Organic Dye Photodegradation Using Niobium-Alkali Perovskite Photocatalysts: The Effect of the Alkali by Mirtha Z. L. L. Ribeiro, Igor F. Gomes, Edher Z. Herrera, Alexandre Mello, Marília O. Guimarães, Patrícia A. Carneiro, Débora C. M. Rodrigues, Wanderlã L. Scopel, Rodrigo G. Amorim, Mauro C. Ribeiro

“…This arises as a direct result of the variably deformed NbO₆ octahedra resulting from the different alkali used. …”
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Validation of an interferon-gamma enzyme-linked immunosorbent spot assay to evaluate cell-mediated immunity against severe acute respiratory syndrome coronavirus 2 by Yunhwa Kim, Eun-Jeong Jang, Ji-Young Hwang, Kyung-Min Lee, Sivilay Xayaheuang, Seok-Tae Choi, Hosun Park

“…The lack of a global standardized protocol and the high variability of intra- and inter-assay precision of the T-cell response made it difficult to compare T-cell assay results with those of other laboratories. …”
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Data-driven modeling and regression analysis on ship resistance of in-service performance by Daehyuk Kim, Shin Hyung Rhee

“…The analysis of added resistance due to waves shows significant, but sometimes inconsistent, transfer function coefficients, suggesting simpler model structures could be more effective. …”
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Same data, different results? Machine learning approaches in bioacoustics by Kaja Wierucka, Derek Murphy, Stuart K. Watson, Nikola Falk, Claudia Fichtel, Julian León, Stephan T. Leu, Peter M. Kappeler, Elodie F. Briefer, Marta B. Manser, Nikhil Phaniraj, Marina Scheumann, Judith M. Burkart

“…We investigated the impact of using different feature extraction (spectro‐temporal measurements, linear and Mel‐frequency cepstral coefficients (MFCC), as well as highly comparative time‐series analysis) and classification methods (discriminant function analysis, neural networks, random forests (RF), and support vector machines) on the consistency of caller identity classification accuracy across 16 mammalian datasets. …”
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Research on the Stability Prediction and Optimization of CNC Milling Based on Bagging–NSGAⅡ Under the Influence of Multiple Factors by Congying DENG, Qian YOU, Yang ZHAO, Lijun LIN, Guofu YIN

“…Taking these process parameters (<italic>x</italic>, <italic>y</italic>, <italic>z</italic>, <italic>d</italic>, <italic>h</italic>, <italic>n</italic>, <italic>a</italic>_p, <italic>a</italic>_e, <italic>f</italic>_z) as design variables, a multi-objective optimization model is constructed to balance machining efficiency and tool life. …”
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Hierarchical GraphCut Phase Unwrapping Based on Invariance of Diffeomorphisms Framework by Xiang Gao, Xinmu Wang, Zhou Zhao, Junqi Huang, Xianfeng David Gu

“…However, the presence of noise, occlusions, and piecewise continuous phase functions induced by complex 3D surface geometry makes the inverse reconstruction of the true phase extremely challenging. …”
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Predictive model for the therapeutic effect of bilateral subthalamic nucleus deep brain stimulation on the freezing of gait in Parkinson’s disease by Qi Limuge, Yuqing Zhang, Xiaofei Jia, Fang Wang, Dongsheng Yu, Lixia Chen, Li Zhang, Yongqiang Jiang, Yongqiang Jiang

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Influence of Migratory Strategy, Group Size, and Environmental Conditions on the Movements of Caribou in Eastern Alaska by Kyle Joly

“…Migration is a diverse behavior exhibited by a wide array of organisms. Variability in the type of movements is rooted in their purpose, environmental factors, demographics, and individual physiological condition. …”
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Signatures of Rapidly Rotating Stars with Chemically Homogeneous Evolution in the First Galaxies by Boyuan Liu, Yves Sibony, Georges Meynet, Volker Bromm

“…We find that the rest-frame UV luminosity of star-forming galaxies can be significantly enhanced by a factor of  ∼3−6 when CHE stars above a minimum initial mass of ${m}_{\star ,\min }^{\mathrm{CHE}}\sim 2-10\,{M}_{\odot }$ account for more than half of the total stellar mass following a Salpeter initial mass function. As a result, the UV luminosity functions observed at z  ∼ 12−16 can be reproduced with less extreme values of star formation efficiency and UV luminosity stochastic variability. …”
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Age-Related Differences in Bimanual Isometric Force Tracking by Elisa Galofaro, Nicola Vale, Giulia Ballardini, Nicola Smania, Maura Casadio

