bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving HIV outreach testing yield at cross-border venues in East Africa
Authors: Edwards Jessie K. , Arimi Peter , Ssengooba Freddie , Herce Michael E. , Mulholland Grace , Markiewicz Milissa , Babirye Susan , Ssendagire Steven , Weir Sharon S. 
Published: February 2020

Objective:
The aim of this study was to evaluate HIV testing yield under several candidate strategies for outreach testing at venues (i.e. places where people socialize and meet new sex partners) in East Africa cross-border areas.

Design:
Population-based cross-sectional biobehavioural survey of people who had not been previously diagnosed with HIV found in venues.

Methods:
We identified participants who would have been tested for HIV under each of 10 hypothetical outreach testing strategies and calculated the proportion who would have newly tested positive for HIV under each strategy. On the basis of this proportion, we calculated the ‘number needed to test’ (NNT) to identify one new case of HIV under each strategy. All estimates were obtained by applying survey sampling weights to account for the complex sampling design.

Results:
If testing was performed at a random sample of venues, 35 people would need to be tested to identify one new case of HIV, but higher yield could be found by limiting testing to venues with specific characteristics. Strategies focusing on women had higher testing yield. Testing women employed by venues would result in highest yield of all strategies examined (NNT = 15), while testing men under age 24 would result in the lowest yield (NNT = 99).

Conclusion:
Quantitatively evaluating HIV testing strategies prior to implementation using survey data presents a new opportunity to refine and prioritize outreach testing strategies for the people and places most likely to result in high HIV testing yield.
Establishing Reference Intervals for Gadolinium Concentrations in Blood, Plasma, and Urine in Individuals Not Previously Exposed to Gadolinium-Based Contrast Agents
Authors: Layne Kerry A. , Wood David M. , Dixon-Zegeye Miriam , Archer John R.H. , Raja Kishor , Dargan Paul I. 
Published: February 2020

Objectives
Over the recent years, there have been increasing concerns that exposure to gadolinium-based contrast agents (GBCAs) may be associated with retention of Gd within the skin, bones, and solid organs in patients with normal renal function, although the clinical implications of this deposition remain to be established. There are no published data available to guide the development of reference intervals for Gd concentrations in biological samples from healthy people. The aims of this study were to (1) determine whether healthy individuals who have not received GBCAs have detectable concentrations of Gd in their blood and urine, and (2) to develop a reference range for Gd concentrations in blood and spot urine samples for healthy individuals.

Materials and Methods
Whole blood, plasma, and spot urine samples were taken from 120 healthy volunteers with estimated glomerular filtration rate 70 mL/min per 1.73 m2 or greater. Gd concentrations were measured in these samples using inductively coupled plasma mass–spectrometry. The reference intervals for Gd concentrations in whole blood, plasma, and urine were estimated as the 2.5th percentile and the upper reference limit as the 97.5th percentile.

Results
Ten (8.33%) of the 120 subjects had detectable concentrations of Gd in their whole blood (n = 5) or spot urine (n = 5) samples; no subjects had detectable concentrations of Gd in their plasma samples. Our proposed reference intervals for Gd are as follows: whole blood, <0.008 ng/mL or <0.050 nmol/L; plasma, <0.009 ng/mL or <0.057 nmol/L; spot urine, <0.036 μg/g or <0.0250 nmol/mmol.

Conclusions
The results of this study provide reference intervals for whole blood, plasma, and urine Gd concentrations in healthy subjects who have not previously received GBCAs and will assist clinicians in assessing patients who have concerns regarding potential Gd retention postexposure and help guide further clinical studies to explore the pharmacokinetics of GBCAs in patients with normal renal function.
Simulating and Forecasting the Cumulative Confirmed Cases of SARS-CoV-2 in China by Boltzmann Function-based Regression Analyses
Authors: Fu Xinmiao , Ying Qi , Zeng Tieyong , Long Tao , Wang Yan 
Published: February 2020

