bluuebunny/crossref_metadata_2025_split huggingface dataset:
Proteomics-Based Characterization of the Effects of MMP14 on the Protein Content of Exosomes from Corneal Fibroblasts
Authors: Han Kyu-Yeon , Chang Jin-Hong , Azar Dimitri T. 
Published: April 2020

Background:
Exosomes secreted by corneal fibroblasts contain matrix metalloproteinase
(MMP) 14, which is known to influence pro-MMP2 accumulation on exosomes. Accordingly,
we hypothesized that the enzymatic activity of MMP14 may alter the protein content of corneal fibroblast-
secreted exosomes.

Objective:
The aim of this study was to investigate the effects of MMP14 on the composition and
biological activity of corneal fibroblast-derived exosomes.

Methods:
Knock out of the catalytic domain (ΔExon4) of MMP14 in corneal fibroblasts was used
to determine the effect of MMP14 expression on the characteristics of fibroblast-secreted exosomes.
The amount of secreted proteins and their size distribution were measured using Nano
Tracking Analysis. Proteins within exosomes from wild-type (WT) and ΔExon4-deficient fibroblasts
were identified by liquid chromatography-tandem mass spectrometry (MS/MS) proteomics
analysis. The proteolytic effects of MMP14 were evaluated in vitro via MS identification
of eliminated proteins. The biological functions of MMP14-carrying exosomes were investigated
via fusion to endothelial cells and flow cytometric assays.

Results:
Exosomes isolated from WT and ΔExon4-deficient fibroblasts exhibited similar size distributions
and morphologies, although WT fibroblasts secreted a greater amount of exosomes. The
protein content, however, was higher in ΔExon4-deficient fibroblast-derived exosomes than in WT
fibroblast-derived exosomes. Proteomics analysis revealed that WT-derived exosomes included proteins
that regulated cell migration, and ΔExon4 fibroblast-derived exosomes contained additional
proteins that were cleaved by MMP14.

Conclusion:
Our findings suggest that MMP14 expression influences the protein composition of
exosomes secreted by corneal fibroblasts, and through those biological components, MMP14 in
corneal fibroblasts derived-exosomes may regulate corneal angiogenesis.
Anticancer Mechanisms of Bioactive Peptides
Authors: Soon Tsuey Ning , Chia Adeline Yoke Yin , Yap Wei Hsum , Tang Yin-Quan 
Published: April 2020

:
Despite technological advancement, there is no 100% effective treatment against metastatic
cancer. Increasing resistance of cancer cells towards chemotherapeutic drugs along with
detrimental side effects remained a concern. Thus, the urgency in developing new anticancer
agents has been raised. Anticancer peptides have been proven to display potent activity against a
wide variety of cancer cells. Several mode of actions describing their cytostatic and cytotoxic effect
on cancer cells have been proposed which involves cell surface binding leading to membranolysis
or internalization to reach their intracellular target. Understanding the mechanism of action of
these anticancer peptides is important in achieving full therapeutic success. In the present article,
we discuss the anticancer action of peptides accompanied by the mechanisms underpinning their
toxicity to cancer cells.
Biomedical Applications of Hemicellulose-Based Hydrogels
Authors: Liu Haitang , Chen Ting , Dong Cuihua , Pan Xuejun 
Published: April 2020

Background:
Hydrogel has a three-dimensional network structure that is able to absorb
a large amount of water/liquid and maintain its original structure. Hemicellulose (HC) is the second
most abundant polysaccharide after cellulose in plants and a heterogeneous polysaccharide
consisting of various saccharide units. The unique physical and chemical properties of hemicellulose
make it a promising material for hydrogels.

Methods:
This review first summarizes the three research hotspots on the hemicellulose-based
hydrogels: intelligence, biodegradability and biocompatibility. It also overviews the progress in
the fabrication and applications of hemicellulose hydrogels in the drug delivery system and tissue
engineering (articular cartilage, cell immobilization, and wound dressing).

Results:
Hemicellulose-based hydrogels have many unique properties, such as stimuliresponsibility,
biodegradability and biocompatibility. Interpenetrating networking can endow appropriate
mechanical properties to hydrogels. These properties make the hemicellulose-based hydrogels
promising materials in biomedical applications such as drug delivery systems and tissue
engineering (articular cartilage, cell immobilization, and wound dressing).

