A Novel Synchronization-Based Approach for Functional Connectivity Analysis by Angela Lombardi, Sabina Tangaro, Roberto Bellotti, Alessandro Bertolino, Giuseppe Blasi, Giulio Pergola, Paolo Taurisano, Cataldo Guaragnella

“…A synchronization metric is extracted from the CRP to assess the coupling behavior of the time series. Since the functional communities of a healthy population are expected to be highly consistent for the same task, we defined functional networks of task-related fMRI data of a cohort of healthy subjects and applied a modularity algorithm in order to determine the community structures of the networks. …”
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Anti-Tetanus Vaccination Is Associated with Reduced Occurrence and Slower Progression of Parkinson’s Disease—A Retrospective Study by Ariel Israel, Eli Magen, Eytan Ruppin, Eugene Merzon, Shlomo Vinker, Nir Giladi

“…Furthermore, a time-dependent relationship was identified between the duration since vaccination and both the rate of PD onset and disease progression. …”
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Ways to improve the efficiency of automatic control systems of pressing current collectors for railway service of high speeds by A. S. GOLUBKOV, O. A. SIDOROV, S. N. SMERDIN

“…Analysis of the characteristics of the transfer functions of the regulator shows that the application of the PI controller algorithm is effective for stabilizing the contact pressure. …”
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UAV Trajectory Control and Power Optimization for Low-Latency C-V2X Communications in a Federated Learning Environment by Xavier Fernando, Abhishek Gupta

“…The weighted total energy consumption of the proposed federated learning algorithm decreases by 10–15% compared with convex optimization, heuristic, and meta-heuristic algorithms.…”
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Macromicroscopic Method for Vitreous Body Anatomy Studying by N. M. Kislitsyna, A. V. Shatskikh, S. M. Dibirova, D. M. Sultanova, M. P. Veselkova, S. V. Novikov

“…In the literature there are attempts to describe the anatomy of the vitreous body, since the II century. The most relevant works are the studies of J. …”
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Comparison of three-dimensional tooth movements in virtual setups using different software packages for clear aligner therapy by Farah Y. Eid, Waddah Sabouni, Abbas Zaher, Mostafa A. Tageldin, Dina Elfouly

“…This deviation arises since every software operates using a distinct algorithm, with a different segmentation method and rotation center for the moving teeth.…”
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Image-based 3D active sample stabilization on the nanometer scale for optical microscopy by Jakob Vorlaufer, Nikolai Semenov, Caroline Kreuzinger, Manjunath G. Javoor, Bettina Zens, Nathalie Agudelo Dueñas, Mojtaba R. Tavakoli, Marek Šuplata, Wiebke Jahr, Julia Lyudchik, Andreas Wartak, Florian K.M. Schur, Johann G. Danzl

“…Super-resolution microscopy often entails long acquisition times of minutes to hours. Since drifts during the acquisition adversely affect data quality, active sample stabilization is commonly used for some of these techniques to reach their full potential. …”
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Scanning SQUID microscope system for geological samples: further system improvements and development of post-processing software by Hirokuni Oda, Jun Kawai, Miki Kawabata, Naoto Fukuyo, Akihiro Tanimito, Isao Yosano, Chisato Anai

“…Various drift correction algorithms provide flexibility to the operator to deal with the situation including a narrow marginal area or a dirty marginal area contaminated with magnetic materials. …”
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Application of a Texture Appearance Model for Segmentation of Lung Nodules on Computed Tomography of the Chest by F. Shariaty, V. A. Pavlov, S. V. Zavjalov, M. Orooji, T. M. Pervunina

“…The results of applying the described TAM method to normal and noisy CT images are presented and compared to those obtained using the Region Growing and Active Contour algorithms, as well as the combination of Active Contour and Watershed algorithms. …”
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Body mass index as the main predictor for length of stay in COVID-19 patients with mild and moderate symptoms: a cross-sectional study in COVID-19 emergency hospital in Indonesia by Siti Rahayu Nadhiroh, Anisa Lailatul Fitria, Armedy Ronny Hasugian, Erwin Astha Triyono, Nono Tri Nugroho, Alfadhila Khairil Sinatrya, Hazreen B Abdul Majid

