Real-time ultra short-term irradiance forecasting using a novel R-GRU model for optimizing PV controller dynamics by N.B. Sushmi, D. Subbulekshmi

“…With a training time of 37 s and 16 epochs, the model ensures a rapid build process and precise predictions. Furthermore, the power output and optimal duty cycle corresponding to the predicted irradiance were estimated, and serve as an effective reference for the application of optimizing PV controller dynamics.…”
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Transforming Prediction into Decision: Leveraging Transformer-Long Short-Term Memory Networks and Automatic Control for Enhanced Water Treatment Efficiency and Sustainability by Cheng Qiu, Qingchuan Li, Jiang Jing, Ningbo Tan, Jieping Wu, Mingxi Wang, Qianglin Li

“…Furthermore, by integrating real-time sensor data with the Transformer-LSTM network and automatic control, substantial improvements in water treatment processes were achieved, resulting in a 26.9% reduction in energy or time consumption compared with traditional fixed processing cycles. …”
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Multiparametric MRI for the improved diagnostic accuracy of Alzheimer's disease and mild cognitive impairment: Research protocol of a case-control study design. by Albert Dayor Piersson, Buhari Ibrahim, Subapriya Suppiah, Mazlyfarina Mohamad, Hasyma Abu Hassan, Nur Farhayu Omar, Mohd Izuan Ibrahim, Ahmad Nazlim Yusoff, Normala Ibrahim, M Iqbal Saripan, Rizah Mazzuin Razali

“…Thus, the combination of multiparametric MRI is proposed to increase the accuracy of diagnosing MCI and AD when compared to elderly healthy controls.<h4>Methods</h4>This protocol describes a non-interventional case control study. …”
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Interpolymer Complexes Based on Eudragit^® EPO/Eudragit^® S100 as Carriers for Oral Controlled Drug Delivery Systems by A. V. Bukhovets, A. Y. Sitenkov, R. I. Moustafine

“…The resulting interpolymer complexes Eudragit® EPO/Eudragit® S100 are promising carriers in matrix oral systems for the controlled delivery of active pharmaceutical ingredients, providing a prolonged release of BCS class I substances, depending on the diffusion rate from the swollen matrix, and a delayed release of BCS class II substances, controlled by surface processes erosion of the matrix.…”
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Discrepancies between pre-specified and reported primary outcomes: A cross-sectional analysis of randomized controlled trials in gastroenterology and hepatology journals. by Bing-Han Shang, Fang-Hui Yang, Yao Lin, Szymon Bialka, Dina Christa Janse van Rensburg, Adriano R Tonelli, Sheikh Mohammed Shariful Islam, Izumi Kawagoe, Caroline Rhéaume, Kai-Ping Zhang

“…<h4>Background</h4>Previous research has raised concerns regarding inconsistencies between reported and pre-specified outcomes in randomized controlled trials (RCTs) across various biomedical disciplines. …”
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A randomised trial comparing usual versus strict home blood pressure control in elderly patients with hypertension: protocol and initial progress by Dong-Yan Zhang, Yi-Qing Zhang, De-Wei An, Yi-Bang Cheng, Song-Tao Tang, Min Liu, Jue Li, Jan A. Staessen, Ji-Guang Wang, Yan Li

“…The Home Blood Pressure Intervention in the Community Trial (HomeBP, [NCT05858944]) is addressing this issue by randomising elderly hypertensive patients to standard or tight HBP control.Methods and analysis HomeBP is an investigator-initiated randomised clinical trial with open design and blinded endpoint evaluation. …”
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Mechanism of the effect of Piper crocatum extract on wound healing of Wistar rats post-excision mammary tumor based on IL-10 level, TGF-β1 expression, VEGF expression, Collagen den... by Nike Sari Oktavia, Arifa Mustika, Afif Nurul Hidayati

“…The 30 rats were divided into 5 groups; red betel extract gel 50%, 25%, 12.5%; povidone iodine (PI) group as a positive control; and carboxymethyl cellulose natrium (cmc na) group as a negative control, 5 normal wounds as controls. …”
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Improving the Extraction Ability of Thermospheric Mass Density Variations From Observational Data by Deep Learning by Wenbo Li, Libo Liu, Yiding Chen, Zhuowei Xiao, Huijun Le, Ruilong Zhang

“…Controlled simulation experiments allow us to extract the effects of different physical processes, which improves the interpretability of the DL model. …”
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Research on Key Technologies of Image Steganography Based on Simultaneous Deception of Vision and Deep Learning Models by Fan Zhang, Yanhua Dong, Hongyu Sun

“…The VRIS model elevates visual security through the use of specialized feature extraction and processing methodologies. It meticulously conducts feature-level fusion between secret images and cover images, ensuring a high level of visual similarity between them. …”
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Vision-Language Model-Based Local Interpretable Model-Agnostic Explanations Analysis for Explainable In-Vehicle Controller Area Network Intrusion Detection by Jaeseung Lee, Jehyeok Rew

