SOCIO-ECONOMIC ASSESSMENT OF HUMAN RESOURCE MANAGEMENT EFFECTIVENESS UNDER UNCERTAINTY by Mykhailo Dreichuk, Yosyf Sytnyk

“…By addressing the limitations of traditional HRM evaluation methods, which often prioritize efficiency and cost control, the article proposes a more balanced and resilient approach suited for volatile environments. …”
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A Study on Cyclical Learning Rates in Reinforcement Learning and Its Application to Temperature and Power Consumption Control of Refrigeration System by Jingchen Wang, Kazuhiro Motegi, Yoichi Shiraishi, Seiji Hashimoto

“…The simulation results demonstrate the effectiveness of the cyclical learning rate method during the training phase, showcasing its potential to enhance learning efficiency and system performance in complex control environments.…”
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Changes in ultrasound and bioelectrical-derived body composition parameters in response to training load during pre-season in professional male road cyclists by Andrea Giorgi, Francesco Campa, Martino V. Franchi, Maurizio Vicini, Borja Martinez-Gonzalez

“…Ultrasonography and bioelectrical impedance vector analysis (BIVA) can serve as efficient methods to track changes in body fat and lean soft tissue. …”
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ST-MSRN: An enhanced spatio-temporal super-resolution model for complex meteorological data reconstruction by Ping Mei, Zhi Yang, Changzheng Liu, Lei Wang, Zixin Yin

“…Experimental results demonstrate: (1) Successful upscaling from 1.5° spatial/3-day temporal to 0.25°/daily resolution; (2) Superior performance over traditional methods (spline/nearest-neighbor interpolation) and mainstream deep learning methods, with marked improvements in key indicators such as structural similarity (SSIM) and peak signal-to-noise ratio (PSNR) for temperature and precipitation data, while the mean absolute error (MAE) and mean squared error (MSE) have been significantly reduced. …”
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Restoration of multi-channel signal loss using autoencoder with recursive input strategy by Jaejun Lee, Yonggyun Yu, Hogeon Seo

“…This recursive input strategy significantly enhances restoration accuracy and computational efficiency compared to conventional single-step methods. …”
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Examination and Analysis of Annual, Seasonal, and Monthly Variations in Atmospheric Carbon Dioxide Concentration Across the Middle East Region Utilizing SCIAMACHY, GOSAT, and OCO-2... by Seyed-Mohsen Mousavi, Naghmeh Mobarghaee Dinan, Saeed Ansarifard

“…Since the Industrial Revolution, the demandfor energy and the consumption of fossil fuels have escalated, leading to increased greenhouse gasemissions. While the input and output of atmospheric carbon dioxide have traditionally remainedin balance with nature, human activities and carbon dioxide emissions have disrupted thisequilibrium in recent decades, giving rise to climate change and global warming.Material and Methods: There are various methods for measuring atmospheric carbon dioxide.Remote sensing technology, in particular, has emerged as a solution, overcoming the limitationsof ground-based measurement methods by offering continuous monitoring and global coverageof greenhouse gases. …”
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Secure Indoor Water Level Monitoring with Temporal Super-Resolution and Enhanced Yolov5 by Sui Guo, Jiazhi Huang, Yuming Yan, Peng Zhang, Benhong Wang, Houming Shen, Zhe Yuan

“…Ensuring secure and efficient water level monitoring is critical for the intelligent management of hydropower plants, especially in challenging indoor environments. …”
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Brain Tumour Segmentation Using Choquet Integrals and Coalition Game by Makhlouf Derdour, Mohammed El Bachir Yahiaoui, Moustafa Sadek Kahil, Mohamed Gasmi, Mohamed Chahine Ghanem

“…These technologies enable efficient solutions for complex challenges, such as accurately segmenting brain tumour regions, which significantly aid medical professionals in monitoring and treating patients. …”
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SMANet: A Model Combining SincNet, Multi-Branch Spatial—Temporal CNN, and Attention Mechanism for Motor Imagery BCI by Danjie Wang, Qingguo Wei

“…Firstly, Sinc convolution is utilized as a band-pass filter bank for data filtering; Second, pointwise convolution facilitates the effective integration of feature information across different frequency ranges, thereby enhancing the overall feature expression capability; Next, the resulting data are fed into the MBSTCNN to learn a deep feature representation. Thereafter, the outputs of the MBSTCNN are concatenated and then passed through an efficient channel attention (ECA) module to enhance local channel feature extraction and calibrate feature mapping. …”
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Latent spectral-spatial diffusion model for single hyperspectral super-resolution by Yingsong Cheng, Yong Ma, Fan Fan, Jiayi Ma, Yuan Yao, Xiaoguang Mei

