bluuebunny/crossref_metadata_2025_split huggingface dataset:
Centrosymmetric, non-symmorpic, non-magnetic, spin-orbit coupled layers without Dirac cones
Authors: Damljanovic Vladimir 
Published: September 2023

Abstract
While considering appearance of Dirac cones in spin-orbit coupled two-dimensional materials, S. M. Young and C. L. Kane (Physical Review Letters 115 (2015) 126803) have found that, in the absence of other symmetries, spatial-, time-reversal and vertical glide plane (or horizontal screw rotation) symmetry give four-fold degenerate Dirac point at the time-reversal invariant momentum along the fractional translation. Here we show in which cases these additional symmetries lead to Dirac line instead of Dirac cone in the band structure. We found three centrosymmetric, non-symmorphic layer double groups with line-like degeneracies instead of nodal points. We show that besides these Dirac lines, no other band contacts occur, including the accidental ones. Our results are illustrated with a tight binding example arising from s-orbitals on two atoms in the primitive cell. Finally, we discussed ways towards realistic materials where such features in the electronic dispersion are expected to appear.
Causal effects of gut microbiota on ARDS: a two-sample Mendelian randomization study
Authors: Yang Dongliang , Guo Hongyan , Xia Rui , Wen Chao , Kang Jian , Liu Ying , Yang Suosuo , Ren Yanbo , Wang Hui , Li Jianhua , Li Yuling 
Published: September 2023

Abstract
Background A growing number of studies showed that altered gut microbiota is associated with the pathogenesis of ARDS. However, the potential causal relationship remained unclear. Herein, we adopted a two-sample Mendelian randomization (MR) study to investigate the causal relationship between gut microbiota and ARDS.
Methods We used publicly available genome-wide association study (GWAS) summary data to perform MR analysis. Gut microbiota GWAS were obtained from the MiBioGen study and summary-level GWAS dataset for ARDS were obtained from the IEU OpenGWAS Project. MR-Egger, weighted median, inverse variance weighted (IVW), simple mode and weighted mode methods were used to investigate the causal relationship and IVW method was considered as the primary approach. Additionally, a set of sensitivity analyses, including the MR-Egger intercept test, Cochran’s Q test, and leave-one-out test, were carried out to evaluate the robustness of our findings.
Results Our study identified eight microbial taxa that were causally associated with ARDS risk.
The increased abundance of Phylum Actinobacteria(odds ratio [OR]: 0.22, 95% confidence interval [CI]:0.07-0.68, P=0.008), genus Intestinibacter(OR: 0.40, 95% CI: 0.16–0.98, P=0.045) and genus Eubacterium ruminantium group (OR: 0.52, 95% CI: 0.27–1.00, P=0.049) were negatively associated with the risk of ARDS, while the abundance of genus Victivallis (OR: 2.55, 95% CI: 1.22–5.35, P=0.013), class Erysipelotrichia(OR:3.69 , 95% CI: 1.06-12.82, P=0.040), order Erysipelotrichales(OR:3.69, 95%CI:1.06-12.82,P=0.040), family Erysipelotrichaceae(OR: 3.69, 95% CI: 1.06-12.82, P=0.040), and genus Ruminococcaceae UCG014 (OR:2.92, 95% CI: 1.02-8.34, P=0.044) were positively correlated with the risk of ARDS. Sensitivity analysis revealed no evidence of heterogeneity and pleiotropy.
Conclusions This study is the first to provide suggestive evidence for a causal relationship between certain gut microbiota and the risk of ARDS, providing valuable insights into the pathogenesis of microbiota-mediated ARDS and potential targets for ARDS treatment.
Associations of Various Internet Device Use and Activities with Depression in Chinese Adolescents: Gender and Geographical Differences
Authors: Wang Sasa , Gao Chenzhuo , Yang Xueyan 
Published: September 2023

