bluuebunny/crossref_metadata_2025_split huggingface dataset:
Systematic approach for enrichment of docking outcome using consensus scoring functions
Authors: Naga Madhavilatha K , Rama Mohan Babu G 
Published: June 2019

AbstractTraditional drug discovery is an expensive and time consuming process. Pharmaceutical industry suffers from a huge attrition due to last stage failure in traditional drug discovery. Bioinformatics principles can be utilized to overcome this pressure and speedup the process of drug discovery. Computer aided drug design is a remedy to avoid this loss. Drug design means designing the ligand that has high affinity towards target protein. This can be achieved by Virtual Screening. Ligand based virtual screening utilizes information from the ligand about the target. It is a ligand centric approach. The availability of three dimensional structures of protein targets and their possible ligands are utilized for identification and optimization of lead molecules (positive hits) in Structure based virtual screening. It is a target centric approach. To find out fit poses of ligand and its affinity at the active site of target Molecular Docking is done. Molecular docking is tool that contains search algorithm and scoring function. Search algorithms predict the binding modes of a target and fit ligand conformations towards the target. Scoring function is involved in prediction of the affinity of a ligand to bind to a protein target. There are various plat forms and scoring functions for predicting ligand – protein interactions. Consensus Scoring is a technique of combing information from multiple scoring functions and gives relatively accurate result when compared to single scoring function. It shows improvement in terms of quality of hit scores, false positive rate and enrichment. Consensus Scoring gives better, accurate and consistent results across the receptor systems when compared to individual or single scoring functions.
Super Resolution Image Reconstruction Using Iterative Regularization Method and Feed –Forward Neural Networks
Authors: Ganesh Babu M , Sekhar Panda Sudam , Bandela Homer Benny 
Published: June 2019

Abstract
Super resolution is one of the best existing procedures to acquire high resolution image due to its effortlessness and extensive variety of use in numerous fields of science and engineering. There are various methods exist for super resolution but, this work made an effort by combining the iterative regularization method with neural network and obtained a good result comparatively from the previous method because of its high compatible nature with less and user friendly approach. It takes care of the noise in the initial stage and gets a concrete result when neural network is introduced. In addition to the noise it controls the vulnerable parameters and gets a highly super resolution image as compare to the literature.
RETRACTED: A review on bioinformatics using data mining techniques
Authors: Naga Deepthi P , Anitha Raju , Swathi K 
Published: June 2019

Abstract
Bioinformatics alludes to the accumulation, grouping, storage and the investigation of biochemical and organic information. It uses PCs particularly, as executed toward sub-atomic hereditary qualities and genomics. Data mining is utilized to extract the data from a lot of information. Data mining comprise of two models, they are predictive and descriptive. Managing data intends to assemble data into an arrangement of classes either with the end goal to learn new antiquities or see new domains. For this reason specialists have dependably searched for the shrouded examples in information that can be characterized and contrasted and other known thoughts dependent on the comparability or disparity of their credits as indicated by all around characterized rules. We have shown the overview of different information digging algorithms for the combination of different examination instruments material specifically explore errands. There is no particular clustering algorithm, however different algorithm are used dependent on domain of information that establishes a group and the level of proficiency required. Clustering techniques are classified dependent on various methodologies. This paper is a review of few clustering methods out of numerous in data mining. The Clustering techniques which have been reviewed are: K-medoids, Fuzzy C-means, K-means, Density-Based Spatial Clustering of Applications with Noise and Self-Organizing Map grouping. This paper overviewed the some algorithm gives the best outcome. The scientists utilized diverse arrangement algorithm in which are to be specific K-Nearest Neighbor classifiers, Artificial Neural Networks, Bayesian system, Decision tree, Support Vector Machine.
A new dynamic and enhanced resource allocation algorithm in cloud computing
Authors: Satya Nagamani T , Vijaya Lakshmi K N V S K , Lalitha Bhavani B 
Published: June 2019

