bluuebunny/crossref_metadata_2025_split huggingface dataset:
Profiling moral potency dimensions: A person-centered, multi-sample study
Authors: Herttalampi Mari , Riivari Elina , Siltaoja Marjo , Feldt Taru 
Published: November 2024

Abstract
This study explores what kinds of moral potency profiles can be identified among three different samples: Top sports, Leaders, and Followers. Based on the social norm theory, we examine whether and how the experienced strength of ethical organizational culture is associated with the probability to be identified into different moral potency profiles. Based on ratings of 188 top sport representatives, 237 leaders and their 202 followers, a person-centered approach was used to identify three moral potency profiles: morally hesitant, moderate moral potency, and morally confident. A fourth profile was identified based on the followers’ evaluations of their leaders: morally void. Low evaluations of ethical culture increased the likelihood of being classified into the morally hesitant profile. As the followers were somewhat more critical in evaluating their leaders’ moral potency than the leaders themselves, our findings highlight the value of including other-rated indicators when examining moral actions within organizations.
Reinforcement actor-critic learning as a rehearsal in MicroRTS
Authors: Manandhar Shiron , Banerjee Bikramjit 
Published: November 2024

Abstract
Real-time strategy (RTS) games have provided a fertile ground for AI research with notable recent successes based on deep reinforcement learning (RL). However, RL remains a data-hungry approach featuring a high sample complexity. In this paper, we focus on a sample complexity reduction technique called reinforcement learning as a rehearsal (RLaR) and on the RTS game of MicroRTS to formulate and evaluate it. RLaR has been formulated in the context of action-value function based RL before. Here, we formulate it for a different RL framework, called actor-critic RL. We show that on the one hand the actor-critic framework allows RLaR to be much simpler, but on the other hand, it leaves room for a key component of RLaR–a prediction function that relates a learner’s observations with that of its opponent. This function, when leveraged for exploration, accelerates RL as our experiments in MicroRTS show. Further experiments provide evidence that RLaR may reduce actor noise compared to a variant that does not utilize RLaR’s exploration. This study provides the first evaluation of RLaR’s efficacy in a domain with a large strategy space.
Deep Waters: Flooding and the Climate of Suffering in Nigeria
Authors: Agbiboa Daniel E. 
Published: November 2024

ABSTRACTThis article focuses on the everyday emotions of the populations impacted by the 2022 flood in Nigeria by exploring the affectivities embodied in flooding and the unfurlings of political emotions and agency in these dire circumstances. By foregrounding the everyday emotions of flooding, I address a subject that too often is overlooked in political science, too often shunted to the margins of politics. I advance knowledge of the disparate impacts of flooding on the vulnerable and how these survivors are improvising affective ways of negotiating a complex emergency that spared their lives but left them in a state of injury.
Probabilistic Answer Set Programming with Discrete and Continuous Random Variables
Authors: AZZOLINI DAMIANO , RIGUZZI FABRIZIO 
Published: November 2024

AbstractProbabilistic Answer Set Programming under the credal semantics extends Answer Set Programming with probabilistic facts that represent uncertain information. The probabilistic facts are discrete with Bernoulli distributions. However, several real-world scenarios require a combination of both discrete and continuous random variables. In this paper, we extend the PASP framework to support continuous random variables and propose Hybrid Probabilistic Answer Set Programming. Moreover, we discuss, implement, and assess the performance of two exact algorithms based on projected answer set enumeration and knowledge compilation and two approximate algorithms based on sampling. Empirical results, also in line with known theoretical results, show that exact inference is feasible only for small instances, but knowledge compilation has a huge positive impact on performance. Sampling allows handling larger instances but sometimes requires an increasing amount of memory.
Sodium Enrichment of Mercury's Subsurface Through Diffusion
Authors: Verkercke S. , Leblanc F. , Chaufray J.‐Y. , Morrissey L. , Sarantos M. , Prem P. 
Published: November 2024

AbstractMercury's surface undergoes large temperature gradients between day and night, which repeats periodically over the same longitudes due to its 3:2 spin‐orbit resonance. This effect combined with the orbit's eccentricity, creates hot and cold geographic longitudes. The planet is covered with a highly porous regolith, allowing exospheric atoms to diffuse in depth. By using a 1‐D diffusion model, we studied the subsurface precipitation of gas over the cold and hot longitudes to understand gas retention. This work identifies the cold longitudes as favorable regions to form subsurface reservoirs closer to the surface. Moreover, subsurface reservoirs of adsorbates increase two to three times faster over cold longitudes than over hot longitudes, depending on the surface binding energy distribution of the atoms. We suggest that this result may be related to the observation that Mercury's sodium exosphere persists at later local times over the cold pole.
Correcting Multivariate Biases in Regional Climate Model Boundaries: How Are Synoptic Systems Impacted Over the Australian Region?
Authors: Kim Youngil , Evans Jason P. , Sharma Ashish 
Published: November 2024

