An intelligent prediction method of gas concentration in coal mines based onimproved TCN-TimeGAN by Qingsong HU, Shuo ZHENG, Shiyin LI, Yanjing SUN

“…The experiment results show that the data generated by the proposed model can cover the original data distribution more comprehensively, and the mean square error (MSE), root mean square error (RMSE) and mean absolute error (MAE) of the results predicted from the generated data by the improved model are much smaller than those of the comparison model, and the prediction can be stable and accurate in all time periods.…”
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A Comparative Study of Storage Batteries for Electrical Energy Produced by Photovoltaic Panels by Petru Livinti

“…The work involved the construction of a model in MATLAB-Simulink for controlling the loading/unloading of storage batteries with energy produced by photovoltaic panels through a buck-type DC-DC convertor, controlled by means of the MPPT algorithm implemented through the method of incremental conductance based on a MATLAB function. The program for the MATLAB function was developed by the author in the C++ programming environment. …”
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A modern approach to identifying and characterizing child asthma and wheeze phenotypes based on clinical data. by Bronwyn K Brew, Flaminia Chiesa, Cecilia Lundholm, Anne Örtqvist, Catarina Almqvist

“…Latent class analysis using current and historical clinical symptom data generated asthma and wheeze phenotypes. Characterization was then performed with regression analyses using diagnostic data: lung function and immunological biomarkers, parent-reported medication use and risk-factors. …”
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The “Smart Home” Heat Supply System Based on District Heating with the Utilization of Secondary Energy Resources Using a heat Pump by I. L. Iokova, M. B. Perekhval, I. E. Migutskii

“…For clarity of the obtained data, a graph depicting the total steam load required for heating as a function of ambient temperature is constructed, as well as a graph showing the steam load as a function of the duration of the ambient temperature. …”
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MAP kinase phosphatase-2 plays a critical role in response to infection by Leishmania mexicana. by Mashael S Al-Mutairi, Laurence C Cadalbert, H Adrienne McGachy, Muhannad Shweash, Juliane Schroeder, Magdalena Kurnik, Callum M Sloss, Clare E Bryant, James Alexander, Robin Plevin

“…However, there was no intrinsic defect in MKP-2(-/-) T cell function as measured by anti-CD3 induced IFN-γ production. …”
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Effect of Calcium on the Characteristics of Action Potential Under Different Electrical Stimuli by Xuan Qiao, Wei Yao

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Supervised optimal control in complex continuous systems with trajectory imitation and reinforcement learning by Yingjun Liu, Fuchun Liu, Renwei Huang

“…Reinforcement learning (RL) automatically learns complex decisions through trial and error, but it requires the design of precise reward functions combined with domain knowledge. For complex scenarios where the reward function cannot be achieved or is only with sparse rewards, we proposed a novel supervised optimal control framework based on trajectory imitation (TI) and reinforcement learning (RL) in this paper. …”
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EVALUATING DEGREE OF ACTIVE POWER LOSSES REDUCTION IN THE ELECTRIC POWER LINES WITH REACTIVE POWER COMPENSATION by V. N. Radkevich, M. N. Tarasova

“…They perform mathematical analysis of the obtained functional relations and study the function by means of derivatives. …”
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New insights into measurement variability in glaucomatous visual fields from computer modelling. by Richard A Russell, David F Garway-Heath, David P Crabb

“…One million VF simulations were generated from 1,000 VFs (1,000 simulations per 'ground-truth' VF), and the variability of simulated MDs was characterized as a function of ground-truth MD and Pattern Standard Deviation (PSD).…”
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Predicting the Behavior of Road Users in Rural Areas for Self-Driving Cars by S. A. Ivanov, B. Rasheed

“…Another proposed feature is to use an adapted loss function that penalizes the network for generating trajectories that go beyond the drivable area. …”
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Workbench for a Parabolic Trough Solar Collector with a Tracking System by Luciano A. Fiamonzini, Gustavo A. R. Rivas, Oswaldo H. Ando Junior

