Miracle-dz/UniFAR-FTUs huggingface dataset:
On the kinetic Sunyaev–Zel’dovich effect as an observational probe for halo spin bias

We explore the potential of the kinetic Sunyaev-Zel'dovich (kSZ) effect as the cornerstone of a future observational probe for halo spin bias, the secondary dependence of halo clustering on halo spin at fixed halo mass. Using the IllustrisTNG magneto-hydrodynamical cosmological simulation, we measure both the kSZ and the thermal SZ (tSZ) effects produced by the baryonic content of more than 50,000 haloes within the halo mass range $11 < \log_{10} ({\rm M_{vir}}/ h^{-1} {\rm M_{\odot}}) \lesssim 14.5$. First, we confirm that the magnitude of both effects depends strongly on the total gas and virial mass of the haloes, and that the integrated kSZ signal displays a significant correlation with the angular momentum of the intra-halo gas, particularly for massive haloes. Second, we show that both the integrated kSZ signal and the ratio of the integrated kSZ and tSZ signals trace total halo spin, even though significant scatter exists. Finally, we demonstrate that, in the absence of observational and instrumental uncertainties, these SZ-related statistics can be used to recover most of the underlying IllustrisTNG halo spin bias signal. Our analysis represents the first attempt to develop a future observational probe for halo spin bias, bringing forward alternative routes for measuring the secondary bias effects.
Parallel SQL Query Auto-Tuning on Multicore

Multicore processors with several processors on a chip are standard, so applications need to be parallel in order to exploit the performance potential. Relational database systems are important applications that can exploit new opportunities for parallelism within queries. Intra-query parallelism offers additional performance potential that could not be exploited easily on earlier hardware. Addressing this important issue, this paper focuses on a difficult scenario for performance improvement: the parallelization of joins in I/O intensive multi-join queries. Our approach has the significant advantage that is does not require a rewrite of existing query optimizers from scratch. We boost query speed on multicore systems using query execution plans that are generated by sequential optimizers. This is the first paper to (1) auto-tune parallel query performance by adjusting the structure of multi-threaded pipelines that are superimposed over sequential query plans; (2) employ double-pipelined hash joins that are multithreaded to boost performance; (3) let an auto-tuner decide how to adapt parallelism to the hardware environment by exchanging hash join algorithms in the query plan; (4) present a demonstration and working strategies for multithreaded query auto-tuning on shared-memory multicore systems. Our evaluations show that queries can execute up to a factor of 3 faster on a quad-core machine, and that queries from the industry TPC-H benchmark can execute up to 47% faster compared to sequential execution. The results are remarkable considering the I/O bound context. Using PostgreSQL’s code as an example, we also discuss the software engineering issues for the adaptation of real-world database systems.
Robust stability of uncertain Markovian jump discrete-time recurrent neural networks with time delays

This article is concerned with robust stochastic stability for a class of uncertain Markovian jump discrete-time recurrent neural networks (MJDRNNs) with time delays. The uncertainty is assumed to be of the norm-bounded form. By employing the Lyapunov functional and linear matrix inequality (LMI) approach, some sufficient criteria are proposed for the robust stochastic stability in the mean square of the MJDRNNs with constant or mode-dependent time delays. The proposed LMI-based results are computationally efficient as they can be solved numerically using standard commercial software. The validity of the obtained results are further illustrated by two simulation examples.
Selected Chitinase Genes in Cultured and Uncultured Marine Bacteria in the α- and γ-Subclasses of the Proteobacteria

