Academic literature on the topic 'Facial comparison practitioners'

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Journal articles on the topic "Facial comparison practitioners"

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McNeill, A., M. Suchomska, and A. Strathie. "Expert facial comparison evidence: Science versus pseudo science." Psychology and Law 5, no. 4 (2015): 127–40. http://dx.doi.org/10.17759/psylaw.2015050411.

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Confirming the identity of the accused is a critical component of many criminal trials. However, recent evidence suggests this process is highly error prone and leads to unacceptably high rates of wrongful conviction (Innocence Project, 2015). When photographic identification evidence is ambiguous, facial mapping practitioners may be called upon to make comparisons between images of the culprit and the accused. This practice assumes that the techniques employed are reliable and can be used to assist the court in making identity confirmation decisions. However, previous experimental work in this area has established that many of these techniques are unreliable (Kleinberg, Vanezis & Burton, 2007; Strathie, McNeill & White, 2012). We extend these findings by examining another facial mapping technique that uses gridlines, drawn between face-pairs, as a potential face matching aid (Oxlee, 2007). Results show that a simple side-by-side presentation of face-pairs without gridlines produces most accurate responding. Moreover, the application of the grideline technique increases the likelihood that two different face pairs will judged to be the same. These findings suggest that continuing to admit facial mapping evidence in court is likely to increase, rather than decrease, the incidence of wrongful conviction.
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Brkanović, Sandra, Marina Lapter Varga, and Senka Meštrović. "Knowledge and Attitude towards Orthodontic Treatment among Non-Orthodontic Specialists: An Online Survey in Croatia." Dentistry Journal 10, no. 1 (January 3, 2022): 5. http://dx.doi.org/10.3390/dj10010005.

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Objectives: The aim of this study was to examine the knowledge and attitudes towards orthodontic treatment among non-orthodontic specialists. Methods: A web-based survey was formulated for non-orthodontic dental specialists to respond to statements regarding an orthodontic treatment. It contained 20 multiple-choice questions with three or more possible answers. Two hundred and fifty questionnaires were sent via email, with explanatory letters, to randomly selected non-orthodontic Croatian dental specialists. Data were assessed using IBAM SPSS 23.0. and p < 0.01 was considered significant. Results: The results indicate that the majority of respondents were well informed about principles and practices in orthodontics. All the respondents (100%) were aware that malocclusions can affect a patient’s facial aesthetic and masticatory function. The results also showed statistically significant differences in answers about contraindications for orthodontics therapy among different non-orthodontic specialists (p < 0.01). Private health practitioners were better informed about the ideal time for the first orthodontic appointment (74.2%) and that implants and periodontal problems are not contraindications for orthodontic treatment (over 70%), in comparison with public health practitioners. Conclusion: Non-orthodontic specialists in this sample exhibit encouraging awareness and knowledge of the principals and practices of orthodontic treatment. Additional improving of practitioners’ knowledge and awareness can help patients with malocclusion to decide upon orthodontic treatment at earlier stages and avoid later complications in the future.
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Tatapudi, Ramesh, Swathi Myla, Upendra Gurugubelli, Jyothirmai Koneru, Meenakshi K, Sravani Bandaru, and Reshmi Thumula. "Comparison between the commonly used radiographic techniques for intra oral imaging in dentistry-A questionnaire study." International Journal of Dental Research 5, no. 2 (August 26, 2017): 157. http://dx.doi.org/10.14419/ijdr.v5i2.8103.

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Aim:-To compare the opinion regarding usage of bisecting-angle technique and the paralleling techniques among BDS students, post graduate students, private practitioners in and around Bhimavaram town for intra oral imaging in dentistry. Materials and methods: A detailed questionnaire composed of questions regarding technical parameters, exposure parameters, operator and patient comfort and image accuracy in diagnosis. Details of the study were explained to the participants preferred option to be marked according to the question mentioned in the questionnaire. Total 500 individuals participated in the present study, with 100 individuals in each group. Data was collected and entered in Microsoft Excel (2010) and statistically analysed using SPSS 20. Chi-square test was used to evaluate differences in the responses with P-value ≤ 0.05 were considered significant. Results: Results showed that in technical parameters most of the people opted for bisecting angle technique with p value≤ 0.05 and found as significant. In aspect of exposure parameters, results are in favour of paralleling technique and p value is ≤ 0.05. In aspect of the operator and patient comfort there is an equal opinion most of them opted for bisecting angle technique and paralleling technique p value is significant. In aspect of image accuracy p value is significant for paralleling technique. Conclusion: Great work should have to be done to alleviate the quality of radiographs and the understanding and perspective of dental graduates regarding dental and maxillo-facial radiology. The results of present study revealed though there is knowledge about the techniques, but lack of application decreases their ability to get more accurate diagnostic radiograph. Paralleling technique being the most accurate in image accuracy should be emphasized to practice and needed to be modified in conditions where it is not feasible to deal with.
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Dirin, Amir, Nicolas Delbiaggio, and Janne Kauttonen. "Comparisons of Facial Recognition Algorithms Through a Case Study Application." International Journal of Interactive Mobile Technologies (iJIM) 14, no. 14 (August 28, 2020): 121. http://dx.doi.org/10.3991/ijim.v14i14.14997.