AbstractAn ongoing outbreak of atypical pneumonia caused by the 2019 novel coronavirus (SARS-CoV-2) is hitting Wuhan City and has spread to other provinces/cities of China and overseas. It very urgent to forecast the future course of the outbreak. Here, we provide an estimate of the potential total number of confirmed cases in mainland China by applying Boltzmann-function based regression analyses. We found that the cumulative number of confirmed cases from Jan 21 to Feb 14, 2020 for mainland China, Hubei Province, Wuhan City and other provinces were all well fitted with the Boltzmann function (R2 being close to 0.999). The potential total number of confirmed cases in the above geographic regions were estimated at 95% confidence interval (CI) as 79589 (71576, 93855), 64817 (58223, 77895), 46562 (40812, 57678) and 13956 (12748, 16092), respectively. Notably, our results suggest that the number of daily new confirmed cases of SARS-CoV-2 in mainland China (including Hubei Province) will become minimal between Feb 28 and Mar 10, 2020, with 95% CI. In addition, we found that the data of cumulative confirmed cases of 2003 SARS-CoV in China and Worldwide were also well fitted to the Boltzmann function. To our knowledge this is the first study revealing that the Boltzmann function is suitable to simulate epidemics. The estimated potential total number of confirmed cases and key dates for the SARS-CoV-2 outbreak may provide certain guidance for governments, organizations and citizens to optimize preparedness and response efforts.
Longitudinal characteristics of lymphocyte responses and cytokine profiles in the peripheral blood of SARS-CoV-2 infected patients
Authors: Liu Jing , Li Sumeng , Liu Jia , Liang Boyun , Wang Xiaobei , Wang Hua , Li Wei , Tong Qiaoxia , Yi Jianhua , Zhao Lei , Xiong Lijuan , Guo Chunxia , Tian Jin , Luo Jinzhuo , Yao Jinghong , Pang Ran , Shen Hui , Peng Cheng , Liu Ting , Zhang Qian , Wu Jun , Xu Ling , Lu Sihong , Wang Baoju , Weng Zhihong , Han Chunrong , Zhu Huabing , Zhou Ruxia , Zhou Helong , Chen Xiliu , Ye Pian , Zhu Bin , He Shengsong , He Yongwen , Jie Shenghua , Wei Ping , Zhang Jianao , Lu Yinping , Wang Weixian , Zhang Li , Li Ling , Zhou Fengqin , Wang Jun , Dittmer Ulf , Lu Mengji , Hu Yu , Yang Dongliang , Zheng Xin 
Published: February 2020

AbstractBackgroundThe dynamic changes of lymphocyte subsets and cytokines profiles of patients with novel coronavirus disease (COVID-19) and their correlation with the disease severity remain unclear.MethodsPeripheral blood samples were longitudinally collected from 40 confirmed COVID-19 patients and examined for lymphocyte subsets by flow cytometry and cytokine profiles by specific immunoassays.ResultsOf the 40 COVID-19 patients enrolled, 13 severe cases showed significant and sustained decreases in lymphocyte counts but increases in neutrophil counts than 27 mild cases. Further analysis demonstrated significant decreases in the counts of T cells, especially CD8 + T cells, as well as increases in IL-6, IL-10, IL-2 and IFN-γ levels in the peripheral blood in the severe cases compared to those in the mild cases. T cell counts and cytokine levels in severe COVID-19 patients who survived the disease gradually recovered at later time points to levels that were comparable to those of the mild cases. Moreover, the neutrophil-to-CD8+ T cell ratio (N8R) were identified as the most powerful prognostic factor affecting the prognosis for severe COVID-19.ConclusionsThe degree of lymphopenia and a proinflammatory cytokine storm is higher in severe COVID-19 patients than in mild cases, and is associated with the disease severity. N8R may serve as a useful prognostic factor for early identification of severe COVID-19 cases.SummaryLymphocyte subsets and cytokine profiles in the peripheral blood of COVID-19 patients were longitudinally characterized. The study revealed the kinetics features of immune parameters associated with the disease severity and identified N8R as a useful prognostic factor for predicting severe COVID-19 cases.
Adoption of internet of things (IoT) in the agriculture industry deploying the BRT framework
Authors: Pillai Rajasshrie , Sivathanu Brijesh 
Published: February 2020

