bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tunable magnetism in titanium-based kagome metals by rare-earth engineering and high pressure
Authors: Chen Long , Zhou Ying , Zhang He , Ji Xuecong , Liao Ke , Ji Yu , Li Ying , Guo Zhongnan , Shen Xi , Yu Richeng , Yu Xiaohui , Weng Hongming , Wang Gang 
Published: May 2024

AbstractRare-earth engineering is an effective way to introduce and tune magnetism in topological kagome materials, which have been acting as a fertile platform to investigate the quantum interactions between geometry, topology, spin, and correlation. Here, we report the synthesis, structure, and physical properties of titanium-based kagome metals RETi3Bi4 (RE = Yb, Pr, and Nd) with various magnetic states. They all crystallize in the orthogonal space group Fmmm (No. 69), featuring distorted titanium kagome lattices and rare-earth zig-zag chains. By changing the rare earth atoms in the zig-zag chains, the magnetism can be tuned from nonmagnetic YbTi3Bi4 to short-range ordered PrTi3Bi4 (Tanomaly ~ 8.2 K), and finally to ferromagnetic NdTi3Bi4 (Tc ~ 8.5 K). In-situ resistance measurements of NdTi3Bi4 under high pressure further reveal a tunable ferromagnetic ordering temperature. These results highlight RETi3Bi4 as a promising family of kagome metals to explore nontrivial band topology and exotic phases.
PML restrains p53 activity and cellular senescence in clear cell renal cell carcinoma
Authors: Simoni Matilde , Menegazzi Chiara , Fracassi Cristina , Biffi Claudia C , Genova Francesca , Tenace Nazario Pio , Lucianò Roberta , Raimondi Andrea , Tacchetti Carlo , Brugarolas James , Mazza Davide , Bernardi Rosa 
Published: May 2024

AbstractClear-cell renal cell carcinoma (ccRCC), the major subtype of RCC, is frequently diagnosed at late/metastatic stage with 13% 5-year disease-free survival. Functional inactivation of the wild-type p53 protein is implicated in ccRCC therapy resistance, but the detailed mechanisms of p53 malfunction are still poorly characterized. Thus, a better understanding of the mechanisms of disease progression and therapy resistance is required. Here, we report a novel ccRCC dependence on the promyelocytic leukemia (PML) protein. We show that PML is overexpressed in ccRCC and that PML depletion inhibits cell proliferation and relieves pathologic features of anaplastic disease in vivo. Mechanistically, PML loss unleashed p53-dependent cellular senescence thus depicting a novel regulatory axis to limit p53 activity and senescence in ccRCC. Treatment with the FDA-approved PML inhibitor arsenic trioxide induced PML degradation and p53 accumulation and inhibited ccRCC expansion in vitro and in vivo. Therefore, by defining non-oncogene addiction to the PML gene, our work uncovers a novel ccRCC vulnerability and lays the foundation for repurposing an available pharmacological intervention to restore p53 function and chemosensitivity.
Spontaneous coronary artery dissection: a clinically oriented narrative review
Authors: Dang Quan , Burgess Sonya , Psaltis Peter J. , Fairley Sarah , Saw Jacqueline , Zaman Sarah 
Published: May 2024

AbstractSpontaneous coronary artery dissection (SCAD) is an important cause of acute coronary syndromes (ACS), with a higher incidence in younger female patients. It is also associated with pregnancy, delivery, and the post-partum period. Despite an exponential rise in the volume of SCAD-focused research and publications within the past decade, SCAD is still a poorly understood condition, with a paucity of randomised controlled trial data. This review discusses the pathophysiology, clinical presentation, diagnosis and management of SCAD alongside areas for future research.
An unprecedented Cu6 cluster-based bimetallic MOF with multiple open sites for high CO2 capture and efficient CO2 conversion
Authors: Yu Xueyue , Gu Jiaming , Tang Baobing , Xu Tong , Li Guanghua , Chang Zhiyong , Liu Yunling 
Published: May 2024

