Novel material composites for dielectric elastomer actuators by Ankit

“…A new device architecture for dielectric elastomer actuators, capable of producing on-demand surface texture change and local topographic features, is demonstrated. Owing to its unique architecture, a highly transparent, flexible and integrable configuration of the device is showed. …”
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Predicting cognitive scores from wearable-based digital physiological features using machine learning: data from a clinical trial in mild cognitive impairment by Rykov, Yuri G., Patterson, Michael D., Gangwar, Bikram A., Jabar, Syaheed B., Leonardo, Jacklyn, Ng, Kok Pin, Kandiah, Nagaendran

“…Supervised machine learning was used to train models predicting NTB scores from digital physiological features and demographics. Performance was evaluated using “leave-one-subject-out” and “leave-one-interval-out” cross-validation. …”
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The dietetic practice of prescribing amino acid-based formulas in paediatrics patients without cow’s milk allergy: a single centre retrospective study by O’Connor, Graeme, Mansell, Melissa

“…Data were collected on demographics, anthropometrics, feed regimens, gastrointestinal symptoms, proton pump inhibitor use and serum phosphate concentration Results: 203 children were prescribed an AAF during the data collection period, of these, 154 of 203 (76%) patients had no allergies. …”
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Infectious diseases acquired by international travellers visiting the USA by Stoney, Rhett J, Esposito, Douglas H., Kozarsky, Phyllis, Hamer, Davidson H., Grobusch, Martin P., Gkrania-Klotsas, Effrossyni, Libman, Michael, Gautret, Philippe, Lim, Poh Lian, Leder, Karin, Schwartz, Eli, Sotir, Mark J., Licitra, Carmelo

“…Methods: We performed a descriptive analysis summarizing demographic and travel characteristics, and clinical diagnoses among non-US-resident international travellers seen during or after travel to the USA at a GeoSentinel clinic from 1 January 1997 through 31 December 2016. …”
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Development of the CHARIOT Research Register for the Prevention of Alzheimer’s Dementia and Other Late Onset Neurodegenerative Diseases by Larsen, Mark E., Curry, Lisa, Mastellos, Nikolaos, Robb, Catherine, Car, Josip, Middleton, Lefkos T.

“…Upon consent, a minimum data set of demographic and contact details was extracted from the patient’s electronic health record. …”
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Young people's understanding of European values: enhancing abilities, supporting participation and voice by Ross, Alistair, Loughran, Tom, Brunold, Andreas, Hartsmar, Nanny, Liljefors Persson, Bodil, Chistolini, Sandra, Dotta, Leanete Thomas, Freires, Thiago, Kõiv, Kristi, Lopes, Juliana Crespo, Pembecioğlu, Nilüfer, Pereira, Fátima, Spinthourakis, Julia Athena

“…Presentation of the analysis: A: The demographic characteristics of the survey population. …”
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Role of primary and secondary care data in atrial fibrillation ascertainment: impact on risk factor associations, patient management, and mortality in UK Biobank by Camm, CF, Von Ende, A, Gajendragadkar, PR, Pessoa-Amorim, G, Mafham, M, Allen, N, Parish, S, Casadei, B, Hopewell, JC

“…AF cases in each of the ascertainment groups had comparable baseline demographic characteristics. However, AF cases identified in hospital data alone had a higher prevalence of cardiometabolic comorbidities and lower rates of subsequent anticoagulation (PC-only: 44%, PC + HADP: 48%, HADP-only: 10%, P < 0.0001) than other groups. …”

Mediating effects of satisfaction in the relationship between motivation factors and continuous viewing intentions towards Chinese documentary programs by Mengyu, Li

“…Meanwhile, the factors of gender, age, and the year of study indicated significant effects on continuous viewing intentions among all socio-demographic factors except for subjects. At last, satisfaction as a mediating variable showed a significant effect. …”
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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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