bluuebunny/crossref_metadata_2025_split huggingface dataset:
Does Local Culture Affect CSR Transparency? The Effect of Corruption Culture on CSR Decoupling
Authors: Majeed Muhammad Ansar , Xie Shilei , Ahsan Tanveer , Tauni Muhammad Zubair 
Published: June 2024

Synopsis The research problem This study examines the association between corruption culture and corporate social responsibility (CSR) decoupling. Motivation Only a handful of studies have examined the effect of local culture on organizational outcomes. Recent studies shed light on the factors contributing to CSR decoupling, highlighting the value of understanding this disparity; however, few studies have documented the role of societal factors that contribute to this gap. Our study seeks to fill this gap by documenting that corruption culture increases dishonest behavior, reduces social stigma and the likelihood of punishment, promotes managerial rent-seeking, and ultimately affects CSR decoupling. The hypothesis Corruption culture is associated with higher CSR decoupling. Target population We used a sample of Chinese A-listed firms from 2010 to 2020. Adopted methodology We used ordinary least squares, path analysis, two-stage least square (2SLS) regression, generalized method of moment (GMM), and multiperiod difference in difference. Analyses By using 5,428 firm–year observations, this study examined the association between corruption culture and CSR decoupling. We employed robustness and mechanism tests to corroborate the findings and proposed mechanisms. Finally, we conducted heterogeneity tests to assess the varied impact of corporate governance, state ownership, and CEO attributes on the relationship between corruption culture and CSR decoupling. Findings We documented a positive relationship between corruption culture and CSR decoupling. We also found a less pronounced effect of corruption on CSR decoupling among firms with extensive media coverage and investments from qualified foreign institutional investors. Furthermore, the effect of corruption on CSR decoupling was particularly pronounced for private firms. We also observed that the effect of a corruption culture was especially weak for firms with chief executive officers who have international experience, are nonpolitically connected, and are female.
Observable Atrial and Ventricular Fibrillation Episode Durations Are Conformant With a Power Law Based on System Size and Spatial Synchronization
Authors: Dharmaprani Dhani , Tiver Kathryn , Salari Shahrbabaki Sobhan , Jenkins Evan V. , Chapman Darius , Strong Campbell , Quah Jing X. , Tonchev Ivaylo , O’Loughlin Luke , Mitchell Lewis , Tung Matthew , Ahmad Waheed , Stoyanov Nik , Aguilar Martin , Niederer Steven A. , Roney Caroline H. , Nash Martyn P. , Clayton Richard H. , Nattel Stanley , Ganesan Anand N. 
Published: June 2024

BACKGROUND:

Atrial fibrillation (AF) and ventricular fibrillation (VF) episodes exhibit varying durations, with some spontaneously ending quickly while others persist. A quantitative framework to explain episode durations remains elusive. We hypothesized that observable self-terminating AF and VF episode lengths, whereby durations are known, would conform with a power law based on the ratio of system size and correlation length (

L

/

ξ

)

.

METHODS:

Using data from computer simulations (2-dimensional sheet and 3-dimensional left-atrial), human ischemic VF recordings (256-electrode sock, n=12 patients), and human AF recordings (64-electrode basket-catheter, n=9 patients; 16-electrode high definition-grid catheter, n=42 patients), conformance with a power law was assessed using the Akaike information criterion, Bayesian information criterion, coefficient of determination (R
2
, significance=
P
<0.05) and maximum likelihood estimation. We analyzed fibrillatory episode durations and

L

/

ξ

, computed by taking the ratio between system size (

L

, chamber/simulation size) and correlation length (xi, estimated from pairwise correlation coefficients over electrode/node distance).

RESULTS:

In all computer models, the relationship between episode durations and

L

/

ξ

was conformant with a power law (Aliev-Panfilov R
2
: 0.90,
P
<0.001; Courtemanche R
2
: 0.91,
P
<0.001; Luo-Rudy R
2
: 0.61,
P
<0.001). Observable clinical AF/VF durations were also conformant with a power law relationship (VF R
2
: 0.86,
P
<0.001; AF basket R
2
: 0.91,
P
<0.001; AF grid R
2
: 0.92,
P
<0.001).

