Foliar nutrient diagnosis in Paeonia ostii: an integrated DRIS-RN-CND approach for the fruit expansion stage by MingWei Zhu, Wei Zhao, Yu Duan, Tao Huang, YuXiao Wang, LiYong Sun, LiYong Sun, ShuXian Li, ShuXian Li, ShuXian Li

“…Appropriate nutrient ranges were established by the Range of Normality method. In the low-yielding group, Cu and Mn levels exceeded the optimal values, while the concentrations of other elements fell within the appropriate range. …”
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Multi-omics derivation of a core gene signature for predicting therapeutic response and characterizing immune dysregulation in inflammatory bowel disease by Mingming Wang, Liping Liang, Zibo Tang, Jimin Han, Lele Wu, Le Liu, Le Liu, Ye Chen, Ye Chen

“…Current precision medicine approaches lack robust molecular tools integrating transcriptomic signatures with immune dynamics for personalized treatment guidance.MethodsWe performed multi-omics analyses of GEO datasets using machine learning algorithms (LASSO/Random Forest) to derive a four-gene signature. …”
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Simultaneous Determination of Quercetin and Trans-Resveratrol in Winemaking Waste by Solid Phase Microextraction Coupled to High-Performance Liquid Chromatography with Fluorescence... by Antonella Maria Aresta, Giovanna Mancini, Nicoletta De Vietro, Carlo Zambonin

“…Among these, the polyacrylate coating delivered the best analytical performance and was selected for further application. The optimized method was applied to analyze winemaking by-products (seeds, skins, and stalks) using SPME on ethanol-macerated extracts subjected to brief ultrasonication. …”
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Assessing impact of chamber restricted environmental stimulation therapy on stress and sleep quality among university students: an intervention study by Igor Bartolen, Petra Soláriková

“…Therefore, in our study, we focused on examining the effectiveness of Chamber REST variant, as a method for optimizing the stress response and sleep quality in the sample of university students. …”
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A Hierarchical Archimedean Copula (HAC) model for climatic variables: an application to Kenyan data by Kevin Otieno, Linda Chaba, Linda Chaba, Evans Omondi, Evans Omondi, Collins Odhiambo, Collins Odhiambo, Bernard Omolo, Bernard Omolo

“…The structure and parameter estimation of HAC models were determined using the Recursive Maximum likelihood (RML) method. Model selection methods, Goodness of Fit (GOF) approaches, and graphical assessment were used to select the optimal HAC model.ResultsThe Weibull distribution was identified as the best fit for temperature, humidity, solar energy, and cloud cover, while the Gamma distribution was most suitable for wind, and the logistic distribution for sea-level pressure. …”
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The investigation of properties of elastomer materials filled with modified carbon black and coupling agent. by Yu. V. Kornev, A. M. Bukanov, O. B. Yumashev, V. A. Zhogin, Yu. A. Gamlitsky

“…It allows to optimize hysteresis properties of elastomer composites, while modified carbon black leads to increasing in its hardness at impact load.…”
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A Novel Evolutionary Deep Learning Approach for PM_2.5 Prediction Using Remote Sensing and Spatial–Temporal Data: A Case Study of Tehran by Mehrdad Kaveh, Mohammad Saadi Mesgari, Masoud Kaveh

“…This paper employs a binary OA method for sensitivity analysis, optimizing feature selection by minimizing prediction error while retaining critical predictors through a penalty-based objective function. …”
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Asymmetrically Reconstructed Optical OFDM for Visible Light Communications by Jindan Xu, Wei Xu, Hua Zhang, Xiaohu You

“…For receivers, to recover the received signals precisely, we further develop an optimal maximum <italic>a posteriori</italic> detection method, along with an efficient simplified method. …”
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Quantitative structure-properties relationship, molecular dynamic simulations and designs of some novel lubricant additives by Usman Abdulfatai, Adamu Uzairu, Sani Uba, Gideon Adamu Shallangwa

“…Quantitative structure-properties relationship (QSPR) method was used to design some novel antioxidant lubricant additives, while molecular dynamics simulations were used to calculate their dynamic binding energies on steel and to hydrogen-containing DLC (a-C: H) crystal surfaces. 29 synthesized antioxidant lubricant additives were collected from literature and geometrically optimized by Spartan’14 version 1.1.2 software while Genetic Function Algorithm (GFA) method of the material studio version 8.0 software was used to build the predictive QSPR model. …”
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Predicting wildlife corridors for multiple species in an East African ungulate community. by Jason Riggio, Katie Foreman, Ethan Freedman, Becky Gottlieb, David Hendler, Danielle Radomille, Ryan Rodriguez, Thomas Yamashita, John Kioko, Christian Kiffner

