Effects of Material Rheology and Die Walls Translational Motions on the Dynamics of Viscous Flow during Equal Channel Angular Extrusion through a Segal 2θ-Die: CFD 2D Solution of a... by Alexander V. Perig, Nikolai N. Golodenko

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Prognostic predictions in psychosis: exploring the complementary role of machine learning models by Metten Somers, Hugo G Schnack, Rene S Kahn, Diane F van Rappard, Frank L Gerritse, Edwin van Dellen, Violet van Dee, Seyed M Kia, Caterina Fregosi, Wilma E Swildens, Anne Alkema, Albert Batalla, Coen van den Berg, Danko Coric, Lotte G Dijkstra, Arthur van den Doel, Livia S Dominicus, John Enterman, Marte Z van der Horst, Fedor van Houwelingen, Charlotte S Koch, Lisanne E M Koomen, Marjan Kromkamp, Michelle Lancee, Brian E Mouthaan, Eline J Regeer, Raymond W J Salet, Jorgen Straalman, Marjolein H T de Vette, Judith Voogt, Inge Winter-van Rossum, Wiepke Cahn

“…Integrating predictions from both sources may help reduce individual biases and improve accuracy. …”
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Inverse Analysis of Thermal Parameters of Arch Dam Concrete Based on Walrus Optimization Algorithm by Youle Wang, Zhengjian Miao, Rui Song, Junchi Zhou, Yuheng Pan, Feng Wang

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ENHANCEMENT OF SENSOR PANEL TACTILE TOUCH INTERFACE by Oleksandr Karpin, Zinovii Liubun, Vasyl Mandziy, Oleh Tereshchuk, Nestor Hotsiy

“…The proposed classification algorithm exhibits satisfactory accuracy in identifying the two signals within a minimal timeframe and requires minimal computational resources. Therefore, it can be employed cost-effectively to enhance the functionality of touch panels. …”
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Cellulose Nanofibril-Based Triboelectric Nanogenerators Enhanced by Isoreticular Metal-Organic Frameworks for Long-Term Motion Monitoring by Mingli Shang, Yan Zong, Xiujun Zhang

“…In this study, we explore the use of isoreticular metal-organic frameworks (IRMOF) as functional filler to improve the performance of CNF based TENGs. …”
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Application of deep learning for diagnosis of shoulder diseases in older adults: a narrative review by Sung Min Rhee

“…Shoulder diseases pose a significant health challenge for older adults, often causing pain, functional decline, and decreased independence. This narrative review explores how deep learning (DL) can address diagnostic challenges by automating tasks such as image segmentation, disease detection, and motion analysis. …”
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Identity-Based Provable Data Possession with Designated Verifier from Lattices for Cloud Computing by Mengdi Zhao, Huiyan Chen

“…Compared to existing lattice-based PDP schemes, the proposed scheme introduces additional overhead due to the designated verifier mechanism; however, it achieves a well-balanced optimization among functionality, security, and efficiency.…”
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Organizational citizenship behaviour relationship on challenge stress, hindrance stress and turnover intention in hotel industry employees in Java island by Kumala Hasta Prasetio, Hidajat Hendarsjah

“…A quantitative approach was utilized, involving 220 hotel employees from various regions in Java. …”
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SPC25 as a prognostic and immune-related biomarker in lung adenocarcinoma by Pan Liu, Lili Wang, Sining Xing, Song Zhao, Huiying Yu

“…SPC25 has a significant role in the occurrence and development of malignant tumors, but its role in lung adenocarcinoma has not been established. This study utilizes the TCGA database and centrosome assembly checkpoint specialized resources to explore the molecular mechanisms of lung adenocarcinoma and its interaction with the immune system. …”
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Glutathione S-transferase in mediating adaptive responses of oats (Avena sativa) to osmotic and cadmium stress: genome-wide analysis by Chenbiao Xu, Lyu Jiang, Aixue Li, Jie Meng, Ping Yun, Jianfang Li, Changbin Liu, Yang Chen, Han Zhang, Hassan Ahmed Ibraheem Ahmed, Quan Gao, Lana Shabala, Sergey Shabala, Bin Luo, Peichen Hou

