bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effectiveness of Interventions on Early Neurodevelopment of Preterm Infants: A Systematic Review and Meta-Analysis
Authors: Aita Marilyn , Clifford-Faugère Gwenaëlle De , Lavallée Andréane , Feeley Nancy , Stremler Robyn , Rioux Emilie , Proulx Marie-Hélène 
Published: July 2020

Abstract
Background and ObjectiveAs preterm infants’ neurodevelopment is shaped by NICU-related factors during their hospitalization, it is essential to evaluate which interventions are more beneficial for their neurodevelopment at this specific time. The objective of this systematic review and meta-analysis was to evaluate the effectiveness of interventions initiated during NICU hospitalization on preterm infants’ early neurodevelopment during their hospitalization and up to two weeks corrected age (CA).MethodsThis systematic review referred to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses [PRISMA] guidelines and was registered in PROSPERO (CRD42017047072). We searched CINAHL, MEDLINE, PubMed, EMBASE (OVID), Cochrane Systematic Reviews, CENTRAL, and Web of Science from 2002 to February 2020 and included randomized controlled/clinical trials conducted with preterm infants born between 24 and 366/7 weeks of gestation. All types of interventions instigated during NICU hospitalization were included. Two independent reviewers performed the study selection, data extraction, assessment of risks of bias and quality of evidence.ResultsFindings of 12 studies involving 901 preterm infants were synthesized. We combined three studies in a meta-analysis showing that compared to standard care, the NIDCAP intervention is effective in improving preterm infants’ neurobehavioral and neurological development at two weeks CA. We also combined two other studies in a meta-analysis indicating that parental participation did not significantly improve preterm infants’ neurobehavioral development during NICU hospitalization. For all other interventions (i.e., developmental care, sensory stimulation, music and physical therapy), the synthesis of results shows that compared to standard care or other types of comparators, the effectiveness was either controversial or partially effective.Conclusions and Implications:The overall quality of evidence was rated low to very low. Future studies are needed to identify interventions that are the most effective in promoting preterm infants’ early neurodevelopment during NICU hospitalization or close to term age. Interventions should be appropriately designed to allow comparison with previous studies and a combination of different instruments could provide a more global assessment of preterm infants’ neurodevelopment and thus allow for comparisons across studies.Systematic Review Protocol Registration:Prospero CRD42017047072
Highly selective catalysis at the liquid-liquid interface micro-region
Authors: Zhang Yabin , Ettelaie Rammile , Binks Bernard P. , Yang Hengquan 
Published: July 2020

Abstract
Liquid-liquid interfaces in principle have the potential to regulate the selectivity of chemical reactions because of large polar gradients and highly anisotropic microenvironments, but have not yet been well exploited. Here, we present an oil-water interface-based strategy to boost catalytic selectivity, exemplified by selective hydrogenation of α,β-unsaturated aldehydes. The key to this success is the spatially controlled assembly of tubular catalyst particles at the narrow inner interfacial layer of Pickering emulsion water droplets in oil. The catalyst particles that are assembled at the inner interfacial layer of water droplets exhibit much higher selectivity to C=O hydrogenation than ones located either at the outer interfacial layer, in the interior of droplets or at the conventionally-called Pickering emulsion interface. 92.0−98.0% selectivity to the thermodynamically and kinetically unfavorable C=O hydrogenation over the C=C hydrogenation was achieved unexpectedly. The assembly strategy reported here and the unprecedented effects of interface-induced catalytic selectivity enhancement open up a liquid-liquid interface engineering route to tune reaction outcome.
Centripetal Cities: Using Big Data to Measure Job-Housing Separation Based on Employment-Residence-Commuting Trade-off
Authors: Lu Ming , Peng Chong 
Published: July 2020

