bluuebunny/crossref_metadata_2025 huggingface dataset:
Megakaryocytes Mediate Hyperglycemia-Induced Tumor Metastasis
Authors: Wu Biying , Ye Ying , Xie Sisi , Li Yintao , Sun Xiaoting , Lv Mengyuan , Yang Ling , Cui Nan , Chen Qiying , Jensen Lasse D. , Cui Dongmei , Huang Guichun , Zuo Ji , Zhang Shaochong , Liu Wen , Yang Yunlong
Published: September 2021

High blood glucose has long been established as a risk factor for tumor metastasis, yet the molecular mechanisms underlying this association have not been elucidated. Here we describe that hyperglycemia promotes tumor metastasis via increased platelet activity. Administration of glucose, but not fructose, reprogrammed the metabolism of megakaryocytes to indirectly prime platelets into a prometastatic phenotype with increased adherence to tumor cells. In megakaryocytes, a glucose metabolism-related gene array identified the mitochondrial molecular chaperone glucose-regulated protein 75 (GRP75) as a trigger for platelet activation and aggregation by stimulating the Ca2+-PKCα pathway. Genetic depletion of Glut1 in megakaryocytes blocked MYC-induced GRP75 expression. Pharmacologic blockade of platelet GRP75 compromised tumor-induced platelet activation and reduced metastasis. Moreover, in a pilot clinical study, drinking a 5% glucose solution elevated platelet GRP75 expression and activated platelets in healthy volunteers. Platelets from these volunteers promoted tumor metastasis in a platelet-adoptive transfer mouse model. Together, under hyperglycemic conditions, MYC-induced upregulation of GRP75 in megakaryocytes increases platelet activation via the Ca2+-PKCα pathway to promote cancer metastasis, providing a potential new therapeutic target for preventing metastasis.

Significance:

This study provides mechanistic insights into a glucose–megakaryocyte–platelet axis that promotes metastasis and proposes an antimetastatic therapeutic approach by targeting the mitochondrial protein GRP75.
Vulnerability of IDH1-Mutant Cancers to Histone Deacetylase Inhibition via Orthogonal Suppression of DNA Repair
Authors: Dow Jonathan , Krysztofiak Adam , Liu Yanfeng , Colon-Rios Daniel A. , Rogers Faye A. , Glazer Peter M.
Published: September 2021

Exploitation of DNA repair defects has enabled major advances in treating specific cancers. Recent work discovered that the oncometabolite 2-hydroxyglutarate (2-HG), produced by neomorphic isocitrate dehydrogenase 1/2 (IDH1/2) mutations, confers a homology-directed repair (HDR) defect through 2-HG–induced histone hypermethylation masking HDR signaling. Here, we report that IDH1-mutant cancer cells are profoundly sensitive to the histone deacetylase inhibitor (HDACi) vorinostat, by further suppressing the residual HDR in 2-HG–producing cells. Vorinostat downregulates repair factors BRCA1 and RAD51 via disrupted E2F-factor regulation, causing increased DNA double-strand breaks, reduced DNA repair factor foci, and functional HDR deficiency even beyond 2-HG's effects. This results in greater cell death of IDH1-mutant cells and confers synergy with radiation and PARPi, both against cells in culture and patient-derived tumor xenografts. Our work identifies HDACi's utility against IDH1-mutant cancers, and presents IDH1/2 mutations as potential biomarkers to guide trials testing HDACi in gliomas and other malignancies.

Implications:

IDH1-mutant cells show profound vulnerability to HDACi treatment, alone and with PARPi and radiation, via HDR suppression, presenting IDH1/2 mutations as biomarkers for HDACi use in gliomas and other malignancies.
GnRH-Agonist Ovulation Trigger in Patients Undergoing Controlled Ovarian Hyperstimulation for IVF with Stop GnRH-Agonist Combined with Multidose GnRH-Antagonist Protocol
Authors: Orvieto Raoul , Nahum Ravit , Frei Judith , Zandman Orit , Frenkel Yulia , Haas Jigal
Published: September 2021

Objective: This study aimed to characterize those patients undergoing the stop gonadotropin-releasing hormone (GnRH)-agonist combined with multidose GnRH-antagonist protocol, with suboptimal response to GnRH-agonist trigger in in vitro fertilization (IVF) cycles. Design: This is a cohort study. Setting: The study was conducted in a university hospital. Patients: All consecutive women admitted to our IVF unit from February 2020 through November 2020 who reached the ovum pick-up stage were reviewed. Interventions: Triggering final oocyte maturation by GnRH-ag alone (GnRH-ag trigger group), or combined with hCG (dual trigger group), in patients undergoing the stop GnRH-agonist combined with multidose GnRH-antagonist protocol was performed. Main Outcome Measure: The main outcome measure was LH level 12 h after the trigger. Results: Five out of the 32 patients (15.6%) demonstrated suboptimal response as reflected by LH levels <15 IU/L 12 h after GnRH-agonist trigger. Moreover, while no differences were observed in oocyte recovery rate, maturity, or embryo quality between the different study groups (GnRH-ag trigger and dual trigger groups), those achieving a suboptimal response to the GnRH-agonist trigger (post-trigger LH <15 mIU/mL) demonstrated significantly higher number of follicles and peak estradiol levels at the day of trigger, compared to those with optimal response (post-trigger LH >15 mIU/mL). Conclusions: The stop GnRH-agonist combined with GnRH-antagonist protocol enables the substitution of hCG with GnRH-ag for final oocyte maturation. However, caution should be taken in high responders, where the dual trigger with small doses of hCG (1,000–1,500 IU) should be considered, aiming to avoid suboptimal response (post-trigger LH levels <15 IU/L).
Forebrain Architecture and Development in Cyclostomes, with Reference to the Early Morphology and Evolution of the Vertebrate Head
Authors: Sugahara Fumiaki , Murakami Yasunori , Pascual-Anaya Juan , Kuratani Shigeru
Published: September 2021

