bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Drug Decision Support System for Developing a Successful Drug Candidate Using Machine Learning Techniques
Authors: Onay Aytun , Onay Melih 
Published: July 2019

Background:Virtual screening of candidate drug molecules using machine learning techniques plays a key role in pharmaceutical industry to design and discovery of new drugs. Computational classification methods can determine drug types according to the disease groups and distinguish approved drugs from withdrawn ones.Introduction:Classification models developed in this study can be used as a simple filter in drug modelling to eliminate potentially inappropriate molecules in the early stages. In this work, we developed a Drug Decision Support System (DDSS) to classify each drug candidate molecule as potentially drug or non-drug and to predict its disease group.Methods:Molecular descriptors were identified for the determination of a number of rules in drug molecules. They were derived using ADRIANA.Code program and Lipinski's rule of five. We used Artificial Neural Network (ANN) to classify drug molecules correctly according to the types of diseases. Closed frequent molecular structures in the form of subgraph fragments were also obtained with Gaston algorithm included in ParMol Package to find common molecular fragments for withdrawn drugs.Results:We observed that TPSA, XlogP Natoms, HDon_O and TPSA are the most distinctive features in the pool of the molecular descriptors and evaluated the performances of classifiers on all datasets and found that classification accuracies are very high on all the datasets. Neural network models achieved 84.6% and 83.3% accuracies on test sets including cardiac therapy, anti-epileptics and anti-parkinson drugs with approved and withdrawn drugs for drug classification problems.Conclusion:The experimental evaluation shows that the system is promising at determination of potential drug molecules to classify drug molecules correctly according to the types of diseases.
Catalytic Dimerization of Bio-Based 5-methylfurfuryl Alcohol to Bis(5-methylfuran-2-yl) Methane with a Solid Acidic Nanohybrid
Authors: Jin Duo , Fang Chengjiang , Li Yuanzhong , Shi Yuanhui , Liu Yan , Li Hu , Yang Song 
Published: July 2019

Background::
Liquid C8-C15 long-chain alkanes, as the main components of jet fuels or
diesel, can be synthetized from abundant and renewable biomass derivatives by extending the carbon-
chain length through cascade C-C coupling over acidic catalysts and hydrodeoxygenation over
metal particles.

Objective::
This research aims to develop a carbon-increasing catalytic process through the dimerization
of 5-methylfurfuryl alcohol to produce the C11 oxygenate bis(5-methylfuran-2-yl) methane.

Method::
In this work, 5-methylfurfural, derivable from sugars, could be reduced to the expensive 5-
methylfurfuryl alcohol over Cs2CO3 using an eco-friendly hydride polymethylhydrosiloxane. In the
subsequent carbon-increasing process, a solid acidic nanocatalyst 3-chlorpyridine phosphotungstic
acid (3-ClPYPW) was developed to be efficient for the conversion of 5-methylfurfuryl alcohol to
bis(5-methylfuran-2-yl) methane under mild reaction conditions.

Results::
A good bis(5-methylfuran-2-yl) methane yield of 51.6% was obtained using dichloromethane
as a solvent at a low temperature of 70°C in 11 h. The solid nanocatalyst was able to be
reused for at least four cycles without a remarkable loss of catalytic activity. The kinetic study
proved that the reaction is a first-order reaction with apparent activation energy (Ea) of 41.10 kJ
mol-1, while the thermodynamic study certified that the reaction is non-spontaneous and endothermic.

Conclusion::
A novel catalytic pathway for the synthesis of BMFM (C11 oxygenate) by the one-pot
process was successfully developed over solid acidic nanocatalysts 3-ClPYPW.
Research on Gastric Cancer’s Drug-resistant Gene Regulatory Network Model
Authors: Li Zhi , Zhang Tianyue , Lei Haojie , Wei Liyan , Liu Yuanning , Shi Yadi , Li Shuyi , Shen Bowen , Guo Hao , Chen Zhangqian , Yi Xiaorong , Zhang Hao 
Published: July 2019

Objective:
Based on bioinformatics, differentially expressed gene data of drug-resistance in
gastric cancer were analyzed, screened and mined through modeling and network modeling to find
valuable data associated with multi-drug resistance of gastric cancer.