AbstractSynoptic climatology, which connects atmospheric circulation with regional environmental conditions, is pivotal to understanding climate dynamics. While regional climate models (RCMs) can reproduce key mesoscale precipitation patterns, biases related to synoptic circulation from the driving model, typically global climate models (GCMs), often remain unaddressed. This study examines the influence of correcting systematic bias in RCM boundaries on the representation of Australian synoptic systems. We utilize a structural self‐organizing map to evaluate the frequency, persistence, and transitions of daily synoptic systems. Our findings reveal that an RCM with multivariate bias‐corrected boundaries improves the representation of synoptic systems compared to the driving GCM, or an RCM with uncorrected or simply bias‐corrected boundaries, particularly in reference to the frequency of systems identified. This demonstrates that appropriately correcting RCM boundary conditions helps correct many of the circulation errors inherited from the driving GCM but not all.
Timescale Dependence of the Precipitation Response to CO2‐Induced Warming in Millennial‐Length Climate Simulations
Authors: Him (Kinen) Kao Wing , Pendergrass Angeline G. 
Published: November 2024

AbstractPrevious work has shown that estimates of climate sensitivity vary over time in response to abrupt CO2 forcing in climate model simulations. The energy fluxes that drive warming in response to increasing CO2 also influence precipitation, which prompts the question: Does the precipitation response therefore also vary over time? We investigate by examining the response of precipitation to warming forced by greenhouse gases—the hydrological sensitivity—in a set of millennial‐length climate simulations with multiple climate models, Long Run Model Intercomparison Project (LongRunMIP). We compare hydrological sensitivity calculated from three different timescales of the simulations: years 1–20, 21–150, and 151–1000. We show that the hydrological sensitivity lacks a consistent dependence on timescale, in contrast to climate sensitivity. Decomposition of the surface energy budget reveals that the relative muting of the multi‐model mean hydrological sensitivity is driven by surface downwelling shortwave flux.
First-line benmelstobart plus anlotinib and chemotherapy in advanced or metastatic/recurrent esophageal squamous cell carcinoma: a multi-center phase 2 study
Authors: Li Ning , Xia Jin , Gao Xiaohui , Zhou Jianwei , Hong Yonggui , Cui Donghai , Zhao Xuesong , Wu Tao , Guo Yanzhen , Wang Junsheng , Luo Suxia 
Published: November 2024

AbstractAlthough first-line immunochemotherapy has improved prognosis for patients with advanced esophageal squamous cell carcinoma (ESCC), more effective strategies still require further investigation. This multi-center, phase II study (ClinicalTrials.gov NCT05013697) assessed the feasibility of benmelstobart (a novel PD-L1 inhibitor) plus anlotinib (multitargeted TKI) and chemotherapy in advanced or metastatic/recurrent ESCC. Eligible patients received 4–6 cycles (21-day) of benmelstobart (1200 mg), anlotinib (10 mg) plus paclitaxel (135 mg/m2)/cisplatin (60–75 mg/m2), then maintained with benmelstobart and anlotinib. Primary endpoint was progression-free survival (PFS) assessed according to RECIST v1.1. Secondary endpoints were tumor response, overall survival (OS), and safety assessed by adverse events (AEs). From September 2021 to November 2023, 50 patients were enrolled and received study treatment. With median follow-up of 23.7 months as of April 1, 2024, median PFS was 14.9 months (95% CI, 11.4-not estimable [NE]) and the 1-year PFS was 58.5% (95% CI, 41.9%–71.9%). Among 50 patients, confirmed objective response rate was 72.0% and disease control rate was 84.0%. Median duration of response of 36 responders was 16.2 months (95% CI, 10.2-NE). At the cutoff date, 31 patients remained alive; median OS was not reached (95% CI, 13.2 months-NE) with 1-year OS of 74.8% (95% CI, 59.8%–84.8%). Forty-six (92.0%) patients reported treatment-related AEs, with 37 (74.0%) were grade ≥3. Overall, benmelstobart plus anlotinib and chemotherapy showed promising efficacy and acceptable toxicity in advanced or metastatic/recurrent ESCC.
Psmb8 inhibits mitochondrial fission and alleviates myocardial ischaemia/reperfusion injury by targeting Drp1 degradation
Authors: Su Hui-Xiang , Xu Luo-Luo , Li Pang-Bo , Bi Hai-Lian , Jiang Wen-Xi , Li Hui-Hua 
Published: November 2024

