Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy Efficient Data Aggregation using Voronoi based Genetic Clustering Algorithm in WSN

Wireless Sensor Network is an major emerging technique in wireless communication technology for application across a wide array of domains such as the military surveillance, medical diagnosis, weather forecasting, fire detection alarming systems, etc. One of the main challenges of wireless sensor network (WSN) is how to improve its time of livelihood due to the restricted energy of sensor nodes. Data must be aggregated in order to avoid amounts of traffic in the network, limit the recourses and energy. To solve the above dilemmas , data mining process such as clustering and data aggregation is used . clustering is used to group the nodes where as data aggregation function like MIN,MAX,AVG is used for swabbing redundant data transmission and improves the life span of energy in wireless sensor network. In this paper a new approach related to Voronoi based Genetic clustering (VBGC) Algorithm is proposed for energy efficient data aggregation. Our algorithm achieves energy efficiency by reducing the number of data transmission in each round to cluster head and from it to Base station (BS) . The Base Station periodically executes the proposed algorithm to select new Cluster-Heads after a certain period of time. Simulation results reveal that our algorithm outperforms basic GA.
Computational Modeling and Analysis of Biomimetic Flight Mechanisms

Numerical simulations have been used to study the fluid dynamics associated with flapping flight modes of single as well as paired wings. The numerical solver employed is based on a sharp-interface, Cartesian grid method that allows us to simulate flow with moving boundaries on stationary Cartesian grids. Here, the simple case of normal hover is examined and the thrust production and vortex dynamics of a single wing undergoing a combined pitch-and-heave maneuver is analyzed. Following this, the fluid flow associated with a paired wing is examined with particular emphasis on the effect of phase lag between the two wings on thrust production and efficiency.
Raloxifene Suppresses Experimental Autoimmune Encephalomyelitis and NF-κB-Dependent CCL20 Expression in Reactive Astrocytes

Recent clinical data have led to the consideration of sexual steroids as new potential therapeutic tools for multiple sclerosis. Selective estrogen receptor modulators can exhibit neuroprotective effects like estrogen, with fewer systemic estrogen side effects than estrogen, offering a more promising therapeutic modality for multiple sclerosis. The important role of astrocytes in a proinflammatory effect mediated by CCL20 signaling on inflammatory cells has been documented. Their potential contribution to selective estrogen receptor modulator-mediated protection is still unknown. Using a mouse model of chronic neuroinflammation, we report that raloxifene, a selective estrogen receptor modulator, alleviated experimental autoimmune encephalomyelitis–an animal model of multiple sclerosis–and decreased astrocytic production of CCL20. Enzyme-linked immunosorbent assay, immunohistochemistry imaging and transwell migration assays revealed that reactive astrocytes express CCL20, which promotes Th17 cell migration. In cultured rodent astrocytes, raloxifene inhibited IL-1β-induced CCL20 expression and chemotaxis ability for Th17 migration, whereas the estrogen receptor antagonist ICI 182,780 blocked this effect. Western blotting further indicated that raloxifene suppresses IL-1β-induced NF-κB activation (phosphorylation of p65) and translocation but does not affect phosphorylation of IκB. In conclusion, these data demonstrate that raloxifene provides robust neuroprotection against experimental autoimmune encephalomyelitis, partially via an inhibitory action on CCL20 expression and NF-κB pathways in reactive astrocytes. Our results contribute to a better understanding of the critical roles of raloxifene in treating experimental autoimmune encephalomyelitis and uncover reactive astrocytes as a new target for the inhibitory action of estrogen receptors on chemokine CCL20 expression.
Control of the longitudinal flight dynamics of an UAV using adaptive backstepping

An adaptive backstepping approach is used to control the longitudinal dynamics of an Unmanned Air Vehicle (UAV). The nonlinear controller designed makes the system follow references in the aerodynamic velocity and ight path angle, using the elevator deections and the thrust as actuators. Moreover, the (global) solution is valid for all the ight envelope, since it is based on a general nonlinear model. The adaptation scheme proposed allowed us to design an explicit controller with a minimal knowledge of the aircraft aerodynamics. Simulations are included for a realistic UAV model that includes actuator saturation.
Improving the accomplishment of a neural network based agent for draughts that operates in a distributed learning environment