Conclusion:
Hydrogels have been widely used in biomedicine and tissue engineering areas, such
as tissue fillers, drug release agents, enzyme encapsulation, protein electrophoresis, contact lenses,
artificial plasma, artificial skin, and tissue engineering scaffold materials. This article reviews the
recent progress in the fabrication and applications of hemicellulose-based hydrogels in the biomedical
field.
Dynamic Change of Neutrophil to Lymphocyte Ratios and Infection in Patients with Acute Ischemic Stroke
Authors: Wang Lu , Guo Wen , Wang Changyi , Yang Xue , Hao Zilong , Wu Simiao , Zhang Shihong , Wu Bo , Liu Ming 
Published: April 2020

Background:
Neutrophil to lymphocyte ratio (NLR) on admission was reported to be a
predictor of pneumonia after stroke. The aim of this study was to investigate the association between
the temporal change of NLR and post-stroke infection and whether infection modified the
effect of NLR on the outcome.

Methods:
We enrolled patients with acute ischemic stroke within 24 h after onset. The blood was
collected on admission, day 1, 3, 7 after admission to detect white blood cells (WBC), neutrophils,
and lymphocytes. Primary outcomes included pneumonia, urinary tract infection (UTI), other infection,
and the secondary outcome was 3-month death.

Results:
Of 798 stroke patients, 299 (37.66%) developed infection with 240 (30.23%) pneumonia,
78 (9.82%) UTI, and 9 (1.13%) other infection. The median time of infection occurrence was 48 h
(interquartile range 27-74 h) after onset. NLR reached to the peak at 36 h. For all outcomes, NLR
at 36 h after stroke had the highest predictive value than WBC, neutrophil, lymphocyte. NLR was
independently associated with the presence of any infection (odds ratio [OR] 1.11, 95% confidence
interval [CI] 1.05-1.17), pneumonia (OR 1.12, 95%CI 1.05-1.19), but not UTI (OR 0.95, 95%CI
0.89-1.01). Adding infection or the interaction term did not substantially change the OR of NLR
predicting 3-month death (OR 1.09, 95%CI 1.01, 1.17).

Conclusion:
Increased NLR around 36 h after stroke was a predictor of infection in patients with
acute ischemic stroke. The increased NLR value was associated with a higher risk of 3-month
death, which was independent of poststroke infection.
In Silico Discovery of Novel Flavonoids as Poly ADP Ribose Polymerase (PARP) Inhibitors
Authors: Shah Ashish , Parmar Ghanshyam , Seth Avinash Kumar 
Published: April 2020

Background:
The concept of synthetic lethality is an emerging field in the treatment of
cancer and can be applied for new drug development of cancer as already been represented by Poly
(ADP-ribose) polymerase (PARPs) inhibitors.

Objectives:
In this study, we performed virtual screening of 329 flavonoids obtained from the Naturally
Occurring Plant-based Anti-cancer Compound-Activity-Target (NPACT) database to identify
novel PARP inhibitors.

Materials and Methods:
Virtual screening carried out using different in silico methods which include
molecular docking studies, prediction of drug-likeness and in silico toxicity studies.

Results:
Fifteen out of 329 flavonoids achieved better docking score as compared to rucaparib
which is an FDA approved PARP inhibitor. These 15 hits were again rescored using accurate
docking mode and drug-likeliness properties were evaluated. The accuracy of the docking method
was checked using re-docking. Finally NPACT00183 and NPACT00280 were identified as
potential PARP inhibitors with docking score of -139.237 and -129.36, respectively. These two
flavonoids also showed no AMES toxicity and no carcinogenicity which was predicted using
admetSAR.

Conclusion:
Our finding suggests that NPACT00183 and NPACT00280 have promising potential
to be further explored as PARP inhibitors.
Bio-Analytical Method Development and Validation for Estimation of Zaltoprofen in Human Plasma by Reverse Phase -HPLC Method
Authors: Erukulla Kishor Kumar , Renjitham Suseem Sundaram 
Published: April 2020

Objective:
A particular, easy and precise reverse phase liquid chromatographic technique was developed for the
determination of Zaltoprofen in human plasma.

Methods:
The ODS C18 (250mm x 4.6mm, 5µm) column was
utilized for determination. The mobile phase contains buffer and acetonitrile (55:45 v/v). The rate of flow was 1.0
ml/min. The volume of sample infused was 10 µl. The column has been kept at a temperature of ~300C. The column
was equilibrated for no less than 30 min prior to injection of the solutions. The detection wavelength was set at of
331 nm.