Abstract
The mitochondrial dynamic imbalance is an important cause of myocardial ischaemia/reperfusion (I/R) injury and dysfunction. Psmb8, as one of the immunoproteasome catalytic subunits, is a key regulator of protein homoeostasis, inflammation and some cardiac diseases. Here, we found that the expression level and activity of Psmb8 were significantly reduced in the heart of I/R mice and in subjects with myocardial infarction (MI). Cardiomyocyte-specific Psmb8 overexpression in mice markedly ameliorated I/R-mediated cardiac injury and dysfunction, which was accompanied by reduced mitochondrial division via the downregulation of dynamin-related protein-1 (Drp1). However, Psmb8 knockout (KO) mice exhibited the opposite changes. The effects of Psmb8 on mitochondrial fission and apoptosis was confirmed in primary cardiomyocytes with overexpression or knockdown of Psmb8 in vitro. Mechanistically, Psmb8 was directly associated with Drp1 and enhanced its degradation, which subsequently suppressed I/R-mediated mitochondrial fission and cardiac injury. Conversely, knockdown of Drp1 in Psmb8-KO mice restored I/R-induced cardiac dysfunction and mitochondrial dynamic imbalance. Our study identified a new cardioprotective role of Psmb8 in cardiac I/R damage through targeting Drp1, and highlight that increasing Psmb8 activity may constitute a promising therapy for ischaemic heart disease.
CARD16 restores tumorigenesis and restraints apoptosis in glioma cells Via FOXO1/TRAIL axis
Authors: Xuan Ruoheng , Hu Tianyu , Cai Lingshan , Zhao Beichuan , Han Erqiao , Xia Zhibo 
Published: November 2024

AbstractA hallmark of glioma cells, particularly glioblastoma multiforme (GBM) cells, is their resistance to apoptosis. Accumulating evidences has demonstrated that CARD16, a caspase recruitment domain (CARD) only protein, enhances both anti-apoptotic and tumorigenic properties. Nevertheless, there is a limited understanding of the expression and functional role of CARD16 in glioma. This study seeks to investigate, through in silico analysis and clinical specimens, the role of CARD16 as a potential tumor promoter in glioma. Functional assays and molecular studies revealed that CARD16 promotes tumorigenesis and suppresses apoptosis in glioma cells. Moreover, knockdown of CARD16 enhances the expression of the FOXO1/TRAIL axis in GBM cells. Additionally, FOXO1 downregulation in CARD16 knockdown GBM cells restores proliferation and reduces apoptosis. Further investigation demonstrated that elevated P21 expression inhibits CDK2-mediated FOXO1 phosphorylation and ubiquitination in CARD16-knockdown GBM cells. Collectively, these findings suggest that CARD16 is a tumor-promoting molecular in glioma via downregulating FOXO1/TRAIL axis, and suppressing TRAIL-induced apoptosis. The CARD16 gene presents significant potential for prognostic prediction and advances in innovative apoptotic therapeutics.
TMEM232 is required for the formation of sperm flagellum and male fertility in mice
Authors: Cai Xinying , Zhang Hui , Kong Shuai , Xu Weilong , Zheng Jie , Wang Ning , He Shuai , Li Shupei , Shen Yiru , Wang Ke , Zhang Zengyunou , Cai Haijian , Ma Fang , Bai Shun , Zhu Fuxi , Xiao Fengli , Wang Fengsong 
Published: November 2024

