PhyIndBC: Development of a machine learning tool for screening of potential breast cancer inhibitors from phytochemicalsGitHub by Agneesh Pratim Das, Subhash M. Agarwal

“…Among these models, the RF algorithm coupled with the MACCS fingerprint emerged as the best performing model. …”
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Sensitivity and identifiability analysis of COVID-19 pandemic models by O. I. Krivorotko, S. I. Kabanikhin, M. I. Sosnovskaya, D. V. Andornaya

“…The paper presents the results of sensitivity-based identif iability analysis of the COVID-19 pandemic spread models in the Novosibirsk region using the systems of differential equations and mass balance law. The algorithm is built on the sensitivity matrix analysis using the methods of differential and linear algebra. …”
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Harris Harks Optimization Based Clustering With Fuzzy Routing for Lifetime Enhancing in Wireless Sensor Networks by Di Jing

“…In HHOCFR, an improved Harris harks optimization (HHO) algorithm is utilized to select the best cluster heads (CHs) and form optimal clusters simultaneously by a novel encoding mechanism. …”
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Resnet-1DCNN-REA bearing fault diagnosis method based on multi-source and multi-modal information fusion by Xu Chen, Wenbing Chang, Yongxiang Li, Zhao He, Xiang Ma, Shenghan Zhou

“…Finally, the tree-structured parzen estimator (TPE) algorithm was utilized to realize the integration of two models in order to improve the diagnostic effect of a single model and obtain the final bearing fault diagnosis results. …”
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ORGANISING EFFECTIVE INTERACTION OF MANAGERS OF ARCHITECTURAL AND CONSTRUCTION COMPANIES WITH CLIENTS BASED ON THE THEORY OF NON-VIOLENT COMMUNICATION by Руслан Кубанов, Дмитро Макатьора, Ярослав Кушик-Стрельніков

“…Specific recommendations, including conducting training, creating internal communication standards, implementing a customer feedback system, and developing active listening and empathy skills, are provided to improve managers’ communication practices. An algorithm for effective problem solving is presented, with special attention to the specifics of using non-violent communication when working with clients in conflict. …”
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A Point Cloud-Based Feature Recognition and Path Planning Method by Changhong Chen, Shaofeng Wang, Shunzhou Huang

“…For this, a point cloud-based multifeature contour recognition and location algorithm were proposed to simultaneously extract and locate the hole feature and cylindrical feature from an irregular porous castings. …”
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Scientific justification of Mycobacterium avium survival in natural environment of Republic of Dagestan by M. O. Baratov, A. R. Mustafayev

“…The study results will allow for the development of the optimal algorithm for animal health and management measures aimed at tuberculosis eradication on the poultry farms.…”
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Remote Sensing Scene Classification using ConvNeXt-Tiny Model with Attention Mechanism and Label Smoothing by Rachmawan Atmaji Perdana, Aniati Murni Arimurthy, Risnandar

“…Therefore, a reliable and accurate RSSC algorithm is required to ensure the accuracy of land identification. …”
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A Retrospective Claims-Based Study Evaluating Clinical and Economic Burden Among Patients With Moderate to Severe Osteoarthritis Pain in the United States by Patricia B. Schepman, Sheena Thakkar, Rebecca L. Robinson, Craig G. Beck, Deepa Malhotra, Birol Emir, Ryan N. Hansen

“…Eligible patients were aged ≥45 years with ≥12 months pre-index (baseline) and ≥24 months (follow-up) of continuous enrollment; index date was defined as a physician diagnosis of hip or knee OA. An algorithm was employed to identify MTS OA pain patients, who were propensity score matched with patients having non-MTS OA pain. …”
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Psychometric properties of a Serbian version of the State-Trait Anxiety Inventory X-2 by Damjan Jakšić, Jovana Trbojević Jocić, Stefan Maričić, • Bülent Okan Miçooğulları

“…Exploratory factor analysis with certain modifications of the algorithm was applied to determine accurately latent space. …”
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System-Level Digital Twin Modeling for Underwater Wireless IoT Networks by Lei Wang, Lei Yan, Xinbin Li, Song Han

“…Moreover, we introduce the network flow problem and employ a minimum-cost flow algorithm to enable FL servers’ cooperation. These strategies are integrated into a smart contract, namely, the UCB-based Smart Contract with a Security Prediction model and Minimum-Cost Flow (UCB-SCPF) policy. …”
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Exploring Topic Coherence With PCC-LDA and BERT for Contextual Word Generation by Sandeep Kumar Rachamadugu, T. P. Pushphavathi, Surbhi Bhatia Khan, Mohammad Alojail

“…Latent Dirichlet Allocation (LDA) is a popular algorithm for topic modeling, which assumes that every document is a mix of several topics, and each topic will have multiple words. …”
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Power flow and power quality improvement of a residential-industrial microgrid using 72-pulse inverter-based UIPC by Mahyar Abasi, Ali Nahavandi, Javad Ebrahimi, Gevork B. Gharehpetian

