Research kinetics of the monochloroacetic acid esterification by Yu. V. Karpenko, T. V. Panasenko, V. I. Hencheva, Ye. O. Karpun, M. D. Yarova

“…The purpose of this work was to investigate patterns of the esterification reaction between monochloroacetic acid and butan-1-ol in the presence of concentrated sulfuric acid. …”
Get full text

A retrospective study to understand the impact of flooding on natural selection and physical growth dynamics by Mithun Sikdar

“…With a 78.9% response rate, the study assessed height growth variation using the Preece and Baines Growth Curve Model 1. …”
Get full text

Research prevalence of psoriasis in countries and Ukraine by А. А. Kotvitska, V. V. Carlo

“…It should be noted that according to many experts the actual rate of this disease is much higher. According to unofficial sources in Ukraine with psoriasis suffer about 1.5 million of people (> 3% of the population). …”
Get full text

How to Study the Effects of Dietary Lipids on the Small Intestinal Microbiome? Methodological Design and Evaluation of the Human HealThy fAt, haPpy mIcRobiome (TAPIR) Proof-of-Conc... by Lonneke JanssenDuijghuijsen, Karen Fransen, Ruolei Deng, Corine Perenboom, Nicole de Wit, Guido Hooiveld, Mara van Trijp

“…There were no significant changes in gastrointestinal complaints and stool patterns during the study. Mean aspiration capsule retrieval rate was 94.7%, with mean sample weights per timepoint between 84.2 and 95.4 mg and median transit times between 32.8 and 49.3 h. …”
Get full text

Clinical characteristics of obsessive-compulsive disorder comorbid with obsessive -compulsive personality disorder: subtype implications by Ayse Dondu, Levent Sevincok

“…The severity of current OC symptoms was assessed using the Yale–Brown Obsessive Compulsive Scale (Y-BOCS), while depressive symptoms were measured with the Hamilton Depression Rating Scale (HDRS). Anxiety symptoms were also evaluated using the Hamilton Anxiety Rating Scale (HARS).ResultsAmong 148 OCD patients, 58.8% met the diagnostic criteria for OCPD. …”
Get full text

Burnout is a predictor of high ten-year risk of cardiovascular disease among health workers in Ghana by Kennedy Dodam Konlan

“…Abstract Introduction Burnout is said to affect a quarter of health workers globally and this rate is said to be higher in resource-constrained settings like those in sub-Saharan Africa. …”
Get full text

Effects of crushed wheat straw with plastic film mulch on soil hydrothermal properties and water use efficiency of sunflower in the northwestern arid region of China by Jinxia Zhang, Fangfang Ren, Rui Zhang, Lin Ding, Fuqiang Li, Xuan Li, Tao Zhong, Meng Yin, Liangliang Du, Runheng Yang, Pengliang Tian

“…Sunflower seedling emergence rate followed the order of SF > F > S > N, and M1 > M2. …”
Get full text

Dynamic simulations of feeding and respiration of the early Cambrian periderm-bearing cnidarian polyps by Yiheng Zhang, Xing Wang, Jian Han, Juyue Xiao, Yuanyuan Yong, Chiyang Yu, Ning Yue, Jie Sun, Kaiyue He, Wenjing Hao, Tao Zhang, Bin Wang, Deng Wang, Xiaoguang Yang

“…The simulations show that the rate of water inhalation by the polyp subumbrella is positively correlated with the rate of contraction and expansion of the coronal muscles, consistent with the previous feeding and respiration hypothesis. …”
Get full text

Molecular markers as predictors of response to perioperative chemotherapy in locally advanced gastric cancer by K. A. Oganyan, A. A. Musaelyan, S. V. Lapin, T. V. Kupenskaya, A. A. Sveсhkova, M. A. Belyaev, A. A. Zakharenko, S. V. Orlov

“…There was no association between an increase in KRAS copy number and objective response rate (p = 1.0). For microsatellite instability and other studied markers no statistically significant correlation with progression-free survival and objective response rate was found (p >0.05).Conclusion. …”
Get full text

Global burden of diphtheria, 1990–2021: a 204-country analysis of socioeconomic inequality based on SDI and DTP3 vaccination differences before and after the COVID-19 pandemic (GBD... by Zilun Wu, Zilun Wu, Liyu Lin, Liyu Lin, Jinbu Zhang, Jinbu Zhang, Jirui Zhong, Jirui Zhong, Donglan Lai, Donglan Lai, Donglan Lai

