Identifying erosion risk criteria for coastal city sustainability by using a Hyper-Delphi-hierarchy model: a case study of Kuala Terengganu, Malaysia by Bagheri, Milad, Ibrahim, Zelina Z., Manaf, Latifah Abd, Wolf, Isabelle D., Akhir, M.F., WIAW, Talaat

“…This HDH study demonstrated hazard criteria and layer weight and integrated Geographic Information Systems (GIS) spatial data for assessing coastal erosion risk, providing important insights into coastal city sustainability (CCS). …”

You must be myths-taken: examining belief in falsehoods during the COVID-19 health crisis by Lwin, May Oo, Sheldenkar, Anita, Tng, Pei Ling

“…However, belief in myths varied across population demographics, with ethnic minorities (Indians and Malays), females, young adults and those with lower education levels being more susceptible to myths than their counterparts (p < 0.05). …”
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Self-reported weight changes in 1st year university students in England: an analysis of social and physical environment by Vadeboncoeur, C

“…They reported their weight, height and answered questions representing 29 constructs at the demographics, intrapersonal, interpersonal and environmental level, reflecting the SEM. …”

“双城” 新加坡与香港 ： “一带一路”的策略及其反应 = “Twin Cities” Singapore and Hong Kong : belt road initiative strategies and responses by Tham, Kok Yung

“…This paper will use it as a reference point on “Twin Cities”, namely Singapore and Hong Kong, to review their various considerations and strategies. Due to geographic location and development constraints, they had made different economic and trade investments approaches to China. …”
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Spatial pricing and warehouse assortment in online retailing by Wang, Xuchen

“…Spatial pricing involves adjusting demands or service costs based on geographic location. In the first part of the thesis, we develop a profit-maximization model to make spatial pricing decisions consisting of indiscriminate product prices and a shipping policy that shares shipping costs with consumers. …”
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Prevalence of offering menopause hormone therapy among primary care doctors and its associated factors: a cross-sectional study by Low, Tiong Lim, Cheong, Ai Theng, Devaraj, Navin Kumar, Ismail, Rohayah

“…The questionnaire included PCDs’ demographics, their menopause management practices, attitudes towards MHT, perceived barriers in offering MHT, knowledge of related guidelines and received training on menopause management. …”
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Evaluation of rabies awareness and the population dynamics of free-roaming and owned dogs in Herat city, Afghanistan by Nasiry, Zabihullah

“…The objectives of the study were to characterize demographics and estimate the population size of both owned and free-roaming dogs, to assess dog bites cases, and knowledge, attitude, and practices of the community towards rabies and to estimate the post-exposure treatment costs associated with dog bites in Herat city, Afghanistan. …”
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Integrated transcriptomic and proteomic profiling of responses to clinical and novel bisphosphonates by Lu, J

“…Initially, a summary of clinical and pre-clinical data was conducted, generating a disease map and geographic heatmap highlighting bisphosphonate-associated diseases and mortality-related clinical trials. …”

Investigation of digital twins and metaverse by Chow, Harry Yun Fatt

“…BIM is more than just a 3D model; it encompasses building geometry, spatial relationships, geographic information, component quantities and attributes (e.g., manufacturer information), and allows for the integration of various types of information (e.g., cost estimates, material inventory, project plans) integrated into the model. …”
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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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Genetic analysis of normal human phenotypes within the people of the British Isles by Meena, D

“…The sample collection criteria for recruiting participants genetically representative of geographic areas in rural Britain is of fundamental importance as it minimises the risk of spurious genotype-phenotype correlations that are due to population stratification. …”

Investigating the health and care needs of pregnant women with multiple long-term conditions by D'Arcy, R

“…The epidemiology of MLTC in pregnancy was described including temporal and geographic trends over a ten-year period. Logistic regression was used to investigate the association between MLTC and severe adverse outcomes (severe maternal morbidity, stillbirth, neonatal death) in pregnancy and the immediate postpartum period. …”

21A.337J / CMS.917J Documenting Culture, Spring 2004 by Walley, Christine

“…This course challenges distinctions commonly made between documentary and ethnographic films to consider how human cultural life is portrayed in both. …”
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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. …”