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<p class="affiliations"><strong>Abstract— </strong>Computer visions and their applications have become important in contemporary life. Hence, researches on facial and object recognition have become increasingly important both from academicians and practitioners. Smart gadgets such as smartphones are nowadays capable of high processing power, memory capacity, along with high resolutions camera. Furthermore, the connectivity bandwidth and the speed of the interaction have significantly impacted the popularity of mobile object recognition applications. These developments in addition to computer vision’s algorithms advancement have transferred object’s recognitions from desktop environments to the mobile world. The aim of this paper to reveal the efficiency and accuracy of the existing open-source facial recognition algorithms in real-life settings. We use the following popular open-source algorithms for efficiency evaluations: Eigenfaces, Fisherfaces, Local Binary Pattern Histogram, the deep convolutional neural network algorithm, and OpenFace. The evaluations of the test cases indicate that among the compared facial recognition algorithms the OpenFace algorithm has the highest accuracy to identify faces. The findings of this study help the practitioner on their decision of the algorithm selections and the academician on how to improve the accuracy of the current algorithms even further.</p>
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Carrillo-Larco, Rodrigo M., Carlos Altez-Fernandez, Sabrina Ravaglia, and Joaquín A. Vizcarra. "COVID-19 and Guillain-Barre Syndrome: a systematic review of case reports." Wellcome Open Research 5 (September 21, 2020): 107. http://dx.doi.org/10.12688/wellcomeopenres.15987.2.

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Background: Guillain-Barre Syndrome (GBS) is a neurological autoimmune disease that can lead to respiratory failure and death. Whether COVID-19 patients are at high risk of GBS is unknown. Through a systematic review of case reports, we aimed to summarize the main features of patients with GBS and COVID-19. Methods: Without any restrictions, we searched MEDLINE, Embase, Global Health, Scopus, Web of Science and MedXriv (April 23 rd, 2020). Two reviewers screened and studied titles, abstracts and reports. We extracted information to characterize sociodemographic variables, clinical presentation, laboratory results, treatments and outcomes. Results: Eight reports (n=12 patients) of GBS and COVID-19 were identified; one was a Miller Fisher case. The age ranged between 23 and 77 years, and there were more men (9/102). GBS symptoms started between 5 and 24 days after those of COVID-19. The protein levels in cerebrospinal fluid samples ranged between 40 and 193 mg/dl. None of the cerebrospinal fluid samples tested positive for COVID-19. Six patients debuted with ascendant weakness and three with facial weakness. Five patients had favourable evolution, four remained with relevant symptoms or required critical care and one died; the Miller Fisher case had successful resolution. Conclusions: GBS is emerging as a disease that may appear in COVID-19 patients. Although limited, preliminary evidence appears to suggest that GBS occurs after COVID-19 onset. Practitioners and investigators should have GBS in mind as they look after COVID-19 patients and conduct research on novel aspects of COVID-19. Comparison with GBS patients in the context of another viral outbreak (Zika), revealed similarities and differences that deserves further scrutiny and epidemiological studies.
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Carrillo-Larco, Rodrigo M., Carlos Altez-Fernandez, Sabrina Ravaglia, and Joaquín A. Vizcarra. "COVID-19 and Guillain-Barre Syndrome: a systematic review of case reports." Wellcome Open Research 5 (May 28, 2020): 107. http://dx.doi.org/10.12688/wellcomeopenres.15987.1.

