Development of an artificial intelligence system for the forecasting of infectious diseases by A. A. Kuzin, R. I. Glushakov, S. A. Parfenov, K. V. Sapozhnikov, A. A. Lazarev

“…Integration of AI tools into the existing healthcare algorithms can be especially useful for public health.…”
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Survey on explainable knowledge graph reasoning methods by Yi XIA, Mingjng LAN, Xiaohui CHEN, Junyong LUO, Gang ZHOU, Peng HE

“…In recent years, deep learning models have achieved remarkable progress in the prediction and classification tasks of artificial intelligence systems.However, most of the current deep learning models are black box, which means it is not conducive to human cognitive reasoning process.Meanwhile, with the continuous breakthroughs of artificial intelligence in the researches and applications, high-performance complex algorithms, models and systems generally lack the transparency and interpretability of decision making.This makes it difficult to apply the technologies in a wide range of fields requiring strict interpretability, such as national defense, medical care and cyber security.Therefore, the interpretability of artificial intelligence should be integrated into these algorithms and systems in the process of knowledge reasoning.By means of carrying out explicit explainable intelligence reasoning based on discrete symbolic representation and combining technologies in different fields, a behavior explanation mechanism can be formed which is an important way for artificial intelligence to realize data perception to intelligence perception.A comprehensive review of explainable knowledge graph reasoning was given.The concepts of explainable artificial intelligence and knowledge reasoning were introduced briefly.The latest research progress of explainable knowledge graph reasoning methods based on the three paradigms of artificial intelligence was introduced.Specifically, the ideas and improvement process of the algorithms in different scenarios of explainable knowledge graph reasoning were explained in detail.Moreover, the future research direction and the prospect of explainable knowledge graph reasoning were discussed.…”
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PREGNANCY AND CHILDBIRTH IN PATIENTS WITH RENAL ALLOGRAFT (CASE REPORT) by R. R. Temirbulatov, V. F. Bezhenar, O. N. Reznik, A. N. Anan’ev

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Automatic Generation of Medical Case-Based Multiple-Choice Questions (MCQs): A Review of Methodologies, Applications, Evaluation, and Future Directions by Somaiya Al Shuraiqi, Abdulrahman Aal Abdulsalam, Ken Masters, Hamza Zidoum, Adhari AlZaabi

“…The automatic creation of educational materials, particularly MCQs, is pivotal in enhancing teaching effectiveness and student engagement in medical education. …”
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Network and systems biology approaches help investigate gene regulatory interactions between Salmonella disease and host in chickens: Model‐based in silico evidence combined with g... by Reza Tohidi, Hoda Javaheri Bargourooshi, Arash Javanmard

“…To start, we used free computational tools and online bioinformatics resources, including predicting gene function using a multiple association network integration algorithm (geneMania), the Kyoto Encyclopedia of Genes and Genomes, the Annotation, Visualization and Integrated Discovery (DAVID) database and the stimulator of interferon genes. …”
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Estimation single output with a hybrid of ANFIS and MOPSO_HS by Aref Yelghi

“…In the field of soft computing, the Adaptive Neuro-Fuzzy Inference System (ANFIS) has been more well-liked in recent years for its predictive capabilities. Appropriate ANFIS parameter adjusting is critical, which creates a gap in its predictive integration with traditional optimization techniques. …”
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Giant pseudoangiomatous stromal hyperplasia of breast: Management challenge of gigantomastia with ptosis by Uma Krishnaswamy, K Balachandar, Thulasilingam Kathirazhagan

“…A pragmatic and individualized approach is the solution in the absence of reliable algorithms for management. This instance of a giant PASH tumor producing gigantomastia with severe ptosis is a case to point. …”
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SMART PLATFORM FOR SUPPORT ISSUES AT THE FIRST AND LAST MILE IN THE SUPPLY CHAIN - THE CONCEPT OF THE S-MILE PROJECT by Marcin STANIEK, Grzegorz SIERPIŃSKI

“…The suggested criteria for a routing algorithm, which will be implemented in the freight transport planner tool, not only allows routing in relation to time and cost criteria, but also the criterion regarding the limitation of emissions of harmful factors. …”
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Treatment response rate and life prognosis at autoimmune liver diseases by K. V. Ivashkin, Ye. N. Shirokova, V. T. Ivashkin

