bluuebunny/crossref_metadata_2025_split huggingface dataset:
Different isolation approaches lead to diverse glycosylated extracellular vesicle populations
Authors: Freitas Daniela , Balmaña Meritxell , Poças Juliana , Campos Diana , Osório Hugo , Konstantinidi Andriana , Vakhrushev Sergey Y. , Magalhães Ana , Reis Celso A. 
Published: June 2019

ABSTRACTExtracellular vesicles (EVs) are a heterogeneous group of small secreted particles involved in intercellular communication and mediating a broad spectrum of biological functions. EVs cargo is composed of a large repertoire of molecules, including glycoconjugates. Herein, we report the first study on the impact of the isolation strategy on the EV populations' glycosylation profile. The use of different state‐of‐the‐art protocols, namely differential ultracentrifugation (UC), total exosome isolation (TEI), OptiPrepTM density gradient (ODG) and size exclusion chromatography (SEC) resulted in EV populations displaying different sets of glycoconjugates. The EV populations obtained by UC, ODG and SEC methods displayed similar protein and glycan profiles, whereas TEI methodology isolated the most distinct EV population. In addition, ODG and SEC isolation protocols provided an enhanced EV glycoproteins detection. Remarkably, proteins displaying the tumour‐associated glycan sialyl‐Tn (STn) were identified as packaged cargo into EVs independently of the isolation methodology. STn carrying EV samples isolated by UC, ODG and SEC presented a considerable set of cancer‐related proteins that were not detected in EVs isolated by TEI. Our work demonstrates the impact of using different isolation methodologies in the populations of EVs that are obtained, with consequences in the glycosylation profile of the isolated population. Furthermore, our results highlight the importance of selecting adequate EV isolation protocols and cell culture conditions to determine the structural and functional complexity of the EV glycoconjugates.
Resolution modeling in projection space using a factorized multi-block detector response function for PET image reconstruction
Authors: Xu Hancong , Lenz Mirjam , Caldeira Liliana , Ma Bo , Pietrzyk Uwe , Lerche Christoph , Shah N Jon , Scheins Juergen 
Published: June 2019

Abstract
Positron emission tomography (PET) images usually suffer from limited resolution and statistical uncertainties. However, a technique known as resolution modeling (RM) can be used to improve image quality by accurately modeling the system’s detection process within the iterative reconstruction. In this study, we present an accurate RM method in projection space based on a simulated multi-block detector response function (DRF) and evaluate it on the Siemens hybrid MR-BrainPET system. The DRF is obtained using GATE simulations that consider nearly all the possible annihilation photons from the field-of-view (FOV). Intrinsically, the multi-block DRF allows the block crosstalk to be modeled. The RM blurring kernel is further generated by factorizing the blurring matrix of one line-of-response (LOR) into two independent detector responses, which can then be addressed with the DRF. Such a kernel is shift-variant in 4D projection space without any distance or angle compression, and is integrated into the image reconstruction for the BrainPET insert with single instruction multiple data (SIMD) and multi-thread support. Evaluation of simulations and measured data demonstrate that the reconstruction with RM yields significantly improved resolutions and reduced mean squared error (MSE) values at different locations of the FOV, compared with reconstruction without RM. Furthermore, the shift-variant RM kernel models the varying blurring intensity for different LORs due to the depth-of-interaction (DOI) dependencies, thus avoiding severe edge artifacts in the images. Additionally, compared to RM in single-block mode, the multi-block mode shows significantly improved resolution and edge recovery at locations beyond 10 cm from the center of BrainPET insert in the transverse plane. However, the differences have been observed to be low for patient data between single-block and multi-block mode RM, due to the brain size and location as well as the geometry of the BrainPET insert. In conclusion, the RM method proposed in this study can yield better reconstructed images in terms of resolution and MSE value, compared to conventional reconstruction without RM.
Ultra-cold single-atom quantum heat engines
Authors: Barontini Giovanni , Paternostro Mauro 
Published: June 2019

