bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of Potential Candidate Genes in the Differentiation of Neoplastic and Non-neoplastic Conditions of Endometrium
Authors: Devrim Tuba , Devrim Alparslan Kadir , Senol Ali , Sudagidan Mert , Atalay Emine Sumeyye 
Published: February 2025

Abstract

Background
Endometrial cancer is one of the most common malignancies and alternative successful biomarkers are needed in the diagnostic process.

Objectives
This study aimed to investigate candidate genes' diagnostic potential in endometrial neoplasia.

Material and Methods
The expression levels of USP28, JAG2, AURKA, PGK1, HRPT1, EZH2, YAP, and P53 genes were evaluated by qPCR and/or immunohistochemistry analyses on endometrioid-type adenocarcinomas including all three grades, as well as from non-atypical hyperplasia, and atypical hyperplasia.

Results
We determined significant (p < 0.05) increases in USP28, PGK1, EZH2, JAG2, AURKA, and YAP mRNA expressions in endometrial cancer tissues. Significant differences in the expressions of USP28 and P53 genes were determined between tumor grade groups (p = 0.002, and p = 0.005, respectively). Immunohistochemically, significant differences were found between the study groups (p < 0.001) and tumor grades (p = 0.013) by the evaluation of USP28. Statistically significant differences were found between all study groups (p < 0.001) and tumor grades (p = 0.008) in terms of PGK1 immunohistochemical expressions. A positive correlation (p = 0.002, r = 0.356) was found between p53 and PGK1.

Conclusions
Considering our qPCR and immunohistochemistry results together, it was concluded that USP28, PGK1, EZH2, JAG2, AURKA, HPRT1and YAP expressions could offer beneficial expression values in precancerous lesions and endometrial cancer.
Small unmanned helicopter system identification based on the weighted least square method and improved grey wolf optimisation algorithm
Authors: Liu SY. , Zhou J. , Shi JY. , Lu J. 
Published: February 2025

Abstract
Aiming to address the issue of low accuracy in model predictions obtained from fitting frequency domain response curves for small unmanned helicopters during the process of modeling their flight dynamics, this study proposes a system identification algorithm based on the combination of weighted least squares and improved grey wolf optimisation algorithm. The algorithm utilises the weighted least squares method to obtain the initial model structure, optimises the initial model parameters using the improved grey wolf optimisation algorithm, and enhances the local search and global optimisation ability of the grey wolf optimisation algorithm by introducing an improved grey wolf subgrouping rule, nonlinear convergence factor and dynamic cooperative rule. Ultimately, this approach establishes a dynamic model for small, unmanned helicopters. The identified model is validated using flight test data, with findings demonstrating that this method achieves higher accuracy in model identification and better fits to frequency domain response curves, thus providing a more accurate reflection of the flight dynamics of small unmanned helicopters.
Standard rationality versus inclusive rationality: a critical assessment
Authors: Fumagalli Roberto 
Published: February 2025

Abstract
This paper critically assesses Rizzo and Whitman’s theory of inclusive rationality in light of the ongoing cross-disciplinary debate about rationality, welfare analyses and policy evaluation. The paper aims to provide three main contributions to this debate. First, it explicates the relation between the consistency conditions presupposed by standard axiomatic conceptions of rationality and the standards of rationality presupposed by Rizzo and Whitman’s theory of inclusive rationality. Second, it provides a qualified defence of the consistency conditions presupposed by standard axiomatic conceptions of rationality against the main criticisms put forward by Rizzo and Whitman. And third, it identifies and discusses specific strengths and weaknesses of Rizzo and Whitman’s theory of inclusive rationality in the context of welfare analyses and policy evaluation.
Empty simplices of large width
Authors: Doolittle Joseph , Katthän Lukas , Nill Benjamin , Santos Francisco 
Published: February 2025

AbstractAn empty simplex is a lattice simplex in which vertices are the only lattice points. We show two constructions leading to the first known empty simplices of width larger than their dimension: ◦We introduce cyclotomic simplices and exhaustively compute all the cyclotomic simplices of dimension
$10$
and volume up to
$2^{31}$
. Among them, we find five empty ones of width
$11$
and none of larger width.◦Using circulant matrices of a very specific form, we construct empty simplices of arbitrary dimension d and width growing asymptotically as
$d/\operatorname {\mathrm {arcsinh}}(1) \sim 1.1346\,d$
.
Regenerations and applications
Authors: Mongardi Giovanni , Pacienza Gianluca 
Published: February 2025

