An Advanced Recomposition-Based Displaying Technique: Maximizing Image Reconstruction for Virtual Museum Applications by Jingjie Zhao, Xin Shi, Olga Yezhova, Qinchuan Zhan, Xijing Zhang

“…These methods, combined with a multi-layer aggregation algorithm that encodes deep feature representations in a Gaussian Mixture Model (GMM), enable seamless scene reconstruction with improved precision. …”
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A large language model for advanced power dispatch by Yuheng Cheng, Huan Zhao, Xiyuan Zhou, Junhua Zhao, Yuji Cao, Chao Yang, Xinlei Cai

“…We have developed a novel dataset construction technique that harnesses various data sources to fine-tune GAIA for optimal performance in this domain. …”
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Hybrid Graph Representation and Learning Framework for High-Level Synthesis Design Space Exploration by Pouya Taghipour, Eric Granger, Yves Blaquiere

“…Optimizing hardware accelerators in high-level synthesis (HLS) relies on design space exploration (DSE), which involves experimenting with different pragma options and trading off hardware cost and performance metrics (HCPMs) to identify Pareto-optimal solutions. …”
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Meta-Study on Sulphur Supply of Various Crop Species in Organic Farming Between 1998 and 2023 in European Countries—Part 1: Effects of Sulphur Supply on Plant Dry Biomass, Nitrogen... by Hartmut Kolbe

“…The results were also used to develop practical methods for determining fertiliser requirements for different crop species and the crop rotation in organic farming.…”
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Enzyme activity in germinating seeds of winter soft wheat when the light regime changes due to UV seed radiation by E. N. Simonova, N. S. Kravchenko

“…Stimulation during seed germination, which accelerates seed growth and foliage development, includes electrophysical methods, in particular, seed treatment with ultraviolet radiation. …”
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Artificial intelligence prompt engineering as a new digital competence: Analysis of generative AI technologies such as ChatGPT by Pawel Korzynski, Grzegorz Mazurek, Pamela Krzypkowska, Artur Kurasinski

“…Research Design & Methods: This research utilized a narrative and critical literature review and established a conceptual framework derived from existing literature taking into account both academic and practitioner sources. …”
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Gravity and Magnetic Separation for Concentrating Critical Raw Materials from Granite Quarry Waste: A Case Study from Buddusò (Sardinia, Italy) by Antonello Aquilano, Elena Marrocchino, Carmela Vaccaro

“…Therefore, the present study was conducted to assess the efficiency of these gravity and magnetic separation methods in order to concentrate CRMs from granite EW. …”
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Sentimentally enhanced conversation recommender system by Fengjin Liu, Qiong Cao, Xianying Huang, Huaiyu Liu

“…Existing studies often rely on knowledge graphs to enhance the representation of entity information. However, these methods tend to overlook the inherent incompleteness of knowledge graphs, making it challenging for models to fully capture users’ true preferences. …”
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Stacked hybrid model for load forecasting: integrating transformers, ANN, and fuzzy logic by Elakkiya E, Antony Raj S, Arunkumar Balakrishnan, Bhavyasri Sanisetty, Revanth Balaji Bandaru

“…Abstract Modern energy management systems must include load forecasting in order for utilities to plan and optimize electricity distribution, lower operating costs, and improve grid stability. …”
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Quantum limits of parameter estimation in long-baseline imaging by Aqil Sajjad, Michael R. Grace, Saikat Guha

“…We show how both receiver designs can be used to capture both sources of information and discuss how similar methods could be extended to more general imaging tasks. …”
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Development of management accounting functions in the corporate governance system by S. N. Grichkina, K. S. Chestnova

“…To achieve this goal, the methods of synthesis and analysis, abstraction, deduction and induction, comparison and systematization were used, as well as a critical analysis of existing views on the essence of management accounting, its functions and possible development scenarios, taking into account transformations in accounting science and practice observed in the third decade of the XXI century. …”
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Comparing the Effect of a One-Session Average-Intensity Resistance Training on the Growth Hormone Secretion in Active and Inactive Women by Seyedeh Zoleikha Hashemi Chashmi, Norolah Geravand, Khosro Jalali Dehkordi, Ali Asghar Ravasi, Mehran Sardari

“…Background and Objective: Growth hormone not only effects the stimulation, division and growth of cells throughout the body during growth period but also leads to a decrease in the use of the carbohydrates and transfer of Lipids as sources of energy. The aim of this study was to compare the effect of a one-session average-intensity resistance training on the growth hormone secretion in active and inactive women Subjects and Methods: The demographic questionnaire completed by 100 female students, twenty, were randomly divided in two active and inactive groups. …”
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The Role of Elastin in Tendon and Ligament Disorders: Therapeutic Interventions in Orthopedics and Sports Medicine by Weronika Gorska, Filip Jasiński, Artur Łukawski, Julia Szałajska, Klaudia Wojtach, Filip Banyś, Iga Wiak, Konrad Bochen, Filip Czyżewski, Anna Dziegciarczyk

“…Objectives The objective of this review is to evaluate emerging elastin-based therapeutic strategies, such as platelet-rich plasma (PRP) therapy, bioengineered scaffolds, and microRNA-based treatments, and their potential to enhance recovery in musculoskeletal injuries by improving tissue elasticity and resilience. Materials and Methods A comprehensive review of the studies available on open access sources, including PubMed, Google Scholar, and the National Library of Medicine, was conducted. …”
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Historical Memory in the Media Discourse on the Special Military Operation by Viktor A. Sidorov

“…The methodology applied is complex – both primary and secondary information analysis methods are used. For this purpose, a content analysis of the “Vremya” program broadcasts is conducted, a focus group is organized, and an array of sociological data from open sources of VTsIOM is selected. …”
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Multi-Domain Feature Incorporation of Lightweight Convolutional Neural Networks and Handcrafted Features for Lung and Colon Cancer Diagnosis by Omneya Attallah

“…It also applies feature selection based on minimum redundancy maximum relevance to the integrated deep and handcrafted features, guaranteeing optimal computational efficiency and high diagnostic accuracy. …”
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Reinjection of Produced Water into Formations in Unconventional Gas Reservoirs by Haosen Xing, Peng Zheng, Ping Yue, Yu Mu

“…This paper provides a comprehensive analysis of gas field produced water from four perspectives: water sources, chemical composition, treatment methods, and application scenarios. …”
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A critical analysis of the factors influencing peaceful coexistence between Rohingya refugees and host communities in Cox’s Bazar, Bangladesh by Abdul Kadir Khan

“…It concludes that closer proximity heightens integrated threats, whereas maintaining optimal distance enhances the likelihood of peaceful coexistence. …”
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Effective practices in enhancing autonomous English language learning through YouTube by Ritueli Daeli, Santosa Santosa

“…Future research should explore integrating YouTube with traditional pedagogical methods and leveraging its interactive features to enhance learner outcomes. …”
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Anthocyanidin pigments in clinical ophthalmology. Analysis of their profile in eye supplements and food additives containing bilberry extract by M. B. Gottikh, I. V. Vorob’eva, V. N. Tashlitskiy

“…To determine qualitative and quantitative content of bilberry anthocyanidin pigments in food additives. Materials and methods. Anthocyanidins from five samples were extracted with distilled water per anthocyanidin content. …”
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Instruction and demonstration-based secure service attribute generation mechanism for textual data by LI Chenhao, WANG Na, LIU Aodi

“…Attribute-based access control is fundamentally dependent on the secure service attribute calibration of object sources. Traditionally, the calibration of secure service attribute for textual data has been primarily reliant on human experts and machine learning methods, yet the efficiency and few-shot ability are insufficient. …”
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