bluuebunny/crossref_metadata_2025_split huggingface dataset:
Possible Biomarkers and Therapeutic Targets for the Management of Cervical Cancer
Authors: Sharma Sombeer , Deep Aakash , Rana Avtar C. , Yadav Monu , Sharma Arun K. 
Published: March 2019

Introduction:Cervical cancer is the most prevalent cancer in the world due to unusual extension of cervical cell. Cervical cancer occurs due to exposure of HPV (Human papillomavirus). According to WHO, it is the 4th most ordinary cancer in women. In 2018, approx 6.6% of population was affected around the world and 570,000 new cases were reported. In low and middle-income countries, 90% of cervical cancer deaths occur.Methods:Despite various factors that cause cervical cancer are included exposure to HPV, dysregulation of CASPASE enzyme, elevated expression of IAPs (Inhibitor apoptotic protein), E6 and E7 gene of HPV, inhibition of p53, BAK, p16 upregulation, CDK-inactivation causing cervical cancer, role of VEGF, role of estrogen and its receptor in cervical cancer.Results:Cervical cancer can be screened by Pep test. There are various therapies that can be used to treat cervical cancer. As these therapies have various side effects, so the world is moving to herbal formulations to treat cervical cancer.Conclusion:In this study, we will discuss cervical cancer, its cause, symptoms, pathophysiology and treatments. Early screening and detection can help in reducing the overall burden of cervical cancer in the near future.
Central Nervous System Neoplasms in Hong Kong: An Inscription of Local Studies
Authors: Pu Jenny K.S. , Kwong Dora L.W. 
Published: March 2019

:
A registry of brain and central nervous system (CNS) tumor patients in Hong Kong
comprising of data from both public and private neurosurgical practices (with approximately 98%
patients of Chinese origin), suggested geographical or racial variations in disease incidence. The
data confers the finding of a comparatively lower incidence rate of meningioma and malignant
gliomas as in other parts of Southeast Asia.

:
With data suggesting epidemiological difference, the treatment response, particularly in highgrade
glioma, was studied. Patients suffering from glioblastoma (GBM) in Hong Kong received
the standard of care, which involves safe, maximal resection followed by the Stupp regime.
5-aminolevulinic acid (5-ALA)-based fluorescence-guided surgery was found to be feasible and
safe to adopt in the treatment of local WHO Grade III & IV gliomas patients. Survival benefit was
seen in a group of patients using extended adjuvant temozolomide (TMZ) treatment for newly
diagnosed GBM as compared to those treated with the standard 6 cycles. Salvage therapies with
either single agent bevacizumab or bevacizumab plus irinotecan appeared to be effective treatment
options in Hong Kong patients with recurrent malignant glioma, with a good associated 6-
month progression-free survival (PFS) rate which was comparable to previously published overseas
data in this disease type in the same overall population.
Effect of Supplementation of Amaranth Flour on Various Quality Attributes and Antioxidant Activities of Bread
Authors: Mukhtar Huma , Gull Amir , Ganaie Tariq A. , Rather Sajad A. , Masoodi Farooq A. , Ganie Shaiq 
Published: March 2019

Background:The present investigation was carried to develop amaranth based wheat flour bread. Products were developed by using different levels of amaranth flour and wheat flour in the ratio of 0:100,5:95, 10:90 and 15:85 respectively.Methods:Physico-chemical, antioxidant activity, total phenolic content and physical properties of amaranth supplemented bread were evaluated.Results:Results revealed an increase in moisture content from31.41 -33.35%, ash content 0.95- 1.52%, protein content 12.19% -13.23%, fat content 2.21% -2.81% and crude fiber 1.13-1.74%, and decrease in nitrogen free extract, alkali water retention capacity 52.11-47.35% and 137.66-112.00% respectively. Also it was observed that amaranth flour supplemented bread showed decrease in total phenolic content, antioxidant activity and FRAP assay with increase in substitution level. Color evaluation showed increase in L* and a* value of bread crust, while as bread crumb shows decrease in b* and L* value respectively. Nutritional evaluation revealed that among the samples tested 85% wheat flour and 15% amaranth flour supplemented bread was rated best as it was also evident from nutritional analysis.Conclusion:Maximum substitution of wheat flour with amaranth flour were 10% in terms of desirable bread quality attributes. The composite breads would serve as functional food, because of its high nutritional value than whole-wheat bread.
Impact of Storage and Packaging Material on the Nutritional, Product Properties and Microbial Count of Extruded Snacks
Authors: Wani Sajad A. , Bhat Tariq A. , Ganie Nawaz A. , Kumar Pradyuman 
Published: March 2019

