Analysis of Flood Disaster Risks in Jiangsu Province Based on Composite Factors by LU Wanying, SHAO Tingting, ZHAN Zhongyu, HUANG Suning, SUN Xingyi

“…Besides, the spatial distribution data of precipitation, geographic information data, and socio-economic data from 2012 to 2021 were used, and the analytic hierarchy process (AHP) and entropy weight method (EWM) were employed. …”
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Game and Application Purchasing Patterns on Steam using K-Means Algorithm by Salman Fauzan Fahri Aulia, Yana Aditia Gerhana, Eva Nurlatifah

“…Online games are visual games that utilize the internet or LAN networks. …”
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Sistem Informasi Persediaan Obat Pada PT Mega Esa Farma Dengan Metode Extreme Programming by Biktra Rudianto, Sheren Prisscilya

“…These obstacles result in slow data processing and delays in providing accurate information, ultimately hindering the efficiency of product sales and distribution. …”
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Barrier Inhomogeneity of Pt/GaN Junctions with a Low-Temperature ALD Grown ZnO Interlayer by Hogyoung Kim, Ye Bin Won, Byung Joon Choi

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Classification of Different Age Groups of People by Using Deep Learning by Bülent Turan, Özkan İnik

“…But it has been seen that training success has achieved a certainvalue with little data.…”
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SmilODB: a multi-omics database for the medicinal plant danshen (Salvia miltiorrhiza, Lamiaceae) by Yong-Hui Liu, Wen-Qiong Zeng, Si-Fan Tao, Yi-Nuo Du, Fei-Hong Yu, Zhe-Chen Qi, Dong-Feng Yang

“…Protein structures were predicted using the RoseTTAFold algorithm, and all data were visualized using interactive heat maps, line charts, and histograms.ResultsSmilODB includes: (i) two genome assemblies of S. miltiorrhiza, (ii) 48 tissue-specific transcriptome datasets from root, leaf, and other vegetative tissues, (iii) annotated biosynthetic pathways for bioactive compounds such as tanshinones and salvianolic acids, and (iv) 2,967 high-confidence protein models. …”
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A Multi-Stage Progressive Pansharpening Network Based on Detail Injection with Redundancy Reduction by Xincan Wen, Hongbing Ma, Liangliang Li

“…The effectiveness of the proposed model is further supported by experimental results using both simulated data and real data from the QuickBird, GaoFen1, and WorldView2 satellites; these results show that the proposed model outperforms deep-learning-based methods in both visual and quantitative assessments. …”
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Social vulnerability and Lyme disease incidence: a regional analysis of the United States, 2000-2014 by Dhitinut Ratnapradipa, Justin Tyler McDaniel, Alexandra Barger

“…QGIS was utilized to visually represent the data. Logarithmic OLS regression models were computed to determine the predictive power of the SoVI in LD incidence rates. …”
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Sleep Posture Recognition Method Based on Sparse Body Pressure Features by Changyun Li, Guoxin Ren, Zhibing Wang

“…Non-visual techniques for identifying sleep postures have become essential for enhancing sleep health. …”
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Validating a smart bed against polysomnography for sleep apnea detection by Farzad Siyahjani, Kostiantyn Kalenyk, Gary Garcia-Molina, Saeed Babaeizadeh

“…This study evaluates a novel algorithm, developed and trained by the authors, using ballistocardiography (BCG) data collected from a non-intrusive smart bed platform. …”
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Developing the adaptive materials based on learning style to increase student's conceptual understanding by Lukman Hakim, Patricia Hotma Minar Lubis, Wacharaporn Khaokhajorn

“…The data were then analyzed using descriptive analysis and N-gains. …”
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Protocol for designing, conducting, and analyzing event-related potentials in human participants by Celina Pütz, Mark Span, Monicque Lorist

