bluuebunny/crossref_metadata_2025_split huggingface dataset:
Viral and host factors related to the clinic outcome of the SARS-CoV-2 infection
Authors: Zhang Xiaonan , Tan Yun , Ling Yun , Lu Gang , Liu Feng , Yi Zhigang , Jia Xiaofang , Wu Min , Shi Bisheng , Xu Shuibao , Chen Jun , Wang Wei , Chen Bing , Jiang Lu , Yu Shuting , Lu Jing , Wang Jingzheng , Xu Mingzhu , Yuan Zhenghong , Zhang Qin , Zhang Xinxin , Zhao Guoping , Wang Shengyue , Chen Saijuan , Lu Hongzhou 
Published: March 2020

Abstract
At least three months have been passed since the outbreak of the severe acute respiratory disease, COVID-19 in Wuhan city, China in December 2019, caused by the infection of a novel coronavirus, SARS-CoV-2.1,2. Due to its rapid spread throughout China and abroad, knowledge sharing for both its epidemiology and clinic manifestations is urgently need. Here we analyzed the clinical, molecular and immunological data from 326 confirmed cases of SARS-CoV-2 infection in Shanghai. Genomic sequences assembled from 112 quality samples together with uploaded sequences in Global Initiative on Sharing All Influenza Data (GISAID) showed a stable evolution and suggested two major lineages with differential exposure history during the earliest outbreak in Wuhan. Nevertheless, they exhibited similar virulence and clinical outcomes. Lymphocytopenia, especially the reduced CD4+ and CD8+ T cell counts upon admission, was predictive of disease progression. High level of IL-6 and IL-8 during treatment was observed in severe and critical patients and correlated with decreased lymphocyte count. The determinants of disease severity seemed to stem mostly from host factors such age, lymphocytopenia and its associated cytokine storm whereas viral genetic variation did not significantly affect the outcomes. This comprehensive analysis on the molecular, immunological and clinical data provides a panorama of the key determinants related to the disease outcomes which should be helpful for improving the current combat against this extremely aggressive pandemic.Authors Xiaonan Zhang, Yun Tan, Yun Ling, Gang Lu, Feng Liu, and Zhigang Yi contributed equally to this work.
FATORES ASSOCIADOS A ALTERAÇÕES DA MICROBIOTA NO TRATO GENITAL FEMININO INFERIOR
Authors: Oliveira Jennefer Aparecida Gonçalves 
Published: March 2020

A vagina é colonizada por diversos microrganismos vivendo em equilíbrio e é conhecida por microbiota, ela é composta por: fungos, peptococcos e bactérias aeróbicas e anaeróbicas facultativas comensais, com predominância de lactobacilos. A microbiota desempenha um papel fundamental na manutenção e preservação da saúde, sua composição varia durante a vida da mulher por diversos fatores como a idade, hormônios, e período do ciclo menstrual. Entretanto diversos fatores são associados a alterações da microbiota e ocasional patologia. O presente trabalho visa avaliar quais os fatores extrínsecos são associados a alterações da microbiota vaginal. Este estudo é uma revisão de literatura integrativa, método apontado por Cooper, onde resultados primários de pesquisas são reunidos a fim de explicar um fenômeno mais abrangente e interconectar elementos isolados Concluímos que fatores como relações frequentes, gestações, medicamentos, sabonetes vaginais e DIU afetam a frequência e a gravidade das alterações da microbiota vaginal. Verificamos também a necessidade de atenção redobrada na saúde pública para com mulheres imunussupremidas, submetidas à quimioterapia, gestantes e mulheres menopausadas. Pois foi encontrado associação entre medicamentos e alterações hormonais com o aumento de alterações de microbiota. Outro fator associação mudanças da microbiota é o uso de DIU e vaginose bacteriana com alterações de microbiota vaginal, essa informação é relevante para decisões médicas de saúde e para avaliação do seguimento das mulheres em uso de DIU e que medidas de saúde coletivas devem ser tomadas, a fim de minimizar a acompanhar mulheres com alterações de flora ou com algum fator que possa ocasionar as alterações de microbiota.
Anoxic-biocathode microbial desalination cell as a new approach for wastewater remediation and clean water production
Authors: Perazzoli Simone , de Santana Neto José Pedro , Soares Hugo M. 
Published: March 2020

