Spontaneous blinking and brain health in aging: Large-scale evaluation of blink-related oscillations across the lifespan by Sujoy Ghosh Hajra, Jed A. Meltzer, Prerana Keerthi, Chloe Pappas, Allison B. Sekuler, Cam-CAN Group, Careesa Chang Liu

“…Crucially, these age-related differences were not observed in the behavioral measures of task performance such as reaction time and accuracy, suggesting that blink-related neural responses during the target detection task are more sensitive in capturing aging-related brain function changes compared to behavioral measures alone. …”
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Does tinnitus and emotional distress influence central auditory processing? A comparison of acute and chronic tinnitus in normal-hearing individuals. by Qian Zhou, Wenling Jiang, Haibin Sheng, Qinjie Zhang, Dian Jin, Haifeng Li, Meiping Huang, Lu Yang, Yan Ren, Zhiwu Huang

“…<h4>Design</h4>This study compared the auditory afferent and efferent functions of normal-hearing patients with acute tinnitus, chronic tinnitus, and control group using gap detection test, the Mandarin Hearing in Noise Test (MHINT), and contralateral suppression of transient evoked otoacoustic emissions (TEOAEs).…”
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Empirical Therapy of Complicated Pyelonephritis by V. A. Beloborodov, V. A. Vorobev, P. V. Opanasyuk

“…Aminoglycosides showed the best result as a combination therapy with cephalosporins – 100 % (n = 3) of success. Based on multivariate logistic regression analysis, it was established that the detection of microhematuria and uremia in clinical analyzes upon admission to the hospital increases the likelihood of empirical monotherapy with third-generation cephalosporins by 20 % and 27 %, respectively.Conclusion. …”
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The Development and Use of a Genre Statement for Electronic Journals in the Sciences by Jennifer Weintraub

“…A third section describes the selection strategy for scientific electronic journals, including the key selection tools and sources used (print and electronic) in identifying electronic journals for consideration. …”
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Development and evaluation of the remote passive integrated transponder tag reader for customizable monitoring of wildlife by Staci M. Amburgey, Aadithya Prakash, Amy A. Yackel Adams, Shane R. Siers, Sarah J. Converse

“…We evaluated differences in scanning success as a function of snake traits, location of PIT tags within snakes, and the distance of the PIT tag from the reader. …”
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Faeces, Feathers and Flight: Understanding of Escape Behaviour in Incubating Eurasian Woodcocks (Scolopax rusticola) by Martin Sládeček, Kateřina Brynychová, Lucie Nutilová, Miroslav E. Šálek

“…One behaviour suggested to have an antipredatory function is defecating over the nest and eggs when departing. …”
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Impact of UAV-Derived RTK/PPK Products on Geometric Correction of VHR Satellite Imagery by Muhammed Enes Atik, Mehmet Arkali, Saziye Ozge Atik

“…Satellite imagery is a widely used source of spatial information in many applications, such as land use/land cover, object detection, agricultural monitoring, and urban area monitoring. …”
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Digital Twins by Physical Education Teaching Practice in Visual Sensing Training System by Xinran Liu, Ji Jiang

“…Moreover, 25 participants are invited to carry out the exercise detection and analysis experiment, and the joint monitoring of their daily movements is tested. …”
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Theoretical Model of Possibility of 15-minute City in Urban Planning Using the Meta-Synthesis Method by Hafez Mahdnejad

“…About 81% of the sources are related to the years 2022 and 2021. 16% of the selected sources are related to the years 2020 and 2019. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…IntroductionDetection of tree leaf diseases plays a crucial role in the horticultural field. …”
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Egyptian pediatric kidney transplantation: highlights on post-transplant follow-up and management of complications by the Egyptian Pediatric Clinical Practice Guidelines Committee... by Bahia Moustafa, Neveen A. Soliman, Ihab Shaheen, Ahmed Badr, Fatma M. Atia, Mohamed K. El Hatw, Engy Adel Mogahed, Mona EL-Ghamrawy, Khaled El Khashab, Noha Shaheen, Mohamad G. Shouman, Abeer Selim, Magdy El-Sharkawy, Tarek Abd El Azeem, Mohamad Esmat, Manal Salman, Bedeir Ali-El-Dein, Mona Abdel Rahim, Muhamed A. El-Hadedy, Moatasem Elsayed Ghoneim, Mai S. Korkor, Tarek E. I. Omar, Yasser Amer, Ashraf Abdel Baky, On Behalf of Egyptian Pediatric Clinical Practice Guideline Committee