Results:
The linearity experiment was performed for Zaltoprofen in the range of 0.15 to 20 µg/ml. The
observed recovery of Zaltoprofen was 98.32 %.

Conclusion:
The suggested technique has been validated and the
same is very helpful for zaltoprofen determination in human plasma.
A Label-free Electrochemical Immunosensor for Highly Sensitive Detection of TNF α, Based on Star Polymer-modified disposable ITO Electrode
Authors: Aydin Elif Burcu , Aydin Muhammet , Sezgintürk Mustafa Kemal 
Published: April 2020

Background:
Biomarkers are very important disease-related biomolecules which should be
analyzed sensitive and selective in related physiological fluids or tissues. Tumor necrosis factor-α is a
type of cytokine which plays vitlly important roles in different methabolic pathways such as cell death,
survival, differentiation, proliferation and migration, and infectious and inflammatory diseases including
rheumatoid arthritis, diabetes.

Objective:
In this study, it was aimed to develop a reliable tool based on star-shaped poly(glycidyl
methacrylate) polymer coated disposable indium tin oxide electrode for determination of Tumor necrosis
factor-α, an important disease biomarker.

Methods:
Star shaped polymer was used as an interface material for anti- Tumor necrosis factor α antibodies
immobilization. The antibodies were immobilized covalently onto polymer coated indium tin
oxide electrode. Electrochemical impedance spectroscopy and cyclic voltammetry techniques were
used for all electrochemical measurements.

Results:
The suggested immunosensor exhibited a linear range between 0.02 and 4 pg/mL Tumor necrosis
factor-α, and the detection limit was found as 6 fg/mL. Scanning electron microscopy and atomic
force microscopy were used for electrode surface characterization. In addition, the suggested immunosensor
was used for Tumor necrosis factor-α sensing in human serum samples. The results displayed
recoveries between 97.07 and 100.19%. Moreover, this immunosensor had a simple fabrication
procedure and a long storage-stability.

Conclusion:
A new biosensor based on a Star shaped polymer for the ultra sensitive determination of a
biomarker Tumor necrosis factor-α was developed. The biosensor presented excellent repeatability and
reproducubility, and also wide calibration range for Tumor necrosis factor- α.
Quality Evaluation of the Tugaksheeree Samples by ATR-FTIR Spectroscopy Using Multicomponent Analysis
Authors: Patel Nikunj D. , Kanaki Niranjan S. 
Published: April 2020

Background:
Numerous Ayurvedic formulations contain tugaksheeree as a key ingredient.
Tugaksheeree is the starch gained from the rhizomes of two plants, Curcuma angustifolia Roxb.
(Zingiberaceae) and Marantaarundinacea (MA) Linn. (Marantaceae).

Objective:
The primary concerns in quality assessment of Tugaksheeree occur due to adulteration or
substitution.

Method:
In the current study, Fourier Transform Infrared (FTIR) technique with Attenuated Total
Reflectance (ATR) facility was used to evaluate the tugaksheeree samples. A total of 10 different
samples were studied and transmittance mode was kept to record the spectra devoid of the pellets of
KBR. Further treatment was given with multi-component tools by considering the fingerprint region
of the spectra. Multivariate analysis was performed by various chemometric methods.

Result:
Multi-component methods, like Principal Component Analysis (PCA) and Hierarchical
Cluster Analysis (HCA), were used to discriminate the tugaksheeree samples using Minitab software.

Conclusion:
This method can be used as a tool to differentiate samples of tugaksheeree from its adulterants
and substitutes.
Social Media Use in College-age Youth: A Comprehensive Review and a Call to Action
Authors: Holmes Hilary , Lara Alba E. , Brown Gregory S. 
Published: April 2020

Background:
Social media is a relatively new and impactful way to connect
millions of people around the world. The intersection of mental health and social media is
a poorly studied, yet important area of research. Specifically, with regard to college-aged
youth, social media can potentially offer an educational tool to enhance mental health
awareness or augment treatment when it is used for professional purposes by mental health
advocates or healthcare professionals. There is also the added risk of disinformation,
cyberbullying, and privacy breaches.

Objective:
This review aims to assess the current state of social media use and its influence
on mental health, especially in college-age youth.

Methods:
The authors of this paper utilized PubMed and Medline databases to review the
most recent experimental studies and literature reviews available on the topic of mental
health and social media.

Results:
Abstracts and relevant papers were read in full, and information from these studies
was cited accordingly.

