Miracle-dz/UniFAR-FTUs huggingface dataset:
Estimates of stress drop and crustal tectonic stress from the 27 February 2010 Maule, Chile, earthquake: Implications for fault strength

[1] The great 27 February 2010 Mw 8.8 earthquake off the coast of southern Chile ruptured a ∼600 km length of subduction zone. In this paper, we make two independent estimates of shear stress in the crust in the region of the Chile earthquake. First, we use a coseismic slip model constrained by geodetic observations from interferometric synthetic aperture radar (InSAR) and GPS to derive a spatially variable estimate of the change in static shear stress along the ruptured fault. Second, we use a static force balance model to constrain the crustal shear stress required to simultaneously support observed fore-arc topography and the stress orientation indicated by the earthquake focal mechanism. This includes the derivation of a semianalytic solution for the stress field exerted by surface and Moho topography loading the crust. We find that the deviatoric stress exerted by topography is minimized in the limit when the crust is considered an incompressible elastic solid, with a Poisson ratio of 0.5, and is independent of Young's modulus. This places a strict lower bound on the critical stress state maintained by the crust supporting plastically deformed accretionary wedge topography. We estimate the coseismic shear stress change from the Maule event ranged from −6 MPa (stress increase) to 17 MPa (stress drop), with a maximum depth-averaged crustal shear-stress drop of 4 MPa. We separately estimate that the plate-driving forces acting in the region, regardless of their exact mechanism, must contribute at least 27 MPa trench-perpendicular compression and 15 MPa trench-parallel compression. This corresponds to a depth-averaged shear stress of at least 7 MPa. The comparable magnitude of these two independent shear stress estimates is consistent with the interpretation that the section of the megathrust fault ruptured in the Maule earthquake is weak, with the seismic cycle relieving much of the total sustained shear stress in the crust.
Type I insulin-like growth factor receptor signaling in hematological malignancies

The insulin-like growth factor (IGF) signaling system plays key roles in the establishment and progression of different types of cancer. In agreement with this idea, substantial evidence has shown that the type I IGF receptor (IGF-IR) and its primary ligand IGF-I are important for maintaining the survival of malignant cells of hematopoietic origin. In this review, we discuss current understanding of the role of IGF-IR signaling in cancer with a focus on the hematological neoplasms. We also address the emergence of IGF-IR as a potential therapeutic target for the treatment of different types of cancer including plasma cell myeloma, leukemia, and lymphoma.
Collaborative hierarchical caching with dynamic request routing for massive content distribution

Massive content delivery in metropolitan networks has recently gained much attention with the successful deployment of commercial systems and an increasing user popularity. With an enormous volume of content available in the network, as well as the growing size of content owing to the popularity of high-definition video, the exploration of capacity in the caching network becomes a critical issue in providing guaranteed service. Yet, collaboration strategies among cache servers in emerging scenarios, such as IPTV services, are still not well understood so far. In this paper, we propose an efficient collaborative caching mechanism based on the topology derived from a real-world IPTV system, with a particular focus on exploring the capacity of the existing system infrastructure. We observe that collaboration among servers is largely affected by the topology characteristics and heterogeneous capacities of the network. Meanwhile, dynamic request routing within the caching network is strongly coupled with content placement decisions when designing the mechanism. Our proposed mechanism is implemented in a distributed manner, and is amenable to practical deployment. Our simulation results demonstrate the effectiveness of our proposed mechanism, as compared to conventional cache cooperation with static routing schemes.
The role of empathy in the development of social competence: a study of German school leavers

ABSTRACT The present study investigates how the components of social competence relate to the core components of empathy. It offers a systematic analysis of the effects of the independent variables – emotion recognition accuracy, emotional perspective taking and affective responsiveness – on the dependent variables – action evaluation, consequence anticipation, goal attainment and competence expectations. The study´s population, which was subjected to cross-sectional analysis, constisted of 130 mainstream school leavers. Structural Equation Modelling yielded a specified model which showed that the factors of evaluation of actions and anticipation of consequences were most strongly impacted by the level of emotional perspective taking. In addition, the empathy components were found to be positively correlated variables. The findings are discussed in the light of current work on social information processing, and their relevance to educational practice is explored.
Coherence Loci for a Homogeneous Volume Over a Double-Bounce Ground Return

