bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cognate Nonlytic Interactions between CD8+ T Cells and Breast Cancer Cells Induce Cancer Stem Cell–like Properties
Authors: Stein Roland G. , Ebert Stefan , Schlahsa Laura , Scholz Claus J. , Braun Matthias , Hauck Petra , Horn Evi , Monoranu Camelia-Maria , Thiemann Vincent J. , Wustrow Michael P. , Häusler Sebastian F. , Montalbán del Barrio Itsaso , Stüber Tanja N. , Wölfl Matthias , Dietl Johannes , Rosenwald Andreas , Diessner Joachim E. , Wöckel Achim , Wischhusen Jörg 
Published: January 2019

AbstractTargeting of tumor immune escape mechanisms holds enormous therapeutic potential. Still, most patients progress under immune checkpoint blockade and some even become hyperprogressors. To investigate how cancer cells respond to activated but ineffective T cells, we challenged peptide-loaded MCF-7 breast cancer cells with antigen-specific CD8+ T cells in which lytic granules had been destroyed by pretreatment with Concanamycin A. Gene expression analysis after coculture revealed simultaneous induction of PD-L1, IDO1, CEACAM1, and further immunoregulatory checkpoints in breast cancer cells. Strikingly, we further observed gene signatures characteristic for dedifferentiation and acquisition of pluripotency markers including Yamanaka factors. Cognate interaction with nonlytic CD8+ T cells also increased the proportion of stem cell–like cancer cells in a cell-to-cell contact- or (at least) proximity-dependent manner in various cell lines and in primary breast cancer cell cultures; this induction of stem cell–like properties was confirmed by enhanced tumor-forming capacity in immunodeficient mice. Resulting tumors were characterized by enhanced cell density, higher proliferation rates, and increased propensity for lymphoid metastasis. These findings describe a widely underappreciated pathway for immune escape, namely immune-mediated dedifferentiation of breast cancer cells, which is associated with profound changes in gene expression and cellular behavior. As the enhanced malignant potential of cancer cells after nonlytic cognate interactions with CD8+ T cells enables increased tumor growth and metastasis in BALB/cnu/nu mice, the described mechanism may provide a possible explanation for the clinical phenomenon of hyperprogression in response to unsuccessful immunotherapy.Significance:This study shows that ineffective immune responses not only fail to clear a malignancy, but can also activate pathways in cancer cells that promote stemness and tumor-seeding capacity.
Design and Implementation of an Electrical Lift Controlled using PLC
Authors: Hasan Ali Mohammed 
Published: January 2019

<span>This paper represents the possibility of controlling an electrical elevator model using PLC and studying some parameters to ensure its work, this model have been designed and constructed to perform a completed elevator work in an automating technique according to its programming and controlling method that making the connecting much more easier and safer than real relays and complicated wiring method. As well as the small DC motor drive (gear box) electrical motor that used to drive the elevator cabinet which made the transition from floor to floor much smoother and much efficient than the traditional elevators.</span>
BB84 with Both Several Cloning and Intercept-resend Attacks
Authors: Dehmani Mustapha , Salmani El Mehdi , Ez-Zahraouy Hamid , Benyoussef Abdelilah 
Published: January 2019

<p>The goal of the protocol QKD BB84 is to allow a transmitter and a receiver which uses a quantum channel to exchange their keys and to detect the presence of eavesdropping attacks. In the present research, we investigate the effect of several eavesdroppers with both intercept-resend and cloning attacks. We will propose the different possible cases of the positioning of the eavesdroppers and their strategies of attacks; also we will calculate the mutual information for each case. The explicit expressions of the mutual information and quantum error clearly show that the security of the exchanged information depends on the numbers of the eavesdroppers and their attacks parameters on the quantum channel.</p>
Web Application to Build Information System of National Seminar Alerts in Indonesia
Authors: Erlin Erlin , Andesa Khusaeri , Agustin Agustin 
Published: January 2019

