PROJECT METHOD AS A MEANS OF FORMATION OF COMPETENCIES OF FUTURE PROFESSIONALS IN HOTEL AND RESTAURANT BUSINESS IN THE PROCESS OF ECOLOGY STUDIES by Tetiana I. Yusypiva, Halyna I. Miasoid

“…It is revealed that training of ecological practices in the system of vocational education should be based on the subject biological competences, take into account psychological features of late adolescence of first-year students, meet the requirements of level 6 of the National Qualifications Framework and ensure the formation of learning outcomes of Bachelor’s programme ‘Hotel & Restaurant Business’ at Alfred Nobel University. …”
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PEDAGOGICAL SUPPORT OF FORMATION OF MORAL AWARENESS OF STUDENTS by Aksana F. Hodko

“…The purpose of this article is to consider the features of pedagogical support of the formation of moral awareness of students, its main components and principles, to describe the components of the professional culture of the teacher, to determine the pedagogical conditions of development of moral awareness of students on the basis of the realization of the principle of the educative training of modern specialists.Methods. …”
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NN-TOC v1: global prediction of total organic carbon in marine sediments using deep neural networks by N. Parameswaran, N. Parameswaran, E. González, E. Burwicz-Galerne, M. Braack, K. Wallmann

“…Moreover, we compare different machine learning models based on their performance metrics and predictions and assess their strengths and limitations. …”
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Characteristics of respiratory tuberculosis with concurrent conjunctive tissue dysplasia by L. A. Sukhanova

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Enhanced machine learning models for predicting three-year mortality in Non-STEMI patients aged 75 and above by Jing Zhang, Wuyu Xiong, Chengzhi Zhang, Cuiyuan Huang, Wenqiang Li, Li Liu, Wei Wang, Ye Sang, Huiling Zhen, Caiwei Tan, Jiajuan Yang, Jian Yang

“…A web-based calculator was also developed to support clinical decision-making. …”
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Predominance of gram-negative multidrug-resistant pathogens causing lower respiratory tract infections among gene X-pert negative presumptive tuberculosis patients in Dar Es Salaam... by Irene Rabiel, Mtebe Majigo, Loveness Urio, Lilian Nkinda, Peter Richard Torokaa, Elieshiupendo M. Niccodem, Mabula Kasubi, Doreen Kamori, Joel Manyahi, Agricola Joachim

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Hybrid machine learning algorithms accurately predict marine ecological communities by Luciana Erika Yaginuma, Luciana Erika Yaginuma, Fabiane Gallucci, Danilo Cândido Vieira, Paula Foltran Gheller, Simone Brito de Jesus, Thais Navajas Corbisier, Gustavo Fonseca

“…Depth, the concentration of dissolved oxygen in the water near the bottom, the quality and quantity of phytodetritus, the proportion of coarse sand and carbonate, the sediment skewness, pH, and redox potential were the most important features structuring them. The inference of each association across the whole study area was based on the modeling results of the 8 significant environmental features. …”
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Development of Professional Competencies in IT-specialists by Anatolii V. Karpov, Aleksandr A. Karpov, Sergei O. Prisyazhnyuk

“…The disclosure of patterns of formation and development of basic competencies of specialists is an essential condition for optimizing the process of professional training and improving the effectiveness of information-related activity in general. …”
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Usability Testing of a Bystander Bullying Intervention for Rural Middle Schools: Mixed Methods Study by Aida Midgett, Diana M Doumas, Claudia Peralta, Matt Peck, Blaine Reilly, Mary K Buller

“…Comprehensive, school-wide bullying programs require resources that create significant barriers to implementation for rural schools. Because technology-based programs can reduce implementation barriers, the development of a technology-based program increases access to bullying prevention in rural settings. …”
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Improving Digital Cancer Care for Older Black Adults: Qualitative Study by Paul Wankah, Shivani Chandra, Aisha Lofters, Nebila Mohamednur, Beverley Osei, Tutsirai Makuwaza, Ambreen Sayani

“…Barriers include limited digital literacy, linguistic barriers in traditional African or Caribbean languages, and patient concerns of shifting power dynamics when supported by their children for digital cancer care; and facilitators include community-based cancer support groups, caregiver support, and key features of digital technologies. …”
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Enhancing intracranial aneurysm rupture risk prediction with a novel multivariable logistic regression model incorporating high-resolution vessel wall imaging by Zihang Wang, Zihang Wang, Chang Yan, Chang Yan, Wenqing Yuan, Wenqing Yuan, Shuangyan Jiang, Shuangyan Jiang, Yongxiang Jiang, Ting Chen

