Miracle-dz/UniFAR-FTUs huggingface dataset:
A new hybrid security allocation steganography algorithm

Security, authentication, and identification are essential requirement for confidential data transmission. The will known methods of data encryption attain certain security levels, they make the encrypted data unreadable and unnatural this attracts some unintended observer attention. To search for a higher security approach, Steganography and Cryptography are two popular ways of sending vital information in a secret way. One hides the existence of the message and the other converts the message into an unreadable format. This paper, describes a method for integrating the advantages of Cryptography and Steganography together through image processing. The paper introduces a New Hybrid Security message Allocation Algorithm (NHSA) to achieve a higher level of security. The statistical evaluation of this system shows that, a higher PSNR and MSE are achieved comparing with the other systems.
Relationship between Nutritional Status and Functional Capacity for Older People

Functional capacity is the condition of an individual living independently and the lack of it for preparing and eating food, which is a factor that can result in malnutrition and deserves the attention of professionals and his family members. Then, the aim of this work was to evaluate the relationship between nutritional status and functional capacity for older adults using anthropometric measures and questionnaires for activities of daily and instrumental living. It was an epidemiological cross-sectional study using a representative sample of older adults selected from a previous study about quality of life in a Botucatu city, Sao Paulo. Brazil. The sample size was calculated considering 95% of reliability and 5% of error margin, resulting from a total of 365 individuals of both sexes but only 361 of them completed the protocol. Data included sociodemographic and morbidities questionnaires, activities of daily and instrumental living (ADL and IADL) and an-thropometric variables. 62.6% of the older were women, 44.68% were hypertensive, 28.81% were diabetic and 15.51% had hypercholesterolemia. 94.24% and 92.42% of the older were fully independent for ADL and IADL, respectively. Associations between ADL with marital status and schooling were found as well as with IADL. Also, it was found association with IADL and heart disease. Regarding anthropometry most of measures when compared men and women were significant. No significant association was found between nutritional status and ADL. A logistic regression model was fitted considering ADL as a response variable showed BMI as a protection factor and WC as a risk factor for dependence. For IADL, heart disease was a risk factor for dependence. In conclusion, low weight and increased waist circumference have influence in a functional capacity of older adults according to the activities daily living (ADL) and heart disease for IADL.
Local Recovery for High Availability in Strongly Consistent Cloud Services

Emerging cloud-based network services must deliver both good performance and high availability. Achieving both of these goals requires content replication across multiple sites. Many cloud-based services either require or would benefit from the semantics and simplicity of strong consistency. However, replication techniques for strong consistency can severely limit the availability of replicated services when recovering large data objects over wide-area links. To address this problem, we present the design and implementation of Zorfu, a hierarchical system architecture for replication across data centers. The primary contribution of Zorfu is a local recovery technique that significantly increases availability of replicated strongly consistent services. Local recovery achieves this by reducing the recovery time by an order of magnitude, while imposing only a negligible latency overhead. Experimental results show that Zorfu can recover a 100 MB object in 4 ms.
V474 Car: A RARE HALO RS CVn BINARY IN RETROGRADE GALACTIC ORBIT

We report the discovery that the star V474 Car is an extremely active, high velocity halo RS CVn system. The star was originally identified as a possible pre-main-sequence star in Carina, given its enhanced stellar activity, rapid rotation (10.3 days), enhanced Li, and absolute magnitude which places it above the main sequence (MS). However, its extreme radial velocity (264 km s−1) suggested that this system was unlike any previously known pre-MS system. Our detailed spectroscopic analysis of echelle spectra taken with the CTIO 4 m finds that V474 Car is both a spectroscopic binary with an orbital period similar to the photometric rotation period and metal-poor ([Fe/H] ≃−0.99). The star's Galactic orbit is extremely eccentric (e ≃ 0.93) with a perigalacticon of only ∼0.3 kpc of the Galactic center—and the eccentricity and smallness of its perigalacticon are surpassed by only ∼0.05% of local F/G-type field stars. The observed characteristics are consistent with V474 Car being a high-velocity, metal-poor, tidally locked, chromospherically active binary, i.e., a halo RS CVn binary, and one of only a few such specimens known.
The Meditation Chamber: Enacting Autonomic Senses

The Meditation Chamber is a novel combination of immersive virtual reality (VR) and biofeedback technologies. Its primary goal is to help users lower their stress levels through meditation and muscle relaxation. Its secondary goal is to enable users who have never meditated to gain real-time feedback that allows them to sense when they are indeed lowering the physiological states that are indicative of meditating. During its first use ‐ an exhibition at SIGGRAPH 2001, between Emerging Technologies and the Art Gallery — the relaxation levels of 411 users were studied. It is now in use at Virtually Better and its clinical partners. This paper explores its first iteration, and outlines the plan for its reconfigured, second use for the treatment of chronic pain.
A Head Scheduling Scheme for Heterogeneous Clustered Sensor Networks

