Miracle-dz/UniFAR-FTUs huggingface dataset:
SST + gem5 = a scalable simulation infrastructure for high performance computing

High Performance Computing (HPC) faces new challenges in scalability, performance, reliability, and power consumption. Solving these challenges will require radically new hardware and software approaches. It is impractical to explore this vast design space without detailed system-level simulations. However, most of the existing simulators are either not sufficiently detailed, not scalable, or cannot evaluate key system characteristics such as energy consumption or reliability. To address this problem, we integrate the highly detailed gem5 performance simulator into the parallel Structural Simulation Toolkit (SST). We add the fast-forwarding capability in the SST/gem5 and port the lightweight Kitten operating system on gem5. In addition, we improve the reliability model in SST with a comprehensive analysis of system reliability. Utilizing the simulation framework, we evaluate the impact of two energy-efficient resource-conscious scheduling policies on system reliability. Our results show that the effectiveness of scheduling policies differ according to the composition of workload and system topology.
A probabilistic approach to modeling two-dimensional pointing

We investigate and model two-dimensional pointing where the target distance and size vary as does the angle of movement. We first study the spread of hits in a rapid approximate pointing task at varied distances and movement angles. Consistent with the literature, our results show that the spread of hits along the movement direction deviate more than the spread of hits in the direction perpendicular to movement, and both spreads increase with distance. Based on the distribution of this spread of hits, we propose and validate a new probabilistic model that describes two-dimensional pointing. Unlike previous models, our model accounts for more variables of two-dimensional pointing and can be generalized to any target shape, size, orientation, location, and dimension. In contrast to previous work, which suggests that target height has minimal impact on performance when it is larger than the width, our results show that, even when height is greater than width, it can significantly impact movement time.
A novel KRAS gene mutation report in sporadic colorectal cancer, from Northwest of Iran

While the role of KRAS gene mutations has been widely accepted for predicting responses to anti‐EGFR therapy in patients with colorectal cancer, although this study was based on observation of a single case it gives hope that some KRAS gene mutation may have favorable prognosis. More studies are required on patients with similar mutation to validate this finding.
A Process-Focused Model of Perceived Authenticity in Cultural Heritage Tourism

This paper examines the conceptualization of authenticity, which is the central issue of cultural heritage management. A process-focused model of perceived authenticity is proposed, in which performative authenticity is a mediating construct between objective authenticity and existential authenticity. The model is well empirically confirmed by a survey conducted on a cultural landscape, Slender West Lake in Yangzhou, China. By using AMOS 18.0, a confirmatory factor analysis (CFA) and structural equation modeling (SEM) were performed to prove it. The results indicate that objective authenticity has a significantly positive impact on existential authenticity, and through performative authenticity in between, the significance is greatly enhanced. Further discussion about theoretical, managerial implications, and future research are put forward, which may be beneficial for the sustainable management of cultural heritage tourism.
$H_{\infty }$-Based Nonlinear Observer Design for State of Charge Estimation of Lithium-Ion Battery With Polynomial Parameters

This paper focuses on the state-of-charge (SOC) estimation of the Lithium-ion battery in electric vehicles based on an <inline-formula><tex-math notation="LaTeX">$H_{\infty }$</tex-math></inline-formula>-based nonlinear observer. First, the second-order <italic>RC</italic> equivalent circuit model is introduced by utilizing the physical behavior of the battery. Then, the parameters in the second-order <italic>RC</italic> model are identified as polynomial functions with respect to SOC. Meanwhile, the battery model with constant parameters is also introduced for comparison. Due to that the battery model is undetectable, an one-sided Lipschitz condition is proposed to ensure that the nonlinear function in output equation can play a positive role in the observer design. After that, a nonlinear observer design criterion is presented based on the <inline-formula><tex-math notation="LaTeX">$H_{\infty }$</tex-math> </inline-formula> method, which is formulated as linear matrix inequalities. Compared with existing nonlinear observer-based SOC estimation methods, the proposed observer design criterion does not depend on any estimates of the unknown variables. Consequently, the convergence of the proposed nonlinear observer is guaranteed for various operating conditions. Finally, one static and three dynamic operation conditions are given to show the efficiency of the proposed nonlinear observer by comparing with the classic extended Kalman filter and the nonlinear observer for constant parameters.
Data, Numbers and Accountability: The Complexity, Nature and Effects of Data use in Schools

