bluuebunny/crossref_metadata_2025 huggingface dataset:
Sentiment Analysis of the Indonesian Police Mobile Brigade Corps Based on Twitter Posts Using the SVM And NB Methods
Authors: Pratama Bryan , Saputra Dedi Dwi , Novianti Deny , Purnamasari Endah Putri , Kuntoro Antonius Yadi , Hermanto  , Gata Windu , Wardhani Nia K , Sfenrianto Sfenrianto , Budilaksono Sularso
Published: June 2019

The Brimob Corps is a special police force, just like the special military detachments held by the TNI such as Paskhas and so on. At present brigade corps police national is busy being discussed in the real world and cyberspace, especially on social media twitter. Many opinions about the brigade corps police national so there are positive and negative opinions. Social media twitter is now one places to spread information about brigade corps police national. This study cases uses text mining techniques with support vector machine (SVM) method which aims to classify public sentiments towards brigade corps police national on twitter. The dataset used is tweet in Indonesian with keyword “Brimob” with a total dataset of 1000 tweets. Text mining, transform, tokenize, stemming, and classification, etc. techniques are useful for building classification and analysis of sentiment. RapidMiner and Gataframework are also used to help create sentiment analysis to measure classification values. Accuracy values obtained with support vector machine (SVM) approach 86,96%, with precision values of 86,96%, and recall values of 86,96%.
Electrocardiogram Feature Recognition Algorithm with Windowing and Adaptive Thresholding
Authors: Purnama S I , Kusuma H , Sardjono T A
Published: June 2019

Heartbeat abnormalities of human body can be diagnosed by observing electrocardiogram (ECG) signal. Traditional methods of analyzing ECG signals to determine a person’s abnormality are based on the expertise of cardiologists, where sometimes multiple interpretations or misinterpretations of the disorder occur. The development of pattern recognition methods nowadays have rapidly advanced so that make it possible to be applied to ECG signal. Certain feature of ECG required for pattern recognition are P, Q, R, S and T signals. In this paper, we propose a pattern recognition method for ECG features by using adaptive threshold to find P, Q, R, S, and T position. First, we find R signal defined by local peaks, P and T signal which are defined by maximum value from a specific window, S signal defined by local valleys of the ECG signal and the rest Q signal which is defined by minimum value between P and R signal. Then based on those information, we use 48 ECG signals that contain abnormality and 18 normal ECG signals from physionet database. Experimental results show that the accuracy level of our method to recognize P, Q, R, S and T signals are 96,52%, 95,88%, 96,56%, 98,35%, and 95,88% respectively for both normal and abnormal ECG signal.
Current Trend and Literature on Electronic CRM Adoption Review
Authors: Adlin Faris Nur , Ferdiana Ridi , Fauziati Silmi
Published: June 2019

Electronic Customer Relationship Management (e-CRM) is a collection of processes, concepts, and tools that allow an organization to maximize their e-business applications. The purpose of e-CRM is not only to bring about changes in the area of marketing, but also to improve the company’s efficiency in managing customers, then to increase customer service, safeguard precious customers, and to help provide organizations with analytic capabilities. The various opportunities provided by e-CRM including interactive and improvised customer relationships, managing customers’ touch points and personalization options, even more than that, are a powerful way to gain a competitive advantage. Computer technology including customer profiles, decision support, and data warehouses are all applicable in e-CRM, however, web and computer related development make various additional technologies applicable to e-CRM. Such as voice portals (Interactive Voice Response), bots, virtual customer representatives and web phones (IP Telephony/VoIP). This study provides an analysis and review of e-CRM and its technologies. The 14 papers are the ones that satisfied the inclusion criteria used to select systems for the study. The summary of findings shows that the latest e-CRM technology has its advantages in helping customer service and the benefits of e-CRM from various aspects such as current challenges, developments, comparison between CRM and e-CRM, benefits, impacts, customer relationship, customer satisfaction and the importance of e-CRM. The result of this survey will give future direction to potential.
Item Delivery Simulation Using Dijkstra Algorithm for Solving Traveling Salesman Problem
Authors: Ginting Hagai Nuansa , Osmond Andrew Brian , Aditsania Annisa
Published: June 2019

