Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploiting Schedule Slacks for Rate-Optimal Power-Minimum Software Pipelining

Increasing power consumption in high performance processors and the proliferation of embedded systems demand new compiler techniques geared toward both high performance and low power. Software pipelining, an effective compiler optimization to exploit instruction level parallelism across loop iterations, has been studied extensively. However, previous software pipelining meth-ods focus on performance only. This paper presents a software pipelining method that reduces power consumption while keeping performance optimality. This is accomplished as schedule slacks exist for non-critical instructions even in performance optimal schedules, and by exploiting the slack appropriately, it may be possible to reduce the number of functional units used in the schedule. This paper formulates the problem of minimizing power consumption in software pipelined loops as an integer linear programming (ILP) problem and experimented this approach in a re-engineered MIPSpro compiler. By executing the program generated by the re-engineered compiler on Wattch power simulator, we observe that our approach can reduce dynamic energy consumption of a set of kernels from SPEC benchmarks by up to 15.4% (8.5% on an average) in comparison with the existing scheduler of MIPSpro compiler, which strive only for high performance. The proposed approach is also helpful to reduce leakage power. With a leakage power reduction mechanism which applies power supply gating whenever possible, schedules generated by our approach consume up to 54.5% (or 31.8% on an average) less leakage power
Insights From the National Diabetes Education Program National Diabetes Survey: Opportunities for Diabetes Self-Management Education and Support

IN BRIEF Diabetes self-management education and support (DSMES) provides the foundation to help people with diabetes (PWD) navigate the numerous self-management decisions and complex care activities they face daily and has been shown to improve outcomes. Without DSMES, PWD often lack the skills and knowledge necessary to handle the demands of managing this chronic disease. Understanding self-management behaviors and responses to DSMES is essential for improving DSMES processes and diabetes outcomes. This article provides the most recent findings from questions regarding self-management behaviors and DSMES practices obtained through the National Diabetes Education Program National Diabetes Survey. Insights and gaps in self-management behaviors and DSMES delivery are examined to identify challenges and offer opportunities for improvement.
THE EFFECT OF STRING TENSION ON SHUTTLECOCK VELOCITY

Badminton players currently lack of knowledge and understanding about the effect of tension on hitting performance. This study aimed to investigate the effect of string tension on shuttlecock velocity. The experiments were performed by stringing 5 racquets with automatic machine and assigned pull tension at 22, 24, 26, 28 and 30 lbs/ft2, respectively. The racquets were set up in the system with motor speed adjusted at 450 rpm. Then, each racquet was conducted to hit 10 times and capture with 2 high speed cameras at 2,000 frame/sec. Five screenings were made as to search a perfect hitting to analyze shuttlecock speed. The statistic comparison uses one way-ANOVA and repeated measure. The result shows that shuttlecock velocity depends on string tension, that is, lower tension generates more shuttlecock velocity than high tension (22>24>26>28>30). Therefore, badminton players should be have an understanding and modify their stringing behavior to suit each individual.
Performance analysis of scheduling disciplines in hardware

Due to the availability of high bandwidth resulting from high capacity links, the packets can be transmitted through the link at great speeds. Therefore, the switch has to be fast enough to be able to switch packets from several incoming links into one outgoing link at a speed that matches the available link speed. The recent developments in the ASIC design have led to the hardware realization of certain scheduling algorithms (J.C.R. Bennett et al, Proc. IEEE/ICNP, pp. 7-14, 1997). These implementations try to reduce the complexity involved in realizing the algorithms in hardware so that they can be used in high-speed networks without causing considerable delay to the packets traveling through the switch. WFQ is one of the earliest scheduling algorithms proposed to approximate GPS, which is an idealized scheduling algorithm. WF/sup 2/Q+ is an improvement over WFQ which more closely approximates GPS and is less complex to implement (when compared with WFQ). It has been shown that WF/sup 2/Q+ does not always outperform WFQ for real-time sources (P. Vellore and R. Venkatesan, IEEE Newfoundland Electrical and Computer Eng. Conf., 2002). In this paper, we show the hardware implementation of both WFQ and WF/sup 2/Q+ and estimate the differences in the complexities involved in implementing the two algorithms in hardware.
Living with Internet of Things: The Emergence of Embedded Intelligence

With the development of sensing, wireless communication, and Internet technologies, we are now living in a world that is filled with various smart things ¨C the Internet of Things. This paper introduces and prospects an emerging research area ¨C Embedded Intelligence (EI), which aims at revealing the individual behaviors, spatial contexts, as well as social patterns and urban dynamics by mining the digital traces left by people while interacting with Internet of Smart Things. The paper discusses the research history, characteristics, general architecture, major applications, and research issues of EI.
The Evolution of the MBH-σ Relation

