bluuebunny/crossref_metadata_2025_split huggingface dataset:
Physical Analysis of Heat for Formation and Entropy of Ceria Oxide Using
Topological Indices
Authors: Zhang Xiujun , Siddiqui Muhammad Kamran , Javed Sana , Sherin Lubna , Kausar Farah , Muhammad Mehwish Hussain 
Published: October 2020

Background::
“Cerium oxide nanoparticles (

Aim and Objective::
The study“was aimed to analyze the chemical graph of crystal structure of Ceria Oxide(cuprite)

Materials and Methods::
Chemical“graph theory plays an important role in modeling and designing any chemical structure. The topological
indices are the numerical invariants of a molecular graph and are very useful for predicting their physical properties. For calculation, we
have utilized the combinatorial processing strategy, edge partition technique, vertex partition strategy, analytic procedures, graph
hypothetical tools, degree counting technique and entirety of degrees of neighbors technique. Moreover, Matlab programming have been
utilized for the numerical computations and checks. We likewise utilized the maple for plotting these numerical outcomes.”

Results::
We have“computed Heat of Formation and Entropy using degree based topological indices. More oreciously, our main results are
based on some degree based topological indices, namely, the atom bond connectivity index

Conclusion::
We discuss“these indices exhibited difference with the reported heat of formation and entropy of cuprite
Oral Administration of Aloe vera Ameliorates Wound Healing through Improved Angiogenesis and chemotaxis in Sprague Dawley Rats
Authors: Ali Fatima , Wajid Nadia , Sarwar Maryam G. , Qazi Aamer M. 
Published: October 2020

Background::
Aloe vera has been reported as a topical antibiotic and healing agent for
wounds, but advantages of oral administration and mechanisms of wound healing have not been reported.
Present study focuses on the evaluation of effects of oral administration of Aloe vera for excisional
cutaneous wounds in Sprague Dawley rats.

Methods::
Sprague Dawley (SD) rats were inflicted with excisional wounds and were either treated
with Aloe vera orally (Aloe vera) or kept untreated (wound). In contrast, healthy rats were kept as control
group. Wound area was measured from day 7th to day 21st. Collagen content was estimated by hydroxyproline
assay. Histology was analysed by hematoxylin and eosin staining. Angiogenesis was observed
by indirect ELISA for Insulin like Growth Factor (IGF-1) and Vascular Endothelial Growth
Factor (VEGF) protein from skin, serum and bone marrow. Chemotaxis was evaluated by RT-PCR
analysis for Stromal cell-Derived Factor-1 (SDF-1) and C-X-C chemokine receptor type 4 (CXCR-4)
from skin and bone marrow.

Results::
Aloe vera healed wounds earlier than untreated rats with gradual improvement in wound areas
and collagen content. Aloe vera also improved the expression of IGF-1 and VEGF in skin and bone
marrow indicating an improvement in angiogenesis. RT- PCR analysis showed increased expression of
genes for chemotaxis (SDF-1 and CXCR-4) in skin and bone marrow.

Conclusion:
Aloe vera improves healing by increasing collagen content, improving angiogenesis and
chemotaxis.
One Pot Synthesis and Pharmacological Evaluation of Aryl Substituted Imidazoles as Potential Atypical Antipsychotics
Authors: Singh Arshjyoti , Bali Alka , Kumari Pooja 
Published: October 2020

Background:
Second generation or “atypical” antipsychotics demonstrate an improved
therapeutic profile over conventional neuroleptics. These are effective in both positive and negative
symptoms of the disease and have a lower propensity to induce adverse symptoms.

Objective:
The main objective of the research was in silico design and synthesis of potential atypical
antipsychotics with combined antiserotonergic / antidopaminergic effect.

Methods:
A one pot synthesis of aryl substituted imidazole derivatives was carried out in green
solvent PEG-400 and the prepared compounds were evaluated for atypical antipsychotic activity in
animal models for dopaminergic and serotonergic antagonism. The compounds were designed
based on their 3D similarity studies to standard drugs and in silico (docking studies) with respect to
5-HT2A and D2 receptors.

