Thematische Bibliographien / Age / Zeitschriftenartikel

Zeitschriftenartikel zum Thema „Age“

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Autor: Grafiati
Veröffentlicht am 4. Juni 2021
Zuletzt aktualisiert am 29. Juli 2024

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1

Malik, Vipin Kumar. „Aged Persons in Old Age Homes“. Contemporary Social Sciences 27, Nr. 2 (01.04.2018): 156–63. http://dx.doi.org/10.29070/27/57478.

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2

Chaitanya, U., Shahista Tamkeen, Gudipelly Sathwik und Namile Ashrith. „Survey on Comparison of Brain Age with Human Age“. International Journal of Research Publication and Reviews 5, Nr. 5 (07.05.2024): 6767–69. http://dx.doi.org/10.55248/gengpi.5.0524.1289.

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3

Bagrova, N. V., und N. E. Papkova. „Age Crises of the Old Age and How to Survive Them“. Contemporary problems of social work 5, Nr. 3 (30.09.2019): 60–67. http://dx.doi.org/10.17922/2412-5466-2019-5-3-60-67.

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4

HUA, Yuan-Yu, Li-Jun SHI, Hai-Yan LI und Xian-Feng ZHANG. „AGE DISCRIMINATION OF TAKIFUGU OBSCURUS ABE“. Acta Hydrobiologica Sinica 29, Nr. 3 (01.05.2005): 279–84. http://dx.doi.org/10.3724/issn1000-3207-2005-3-279-w.

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5

Steitz, Jean A., und Alicia M. McClary. „Subjective age, age identity, and middle-age adults“. Experimental Aging Research 14, Nr. 2 (Juni 1988): 83–88. http://dx.doi.org/10.1080/03610738808259728.

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6

Bhatt Rushiraj. A, Bhatt Rushiraj A. „Shakespeare in Current Age“. Indian Journal of Applied Research 3, Nr. 3 (01.10.2011): 202. http://dx.doi.org/10.15373/2249555x/mar2013/65.

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7

V. Leanza, V. Leanza, G. Leanza G. Leanza, A. Carbonaro A. Carbonaro, A. D’Agati A. D’Agati, O. VALENTI O. VALENTI, M. C. Teodoro M.C. Teodoro, M. Attard M. Attard und C. Pafumi C. Pafumi. „Small for Gestational Age“. International Journal of Scientific Research 2, Nr. 12 (01.06.2012): 403–5. http://dx.doi.org/10.15373/22778179/dec2013/122.

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8

V, Prathama, und Thippeswamy G. „Age Invariant Face Recognition“. International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (30.06.2019): 971–76. http://dx.doi.org/10.31142/ijtsrd23572.

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9

Pawar, Dr Ashok. „Age Composition In India“. Indian Journal of Applied Research 3, Nr. 10 (01.10.2011): 1–3. http://dx.doi.org/10.15373/2249555x/oct2013/162.

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10

Yarkulovna, Tursunova Hilola. „AN AGE-OLD CRAFT“. American Journal Of Social Sciences And Humanity Research 02, Nr. 09 (01.09.2022): 1–5. http://dx.doi.org/10.37547/ajsshr/volume02issue09-01.

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11

Manimegalai, Samiappan, Jamuna Meenakshi Sundaram und Nandhini Venkatachalam. „AGE CHANGES IN HUMAN SKIN FROM 3 YEARS TO 75 YEARS OF AGE“. International Journal of Anatomy and Research 3, Nr. 4 (30.11.2015): 1578–84. http://dx.doi.org/10.16965/ijar.2015.292.

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12

Port, Cynthia, und Aagje Swinnen. „Age Studies Comes of Age“. Age, Culture, Humanities: An Interdisciplinary Journal 1 (01.01.2015): 1–8. http://dx.doi.org/10.7146/ageculturehumanities.v1i.129496.

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13

Perdikaris, Sophia. „Viking Age Iceland:Viking Age Iceland“. American Anthropologist 105, Nr. 3 (September 2003): 643. http://dx.doi.org/10.1525/aa.2003.105.3.643.1.

