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

“…NH₃-N concentration serves as a key indicator of treatment efficiency and environmental impact; however, its complex dynamics and the scarcity of measurements pose significant challenges for accurate prediction. …”
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NEW MEAT PRODUCTS WITH IMMUNOMODULATORY EFFECT CREATION METHOD by I. V. Kaltovich, O. V. Dymar

“…New meat products with immunomodulatory effect creation method reflecting differential characteristics of technological stages of manufacture of those types of meat products, including issues on the selection of primary and secondary raw materials, guidelines for development of formulations and production technologies, legislative requirements towards its labeling, etc, has been developed for the first time. …”
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DMoC-UNet: A Dynamic Mixture-of-Convolution Network for Enhanced Pathological Image Segmentation by Jingwei Zhu, Lining Qin, Zixin Teng, Xiaomin Li, Kuiwu Li, Haoran Chu

“…Pathological image segmentation is a cornerstone in medical image analysis and is crucial for tumor detection, tissue classification, and pathological diagnosis. …”
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Novel electrochemical sensor based on poly([Cu(H2O)2P2]I2)/GCE for the determination of trimethoprim in clinical samples and cow's milk samples by Melaku Metto, Alemu Tesfaye, Minaleshewa Atlabachew, Atakilt Abebe

“…A Novel bioanalytical detector based on Poly(Diaquabis(1,10-phenanthroline copper (II) Iodide) (poly([Cu(H2O)2P2]I2)/GCE) has been fabricated by potentiodynamic polymerization of [Cu(H2O)2P2]I2. The synthesized complex and the fabricated electrodes showed a promising electrocatalytic behavior towards the electrooxidation of Trimethoprim (TPM). …”
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Development of a Chemiluminescence Immunoassay for Quantification of 25-Hydroxyvitamin D in Human Serum by Shuang Han, Wuxian Qiu, Junlan Zhang, Zhonghu Bai, Xiao Tong

“…The method established shows good thermostability and performance. The limitation of detection (LoD) is 1.43 ng/mL. The intra-assay coefficient of variation (CV) is 3.66%–6.56%, the interassay CV is 4.19%–7.01%, and the recovery rate is 93.22%–107.99%. …”
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Integrating pyramid vision transformer and topological data analysis for brain tumor by Dhananjay Joshi, Bhupesh Kumar Singh, Kapil Kumar Nagwanshi, Nitin S. Choubey

“…IntroductionBrain tumor (BT) classification is crucial yet challenging due to the complex and varied nature of these tumors. We present a novel approach combining a Pyramid Vision Transformer (PVT) with an adaptive deformable attention mechanism and Topological Data Analysis (TDA) to address the complexities of BT detection. …”
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Graph cut-based segmentation for intervertebral disc in human MRI by Leena Silvoster, R. Mathusoothan S. Kumar

“…The polynomial time complexity of this approach enables the exploration of a globally optimal solution, eliminating the need for user interaction in seed point selection. …”
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Runoff Forecasting Research Coupling Quadratic Factor Screening and Deep Learning by CHENG Liwen, HUANG Shengzhi, LI Pei, LI Ziyan, JIA Songtao, HUANG Qiang

“…The effective screening of factors influencing runoff is a key aspect of runoff forecasting research.However,there are many factors affecting runoff,and these factors have complex interactions.Most of the existing studies use numerically driven models with primary factor screening,and the results show that the input factors are spatially redundant,leading to poor forecasting results.In view of this,the support vector regression (SVR) and the long-short memory network model (LSTM) are compared with Weihe River Basin as an example,and the LSTM model is selected as the optimal forecasting model.Principal component analysis and gray correlation analysis are used for secondary screening of the input terms to form a model coupling principal component analysis,gray correlation analysis,and LSTM.The results show that:①the fitting accuracy of LSTM is higher than that of SVR;②the secondary screening of the input terms improves the forecast accuracy,and the forecast accuracy of the coupled model is better than that of the single model,specifically,the model accuracy evaluation indexes of the coupled model are substantially improved compared with those of the single model;③the Nash efficiency coefficient and deterministic coefficient of the coupled model of gray system correlation analysis are improved by 0.13% and 0.03%,respectively,compared with those of the coupled model of principal component analysis,and the standard deviation ratio of observed values is improved by 42.9%.The study shows that the secondary factor screening by using gray correlation can effectively improve forecast accuracy.…”
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Regression Analysis to Predict the Length of Time to Complete a Thesis based on the Title by Al Aminuddin, Rahmat Hidayat, Gita Sastria, Astried Astried

“…In general, the difficulty or complexity of the thesis can be reflected through the title of the thesis that is appointed. …”
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The Study of Constructivistic Learning Experience, Democratic Attitude, Learning Independence & Learning Motivation of Senior High School Students at Wajo Regency South Sulawesi by Muhammad Arafah, Syamsu Rijal, Sumarni, Suriyah Satar, Besse Sulfiani

