bluuebunny/crossref_metadata_2025_split huggingface dataset:
Immunomodulatory Activity of Punarnavine Alkaloid from Boerhaavia diffusa
Authors: Aher Vaibhav D. , Chattopadhyay Pronobesh , Patra Arjun 
Published: November 2018

Background:
Immunomodulators could alter the activity of the immune system. Most of the
synthetic chemotherapeutic agents are immune suppressants and produce side effects.
Immunomodulators derived from plants are used as general adaptogens and immune strengtheners
without undesired effects.

Methods:
Present study established the mode of immunostimulatory action of punarnavine alkaloid
(PA) isolated from Boerhaavia diffusa Linn. root by examining various parameters. PA was separated
from B. diffusa and its acute toxicity was studied by up-down regulation method. Immunomodulatory
activity of PA was determined in Albino mice by observing its effect on organ weight (liver, spleen,
thymus and kidney), expression of cytokines, bone marrow cellularity and alpha-esterase positive cells.
Plaque Forming Assay (PFA), Delayed Type Hypersensitivity (DTH), and phagocytosis activity were
also carried out to support the effect of PA. PA did not exhibit any toxic effect in mice.

Results:
In DTH study, the foot pad thickness due to influx of mononuclear cells at the site of inoculation
was distinctly increased in PA treated mice. PA enhanced the phagocytic activity of the polymorphonuclear
cells by increasing the engulfment of the Candida cells thereby stimulating a non-specific
immune response. PFA confirmed that PA treatment could elevate the humoral immune response due to
the synthesis of antibody which in turn is responsible for the enhancement of macrophages and Blymphocyte
subsets. The significant increase in the number of α-esterase positive cells and bone marrow
cellularity due to immunomodulatory effect indicated the proliferation of stem cells. Different organ
weight was also markedly improved by PA treatment compared to SRBC sensitized group. Further, in
real time PCR studies treatment of PA significantly increased IL- 7, IL- 10, IL-12a and IL-12b mRNA
gene expression.

Conclusion:
From the above findings it can be concluded that PA could be developed as a potent immunomodulatory
agent.
Dysfunctional Mechanism of Liver Cancer Mediated by Transcription Factor and Non-coding RNA
Authors: Zeng Wei , Wang Fang , Ma Yu , Liang Xianchun , Chen Ping 
Published: November 2018

Background:There have been numerous experiments and studies on liver cancer by biomedical scientists, while no comprehensive and systematic exploration has yet been conducted. Therefore, this study aimed to systematically dissect the transcriptional and non-coding RNAmediated mechanisms of liver cancer dysfunction.Method:At first, we collected 974 liver cancer associated genes from the Online Mendelian Inheritance in Man (OMIM). Afterwards, their interactors were recruited from STRING database so as to identify 18 co-expression modules in liver cancer patient expression profile. Crosstalk analysis showed the interactive relationship between these modules. In addition, core drivers for modules were identified, including 111 transcription factors (STAT3, JUN and NFKB1, etc.) and 1492 ncRNAs (FENDRR and miR-340-5p, etc.).Results:In view of the results of enrichment, we found that these core drivers were significantly involved in Notch signaling, Wnt / β-catenin pathways, cell proliferation, apoptosis-related functions and pathways, suggesting they can affect the development of liver cancer. Furthermore, a global effect on bio-network associated with liver cancer has been integrated from the ncRNA and TF pivot network, module crosstalk network, module-function/pathways network. It involves various development and progression of cancer.Conclusion:Overall, our analysis further suggests that comprehensive network analysis will help us to not only understand in depth the molecular mechanisms, but also reveal the influence of related gene dysfunctional modules on the occurrence and progression of liver cancer. It provides a valuable reference for the design of liver cancer diagnosis and treatment.
Analysis of Single-Cell RNA-seq Data by Clustering Approaches
Authors: Zhu Xiaoshu , Li Hong-Dong , Guo Lilu , Wu Fang-Xiang , Wang Jianxin 
Published: November 2018

Background:
The recently developed single-cell RNA sequencing (scRNA-seq) has
attracted a great amount of attention due to its capability to interrogate expression of individual
cells, which is superior to traditional bulk cell sequencing that can only measure mean gene
expression of a population of cells. scRNA-seq has been successfully applied in finding new cell
subtypes. New computational challenges exist in the analysis of scRNA-seq data.

