Osteoplastic biomaterials from organic and mineral components of the bone matrix: a literature review by Pavel А. Markov, Petr S. Eremin, Elena S. Berezkina, Marina V. Volkova, Irina A. Usova, Ilmira R. Gilmutdinova

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Cross-Context Stress Detection: Evaluating Machine Learning Models on Heterogeneous Stress Scenarios Using EEG Signals by Omneya Attallah, Mona Mamdouh, Ahmad Al-Kabbany

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A Highly Birefringent and Nonlinear AsSe<inline-formula><tex-math notation="LaTeX">$_2$</tex-math></inline-formula>&#x2013;As<inline-formula><tex-math notation="LaTeX">$_2$</tex-ma... by Tianyu Yang, Can Ding, Y. Jay Guo

“…The proposed hybrid PCF exhibits excellent polarization maintaining and the nonlinearity performance, thus, suitable to be used in supercontinuum spectrum generation and polarization maintaining nonlinear signal processing.…”
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Comparative study on risk prediction model of type 2 diabetes based on machine learning theory: a cross-sectional study by Shu Wang, Shuang Wang, Rong Chen, Ling Luo, Qiaoli Zhang, Danli Kong, Rudai Cao, Chunwen Lin, Jialu Huang, Haibing Yu, Yuan Lin Ding

“…The comparison results of the six models showed that back propagation neural network model has the best prediction effect with 93.7% accuracy, 94.6% accuracy, 92.8% recall and the AUC value of 0.977, followed by logistic model, support vector machine model, CART decision tree model and C4.5 decision tree model. …”
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Assessing veterinary professionals’ perspectives on community knowledge, attitudes, and practices regarding dog rabies in Turkana, Kenya by Moumita Das, Moumita Das, María Sol Pérez Aguirreburualde, Job Ronoh Kipkemoi, Erenius Lochede Nakadio, Andres M. Perez, Andres M. Perez, Melinda Wilkins

“…The main reservoir and vector for human transmission of the disease is domestic dogs. …”
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Construction of a feature gene and machine prediction model for inflammatory bowel disease based on multichip joint analysis by Yan Chaosheng, Sun Haowen, Rao Jingjing, Dai Yuanyuan, Duan Wenhui, Sheng Yingyue, Xue Yuzheng

“…To select genetic features, we utilized three machine learning algorithms, namely, least absolute shrinkage and selection operator (LASSO), support vector machine (SVM), and random forest (RF), to identify differentially expressed genes. …”
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Predicting cardiotoxicity in drug development: A deep learning approach by Kaifeng Liu, Huizi Cui, Xiangyu Yu, Wannan Li, Weiwei Han

“…We used four types of molecular fingerprints and descriptors combined with machine learning and deep learning algorithms, including Gaussian naive Bayes (NB), random forest (RF), support vector machine (SVM), K-nearest neighbors (KNN), eXtreme gradient boosting (XGBoost), and Transformer models, to build predictive models. …”
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Kinematics of the Kashmir Himalaya: Inferences from geological and geodetic data by Ahsan Afzal Wani, Bikram Singh Bali, Sareer Ahmad Mir, Mohammad Irfan Wani

“…To quantify the vertical and horizontal deformation rates in the Kashmir Valley, we use GAMIT/GLOBK software to process the GPS data. The lateral motion data indicate that the Indian plate continues to move towards the Eurasian plate at a rate of 36–42 mm/yr, while the vertical vectors infer a transition zone across the Kashmir valley.Using ArcGIS, Iso-base and Iso-ketabase maps were generated from the GPS vertical vectors to study the vertical deformation status of the Kashmir Valley. …”
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A comprehensive investigation of morphological features responsible for cerebral aneurysm rupture using machine learning by Mostafa Zakeri, Amirhossein Atef, Mohammad Aziznia, Azadeh Jafari

“…Overall, the best model was Support Vector Machin with an accuracy and precision of 0.82, recall of 0.92 for the testing dataset and the area under curve of 0.84. …”
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Development of a machine learning prediction model for loss to follow-up in HIV care using routine electronic medical records in a low-resource setting by Tamrat Endebu, Girma Taye, Wakgari Deressa

