Biopharmaceutical Trials of a Dosage Form, which Contain Methionine and Turmeric Extract (<i>Curcuma longa</i> L.) by O. A. Gizinger, A. A. Khisamova

Get full text

Physics-based simulation of seismicity based on fault kinematic models: a case study of the Northern Shanxi Rift, North China by Shangwu Song, Yuhang Li, Ming Hao, Peng Han, Ke Jia, Qingliang Wang

“…In contrast, the North Hengshan fault exhibits the lowest CoV value, indicating relatively stable seismicity and a quasi-periodic pattern. Correlation analysis between fault slip rates and recurrence interval variability reveals that faults with lower slip rates tend to exhibit stronger clustering behavior, while faults with higher slip rates tend to exhibit a more pronounced quasi-periodic pattern. …”
Get full text

Rock blasting evaluation - image recognition method based on deep learning by Haibao YI, Aixiang Wu, Xiliang Zhang

“…Abstract The image analysis of rock blasting fragmentation and half-hole rates serves as a pivotal basis for evaluating the quality of geotechnical blasting and pre-splitting blasting. …”
Get full text

Breast Diagnostic Tumor Using Compact Butterfly-Shaped Antenna Signals for Medical Sensor Applications by Hiwa Taha Sediq, Mohammad Fathi, Keyhan Hosseini, Bahman Mohammadi

“…Based on numerical simulations and preliminary experimental results, it can be confirmed that the Vivaldi antenna can be used in microwave tomography for detection of breast cancer in a better manner with higher accuracy, lower false positive rates and providing high gain of 8.51dBi.…”
Get full text

Mitigating retail rice price volatility for sustainable supply chains: an optimization and regression-based approach [version 2; peer review: 2 approved] by Arif Shafwan Rasyid, Lucia Diawati

“…The results indicate that bimonthly rice prices increases can be effectively controlled, with maximum price change rates maintained between 0.75% and 1.14% and a standard deviation ranging from 0.20% to 0.34%. …”
Get full text

Towards sustainable architecture: Enhancing green building energy consumption prediction with integrated variational autoencoders and self-attentive gated recurrent units from mult... by Qing Zeng, Fang Peng, Xiaojuan Han

“…This study addresses these challenges by proposing an advanced deep learning framework that integrates Time-Dependent Variational Autoencoder (TD-VAE) with Adaptive Gated Self-Attention GRU (AGSA-GRU). The framework incorporates self-attention mechanisms and Multi-Task Learning (MTL) strategies to capture long-term dependencies and complex patterns in energy consumption time series data, while simultaneously optimizing prediction accuracy and anomaly detection. …”
Get full text

Decomposing decision mechanisms in female substance use disorder: drift diffusion modeling of context-dependent biases in gain and loss processing by Hao Zhang, Gavin Kader, Huoyin Zhang, Haijian Zhao, Wanke Pan, Peng Lei

“…Additionally, they showed lower drift rates in gain scenarios, indicating reduced sensitivity to non-substance rewards, but higher drift rates in loss scenarios, suggesting heightened sensitivity to negative outcomes. …”
Get full text

Sociodemographic and sex differences in the global burden of hypertensive heart disease, 1990–2021: a population-based analysis by Fangfei Nie, Xiaorong Wang, Airong Yang, Jiaolong He, Jie Bai, Ping Yan, Xiaozhou Wang

“…Methods Data from the Global Burden of Disease Study 2021 were used to evaluate age-standardized DALY rates for HHD across five socio-demographic index (SDI) levels and by sex from 1990 to 2021. …”
Get full text

Morphological, technological and biopharmaceutical studies of alginate-chitosan microcapsules with vinpocetine by Yu. A. Polkovnikova, N. A. Severinova, K. N. Koryanova, U. A. Tulskaya, M. V. Grechkina

“…Studying the effect of the concentration of a sodium alginate solution on the release rate of Vinpocetine from the microcapsule samples has shown that at the concentration of 1%, the release rate is 41.17%, and at the concentration of 2.5% it is 4.5%. …”
Get full text

A Systematic State-of-the-Art Review of Asian Research on Principal Instructional Leadership, 1987–2024 by Philip Hallinger, Shengnan Liu, Pwint Nee Aung

