Design Features of Antenna Arrays of Automotive Radars Based on Transmitting and Receiving Multi-Element Modules by A. A. Kuzin, A. V. Miakinkov, S. A. Shabalin

“…Antenna arrays (AA) are the most common type of radar antennas. The coefficient of mutual coupling between adjacent antenna channels has a significant effect on the formed radiation pattern (RP) of an AA. …”
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Experimental Study on Physical-Mechanical Properties of Expansive Soil Improved by Multiple Admixtures by Binhui Ma, Kai Cai, Xing Zeng, Zhuo Li, Zhiyong Hu, Qiunan Chen, Chengbin He, Bingchu Chen, Xiaocheng Huang

“…Using coal gangue, fly ash, and other solid waste to treat expansive soil has gradually become a new way of energy saving and environmental protection. Most of the existing studies focus on using one or two kinds of admixtures to improve expansive soil, but there are few studies on improving expansive soil with multiple admixtures. …”
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Self-attention Deep Field-embedded Factorization Machine for Click-through Rate Prediction by Guangli LI, Yiyuan YE, Guangxin XU, Hongbin ZHANG, Guangting WU, Jingqin LYU

“…Notably, the explicit high-order feature interaction layer plays the most important role in Self-AtDFEFM. Conclusions Each module of Self-AtDFEFM is plug-and-play, that is, the Self-AtDFEFM is easier to build and deploy. …”
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Cardiac Involvement in Patients with MELAS-Related mtDNA 3243A>G Variant by Aino-Maija Vuorinen, Lauri Lehmonen, Mari Auranen, Sini Weckström, Sari Kivistö, Miia Holmström, Tiina Heliö

“…Mitochondrial myopathy, encephalopathy, lactic acidosis, and stroke-like episodes (MELAS) syndrome is a rare disease with variable clinical manifestations. MELAS is most often caused by the human mitochondrial DNA (mtDNA) m.3243A>G variant. …”
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Deep Learning Models for Predicting the Recurrence of Idiopathic Granulomatous Mastitis by Li L, Yang W, Jia H

“…Feature importance analysis indicated that variables such as smoking, surgery and a history of oral contraceptive use were most important in predicting recurrence.Conclusion: This study demonstrates that, compared to logistic regression and random forest models, neural networks have superior performance in predicting the recurrence of granulomatous mastitis. …”
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The role of oxidative stress and inflammatory response in the pathogenesis of mastitis in dairy cows by Romana Turk, Matea Koledić, Nino Maćešić, Miroslav Benić, Vesna Dobranić, Dražen Đuričić, Luka Cvetnić, Marko Samardžija

“…Mastitis is one of the most frequent diseases of dairy cows throughout the world, therefore it causes the greatest economic losses in dairy cattle industry. …”
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Red pulp macrophages clear parasites, while marginal metallophilic and marginal zone macrophages support CD4+ T cell activation during Plasmodium yoelii infection by Julia Falkenstein, Anne Ninnemann, Matthias Hose, Abdelrahman Elwy, Karl S. Lang, Kai Matuschewski, Jan Buer, Astrid M. Westendorf, Wiebke Hansen

“…Malaria, caused by the parasite Plasmodium spp., remains the most prevalent and dangerous vector-borne infectious disease worldwide. …”
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A new Al80Mg10Si5Cu5 multicomponent aluminium alloy: Microstructure, mechanical, and physical properties by Ester Villanueva, Iban Vicario, Ignacio Crespo, Teresa Guraya, Iñaki Hurtado, Joseba Albizuri

“…Tested at both room temperature (RT), and at 200 °C, a range where most aluminium alloys degrade, it demonstrated remarkable thermal stability, maintaining its characteristics. …”
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Action mechanism of a novel agrichemical quinofumelin against Fusarium graminearum by Qian Xiu, Xiaoru Yin, Yuanyuan Chen, Ziyang Zhang, Yushuai Mao, Tianshi Wang, Jie Zhang, Mingguo Zhou, Yabing Duan

“…Therefore, developing fungicides with novel action mechanisms is the most effective measure to manage resistance. Quinofumelin, a novel quinoline fungicide, exhibits exceptional antifungal activity against phytopathogens. …”
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Phase II study of transcatheter arterial chemoembolization (TACE) combined with apatinib for advanced perihilar cholangiocarcinoma by Hao Li, Pengfei Chen, Mengfan Zhang, Zhengfeng Wang, Yanbang Lian, Baohong Wen, Jianzhuang Ren, Xinwei Han, Bingjie Li, Xuhua Duan

