Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship of Religious Orientation and Spiritual Health to Resilience among High School Sophomores in Kerman

For downloading the full-text of this article please click here. Background and Objective: Resilience is one of the issues discussed in health psychology. Numerous studies have focused on factors related to this variable. The purpose of this study is to examine the role of religious orientation and spiritual health in predicting resilience. Method: This study is of descriptive and correlative nature. The statistical population of the research includes all 4611 female students of the second year of high school in Kerman. The sample of 360 students was selected through multistage cluster sampling method. Data collection instruments were religious orientation questionnaire (Allport, 1967), spiritual health questionnaire (Palutzian & Ellison, 1982), and Connor and Davidson’s resilience questionnaire (2003). To analyze the collected data, the statistical indices which are mean and standard deviation along with correlation and regression were used. In this study, the ethical issues were all considered and the authors declared no conflict of interest. Results: Analysis of data showed that there was a relationship between religious orientation as well as spiritual health and resilience among female students. In this regard, 0.51 and 0.54 of the resilience variance is predictable through internal and external religious orientation, respectively. Moreover, 0.48 and 0.56 of resilience variance is predictable through religious health and existential health, respectively. Conclusion: Considering the obtained results, those hypotheses which are based on the significant relationship of religious orientation and spiritual health to resilience are confirmed. Therefore, attaching importance to religion in educational contexts helps young adults to increase their resilience. For downloading the full-text of this article please click here.
TWO-STEP TECHNIQUE BASED LAPLACIAN FACTOR ESTIMATION FOR SPEECH ENHANCEMENT

The estimation of Laplacian factor is a crucial part of speech enhancement algorithms using Laplacian model priori. Classical methods for the estimation of this parameter suffer from the residual noise or time delay bias. In this paper, a novel algorithm called two-step technique for the estimation of Laplacian factor is proposed in discrete cosine transform domain. Based on the estimation theory of minimum mean square error (MMSE), the proposed algorithm computes directly the amplitude of the clean speech component to refine the estimated Laplacian factor in the original method, and thus the accurate result can be attained. Simulation results under different kinds of noisy conditions and levels demonstrate that the proposed algorithm possesses improved performance than that of the original method.
Tetrodotoxin as a Tool to Elucidate Sensory Transduction Mechanisms: The Case for the Arterial Chemoreceptors of the Carotid Body

Carotid bodies (CBs) are secondary sensory receptors in which the sensing elements, chemoreceptor cells, are activated by decreases in arterial PO2 (hypoxic hypoxia). Upon activation, chemoreceptor cells (also known as Type I and glomus cells) increase their rate of release of neurotransmitters that drive the sensory activity in the carotid sinus nerve (CSN) which ends in the brain stem where reflex responses are coordinated. When challenged with hypoxic hypoxia, the physiopathologically most relevant stimulus to the CBs, they are activated and initiate ventilatory and cardiocirculatory reflexes. Reflex increase in minute volume ventilation promotes CO2 removal from alveoli and a decrease in alveolar PCO2 ensues. Reduced alveolar PCO2 makes possible alveolar and arterial PO2 to increase minimizing the intensity of hypoxia. The ventilatory effect, in conjunction the cardiocirculatory components of the CB chemoreflex, tend to maintain an adequate supply of oxygen to the tissues. The CB has been the focus of attention since the discovery of its nature as a sensory organ by de Castro (1928) and the discovery of its function as the origin of ventilatory reflexes by Heymans group (1930). A great deal of effort has been focused on the study of the mechanisms involved in O2 detection. This review is devoted to this topic, mechanisms of oxygen sensing. Starting from a summary of the main theories evolving through the years, we will emphasize the nature and significance of the findings obtained with veratridine and tetrodotoxin (TTX) in the genesis of current models of O2-sensing.
Traceless and Site-Specific Ubiquitination of Recombinant Proteins

Protein ubiquitination is a post-translational modification that regulates almost all aspects of eukaryotic biology. Here we discover the first routes for the efficient site-specific incorporation of δ-thiol-l-lysine (7) and δ-hydroxy-l-lysine (8) into recombinant proteins, via evolution of a pyrrolysyl-tRNA synthetase/tRNACUA pair. We combine the genetically directed incorporation of 7 with native chemical ligation and desulfurization to yield an entirely native isopeptide bond between substrate proteins and ubiquitin. We exemplify this approach by demonstrating the synthesis of a ubiquitin dimer and the first synthesis of ubiquitinated SUMO.
Subcellular Trafficking of Mammalian Lysosomal Proteins: An Extended View

