Design of thermoelectric devices for extracting foreign objects from the human body by freezing by O. V. Evdulov, A. M. Nasrulaev, R. Sh. Kazumov

“…Objectives.The  purpose  of  the  article  is  to  consider  the  designs  of thermoelectric  devices  (TEC)  for  extracting  foreign  objects  (IO)  from  the  human  body  by freezing with various options for removing heat from the hot junctions of the thermoelectric module (TEM).Method. Modifications of thermoelectric devices are described for extracting the IO from the human body by freezing it to a special probe. …”
Get full text

Performance Evaluation of Beluga Whale Optimization–Long Short-Term Memory–Random Forest Networks for Trajectory Control and Energy Optimization in Excavator Systems by Van Hien Nguyen, Kyoung Kwan Ahn

“…Initially, a standalone LSTM framework is developed to estimate the system’s positional output, with BWO optimizing four key tuning parameters. …”
Get full text

A Deep Learning Approach to Evaluating SISO-OFDM Channel Equalization by Saja S Hanoon, Hasan F Khazal, Thamer M Jamel

“…Because of the limitations of the Minimum Mean Square Error (MMSE) method, deep learning models provide a more convenient solution for solving the channel equalizer issue. …”
Get full text

A Computer-Aided Approach to Canine Hip Dysplasia Assessment: Measuring Femoral Head–Acetabulum Distance with Deep Learning by Pedro Franco-Gonçalo, Pedro Leite, Sofia Alves-Pimenta, Bruno Colaço, Lio Gonçalves, Vítor Filipe, Fintan McEvoy, Manuel Ferreira, Mário Ginja

“…Canine hip dysplasia (CHD) screening relies on radiographic assessment, but traditional scoring methods often lack consistency due to inter-rater variability. …”
Get full text

Current Trends and Advances in Extractive Text Summarization: A Comprehensive Review by Maryam Azam, Shah Khalid, Sulaiman Almutairi, Hasan Ali Khattak, Abdallah Namoun, Amjad Ali, Hafiz Syed Muhammad Bilal

“…Given the rapid increase of textual data in various fields, text summarization has become essential for efficient information handling. Over recent decades, numerous methods have been proposed to enhance summarization processes, and various review papers and books have been published to encapsulate these methodologies and discuss their implications. …”
Get full text

Ivabradine use in critical care: a systematic review and metanalysis of cardiogenic and septic shock patients by Lorenzo Antonino Calabrò, Marco Pasetto, Sabino Scolletta, Filippo Annoni, Zoe Demailly, Katarina Halenarova, Katia Donadello, Fabio Silvio Taccone

“…Abstract Introduction In patients with acute illness, compensatory tachycardia initially serves to maintain adequate cardiac output, oxygen delivery and tissue oxygenation but may persist despite appropriate fluid and vasopressor resuscitation or may be secondary to inotropic therapy. …”
Get full text

DeepBiteNet: A Lightweight Ensemble Framework for Multiclass Bug Bite Classification Using Image-Based Deep Learning by Doston Khasanov, Halimjon Khujamatov, Muksimova Shakhnoza, Mirjamol Abdullaev, Temur Toshtemirov, Shahzoda Anarova, Cheolwon Lee, Heung-Seok Jeon

“…Our model aggregates three semantically diverse convolutional neural networks—DenseNet121, EfficientNet-B0, and MobileNetV3-Small—using a stacked meta-classifier designed to aggregate their predicted outcomes into an integrated, discriminatively strong output. …”
Get full text

Mine pressure prediction based on empirical mode decomposition linear model by Yuwei ZHU, Pengfei WANG, Huixian WANG, Qiangqiang NIU, Liang XIN

“…Unlike most fixed-length single-feature mine pressure prediction models, this model first introduces the Empirical Mode Decomposition (EMD) method to separate periodic and trend components from the mine pressure signals. …”
Get full text

Reliable Structural Stability and Damage Control of Concrete Gravity Dams During Earthquakes by Nazim Abdul Nariman, Ayad Mohammed Ramadan, Rawshan Ali, Raja Rizwan Hussain, Shallaw Abdullah Saleh

“…The Pareto optimization method is adopted with the support of MATLAB codes to calculate the optimized values of the participating factors. …”
Get full text

SSCD-YOLO: Semi-Supervised Cross-Domain YOLOv8 for Pedestrian Detection in Low-Light Conditions by Fangliang Cao, Kai Yan, Hongliang Chen, Zhen Wang, Yunliang Du, Zekang Zheng, Kefan Li, Baozhu Qi, Mingjia Wang