“…In the face of abiotic stresses such as drought and heavy metal exposure, plants utilize GSTs for detoxification and antioxidant defense, as these enzymes facilitate the conjugation of glutathione (GSH) with toxic compounds. …”
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ScreenSafeFuture: A parent-empathetic and pragmatic mhealth application for toddlers' brain development addressing screen-addiction challenges by Nafisa Anjum, Md. Mehedi Hasan, Syeda Umme Salma, Liang Zhao, Maria Valero de Clemente, Nazmus Sakib

“…Final milestone will analyse changes in parental knowledge, shifts in parental attitudes, and increased awareness of resources. These development phases will utilize the Delphi panel consensus for a more reliable and robust outcome, ensuring its effectiveness in addressing screen addiction challenges and supporting younger generations' healthy development.…”
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Genomic and transcriptomic insights into vertebrate host-specific Lactobacillus johnsonii adaptation in the gastrointestinal tract by Keerthikka Ravi, Nicole R. Falkowski, Gary B. Huffnagle

“…However, human isolates did not form a distinct clade. Functional enrichment analysis revealed significant enrichment of several genes, including surface proteins and accessory secretory pathway-related genes, as well as tyrosine decarboxylase genes in rodent isolates compared to avian isolates, including in mouse isolate MR1. …”
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Tensile Resistance and Fracture Mechanisms of Silica Aerogels Reinforced by Nanotube–Graphene Hybrid Networks by Lin Guo, Mu Du, Jiaqian Li, Wei Li, Mingyang Yang, Gongming Xin

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A Hybrid Mangrove Identification Method by Combining the Time-Frequency Threshold of the Mangrove Index With a Random Forest Binary Classifier by Zhuokai Jian, Bin Ai, Jiali Zeng, Yuchao Sun

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De Novo assembly and phylogenetic analysis of the complete mitochondrial genome of Eleutherococcus senticosus and related araliaceous species by Zhihua Wang, Huizhi Wang, Xun Gong, Xiaobin Ou, Yinglu Guo, Min Tang

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The Design of Food Safety Management System (FSMS) Plan for Rice Fortification Kernel (RFK) Factory – A Case Study by T. Khatun, M. Asaduzzaman

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Routing algorithm for heterogeneous computing force requests based on computing first network by ZHANG Gang, LI Xi

“…By constructing a solution matrix and utilizing evaluation functions, random selection of feasible solutions, and the principle of low demand priority avoidance, a set of feasible solution sets was ultimately found. …”
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Construction and Completion of the Knowledge Graph for Cow Estrus with the Association Rule Mining by Zhiwei Cheng, Luyu Ding, Cheng Peng, Helong Yu, Baozhu Yang, Ligen Yu, Qifeng Li

“…To uncover potential relationships within the graph, we applied and compared two association rule algorithms: FP-Growth and Apriori. We utilized Boolean functions derived from association rule learning to validate the ability of the rules to identify normal estrus. …”
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Stem cell therapy use in patients with dementia: a systematic review by Olivier Uwishema, Malak Ghezzawi, Magda Wojtara, Ignatius N Esene, Kehinde Obamiro

“…The application of SCT aims to restore cognitive functioning in people living with dementia. Beyond pre-clinical studies, several clinical trials have evaluated specific stem cell (SC) types for their efficacy in treating dementia. …”
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AKR1B10 as a novel prognostic biomarker linking methylation and immune escape in hepatocellular carcinoma by Muhammad Naveed Khan, Mao Binli, Hu Juan, Shi Mengjia, Wang Shunyao, Xiaosong Li

“…The diagnostic and prognostic significance of AKR1B10 in LIHC was assessed using data from ROC analysis and KM-plotter. Functional analyses were performed utilizing the GeneMANIA and STRING databases, along with gene-gene and PPI networks, GO terms, and KEGG pathway analyses. …”
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