Miracle-dz/UniFAR-FTUs huggingface dataset:
A Smart Crypto Scheme for Multi Owner Data Authentication over Cloud Service

The proposed system implements a prevention technique to protect trespassers, the trespassers is someone who intrudes on the privacy or property of another without permission. This also helps to avoid brute force and dictionary attacks. Text password is the most popular form of user authentication on websites due to its convenience and simplicity. Firstly, users often select weak passwords and reuse the same passwords across different websites. Routinely reusing or using passwords on different unknown machine causes a domino effect; when an adversary compromises one password, she will exploit it to gain access to more websites. Second, typing passwords into un trusted computers suffers password thief threat. An adversary can launch several password stealing attacks to snatch passwords, such as phishing, key loggers and malware . In this paper, we design a user authentication protocol that only requires each participating website possesses a unique phone Number, and involves a telecommunication service provider in registration and recovery phases. Through SMS the encrypted password will be send to the user. The user should forward the same message with their security answer to the server. The server will verify the details and allow them to access their personal page. Here also problem occurs if the user have joint account, here the SMS send to both the person, if one is using net banking then the message is send to both the user from the server side, and then ask for permission whether the other one can use net banking, if the other one says yes to this queries, the other one can start his/her transactions in a secure manner.
NICMOS Coronagraphic Observations of 55 Cancri

We present new near-infrared (1.1 μm) observations of the circumstellar environment of the planet-bearing star 55 Cancri. With these Hubble Space Telescope (HST) images we are unable to confirm the observation of bright scattered radiation at longer NIR wavelengths previously reported by Trilling and coworkers. NICMOS coronagraphic images with detection sensitivities to ∼100 μJy arcsec-2 at 1.1 μm in the region 28–60 AU from the star fail to reveal any significant excess flux in point-spread function (PSF) subtracted images taken in two HST orbits. These new observations place flux densities in the 19–28 AU zone at a factor of 10 or more below the reported ground-based observations. Applying a suite of a dozen well-matched coronagraphic reference PSFs, including one obtained in the same orbits as the observations of 55 Cnc, yielded consistently null results in detecting a disk. We also searched for and failed to find a suggested flux-excess anisotropy in the ratio of ∼1.7 : 1 in the circumstellar background along and orthogonal to the plane of the putative disk. We suggest that, if such a disk does exist, then the total 1.1 μm spectral flux density in an annular zone 28–42 AU from the star must be no more than ∼0.4 mJy, at least 10 times smaller than suggested by Trilling and Brown, upon which their very large estimate for the total dust mass (0.4 M⊕) was based. Based on the far-infrared and submillimeter flux of this system and observations of scattered light and thermal emission from other debris disks, we also expect the intensity of the scattered light to be at least an order of magnitude below our upper limits.
Synaptic Strengthening Mediated by Bone Morphogenetic Protein-Dependent Retrograde Signaling in the Drosophila CNS

Retrograde signaling is an essential component of synaptic development and physiology. Previous studies show that bone morphogenetic protein (BMP)-dependent retrograde signaling is required for the proper development of the neuromuscular junction (NMJ) in Drosophila. These studies, moreover, raised the significant possibility that the development of central motor circuitry might similarly be reliant on such signaling. To test this hypothesis, retrograde signaling between postsynaptic motoneurons and their presynaptic interneurons is examined. Postsynaptic expression of an adenylate cyclase encoded by rutabaga (rut), is sufficient to strengthen synaptic transmission at these identified central synapses. Results are presented to show that the underlying mechanism is dependent on BMP retrograde signaling. Thus, presynaptic expression of an activated TGF-β receptor, thickvien (tkv), or postsynaptic expression of a TGF-β ligand, glass-bottom boat (gbb), is sufficient to phenocopy strengthening of synaptic transmission. In the absence of gbb, endogenous synaptic transmission is significantly weakened and, moreover, postsynaptic overexpression of rut is unable to potentiate synaptic function. Potentiation of presynaptic neurotransmitter release, mediated by increased postsynaptic expression of gbb, is dependent on normal cholinergic activity, indicative that either the secretion of this retrograde signal, or its transduction, is activity dependent. Thus, in addition to the development of the NMJ and expression of myoactive FMRFamide-like peptides in specific central neurons, the results of the present study indicate that this retrograde signaling cascade also integrates the development and function of central motor circuitry that controls movement in Drosophila larvae.
Protein protein interaction network comparison and emulation