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Background: Guillain-Barre Syndrome (GBS) is a neurological autoimmune disease that can lead to respiratory failure and death. Whether COVID-19 patients are at high risk of GBS is unknown. Through a systematic review of case reports, we aimed to summarize the main features of patients with GBS and COVID-19. Methods: Without any restrictions, we searched MEDLINE, Embase, Global Health, Scopus, Web of Science and MedXriv (April 23rd, 2020). Two reviewers screened and studied titles, abstracts and reports. We extracted information to characterize sociodemographic variables, clinical presentation, laboratory results, treatments and outcomes. Results: Eight reports (n=12 patients) of GBS and COVID-19 were identified; one was a Miller Fisher case. Overall, the median age was 62.5 (interquartile range (IQR)=54.5-70.5) years, and there were more men (9/102). GBS symptoms started between 5 and 24 days after those of COVID-19. The median protein levels in cerebrospinal fluid samples was 101.5 mg/dl (IQR=51-145). None of the cerebrospinal fluid samples tested positive for COVID-19. Six patients debuted with ascendant weakness and three with facial weakness. Five patients had favourable evolution, four remained with relevant symptoms or required critical care and one died; the Miller Fisher case had successful resolution. Conclusions: GBS is emerging as a disease that may appear in COVID-19 patients. Although limited, preliminary evidence appears to suggest that GBS occurs after COVID-19 onset. Practitioners and investigators should have GBS in mind as they look after COVID-19 patients and conduct research on novel aspects of COVID-19. Comparison with GBS patients in the context of another viral outbreak (Zika), revealed similarities and differences that deserves further scrutiny and epidemiological studies.
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Okam, Maureen, and Elyse Mandell. "A Retrospective Comparison of Adverse Reaction Rates with the Use of Three Intravenous Iron Formulations: A Single Center Experience." Blood 116, no. 21 (November 19, 2010): 1537. http://dx.doi.org/10.1182/blood.v116.21.1537.1537.

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Abstract Abstract 1537 Background: Iron deficiency anemia is the most common hematology problem encountered in clinical practice. Oral iron is first line therapy, however successful treatment of iron deficiency often involves the use of parenteral formulations of iron. Before the 1990s, the only available and approved parenteral iron formulation was iron dextran which had a rare but definite association with fatal anaphylactic reactions and was all but abandoned by many practitioners. Since the late 1990s the US Food and Drug Administration has approved 3 new and ‘safer’ iron formulations: iron sucrose, ferric gluconate and most recently ferumoxytol. Besides ferumoxytol, the other formulations are roughly equivalent in cost. Aim: To compare the adverse reaction rates associated with 3 formulations of parental iron (iron dextran, iron sucrose and ferric gluconate) currently in use at our center. Methods: We reviewed the medical records, nursing documentation and pharmacy records of patients who were treated with parenteral iron at our center over a 2 year period (April 2008 – March 2010). A likelihood ratio chi-square test for comparison was calculated using SAS 9.2 statistical software. Results: Between April 2008 and March 2010, 510 patients received intravenous iron at our institution and all 510 patients’ charts were reviewed. 59% (302) of patients received ferric gluconate; 23% (116) received iron dextran and 18% (92) received iron sucrose. The overall reaction rate with iron infusions was 2%; 1.3% with ferric gluconate, 1.7% with iron dextran and 4.4% with iron sucrose. Reactions included facial flushing, chest tightness/pain, circumoral paresthesia, arm redness and swelling (in the absence of infusion infiltration) and lightheadedness. No respiratory compromise or anaphylactic reactions occurred and there were no deaths. Using the likelihood ratio chi-square test, these rates were not statistically different (p = 0.25). Discussion: Based on this single center experience, intravenous iron therapy is safe; iron dextran being just as safe as ferric gluconate and iron sucrose. Though iron sucrose was the least frequently used formulation and had a proportionately higher rate of adverse reactions, the difference was not statistically significant. The use of iron dextran and iron sucrose allows for fewer clinic visits, is more convenient for the patient and results in lower total costs of therapy than ferric gluconate and we encourage their use for this reason. On the other hand, ferric gluconate was particularly well tolerated. Too few events occurred in this analysis to show a difference in the severity of reactions between the therapies. A larger study may show a cluster of more severe reactions to be associated with a specific iron formulation and would further influence decision-making of which iron formulations to use. In the immediate future, we will use our collated data to compare the effectiveness (success of iron repletion achieved) with each parenteral iron formulation to serve as an additional factor in the informed choice of treatment with a parenteral iron formulation. Disclosures: No relevant conflicts of interest to declare.
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Bridgman, John B., Andrew L. Newsom, David J. Chrisp, Abi E. Estelle, and Mark Saunders. "Comparison of an Air-Fed Mask System with Hospital-Issued Personal Protection Equipments for Dental Aerosol Protection During the COVID-19 Pandemic." Open Dentistry Journal 15, no. 1 (December 31, 2021): 742–47. http://dx.doi.org/10.2174/1874210602115010742.

