Global, regional, and national mortality among young people aged 10–24 years, 1950–2019: a systematic analysis for the Global Burden of Disease Study 2019 by Ward, Joseph L., Azzopardi, Peter S., Francis, Kate L., Santelli, John S., Skirbekk, Vegard, Sawyer, Susan M., Kassebaum, Nicholas J., Mokdad, Ali H., Hay, Simon I., Abd-Allah, Foad, Abdoli, Amir, Mohammad Abdollahi, Abedi, Aidin, Abolhassani, Hassan, Abreu, Lucas Guimaraes, Abrigo, Michael R. M., Abu-Gharbieh, Eman, Abushouk, Abdelrahman I., Adebayo, Oladimeji M., Adekanmbi, Victor, Adham, Davoud, Advani, Shailesh M., Afshari, Khashayar, Agrawal, Anurag, Ahmad, Tauseef, Ahmadi, Keivan, Ahmed, Anwar E., Aji, Budi, Akombi-Inyang, Blessing, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alanezi, Fahad Mashhour, Alanzi, Turki M., Alcalde-Rabanal, Jacqueline Elizabeth, Alemu, Biresaw Wassihun, Al-Hajj, Samar, Alhassan, Robert Kaba, Ali, Saqib, Alicandro, Gianfranco, Alijanzadeh, Mehran, Aljunid, Syed Mohamed, Almasi-Hashiani, Amir, Almasri, Nihad A., Al-Mekhlafi, Hesham M., Alonso, Jordi, Al-Raddadi, Rajaa M., Altirkawi, Khalid A., Alvis-Guzman, Nelson, Amare, Azmeraw T., Amini, Saeed, Aminorroaya, Arya, Amit, Arianna Maever L., Amugsi, Dickson A., Ancuceanu, Robert, Anderlini, Deanna, Andrei, Catalina Liliana, Androudi, Sofia, Ansari, Fereshteh, Ansari, Iman, Antonio, Carl Abelardo T., Anvari, Davood, Anwer, Razique, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Arab-Zozani, Morteza, Ärnlöv, Johan, Asaad, Malke, Asadi-Aliabadi, Mehran, Asadi-Pooya, Ali A., Atout, Maha Moh'd Wahbi, Ausloos, Marcel, Avenyo, Elvis Korku, Avila-Burgos, Leticia, Quintanilla, Beatriz Paulina Ayala, Ayano, Getinet, Aynalem, Yared Asmare, Azari, Samad, Azene, Zelalem Nigussie, Bakhshaei, Mohammad Hossein, Bakkannavar, Shankar M., Banach, Maciej, Banik, Palash Chandra, Barboza, Miguel A., Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Basu, Sanjay, Baune, Bernhard T., Bayati, Mohsen, Bedi, Neeraj, Beghi, Ettore, Bekuma, Tariku Tesfaye, Bell, Arielle Wilder, Bell, Michelle L., Benjet, Corina, Bensenor, Isabela M., Berhe, Abadi Kidanemariam, Berhe, Kidanemaryam, Berman, Adam E., Bhagavathula, Akshaya Srikanth, Car, Lorainne Tudor

“…Background: Documentation of patterns and long-term trends in mortality in young people, which reflect huge changes in demographic and social determinants of adolescent health, enables identification of global investment priorities for this age group. …”
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Analysis and modelling of urban sprawl process and its spatiotemporal patterns in tripoli metropolitan area, Libya by Abdulhadi, Abubakr Albashir

“…Several data were used to conduct spatial analysis, modeling, and predictions for urban expansion such as Land-Sat image 1984, Land-Sat image 1996, Spot 5 image 2002, Spot 5 image 2010,road networks, population data, digital contour map, and topographic map. The general aim of this research is to spatiotemporally analyze, assess, and simulate the urban sprawl of Tripoli metropolis by using remotely sensed data through geographic information systems GIS. …”
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Creative ageing in Singapore : a population study on participatory arts engagement and wellbeing among adults aged 50 and above by Ma, Stephanie Hilary Xinyi

“…Control variables included demographic information, self-reported health status, intensity and frequency of physical exercises. …”
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Risk prediction models to guide antibiotic prescribing : a study on adult patients with uncomplicated upper respiratory tract infections in an emergency department by Wong, Joshua Guoxian, Aung, Aung-Hein, Lian, Weixiang, Lye, David Chien, Ooi, Chee-Kheong, Chow, Angela