ABSTRACT This article draws upon research in one school in Queensland, Australia, to explore how the push to data influences teacher work and subsequent student learning. This ‘rise of data’, often oriented towards ‘external’ and performative processes of accountability, exhibits itself in many ways, but is particularly evident in teachers’ engagement with various forms of regionally and centrally sanctioned, and often standardized, measures of attainment, typically expressed in numbers. Drawing upon the sociology of numbers, and Pierre Bourdieu’s concepts of ‘field’, ‘habitus’ and ‘capital’, the research shows how the emphasis upon data collection reveals a ‘field of schooling practices’ characterized by concerns about collecting, analysing and improving numeric data; standardized and centrally sanctioned data as forms of capital of increasing value; and a teaching disposition/habitus characterized by constant monitoring of student performance through virtual and physical data bases. The research reveals how the ‘logics’ of schooling may be in danger of being dominated by more centralized, standardized forms of numeric data for performative accountability purposes, even as more educative logics are evident.
Hybrid Trust-Aware Model for Personalized Top-N Recommendation

Due to the large quantity and diversity of content being easily available to users, recommender systems (RS) have become an integral part of nearly every online system. They allow users to resolve the information overload problem by proactively generating high-quality personalized recommendations. Trust metrics help leverage preferences of similar users and have led to improved predictive accuracy which is why they have become an important consideration in the design of RSs. We argue that there are additional aspects of trust as a human notion, that can be integrated with collaborative filtering techniques to suggest to users items that they might like. In this paper, we present an approach for the top-N recommendation task that computes prediction scores for items as a user specific combination of global and local trust models to capture differences in preferences. Our experiments show that the proposed method improves upon the standard trust model and outperforms competing top-N recommendation approaches on real world data by upto 19%.
Behavioral model and experimental validation for spool-packaged shape memory alloy linear actuators

Shape memory alloy actuators are attractive for many industries because of their high energy density and moderate strokes and forces, which can enable low cost, light weight, high performance devices. SMA wire actuators are particularly advantageous because of their simple form, well-developed manufacturing and quality control, actuation with simple electrical circuits, and faster heating and cooling rates. Unfortunately, packaging the long lengths of SMA wire needed to produce required deflections in many applications is an ongoing technical challenge. This paper investigates spooling as a packaging approach to provide more compact actuator footprints and explores the accompanying design tradeoff between packaging and performance. A predictive analytical model is derived that relates the linear output motion to key design parameters (geometric and frictional properties, SMA material properties, and externally applied loads) within model limits originating from binding due to accumulation of friction across the spool. An experimental study is presented which exercises the model with respect to applied load, wrap angle and spool position within the actuator system, and the results correlate well with the model prediction in both form and magnitude. The study provides insight into the impact of key design parameters and exposes the design tradeoff between the packaging approach and performance losses. Based on the resulting spooling model, actuators can be designed with minimized losses and improved packaging footprints, positioning SMA wire actuators as a viable alternative to conventional industrial actuators.
BLAST Application with Data-Aware Desktop Grid Middleware

There exists numerous Grid middleware to develop and execute programs on the computational Grid, but they still require intensive work from their users. BitDew is made to facilitate the usage of large scale Grid with dynamic, heterogeneous, volatile and highly distributed computing resources for applications that require a huge amount of data processing. Data-intensive applications form an important class of applications for the e-Science community which require secure and coordinated access to large datasets, wide-area transfers and broad distribution ofTeraBytes of data while keeping track of multiple data replicas. In genetic biology, gene sequences comparison and analysis are the most basic routines. With the considerable increase of sequences to analyze, we need more and more computing power as well as efficient solution to manage data. In this work, we investigate the advantages of using a new Desktop Grid middleware BitDew, designed for large scale data management.Our contribution is two-fold: firstly, we introduce a data-driven Master/Slave programming model and we present an implementation of BLAST over BitDew following this model, secondly, we present extensive experimental and simulation results which demonstrate the effectiveness and scalability of our approach. We evaluate the benefit of multi-protocol data distribution to achieve remarkable speedups, we report on the ability to cope with highly volatile environment with relative performance degradation, we show the benefit of data replication in Grid with heterogeneous resource performance and we evaluate the combination of data fault tolerance and data replication when computing on volatileresources.
Invasion of human coronary artery endothelial cells by Streptococcus mutans OMZ175.

INTRODUCTION Dissemination of oral bacteria into the bloodstream has been associated with eating, oral hygiene, and dental procedures; including tooth extraction, endodontic treatment, and periodontal surgery. Recently, studies identified Streptococcus mutans, the primary etiological agent of dental caries, as the most prevalent bacterial species found in clinical samples from patients who underwent heart valve and atheromatous plaque surgery. METHODS By using antibiotic protection assays, we tested the capacity of 14 strains of S. mutans to invade primary human coronary artery endothelial cells (HCAEC). RESULTS Serotype e strain B14 and serotype f strain OMZ175 of S. mutans were able to efficiently invade HCAEC. Among the tested strains, serotype f S. mutans OMZ175 was the most invasive, whereas strains of serotype c S. mutans, the most prevalent serotype in dental plaque, were not invasive. Based on its high invasion rate, we further investigated the invasive properties of serotype f OMZ175. Using transmission electron microscopy and antibiotic protection assays we demonstrate that S. mutans OMZ175 is capable of attaching to the HCAEC surface, entering the cells and surviving in HCAEC for at least 29 h. DISCUSSION Our findings highlight a potential role for S. mutans in the pathogenesis of certain cardiovascular diseases.
Dynamic cluster head selection in wireless sensor network for Internet of Things applications

