Miracle-dz/UniFAR-FTUs huggingface dataset:
An Efficient Face Recognition with ANN using Hybrid Feature Extraction Methods

a day's face recognition is the most interesting and active research area in the field of phycology, neuroscience, and computer vision. In this paper a fast efficient algorithm is developed with the better recognition rate of face in different conditions that is illumination, head pose, expressions etc. In which we have extract the global and local features using PCA (Principle Component Analysis) and LBP (Local Binary Pattern) respectively. we have experiment the proposed algorithm with the standard Yale database which contains 15 individuals with each contains 11 images(15*11). So the fusion of Global and Local features are fed to the MLP (Multilayer Perceptron). The BPMLP (Backpropagation Multilayer Perceptron) is used for the classification. The proposed method achieves 93% accuracy compare to the existing approach.
Study design issues in the analysis of complex genetic traits

Many common diseases that potentially have a large public health impact, such heart disease, cancer, and diabetes, are known or thought to have a genetic component to risk. These traits are often complex with multiple contributing genetic and non-genetic factors. The identification of genetic risk factors through genetic mapping and cloning studies may aid our understanding of the underlying mechanism of disease. Unfortunately large sample sizes are often required for linkage analysis of complex traits, resulting in a need to identify cost-effective strategies. The use of power and sample size considerations as the criteria for evaluating methods may grossly underestimate the utility of some designs. Additional factors can be incorporated into the analysis by considering the overall cost of a study including the pedigree collection, marker genotyping, and statistical analysis. Using analytical and simulation methods, we evaluate three study design issues relevant to cost-effective linkage analysis of complex traits.First, we demonstrate that pedigrees of the same size and structure that differ in the number of affected and unaffected individuals also differ in the probability of segregating a particular trait locus, which affects the power to detect linkage at that locus. Although the optimal pedigrees for detecting linkage to a particular trait locus are highly dependent on the trait model, we identify pedigree selection schemes that are cost-effective for a variety of underlying trait models. Second, we identify characteristics of single nucleotide polymorphisms (SNPs) for a cost-effective genome screen compared to the current microsatellite-based technology. Issues that are addressed in comparing the markers include the information content for clustered SNPs in the presence or absence of linkage disequilibrium, the marker spacing, and the map accuracy. Finally, we describe a method called 'downcoding' to reduce the computational burden associated with currently available likelihood-based methods that are potentially more powerful for detecting linkage than alternative methods. It is often not possible to use these methods without downcoding because of limitations in the available computational resources. Through consideration of the three topics described above, we are able to identify cost-effective strategies for the analysis of complex genetic traits.
Real-time guitar string detection for music education software

In this paper, we present a novel approach to real-time detection of the string number and fretboard position from polyphonic guitar recordings. Our goal is to assess, if a music student is correctly performing guitar exercises presented via music education software or a remote guitar teacher. We combine a state-of-the art approach for multi-pitch detection with a subsequent audio feature extraction and classification stage. Performance of the proposed system is evaluated with manually annotated chords recorded using different guitars.
Erste Analysen zur Kriteriumsvalidität des Sprachstandserhebungstest für Kinder im Alter zwischen 5 und 10 Jahren (SET 5-10)

Zusammenfassung Hintergrund: Der Sprachstandserhebungstest für Kinder im Alter zwischen 5 und 10 Jahren (SET 5-10) wurde konstruiert, um eine differenzierte und valide Diagnostik des Entwicklungsstands der Sprache und dessen weiteren Verlauf zu ermöglichen. Bei der Konstruktion des Verfahrens wurde die Gruppe der 5- bis 10-jährigen Kinder berücksichtigt. Methode: Im Rahmen einer Untersuchung von 71 Kindern im Alter zwischen 7 und 8 Jahren wurde die konvergente Validität anhand der Korrelationen von SET-5-10-Skalen mit Testverfahren überprüft, die vergleichbare Konzepte erheben. Ergebnisse: Die Korrelationen zwischen den Subskalen des SET 5-10 und vergleichbaren Verfahren sprechen für eine mittlere bis hohe Validität (r=0,4–0,7) der SET-5-10-Skalen. Diskussion: Die Ergebnisse verweisen auf verlässliche Validitätserwartungen für das untersuchte Verfahren. Weitere Studien mit größerem Stichprobenumfang müssen folgen, um diese Ergebnisse zu stützen und auch bei anderen Altersstufen zu überprüfen.
Optimal Repair Layering for Erasure-Coded Data Centers

