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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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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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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Combined use of respiratory multiplex PCR and procalcitonin to reduce antibiotic exposure in sickle-cell adult patients with acute chest syndrome (The ANTIBIO-STA study): a randomi... by Alexandre Sabaté-Elabbadi, Armand Mekontso-Dessap, François Lionnet, Aline Santin, Charlotte Verdet, Paul-Louis Woerther, Julien Lopinto, Matthieu Turpin, Alexandra Rousseau, Romane Lacoste-Badie, Keyvan Razazi, Guillaume Voiriot, Muriel Fartoukh

“…Interpretation: As compared with conventional tests, an enlarged respiratory panel mPCR combined with a PCT-guided algorithm did not reduce antibiotic exposure at D28 in adults with ACS. …”
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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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A novel way to use cross-validation to measure connectivity by machine learning allows epilepsy surgery outcome prediction by Karla Ivankovic, Alessandro Principe, Justo Montoya-Gálvez, Linus Manubens-Gil, Riccardo Zucca, Pablo Villoslada, Mara Dierssen, Rodrigo Rocamora

“…The classifier generalization performance estimated by cross-validation was employed as a continuous measure of connectivity change. The algorithm generated a network by iteratively adding nodes until the connectivity change magnitude decreased. …”
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Modeling the determinants of attrition in a two-stage epilepsy prevalence survey in Nairobi using machine learning by Daniel M. Mwanga, Isaac C. Kipchirchir, George O. Muhua, Charles R. Newton, Damazo T. Kadengye, Abankwah Junior, Albert Akpalu, Arjune Sen, Bruno Mmbando, Charles R. Newton, Cynthia Sottie, Dan Bhwana, Daniel Mtai Mwanga, Damazo T. Kadengye, Daniel Nana Yaw, David McDaid, Dorcas Muli, Emmanuel Darkwa, Frederick Murunga Wekesah, Gershim Asiki, Gergana Manolova, Guillaume Pages, Helen Cross, Henrika Kimambo, Isolide S. Massawe, Josemir W. Sander, Mary Bitta, Mercy Atieno, Neerja Chowdhary, Patrick Adjei, Peter O. Otieno, Ryan Wagner, Richard Walker, Sabina Asiamah, Samuel Iddi, Simone Grassi, Sloan Mahone, Sonia Vallentin, Stella Waruingi, Symon Kariuki, Tarun Dua, Thomas Kwasa, Timothy Denison, Tony Godi, Vivian Mushi, William Matuja

“…These findings will inform development of a web-based algorithm to predict attrition risk and aid in targeted follow-up efforts in similar studies.…”
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Sustainability index analysis of the black soldier fly (Hermetia illucens) cultivation from food waste substrate by A.D. Santoso, T. Handayani, R.A. Nugroho, A.I. Yanuar, N. Nadirah, E.S. Rohaeni, E. Widjaja, M.A.M. Oktaufik, U. Ayuningtyas, Y.P. Erlambang, R. Herdioso, M.N. Rofiq, R. Hutapea, A.L. Sihombing, B. Rustianto, I.M.A.D Susila, D. Irawan, D. Iskandar, S. Indrijarso, G.D. Widiarta

“…Sustainability status and leverage attributes were analyzed by Monte Carlo analysis, and alternating least-squares algorithm.FINDINGS: Sustainability index for larvae of black soldier fly production was 89.69 percent. …”
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Stratification system with dual human endogenous retroviruses for predicting immunotherapy efficacy in metastatic clear-cell renal cell carcinoma by Li Xu, Stephane Oudard, Catherine Sautes-Fridman, Xiaoping Su, Gabriel G. Malouf, Virginie Verkarre, Salma Kotti, Fangrong Yan, Yann-Alexandre Vano, Wolf Herve Fridman, Cheng-Ming Sun, Xiaofan Lu, Wenxuan Cheng

“…ERV expression was quantified using the ERVmap algorithm from RNA sequencing data. Our primary objective was to correlate ERV expression with progression-free survival, with overall survival and time-to-second-treatment survival as secondary endpoints. …”
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Genome-wide identification and expression analysis of phytochrome gene family in Aikang58 wheat (Triticum aestivum L.) by Zhu Yang, Zhu Yang, Wenjie Kan, Wenjie Kan, Ziqi Wang, Caiguo Tang, Yuan Cheng, Yuan Cheng, Dacheng Wang, Dacheng Wang, Yameng Gao, Lifang Wu, Lifang Wu