L

/

ξ

also differentiated between self-terminating and sustained episodes of AF and VF (
P
<0.001; all systems), as well as paroxysmal versus persistent AF (
P
<0.001). In comparison, other electrogram metrics showed no statistically significant differences (dominant frequency, Shannon Entropy, mean voltage, peak-peak voltage;
P
>0.05).

CONCLUSIONS:
Observable fibrillation episode durations are conformant with a power law based on system size and correlation length.
Association of Atrial Fibrillation Burden and Mortality Among Patients With Cardiac Implantable Electronic Devices
Authors: Peigh Graham , Zhou Jiani , Rosemas Sarah C. , Roberts Anthony I. , Longacre Colleen , Trinh Katherine , Nayak Tanvi , Soderlund Dana , Passman Rod S. 
Published: June 2024

BACKGROUND:
Current estimates of atrial fibrillation (AF)–associated mortality rely on claims- or clinical-derived diagnoses of AF, limit AF to a binary entity, or are confounded by comorbidities. The objective of the present study is to assess the association between device-recognized AF and mortality among patients with cardiac implantable electronic devices capable of sensitive and continuous atrial arrhythmia detection. Secondary outcomes include relative mortality among cohorts with no AF, paroxysmal AF, persistent AF, and permanent AF.

METHODS:
Using the deidentified Optum Clinformatics US claims database (2015 to 2020) linked to the Medtronic CareLink database, we identified individuals with a cardiac implantable electronic device who transmitted data ≥6 months after implantation. AF burden was assessed during the first 6 months after implantation (baseline period). Subsequent mortality, assessed from claims data, was compared between patients with and without AF, with adjustment for age, geographic region, insurance type, Charlson Comorbidity Index, and implantation year.

RESULTS:

Of 21 391 patients (age, 72.9±10.9 years; 56.3% male) analyzed, 7798 (36.5%) had device-recognized AF. During a mean of 22.4±12.9 months (median, 20.1 [12.8–29.7] months) of follow-up, the overall incidence of mortality was 13.5%. Patients with AF had higher adjusted all-cause mortality than patients without AF (hazard ratio, 1.29 [95% CI, 1.20–1.39];
P
<0.001). Among those with AF, patients with nonparoxysmal AF had the greatest risk of mortality (persistent AF versus paroxysmal AF: hazard ratio, 1.36 [95% CI, 1.18–1.58];
P
<.001; permanent AF versus paroxysmal AF: hazard ratio, 1.23 [95% CI, 1.14–1.34];
P
<.001).

CONCLUSIONS:
After adjustment for potential confounding factors, the presence of AF was associated with higher mortality in our cohort of patients with cardiac implantable electronic devices. Among those with AF, nonparoxysmal AF was associated with the greatest risk of mortality.
Needing: An Active Inference Process for Physiological Motivation
Authors: Bosulu Juvenal , Pezzulo Giovanni , Hétu Sébastien 
Published: June 2024

Abstract
Need states are internal states that arise from deprivation of crucial biological stimuli. They direct motivation, independently of external learning. Despite their separate origin, they interact with reward processing systems that respond to external stimuli. This article aims to illuminate the functioning of the needing system through the lens of active inference, a framework for understanding brain and cognition. We propose that need states exert a pervasive influence on the organism, which in active inference terms translates to a “pervasive surprise”—a measure of the distance from the organism's preferred state. Crucially, we define needing as an active inference process that seeks to reduce this pervasive surprise. Through a series of simulations, we demonstrate that our proposal successfully captures key aspects of the phenomenology and neurobiology of needing. We show that as need states increase, the tendency to occupy preferred states strengthens, independently of external reward prediction. Furthermore, need states increase the precision of states (stimuli and actions) leading to preferred states, suggesting their ability to amplify the value of reward cues and rewards themselves. Collectively, our model and simulations provide valuable insights into the directional and underlying influence of need states, revealing how this influence amplifies the wanting or liking associated with relevant stimuli.
Mechanical and Thermal Forcing for Upslope Flows and Cumulus Convection over the Sierras de Córdoba
Authors: Lareau Neil P. , Knopp Tracen , Kirshbaum Daniel J. 
Published: June 2024