Conclusion:
The authors conclude that although more research needs to be conducted, social
media may offer benefits for mental health awareness, education, and treatment, specifically
in populations such as college-age youth.
Mobile Phone Technologies in the Management of Ischemic Heart Disease, Heart Failure, and Hypertension: Systematic Review and Meta-Analysis
Authors: Indraratna Praveen , Tardo Daniel , Yu Jennifer , Delbaere Kim , Brodie Matthew , Lovell Nigel , Ooi Sze-Yuan 
Published: April 2020

Background
Cardiovascular disease (CVD) remains the leading cause of death worldwide. Mobile phones have become ubiquitous in most developed societies. Smartphone apps, telemonitoring, and clinician-driven SMS allow for novel opportunities and methods in managing chronic CVD, such as ischemic heart disease, heart failure, and hypertension, and in the conduct and support of cardiac rehabilitation.

Objective
A systematic review was conducted using seven electronic databases, identifying all relevant randomized control trials (RCTs) featuring a mobile phone intervention (MPI) used in the management of chronic CVD. Outcomes assessed included mortality, hospitalizations, blood pressure (BP), and BMI.

Methods
Electronic data searches were performed using seven databases from January 2000 to June 2019. Relevant articles were reviewed and analyzed. Meta-analysis was performed using standard techniques. The odds ratio (OR) was used as a summary statistic for dichotomous variables. A random effect model was used.

Results
A total of 26 RCTs including 6713 patients were identified and are described in this review, and 12 RCTs were included in the meta-analysis. In patients with heart failure, MPIs were associated with a significantly lower rate of hospitalizations (244/792, 30.8% vs 287/803, 35.7%; n=1595; OR 0.77, 95% CI 0.62 to 0.97; P=.03; I2=0%). In patients with hypertension, patients exposed to MPIs had a significantly lower systolic BP (mean difference 4.3 mm Hg; 95% CI −7.8 to −0.78 mm Hg; n=2023; P=.02).

Conclusions
The available data suggest that MPIs may have a role as a valuable adjunct in the management of chronic CVD.
Rethinking Social Interaction: Empirical Model Development
Authors: Bjornestad Jone , Moltu Christian , Veseth Marius , Tjora Tore 
Published: April 2020

Background
Social media is an integral part of human social life. More than 90% of young people use social media daily. Current theories, models, and measures are primarily based on face-to-face conceptions, leaving research out of sync with current social trends. This may lead to imprecise diagnoses and predictions.

Objective
To develop a theoretically based empirical model of current social interfaces to inform relevant measures.

Methods
A three-stage, qualitative, data-collection approach included anonymous individual Post-it notes, three full-class discussions, and 10 focus groups to explore 82 adolescents’ relational practices. Data analysis followed a meaning-condensation procedure and a field-correspondence technique.

Results
We developed an empirical model that categorizes adolescents’ social interactions into five experiential positions. Four positions result from trajectories relating to social media and face-to-face social interaction. Positions are described by match or mismatch dynamics between preferred and actual social platforms used. In matched positions, individuals prefer and use both face-to-face and social media platforms (position 1), prefer and use face-to-face platforms (position 2), or prefer and use social media platforms (position 3). In mismatched positions, individuals prefer face-to-face interactions but use social media platforms (position 4) or prefer social media but use face-to-face platforms (position 5). We propose that matched positions indicate good social functioning while mismatched positions indicate serious social challenges.

Conclusions
We propose a model that will expand previous unidimensional social interaction constructs, and we hypothesize that the described match and mismatch analyses provide conceptual clarity for research and practical application. We discuss prediction value, implications, and model validation procedures.
ROBUST RECURSIVE IDENTIFICATION OF HAMMERSTEIN MODELS BASED ON WEISZFALD ALGORITHM
Authors: Filipović Vojislav 
Published: April 2020