“…The model revealed strong calibration and good agreement between predicted and observed rupture probabilities.ConclusionThe multivariate model based on HR-VWI, which incorporates aneurysm and parent artery features, provides a more accurate prediction of IA rupture risk than conventional scoring systems, offering a valuable tool for clinical decision-making.…”
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Automated histopathological detection and classification of lung cancer with an image pre-processing pipeline and spatial attention with deep neural networks by Tushar Nayak, Nitila Gokulkrishnan, Krishnaraj Chadaga, Niranjana Sampathila, Hilda Mayrose, Swathi K. S.

“…The pre-processing pipeline employed before training, validation and testing helps enhance features of the histopathological images and removes biases due to stain variations for increased model robustness. …”
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Identification and Validation of Immune-Related Gene Prognostic Signature for Hepatocellular Carcinoma by Wenbiao Chen, Minglin Ou, Donge Tang, Yong Dai, Weibo Du

“…The IRGs were then combined with clinical features to validate the robustness of the prognostic signature through bioinformatics tools. …”
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Gamified Shoulder Rehabilitation for Mild Stroke Patients Using Virtual Reality by Roy Francis Navea, Vincent Mao Talde, Francisco Luis Armintia, Sarrah Mae Dela Cruz, Gabriel Medina, Alvin Decena

“…This study introduces i-Suksok, a VR-based game specifically designed for shoulder rehabilitation in mild-stroke patients. …”
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Integrative analysis of bulk and single-cell transcriptomic data reveals novel insights into lipid metabolism and prognostic factors in hepatocellular carcinoma by Feiyu Qi, Guiming Zha, Yanfang Zhang, Sihua Liu, Yuhang Yang, Wanliang Sun, Dongdong Wang, Zhong Liu, Zheng Lu, Dengyong Zhang

“…Immune-related analysis was conducted based on seven algorithms for immune cell infiltration prediction. …”
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Enhancing runoff simulation by combining superflex with deep learning methods in China's Qinghai Lake Basin, Northeast Tibetan Plateau by Kaixun Liu, Na Li, Sihai Liang

“…Our approach leverages Superflex as a pre-training step for the neural networks and incorporates key process variables from the physical model as inputs to the network, creating a physically-driven deep learning framework. …”
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LINGUISTIC BASICS OF TEACHING FOREIGN STUDENTS OF PREPARATORY DEPARTMENTS THE SCIENTIFIC SPEECH STYLE IN THE STUDY OF NATURAL DISCIPLINES by Olexandr O. Kalenyk, Tetiana L. Tsaregradskaya, Maryna Yu. Rebenko, Iryna V. Ovsiienko

“…The problem of systematic analysis of linguistic and methodological bases of teaching the scientific style of speech of foreign students at the preparatory departments has its own features and difficulties, overcoming which is associated with the search for new methodological approaches and models. …”
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Length, Width, and Relative Age Analysis of Lineaments in the Galileo Regional Maps with LineaMapper by Caroline Haslebacher, Javier Gamazo Tejero, Louise M. Prockter, Erin J. Leonard, Alyssa R. Rhoden, Nicolas Thomas

“…The Galileo regional mosaics (“RegMaps”) show Europa’s extensive regional-scale tectonic features under similar illumination conditions. Detailed lineament studies can help constrain resurfacing events and formation mechanisms, but most lineament maps only include a portion of the observed features. …”
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Markarian Multiwavelength Data Center (MMDC): A Tool for Retrieving and Modeling Multitemporal, Multiwavelength, and Multimessenger Data from Blazar Observations by N. Sahakyan, V. Vardanyan, P. Giommi, D. Bégué, D. Israyelyan, G. Harutyunyan, M. Manvelyan, M. Khachatryan, H. Dereli-Bégué, S. Gasparyan

“…Another important distinguishing feature of MMDC is its ability to enable precise, self-consistent theoretical modeling of the observed data using machine learning algorithms trained on leptonic and lepto-hadronic models, which consider the injection of particles and all relevant cooling processes. …”
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AI-powered literature search: some observations and concerns by Farooq Azam Rathore, Fareeha Farooq

“…Reading is one of the defining features of humankind and a critical appraisal of the literature and understanding the actual meanings of the words and science by reading the articles is an essential part of the physicians training.9 Those who tend to fall in the trap of generating and reading only summaries of the article will likely develop a superficial understanding which can be detrimental in the long term. …”
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