bluuebunny/crossref_metadata_2025_split huggingface dataset:
LRRK2 Kinase Inhibitor PF-06447475 Protects Drosophila melanogaster against Paraquat-Induced Locomotor Impairment, Life Span Reduction, and Oxidative Stress
Authors: Quintero-Espinosa Diana A. , Jimenez-Del-Rio Marlene , Velez-Pardo Carlos 
Published: June 2024

AbstractParkinson’s disease (PD) is a complex multifactorial progressive neurodegenerative disease characterized by locomotor alteration due to the specific deterioration of dopaminergic (DAergic) neurons in the substantia nigra pars compacta (SNpc). Mounting evidence shows that human LRRK2 (hLRRK2) kinase activity is involved in oxidative stress (OS)-induced neurodegeneration, suggesting LRRK2 inhibition as a potential therapeutic target. We report that the hLRRK2 inhibitor PF-06447475 (PF-475) prolonged lifespan, increased locomotor activity, maintained DAergic neuronal integrity, and reduced lipid peroxidation (LPO) in female Drosophila melanogaster flies chronically exposed to paraquat (PQ), a redox cycling compound, compared to flies treated with vehicle only. Since LRRK2 is an evolutionary conserved kinase, the present findings reinforce the idea that either reduction or inhibition of the LRRK2 kinase might decrease OS and locomotor alterations associated with PD. Our observations highlight the importance of uncovering the function of the hLRRK2 orthologue dLrrk2 in D. melanogaster as an excellent model for pharmacological screenings.
Environmental factors in tsunami evacuation simulation: topography, traffic jam, human behaviour
Authors: Fathianpour Azin , Evans Barry , Babaeian Jelodar Mostafa , Wilkinson Suzanne 
Published: June 2024

AbstractThe risk a tsunami, a high-rise wave, poses to coastal cities has been highlighted in recent years. Emergency management agencies have become more prepared, and new policies and strategies are in place to strengthen the city's resiliency to such events. Evacuation is a highly effective response to tsunamis, and recent models and simulations have provided valuable insights into mass evacuation scenarios. However, the accuracy of these simulations can be improved by accounting for additional environmental factors that affect the impact of a tsunami event. To this end, this study has been conducted to enhance an evacuation simulation model by considering topography that impacts traffic mobility and speed, traffic congestion, and human behaviour. The updated model was employed to evaluate the effectiveness of Napier City's current evacuation plan, as it can realistically simulate both pedestrian and vehicular traffic movements simultaneously. The simulation demonstrated in this paper was based on a scenario involving an 8.4 Mw earthquake from the Hikurangi subduction interface, which would trigger a tsunami risk in the area. Based on this event, the final evacuation time (time between after the shake is felt and the arrival of the tsunami wave at the shoreline of Napier City) is considered to be 50 min. The results of the MSEM model are presented within two categories, (1) survival rate and (2) safe zone capacity. The evacuation simulation model used to examine the environmental factors in this study is the Micro-Simulation Evacuation Model (MSEM), an agent-based model capable of considering both pedestrian and vehicular interactions. The results showed that the steep pathway to the safe zone would markedly decrease the moving speed and reduce the survival rate, highlighting the need to have supporting vertical evacuation to reduce the number of evacuees heading to steep routes. Additionally, the modelling and assessment of mass evacuation by vehicles has highlighted regions of severe congestion due to insufficient network capacity. Through highlighting such regions, the model aid policy makers with a more targeted approach to infrastructure investment to improve flows of traffic in mass evacuation scenarios and increase survival rates.
Image jurilinguistique des animaux dans les codes civils français et polonais
Authors: Pieprzyca Piotr 
Published: June 2024