“…Confirmatory tests were performed using the multiplex polymerase chain reaction (PCR) test for respiratory viruses and point-of-care test for Creactive protein. Demographic, clinical and laboratory data were extracted from the hospital electronic medical records.Seventy percent of the data was used for training and the remaining 30% was used for validation. …”
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Food environments and obesity: a geospatial analysis of the South Asia Biobank, income and sex inequalities by Atanasova, Petya, Kusuma, Dian, Pineda, Elisa, Anjana, Ranjit Mohan, De Silva, Laksara, Hanif, Abu A. M., Hasan, Mehedi, Hossain, Md Mokbul, Indrawansa, Susantha, Jayamanne, Deepal, Jha, Sujeet, Kasturiratne, Anuradhani, Katulanda, Prasad, Khawaja, Khadija I., Kumarendran, Balachandran, Mrida, Malay K., Rajakaruna, Vindya, Chambers, John Campbell, Frost, Gary, Sassi, Franco, Miraldo, Marisa

“…Individual-level data (demographic, socio-economic, and health characteristics) were combined with exposure to healthy and unhealthy food environments measured with geolocations of food outlets (obtained through ground-truth surveys) within 300 m buffer zones around participants' homes. …”
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Implementation of occupational safety and health management system in reducing ergonomic risk among certified and uncertified automotive industry workers by Ikpegbu, Mavis Amarachi

“…Also linear regression test revealed that there is a significant relationship between ergonomics risk and demographic factors. Therefore certification fosters the implementation of OSHMS among workers.…”
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Exploring biomechanical variations in ankle joint injuries among Latin dancers with different stance patterns: utilizing OpenSim musculoskeletal models by Gao, Xiangli, Xu, Datao, Baker, Julien S, Teo, Ee-Chon, Liang, Minjun, Gu, Yaodong

“…Background: Dancers represent the primary demographic affected by ankle joint injuries. In certain movements, some Latin dancers prefer landing on the Forefoot (FT), while others prefer landing on the Entire foot (ET). …”
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Sociospatial reframing of walking through inclusive streets and urban heritage by Wang, Yongcheng

“…Then, to reach a wider demographic, a street-intercept survey was conducted to investigate perceived importance within a set of six different inclusive street design dimensions in relation to the movement and activity functions of streets. …”
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Global, regional, and national burden of stroke and its risk factors, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021 by Feigin, VL, Abate, MD, Abate, YH, Bandyopadhyay, S, Bennett, DA, Lacey, B, Newton, CRJ

“…We also calculated burden of stroke attributable to 23 risk factors and six risk clusters (air pollution, tobacco smoking, behavioural, dietary, environmental, and metabolic risks) at the global and regional levels (21 GBD regions and Socio-demographic Index [SDI] quintiles), using the standard GBD methodology. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline. …”

Associations between health literacy and health care utilization and mortality in patients with coexisting diabetes and end-stage renal disease : a prospective cohort study by Griva, Konstantina, Loong, Russel K. L., Nandakumar, Mooppil, Rajeswari, Moothathamby, Khoo, Eric Y. H., Lee, Vanessa Y. W., Kang, Augustine W. C., Osborne, Richard H., Brini, Stefano, Newman, Stanton P.

“…After adjusting for demographic and clinical factors, the HLQ domain Actively Managing My Health remained independently associated with lower rates of hospitalization (incidence rate ratio (IRR) = 0.674, 95% CI [0.490, 0.925], p = .02) and mortality (hazard ratio = 0.382, 95% CI [0.160, 0.848], p = .02). …”
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Wage premium in Singapore. by Tan, Ruo Hui., Tan, Yan Yu., Lee, Wai Meng.