“…SEM results show that constructivist biology learning experiences positively influence learning motivation (path coefficient = 0.228), as does learning independence (path coefficient = 0.430). …”
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Skin Hydration Monitoring Using a Microwave Sensor: Design, Fabrication, and In Vivo Analysis by Shabbir Chowdhury, Amir Ebrahimi, Kamran Ghorbani, Francisco Tovar-Lopez

“…This advancement holds significant potential for skincare and biomedical applications, enabling detection without complex signal processing.…”
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Statistical mechanics of dynamical system identification by Andrei A. Klishin, Joseph Bakarji, J. Nathan Kutz, Krithika Manohar

“…To establish this analogy, we define the hyperparameter optimization procedure as a two-level Bayesian inference problem that separates variable selection from coefficient inference and enables the computation of the posterior parameter distribution in closed form. …”
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Development and reliability of test to measure perceptual-motor performance in combat sports: the Striking Reaction Time Task (SRTT) by Heloiana Faro, Lucas Arthur Duarte de Lima, Rodrigo Diego Morais da Silva, Arnaldo L. Mortatti, Daniel Gomes da Silva Machado

“…The intraclass correlation coefficient (ICC), coefficient of variation (CV), and minimal detectable change (MDC) of reaction time (RT) were analyzed. …”
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Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism by Yun Zuo, Gebiao Hu, Fan Gan, Zhiwu Zeng, Zhichi Lin, Xinxun Wang, Ruiqing Xu, Liang Wen, Shubing Hu, Haihong Le, Runze Wu, Jingang Wang

“…This study provides a new technical solution for extracting pure and impurity-free PEC signals in complex electromagnetic environments.…”
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Computational Intelligence-Based Structural Health Monitoring of Corroded and Eccentrically Loaded Reinforced Concrete Columns by Somain Sharma, Harish Chandra Arora, Aman Kumar, Denise-Penelope N. Kontoni, Nishant Raj Kapoor, Krishna Kumar, Arshdeep Singh

“…As the number of dependent parameters increases, assessing the residual life of the structural elements and providing a practically applicable suitable model become very complex. Machine learning (ML)-based prediction models are beneficial in dealing with such complex databases. …”
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A data-driven PCA-RF-VIM method to identify key factors driving post-fracturing gas production of tight reservoirs by Yifan Zhao, Xiaofan Li, Lei Zuo, Zhongtai Hu, Liangbin Dou, Huagui Yu, Tiantai Li, Jun Lu

“…Hydraulic fracturing technology has achieved remarkable results in improving the production of tight gas reservoirs, but its effectiveness is under the joint action of multiple factors of complexity. Traditional analysis methods have limitations in dealing with these complex and interrelated factors, and it is difficult to fully reveal the actual contribution of each factor to the production. …”
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Determination, Mobility and Risk Assessment of Pesticides in Ginseng Wine Using Dispersive Liquid–Liquid Micro Extraction Combined with GC-MS/MS and LC-MS/MS by Xuanwei Xu, Dan Zhao, Min Zhang, Xinxin Meng, Ying Chen, Xu Leng, Shuang Liang, Yueru Li

“…In this work, DLLME was extended to complex residues in the ginseng wine matrix. This study first focused on the selection of an appropriate solvent that enabled the dissolution of analytes from ginseng wine. …”
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Noise Directivity Reconstruction Radiated from Unmanned Underwater Vehicle’s Propeller Using the Equivalent Source Method by Shuai Jiang, Liwen Tan, Ruichong Gu, Zilong Peng

“…In this paper, a method for selecting elementary source configurations was proposed, considering the correlation coefficients that exhibit a strong correlation with the directivity function. …”
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Water transfer printing for integrating substrate-free temperature sensors onto curvilinear surfaces by R. Selmi, J. C. Fustec, F. Le Bihan, M. Harnois

“…This approach enables the fabrication of flexible temperature sensors on complex surfaces, exhibiting electrical performance comparable to conventional sensors, with a temperature coefficient of resistivity (TCR) of <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M3" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">3.0</mn><mo>×</mo><msup><mn mathvariant="normal">10</mn><mrow><mo>-</mo><mn mathvariant="normal">3</mn></mrow></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="51pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="50091dda1ceb2bc1a163192c01b209d9"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="jsss-14-133-2025-ie00002.svg" width="51pt" height="14pt" src="jsss-14-133-2025-ie00002.png"/></svg:svg></span></span> °C<span class="inline-formula">⁻¹</span>. …”
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Apple Yield Estimation Method Based on CBAM-ECA-Deeplabv3+ Image Segmentation and Multi-Source Feature Fusion by Wenhao Cui, Yubin Lan, Jingqian Li, Lei Yang, Qi Zhou, Guotao Han, Xiao Xiao, Jing Zhao, Yongliang Qiao

“…Four structural feature ratios were extracted, visible-light and multispectral vegetation indices were calculated, and feature selection was performed using Pearson’s correlation coefficient analysis. …”
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