The Hammerstein models can accurately describe a wide variety of nonlinear systems (chemical process, power electronics, electrical drives, sticky control valves). Algorithms of identification depend, among other, on the assumption about the nature of stochastic disturbance. Practical research shows that disturbances, owing the presence of outliers, have a non-Gaussian distribution. In such case it is a common practice to use the robust statistics. In the paper, by analysis of the least favourable probability density, it is shown that the robust (Huber`s) estimation criterion can be presented as a sum of non-overlapping - norm and - norm criteria. By using a Weiszfald algorithm - norm criterion is converted to - norm criterion. So, the weighted - norm criterion is obtained for the identification. The main contributions of the paper are: (i) Presentation of the Huber`s criterion as a sum of - norm and - norm criteria; (ii) Using the Weiszfald algorithm – norm criterion is converted to a weighted - norm criterion; (iii) Weighted extended least squares in which robustness is included through weighting coefficients are derived for NARMAX (nonlinear autoregressive moving average with exogenous variable) . The illustration of the behaviour of the proposed algorithm is presented through simulations.
Corporate Social Responsibility and the Market Reaction to Negative Events: Evidence from Inadvertent and Fraudulent Restatement Announcements
Authors: Bartov Eli , Marra Antonio , Momenté Francesco 
Published: April 2020

ABSTRACT
We advance a theory asserting that CSR performance may exacerbate, not necessarily moderate, a company's negative stock price response to negative events. In testing this theory, we hypothesize and find that CSR performance alleviates (magnifies) the immediate negative stock price response to inadvertent (fraudulent) restatement announcements, and that these findings are robust to specifications that consider alternative CSR measures and a multitude of control variables shown by prior research to have explanatory power for the cross-sectional variation in stock returns. Overall, using restatement announcements as a channel through which CSR performance may affect company value, we show, in contrast to prior research, that depending on management conduct leading to the restatement, a company's CSR performance may destroy, not necessarily enhance, firm value. Our findings may, thus, inform researchers, market participants, and regulators.
Data Availability: The data used in this study are publicly available from sources indicated in the text.
Analisis Kepuasan Pelanggan dengan Metode Servqual dan Pendekatan Structural Equation Modelling (SEM) pada Perusahaan Jasa Pengiriman Barang di Wilayah Kota Pekanbaru
Authors: Lubis Fitriani Surayya , Rahima Annisa Putri , Umam Muhammad Isnaini Hadiyul , Rizki Muhammad 
Published: April 2020

Kualitas pelayanan pada umumnya akan selalu mendapat perhatian besar dari perusahaan penyedia layanan/ jasa sebab mempunyai hubungan langsung dengan kemampuan bersaing dan tingkat keuntungan perusahaan. Pada penelitian ini akan dibahas kualiatas pelayanan jasa pada perusahaan ekspedisi wilayah Kota Pekanbaru yang bergerak di bidang pengiriman barang/ paket dengan tujuan wilayah Pekanbaru, Provinsi Riau, dan Kota-Kota Besar di Indonesia. Penelitian ini masih berupa usulan penggunaan metode/ pendekatan pengukuran kualitas pelayanan dengan tujuan yang diharapkan adalah untuk mendapatkan kriteria faktor prioritas utama kualitas pelayanan serta kesesuaian antara harapan konsumen terhadap kualitas layanan yang ada. Faktor-faktor kualitas pelayanan dalam hal ini terdiri dari Tangible, Reliability, Responsiveness, Assurance, dan Empathy. Metode Service Quality (SERVQUAL) dan Structural Equation Modelling (SEM) diusulkan untuk menganalisis faktor-faktor tersebut. Metode SERVQUAL akan membangun model kualitas jasa melalui pengukuran perbedaan antara harapan konsumen mengenai kinerja (pelayanan) dari perusahaan dan penilaian konsumen mengenai kinerja aktual pada kelima faktor kualitas pelayanan. Sementara itu, analisis dengan metode SEM menggunakan model pengukuran Confirmatory Factor Analysis (CFA) dan Multiple Regression Analysis dilakukan untuk mengetahui apakah ada hubungan yang signifikan antara faktor kriteria kepuasan pelanggan terhadap kinerja (pelayanan) perusahaan.
Loyalty of Green Tourist : Mediating Role of Satisfaction
Authors: Yuniati Nining , Priyanto Sony Heru , Suharti Lieli , Kusuma Linda 
Published: April 2020

The paper aims to test a research model of the mediating role of satisfaction in creating loyalty of green tourists. The importance of loyalty refers to a number of unique characteristics of green tourists such as being associated with the middle class, high spenders, staying longer than common tourists, high involvement, and tolerance. By using SEM a mediation test was carried out related to the position of customer satisfaction (GCS) in mediating its decision to buy in an environmentally friendly hotel (GP) and its loyalty (GCL). In short, to get loyal customers, services must be created in order to encourage customer satisfaction.
Keywords: green hotel, green tourist, loyalty, purchasing, satisfaction