Citizen science for IceCube: Name that Neutrino by Abbasi, R., Ackermann, M., Adams, J., Agarwalla, S. K., Aguilar, J. A., Ahlers, M., Alameddine, J. M., Amin, N. M., Andeen, K., Anton, G., Argüelles, C., Ashida, Y., Athanasiadou, S., Ausborm, L., Axani, S. N., Bai, X., Balagopal V., A., Baricevic, M., Barwick, S. W., Basu, V., Bay, R., Beatty, J. J., Becker Tjus, J., Beise, J., Bellenghi, C., Benning, C., BenZvi, S., Berley, D., Bernardini, E., Besson, D. Z., Blaufuss, E., Blot, S., Bontempo, F., Book, J. Y., Boscolo Meneguolo, C., Böser, S., Botner, O., Böttcher, J., Braun, J., Brinson, B., Brostean-Kaiser, J., Brusa, L., Burley, R. T., Busse, R. S., Butterfield, D., Campana, M. A., Caracas, I., Carloni, K., Carpio, J., Chattopadhyay, S., Chau, N., Chen, C., Chen, Z., Chirkin, D., Choi, S., Clark, B. A., Coleman, A., Collin, G. H., Connolly, A., Conrad, J. M., Coppin, P., Corley, R., Correa, P., Cowen, D. F., Dave, P., De Clercq, C., DeLaunay, J. J., Delgado, D., Deng, S., Deoskar, K., Desai, A., Desiati, P., de Vries, K. D., de Wasseige, G., DeYoung, T., Diaz, A., Díaz-Vélez, J. C., Dittmer, M., Domi, A., Draper, L., Dujmovic, H., DuVernois, M. A., Ehrhardt, T., Eimer, A., Eller, P., Ellinger, E., El Mentawi, S., Elsässer, D., Engel, R., Erpenbeck, H., Evans, J., Evenson, P. A., Fan, K. L., Fang, K., Farrag, K., Fazely, A. R., Fedynitch, A., Feigl, N., Fiedlschuster, S., Finley, C., Fischer, L., Fox, D., Franckowiak, A., Fürst, P., Gallagher, J., Ganster, E., Garcia, A., Gerhardt, L., Ghadimi, A., Girard-Carillo, C., Glaser, C., Glüsenkamp, T., Gonzalez, J. G., Goswami, S., Granados, A., Grant, D., Gray, S. J., Gries, O., Griffin, S., Griswold, S., Groth, K. M., Günther, C., Gutjahr, P., Ha, C., Haack, C., Hallgren, A., Halliday, R., Halve, L., Halzen, F., Hamdaoui, H., Ha Minh, M., Handt, M., Hanson, K., Hardin, J., Harnisch, A. A., Hatch, P., Haungs, A., Häußler, J., Helbing, K., Hellrung, J., Hermannsgabner, J., Heuermann, L., Heyer, N., Hickford, S., Hidvegi, A., Hill, C., Hill, G. C., Hoffman, K. D., Hori, S., Hoshina, K., Hou, W., Huber, T., Hultqvist, K., Hünnefeld, M., Hussain, R., Hymon, K., Ishihara, A., Iwakiri, W., Jacquart, M., Janik, O., Jansson, M., Japaridze, G. S., Jeong, M., Jin, M., Jones, B. J. P., Kamp, N., Kang, D., Kang, W., Kang, X., Kappes, A., Kappesser, D., Kardum, L., Karg, T., Karl, M., Karle, A., Katil, A., Katz, U., Kauer, M., Kelley, J. L., Khanal, M., Khatee Zathul, A., Kheirandish, A., Kiryluk, J., Klein, S. R., Kochocki, A., Koirala, R., Kolanoski, H., Kontrimas, T., Köpke, L., Kopper, C., Koskinen, D. J., Koundal, P., Kovacevich, M., Kowalski, M., Kozynets, T., Krishnamoorthi, J., Kruiswijk, K., Krupczak, E., Kumar, A., Kun, E., Kurahashi, N., Lad, N., Lagunas Gualda, C., Lamoureux, M., Larson, M. J., Latseva, S., Lauber, F., Lazar, J. P., Lee, J. W., Leonard DeHolton, K., Leszczyńska, A., Lincetto, M., Liubarska, M., Lohfink, E., Love, C., Lozano Mariscal, C. J., Lu, L., Lucarelli, F., Luszczak, W., Lyu, Y., Madsen, J., Magnus, E., Mahn, K. B. M., Makino, Y., Manao, E., Mancina, S., Marie Sainte, W., Mariş, I. C., Marka, S., Marka, Z., Marsee, M., Martinez-Soler, I., Maruyama, R., Mayhew, F., McElroy, T., McNally, F., Mead, J. V., Meagher, K., Mechbal, S., Medina, A., Meier, M., Merckx, Y., Merten, L., Micallef, J., Mitchell, J., Montaruli, T., Moore, R. W., Morii, Y., Morse, R., Moulai, M., Mukherjee, T., Naab, R., Nagai, R., Nakos, M., Naumann, U., Necker, J., Negi, A., Neumann, M., Niederhausen, H., Nisa, M. U., Noell, A., Novikov, A., Nowicki, S. C., Obertacke