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Journal articles on the topic 'Ai family'
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1
Gumeniuk, Oksana, Yevhen Durnov, Olena Shkuratenko, Tetiana Kumeda, and Roman Savytskyi. "Ukrainian Soviet Family: Formative stages." Revista Amazonia Investiga 10, no. 38 (April 12, 2021): 188–96. http://dx.doi.org/10.34069/ai/2021.38.02.18.
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The purpose of the article: is to determine the peculiarities of the formation of family policy of the Soviet government and the co-existence of private and public in the household of Ukrainian families during the existence of the Soviet system. Research methods: comparative method, method of analogy, analysis and synthesis method, method induction and deduction were used in the course of the research. The results of the research. A comparative analysis of the peculiarities of the existence of Soviet families at different stages of the Soviet period was conducted. The parallels were drawn between the traditional Ukrainian family in the pre-revolutionary period and family innovations in the Soviet period. Practical implication. A generalized description of the position of the Ukrainians as a common element of the Soviet people under the Soviet system is provided. Value/Originality. The role of statistics alongside memories for a better reflection of the daily life of the Ukrainian Soviet family under the conditions of double standards of Soviet society is shown for the first time.
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Jung, Jae-Geol. "The AI Period Family and Buddhist Community." Journal of Social Thoughts and Culture 21, no. 03 (September 30, 2018): 107–34. http://dx.doi.org/10.17207/jstc.2018.9.21.3.107.
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Ulrich, Patrick, Vanessa Frank, and Ricardo Buettner. "Artificial intelligence in small and medium-sized family firms: An empirical study on the impact of family influence." Corporate Governance and Organizational Behavior Review 7, no. 1 (2023): 72–80. http://dx.doi.org/10.22495/cgobrv7i1p7.
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Artificial intelligence (AI) is one of the most important technologies of the future (Crew, 2020). So far, however, AI has been insufficiently deployed. This applies not only to family businesses, but especially to them. In terms of decision-making, these companies have a number of specific characteristics which mean that they find AI less relevant and may also be skeptical. The article discusses specifics of AI use in family businesses on the basis of a German empirical study. The paper shows that family businesses use AI less frequently and are also less open to the technology than non-family businesses. Socioemotional wealth (SEW) (Gómez-Mejia et al., 2007) serves as the theoretical basis. Based on the SEW, it is argued that although family businesses are aware of the need to apply new theories, they have so far underestimated the potentials and tend to be rather skeptical about applying these technologies. This view is supported by the empirical study. In addition, some differences between small and medium-sized enterprises (SMEs) and large companies are also discussed in the paper.
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Prasad, M. K., S. Laouina, M. El Alloussi, H. Dollfus, and A. Bloch-Zupan. "Amelogenesis Imperfecta." Journal of Dental Research 95, no. 13 (October 1, 2016): 1457–63. http://dx.doi.org/10.1177/0022034516663200.
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Amelogenesis imperfecta (AI) is a clinically and genetically heterogeneous group of diseases characterized by enamel defects. The authors have identified a large consanguineous Moroccan family segregating different clinical subtypes of hypoplastic and hypomineralized AI in different individuals within the family. Using targeted next-generation sequencing, the authors identified a novel heterozygous nonsense mutation in COL17A1 (c.1873C>T, p.R625*) segregating with hypoplastic AI and a novel homozygous 8-bp deletion in C4orf26 (c.39_46del, p.Cys14Glyfs*18) segregating with hypomineralized-hypoplastic AI in this family. This study highlights the phenotypic and genotypic heterogeneity of AI that can exist even within a single consanguineous family. Furthermore, the identification of novel mutations in COL17A1 and C4orf26 and their correlation with distinct AI phenotypes can contribute to a better understanding of the pathophysiology of AI and the contribution of these genes to amelogenesis.
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Cherneha, Vitalii, Alina Bohdanets, and Olena Kononets. "Forms and ways of defending family rights and interests in Ukraine." Revista Amazonia Investiga 11, no. 49 (February 11, 2022): 189–97. http://dx.doi.org/10.34069/ai/2022.49.01.21.
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This study taps the potential of forms of defence of family rights and interests in Ukraine. It speaks in favour of the establishment of the Family Court in Ukraine by adopting the best foreign practices. It also presents an updated systematics in terms of ways to defend family rights and interests and contains the amendments to the Family and Civil Codes of Ukraine to harmonize family law terms with civil law ones, improve them and correctly name the ways of defending family and civil rights and interests. It points at and offers to remove legal impediments that prevent the extension of the limitation period in the case stipulated in Part 3, Article 138 of the Family Code of Ukraine. This study also seeks to show the existing problems and opportunities in terms of forms and ways of defending family rights and interests in Ukraine. For this end, the following methods of scientific inquiry have been used: analysis, analogy, deduction, induction, synthesis, historical, systematic, structural and functional, comparative, logical and semantic, formal and logical, modelling methods.
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Donina, Olga, Alsu Salikhova, Irina Aryabkina, Margarita Kovardakova, and Yulia Chernova. "Normative models and trends in the development of intra-family relations in modern conditions." Revista Amazonia Investiga 10, no. 38 (April 12, 2021): 51–58. http://dx.doi.org/10.34069/ai/2021.38.02.5.
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The article notes that each culture has its own «normative» model of the family, characterized by its defining parameters. These parameters reflect different indicators – descriptors – as attributes that determine the corresponding value and behavior in society. The types of family relationships identified by humanitarian science are revealed. It is proved that in a retrospective of the historical development of mankind, the relationships not only of the family and society, but also of the family and the individual changed, which depended on many factors. The article analyzes the negative trends of marriage and family relations, it is noted that along with the form of actual (civil) marriage, there is a tendency to the appearance of a large number of other forms of marriage unions: guest, concubinate, open marriage, business marriage, fictitious, creative union, polygyny, group marriage, same-sex cohabitation, virtual marriage (web-marriage), etc. This trend leads to a change in the content of the phenomenon of marriage, the adoption of actual marriage as a social norm. It is noted that today the semantic attitudes of a person are deformed and the concepts of the purpose and values of life are distorted, there is a noticeable turn of mass consciousness from the collectivist values of the family to the individual values of the person, which to a certain extent disorganizes both family life and social relations. It is noted that according to the results of the study, the authors of this article developed an educational module "Modern Family" for students of a different professional fields.
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Yakymchuk, Iryna P., Serhii M. Olkhovetskyi, Ilona V. Rashkovska, Halyna M. Bevz, and Maryna O. Martseniuk. "Experiencing and overcoming financial stress in married couples: A study in COVID 19 pandemic era." Revista Amazonia Investiga 10, no. 42 (July 30, 2021): 124–40. http://dx.doi.org/10.34069/ai/2021.42.06.12.
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The article analyzes interaction of spouses in overcoming financial stress. An online survey of 136 married couples was conducted during the lockdown caused by the spread of COVID-19 accompanied by family income losses. Frequency and severity of discussions on financial topics; level of subjective economic well-being, activity of coping strategies, family cohesion and adaptation were measured. Results showed that the discussion of financial topics is a stressor for married couples, accompanied by contradictions and conflicts, but ultimately helps to improve quality of relations between spouses, and also increases the adaptability of the family system in a situation of socio-economic crisis. Subjects of conflicts were defined. Influence of gender roles on financial consciousness and behavior was shown. Wives are more likely to initiate discussions on economic topics and more inclined to economic anxiety, while husbands showed economic optimism. The severity of financial stress correlates with assessments of family cohesion. Correlations between financial well-being and coping behavior of husbands and wives represent the family as an entire open system. Partners are interdependent in overcoming financial stress. Collective family coping is determined by individual reactions of spouses. The efforts of partners can be congruent and complementary.
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Hubbard, Ryan, and Jake Greenblum. "Surrogates and Artificial Intelligence: Why AI Trumps Family." Science and Engineering Ethics 26, no. 6 (September 22, 2020): 3217–27. http://dx.doi.org/10.1007/s11948-020-00266-6.
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ERTURK, Murat. "Sign Painters of Sakarya: Cemalettin Vural and The Pilicci Family." Art and Interpretation 1, no. 42 (September 26, 2023): 17–23. http://dx.doi.org/10.5152/ai.2023.22071.
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Bjelopoljak, Šejla. "Challenges and Strenghts of Family and School with SCORE-15." Acta Iadertina 20, no. 2 (February 9, 2024): 217–43. http://dx.doi.org/10.15291/ai.4388.