Abstract
Bioelectrochemical systems are emerging as a promising and friendly alternative to convert the energy stored in wastewater directly into electricity by microorganisms and utilize it in situ to drive desalination. To better understand such processes, we propose the development of an anoxic biocathode microbial desalination Cell for the conversion of carbon- and nitrogen-rich wastewaters into bioenergy and to perform salt removal. Our results demonstrate a power output of 0.425 W m−3 with desalination, organic matter removal and nitrate conversion efficiencies of 43.69, 99.85 and 92.11% respectively. Microbiological analysis revealed Proteobacteria as the dominant phylum in the anode (88.45%) and biocathode (97.13%). While a relatively higher bacterial abundance was developed in the anode chamber, the biocathode showed a greater variety of microorganisms, with a predominance of Paracoccus (73.2%), which are related to the denitrification process. These findings are promising and provide new opportunities for the development and application of this technology in the field of wastewater treatment to produce cleaner water and conserve natural resources.
The Expression of Hormone Receptors as a Gateway toward Understanding Endocrine Actions in Female Pelvic Floor Muscles
Authors: Castelán Francisco , Cuevas-Romero Estela , Martínez-Gómez Margarita 
Published: March 2020

Objective:
To provide an overview of the hormone actions and receptors expressed in the
female pelvic floor muscles, relevant for understanding the pelvic floor disorders.

Methods:
We performed a literature review focused on the expression of hormone receptors mainly in
the pelvic floor muscles of women and female rats and rabbits.

Results:
The impairment of the pelvic floor muscles can lead to the onset of pelvic floor dysfunctions,
including stress urinary incontinence in women. Hormone milieu is associated with the structure and
function alterations of pelvic floor muscles, a notion supported by the fact that these muscles express
different hormone receptors. Nuclear receptors, such as steroid receptors, are up till now the most investigated.
The present review accounts for the limited studies conducted to elucidate the expression of
hormone receptors in pelvic floor muscles in females.

Conclusion:
Hormone receptor expression is the cornerstone in some hormone-based therapies, which
require further detailed studies on the distribution of receptors in particular pelvic floor muscles, as
well as their association with muscle effectors, involved in the alterations relevant for understanding
pelvic floor disorders.
An Efficient Machine Learning Model for Prediction of Acute Myocardial Infarction
Authors: M. Dhilsath Fathima , Samuel S. Justin , Hariharan R. 
Published: March 2020

Aim:
This proposed work is used to develop an improved and robust machine learning
model for predicting Myocardial Infarction (MI) could have substantial clinical impact.

Objectives:
This paper explains how to build machine learning based computer-aided analysis system for an early and accurate prediction of Myocardial Infarction (MI) which utilizes framingham heart study dataset for validation and evaluation. This proposed computer-aided analysis model will support medical professionals to predict myocardial infarction proficiently.

Methods:
The proposed model utilize the mean imputation to remove the missing values from the
data set, then applied principal component analysis to extract the optimal features from the data set
to enhance the performance of the classifiers. After PCA, the reduced features are partitioned into
training dataset and testing dataset where 70% of the training dataset are given as an input to the
four well-liked classifiers as support vector machine, k-nearest neighbor, logistic regression and decision
tree to train the classifiers and 30% of test dataset is used to evaluate an output of machine
learning model using performance metrics as confusion matrix, classifier accuracy, precision, sensitivity,
F1-score, AUC-ROC curve.

Results:
Output of the classifiers are evaluated using performance measures and we observed that
logistic regression provides high accuracy than K-NN, SVM, decision tree classifiers and PCA performs
sound as a good feature extraction method to enhance the performance of proposed model.
From these analyses, we conclude that logistic regression having good mean accuracy level and
standard deviation accuracy compared with the other three algorithms. AUC-ROC curve of the proposed
classifiers is analyzed that logistic regression exhibits good AUC-ROC score, i.e around 70%
compared to k-NN and decision tree algorithm.