The output of research in the form of a proceeding published through a national seminar or an international conference has become a routine activity performed by lecturers as a researcher. The escalating atmosphere of disseminating the results of a study is directly proportional to the increasing number of universities, associations, or non-educational institutions organizing either a national seminar or an international conference. Each seminar organizer posts their seminar relevant information through official sites released by each organizer. However, to date, there has never been storage that can compile all the information pertinent to all national seminars held in Indonesia. This situation has resulted in the search done by search engines such as Google, Yahoo Search, Bing and others have not been efficient nor effective. Design of a web-based national seminar alert system is built to address this issue. This information system can display all the seminars held in Indonesia in the current year in storage and can be broken down based on the choices of topic, location, and date. Other additional facilities are that the application can send email messages to the application users as an early warning on the upcoming national seminar. Researchers can track each existing national seminar and always up-to-date on the most current national seminar.
Towards Benchmarking User Stories Estimation with COSMIC Function Points-A Case Example of Participant Observatio
Authors: Angara Jayasri , Prasad Srinivas , Sridevi Gutta 
Published: January 2019

Shorter time-to-market and unstable requirements is leading to introduction of Agile and DevOps practices. Story point estimation is becoming handier in Agile/DevOps setting. However, developing user stories and defining sizing unit in terms of story point is subjective process. It lacks benchmarking/standardization in terms of sizing measure and productivity of historical data. COSMIC has been considered as FSM (Functional Size Method). It has flexibility to receive requirements as User stories (popular Agile/Devops method) and derive COSMIC functional units using parametric approach. COSMIC method reduces the subjectivity and populates the productivity parameter for benchmarking. It standardizes the estimation process and can be easily deployed in Agile or DevOps setting. This paper presents the related work on linkages between User stories, COSMIC methods and traditional function point methods. It also presents the outcome of the industry survey conducted on 49 practitioners working in 10 different domains with respective to parametric estimation process adoption and presents 9 real-time case studies developed to demonstrate the usage of COSMIC method in various domains. This paper also attempts to derive mapping process of COSMIC functional process with User Stories with the help of 2 real-time industry case studies.
Analysis of Blackhole Attack in AODV and DS
Authors: Panda Niranjan , Pattanayak Binod Kumar 
Published: January 2019

<p class="western" style="margin-top: 0.21cm; margin-bottom: 0cm; line-height: 100%;" lang="en-US" align="justify"><span>Mo</span><strong><span>b</span></strong><span>ile Ad-Hoc Networks (MANETs) are supreme ruler and demoralization wireless scheme. MANETs are infrastructure less i.e. their structure is not fixed, and the nodes be able to move about and can leave the network whenever they want. The nodes are to perform as more over router and host. In MANETs, the node can be in contact with every node as their configuration is not fixed and the nodes starts transmitting the packets to each other for the establishment of the connection. To hitch the link, the nodes make use of some routing protocols like Ad-Hoc On Demand Distance Vector (AODV), Dynamic Source Routing (DSR), and DestinationSequenced Distance Vector (DSDV). Security in MANET is the key matter meant for the fundamental utility of network. There are many attacks caused in MANET. Blackhole attack is one that occurs in MANET. A Black hole attack is an attack where the node, which is malicious advertise itself as having the optimal route to the destination and drops all the packets instead of forwarding further to the destination. Here, we have shown the blackhole attack in AODV and DSR. Through simulation we evaluate the performance of the two above protocols under blackhole attack.</span></p>
Optimization of Backpropagation for Early Detection of Diabetes Mellitu
Authors: Sofiana Rosita , Sutikno Sutikno 
Published: January 2019