Abstract
One of the testing issues in Cloud data centers is to take the segment and relocation of reconfigurable virtual machines into thought and moreover the joined features of facilitating physical machines. We present a dynamic resource assignment framework (DRAM) for Cloud data centers. Dissimilar to customary stack balance arranging calculations which consider only a solitary factor, for instance, the CPU stack in physical servers, this strategy treats CPU, memory and framework information transmission composed for both physical machines and virtual machines. We create joined estimation for the all out irregularity dimension of a Cloud data center and furthermore the ordinary disproportion dimension of each server. Reproduction results show that DRAM has great execution as of indicate abnormality level, normal ponderousness dimension of each server, too as in general running time.
A dynamic data classification techniques and tools for big data
Authors: Usha Rani T , Sindhu Priyanka CH , Monica B S S 
Published: June 2019

Abstract
Big Data is an immense term for working with the large volume and complex data sets. While data set is larger in volume and the conventional processing applications are insufficient subsequently distributed databases are needed. Big data came into reality because the earlier technologies are not able to carry such large amount of data from self-governing sources. To find the important and accurate data from large unstructured data is going to be a difficult task for any user. This is the reason why the classification technique came into picture for big data. With the help of these classification methods unstructured data can be turned into organized form as a result that any user can access the required data easily. These classification techniques can be applied over the big transactional databases to provide data services to users from huge volume of data sets. Classification is one of the aspects of machine learning and there are basically two broad categories one is supervised and other one is unsupervised classification. In this project we worked to study the variants of supervised classification methods upon we discuss some of the tools or frame works to perform classification. For each algorithm we discuss about their advantages and limitations.
A Survey Paper on Frequent Itemset Mining
Authors: Sastrt J S V R S , Suresh V. 
Published: June 2019

Abstract
High utility itemsets (HUIs) mining is A creation worry in records mining, that understands finding all itemsets having AN application total a customer demonstrated least programming viewpoint min_util. Visit sets see an imperative portion of in an extremely couple of measurements driving undertakings that decide to peer intriguing purposes of concentrate from databases, like connection guidelines. The mining of connection guidelines is one all educated the basic paying practically no personality to what you show up as though at it issues with those. Move out of mining from a static dealings dataset, the spilling case has liberally additional actualities to search for when and incomprehensibly reasonably essential diverse nature to facilitate. In-visit matters can convey to a close go to some time later thus can’t be overlooked. For the term of this paper we keep an eye on present day situation with obtaining for Frequent Itemset Mining estimations. The outline signally information the deficiencies of the open estimations for HUI and proposes specific picks to overcome the flaws.
Mining Specific Content Search using Clustering Algorithm
Authors: Rathishbabu TKS , Anantha Krishna V. , Ramasubramanian M. , Balaji V. 
Published: June 2019

Abstract
Overdue problems in information recovery are diagnosed with records in casual corporations and wealthy media content fabric. inside the ones cases, the substance is associated with multilingual, purchaser created views and substance, adaptability, strength and flexibility to mistakes. The graphical model learns is possibly a hopeful term is to be an difficulty term simply as how likely phrases are to be assembled collectively in an inquiry function, and catches the situations among the two elements. Proposed framework upgraded the past work to live faraway from duplication of comparative internet site on line via way of net page parsing and examination of web web page content material fabric. We suggest a bunching calculation is correctly have an effect on the two wonders to therefore mine the foremost subtopics of questions wherein each subtopic is spoken to via a set containing diverse URLs and key terms.moreover brief and gifted ordering and looking administrations are required, for you to scale advanced substance dissemination and video on interest, in which excellent degree of inquiries and substance related errands are done via customers. to assess the span of a hid database, on instinctive concept is to perform topple checking out.
Adopting information system security services in online clothing marketing system using rup methodology under php
Authors: Long Lim Jin , Eaganathan Umapathy , Sabri Nor Afifah Binti 
Published: June 2019