Methods:
First, data sets were preprocessed from three aspects: data processing, data annotation
and classification, and functional clustering. Secondly, based on the preprocessed data, each
classified primary gene regulatory network was constructed by mining interactions among the
genes. This paper computed the values of each node in each classified primary gene regulatory
network and ranked these nodes according to their scores. On the basis of this, the appropriate core
node was selected and the corresponding core network was developed.

Results and Conclusion::
Finally, core network modules were analyzed, which were mined. After
the correlation analysis, the result showed that the constructed network module had 20 core genes.
This module contained valuable data associated with multi-drug resistance in gastric cancer.
Products of Dental Use Containing Copaiba Oil-resin: Technological Prospecting Based on Patents
Authors: Valadas Lidia Audrey Rocha , de Oliveira-Filho Rosueti Diógenes , de Oliveira Marcelo Bruno Lemos , de Mello Fiallos Ana Cristina , Lotif Mara Assef Leitão , de França Fonteles Marta Maria , Bandeira Mary Anne Medeiros 
Published: July 2019

Background:
Copaiba oil-resin has been widely used and is especially found in
neotropical regions, for which several pharmacological activities have been documented over the
years. Prospective studies in intellectual property banks are important to increase competitiveness
and thus generate new products in various research areas.

Objective:
A prospective study was carried out on patents of products containing copaiba oil-resin
for dental use in intellectual property banks.

Methods:
The research was conducted with patent searches in six intellectual property banks of
the world. Relevant information about the invention in the patent document was collected, processed
and described.

Results:
The search found 9 patents using copaiba resin oil-resin in dental products. The National
Institute of Industrial Property (INPI-Brazil) had the highest number of deposits (5), followed by
Espacenet (2) and Free Patents (2). C. Langsdorffii was highlighted as the most widely used species
in the products and deposits of vehicles in formulations (3). All the patents in the search are
A61K code for medical, dental or hygienic purposes.

Conclusion:
Most of the found patents are related to the area of Microbiology, specifically with
application in Cariology. Brazil is represented by the INPI and presented the highest number of
patent applications when compared to other intellectual property banks.
A Comprehensive Analysis of Image Forensics Techniques: Challenges and Future Direction
Authors: Ansari Mohd D. , Rashid Ekbal , Skandha S. Siva , Gupta Suneet K. 
Published: July 2019

Background:
Image forensics deal with the problem of authentication of pictures or
their origins. There are two types of forensics techniques namely active and passive. Passive forgery
is also known as blind forensics technique. In passive forgery, copy-move (cloning) image forensics
is most common forgery technique. In this approach, an object or region of a picture is copied
and positioned somewhere else in the same image. The active method used watermarking to
solve picture genuineness problem. It has limitations like human involvement or particularly
equipped cameras. To overwhelm these limitations, numerous passive authentication approaches
have been developed. Moreover, both approaches do not require any prior information about the
picture.

Objective:
The prime objective of this survey is to provide an inclusive summary as well as recent
advancement, challenges and future direction in image forensics. In today’s digital era, digital pictures
and videos are having a great impact on our life as well as society, as they became an important
source of information. Though earlier it was very difficult to doctor the picture, nowadays
digital pictures can be doctored easily with the help of editing tools and the internet. These practices
make pictures as well as videos genuineness deceptive.

Conclusion:
This paper presents the current state-of-the-art of passive (cloning) image forensics
techniques, challenges and future direction of this research domain. Furthermore, the major open
issues in developing a robust cloning image forensics detector with their performance are discussed.
Lastly, the available benchmark datasets are also discussed.
Effects of Ultraviolet Pretreatment on Pigment Printing of Cotton / Polyester Blend Fabric
Authors: Zolriasatein Ali A. 
Published: July 2019

Introduction:
Pigments have become the largest colorant group for textile prints because
pigment printing is the oldest and cheapest method. Binders are used to fix pigments to the fibers by
adhesion. Pigment binders play a significant role in pigment printing because it encloses the pigment
particles and adheres to the fiber.

Objective:
In this study, cotton/polyester blend fabrics were treated with ultraviolet light (UVB) at an
air pressure of 1 atm to improve printability.