Organizing wireless sensor networks into clusters enables the efficient utilization of the limited energy resources of the deployed sensor nodes. If the network is organized into heterogeneous clusters, where some more powerful nodes take on the cluster head role to control network operation, it is important to ensure that energy dissipation of these cluster heads and "critical sensor nodes" is balanced. We propose a Cluster Head Scheduling scheme to determine which cluster head should be turned off or on. The proposed mechanism is based on the coverage information as well as residual battery power, which can lead to more uniform energy dissipation among cluster head nodes and critical sensor nodes, thus increasing network lifetime. Moreover, the proposed scheme strengthens the robustness of heterogeneous sensor networks.
Robust speed control for a variable speed wind turbine

Modern wind turbines are designed in order to work in variable speed operations. To perform this task, these turbines are provided with adjustable speed generators, like the double feed induction generator (DFIG). One of the main advantages of adjustable speed generators is improving the system efficiency compared with fixed speed generators, because turbine speed can be adjusted as a function of wind speed in order to maximize the output power. However, this system requires a suitable speed controller in order to track the optimal reference speed of the wind turbine. In this work, a sliding mode control for variable speed wind turbines is proposed. The proposed design also uses the vector oriented control theory in order to simplify the DFIG dynamical equations. The stability analysis of the proposed controller has been carried out under wind variations and parameter uncertainties using the Lyapunov stability theory. Finally, the simulated results show on the one hand that the proposed controller provides a high-performance dynamic behavior, and on the other hand that this scheme is robust with respect to parameter uncertainties and wind speed variations, which usually appear in real systems.
Synthesis Methodology Applied to a Tunable Patch Filter With Independent Frequency and Bandwidth Control

A new methodology for the synthesis of tunable patch filters is presented. The methodology helps the designer to perform a theoretical analysis of the filter through a coupling matrix that includes the effect of the tuning elements used to tune the filter. This general methodology accounts for any tuning parameter desired and was applied to the design of a tunable dual-mode patch filter with independent control of center frequency and bandwidth (BW). The bandpass filter uses a single triangular resonator with two etched slots that split the fundamental degenerate modes and form the filter passband. Varactor diodes assembled across the slots are used to vary the frequency of each degenerate fundamental mode independently, which is feasible due to the nature of the coupling scheme of the filter. The varactor diode model used in simulations, their assembling, the dc bias configuration, and measured results are presented. The theory results are compared to the simulations and to measurements showing a very good agreement and validating the proposed methodology. The fabricated filter presents an elliptic response with 20% of center frequency tuning range around 3.2 GHz and a fractional BW variation from 4% to 12% with low insertion loss and high power handling with a 1-dB compression point higher than .
APPLYING ISM AND ANN TECHNIQUES IN THE DEVELOPMENT OF USER EXPECTED COMMAND LOCATION PREDICTING APPROACH

The purpose of this research is to develop a method for obtaining information on user’s expected command location and to verify its effectiveness in improving the inconsistency between the command locations of the software application tools and those expected by the users. This method proposed in this research is called User Expected Command Location Predicting Approach (UECLPA). It is defined as an approach to deconstructing user’s expected idea of the command location and transform it directly to a treelike command element structure. This forecast method for user’s idea of the command location is characterized with real-time modification of the predicting results of user’s command locations. These two features are achieved by Interpretive Structural Modeling (ISM) and Artificial Neural Network (ANN). In terms of command locations, the inconsistency problem between the software application tools and the user’s expectation is quite common in current software application tools. This often causes the users to have bad impressions on the product or even affect the success of the product. The interface designers should pay attention to this problem. In this study, users were invited to operate the old and new interfaces of a software application tool to verify the effectiveness of UECLPA. Results from the experiment indicated that there did exist differences between users and designers in the command location of software application tools. Moreover, UECLPA proposed in this study proved effective in improving the inconsistency problem between user’s expectation and the ready-made command location in the software application tool. Therefore, it is, suggested that before organizing the command locations of software application tools, the interface designers should understand the users’ ideas and demands. Last but not least, the application of UECLPA in the planning of command locations in software application tools will help decrease the inconsistency problem of software application
Minimum-Hop Load-Balancing Graph Routing Algorithm for Wireless HART