The (asymptotic) degree distribution of the best known scale free network models are all similar and are independent of the seed graph used. Hence it has been tempting to assume that networks generated by these models are similar in general. In this thesis it is shown that several key topological features of such networks depend heavily on the specific model and seed graph used. Furthermore, it is shown that starting with right seed graph, the duplication model captures many topological features of publicly available PPI networks very well. keywords: protein-protein interaction networks,topological properties,duplication model. T o my beloved parents. "Animals, whom we have made our slaves, we do not like to consider our equal" CHARLES DARWIN
Relationship of tobacco smoking with serum vitamin B12, folic acid and haematological indices in healthy adults

Abstract Objectives: To investigate the effects of tobacco smoking on serum vitamin B12, folic acid and haematological parameters in healthy Thai smokers and non-smokers. Design: Cross-sectional study of smokers and non-smokers in a military unit in Bangkok, Thailand. Setting: A military unit in Thailand. Subjects: One hundred and twenty-three male smokers from a military unit in Bangkok, who participated voluntarily in the study, were investigated. Sixty-six male non-smokers from the same unit were selected as controls. Fasting blood samples were collected for investigation of vitamin B12, folic acid and haematological variables. Results: The serum folic acid concentration of smokers was lower than that of non-smokers, but was not statistically significantly different. Haemoglobin was lower in smokers than in non-smokers; 16.3% of smokers were anaemic compared with only 3.0% of non-smokers. Anaemia was not related to folate deficiency. The white blood cell count was found to be higher in smokers than in non-smokers. Conclusion: The results of this study suggest that there were low serum folic acid concentrations in smokers compared with non-smokers, which might contribute to the development of vascular and cardiovascular diseases. The higher white blood cell count might be indicative alterations in the immune functions of smokers.
Weighted Data Normalization and Feature Selection for Evolving Connectionist Systems Proceedings

This paper introduces a method for weighted data normalization (WDN) that optimizes the normalization ranges for the input variables of an evolving connectionist system (ECOS). ECOS perform incremental, local area learning based on clustering. A genetic algorithm is used as part of the WDN method. The derived weights have the meaning of feature importance and are used to select a minimum set of variables (features) that optimize the performance of the ECOS. The method is il lustrated on two types of ECOS. The first one is for time series prediction and the second one is an original ECOS for classification, proposed in this paper.
Stator Fault Diagnostics in Squirrel Cage Three-Phase Induction Motor Drives Using the Instantaneous Active and Reactive Power Signature Analyses

In this paper, the instantaneous active and reactive power signature analyses are presented for stator fault diagnosis in operating squirrel cage three-phase induction motors either directly connected to the mains or fed from inverters. Both simulation and experimental results are presented to show the effectiveness and the merits of the proposed approach that offers the possibility to detect this type of fault and to discriminate it from other abnormality conditions responsible for the same motor behavior by comparing the signature analyses of the two considered quantities.
Biology Based Alignments of Paraphrases for Sentence Compression

In this paper, we present a study for extracting and aligning paraphrases in the context of Sentence Compression. First, we justify the application of a new measure for the automatic extraction of paraphrase corpora. Second, we discuss the work done by (Barzilay & Lee, 2003) who use clustering of paraphrases to induce rewriting rules. We will see, through classical visualization methodologies (Kruskal & Wish, 1977) and exhaustive experiments, that clustering may not be the best approach for automatic pattern identification. Finally, we will provide some results of different biology based methodologies for pairwise paraphrase alignment.
Diffusions on the simplex from Brownian motions on hypersurfaces

The (n — 1)-dimensional simplex is the collection of probability measures on a set with n points. Many applied situations result in simplex-valued data or in stochastic processes that have the simplex as their state space. In this paper we study a large class of simplex-valued diffusion processes that are constructed by first "coordinatising" the simplex with the points of a smooth hypersurface in such a way that several points on the hypersurface may correspond to a given point on the simplex, and then mapping forward the canonical Brownian motion on the hypersurface. For example, a particular instance of the Fleming-Viot process on n points arises from Brownian motion on the (n — 1)-dimensional sphere. The Brownian motion on the hypersurface has the normalised Riemannian volume as its equilibrium distribution. It is straightforward to compute the corresponding distribution on the simplex, and this provides a large class of interesting probability measures on the simplex.
Endogenous Brain-Derived Neurotrophic Factor in the Nucleus Tractus Solitarius Tonically Regulates Synaptic and Autonomic Function

