High-Precision Positioning Method for Robot Acoustic Ranging Based on Self-Optimization of Base Stations by Zekai Zhang, Jiayu Chen, Bishu Gao, Yefeng Sun, Xiaofeng Ling, Zheyuan Li, Liang Gong

“…Experiments demonstrate that the proposed method can effectively enhance the positioning accuracy of acoustic positioning systems compared to traditional four-base station weighted average positioning algorithms.…”
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Method for Preprocessing Video Data for Training Deep-Learning Models for Identifying Behavioral Events in Bio-Objects by Marina Barulina, Alexander Andreev, Ilya Kovalenko, Ilya Barmin, Eduard Titov, Danil Kirillov

“…Monitoring moving bio-objects is currently of great interest for both fundamental and practical research. …”
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An Introduction to B-Cell Epitope Mapping and In Silico Epitope Prediction by Lenka Potocnakova, Mangesh Bhide, Lucia Borszekova Pulzova

“…Epitope-based antibodies are currently the most promising class of biopharmaceuticals. …”
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ecochange: An R‐package to derive ecosystem change indicators from freely available earth observation products by Wilson Lara, Maria C. Londoño, Ivan Gonzalez, Victor H. Gutierrez‐Velez

“…Abstract Spatial resources accessible for the derivation of biodiversity indicators of the class ecosystem structure are sparse and disparate, and their integration into computer algorithms for biodiversity monitoring remains problematic. …”
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Automated Classification of Snow Crab Shell Condition Using Analysis of Field Images by Ibrahim Kadri, Tobie Surette, Sid Ahmed Selouani, Mohsen Ghribi, Ryan LeBlanc

“…Effective management of this resource requires accurate identification of crabs that have recently molted, which is currently performed through subjective visual assessment of the crab’s shell condition. …”
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VQABG: Vietnamese question/answers benchmark generator for field-specific chatbot ground-truth dataset using EMINI (Exact Match wIth Numeric Information) indicator by Anh-Khoa NGO-HO, Khuong-Duy Vo, Anh-Khoi NGO-HO

“… Currently, the application of generative Artificial Intelligence for developing specialized chatbots in Vietnamese is an inevitable trend. …”
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Exploring Protein Conformational Changes Using a Large‐Scale Biophysical Sampling Augmented Deep Learning Strategy by Yao Hu, Hao Yang, Mingwei Li, Zhicheng Zhong, Yongqi Zhou, Fang Bai, Qian Wang

“…Abstract Inspired by the success of deep learning in predicting static protein structures, researchers are now actively exploring other deep learning algorithms aimed at predicting the conformational changes of proteins. …”
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Automatic Ladle Tracking with Object Detection and OCR in Steel Melting Shops by Kabil Murugan, Mahinas Senthilmurugan, Venbha V. Senthilkumar, Harshita Velusamy, Karthiga Sekar, Vasanthan Buvanesan, Manikandan Venugopal

“…A ladle tracking system in steel production plants is essential for optimizing the ladle transportation between different processing units. The currently used technologies for ladle tracking, including Radio Frequency Identification (RFID) systems, are not effective due to their high maintenance costs and poor performance in harsh conditions, leaving a significant gap in developing an automated ladle tracking system. …”
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Features of mammalian microRNA promoters emerge from polymerase II chromatin immunoprecipitation data. by David L Corcoran, Kusum V Pandit, Ben Gordon, Arindam Bhattacharjee, Naftali Kaminski, Panayiotis V Benos

“…<h4>Background</h4>MicroRNAs (miRNAs) are short, non-coding RNA regulators of protein coding genes. miRNAs play a very important role in diverse biological processes and various diseases. Many algorithms are able to predict miRNA genes and their targets, but their transcription regulation is still under investigation. …”
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Dynamic Performance Analysis of a Curved Cable-Stayed Bridge Based on the Direct Method and the Sensitivity-Based Iterative Method by Guanzhe Fa, Leqia He, Luigi Fenu, Bruno Briseghella

“…Curved cable-stayed bridges have been regularly accepted due to their ability to cross long spans, and a number of studies have been conducted to investigate the mechanical or dynamic performance of them. Meanwhile, currently just a few studies focus on the curved composite cable-stayed bridges. …”
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Understanding students’ sentiment from feedback with a new feature selection and semantics networks by Tran Anh Tuan, Dao Thi Thanh Loan, Nichnan Kittiphattanabawon

“… Sentiment analysis of students’ feedback using machine learning algorithms has emerged as a valuable tool for understanding students’ sentiments and improving educational outcomes. …”
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Unbiased machine learning-assisted approach for conditional discretization of human performances by Thepparit Banditwattanawong, Masawee Masdisornchote

“…These tasks stipulate a common condition that certain performance ranking labels might have no associated performance values and are referred to as conditional discretization. Currently, the only statistical method available for norm-referenced performance discretization is Z score, which merely addresses partial conditions. …”
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Surgical treatment of massive rotator cuff tears (literature review) by D. V. Menshova

“…Despite the large number of methods for the treatment of massive rotator cuff tears, there are no clear algorithms for managing patients and choosing one or another surgical tactics. …”
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Postulates of oncology alertness for an outpatient therapist: let’s look at the example of lung cancer by A. L. Vertkin, M. A. Rudnitskaya, Yu. V. Vakhabova, G. Yu. Knorring

“…Background. Currently, in our country, as well as throughout the world, there is a steady increase in the incidence of cancer, which is explained by several reasons, including the aging of the population, environmental, economic and other factors. …”
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Electroencephalogram-Based Emotion Classification Using Machine Learning and Deep Learning Techniques by Gst Ayu Vida Mastrika Giri, Made Leo Radhitya

“…Electroencephalogram (EEG) records brain activity as electrical currents to discern emotions. As interest in human-computer emotional connections rises, reliable and implementable emotion recognition algorithms are essential. …”
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Efficacy of Off-Label Use of Anticancer Drugs in Oncology by E. V. Karabina, D. D. Sakaeva, O. N. Lipatov

“…In a number of situations, the clinical benefits of off-label drugs are more convincing than in case of authorized indications. Currently, prescribing the “old” registered anticancer drugs, used in everyday clinical practice, is seen routine. …”
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Designing a Smart Garment for Dynamic Sitting Reminders by Yujie Hou, Zhaohui Wang, Huanhuan Liu, Mengxuan Xia, Xinyi Fan, Qinwen Ye

“…Currently, the sedentary nature of office work has led to a steady increase in the prevalence of spinal disorders, including lower back pain, back pain, and neck pain. …”
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Mapping Cell Identity from scRNA-seq: A primer on computational methods by Daniele Traversa, Matteo Chiara

“…Thanks to these technological developments, large-scale initiatives are currently ongoing aimed at mapping of all the cell types in the human body, with the ambitious aim to gain a cell-level resolution of physiological development and disease. …”
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Profiling Astroturfers on Facebook: A Complete Framework for Labeling, Feature Extraction, and Classification by Jonathan Schler, Elisheva Bonchek-Dokow

“…In politics, astroturfing is currently considered one of the most severe online threats to democracy. …”
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Organization of Expert Activity on Digital Network Platforms by V. V. Zotov

“…Currently, expert-analytical activity is being developed on digital network platforms as sociotechnical systems that organize algorithmized relationships between actors and actant in the field of assessing a problem situation and making decisions to resolve it. …”
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