In this paper load-balancing routing algorithm for WirelessHART standard is proposed. WirelessHART is open standard for Industrial automation to fulfill specific requirements of industrial environments, WirelessHART is secure, time synchronized mesh network with frequency hopping and graph routing. Graph routing is used in WirelessHART to provide path redundancy. Whereas in proposed algorithm; not only path redundancy is considered but also minimum hop end to end communication to fulfill stringent real time requirements as well as device load balancing is considered to increase overall network life. Results show that network life with proposed algorithm is dramatically increased in comparison with minimum hop graph routing.
Depth map super-resolution via extended weighted mode filtering

Depth maps captured by the range imaging sensors such as ToF (time of flight) camera and Kinect are stuck with limited spatial resolution and varieties of noises, which makes it difficult to be directly applied to 3D scene analysis. In this paper, we address these issues via an extended weighted mode filter (EWMF). In view of the impressive feature of the noise-aware filter in noise suppression, the proposed method synergistically combines standard weighted mode filter (WMF) and the noise aware filter to achieve a better noise suppression performance. Different from conventional filtering-based methods with a fixed support window, a refined adaptive support window (RASW) is designed. The proposed filter with RASW can well capture local structure details better. Experimental results demonstrate that the proposed method outperforms several state-of-the-art super-resolution techniques in terms of bad pixel rate and root mean square error.
How much do delayed healthcare seeking, delayed care provision, and diversion from primary care contribute to the transmission of STIs?

Objectives: To quantify the contribution of patient delay, provider delay, and diversion between services to delayed access to genitourinary medicine (GUM) clinics. To describe the factors associated with delay, and their contribution to STI transmission. Methods: Cross-sectional survey of 3184 consecutive new patients attending four GUM clinics purposively selected from across England to represent different types of population. Patients completed a short written questionnaire that collected data on sociodemographics, access, and health-seeking behaviour. Questionnaires were then linked to routinely collected individual-level demographic and diagnostic data. Results: Patient delay is a median of 7 days, and does not vary by demographic or social characteristics, or by clinic. However, attendance at a walk-in appointment was associated with a marked reduction in patient delay and provider delay. Among symptomatics, 44.8% of men and 58.0% of women continued to have sex while awaiting treatment, with 7.0% reporting sex with >1 partner; 4.2% of symptomatic patients reported sex without using condoms with new partner(s) since their symptoms had begun. Approximately 25% of all patients had already sought or received care in general practice, and these patients experienced greater provider delay. Conclusions: Walk-in services are associated with a reduction in patient and provider delay, and should be available to all populations. Patients attending primary care require clear care pathways when referred on to GUM clinics. Health promotion should encourage symptomatic patients to seek care quickly, and to avoid sexual contact before treatment.
Chronic intermittent hypoxia induces atherosclerosis.

RATIONALE Obstructive sleep apnea, a condition leading to chronic intermittent hypoxia (CIH), is associated with hyperlipidemia, atherosclerosis, and a high cardiovascular risk. A causal link between obstructive sleep apnea and atherosclerosis has not been established. OBJECTIVES The objective of the present study was to examine whether CIH may induce atherosclerosis in C57BL/6J mice. METHODS Forty male C57BL/6J mice, 8 weeks of age, were fed either a high-cholesterol diet or a regular chow diet and subjected either to CIH or intermittent air (control conditions) for 12 weeks. MEASUREMENTS AND MAIN RESULTS Nine of 10 mice simultaneously exposed to CIH and high-cholesterol diet developed atherosclerotic lesions in the aortic origin and descending aorta. In contrast, atherosclerosis was not observed in mice exposed to intermittent air and a high-cholesterol diet or in mice exposed to CIH and a regular diet. A high-cholesterol diet resulted in significant increases in serum total and low-density lipoprotein cholesterol levels and a decrease in high-density lipoprotein cholesterol. Compared with mice exposed to intermittent air and a high-cholesterol diet, combined exposure to CIH and a high-cholesterol diet resulted in marked progression of dyslipidemia with further increases in serum total cholesterol and low-density lipoprotein cholesterol (124 +/- 4 vs. 106 +/- 6 mg/dl; p < 0.05), a twofold increase in serum lipid peroxidation, and up-regulation of an important hepatic enzyme of lipoprotein secretion, stearoyl-coenzyme A desaturase-1. CONCLUSIONS CIH causes atherosclerosis in the presence of diet-induced dyslipidemia.
Interferometry with Faraday mirrors for quantum cryptography

Quantum cryptography over 23 km of installed telecommunications fibre using a novel interferometer with Faraday mirrors is presented. The interferometer needs no alignment nor polarisation control and features 99.8% fringe visibility. A secret key of 20 kbit length with an error rate of 1.35% for 0.1 photon per pulse was produced.
The control of thin film deposition and recent developments in oxide film growth

