The Role of Endoplasmic Reticulum Stress in Cardiovascular Disease and Exercise by Junyoung Hong, Kwangchan Kim, Jong-Hee Kim, Yoonjung Park

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Implementation of Deep Learning with Multilayer Perceptron (MLP) for Heart Disease Prediction Using the SMOTE-ENN Technique by Erliyan Redy Susanto, Erik Saputra

“…To validate the effectiveness of SMOTE-ENN, comparisons were made with other methods such as SMOTE and undersampling, as well as baseline models like Logistic Regression and Decision Tree. The results demonstrate that SMOTE-ENN outperforms other techniques in handling class imbalance, leading to better overall model performance.…”
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Similarity and wavelet transform based data partitioning and parameter learning for fuzzy neural network by Pramoda Patro, Krishna Kumar, G. Suresh Kumar, Gandharba Swain

“…Function approximation is an important task in many different fields like economics, engineering, computing, classification, and forecasting. …”
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Art of Engineering Inspired by Nature by saeed mashayekh faridani

“…Some of us of course believe that our future habitat will be extremely nature friendly and it will be in dynamic response and complete compatibility with its natural environment very much so like a living being. Buckminster Fuller once said: the best way to predict future is to design it .Indeed in the future, the houses we live in and the offices we work in will be designed to function like living organisms, specifically adapted to place and able to draw all of their requirements for energy and water from the surrounding sun, wind and the air. …”
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Dynamic Scheduling in Identical Parallel-Machine Environments: A Multi-Purpose Intelligent Utility Approach by Mahmut İbrahim Ulucak, Hadi Gökçen

“…It effectively minimizes total weighted tardiness and the number of tardy jobs while maintaining key performance metrics like stability, robustness, and nervousness. …”
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Enhancing Secure Energy Efficiency of SWIPT IoT Network Considering IRS and Artificial-Noise: A Deep Learning Approach by Kimchheang Chhea, Jung-Ryun Lee

“…Internet of things (IoT) networks connect sensing devices to the Internet for tasks like tracking, monitoring, and data analysis. However, the large data generated, especially in resource-heavy services, challenges energy efficiency (EE) and security. …”
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Assessing land degradation in lower gangetic west bengal using GIS-based soft computing and advanced machine learning algorithms by Gopal Chowdhury, Ashis Kumar Saha

“…Two advanced machine learning models were used: the Multilayer Perceptron Neural Network (MLP-NN) and the Radial Basis Function Neural Network (RBF-NN). Traditional approaches, like the Analytical Hierarchy Process (AHP), are prone to subjective bias. …”
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Biocompatible low-voltage electrothermal actuators with biological operational temperature range by Adéla Slavíková, Benjamin C. Baker, Marcos Villeda-Hernandez, Annabel Coekin, Julia Kwasniewska, Tim Good, Mina Aleemardani, Heidi Snethen, James P. K. Armstrong, Charl F. J. Faul

“…As proof of concept, we demonstrate two systems: a simple gripper capable of holding objects up to 225 mg and a sphincter-like valve, showcasing its potential for use in treating conditions like urinary incontinence, where precise, muscle-like actuation is critical for function.…”
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Evolutionary learning in neural networks by heterosynaptic plasticity by Zedong Bi, Ruiqi Fu, Guozhang Chen, Dongping Yang, Yu Zhou, Liang Tian

“…Neural networks trained with this model recapitulate brain-like dynamics during cognition. Our method effectively trains spiking and analog neural networks in both feedforward and recurrent architectures, it also achieves performance in tasks like MNIST classification and Atari games comparable to gradient-based methods. …”
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An efficient post-processing adaptive filtering technique to rectifying the flickering effects. by Anudeep Gandam, Jagroop Singh Sidhu, Sahil Verma, N Z Jhanjhi, Anand Nayyar, Mohamed Abouhawwash, Yunyoung Nam

“…The PP-AFT technique is implemented on various videos, and results are compared with different existing techniques using performance metrics like PSNR-B, MSSIM, and GBIM. Simulation results show significant improvement in the subjective quality of different video frames. …”
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Exploring Motor–Cognitive Interference Effects and the Influence of Self-Reported Physical Activity on Dual-Task Walking in Parkinson’s Disease and Healthy Older Adults by Thomas Jürgen Klotzbier, Nadja Schott, Soo-Yong Park, Quincy J. Almeida

“…However, like group affiliation, physical activity directly influences motor performance during DT conditions, indicating that both factors independently impact motor–cognitive function in PD. …”
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La danse étatsunienne du début du XXème siècle aux années 1980 : histoire d’une dichotomie entre mouvement et geste by Claudie Servian

“…Since the beginning of the 20th century, North-American choreographers have emphasized either movement, the fact of bodily action, or gestures, movements to which something is added like meaning, function, connotation or intention. …”
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Probiotics in Poultry: Unlocking Productivity Through Microbiome Modulation and Gut Health by Muhammad Naeem, Dianna Bourassa

“…Gut health is pivotal to poultry performance, influencing nutrient absorption, immune function, and disease resistance. …”
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PID Tuning: Analytical approach based on the weighted Sensitivity problem by R. Vilanova, S. Alcántara, C. Pedret

“…For simplicity, the design only focuses on the closed-loop sensitivity function. The approach provides model-based tuning of single-loop PID controllers in terms of the robustness/performance and servo/regulator trade-offs. …”
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Polyphenols and post-exercise muscle damage: a comprehensive review of literature by Xiaofeng Zhang, Yuanfu Zhong, Sogand Rajabi

“…Among various polyphenols, compounds like quercetin have particularly emerged as effective agents for promoting muscle recovery and enhancing exercise performance. …”
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Parkinson’s disease detection using inceptionV3: A Deep learning approach by Pallavi M. Shanthappa, Madhwesh Bayari, G.B. Abhilash, K.V. Gokul, P.J. Ashish

“…Parkinson's disease (PD) is a neurodegenerative condition that progressively affects motor function and causes tremors, rigidity, and bradykinesia. …”
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Obraz filmowy jako dzieło sztuki by Marek Hendrykowski

“…It is only its specific kind whose basic function consists in looking for the ever newer layers of cinematographic expression in film, TV spectacle, video-art, "light, music and sound" performance and the like. …”
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Bridging human emotion processing and deep neural networks: insights from representational similarity analysis by Lu Nie, Ke Chen, Yue Li, Yonghong Tian, Yixuan Ku

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Atezolizumab Plus Bevacizumab in Patients with Unresectable Hepatocellular Carcinoma: Real-World Experience From a US Community Oncology Network by Cosgrove D, Tan R, Osterland AJ, Hernandez S, Ogale S, Mahrus S, Murphy J, Wilson T, Patton G, Loaiza-Bonilla A, Singal AG

“…Overall survival (OS) and real-world progression-free survival (rwPFS) were assessed using Kaplan-Meier methods for the overall cohort and in a subgroup of “trial-like” patients with characteristics that were consistent with those of the IMbrave150 Trial (ECOG performance status 0– 1, Child-Pugh class A, albumin-bilirubin grade 1– 2).Results: Overall, 374 patients met eligibility criteria (mean age 68.8 years, 78.9% male, 31% Child-Pugh class B-C among reported, 18% ECOG performance status ≥ 2 among reported), of whom 132 patients comprised the trial-like subgroup. …”
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Literature Review: Impact of Shift Work on Junior Doctors by Ramy Mahmoud Washia

“…Although total working hours have declined due to regulatory frameworks like the European Working Time Directive EWTD the increase in non-standard working hours has raised concerns about its impact on junior doctorsrsquo health and performance. …”
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