Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…However， traditional single-objective optimization methods， which aggregate multiple evaluation indices into a single weighted objective function， often face challenges. The manual determination of weight factors introduces subjectivity， which can significantly affect the accuracy of the results. …”
Get full text

Causal relationships of vegetation productivity with root zone water availability and atmospheric dryness at the catchment scale by G. W. Abeshu, H.-Y. Li, M. Shi, L. R. Leung

“…These findings underscore the need for a comprehensive functional framework that integrates catchment water supply, atmospheric demand, and vegetation productivity to enhance our understanding and predictive capabilities with regard to ecosystem responses to climate change.…”
Get full text

Explainable AI-driven assessment of hydro climatic interactions shaping river discharge dynamics in a monsoonal basin by Prashant Parasar, Akhouri Pramod Krishna

“…The main findings of this study are (1) KAN demonstrated high predictive performance with root mean squared error (RMSE) values ranging from 42.7 to 58.3 m3/s, Nash–Sutcliffe efficiency (NSE) between 0.80 and 0.87, mean absolute error (MAE) between 28.9 to 52.7 and R2 values between 0.84 and 0.90 across stations. (2) SHAP based feature contribution analysis identified Relative humidity (hurs), specific humidity (huss), and temperature (tas) as key predictors, while (pr) showed limited contribution due to spatial inherent inconsistencies in GCM precipitation data. (3) The bootstrapped SHAP distributions highlighted substantial variability in feature importance, particularly for humidity variables, revealing station specific uncertainty patterns in model interpretation. (4) The KAN framework results indicate strong temporal alignment and physical realism, confirming KAN’s robustness in capturing seasonal discharge dynamics and extreme flow events under monsoon influence environments. (5) In this study KAN with SHAP (SHapley additive exPlanations) is implemented for hydrological modeling under monsoon-influenced and data-limited regions such as SRB, offering improved accuracy, functional precision and efficiency compared to traditional models. …”
Get full text

Study of the possibility of controlling the production of low-molecular-weight heparin preparations by domestic test systems (review) by A. L. Berkovsky, E. V. Sergeeva, A. V. Suvorov

“…The data on the wide clinical use of low-molecular-weight heparin (LMWH) preparations are presented, necessitating the need for efficient and high-quality production of appropriate pharmaceuticals. …”
Get full text

Neutralizing monoclonal antibodies protect against human adenovirus type 55 infection in transgenic mice and tree shrews by Xinglong Liu, Zhengfeng Li, Xiao Li, Xiaoyan Zhang, Yali Zheng, Wan Su, Ying Feng, Yutong Liu, Weixuan Wu, Xikui Sun, Nana Wang, Xianmiao Ye, Zhichao Zhou, Wenkuan Liu, Jun He, Wei Wang, Linbing Qu, Rong Zhou, Ling Chen, Liqiang Feng

“…These mAbs recognized the hyper-variable-region (HVR) 1, 2, or 7 of viral hexon protein, or the fibre knob. …”
Get full text

ASSESSING THE FARMERS’ SATISFACTION WITH THE PARTICIPATORY COCONUT PLANTING PROJECT (PCPP) USING REGRESSION ANALYSIS by Leomarich F. CASINILLO

“…The data were summarized through descriptive calculations and determine the association of variables with the aid of regression analysis. Results of the study have depicted that coconut farmers, on average, are satisfied with the different functions of PCPP in regard to their farming activities. …”
Get full text

Fuzzy System for the Quality Assessment of Educational Multimedia Edition Design by Vsevolod Senkivskyy, Liubomyr Sikora, Nataliia Lysa, Alona Kudriashova, Iryna Pikh

“…A multilevel model of fuzzy logical inference is constructed, representing the dependency between quality factors. Membership functions for linguistic variables are formed and their weight coefficients are determined using pairwise comparison matrices. …”
Get full text

Combined analysis of 16S rRNA gene sequencing data reveals core vaginal bacteria across livestock species by Lucille C. Jonas, Lucille C. Jonas, Curtis R. Youngs, Stephan Schmitz-Esser, Stephan Schmitz-Esser

“…Recent publications have uncovered a high degree of variability of the livestock vaginal microbiota, making it difficult to focus functional research on individual microorganisms. …”
Get full text

How Life Experience Shapes Cognitive Control Strategies: The Case of Air Traffic Control Training. by Sandra Arbula, Mariagrazia Capizzi, Nicoletta Lombardo, Antonino Vallesi

“…For instance, different reliance on proactive versus reactive control strategies could explain inter-individual variability. In particular, specific life experiences, like a highly demanding training for future Air Traffic Controllers (ATCs), could modulate cognitive control functions. …”
Get full text

Development of a High-Cell-Density Production Process for a Biotherapeutic Yeast, <i>Saccharomyces cerevisiae</i> var. <i>boulardii</i>, for Use as a Human Probiotic by Ghaneshree Moonsamy, Sarisha Singh, Yrielle Roets-Dlamini, Koketso Kenneth Baikgaki, Santosh Omrajah Ramchuran