This article presents an extension to the system D-VisionDraughts: a draughts player agent based on a MultiLayer Perceptron Neural Network which operates in a distributed environment, and in a manner which distinguishes it from the current world champion Chinook, it learns without human supervision. The network weights are updated by Temporal Differences Methods using self-play with cloning technique. The best move is chosen by the parallel Alpha-Beta search algorithm called Young Brothers Wait Concept. The representation of the game board states is based on the NET-FEATUREMAP techniques (functions describing features inherent to Draughts game). This paper investigates the improvement obtained by D-VisionDraughts through the insertion of new features that allow a more precise representation of the board states. Further, the authors show to what extent the addition of new processors compensates the increase in training time that would be an obvious consequence of the optimization of the board state representation.
An Autonomous Packet Transmission Strategy for Opportunistic Wireless Sensor Networks

We consider a wireless sensor network that comprises a single hop between the sensor nodes and the central controller node with multiple antennas. In this system model, we concentrate on the single-beam opportunistic communication and propose two novel packet transmission schemes that can perform multiuser diversity gain based on the signal-to-noise ratio (SNR) and the normalized SNR (NSNR) measurements at the sensor nodes with single antenna. The main objective of the multiuser diversity is to increase the total throughput over the fast fading channels. Proposed schemes are based on the principle of cross-layer design that integrates with physical layer characteristics of wireless channel and medium access control (MAC) layer characteristics of network. In our design, we assume that the sensor nodes know only their own channels to the controller node and the packet transfer from the sensor nodes to the controller node is initiated when the channel quality of any node exceeds the predefined threshold at the current time slot. To determine the optimum threshold, we maximize the probability of successful packet transmission where only one sensor node transmits its packet in one time slot under the simplified collision model. Simulation results are demonstrated to compare the performance of the proposed schemes in terms of throughput, energy efficiency, and fairness. The obtained results show that the presented opportunistic strategy can be used to improve the network throughput.
Significance of dysfunctional glutamatergic transmission for the development of psychotic symptoms.

It has been postulated that disturbances in glutamatergic transmission may contribute to the pathophysiology of schizophrenia. This view is based on several findings: (1) the noncompetitive NMDA receptor antagonists, phencyclidine and ketamine, induce both positive and negative psychotic symptoms in humans, which closely resemble those observed in schizophrenia; (2) a number of animal studies have shown that neuroleptics that ameliorate symptoms of schizophrenia (e.g. clozapine) also inhibit the effects of NMDA antagonists; (3) postmortem and in vivo studies have revealed alterations in ionotropic glutamate receptors (NMDA, AMPA, KA) and their modulatory sites in schizophrenia; (4) compounds enhancing the function of NMDA receptors potentiate the antipsychotic effects of neuroleptics in schizophrenic patients.
An Approach for Fully Integrated Automation in Heterogeneous Industrial Control Network

An approach for fully integrated automation with Profibus and protocol conversion gateway is proposed and implemented within an industrial control network consisting of different kinds of devices, as there are several fieldbus subsystems and Ethernet segment coexisting. Based on the analysis of Profibus protocol, a design scheme for Profibus-DP communication interface to implement master or slave functions was presented. Aiming at realizing interoperation between Profibus devices and other fieldbus devices, a gateway system for protocol conversion is designed. Profinet technology is adopted to encapsulate Profibus devices into Profinet components, which provides an efficient way to connect fieldbus device to industrial Ethernet by means of node-to-node communication.
No Polymorphism in Plasmodium falciparum K13 Propeller Gene in Clinical Isolates from Kolkata, India

Molecular markers associated with artemisinin resistance in Plasmodium falciparum are yet to be well defined. Recent studies showed that polymorphisms in K13 gene are associated with artemisinin resistance. The present study was designed to know the pattern of polymorphisms in propeller region of K13 gene among the clinical isolates collected from urban Kolkata after five years of ACT implementation. We collected 59 clinical isolates from urban Kolkata and sequenced propeller region of K13 gene in 51 isolates successfully. We did not find any mutation in any isolate. All patients responded to the ACT, a combination of artesunate + sulphadoxine-pyrimethamine. The drug regimen is still effective in the study area and there is no sign of emergence of resistance against artemisinin as evidenced by wild genotype of K13 gene in all isolates studied.
The hypersecant Jacobian approximation for quasi-Newton solves of sparse nonlinear systems

A new Jacobian approximation is developed for use in quasi-Newton methods for solving systems of nonlinear equations. The new hypersecant Jacobian approximation is intended for the special case where the evaluation of the functions whose roots are sought dominates the computation time, and additionally the Jacobian is sparse. One example of such a case is the solution of the discretized transport equation to calculate particle and energy fluxes in a fusion plasma. The hypersecant approximation of the Jacobian is calculated using function values from previous Newton iterations, similarly to the Broyden approximation. Unlike Broyden, the hypersecant Jacobian converges to the finite-difference approximation of the Jacobian. The calculation of the hypersecant Jacobian elements requires solving small, dense linear systems, where the coefficient matrices can be ill-conditioned or even exactly singular. Singular-value decomposition (SVD) is therefore used. Convergence comparisons of the hypersecant method, the standard Broyden method, and the colored finite differencing of the PETSc SNES solver are presented.
A New Method for Constructing Classifier Ensembles