Abstract
With the advent of postindustrial society, populations are becoming increasingly concentrated in large cities, especially in urban centers. Here we study the “centripetal city” phenomenon. With many new service-industry jobs concentrated in central cities, people face the trade-off between employment, residence, and commuting. Using multisource big data from Shanghai, China, we develop a new job–housing separation index to reflect the trade-off between employment, housing price and commuting. We demonstrate that residents in central urban areas within a radius of approximately 20 km from the central business district tolerate job–housing separation in exchange for lower housing prices. Recent data indicate that job–housing separation accounts for 20% of housing prices. Our framework outperforms previous metrics, which not only provides a basis for understanding the formation and evolution of spatial structure in large cities, but can also guide wise planning and managing interventions for the United Nations Sustainable Development Goals.
A novel optical biosensor for the early diagnosis of sepsis and severe COVID-19: the PROUD study
Authors: Doulou Sarantia , Leventogiannis Konstantinos , Tsilika Maria , Rodencal Matthew , Katrini Konstantina , Antonakos Nikolaos , Kyprianou Miltiades , Karofylakis Emmanouil , Karageorgos Athanassios , Koufargyris Panagiotis , Christopoulos Gennaios , Kassianidis George , Stamatelopoulos Kimon , Newberry Robert , Giamarellos-Bourboulis Evangelos J. 
Published: July 2020

Abstract
Background The accuracy of a new optical biosensor (OB) point-of-care device for the detection of severe infections is studied.Methods The OB emits different wavelengths and outputs information associated with heart rate, pulse oximetry, levels of nitric oxide and kidney function. At the derivation phase, recordings were done every two hours for three consecutive days after hospital admission in 142 patients at high-risk for sepsis by placing the OB on the forefinger. At the validation phase, single recordings were done in 54 patients with symptoms of viral infection; 38 were diagnosed with COVID-19.Results At the derivation phase, the cutoff value of positive likelihood of 18 provided 100% specificity and 100% positive predictive value for the diagnosis of sepsis. These were 87.5% and 91.7% respectively at the validation phase. OB diagnosed severe COVID-19 with 83.3% sensitivity and 87.5% negative predictive value.Conclusions The studied OB seems valuable for the discrimination of infection severity.
The determinants of the global competitiveness of the economy: a dynamic panel approach applied to the WAEMU country
Authors: SIGUE Moussa 
Published: July 2020

Abstract
This article examines the determinants of the overall competitiveness of the WAEMU economy from a dynamic panel approach over the period 2011–2017. The estimate by the method of generalized moments in system (GMM) Reveled that the delayed competitiveness of a period financial development, GDP per head, internal absorption and taxes on foreign trade affects positively and significantly the overall competitiveness of the WAEMU countries while economic openness, the rate of inflation and the quality of institutions have contributed negative and significant. It emerges from this work that an improvement in the overall competitiveness of the Union's economy imperatively requires accelerating the process of development of quality, the financial system as well as protecting local industries from external pressure to through a more adequate commercial policy taking into account the constraints linked to commercial agreements.
The strategies of perioperative management in orthopedic department during the pandemic of COVID-19
Authors: Zeng Hui , Li Guoqing , Weng Jian , Xiong Ao , Xu Chang , Yang Yifei , Wang Deli 
Published: July 2020

Abstract
Background
Coronavirus disease 2019 (COVID-19) broken out and spread rapidly nationwide at the beginning of 2020, which has brought huge impacts to people and work. The current situation of prevention and control is severe and urgent guidance for clinicians, especially for the medical systems. In the hope of providing a reference and recommendation for the prevention and control of the epidemic, we carried out research to improve the quality of patients care and prevention during this epidemic.
Methods
All of the involved health care personnel were rapidly trained to use personal protection equipment in our department. The managements of the surgery patients and association of two periods were described and analyzed. We reviewed and compared the patients’ discharged records in our database who underwent surgery in the Department of Bone & Joint Surgery at Peking University Shenzhen Hospital, who were discharged between January 1st to March 1st in 2019 and January 1st to March 1st in 2020. Both chi-squared test and Student’s t-test were performed to determine the relationship between the two periods.
Results
Analysis revealed that gender, surgery class, duration, and anaesthetization had no significantly differences between two periods (p༞0.05). However, age and blood loss had significant relationship of the two periods (p༜0.05).
Conclusions
The results of the study imply that we have been benefited from the strict flow charts in management of perioperative for orthopedic patients, which could be a valid tool in routine clinical practice and a consultation during pandemic of the COVID-19.
The First Allogeneic Transplantation of Human Umbilical Cord-derived Mesenchymal Stem/stromal Cells for Bronchopulmonary Dysplasia: Preliminary Outcomes in Four Vietnamese Infants
Authors: Thanh Liem Nguyen , Hong Thai Trieu Thi , Hong Hue Bui Thi , Hoang Van T. , Tuyet Anh Nguyen Thi , Hong Nhung Trinh Thi , Nguyen Kien T. , Hoang Duc M. 
Published: July 2020