Lysosomes clear macromolecules, maintain nutrient and cholesterol homeostasis, participate in tissue repair, and in many other cellular functions. To assume these tasks, lysosomes rely on their large arsenal of acid hydrolases, transmembrane proteins and membrane-associated proteins. It is therefore imperative that, post-synthesis, these proteins are specifically recognized as lysosomal components and are correctly sorted to this organelle through the endosomes. Lysosomal transmembrane proteins contain consensus motifs in their cytosolic regions (tyrosine- or dileucine-based) that serve as sorting signals to the endosomes, whereas most lysosomal acid hydrolases acquire mannose 6-phosphate (Man-6-P) moieties that mediate binding to two membrane receptors with endosomal sorting motifs in their cytosolic tails. These tyrosine- and dileucine-based motifs are tickets for boarding in clathrin-coated carriers that transport their cargo from the trans-Golgi network and plasma membrane to the endosomes. However, increasing evidence points to additional mechanisms participating in the biogenesis of lysosomes. In some cell types, for example, there are alternatives to the Man-6-P receptors for the transport of some acid hydrolases. In addition, several “non-consensus” sorting motifs have been identified, and atypical transport routes to endolysosomes have been brought to light. These “unconventional” or “less known” transport mechanisms are the focus of this review.
Innate or Adaptive Immunity? The Example of Natural Killer Cells

Natural killer (NK) cells were originally defined as effector lymphocytes of innate immunity endowed with constitutive cytolytic functions. More recently, a more nuanced view of NK cells has emerged. NK cells are now recognized to express a repertoire of activating and inhibitory receptors that is calibrated to ensure self-tolerance while allowing efficacy against assaults such as viral infection and tumor development. Moreover, NK cells do not react in an invariant manner but rather adapt to their environment. Finally, recent studies have unveiled that NK cells can also mount a form of antigen-specific immunologic memory. NK cells thus exert sophisticated biological functions that are attributes of both innate and adaptive immunity, blurring the functional borders between these two arms of the immune response.
Molecular gas in NUclei of GAlaxies (NUGA) - XII. The head-on collision in NGC 1961

We present high-resolution maps of the CO(1-0) and CO(2-1) emission from the LINER 2 galaxy NGC 1961. This galaxy is unusual among late-type (Sc) disk galaxies in having a very large radial extent and inferred dynamical mass. We propose a head-on collision scenario to explain the perturbed morphology of this galaxy - both the off-centered rings and the inflated radius. This scenario is supported by the detection of a steep velocity gradient in the CO(1-0) map at the position of a southwest peak in radio continuum and near-infrared emission. This peak would represent the remnant of the disrupting companion. We use numerical models to demonstrate the plausibility of the scenario. While ram pressure stripping could in principle be important for shocking the atomic gas and produce the striking head-tail morphology, the non detection of this small galaxy group in X-ray emission suggests that any hot intragroup medium has too low a density. A prediction of the collision model is the propagation of ring waves from the center to the outer parts, superposed on a probable pre-existing m = 2 barred spiral feature, accounting for the observed complex structure of rings and spokes. This lopsided wave accounts for the sharp boundary observed in the atomic gas on the southern side. Through dynamical friction, the collision finishes quickly in a minor merger, the best fit being for a companion with a mass ratio 1:4. We argue that NGC 1961 has a strongly warped disk, which gives the false impression of a nearly face-on system; the main disk is actually more edge-on, and this error in the true inclination has led to the surprisingly high dynamical mass for a morphologically late-type galaxy. In addition, the outwardly propagating ring artificially enlarges the disk. The collision de-stabilizes the inner disk and can provide gas inflow to the active nucleus.
Improvement of Threshold Group Signature Scheme

A (t,n) threshold group signature scheme allows a singer to determine a (t,n) threshold strategy and only t or more signers of the group can sign messages on behalf of the group. Recently, Li et al. proposed a new threshold group signature scheme based on discrete logarithm problem, which is not only threshold-signing but also threshold-verifying. Unfortunately, their scheme are not secure, in their scheme the appointed group signer himself can generate a valid signature, which voilates unforgeability and threshold characteristics. Then we propose an improvement to overcome this security flaw.
Detection of Deregulated Modules Using Deregulatory Linked Path

The identification of deregulated modules (such as induced by oncogenes) is a crucial step for exploring the pathogenic process of complex diseases. Most of the existing methods focus on deregulation of genes rather than the links of the path among them. In this study, we emphasize on the detection of deregulated links, and develop a novel and effective regulatory path-based approach in finding deregulated modules. Observing that a regulatory pathway between two genes might involve in multiple rather than a single path, we identify condition-specific core regulatory path (CCRP) to detect the significant deregulation of regulatory links. Using time-series gene expression, we define the regulatory strength within each gene pair based on statistical dependence analysis. The CCRPs in regulatory networks can then be identified using the shortest path algorithm. Finally, we derive the deregulated modules by integrating the differential edges (as deregulated links) of the CCRPs between the case and the control group. To demonstrate the effectiveness of our approach, we apply the method to expression data associated with different states of Human Epidermal Growth Factor Receptor 2 (HER2). The experimental results show that the genes as well as the links in the deregulated modules are significantly enriched in multiple KEGG pathways and GO biological processes, most of which can be validated to suffer from impact of this oncogene based on previous studies. Additionally, we find the regulatory mechanism associated with the crucial gene SNAI1 significantly deregulated resulting from the activation of HER2. Hence, our method provides not only a strategy for detecting the deregulated links in regulatory networks, but also a way to identify concerning deregulated modules, thus contributing to the target selection of edgetic drugs.
/\ii rr^/\-Liusier-aLLeieraieu iviaLLii _ciigiiie ior Content-based Image Retrieval