PurposeThe purpose of this paper is to investigate the adoption of Internet of Things (IoT) in the agriculture industry by the farmers' in India using the theoretical lens of the behavioral reasoning theory (BRT).Design/methodology/approachA survey on farmers was conducted to examine the adoption of IoT in agriculture industry (IoT-A) using BRT. The data analysis of the primary survey was done by applying the structural equation modelling (SEM) technique.FindingsThe ‘reasons for’ adoption of IoT-A were as follows: Relative advantage, social influence, perceived convenience, and perceived usefulness. The ‘reasons against’ adoption were as follows: Image barrier, technological anxiety, perceived price and perceived risk. The BRT theory provides the platform to discuss the psychological processing of acceptance of IoT in agriculture industry by the farmers.Practical implicationsThis research has unique implications as it studies the rural consumers’ behavior of innovation adoption namely IoT in agriculture. It provides the specific reasons ‘for’ and ‘against’ IoT adoption in agriculture, which will give directions to the marketers of IoT technology to develop suitable marketing strategies to improve the adoption in rural areas.Originality/valueThis research takes the first step in the direction toward deliberation of the adoption of IoT-A by farmers in an emerging Indian economy using the BRT theory, which discusses the ‘reasons for’ and ‘reasons against’ adoption in a proposed model.
Empowerment through induction: supporting the well-being of beginning teachers
Authors: Wilcoxen Chris , Bell Julie , Steiner Amanda 
Published: February 2020

Purpose
The purpose of this paper is to explore ways teachers undergoing induction via the Career Advancement and Development of Recruits and Experienced (CADRE) Teachers Project felt empowered and supported in their well-being through mentoring and coaching.

Design/methodology/approach
Surveys about CADRE Project impact were e-mailed to 675 current and former participants. Out of 438 surveys returned, researchers used homogeneous sampling to identify 341 teacher respondents. Researchers used qualitative thematic analysis to determine ways teachers felt supported.

Findings
Coaching and mentoring supported CADRE Project participants’ well-being through empowerment (theme). Sub-themes included: growth, collaboration, networking, improvement and resources.

Research limitations/implications
Possibilities for future research include exploring the role of mentors/coaches, tracking teachers’ leadership roles and investigating the link between induction and teacher retention in more detail.

Practical implications
Opportunities for growth and collaboration are cornerstones of first-year teacher support. These support systems can lead to a sense of belonging, develop a mindset for continuous improvement and create long-term networking opportunities. The support teachers need to empower them and maintain their well-being changes with each first-year teacher phase.

Originality/value
Few studies exist on induction programs with the longevity of the CADRE Project. The high survey response rate with overwhelmingly positive responses suggests that CADRE is unique in its support of beginning teachers’ well-being through the first-year teacher phases, specifically due to the combination of mentoring and coaching beginning teachers receive.
Design and evaluation of an ontology-based tool for generating multiple-choice questions
Authors: Cubric Marija , Tosic Milorad 
Published: February 2020

Purpose
The recent rise in online knowledge repositories and use of formalism for structuring knowledge, such as ontologies, has provided necessary conditions for the emergence of tools for generating knowledge assessment. These tools can be used in a context of interactive computer-assisted assessment (CAA) to provide a cost-effective solution for prompt feedback and increased learner’s engagement. The purpose of this paper is to describe and evaluate a tool developed by the authors, which generates test questions from an arbitrary domain ontology, based on sound pedagogical principles encapsulated in Bloom’s taxonomy.