We examine the evolution of the black hole mass-stellar velocity dispersion (MBH-σ) relation over cosmic time, using simulations of galaxy mergers that include feedback from supermassive black hole growth. For a range in redshifts z = 0-6, we modify the virial mass, gas fraction, interstellar medium equation of state, surface mass density, and concentration of dark matter halos of the merger progenitors to match those expected at various cosmic times. We find that the slope of the MBH-σ relation is insensitive to the redshift-dependent properties of merger progenitors and should be roughly constant at redshifts z = 0-6. For the same feedback efficiency that reproduces the observed amplitude of the MBH-σ relation at z = 0, there is a weak redshift dependence to the normalization, corresponding to an evolution in the Faber-Jackson relation, which results from an increasing velocity dispersion for a given galactic stellar mass. We develop a formalism to connect redshift evolution in the MBH-σ relation to the scatter in the local relation at z = 0. For an assumed model for the accumulation of black holes with different masses over cosmic time, we show that the scatter in the local relation places severe constraints on the redshift evolution of both the normalization and slope of the MBH-σ relation. Furthermore, we demonstrate that the cosmic downsizing of the black hole population introduces a black hole mass-dependent dispersion in the MBH-σ relation and that the skewness of the distribution about the locally observed MBH-σ relation is sensitive to redshift evolution in the normalization and slope. In agreement with existing constraints, our simulations imply that hierarchical structure formation should produce the relation with small intrinsic scatter, as the physical origin of the MBH-σ enjoys a remarkable resiliency to the redshift-dependent properties of merger progenitors.
Affective Dimensions of Participatory Design Research in Informal Learning Environments: Placemaking, Belonging, and Correspondence

ABSTRACT This article argues that current approaches to participatory design research (PDR) risk eliding the affective life of making educational change by locating change in cultural mediation alone. Locating change only in mediation subordinates affect, potentially overlooking lived dimensions of learning and being essential to lasting, transformative change. Suggesting a pathway to recovering affect in PDR, the article critiques affect's occlusion in theories framing PDR and develops concepts of placemaking and belonging as affective dimensions essential to generating and sustaining change, especially in informal learning environments. Analytic snapshots illustrate these developed concepts, evincing how teenagers actively affect place and belonging over time in an informal digital media and learning program, Metro Building Blocks. The article concludes calling for developed theories of correspondence in order to better attune method to understanding how bodies generate feelings of belonging and to how bodies actively maintain this sense of belonging through emergent, affective practice.
ARTM: A lightweight fork-join framework for many-core embedded systems

Embedded architectures are moving to multi-core and many-core concepts in order to sustain ever growing computing requirements within complexity and power budgets. Programming many-core architectures not only needs parallel programming skills, but also efficient exploitation of fine grain parallelism at both architecture and runtime levels. Scheduler reactivity is however increasingly important as tasks granularity is reduced, in order to keep the overhead of the scheduling to a minimum. This paper presents a lightweight fork-join framework for scheduling fine grain parallel tasks on embedded many-core systems. The asynchronous nature of the fork-join model used in this framework permits to dramatically decrease its scheduling overhead. Experimentation conducted in this paper show that the overhead induced by this framework is of 33 cycles per scheduled task. Also, we show that near-ideal speedup can be obtained by the ARTM framework for data parallel applications and that ARTM achieves better results than other state of the art parallelization techniques.
Accuracy of Quantitative Positron Emission Tomography Assessment for Differentiating Cerebral Age-related from Pathological Amyloid Deposition: A Preliminary Report from a Case-series Study

Previous observational studies using old qualitative methods have not clarified the role of amyloid positron emission tomography (PET) in the assessment of dementia. Given the moderately positive predictive value, the presence of amyloid deposition does not necessarily imply the diagnosis of dementia. Conversely, the absence of amyloid PET deposition has been shown to be useful in excluding the neurodegenerative pathology, irrespective of the aging process. We describe the clinical application of new innovative software recently developed to increase the sensitivity of this technique and to discriminate pathological deposition of cerebral amyloid from the age-related changes, reporting preliminary findings from a case-series study. In three different clinical profiles, we underline the need of integrating neuropsychological assessment and findings with this new PET scan and software that provide quantitative information of the cerebral amyloid and may increase the probability of rapid and accurate assessment of Alzheimer's disease. Although this amyloid quantification is promising, these preliminary results should be confirmed in future prospective studies with adequate sample size.
Definition of geohazards in exploration 3-D seismic data using attributes and neural-network analysis

