Vaccination compliance of selected childhood immunization programs and the socio-determinant factors in Nigeria by Oluyemi A Okunlola, Olawunmi R Oyerinde, Imisioluwa D Fashina, Oyetunde T Oyeyemi

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FTRNet: triplet fusion temporal relationship network for change detection in bitemporal remote sensing images by Wei Wu, Tong Li, Qi Xuan, QiMing Wan, Zuohui Chen

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Key frame extraction based abnormal vehicle identification technique using statistical distribution analysis by M. A. Y. Peer Mohamed Appa, V. Vanitha, Priti Rishi, Shrddha Sagar, M. Asha Paul

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Comprehensive Toughness Dataset of Nuclear Reactor Structural Materials using Charpy V-Notch Impact Testing by Isshu Lee, John W. Merickel, Yugandhar Kasala Sreenivasulu, Fei Xu, Yalei Tang, Joshua E. Rittenhouse, Aleksandar Vakanski, Rongjie Song

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Pancreatic cancer detection through semantic segmentation of CT images: a short review by Chiranjeevi Karri, João Santinha, Nikolaos Papanikolaou, Santosh Kumar Gottapu, Manohar Vuppula, P. M. K. Prasad

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Intelligent Price Optimization in Smart Distribution Networks: A Risk-Sensitive Cheetah Hunter Optimization Algorithm for Distribution Locational Marginal Price Assessment by Seyed Amir Mohammad Lahaghi, Ehsan Azad-Farsani

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SP-RF-ARIMA: A sparse random forest and ARIMA hybrid model for electric load forecasting by Kamran Hassanpouri Baesmat, Farhad Shokoohi, Zeinab Farrokhi

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EEG Emotion Recognition Using AttGraph: A Multi-Dimensional Attention-Based Dynamic Graph Convolutional Network by Shuai Zhang, Chengxi Chu, Xin Zhang, Xiu Zhang

“…The model delves into the impact of different EEG features on emotion recognition by evaluating their sensitivity to emotional changes, providing richer and more accurate feature information. …”
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A gradient-descent-like learning-based framework in surrogate-assisted evolutionary algorithms for expensive many-objective optimization by Chaoyi Sun, Bo Zhang, Hai Sun, Rui Feng

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Automatic Meniscus Segmentation Using YOLO-Based Deep Learning Models with Ensemble Methods in Knee MRI Images by Mehmet Ali Şimşek, Ahmet Sertbaş, Hadi Sasani, Yaşar Mahsut Dinçel

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A general modeling and simulation framework for dynamic vehicle routing by Markó Horváth, Tímea Tamási

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An AHP-Based Assessment of the Relative Importance of Risk Factors in Project Management: Designing a Bid Preparation Checklist by Liang-Sheng Hsiao, Chi-Jan Huang, Hsiang-Te Liu, I-Long Lin

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Load and Energy Consumption Analysis of Rope Winches Used in Mining Rail Transport by Krzysztof Krauze, Ryszard Klempka, Kamil Mucha, Tomasz Wydro

“…While manufacturers typically provide structural, kinematic, and power-related specifications, the user must evaluate whether a given winch can operate efficiently within the energy constraints imposed by specific site conditions. …”
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3D modeling to predict vascular involvement in resectable pancreatic adenocarcinoma by Sguinzi R, Vidal J, Poroes F, Bartolucci DA, Litchinko A, Gossin E, Fingerhut A, Toso C, Buhler L, Egger B

“…Tumor extension was also more accurately evaluated by 3D modeling than by 2D-CT (p < 0.05). …”
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Population-based systematic enrolment of individuals ensures high lung cancer screening uptake by Tanel Laisaar, Kadi Kallavus, Anneli Poola, Mari Räppo, Merily Taur, Vahur Makke, Marianna Frik, Pilvi Ilves, Kaja-Triin Laisaar

“…In each participating practice, all 55- to 74-year-old individuals were identified and evaluated by the family physician or nurse. Two LCS inclusion criteria were used in parallel – individuals with elevated lung cancer (LC) risk, according to either smoking status (≥20 pack-years; quit <15 years ago) and/or a PLCOm2012noRace risk score (>1.5 %/6 years), underwent low-dose computed tomography (LDCT). …”
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Optimizing Rotary Cement Kiln modelling: A comparative analysis of metaheuristics in a real-world application by Miguel Ángel Castán-Lascorz, Antonio Alcaide-Moreno, Jorge Arroyo

“…To address these challenges, this work evaluates the performance of five state-of-the-art metaheuristics and examines the impact of two penalty methods, death and static, on solution quality, constrained by a limited number of model evaluations due to time constraints. …”
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Predictor for Ureteral Stent Removal in Gynecological Cancer Patients with a Ureteral Obstruction by Sung Hyun Ji, Young Kwon Hong, Young Dong Yu, Seung-Ryeol Lee

“…The hydronephrosis changes on abdominal CT were also evaluated. Results Among 121 patients, 74 with 81 obstructed ureters were evaluated. …”
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Deep learning and georeferenced RGB-D imaging for hydroponic strawberry yield mapping by Camilo Pardo-Beainy, Carlos Parra, Leonardo Solaque, Won Suk Lee

“…Furthermore, in the fruit counting process - evaluated against manual counts - the same model achieved a R2 of 0.9997 and a mean relative error (MRE) of 1.5511%. …”
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“Hydroethanol extract and triterpenoids of Senegalia ataxacantha show antiplasmodial activity and the compounds are predicted to inhibit parasite lactate dehydrogenase (pfLDH) as i... by Kennedy Ameyaw Baah, Akwasi Acheampong, Isaac Kingsley Amponsah, Silas Adjei, Yakubu Jibira, Reinhard Isaac Nketia, Linda Mensah Sarpong, Emmanuel Quaye Kontoh

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Chitinase 3-like protein 1: a diagnostic biomarker for early liver fibrosis in autoimmune liver diseases by Shafei Liu, Conggao Peng, Conggao Peng, Shijia Xia, Chaonan Li, Xiahong Dai, Xiahong Dai, Xingyu Liu, Meng Zhang, Xiaoping Li, Lingling Tang, Lingling Tang

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