Diabetes mellitus is one of the urgent health problems in the world. Diabetes is a condition primarily defined by the level of hyperglycemia giving rise to risk of micro vascular damage. Those who suffer from this disease generally do not realize and tend to overlook the early symptoms. Late recognition of these early symptoms may drive the disease to a more concerning level. One solution to solve this problem is to create an application that may perform early detection of diabetes mellitus so that it does not grow larger. In this article, a new method in performing early detection of diabetes mellitus is suggested. This method is backpropagation with three optimization namely early initialization with Nguyen-Widrow algorithm, learning rate adaptive determination, and determination of weight change by applying momentum coefficient. The observation is conducted by collecting 150 data consisting of 79 diabetes mellitus patient and 71 non diabetes mellitus patient data. The result of this study is the suggested algorithm succeeds in detecting diabetes mellitus with accuracy rate of 99.33%. Optimized backpropagation algorithm may allow the training process goes 12.4 times faster than standard backpropagation.
New Approach for Detecting and Tracking a Moving Object
Authors: Hatimi H. , Fakir M. , Chabi M. , Najimi M. 
Published: January 2019

<span>This article presents the implementation of a tracking system for a moving target using a fixed camera. The objective of this work is the ability to detect a moving object and locate their positions. In picture processing, tracking moving objects in a known or unknown environment is commonly studied. It is based on invariance properties of objects of interest. The invariance can affect the geometry of the scene or the objects. The proposed approach is composed of several steps; the first is the extraction of points of interest in the current image. Then, these points will be tracked in the following image by using techniques for calculating the optical flow. After this step, the static points will be removed to focus on moving objects, That is to say, there is only the characteristic points belonging to moving objects. Now, to detect moving targets using images of the video, the background is first extracted from the successive images. In our approach, a method of the average values of every pixel has been developed for modeling background. The last step which stays before switching to tracking moving object is the segmentation which allows identifying every moving object. And by using the characteristic points in the previous steps.</span>
Credit Scoring Using Classification and Regression Tree (CART) Algorithm and Binary Particle Swarm Optimization
Authors: Malik Reza Firsandaya , Hermawan Hermawan 
Published: January 2019

<span>Credit scoring is a procedure that exists in every financial institution. A way to predict whether the debtor was qualified to be given the loan or not and has been a major concern in the overall steps of the loan process. Almost all banks and other financial institutions have their own credit scoring methods. Nowadays, data mining approach has been accepted to be one of the well-known methods. Certainly, accuracy was also a major issue in this approach. This research proposed a hybrid method using CART algorithm and Binary Particle Swarm Optimization. Performance indicators that are used in this research are classification accuracy, error rate, sensitivity, specificity, and precision. Experimental results based on the public dataset showed that the proposed method accuracy is 78 %. In compare to several popular algorithms, such as neural network, logistic regression and support vector machine, the proposed method showed an outstanding performance. </span>
An Analysis of a Flexible Dry Surface Electrodes
Authors: Wong Azman Amelia , Azman Muhammad Farhan , Ariff Siti Mohd , Mustafah Yasir Mohd , Mohd Ramli Huda Adibah , Alam AHM Zahirul , Habaebi Mohamed Hadi 
Published: January 2019

<p>In the medical field, electrodes are commonly used either to retrieve signals or to conduct current. Most of the off-the-shelf surface electrodes are made from metal or rigid substrates. This paper presents a work on designing a new flexible dry electrodes using poly(3,4-ethylenedioxythiophene) polystyrene sulfonate and silver by means of dispenser printing technology. The polyester cotton fabric was selected as the substrate in this electrode designed. To analyse the new proposed composites of poly(3,4-ethylenedioxythiophene) polystyrene sulfonate and silver, different mixtures have been applied. Results from the experiment show that the conductivity of the proposed flexible electrode is comparable with the commercialized pre-gelled electrode when applied to an electrical stimulator device. Eight out of ten subjects under test described no difference in comfort between the proposed electrodes and pre-gelled electrodes.</p>
Novel Metamaterial Structures with Low Loss at Millimeter Wave Frequency Range
Authors: Esmail B. A. F. , Majid H. A. , Dahlan S. H. , Abidin Z. Z. , Rahim M. K. A. , Dewan R. 
Published: January 2019