“…Infections, rejection, recurrence, malignancy, bone problems, hypertension, and surgical complications are the most important challenges that require prevention, early detection, and management. Chronic allograft nephropathy needs different approaches based on its related causes, allograft pathology, graft function, and availability of re-transplantation. …”
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Reconstruction of the object inhomogeneity parameters from near-field measurements in microwave tomography problem using neural networks by A.V. Medvedev, M.Yu. Medvedik

“…The field is induced by a point source located outside the body. Materials and methods. …”

Adaptive Scheduling in Cognitive IoT Sensors for Optimizing Network Performance Using Reinforcement Learning by Muhammad Nawaz Khan, Sokjoon Lee, Mohsin Shah

“…To address these challenges and to establish a connected network, there is always a need for a system to evaluate the contents of detected data values and dynamically switch sensor states based on their function. …”
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Obstacle shape determination by mobile robot sensor system using GP2Y0A (Sharp) type IR distance sensors by V. P. Andreev

“…However, such a sensor can only detect an obstacle and determine а distance to a certain point on its surface. …”
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The Role of Social Media in Promoting Volunteer Initiatives and Shaping Communities by Iefimova Ganna V., Pashchenko Kseniia O.

“…The methodological basis of the research is an interdisciplinary approach that combines content analysis of social platforms, study of successful volunteer initiatives, and analysis of literary sources. An analysis of the functions of various social media in the context of informing, engaging the audience, and building trust has been carried out. …”
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Prospects for the Integration of Google Trends Data and Official statistics to Assess social Comfort and Predict the Financial situation of the Population by M. V. Shakleinaa, M. I. Volkova, K. I. Shaklein, S. R. Yakiro

“…Google Trends data analysis methods are based on the development of an integrated approach to the semantic search for information about the components of social comfort, which reduces the share of author’s subjectivity; methodology of primary processing, considering the principles of comparability, homogeneity, consistency, relevance, description of functions and models necessary for the selection and adjustment of search queries. …”
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Characterization of Power System Oscillation Modes Using Synchrophasor Data and a Modified Variational Decomposition Mode Algorithm by José Oscullo Lala, Nathaly Orozco Garzón, Henry Carvajal Mora, Diego Echeverria, José Vega-Sánchez, Takaaki Ohishi

“…A novel energy-based selection mechanism is introduced to determine the optimal number of intrinsic mode functions (IMFs), improving the decomposition’s adaptability and precision. …”
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Experiments on the application of the infrasound method of remote monitoring of snow avalanches in the Khibiny Mountains by A. V. Fedorov, I. S. Fedorov, V. E. Asming, A. Yu. Motorin

“…Visual slope observations are still the main method of avalanche detection. As a result, avalanche statistics, especially in remote mountain areas, remain incomplete. …”
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Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation by Ning Dai, Xiaohan Hu, Kaixin Xu, Xudong Hu, Yanhong Yuan, Bo Cao, Luhong Shi

“…In the field of fabric defect detection, the development of algorithms has been hindered by issues such as poor quality and limited quantity of open-source datasets. …”
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Game Strategies for Data Transfer Infrastructures Against ML-Profile Exploits by Nageswara S. V. Rao, Chris Y. T. Ma, Fei He

“…The infrastructure&#x2019;s throughput profile, estimated as a function of the connection round trip time using Machine Learning (ML) methods, is an indicator of its operational state, and has been utilized for monitoring, diagnosis and optimization purposes. …”
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