bluuebunny/crossref_metadata_2025_split huggingface dataset:
The glucose transporter GLUT12, a new actor in obesity and cancer
Authors: Burgos Miguel , Gil-Iturbe Eva , Idoate-Bayón Adrián , Castilla-Madrigal Rosa , Moreno-Aliaga Maria J. , Lostao M. Pilar 
Published: May 2024

AbstractObesity constitutes a global health epidemic which worsens the main leading death causes such as type 2 diabetes, cardiovascular diseases, and cancer. Changes in the metabolism in patients with obesity frequently lead to insulin resistance, along with hyperglycemia, dyslipidemia and low-grade inflammation, favoring a more aggressive tumor microenvironment. One of the hallmarks of cancer is the reprogramming of the energy metabolism, in which tumor cells change oxidative phosphorylation to aerobic glycolysis or “Warburg effect”. Aerobic glycolysis is faster than oxidative phosphorylation, but less efficient in terms of ATP production. To obtain sufficient ATP, tumor cells increase glucose uptake by the glucose transporters of the GLUT/SLC2 family. The human glucose transporter GLUT12 was isolated from the breast cancer cell line MCF7. It is expressed in adipose tissue, skeletal muscle and small intestine, where insulin promotes its translocation to the plasma membrane. Moreover, GLUT12 over‐expression in mice increases the whole‐body insulin sensitivity. Thus, GLUT12 has been proposed as a second insulin‐responsive glucose transporter. In obesity, GLUT12 is downregulated and does not respond to insulin. In contrast, GLUT12 is overexpressed in human solid tumors such as breast, prostate, gastric, liver and colon. High glucose concentration, insulin, and hypoxia upregulate GLUT12 both in adipocytes and tumor cells. Inhibition of GLUT12 mediated Warburg effect suppresses proliferation, migration, and invasion of cancer cells and xenografted tumors. This review summarizes the up-to-date information about GLUT12 physiological role and its implication in obesity and cancer, opening new perspectives to consider this transporter as a therapeutic target.
Environmental Risk Identification and Green Finance Development Based on Multi-scale Fusion Recognition Network
Authors: Tang Meili , Li Xiaoyuan 
Published: May 2024

AbstractThis paper aims to enhance the resilience of financial enterprises against environmental risks by leveraging financial data analysis tools. The approach involves designing environmental risk assessment indicators and rating criteria. The study utilizes a convolutional neural network model extended by a multi-scale feature fusion module to analyze environmental risk information in the industry. The proposed model achieves impressive results with accuracy (Acc), precision (P), recall (R), and F1 scores reaching 99.09, 96.31, 95.32, and 95.64, respectively. These metrics outperform those of comparison models. The success of this model is anticipated to pave the way for the transformation of green finance through automated industry-level environmental risk assessment. Furthermore, the method’s adaptability extends beyond environmental risks, offering a scalable solution for identifying and assessing environmental risks in various contexts.
Persistence in the Unemployment and Inflation Relationship. Evidence from 38 OECD Countries
Authors: Solarin Sakiru Adebola , Lafuente Carmen , Gil-Alana Luis A. , González-Blanch María Jesús 
Published: May 2024

AbstractThis paper focuses on the analysis of persistence in the unemployment and inflation rates in a group of 38 OECD countries as well as on the relationship between the two variables. For this purpose, fractional integration is used. The results indicate that the two individual variables are highly persistent, especially the unemployment rate, and evidence of mean reversion is only found in the cases of Colombia and Costa Rica for unemployment and in Norway for inflation. Conducting the analysis on the difference between the two variables, the order of integration is significantly smaller in a number of cases, and reversion to the mean takes place in the cases of Austria, Switzerland, Costa Rica, Israel, and Turkey. Policy recommendations derived from the results are presented in the concluding section of the article.
Oil palm waste-derived adsorbents for the sequestration of selected polycyclic aromatic hydrocarbon in contaminated aqueous medium
Authors: Sambo God’swill Nathan , Adeola Adedapo Oluwasanu , Muhammad Syahidah Akmal 
Published: May 2024