Design/methodology/approach
This paper uses design science as a framework for presenting the research. A total of 5,230 questions were generated from 90 different ontologies and 81 randomly selected questions were evaluated by 8 CAA experts. Data were analysed using descriptive statistics and Kruskal–Wallis test for non-parametric analysis of variance.

Findings
In total, 69 per cent of generated questions were found to be useable for tests and 33 per cent to be of medium to high difficulty. Significant differences in quality of generated questions were found across different ontologies, strategies for generating distractors and Bloom’s question levels: the questions testing application of knowledge and the questions using semantic strategies were perceived to be of the highest quality.

Originality/value
The paper extends the current work in the area of automated test generation in three important directions: it introduces an open-source, web-based tool available to other researchers for experimentation purposes; it recommends practical guidelines for development of similar tools; and it proposes a set of criteria and standard format for future evaluation of similar systems.
Manufacturing and selling tactics for a green supply chain under a green cost sharing and a refund agreement
Authors: Taleizadeh Ata Allah , Noori-Daryan Mahsa , Sana Shib Sankar 
Published: February 2020

Purpose
This paper aims to deal with optimal pricing and production tactics for a bi-echelon green supply chain, including a producer and a vendor in presence of three various scenarios. Demand depends on a price, refund and quality where the producer controls quality and the vendor proposes a refund policy to purchasers to encourage them to order more.

Design/methodology/approach
In the first scenario, the members seek to optimize their optimum decision variables under a centralized decision-making method while in the second scenario, a decentralized system is assumed where the members make a decision about variables and profits under a non-cooperative game. In the third scenario, a cost-sharing agreement is concluded between the members to provide a high-quality item to the purchasers.

Findings
The performance of the proposed model is investigated by illustrating a numerical example. A sensitivity analysis of some key parameters has been done to study the effect of the changes on the optimal values of the decision variables and profits. From sensitivity analysis, the real features are observed and mentioned in this section.

Originality/value
This research examines the behavior of partners in a green supply chain facing with a group of purchasers whose demand is the function of a price, greenery degree and refund rate. This proposed mathematical model is developed and analyzed which has an implication in supply chain model.
Followers’ reactions to influencers’ Instagram posts
Authors: Belanche Daniel , Flavián Marta , Ibáñez-Sánchez Sergio 
Published: February 2020

PurposeThe purpose of this study is to analyze how positive behaviors toward influencers (customer interaction) and promoted products (looking for product information) can be achieved, taking into account influencer–product fit, in a fashion marketing campaign. In addition, account following and product involvement are examined as possible moderators in these relationships.Design/methodology/approachThe data were gathered from online participants. The participants were Instagram users who already knew a popular influencer on the platform. The experimental design manipulated the types of picture posted by the influencer to observe customers’ reactions in terms of intention to interact with the influencer’s account and to look for further information about promoted products.FindingsThe authors’ findings suggested that influencer–product matches in posts on Instagram encourage users to search for information about promoted products but do not affect their intention to interact with influencers’ accounts. Nevertheless, customers’ reactions toward an influencer’s posts differ based on whether they are followers of the influencer and whether they are highly or lowly involved with the promoted product.Practical implicationsBoth brands and influencers should properly manage influencer marketing actions. Brands should control influencers’ audiences and their involvement with featured products so that they are seen to promote them in a natural way. Influencers should endorse branded products that fit their own style; this will increase the interaction on their accounts.Originality/valueThis research contributes to a better understanding of how users can be encouraged to undertake positive online actions as regards influencers (interaction with their accounts) and promoted products (information search) in influencer marketing campaigns.
Cold Case Experiment Demonstrates the Potential Utility of Aquatic Microbial Community Assembly in Estimating a Postmortem Submersion Interval
Authors: Kaszubinski Sierra F. , Receveur Joseph P. , Wydra Breanna , Smiles Katelyn , Wallace John R. , Babcock Nicholas J. , Weatherbee Courtney R. , Benbow Mark Eric 
Published: February 2020

