bluuebunny/crossref_metadata_2025_split huggingface dataset:
The first 2019-nCoV infection case report from Iran
Authors: Mansoori Maryam , Vafaei Somayeh , Madjd Zahra , Mesgarian Masoume 
Published: May 2020

Abstract
Background: The total mortality rate of COVID-19 is estimated almost at 2 % based on a wide range of publications. To avoid negative global impact of this new emergency, the entailment of control measures for prevention is highly recommended. Unfortunately, Iran has been the manifestation of attention as one of the countries is struggling with this pandemic. Here we intend to report a unique case of 2019-nCoV infected patient with underlying diseases and one of the rare pulmonary manifestations of 2019-nCoV infection (pleural effusion) who has recovered and discharged. Case presentation: The current case report from Iran showed a positive COVID-19 case accompanied by pleural effusion and severe pneumonia and even underlying diseases. She received twelve days of treatment and recovered with good oxygen saturation and without associated factors including fever and cough. In this report, presentations, diagnoses and management of novel 2019 coronavirus patient has been described in details. Conclusions: The pleural effusion in 2019-nCoV is not a dominant feature and can be considered as one of the diagnostic features in the disease. Even with underlying diseases, 2019-nCoV symptoms are not supposed to be severed.
Potential of natural astaxanthin in alleviating the risk of cytokine storm and improve health in COVID-19: A scoping review
Authors: Talukdar Jayanta , Bhadra Bhaskar , Dasgupta Santanu , Nagle Vinod 
Published: May 2020

Abstract
Background: Natural astaxanthin as a potent anti-oxidant and broad-spectrum anti-inflammatory bioactive molecule plays important role in modulating the immune response, speculated to be a potential supplement to alleviate cytokine release storm in COVID-19. Objective: Review of published literature to summarize the rationale for possible benefits of natural astaxanthin to support COVID-19 patients. Methods: Retrieved relevant literature from electronic databases including Google scholar, PubMed, Scopus, etc. and reviewed following Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) Statement. We adapted the article as scoping review. Results: Cytokine release syndrome (CRS) is reported as a common feature in COVID-19, which can lead to potentially fatal, hyper-inflammatory acute respiratory distress condition, diagnosed with elevated serum level of pro-inflammatory cytokines like IL-6, CRP, etc. that positively correlated with disease severity. Anti-inflammatory drug, like tocilizumab, etc. are under clinical trials as anti-CRS therapy. Astaxanthin can potentially alleviate CRS by regulating inflammatory cytokines by inhibiting the activities of NF-kB, TNF-α, JAK/STAT-3, etc. Available pre-clinical and clinical trials data support its excellent safety, and potential therapeutic and health benefits. Conclusions: Natural astaxanthin has tremendous potential as co-adjunctive supplement, desiring necessary clinical supports on its efficacy and beneficial against COVID-19.
Accurate Classification of COVID-19 Based on Incomplete Heterogeneous Data using a KNN Variant Algorithm
Authors: Hamed Ahmed , Sobhy Ahmed , Nassar Hamed 
Published: May 2020

Abstract
The coronavirus 2019 disease (COVID-19) is wreaking havoc around the world, and great efforts are underway to control it. Millions of people are now being tested and their data keeps accumulating in large volumes. This data can be used to classify newly tested persons as whether they have the disease or not. However, normal classification techniques are hampered by the fact that the data is typically both incomplete and heterogeneous. To address this two-fold obstacle, we propose a KNN variant (KNNV) algorithm which accurately and efficiently classifies COVID-19. The main two ideas behind the proposed algorithm are that for each instance to be classified it chooses the parameter K adaptively and calculates the distances to other instances in a novel way. The KNNV was implemented and tested on a COVID-19 dataset from the Italian society of medical and intervention radiology society. It was also compared to three algorithms of its category. The test results show that the KNNV can efficiently and accurately classify COVID-19 patients. The comparison results show that the algorithm greatly outperforms all its competitors in terms of four metrics: precision, recall, accuracy, and F-Score.
Atmospheric factors and the incidence of novel coronavirus pneumonia
Authors: Ma Zhixiang , Meng Xiangwei , Li Xiyuan , Chen Cai , Dong LeiLei , Li Wei 
Published: May 2020

