Russian business in the context of the growth of cybercrime: changes in economic behavior and protective mechanisms by S. G. Simonov, I. V. Lysenko

“…Due to the low demand of entrepreneurs for vulnerability search services in the company’s software, web applications and IT infrastructure, it is proposed to build a typical SOC that meets the most minimal standards for combating cybercrime. An algorithm has been developed to achieve them in the form of step-by-step implementation of simple organizational and methodological recommendations for the prevention of cybercrimes and minimizing their consequences for small and medium-sized businesses.…”
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Targeting HVEM-GPT2 axis: a novel approach to T cell activation and metabolic reprogramming in non-small cell lung cancer therapy by Yuanshan Yao, Chunji Chen, Bin Li, Wen Gao

“…Crucially, HVEM, part of the tumor necrosis factor receptor superfamily, influences T cell activation, potentially impacting immunotherapeutic outcomes. Using the TIDE algorithm, our results showcased a link between HVEM levels and immune dysfunction in NSCLC patients. …”
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Preterm preeclampsia screening and prevention: a comprehensive approach to implementation in a real-world setting by Stefania Ronzoni, Shamim Rashid, Aimee Santoro, Elad Mei-Dan, Jon Barrett, Nanette Okun, Tianhua Huang

“…Risk for preterm preeclampsia was assessed using the Fetal Medicine Foundation algorithm, which includes maternal risk factors, uterine artery Doppler, mean arterial pressure and serum markers (Placental growth factor, PlGF and Pregnancy-associated plasma protein-A, PAPP-A). …”
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MARVEL Analysis of the Measured High-resolution Spectra of 12C16O by Salman Mahmoud, Nayla El-Kork, Nariman Abu Elkher, Mubarak Almehairbi, Malathe Samir Khalil, Tibor Furtenbacher, Attila G. Császár, Olga P. Yurchenko, Sergey N. Yurchenko, Jonathan Tennyson

“…The Measured Active Rotational–Vibrational Energy Levels (MARVEL) algorithm is used to determine accurate empirical rotational–vibrational energy levels for the ground electronic state of the diatomic ^12 C ^16 O molecule. 2293 energy levels have been obtained through a careful analysis of lines measured and assigned in high-resolution experimental spectra reported previously in 68 publications. …”
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Segmentasi Pelanggan B2B dengan Model LRFM Menggunakan Algoritma Fuzzy C-Means pada Rotte Bakery by Dea Putri Ananda, Siti Monalisa

“…In this study, we employed the LRFM model (Length, Recency, Frequency, and Monetary) with the Fuzzy C-Means algorithm for customer segmentation. The Davies Bouldien-Index validation method was used to determine the optimal number of clusters. …”
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Segmentasi Pelanggan Majalah pada Situs Web E-Commerce dengan K-Means++ dan Metode RFM by Andrew Lomaksan Manuel Tampubolon, Thio Marta Elisa Yuridis Butar Butar, Siti Rochimah

“…This study applies the Recency, Frequency, and Monetary (RFM) method combined with the K-Means++ clustering algorithm for customer segmentation. The Silhouette score serves as an indicator for selecting the most optimal value of k to determine the number of clusters. …”
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Digital mapping of soil salinity with time-windows features optimization and ensemble learning model by Shuaishuai Shi, Nan Wang, Songchao Chen, Bifeng Hu, Jie Peng, Zhou Shi

“…An advanced feature-selection algorithm was then applied to refine the model-relevant features, and the transferability of the method across different regions was validated through empirical testing. …”
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Identification and validation of immune and diagnostic biomarkers for interstitial cystitis/painful bladder syndrome by integrating bioinformatics and machine-learning by Tao Zhou, Can Zhu, Wei Zhang, Qiongfang Wu, Mingqiang Deng, Zhiwei Jiang, Longfei Peng, Hao Geng, Zhouting Tuo, Zhouting Tuo, Ci Zou

“…Hub genes in IC/BPS patients were identified through the application of three distinct machine-learning algorithms. Additionally, the inflammatory status and immune landscape of IC/BPS patients were evaluated using the ssGSEA algorithm. …”
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Models based on dietary nutrients predicting all-cause and cardiovascular mortality in people with diabetes by Fang Wang, Yukang Mao, Jinyu Sun, Jiaming Yang, Li Xiao, Qingxia Huang, Chenchen Wei, Zhongshan Gou, Kerui Zhang

“…The least absolute shrinkage and selection operator (LASSO) regression and random forest (RF) algorithm were applied to identify key mortality-related dietary factors, which were subsequently incorporated into risk prediction nomogram models. …”
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Резолюция Экспертного совета «Диагностика и лечение больных со сладжем в желчном пузыре» by V. T. Ivashkin, Alexey V. Okhlobystin, Dmitry S. Bordin, M. F. Osipenko, E. Ya. Seleznyova, Yu. O. Shulpekova, S. R. Abdulkhakov, O. P. Alexseyeva, I. G. Bakulin, L. G. Vologjhanina, V. B. Grinevich, N. V. Bakulina, T. A. Kolesova, N. V. Korochanskaya, I. V. Putintseva, A. S. Sarsenbayeva, N. S. Yazenok

“…Advisory council activity provided the algorithm of diagnosis and treatment of biliary sludge. …”
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Machine learning based on blood test biomarkers predicts fast progression in advanced NSCLC patients treated with immunotherapy by Jie Yang, Jian-Guo Zhou, Benjamin Frey, Hu Ma, Haitao Wang, Markus Hecht, Rainer Fietkau, Udo Gaipl, Xiaofei Chen, Ada Hang-Heng Wong, Fangya Tan, Si-Si He, Gang Shen, Yun-Jia Wang, Wenzhao Zhong