Repair performance in hierarchical data centers is often bottlenecked by cross-rack network transfer. Recent theoretical results show that the cross-rack repair traffic can be minimized through repair layering, whose idea is to partition a repair operation into inner-rack and cross-rack layers. However, how repair layering should be implemented and deployed in practice remains an open issue. In this article, we address this issue by proposing a practical repair layering framework called DoubleR. We design two families of practical double regenerating codes (DRC), which not only minimize the cross-rack repair traffic but also have several practical properties that improve state-of-the-art regenerating codes. We implement and deploy DoubleR atop the Hadoop Distributed File System (HDFS) and show that DoubleR maintains the theoretical guarantees of DRC and improves the repair performance of regenerating codes in both node recovery and degraded read operations.
Health psychology: why do some people get sick and some stay well?

INTRODUCTION 230 SOCIAL ENVIRONMENT AS CONTRIBUTOR TO DISEASE '"'''''''''''''''''''''''''''''''''''''''' 232 Stress 232 Social Connections 236 DISPOSITIONS AS CONTRIBUTORS TO DISEASE 238 Type A and Hostility 238 Depression, Distress, and Exhaustion 239 Neuroticism and Negative A. f{ectivity 241 Optimism, Explanatory Style, and Self-Esteem 242 HEALTH-RELATED BEHAVIORS 243 Links with Stress and Support 243 Links with Dispositions . 244 Analytic Issues . 244 Other Influences on Health-related Behaviors 245 New Health Risks 246 PHYSIOLOGICAL MECHANISMS 247 Cardiovascular Reactivity to Stress 247
Expression and role of calcium‐ATPase pump and sodium‐calcium exchanger in differentiated trophoblasts from human term placenta

Although placental transfer of maternal calcium (Ca2+) is a crucial process for fetal development, the biochemical mechanisms are not completely elucidated. Especially, mechanisms of syncytiotrophoblast Ca2+ extrusion into fetal circulation remain to be established. In the current study we have investigated the characteristics of Ca2+ efflux in syncytiotrophoblast‐like structure originating from the differentiation of cultured trophoblasts isolated from human term placenta. Time‐courses of Ca2+ uptake by differentiated human trophoblasts displayed rapid initial entry (initial velocity (Vi) of 8.82 ± 0.86 nmol/mg protein/min) and subsequent establishment of a plateau. Ca2+ efflux studies with 45Ca2+‐loaded cells also showed rapid decline of cell‐associated 45Ca2+ with a Vi of efflux (Vie) of 8.90 ± 0.96 nmol/mg protein/min. Expression of membrane systems responsible for intracellular Ca2+ extrusion from differentiated human trophoblast were investigated by RT‐PCR. Messenger RNAs of four known isoforms of PMCA (PMCA 1–4) were detected. Messenger RNAs of two cloned human NCX isoforms (NCX1 and NCX3) were also revealed. More specifically, both splice variants NCX1.3 and NCX1.4 were amplified by PCR with total RNA of differentiated human trophoblast cells. Ca2+ flux studies in Na‐free incubation medium indicated that NCX played a minimal role in the cell Ca2+ fluxes. However, erythrosine B (inhibitor of PMCA) time‐ and dose‐dependently increased cell associated 45Ca2+ suggesting a principal role of plasma membrane Ca2+‐ATPase (PMCA) in the intracellular Ca2+ extrusion of syncytiotrophoblast‐like structure originating from the differentiation of cultured trophoblast cells isolated from human term placenta. Mol. Reprod. Dev. 65: 283–288, 2003. © 2003 Wiley‐Liss, Inc.
Multiplier-less Artificial Neurons exploiting error resiliency for energy-efficient neural computing