Background:The extrusion cooking is the most widely used process so the development and consumption of extruded snack products having health and nutritious benefits would help increase the health status of the population.Objective:The aim of this study was to investigate the effect of storage days on physical, microbial activity and sensory characteristics of extruded snacks and kinetics of extruded snacks.Methods:Extruded snacks were produced by extrusion cooking at optimized conditions of temperature, moisture and screw speed of 110°C, 12% (db) and 200 rpm. The products were packed in lowdensity polyethylene (LDPE) and laminated pouches (LP) and were stored at an accelerated temperature condition of 40 ± 2°C. The storage stability in terms of quality parameters such as moisture, hardness, bulk density, color, lateral expansion, sensory characteristics and total plate count was investigated.Results:An increase (p≤0.05) in the value of moisture, bulk density, a*, and total plate count was observed during the storage period, whereas hardness, L*, b*, ΔE and sensory characteristics showed significant (p≤0.05) decreased order with storage period. No significant effect on the lateral expansion of the extruded product was observed. A significant decrease in total carbohydrate, fat and protein content was found during the storage period. The average sensory score and microbial analysis suggested that extruded snacks packed in LDPE pouches can only be acceptable up to the 60th day and extruded snacks packed in LP can be acceptable to more than 90th day. The kinetics of color and hardness suggest first order kinetics.Conclusion:Overall investigation suggested that extruded snacks were more stable in the LP as compared to LDPE pouches.
Effect of Liquid Smoke Extract on the Oxidative Stability, Benzopyrene and Sensory Quality of Calabrese Sausage
Authors: Schwert Rodrigo , Verlindo Roberto , Soares Juliana M. , Silva Patricia F. , Cansian Rogerio L. , Steffens Clarice , Treichel Helen , Valduga Eunice 
Published: March 2019

Background:Liquid smokes treatment eliminated most problems associated to the traditional method, besides providing uniformity of flavour and colour in meat products.Objective:This work evaluate the effects of liquid smoke treatment in the oxidative stability and content benzo(a)pyrenes, compared to the traditional smoking treatment in Sausage type Calabrese.Methods:Samples treated with liquid smoke were evaluated every 7 days, during 28 days of storage at 20°C.Results:High lipid oxidation was observed in runs increased by liquid smoke dilution (1:3) at 28 days of storage. The product was characterized as moderately rancid, with malonaldehyde values of 0.44 mgMA.kg-1. Concentrations of benzo(a)pyrenes in sausages with liquid and traditional smoke treatment were less than 0.12 and 0.19 μg.kg-1, respectively.Conclusion:In this way, the use of liquid and traditional smoke with temperature control ~300°C for a smoke generation are promising and safe approaches for obtaining low levels of benzo(a)pyrenes, lipids and protein oxidation in Sausage type Calabrese.
Image Reconstruction with the Fourier Coefficients for Magnetic Induction Tomography
Authors: Wang Jingwen , Wang Xu , Yang Dan , Wang Kaiyang 
Published: March 2019

Background:
Image reconstruction of magnetic induction tomography (MIT) is a typical
ill-posed inverse problem, which means that the measurements are always far from enough.
Thus, MIT image reconstruction results using conventional algorithms such as linear back projection
and Landweber often suffer from limitations such as low resolution and blurred edges.

Methods:
In this paper, based on the recent finite rate of innovation (FRI) framework, a novel image
reconstruction method with MIT system is presented.

