bluuebunny/crossref_metadata_2025_split huggingface dataset:
The student migration transition: an empirical investigation into the nexus between development and international student migration
Authors: Weber Tijmen , Van Mol Christof 
Published: April 2023

AbstractIn this paper, we analyze the relationship between development and outgoing international student mobility (ISM) for the years 2003–2018 using data from UNESCO. Starting from migration transition theory, we expect that development and outgoing migration follows an inverted U-shape due to changes in capabilities and aspirations of populations. As predicted, we find that outgoing ISM also follows this pattern. Probing deeper into this finding, we investigated whether students from countries of different levels of development favor different destination countries, focusing on destination countries’ academic ranking, GDP per capita, and linguistic and colonial ties. We find that these destination country characteristics indeed have different effects for students from origin countries with different stages of development, and that these effects cannot simply be reduced to a dichotomy between developed/developing countries. Together, the findings highlight the nonlinearity of ISM processes. In turn this opens up new avenues of research regarding the diversity of international student populations.
Health risk management framework for heavy metals and cyanide in Kwekwe city of Zimbabwe: a mixed-method study protocol
Authors: Ngwenya Sheunesu , Mashau Ntsieni S. , Mhlongo Emmanuel S. , Traoré Afsatou N. , Mudau Azwinndini G. 
Published: April 2023

Abstract
Background
According to WHO, in 2015, over 35% of ischaemic heart disease, the leading cause of death and disability worldwide, and about 42% of strokes, the second largest contributor to global mortality, could have been prevented by reducing or removing exposure to chemical pollutants. Heavy metal and cyanide pollution are prevalent in developing countries, especially in sub-Saharan Africa where the effects of industrial pollutants are more severe, partly due to poor regulation. In Zimbabwe, the mining industry alone contributed to 25% of occupational conditions and injuries in 2020. Therefore, to mitigate these problems, this study seeks to develop a health risk management framework for heavy metals and cyanide pollution in the industrial city of Kwekwe.

Methods
The convergent parallel mixed-method study design will be utilised. Qualitative and quantitative data will be collected, analysed, and merged in order to inform the development of the risk framework. An analytical cross-sectional survey would be used to determine levels of heavy metals in surface water, soil, and vegetables. Free cyanide will be determined in surface water samples only. The phenomenological qualitative inquiry will be used to investigate health events and risks associated with potentially toxic pollutants (heavy metals and cyanide) to describe or interpret participants' lived experiences. The qualitative and quantitative results will be used to develop and validate the framework to manage identified health risks. For data analysis, statistical analysis will be used in the quantitative study, while thematic analysis will be used in the qualitative study. The study was approved by the University of Venda Ethics Committee (Registration Number FHS/22/PH/05/2306) and the Medical Research Council of Zimbabwe (Approval Number MRCZ/A/2944). All ethical principles will be adhered to throughout the study in accordance with the Helsinki Declaration.

Discussion
While existing risk management frameworks have significantly contributed to human and environmental health protection, novel and comprehensive frameworks need to be developed to counter the ever-dynamic and evolving risks associated with chemical pollutants. If the management framework is successfully developed, it could offer an opportunity for the prevention and control of potentially toxic elements.
Access to parenting leaves for recent immigrants: a cross-national view of policy architecture in Europe
Authors: Duvander Ann-Zofie , Koslowski Alison 
Published: April 2023

AbstractParenting leaves play a crucial part in supporting women’s labour force participation as well as men’s participation in infant care. A major question is who has access to such leave policies and earlier research has pointed out large variations in eligibility. This article focuses on the leaves that are available to recently arrived immigrants, parents who are in a specific situation of being in transition between systems. Using information from the database of leave policies, theInternational Review of Leave Policies and Research 2021(leavenetwork.org), we map eligibility and entitlements in Belgium, Germany, Italy, Spain, Sweden and the UK, all countries with tiered systems of parenting leave entitlement as well as relatively large recent immigrant populations. Our findings indicate that the leave policies available to recent immigrants can be patchwork in nature and of a very different generosity to the benefits available to many other parents. In addition, the benefits available to this group are often (even) more gendered and perhaps suggest a fall back to a policy logic of maternalism. We discuss how parenting leave may facilitate (or not) an exit from the early vulnerable stage that many immigrant parents face during the first few years in a new country.
Exploring educational impacts among pre, during and post COVID-19 lockdowns from students with different personality traits
Authors: Zheng Yong , Zheng Shuaiqi 
Published: April 2023

