Parametric study and optimization of thermal performance and pressure drop in heat sinks with double-layer porous microchannels by Fahimeh Aliyari, Keivan Fallah, Hossein Zolfaghary Azizi, Farhad Hosseinnejad

“…In this study, the effective parameters in thermal performance and pressure drop of heat sinks with double-layer porous microchannels were investigated. Initially, a heat sink with porous fins was simulated in ANSYS Fluent 18, and the results were validated against reference data. …”
Get full text

DFT Study of Initial Surface Reactions in Gallium Nitride Atomic Layer Deposition Using Trimethylgallium and Ammonia by P. Pungboon Pansila, Seckson Sukhasena, Saksit Sukprasong, Worasitti Sriboon, Wipawee Temnuch, Tongsai Jamnongkan, Tanabat Promjun

“…The initial surface reaction of gallium nitride (GaN) grown by atomic layer deposition (GaN-ALD) was investigated using density functional theory (DFT) calculations. …”
Get full text

On the Quest for Oxygen Evolution Reaction Catalysts Based on Layered Double Hydroxides: An Electrochemical and Chemometric Combined Approach by Isacco Gualandi, Elisa Musella, Giulia Costa, Massimo Gazzano, Erika Scavetta, Sergio Zappoli, Domenica Tonelli

“…The oxygen evolution reaction (OER) is a crucial process in various energy conversion and storage technologies, such as water electrolysis. …”
Get full text

Multi-layer frequency selective surface wideband filter with high selectivity operating in L, S, and C bands by Vincenzo Violi, Danilo Brizi, Agostino Monorchio

“…Unlike conventional 2D structures, the proposed multi-layer architecture improves bandwidth and filter selectivity while preserving an easy manufacturing process. …”
Get full text

Modelling and Predicting the Breaking Strength and Mass Irregularity of Cotton Rotor-Spun Yarns Containing Cotton Fiber Recovered from Ginning Process by Using Artificial Neural... by Mohsen Shanbeh, Hossein Hasani, Somayeh Akhavan Tabatabaei

“…The parameters of artificial neural network model, namely, learning, and momentum rate, number of hidden layers and number of hidden processing elements (neurons) were optimized to get the best predictive models. …”
Get full text

A two-parameter damage-controlled strength model to predict the fracturing of brittle rock mass at great depth by Songfeng Guo, Shengwen Qi, Shishu Zhang, Muhammad Faisal Waqar, Feng Xiong, Ning Liang, Bowen Zheng, Xingdong Ma, Fengjiao Tang

“…The stress and deformation process can then be accurately captured layer by layer under the excavation. …”
Get full text

TIM-FEM-ML synthetic technology for longitudinal optimization of tunnel excavated in the interlayered rock mass by Hui Li, Weizhong Chen, Xiaoyun Shu, Xianjun Tan, Qun Sui

Get full text

Analisys of thermal processes during induction surfacing by E. I. Marukovich, V. A. Kharkov, D. A. Meshkov, A. M. Kovalev, I. O. Sazonenko, G. V. Komissarov

“…Various conditions of heat distribution in the heated layer and its removal are modeled using differentiated thermal resistance. …”
Get full text

Effect of Rice Wine Processing on the Residue of the Chiral Pesticide Hexaconazole and Its Dietary Exposure Risk by ZHANG Jinxu, WANG Min, YANG Tianming, PANG Junxiao, WANG Zelan, SUN Dali

“…The dietary risk assessment results showed that the chronic risk quotients (CRQ) of (+)-hexaconazole and (-)-hexaconazole in paddy and brown rice were both greater than 100%, which decreased to acceptable levels of 6.2% and 5.2%, respectively after aleurone layer removal. The results of this study provide a basis for the dietary risk assessment of the chiral pesticide hexaconazole in rice wine processing.…”
Get full text

A Comprehensive Simplified Algorithm for Heat Transfer Modeling of Medium-Deep Borehole Heat Exchangers Considering Soil Stratification and Geothermal Gradient by Boyu Li, Fei Lei, Zibo Shen

“…Medium-deep borehole heat exchanger (BHE) systems represent an emerging form of ground source heat pump technology. Their heat transfer process is significantly influenced by geothermal gradient and soil stratification, typically simulated using segmented finite line source (SFLS) models. …”
Get full text

How Well Does the DOE Global Storm Resolving Model Simulate Clouds and Precipitation Over the Amazon? by Jingjing Tian, Yunyan Zhang, Stephen A. Klein, Christopher R. Terai, Peter M. Caldwell, Hassan Beydoun, Peter Bogenschutz, Hsi‐Yen Ma, Aaron S. Donahue

“…This study highlights the potential use of high‐resolution ground‐based observations to diagnose convective processes in global storm resolving model simulations, identify key model deficiencies, and guide future process‐oriented model sensitivity tests and detailed analyses.…”
Get full text