Methods:
To study the influence of pretreatment time, experiments were carried out at different exposure
times. Untreated and UV treated fabrics were analysed by Fourier-transform infrared spectroscopy
to investigate changes in the chemical composition of fabrics. It was observed that carbonyl
groups were formed on the surface of UV pretreated cotton fibers. Scanning Electron Microscopy
(SEM) was used to investigate the roughness and cracks on the treated fiber surface. Then, all UV
treated and untreated fabrics were screen printed with different kinds of pigments. The color strength
of the printed fabrics and fastness properties to washing and dry/wet rubbing were evaluated.

Results:
Experimental data showed that atmospheric UV pretreatment led to an increase in pigment
uptake. Moreover, UV pretreated fabrics had better dry and wet rubbing fastness compared with
untreated fabrics.

Conclusion:
The washing fastness of UV pretreated fabric showed no significant change and was
comparable with that of untreated fabric. The loss in tensile strength of UV pretreated fabrics was
greater than untreated samples.
Therapeutic Promises of Chlorogenic Acid with Special Emphasis on its Anti-Obesity Property
Authors: Kumar Rajnish , Sharma Anju , Iqbal Mohammed Shariq , Srivastava Janmejai K. 
Published: July 2019

Background::
Chlorogenic acid (CGA) is a quinic acid conjugate of caffeic acid. It is an ester
formed between caffeic acid and the 3-hydroxyl of L-quinic acid. This polyphenol is naturally present
in substantial amount in the green coffee beans. Minor quantities of CGA are also reported in apples,
eggplant, blueberries, tomatoes, strawberries and potatoes. CGA is reported to be beneficial in hypertension,
hyperglycemia, antimicrobial, antitumor, memory enhancer, weight management etc. Further, it
is also reported to have anticancer, antioxidant and anti-inflammatory activities. Since the last decade,
CGA drew public attention for its widely recommended use as a medicine or natural food additive supplement
for the management of obesity.

Objective:
The current review explores the medicinal promises of CGA and emphasizes on its antiobese
property as reported by various scientific reports and publication.

Conclusion:
CGA shows promises as an antioxidant, glycemic control agent, anti-hypertensive, antiinflammatory,
antimicrobial, neuro-protective and anti-obesity agent. It primarily activates the AMPactivated
protein kinase, inhibits 3-hydroxy 3-methylglutaryl coenzyme-A reductase and strengthens the
activity of carnitine palmitoyltransferase to control the obesity.
The Reproduction Health Behavior of High School Teenagers in Semarang, Indonesia
Authors: Handayani Oktia Woro Kasmini , Wiranti Iin , Raharjo Bambang Budi , Nugroho Efa 
Published: July 2019

Background:
It is recorded in Semarang that nearly 50% of the teenagers have conducted premarital sexual intercourse at the age 10-15 years. One of the efforts to prevent it is by reproduction health education at school to improve the teenagers’ knowledge and health behavior.

Objective:
The research objective is to find out the relation of school role in health education with reproduction health behavior on high school teenagers in Semarang.

Methods:
The research was conducted in 2017, which is a correlation description research with a quantitative approach. The population is all high school students in Semarang, i.e. 6620 students, the sample taking technique is by purposive sampling with 178 respondents. Questionnaire instruments were used to collect data on the role of schools and adolescent reproductive health behaviors. The questionnaire was tested for validity and reliability first. In addition, additional instruments such as APARQ are used, which are standard questionnaires for measuring physical activity and standard recall, so validity and reliability tests are not needed. Data was analysed using univariate, bivariate and multivariate with SPSS.

Results:
There was a significant role of school in the teenager’s reproduction health behavior (p-value 0.023), there was no significant effect of the dating status on the teenager reproduction health behavior with (p-value 0.693), there was a significant effect of teenager knowledge to teenager reproduction health behavior (p-value 0.012) and there was no significant relation between teenage physical activity and teenager reproduction health behavior in Semarang (p-value 0.370).

Conclusion:
The role of the school is directly related through knowledge to the reproduction health behavior where the policy and activity have the highest effect on knowledge. Moreover, age, dating status, and physical activity do not directly relate to the reproduction health behavior of high school teenagers in Semarang. Besides, result demonstrate that school has a high role in teenager knowledge compared to other variables in this research.
Cyclo(L-Pro-L-Tyr) from Streptomyces sp. 150: Exploiting in vitro Potential in Controlling Foodborne Pathogens and Phytopathogens
Authors: Rahman Atiqur , Siddiqui Shah A. , Rahman M. Oliur , Kang Sun C. 
Published: July 2019

Background:
In the prokaryotic unicellular bacteria, Streptomyces species are the most frequent producers of bioactive secondary metabolites. Our continuous quest for new antibiotics from Actinomycetes genera put us forward for isolation of a strain Streptomyces sp. 150 from the soil samples collected at the Daegu University premises in Korea.