The vertebrate head and brain are characterized by highly complex morphological patterns. The forebrain, the most anterior division of the brain, is subdivided into the diencephalon, hypothalamus, and telencephalon from the neuromeric subdivision into prosomeres. Importantly, the telencephalon contains the cerebral cortex, which plays a key role in higher order cognitive functions in humans. To elucidate the evolution of the forebrain regionalization, comparative analyses of the brain development between extant jawed and jawless vertebrates are crucial. Cyclostomes – lampreys and hagfishes – are the only extant jawless vertebrates, and diverged from jawed vertebrates (gnathostomes) over 500 million years ago. Previous developmental studies on the cyclostome brain were conducted mainly in lampreys because hagfish embryos were rarely available. Although still scarce, the recent availability of hagfish embryos has propelled comparative studies of brain development and gene expression. By integrating findings with those of cyclostomes and fossil jawless vertebrates, we can depict the morphology, developmental mechanism, and even the evolutionary path of the brain of the last common ancestor of vertebrates. In this review, we summarize the development of the forebrain in cyclostomes and suggest what evolutionary changes each cyclostome lineage underwent during brain evolution. In addition, together with recent advances in the head morphology in fossil vertebrates revealed by CT scanning technology, we discuss how the evolution of craniofacial morphology and the changes of the developmental mechanism of the forebrain towards crown gnathostomes are causally related.
COVID-19 Infection in Sickle Cell Patients in a Developing Country: A Case Series
Authors: Silva-Pinto Ana Cristina , Santos-Oliveira Letícia , Santos Flávia Leite Souza , Kashima Haddad Simone , De Santis Gil Cunha , do Tocantins Calado Rodrigo
Published: September 2021

Sickle cell disease is characterized by vaso-occlusive phenomena and haemolytic anaemia. There is a significant concern that the overlap of COVID-19 lung disease with acute chest syndrome that occurs in sickle cell patients may result in serious complications. Case reports of sickle cell patients with COVID-19 have been published. Here, we present a case series of COVID-19 infection in sickle cell patients in a developing country (Brazil). Only 10 patients tested positive so far for SARS-CoV-2 of 600 patients followed at our institution, of which 8 needed hospitalization (one in the intensive care unit), with no deaths. Even in a middle-income country, COVID-19 was reported to be relatively mild in sickle cell patients. In relation to risk factors, blood type O seems to confer some protection against developing severe COVID-19, a finding that could guide clinicians to adopt more clinical surveillance for patients with non-O blood type in sickle cell patients.
Distributed MPP Tracking of PV through Buck Converter Using Fuzzy
Authors: Sharma Chandani , Jain Anamika
Published: September 2021

Photovoltaics (PV) are the most abundant, perennial, environment friendly and distributed source of energy all over the globe. In this paper, the method to increase PV extraction efficiency for 60W panel with improved DMPP (Distributed Maximum Power Point) even on changing temperature and irradiance have been mapped and discussed. In order to achieve this, the components and subsystems have been analyzed and validated. The validated models are used to maximize the power output using two different models of DC-DC Converters in MATLAB/SIMULINK environment. Closed loop Buck converter using state space nonlinear differential equations and direct component model are compared to reveal best results at Standard Test Conditions (STC). MPPT model developed can be used for obtaining maximum power output from PV even in partial presence of sun using Fuzzy Logic Controller. The Controller designed tracks highest power output for the buck converter. The model developed, using tested membership functions in FLC, can serve a platform for various real time applications using PV.
Decoupled Feed Forward Voltage Oriented Controller For DFIG Under Balanced And Unbalanced Fault Conditions
Authors: Varma Dileep Kumar , Obulesh Y. P. , Babu Ch. Sai
Published: September 2021

As wind power penetration increases continuously in total Power Generation, the wind turbines are necessary to stay connected to grid even under grid disturbances. An enhanced control strategy for DFIG is proposed in the present paper to meet the latest grid codes set by grid operators. The decoupled current controller implemented in grid voltage oriented reference frame is applied to Grid Side Converter (GSC) to improve the dynamic performance of DFIG. The proposed scheme enhances the Low Voltage ride through capability of Wind farm by providing reactive Power support under adverse grid conditions. The Proposed scheme also counteracts the ripples in DC Link voltage, stator/rotor currents and stator/reactive power to fulfill the grid code commitments in weak grid.Simulation results are presented to verify the feasibility and robustness of the proposed control scheme.
Side Effects in a HEMT Performance with InAlN/GaN
Authors: Kourdi Z. , Bouazza B. , Guen-Bouazza A. , Khaouani M.
Published: September 2021