Abstract
The upslope flow processes affecting the vertical extent of orographic cumulus convection are examined using observations from the Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign. Specifically, clear air returns from the U.S. Department of Energy (DOE) second-generation C-band scanning Atmospheric Radiation Measurement (ARM) precipitation radar (CSAPR2) are used to characterize the structure and variability of the ridge-normal (i.e., up/downslope) flow components, which transport mass to the crest of Argentina’s Sierras de Córdoba and contribute to convective initiation. Data are compiled for the entire CACTI period (October–April), including days with clear skies, shallow cumuli, cumulus congestus, and deep convection. To examine shared variability among >70 000 radar scans, we use (i) a principal component analysis (PCA) to isolate modes of variability in the upslope flow and (ii) composite analysis based on convective outcomes, determined from GOES-16 satellite observations. These data are contextualized with observed surface sensible heat fluxes, thermodynamic profiles, and synoptic-scale analysis. Results indicate distinct thermally and mechanically forced upslope flow modes, modulated by diurnal heating and synoptic-scale variations, respectively. In some instances, there is a superposition of thermal and mechanical forcing, yielding either deeper or shallower upslope flow. The composite analyses based on satellite data show that successively deeper convective outcomes are associated with successively deeper upslope flow layers that more readily transport mass to the ridge crest in conjunction with lower lifting condensation levels, facilitating convective initiation. These results help to isolate the forcing mechanisms for orographic convection and thus provide a foundation for parameterizing orographic convective processes in coarse resolution models.
A specific super-enhancer actuated by berberine regulates EGFR-mediated RAS–RAF1–MEK1/2–ERK1/2 pathway to induce nasopharyngeal carcinoma autophagy
Authors: Wu Yao , Jia Qunying , Tang Qi , Chen Lin , Deng Hongyu , He Yingchun , Tang Faqing 
Published: June 2024

AbstractNasopharyngeal carcinoma (NPC), primarily found in the southern region of China, is a malignant tumor known for its highly metastatic characteristics. The high mortality rates caused by the distant metastasis and disease recurrence remain unsolved clinical problems. In clinic, the berberine (BBR) compound has widely been in NPC therapy to decrease metastasis and disease recurrence, and BBR was documented as a main component with multiple anti-NPC effects. However, the mechanism by which BBR inhibits the growth and metastasis of nasopharyngeal carcinoma remains elusive. Herein, we show that BBR effectively inhibits the growth, metastasis, and invasion of NPC via inducing a specific super enhancer (SE). From a mechanistic perspective, the RNA sequencing (RNA-seq) results suggest that the RAS–RAF1–MEK1/2–ERK1/2 signaling pathway, activated by the epidermal growth factor receptor (EGFR), plays a significant role in BBR-induced autophagy in NPC. Blockading of autophagy markedly attenuated the effect of BBR-mediated NPC cell growth and metastasis inhibition. Notably, BBR increased the expression of EGFR by transcription, and knockout of EGFR significantly inhibited BBR-induced microtubule associated protein 1 light chain 3 (LC3)-II increase and p62 inhibition, proposing that EGFR plays a pivotal role in BBR-induced autophagy in NPC. Chromatin immunoprecipitation sequencing (ChIP-seq) results found that a specific SE existed only in NPC cells treated with BBR. This SE knockdown markedly repressed the expression of EGFR and phosphorylated EGFR (EGFR-p) and reversed the inhibition of BBR on NPC proliferation, metastasis, and invasion. Furthermore, BBR-specific SE may trigger autophagy by enhancing EGFR gene transcription, thereby upregulating the RAS–RAF1–MEK1/2–ERK1/2 signaling pathway. In addition, in vivo BBR effectively inhibited NPC cells growth and metastasis, following an increase LC3 and EGFR and a decrease p62. Collectively, this study identifies a novel BBR-special SE and established a new epigenetic paradigm, by which BBR regulates autophagy, inhibits proliferation, metastasis, and invasion. It provides a rationale for BBR application as the treatment regime in NPC therapy in future.
The black honey bee genome: insights on specific structural elements and a first step towards pangenomes
Authors: Eynard Sonia E. , Klopp Christophe , Canale-Tabet Kamila , Marande William , Vandecasteele Céline , Roques Céline , Donnadieu Cécile , Boone Quentin , Servin Bertrand , Vignal Alain 
Published: June 2024

Abstract
Background
The honey bee reference genome, HAv3.1, was produced from a commercial line sample that was thought to have a largely dominant Apis mellifera ligustica genetic background. Apis mellifera mellifera, often referred to as the black bee, has a separate evolutionary history and is the original type in western and northern Europe. Growing interest in this subspecies for conservation and non-professional apicultural practices, together with the necessity of deciphering genome backgrounds in hybrids, triggered the necessity for a specific genome assembly. Moreover, having several high-quality genomes is becoming key for taking structural variations into account in pangenome analyses.