Pollmann, A., O’Dell, V., Oeyen, B., Olivas, A., Orsoe, R., Osborn, J., O’Sullivan, E., Pandya, H., Park, N., Parker, G. K., Paudel, E. N., Paul, L., Pérez de los Heros, C., Pernice, T., Peterson, J., Philippen, S., Pizzuto, A., Plum, M., Pontén, A., Popovych, Y., Prado Rodriguez, M., Pries, B., Procter-Murphy, R., Przybylski, G. T., Raab, C., Rack-Helleis, J., Rawlins, K., Rechav, Z., Rehman, A., Reichherzer, P., Resconi, E., Reusch, S., Rhode, W., Riedel, B., Rifaie, A., Roberts, E. J., Robertson, S., Rodan, S., Roellinghoff, G., Rongen, M., Rosted, A., Rott, C., Ruhe, T., Ruohan, L., Ryckbosch, D., Safa, I., Saffer, J., Salazar-Gallegos, D., Sampathkumar, P., Sandrock, A., Santander, M., Sarkar, S., Sarkar, S., Savelberg, J., Savina, P., Schaufel, M., Schieler, H., Schindler, S., Schlüter, B., Schlüter, F., Schmeisser, N., Schmidt, T., Schneider, J., Schröder, F. G., Schumacher, L., Sclafani, S., Seckel, D., Seikh, M., Seo, M., Seunarine, S., Shah, R., Shefali, S., Shimizu, N., Silva, M., Skrzypek, B., Smithers, B., Snihur, R., Soedingrekso, J., Søgaard, A., Soldin, D., Soldin, P., Sommani, G., Spannfellner, C., Spiczak, G. M., Spiering, C., Stamatikos, M., Stanev, T., Stezelberger, T., Stürwald, T., Stuttard, T., Sullivan, G. W., Taboada, I., Ter-Antonyan, S., Terliuk, A., Thiesmeyer, M., Thompson, W. G., Thwaites, J., Tilav, S., Tollefson, K., Tönnis, C., Toscano, S., Tosi, D., Trettin, A., Tung, C. F., Turcotte, R., Twagirayezu, J. P., Unland Elorrieta, M. A., Upadhyay, A. K., Upshaw, K., Vaidyanathan, A., Valtonen-Mattila, N., Vandenbroucke, J., van Eijndhoven, N., Vannerom, D., van Santen, J., Vara, J., Veitch-Michaelis, J., Venugopal, M., Vereecken, M., Verpoest, S., Veske, D., Vijai, A., Warrick, E. H. S., Walck, C., Weaver, C., Weigel, P., Weindl, A., Weldert, J., Wen, A. Y., Wendt, C., Werthebach, J., Weyrauch, M., Whitehorn, N., Wiebusch, C. H., Williams, D. R., Witthaus, L., Wolf, A., Wolf, M., Wrede, G., Xu, X. W., Yanez, J. P., Yildizci, E., Yoshida, S., Young, R., Yu, S., Yuan, T., Zhang, Z., Zhelnin, P., Zilberman, P., Zimmerman, M.

“…Name that Neutrino is a citizen science project where volunteers aid in classification of events for the IceCube Neutrino Observatory, an immense particle detector at the geographic South Pole. From March 2023 to September 2023, volunteers did classifications of videos produced from simulated data of both neutrino signal and background interactions. …”
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An undue emphasis on rural older adults in the Chief Medical Officer's annual report 2023? by Cheetham, NJ, Dhesi, J, Hopper, A, Dowd, JB, Steves, CJ

“…Policy-makers need to consider both absolute and relative demographic trends as well as making use of direct measures of health when planning how healthcare services for older adults are distributed geographically in England.…”

The social atlas of Europe by Ballas, D, Dorling, D, Hennig, B

“…It utilizes the latest available demographic, social, and economic data through state-of-the-art geographical information systems and new cartography techniques. …”

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

“…To help researchers analyse the science-society nexus across different geographical and cultural contexts, we undertook a cross-sectional population survey resulting in a dataset of 71,922 participants in 68 countries. …”

A critical study on Yelp dataset for recommender system by Ruan, Donglin

“…This research critically examines the Yelp dataset within the domain of recommender systems, emphasizing the integration of geographical data to enhance recommendation accuracy and relevance. …”
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