“…The Support Vector Machine (SVM) algorithm applied to these four blood test parameters demonstrated good performance: the area under the ROC curve obtained from the training cohort (OAK), validation cohort 1 (BIRCH) and cohort 2 (merged POPLAR and FIR) were 0.908, 0.666 and 0.776, respectively. …”
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Mathematical modelling-based blockchain with attention deep learning model for cybersecurity in IoT-consumer electronics by Hayam Alamro, Mohammed Maray, Jawhara Aljabri, Saad Alahmari, Monir Abdullah, Jehad Saad Alqurni, Faiz Abdullah Alotaibi, Abdelmoneim Ali Mohamed

“…The MGOADL-CS technique uses an improved tunicate swarm algorithm (ITSA) based feature selection approach for dimensionality reduction. …”
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Analisis Sentimen untuk Evaluasi Reputasi Merek Motor XYZ Berkaitan dengan Isu Rangka Motor di Twitter Menggunakan Pendekatan Machine Learning by Ferdian Maulana Akbar, Robby Hermansyah, Sofian Lusa, Dana Indra Sensuse, Nadya Safitri, Damayanti Elisabeth

“…The goal was to identify the best algorithm for categorizing tweets and provide recommendations to Motor XYZ about their brand reputation concerning the frame issue. …”
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Implementation of Compensation-Sensitive Shot-Style-Feedback of Aiming Point Training Data at the Swiss Shooting Federation by Dino Tartaruga, Ralf Kredel

“…The analysis is performed according to the methods proposed in our study, including the use of a validated movement phase segmentation algorithm of aiming point trajectory data and the identification of compensation-sensitive shot styles based on this data. …”
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EpCare: Prototipe Sistem Detektor Pre-Iktal Pasien Epilepsi Berbasis Fitur CSI dari Sinyal EKG 1 Kanal Menggunakan AD8232 by Diah P. Wulandari, Arief Kurniawan, Alvin Nathanael, Santi W. Purnami, Anda L. Juniani, Wardah R. Islamiyah

“…Patient’s heart electricity is measured using 3 electrodes which are connected to AD8232 to represent 1 channel signal. Pan-Tompkins algorithm is implemented to obtain RR intervals of ECG signals. …”
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Outcomes in heart failure patients discharged to skilled nursing facilities with delirium by Jacob Lafo, Mriganka Singh, Lan Jiang, Stephen Correia, Caroline Madrigal, Rachel Clements, Wen‐Chih Wu, Sebhat Erqou, James L. Rudolph

“…Delirium was determined using the Minimum Data Set 3.0 Confusion Assessment Method algorithm. Proportional hazard regression analyses were used to model outcomes and were adjusted for covariates of interest. …”
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Habitat suitability modeling for Posidonia oceanica distribution along a Mediterranean region (NW Italy) by Rachele Bordoni, Chiara Paoli, Monica Montefalcone, Alice Oprandi, Ilaria Rigo, Francesca Ruggeri, Paolo Vassallo

“…To address this need, we developed habitat suitability models (HSMs), built up using the Random Forest algorithm in R software, that assess the suitability of the environment for the presence of P. oceanica in the Ligurian Sea (NW Italy).Model response variables included potential seabed areas characterized by P. oceanica habitats on soft and rocky bottoms, down to 50 m depth. …”
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Development of Attenuated Total Reflectance Mid-Infrared (ATR-MIR) and Near-Infrared (NIR) Spectroscopy for the Determination of Resistant Starch Content in Wheat Grains by Rong Wang, Xia Wei, Hongpan Wang, Linshu Zhao, Cengli Zeng, Bingrui Wang, Wenying Zhang, Luxiang Liu, Yanhao Xu

“…Calibration models with four preprocessing techniques based on the partial least squares (PLS) algorithm were built. In the NIR technique, the mean normalization + Savitzky–Golay smoothing (MN + SGS) preprocessing technique had a higher coefficient of determination (Rc2 = 0.672; Rp2 = 0.552) and a relative lower root mean square error value (RMSEC = 0.385; RMSEP = 0.459). …”
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Comparison of IMO vifa24plus(1-2) and Humphrey Field Analyzer 24-2 by Takagi Y, Asano R, Yamashita K, Sakai Y, Yokoyama S, Ichikawa K, Ichikawa K

“…On the same day, the HFA 24– 2 test using the Swedish Interactive Threshold Algorithm Standard and the IMO vifa 24plus(1– 2) test using the Ambient Interactive Zippy Estimated strategy were performed. …”
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Can primary care research be conducted more efficiently using routinely reported practice-level data: a cluster randomised controlled trial conducted in England? by Jeremy Horwood, Alastair D Hay, Patricia Jane Lucas, Clare Clement, Peter S Blair, Jodi Taylor, Christie Cabral, Martin C Gulliford, Jenny Ingram, Padraig Dixon, Nick Francis, Athene Lane, Grace Young, Elizabeth Beech, Penny Seume, Scott Bevan, Sam T Creavin

“…By using aggregate level, routinely collected data for the coprimary outcomes, we removed the need to recruit individual participants.Setting Primary care.Participants Baseline data from general practitioner practices and interviews with individuals from Clinical Research Networks (CRNs) in England who helped recruit practices and Clinical Commission Groups (CCGs) who collected outcome data.Intervention The intervention included: (1) explicit elicitation of parental concerns, (2) a prognostic algorithm to identify children at low risk of hospitalisation and (3) provision of a printout for carers including safety-netting advice.Coprimary outcomes For 0–9 years old—(1) Dispensing data for amoxicillin and macrolide antibiotics and (2) hospital admission rate for RTI.Results We recruited 294 of the intended 310 practices (95%) representing 336 496 registered 0–9 years old (5% of all 0–9 years old children). …”
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