“…Summary: Event-related potentials (ERPs), measured using electroencephalography (EEG), are electrical brain potentials related to specific events, such as the presentation of visual stimuli. In this protocol, we describe steps for designing an ERP experimental task, measuring EEG, preprocessing EEG data in MATLAB, and exporting ERP data for statistical analyses. …”
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Am I attached? A patient-partnered approach to creating infographics about attachment to primary care in Ontario, Canada by Maggie MacNeil, Aya Tagami, Peter Sheffield, Vivian R. Ramsden, Joan Barker, Jennifer Boyle, Clare Cruickshank, Eliot Frymire, Richard H. Glazier, Anita Gombos Hill, Michael E. Green, Mary Huang, Marijke Jurriaans, Caron Leid, Melissa McCallum, Sarah Precious, Jo-Ann Stans, Julie Vizza, Murray Walz, Sue Wilkins, Rebecca Ganann

“…In 2021, INSPIRE-PHC released Primary Care Data Reports - publicly available summaries of administrative billing data about how populations in each of Ontario’s 60 health teams use primary care services. …”
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CaeMmCom – Corpus altaegyptischer multimodaler Communication. Der Aufbau einer multimodalen Datensammlung altägyptischer Kommunikate by Rebecca Döhl, Silvia Kutscher, Jens-Martin Loebel

“…The focus is on the construction of a digital corpus, which collects data for graphic communication and develops methods to systematically describe, annotate and visualise texts, images, and text-image-compositions, as well as their spatial meaning. …”
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Transforming Retinal Photographs to Entropy Images in Deep Learning to Improve Automated Detection for Diabetic Retinopathy by Gen-Min Lin, Mei-Juan Chen, Chia-Hung Yeh, Yu-Yang Lin, Heng-Yu Kuo, Min-Hui Lin, Ming-Chin Chen, Shinfeng D. Lin, Ying Gao, Anran Ran, Carol Y. Cheung

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Micropulse Cyclophotocoagulation versus Ultrasound Cycloplasty in a Tertiary Eye Care Center in Riyadh, Saudi Arabia by Alasqah AA, Alonazi RH, Alamoudi SA, Alotaiby ND

“…At each visit, data was collected on intraocular pressure (IOP), corrected distance visual acuity (CDVA), medications and possible complications. …”
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Semantic segmentation of optical satellite images for the illegal construction detection using transfer learning by Yashasvi Mehta, Abdullah Baz, Shobhit K. Patel

“…Additionally, it performs well even with limited data, demonstrating robustness in diverse conditions. …”
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A Review of Degradation and Reliability Analysis of a Solar PV Module by Zafar Ullah Khan, Adnan Daud Khan, Khalid Khan, Soliman Abdul Karim Al Khatib, Shahbaz Khan, Muhammad Qasim Khan, Abid Ullah

“…Due to this, it is crucial to quickly and accurately identify and classify the degradation modes and mechanisms caused by manufacturing flaws and environmental factors in order to reduce the likelihood of failure and the risks that go along with it. Visual examination, EPM (Electrical-Parameter-Measurements), imaging techniques, and latest data-driven techniques have all been suggested and used in the literature to assess or describe the deterioration signatures and mechanisms/pathways of PV modules. …”
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Microlensing Events in Five Years of Photometry from the Zwicky Transient Facility by Ruocheng Zhai, Antonio C. Rodriguez, Shude Mao, Casey Y. Lam, Eric C. Bellm, Josiah Purdum, Frank J. Masci, Avery Wold

“…In the event selection, we use the efficient EventFinder algorithm to detect microlensing signals, which could be used for large data sets such as future ZTF data releases or data from the Rubin Observatory Legacy Survey of Space and Time. …”
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Prototyping a graph-based approach for efficient vehicle tracking in a cluster controlled CCTV surveillance systems by Apurva NARAYAN, Charumathi PARIVALLAL, Olirva MAHESWARAN, Sarath CHANDRAN KALATHILPARAMBIL RAMACHANDRAN

“…The architecture offers scalable and adaptive solutions, aiming to improve the traffic management and emergency response by providing actionable insights through seamless integration of visual, audio, and textual data. This innovation has the potential to set new benchmarks in the intelligent traffic surveillance systems, with significant implications for public safety and urban mobility. …”
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