bluuebunny/crossref_metadata_2025_split huggingface dataset:
Neurophenomenological Investigation of Mindfulness Meditation “Cessation” Experiences Using EEG Network Analysis in an Intensively Sampled Adept Meditator
Authors: van Lutterveld Remko , Chowdhury Avijit , Ingram Daniel M. , Sacchet Matthew D. 
Published: May 2024

AbstractMindfulness meditation is a contemplative practice that is informed by Buddhism. It has been proven effective for improving mental and physical health in clinical and non-clinical contexts. To date, mainstream dialogue and scientific research on mindfulness has focused primarily on short-term mindfulness training and applications of mindfulness for reducing stress. Understanding advanced mindfulness practice has important implications for mental health and general wellbeing. According to Theravada Buddhist meditation, a “cessation” event is a dramatic experience of profound clarity and equanimity that involves a complete discontinuation in experience, and is evidence of mastery of mindfulness meditation. Thirty-seven cessation events were captured in a single intensively sampled advanced meditator (over 6,000 h of retreat mindfulness meditation training) while recording electroencephalography (EEG) in 29 sessions between November 12, 2019 and March 11, 2020. Functional connectivity and network integration were assessed from 40 s prior to cessations to 40 s after cessations. From 21 s prior to cessations there was a linear decrease in large-scale functional interactions at the whole-brain level in the alpha band. In the 40 s following cessations these interactions linearly returned to prior levels. No modulation of network integration was observed. The decrease in whole-brain functional connectivity was underlain by frontal to left temporal and to more posterior decreases in connectivity, while the increase was underlain by wide-spread increases in connectivity. These results provide neuroscientific evidence of large-scale modulation of brain activity related to cessation events that provides a foundation for future studies of advanced meditation.
Catalyzing Sustainable Investment: Revealing ESG Power in Predicting Fund Performance with Machine Learning
Authors: Momparler Alexandre , Carmona Pedro , Climent Francisco 
Published: May 2024

AbstractIn today’s dynamic financial landscape, the integration of environmental, social, and governance (ESG) principles into investment strategies has gained great significance. Investors and financial advisors are increasingly confronted with the crucial question of whether their dedication to ESG values enhances or hampers their pursuit of financial performance. Addressing this crucial issue, our research delves into the impact of ESG ratings on financial performance, exploring a cutting-edge machine learning approach powered by the Extreme Gradient algorithm. Our study centers on US-registered equity funds with a global investment scope, and performs a cross-sectional data analysis for annualized fund returns for a five-year period (2017–2021). To fortify our analysis, we synergistically amalgamate data from three prominent mutual fund databases, thereby bolstering data completeness, accuracy, and consistency. Through thorough examination, our findings substantiate the positive correlation between ESG ratings and fund performance. In fact, our investigation identifies ESG score as one of the dominant variables, ranking among the top five with the highest predictive capacity for mutual fund performance. As sustainable investing continues to ascend as a central force within financial markets, our study underscores the pivotal role that ESG factors play in shaping investment outcomes. Our research provides socially responsible investors and financial advisors with valuable insights, empowering them to make informed decisions that align their financial objectives with their commitment to ESG values.
Characteristic Curves of Polar Fluids: (I) The Two-Center Lennard–Jones Plus Dipole Fluid
Authors: Renneis Hans , Stephan Simon 
Published: May 2024

AbstractBrown’s characteristic curves of polar fluids were studied using molecular simulation and molecular-based equation of state. The focus was on elucidating the influence of dipole interactions and the molecule elongation on the characteristic curves. This was studied using the symmetric two-center Lennard–Jones plus point dipole (2CLJD) model fluid class. This model class has two parameters (using Lennard–Jones reduced units), namely the elongation and the dipole moment. These parameters were varied in the range relevant for real substance models that are based on the 2CLJD model class. In total, 43 model fluids were studied. Interestingly, the elongation is found to have a stronger influence on the characteristic curves compared to the dipole moment. Most importantly, the characteristic curve results for the 2CLJD fluid are fully conform with Brown’s postulates (which were originally derived for simple spherical dispersive fluids). The independent predictions from the computer experiments and the theory are found to be in reasonable agreement. From the molecular simulation results, an empirical correlation for the characteristic curves of the 2CLJD model as a function of the model parameters was developed and also applied for modeling real substances. Additionally, the intersection points of the Charles and Boyle curve with the vapor-liquid equilibrium binodal and spinodal, respectively, were studied.
Bringing Self-Determination Theory to the Forefront: Examining How Human Resource Practices Motivate Employees of All Ages to Succeed
Authors: Laguerre Rick A. , Barnes-Farrell Janet L. 
Published: May 2024