Internet of things (IoT) integrate the technologies such as sensing, communication, networking and cloud computing in wide range monitoring zone. For applications of IoT, the most appropriate monitoring network is wireless sensor networks (WSN). It is most important to develop energy efficient cluster head (CH) selection scheme to increase the network lifetime of WSNs. It is most crucial to save the energy of these sensor nodes to avoid quick battery drain. In this work, a dynamic CH selection method (DCHSM) is proposed to extend the network lifetime of the systems developed for IoT applications. At first the concept of Voronoi diagram is utilized to divide the large scale monitoring area into small clusters in order to ensure maximum coverage and then the CH is selected in two stages. The first stage of the CH selection is based on perceived probability and the second stage is based on the survival time estimation. Results depicts that the new work performs better than existing algorithms with regard to energy saving and network lifetime for the IoT systems.
Stereoscopic content production of complex dynamic scenes using a wide-baseline monoscopic camera set-up

Conventional stereoscopic video content production requires use of dedicated stereo camera rigs which is both costly and lacking video editing flexibility. In this paper, we propose a novel approach which only requires a small number of standard cameras sparsely located around a scene to automatically convert the monocular inputs into stereoscopic streams. The approach combines a probabilistic spatio-temporal segmentation framework with a state-of-the-art multi-view graph-cut reconstruction algorithm, thus providing full control of the stereoscopic settings at render time. Results with studio sequences of complex human motion demonstrate the suitability of the method for high quality stereoscopic content generation with minimum user interaction.
Treating obsessions with Competitive Memory Training: A pilot study.

Since the 1980s, in vivo exposure combined with response prevention (ERP) has been considered the psychological intervention of choice in the treatment of obsessive-compulsive disorder (OCD). Exposing patients to their feared stimuli while preventing them from performing neutralizing rituals not only reduces the compulsive behaviors of the patient, but also the frequency and emotional impact of accompanying obsessions (Emmelkamp, Van Oppen, & Van Balkom, 2002). In OCD, “normal” cognitive intrusions, which are occasionally experienced by everybody, develop into pathological obsessions because OCD patients catastrophically misinterpret the personal meaning of these intrusive thoughts and, hence, become anxious (Salkovskis, 1985). Anxiousness and dysfunctional attempts to neutralize anxiety-provoking intrusions broaden the range of potentially dangerous stimuli and increase the number of intrusive thoughts (Rachman, 1997, 1998). While earlier cognitive interventions such as Meichenbaum’s SelfInstruction Training (Emmelkamp et al., 1980) and Ellis’ Rational Emotive Therapy (Emmelkamp & Beens, 1991; Emmelkamp, Visser, & Hoekstra, 1988) did not enhance the effectiveness of ERP, recent theorizing in OCD has stimulated the development of new cognitive interventions. These interventions have been apComing directly to your mailbox soon— your ABCT membership card!
Skating to where the puck will be: the importance of neuroimaging literacy in child psychiatry.

Asked to explain the secret to his success, the preeminent hockey player Wayne Gretzky asserted that he skated to where the puck would be, rather than to where it was. If Bthe puck[ in this instance is pathophysiological knowledge about pediatric psychiatric illnesses, then Bskating to where the puck will be[ leads us directly to the brain. Of note, this focus on the brain does not obviate an equally strong focus on the environment: data suggest that associations between environmental influences and risk for psychopathology reflect the impact of such influences on brain development. 1 Thus, if child and adolescent psychiatrists are to approach patient care with state-of-the-art knowledge about psychopathology, it is important that they be knowledgeable about brain structure and function. To do that, they must be educated consumers of the emerging neuroimaging literature. Why is neuroimaging literacy important for practicing psychiatrists? Put another way, how are neuroimaging techniques moving the field forward? As noted by several authors in this issue, such techniques make it possible to link the study of behavior, psychiatrists’ stock-in-trade, with studies of the brain. As brainYbehavior connections are elucidated, new treatment approaches can be developed because both pharmacological and psychotherapeutic interventions can potentially target any one of a number of links in the brainYbehavior chain. In addition, each one of these brainYbehavior Blinks[ is a potential biomarker that, sometimes in combination with genetic markers, might facilitate diagnosis, index risk, and/or be used to monitor treatment response. Finally, in some instances, as for example in anxiety disorders, human neuroimaging studies build on a wealth of data in animal models delineating relevant neural circuitry, making it possible for psychiatric practice to be advanced by the recent revolution in neuroscience. Examples of each of these applications of neuroimaging techniques can be found in this issue of the Journal. Clearly, neuroimaging is playing an increasingly central role in psychiatric research. Nonetheless, it is important to emphasize that these are early days: the brain and brain illnesses are remarkably complex, our corpus of neuroimaging data is still limited, and the technology, although developing rapidly, is still relatively new. It will be years, if not decades, before neuroimaging can contribute meaningfully to the diagnostic process; even when it does, neuroimaging will be used as a complement to, not a substitute for, expert clinical assessment. Although diagnostic applications of imaging may be years away, we will highlight below areas where neuroimaging already has provided clues regarding promising new treatment approaches. Thus, it is clear where the puck is headed and clear that neuroimaging will play an important role in researchVresearch that will ultimately affect practiceVfor years to come.
The European Sleep Apnoea Database (ESADA): report from 22 European sleep laboratories