AbstractChen-Gounelas-Liedtke recently introduced a powerful regeneration technique, a process opposite to specialization, to prove existence results for rational curves on projective
$K3$
surfaces. We show that, for projective irreducible holomorphic symplectic manifolds, an analogous regeneration principle holds and provides a very flexible tool to prove existence of uniruled divisors, significantly improving known results.
Local newforms for generic representations of unramified even unitary groups I: Even conductor case
Authors: Atobe Hiraku 
Published: February 2025

AbstractIn this paper, we define compact open subgroups of quasi-split even unitary groups for each even non-negative integer and establish the theory of local newforms for irreducible tempered generic representations with a certain condition on the central characters. To do this, we use the local Gan–Gross–Prasad conjecture, the local Rankin–Selberg integrals and the local theta correspondence.
How (Not) to Study a War-Affected Society: Challenges of Knowledge Production in Ukraine and Elsewhere
Authors: Sereda Viktoriya , Mikheieva Oksana 
Published: February 2025

Abstract
Critical approaches to research on war-affected societies emphasize the necessity for a more empirically grounded approach to the production of knowledge. Presently, research on war-affected societies is undergoing a shift toward localization with a call for more “voices” with local knowledge and expertise. This research is an attempt to analyze the challenges of reliable knowledge production in war-affected societies and their circulation in academia, the policy-making community, and feeding media discourse. The research focuses on the Russian war against Ukraine since 2014 as a prism through which to examine the main challenges for localized knowledge production. We consider several aspects of knowledge production including the problems and issues of framing and wording that define the character of the conflict, challenges of research design and data collection, researchers’ positioning dilemmas, participants’ responses, differences between policy and academic research, and the role of the media. The purpose of this study is to engage with and attempts to advance the literature on knowledge localization. We argue that a move toward the localization of fieldwork requires a more sensitive and transdisciplinary approach to knowledge production. Based on our own experience of fieldwork during wartime, we point out possible ethical and methodological challenges and offer workable responses to them.
‘A sea of blood and hate’: Mass mobilization of emotion in China’s Anti-narcotics Campaign, 1949–1952
Authors: Chan Thomas 
Published: February 2025

Abstract
This article analyses how the Chinese Communist Party (CCP) created and spread new forms of subjectivity and social belonging in the formative years of the People’s Republic of China (PRC) (1949–present). Specifically, it examines how the CCP blended medical and emotional discourses to foster communal hatred of narcotics users and promote social cohesion. Building on scholarship that conceptualizes hatred as a way of producing and animating subjectivity, the article argues that the CCP saw it as a key tool of unification, bringing people together to commit acts of emotional and physical violence against drug users and traffickers. Propaganda officers and police forces worked hard to persuade people to hate drug users and traffickers, writing anti-narcotics songs, plays, and skits to make hating an entertaining and interesting activity for audiences. The article underscores how the CCP encouraged mass participation in the ostracizing and killing of narcotics producers, consumers, and traffickers to spawn a shared social hatred of them, and shows how people responded to state efforts to incite hate. To conclude, the article considers the unlikely agency of some accused drug criminals who resisted the tides of public and state pressure, and challenged their accusers.
A rare genetic variant in PRDM16 is associated with Wolff–Parkinson–White syndrome with complex accessory pathway characteristics and left ventricular non-compaction cardiomyopathy
Authors: Umapathi Krishna Kishore , Schmidt Stanley B. , Kohli Utkarsh 
Published: February 2025

Abstract
Not only has Wolff–Parkinson–White syndrome been associated with congenital cardiac abnormalities and cardiomyopathies, but familial clustering of Wolff–Parkinson–White syndrome has also been reported. Despite these well-known associations, direct genetic aetiology is rarely implicated in patients with Wolff–Parkinson–White syndrome. We report a 17-year-old girl with Wolff–Parkinson–White syndrome and left ventricular non-compaction cardiomyopathy due to a rare genetic variant in PR-domain containing protein 16. The report is supplemented by a comprehensive review of literature on association between PRDM16, left ventricular non-compaction and Wolff–Parkinson–White syndrome.
The Self-Reported Human Health Impacts of Disaster on People in India: A Cross-Sectional Analysis of the Longitudinal Aging Study India
Authors: Yadav Jeetendra , Ranjan Ravina , Peden Amy E. 
Published: February 2025

