Miracle-dz/UniFAR-FTUs huggingface dataset:
The role of illness perceptions in the attachment-related process of affect regulation

Abstract Based on the predictions of the attachment theory and the Common Sense Model of illness perceptions, the current study focused on the role played by illness perceptions in explaining the path linking attachment orientations to negative affect during recovery from cardiac illness. We predicted two putative mechanisms: (1) illness perceptions would mediate the direct association between attachment-related insecurity (especially attachment anxiety) and levels of distress at follow-up and (2) illness perceptions would interact with attachment orientations (attachment avoidance in particular) in explaining patients' distress. The sample consisted of 111 male patients admitted to the Cardiac Care Unit of the Meir Medical Center, located in the central region of Israel. Patients completed a measure of attachment orientations during hospitalization (baseline). One month later, patients' illness perceptions were measured. Patients' depression and anxiety symptoms were measured at baseline and at the six-month follow-up. The associations between attachment-related anxiety and anxiety symptoms at follow-up were fully mediated by illness perceptions. Attachment-related avoidance was found to interact with illness perceptions in the prediction of depressive symptoms at follow-up. The findings shed light on the possible dynamics among personality, cognitive appraisals, and affect regulation efforts when coping with illness.
Defect-Oriented and Time-Constrained Wafer-Level Test-Length Selection for Core-Based Digital SoCs

Product cost is a major driver in the consumer electronics market, which is characterized by low profit margins and the use of core-based system-on-chip (SoC) designs. Packaging has been recognized as a significant contributor to the product cost for such SoCs. To reduce packaging cost and the test cost for packaged chips, wafer-level testing (wafer sort) is used in the semiconductor industry to screen defective dies. However, since test time is a major practical constraint for wafer sort, even more so than for package test, not all the scan-based digital tests can be applied to the die under test. We present an optimal test-length selection technique for wafer-level testing of core-based SoCs. This technique, which is based on a combination of statistical yield modeling and integer linear programming, allows us to determine the number of patterns to use for each embedded core during wafer sort such that the probability of screening defective dies is maximized for a given upper limit on the SoC test time. Simulation results are presented for five of the ITC'02 SoC test benchmarks
Scaling the Dynamic Approach to Autonomous Path Planning: Planning Horizon Dynamics

In the dynamical systems approach to robot path planning both sensed and remembered information contribute to shape a nonlinear vector field that governs the behavior of an autonomous agent. Such systems perform well with partial knowledge of the environment and in dynamically changing environments. Nevertheless, it is a local heuristic approach to path planning, and it is not guaranteed to find existing paths. We describe a method of adjusting the spatial resolution of the planner using a dynamical system that operates at a faster time scale than the planning dynamics. This improves the system's ability to utilize both sensed and remembered information, and to solve a larger range of problems without resorting to global path planning.
Location Feature Integration for Clustering-Based Speech Separation in Distributed Microphone Arrays

In distributed microphone arrays (DMAs) the source location information can be defined at the intra and inter-node levels. Indeed, while the first type of information results from the diversity of acoustic channels recorded by microphones embedded in the same node, the second is attributed to the differences between the acoustic channels observed by spatially distributed nodes. Both cues are very useful in DMA processing, and the aim of this paper is to utilize both of them to cluster and separate multiple competing speech signals. To capture the intra-node information, we employ the normalized recording vector, while at the inter-node level, we consider different features including the energy level differences with and without the phase differences between nodes. We model the intra-node information using the Watson mixture model (WMM), and propose using the Gamma mixture model (GaMM), Dirichlet mixture model (DMM), and WMM to model different inter-node location features. Furthermore, we propose several integrations of the intra-node and inter-node feature contributions to cluster speech recordings using the expectation maximization algorithm. Finally, simulation results are provided to demonstrate the performance of all ensuing methods.
Pharmacodynamics of Daptomycin in a Murine Thigh Model of Staphylococcus aureus Infection