Results:
Results from the docking studies with respect to 5-HT2A and D2 receptors suggested a potential
atypical antipsychotic profile for the test compounds. Theoretical ADME profiling of the
compounds based on selected physicochemical parameters suggested an excellent compliance with
Lipinski’s rules. The potential of these compounds to penetrate the blood brain barrier (log BB) was
computed through an online software program and the values obtained for the compounds suggested
a good potential for brain permeation. Reversal of apomorphine induced mesh climbing behaviour
coupled with inactivity in the stereotypy assay indicates antidopaminergic effect and a potential
atypical profile for the test compounds 1-5. Further, the activity of compounds in DOI assay
indicated a 5-HT2 antagonistic profile (5-HT2 antagonism).

Conclusion:
Compound 5 emerged as important lead compound showing combined antidopaminergic
and antiserotonergic (5-HT2A) activity with a potential atypical antipsychotic profile.
VNTR Variant of the eNOS Gene and its Relationship with Osteoporosis in Postmenopausal Turkish Women
Authors: Nursal Ayse F. , Yigit Serbulent , Tekcan Akin , Ozsoy Asker Z. , Ates Haci O. 
Published: October 2020

Background:
Osteoporosis (OP) is the most common type of systemic bone disease
characterized by low bone mass and micro-structure deterioration of bone tissue, with a consequent
increase in bone fragility and fracture risk. Nitric oxide (NO), produced by the enzyme endothelial
nitric oxide synthase (eNOS) in endothelial cells, has considerable effects on bone cell function.
The objective of this case-control study was to investigate the potential association between the
eNOS gene Variable Number Tandem Repeat (VNTR) variant and susceptibility of OP, in Turkish
postmenopausal female patients.

Methods:
One hundred and fifty female patients and 100 age-matched healthy females were enrolled
in the present study. The eNOS gene VNTR variant was genotyped with a polymerase chain
reaction (PCR) method. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess
the strength of the association.

Results:
The mean age of the patients was 60.32±8.65 years. It was found that the eNOS VNTR
variant genotype and allele frequencies were not significantly different between the patient and control
groups (p>0.05).
MicroRNA Expression Levels in Patients with Hashimoto Thyroiditis: A Single Centre Study
Authors: Yilmaz Hale O. , Cebi Alper H. , Kocak Mustafa , Ersoz Halil O. , Ikbal Mevlit 
Published: October 2020

Objective:
To determine the circulatory miRNA expression levels in patients with Hashimoto
thyroiditis (HT) at the time of diagnosis and follow-up period compared with healthy controls.

Methods:
We collected blood samples from 34 patients with HT (4 males and 30 females) at the
time of first diagnosis (Group P) and euthyroid period (Group E). Thirty-three healthy controls
(Group H) blood samples were also included in the study. Expression levels of five different circulating
miRNAs (miR-22, miR-141, miR-155, miR-375, miR-451) were evaluated using real-time
polymerase chain reaction.

Results:
There was a significant difference in miR-375 levels between the groups P and H. Also,
for miR-451, there was a significant difference between the P and E groups. Finally, there was a
moderate positive correlation between thyroid-stimulating hormone values and miR-22 expression
levels for the P group.

Conclusion:
miRNAs have important roles at all stages of the diseases. More studies must be performed
in all thyroid diseases and autoimmune diseases, including HT.
Automating Duplicate Detection for Lexical Heterogeneous Web Databases
Authors: Ahlawat Anil , Sagar Kalpna 
Published: October 2020

Introduction:
The need for efficient search engines has been identified with the everincreasing
technological advancement and huge growing demand for data on the web.

Method:
Automating duplicate detection over a query results in identifying the records from multiple
web databases that point to a similar real-world entity and return non-matching records to the
end-users. The proposed algorithm in this paper is based on an unsupervised approach with classifiers
over heterogeneous web databases that return more accurate results with high precision, Fmeasure,
and recall. Different assessments have also been executed to analyze the efficacy of the
proposed algorithm for the identification of duplicates.

Result:
Results show that the proposed algorithm has greater precision, F-score measure, and the
same recall values as compared to standard UDD.

Conclusion:
This paper aims to introduce an algorithm that automates the process of duplicate detection
for lexical heterogeneous web databases.

