Interaction of integral parameters of physical state and biological age of students aged 17-19 years old in the process of adaptation to standard and experimental physical educatio... by Oleksandr Pryimakov, Marek Sawczuk, Stanislav Prysiazhniuk, Georgiy Korobeynikov, Nataliya Mazurok

“…The degree of BA reduction under the influence of the studied factors is most pronounced in the EG of girls and boys. The variability of the group of PD and PF indices is accompanied by the variability of most of the BA parameters’ dispersion in all studied groups of students. …”
Get full text

The International Trauma Interview (ITI): development of a semi-structured diagnostic interview and evaluation in a UK sample by Neil P. Roberts, Philip Hyland, Robert Fox, Alice Roberts, Catrin Lewis, Marylene Cloitre, Chris R. Brewin, Thanos Karatzias, Mark Shevlin, Odeta Gelezelyte, Kristina Bondjers, Andrés Fresno, Alistair Souch, Jonathan I. Bisson

“…Correlations with the ITQ were good but coefficients for the level of agreement of PTSD diagnosis and CPTSD diagnosis between the ITI and the ITQ were weaker, and item level agreement was variable.Conclusion: Results provide support for the reliability and validity of the ITI as a measure of ICD-11 PTSD and CPTSD. …”
Get full text

Estimation of carbon sequestration capacity of urban green infrastructure by fusing multi-source remote sensing data by Jiahui Chang, Zhenfeng Shao, Jinyang Wang, Zhu Mao, Tao Cheng, Xiaodi Xu, Qingwei Zhuang

“…Urban green infrastructure significantly contributes to the carbon storage functions of urban ecosystems. Accurate selection and efficiently integrating remote sensing data are paramount for evaluating carbon storage at the small-scale of urban green infrastructure. …”
Get full text

EEGUnity: Open-Source Tool in Facilitating Unified EEG Datasets Toward Large-Scale EEG Model by Chengxuan Qin, Rui Yang, Wenlong You, Zhige Chen, Longsheng Zhu, Mengjie Huang, Zidong Wang

“…To tackle the challenges, this paper introduces EEGUnity, an open-source tool that incorporates modules of "EEG Parser", "Correction", "Batch Processing", and "Large Language Model Boost". Leveraging the functionality of such modules, EEGUnity facilitates the efficient management of multiple EEG datasets, such as intelligent data structure inference, data cleaning, and data unification. …”
Get full text

Optimization of Mangiferin extraction from Mangifera Indica leaves Peruvian Criollo variation using ultrasound assisted surface response methodology by Elena Sofia Espinoza Rodríguez, Stephanie Elena Sosa Pulcha, Naysha Y. M․ Elguera, Abdel Alejandro Portocarrero Banda, Hugo Guillermo Jiménez Pacheco

“…Additionally, FTIR analysis demonstrated that the extracted mangiferin preserved key functional groups such as hydroxyl (-OH), carbonyl (C = O), and aromatic C = C bonds. …”
Get full text

Biotinylated fusion protein-streptavidin-peroxidase complex based non-competitive magnetic immunoassay for rapid detection of organophosphorus pesticides by Ruirui Shi, Jiangke Li, Wenli Yu, Tengfei Yin, Haiyan Lin, Juan Liu, Wenyu Cui

Get full text

A Fractional Time–Space Stochastic Advection–Diffusion Equation for Modeling Atmospheric Moisture Transport at Ocean–Atmosphere Interfaces by Behrouz Parsa Moghaddam, Mahmoud A. Zaky, António Mendes Lopes, Alexandra Galhano

“…The framework employs the Caputo fractional derivative to represent temporal persistence and the fractional Laplacian to model non-local turbulent diffusion, and incorporates a stochastic term with a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1</mn><mo>/</mo><mi>f</mi></mrow></semantics></math></inline-formula> power spectral density to simulate environmental variability. An efficient numerical solution methodology is derived utilizing complementary Fourier and Laplace transforms, which elegantly converts spatial fractional operators into algebraic expressions and yields closed-form solutions via Mittag–Leffler functions. …”
Get full text

Enhancing epidemic preparedness: a data-driven system for managing respiratory infections by Moslem Sarani, Katayoun Jahangiri, Manoochehr Karami, Mohammadreza Honarvar

“…Results Key data categories include individual-level variables, such as age, symptoms, and vaccination records, alongside population-level metrics like infection rates and regional vaccination coverage enabling functionalities such as identifying high-risk individuals, tracking infection dynamics, and optimizing resource allocation. …”
Get full text

Prediction of suicidal attempts among Chinese adolescents with mood disorders: a clinical study using a machine learning approach by Jianbing Li, Yinqiu Zhao, Chi Yang, Wenqing Li, Zhihao Huang, Changhe Fan