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14

Miller, Daniel. „Stone age or plastic age?“ Archaeological Dialogues 14, Nr. 1 (04.04.2007): 23–27. http://dx.doi.org/10.1017/s1380203807002152.

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Ingold starts his critique with a claim to find recent writing and talking about material culture essentially obscure and orientated to fashion. If one reads Ingold's own writing you will find plenty of references to philosophical figures such as Heidegger and to phenomenology. I find such writing often incomprehensible and obscure, and much of its contemporary use pretentious. I would hope a reader would find that my own recent books, on the cell phone (Horst and Miller 2006), materiality (Miller 2005) and the sari (Banerjee and Miller 2003), are written in just as straightforward a style as those of Ingold, which I much admire, both eschewing unnecessary jargon. Clearly we happen to find very different theories more or less congenial and comprehensible. But I do not think the implication of his opening remarks is a fair one, and I would hope that readers would judge this for themselves.
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15

Pirani, Alix. „New Age and Old Age“. Self & Society 22, Nr. 4 (September 1994): 39–40. http://dx.doi.org/10.1080/03060497.1994.11085461.

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16

Bhanot, Shiv Mohan, P. Naik, R. Gopalakrishanan, D. M. Salkar und K. Naqashabandi. „Biological Age vs. Chronological Age“. European Urology 48, Nr. 1 (Juli 2005): 168. http://dx.doi.org/10.1016/j.eururo.2005.03.028.

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17

Student. „AGE“. Pediatrics 83, Nr. 5 (01.05.1989): A30. http://dx.doi.org/10.1542/peds.83.5.a30a.

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18

Neruda, Pablo, und J. T. „Age“. Red Cedar Review 46, Nr. 1 (2011): 33–34. http://dx.doi.org/10.1353/rcr.2011.0055.

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19

Narayani, B. H., und Sangeetha K. „Maternal Age and Pregnancy Outcome“. Indian Journal of Obstetrics and Gynecology 7, Nr. 1 (2019): 5–8. http://dx.doi.org/10.21088/ijog.2321.1636.7119.1.

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20

SAVU, Elena Mădălina. „EDUCATION IN THE DIGITAL AGE“. International Multidisciplinary Scientific Conference on the Dialogue between Sciences & Arts, Religion & Education 4, Nr. 1 (07.12.2020): 225–30. http://dx.doi.org/10.26520/mcdsare.2020.4.225-230.

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The World Health Organization has declared Covid-19 as a pandemic that has posed a contemporary threat to humanity. This pandemic has successfully forced global shutdown of several activities, including educational activities.The COVID-19 pandemic was a forceful reminder that education plays an important role in delivering not just academic learning, but also in supporting physical and emotional well-being. Education and the acquisition of skills are crucial to solving some of the world’s most pressing problems. Education is a basic right that promotes other rights such as health and civic participation. It is key to unlocking the developmental potential of children, communities, and countries. An educated workforce can help lift people out of poverty, reduce premature mortality, strengthen gender equality, and promote civic participation. Children must also learn skills that can be flexible and adaptable in the age of uncertainty and economic change. Workers will need breadth of skills such as literacy and numeracy as well as the ability to think critically and to solve problems collaboratively. In the digital age, citizens must be prepared to respond to the challenges presented by globalization, climate change, health epidemics, and economic uncertainty. The world needs to urgently rethink the way education is done, how it is delivered, and what skills children will need in a digital age to become healthy and productive members of society. Many agree that the delivery of education to marginalized children must be improved. It is evident that online learning is different from emergency remote teaching, online learning will be more sustainable while instructional activities will become more hybrid provided the challenges experienced during this pandemic are well explored and transformed to opportunities. However, there is little consensus on how to do so in a way that best reflects the challenges and opportunities facing young people today and on why education systems have largely failed to adapt to ensure that all children are receiving the support and learning opportunities they need.
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21

Laz, C. „Introduction to “Act Your Age”“. Sociology of Power 31, Nr. 1 (März 2019): 143–45. http://dx.doi.org/10.22394/2074-0492-2019-1-143-145.

