Miracle-dz/UniFAR-FTUs huggingface dataset:
SPECTRAL INDICES OF CENTIMETER CONTINUUM SOURCES INSTAR-FORMING REGIONS : IMPLICATIONS ON THE NATURE OF THEOUTFLOW EXCITING

We present 6 cm VLA observations of nine regions with molecular or HH outtows, that appear to be driven by young stellar objects of low bolometric luminosity. Radio continuum emission at 3.6 cm had been previously detected toward the center of symmetry of 13 outtows in these regions. With the new 6 cm observations we have been able to estimate the spectral index in the 6 cm to 3.6 cm wavelength range for 11 of these outtow central (Class 0 and Class I) sources. All the spectral indices obtained for these central sources are positive, and consistent with partially thick thermal free-free emission. We discuss this result in relation to the current models for the origin of cm radio continuum emission in outtow sources. In particular, we nd that the observed ux densities of these sources t very well in the observational correlation between the radio continuum luminosity and the momentum rate of the outtow (e. g., Anglada 1996), and that the results are consistent with the central sources being thermal radio jets. Our data suggest that the ionized part of the jets begins at a distance < 10 AU from the star. In addition, we have derived a positive value for the spectral index of the Herbig-Haro object 32A, indicative of partially thick thermal emission. For the remaining sources detected in the nine elds observed, our results indicate that the emission is, in general, non-thermal as expected for background extragalactic sources. However, a few of these sources could be related to the star-forming regions studied.
Subspace Tracking Algorithms for Millimeter Wave MIMO Channel Estimation with Hybrid Beamforming

This paper proposes the use of subspace tracking algorithms for performing MIMO channel estimation at millimeter wave (mmWave) frequencies. Using a subspace approach, we develop a protocol enabling the estimation of the right (resp. left) singular vectors at the transmitter (resp. receiver) side; then, we adapt the projection approximation subspace tracking with deflation (PASTd) and the orthogonal Oja (OOJA) algorithms to our framework and obtain two channel estimation algorithms. The hybrid analog/digital nature of the beamformer is also explicitly taken into account at the algorithm design stage. Numerical results show that the proposed estimation algorithms are effective, and that they perform better than two relevant competing alternatives available in the open literature.
Nonconscious Nudges: Encouraging Sustained Goal Pursuit

A person can use a variety of strategies to sustain the pursuit of a conscious goal (e.g., deliberate on the goal, monitor goal progress, increase goal commitment). However, less is known about how to sustain the pursuit of a nonconscious goal, a reality that is reflected in the common finding that nonconscious goal pursuit typically persists for only one choice episode. This research investigates two factors that help sustain the pursuit of a nonconscious goal: increasing the level of goal activation prior to goal pursuit and limiting the extent of goal deactivation after a goal-consistent behavior. When one of these two factors is present, nonconscious goal pursuit is sustained, as evidenced by a longer sequence of goal-consistent choices. Five studies compare and contrast strategies for sustaining conscious and nonconscious goal pursuit and provide insight into how the goal system manages the pursuit of a nonconscious goal. In addition, the findings inform when a consumer is more or less likely to pursue opposing goals across sequential choices (e.g., being virtuous after being indulgent).
The Keyword Lexicon - An accent-independent lexicon for automatic speech recognition

Recent work at the Centre for Speech Technology Research (CSTR) at the University of Edinburgh has developed an accent-independent lexicon for speech synthesis (the Unisyn project). The main purpose of this lexicon is to avoid the problems and cost of writing a new lexicon for every new accent needed for synthesis. Only recently [1], a first attempt has been made to use the Keyword Lexicon for automatic speech recognition.
Spatially dependent regularization parameter selection in total generalized variation models for image restoration

In this paper, the automated spatially dependent regularization parameter selection framework for multi-scale image restoration is applied to total generalized variation (TGV) of order 2. Well-posedness of the underlying continuous models is discussed and an algorithm for the numerical solution is developed. Experiments confirm that due to the spatially adapted regularization parameter, the method allows for a faithful and simultaneous recovery of fine structures and smooth regions in images. Moreover, because of the TGV regularization term, the adverse staircasing effect, which is a well-known drawback of the total variation regularization, is avoided.
Environmental scenarios and requirements stability

