bluuebunny/crossref_metadata_2025_split huggingface dataset:
New rules for sharing benefits from the use of digital sequence information
Authors: Halewood Michael 
Published: April 2024

AbstractIt is important for scientists engaged in genome editing to appreciate that the international community is currently engaged in highly dynamic negotiations to develop new rules for sharing benefits derived from the use of digital sequence information/genomic sequence data (DSI/GSD). Over the course of 10 years, this issue has grown in importance to the point where it is a key sticking point in at least four different United Nations fora. This paper examines why benefit-sharing from the use of DSI/GSD has become such an important topic, provides and overview of the current state of negotiations in key UN fora, and considers different potential outcomes.
Constacyclic locally recoverable codes from their duals
Authors: Zengin Rabia , Köroǧlu Mehmet Emin 
Published: April 2024

AbstractA code has locality r if a symbol in any coordinate of a codeword in the code can be recovered by accessing the value of at most r other coordinates. Such codes are called locally recoverable codes (LRCs for short). Since LRCs can recover a failed node by accessing the minimum number of the surviving nodes, these codes are used in distributed storage systems such as Microsoft Azure. In this paper, constacyclic LRCs are obtained from their parity-check polynomials. Constacyclic codes with locality $$r\le 2$$

r
≤
2

and dimension 2 are obtained and a sufficient and necessary condition for these codes to have locality 1 is given. Then, the construction is generalized. Distance optimal constacyclic LRCs with distance 2 are obtained. Also, constacyclic codes with locality 1 are constructed. They may be so useful in practice thanks to their minimum locality. Constacyclic codes whose locality is equal to their dimension are given. Furthermore, constacyclic LRCs are obtained from cyclotomic cosets.
Hermeneutical Injustice and Bisexuality: Toward New Conceptual Tools
Authors: Boncompagni Anna 
Published: April 2024

Abstract
The starting point of this paper is a clarification of the forms that hermeneutical injustice takes for bisexual individuals. While it is often thought that bisexuals do not need special protections or politics because they easily “pass” for straight and thus enjoy so-called hetero privilege, this precise situation is a source of oppression, silencing, erasure, and discrimination for many of them within both straight and gay environments. Bi-invisibility, bi-erasure, and persistent negative stereotypes contribute to specific forms of hermeneutical injustice for this segment of the population. Reflection on these forms, however, as well as reflection on bisexual identity, highlights some problematic aspects connected to the metaphor of hermeneutical “gaps” and the underlying theoretical model that are often used or assumed in research on epistemic injustice. With the aim of clarifying and responding to such difficulties, I introduce Wittgenstein's notion of hinges as a conceptual tool to better understand these phenomena. The case of bisexuality shows that seeing hermeneutical injustice in the light of the metaphor of hinges, instead of that of gaps, helps better grasp its features, its causes, and the forms that it can assume.
Exploring the Nexus of Integration and Discrimination: A Comprehensive Study of Racial Dynamics Faced by Nigerian Immigrants in the United States
Authors: Jack-Vickers Esther C. 
Published: April 2024

AbstractThis study examines racial discrimination faced by Black immigrants in the US, focusing on its impacts on well-being, social integration, and intergroup relations. It highlights a gap in understanding African immigrants' discrimination experiences despite documented hate crimes. The research aims to understand how Nigerian immigrants are affected by integration into US society. Using a mixed methodology with surveys and interviews, the study reveals varied correlations between integration factors and discrimination experiences. It provides nuanced insights into how integration, national identity, and social networks influence Nigerian immigrants' relationships and encounters with discrimination in the US, contributing valuable perspectives on integration-discrimination dynamics.
Paraphilic fantasies and behavior in attention deficit/hyperactivity disorder and their association with hypersexuality
Authors: Turner Daniel , Gregório Hertz Priscilla , Biedermann Laura , Barra Steffen , Retz Wolfgang 
Published: April 2024

