bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Dfam Community Resource of Transposable Element Families, Sequence Models, and Genome Annotations
Authors: Storer Jessica , Hubley Robert , Rosen Jeb , Wheeler Travis , Smit Arian F.A. 
Published: September 2020

Abstract
The 3.0-3.2 releases of Dfam (https://dfam.org) represent an evolution from a proof-of-principle collection of transposable element families in model organisms into a community resource for a broad range of species and for both curated and uncurated datasets. In addition, releases since Dfam 3.0 provide auxiliary consensus sequence models, transposable element protein alignments, and a formalized classification system to support the growing diversity of organisms represented in the resource. The latest release includes 266,740 new de novo generated transposable element families from 336 species contributed by the EBI. This expansion demonstrates the utility of many of Dfam’s new features and provides insight into the long term challenges ahead for improving de novo generated transposable element datasets.
Investigation of Effective Parameters on Cladded Plate Delamination During Pressure Vessels Head Manufacturing by FEM and DOE
Authors: Afshari Mahmoud , Arezodar Alireza Fallahi , Sattarifar Iraj 
Published: September 2020

Abstract
Roll-Bond cladded plates are widely used in industry. Stainless steels, Ni, Cu and Ti are used as clad usually. In multi-piece head manufacturing, while these plates press to form petals, delamination occurs in some cases. In this paper, the effective parameters on delamination are investigated. Because of more widely used in respective industry, SA 516 GR 70 as base plate and SS 316L as clad are selected. First of common criteria for defining delamination, the strain energy release rate (SERR), as explanatory parameter selected and calculated using finite element technique and VCCT method. Interface is modeled as cohesive zone with tied mesh technique and by validated experimental work. The design of experiment method is response surface methodology (RSM), and effect of input parameters on output parameter, SERR, is obtained. Results indicate that head radius have greatest impact on G and then thickness of the plate, pressing force, number of pressing steps, shear strength and friction coefficient are placed in the next rows. Among these, when the radius of the head and shear strength increase, SERR decrease and the head radius impact is much greater than shear strength. Finally, in order to prevent delamination, some strategies have been proposed.
Huntingtin-interacting Protein 1 Promotes Vpr-induced G2 Arrest and HIV-1 Infection in Macrophages
Authors: Murakami Tomoyuki , Chutiwitoonchai Nopporn , Takei Masami , Aida Yoko 
Published: September 2020

Abstract
Background: Human immunodeficiency virus type 1 (HIV-1) modulates the host cell cycle. The HIV-1 accessory protein Vpr arrests the cell cycle at G2 phase, which is important for efficient viral replication in dividing CD4+ T cells, because the transcriptional activity of the HIV-1 long terminal repeat is most active in G2 phase. Additionally, Vpr-mediated G2 arrest likely correlates with enhanced HIV-1 infection in monocyte-derived macrophages.Results: Here, we screened small-interfering RNA to reveal candidates that suppress Vpr-induced G2 arrest and identified Huntingtin-interacting protein 1 (HIP1) as both directly interacting with Vpr and required for efficient G2 arrest. Interestingly, HIP1 was not essential for Vpr-induced DNA double-strand breaks, which are required for activation of the DNA-damage checkpoint and G2 arrest. Furthermore, HIP1 knockdown suppressed HIV-1 infection in monocyte-derived macrophages.Conclusions: These results suggest that HIP1 operates in the downstream step(s) of DNA-damage induction to promote Vpr-induced G2 arrest and enhances HIV-1 infection in macrophages.
Clinical Experience in the Treatment of Severe Eosinophilic Asthma With Mepolizumab
Authors: Rodríguez Ana Isabel Enríquez , Valverde Tamara Hermida , Álvarez Pedro Romero , González Francisco Julián López , Blanco Jose Antonio Gullón , Villegas Ana Rosa Expósito , Fernández Maria José Escobar , Urquiza Ana María Beristáin , Fernández Miguel Ángel Alonso , Rodríguez Margarita Gutiérrez , Pozas Gema Castaño De Las , Pérez Jeniifer Jiménez , Mellado Roberto Fernández , Clemente Marta María García , Clara Pere Casán 
Published: September 2020

