bluuebunny/crossref_metadata_2025_split huggingface dataset:
The first case of acute necrotizing encephalopathy associated with coronavirus disease in a child in Asia: a case report and literature review
Authors: Liang Xing-Zhen , Wang Ji-Gan , Tang Yu-Peng 
Published: March 2023

Abstract
Background
Acute necrotic encephalopathy（ANE） in children is a very rare complication of Severe Acute Respiratory Syndrome Coronavirus 2（SARS-CoV-2） infection, which has rarely been reported worldwide.
Case presentation
A 45-day-old girl was admitted to our hospital with fever and listlessness. A nose swab tested positive for novel coronavirus nucleic acid, and her cerebrospinal fluid was positive for SARS-CoV-2. An early head magnetic resonance imaging (MRI) scan indicated multiple abnormal signals in her bilateral cerebral hemispheres, and encephalitis was diagnosed. Twenty-three days after hospitalization, bilateral cerebral atrophy-like changes were observed by MRI, with multiple softening lesions in the bilateral cerebral hemispheres, accompanied by convulsions. She was admitted to hospital for mechanically-assisted ventilation, and her condition improved after treatment of her symptoms, including anti-epileptic medication, anti-infection drugs, glucocorticoids, and immunoglobulins.
Conclusions
Acute necrotic encephalopathy associated with novel coronavirus infection in children should be detected and treated as early as possible. Satisfactory short-term efficacy can be obtained, but long-term neurological sequelae often linger.
CRISPR/sgRNA-directed synergistic activation mediator (SAM) as a therapeutic tool for Parkinson´s disease
Authors: Narvaez-Perez Luis Fernando , Paz-Bermudez Francisco , Avalos-Fuentes Jose Arturo , Campos-Romo Aurelio , Floran-Garduño Benjamin , Segovia Jose 
Published: March 2023

AbstractParkinson`s disease (PD) is the second most prevalent neurodegenerative disease, and different gene therapy strategies have been used as experimental treatments. As a proof of concept for the treatment of PD, we used SAM, a CRISPR gene activation system, to activate the endogenous tyrosine hydroxylase gene of astrocytes to produce dopamine (DA) in the striatum of 6-OHDA-lesioned rats. Potential sgRNAs within the ratthpromotor region were tested, the expression of the Th protein was determined in the C6 glial cell line. Employing pseudo-lentivirus, the SAM complex and the selected sgRNA were transferred into cultures of rat astrocytes, and gene expression and Th protein synthesis were ascertained; furthermore, DA release into the culture medium was determined by HPLC. The DA-producing astrocytes were implanted into the striatum of 6-OHDA hemiparkinsonian rats. We observed motor behavior improvement in the lesioned rats that received DA-astrocytes compared to lesioned rats receiving astrocytes that did not produce DA. There were no differences between the DA-producing astrocytes group compared to the Sham (non-lesioned group) on the motor behavior tests. Our data indicate that the SAM-induced expression of the astrocyte´s endogenousthgene can generate DA-producing astrocytes that effectively reduce motor symptoms in a rat PD model.
Plasma Proteomic Determinants of Common Causes of Mortality
Authors: Sethi Anurag , Raj Anil , Wright Kevin , Melamud Eugene 
Published: March 2023

Abstract
In complex physiological systems, causal associations between protein concentration and outcomes can be difficult to determine, as proteins can be both effectors of outcomes and responders. This problem becomes especially difficult when the outcome of interest is death because this is often preceded by the failure of multiple physiological systems. Our aim in this study was to determine the extent to which variation in plasma protein abundance can predict all-cause and disease-specific mortality, and to assess the potential causal nature of any observed associations. To identify biomarkers for mortality, we analyzed the largest plasma proteome dataset compiled to date: 1,459 proteins measured in 54,306 individuals with over 12 years of prospective follow-up data from the UK Biobank (during which 5,032 mortality events occurred). We carried out a multivariate stability selection analysis of all biomarkers and identified 14 proteins that were robustly predictive of all-cause mortality. These biomarkers remained significant after accounting for pre-existing conditions and medication usage. Participants in the highest quintile of mortality risk prediction had ~25 times higher number of events as compared to participants in the lowest quintile. Moreover, these proteins are more robustly associated with mortality than established diagnostic biomarkers such as glycated hemoglobin (HbA1c) and cholesterol. To complement our epidemiological analyses, we quantified the genetic determinants of plasma protein abundance and assessed causality via Mendelian randomization and mediation analysis using polygenic scores. Integrating multiple lines of evidence, we prioritized eight plasma protein biomarkers causally associated with human lifespan.
Research on the influence of team performance on fan loyalty of Chinese Men's National Football Team: data analysis based on online comments
Authors: Zhou Yiheng , Wang Zerong , Hu Mengyue , Tian Jiajie , Xiao Yi 
Published: March 2023

