Epidemiology and hospitalization costs of chronic kidney disease in Romania by Ildiko Aliz Bradacs, László-István Bába, László Lorenzovici, Andreea Mihaela Precup, Szabolcs Farkas- Ráduly, Gyongyi Tar, Vasile Nastase, Lucia Georgeta Daina, Raul Bozu, Gyula Jozsef Nagy, Dimitrie Cristian Siriopol, Dorel Sandesc, Ovidiu Horea Bedreag, Florin Buicu, Gabriel Mircescu, Gener Ismail

“…Abstract Background Chronic kidney disease or chronic renal failure is a progressive condition defined as abnormalities of kidney structure or function, present for longer than 3 months. It is estimated to affect more than 10% of the general population worldwide. …”
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Fusion of RetinaFace and improved FaceNet for individual cow identification in natural scenes by Lingling Yang, Xingshi Xu, Jizheng Zhao, Huaibo Song

“…FaceNet's core feature network was enhanced through MobileNet integration, and the loss function was jointly optimized with Cross Entropy Loss and Triplet Loss to achieve a quicker and more stable convergence curve. …”
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Ionospheric Correction Based on Ingestion of Global Ionospheric Maps into the NeQuick 2 Model by Xiao Yu, Chengli She, Weimin Zhen, Nava Bruno, Dun Liu, Xinan Yue, Ming Ou, Jisheng Xu

“…The accuracy of TEC prediction can be improved further through performing a four-coefficient function expression of Az versus MODIP. As more measurements from earlier days are involved in the Az optimization procedure, the accuracy may decrease. …”
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Modulation of network excitability by persistent activity: how working memory affects the response to incoming stimuli. by Elisa M Tartaglia, Nicolas Brunel, Gianluigi Mongillo

“…Neurons more active will be more excitable, and thus more responsive to external inputs. …”
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How to map soil organic carbon stocks at field scale in South Africa? by Willie Herman Cloete, Gerhard du Preez, George Munnik Van Zijl

“…For dry bulk density (ρb), a pedo-transfer function was created for predicting the ρb at unsampled locations. …”
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Influence of Interleukin-8 and Neutrophil Extracellular Trap (NET) Formation in the Tumor Microenvironment: Is There a Pathogenic Role? by Manuela Gonzalez-Aparicio, Carlos Alfaro

“…The formation of NETs has a relevant role in the inhibition of the immune response against the tumor generated by neutrophils and in turn favoring the processes involved in the development of tumor metastasis. …”
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A Study on the Coarse-to-Fine Error Decomposition and Compensation Method of Free-Form Surface Machining by Yueping Chen, Junchao Wang, Qingchun Tang, Jie Li

“…The simulation and analysis results of the design show that the method has a more ideal processing error decomposition ability and can decompose the systematic error contained in the processing error in a more complete way. …”
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Cumulative versus Gravity-based Accessibility Measures: Which One to Use? by Manuel Santana Palacios, Ahmed El-geneidy

“…Using data on commute patterns and public transport schedules from Montreal, Canada, we find cumulative opportunities-based measures estimated at the mean transit commute time and gravity-based measures generated through various decay functions are highly correlated -- all above 0.9. …”
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Accurate and Robust Stellar Rotation Periods Catalog for 82771 Kepler Stars Using Deep Learning by Ilay Kamai, Hagai B. Perets

“…We train LightPred on self-supervised contrastive pretraining and simulated light curves generated using a realistic spot model. Our evaluation demonstrates that LightPred outperforms classical methods like the autocorrelation function in terms of accuracy and average error. …”
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Comparative Analysis of Electrostatic Charging Characteristics Considering the Flow Conditions of Nonconductive Flammable Liquids by Junghwan Byeon, Hyeongon Park, Woong Ko

“…Electrostatic is generated through friction or contact between certain materials—a process that frequently occurs in industries such as manufacturing, logistics, electronics, chemicals, petroleum, and gas. …”
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Mobile Robot Path Planning Considering Obstacle Gap Features by Hongwei Wang, Li He, Shuai Zhang, Ruoyang Bai, Yunhang Wang