Abstract
Introduction: Severe eosinophilic asthma is an incapacitating disease requiring the patient to take many drugs, amongst which are oral corticoids (OCS), for its control. Mepolizumab is a monoclonal antibody capable of blocking the binding of Interleukin 5 (IL-5) to the eosinophils, and, in this way reducing the exacerbations, symptoms and need for OCS. Our objective was to evaluate the experience with this drug on patients being treated for severe asthma in real-life conditions. Methods: Retrospective, multicentric study carried out in eight hospitals in the Principality of Asturias, in which the demographic, clinical, analytical, lung function and ACT (Asthma Control Questionnaire) data of the patients with severe eosinophilic asthma being treated with Mepolizumab for three years were collected. Results: Sixty-nine patients (72% women) were included, with a mean age of 56±13 years. The eosinophil blood count before treatment was 856 cels/mm3 (SD 754), decreasing after 6 months to 101 cels/mm3 (SD 98). Annual exacerbations decreased from 4.7 (SD 3.7) to 1.3 (SD 2.5) (p=0.001), while the FEV1% increased from 68% (SD 20) to 76% (SD 21) (<0.001). At the onset 25 patients (36%) were using OCS ( 18 mg/day of prednisone) and after treatment this decreased to 13 (19%) ( 9mg/day of prednisone) ( p=0.000), with complete withdrawal in 12 (48%). The response to Mepolizumab was positive in 56 patients (81%), and no adverse effects were observed. Conclusions: Mepolizumab has demonstrated to be efficacious and safe in real life in the treatment of patients with badly controlled eosinophilic asthma.
Improved Reproducibility of Protein Detection in Neuromelanin-containing Human Substantia Nigra Tissue enriched by Laser Microdissection
Authors: Kösters Steffen , Rettel Mandy , Eggers Britta , Riederer Peter , Gerlach Manfred , Savitski Mikhail , Marcus Katrin , May Caroline 
Published: September 2020

Abstract
Background: Processing of post-mortem human brain tissue samples like Neuromelanin-containing substantia nigra is a challenging task in proteomics research in the context of neurodegenerative diseases such as Parkinson’s disease, due to the availability of only limited sample amounts. Therefore, a highly efficient lysis and digestion approach is needed to guarantee high reproducibility and a good quantification performance. We conducted a systematic study in order to compare qualitatively and quantitatively six different sample preparation protocols for substantia nigra brain tissue collected by laser microdissection.Results: LC-MS/MS analysis revealed that the combination of formic acid and in-solution digestion with trypsin leads to an enhanced peptide and protein identification as well as a robust and reliable protein quantification with a very good reproducibility.Conclusion: We recommend this protocol for future studies of human substantia nigra tissue as well as NM granules in the context of neurodegenerative disorders like Parkinson syndrome.
Validation Optimisation using Machine Learning Techniques
Authors: Dharmapuri R Akshay 
Published: September 2020

Integration and validation is the most vital part before releasing products to customers in Intel. The validation team qualifies the release based on multiple stages of validation on hardware and software stack. Bugs are raised after execution of test cases on each platform and so similar bugs arise which are filed by the user. There is a immediate concern on this and hence, many issues are closed as duplicates.The main objective is to find these similar bugs for each bug filed and thereby,debug efforts can be reused.Similar bugs are found by term based search using ElasticSearch ,a text search engine and neural network based search where context is considered.Using elasticsearch,scoring algorithms based on driver versions and platform hierarchy are applied to rank the similar bugs. LSTM neural networks are also incorporated to predict duplicate bugs by considering context of the sentence and thereby, increasing accuracy.
Immunoinformatics Patterns and Characteristic of Epitope-Based Peptide Vaccine candidates against COVID-19
Authors: I. Mustafa Mujahed , H. Abdelmoneim Abdelrahman , M. Makhawi Abdelrafie 
Published: September 2020

