Day-Ahead Complementary Operation for a Wind-Hydro-Thermal System Considering Multi-Dimensional Uncertainty by Xiaoyu Shi, Rong Jia, Qiang Huang, Guohe Huang, Xuewen Lei, Jiangfeng Li, Bo Ming, Zeqian Zhao, Le Li

“…To solve these issues, a new model that couples the multi-dimensional uncertainty model with the day-ahead complementary operation model is developed for a wind-hydro-thermal system. …”
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Study on the Mechanism of the Micro-Charge-Detonation-Driven Flyer by Shuang Li, Jie Ren, Chang Leng, Zhenhao Shi, Yan Ma, Mingyu Li, Qingxuan Zeng

“…To investigate the energy transfer mechanisms during the micro-explosive initiator-driven flyer process and to guide the performance evaluation of micro-sized charges and the structural design of micro-initiators, a combined approach of numerical simulations and experimental tests was employed to study the detonation process of copper-based azide micro-charges driving a flyer. …”
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Trehalose induces bladder smooth muscle hypercontractility in mice: involvement of oxidative stress and cellular senescence by Guilherme Lemos, Cícera Madri Alves de Souza Fernandes, Ingrid Kazue Mizuno Watanabe, Maria Andreia Delbin, Fábio Henrique Silva, Fabiano Beraldi Calmasini

“…The CCh-induced BSM hypercontractility was completely abolished by the in vitro incubation of apocynin and diphenyleneiodonium (DPI), implicating NADPH oxidase-derived reactive oxygen species (ROS) on this process. Accordingly, increased levels of superoxide anion (O2-) were found in the urothelial layer, but not in BSM, of trehalose-treated mice. …”
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Effect of SEN on fluid flow and surface fluctuation in a continuous casting slab mold by ZHANG Kai-tian, LIU Jian-hua, CUI Heng, QIAN Xue-hai, DENG Shen

“…In this work, a 0.6-scale water model of slab mold was built according to a 220 mm×1800 mm actual mold from a Chinese steel plant to investigate the fluid field and free surface fluctuation during the continuous casting process. …”
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Multimodal Fall Detection Using Spatial–Temporal Attention and Bi-LSTM-Based Feature Fusion by Jungpil Shin, Abu Saleh Musa Miah, Rei Egawa, Najmul Hassan, Koki Hirooka, Yoichi Tomioka

“…The features from both branches are fused and passed through a fully connected layer for classification, providing a comprehensive understanding of human motion. …”
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Water Basin Effect of Cofferdam Foundation Pit by Guofeng Li, Qinchao Zuo, Xiaoyan Zhou, Yanbo Hu, Ning Li

“…This study addresses the water basin effect in the underwater sand layer of steel pipe pile cofferdams by integrating the concept from building foundation pits to cofferdam foundation pit analysis. …”
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3D Printing in Arthroplasty: A Systematic Review by Vishnu Senthil

“…The physical model is built in layers, with one thin layer at a time after the formulation of the digital design in standard triangle language (STL) format. …”
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Hydrogen Leakage Location Prediction in a Fuel Cell System of Skid-Mounted Hydrogen Refueling Stations by Leiqi Zhang, Qiliang Wu, Min Liu, Hao Chen, Dianji Wang, Xuefang Li, Qingxin Ba

“…After multiple adjustments to the network structure and hyperparameters, a final model with two hidden layers was selected. Each hidden layer consisted of 10 neurons. …”
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Thermal tuning of nanocomposites for superior cadmium ion adsorption by Ehab A. Abdelrahman, Mohamed N. Goda, Abdalla M. Khedr, Fawaz A. Saad, Reem K. Shah

“…Kinetic modeling followed the pseudo-second-order model, while isotherm analysis fit the Langmuir-type isotherm, suggesting single-layer adsorption occurring uniformly across the adsorbent surface.…”
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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

“…At the decision fusion stage, decision outputs from both modalities are first quantified using Dirichlet distribution parameter estimation to model uncertainty, followed by a two-layer reasoning process using Dempster-Shafer Theory (DST) to fuse evidence from basic belief assignment (BBA) methods and both modalities. …”
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Detection of Adulteration in Food Using Recurrent Neural Network with Internet of Things by Vishwesh Nagamalla, B. Muthu Kumar, Neha Janu, Anusha Preetham, Syam Machinathu Parambil Gangadharan, Mejdal A. Alqahtani, Rajnish Ratna