“…Analyses were stratified by region, sex, age, and socio-demographic index (SDI).ResultsBetween 1990 and 2021, the global age-standardized incidence rate (ASIR), mortality rate (ASMR), and DALY rate (ASMR) of diphtheria declined by 86.7, 75.0, and 86.4%, respectively, yet marked regional disparities persisted. …”
Get full text

Path to Heritagization in Landscape Architecture: A Review of the Regeneration Design of Beijing Changchunyuan Park by Yufan ZHU

“…This place is a gathering of temples and guild halls and a primary access route to Xuanwu Gate which is the southern gateway to the imperial city. …”
Get full text

A Novel 3D Paradigm for Target Expansion of Augmented Reality SSVEP by Beining Cao, Charlie Li-Ting Tsai, Nan Zhou, Thomas Do, Chin-Teng Lin

“…The 12-class 3D paradigm achieved an accuracy of 76.5% and an information transfer rate (ITR) of 70.42 bits/min using 1-second EEG segments. …”
Get full text

Effects of sodium alginate coating and cold plasma treatment on biochemical changes, microbial load, and microstructure of 'Granny Smith' apples during storage by Sifundo Mathe, Ngoako F. Monyela, Zinash A. Belay, Valmary M. van Breda, Oluwafemi J. Caleb

“…Hence, this study explored the impact of plasma-activated sodium alginate (SA) edible coating (CCP) on 'Granny Smith' apples, focusing on respiration rate (RRCO2), physical and biochemical quality attributes, natural microbial load, and fruit surface morphology. …”
Get full text

DiffuseGaitNet: Improving Parkinson’s Disease Gait Severity Assessment With a Diffusion Model Framework by Arshak Rezvani, Nasrin Ravansalar, Mohammad Ali Akhaee, Andrew J. Greenshaw, Russell Greiner, Maryam S. Mirian, Muhammad Yousefnezhad, Martin J. McKeown

“…These synthetic samples contain novel movement patterns not present in the observed data; systems trained on this information have better prediction performance. …”
Get full text

A PSO-CNN-LSTM Model for Seismic Facies Analysis: Methodology and Applications by Luyao Liao, Huailai Zhou, Junping Liu, Jie Zhou, Donghang Zhang, Jian Wang

“…Seismic facies analysis, as a crucial step in the study of depositional facies, effectively delineates the distribution patterns of depositional facies between wells. To address the limitations of conventional manual interpretation methods, particularly their low efficiency and strong subjectivity, this study proposes a hybrid CNN-LSTM model integrated with Particle Swarm Optimization (PSO-CNN-LSTM). …”
Get full text

Acute neuromuscular and cardiovascular effects of varying relative loads in cross-training modalities by Manuel Barba-Ruíz, Francisco Hermosilla-Perona, Francisco Hermosilla-Perona, José Miguel Fernández-Asensio, Marzo Edir Da Silva-Grigoletto, Adrián Martín-Castellanos, Juan Ramón Heredia-Elvar

“…This study aimed to compare acute effects on heart rate (HR), mean propulsive velocity (MPV), velocity loss, and pacing in participants performing AMRAP, EMOM, and RFT using the same absolute but varying relative loads. …”
Get full text

SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Next, a SOH estimation framework based on the CGKAN model is developed, where 1-Dimensional-Convolutional Neural Networks (1D-CNN) are used to extract deep features from the original data, Bidirectional Gated Recurrent Unit (BiGRU) captures the bidirectional dependencies of the time series, and Kolmogorov–Arnold Networks (KAN) enhances the modeling of complex nonlinear features through its nonlinear mapping capabilities, thereby improving the accuracy of SOH estimation. …”
Get full text

AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

“…The AEMS synergizes long-term preference patterns (derived from historical interactions) with real-time user intents and item attributes (captured through multibehavior signals), integrating them via an adaptive ensemble neural gating mechanism. …”
Get full text

Forecasting Sales in Live-Streaming Cross-Border E-Commerce in the UK Using the Temporal Fusion Transformer Model by Qi Zhang, Xue Li, Pengbin Gao

“…Our multimodal approach integrates diverse time series data, including historical sales, key opinion leader (KOL) influence, and seasonal patterns. The Temporal Fusion Transformer (TFT) model demonstrated consistently lower Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Squared Error (MSE) across all forecasting horizons compared to other machine learning approaches, including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Gated Recurrent Unit(GPU)-accelerated architectures. …”
Get full text

A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

“…We develop tailored models that enhance prediction accuracy by clustering patients based on carbohydrate (CHO) intake patterns. Utilizing Simple Recurrent Neural Network (SimpleRNN) and Gated Recurrent Unit (GRU) methods, the study evaluates the performance of local patients who contribute to training the cluster and global (non-cluster) models. …”
Get full text