Abstract
In this sophisticated era of globalization, people are more preferring to shop through online easily. Online consumers are constantly presented with situations in various types of web security vulnerabilities. Eventually web applications not able to meet the expected target then business will become negative. However this paper dealt about Online Clothing Marketing System and it will be a standalone web application which allows users to securely purchase clothes online. The primary features of this website allowing users to securely purchase product online by validating the customer input with multiple layers of validation. Also, there will be data transaction between client and server taking place through encryption algorithm, secure socket layer, password hashing and captcha verification. The process followed in captcha will be implemented to encrypt the whole data transaction process to ensure the security level of the system. Hence, through this web application, problems will be reduced with a great quality and can able to reduce the attackers from stealing the information.
Improving the method of implementing the accelerometer for mobile
Authors: Adellin Riannatta , Khuan Chen Tet , Gertrude Leo David 
Published: June 2019

Abstract
The introduction of Yogyakarta Culinary game is a game with Indonesia theme with the aim to introducing Indonesia culinary especially focused into Yogyakarta region. A many of tourist from local or foreign country just known culinary that exist and famous in Yogyakarta only Gudeg and Bakpia. This research managed to build a game that can help introduced the other culinary interestingly. This game tested on usability and also Accelerometer sensory used to make character movements. Based on testing which is conducted a people who play the game can be concluded that game is easy to use even tough still have a minor weakness inside the game.
Report of Physalis angulata L. from Madura: Quality Profile
Authors: Sholehah D N , Setiawan E 
Published: June 2019

AbstractPhysalisis one of the annual indigenous herbaceous which has many benefits as traditional medicine. This study aimed to determine the content of citric acid, flavonoids, sugar content, chlorophyll and fiber of 2 genotypesPhysalisfrom Madura. The study was designed using nonfactorial completely randomized design withPhysalisgenotype as treatment, i.e., CM 1 (genotype of MaduraPhysalis1) and CM 2 (genotype of MaduraPhysalis2). The results showed that genotypePhysalisMadura 1 contains higher citric acid, flavonoids, and sugar content. Whereas, the content of chlorophyll and fiber was lower. Citric acid contents were ranged from 0.06 to 0.36%, sugar levels 9.6-14.6 °Brix, flavonoid level 37.6-118.6 mg.100 g−1and fiber content range from 0.58 to 1.41%. Genotype CM1 is recommended genotype as a source of chemical content for medicinal used especially in Madura Region with a dry condition.
The Influence of Nutritional Knowledge on Nutritional Status and Physical Performance in Young Female Athletes
Authors: Merawati Desiana , Sugiharto  , Andiana Olivia , Susanto Hendra , Taufiq Ahmad 
Published: June 2019

Abstract
The excellent level of nutritional knowledge for female younger athletes is one of the strategies to enhance achievement and to improve the satisfaction level on body image. Therefore, this research aimed at revealing nutritional knowledge, eating behavior, nutritional status and physical performance on female younger athletes involving samples of 129 young female athletes with the age range of 12-19 years old from 27 sports branches. The data collection was conducted using survey and measurement methods. The survey was carried out to explore the nutritional knowledge, eating behavior, and body image. Nutritional status was measured using body mass index measurement, while the physical performance was measured using maximum oxygen volume (VO2 max) and Balke test. Based on the research results, the level of nutritional knowledge of the most critical nutritional element of 70% of the samples was carbohydrate, and 64% of them was protein; 5% of the samples had undernutrition status; 5% of the samples had overnutrition status; 50% of the samples had poor eating behavior; 6% of the samples had bad eating behavior; 77% of the samples were not satisfied with the body image; and their average of VO2 max was 35 mL/kgBW/minute. Based on the research results, it can be concluded that on average, young female athletes experience multiple nutritional problems, poor eating behavior, and have self-conflicts related to body image and performance as poor-category athletes.
Comparative Structural Properties of Nanosized ZnO/Fe3O4 Composites Prepared by Sonochemical and Sol-Gel Methods
Authors: Nurul Ulya Habibatun , Taufiq Ahmad , Sunaryono  
Published: June 2019