Through soft-hard acid-base theory, a novel bimetallic MOF (JLU-MOF108) with an unprecedented 12-connected Cu6 cluster SBU was synthesized. LAS and LBS inside JLU-MOF108 exhibited significant CO2 capture and conversion capability.
An information theoretic metric for measurement vulnerability to data integrity attacks on smart grids
Authors: Ye Xiuzhen , Esnaola Iñaki , Perlaza Samir M. , Harrison Robert F. 
Published: May 2024

AbstractA novel metric that describes the vulnerability of the measurements in power systems to data integrity attacks is proposed. The new metric, coined vulnerability index (VuIx), leverages information theoretic measures to assess the attack effect in terms of the fundamental limits of the disruption and detection tradeoff. The result of computing the VuIx of the measurements in the system yields an ordering of their vulnerability based on the degree of exposure to data integrity attacks. This new framework is used to assess the measurement vulnerability of IEEE 9‐bus and 30‐bus test systems and it is observed that power injection measurements are significantly more vulnerable to data integrity attacks than power flow measurements. A detailed numerical evaluation of the VuIx values for IEEE test systems is provided.
Two‐stage stochastic‐robust planning of distributed energy storage systems with Archimedes optimisation algorithm
Authors: Yuan Tianmeng , Chen Zhuoxu , Hu Zechun 
Published: May 2024

AbstractWith the advancement of energy storage technologies, energy storage systems (ESSs) have emerged as a promising solution for distribution networks to mitigate the impact of intermittent and violate renewable energy sources. The optimal planning of distributed ESS is studied to minimise the investment and operational costs for the distribution system operator. To address the various uncertainties associated with load demand and distributed generation, the authors formulate the problem as a two‐stage stochastic‐robust optimisation problem. The proposed formulation implements various representative scenarios of actual operating conditions and constructs the robust uncertainty set to ensure feasibility under worst‐case scenarios. In view of the computational complexity of the proposed model, a solution approach combining the Archimedes optimisation algorithm and the global optimisation method is presented. By decomposing the investment and operation stages, the subproblems are relaxed into mixed integer second‐order cone programming models, which can be solved in parallel based on scenarios. Numerical studies are carried out on a 17‐node test system to demonstrate the validity of the proposed model and algorithm. In addition, a comparison between the proposed method and the genetic algorithm is performed, to illustrate its superiority in solving speed and solution optimality.
The rise and fall of Silvergate Bank: lessons for prudential regulation of crypto-sector banking
Authors: Warren Mark 
Published: May 2024

AbstractSilvergate Bank began to “wind down operations and voluntarily liquidate” its bank in March 2023. Whereas Silicon Valley Bank and Signature Bank would be shut down by the Federal Deposit Insurance Corporation in the following days, this “crypto-sector bank” was able to satisfy depositor withdrawals and enter into voluntary liquidation. This paper examines how Silvergate Bank managed its balance sheet in a manner that maintained liquidity and its ability to satisfy substantial and unpredictable outflows from depositor withdrawals by its “crypto-firm” clients. Its approach was consistent with the ethos of the Basel III liquidity requirements to which many banks—though not Silvergate Bank—are subject. Yet the Silvergate model went further by recognising the idiosyncratic depositor dynamics of “crypto-firms”. This paper argues that prudential regulation should apply this model to (i) any bank that sources a substantial proportion of its funding from “crypto-firm” clients, irrespective of that bank’s size, and (ii) all deposits related to crypto-asset market participants at all banks.
The relationship between knowledge accumulation and gender norms
Authors: Lapatinas Athanasios , Litina Anastasia , Zanaj Skerdilajda 
Published: May 2024