Abstract
We propose a scheme for a single-atom quantum heat engine based on ultra-cold atom technologies. Building on the high degree of control typical of cold atom systems, we demonstrate that three paradigmatic heat engines—Carnot, Otto and Diesel—are within reach of state-of-the-art technology, and their performances can be benchmarked experimentally. We discuss the implementation of these engines using realistic parameters and considering the friction effects that limit the maximum obtainable performances in real-life experiments. We further consider the use of super-adiabatic transformations that allow to extract a finite amount of power keeping maximum (real) efficiency, and consider the energetic cost of running such protocols.
Velocity distribution of driven granular gases
Authors: Prasad V V , Das Dibyendu , Sabhapandit Sanjib , Rajesh R 
Published: June 2019

Abstract
The granular gas is a paradigm for understanding the effects of inelastic interactions in granular materials. Kinetic theory provides a general theoretical framework for describing the granular gas. Its central result is that the tail of the velocity distribution of a driven granular gas is a stretched exponential that, counterintuitively, decays slower than that of the corresponding elastic gas in equilibrium. However, a derivation of this result starting from a microscopic model is lacking. Here, we obtain analytical results for a microscopic model for a granular gas where particles with two-dimensional velocities are driven homogeneously and isotropically by reducing the velocities by a factor and adding a stochastic noise. We find two universal regimes. For generic physically relevant driving, we find that the tail of the velocity distribution is a Gaussian with additional logarithmic corrections. Thus, the velocity distribution decays faster than the corresponding equilibrium gas. The second universal regime is less generic and corresponds to the scenario described by kinetic theory. Here, the velocity distribution is shown to decay as an exponential with additional logarithmic corrections, in contradiction to the predictions of the phenomenological kinetic theory, necessitating a re-examination of its basic assumptions.
Loading Effect with Distributed Generation (DG) Injection on Distribution System on Temperature and Breakdown Voltage of Oil Transformer in Distributed System
Authors: Dewi Cahya F. , Fahmi Daniar , Yulistya Negara I Made , Asfani Dimas Anton , Mursid Mahirul 
Published: June 2019

Abstract
Increasing of load demand causes the greater electrical power needed. When the transformer operation in overload conditions and hottest-spot temperature, it will accelerate the aging and failure in oil insulation of transformer. Application of distributed generation (DG) can provide the additional electrical power supply to the loads (household). So that, it can relieve the workload power transformer and reduce the acceleration of aging in oil insulation of transformer. This research will analysed the effect of loading capacity with DG injection using a PV generator on the condition of oil insulation on 150 / 20kV of electricity distribution system using ETAP software. Tests of this research are carried out on 24 hours of loading conditions on the distribution system. The calculation of isolation oil temperature was carried out using a mathematical formula according to the IEEE, and oil insulation would be tested with a breakdown voltage (BDV) test.
Hybrid Encryption using Confused and Stream Cipher to Improved Medical Images Security
Authors: Irawan Candra , Moses Setiadi De Rosal Ignatius , Rachmawanto Eko Hari , Sari Christy Atika , Doheir Mohamed 
Published: June 2019

Abstract
The medical image is an image that needs to be protected because it is private and confidential. The more modern technology enables tele surgery, tele diagnosis, and others to demand safe and confidential medical images. This research proposes cryptography method in a medical image by using the combination algorithm of Arnold chaotic map (ACM) and Rivest Cipher 4 (RC4). ACM is a chaotic cryptographic technique superior to attack deferential attack and brute force. The way chaotic cryptography works is to confuse the pixel location. While RC4 is a stream cipher technique that has resistance to statistical attacks and fasts in computing. The purpose of merging these two algorithms is to get stronger encryption techniques, have good performance, and can be computed quickly. Based on the experimental results proved that the use of a combination of these two algorithms can produce satisfactory quality encryption. This is evidenced by several measuring tools such as SSIM, Correlation Coefficient, Entropy, NPCR, UACI, and histogram analysis. Computation time required is also relatively very fast ie less than one second, where computational time is calculated by tic toc function.
Web-based GIS ancestral domain management using pull technology
Authors: Pitogo V 
Published: June 2019

