bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cultural intelligence in sport: An examination of football coaches’ cross-cultural training needs
Authors: Borges Mário , Rosado António , Lobinger Babett , Freitas Francisco , de Oliveira Rita F. 
Published: May 2022

AbstractCultural intelligence is the capability of a person to adapt effectively to different cultures. This capability has been investigated in areas such as management, military, and education. However, there are no studies in sport referring to this capability. It is important to study cultural intelligence in sport because of the increased globalisation resulting from coaches’ and athletes’ migration across countries and clubs. This study aimed to develop the Cultural Intelligence in Sport (CQsport) and examine its factorial structure and psychometric properties; and examine coaches’ cultural intelligence and their perceived cross-cultural training needs. Participants were 209 football coaches either with or without international experience. Participants completed an online survey consisting of CQsport and a cross-cultural training needs questionnaire. We used a multigroup analysis, within the structural equation model (SEM) approach, to test group differences in the CQsport and performed a one-way analysis of variance (ANOVA) for comparisons across groups concerning cross-cultural training needs. Coaches with international experience rated themselves with more cultural intelligence in the sports context than coaches with no international experience on the metacognitive, cognitive, motivational and behavioural dimensions. Coaches with international experience also self-rated fewer training needs than coaches without international experience. This study represents the first attempt to examine football coaches’ cultural intelligence and their cross-cultural training needs.
Hydrogeochemical evaluation and geospatial distribution modeling of the major ion chemistry of groundwater and their suitability for drinking and irrigation in Lagelu, Southwestern Nigeria
Authors: Markus Uti Ikitsombika , Ilori Oluwamuyiwa Phillips , Wada Idris Muhammad , Musa Suleiman Tenimu , Peter Joshua Ebuga 
Published: May 2022

AbstractShallow groundwater is an essential resource for domestic, agricultural, and small-scale industrial uses in Lagelu in Oyo State, Southwestern Nigeria. A total of 20 representative groundwater samples were collected from different hand-dug wells and analyzed for the major cations, anions, and heavy metals to establish their suitability for drinking and irrigation. Geospatial variation maps of the major cations and anions were produced using the inverse distance weighted algorithm. The results of the respective concentrations of pH, TDS, EC, HCO3−, NO3−, SO42−, Cl−, PO42−, Ca2+, Mg2+, Na+, K+, Zn2+, Cu+, Pb2+, and As+ except Fe2+ are within the recommended range set by the World Health Organization (WHO) and Nigerian Industrial Standards for Drinking Water Quality (NSDWQ). Based on the hydrogeochemical facies, the groundwater belongs to Na+–K+–Cl−–SO42−, and Ca2+–Mg2+–Cl−–SO42− water types. Gibb’s diagram shows that the interaction of rocks and water dominate the processes that control the ionic compositions of the groundwater due to rock weathering and dissolution. The correlation matrix that specifies the ion concentration relationship showed that TDS, K+, and Fe2+ strongly correlate positively with EC, Na+, and Ca2+, respectively. CO32−, Na+, and Cu moderately correlate positively with Cl−, Mg2+, and pH, respectively. The indices used to determine groundwater suitability for irrigation classified over 90% of the samples as suitable for irrigation.
Evolution of Yamabe constant along the Ricci–Bourguignon flow
Authors: Azami Shahroud , Abolarinwa Abimbola 
Published: May 2022

AbstractIn this article, with an essential assumption, we provide an evolution formula for the Yamabe constant along of the Ricci–Bourguignon flow of an n-dimensional closed Riemannian manifold for $$n\ge 3$$

n
≥
3

. In particular, we show that Yamabe constant is increasing on $$[0, \delta ]$$

[
0
,
δ
]

for some $$\delta >0$$

δ
>
0

.
Ambient Air Pollution Exposure Assessments in Fertility Studies: a Systematic Review and Guide for Reproductive Epidemiologists
Authors: Jahnke Johanna R. , Messier Kyle P. , Lowe Melissa , Jukic Anne Marie 
Published: May 2022

Abstract

Purpose of Review
We reviewed the exposure assessments of ambient air pollution used in studies of fertility, fecundability, and pregnancy loss.