RésuméL’article décrit le statut jurilinguistique des animaux qui découle des codes civils polonais et français. Le but est de vérifier si la législation de ces deux pays suit les changements sociaux liés à l’attitude des humains envers les animaux. L’étude s’appuie sur la méthodologie de l’image linguistique du monde — l’auteur essaie de reconstruire la définition d’animal à partir des emplois de ce nom dans les deux actes normatifs. L’analyse sémantique des dispositions juridiques démontre que, dans les deux codes, les animaux fonctionnent tout d’abord comme objet de différents droits et obligations, comme une partie du patrimoine, une chose qui dépend entièrement de l’homme et lui appartient. L’animal n’est pas considéré comme une catégorie distincte, mais il est soumis au régime des biens. En effet, les droits civils polonais et français tendent à réifier les animaux, en leur refusant un statut juridique différent de celui des choses et en restant indifférent aux changements sociaux contemporains.
Implementation and testing of a KNS topology in an InfiniBand cluster
Authors: Gomez-Lopez Gabriel , Escudero-Sahuquillo Jesus , Garcia Pedro J. , Quiles Francisco J. 
Published: June 2024

AbstractThe InfiniBand (IB) interconnection technology is widely used in the networks of modern supercomputers and data centers. Among other advantages, the IB-based network devices allow for building multiple network topologies, and the IB control software (subnet manager) supports several routing engines suitable for the most common topologies. However, the implementation of some novel topologies in IB-based networks may be difficult if suitable routing algorithms are not supported, or if the IB switch or NIC architectures are not directly applicable for that topology. This work describes the implementation of the network topology known as KNS in a real HPC cluster using an IB network. As far as we know, this is the first implementation of this topology in an IB-based system. In more detail, we have implemented the KNS routing algorithm in the OpenSM software distribution of the subnet manager, and we have adapted the available IB-based switches to the particular structure of this topology. We have evaluated the correctness of our implementation through experiments in the real cluster, using well-known benchmarks. The obtained results, which match the expected performance for the KNS topology, show that this topology can be implemented in IB-based clusters as an alternative to other interconnection patterns.
Monolayer graphene/GaN heterostructure photodetector with UV-IR dual-wavelength photoresponses
Authors: Xue Junjun , Tong Jiaming , Gao Zhujun , Chen Zhouyu , Fang Haoyu , Wang Saisai , Zhi Ting , Wang Jin 
Published: June 2024

AbstractAn ultraviolet-infrared (UV-IR) dual-wavelength photodetector (PD) based on a monolayer (ML) graphene/GaN heterostructure has been successfully fabricated in this work. The ML graphene was synthesized by chemical vapor deposition (CVD) and subsequently transferred onto GaN substrate using polymethylmethacrylate (PMMA). The morphological and optical properties of the as-prepared graphene and GaN were presented. The fabricated PD based on the graphene/GaN heterostructure exhibited excellent rectify behavior by measuring the current–voltage (I–V) characteristics under dark conditions, and the spectral response demonstrated that the device revealed an UV-IR dual-wavelength photoresponse. In addition, the energy band structure and absorption properties of the ML graphene/GaN heterostructure were theoretically investigated based on density functional theory (DFT) to explore the underlying physical mechanism of the two-dimensional (2D)/three-dimensional (3D) hybrid heterostructure PD device. This work paves the way for the development of innovative GaN-based dual-wavelength optoelectronic devices, offering a potential strategy for future applications in the field of advanced photodetection technology.
Graphical Abstract
Reliable feature selection for adversarially robust cyber-attack detection
Authors: Vitorino João , Silva Miguel , Maia Eva , Praça Isabel 
Published: June 2024

AbstractThe growing cybersecurity threats make it essential to use high-quality data to train machine learning (ML) models for network traffic analysis, without noisy or missing data. By selecting the most relevant features for cyber-attack detection, it is possible to improve both the robustness and computational efficiency of the models used in a cybersecurity system. This work presents a feature selection and consensus process that combines multiple methods and applies them to several network datasets. Two different feature sets were selected and were used to train multiple ML models with regular and adversarial training. Finally, an adversarial evasion robustness benchmark was performed to analyze the reliability of the different feature sets and their impact on the susceptibility of the models to adversarial examples. By using an improved dataset with more data diversity, selecting the best time-related features and a more specific feature set, and performing adversarial training, the ML models were able to achieve a better adversarially robust generalization. The robustness of the models was significantly improved without their generalization to regular traffic flows being affected, without increases of false alarms, and without requiring too many computational resources, which enables a reliable detection of suspicious activity and perturbed traffic flows in enterprise computer networks.
Market research ethics: New practices but no new ideas
Authors: Cluley Robert , Green William 
Published: June 2024

