How Does the Visualization Technique Affect the Design Process? Using Sketches, Real Products and Virtual Models to Test the User’s Emotional Response by María Alonso-García, Almudena Palacios-Ibáñez, Óscar D. de-Cózar-Macías, Manuel D. Marín-Granados

“…Based on these findings, the authors encourage industrial designers to develop new methodologies to optimize design process and minimize costs.…”
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Grewia tenax-Mediated Silver Nanoparticles as Efficient Antibacterial and Antifungal Agents by Priyanka Yadav, Monisha Singhal, Sreemoyee Chatterjee, Surendra Nimesh, Nidhi Gupta

“…The silver nanoparticles (GTAgNPs) were synthesized using optimized conditions of 2.5 mM AgNO3 and 1 : 10 ratio of 10% extract at 37°C on continuous stirring. …”
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Fitness landscapes of human microsatellites. by Ryan J Haasl, Bret A Payseur

“…Microsatellite fitness surfaces are diverse, including a range of selection strengths, contributions from dominance, and variation in the number and size of optimal alleles. Microsatellites that are subject to selection include loci known to cause trinucleotide expansion disorders and modulate gene expression, as well as intergenic loci with no obvious function. …”
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A Machine Learning-Based Model for Predicting Atmospheric Corrosion Rate of Carbon Steel by Ngoc-Long Tran, Trong-Ha Nguyen, Van-Tien Phan, Duy-Duan Nguyen

“…Meanwhile, the atmospheric corrosion rate of carbon steel is considered as the output variable. An optimal ANN model with a high coefficient of determination of 0.999 and a small root mean square error of 0.281 mg/m2.month is retained to predict the corrosion rate. …”
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Multibody Modeling Method for UHV Porcelain Arresters Equipped with Lead Alloy Isolation Device by Xiaochao Su, Lei Hou, Zhubing Zhu, Yushu Chen

“…The proposed method shows its potential usefulness in optimal design of the isolation device.…”
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Wettability of Polar and Apolar Liquids on Metal Surfaces by Mohanad Khairi, Zoltán Erdélyi, Peter Baumli

“…The wettability of metal surfaces by different oils and water is a multifaceted phenomenon with significant implications for industrial processes, including lubrication, corrosion protection, and fluid transport; an understanding of the process is essential for optimizing the performance and durability of metallic components. …”
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A Convection Nowcasting Method Based on Machine Learning by Aifang Su, Han Li, Liman Cui, Yungang Chen

“…During the extrapolation process, dynamic characteristics such as the rotation, convergence, and divergence in the optical flow field were also used as predictors to form an optimal nowcasting model. The test analysis demonstrated that the algorithm combined the image feature extraction ability of the convolutional neural network (CNN) and the sequential learning ability of the long short-term memory network (LSTM) model to establish an end-to-end deep learning network, which could deeply extract high-order features of radar echoes such as structural texture, spatial correlation, and temporal evolution compared with the traditional algorithm. …”
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Predictors of cochlear implant outcomes in pediatric auditory neuropathy: A matched case-control study. by Zahra Jafari, Elizabeth M Fitzpatrick, David R Schramm, Isabelle Rouillon, Amineh Koravand

“…A longer CI follow-up, a lower age at CI activation, and the use of two CIs are predictive for optimal CI outcome.…”
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Modern Methods of Urban Energy System Planning by Т. M. Bugaeva, O. V. Novikova

“…Knowledge of the nature of the energy load alterations not only in time, but also in space will allow achieving the optimal structure of energy sources in the city and thereby reducing unproductive energy costs of energy resources and increasing energy efficiency. …”
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Study on the Vortex-Induced Vibration Performance of the LSOB Girder of a Valley-Crossing Suspensions Bridge by Weihong Ji, Yu Lin, Shaopeng Yang, Lin Huang

“…Although adding a guide vane further optimizes the VIV performance, its effect is limited. …”
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Secret sharing in a special linear group by V. I. Yanchevskiĭ, I. A. Havarushka, G. V. Matveev

“…The development of a scheme on a new mathematical basis is intended to expand the list of these configurations, which creates more opportunities for the user in choosing the optimal option.Methods. Group theory, modular arithmetic and theory of secret sharing schemes are used.Results. …”
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ASSESSMENT OF SUSTAINABLE EFFICIENCY ON POTATO FARMS AT BAGHDAD GOVERNORATE by A. H. Alzubaidi, E. H. Ali