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While a family faces a test of its own resilience on one side, the most vulnerable member – at the same time the strongest – often shows behavioral symptoms on the other side by sending distress signals that “somewhere” something is not working. If this is a child and a student, then they will surely not benefit from the linear approach of institutional support, in which they are labeled for their behavior as an individual who needs to change and adapt to the rules (of the school). The cause lies in the sub-layer of symptoms that the education staff, primarily an expert associate, understand with the help of other members of the family system. They will then try to intensify communication and mutual understanding of common goals. The aim of the research was to examine the challenges and strengths faced by families from the perspective of expert associates using descriptive, causal and assessment methods. Explication of the findings based on the SCORE-15 instrument, in this paper, we examine the quality of support from the perspective of expert associates who, observing the family, confirm the linearity of their own approach, but also the challenge of a family that does not accept changes, yet urgently needs help. The results confirm that in more than 50% of cases the observed families apply a pattern of behavior aimed at preserving traditional values (morphostasis) while resisting to accept change coming from younger generations (morphogenesis) and “without trust and family cohesion, have challenges in balancing functional relationships within the family system”. Also, that expert associates encounter difficulties in the application of the system paradigm and that the linear approach prevails in the work. As for institutional support, with an emphasis on the school system, the findings confirm linearly based actions in the direction of treating the manifestations of the observed symptoms, but not the causes that had led to challenges in children’s behavior, which ultimately leads to dissatisfaction with their own work as expert associates. Judging from the results which represent families that possess values such as nurturing truth, courage and personal resources they use to overcome problems, where protecting the youngest – children – is the number one priority, we can see there is room for establishing partnerships. The expert associates confirmed the systemic perspective when it comes to hoping that the family can cope with developmental challenges.
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Üstün, Ferda, Şeyma Ersolak, and Burcu Toker. "The Moderating Role of Self-Consciousness in the Effect of Work-Family Conflict on Work Engagement." Revista Amazonia Investiga 9, no. 31 (August 7, 2020): 71–81. http://dx.doi.org/10.34069/ai/2020.31.07.7.
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In this study, it was aimed to determine the moderating role of self-consciousness in the effect of work-family conflict on work engagement. This research conducted on 438 academics working in two public universities in Turkey has the relational model. The model created for research purposes was tested with SPSS Process macro software. As a result of the research, significant negative relations were found between work-family conflict and work engagement. Again, As a result of the hierarchical regression analysis, it was observed that self-consciousness does plays a moderating role in the effect of work-family conflict on the job attachment and vigor, sub-dimension of vigor and dedicatin. Accordingly, individuals with high self-consciousness feel less of the negative effects of work-family conflict than individuals with low self-consciousness.
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Haider, Sawera. "Cautionary Considerations for The Role of Artificial Intelligence in Healthcare." Eurasian Journal of Family Medicine 12, no. 3 (September 30, 2023): 171–72. http://dx.doi.org/10.33880/ejfm.2023120309.
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Dear Editor Artificial Intelligence (AI) has the potential to revolutionize healthcare by making it more accessible and adaptive. The use of AI technologies, including large language model tools (LLMs), offers exciting possibilities for improving health outcomes and supporting healthcare professionals, patients, researchers, and scientists. However, it is crucial to approach the integration of AI in healthcare with caution, taking into consideration the lessons learned and potential risks highlighted by experts. One of the key considerations raised in the field of AI in healthcare is the potential for biased data used to train AI systems. Biased data can lead to the generation of misleading or inaccurate health information, exacerbating existing disparities and hindering equitable access to care. To mitigate this, it is important to ensure that AI systems are trained on diverse and representative datasets, reducing biases and promoting inclusiveness and equity (1). Ensuring the reliability and accuracy of AI-generated responses, particularly in LLMs, is another critical aspect that requires attention. Although LLMs can produce responses that appear authoritative and plausible, there is a risk of these responses being completely incorrect or containing serious errors, especially in the context of health-related information. Rigorous evaluation, expert supervision, and transparent quality assurance mechanisms are necessary to ensure the reliability of AI-generated insights and prevent potential harm to patients (2,3) The protection of sensitive health data and the preservation of patient privacy are paramount in the development and deployment of AI technologies. It is crucial to establish robust consent procedures, implement secure data storage practices, and prioritize data protection measures. Striking the right balance between data accessibility and privacy protection is essential to maintain public trust and ensure the responsible use of AI in healthcare (4,5). Furthermore, the potential misuse of AI technologies, including LLMs, for the dissemination of health-related disinformation poses a significant concern. Highly convincing false health information generated by AI systems can be difficult for the public to differentiate from reliable sources. Proactive measures, such as regulation and monitoring, are necessary to prevent the spread of health-related disinformation, preserve public trust, and uphold the integrity of healthcare systems (6,7). In harnessing the potential of AI to improve human health, it is imperative for policy-makers, healthcare professionals, and technology firms to prioritize patient safety, protection, and well-being. Ethical principles, transparency, accountability, inclusiveness, and responsible governance should underpin the design, development, and deployment of AI technologies in healthcare. While AI holds immense promise in transforming healthcare, it is essential to approach its implementation with caution. By learning from the challenges and risks highlighted by experts, and by adhering to ethical principles and responsible practices, we can maximize the benefits of AI while minimizing potential adversities. This will not only ensure the well-being of individuals but also contribute to the advancement of healthcare for all. Keywords: artificial intelligence, technology, healthcare
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Kovalchuk, Zoriana, Yana Raievska, Liudmіla Beheza, Iryna Ievtushenko, and Halyna Odyntsova. "Socio-psychological features and legal norms of the life of adolescents from distant families of labor migrants." Revista Amazonia Investiga 10, no. 46 (October 25, 2021): 79–91. http://dx.doi.org/10.34069/ai/2021.46.10.7.
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The article considers the distant family as a social institution of education, formation and development of personality. The current state of solving the problem of socio-psychological and legal work with children from distant families is analyzed. The sample of the study is described in detail by family type, sex, absence of father / mother and duration of absence. The peculiarities of the functioning of the emotional sphere of adolescents from distant families (anxiety, aggression, hostility), low level of socio-psychological adaptation, low level of emotional well-being in the family have been experimentally determined. The relationship between the degree of socio-psychological adaptation of the adolescent’s personality and emotional states is proved. The dependence of gender differences in the functioning of the family and the emotional sphere of adolescents has been established. The types of groups of adolescents from distant families are determined, in particular: anxious, aggressive-anxious, hostile-anxious, aggressive-hostile, absence of manifestation of negative signs. A structural and functional model of social and psychological support of remote families has been developed, which provides for work with adolescents and their parents with the use of special technologies to ensure the effectiveness of conditions that form harmonious family relationships.
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G. Maroju, Revathi, Sonali G. Choudhari, Mohammed Kamran Shaikh, Sonali K. Borkar, and Harshal Mendhe. "Application of artificial intelligence-based strategies for promotion of family planning in India: a scoping review." F1000Research 12 (November 8, 2023): 1447. http://dx.doi.org/10.12688/f1000research.138006.1.
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Family planning is regarded as an essential component of public health and development in India since it promotes reproductive health, gives people more autonomy, and ensures population growth that is sustainable. Family planning programmes have an effect on women's health by ensuring that everyone has access to counselling and medical care related to sexual and reproductive problems. The incorporation of artificial intelligence (AI) into family planning strategy has the ability to ensure effective execution and greatly increase programme efficacy. In general, AI has the potential to improve the efficiency, accessibility, and personalization of family planning. However, it's essential to ensure that AI-powered solutions are developed and used responsibly, with a focus on privacy, ethics, and equity. The implementation of the government's family planning policy in the nation and the potential benefits of those AI-based applications are the primary focus of this scoping review.
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Kida, M., T. Ariga, T. Shirakawa, H. Oguchi, and Y. Sakiyama. "Autosomal-dominant Hypoplastic Form of Amelogenesis Imperfecta Caused by an Enamelin Gene Mutation at the Exon-Intron Boundary." Journal of Dental Research 81, no. 11 (November 2002): 738–42. http://dx.doi.org/10.1177/0810738.