“…Six supervised ML classifiers—J48 decision tree, random forest, K-nearest neighbors, support vector machine, logistic regression, and naïve Bayes—were utilized for training via Weka 3.8.6 software. …”
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A New Model of Emergency Supply Management for Swift Transition from Peacetime to Emergency Considering Demand Urgency and Supplier Evaluation by Jiaqi Fang, Lvjiangnan Ye, Wenli Zhou, Lihui Xiong

“…A fuzzy comprehensive assessment approach is applied to classify emergency materials based on demand urgency, identifying drinking water, rescue tools, medical supplies, and other critical items as priority resources. The evaluation vectors for these materials range from 0.1540 to 0.9909. …”
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Sequences in the Cytoplasmic Tail Contribute to the Intracellular Trafficking and the Cell Surface Localization of SARS-CoV-2 Spike Protein by Evgeniya E. Burkova, Irina A. Bakhno

“…Understanding these processes is necessary not only for the development of vaccines based on mRNA or adenovirus vectors encoding the full-length spike (S) protein, but also for the therapy of the new coronavirus infection (COVID-19).…”
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German Foreign Policy in the Face of Current Challenges by V. B. Belov

“…The priorities of the foreign policy based on the value approach remain the European and transatlantic vectors, as well as relations with the main system-forming international organizations. …”
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Classification of taxes and fees as a method of systematization of environmental taxation in the russian federation by L. S. Samodelko

“…Environmental taxation is an instrument of the state’s tax policy, remaining today one of the vectors of socio-economic development. However, the structural understanding of this mechanism in tax theory has not yet been formed. …”
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Jumping knowledge graph attention network for resource allocation in wireless cellular system by Qiushi Sun, Zhou Fang, Yin Li, Ovanes Petrosian

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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…Operational risk data were collected, pre-processed, and then used for predictions with machine learning models, including Random Forest (RF), Decision Tree (DT), Support Vector Machine (SVM), Logistic Regression (LR), Naïve Bayes (NB), and k-Nearest Neighbors (KNN). …”
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Versatile tethering system to control cell-specific targeting of bioengineered extracellular vesicles by Sheryl Bui, Jeanne Lainé, Maud Chevé, Stéphane Vassilopoulos, Gregory Lavieu

“…Abstract Extracellular Vesicles (EVs) are natural communication vectors involved in many physiological processes. …”
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Efficacy of the Molded Carbon Sorbent VNIITU-1 Used in Obstetric Practice by V. T. Dolgikh, L. G. Pyanova, S. V. Barinov, V. A. Likholobov, T. I. Dolgikh, E. I. Ryabchikova, D. V. Korneev

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DeepWalk-Based Graph Embeddings for miRNA–Disease Association Prediction Using Deep Neural Network by Jihwan Ha

“…Using DeepWalk, we extracted meaningful low-dimensional vectors from the miRNA and disease networks. Then, we applied a deep neural network to identify miRNA–disease associations using the low-dimensional vectors of miRNAs and diseases extracted via DeepWalk. …”
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Adenovirus-mediated efficient gene transfer into cultured three-dimensional organoids. by Ning Wang, Hongyu Zhang, Bing-Qiang Zhang, Wei Liu, Zhonglin Zhang, Min Qiao, Hongmei Zhang, Fang Deng, Ningning Wu, Xian Chen, Sheng Wen, Junhui Zhang, Zhan Liao, Qian Zhang, Zhengjian Yan, Liangjun Yin, Jixing Ye, Youlin Deng, Hue H Luu, Rex C Haydon, Houjie Liang, Tong-Chuan He

“…It is thus conceivable that effective genetic manipulations in such organoids may allow us to reconstruct disease processes and/or develop novel therapeutics. Recombinant adenoviruses are one of the most commonly used viral vectors for in vitro and in vivo gene deliveries. …”
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