Abstract
Self-determination theory (SDT) is widely used in human resource (HR) practice studies to explain how HR practices impact work outcomes. However, there is little empirical evidence establishing the complete SDT mediational process in the HR domain, which entails basic psychological needs and motivation acting as mediators of relations between HR practices and work outcomes. The present study addresses this issue with a mixed methods approach. Using an item classification task with subject matter experts (N = 48), HR practices were classified as autonomy-, competence-, and relatedness-supportive. Based on this scheme, we tested an SDT-based conceptual model in a three-wave sample of working adults (N = 818). Results from Multilevel Structural Equation Modeling (MSEM) support the hypothesized model: basic psychological need satisfaction and autonomous motivation mediate the relationship between HR practice perceptions and work outcomes (performance, thriving, affective organizational commitment, and turnover intentions). Autonomy-supportive practices had a positive effect on autonomy need satisfaction, while competence-supportive practices had positive associations with all three basic psychological needs. Counterintuitively, relatedness-supportive practices had negative effects on autonomy and competence need satisfaction, and the relationship between relatedness-supportive practices and autonomy need satisfaction was moderated by chronological age. We discuss our findings in the context of prominent HR studies that utilize SDT and offer a supplemental age-inclusive HR practice scheme for HR managers interested in understanding the benefits of supporting basic psychological needs from both a motivation and workforce retention standpoint.
Rectilinear convex hull of points in 3D and applications
Authors: Pérez-Lantero Pablo , Seara Carlos , Urrutia Jorge 
Published: May 2024

AbstractLet P be a set of n points in $$\mathbb {R}^3$$

R

3

in general position, and let RCH(P) be the rectilinear convex hull of P. In this paper we obtain an optimal $$O(n\log n)$$

O
(
n
log
n
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time and O(n) space algorithm to compute RCH(P). We also obtain an efficient $$O(n\log ^2 n)$$

O
(
n

log
2

n
)

time and $$O(n\log n)$$

O
(
n
log
n
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space algorithm to compute and maintain the set of vertices of the rectilinear convex hull of P as we rotate $${\mathbb {R}}^3$$

R

3

around the Z-axis. We study some combinatorial properties of the rectilinear convex hulls of point sets in $$\mathbb {R}^3$$

R

3

. Finally, as an application of the obtained results, we show an approximation algorithm to an optimization fitting problem in $$\mathbb {R}^3$$

R

3

.
Directional Filter Design and Simulation for Superconducting On-Chip Filter-Banks
Authors: Marting Louis H. , Karatsu Kenichi , Endo Akira , Baselmans Jochem J. A. , Pascual Laguna Alejandro 
Published: May 2024

AbstractMany superconducting on-chip filter-banks suffer from poor coupling to the detectors behind each filter. This is a problem intrinsic to the commonly used half-wavelength filter, which has a maximum theoretical coupling of 50 %. In this paper, we introduce a phase-coherent filter, called a directional filter, which has a theoretical coupling of 100 %. In order to study and compare different types of filter-banks, we first analyze the measured filter frequency scatter, losses, and spectral resolution of a DESHIMA 2.0 filter-bank chip. Based on measured fabrication tolerances and losses, we adapt the input parameters for our circuit simulations, quantitatively reproducing the measurements. We find that the frequency scatter is caused by nanometer-scale line width variations and that variances in the spectral resolution is caused by losses in the dielectric only. Finally, we include these realistic parameters in a full filter-bank model and simulate a wide range of spectral resolutions and oversampling values. For all cases, the directional filter-bank has significantly higher coupling to the detectors than the half-wave resonator filter-bank. The directional filter eliminates the need to use oversampling as a method to improve the total efficiency, instead capturing nearly all the power remaining after dielectric losses.
Hate Speech Against Asian American Youth: Pre-Pandemic Trends and The Role of School Factors
Authors: Gee Kevin A. , Cooc North , Yu Peter 
Published: May 2024

AbstractAlthough hate speech against Asian American youth has intensified in recent years—fueled, in part, by anti-Asian rhetoric associated with the COVID-19 pandemic—the phenomenon remains largely understudied at scale and in relation to the role of schools prior to the pandemic. This study describes the prevalence of hate speech against Asian American adolescents in the US between 2015 and 2019 and investigates how school-related factors are associated with whether Asian American youth are victims of hate speech at school. Analyses are based on a sample of 938 Asian American adolescents (Mage = 14.8; 48% female) from the three most recently available waves (2015, 2017, and 2019) of the School Crime Supplement to the National Crime Victimization Survey. On average, approximately 7% of Asian Americans were targets of hate speech at school between 2015 and 2019, with rates remaining stable over time. Findings also indicate that students had lower odds of experiencing hate speech if they attended schools with a stronger authoritative school climate, which is characterized by strict, yet fair disciplinary rules coupled with high levels of support from adults. On the other hand, Asian American youth faced higher odds of experiencing hate speech if they were involved in school fights. Authoritative school climate and exposure to fights are malleable and can be shaped directly by broader school climate related policies, programs and interventions. Accordingly, efforts to promote stronger authoritative climates and reduce exposure to physical fights hold considerable potential in protecting Asian American youth from hate speech at school.
Unsafe-Net: YOLO v4 and ConvLSTM based computer vision system for real-time detection of unsafe behaviours in workplace
Authors: Önal Oğuzhan , Dandıl Emre 
Published: May 2024