“…However, there is a need for studies of accurate and efficient SA models specifically for use in adolescents with mood disorders due to a lack of existing research integrating risk variables when predicting clinical SA. …”
Get full text

Phenotypic yield-attributed traits and phytochemical composition of the flowers from Alcea species in Iran by Yasaman Mashhadi Tafreshi, Ghasem Eghlima, Samad Nejad Ebrahimi

“…The highest coefficient of variation was obtained for rutin, chlorogenic acid, antioxidant activity, flower dry weight. …”
Get full text

Handgrip Strength has Declined Among Adults, Particularly Males, from Shanghai Since 2000 by Dao Wang, Yang Liu, Justin J. Lang, Marilyn G. Klug, Ryan McGrath, Grant R. Tomkinson

“…A decline in adjusted HGS may represent a decline in the general/functional health of the population.…”
Get full text

Family hardiness among primary caregivers of breast cancer patients in Hunan Province: a cross-sectional study exploring the relationship with attachment and caregiver preparedness by Xin Sun, Lili Xu, Lijuan Sheng

“…BackgroundFamily hardiness is a key variable contributing to positive family functioning, which has significant effects on the quality of life and the mental health of patientsand caregivers. …”
Get full text

Life Cycle Assessment of Key Mediterranean Agricultural Products at the Farm Level Using GHG Measurements by Georgios Bartzas, Maria Doula, Konstantinos Komnitsas

“…The uncertainty analysis indicates that among the LCI-based scenarios evaluated, the IS scenario exhibits the lowest variability, with coefficient of variation (CV) values ranging from 0.5% to 7.3%. …”
Get full text

Monthly Monitoring of Inundated Areas and Water Storage Dynamics in China's Large Reservoirs Using Multisource Remote Sensing by Yongzhe Chen, Yiming Wang, Luoqi Li, Yanhong Cui, Xingwu Duan, Di Long

“…Abstract High‐frequency monitoring of reservoir inundation and water storage changes is crucial for reservoir functionality assessment and hydrological model calibration. …”
Get full text

Agonist-Antagonist Coactivation Enhances Corticomotor Excitability of Ankle Muscles by Trisha M. Kesar, Andrew Tan, Steven Eicholtz, Kayilan Baker, Jiang Xu, Joanna T. Anderson, Steven L. Wolf, Michael R. Borich

“…Three pairwise comparisons were made for MEP amplitude and coefficient of variability (CV): rest versus coactivation, rest versus antagonist activation, and agonist activation versus coactivation. …”
Get full text

Development and validation of a novel prediction model for osteoporosis: from serotonin to fat-soluble vitamins by Jinpeng Wang, Lianfeng Shan, Jing Hang, Hongyang Li, Yan Meng, Wenhai Cao, Chunjian Gu, Jinna Dai, Lin Tao

“…Stepwise discriminant analysis was performed to identify efficient predictors for osteoporosis. The prediction model was developed based on Bayes and Fisher’s discriminant functions, and validated via leave-one-out cross-validation. …”
Get full text

Shape Accuracy Improvement of the Flange Turning Process in Aluminum Aerosol Can Production by Istvan Sztankovics, Csaba Felho, Krisztina Kun-Bodnar, Zsolt Maros

“…These findings support more efficient production processes for aluminum aerosol bottles.…”
Get full text

Optimal Design of Interior Permanent Magnet Synchronous Motor Considering Various Sources of Uncertainty by Giacomo Guidotti, Dario Barri, Federico Soresini, Massimiliano Gobbi

“…The method incorporates an innovative use of the neural network-based variance estimation (NNVE) technique to efficiently calculate the standard deviation of the objective functions. …”
Get full text

Building Credible VTOL Flight Models for Handling Quality Certification by Simulation by Lorenzo Favaro, Agata Rylko, Giuseppe Quaranta

“…Applied to a lift + cruise VTOL model performing a deceleration-to-hover manoeuvre, the study demonstrates that while longitudinal control dynamics largely remained within MUAD limits, indicating the model’s credibility for those aspects, vertical axis dynamics coupled with longitudinal inputs for some uncertain configurations exceeded these limits, correlating with observed flight test performance variability. Readers will find a structured, quantitative approach to model validation for HQ certification by simulation, leveraging MUAD to determine if a nominal model is sufficiently representative for certification, thereby supporting safer and more efficient VTOL development.…”
Get full text

KNOT OPTIMIZATION FOR BI-RESPONSE SPLINE NONPARAMETRIC REGRESSION WITH GENERALIZED CROSS-VALIDATION (GCV) by Andre Fajry Al Barra, Dewi Retno Sari Saputro

“…Nonparametric regression is a statistical method used to model relationships between variables without making strong assumptions about the functional form of the relationship. …”
Get full text