The contribution of X to youth environmental movements addressing climate change: Effective impact or distorting noise? by Ángela Alonso-Jurnet, Ainara Larrondo Ureta, Jordi Morales-i-Gras

“…Given the significant influence and central role of the social media platform X (formerly Twitter) in promoting collective struggles and actions using hashtags, this study analyses the nature of the dialogue and the effectiveness of hashtags on the platform linked to the most controversial and subversive actions of these groups. Through an algorithmic analysis of nearly 280,000 tweets, the research characterises the main communities that have shaped the digital debate surrounding these ecological protest actions. …”
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A Signal Subspace Speech Enhancement Approach Based on Joint Low-Rank and Sparse Matrix Decomposition by Chengli SUN, Jianxiao XIE, Yan LENG

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Diabetes diagnosis using a hybrid CNN LSTM MLP ensemble by Yanmin Fan

“…An ensemble deep learning model is presented in this research for the diagnosis of diabetes which includes three steps. …”
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6G virtualized beamforming: a novel framework for optimizing massive MIMO in 6G networks by Ahmed M. Alwakeel

“…Our framework employs a combination of advanced machine learning algorithms and software-defined networking to dynamically allocate beamforming resources, improving adaptability in high-density environments and optimizing signal-to-noise ratios. …”
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Digitalization of human resource management: current trends and challenges for Russian enterprises by Mikhail K. Chernyakov, Irina A. Chernyakova

“…These include employee resistance to change, cybersecurity risks, the need to revise labor standards, and ethical concerns related to the use of AI algorithms. Special attention is given to regional specifics: while large companies actively adopt innovations, small and medium-sized businesses lag due to high technology costs and a shortage of qualified personnel. …”
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EXPERIMENTAL TRIAL OF USING THE SCIENTIFIC MULTIBEAM ECHOSOUNDER DESIGNED TO DETECT FISH IN A WILD FIELD OF VIEW by G. M. Abdurakhmanov, A. A. Teymurov, A. A. Gadzhiev, A. N. Dolgov, A. N. Kutsenko, M. A. Raskita, S. V. Tretyakov

“…Experimental trial of using the scientific multibeam echosounder installed on the research vessel “Issledovatel Kaspiya” was conducted in the Caspian Sea with the purpose to detect fish in a wild field of view.Methods. …”
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Hybrid LSTM–Attention and CNN Model for Enhanced Speech Emotion Recognition by Fazliddin Makhmudov, Alpamis Kutlimuratov, Young-Im Cho

“…In this research, we present a comprehensive speech emotion-recognition framework that amalgamates the ZCR, RMS, and MFCC feature sets. …”
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Corporate Social Responsibility: Completeness and Transparency of Information by M. V. Melnik, M. T. Velikhanov

“…The article presents the results of research in the field of increasing objectivity of information on the social responsibility of the state and business reflected in the reports of economic entities. …”
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Dataset creation of thermal images of pomegranate for internal defect detectionMendeley Data by Ashvini Gaikwad, Manoj Deshpande, Varsha Bhole

“…Datasets are crucial in various fields, especially in the context of machine learning, data science and research. Datasets are used to train machine learning models. …”
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Outage Analysis in SWIPT-Based Decode-and-Forward Relay Networks with Partial Relay Selection by Phu Tran Tin, Van-Duc Phan, Phu X. Nguyen, Thanh-Long Nguyen, Dong-Si Thien Chau, Tan N. Nguyen

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Predicting Alzheimer's Disease onset: A machine learning framework for early diagnosis using biomarker data by Shehu Mohammed, Neha Malhotra

“…In response to the formulated research problem, this study articulates a new multimodal machine-learning framework for early AD diagnosis. …”
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Automatic text generation system for endangered languages based on conditional generative adversarial networks by Zhong Luo

“…We discuss integrating advanced models like GPT-2 and RoBERTa to address training instability and gradient explosion challenges. Future research directions include optimizing CGAN parameters using algorithms like particle swarm optimization, refining discriminator outputs in loss calculations, and incorporating cultural and linguistic features specific to endangered languages to improve the quality of the generated texts.…”
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Filtering Techniques To Reduce Speckle Noise And Image Quality Enhancement Methods On Porous Silicon Images Layers by Tifouti Issam, Rahmouni Salah, Meriane Brahim

“…Furthermore, the description of these techniques facilitates the operations of evaluations and research with a more specific scope. This study initially covers the definition and modeling of speckle noise. …”
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A comprehensive deep learning approach to improve enchondroma detection on X-ray images by Ayhan Aydin, Caner Ozcan, Safak Aydın Simsek, Ferhat Say

“…The images were then annotated by orthopedic oncology specialists using advanced, state-of-the-art object detection algorithms trained with diverse architectural frameworks. …”
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Organization of Expert Activity on Digital Network Platforms by V. V. Zotov

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Minimizing Delay and Power Consumption at the Edge by Erol Gelenbe

“…Edge computing systems must offer low latency at low cost and low power consumption for sensors and other applications, including the IoT, smart vehicles, smart homes, and 6G. Thus, substantial research has been conducted to identify optimum task allocation schemes in this context using non-linear optimization, machine learning, and market-based algorithms. …”
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The future of education: Importance of ethical frameworks and cultural sensitivity by Baltezarević Borivoje V.

“…With the advent of artificial intelligence (AI) and advanced platforms such as ChatGPT, we are witnessing profound changes in the educational context that are increasingly becoming the focus of current scientific research and discourse. These technologies have the potential to completely redefine the future of education, introducing the possibility of personalized learning and the adaptation of teaching materials to the specific needs and abilities of each student. …”
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Faster? Softer? Or More Formal? A Study on the Methods of Enterprises’ Crisis Response on Social Media by Yongtian Yu, Weiming Ye, Kaihang Zhang

“…Algorithmic recommendation mechanisms of social media platforms, viral diffusion of user-generated content (UGC), and real-time public opinion pressures are fundamentally deconstructing the traditional corporate crisis response paradigm that used to rely on one-way statements and delayed reactions. …”
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Continuous Glucose Monitoring: A Transformative Approach to the Detection of Prediabetes by Liu X, Zhang J

“…Despite challenges such as cost and the need for effective utilization through training and education, CGM’s potential to revolutionize prediabetes management is evident. Future research should focus on refining CGM algorithms, exploring personalized intervention strategies, and leveraging wearable technology and artificial intelligence advancements to optimize glycemic control and patient well-being.Keywords: continuous glucose monitoring, prediabetes, glycemic control, diabetes prevention strategies, transformative approach…”
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Artificial Intelligence for Financial Accountability and Governance in the Public Sector: Strategic Opportunities and Challenges by Ceray Aldemir, Tuğba Uçma Uysal

“…However, challenges such as algorithmic bias, data privacy issues, and the need for strong ethical guidelines still exist, and these could hinder the equitable use of AI. …”
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