Recent Findings
Comprehensive literature searches were performed in the PUBMED, Web of Science, and Scopus databases. Of 168 total studies, 45 met the eligibility criteria and were included in the review. We find that 69% of fertility and pregnancy loss studies have used one-dimensional proximity models or surface monitor data, while only 35% have used the improved models, such as land-use regression models (4%), dispersion/chemical transport models (11%), or fusion models (20%). No published studies have used personal air monitors.

Summary
While air pollution exposure models have vastly improved over the past decade from a simple, one-dimensional distance or air monitor data to models that incorporate physiochemical properties leading to better predictive accuracy, precision, and increased spatiotemporal variability and resolution, the fertility literature has yet to fully incorporate these new methods. We provide descriptions of each of these air pollution exposure models and assess the strengths and limitations of each model, while summarizing the findings of the literature on ambient air pollution and fertility that apply each method.
Feocromocitomi ACTH secernenti
Authors: Voltan Giacomo , Pinelli Silvia , Scaroni Carla , Ceccato Filippo 
Published: May 2022

SommarioIn alcuni casi molto rari il feocromocitoma presenta una secrezione ectopica di ACTH che, con azione paracrina, conduce a una co-secrezione di cortisolo e catecolamine da parte della lesione surrenalica, configurando un quadro clinico spesso caratteristico. La diagnosi differenziale della Sindrome di Cushing ACTH-dipendente è complessa ed è opportuno un approccio a tappe, con diversi strumenti diagnostici, nel contesto di una valutazione multidisciplinare.
Deep multi-layer perceptron-based evolutionary algorithm for dynamic multiobjective optimization
Authors: Zhu Zhen , Yang Yanpeng , Wang Dongqing , Tian Xiang , Chen Long , Sun Xiaodong , Cai Yingfeng 
Published: May 2022

AbstractDynamic multiobjective optimization problems (DMOPs) challenge multiobjective evolutionary algorithms (MOEAs) because of the varying Pareto-optimal sets (POS) over time. Research on DMOPs has attracted a great interest from academic, due to widespread applications of DMOPs. Recently, a few learning-based approaches have been proposed to predict new solutions in the following environments as an initial population for a multiobjective evolutionary algorithm. In this paper, we propose an alternative learning-based method for DMOPs, a deep multi-layer perceptron-based predictor to generate an initial population for the MOEA in the new environment. The historical optimal solutions are used to train a deep multi-layer perceptron which then predicts a new set of solutions as the initial population in the new environment. The deep multi-layer perceptron is incorporated with the multiobjective evolutionary algorithm based on decomposition to solve DMOPs. Empirical results demonstrate that our proposed algorithm is effective in tracking varying solutions over time and shows great superiority comparing with state-of-the-art methods.
An associative knowledge network model for interpretable semantic representation of noun context
Authors: Li Yulin , Xie Zhenping , Wang Fanyu 
Published: May 2022

AbstractUninterpretability has become the biggest obstacle to the wider application of deep neural network, especially in most human–machine interaction scenes. Inspired by the powerful associative computing ability of human brain neural system, a novel interpretable semantic representation model of noun context, associative knowledge network model, is proposed. The proposed network structure is composed of only pure associative relationships without relation label and is dynamically generated by analysing neighbour relationships between noun words in text, in which incremental updating and reduction reconstruction strategies can be naturally introduced. Furthermore, a novel interpretable method is designed for the practical problem of checking the semantic coherence of noun context. In proposed method, the associative knowledge network learned from the text corpus is first regarded as a background knowledge network, and then the multilevel contextual associative coupling degree features of noun words in given detection document are computed. Finally, contextual coherence detection and the location of those inconsistent noun words can be realized by using an interpretable classification method such as decision tree. Our sufficient experimental results show that above proposed method can obtain excellent performance and completely reach or even partially exceed the performance obtained by the latest deep neural network methods especially in F1 score metric. In addition, the natural interpretability and incremental learning ability of our proposed method should be extremely valuable than deep neural network methods. So, this study provides a very enlightening idea for developing interpretable machine learning methods, especially for the tasks of text semantic representation and writing error detection.
Helping novice developers harness security issues in cloud-IoT systems
Authors: Corno Fulvio , De Russis Luigi , Mannella Luca 
Published: May 2022