AbstractUnsafe behaviour is a leading cause of death or injury in the workplace, including many accidents. Despite regular safety inspections in workplaces, many accidents occur as a result of breaches of occupational health and safety protocols. In these environments, despite efforts to prevent accidents and losses in hazardous environments, human error cannot be completely eliminated. In particular, in computer-based solutions, automated behaviour detection has low accuracy, is very costly, not real-time and requires a lot of time. In this study, we propose Unsafe-Net, a hybrid computer vision approach using deep learning models for real-time classification of unsafe behaviours in workplace. For the Unsafe-Net, a dataset is first specifically created by capturing 39 days of video footage from a factory. Using this dataset, YOLO v4 and ConvLSTM methods are combined for object detection and video understanding to achieve fast and accurate results. In the experimental studies, the classification accuracy of unsafe behaviours using the proposed Unsafe-Net method is 95.81% and the average time for action recognition from videos is 0.14 s. In addition, the Unsafe-Net has increased the real-time detection speed by reducing the average video duration to 1.87 s. In addition, the system is installed in a real-time working environment in the factory and employees are immediately alerted by the system, both audibly and visually, when unsafe behaviour occurs. As a result of the installation of the system in the factory environment, it has been determined that the recurrence rate of unsafe behaviour has been reduced by approximately 75%.
A framework for monitored dynamic slicing of reaction systems
Authors: Brodo Linda , Bruni Roberto , Falaschi Moreno 
Published: May 2024

AbstractReaction systems (RSs) are a computational framework inspired by biochemical mechanisms. A RS defines a finite set of reactions over a finite set of entities. Typically each reaction has a local scope, because it is concerned with a small set of entities, but complex models can involve a large number of reactions and entities, and their computation can manifest unforeseen emerging behaviours. When a deviation is detected, like the unexpected production of some entities, it is often difficult to establish its causes, e.g., which entities were directly responsible or if some reaction was misconceived. Slicing is a well-known technique for debugging, which can point out the program lines containing the faulty code. In this paper, we define the first dynamic slicer for RSs and show that it can help to detect the causes of erroneous behaviour and highlight the involved reactions for a closer inspection. To fully automate the debugging process, we propose to distil monitors for starting the slicing whenever a violation from a safety specification is detected. We have integrated our slicer in BioResolve, written in Prolog which provides many useful features for the formal analysis of RSs. We define the slicing algorithm for basic RSs and then enhance it for dealing with quantitative extensions of RSs, where timed processes and linear processes can be represented. Our framework is shown at work on suitable biologically inspired RS models.
Monotonicity of optimized quantum f-divergence
Authors: Li Haojian 
Published: May 2024

AbstractOptimized quantumf-divergence was first introduced by Wilde and further explored by Li and Wilde later. Wilde raised the question of whether the monotonicity of optimized quantumf-divergence can be generalized to maps that are not quantum channels. In this paper, we answer this question by generalizing the monotonicity of optimized quantumf-divergences to positive trace preserving maps satisfying a Schwarz inequality. Any 2-positive maps satisfy such a Schwarz inequality. The main tool in this paper is the Petz recovery map.
Biomedical retractions due to misconduct in Europe: characterization and trends in the last 20 years
Authors: Freijedo-Farinas Fabián , Ruano-Ravina Alberto , Pérez-Ríos Mónica , Ross Joseph , Candal-Pedreira Cristina 
Published: May 2024

AbstractThe aim was to describe biomedical retractions and analyse those retracted in 2000–2021 due to research misconduct among authors affiliated with European institutions. A cross-sectional study was conducted, using Retraction Watch database, Journal Citation Reports and PubMed as data sources. Biomedical original papers, reviews, case reports and letters with at least one author affiliated with an European institution retracted between 01/01/2000 and 30/06/2021 were included. We characterized rates over time and conducted an analysis on the 4 countries with the highest number of retractions: Germany, United Kingdom, Italy and Spain. 2069 publications were identified. Retraction rates increased from 10.7 to 44.8 per 100,000 publications between 2000 and 2020. Research misconduct accounted for most retractions (66.8%). The reasons for misconduct-related retractions shifted over time, ranging from problems of copyright and authorship in 2000 (2.5 per 100,000 publications) to duplication in 2020 (8.6 per 100,000 publications). In 2020, the main reason was fabrication and falsification in the United Kingdom (6.2 per 100,000 publications) and duplication in Spain (13.2 per 100,000 publications).Retractions of papers by authors affiliated with European institutions are increasing and are primarily due to research misconduct. The type of misconduct has changed over time and differ between European countries.
On the Mode of Existence of Mute Law and the Inference of Cryptotypes
Authors: Passerini Glazel Lorenzo 
Published: May 2024

