Integrated profiling of metaplastic breast cancer identifies putative master regulators of intratumoral heterogeneity by Yufan Feng, Albert Xiong, Onkar Mulay, Anna Sokolova, Malcolm Lim, Benjamin Van Haeringen, Natasha McGuire, Xavier de Luca, Peter T. Simpson, Quan Nguyen, Sunil R. Lakhani, Amy E. McCart Reed

“…We have also identified a series of master transcription factors likely to regulate these processes, and are significantly associated with metaplastic-like clinical features. …”
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Cellular and Molecular Atlas of Peripheral Blood Mononuclear Cells from a Pregnant Woman After Recovery from COVID-19 by Lili Du, Yingyu Liang, Xiaoyi Wang, Lijun Huang, Xingfei Pan, Jingsi Chen, Dunjin Chen, Dandan Shi

“…Our findings suggest that CD16-positive monocytes and MAIT cells likely play crucial roles in the maternal immune response against severe acute respiratory syndrome coronavirus 2 infection. …”
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Cholesterol Sulfate in Biological Membranes: A Biophysical Study in Cholesterol-Poor and Cholesterol-Rich Biomimetic Models by Ana Reis, Maria João Sarmento, Mariana Ferreira, Paula Gameiro, Victor de Freitas

“…In this study, we investigate the effect of increasing the content of CholS on the biophysical properties in cholesterol-poor and cholesterol-rich biomimetic models. Data obtained show that increasing amounts of CholS result in a slight increase in anisotropy, evidence for decreased membrane fluidity at higher CholS content (10 mol%) in cholesterol-poor systems but only negligible in rigidified epithelial-like cholesterol-rich systems. …”
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Artificial Intelligence (AI) and Drug-Induced and Idiosyncratic Cytopenia: The Role of AI in Prevention, Prediction, and Patient Participation by Emmanuel Andrès, Amir El Hassani Hajjam, Frédéric Maloisel, Maria Belén Alonso-Ortiz, Manuel Méndez-Bailón, Thierry Lavigne, Xavier Jannot, Noel Lorenzo-Villalba

“…However, advancements in artificial intelligence (AI) are offering new opportunities to address these challenges. With its ability to process vast amounts of clinical, genomic, and pharmacovigilance data, AI can identify patterns and risk factors that may be missed by traditional methods. …”
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Applied Artificial Intelligence in Materials Science and Material Design by Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza

“…AI not only enhances the predictive modeling of material properties but also streamlines data analysis in techniques like X‐Ray diffraction, Raman spectroscopy, scanning probe microscopy, and electron microscopy. …”
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A compilation pipeline for wildlife tracking datasets collected from ground-based and satellite-based telemetry transmission devices by Gregory T. Wann, Ashley L. Whipple, Michael S. O'Donnell, Cameron L. Aldridge

“…Our error checks flagged 3.9 % of locations as likely errors, predominantly collected from satellite-based telemetry transmissions. …”
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Experimental Study on Concentration and Size Distribution Characteristics of Particulate Matter in Cold and Hot Rolling by Yanpeng Wu, Meitong Jin, Xiaoyu Li, Junkai Tian, Bin Yang, Junliang Liu, Shujun Zhou, Faming Wang

“…This paper highlights the dynamic variations and spatial distribution patterns of particulate matter during rolling processes, providing key data for understanding particulate matter behavior in industrial environments and informing targeted pollution control strategies.…”
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Evidence for habitual and goal-directed behavior following devaluation of cocaine: a multifaceted interpretation of relapse. by David H Root, Anthony T Fabbricatore, David J Barker, Sisi Ma, Anthony P Pawlak, Mark O West

“…These data indicate that abstinent cue-induced responding is multifaceted, dynamically engendering habitual or goal-directed behavior. …”
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Social Media Network Analysis of Academic Urologists’ Interaction Within Twitter Microblogging Environment by Spencer H. Bell, Clara Sun, Emma Helstrom, Justin M. Dubin, Ilaha Isali, Kirtishri Mishra, Andrew Gianakopoulos, Seyed Behzad Jazayeri, Mohit Sindhani, Lee Ponsky, Alexander Kutikov, Casey Seideman, Andres Correa, Diana Magee, Laura Bukavina

“…MethodsUsing Twitter application programming interface of available data, 94000 specific tweets were extracted for the analysis through the Twitter Developer Program. …”
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Do repeated vaccinations affect the incidence of coronavirus infection? by K. K. Tikhomirova, S. M. Kharit, O. V. Goleva