Two novel millimeter-wave (MMW) metamaterials (MTMs) unit cells operate at 28 GHz for a future fifth generation (5G) mobile network applications had been designed, presented and numerically investigated. Two MTM structures are proposed; namely the double E-shaped resonator (DER) and T-U shaped resonator (TUSR). The DER and TUSR are consists of a double E and combined T-U shaped, each printed on front side of the substrate layer respectively. DER achieves a bandwidth of 0.5 GHz and a return loss of -34 dB, whereas TUSR features a bandwidth of 0.3 GHz and a return loss of -18 dB. The conventional split range resonator (SRR) was optimized to operate at similar frequency for comparison purpose. The simulation results revealed that the proposed DER and TUSR unit cells achieves the lowest loss as opposed to literature with -0.09 dB (0.99 in linear scale) and -0.23 dB (0.97 in linear scale) respectively. Moreover, a well-known algorithm was used to extract the constitutive parameters and the double negative nature of the two novel MTM structures is proven.
A Model for Processing Skyline Queries in Crowd-sourced Databases
Authors: Swidan Marwa B. , Alwan Ali A. , Turaev Sherzod , Gulzar Yonis 
Published: January 2019

Nowadays, in most of the modern database applications, lots of critical queries and tasks cannot be completely addressed by machine. Crowd-sourcing database has become a new paradigm for harness human cognitive abilities to process these computer hard tasks. In particular, those problems that are difficult for machines but easier for humans can be solved better than ever, such as entity resolution, fuzzy matching for predicates and joins, and image recognition. Additionally, crowd-sourcing database allows performing database operators on incomplete data as human workers can be involved to provide estimated values during run-time. Skyline queries which received formidable attention by database community in the last decade, and exploited in a variety of applications such as multi-criteria decision making and decision support systems. Various works have been accomplished address the issues of skyline query in crowd-sourcing database. This includes a database with full and partial complete data. However, we argue that processing skyline queries with partial incomplete data in crowd-sourcing database has not received an appropriate attention. Therefore, an efficient approach processing skyline queries with partial incomplete data in crowd-sourcing database is needed. This paper attempts to present an efficient model tackling the issue of processing skyline queries in incomplete crowd-sourcing database. The main idea of the proposed model is exploiting the available data in the database to estimate the missing values. Besides, the model tries to explore the crowd-sourced database in order to provide more accurate results, when local database failed to provide precise values. In order to ensure high quality result could be obtained, certain factors should be considered for worker selection to carry out the task such as workers quality and the monetary cost. Other critical factors should be considered such as time latency to generate the results.
Positioning of a Wireless Relay Node for Useful Cooperative Communication
Authors: Amjad Tariq Muhamad , Ahmed Elsheikh Elsheikh Mohamed 
Published: January 2019

<span>Given the exorbitant amount of data transmitted and the increasing demand for data connectivity in the 21st century, it has become imperative to search for pro-active and sustainable solutions to the effectively alleviate the overwhelming burden imposed on wireless networks. In this study a Decode and Forward cooperative relay channel is analyzed, with the employment of Maximal Ratio Combining at the destination node as the method of offering diversity combining. The system framework used is based on a three-node relay channel with a source node, relay node and a destination node. A model for the wireless communications channel is formulated in order for simulation to be carried out to investigate the impact on performance of relaying on a node placed at the edge of cell. Firstly, an AWGN channel is used before the effect of Rayleigh fading is taken into consideration. Result shows that performance of cooperative relaying performance is always superior or similar to conventional relaying. Additionally, relaying is beneficial when the relay is placed closer to the receiver. </span>
Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control
Authors: Sim S.Y. , Chia C.K. , Utomo W.M. , Goh H.H. , Buswig Y.M.Y. , Lim A.J.M.S. , Kek S.L. , Bohari A.A. , Cham C.L, 
Published: January 2019