“…One of the most mature and internationally known technologies is the parabolic trough solar collector (PTSC), which has several applications, such as electricity generation, desalination, steam generation, and refrigeration systems, among others. …”
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Microridge-like structures anchor motile cilia by Takayuki Yasunaga, Johannes Wiegel, Max D. Bergen, Martin Helmstädter, Daniel Epting, Andrea Paolini, Özgün Çiçek, Gerald Radziwill, Christina Engel, Thomas Brox, Olaf Ronneberger, Peter Walentek, Maximilian H. Ulbrich, Gerd Walz

“…Abstract Several tissues contain cells with multiple motile cilia that generate a fluid or particle flow to support development and organ functions; defective motility causes human disease. …”
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Investigation of TsGAN-based multimodal image fusion to augment image pre-processing abilities by Priyanka Bhatambarekar, Gayatri Phade

“…The TSGAN framework generates a unified texture map that captures essential gradient preservation into the generator’s loss function, the model successfully retains critical information about texture from the input source images. …”
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Effect of Post-Acute Kidney Injury Use of Renin-Angiotensin Inhibitors on Long-term Mortality and Major Adverse Kidney Events: A 5-year Retrospective Observational Cohort Study by Byorn W.L. Tan, Bryce W.Q. Tan, K. Akalya, Wei-Zhen Hong, Yi Da, Sanmay Low, Wan-Ying Ng, Horng-Ruey Chua

“…Although angiotensin-converting enzyme inhibitors (ACEis) or angiotensin receptor blockers (ARBs) have been widely used in proteinuric kidney disease to slow kidney function decline, the effect of ACEi/ARB use post-AKI on long-term kidney function remains unclear. …”
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To what extent is equity entrenched in HIV/AIDS-related policy documents in Ethiopia? A policy content analysis by Aklilu Endalamaw, Charles F. Gilks, Yibeltal Assefa

“…More attention is given to gender issues and health system governance than to other dimensions of equity. …”
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Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing by Jincheng Zhou, Umesh Kumar Lilhore, Poongodi M, Tao Hai, Sarita Simaiya, Dayang Norhayati Abang Jawawi, Deema Mohammed Alsekait, Sachin Ahuja, Cresantus Biamba, Mounir Hamdi

“…Therefore it requires more time to predict the best possible solution. …”
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Novel In Vitro Selection of <i>Trans</i>-Acting <i>BCL-2</i> mRNA-Cleaving Deoxyribozymes for Cancer Therapy by Veera Vijaya Basamshetty, Vijay Kumar Gangipangi, Uppulapu Shravan Kumar, Santhosh Shanthi Bhupathi, Sridhar Reddy Kaulagari, Prashant Giri, Swapnil Sinha, Utpal Mohan, Konstantinos Sdrimas

“…Additionally, investigating the underlying molecular mechanisms in more complex cancer models will further validate the observed effects.…”
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An inorganic-rich but LiF-free interphase for fast charging and long cycle life lithium metal batteries by Muhammad Mominur Rahman, Sha Tan, Yang Yang, Hui Zhong, Sanjit Ghose, Iradwikanari Waluyo, Adrian Hunt, Lu Ma, Xiao-Qing Yang, Enyuan Hu

“…Here, we use CsNO3 as a dual-functional additive to form stable interphases on both electrodes. …”
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A hybrid encryption framework leveraging quantum and classical cryptography for secure transmission of medical images in IoT-based telemedicine networks by Arslan Shafique, Syed Ali Atif Naqvi, Ali Raza, Masoud Ghalaii, Panagiotis Papanastasiou, Julie McCann, Qammer H. Abbasi, Muhammad Ali Imran

“…Initially, a Quantum Key Distribution (QKD) is employed to generate a shared key, which is then used to secure the symmetric keys via One-Time Pad (OTP) encryption. …”
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A non-sub-sampled shearlet transform-based deep learning sub band enhancement and fusion method for multi-modal images by Sudhakar Sengan, Praveen Gugulothu, Roobaea Alroobaea, Julian L. Webber, Abolfazl Mehbodniya, Amr Yousef

“…Abstract Multi-Modal Medical Image Fusion (MMMIF) has become increasingly important in clinical applications, as it enables the integration of complementary information from different imaging modalities to support more accurate diagnosis and treatment planning. The primary objective of Medical Image Fusion (MIF) is to generate a fused image that retains the most informative features from the Source Images (SI), thereby enhancing the reliability of clinical decision-making systems. …”
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