Integrated Identification and Efficient Use of Biodiversity in Mountainous Regions by Mehdiyeva A. M., Mahmudova Z. A., Rustamova D. F., Mansurova D., Juraeva G.

“…Conducting a comprehensive assessment of the biodiversity of deforested mountainous regions substantiates the need to ensure the protection of these unique ecosystems. The issue of determining the direction of the integrated use of geothermal resources is studied not only by its structure and characteristics, but also by the level of development of complex technological processes for the extraction and processing of hydromineral raw materials and the technology of thermal energy processes. …”
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Scalable metal-based nanoparticle synthesis via laser ablation in liquids for transformative sensory and synaptic devices by Jun-Gyu Choi, Seokhyeon Baek, Junghoon Lee, Sungjun Park

“…However, traditional NP fabrication methods often involve complex processing, residual contaminants, and scalability issues, limiting their effectiveness in ASS applications. …”
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A fast retrieval method for multilevel redundant data in grid resource business middle office based on improved decision tree algorithm by Wei Sun, Hui Liu, Yu Wang, Weihao Shi, Xiao Wang, Zhiwei Zou

“…Abstract The current power grid business handles massive data operations where data retrieval frequently encounters redundancy issues. Conventional decision tree-based methods struggle to achieve accurate data acquisition when facing redundant interference. …”
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Mycelial Biomass Enzymes of Cordyceps militaris and Lentinula edodes in Baking Technology by Svetlana I. Koneva, Elena Yu. Egorova

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High-Resolution DLP 3D Printing for Complex Curved and Thin-Walled Structures at Practical Scale: Archimedes Microscrew by Chih-Lang Lin, Jun-Ting Liu, Chow-Shing Shin

“…In contrast, digital light processing (DLP) 3D printing provides a more balanced alternative, offering operational convenience, lower cost, and print dimensions that are more compatible with practical microfluidic needs. …”
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Preferences of People of Advanced and Gerontic Age in Diet Formation by Ruban N., Reznichenko I.

“…Functional food products should be based on age-related issues and consumer preferences. Aging weakens assimilative processes in organs and tissues, slows down the rate of redox reactions, and restructures the system of metabolism and body functions. …”
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Coronavirus research topics, tracking twenty years of research by Amir Aryani, Jingbo Wang, Luis Salvador-Carulla, Jihoon Woo, Cathy P. W. Cheung, Zhuochen Wu, Hui Yin, Junhua Xiao, Elisabeth A. Lambert, Jason Howitt, Jean M. Davidson, Serene Yoong, John B. Dixon, Rachel E. Climie, Jose A. Salinas-Perez, Nasser Bagheri, Celine Santiago, Joanne Williams, Nilmini Wickramasinghe, Leo Ng, Clara C. Zwack, Gavin W. Lambert

“…To explore research trends and innovations in this space, we developed a pipeline using natural language processing techniques. This pipeline systematically catalogues and synthesises the vast array of research articles, leading to the creation of a dataset with more than eight hundred thousand articles from July 2002 to May 2024. …”
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The Role of Innovative Entrepreneurship in the Economic Development of EU Member Countries by Rodica Crudu

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DEVELOPMENT OF AN INFORMATION SYSTEM FOR MANAGING SCIENTIFIC ACHIEVEMENTS AND CAREER GROWTH OF ACADEMIC STAFF IN HIGHER EDUCATION INSTITUTIONS by D. Semonkin, O. Sakaliuk, P. Lomovtsev

“…This article explores the development of an information system that ensures centralized storage, processing, and analysis of data on research and teaching activities in HEIs. …”
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The Role of Imagery in Film Creation (on the Example of Technical Images in Western Sci-Fi Films) by S. A. Pankratova

“…The analysis of technical imagery in western film discourse was carried out with the help of cognitive and discoursive methods, disclosing evaluational statements of film characters aimed at solving the topical issues in films. The analysis demonstrated that thanks to its implicit nature the image is able to render the emotional condition, to give direction to thought process, to provide wide program of information processing accompanied by the freedom of choice. …”
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Synergizing human insight and machine learning: A dual-lens approach to uncovering healthcare research and innovation outcomes by Stijn Horck, Sanne Steens, Jermain Kaminski