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Amelogenesis imperfecta (AI) is currently classified into 14 distinct subtypes based on various phenotypic criteria; however, the gene responsible for each phenotype has not been defined. We performed molecular genetic studies on a Japanese family with a possible autosomal-dominant form of AI. Previous studies have mapped an autosomal-dominant human AI locus to chromosome 4q11-q21, where two candidate genes, ameloblastin and enamelin, are located. We studied AI patients in this family, focusing on these genes, and found a mutation in the enamelin gene. The mutation detected was a heterozygous, single-G deletion within a series of 7 G residues at the exon 9-intron 9 boundary of the enamelin gene. The mutation was detected only in AI patients in the family and was not detected in other unaffected family members or control individuals. The male proband and his brother showed hypoplastic enamel in both their deciduous and permanent teeth, and their father showed local hypoplastic defects in the enamel of his permanent teeth. The clinical phenotype of these patients is similar to that of the first report of AI caused by an enamelin gene mutation. Thus, heterogeneous mutations in the enamelin gene are responsible for an autosomal-dominant hypoplastic form of AI.
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Cherneha, Vitalii, Nataliia Fedorchenko, and Nataliia Borsuk. "Legal regulation of family relations in Ukraine and the Republic of Latvia: comparative and analytical research." Revista Amazonia Investiga 11, no. 51 (April 20, 2022): 232–39. http://dx.doi.org/10.34069/ai/2022.51.03.23.
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The study seeks to find common and different features in approaches used by Ukrainian and Latvian legislators to regulate family relations, and to suggest how to develop family legislation of Ukraine. For this end, the following methods of scientific inquiry have been used: analysis, analogy, deduction, induction, synthesis, historical and legal, comparative and legal, legal modeling methods. It was found out that the Republic of Latvia lacks some legislative solutions in respect of which Ukraine has law enforcement practice. This study offers to supplement the Family Code of Ukraine with the provision saying that a marriage shall be considered not concluded unless it was registered by a civil registration officer. Considering the Latvian experience, the legislative support for appointing co-guardians in Ukraine has been proven expedient.
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Alvarez, Camila, María Andrea Aragón, Yejin Lee, Sandra Gutiérrez, Patricia Méndez, Dabeiba Adriana García, Liliana Otero, and Jung-Wook Kim. "A Recurrent FAM83H Mutation in an Extended Colombian Family and Variable Craniofacial Phenotypes." Children 9, no. 3 (March 4, 2022): 362. http://dx.doi.org/10.3390/children9030362.
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Amelogenesis imperfecta (AI) is a collection of rare genetic disorders affecting the quantity and/or quality of the tooth enamel. AI can be classified into three major types according to the clinical phenotype: hypoplastic, hypocalcified, and hypomatured. Among them, the hypocalcified type shows the weakest physical properties, leaving rough and discolored enamel surfaces after tooth eruption. To date, mutations in the FAM83H gene are responsible for the autosomal-dominant hypocalcified AI. In this study, we recruited a four-generation Colombian family with hypocalcified AI and identified a recurrent nonsense mutation in the FAM83H gene (NM_198488.5:c.1289C>A, p.(Ser430 *)) by candidate gene sequencing. Cephalometric analyses revealed the anterior open bite that occurred in the proband is not correlated with the AI in this family.
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Seymen, Figen, Hong Zhang, Yelda Kasimoglu, Mine Koruyucu, James P. Simmer, Jan C. C. Hu, and Jung-Wook Kim. "Novel Mutations in GPR68 and SLC24A4 Cause Hypomaturation Amelogenesis Imperfecta." Journal of Personalized Medicine 12, no. 1 (December 28, 2021): 13. http://dx.doi.org/10.3390/jpm12010013.
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Amelogenesis imperfecta (AI) is a rare genetic condition affecting the quantity and/or quality of tooth enamel. Hypomaturation AI is characterized by brownish-yellow discoloration with increased opacity and poorly mineralized enamel prone to fracture and attrition. We recruited three families affected by hypomaturation AI and performed whole exome sequencing with selected individuals in each family. Bioinformatic analysis and Sanger sequencing identified and confirmed mutations and segregation in the families. Family 1 had a novel homozygous frameshift mutation in GPR68 gene (NM_003485.3:c.78_83delinsC, p.(Val27Cysfs*146)). Family 2 had a novel homozygous nonsense mutation in SLC24A4 gene (NM_153646.4:c.613C>T, NP_705932.2:p.(Arg205*)). Family 3 also had a homozygous missense mutation in SLC24A4 gene which was reported previously (c.437C>T, p.(Ala146Val)). This report not only expands the mutational spectrum of the AI-causing genes but also improves our understanding of normal and pathologic amelogenesis.
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Alghofaili, K., R. Hegele, D. Sullivan, and J. Frohlich. "COMPLETE APO AI DEFICIENCY IN A FAMILY FROM IRAQ." Atherosclerosis Supplements 9, no. 1 (May 2008): 112. http://dx.doi.org/10.1016/s1567-5688(08)70451-3.
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Coser, Ashleigh, Kelley J. Sittner, Melissa L. Walls, and Tina Handeland. "Caregiving Stress Among American Indians With Type 2 Diabetes: The Importance of Awareness of Connectedness and Family Support." Journal of Family Nursing 24, no. 4 (November 2018): 621–39. http://dx.doi.org/10.1177/1074840718810550.
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American Indian (AI) communities experience a disproportionate rate of Type 2 diabetes (T2D) and cumulative exposure to stress. Although this link is well researched among various populations, it has not been examined among AI communities. Path analysis was used to examine a multiple-mediator model to explain how caregiver stress influences self-reported mental and physical health among 100 AI participants with T2D. Caregiver stress was negatively associated with physical and mental health. Physical health was positively associated with family/community connectedness and mental health was positively associated with both family support and connectedness. The relationship between caregiver stress and mental health was partially mediated by family/community connectedness; caregiver stress had no indirect effects on physical health via either hypothesized mediator. Findings demonstrate the importance of integrating individuals’ connection to family and community and its influence on caregiver stress and mental health in intervention programs targeting diabetes management and care among AI communities.
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Kim, Y. J., J. Kang, F. Seymen, M. Koruyucu, H. Zhang, Y. Kasimoglu, M. Bayram, et al. "Alteration of Exon Definition Causes Amelogenesis Imperfecta." Journal of Dental Research 99, no. 4 (January 30, 2020): 410–18. http://dx.doi.org/10.1177/0022034520901708.
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Amelogenesis imperfecta (AI) is a collection of genetic disorders affecting the quality and/or quantity of tooth enamel. More than 20 genes are, so far, known to be responsible for this condition. In this study, we recruited 3 Turkish families with hypomaturation AI. Whole-exome sequence analyses identified disease-causing mutations in each proband, and these mutations cosegregated with the AI phenotype in all recruited members of each family. The AI-causing mutations in family 1 were a novel AMELX mutation [NM_182680.1:c.143T>C, p.(Leu48Ser)] in the proband and a novel homozygous MMP20 mutation [NM_004771.3:c.616G>A, p.(Asp206Asn)] in the mother of the proband. Previously reported compound heterozygous MMP20 mutations [NM_004771.3:c.103A>C, p.(Arg35=) and c.389C>T, p.(Thr130Ile)] caused the AI in family 2 and family 3. Minigene splicing analyses revealed that the AMELX missense mutation increased exonic definition of exon 4 and the MMP20 synonymous mutation decreased exonic definition of exon 1. These mutations would trigger an alteration of exon usage during RNA splicing, causing the enamel malformations. These results broaden our understanding of molecular genetic pathology of tooth enamel formation.
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Ozdemir, D., P. S. Hart, E. Firatli, G. Aren, O. H. Ryu, and T. C. Hart. "Phenotype of ENAM Mutations is Dosage-dependent." Journal of Dental Research 84, no. 11 (November 2005): 1036–41. http://dx.doi.org/10.1177/154405910508401113.
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Five mutations in the ENAM gene have been found to cause hypoplastic amelogenesis imperfecta (AI), with phenotypes ranging from localized enamel pitting in carriers to severe hypoplastic AI. To determine the generality of ENAM mutations in hypoplastic AI, we sequenced the ENAM gene in ten Turkish families segregating autosomal hypoplastic AI. In two families, ENAM mutations were found. A novel nonsense mutation (g.12663C>A; p.S246X) was identified in one family segregating local hypoplastic AI as a dominant trait. Affected individuals in a second family segregating autosomal-recessive AI were compound heterozygotes for a novel insertion mutation (g.12946_12947insAGTCAGTACCAGTACTGTGTC) and a previously described insertion (g.13185_13186insAG) mutation. Heterozygous carriers of either insertion had a localized enamel-pitting phenotype. These findings substantiate that enamel phenotypes of ENAM mutations may be dose-dependent, with generalized hypoplastic AI segregating as a recessive trait and localized enamel pitting segregating as a dominant trait.