Large-scale artificial neural networks have shown significant promise in addressing a wide range of classification and recognition applications. However, their large computational requirements stretch the capabilities of computing platforms. The fundamental components of these neural networks are the neurons and its synapses. The core of a digital hardware neuron consists of multiplier, accumulator and activation function. Multipliers consume most of the processing energy in the digital neurons, and thereby in the hardware implementations of artificial neural networks. We propose an approximate multiplier that utilizes the notion of computation sharing and exploits error resilience of neural network applications to achieve improved energy consumption. We also propose Multiplier-less Artificial Neuron (MAN) for even larger improvement in energy consumption and adapt the training process to ensure minimal degradation in accuracy. We evaluated the proposed design on 5 recognition applications. The results show, 35% and 60% reduction in energy consumption, for neuron sizes of 8 bits and 12 bits, respectively, with a maximum of ~2.83% loss in network accuracy, compared to a conventional neuron implementation. We also achieve 37% and 62% reduction in area for a neuron size of 8 bits and 12 bits, respectively, under iso-speed conditions.
“He Acted Like a Crazy Person”: Exploring the Influence of College Students’ Recall of Stereotypic Media Representations of Mental Illness

Nearly half of all U.S. adults will be diagnosed with a mental illness at some point in their developmental trajectory, and college students may be particularly vulnerable to experience mental distress. Despite its prevalence, public perception about mental illness remains obscured by misinformation and social stigma. Scholars have long recognized the role that mass media play in cultivating and perpetuating this stigma. The purpose of this study was to survey college students (N = 359) to explore how mass media prime stereotypic conceptions about mental illness and subsequently influence the mechanisms of social stigma. Results indicated that media use predicted higher estimates of the prevalence of mental illness. Participants’ descriptions of mentally ill media characters were characterized by stereotypic attributes including violent behaviors, angry outbursts, childlike behaviors, and severe symptomatology. Recall of stereotypic depictions of mental illness predicted discomfort around people with mental illness, but those participants who defined mental illness using severe symptomatology were more willing to communicate concerns about mental illness. These findings illuminate why it is necessary to assess how audiences perceive media representations of mental illness in order to understand the mechanisms through which mass media shape public perception about mental illness.
2D/3D Switchable Autostereoscopic Display Based on Polymer-Stabilized Blue-Phase Liquid Crystal Lens

A 2D/3D switchable autostereoscopic display based on a polymer-stabilized blue-phase liquid crystal (PSBPLC) lens is proposed. The operating principle of the PSBPLC lens is analyzed. We have designed a 2-view 2D/3D switchable autostereoscopic display equipped with a PSBPLC lens on a liquid crystal display panel. The 2D/3D switching lens is polarization-independent and performs fast switching because of the employment of the PSBPLC. Experiment results show that the proposed 2D/3D switchable autostereoscopic display achieves good 2D and 3D performance.
Scaling Multiple Point Statistics for Non-Stationary Geostatistical Modeling

Multiple-point statistics are used in geostatistical simulation to improve forecasting of responses that are highly dependent on the reproduction of complex features of the phenomenon that cannot be captured by conventional two-point simulation methods. Inference of multiple-point statistics is often based on a training image that depicts the features that provide the character to the geological event being modelled. One limitation of this approach is that the univariate distribution of categories (facies or rock types) in the training image may not match the target statistics of the final model. The question of scaling multiple-point statistics arises, the idea being to take the statistics from the training image and scale them in a repeatable manner and honouring the target univariate proportions of categories.
The Students As LifeStyle Activists (SALSA) program