AbstractGender norms, encompassing social and cultural attitudes that dictate suitable behaviors for women and men, are pivotal in shaping societal dynamics. This paper explores the intricate relationship between knowledge accumulation, as reflected in a nation’s economic complexity, and its gender norms. Drawing on the revealed preferences of a substantial cohort, totaling 64,954 individuals from up to 49 countries, and their respective countries’ economic complexity indices, we uncover a non-trivial relationship. At lower levels of economic complexity, there exists an inverse correlation between less rigid gender norms and technological sophistication. This suggests that the initial stages of knowledge accumulation coincide with inflexible gender norms, particularly regarding women’s roles within households. However, as economic complexity surpasses a certain threshold, this correlation reverses. Further knowledge accumulation aligns with more adaptable gender norms, indicating a shift towards less rigidity, especially concerning women’s roles in the public sphere. These findings underline the connection between economic development and shifting gender norms. Notably, while economic complexity catalyzes a transition towards less rigid norms regarding women’s household roles at lower stages, it is only at a certain threshold that significant changes in norms pertaining to women’s public roles become evident. This study contributes to understanding the evolution of gender norms in the context of economic development. By shedding light on the intricate dynamics between knowledge accumulation and gender norms, it emphasizes the significance of considering socioeconomic factors in addressing gender norms. Findings have implications for policymakers and stakeholders offering valuable insights into the mechanisms driving societal change.
From vocation to profession: multiple identities of Chinese management academics
Authors: Liu Shubo , Huang Qiuli , Lv Mengna 
Published: May 2024

AbstractThe academic landscape in China has undergone a profound transformation, shifting from a spiritually rooted vocation to a model driven by managerial efficiency, catalyzed by market reforms that dismantled the traditional, centrally planned system. This seismic shift has forced scholars to adapt to a performance-oriented environment, leading to significant transformations in their professional identities. Contemporary literature, primarily centered on Western role-theory perspectives, often fails to capture the intricate cognitive dynamics that shape academic identities under the varied influence of power dimensions. This study addresses this gap by exploring how Chinese academics’ identities are constructed amidst a complex interplay of power dynamics, external changes, and internal motivations, moving beyond simplistic group-level categorizations. Employing an intersectional approach within a multidimensional organizational power framework, this research utilizes case study methods to probe deeply into the multiple identities of academics in the Business Management discipline across various Chinese higher education institutions. The study reveals a dynamic interplay among multiple power dimensions, including American research hegemony, industrialization of academic governance, self-regulation, and rebellion against ‘academic games’. These forces collectively shape distinct identity modules among Chinese academics: fanatic convert of American research, career survivor, diligent game player, and career retreater, each responding uniquely to the evolving academic pressures. This research significantly enhances our understanding of academic identity construction by extending beyond traditional role-based analyses to encompass a broader spectrum of cognitive processes. It highlights the nuanced intersectionality of academic identities, effectively integrating structuralist perspectives with personal agency. This comprehensive examination provides critical insights into the development of Management disciplines, university governance, and professional practices within the academic community in China.
Multi-class identification of tonal contrasts in Chokri using supervised machine learning algorithms
Authors: Gope Amalesh , Pal Anusuya , Tetseo Sekholu , Gogoi Tulika , J Joanna , Borah Dinkur 
Published: May 2024

AbstractThis study examines and explores the effectiveness of various Machine Learning Algorithms (MLAs) in identifying intricate tonal contrasts in Chokri (ISO 639-3), an under-documented and endangered Tibeto-Burman language of the Sino-Tibetan language family spoken in Nagaland, India. Seven different supervised MLAs, viz., [Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Naive Bayes (NB)], and one neural network (NN)-based algorithms [Artificial Neural Network (ANN)] are implemented to explore five-way tonal contrasts in Chokri. Acoustic correlates of tonal contrasts, encompassing fundamental frequency fluctuations, viz., f0 height and f0 direction, are examined. Contrary to the prevailing notion of NN supremacy, this study underscores the impressive accuracy achieved by the RF. Additionally, it reveals that combining f0 height and directionality enhances tonal contrast recognition for female speakers, while f0 directionality alone suffices for male speakers. The findings demonstrate MLAs’ potential to attain accuracy rates of 84–87% for females and 95–97% for males, showcasing their applicability in deciphering the intricate tonal systems of Chokri. The proposed methodology can be extended to predict multi-class problems in diverse fields such as image processing, speech classification, medical diagnosis, computer vision, and social network analysis.
Happiness amidst the COVID-19 pandemic in Indonesia: exploring gender, residence type, and pandemic severity
Authors: Pattinasarany Indera Ratna Irawati 
Published: May 2024