Abstract

Purpose
Chinese adolescents are increasingly using multiple devices to engage in various Internet activities. This study sought to examine the associations of diverse Internet device use and distinct activities with depression among Chinese adolescents across genders and geographical locations.
Methods
We used data from China Family Panel Studies (CFPS), a national survey conducted in 2020.
Results
Moderate use of different Internet devices posed no risk of depression and could even alleviate it. Posting WeChat Moments frequently was positively linked to depression. Regarding gender differences, mobile device usage time and frequency of watching short videos were associated with higher levels of depression in girls, while opposite associations were observed in boys. Regarding geographical differences, moderate use of mobile devices (1–3 hours per day) and desktop devices (< 1 hour per day), including watching short videos and posting low-frequency on WeChat Moments, were associated with lower risk of depression among rural adolescents. Long-time desktop device use (> 1 hour per day), playing online games, daily online learning, and posting high-frequency on WeChat Moments could increase their risk of depression. In contrast, desktop device use and moderate mobile device use (1–3 hours per day), mainly represented by watching short videos and posting low-frequency on WeChat Moments, were related to depression among adolescents in provincial capitals, prefecture-level cities, or counties. Daily online learning, playing games, and posting WeChat Moments frequently could relieve their depression.
Conclusion
The risk factors for depression related to Internet device use and activity varied between adolescents across genders and geographical locations.
Regional-based approach during anatomy coursework results in better academic performance than systemic-based approach
Authors: Costa Thalles Guilarducci , Campos Mario Hebling , Barros Ana Claudia , Andrade Marilia , Vancini Rodrigo Luiz , Viana Ricardo Borges , Lira Claudio Andre Barbosa 
Published: September 2023

Abstract
Background
The study of human anatomy is of major importance in health sciences, including sports and exercise undergraduate programs. There are some approaches to human anatomy teaching, such as systems-based gross anatomy course and regional-based gross human anatomy course, both ways are highly recommended, but, to the best of our knowledge, no study compared the difference between them on academic performance and attendance to class.
Objective
To evaluate the academic performance of undergraduate students enrolled in human anatomy courses taught by systems-based or regional-based approaches. Methods: The final grade and class attendance of 141 Sport and Exercise Science Undergraduate Students who attended the functional human anatomy of the locomotor apparatus coursework were analyzed. Of the participants enrolled, 70 students were enrolled in the systems-based gross human anatomy approach (SAG) and 71 students were enrolled in the regional-based gross human anatomy approach (SEG). Results: Students enrolled in SEG (7.3 [2.0]) had better academic performance (U = 1804.5, p = 0.005; r = 0.274 [0.09–0.44]) than SAG (6.6 [1.6]). Class attendance was higher in SEG (60 [8]) compared to SAG (60 [7]) (U = 1919.5, p = 0.015; r = 0.228 [0.040–0.399]). Conclusion: SEG leads to better academic performance in the anatomy gross course and higher attendance compared to SAG.
Quantum Audio LSB Steganography with Entanglement-assisted Modulation
Authors: Hao Chaolong , Yang Xukui , Ma Quangong , Qu Dan , Wang Ran , Zhang Tao 
Published: September 2023

Abstract
This paper introduces two novel quantum audio steganography methods that incorporate the logical properties of entangled qubits into the least significant qubit steganography (LSQb) approach. The first method, called entanglement-assisted probability adjustment LSB (EP-LSQb), optimizes the superposition probability of the lowest qubits before embedding the information. This addresses the ‘value-pairing’ problem and improves anti-statistical analysis performance and embedding efficiency. The second method, called quantum phase direct embedding LSB (PD-LSQb), extends traditional LSB steganography by directly embedding the secret speech into the least significant qubit. Quantum circuits are constructed for both methods to demonstrate their feasibility. Theoretical analysis and simulation experiments show that these methods exhibit good imperceptibility (\({\text{PSNR}}>50\)) and embedding efficiency. Particularly, EP-LSQb method enhances the theoretical limit of embedding efficiency when compared to its corresponding classical counterparts. Additionally, due to the inclusion of entangled qubit particles, our methods offer competitive content security and noise robustness, distinguishing them from classical LSB or general LSQb methods and highlighting the unique advantages of quantum approaches.
Ino2, activator of yeast phospholipid biosynthetic genes, interacts with basal transcription factors TFIIA and Bdf1
Authors: Engelhardt Maike , Hintze Stefan , Wendegatz Eva-Carina , Lettow Julia , Schüller Hans-Joachim 
Published: September 2023