Abstract
The novel coronavirus-infected pneumonia (NCIP) was first recognized in December 2019 in Wuhan, China and then spread successively around the world. The epidemic has spread rapidly and aroused widespread concern and panic in China with more than 80 thousand recorded infections and over 3 thousand deaths by March 2020. We have examined the effects of atmospheric conditions on the incidence of NCIP in Wuhan, Hubei province. Our results indicate a significant correlation between the new confirmed NCIP case and maximum wind velocity (r2=0.713). Both mean temperature (r2=-0.691) and air pressure (r2=-0.503) have negative associations with daily new cases. The regression equation y = 4590.899 − 1.239𝑥𝑡 − 0.442𝑥𝑝 + 0.579𝑥𝑤 was derived to define the optimal climatic conditions for the NCIP epidemic. To verify these results, further investigations in other regions are necessary.
UM LEVANTAMENTO DA PRESENÇA DA DISCIPLINA DE DIDÁTICA DA MATEMÁTICA EM CURSOS DE LICENCIATURA A DISTÂNCIA EM INSTITUIÇÕES PÚBLICAS BRASILEIRAS
Authors: Witt Claudia Maria , Panossian Maria Lucia 
Published: May 2020

O presente artigo apresenta os resultados da pesquisa cujo objetivo foi realizar um levantamento de cursos de Licenciatura em Matemática a Distância que contemplem a disciplina Didática da Matemática em suas grades curriculares. Para atingir este objetivo, foi realizada pesquisa no site do Ministério da Educação na intenção de identificar quantos cursos e quais instituições públicas brasileiras ofertam cursos nesta modalidade de ensino. Identificadas as instituições, foram coletados de seus sites, o plano de Curso, a grade curricular, a ementa do curso e a ementa da disciplina Didática da Matemática para a realização de análise documental. Pela análise dos documentos que foram possíveis de serem coletados, é percebido que a disciplina Didática da Matemática não é contemplada em todos os cursos de Licenciatura em Matemática a Distância. Em alguns cursos, seus conhecimentos são abordados em outras disciplinas pedagógicas. A partir dos resultados desta análise, pretende-se discutir a necessidade e importância que os conhecimentos em didática da matemática trazem para a formação do professor. Os dados aqui apresentados são um recorte do projeto de mestrado em andamento que tem como questão desencadeadora o que caracteriza a disciplina Didática da Matemática nos cursos de Licenciatura a Distância.
Acid whey treatment and conversion to single cell protein via aerobic yeast activated sludge
Authors: Frigon Matthew DuBois 
Published: May 2020

Abstract
In this study, a synthetic acid whey was made to mimic acid whey produced during cheese manufacture. A mixed yeast culture, primarily Vanrija albida, was used to degrade the wastewater and produce a single cell protein (SCP). The system was operated in batch mode at high and low loading rates. The COD-use efficiency of the biomass was 93 and 85% at the high and low loading rates, respectively. The pH was maintained at 3.5 to prevent bacterial contamination of the system. High loading and high oxygen transfer efficiency indicate that a full-scale yeast system would probably offer significant cost savings over both aerobic and anaerobic bacterial systems. The biomass produced has the potential to be a valuable commodity. The biomass amino acid profile was good with respect to the FAO protein nutrition guidelines for various farmed livestock species.
Recent Advances in Asialoglycoprotein Receptor and Glycyrrhetinic Acid Receptor-Mediated and/or pH-Responsive Hepatocellular Carcinoma- Targeted Drug Delivery
Authors: Li Yu-Lan , Zhu Xiao-Min , Liang Hong , Orvig Chris , Chen Zhen-Feng 
Published: May 2020

Background:
Hepatocellular carcinoma (HCC) seriously affects human health, especially,
it easily develops multi-drug resistance (MDR) which results in treatment failure. There is an
urgent need to develop highly effective and low-toxicity therapeutic agents to treat HCC and to
overcome its MDR. Targeted drug delivery systems (DDS) for cancer therapy, including nanoparticles,
lipids, micelles and liposomes, have been studied for decades. Recently, more attention has
been paid to multifunctional DDS containing various ligands such as polymer moieties, targeting
moieties, and acid-labile linkages. The polymer moieties such as poly(ethylene glycol) (PEG), chitosan
(CTS), hyaluronic acid, pullulan, poly(ethylene oxide) (PEO), poly(propylene oxide) (PPO)
protect DDS from degradation. Asialoglycoprotein receptor (ASGPR) and glycyrrhetinic acid receptor
(GAR) are most often used as the targeting moieties, which are overexpressed on hepatocytes.
Acid-labile linkage, catering for the pH difference between tumor cells and normal tissue, has
been utilized to release drugs at tumor tissue.