ABSTRACT PCR primers were patterned after chitinase genes in four γ-proteobacteria in the families Alteromonadaceae andEnterobacteriaceae (group I chitinases) and used to explore the occurrence and diversity of these chitinase genes in cultured and uncultured marine bacteria. The PCR results from 104 bacterial strains indicated that this type of chitinase gene occurs in two major groups of marine bacteria, α- and γ-proteobacteria, but not theCytophaga-Flavobacter group. Group I chitinase genes also occur in some viruses infecting arthropods. Phylogenetic analysis indicated that similar group I chitinase genes occur in taxonomically related bacteria. However, the overall phylogeny of chitinase genes did not correspond to the phylogeny of 16S rRNA genes, possibly due to lateral transfer of chitinase genes between groups of bacteria, but other mechanisms, such as gene duplication, cannot be ruled out. Clone libraries of chitinase gene fragments amplified from coastal Pacific Ocean and estuarine Delaware Bay bacterioplankton revealed similarities and differences between cultured and uncultured bacteria. We had hypothesized that cultured and uncultured chitin-degrading bacteria would be very different, but in fact, clones having nucleotide sequences identical to those of chitinase genes of cultured α-proteobacteria dominated both libraries. The other clones were similar but not identical to genes in cultured γ-proteobacteria, including vibrios and alteromonads. Our results suggest that a closer examination of chitin degradation by α-proteobacteria will lead to a better understanding of chitin degradation in the ocean.
Simultaneous speckle reduction of echocardiography frame sequence using PCA

By development of ultrasound technology, ultrasonic imaging has become a frequently used diagnostic tool. The main benefit for this system is real-time imaging and being safe compared to other methods of imaging like Magnetic Resonance Imaging (MRI). A challenging issue for ultrasonic imaging is low quality due to naturally inherited speckle noise. In this paper, we have proposed an accurate despeckling method which uses temporal information of echocardiography frames instead of spatial characteristics to reduce speckle in each frame. Data matrix is formed by placing Intensity Variation Time Curves (IVTC) as columns and change in the basis of information is done by Principal Component Analysis (PCA). This method is faster than other reported methods and also does not have the deficiency of image blurring contrary to most other techniques. Results for this technique are evaluated both quantitatively, using evaluation criteria and qualitatively from the viewpoint of an expert.
Is Health Care a Special Challenge to Quality Management? Insights From the Danderyd Hospital Case

A 10-year quality journey of a Swedish university hospital is described in this case study based on a variety of data sources. A series of quality initiatives were implemented according to total quality management (TQM) “best practice. ” Many projects were successful, but still a majority of those did not meet the staff's requirement of practical relevance, and they provoked scepticism toward instruments introduced and resistance to service-related quality definitions. The hospital's incentive structures did not reward an engagement in improvement activities. The findings are interpreted as demonstrating that the programs were viewed upon as part of a “management” rather than “professional” agenda, despite the underlying philosophy of TQM. It is suggested that applying professional practice development approaches to improvement initiatives might help to overcome the barrier thus created.
Comparative evaluation of radio propagation properties at 15 GHz and 60 GHz frequencies

Due to explosive growth in the mobile data demand, millimeter-wave (mmWave) spectrum is to become one of the key enablers for the next-generation 5G wireless. Accurate characterization of mmWave channels has crucial implications on 5G network planning — as compared to more conventional frequency bands — due to a higher impact that surrounding objects have on the radio propagation. In this work, we contribute mmWave channel measurements and compare our obtained results across several metrics of interests, mindful of previously standardized models. The proposed analysis is conducted for a typical mmWave system deployment operating at 15 and 60 GHz. The evaluation studies a difference between the obtained results for the two frequency bands considered, as well as verifies their predictability when utilizing modern modeling considerations.
Substrate-integrated half-mode resonant near-field sensor for liquid characterization

A compact resonant near-field sensor is introduced for characterization of biological liquids. It is based on a folded substrate-integrated half-mode resonator with a planar sensing tip. Because of its planar geometry, a sample under test can be easily coupled to the sensor which, in turn, is potentially very low-cost. The sensitivity of the sensor on different aqueous solutions is tested experimentally at 5 GHz. Salt, sugar and ethanol solutions can be discriminated by the sensor with a change in concentration of less than 1 %. The device is suitable for system-in-package integration and may thus prove useful in biological and chemical applications.
The Meta-Pi Network: Building Distributed Knowledge Representations for Robust Multisource Pattern Recognition