AbstractThe influence of personality traits on educational outcomes has been widely recognized and studied. Research has explored its effects on factors such as student satisfaction, academic anxiety, and dishonesty, particularly during the COVID-19 pandemic. However, there has been a lack of studies comparing the learning behaviors and performance of students with different personality traits during the pre, during, and post-COVID-19 lockdown periods. This study fills this gap by analyzing the differences in academic metrics, such as class grades and assignment submissions, among students with varying personality traits during different lockdown periods. Our research, based on a dataset of 282 graduate students in the USA, identified correlations and patterns between lockdown periods, personality traits, and academic metrics. For example, the class grades and the rate of late submissions were affected by different lockdown periods. Students with lower degree in extraversion and agreeableness made less attempts in assignment submissions. These findings can assist educators in identifying impacted students and developing effective teaching strategies at early stage in future incidents.
Content validation and psychometric evaluation of the Angioedema Quality of Life Questionnaire for hereditary angioedema
Authors: Vanya Magdalena , Watt Maureen , Shahraz Saeid , Kosmas Charlotte E. , Rhoten Stephanie , Costa-Cabral Sara , Mendivil Joan , Devercelli Giovanna , Weller Karsten 
Published: April 2023

Abstract
Background
There is considerable burden of illness in hereditary angioedema (HAE). However, instruments to assess health-related quality of life (HRQoL) in HAE are limited. The Angioedema Quality of Life Questionnaire (AE-QoL) was developed to measure HRQoL in patients with recurrent angioedema; the validity of the AE-QoL in patients with HAE is described.

Methods
To identify disease-related experiences with a focus on the impact of HAE on HRQoL, interviews were conducted with a group of clinician experts and patients with HAE from Canada, France, Germany, Spain, the United Kingdom, and the United States, along with a targeted literature review. Concepts were mapped to the AE-QoL to assess item relevance, interpretation, and conceptual coverage. Cognitive interviews assessed item clarity and relevance. A psychometric validation was performed using data from a phase 3 trial.

Results
Interviews were conducted with seven clinicians and 40 adult patients. Patients reported 35 unique impacts of HAE on their lives, the most frequent being on work/school, social relationships, physical activities, and emotions, particularly fear/worrying and anxiety. Saturation for these impacts was reached, and all concepts covered in the AE-QoL were reported during the interviews. Patients agreed that the questionnaire items and response options were clear and relevant, and the 4-week recall period was appropriate. The psychometric validation included data from 64 patients. For AE-QoL total scores, excellent internal consistency (Cronbach’s alpha > 0.90), test-retest reliability (intraclass coefficient > 0.80), convergent validity with the Sheehan Disability Scale (r = 0.663), divergent validity with the EQ-5D-5L index (r = 0.292) and EQ-VAS (r = 0.337), and known-groups validity (p < 0.0001; ɳ2 = 0.56) were demonstrated.

Conclusions
Qualitative and psychometric analyses showed that the AE-QoL is a reliable and valid instrument for measuring HRQoL in adult patients with HAE from six countries.
Exploring best-matched embedding model and classifier for charging-pile fault diagnosis
Authors: Wang Wen , Wang Jianhua , Peng Xiaofeng , Yang Ye , Xiao Chun , Yang Shuai , Wang Mingcai , Wang Lingfei , Li Lin , Chang Xiaolin 
Published: April 2023

