bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sentiment Analysis of User Feedback on the HSE Contact Tracing App
Authors: Rekanar Kaavya , Buckley Jim , Buckley Sarah , Abbas Dr. Manzar , Beechum Sarah , Chochlov Muslim , Fitzgerald Brian , Glynn Liam , Johnson Dr. Kevin , Laffey John , McNicholas Bairbre , Nuseibeh Bashar , O'Connell James , O'Keeffe Derek , O'Callaghan Mike , Razzaq Abdul , Richardson Dr. Ita , Simpkin Andrew , Storni Cristiano , Tsvyatkova Damyanka , Walsh Jane , Welsh Thomas , O'Keeffe Ian R. 
Published: October 2020

Abstract
Digital Contact Tracing (DCT) is seen as a key tool in reducing the propagation of viruses such as Covid-19, but it requires uptake and participation in the technology across a large proportion of the population to be eﬀective. While we observe the pervasive uptake of mobile device usage across our society, the installation and usage of contact tracing apps developed by governments and health services globally have faced diﬃculties. These diﬃculties range across the user-populations’ issues with the installation of the apps, us-ability and comprehension challenges, trust in the eﬃcacy of the technology, performance issues such as the eﬀect on battery life, and concerns about data protection and privacy. In this work, we present our findings from a comprehensive review of the online user feedback relating to the initial release of the HSE Contact Tracker app, in an eﬀort to inform later iterations and thus help sustain and potentially increase usage of the technology. While this might seem quite tightly scoped to the Irish context only, this app provides the basis for apps in many jurisdictions in the United States and Europe. Our findings suggest a largely positive sentiment towards the app, and that users thought it handled data protection and transparency aspects well. But feedback also suggested that users would appreciate more targeted feedback,more proactive engagement and also suggested that both the ‘android-battery’ issue and the backward-compatibility issue with iPhones seriously impacted retention/uptake of the app respectively.
Coronavirus Disease (COVID-19) Global Prediction Using Hybrid Artificial Intelligence Method of ANN Trained with Grey Wolf Optimizer&nbsp;&nbsp;
Authors: Ardabili Sina , Mosavi Amir , Band Shahab S. , Varkonyi-Koczy Annamaria R. 
Published: October 2020

Abstract
Advancement of the novel models for time-series prediction of COVID-19 is of utmost importance. Machine learning (ML) methods have recently shown promising results. The present study aims to engage an artificial neural network-integrated by grey wolf optimizer for COVID-19 outbreak predictions by employing the Global dataset. Training and testing processes have been performed by time-series data related to January 22 to September 15, 2020 and validation has been performed by time-series data related to September 16 to October 15, 2020. Results have been evaluated by employing mean absolute percentage error (MAPE) and correlation coefficient (r) values. ANN-GWO provided a MAPE of 6.23, 13.15 and 11.4% for training, testing and validating phases, respectively. According to the results, the developed model could successfully cope with the prediction task.
Optimizations for Identifying Reference Genes in Bone and Cartilage Bioengineering
Authors: Xiong Fei , Cheng Xiangyun , Zhang Chao , Klar Roland Manfred , He Tao 
Published: October 2020