Objective:
We provide an overview of the features of different similarity calculation and clustering
methods, in order to facilitate users to select methods that are suitable for their scRNA-seq. We
would also like to show that feature selection methods are important to improve clustering
performance.

Results:
We first described similarity measurement methods, followed by reviewing some new
clustering methods, as well as their algorithmic details. This analysis revealed several new
questions, including how to automatically estimate the number of clustering categories, how to
discover novel subpopulation, and how to search for new marker genes by using feature selection
methods.

Conclusion:
Without prior knowledge about the number of cell types, clustering or semisupervised
learning methods are important tools for exploratory analysis of scRNA-seq data.</P>
Recruitment Rates, Natal and Breeding Dispersal of Montagu’s Harriers (Circus Pygargus) by Means of Microsatellite Analysis
Authors: Janowski Susann , Pürckhauer Claudia , Krüger Ralf , Tietze Dieter Thomas , Wink Michael 
Published: November 2018

Introduction:Adult philopatry as well as juvenile dispersal and recruitment rates are key factors for population development. We investigated these questions for the first time in an increasing German population of Montagu’s harrier in Frankonia using microsatellite markers.Methods:By means of 16 loci, we genotyped 2265 samples from juvenile and adult female Montagu’s harriers. Parentage and identity tests were used to reconstruct life histories of birds for a 10 year period. Most of the birds were breeding in one or two years. The longest life history was eight years.Results:Adult philopatry was quite high and differed significantly between sexes. We found 73.5% of females to breed < 5 km around the previous nest site (80.4% < 10 km, median nesting distance 2.1 km). All investigated males (n=18) were breeding in a distance of < 5 km (median nesting distance 1.3 km) to the previous nest. Juveniles showed a low recruitment rate (females: 2.9%, males: 4.9%, together 4%). Median natal dispersal distance was 19.1 km for females and 12.3 km for males. We found 29.4% of females and 41.2% of males to be philopatric, as the distance between hatching and first breeding site was < 10 km. Philopatry results mostly agree with data from other European countries.Discussion:Due to strict marker and data selection we received high quality life histories of Montagu’s harriers, which demonstrate that microsatellite analyses are valuable tools in ornithology.Conclusion:Nevertheless, comparison of philopatry and recruitment rates depend directly on the scale used and investigation method and therefore remain a challenge.
Pharmacological Evaluation of Abietane Diterpenoids from Plectranthus bishopianus as Potent Antibacterial, Antioxidant and Their Cytotoxic Agents
Authors: Vinodh Guvvala , Naveen Polkam , Venkatesan Chidambaram Subramanian , Rajitha Galla , Shree Anireddy Jaya 
Published: November 2018

Background:
Lamiaceae is one of the large families that occur worldwide and has species
that are adaptable to almost all habitats and altitudes. Plectranthus is an important genus of Lamiaceae,
recognized globally as an ornamental as well as a medicinal herb with good economic interest.
The Plectranthus species possess antiseptic, vermicidal and purgative activities.

Objective:
The isolated compounds (1-3) from Plectranthus bishopianus were tested for their preliminary
pharmacological evaluation for antibacterial, antioxidant and cytotoxic activities.

Materials and Methods:
The Plectranthus bishopianus leaves were collected from the Western
Ghats of India. Extractions followed by isolation of the three compounds and structures were identified
by NMR, HRMS.

Results:
The isolated compounds, 6,7-dehydroroyleanone (1), 6β-hydroxy-7α-methoxyroyleanone
(2) and 6β, 7α-dihyroxyroyleanone (3) showed good antioxidant activity by DPPH method. The
results of the cytotoxicity evaluation of the compounds (1-3) displayed excellent activity against
MCF-7 cell line with IC50 values at 3.8 µg/mL, 3.85 µg/mL and 3.7 µg/mL respectively, which is
more potent than the reference standard cisplatin.