Abstract
Background: Bronchopulmonary dysplasia (BPD) is a severe condition in premature infants that compromises theirlung function and necessitatesoxygen support. Despite major improvements in perinatal care minimizing the devastating effects, BPD remains the most frequent complication of extreme preterm birth. Our study reports the safety ofthe allogeneic administration of umbilical cord-derived mesenchymal stem/stromal cells (allo-UC-MSCs) and the preliminary efficacy of the treatment in four infants with established BPD.Methods: UC tissue was collected from a healthy donor, followed by propagation at the Stem Cell Core Facility at Vinmec Research Institute of Stem Cell and Gene Technology. UC-MSC culture was conducted under xeno-free and serum-free conditions. Four patients with established BPD were enrolled in this study between May 25, 2018, and December 31, 2018. All four patients received two intravenous doses of allo-UC-MSCs (1 million cells/kg patient body weight (PBW) per dose) with an intervening interval of 7 days. Safety and efficacy were evaluated during hospitalization and at 7 days and 1, 6 and 12 postdischargemonths.Results: No transplantation-associated severe adverse events or prespecified adverse events were observed in the four patients throughout the study period. At the time of this report, all patients had recovered from BPD and been weaned off of oxygen support. Chest X-rays and CT scans confirmed the dramatic reduction infibrosis.Conclusions: Allo-UC-MSC transplantation is safe and might improve respiratory function anddecrease lung fibrosis in preterm infants with established BPD.Trial registration: This preliminary study was approved by Vinmec International Hospital Ethics Board, approval number: 88/2019/QĐ-VMEC, registered 12 March 2019 - retrospectively registered.
Requirements Engineering of a Herpes Simplex Virus Patient Registry: Alpha Phase
Authors: Surodina Svitlana , Lam Ching , Grbich Svetislav , Milne-Ives Madison , Velthoven Michelle van , Meinert Edward 
Published: July 2020

Abstract
Background Collecting data from people with herpes simplex virus is challenging because of poor data quality, low user engagement, and concerns around stigma and anonymity. This project aimed to improve data collection for a real-world HSV registry by identifying predictors of HSV infection and selecting a limited number of relevant questions to ask new registry users in order to determine the HSV infection risk group. Methods. The US National Health and Nutrition Examination Survey (NHANES, 2015-16) database has confirmed HSV1 and HSV2 status of American participants (14-49 years) as well as a wealth of demographic and health-related data. Two datasets – for HSV1 and HSV2 – were formed using this database, and an anonymous lifestyle-data based questionnaire with a Random Forest algorithm was devised using Python. The algorithm was optimised to reduce the number of questions and to identify risk groups for HSV. Data was split into subsets to train and test the model. Results The model selected a reduced number of questions from the NHANES questionnaire that predicted HSV infection risk with high accuracy scores of 0.91 and 0.96 and high recall scores of 0.88 and 0.98 for HSV1 and HSV2 datasets, respectively. The number of questions was reduced from 150 to an average of 40, depending on age and gender, that together provides high predictability of the infection Conclusions This machine-learning algorithm for risk identification of people infected with HSV can be used in a real-world evidence registry to collect relevant lifestyle data. A current limitation is the absence of real user data and integration with electronic medical records that would enable model learning and improvement. Future work will explore model adjustments, anonymisation options, explicit permissions and standardised data schema that meet GDPR, HIPAA and third-party interface connectivity requirements.
Effects of social distancing on the spreading of COVID-19 inferred from mobile phone data
Authors: Khataee Hamid , Scheuring Istvan , Czirok Andras , Neufeld Zoltan 
Published: July 2020

