Miracle-dz/UniFAR-FTUs huggingface dataset:
Cross-layer optimization for video summary transmission over wireless networks

Video summarization has gained increased popularity in the emerging multimedia communication applications, however, very limited work has been conducted to address the transmission problem of video summary frames. In this paper, we propose a cross-layer optimization framework for delivering video summaries over wireless networks. Within a rate-distortion theoretical framework, the source coding, allowable retransmission, and adaptive modulation and coding have been jointly optimized, which reflects the joint selection of parameters at physical, data link and application layers. The goal is to achieve the best video quality and content coverage of the received summary frames and to meet the delay constraint. The problem is solved using Lagirangian relaxation and dynamic programming. Experimental results indicate the effectiveness and efficiency of the proposed optimization framework, especially when the delay budget imposed by the upper layer applications is small, where more than 10% distortion gain can be achieved.
Do You Get Better User Experiences when You Customize your Smartphone?: an Experiment with Object and Behavior-based Beliefs and Attitudes

A system can be customized by is owner. The fundamental premise behind designing for customization is that it improves the user experience (UX) of the system. In this study, we contend that the effects of customization on UX of a smartphone can be theoretically modelled as users’ beliefs about the system object (customization) that influence their attitudes towards the system object (perceived system usability), which in turn shapes their beliefs (flow) and attitudes (engagement) towards using the system. We tested this proposition via an experimental study with 50 college students as participants. Each participant was asked to perform customization tasks on a smartphone, and then instructed to complete a comparison task aimed at contrasting customized user interface with a standard one. Our manipulation checks confirmed that the customization task, in particular, the customization of the layout was more pronounced for participants. Analytical results from the comparison reveal that customization positively influence users’ evaluation of three key constructs of UX: perceived system usability, flow and engagement, and that the feeling of engagement is mediated through perceived system usability and flow. We conclude with a discussion of the impact of customization on UX, and whether the distinction between objectand behaviour-based beliefs and attitudes is helpful.
Genome-wide DNA methylation analysis identifies a metabolic memory profile in patient-derived diabetic foot ulcer fibroblasts

Diabetic foot ulcers (DFUs) are a serious complication of diabetes. Previous exposure to hyperglycemic conditions accelerates a decline in cellular function through metabolic memory despite normalization of glycemic control. Persistent, hyperglycemia-induced epigenetic patterns are considered a central mechanism that activates metabolic memory; however, this has not been investigated in patient-derived fibroblasts from DFUs. We generated a cohort of patient-derived lines from DFU fibroblasts (DFUF), and site- and age-matched diabetic foot fibroblasts (DFF) and non-diabetic foot fibroblasts (NFF) to investigate global and genome-wide DNA methylation patterns using liquid chromatography/mass spectrometry and the Illumina Infinium HumanMethylation450K array. DFFs and DFUFs demonstrated significantly lower global DNA methylation compared to NFFs (p = 0.03). Hierarchical clustering of differentially methylated probes (DMPs, p = 0.05) showed that DFFs and DFUFs cluster together and separately from NFFs. Twenty-five percent of the same probes were identified as DMPs when individually comparing DFF and DFUF to NFF. Functional annotation identified enrichment of DMPs associated with genes critical to wound repair, including angiogenesis (p = 0.07) and extracellular matrix assembly (p = 0.035). Identification of sustained DNA methylation patterns in patient-derived fibroblasts after prolonged passage in normoglycemic conditions demonstrates persistent metabolic memory. These findings suggest that epigenetic-related metabolic memory may also underlie differences in wound healing phenotypes and can potentially identify therapeutic targets.
Water, sanitation, hygiene and enteric infections in children

In 2007, readers of the British Medical Journal voted that the introduction of clean water and sewerage—the ‘sanitation revolution’ of the Victorian era—was the most important medical milestone since the 1840s,1 over anaesthesia, antibiotics, or vaccines. These improvements led to a dramatic reduction in morbidity and mortality associated with faecal-oral infections, such as typhoid fever and cholera. Today, water, sanitation and hygiene (WSH) measures remain critically important to global public health, especially among children in lower income countries, who are at greatest risk from enteric infections and their associated symptoms, complications and sequelae. In this article, we review the evidence linking WSH measures to faecal-oral diseases in children. Although continued research is needed, existing evidence from the last 150 years supports extending life-saving WSH measures to at-risk populations worldwide.2 One recent estimate3 held that 95% of diarrhoeal deaths in children under 5 years of age could be prevented by 2025, at a cost of US$6.715 billion, through targeted scale-up of proven, cost-effective, life-saving interventions. These include access to safe and accessible excreta disposal, support for basic hygiene practices such as hand washing with soap, and provision of a safe and reliable water supply. We present estimates of the burden of WSH-related disease followed by brief overviews of water, sanitation and hygiene-related transmission routes and control measures.i We conclude with a summary of current international targets and progress. Human excreta can contain over 50 known bacterial, viral, protozoan and helminthic pathogens. The majority of excreta-related infections are obtained through ingestion, less often through inhalation. Excreta-related infections travel through a variety of routes from one host to the next, either as a result of direct transmission through contaminated hands, or indirect transmission via contamination of drinking water, soil, utensils, food and flies (figure 1). The importance of each transmission route …
Failure to launch.