This paper recognizes the gap in research and practice that exists in addressing the evolution of E-Type systems that result from changes in the operating environment of the system over very long lifecycles. Through the fusion of a Goal Directed approach to requirements and the use of techniques drawn from Scenario Planning as used in the business community, this paper envisages an improved approach to requirements analysis. This approach would provide early indications of requirements stability and improved risk identification, so that they might then go on to be used as a means of preventing, or preparing for, change within the system design. An ongoing feasibility study is introduced and some early impressions from the study are summarized, including some potential instabilities in our Goals and Assumptions - and an insight into the way the system might affect the future environment itself.
INTERHEMISPHERIC COMMUNICATION AND EMOTIONAL REACTIVITY

Negative emotions involve right hemisphere activation, while positive emotions involve left hemisphere activation (Borod, 1992). Researchers (e.g., Galin, 1974) have further hypothesized that emotional regulation is associated with lefthemisphere activation. Thus, regulation of negative emotion would require interhemispheric communication. These studies examined whether individual differences in interhemispheric communication predicted emotional reactivity. In Study 1, participants completed the Emotional Contagion Scale (Doherty, 1997) and the Edinburgh Handedness Inventory (Oldfield, 1971), and "stronghandedness" (i.e., low interhemispheric communication) showed a positive relationship with contagion to negative emotions (e.g., fear, anger, and sadness). In Study 2, strong-handedness positively correlated with test anxiety.
Internal Model Control of Permanent Magnet Synchronous Motor Using Support Vector Machine Generalized Inverse

This paper proposes a new decoupling control for permanent magnet synchronous motor (PMSM) in which both the support vector machine generalized inverse (SVMGI) and the internal model control (IMC) are employed. By introducing the SVMGI systems into the original PMSM system, a new pseudo-linear system is developed. Moreover, based on the characteristics of the pseudo-linear system, the IMC theory is utilized to design extra controllers to improve the robustness of the whole system. Consequently, the proposed control strategy incorporates the merits of both the SVMGI and the IMC. The utility of the proposed control strategy is demonstrated by both the simulation and the experiments at various operations. The results validate successful decoupling of the original system, strong robustness to load disturbance and good dynamic performance.
Particle-Dependent Deformations of Lorentz Symmetry

I report results suggesting that it is possible to introduce laws of relativistic kinematics endowing different types of particles with suitably different deformed-Lorentz-symmetry properties. I also consider some possible applications of these results, among which I highlight those relevant for addressing a long-standing challenge in the description of composite particles, such as atoms, within quantum-gravity-inspired scenarios with Planck-scale deformations of Lorentz symmetry. Some of the new elements here introduced in the formulation of relativistic kinematics appear to also provide the starting point for the development of a correspondingly novel mathematical formulation of spacetime-symmetry algebras.
Neural correlates of vocal learning in songbirds and humans : cross-species fMRI studies into individual differences

Animal models, songbirds particularly, are increasingly used to study the human capacity for speech and language. In the light of understanding both language evolution and individual language acquisition these models are highly valuable, provided that they are studied within a valid comparative framework. In the past few decades, non-invasive methods such as functional Magnetic Resonance Imaging (fMRI) and Near-InfraRed Spectroscopy (NIRS) have become available for human as well as animal brain research. In the studies discussed in this thesis, fMRI is employed to unravel the neural correlates of vocal learning in the human and songbird brain. Specifically, fMRI in both songbirds and humans is used to study the neural mechanisms underlying birdsong learning and human artificial grammar learning. In a series of fMRI studies investigating these neural mechanisms in adult and juvenile zebra finches and human adults, this thesis compares the neural substrates of song learning in birds with those of language learning in humans. Studies in both species show correlations between behavioral learning of song or speech and neural activity. These results contribute to the songbird model for human vocal learning.
The synchronous languages 12 years later

Twelve years ago, Proceedings of the IEEE devoted a special section to the synchronous languages. This paper discusses the improvements, difficulties, and successes that have occured with the synchronous languages since then. Today, synchronous languages have been established as a technology of choice for modeling, specifying, validating, and implementing real-time embedded applications. The paradigm of synchrony has emerged as an engineer-friendly design method based on mathematically sound tools.
An Experimental Study on Conceptual Data Model Based Software Code Size Estimation