Abstract
A better understanding of how the COVID-19 epidemic responds to social distancing efforts is required for the control of future outbreaks and to calibrate partial lock-downs. We present quantitative relationships between key parameters characterizing the COVID-19 epidemiology and social distancing efforts of nine selected European countries. Epidemiological parameters were extracted from the number of daily deaths data, while mitigation efforts are estimated from mobile phone tracking data. The decrease of the basic reproductive number (R0) as well as the duration of the initial exponential expansion phase of the epidemic strongly correlates with the magnitude of mobility reduction. Utilizing these relationships we decipher the relative impact of the timing and the extent of social distancing on the total death burden of the epidemic.
QIAstat-Dx Respiratory SARS-CoV-2 Panel Testing in Pooled Nasopharyngeal Specimens for COVID-19 Screening in a Low Prevalence Setting
Authors: Al-Hail Hamad , Mirza Faheem , Hashemi Alaa Al , Ahmad Muneera Naseer , Tang Patrick , Hasan Mohammad Rubayet 
Published: July 2020

Abstract
Background: COVID-19 screening in healthcare facilities plays a key role in the management of the ongoing pandemic. Rapid and reliable detection of the virus ensures early identification of cases and targeted measures to prevent transmission of the virus. QIAstat-Dx Respiratory SARS-CoV-2 Panel (QRSP) is a fully automated rapid multiplex PCR assay for common respiratory pathogens including SARS-CoV-2 that can provide sample to result in 70 minutes. However, these tests are less suitable as screening tests because of their high cost and lower throughput. Objective: In this study, we evaluated the performance of QRSP on pooled nasopharyngeal specimens to reduce the cost and improve the turn-around time (TAT) for reporting negative COVID-19 results in a low prevalence setting. Methods: Nasopharyngeal (NP) specimens were simultaneously tested by pooled QRSP (~10 specimens/pool) approach and by standard RT-qPCR, and the results were compared. TAT of reporting negative results with pooled QRSP tests were compared to that of standard testing.Results: In 208 specimens, QRSP test results with specimen pooling were in 96% agreement (Kappa=0.92; 95%CI= 0.75-1) with standard RT-qPCR. Despite pooling, CT values obtained with QRSP were correlated with that of standard RT-qPCR (Pearson correlation coefficient r=0.8343, p=0.0027). The median TAT for negative COVID-19 results by QRSP pooled approach was 2.8 hours (n=1305) compared to 5.4 hours by standard methods (n=4471).Conclusion: Pooled QRSP testing can be implemented for COVID-19 screening in low prevalence settings providing significant cost savings and improving TAT without affecting test quality.
JAK2 or CALR Mutations Status and Bone Marrow Histology in Patients with Essential Thrombocythemia in Chinese
Authors: ye xiupeng , Yimamniyaz Muhtar , LI Ye qiong , MA Jian , BAO Shen , HE Guang shen 
Published: July 2020