Conclusion:
From the result analysis, we infer that this proposed machine learning model will act as an optimal decision making system to predict the acute myocardial infarction at an early stage than an existing machine learning based prediction models and it is capable to predict the presence of an acute myocardial Infarction with human using the heart disease risk factors, in order to decide when to start lifestyle modification and medical treatment to prevent the heart disease.
Integrating the Typographic Landscape in Creating Interactive Spaces for a Holistic Learning Environment
Authors: Abdul Kadir Norita , Abdul Rahman Norhafizah , Ibrahim Nur Hisham 
Published: March 2020

This paper aims to identify the importance of the ideas on integrating Typographic Landscape in a campus environment. In creating interactive spaces that can create a holistic learning environment, an artistic approach has been developed. The design proposed is an installation of functional three-dimensional gigantic letters that will become a bench for students’ informal outdoor activities as part of sustainable initiatives that will beneficial to students in order to give adequate space for a learning environment. A quantitative method using questionnaires survey has been distributed to 160 students. The results of this study will provide a better understanding of the relationships between students' preference and landscape features and aim to enhance the quality of life in a campus environment.Keywords: Typographic landscape; learning environment; campus environment; interactive spaceeISSN: 2398-4287 © 2020. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.DOI: https://doi.org/10.21834/e-bpj.v5i13.2107
Predicting Onset of Dementia Using Clinical Notes and Machine Learning: Case-Control Study
Authors: Hane Christopher A , Nori Vijay S , Crown William H , Sanghavi Darshak M , Bleicher Paul 
Published: March 2020

Background
Clinical trials need efficient tools to assist in recruiting patients at risk of Alzheimer disease and related dementias (ADRD). Early detection can also assist patients with financial planning for long-term care. Clinical notes are an important, underutilized source of information in machine learning models because of the cost of collection and complexity of analysis.

Objective
This study aimed to investigate the use of deidentified clinical notes from multiple hospital systems collected over 10 years to augment retrospective machine learning models of the risk of developing ADRD.

Methods
We used 2 years of data to predict the future outcome of ADRD onset. Clinical notes are provided in a deidentified format with specific terms and sentiments. Terms in clinical notes are embedded into a 100-dimensional vector space to identify clusters of related terms and abbreviations that differ across hospital systems and individual clinicians.

Results
When using clinical notes, the area under the curve (AUC) improved from 0.85 to 0.94, and positive predictive value (PPV) increased from 45.07% (25,245/56,018) to 68.32% (14,153/20,717) in the model at disease onset. Models with clinical notes improved in both AUC and PPV in years 3-6 when notes’ volume was largest; results are mixed in years 7 and 8 with the smallest cohorts.

Conclusions
Although clinical notes helped in the short term, the presence of ADRD symptomatic terms years earlier than onset adds evidence to other studies that clinicians undercode diagnoses of ADRD. De-identified clinical notes increase the accuracy of risk models. Clinical notes collected across multiple hospital systems via natural language processing can be merged using postprocessing techniques to aid model accuracy.
Comparison of orthodontic space closure using micro-osteoperforation and passive self-ligating appliances or conventional fixed appliances:
Authors: Mittal Rashmi , Attri Sonal , Batra Puneet , Sonar Saurabh , Sharma Karan , Raghavan Sreevatsan 
Published: March 2020

ABSTRACTObjectivesTo examine the effect of micro-osteoperforation (MOP) on the space closure rate using passive self-ligating or conventional brackets.Materials and MethodsThis was a two-arm parallel randomized controlled trial undertaken at the outpatient department of a dental college. There were 60 participants (30 women and 30 men) who fulfilled the inclusion criteria. Both the study and control groups were subjected to MOPs throughout the period of space closure. MOPs were repeated every 28 days. The experimental group (mean age 19.5 ± 1.66 years) was bonded with passive self-ligating brackets while the control group (mean age 19.9 ± 1.13 years) was bonded with conventional brackets. Both groups were examined and compared for rate of space closure. An evaluation was conducted for both groups until the entire extraction space was closed and confirmed by evaluation of a tight contact between the canine and the second premolar using a piece of dental floss.ResultsBefore the initiation of retraction, all initial criteria were similar between the two groups (P &gt; .05). No difference was observed between the two groups in the rate of space closure (P &gt; .05).ConclusionsMOP in conjunction with passive self-ligation does not increase the rate of orthodontic space closure when compared with MOP used with conventional brackets.
Notas sobre la vegetación de Andalucía. IV.
Authors: Pérez Latorre Andrés V. , Cabezudo Baltasar 
Published: March 2020