Vaccination as defined by the WHO is “the administration of agent-specific, but safe, antigenic components that in vaccinated individuals can induce protective immunity against the corresponding infectious agent”. Regardless of their debated history, the standard vaccine approaches have been unsuccessful in providing vaccines for numerous infectious organisms. In the recent three decades, an enormous amount of immunological data was retrieved from clinical studies due to the advancement in human genome sequencing. These data are being deposited in databases and numerous scientific literature. The development of several bioinformatics tools to analyze this rapidly increasing immunological databank has given rise to the field of immunoinformatics. This approach allows the selection of immunogenic residues from the pathogen genomes. The ideal residues could be industrialized as vaccine candidates to provide protective immune responses in the hosts. This methodology will significantly decrease the time and cost needed for the vaccine development. This review focus on published articles that proposed as vaccine candidates through immunoinformatics analysis. The reviewed Published immunoinformatics studies provided vaccine peptide candidates against SARS-COV-2, which is based on functional and non functional immunogenic proteins like open reading frame , spike protein, envelope protein and membranous protein .All of which are designed by unique strategies like reverse vaccinology . Spike protein was the most common used target with different suggeststed B and T cell peptides due to the difference in methodology between the findings.
An Explication of Pandemic Public Health Emergency, Coronavirus Disease 2019 (COVID-19)
Authors: Pant Neha , Upadhyay A. K. 
Published: September 2020

In December 2019 a series of acute atypical respiratory disease occurred in Wuhan, China. The first clusters of cases were identified in association with the South China Seafood Market. In subsequent investigations it was found to be a novel coronavirus. It is suggested to have zoonotic origin. On December 31st 2019, China notified the outbreak to the World Health Organization. During the New Year, the massive migration of Chinese fuelled the epidemic. Cases in other provinces of China and other countries (South Korea, Thailand and Japan in quick succession) were reported in people who were returning from Wuhan. On 11 February, on the basis of existing rules on taxonomy the virus was names as SARS-CoV-2. SARS-CoV-2 belongs to the family of coronaviruses. It is a positive-sense single-stranded RNA (+ssRNA) virus. It has a single linear RNA segment. On the same day WHO announced the new name for the disease i.e. Coronavirus disease 2019 (COVID-19). The WHO and the US Centers for Disease Control and Prevention (CDC) say it is primarily spread directly due to close contact between people through small droplets produced during coughing, sneezing or talking within a range of about 1-3 meters. It may even transmit through indirect contact via fomites. While there are concerns it may spread by feces, this risk is believed to be low. Soon, the number of cases started increasing exponentially and on March 12, 2020 WHO announced COVID-19 a pandemic. COVID-19 has been impacting a large number of people worldwide, being reported in approximately 200 countries and territories. It was identified that Angiotensin converting enzyme 2 (ACE2) act as a functional receptor for SARS-CoV-2. The pathophysiology of COVID-19 follows sex differences, age differences, race differences in as well as underlying disease conditions i.e. comorbidities aggravated the severity of this disease. The most common symptoms being reported are fever, dry cough or chest tightness, and dyspnoea. It is now widely recognized that respiratory symptoms of COVID-19 are extremely heterogeneous, ranging from minimal symptoms to significant hypoxia with ARDS. Diagnosis is done with the help of history, clinical signs and serological testing. Real-time reverse transcription polymerase chain reaction (rRT-PCR) is considered the standard method of testing. Several have been tested in clinical trials but none of them have been proven to be a definite therapy yet. The evolution of the current outbreak has seen extraordinary measures put in place to control transmission, including the ‘shut-down’ and ‘quarantine’. Researchers are trying to develop a vaccine against SARS-CoV-2 but at present, no vaccine is available. One should strictly follow all the preventive measures as directed by WHO and CDC and along with this, one should boost up its natural immunity to lessen the chances of getting infection.
Progress of Stimuli-Responsive Nanoscale Metal Organic Frameworks as Controlled Drug Delivery Systems
Authors: Feng Ailing , Wang Yanni , Ding Jinzi , Xu Rong , Li Xiaodong 
Published: September 2020

Background:
Development of controlled drug delivery systems can improve the pharmacokinetic
characteristics of drug molecules in the human body, thereby significantly improving the
utilization rate of drugs and reducing toxicity and side effects caused by their high concentrations,
which can occur when delivery is not controlled. Metal organic frameworks are a new class of very
promising crystalline microporous materials, especially when the size is reduced to the nanometer
range. Metal-organic frameworks exhibit large specific surface areas, tunable compositions, and
easy functionalization. In recent years, an increasing number of studies have reported the remarkable
advances in multifunctional nanoscale metal-organic frameworks in drug delivery.