“…Two contributions are considered in the structure of the control system and the switching algorithm of the proposed converter. The first is related to the control system design based on the dq0 and proportional-integral controller, which is capable of producing the required signals of a 72-pulse voltage source converter. …”
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Research on the robustness of convolutional neural networks in image recognition by Dian LIN, Li PAN, Ping YI

“…Convolutional neural network is one of the key technologies in the application of image recognition and processing in artificial intelligence.Its wide application makes researches on its robustness more and more important.Previous researches on robustness of neural networks were too sweeping and most of them focused on adversarial robustness, which causes difficulty in further study in the mechanism of neural network robustness.The related researches of neuroscience were introduced and the concept of visual robustness was put forward.By studying the similarity and difference between neural network models and human visual system, the internal mechanism and faults of neural network robustness were revealed.The researches of neural network robustness in recent years were reviewed, and the reasons for the lack of robustness of neural network models were analyzed.The lack of robustness of neural networks is reflected in their sensitivity to small perturbations.The reason is that neural networks tend to learn high-frequency information for calculation and inference, which is difficult for humans to recognize.High-frequency information is easily affected by perturbations, and eventually causes mistakes of models.Previous researches on robustness mostly focused on mathematical properties of models, and were limited in the natural faults of neural networks.Visual robustness extends the traditional concept of robustness.The traditional concept of robustness measures the discrimination ability of models for distorted image examples.Distorted examples and clean examples can get correct outputs through robust models.Visual robustness measures the consistency between models and humans in discrimination ability.Visual robustness combines the research methods and achievements of neuroscience and psychology with artificial intelligence.The development of neuroscience in the field of vision were reviewed, and the application of research methods of cognitive psychology in neural network robustness were discussed.Human visual system has advantages in learning and abstract ability, whill neural network models have better performance in calculation speed and memory.The difference between the physiological structure of human brain and the logical structure of neural network models is the key factor leading to the problem of robustness of neural networks.The research of visual robustness requires deeper understanding of human visual system.Revealing the differences in cognitive mechanism between human visual system and neural network models and effectively improving the algorithm are the development trends of neural network robustness and even artificial intelligence.…”
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Movement Disorders and Smart Wrist Devices: A Comprehensive Study by Andrea Caroppo, Andrea Manni, Gabriele Rescio, Anna Maria Carluccio, Pietro Aleardo Siciliano, Alessandro Leone

“…Moreover, some articles also reported the type of raw data extracted from the smart wrist device, the implemented designed algorithmic pipeline, and the data classification methodology. …”
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An interpretable framework for inter-observer agreement measurements in TILs scoring on histopathological breast images: A proof-of-principle study. by Abdulkerim Capar, Dursun Ali Ekinci, Mucahit Ertano, M Khalid Khan Niazi, Erva Bengu Balaban, Ibrahim Aloglu, Meryem Dogan, Ziyu Su, Fugen Vardar Aker, Metin Nafi Gurcan

“…The second proposed method, the Distance Based Cell Agreement Algorithm (DBCAA), eliminates the need for ground truth annotations in cell detection predictions. …”
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Multicellular model of neuroblastoma proposes unconventional therapy based on multiple roles of p53. by Kenneth Y Wertheim, Robert Chisholm, Paul Richmond, Dawn Walker

“…By implementing a stochastic simulation algorithm on modern GPUs, we simulated the dynamics of over one million neuroblastoma cells over a period of months. …”
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TS-PAID: A Two-Stage PUF-Based Lightweight Authentication Protocol for Internet of Drones by Shehzad Ashraf Chaudhry, Azeem Irshad, Bander A. Alzahrani, Ahmad Alhindi, Mohd Shariq, Ashok Kumar Das

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Study on Air Void Characteristics and Hydraulic Characteristics of Porous Asphalt Concrete Based on Image Processing Technology by Zhanqi Wang, Jianguang Xie, Lei Gao, Yanping Liu, Kuan Li

“…Four samples were formed and scanned by CT equipment to obtain the internal cross-sectional CT images. Image dodging algorithm and OTSU method were conducted to deal with these CT images for segmenting them into three subimages (void image, asphalt mortar image, and aggregate image) according to the three components of PA concrete. …”
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Formation of Students’ Intercultural Competency on the Basis of the Textocentric Approach by N. N. Klementsova

“…The established correlation of textual skills, indicating a number of activities fundamental for self-realization of the students, with the components of their intercultural competency indicates the possibility of using textual activity in forming intercultural competency, determining its structural components and substantiating a component-by-component assessment in order to identify the level of its formation.The experimental testing embracing 460 students of Kaliningrad State Technical University involved the use of the technology algorithm providing for logically structured textual activity in foreign language classes, as well as training and methodological support of the technology provided by the university.Diagnostics of the competency formation level was carried out using the author’s method of express and detailed diagnostics. …”
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