AbstYftct—in tins paper, a nigii-periormaiice mat en engine ior content-based image retrieval is proposed. Highly customized floating-point(FP) units are designed, to provide the dynamic range and precision 01 standard rr units, but with considerably less area than standard rr units. JVIatch calculation arrays with various architectures and scales are designed and evaluated. An C-KLK. system is built on a 12-. r_PCrA cluster. Inter-. r_PCrA connections are based on standard 10-Gigabyte ethernet. The whole FPGA cluster can compare a query image against 150 million library images within 10 seconds, basing on detailed local features. Compared with the Intel Xeon 5650 server based solution, our implementation is 11.35 times taster and 34.81 times more power etticient.
Counting higher genus curves with crosscaps in Calabi-Yau orientifolds

We compute all loop topological string amplitudes on orientifolds of local Calabi-Yau manifolds, by using geometric transitions involving SO/Sp Chern-Simons the- ory, localization on the moduli space of holomorphic maps with involution, and the topo- logical vertex. In particular we count Klein bottles and projective planes with any number of handles in some Calabi-Yau orientifolds.
Exponential stabilization of 1-d wave equation with input delay

Abstract: In this paper, we consider the stabilization problem of 1-d wave equation with input delay. Suppose that the wave system is fixed at one end whereas a control force is applied at other end. Here we consider the control force of the form αu(t) + βu(t − τ) where τ is the time delay. In this paper we find a feedback control law that stabilizes exponentially the system for any |α| ̸= |β| and τ > 0.
Dynamicity in Scientific Workflows

Dynamicity is a recurrent topic in traditional business workflow systems. The need and feasibility to perform changes in workflow process instances while they are being executed has been a main (and to a long extend yet unsolved) challenge. More recently, the scientific workflow domain has also paid attention to this topic and some of the current scientific workflow management systems give a certain support for dynamicity. In general, there is a common agreement that dynamicity is an intrinsic requirement for scientific workflows, but the understanding about the real needs and functionality to be provided is confuse. This report is mainly focused on contributing to enhance such an understanding by analyzing dynamicity scenarios, requirements and proposals in scientific workflows. First, five general scenarios involving different dynamicity needs are described through the introduction of concrete examples. Then, these scenarios are used to identify a set of dynamicity requirements for scientific workflows support. Finally, a review of current well-known scientific workflow execution systems is presented, focusing on their proposals to support dynamicity.
Hand Gesture Recognition of Hand Shapes in Varied Orientations using Deep Learning

A large number of Deaf people are unable to communicate by means of spoken language. Thus, a translation system that converts South African Sign Language to English and vice versa would be invaluable to the Deaf community. In order to recognise sign language gestures, five fundamental gesture parameters, namely, hand shape, hand orientation, hand motion, hand location and facial expressions, need to be recognised separately. The research in this paper aims to utilise deep learning techniques, specifically convolutional neural networks, to recognise a set of hand shapes in various orientations within a live video stream captured on an iPhone mobile device. The research forms part of a larger project that aims to automatically translate South African Sign Language into English and vice versa. The research proposed two approaches for classifying gestures, a two stage approach and single classifier approach. The former approach managed to achieve an average accuracy of 70% and the latter an average accuracy of 67%.
Targeted metagenomics as a tool to tap into marine natural product diversity for the discovery and production of drug candidates