“…We carried out our survey over 200 Singaporeans and Singapore Permanent Residents between the ages of 20 to 59 based on the demographic of Singapore. This sample size allows us to properly execute both the Ordinary Least Squares and Tobit and Probit methods to draw the relationships between the variables. …”
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The association between the housing structure and continued breastfeeding in two Southern African countries by Khanyile, Ntuthuko, McLaren, Shawn, Fairbrother, Una

“…Data were extracted, with permission, from the Demographic and Health Survey(DHS), a program which provides nutrition surveillance in 90+ countries. …”
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Do dual-mobility cups reduce revision risk in femoral neck fractures compared with conventional tha designs? An international meta-analysis of arthroplasty registries by Farey, JE, Masters, J, Cuthbert, AR, Iversen, P, van Steenbergen, LN, Prentice, HA, Adie, S, Sayers, A, Whitehouse, MR, Paxton, EW, Costa, ML, Overgaard, S, Rogmark, C, Rolfson, O, Harris, IA

“…</p> <p><strong>Methods: </strong>Six member registries of the International Society of Arthroplasty Registries (from Australia, Denmark, Sweden, the Netherlands, the United Kingdom, and the United States) provided custom aggregate data reports stratified by acetabular cup type (dual-mobility or conventional THA) in primary THA for hip fracture between January 1, 2002, and December 31, 2019; surgical approach; and patient demographic data (sex, mean age, American Society of Anesthesiologists class, and BMI). …”

Human-Computer Interaction : Interaction Techniques and Novel Applications : Thematic Area, HCI 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Even... by International Conference on Human-Computer Interaction (23rd : 2021 : Online) 642922, Kurosu, Masaaki, 1948-, editor 573627

Predicting glaucoma progression using deep learning framework guided by generative algorithm by Hussain, Shaista, Chua, Jacqueline, Wong, Damon, Lo, Justin, Kadziauskiene, Aiste, Asoklis, Rimvydas, Barbastathis, George, Schmetterer, Leopold, Yong, Liu

“…We used OCT images, VF values, demographic and clinical data of 86 glaucoma patients with five visits over 12 months. …”
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Employment of a high throughput functional assay to define the critical factors that influence vaccine induced cross-variant neutralizing antibodies for SARS-CoV-2 by Gu, Yue, Shunmuganathan, Bhuvaneshwari, Qian, Xinlei, Gupta, Rashi, Tan, Rebecca S. W., Kozma, Mary, Purushotorman, Kiren, Murali, Tanusya M., Tan, Nikki Y. J., Preiser, Peter Rainer, Lescar, Julien, Nasir, Haziq, Somani, Jyoti, Tambyah, Paul A., Smith, Kenneth G. C., Renia, Laurent, Ng, Lisa F. P., Lye, David C., Young, Barnaby E., MacAry, Paul A.

“…These data illustrate how key virological factors such as immune escape mutations combined with host demographic factors such as age and sex of the vaccinated individual influence the strength and duration of cross-protective serological immunity for COVID-19.…”
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Global, regional, and national incidence and mortality burden of non-COVID-19 lower respiratory infections and aetiologies, 1990–2021: a systematic analysis from the Global Burden... by Bender, RG, Sirota, SB, Swetschinski, LR, Berkley, JA, Eyre, DW, McManigal, B, Pollard, AJ, Roberts, T, Runghien, T, Sartorius, B

“…<p><b>Findings</b></p> Globally, in 2021, we estimated 344 million (95% uncertainty interval [UI] 325–364) incident episodes of LRI, or 4350 episodes (4120–4610) per 100 000 population, and 2·18 million deaths (1·98–2·36), or 27·7 deaths (25·1–29·9) per 100 000. 502 000 deaths (406 000–611 000) were in children younger than 5 years, among which 254 000 deaths (197 000–320 000) occurred in countries with a low Socio-demographic Index. Of the 18 modelled pathogen categories in 2021, S pneumoniae was responsible for the highest proportions of LRI episodes and deaths, with an estimated 97·9 million (92·1–104·0) episodes and 505 000 deaths (454 000–555 000) globally. …”

Effectiveness of cognitive behavior therapy and Reiki therapy on adolescents with depressive disorders inTehran, Iran by Charkhandeh, Mansoureh

“…Pearson Chi Square analysis to check any significant association although the demographic variables (gender, age, parental education, medical problems, living arrangements and family income) between there group (CBT, Reiki and control). …”
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Burden of disease scenarios for 204 countries and territories, 2022-2050: a forecasting analysis for the Global Burden of Disease Study 2021 by Vollset, SE, Ababneh, HS, Abate, YH, Lacey, BWH, GBD 2021 Forecasting Collaborators

“…&lt;h4&gt;Methods&lt;/h4&gt;Using forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. …”

The geometry and matching of lines and curves over multiple views by Schmid, C, Zisserman, A

“…The new relationships focus on determining the plane of the curve in a projective reconstruction, and in particular using the homography induced by this plane for transfer from one image to another. …”