Objective:
The aims of this study was to isolate and identify bioactive compounds from the isolated microorganism and assess the efficacy of the compounds in controlling foodborne pathogens and phytopathogens.

Methods:
The isolated bacterium was characterized by the taxonomic analyses and a compound was isolated from the fermentation broth by applying different chromatographic techniques e.g. column chromatography, TLC and PTLC. The structure of the compound was established by UV, IR, 1H-NMR and 13C-NMR spectral data analyses. The antibacterial and antifungal efficacy of the compound was assessed by disc diffusion assay, poisoned food technique, MIC determination and SEM analysis.

Results:
Different chromatographic techniques resulted in isolation and purification of a secondary metabolite from the fermentation broth of Streptomyces sp. 150. The analyses of the spectroscopic data identified the compound as cyclo(L-Pro-L-Tyr). The compound exhibited potential efficacy in controlling all the seven foodborne pathogenic bacteria with corresponding inhibition zone and minimum inhibitory concentration (MIC) ranging from 15.1 to 20.1 mm and 15.6 to 62.5 μg/mL respectively, and tested phytopathogenic fungi with mycelium growth inhibition varying from 57.1 to 68.5% and MIC from 125 to 250 μg/mL. Moreover, in scanning electron microscopy, morphological changes in Listeria monocytogenes ATCC 19166 at MIC dose of compound was observed.

Conclusion:
This study demonstrated the possibility to use the compound cyclo(L-Pro-L-Tyr) in food and agrochemical industries to control foodborne pathogens and phytopathogens.
Comparison of Fluid Flow and Heat Transfer Through Metal Foams and Wire Mesh by Using CFD
Authors: Kotresha Banjara , Gnanasekaran Nagarajan 
Published: July 2019

Background:
The unique structural characteristics of the metal foams, such as low density,
large surface area, ability to increase turbulence, and increased heat transfer efficiency, are the advantages
associated with thermal applications such as electronics cooling, refrigeration air conditioning,
etc. The porous metal foam structures are extensively used to enhance heat transfer.

Objective:
This paper discusses the numerical simulations of a vertical channel filled with metal foam
and wire mesh. The fluid flow and heat transfer phenomena of a wire mesh are compared with two
different types of metal foams. Metal foams are made of aluminium and copper while the wire mesh is
made of brass. The porosity of the metallic porous structures varies from 0.85 to 0.95.

Methods:
A Darcy extended Forchheirmer model is considered for solving fluid flow through the
porous media while the heat transfer through the porous media is predicted using local thermal
non-equilibrium model.

Results:
Initially, the results obtained using the proposed numerical procedures are compared with
experimental results available in the literature. The numerical simulations suggest that the pressure drop
increases as the velocity of the fluid increases and decreases as the porosity increases. The heat transfer
coefficient and Nusselt number are determined for both the metal foams and the wire mesh.

Conclusion:
The Nusselt number obtained for wire mesh shows almost 90% of the copper metal foam
in the same porosity range. The numerical results suggest that the brass wire mesh porous medium can
also be used for enhancement of heat transfer. In this article, patents have been discussed.
Equilibrio, cinética y termodinámica de la adsorción del colorante DB-86 sobre carbón activado de la cáscara de yuca
Authors: Castellar-Ortega Grey , Mendoza Colina Evert De  Jesus , Angulo Mercado Edgardo Ramon , Paula Pereira Zilena Alejandra , Rosso Bravo María Camila , Jaramillo Colpas Javier Enrique 
Published: July 2019

