Geometric Effects on Nanopore Creation in Graphene and on the Impact-withstanding Efficiency of Graphene Nanosheets by Sadegh Sadeghzadeh

“…Instead, visual inspection of the bottom side of a graphene sheet should be used. …”
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Engaging Learning Experience: Enhancing Productivity Software Lessons with Screencast Videos by Usha Vellappan, Liyen Lim, Lim Su Yin

“…Screencast videos are digital resources that capture the computer screen and create an audio-visual experience, and they can be shared online to aid the learning process. …”
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Predicting boiling heat flux, heat transfer coefficient, and regimes Non-intrusively using external acoustics and deep learning by Doyeong Lim, Yang Liu, In Cheol Bang

“…Traditional diagnostic methods relying on intrusive sensors or visual inspection become impractical in harsh industrial environments characterized by high pressures, temperatures, and radiation exposure. …”
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Hydraulic support pressure-posture fusion analysis technology for deep complex environment working faces by GONG Shixin

“…By analyzing the roll angle data of the hydraulic top beam and base, a line segment fitting method was employed to visualize the three-dimensional trend of the roof and floor of the working face in real-time. …”
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Traditional guidance mechanism based deep robust watermarking by Xuejing GUO, Yixiang FANG, Yi ZHAO, Tianzhu ZHANG, Wenchao ZENG, Junxiang WANG

“…With the development of network and multimedia technology, multimedia data has gradually become a key source of information for people, making digital media the primary battlefield for copyright protection and anti-counterfeit traceability.Digital watermarking techniques have been widely studied and recognized as important tools for copyright protection.However, the robustness of conventional digital watermarking methods is limited as sensitive digital media can easily be affected by noise and external interference during transmission.Then the existing powerful digital watermarking technology’s comprehensive resistance to all forms of attacks must be enhanced.Moreover, the conventional robust digital watermarking algorithm’s generalizability across a variety of image types is limited due to its embedding method.Deep learning has been widely used in the development of robust digital watermarking systems due to its self-learning abilities.However, current initialization techniques based on deep neural networks rely on random parameters and features, resulting in low-quality model generation, lengthy training times, and potential convergence issues.To address these challenges, a deep robust digital watermarking algorithm based on a traditional bootstrapping mechanism was proposed.It combined the benefits of both traditional digital watermarking techniques and deep neural networks, taking into account their learning abilities and robust characteristics.The algorithm used the classic robust digital watermarking algorithm to make watermarked photos, and the constructed feature guaranteed the resilience of traditional watermarked images.The final dense image was produced by fusing the conventionally watermarked image with the deep network using the U-Net structure.The testing results demonstrate that the technique can increase the stego image’s resistance to various attacks and provide superior visual quality compared to the conventional algorithm.…”
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A bioelectric router for adaptive isochronous neurostimulation enables multipolar bioelectric stimulation from a single source by Eashan Sahai, Jordan Hickman, Daniel J. Denman

“…Abstract Multipolar intracranial electrical brain stimulation (iEBS) is a method that has potential to improve clinical applications of mono- and bipolar iEBS, including deep brain stimulation (DBS) and sensory prosthetics. …”
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Cluster analysis of the factors influencing innovative development of economy in regions of Russian Federation by V. N. Yur’ev, D. M. Dybok

“…To analyze the sample rates and to divide regions to the clusters we’ve used a fully integrated line of analytic solutions Statistica [2], for analyzing, visualizing and forecasting. As a result of a statistical analysis and Statistica use regions were divided into clusters according to the three methods: hierarchical classification, Kaverage method and two-input distribution. …”
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A Bibliometric Analysis of Research on Human Settlements Improvement Based on CNKI and Web of Science by Chenxi Li, Jinfeng Miao, Xuan Zhai, Qiao Liu

“…The subsequent research on the improvement of human settlement environments should strengthen the breadth and depth of research, improve the evaluation index system, innovate research methods, and build interdisciplinary integration, to provide a perfect research paradigm for research on the improvement of human settlement environments in the future.…”
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Geospatial Approach to Soil Fertility Mapping in Dailekh District, Nepal: A GIS Perspective by Gaurab Dhakal, Sanket Kattel

“…The classical statistical method was used for the descriptive analysis of sampled data. …”
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A Differentiated Approach to the Complex Treatment of Cornea Ulcers by E. V. Chentsova, E. N. Verigo, A. I. Hazamova