Companies that contribute to travel have many problems in the process of item delivery. Distances and priorities are considered for a process of item delivery based on the highest priority. A delivery target that can be done one day evidently exceed the expected limit and that is the impact. This is an example of the waste time and operational costs that should be at the same time that two or more addresses can be sent. Traveling Salesman Problem (TSP) was define a classical problem to finding the shortest route that salesman can be passed when visiting several places without visit again in the same place more than once. In this study, TSP requires all calculations of possible routes to be obtained. Then choose one of the shortest routes by prioritizing the things considered, namely distance and priority. Delivery is done quickly through the shortest route according to priority using the Dijkstra algorithm. Simulation shows that the Dijkstra algorithm must be approved by use clustering data for Dijkstra’s priorities and sub-routes to solve TSP problems. Simulation shows that the Dijkstra algorithm must be modified using Dijkstra’s priority clustering and sub-routing to solve TSP problems. The resulting route has an influence between two graphs. Complete graph has a distance efficiency of 47.8% and execution time of 48.1% compared to non-complete graphs.
Dynamic security for multi-user access control in distributed environment
Authors: Jaya Prakash S , Varada Raj Kumar K , Nedunuri Deepak
Published: June 2019

Cloud computing is an on-demand facilities that allows customers to access processing sources and services from anywhere and at any time. Information protection means defending the information from illegal individuals or online hackers. We propose Integrated Group Sharing Approach (IGSA) schema for multiple customer accessibility control in customer operations like information insertion, deletion and in customer cancellation immediately reasoning database integration. We look at the security of IGSA plan and assess with the current IGSA techniques which are used for information access immediately reasoning computing for achieving real-time applications in reasoning. Our experimental results show efficient information removal from multiple customer accessibility in search of information from reasoning server. In future, some protection systems are to be developed to provide protection to cloud.
Systematic approach for enrichment of docking outcome using consensus scoring functions
Authors: Naga Madhavilatha K , Rama Mohan Babu G
Published: June 2019

Traditional 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

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

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

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

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

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

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

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

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

Physalisis 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

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

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

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

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

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

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

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.
Corrosivity in A West Java Reservoir Correlated with Fish Farms and Watershed Runoff
Authors: Tejakusuma Iwan G , Sittadewi Euthalia H , Santoso Eko W , Hijrah K , Yaaresya W K
Published: June 2019

Cirata Reservoir, which has multiple uses including hydroelectric power for Java and Bali, is subject to environmental pressure from fish farms in its waters and human activities upstream. Corrosivity expressed as an index, LSI, was assessed four times yearly in 2013–2017 in the reservoir and in seven tributaries. Fish cages were also counted in the reservoir in 2007, 2011, 2014, 2016, and 2018. In the reservoir, yearly mean LSI in a fish farm area declined overall from - 0.83 to - 1.96 in 2013–2017, but quarterly values in 2015–2016 ranged from - 2.6 to - 0.31. Similarly upstream in the reservoir’s watershed, the yearly mean LSI of seven tributary rivers declined unsteadily in 2013–2017 from - 0.77 to - 1.55, but quarterly LSI during 2015–2016 in the Citarum River, largest tributary, ranged from - 2.4 to +0.68. Although watershed runoff may thus account for the reservoir’s corrosivity, several findings implicate fish farming increase the corrosivity even more. The number of floating net cages for fish culture nearly doubled in the past decade, from 53,031 plots in 2011, through 68,461 plots in 2014 and 77,195 plots in 2017, to 98,397 in 2018. The reservoir was previously estimated to have an environmental carrying capacity of 12,000 plots. Biological oxygen demand tends to increase in the vicinity of floating net cages.
Biochar as An Effective Material on Sediment Remediation for Polycyclic Aromatic Hydrocarbons Contamination
Authors: Chen Z , Chen J , Yang X , Chen C , Huang S , Luo H
Published: June 2019

The mechanism of biochar as capping materials on polycyclic aromatic hydrocarbons (PAHs) removal in river sediments was investigated. When biochar was amended, pyrene was decreased through strengthened aging effects (1.6 times), which was attributed to high adsorption capacity of the biochar. While biochar did not alter the main microbial community, it provided a stable niche for PAHs degradation microorganisms, which attributed to the porosity and biological affinity of biochar. According to the results, biochar increased the opportunity for PAH-degraders to contact PAHs in sediments. When electron acceptors were available, the pyrene-degraders in biochar pore degraded the adsorbed pyrene rapidly (+103%). Therefore, biochar could be an effective material on PAHs removal in sediments.
Investigation of Indoor Air Quality and Identification of Plant’s Capabilities in Removing Air Pollutants in Urban Residential Buildings
Authors: Peng Zhen , Deng Wu , Hong Yuanda
Published: June 2019