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Kim, Youn Jung, Yejin Lee, Wonseon Chae, and Jung-Wook Kim. "Recessive COL17A1 Mutations and a Dominant LAMB3 Mutation Cause Hypoplastic Amelogenesis Imperfecta." Journal of Personalized Medicine 13, no. 10 (October 14, 2023): 1494. http://dx.doi.org/10.3390/jpm13101494.
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Hereditary conditions that affect tooth enamel in quantity and/or quality are called amelogenesis imperfecta (AI). AI can occur as an isolated condition or as a symptom of a syndrome. An OMIM search with the term “AI” yielded 79 result entries. Mutations in the same gene cause syndromic or non-syndromic AI, depending on the nature of the mutations. In this study, we recruited two AI families and performed mutational analysis using whole-exome sequencing. The proband of family 1, with hypoplastic pitted AI and mild localized atopic dermatitis, had compound heterozygous COL17A1 mutations (paternal NM_000494.4: c.3598G>T, p.Asp1200Tyr and maternal c.1700G>A, p.Gly567Glu). The proband of family 2, with hypoplastic pitted AI and Jervell and Lange-Nielsen syndrome, had a recurrent LAMB3 mutation (NM_000228.3: c.3463_3475del, p.(Glu1155Thrfs*51)) in addition to compound heterozygous mutations in the KCNQ1 gene.
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Hargrove, GM, A. Junco, and NC Wong. "Hormonal regulation of apolipoprotein AI." Journal of Molecular Endocrinology 22, no. 2 (April 1, 1999): 103–11. http://dx.doi.org/10.1677/jme.0.0220103.
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Apolipoprotein AI (apo AI) is the major protein component of the serum high-density lipoprotein (HDL) particles. The antiatherogenic properties of apo AI alone or as part of HDL and their inverse correlation with the incidence of coronary heart disease underlie the clinical importance of the protein. A detailed understanding of the mechanisms by which apo AI is regulated will help us develop new and better ways to manipulate expression of the protein. Although there are many factors that influence apo AI expression, endogenous hormones are attractive because simple changes in abundance of these compounds will alter gene activity. Hormones belonging to the thyroid/steroid family that influence activity of the gene include thyroid hormone, glucocorticoids, gender-specific steroids and retinoic acid. Whereas thyroid, glucocorticoid and estradiol enhance activity of the gene, retinoic acid and androgens decrease it. The mechanisms that mediate the effects of the hormones include direct effects of the ligand and nuclear receptor complex on gene activity. However, indirect means involving the participation of transcription factors other than the hormone receptors are also possible. In summary, members of the same hormone family may have different mechanisms that mediate their activities on apo AI gene activity.
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Tokarchuk, Liudmyla, Olga Pereverzyeva, Nataliia Volkova, Inna Yanitska, and Mykola Bodnaruk. "Constitutional principles of protection of family rights and interests of the child in civil proceedings." Revista Amazonia Investiga 11, no. 49 (February 11, 2022): 61–68. http://dx.doi.org/10.34069/ai/2022.49.01.7.
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In today's society, paradigms and models of child-rearing, values, and opportunities of parents, competent authorities, and the court to ensure the rights of the child are changing. Most states have identified the protection of family rights and interests of the child, the avoidance of violence against the child, the prohibition of bullying, etc. among the priority areas of state policy. It is important to analyze the constitutional principles of protection of family rights and the concept “the best interests of the child” in civil proceedings, because it is the court that the legislator has the broadest powers in this area, compared to other jurisdictions. The work aims to study the guiding constitutional principles based on which the court can protect the family rights and interests of the child. The research methodology consists of general theoretical and special scientific methods, namely: hermeneutic, system-structural, structural-functional, historical-legal, comparative-legal, and formal-logical. As a result of the study, the mechanisms of the best possible protection of children's rights by the courts were analyzed. An analysis of current case law, including the case-law of the European Court of Human Rights, concluded that today courts and other competent bodies pay considerable attention to analyzing "how a child will be better" and make informed decisions and, if necessary, correct previous mistakes.
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Wyman, Mary, Nickolas Lambrou, Debra Miller, Sunshine Wheelock, Florence Petri, Marlene Summers, Carey Gleason, and Dorothy Edwards. "Perspectives on Dementia Service Use and Family Caregiving Among the Oneida Nation of Wisconsin." Innovation in Aging 4, Supplement_1 (December 1, 2020): 710. http://dx.doi.org/10.1093/geroni/igaa057.2498.
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Abstract Prevalence of dementia among American Indian/Alaska Natives (AI/AN) is higher than in white populations, and AI/AN communities experience dementia care service gaps. This study explored perspectives within AI/AN communities regarding dementia, the family caregiver role, and home and community-based service use. Using tenets of Community-Based Participatory Research, qualitative interviews and a brief survey were conducted with 22 members of the Oneida Nation of Wisconsin (mean age 71 years, 73% female). Of the sample, 63.6% identified as a past or current family caregiver for a loved one with dementia. Awareness of services varied; 82% were aware of memory cafes, 75% knew of the caregiver support group, and 43% were familiar with dementia care specialist services. Thematic analysis revealed shared values of involving the family and community in dementia care, and offer guidance to support greater engagement in services. Implications for culturally-tailored service provision within AI/AN communities are discussed.
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Al-Qemaqchi, Nahedh Taha, and Tara Azad Rauof. "Assessing the habitability of single-family houses in Iraq a case study in Sulaimaniya city." Revista Amazonia Investiga 10, no. 43 (August 31, 2021): 175–88. http://dx.doi.org/10.34069/ai/2021.43.07.18.
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A residence strongly influences the lifestyle of its occupants and may be a determining factor for the family's quality of life. To maintain the comfort and well-being of its occupants, each dwelling should be adequate for the household. The dwelling should therefore provide a habitable and comfortable environment. Housing space standards in many countries set the conditions for achieving these objectives and generally regulate the overall sizes of individual rooms in addition to the layouts of dwellings. This paper seeks to explore the relationship between habitable area ratios and other component area ratios, such as the structure area, the service area, the circulation area and the open space area, in the context of Iraqi single-family houses. Therefore, this study aims to answer two key questions: Is the habitable area ratio among other ratios compatible with Iraqi housing standards? And does it affect the performance of the units? To this end, the paper adopted a methodology for calculating each area ratio in several newly established complexes in Sulaimaniya City and their relationship to the size of different plot areas for assessing the habitability and efficiency of different house plot areas.
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Wyman, Mary, Debra Miller, Sunshine Wheelock, Florence Petri, Elijah Metoxen, Nickolas Lambrou, and Carey Gleason. "Utilization of Home and Community-Based Resources by Family Caregivers in a Native American Community." Innovation in Aging 5, Supplement_1 (December 1, 2021): 352–53. http://dx.doi.org/10.1093/geroni/igab046.1370.
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Abstract Family caregiving is uniquely significant for elder care within American Indian/Alaska Native (AI/AN) communities. Compared to other populations, AI/AN older adults are disproportionately impacted by chronic conditions and AI/AN are more likely to be family caregivers. However, AI/AN are underrepresented in aging research. We describe a successful research partnership with the Oneida Nation of Wisconsin and report results of a recent survey of tribal members and affiliates (N=405), covering demographics of caregiving, awareness and use of home and community-based resources, and perceptions of factors impacting service use. Approximately 42% of respondents were current caregivers; of these, roughly one-third knew how to access various resources. Most common sources of knowledge were a health care/social worker or finding information on their own. Traditional cultural values were viewed as variably supportive of resource utilization, depending on service type. Implications for efforts to address disparities for AI/AN aging and support caregivers will be discussed.
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蔡崇煌, 蔡崇煌, 顏啟華 Chung-Huang Tsai, 林正介 Chi-Hua Yen, 吳旻寰 Cheng-Chieh Lin, 李孟智 李孟智, and 王俊堯 Meng-Chih Lee. "資訊科技輔以人工智慧(AI)優化家庭檔案數位化." 台灣家庭醫學雜誌 34, no. 1 (March 2024): 024–37. http://dx.doi.org/10.53106/168232812024033401003.
