Local Government Supervision of the Circulation of Tuak (Alcoholic) Beverages in the Context of Implementing Public Order, Peace and Community Protection by Muhamad Haiqal Hakiki, Emilda Firdaus, Separen Separen

“…The data is then analyzed which is qualitative and then concluded using a deductive thinking method. Results Main Findings of the Research: The result of this study is that the supervision of the circulation of alcoholic beverages by the Pamong Praja Police Unit is still not optimal, as seen from the low intensity of raids and the lack of strict action against violators. …”
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HE ASSESSMENT OF SUSTAINABLE DEVELOPMENT FACTORS IN THE RURAL AREAS - A CASE STUDY FROM AZERBAIJAN by Fariz ALAKBAROV, Sait ENGINDENIZ, Ramina MUSTAFAYEVA, Muhammad ALAKBAROV

“…Simple statistical methods were applied in the evaluation of the data obtained, and average and percentage calculations were performed. …”
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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

“…Conclusions. The data obtained optimize dosing of food additives with bilberry extract by clinicians and patients considering individual tolerance, needs, and disease severity.…”
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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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Residual capsule network with threshold convolution and attention mechanism for forest fire detection using UAV imagery by Soufiane Ben Othman, Obaid Ali

“…Evaluated on a comprehensive UAV-sourced dataset of 14,140 images, ResCaps-TC-Attn-Fire achieves an impressive 99.78% accuracy, 99.7% precision, and 99.8% recall, surpassing existing methods like YOLOv3 (85.2%), ABi-LSTM (96.2%), and Enhanced YOLOv8n (99.0%). …”
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Prediction of electricity production by small wind power using artificial neural networks by Justyna Zalewska-Lesiak, Mateusz Oszczypała, Jerzy Małachowski

“…In this article, an artificial neural network method is used to evaluate the forecasting of wind energy production from a small wind turbine (SWT) installed in central Poland, reflecting inland wind conditions.MethodsA comprehensive set of algorithms and results from simulations are presented. …”
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Enhanced HER-2 prediction in breast cancer through synergistic integration of deep learning, ultrasound radiomics, and clinical data by Meijuan Hu, Lianying Zhang, Xiao Wang, Xuehua Xiao

“…We included ultrasound images and clinicopathologic data from 210 female breast cancer patients, employing a Generative Adversarial Network (GAN) to enhance image clarity and segment the region of interest (ROI) for Radiomics feature extraction. Features were optimized through Z-score normalization and various statistical methods. …”
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Financial Mechanism of Development of Innovative Territorial Clusters by A. V. Bogoviz, M. Ya. Veselovskiy, E. S. Kutukova, Y. V. Ragulina

“…In modern conditions intensify competition for limited financial resources that can be devoted to innovation, there is the issue of allocation of optimal ratio of sources as one of the most important criteria for the effectiveness of regional clusters in the implementation of real investment projects of innovation orientation. …”
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Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh. by Arman Hossain Chowdhury, Md Siddikur Rahman

“…Therefore, this study aimed to fill this gap by investigating the spatio-temporal pattern and identifying the best tree-based ML models for determining the meteorological factors associated with waterborne diseases in Bangladesh.<h4>Methods</h4>This study used district-level reported cases of waterborne diseases (cholera, amoebiasis, typhoid and hepatitis A) obtained from the Bangladesh Bureau of Statistics (BBS) and meteorological data (temperature, relative humidity, wind speed, and precipitation) sourced from NASA for the period spanning 2017 to 2020. …”
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Fractional Order PID Based Five-Step Li-Ion Battery Charger in Plug-in Hybrid Electric Vehicles by Manikandan M., Mohamed Shuaib Y.

“…To achieve this goal, the study reviews state-of-the-art energy sources, storage devices, power converters, and control strategies used in electric vehicles (EVs). …”
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Human as AI mentor: Enhanced human-in-the-loop reinforcement learning for safe and efficient autonomous driving by Zilin Huang, Zihao Sheng, Chengyuan Ma, Sikai Chen

“…On the other hand, the agent could be guided to minimize traffic flow disturbance, thereby optimizing traffic flow efficiency. In detail, HAIM-DRL leverages data collected from free exploration and partial human demonstrations as its two training sources. …”
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Impact of artificial intelligence-driven urban renewal strategies green economic efficiency and resident health in China by Jing Peng, Xin Fu, Yufan Peng, Yang Ding

“…Policymakers are encouraged to leverage AI in optimizing industrial structures, promoting green growth, and integrating health policy with technological innovation to improve urban residents’ quality of life.…”
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The Therapeutic Potential of Cannabidiol in the Management of Temporomandibular Disorders and Orofacial Pain by Karolina Walczyńska-Dragon, Anna Kurek-Górecka, Jakub Fiegler-Rudol, Aleksandra Nitecka-Buchta, Stefan Baron

“…Relevant studies were sourced from PubMed, Scopus, and Web of Science databases. …”
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Technical and Economic Assessment of Technologies for Forage Land Improvement by A. V. Lavrov, A. Kh. Tekushev, S. A. Davydova

“…(Research purpose) The paper aims to conduct a comparative assessment of the technical and economic indicators of traditional, intensive, and high technologies, as well as machine complexes, for forage crop production. (Materials and methods) The study is based on scientific publications from 2011 to 2022 that focus on the improvement of natural lands for forage crop production, as well as on analytical and information materials, and other available sources. …”
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