Abstract
The changes made by emerging technologies brought a significant effect on how people deal with everyday living even the least and reserved individuals in the community. In the Philippines, especially the National Commission on Indigenous Peoples (NCIP) a commission empowered to take the necessary protection and preservation of welfare, rights, and culture among IP’s has been affected by this rapid changes, particularly the Ancestral Domains. It has twenty (20) Certified Ancestral Domain Title (CADT’s), two (2) ongoing and CADTiables comprising areas of the Caraga region. Gathering and producing of information has always been a challenge but over the years it was eventually resolved into manually storing and keeping of data into the computer. Time, being an essential factor in the delivery of service to the IP clients and vital in coordination with other agencies, as much as possible the office responds immediately to the needs of the clients by providing them with reliable and accurate data. However, with the current status quo, retrieving files will take time, thus delaying coordination and delaying delivery of service to the clients. A “Web-based GIS Ancestral Domain Management Using Pull Technology” is a response to the pressing needs of the commission to the delivery of service to their clients, a digitized spatial data banking. The system is packed with a variety of technologies such as Mobile, Web, GIS, and other mapping tools and frameworks; scripting languages and database software integrating therein that made it functional. Thus, providing a convenient and efficient way of information generation.
Optimization Substitution Cipher And Hidden Plaintext In Image Data Using LSB Method
Authors: Ariyus Dony , Ardiansyah  
Published: June 2019

Abstract
Cryptography is a way to protect certain messages that have confidential properties or have properties that must be protected from unrelated parties. Substitution techniques have several algorithms such as hill cipher, vigenere cipher, one-time pad and others. This research is a development of previous research that has been carried out many combine substitution techniques. This research combines 4 substitution techniques that have been modified and stored messages that have been hidden into an image with the Least Significant Bit (LSB) algorithm. This research provides additional before the process of standard substitution techniques so that it will provide a more level of security even though the encryption process uses simple techniques and inserts messages into an image with PNG extension using LSB to improve security in messages. This is evidenced by the absence of color differences in the image so that it will not arouse suspicion. However, hex and the size of the image will change. besides this research found that images can only be implemented on social media such as Google+, Telegram, and Google Drive. Because social media like Facebook, WhatsApp, Instagram, and Pinterest will automatically convert, resizing to be smaller than the actual size.
Effect of Information Waste and Technostress on Users Satisfaction and Productivity in STMIK El Rahma Yogyakarta
Authors: Ardiansyah D , Winantu A , Muzakkar M , Praptomo Y , Nurudin I 
Published: June 2019

Abstract

The Academic Information System produces information on academic services. The existence of information that is not in accordance with the needs of users and the use of technology that results in users experiencing pressure in work affects user satisfaction and user productivity. The purpose of this study is: 1. To examine the effect of information waste on user satisfaction and productivity. 2. To test the influence of technostress on user satisfaction and productivity. 3. To test the effect of user satisfaction on productivity. The research method uses explanatory research with a quantitative approach. Samples in the study amounted to 80 which were distributed to users of STMIKElRahma Yogyakarta’s academic information system (SIMAK), which consisted of all lecturers, employees who used and developed SIMAK and students. The distribution of questionnaires was carried out directly to respondents with paper media. Data Analysis using Partial Least Square (PLS) 3.0. The results of the study are as follows: 1. There is a positive and significant influence of information waste on user satisfaction while on productivity there is a positive but not significant effect. 2. There is a positive but not significant effect on Technostress on user satisfaction and productivity. 3. There is a positive but insignificant user satisfaction with productivity
A modification on existing cultural metadata management system to accommodate community-driven and holistic cultural metadata
Authors: Kartawihardja D S , Pee A N C , Zakaria M H 
Published: June 2019

Abstract
Preservation of cultural data is a process that is not only the duty of the government, library, or museum but also needs to involve the community as the main actor of culture itself. Involvement of cultural communities in the preservation process is important because the community has the complete cultural information and is a part in the process of cultural change itself. One aspect that determines data structure in the data management system is the metadata structure. Therefore, a specific cultural metadata management system to determine the cultural data structure and its changes mechanism. Cultural metadata management can be used to determine the depth and structure of data needed in storing cultural data process. Because culture changes over the time, then the metadata should be able to evolve in facing any changes. Various experts have carried various studies related to the cultural metadata management system but do not involve cultural members and cover all cultural elements. Therefore, this paper tries to analyse several studies regarding the process of managing cultural metadata and proposes modifications to existing processes with a community-driven approach and the ability to manage holistic cultural elements.
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.