The authors present the Meta-Pi network, a multinetwork connectionist classifier that forms distributed low-level knowledge representations for robust pattern recognition, given random feature vectors generated by multiple statistically distinct sources. They illustrate how the Meta-Pi paradigm implements an adaptive Bayesian maximum a posteriori classifier. They also demonstrate its performance in the context of multispeaker phoneme recognition in which the Meta-Pi superstructure combines speaker-dependent time-delay neural network (TDNN) modules to perform multispeaker /b,d,g/ phoneme recognition with speaker-dependent error rates of 2%. Finally, the authors apply the Meta-Pi architecture to a limited source-independent recognition task, illustrating its discrimination of a novel source. They demonstrate that it can adapt to the novel source (speaker), given five adaptation examples of each of the three phonemes. >
Stabilization of fixed speed wind generator by using variable speed PM wind generator in multi-machine power system

This paper present stabilization control of fixed speed wind generator by using variable speed permanent magnet wind generator in a wind farm connected with multi-machine power system. A novel direct-current based d-q vector control technique of back to back converter integrated with Fuzzy Logic Controller for optimal control configuration is proposed, in which both active and reactive powers delivered to a power grid system are controlled effectively. Simulation analyses have been performed using PSCAD/EMTDC. Simulation results show that the proposed control scheme is very effective to enhance the voltage stability of the wind farm during fault condition.
A Mobile Application for Monitoring Inefficient and Unsafe Driving Behaviour

Many automobile drivers are aware of the driving behaviours and habits that can lead to inefficient and unsafe driving. However, it is often the case that these same drivers unknowingly exhibit these inefficient and unsafe driving behaviours in their everyday driving activity. This paper proposes a practical and economical way to capture, measure, and alert drives of inefficient and unsafe driving. The proposed solution consists of a mobile application, running on a modern smartphone device, paired with a compatible OBD-II (On-board diagnostics II) reader.
The stability of matter: From atoms to stars : selecta of Elliott H. Lieb

This collection of papers -- starting with a brilliant article by one of the masters of the field -- gives an excellent current review of our knowledge of matter. Partially basing his work on a variational formulation of quantum mechanics, E. H. Lieb links the difficult question of the stability of matter with important problems in functional analysis. In this collection the reader will find general results together with deep insights into quantum systems combined with papers on the structure of atoms and molecules, the thermodynamic limit, and stellar structures. The book is suitable as an accompanying text for a graduate course in quantum mechanics. In this new edition two new sections have been added: Section 7 contains papers on quantum electrodynamics, and Section 8 on Boson systems.
Generation of new Notch2 mutant alleles

The Notch signaling pathway is an evolutionarily conserved intercellular signaling mechanism, and mutations in its components disrupt embryonic development in many organisms and cause inherited diseases in humans. We previously described construction and analysis of a hypomorphic allele of the Notch2 gene. Homozygosity for this allele leads to embryonic and perinatal lethality due to cardiovascular and kidney defects. We report here novel Notch2 mutant alleles generated by gene targeting in embryonic stem cells, including a conditional null allele in which exon 3 of the Notch2 gene is flanked by loxP sequences. These new Notch2 mutant alleles expand the set of tools available for studying the myriad roles of the Notch pathway during mammalian development and will enable analysis of Notch2 function at additional stages of embryogenesis and in adult mice. genesis 44:29–33, 2006. © 2006 Wiley‐Liss, Inc.
Reading Development in Typically Developing Children and Children With Prenatal or Perinatal Brain Lesions: Differential School Year and Summer Growth