We present a simulation of a HEMT (high electron mobility transistor) structure. We extract the device characteristics through the analysis of DC, AC and high frequency regimes, as shown in this paper. This work demonstrates the optimal device with a gate length of 30 nm, and InAlN/GaN heterostructure for minimizing side effects. The simulated with Silvaco software of the HEMT devices with the materials InAlN show very good scalability in different application. We have demonstrated an excellent current density, as high as 644 mA/mm, a peak extrinsic transconductance of 710 mS/mm at VDS=2 V, and cutting frequency cutoffs of 385 GHZ, maximum frequency of 810 GHz, maximum efficiency of 23% for x-Band, maximum breakdown voltage of 365 V, and an ON/OFF current density ratio higher than 8 x 108. These values were determined through the simulation by hydrodynamics models, which makes that optimize the design is the future of this technology.
Flight-Path Tracking Control of an Aircraft Using Backstepping Controller
Authors: Chrif Labane , Meguenni Kada Zemalache , Mohamed Tahar
Published: September 2021

For transportation aircraft, the primary control objective for an autopilot system engaged during approach and landing is relative to the flight path tracking on the basis of highly simplified linear models of flight dynamics. The dynamics governing the flight path of an aircraft are in general highly nonlinear and involve complex physics for which no accurate models are available. In this paper a nonlinear model describing the longitudinal equations of motion in strick feedback form is derived. Backstepping is utilized for the construction of a globally stabilizing controller with a number of free parameters. It is implemented a controller with an internal loop controls involving the pitch rate of the aircraft and an external loop which includes angle of attack, path angle and pitch angle. Finally, nonlinear simulation results for a longitudinal model of a transportation aircraft are displayed and discussed.
Research on Roll Variable Speed Grinding Based on Adaptive Fuzzy Control
Authors: Junxi Bi , Qing Gao , Shuwei Wang
Published: September 2021

The traditional method of improving the machining precision is mainly on account of changes in the workpiece and the grinding wheel in grinding process, including, considered the weakest of the workpiece from the axial stiffness, using center frame to increase the stiffness of the workpiece, take error compensation, and analyze the mechanism of gear grinding and the suppression measures of variable speed grinding and grinding chatter. Based on the analysis of the relationship among gear grinding mechanism, variable speed grinding and grinding chatter suppression and grinding precision, the variable speed micro-feed grinding process strategy based on adaptive fuzzy control is put up, that is according to the roller material and structure to reasonably determine the characteristics of grinding wheel and the parameters of grinding process. And with full consideration of roll grinders, changes of roller system along the axial stiffness and the deformation control in the roll grinding process, a new strategy of variable speed grinding micro-feed adaptive control optimization based on adaptive fuzzy control is proposed, which for improving the accuracy of the grinding roll presents a new and effective solution.
Detection of Kidney Organ Condition Using Hidden Markov Models
Authors: Anraeni Siska , Nurtanio Ingrid , Indrabayu Indrabayu
Published: September 2021

The frequencies of chronic kidney disease are likely to continue to increase worldwide. So people need to take a precaution, which is by maintaining kidney health and early detection of renal impairment by analyzing the composition of the iris is known as iridology. This paper presents a novel approach using a one-dimensional discrete Hidden Markov Model (HMM) classifier and coefficients Singular Value Decomposition (SVD) as a feature for image recognition iris to indicate normal or abnormal kidney. The system has been examined on 200 iris images. The total images of the abnormal kidney condition were 100 images and those for the normal kidney condition were 100 images. The system showed a classification rate up to 100% using total of image for training and testing the system unspecified, resize iris image 56x46 pixels, coefficient values U(1,1), Σ(1,1) and Σ(2,2), quantized values [18 10 7], and classify by 7-state HMM with .pgm format database.
Recognition of a Face in a Mixed Document
Authors: Bouhou Lhoussaine , El Ayachi Rachid , Fakir Mohamed , Oukessou Mohamed
Published: September 2021

Face recognition is the field of great interest in the domaine of research for several applications such as biometry identification, surveillance, and human-machine interaction…This paper exposes a system of face recognition. This system exploits an image document text embedding a color human face image. Initially, the system, in its phase of extraction, exploitis the horizontal and vertical histogram of the document, detects the image which contains the human face. The second task of the system consists of detecting the included face in other to determine, with the help of invariants moments, the characteristics of the face. The third and last task of the system is to determine, via the same invariants moments, the characteristics of each face stored in a database in order to compare them by means of a classification tool (Neural Networks and K nearest neighbors) with the one determined in the second task for the purpose of taking the decision of identification in that database, of the most similar face to the one detected in the input image.
Real-time Colorized Video Images Optimization Method in Scotopic Vision
Authors: Yong Chen , Feng Shuai , Di Zhan
Published: September 2021

In low light environment, the surveillance video image has lower contrast，less information and uneven brightness. To solve this problem, this paper puts forward a contrast resolution compensation algorithm based on human visual perception model. It extracts Y component from the YUV video image acquired by camera originally to subtract contrast feature parameters, then makes a proportional integral type contrast resolution compensation for low light pixels in Y component and makes index contrast resolution compensation for high light pixels adaptively to enhance brightness of the video image while maintains the U and V components. Then it compresses the video images and transmits them via internet. Finally, it decodes and displays the video image on the device of intelligent surveillance system. The experimental results show that, the algorithm can effectively improve the contrast resolution of the video image and maintain the color of video image well. It also can meet the real-time requirement of video monitoring.
Gabor-HOG Features based Face Recognition Scheme
Authors: Ouanan Hamid , Ouanan Mohammed , Aksasse Brahim
Published: September 2021