Discussion:
This paper concludes that the proposed algorithm outperforms the standard UDD.
Fast and Efficient Data Masking Method for Securing Image Over Cloud Computing Environment
Authors: Siddartha B.K. , Ravikumar G.K. 
Published: October 2020

Objective:
Preserving the confidentiality of sensitive information is becoming more and
more difficult and challenging, considering current scenarios, as a huge amount of multimedia data
are stored and communicated over the internet among users and cloud computing environment. The
existing cryptography security model for storing images on a cloud platform cannot resist various
kinds of modern attacks, such as statistical, differential, brute force, cropping attack, etc., therefore,
an improved bit scrambling technique using chaotic maps that can resist various kinds of security
attacks is needed. The FEDM cipher image provides less correlation among neighboring pixels and
images can be decrypted even under the presence of noise. This study proposed a FEDM model to
achieve better UACI, NPCR, histogram, runtime, and processing time performance than the existing
image security methods.

Methods:
Preserving the confidentiality of sensitive information is becoming more and more difficult
and challenging considering current scenarios as a huge amount of multimedia data are stored
and communicated over the internet among users and cloud computing environment. The existing
cryptography security model for storing images on a cloud platform cannot resist various kinds of
modern attacks such as statistical, differential, brute force, cropping attack, etc.

Results:
The overall results show that the proposed FEDM model attains much superior performance
considering histogram, UACI, NPCR, and runtime. The FEDM model can resist against SA. The
FEDM model attains better performance because IBS is used in each step of CS. Thus, a correlation
between adjacent pixels is less and aids superior security performance. Further, the FEDM model
attains better UACI and NPCR performance when compared with the exiting image encryption model.

Conclusion:
The FEDM security method can resist DA, noise, cropping attack, and linear attacks
more efficiently due to a larger keyspace. Further, the FEDM takes less time for provisioning security.
Along with this, FEDM works smoothly under a cloud computing environment. No prior work
has considered runtime performance evaluation under the cloud computing environment. FEDM
model will significantly aid in reducing the overall operational cost of a cloud computing environment
with a reduction in processing time as cloud charge is based on hours of usage.
Detecting and combating fake news on web 2.0 technology in the 2019 political season Indonesia
Authors: Anderson Samuel , Sulistyani Hapsari Dwiningtyas 
Published: October 2020

The digital age has come with lots of misinformation on the internet (web 2.0). The difference between real and fake news is unclear. This paper therefore scientifically employs algorithms and the evolution tree to help in the detection of fake news. Social bots in the spread of fake news are also detected by BotOrNot. The research employs an in-depth qualitative but informal interview with 102 participants who are internet and social media-active as well as prospective Indonesian electorates to investigate the spread and believe in fake news. The result indicates that about 91 of the informants experience the spread of fake news on daily basis, out of which 67 succumb to the truthfulness of the news. This article therefore develops a trend of battling fake news with the application of the Inoculation theory and citizen journalism as tools to eradicate fake news that may emerge before and during the 2019 election. ‘Ohmynews’ and ‘ABC blogs’ in the South Korean 2002 general elections and the Australian 2007 Federal elections respectively will be used as models of citizen journalism to deal with fake news that may trend on the Web 2.0 (where social media application are enabled) in the 2019 Indonesian polls.
User Experiences of a Smartphone-Based Attentive Eating App and Their Association With Diet and Weight Loss Outcomes: Thematic and Exploratory Analyses From a Randomized Controlled Trial
Authors: Whitelock Victoria , Kersbergen Inge , Higgs Suzanne , Aveyard Paul , Halford Jason CG , Robinson Eric 
Published: October 2020

Background
Short-term laboratory studies suggest that eating attentively can reduce food intake. However, in a recent randomized controlled trial we found no evidence that using an attentive eating smartphone app outside of the laboratory had an effect on energy intake or weight loss over 8 weeks.

Objective
This research examined trial participants’ experiences of using an attentive eating smartphone app and whether app usage was associated with energy intake and weight loss outcomes over 8 weeks.

Methods
We conducted thematic analysis of semistructured interviews (N=38) among participants in the attentive eating smartphone app group of the trial who completed the 8-week assessment. Linear regression models examined the associations between energy intake and weight loss outcomes at 8 weeks and app usage.