“…Once the optimised batch was validated in the replicate batches, the statistical analysis indicated a high level of reproducibility, with low variability across key performance indicators such as biomass concentration (unit), CFU production (CFU.mL⁻¹), and substrate utilization efficiency (g.g⁻¹). …”
Get full text

Optimization of the Fc-fusion protein refolding method produced from the bacterial expression system by P. S. Astrelina, S. A. Ishchuk, A. V. Kabanova, R. V. Drai

“…The production of Fc-fused proteins in prokaryotic systems often results in the formation of insoluble aggregates due to improper folding of polypeptide chains. To obtain functional proteins, a refolding step is required. However, developing refolding parameters can be time-consuming. …”
Get full text

The Hydrodynamic Performance of a Vertical-Axis Hydro Turbine with an Airfoil Designed Based on the Outline of a Sailfish by Aiping Wu, Shiming Wang, Chenglin Ding

“…Through Latin hypercube experimental design combined with optimization algorithms, four key geometric variables governing the airfoil’s hydrodynamic characteristics were systematically analyzed. …”
Get full text

A Comparative Study of Deep Reinforcement Learning Algorithms for Urban Autonomous Driving: Addressing the Geographic and Regulatory Challenges in CARLA by Yechan Park, Woomin Jun, Sungjin Lee

“…To evaluate the adaptability of each algorithm to geographical variability and complex traffic laws, scenario-specific reward and penalty functions were carefully designed and incorporated. …”
Get full text

Clinical significance of plasma-free amino acids and tryptophan metabolites in patients with non-small cell lung cancer receiving PD-1 inhibitor: a pilot cohort study for developin... by Akihiko Kawahara, Tetsuro Sasada, Koichi Azuma, Hidenobu Ishii, Norikazu Matsuo, Takaaki Tokito, Tomoaki Hoshino, Yohei Miyagi, Huihui Xiang, Tomoyuki Tagami, Rika Kasajima, Yumiko Kato, Sachise Karakawa, Shinya Kikuchi, Akira Imaizumi, Kenta Murotani

“…Background Amino acid metabolism is essential for tumor cell proliferation and regulation of immune cell function. However, the clinical significance of free amino acids (plasma-free amino acids (PFAAs)) and tryptophan-related metabolites in plasma has not been fully understood in patients with non-small cell lung cancer (NSCLC) who receive immune checkpoint inhibitors.Methods We conducted a single cohort observational study. …”
Get full text

A Combined Approach to Solving Applied Metal Forming Problems by Matvej Baldin, Nikita Kondratev, Peter Trusov, Kirill Ostapovich

Get full text

On a Solution of a Third Kind Mixed Integro-Differential Equation with Singular Kernel Using Orthogonal Polynomial Method by Ahmad Alalyani, M. A. Abdou, M. Basseem

“…The singular kernel is modified to take a logarithmic form, while the kernels of time are continuous and positive functions. Using the separation of variables technique, we have a system of Fredholm integral equations (FIEs) that can be transformed into an algebraic system after using orthogonal polynomials. …”
Get full text

Mathematical crystal chemistry II: Random search for ionic crystals and analysis on oxide crystals registered in ICSD by Ryotaro Koshoji

“…Additionally, discrete variables and constraint functions, which give a choice of creatable types of geometrical constraints depending on the spatial order of atoms, are implemented to formalize the feasible atomic environment, such as the composition of coordination polyhedra, resulting in acceleration of structure search and decrease of the number of local minima. …”
Get full text

Factors Influencing The Use of QRIS in Digital Transactions by Fadhil Muhammad, Arif Imam Suroso, Setiadi Djohar

“…Purpose: The purpose of QRIS is to expand the efficient acceptance of non-cash payments, focusing on traditional mass economic functions (such as traditional markets and MSMEs). …”
Get full text

Optimization of the encapsulation of arazá pulp by spray drying: Physicochemical, morphological and in vitro digestion studies by Greilis Quintero-Gamero, Francis S. Sánchez-Garzón, Aureliano Rodríguez-Cortina, María Hernández-Carrión, Luz Stella Nerio

“…Yield (Y), moisture (M), water activity (aw), water solubility index (WSI), hygroscopicity, ascorbic acid and phenolics encapsulation efficiency (EEAA, EEP), and the retention efficiency of DPPH and radical scavenging capacity (DPPH, ABTS) were studied as response variables; being Y, M, aw, WSI and EAA the ones considered for optimization purposes. …”
Get full text

International Natural Uranium Price Prediction Based on TF-CNN-BiLSTM Model by YANG Jingzhe, XUE Xiaogang

“…The study meticulously constructed and trained the TF-CNN-BiLSTM model using TensorFlow with the Adam optimizer and mean squared error loss function. The training process was optimized with learning rate reduction and early stopping callbacks to prevent overfitting. …”