Abstract

Sports play an important role in daily life. Every year, thousands of people watch sports events on TV or on the Internet, in which football events attract more attention. The performance of a team may have a huge impact on its fan loyalty. Therefore, the purpose of this study was to explore whether the performance of a team will affect the loyalty of fans, and how to affect the loyalty of fans. Applying web crawler to collect spectators’ comments on the performance of the Chinese Men's National Football Team in the 2022 FIFA World Cup Qualification, word frequency analysis, semantic network analysis and emotional analysis on these comments, it was concluded that the factors that affect fan loyalty from high to low were: fan attitude loyalty factor, fan identity factor, fan behavior loyalty factor, fan satisfaction factor. It was believed that this study could provide a reference for managers to improve fan loyalty.
Barriers and Facilitating Factors to Healthcare Accessibility among Nepalese Migrants during COVID-19 Crisis in Japan: An Exploratory Sequential Mixed Methods Study
Authors: Paudel Sushila , Bhandari Aliza K C , Gilmour Stuart , Lee Hyeon Ju , Kanbara Sakiko 
Published: March 2023

Abstract
Background
The COVID-19 pandemic has highlighted the need for global unity and timely access to healthcare for all including multilingual and intercultural societies. This study aimed to identify barriers to healthcare access due to the COVID-19 crisis among Nepalese migrants in Japan and explore ways to counter these barriers, both in routine and crisis situations.
Methods
This study used an exploratory sequential mixed-methods study design. The researchers conducted 11 focus group discussions including 89 participants and an online survey involving 937 respondents. The integration of focus group discussions and logistic regression analysis from the survey was reported via a ‘joint display’.
Results
26 themes on barriers to and six on facilitators of healthcare accessibility were identified by the focus group discussions among which 17 barriers like lack of knowledge of health insurance, limited operating hours of hospitals, language barriers, fear of catching the virus, fear of discrimination etc. had significant association in our logistic regression analysis after adjusting for all confounders. Similarly, the only facilitator that had a significant impact, according to the multivariable logistic regression analysis, was receiving health information from Nepali healthcare professionals (OR = 1.36, 95% CI= (1.01–1.82), p-value < 0.05).
Conclusion
The study suggests the need for a crisis information hub which could be coordinated by the Nepal embassy or concerned authorities, flexible policies for active deployment of Nepalese health workers and volunteers, accessible hotlines in the Nepali language, and incorporation of Nepali telehealth services in Japan.
Why should we strive to let them thrive? Exploring the links between health professionals thriving at work, employee ambidexterity and innovative behavior
Authors: Slåtten Terje , Mutonyi Barbara Rebecca , Lien Gudbrand 
Published: March 2023

Abstract

Background: The concept of thriving at work (TAW) has received increased interest within health services research in recent years. TAW embraces employees’ experience of being energized and feeling alive when employed in an organization. However, previous research has been limited mainly to the investigation of factors that promote TAW. Consequently, there is a lack of research linking TAW to potential outcomes. Based on this knowledge gap, the aim of this study was to examine links between TAW and two potential outcomes: employees’ individual innovative behavior (IIB) and employee ambidexterity (EA). Thus, the study contributes to a relatively neglected area within the domain of health services research.
Methods: In this cross-sectional study, a total of N = 258 Norwegian health professionals, in nine municipalities, were selected through convenience sampling. Results of the conceptual model was analyzed using partial least-squares structural equation modeling, with SmartPLS 3 software. The study tested both for the direct and the indirect relationships. Indirect relationships were achieved through bootstrap.
Results: The main results from the empirical study can be summarized as follows: (i) TAW was found to be positively linked to both EA (b = 0.46) and IIB (b = 0.22); (ii) TAW and EA explained about 30% (R2 = 0.29) the variance in IIB; (iii) The relationship between TAW and IIB was found to be mediated by the EA; (iv) TAW was positively linked to each of the two dimensions that constitute EA. However, when comparing the individual strength of linkages, TAW was found to be most strongly linked to the exploitation dimension of EA (b = 0.50) and less strongly linked to the exploration dimension of EA (b = 0.35).
Conclusions: Employees’ level of TAW in health care services is linked to desirable outcomes, in this study represented by EA and IIB. Managers should be aware of the development and changes in the levels of TAW of their individual employees. Consequently, continuously monitoring and cultivating the TAW of individual employees to determine whether they experience a sense of being energized and feeling alive as a member of the organization is an important practical implication. TAW is clearly a key to important outcomes. Managers should therefore strive to let all of their employees thrive.
Consensus-based statements for assessing clinical competency in podiatry-related work integrated learning
Authors: Causby Ryan Scott , Dars Sindhrani , Ho Malia , Walmsley Steven , Munteanu Shannon , Banwell Helen A 
Published: March 2023

