Solar FaultNet: Advanced Fault Detection and Classification in Solar PV Systems Using SwinProba‐GeNet and BaBa Optimizer Models by Praveen Kumar Balachandran, Muhammad Ammirrul Atiqi Mohd Zainuri, Faisal Alsaif

“…However, most of the existing research studies related to fault detection methods have suffered from low accuracy, higher error rates, and time‐consuming processes when dealing with complex fault types in real‐time. …”
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Machine Learning-based Complementary Artificial Intelligence Model for Dermoscopic Diagnosis of Pigmented Skin Lesions in Resource-limited Settings by Ryohei Kaneko, MD, Satoshi Akaishi, MD, PhD, Rei Ogawa, MD, PhD, FACS, Hiroaki Kuwahara, MD, PhD

“…The AI model achieved an average recall rate of 86.3%, precision rate of 87.3%, accuracy of 86.3%, and F1 score of 0.87. …”
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Genome-wide characterization of the β-galactosidase gene family and functional analyses reveal CaBGAL14-regulated pepper (Capsicum annuum L.) fruit cracking by Yan-Li Liu, Si-Yu Chen, Feihong Liang, Saeed ul Haq, Zhen-Hui Gong

“…Compared with the control fruit, the CaBGAL14-silenced fruits exhibited a higher fruit cracking rate, and had a thinner cuticle and more loosely arranged epidermal layer cells. …”
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Cross-sectional survey of orthotic service provision in the UK: does where you live affect the service you receive? by Nachiappan Chockalingam, Nicola Eddison, Aoife Healy

“…However, results highlight the large discrepancies in service provision between Trusts/HBs, the gaps in data capture and the need for the UK NHS to establish appropriate processes to record the quantity and quality of orthotic service provision. …”
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PECULIARITIES OF EXERCISING THE RIGHTS AND INTЕRESTS OF СHILDREN IN THE REPUBLIC OF KАZAKHSTAN IN THE FRAMEWORK OF THE COMPARATIVE ANALYSIS OF THE INTERNATIONAL STАNDARDS by К.Т. Жуманова, Ш.У. Ярилхапова, А.О. Ергебекова, А.Б. Тойжанова, М.Б. Биболаева

“…The key findings indicate that there are still existing challenges in the development of the legal framework including the covert nature of crimes, weak cooperation between organs and inadequate legal protection of children’s property and information. The cross sectional data also reveals that the governmet has contributed to this by decreasing the rate children of even crimes though against the rate of serious crimes is still worrisome. …”
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MATHEMATICAL MODEL OF DENGUE HEMORRHAGIC FEVER SPREAD WITH DIFFERENT LEVELS OF TRANSMISSION RISK by Faishal Farrel Herdicho, Nabil Azizul Hakim, Fatmawati Fatmawati, Cicik Alfiniyah, John Olajide Akanni

“…Key model parameters were estimated using DHF case data from East Java in 2018, employing a genetic algorithm (GA) to optimize the estimation process. …”
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Bentonite hydration effects on the engineering properties of a cement - sodium silicate slurry by Shengwei Wang, Yangjian Li, Bangbang Lu

“…The research results can provide data support for the design and construction of the cement - sodium silicate slurry in shield engineering.…”
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Base-catalyzed oxidation of poly (ethylene glycol) by alkaline permanganate: Part II. Kinetics and mechanistic of decomposition of coordination intermediate complex by Refat M. Hassan, Suzan A. Sayed, Samia M. Ibrahim

“…The influence of the alkali concentration on the decomposition rate constants indicated that the oxidation rates were increased with increasing the alkali concentration, therefore, the decomposition process was considered of base-catalyzed nature. …”
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Runoff Change in Upper Watershed of Tangwang River Based on CMIP-6 Climate Model by ZHAO Yusu, SUN Yingna, HUANG Xihao

“…To clarify the future change in air temperature, precipitation, and runoff in the upper watershed of Tangwang River, data from three scenarios (SSP1-2.6, SSP2-4.5, and SSP5-8.5) in the CanESM5 model of coupled model intercomparison project phase 6 (CMIP6) were adopted, and the future air temperature and precipitation were processed based on Delta downscaling method. …”
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Achieving high precision and productivity in laser machining of Ti6Al4V alloy: A comprehensive study using a n-predictor polynomial regression model and PSO algorithm by Avinash Chetry, Sandesh Sanjeev Phalke, Arup Nandy

