bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integrating the Rights-based and Capability Approaches in the Analysis of Maternal Healthcare Utilization in sub-Saharan Africa: A Multilevel Modelling Study
Authors: Simona Simona , Likando Nakena , Banda Andrew , Phiri Million 
Published: May 2022

Abstract
Background: The rights-based and capability approaches have received increased attention relative to maternal health in the aftermath of the 2015 Millenium Development Goals (MDGs). This is in view of the sub-optimal progress gained in reducing maternal and child mortality, especially in developing countries. Despite the combined potential of these models, limited empirical studies testing their viability in maternal health exist. This is what this study sought to accomplish. Method: We combined several datasets for this study, including the Demographic Health Survey (DHS), World Development Indicators, the World Governance Indicators and Freedom House. Using the R programming environment and the R2MLwiN package, Bayesian multilevel logistic regression models were applied on three indicators of maternal healthcare (antenatal care visits, institutional delivery, and postnatal check-ups) in relation to selected individual, community and country-level factors representing right-based and capability approaches. All the models report posterior odd ratios (POR).Results: The results support the potence of the rights-based and capability approaches in bolstering maternal healthcare utilization in sub-Saharan Africa. Living in countries which have high freedom status (POR = 1.19) and higher female secondary school enrolments (POR = 1.54) increases the odds of adequate antenatal care. Living in countries with high freedom status (POR =1.33) and higher voice and accountability (POR = 1.72) also increases the odds of institutional delivery. Similar results are reported for postnatal care where country freedom status (POR = 1.89), voice and accountability (POR = 1.25) and female school enrolment (POR = 1.41) are significant predictors. Conclusion: The results imply that the rights-based and capability approaches have the potential to enhance maternal healthcare utilization in sub-Saharan Africa. Therefore, policy strategies emphasizing on freedoms, accountability and individual capability functionings should be encouraged in the pursuit of achieving Sustainable Development Goals number 3.
Prenatal genetic diagnosis in a fetus with tetrasomy 18p from maternal trisomy 18p: a case report
Authors: Peng Can , LinPeng SiYuan , Bu Xiufen , Jiang XuanYu , Hu LanPing , He Jun , Zhou ShiHao 
Published: May 2022

Abstract
Background: Tetrasomy 18p syndrome is a very rare chromosomal disorder that is caused by the presence of isochromosome 18p.Most tetrasomy 18p cases are de novo cases,maternal origin trisomy 18p is a very rare condition.At present, only 4 cases of maternal origin trisomy 18p have been reported.This was the the fifth from maternal trisomy 18p,the mother has no apparent disease phenotype.Case presentation: We hereby report a case of a fetus with normal ultrasound features, the Karyotyping and Single Nucleotide Polymophism array (SNP array) confirmed tetrasomy 18p.The mother and grandfather are phenotypically normal and healthy,but with trisomy 18p was confirmed by conventional karyotyping and SNP array.Conclusions: We report a family with an 18p trisomic mother and grandfather,18p tetrasomic fetus,the mother and grandfather are phenotypically normal. The findings could provide a reference for the genetic counseling of trisomy
Oligopeptides derived from solid-state fermented cottonseed meal showed good antioxidant activity in both in vitro and in vivo studies
Authors: Liu Jiancheng , Li Fengming , Zhang Xiaoyang , Nie Cunxi , Zhang Wenju 
Published: May 2022

Abstract
To determine the in vitro and in vivo antioxidant activities of oligopeptides derived from solid-state fermented cottonseed meal. The free radical scavenging in vitro as well as the antioxidative function and lipid metabolism in an oxidized stress mice model was applied in the present study and results indicated that the oligopeptides showed good antioxidant activity both in vitro and in vivo. A positive correlation between the oligopeptides content, free radical scavenging ability and total antioxidant activity was observed when the oligopeptides concentration ranged from 0.5 mg/mL to 8 mg/mL. While the in vivo study indicated that feeding oligopeptides increased the activities of T-AOC, T-SOD, CAT, GSH-Px in the liver and serum of mice (p<0.05) and decreased the content of MDA (p<0.01). Our results indicated that the oligopeptides showed good antioxidant activity and could improve the antioxidant capacity as well as blood lipid metabolism in mice.
Potential antiviral effects of pantethine against SARS-CoV-2
Authors: M Abou-Hamdan , R Saleh , S Mani , P Dournaud , M Metifiot , ML Blondot , ML Andreola , F Abdel Sater , Max De Reggi , P Gressens , M Laforge 
Published: May 2022

