The what, why, and how of changing cooling energy consumption in India’s urban households by Khosla, R, Agarwal, A, Sircar, N, Chatterjee, D

“…AC usage is found to be a function of household habits (such as exposure to ACs in the workplace or schools), structural factors, and socio demographic features. While most ACs are in the middle energy-efficiency range, preferences, behaviours and awareness around energy efficiency are found to affect AC use as well as influence the purchase of more efficient ACs. …”

Perceptions of science, science communication, and climate change attitudes in 68 countries – the TISP dataset by Mede, NG, Cologna, V, Berger, S, Besley, J, Brick, C, Joubert, M, Maibach, EW, Mihelj, S, Oreskes, N, Schäfer, MS, van der Linden, S, Abdul Aziz, NI, Abdulsalam, S, Shamsi, NA, Aczel, B, Adinugroho, I, Alabrese, E, Aldoh, A, Alfano, M, Ali, IM, Alsobay, M, Altenmüller, M, Alvarez, RM, Amoako, R, Levy, N

“…The questionnaire contained comprehensive measures for individuals’ trust in scientists, science-related populist attitudes, perceptions of the role of science in society, science media use and communication behaviour, attitudes to climate change and support for environmental policies, personality traits, political and religious views and demographic characteristics. Here, we describe the dataset, survey materials and psychometric properties of key variables. …”

Knowledge and practice regarding medication use among elderly with chronic diseases in Felda Tembangau 2, Kemayan, Pahang by Farid, Aina Natasha Mohd

“…Data on their socio-demographic characteristics, levels of knowledge, and practices regarding medication use were collected through face to face and structured interviews. …”
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Kinematics of Active Deformation Across the Western Kunlun Mountain Range (Xinjiang, China) and Potential Seismic Hazards Within the Southern Tarim Basin by Guilbaud, Christelle, Simoes, Martine, Barrier, Laurie, Laborde, Amandine, Van der Woerd, Jérôme, Li, Haibing, Tapponnier, Paul, Coudroy, Thomas, Murray, Andrew

“…To quantify the rate of active deformation and the potential for major earthquakes in this region, we combine a structural and quantitative morphological analysis of the Yecheng–Pishan fold, along the topographic mountain front in the epicentral area. Using a seismic profile, we derive a structural cross section in which we identify the fault that broke during the Pishan earthquake, an 8–12 km deep blind ramp beneath the Yecheng–Pishan fold. …”
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Complexities of the San Andreas fault near San Gorgonio Pass : implications for large earthquakes by Yule, Doug, Sieh, Kerry

“…(U/Th)/He thermochronometry supports our interpretation that this south-under-north thickening of the crust has created the region's 3 km of topographic relief. We conclude that future large earthquakes generated along the San Andreas fault in this region will have a multiplicity of mostly specifiable sources having dimensions of 1–20 km. …”
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Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2... by Brauer, M, Roth, GA, Aravkin, AY, Bandyopadhyay, S, Bennett, DA, Browne, AJ, Graham, SM, Rodriguez, JAB, Runghien, T, Sartorius, B

“…Attributable burden estimates were stratified by Socio-demographic Index (SDI) quintile and presented as counts, age-standardised rates, and rankings. …”

Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19 by Aleta, Alberto, Martín-Corral, David, Pastore y Piontti, Ana, Ajelli, Marco, Litvinova, Maria, Chinazzi, Matteo, Dean, Natalie E., Halloran, M. Elizabeth, Longini Jr, Ira M., Merler, Stefano, Pentland, Alex, Vespignani, Alessandro, Moro, Esteban, Moreno, Yamir

“…Here we integrate anonymized, geolocalized mobility data with census and demographic data to build a detailed agent-based model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission in the Boston metropolitan area. …”
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Teenagers and videoconference fatigue: a preliminary analysis from an affordance-based approach by Lee, Chei Sian, Li, Benjamin Junting, Wu, Qian

“…Specifically, the objectives are to examine if (a) VC affordances (visibility, information, and availability), and (b) demographic profiles (age and gender) have effects on VCF among teenagers. …”
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An interdisciplinary perspective on social and physical determinants of seismic risk by Lin, K.-H. E., Chang, Y.-C., Liu, G.-Y., Lin, T.-H., Yeh, C.-H., Chan, Chung-Han