“…First, a CDF-CycleGAN cross-domain image fusion method is designed, which improves the input of CycleGAN using a diffusion model, integrates the self-attention mechanism into the residual network of the CycleGAN generator to design the SA-Block, replaces the linear layer in the CycleGAN discriminator with an autoencoder, and improves the training method of CycleGAN. …”
Get full text

Combined Effects of Rhodiola Rosea and Caffeine Supplementation on Straight Punch Explosive Power in Untrained and Trained Boxing Volunteers: A Synergistic Approach by Biaoxu Tao, Hao Sun, Huixin Li, Zhiqin Xu, Yuan Xu, Liqi Chen, Chengzhe Ma, Xiaoyu Zhang, Longqi Yu, Shanjun Bao, Chang Liu

“…Conclusions: Combined supple mentation with CAF and RHO significantly enhances both explosive power and sustained output in boxing performance. This may result from improved energy metabolism efficiency and neuromuscular coordination, providing a promising nutritional strategy for high-intensity intermittent exercise.…”
Get full text

Estimating Nonstabilizerness Dynamics Without Simulating It by Alessio Paviglianiti, Guglielmo Lami, Mario Collura, Alessandro Silva

“…In the process the initial state is renormalized in such a way that the new circuit outputs the same final state as the original one. …”
Get full text

Lean manufacturing implementation in food and beverage SMEs in Tanzania: using structural equation modelling (SEM) by Juma M. Matindana, Mary J. Shoshiwa

“…Abstract Currently globally industries are increasingly adopting lean production methods to enhance operational efficiency and overall business performance. …”
Get full text

A Model For Optimization of Knowledge Management Outsourcing Decision Using Genetic Algorithm by Ameneh Khadivar, Fatemeh Abbasi, Sheyda Akbarian

“…The algorithm used a random initial population, with operations for parent selection, crossover, and mutation, iterating until the optimal solution was found. The output helped identify the most effective outsourcing providers, aided managerial decision-making, and enhanced organizational performance.Findings: In this study, using the roulette wheel method and based on available data, the selection process among six contractors was carried out. …”
Get full text

Optomechanical energy enhanced BF-QEPAS for fast and sensitive gas sensing by Weilin Ye, Linfeng He, Weihao Liu, Zhile Yuan, Kaiyuan Zheng, Guolin Li

“…Additionally, a self-calibration method is proposed for correcting resonant frequency shifts. …”
Get full text

Performance Comparison of Facial Emotion Recognition: Introducing a Model within the Driver Assistance Framework based on Deep Learning with LBP Feature Extraction for In-Vehicle A... by Ehsan Ghasemi, Seyyed Mohammad Razavi, Sajad Mohamadzadeh

“…Using 3 RGB channels, the extracted features from these three regions are fed into RessNet-50 and EfficientNet deep networks. The outputs of the two deep learning models' classifiers are combined and integrated using two ensemble methods: ensemble maximum voting and ensemble mean. …”
Get full text

Multidimensional image morphing-fast image-based rendering of open 3D and VR environments by Simon Seibt, Bastian Kuth, Bartosz von Rymon Lipinski, Thomas Chang, Marc Erich Latoschik

“…Therefore, we introduce multimorphing, a novel rendering method based on the spatial data structure of 2D image patches, called the image graph. …”
Get full text

Adaptive models of the four-switch buck-boost converter by O.V. Vasylenko, G.V. Snizhnoi

“…The prospects for using a FSBB converter in energy conversion systems where the input and output voltages vary relative to each other are shown. …”
Get full text

System modelling and characteristic research of novel high water-based synchronous lubrication piston pump by Hao JIANG, Lang YU, Yongkang LI

“…The results show that the proposed synchronous lubrication method can produce lubricating oil in the lubrication chamber with increasing speed. …”
Get full text

Deep-Learning-Based Computer-Aided Grading of Cervical Spinal Stenosis from MR Images: Accuracy and Clinical Alignment by Zhiling Wang, Xinquan Chen, Bin Liu, Jinjin Hai, Kai Qiao, Zhen Yuan, Lianjun Yang, Bin Yan, Zhihai Su, Hai Lu

“…Correlation analysis showed moderate associations between model outputs and clinical symptoms: EfficientNet_B5 grades (<i>r</i> = 0.526) were comparable to clinician assessments (<i>r</i> = 0.517, 0.503) and higher than those of residents (<i>r</i> = 0.457, 0.448). …”
Get full text