AbstractThis study delves into the dynamics shaping happiness levels in Indonesia before and during the COVID-19 pandemic, specifically emphasizing gender and residence-type disparities. Using data from the 2017 and 2021 Happiness Level Measurement Survey, it offers insights into how different population segments were affected. The analysis employs a multilevel mixed-effects ordered logistic model, considering individuals nested within provinces, and measures pandemic severity using positive COVID-19 cases per 100,000 residents. This study evaluates pandemic-related happiness shifts using nationwide cross-sectional survey data from two timeframes. It derives substantial statistical strength from data involving 137,000+ respondents gathered through comprehensive face-to-face interviews. It mitigates recall bias by capturing happiness at two distinct time points, avoiding retrospective measures. The study examines and validates four research questions. First, higher COVID-19 cases in provinces correlate with lower happiness. Second, though women were happier than men, the pandemic reduced this gender-based gap. Third, urban residents were generally happier than rural residents, but the pandemic narrowed this difference. All the estimates exhibit statistical significance at the 1 percent level. Finally, while provincial poverty showed minimal happiness impact, a negative association between unequal per capita expenditure and happiness emerged, providing partial backing for investigating the role of macroeconomic conditions. This study reveals that the COVID-19 pandemic altered happiness dynamics in Indonesia, narrowing gender and residence-based gaps. It also emphasizes the role of socioeconomic factors, particularly unequal per capita expenditure, in influencing individual happiness, highlighting implications for targeted policy interventions.
Artificial intelligence and socioeconomic forces: transforming the landscape of religion
Authors: He Yugang 
Published: May 2024

AbstractThis research examines the influences of artificial intelligence and socioeconomic factors on religious freedom across 20 countries from 2000 to 2022. Employing a detailed model that integrates both specific effects related to individual countries and annual changes, our study offers an extensive empirical analysis of how artificial intelligence relates to religious freedom. The results indicate a notable negative impact of artificial intelligence on religious freedom. Furthermore, the study sheds light on key factors that affect religious freedom, uncovering a positive correlation with elements such as economic growth, political stability, and education levels. However, it was also observed that increased digitalization correlates negatively with religious freedom. These conclusions are reinforced by findings from the system-generalized method of moment estimation, which strongly support our initial results. Consequently, this study establishes that the relationship between artificial intelligence and religious freedom is intricate and shaped by a variety of socioeconomic factors. Our findings emphasize the necessity for thoughtful consideration of the broader societal impacts of artificial intelligence, especially regarding essential human rights like religious freedom.
The star formation, dust, and abundance of galaxies with unWISE-CIB cross-correlations
Authors: Yan Ziang , Maniyar Abhishek S. , van Waerbeke Ludovic 
Published: May 2024

Abstract
The cosmic infrared background (CIB) is the accumulated infrared (IR) radiation mainly
from interstellar dust heated up by early stars. In this work, we measure the cross-correlation
between galaxies from the unWISE catalog and the CIB maps from the Planck satellite
to simultaneously constrain the cosmic star formation rate (SFR), dust spectral energy
distribution (SED), and the halo occupation distribution (HOD). The unWISE galaxy catalog
is divided into three tomographic bins centered at z ∼ 0.6, 1.1, 1.5, and the CIB maps are at
353, 545, and 857 GHz. We measure the cross-correlations between these galaxy samples and CIB maps
and get a 194σ signal within an angular scale 100<ℓ<2000, from which we constrain two
CIB halo models from previous literature and one new model. The SFR, SED, and HOD model parameters
are constrained consistently among the three models. Specifically, the dust temperature at z = 0
is constrained T
0 = 21.14+1.02
-1.34 K, which is slightly lower than T
0 = 24.4±1.9 K measured by the Planck collaboration. The halo mass that gives the most efficient star
formation is around 1011.79+0.73
-0.86

