Miracle-dz/UniFAR-FTUs huggingface dataset:
Gender Identification by Voice K unyu

Gender identification by voice is useful in speech-based recognition systems which employ gender-dependent models. Vogt and André [1] suggested that gender differentiation help improve automatic emotion recognition from speech. Harb and Chen [2] reported that classifying speaker’s gender is an important task in the context of multimedia indexing. Our paper will examine the applicability of standard machine learning techniques to the voice-based gender identification problem.
A new early and automated MRI-based predictor of motor improvement after stroke

Objectives: In this study, we investigated the structural plasticity of the contralesional motor network in ischemic stroke patients using diffusion magnetic resonance imaging (MRI) and explored a model that combines a MRI-based metric of contralesional network integrity and clinical data to predict functional outcome at 6 months after stroke. Methods: MRI and clinical examinations were performed in 12 patients in the acute phase, at 1 and 6 months after stroke. Twelve age- and gender-matched controls underwent 2 MRIs 1 month apart. Structural remodeling after stroke was assessed using diffusion MRI with an automated measurement of generalized fractional anisotropy (GFA), which was calculated along connections between contralesional cortical motor areas. The predictive model of poststroke functional outcome was computed using a linear regression of acute GFA measures and the clinical assessment. Results: GFA changes in the contralesional motor tracts were found in all patients and differed significantly from controls (0.001 ≤ p < 0.05). GFA changes in intrahemispheric and interhemispheric motor tracts correlated with age (p ≤ 0.01); those in intrahemispheric motor tracts correlated strongly with clinical scores and stroke sizes (p ≤ 0.001). GFA measured in the acute phase together with a routine motor score and age were a strong predictor of motor outcome at 6 months (r2 = 0.96, p = 0.0002). Conclusion: These findings represent a proof of principle that contralesional diffusion MRI measures may provide reliable information for personalized rehabilitation planning after ischemic motor stroke. Neurology® 2012;79:39–46
Dynamics of self-similar tilings

This paper investigates dynamical systems arising from the action by translations on the orbit closures of self-similar and self-affine tilings of ${\Bbb R}^d$. The main focus is on spectral properties of such systems which are shown to be uniquely ergodic. We establish criteria for weak mixing and pure discrete spectrum for wide classes of such systems. They are applied to a number of examples which include tilings with polygonal and fractal tile boundaries; systems with pure discrete, continuous and mixed spectrum.
Belief net structure learning from uncertain interventions

We show how to learn causal structure from interventions with unknown effects and/or side effects by adding the intervention variables to the graph and using Bayesian inference to learn the resulting two-layered graph structure. We show that, on a datatset consisting of protein phosphorylation levels measured under various perturbations, learning the targets of intervention results in models that fit the data better than falsely assuming the interventions are perfect. Furthermore, learning the children of the intervention nodes is useful for such tasks as drug and disease target discovery, where we wish to distinguish direct effects from indirect effects. We illustrate the latter by correctly identifying known targets of genetic mutation in various forms of leukemia using microarray expression data.
Comparison of Security Frameworks for Governmental Clouds between United States and European Union

Cloud computing, as an emerging computing model, can provide users with inexpensive, convenient and large scale computing. In the recent years, both government and other organizations have begun to utilize cloud computing, such as the United States and European Union. However, deployment of clouds brings security challenges to consumers. Governmental cloud is a secure and trusted environment for government to deliver services to citizens. With the governmental use of cloud, there are many emerging risks and threats. It is important to focus on cloud security, governmental cloud in particular. United States proposed Security Reference Architecture and Challenging Security Requirements for US Government Cloud Computing Adoption and European Union proposed a security framework for governmental clouds. We introduce cloud computing, governmental cloud and risks related to use of cloud, then analyze the security frameworks of governmental cloud of United States and European Union. Finally, we make comparisons/comments on both frameworks from different perspectives.
Empowering the Principal through Professional Development.

This paper reports on research into the professional development practice of nrincipals in the Diocese of Parramatta, which administers a system of approximately 75 schools in the west of Sydney, Australia. A survey of 46 principals gathered data on respondents' qualifications, association membership, participation in Catholic Education Office professional development activities and in inservices provided by other agencies, conferences attended, other activities contributing to professional development, valued forms of professional development, perceived professional development needs, preferred methods of delivery, and tertiary credit. The data indicated that the principals in the Parramatta diocese are, by and large, an experienced and highly qualified group and in general they participate regularly in professional development activities. The most commonly attended forms of professional development are conferences organized by the principals' association. The most valued professional development activities are those classified as "learning on the job" or involving interpersonal skill development. Female principals, lay principals, and primary principals attended more professional development activities than their male, religious, and secondary counterparts respectively. In light of these results, three major initiatives were developed to address the professional development of principals at three stages: pre-appointment, induction, and ongoing development. (JDD) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** Empowering the Principal through Professional Development Paper presented to the Australian Teacher Education Association Conference Brisbane, July 1994 "PERMISSION TO REPRODUCE THIS MATERIAL HAS SEEN GRANTED BY
in Computer Science and Software Engineering

: Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each phase. This paper aimed at addressing the various methodologies required to be adapted in each phase of brain signal processing. Prior to this survey, previous surveys have been listed various methods, some experimental results and compared them. This paper shows clear and easy interpretation of each method and their advantages and disadvantages including the signal acquisition, signal enhancement, feature extraction and, signal classification.
The multiple effects of amino acids on the early stages of calcium carbonate crystallization

Abstract Proteins have found their way into many of Nature’s structures due to their structural stability, diversity in function and composition, and ability to be regulated as well as be regulators themselves. In this study, we investigate the constitutive amino acids that make up some of these proteins which are involved in CaCO3 mineralization – either in nucleation, crystal growth, or inhibition processes. By assaying all 20 amino acids with vapor diffusion and in situ potentiometric titration, we have found specific amino acids having multiple effects on the early stages of CaCO3 crystallization. These same amino acids have been independently implicated as constituents in liquid-like precursors that form mineralized tissues, processes believed to be key effects of biomineralization proteins in several biological model systems.
Development of A Hierarchical Saving Power System for Campus

Saving power is the major goal in every area either in industry or in campus. However, there are more uncertainties in campus. For instances, the usages of air conditioners in the classroom are irregular events. In the other hand, the lighting in the parking area is the regular event. For the regular event, we use the unstable green energy like wind or solar to save the electric cost. For the irregular event, we use the stable electricity but managed by dynamic power dispatch system to efficiently handle usages of air conditioners in the classroom in order to reduce cost. This dispatch system is the integration of Internet, network, coded radio frequency, database, interfacing technology, and campus administration computerization servers. By using the existing media and devices, the set-up of this system is without extra expensive cost. This hybrid strategy is simulated in a University with about 15000 students and more than 100 classrooms equipped with air conditioners. We can estimate to save more than 10% power than usual.
Issue S in Informing Science and Information Technology towards a Guide for Novice Researchers on Research Methodology: Review and Proposed Methods

The novice researcher, such as the graduate student, can be overwhelmed by the intricacies of the research methods employed in conducting a scholarly inquiry. As both a consumer and producer of research, it is essential to have a firm grasp on just what is entailed in producing legitimate, valid results and conclusions. The very large and growing number of diverse research approaches in current practice exacerbates this problem. The goal of this review is to provide the novice researcher with a starting point in becoming a more informed consumer and producer of research. Toward addressing this goal, a new system for deriving a proposed study type is developed. The PLD model includes the three common drivers for selection of study type: research-worthy problem (P), valid quality peer-reviewed literature (L), and data (D). The discussion includes a review of some common research types and concludes with definitions, discussions, and examples of various fundamentals of research methods such as: a) forming research questions and hypotheses; b) acknowledging assumptions, limitations, and delimitations; and c) establishing reliability and validity.
Regulation of NKT Cell Localization in Homeostasis and Infection

Natural killer T (NKT) cells are a specialized subset of T lymphocytes that regulate immune responses in the context of autoimmunity, cancer, and microbial infection. Lipid antigens derived from bacteria, parasites, and fungi can be presented by CD1d molecules and recognized by the canonical T cell receptors on NKT cells. Alternatively, NKT cells can be activated through recognition of self-lipids and/or pro-inflammatory cytokines generated during infection. Unlike conventional T cells, only a small subset of NKT cells traffic through the lymph nodes under homeostatic conditions, with the largest NKT cell populations localizing to the liver, lungs, spleen, and bone marrow. This is thought to be mediated by differences in chemokine receptor expression profiles. However, the impact of infection on the tissue localization and function of NKT remains largely unstudied. This review focuses on the mechanisms mediating the establishment of peripheral NKT cell populations during homeostasis and how tissue localization of NKT cells is affected during infection.
3 Interaction Modes for Musical Expression : The Instrument as Tool