Abstract
Binding of general transcription factors TFIID and TFIIA to basal promoters is rate-limiting for transcriptional initiation of eukaryotic protein-coding genes. Consequently, activator proteins interacting with subunits of TFIID and/or TFIIA can drastically increase the rate of initiation events. Yeast transcriptional activator Ino2 interacts with several Taf subunits of TFIID, among them the multifunctional Taf1 protein. In contrast to mammalian Taf1, yeast Taf1 lacks bromodomains which are instead encoded by separate proteins Bdf1 and Bdf2. In this work we show that Bdf1 not only binds to acetylated histone H4 but can also be recruited by Ino2 and unrelated activators such as Gal4, Rap1, Leu3 and Flo8. An activator binding domain was mapped in the N-terminus of Bdf1. Subunits Toa1 and Toa2 of yeast TFIIA directly contact sequences of basal promoters and TFIID subunit TBP but may also mediate the influence of activators. Indeed, Ino2 efficiently binds to two separate structural domains of Toa1, specifically with its N-terminal four-helix bundle structure required for dimerization with Toa2 and its C-terminal β-barrel domain contacting TBP and sequences of the TATA element. These findings complete the functional analysis of yeast general transcription factors Bdf1 and Toa1 and identify them as targets of activator proteins.
The Impact of Hemp Seed Oil on Drug-Drug Interactions: A Comprehensive Review of Potential Mechanisms and Clinical Implications
Authors: Solaimanian Shahabaddin , Rahmani Bita , Shiri-Shahsavar Mohammad Reza 
Published: September 2023

Abstract
Hemp seed oil (HSO), esteemed for its potential health benefits and therapeutic attributes, has garnered substantial attention in recent years. However, the escalating consumption of HSO has engendered apprehensions regarding its potential interactions with pharmaceutical medications, posing the risk of adverse effects or altered drug efficacy. This comprehensive review diligently explores and elucidates the underlying mechanisms through which HSO may interact with a spectrum of drugs, accompanied by an extensive assessment of the clinical ramifications of these interactions. By assiduously unraveling these intricate dynamics, this review equips healthcare professionals and consumers with the knowledge to make judicious decisions concerning the concurrent use of HSO and prescription medications. Moreover, this comprehensive review endeavors to identify and address research gaps, charting a route for future investigations in this critical domain. This review sheds light on HSO's impact on drug-drug interactions (DDIs), delivering invaluable insights for healthcare professionals, researchers, and consumers and fostering the responsible and informed incorporation of this natural product across diverse therapeutic contexts.
Research trends on interventional studies for Mild Cognitive Impairment (MCI): A bibliometric analysis using CiteSpace
Authors: Karim Mani Abdul , Venkatachalam Jonnadula 
Published: September 2023

Abstract
Background
Mild Cognitive Impairment (MCI) is a transitional stage between normal aging and the onset of dementia. The early detection of MCI is essential to avoid certain irreversible brain damage at the end of life. While there have been a variety of preventive interventions used in the past three decades, need to know the current trends is necessary for developing updated preventive modules for MCI.
Objectives
This bibliometric study examines the current trends in interventional research for treating MCI.
Methods
Published records were obtained from the Web of Science Core Collection (WoSCC) for the period of 1989–2023. CiteSpace 6.2.R4 (64-bit) advanced version software was utilized for mapping and bibliometric analysis of this study. Overall, 400 records were retrieved and analyzed using document co-citation analysis (DCA), author co-citation analysis (ACA), institutional, country based, and keyword analysis.
Results
It was found that the publication records were steadily increased in the recent five years (2018–2022) and shows that more than half of the interventional studies (234) were conducted on the recent times. Although United States (US) published highest number of publications (115), Canada secured top position based on burst (3.89) in country wise analysis. In ACA, Petersen RC_2003 secured top position based on citation counts (237), Rapp S_2006 on Burst strength (10.69), Ball K_2006 on Centrality (0.19) and Sigma value (2.00). Through the DCA analysis, clusters such as computerized cognitive training, virtual reality, rhythm training, and dance intervention, were considered to be the indicators of emerging trends.
Application of advanced machine learning algorithms and geospatial techniques for groundwater potential zone mapping in Gambela Plain, Ethiopia
Authors: Seifu Tesema Kebede , Eshetu Kidist Demessie , Woldesenbet Tekalegn Ayele , Alemayehu Taye , Ayenew Tenalem 
Published: September 2023

