Validation of an artificial intelligence-based algorithm for predictive performance and risk stratification of sepsis using real-world data from hospitalised patients: a prospectiv... by Ji-Hyun Kim, Chi-Heum Cho, In-Cheol Kim, Kwang Joon Kim, KyungHyun Lee, Eun Yeong Ha, Sun Hyo Park, Gyeong Im Yu, Byung Eun Ahn, Yeeun Jeong, Joo-Yun Won, Taeyong Sim, Hochan Cho, Ki-Byung Lee

“…Objective The heterogeneous nature of sepsis renders determining its underlying causes difficult, which may delay diagnosis and intervention. VitalCare-SEPsis Score (VC-SEPS) is a deep learning-based algorithm that predicts sepsis and monitors patient conditions based on electronic medical record data. …”
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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

“…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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STsisal: a reference-free deconvolution pipeline for spatial transcriptomics data by Yinghao Fu, Yinghao Fu, Yinghao Fu, Leqi Tian, Weiwei Zhang

“…STsisal leverages a novel approach that integrates marker gene selection, mixing ratio decomposition, and cell type characteristic matrix analysis to discern distinct cell types with precision and efficiency within complex tissues. The main idea of our method is its adaptation of the SISAL algorithm, which expertly disentangles the ratio matrix, facilitating the identification of simplices within the ST data. …”
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A dual-method approach integrating dynamic QCA and LightGBM-SHAP algorithms to uncover the configuration paths and key drivers of water resource green efficiency in China by Naiming He, Rijia Ding

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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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Development of Automatic Balancing Application forFashion Company Using Artificial Intelligence by May Alrasheed, Mohamed Jmali, Thouraya Hamdi

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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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Novel NFA engine construction method of regular expressions by Mao-hua JING, Yi-xian YANG, Tao WANG, Yang XIN

“…A novel method for constructing smaller non-deterministic finite automata (NFA) engine from given regular expressions named PFA was proposed.There are three main algorithms in PFA,the pretreatment algorithm,the coding parser tree algorithm and the NFA construction algorithm based on the coded binary tree.The smaller NFA named NFA_p with only one start state and one final state can be obtained by using PFA construction method.NFA_phave linear size in terms of the size of given regular expressions.It is the smallest NFA comparing with current methods like Thompson NFA,follow automata,position automata and partial derivatives automata.The size of NFA_pis one third of Thompson’s and it is smaller than the size of follow automata whose size has nearly closed to optimal.…”
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Successive Refinement for Lossy Compression of Individual Sequences by Neri Merhav

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Exploiting Data Distribution: A Multi-Ranking Approach by Beata Zielosko, Kamil Jabloński, Anton Dmytrenko

“…It means that data comes from different sources, may be dispersed in terms of location, and may be stored in different structures and formats. …”
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Correction of requests in the information system decision support by S. F. Lipnitsky

“…At the same time, three main goals are pursued: building of a generalized information retrieval model, development of algorithms for pre-search query correction and development of algorithms for post-search query correction.Methods. …”
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Practical Approach to Studying Evolutionary Methods for Setting Weight Coefficients of Artificial Neural Networks by D. O. Petrov

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STRUCTURAL DEIGN OF KEY COMPONENTS OF FEEDER BASED ON TOPOLOGY OPTIMIZATION AND MULTI-OBJECTIVE OPTIMIZATION by TANG HuaPing, LI HongXing, JIANG YongZheng, LIU Jie

“…The results show that the main reason for the failure of the feeder is the unreasonable design of the spring upper seat structure. …”
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Methods for Constructing Artificial Neural Networks for Data Classification by L. V. Serebryanaya

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MULTIFACTORIAL ASSESSMENT OF POSTMORTEM LUNG DONOR by M. S. Khubutiya, E. A. Tarabrin, S. V. Golovinsky, M. M. Abakumov, V. L. Vinogradov, M. G. Minina, D. H. Tsurova, N. N. Levitskaya, A. M. Gasanov, S. V. Galayko, M. V. Samsonova

“…During the period from May, 2011 to May, 2012, 37 donors with diagnoses of brain death were surveyed. 5 bilateral lung transplantations were performed only in 2 cases donors have been evaluated as «ideal». …”
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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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Comparative analysis of power system generation adequacy calculating techniques by R. T. Valiev, V. P. Oboskalov, S. A. Gusev

“…The comparison of supplied demand algorithm and MCS in calculating GAI has been made. …”
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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

“…Meta-heuristic algorithms are utilized for optimizing tree-based methods, as well as for feature and instance selection. …”
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An Adaptive Task Traffic Shaping Method for Highly Concurrent Geographic Information System Services with Limited Resources by Zheng Wu, Hongyun Zhou, Zezhao Wang, Pengda Wu, Zhaoting Ma

“…Under the condition of limited resources, when the GIS service platform is faced with high concurrent service requests, the high concurrent processing capacity of a single server is the main bottleneck affecting the quality of service (QoS) of the GIS service platform. …”
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Research on Ginger Price Prediction Model Based on Deep Learning by Fengyu Li, Xianyong Meng, Ke Zhu, Jun Yan, Lining Liu, Pingzeng Liu

“…In order to ensure the price stability of niche agricultural products and enhance farmers’ income, the study delves into the pattern of the ginger price fluctuation rule and its main influencing factors. By combining seasonal decomposition STL, long and short-term memory network LSTM, attention mechanism ATT and Kolmogorov-Arnold network, a combined STL-LSTM-ATT-KAN prediction model is developed, and the model parameters are finely tuned by using multi-population adaptive particle swarm optimisation algorithm (AMP-PSO). …”
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