During a geohazards evaluation of an area in deep-water Green Canyon, using standard exploration three-dimensional (3-D) seismic data, different features of significance to drilling operations and the planning of seabed installations were observed. These features were indications of seabed slope instability, shallow gas accumulations in a channel deposit, gas chimneys, faults, and a seabed mound above a gas chimney. Edge-detection maps were used to highlight slope-failure scars, faults, the channel, and the seabed mound. Average absolute-amplitude maps were used to highlight slope-failure scars, faults, and possible shallow gas accumulations. Possible gas chimneys were mapped to identify fluid-migration pathways. The mapping of chimneys was done by the use of a recently developed method for detection of gas chimneys in 3-D seismic data. The method was developed to facilitate and increase the consistency in the mapping, as well as make gas chimneys visible in the map view. The results of the geohazards assessment were identification of a seabed slope-failure risk and a risk of overpressured gas in channel deposits.
Software Reliability Growth Models: Overview and Applications

A software reliability growth model is one of the fundamental techniques used to assess software reliability quantitatively. The software reliability growth model is required to have a good performance in terms of goodness-of-fit, predictability, and so forth. A number of analytical models have been proposed during the past three decades for assessing the reliability of the software system. In this paper we will summarize some existing Software Reliability Growth Models (SRGMs), provide a critical analysis of the underlying assumptions, and assess the applicability of these models during the software development cycle using an example.
Performer Identification in Celtic Violin Recordings

We present an approach to the task of identifying performers from their playing styles. We investigate how violinists express and communicate their view of the musical content of Celtic popular pieces and how to use this information in order to automatically identify performers. We study notelevel deviations of parameters such as timing and amplitude. Our approach to performer identification consists of inducing an expressive performance model for each of the interpreters (essentially establishing a performer dependent mapping of inter-note features to a timing and amplitude expressive transformations). We present a successful performer identification case study.
The Syntax of Valuation and the Interpretability of Features

In this paper, we will present a particular proposal about the nature of agreement processes and the syntax of its output. Our proposal builds on current work, but departs from existing research in a number of ways. We hope to demonstrate that our proposals not only advance the overall understanding of agreement, but also contribute to a clearer and simpler view of a number of specific syntactic phenomena. At the heart of our proposal is a conception of agreement that draws on various traditions that view it as "feature sharing". We combine this conception with a proposal that valuation and interpretability of features are independent concepts. These ideas taken together allow us to revise existing analyses of a number of syntactic constructions. In particular, we will focus on the role of verbal tense morphology in specifying other properties of a sentence, and the comparable role played by wh-morphology in specifying clause type. Particular attention will be devoted to the syntax of raising constructions and to an analysis of sentential subjects that improves on earlier work of our own.
It takes time: Building relationships and understanding through an intergenerational ballet programme

Individuals living in long-term residential care homes are often viewed through a negative lens. These residents have increasingly complex care needs, and their functional, communication and cognitive challenges can support conceptualizations of difference and disability perpetuating negative stereotypes of age and dementia. However, engaging in meaningful activities and relationships with older adults, including those with dementia, has been shown to promote positive attitudes. Specifically, intergenerational programming that provides opportunities for meaningful engagement between children and older adults has been shown to support positive emotional experiences through socializing and building relationships. This qualitative study explored the development of relationships between school-aged children and older adults with dementia living in a long-term residential care home. Residents in long-term care homes and children typically have limited opportunities to interact with each other; in this study, participating in an intergenerational dance programme provided an opportunity for meaningful relationships to develop. This paper focuses on the development of the children’s attitudes and understandings of their much older dance partners. Seven girls between the ages of seven and nine participated in ballet classes with residents in a long-term care home for one hour each week over a six-month period. All of the residents had a diagnosis of moderate to advanced dementia. Further, all of the residents also had other chronic health issues such as cardiac, respiratory and/or neurological diseases. The children were interviewed at the baseline, three- and six-month intervals. Prior to beginning the dance programme, the children anticipated their dance partners to be unwell and unable. However, by the end of six months, the children described the residents much more positively highlighting their abilities and strengths. Over time, through participating in a structured intergenerational programme, the children’s views of disability and difference disappeared as they formed dance partnerships and developed meaningful relationships.
Design and Implementation of a Privacy Aware Framework for Sharing Electronic Health Records