Indoor air pollution has been a severe problem in China since the 1970s. Currently, the primary indoor air pollutants are PM2.5 and PM10 in China. This study has investigated the PM performance inside a case study apartment, and the correlations between the indoor PM concentrations and the ambient PM concentrations have been identified and analysed. The results indicated that the indoor PM concentrations could not meet the requirements of the China Indoor Air Quality Standard (GBT18883-2012). The inside particulate matters were mainly originating from the ambient environment. Moreover, plants could reduce the indoor PM concentrations in a stable indoor environment during the unoccupied period, and the cleaning efficiency can be increased by install as many plants as possible into the space.
Low-rise Office Retrofit: Prerequisite for Sustainable and Green Buildings in Shanghai
Authors: Hong Y , Deng W , Ezeh Collins I
Published: June 2019

Commercial buildings comprise of 25% office blocks, largest proportion in commercial sector with highest energy consumption in Shanghai. Nevertheless, the demand for office space is still rising, driven by state-owned enterprises. Unfortunately, these existing buildings are energy inefficient as they barely adapt to present varying climate conditions of the province. Owing to aggravated climate change and rising urbanization rate of Shanghai, attention should be directed towards upgrade of office buildings to meet set sustainable building standards. 3-dimensional spatial characterization using vector topographic mapping posits low-rise buildings account for more than 50% of total buildings in Shanghai. Hence, retrofitting existing low-rise office buildings will significantly contribute to building sustainability. Subsequently, a retrofit package guideline suitable for sporadic energy use mode in rapidly expanding cities like Shanghai should be established. This nascent study postulates an updated correlation between climate change and building energy consumption in Shanghai. Based on the postulation, it is recommended that the best energy conserving building retrofit package is that which can mitigate the impact of both societal factors (like urbanization rate) and climate change to building energy consumption. In general, this study defines a foundation framework for building researchers and decision-makers to effectively evaluate retrofit measures for existing buildings become sustainability in Shanghai.
Recreational Capacity for Forest Tourism. The Case of the Republic of Tatarstan
Authors: Minnikhanov R. , Gafiyatov R. , Musin Kh.
Published: June 2019

The research deals with the assessment of the recreational potential of forests in green areas of cities and towns of the Republic of Tatarstan for forest tourism, as well as development of a system of forest cutting, ensuring the constancy of recreational forest use under conditions of increased recreational impact. The authors determining the recreational potential of plantations and assessed it, and summarized the results of selective logging in pine forests under conditions of increased recreational impact. The recreational potential of forests has been characterized, its assessment has been made, a cutting system has been developed to ensure consistency of recreational forest use in conditions of intensive recreation, a concept has been developed to optimize recreational forest use in green areas of cities of the Republic of Tatarstan. The results of the research may be used for working out the logging system, ensuring the constancy of recreational forest use in conditions of increased recreational loads.
An Improved Low Frequency Oscillation Disturbance Source Localization Method in Control Devices of Generator
Authors: Guo Siyuan , Zhang Shoushou , Zhao Yongsheng , Li Gang , Song Junying
Published: June 2019

In this paper, an improved oscillation disturbance source localization method in control devices of generator is investigated. Using the dominant component of the electrical signals by the fast Fourier transform (FFT), the oscillation energy for governor system and excitation system is obtained separately. Then, based on the direction of the non-periodic component of the oscillation energy for the two systems, the control device level locating of the oscillation disturbance source is realized. Taking the forced power oscillation accident caused by too strong primary frequency modulation as an example, the oscillation energy based on FFT for the two systems show that the proposed method can locate the disturbance source accurately.
Viewing Pictures Triggers Rapid Morphological Enlargement in the Human Visual Cortex
Authors: Månsson Kristoffer N T , Cortes Diana S , Manzouri Amir , Li Tie-Qiang , Hau Stephan , Fischer Håkan
Published: June 2019