Objectives:
This review provides a summary of the recent progress in ASGPR and GAR-mediated
and/or pH-responsive HCC-targeted drug delivery.

Conclusion:
The multifunctional DDS may prolong systemic circulation, continuously release
drugs, increase the accumulation of drugs at the targeted site, enhance the anticancer effect, and
reduce side effects both in vitro and in vivo. But it is rarely used to investigate MDR of HCC; therefore,
it needs to be further studied before going into clinical trials.
Gastrointestinal Side Effects of Triple Immunosuppressive Therapy Evaluated by AC Biosusceptometry and Electrogastrography in Rats
Authors: Dallagnol Denize J.R. , Corá Luciana A. , Gama Loyane A. , Caló Romero S. , Miranda José R.A. , Américo Madileine F. 
Published: May 2020

Background:
Triple immunosuppressive therapy is associated with several gastrointestinal
disorders. The aim of this study was to investigate the effects induced by the triple immunosuppressive
therapy on the gastrointestinal tract of rats.

Methods:
Male Wistar rats were randomly assigned into three experimental groups: Control: filtered
water; TAC + MPS + PRED: treated with Tacrolimus plus Mycophenolate Sodium plus Prednisone;
and CSA + AZA + PRED: treated with Cyclosporine plus Azathioprine plus Prednisone. The treatment
was done for 14 days by gavage. Gastric emptying and contractility were evaluated by the Alternating
Current Biosusceptometry (ACB) and Electrogastrography (EGG). Histological, biochemical and hematological
analyses were also performed.

Results:
Gastric emptying time was slower in the CSA + AZA + PRED group in comparison with
control (p<0.01) and TAC + MPS + PRED groups (p<0.001). Animals treated with TAC + MPS +
PRED showed accelerated gastric emptying (p<0.05) compared to control. The amplitude of gastric
contractions in both immunosuppressed groups was higher than observed in the control. The frequency
of gastric contractions for the CSA + AZA + PRED group was also increased (p<0.01). Results obtained
by EGG were similar to those recorded with the ACB. The thickness of the circular layer from
stomach muscle decreased in both immunosuppressed groups, while the longitudinal layer was reduced
only in the CSA + AZA + PRED group.

Conclusion:
Triple immunosuppressive therapy alters gastric motility, compromises the muscular
layers
Formulation, Optimization and In vitro / In vivo Characterization of Spray Dried Doxorubicin Loaded Folic Acid Conjugated Gelatin Nanoparticles
Authors: Singh Harjit , Khurana Bharat , Arora Daisy , Kaur Sukhbir 
Published: May 2020

Aim:
Formulation, optimization and anticancer activity of spray-dried Doxorubicin loaded
folic acid conjugated Gelatin nanoparticles (DOX-FA-GN).

Methods:
Doxorubicin loaded gelatin nanoparticles (DOX-GN) were prepared by the Coacervation
phase separation method, optimized using DoE and then conjugated with folic acid by covalent coupling
to formulate Doxorubicin loaded folic acid conjugated nanoparticles (DOX-FA-GN). The formulated
nanoparticles were characterized to evaluate its physicochemical properties. Cellular uptake
and cell viability studies were carried out using MTT assay and biodistribution studies were
carried out in Wistar rats.

Results:
Particle size, PDI and entrapment efficiency for optimized DOX-GN were found to be
152.3 ± 9.3 nm 0.294 ± 0.1 and 86.9± 3.4% while for DOX-FA-GN, 193.9 ± 12.3 nm 0.247 ± 0.2
and 84 ± 3.6%. The cytotoxic studies showed a cell viability of 75.1% for DOX-GN and 29.5%
DOX-FA-GN. Biodistribution studies were found to be statistically insignificant for conjugated
nanoparticles with excellent flow properties. Significantly higher DOX distribution in the lungs
was observed in the case of DOX-FA-GN.