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Aim: A pilot study was conducted with the aim of developing a system to protect the eyes, nose, and mouth from the aerosol generated from a high-speed dental handpiece during the COVID-19 pandemic. Background: The SARS-CoV-2 virus is known to be present in the saliva of an infected individual during the contagious viral shedding phase of the disease. The use of rotary dental instruments places oral health practitioners at risk of contracting COVID-19 from infected individuals. In particular, it is very difficult to protect the mucous membranes of the face against the extremely fine aerosol produced from a high-speed dental handpiece. Objectives: This study aimed to develop and test a novel PPE system for use during the COVID-19 pandemic. An air-fed spray-painting mask was used under a plastic hood to protect against the aerosol from a high-speed dental handpiece. This was found to be superior compared to hospital-issued N-95 masks and eye protection in our test model. Methods: Subjects donned various forms of PPE whilst using a high-speed dental handpiece in a confined cubicle. The efficacy of each form of PPE was evaluated by adding fluorescein to the water coolant supply line of a high-speed dental handpiece before checking for facial contamination with an ophthalmology slit lamp. Results: Under our test conditions, the N-95 mask did not prevent nasal and mouth contaminations, but the combination of an air-fed mask with a sealed hood prevented these contaminations. Although goggles worn tightly did prevent contamination, the air-fed mask system was far more comfortable and did not fog up. Discussion: Under the rigorous test conditions of our model, we found hospital-issued PPE ineffective. We also found the single strategy of using positive airflow into a face mask ineffective, even with extremely high levels of airflow. Complete protection was only achieved reliably by the combination of physically sealing off the face from the surrounding airspace and using the air-fed system to provide an external source of air to breathe. We effectively made the clinical equivalent of a dive bell helmet. The air-fed mask is supplied by a standard dental air compressor and is simple to install for someone familiar with the technical aspects of compressors. The compressor does not rely on a filter and proves effective with cheap and easily accessible disposable items. Conclusion: Under rigorous testing conditions, the developed air-fed mask system with a sealed hood on low flow performed better than hospital-issued PPE against high-speed dental aerosol protection. The developed system protects the operators from the air of the room contaminated with aerosol and brings in safe air from the outside for them to breathe.
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Michalski, Dana, Rebecca Heyer, and Carolyn Semmler. "The performance of practitioners conducting facial comparisons on images of children across age." PLOS ONE 14, no. 11 (November 19, 2019): e0225298. http://dx.doi.org/10.1371/journal.pone.0225298.

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Hoover, Rebecca M., and John Erramouspe. "Role of Topical Oxymetazoline for Management of Erythematotelangiectatic Rosacea." Annals of Pharmacotherapy 52, no. 3 (November 2, 2017): 263–67. http://dx.doi.org/10.1177/1060028017740139.

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Objective: To review and summarize topical oxymetazoline’s pharmacology, pharmacokinetics, efficacy, safety, cost, and place in therapy for persistent redness associated with erythematotelangiectatic rosacea. Data Sources: Literature searches of MEDLINE (1975 to September 2017), International Pharmaceutical Abstracts (1975 to September 2017), and Cochrane Database (publications through September 2017) using the terms rosacea, persistent redness, α -agonist, and oxymetazoline. Study Selection and Data Extraction: Results were limited to studies of human subjects, English-language publications, and topical use of oxymetazoline. Relevant materials from government sources, industry, and reviews were also included. Data Synthesis: Data support the efficacy of oxymetazoline for persistent facial redness. Little study beyond clinical trials cited in the drug approval process has been conducted. Current data suggest that oxymetazoline is similar in safety and efficacy to brimonidine. Head-to-head comparisons of topical α-agonists for erythema caused by rosacea are needed. Conclusion: The topical α-agonist, oxymetazoline, is safe and effective for reducing persistent facial redness associated with erythematotelangiectatic subtype of rosacea. Health care practitioners selecting among treatments should consider not only the subtype of rosacea but also individual patient response, preference, and cost.
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Dissertations / Theses on the topic "Facial comparison practitioners"

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Michalski, Dana Jaclyn. "The impact of age-related variables on facial comparisons with images of children: algorithm and practitioner performance." Thesis, 2018. http://hdl.handle.net/2440/111184.

