Analysis of the development of electric drives for oil rocking machines by the results of patent search by I. V. Ivshin, A. R. Safin, R. R. Gibadullin, T. I. Petrov, A. N. Tsvetkov, M. F. Nizamiyev, V. Yu. Kornilov

“…A literature review showed that the issues of control stations for sucker rod pumps, dynamometry, wattmetry, and the development of synchronous electric motors are rather deeply covered, on the other hand, the literature does not sufficiently reflect the problems of frequency regulation of synchronous motors, as well as the capabilities of intelligent control stations that would allow increase the level of oil production, optimize the technological process, significantly reduce the influence of the “human” factor improve production safetyThus, the need to create a competitive electric drive for oil pumping machines is the use of “smart” control systems that will regulate the operation of the well due to adaptive (based on automatic analysis of dynamograms and wattmetergrams) private regulation.…”
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Developing stock sentiment rank metric for forecasting stock sentiments: a statistical perspective by Rachna Sable, Aman Singh, Sudhanshu Gupta, Shivani Goel, Pallavi Parlewar

“…A comprehensive evaluation of sentiment analysis methodologies, including hybrid models, machine learning models, and lexicon-based models, is offered to facilitate the model selection process. From 2019 to 2024, 57 research articles were selected for review. …”
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Comparative Study to Evaluate Mixing Efficiency of Very Fine Particles by Sung Je Lee, Se-Yun Hwang

“…This research provides practical guidelines for optimizing industrial-scale particle-mixing processes and conducting computationally feasible, scalable, and reliable DEM simulations.…”
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Fairness modeling for topics with different scales in short texts by Chuangying Zhu, Yongyu Liang, Xinyuan Liang, Limiao Zhong, Fei Xie

“…In order to address the aforementioned issues, a fairness-oriented topic discovery approach (MixTM-G) is proposed. …”
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Bioremediation technology: A reliable and eco-friendly approach for the restoration of polluted environments by Mohammad Safari, Nasim Mosakhani, Ahmad Asl Hashemi, Gholamhossein Safari

“…Despite the numerous advantages of this technology, such as sustainability, low cost, and environmental compatibility, bioremediation faces significant challenges including biological specificity, environmental variability, site heterogeneity, scalability issues, and regulatory barriers. Overcoming these obstacles requires interdisciplinary research, development, and management. …”
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Cross-Modal Object Detection Based on Content-Guided Feature Fusion and Self-Calibration by Liyang Ning, Xuxun Liu, Luoyu Zhou, Xueyu Zou

“…First, we introduce a parallel network in the backbone to enable the model to process information from different modalities simultaneously. …”
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ESL-YOLO: Small Object Detection with Effective Feature Enhancement and Spatial-Context-Guided Fusion Network for Remote Sensing by Xiangyue Zheng, Yijuan Qiu, Gang Zhang, Tao Lei, Ping Jiang

“…To tackle these issues, we propose ESL-YOLO, which incorporates feature enhancement, fusion, and a local attention pyramid. …”
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Peacekeeping Strategies and the Role of Rwanda in the Conflict in the Democratic Republic of the Congo by Svetlana A. Bokeriya, Manasa Mahapa, Anita Kiamba

“…The paper employs a comprehensive approach to the processes and phenomena under consideration and uses the principle of critical evaluation of information. …”
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Predicting financial distress through ownership pattern: dynamics of financial resilience of Bangladesh by Shafiqul Alam, Sumon Kumar Das, Umma Rumman Dipa, Syed Zabid Hossain

“…Besides, effective overseeing process of institutional investors works as a deterrent to making freaky decisions. …”
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Predictive Analytics Leveraging a Machine Learning Approach to Identify Students’ Reasons for Dropping out of University by Asmaa El Mahmoudi, Nour El Houda Chaoui, Habiba Chaoui

“…This suggests that there are some issues that hinder the learning process. Several studies have highlighted the advantage of artificial intelligence (AI) technologies in providing explorative and predictive analyses that explain why students are dropping out, with the aim of improving the quality of teaching and providing an integrated learning environment. …”
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Life Cycle Assessment of Construction and Demolition Waste Management in Tehran, Iran by Mohammad Javad Amiri, Mehdi Asadbeigi

“…This condition, combined with the lack or inefficiency of municipal programs to manage C&D waste, has exacerbated urban issues related to C&D waste collection, transportation, and disposal. …”
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Hybrid AI and Big Data Solutions for Dynamic Urban Planning and Smart City Optimization by Wei Zhu, Wei He, Qingsong Li

“…Traditional methods often fall short in addressing these multifaceted issues, leading to inefficiencies and suboptimal outcomes. …”
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Screen Impressionism and Industrial Production Drama in the Film Your Contemporary by Yuli Raisman by Salnikova Ekaterina V.

“…The article analyses a range of female characters, artistic fixation of inter-gender issues, and transformation of attitudes towards work and vocational jobs. …”
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Development of An Optimal Low-Noise Voice-Coil Actuator for Precision Motion Control Applications by Suorena Saeedi, Ali Sadighi, Masoud Shariat Panahi

“…Before modeling, the characterization process is undertaken through a combination of simulation and experimental tests. …”
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On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

“…In this paper, we address the issues of the explainability of reinforcement learning-based machine learning agents trained with Proximal Policy Optimization (PPO) that utilizes visual sensor data. …”
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Aspects of design and calculation of a railway track intended for dedicated passenger lines by D. V. Ovchinnikov, K. A. Kul’gin

“…The structures of the track superstructure used for the transportation process at the present time were developed and implemented taking into account the mixed traffic — passenger and freight. …”
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Impact of Investment on Labour Productivity in Azerbaijan's Chemical and Petrochemical Industry by Vilayat Ismayilov, Nizami Gafarov, Sabina Valiyeva

“…The practical significance of this research lies in utilising the identified findings to tackle issues about enhancing labour productivity in Azerbaijan's economic sectors, thereby elevating this process to a higher level. …”
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How to use relevant data for maximal benefit with minimal risk: digital health data governance to protect vulnerable populations in low-income and middle-income countries by Nicki Tiffin, Asha George, Amnesty Elizabeth LeFevre

“…We discuss key components of each domain with a focus on their relevance to vulnerable populations in LMICs and examples of data governance issues arising within the LMIC context.…”
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Black Hole Algorithm for Software Requirements Prioritization by Norah Ibrahim Alfassam, M. Abdullah-Al-Wadud, Mubarak Rashed Alrashoud

“…With the increase in complexity in the software development process, the optimization of requirements management has developed into a critical and necessary task in Software Engineering. …”
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TSF-MDD: A Deep Learning Approach for Electroencephalography-Based Diagnosis of Major Depressive Disorder with Temporal–Spatial–Frequency Feature Fusion by Wei Gan, Ruochen Zhao, Yujie Ma, Xiaolin Ning

“…These data are then processed by a model based on 3D-CNN and CapsNet, enabling comprehensive feature extraction across domains. …”
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