Comparison of Various Feature Extractors and Classifiers in Wood Defect Detection by Kenan Kiliç, Kazım Kiliç, İbrahim Alper Doğru, Uğur Özcan

“…Detection of defects on wood during quality processes in the wood industry is extremely important both economically and in terms of production and use. …”
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The influence of cosmism on the development of social hope by Oleh Masiuk

“…The following obstacles to the development of hope such as the fate, fear and hope of man, which arise during rethinking the impact of cosmos on social processes, are described in the article. These obstacles are the means of determination the vectors of social perspectives. …”
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THE MODELING OF AIR SITUATION USING OBJECT-ORIENTED PROGRAMMING SYSTEM by О. N. Tel’puhovskaya

“…For the simulation of processes and systems the technology of simulation modeling is used. …”
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AI-powered analysis of ESG disclosure: a clustering approach to determinants and motivations by Ouissal El Aziz, Abdelkarim Asdiou

“…The selected articles were processed using an approach integrating artificial intelligence tools, in particular natural language processing (NLP) to ensure thematic and semantic analysis of the data, followed by clustering analysis based on TF-IDF vectorization to analyze the identified determinants. …”
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Generation of recombinant rabies virus ERA strain applied to virus tracking in cell infection by Dan-dan ZHAO, Lei SHUAI, Jin-ying GE, Jin-liang WANG, Zhi-yuan WEN, Ren-qiang LIU, Chong WANG, Xi-jun WANG, Zhi-gao BU

“…The N/mCherry expression showed genetic stability during passage into mouse neuroblastoma (NA) cells and did not change the virulence of the vector. The rERA-N/mCherry strain was then utilized as a visual viral model to study the RABV-cell binding and internalization. …”
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Rice seed integrity evaluation: Developing a rapid onsite system to check seed fraud using a portable NIR spectroscopic device coupled with smartphone technology by Ernest Teye, Charles Lloyd Yeboah Amuah, Vida Gyimah Boadu, Kwadwo Anokye Dompreh, Maxwell Darko Asante, Francis Padi Lamptey, Stephen Narh, Daniel Dzorkpe Gamenyah, George Oduro Nkansah, Selorm Akaba

“…Among the classification algorithms used, Random Forest (RF) achieved 100 % accuracy for rice seed identification and 97.38 % for paddy identification in the test sets. Support Vector Machine (SVM) demonstrated 98.15 % accuracy in distinguishing between rice seed and paddy for detecting seed fraud. …”
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Efficient CNN architecture with image sensing and algorithmic channeling for dataset harmonization by Khadija Kanwal, Khawaja Tehseen Ahmad, Aiza Shabir, Li Jing, Helena Garay, Luis Eduardo Prado Gonzalez, Hanen Karamti, Imran Ashraf

“…Abstract The process of image formulation uses semantic analysis to extract influential vectors from image components. …”
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Hyperspectral imaging as a non-destructive technique for estimating the nutritional value of food by Juan-Jesús Marín-Méndez, Paula Luri Esplandiú, Miriam Alonso-Santamaría, Berta Remirez-Moreno, Leyre Urtasun Del Castillo, Jaione Echavarri Dublán, Eva Almiron-Roig, María-José Sáiz-Abajo

“…Ten different models were screened (Multivariate Linear regression, Lasso regression, Rigde regression, Elastic Net regression, K-Neighbors regression, Decision trees regression, Partial Least Square, Support Vector Machines, Gradient Boosting regression and Random Forest regression). …”
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Forced distance learning at a Russian technical university: A comparative analysis of key challenges assessment by N. A. Lukianova, J. O. Okhorzina, T. V. Konyukhova, O. N. Kiselev

“…The implementation of the proposed recommendations for building a vector of readiness for remote work will reduce the negative socio-psychological impact of stressors and improve the quality of the educational process.…”
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Comparison of Multiple NIR Instruments for the Quantitative Evaluation of Grape Seed and Other Polyphenolic Extracts with High Chemical Similarities by Matyas Lukacs, Flora Vitalis, Adrienn Bardos, Judit Tormási, Krzysztof B. Bec, Justyna Grabska, Zoltan Gillay, Rita A. Tömösközi-Farkas, László Abrankó, Donatella Albanese, Francesca Malvano, Christian W. Huck, Zoltan Kovacs

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The Development of Enterprise Competencies in the Context of Digitalization by Serhiienko Olena A., Ippolitova Inna Yaroslavovna

“…It is found that the primary vectors of opportunities are the formation of new competencies, improvement of existing competencies, and support for new and traditional competencies of the enterprise. …”
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An Economical Open‐Source Lagrangian Drifter Design to Measure Deep Currents in Lakes by Lewis McCaffrey, Alexander L. Koeberle