AbstractCarbonaceous adsorbents were synthesized from palm kernel shell and palm mesocarp fiber for the adsorption of phenanthrene (PHE) and the highly carcinogenic-benzo(a)pyrene (BaP). The structure and properties of the activated biochar were characterized using standardized analytical tools. The microscopic examinations carried out with SEM and BET results revealed mesoporous structures and interstitial spaces in the activated samples (AB-PKS and AB-PMS). Powder X-ray diffraction (PXRD) results showed that prepared sorbents are amorphous and that activation affected the amorphous cellulose on the surface of the microfibrils which led to a decrease in the intensity of some peaks. Fourier-transform infrared spectroscopy (FTIR) affirms the availability of surface moieties that may promote polycyclic aromatic hydrocarbon (PAH) removal or decontamination of aqueous media. The sorption isotherm and effect of pH on the adsorption of PHE and BaP onto the activated palm kernel shell (AB-PKS) and activated palm mesocarp fiber (AB-PMF) were investigated. The isotherm studies and error analysis (SSE and R2) confirm that the Freundlich model best fits experimental results for AB-PMF; while, the Langmuir model best describes AB-PKS sorption of BaP and PHE, respectively. The optimal removal efficiency for PHE was between 84 and 100% while that of BaP was between 68 and 87% with maximum adsorption capacity (qmax) of 19.38–21.98 mg/g and 1.24–13.26 mg/g, respectively. The optimum pH condition for removing PHE is less than 7 and above 7 for BaP. Therefore, the conversion of waste materials to useful sorbents, as well as preliminary adsorption test results obtained suggests a cleaner and cost-effective pathway for waste management and water treatment.
Conjugations of unitary operators, II
Authors: Mashreghi Javad , Ptak Marek , Ross William T. 
Published: May 2024

AbstractFor a unitary operator U on a separable complex Hilbert space $${\mathcal {H}}$$
H
, we describe the set $${\mathscr {C}}_{c}(U)$$

C
c

(
U
)

of all conjugations C (antilinear, isometric, and involutive maps) on $${\mathcal {H}}$$
H
for which $$C U C = U$$

C
U
C
=
U

. As this set might be empty, we also show that $${\mathscr {C}}_{c}(U) \not = \varnothing $$

C
c

(
U
)

≠
∅

if and only if U is unitarily equivalent to $$U^{*}$$

U

∗

.
Adherence to and clinical utility of “quality indicators” for Staphylococcus aureus bacteremia: a retrospective, multicenter study
Authors: Fukushima Shinnosuke , Hagiya Hideharu , Kuninaga Naoki , Haruki Yuto , Yamada Haruto , Iwamoto Yoshitaka , Yoshida Masayo , Sato Kota , Hanayama Yoshihisa , Tanaka Shuichi , Miyoshi Tomoko , Otsuka Yuki , Ueda Keigo , Otsuka Fumio 
Published: May 2024

Abstract
Background
We aimed to improve the prognosis, treatment, and management of Staphylococcus aureus bacteremia (SAB) by evaluating the association between adherence to quality indicators (QIs) and clinical outcomes in patients with their clinical outcomes.

Methods
We retrospectively collected clinical and microbiological data on hospitalized patients with SAB from 14 hospitals (three with >  600, two with 401–600, five with 201–400, and four with ≤ 200 beds) in Japan from January to December 2022. The SAB management quality was evaluated using the SAB-QI score (ranging from 0 to 13 points), which consists of 13 QIs (grouped into five categories) based on previous literature.

Results
Of the 4,448 positive blood culture episodes, 289 patients with SAB (6.5%) were enrolled. The SAB-QI scores ranged from 3 to 13, with a median score of 9 points. The SAB-QI score was highest in middle-sized hospitals with 401–600 beds. Adherence to each of the four QI categories (blood culture, echocardiography, source control, and antibiotic treatment) was significantly higher in survived cases than in fatal cases. Kaplan–Meier curves with log-rank tests demonstrated that higher adherence to SAB-QIs indicated a better prognosis. Logistic regression analysis revealed that age, methicillin resistance, multiple comorbidities (≥ 2), and low SAB-QI score were significantly associated with 30-day mortality in patients with SAB.