In the early 1990s, a disturbing trend took hold in the United States that has changed the course of childbirth yet again, but not for the better. The use of epidural analgesia has increased rapidly, with the vast majority of women choosing to use it during their births. In my community, nearly 95% of women are medicated in this way; the national average is 75%, as it is in Canada.
Fip 1 regulates mRNA alternative polyadenylation to promote stem cell self-renewal

mRNA alternative polyadenylation (APA) plays a critical role in post-transcriptional gene control and is highly regulated during development and disease. However, the regulatory mechanisms and functional consequences of APA remain poorly understood. Here, we show that an mRNA 30 processing factor, Fip1, is essential for embryonic stem cell (ESC) self-renewal and somatic cell reprogramming. Fip1 promotes stem cell maintenance, in part, by activating the ESC-specific APA profiles to ensure the optimal expression of a specific set of genes, including critical self-renewal factors. Fip1 expression and the Fip1-dependent APA program change during ESC differentiation and are restored to an ESC-like state during somatic reprogramming. Mechanistically, we provide evidence that the specificity of Fip1-mediated APA regulation depends on multiple factors, including Fip1-RNA interactions and the distance between APA sites. Together, our data highlight the role for post-transcriptional control in stem cell self-renewal, provide mechanistic insight on APA regulation in development, and establish an important function for APA in cell fate specification.
The Even More Irresistible SROIQ

We describe an extension of the description logic underlying OWL-DL, SHOIN, with a number of expressive means that we believe will make it more useful in practice. Roughly speaking, we extend SHOIN with all expressive means that were suggested to us by ontology developers as useful additions to OWL-DL, and which, additionally, do not affect its decidability and practicability. We consider complex role inclusion axioms of the form R o S ⊑ R or S o R ⊑ R to express propagation of one property along another one, which have proven useful in medical terminologies. Furthermore, we extend SHOIN with reflexive, antisymmetric, and irreflexive roles, disjoint roles, a universal role, and constructs ∃R. Self, allowing, for instance, the definition of concepts such as a "narcist". Finally, we consider negated role assertions in Aboxes and qualified number restrictions. The resulting logic is called SROIQ. We present a rather elegant tableau-based reasoning algorithm: it combines the use of automata to keep track of universal value restrictions with the techniques developed for SHOIQ. The logic SROIQ has been adopted as the logical basis for the next iteration of OWL, OWL 1.1.
Electron microscopy of ferroelectric bismuth oxides containing perovskite layers

Ferroelectric bismuth oxides of the general formula (Bi2O2)2+(An-1BnO3n+1)2- (A = Ba, etc., B = Ti or other transition metal) have been examined by high-resolution lattice imaging electron microscopy. The lattice images show dark bands at the positions of the Bi20 2 layers, with n -1 lines between them due to the layers of the perovskite A cations or, in favourable circumstances, the fully resolved 0.4 nm square perovskite grid. Dislocations and domain boundaries have been imaged for the first time in ferroelectric crystals. The structure of the dislocations and domain walls is discussed in the light of the microstructural evidence.
Increased ex vivo antigen presentation profile of B cells in multiple sclerosis

Background: Multiple sclerosis (MS) is thought to be T cell mediated but the mechanisms eliciting such a dysregulated adaptative immune response remain enigmatic. Objective: To examine the activation profile of antigen-presenting cells (APCs) in MS. Methods: A total of 98 study subjects were enrolled including patients suffering from relapsing–remitting, secondary- and primary-progressive (PP) MS, other inflammatory neurological diseases, and healthy controls. Blood monocytes and B cells were stimulated using specific ligands of toll-like receptors (TLRs) or inflammasomes or Epstein–Barr virus (EBV) particles. Their activation profile was determined before or after stimulation by flow cytometry (CD40, CD80, CD83, CD86, and human leukocyte antigen–antigen D related (HLA-DR)) and Luminex assay, measuring the concentration of eight cytokines in culture supernatants. Differences among groups were assessed in a linear model framework. Results: We demonstrate that relapsing MS patients exhibit an increased expression of HLA-DR and CD40 ex vivo, mostly at the surface of B cells. Specific stimulations of TLR or inflammasomes enhance the expression of components of the immunological synapse and the cytokine secretion but without differences between categories of study subjects. Conclusion: These data suggest that the activation profile of B cells is increased in MS. However, the perception of the danger signal by B lymphocytes and monocytes does not seem to be different in MS patients as compared to control subjects.
Circularly symmetric watermark embedding in 2-D DFT domain