The dawn of the information and electronics age has had a significant impact on music. Digital music creation has become a popular alternative to playing classical instruments, and in its various forms has taken a place as full-fledged class of instrument in its own right. Research into technological or digital instruments for musical expression is a fascinating field which, among other things, tries to facilitate musicians and to improve the art of musical expression. Such instruments broaden the available forms of musical expression and provide new modes for expression, described by some as a reinvention of the musician's proprioceptive perception (Benthien 2002; Kerckhove 1993). They can make musical expression and musical collaboration more accessible to non-musicians and/or serve as educational tools. Technology can also eliminate the boundaries of space and time in musical collaboration or performance, or enhance it, by providing new channels of interaction between performers or between performer and audience. Furthermore, technology in itself can be a collaborating partner in the form of a creative agent, co-authoring, helping or teaching its user. Finally, Beilharz brings forward the human desire for post-humanism and cyborgism in musical expression as a goal in itself to explore mediating technologies (Beilharz 2011). In this chapter we will survey music technology through various lenses, exploring the qualities of technological instruments as tools, media and agents and investigating the micro-coordination processes that occur in musical collaboration, with the long range goal of creating better technological artifacts for music expression.
Interventions to enhance medication adherence in chronic medical conditions: a systematic review.

BACKGROUND Approximately 20% to 50% of patients are not adherent to medical therapy. This review was performed to summarize, categorize, and estimate the effect size (ES) of interventions to improve medication adherence in chronic medical conditions. METHODS Randomized controlled trials published from January 1967 to September 2004 were eligible if they described 1 or more unconfounded interventions intended to enhance adherence with self-administered medications in the treatment of chronic medical conditions. Trials that reported at least 1 measure of medication adherence and 1 clinical outcome, with at least 80% follow-up during 6 months, were included. Study characteristics and results for adherence and clinical outcomes were extracted. In addition, ES was calculated for each outcome. RESULTS Among 37 eligible trials (including 12 informational, 10 behavioral, and 15 combined informational, behavioral, and/or social investigations), 20 studies reported a significant improvement in at least 1 adherence measure. Adherence increased most consistently with behavioral interventions that reduced dosing demands (3 of 3 studies, large ES [0.89-1.20]) and those involving monitoring and feedback (3 of 4 studies, small to large ES [0.27-0.81]). Adherence also improved in 6 multisession informational trials (small to large ES [0.35-1.13]) and 8 combined interventions (small to large ES [absolute value, 0.43-1.20]). Eleven studies (4 informational, 3 behavioral, and 4 combined) demonstrated improvement in at least 1 clinical outcome, but effects were variable (very small to large ES [0.17-3.41]) and not consistently related to changes in adherence. CONCLUSION Several types of interventions are effective in improving medication adherence in chronic medical conditions, but few significantly affected clinical outcomes.
Recommender system for drivers of electric vehicles

Being the next big step in automobile industry, electric vehicles continue to have limited autonomy which associated with the long charging times, limited charging stations and undeveloped smart grid infrastructure demands for a hard planning of the daily use of the vehicle. This paper presents an information system that will help the driver in the daily use of his electric vehicle, minimizing the problem of range anxiety thru the continuous control of the vehicle range and presenting in time relevant information about the charging stations within reach. Given the success of recommendation systems on automatically delivering the relevant information in numerous areas of usage, it can be applied in this scenario as well as with the objective of maximizing the relevance of the information presented to the driver, which should be the strictly needed for him to make his decisions filtering out the unnecessary one.
Discovery of the Dust-Enshrouded Progenitor of the Type IIn SN 2008S with Spitzer

We report the discovery of the progenitor of the recent type IIn supernova 2008S in the nearby galaxy NGC 6946. Surprisingly, the progenitor was not found in deep, pre-supernova optical images of its host galaxy taken with the Large Binocular Telescope, but only through examination of archival Spitzer mid-IR data. A source coincident with the supernova position is clearly detected in the 4.5, 5.8, and 8.0 μm IRAC bands, showing no evident variability in a three-year light curve leading up to the explosion, yet undetected at 3.6 and 24 μm. The distinct presence of ∼ 440 K dust, along with stringent LBT limits on the optical fluxes, suggests that the progenitor of SN 2008S died in a shroud of its own dust. The inferred luminosity of ≈ 3.5 × 10 L⊙ implies a modest progenitor mass of ∼ 10 M⊙. We conclude that type IIn supernovae need not always result from the death of very massive η Carinae-like objects. Subject headings: supernovae:general–surveys:stars–evolution
Methods enabling interactive customization of fabricable objects by non-professionals

This thesis addresses the problem of allowing casual users to customize the design of 3D printable objects while maintaining their validity. This work defines Fab Form as a representation formalizing the requirements for such designs: 1) the user should have a small number of intuitive parameters that allow customization; 2) the designs should maintain their valid state as 3D printable objects; and 3) the customization process should be interactive. To achieve these, my solution separates Fab Form evaluation into a precomputation stage and a runtime stage. Parts of the geometry and design validity (such as manufacturability) are evaluated and stored in the precomputation stage by adaptively sampling the design space. At runtime the remainder of the evaluation is performed. This allows interactive navigation in the valid regions of the design space using an automatically generated Web user interface. This approach is evaluated by converting several parametric models into corresponding Fab Forms. Thesis Supervisor: Wojciech Matusik Title: Associate Professor
Subcellular compartmentalization of adeno-associated virus type 2 assembly