“…The Controller Area Network (CAN) facilitates efficient communication among vehicle components. …”
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Advantages and disadvantages of negative pressure wound therapy in equine wound treatment by Anastasiya A. Skvortsova, Ekaterina A. Pavlovskaya, Vladimir N. Obolenskiy

“…The most favorable phase of the wound process for application of the LNP method is revealed. …”
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Model of volunteering in the IDEF0 methodology by L. V. Pleskach

“…The relevance of the research is determined by the development of civil society in Russia, expressed, in particular, in the active participation of citizens in the volunteer movement to solve socially significant problems together with the state, business and non-profit organizations, whose participation is not limited only to regulatory regulation or financial support for volunteeringThe need to solve this issue determined the research problem, which is the insufficient systematization of factors influencing volunteer activity to determine ways of interaction of various subsystems of society with this process, as well as identifying controlling factors.The goal of the research is to build a model that reflects the mechanisms of interaction between the subsystems of society and volunteer activities related to its resource provision, goal setting, results and, in particular, social regulators.The main research method is the analysis of existing scientific views on volunteering in the context of the IDEF0 methodology.The result of the research is a model of volunteer activity developed using a systematic approach, which, unlike existing ones, allows us to streamline, group and classify the processes of goal setting, evaluation of results, resource provision of volunteer activity, and also to identify factors of social regulation.The key conclusions: the model constructed by the author illustrates the differences between control and resource factors, defines the necessary set of conditions for the implementation of volunteer activities, allows us to assess the features of participation in volunteer activities of both the state, business and non-profit sector, and society as a whole.…”
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Software Design of Secondary Programmable and Debugging Development for Converter by 罗凌波, 戴计生, 尚敬

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Implementation of the Integrated Lean Six Sigma Philosophy in an Angolan Manufacturing Company – a Case Study by Afonso Mkaka, Anna Burduk

“…Lean Six Sigma combines the features of both methods, which means that it meets the client's requirements based on statistical knowledge and the process flow control, but simultaneously in addition to that, it reduces the time and cost of the processes. …”
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Logging identification of karstified Jurassic conglomerate aquifer in the Zhuxianzhuang coal mine: implications for water abundance heterogeneity and mining risk mitigation by Zhu Guanyu, Zhu Guanyu, Jiang Bo, Jiang Bo, Li Ming, Li Ming, Song Yu, Song Yu, Cheng Guoxi, Cheng Guoxi

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Digital Economy as a Method of Integration into World Space by A. P. Garnov, O. N. Bykova

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Fine-scale landscape characteristics, vegetation composition, and snowmelt timing control phenological heterogeneity across low-Arctic tundra landscapes in Western Alaska by Dedi Yang, Wouter Hantson, Daniel J Hayes, Jin Wu, Shawn P Serbin

“…Our study highlights the impact of fine-scale vegetation composition, snow seasonality, and landscape features on tundra phenological heterogeneity. Improved understanding of such considerable intra-site phenological variability and associated proximate controls across extensive Arctic landscapes offers critical insights for representation of tundra phenology in process models and associated impact assessments with climate change.…”
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AE-XGBoost: A Novel Approach for Machine Tool Machining Size Prediction Combining XGBoost, AE and SHAP by Mu Gu, Shuimiao Kang, Zishuo Xu, Lin Lin, Zhihui Zhang

“…The subsequent SHAP analysis reveals the importance and interrelationship of features and provides a reliable decision support system for machine tool processing personnel, helping to improve processing quality and achieve intelligent manufacturing.…”
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Code vulnerability detection method based on graph neural network by Hao CHEN, Ping YI

“…The schemes of using neural networks for vulnerability detection are mostly based on traditional natural language processing ideas, processing the code as array samples and ignoring the structural features in the code, which may omit possible vulnerabilities.A code vulnerability detection method based on graph neural network was proposed, which realized function-level code vulnerability detection through the control flow graph feature of the intermediate language.Firstly, the source code was compiled into an intermediate representation, and then the control flow graph containing structural information was extracted.At the same time, the word vector embedding algorithm was used to initialize the vector of basic block to extract the code semantic information.Then both of above were spliced to generate the graph structure sample data.The multilayer graph neural network model was trained and tested on graph structure data features.The open source vulnerability sample data set was used to generate test data to evaluate the method proposed.The results show that the method effectively improves the vulnerability detection ability.…”
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Improving ductility via grain structure control in Sc/Zr modified Al-Cu-Li alloys by pulsed-laser powder bed fusion by Siyu Zhang, Wei Fan, Zhiwei Hao, Yongxia Wang, Mingji Dang, Yang Qi, Hua Tan, Fengying Zhang, Xin Lin

“…Here, we proposed a point-by-point deposition strategy based on pulsed-laser powder bed fusion (PLPBF) to precisely control grain structures in Sc/Zr modified Al-Cu-Li alloys. …”
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