bluuebunny/crossref_metadata_2025_split huggingface dataset:
CDK4 inactivation inhibits apoptosis via mitochondria-ER contact remodeling in triple-negative breast cancer
Authors: Ziegler Dorian V. , Parashar Kanishka , Leal-Esteban Lucia , López-Alcalá Jaime , Castro Wilson , Zanou Nadège , Martinez-Carreres Laia , Huber Katharina , Berney Xavier Pascal , Malagón María M. , Roger Catherine , Berger Marie-Agnès , Gouriou Yves , Paone Giulia , Gallart-Ayala Hector , Sflomos George , Ronchi Carlos , Ivanisevic Julijana , Brisken Cathrin , Rieusset Jennifer , Irving Melita , Fajas Lluis 
Published: January 2025

AbstractThe energetic demands of proliferating cells during tumorigenesis require close coordination between the cell cycle and metabolism. While CDK4 is known for its role in cell proliferation, its metabolic function in cancer, particularly in triple-negative breast cancer (TNBC), remains unclear. Our study, using genetic and pharmacological approaches, reveals that CDK4 inactivation only modestly impacts TNBC cell proliferation and tumor formation. Notably, CDK4 depletion or long-term CDK4/6 inhibition confers resistance to apoptosis in TNBC cells. Mechanistically, CDK4 enhances mitochondria-endoplasmic reticulum contact (MERCs) formation, promoting mitochondrial fission and ER-mitochondrial calcium signaling, which are crucial for TNBC metabolic flexibility. Phosphoproteomic analysis identified CDK4’s role in regulating PKA activity at MERCs. In this work, we highlight CDK4’s role in mitochondrial apoptosis inhibition and suggest that targeting MERCs-associated metabolic shifts could enhance TNBC therapy.
Integrated healthy lifestyle even in late-life mitigates cognitive decline risk across varied genetic susceptibility
Authors: Wang Jun , Chen Chen , Zhou Jinhui , Xu Zinan , Xu Lanjing , Li Xinwei , Zhong Zhuchun , Lv Yuebin , Shi Xiaoming 
Published: January 2025

AbstractIt remains unclear whether the benefits of adhering to a healthy lifestyle outweigh the effects of high genetic risk on cognitive decline. We examined the association of combined lifestyle factors and genetic risk with changes in cognitive function and six specific dimensions of cognition among older adults from the Chinese Longitudinal Healthy Longevity Survey (1998–2018, n = 18,811, a subset of 6301 participants with genetic information). Compared to participants with an unfavorable lifestyle, those with a favorable lifestyle showed a 46.81% slower rate of cognitive decline, with similar results across most cognitive domains. High genetic risk was associated with a 12.5% faster rate of cognitive decline. Individuals with a high genetic risk and a favorable lifestyle have slower cognitive decline than those with a low genetic risk and an unfavorable lifestyle. These data suggest that the benefits of a favorable lifestyle outweigh genetic factors, and therefore that adhering to a favorable lifestyle may offset the genetic risk for accelerated cognitive decline.
Vertex model with internal dissipation enables sustained flows
Authors: Rozman Jan , Chaithanya KVS , Yeomans Julia M. , Sknepnek Rastko 
Published: January 2025

AbstractComplex tissue flows in epithelia are driven by intra- and inter-cellular processes that generate, maintain, and coordinate mechanical forces. There has been growing evidence that cell shape anisotropy, manifested as nematic order, plays an important role in this process. Here we extend an active nematic vertex model by replacing substrate friction with internal viscous dissipation, dominant in epithelia not supported by a substrate or the extracellular matrix, which are found in many early-stage embryos. When coupled to cell shape anisotropy, the internal viscous dissipation allows for long-range velocity correlations and thus enables the spontaneous emergence of flows with a large degree of spatiotemporal organisation. We demonstrate sustained flow in epithelial sheets confined to a channel, providing a link between the cell-level vertex model of tissue dynamics and continuum active nematics, whose behaviour in a channel is theoretically understood and experimentally realisable. Our findings also show a simple mechanism that could account for collective cell migration correlated over distances large compared to the cell size, as observed during morphogenesis.
The master male sex determinant Gdf6Y of the turquoise killifish arose through allelic neofunctionalization
Authors: Richter Annekatrin , Mörl Hanna , Thielemann Maria , Kleemann Markus , Geißen Raphael , Schwarz Robert , Albertz Carolin , Koch Philipp , Petzold Andreas , Kroll Torsten , Groth Marco , Hartmann Nils , Herpin Amaury , Englert Christoph 
Published: January 2025