Prevalent EHRs (Electronic Health Records) present an opportunity to provide a safer, efficient and patient-centered care environment, but this may also cause the disclosure of patient privacy information without the patient authorization, in particular, when sharing of EHRs across healthcare providers or hospitals. Although, IHE (Integrating the Healthcare Enterprise) provides a widely used EHRs integrating and sharing profile (Cross-Enterprise Document Sharing, XDS.b profile) and a patient privacy protecting profile (Basic Patient Privacy Consents, BPPC profile), there are still a small number of implementation cases that demonstrate the efficiency of using these two profiles for protection of patients' privacy while exchange or sharing of their EHRs in an affinity domain. In this research, we developed a patient privacy aware framework to achieve EHRs interoperability based on these XDS.b and BPPC profiles. In this framework, each EHR is classified with a privacy level based on its sensitivity. For each EHR category, a patient specifies the roles that can access that EHR category, i.e., The privacy policies, in the patient's consent form. We then set up a centralized patient privacy matrix to represent the patient's privacy policies for access control management during sharing of his/her EHRs in an affinity domain. As such, patients can benefit from the sharing of EHRs across hospitals while their privacy is guaranteed by the specified consent policies.
A Stream Clustering Algorithm using Information Theoretic Clustering Evaluation Function

There are many stream clustering algorithms that can be divided roughly into density based algorithms and hyper spherical distance based algorithms. Only density based algorithms can detect nonlinear clusters and all algorithms assume that the data stream is an ordered sequence of points. Many algorithms need to receive data in buckets to start processing with online and offline iterations with several passes over the data. In this paper we propose a streaming clustering algorithm using a distance function which can separate highly nonlinear clusters in one pass. The distance function used is based on information theoretic measures and it is called Clustering Evaluation Function. The algorithm can handle data one point at a time and find the correct number of clusters even with highly nonlinear clusters. The data points can arrive in any random order and the number of clusters does not need to be specified. Each point is compared against already discovered clusters and each time clusters are joined or divided using an iteratively updated threshold.
Time-Temperature Superposition of Structural Relaxation in a Viscous Metallic Liquid

Bulk metallic glass-forming Pd40Ni10Cu30P20 has been investigated in its equilibrium liquid by quasielastic neutron scattering. The quasielastic signal exhibits a structural relaxation as known from nonmetallic viscous liquids. Even well above the melting point, the structural relaxation is nonexponential and obeys a universal time-temperature superposition. From the mean relaxation times average diffusivities have been determined, resulting in values on a 10^-10 m^2 s^-1 scale, 3 orders of magnitude slower than in simple metallic liquids.
A least squares approach to the design of frequency invariant beamformers

A least squares formulation for the design of frequency invariant beamformers (FIBs) is proposed with two solutions provided. One is based on the Lagrange multipliers method and the other one is based on an orthogonal decomposition of the coefficient vector to transform the constrained design problem into an unconstrained one. Design examples including both broadside and off-broadside main beams are provided with satisfactory frequency invariant property and sidelobe attenuation.
A Collaborative Filtering Recommender System Model Using OWA and Uninorm Aggregation Operators

Recommender systems have played a prominent role in online platforms over the last decade. These systems have been incorporated into applications ranging from e-commerce to leisure, successfully enhancing user experience. Moreover, recommender systems are now being applied to a wider diversity of emerging context applications on the Internet including social media and online platforms for communities. In this study, we present a novel collaborative filtering recommender system model. This model differentiates from other recommender system models in that it utilizes two aggregation operators, namely OWA and uninorm, to compute similarity degrees between users. We demonstrate the application of the proposed model by integrating it in the HARMONISE platform for communities in the Urban Resilience domain. The application example illustrates how the proposed model of collaborative filtering recommender system can predict content of interest to users in the platform, based not only on user preferences but also on features of their user profile.
Enhancement of sensitivity and birefringence of a gas sensor on micro-core based photonic crystal fiber

This paper proposed a microstructure cored photonic crystal fiber for gas sensing applications. The key research vision is to identify hazardous and colorless gases over a larger range of wavelength band covering 1 μm to 2.2 μm. Numerical simulation on the proposed PCF is carried out by full vectorial finite element method (FEM) with perfectly matched layer. The proposed PCF core contains vertically arranged elliptical holes which enhances both relative sensitivity and birefringence. The analysis depicts that the proposed PCF shows high sensitivity of 43.7%, high birefringence of 8.62×10−3 and low confinement loss of 1.89×10−6 dB/m at the wavelength of 1.33 μm. The structural geometric parameters have tuned to optimize the parameters of proposed PCF.
Dynamic harmonic balance and its application to analysis of convergence of second-order sliding mode control algorithms

The harmonic balance (HB) principle is extended to transient processes and named the dynamic HB. Based on the dynamic HB, first the differential equations for the amplitude and frequency of the self-excited oscillations in the Lure system in the vicinity of the periodic solution are derived. It is then applied to analysis of motions in the vicinity of the origin of the complex plane for systems with second-order sliding mode control algorithms, therefore, describing the process of convergence of state variables in the system. An example is provided.