“…Notably, the percentage of total force exerted by the left hand was negatively correlated with the disparity between the left and right coefficients of variation. This study confirms previous findings on the effect of aging on bimanual force control and provides evidence suggesting that the contribution of each hand may depend on the variability in force exertion.…”
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Investigating Whether AI Will Replace Human Physicians and Understanding the Interplay of the Source of Consultation, Health-Related Stigma, and Explanations of Diagnoses on Patien... by Weiqi Guo, Yang Chen

“…The main effects and interaction effects of the variables were examined on individuals’ functional, relational, and emotional evaluations of the medical consultation. …”
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A New Ground-Motion Prediction Model for Shallow Crustal Earthquakes in Türkiye by Ulubey Çeken, Fadime Sertçelik, Abdullah İçen

“…Additionally, a heteroscedastic model was created for aleatory variability as a function of <i>M_W</i>. The closest distance to the surface projection of the fault plane (<i>R_JB</i>) is between 0 and 350 km. …”
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Drying kinetics and thermodynamic analysis; enhancing quinoa (Chenopodium quinoa Willd.) quality profile via pre-treatments assisted germination and processing by Jabir Khan, Palwasha Gul, Qingyun Li, Kunlun Liu

“…Principal Component Analysis revealed significant correlations between analyses, explaining 80.37 % variability. The intensity of functional groups decreased in the infrared spectra, although the transmission of signals was greater in pretreated samples than in control. …”
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Emerging Healthcare Technologies in Gastrointestinal Endoscopy: 75 Years of Evolution by Irina Florina CHERCIU HARBIYELI, Elena Daniela BURTEA, Vlad IOVANESCU, Dan Nicolae FLORESCU, Ion ROGOVEANU, Dan Ionut GHEONEA, Adrian SAFTOIU

“…Machine learning algorithms assist in real-time polyp detection, classification, and predictive analytics, enhancing diagnostic accuracy while reducing inter-observer variability and human error. Machine learning is advancing rapidly, but clinical implementation faces challenges, such as algorithm validation, interpretability, and regulatory concerns. …”
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Adult education and training for the development of problem-solving skills by I. A. Korshunov, S. V. Lubnikov, N. N. Shirkova

“…At the same time, problem-solving skills barely provide any increase in labour productivity in the routine fields, because such type of jobs does not involve behavioural variability, operational problem solving, and constant cooperation with other people.   …”
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AER-Net: Attention-Enhanced Residual Refinement Network for Nuclei Segmentation and Classification in Histology Images by Ruifen Cao, Qingbin Meng, Dayu Tan, Pijing Wei, Yun Ding, Chunhou Zheng

“…Moreover, the coarse predictions and refined predictions are combined by using a loss function that employs cross-entropy loss and generalized dice loss to efficiently tackle the challenge of class imbalance among nuclei in histology images. …”
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REALITIES AND EFFECTIVENESS OF THE UKRAINIAN BANKING SYSTEM by Maryna Korol, Olena Bazhenova, Ihor Korol, Grygoriy Starchenko, Volodymyr Bazhenov, Oksana Banna

“…In addition, during the year after the crisis, the volume of deposits in the banking system is demonstrating a decrease. Other variables do not show any response to the crisis. …”
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Accurate Sugarcane Detection and Row Fitting Using SugarRow-YOLO and Clustering-Based Spline Methods for Autonomous Agricultural Operations by Guiqing Deng, Fangyue Zhou, Huan Dong, Zhihao Xu, Yanzhou Li

“…This model introduces the WTConv convolutional modules to expand the sensory field and improve computational efficiency, adopts the iRMB inverted residual block attention mechanism to enhance the modeling capability of crop spatial structure, and uses the UIOU loss function to effectively mitigate the misdetection and omission problem in the region of dense and overlapping targets. …”
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Biomechanical Analysis of <i>Camellia oleifera</i> Branches for Optimized Vibratory Harvesting by Rui Pan, Ziping Wan, Mingliang Wu, Shikui Lu, Lewei Tang

“…The nonlinear least squares method, based on the hyperbolic tangent function, was employed to fit the bending load–deflection curves of the branches. …”
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Strategies to support the mental health and well-being of health and care workforce: a rapid review of reviews by Cindy E. Frias, Nimesh Samarasinghe, Cecilia Cuzco, Jaseem Koorankot, Andrés de Juan, Husameldin Mohamed Ali Rudwan, Hanan F. Abdul Rahim, Adela Zabalegui, Iain Tulley, Sanaa T. Al-Harahsheh, Mona Shaheen S. T. Al-Homaiddi, Meredith Fendt-Newlin, Jim Campbell

“…Sixteen studies reported two types of mental health and well-being interventions: individual-level interventions and organizational-level interventions with specific impact on mental health and work environment variables. No specific policy interventions were found. …”
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