Extraction of invariant features is the core of Face RecognitionSystems (FRS). This work proposes a novel feature extractor-fusion scheme using two powerful feature descriptor known as Gabor Filters (GFs) and Histogram of Oriented Gradient (HOG), which the face image is filtered with the multiscale multiresolution Gabor filter bank to generate multiple Gabor magnitude images (GMIs), then the down-sampled GMIs and apply Histogram of Oriented Gradient to form the features. The experimental results on the FERET face database show the effectiveness of our methods.
Isolated Handwritten Eastern Arabic Numerals Recognition Using Support Vectors Machines
Authors: El Kessab B. , Daoui C. , Bouikhalene B. , Salouan R.
Published: September 2021

In this paper, we present a comparison between the different variations of virtual retina (grid size) in features extraction with the support vectors machines classifier for isolated handwritten Eastern Arabic numerals recognition. For this purpose we have used for pre-processing each numeral image the median filter, the thresholding, normalization and the centering techniques. Furthermore, the experements results that we have obtained demonstrate really that the most powerful method is that virtual retina size equal 20x20. This work has achieved approximately 85% of success rate for Eastern Arabic numerals database identification.
A Fuzzy Controller for Compensation of Voltage SAG/SWELL Problems Using Reduced Rating Dynamic Voltage Restorer
Authors: Damaraju Rajesh , Lalitha S.V.N.L.
Published: September 2021

Non linear loads are highly effected by variations in voltages. Dynamic voltage restorer is one of the most popular compensating devices due to its low cost and better performance. Usage of Park’s transformation technique effectively reduces the rating of Dynamic voltage restorer. Application of fuzzy logic controller for getting the better result is proposed in this paper. The results are verified in Matlab/Simulink environment.
Using Particle Swarm Optimization, Genetic Algorithm, Honey Bee mating Optimization and Shuffle Frog Leaping Algorithm for solving OPF Problem with their Comparison
Authors: Ahmadnia Sajjad , Tafehi Ehsan
Published: September 2021

Today using evolutionary programing for solving complex, nonlinear mathematical problems like optimum power flow is commonly in use. These types of problems are naturally nonlinear and the conventional mathematical methods aren’t powerful enough for achieving the desirable results. In this study an Optimum Power Flow problem solved by means of minimization of fuel costs for IEEE 30 buses test system by Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Honey Bee Mating Optimization (HBMO) and Shuffle Frog Leaping Algorithm (SFLA), these algorithms has been used in MATLAB medium with help of MATHPOWER to achieving more precise results and comparing these results with the other proposed results in other published papers.
An Advanced Robust AVR-PSS Based H2 and H∞ Frequency Approachs Simulated Under a Realized GUI
Authors: Wahiba Kabi , Djamel Eddine Ghouraf , Abdellatif Naceri
Published: September 2021

This article present a comparative study between two advanced robust frequency control strategies and their implementation using our realised Graphical User Interface ‘GUI’ under MATLAB software: the first method based on loop-shaping H∞ optimization technique and the second on robust H2 control method (LQG controller associated with KALMAN filter), and applied on automatic excitation control of synchronous generators, to improve transient stability and robustness of a single machine- infinite bus (SMIB) system operating in different several conditions. The computer simulation results (static and dynamic stability), with test of robustness against machine parameters uncertainty (electric and mechanic), have proved that good dynamic performances, showing a stable system responses almost insensitive to large parameters variations, and more robustness using robust H∞ controller in comparison with H2 approach by exploiting our developed GUI interface in this work.
A Novel Approach for Design and Analysis of Voltage-Controlled DSTATCOM for Power Quality Enhancement
Authors: Ruman Syed , Hameed Shaik
Published: September 2021

The Power quality fluctuations of the distributed power system show a serious impact on the robust and sustainable operation of the distributed power system. These power quality fluctuations may be caused due to several reasons like leakage, faults and ageing of the lines. This project proposes a new algorithm to generate reference voltage for a controlled mode distribution static compensator (DSTATCOM) operating in voltage-control mode. The proposed scheme exhibits several advantages compared to traditional voltage-controlled DSTATCOM where the reference voltage is arbitrarily taken as 1.0 p.u. The proposed scheme ensures that unity power factor (UPF) is achieved, while regulating the voltage at the load terminal, during load change, which is not possible in the traditional method. Also, the compensator injects lower currents and, therefore, reduces losses in the feeder and voltage-source inverter. This scheme allows DSTATCOM to tackle power-quality issues by providing power factor correction, harmonic elimination, load balancing, and voltage regulation based on the load requirement.  Simulation and experimental results are presented to demonstrate the efficacy of the proposed algorithm.
ECG De-noising using Hybrid Linearization Method
Authors: Lakshmi P Sri , Raju V Lokesh
Published: September 2021