Results
Participants reported several barriers and facilitators to using the smartphone app, including repetition of app content, social setting, motivation, and habitual use of the app. Participants believed that using the app had some beneficial effects on their eating behavior and diet. Exploratory analyses indicated that more frequent recording of eating episodes in the app was associated with lower body weight (B=–0.02, P=.004) and greater self-reported energy intake (B=5.98, P=.01) at 8 weeks, but not body fat percentage or taste-test energy intake. Total audio clip plays, gallery views, and percentage of food entries recorded using an image were not significantly associated with energy intake or weight.

Conclusions
Frequent recording of eating episodes in a smartphone app was associated with greater weight loss. There are barriers and facilitators to frequent use of an attentive eating smartphone app that may be useful to address when designing dietary behavior change smartphone apps.

Trial Registration
ClinicalTrials.gov NCT03602001; https://clinicaltrials.gov/ct2/show/NCT03602001; Open Science Framework DOI 10.17605/osf.io/btzhw; https://osf.io/btzhw/
Phenotypically Similar Rare Disease Identification from an Integrative Knowledge Graph for Data Harmonization: Preliminary Study
Authors: Zhu Qian , Nguyen Dac-Trung , Alyea Gioconda , Hanson Karen , Sid Eric , Pariser Anne 
Published: October 2020

Background
Although many efforts have been made to develop comprehensive disease resources that capture rare disease information for the purpose of clinical decision making and education, there is no standardized protocol for defining and harmonizing rare diseases across multiple resources. This introduces data redundancy and inconsistency that may ultimately increase confusion and difficulty for the wide use of these resources. To overcome such encumbrances, we report our preliminary study to identify phenotypical similarity among genetic and rare diseases (GARD) that are presenting similar clinical manifestations, and support further data harmonization.

Objective
To support rare disease data harmonization, we aim to systematically identify phenotypically similar GARD diseases from a disease-oriented integrative knowledge graph and determine their similarity types.

Methods
We identified phenotypically similar GARD diseases programmatically with 2 methods: (1) We measured disease similarity by comparing disease mappings between GARD and other rare disease resources, incorporating manual assessment; 2) we derived clinical manifestations presenting among sibling diseases from disease classifications and prioritized the identified similar diseases based on their phenotypes and genotypes.

Results
For disease similarity comparison, approximately 87% (341/392) identified, phenotypically similar disease pairs were validated; 80% (271/392) of these disease pairs were accurately identified as phenotypically similar based on similarity score. The evaluation result shows a high precision (94%) and a satisfactory quality (86% F measure). By deriving phenotypical similarity from Monarch Disease Ontology (MONDO) and Orphanet disease classification trees, we identified a total of 360 disease pairs with at least 1 shared clinical phenotype and gene, which were applied for prioritizing clinical relevance. A total of 662 phenotypically similar disease pairs were identified and will be applied for GARD data harmonization.

Conclusions
We successfully identified phenotypically similar rare diseases among the GARD diseases via 2 approaches, disease mapping comparison and phenotypical similarity derivation from disease classification systems. The results will not only direct GARD data harmonization in expanding translational science research but will also accelerate data transparency and consistency across different disease resources and terminologies, helping to build a robust and up-to-date knowledge resource on rare diseases.
Plausibility of Using a Checklist With YouTube to Facilitate the Discovery of Acute Low Back Pain Self-Management Content: Exploratory Study
Authors: Zheluk Andrey , Maddock Jess 
Published: October 2020

Background
Access to guideline-consistent effective care for acute low back pain (ALBP) is generally regarded as limited. Researchers have recognized the potential of YouTube as a clinical and patient education resource that may improve access to appropriate care. However, the heterogeneity of evaluation approaches and variable quality of health information have generally limited the potential of YouTube as a self-management intervention.

Objective
This study aims to increase the understanding of ALBP content available on YouTube in 2020 and to establish the plausibility of using a simple checklist to facilitate the discovery of YouTube content consistent with current guidelines. We examined the following 4 research questions: how was the data set defined, what are the metadata characteristics of the videos in the data set, what is the information quality of ALBP YouTube videos, and what are the characteristics of the YouTube data set based on an ALBP self-management checklist?