AbstractA widespread thesis in the analytical theory of law is that norms exist as linguistic entities. Rodolfo Sacco is one of the authors who have most fruitfully insisted, on the contrary, that there is no necessary correlation between norms and language, not even in the specific context of law. He thus extended the conceptualisation of legal normativity well beyond the boundaries of language through the notions of cryptotype and mute law. This paper takes into account two alternative hypotheses to the hypothesis that norms exist as linguistic entities, which are respectively based on the concepts of deontic state-of-affairs and deontic noema. Both hypotheses are tested for their applicability to the phenomena investigated by Sacco under the notion of mute law, notably with reference to cryptotypes. The question is raised then of how the existence of cryptotypes can be inferred from behaviour. The paper emphasizes the role that can be played in this context by nomotrophic behaviour, that is, the behaviour that consists in a reaction to the violation of a norm.
The puzzle of plausible deniability
Authors: Peet Andrew 
Published: May 2024

AbstractHow is it that a speaker S can at once make it obvious to an audience A that she intends to communicate some proposition p, and yet at the same time retain plausible deniability with respect to this intention? The answer is that S can bring it about that A has a high justified credence that ‘S intended p’ without putting A in a position to know that ‘S intended p’. In order to achieve this S has to exploit a sense in which communication can be lottery-like. After defending this view of deniability I argue that it compares favorably to a rival account recently developed by Dinges and Zakkou (Mind, https://doi.org/10.1093/mind/fzac056, 2023).
Rutin Nanoparticles Alleviate Cadmium-Induced Oxidative and Immune Damage in Broilers’ Bursa of Fabricius via Modulating Hsp70/TLR4/NF-κB Signaling Pathway
Authors: Abomosallam Mohamed , Hendam Basma M. , Shouman Zeinab , Refaat Rasha , Hashem Nada M. A. , Sakr Shimaa A. , Wahed Noha M. 
Published: May 2024

Abstract
Cadmium (Cd) is a serious environmental pollutant affecting various tissues/organs in broilers and compromising their immunological function and productivity. Therefore, the current study aimed to investigate Cd-induced immunotoxicity and potential immunoprotective effect of rutin nanoparticles (RNPs) in the bursal tissue of broilers. A total number of 150 chicks from the Hubbard breed were randomly divided into 5 groups. Group I was fed on standard basal diet (SD) with normal drinking water (DW), Group II received SD containing RNPs (50 mg/kg feed) with DW, Group III fed on SD and DW containing Cd (150 mg/L), Group IV co-treated with rutin-enforced SD (50 mg/kg diet) and DW containing Cd (150 mg/L), and finally, Group V co-supplemented with RNP-enhanced SD (50 mg/kg diet) DW containing Cd (150 mg/L). Productive performance, economic efficiency, oxidative biomarkers, histopathological changes, and the expression level of TLR-4, HSP-70, caspase 3, NF-κB, Bcl-2, and Bax were assessed in the BF tissue. Cd led to severe production and economic losses in exposed birds with a marked surge of oxidative biomarkers, pro-inflammatory cytokines, and histopathological changes in the bursal tissue which could be explained through upregulation of the Hsp70/TLR4/NF-κB molecular pathway in the BF tissue. Meanwhile, RNPs could alleviate most of these changes and prevail optimistic immunomodulatory properties which subsequently could enhance broilers’ productivity when incorporated in their diets.

Graphical Abstract
Meta-analysis of associations between five-factor personality traits and problematic social media use
Authors: Meynadier Jai , Malouff John M. , Schutte Nicola S. , Loi Natasha M. 
Published: May 2024

AbstractThis meta-analysis quantified the relationship between the five-factor model of personality and problematic social media use and identified moderators of this relationship. The analysis used a random-effects model to calculate a correlation for each factor and included 113 samples, with a total of 53,913 participants, identified from systematic searches of four databases. Moderator analyses were used to investigate potential causes of heterogeneity. The meta-analysis found that high neuroticism (r = .21, p < .001, 95% CI [.19, .23]), low conscientiousness (r = -.16, p < .001, 95% CI [-.19, -.13]), low agreeableness (r = -.07, p < .001, 95% CI [-.10, -.05]), and low openness (r = -.04, p = .001, 95% CI [-.06, -.02]) were significantly associated with problematic social media use. Several significant moderator effects were found. The meta-analysis contributes to the understanding of the relationship between individual characteristics and problematic social media use and provides information that might be useful in preventing and treating this behaviour.