Miracle-dz/UniFAR-FTUs huggingface dataset:
Secure Data Retrieval for Decentralized Military Networks

Portable nodes in military environments, for example, as in battlefield or an unfriendly area are prone to experience the under go of irregular system network and frequent partitions. Interruption tolerant network (ITN) innovations are getting to be fruitful results that permit remote device conveyed by officers to speak with one another and access the secret data or summon dependably by abusing outside capacity nodes. Possibly the most solid issues in this situation are the necessity of approval arrangements and the strategies redesign for secure information recovery. This paper considers an attribute-based secure data retrieval scheme using CP-ABE for ITNs where multiple key authorities manage their attributes independently. Immediate attribute repeal enhances backward/forward secrecy of confidential data by reducing the windows of vulnerability. Key escrow problem is resolved by an escrow-free key issuing protocol that utilizes the characteristic of the decentralized ITN architecture proposed a decentralized approach; their technique does not authenticate users. We demonstrate how to apply the proposed mechanism to securely and efficiently manage the confidential data distributed in the Interruption-tolerant military network.
Single Training Sample Face Recognition Using Fusion of Classifiers

This paper deals with Face recognition using Single training sample which is a new challenging problem in machine vision. In the proposed method, first four different representation of face are generated using Gabor filters which vary in angle. Then a Baseclassifier is assigned for each of them and also for original image. Finally EMV technique combines the Base-classifiers. EMV behaves like MV but chooses the vote of the Baseclassifier assigned to original image as winner class when there is multiple winner class. Experimental results on ORL face dataset, show an improvement about 2%, 4% and 5% than 2DPCA, (PC) 2 A and PCA respectively.
Miles to Go before We Sleep

Large, pervasive, and persistent racial inequalities exist in the onset, courses, and outcomes of illness. A comprehensive understanding of the patterning of racial disparities indicates that racism in both its institutional and individual forms remains an important determinant. There is an urgent need to build the science base that would identify how to trigger the conditions that would facilitate needed societal change and to identify the optimal interventions that would confront and dismantle the societal conditions that create and sustain health inequalities.
Reduced-Complexity User Scheduling Algorithms for Coordinated Heterogeneous MIMO Networks

In this paper, the downlink of a clustered coordinated multicell multiuser multiple-input multiple-output (MIMO) system is considered, and various low-complexity user scheduling algorithms to maximize the sum rate are proposed. The users' data signals are transmitted cooperatively via the base stations (BSs) of a cluster within the sectorized multicell heterogeneous cellular network. Exhaustive search as the optimal scheduling method is extremely complex, particularly for large numbers of users requesting service. We therefore propose suboptimal scheduling algorithms based on the lower complexity metaheuristic stochastic optimization techniques of simulated annealing (SA) and particle swarm (PS). Moreover, a hybrid algorithm combining the traits of PS and a greedy scheduler is also proposed. The performance and complexity of these algorithms are evaluated for a heterogeneous system model employing different precoding methods. Assessing the algorithms' performance via computer simulations, the effectiveness of the proposed schemes in terms of sum rate is demonstrated, yielding performance very close to that of the exhaustive search at much lower complexity. For each precoding method used in the employed system model, the best corresponding approach to scheduling from our proposed algorithms is determined.
Quasi-Linear Thermoelasticity System Arising in Shape Memory Materials

In this paper we establish the global existence and uniqueness of a solution for the three‐dimensional and two‐dimensional forms of the quasi‐linear thermoelasticity system which arises as a mathematical model of shape memory alloys. The system represents a multidimensional version with viscosity and capillarity of the well‐known Falk model for one‐dimensional martensitic phase transitions. In the setup considered by Pawlow and Zaja¸czkowski [Math. Methods Appl. Sci., 28 (2005), pp. 407–442; 551–592], some conditions have been required for the nonlinear term. In the present paper we improve the result by imposing less restrictive assumptions.
Infections Caused by Stenotrophomonas maltophilia in Recipients of Hematopoietic Stem Cell Transplantation