Abstract

Groundwater availability is one of the key anxieties in most semi-arid regions of Ethiopia. The purpose of this study was to investigate the groundwater potential zone map of the alluvial plain of Gambela. The study applied analytic hierarchy process (AHP) models with four different machine learning algorithms: random forest classifier (RFC), gradient boosting classifier (GBC), decision tree classifier (DTC), and K-neighbor classifier (KNC). The features that are used as predictors include geology, geomorphology, slope, soil, lineament density, drainage density, land use and land cover (LULC), normalized difference vegetation index (NDVI), topographic wetness index (TWI), topographic roughness index (TRI), and rainfall. The final output of the groundwater potential zone was classified as low, moderate, high, and very high potential zones. The authentication through receiver operating curve (ROC) shows 78.2, 93.4, 92.5, 72.4, and 87.7% values of area under the curve (AUC) for AHP, RFC, GBC, DTC, and KNC, respectively. The results show that RFC and GBC are the best groundwater potential zone (GWPZ) map estimator. The study also shows that rainfall and geomorphology are the primary factors influencing the GWPZ. The outcome might promote improved management alternatives in other areas of the country with a comparable climate.
Using the multiple linear regression based on the relative importance metric and data visualization models for assessing the ability of drought indices
Authors: Zarei Abdol Rassoul , Mahmoudi Mohammad Reza , Ghasemi Aryan Yaser 
Published: September 2023

Abstract

In this study, the power of 12 of the most widely used meteorological drought indices was compared. For this purpose, the datasets of 12 stations (from 1967 to 2021) with different climatic conditions in Iran were used. For statistical analysis, multiple linear regression based on the relative importance metric introduced by the Lindeman, Merenda, Gold (MLR-LMG) and data visualization (DV) models were used. In the temporal assessment, the relative importance metrics (RIM) between the drought severity based on the different drought indices and the annual yield of rain-fed winter wheat (AYW) based on the fitted MLR-LMG model was investigated at the annual timescale in the chosen stations. In the spatial evaluation, the RIM between the drought severity based on the different drought indices and the AYW were investigated each year (1967, … , 2021). The results showed that in temporal assessment, the modified standardized precipitation evapotranspiration index (MSPEI) was the most suitable (58.33% of selected stations). Also, in spatial evaluation, the MSPEI and Z-score were the most efficient drought indices (65.45% and 27.27% of the years, respectively). The validation results of the fitted MLR-LMG models showed that the models were trustworthy in all stations and all years.
The Impact of Physical Activity Intensity on the Dynamic Progression of Cardiometabolic Multimorbidity: Prospective Cohort Study Using UK Biobank Data
Authors: Liu Bao-Peng , Zhu Jia-Hui , Wan Li-Peng , Zhao Zhen-Yu , Wang Xinting , Jia Cun-Xian 
Published: September 2023

Background
Although many studies have reported on the associations between the amount of physical activity (PA) and the transitions of cardiometabolic multimorbidity (CMM), the evidence for PA intensity has not been fully evaluated.

Objective
This study aimed to explore the impact of PA intensity on the dynamic progression of CMM.

Methods
The prospective cohort of this study using data from the UK Biobank included 359,773 participants aged 37-73 years who were recruited from 22 centers between 2006 and 2010. The diagnoses of CMM, which included the copresence of type 2 diabetes (T2D), ischemic heart disease, and stroke, were obtained from first occurrence fields provided by the UK Biobank, which included data from primary care, hospital inpatient record, self-reported medical condition, and death registers. The PA intensity was assessed by the proportion of vigorous PA (VPA) to moderate to vigorous PA (MVPA). Multistate models were used to evaluate the effect of PA intensity on the dynamic progression of CMM. The first model (model A) included 5 transitions, namely free of cardiometabolic disease (CMD) to first occurrence of CMD (FCMD), free of CMD to death, FCMD to CMM, FCMD to mortality, and CMM to mortality. The other model (model B) used specific CMD, namely T2D, ischemic heart disease, and stroke, instead of FCMD and included 11 transitions in this study.