Measuring brain morphology with non-invasive structural magnetic resonance imaging is common practice, and can be used to investigate neuroplasticity. Brain morphology changes have been reported over the course of weeks, days, and hours in both animals and humans. If such short-term changes occur even faster, rapid morphological changes while being scanned could have important implications. In a randomized within-subject study on 47 healthy individuals, two high-resolution T1-weighted anatomical images were acquired (á 263 s) per individual. The images were acquired during passive viewing of pictures or a fixation cross. Two common pipelines for analyzing brain images were used: voxel-based morphometry on gray matter (GM) volume and surface-based cortical thickness. We found that the measures of both GM volume and cortical thickness showed increases in the visual cortex while viewing pictures relative to a fixation cross. The increase was distributed across the two hemispheres and significant at a corrected level. Thus, brain morphology enlargements were detected in less than 263 s. Neuroplasticity is a far more dynamic process than previously shown, suggesting that individuals’ current mental state affects indices of brain morphology. This needs to be taken into account in future morphology studies and in everyday clinical practice.
Modeling Impacts of Bark Beetle Infestations on Forest Visitor Experiences and Intended Displacement
Authors: Schneider Ingrid E , Arnberger Arne , Cottrell Stuart P , von Ruschkowski Eick
Published: June 2019

Bark beetle outbreak impacts are occurring at reportedly unprecedented levels. Despite previous research on the aesthetic and economic impacts of terrestrial pest infestations, minimal visitor behavioral response research exists. As beetle infestation progresses, both tree appearance and landscape change can negatively impact visitation and visitor revenue. Given the multiple-use mandate of most forests, this lack of research is surprising. To meet this gap, this study simulated impacts of varied beetle outbreak levels, management approaches, and visitor characteristics on interference with forest visitors’ experience and intended displacement. Visitors at two forested US state park study sites, one with significant bark beetle impact and the other with much less, responded to onsite questionnaires with digitally calibrated photos depicting a variety of beetle-impacted forest scenarios. Up to 80 percent of visitors indicated forest scenarios with significant bark beetle impact would interfere with their experience, and 70 percent reported they would not visit or be displaced. Analyses revealed forest fore- and midground conditions with varying levels of impact significantly predicted both experience interference and displacement. The relative importance of social, biophysical, and managerial conditions differed between models. Results inform management and planning efforts as well as advance understanding of the biophysical and social factors influencing interference and intended displacement.
Double-strand breaks in ribosomal RNA genes activate a distinct signaling and chromatin response to facilitate nucleolar restructuring and repair
Authors: Korsholm Lea M , Gál Zita , Lin Lin , Quevedo Oliver , Ahmad Diana A , Dulina Ekaterina , Luo Yonglun , Bartek Jiri , Larsen Dorthe H
Published: June 2019

The nucleolus is a nuclear sub-domain containing the most highly transcribed genes in the genome. Hundreds of human ribosomal RNA (rRNA) genes, located in the nucleolus, rely on constant maintenance. DNA double-strand breaks (DSBs) in rRNA genes activate the ATM kinase, repress rRNA transcription and induce nucleolar cap formation. Yet how ribosomal-DNA (rDNA) lesions are detected and processed remains elusive. Here, we use CRISPR/Cas9-mediated induction of DSBs and report a chromatin response unique to rDNA depending on ATM-phosphorylation of the nucleolar protein TCOF1 and recruitment of the MRE11–RAD50–NBS1 (MRN) complex via the NBS1-subunit. NBS1- and MRE11-depleted cells fail to suppress rRNA transcription and to translocate rDNA into nucleolar caps. Furthermore, the DNA damage response (DDR) kinase ATR operates downstream of the ATM-TCOF1-MRN interplay and is required to fully suppress rRNA transcription and complete DSB-induced nucleolar restructuring. Unexpectedly, we find that DSBs in rDNA neither activate checkpoint kinases CHK1/CHK2 nor halt cell-cycle progression, yet the nucleolar-DDR protects against genomic aberrations and cell death. Our data highlight the concept of a specialized nucleolar DNA damage response (n-DDR) with a distinct protein composition, spatial organization and checkpoint communication. The n-DDR maintains integrity of ribosomal RNA genes, with implications for cell physiology and disease.
The SOXE transcription factors—SOX8, SOX9 and SOX10—share a bi-partite transactivation mechanism
Authors: Haseeb Abdul , Lefebvre Véronique
Published: June 2019