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22

KRYVENCHUK, Yurii, und Roman YAKYMIV. „CREATION OF AGE ESTIMATION SYSTEM“. Herald of Khmelnytskyi National University. Technical sciences 309, Nr. 3 (26.05.2022): 66–69. http://dx.doi.org/10.31891/2307-5732-2022-309-3-66-69.

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We are surrounded by different transmitting and processing information devices on a daily basis. Analysis of certain selected characteristics of each person allows humanity to achieve previously unthinkable technological development. In particular, the human face. We can predict a person’s age, determine his mood or identify someone in the crowd using modern algorithms. As a “window to the soul”, the human face provides important information related to its individual traits. With the help of this information, a person can determine such characteristics as ethnic origin, gender, age, and emotions, on the basis of which he is able to take appropriate action, which plays a significant role in non-verbal communication between people. Age estimation is useful in applications where you do not need to specifically identify a person, but we want to know (approximate) their age. With the help of the age approximation system, it is possible to ensure partial digitalization of security control and monitoring systems. With the help of a monitoring camera, the age estiomation system can identify minors and prevent them from entering places where they are not allowed; not to allow minors to buy tobacco products or alcohol from vending machines; to warn the elderly person of possible danger. Age assessment software can also be used in healthcare systems. The authors personally are interested in approximating human age based on images to personalize human-machine interaction. The paper has the description and the results of the creation of an age estimation system, the basis of which is a convolutional neural network. The user can connect with the system through a simple interface which allows you to upload the image for analysis or turn on the camera to get age estimates in real-time. The practical value of this work is the developed high-quality system which is ready for use and implementation in the relevant fields.
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23

Modell, John, und Howard P. Chudacoff. „The Coming of Age of Age“. Reviews in American History 19, Nr. 2 (Juni 1991): 272. http://dx.doi.org/10.2307/2703083.

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24

Doe, John. „Inch by Inch, Age by Age“. Soil Horizons 29, Nr. 2 (1988): 75. http://dx.doi.org/10.2136/sh1988.2.075a.

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25

MASUYAMA, Motosaburo. „PROPER AGE AND AGE AT MENARCHE“. Japanese Journal of Biometrics 11 (1990): 59–67. http://dx.doi.org/10.5691/jjb.11.59.

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26

Lewis, Ivan. „Old age as a golden age“. Working with Older People 10, Nr. 3 (September 2006): 16–18. http://dx.doi.org/10.1108/13663666200600045.

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27

Hu, Zhenzhen, Yonggang Wen, Jianfeng Wang, Meng Wang, Richang Hong und Shuicheng Yan. „Facial Age Estimation With Age Difference“. IEEE Transactions on Image Processing 26, Nr. 7 (Juli 2017): 3087–97. http://dx.doi.org/10.1109/tip.2016.2633868.

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28

Sozou, Peter D., und Robert M. Seymour. „To age or not to age“. Proceedings of the Royal Society of London. Series B: Biological Sciences 271, Nr. 1538 (07.03.2004): 457–63. http://dx.doi.org/10.1098/rspb.2003.2614.

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29

Sargeant, Malcolm. „Mandatory retirement age and age discrimination“. Employee Relations 26, Nr. 2 (April 2004): 151–66. http://dx.doi.org/10.1108/01425450410511061.

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30

Valentinuzzi, Max E. „Old Age, Divine Age, Why Not?“ IEEE Pulse 10, Nr. 4 (Juli 2019): 29–35. http://dx.doi.org/10.1109/mpuls.2019.2922562.

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31

Caputo, Richard K. „Age-Condensed and Age-Gapped Families“. Marriage & Family Review 29, Nr. 1 (November 1999): 77–95. http://dx.doi.org/10.1300/j002v29n01_06.

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32

Bethke, Craig M., und Thomas M. Johnson. „Groundwater Age and Groundwater Age Dating“. Annual Review of Earth and Planetary Sciences 36, Nr. 1 (Mai 2008): 121–52. http://dx.doi.org/10.1146/annurev.earth.36.031207.124210.

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33

Troyansky, David G. „The New Age of Old Age“. Ageing and Society 14, Nr. 3 (September 1994): 429–36. http://dx.doi.org/10.1017/s0144686x00001665.