“…An automated sensing system for the detection of synthetic milk, based on a microcontroller, has been created in order to reduce the reliance on specialised labour and to improve efficiency. In order to model the sensor, the dipole layer capacitance at the interface of the impedance sensor immersed in milk and the contaminated milk must be taken into account throughout the modelling process. …”
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AI-Enhanced Detection of Heart Murmurs: Advancing Non-Invasive Cardiovascular Diagnostics by Maria-Alexandra Zolya, Elena-Laura Popa, Cosmin Baltag, Dragoș-Vasile Bratu, Simona Coman, Sorin-Aurel Moraru

“…The model processes heart sound recordings using advanced pre-processing techniques such as z-score normalization, band-pass filtering, and data augmentation (Gaussian noise, time shift, and pitch shift) to enhance robustness. …”
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Damage identification based on the inner product matrix and parallel convolution neural network for frame structure by Yingying He, Ji Feng, Baogang Sun, Feixue Wang, Likai Zhang, Jidi Jiang

“…The proposed IPM-PCNN framework consists of a one-dimensional (1D) CNN branch for processing time series data, a two-dimensional (2D) CNN branch for handling structural modal data, and several fully connected layers. …”
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Kinetics of silicon extraction into alloy from a mixture of amorphous rocks by V.M. Shevko, N.M. Mirkayev, A.D. Badikova

“…It was established that when the melting the amorphous rocks, with an increase in the degree of silicon extraction into the alloy, the apparent activation energy decreases, that is a manifestation of diffusion processes, obviously associated with the formation of a silicon carbide layer on the coke surface. …”
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Quasi‐Resonant Tunneling Transport in Magnetic CrBr3 by Gen Long, Peiheng Jiang, Zishu Zhou, Meizhen Huang, Binglan Wu, Zhicheng Zhong, Sunan Ding, Ning Wang, Guangyu Zhang

“…While the Fowler‐Nordheim model describes tunneling in bulk materials through bias‐induced triangular potentials, van der Waals layered systems require special consideration of interlayer gaps. …”
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High-precision segmentation and quantification of tunnel lining crack using an improved DeepLabV3+ by Zhutian Pan, Xuepeng Zhang, Yujing Jiang, Bo Li, Naser Golsanami, Hang Su, Yue Cai

“…The amount of EfficientNetV2 block computation is reduced and a self-designed shallow feature fusion module is used to merge the layers to enhance parameter utilization efficiency. …”
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Non-Volatile Reconfigurable Optical Digital Diffractive Neural Network Based on Phase Change Material by Qiaomu Hu, Jingyu Zhao, Chu Wu, Rui Zeng, Xiaobing Zhou, Shuang Zheng, Minming Zhang

“…Using three reconfigurable non-volatile digital diffractive layers and 10 photodetectors connected to a reconfigurable resistor network, our model achieves an accuracy of 94.46% in the handwritten digit recognition task. …”
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Investigating olive pomace activated carbon for degrading organic dyes in water by Deye Qu, Yali Yu, Mengchen Zhu, Chunni Lei, Bo Wang, Xinchao Wang, Xiaoping Zhou

“…The removal efficiency of dyes under better conditions is CV > MB > RHB > Mo > BL > Mg > Cr. The adsorption process of olive pomace activated carbon for seven dyes is more in line with Langmuir isothermal adsorption model, and the correlation coefficients are all greater than 0.98, indicating that the adsorption process of seven dyes is of single layer adsorption; The adsorption kinetics is more in line with the quasi-second-order kinetic model, and chemical adsorption is dominant in the adsorption process, with correlation coefficients greater than 0.97. …”
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3D printing for advanced surgical planning in veterinary medicine—case studies, methods and future perspectives by Ramon Rodrigues de Lima, Lucas Rannier Ribeiro Antonino Carvalho, Lucas Rannier Ribeiro Antonino Carvalho

“…To construct the digital models, the CT data are processed using inVesalius 3.1 software, a Brazilian program for segmentation and rendering of medical images. …”
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Design of a Device for Optimizing Burden Distribution in a Blast Furnace Hopper by Gabriele Degrassi, Lucia Parussini, Marco Boscolo, Elio Padoano, Carlo Poloni, Nicola Petronelli, Vincenzo Dimastromatteo

“…The coke and ore are stacked alternately in layers inside the blast furnace. The capability of the charging system to distribute them in the desired manner and with optimum strata thickness is crucial for the efficiency and high-performance operation of the blast furnace itself. …”
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