Conclusion:
The structures of isolated compounds were confirmed by NMR, LC-HRMS and further
pharmacological evaluation was accomplished. In addition, the isolates (1-3) were subjected to
insilico molecular properties prediction by employing Molinspiration software for calculating their
oral bioavailability and predicted to possess excellent oral bioavailability.
Antibacterial, Antifungal and Anti-tubercular Activities of Chloroform Fraction of the Leaf Extract of Irvingia Gabonensis (African Bush Mango)
Authors: Olanrewaju Ifedolapo O. , Mordi Raphael C. , Echeme JohnBull O. 
Published: November 2018

Background:
The prevalence of anti-drug resistance by disease causing microorganisms
has necessitated the search for alternative sources of drugs for the treatment of the ailments caused
by these microorganisms. This study examines the biological properties of extracts from the leaves
of Irvingia gabonensis (bush mango).

Objective:
The objective of this study is to determine the anti-microbial activity of chloroform
fraction of the leaf extract and compare it with that of clinical reference.

Methods:
Antimicrobial activity of the chloroform fraction of the leaf extract of Irvingia gabonensis
was evaluated against Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa, Shigella
dysenteriae, Salmonella typhi, Klebsiella pneumonia, Salmonella paratyphi, Candida albicans
and Trichophyton rubrum by using the agar well diffusion method and Mycobacterium tuberculosis
using agar proportion method on Lowenstein–Jensen medium. Preliminary phytochemical
screening of the chloroform leaf fraction was done using qualitative standard methods.

Results:
This showed the presence of saponins, flavonoids, tannins, coumarin, phenol and alkaloids.
Organisms were susceptible to chloroform fraction at different concentrations. The lowest
MIC value obtained was 0.625mg/mL for S. aureus and S. typhi. While, five out of seven mycobacterial
strains that were used, were susceptible.

Conclusion:
The antimicrobial activity is a result of the phytochemicals present in leaf. Therefore,
we conclude that Irvingia gabonensis leaves can be used in the development of new pharmaceuticals
research activities such as drug production.
Word and Character Information Aware Neural Model for Emotional Analysis
Authors: Beseiso Majdi 
Published: November 2018

Background:
Social media texts are often highly unstructured in accordance with the
presence of hashtags, emojis and URLs occurring in abundance. Thus, a sentiment or emotion analysis
on these kinds of texts becomes very difficult. The difficulty increases even more when such
texts are in local languages like Arabic.

Methods:
This work utilizes novel deep learning architectures in the form of character-level Convolutional
Neural Network (CNN) module and the word-level Recurrent Neural Network (RNN) module
to produce a hybrid architecture that makes use of the character level analysis and the word level
analysis to obtain state-of-the-art results on a totally new Arabic Emotions dataset.

Results:
The proposed method works the best among the traditional bag-of-words and Term Frequency
and Inverse Document Frequency methods for emotion analysis. It also outperforms the
state-of-the-art deep learning methods which are known to perform very well in an English corpus.

Conclusion:
The proposed deep end-to-end architecture utilizes the character level information from
a text through the Character CNN Module and the word level information from a text through the
Word-Level RNN Module.
Optimal Privacy Preserving Technique Over Big Data Analytics Using Oppositional Fruit Fly Algorithm
Authors: Kiran Ajmeera , Devara Vasumathi 
Published: November 2018

Background:
Big data analytics is the process of utilizing a collection of data accompanied
on the internet to store and retrieve anywhere and at any time. Big data is not simply a data but
it involves the data generated by variety of gadgets or devices or applications.

Objective:
When massive volume of data is stored, there is a possibility for malevolent attacks on
the searching data are stored in the server because of under privileged privacy preserving approaches.
These traditional methods result in many drawbacks due to various attacks on sensitive information.
Hence, to enhance the privacy preserving for sensitive information stored in the database,
the proposed method makes use of efficient methods.

Methods:
In this manuscript, an optimal privacy preserving over big data using Hadoop and mapreduce
framework is proposed. Initially, the input data is grouped by modified fuzzy c means clustering
algorithm. Then we are performing a map reduce framework. And then the clustered data is
fed to the mapper; in mapper the privacy of input data is done by convolution process. To validate
the privacy of input data the recommended technique utilizes the optimal artificial neural network.
Here, oppositional fruit fly algorithm is used to enhancing the neural networks.

Results:
The routine of the suggested system is assessed by means of clustering accuracy, error value,
memory, and time. The experimentation is performed by KDD dataset.