Usage of recognition systems has found many applications in almost all fields. However, Most of classification algorithm s have obtained good performance for specific problems; they h ave not enough robustness for other problems. Combination of multiple classifiers can be considered as a general solution method fo r pattern recognition problems. It has been shown that combination of classifiers can usually operate better than single classifie r provided that its components are independent or they have diverse outputs. It was shown that the necessary diversity of an ensemble can be achieved manipulation of data set features. We also propose a new method of creating this diversity. The ensemble created by proposed method may not always outperforms all classifiers ex isting in it, it is always possesses the diversity needed for creation of ensemble, and consequently it always outperforms the simple classifier.
The Statistics of Optical Flow 1

When processing image sequences some representation of image motion must be derived as a first stage. The most often used representation is the optical flow field, which is a set of velocity measurements of image patterns. It is well known that it is very difficult to estimate accurate optical flow at locations in an image which correspond to scene discontinuities. What is less well known, however, is that even at the locations corresponding to smooth scene surfaces, the optical flow field often cannot be estimated accurately. Noise in the data causes many optical flow estimation techniques to give biased flow estimates. Very often there is consistent bias: the estimate tends to be an underestimate in length and to be in a direction closer to the majority of the gradients in the patch. This paper studies all three major categories of flow estimation methods—gradient-based, energy-based, and correlation methods, and it analyzes different ways of compounding one-dimensional motion estimates (image gradients, spatiotemporal frequency triplets, local correlation estimates) into two-dimensional velocity estimates, including linear and nonlinear methods. Correcting for the bias would require knowledge of the noise parameters. In many situations, however, these are difficult to estimate accurately, as they change with the dynamic imagery in unpredictable and complex ways. Thus, the bias really is a problem inherent to optical flow estimation. We argue that the bias is also integral to the human visual system. It is the cause of the illusory perception of motion in the Ouchi pattern and also explains various psychophysical studies of the perception of moving plaids. c © 2001 Academic Press
Automatic thesaurus construction for cross generation corpus

This article describes methods for semiautomatic thesaurus construction, for a cross generation, cross genre, and cross cultural corpus. Semiautomatic thesaurus construction is a complex task, and applying it on a cross generation corpus brings its own challenges. We used a Jewish juristic corpus containing documents and genres that were written across 2000 years, and contain a mix of different languages, dialects, geographies, and writing styles. We evaluated different first and second order methods, and introduced a special annotation scheme for this problem, which showed that first order methods performed surprisingly well. We found that in our case, improving the coverage is the more difficult task, for this we introduce a new algorithm to increase recall (coverage)—which is applicable to many other problems as well, and demonstrates significant improvement in our corpus.
Open Source Software-Defined Radio: A survey on GNUradio and its applications

This report analyzes the feasibility of using a Software Defined Radio solution for research purposes. We focused on the open source GNUradio project and studied its suitability for reproducing and analyzing some widespread wireless protocols, such as IEEE 802.11, Bluetooth, IEEE 802.15. 4, and GSM. We found that the use of GNUradio with the Universal Software Radio Peripheral can help researchers in avoiding the closed source firmwares/drivers of commercial chipsets by providing a full customizability at physical and datalink layers. On the other hand, software radios are not always capable of correctly reproducing operations previously done in the hardware domain. This leads to several limitations with widespread standards. In this report we try to provide a picture of such limitations and the current status of the GNUradio framework. This work has been supported by the Telecommunications Research Center Vienna (ftw.) project N0. Ftw is supported by the Austrian Government and by the City of Vienna within the competence center program COMET. This work would not have been possible without the precious information contained in the official GNUradio mailing list archive. A special thanks goes to all the active participants.
Next-Generation Passive Optical Network Based on OFDM Transmission

We investigate passive optical network (PON) based on optical orthogonal frequency division multiplexing (OFDM) transmission as a solution for next-generation optical access network. Compared with other PONs, the system improves the bandwidth efficiency and increases the flexibility to allocate resource dynamically among various services. We present simulation results on the bit error rate (BER) performance of OFDM signal with quadrature amplitude modulation (QAM) after 20km fiber transmission. It is shown that significant progress mainly relies on the implementation of high-speed digital signal processing (DSP).
Using Knowledge Base and DSS to Fill the Gaps in Agile Methodologies for Managing Project Life Cycles