AbstractAsthenoteratozoospermia is a major cause of male infertility. Thus far, the identified related genes can explain only a small share of asthenoteratozoospermia cases, suggesting the involvement of other genes. The transmembrane protein TMEM232 is highly expressed in mouse testes. In the present study, to determine its function of TMEM232 in testes, we constructed a Tmem232-null mouse model using CRISPR–Cas9 technology. Tmem232 knockout (KO) male mice was completely infertile, and their sperm were immotile, with morphological defects of the flagellum. Electron microscopy revealed an aberrant midpiece-principal junction and the loss of the fourth outer microtubule doublet in the sperm of Tmem232−/− mice. Sperm cells presented an 8 + 2 conformation and an irregular arrangement of the mitochondrial sheath. Proteomic analysis revealed altered expression of proteins related to flagellar motility, sperm capacitation, the integrity and stability of sperm structure, especially an upregulated expression of multiple ribosome components in TMEM232-deficient spermatids. Additionally, TMEM232 was observed to be involved in autophagy by interacting with autophagy-related proteins, such as ATG14, to regulate ribosome homeostasis during spermiogenesis. These results suggest that TMEM232, as a potential scaffold protein involving in the correct assembly, distribution, and stability maintenance of certain functional complexes by recruiting key intracellular proteins, is essential for the formation of a highly structured flagellum and plays an important role in the autophagic elimination of cytosolic ribosomes to provide energy for sperm motility.
MIST1 regulates endoplasmic reticulum stress-induced hepatic apoptosis as a candidate marker of fatty liver disease progression
Authors: Hur Sumin , Jeong Haengdueng , Kim Keunyoung , Kim Kwang H. , Kim Sung Hee , Lee Yura , Nam Ki Taek 
Published: November 2024

AbstractThe liver regenerates after injury; however, prolonged injury can lead to chronic inflammation, fatty liver disease, fibrosis, and cancer. The mechanism involving the complex pathogenesis of the progression of liver injury to chronic liver disease remains unclear. In this study, we investigated the dynamics of gene expression associated with the progression of liver disease. We analyzed changes in gene expression over time in a mouse model of carbon tetrachloride (CCl4)-induced fibrosis using high-throughput RNA sequencing. Prolonged CCl4-induced liver injury increased the expression levels of genes associated with the unfolded protein response (UPR), which correlated with the duration of injury, with substantial, progressive upregulation of muscle, intestine, and stomach expression 1 (Mist1, bhlha15) in the mouse fibrosis model and other liver-damaged tissues. Knockdown of MIST1 in HepG2 cells decreased tribbles pseudokinase 3 (TRIB3) levels and increased apoptosis, consistent with the patterns detected in Mist1-knockout mice. MIST1 expression was confirmed in liver tissues from patients with metabolic dysfunction-associated steatohepatitis and alcoholic steatohepatitis (MASH) and correlated with disease progression. In conclusion, MIST1 is expressed in hepatocytes in response to damage, suggesting a new indicator of liver disease progression. Our results suggest that MIST1 plays a key role in the regulation of apoptosis and TRIB3 expression contributing to progressive liver disease after injury.
The genetic mechanism of B chromosome drive in rye illuminated by chromosome-scale assembly
Authors: Chen Jianyong , Bartoš Jan , Boudichevskaia Anastassia , Voigt Anna , Rabanus-Wallace Mark Timothy , Dreissig Steven , Tulpová Zuzana , Šimková Hana , Macas Jiří , Kim Gihwan , Buhl Jonas , Bürstenbinder Katharina , Blattner Frank R. , Fuchs Jörg , Schmutzer Thomas , Himmelbach Axel , Schubert Veit , Houben Andreas 
Published: November 2024

AbstractThe genomes of many plants, animals, and fungi frequently comprise dispensable B chromosomes that rely upon various chromosomal drive mechanisms to counteract the tendency of non-essential genetic elements to be purged over time. The B chromosome of rye – a model system for nearly a century – undergoes targeted nondisjunction during first pollen mitosis, favouring segregation into the generative nucleus, thus increasing their numbers over generations. However, the genetic mechanisms underlying this process are poorly understood. Here, using a newly-assembled, ~430 Mb-long rye B chromosome pseudomolecule, we identify five candidate genes whose role as trans-acting moderators of the chromosomal drive is supported by karyotyping, chromosome drive analysis and comparative RNA-seq. Among them, we identify DCR28, coding a microtubule-associated protein related to cell division, and detect this gene also in the B chromosome of Aegilops speltoides. The DCR28 gene family is neo-functionalised and serially-duplicated with 15 B chromosome-located copies that are uniquely highly expressed in the first pollen mitosis of rye.
VTA dopamine neurons are hyperexcitable in 3xTg-AD mice due to casein kinase 2-dependent SK channel dysfunction
Authors: Blankenship Harris E. , Carter Kelsey A. , Pham Kevin D. , Cassidy Nina T. , Markiewicz Andrea N. , Thellmann Michael I. , Sharpe Amanda L. , Freeman Willard M. , Beckstead Michael J. 
Published: November 2024

