Optimal ecological restoration strategy development based on value-cost trade-offs by Yunxuan Liu, Cui Zhang, Miaomiao Xie, Jingyi Xie

“…We identified areas prioritized for ecological restoration by employing the research paradigm of ''sources-resistance surface-corridors-nodes''. …”
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MALDI-TOF mass spectrometry combined with machine learning algorithms to identify protein profiles related to malaria infection in human sera from Côte d’Ivoire by Fateneba Kone, Lucie Conrad, Jean T. Coulibaly, Kigbafori D. Silué, Sören L. Becker, Brama Kone, Issa Sy

“…In endemic areas, malaria is mainly diagnosed using microscopy or rapid diagnostic tests (RDTs), which have limited sensitivity, and microscopic expertise is waning in non-endemic regions. …”
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The influence of AI on price forecasting. The view of the academic community by Alexandra-Cristina-Daniela Ciuverca, Simona‑Vasilica Oprea

“… In the context of the impressive development of Big Data, AI algorithms have proven their efficiency in processing and analyzing large volumes of data. …”
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Implementation of an algorithm for the identification of breast cancer deaths in German health insurance claims data: a validation study based on a record linkage with administrati... by Hajo Zeeb, Ulrike Haug, Jonas Czwikla, Hans Werner Hense

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Optimization Models for Reducing the Air Pollutants Emission in the Production of Insulation Bituminous by Faezeh Borhani, Majid Shafiepour Motlagh, Amir Houshang Ehsani, Yousef Rashidi, Alireza Noorpoor, Saeid Maddah

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TomatoWUR: An annotated dataset of tomato plants to quantitatively evaluate segmentation, skeletonisation, and plant-trait extraction algorithms for 3D plant phenotyping4TU.researc... by Bart M. van Marrewijk, Tim van Daalen, Katarína Smoleňová, Bolai Xin, Gerrit Polder, Gert Kootstra

“…To our best knowledge only five annotated datasets exist for testing and validating 3D phenotyping algorithms. However, these datasets mainly focus on the segmentation step. …”
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Research on Newton-Krylov Method for Multi-component Flow Heat Transfer Coupled System of High-temperature Gas-cooled Reactor by TANG Huanran, ZHANG Han, LIU Lixun, PENG Xinru, WU Yingjie, GUO Jiong, LI Fu

“…By studying the selection of preconditioning matrix structure and the number of filling levels of ILU decomposition, the preconditioning matrix structure of “main coupling type” is proposed and ILU(5) is selected as suitable preconditioning for this research, which improves the efficiency of NK method for solving linear equations. …”

State and prospects of basic computer training in engineering education by O. G. Arkhipov

“…This new teaching method has such a «reference point» as fundamental programming concepts «task – method of this task solution – algorithm for solving the task – computer program».The main tasks of the discipline of the basic computer training were defined:– formation of students’ formal logic, algorithmic thinking;– learning of modern technology of structured programming, providing efficient development of algorithms and computer programs;– formation of practical skills of designing algorithms of any complexity;– learning of procedure-oriented programming languages.The article analyzes some negative aspects, related to basic computer training and appeared in the last 15–20 years in the National Research University «Moscow Power Engineering Institute» and other higher technical educational universities of Russia, including:– subjective diluting effect, changing the purpose and content of basic computer training and replacement by the other, «unconvincing» in the content subjects;– lack of a unified program of discipline «Informatics» for higher technical educational institutions of Russia;– lack of understanding of the specificity of very intensive work of lecturers, conducting such training, and the underestimation of their labor;– insufficient current level of initial computer training for the secondary school graduates;– lack of methodological interaction of higher technical educational universities of Russia among themselves and with the secondary school on basic computer training.The article emphasizes that the basic computer training in engineering education in Russia will be in perspective realized in its classic historical sense of the word, if the qualified engineers, who are able to think logically and resolve efficiently any professional tasks, will be necessary for the country as before.…”
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Epilepsy Diagnosis Analysis via a Multiple-Measures Composite Strategy from the Viewpoint of Associated Network Analysis Methods by Haoying Niu, Tiange Mu, Yuting Wang, Jiayang Huang, Jie Liu