AbstractThe development of cloud-connected Internet of Things (IoT) systems is becoming more and more affordable, even to novice programmers, thanks to dedicated cloud platforms that already integrate the core functionality needed by an IoT system. In this context, a growing number of IoT systems are being developed and deployed on open networks, often without integrating adequate security in the process. Novice IoT programmers, in particular, tend to overlook security issues, as confirmed by a small user study. Starting from this risk, the paper analyzes the security features available in two major cloud-IoT platforms (Amazon Web Services and Microsoft Azure) and highlights those settings, tools, and practices designed to ensure more secure implementations. We observed that these platforms would reasonably address many security problems detected in the study, if only the correct features were identified and used. The paper finally contributes a set of guidelines to support novice IoT developers in avoiding the main and recurrent security issues in their projects and better exploiting cloud-IoT platforms’ inherent security features.
Learning from the Dirt: Initiating university food gardens as a cross-disciplinary tertiary teaching tool
Authors: Sherry Cathy 
Published: May 2022

AbstractFood gardens are an underdeveloped resource for teaching and research in Australian universities. While some campuses have food or botanical gardens, outside the biological or physical sciences food growing is not routinely incorporated into mainstream curricula. This article investigates why and how we might change this. It examines universities’ traditional reliance on classroom-based, non-experiential learning, which preferences reading and writing over doing, particularly doing anything outdoors. Questions are raised about the implications of this approach for environmental education and graduate environmental literacy. The article then explores the example that United States campus food gardens provide other universities, as well as the process of creating food gardens for teaching and research at a high-density campus in Sydney, Australia. The article ends by postulating lessons students and staff might learn about food systems, sustainability and green cities, when food growing is incorporated into teaching and research. The article aims to inspire academic staff, particularly outside the biological sciences, to instigate campus food gardens to increase graduate environmental literacy.
A numerical analysis of the instability in the Taylor Vortex flow by using the visualization of attractors
Authors: Toya Yorinobu , Watanabe Takashi 
Published: May 2022

AbstractThis study clarifies the critical values of bifurcations from a steady Taylor flow into a wavy Taylor flow by a numerical analysis applying chaos theory. In our previous numerical research, we adopt the amplitude fluctuation of the kinetic energy of the axial velocity component as a standard criterion to identify the critical Reynolds number. However, the amplitude fluctuation of the kinetic energy is very small near the critical value, which affects the judgment of Taylor flow or wavy Taylor flow. In this study, in order to improve this problem, we introduce a new method that visualizes attractors in the three-dimensional embedded space composed from the axial velocity component. The targets are the normal 2-vortex, 4-vortex and 6-vortex modes, which stably present in the range of the aspect ratio from 1.0 to 7.2 in a system with stationary end walls of two cylinders with the radius ratio 0.667. The critical values at which the Taylor flow bifurcates into the wavy Taylor flow are determined based on the converged orbit shapes of the attractors. The analytical result shows that, in each flow mode, the critical Reynolds number for the onset of the wavy flow has its peak and presents a quantitative agreement with the experimental result in the lower range than the peak Reynolds number. This study shows that the instability of the Taylor flow is revealed by determining the structure of the attractor applied by the Hopf bifurcation. In addition, it is represented that this numerical approach using attractors can obtain more accurate results than those obtained by a numerical evaluation method using the amplitude of the kinetic energy of the Taylor flow.
Modeling, simulation and experimental exploration of metal magnetic memory under weak magnetic excitation
Authors: Liu Bo , Zhang Juwei , Zhang Zengguang 
Published: May 2022

