Identification of a PANoptosis-related long noncoding rna risk signature for prognosis and immunology in colon adenocarcinoma by Yuekai Cui, Jie Mei, Shengsheng Zhao, Bingzi Zhu, Jianhua Lu, Hongzheng Li, Binglong Bai, Weijian Sun, Wenyu Jin, Xueqiong Zhu, Shangrui Rao, Yongdong Yi

“…Long noncoding RNAs (lncRNAs) play crucial roles in PCD. However, the predictive value of PANoptosis-related lncRNAs (PRlncRNAs) for colon adenocarcinoma (COAD) has not been established. …”
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Transfer matrix simulation of hard-core lattice gases on triangular lattice with up to third-neighbour exclusion by A. V. Myshlyavtsev, M. D. Myshlyavtseva

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Petersen-star networks modeled by optical transpose interconnection system by Jung-hyun Seo, HyeongOk Lee

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Computational thinking skills in mathematics: A study of social arithmetic by Budi Mulyono, Hapizah, Dian Cahyawati Sukanda

“…Despite its significance, the integration of CT in mathematics education, particularly in secondary school curricula, remains insufficiently explored, leading to a gap in understanding students' proficiency in CT skills. …”
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The financial security management model in second-tier banks by A. Z. Nurmagambetova, S. Z. Nurmagambetov, A. G. Mukusheva

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Improved method for a pedestrian detection model based on YOLO by Yanfei LI, Chengyi DONG

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ESLC-YOLOv8: Advancing real-time pineapple recognition with lightweight deep learning by Weihua Shen, Mengyao Dong, Zhaoxin Zhang, Xiaying Hao, Yuzhen Su, Zhong Xue

“…This study introduces an enhanced object detection algorithm, EIEStem-v7DS'Sample-LSCD-CA-YOLOv8n (ESLC-YOLOv8), designed for real-time pineapple detection in complex agricultural environments. …”
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Co-drivers of air pollutant and CO2 emissions in China from 2000 to 2020 by Wenxin Cao, Yixuan Zheng, Shaohui Zhang, Zbigniew Klimont, Xian’en Wang, Fangming Jiang, Zhulin Qi, Chuchu Chen, Yueyi Feng, Zechen Zhang, Hongkuan Zang, Yu Lei, Gang Yan

“…Energy and climate policies, particularly those focused on structural adjustments, are increasingly instrumental in driving pollution-carbon co-reduction. Compared to the earlier period, the fractional contribution of energy and climate policies to emission reductions of SO2, NO x , PM2.5, and CO2 increased by 1.3-8.6 times during 2010-2020, respectively. …”
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Hydropower system in the Yarlung-Tsangpo Grand Canyon can mitigate flood disasters caused by climate change by Fengbo Zhang, Qin Yang, Jianhua Wang, Huan Liu, Qinghui Zeng, Long Yan, Baolong Zhao, Jiaxuan Tang, Kang Zhao, Yining Zang, Wei Liu, Peng Hu

“…Hydropower development stabilizes runoff regimes, enhances flood control capacity under climate scenarios (e.g., 29.2% peak reduction under Shared Socioeconomic Pathway 126), and mitigates downstream flood risks while supporting dry-season irrigation and navigation. …”
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Addressing Spatial Variability in Estimating Cover Management Factor of Soil Erosion Models using Geoinformatics: A Case Study of Netravati Catchment, Karnataka, India by Waleed Makhdumi, Shwetha H. R., G. S. Dwarakish, Jagadeesha B. Pai

“…To address this, a high-resolution Land Use Land Cover (LULC) map was generated using the Random Forest algorithm and in situ C factor values were assigned to LULC classes. …”
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Presenting a multi-objective mathematical model with an integrated approach to scheduling and financial flow in production projects using NSGA-II by Sajad Janbaz, Seyed Mohammadreza Davoodi, Abdolmajid Abdolbaghi Ataabadi

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Reliable Evolutionary Field Optimization-Based Energy Management Strategy for Mitigating Hydrogen Consumption of Hybrid Generation System by Shahr Alshahr, Ahmed Fathy, Ahmed Alshahir, Hossam Hassan Ali

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Tennis action recognition and evaluation with inertial measurement unit and SVM by Jinxia Gao, Guodong Zhang

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Bi-uncertainty Network Frame Planning Method for Distribution Network with Electric Vehicles by Yiting SHEN, Jing ZHANG, Peng WU, Lu LIU, Jianlin YANG

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Optimizing PID controller parameters in wind energy conversion systems using a metaheuristic technique that relies the Integrated Time Absolute Error (ITAE) by Mrabet Najoua, Benzazah Chirine, El Akkary Ahmed, Chakib Mohssine, Lahlouh Ilyas

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Research on soybean leaf disease recognition in natural environment based on improved Yolov8 by Chen Chen, Chen Chen, Xiaolei Lu, Lei He, Lei He, Ruoxue Xu, Ruoxue Xu, Yi Yang, Yi Yang, Jing Qiu, Jing Qiu

“…Experimental results demonstrate that YOLOv8-DML achieves a mAP50 of 96.9%, marking a 1.8% improvement over the original YOLOv8 algorithm, while also achieving an 18.6% reduction in parameters. …”
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Primary health care data-based early warning system for dengue outbreaks: a nationwide case study in BrazilResearch in context by Rejane Santos-Silva, Pilar Tavares Veras Florentino, Thiago Cerqueira-Silva, Vinicius de Araújo Oliveira, Juracy Bertoldo Junior, George C.G. Barbosa, Gerson O. Penna, Viviane S. Boaventura, Pablo I. Pereira Ramos, Manoel Barral-Netto, Izabel Marcilio

“…We assessed EWS timeliness, sensitivity, and positive predictive value (PPV) against fixed-incidence dengue outbreak thresholds. …”
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Improving accessibility to radiotherapy services in Cali, Colombia: cross-sectional equity analyses using open data and big data travel times from 2020 by Luis Gabriel Cuervo, Carmen Juliana Villamizar, Daniel Cuervo, Pablo Zapata, Maria B. Ospina, Sara Marcela Valencia, Alfredo Polo, Ángela Suárez, Maria O. Bula, J. Jaime Miranda, Gynna Millan, Diana Elizabeth Cuervo, Nancy J. Owens, Felipe Piquero, Janet Hatcher-Roberts, Gabriel Dario Paredes, María Fernanda Navarro, Ingrid Liliana Minotta, Carmen Palta, Eliana Martínez-Herrera, Ciro Jaramillo, on behalf of the AMORE Project Collaboration

“…We predict that strategically adding sufficient services in 1–2 locations in eastern Cali would notably enhance accessibility and reduce inequities. …”
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Computational scheme for the numerical solution of fractional order pantograph delay-integro-differential equations via the Bernstein approach by E. Aourir, H. Laeli Dastjerdi, Kamal Shah, Thabet Abdeljawad

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High-Precision Indoor Visible Light Positioning Using Deep Neural Network Based on the Bayesian Regularization With Sparse Training Point by Haiqi Zhang, Jiahe Cui, Lihui Feng, Aiying Yang, Huichao Lv, Bo Lin, Heqing Huang

“…In addition, the training time and positioning time are only 11.25 and 8.66 ms due to a significant reduction of the sparse training data. All of the aforementioned experimental results show that the algorithm and training data optimization we proposed provide a new solution for real-time and high-accuracy positioning with the neural network.…”
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