Electrocardiogram (ECG) is a non-invasive tool that monitors the electrical activity of the heart. An ECG signal is highly prone to the disturbances such as noise contamination, artifacts and other signals interference. So, an ECG signal has to be de-noised so that the distortions can be eliminated from the original signal for the perfect diagnosing of the condition and performance of the heart. Extended Kalman Filter (EKF) de-noises an ECG signal to some extent. This project proposes a method called Hybrid Linearization Method which is a combination of Extended Kalman Filter along with Discrete Wavelet Transform (DWT) resulting in an improved de-noised signal.
Secured Communication Among HMI and Controller using RC-4 Algorithmand Raspberry Pi
Authors: Sagala Albert , Lumbantoruan Deni Parlindungan , Manurung Epelin , Situmorang Iroma , Gunawan Adi
Published: September 2021

In the beginning the implementation of a plant with SCADA technology, the network is formed isolated from the outside network (LAN or Internet). So it can be ascertained that the communication that occurs on the SCADA network is safe from the threat of crackers. In fact, SCADA network allows it to be connected to the Internet, so that the data of the plant can be monitored via the Internet, so the information about the state of the plant can be monitored in realtime and can be taken quickly if it is known there are anomalies on the control system. In the research we designed a method of encryption and decryption against the lines of communication between the HMI (Human Machine Interface) and the Controller on an industrial minipant contained in Lab CSRC IT Del. Raspberry Pi is used as a gateway between the HMI and the Controller. While Algorithm RC 4 are used as the algorithm for encrypting data between the HMI and the Controller. In the results, we can use the Rapsberry Pi to secure the communication between the HMI and Controller.
Providing Authentication by Using Biometric Multimodal Framework for Cloud Computing
Authors: Mala R. Parimala , Kumar C. Jayakumar
Published: September 2021

Secret knowledge, like remembering password or token based authentication systems are deemed inconvenience and difficult to use for users such as password may be forgotten or token may be lost. So burdens like remembering password and stolen or forged token based authentication have raised a current trend of biometric authentication system. Now in this current tech world, everyone needs security everywhere to protect our personal gadgets.  So to keep it secured, biometric based approach can be applied for better convenience and ease of use for the user. In this paper, a novel hybrid multimodal approach for ear recognition and finger print recognition has been presented for better robustness and efficiency which can be applied in various fields of applications like authentication in banking transactions. Biometric based human recognition is rapidly gaining popularity due to breached of traditional security systems and the lowering cost of sensors. This paper comprehensively reviews multimodal recognition using ear pattern and finger print data, it is concluded that further research should investigate fast and fully automatic ear-finger print multimodal systems robust to occlusions and deformations.
Performance Study of IEEE 802.15.4 under OPNET Modeler for Wireless Sensor Networks
Authors: Khadim Rania , Erritali Mohammed , Maaden Abdelhakim
Published: September 2021

The IEEE 802.15.4 protocol has recently been adopted as a communication standard for low-rate wireless personal area networks (LR-WPANs) due to its low data rate, low power consumption and low cost of Wireless Personal Area Networks. This protocol is quite flexible for a wide range of applications if appropriate tuning of its parameters is carried out. Importantly, the protocol also provides real-time guarantees by using the Guaranteed Time Slot (GTS) mechanism. Indeed, the GTS mechanism is quite attractive for Wireless Sensor Network (WSN) applications. The main objective of this paper is to investigate the performance of BPSK (Binary phase shift keying) and QPSK (Quadrature phase shift keying) modulation techniques. Investigations have been reported to compare the performance of the two modulation schemes. Here modulation schemes have been identified which gives significant performance improvement over the other based on network output load, energy consumption and power reception at the WPAN devices. The results have been presented Pan_Coordinator, GTS and Non GTS End Device (CAP device) of Wireless Sensor Network (WSN).
Comprehensive Algorithmic Review and Analysis of LDPC Codes
Authors: Ullah Waheed , Yahya Abid
Published: September 2021

Due to the increasing popularity of LDPC codes and its demand for future applications, first time in this paper, LDPC coding techniques have been systematically summarized and analyzed. The paper gives the comprehensive review of LDPC encoder, decoder and its architecture for simulation and implementation. The paper is specially intended for giving an insight of the algorithmic overview of the LDPC encoder, decoder and its architecture for research and practical purposes. The original belief propagation algorithm (BPA) , logarithmic model of BPA , and the other simplified form of the logarithmic sum product algorithms (SPA) has been elaborated and analyzed for medium and short length codes under AWGN channel
Transformerless high gain boost converter for low power applications with feedback control
Authors: Yaseen Md , Usha Dr. P
Published: September 2021

A transformer-less boost converter which provides high voltage gain without utilizing transformer or coupled inductors and extreme duty cycle is proposed in this paper.  Also it is able to cancel the ripples in the input current at a preselected duty cycle, without increasing the number of components. The converter combines the features of boost converter and a three switch high voltage converter. At the input side, two inductors are interleaved for cancelling the input current ripple and at the output side switched capacitor voltage multiplier is used to increase the voltage gain. Feedback control is used to make the output voltage constant in spite of variation in the input or load or both i.e. both line and load regulation is accompanied. This proposed converter configuration helps eliminate the input current ripple and provides voltage deregulation for low power applications.
Sparse Representation Based Super-Resolution Algorithm using Wavelet Domain Interpolation and Nonlocal Means
Authors: Suryanarayana Gunnam , Dhuli Ravindra
Published: September 2021