Results
Pacific Bioscience technology long reads were produced from a single haploid black bee drone. Scaffolding contigs into chromosomes was done using a high-density genetic map. This allowed for re-estimation of the recombination rate, which was over-estimated in some previous studies due to mis-assemblies, which resulted in spurious inversions in the older reference genomes. The sequence continuity obtained was very high and the only limit towards continuous chromosome-wide sequences seemed to be due to tandem repeat arrays that were usually longer than 10 kb and that belonged to two main families, the 371 and 91 bp repeats, causing problems in the assembly process due to high internal sequence similarity. Our assembly was used together with the reference genome to genotype two structural variants by a pangenome graph approach with Graphtyper2. Genotypes obtained were either correct or missing, when compared to an approach based on sequencing depth analysis, and genotyping rates were 89 and 76% for the two variants.

Conclusions
Our new assembly for the Apis mellifera mellifera honey bee subspecies demonstrates the utility of multiple high-quality genomes for the genotyping of structural variants, with a test case on two insertions and deletions. It will therefore be an invaluable resource for future studies, for instance by including structural variants in GWAS. Having used a single haploid drone for sequencing allowed a refined analysis of very large tandem repeat arrays, raising the question of their function in the genome. High quality genome assemblies for multiple subspecies such as presented here, are crucial for emerging projects using pangenomes.
Immune-mediated inflammatory diseases and periodontal disease: a bidirectional two-sample mendelian randomization study
Authors: Zhang Rui , Ma Hairong , Wang Dan , Zhang Hualin 
Published: June 2024

Abstract
Background
Previous observational studies have shown a bidirectional association between immune-mediated inflammatory disorders (IMID) and periodontal disease. However, evidence regarding the causal role of IMID and periodontal disease is still lacking. Therefore, we conducted a bidirectional two-sample Mendelian randomization (MR) study to uncover the potential genetic causal effects between IMID and periodontal disease.

Methods
Bidirectional two-sample MR analysis was employed. Data for ten IMIDs were sourced from genome-wide association studies (GWAS) conducted by the FinnGen Consortium (range from 1023 to 36321 cases) and UK Biobank (UKB) (range from 150 to 17574 cases). Furthermore, GWAS data for periodontal disease were obtained from the FinnGen Consortium (87497 cases), UKB (458 cases), and Gene Lifestyle Interactions in Dental Endpoints (GLIDE) consortium (17,353 periodontitis cases). Subsequently, the causal relationships were analyzed by random effects inverse variance weighting, weighted median, and MR-Egger. Sensitivity analyses were performed using the Cochrane Q test, funnel plot, and Mr-Egger intercept test to ensure robustness. Eventually, replication analysis and meta-analysis across different databases were carried out.

Results
Systemic lupus erythematosus (SLE) [IVW: OR = 1.079 (95% CI: 1.032–1.128) and P < 0.001], Sjogren syndrome [IVW: OR = 1.082 (95% CI: 1.012–1.157) and P = 0.022] and hypothyroidism [IVW: OR = 1.52 (95% CI: 1.13–2.04) and P = 0.005] may increase the risk of periodontal disease. In addition, periodontal disease may reduce the risk of SLE [IVW: OR = 0.8079 (95% CI: 0.6764–0.9650) and P = 0.019] and hyperthyroidism [IVW: OR = 5.59*10–9 (95% CI: 1.43*10–15-2.18*10–2) and P = 0.014]. Meta-analysis indicated a causal correlation between SLE and an increased risk of periodontal disease: [OR = 1.08 (95% CI: 1.03–1.13), P = 0.0009]. No significant evidence suggests bilateral causal relationships between other IMIDs and periodontal disease. No significant estimation of heterogeneity or pleiotropy is detected.