Conclusion:
A result shows that our proposed system has maximum accuracy and attains the effective
convolution process to improve privacy preserving.
Optimized Model for Cervical Cancer Detection Using Binary Cuckoo Search
Authors: Jain Rachna , Sangwan Saurabh Raj , Bachhety Shivam , Garg Surbhi , Upadhyay Yash 
Published: November 2018

Background:Cervical Cancer is one of the leading causes of deaths among women in India. Accurate and early detection of cancer seems to be a fruitful approach in the diagnosis process. It will be a boon for the medical industry. Prediction of cervical cancer using all the features takes a lot of time and computational resources. Hence, reducing the features and taking only essential features into consideration is an effective solution.Objective:The aim of the research is to identify the relevant features in the classification of cancer and optimize the model. Feature selection increases the accuracy percentage of any classifier. The binary cuckoo search optimization algorithm was applied to explore the important features in the attribute list.Methods:In our research, the performance of the proposed framework has been verified via instigating it with base classifiers such as Random Forest, kernel SVM, Decision Tree and kNN and then evaluated the results with and without Binary Cuckoo Optimization (BCO). The proposed method involves cuckoo search algorithm for selection of optimal feature split points. Cuckoo Search Optimization is a nature stimulated and breeding process of the cuckoo bird’s algorithm to predict best global solution.Results:The results produced only selected features vital for prediction of cancer. In addition, its performance has been paralleled against other factors such as Accuracy, Precision, Recall and Specificity and F-measure.Conclusion:The experimental results show that Decision Tree classifier outperforms all other classifiers with an accuracy of 94.7% increased to 97% after Cuckoo Optimization.
Withdrawal Notice: An Improved Collaborative Filtering Method through Content Association
Authors: Sun Runyuan , Ji Ke , Ma Kun , Yuan Dongfeng 
Published: November 2018

The article has been withdrawn at the request of the authors and editor of the journal Recent Advances in Computer Science
and Communications.;

The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php

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IDR Privacy Protection Based on Database Digital Watermarking
Authors: Li Yuancheng , Ma Longqiang , Li Xiang 
Published: November 2018

Background:
In smart grid, a flexible demand response management mechanism is used
to achieve the purpose of stabilizing the power grid, optimizing the power market, and rationally allocating
resources. There are two types of demand response management in the demand response
management mechanism: Price-based Demand Response (PDR) and Incentive-based Demand Response
(IDR).

Methods:
The paper studied the problem of privacy protection in IDR, and proposed a method based
on database digital watermark to protect user privacy. Segment the time, and then embed watermarks
in the user’s consumption data of each time segment. At the end of each billing period, extract the
watermarks from the data of each segment time, and then send the total consumption data of the user
of this billing period to the power supply company. The power supply company only knows the total
consumption data of the user, the company does not have any information regarding the users consumption
data which can prevent them from snooping the user privacy. The proposed digital watermarking
algorithm is based on K-Means clustering and wavelet transform, the K-Means algorithm is
used to cluster the database tuple data, and then wavelet transform is carried out on the available attribute
values within the clusters, and the watermark is embedded in the transformed attribute values.

Results:
The experimental results show that the proposed method is more robust when the database is
under subset deletion attacks, subset substitution attacks and subset addition attacks. Besides, the
computational cost is very low.

Conclusion:
The proposed digital watermark algorithm can embed the watermarks more decently
and overcome the burden of watermark embedding caused by statistical feature control. Besides, the
proposed method can protect the user privacy better than the other two methods.
HYDROGRAPH ANALYSIS FOR SUSTAINABLE KARST AQUIFER PROTECTION AND MANAGEMENT
Authors: Fatchurohman Hendy , Cahyadi Ahmad , Suprayogi Slamet 
Published: November 2018

AbstrakKeberadaan mata air karst sangat penting karena dapat berfungsi sebagai sumber air minum. Analisis hidrograf mataair karst merupakan langkah mendasar untuk menilai dan mengetahui kondisi daerah tangkapan air di daerah karst. Kurva resesi dipahami sebagai bagian paling stabil di hidrograf banjir tunggal yang mewakili karakteristik akuifer. Oleh karena itu, analisis kurva resesi digunakan untuk menentukan karakteristik akuifer, termasuk tingkat karstifikasi. Makalah ini difokuskan pada bagaimana menentukan derajat karstifikasi. derajat karstifikasi yang digunakan dalam makalah ini diperkenalkan oleh Malik (2007) yang juga memperhatikan analisis kurva resesi. Metode ini difokuskan pada karakteristik independen sub-rezim pada periode resesi. Kurva resesi adalah masukan utama untuk membuat persamaan recessional yang dikonversi menjadi nilai derajat karstifikasi. Skala kualitatif mulai dari 1 sampai 10 mewakili tingkat karstifikasi. Kedua metode tersebut berlaku umum di Indonesia. Kata kunci: Airtanah, derajat karstifikasi, hidrograf, manajemen
PEMANFAATAN CITRA QUICK BIRD DAN SISTEM INFORMASI GEOGRAFIS UNTUK PENYUSUNAN RENCANA PENGEMBANGAN FISIK OBYEK WISATA TELUK PACITAN
Authors: Wibowo Nur Khopsun 
Published: November 2018