Abstract
Background：Quantitative reverse transcription polymerase chain reaction (qRT-PCR) is commonly considered as the best-established technique for gene expression assay. However, appropriate reference gene set selection remains the critical and challenging subject for the proper understanding of gene expression pattern. Mixed opinions pertain in how to choose optimal reference gene set according to the Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guideline. Therefore, the purpose of this study was to investigate which schemes was the most feasible for the identification of reference genes in bone and cartilage bioengineering experiments. In this study, rat bone mesenchymal stem cells (rBMSCs), skeletal muscle tissue and adipose tissue were utilized, undergoing either chondrogenic or osteogenic induction, to investigate the optimal reference gene set identification scheme ensuring the stable and accurate interpretation of gene expression in bone and cartilage bioengineering. Results：The stability and pairwise variance of eight candidate reference genes were analyzed using geNorm. The V0.15- vs. Vmin-based normalization scheme in rBMSCs had no significant effect on the eventual normalization of target genes. In terms of the muscle tissue, the results of the correlation of NF values between the V0.15 and Vmin schemes and the variance of target genes expression levels generated by these two schemes showed different schemes may have a significant effect on the eventual normalization of target genes. Three selection schemes were adopted in terms of the adipose tissue, including the three optimal reference genes (Opt3), V0.20 and Vmin schemes, and the analysis of NF values and eventual normalization of target genes showed that the different selection schemes have significant effect on the eventual normalization of target genes.Conclusions：Based on the results, the proposed cut-off value of Vn/n+1 under 0.15, according to geNorm algorithm, should be considered with caution, especially in certain tissue types such as skeletal muscle and adipose tissue. Instead, the minimum Vn/n+1 should be used as the cut-off for choosing the optimal reference gene set especially when the stability and variation of candidate reference genes in a specific study are unclear.
On the study of full transmission dynamics of COVID-19 in Wuhan
Authors: You Chong , Gai Xin , Zhang Yuan , Zhou Xiao-Hua 
Published: October 2020

Abstract
The current outbreak of coronavirus disease 2019 (COVID-19) has quickly spread across countries and become a global crisis. Understanding the transmission mechanism and effects of interventions is critical to the prevention and control of the COVID-19 pandemic. A recent study by Hao et al (2020) provided an interesting perspective on the transmission dynamics of COVID-19 in Wuhan and inferred that 87% of the infections before 8 March 2020 were not laboratory-confirmed. However we believe that there are a few major issues due to the vagueness in the definitions of compartments and inconsistence in the settings of parameters. In this paper, we clarify the definitions of the model compartments and raise questions in regard to the underlying homogenous assumption within compartments and settings of the parameters in the dynamic model by Hao et al (2020), and furthermore offer a modified model to resolve these potential limitations. Compared with the model in Hao et al (2020), the active virus carriers were predicted to persist for a longer period in our model which is well consistent with the active virus carriers detected in Wuhan in mid-May. Our model suggests that control measures cannot be easily lifted while continuous efforts are needed to contain the spread of the pandemic; a universal PT-PCR screening is essential to detect hidden cases before lifting control measure. In addition, we also provide a possible solution to solve the problem of heterogeneity transmission rate in disease courses.
Psychosocial Response Protocol for Pandemic Management&nbsp;
Authors: S Anupama 
Published: October 2020

Abstract
Covid-19 is re-defining life globally. Human beings are trying to address the social, economic and political implications of the pandemic through various policy initiatives. But, the psychosocial impact of the pandemic remains implicit and hence unaddressed. The pandemic has upended the psychosocial equilibrium of society. It is crucial to restore this lost equilibrium through effective psychosocial management of the pandemic. This study tries to establish the need for such an approach and suggest ways for accomplishing the same. In the first part, an attempt is made to review the psychosocial impact of the pandemic. The second part undertakes a case examination of the acclaimed ‘Kerala model’. The model specific individual, community and institutional level initiatives that helped in effective pandemic management are analysed. Such case specific explorations can help to develop Psychosocial Response models. This can serve as a standard guideline for dealing with future emergencies and help mainstream psychosocial wellbeing. Such models can improve the efficiency and effectiveness of community to manage future emergencies.
Prevalence and prognostic value of cardiac troponin in elderly patients hospitalized for COVID-19
Authors: Marzo Vincenzo De , Biagio Antonio Di , Bona Roberta Della , Vena Antonio , Arboscello Eleonora , Emirjona Harusha , Mora Sara , Giacomini Mauro , Rin Giorgio Da , Pelosi Paolo , Bassetti Matteo , Ameri Pietro , Porto Italo 
Published: October 2020