Summer slide, uneven growth of academic skills during the calendar year, captures the fact that the learning gains children make during the school year do not continue at the same pace over the summer, when children are typically not in school. We compared growth of reading skills during the school year and during the summer months in children with prenatal or perinatal brain lesions (PL) and typically developing (TD) children from varying socioeconomic-status (SES) backgrounds as a new way to probe the role of structured environmental support in functional plasticity for reading skills in children with PL. Results showed that children with PL performed worse than TD children on both reading decoding and reading comprehension. Group differences were primarily driven by children with larger lesions and children with right-hemisphere lesions (RH). For reading comprehension, children with RH showed greater growth during the school year but more slide during the summer months than both TD children and children with left-hemisphere lesions, implicating a particularly strong role of structured input in supporting reading comprehension in this group. TD children from lower-SES backgrounds fell behind their TD peers from higher-SES backgrounds on decoding and reading comprehension but did not show differential patterns of school year and summer growth. Overall, results highlight the importance of considering the role of a host of factors interacting at multiple levels of analyses, including biological and environmental, in influencing developmental trajectories of TD children and atypically developing children.
Enhanced dynamic performance in pneumatic muscle actuators

Pneumatic muscle actuators based on McKibben muscles have performance characteristics that may be of considerable significance in robotics due to their power/weight ratio and use as user friendly soft drives. However, the dynamic response (bandwidth) has been inferior to electric systems, with a secondary concern over system stiffness. In this paper, the bandwidth limit is addressed from two perspectives; air flow effects and the physical structure of the actuator. It is shown that by reducing the dead volume within the muscle structure (by the addition of a variety of filler materials) the bandwidth can be increased by up to 400%, with similar increases in system stiffness. At the same time the air volume used to power the actuator can be reduced by up to 80-90%. The methods of achieving these improvements are fully assessed. Also, by ensuring effective air flow rates, it is shown that bandwidth limits can be increased by several 100% and potentially increases of 1000s% are possible.
ILE S YNCHRONIZATION S YSTEMS S URVEY

Several solutions exist for file storage, sharing, and synchronization. Many of them involve a central server, or a collection of servers, that either store the files, or act as a gateway for them to be shared. Some systems take a decentralized approach, wherein interconnected users form a peer-to-peer (P2P) network, and partake in the sharing process: they share the files they possess with others, and can obtain the files owned by other peers. In this paper, we survey various technologies, both cloud-based and P2P-based, that users use to synchronize their files across the network, and discuss their strengths and weaknesses.
The DN 10000TX: a new high-performance PRISM processor

The Hewlett-Packard DN 10000TX scales the original DN 10000 processor design to twice the performance through the use of more aggressive semiconductor technologies. The original eleven VLSI chip CPU design has been recast onto eight VLSI chips including a 1.0- mu m structured-custom chip, five submicron gate arrays, and one bipolar floating-point chip. Continuing to exploit the PRISM architecture to achieve multiple operations per cycle, the 36.36 MHz operation provides performance comparable to that of much higher frequency processors. The authors review the DN 10000 product family, and then present in some detail the goals, design approach, and processor implementation of the DN 10000TX. <<ETX>>
5-Methyl 3-(2-methylprop-3-yl) 2,6-dimethyl-4-(2-nitrosophenyl)pyridine-3,5-dicarboxylate

In the title compound, C20H22N2O5, a photo-degradation product of the hypertension drug nisoldipine, the dihedral angle between the nitrosophenyl ring and the pyridine ring is 75.7 (3)°. In the crystal structure, weak C—H⋯O hydrogen bonds help to establish the packing.
Trends in Mohs Surgery From 1995 to 2010: An Analysis of Nationally Representative Data