Conclusions:
There was a higher uptake of DOX on HeLa cells with DOX-FA-GN compared to
DOX-GN. Also, the biodistribution of Dox in the lungs of Wistar rats was higher in conjugated
nanoparticles as compared to unconjugated nanoparticles.
The Story of Menstruation (1946): Teaching Menstrual Hygiene in American Classrooms
Authors: Schaefer Mariah Mendes 
Published: May 2020

Vol 1. No. 1 (2019)
This issue of SourceLab presents a digital documentary edition of The Story of Menstruation, a 1946 educational film.
This publication is part of the digital documentary edition series SourceLab, based at the University of Illinois at Urbana-Champaign. Our Editorial Board conducts rigorous peer-review of every edition.
User Experiences With a Type 2 Diabetes Coaching App: Qualitative Study
Authors: Baptista Shaira , Wadley Greg , Bird Dominique , Oldenburg Brian , Speight Jane ,   The My Diabetes Coach Research Group
Published: May 2020

Background
Diabetes self-management apps have the potential to improve self-management in people with type 2 diabetes (T2D). Although efficacy trials provide evidence of health benefits, premature disengagement from apps is common. Therefore, it is important to understand the factors that influence engagement in real-world settings.

Objective
This study aims to explore users’ real-world experiences with the My Diabetes Coach (MDC) self-management app.

Methods
We conducted telephone-based interviews with participants who had accessed the MDC self-management app via their smartphone for up to 12 months. Interviews focused on user characteristics; the context within which the app was used; barriers and facilitators of app use; and the design, content, and delivery of support within the app.

Results
A total of 19 adults with T2D (8/19, 42% women; mean age 60, SD 14 years) were interviewed. Of the 19 interviewees, 8 (42%) had T2D for <5 years, 42% (n=8) had T2D for 5-10 years, and 16% (n=3) had T2D for >10 years. In total, 2 themes were constructed from interview data: (1) the moderating effect of diabetes self-management styles on needs, preferences, and expectations and (2) factors influencing users’ engagement with the app: one size does not fit all.

Conclusions
User characteristics, the context of use, and features of the app interact and influence engagement. Promoting engagement is vital if diabetes self-management apps are to become a useful complement to clinical care in supporting optimal self-management.

Trial Registration
Australia New Zealand Clinical Trials Registry CTRN126140012296; URL https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=366925&isReview=true
Exploring Strategies for Using Social Media to Self-Manage Health Care When Living With and Beyond Breast Cancer: In-Depth Qualitative Study
Authors: Ure Cathy , Cooper-Ryan Anna Mary , Condie Jenna , Galpin Adam 
Published: May 2020

Background
As breast cancer survival rates improve and structural health resources are increasingly being stretched, health providers require people living with and beyond breast cancer (LwBBC) to self-manage aspects of their care.

Objective
This study aimed to explore how women use and experience social media to self-manage their psychosocial needs and support self-management across the breast cancer continuum.

Methods
The experiences of 21 women (age range 27-64 years) were explored using an in-depth qualitative approach. The women varied in the duration of their experiences of LwBBC, which facilitated insights into how they evolve and change their self-management strategies over time. Semistructured interviews were analyzed inductively using a thematic analysis, a polytextual analysis, and voice-centered relational methods.

Results
The use of multiple social media platforms, such as YouTube, Facebook, WhatsApp, and Twitter, enabled women to self-manage aspects of their care by satisfying needs for timely, relevant, and appropriate support, by navigating identities disrupted by diagnosis and treatment and by allowing them to (re)gain a sense of control. Women described extending their everyday use of multiple platforms to self-manage their care. However, women experienced social media as both empowering and dislocating, as their engagement was impacted by their everyday experiences of LwBBC.

Conclusions
Health care professionals (HCPs) need to be more aware, and open to the possibilities, of women using multiple social media resources as self-management tools. It is important for HCPs to initiate value-free discussions and create the space necessary for women to share how social media resources support a tailored and timely self-managed approach to their unique psychosocial needs.
Automatic Construction of a Depression-Domain Lexicon Based on Microblogs: Text Mining Study
Authors: Li Genghao , Li Bing , Huang Langlin , Hou Sibing 
Published: May 2020

Background
According to a World Health Organization report in 2017, there was almost one patient with depression among every 20 people in China. However, the diagnosis of depression is usually difficult in terms of clinical detection owing to slow observation, high cost, and patient resistance. Meanwhile, with the rapid emergence of social networking sites, people tend to share their daily life and disclose inner feelings online frequently, making it possible to effectively identify mental conditions using the rich text information. There are many achievements regarding an English web-based corpus, but for research in China so far, the extraction of language features from web-related depression signals is still in a relatively primary stage.