AbstractThis study proposes to use the improved Jiles–Atherton (J–A) magneto-mechanical effect model combined with simulation analysis to detect the damage of wire rope. By establishing the theoretical basis of the J–A model under weak magnetic excitation, the simulation analysis is carried out by using ANSYS software, and finally the correctness of the simulation and theoretical results is verified by experiments. The results show that the weak magnetic excitation magnetic field has a strengthening effect on the magnetic memory signal under the action of the force-magnetic coupling. By processing the extracted magnetic memory signal, it is verified that the weak magnetic excitation magnetic field alone has a certain inhibitory effect on the environmental interference of the geomagnetic field. Compared with the geomagnetic field environment, the weak magnetic excitation magnetic field can better identify the different defect types of simulated 60 steel damage and wire rope defects. Studies have shown that weak magnetic excitation plays an important role in the damage detection of ferromagnetic materials.
Elevated Vulnerability of Chronic Leukemia Patients to COVID-19 Infection: A Systems Biology Approach
Authors: Alsalman Abdulkhaliq J. , Al Mohaini Mohammed , Malik Md. Zubbair , Imran Mohd. , Alomar Fadhel A. , Al Awwad Nasir 
Published: May 2022

Abstract
Background
Emerging evidence has shown that SARS-CoV-2 may affect the circulatory system in addition to the human respiratory system. However, no study has indicated whether patients with leukemia have a greater likelihood of SARS-CoV-2 infection or have poor treatment outcomes.

Objective
The study aimed to demonstrate the relationship between essential blood proteins and the major SARS-CoV-2 proteins by network pharmacology bioinformatics analysis.

Methods
Bioinformatics analysis was used to establish eight differentially expressed gene hubs in leukemia through differential gene screening, protein–protein interaction network analysis, and gene enrichment analysis. Molecular docking analysis was also conducted to dock the two up-regulated proteins with the spike glycoprotein in leukemia and the critical protease enzyme (Mpro) of SARS-CoV-2.

Results
We identified two up-regulated genes (PTPRC and BCL6) among the eight differentially expressed genes. The PTPRC and BCL6 also docked perfectly with the main SARS-CoV-2 structural proteins.

Conclusion and Recommendation
This study indicates that SARS-CoV-2 is likely to affect with the blood in patients with chronic leukemia. Therefore, patients with chronic leukemia require greater medical attention and precautions during the COVID-19 pandemic.
Community Response to Rebordering Politics: The Case of Two Twin Towns in Central Europe
Authors: Kajta Justyna , Opiłowska Elżbieta 
Published: May 2022

AbstractThe coronavirus disease 2019 (COVID-19) pandemic has once again brought borders to the center of attention, as journalists, authorities, and scholars have grappled with the pandemic. The coronavirus outbreak, which began in late 2019 and early 2020 has caused tremendous personal, economic, and social upheaval. As many states decided to pursue the national interests and to close their borders to prevent the spread of the virus, this decision had major consequences for residents in border regions, for whom border crossing is an everyday practice. The article aims at exploring the discourse on the rebordering experience as constructed by local authorities and residents of two twin towns, one on the Polish-Czech (Cieszyn-Český Těšín) and one on the Polish-German (Słubice-Frankfurt/Oder) border. By applying a Discursive Historical Approach, we identified four main discursive strands which deployed diverse imaginaries.
Undisciplined Constituency Campaign Behaviour in Canadian Federal Elections
Authors: Robbins-Kanter Jacob 
Published: May 2022

AbstractScholarly research suggests that Canadian election campaigns are centralized affairs, with party headquarters managing a disciplined campaign organization across 338 federal constituencies. At the same time, local realities can incentivize constituency campaigns to deviate from their parties. This article examines the extent of local campaign discipline, given these tensions between parties’ centralizing compulsions and countervailing forces that militate against party cohesion. The article relies on original data to identify and explain the extent of local campaign behaviour that defies central party preferences and directives. It draws from interviews with 87 former candidates and eight party strategists, as well as observational data gathered from 10 constituency campaigns during the 2019 federal election. The findings indicate a relatively high level of undisciplined constituency campaign behaviour during the 2015 and 2019 elections. The article contends that this behaviour stems from insubordination, innovation and incompetence within constituency campaigns.
‘Males are Undeserving; Females are Ideal Victims’: Gender Bias Hides Demand in Human-Smuggling Networks
Authors: Izcara Palacios Simón Pedro 
Published: May 2022

