Robust Switching Control and Subspace Identification for Flutter of Flexible Wing by Yizhe Wang, Zhiwei Xu, Wei Li

“…Active flutter suppression and subspace identification for a flexible wing model using micro fiber composite actuator were experimentally studied in a low speed wind tunnel. …”
Get full text

TO THE ISSUE OF INDICATORS OF BIOLOGICALLY VALUABLE FORESTS IN PROTECTED AREAS by Angelika A. Gaivoronslaya, Marina V. Dolganova, Vladimir T. Demikhov, Olga N. Chigrai, Dmitry I. Chuchin

“…The purpose of the article is to establish the presence of indicative biodiagnostic features in forest biocenoses in protected areas for assessment activities and management of the development of valuable communities in the Bryansk region. Materials and methods. When surveying forest biocenoses (first stage 2015, second 2022-2023) in six protected areas, in the tracts of a large city, route, geobotanical, coenopopulation methods were used, the Simpson index was calculated, and reforestation was identified. …”
Get full text

Using New York City’s Geographic Data in an Innovative Application of Generative Adversarial Networks (GANs) to Produce Cooling Comparisons of Urban Design by Yuanyuan Li, Lina Zhao, Hao Zheng, Xiaozhou Yang

“…This study employs a combination of qualitative and quantitative metrics to evaluate the performance of different model stages, selecting the most accurate model as the final experimental framework. …”
Get full text

Integrating Virtual Reality into Art Education: Enhancing Public Art and Environmental Literacy Among Technical High School Students by Chin-Wen Liao, Cheng-Chia Wang, I-Chi Wang, En-Shiuh Lin, Bo-Siang Chen, Wei-Lun Huang, Wei-Sho Ho

“…Based on the Creative Problem Solving (CPS) model and scaffolding theory, the course includes units on public art, aesthetic composition, and environmental issues. …”
Get full text

Unaccounted impacts of diterpene emissions on atmospheric aerosol loadings by Ana Maria Yáñez-Serrano, Josep Peñuelas, Oriol Jorba, Frans Graeffe, Melissa Meder, Olga Garmash, Yanjun Zhang, Haiyan Li, Yuanyuan Luo, Arnaud Praplan, Heidi Hellén, Siegfried Schobesberger, Lejish Vettikkat, Steven Thomas, Theo Kurtén, Ditte Taipale, Efstratios Bourtsoukidis, Alex Guenther, Mikael Ehn

Get full text

Features of the cytogram and cytokine profile of bronchoalveolar lavage fluid in experimental metabolic syndrome by O. V. Voronkova, J. G. Birulina, V. V. Ivanov, E. E. Buyko, I. E. Esimova, A. V. Grigorieva, I. A. Osikhov, N. A. Chernyshov, E. A. Motlokhova

“…The aim of the study was to identify the features of the cellular composition and cytokine profile of bronchoalveolar lavage fluid in rats in a model of diet-induced metabolic syndrome.Materials and methods. …”
Get full text

Near infrared spectroscopy analysis as a screening tool to classify milk from bovine subclinical mastitis and promote pathogen-based therapy by Pablo Rodríguez-Hernández, Nieves Núñez-Sánchez, Silvia Molina-Gay, Vicente Rodríguez-Estévez, Fernando Cardoso-Toset

“…The objective of this study was to evaluate near infrared spectroscopy (NIRS) analysis of milk samples as a screening method to discriminate SBM aetiology and promote pathogen-based therapy using predictive models. …”
Get full text

Research on the soil fractal characteristics and their correlation with soil properties in various forest types: insights from sub-humid area in Northern China by Yige Wang, Xiangyang Sun, Suyan Li, Bin Wei

“…The results indicated that the soil layer composition of forests were mainly sand (> 40%), followed by silt (> 25%) and clay (> 15%). …”
Get full text

A Comprehensive Study Employing Computational Analysis and Mendelian Randomization Has Revealed the Impact of Key Genes on Liver Cancer by Size Li, Wenying Qi, Junzheng Wu, Chunhua Luo, Shihao Zheng, Xu Cao, Wei Wang, Qiyao Liu, Hongbo Du, Xiaoke Li, Xiaobin Zao, Yongan Ye

“…We also used the CIBERSORT deconvolution method to evaluate immune cell composition in HCC tissues, followed by correlation studies examining relationships between our key genes of interest and various immune cell populations. …”
Get full text

Investigating male factors and their relationships with reproductive health outcomes: a case-control study protocol for Towards Optimal Fertility, Fathering, and Fatherhood studY (... by Fabian Yap, See Ling Loy, Yin Bun Cheung, Jerry Kok Yen Chan, Keith Godfrey, Chee Wai Ku, Jun Wei Pek, Melissa D/O Tharmalingam Durgahshree, Melinda Chan, Yie Hou Lee

“…Predictive male factors will be identified using the least absolute shrinkage and selection operator method, accounting for female factors. We will construct a logistic regression model incorporating both male and female factors to derive a fertility index, which will be evaluated using cross-validation on subsets of the study population. …”
Get full text