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Selecting of global phenological field observations for validating coarse AVHRR-derived forest phenology products based on spatial heterogeneity and temporal consistency by Qi Shao, Chao Huang, Yuanjun Xiao, Li Liu, Weiwei Liu, Ran Huang, Chang Zhou, Wei Weng, Jingfeng Huang

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Desktop Software for Patch-Clamp Raw Binary Data Conversion and Preprocessing by Ning Zhang, Yutao Tian, Lei Zhang, Zhuo Yang, Tao Zhang, Jishou Ruan

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Area-based face curve characteristic analysis to recognize Multimodal 2D/3D monozygotic twins using Simpson’s rule and Machine Learning by Gangothri Sanil, Krishna Prakasha, Srikanth Prabhu, Vinod C. Nayak

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Cooperative control method for multi-agent ground fracturing truck group based on offline reinforcement learning by RuYi Wang, HuiShen Jiao, YingCheng Tian, Yi Zhao, SiQi Wang, Ke Zhang, Bo Huang, QinRui Sun, DanDan Zhu

“…The core of this method is an improved algorithm based on the TD3, which is enhanced by the incorporation of the CQL algorithm to improve the stability of the collaborative control strategy. …”
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Battle of Water Demand Forecasting: An Optimized Deep Learning Model by Mohammadali Geranmehr, Alemtsehay G. Seyoum, Mostapha Kalami Heris

“…Ensuring a steady supply of drinking water is crucial for communities, but predicting how much water will be needed is challenging because of uncertainties. …”
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MODELING ECONOMIC AGENTS’ EXPECTATIONS AS A TOOL OF FORECASTING SHORT-TERM ECONOMIC CYCLES by Leonid A. Elshin, Maxim V. Savushkin

“…On the basis of quantitative estimation of economic agents’ expectations they designed algorithm for diagnosing cyclic fluctuations of economy, which gives an opportunity to identify rising and declining phases of economic cycles with an advance lag of 1-2 years with the effective trajectory of economic development of national economy.…”
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Modelling the Structure and Dynamics of Biological Pathways. by Laura O'Hara, Alessandra Livigni, Thanos Theo, Benjamin Boyer, Tim Angus, Derek Wright, Sz-Hau Chen, Sobia Raza, Mark W Barnett, Paul Digard, Lee B Smith, Tom C Freeman

“…There is a need for formalised diagrams that both summarise current biological pathway knowledge and support modelling approaches that explain and predict their behaviour. Here, we present a new, freely available modelling framework that includes a biologist-friendly pathway modelling language (mEPN), a simple but sophisticated method to support model parameterisation using available biological information; a stochastic flow algorithm that simulates the dynamics of pathway activity; and a 3-D visualisation engine that aids understanding of the complexities of a system's dynamics. …”
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Hybrid modeling of structure extension and instance weighting for naive Bayes by Yu Liangjun, Wang Di, Zhou Xian, Wu Xiaomin

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A deep machine learning model development for the biomarkers of the anatomical and functional anti-VEGF therapy outcome detection on retinal OCT images by B.E. Malyugin, S.N. Sakhnov, L.E. Axenova, K.D. Axenov, E.V. Kozina, V.V. Vronskaya, V.V. Myasnikova

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De novo KCNK4 variant caused epilepsy with febrile seizures plus, neurodevelopmental abnormalities, and hypertrichosis by Hong-Jun Yan, Wen-Hui Liu, Min-Xing Xu, Peng-Yu Wang, Yu-Jie Gu, Hua Li, Jing Guo, Sheng Luo

“…The identified variant was absent in normal populations, indicated to alter hydrogen bonds with surrounding residues by various protein modeling, predicted to be damaging for protein function by twenty algorithms, located in residues of high conservation across species, and classified as pathogenic by the ACMG guidelines. …”
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Towards a computer-assisted assessment of imitation in children with autism spectrum disorder based on a fine-grained analysis by Rujing Zhang, Jingying Chen, Xiaodi Liu, Yanling Gan, Guangshuai Wang

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