This review describes just some of the recent developments in thin film deposition technology which have led to improved understanding and control of film growth. The first part is concerned with the development of sputter deposition methods offering control of the energy of depositing species, and the use of structure zone models, which describe the link between film deposition parameters and film structure. Other deposition techniques are then introduced, including examples of the wide range of chemistry-based techniques currently being developed, to illustrate the fabrication of complex multi-component materials and the application of non-vacuum-based methods. The current level of control which may be achieved through application of some advanced in situ methods for monitoring film growth is also described.
3D Building Detection and Modeling from Aerial LIDAR Data

This paper presents a method to detect and construct a 3D geometric model of an urban area with complex buildings using aerial LIDAR (Light Detection and Ranging) data. The LIDAR data collected from a nadir direction is a point cloud containing surface samples of not only the building roofs and terrain but also undesirable clutter from trees, cars, etc. The main contribution of this work is the automatic recognition and estimation of simple parametric shapes that can be combined to model very complex buildings from aerial LIDAR data. The main components of the detection and modeling algorithms are (i) Segmentation of roof and terrain points. (ii) Roof topology Inference. We introduce the concept of a roof-topology graph to represent the relationships between the various planar patches of a complex roof structure. (iii) Parametric roof composition. Simple parametric roof shapes that can be combined to create a complex roof structure of a building are recognized by searching for sub-graphs in its roof-topology graph. (iv) Terrain Modeling. The terrain is identified and modeled as a triangulated mesh. Finally, we provide experimental results that demonstrate the validity of our approach for rapid and automatic building detection and geometric modeling with real LIDAR data. We are able to model cities and other urban areas at the rate of about 10 minutes per sq. mile on a low-end PC.
The in vivo pattern of AID targeting to immunoglobulin switch regions deduced from mutation spectra in msh2 −/− ung −/− mice

Immunoglobulin (Ig) class switching is initiated by deamination of C→U within the immunoglobulin heavy chain locus, catalyzed by activation-induced deaminase (AID). In the absence of uracil-DNA glycosylase (UNG) and the homologue of bacterial MutS (MSH)–2 mismatch recognition protein, the resultant U:G lesions are not processed into switching events but are fixed by replication allowing sites of AID-catalyzed deamination to be identified by the resulting C→T mutations. We find that AID targets cytosines in both donor and acceptor switch regions (S regions) with the deamination domains initiating ∼150 nucleotides 3′ of the I exon start sites and extending over several kilobases (the IgH intronic enhancer is spared). Culturing B cells with interleukin 4 or interferon γ specifically enhanced deamination around Sγ1 and Sγ2a, respectively. Mutation spectra suggest that, in the absence of UNG and MSH2, AID may occasionally act at the μ switch region in an apparently processive manner, but there is no marked preference for targeting of the transcribed versus nontranscribed strand (even in areas capable of R loop formation). The data are consistent with switch recombination being triggered by transcription-associated, strand-symmetric AID-mediated deamination at both donor and acceptor S regions with cytokines directing isotype specificity by potentiating AID recruitment to the relevant acceptor S region.
Face Recognition by Fusing Local and Global Discriminant Features

This paper presents a novel scheme for face recognition by fusing local and global discriminant features. It has been observed that facial changes are occurred due to variations in facial expression, illumination condition, pose, etc. and these changes are often appeared only some regions of the whole image. The global features extracted from the whole image are not able to cope with these facial changes. To cope with the above facial changes face images are divided into a number of non-overlapping smaller sub-images and discriminant features are extracted from these sub-images as well as from the whole image. All these extracted local and global features are fused to form a large feature vector. We have used generalized two-dimensional fisher's linear discriminate (G-2DFLD) method to extract these local and global discriminant features. We have used the fisher's linear discriminate (FLD) method to extract lower dimensional discriminant features from the fused large feature vector. A Multi-class Support Vector Machine (SVM) is applied on these reduced feature vector for classification. The proposed method was evaluated on AT&T Face Database and experimental results show that the performance of the proposed method is better than other global feature extraction methods like PCA, 2DPCA, PCA+FLD, 2DFLD and G-2DFLD methods.
SVM Optimization for Lattice Kernels

This paper presents general techniques for speeding up largescale SVM training when using sequence kernels. Our techniques apply to the family of kernels commonly used in a variety of natural language processing applications, including speech recognition, speech synthesis, and machine translation. We report the results of large-scale experiments demonstrating dramatic reduction of the training time, typically by several orders of magnitude.