Using immunofluorescence and in situ hybridization techniques, we studied the intracellular localization of adeno-associated virus type 2 (AAV-2) Rep proteins, VP proteins, and DNA during the course of an AAV-2/adenovirus type 2 coinfection. In an early stage, the Rep proteins showed a punctate distribution pattern over the nuclei of infected cells, reminiscent of replication foci. At this stage, no capsid proteins were detectable. At later stages, the Rep proteins were distributed more homogeneously over the nuclear interior and finally became redistributed into clusters slightly enriched at the nuclear periphery. During an intermediate stage, they also appeared at an interior part of the nucleolus for a short period, whereas most of the time the nucleoli were Rep negative. AAV-2 DNA colocalized with the Rep proteins. All three capsid proteins were strongly enriched in the nucleolus in a transient stage of infection, when the Rep proteins homogeneously filled the nucleoplasm. Thereafter, they became distributed over the whole nucleus and colocalized in nucleoplasmic clusters with the Rep proteins and AAV-2 DNA. While VP1 and VP2 strongly accumulated in the nucleus, VP3 was almost equally distributed between the nucleus and cytoplasm. Capsids, visualized by a conformation-specific antibody, were first detectable in the nucleoli and then spread over the whole nucleoplasm. This suggests that nucleolar components are involved in initiation of capsid assembly whereas DNA packaging occurs in the nucleoplasm. Expression of a transfected full-length AAV-2 genome followed by adenovirus infection showed all stages of an AAV-2/adenovirus coinfection, whereas after expression of the cap gene alone, capsids were restricted to the nucleoli and did not follow the nuclear redistribution observed in the presence of the whole AAV-2 genome. Coexpression of Rep proteins released the restriction of capsids to the nucleolus, suggesting that the Rep proteins are involved in nuclear redistribution of AAV capsids during viral infection. Capsid formation was dependent on the concentration of expressed capsid protein.
UHF RFID Transponder Chip and Antenna Impedance Measurements

The communication performance between reader and transponder in radio frequency identification (RFID) in the ultra high frequency (UHF) range strongly depends on the matching between transponder chip and transponder antenna. To assure power optimization in the forward link the input impedance of the antenna must be the complex conjugate of the chip’s input impedance. In this contribution a measurement method is introduced to determine the transponder chip’s input impedance in absorbing mode versus chip input power. A prematching test setup with impedance tuners assures high measurement accuracy. Additionally, an antenna is presented which is designed to perfectly match the chip. Its input impedance is simulated and measured versus frequency. Finally, the matching between chip and antenna is calculated in terms of a power transmission coefficient.
Coflow: An Application Layer Abstraction for Cluster Networking

Cluster computing applications, whether frameworks like MapReduce and Dryad, or customized applications like search platforms and social networks, have applicationlevel requirements and higher-level abstractions to express them. Networking, however, still remains at the level of forwarding packets and balancing flows, and there exists no networking abstraction that can take advantage of the rich semantics readily available from these data parallel applications. The result is a plethora of seemingly disjoint, yet somehow connected, pieces of work to address networking challenges in these applications. We propose an application layer, data plane abstraction, coflow, that can express the requirements of (data) parallel programming models used in clusters today and makes it easier to express, reason about, and act upon these requirements.
MACOP modular architecture with control primitives

Walking, catching a ball and reaching are all tasks in which humans and animals exhibit advanced motor skills. Findings in biological research concerning motor control suggest a modular control hierarchy which combines movement/motor primitives into complex and natural movements. Engineers inspire their research on these findings in the quest for adaptive and skillful control for robots. In this work we propose a modular architecture with control primitives (MACOP) which uses a set of controllers, where each controller becomes specialized in a subregion of its joint and task-space. Instead of having a single controller being used in this subregion [such as MOSAIC (modular selection and identification for control) on which MACOP is inspired], MACOP relates more to the idea of continuously mixing a limited set of primitive controllers. By enforcing a set of desired properties on the mixing mechanism, a mixture of primitives emerges unsupervised which successfully solves the control task. We evaluate MACOP on a numerical model of a robot arm by training it to generate desired trajectories. We investigate how the tracking performance is affected by the number of controllers in MACOP and examine how the individual controllers and their generated control primitives contribute to solving the task. Furthermore, we show how MACOP compensates for the dynamic effects caused by a fixed control rate and the inertia of the robot.