Adolescence is a critical time for developing healthy lifestyle behaviours. It is a period where young people assume a greater responsibility for their physical activity and eating habits, which often persist into adulthood.1 Schools are an ideal setting for promoting health, as most adolescents attend school and can be easily reached. There is also strong evidence demonstrating that school-based programmes can increase physical activity and improve dietary habits of students.2 3 The Students As LifeStyle Activists (SALSA) programme uses a peer educational model, driven by students, to promote physical activity and healthy eating in a supportive school environment.4 Our premise is that students not only learn through teaching their peers, but they also serve as powerful motivators and role models for others.5 Adolescents can also be effective ‘change agents’ within their family and the wider school community. The SALSA programme is underpinned by social cognitive theory and the empowerment education approach and aligns with the WHO’s health promoting schools framework.4 6 Our unique peer education model involving university and high school students as learners and educators is demonstrated in this brief animation: http://tinyurl.com/SALSAprogram-model. In summary, volunteer university students from health/education faculties, who …
Low-Power and High-Performance 1-Bit CMOS Full-Adder Cell

In this paper a new low power and high performance adder cell using a new design style called “Bridge” is proposed. The bridge design style enjoys a high degree of regularity, higher density than conventional CMOS design style as well as lower power consumption, by using some transistors, named bridge transistors. Simulation results illustrate the superiority of the resulting proposed adder against conventional CMOS 1-bit full-adder in terms of power, delay and PDP. We have performed simulations using HSPICE in a 90 nanometer (nm) standard CMOS technology at room temperature; with supply voltage variation from 0.65v to 1.5v with 0.05v steps.
MobileAppScrutinator: A Simple yet Efficient Dynamic Analysis Approach for Detecting Privacy Leaks across Mobile OSs

Smartphones, the devices we carry everywhere with us, are being heavily tracked and have undoubtedly become a major threat to our privacy. As " Tracking the trackers " has become a necessity, various static and dynamic analysis tools have been developed in the past. However, today, we still lack suitable tools to detect, measure and compare the ongoing tracking across mobile OSs. To this end, we propose MobileAppScrutinator, based on a simple yet efficient dynamic analysis approach, that works on both Android and iOS (the two most popular OSs today). To demonstrate the current trend in tracking, we select 140 most representative Apps available on both Android and iOS AppStores and test them with MobileAppScrutinator. In fact, choosing the same set of apps on both Android and iOS also enables us to compare the ongoing tracking on these two OSs. Finally, we also discuss the effectiveness of privacy safeguards available on Android and iOS. We show that neither Android nor iOS privacy safeguards in their present state are completely satisfying.
Noise-aided dynamic range compression using selective processing in a statistics-dependent stochastic resonance model

This paper presents a noise-aided dynamic range compression algorithm using a stochastic resonance model in spatial domain. An input statistics-dependent stochastic resonance (ISSR) model, that is designed for contrast enhancement of dark images, is used here to enhance an image with both bright and dark areas. The underilluminated regions of such an image are selected as the De Vries Rose region from a human visual system-based segmentation algorithm, and then processed using the ISSR model. It is observed that by semi-adaptively changing the processing parameters with iteration, the processed dark regions and the unprocessed bright regions of an image smoothly merge producing a quality of dynamic range compression in the image. The performance of the proposed algorithm is characterized using image quality index for tone-mapped images and a no-reference perceptual quality measure. Results and comparative analysis suggest notable performance of the proposed algorithm with fewer iteration.
Cold shock protein A plays an important role in the stress adaptation and virulence of Brucella melitensis.

Brucella melitensis is a facultative intracellular pathogen that mainly resides within macrophages. The mechanisms employed by Brucella to adapt to harsh intracellular environments and survive within host macrophages are not clearly understood. Here, we constructed a cspA gene deletion mutant, NIΔcspA, that did not exhibit any discernible growth defect at a normal culture temperature (37 °C) or at a low temperature (15 °C). However, expression of the cspA gene in Brucella was induced by cold, acidic, and oxidative conditions, as determined via quantitative reverse transcription PCR. Unlike its parental strain, B. melitensis NI, the NIΔcspA mutant showed an increased sensitivity to acidic and H2 O2 stresses, especially during the mid-log-phase, and these stress conditions would presumably be encountered by bacteria during intracellular infections. Moreover, macrophage and mouse infection assays indicated that the NIΔcspA mutant fails to replicate in cultured J774.A1 murine macrophages and is rapidly cleared from the spleens of experimentally infected BALB/c mice. These findings suggest that the Brucella cspA gene makes an essential contribution to virulence in vitro and in vivo, most likely by allowing brucellae to adapt appropriately to the harsh environmental conditions encountered within host macrophages.
b-CATENIN IS REQUIRED FOR MAINTAINING HIPPOCAMPAL MORPHOLOGY DURING THE PERINATAL PERIOD