Abstract
Background: Increases in cardiac troponin (cTn) in coronavirus disease 2019 (COVID-19) have been associated with worse prognosis. Nonetheless, data about the significance of cTn in elderly subjects with COVID-19 are lacking.Methods: From a registry of consecutive patients with COVID-19 admitted to a hub hospital in Italy from 25/02/2020 to 03/07/2020, we selected those ≥60 year-old and with cTnI measured within 3 days from the molecular diagnosis of SARS-CoV-2 infection. When available, a second cTnI value within 48 hours was also extracted. The relationship between increased cTnI and all-cause in-hospital mortality was evaluated by a Cox regression model and restricted cubic spline functions with three knots.Results: Of 343 included patients (median age 75.0 (68.0-83.0) years, 34.7% men), 88 (25.7%) had cTnI above the upper-reference limit (0.046 µg/L). Patients with increased cTnI had more comorbidities, greater impaired respiratory exchange and higher inflammatory markers on admission than those with normal cTnI. Furthermore, they died more (73.9% vs. 37.3%, p<0.001) over 15 (6-25) days of hospitalization. The association of elevated cTnI with mortality was confirmed by the adjusted Cox regression model (HR: 1.61, 95%CI: 1.06-2.52, p=0.039) and was linear until 0.3 µg/L, with a subsequent plateau. Of 191 (55.7%) patients with a second cTnI measurement, 49 (25.7%) had an increasing trend, which was not associated with mortality (univariate HR 1.39, 95%CI 0.87-2.22, p=0.265).Conclusions: In elderly COVID-19 patients, an initial increase in cTn is common and predicts a higher risk of death. Serial cTn testing may not confer additional prognostic information.
Impacts of the 2008 Great Recession on dietary intake: a systematic review
Authors: Jenkins Rosemary H. , Vamos Eszter P. , Taylor-Robinson David , Millett Christopher , Laverty Anthony A. 
Published: October 2020

Abstract
Background: The 2008 Great Recession significantly impacted economies and individuals globally, with potential impacts on food systems and dietary intake. We systematically reviewed evidence on the impact of the Great Recession on children’s and adults’ dietary intake globally and whether disadvantaged individuals were disproportionately affected.Methods: We searched seven databases and relevant grey literature through June 2020. Longitudinal quantitative studies with the 2008 recession as the exposure and any measure of dietary intake (energy intake, dietary quality and food/macronutrient consumption) as outcomes were eligible for inclusion. Eligibility was independently assessed by two reviewers. The Newcastle Ottawa Scale was used for quality assessment. We undertook a random effects meta-analysis for changes in energy intake. Harvest plots were used to display and summarise study results for other outcomes. The study was registered with PROSPERO (CRD42019135864).Results: Forty-one studies including 2.6 million people met our inclusion criteria and were heterogenous in both methods and results. Ten studies reported energy intake, 11 dietary quality, 34 food intake, and 15 macronutrient consumption. The Great Recession was associated with a mean reduction of 39.9 calories per adult equivalent per day (95% Confidence Interval: -119.9, 40.2) in the meta-analysis of seven studies. We found reductions in dietary quality and small decreases in fruit and vegetable intake. We also found reductions in intake of meat and fish, fast food, sugary products, and soft drinks alongside an increase in the consumption of eggs and legumes. Impacts on macronutrients were inconclusive. Of 17 studies examining inequalities, 14 found that the Great Recession was associated with greater reductions in dietary intake and quality among more disadvantaged individuals. Only 4 studies investigated children’s intakes. Conclusions: The 2008 recession was associated with poorer dietary quality and decreased fruit and vegetable consumption, especially for more disadvantaged individuals. Implementing effective policies to mitigate adverse nutritional changes during the COVID pandemic and other major economic shocks should be prioritised.
Effect of tree canopy on species composition, diversity and biomass of herbaceous vegetation and soil characteristics in semi-arid forests of the Aravalli hills
Authors: Garg Shriya , Joshi Rajendra Kr. , Garkoti Satish Chandra 
Published: October 2020