Effort and cost estimation is crucial in software management. Estimation of software size plays a key role in the estimation process. SLOC has been a commonly used software size metric. However, SLOC of a software project is available only after the coding phase. We need to estimate SLOC early in the life cycle in order to make reliable effort and cost estimation, which are crucial at the beginning of a project. Being an early phase product of the life cycle and being widely used during the requirements elicitation process of OO systems, the use of Conceptual Data Model for estimating SLOC have been explored in a number of studies. In this study, we explore whether the Conceptual Data Model can serve as an early indicator of software size by conducting an empirical study on two sample projects, which have similar characteristics and developed by the same software company.
Sycolo International Workshop on Synergies in Communications and Localization Program Keynote 1 Positioning with Gnss and Comm. Systems @bullet Improving the Performance of Toa over Wireless Systems to Track Mobile Targets Cooperative Positioning and Cognitive Radio @bullet Cluster-based Ranging for

Wireless Sensor Networks are a promising solution for indoor location systems. However, many of these systems rely on algorithms that use parametric models of the channel propagation where the parameters can be time variant. This paper introduces a new technique based on a Bayesian filtering method that estimates network nodes positions at the same time that propagation model parameters are extracted. Experimental results show the location estimation improvement of the introduced technique.
Information Needs and Seeking Behavior of Patients and Carers in Palliative Care: A Case Study from Public Hospital Malaysia

Palliative care is associated with life-threatening diseases and death. To deepen understanding of the complexity of information need, information seeking behaviour becomes important in order to enhance the provision of adequate information and quality of services on the part of patients and carers in palliative care. This paper aims to investigate how patients and carer are seeking and use the information they need regarding palliative care. The study mainly assessed careers purpose of seeking information, preferable sources of health information and format, language and method of communication. The study used a quantitative method with the aid of structured questionnaires distributed among 45 respondents. The study found that the main purpose to seek information is to find out details of the illness they were diagnosed by the doctor (66%). Many also indicated searching for the possible location of care within their area of living as another purpose (59%). The preferences source of seeking information is by consulting with the doctors, followed by talking to family members, friends and consulting with allied health workers. In terms of seeking format of information related to their illness, most respondents preferred printed material (42%) as opposed to electronic (36%) or audiovisual materials (24%). They also mostly preferred information in the Malay language (85%) including of those Chinese respondents. The least preferred source of information is personal health blogs and apps. Respondents preferred a face-to-face meeting with the doctors (55%) as a method of communication. The paper then provides useful suggestions that would facilitate information seeking and use of the information they need among patients and careers in Malaysia and other countries with similar conditions.
Micro-Scale Severe Weather Prediction Based on Region Trajectories Extracted from Meteorological Radar Data

We present a scheme to predict micro-scale weather based on region trajectories extracted from meteorological radar data. Moving regions representing micro-scale severe weather are extracted from radar data and form into trajectories, and based on the formed trajectories, we predict where the regions will move and its future scope by the approach of linear regression, which leads to prediction of severe weather.
The Histone Acetylase Activator Pentadecylidenemalonate 1b Rescues Proliferation and Differentiation in the Human Cardiac Mesenchymal Cells of Type 2 Diabetic Patients

This study investigates the diabetes-associated alterations present in cardiac mesenchymal cells (CMSC) obtained from normoglycemic (ND-CMSC) and type 2 diabetic patients (D-CMSC), identifying the histone acetylase (HAT) activator pentadecylidenemalonate 1b (SPV106) as a potential pharmacological intervention to restore cellular function. D-CMSC were characterized by a reduced proliferation rate, diminished phosphorylation at histone H3 serine 10 (H3S10P), decreased differentiation potential, and premature cellular senescence. A global histone code profiling of D-CMSC revealed that acetylation on histone H3 lysine 9 (H3K9Ac) and lysine 14 (H3K14Ac) was decreased, whereas the trimethylation of H3K9Ac and lysine 27 significantly increased. These observations were paralleled by a downregulation of the GCN5-related N-acetyltransferases (GNAT) p300/CBP-associated factor and its isoform 5-α general control of amino acid synthesis (GCN5a), determining a relative decrease in total HAT activity. DNA CpG island hypermethylation was detected at promoters of genes involved in cell growth control and genomic stability. Remarkably, treatment with the GNAT proactivator SPV106 restored normal levels of H3K9Ac and H3K14Ac, reduced DNA CpG hypermethylation, and recovered D-CMSC proliferation and differentiation. These results suggest that epigenetic interventions may reverse alterations in human CMSC obtained from diabetic patients.
The Origins and Diversification of the Exceptionally Rich Gemsnakes (Colubroidea: Lamprophiidae: Pseudoxyrhophiinae) in Madagascar.