The formulation of the polarimetric interferometric coherences derived by simple homogeneous-volume-over-ground models is revisited for the case of ground returns dominated by the double-bounce terms. The differences between single-transmit (single-tx) and alternate-transmit modes of the interferometer are analyzed by inspecting the positions of the coherences on the complex plane. An additional volume-decorrelation term appears when the interferometer is operated in a single-tx mode, which adds complexity in the potential inversion of the model parameters. This effect is even more noticeable for the cross-polar channels in the oriented case, since the phase of the coherence with an infinite ground-to-volume ratio does not correspond to the topographic phase, as observed for the copolar channels
Peran frustrasi pada pola asuh otoriter dan agresi: Model moderasi

Penelitian ini bertujuan untuk mengetahui peran pola asuh otoriter dalam meningkatkan kecenderungan perilaku agresi yang dimoderatori oleh frustrasi pada remaja. Responden penelitian ini berjumlah 150 responden. Instrumen yang digunakan adalah Parental Authory Questionnaire Scale (PAQ) yang disusun oleh Buri (1991), Skala frustrasi dan Aggression Questionnaire Buss-Perry Scale (Buss & Perry, 1992). Teknik analisis statistik yang digunakan dalam penelitian ini adalah analisis efek moderator model 1 PROCESS (Hayes, 2013). Hasil penelitian ini menunjukkan bahwa frustrasi secara signifikan memengaruhi besar kecilnya peranan pola asuh otoriter terhadap munculnya kecenderungan perilaku agresi. Remaja yang mengalami frustrasi yang tinggi (affect = 1.0043; p <.001) dan sedang (affect = 0.6274; p <.001) secara signifikan dapat meningkatkan peran pola asuh otoriter orang tua terhadap munculnya kecenderungan perilaku agresif. Namun, remaja yang mengalami frustrasi yang rendah tidak signifikan mendorong muncul perilaku agresi walaupau mereka mengalami gaya pengasuhan yang otoriter dari orang tua. Hal ini menunjukkan bahwa tingkat frustrasi pada remaja memegang peranan penting dalam terbentuknya kecenderungan perilaku agresi pada remaja yang mengalami gaya pengasuhan yang otoriter dari orang tua mereka.
Orleans: A Framework for Cloud Computing

Client + cloud computing is a disruptive, new computing platform, combining diverse client devices – PCs, smartphones, sensors, and single-function and embedded devices – with the unlimited, on-demand computation and data storage offered by cloud computing services such as Amazon’s AWS or Microsoft’s Windows Azure. As with every advance in computing, programming is a fundamental challenge as client + cloud computing combines many difficult aspects of software development. Orleans is a software framework for building client + cloud applications. Orleans encourages use of simple concurrency patterns that are easy to understand and implement correctly, building on an actor-like model with declarative specification of persistence, replication, and consistency and using lightweight transactions to support the development of reliable and scalable client + cloud software.
Assessment of the Characteristics of Interpersonal Communication Competence among Postgraduate Students from Different Cultures

This study was carried out to assess the characteristics of interpersonal communication competence among postgraduate students from different cultures at a Malaysian public university. This study applied the mixed methods research design with the participation of 130 postgraduate students from 18 different countries. The Interpersonal Competence Questionnaire (ICQ) was used as the main instrument of this study. Based on the results from this study, their interactions with their peers from different cultures helped the participants to improve the contact initiation, disclosure and conflict management skills of their interpersonal communication competence and gain some new personal and cultural skills and information. However, the participants were struggling to learn how to manage probable conflicts during their interactions with their peers from different cultures. The results from this study illustrate that the level of education variable affect interactions among individuals from different cultures in the Asian context of communication.
1,25-Dihydroxyvitamin D3 Inhibits the Differentiation and Migration of TH17 Cells to Protect against Experimental Autoimmune Encephalomyelitis