Results:
This is achieved through modeling and sampling the MIT signals in FRI framework, resulting
in a few new measurements, namely, fourier coefficients. Because each new measurement
contains all the pixel position and conductivity information of the dense phase medium, the illposed
inverse problem can be improved, by rebuilding the MIT measurement equation with the
measurement voltage and the new measurements. Finally, a sparsity-based signal reconstruction
algorithm is presented to reconstruct the original MIT image signal, by solving this new measurement
equation.

Conclusion:
Experiments show that the proposed method has better indicators such as image error
and correlation coefficient. Therefore, it is a kind of MIT image reconstruction method with high
accuracy.
Chemical Variability of Atractylis gummifera Essential Oils at Three Developmental Stages and Investigation of Their Antioxidant, Antifungal and Insecticidal Activities
Authors: Mejdoub Kenza , Mami Imane R. , Belabbes Rania , Dib Mohammed El A. , DJabou Nassim , Tabti Boufeldja , Benyelles Nassira G. , Costa Jean , Muselli Alain 
Published: March 2019

Background:
Atractylis gummifera is a cosmopolitan species that is particularly abundant in
the Mediterranean regions. It has been used to treat many diseases, including intestinal parasites, ulcers,
snakebite poisoning, hydrops and drowsiness. As part of our research program on natural compounds
with biological activities, the objective of this study was to determine for the first time the chemical
composition and biological activities of essential oils of Atractylis gummifera during beginning of the
vegetative cycle (March), beginning of the flowering stage (April) and full bloom (May/June).

Methods:
The essential oils were obtained by means of hydrodistillation and its components were analyzed
using gas chromatography and mass spectrometry (GC/MS). The antioxidant properties were
evaluated using two different methods i) Radical scavenging activity (DPPH) and ii) β-carotene bleaching
assay. Whereas, the antifungal activity of the essential oils was investigated against five plant fungi.
The fumigation toxicity of essential oils was evaluated against adults of Bactrocera oleae better known
as the olive fly.

Results:
The essential oil produced from the plant taken at the beginning of the vegetative cycle
(March) had a high level of non-terpenic aliphatic compounds. On the other hand, the essential oil obtained
during the period from the beginning of the flowering stage (April) showed that its proportion of
non-terpene compounds decreased and that of sesquiterpene compounds increased. Finally, the essential
oils obtained during the period from full bloom (May/June) consisted mainly of acetylene compounds
such as carlina oxide and 13-methoxy carlina oxide. The results showed that essential oils from plants at
full bloom presented interesting antioxidant and antifungal properties, while essential oil produced from
plants at the beginning of the vegetative cycle (Mars) and at the beginning of the flowering stage (April)
had better insecticidal activity.

Conclusion:
The data presented here constitutes new findings in the field of the chemical characterization
and biological potential of A. gummifera.
Innovative Configurations of Sample Preparation Techniques Applied in Bioanalytical Chemistry: A Review
Authors: Locatelli Marcello , Tartaglia Angela , Piccolantonio Silvia , Di Iorio Luigi Alessandro , Sperandio Elena , Ulusoy Halil Ibrahim , Furton Kenneth G. , Kabir Abuzar 
Published: March 2019

Background:
Recently, in all fields of analytical chemistry, increased attention has been
paid to extraction procedures and instrumental methods, which are easily scalable and are able to automate
in order to improve the “high-throughput” capability.

Introduction:
The main goal of these applications relates to an improvement of the precision in the
quantitative analysis, reduction of different sources of errors, decrease the analysis time and, in general,
improve the analytical performances. Often these points can be in contrast to each other, not allowing
to achieve the expected result but forcing a compromise between the objectives of the method
and the analytical performance.

Methods:
In this review, following the evolution of the (micro)extraction procedures and instrument
configurations, the recent procedures used in bioanalytical chemistry are critically evaluated. The
aim of this paper is providing an overview of the approaches available in order to perform on-line
coupling of various extraction techniques with chromatographic methods for the analysis of different
compounds in various samples. Furthermore, a comparison between off-line and on-line systems, advantages
of on-line systems applied on major extractive techniques and future perspectives are described.