AbstractIntroduction:The human health impacts of disaster are predicted to increase in frequency and severity due to the effects of climate change. This has impacts on all nations, but understanding disaster-related health impacts in highly populous nations, such as India, will help to inform risk preparedness and reduction measures for large proportions of the global population.Problem:Disaster-related human health impacts in India were examined via the use of survey data to inform risk reduction.Methods:A cross-sectional analysis of Wave 1 (2017-2018) data from the Longitudinal Aging Study India (LASI) was conducted to explore the impact of both natural and human-induced disasters on the self-reported health of people 45 years and above, as well as their partners (irrespective of age). Descriptive statistics, chi square tests of association, odds ratio, and logistic regression were used to analyze the data by socio-demographics, geographic location, and health concern type.Results:Out of a total 72,250 respondents, 2,301 (3.5%) reported disaster-related health impacts, of which 90.1% were significant. Rural residents and those with no education were more likely to be affected. Droughts were most commonly responsible for affecting human health (41.7%), followed by floods (24.0%). Two-thirds of the sample reported psychological trauma and one-in-five experienced chronic illness.Discussion:The LASI study presents an important first understanding of the self-reported human health impacts of disasters, both natural and human-induced in India. Findings indicate social determinants such as education level and rurality impact risk of disaster-related health impacts, while mental health concerns represent the biggest disaster-related health concern.Conclusion:Future waves of LASI should be examined to determine if human health impacts are increasing due to the effects of climate change, as well as the vulnerability of an aging cohort.
Tax evasion and debt dynamics with endogenous growth
Authors: Levaggi Rosella , Menoncin Francesco 
Published: February 2025

Abstract
In this note, we study the relationship between tax evasion and economic growth in a model where public expenditure allows to improve private capital productivity, and it is financed by both taxes and public debt. Here, we define debt to be sustainable if the debt/GDP ratio resulting from agents optimization converges toward a finite equilibrium that is endogenous to the model. We show that: (i) the level of public expenditure which maximizes growth does not depend on audit parameters, (ii) evasion reduces the range of parameters for which the debt/GDP ratio is sustainable, and (iii) the debt/GDP ratio is sustainable if the total factor productivity is sufficiently high.
Beyond Investment Protection and ISDS: Towards an Investment Law Research Agenda Focusing on Investment Facilitation and Liberalization Commitments
Authors: Paine Joshua 
Published: February 2025

Abstract
This research note contributes to moving the scholarly field of international investment law beyond its dominant focus in recent decades on issues of post-admission investment protection and investor–State dispute settlement (ISDS). Specifically, it maps a future research agenda focusing on issues of investment facilitation and investment liberalization. This research note analyses several common and important themes that arise in relation to treaty-based investment facilitation and investment liberalization commitments. These include the value-added of international legally binding obligations, the impact of international commitments on States' applied policies, and a notable shift away from investor–State arbitration towards State–State dispute settlement only and mechanisms for ongoing cooperation between the treaty parties. These themes raise challenging questions, which often call for future empirical research employing methods other than traditional legal analysis. Nevertheless, this research note suggests that the scholarly field of international investment law has much to gain from shifting some of its focus away from well-versed issues of investment protection and ISDS towards under-researched questions concerning investment facilitation and investment liberalization commitments.
French Validation of the Teacher Emotion Scale (TES-FR)
Authors: Audrin Catherine , Hascoët Marine , Burel Nicolas , Gay Philippe 
Published: February 2025