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<p>目的：家庭檔案的建立在家庭醫學科門診是一門重要議題，既可了解家庭對健康的影響，尚可作為住院醫師的訓練，目前鮮少有關數位化資料可資使用。</p> <p>方法：使用關鍵詞 “family archive(s)” OR “family file(s)” OR “家庭檔案”，搜尋PubMed及華藝線上圖書館。使用電腦型號為ASUS筆記型LAPTOP-TSDMU3MP，配備Intel Core i7-1165G7 2.80GHz處理器、32 GB RAM、運行Windows 11、64位元及Microsoft 365軟體之Excel及其VBA，輔以人工智慧(AI)，數位化完成後再使用舊版Excel做測試。</p> <p>結果：大部分資料皆可使用選單式勾選，使用自訂表單做 “功能面板” 的設計，加入不同的功能按鍵配合程式設計，使用起來更友善。可將看診注意事項及重點註記在儲存格附註上，使得在簡潔的小範圍，即可達到最大的空間應用。利用公式，APGAR score可自動計算、自動評估家庭的功能嚴重度且可使用語音。家譜(Pedigree)製作可使用內建模板(templates)直接作修改，且根據填入性別及婚姻狀況自動完成部分圖形。點擊"改名"會自動修改工作表名稱為個案姓名，可自動形成家庭檔案目錄於第一個工作表(“Index”)，點擊工作表名稱（或個案姓名），即自動連到相應的家庭檔案，且可資快速交叉查詢。</p> <p>結論：使用Excel數位化的家庭檔案，可在簡潔小範圍，達到最大空間應用、快速交叉搜尋家人及其他資料、APGAR嚴重度判別、疾病篩檢的自動建議、根據性別及婚姻狀況自動連動部分Pedigree等，具有類似AI的自動判別功能，大大提高在臨床上的應用。再者，本文提及的一些資訊科技設計方法，輔以AI技術，可作為自學或初學程式語言者參考。</p> <p> </p><p>Objectives: Family archives play a crucial role in the practice of family medicine as they not only help physicians examine the influence of family health history on patients but also serve as effective training materials for family medicine residents. However, access to digitalized family archives has remained limited.</p> <p>Methods: "Family archive(s)" OR "family file(s)" were adopted as keywords to search related papers in PubMed and Airiti Library, using ASUS notebook LAPTOP-TSDMU3MP, equipped with Intel Core i7-1165G7 2.80GHz processor, 32GB RAM, running Windows 11, 64-bit, and Microsoft 365 software’s Excel VBA supplemented by artificial intelligence (AI). The old version of Excel was used to conduct post-digitalization tests.</p> <p>Results: Most of the data can be selected using menus after design and subsequent optimization. The "function panel" can be used to design a tailored User Form, and different function keys can be programmed to enhance user friendliness. Excel cells are available for transcribing issues requiring attention, helping achieving maximum space efficiency. Formulas are developed, with voice function provided, to automatically calculate the patient’s APGAR score and assess family functions. Pedigree can be drawn and modified directly on built-in templates, and parts of the pedigree diagram can be automatically completed by entering the patient’s sex and marital status. Clicking "Name" will automatically change the worksheet name to that of the patient, forming a family file directory on the first worksheet (Index). Clicking the worksheet name (or the name of the patient) produces the corresponding family file for quick query or modification.</p> <p>Conclusions: The digitalized family archives by Excel, marked with maximum space efficiency, greatly benefits the clinical practice of family physicians by facilitating an array of AI-like automation functions, including quick identification and cross-reference of the patient’s family data and APGAR assessment of family function, automatic pedigree drawing based the patient’s sex and marital status, and even provision of recommendation for disease screening. Furthermore, some of the information technology design methods mentioned in this article, supplemented by AI technology, can also be used as a reference for self-study or for beginners of programming languages.</p> <p> </p>
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Smith, C. E. L., J. A. Poulter, S. J. Brookes, G. Murillo, S. Silva, C. J. Brown, A. Patel, et al. "Phenotype and Variant Spectrum in the LAMB3 Form of Amelogenesis Imperfecta." Journal of Dental Research 98, no. 6 (March 24, 2019): 698–704. http://dx.doi.org/10.1177/0022034519835205.
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Amelogenesis imperfecta (AI) is a heterogeneous group of inherited disorders characterized by abnormal formation of dental enamel, either in isolation or as part of a syndrome. Heterozygous variants in laminin subunit beta 3 ( LAMB3) cause AI with dominant inheritance in the absence of other cosegregating clinical features. In contrast, biallelic loss-of-function variants in LAMB3 cause recessive junctional epidermolysis bullosa, characterized by life-threatening skin fragility. We identified 2 families segregating autosomal dominant AI with variable degrees of a distinctive hypoplastic phenotype due to pathogenic variants in LAMB3. Whole exome sequencing revealed a nonsense variant (c.3340G>T, p.E1114*) within the final exon in family 1, while Sanger sequencing in family 2 revealed a variant (c.3383-1G>A) in the canonical splice acceptor site of the final exon. Analysis of cDNA from family 2 revealed retention of the final intron leading to a premature termination codon. Two unerupted third molar teeth from individual IV:5 in family 2 were subject to computerized tomography and scanning electron microscopy. LAMB3 molar teeth have a multitude of cusps versus matched controls. LAMB3 enamel was well mineralized but pitted. The architecture of the initially secreted enamel was abnormal, with cervical enamel appearing much less severely affected than coronal enamel. This study further defines the variations in phenotype-genotype correlation for AI due to variants in LAMB3, underlines the clustering of nonsense and frameshift variants causing AI in the absence of junctional epidermolysis bullosa, and highlights the shared AI phenotype arising from variants in genes coding for hemidesmosome proteins.
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Song, Ji-Soo, Yejin Lee, Teo Jeon Shin, Hong-Keun Hyun, Young-Jae Kim, and Jung-Wook Kim. "Identification of a Novel FAM83H Mutation and Management of Hypocalcified Amelogenesis Imperfecta in Early Childhood." Children 9, no. 3 (March 18, 2022): 429. http://dx.doi.org/10.3390/children9030429.
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Amelogenesis imperfecta (AI) is a heterogeneous group of rare genetic disorders affecting amelogenesis during dental development. Therefore, the molecular genetic etiology of AI can provide information about the nature and progress of the disease. To confirm the genetic etiology of AI in a Korean family with an autosomal dominant inheritance, pedigree and mutational analyses were performed. DNA was isolated from the participating family members and whole-exome sequencing was performed with the DNA sample of the father of the proband. The identified mutation was confirmed by Sanger sequencing. The mutational analysis revealed a novel nonsense mutation in the FAM83H gene (NM_198488.5: c.1363C > T, p.(Gln455*)), confirming autosomal dominant hypocalcified AI. Full-mouth restorative treatments of the affected children were performed after the completion of the deciduous dentition. Early diagnosis of AI can be useful for understanding the nature of the disease and for managing the condition and treatment planning.
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Ozdemir, D., P. S. Hart, O. H. Ryu, S. J. Choi, M. Ozdemir-Karatas, E. Firatli, N. Piesco, and T. C. Hart. "MMP20 Active-site Mutation in Hypomaturation Amelogenesis Imperfecta." Journal of Dental Research 84, no. 11 (November 2005): 1031–35. http://dx.doi.org/10.1177/154405910508401112.
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The Amelogenesis Imperfecta (AI) are a group of clinically and genetically heterogeneous disorders that affect enamel formation. To date, mutations in 4 genes have been reported in various types of AI. Mutations in the genes encoding the 2 enamel proteases, matrix metalloproteinase 20 ( MMP20) and kallikrein 4 ( KLK4), have each been reported in a single family segregating autosomal-recessive hypomaturation AI. To determine the frequency of mutations in these genes, we analyzed 15 Turkish probands with autosomal-recessive hypomaturation AI for MMP20 and KLK4 gene mutations. No KLK4 mutations were found. A novel MMP20 mutation (g.16250T>A) was found in one family. This missense mutation changed the conserved active-site His226 residue of the zinc catalytic domain to Gln (p.H226Q). Zymogram analysis demonstrated that this missense mutation abolished MMP20 proteolytic activity. No MMP20 mutations were found in the remaining 14 probands, underscoring the genetic heterogeneity of hypomaturation AI.