Abstract
Objectives: To characterize the clinical, and bone marrow histopathological features of essential thrombocythemia (ET) with different gene mutations status of CALR and JAK2.Methods: 159 patients of ET were centrally analyzed from January 2016 to December 2019, including 59 cases with CALR mutation, 96 JAK2 mutation, 2 MPL mutation, and 2 cases were triple-negative (TN). Bone marrow pathology observation and determination were performed by 2 immobilized experienced morphological specialists.Results: Compared to ET with JAK2 mutation, patients with CALR mutation were younger (p=0.000), showed lower count of white blood cell (WBC) and level of hemoglobin (p=0.001, p=0.001), and higher count of platelet (p=0.001). In the bone marrow (BM) biopsy, the median number of megakaryocyte and clusters of megakaryocytes in each high power field (HPF) of vision in patients with CALR mutations were lower than JAK2 mutations patients (p=0.001, p=0.001), thrombotic events in two group was different (5% vs 11.5%) (p=0.03).Conclusion: In Chinese ET patients, patients with CALR mutations were younger, and had lower levels of Hb, and count of WBC, the lower thrombotic evens although with higher platelet counts than those with JAK2 mutation. Patients with JAK2 mutations had a higher median number of megakaryocytes and median number of clusters of megakaryocytes, the clinical significance is worth exploring.
The Effect of CCCP on Mitophagy in CD4+CD25+ Regulatory T Cells in Human Peripheral Blood
Authors: Yang Yu-Jie , Karim Md Rezaul , Yuan Jang , Peng Xiao-Qian , Zeng Pei , Xu Yong , Lu Zu-Neng , Wang Yun-Fu 
Published: July 2020

Abstract
Objective: To investigate the effects and mechanisms of different concentrations of CCCP on mitophagy in human peripheral blood regulatory T cells. Methods: Tregs were isolated, identified, and then grouped, treating with CCCP at a concentration of 2.5 μM, 5 μM, 10 μM, 20 μM and 40 μM for 24h in an incubator. Flow cytometry detected the reactive oxygen species (ROS), mitochondrial membrane potential (MMP), mitochondrial quality, and fluorescence microscopy observed the co-localization of mitochondria and lysosomes in each group. Results: The purity of CD4+CD25+Tregs was (93.36 ± 1.87) %. With the increase of CCCP concentration, the ROS level gradually increased, while the MMP decreased gradually. About the mitochondria and lysosome fusion, the fluorescence intensity of orange (yellow) was the highest when the concentration of CCCP was in the range of 5-10 μM while decreased with the CCCP concentration continually increasing. The mitochondrial quality decreased with the increase of CCCP concentration. However, there was no significant difference between groups C, D and E. The mitochondrial quality of groups F and G were significantly lower than that of group E. Conclusions: With the concentration of CCCP gradually increased, the level of ROS in Treg cells increased, and MMP decreased, which promoted the mitophagy, mitochondrial quality maintains homeostasis. When ROS accumulated, and MMP decreased significantly, the mitophagy was inhibited, and the mitochondrial quality decreased significantly.
Covid-19 Pandemic: Application of Machine Learning Time Series Analysis for Prediction of Human Future
Authors: Chaurasia Vikas , Pal Saurabh 
Published: July 2020

Abstract
Purpose:Coronavirus disease is an irresistible infection caused by the respiratory disease Coronavirus 2 (SARS-CoV-2). It was first found in Wuhan, China, in December 2019, and has since spread universally, causing a constant pandemic. On June 3, 2020, 6.37 million cases were found in 188 countries and regions. Prevention is the only cure for this disease. A study was carried out on Coronavirous to observe the number of cases, deaths and recovery cases worldwide within a specific time period of five months. Based on this data, this research paper will predict the future spread of this infectious disease in human society. Methods:In our study, the data set was taken from WHO "Data WHO Coronavirus Covid-19 cases and deaths-WHO-COVID-19-global-data". This dataset contains information about the observation date, provenance/state, country/region and latest updates. In this article, we implemented several forecasting techniques: naive method, simple average, moving average, single exponential smoothing, Holt linear trend method, Holt Winter method and ARIMA, for comparison, and how these methods improve the Root mean square error score.Results:The naive method is best suited as described over all other methods. In the ARIMA model, utilizing grid search, we recognized a lot of boundaries that delivered the best-fit model for our time series data. By continuing the model, future predictions of death cases indicate that the number of deaths will increased by more than 600,000 by January 2020.Conclusion:This survey will support the government and experts in making arrangements for what is about to happen. Based on the findings of instantaneous model, these models can be adjusted to guide long time.