EXPRESSION OF COLLAGENS IN THE DAMAGE AREA AT ABDOMINAL ADHESIONS by I. A. Shurygina, M. G. Shurygin, L. V. Rodionova, E. E. Chepurnykh, N. I. Ayushinova

“…For the first time, active involvement of type V alpha-3 collagen in the adhesion process was noted - we detected both early (from day 1) and maximum intensive (up to 166.96 times increase in comparison with intact animals). …”
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Infrastructure as Code for Cybersecurity Training by Rui Pinto, Rolando Martins, Carlos Novo

“…However, the caveats of high-cost infrastructure and difficulties in the deployment process of this kind of system, primarily due to the manual process of pre-configuring software needed for the training and relying on a set of static Virtual Machines, may take much work to circumvent. …”
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Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images by K. Lakshmi, Sibi Amaran, G. Subbulakshmi, S. Padmini, Gyanenedra Prasad Joshi, Woong Cho

“…Abstract Detecting brain tumours (BT) early improves treatment possibilities and increases patient survival rates. …”
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Atypical «overlapping» variants of inflammatory bowel diseases by Kh. M. Akhrieva, A. S. Tertychnyy, N. V. Pachuashvili, N. S. Marenich

“…In patients with UC, ileitis was detected in 18 patients, with the inflammatory process predominantly confined to the distal 1-2 cm of the ileum in most cases. …”
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Characteristics and Possible Causes for Extreme Precipitation in Summer over the Loess Plateau by Shan LU, Zeyong HU, Chunwei FU, Weiwei FAN, Di WU

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Land cover classification using Land Parcel Identification System (LPIS) data and open source Eo-Learn library by Fatih Fehmi Şimşek, Süleyman Savaş Durduran

“…The open source Eo-Learn library has been preferred because it provides great convenience to users in the classification process with ready-made machine learning models and easy access to satellite images, image processing steps (cloud masking, calculate index, feature extraction, temporal interpolation) are carried out in a certain workflow. …”
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High-performance ratiometric optical oxygen sensor fabricated via 3Dprinted silicone for biomedical applications by Rispandi, Cheng-Shane Chu, Abdulfatah Abdu Yusuf, Muhammad Imam Ammarullah

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Analysis of research fields involving wastewater-based epidemiology and interdisciplinary spillovers using a structural topic model by Michio Murakami, Yoshitaka Nishikawa, Masaaki Kitajima

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Structuring meaningful bug‐fixing patches to fix software defect by Hui Li, Yong Liu, Xuexin Qi, Xi Yu, Shikai Guo

“…To overcome these limitations, the authors proposed a new neural network‐based model named HopFix, designed to detect software defects that may be introduced during the coding process. …”
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OVERVIEW OF THE INTERNATIONAL SYMPOSIUM “NAPOLEONIC MYTHS IN WORLD CULTURE: EPISTEMOLOGY, AXIOLOGY, AND REPRESENTATIONS IN LITERATURE, HISTORIOGRAPHY, AND ART” by Elena D. Galtsova

“…Therefore, one can claim that Napoleonic myth is a myth in the process of its development. The study of the mechanisms of this process is a relevant task for the humanities. …”
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Reliability and Quality of Complex Systems by S.M. Gerashchenko, A.D. Semenov, S.I. Gerashchenko, N.V. Goryachev, I.M. Rybakov

“…Materials and methods. The process of transmitting the pressure generated by the pulse wave in the artery to the pressure sensor is considered as a process of propagation of elastic disturbances in the wave channel, which includes the walls of the brachial artery, the musculoskeletal tissues of the shoulder, the cuff, the connecting tube and the pressure sensor. …”

Cancer Discrimination Using Fourier Transform Near-Infrared Spectroscopy with Chemometric Models by Hui Chen, Zan Lin, Chao Tan

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Double-layer membrane framework-based gold microelectrode for determination of natural labile copper in complex water environments by Xinyue Hu, Haitao Han, Shanshan Wang, Dawei Pan

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Heterogeneous transfer learning model for improving the classification performance of fNIRS signals in motor imagery among cross-subject stroke patients by Jin Feng, YunDe Li, ZiJun Huang, Yehang Chen, SenLiang Lu, RongLiang Hu, QingHui Hu, YuYao Chen, XiMiao Wang, Yong Fan, Jing He

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An MCMC Approach to Bayesian Image Analysis in Fourier Space by Konstantinos Bakas, John Kornak, Hernando Ombao

“…One advantage of Fourier-based methods is that a large set of spatially correlated processes in image space can be represented via independent processes over Fourier space. …”
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Mutational landscape of SARS-CoV-2 genome in Turkey and impact of mutations on spike protein structure. by Ozden Hatirnaz Ng, Sezer Akyoney, Ilayda Sahin, Huseyin Okan Soykam, Gunseli Bayram Akcapinar, Ozkan Ozdemir, Derya Dilek Kancagi, Gozde Sir Karakus, Bulut Yurtsever, Ayse Sesin Kocagoz, Ercument Ovali, Ugur Ozbek

“…Our genomic findings can help to model vaccination programs and protein modeling may lead to different approaches for COVID-19 treatment strategies.…”
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Mini- FLOTAC Technique as a Diagnostic Tool for Intestinal Parasitosis in Low Intensity Settings by Amany I. Shehata, Sally A. Ezzat, Amel A. El-Sahn, Safaa M. Eassa

“…Diagnosis is an important part of parasitic control programs, but till now there is no gold standard method for diagnosing IPIs. …”

Contaminant Exposure and Liver and Kidney Lesions in North American River Otters in the Indian River Lagoon, Florida by Ami Krasner, Megan Stolen, David Rotstein, Spencer Fire

“…The harmful algal bloom (HAB) liver toxin microcystin (MC) and trace element biomagnification were previously detected in organisms in the Indian River Lagoon (IRL), Florida. …”
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ANALYSIS OF EMERGENCY SITUATIONS IN THE OPERATING ZONE OF THE NORTH CAUCASUS RDU. WAYS OF ITS DEVELOPMENT by D. Gura, A. Korolkov, V. Pastorov, V. Kozhevnikov, V. Yalovoi

“…Reliable operation of the UES of Russia depends to a large extent on the timely detection, registration and transmission to the dispatch and technological control centers of data on emergency events and processes in the event of accidents in the power system. …”
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Performance Evaluation of Extended EWMA Chart for AR Model with Exogenous Variables by Totsaporn Muangngam, Yupaporn Areepong, Saowanit Sukparungsee

“…In comparing the two control charts, it is evident that the extended EWMA control chart outperforms the traditional control chart in detecting shifts in the process mean, as confirmed by various overall performance criteria. …”
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