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Determining the identity of children is critical for many national security agencies for example, to aid in the fight against child exploitation, trafficking, and radicalised minors, as well as for passport control and visa issuance purposes. Facial comparison is one method that may be used to achieve this. Facial comparison can be conducted using an algorithm (within a facial recognition system), manually by a facial comparison practitioner, or by a combination of the two. Much of the previous research examining facial comparison performance of both algorithms and practitioners has been conducted using images of adults. Due to the substantial amount of age-related facial growth that occurs in childhood, compared to adulthood, it is likely that performance will be poorer with images of children. The overarching aim of the research therefore, was to determine the impact of age-related variables, namely chronological age and age variation (the age difference between images) on facial comparison performance of algorithms and practitioners with images of children. Study 1 involved consultation with national security agencies and algorithm vendors to identify the key requirements to examine in this thesis. After reviewing the literature to identify research gaps, five empirical studies were conducted. To ensure the studies were as operationally relevant as possible, a large database containing several million controlled images of children and adults was sourced, and five state-of-the-art facial recognition algorithms were employed. In addition, facial comparison practitioners from a government agency participated in the practitioner studies. Study 2A compared algorithm performance with images of children to performance with images of adults. Study 2B compared practitioner performance with images of children to performance with images of adults. Study 3A examined algorithm performance with images of children at each chronological age in childhood (0–17 years) and age variations ranging from 0–10 years apart. Study 3B examined practitioner performance on the same age-related variables examined in Study 3A. Study 4 demonstrated how the data collected in Study 3A and 3B could be used to answer agency specific questions. This thesis concludes with a series of recommendations for both the algorithm and practitioner domains, as well as future research directions designed to improve knowledge and performance regarding facial comparisons with images of children.
Thesis (Ph.D.) -- University of Adelaide, School of Psychology, 2018
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Books on the topic "Facial comparison practitioners"

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Bindemann, Markus, ed. Forensic Face Matching. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198837749.001.0001.

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Person identification at passport control, at borders, in police investigations, and in criminal trials relies critically on the identity verification of people via image-to-image or person-to-image comparison. While this task is known as ‘facial image comparison’ in forensic settings, it has been studied as ‘unfamiliar face matching’ in cognitive science. This book brings together expertise from practitioners, and academics in psychology and law, to draw together what is currently known about these tasks. It explains the problem of identity impostors and how within-person variability and between-person similarity, due to factors such as image quality, lighting direction, and view, affect identification. A framework to develop a cognitive theory of face matching is offered. The face-matching abilities of untrained lay observers, facial reviewers, facial examiners, and super-recognizers are analysed and contrasted. Individual differences between observers, learning and training for face recognition and face matching, and personnel selection are reviewed. The admissibility criteria of evidence from face matching in legal settings are considered, focusing on aspects such as the requirement of relevance, the prohibition on evidence of opinion, and reliability. Key concepts relevant to automatic face recognition algorithms at airports and in police investigations are explained, such as deep convolutional neural networks, biometrics, and human–computer interaction. Finally, new security threats in the form of hyper-realistic mask disguises are considered, including the impact these have on person identification in applied and laboratory settings.
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Redding, Gordon, Antony Drew, and Stephen Crump, eds. The Oxford Handbook of Higher Education Systems and University Management. Oxford University Press, 2019. http://dx.doi.org/10.1093/oxfordhb/9780198822905.001.0001.