In this correspondence, we propose a novel image resolution enhancement algorithm based on discretewavelet transform (DWT), stationary wavelet transform (SWT) and sparse signal recovery of the inputimage. The nonlocal means filter is employed in the preliminary denoising stage of the proposed method.The denoised input low resolution (LR) image is then decomposed into different frequency subbands byemploying DWT and SWT simultaneously. In parallel, the denoised LR image is subjected to a sparse signalrepresentation based interpolation. All the estimated high frequency subbands as well as the sparseinterpolated LR image are fused to generate a high resolution (HR) image by using inverse discrete wavelettransform (IDWT). Experimental results on various test images show the superiority of our method over theconventional and state-of-the-art single image super- resolution (SR) techniques in achieving the real timeperformance.
Combination of Ant Colony Optimization with Local Triangular Kernel Clustering for Vehicle Routing Problem with Time Windows
Authors: Musdholifah Aina , Kesuma Rahman Indra
Published: September 2021

VRP is a common problem that occurred in logistics, including determination a route of products from the source to the destination. VRPTW is variation of VRP that use routing concepts in the serving process at the certain time interval. Recently, many methods are used to solve this optimization problem, for example ACO. LTKC-ACO was developed to improve the ACO solutions that apply LTKC to obtain a number of classes that are considered as the candidate list in ACO. Local Search is also used to avoid ACO getting stuck in the local optimum. In this study, two types of LTKC-ACO are developed that’s related to time windows parameter usage in clustering. The experimental result of 56 Solomon’s datasets showed that LTKC-ACO can improve the ACO solutions on 73,21% of datasets and can out performed then the other methods, especially on the datasets that have longer scheduling of service time.
eXSRUP: Hybrid Software Development Model Integrating Extreme Programing, Scrum & Rational Unified Process
Authors: Sharma Nidhi , Wadhwa Manoj
Published: September 2021

Software industries are progressively adopting the agile development practices of customized models such as Extreme Programming (XP) or Scrum or Rational Unified Process (RUP). Scrum and Extreme Programming (XP) are frequently used agile models, whereas Rational Unified Process (RUP) is one popular classic plan driven software development methodology. Both agile and plan driven models have their own merits & demerits such as XP has good engineering practices, team collaboration and on the other hand weak documentation, poor performance in medium & large scale projects. Scrum is based on project management practices. RUP model has some limitations such as impractical for small and fast paced projects, tendency to be over budgeted, condemn rapid changes in requirements. This research paper based on proposes hybrid framework eXSRUP by combining strengths of Scrum, XP and RUP by suppressing their limitations to produce high quality software.
Optimal Coordination of Overcurrent and Distance Relays Using Cuckoo Optimization Algorithm
Authors: Namdari Farhad , Samadinasab Sajad , Shojaei Nader , Bakhshipour Mohammad
Published: September 2021

The duty of protective systems is the timely detection of fault and removing it from the power network. The accuracy of the results and reducing the execution time of the optimizing algorithm are two crucial elements in selecting optimizing algorithms in protective functions. The most important protective elements that are used in power networks are distance and overcurrent relays. In this article, a new algorithm is presented to solve the optimization problem of coordination of overcurrent and distance relays by using Cuckoo Optimization Algorithm which considers the non-linear model overcurrent relays at all stages of setting. The proposed method is tested on a standard 8-bus power system network. Also the results obtained have been compared with other evolutionary algorithms. The results show that the proposed approach can be provide more effective and practical solutions to minimize the time function of the relays and achieving optimal coordination in comparison with previous studies on optimal coordination of overcurrent and distance relays in power system networks.
Optimized Operation-Planning of a Microgrid with Renewable Sources and Vehicle to Grid
Authors: Waqar Asad , Wang Shaorong , Mohsin Qasim Kamil , Zahid Muhammad
Published: September 2021

The microgrid with renewable sources possess stability issues. During the grid-connected mode, these issues are taken care by the external grid. However in case of islanding, the distributed generators within the microgrid, have to take care of these issues independently. It needs additional backup like diesel generation or battery storage, which increases the overall capital and operation costs. With the intervention of the V2G storage, these costs can be saved to some extent. However similar to the renewable sources like wind and solar, the power from V2G is also fluctuating which may lead the microgrid towards an uneconomical operation. Therefore an extensive operation-planning is needed to deal with these uncertainties, for the microgrid to be economically viable. In this context, the stochastic programming has been applied to achieve the optimum results. The stochastic scenarios for wind speed, solar radiation, V2G power and load fluctuation have been generated using the Markov chain Monte Carlo method. The optimized operation-planning aims to minimize the total net present cost, size of the fixed storage and fossil fuel emissions subject to constraints. The simulations have been performed using Matlab/Simulink, HOMER and Excel. The simulation results show that the V2G technology substantially decrease the total net present cost. Moreover for such a microgrid the total net present cost and fossil fuel emissions conflict with each other.
Power Generation Using Speed Breakers
Authors: Bano Shehar , Nadeem Anns , Ahmad Abrar , Shuja Umer
Published: September 2021

In the current scenario demand of power is increasing day by day with increasing population. On the other hand energy crisis is also a main issue of today’s life and all there is a shortage of conventional energy resources due to its large usage. So, we have to sort out this problem with a technique which will not only overcome this energy crisis but also should be eco-friendly. Many conventional resources are creating pollution so that’s why focus is towards eco-friendly solution. This project emphasizes on idea which shows that power could be generated by specially designed speed breakers. A large amount of kinetic energy is being wasted on roads on daily basis in different forms which could be use to generate power and this power can be stored in batteries. This project shows clearly how we can generate power by using rack-pinion method where basically linear motion is converted into rotatory motion and then can be used to generate electricity. Large amount of electricity can be generated using this method and this method is eco-friendly.
A New Algorithm for Protection of Small Scale Synchronous Generators Against Transient Instability
Authors: Khosravi Zinat , Saffarian Alireza
Published: September 2021