M
⊙. From the model parameters, combined
with the SFR density at z = 0 synthesized from multi-wavelength observations, we break the
degeneracy between SED and SFR and recover the cosmic star formation history that is consistent
with multi-wavelength surveys. We also constrain the graybody SED model in agreement with previous
measurements from infrared flux stacking. From the HOD constraints, we derive an increasing trend
of galaxy linear bias along redshifts that agrees with the results from cross- and
auto-correlation with unWISE galaxies. This study indicates the power of using CIB-galaxy
cross-correlation to study star formation, dust, and abundance of galaxies across cosmic time.
An optimization design for fiber-optic neutron detector based on 6LiF/ZnO:Ga and wavelength shifting fibers
Authors: Xiong Bangping , Wan Bo , Zhao Yang , Yang Daibo , Ge Xi , Sun Shangqing 
Published: May 2024

Abstract
The fiber-optic neutron detector consists principally of a
neutron-sensitive scintillator, optical fiber, and photomultiplier
tube. It has features such as small size, real-time online
measurement capability, and high resistance to electromagnetic
interference. This detector is excellent for neutron detection in
areas with limited space and strong electromagnetic
interference. However, its small size results in a comparatively low
neutron sensitivity. The goal of this study is to look into the
relationship between detector parameters and performance in order to
improve the detector design. The research begins with the
development of a detector model using Monte Carlo simulation
programs to investigate the relationship between the
6LiF/ZnO:Ga mass ratio, thickness, wavelength-shifting fiber
length, and detector performance. The 6LiF/ZnO:Ga mass ratio
was then used as the test parameter to create equivalent detector
samples for experimental validation. The results show that the
detector has the highest neutron sensitivity when the mass ratio of
6LiF/ZnO:Ga is 1:1. This pattern is consistent with
theoretical simulation results, indicating that the optimization
strategy for detector parameters is feasible. The results of this
work give a theoretical foundation for the development and practical
implementation of the fiber-optic neutron detector.
The Association Between Type of Insurance Plan, Out-of-Pocket Cost, and Adherence to Antihypertensive Medications in Medicare Supplement Insurance Enrollees
Authors: Zhang Donglan , Xu Jianing , Hall Daniel B , Chen Xianyan , Chen Ming , Divers Jasmin , Wei Jingkai , Rajbhandari-Thapa Janani , Wright Davene R , Arabadjian Milla , Young Henry N 
Published: May 2024

Abstract

BACKGROUND
Medicare supplement insurance, or Medigap, covers 21% of Medicare beneficiaries. Despite offsetting some out-of-pocket (OOP) expenses, remaining OOP costs may pose a barrier to medication adherence. This study aims to evaluate how OOP costs and insurance plan types influence medication adherence among beneficiaries covered by Medicare supplement plans.

METHODS
We conducted a retrospective analysis of the Merative MarketScan Medicare Supplement Database (2017–2019) in Medigap enrollees (≥65 years) with hypertension. The proportion of days covered (PDC) was a continuous measure of medication adherence and was also dichotomized (PDC ≥0.8) to quantify adequate adherence. Beta-binomial and logistic regression models were used to estimate associations between these outcomes and insurance plan type and log-transformed OOP costs, adjusting for patient characteristics.

RESULTS
Among 27,407 patients with hypertension, the average PDC was 0.68 ± 0.31; 47.5% achieved adequate adherence. A mean $1 higher in 30-day OOP costs were associated with a 0.06 (95% confidence intervals [CIs]: −0.09 to −0.03) lower probability of adequate adherence, or a 5% (95% CI: 4%–7%) decrease in PDC. Compared with comprehensive plan enrollees, the odds of adequate adherence were lower among those with point-of-service plans (odds ratio [OR]: 0.69, 95% CI: 0.62–0.77), but higher among those with preferred provider organization (PPO) plans (OR: 1.08, 95% CI: 1.01–1.15). Moreover, the association between OOP costs and PDC was significantly greater for PPO enrollees.

CONCLUSIONS
While Medicare supplement insurance alleviates some OOP costs, different insurance plans and remaining OOP costs influence medication adherence. Reducing patient cost-sharing may improve medication adherence.