In mice, the compact hippocampal primordium is formed during the prenatal stage by early-generated neurons that migrate from the lateral ventricular zone. However, despite much being understood about the formation of the hippocampus, the molecular mechanisms that maintain the morphology of the hippocampal primordium after its formation remain to be characterized. b-Catenin is a key factor of canonical Wnt signaling and also a component of adherens junctions. Previous embryonic deletion studies have demonstrated that b-catenin is required for early development and generation of granule cells. However, whether b-catenin is involved in themorphological maintenance of the hippocampus as a cell adhesion molecule is still unknown. Here, we report that perinatal deletion of b-catenin in postmitotic neurons and some radial glial cells of hippocampus using CamKIIa-iCre; b-catenin conditional knockout mice, leads to disorganizationof the radial glial scaffold and consequentially severe defects in hippocampal morphology. We demonstrate that b-catenin is required for maintaining radial glial scaffold possibly via its well-known role in cell adhesion during the perinatal period. These findings provide essential advances into our understanding of the maintenance of the hippocampal primordium during the perinatal period. 2014 IBRO. Published by Elsevier Ltd. All rights reserved.
Aplasia Ras homologue member I overexpression induces apoptosis through inhibition of survival pathways in human hepatocellular carcinoma cells in culture and in xenograft

The aim of the present study was to determine the effects of ARHI (aplasia Ras homologue member I; also known as DIRAS3), a member of the Ras superfamily, on HCC (hepatocellular carcinoma) cells and to define the molecular pathways involved. Stable transfection of ARHI into the HCC cell line Hep3B that lacks expression of this gene reduced cell proliferation significantly as compared with the transfection of empty vector (P<0.01). Moreover, the re‐expression of ARHI induced significant apoptosis, whereas a few vector transfectants or non‐transfected cells displayed apoptosis. Mechanistically, ARHI restoration impeded the activation of both Akt (also called protein kinase B) and NF‐κB (nuclear factor κB). In vivo, restoring ARHI also exerted suppressive effects on xenograft tumour growth, which was coupled with increased apoptosis. Together, these results indicate that ARHI has pro‐apoptotic effects on HCC cells, which is associated with the inactivation of both Akt and NF‐κB survival pathways.
Poly(d,l-lactide-co-glycolide)–chitosan composite particles for the treatment of lung cancer

Tumor heterogeneity makes combination chemotherapy one of the preferred modes of treatment regimens. In this work, sequential exposure of two anticancer agents, paclitaxel (Tx) followed by topotecan (TPT), was shown to have a synergistic effect on non-small cell lung cancer (NSCLC) cell line, NCI-H460. In order to improve patient compliance, the aforementioned concept was translated into a drug delivery system comprising of poly(d,l-lactide-co-glycolide) (PLGA)–chitosan composite particles. TPT-containing chitosan micro-/nanoparticles were prepared by the facile technique of electrospraying and encapsulated within PLGA microparticles using emulsion-solvent evaporation technique for delayed release of TPT. The formulation containing Tx- and TPT-loaded composite particles demonstrated synergism when exposed to NCI-H460 cellular aggregates (tumoroids) generated in vitro. Overall, the results of this study demonstrated the potential of the formulation containing Tx and PLGA–chitosan (TPT-loaded) composite particles for the treatment of lung cancer.
Proliferating Hemangioma of Infancy: Successful Treatment with Topical 5% Imiquimod Cream

Abstract: A 4‐month‐old girl had a proliferating hemangioma of infancy (infantile hemangioma) affecting the chest wall. The lesion had appeared 1 week after birth, demonstrating both superficial and deep components, and was rapidly enlarging. It had become painful and superficially eroded. Treatment with topical 5% imiquimod cream three times a week was associated with signs of involution after 10 days, and complete resolution after 10 weeks of therapy. The treatment was well tolerated.