Processes leading to spectacular diversity of both form and species on islands have been well-documented under island biogeography theory, where distance from source and island size are key factors determining immigration and extinction resistance. But far less understood are the processes governing in situ diversification on the world's mega islands, where large and isolated land masses produced morphologically distinct radiations from related taxa on continental regions. Madagascar has long been recognized as a natural laboratory due to its isolation, lack of influence from adjacent continents, and diversification of spectacular vertebrate radiations. However, only a handful of studies have examined rate shifts of in situ diversification for this island. Here, we examine rates of diversification in the Malagasy snakes of the family Pseudoxyrhophiinae (gemsnakes) to understand if rates of speciation were initially high, enhanced by diversification into distinct biomes, and associated with key dentition traits. Using a genomic sequence-capture data set for 366 samples, we determine that all previously described and newly discovered species are delimitable and therefore useful candidates for understanding diversification trajectories through time. Our analysis detected no shifts in diversification rate between clades or changes in biome or dentition type. Remarkably, we demonstrate that rates of diversification of the gemsnake radiation, which originated in Madagascar during the early Miocene, remained steady throughout the Neogene. However, we do detect a significant slowdown in diversification during the Pleistocene. We also comment on the apparent paradox where most living species originated in the Pleistocene, despite diversification rates being substantially higher during the earlier 15 myr. [Gemsnakes; in situ diversification; island biogeography; Neogene; Pseudoxyrhophiinae; speciation. ].
Imaginal discs: Renaissance of a model for regenerative biology

Many animals display a capacity to regenerate tissues or even a complete body. One of the main goals of regenerative biology is to identify the genes and genetic networks necessary for this process. Drosophila offers an ideal model system for such studies. The wide range of genetic and genomic approaches available for use in flies has helped in initiating the deciphering of the mechanisms underlying regeneration, and the results may be applicable to other organisms, including mammals. Moreover, most models of regeneration require experimental manipulation, whereas in Drosophila discrete domains can be ablated by genetically induced methods. Here, we present a summary of current research into imaginal disc regeneration and discuss the power of this tissue as a tool for understanding the genetics of regeneration.
Historical Research Using Email Archives

Archives of letters and documents belonging to individuals provide valuable insights into history. In the digital age, such history is being captured in personal digital archives, especially in the form of email. Archival organizations have recognized the importance of email archives and often collect email when they acquire the papers of eminent donors; however they find it difficult to screen, process and provide access to email for research, due to its sheer volume. We describe the considerations we encountered with the email archives of two prominent individuals in the special collections of Stanford University Libraries. We have designed novel approaches to the challenges of (1) Reconciliation with authority records, (2) Making "finding aids" of the archive available to the general public, without revealing confidential information, and (3) Browsing an email archive when one may not know what exactly to look for. Our solutions have been implemented in a publicly available and open source system called ePADD. As a result, we enable donors and archival organizations to appraise, process and screen large-scale email archives, thereby unlocking the historical value embedded in them. \
The subcellular localization of the hepatitis C virus non-structural protein NS2 is regulated by an ion channel-independent function of the p7 protein

The hepatitis C virus (HCV) p7 ion channel and non-structural protein 2 (NS2) are both required for efficient assembly and release of nascent virions, yet precisely how these proteins are able to influence this process is unclear. Here, we provide both biochemical and cell biological evidence for a functional interaction between p7 and NS2. We demonstrate that in the context of a genotype 1b subgenomic replicon the localization of NS2 is affected by the presence of an upstream p7 with its cognate signal peptide derived from the C terminus of E2 (SPp7). Immunofluorescence analysis revealed that the presence of SPp7 resulted in the targeting of NS2 to sites closely associated with viral replication complexes. In addition, biochemical analysis demonstrated that, in the presence of SPp7, a significant proportion of NS2 was found in a detergent (Triton X-100)-insoluble fraction, which also contained a marker of detergent resistant rafts. In contrast, in replicons lacking p7, NS2 was entirely detergent soluble and the altered localization was lost. Furthermore, we found that serine 168 within NS2 was required for its localization adjacent to replication complexes, but not for its accumulation in the detergent-insoluble fraction. NS2 physically interacted with NS5A and this interaction was dependent on both p7 and serine 168 within NS2. Mutational and pharmacological analyses demonstrated that these effects were not a consequence of p7 ion channel function, suggesting that p7 possesses an alternative function that may influence the coordination of virus genome replication and particle assembly.