Result:
The extraction methods suitable for on-line coupling covered in this review are: liquid-liquid
extraction (LLE), solid phase extraction (SPE), solid phase microextraction (SPME), dispersive liquid-
liquid microextraction (DLLME), microextraction by packed sorbent (MEPS), supercritical fluid
extraction (SFE) and fabric phase sorptive extraction (FPSE).

Conclusion:
An overview of the micro-extraction techniques mentioned above was provided, making
a comparison between them and focusing attention on future perspectives.
Preparation and Thermal Analysis of Flame-retardant Chitosan Thin Films on Ammonium Polyphosphate Treated Reconstituted Tobacco Sheet
Authors: Zhu Xiaolan , Shao Ning , Li Dongliang , Xue Fang , Hou Li , Gao Yun 
Published: March 2019

Background:
Burning temperature is one of the most important factors affecting the
chemical structure of the smoke and the addition of reconstituted tobacco sheet to cut tobacco has been
widely used by the tobacco industry to reduce the cost of cigarettes and the health risks of smoking.

Methods:
A flame retardant film, made from chitosan and ammonium polyphosphate, has been coated
on the surface of the reconstituted tobacco sheet substrate by Layer-by-Layer and spray coating
techniques. The thermal degradation properties and flame retardancy of these reconstituted tobacco
sheets were analyzed by TG-FTIR and micro-scale combustion calorimetry.

Results:
It was found that the reconstituted tobacco sheet with the ratio of chitosan (5%) and ammonium
polyphosphate (3%) film coating showed significant reductions in the peak heat release rate
(50.7%), total heat release (35.8%) and the highest temperature in the temperature distribution diagram
(77°C). The main gases released during the pyrolysis of these reconstituted tobacco sheet samples
were H2O, CO2, CO, NH3, carbonyl compounds and the presence of film coating changed the
formation of evolved volatile products and formed less gaseous products except NH3 during the
thermal decomposition process.

Conclusion:
The coating film can greatly enhance the char forming ability and reduce the flammability
of reconstituted tobacco sheet, and therefore, reduce the health risks of smoking with the addition
of these reconstituted tobacco sheets.
Review on Preclinical and Clinical Evidence of Food (Beverages, Fruits and Vegetables) and Drug Interactions: Mechanism and Safety
Authors: Yadav Yogesh C. , Pathak Kamla , Pathak Devender 
Published: March 2019

Background:The therapeutic potency and efficacy of drugs can be affected by a patient’s dietary habit. The food composition and their nutritional value interact with drugs that lead to alteration of the therapeutic response of drugs in patients.Objective:This present review is an attempt to illustrate clinical reports of food-drug interaction. Further, it also highlights specific interaction mechanism(s) and the safety thereof.Methods:Through the search engine “Scopus”; literature on recent advances in food and drug interactions includes almost all therapeutic categories such as antimicrobials, antiviral, antifungal, antihistamines, anticoagulants, non-steroidal anti-inflammatory drugs, and drugs acting on the central nervous system and cardiovascular system.Results:Preclinical and clinical studies that have been conducted by various researchers affirm significant drug-food interactions across the various therapeutic categories of drugs. Preclinical studies have documented the effects of food, milk products, alcohols, fruit and vegetables on the drug absorption, metabolizing enzymes and drug transporters. The clinical studies on fruits/vegetables and drugs interactions report significant alteration in therapeutic response.Conclusion:Based on the preclinical and clinical reports, it can be concluded that the interaction of food with drug(s) significantly alters their therapeutic potential. The inputs from clinical practitioners to elucidate potential risk of food-drug interaction need to be intensified in order to prevent adverse clinical consequences.
Formulation and in vitro Evaluation of Hesperidin-Phospholipid Complex and its Antioxidant Potential
Authors: Kalita Bhupen , Patwary Bhargab Nath 
Published: March 2019

Background:
The recent trend of herbal drug delivery has been focused on developing
novel drug delivery carriers to address problems related to solubility, oral bioavailability, skin permeation
and stability. The phyto-phospholipid complex (phytosomes®) technology has been used to
overcome the problems associated with many conventional herbal extracts.

