Identification of Susceptibility Modules and Genes for Cardiovascular Disease in Diabetic Patients Using WGCNA Analysis by Weiwei Liang, Fangfang Sun, Yiming Zhao, Lizhen Shan, Hanyu Lou

“…Genes with a false discovery rate<0.05 and a log2 fold change≥0.5 were included in the analysis. …”
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Modulatory mechanisms of long-term volleyball practice on visuospatial working memory capacity: an fNIRS study by Wen Zhang, Jingru Liu, Fangfang Hu, Yang Liu, Chao Kan

“…Results Compared with the novice group, the experts showed a higher accuracy rate (ACC) (p = 0.021) and shorter reaction time (RT) (p = 0.019) in the visuospatial working memory test. fNIRS data showed increased oxygen activation in the right dorsolateral prefrontal lobe (p < 0.05) and the right frontal region (p < 0.05). …”
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Channel Estimation Using CNN-LSTM in RIS-NOMA Assisted 6G Network by Chi Nguyen, Tiep M. Hoang, Adnan A. Cheema

“…The combination of non-orthogonal multiple access (NOMA) and reconfigurable intelligent surface (RIS) technologies is proposed to meet the demands of data rate, latency, and connectivity in sixth-generation (6G) networks. …”
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Rapid and accurate classification of mung bean seeds based on HPMobileNet by Shaozhong Song, Shaozhong Song, Shaozhong Song, Zhenyang Chen, Helong Yu, Helong Yu, Mingxuan Xue, Mingxuan Xue, Junling Liu

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MEDICAL AND STATISTICAL CHARACTERISTICS OF BREAST CANCER IN ST. PETERSBURG FEMALE RESIDENTS by N. S. Romanenkov, V. V. Hizha, K. N. Movchan, U. M. Morozov, R. M. Gedgafov, A. S. Slobodkina

“…Petersburg in 2011–2017. For statistical data processing Statistica 12.0 for Windows, Population Cancer Register and MedInfo-4 were used. …”
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The diagnostic value of endometrial cytology in diagnosing endometrial pathology by Nadezhda Hinkova, Kamelia Tsvetanova, Tihomir Totev, Margarita Nikolova, Teodora Semova, Dimitar Dimitrov, Elitsa Petkova

“…We compared the cytological results to evaluate the test validity, including sensitivity, specificity, and negative and positive predictive value in the cases with endometrial carcinoma. Statistical data processing was performed using the software programs MS Office Excel 2019 and IBM SPSS Statistics 28.0. …”
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Epidemiological Analysis of the Frequency of Acute Respiratory Diseases and Diseases of the Circulatory System Using Medical Information Technologies by M. A. Papicheva, I. I. Yakushina

“…Acute respiratory diseases (ARD) refer to mass infectious diseases, cause significant economic damage by provoking the development of diseases of the circulatory system, and the seasonal incidence of ARI is a predictor of mortality from cardiovascular diseases, which requires timely statistical accounting using the medical information system (MIS).The aim of the study was to quantitatively assess the risk of exposure to ARIs on the occurrence of diseases of the circulatory system using statistical data processing using MIS.Materials and methods. …”
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LAST-PAIN: Learning Adaptive Spike Thresholds for Low Back Pain Biosignals Classification by Freek Hens, Mohammad Mahdi Dehshibi, Leila Bagheriye, Ana Tajadura-Jimenez, Mahyar Shahsavari

“…However, a significant challenge is the efficient conversion of continuous real-world data into the discrete spike trains required by SNNs. …”
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A Database-based Automatic Cartography Method by T. Zhao, T. Zhao, Y. Peng, Y. Peng, W. Liu, W. Liu, W. Ma, X. Di, Z. Cai, X. Wang, X. Wang, L. Che

“…In this paper, based on the existing multi-scale database, we study a database-based automatic cartography method to meet the needs of multi-scale map cartography, and replace the traditional process by the intelligent processing of software to shorten the cycle of cartography, improve the productivity of map cartography, and at the same time, reduce the error rate caused by manual work, and improve the overall quality of map production.…”
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Detection of posttraumatic pneumothorax using electrical impedance tomography-An observer-blinded study in pigs with blunt chest trauma. by Felix Girrbach, Tobias Landeck, Dominic Schneider, Stefan U Reske, Gunther Hempel, Sören Hammermüller, Udo Gottschaldt, Peter Salz, Katharina Noreikat, Sebastian N Stehr, Hermann Wrigge, Andreas W Reske

“…<h4>Conclusion</h4>In our analysis, visual interpretation of EIT without specific image processing or comparison with baseline data did not allow clinically useful diagnosis of posttraumatic PTX. …”
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Object detection with afordable robustness for UAV aerial imagery: model and providing method by Viacheslav Moskalenko, Artem Korobov, Yuriy Moskalenko