Brain-derived neurotrophic factor (BDNF) and its receptor, TrkB, are highly expressed in the nucleus tractus solitarius (nTS), the principal target of cardiovascular primary afferent input to the brainstem. However, little is known about the role of BDNF signaling in nTS in cardiovascular homeostasis. We examined whether BDNF in nTS modulates cardiovascular function in vivo and regulates synaptic and/or neuronal activity in isolated brainstem slices. Microinjection of BDNF into the rat medial nTS (mnTS), a region critical for baroreflex control of sympathetic outflow, produced dose-dependent increases in mean arterial pressure (MAP), heart rate (HR), and lumbar sympathetic nerve activity (LSNA) that were blocked by the tyrosine kinase inhibitor K252a. In contrast, immunoneutralization of endogenous BDNF (anti-BDNF), or microinjection of K252a alone, decreased MAP, HR, and LSNA. The effects of anti-BDNF were abolished by blockade of ionotropic glutamate receptors, indicating a role for glutamate signaling in the response to BDNF. In vitro, BDNF reduced the amplitude of miniature EPSCs as well as solitary tract (TS) evoked EPSC amplitude and action potential discharge (APD) in second-order nTS neurons. BDNF effects on EPSCs were independent of GABAergic signaling and abolished by AMPA receptor blockade. In contrast, K252a increased spontaneous EPSC frequency and TS evoked EPSC amplitude. BDNF also attenuated APD evoked by injection of depolarizing current into second-order neurons, indicating reduced intrinsic neuronal excitability. Our data demonstrate that BDNF signaling in mnTS plays a tonic role in regulating cardiovascular function, likely via modulation of primary afferent glutamatergic excitatory transmission and neural activity.
Reading in two writing systems: Accommodation and assimilation of the brain's reading network

Bilingual reading can require more than knowing two languages. Learners must acquire also the writing conventions of their second language, which can differ in its deep mapping principles (writing system) and its visual configurations (script). We review ERP (event-related potential) and fMRI studies of both Chinese–English bilingualism and Chinese second language learning that bear on the system accommodation hypothesis: the neural networks acquired for one system must be modified to accommodate the demands of a new system. ERP bilingual studies demonstrate temporal indicators of the brain's experience with L1 and L2 and with the frequency of encounters of words in L2. ERP learning studies show that early visual processing differences between L1 and L2 diminish during a second term of study. fMRI studies of learning converge in finding that learners recruit bilateral occipital-temporal and also middle frontal areas when reading Chinese, similar to the pattern of native speakers and different from alphabetic reading. The evidence suggests an asymmetry: alphabetic readers have a neural network that accommodates the demands of Chinese by recruiting neural structures less needed for alphabetic reading. Chinese readers have a neural network that partly assimilates English into the Chinese system, especially in the visual stages of word identification.
Realization of adaptive NEXT canceller for ADSL on DSP kit

Crosstalk canceller plays a key role in achieving high bit rates in wire line multicarrier Asymmetric Digital Subscriber Line (ADSL) systems. Adjacent systems within a cable binder that transmit or receive data in the same frequency range can create crosstalk interference. In an ongoing effort to study and improve the performance of ADSL Central office and CPE modems, the effect of Near-end crosstalk (NEXT) is examined. In this paper we introduce filter for NEXT mitigation to improve signal to noise ratio (SNR) at the input of the receiver which improves data rate. An Adaptive LMS filter to eliminate the effect of NEXT is designed. Adaptive LMS filter simulation was done in Matlab environment and also implemented on TMS 320C 6713 DSP. An analysis of the Receiver output with and without filter is presented for various lengths. Results presented shows an improvement in SNR with this filter. Efficient bit loading strategies can be adopted to provide a higher user data rate in the presence of NEXT.
Coordinated Ramp Metering and Intersection Signal Control

The operations of freeway ramp metering and urban traffic network signal control are independent in most areas. Such situation may cause some conflict between traffic streams of the two subsystems, or, at least, their dynamic interactions have not been taken into account from an overall system viewpoint. Traffic performance can be improved if the controls of these two subnetworks are integrated. This paper proposes a novel signal control strategy for the feeding intersection and a coordination strategy for integrating it with the corresponding freeway onramp metering. UP ALINEA with queue-overwrite is used for the ramp metering. A signal optimization, which takes into account the available ramp space and traffic demand, is developed for intersection signal control. A calibrated micro-simulation is used to compare the proposed control/coordination strategies and current control plans in the field. Simulation result shows that, even though the overall system performance only gets a marginal improvement, intersection delay reduces significantly.
K-strings algorithm, a new approach based on Kmeans

K-means is a popular clustering algorithm which is widely used in anomaly-based intrusion detection. It tries to classify a given data set into k (a predefined number) categories. However, to apply to a high dimensional dataset, we believe that the calculated distance of the multitude of different attributes along with diverse ranges, that depend on a sole center point are not fair and limit the chance to generate good quality clusters. Aiming to cluster a high dimensional dataset more effective, we propose K-string clustering algorithm in this paper. In which, we obtain a set of center points, that play the role as the backbone of a cluster, instead of a unique centroid to generate clusters. To evaluate we use fitness function, and absolutely the output clusters shown a competition results when comparing to K-means algorithm and Genetic Algorithm [6].
The Ocean’s Effect on the Intensity of Tropical Cyclones: Results from a Simple Coupled Atmosphere–Ocean Model