“…In the context of the 1999 Chi-Chi earthquake in Taiwan, this study constructs three statistical models to test different determinants that affect disaster fatality at the village level, including seismic hazard, exposure of population and fragile buildings, and demographic and socioeconomic vulnerability. The Poisson regression model is used to estimate the impact of these factors on fatalities. …”
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China's expectations for university students' employment outlook: A qualitative analysis based on employment policy documents by Zhang, Ziran, Hasan, Ahmad

“…-China trade war, COVID-19, and demographic shifts, graduates in China face growing employment pressures. …”
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Gaps In Primary Care And Health System Performance In Six Latin American And Caribbean Countries by Macinko, James, Guanais, Frederico C., Mullachery, Pricila, Jimenez, Geronimo

“…The rapid demographic and epidemiological transitions occurring in Latin America and the Caribbean have led to high levels of noncommunicable diseases in the region. …”
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Mobility patterns are associated with experienced income segregation in large US cities by Moro, Esteban, Calacci, Dan, Dong, Xiaowen, Pentland, Alex

“…Interestingly, while the latter is more strongly associated with demographic characteristics, the former is more strongly associated with mobility behavioral variables. …”
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Filipino nursesʼ use of smartphones in clinical settings by Bautista, John Robert Razote

“…To address this research gap, this study provided a ranking on how nurses have used their smartphones for work purposes in clinical settings and identified differences based on demographic and organizational factors. In January to June 2017, a pen-and-paper survey was administered to 517 staff nurses employed in 19 tertiary-level general hospitals in Metro Manila, Philippines. …”
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Using AI / machine learning to solve real world problems by Lok, Ignatius Zhengrong

“…Additionally, the data provided contained obfuscated variables which encoded different categorical data types including Demographic, Real Estate and Commercial Data. We look to address the obfuscated data and the small training set during the preprocessing and feature engineering stage. …”
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A study on social network in Singapore by Wang, Hao

“…Surveys were first conducted to gather the demographic and social behavioral data of the people living in Singapore. …”
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Computer vision and sensor fusion towards better facilities management system for smart buildings by Arumugam, M Logaraj

“…Furthermore, the ever-increasing energy consumption coupled with the cost factor and the immense carbon footprint that Singapore has been facing in this modern era of demographic slowdown and economic restructuring also brings another glaring challenge to this industry. …”
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GEMTraits: A database and R package for accessing and analyzing plant functional traits from the Global Ecosystems Monitoring Network by Shenkin, A, Bentley, L, Asner, G, Diaz, S, Enquist, B, Malhi, Y, Girardin, C

“…This dataset contains a POSTGRESQL database with demographic and functional trait data on trees from 10 1-hectare permanent plots across an elevation transect from 3500m to 200m in SE Peru. …”

Evaluating machine learning for predicting youth suicidal behavior up to 1 year after contact with mental-health specialty care by O’Reilly, LM, Fazel, S, Rickert, ME, Kuja-Halkola, R, Cederlöf, M, Hellner, C, Larsson, H, Lichtenstein, P, D’Onofrio, BM

“…Using 209 predictors across domains (e.g., clinical, demographic, family, neighborhood, social) identified from national registers, we applied standard logistic regression, regularized logistic regression, and machine-learning algorithms (i.e., random forests, gradient boosting, support vector machines). …”

Factors influencing visitors' perception on congestion in Giant Panda Conservation Centre (GPCC), Zoo Negara by Lim, Sin Yun

“…Besides that, it also aimed to study the socio-demographic variables in GPCC. The variables were measured using a four points Likert scale through questionnaire survey of 250 respondents. …”
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Constipation and quality of life among non-academic staffs in school of health science, Universiti Sains Malaysia by Sonny, Damia Batrisyia Mohd

“…This study aims to assess the prevalence of constipation, the level of QOL, and its association between constipation and impact towards QOL, and association between socio-demographic factors and constipation among non-academic staffs. …”
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