Objective:
To review the latest research involving advances in stimuli-responsive nanoscale metal
organic frameworks as drug delivery systems in controlled-release drugs.

Discussion:
We first introduce the two main strategies associated with nanoscale metal organic
frameworks used in drug loading: direct assembly and post-encapsulation. We next focus on the latest
discoveries of nanoscale metal-organic framework-based stimulus response systems for drug delivery,
including pH, magnetics, light, ion, temperature, and other stimuli, as well as multiple stimulus-
responsive drug delivery systems. Finally, we discuss the challenges and future developmental
directions of nanoscale metal-organic framework-based controlled drug release.
Improved Drug Delivery System for Cancer Treatment by D-Glucose Conjugation with Eugenol From Natural Product
Authors: Razak Mas Amira Idayu Abdul , Hamid Haslinda Abdul , Othman Raja Nor Izawati Raja , Moktar Shaik Alaudeen Mohd , Miskon Azizi 
Published: September 2020

Introduction:
Bioconjugations are swiftly progressing and are being applied to solve
several limitations of conventional Drug Delivery Systems (DDS) such as lack of water solubility,
non-specific, and poor bioavailability. The main goals of DDS are to achieve greater drug effectiveness
and minimize toxicity to the healthy tissues.

Objectives and Methods:
In this study, D-glucose was conjugated with eugenol to target the cancer
cells. To identify the implication of the anticancer effect, osteosarcoma (K7M2) cells were cultured
and the anti-proliferative effect was performed using MTT [3-(4,5-dimethylthiazol-
2-yl)-2,5-diphenyl tetrazolium bromide assay] test in order to evaluate the viability and toxicity
on cells with various concentrations of eugenol and D-glucose-eugenol conjugate in 24-hour incubation.

Results:
It was found that, the successful confirmation of the conjugation between D-glucose and
eugenol was obtained by 1H NMR spectroscopy. MTT assay showed inhibitory concentration
(IC50 value) of D-glucose-eugenol was at 96.2 μg/ml and the decreased of osteosarcoma cell survival
was 48%.

Conclusion:
These findings strongly indicate that K7M2 cells would be affected by toxicity of Dglucose-
eugenol. Therefore, the present study suggests that D-glucose-eugenol has high potential
to act as an anti-proliferative agent who may promise a new modality or approach as the drug delivery
treatment for cancer or chemotherapeutic agent.
Experiences of Professional Nurses Regarding the Implementation of a Central Chronic Medicine Dispensing and Distribution Program at Primary Health Care Facilities in South Africa.
Authors: Muthelo Livhuwani , Nemagumoni Tshinanne , Mothiba Tebogo Maria , Phukubje Arthur Thabo , Mabila Linneth Nkateko 
Published: September 2020

Background:
The Central Chronic Medicine Dispensing and Distribution (CCMDD) program is a new program initiated by the Department of Health, South Africa to provide an alternative chronic medicine access program to public sector patients. The program is designed to improve access to required medicine, especially to patients who are on chronic medicines while assisting with the decongestion of public clinics.

Purpose:
The purpose of the study was to determine the experiences of professional nurses regarding the implementation of the Central Chronic Medicine Dispensing and Distribution program.

Methods:
A qualitative descriptive, phenomenological and exploratory design research was conducted to determine the experiences of professional nurses regarding the implementation of the central chronic medicine dispensing and distribution program. Purposive sampling was used to select 15 professional nurses who participated in the study. Data were collected through a semi-structured one-on-one interview method, using a scheduled interview guide. The study was conducted in three Primary Health Care (PHC) facilities in Vhembe District, Limpopo Province, where professional nurses dispensed medicine to patients through the CCMDD programme. Data were analysed using Tesch’s method. Lincoln and Guba's four strategies were applied to ensure trustworthiness.

Results:
The findings of this study reveals that proffessional nurses in Vhembe experienced challenges with the implementation of the CCMDD program; such as late delivery of medication, lack of parcel tracking, patients receiving collection notification messages late, incorrect medication being issued to the patients, lack of pick up points in rural areas, and lack of patients’ data availability in the clinic facilities.