Today, installation of small generators has been increased because of their considerable benefits in distribution systems in distributed generation. One of the most important problems for transient stability is the effects of the faults of system. Small scale generators have low constant inertia and protection relays have slow performance in distribution systems. Therefore transient instability is a probable phenomenon for the systems with these generators. In this paper, dynamic response of generator has been studied in different fault conditions and then by introducing the concept of " critical fault clearing time ", the sensitivity of this time to the fault type and also fault location parameters have been studied. Then a new protection scheme has been proposed to prevent of transient instability for small scale generator. This protection scheme uses a new evolutionary algorithm based on the active power of generator and critical fault clearing time. The proposed relay can prevent of wrong and unwanted performance. Furthermore it can disconnect the generator from the system in three phase fault near of the bus-bar before its instability. Simulation results show reliable performance of the proposed relay against system transients.
Material Modeling Approach for Graphene Antenna Design
Authors: Bala Rajni , Marwaha Anupma , Marwaha Sanjay
Published: September 2021

For the last few decades, in the field of patch antenna design for wireless applications the researchers have gone through experimenting with almost all types of variations in shape and dimensions of patch element, substrate material, exploiting with patch and ground structure with slots. Very little attention has been given to explore the pioneering approach of using different patch material improving the performance of antennas in terahertz regime. The graphene material is lately being used as patch material as it possesses a number of desirable electromagnetic and mechanical properties that assists in providing flexible and reconfigurable antenna structure. The material tunable conductivity accounts for the superior electromagnetic properties. Hence the authors have presented the simplified analytical solution for graphene surface conductivity to be utilized to characterize the graphene antenna parameters.
Analytical Modeling and Simulation of SAW Filter Using Concave
Authors: Elsherbini M. M. , Elkordy M. F. , Gomaa A. M.
Published: September 2021

A Simple novel tool has been developed to model and simulate SAW filter devices. GNU Concave; Freeware tool with open source coding has been used to specify a basic model for SAW delay lines and filters. This paper presents a way for obtaining the essential parameters of design and development of SAW devices as insertion loss. Other parameters were also predicted by within the reseach work like the radiation conductance, susceptance, Impedance, Admetance and the Frequency Response. They all calculated and plotted using Mathmatical equations drived from an equivalent model used to simulate our target. A comparision between the simulated device and an experimental puplished one has been achieved.
A Controller Design Researh Based on the Cloud Model
Authors: Jie Feng , Wang Jingfang
Published: September 2021

A novel control structure model is proposed based on cloud model for the first time．The structure model is a nonlinear model in nature, and it can be composed of a group of uncertain reasoning rules easily．NonIinear mapping characteristics of cloud model is analysed in this sudy, and the design method of the intelligent controller is presented based on the structure model, and some simulation examples are showed．
An Optimized Resonant-cap Ka-band IMPATT Oscillator for Broadband Communication
Authors: Mishra Laxmi Prasad , Mohanty Mihir Narayan , Chakraborty Sudarshan , Mitra Monojit
Published: September 2021

Demand on capacity and band width increasing day-by-day in the area of wireless communication. One of the solutions is utilization of frequency bands for broadband communication that is related to satellite communication. Mostly Ka-band is used in satellite communication. In this paper, an attempt is taken to design an optimized resonant-cap Ka-band oscillator. To obtain oscillation from Ka-band IMPATT device. It has been embedded in a resonant cavity for which resonant cap structure is used. From this study, it is found that the supply D.C voltage from the top of the diode provides a matching network between the diode and the load to achieve maximum power. Keeping the breakdown voltage of the IMPATT diode fixed, the variation of bias current helps for detailed study and mechanically tuning has been done with variation of cap height, Cap diameter as well as by varying the position of the short using sliding short tuner and verified experimentally. Optimization result is made to get maximum output with maximum efficiency for an optimized cap height, diameter, and position of sliding short tuner. With these facts the work is presented difference tuning methods for resonant cap IMPATT oscillator.
Testemunhos brasileiros que fazem memória de Jesús Martín-Barbero
Authors: Escosteguy Ana Carolina Damboriarena , Sodré Muniz , Ortiz Renato , Jacks Nilda , Rocha Simone Maria
Published: September 2021

Reunião de depoimentos em homenagem ao pesquisador Jesús Martín-Barbero, realizados por Ana Carolina Damboriarena Escosteguy, Muniz Sodré, Renato Ortiz, Nilda Jacks e Simone Maria Rocha.
Desinformações sobre gênero e sexualidade e as disputas pelos limites da moralidade
Authors: Lelo Thales Vilela , Caminhas Lorena Rúbia Pereira
Published: September 2021