Abstract
SARS-CoV-2 interacts with cellular cholesterol during many stages of its replication cycle. Pantethine was reported to reduce total cholesterol levels and fatty acid synthesis and potentially alter different processes that might be involved in the SARS-CoV-2 replication cycle. Here, we explored the potential antiviral effects of pantethine in two in vitro experimental models of SARS-CoV-2 infection.Pantethine reduced the infection of cells by SARS-CoV-2 in both preinfection and postinfection treatment regimens. Accordingly, cellular expression of the viral spike and nucleocapsid proteins was substantially reduced, and we observed a significant reduction in viral copy numbers in the supernatant of cells treated with pantethine. In addition, pantethine inhibited the infection-induced increase in TMPRSS2 and HECT E3 ligase expression in infected cells as well as the increase in antiviral interferon-beta response and inflammatory gene expression in Calu-3a cells. Our results demonstrate that pantethine, which is well tolerated in humans, was very effective in controlling SARS-CoV-2 infection and might represent a new therapeutic drug that can be repurposed for the prevention or treatment of COVID-19 and long COVID syndrome.
An Efficient and Simple Algorithm for Solving Fractional Order Differential Equations
Authors: Pérez Pablo 
Published: May 2022

Abstract
It is presents and discuss an algorithm to generate the numerical solution of fractional differential equations in the form: Dα ∗ x(t) = f(t, x(t)), x(0) = x0, with α ∈ R +, where Dα ∗ x(t) is the derivative of order α in the sense of Caputo of the function x(t). The algorithm is based on a variable change that suppresses the fractional integral kernel that enables us to establish a simple first order quadrature for the operator of fractional integration. We extend the result to a wider class of fractional differential equations, and conclude the article with numerical examples that show the effectiveness and convenience of the application of our algorithm.
On the solution of the Navier–Stokes system in three-dimensions
Authors: Thambynayagam R. K. Michael 
Published: May 2022

Abstract
A few basic, intuitive, properties of the Navier-Stokes system of equations for incompressible fluid flows are discussed in this paper. We present a rephrased interpretation of the Navier-Stokes equation. Next, for a given smooth solenoidal initial velocity vector field, we derive a spatially periodic solution of velocity and pressure fields that span the entire unbounded domain in three-dimensions. In this solution all three velocity components depend non-trivially on all three Cartesian coordinate directions.2000 Math Subject Classification: 35Q30, 76D05
Data Note on social networking sites and their impact on self-esteem and social capital formation among Emerging adults of Idukki, Kerala.
Authors: MPH Athulya Thomas , Kannan Srinivasan 
Published: May 2022

Abstract
This data note on Social networking sites (SNS) and their impact on social esteem and social formation is associated with human relationships in the context of decreased space due to increased use of digital communication. The participants of this data are emerging adults using digital devices and interact with their friends in the virtual world that affected physical, emotional, social and cognitive development. The data note aims to organise data set on the use of Social networking sites that influences social capital formation among emerging adults. It is the data of a cross-sectional survey conducted among 455 emerging adults who studied undergraduate courses in the Idukki district using the cluster sampling method. Data was collected using a self-reported questionnaire, having details on the pattern of SNS usage, self-esteem using the Rosenberg scale, and social capital formation. There were 56% of Arts and Science students, 14% of Medical students and 30% of engineering students. Data is archived on psycharchives.org with details on Dataset, Code sheet, Tool in English, Tool in Malayalam, and Consent Form. All data are complete and the actual data is available in CSV format with the codebook for each and every variable in the data file. The data will be useful for future studies on self-esteem, social capital formation among emerging adults around the world. In addition, the usage pattern of SNS will give more details on emerging adults’ access to those sites.
Predictors of 30-Day Mortality Using Machine Learning Approach following Carotid Endarterectomy: An Insight from National Surgical Quality Database.
Authors: Mohamed Ahmed , Fatima Nida , Ahmed Ayman Zakaria , Shuaib Ashfaq , Saqqur Maher 
Published: May 2022