Conclusion:
South Africa is in the process of developing and implementing universal health care for all (National Health Insurance). The effective implementation of the CCMDD program should ensure equal access for all patients to their medication, in both rural and urban areas.
“Down the Rabbit Hole” of Vaccine Misinformation on YouTube: Network Exposure Study
Authors: Tang Lu , Fujimoto Kayo , Amith Muhammad (Tuan) , Cunningham Rachel , Costantini Rebecca A , York Felicia , Xiong Grace , Boom Julie A , Tao Cui 
Published: September 2020

Background
Social media platforms such as YouTube are hotbeds for the spread of misinformation about vaccines.

Objective
The aim of this study was to explore how individuals are exposed to antivaccine misinformation on YouTube based on whether they start their viewing from a keyword-based search or from antivaccine seed videos.

Methods
Four networks of videos based on YouTube recommendations were collected in November 2019. Two search networks were created from provaccine and antivaccine keywords to resemble goal-oriented browsing. Two seed networks were constructed from conspiracy and antivaccine expert seed videos to resemble direct navigation. Video contents and network structures were analyzed using the network exposure model.

Results
Viewers are more likely to encounter antivaccine videos through direct navigation starting from an antivaccine video than through goal-oriented browsing. In the two seed networks, provaccine videos, antivaccine videos, and videos containing health misinformation were all found to be more likely to lead to more antivaccine videos.

Conclusions
YouTube has boosted the search rankings of provaccine videos to combat the influence of antivaccine information. However, when viewers are directed to antivaccine videos on YouTube from another site, the recommendation algorithm is still likely to expose them to additional antivaccine information.
ANALISIS MODEL DINAMIS DAMPAK INFLASI TERHADAP SEKTOR PERTANIAN INDONESIA TAHUN
Authors: Nugroho Rahmat Hadi 
Published: September 2020

Agriculture sector have positive growth while national growth have been negative, and its function in GDP still significant when economic crisis occurred. For more accurated analysis, economic growth can be devide in to sectoral activities. Using macro economic theories through relationship between prices and real growth would be faced agriculture real growth through consumer’s price index, general prices in the agriculture sector within prices received and prices paid, and agriculture wage as an indicator for supply aggregate and dummy variable to vanish effect of economic crisis in the model. This study use time series data. To solve spurious regression, we use error correction model. The conclusion are: first, factors that influenced GDP of agriculture sector are long run variables of consumer’s price index, general prices in the agriculture sector within prices received and prices paid, and agriculture wage; second, inflation is faster than agriculture growth, that must be followed by fiscal and monetary policy to affect supply aggregate, to increase productivity of agriculture sector, for instance by increasing technology in to agriculture sector, and more qualified human resource with education. Or can be combined between fiscal policy and income policy, withn labor intensive program to develop agriculture project, so government expenditure and agriculture asset increases all at once.
ANALISIS KETAHANAN PANGAN DAN KEMISKINAN RUMAHTANGGA TANI DI DESA TAWANGHARJO KECAMATAN GIRIWOYO KABUPATEN WONOGIRI
Authors: Tantias Dinna Dwi , Suratiyah Ken , Hardyastuti Suhatmini 
Published: September 2020

The purpose of this study was (1) determine the performance indicators of food security which includes food availability, food accessibility, food stability and food quality. (2) determine the level of farmer household food security. (3) knowing the farmer household expenditure. The study was conducted in Tawangharjo village, Giriwoyt, WOnogiri regency. Respondents are the farmer owners, tenants and sharecroppers who tilled the land area, a total of 30 (simple ransom smapling). Consumption of Household Food Security Rate Index (IKKPRT) to determine the level of farmer household food security. Food expenditure was measured by GSR (Good Service Ratio), poverty was measured by Sajogjo, ADB, FAO, and World Bank Criterion. The results shows that farmer household have sufficient food availability and stable, but the accessibility and level of nutritional adequacy is still relatively low. IKKPRT value is81,56 in a state of sufficient food. Because the proportion of food expenditure' is greater than the non-food; it can be said to farmer household in poor condition and less prosperous.