AbstractThe ethical issues involved with marketing research are receiving increased public scrutiny, prompting calls for marketing scholars and research practitioners to revisit the issue. To support researchers and practitioners, this paper provides a systematic scoping review of research on the ethics of market research developed across a range of literatures (N = 134). It demonstrates that, over 70 years, marketing scholars have explored the ethics of market research from normative, descriptive, theoretical and technical approaches. But, while marketing scholars were once at the forefront of theorising the ethics of marketing research, the field is increasingly fragmented and specialized. The result is that, following a series of theoretical innovations in the 1980s, progress has all but ended. We ask why marketing scholars have turned away from the ethics of marketing research given the importance of the topic in practice.
Stripping the Swiss discount curve using kernel ridge regression
Authors: Camenzind Nicolas , Filipović Damir 
Published: June 2024

AbstractWe analyze and implement the kernel ridge regression (KR) method developed in Filipovic et al. (Stripping the discount curve—a robust machine learning approach. Swiss Finance Institute Research Paper No. 22–24. SSRN. https://ssrn.com/abstract=4058150, 2022) to estimate the risk-free discount curve for the Swiss government bond market. We show that the insurance industry standard Smith–Wilson method is a special case of the KR framework. We recapitulate the curve estimation methods of the Swiss Solvency Test (SST) and the Swiss National Bank (SNB). In an extensive empirical study covering the years 2010–2022 we compare the KR curves with the SST and SNB curves. The KR method proves to be robust, flexible, transparent, reproducible and easy to implement, and outperforms the benchmarks in- and out-of-sample. We show the limitations of all methods for extrapolating the yield curve and propose possible solutions for the extrapolation problem. We conclude that the KR method is the preferred method for estimating the discount curve.
Dual-mode optical projection mapping system: integration of laser speckle contrast and subcutaneous vein imaging
Authors: Yeum Insun , Ko Donghwan , Lee Gyujin , Seok Hoik , Jung Byungjo 
Published: June 2024

AbstractDual-mode optical imaging can simultaneously provide morphological and functional information. Furthermore, it can be integrated with projection mapping method to directly observe the images in the region of interest. This study was aimed to develop a dual-mode optical projection mapping system (DOPMS) that obtains laser speckle contrast image (LSCI) and subcutaneous vein image (SVI) and projects onto the region of interest, minimizing the spatial misalignment between the regions captured by the camera and projected by a projector. In in vitro and in vivo studies, LSCI and SVI were obtained and projected under single-mode illumination, where either the laser or light-emitting diode (LED) was activated, and under dual-mode illumination, where the laser and LED were activated simultaneously. In addition, fusion image (FI) of LSCI and SVI was implemented to selectively observe blood perfusion in the vein. DOPMS successfully obtained LSCI, SVI, and FI and projected them onto the identical region of interest, minimizing spatial misalignment. Single-mode illumination resulted in relatively clearer and noise-free images. Dual-mode illumination introduced speckle noise to SVI and FI but enabled real-time imaging by simultaneously employing LSCI, SVI, and FI. FI may be more effective for quasi-static evaluations before and after treatment under single-mode illumination and for real-time evaluation during treatment under dual-mode illumination owing to its faster image processing, albeit with a potential tradeoff in image quality.
Long-term dynamics of fractional stochastic delay reaction–diffusion equations on unbounded domains
Authors: Chen Zhang , Wang Bixiang 
Published: June 2024