AbstractPrevious research has found some peculiarities in sexual functioning of adults with attention deficit/hyperactivity disorder (ADHD). Using a set of questionnaires that had to be answered online, we assessed the prevalence of paraphilic fantasies and behaviors in a sample of 160 adults with ADHD in comparison to 75 adults without ADHD and evaluated the association between paraphilias and hypersexuality in the ADHD group. Both groups reported high rates of paraphilic fantasies and behaviors. ADHD individuals were more likely to report about very sexually arousing paraphilic fantasies (ADHD: 58.2% vs. non-ADHD: 40.5%; χ2 = 6.323, p = 0.01) and behaviors (ADHD: 44.9% vs. non-ADHD: 28.4%; χ2 = 5.774, p = 0.02). Furthermore, ADHD individuals reported on average about more very sexually arousing paraphilic behaviors compared to non-ADHD individuals (ADHD: M = 1.28, SD = 0.10 vs. non-ADHD: M = 0.81, SD = 0.09; T = 2.68, p < 0.01). Furthermore, in ADHD individuals both very sexually arousing paraphilic interests in masturbation fantasies (r(158) = 0.17, p = 0.03) and in sexual behaviors (r(158) =0.19, p = 0.02) showed a significant correlation with hypersexuality. In non-ADHD individuals no such significant correlation could be found. Altogether, it can be concluded that individuals with ADHD seem to be more prone to develop and act out paraphilic sexuality than those without ADHD, however, found differences were rather small. The results of the present study add to the current trend to depathologize paraphilic sexuality in the general as well as in clinical populations.
Identifying characteristics and clinical conditions associated with hand grip strength in adults: the Project Baseline Health Study
Authors: Taylor Kenneth A. , Carroll Megan K. , Short Sarah A. , Goode Adam P. 
Published: April 2024

AbstractLow hand grip strength (HGS) is associated with several conditions, but its value outside of the older adult population is unclear. We sought to identify the most salient factors associated with HGS from an extensive list of candidate variables while stratifying by age and sex. We used data from the initial visit from the Project Baseline Health Study (N = 2502) which captured detailed demographic, occupational, social, lifestyle, and clinical data. We applied MI-LASSO using group methods to determine variables most associated with HGS out of 175 candidate variables. We performed analyses separately for sex and age (< 65 vs. ≥ 65 years). Race was associated with HGS to varying degrees across groups. Osteoporosis and osteopenia were negatively associated with HGS in female study participants. Immune cell counts were negatively associated with HGS for male participants ≥ 65 (neutrophils) and female participants (≥ 65, monocytes; < 65, lymphocytes). Most findings were age and/or sex group-specific; few were common across all groups. Several of the variables associated with HGS in each group were novel, while others corroborate previous research. Our results support HGS as a useful indicator of a variety of clinical characteristics; however, its utility varies by age and sex.
Quantifying the impact of homophily and influencer networks on song popularity prediction
Authors: Reisz Niklas , Servedio Vito D. P. , Thurner Stefan 
Published: April 2024

AbstractForecasting the popularity of new songs has become a standard practice in the music industry and provides a comparative advantage for those that do it well. Considerable efforts were put into machine learning prediction models for that purpose. It is known that in these models, relevant predictive parameters include intrinsic lyrical and acoustic characteristics, extrinsic factors (e.g., publisher influence and support), and the previous popularity of the artists. Much less attention was given to the social components of the spreading of song popularity. Recently, evidence for musical homophily—the tendency that people who are socially linked also share musical tastes—was reported. Here we determine how musical homophily can be used to predict song popularity. The study is based on an extensive dataset from the last.fm online music platform from which we can extract social links between listeners and their listening patterns. To quantify the importance of networks in the spreading of songs that eventually determines their popularity, we use musical homophily to design a predictive influence parameter and show that its inclusion in state-of-the-art machine learning models enhances predictions of song popularity. The influence parameter improves the prediction precision (TP/(TP $$+$$
+
FP)) by about 50% from 0.14 to 0.21, indicating that the social component in the spreading of music plays at least as significant a role as the artist’s popularity or the impact of the genre.
Intake of different types of seafood and meat and risk of type 2 diabetes in women: a prospective study supported by a dietary intervention in mice
Authors: Myrmel Lene S. , Øyen Jannike , Brantsæter Anne Lise , Fjære Even , Haugvaldstad Karen , Birkeland Kåre I. , Nygård Ottar , Kristiansen Karsten , Egeland Grace M. , Madsen Lise 
Published: April 2024