AbstractAlthough sex determination is a fundamental process in vertebrate development, it is very plastic. Diverse genes became major sex determinants in teleost fishes. Deciphering how individual sex-determining genes orchestrate sex determination can reveal new actors in sexual development. Here, we demonstrate that the Y-chromosomal copy of the TGF-β family member gdf6 (gdf6Y) in Nothobranchius furzeri, an emerging model organism in aging research, gained the function of the male sex determinant through allelic diversification while retaining the skeletal developmental function shared with the X-chromosomal gdf6 allele (gdf6X). Concerning sex determination, gdf6Y is expressed by somatic supporting cells of the developing testes. There it induces the male sex in a germ cell-independent manner in contrast to sex determination in zebrafish and the medaka. Looking for downstream effectors of Gdf6Y, we identified besides TGF-β signaling modulators, especially the inhibitor of DNA binding genes id1/2/3, the mRNA decay activator zfp36l2 as a new GDF6 signaling target.
MDM2 functions as a timer reporting the length of mitosis
Authors: Fulcher Luke J. , Sobajima Tomoaki , Batley Caleb , Gibbs-Seymour Ian , Barr Francis A. 
Published: January 2025

Abstract
Delays in mitosis trigger p53-dependent arrest in G1 of the next cell cycle, thus preventing repeated cycles of chromosome instability and aneuploidy. Here we show that MDM2, the p53 ubiquitin ligase, is a key component of the timer mechanism triggering G1 arrest in response to prolonged mitosis. This timer function arises due to the attenuation of protein synthesis in mitosis. Because MDM2 has a short half-life and ongoing protein synthesis is therefore necessary to maintain its steady-state concentration, the amount of MDM2 gradually falls during mitosis but normally remains above a critical threshold for p53 regulation at the onset of G1. When mitosis is extended by prolonged spindle assembly checkpoint activation, the amount of MDM2 drops below this threshold, stabilizing p53. Subsequent p53-dependent p21 accumulation then channels G1 cells into a sustained cell-cycle arrest, whereas abrogation of the response in p53-deficient cells allows them to bypass this crucial defence mechanism.
Development of Fe/SiBr/Si₃N₄/silica fume nanocomposites from recycled metal waste for industrial applications
Authors: Taha Mohammed A. , Gad S. A. , Youness Rasha A. 
Published: January 2025

AbstractDue to the high cost of raw materials, this work aims to benefit from metal waste, especially iron (Fe) and silicon bronze, which results from turning workshops and recycling them to obtain nanocomposites for industrial applications. In this respect, Fe/SiBr/Si3N4/silica fume nanocomposites possessing superior mechanical, wear, and magnetic characteristics have been produced using powder metallurgy (PM) technology. Milled sample particle size, crystal size, and phase composition were investigated using X-ray diffraction (XRD) technique and transmission electron microscopy (TEM). The powders were compressed and sintered in argon to get excellent sinterability. The sintered nanocomposites’ physical, mechanical, wear, electrical, and magnetic properties were investigated. The microstructure was also examined using field emission scanning electron microscopy (FESEM). The results showed a noticeable decrease in the size of particles and crystallite size after adding reinforcements, reaching 22 nm for the sample improved with 5 vol% silica fume and 5 vol% Si3N4 (FS4). In addition, after adding reinforcements, there was a clear improvement in the microhardness, Young’s modulus, and wear rate of Fe-SiBr, reaching 58, 27.89, and 43.21% percent for the sample FS4. Adding reinforcements harms the electrical conductivity of Fe-SiBr, as it decreases to 8.64 × 106 S/m for the same previous sample. Finally, adding reinforcements slightly affects the decrease in magnetization of the nanocomposites.
Endoscopic endonasal approach for pituitary neuroendocrine tumor with septal mucosa incision tailored to tumor extension intending unilateral septal mucosa preservation
Authors: Kino Hiroyoshi , Akutsu Hiroyoshi , Tanaka Shuho , Hara Takuma , Morinaga Yusuke , Miyamoto Hidetaka , Ii Rieko , Osawa Koutarou , Ishikawa Eiichi 
Published: January 2025