Abstract
BACKGROUND
Pre-operative prognostication of 30-day mortality in patients with carotid endarterectomy (CEA) can optimize surgical risk stratification and guide the decision-making process to improve survival. To develop and validate a set of predictive variables of 30-day mortality following CEA.
METHODS
The patient cohort was identified from the American College of Surgeons National Surgical Quality Improvement Program (2005–2016). We performed logistic regression (enter, stepwise and forward) and least absolute shrinkage and selection operator (LASSO) method for selection of variables, which resulted in 28-candidate models. The final model was selected based upon clinical knowledge and numerical results.
RESULTS
Statistical analysis included 65,807 patients with 30-day mortality in 0.7% (n = 466) patients. The median age of our cohort was 71.0 years (range, 16–89 years). The model with 9-predictive factors which included: age, body mass index, functional health status, American society of anesthesiologist grade, chronic obstructive pulmonary disorder, preoperative serum albumin, preoperative hematocrit, preoperative serum creatinine and preoperative platelet count—performed best on discrimination, calibration, Brier score and decision analysis to develop a machine learning algorithm. Logistic regression showed higher AUCs than LASSO across these different models. The predictive probability derived from the best model was converted into an open-accessible scoring system.
CONCLUSION
Machine learning algorithms show promising results for predicting 30-day mortality following CEA. These algorithms can be useful aids for counseling patients, assessing pre-operative medical risks, and predicting survival after surgery.
Algorithm Simulation of an Efficient Strategy for Green Cloud Computing
Authors: Abiodun Moses Kazeem 
Published: May 2022

Abstract
In order to reduce the energy costs of running cloud computing services, this study looked into the methodologies and algorithms used in Green Cloud Computing (GCC). Huge datacenters and network transferring services need a lot of energy, which results in a lot of CO2. As a result, the GCC concept has arisen and evolved in order to reduce electrical power energy consumption and worldwide carbon dioxide emissions while also maintaining the services' long-term sustainability, dependability, and efficiency. In this research work, Cloud Analyst simulation software was used to mimic six datacenters in regular operation for six users in diverse locations around the world during a 365-day period. The TLB and ORTP Service Broker algorithm combination is the ideal algorithm combination because it has the fastest reaction time, which means it uses fewer resources and equipment, saving power and money. On the other side, the ESCELB Policy and ORTP Broker is the worst algorithm combination since it takes the longest time to respond, consumes more power, and increases overall cost. As a result, the study concludes that TLB and ORTP strategies should be implemented for effective green cloud computing in a safer environment.
Viral Respiratory Diseases on Sorok Island during the Pandemic
Authors: Lee Jong-Hoon , Kanwar Badar A. , Khattak Asif , Balentine Jenny , Cho Seongcheol , Choi Tae-young , Lee Keum-ho , Minh Tuan Nguyen Ngoc , Kast Richard E. , Lee Chul Joong , Bourbeau Jean , Altschuler Eric L. , Sergi Consolato , Huy Ngoc Nguyen , Lee So Jeong , Choi Su-Hee , Oh Sang-Suk , Park Jungwuk , Sohn Mun-Gi , Coleman Michael D. 
Published: May 2022

Abstract
Background: Dapsone is helpful in the molecular regulation of inflammasome activation, ubiquitin, one/two-electron oxidation, ubiquitination cascade, and myeloperoxidase/halide system. Objective: To study whether lung inflammation, inflammatory cytokine production, viral RNA, and sustained interferon (IFN) response by dapsone are responsible for its observed preventive treatment effects, functioning as a competitor against viral diseases. Methods: We compared Hansen's disease (HD) patients with viral respiratory diseases (VRDs) after prescribing dapsone as a standard treatment from 2005 to 2019. Results: The 3705 VRD participants who received the dapsone intervention compared to the 1172 VRD participants in the control group demonstrated T2 (M = 269.88, SD = 88.70, 95% CI 266.13-273.62, p-value < .00001):T3 (M = 59.75, SD = 93.36, 95% CI 51.36-68.14, p-value < .00001) definitely proves that VRD is very low when dapsone is taken, and very high when not taken. The t-value is −3.42, and the p-value is 0114. (significant at p < 0.05). It demonstrated significantly more prevalence of VRD in the DDS unprescribed group. We designed the Factor consisting of the dapsone taking group and anti-Alzheimer's disease drug (AAD) taking Alzheimer's disease (AD) diagnosed group, and it was strongly negatively correlated with the prevalence of Bronchitis and chronic obstructive pulmonary disease (COPD). It means that dapsone treated and AAD exacerbated them, but both had nothing to do with Pneumonia.Conclusion: This study provides theoretical clinical data that dapsone prevents and treats viral respiratory diseases and their related Bronchitis and COPD during the pandemic; moreover, AAD should be stopped.
Prototipação de game educativo para prevenção de acidentes na infância
Authors: Costa Vânia Chagas da , Silva Keity Ranielly do Amaral , Felix Luana Ketlen Cavalcanti de Lima , Nascimento Monique Maria de Lima , Pereira Emanuela Batista Ferreira e 
Published: May 2022