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34

Jönson, Håkan, und Jan Arne Magnusson. „A new age of old age?“ Journal of Aging Studies 15, Nr. 4 (Dezember 2001): 317–31. http://dx.doi.org/10.1016/s0890-4065(01)00026-3.

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35

de Grey, Aubrey D. N. J. „The coming of age of AGE“. GeroScience 42, Nr. 6 (27.11.2020): 1449–50. http://dx.doi.org/10.1007/s11357-020-00307-9.

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36

Linstone, Harold A. „From information age to molecular age“. Technological Forecasting and Social Change 71, Nr. 1-2 (Januar 2004): 187–96. http://dx.doi.org/10.1016/j.techfore.2003.09.004.

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37

Cuocolo, Alberto, Michele Klain und Mario Petretta. „Coronary vascular age comes of age“. Journal of Nuclear Cardiology 24, Nr. 6 (03.10.2017): 1835–36. http://dx.doi.org/10.1007/s12350-017-1078-6.

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38

Lai, Dehe, Yewang Chen, Xiangyu Luo, Jixiang Du und Tian Wang. „Age estimation with dynamic age range“. Multimedia Tools and Applications 76, Nr. 5 (15.02.2016): 6551–73. http://dx.doi.org/10.1007/s11042-015-3230-0.

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39

Nakamura, E., T. Moritani und A. Kanetaka. „Biological age versus physical fitness age“. European Journal of Applied Physiology and Occupational Physiology 58, Nr. 7 (1989): 778–85. http://dx.doi.org/10.1007/bf00637391.

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40

Noroozi, Rezvan, Soudeh Ghafouri-Fard, Aleksandra Pisarek, Joanna Rudnicka, Magdalena Spólnicka, Wojciech Branicki, Mohammad Taheri und Ewelina Pośpiech. „DNA methylation-based age clocks: From age prediction to age reversion“. Ageing Research Reviews 68 (Juli 2021): 101314. http://dx.doi.org/10.1016/j.arr.2021.101314.

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41

Holla, L., A. Vaskub, M. Kukleta und V. Znojilb. „IS l/D ACE GENE POLYMORPHISM AGE-DEPENDENT?“ Behavioural Pharmacology 9, Nr. 1 (August 1998): S44. http://dx.doi.org/10.1097/00008877-199808000-00089.

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42

Holla, L., A. Vaskub, M. Kukleta und V. Znojilb. „IS l/D ACE GENE POLYMORPHISM AGE-DEPENDENT?“ Behavioural Pharmacology 9, Supplement (August 1998): S44. http://dx.doi.org/10.1097/00008877-199808001-00089.

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43

Holla, L., A. Vaskub, M. Kukleta und V. Znojilb. „IS l/D ACE GENE POLYMORPHISM AGE-DEPENDENT?“ Behavioural Pharmacology 9, Nr. 1 (August 1998): S44. http://dx.doi.org/10.1097/00008877-199812001-00089.

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44

이하배. „The Age-Li(禮) Culture of Everyday Life: divided Age, dividing Age“. Korean Studies Quarterly 30, Nr. 4 (Dezember 2007): 309–34. http://dx.doi.org/10.25024/ksq.30.4.200712.309.

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45

Rollandi, Gian Andrea, Aldo Chiesa, Nicoletta Sacchi, Mauro Castagnetta, Matteo Puntoni, Adriana Amaro, Barbara Banelli und Ulrich Pfeffer. „Biological Age versus Chronological Age in the Prevention of Age Associated Diseases“. OBM Geriatrics 3, Nr. 2 (31.01.2019): 1. http://dx.doi.org/10.21926/obm.geriatr.1902051.

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46

Sun, J., T. S. Sonstegard, C. Li, Y. Huang, Z. Li, X. Lan, C. Zhang, C. Lei, X. Zhao und H. Chen. „Altered microRNA expression in bovine skeletal muscle with age“. Animal Genetics 46, Nr. 3 (20.02.2015): 227–38. http://dx.doi.org/10.1111/age.12272.