“…Water‐following characteristics were tested using theoretical drag coefficient calculations, practical drag measurements, and comparison of wind and drifter vectors while deployed on two deep inland lakes (maximum area 175 km2) in the Finger Lakes region of New York, USA. …”
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CRISPR/Cas9 multiplex genome editing to enhance grain lysine concentration in a US rice cultivar by Khushboo Rastogi, Sumeet P. Mankar, Oneida Ibarra, Marco Molina-Risco, Mayra Faion-Molina, Marcela Bellinatti-Della Gracia, Keerti S. Rathore, Michael J. Thomson, Endang M. Septiningsih

“…A vector construct containing sgRNAs for the target genes was transformed into the U.S. elite rice variety Presidio using Agrobacterium-mediated transformation. …”
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Does machine learning outperform logistic regression in predicting individual tree mortality? by Aitor Vázquez-Veloso, Astor Toraño Caicoya, Felipe Bravo, Peter Biber, Enno Uhl, Hans Pretzsch

“…Tree mortality is a crucial process in forest dynamics and a key component of forest growth models and simulators. …”
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Syndrome of antibody-dependent enhancement of infection by A. A. Grishaeva, Zh. B. Ponezheva, M. I. Cherenova, O. V. Fedorova, Yu. A. Dobrokhotova, G. N. Khokhlov

“…Antibody-Dependent Enhancement is an alternative route for virus entry into the target cells. In this process, cross-reactive antiviral antibodies improve the access of the virus to cells through interaction with specific receptors (complement receptors and Fc receptor on the cell surface), which leads to worsening of the infection. …”
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Clinical, radiological, and radiomics feature-based explainable machine learning models for prediction of neurological deterioration and 90-day outcomes in mild intracerebral hemor... by Weixiong Zeng, Jiaying Chen, Linling Shen, Genghong Xia, Jiahui Xie, Shuqiong Zheng, Zilong He, Limei Deng, Yaya Guo, Jingjing Yang, Yijun Lv, Genggeng Qin, Weiguo Chen, Jia Yin, Qiheng Wu

“…In the validation set, the support vector machine (SVM) models achieved an AUC of 0.846 (95% confidence intervals (CI), 0.627-1.000) and an F1-score of 0.667 for predicting ND, and an AUC of 0.970 (95% CI, 0.928-1.000), and an F1-score of 0.846 for predicting 90-day prognosis. …”
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Decentralized Point-of-Care Manufacturing of CD19 Chimeric Antigen Receptor T Cells in Mexico by Rosario Salazar-Riojas, Dalila M. Alvarado-Navarro, Yair O. Chávez-Estrada, Ana K. Hernández-Navarro, Martha B. Ake-Uc, Nidia K. Moncada-Saucedo, José C. Jaime-Pérez, Sofía I. Quezada-Ramírez, Anna C. Rodriguez-Zuñiga, David Gómez-Almaguer, Andrés Gómez-De León

“…Clinical-grade CAR-T cell manufacturing was performed in a closed system using a second-generation CD19 vector with 41BB costimulatory domain. Quality control was assessed at different points in the production process with prespecified release criteria including product's aspect, sterility, cell viability, impurity, and quantity. …”
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Unveiling the intermediate hydrated proton in water through vibrational analysis on the 1750 cm−1 signature by Xuanye Yang, Yu Wu, Siyu Deng, Ling Liu, Hongwei Zhao, Yi Gao, Chungen Liu

“…Abstract Hydration of proton is the key to understand the acid-base chemistry and biochemical processes, for which the Zundel and Eigen cations have been recognized as the foundation. …”
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A SVR Learning Based Sensor Placement Approach for Nonlinear Spatially Distributed Systems by Xian-xia Zhang, Zhi-qiang Fu, Wei-lu Shan, Bing Wang, Tao Zou

“…Many industrial processes are inherently distributed in space and time and are called spatially distributed dynamical systems (SDDSs). …”
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MLAR-Net: A Multilevel Attention-Based ResNet Module for the Automated Recognition of Emotions Using Single-Channel EEG Signals by M. Maithri, U. Raghavendra, Anjan Gudigar, Samir Kumar Praharaj, Karthikeyan Sriram, Massimo Salvi, Chai Hong Yeong, Filippo Molinari, U. Rajendra Acharya

“…Our study identifies channel number 24 (T7) as the most effective for emotion classification, achieving an average accuracy of 98.06% using a cubic support vector machine and a maximum accuracy of 99.51% using fine K-Nearest Neighbors. …”
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