GIS-based multi-criteria decision analysis model for utility water demand: the case of Lodwar Municipality, Turkana County, Kenya by Wanguba, B, Siriba, DN, Okumu, BO

“…Municipalities and cities worldwide are struggling to maintain a steady supply of water to meet the increasing water demand. The study used Geographic Information System (GIS) techniques and Multi-Criteria Decision Analysis (MCDA) to develop a decision support model that can be applied to improve the utility water demand management for the Lodwar Municipality in Turkana Kenya. …”

Macroevolutionary history of Neotropical vegetation during the Cenozoic: a palynological perspective from Colombia by De La Parra Bonilla, G

“…The relationship between floods and the evolution of Neotropical vegetation is challenging due to the uncertainty related to the temporal and geographic range of the floods. The evidence suggest that the floods had a local rather that a regional effect on the evolution of Neotropical vegetation. …”

Efficiency in real estate development: Is management or robotics the key? by Liu, Yuming, Hizami bin Alias, Aidi, Azam Haron, Nuzul, Abu Bakar, Nabilah, Wang, Hao

“…Future research should explore longitudinal effects, broader geographic scopes, and potential mediating variables in CR and APM dynamics in real estate development.…”
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Site suitability assessment for selected nature-based solution (NBS) in flood-prone area by Ibrahim, Balqis, Ash'aari, Zulfa Hanan, Zulkafli, Zed

“…This study utilized Geographic Information System (GIS) technologies to address this challenge by identifying optimal locations for implementing selected NbS in Kota Tinggi district, Johor. …”
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Analysis of Seoul Apartment Prices during Population Decline Era by Cho, Moohyun

“…By applying various indices related to apartment prices, this study demonstrates the correlations between apartment prices and demographic changes, consequently exploring the potential future scenarios for the housing market in Seoul.…”
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The profile of running and running injuries in Singapore by Phua, Joel Chia Keng

“…Results: Across the 50 respondents when comparing demographic and running profile factors, a runner from the Singapore running community is likely to have 1 running-related injury at any given year. …”
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AR card game design & implementation by Emmanuelle Vania

“…For this reason, the application hopes to attract young people, such as teens and young adults, as the primary user demographic of the existing CCG community. A prototype stage of the game has been developed in which players will be able to set up a local multiplayer match, load AR content and perform actions according with cards of their choice. …”
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The Global Multidimensional Poverty Index 2022: harmonised level estimates and their changes over time by Alkire, S, Kanagaratnam, U, Suppa, N

“…The estimates are based on 205 individual survey datasets, mostly the Demographic Health Survey (DHS) and the Multiple Indicator Cluster Survey (MICS). …”

The role of membrane curvature in nanoscale topography-induced intracellular signaling by Lou, Hsin-Ya, Zhao, Wenting, Zeng, Yongpeng, Cui, Bianxiao

“…However, a mechanistic understanding of how cells interact and respond to nanoscale topographic features is still lacking. In this Account, we focus on some recent studies that support a new mechanism that local membrane curvature induced by nanoscale topography directly acts as a biochemical signal to induce intracellular signaling, which we refer to as the curvature hypothesis. …”
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Factors associated with body weight status and internet addiction among malaysian university students in Penang: mixed method study before and during covid-19 pandemic by Isaac, Nesamalar

“…In addition, there is a significant contribution of demographic factors, internet addiction, and sleep quality to the body mass index of Malaysian university/college students in Penang.…”
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What does sounding Singaporean mean? by Tan, Charmaine Li Min

“…This paper aims to investigate which vocalic features mark Singaporean speech, and if the phonetic patterns follow demographic trends of education levels and ethnicity. …”
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The paradox of technology innovativeness and risk perceptions – a profile of Asian smartphone users by Wang, Xiaohui, Lee, Kwan Min

“…The four clusters show significant differences in demographic features. Theoretical and practical implications are discussed based on these findings.…”
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Examining the quality of life of elders in Singapore by Chee, Wai Ern

“…With Singapore's rapidly ageing population, the well-being of this demographic has become increasingly pertinent. This study aims to evaluate the quality of life of elders in Singapore based on Article 25 of the Universal Declaration of Human Rights, which states that access to housing, medical care, food, clothing and social services is a fundamental human right. …”
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Banking behaviour of expatriate lecturers in Singapore. by Goh, Amy., Phua, Nai Hsin., Poh, Siok Peng.

“…The study of the influences of certain demographic factors are also carried out for some of the above analysis. …”
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The Global Multidimensional Poverty Index 2024: harmonised level estimates and their changes over time by Alkire, S, Kanagaratnam, U, Suppa, N

“…The estimates are based on 233 individual survey datasets, mostly the Demographic Health Survey (DHS) and the Multiple Indicator Cluster Survey (MICS). …”

Fast and accurate detection of Identical-By-Descent segment sharing in large genomic datasets by Saada, J

“…<p>Identical-By-Descent (IBD) segments are a fundamental measure of ge- netic relatedness and IBD detection is of great interest in many applica- tions, including demographic inference and haplotype-based association. …”

Personalized prescription of ACEI/ARBs for hypertensive COVID-19 patients by Bertsimas, D, Borenstein, A, Mingardi, L, Nohadani, O, Orfanoudaki, A, Stellato, B, Wiberg, H, Sarin, P, Varelmann, DJ, Estrada, V, Macaya, C, Gil, IJN

“…Our approach leverages clinical and demographic information to identify hospitalized individuals whose probability of mortality or morbidity can decrease by prescribing this class of drugs. …”

Self-Supervised Learning across the Spectrum by Shenoy, Jayanth, Zhang, Xingjian Davis, Tao, Bill, Mehrotra, Shlok, Yang, Rem, Zhao, Han, Vasisht, Deepak

“…We also curate m2s2-SITS, a large-scale dataset of unlabeled, spatially aligned, multimodal, and geographic-specific SITS that serves as representative pretraining data for S4. …”
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Risk assessment and its visualization of power tower under typhoon disaster based on machine learning algorithms by Hou, Hui, Yu, Shiwen, Wang, Hongbin, Huang, Yong, Wu, Hao, Xu, Yan, Li, Xianqiang, Geng, Hao

“…On the data layer, a spatial multi-source heterogeneous information database is built based on equipment operation information, meteorological information, and geographic information. On the knowledge extraction layer, six intelligent risk prediction models are established based on machine learning algorithms by hyperparameter optimization. …”
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Development of the polyglot Asian medicine knowledge graph system by Khoo, Christopher S. G., Stanley-Baker, Michael, Faizah Binte Zakaria, Chen, Jinju, Ang, Shaun Qiao Rou, Huang, Bo

“…The knowledge graph currently links the medicine names in the original and English languages, to alternate names and scientific names, to plant/animal parts they are made from, to literary and historical sources they were mentioned in, to geographic areas they were associated with, and to external database records. …”
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