Abstract
Background: Herbaceous vegetation is of great ecological importance and responds quickly to environmental changes. Present study was aimed to understand the variation in herbaceous species composition, diversity, biomass and soil physicochemical properties in canopy gaps and under the canopy of semi-arid forests in the Aravalli hills. Methods: Four permanent plots consisting of canopy gaps and under canopy were established. To study herbs phytosociological attributes and biomass, 10 quadrats of 0.5 x 0.5 m size were laid in each plot. For soil physico-chemical properties, 5 soil samples were collected randomly at 0-10 cm depth from each plot. Relationship between biodiversity indices, herbs biomass and soil physicochemical properties was determined using Redundancy Analysis (RDA) and correlation analyses. Results: The sites differed in terms of herbaceous species composition, diversity, biomass and soil physico-chemical properties. Canopy gaps were dominated by grasses while forbs were higher under the canopy. Across the sites, poaceae was the dominant family. All species showed contagious distribution pattern. Oplismenus burmannii reported highest IVI (138.0; 230.5) under the canopy while Achyranthes aspera (56.15) and Eragrostis ciliaris (53.1) had highest IVI in canopy gaps. Diversity indices were higher in canopy gaps. Herbaceous community biomass in canopy gaps ranged from 700-900 gm-2 while under the canopy it ranged from 30-70 gm-2. Cenchrus ciliaris (597.97 gm-2) and Chrysopogon sp. (391.2 gm-2) constituted major proportion of biomass in canopy gaps. The soil of under canopy regions had lower pH and bulk density, but higher soil moisture (%), electrical conductivity, soil organic carbon (SOC), soil total nitrogen (TN), SOC stock and soil TN stock than the canopy gaps. Linear positive relationship between species diversity and biomass; negative relationship between soil chemical properties and herbaceous biomass was found in study area. Even though canopy had positive effects on soil physico-chemical properties, overall negative effect on herbaceous diversity and biomass was seen. Conclusions: Reduced light for photosynthesis and tree root competition for soil resources may be the major factors negatively affecting herbaceous diversity and biomass. Canopy had a significant impact and herbs species composition, diversity, biomass and soil physico-chemical properties showed distinct differences in relation to it.
Dilemma in Handling Corpse with COVID-19 Protocol at Hospital in Padang, West Sumatera (Indonesia)
Authors: Windasari Noverika , Manela Citra , Zetta Fatimah Azahra 
Published: October 2020

Abstract
Background: The high risk of transmitting Covid-19 from the corpse causes the importance of handling protocols under coronavirus characteristics. Indonesian Forensic Doctor Association (PDFI) recently published a guideline to deal with this situation. Hospitals in Indonesia adapted these instructions as the standard. This process faces some struggle situations since this new guidance different from the usual protocols that are already well known by people in handling the deceased. This research evaluates the implementation of these protocols by medical practitioners in West Sumatera. This descriptive research was conducted in two COVID-19 refferal Hospital in Padang. There are 13 mortuary staffs as respondents from both hospitals who directly deal with the corpses. There were 129 bodies served under Covid-19, the guideline during this period. Results: The mortuary staff comes to the isolation room in about 30 minutes after being called to handling the corpse. Corpses were prepared and packed in this room. The dead bodies were transferred to the mortuary room before being driven to the funeral location by ambulance. The corpse, on average, waited less than 3 hours in the mortuary room. Mortuary staff showed a full sincerity to avoid transmitting Covid-19 as all of them used the recommended Personal Protective Equipment (PPE) while handling the infected corpses. The staff only started their work after the standard tools are available. Mortuary staff reported that 40% of relatives of the deceased gave a negative response to the Covid-19 guidelines. Conclusion: The implementation of the procedure to follow the instruction from PDFI in handling infected bodies has some problems. The process could be delayed if the protective equipment runs out, so the staff should wait for the availability PPE. The number of ambulances also gained the time process because some bodies remained so long for the available transport. Although the mortuary staff showed serious concern on the guidelines, they feel unsupported since some families of deceased show negative respect to the protocols. This research recommended that massive education about the Covid-19 protocol in preparing and packing the infected bodies is essential not only for medical practitioners but also for citizens.
College programming for students in addiction recovery: A PRISMA-guided scoping review
Authors: Vest Noel , Reinstra Meg , Timko Christine , Kelly John , Humphreys Keith 
Published: October 2020