Background Vitamin D3, the most physiologically relevant form of vitamin D, is an essential organic compound that has been shown to have a crucial effect on the immune responses. Vitamin D3 ameliorates the onset of the experimental autoimmune encephalomyelitis (EAE); however, the direct effect of vitamin D3 on T cells is largely unknown. Methodology/Principal Findings In an in vitro system using cells from mice, the active form of vitamin D3 (1,25-dihydroxyvitamin D3) suppresses both interleukin (IL)-17-producing T cells (TH17) and regulatory T cells (Treg) differentiation via a vitamin D receptor signal. The ability of 1,25-dihydroxyvitamin D3 (1,25(OH)2D3) to reduce the amount of IL-2 regulates the generation of Treg cells, but not TH17 cells. Under TH17-polarizing conditions, 1,25(OH)2D3 helps to increase the numbers of IL-10-producing T cells, but 1,25(OH)2D3's negative regulation of TH17 development is still defined in the IL-10−/− T cells. Although the STAT1 signal reciprocally affects the secretion of IL-10 and IL-17, 1,25(OH)2D3 inhibits IL-17 production in STAT1−/− T cells. Most interestingly, 1,25(OH)2D3 negatively regulates CCR6 expression which might be essential for TH17 cells to enter the central nervous system and initiate EAE. Conclusions/Significance Our present results in an experimental murine model suggest that 1,25(OH)2D3 can directly regulate T cell differentiation and could be applied in preventive and therapeutic strategies for TH17-mediated autoimmune diseases.
One-stage full-mouth disinfection and systemic antimicrobial therapy in generalized aggressive periodontitis

The amoxicillin-metronidazole combination as an adjunct to the one-stage full-mouth disinfection represents a viable approach to deal with generalized aggressive periodontitis. In highly compliant patients it resulted in clinical as well as microbiological improvement over 6 months. Riassunto L'associazione one-stage full-mouth disinfection ed amoxicillina-metronidazolo si è dimostrata efficace nel trattamento della parodontite aggressiva generalizzata. Nei pazienti con elevata compliance è possibile mantenere un controllo dei parametri clinici e microbiologici nei 6 mesi successivi al trattamento.
Sentiment - subjective analysis framework for arabic social media posts

The need for designing Arabic text mining systems for the use on social media posts is increasingly becoming a significant and attractive research area. It serves and enhances the knowledge needed in various domains. The main focus of this paper is to propose a novel framework combining sentiment analysis with subjective analysis on Arabic social media posts to determine whether people are interested or not interested in a defined subject. For those purposes, text classification methods- including preprocessing and machine learning mechanisms-are applied. Essentially, the performance of the framework is tested using Twitter as a data source, where possible volunteers on a certain subject are identified based on their posted tweets along with their subject-related information. Twitter is considered because of its popularity and its rich content from online microblogging services. The results obtained are very promising with an accuracy of 89 %, thereby encouraging further research.
Secure Friend Discovery via Privacy-Preserving and Decentralized Community Detection

The problem of secure friend discovery on a social network has long been proposed and studied. The requirement is that a pair of nodes can make befriending decisions with minimum information exposed to the other party. In this paper, we propose to use community detection to tackle the problem of secure friend discovery. We formulate the first privacy-preserving and decentralized community detection problem as a multiobjective optimization. We design the first protocol to solve this problem, which transforms community detection to a series of Private Set Intersection (PSI) instances using Truncated Random Walk (TRW). Preliminary theoretical results show that our protocol can uncover communities with overwhelming probability and preserve privacy. We also discuss future works, potential extensions and variations.
Cylindrical FDTD with improved time step size based on hybrid Newmark-Beta discretization