AbstractMicrobial community assembly (MCA) of both human and nonhuman animal carcasses provides indicators useful for estimating the postmortem interval (PMI) in terrestrial settings. However, there are fewer studies estimating postmortem submersion intervals (PMSIs) in aquatic habitats. No aquatic studies to date assessed MCA in the context of a death investigation, with all previous studies focusing on important basic ecological questions. Within the context of a cold case investigation, we performed an experiment using replicate adult swine carcasses to describe postmortem MCA variability within a nonflowing aquatic habitat. Using high‐throughput sequencing of carcass postmortem microbiomes, we described MCA variability and identified key taxa associated with decomposition in an aquatic habitat similar to the cold case body recovery site. We also modeled key taxa for estimating PMSIs, modeling within ±3 days (mean square error) postmortem using random forest regression. Our findings show significant changes in microbial communities as decomposition progressed, and several taxa were identified as important indicator taxa which may be useful for future estimates of PMSI. While descriptive, this study provides initial findings quantifying MCA variability within a nonflowing aquatic habitat. Within the context of the cold case investigation, we discuss how postmortem microbial samples collected at the time of body recovery could have been an important piece of evidence for understanding the PMSI of recovered remains. Additional experimental studies are needed to explicitly test and identify mechanisms associated with postmortem MCA variability in other habitats and under different temperature (e.g., seasons) conditions.
Crime control effects of a police substation within a business improvement district: A quasi‐experimental synthetic control evaluation
Authors: Piza Eric L. , Wheeler Andrew P. , Connealy Nathan T. , Feng Shun Q. 
Published: February 2020

Research SummaryThe current study analyzes the crime reduction effect of a police substation operating within a business improvement district in Newark, New Jersey. Synthetic control methods were used to create a control group that was statistically equivalent to the cumulative street units in the target area. Significant reductions of burglary and motor vehicle theft were observed in the target area as compared with a synthetic control area over the postintervention period. Robbery and theft from auto, conversely, suffered from spatial displacement. Of the six police actions included in the process evaluation, quality‐of‐life summonses and directed patrols increased in the postintervention period, whereas parking summonses significantly decreased.Policy ImplicationsThe results of this study suggest that the effect of substations on crime likely depends on certain contextual factors. Newark's substation was not a stand‐alone facility, but the headquarters of a police unit given jurisdiction over the target area. Therefore, the opening of the substation represented an increase in visible police presence. The effect of the substation was heightened when accompanied by increases in proactive policing activities. Agencies wishing to effectively address robbery and theft from auto may have to design substation strategies in a manner that better influences offender decision‐making to prevent displacement.
Serum iron deficiency was associated with lower cognitive development in the children of the Santal tribe of West Bengal
Authors: Dutta Chowdhury Sutanu , Ghosh Tusharkanti 
Published: February 2020

AbstractAimPoor cognitive scores and low serum iron have been reported among chronically undernourished children from the Santal tribe, West Bengal. Our aim was to investigate the association between iron status and non‐verbal cognitive development.MethodsWe randomly selected 170 children (52.9% boys) aged 5‐12 years from the Purulia district of West Bengal during 2007‐2008 and assessed their iron status: haemoglobin concentration, serum concentration of iron, ferritin, transferrin, total iron‐binding capacity and transferrin saturation. Their non‐verbal cognitive development was assessed using the Raven's Coloured Progressive Matrices.ResultsThe haemoglobin concentration, serum iron, serum ferritin and transferrin saturation levels of the 27 children with an intellectual deficit and the 32 who had a below average intelligence quotient (IQ) were significantly lower (P < .05) than the 65 children with an average IQ. A large number of boys (55.6%) and girls (41.7%) who have an intellectual deficit had stage III iron depletion. The cognitive scores of children with stage II and III iron depletion were significantly lower (P < .05) than those with a normal IQ.ConclusionThe iron depletion stage was associated with the severity of non‐verbal cognitive impairment and serum ferritin appeared to be a sensitive biomarker for predicting non‐verbal cognitive development.