“…It also recommended the optimal use of resources and expansion of areas to take advantage of mass production benefits. …”
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Geomechanical Characteristics and Stimulation of Dibei Deep Tight Sandstone Reservoirs in the Kuqa Depression of Tarim Basin by Ke Xu, Haijun Yang, Hui Zhang, Zhimin Wang, Lu Fang, Guoqing Yin, Haiying Wang

“…Understanding the geomechanical characteristics can quantitatively optimize the best wellbore trajectory, reduce the difficulty of fracturing from the source of well location deployment, improve the efficiency of hydraulic fracturing, and then realize the stimulation of gas reservoirs. …”
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Catalysts of change: Immunotherapy's frontier in oral oncology by Shyamaladevi Babu, Madhan Krishnan

“…Ongoing research and clinical studies are essential to fully harness the promise of immunotherapy, providing fresh optimism in the battle against this intricate disease.…”
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A System of Remote Patients’ Monitoring and Alerting Using the Machine Learning Technique by M. Dhinakaran, Khongdet Phasinam, Joel Alanya-Beltran, Kingshuk Srivastava, D. Vijendra Babu, Sitesh Kumar Singh

“…Machine learning has become an essential tool in daily life, or we can say it is a powerful tool in the majority of areas that we wish to optimize. Machine learning is being used to create techniques that can learn from labelled or unlabeled information, as well as learn from their surroundings. …”
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A resilience‐oriented restoration framework for multi‐area active distribution network following a disaster by Hekmat Beiranvandi, Amin Samanfar, Meysam Doostizadeh, Reza Saki

“…In this regard, a new three‐level resilience‐oriented restoration (TLROR) framework is proposed to optimally schedule available tie‐lines, and distributed energy resources (DERs) in the MA‐ADN, considering the autonomy and privacy of their ownership. …”
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Pseudo-siamese network image tampering localization model based on reinforced samples by Jinwei WANG, Zihe ZHANG, Xiangyang LUO, Bin MA

“…With the continuous development of the internet, an increasing number of images have been tampered with on the network, accompanied by a growing range of techniques to cover up tampering traces.However, most current detection models neglect the impact of image post-processing on tamper detection algorithms, limiting their real-life applications.To address these issues, a general image tampering location model based on enhanced samples and the pseudo-twin network was proposed.The pseudo-twin network enabled the model to learn tampering features in real images.On one hand, by applying convolution constraints, the image content was suppressed, allowing the model to focus more on residual trace information of tampering.The two-branch structure of the network facilitated the comprehensive utilization of image feature information.By utilizing enhanced samples, the model could dynamically generate the most crucial pictures for learning tamper types, enabling targeted training of the model.This approach ensured that the model converged in all directions, ultimately obtaining the global optimal model.The idea of data enhancement was employed to automatically generate abundant tampered images and corresponding masks, effectively resolving the limited tampering dataset issue.Extensive experiments were conducted on four datasets, demonstrating the feasibility and effectiveness of the proposed model in pixel-level tamper detection.Particularly on the Columbia dataset, the algorithm achieves a 33.5% increase in F1 score and a 23.3% increase in MCC score.These results indicate that the proposed model harnesses the advantages of deep learning models and significantly improves the effectiveness of tamper location detection.…”
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The Concept of Generalised Syllabi of the Discipline «Foreign Language» for Non-Linguistics Major Courses of Study by M. M. Bazhutina, A. V. Tsepilova

“…The paper suggests a concept that substantiates the demand for targeted generalized syllabi for this discipline and contains a number of principles, which can help to design their optimal content. The notions of «zones of near and further content and competence integration» are introduced. …”
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Energy Management Strategies for Smart Green MicroGrid Systems:  A Systematic Literature Review by Chaimaa Essayeh, Mohammed Raiss El-Fenni, Hamza Dahmouni, Mohamed Aymane Ahajjam

“…(ii) The employed methods to ensure an optimal usage of energy under uncertainty. (iii) The confronted challenges and constraints of the suggested strategies. …”
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Two-wavelength WDM multiplexers based on combined fiber structures by D. A. Ivanov, V. I. Nefedov

“…One of the possible ways of optimizing such devices using new types of OF with resistance to bending losses, of which WDM multiplexers could be made. …”
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