“…Specifically, this method addresses the issues of low search efficiency, excessive redundant points, and poor path quality in the traditional A* algorithm for global path planning by extracting gap grids in the global grid map and incorporating their influence into the heuristic function, thereby guiding the search more effectively. …”
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Forward Computational Modeling of Respiratory Airflow by Emmanuel A. Akor, Bing Han, Mingchao Cai, Ching-Long Lin, David W. Kaczka

“…CFD allows for new hypotheses to be tested in silico, and detailed results generated without performing expensive experimental procedures that could be potentially harmful to patients. …”
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Research progress on energy metabolism regulation in stored platelets by GAO Chengyan, LOU Can, LEI Hang, CAI Xiaohong

“…In the resting state, platelets primarily rely on glycolysis and aerobic oxidation to generate energy. Upon activation, platelets preferentially utilize glycolysis, as it can more rapidly provide the required ATP. …”
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AI-powered literature search: some observations and concerns by Farooq Azam Rathore, Fareeha Farooq

“…A brief overview of some tools that perform these functions is mentioned in Table I. However, in our role as physicians, faculty and researchers who have been using these tools for more than a year for various tasks including AI-powered literature search we have some concerns that need to be highlighted Recommending articles from the predatory journals We have noticed that some of the articles that these tools recommend are from predatory journals. …”
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Elaborating Strategies of Sustainable Development at Industrial Enterprises by T. A. Shipilova

“…This strategy is a key element of successful running of business in current circumstances, where requirements to sustainability and responsibility to the environment are becoming more and more important. The research found the link between the rate of industry sustainability and provision of sustainable development of enterprises in different industries. …”
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Extracellular vesicle-mediated bidirectional communication between the liver and other organs: mechanistic exploration and prospects for clinical applications by Wenhui Mo, Yunke Peng, Yanyi Zheng, Shenglan Zhao, Liling Deng, Xiaoli Fan

“…Conversely, molecules generated by organs such as bone, the gut, and adipose tissue can also impact liver function. …”
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Hepatitis B virus genotypes A1 and A2 have distinct replication phenotypes due to polymorphisms in the HBx gene. by Min Zhang, Karim Mouzannar, Zhensheng Zhang, Yuji Teraoka, Jason Piotrowski, Yuji Ishida, Chise Tateno-Mukaidani, Takeshi Saito, Hiromi Abe-Chayama, Kazuaki Chayama, T Jake Liang

“…Using AlphaFold2, we generated structural models of HBx proteins of A1 and A2. …”
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Marek's disease virus-1 unique gene LORF1 is involved in viral replication and MDV-1/Md5-induced atrophy of the bursa of Fabricius. by Chenyi Bao, Jun Chu, Qi Gao, Shasha Yang, Xiaoyu Gao, Wenwen Chen, Fuchun Yang, Fei Jiang, Chenxi Tong, Mingyi Lei, Linlin Jiao, Jitong Li, Kexin Wei, Xue Lian, Kai Li, Suresh Kumar Tikoo, Nikolaus Osterrieder, Lorne A Babiuk, Yufeng Li, Yong-Sam Jung, Yingjuan Qian

“…Importantly, it also serves as a comparative model for studying herpesvirus-induced tumor formation in humans. MDV encodes more than 100 genes, most of which have unknown functions. …”
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A Skillful Prediction of Monsoon Intraseasonal Oscillation Using Deep Learning by K. M. Anirudh, Prasang Raj, S. Sandeep, Hariprasad Kodamana, C. T. Sabeerali

“…The long time series of MISO1 and MISO2 indices generated from this analysis were then used to forecast future values using a transformer‐based deep learning model. …”
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Computation strategies and clinical applications in neoantigen discovery towards precision cancer immunotherapy by Zhenchang Wang, Yu Gu, Xiao Sun, Hao Huang

“…Previous studies have demonstrated their capacity to mediate tumor-specific immune responses in targeting and eliminating tumor cells while preserving normal cellular function. Driven by advancements in high-throughput sequencing technologies, mass spectrometry, and artificial intelligence, researchers have developed a growing interest in establishing more accurate neoantigen prediction algorithms. …”
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