AbstractCurrently, the direct endonasal approach is widely used in endoscopic endonasal surgery (EES) for pituitary neuroendocrine tumor. However, a large posterior septal perforation is inevitable. We routinely utilize a modified para/transseptal approach using the combination of a Killian and a contralateral rescue flap incision (PTSA with K-R incision). Especially, rescue flap incision is used on ipsilateral side of the tumor extension to facilitate lateral expansion of the anterior sphenoidotomy and tumor resection. One hundred eighty-nine patients underwent EES using PTSA with K-R incision in Tsukuba university hospital. Gross total resection (GTR) was achieved in 146 (77.2%) patients. Even in cases of significant lateral tumor extension (Knosp 3 or 4), GTR was achieved in 56 of 90 (62.2%) patients. Among the 168 patients with available rhinological follow-up data, postoperative anterior and posterior septal perforation occurred in six (3.6%) and 18 (10.7%) patients, respectively. Surgical intervention was required in one (0.6%) patient with anterior septal perforation. Thus, PTSA with K-R incision was effective in preserving the nasal septal mucosa on one side and gaining a sufficient surgical corridor with lateral expansion of the anterior sphenoidotomy on the other side. Our strategy may be preferable to improve maneuverability of instruments during tumor resection.
Understanding system interdependencies in sustainable paper production from residue grass biomass: Insights from fuzzy cognitive mapping
Authors: Ding Zhengqiu , Grundmann Philipp 
Published: January 2025

AbstractThis research investigates the pulp and paper industry's transition to sustainability by valorizing unused roadside and natural grasses for paper production. Large-scale production from residual grass poses multifaceted challenges, requiring collaboration across stakeholders, from biomass collection to manufacturing. To understand key drivers and barriers within this complex system, experts from various fields, including local farmers, researchers, policymakers, and industry executives were interviewed, leading to the development of a Fuzzy Cognitive Map (FCM). The analysis explores various scenarios to assess how socio-economic, technological, and political factors influence the transition to low-carbon practices. These scenarios highlight the effects of varying levels of technology development, economic conditions, and policy support on the transition's progress and outcomes. Results show that the system is highly sensitive to shifts in socio-economic and political conditions. Political interventions play a crucial role, especially during energy crises and increased public demand for sustainable solutions. Grass-based paper production is seen as a viable pathway, but challenges such as the economic feasibility of emerging technologies remain. We recommend targeted policies to improve the economic viability of grass-based products and optimize biomass allocation between energy and bio-based products, ensuring a more balanced and sustainable transition.
A Parametric study on the effects of winglet cant angle on wing aerodynamics and aeroacoustics
Authors: Vaezi Erfan , Madani S. Amirreza S. , Keshmiri Amir 
Published: January 2025

AbstractThe use of winglet devices is an efficient technique for enhancing aerodynamic performance. This study investigates the effects of winglet cant angles on both the aerodynamics and aeroacoustics of a commercial wing, comparing them to other significant parameters using a parametric analysis. A Full Factorial Design method is employed to generate a matrix of experiments, facilitating a detailed exploration of flow physics, with lift-to-drag ratio (L/D) and the integral of Acoustic Power Level (APL) as the primary representatives of aerodynamic and acoustic performance, respectively. The RANS formulation, along with the $$k{-}\epsilon$$ Realizable model and the Broadband Noise Source (BNS) model, are utilized to accurately simulate subsonic flows numerically. The study begins by examining the pressure coefficient ($$C_p$$) and APL distributions at various cant angles near the wingtip and root areas. The matrix of experiments is then analyzed to identify the most influential parameters based on the main effects of inputs and their two-way interactions. The results demonstrate that variations in winglet cant angle significantly alter the distribution of $$C_p$$ and APL along the span, particularly near the wingtip, and that cant angle strongly impacts overall performance, at times even outweighing atmospheric parameters such as pressure and temperature.
The impact of labeling automotive AI as trustworthy or reliable on user evaluation and technology acceptance
Authors: Dorsch John , Deroy Ophelia 
Published: January 2025