AbstractDetailed knowledge regarding the associations between intake of different types of seafood and meat and the risk of type 2 diabetes (T2D), and insight into possible mechanisms are warranted. In this study we aimed to evaluate the associations between intake of different types of seafood and meat and the subsequent risk of T2D using the Norwegian Mother, Father, and Child Cohort Study (MoBa), and furthermore, by using a mouse model to gain further insight into possible molecular mechanisms contributing to the associated metabolic changes. Women in MoBa who were free of pharmacologically treated diabetes at baseline (n = 60,777) were prospectively evaluated for incident T2D, identified on the basis of medication usages > 90 days after delivery, ascertained by the Norwegian Prescription Database. Dietary intake was obtained with a validated 255-item food frequency questionnaire which assessed habitual diet during the first 4–5 months of pregnancy. Metabolic phenotypes and plasma metabolome were investigated in female mice fed isocaloric diets with different types of seafood and meat mimicking the dietary intake in the human cohort. During maximum 10-year and mean (SD) 7.2 (1.6) years follow-up time, 681 (1.1%) women developed pharmacologically treated T2D. All statistical models identified a higher risk of T2D with increased shellfish intake, whereas no associations were observed for total seafood, fatty fish, total meat and red meat in the adjusted models. In mice, the shellfish-based western diet induced reduced glucose tolerance and insulin secretion compared to the diet based on lean fish, and we identified a number of metabolites elevated in plasma from shellfish-fed mice that correlated with glucose intolerance. Mice fed a western diet based on meat also exhibited reduced glucose tolerance in comparison to lean fish fed mice, whereas mice fed fatty fish, total seafood or red meat did not differ from lean fish fed mice. We observed a diet-specific metabolic signature in plasma demonstrating five distinct metabolite profiles in mice fed shellfish, fatty fish, total seafood/lean fish, a mixed diet and meat. In conclusion, these findings demonstrate that different types of seafood have different outcome on T2D risk. In women, intake of shellfish was associated with higher risk of T2D. In female mice, a shellfish enriched diet reduced glucose tolerance and altered the abundance of several distinct plasma metabolites correlating with glucose tolerance.
Large-scale research on durability test cycle of fuel cell system based on CATC
Authors: Lan Hao , Hao Dong , Su Zhiyang , Zheng Tianlei , Liu Shaohui , Ma Jicheng , He Yuntang , Gao Lei , Wang Zhao 
Published: April 2024

AbstractDurability is one of the technical bottlenecks restricting fuel cell electric vehicle development. As a result, significant time and resources have been invested in research related to this area worldwide. Current durability research mainly focuses on the single cell and stack levels, which is quite different from the usage scenarios of actual vehicles. There is almost no research on developing durability test cycles on the fuel cell system level. This paper proposes a universal model for developing a durability test cycle for fuel cell system based on the China automotive test cycle. Large-scale comparison tests of the fuel cell systems are conducted. After 1000 h test, the output performance degradation of three mass-produced fuel cell system is 14.49%, 9.59%, and 4.21%, respectively. The test results show that the durability test cycle proposed in this paper can effectively accelerate the durability test of the fuel cell system and evaluate the durability performance of the fuel cell system. Moreover, the methodology proposed in this paper could be used in any other test cycles such as NEDC (New European Driving Cycle), WLTC (Worldwide Harmonized Light Vehicles Test Procedure), etc. And it has comprehensive application value and are significant for reducing the cost of durability testing of fuel cell systems and promoting the industrialization of fuel cell electric vehicles.
Sand cat swarm optimization algorithm and its application integrating elite decentralization and crossbar strategy
Authors: Li Yancang , Yu Qian , Du Zunfeng 
Published: April 2024