Stenotrophomonas maltophilia (S. maltophilia) is a globally emerging Gram-negative bacillus that is widely spread in environment and hospital equipment. Recently, the incidence of infections caused by this organism has increased, particularly in patients with hematological malignancy and in recipients of hematopoietic stem cell transplantation (HSCT) having neutropenia, mucositis, diarrhea, central venous catheters or graft versus host disease and receiving intensive cytotoxic chemotherapy, immunosuppressive therapy, or broad-spectrum antibiotics. The spectrum of infections in HSCT recipients includes pneumonia, urinary tract and surgical site infection, peritonitis, bacteremia, septic shock, and infection of indwelling medical devices. The organism exhibits intrinsic resistance to many classes of antibiotics including carbapenems, aminoglycosides, most of the third-generation cephalosporins, and other β-lactams. Despite the increasingly reported drug resistance, trimethoprim-sulfamethoxazole is still the drug of choice. However, the organism is still susceptible to ticarcillin-clavulanic acid, tigecycline, fluoroquinolones, polymyxin-B, and rifampicin. Genetic factors play a significant role not only in evolution of drug resistance but also in virulence of the organism. The outcome of patients having S. maltophilia infections can be improved by: using various combinations of novel therapeutic agents and aerosolized aminoglycosides or colistin, prompt administration of in vitro active antibiotics, removal of possible sources of infection such as infected indwelling intravascular catheters, and application of strict infection control measures.
MicroRNAs in Inflammatory Bowel Diseases: Paradoxes and Possibilities

Abstract:MicroRNAs (miRNAs) are single-stranded RNA molecules, which influence the translation of messenger RNA and hence protein synthesis. The altered expression of miRNAs in disease states in cancer and autoimmune diseases including inflammatory bowel disease is providing new insights into disease pathogenesis. This understanding is leading to consideration of the utility of miRNAs in diagnostics, prognostics, and therapeutics in inflammatory bowel disease. A literature search was conducted using the MEDLINE/PubMed databases using search terms inflammatory bowel disease, miRNA, treatment, and biomarkers.
The influence of human settlement on the distribution and diversity of iron-oxidizing bacteria belonging to the Gallionellaceae in tropical streams

Among the neutrophilic iron-oxidizing bacteria (FeOB), Gallionella is one of the most abundant genera in freshwater environments. By applying qPCR and DGGE based on 16S rRNA gene-directed primers targeting Gallionellaceae, we delineated the composition and abundance of the Gallionellaceae-related FeOB community in streams differentially affected by metal mining, and explored the relationships between these community characteristics and environmental variables. The sampling design included streams historically impacted by mining activity and a non-impacted stream. The sediment and water samples harbored a distinct community represented by Gallionella, Sideroxydans, and Thiobacillus species. Sequences affiliated with Gallionella were exclusively observed in sediments impacted by mining activities, suggesting an adaptation of this genus to these environments. In contrast, Sideroxydans-related sequences were found in all sediments including the mining impacted locations. The highest and lowest relative frequencies of Gallionellaceae-related FeOB were associated with the lowest and highest concentrations of Fe, respectively. The data enclosed here clearly show distinct species-specific ecological niches, with Gallionella species dominating in sediments impacted by anthropogenic activities over Sideroxydans species.
Image Denoising and Fusion Based on Matrix Completion

In most situations, acquired digital images always are corrupted by the wrong camera focus, serious illumination even missing data. This algorithm is presented for fusion of corrupted multi-sensor images by noise. Compared to the susceptible properties of PCA by large errors, the proposed method includes adaptive fusion arithmetic based on matrix completion and self-adaptive regional variance estimation. Robust principal components analysis via inexact augmented Lagrange multiplier method is applied to low-frequency image components, and the regional variance estimation is applied to high-frequency components including edges and details of the original image. Compared with traditional algorithms, the new algorithm not only improves the amount of preserved information and clarity, but also increases robustness for the corrupted observation data.
Comparative Study of Si, Ge and InAs based Steep SubThreshold Slope Tunnel Transistors for 0.25V Supply Voltage Logic Applications