AbstractThe continuous increase of electric vehicles is being facilitating the large-scale distributed charging-pile deployment. It is crucial to guarantee normal operation of charging piles, resulting in the importance of diagnosing charging-pile faults. The existing fault-diagnosis approaches were based on physical fault data like mechanical log data and sensor data streams. However, there are other types of fault data, which cannot be used for diagnosis by these existing approaches. This paper aims to fill this gap and consider 8 types of fault data for diagnosing, at least including physical installation error fault, charging-pile mechanical fault, charging-pile program fault, user personal fault, signal fault (offline), pile compatibility fault, charging platform fault, and other faults. We aim to find out how to combine existing feature-extraction and machine learning techniques to make the better diagnosis by conducting experiments on realistic dataset. 4 word embedding models are investigated for feature extraction of fault data, including N-gram, GloVe, Word2vec, and BERT. Moreover, we classify the word embedding results using 10 machine learning classifiers, including Random Forest (RF), Support Vector Machine, K-Nearest Neighbor, Multilayer Perceptron, Recurrent Neural Network, AdaBoost, Gradient Boosted Decision Tree, Decision Tree, Extra Tree, and VOTE. Compared with original fault record dataset, we utilize paraphrasing-based data augmentation method to improve the classification accuracy up to 10.40%. Our extensive experiment results reveal that RF classifier combining the GloVe embedding model achieves the best accuracy with acceptable training time. In addition, we discuss the interpretability of RF and GloVe.
Constrained large-eddy simulation of laminar-turbulent transition in compressible channel flows
Authors: Chen Sanmu , Jiang Zhou , Wan Minping , Chen Shiyi 
Published: April 2023

AbstractAn improved approach for constrained large-eddy simulations (CLES) of wall-bounded compressible transitional flows is proposed by introducing an intermittency factor. The improved model is tested and validated with compressible channel flows at various Mach numbers and Reynolds numbers that are transitioning from laminar to turbulent states. The improved model is compared against traditional dynamic Smagorinsky model (DSM) and Direct Numerical Simulations (DNS), where the improved model is in better agreement with DNS results than traditional DSM model, in terms of mean velocity profiles, total Reynolds stress and total heat flux. Therefore, the proposed method can be used to accurately predict the temporal laminar-turbulent transition process of compressible wall-bounded flows.
Effects of kimchi on human health: a scoping review of randomized controlled trials
Authors: Song Eunhye , Ang Lin , Lee Hye Won , Kim Myung-Sunny , Kim You Jin , Jang Daija , Lee Myeong Soo 
Published: April 2023

AbstractKimchi is a Korean traditional fermented food which is one of the most popular ethnic fermented foods in Korea and consumed daily. The purpose of this review was to systematically evaluate all prospective clinical studies of kimchi and to estimate the effectiveness of kimchi for health in general. Three English databases, four Korean databases, and two clinical trial registries were searched until November 7, 2022. Two independent reviewers extracted and tabulated the data. The outcomes of this review were any health-related outcomes that studied on kimchi or kimchi-derived probiotics. Eleven randomized controlled trials (RCTs) were included in this review, with 638 participants enrolled in total and 608 participants completing the trials. Most of the included RCTs examined serum lipid profiles and clinical parameters and found that kimchi interventions showed decrease in serum lipids, cholesterols and body fats. Kimchi interventions may be safe and effective treatment option for the treatment of general health, obesity, and irritable bowel syndrome, regardless of the lack of adequate trials. In the future, research that can verify the conflicting results on the health benefits of kimchi should be conducted rigorously to provide the scientific basis for the benefits of kimchi.
Epidemiology of primary and revision total knee arthroplasty: analysis of demographics, comorbidities and outcomes from the national inpatient sample
Authors: Nham Fong H. , Patel Ishan , Zalikha Abdul K. , El-Othmani Mouhanad M. 
Published: April 2023

Abstract
Introduction
Primary total knee arthroplasty (TKA) is a preferred treatment for end-stage knee osteoarthritis. In the setting of a failed TKA, revision total knee arthroplasty (rTKA) acts as a salvage procedure and carries a higher risk compared to primary TKA. Given increased interest in postoperative outcomes from these procedures, a thorough understanding of the demographics, comorbidities, and inpatient outcomes is warranted. This study aimed to report the epidemiological data of demographics, comorbidity profiles and outcomes of patients undergoing TKA and rTKA.