BACKGROUND In Mohs surgery, the histologic verification of tumor removal results in a lower rate of cancer recurrence compared with simple excision. Factors associated with the increased use of Mohs surgery are not well characterized. OBJECTIVE To investigate trends in the utilization of Mohs surgery. METHODS AND MATERIALS The authors performed a retrospective analysis of the National Ambulatory Medical Care Survey for patient visits associated with Mohs surgery from 1995 to 2010. The authors assessed percentage of skin cancers managed with Mohs surgery, the most common locations of skin cancer managed with Mohs surgery, and patient demographics associated with Mohs surgery. RESULTS Although there was an upward trend in the use of Mohs surgery (p = .004), a low percentage of skin cancers (average of 10.0%) were managed with this technique. When the surgical location was specified, Mohs surgery was most commonly used for the head and neck region. Demographic groups receiving Mohs surgery at higher rates included African Americans (44.2%) and patients aged 75 to 84 years (12.4%). CONCLUSION There has been an upward trend in the use of Mohs surgery, particularly in the head and neck region where tissue preservation is essential.
RECOGNIZE FACIAL EXPRESSION

Real-time facial expression analysis is an important yet challenging task in human computer interaction. This paper proposes a real-time person independent facial expression recognition system using a geometrical feature-based approach. The face geometry is extracted using the modified active shape model. Each part of the face geometry is effectively represented by the Census Transformation (CT) based feature histogram. The facial expression is classified by the SVM classifier with exponential chi-square weighted merging kernel. The proposed method was evaluated on the JAFFE database and in real-world environment. The experimental results show that the approach yields a high recognition rate and is applicable in real-time facial expression analysis.
TOWARDS A SPEECH-TO-SPEECH TRANSLATION SYSTEM ( 1 )

We describe our Universal Parser Architecture and its use in a speech translation system, based on the Machine Translation system under development at the Center for Machine Translation at Carnegie Mellon. To "understand" natural language, a system must have syntactic knowledge of the language and semantic knowledge of the domain. The Universal Parser Architecture allows grammar writers to develop these kinds of knowledge separately in a declarative manner, and the compiler/interpreter integrates these two knowledge bases dynamically in order to parse input sentences. We recently integrated our system with a speech recognition system to accept spoken sentences (rather than typed sentences) by extending our runtime parser component to handle "noisy" phoneme sequences (of spoken utterances) that possibly include recognition errors. The nature of this modification is explained and examples are presented. We find our architecture very suitable for speech translation, as it combines the use of domain semantic knowledge with a highly efficient runtime parsing algorithm, thus accommodating the increased search space necessary for parsing speech input.
The Relationship of Leadership Practices to Culture

The relationship of leadership to culture is explored in this study. The study was designed to determine if significant relationships existed between specific leadership practices and different cultural profiles. The treatment for this correlational study consisted of 15 teams with an assigned formal leader for each team. Significant relationships were found between the variables in 14 of the 20 relationships examined. It was concluded that different leadership practices resulted in different cultures.
Development of the Market for the Innovations: Proposal of a Methodology for Use in Technology-Base Business Incubators

The innovation management is considered one of the most representative factors of companies' competitiveness. The companies' innovation management studies contemplate many aspects, among then the innovation habitats, more specifically in the case of this paper, the technology-based business incubator [IBT]. The companies installed in the IBT, face, beyond the challenges of technological nature, the questions related to the market development for innovative products and the management of the innovation. The main purpose of this study is to develop a tool that can adjust the technology-based companies in the theoretical model of reference adopted, in which it is intended to contribute with the discussions related to the marketing methodologies traditionally used in the IBT's, to support the incubated companies. This research, developed in 2005 in Brazilian incubated companies, highlights the approach of the companies with the market, allowing their classification in different levels and instigating new themes for further studies about this matter
Attachment to a Native Publish/Subscribe Network

In this paper we examine how network attachment can be handled in a system where all communication, both on a data link and in a network, is based on the publish/subscribe paradigm instead of the traditional send/receive model. We present and discuss an early clean-slate solution to the problem of establishing and maintaining network connectivity between nodes in a secure and efficient way. The solution includes a basic protocol for pub/sub-based attachment, which addresses certain pertinent security challenges and conforms with the principle of receiver-driven communication. In addition, we report initial experiences from implementing the concepts outlined in our protocol design.