Blood transfusion training for prehospital providers: a scoping review by Pierre-Marc Dion, Kanwal Singh, Jillian Coleby, Andrew Beckett, Jacinthe Lampron, Melissa McGowan, Risa Shorr, Brodie Nolan

“…All studies featured face-to-face instruction and hands-on skills training. …”
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Neuronal network approach to study the operation of shuttle-service trains by A. L. Kazakov, R. Yu. Upyr, A. D. Domojirova

“…The authors study the section of the shuttle-service trains. Based on a detailed description and characterisation of the site, it is categorised as a man-machine and difficult-to-formalise system. …”
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USE OF METHODOLOGICAL TASKS IN PROFESSIONAL TRAINING OF FUTURE TEACHERS OF INFORMATICS by Nataliia S. Pavlova

“…Based on the meaning of the term «task», attention is paid to the method and process of solving the problem. …”
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Vocational teacher training in Russia at the present stage: Conceptual aspect by В. A. Fedorov, P. F. Kubrushko, V. V. Dubitskiy, A. V. Feoktistov

“…The paper presents the authors’ vision of this phenomena based on the ideas of humanisation, continuity, and democratisation of vocational teacher training system. …”
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Identifying the Components of Iranian Adolescent Compassionate Mind Training Program by Somayeh Mohebi, Iraj Shakerinia, Mahnaz Khosrojavid, Abbas Abolghasemi, Abbas Ali Hossein Khanzadeh:

“…Data was collected through semi-structured interviews, focusing on the essential components of compassion training for adolescents, distinguishing features of Iranian adolescents, and additional elements needed for cultural adaptation. …”
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Nursing in Lebanon: historical evolution, modern challenges, and professional training by V. G. Valkova, E. N. Zolotukhina, T. N. Ishchuk, M. Saada

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Using Encyclopedic Texts for Training and Inference of Artificial Neural Networks by Vladimir Medeyko

“…These issues can be attributed to the quality of training datasets, model training features, and query processing. …”
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USING THE INNOVATIVE PEDAGOGICAL TECHNOLOGIES IN METHODOLOGICAL TRAINING OF FUTURE TEACHERS by Olena M. Chaika, Maryna O. Kushnierova

“…Particular attention is paid to the characteristic features of using the innovative pedagogical technologies in the process of methodical training of future foreign literature teachers, taking into account the general laws of the educational process at higher pedagogical institutions and based on personal, activity and competence approaches. …”
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Climate Change Affects Choice and Management of Training Systems in the Grapevine by Filippo Del Zozzo, Stefano Poni

“…For the latter, we considered 12 main trellis types and scored them based on climate-related features and general traits such as vigor, yield control, susceptibility to fungal diseases, and suitability according to wine types (still or sparkling). …”
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Western Diplomatic training: A Comparative Analysis of Education Models by A. P. Sokolov, I. S. Khludov, E. D. Spirin, M. A. Makarov

“…The article examines the specific features of diplomatic training in Western countries in the context of shifting foreign policy approaches. …”
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PEDAGOGICAL ASPECTS OF PROFESSIONAL TRAINING OF FUTURE SPECIALISTS IN GRAPHIC DESIGN by Ju Dongting

“…The article is devoted to the matter of improving the psychological and pedagogical features of professional training of future graphic design specialists. …”
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The Importance of Training Health Workers in Preventing the Spread of Dengue Fever by Zohreh Karimiankakolaki

“…Symptoms of the disease range from asymptomatic to symptomatic, afebrile to hemorrhagic, and usually begin 5-7 days after the mosquito bite (Sampat, 2021). Clinical features of the disease include fever with rash, severe headache, pain behind the eyes, muscle and joint pain (Halstead, 2007). …”
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Recurrent Neural Network Optimized by Grasshopper for Accurate Audio Data-Based Diagnosis of Parkinson's Disease by Saif Wali Ali Alsudani, Ghassan Khudair Saud

“…The LSTM neural network serves as the core deep learning model for this framework. It is trained on the speech signals produced by both healthy individuals and those with PD, allowing it to detect the class of a given speech signal based on the conditions necessary for successful classification. …”
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Diabetic Retinopathy Classification Using Hybrid Color-Based CLAHE and Blood Vessel in Deep Convolution Neural Network by Ammar Jawad Kadhim, Hadi Seyedarabi, Reza Afrouzian, Fadhil Sahib Hasan

“…Variant models, especially VGG19 and InceptionV3, are trained using a transfer learning approach on the proposed extracted features for DR grading. …”
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Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction by Arulmozhi P, Gopi R

“…Abstract Content-based image retrieval (CBIR) systems have formidable obstacles in connecting human comprehension with machine-driven feature extraction due to the exponential expansion of visual data across many areas. …”
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Co-occurrence feature learning for visual recognition of immature leukocytes by Yi-Ting Hsiao, Si-Wa Chan, Yen-Chieh Ouyang, Ju-Huei Chien

“…Additionally, the model is less demanding in terms of training hardware than attentional mechanism-based models that also have local feature representation. …”
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A Novel Supervoxel-Based NE-PC Model for Separating Wood and Leaf Components from Terrestrial Laser Scanning Data by Shengqin Gong, Xin Shen, Lin Cao

“…This study proposes a novel unsupervised model (NE-PC) that synergizes geometric features with graph-based path analysis to achieve accurate wood–leaf classification without training samples or empirical parameter tuning. …”
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Emotion on the edge: An evaluation of feature representations and machine learning models by James Thomas Black, Muhammad Zeeshan Shakir

“…We examine the training and inference times of models to determine the most efficient combination when employing an edge architecture, investigating each model’s performance from training to inference using an edge board. …”
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Combined Method for Informative Feature Selection for Speech Pathology Detection by D. S. Likhachov, M. I. Vashkevich, N. A. Petrovsky, E. S. Azarov

“…Features based on fine-frequency cepstral coefficients, traditionally used in speech signal processing, and features based on discrete estimation of the autoregressive spectrum envelope are used. …”
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Machine learning-based radiomic features of perivascular adipose tissue in coronary computed tomography angiography predicting inflammation status around atherosclerotic plaque: a... by Kunlin Ye, Lingtao Zhang, Hao Zhou, Xukai Mo, Changzheng Shi

“…The nomogram integrating clinical and radiomics features showed robust calibration and discrimination (c-index: 0.825 in training, 0.907 in testing).Conclusion CCTA-based PVAT radiomics effectively distinguished coronary artery segments with and without plaques. …”
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