The European Sleep Apnoea Database (ESADA) reflects a network of 22 sleep disorder centres in Europe enabled by a COST action B26 programme. This ongoing project aims to describe differences in standard clinical care of patients with obstructive sleep apnoea (OSA) and to establish a resource for genetic research in this disorder. Patients with suspected OSA are consecutively included and followed up according to local clinical standards. Anthropometrics, medical history, medication, daytime symptoms and sleep data (polysomnography or cardiorespiratory polygraphy) are recorded in a structured web-based report form. 5,103 patients (1,426 females, mean±sd age 51.8±12.6 yrs, 79.4% with apnoea/hypopnoea index (AHI) ≥5 events·h−1) were included from March 15, 2007 to August 1, 2009. Morbid obesity (body mass index ≥35 kg·m−2) was present in 21.1% of males and 28.6% of females. Cardiovascular, metabolic and pulmonary comorbidities were frequent (49.1%, 32.9% and 14.2%, respectively). Patients investigated with a polygraphic method had a lower AHI than those undergoing polysomnography (23.2±23.5 versus 29.1±26.3 events·h−1, p<0.0001). The ESADA is a rapidly growing multicentre patient cohort that enables unique outcome research opportunities and genotyping. The first cross-sectional analysis reveals a high prevalence of cardiovascular and metabolic morbidity in patients investigated for OSA.
Life as a Robot (at CHI): Challenges, Benefits, and Prospects for Attending Conferences via Telepresence

In an ideal world, children and adults could travel anywhere as easily as they travel to work or school. Geography has stood in the way of this, until now. This paper's authors, a design team of adults and children, discuss their experiences inhabiting a telepresence robot at CHI from ~2500 miles away through six vignettes detailing their experiences. This paper also describes results from two design sessions focused on improving telepresence conference experiences. We reflect on what these experiences and outcomes mean for CHI and telepresence more broadly. This alt.chi work will be presented via telepresence.
Evolution in the light of developmental and cell biology, and vice versa.

Some of the oldest controversies in evolutionary biology stem from disagreement over the origins of adaptive design. Should design be attributed to selection, as Darwin (2) argued, or to development as maintained by Bateson (3)? Gradualism played a crucial role in Darwin’s argument because it showed the power of selection to mold complex traits from small variations. The large variants sometimes produced by development, on the other hand, invite explanation of adaptive form in terms of accident or divine creation. Darwin was uncompromising on this point and cleverly explained developmentally mediated heterochrony as involving complex traits first established by gradual change in ancestral juveniles or adults (2, p. 138).
Slow but certain wins the race: authenticated bundle communication in delay tolerant networks

We present SEGURA, a Bundle layer security extension for ensuring the authenticity and integrity of message bundles in Delay Tolerant Networks (DTNs). SEGURA employs probabilistic set membership constructs to amortize the cryptographic functionality of traditional authentication mechanisms such as Message Authentication Codes, Hash trees, authentication graphs, and digital signatures in relatively small sized data structures. Using probabilistic set membership constructs in the integrity verification process eliminates any form of dependency among individual network packets which gives the security protocol the capability of handling out of order packets and enduring high packet loss rates. This makes SEGURA a very suitable choice for operation in performance-challenged DTNs with highly disruptive natures featuring excessive disconnection rates, massive delays, and intermittent communication. Moreover, the SEGURA integrity enforcement mechanism gives intermediate DTN routers and gateways the ability to verify the integrity of bundles without employing expensive public-key operations. The goal here is to isolate the effects of any malicious attack as close as possible to the source of the attack. This results in the reduction of bogus network traffic and hence contributes to a major decrease in the messaging delay caused by distant packet retransmission.