Detection of mixed infection from bacterial whole genome sequence data allows assessment of its role in Clostridium difficile transmission. by David W Eyre, Madeleine L Cule, David Griffiths, Derrick W Crook, Tim E A Peto, A Sarah Walker, Daniel J Wilson

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The role of mitochondria-related genes and immune infiltration in carotid atherosclerosis: identification of hub targets through bioinformatics and machine learning approaches by Dan Liu, Kun Guo, Min Li, Xiaochen Yu, Xue Guan, Xiuru Guan

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INTEGRATED CHARACTERISTIC BASE OF MODULAR NUMBER SYSTEMS by A. A. Kolyada, A. F. Chernyavsky

“…Interval index characteristics – the interval index and the main interval index - play a key role in this mechanism. Priority of these characteristics is explained by their essential advantages over known integrated characteristics of a modular code when optimizing algorithms of non-modular operations.…”
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Exploration of Potential Roles of a New LOXL2 Splicing Variant Using Network Knowledge in Esophageal Squamous Cell Carcinoma by Bing-Li Wu, Guo-Qing Lv, Hai-Ying Zou, Ze-Peng Du, Jian-Yi Wu, Pi-Xian Zhang, Li-Yan Xu, En-Min Li

“…These results found many specific annotations indicating the potential specific role or mechanism for LOXL2-e13. The DEGs of LOXL2-e13, comparing to its wild type, were prioritized by the Random Walk with Restart algorithm. …”
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Link Prediction Based on the Derivation of Mapping Entropy by Hefei Hu, Yanan Wang, Zheng Li, Yang Tian, Yuemei Ren

“…The algorithms based on topological similarity play an important role in link prediction. …”
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Malware prediction technique based on program gene by Da XIAO, Bohan LIU, Baojiang CUI, Xiaochen WANG, Suoxing ZHANG

“…With the development of Internet technology,malicious programs have risen explosively.In the face of executable files without source,the current mainstream malware detection uses feature detection based on similarity,with lack of analysis of malicious sources.To resolve this status,the definition of program gene was raised,a generic method of extracting program gene was designed,and a malicious program prediction method was proposed based on program gene.Utilizing machine learning and deep-learning algorithms,the forecasting system has good prediction ability,with the accuracy rate of 99.3% in the deep-learning model,which validates the role of program gene theory in the field of malicious program analysis.…”
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Genetic structure and demographic inference of the regular sea urchin Sterechinus neumayeri (Meissner, 1900) in the Southern Ocean: The role of the last glaciation. by Angie Díaz, Karin Gérard, Claudio González-Wevar, Claudia Maturana, Jean-Pierre Féral, Bruno David, Thomas Saucède, Elie Poulin

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An overview of iterative methods based on orthogonal projections by Touraj Nikazad, Mona Khakzad

“…We provide a structured overview and comparison of existing orthogonal projection-based iterative methods for solving LFPs, including sequential, simultaneous, and block-iterative algorithms. …”
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Detection of communities with Naming Game-based methods. by Thais Gobet Uzun, Carlos Henrique Costa Ribeiro

“…In addition, the resulting uncertainty and trust values classify nodes and edges according to role and position in the network. Also, our model has shown a degree of accuracy both for non-overlapping and overlapping communities that are comparable with most algorithms specifically designed for topological community detection.…”
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Enhancing Transient Stability of DFIG-Based Wind Turbine Systems Using Deep Learning-Controlled Resistance-Based Fault Current Limiters by Yaoying Wang

“…MATLAB/Simulink confirms the efficacy of the proposed limiter and algorithm in boosting transient stability for DFIG-based wind energy systems. …”
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Towards optimal diabetes therapy management: An evaluation of therapy algorithms for type 2 diabetes mellitus at community health centers (CHCs) in Makassar City, South Sula-wesi,... by Rusli Rusli, Nurisyah Nurisyah, Sisilia Teresia Rosmala Dewi, Alfrida Monica Salasa, Arisanty Arisanty, Dwi Syah Fitrah Ramadhan, Ida Adhayanti, Hana Chen

“…Assessing the alignment of drug prescriptions with therapeutic algorithms plays a vital role in ensuring effective treatment for DM patients. …”
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The Role of Education in Building National Soft Power: An Empirical Analysis From a Global Perspective Using Deep Neural Networks by Yun Bai

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AI-enhanced automation of building energy optimization using a hybrid stacked model and genetic algorithms: Experiments with seven machine learning techniques and a deep neural net... by Mohammad H. Mehraban, Samad ME Sepasgozar, Alireza Ghomimoghadam, Behrouz Zafari

“…Unlike the common practices, the scenario development and building optimization tend to be enhanced by using AI in the present paper, using a Python-based script alongside the Non-dominated Sorting Genetic Algorithm (NSGA-II) through EnergyPlus simulations. …”
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Artificial intelligence and human person by Nicola Rotundo

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Multicluster Distributed Optimization Strategy for Turbine Wake Environment by Zhenping Yu, Xinmeng Zhou, Yedong Huang, Kunyu Zhou, Guangming Cui, Juntian Qu

“…As a crucial component of modern energy systems, wind energy plays a significant role in energy transition. In traditional wind power systems, mutual interference between wind turbines leads to wake effect, adversely impacts the power generation efficiency of wind farms. …”
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Artificial Intellect and Methodology of Economic Science by M. V. Dubovik, S. G. Dmitriev

“…Apart from that, the issue of public trust to applying algorithms and elaboration of evidence-based policy become hardly attainable without relevant interpretation of model functioning, in spite of hypothetic accuracy of forecasts made with their help. …”
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Estimation of Sideslip Angle Based on Extended Kalman Filter by Yupeng Huang, Chunjiang Bao, Jian Wu, Yan Ma

“…Traditional estimation method based on Kalman filter algorithm is correct in vehicle linear control area; however, on low adhesion road, vehicles have obvious nonlinear characteristics. …”
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Implementation of Machine Learning in Flat Die Extrusion of Polymers by Nickolas D. Polychronopoulos, Ioannis Sarris, John Vlachopoulos

“…The dataset was used to train and evaluate the following three powerful machine learning (ML) algorithms: Random Forest (RF), XGBoost, and Support Vector Regression (SVR). …”
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Network Topology Reconstruction Based on Power Line Communication by Xu Ma, Fang Yang, Jian Song, Jianqi Li, Weilin Liu

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A Multistep Framework for Vision Based Vehicle Detection by Hai Wang, Yingfeng Cai

“…Vision based vehicle detection is a critical technology that plays an important role in not only vehicle active safety but also road video surveillance application. …”
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