AbstractThis study explores whether labeling AI as either “trustworthy” or “reliable” influences user perceptions and acceptance of automotive AI technologies. Utilizing a one-way between-subjects design, the research presented online participants (N = 478) with a text presenting guidelines for either trustworthy or reliable AI, before asking them to evaluate 3 vignette scenarios and fill in a modified version of the Technology Acceptance Model which covers different variables, such as perceived ease of use, human-like trust, and overall attitude. While labeling AI as “trustworthy” did not significantly influence people’s judgements on specific scenarios, it increased perceived ease of use and human-like trust, namely benevolence, suggesting a facilitating influence on usability and an anthropomorphic effect on user perceptions. The study provides insights into how specific labels affect adopting certain perceptions of AI technology.
Inhibition of skin fibrosis via regulation of Th17/Treg imbalance in systemic sclerosis
Authors: Sekiguchi Akiko , Shimokawa Chikako , Kato Tamotsu , Uchiyama Akihiko , Yokoyama Yoko , Ogino Sachiko , Torii Ryoko , Hisaeda Hajime , Ohno Hiroshi , Motegi Sei-ichiro 
Published: January 2025

AbstractSystemic sclerosis (SSc) is an idiopathic systemic connective tissue disorder characterized by fibrosis of the skin and internal organs, with growing interest in the imbalance between Th17 cells and regulatory T cells (Tregs) in the disease’s pathogenesis. Heligmosomoides polygyrus (Hp), a natural intestinal parasite of mice, is known to induce Tregs in the host. We aimed to investigate the effects of Hp-induced Tregs on bleomycin-induced dermal fibrosis and clarify the role of the Th17/Treg balance in SSc fibrosis. Infection with Hp suppressed the development of bleomycin-induced dermal fibrosis and the infiltration of CD3+ T cells and CD68+ macrophages. Flow cytometric analysis revealed that Hp infection increased Tregs and inhibited the induction of bleomycin-induced Th17 cells. Treg depletion nullified these effects, suggesting that Hp-induced Tregs may prevent bleomycin-induced dermal fibrosis and inflammation. Analysis of the intestinal microbiota showed that bacteria positively correlated with Tregs exhibited a negative correlation with Th17 cells and dermal fibrosis in mice. SSc patients with severe fibrosis displayed a distinct microbiota profile. These results suggest that alterations in the intestinal microbiota may contribute to the Th17/Treg imbalance in SSc and its progression. Enhancing Tregs to regulate the Th17/Treg imbalance may present a promising strategy for suppressing fibrosis in SSc.
Ongoing replication stress tolerance and clonal T cell responses distinguish liver and lung recurrence and outcomes in pancreatic cancer
Authors: Link Jason M. , Eng Jennifer R. , Pelz Carl , MacPherson-Hawthorne Kevin , Worth Patrick J. , Sivagnanam Shamaline , Keith Dove J. , Owen Sydney , Langer Ellen M. , Grossblatt-Wait Alison , Salgado-Garza Gustavo , Creason Allison L. , Protzek Sara , Egger Julian , Holly Hannah , Heskett Michael B. , Chin Koei , Kirchberger Nell , Betre Konjit , Bucher Elmar , Kilburn David , Hu Zhi , Munks Michael W. , English Isabel A. , Tsuda Motoyuki , Goecks Jeremy , Demir Emek , Adey Andrew C. , Kardosh Adel , Lopez Charles D. , Sheppard Brett C. , Guimaraes Alex , Brinkerhoff Brian , Morgan Terry K. , Mills Gordon B. , Coussens Lisa M. , Brody Jonathan R. , Sears Rosalie C. 
Published: January 2025