“…CRL treatment was carried out in 3 variants: 1-as the main method of treatment, 2 — CRL in combination with TAM + BR, 3 — CRL + keratoplasty ( 5–7 days after surgery). …”
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Evaluation of vitamin A levels in patients hospitalized in the general pediatrics unit by Merve Tosyali, Feyza Koc, Burce Emine Dortkardesler, Sule Gokce

“…Vitamin A deficiency; It can cause visual disorders, growth retardation, as well as cellular and humoral immunological disorders. …”
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Cognitive factors on the performance of group decision-making: a behavioral and eye-tracking study by Cheng Kexin, Jiang Zuhua, Yang Jiapeng

“…This gap hinders the quality and efficiency of engineering group decisions.MethodsThis study introduces an eye-tracking method to investigate interdisciplinary group decision-making in engineering design, leveraging group decision-making performance theory and eye-tracking technology. …”
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What is known about Peutz–Jeghers syndrome (a literature review) by M. H. Melnychenko, E. S. Buriachkivskyi, L. B. Eliy

“…Dynamic observation and prevention of complications in risk groups – both in the presence of a family history and in newly diagnosed children with polyps and specific pigmentation should be provided. The main method of PJS diagnosis is endoscopic, and the main treatment is surgical.…”
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Automatic Fault Classification in Photovoltaic Modules Using Denoising Diffusion Probabilistic Model, Generative Adversarial Networks, and Convolutional Neural Networks by Carlos Roberto da Silveira Junior, Carlos Eduardo Rocha Sousa, Ricardo Henrique Fonseca Alves

“…The results corroborate the use of the diffusion model as a PV data augmentation technique when compared with other methods such as GANs and GTs.…”
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Adltformer Team-Training with Detr: Enhancing Cattle Detection in Non-Ideal Lighting Conditions Through Adaptive Image Enhancement by Zhiqiang Zheng, Mengbo Wang, Xiaoyu Zhao, Zhi Weng

“…The Adltformer and Detr team-training (AT-Detr) method is employed to preprocess the low-light cattle dataset for image enhancement, ensuring that the enhanced images are more compatible with the requirements of machine vision systems. …”
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Improved self-calibration image enhancement algorithm based on attention mechanism and its application in maritime low-light images by Li SU, Shihao CUI

“…ObjectiveIn order to solve the problems of the insufficient brightness enhancement, low sharpness, and color distortion of existing maritime low-light image enhancement algorithms, this paper proposes an algorithm based on improved self-calibrated illumination (SCI) learning. MethodAn attention mechanism is introduced to enhance the unevenly illuminated regions in low-light images to different degrees; an illumination adjustment module is constructed to secondary the intermediate outputs of the illumination learning process; a denoising module is introduced to ameliorate the problem of noise in dark regions being amplified with the enhancement of the brightness; and batch normalization (BN) is changed to batch channel normalization (BCN), which utilizes channel and batch dimensions to adaptively combine the normalized outputs. …”
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Glycaemic Matrix and Segmentation: A New Metabolic Visualisation and Analysis Tool by Nere Arroniz, Alberto Conde Mellado, Leire Francés

“…These graphics would enable the observation of the overall framework in a contextualised manner and assist in establishing clear visual goals. Methods: This article introduces glycaemic matrix and metabolic segmentation, a new method for representing and evaluating functional profiles by combining glucose and lifestyle data. …”
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An Analysis of dolly red-light district closure impact: 10-year post-transformation study on the psychological and economic vulnerability of susceptible women groups by Setyawan Jefri, Wibowo Joshi Maharani, Indrawardani Ken Fitria

“…The research is done qualitatively in the Former Dolly red-light district, Surabaya City, by obtaining the primary data through focus group discussions (FGD) in 2023. The analysis method used is TNA (thematic network approach), which is processed and visualized using NVIVO 12 pro. …”
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Comparison of the effects of self-selected music and prefixed music on preoperative anxiety in adults undergoing laparoscopic surgery by K. V Meghana, Pratiti Choudhuri, Amita Gupta, Anju Gupta

“…Music is a noninvasive method to allay anxiety, as revealed in studies. Self-selected (SS) versus prefixed (PF) music had not been studied much. …”
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High resolution descriptors for UAV mapping in biodiversity conservation - A case study of sandy steppe habitat renewal. by Maja Arok, Branko Brkljač, Predrag Lugonja, Bojana Ivošević, Milan Vukotić, Tijana Nikolić Lugonja

“…Despite high resolution imaging, the method solves a challenging problem of UAV vegetation mapping in the case of limited spectral and spatial information in the image (by using only RGB camera and multitemporal approach). …”
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