“…Additionally, the least absolute shrinkage and selection operator (LASSO) regression algorithm in machine learning was used to screen transcription factors such as bHLH, WRKY, and MYB that influenced the expression of TaAkPHY genes. …”
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Mucocutaneous Adverse Events in Patients With Cancer Treated with the Highly Selective RET Kinase Inhibitor Selpercatinib (LOXO-292) by Rachel E. Reingold, MD, Rose Parisi, MD, MBA, Guilherme Harada, MD, Andrea P. Moy, MD, George Dranitsaris, PhD, Jasmine H. Francis, MD, Julia Canestraro, OD, FAAO, Julia A. Lester, MPH, Lauren A. Kaplanis, RN, Dazhi Liu, PharmD, BCOP, Mario E. Lacouture, MD, Alexander Drilon, MD

“…There were 18 (14%) MAE-related therapy interruptions, including the following: three (2%) rechallenged with dose maintained, 10 (7%) with a 50% dose reduction, 5 (4%) with a 25% dose reduction, and no drug discontinuations. A treatment algorithm was created for the most common MAEs: xerostomia managed with saliva and lubricants; mucositis with steroid rinses; rashes with topical steroids with or without topical ammonium lactate; periorbital edema with cold or caffeine compresses; and xerosis and pruritus with emollients. …”
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Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net by Kun Wang, Yong Han, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang

“…Conclusion: The deep learning DCU-Net algorithm model can improve the performance of tumor CT image segmentation, and the reconstructed fine model can better reflect the actual situation of individual tumors; the MR system constructed based on this model enhances clinicians’ understanding of tumor morphology and spatial relationships. …”
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Earth–lunar thermal effect on the temperature stability of TianQin telescope and the suppression methods by Wenbo Chang, Yuxiang Wang, Wenhai Tan, Guanhua Wu, Houyuan Chen, Wei Li, Zizheng Li, Fan Zhu, Zhu Li, Xuefeng Zhang, Shanqing Yang

“…In this article, an innovative algorithm is proposed for accelerating the Gebhart factors calculation, and the detailed evaluation from the direct earth and lunar heat flux to the telescope’s temperature stability has been accomplished. …”
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Artificial intelligence-enhanced comprehensive assessment of the aortic valve stenosis continuum in echocardiographyResearch in context by Jiesuck Park, Jiyeon Kim, Jaeik Jeon, Yeonyee E. Yoon, Yeonggul Jang, Hyunseok Jeong, Youngtaek Hong, Seung-Ah Lee, Hong-Mi Choi, In-Chang Hwang, Goo-Yeong Cho, Hyuk-Jae Chang

“…Methods: We created a dual-pathway AI system for AS evaluation using a nationwide echocardiographic dataset (developmental dataset, n = 8427): 1) a deep learning (DL)-based AS continuum assessment algorithm using limited 2D TTE videos, and 2) automating conventional AS evaluation. …”
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Role of Virtual iMRI in Glioblastoma Surgery: Advantages, Limitations, and Correlation with iCT and Brain Shift by Erica Grasso, Francesco Certo, Mario Ganau, Giulio Bonomo, Giuseppa Fiumanò, Giovanni Buscema, Andrea Maugeri, Antonella Agodi, Giuseppe M. V. Barbagallo

“…<b>Objective</b>: To evaluate the safety and reliability of the EIF algorithm (Virtual iMRI Cranial 4.5, Brainlab AG, Munich Germany, for the identification of residual tumour in glioblastoma surgery. …”
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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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Development and Validation of a Nomogram for Predicting Long-Term Net Adverse Clinical Events in High Bleeding Risk Patients Undergoing Percutaneous Coronary Intervention by Junyan Zhang, Zhongxiu Chen, Ran Liu, Yuxiao Li, Hongsen Zhao, Yanning Li, Minggang Zhou, Hua Wang, Chen Li, Li Rao, Yong He

“…The least absolute shrinkage and selection operator (LASSO) regression algorithm was employed to select variables in the training set. …”
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