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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Maximizing airport runway throughput via sequencing arrival schedule by Lin, Chuanwen

“…However, due to environmental and geographic limitations, these are no longer viable solutions to counteract increasing air traffic. …”
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Episcopacy and parochialism in early South African Anglicanism: Bishop Robert Gray and the antecedent churches of the Cape Colony, 1806-72 by Bester, M

“…However, the theological deprecations are misleading: parochial opposition to Gray arose primarily from resistance to episcopal authority, made acute by colonial identity, conservatism, and geographic isolation, rather than differing ecclesiology. …”

Accessibility, inclusivity, and implementation of COVID-19 clinical management guidelines early in the pandemic: a global survey by Pilbeam, C, Malden, D, Newell, K, Dagens, A, Kennon, K, Michelen, M, Gobat, N, Sigfrid, L

“…Data on accessibility, inclusivity, and implementation of CMGs were analysed by geographic location. <br><strong>Results: </strong>76 clinicians from 27 countries responded: 82% from high-income countries, 17% from lower middle-income countries (LMICs). …”

Practitioner, patient and public views on the acceptability of mobile stroke units in England and Wales: A mixed methods study by Moseley, L, McMeekin, P, Price, C, Shaw, L, Laws, A, Allen, M, Ford, GA, James, M, McCarthy, S, McClelland, G, Park, LJ, Pearn, K, Phillips, D, White, P, Wilson, D, Scott, J

“…These concerns included how MSUs would be staffed; whether and how telemedicine could contribute; the types of economic impacts; extent to which triage systems could accurately identify stroke patients for MSUs to attend; where the base location and geographic coverage of MSUs should be, the impact of MSUs on equitable access to stroke care, and how to improve public awareness of MSUs. …”

Dengue hemorrhagic fever prevention and control: DHF-solve model using linebot-application and GIS by Mala, M., Meenongwar, C., Jundaeng, J., Osman, M., Viegus, Z., Nithikathkul, C.

“…This research article centres on developing a model to prevent and control DHF, utilising the DHF-Solve model, a Linebot, and Geographic Information Systems (GIS). The research was conducted in four phases. …”
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Fine-scale genetic structure and natural selection signatures of southwestern Hans inferred from patterns of genome-wide allele, haplotype, and haplogroup lineages by Wang, Mengge, Yuan, Didi, Zou, Xing, Wang, Zheng, Yeh, Hui-Yuan, Liu, Jing, Wei, Lan-Hai, Wang, Chuan-Chao, Zhu, Bofeng, Liu, Chao, He, Guanglin

“…Generally, we provided a case and ideal strategy to reconstruct the detailed demographic evolutionary history of Guizhou Hans, which provided new insights into the fine-scale genomic formation of one ethnolinguistically specific targeted population from the comprehensive perspectives of the shared unlinked alleles, linked haplotypes, and paternal and maternal lineages.…”
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Towards a translation policy in Singapore : illuminations by community translation & interpretation by Li, Xulin

“…It takes on a macro perspective of national competitiveness via formulation of a translation policy to grow the linguistic and translation assets of the nation. In surveying the demographic composition and trend, local linguistic resources and education, the paper proposes recommendations in pushing forward CTI as part of the strategy for growth. …”
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Thick thrills: because life's too short for skinny taste by Mehta Shivani

“…By employing qualitative methods, including personal observations and interviews with petite women aged 18 to 30, this research aims to foster understanding and empathy towards this demographic. The study delves into various aspects of the petite experience and the psychological impact of backhanded compliments and derogatory remarks, which often exacerbate feelings of insecurity. …”
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Managing longevity risks in Singapore : an analysis of returns on variable annuities using the Lee-Carter model, financial time series analysis and Monte Carlo simulation by Sun, Si Lu, Yu, Shu Mei, Zhang, Chen

“…Managing longevity risks is of growing importance in Singapore due to demographic changes and the unique retirement policy. …”
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A study on Stevedoring companies and their operations in Singapore : break bulk shipping segment by Ng, Donovan Chun Hong

“…Education and Skills Requirement 5. Demographic Through this analysis, it is concluded that the role of break bulk stevedores will continue to evolve in the future with technological developments in the break bulk industry. …”
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Comparison of current and former sport event volunteers motivation in Singapore by Leong, Su En

“…Volunteers (ntotal = 38; ncurrent = 15; nformer = 23) responded to demographic questions, short- answer questions regarding their volunteer involvement level, and the Volunteer Functions Inventory (VFI) (Clary et al., 1998). …”
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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. …”

Entrepreneurial leadership style during the Covid-19 pandemic: a systematic literature review by Zhong, Xueyun, Mohd Hizam Hanafiah, Zaleha Yazid, Nur Saadah Muhamad

“…The review also emphasizes the need for future research to investigate additional characteristics of leadership style, such as the effects of culture, demographic demographics, and organizational decision-making processes on leadership effectiveness. …”
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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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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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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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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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