Non-Invasive Multiclass Diabetes Classification Using Breath Biomarkers and Machine Learning with Explainable AI by Alberto Gudiño-Ochoa, Julio Alberto García-Rodríguez, Raquel Ochoa-Ornelas, Eduardo Ruiz-Velazquez, Sofia Uribe-Toscano, Jorge Ivan Cuevas-Chávez, Daniel Alejandro Sánchez-Arias

“…This study presents a breath-based multiclass diabetes classification system leveraging only three gas sensors (CO, alcohol, and acetone) to analyze exhaled breath composition. <b>Methods</b>: Breath samples were collected from 58 participants (22 healthy, 7 prediabetic, and 29 diabetic), with blood glucose levels serving as the reference metric. …”
Get full text

Simulation and optimization of heat transfer in underground in-situ shale upgrading by LI Yuan, ZHONG Anhai, QIAN Qin, YU Denglang, ZHANG Yuzhe, ZHONG Yanlei, WANG Dan

“…A three-dimensional fracture-network heat transfer model was established. Combined with the finite element fluid simulation technology， the heat transfer law of the fracture-network was systematically simulated and analyzed， and the influence law of fracturing， gas injection volume， gas injection temperature， rock layer heating methods， and insulation on the heating effect of in-situ upgrading was explored. …”
Get full text

Unraveling the Distribution of Black Carbon in Chinese Forest Soils Using Machine Learning Approaches by Chen Zhao, Zhouyang Tian, Qiang Zhang, Yinghui Wang, Peng Zhang, Guodong Sun, Yuanxi Yang, Ding He, Shuxin Tu, Junjian Wang

“…Here, we characterized soil BC across 68 Chinese forest sites using benzene polycarboxylic acid method and developed machine learning (ML) models to predict and interpret potential impacts of soil organic matter (SOM) properties, soil physiochemical properties, meteorological conditions, wildfire history, and microbial diversity on BC. …”
Get full text

Pore structure and fractal characteristics of shale reservoirs in Jurassic Lianggaoshan Formation, northeastern Sichuan Basin by Qi LI, Ruiqian CHEN, Fei SHANG, Ling LI, Xin BAI

“…The average fractal dimension D1 of large pores, calculated using the water saturation method, averages 2.991 2, while that of small pores (D2) averages 2.679 2. …”
Get full text

In Vivo Evaluation of the Analgesic and Anti-Inflammatory Activity of <i>Thymus numidicus</i> Essential Oil by Ouardia Chaouchi, Velislava Todorova, Stanislava Ivanova, Elizabet Dzhambazova, Farida Fernane, Nacira Daoudi Zerrouki, Lyudmil Peychev, Kremena Saracheva, Michaela Shishmanova-Doseva, Zhivko Peychev

“…This study aimed to compare the chemical composition of essential oils (EOs) extracted from leaves and flowers using the gas chromatography–mass spectrometry method, as well as to investigate its analgesic and anti-inflammatory activities. …”
Get full text

Artificial intelligence–based diabetes risk prediction from longitudinal DXA bone measurements by Sulaiman Khan, Zubair Shah

“…To handle class imbalance, we augmented our data using Synthetic Minority Over-sampling Technique (SMOTE) and SMOTEENN (SMOTE with Edited Nearest Neighbors), and to further investigated the association between bones data features and diabetes status, we employed ANOVA analytical method. For diabetes onset prediction, we employed both conventional and deep learning (DL) models to predict risk factors associated with diabetes in Qatari adults. …”
Get full text

Ginger-derived carbon quantum dots as sustainable inhibitor of steel corrosion and barite precipitation by B. A. Abd-El-Nabey, S. El-Housseiny, D. E. Abd-El-Khalek, M. A. Abd-El-Fatah

“…Abstract A one-step pyrolysis was used to synthesize ginger carbon quantum dots (G-CDs), which were described using XPS, FTIR, XRD, EDX, and TEM to validate the different integrated functions, particle dimension, morphology, component composition, amorphous construction, and bonding types. …”
Get full text

Atmospheric Cold Plasma Technology Enabling Scalable Surface‐Independent Protein Immobilization for Biosensing Applications by Lieze Dankers, Bernard Nisol, Derick Yongabi, Tom Van der Donck, Jesús Gándara Loe, Patrick Wagner, Jin Won Seo, Rob Ameloot, Karen Leirs, Jeroen Lammertyn

“…Enzyme‐linked immunosorbent assay (ELISA)‐based model bioassays demonstrate protein‐independent functionalization and linker‐layer stability of at least one month (stored in air). …”
Get full text

Assessing the effects of reaction variables for enhanced chromium(III) adsorption efficiency using beidellite clay by Abduraboh Alraae, Ali Moussadik, Abdellah Benzaouak, Mohammed Kacimi, Mohammed Dahhou, Aicha Sifou, Adnane El Hamidi

“…Experimental data were modeled using Langmuir, Freundlich, and Sips isotherms, with the Langmuir model providing the best fit (R2 = 0.971), indicating homogeneous monolayer adsorption. …”
Get full text

Impact of amber powdered waste on the processability and properties of PCL-based materials by Cláudia A.B. dos Santos, Bartłomiej Kryszak, Michał Grzymajło, Łukasz J. Wilk, Patrycja Szymczyk-Ziółkowska, Adam Junka, Aleksandra Ujćič, Konrad Szustakiewicz

Get full text