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The world’s systems of higher education (HE) are caught up in the fourth industrial revolution of the twenty-first century. Driven by increased globalization, demographic expansion in demand for education, new information and communications technology, and changing cost structures influencing societal expectations and control, higher education systems across the globe are adapting to the pressures of this new industrial environment. To make sense of the complex changes in the practices and structures of higher education, this Handbook sets out a theoretical framework to explain what higher education systems are, how they may be compared over time, and why comparisons are important in terms of societal progress in an increasingly interconnected world. Drawing on insights from over 40 leading international scholars and practitioners, the chapters examine the main challenges facing institutions of Higher Educations, how they should be managed in changing conditions, and the societal implications of different approaches to change. Structured around the premise that higher education plays a significant role in ensuring that a society achieves the capacity to adjust itself to change, while at the same time remaining cohesive as a social system, this Handbook explores how current internal and external forces disturb this balance, and how institutions of Higher Education could, and might, respond.
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Book chapters on the topic "Facial comparison practitioners"

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Towler, Alice, Richard I. Kemp, and David White. "Can Face Identification Ability Be Trained?" In Forensic Face Matching, 89–114. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198837749.003.0005.

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Is it possible to train face identification ability? To answer this question, we review the literature on professional training for facial image comparison practitioners, and the broader psychology literature on training for prosopagnosia patients and the general population. Our review of these literatures finds very little evidence that training can improve face recognition or face-matching accuracy. However, one group of specialist practitioners—facial examiners—throw this conclusion into question. Facial examiners consistently outperform novices and show qualitative differences in how they perform matching tasks, suggesting they have acquired their expertise via professional training. To account for these findings, we propose that there are two routes to expertise in face identification: The core face recognition system, which cannot be trained, and an alternative feature-based route, which can be trained. We encourage academics and practitioners to work together to identify effective and efficient training methods to teach facial image comparison practitioners to extract maximal identity information from facial features.
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Lathar, Pankaj, K. G. Srinivasa, Abhishek Kumar, and Nabeel Siddiqui. "Comparison Study of Different NoSQL and Cloud Paradigm for Better Data Storage Technology." In Handbook of Research on Cloud and Fog Computing Infrastructures for Data Science, 312–43. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5972-6.ch015.

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Advancements in web-based technology and the proliferation of sensors and mobile devices interacting with the internet have resulted in immense data management requirements. These data management activities include storage, processing, demand of high-performance read-write operations of big data. Large-scale and high-concurrency applications like SNS and search engines have appeared to be facing challenges in using the relational database to store and query dynamic user data. NoSQL and cloud computing has emerged as a paradigm that could meet these requirements. The available diversity of existing NoSQL and cloud computing solutions make it difficult to comprehend the domain and choose an appropriate solution for a specific business task. Therefore, this chapter reviews NoSQL and cloud-system-based solutions with the goal of providing a perspective in the field of data storage technology/algorithms, leveraging guidance to researchers and practitioners to select the best-fit data store, and identifying challenges and opportunities of the paradigm.
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Saxena, Dr Shivangini, Prof Madhvi Singh Bhanwar, Dr Pallavi Pahadiya, and Dr Akhilesh Upadhyay. "Role of Artificial Intelligence in Mental Healthcare." In Applications of Artificial Intelligence and Machine Learning in Healthcare. Technoarete Publishing, 2022. http://dx.doi.org/10.36647/aaimlh/2022.01.b1.ch001.

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Artificial Intelligence (AI) has found a lot of scope in diversified applications including health care systems. Due to the rapid increase in digitization and change in the life style lot of people are facing health care issues like mental diseases. Now the days AI is use to help health care members with its analysis like tumor, cyst, cancer, dermatology issues etc. Looking towards the increasing cases there is a urgent demand of AI in medical specially in mental health care.Many electronic systems are used for the health data analysis so the combination of AI within system can help the patients. Due to the pandemic there is increase in health issues and it has pushed the limits for increase in need of mental health care system using AI. Since AI can provide services like personalize care, remote access, guiding patient, online doctor’s advice etc. AI can be used to identify the individual with high risk also it can provide intervention to treat and prevent mental illness. This work presents the comparison and role of different AI based mental healthcare analysis. As AI using electronic health record, brain imaging and other sensing system can predict the issues in individual and help to monitor patient’s progress and helps the doctor to alter treatment if needed and can help in decrease in suicidal issues. Apart from indentifying the particular issue in patient AI can help the patient to assign the right therapist as per his/her problem. Thus the patient is been given with right therapy at right time. It can also, guide the care taker to give medicine at given time. Natural language processing and Machine learning can be used to find the problem in individual along with its social media presence can be an effective tool to identify once mental health. This information can assist the healthcare practitioner to identify particular problem and guide for treatment. There is also a limitation for collecting data and training the AI based system which is discussed in this work. Along with that the technology limitation and challenges are well described.
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