Methods
A retrospective review of NIS registry discharge data from 2006 to 2015 third quarter was performed. This study included adults aged 40 and older who underwent TKA or rTKA. A total of 5,901,057 TKA patients and 465,968 rTKA patients were included in this study. Simple descriptive statistics were used to present variables on demographics, medical comorbidities, and postoperative complications.

Results
A total of 5,901,057 TKA and 465,968 rTKA discharges were included in this study, with an average age of 66.30 and 66.56 years, and the major payor being Medicare, accounting for 55.34% and 59.88% of TKA and rTKA cases, respectively. Infection (24.62%) was the most frequent reason for rTKA, and was followed by mechanical complications (18.62%) and dislocation (7.67%). The most common medical comorbidities for both groups were hypertension, obesity, and diabetes. All types of inpatient complications were reported in 22.21% TKA and 28.78% of rTKA cases. Postoperative anemia was the most common complication in both groups (20.34% vs. 25.05%).

Conclusions
Our data demonstrated a 41.9% increase in patients receiving TKA and 28.8% increase in rTKA from the years 2006 to 2014. The data showed a 22.21% and a 28.78% “complication” rate with TKA and rTKA, with postoperative anemia being the most common complication. The top 3 medical comorbidities were hypertension, obesity, and diabetes for both groups and with increased focus on perioperative optimization, future analyses into preoperative medical optimization, and improved primary arthroplasty protocol may result in improved postoperative outcomes.
Sleep quality among psoriasis patients: excluding the immunosuppressive therapy effect
Authors: Khalaf Ola O. , El-Komy Mohamed M. , Kattaria Dina B. , El-Mesidy Marwa S. 
Published: April 2023

Abstract
Background
Psoriasis is associated with several comorbidities and different psychological disorders including anxiety and depression. Psoriasis may also affect sleep quality and consequently the quality of life. The use of immunosuppressants used in the treatment of psoriasis were also reported to increase insomnia, so the purpose of the study is to assess the quality of sleep and degree of insomnia in patients with psoriasis not on any systemic or immunosuppressive therapy compared to controls and to examine the relation between sleep quality, insomnia with depressive, and anxiety symptoms. One hundred psoriasis cases, not receiving immunosuppressive therapy, and 80 apparently healthy subjects were recruited as controls. We assessed quality of sleep, insomnia and screened for anxiety and depressive symptoms among psoriasis patients and healthy controls; any patient on immunosuppressant therapy was excluded.

Results
Quality of sleep using Pittsburgh Sleep Quality Index, insomnia using Insomnia Severity Index, depression using Beck Depression Inventory, and anxiety using Taylor Anxiety Manifest Scale were statistically significant higher among psoriasis patients than healthy controls all with p value p < 0.001. Depressive symptoms were significantly positively correlated with Pittsburgh Sleep Quality Index (PSQI) global score (p = 0.045) and subjective sleep quality subscale (p = 0.005). Also, BDI scores was significantly positively correlated with insomnia scores as measured by ISI (p = 0.026).
Anxiety symptoms were significantly positively correlated with global score of PSQI (p = 0.004) and its subscale (subjective sleep quality, sleep latency, sleep disturbance, use of medications and daytime dysfunction) and insomnia (p = 0.001).