A hybrid FDTD update scheme for cylindrical meshes is proposed in order to overcome limitations on the maximum stable time step that arise from inherently small grid steps. The algorithm combines the advantages of explicit central differencing schemes and implicit, but therefore unconditionally stable, Newmark-Beta schemes. It is shown to yield the same results as an existing algorithm for this purpose, but in a more intuitive fashion. Furthermore, a modification for rotationally symmetric structures is introduced and used in a numerical example.
Peroxynitrite-Driven Apoptotic Death Impairment of Tyrosine Phosphorylation and Activation and Proliferation by Promoting Peroxynitrite Inhibits T Lymphocyte

Peroxynitrite (ONOO 2 ) is a potent oxidizing and nitrating agent produced by the reaction of nitric oxide with superoxide. It readily nitrates phenolic compounds such as tyrosine residues in proteins, and it has been demonstrated that nitration of tyrosine residues in proteins inhibits their phosphorylation. During immune responses, tyrosine phosphorylation of key substrates by protein tyrosine kinases is the earliest of the intracellular signaling pathways following activation through the TCR complex. This work was aimed to evaluate the effects of ONOO 2 on lymphocyte tyrosine phosphorylation, proliferation, and survival. Additionally, we studied the generation of nitrating species in vivo and in vitro during immune activation. Our results demonstrate that ONOO 2 , through nitration of tyrosine residues, is able to inhibit activation-induced protein tyrosine phosphorylation in puriﬁed lymphocytes and prime them to undergo apoptotic cell death after PHA- or CD3-mediated activation but not upon phorbol ester-mediated stimulation. We also provide evidence indicating that peroxynitrite is produced during in vitro immune activation, mainly by cells of the monocyte/macrophage lineage. Furthermore, immunohistochemical studies demonstrate the in vivo generation of nitrating species in human lymph nodes undergoing mild to strong immune activation. Our results point to a physiological role for ONOO 2 as a down-modulator of immune responses and also as key mediator in cellular and tissue injury associated with chronic activation of the immune system. The Journal of Immunology, 1999, 162: 3356–3366.
Missense mutation in the tubulin-specific chaperone E (Tbce) gene in the mouse mutant progressive motor neuronopathy, a model of human motoneuron disease

Progressive motor neuronopathy (pmn) mutant mice have been widely used as a model for human motoneuron disease. Mice that are homozygous for the pmn gene defect appear healthy at birth but develop progressive motoneuron disease, resulting in severe skeletal muscle weakness and respiratory failure by postnatal week 3. The disease starts at the motor endplates, and then leads to axonal loss and finally to apoptosis of the corresponding cell bodies. We localized the genetic defect in pmn mice to a missense mutation in the tubulin-specific chaperone E (Tbce) gene on mouse chromosome 13. The human orthologue maps to chromosome 1q42.3. The Tbce gene encodes a protein (cofactor E) that is essential for the formation of primary α-tubulin and β-tubulin heterodimeric complexes. Isolated motoneurons from pmn mutant mice exhibit shorter axons and axonal swelling with irregularly structured β-tubulin and tau immunoreactivity. Thus, the pmn gene mutation provides the first genetic evidence that alterations in tubulin assembly lead to retrograde degeneration of motor axons, ultimately resulting in motoneuron cell death.
Near minimum-time direct voltage control algorithms for wheeled mobile robots with current and voltage constraints

Near minimum-time direct voltage control (DVC) algorithms synthesizing path-planning and path-following are proposed for wheeled mobile robots (WMRs) satisfying (i) initial and final postures and velocities as well as (ii) voltage and current constraints. To overcome nonholonomic and nonlinear properties of WMRs, we divide our control algorithm for cornering motion into three sections: TSD (Translational Section of Deceleration), RS (Rotational Section), and TSA (Translational Section of Acceleration). We developed off-line DVC algorithms using the quadratic problem with the object function minimizing the total time, where voltages to the motors are controlled directly without velocity/torque-servo modules, while satisfying the current constraints. Two methods of searching for the two control parameters (number of steps for RS MR and velocity constraint in RS β) were considered: The one is composed of one simple 1-dimensional search for β, and the other is composed of two 1-dimensional searches for MR and β which has better performance. Performances of the proposed control algorithms are validated via various simulations.
Design and Implementation of an Isolated Sandbox with Mimetic Internet Used to Analyze Malwares