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Saleem, Irfan, Shah Md Safiul Hoque, Rubeena Tashfeen, and Manuela Weller. "The Interplay of AI Adoption, IoT Edge, and Adaptive Resilience to Explain Digital Innovation: Evidence from German Family-Owned SMEs." Journal of Theoretical and Applied Electronic Commerce Research 18, no. 3 (August 17, 2023): 1419–30. http://dx.doi.org/10.3390/jtaer18030071.
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This study aims to discover how artificial intelligence adoption in notion (AI) plays a role in digital innovation using the theoretical foundation of diffusion of innovations and effectuation theories. The current research also investigates the moderating role of other edge Internet of Things (IoT) and the mediating role of adaptive resilience. The data collection is performed using a survey conducted among employees of family-owned SMEs. The findings reveal that AI forecasts digital innovation through adaptive resilience. The results also confirm the moderating role of threat to IoT edge and the mediating role of adaptive resilience, but moderated mediating is not supported. We conclude that family-owned SMEs intend to adopt AI, but SMEs face challenges using IoT edge. This study has implications for family firms specifically and technology adopters in general.
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Shobhana Sanjay Singh. "Use of AI-driven support system to help courts in predicting child custody outcomes in India." World Journal of Advanced Research and Reviews 23, no. 1 (July 30, 2024): 1088–92. http://dx.doi.org/10.30574/wjarr.2024.23.1.2108.
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Predicting child protection outcomes using AI-driven support systems under Indian law raises interesting possibilities and challenges. This study examines the feasibility of using AI in Indian courts to assist in child custody decision-making. The Indian legal system is complex and topical in child custody cases, where sociocultural and family factors heavily influence judicial decisions. The potential integration of AI provides an opportunity for objectivity and continuity in accuracy to enter the system. However, there are several challenges to implementing such a system in India. These areas include addressing ethical concerns related to algorithmic decision-making about sensitive family matters using the right, this research topic raises questions about the feasibility of introducing AI into the Indian childcare decision-making process. This suggests the need to carefully consider these challenges and their potential benefits when assessing the utility and appropriateness of using AI-driven support systems in Indian courts to set childcare outcomes to help judges in faster fact-finding and to make decisions on the same. In addition, we analyzed the use of AI in other countries.
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Ortel, Thomas L., Fatih Cagri Sarikaya, Ahmet Alptekin, Karen E. Hansen, Robert A. S. Roubey, Anjali Sharathkumar, Robert W. Hoffman, et al. "Antiphospholipid Syndrome: Clinical Characteristics of Patients and Affected Family Members From Multiplex Families." Blood 114, no. 22 (November 20, 2009): 2972. http://dx.doi.org/10.1182/blood.v114.22.2972.2972.
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Abstract Abstract 2972 Poster Board II-950 Background: Antiphospholipid syndrome (APS) is characterized by venous and/or arterial thromboembolic events, recurrent fetal loss, and persistently elevated antiphospholipid antibody (aPL) levels. Familial clustering of individuals with elevated aPL levels occurs, and up to 37% of patients with APS have one or more relatives with at least one clinical feature of APS. Individuals with elevated aPL levels or APS are also frequently identified in families with other autoimmune (AI) disorders, such as lupus or rheumatoid arthritis. Individuals with different autoimmune disorders appear to share common susceptibility loci, suggesting that a common set of susceptibility genes may contribute to clinically distinct autoimmune disorders. To investigate the heritability of APS, we are enrolling patients with APS who have one or more family members affected by APS (multiplex APS) or by other, non-APS, autoimmune disorders (multiplex AI). This study summarizes clinical characteristics of probands and family members enrolled to date in these two groups. Methods: Probands meeting clinical and laboratory criteria for APS (Miyakis, et al. J.Thromb.Haemost, 2006;4: 295-306) who had at least one clinically affected relative positive for either APS or another autoimmune disorder (e.g., lupus, rheumatoid arthritis) were recruited and enrolled into the study. A detailed personal and family history was obtained and relevant family members were also approached to participate in the study. Blood specimens were collected for genetic, serologic, and coagulation testing. Results: Review of more than 200 potential participants identified 13 probands with multiplex APS families and 49 with multiplex AI families. Probands from both groups more frequently had primary rather than secondary APS, and thromboembolic events were the most common clinical manifestation. Catastrophic APS was reported in 1 multiplex APS proband and 4 multiplex AI probands. Proband characteristics are summarized in the Table. In the multiplex APS families, 1 to 3 family members had APS, and the most common clinical manifestation was thromboembolism. In addition, 8 multiplex APS families also had one or more family members who were affected with other autoimmune disorders, most commonly lupus and rheumatoid arthritis. In the multiplex AI families, 1 to 8 family members were affected by a variety of autoimmune disorders, including lupus, Hashimoto's disease, Sjögren's syndrome, rheumatoid arthritis, myasthenia gravis, type I diabetes mellitus, and other diseases. Affected family members most commonly included siblings and/or parents of the probands. Conclusions: In the participants enrolled to date, probands with APS who belonged to multiplex APS or multiplex AI families most commonly had primary APS, and thromboembolic complications were the most common clinical manifestation. Families that were multiplex AI were more common than families that included more than one family member affected with APS, and families that were multiplex APS frequently included members that had other autoimmune disorders. Disclosures: No relevant conflicts of interest to declare.
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Hodgson, Christine, Dylan Decker, Teresia M. O’Connor, Melanie Hingle, and Francine C. Gachupin. "A Qualitative Study on Parenting Practices to Sustain Adolescent Health Behaviors in American Indian Families." International Journal of Environmental Research and Public Health 20, no. 21 (November 3, 2023): 7015. http://dx.doi.org/10.3390/ijerph20217015.
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American Indian (AI) adolescents who practice healthy behaviors of sleep, nutrition, physical activity, and limited screen time can lower their lifetime risk of diet-sensitive disease. Little is known about how AI parenting practices influence the health behaviors of youth. The objective of this qualitative study was to explore how a group of AI parents of youths at risk of disease influenced their youth’s health behaviors after a family intervention. A secondary objective was to understand the role of AI parents in supporting and sustaining health behavior change in their youths following the intervention. Semi-structured in-depth interviews were conducted with AI parents (n = 11) and their young adolescents, 10–15 years old (n = 6). Parents reported facilitators to how they enacted healthy lifestyle behaviors, including family togetherness, routines, youth inclusion in cooking, and motivation due to a health condition in the family. Barriers to enacting healthy behaviors included a lack of time, a lack of access to health resources, negative role modeling, and the pervasiveness of screen media. Three major themes about the role of AI parenting emerged inductively from the interview data: “Parenting in nontraditional families”, “Living in the American grab-and-go culture”, and “Being there and teaching responsibility”. The importance of culture in raising youths was emphasized. These findings inform strategies to promote long-term adherence to behavior changes within the intervention. This study contributes to public health conversations regarding approaches for AI youths and families, who are not well represented in previous health behavior research.
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Cassimatis, Nicholas, Geoffrey R. O'Malley, Patrick Janezcko, David Adams, Rohit Prem Kumar, Nitesh Vijay Patel, Patrick Roth, and Scott A. Meyer. "786 An Analysis of Artificial Intelligence Responses to Common Patient and Family Questions in Cranial Neurosurgery." Neurosurgery 70, Supplement_1 (April 2024): 168. http://dx.doi.org/10.1227/neu.0000000000002809_786.
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INTRODUCTION: In recent decades, the internet has revolutionized how patients receive and navigate medical information. The development of artificial intelligence (AI) may provide patients and their families with the next landmark development in information transfer. METHODS: ChatGPT was asked 3 questions (pertaining to risks & benefits, length of operation, and length of recovery) about each of these 3 surgeries: transphenoidal resection of pituitary adenoma, deep brain stimulation for Parkinson’s tremor, and hemicraniectomy for a subdural hematoma. Neurosurgeons were asked to appraise the quality of AI responses from 1 (low) to 5 (high), 3 being a threshold that they would be satisfied with a patient reading. The reviewing neurosurgeons were unaware that responses were AI generated, to limit potential bias. To gauge patient accessibility, responses were also graded using readability tools. RESULTS: Quality ratings were collected from 5 neurosurgeons on 3 AI responses for each of the 3 questions, totaling 45 quality ratings. 44 of 45 ratings (97.8%) indicated that the AI generated response was of a high enough quality to show to patients (quality rating > or = to 3). 14 of 45 ratings (31.1%) indicated that AI generated responses were 5 out of 5 quality. AI response readability averaged a Flesch-Kincaid Grade Level of 15.12, and a reach of 46.9% of the English-reading population. CONCLUSIONS: While readability was not optimal, our trials produced physician satisfaction scores which were high enough to warrant further investigation. Furthermore, the readability scores were comparable to many other patient resources. As artificial intelligence grows in technological sophistication, its utilization will no-doubt continue to increase among patients. It will be the duty of medical professionals to optimize this resource for patient use, and increase access to quality patient and family healthcare information.