“…In assessing the effectiveness and performance of the LBM process, three response functions—surface roughness, angle of kerf, and material removal rate—have been designated. …”
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Labor induction: change of indications and outcomes over time and future trends — a retrospective analysis by Aida Omerović, Sandra Pajek, Veronika Anzeljc, Faris Mujezinović

“…Background: The purpose of this study was to evaluate the results of induction of labor over time in order to identify future trends. Methods: Data were collected from a national database for University Medical Center Maribor on the pregnant women demographics, the indications for labor induction, the process of induction and delivery, and the outcomes of delivery for periods 2011‒14 and 2015‒18. …”
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Degradation of glaciers in the northern part of the Middle Range on Kamchatka Peninsula along the period from 1950 over 2016–2017 by A. Ya. Muraviev

“…It means that at the beginning of the twenty-first century the rate of reduction of glaciers is 4.3 times greater, i.e. about 1.45% of the area per year. …”
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ChatGpt’s accuracy in the diagnosis of oral lesions by Pedram Hajibagheri, Sahba Khosousi Sani, Mohammad Samami, Rasoul Tabari-Khomeiran, Kiana Azadpeyma, Mohammad Khosousi Sani

“…Result ChatGPT-4.0 demonstrated an accuracy rate of 97% for easy questions, 86.5% ± 34.6% for medium-level questions, and 78.4% ± 41.7% for difficult questions, with an overall accuracy rate of 87.4% ± 33.3. …”
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Cell Size Critically Determines Initial Retention of Bone Marrow Mononuclear Cells in the Heart after Intracoronary Injection: Evidence from a Rat Model. by Niall G Campbell, Masahiro Kaneko, Yasunori Shintani, Takuya Narita, Vinit Sawhney, Steven R Coppen, Kenta Yashiro, Anthony Mathur, Ken Suzuki

“…The initial (5 minutes after intracoronary injection) retention rate of BMMNC was as low as approximately 20% irrespective of donor cell doses injected (1×106, 8×106, 4×107). …”
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Impact of cutting forces on surface quality in finish face milling of compacted graphite iron with CBN and nitride ceramic tools by S.I. Radkevych

“…For all the built models, the value of the determination coefficients R² is 96–99 %, which indicates a high accuracy of approximation of the experimental data. The results obtained make it possible to optimize the process of finishing the CGI due to the rational choice of milling modes with a constant geometry of the cutting tool. …”
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IMPROVEMENT OF EXPERT ANALYSIS FOR ROAD TRAFFIC ACCIDENTS USING COMPUTER SIMULATION PROGRAMS by S. A. Azemsha, V. N. Galushko, S. V. Skirkovski

“…Type of a vehicle and its loading rate, road conditions are not taken into account also in the case when deceleration is to be determined. …”
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TELEREHABILITATION. CURRENT OPPORTUNITIES AND PROBLEMS OF REMOTE PATIENT MONITORING by О. Романчук, О. Полянська, І. Полянський, О. Ясінська

“…Among the latest –studies of changes in heart rate, blood pressure, respiratory rate, oxygen saturation, ECG and EEG data. …”
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Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology by Ayako Yagahara, Masahito Uesugi, Hideto Yokoi

“…The evaluations included the quantitative metrics of BiLingual Evaluation Understudy (BLEU), Character Error Rate (CER), Word Error Rate (WER), Metric for Evaluation of Translation with Explicit ORdering (METEOR), and Bidirectional Encoder Representations from Transformers (BERT) score, as well as qualitative evaluations by four experts. …”
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Deep learning-based spatio-temporal fusion for high-fidelity ultra-high-speed X-ray radiography by Songyuan Tang, Tekin Bicer, Tao Sun, Kamel Fezzaa, Samuel J. Clark

“…In this paper, we investigate the use of a deep learning-based spatio-temporal fusion (STF) framework to fuse two complementary sequences of X-ray images and reconstruct the target image sequence with high spatial resolution, high frame rate and high fidelity. We applied a transfer learning strategy to train the model and compared the peak signal-to-noise ratio (PSNR), average absolute difference (AAD) and structural similarity (SSIM) of the proposed framework on two independent X-ray data sets with those obtained from a baseline deep learning model, a Bayesian fusion framework and the bicubic interpolation method. …”
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Polymorphism of xenobiotic biotransformation enzyme genes and their role in early pregnancy loss by S. V. Matoshin, S. V. Shramko

“…Today every fifth desirable pregnancy ends in early loss, and the rate of miscarriage does not tend to decrease and, in fact, increases every year. …”
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