Recent viruses, worms, and bots, called malwares, often have anti-analysis functions such as mechanisms that confirm connectivity to certain Internet hosts and detect virtualized environments. We discuss how malwares can be kept alive in an analyzing environment by disabling their anti-analyzing mechanisms. To avoid any impacts to/from the Internet, we conclude that analyzing environments should be disconnected from the Internet but must be able to make malwares believe that they are connected to the real Internet. We also conclude that, for executing environments to analyze anti-virtualization malwares, they should not be virtualized but must be as easily re-constructable as a virtualized environment. To reconcile these cross-purposes, we designed an isolated sandbox that consists of a mimetic Internet and renewable actual nodes. We implemented a prototype system and conducted an experiment to test the efficiency of our sandbox.
The non-Gaussian tail of cosmic-shear statistics

Owing to gravitational instability, an initially Gaussian density field develops non-Gaussian features as the Universe evolves. The most prominent non-Gaussian features are massive haloes, visible as clusters of galaxies. The distortion of high-redshift galaxy images because of the tidal gravitational field of the large-scale matter distribution, called cosmic shear, can be used to investigate the statistical properties of the large-scale structure (LSS). In particular, non-Gaussian properties of the LSS will lead to a non-Gaussian distribution of cosmic-shear statistic. The aperture mass (Map) statistics, recently introduced as a measure for cosmic shear, is particularly well suited for measuring these non-Gaussian properties. In this paper we calculate the highly non-Gaussian tail of the aperture mass probability distribution, assuming Press–Schechter theory for the halo abundance and the ‘universal’ density profile of haloes as obtained from numerical simulations. We find that for values of Map much larger than its dispersion, this probability distribution is closely approximated by an exponential, rather than a Gaussian. We determine the amplitude and shape of this exponential for various cosmological models and aperture sizes, and show that wide-field imaging surveys can be used to distinguish between some of the currently most popular cosmogonies. Our study here is complementary to earlier cosmic-shear investigations, which focused more on two- and three-point statistical properties.
Analysis and assessment of STATCOM's effectiveness in improving transient stability for power system

Many of papers refers to study of application for FACTS. Especially for using reactive compensators for 500KV power system in order to increase the static voltage stability margin and transient stability enhancement have considered. However the selection of suitable Var source (STATCOM or SVC) also need to be considered. The purpose of this paper is to solve the above problems in order to suggest a olution of the appropriate shunt compensator for a reality 500KV power system. All the simulations for the above work have been carried out using MATLAB-SIMULINK environment.
Privacy-Aware Community Sensing Using Randomized Response

Community sensing is an emerging system which allows the increasing number of mobile phone users to share effectively minute statistical information collected by themselves. This system relies on participants' active contribution including intentional input data through mobile phone's applications, e.g. Facebook, Twitter and Linkdin. However, a number of privacy concerns will hinder the spread of community sensing applications. It is difficult for resource-constrained mobile phones to rely on complicated encryption scheme. We should prepare a privacy-preserving community sensing scheme with less computational-complexity. Moreover, an environment that is reassuring for participants to conduct community sensing is strongly required because the quality of the statistical data is depending on general users' active contribution. In this article, we suggest a privacy-preserving community sensing scheme for human-centric data such as profile information by using the combination of negative surveys and randomized response techniques. By using our method described in this paper, the server can reconstruct the probability distributions of the original distributions of sensed values without violating the privacy of users. Especially, we can protect sensitive information from malicious tracking attacks. We evaluated how this scheme can preserve the privacy while keeping the integrity of aggregated information.