This paper proposed a 7-level Cascaded H-Bridge Multilevel Inverter (CHBMI) with two diffenrent controller, ie, PID and Artificial Neural Network (ANN) controller to improve the output voltage performance and achieve a lower Total Harmonic Distortion (THD). A PWM generator is connected to the 7-level CHBMI to provide switching of the MOSFET. The reference signal waveform for the PWM generator is set to be sinusoidal to obtain an ideal AC output voltage waveform from the CHBMI. By tuning the PID controller as well as the self-learning abilities of the ANN controller, switching signals towards the CHBMI can be improved. Simulation results from the general CHBMI together with the proposed PID and ANN controller based 7-level CHBMI models will be compared and discussed to verifyl the proposed ANN controller based 7-level CHBMI achieved a lower output voltage THD value with a better sinusoidal output performance.
Chaotic Local Search Based Algorithm for Optimal DGPV Allocation
Authors: Mustaffa Sharifah Azma Syed , Musirin Ismail , Othman Mohd. Murtadha , Zamani Mohamad Khairuzzaman Mohamad , Kalam Akhtar 
Published: January 2019

The advent of advanced technology has led to the increase of electricity demand in most countries in the world. This phenomenon has made the power system network operate close to the stability limit. Therefore, the power utilities are looking forward to the solution to increase the loadability of the existing infrastructure. Integration of renewable energy into the grid such as Distributed Generation Photovoltaic (DGPV) can be one of the possible solutions. In this paper, Chaotic Mutation Immune Evolutionary Programming (CMIEP) algorithm is used as the optimization method while the chaotic mapping was employed in the local search for optimal location and sizing of DGPV. The chaotic local search has the capability of finding the best solution by increasing the possibility of exploring the global minima. The proposed technique was applied to the IEEE 30 Bus RTS with variation of load. The simulation results are compared with Evolutionary Programming (EP) and it is found that CMIEP performed better in most of the cases.
Effect of Deposition Temperature on Self-Catalyzed ZnO Nanorods via Chemical Vapour Deposition Method
Authors: Shariffudin Shafinaz Sobihana , Saad Puteri Sarah Mohamad , Hashim Hashimah , Mamat Mohamad Hafiz 
Published: January 2019

The morphological, structural, optical and electrical properties of ZnO nanorods are investigated as a function of deposition temperature. The ZnO nanorods were grown on ZnO seed catalyst layer at temperatures between 750oC – 825oC using thermal chemical vapour deposition method. Sample deposited at 825oC showed the highest crystalline orientation. The FE-SEM micrographs and the intense peak along (002) direction in the XRD spectra of this sample implied that the nanorods possess c-axis orientation. PL spectra showed two common ZnO peaks which centered at 380 nm and 540 nm. Two-point probe I-V measurement revealed ohmic behaviour with the gold metal contact, whereby the current increase with the deposition temperature.
Real Time Detection of R – Peak in QRS Complex of ECG using Microcontroller
Authors: N Santipriya , M Venkateswara Rao , V Arun , Karthik R 
Published: January 2019

<p>Real-time detection of R peaks in QRS complex of ECG signal is the first step in the processing of ECG waveform. Based on this, various other ECG parameters can be extracted. These parameters provide substantial information about various heart diseases. In this paper, we are proposing a method to detect R – peaks of ECG signal dynamically. The most prominent role in the R – peak detector is executed by the microcontroller. This method originates by acquiring signal from the subject and necessary pre-processing is carried out on the signal in order to achieve the denoised signal. Subsequently, this filtered signal is handed over to microcontroller where a pulse is generated for each R – peak that is found in the QRS complex of ECG signal. The microcontroller is embedded with a signal processing algorithm. The algorithm used to determine the R – peaks is double differentiation method which is straightforward and robust. </p>
Performance Characteristics of Miniature Photovoltaic Farm Under Dynamic Partial Shading
Authors: Rajagukguk Antonius , Riawan Dedet Candra , Ashari Mochamad 
Published: January 2019

<p>This paper presents investigation of performance characteristic on a miniature photovoltaic farm under dynamic partially shaded condition. Effects of applying bypass diodes in each photovoltaics modul and the transient current of the diode is also investigated. The miniature of PV Farm consisting 4 photovoltaic panels, connected in series to form one string. The whole system comprises 5 photovoltaic strings, which are connected in parallel producing 30 volt and 60 watt peak power fromminiature PV farm. Shading of 10%, 20 % up to 50 % with dynamically changed is applied. Result from both laboratory tests and simulations is investigated and show very similar.</p>