“…In recent years, significant advances have been achieved in addressing super-resolution (SR) tasks for hyperspectral images, primarily through deep learning-based methodologies. Nevertheless, methods oriented toward optimizing peak signal-to-noise ratio (PSNR) often tend to drive the SR image to an average of several possible SR predictions, resulting in visually over-smoothed outputs. …”
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On the effectiveness of neural operators at zero-shot weather downscaling by Saumya Sinha, Brandon Benton, Patrick Emami

“…Machine-learning (ML) methods have shown great potential for weather downscaling. …”
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Optimization of New Energy Storage System Configurations Considering Wind–Solar Energy Consumption Capacity by Haonan Dong, Zuoliang Yu, Yuehua Li, Qianwen Han, Li Zhou

“…The test results show that after the majorization of energy memory arrange by this method, the maximum values of distributed generation absorption ratio, load peak valley difference degree, and load fluctuation degree are 0.74, 0.15, and 0.17, respectively; energy utilization efficiency reaches 75.5%; the change of the state of condition of the vanadium redox battery is relatively gentle, and the fluctuation range is between 0% and 60%; the effective wind and solar absorptive capacity of each node is above 11 GW/h.…”
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Analysis of Factors Influencing the Development of Community-Based Tourism in Rural Areas, Case Study: Villages Targeted by Tourism in the Markazi Province by Hamid Afshari, Behrouz Mohammadi Yeganeh, Hossein Farahani, Mehdi Cheraghi

“…Thus, the aim of the present research is to find the variables affecting community-based tourism in the target villages of Markazi Province. The method of conducting this research was qualitative and was done using the content analysis method, and the data was analyzed using MAXQDA version 20 software. …”
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Application of artificial intelligence in the health management of chronic disease: bibliometric analysis by Mingxia Pan, Mingxia Pan, Rong Li, Junfan Wei, Huan Peng, Ziping Hu, Yuanfang Xiong, Na Li, Yuqin Guo, Weisheng Gu, Hanjiao Liu, Hanjiao Liu

“…Hoping our findings will serve as a useful reference for guiding further research and fostering the effective application of AI in healthcare.MethodsThe Web of Science Core Collection database was utilized as the source. …”
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GATCGGenerator: New Software for Generation of Quasirandom Nucleotide Sequences by O. Yu. Kiryanova, R. R. Garafutdinov, I. M. Gubaydullin, A. V. Chemeris

“…The tabular form shows how the input and output parameters are correlated in this case.Results. …”
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GAME AS AN ELEMENT OF HYGIENE MOTIVATION OF PRE-SCHOOLERS by V.S. Melnyk, L.F. Horzov

“… The aim of our research was to evaluate the effectiveness of a game in teaching the pre-schoolers, and the degree of learning to preserve children`s dental health. Materials and methods. 56 pre-schoolers of the Kindergarten № 6, aged 4-6, took part in our research. …”
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Daily Treatment Monitoring for Patients Receiving Home-Based Peritoneal Dialysis and Prediction of Heart Failure Risk: mHealth Tool Development and Modeling Study by Jia Wu, Youjia Zeng, Jun Yang, Yutong Yao, Xiuling Xu, Gaofeng Song, Wuyong Yi, Taifen Wang, Yihou Zheng, Zhongwei Jia, Xiangyu Yan

“…This novel paradigm is of great value for improving the efficiency, security, and personalization of peritoneal dialysis.…”
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On Fusing Wireless Fingerprints with Pedestrian Dead Reckoning to Improve Indoor Localization Accuracy by Gimo C. Fernando, Tinghao Qi, Edmund V. Ndimbo, Assefa Tesfay Abraha, Bang Wang

“…Using a weighted fusion method, the algorithm employs pedestrian dead reckoning (PDR) for trajectory tracking and combines its outputs with wireless signal fingerprints. …”
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AI-augmented pathology: the experience of transfer learning and intra-domain data diversity in breast cancer metastasis detection by Manuel Cossio, Nina Wiedemann, Esther Sanfeliu Torres, Esther Barnadas Sole, Laura Igual

“…These automated approaches offer potential improvements in detection consistency and efficiency compared to conventional methods.ResultsThis study leverages transfer learning on hematoxylin and eosin (HE) WSIs to achieve computationally efficient metastasis detection without compromising accuracy. …”
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Exploring ChatGPT's potential for augmenting post-editing in machine translation across multiple domains: challenges and opportunities by Jeehaan Algaraady, Mohammad Mahyoob

“…Subsequently, three additional professional human post-editors evaluated both sets of post-edited outputs. To statistically assess the differences in quality between humans and ChatGPT-4o post-edits, a paired t-test was employed, focusing on metrics such as fluency, accuracy, coherence, and efficiency.ResultsThe findings indicated that human post-editors outperformed ChatGPT-4o in most quality metrics. …”
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