Short notes about Andalusian vegetation. IV. Palabras clave. Vegetación, sintaxonomía, Genistion Izaenselero - polyanthi, Minuartio - Poion ligulatae,Andalucía, España.Key words. Vegetation, syntaxonomy, Genistion haenselero - polyanthii, Minuartio - Po ion ligulatae,Andalusia, Spain.
Aportaciones a la flora de Andalucía. II.
Authors: Cabezudo Baltasar , Pérez Latorre Andrés V. , Navas David , Caballero Gonzalo , Gavira Óscar 
Published: March 2020

New data on the Andalusian flora. II. Palabras clave. Juniperus, Dryopteris, Moehringia, Ulex, Fran gula, Lithodora, Atropa, flora, corología, Andalucía, España.Key words. Juniperus, Dryopteris, Moehringia, Ulex, Fran gula, Lithodora, Atropa, flora, chorology, Andalusia, Spain.
Intentional Application of the Taba Curriculum Model to Develop a Rural Pharmacy Practice Course
Authors: Portillo Edward Christopher , Look Kevin , Mott David , Breslow Robert , Kieser Mara , Gallimore Casey 
Published: March 2020

The changing profession of pharmacy demands student preparation in dynamic courses that address the evolving healthcare landscape. Identifying an evidence-based approach to develop such coursework and content, however, can be a considerable challenge for curriculum innovators. This manuscript explores how curriculum design models can be applied as a guide to promote purposeful development of new curriculum, with the goal of promoting students as APPE, practice, and career-ready practitioners. Authors specifically describe a case study example for the process of creating a novel rural health course using the Taba curriculum design model as a guide for selecting course content, objectives, teaching strategies, learning experiences, and evaluative measures. Through the incorporation of the Taba model, this manuscript presents an evidence-based approach to curriculum development which can be replicated across schools and colleges of pharmacy. The described approach to curriculum design, which integrates models to guide the creative process, is a systematic approach to developing curriculum with purpose. Additional opportunities exist for curriculum innovators across the academy to explore incorporation of curriculum design models to guide course development, as well as to drive curricular assessment strategies and further curriculum refinement.

Article Type: Idea Paper
PEMBERDAYAAN KELOMPOK MASYARAKAT MELALUI PENGEMBANGAN AGROINDUSTRI DI DESA MANDING TIMUR KECAMATAN MANDING
Authors: Kurdi Moh. , Fatmawati Fatmawati 
Published: March 2020

Desa Manding Timur berada di Kecamatan Manding Kabupaten Sumenep. Masyarakat di Desa Manding Timur selain menjadi pegawai, pedagang dan petani mempunyai pekerjaan lain sebagai pengusaha makanan olahan (Agroindustri). Diantara produk olahannya yang ada antara lain keripik pisang dan keripik singkong. Permasalahan yang dihadapi masyarakat Desa Manding Timur adalah rendahnya penguasanaan teknologi dan manajamen usaha masih rendah yang meliputi aspek administrasi keuangan, manajemen mutu dan manajemen pemasaran. Pada Agroindustri 80 % sistem administrasi keuangan belum tertata dengan baik dan masih banyak produk yang dihasilkan dengan kemasan yang masih sederhana sehingga kurang menarik dan kurang aman dari bahaya biologi, kimia dan fisik. Untuk jaminan mutu produk perlu adanya penyuluhan atau pengetahuan kemasan standar produk UMKM Agroindustri dan pemberian alat pengemasan. Diharapkan produk Agroindustri Desa Manding Timur mampu bersaing di tingkat regional dan nasional.Hasil program pengabdian masyarakat adalah 1) Pengrajin diberi pelatihan pembuatan laporan keuangan yang sederhana, dan pengrajin sudah mulai menerapkan pembukuan yang benar, 2) pengrajin diberi pelatihan cara pengemasan yang tepat dan dibuatkan label untuk merk produknya agar produknya tidak mudah rusak dan menarik konsumen.Pelaksanaan pemberdayaan masyarakat melalui pengembangan agroindustri di Desa Manding Timur Kecamatan Manding berjalan baik, dengan kegiatan pendampingan dan pelatihan pembuatan laporan keuangan sederhana serta pelatihan pengemasan dan penyerahan sealer serta plastik berbagai jenis yang dapat digunakan untuk mengemas produk para pengrajin. Peserta dalam kegiatan pengabdian memberikan tanggapan yang sangat baik dengan berpartisipasi mengikuti kegiatan secara tekun. Selain itu menyampaikan apresiasi kepada Tim Pelaksana karena telah memberikan pendampingan terhadap para pengrajin sehingga dapat menambah ketrampilan pengrajin untuk memajukan usahanya.
Association of Maternal Dietary Diversity and Nutritional Status with Child’s Dietary Diversity and Nutritional Status (2-5 years) in India
Authors: Ansari Gulafshan , Jain Swati , Bhatia Neena 
Published: March 2020