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47

Campanacho, Vanessa, Andrew T. Chamberlain, Pia Nystrom und Eugénia Cunha. „Degenerative variance on age-related traits from pelvic bone articulations and its implication for age estimation“. Anthropologischer Anzeiger 77, Nr. 3 (12.08.2020): 243–58. http://dx.doi.org/10.1127/anthranz/2020/1184.

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48

Horton, Arthur MacNeill, Juliane Anilane und Gail L. Bjerklie. „Brain-Age Quotient: Age and Education Correlates“. Perceptual and Motor Skills 74, Nr. 2 (April 1992): 561–62. http://dx.doi.org/10.2466/pms.1992.74.2.561.

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The Brain-Age Quotient (BAQ) of Reitan has been proposed as a means of studying age-related cognitive differences. This study examined age and education correlates of the BAQ and a BAQ short form. A heterogeneous group of 100 subjects were selected from the neuropsychological testing case records published by Golden, Osmon, Moses, and Berg in 1981, Boll (undated), and Reitan (undated). Results suggest the BAQ and the BAQ short form are not significantly correlated with age and education.
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49

Kim, Duk Hee. „Assessment of Bone Age During Pubertal Age“. Journal of Korean Society of Pediatric Endocrinology 16, Nr. 3 (2011): 135. http://dx.doi.org/10.6065/jkspe.2011.16.3.135.

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50

Devedzic, Mirjana, und Jelena Stojilkovic. „New concept of age(ing): Prospective age“. Stanovnistvo 50, Nr. 1 (2012): 45–68. http://dx.doi.org/10.2298/stnv1201045d.

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While the last century was the century of world population growth, according to demographers, the XXI century will be century of population aging. Statistics undoubtedly show that number of elderly will continue it?s growth in the future. If old age is seen as period of life with reduced physical and mental capabilities and increased disability, and demographic aging as increase of dependent population, trends are quite disturbing, at least in certain societal segments. In developed countries, this population category is no longer treated as passive or as a "burden of society" and efforts are made for better social inclusion of older people. In contrast to growing interest in this phenomenon, the concepts that define the aging of the population remained stagnant. The aim of this paper is to introduce into domestic literature the term "prospective age" as a dynamic category which is more affected with socio-historical conditions, not only with biological as traditional definition of aging suggested. Papers written by Sanderson and Scherbov offer new methodological options for study of population aging, because it takes into account the biometric rather than chronological approach. Calculation of prospective years is a simple operation that requires pair of the same number of remained life expectancy from life tables for two different periods (the year of concern is index, and the one we are comparing with is standard year), so that phrase "40s is the new 30s" or "70s the new 60s" gets scientific foundation. Average remaining years of life represent a realistic indicator suggesting increased capacity, activity and vitality of individuals, which is due to accepted demographic parameters still considered old. ?Prospective threshold? is defined as the age when life expectancy falls below 15 years (it is subjective choice made by Sanderson and Scherbov, which is also used in this paper) and during the elaboration of these ideas three demographic indicators was constructed, redefined more precisely, based on prospective age: (prospective) share of the elderly, (prospective) median age and (prospective) old age dependency ratio. With respect to the remaining years of life in the calculation of demographic aging, world?s population will be in rejuvenation process by 2035, longer and more intense than defined by proportion of the elderly. Prospective approach found that longer life expectancy in developing countries is not only a result of the decrease in infant and child mortality, but also the decrease of the old population mortality. Data used in this paper are from period life tables and censuses, for period 1953-2010. Prospective age threshold in Serbia was always higher than retrospective age (60,17 in 1953 .and 63,15 in 2010. for total population) , or the proportion of people with a life expectancy less than 15 years has consistently been higher than the share of people older than 65 years (17.86% vs. 16.92% in 2010). According to prospective criteria, differences between men and women almost do not existent, so that it calls into question the widely accepted feminization of the elderly. The same conclusion stands when we discuss (prospective) median age, population is older using prospective (47,15 years) than traditional (41.41) indicator in 2010, also, compared with rest of the region or with more developed countries, prospective median age is higher in Serbia. Also, prospective old-age dependency ratio is higher than conventional one during analyzed period. Prospective concept and amendments are necessary in public policy, especially pension and health care system, because in combination with traditional approaches can create more justified distribution for older and younger generations.
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