Abstract
Background
The training of undergraduate and graduate-entry podiatry students in Australia and New Zealand includes practical sessions in a simulated and real-life clinical setting and Work Integrated Learning (WIL) comprising professional clinical placements. Student performance during WIL is evaluated by their Clinical Educators using clinical competency tools. Having a standardised and validated clinical assessment tool for WIL in podiatry would facilitate consistency in assessment, promote standardisation between programs, and ensure that all podiatry students are assessed against a set of criteria over the course of their clinical programs to the point of threshold clinical competency. Therefore, the aim of this study was to develop a series of consensus-based statements via Delphi technique as the first step towards developing guidelines to direct the assessment of podiatry students during WIL.
Methods
This study used a three-round modified Delphi consensus method. A panel of 25 stakeholders was sought. Specifically, representation from each of the universities in Australia and New Zealand who provide entry level programs, Clinical Educators, podiatry student representatives, new podiatry graduates and consumers (podiatrists hiring new graduates). The survey for Round 1 aimed for consensus and consisted of five open-ended questions. Questions one to three asked respondents to nominate what they considered were the important elements that needed to be assessed for podiatry students undertaking WIL for: Clinical performance/skills, Communication and Professional behaviour, Question 4 asked respondents to identify further/other elements of importance, whilst Question 5 asked a) how these elements should be evaluated and b) how should overall competency and ability to progress within the program be determined. Round 2 and 3 aimed to gather agreement and the questions were based on the responses from previous rounds.
Results
Twenty-five participants agreed to participate, 17 females (68%) and eight males (32%). The panel consisted of 10 podiatry educators (40%), nine Clinical Educators (36%), two student representatives (8%), two new podiatry graduates (8%) and two consumers (8%). From the 25 recruited participants, 21 responded to Round one, 18 to Round two and 17 in Round three. At the conclusion of the Delphi survey, 55 statements had reached consensus or agreement.
Conclusions
This Delphi study is the first of its kind for the podiatry profession to develop consensus-based statements regarding the assessment of WIL. Fifty-five statements pertinent to the assessment of WIL were identified. This is an important first step toward the development of a consistent WIL assessment tool which may be applied across entry-level podiatry programs across Australia and New Zealand.
Thermal Performance Evaluation of Bio-Bricks and Conventional Bricks in Residential Buildings in Aswan City, Egypt
Authors: El-Hady Rania Emad Abd , Mohammed Abdelaziz Farouk 
Published: March 2023

Abstract
From raw material extraction through final product disposal, the construction industry is integrally involved in every stage of the lifecycle of greenhouse gas emissions. A major cause of climate catastrophe is the increasing use of dirty energy sources to power our homes and businesses. This tremendous problem of global warming has now forced nations to act. To further address sustainability, they seek to reduce energy consumption and CO2 emissions by adopting more sustainable materials. The present tendency in scientific inquiry is to use waste resources to improve the properties of diverse materials. So, one of the most environmentally friendly alternatives to the standard procedure is to use agricultural waste to enhance the quality of building materials. This enhancement will modify the thermal properties of building materials like brick. After testing research scenarios, it seems that bio-building materials can save energy consumption in residential buildings by about 7%( rice straw–cement brick) and about 12%( sugarcane bagasse brick) in the operating phase, in addition to energy saving in manufacturing phase. All of these enhancing in traditional bricks decrease CO2 and greenhouse gases emissions.
S1PR1 regulates ovarian cancer cell senescence through the PDK1-LATS1/2-YAP pathway
Authors: Liu shengbing , PAN Wei-Wei , Cheng Shuqun , tao yiping , zhu hengyan , shi qianyuan , wang caixia , hua yuxin , Zhou Qi-Yin , zhou zilu , sun ying , Wang Xiaomin , wang yu , zhang yaling , guo yanjun , wang ziying , Che Xuan , Xu Chunwei , Zhang Xian-Chao , Heger Michal , tao suping , zheng xin , Xu Ying , liu aijun , Hu Han-Yin , ao lei 
Published: March 2023