AbstrakPenelitian ini bertujuan mendapatkan data/informasi bentuk lahan, penggunaan lahan, kemampuan lahan, kesesuaian lahan, sebaran fasilitas fisik serta potensi obyek dan daya tarik wisata, untuk menyusun rencana pengembangan fisik obyek wisata Teluk Pacitan. Populasi penelitian berupa unit-unit lahan seluas 2.174,24 ha dipetakan menjadi 182 grid. Jumlah sampel sebanyak 55 titik ditentukan dengan Purposive Sampling. Sampel tersebut untuk uji ketelitian hasil interpretasi citra Quick Bird. Analisis dengan uji ketelitian hasil interpretasi citra (metode Confusion Matrix Calculation), pengharkatan dan analisis SIG menggunakan software Arc View versi 3.3. Hasil analisis menunjukaan lahan kelas S1 mempunyai luas 523,197 ha, S2 seluas 371,752 ha, S3 seluas 462,102 ha, dan N seluas 817,192 ha. Sebaran fasilitas fisik obyek wisata cenderung mengelompok di wilayah Pantai Teleng Ria dan Pantai Tamperan, sedangkan potensi ODTW tersebar secara merata di setiap wilayah kepesisiran Teluk Pacitan. Rencana pengembangan direkomendasikan dalam 64 blok peruntukan lahan yang dapat dikelompokkan dalam 10 blok pengembangan fisik obyek wisata menurut jenis pengusahaannya. Kata kunci: sistem informasi geografis, rencana pengembangan, obyek wisata, Teluk Pacitan
LANJUT USIA (LANSIA) PEDULI MASA DEPAN DI DAERAH ISTIMEWA YOGYAKARTA
Authors: Khotimah Nurul , Gunardo Gunardo , Ghufron Anik , Sugiharti Sri , Aryekti Kanthi 
Published: November 2018

AbstrakPenelitian ini bertujuan mengetahui: (1) kondisi lansia di Daerah Istimewa Yogyakarta (DIY) berdasarkan lima dimensi, yaitu fisik, psikologis, mental, spiritual, sosial kemasyarakatan, dan pengembangan potensi. (2) tingkat peduli masa depan lansia di DIY. Sampel penelitian ini ditentukan secara purposive sampling, dengan pertimbangan wilayah yang berpartisipasi dalam penilaian lomba kelompok Bina Keluarga Lansia (BKL) Tahun 2014. Pengumpulan data melalui observasi, wawancara, dan dokumentasi. Analisis data dilakukan secara deskriptif kuantitatif. Hasil penelitian: (1) Kondisi lansia di DIY: (a) dimensi fisik dan psikologis termasuk kategori sedang, baik peserta BKL maupun non peserta BKL. Kondisi ini dijumpai pada semua kabupaten/kota, kecuali peserta BKL Kabupaten Gunungkidul termasuk kategori tinggi, (b) dimensi mental spiritual, sosial kemasyarakatan, dan pengembangan potensi termasuk kategori tinggi, baik lansia peserta BKL maupun non peserta BKL, pada semua kabupaten/kota DIY. (2) Tingkat kepedulian lansia pada masa depannya berada pada kategori tinggi, baik peserta BKL maupun non peserta BKL. Tingkat peduli masa depan lansia di kabupaten/kota juga berada pada kategori tinggi, kecuali Kota Yogyakarta (lansia peserta BKL) dan Kabupaten Kulonprogo (lansia non peserta BKL) kategori sedang. Kata kunci: lansia, peduli masa depan, Daerah Istimewa Yogyakarta