“…The treatment-related adverse events (AEs) in this study were mild, mainly Grade 1 or 2. Among the most common AEs were bone marrow suppression and hand-foot syndrome, while no patient had Grade 4 AE. …”
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Radiação solar estimada com base na temperatura do ar para três regiões de Minas Gerais Estimation of solar radiation by air temperature models for three regions of Minas Gerais... by Cláudio R. da Silva, Valdiney J. da Silva, José Alves Júnior, Hudson de P. Carvalho

“…However, given the simplicity, performance and significance, the model of Hargreaves, calibrated and with two coefficients, is the most suitable for estimating incident solar radiation.…”
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Microbiome matters: how transplantation methods and donor origins shape the successful restoration of the seagrass Posidonia oceanica by Arnaud Boulenger, Tânia Aires, Aschwin H. Engelen, Gerard Muyzer, Michel Marengo, Sylvie Gobert

“…Iron staples promoted microbial assemblages most similar to natural meadows, likely due to direct sediment contact enhancing recruitment of key functional bacterial orders such as Chromatiales and Desulfobacterales. …”
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Prevalence of fluoroquinolone resistance-associated mutations in Mycoplasma genitalium among clients of two sexual health centres in the Netherlands: a cross-sectional study by Henry J C de Vries, Sylvia M Bruisten, David Hetem, Clarissa Vergunst, Helene C A Zondag, Alje P van Dam, Maarten F Schim van der Loeff, Joyce F Braam

“…Possible risk factors for the presence of QRAM were investigated.Results We found QRAM in 58 of 669 (9%) clients with an MG infection: 36 of 375 (10%) in the study population of men with urethritis and 22 of 294 (7%) in the study population of other clients (including both men and women; p=0.334). Most prevalent mutations in the parC gene were S83I and D87N, occurring in 31 of 60 (52%) and 20 of 60 (33%) samples, respectively. …”
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Arctic Greening Drives Changes in the Diet and Gut Microbiome of a Large Herbivore With Consequences for Body Mass by Stefaniya Kamenova, Steve D. Albon, Leif Egil Loe, R. Justin Irvine, Rolf Langvatn, Galina Gusarova, Eric Jacques deMuinck, Pål Trosvik

“…Autumn body mass, a strong proxy of fitness in Svalbard reindeer, was significantly, positively correlated with Salix RRA, most pronounced in females that had reproduced, and by that depleted body reserves. …”
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Vitamin D Deficiency as a Predictive Factor of Transient Hypocalcemia after Total Thyroidectomy by A. Bove, C. Dei Rocini, R. M. Di Renzo, M. Farrukh, G. Palone, S. Chiarini, T. Staniscia

“…Total thyroidectomy (TT) is recommended in the treatment of malignant and benignant thyroid diseases, and, to date, transient hypocalcemia is the most frequent complication after the procedure. We prospectively evaluated the role of vitamin D deficiency as a predictor of postoperative hypocalcemia. …”
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Automatic Selection of Machine Learning Models for Armed People Identification by Alonso Javier Amado-Garfias, Santiago Enrique Conant-Pablos, Jose Carlos Ortiz-Bayliss, Hugo Terashima-Marin

“…Both APD4F types outperformed most of the independent use of all six APDs. A multilayer perceptron-based APD4F, which combines an MLP-APD, a NB-APD, and a LR-APD, presented the best performance, achieving an accuracy of 95.84%, a recall of 99.28% and an F1 score of 96.07%.…”
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Algorithm for Selecting a Base Tractor Model to Form a Tractor Train by M. T. Toshboltaev, B. A. Kholikov

“…Therefore, the task of a rational choice of the base tractor type, taking into account the most complete utilization of the capacity of existing trailers and engine power, has become rather relevant. …”
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Application of robotic technology in surgery (literature review) by D. G. Parfeev, A. M. Morozov, K. I. Khorak, P. G. Kogan, S. V. Zhukov, A. D. Aminova, V. A. Zhezheleva

“…Robotic surgery is one of the most promising and fastest growing fields in the world. …”
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Dynamical patterns of EEG connectivity unveil Parkinson’s disease progression: insights from machine learning analysis by Caroline L Alves, Loriz Francisco Sallum, Francisco Aparecido Rodrigues, Thaise G L de O Toutain, Patrícia Maria de Carvalho Aguiar, Michael Moeckel

“…Interpretability was achieved using Shapley Additive Explanations (PD) methodology, and the most discriminative neural connections were statistically validated using the Wilcoxon test with Bonferroni correction. …”
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Identifying common disease trajectories of Alzheimer’s disease with electronic health recordsResearch in context by Mingzhou Fu, Sriram Sankararaman, Bogdan Pasaniuc, Keith Vossel, Timothy S. Chang

“…Although recent research has identified multiple AD risk factors, most studies examine isolated comorbidities rather than complex, sequential progressions. …”
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