Abstract
Cell senescence deters the activation of various oncogenes. Induction of senescence is therefore a potentially effective strategy to interfere with vital processes in tumor cells. Sphingosine-1-phosphate receptor 1 (S1PR1) has been implicated in various cancer types, including ovarian cancer. The mechanism by which S1PR1 regulates ovarian cancer cell senescence is currently elusive. In this study we demonstrate that S1PR1 was highly expressed in human ovarian cancer tissues and cell lines. S1PR1 deletion inhibited the proliferation and migration of ovarian cancer cells, which concurred with cell cycle arrest in the G1/S phase. S1PR1 deletion enhanced cisplatin-induced ovarian cancer cell senescence. Treatment of ovarian cancer cells with sphingosine-1-phosphate (S1P) led to increased expression of 3-phosphatidylinositol-dependent protein kinase 1 (PDK1), decreased expression of large tumor suppressor 1/2 (LATS1/2), and increased activity of the yes-associated protein (YAP). Opposite results were obtained in S1PR1-knockout or pharmacological inhibition in ovarian cancer cells. LATS1/2 inactivation caused by S1PR1 deletion increased YAP expression, inhibited senescence, and lead to increased S1PR1 expression. Transcriptional regulation of S1PR1 by YAP was confirmed by chromatin immunoprecipitation. Accordingly, the S1PR1-PDK1-LATS1/2-YAP pathway regulates ovarian cancer cell senescence and does so through a YAP-mediated feedback loop. S1PR1 constitutes a druggable target for the induction of senescence in ovarian cancer cells. Pharmacological intervention in the S1PR1-PDK1-LATS1/2-YAP signaling axis may augment the efficacy of standard chemotherapy.
Risk of endocarditis among patients with coagulase-negative Staphylococcus bacteremia
Authors: Ramos-Martínez Antonio , González-Merino Patricia , Suanzes-Martín Elena , Fuente Marta Murga-de la , Escudero-López Gabriela , Andrés-Eisenhofer Ane , Expósito-Palomo Esther , Gutierrez-Villanueva Andrea , Diego-Yagüe Itziar , Múñez Elena , Fernandez-Cruz Ana , Calderón-Parra Jorge 
Published: March 2023

Abstract

Purpose. Coagulase-negative staphylococci (CoNS) are not considered typical microorganisms causing infective endocarditis (IE). The objective was to determine variables associated with IE in patients with CoNS bacteremia. Methods. Analysis of the clinical characteristics of patients with CoNS bacteremia admitted to a university hospital in Madrid (Spain) from 2021 to December 2022 according to the occurrence of IE. Results. During the study period, 106 patients with CoNS bacteremia were detected. Twelve patients presented IE (11.3%). Echocardiogram was performed in all patients with IE and in 73 patients without IE (78.5%; p = 0.117). Of the 7 patients with heart valve prostheses, 5 patients (71.4%) had IE (p < 0.001). Patients with IE more frequently had positive blood cultures more than 12 hours after the first extraction (58.3% vs. 10.2%; p < 0.001). There was a tendency to associate community-acquired bacteremia with an increased risk of IE (p = 0.075). Attributable mortality was higher in patients with IE relative to all other patients (16.7% vs. 1.1%; p = 0.033). The multivariate analysis included having valve prosthesis and persistent bacteremia for more than 12 hours. Both were significant: valve prosthesis OR 38.6 (95% CI 5.8–258; p < 0.001) and persistent bacteremia OR 2.6 (95% CI 1.1–6.8; p = 0.046). Conclusion. A high percentage of cases of CNS bacteremia may be due to IE. Some of the variables related to a higher risk of IE, such as having a valvular prosthesis or presenting positive blood cultures for more than 12 hours, should lead us to rule out or confirm the presence of IE by performing echocardiography.
Evaluation and Ranking of Artificial Intelligence Algorithms for Performance Prediction in Sheep
Authors: Hamadani Ambreen , Ganai Nazir 
Published: March 2023