“…Introduction: COVID-19 emerged as a novel global health crisis. While it has since been downgraded from its status as a public health emergency of international concern, the virus persists as a global health challenge. …”
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Loop-mediated isothermal amplification assays for the detection of antimicrobial resistance elements in Vibrio cholera by Daniel Antonio Negrón, Shipra Trivedi, Nicholas Tolli, David Ashford, Gabrielle Melton, Stephanie Guertin, Katharine Jennings, Bryan D. Necciai, Shanmuga Sozhamannan, Bradley W. Abramson

“…Methods We developed an algorithm for the in silico design and evaluation of LAMP assays within the open-source PCR Signature Erosion Tool (PSET) and a computer vision application for the quantitative analysis of colorimetric outputs. …”
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Cross-Project Defect Prediction Using Transfer Learning with Long Short-Term Memory Networks by Hongwei Tao, Lianyou Fu, Qiaoling Cao, Xiaoxu Niu, Haoran Chen, Songtao Shang, Yang Xian

“…Transfer semantic features are extracted by adding a transfer learning algorithm to the long short-term memory (LSTM) network. …”
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The institution of digital rights in Russian civil law by E. A. Kirillova, T. E. Zulfugarzade, S. E. Metelev

“…This topic is relevant since the definition of digital rights causes numerous discussions and disputes. …”
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Nonlinear main components of the cytokine profile in children with community-acquired pneumonia by N. V. Iziurova, D. Yu. Nokhrin, A. Yu. Savochkina, A. N. Uzunova

“…Quantitative determination of cytokines is helpful in assessing immune status and adjusting therapy for various inflammatory diseases, such as sepsis and pneumonia. Since community-acquired pneumonia remains a common cause of childhood morbidity and mortality. …”
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Relationship between very low low-density lipoprotein cholesterol concentrations not due to statin therapy and risk of type 2 diabetes: A US-based cross-sectional observational stu... by QiPing Feng, Wei-Qi Wei, Cecilia P Chung, Rebecca T Levinson, Alexandra C Sundermann, Jonathan D Mosley, Lisa Bastarache, Jane F Ferguson, Nancy J Cox, Dan M Roden, Joshua C Denny, MacRae F Linton, Digna R Velez Edwards, C Michael Stein

“…In the validation cohort (N = 33,039 after applying the T2DM algorithm to identify cases and controls), the risk of T2DM was increased in the very low compared to normal LDL-C group (odds ratio [OR] 2.06, 95% CI 1.80-2.37; P < 2 × 10-16). …”
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SABO-ELM model for remaining life prediction of lithium-ion batteries under multiple health factors by Jiabo LI, Zhonglin SUN, Di TIAN, Zhixuan WANG

“…Using the subtraction-average-based optimization (SABO) method, a novel RUL prediction method is proposed. The SABO algorithm optimizes the weights and bias thresholds of the ELM model, which effectively reduces the risk of local optima and improves its predictive performance and stability. …”
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Desenvolvimento de um programa computacional para implantação econômica de lavouras canavieiras Development of a computer program for economical implantation of sugarcane plantatio... by Tadeu A. Marques, Gil E. Serra, Patrícia A. A. Marques

“…500000027058</A>".<br>An algorithm was developed for conventional implantation of sugarcane crap. …”
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Right-to-left-shunts in patients scheduled for neurosurgical intervention in semi-sitting position – a literature review based on two case scenarios by Marina Nikolic, C. Eisner, J. O. Neumann, D. Haux, S. M. Krieg, M. O. Wielpütz, M. A. Weigand, U. Tochtermann, Dania Fischer

“…Depending on the surgical circumstances a semi-sitting positioning of patients presenting with an intracardiac right-to-left-shunt, e.g. a PFO, can be feasible in individual cases if there is an implemented therapeutic algorithm to immediately terminate significant venous air entry. …”
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An early warning system based on machine learning detects huge forest loss in Ukraine during the war by Roberto Cazzolla Gatti, Rocìo Beatriz Cortès Lobos, Michele Torresani, Duccio Rocchini

“…We employed Random Forest, a supervised machine learning classification algorithm, in conjunction with high-quality satellite imagery, to quantify the forest loss in Ukraine during the war, between 2022 and 2023. …”
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A diagnostic model for polycystic ovary syndrome based on machine learning by Cheng Tong, Yue Wu, Zhenchao Zhuang, Ying Yu

“…The acquired data were screened for variables, a classification model based on a machine learning algorithm was constructed, and the constructed model was evaluated and validated for diagnostic efficacy. …”
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