Dietary diversity is a measure of the number of individual foods or food groups consumed in a given period of time. Consumption of more diverse diets is one of the many approaches to improve the nutrition situation. Malnutrition is linked with quality and quantity of dietary intake. A higher dietary diversity has been associated with better nutritional status in an individual. The present study was designed to assess the dietary diversity of the mother and her child, their nutritional status, and any association between these. The sample comprised of mothers (n=100) and their children aged, 2-5 years (n=100), residing in Shakurpur, an urban slum of Delhi, India. Data on background information, obstetric history, household characteristics, and hygienic practices followed by the mother for herself and for her child, morbidity profile of mother and child, immunization, child feeding practices and birth information, were collected. Anthropometric measurements were taken for both mother and child and were analysed using Anthro plus software MDD-W (2016). Moderate wasting, underweight, and stunting were observed in 5%, 18%, and 20% of children respectively, as compared to severe wasting (4%), severe underweight (4%), and severe stunting (10%). No significant difference was observed in the height and weight of boys and girls. A greater proportion of mothers of pre-schoolers were either pre-obese (20%) or obese (9%) than underweight (3%) as per WHO classification, while a little over half (68%) the mothers were of normal weight. The mother’s nutritional status was significantly associated with all the indicators of her child’s nutritional status (p=0.00). More than 50% of the study population (both mothers and children) were consuming ≥5 food groups. Inadequacy in dietary diversity was more in mothers (49%) than children (42%). An association between maternal dietary diversity and child dietary diversity (χ2= 14.577, p=0.000) was observed. However, no association was found between dietary diversity of either the child or the mother and the nutritional status of the children (p>0.05). Thus, the present study showed that the diet of the mother and her child as well as the nutritional status of a mother and her child are associated. This re- emphasizes the fact that a mother and child are very closely related.
Household Food Insecurity, Coping Strategies and Child Dietary Diversity (24-59 months) in Ibadan, Nigeria
Authors: Samuel Folake O , Otitoju Ifeoluwa Omolara , Okekunle Akinkunmi Paul 
Published: March 2020

Background and Objective: The importance of optimal nutrition should not be underestimated in population well-being and national development. The aim of this study is to assess the relationship between household food insecurity (HFI) and child dietary diversity (CDD) in mother-child (24-59 months) pairs in an urban population.
Method: HFI and CDD were assessed using primary data collected from a sample of 360 apparently healthy mother-child pairs from three local government wards in Ibadan, Nigeria. HFI was categorized as ‘food secure’ and ‘food insecure’ and the CDD score (CDDS) was classified as low (<4) and high (≥4). Multiple logistic regression models were used to assess the association between HFI and CDD at P<0.05.
Results: 90.3% of households were food insecure and 30.0% of children had a low CDDS. The proportion of children with low CDD was significantly higher (P=0.012) among food-insecure households (32.0%) compared to children from food-secure households (11.4%). Similarly, the multivariable-adjusted odds ratio of high CDD given HFI was 0.266 (95% confidence interval 0.091, 0.783), P = 0.016.
Conclusion: HFI was associated with the risk of low CDD and children from food-insecure households are about four times less likely to present high CDDS. It is vital to affirm the significance of HFI in the risk of low CDDS using a large multi-ethnic longitudinal cohort taking into cognizance relevant confounders.