Objetivo: Descrever o desenvolvimento de um protótipo de game educativo para prevenção de acidentes comuns na infância. Metodologia: Estudo descritivo sobre desenvolvimento tecnológico de um protótipo de game educativo, proveniente de pesquisa original sobre utilização da gamificação como ferramenta educativa para prevenção de acidentes na infância. O desenvolvimento do protótipo guiou-se pela estratégia Design Thinking, com uso do software educacional Scratch que é uma plataforma online, gratuita. Os cenários e personagens foram construídos com figuras disponíveis em acesso livre na internet. Resultados: O protótipo do game foi intitulado “Detetives do perigo”, com público alvo crianças entre 8 a 10 anos de idade. As fases do game apresenta situações de risco de acidente na rotina diária da criança, e explica de forma simples e interativa como evitá-los. O game é composto por dez cenários, sendo quatro de orientações e seis dos ambientes domiciliar, escolar, via e parque público, onde são expostas as situações de risco de acidente. Conclusão: O uso de ferramentas tecnológicas nas ações de educação em saúde, permite que a criança seja protagonista no cuidado com sua saúde e bem-estar, o despertar do senso crítico compatível com sua faixa etária, pode contribuir na redução de acidentes na infância. Descritores: Prevenção de acidentes, Saúde da criança, Jogos e brinquedos, Informática em enfermagem, Educação em saúde.
Recent Advancement of Transition Metal-mediated Reactions of Diazomethane and (Trimethylsilyl)diazomethane
Authors: Muhuri Sanjukta 
Published: May 2022

Abstract:Diazomethane and trimethylsilyl diazomethane are common and versatile reagents in organic synthesis and they are unique as reactants in synthetic methodology. These reagents may be used in esterification, dipolar cycloaddition, epoxidation, aziridination, cyclopropanation, and carbonyl homologation. The lack of practical, scalable methods for the construction of cyclopropanes is a long-standing problem in industrial chemistry and diazomethane/ trimethylsilyl diazomethane has the potential to significantly reduce the cost of bringing new cyclopropane-bearing compounds to market. The transition metal-mediated reactions of diazomethane and trimethylsilyl diazomethane with alkenes, terminal alkynes and carbonyl compounds are being discussed in this article. The mechanism of different coupling, insertion and rearrangement reactions are also explored in this review article. The toxicity and explosive nature of diazomethane/ trimethylsilyl diazomethane are known to all, but concurrently, their efficacy and significant role as the reagents in synthetic transformation can’t be ignored. The untoward properties of diazomethane and trimethylsilyl diazomethane combined with its versatility, make the identification of safe protocols for its use. Considering the importance of these reagents, a concise review is needed. This article will highlight recent metalmediated reactions of diazomethane and trimethylsilyl diazomethane compounds that have been reported from 2000 until 2020.
Proteomics and Computational Analysis of Cytosolic Proteome of a Thermoacidophilic
Euryarchaeon, Picrophilus torridus
Authors: Goel Manisha , Singhal Neelja , Garg Anjali , Singh Nirpendra , Kumar Manish 
Published: May 2022

Background:
Picrophilus torridus is a thermoacidophilic archaeon that thrives in an extremely
low pH (0-1) and high temperatures (50-60°C). Thus, it is a suitable organism to study microbial
genetics and metabolic adaptations to the extremely acidic and moderate thermal environment.

Objective:
In the present study we have conducted a global proteome analysis of P. torridus and
discerned the cytosolic proteome of P. torridus using gel-free, liquid chromatographymass spectrometry
(LC-MS/MS).

Methods:
The cytosolic proteins of P. torridus were extracted and identified using gel-free, LCMS/
MS. Gene Ontology-based pathway analysis and protein-protein interaction studies were performed
to understand the role of various cytosolic proteins in sustaining the thermoacidophilic environment.
Also, domain analysis of hypothetical/uncharacterized proteins was performed.

