Development of Thermoreversible Dental Gel with Berberine by A. G. Palvinskiy, E. O. Bakhrushina, Z. M. Kozlova, A. A. Sinitsyna, I. I. Krasnyuk

“…The obtained pH value is within the range of optimal diapason. Measurement of the specific peel force of the model gel sample showed pronounced mucoadhesive properties, which indicates that there is no need to adjust this parameter by introducing additional components into the formulation. …”
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Mechanistic insights into the Bushen Huatan Huoxue Formula and its components in ameliorating obesity-associated polycystic ovary syndrome by Yu-Xin Jin, Hang-Qi Hu, Jia-Cheng Zhang, Yu-Tian Zhu, Hao-Lin Zhang, Xi-Yan Xin, Rui-Wen Fan, Yang Ye, Yin Li, Dong Li

“…Methods In vivo, three-week-old female Sprague Dawley rats were divided into seven groups: control, dehydroepiandrosterone (DHEA), high-fat diet (HFD), model (HFD + DHEA), low-dose BHHF, high-dose BHHF, and metformin. …”
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Skin Microbiome alterations in heroin users revealed by full-length 16S rRNA sequencing by Ruiyang Tao, Xiang Wang, Xiaoyuan Zhen, Ruocheng Xia, Kaiqin Chen, Han Zhang, Yu Deng, Suhua Zhang

“…In addition, the Random Forest model constructed based on the RFE feature selection strategy demonstrated strong potential of OrE bacteria for distinguishing heroin users from non-users, achieving an optimal classification accuracy of over 94% and AUC values exceeding 0.988. …”
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Monitoring of the Physicochemical Properties and Aflatoxin of <i>Aspergillus flavus</i>-Contaminated Peanut Kernels Based on Near-Infrared Spectroscopy Combined with Machine Learni... by Yingge Wang, Mengke Li, Li Xu, Chun Gao, Cheng Wang, Lu Xu, Shaotong Jiang, Lili Cao, Min Pang

“…Three machine learning models—Backpropagation Neural Network (BPNN), Support Vector Machine (SVM), and Random Forest (RF)—were used to predict aflatoxin levels. …”
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An Improved One-Pot Procedure for Preparation Of N,N -Diethyl-m-Toluamide from m-Toluic Acid by Thinh Pham Duc, Thu Nguyen Van, Phuong Bui Thu, Chau Phan Dinh, Duc Viet Le, Duong Vu Binh

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Optimising test intervals for individuals with type 2 diabetes: A machine learning approach. by Sasja Maria Pedersen, Nicolai Damslund, Trine Kjær, Kim Rose Olsen

“…We find significant potential to free resources by prolonging the test interval for well-controlled patients. The fairness metric suggests models perform well in terms of equality. …”
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Enhanced fire hazard detection in solar power plants: an integrated UAV, AI, and SCADA-based approach by Andrii Lysyi, Anatoliy Sachenko, Pavlo Radiuk, Mykola Lysyi, Oleksandr Melnychenko, Oleksii Ishchuk, Oleg Savenko

“…A custom-trained YOLOv8 deep learning model performs automated defect detection from the captured imagery. …”
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Trajectory Planning Method for Mixed Vehicles Considering Traffic Stability and Fuel Consumption at the Signalized Intersection by Shan Fang, Lan Yang, Tianqi Wang, Shoucai Jing

“…Second, we propose a mixed-vehicle trajectory planning method based on a trigonometric model that considers prefixed traffic signals. The proposed method employs the proportional-integral-derivative (PID) model controller to simulate the trajectory when connected vehicles (equipped with internet access) follow the optimal advisory speed. …”
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Deep coalbed methane resource and its exploration and development prospect in East China by SANG Shuxun,HAN Sijie,ZHOU Xiaozhi,LIU Shiqi,WANG Yuejiang

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The seasonality of respiratory syncytial virus and its associations with meteorological factors in Hong Kong, 2014–2023 by Qian Xiong, Zhuyao Rong, Jinjun Ran, Xiang Ren, Li Li

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Dynamics of Oleo-Pneumatic Landing Gear Systems for Carrier-Based Unmanned Aerial Vehicles by Ali Dinc, Faruk Yildiz, Junkun Ma, Reg Pecen, Suleiman Obeidat, Ali Mamedov, Murat Otkur