Abstract: The aim of this study is to propose a French validation of the Teacher Emotion Scale (TES-FR), a self-reported measure of teacher’s emotions (anxiety, anger, and joy). We collected data on two independent samples of teachers (pre- and in service). In Study 1 ( N = 668), exploratory and confirmatory factor analyses supported a three-factor solution representing the three emotions of the TES-FR. In addition, correlation and network analyses revealed that the TES-FR scores were related to teachers’ perceived competence, the importance is they allow to teach, and their interest in the profession. In Study 2 ( N = 249), we performed a confirmatory factor analysis (CFA), which was followed by a structural equation model (SEM) testing how teachers’ perceptions regarding (1) students’ engagement, (2) instruction clarity, and (3) classroom management predicted their emotions. This article supports the three-factor structure proposed in the original version of the TES ( Frenzel et al., 2016 ) and further highlights a good internal consistency and external validity of the TES-FR in preservice and in-service teachers.
Exploring the Significance of Chlorophyll Fluorescence‐Based Photosynthetic Capacity in Gross Primary Productivity Simulations Across Diverse Ecosystems in China
Authors: Amir Muhammad , Chen Bin , Chen Jinghua , Wang Shaoqiang , Zhu Kai , Chen Shiliang , Xia Ye 
Published: February 2025

AbstractAccurate estimation of gross primary productivity (GPP) plays a critical role in developing effective climate change policies. In addition to climatic factors, CO2 levels, and leaf area index (LAI), GPP is also primarily regulated by the maximum rate of carboxylation (Vcmax) in ecosystem models. However, significant uncertainties in Vcmax measurements, along with its limited availability over larger geographical areas, hinder our ability to address scientific questions in context of increasing atmospheric CO2 concentrations. Recently, solar‐induced fluorescence (SIF) signals have been used as non‐invasive way to monitor plant physiological processes. In this study, we utilized eddy covariance‐based GPP and the Soil‐Canopy Observation of Photosynthesis and Energy (SCOPE) model to infer Vcmax. We aimed to establish relationships between site‐scale Vcmax and far‐red solar‐induced chlorophyll fluorescence yield (SIFyield) to estimate photosynthetic capacity across diverse ecosystems in China from 2008 to 2010. Our findings revealed a robust relationship between SIFyield and site‐level Vcmax retrievals, with a coefficient of determination (R2) ranging from 0.36 to 0.74 (p < 0.05) at biweekly (once every two weeks) intervals across all studied sites. Incorporating SIFyield‐derived Vcmax into the SCOPE model resulted in a 9% improvement in GPP simulation accuracy compare to using a constant Vcmax. Additionally, integration SIFyield‐derived Vcmax into the BEPS (Boreal Ecosystem Productivity Simulator) model demonstrated strong agreement between flux‐based and simulated GPP values, further validating the accuracy of the estimated Vcmax in capturing ecosystem photosynthetic capacity. This study highlights the importance of utilizing SIFyield to precisely quantify GPP estimates in the context of imminent climate change challenges.
New Impacts on Mars: Systematic Identification and Association With InSight Seismic Events
Authors: Bickel V. T. , Daubar I. J. , Zenhäusern G. , Doran G. , Charalambous C. , Fernando B. , Sokolowska A. , Wagstaff K. L. , Pike T. , Stähler S. C. , Clinton J. , Giardini D. 
Published: February 2025

AbstractThe InSight lander represents a unique opportunity to correlate seismic data with impact events identified in orbital images, enabling the characterization of the physical properties of the martian crust and mantle. Here, we present the first comprehensive catalog of impacts that occurred during the InSight mission within a 50° radius around the lander. We use a machine learning‐enabled approach to identify 123 date‐constrained impacts with diameters between ∼1 and 22.5 m. We estimate an impact rate of 2.7 × 10−6/km2/year for >3.9 m effective diameter, which is ∼1.6–∼2.5 times higher than previously derived for Mars. We identify 49 seismic events with one or several potential impact match(es) including a 21.5 m crater located near Cerberus Fossae. Our catalog will enable a more accurate characterization of the propagation of seismic body waves at intermediate distances to InSight (5–50°), with major implications for estimates of other seismic event distances.
Machine Learning Reveals the Contrasting Roles of Rainfall and Canopy Structure Metrics on the Formation of Canopy Drip and Splash Throughfall
Authors: Nanko Kazuki , Levia Delphis F. , Iida Shin'ichi , Shinohara Yoshinori , Sakai Naoki 
Published: February 2025