“…This systematic state-of-the-art review analyzed the evolution of analytical models, research methods, and findings in Asian studies of instructional leadership that employed the Principal Instructional Management Rating Scale (PIMRS). The authors applied content analysis to 349 Asian instructional leadership studies sourced from multiple digital databases. …”
Get full text

Optimizing the Design of Soil-Mixing Blade Structure Parameters Based on the Discrete Element Method by Huiling Ding, Qiaofeng Wang, Mengyang Wang, Chao Zhang, Han Lin, Xin Jin, Haizhou Hong, Fengkui Dang

“…The key structural parameters included the bending line angle (<i>α</i>), bending angle (<i>β</i>), side angle (<i>δ</i>), tangential edge height (<i>h</i>), and bending radius (<i>r</i>); the straw burial rate (<i>Y</i>₁) and straw percentage in the seeding layer (<i>Y</i>₂) were selected as evaluation indicators. …”
Get full text

Use of a spatially distributed in-phase antenna to increase the noise immunity of signal reception by G. V. Kulikov, Yu. A. Polevoda, M. S. Kostin

Get full text

Evaluation of Unmanned Multicopters’ Performance Indicators for Pesticide and Agrochemical Application by V. P. Asovskiy, A. S. Kuzmenko, O. V. Khudolenko

“…The authors analyzed the impact of working speed of up to 10 meters per second, application rates of 2-30 liters per hectare, the size and characteristics of the field plot up to 200 hectares, traffic patterns and other factors on productivity and multicopter treatment cost.  …”
Get full text

Global epidemiological trends and burden of cervical and subcervical spinal cord injuries, 1990–2021: a multidimensional analysis using global burden of disease data by Wei Liu, Azhati Samuhaer, Kunpeng Lin, Mingchen Li, Chunyu Zang, Hongwei Liu, Haixiu Fan, Ke Shi, Donghai Li

“…CSCI and SSCI cases were stratified by age, sex, and Socio-demographic Index (SDI). Age-standardized rates (ASR) and estimated annual percentage changes (EAPC) were calculated. …”
Get full text

A novel transformer-based dual attention architecture for the prediction of financial time series by Anita Hadizadeh, Mohammad Jafar Tarokh, Majid Mirzaee Ghazani

Get full text

Features of geochemical processes in the catchment area of the river Kalaus in the Stavropol territory by Anastasia Sergeevnna Bluzhina, Inna Vladimirovna Begday

Get full text

An adaptive spatiotemporal dynamic graph convolutional network for traffic prediction by Zhiguo Xiao, Qi Shen, Changgen Li, Dongni Li, Qian Liu

“…Concurrently, the model synergistically integrates dynamic graphs with gated recurrent units to achieve joint modeling of complex spatiotemporal dependencies. …”
Get full text

Ethnic differences in CKD progression among people with type 2 diabetes and rapid eGFR decline: A secondary data analysis by Thamer Alobaid, Matthew D. L. O’Connell, Janaka Karalliedde, Salma Ayis

“…Abstract Background People with type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD) exhibit diverse patterns of kidney function decline. However, there is limited evidence on the impact of ethnicity and diabetic retinopathy on the rate of estimated glomerular filtration rate (eGFR) decline and the progression of CKD. …”
Get full text

EEG–fNIRS signal integration for motor imagery classification using deep learning and evidence theory by Mohammed E. Seno, Niladri Maiti, Maulik Patel, Mihirkumar M. Patel, Kalpesh B. Chaudhary, Ashish Pasaya, Babacar Toure

“…For EEG signals, spatiotemporal features are extracted using dual-scale temporal convolution and depthwise separable convolution, and a hybrid attention module is introduced to enhance the network's sensitivity to salient neural patterns. For fNIRS signals, spatial convolution across all channels is employed to explore activation differences among brain regions, and parallel temporal convolution combined with a gated recurrent unit (GRU) captures richer temporal dynamics of the hemodynamic response. …”
Get full text

Short Text Classification Based on Enhanced Word Embedding and Hybrid Neural Networks by Cunhe Li, Zian Xie, Haotian Wang

“…Furthermore, we propose a dual-channel hybrid model based on a Gated Convolutional Neural Network (GCNN) and Bidirectional Long Short-Term Memory (BiLSTM), which jointly captures local features and long-range global dependencies. …”
Get full text