O artigo analisa a circulação da desinformação no Brasil considerando seu substrato sociocultural. Investiga histórias falsas sobre gênero e sexualidade compartilhadas em 2019, argumentando que elas se inscrevem em um terreno de disputas morais. A pesquisa coletou fake news e boatos sobre esses dois marcadores nos bancos de dados de agências de fact-checking. As características narrativas das histórias falsas foram averiguadas via análise textual qualitativa e as fontes de publicação foram identificadas por pesquisa reversa em motores de busca. Dentre os principais resultados, constata-se que ao menos 65 peças de desinformação abordaram gênero e sexualidade, a maioria delas referindo-se a eventos que pautaram a agenda pública.
Vida: Direito ou Privilégio? Uma Análise da Pandemia Sob o Viés da Necropolítica
Authors: Buzzi Júlia Cristina
Published: September 2021

O presente artigo parte dos estudos de Achille Mbembe (2016) para avaliar a dimensão cultural, social e política da atual crise humanitária de covid-19. À luz do conceito de necropolítica, busca-se compreender como a pandemia contribui para classificar determinados sujeitos como descartáveis, enquanto outros são passíveis de proteção. Além disso, são analisadas lutas sociais que avançaram em meio ao atual contexto de emergência sanitária, como a legalização do aborto na Argentina e a aprovação da convocação de uma nova Assembleia Constituinte no Chile. Quanto ao desenvolvimento da argumentação, o cinema é constantemente utilizado como ferramenta para clarificar ponderações que poderiam ser demasiado abstratas, auxiliando na construção de uma visão crítica acerca do funcionamento da sociedade.
Caio Cavechini
Authors: Ramos Mariana , Matos Julia Salazar
Published: September 2021

Jornalista formado pela Universidade de São Paulo (USP), trabalhou em agências de notícias e redes de TV. Dirigiu Antes, Um Dia e Depois (2006), A Casa da Vó Neyde (2011), Jaci, Sete Pecados de uma Obra Amazônica (2015), Entre os Homens de Bem (2016) e Cercados (2020)
Olhares para o fim do mundo
Authors: Jacobina Lucas
Published: September 2021

Nome do ensaio fotográfico: Olhares para o fim do mundo. 

Descrição atualizada (Doc.Word) , favor desconsiderar a descrição anterior.
Os entregadores na pandemia: linha de frente e precarização
Authors: Oliveira Luan Bonini Bonilha de
Published: September 2021

A pandemia precarizou ainda mais o trabalho de entregadores. Diversos fatores, como aumento da jornada de trabalho e queda de valor recebido, acabam piorando ainda mais a situação dos milhares de entregadores Brasil. Famoso por ter agitado o breque dos aplicativos, o entregador galo de luta é figura fundamental na luta dos trabalhadores de entrega por melhores condições de vida. Galo é exemplo de que a luta muda a vida!
Efficacy and Safety of Ticagrelor Monotherapy by Clinical Presentation: Pre‐Specified Analysis of the GLOBAL LEADERS Trial
Authors: Vranckx Pascal , Valgimigli Marco , Odutayo Ayodele , Serruys Patrick W. , Hamm Christian , Steg Philippe Gabriel , Heg Dik , Mc Fadden Eugene P. , Onuma Yoshinobu , Benit Edouard , Janssens Luc , Diletti Roberto , Ferrario Maurizio , Huber Kurt , Räber Lorenz , Windecker Stephan , Jüni Peter ,   the GLOBAL LEADERS Investigators
Published: September 2021

Background

The optimal duration of dual antiplatelet therapy after coronary drug‐eluting stent placement in adults with stable coronary artery disease (SCAD) versus acute coronary syndromes (ACS) remains uncertain.

Methods and Results

This was a prespecified subgroup analysis of the GLOBAL LEADERS trial. Participants were randomly assigned 1:1 to the experimental or reference strategy, stratified by ACS (experimental, n=3750; reference, n=3737) versus SCAD (experimental, n=4230; reference, n=4251). The experimental strategy was 75 to 100 mg aspirin daily plus 90 mg ticagrelor twice daily for 1 month, followed by 23 months of ticagrelor monotherapy. The reference strategy was 75 to 100 mg aspirin daily plus either 75 mg clopidogrel daily (for SCAD) or 90 mg ticagrelor twice daily (for ACS) for 12 months, followed by aspirin monotherapy for 12 months. The primary end point at 2 years was a composite of all‐cause mortality or non‐fatal centrally adjudicated new Q‐wave myocardial infarction. The key secondary safety end point was site‐reported Bleeding Academic Research Consortium grade 3 or 5 bleeding. The primary end point occurred in 147 (3.92%) versus 169 (4.52%) patients with ACS (rate ratio [RR], 0.86; 95% CI, 0.69–1.08;
P
=0.189), and in 157 (3.71%) versus 180 (4.23%) patients with SCAD (RR, 0.87; 95% CI, 0.71–1.08;
P
=0.221) with experimental and reference strategy, respectively (
P
‐interaction=0.926). Bleeding Academic Research Consortium grade 3 or 5 bleeding occurred in 73 (1.95%) versus 100 (2.68%) patients with ACS (RR, 0.73; 95% CI, 0.54–0.98;
P
=0.037), and in 90 (2.13%) versus 69 (1.62%) patients with SCAD (RR, 1.32; 95% CI, 0.97–1.81;
P
=0.081;
P
‐interaction=0.007).

Conclusions

While there was no evidence for differences in efficacy between treatment strategies by subgroup, the experimental strategy appeared to reduce bleeding risk in patients with ACS but not in patients with SCAD.

Registration

URL:
https://www.clinicaltrials.gov
; Unique identifier: NCT01813435.