Abstract
In this research, the synthesis of ZnO/Fe3O4 nanocomposites was conducted using sonochemical and sol-gel methods as well as natural materials as the primary raw material. The results of X-ray diffraction data analysis showed that the synthesis of nanocomposite used sonochemistry method which resulted in the sample with ZnO and Fe3O4 phases without the presence of the others. Interestingly, the sol-gel method resulted in a sample with ZnFe2O4 and α-Fe2O3 phases without the presence of ZnO. This case happened since Zn formed oxide compound in the form of spinel zinc ferrite. By using the Scherrer equation, the crystallite sizes were of about 7.5 nm for Fe3O4, 25.5 nm for ZnO, 13.6 nm for α-Fe2O3, and 11.6 nm for ZnFe2O4. The elemental compositions of the sample as the synthesis using sonochemical method were 33.08% for Fe and 66.91% for Zn. Meanwhile, the elemental compositions of the sample as the result of synthesis using the sol-gel method were 58.25% or Fe and 41.75% for Zn. Moreover, the infra-red spectrum showed that the functional group of the Fe3O4 phase was observed on the wavenumber of 550 cm−1 and 676 cm−1; the functional group of ZnO phase was found on the wavenumber of 433 cm−1; the functional group of α-Fe2O3 was detected on the wavenumber of 479 cm−1 and 551 cm−1; and the functional group of ZnFe2O4 was recorded on the wavenumber of 526 cm−1. Thereby, the sonochemical method in this study provides a new alternative in the synthesis of ZnO/Fe3O4 nanocomposite using natural material as the primary raw material.
Amplification and Analysis of Rbcl Gene (Ribulose-1,5-Bisphosphate Carboxylase) of Clove in Ternate Island
Authors: Nurhasanah  , Sundari  , Papuangan Nurmaya 
Published: June 2019

Abstract
DNA Barcoding is recommended as a tool for identifying and confirming species within the taxonomy framework. The rbcL gene is the barcode DNA for plant species. Ternate Island is one of clove plantation center in North Maluku. The diversity and productivity of cloves on the Ternate island known since in earlier times. This study has a purpose to amplify the rbcL gene in clove plants collected from clove plantations of communities in Ternate island. Isolation of total DNA carried out with using ZymoBiomic (Zymo Research DNA Extraction) Kit from leaves tissue, then DNA specimen is amplified based on rbcL gene with forwarding sequence rbcLaF 5′-ATG TCA CCA CAA ACA GAG ACT AAA GC-3′ and reverse sequence is rbcLaR 5′-GTA AAA TCA AGT CCA CCR CG-3′. The results showed that the specimen was successfully amplified with an amplicon size of 600 bp. Furthermore, BLASTN analysis results note that the sequence has a similarity of 99% with Syzygium cumini vc. J.R. Abbott 23676 (FLAS) ribulose-1,5-bisphosphate carboxylase large subunit (rbcL) gene, but phylogenetically the precise position of sample could not found because the limitation of rbcL gene.
A Study on the Characteristics of Spatial and Temporal Evolution of Ozone Pollution in Chengdu (2014 - 2016)
Authors: Liu Hefan , Song Danlin , Huang Fengxia , Lu Chengwei , Zhang Xin 
Published: June 2019

Abstract
This study conducted an in-depth research on the characteristics of spatial and temporal evolution of ozone pollution by analyzing the 2014-2016 observation data from the state-controlled monitoring sites of ambient air quality in Chengdu. The result shows 1) that the 90th Percentile Daily Maximum 8-Hour Average O3 Concentrations of Chengdu in 2014, 2015 and 2016 are 147μg/m3, 183μg/m3 and 167μg/m3, respectively; 2) that the trends of concentration change of O3 at the seven state-controlled monitoring sites for assessment of the air quality of Chengdu are exactly matched, i.e. unimodal distribution, high during the daytime and low at night with hourly minimum concentration of O3 that is 5~8 μg/m3; 3) that there is a rather obvious negative correlation between NO2 and O3 and that the correlation coefficient ranges from -0.931 to -0.565; and 4) that the ozone pollution in the west of Chengdu is more serious than that in the east of Chengdu in general and that the more serious the pollution is, the bigger the area with high concentration of O3 is.
Development of a Low Cost Miniature Device for High Spatial, Distributed Monitoring of Aerosol Optical Depth for Regional Level Microclimatic Studies
Authors: Kaul D. S. , Gajjar H. , Jai Devi J. , Kandya A. 
Published: June 2019