AbstractThroughfall is a significant majority of the total precipitation reaching the ground in forested areas. This study revealed biotic and abiotic factors influencing the throughfall generation process, with the throughfall partitioning into free throughfall, splash throughfall, and canopy drip created at foliar surface drip points (FSDPs) and occasional woody surface drip points (O‐WSDPs), utilizing machine learning. Using a large‐scale rainfall simulator, throughfall drops were simultaneously measured at 19 locations under a mix of deciduous and coniferous tree species in both foliated and unfoliated states. Random forest modeling showed that biotic factors, such as foliage amount, primarily affected the development and volume fraction of canopy drip in foliated trees. In contrast, for unfoliated trees, canopy drip volume fraction was mainly influenced by abiotic factors, including drop size and kinetic energy of open rainfall. The formation and volume fraction of splash throughfall were primarily influenced by abiotic factors for both foliated and unfoliated trees. From the comparison between the foliated and unfoliated states, the generation process of canopy drip was separately clarified between FSDPs and O‐WSDPs. More and larger canopy drip was generated by more foliage with a more wetted canopy with less fluctuation at the FSDPs, whereas a less wetted canopy and/or higher drop impact energy generated more and larger canopy drip at O‐WSDPs. This study underscores the importance of canopy structure and meteorological conditions in determining throughfall partitioning. The findings contribute to a nuanced understanding of rainwater redistribution in forest ecosystems.
Atlas of multilineage stem cell differentiation reveals TMEM88 as a developmental regulator of blood pressure
Authors: Shen Sophie , Werner Tessa , Lukowski Samuel W. , Andersen Stacey , Sun Yuliangzi , Shim Woo Jun , Mizikovsky Dalia , Kobayashi Sakurako , Outhwaite Jennifer , Chiu Han Sheng , Chen Xiaoli , Chapman Gavin , Martin Ella M. M. A. , Xia Di , Pham Duy , Su Zezhuo , Kim Daniel , Yang Pengyi , Tan Men Chee , Sinniah Enakshi , Zhao Qiongyi , Negi Sumedha , Redd Meredith A. , Powell Joseph E. , Dunwoodie Sally L. , Tam Patrick P. L. , Bodén Mikael , Ho Joshua W. K. , Nguyen Quan , Palpant Nathan J. 
Published: February 2025

Abstract
Pluripotent stem cells provide a scalable approach to analyse molecular regulation of cell differentiation across developmental lineages. Here, we engineer barcoded induced pluripotent stem cells to generate an atlas of multilineage differentiation from pluripotency, encompassing an eight-day time course with modulation of WNT, BMP, and VEGF signalling pathways. Annotation of in vitro cell types with reference to in vivo development reveals diverse mesendoderm lineage cell types including lateral plate and paraxial mesoderm, neural crest, and primitive gut. Interrogation of temporal and signalling-specific gene expression in this atlas, evaluated against cell type-specific gene expression in human complex trait data highlights the WNT-inhibitor gene TMEM88 as a regulator of mesendodermal lineages influencing cardiovascular and anthropometric traits. Genetic TMEM88 loss of function models show impaired differentiation of endodermal and mesodermal derivatives in vitro and dysregulated arterial blood pressure in vivo. Together, this study provides an atlas of multilineage stem cell differentiation and analysis pipelines to dissect genetic determinants of mammalian developmental physiology.
A connection between proto-neutron-star Tayler–Spruit dynamos and low-field magnetars
Authors: Igoshev Andrei , Barrère Paul , Raynaud Raphaël , Guilet Jérome , Wood Toby , Hollerbach Rainer 
Published: February 2025

Abstract
Low-field magnetars have dipolar magnetic fields of 1012–1013 G, 10–100 times weaker than the values of magnetic-field strength B ≈ 1014–1015 G used to define classical magnetars, yet they produce similar X-ray bursts and outbursts. Using direct numerical simulations of magnetothermal evolution starting from a dynamo-generated magnetic field, we show that the low-field magnetars can be produced as a result of a Tayler–Spruit dynamo inside a proto-neutron star. We find that these simulations naturally explain key characteristics of low-field magnetars: weak (≲1013 G) dipolar magnetic fields, strong small-scale fields and magnetically induced crustal failures producing X-ray bursts. These findings suggest that the formation channel of low-B magnetars is distinct from that for classical magnetars, reflecting potential differences in proto-neutron-star dynamos.