Objective
The purpose of this study was to propose an effective approach for constructing a depression-domain lexicon. This lexicon will contain language features that could help identify social media users who potentially have depression. Our study also compared the performance of detection with and without our lexicon.

Methods
We autoconstructed a depression-domain lexicon using Word2Vec, a semantic relationship graph, and the label propagation algorithm. These two methods combined performed well in a specific corpus during construction. The lexicon was obtained based on 111,052 Weibo microblogs from 1868 users who were depressed or nondepressed. During depression detection, we considered six features, and we used five classification methods to test the detection performance.

Results
The experiment results showed that in terms of the F1 value, our autoconstruction method performed 1% to 6% better than baseline approaches and was more effective and steadier. When applied to detection models like logistic regression and support vector machine, our lexicon helped the models outperform by 2% to 9% and was able to improve the final accuracy of potential depression detection.

Conclusions
Our depression-domain lexicon was proven to be a meaningful input for classification algorithms, providing linguistic insights on the depressive status of test subjects. We believe that this lexicon will enhance early depression detection in people on social media. Future work will need to be carried out on a larger corpus and with more complex methods.
Knowledge and Behaviors Toward COVID-19 Among US Residents During the Early Days of the Pandemic: Cross-Sectional Online Questionnaire
Authors: Clements John M 
Published: May 2020

BackgroundThe early days of the coronavirus disease (COVID-19) pandemic in the United States brought uncertainty in the knowledge about COVID-19 and what to do about it. It is necessary to understand public knowledge and behaviors if we are to effectively address the pandemic.ObjectiveThe aim of this study is to test the hypothesis that knowledge about COVID-19 influences participation in different behaviors including self-reports of purchasing more goods than usual, attending large gatherings, and using medical masks.MethodsThis study was funded and approved by the Institutional Review Board on March 17, 2020. The cross-sectional online survey of 1034 US residents aged 18 years or older was conducted on March 17, 2020.ResultsFor every point increase in knowledge, the odds of participation in purchasing more goods (odds ratio [OR] 0.88, 95% CI 0.81-0.95), attending large gatherings (OR 0.87, 95% CI 0.81-0.93), and using medical masks (OR 0.56, 95% CI 0.50-0.62) decreased by 12%, 13%, and 44%, respectively. Gen X and millennial participants had 56% and 76% higher odds, respectively, of increased purchasing behavior compared to baby boomers. The results suggest that there is a politicization of response recommendations. Democrats had 30% lower odds of attending large gatherings (OR 0.70, 95% CI 0.50-0.97) and 48% lower odds of using medical masks (OR 0.52, 95% CI 0.34-0.78) compared to Republicans.ConclusionsThis survey is one of the first attempts to study determinants of knowledge and behaviors in response to the COVID-19 pandemic in the United States. A national, coordinated effort toward a pandemic response may ensure better compliance with behavioral recommendations to address this public health emergency.
Selección democrática de candidaturas en los partidos del sur de Europa: ¿respuestas a la crisis económica o mecanismos de legitimación en los nuevos partidos?
Authors: Cruz Merchán Camilo 
Published: May 2020

Reseña: <span class="fontstyle0">Cordero, Guillermo y Xavier Coller (eds.) (2018) </span><em><span class="fontstyle2">Democratizing Candidate Selection. New Method, Old Receipts? </span></em><span class="fontstyle0">Cham: Palgrave Macmillan </span> <br /><br />
Testimonios: vida y trayectorias del Centro de Relaciones Internacionales
Authors: Batta Fonseca Víctor Noé 
Published: May 2020

Reseña: <span class="fontstyle0">Sánchez Mugica, Alfonso y María de los Ángeles Sánchez Noriega Armengol (coords.) (2018) </span><em><span class="fontstyle2">Testimonios: vida y trayectoria del Centro de Relaciones Internacionales 1970-2017</span></em><span class="fontstyle0">. Ciudad de México: FCPyS, UNAM.</span> <br /><br />