“…The study investigates the performance of landing gears designed for carrier operations under various sink rates, utilizing computer simulations to model the dynamics of both sprung and unsprung masses. …”
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Growth and characterization of a tissue-engineered construct from human coronary artery smooth muscle cells by A. A. Sulgin, T. N. Sidorova, V. Y. Sidorov

“…Aim. To optimize a bioengineered I-Wire platform to grow tissue-engineered constructs (TCs) derived from coronary artery smooth muscle cells and characterize the mechano-elastic properties of the grown TCs.Materials and methods. …”
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Exploring genomic loci and candidate genes associated with drought tolerance indices in spring wheat evaluated under two levels of drought by Mohamed Mosalam, Rahma A. Nemr, Maha Aljabri, Alaa A. Said, Mohamed El-Soda

“…Additionally, genomic selection (GS) was performed using the rrBLUP model to predict trait performance across environments. …”
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Analysis of the Influence of Bearing Plate Position on the Uplift Bearing Capacity of Low-Header CEP Single-Pile Foundations by Yongmei Qian, Deshun Qi, Yu Mou, Xihui Wang, Ziyu Wang, Lin Sun, Zhongwei Ma

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Influence and Mechanism of Solid-Phase Particle Factors on Oil–Solid Separation of Oily Sludge Treated by Flotation Method by Shuhui Wu, Xue Yao, Xiao Wang, Wenyan Yuan, Qiuhong Li, Xiaoyin Niu, Yanfei Ma

“…The classical first-order model was well fitted to the flotation kinetic process of single-size sand and mixed-size sand OS. …”
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A method for determining fracturing radius of blasting holes based on SF6 gas tracing by Dongxu JIA

“…The spatial concentration gradient analysis method was adopted to establish a quantitative evaluation model of SF6 diffusion field and cracking radius. …”
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Analysis of the impact of price incentives and precipitation fluctuations on maize planting area and yield by Wang Hao, Yan Cao, Xiangdong Hu, Zhenxing Zhang, Mengyu Cai, Hui Zhou, Changyi Jiang

“…This study utilizes panel data from 116 prefecture-level cities across nine provinces in China from 2003 to 2019 to analyze the dynamic impacts of maize prices, fertilizer price indices, and monthly precipitation on maize planting area and yield, employing fixed-effects models and the GMM estimation method. The empirical model incorporates key variables such as the previous year’s maize price, fertilizer price index, precipitation from March to May (affecting planting area), and monthly precipitation from April to September (affecting yield), while also accounting for control variables including urban population density, effective irrigation rate, industrial structure, and mechanization level. …”
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The assessment of drought tolerance of winter soft wheat samples by a direct and an indirect method by V. L. Gaze, V. A. Likhovidova, E. V. Ionova

“…One of the indirect methods is the method of determining the level of resistance to complex drought; the samples ‘Asket’ (43%), ‘1237/13’ (40%), ‘Krasa Dona’ (33.0%), ‘260/09’ (31.0%), ‘Kazachka’ (31.0%), ‘1377/06’ (31.0%) showed the highest degree of resistance. In the conditions of model drought in comparison with the optimal conditions, all the studied samples showed a decrease of the trait ‘1000-kernel weight’. …”
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Facile Synthesis and Characterization of Novel Analcime/Sodium Magnesium Aluminum Silicon Silicate Nanocomposite for Efficient Removal of Methylene Blue Dye from Aqueous Media by Ehab A. Abdelrahman, Zahrah Alqahtani, Mortaga M. Abou-Krisha, Fawaz A. Saad, Reem K. Shah

“…The adsorption process was exothermic, spontaneous, and chemical in nature, following the pseudo-second-order kinetic model and Langmuir isotherm, confirming monolayer adsorption on homogeneous surfaces.…”
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The effect of probiotics on weight management in patients with severe obesity undergoing metabolic and bariatric surgery: a systematic review and meta-analysis by Shi Wang, Weibing Wu, Zhengwei Chen, Chaobo Xu, Kai Zhang, Xiaoya Xu

“…Inclusion criteria encompassed randomized controlled trials comparing probiotics with placebo in patients with severe obesity undergoing MBS. …”
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