Parallel and distributed algorithms for computational fluid flow simulations by Vu, Thanh Tung

“…Therefore, when the volume of input data increases significantly (e.g. the topographic data have higher resolutions), the excessively long simulation time becomes a major obstacle. …”
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Framework of key success criteria for high performance and sustainable ports - port management perspective by Lee, Nicole Jia Ying

“…Next, larger survey groups should be targeted and comparisons discerning the different demographic groups should be carried out.…”
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Forestvoltaics, floatovoltaics and building applied photovoltaics (BAPV) potential for a university campus by Maity, Rittick, Muhammad Khairul Imran, Ahmad Shuhaimi, Sudhakar, Kumarasamy, Amir, Abdul Razak

“…A combined technical and economic analysis is conducted using Helioscope for simulations and the Photovoltaic Geographic Information System (PVGIS) for economic considerations. …”
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SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks by Zhuang, Dingyi, Bu, Yuheng, Wang, Guang, Wang, Shenhao, Zhao, Jinhua

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Non-motorised transport prioritisation model using spatial intelligence by Poyil, Rohith P., Lopez, Maria Cecilia Rojas, Wong, Yiik Diew

“…The aim of the work reported in this paper was to develop a non-motorised transport (NMT, covering walking and cycling) prioritisation model using a geographic information system that can be used for planning as well as auditing existing NMT infrastructure. …”
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A data mining method to extract traffic network for maritime transport management by Liu, Zhao, Gao, Hairuo, Zhang, Mingyang, Yan, Ran, Liu, Jingxian

“…Subsequently, the grid-system is used to rasterize each traffic group, which realizes the fusion of trajectory data and geographic location information. Finally, to obtain the main routes and navigation channels, the extraction method is introduced by establishing the cumulative grid importance function. …”
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Collaborative forensic platform for electronic artefacts in the Internet of Vehicles by Elmisery, Ahmed M.

“…In this context, intelligent vehicles possess the capability to actively obtain, retain, and send digital evidence to an authorized organization via the Internet reliably and securely, despite geographic and time constraints. This paper presents our efforts in creating a fundamental framework known as the Collaborative Forensic Platform for Electronic Artefacts (CFPEA), which empowers individuals or collectives to manage the artefacts sensed by their intelligent vehicles. …”
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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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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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Review of patency rates between one-stage and two-stage brachial-basilic transposition arteriovenous fistulae creation in an asian population by Lo, Joseph Zhiwen, Yu, Hongyan, Huang, Baoxian, Yau, Joachim Wen Kien, Chandrasekar, Sadhana, Tan, Glenn Wei Leong

“…There was no significant difference in demographics and preoperative vessel caliber between the groups. …”
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Robot-assisted endoscopic submucosal dissection is effective in treating patients with early-stage gastric neoplasia by Phee, Soo Jay, Reddy, Nageshwar, Chiu, Philip W. Y., Rebala, Pradeep, Rao, Guduru V., Wang, Zheng, Sun, Zhenglong, Wong, Jennie Y. Y., Ho, Khek–Yu

“…We measured baseline demographics, tumor characteristics, and perioperative and clinical outcomes. …”
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The relation of nasopharyngeal colonization by Streptococcus pneumoniae in comorbid adults with unfavorable outcomes in a low-middle income country by Olivella-Gomez, J, Lozada, J, Serrano-Mayorga, CC, Méndez-Castillo, L, Acosta-González, A, Viñán Garcés, AE, Bustos, IG, Ibáñez-Prada, ED, Fuentes, YV, Crispin, AM, Garcia-Garcia, EY, Santana, E, Josa, DF, Pulido Saenz, J, Rodíguez-Castaño, GP, Rodríguez Orjuela, JA, Jaimes, D, Tettelin, H, Orihuela, CJ, Reyes, LF

“…Methods: This prospective study of outpatient adults with chronic diseases was conducted in Colombia. Data on demographics, vaccination, and clinical history was collected in a RedCap database. …”

A multi-omics strategy to understand PASC through the RECOVER cohorts: a paradigm for a systems biology approach to the study of chronic conditions by Sun, J, Aikawa, M, Ashktorab, H, Beckmann, ND, Enger, ML, Espinosa, JM, Gai, X, Horne, BD, Keim, P, Lasky-Su, J, Letts, R, Maier, CL, Mandal, M, Nichols, L, Roan, NR, Russell, MW, Rutter, J, Saade, GR, Sharma, K, Shiau, S, Thibodeau, SN, Yang, S, Miele, L, NIH Researching COVID to Enhance Recovery (RECOVER) Consortium

“…The resulting multi-dimensional molecular dataset should be correlated with the deep clinical phenotyping performed through RECOVER, as well as with information on demographics, comorbidities, social determinants of health, the exposome and lifestyle factors that may contribute to the clinical presentations of PASC. …”

The determinants of COVID-19 morbidity and mortality across countries by Chang, Dianna, Chang, Xin, He, Yu, Tan, Kelvin Jui Keng

“…Besides factors commonly associated with infectious diseases (e.g., population and tourism activities), we discover a list of country characteristics that shape COVID-19 outcomes. Among demographic-geographic factors, the male-to-female ratio, population density, and urbanization aggravate the severity of COVID-19, while education, temperature, and religious diversity mitigate the impact of the pandemic on morbidity and mortality. …”
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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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