Objetivo. Establecer mediante experimentos por lote la capacidad de remoción, la cinética y termodinámica de adsorción del carbón activado preparado a partir de la cáscara de yuca (Manihot esculenta) en la remoción del colorante azul directo 86. Materiales y métodos. La metodología experimental consistió en la preparación del carbón activado por activación química de la cáscara de yuca con H3PO4 y su posterior calcinación a 530°C. En la caracterización se determinaron las propiedades de textura mediante el índice de yodo e índice de azul de metileno, se cuantificaron los grupos funcionales orgánicos ácidos y básicos con el método Boehm. En el estudio por lote, el efecto de varios parámetros sobre la capacidad de adsorción fueron evaluados: el pH (2,4,8 y 10), la temperatura (25,30 y 40°C) y la concentración inicial de colorante (20,40,60,80 y 100 mg/L). Tanto las características fisicoquímicas como los ensayos de adsorción del carbón activado fueron comparadas con otro de marca comercial (CAM). Resultados. Los resultados de la caracterización indican que ambos carbones tienen una química de superficie heterogénea, de naturaleza ácida para el CAY y básica para el CAM. La máxima capacidad obtenida fue 6.1 mg/g para el CAY y de 3.7 mg/g para el CAM. Los cálculos termodinámicos indican que la remoción es espontánea y para ambos carbones la cinética se ajusta al modelo de pseudo segundo orden. Conclusión. El carbón activado obtenido a partir de la cáscara de yuca puede considerarse un adsorbente eficiente en la remoción de colorantes.
Hubungan antara Kecerdasan Emosional, Stres Akademik, dan Kesejahteraan Subjektif pada Mahasiswa
Authors: Julika Sari , Setiyawati Diana 
Published: July 2019

The objective of this study was to understand the relationship between academic stress, emotional intelligence, and subjective well-being in college student. Hypothesis for this study is academic stress and emotional intelligence can predict someone’s subjective well-being. This study utilized a quantitative survey method. Participants of this study were 132 college students from different majors who lived in Yogyakarta, men and women, with ages varied from 18 to until 30s. Measurement tools that utilized in the study were academic stress, emotional intelligence scale, and student subjective well-being. Data was analyzed using regression analysis. Academic stress and emotional intelligence were found to predict someone’s subjective well being (F=9.862; p<0.001).
Access to Kidney Transplantation after a Failed First Kidney Transplant and Associations with Patient and Allograft Survival
Authors: Clark Stephanie , Kadatz Matthew , Gill Jagbir , Gill John S. 
Published: July 2019

Background and objectives
Patients who have failed a transplant are at increased risk of repeat transplant failure. We determined access to transplantation and transplant outcomes in patients with and without a history of transplant failure.

Design, setting, participants, & measurements
In this observational study of national data, the proportion of waitlisted patients and deceased donor transplant recipients with transplant failure was determined before and after the new kidney allocation system. Among patients initiating maintenance dialysis between May 1995 and December 2014, the likelihood of deceased donor transplantation was determined in patients with (n=27,459) and without (n=1,426,677) a history of transplant failure. Among transplant recipients, allograft survival, the duration of additional kidney replacement therapy required within 10 years of transplantation, and the association of transplantation versus dialysis with mortality was determined in patients with and without a history of transplant failure.

Results
The proportion of waitlist candidates (mean 14%) and transplant recipients (mean 12%) with transplant failure did not increase after the new kidney allocation system. Among patients initiating maintenance dialysis, transplant-failure patients had a higher likelihood of transplantation (hazard ratio [HR], 1.16; 95% confidence interval [95% CI], 1.12 to 1.20; P<0.001). Among transplant recipients, transplant-failure patients had a higher likelihood of death-censored transplant failure (HR, 1.44; 95% CI, 1.34 to 1.54; P<0.001) and a greater need for additional kidney replacement therapy required within 10 years after transplantation (mean, 9.0; 95% CI, 5.4 to 12.6 versus mean, 2.1; 95% CI, 1.5 to 2.7 months). The association of transplantation versus dialysis with mortality was clinically similar in waitlisted patients with (HR, 0.32; 95% CI, 0.29 to 0.35; P<0.001) and without transplant failure (HR, 0.40; 95% CI, 0.39 to 0.41; P<0.001).

Conclusions
Transplant-failure patients initiating maintenance dialysis have a higher likelihood of transplantation than transplant-naïve patients. Despite inferior death-censored transplant survival, transplantation was associated with a similar reduction in the risk of death compared with treatment with dialysis in patients with and without a prior history of transplant failure.