Abstract
In a rapidly transforming world, farm data is growing exponentially. Realizing the importance of this data, researchers are looking for new solutions to analyse this data and make farming predictions. Considering all this, this research was undertaken to evaluate machine learning (ML) algorithms as potential tools for evaluating 52-year data for sheep. Data was appropriately prepared was done before analysis. Winsorization was done for outlier removal. Principal component regression (PCA) and feature selection (FS) were done and based on that, three datasets were created viz. PCA, PCA+ FS, and FS bodyweight prediction. Among the 11 ML algorithms that were evaluated, the correlations between true and predicted values for MARS algorithm, Bayesian ridge regression, Ridge regression, Support Vector Machines, Gradient boosting algorithm, Random forests, XgBoost algorithm, Artificial neural networks, Classification and regression trees, Polynomial regression, K nearest neighbours and Genetic Algorithms were 0.993, 0.992, 0.991,0.991,0.991, 0.99, 0.99,0.984,0.984,0.957, 0.949.0.734 respectively for bodyweights. The top five algorithms for the prediction of bodyweights, were MARS, Bayesian ridge regression, Ridge regression, Support Vector Machines and Gradient boosting algorithm. A total of 12 machine learning models were developed for the prediction of bodyweights in sheep in the present study. It may be said that machine learning techniques can perform predictions with reasonable accuracies and can thus be viable alternatives to conventional strategies.
Semi-Supervised Segmentation of Retinoblastoma Tumors in Fundus Images
Authors: Rahdar Amir , Ahmadi Mohamad Javad , Naseripour Masood , Akhtari Abtin , Sedaghat Ahad , Hosseinabadi Vahid Zare , Yarmohamadi Parsa , Hajihasani Samin , Mirshahi Reza 
Published: March 2023

Abstract
Retinoblastoma is a rare type of cancer that can appear in young children as the most common primary intraocular malignancy. Studies in developed and some developing countries have shown that more than 90% of children with retinoblastoma have been successfully cured thanks to early detections. The most common presenting sign is an unusual white reflection in the pupil. Medical experts may choose different approaches and treatments for retinoblastoma, based on the size, shape and location of the tumors. Given the high dependence of the process on prior knowledge, the results may vary. This study aims to present a model based on semi-supervised machine learning, with segmentation results comparable to the labeling done by medical experts. To do so, the gaussian mixture model is utilized to detect abnormalities in nearly 4200 fundus images. Due to the high calculational cost of this process, the results of this approach are used to train a cost-effective model for the same purpose. The second method demonstrated excellent results in the case of extracting highly detailed boundaries in fundus images. Using Sørensen–Dice coefficient as the comparison metric for the tasks of segmentation, an average accuracy of 77.19% on evaluation data has been achieved.
On the Application of Acoustic Liners for the Reduction of Jet-Flap Installation Noise
Authors: Sirotto José R. L. N. , Bonomo Lucas A. , Cordioli Julio A. 
Published: March 2023

Abstract
In this work, an experimental and numerical analysis of the feasibility of using acoustic liners to reduce the acoustic far-field radiation of a subsonic jet near a flat plate is presented. The Boundary Element Method (BEM) with a wavepacket model of the jet noise and considering an acoustic impedance boundary condition was used to calculate the far-field noise for different conditions. A parametric optimization was performed in order to find an optimum impedance in terms of the Overall Sound Pressure Level (OASPL) reduction. Semi-empirical models of acoustic liners were then used to design a liner with an impedance as close as possible to the optimum impedance. The liners were built using additive manufacturing and tested in terms of their acoustic impedance and the resulting noise reduction when applied to a region of the flat plate. The BEM simulations, considering the impedance, showed good agreement with experimental data. Overall, by means of the BEM model, optimization and liner semi-empirical models, it was possible to design an acoustic liner which significantly reduced the installation noise at the far-field.