Abstract
Air pollution becomes severe when air contains small particles, toxic gases, dust and smoke emitted from numerous sources such as vehicles, industries, fires or fumes in harmful amount. Aerosols of highly reflective in nature increases albedo of the earth and thereby cools the surface and thus effectively offsets greenhouse gases warming by about 25-50%; whereas, absorbing type of aerosols absorbs solar radiation hence increases the surface temperature. Absorbing type aerosols are largely present in the urban environment due to presence of relatively larger number of vehicular fleet and subsequent more fossil fuel combustion than in rural area. Excessive inhalation of particulate matter is detrimental to human health as it can lead to asthma, lung cancer and cardiovascular diseases. Thus, it becomes essential to monitor aerosols accurately using affordable device having widespread presence and potential to address the related problematic issues. One of the important parameters in aerosol measurement is aerosol optical depth (AOD). Several instruments and techniques are used to measure AOD such as with satellite and ground based sun-photometry, ground and airborne radiometers and LIDARs which are generally costly and non-portable. Hence, an effort has been made to develop an affordable sun photometer using photo-detectors and light filters which will track the sun automatically and retrieve AOD of that location. Device measurement thus built has been correlated with standard instrument measurement like Microtops Sunphotometer
Monitoring of Benzene in an Ambient Air on the Roadside at Udon Thani of Thailand
Authors: Wongaree M , Choo-In S 
Published: June 2019

Abstract
Vehicles of Transportation in the urban area was the major source of benzene emission that caused to effect on human health and air quality. A monitoring air quality in an ambient air was designed and sampling of benzene level on the roadside in Udon Thani province from May 2018 to October 2018. The samples of the air were collected at different five sites from the roadside of a traffic jam, namely hospital, university, shopping mall, park, and market. Benzene was sampling by activated charcoal tubes and analyzed by GC-FID. Total Benzene concentration at roadside sites ranged in our study from 0.004±0.0017 to 2.120±2.519 mg/m3. The higher traffic volume and traffic congestion on the roadside of the university leads to remarkably higher benzene concentration (1.260±2.418 mg/m3) than that of other sites indicating the stronger contributions from benzene emissions. The results of source apportionment were highly consistent with the vehicles compositions, strongly evidenced that the precise characterization of the vehicles emission sources. The market and park roadside were clean with daily benzene concentrations below 0.001mg/m3. The daily benzene concentrations in the shopping mall and hospital roadsides were 0.939±0.298 mg/m³ and 0.739±1.808 mg/m3, respectively. The average benzene was 0.588±0.862 mg/m3 that was higher than the range reported in other cities. This indicates that the benzene on roadsides was equivalent and acceptable for daily outdoor benzene monitoring. The information of this study complements the air pollution database regarding the vehicle emission sources in Udon Thani of Thailand.
Investigation on Heavy Metal Pollution Risk of Sediment in a Human-disturbed River, China
Authors: Huang Senjun , Wei Jun , Chen Qiuwen , Zheng Heng , Xu Jianqiang , Zhao Wei 
Published: June 2019

Abstract
Analysis of heavy metal pollution in sediment is of importance to water treatment. In the present study, borehole columnar sediment samples with 3~4 m thickness from 86 points along Maozhou River were collected to determine the concentrations of six main metal elements (Cu, Cr, Cd, Pb, Zn, Ni) using plasma direct reading spectroscopy. Then, the vertical distribution of heavy metal among sediment is revealed. What’s more, the pollution risk levels at different depths are determined by potential ecological risk index. The heavy metal source is also discussed through correlation analysis between different heavy metal elements. The result of this study provide valuable reference for dredging depth determination as well as treatment of malodorous black water body.