“…To model robust corridors for multiple species and simultaneously evaluate the impact of methodological choices, we develop a multi-method approach to delineate corridors that effectively capture movement of multiple wildlife species, while limiting the area required. …”
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Health Care Professionals’ Perspectives on Using eHealth Tools in Advanced Home Care: Qualitative Interview Study by Eric Vincent Rivas, Ulf Lesley, Nadia Davoody

“… BackgroundThe rising demand for advanced home care services, driven by an aging population and the preference for aging in place, presents both challenges and opportunities. While advanced home care can improve cost-effectiveness and patient outcomes, gaps remain in understanding how eHealth technologies can optimize these services. eHealth tools have the potential to offer personalized, coordinated care that increases patient engagement. …”
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The impact of artificial intelligence on human resource management practices: An investigation by Thandukwazi R. Ncube, Kusangiphila K. Sishi, Jane P. Skinner

“…Motivation for the study: The motivation for this study was to identify both key benefits and possible limitations in the current employment of AI in HRM practices with a view to making recommendations for the optimal deployment of AI tools. Research approach/design and method: This study utilises the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) approach. …”
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A Scoping Review on Psychological Capital and Its Impact on Academic Outcomes by Huong Thi Pham, Phuong Vu Nguyen, Long Thanh Nguyen, Ho Phi Vu Pham, Loan Thi Nguyen

“…Future research should prioritize longitudinal designs, diverse samples, and multi-method approaches to enhance causal inferences and applicability, reinforcing PsyCap’s transformative potential in optimizing student success. …”
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Development of an algorithm for determining the heat transfer coefficient of the body of an isothermal vehicle based on the results of analysis of the heat exchange processes occur... by A. A. Golubin, S. N. Naumenko

“…The article analyzes the heat exchange processes the thermal imaging method using a thermal imaging device. An occurring in the body of an isothermal vehicle when determining algorithm for determining the heat transfer coefficient is proposed, the heat transfer coefficient K by the internal heating method. which makes it possible to calculate its value with an accuracy not The differences are shown in the values of the heat transfer coef-exceeding 5 %, which is regulated by a number of international ficients obtained by the equilibrium internal heating method and normative documents, while reducing the duration of the experiment by at least 6 times. …”
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Hybrid Transformer-KAN Within Federated Learning Framework: A Novel Machine Learning Approach for Improved Short-Term Weather Forecasting by Shuai Jin, Qiang Li, Sanqiu Liu, Olebogeng Kevin Joel, Xiaohu Ge

“…Furthermore, federated learning is applied to the proposed method to exploit the spatio-temporal dependencies while protecting data privacy. …”
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MODELING LONGITUDINAL MEASUREMENTS OF CLINICAL AND EPIDEMIOLOGICAL PARAMETERS USING JOINPOINT REGRESSION by Mihaela Moscalu, Ionela-Lăcrămioara Șerban, Norin Forna, Mihaela Pundiche, Loredana Mitran, Madalina-Elena Datcu, Nicolae Șerban Dragomir, Alin Constantin Pînzariu

“…Conclusions The utility of this method is highlighted in supporting evidence-based decision-making in both clinical practice and research, while also emphasizing the methodological challenges and future directions for development. …”
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SAR-SPA: Incorporating Target Scattering Characteristic Parameters in Adversarial Example Generation for SAR Imagery by Jiahao Cui, Jiale Duan, Binyan Luo, Hang Cao, Wang Guo, Haifeng Li

“…Deep neural networks (DNNs)-based SAR target recognition models are susceptible to adversarial examples, which significantly reduce model robustness. Current methods for generating adversarial examples for SAR imagery primarily operate in the 2-D digital domain, known as image adversarial examples (I-AE). …”
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Resource allocation for coexistence of eMBB and bursty URLLC based on queueing with preemption by Wei Guo, Kai Liang, Yuewen Song, Xiaoli Chu, Gan Zheng, Kai-Kit Wong

“…Based on this analysis, we formulate a mixed-integer nonlinear programming problem to minimize the average delay of URLLC packets while satisfying the average delay and throughput requirements of eMBB by jointly optimizing the eMBB subcarrier allocation, the URLLC subcarrier scheduling and the computing resource allocation. …”
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Synthesis of Global Reaction Routes Using Thermodynamic Evaluation by Consuelo C. G. Silva, Luiz Henrique S. Silva, Reginaldo Guirardello

“…Methane, a versatile and abundant resource, offers dual benefits: meeting energy demands while reducing environmental impacts through advanced conversion methods. …”
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Deep Residual Transfer Ensemble Model for mRNA Gene-Expression-Based Breast Cancer by Job Prasanth Kumar Chinta Kunta, Vijayalakshmi A. Lepakshi

“…Simulation results confirmed its robustness in terms of superior accuracy (99.91%), precision (99.65%), recall (99.81%) and F-Measure (99.72%) over other methods, signifying its optimality towards real-time and scalable breast cancer diagnosis.…”
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