AbstractThe objective of this paper, based on interviews with 95 human smugglers (coyotes) involved in agriculture and 51 in prostitution, is to provide a comparative analysis of the networks transporting (mostly) male migrants intending to work in US agriculture and those recruiting women/girls for the US sex industry. Networks carrying females for sex work are bigger and use more fraudulent recruitment strategies. However, migrant smuggling for agriculture is not totally different from sex trafficking; similarities between the types of networks analysed dwarf their differences. Smugglers frequently use some form of deception to convince their would-be clients/victims to undertake risky journeys. I conclude that both networks are demand-driven. Smugglers serve the interests of US agribusinesses and sex business owners rather than those of the males and females they recruit.
Experiments make a good breakfast, but a poor supper
Authors: Jetten Jolanda , Selvanathan Hema Preya , Crimston Charlie R. , Bentley Sarah V. , Haslam S. Alexander 
Published: May 2022

AbstractCesario's analysis has three key flaws. First, the focus on whether an effect is “real” (an “effects flaw”) overlooks the importance of theory testing. Second, obsession with effects (a “fetishization flaw”) sidelines theoretically informed questions about when and why an effect may arise. Third, failure to take stock of cultural and historical context (a “decontextualization flaw”) strips findings of meaning.
Surely not all experimental studies of bias need abandoning?
Authors: White Fiona A. 
Published: May 2022

AbstractCesario misrepresents experimental social psychology. The discipline encompasses significantly more than implicit bias research, including controlled decision making and real-world behavioral observations. Paradoxically, while critiquing popular implicit bias tasks, Cesario also describes task refinements that have significantly advanced their external validity and our contextual understanding of bias. Thus rather than abandonment, a call for “continued improvement” is a far more sensible proposition.
Social bias insights concern judgments rather than real-world decisions
Authors: Białek Michał , Grossmann Igor 
Published: May 2022

AbstractJudgments differ from decisions. Judgments are more abstract, decontextualized, and bear fewer consequences for the agent. In pursuit of experimental control, psychological experiments on bias create a simplified, bare-bone representation of social behavior. These experiments resemble conditions in which people judge others, but not how they make real-world decisions.
The logic of challenging research into bias and social disparity
Authors: Rini Regina 
Published: May 2022

AbstractThere are two problems with the logic of Cesario's argument for abandoning existing research on social bias. First, laboratory findings of decisional bias have social significance even if Cesario is right that the research strips away real-world context. Second, the argument makes overly skeptical demands of a research program seeking complex causal linkages between micro- and macro-scale phenomena.
The diameter of the uniform spanning tree of dense graphs
Authors: Alon Noga , Nachmias Asaf , Shalev Matan 
Published: May 2022

AbstractWe show that the diameter of a uniformly drawn spanning tree of a simple connected graph on n vertices with minimal degree linear in n is typically of order
$\sqrt{n}$
. A byproduct of our proof, which is of independent interest, is that on such graphs the Cheeger constant and the spectral gap are comparable.
Al2O3 Grain Boundary Segregation in a Thermal Barrier Coating on a Ni-Based Superalloy
Authors: Chen Yimeng , Rice Katherine P , Prosa Ty J , Reed Roger C , Marquis Emmanuelle A 
Published: May 2022

Abstract
The segregation of reactive elements (REs) along thermally grown oxide (TGO) grain boundaries has been associated to slower oxide growth kinetics and improved creep properties. However, the incorporation and diffusion of these elements into the TGO during oxidation of Ni alloys remains an open question. In this work, electron backscatter diffraction in transmission mode (t-EBSD) was used to investigate the microstructure of TGO within the thermal barrier coating on a Ni-based superalloy, and atom probe tomography (APT) was used to quantify the segregation behavior of REs to α-Al2O3 grain boundaries. Integrating the two techniques enables a higher level of site-specific analysis compared to the routine focused ion beam lift-out sample preparation method without t-EBSD. Needle-shaped APT specimens readily meet the thickness criterion for electron diffraction analysis. Transmission EBSD provides an immediate feedback on grain orientation and grain boundary location within the APT specimens to help target grain boundaries in the TGO. Segregation behavior of REs is discussed in terms of the grain boundary character and relative location in TGO.