SOX8, SOX9 and SOX10 compose the SOXE transcription factor group. They govern cell fate and differentiation in many lineages, and mutations impairing their activity cause severe diseases, including campomelic dysplasia (SOX9), sex determination disorders (SOX8 and SOX9) and Waardenburg-Shah syndrome (SOX10). However, incomplete knowledge of their modes of action limits disease understanding. We here uncover that the proteins share a bipartite transactivation mechanism, whereby a transactivation domain in the middle of the proteins (TAM) synergizes with a C-terminal one (TAC). TAM comprises amphipathic α-helices predicted to form a protein-binding pocket and overlapping with minimal transactivation motifs (9-aa-TAD) described in many transcription factors. One 9-aa-TAD sequence includes an evolutionarily conserved and functionally required EΦ[D/E]QYΦ motif. SOXF proteins (SOX7, SOX17 and SOX18) contain an identical motif, suggesting evolution from a common ancestor already harboring this motif, whereas TAC and other transactivating SOX proteins feature only remotely related motifs. Missense variants in this SOXE/SOXF-specific motif are rare in control individuals, but have been detected in cancers, supporting its importance in development and physiology. By deepening understanding of mechanisms underlying the central transactivation function of SOXE proteins, these findings should help further decipher molecular networks essential for development and health and dysregulated in diseases.
Dolutegravir Cerebrospinal Fluid Diffusion in HIV-1–Infected Patients with Central Nervous System Impairment
Authors: Gelé Thibaut , Furlan Valérie , Taburet Anne-Marie , Pallier Coralie , Becker Pierre-Hadrien , Goujard Cécile , Gasnault Jacques , Barrail-Tran Aurélie , Chéret Antoine
Published: June 2019

This study aimed to determine dolutegravir cerebrospinal fluid (CSF) diffusion in 13 patients with HIV-related cerebral impairment enrolled in a real-life observational study. Dolutegravir median (range) CSF concentration [9.6 (3.6–22.8) ng/mL] reached CSF therapeutic concentrations whatever the blood-brain barrier status and diffused in correlation with the albumin quotient (P = .0186).
Full Percutaneous Transforaminal Lumbar Interbody Fusion Using the Facet-sparing, Trans-Kambin Approach
Authors: Morgenstern Christian , Yue James J. , Morgenstern Rudolf
Published: June 2019

Study Design:

This was a prospective, multicenter, consecutive case series’ study.

Objective:

The objective of this study was to evaluate a novel facet-sparing, percutaneous transforaminal lumbar interbody fusion (pTLIF) technique consisting of percutaneous insertion of an expandable interbody cage through an endoscopic cannula with the trans-Kambin approach and complemented with percutaneous transpedicular screws and rods.

Summary of Background Data:

Lumbar interbody fusion by open or minimally invasive surgery is the usual treatment for degenerative disk disease but requires a relatively long recovery period. The transforaminal trans-Kambin approach is a standard in endoscopic spine surgery for safe intradiscal access without facet resection.

Methods:

Preoperative and postoperative Visual Analogue Scale (VAS) and Oswestry Disability Index scores were quantitatively assessed at 1, 3, 6, and 12 months after surgery and then every 12 months for patients treated with pTLIF between 2009 and 2018 in 2 health care centers. An immediate postoperative control computed tomography scan was performed, whereas conventional postoperative x-ray controls were performed at 1 month and 1 year. Statistical evaluation was performed with the Student t test.

Results:

A total of 51 patients (mean age, 59.3 y) were evaluated. The overall mean VAS score for axial lumbar pain improved from 6.6 to 1.8 (P<0.01), mean VAS score for leg pain from 5.5 to 1.2 (P<0.01), and mean Oswestry Disability Index scores from 30.3 to 11.8 (P<0.01) postoperatively with a mean follow-up of 27.9 months (range, 1–77.8 mo). Median estimated blood loss was 103.6 mL. Postoperative complications included 12 (22%) cases with transitory ipsilateral dysesthesia, 2 (4%) cases with transitory ipsilateral muscle weakness, and 3 (6%) clinically asymptomatic cases with radiologic cage subsidence. Median hospital stay was 1.4 days (range, 1–3.2 d).

Conclusions:

Postoperative scores for pTLIF significantly improved with minimal blood loss and no long-term complications. On the basis of this experience, the facet-sparing pTLIF is a reliable and safe technique with early hospital discharge, opening the way to outpatient instrumented spine surgery.

Level of Evidence:

Level III.