Results
The mean age of the included participants (N=359,773) was 55.82 (SD 8.12) years at baseline, and 54.55% (196,271/359,773) of the participants were female. Compared with the participants with no VPA, participants with intensity levels of >0.75 to <1 for VPA to MVPA had a 13% and 27% lower risk of transition from free of CMD to FCMD (hazard ratio [HR] 0.87, 95% CI 0.83-0.91) and mortality (HR 0.73, 95% CI 0.66-0.79) in model A, respectively. The HR for the participants with no moderate PA was 0.82 (95% CI 0.73-0.92) compared with no VPA. There was a substantially protective effect of higher PA intensity on the transitions from free of CMD to T2D and from T2D to mortality, which reveals the importance of PA intensity for the transitions of T2D. More PA and greater intensity had a synergistic effect on decreasing the risk of the transitions from free of CMD to FCMD and mortality. Male participants, younger adults, adults with a higher BMI, current or previous smokers, and excessive alcohol drinkers could obtain more benefits from higher PA intensity for the lower risk of at least 1 transition from free of CMD, then to CMM, and finally to mortality.

Conclusions
This study suggests that higher PA intensity is an effective measure for preventing CMM and mortality in the early period of CMM development. Relevant interventions related to higher PA intensity should be conducted.
The Proposal for an International Anti-Corruption Court: What Law Should the Court Apply?
Authors: Moiseienko Anton 
Published: September 2023

In 2014, US federal judge Mark Wolf proposed the establishment of an International Anti-Corruption Court (IACC) to redress the impunity enjoyed by corrupt officials in some countries. An essential aspect of the IACC’s functioning, should the proposal ever take off, would concern the substantive law that it applies. Since no international court or tribunal has yet adjudicated the criminal offences of corruption, one cannot learn directly from current international experience, but must reason from first principles instead. In dealing with the overarching question of what law the IACC should apply, one needs to take into account various factors, which this article considers in turn, including: (a) the objectives of the IACC; (b) the (incomplete) international consensus on the definition of corruption; (c) the effect of prosecuting money laundering offences on the IACC’s jurisdictional reach; (d) the risks of deferring to domestic laws of the state where the alleged offence took place; and (e) the implications of the principle of legality, often expressed in the Latin maxims nullum crimen sine lege and nulla poena sine lege.
Prosecuting Corruption Crimes before an International Court: Whither Immunity Rules?
Authors: Van Alebeek Rosanne 
Published: September 2023

This article argues that an international anti-corruption court has to respect the functional and personal immunity of officials of states that are not a party to it. If an exception applies to immunity before international courts that prosecute international crimes, this exception does not extend to a court that would prosecute transnational crimes. Since personal immunity rules stand in the way of prosecution of (certain, high-level) kleptocrats in foreign national courts, these rules will also hamper the exercise of jurisdiction by an international court. The article further takes issue with the oftheard proposition that corruption is a purely private act that escapes the reach of the functional immunity rule, concluding that functional immunity considerations require closer study in the context of the plans to prosecute corruption crimes at the international level.
Narcissism, Communion, and Perceptions of Accounting Information Source Reliability
Authors: Johnson Eric N. , Reckers Philip M. J. , Festa Mackenzie M. 
Published: September 2023

ABSTRACT
This study demonstrates that perceived accounting information reliability is biased by the information user’s assessments of the information provider’s narcissism as well as the user’s own narcissism levels. We examine the specific subtypes of user narcissism driving these biases. Ninety-nine business professionals acting as information users read a simulated interview with an information provider (a corporate accountant) focused on a possible revenue misstatement and then assessed the perceived reliability of the information. We also examined the influence of perceived provider communion on reliability assessments. Consistent with narcissistic tolerance, information reliability assessments were higher when both the user and provider were higher in agentic narcissism. Consistent with narcissistic hypocrisy, assessments were lower when both the perceiver and provider were higher in antagonistic narcissism. Also, perceived provider communion was positively associated with reliability assessments. We discuss the theoretical and practical significance of these findings for future management accounting research and practice.
Data Availability: Data are available from the first author.
JEL Classifications: M41.