AbstractIn this paper, we investigate the long-term dynamics of fractional stochastic delay reaction-diffusion equations on unbounded domains with a polynomial drift term of arbitrary order driven by nonlinear noise. We first define a mean random dynamical system in a Hilbert space for the solutions of the equation and prove the existence and uniqueness of weak pullback mean random attractors. We then establish the existence and regularity of invariant measures of the system under further conditions on the nonlinear delay and diffusion terms. We also prove the tightness of the set of all invariant measures of the equation when the time delay varies in a bounded interval. We finally show that every limit of a sequence of invariant measures of the delay equation must be an invariant measure of the limiting system as delay approaches zero. The uniform tail-estimates and the Ascoli–Arzelà theorem are used to derive the tightness of distribution laws of solutions in order to overcome the non-compactness of Sobolev embeddings on unbounded domains.
Diagnostic Uncertainty in Childhood Motor Speech Disorders: A Review of Recent Tools and Approaches
Authors: McCabe Patricia , Korkalainen Johanna , Thomas Donna 
Published: June 2024

Abstract
Purpose
Speech-language pathologists report difficulty in the accurate differential diagnosis of complex speech presentations. This paper explores possible reasons for diagnostic uncertainty and reviews new tools and recent approaches to address this concern.

Recent Findings
Children with motor speech disorders often have complex mixed presentations, comprising interacting motor-speech, cognitive-linguistic, and psychosocial factors, which may lead to clinicians having difficulty selecting appropriate interventions. Clinicians are frequently uncertain about differential diagnosis and lack time to complete comprehensive analysis required to understand the children’s complex speech profiles. This review examines papers that deal with this issue through identification of multiple speech disorders [5], consideration of impaired speech processes rather than discrete diagnoses [1], and the impact of new genetic understandings [20]. These insights will help to reduce the impact of this complexity on clinical decision-making.

Summary
New tools are emerging including clinical diagnostic pathways, genetic analysis, and theoretical modelling which may resolve many of the identified issues and improve clinical decision-making for children with complex motor speech disorders.
Barriers and Facilitators to Breast and Cervical Cancer Screenings for Hispanic Women in a Rural State
Authors: Moyce Sally , Claudio David , Aghbashian Elizabeth , Keenan Kelly , Comey Danika Lee , Chavez-Reyes Genesis 
Published: June 2024

Abstract
Introduction
The Centers for Disease Control and Prevention (CDC) and the Division of Cancer Prevention of Control administer the National Breast and Cervical Cancer Early Detection Program (NBCCEDP), designed to increase early detection of cancers among low-income uninsured and underinsured women. However, rates of cancer diagnosis and survivorship differ among women of different ethnicities. We investigated two questions: 1) what are the potential barriers and facilitators for women to complete recommended breast and cervical cancer screenings, and 2) are the barriers and facilitators different for Hispanic women when compared to non-Hispanic White women?

Methods
We used a community-based participatory research approach and mixed methods: qualitative interviews with women enrolled in the program and a systematic process improvement approach to identify root causes of completing or not completing screenings. We conducted semi-structured interviews in English (n = 11) and Spanish (n = 9) and analyzed responses using fishbone diagrams.

Results
We recruited 20 participants in four categories: (a) non-Hispanic White women who completed screenings (n = 9), (b) non-Hispanic White women who did not complete screenings (n = 2), (c) Hispanic women who completed screenings (n = 7), and (d) Hispanic women who did not complete screenings (n = 2). Among all women, facilitators included assistance from program staff with appointments and reminders. Hispanic women reported barriers including language difficulties and confusion about the program. Non-Hispanic White women identified barriers as confusion about the role of insurance.

