Novel Approach for Investigating the Effect of Music Therapy on Perioperative Anxiety and Postoperative Satisfaction in Elderly Patients Undergoing Lower-Limb Fracture Surgery Unde... by Xuanxuan Zhang, Chengfu Deng, Hui Zhao

“…Objective: This study examines the effect of music therapy on perioperative anxiety and postoperative satisfaction in elderly patients undergoing lower-limb fracture surgery with intravertebral anesthesia to address the increasing incidence of such fractures and related surgical stress. Methods: Conducted from February 2022 to June 2023, this prospective study involved 120 elderly patients at the People’s Liberation Army General Hospital of Southern Theatre Command. …”
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The Effect of Deep Respiration and Prone Position on Common Respiratory Symptoms in Patients with COVID-19: A Randomized Clinical Trial by Sima Alipour Nasrabadsofla, Afshin Mansourian, Mohammad Gholamnezhad, Ardashir Afrasiabifar, Asadolah Mosavi, Shahla Najafi Doulatabad

“…This study was carried out to determine the effect of deep respiration and prone position on common respiratory symptoms in patients with COVID-19. Materials and Methods: In this clinical trial that was conducted in a hospital in Yasuj city, Iran, in 2021, 96 patients with COVID-19 were selected using a non-random convenience sampling method and were randomly assigned to three groups of deep respiration, prone position, and deep respiration and prone position. …”
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The Effect of Dexmedetomidine in Combination with Bupivacaine on Sensory and Motor Block Time and Pain Score in Supraclavicular Block by Shahryar Sane, Shahram Shokouhi, Parang Golabi, Mona Rezaeian, Behzad Kazemi Haki

“…The sensory and motor block were evaluated by using the pinprick method and the modified Bromage scale. The postoperative pain was assessed by utilizing a visual analog scale. …”
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The Effects of Chamomile and Flaxseed on Pelvic Pain, Dyspareunia, and Dysmenorrhea in Endometriosis: A Controlled Randomized Clinical Trial by Zohre Khalajinia, Fatemeh Mohanazadeh Falahieh, Mohammad Aghaali

“…Patients were divided into three groups: chamomile, flaxseed, and placebo, using the block randomization method. Patients used 1000 mg capsules (three times a day) for 8 weeks. …”
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GRAPH MODELS OF THE DYNAMICS OF NETWORK ATTACKS IN AUTOMATED SYSTEMS OF INTERNAL AFFAIRS BODIES by E. S. Ovchinnikova

“…The most important task of the theory and practice of ensuring the information security of automated systems during their operation in a secure version at the objects of computerization of internal affairs bodies is to analyze the functioning process of systems for protecting confidential information resources from unauthorized access in case of network attacks, which involves modeling the process of their implementation and the development of graph models of the implementation dynamics of the main types of network attacks. Methods. The method for solving this problem is a mathematical simulation of implementing network attacks in protected automated systems of internal affairs bodies by constructing and describing graph models of typical network attacks on a confidential information resource in the dynamics of  their implementation. …”
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Deep Learning-Based Navigation System for Automatic Landing Approach of Fixed-Wing UAVs in GNSS-Denied Environments by Ying-Xi Lin, Ying-Chih Lai

“…Moreover, a line detection method is employed to accurately align the UAV with the runway, effectively resolving issues related to runway contours. …”
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A Prospective Cohort Study on the Respiratory Effect on Modified Mallampati Scoring by Rotem Naftalovich, Marko Oydanich, Janet Adeola, Jean Daniel Eloy, Daniel Rodriguez-Correa, George L. Tewfik

“…Mallampati scoring is a common exam method for evaluating the oropharynx as a part of the airway assessment and for anticipation of difficult intubation. …”
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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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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 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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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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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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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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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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Integrating AHP-Entropy and IPA Models for Strategic Rural Revitalization: A Case Study of Traditional Villages in Northeast China by Chenghao Wang, Guangping Zhang, Yunying Zhai

“…This research offers a visual and data-driven basis for differentiated revitalization strategies, integrating urban science methods, architectural thinking, and real estate development logic. …”
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A Single Bout of Aerobic Exercise Impact to Consolidation of Bilateral Movements in Older Adults by Florinta Čičirkaitė, Rima Solianik

“…To determine the effect of a single bout of aerobic exercise on learning of bilateral movements in older adults. Methods. The study included 20 older adults and they were assigned to a control (n = 10; age: 64.5 ± 3.1 years) or experimental (n = 10; age: 63.6 ± 2.1 years) group. …”
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Efficacy of Two Diode Laser Wavelenghts in the Management of Masticatory Disorders and Myofascial Pain by Anes Adnan Alshamaa, Hani Mohammed Al-Kufi, Anmar Sadaa Al-Halbosi, Sohaib Mohammed Awad

“…The maximal mouth opening was measured by digital caliper and the pain severity was evaluated using the Visual Analog Scale. The mouth opening and pain scale of the groups were then evaluated statistically using Multiple Wilcoxon sign rank adjusted by Dunn-Bonferroni method, and Tukey’s HSD tests. …”
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Screen shooting resistant watermarking based on cross attention by Lianshan Liu, Peng Xu, Qianwen Xue

“…The experimental results demonstrate that the proposed method not only reaches more than 95% accuracy in different capture scenarios but also excels in terms of reliability and invisibility relative to current state-of-the-art (SOTA) methods. …”
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A SIMPLIFIED MODEL OF THREE-PHASE BANK OF CURRENT TRANSFORMERS IN THE DYNAMIC SIMULATION SYSTEM by I. V. Novash, Yu. V. Rumiantsev

“…An elaborated user-friendly graphic interface provides a means of visual assigning the CT nominal parameters, the residual magnetic induction, and the method of the transformer iron magnetization curve approximation. …”
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Advanced comparative analysis of machine learning algorithms for early Parkinson's disease detection using vocal biomarkers by Ajay Kumar, Jay Parkash Singh, Priyanka Paygude, Rachan Daimary, Sandeep Prasad

“…Objective To investigate the potential of voice analysis—specifically sustained vowel phonation—as a non-invasive, cost-effective diagnostic method for early detection of Parkinson's disease (PD) using machine learning techniques. …”
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