Structural Optimization of a Gas Distributor of Vertical Adsorption Tower Based on CFD by Bingchao GUO, Yongfei YAN, Cunlei LI, Yiwan NING, Feng GU

“…Results were assessed based on velocity vector smoothness and curve uniformity. A single sieve plate resulted in non⁃uniform airflow concentrated at the tower center. …”
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Knowledge management model based on organizational and motivational mechanisms by M. A. Molodchik, I. A. Esaulova, A. V. Molodchik

“…The paper presents the knowledge management model based on the vector of proactive employee behavior, which is formed with the help of organizational and motivational mechanisms, including flexible organizational structure, transformational leadership, and a culture of knowledge. …”
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iTAGPred: A Two-Level Prediction Model for Identification of Angiogenesis and Tumor Angiogenesis Biomarkers by Khalid Allehaibi, Yaser Daanial Khan, Sher Afzal Khan

“…A crucial biological process called angiogenesis plays a vital role in migration, growth, and wound healing of endothelial cells and other processes that are controlled by chemical signals. …”
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A Comparative Study of Machine Learning Techniques for Cell Annotation of scRNA-Seq Data by Shahid Ahmad Wani, SMK Quadri, Mohammad Shuaib Mir, Yonis Gulzar

“…Accurate cell type annotation is a critical step in single-cell RNA sequencing (scRNA-seq) analysis, enabling deeper insights into cellular heterogeneity and biological processes. In this study, we conducted a comprehensive comparative evaluation of various machine learning techniques, including support vector machine (SVM), decision tree, random forest, logistic regression, gradient boosting, k-nearest neighbour, transformer, and naive Bayes, to determine their effectiveness for single-cell annotation. …”
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Application of Machine Learning Models in Social Sciences: Managing Nonlinear Relationships by Theodoros Kyriazos, Mary Poga

“…Nonlinear relationships are central to understanding social behaviors, socioeconomic factors, and psychological processes. Machine learning models, including decision trees, neural networks, random forests, and support vector machines, provide a flexible framework for capturing these intricate patterns. …”
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Predicting transmembrane helix packing arrangements using residue contacts and a force-directed algorithm. by Timothy Nugent, David T Jones

“…Using molecular dynamics data, we have trained and cross-validated a support vector machine (SVM) classifier to predict per residue lipid exposure with 69% accuracy. …”
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National Innovation System of Israel at the Beginning of the 21st Century by I. G. Korotkov

“…Difficult geopolitical circumstances and natural resources scarcity laid down the vector of science and technology development of Israel. …”
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Transient oxidation of hazes a source of nutrients during the great oxidation event by L. Maratrat, A. Y. Jaziri, M. Millan, V. Moulay, L. Vettier, T. Govekar, A. Abello, N. Carrasco

“…Such mechanisms could also have diversified the pool of available nutrients, constituting an interesting vector of biodiversity for the primitive ecosystem.…”
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Identification of genes in response to cucurbit aphid-borne yellows virus infection in melon by YANG Siyu, GONG Zihui, HU Zhongyuan, ZHANG Mingfang, YANG Jinghua

“…In this study, we used the CABYV infectious cloning vector to inoculate the melon XZM, and the disease identification and transcriptome analysis in the melon XZM after CABYV inoculation were performed at 0 dpi (days post inoculation), 5 dpi, 10 dpi, 15 dpi and 20 dpi. …”
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A framework based on mechanistic modelling and machine learning for soil moisture estimation by Sabri Kanzari, Sana Ben Mariem, Samir Ghannem, Safouane Mouelhi, Hiba Ghazouani, Bechir Ben Nouna

“…These values were used as inputs to the Hydrus 1D model to generate soil water content profiles over a 27-year period. 109 profiles were calculated using machine learning algorithms (regression trees; random forest; support vector machine) to predict soil moisture content from daily values of rainfall and evaporation. …”
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Performance of TF-IDF for Text Classification Reviews on Google Play Store: Shopee by Najwa Umaira Che Mohd Safawi, Nur Amalina Shafie