AbstractSand cat swarm optimization algorithm is a meta-heuristic algorithm created to replicate the hunting behavior observed by sand cats. The presented sand cat swarm optimization method (CWXSCSO) addresses the issues of low convergence precision and local optimality in the standard sand cat swarm optimization algorithm. It accomplished this through the utilization of elite decentralization and a crossbar approach. To begin with, a novel dynamic exponential factor is introduced. Furthermore, throughout the developmental phase, the approach of elite decentralization is incorporated to augment the capacity to transcend the confines of the local optimal. Ultimately, the crossover technique is employed to produce novel solutions and augment the algorithm's capacity to emerge from local space. The techniques were evaluated by performing a comparison with 15 benchmark functions. The CWXSCSO algorithm was compared with six advanced upgraded algorithms using CEC2019 and CEC2021. Statistical analysis, convergence analysis, and complexity analysis use statistics for assessing it. The CWXSCSO is employed to verify its efficacy in solving engineering difficulties by handling six traditional engineering optimization problems. The results demonstrate that the upgraded sand cat swarm optimization algorithm exhibits higher global optimization capability and demonstrates proficiency in dealing with real-world optimization applications.
A theoretical view of the T-web statistical description of the cosmic web
Authors: Ayçoberry Emma , Barthelemy Alexandre , Codis Sandrine 
Published: April 2024

Context. The objective classification of the cosmic web into different environments is an important aspect of large-scale structure studies, as it can be used as a tool to study the formation of structures (halos and galaxies) in mode detail, and it forms a link between their properties and the large-scale environment; these different environments also offer another class of objects whose statistics contain cosmological information.
Aims. In this paper, we present an analytical framework to compute the probability of the different environments in the cosmic web based on the so-called T-web formalism, which classifies structures into four different classes (voids, walls, filaments, and knots) based on the eigenvalues of the Hessian of the gravitational potential, often called the tidal tensor.
Methods. Our classification method relies on studying whether the eigenvalues of this Hessian matrix are above or below a given threshold and thus requires knowledge of the joint probability distribution of those eigenvalues. We performed a change of variables in terms of rotational invariants, which are polynomials of the field variables and minimally correlated. We studied the distribution of those variables in the linear and quasi-linear regimes with the help of a so-called Gram-Charlier expansion, using tree-order Eulerian perturbation theory to compute the Gram-Charlier coefficients. This expansion then allowed us to predict the probability of the four different environments as a function of the chosen threshold and at a given smoothing scale and redshift for the density field. We checked the validity regime of our predictions by comparing those predictions to measurements made in the N-body Quijote simulations.
Results. Working with fields normalised by their linear variance, we find that scaling the threshold value with the non-linear amplitude of fluctuations allows us to capture almost the entire redshift evolution of the probabilities of the four environments, even if we assume that the density field is Gaussian (corresponding to the linear regime of structure formation). We also show that adding mild non-Gaussian corrections with the help of a Gram-Charlier expansion – hence introducing corrections that depend on third-order cumulants of the field – provides even greater accuracy, allowing us to obtain very precise predictions for cosmic web abundances up to scales of as small as ∼5 Mpc h−1 and redshifts down to z ∼ 0.
A comprehensive X-ray analysis of the massive O-type binary HD 93250 over two decades
Authors: Arora Bharti , De Becker Michaël , Pandey Jeewan C. 
Published: April 2024