Variable-Diameter Deployable Structure Composite Preforms Made by Braiding and Needle-Punching Integrated Forming Technology by Zhengxi Zhou, Zitong Guo, Zhongde Shan, Zheng Sun, Jun Zhang, Fengchen Geng, Yaoyao Wang, Tianzheng Yang, Zhiqi Zhuang

Get full text

Simulation of Soil Water and Heat Transfer on the Qinghai-Xizang Plateau Using the BCC-CSM Model with Enhanced Soil Stratification and Freeze-Thaw Gravel Parameterization by Fali YANG, Xianyu YANG, Shihua LV

“…This study aims to improve the accuracy of simulating soil hydrothermal processes on the Qinghai-Xizang Plateau by introducing a novel soil stratification method combined with an integrated freeze-thaw gravel parameterization scheme.The region's unique topography and complex climate pose challenges for conventional numerical models in achieving precise simulations.The proposed scheme incorporates freeze-thaw parameterization， gravel parameterization， and refined vertical soil discretization， offering a more comprehensive representation of the soil characteristics and terrain complexity specific to the Qinghai-Xizang Plateau.To evaluate the effectiveness of the scheme， the BCC-CSM atmospheric circulation model， provided by the National Earth System Modeling Center， was used for testing.The results demonstrate that integrating freeze-thaw and gravel parameterization significantly improves the representation of soil hydrothermal distributions， especially during the winter and at greater soil depths.By refining the soil stratification to 20 and 30 layers， the simulations of soil temperature and moisture have been further enhanced.The 30-layer stratification yields the most accurate outcomes， followed closely by the 20-layer configuration.This approach notably reduces bias and root mean square error in soil temperature simulations， particularly in the central and western regions of the Qinghai-Xizang Plateau， with better performance in winter compared to summer.While soil moisture simulation accuracy lags behind temperature results， the stratification refinement reduces errors， particularly in shallow soil layers.The enhanced stratification also improves the correlation between simulated values and CRA data， strengthening the alignment between simulation and observation， especially in the central and western parts of the plateau.This research provides new insights into soil hydrothermal processes on the Qinghai-Xizang Plateau and offers critical methodology and technical support for future climate simulations and predictions.Moreover， the proposed integrated scheme holds significant potential for simulating soil hydrothermal processes in other plateau regions and may be applied across a wide range of fields.…”
Get full text

Uncertainty-Aware Deep Learning for Robust and Interpretable MI EEG Using Channel Dropout and LayerCAM Integration by Óscar Wladimir Gómez-Morales, Sofia Escalante-Escobar, Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez

Get full text

Research on paddy processing system based on industrial internet of things by ZHOU Jin, LIU Shuang, MIAO Qing

“…<b>Objective:</b> To solve the problem of unstable rice output quality caused by the lack of information exchange and coordinated control between equipment in the rice processing system. <b>Methods:</b> Based on the industrial internet of things technology, a five-layer architecture of the rice processing system was constructed, and the solutions to the technical problems existing in the network layer, decision layer and control layer of the architecture were proposed for the corresponding layer problems such as the wireless sensor network model based on machine vision, the fuzzy self-tuning control model based on differential evolutionary algorithm and the rubber roller synchronization control method of the huller. …”
Get full text

Beyond Classical AI: Detecting Fake News with Hybrid Quantum Neural Networks by Volkan Altıntaş

“…The model integrates classical fully connected neural layers with a parameterized quantum circuit, enabling the processing of textual data within both classical and quantum computational domains. …”
Get full text

Single-layer dual-band frequency selective surface for coverage-enhancing applications in millimeter-wave 5G by Mousa Abdollahvand, Eduardo Martinez-de-Rioja, Kanishka Katoch, Ana Arboleya, Celia Fontá

Get full text

A sporulation signature protease is required for assembly of the spore surface layers, germination and host colonization in Clostridioides difficile. by Eleonora Marini, Carmen Olivença, Sara Ramalhete, Andrea Martinez Aguirre, Patrick Ingle, Manuel N Melo, Wilson Antunes, Nigel P Minton, Guillem Hernandez, Tiago N Cordeiro, Joseph A Sorg, Mónica Serrano, Adriano O Henriques

“…A genomic signature for endosporulation includes a gene coding for a protease, YabG, which in the model organism Bacillus subtilis is involved in assembly of the spore coat. …”
Get full text

GPU-Based Implementation of Pruned Artificial Neural Networks for Digital Predistortion Linearization of Wideband Power Amplifiers by Wantao Li, Raul Criado, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

“…The proposed pruning method is applied to the first hidden layer of a feed-forward real-valued time-delay neural network, commonly used for DPD purposes. …”
Get full text

Selective laser sintering of distinct drug and polymer layers as a novel manufacturing strategy for individually dosed tablets by Jonas Autenrieth, Daniel Hedbom, Maria Strømme, Thomas Kipping, Jonas Lindh, Julian Quodbach

“…Energy dispersive X-ray spectroscopy (EDS) demonstrated the successful formation of distinct API and excipient layers. Differential scanning calorimetry (DSC) characterization revealed that the sintering process partially amorphized IND, which may enhance dissolution and bioavailability. …”
Get full text