Conclusions
Our study has confirmed a genetic causal relationship between IMIDs and periodontal disease, thereby unveiling novel potential mechanisms underlying IMIDs and periodontal disease. This discovery is promising in fostering interdisciplinary collaboration between clinicians and stomatologists to facilitate appropriate and precise screening, prevention, and early treatment of IMIDs and periodontal disease.
Metabolomics analysis of the lactobacillus plantarum ATCC 14917 response to antibiotic stress
Authors: Zhong Yilin , Guo Juan , Zheng Yu , Lin Huale , Su Yubin 
Published: June 2024

Abstract
Background
Lactobacillus plantarum has been found to play a significant role in maintaining the balance of intestinal flora in the human gut. However, it is sensitive to commonly used antibiotics and is often incidentally killed during treatment. We attempted to identify a means to protect L. plantarum ATCC14917 from the metabolic changes caused by two commonly used antibiotics, ampicillin, and doxycycline. We examined the metabolic changes under ampicillin and doxycycline treatment and assessed the protective effects of adding key exogenous metabolites.

Results
Using metabolomics, we found that under the stress of ampicillin or doxycycline, L. plantarum ATCC14917 exhibited reduced metabolic activity, with purine metabolism a key metabolic pathway involved in this change. We then screened the key biomarkers in this metabolic pathway, guanine and adenosine diphosphate (ADP). The exogenous addition of each of these two metabolites significantly reduced the lethality of ampicillin and doxycycline on L. plantarum ATCC14917. Because purine metabolism is closely related to the production of reactive oxygen species (ROS), the results showed that the addition of guanine or ADP reduced intracellular ROS levels in L. plantarum ATCC14917. Moreover, the killing effects of ampicillin and doxycycline on L. plantarum ATCC14917 were restored by the addition of a ROS accelerator in the presence of guanine or ADP.

Conclusions
The metabolic changes of L. plantarum ATCC14917 under antibiotic treatments were determined. Moreover, the metabolome information that was elucidated can be used to help L. plantarum cope with adverse stress, which will help probiotics become less vulnerable to antibiotics during clinical treatment.
Living in mangroves: a syntrophic scenario unveiling a resourceful microbiome
Authors: Laux Marcele , Ciapina Luciane Prioli , de Carvalho Fabíola Marques , Gerber Alexandra Lehmkuhl , Guimarães Ana Paula C. , Apolinário Moacir , Paes Jorge Eduardo Santos , Jonck Célio Roberto , de Vasconcelos Ana Tereza R. 
Published: June 2024

Abstract
Background
Mangroves are complex and dynamic coastal ecosystems under frequent fluctuations in physicochemical conditions related to the tidal regime. The frequent variation in organic matter concentration, nutrients, and oxygen availability, among other factors, drives the microbial community composition, favoring syntrophic populations harboring a rich and diverse, stress-driven metabolism. Mangroves are known for their carbon sequestration capability, and their complex and integrated metabolic activity is essential to global biogeochemical cycling. Here, we present a metabolic reconstruction based on the genomic functional capability and flux profile between sympatric MAGs co-assembled from a tropical restored mangrove.

Results
Eleven MAGs were assigned to six Bacteria phyla, all distantly related to the available reference genomes. The metabolic reconstruction showed several potential coupling points and shortcuts between complementary routes and predicted syntrophic interactions. Two metabolic scenarios were drawn: a heterotrophic scenario with plenty of carbon sources and an autotrophic scenario with limited carbon sources or under inhibitory conditions. The sulfur cycle was dominant over methane and the major pathways identified were acetate oxidation coupled to sulfate reduction, heterotrophic acetogenesis coupled to carbohydrate catabolism, ethanol production and carbon fixation. Interestingly, several gene sets and metabolic routes similar to those described for wastewater and organic effluent treatment processes were identified.

Conclusion
The mangrove microbial community metabolic reconstruction reflected the flexibility required to survive in fluctuating environments as the microhabitats created by the tidal regime in mangrove sediments. The metabolic components related to wastewater and organic effluent treatment processes identified strongly suggest that mangrove microbial communities could represent a resourceful microbial model for biotechnological applications that occur naturally in the environment.