Conclusions
Our study highlights that greater adherence to the SAB-QIs correlates with improved patient outcomes. Management of patients with SAB should follow these recommended indicators to maintain the quality of care, especially for patients with poor prognosticators.
The lens of the quantity theory of money to disentangle the perceived relationship between money growth and inflation: a PSVAR approach
Authors: Focacci Antonio , Focacci Angelo , Faenza Alessandro 
Published: May 2024

AbstractThis paper contributes to the debate on the re-appraisal of monetization mechanism as a possible tool for dealing with macroeconomic imbalances due to close economic shocks (e.g. the Covid pandemic, the Russia-Ukraine conflict and the escalation in Israel-Hamas crisis). We analyze and empirically discuss the well-known Quantity Theory of Money (QTM), by applying the SVAR methodology to a heterogeneous panel including several Countries (Australia, China, India, Japan, United Kingdom and the United States) plus the block of Euro Zone (EZ) over the period 1992–2022. We investigate the dynamics and the impacts of the variables included in the theoretical model (inflation, GDP growth, money growth and the change in the velocity of money) through the analysis of the macro economic datasets retrieved from the OECD and Trading Economics databases. We find that money growth does not exert the decisive spillover effect on the path of inflation (i.e. common shock) throughout our sample. Moreover, our results indicate that the idiosyncratic component does not show a predominant and determining role of monetary growth in inflationary dynamics.
The Impact of Islamophobia on the Persecution of Myanmar's Rohingya: A Human Rights Perspective
Authors: Chowdhury Ainun Nishat , Sifat Ridwan Islam 
Published: May 2024

AbstractThe concept of Islamophobia and the persecution of the Rohingya minority—these two phenomena are highly significant in the world context. These factors have affected systematic violence and statelessness for many years by the Myanmar Buddhist majority and the Myanmar government itself. The Rohingya community has a significant connection with several factors, including political, economic, national, and religious relations. This paper is dependent on a qualitative research methodology using secondary data was used. Myanmar is a non-secular, Buddhist-dominated country where the Buddhist majority holds a perception of Islam to justify their violence towards this community and to ensure Buddhist domination. This paper will shed some light on the argument, and discusses the extent to which Islamophobia is significant behind violations of human rights in the Rohingya community.
Propositional claim detection: a task and dataset for the classification of claims to truth
Authors: Nenno Sami 
Published: May 2024

AbstractThis paper introduces Propositional Claim Detection (PCD), an NLP task for classifying claims to truth, and presents a publicly available dataset for it. PCD is applicable in practical scenarios, for instance, for the support of fact-checkers, as well as in many areas of communication research. By leveraging insights from philosophy and linguistics, PCD is a more systematic and transparent version of claim detection than previous approaches. This paper presents the theoretical background for PCD and discusses its advantages over alternative approaches to claim detection. Extensive experiments on models trained on the dataset are conducted and result in an $$\hbox {F}_{1}$$

F
1

-score of up to 0.91. Moreover, PCD’s generalization across domains is tested. Models trained on the dataset show stable performance for text from previously unseen domains such as different topical domains or writing styles. PCD is a basic task that finds application in various fields and can be integrated with many other computational tools.
Response of ion velocities of daytime ionospheric wavenumber-4 to solar activity observed by ROCSAT-1 and DEMETER
Authors: Cheng Ching-Chung , Liu Jann-Yenq , Chang Fu-Yuan , Lin Chi-Yen , Chang Loren C. , Chao Chi-Kuang 
Published: May 2024