“…Many healthcare organisations have extensive documentation detailing the processes behind their various research and innovation projects. …”
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THE RELEVANCE OF RAISING AWARENESS OF PHARMACEUTICAL WORKERS ON HIV INFECTION by Андрей Георгиевич Петров, Галина Тихоновна Глембоцкая, Ольга Владимировна Хорошилова, Сергей Николаевич Филимонов, Виктор Андреевич Семенихин

“…Disclosure of the professional capabilities of pharmaceutical workers in the field of prevention and anti-epidemic work of HIV infection (infection caused by human immunodeficiency virus) is possible only through raising awareness of pharmaceutical workers on this problem. Currently, the issues of HIV infection are very relevant, due to the adverse reactions that occur in patients after taking medications. …”
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Comparative Analysis of MVVM and MVP Patterns Performance on Android Dashboard System by Fajar Pradana, Raziqa Izza Langundi, Djoko Pramono, Nur Ida Iriani

“…Testing was conducted by measuring performance across three key aspects: central processing unit (CPU) usage, memory usage, and system response time. …”
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Predisposal Radioactive Waste Management (PREDIS) Project Final Achievements and Impacts Overview by Holt Erika, Oksa Maria, Banford Anthony, Carbol Paul, Abdelouas Abdesselam, Giboire Isabelle, Mennecart Thierry, Niederleithinger Ernst

“…Over the 4-year duration, this Euratom project of 47 partners from 17 Member States has worked in close collaboration with 25 End User industrial members to advance the technologies associated with predisposal issues. This has included characterisation followed by treatment, conditioning and processing of metallics, liquid organic and solid organic wastes as well as with digitalization technologies for assessing performance of concrete waste packages and pre-disposal storage. …”
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An Unsupervised Integrated Framework for Arabic Aspect-Based Sentiment Analysis and Abstractive Text Summarization of Traffic Services Using Transformer Models by Alanoud Alotaibi, Farrukh Nadeem

“…The framework significantly enhances smart city traffic management by enabling automated processing of citizen feedback, supporting data-driven decision-making, and allowing authorities to monitor public sentiment, identify emerging issues, and allocate resources based on citizen needs, ultimately improving urban mobility and service responsiveness.…”
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Automating Monte Carlo simulations in nuclear engineering with domain knowledge-embedded large language model agents by Zavier Ndum Ndum, Jian Tao, John Ford, Yang Liu

“…Yet, traditional workflows for Monte Carlo simulations like FLUKA are labor-intensive and error-prone, relying on manual input file generation and post-processing. This limits scalability and efficiency. …”
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GREEN TECHNOLOGIES IN SMALL BUSINESS: DEVELOPMENT AND IMPLEMENTATION PROSPECTS by Sergiy B Kholod, Vadim V. Tatarinov, Vadim S. Tatarinov

“…Small businesses are involved in the process of efficient recycling of solid waste, starting from the stage of preparation for recycling and ending with the process of their disposal. …”
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Fast Monocular Measurement via Deep Learning-Based Object Detection for Real-Time Gas-Insulated Transmission Line Deformation Monitoring by Guiyun Yang, Wengang Yang, Entuo Li, Qinglong Wang, Huilong Han, Jie Sun, Meng Wang

“…Deformation monitoring of Gas-Insulated Transmission Lines (GILs) is critical for the early detection of structural issues and for ensuring safe power transmission. In this study, we introduce a rapid monocular measurement method that leverages deep learning for real-time monitoring. …”
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Classification and recognition of spatio-temporal behavior of ships based on deep learning of trajectory feature images by Yu ZHOU, Liang HUANG, Chunhui ZHOU, Yuanqiao WEN, Yamin HUANG, Jiaci WANG

“…It also realizes the sample generation and enhancement processing of ship trajectory feature images while taking into account the multi-scale features of ship trajectory. …”
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Enhancing Skin Disease Diagnosis Through Fine-Tune Convolutional Neural Network: A Comparative Study with Multi-class Approach by Najnin Akter Ringky, Abu Kowshir Bitto, Khalid Been Md. Badruzzaman Biplob, Md. Fazla Elahe, Musabbir Hasan Sammak, Tapushe Rabaya Toma

“…To classify different skin issues, we used pre-trained models, i.e., InceptionV3, DenseNet201, and Xception. …”
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