Conclusions
We found that there are differences in barriers and facilitators for non-Hispanic White women and Hispanic women due to language, the role of insurance, and the level of trust in the program. Reasons for not completing screenings for Hispanic women were structural and systemic in nature; reasons for non-Hispanic White women were based on personal choices.
Evaluating the effectiveness of rhizobacteria producing 1-aminocyclopropane-1-carboxylic acid deaminase in inhibiting tumor formation by Agrobacterium tumefaciens
Authors: Amer Iman Amer Abdelhafiz , Mikhail Maurice Sabry , Youssef Maryan Makram , Abd El-Rahman Ashraf Fathy 
Published: June 2024

AbstractCrown gall is one of the most dangerous bacterial diseases affecting the production of fruit tree nurseries in Egypt and many countries of the world. In the present study, ten isolates of 1-aminocyclopropane-1-carboxylic acid (ACC) deaminase-producing rhizobacteria were isolated from the rhizosphere of apricot (Prunus armeniaca L.) and plum (Prunus domestica L.) trees to evaluate their ability to decrease tumor formation by Agrobacterium tumefaciens (synonym Rhizobium radiobacter). The ten isolates were identified as Pseudomonas strains based on 16S rRNA gene sequence analysis and deduced protein sequences obtained from a partial ACC deaminase structural gene (acdS) sequence. Co-inoculating castor bean (Ricinus communis L.) and kalanchoe (Kalanchoe sp.) plants with A. tumefaciens and four ACC deaminase-producing Pseudomonas isolates decreased tumor formation. However, six ACC deaminase-producing Pseudomonas isolates produced varying results in these two plant species. The results showed that isolates of Pseudomonas vancouverensis reduced tumor formation when co-inoculated with A. tumefaciens in castor bean and kalanchoe plants. However, the isolate P. putida inhibited tumor formation in castor bean plants but did not achieve the same effect in kalanchoe plants. Additionally, isolates of P. frederiksbergensis and P. kilonensis decreased tumor formation in kalanchoe plants while increasing tumor formation in castor bean plants. The results showed that ACC deaminase-producing P. vancouverensis is a promising biocontrol agent against A. tumefaciens.
Entrepreneurship as career choice of Russian students: the role of university education, cultural traditions, and gender stereotypes
Authors: Tabachnikova Olga , Vinokurova Natalia 
Published: June 2024

AbstractIn this paper, based on our own recent sociological survey of more than 800 students of 15 Russian universities, we explore the views of Russian students regarding entrepreneurship as their possible choice of a future career. We are interested above all in the role of university education in shaping these views. However, in order to scrutinize this role to full extent, we place our study in the broader framework of national cultural traditions which constitute an integral contributing factor and underlying influence not only in educational, but also in the general existential realm. In this context, we argue that a substantial impact on the students’ future career choice is made by existing gender differences based on the stereotypes of the ‘typically male’ and ‘female’ employment fields. Our study demonstrates, in particular, that Russian students display—notably, just as the older generation of educated Russians too—a noticeable conservatism in their career choices (including entrepreneurial aspirations), by adhering to the traditional cultural values and gender perceptions. We also provide a nuanced analysis of the motivations and expectations associated with choosing an entrepreneurial career by our respondents. Our method of collecting information is chosen to be questionnaire-based—as most effective for descriptive research—which is then complemented by further qualitative analytics intended to reveal hidden causal connections. Our approach is interdisciplinary, as it combines sociological research methods with socio-economic and culturological analysis.
Organizational culture at Slovak universities: a mediation analysis of the associated factors
Authors: Jankelová Nadežda 
Published: June 2024

AbstractThe purpose of the paper is to examine the interrelationship between the leadership style of direct superiors and organizational culture and to find out whether this connection is mediated by organizational trust in the environment of Slovak universities. The tool for data collection was a questionnaire survey among heads of departments from selected public universities in Slovakia. The research model was tested using the PLS-SEM method. The hypothesis about the mediating role of organizational trust in the relationship between the superior’s leadership style and organizational culture was confirmed. The total effect in the studied model was much higher than the direct effect, which points to the importance of organizational trust in the context of building a healthy organizational culture. The implications of the research are aimed at the practice of university management.