“…Neural network object detectors are increasingly being used for aerial video analysis, with a growing demand for onboard processing on UAVs and other limited resources. However, the vulnerability of neural networks to adversarial noise, out-of-distribution data, and fault injections reduces the functionality and reliability of these solutions. …”
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Learning Intelligent for Effective Sonography (LIFES) Model for Rapid Diagnosis of Heart Failure in Echocardiography by Lies Dina Liastuti, Bambang Budi Siswanto, Renan Sukmawan, Wisnu Jatmiko, Idrus Alwi, Budi Wiweko, Aria Kekalih, Yosilia Nursakina, Rindayu Yusticia Indira Putri, Grafika Jati, Mgs M Luthfi Ramadhan, Ericko Govardi, Aqsha Azhary Nur

“…Methods: A cross-sectional diagnostic test was conducted using consecutive sampling of HF and normal patients’ echocardiography data. The gold-standard comparison was HF diagnosis established by expert cardiologists based on clinical data and echocardiography. …”
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Advances in Infant Cry Paralinguistic Classification—Methods, Implementation, and Applications: Systematic Review by Geofrey Owino, Bernard Shibwabo

“…Denoising techniques and federated learning were limitedly used to enhance model robustness and ensure data confidentiality from 5% (n=6) of the studies. …”
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AI-enhanced rapid diagnostic testing platform for mass opisthorchiasis screening by Prem Junsawang, Anchalee Techasen, Kannika Wiratchawa, Yupaporn Wanna, Phattharaphon Wongphutorn, Chanika Worasith, Paiboon Sithithaworn, Sahan Bulathwela, Thanapong Intharah

“…The data processing server periodically retrieves and processes data from the cloud database, enabling comprehensive daily visualization through the intelligent dashboard. …”
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Research on optimization of indoor positioning batch ranging system based on DS-TWR algorithm by Hongwei SUN, Xuehong CAO, Liangbao JIAO, Lin MENG, Ziheng LIU, Feng YUAN

“…Aiming at the current problems of the ultra wide band (UWB) indoor positioning system based on the double sided two-way ranging (DS-TWR) algorithm, there are more communication times and a higher conflict rate in a multi-tag environment, an improved algorithm was proposed.The Hash algorithm to hash and distribute the communication content between the tag and the anchor was used, so that the anchor could reply to multiple tags in a regular and unified manner during each ranging process, which greatly reduced the number of times the anchor sends RES (responds) data.Experimental results show that the improved algorithms’ communication times between a tag and the anchor were reduced by 15% compared with the traditional DS-TWR algorithm, which increases the time proportion of the anchor receiving state in ranging, thereby reducing the anchor receiving RNG (range) data.The collision rate of packets, the success rate of ranging has increased by 43.6%.Due to the reduction in the number of communications required in each positioning cycle and the reduction in the collision rate between data packets, a smaller channel capacity would be required, thereby increasing the label capacity of the positioning system, which has strong engineering significance.…”
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Retracted: VR Technology in Marketing From the Perspective of Customer Experience by Xiangxi Kong, Dewen Liu, Liangyu Min

“…Based on the application of VR technology in marketing from the perspective of customer experience, the research results show that after using the research method of this article, the data error rate is significantly controlled, and the data error rate is maintained within five percentage points, compared with previous studies The method data accuracy rate is increased by 15&#x0025;, and the data accuracy rate is higher, which has certain practical value.…”
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FruitsMultiNet: A deep neural network approach to identify fruits through multi-scale feature fusion using mobile interface by Tasauf Mim, Md Mahbubur Rahman, Jahanur Biswas, Ahmad Shafkat, Khandaker Mohammad Mohi Uddin

“…The data were preprocessed before the feature extraction phase to achieve more accurate outcomes. …”
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The state of cancer care in Russia: breast cancer. Epidemiology and survival of patients. The impact of the SARS-CoV-2-beta-coronavirus epidemic (clinical and population study) by V. M. Merabishvili, V. F. Semiglazov, A. V. Komiakhov, T. Yu. Semiglazova, P. V. Krivorotko, А. M. Belyaev

“…More than 110 thousand primary cases of breast cancer were selected. Data processing was carried out by standard methods of oncology statistics recommended by the International Association of Cancer Registries (Eurocare program).Results. …”
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Effects of HALP Score, C-Reactive Protein/Albumin Ratio, and Platelet/Lymphocyte Ratio on Predicting Mortality in Geriatric Patients in the Respiratory Intensive Care Unit by Uluç K, Akkütük Öngel E, Çolakoğlu ŞM, Köylü İlkaya N, Devran Ö, Küçük AO, Kutbay Özçelik H

“…Age, gender, HALP score, hemoglobin, albumin, lymphocyte, platelet, and C-reactive protein (CRP) levels, along with PLR, CAR, and patient prognosis (exitus/discharge), were recorded from patient files and the hospital data processing system.Results: The study included 405 patients (140 women and 265 men) over 65 years of age. …”
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Modelling growth of two Listeria monocytogenes strains, persistent and non-persistent: Effect of temperature by Ľubomír Valík, Jana Minarovičová, Eva Kaclíková, Adriana Véghová, Tomáš Kuchta

“…However, the average growth rates were significantly higher (p < 0.05) for LM-P than for LM-S at 40 °C and 43 °C in both media. …”
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