Conclusions
Abnormal sleep quality and insomnia were detected in patients with psoriasis not using any immunosuppressive or systemic therapy, and this could be due to the psoriasis disease itself or due to the associated anxiety and depression associated with psoriasis. Screening for psychiatric symptoms specially that of depression, anxiety, and sleep among patients with psoriasis is of utmost importance for better quality of life. Thus, collaboration between dermatologists and psychiatrists may show better life quality for these cases and better treatment outcomes.
Serum Interleukin-34 in Psoriatic arthritis patients and its correlation with disease 1 activity, and subclinical atherosclerosis
Authors: Tabra Samar Abdalhamed , Abu-Zaid Mohammed Hassan , Elsharaby Radwa Mahmoud , Maria Dina , ElMiedany Samah 
Published: April 2023

Abstract
Background
Psoriatic arthritis (PsA) is a chronic multi-domains autoimmune inflammatory disorder. Patients with PsA have a significant prevalence of cardiovascular affection. Upregulated Interleukin-34 (IL-34) has been seen in many autoimmune disorders, and also in atherosclerotic plaques. The aim of this observational case–control study was to evaluate the serum levels of il-34 in PsA patients and correlate between its level and disease activity, and subclinical cardiovascular affection.

Results
In this study, there were 70 PsA patients and 70 healthy volunteers, 43 patients were on Methotrexate, 6 on sulfasalazine, while 40 patients were on biological therapy either monotherapy or in combination with DMARDs. There were significant differences between PsA patients and controls in ESR, high sensitivity-CRP, total lipid profile, and IL-34 levels (p < 0.05) while there were no significant differences regarding Echo and ECG results. Also, we found that there was significant elevation in DAPSA score, hs-CRP, IL-34, and cIMT in the active patients when we compared them with inactive patients. IL-34 had significant positive correlations with DAPSA score, hs-CRP, and cIMT (r = 0.654, 0.579, and 0.658 respectively).

Conclusion
Serum interleukin-34 is an important marker in PsA as its levels were elevated in PsA patients and were correlated with disease activity and subclinical cardiovascular affection.
First report of wilt disease in cashew (Anacardium occidentale L.) caused by Fusarium decemcellulare in Kerala, India
Authors: Manjusha A. V. Meera , Laya P. K. , Premachandran Amal , Veena M. 
Published: April 2023

Abstract
Background
The incidence of wilt disease of cashew (Anacardium occidentale L.) caused by Fusarium sp. has recently emerged in two-year-old cashew trees in an experimental field at the Regional Agricultural Research Station, Pilicode, in the Kasaragod district of Kerala, India. The disease was characterized initially by chlorosis of foliage and shoots, followed by necrosis and wilting, with internal symptoms including vascular necrosis, eventually resulting in complete plant mortality.

Methods
A fungal pathogen was isolated repeatedly from the infected vascular tissues onto potato dextrose agar medium. Symptomology, cultural, morphological and molecular studies were performed to characterize the pathogen causing the disease.

Results
In culture, the colony of fungus was white, later turning pink. The fungus produced both macro and micro conidia in culture. Molecular characterization revealed the identity of the isolates as Fusarium decemcellulare Brick. Pathogenicity of the isolate was confirmed in cashew seedlings, thereby demonstrating Koch’s postulates.

Conclusion
To our knowledge, this is the first record of wilt disease of cashew caused by F. decemcellulare in India. The culture of the fungus has been deposited with the National Fungal Culture Collection of India at Agharkar Research Institute, Pune, India with accession number NFCCI 4801, and sequence of the fungus was deposited at GenBank of NCBI with accession number OP942472.
Elasto-magneto-electric (EME) sensors for force monitoring of prestressing tendons
Authors: Zhang Ru , Duan Yuanfeng , Xing Li , Zhao Yang , Wei Wei , Hu Xiaoyang 
Published: April 2023

AbstractStress/force monitoring of prestressing tendons is challenging but crucial to the evaluation of the safety of structures in which they are used. To this end, a smart elasto-magneto-electric (EME) sensor based on elasto-magnetic (EM) and magneto-electric (ME) effects is proposed for noncontact field monitoring of the absolute stress in these steel tendons. In this paper, our research in design, implementation, and application of the EME sensory system for non-destructive monitoring of prestressing tendons is overviewed. The results confirm that the developed EME sensor possesses high repeatability, ease of operation and maintenance, corrosion resistance, and long expected service-life. It is demonstrated that the proposed EME sensory technology is feasible for the stress/force monitoring of prestressing tendons in both new and existing structures and the EME sensory system is reliable and stable.