This paper examines the potential of double gate (DG) inter-band tunnel FETs (TFET) in 3 different material systems, Si, Ge and InAs, for logic circuit applications down to 0.25 V supply voltage (V<sub>CC</sub>). Based on two-dimensional numerical drift-diffusion simulations, we show that 30 nm gate length (LG) InAs (indium arsenide) based TFETs can achieve I<sub>on</sub>/I<sub>off</sub> of >4x10<sup>4</sup> with <1 ps intrinsic delay at 0.25 V V<sub>CC</sub>. The key features of the InAs TFETs are: (a) asymmetric source drain design to suppress the ambipolar leakage (b) use of a lower dielectric constant gate oxide (non high-K) and (c) high source side injection velocity at moderate electric fields. Thus, narrow bandgap semiconductor based DG TFETs provide a promising device option for ultra-low standby and dynamic power high-speed logic circuits operating under quarter volt supply voltages.
Similarity-based queries

We develop a domain-independent framework for defining qneries in terms of similarity of objects. Our framework has three components: a pattern language, a transformation rule language, and a query language. The pattern language specifies classes of objects, the transformation rule language defines similarity by specifying the similarity-preserving transformations, and the whole package is wrapped in a general query language. The framework can be “tuned” to the needs of a specific application domain, such as time sequences, molecules, text strings or images, by the choice of these languages. We demonstrate the framework by presenting a specific instance on a specific domain – the domain of sequences. We start with sequences over a finite alphabet, and then consider sequences over infinite ordered domains. The basic pattern language weuseis regular expressions, and the query language is calculus-based. We show that even when the pattern/query languages chosen are not too powerful, the approximation framework obtained is very strong. We study the properties of the framework, and in particular present expressive power and complexity results.
Thermal performance-based comparative study of PWM strategies for three-level ANPC converter

The ANPC (Active Neutral Point Clamped) topology was initially proposed to overcome the unequal loss distribution among the NPC (Neutral Point Clamped) converter power devices. This goal depends deeply on the PWM strategy that is controlling the converter. In this paper, the thermal behavior of the ANPC converter is firstly analyzed. The actual issue is the unequal junction device temperature distribution. So a thermal model based on Foster network is used to estimate the converter switches junction temperatures. In this paper a comparative study of four PWM control strategies is carried out to focus on their influences on the junction temperature distribution among the power devices of the ANPC converter. The comparison is performed with a three level ANPC converter constructed of SKM50GB12T4 IGBT modules. Simulations are performed based on experimental data of the power device. Results are provided to point out the most adapted PMW strategy towards unequal junction temperature distribution and global converter performances.
Segmentation Evaluation for Object Based Remotely Sensed ImageAnalysis

Object based image analysis (OBIA) is a relatively new form of remote sensing which aims to overcome the failings of traditional pixel based techniques at providing accurate land-use classification for high resolution data. The failure of pixel based techniques is due to the fact that these techniques are based on the assumption that individual classes contain uniform visual properties. As we increase the spatial resolution of data the intra-class variation increases and this property of class uniformity is broken leading to very poor performance (Blaschke 2003). The human visual system (HVS) can interpret high resolution data very easily and accurately. If a truly accurate and robust automated land-use classification system is to be achieved, it must draw from research in the area of cognitive psychology and attempt to model how we as humans interpret aerial imagery. This is the aim of research in the area of OBIA.
Systematic exploration is able to find a wider range of types of concurrency errors ” LAnDSLIDE : A SImICS * ExTEnSIon for DynAmIC TESTIng of KErnEL ConCurrEnCy ErrorS