AbstractThe electron/ion density/temperature and ion velocities observed by the ROCSAT-1 and DEMETER satellites are used to examine the daytime wavenumber-4 (WN4) feature in the equatorial/low latitude ionosphere during various months and solar activity levels of 1999–2010. A moving median process has been employed to isolate WN4 features and calculate their amplitudes, while the upward ion drift is used to estimate electric fields. The ROCSAT-1 and DEMETER ion density, ion temperature, and ion velocity generally yield prominent WN4 features over the center of Pacific Ocean, the west side of South America, the center of the Atlantic Ocean, and Southern India. The correlation coefficient between the deviation of ion density and upward ion drift is significant during high solar activity of 1999–2004, while it approaches to zero during low solar activity of 2004–2010. This confirms that the longitudinal variation of the upward ion drift is essential during high solar activity, and the associated amplitude of dynamo eastward electric field is in the range of 0.10–0.14 mV/m, which is 15–19% of daily dynamo electric field. By contrast, the deviation of the ion density and the northward field-aligned ion flow show a clear anti-correlation which yields a maximum coefficient in August during low solar activity but no correlation during high solar activity. These indicate that the longitudinal variation of the meridional field-aligned ion flow could play an important role during low solar activity, and its amplitude is in the range of 10.44–13.91 m/s, which is 10–13% of the ambient ion flows.
Is spontaneous vortex generation in superconducting 4Hb-TaS2 from vison-vortex nucleation with $\mathbb{Z}_{2}$ topological order?
Authors: Luo Rui Leonard , Chen Gang V. 
Published: May 2024

AbstractWe propose the superconducting van der Waals material 4Hb-TaS2 to realize the $\mathbb{Z}_{2}$

Z
2

topological order and interpret the recent discovery of the spontaneous vortex generation in 4Hb-TaS2 as the vison-vortex nucleation. For the alternating stacking of metallic/superconducting and Mott insulating layers in 4Hb-TaS2, we expect the local moments in the Mott insulating 1T-TaS2 layer to form the $\mathbb{Z}_{2}$

Z
2

topological order. The spontaneous vortex generation in 4Hb-TaS2 is interpreted from the transition or nucleation between the superconducting vortex and the $\mathbb{Z}_{2}$

Z
2

vison in different phase regimes. Differing from the single vison-vortex nucleation in the original Senthil–Fisher’s cuprate proposal, we consider such nucleation process between the superconducting vortex lattice and the vison crystal. We further propose experiments to distinguish this proposal with the $\mathbb{Z}_{2}$

Z
2

topological order from the chiral spin liquid scenarios.
New model for digital sustainable growth: Insights from human biology and surgical approach - a retrospective analysis of 15 years of constant socio-economic innovations at the Human Information Technology Lab, Finland
Authors: Shalaby Ahmed 
Published: May 2024

Abstract
Introduction
Over 15 years, the Human Information Technology Laboratory in Finland has undertaken an exploration of sustainable growth at the nexus of technology, economics, and society. Diverging from traditional academic approaches, this study is dedicated to offering pragmatic solutions.

Study challenge
Set against the backdrop of technological convergence, this enduring innovation project grapples with the intricacies of economic, societal, and individual challenges. The overarching aim is to transcend theoretical constructs and foster sustainable technological growth, guided by insights from human biology and surgical methodologies.

Methodology
Unfolding across three distinct phases from 2008 to 2023, the study encompasses transformative projects such as Dream City, Geniementor, Genieteams, Big Data Social Matching, The Navigator, Maestro, and BankRabbna. These initiatives explore different realms like data monetization, personalized education, collective innovation, and the digitalization of national and international labor markets.

Results and discussion
At the heart of the study is the introduction of the Digital Sustainable Growth Model (DSGM), heralding an innovative governance approach. The DSGM aspires to cultivate adaptable and intelligent technology to propel socio-economic development in the digital era, drawing parallels with the flexibility and intelligence inherent in the human body.

Outcome and recommendations
Through adeptly addressing various barriers, the study identified a feasible technological solution exemplified by the development of the Growth Model showcased in technologies like Maestro, Fourqan, and BankRabbna. The recommendations underscore the critical importance of fostering international cooperation as an integral aspect of navigating the challenges associated with sustainable growth.
The first high-quality genome assembly and annotation of Lantana camara, an important ornamental plant and a major invasive species
Authors: Parrish S. Brooks , Deng Zhanao 
Published: May 2024