Current software development methodologies for projects management are based on last methodologies as Agile. In this paper we propose an innovative methodology for project management. This is done by emphasizing quality management, software development, skills, team values, etc. Our vision began by analyzing these keys concepts. Then studying the used methodologies. Proposing precise process and skills are our priority. The uncertain situation are also taking into account in our approach. Our vision is to refine the methodology used for the management, find an answer for uncertain situations, to make the right decision for each stage of life cycle of the project. All these all points are the keys of our methodology. This brings us back to the spirit of Decision Support System, which is one of the pillars of this methodology. With the principles of DSS, we refine the quality of Agile methods. The project may have a sequel or prospects (especially the side research and innovation). The best solutions are offered. Similarity and reusability are important in our methodology. Choose the best skills will be the case study of our approach in this paper.
Growth-Dependent Catalase Localization in Exiguobacterium oxidotolerans T-2-2T Reflected by Catalase Activity of Cells

A psychrotolerant and H2O2-resistant bacterium, Exiguobacterium oxidotolerans T-2-2T, exhibits extraordinary H2O2 resistance and produces catalase not only intracellularly but also extracellularly. The intracellular and extracellular catalases exhibited the same enzymatic characteristics, that is, they exhibited the temperature-dependent activity characteristic of a cold-adapted enzyme, their heat stabilities were similar to those of mesophilic enzymes and very high catalytic intensity. In addition, catalase gene analysis indicated that the bacterium possessed the sole clade 1 catalase gene corresponding to intracellular catalase. Hence, intracellular catalase is secreted into the extracellular space. In addition to intracellular and extracellular catalases, the inner circumference of the cells showed the localization of catalase in the mid-stationary growth phase, which was observed by immunoelectron microscopy using an antibody against the intracellular catalase of the strain. The cells demonstrated higher catalase activity in the mid-stationary growth phase than in the exponential growth phase. The catalase localized in the inner circumference can be dissociated by treatment with Tween 60. Thus, the localized catalase is not tightly bound to the inner circumference of the cells and may play a role in the oxidative defense of the cells under low metabolic state.
Parkinson's Disease and Forced Exercise: A Preliminary Study

Objective. The concept of forced exercise has drawn attention for the treatment of Parkinson's disease symptoms with anecdotal reports of success. This study sought to ascertain any significant effect of forced exercise using a motorized stationary bicycle when compared to controls on Parkinson's disease symptoms in a blinded, randomized, and controlled setting. Setting. Parkinson's disease outpatient clinic, Veterans Administration Medical Center. Method. We assessed 23 patients (13 experimental and 10 controls) on a number of standard Parkinson's measures at baseline, after participation in eight weeks of twice weekly forced exercise or eight weeks of conventional clinic care, and then after a three-month period had elapsed. Dependent measures were UPDRS-III, Berg Balance Scale, finger taping test, and the PDQ-39. Results. Results did not demonstrate any main effect differences between the exercise and control groups on any measure at any point in time. A within subjects effect was demonstrated for the forced exercise group on overall UPDRS-III scores at the three-month end point. No other within group effects were noted. Results suggest that early enthusiasm for forced exercise may need tempering. Limitations of the study are discussed as well as numerous logistical challenges to this type of study.
The Effect of Regulatory Focus and Performance Feedback on Entrepreneurial Intention: A Simulation Experiment Study

Entrepreneurship has gained a lot of theoretical and practical attentions. Adopting the research method of simulation experiments, this study explored the dynamic process and mechanisms of entrepreneurial decision-making, specifically the effect of regulatory focus and past performance feedback on the entrepreneurial intention. Using a sample of 64 MBA and business management majored students, we conducted a laboratory-based simulation experiment study. Based on the experiment data, we mainly took repeated measures variance analysis to test our hypothesis. The results indicate that, (1) The level of entrepreneurial intention under promotion focus situations is higher than that under prevention focus situations. (2) With a positive past performance feedback, the entrepreneurial intention is higher than that of negative past performance feedback. (3) Contextual regulatory focus and previous performance feedback have an interactive effect on the level of entrepreneurial intention; under the negative performance feedback, the gap of entrepreneurial intention between the promotion regulatory focus and prevention one is much wider, while under the positive performance feedback, the gap is relatively narrower. That is to say, under the positive performance feedback, the prevention regulatory focus group has experienced a greater increase in their entrepreneurial intention. Finally, the implication of these results are discussed as well.