Methodology for assessing the business activity index of an enterprise based on the analysis of the business environment by Glukhov Vladimir, Kolomysova Mariia

“…An overview of common business activity indices is presented, methods for their calculation are given, a generalized method for calculating the consolidated business activity index is presented, the role of business activity as an indicator of economic system development is shown; indicators for assessing business activity are systematized in relation to the specifics of entrepreneurial activity. …”
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Methylation Status of the Telomerase Reverse Transcriptase Promoter in Parotid Tumours and Adjacent Parotid Gland Tissue: A Pilot Study on the Implications for Recurrence and Devel... by António Paiva-Correia, Joana Apolónio, Alfons Nadal, José Ricardo Brandão, Nádia Silva, Bianca Machado, Ivan Archilla, Pedro Castelo-Branco, Henrik Hellquist

“…Methods: THOR methylation was assessed by quantitative pyrosequencing in 96 parotid tissue samples (benign and malignant), including non-neoplastic parotid tissue, PA, recurrent PA (rPA), and carcinomas, along with their adjacent tissues. …”
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DETAILED AIRBORNE GEOPHYSICAL SURVEY OF COMPLEXLY DISLOCATED STRATA IN THE SUTAM TERRANE (ALDAN SHIELD) DURING STUDIES OF IRON-ORE DEPOSITS by A. A. Syasko, N. N. Grib, V. S. Imaev, L. P. Imaeva, I. I. Kolodeznikov

“…Magnetic exploration is the most informational and economical method of prospecting and exploration of iron-ore deposits. …”
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Circular RNA_0003489 reflects unfavorable treatment response and shortened survival in newly diagnosed multiple myeloma patients who receive bortezomib-based induction therapy by Senhua Song, Junjie Xie, Biao Xu, Qijie Ran

“…Circ_0003489 derived from BM plasma cells was detected by reverse transcription-quantitative polymerase chain reaction and cut by quartile and median for further analysis.Results Circ_0003489 expression was increased in NDMM patients versus donor controls (P < 0.001). …”
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ANTI-CORRUPTION AUDIT OF COMPANIES AND FORESIGHT ANALYSIS IN TERMS OF THE STATE'S EUROPEAN INTEGRATION ECONOMIC POLICY by Анастасія Майстренко, Каріна Назарова, Тетяна Копотієнко, Роман Овчарик, Вікторія Міняйло, Наталія Шалімова

“…Based on the analysis of the dynamics of detected financial violations by the State Audit Service of Ukraine in the region for 2019-2023, the TOP-3 conditional regions that are prone to violations, including corruption, have been determined. …”
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Spatiotemporal trends in Anopheles funestus breeding habitats by Grace R. Aduvukha, Elfatih M. Abdel-Rahman, Bester Tawona Mudereri, Onisimo Mutanga, John Odindi, Henri E.Z. Tonnang

“…This study demonstrates the feasibility of using semi-automated methods to detect both permanent and impermanent An. funestus breeding habitats under conditions of limited data. …”
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Development of a cuproptosis-related prognostic signature to reveal heterogeneity of the immune microenvironment and drug sensitivity in acute lymphoblastic leukemia by Bingxin Zhang, Shuxia Zhu, Dong Zheng, Xinyi Zhang, Wenxia Xie, Shujuan Zhou, Sisi Zheng, Quanqiang Wang, Zhili Lin, Ziwei Zheng, Zixing Chen, Enqing Lan, Luning Cui, Hansen Ying, Yu Zhang, Xuanru Lin, Qiang Zhuang, Honglan Qian, Xudong Hu, Yan Zhuang, Qianying Zhang, Zhouxiang Jin, Songfu Jiang, Yongyong Ma

“…Lastly, qRT-PCR was used to detect prognostic genes in cell lines and clinical samples. …”
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Characteristics of the Epidemic Situation Associated with Acute Respiratory Viral Infections in the Russian Federation during the Pandemic Spread of COVID-19 by T. A. Semenenko, V. G. Akimkin, E. I. Burtseva, A. V. Nozdracheva, E. G. Simonova, A. V. Tutelyan, S. V. Ugleva, S. N. Kuzin

“…Conclusion. The forecast for the upcoming epidemic season 2022–2023 largely depends on the spread of the new coronavirus SARS-CoV-2, as well as its variability and the emergence of new variants. …”
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Diagnostic criteria for acute kidney injury based upon serum creatinine reference change in the diagnosis of acute kidney injury and prediction of progression of chronic kidney dis... by Hua Rui-xue, Zou Lu-xi, Wu Yu, Wang Tao, Sun Ling