Abstract
The health and well-being of students in recovery from substance use disorder is increasingly being recognized as a priority on college campuses. This scoping review maps the state of the existing literature evaluating collegiate recovery programming to highlight research gaps and inform policy. We conducted a systematic search of articles related to collegiate recovery programming published before August 2020. The 15 extracted study characteristics included publication type, study design, primary outcomes, reporting of behavioral addictions and mutual-help groups, sample demographic information, school size, ownership, and funding source. The PRISMA-guided search strategy identified 357 articles for abstract review; of 113 articles retained for full-text review, 54 studies were identified for final inclusion. Primary outcomes were coded into four domains: clinical, lived experience, program characterization, and stigma. All but one of the articles were observational (57%) or qualitative (41%) research designs. Government or foundation grants funded only 11% of the studies. Findings suggest that collegiate recovery programs reduce risk of relapse, improve educational outcomes, and provide social support for students in recovery. The domains identified offer a framework for healthcare providers, college administrators, and researchers to understand and improve programs, thereby better serving this marginalized student group.
Inhalation surfactant therapy in the integrated treatment of severe COVID-19 pneumonia
Authors: Bautin A. E. , Avdeev S. N. , Seyliev A. A. , Shvechkova M. V. , Merzhoeva Z. M. , Trushenko N. V. , Semenov A. P. , Lapshin K. B. , Rozenberg O. A. 
Published: October 2020

The objective: to evaluate the effectiveness of inhaled surfactant therapy in the integrated treatment of severe COVID-19 pneumonia in a multicenter prospective clinical trial of surfactant-BL.Subjects and methods. 122 patients with severe COVID-19-associated pneumonia treated in two treatment centers were enrolled in the study. All of them received antiviral, anticoagulant and anti-inflammatory therapy. 56 patients also received inhalation therapy with surfactant-BL (OOO Biosurf, St. Petersburg, Russia) at a dose of 1 mg/kg 2-3 times a day. The remaining 66 patients received no surfactant-BL inhalation. When included into the study, all patients were divided into two groups based on severity of the condition at the time of inclusion: 62 people (Group I) needed oxygen inhalation through a face mask with the flow of 6-8 L/min for hypoxemia correction (27 received surfactant therapy and 35 did not); other 60 patients (Group II) required non-invasive respiratory support (constant positive airway pressure, non-invasive mechanical ventilation, high-flow oxygen therapy), of them 29 received surfactant therapy, while 31 patients did not.Results. In Group I, switching to invasive mechanical ventilation was required for 3/27 (11.1%) patients who received surfactant therapy, and 10/35 (28.6%) who received no surfactant therapy (p = 0.085); lethality made 3/27 (11.1%) and 9/35 (25.7%) (p = 0.131), respectively. In Group II, among those who received surfactant therapy, 5/29 (17.2%) were switched to invasive mechanical ventilation and 18/31 (58.1%) among those who did not receive it (p = 0.001); lethality made 5/29 (17.2%) and 18/31 (58.1%) (p = 0.001), respectively. In the pooled group of 122 patients with severe COVID-19-associated pneumonia, 8 (14.3%) of 56 patients who received surfactant died, and 27 (40.9%) of 66 died among those who did not receive it, (p = 0.001).Conclusion: Inhalation surfactant therapy can reduce the frequency of switching patients to mechanical ventilation and statistically significantly reduce lethality caused by severe pneumonia associated with SARS-CoV-2.
An assessment of penetration for pay-to-fetch water kiosks in rural Ghana using the Huff gravity model
Authors: Deal Philip T. , Sabatini David A. 
Published: October 2020

Abstract
Safe water enterprises across the developing world are attempting to meet demand for higher levels of water service. Existing, often free, water sources can make it difficult for these businesses to convince consumers to use a better-quality source or capture sufficient revenue for cost recovery. For this reason, it is imperative to develop a realistic understanding of penetration for small-scale water utilities. A cross-sectional assessment of 60 rural communities was used to evaluate the market share of a private service provider in Ghana. Household survey responses were used to identify the most attractive qualities of available water sources. Distance, taste, appearance, and affordability were found to be the most common motivational drivers. Using this information, a Huff gravity model was developed to assess the actual and potential market penetration and market share for the company in each community. The model and actual results agreed that about 38% of respondents would be regular customers at the given price. Even if water were free, the model predicted that the attractiveness of other sources would make it difficult to capture more than 58% of the sampled households. This illustrates the complexity of the water service ecosystem in a developing, rural context.