“…Coronavirus infection caused by the SARS-CoV-2 virus is becoming one of the seasonal respiratory infections, which requires a decision on the continuation of vaccination for certain groups of people.The purpose: To study the relationship between the clinical and immunological efficacy of vaccination and revaccination against COVID-19 in people of different ages, health conditions and occupational risk.Research methods: Clinical observation of 258 adults who were vaccinated and revaccinated, as well as those with hybrid immunity, in a catamnesis for 2 years after vaccination with an assessment of the frequency and severity of confirmed coronavirus infection; laboratory examination of antibody titers (IgG to RBD fragment of S – protein) in blood serum over time by enzyme immunoassay; statistical data processing.Results: The average antibody levels after vaccination were 353.1±35.9 BAU/ml, after the first revaccination 481.6±30.1 BAU/ml, and 2471.1±811.9 BAU/ml after the second revaccination (p<0.01 Student’s criterion). …”
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Social Media Network Analysis of Academic Urologists’ Interaction Within Twitter Microblogging Environment by Spencer H. Bell, Clara Sun, Emma Helstrom, Justin M. Dubin, Ilaha Isali, Kirtishri Mishra, Andrew Gianakopoulos, Seyed Behzad Jazayeri, Mohit Sindhani, Lee Ponsky, Alexander Kutikov, Casey Seideman, Andres Correa, Diana Magee, Laura Bukavina

“…ObjectiveTo characterize academic urology Twitter presence and interaction by subspecialty designation.MethodsUsing Twitter application programming interface of available data, 94000 specific tweets were extracted for the analysis through the Twitter Developer Program. …”
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Asthenia as a pressing health issue FOR women with non-psychotic mental disorders: age perspective by M. F. Belokrylova, N. P. Garganeeva, V. B. Nikitina, E. M. Epanchintseva

“…Patients with complaints of constant fatigue weresignificantly more likely to report headache, irritability, low mood, pessimistic thoughts, drowsiness, and asthma attacks. …”
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Features of comorbid pathology spectrum and age structure of oxygen-dependent patients with severe coronavirus disease 2019 (COVID-19) depending on outcomes of the disease by O. V. Riabokon, V. V. Cherkaskyi, T. Ye. Onishchenkо, Yu. Yu. Riabokon

“…The patients were divided into groups: I – 70 patients with recovery; II – 15 patients in whom the disease was fatal. Statistical data processing was performed in the program Statistica for Windows 13 (StatSoft Inc., No. …”
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Resolving Visible Emission Lines in Hydrogen Diffusion Flames by Muyi Pan, Xuanqi Liu, Yufeng Lai, Yuchen Zhang, Yang Zhang

“…This paper reports precisely instrumented spectroscopic imaging tests, calibration, and data processing in order to resolve the spectral lines in the red colour zone (580–700 nm). …”
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Students’ and teachers’ attitudes towards the use of tools with generative artificial intelligence at the university by K. I. Buyakova, Ya. A. Dmitriev, A. S. Ivanova, A. V. Feshchenko, K. I. Yakovleva

“…The results of the research showed that students are more likely than teachers to have a positive attitude towards AI tools. …”
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In-field monitoring of ground-nesting insect aggregations using a scaleable multi-camera system by Daniela Calvus, Karoline Wueppenhorst, Ralf Schlösser, Felix Klaus, Ulrich Schwanecke, Henri Greil

“…By only storing imagery if the detected motion in front of the camera is likely originated from an insect, it reduces post-processing work and required data storage capacity. …”
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Identity development and adaptation in adolescents with genetic conditions: a qualitatively oriented mixed-methods study to develop strategies for optimizing clinical genetics serv... by Tasha Wainstein, Cyrus Boelman, Connie Ens, William T. Gibson, Kevin Gregory-Evans, Olubayo U. Kolawole, Sheila K. Marshall, Kathryn Selby, GenCOUNSEL Study, Alison M. Elliott, Jehannine Austin

“…Movement across these processes took place frequently because of contextual factors like setting and disability type. …”
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Machine learning for refining interpretation of magnetic resonance imaging scans in the management of multiple sclerosis: a narrative review by Adam C. Szekely-Kohn, Marco Castellani, Daniel M. Espino, Luca Baronti, Zubair Ahmed, William G. K. Manifold, Michael Douglas

“…Computational techniques like machine learning (ML) have started to be used to understand MS. …”
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Reducing sewing defects to increase productivity in the apparel industry of Bangladesh by integrating lean methodology by Md. Limonur Lingkon, Pronab Saha, Abdulla Al Manzid, Md. Hasan, Showra Mahalanobish

“…To continuously evaluate and improve the sewing process, the 5S method is also employed. Tools like cause-effect diagrams and Pareto charts were used to identify the defect correctly. …”
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Development of a Lentiviral Reporter System for In Vitro Reprogramming of Astrocytes to Neuronal Precursors by Anna Schnaubelt, Guoli Zheng, Maryam Hatami, Johannes Tödt, Hao Wang, Thomas Skutella, Andreas Unterberg, Klaus Zweckberger, Alexander Younsi

“…Importantly, the study was not designed to quantify reprogramming efficiency or demonstrate full astrocyte-to-neuron conversion but rather to establish and evaluate a traceable reporter system. Our data suggest that OSK-mediated reprogramming in this in vitro model can initiate conversion of astrocytes to neuronal precursor-like cells, although the process is complex and incomplete within the one-week timeframe. …”
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