AbstractAlzheimer’s disease (AD) patients exhibit neuropsychiatric symptoms that extend beyond classical cognitive deficits, suggesting involvement of subcortical areas. Here, we investigated the role of midbrain dopamine (DA) neurons in AD using the amyloid + tau-driven 3xTg-AD mouse model. We found deficits in reward-based operant learning in AD mice, suggesting possible VTA DA neuron dysregulation. Physiological assessment revealed hyperexcitability and disrupted firing in DA neurons caused by reduced activity of small-conductance calcium-activated potassium (SK) channels. RNA sequencing from contents of single patch-clamped DA neurons (Patch-seq) identified up-regulation of the SK channel modulator casein kinase 2 (CK2), which we corroborated by immunohistochemical protein analysis. Pharmacological inhibition of CK2 restored SK channel activity and normal firing patterns in 3xTg-AD mice. These findings identify a mechanism of ion channel dysregulation in VTA DA neurons that could contribute to behavioral abnormalities in AD, paving the way for novel treatment strategies.
Predictive learning shapes the representational geometry of the human brain
Authors: Greco Antonino , Moser Julia , Preissl Hubert , Siegel Markus 
Published: November 2024

AbstractPredictive coding theories propose that the brain constantly updates internal models to minimize prediction errors and optimize sensory processing. However, the neural mechanisms that link prediction error encoding and optimization of sensory representations remain unclear. Here, we provide evidence how predictive learning shapes the representational geometry of the human brain. We recorded magnetoencephalography (MEG) in humans listening to acoustic sequences with different levels of regularity. We found that the brain aligns its representational geometry to match the statistical structure of the sensory inputs, by clustering temporally contiguous and predictable stimuli. Crucially, the magnitude of this representational shift correlates with the synergistic encoding of prediction errors in a network of high-level and sensory areas. Our findings suggest that, in response to the statistical regularities of the environment, large-scale neural interactions engaged in predictive processing modulate the representational content of sensory areas to enhance sensory processing.
Molecular signatures of cortical expansion in the human foetal brain
Authors: Ball G. , Oldham S. , Kyriakopoulou V. , Williams L. Z. J. , Karolis V. , Price A. , Hutter J. , Seal M. L. , Alexander-Bloch A. , Hajnal J. V. , Edwards A. D. , Robinson E. C. , Seidlitz J. 
Published: November 2024

AbstractThe third trimester of human gestation is characterised by rapid increases in brain volume and cortical surface area. Recent studies have revealed a remarkable molecular diversity across the prenatal cortex but little is known about how this diversity translates into the differential rates of cortical expansion observed during gestation. We present a digital resource, μBrain, to facilitate knowledge translation between molecular and anatomical descriptions of the prenatal brain. Using μBrain, we evaluate the molecular signatures of preferentially-expanded cortical regions, quantified in utero using magnetic resonance imaging. Our findings demonstrate a spatial coupling between areal differences in the timing of neurogenesis and rates of neocortical expansion during gestation. We identify genes, upregulated from mid-gestation, that are highly expressed in rapidly expanding neocortex and implicated in genetic disorders with cognitive sequelae. The μBrain atlas provides a tool to comprehensively map early brain development across domains, model systems and resolution scales.
Dysfunction of exhausted T cells is enforced by MCT11-mediated lactate metabolism
Authors: Peralta Ronal M. , Xie Bingxian , Lontos Konstantinos , Nieves-Rosado Hector , Spahr Kellie , Joshi Supriya , Ford B. Rhodes , Quann Kevin , Frisch Andrew T. , Dean Victoria , Philbin Mary , Cillo Anthony R. , Gingras Sebastian , Poholek Amanda C. , Kane Lawrence P. , Rivadeneira Dayana B. , Delgoffe Greg M. 
Published: November 2024

AbstractCD8+ T cells are critical mediators of antitumor immunity but differentiate into a dysfunctional state, known as T cell exhaustion, after persistent T cell receptor stimulation in the tumor microenvironment (TME). Exhausted T (Tex) cells are characterized by upregulation of coinhibitory molecules and reduced polyfunctionality. T cells in the TME experience an immunosuppressive metabolic environment via reduced levels of nutrients and oxygen and a buildup of lactic acid. Here we show that terminally Tex cells uniquely upregulate Slc16a11, which encodes monocarboxylate transporter 11 (MCT11). Conditional deletion of MCT11 in T cells reduced lactic acid uptake by Tex cells and improved their effector function. Targeting MCT11 with an antibody reduced lactate uptake specifically in Tex cells, which, when used therapeutically in tumor-bearing mice, resulted in reduced tumor growth. These data support a model in which Tex cells upregulate MCT11, rendering them sensitive to lactic acid present at high levels in the TME.