Landslide is a Simics module designed for finding concurrency bugs in operating system kernels, with a focus on Pebbles. Pebbles is a UNIX-like kernel specification used in course 15-410, the undergraduate operating systems class at Carnegie Mellon University, in which students implement such a kernel in six weeks from the ground up. Landslide’s mechanism, called systematic testing, involves deterministically executing every possible interleaving of thread transitions in a given test case and identifying which ones expose bugs. In this article we explain the testing environment (the course, 15-410, and the kernel, Pebbles) and the testing technique; describe how Landslide takes advantage of certain features that Simics provides that other testing environments (such as virtualization) do not; outline Landslide’s design, implementation, and user interface; present some results from a preliminary evaluation of Landslide, and discuss potential directions for future work.
Synthesis of Chitosan-Hydroxyapatite Composites and Its Effect on the Properties of Bioglass Bone Cement

Chitosan-hydroxyapatite (CS-HA) composite powders were synthesized via in situ co-precipitation method, through the reaction of Ca(NO3)2 and H3PO4 in the simulated body fluid (SBF) containing appropriate amount of chitosan. The thermal evolution, microstructure and morphology were studied by TG-DTA (thermogravimetry-differential thermal analysis), XRD (X-ray diffraction), FTIR (Fourier transform infrared spectroscopy) and TEM (transmission electron microscopy). The in vitro bioactivity test showed that the obtained CS-HA composites had higher capability of inducing calcium ions deposition. Effects of CS-HA composites on the bioactivity and compressive strength of bioglass bone cement were investigated. The results indicated that the bioactivity of bioglass bone cement could be improved further when CS-HA composite powders were added into the cement, and appropriate amount of CS-HA additive was favorable for compressive strength improvement of bioglass bone cement.
Anti-Obesity Effect of the CB2 Receptor Agonist JWH-015 in Diet-Induced Obese Mice

The cannabinoid receptor 2 (CB2) is well known for its immune modulatory role. However, recent localisation of CB2 receptors in metabolically active tissue suggests that the CB2 receptor plays a significant role in energy homeostasis. This study was designed to investigate the impact of chronic CB2 receptor stimulation on food intake, body weight and mood. Lean male C57BL/6 mice were injected i.p. with the selective CB2 receptor agonist, JWH-015 (0.0, 1.0, 5.0 and 10.0 mg kg-1) to establish dose response parameters. Mice made obese following exposure to a diet consisting of 19.4 MJ/kg (4641 Kcal/kg) of energy (19.0% protein, 21.0% total fat, 4.7% crude fiber, and 4.7% AD fiber were given either vehicle or 10 mg/kg JWH-015. Impact on mood, food intake, body weight, plasma metabolites, expression of key metabolic proteins in the brown adipose tissue (BAT) and white adipose tissue (WAT), and markers of inflammation were measured. High dose (10 mg/kg) JWH-015 reduced food intake after 1, 2, 4, and 24 h in lean mice. When given to diet induced obese (DIO) mice, a 10 mg/kg dose of JWH-015 significantly reduced body weight compared to vehicle. This dose led to a shift in markers of lipid metabolism and inflammation in WAT consistent with lipolysis and improved immune response. Furthermore, JWH-015 (10 mg/kg) produced a transient reduction in food intake and significant reduction in fat mass and adipocyte cell size. Importantly, JWH-015 produced an anxiolytic response in the elevated plus maze while having no effect on immobility time in the forced swim test. It should be noted that though the 10 mg/kg dose produced positive effects on the obese state, the possibility that these effects are mediated via non-CB2 receptor mechanisms cannot be ruled out. These results demonstrate a role for CB2 receptors in modulating energy homeostasis and obesity associated metabolic pathologies in the absence of any adverse impact on mood.
Deconstructing DHTs