Microbial natural products exhibit immense structural diversity and complexity and have captured the attention of researchers for several decades. They have been explored for a wide spectrum of applications, most noteworthy being their prominent role in medicine, and their versatility expands to application as drugs for many diseases. Accessing unexplored environments harboring unique microorganisms is expected to yield novel bioactive metabolites with distinguishing functionalities, which can be supplied to the starved pharmaceutical market. For this purpose the oceans have turned out to be an attractive and productive field. Owing to the enormous biodiversity of marine microorganisms, as well as the growing evidence that many metabolites previously isolated from marine invertebrates and algae are actually produced by their associated bacteria, the interest in marine microorganisms has intensified. Since the majority of the microorganisms are uncultured, metagenomic tools are required to exploit the untapped biochemistry. However, after years of employing metagenomics for marine drug discovery, new drugs are vastly under-represented. While a plethora of natural product biosynthetic genes and clusters are reported, only a minor number of potential therapeutic compounds have resulted through functional metagenomic screening. This review explores specific obstacles that have led to the low success rate. In addition to the typical problems encountered with traditional functional metagenomic-based screens for novel biocatalysts, there are enormous limitations which are particular to drug-like metabolites. We also present how targeted and function-guided strategies, employing modern, and multi-disciplinary approaches have yielded some of the most exciting discoveries attributed to uncultured marine bacteria. These discoveries set the stage for progressing the production of drug candidates from uncultured bacteria for pre-clinical and clinical development.
Comparison of ballistic and strength training on swimming turn and dry-land leg extensor characteristics in elite swimmers

Swimmers undertake dry-land resistance training as part of their overall training regime in order to increase lower body force output, impulse and swim turn performance. We investigated whether short-term ballistic training or maximal strength training is more effective in enhancing leg extensor force characteristics during the swim turn. Twelve elite swimmers (10 males and 2 females 19.4 ± 1.0 y) were assigned to either strength (n = 6) or ballistic leg extensor (n = 6) training based on their coaching group for a six-week period. All testing was conducted during the final training cycle towards the World Championships selection trials. Swimmers undertook dry-land testing of a squat jump on a portable force platform with bodyweight only and an additional 30 kg load for males and 20 kg load for females. On the same day, all swimmers performed a turn analysis using a fixed force platform within the pool wall. There were no substantial differences between the strength and ballistic groups after the six-week intervention. Only squat jump peak velocity (loaded) showed a moderately large standardized difference (–0.71, ± 0.42 m/s) after six weeks in the strength-trained group. Relative peak power (4.0 ± 2.1 W/kg), squat jump peak force (loaded and unloaded) (195.0, ± 122.8 N; 155.0, ± 152.3 N), and squat jump impulse (unloaded) (2.9, ± 2.1 N) all showed small and clear improvements with ballistic training over the six-week intervention. Both strength and ballistic dry-land training can improve aspects of the push-off stage of the swim turn providing programming options for swimming and strength and conditioning coaches.
Foundations for MDA Case Tools

IntroductIon The model driven architecture (MDA) is an initiative proposed by the object management group (OMG), which is emerging as a technical framework to improve productivity , portability, interoperability, and maintenance (MDA, 2003). MDA promotes the use of models and model-to-model transformations for developing software systems. All artifacts, such as requirement specifications, architecture descriptions, design descriptions, and code are regarded as models. MDA distinguishes four main kinds of models: computation independent model (CIM), platform independent model (PIM), platform specific models (PSM), and implementation specific model (ISM). A CIM describes a system from the computation independent viewpoint that focuses on the environment of and the requirements for the system. In general, it is called domain model. A PIM is a model that contains no reference to the platforms that are used to realize it. A PSM describes a system with full knowledge of the final implementation platform. In this context, a platform is " a set of subsystems and technologies that provide a coherent set of functionality which any application supported by that platform can use without concern for the details of how the functionality is implemented " (MDA, 2003, p. 2-3). PIMs and PSMs are expressed using the unified modeling language (UML) combined with the object constraint language The idea behind MDA is to manage the evolution from CIMs to PIMs and PSMs that can be used to generate ex-ecutable components and applications. In MDA is crucial to define, manage, and maintain traces and relationships between different models and automatically transform them and produce code that is complete and executable. Metamodeling has become an essential technique in model-centric software development. The metamodeling framework for the UML itself is based on architecture with four layers: meta-metamodel, metamodel, model, and user objects. A metamodel is an explicit model of the constructs and rules needed to build specific models, its instances. A meta-metamodel defines a language to write metamodels. OCL can be used to attach consistency rules to models and metamodels. Related OMG standard metamodels and meta-metamodels such as meta object facility (MOF), software process engineering metamodel (SPEM) and common warehouse model (CWM) share a common design philosophy MOF defines a common way for capturing all the diversity of modeling standards and interchange constructs. MOF uses an object modeling framework that is essentially a subset of the UML core. The four main modeling concepts are " classes, which model MOF metaobjects; associations, which …
Safe diagnosability of discrete event systems

The problem of safe failure diagnosis in discrete event systems is addressed. Starting from the standard definition of diagnosability of discrete event systems, which deals with the problem of detecting the occurrence of an unobservable event using the available observations on the system, the problem of performing the detection before the system executes a forbidden string is introduced. For example, this constraint could be required to prevent local faults from developing into failures that could cause safety hazards. This idea results in a new language property for discrete event systems called safe diagnosability. Necessary and sufficient conditions to test this language property are presented. Moreover, the problem of explicitly taking into account safe diagnosability as a requirement in system design is discussed.