Results:
Using gel-free LC-MS/MS, 408 cytosolic proteins of P. torridus were identified, including
36 hypothetical/uncharacterized proteins. Thus, we could identify 26.58 % of the theoretical proteome
of P. torridus. The majority of the cytosolic proteins were observed to be multi-functional and
involved in activities related to microbial metabolism.

Conclusion:
Comparison with an earlier study that used gel-based LC-MS analysis to identify cytosolic
proteins of P. torridus revealed that gel-free LC-MS was better in identifying more number of
proteins and also, higher/lower molecular weight proteins. The findings of this study may contribute
to our understanding of the P. torridus proteome and serve as a foundation for future proteomic research
on other thermoacidophilic archaea.
Proteomics, Peptidomics and Transcriptomic Analysis of the Venom from
the Spider Macrothele yani (Mygalomorphae: Macrothelidae)
Authors: Zhao Yu , Yang Zi-Zhong , Gu Xiao-Liang , Wang Ying , Zhang Cheng-Gui , Wu Xiu-Mei , Xiao Huai , Yang Yin-He , Yang Da-Song , Yang Zhi-Bin 
Published: May 2022

Background:
Spider venom show abundant diversity in both peptides and proteins,
which play essential roles in new drug development and agrochemistry. The venoms of Macrothele
yani species have strong toxicity on the victims.

Objective:
The purpose of this study is to comprehensively characterize the profile of venom proteins
and peptides of spider Macrothele yani mainly inhabiting Yunnan province, China.

Methods:
Using a combination of RNA sequencing of the venom glands and venom proteomics based
on Liquid Chromatography-Electrospray Ionization-Tandem Mass Spectrometry (LC-ESI-MS/MS),
we provide the first overview of the peptides and proteins synthesized from Macrothele yani.

Results:
A total of 116 peptide sequences were analyzed, and 43 homologous proteins were
matched, of which 38.10% were toxin proteins. High-throughput sequencing by the HiSeq-2000 (Illumina),
followed by de novo assembly. As a result, 301,024 similar protein sequences were annotated
in the available databases. A total of 68 toxins-related sequences were identified, comparative
sequence analyses of these sequences indicated the presence of different types of enzymes and toxin-
like genes, including Acetylcholinesterase, Hyaluronidase, cysteine-rich secretory proteins
(CRISP), Astacin metalloprotease and other venom components.

Conclusion:
The venom of a spider is a very abundant resource in nature. They were analyzed to
determine their function in pathophysiology. Molecular templates with potential application value in
medical and biological fields were obtained by classifying and characterizing the presumed components
of spider venom of Macrothele yani, which laid a foundation for further study of the venom in
the future.
Evaluation of the In Vitro Antimicrobial Activities of Delphinium roylei: An Insight from Molecular Docking and MD-Simulation Studies
Authors: Mir Wajahat Rashid , Bhat Basharat Ahmad , Almilaibary Abdullah , Asdaq Syed Mohammed Basheeruddin , Mir Manzoor Ahmad 
Published: May 2022

Ethnopharmacological relevance:The burden of antimicrobial resistance demands a continued search for new antimicrobial drugs. The synthetic drugs used clinically have serious side effects. Natural products or compounds derived from natural sources show diversity in structure and play an essential role in drug discovery and development.Objective:Delphinium roylei is an important medicinal herb of Kashmir Himalaya, India. Traditionally this medicinal plant treats liver infections, skin problems, and chronic lower back pain. The current study evaluates the antimicrobial potential of various extracts by in -vitro and in -silico studies.Methods:Three extracts and 168 bioactive compounds analysed through LC-MS data, with the vast majority of them having therapeutic applications. D. roylei have been screened for the antimicrobial activity against bacteria (Escherichai coli, Streptococcus pneumonia, Haemophilus influenzae, Neisseria mucosa) and fungi (Candida albicans, Candida glabrata, Candida Paropsilosis) species through molecular docking using autodock Vina, MD simulation and a broth microdilution method for minimum inhibitory concentration (MIC) evaluation.Results:The extracts and the compounds analyzed through the LC-MS technique of Delphinium roylie showed significant antimicrobial activity.Conclusion:Our study established that the leaf extracts of Delphinium roylei exhibit antimicrobial activity and thus confirm its importance in traditional medicine.