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Khoo, E. T., and A. D. Cheok. "Age Invaders: Inter-generational Mixed Reality Family Game." International Journal of Virtual Reality 5, no. 2 (January 1, 2006): 45–50. http://dx.doi.org/10.20870/ijvr.2006.5.2.2688.
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This paper introduces Age Invaders (AI), a novel interactive inter-generation social-physical game which allows the elderly to play harmoniously together with children in physical space while parents can participate in the game play in real time remotely through the internet
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Coles, Jenny, Linzi Smeaton, Fiona McKendrick, Kevin Hawkes, and Lauren Mawn. "Using appreciative inquiry to support the development of a family clinic in a paediatric psychology setting." Clinical Psychology Forum 1, no. 372 (February 14, 2024): 54–59. http://dx.doi.org/10.53841/bpscpf.2024.1.372.54.
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PHOTO CREDIT: Anima visualThis paper discusses the development of a systemic family clinic in a Paediatric Health Psychology setting. Appreciative Inquiry (AI) was used in the development of the clinic and to consider future plans. Reviewing the development of the clinic a year on from the AI session we identified the benefits of embedding systemic family work and training strategy within the department. This was enabled by a willingness to lean into uncertainty, clear boundaries, structure and protected time. AI also helped us to look towards growth in the future. We reflect on the process and offer some key learning points that we hope will inspire others in their own service development.
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Asieieva, Yuliia, Hanna Morvaniuk, Denis Voznyi, Alina Chetveryk-Burchak, and Victoriia Storozh. "Efficiency of the complex program of psychocorrection of cyber-addictions among middle and late adolescents." Revista Amazonia Investiga 11, no. 56 (October 18, 2022): 38–47. http://dx.doi.org/10.34069/ai/2022.56.08.4.
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In this work, the authors conducts a statistical analysis of the problem, examines the experience of various states and possible measures of psychocorrection of cyber-addictions among the younger generation. It is also worth noting that in order for this work to be effective, it must relate to all spheres of an individual's life: family, educational environment, social life. Having considered the world experience in working with cyber-addictions, the authors proposed and conducted his own comprehensive program of psychocorrection of cyber-addictions, which is aimed at reducing the degree of addiction and includes the following areas of work: individual, group, family psychocorrectional and psycho-educative work. According to the results of the work carried out, it was found that the developed program gave positive results since the 3rd degree of addiction was reduced in all groups and types of cyber-addictions, and after psychocorrection, people appear who have ceased to show pathological signs of addiction (for groups it is from 2% to 17%). It should be noted that significant results in reducing the degree of addiction were achieved in selfitis, cyber-communicative and game addictions.
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Lakshmi, DR D. Vijaya. "AI GUIDANCE FOR BLIND PEOPLE." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (April 23, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem31538.
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Visually challenged people (VCP) struggle in their everyday life and have major difficulties in participating in cultural, tourist, family, and other types of outdoor activities especially those which are in unfamiliar surroundings. In modern days, synthetic intelligence is imparting a wide variety of answers for any hassle. This paper represents an guidance machine for blind . It is a wearable device which guides people efficiently and safely. This device is speedy and accurate for object detection by means of the digital camera and sensor for obstacle detection.An impaired person can wear this system and command this system for finding the things using voice command. This system recognizes these commands and gives a desirable output in voice. Also while travelling, it detects objects and obstacles and notifies about it to the user using voice output. Key Words: Obstacle detection, Text recognition, wearable device.
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Farhat, Syeda Lamima, Likhitha Tubati, Metrine Osiemo, and Rushit Dave. "AI-Based Home Security System." International Journal of Computer Science and Information Technology 16, no. 2 (April 28, 2024): 37–42. http://dx.doi.org/10.5121/ijcsit.2024.16204.
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Home security is of paramount importance in today's world, where we rely more on technology, home security is crucial. Using technology to make homes safer and easier to control from anywhere is important. Home security is important for the occupant’s safety. In this paper, we came up with a low cost, AI based model home security system. The system has a user-friendly interface, allowing users to start model training and face detection with simple keyboard commands. Our goal is to introduce an innovative home security system using facial recognition technology. Unlike traditional systems, this system trains and saves images of friends and family members. The system scans this folder to recognize familiar faces and provides real-time monitoring. If an unfamiliar face is detected, it promptly sends an email alert, ensuring a proactive response to potential security threats.
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Farré, Adriana, Judit Tirado, Nino Spataro, María Alías-Ferri, Marta Torrens, and Francina Fonseca. "Alcohol Induced Depression: Clinical, Biological and Genetic Features." Journal of Clinical Medicine 9, no. 8 (August 18, 2020): 2668. http://dx.doi.org/10.3390/jcm9082668.
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Background: In clinical practice, there is the need to have clinical and biological markers to identify induced depression. The objective was to investigate clinical, biological and genetic differences between Primary Major Depression (Primary MD) and Alcohol Induced MD (AI-MD). Methods: Patients, of both genders, were recruited from psychiatric hospitalisation units. The PRISM instrument was used to establish the diagnoses. Data on socio-demographic/family history, clinical scales for depression, anxiety, personality and stressful life events were recorded. A blood test was performed analysing biochemical parameters and a Genome Wide Association Study (GWAS) to identify genetic markers associated with AI-MD. Results: A total of 80 patients were included (47 Primary MD and 33 AI-MD). The AI-MD group presented more medical comorbidities and less family history of depression. There were differences in traumatic life events, with higher scores in the AI-MD (14.21 ± 11.35 vs. 9.30 ± 7.38; p = 0.021). DSM-5 criteria were different between groups with higher prevalence of weight changes and less anhedonia, difficulties in concentration and suicidal thoughts in the AI-MD. None of the genetic variants reached significance beyond multiple testing thresholds; however, some suggestive variants were observed. Conclusions: This study has found clinical and biological features that may help physicians to identify AI-MD and improve its therapeutic approach.
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Bonnet, Anne-Laure, Kevin Sceosole, Arabelle Vanderzwalm, Caroline Silve, Anne-Margaux Collignon, and Celine Gaucher. "“Isolated” Amelogenesis Imperfecta Associated with DLX3 Mutation: A Clinical Case." Case Reports in Genetics 2020 (August 4, 2020): 1–6. http://dx.doi.org/10.1155/2020/8217919.
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Amelogenesis imperfecta (AI) represents rare tooth anomalies that affect the quality and/or quantity of the enamel. Clinical phenotypes display a wide spectrum, ranging from mild color changes to severe structural alterations with daily pain. However, all affect the quality of life because of mechanical, psychological, esthetic, and/or social repercussions. Several gene mutations have been linked to AI as a nonsyndromic (isolated) phenotype or a wider syndrome. This case report aimed to present a family with dental structure anomalies followed up in the dental department of the Louis Mourier Hospital (APHP, France) for their extremely poor dental condition. The proband and his mother were clinically diagnosed with AI, and genetic analysis revealed an already described variant in DLX3. Then, the family was further examined for tricho-dento-osseous syndrome. This report illustrates the challenge of diagnosing dental structure anomalies, specifically AI, in adults and highlights the need for an accurate and accessible molecular diagnosis for those anomalies to discriminate between isolated and syndromic pathologies.
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Katlishin, Oleg Ilyasovich, and Anatoly Ivanovich Panyshev. "Integrated economic analysis and evaluation of competitiveness of wheat flour of top variety at Perm market." Revista Amazonia Investiga 9, no. 28 (April 21, 2020): 427–38. http://dx.doi.org/10.34069/ai/2020.28.04.48.