Nearly all proposed DHTs have echoes – either explicit or implicit – of parallel interconnect networks such as butterfly, torus, hypercube, and de Bruijn graphs. However, unlike interconnection networks, DHTs define an overlay graph for all network sizes, and allow the overlay graph to evolve as nodes join and leave as participants. Most of the well-cited DHT designs obscured two basic concerns in DHT design: the choice of topology (the links and routes in “ideal” cases), and of interconnect “emulation” strategy (how they deal with dynamism and a sparsely filled identifier space). In this paper, we separate these concerns into two formal frameworks. We first observe several idealized DHT topologies from an algebraic standpoint, and discuss the utility of such an approach in creating and understanding new DHT topologies. We then examine several emulation schemes and consider their applicability to algebraic graphs. Given these pieces, we demonstrate a promising new DHT design that emerges from this separation of concerns: IHOP (Internet Hashing Over Pancake graphs), a Cayley graph of the symmetric group emulated with a scheme of Abraham et al.
A single-shot approach to lossy source coding under logarithmic loss

This paper studies the problem of lossy source coding with a specific distortion measure: logarithmic loss. The focus of this paper is on the single-shot approach which exposes the connection between lossy source coding with log-loss and lossless source coding. Point-to-point bounds, including the single-shot fundamental limit for average as well as excess distortion, are presented. Two multi-terminal problems are addressed: coding with side information (Wyner-Ziv), and multiple descriptions coding. In both cases, the application of the Shannon-McMillan Theorem to the single-shot bounds immediately yields the rate-distortion function and the rate distortion-region for stationary and ergodic sources.
An Energy-Saving Development Initiative Increases Birth Rate and Childhood Malnutrition in Rural Ethiopia

Background Evolutionary life history theory predicts that, in the absence of contraception, any enhancement of maternal condition can increase human fertility. Energetic trade-offs are likely to be resolved in favour of maximizing reproductive success rather than health or longevity. Here we find support for the hypothesis that development initiatives designed to improve maternal and child welfare may also incur costs associated with increased family sizes if they do not include a family planning component. Methods and Findings Demographic and anthropometric data were collected in a rural Ethiopian community benefiting from a recent labour-saving development technology that reduces women's energetic expenditure ( n = 1,976 households). Using logistic hazards models and general linear modelling techniques, we found that whilst infant mortality has declined, the birth rate has increased, causing greater scarcity of resources within households. Conclusions This study is, to our knowledge, the first to demonstrate a link between a technological development intervention and an increase in both birth rate and childhood malnutrition. Women's nutritional status was not improved by the energy-saving technology, because energy was diverted into higher birth rates. We argue that the contribution of biological processes to increased birth rates in areas of the developing world without access to modern contraception has been overlooked. This highlights the continued need for development programmes to be multisectoral, including access to and promotion of contraception.
Hyperspectral unmixing: geometrical, statistical, and sparse regression-based approaches

Hyperspectral instruments acquire electromagnetic energy scattered within their ground instantaneous field view in hundreds of spectral channels with high spectral resolution. Very often, however, owing to low spatial resolution of the scanner or to the presence of intimate mixtures (mixing of the materials at a very small scale) in the scene, the spectral vectors (collection of signals acquired at different spectral bands from a given pixel) acquired by the hyperspectral scanners are actually mixtures of the spectral signatures of the materials present in the scene. Given a set of mixed spectral vectors, spectral mixture analysis (or spectral unmixing) aims at estimating the number of reference materials, also called endmembers, their spectral signatures, and their fractional abundances. Spectral unmixing is, thus, a source separation problem where, under a linear mixing model, the sources are the fractional abundances and the endmember spectral signatures are the columns of the mixing matrix. As such, the independent component analysis (ICA) framework came naturally to mind to unmix spectral data. However, the ICA crux assumption of source statistical independence is not satisfied in spectral applications, since the sources are fractions and, thus, non-negative and sum to one. As a consequence, ICA-based algorithms have severe limitations in the area of spectral unmixing, and this has fostered new unmixing research directions taking into account geometric and statistical characteristics of hyperspectral sources. This paper presents an overview of the principal research directions in hyperspectral unmixing. The presentations is organized into four main topics: i) mixing models, ii) signal subspace identification, iii) geometrical-based spectral unmixing, (iv) statistical-based spectral unmixing, and (v) sparse regression-based unmixing. In each topic, we describe what physical or mathematical problems are involved and summarize state-of-the-art algorithms to address these problems.