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Optimizing Solar Radiation Prediction Based on The Internet of Things Platform in Photovoltaic Power Plant by Neda Ashrafi Khozani, Maryam Mahmoudi, Shabnam Nasr Esfahani

“…Employing meta-heuristic methods as the main innovation in this research not only optimizes machine learning model settings but also mitigates the impact of noise, outliers, and ineffective inputs, thereby enhancing the final output quality. …”
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STsisal: a reference-free deconvolution pipeline for spatial transcriptomics data by Yinghao Fu, Yinghao Fu, Yinghao Fu, Leqi Tian, Weiwei Zhang

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Investigation on Circadian Regulation of Four-Primary LED Display Differed in People by GA by Wenhui Li, Junying Li, Yating Feng, Yi Lin, Haoyang Liu, Ruoping Lian, Qinzhen Lin, Jingyi Cui, Zixin Huang, Yaling Chai, Ziquan Guo, Lili Zheng, Zhong Chen

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Improved gated recurrent unit-based osteosarcoma prediction on histology images: a meta-heuristic-oriented optimization concept by S. Prabakaran, S. Mary Praveena

“…Hence, early diagnosis and individualized care of osteosarcoma are essential since they may lead to more effective therapies and higher survival rates. Here, the main goal of the recommended research is to use a unique deep learning approach to predict the osteosarcoma on histology images. …”
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Study on the Method of Vineyard Information Extraction Based on Spectral and Texture Features of GF-6 Satellite Imagery by Xuemei Han, Huichun Ye, Yue Zhang, Chaojia Nie, Fu Wen

“…This study selected the main oasis area of Turpan City in Xinjiang, China, as the research area. …”
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Identification of dementia and MCI cases in health information systems: An Italian validation study by Ilaria Bacigalupo, Flavia L. Lombardo, Anna Maria Bargagli, Silvia Cascini, Nera Agabiti, Marina Davoli, Silvia Scalmana, Annalisa Di Palma, Annarita Greco, Marina Rinaldi, Roberta Giordana, Daniele Imperiale, Piero Secreto, Natalia Golini, Roberto Gnavi, Franca Lovaldi, Carlo A. Biagini, Elisa Gualdani, Paolo Francesconi, Natalia Magliocchetti, Teresa Di Fiandra, Nicola Vanacore

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Research on Mechanical Properties of Steel Tube Concrete Columns Reinforced with Steel–Basalt Hybrid Fibers Based on Experiment and Machine Learning by Bohao Zhang, Xiao Xu, Wenxiu Hao

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Taxonomy of Memory Usage in Swarm Intelligence-Based Metaheuristics by Yasear et al.

“…Based on the usage of memory, metaheuristics can be classified into algorithms with memory and without memory (memory-less). …”
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Proposing a framework for body mass prediction with point clouds: A study applied in typical swine pen environments by Gabriel Pagin, Luciane Silva Martello, Rubens André Tabile, Rafael Vieira de Sousa

“…Challenges persist in implementing these techniques in pens with a large number of animals, especially in extracting physical body characteristics from images in a production environment. In this context, the main objective of this research is to investigate a novel framework comprising effective algorithms for feature extraction, attribute selection, hyperparameter optimization, and prediction modelling, using point clouds collected from production animals (growing and finishing pigs). …”
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Predicting autoimmune thyroiditis in primary Sjogren’s syndrome patients using a random forest classifier: a retrospective study by Jia-yun Wu, Jing-yu Zhang, Wen-qi Xia, Yue-ning Kang, Ru-yi Liao, Yu-ling Chen, Xiao-min Li, Ya Wen, Fan-xuan Meng, Li-ling Xu, Sheng-hui Wen, Hui-fen Liu, Yuan-qing Li, Jie-ruo Gu, Qing Lv, Yong Ren

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Considering the Structure of Scientific and Cognitive Activity at Different Levels of Continuing Education by A. A. Frolov, Y. N. Frolova, I. A. Chernyayev

“…The survey respondents were selected from the school and university students, postgraduates, candidates and doctors of sciences, either prone to or engaged in research activity at various levels. The research data demonstrate that the system of continuing education does not provide any clear and verified algorithm of scientific and cognitive activity, as the result the scientific cognitive competence of human subjects of educational process is not developed including its intellectual and instrumental components. …”
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