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Flour is one of the most significant essential commodities, and quality of the final product produced by food enterprises in baking, pasta, confectionery, and catering and modern trade depends on its properties. The aim of the study is comprehensive economic analysis and assessment of competitiveness of premium wheat flour sold by New Family LLC in Perm. Achieving this goal the following tasks were carried out: consideration of theoretical foundations of wheat flour competitiveness, conducting primary and secondary marketing research on the wheat flour market (including sociological survey); quality analysis of premium wheat flour; assessment of competitiveness using economic analysis. The object of research in this article are samples of premium wheat flour of various brands sold in New Family LLC Perm, and directly competing with each other for the final consumer. Within the framework of the article, comprehensive economic analysis was as follows: to conduct an examination of flour quality (determination of organoleptic indicators); assessing quality indicators “quality / price”of flour samples; application of Yudanov method; using the method of integrated competitiveness assessment and Buhl method competitiveness assessment (with the use of point scales). The study showed that the issue of considering competitiveness of products is very important in domestic market. The results of competitiveness assessment indicate that the most competitive premium grade wheat flour is “Tsar”.
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Kristensen, Vessela, and Dag Undlien. "Artificial intelligence (AI) tools in genetics." Open Access Government 42, no. 1 (April 15, 2024): 134–35. http://dx.doi.org/10.56367/oag-042-11133.
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Artificial intelligence (AI) tools in genetics Vessela Kristensen and Dag Undlien uncover AI tools in genetics, from variant recognition to clinical implementation. Most people are curious about how their bodies work (and the ways they occasionally do not). This curiosity extends towards how our bodies are built, their functions, and what maintains life and health. Most people think that science is remote from the lives they lead, and the decisions that they make day by day, but this is far from the truth. Our understanding of genetics may affect our choices at our doctor’s office about our healthcare and reproductive decisions, including family planning.
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Aditia Putra Hamid, Rosyid Ridlo Al-Hakim, Yanuar Zulardiansyah Arief, Brainvendra Widi Dionova, and Mahmmoud Hussein A. Alrahman. "Recent Updates on Intelligent System for Talent Management: Does That Become a Helpful System?" SATESI: Jurnal Sains Teknologi dan Sistem Informasi 3, no. 1 (April 30, 2023): 38–44. http://dx.doi.org/10.54259/satesi.v3i1.1590.
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The use of information technology in human management today has increased, along with the implementation of intelligent systems that generally use artificial intelligence (AI) in their application. One of the areas of human management that has adopted AI is talent management (TM). TM is crucial for companies to identify, manage, determine, assess, and recommend talent (in this case, it can be employees) for their company's sustainability. The application of family planning in TM is not as extensive as thought, but this study tries to review the latest research that adapts AI to a very complex TM process. The results of this review are at least 11 articles involved in the use of family planning. These 11 articles certainly discuss one or more processes in TM, such as talent identification, talent matching or mapping, and talent recommendations. Some critical studies in the future are that in practice, AI needs to be widely used, especially to handle large-scale data management (data intelligence), in addition to intelligent system methods, and AI can be used for all processes in TM, proven to be accurate, efficient, safe, and fast in practice.
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Dichek, Nataliia, and Oksana Kravchenko. "Social and psychological assistance to children under martial law." Revista Amazonia Investiga 13, no. 74 (February 29, 2024): 361–72. http://dx.doi.org/10.34069/ai/2024.74.02.30.
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The purpose of the study is to identify the main psycho-emotional states and factors affecting the physical and mental well-being of schoolchildren, including during distance learning and in relationships with family members, as well as to develop areas of psychosocial assistance to children under martial law. To achieve the research purpose, an appropriate questionnaire was developed with multiple-choice questions about: dominant emotions and feelings, attitudes towards distance learning, reactions to external stimuli, the impact of martial law on the comfort of life, relationships with peers and parents, etc. A survey was conducted among 1303 schoolchildren aged 6–17, including 515 boys and 788 girls, 11 of whom live outside Ukraine. The survey found that the physical and psycho-emotional well-being of Ukrainian schoolchildren was characterised by sleep disturbances, agitation, fear, rapid mood changes, severe fatigue, sadness, longing, indignation, irritation, anger, increased conflicts (especially with parents), etc. An additional factor in the increased level of anxiety under martial law was distance learning, which makes it difficult for students to concentrate due to the difficulty of communication, shifted daily routines, worries about family and friends, changes in responsibilities and other distractions. The main directions of psycho-correctional work and recommendations for the use of psychosocial assistance technologies have been developed, which will allow children to assess their current life situation, identify their strengths (resources), which will ensure their self-healing and increase their resilience.
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Amann, Julia, Effy Vayena, Kelly E. Ormond, Dietmar Frey, Vince I. Madai, and Alessandro Blasimme. "Expectations and attitudes towards medical artificial intelligence: A qualitative study in the field of stroke." PLOS ONE 18, no. 1 (January 11, 2023): e0279088. http://dx.doi.org/10.1371/journal.pone.0279088.
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Introduction Artificial intelligence (AI) has the potential to transform clinical decision-making as we know it. Powered by sophisticated machine learning algorithms, clinical decision support systems (CDSS) can generate unprecedented amounts of predictive information about individuals’ health. Yet, despite the potential of these systems to promote proactive decision-making and improve health outcomes, their utility and impact remain poorly understood due to their still rare application in clinical practice. Taking the example of AI-powered CDSS in stroke medicine as a case in point, this paper provides a nuanced account of stroke survivors’, family members’, and healthcare professionals’ expectations and attitudes towards medical AI. Methods We followed a qualitative research design informed by the sociology of expectations, which recognizes the generative role of individuals’ expectations in shaping scientific and technological change. Semi-structured interviews were conducted with stroke survivors, family members, and healthcare professionals specialized in stroke based in Germany and Switzerland. Data was analyzed using a combination of inductive and deductive thematic analysis. Results Based on the participants’ deliberations, we identified four presumed roles that medical AI could play in stroke medicine, including an administrative, assistive, advisory, and autonomous role AI. While most participants held positive attitudes towards medical AI and its potential to increase accuracy, speed, and efficiency in medical decision making, they also cautioned that it is not a stand-alone solution and may even lead to new problems. Participants particularly emphasized the importance of relational aspects and raised questions regarding the impact of AI on roles and responsibilities and patients’ rights to information and decision-making. These findings shed light on the potential impact of medical AI on professional identities, role perceptions, and the doctor-patient relationship. Conclusion Our findings highlight the need for a more differentiated approach to identifying and tackling pertinent ethical and legal issues in the context of medical AI. We advocate for stakeholder and public involvement in the development of AI and AI governance to ensure that medical AI offers solutions to the most pressing challenges patients and clinicians face in clinical care.
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García-Cervantes, Patricia Catalina, María Elena Báez-Flores, Francisco Delgado-Vargas, Martha Ponce-Macotela, Yukifumi Nawa, María del-Carmen De-la-Cruz-Otero, Mario N. Martínez-Gordillo, and Sylvia Páz Díaz-Camacho. "Giardia duodenalis genotypes among schoolchildren and their families and pets in urban and rural areas of Sinaloa, Mexico." Journal of Infection in Developing Countries 11, no. 02 (February 28, 2017): 180–87. http://dx.doi.org/10.3855/jidc.8223.
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Introduction: Giardiasis is a human health concern worldwide, especially among schoolchildren. Giardia duodenalis genotypes A and B are infective to humans, but their zoonotic potential remains controversial. In Mexico, the most prevalent genotype is A, but B was also detected in southeastern Mexico. In Sinaloa state, northwestern Mexico, giardiasis is highly prevalent, but Giardia genotypes have been poorly studied. Methodology: This study aimed to investigate the distribution and clinical-epidemiological correlation of G. duodenalis genotypes in schoolchildren and their families and pets in urban and rural areas of Sinaloa state, Mexico. Results: Among 395 schoolchildren (274 urban, 121 rural), 76 (49 urban, 27 rural) were infected with G. duodenalis. In total, 22 families (15 urban, 7 rural) of infected schoolchildren, consisting of 60 family members (41 urban, 19 rural) and 21 pet dogs (15 urban, 6 rural) were examined; 10 family members (5 urban, 5 rural) and 5 pet dogs (3 urban, 2 rural) of 10 families (6 urban, 4 rural) were infected. After PCR-RFLP analyses of vsp417 and gdh genes, genotype prevalence among infected urban schoolchildren was 79.5% AI, 12.8% AII, and 7.7% mixed AI+B. However, only AI genotype was found in family members and pets. In the rural area, only the AI genotype was detected. Genotypes were not correlated with clinical manifestations. Conclusions: This paper shows the presence of B genotype in northwestern Mexico for the first time. Detection of AI genotype in dogs suggested the possible role of dogs as the reservoir for human giardiasis in Sinaloa, Mexico.