Context. Massive star winds are known to be responsible for X-ray emission arising from wind plasma heated by the strong shocks up to temperatures of 106–107 K in the case of colliding wind binaries. The investigation of X-ray emission from massive stars thus constitutes a valuable tool for identifying binaries, which is otherwise a difficult task using classical techniques.
Aims. We investigated thermal and nonthermal X-ray emission from the massive O-type star HD 93250 to unveil its binary orbital parameters independently.
Methods. To meet our goal, we analyzed X-ray data obtained with European Photon Imaging Camera on board XMM-Newton spanning over ~19 yr. Additionally, we analyzed NuSTAR observations of HD 93250 taken at various epochs.
Results. We determine the variability timescale of the X-ray emission to be 193.8±1.3d, in full agreement with the 194.3±0.4d period derived from the astrometric orbit. The X-ray spectrum of HD 93250 is well explained by a three-temperature thermal plasma emission model with temperatures of 0.26, 1.0, and 3.3 keV. The resulting X-ray flux varies in compliance with the typical colliding wind emission from eccentric massive binaries where it enhances near periastron passage and decreases gradually close to apastron in proportion to the inverse of the binary separation. The periastron-to-apastron X-ray emission ratio points to an eccentricity range of 0.20–0.25, once again in agreement with the previously determined astrometric orbit. Finally, we do not detect any hard X-ray emission attributable to nonthermal emission above 10 keV.
Conclusions. Given the derived plasma temperature, the strong phase-locked variability, and the significant over-luminosity in X-rays, we establish that the X-ray emission from HD 93250 is dominated by the colliding-wind region. Our results lend support to the idea that X-ray time analysis of massive stars constitutes a relevant tool for investigating their multiplicity and for extracting relevant information on their basic orbital parameters – such as period and eccentricity – independently of any orbital solution derived from classical techniques.
OGLE-2018-BLG-0971, MOA-2023-BLG-065, and OGLE-2023-BLG-0136: Microlensing events with prominent orbital effects
Authors: Han Cheongho , Udalski Andrzej , Bond Ian A. , Lee Chung-Uk , Gould Andrew , Albrow Michael D. , Chung Sun-Ju , Hwang Kyu-Ha , Jung Youn Kil , Kim Hyoun-Woo , Ryu Yoon-Hyun , Shvartzvald Yossi , Shin In-Gu , Yee Jennifer C. , Yang Hongjing , Zang Weicheng , Cha Sang-Mok , Kim Doeon , Kim Dong-Jin , Kim Seung-Lee , Lee Dong-Joo , Lee Yongseok , Park Byeong-Gon , Pogge Richard W. , Mróz Przemek , Szymański Michał K. , Skowron Jan , Poleski Radosław , Soszyński Igor , Pietrukowicz Paweł , Kozłowski Szymon , Rybicki Krzysztof A. , Iwanek Patryk , Ulaczyk Krzysztof , Wrona Marcin , Gromadzki Mariusz , Mróz Mateusz J. , Abe Fumio , Barry Richard , Bennett David P. , Bhattacharya Aparna , Fujii Hirosame , Fukui Akihiko , Hamada Ryusei , Hirao Yuki , Silva Stela Ishitani , Itow Yoshitaka , Kirikawa Rintaro , Koshimoto Naoki , Matsubara Yutaka , Miyazaki Shota , Muraki Yasushi , Olmschenk Greg , Ranc Clément , Rattenbury Nicholas J. , Satoh Yuki , Sumi Takahiro , Suzuki Daisuke , Tomoyoshi Mio , Tristram Paul J. , Vandorou Aikaterini , Yama Hibiki , Yamashita Kansuke 
Published: April 2024

Aims. We undertake a project to reexamine microlensing data gathered from high-cadence surveys. The aim of the project is to reinvestigate lensing events whose light curves exhibit intricate anomaly features that are associated with caustics, but lack prior proposed models that would explain these features.
Methods. Through detailed reanalyses considering higher-order effects, we determined that it is vital to account for the orbital motions of lenses to accurately explain the anomaly features observed in the light curves of the lensing events OGLE-2018-BLG-0971, MOA-2023-BLG-065, and OGLE-2023-BLG-0136.
Results. We estimated the masses and distances to the lenses by conducting Bayesian analyses using the lensing parameters of the newly found lensing solutions. These analyses showed that the lenses of the events OGLE-2018-BLG-0971 and MOA-2023-BLG-065 are binaries composed of M dwarfs, while the lens of OGLE-2023-BLG-0136 likely is a binary composed of an early K-dwarf primary and a late M-dwarf companion. For all lensing events, the probability that the lens resides in the bulge is considerably higher than that it is located in the disk.
How rarity and exclusivity influence types of perceived value for luxury
Authors: Wang Xujia , Sung Billy , Phau Ian 
Published: April 2024

AbstractThe purpose of this study is to investigate how exclusivity and rarity (natural versus virtual) influence consumers’ perceived value (functional, social and emotional) for luxury. Data were collected through an online panel. Luxury product categories including bags, wines, shoes and jewellery were selected as research stimuli. Structural equation modelling was used to test the hypotheses. Results showed that perceived natural rarity was a positive and significant predictor for all three types of consumers’ perceived value and across all four product categories. Perceived virtual rarity was a positive and significant predictor only for perceived functional value. Perceived exclusivity did not show any significant effects on value across all categories. This study is the first to provide theoretical support that exclusivity and rarity may have different functions in luxury marketing implementations. It provides updated empirical evidence showing traditional marketing tactic, such as natural rarity, still receive positive social and emotional evaluations among contemporary consumers.