“…More ACKI patients were detected by cROCK than KDIGO criteria （68.1% <italic>vs</italic> 59.7%， <italic>P</italic>=0.001）. …”
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Dynamics of changes in population immunity to the SARS-CоV-2 virus in residents the Irkutsk region in the context of the COVID-19 pandemic by S. V. Balakhonov, V. I. Dubrovina, A. B. Pyatidesyatnikova, D. D. Briukhova, N. O. Kiseleva, K. M. Korytov, V. V. Voitkova, A. N. Perezhogin, M. V. Chesnokova, T. A. Gavrilova, A. A. Seledtcov

“…After the disease, on average, 41.6% of persons did not detect antibodies. The results obtained should be taken into account when organizing preventive measures, including vaccination, and predicting morbidity.…”
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The global impact of non-alcoholic fatty liver disease (including cirrhosis) in the elderly from 1990 to 2021 and future projections of disease burden. by Siying Huang, Weitao Hu, Taiyong Fang

“…The Joinpoint regression model was utilized to detect turning points in the epidemiological trends of NAFLD, and decomposition analysis was performed to analyze the factors influencing these trends. …”
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Global, regional, and national burdens of pertussis among adults: a systematic analysis of age-specific trends using Global Burden of Diseases 2021 data by Kangguo Li, Jiadong Wu, Ruixin Zhang, Yulun Xie, Zecheng Zhou, Qi Yin, Qi Chen, Jia Rui, Xuhua Guan, Zeyu Zhao, Tianmu Chen

“…Temporal trends were analysed using joinpoint regression to detect significant changes and calculate the average annual percentage change (AAPC). …”
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Lightning identification based on multiple weather radar product data by Mingyue Lu, Tongtong Dong, Min Chen, Manzhu Yu, Hui Liu, Caifen He, Jingke Zhang, Yongwei Mao

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MYCOLOGICAL ISOLATION AND IDENTIFICATION IN THE CAFETERIA OF HAWLER CITY KURDISTAN REGION, IRAQ by Tablo Abdulrahim Ahmed

“…In order to forecast the effects of the fungi on humans, this study was conducted to isolate and identify the fungi in three distinct samples in the college of science cafeteria. …”
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Benchmarking and improving algorithms for attributing satellite-observed contrails to flights by A. Sarna, V. Meijer, R. Chevallier, A. Duncan, K. McConnaughay, S. Geraedts, K. McCloskey

“…In this work, we present a method for producing synthetic contrail detections with predetermined contrail-to-flight attributions that can be used to evaluate – or “benchmark” – and improve such attribution algorithms. …”
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Research on Mount Wilson Magnetic Classification Based on Deep Learning by Yuanbo He, Yunfei Yang, Xianyong Bai, Song Feng, Bo Liang, Wei Dai

“…The Mount Wilson magnetic classification of sunspot groups is thought to be meaningful to forecast flares’ eruptions. In this paper, we adopt a deep learning method, CornerNet-Saccade, to perform the Mount Wilson magnetic classification of sunspot groups. …”
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Computational intelligence analysis on drug solubility using thermodynamics and interaction mechanism via models comparison and validation by Ahmad J. Obaidullah, Wael A. Mahdi

“…The results of this study show the robustness of GPR in generating reliable and precise forecasts, thus providing a strong method for intricate regression tasks in pharmaceutical and other scientific fields. …”
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Scrutinized Report of Artificial Intelligence in the Field of Dentistry and Forensic Odontology by R. Ashwini, Raman Dineja

“…Beyond the human eye’s capabilities, AI is capable of accurately detecting microfeatures that can improve important diagnosis predictive value. …”
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Results of simulation of performance indicators for the oncological service when introducing innovative technologies for treatment of stage IV lung cancer by S. A. Sterlikov, O. V. Zelenova, S. I. Аbramov, V. M. Danilov, Yu. V. Mikhaylova, N. A. Golubev

“…To make managerial decisions about the introduction of innovative drugs, a forecast of expected results is required which should be improved indicators of the State Program On Healthcare Development. …”
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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…Leveraging deep learning models, it becomes feasible to detect and forecast the early stages of numerous diseases based on individual health conditions. …”
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