This paper presents an algorithm for rotation and scale invariant watermarking of digital images. An invisible mark is embedded in magnitude of the DFT domain. It is robust to compression, filtering, cropping, translation and rotation. The watermark introduces image changes that are invisible to the human eye. The detection algorithm does not require the original image.
Facing Aggression: Cues Differ for Female versus Male Faces

The facial width-to-height ratio (face ratio), is a sexually dimorphic metric associated with actual aggression in men and with observers' judgements of aggression in male faces. Here, we sought to determine if observers' judgements of aggression were associated with the face ratio in female faces. In three studies, participants rated photographs of female and male faces on aggression, femininity, masculinity, attractiveness, and nurturing. In Studies 1 and 2, for female and male faces, judgements of aggression were associated with the face ratio even when other cues in the face related to masculinity were controlled statistically. Nevertheless, correlations between the face ratio and judgements of aggression were smaller for female than for male faces (F1,36 = 7.43, p = 0.01). In Study 1, there was no significant relationship between judgements of femininity and of aggression in female faces. In Study 2, the association between judgements of masculinity and aggression was weaker in female faces than for male faces in Study 1. The weaker association in female faces may be because aggression and masculinity are stereotypically male traits. Thus, in Study 3, observers rated faces on nurturing (a stereotypically female trait) and on femininity. Judgements of nurturing were associated with femininity (positively) and masculinity (negatively) ratings in both female and male faces. In summary, the perception of aggression differs in female versus male faces. The sex difference was not simply because aggression is a gendered construct; the relationships between masculinity/femininity and nurturing were similar for male and female faces even though nurturing is also a gendered construct. Masculinity and femininity ratings are not associated with aggression ratings nor with the face ratio for female faces. In contrast, all four variables are highly inter-correlated in male faces, likely because these cues in male faces serve as “honest signals”.
Constitutive modeling and structural analysis considering simultaneous phase transformation and plastic yield in shape memory alloys

The new developments summarized in this work represent both theoretical and experimental investigations of the effects of plastic strain generation in shape memory alloys (SMAs). Based on the results of SMA experimental characterization described in the literature and additional testing described in this work, a new 3D constitutive model is proposed. This phenomenological model captures both the conventional shape memory effects of pseudoelasticity and thermal strain recovery, and additionally considers the initiation and evolution of plastic strains. The model is numerically implemented in a finite element framework using a return mapping algorithm to solve the constitutive equations at each material point. This combination of theory and implementation is unique in its ability to capture the simultaneous evolution of recoverable transformation strains and irrecoverable plastic strains. The consideration of isotropic and kinematic plastic hardening allows the derivation of a theoretical framework capturing the interactions between irrecoverable plastic strain and recoverable strain due to martensitic transformation. Further, the numerical integration of the constitutive equations is formulated such that objectivity is maintained for SMA structures undergoing moderate strains and large displacements. The implemented model has been used to perform 3D analysis of SMA structural components under uniaxial and bending loads, including a case of local buckling behavior. Experimentally validated results considering simultaneous transformation and plasticity in a bending member are provided, illustrating the predictive accuracy of the model and its implementation.
The Impact of Affective Verbal Content on Predicting Personality Impressions in YouTube Videos

Human nature as always implies massive challenges for predictive modeling that are yet to be fully explored. In this paper, we report on an experiment that examines the predictive effect of the gender and the affective content of video transcripts on predicting personality impressions of the person being judged. While gender had positive impact on the predictability across all personality traits, the effects of the emotional features varied across traits. Coarse-grain emotional categories resulted in performance gains for Agreeableness and Neuroticism, while the inclusion of fine-grain emotional features had more positive effect on predicting Extroversion and Openness to Experiences. The initial results are encouraging and comparable to related research.
Data locality in Hadoop cluster systems

MapReduce has become a major programming model that supports distributed and parallel processing for large-scale data-intensive applications such as Web data mining, network traffic analysis, machine learning and scientific simulation. Hadoop is the most popular open-source implementation of the MapReduce programming model. In Hadoop, input files are divided into many data blocks and these blocks are distributed over several nodes in cluster. To efficiently process the data blocks, Hadoop should provide an efficient scheduling mechanism for enhancing the performance of the system in a shared cluster environment. In Hadoop scheduling mainly caused by data locality issues due to limited network bandwidth. By introducing the scheduling issues with regarding to the data locality, this paper review different data locality aware scheduling algorithms that handling the data locality issues. In addition, this paper also evaluating their features, strength, weakness and provided some guidelines on how to improve further these scheduling algorithms.
Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution

This paper proposes an efficient method to modify histograms and enhance contrast in digital images. Enhancement plays a significant role in digital image processing, computer vision, and pattern recognition. We present an automatic transformation technique that improves the brightness of dimmed images via the gamma correction and probability distribution of luminance pixels. To enhance video, the proposed image-enhancement method uses temporal information regarding the differences between each frame to reduce computational complexity. Experimental results demonstrate that the proposed method produces enhanced images of comparable or higher quality than those produced using previous state-of-the-art methods.
Welcome to Binder: A kernel level attack model for the Binder in Android operating system

In this paper, we consider to seek vulnerabilities and we conduct possible attacks on the crucial and essential parts of Android OSs architecture including the framework and the Android kernel layers. As a regard, we explain the Binder component of Android OS from security point of view. Then, we demonstrate how to penetrate into the Binder and control data exchange mechanism in Android OS by proposing a kernel level attack model based on the hooking method. As a result, by implementing the attack model, it is illustrated that the Android processes are detectable and the data can be extracted from any process and system calls.
Decision feedback aided bayesian turbo space-time equalizer for parallel interference cancellation in SDMA systems

A novel Bayesian Decision-Feedback aided turbo Space-Time Equalizer (DF-STE) combined with a Parallel Interference Cancellation (PIC) scheme and designed for multiple antenna assisted receivers is introduced. The proposed receiver structure allows the employment of a non-linear Bayesian turbo DF-STE operating at a moderate computational cost, which outperforms the linear turbo detector benchmarker based on the Minimum Mean-Squared Error (MMSE) criterion, even if the latter aims for jointly detecting all transmitters’ signals.
Connectivity of Cognitive Device-to-Device Communications Underlying Cellular Networks

Providing direct communications among a rapidly growing number of wireless devices within the coverage area of a cellular system is an attractive way of exploiting the proximity among them to enhance coverage and spectral and energy efficiency. However, such device-to-device (D2D) communications create a new type of interference in cellular systems, calling for rigorous system analysis and design to both protect mobile users (MUs) and guarantee the connectivity of devices. Motivated by the potential advantages of cognitive radio (CR) technology in detecting and exploiting underutilized spectrum, we investigate CR-assisted D2D communications in a cellular network as a viable solution for D2D communications, in which devices access the network with mixed overlay-underlay spectrum sharing. Our comprehensive analysis reveals several engineering insights useful to system design. We first derive bounds of pivotal performance metrics. For a given collision probability constraint, as the prime spectrum-sharing criterion, we also derive the maximum allowable density of devices. This captures the density of MUs and that of active macro base stations. Limited in spatial density, devices may not have connectivity among them. Nevertheless, it is shown that for the derived maximum allowable density, one should judiciously push a portion of devices into receiving mode in order to preserve the connectivity and to keep the isolation probability low. Furthermore, upper bounds on the cellular coverage probability are obtained incorporating load-based power allocation for both path-loss and fading-based cell association mechanisms, which are fairly accurate and consistent with our in-depth simulation results. Finally, implementation issues are discussed.
Humboldt: Exploring Linked Data

We present Humboldt, a novel user interface for browsing RDF data. Current user interfaces for browsing RDF data are reviewed. We argue that browsing tasks require both a facet browser’s ability to select and process groups of resources at a time and a ’resource at a time’ browser’s ability to navigate anywhere in a dataset. We describe Humboldt which combines these two features in a single coherent interface. Our approach is based on the operation of pivoting, which enables the user to move the focus of a browsing from one set of resources to a set of related resources. With repeated use of the pivot operation the user can browse anywhere in the data. We describe a preliminary evaluation of our approach and discuss its implications for further development.
Alternative Sigma Factor SigK Has a Role in Stress Tolerance of Group I Clostridium botulinum Strain ATCC 3502

ABSTRACT The role of the alternative sigma factor SigK in cold and osmotic stress tolerance of Clostridium botulinum ATCC 3502 was demonstrated by induction of sigK after temperature downshift and exposure to hyperosmotic conditions and by impaired growth of the sigK mutants under the respective conditions.
Insights on Quorum-Quenching Properties of Lysinibacillus fusiformis Strain RB21, a Malaysian Municipal Solid-Waste Landfill Soil Isolate, via Complete Genome Sequence Analysis

ABSTRACT Lysinibacillus fusiformis strain RB21 is a quorum-quenching bacterium that is able to degrade quorum-sensing signaling molecules. Here, we present the first complete genome sequence of L. fusiformis strain RB21. The finished genome is 4.8 Mbp in size, and the quorum-quenching gene was identified.