“…The methodology entails pre-processing the text data by applying a text normalization procedure that includes several processes, such as eliminating stop words, Unicode characters, and lemmatizing. …”
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Hyperlocal marketing: conceptual representation status, technological foundations and directions of development. by E. V. Griva, A. A. Sidorov

“…Within the framework of the defined vector, both the technological prerequisites and requirements of this tool for ensuring the basic process in the field of offline retailing are considered, and an empirical basis for the inductive-deductive analysis of the subject field for the formation of patterns of consumer behaviour management and optimisation of the marketing policy of business agents is formed. …”
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Can the Mosquito Bite? The Multispecies Transmutation of Wolbachia Mosquitoes as Biotechnologies of Epidemic Control in Rio de Janeiro by Luísa Reis Castro

“…While public health campaigns have historically focused on eliminating this vector species, a project in Rio de Janeiro, Brazil, proposes to release A. aegypti carrying the intracellular bacterium Wolbachia. …”
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SmartCardio: Advancing cardiac risk prediction through Internet of Things and edge cloud intelligence by S. Durga, Esther Daniel, J. Andrew, Radhakrishna Bhat

“…It consists of two main phases: data acquisition, where sensors measure heart rate, temperature, and blood pressure, and data processing, where the edge cloud processes the data using Haar Wavelet transform, Convolutional Neural Network (CNN), and transfer learning. …”
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Capturing the Complex: An Intraindividual Temporal Network Analysis of Learning Resource Regulation by Bettina Harder, Nick Naujoks-Schober, Manuel D. S. Hopp

“…Specifically, using a Graphical Vector Autoregressive (graphicalVAR) model, yielding a contemporaneous and a temporal dynamics network model, we identified pivotal resources in regulating the student’s learning processes and outcomes, including resources with strong connections to other variables, intermediary resources, and resources maintaining the system’s homeostasis. …”
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Modern Approaches to Arctic Development in View of Synergy Potential in the New Risks and challenges Environment by N. N. Bondareva

“…The author of the study disclosed the organizational and methodological problems of Arctic management, assessed the limitations for the full-scale launch of synergistic management models.Conclusions and Relevance: the presented results of the analysis set the management vector for maximum synergistic activation of financial, logistical and intellectual resources to achieve sustainable, holistic and safe development of the Arctic. …”
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Optimized Midgut Tissue Dissociation of Mosquitoes and Sandflies for High-Quality Single-Cell RNA Sequencing by Ana Barletta, Octavio Talyuli, Pedro Cecilio, Carolina Barillas-Mury

“…We validated this methodology for three medically important insect vectors: Anopheles gambiae, Aedes aegypti, and Lutzomyia longipalpis. …”
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An Exploration of the Viral Coverage of Mosquito Viromes Using Meta-Viromic Sequencing: A Systematic Review and Meta-Analysis by Shenglin Chen, Yuan Fang, Ryosuke Fujita, Emad I. M. Khater, Yuanyuan Li, Wenya Wang, Peijun Qian, Lulu Huang, Zhaoyu Guo, Yi Zhang, Shizhu Li

“…In conclusion, the results of this study demonstrate that the viral coverage of mosquito viromes varies between mosquito genera and that pre-treatment of mosquito samples with saline buffer/medium and antibiotics before DNase/RNase treatment and removing host genomes prior to RNA library construction are critical for the detection of RNA viruses in mosquito vectors using meta-viromic sequencing.…”
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A model of the artificial metastasis of human epidermoid carcinoma A431 in nude mice for examination of the oncolytic activity of vaccinia virus by G. V. Kochneva, A. A. Grazhdantseva, G. F. Sivolobova, A. V. Tkacheva, A. N. Shvalov, A. Yu. Unusova, E. I. Ryabchikova, S. V. Netesov

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EXPERIMENTAL TRIAL OF USING THE SCIENTIFIC MULTIBEAM ECHOSOUNDER DESIGNED TO DETECT FISH IN A WILD FIELD OF VIEW by G. M. Abdurakhmanov, A. A. Teymurov, A. A. Gadzhiev, A. N. Dolgov, A. N. Kutsenko, M. A. Raskita, S. V. Tretyakov

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