Abstract A coupled hurricane–ocean model was constructed from an axisymmetric hurricane model and a three-layer ocean model. If the hurricane moves at constant speed across the ocean a statistically steady state (in a reference frame moving with the storm) is reached after a few days of simulation time. The steady-state intensity of the hurricane is strongly affected by the interaction with the ocean. This interaction with the ocean can be described as a negative feedback effect on the hurricane’s intensity and is called “SST feedback. ” A large set of numerical experiments was performed with the coupled model to deduce systematically the dependence of the amplitude of the SST feedback effect on a set of model parameters. In the coupled model the SST feedback effect can reduce the hurricane’s intensity by more than 50%. Only in cases of rapidly moving storms over deep oceanic mixed layers is the SST feedback effect of minor importance. These results cast a new light on the role of the ocean in limiting hur.
Science, Technology, Engineering, and Mathematics Project-Based Learning: Merging Rigor and Relevance to Increase Student Engagement

Increasing rigor and keeping students engaged in the classroom has become essential in the education of today’s youth. Science, technology, engineering, and mathematics (STEM) project-based learning (PBL) has increasingly become more popular in education today as the demand for collaborative problem solvers increases in the job market. STEM PBL is an instructional method that blends rigor and relevance by providing the means to connect relevant real-world situations while maintaining high expectations of student achievement and increasing engagement. In order to study the effects of STEM PBL on student engagement, a quasi-experimental design was used. Quantitative data from the three focus groups were collected to assess student engagement within a STEM PBL classroom compared to a non-STEM PBL classroom. An exploratory factor analysis was preformed to more closely examine the 8 engagement structures and resulted in the creation of two higher order factors, (1) academic engagement (AE) and (2) behavioral engagement (BE). The results can be used to verify that there exists an improvement in student academic engagement between the intervention groups, comparing traditional mathematics lessons verses STEM PBL lessons. The results showed that the academic rigor and relevance provided through STEM PBL lessons increase students’ academic engagement.
Determination of step rate thresholds corresponding to physical activity intensity classifications in adults.

BACKGROUND Current recommendations call for adults to be physically active at moderate and/or vigorous intensities. Given the popularity of walking and running, the use of step rates may provide a practical and inexpensive means to evaluate ambulatory intensity. Thus, the purpose of this study was to identify step rate thresholds that correspond to various intensity classifications. METHODS Oxygen consumption was measured at rest and during 10 minute treadmill walking and running trials at 6 standardized speeds (54, 80, 107, 134, 161, and 188 m·min⁻¹) in 9 men and 10 women (28.8 ± 6.8 yrs). Two observers counted the participants' steps at each treadmill speed. Linear and nonlinear regression analyses were used to develop prediction equations to ascertain step rate thresholds at various intensities. RESULTS Nonlinear regression analysis of the metabolic cost versus step rates across all treadmill speeds yielded the highest R² values for men (R² = .91) and women (R² = .79). For men, the nonlinear analysis yielded 94 and 125 step·min⁻¹ for moderate and vigorous intensities, respectively. For women, 99 and 135 step·min⁻¹ corresponded with moderate and vigorous intensities, respectively. CONCLUSIONS Promoting a step rate of 100 step·min⁻¹ may serve as a practical public health recommendation to exercise at moderate intensity.
A Simulation Model that Decreases Faculty Concerns about Adopting Web-Based Instruction

Faculty members have different concerns as they integrate new technology into their teaching practices. The integration of Web-Based Instruction in higher-education settings will not be successful if these faculty concerns are not addressed. Four main stages of faculty concern (information, personal, management, and impact) were identified based on Hall’s concern-based adoption model. By reviewing the literature on the diffusion of on-line education, the author identified support factors that may decrease faculty concerns about adopting WBI. System dynamics was used to examine associations between faculty concerns and these support factors. Based on these associations, a simulation model was built using STELLA to test the potential impact of support factors on the adoption of WBI by faculty members. The simulation model will aid educators and administrators in evaluating the impacts of support factors on the adoption of WBI.
Instruction selection for embedded DSPs with complex instructions

We address the problem of instruction selection in code generation for embedded digital signal processors. Recent work has shown that this task can be efficiently solved by tree covering with dynamic programming, even in combination with the task of register allocation. However, performing instruction selection by tree covering only does not exploit available instruction level parallelism, for instance in form of multiply-accumulate instructions or parallel data moves. In this paper we investigate how such complex instructions may affect detection of optimal tree covers, and we present a two-phase scheme for instruction selection which exploits available instruction-level parallelism. At the expense of higher compilation time, this technique may significantly increase the code quality compared to previous work, which is demonstrated for a widespread DSP.