Aim:
The present work aimed to formulate phospholipid-complex of the flavanoid Hesperidin to
enhance its dissolution leading to enhanced oral bioavailability.

Method:
The complex was prepared by refluxing various molar ratios of hesperidin and PC followed
by solvent evaporation. The prepared complexes were evaluated for saturation solubility,
partition co-efficient and drug content. The free drug and phospholipid complexes were analyzed in
DSC. Surface morphology of the prepared complexes was viewed using SEM images. Selected
formulations were subjected to in vitro drug release study. Antioxidant effect was examined by free
radical scavenging method.

Results:
Solubility and partition coefficient of the prepared complexes were improved in comparison
to free drug. Based on the results of solubility, partition coefficient and drug content, formulation
F2 was selected as an optimized batch. DSC thermograms confirmed the formation of phospholipid
complex. Free Hesperidin and Hesperidin-phospholipid complex (F2) showed 46.9 % and
78.20 % of drug release, respectively, at seven hours phosphate buffer (pH 7.4). The optimized
formulation showed concentration-dependent anti-oxidant property.

Conclusion:
Results of the present study suggested that the phospholipid complex of Hesperidin
possesses the antioxidant potential and may be of potential use for improving the dissolution of
hesperidin and hence oral bioavailability.
Computational Approaches to Predict the Non-canonical DNAs
Authors: Parveen Nazia , Shamim Amen , Cho Seunghee , Kim Kyeong Kyu 
Published: March 2019

Background:Although most nucleotides in the genome form canonical double-stranded B-DNA, many repeated sequences transiently present as non-canonical conformations (non-B DNA) such as triplexes, quadruplexes, Z-DNA, cruciforms, and slipped/hairpins. Those noncanonical DNAs (ncDNAs) are not only associated with many genetic events such as replication, transcription, and recombination, but are also related to the genetic instability that results in the predisposition to disease. Due to the crucial roles of ncDNAs in cellular and genetic functions, various computational methods have been implemented to predict sequence motifs that generate ncDNA.Objective:Here, we review strategies for the identification of ncDNA motifs across the whole genome, which is necessary for further understanding and investigation of the structure and function of ncDNAs.Conclusion:There is a great demand for computational prediction of non-canonical DNAs that play key functional roles in gene expression and genome biology. In this study, we review the currently available computational methods for predicting the non-canonical DNAs in the genome. Current studies not only provide an insight into the computational methods for predicting the secondary structures of DNA but also increase our understanding of the roles of non-canonical DNA in the genome.
A New Approach for Predicting the Value of Gene Expression: Two-way Collaborative Filtering
Authors: Bayrak Tuncay , Oğul Hasan 
Published: March 2019

Background:
Predicting the value of gene expression in a given condition is a challenging
topic in computational systems biology. Only a limited number of studies in this area have
provided solutions to predict the expression in a particular pattern, whether or not it can be done
effectively. However, the value of expression for the measurement is usually needed for further
meta-data analysis.

Methods:
Because the problem is considered as a regression task where a feature representation of
the gene under consideration is fed into a trained model to predict a continuous variable that refers
to its exact expression level, we introduced a novel feature representation scheme to support work
on such a task based on two-way collaborative filtering. At this point, our main argument is that
the expressions of other genes in the current condition are as important as the expression of the
current gene in other conditions. For regression analysis, linear regression and a recently popularized
method, called Relevance Vector Machine (RVM), are used. Pearson and Spearman correlation
coefficients and Root Mean Squared Error are used for evaluation. The effects of regression
model type, RVM kernel functions, and parameters have been analysed in our study in a gene expression
profiling data comprising a set of prostate cancer samples.

Results:
According to the findings of this study, in addition to promising results from the experimental
studies, integrating data from another disease type, such as colon cancer in our case, can
significantly improve the prediction performance of the regression model.

Conclusion:
The results also showed that the performed new feature representation approach and
RVM regression model are promising for many machine learning problems in microarray and high
throughput sequencing analysis.