AbstractThis study presents the first annotated, haplotype-resolved, chromosome-scale genome of Lantana camara, a flowering shrub native to Central America and known for its dual role as an ornamental plant and an invasive species. Despite its widespread cultivation and ecological impact, the lack of a high-quality genome has hindered the investigation of traits of both ornamental and invasive. This research bridges the gap in genomic resources for L. camara, which is crucial for both ornamental breeding programs and invasive species management. Whole-genome and transcriptome sequencing were utilized to elucidate the genetic complexity of a diploid L. camara breeding line UF-T48. The genome was assembled de novo using HiFi and Hi-C reads, resulting in two phased genome assemblies with high Benchmarking Universal Single-Copy Orthologs (BUSCO) scores of 97.7%, indicating their quality. All 22 chromosomes were assembled with pseudochromosomes averaging 117 Mb. The assemblies revealed 29 telomeres and an extensive presence of repetitive sequences, primarily long terminal repeat transposable elements. The genome annotation identified 83,775 protein-coding genes, with 83% functionally annotated. In particular, the study mapped 42 anthocyanin and carotenoid candidate gene clusters and 12 herbicide target genes to the assembly, identifying 38 genes spread across the genome that are integral to flower color development and 53 genes for herbicide targeting in L. camara. This comprehensive genomic study not only enhances the understanding of L. camara’s genetic makeup but also sets a precedent for genomic research in the Verbenaceae family, offering a foundation for future studies in plant genetics, conservation, and breeding.
Predicting the Utility of Scientific Articles for Emerging Pandemics Using Their Titles and Natural Language Processing
Authors: Dobolyi Kinga , Hussain Sidra , McPeak Grady 
Published: May 2024

Abstract

Objective:
Not all scientific publications are equally useful to policy-makers tasked with mitigating the spread and impact of diseases, especially at the start of novel epidemics and pandemics. The urgent need for actionable, evidence-based information is paramount, but the nature of preprint and peer-reviewed articles published during these times is often at odds with such goals. For example, a lack of novel results and a focus on opinions rather than evidence were common in coronavirus disease (COVID-19) publications at the start of the pandemic in 2019. In this work, we seek to automatically judge the utility of these scientific articles, from a public health policy making persepctive, using only their titles.

Methods:
Deep learning natural language processing (NLP) models were trained on scientific COVID-19 publication titles from the CORD-19 dataset and evaluated against expert-curated COVID-19 evidence to measure their real-world feasibility at screening these scientific publications in an automated manner.

Results:
This work demonstrates that it is possible to judge the utility of COVID-19 scientific articles, from a public health policy-making perspective, based on their title alone, using deep natural language processing (NLP) models.

Conclusions:
NLP models can be successfully trained on scienticic articles and used by public health experts to triage and filter the hundreds of new daily publications on novel diseases such as COVID-19 at the start of pandemics.
Unique Challenges for WHO Emergency Medical Teams in Ukraine: Field Assessment and Global Recommendations
Authors: Peleg Kobi , Salio Flavio , Burkle Frederick M 
Published: May 2024

Abstract
The purpose of World Health Organization (WHO) Emergency Medical Teams (EMT) is to provide timely, high-quality health services in the immediate aftermath of disasters and during disease outbreaks and other emergencies, including conflict and insecurity.
The war in Ukraine has presented all health-care providers with many unique challenges. This assessment addresses the importance and the complexities of the global spread of the Emergency Medical Team system challenges to meet a wide variety of crises including war, those that are unique to this very complex crisis in Ukraine, and the essential role of educational initiatives, not only in professional development but also in teamwork and cultural integration.
Co-spectral radius for countable equivalence relations
Authors: ABERT MIKLÓS , FRACZYK MIKOLAJ , HAYES BENJAMIN 
Published: May 2024

AbstractWe define the co-spectral radius of inclusions
${\mathcal S}\leq {\mathcal R}$
of discrete, probability- measure-preserving equivalence relations as the sampling exponent of a generating random walk on the ambient relation. The co-spectral radius is analogous to the spectral radius for random walks on
$G/H$
for inclusion
$H\leq G$
of groups. For the proof, we develop a more general version of the 2–3 method we used in another work on the growth of unimodular random rooted trees. We use this method to show that the walk growth exists for an arbitrary unimodular random rooted graph of bounded degree. We also investigate how the co-spectral radius behaves for hyperfinite relations, and discuss new critical exponents for percolation that can be defined using the co-spectral radius.