Abstract
Patients with metastatic pancreatic ductal adenocarcinoma survive longer if disease spreads to the lung but not the liver. Here we generated overlapping, multi-omic datasets to identify molecular and cellular features that distinguish patients whose disease develops liver metastasis (liver cohort) from those whose disease develops lung metastasis without liver metastases (lung cohort). Lung cohort patients survived longer than liver cohort patients, despite sharing the same tumor subtype. We developed a primary organotropism (pORG) gene set enriched in liver cohort versus lung cohort primary tumors. We identified ongoing replication stress response pathways in high pORG/liver cohort tumors, whereas low pORG/lung cohort tumors had greater densities of lymphocytes and shared T cell clonal responses. Our study demonstrates that liver-avid pancreatic ductal adenocarcinoma is associated with tolerance to ongoing replication stress, limited tumor immunity and less-favorable outcomes, whereas low replication stress, lung-avid/liver-averse tumors are associated with active tumor immunity that may account for favorable outcomes.
Research on the object detection in complex scenes using diagonal distance
Authors: Guo Dan , He Guoliang 
Published: January 2025

AbstractThe detection method based on IoU boundary box is an important method of image recognition. This paper proposes a diagonal distance loss function, , and a combined diagonal distance loss function, , based IoU. These functions use the distance between diagonals as a penalty, overcoming the degradation phenomenon of prior functions based on traditional IoU. The altered loss functions are also integrated into faster R‐CNN and SSD models, and their effectiveness is assessed on PASCAL VOC, MS COCO and SSDD data sets, yielding favourable results. This paper also extends the IoU calculation between two boxes when performing non‐maximum suppression to advance position precision. The experiments have demonstrated that the enhanced distance calculation method improves both loss function and non‐maximum suppression calculations by around .
Mastering the Art of First Impressions: Tips to Write a Title, Abstract, and Keywords for a Medical Manuscript
Authors: Eapen Kurian C. , Koikkara Kirti Anna , Keshava Shyamkumar Nidugala 
Published: January 2025

AbstractFormulating the title and abstract of a manuscript is crucial to convey the essence of the research paper to the reader at a superficial glance. The title should be short and crisp, yet it should define critical information about the paper, such as the disease highlighted, any intervention studied, or the primary outcome. A structured abstract is required in most journals for an original research article, conveying a summary of the research. The keywords used in the title and abstract also play a vital role in the article's discoverability on various search engines, thereby increasing the overall reach and impact of the article. In this article, we highlight a few key points to consider while drafting the title and abstract of a medical manuscript.
Basic Statistics for Radiologists: Part 1—Basic Data Interpretation and Inferential Statistics
Authors: Kumar Adarsh Anil , Valakkada Jineesh , Ayyappan Anoop , Kannath Santhosh 
Published: January 2025

AbstractA systematic approach to statistical analysis is essential for accurate data interpretation and informed decision-making in the rapidly evolving field of radiology. This review provides a comprehensive overview of the fundamental statistical concepts for radiologists and clinicians. The first part of this series introduces foundational elements such as data types, distributions, descriptive and inferential statistics, hypothesis testing, and sampling methods. These are crucial for understanding the underlying structure of research data. The second part of this series delves deeper into advanced topics, including correlation and causality, regression analysis, survival curves, and the analysis of diagnostic tests using contingency tables and receiver operator characteristic (ROC) curves. These tools are vital for evaluating the efficacy of imaging techniques and drawing valid conclusions from clinical studies. As radiology continues to push the boundaries of technology and therapeutic interventions, mastering these statistical principles will empower radiologists to critically assess literature, conduct rigorous research, and contribute to evidence-based practices. Despite the pivotal role of statistics in radiology, formal training in these methodologies is still limited to a certain extent. This primer aims to bridge that gap, providing radiologists with the necessary tools to enhance diagnostic accuracy, optimize patient outcomes, and advance the field through robust research.
Statistics Primer for Radiologists: Part 2—Advanced statistics for Enhancing Diagnostic Precision and Research Validity
Authors: Kumar Adarsh Anil , Kannath Santhosh , Valakkada Jineesh 
Published: January 2025

AbstractSecond part of this statistics primer focuses on advanced statistical concepts continuing on the foundation of basic statistics built from the first part of this primer. This advanced primer aims to delve deeper into essential statistical concepts beyond the basics, equipping the reader with the knowledge to effectively analyze complex data sets, explore correlations and causality, employ regression analysis techniques, interpret survival curves, and evaluate diagnostic tests rigorously. It primarily focuses on the statistical tests used to analyze the relationship between groups of variables (the statistical tests to analyze the difference between groups of variables was discussed in the part 1 of this series). Toward the end of the article concepts of survival curves and methods for assessing the diagnostic accuracy of tests are stressed upon.