Methods
This was an exploratory, qualitative infodemiology study. We identified videos in our data set through YouTube search based on popular ALBP-relevant search terms identified through Google Trends for YouTube. We accessed YouTube metadata using the YouTube data tools developed by the University of Amsterdam. We used a modified Brief DISCERN checklist to examine the information quality. We developed a checklist based on the 2018 Lancet Low Back Pain guidelines to examine self-management content.

Results
We analyzed a data set of 202 YouTube videos authored by chiropractors, physicians, physiotherapists, and instructors of yoga and other disciplines. We identified clear differences in the ALBP videos in our data set based on the authors’ disciplines. We found that the videos authored by each discipline strongly featured a specific intervention domain, that is, education, treatment, or exercise. We also found that videos authored by physicians were consistently coded with the highest ALBP self-management content scores than all other disciplines.

Conclusions
The results returned by YouTube in response to a search for back pain–related content were highly variable. We suggest that a simple checklist may facilitate the discovery of guideline-concordant ALBP self-management content on YouTube. Further research may identify the clinical contexts in which the use of an ALBP checklist with YouTube is feasible.
Cross-Fictional Quantification in the Artifactual Theory of Fiction
Authors: Fontaine Matthieu 
Published: October 2020

It is acknowledged by proponents of the Artifactual Theory of Fiction that literary works sometimes involve real or immigrant characters. However, their conception of cross-fictional identity faces serious difficulties. In this paper, we set the problem in the context of a modal framework, in relation to quantification across a plurality of possible worlds. Quantification is explained in terms of Hintikka’s notion of world lines; i.e. the possible values of bound variables are individuals that are not reduced to their manifestations. We finally offer another understanding of identity across weakly impermeable domains, in a way compatible with the Artifactual Theory of Fiction.
Sometimes Some Things Don’t (Really) Exist: Pragmatic Meinongism and the Referential Sub-Problem of Negative Existentials
Authors: Clapp Lenny 
Published: October 2020

To solve the referential sub-problem of negative existentials one must explain why we interpret uses of, e.g., ‘Sherlock Holmes doesn’t exist’ as saying something coherent and intuitively true, even though the speaker purports to refer to something. Pragmatic Meinongism solves this problem by allowing ‘does not exist’ to be pragmatically modulated to express an inclusive sense under which it can be satisfied by something. I establish three points in defense of pragmatic Meinongism: (i) it is superior to Russell-inspired solutions; (ii) it is supported by independent evidence of pragmatic modulation; and (iii) it requires no dubious ontological commitments.
Las Empresas Asociadas y el Efecto Fiscal en las Utilidades de Empresas de Exportacion: Caso de Sonora, México
Authors: Olivares Amado , Ochoa Josefina , Guereña José María 
Published: October 2020

Se pretende realizar esta investigación con la finalidad de analizar y evaluar la actividad de las empresas exportadoras de Sonora, México con empresas asociadas e independientes las implicaciones fiscales en las utilidades, en los precios de transferencia y el marco legal de la Ley del Impuesto Sobre la Renta (LISR) establecida en la Secretaria de Hacienda y Crédito Público en México, para asegurar la imposición de impuestos apropiada y evita los problemas de doble tributación con otros países, y minimizar los problemas entre los fiscos de los países, además de buscar ser promotor de los acuerdos internacionales y la inversión.La investigación es de tipo descriptiva y de diseño transversal, realizada durante el 2015, se aplicó estadística paramétrica con el paquete SPSS, versión 21 y se utilizó el directorio de PROMEXICO o Banco Nacional de Comercio Exterior y se aplicó un muestreo aleatorio simple se determinó una muestra de 30 empresas, y se encontró que todas las empresas aplican el método de precios sombra o transferencia, y así se evita la distorsión en el pago de impuestos y latransferencia de utilidades a otros países. El 60 % de las empresas analizadas realizan operaciones con empresas asociadas y un 40% con empresas independientes. Las variables precios sombra o de transferencia, importación de materia prima y pago por regalías y dividendos explican en un 79%, 67.2%, y 56.7% respectivamente, la determinación de los ingresos netos, mientras que el pago de intereses, y el uso de marca solo en un 27% y 11.4%.