ABSTRACT Daptomycin is a lipopeptide antibiotic with activity against gram-positive bacteria, including Staphylococcus aureus. We defined the pharmacodynamic parameters that determine the activity of daptomycin for S. aureus using in vitro methods and the Craig (W. A. Craig, J. Redington, and S. C. Ebert, J. Antimicrob. Chemother. 27[Suppl. C]:29–40, 1991) neutropenic mouse thigh infection model. In Mueller-Hinton broth, the MICs for threeS. aureus isolates were 0.1 to 0.2 μg/ml. In mouse serum, the MICs were 1.0 μg/ml. The protein binding of daptomycin was 90 to 92.5% in mouse serum. Single-dose intraperitoneal (i.p.) pharmacokinetic studies with infected mice showed a linear relationship between dose versus the maximum concentration of drug in serum and dose versus the area under the concentration-time curve (AUC). The serum half-life of daptomycin in infected mice was approximately 1.8 h. In single-dose, dose-ranging studies using mice, daptomycin showed a dose-response effect described by an inhibitory sigmoidEmax (maximum effect) curve (r = 0.974; P ≪ 0.001). The density of S. aureus in untreated controls was 8.26 log10 CFU/g, and the Emax was 3.97 log10 CFU/g. The 50% effective dose (ED50) was 3.7 mg/kg of body weight i.p. and the stasis dose was 7.1 mg/kg. Dose fractionation studies at schedules of Q6h, Q12h, and Q24h, for total 24-h ED30, ED60, and ED80 doses of 2.5, 5.6, and 15 mg/kg i.p., showed no difference in effect at each total 24-h dose level by schedule, indicating that the AUC/MIC ratio is the dynamically linked variable.
Attention-Deficit/Hyperactivity Disorder in Adults

• Objective: To review the diagnosis and treatment of attention-deficit/hyperactivity disorder (ADHD) in adults. • Methods: Qualitative assessment of the literature. • Results: ADHD in adults is characterized by symptoms such as difficulty getting started on tasks, variable attention to details, difficulties with self-organization and prioritization, and poor persistence in tasks that require sustained mental effort. These symptoms result in impaired performance in academic, occupational, and social spheres. To meet diagnostic criteria for ADHD as an adult, the disorder must have been present in childhood (possibly undiagnosed). Adult ADHD can co-occur with other psychiatric disorders, making the differential diagnosis challenging at times. Treatment modalities include patient education, pharmacologic therapy, and psychosocial interventions. • Conclusion: It is important for primary care physicians to identify patients with adult ADHD and ensure that they receive effective treatment.
Decision-making during gambling: an integration of cognitive and psychobiological approaches

Gambling is a widespread form of entertainment that may afford unique insights into the interaction between cognition and emotion in human decision-making. It is also a behaviour that can become harmful, and potentially addictive, in a minority of individuals. This article considers the status of two dominant approaches to gambling behaviour. The cognitive approach has identified a number of erroneous beliefs held by gamblers, which cause them to over-estimate their chances of winning. The psychobiological approach has examined case-control differences between groups of pathological gamblers and healthy controls, and has identified dysregulation of brain areas linked to reward and emotion, including the ventromedial prefrontal cortex (vmPFC) and striatum, as well as alterations in dopamine neurotransmission. In integrating these two approaches, recent data are discussed that reveal anomalous recruitment of the brain reward system (including the vmPFC and ventral striatum) during two common cognitive distortions in gambling games: the near-miss effect and the effect of personal control. In games of chance, near-misses and the presence of control have no objective influence on the likelihood of winning. These manipulations appear to harness a reward system that evolved to learn skill-oriented behaviours, and by modulating activity in this system, these cognitive distortions may promote continued, and potentially excessive, gambling.
Bioinformatics Applications Note Genome Analysis Making Whole Genome Multiple Alignments Usable for Biologists

Here we describe a set of tools implemented within the Galaxy platform designed to make analysis of multiple genome alignments truly accessible for biologists. These tools are available through both a web-based graphical user interface and a command-line interface. Availability and Implementation: This open-source toolset was implemented in Python and has been integrated into the online data analysis platform Galaxy (public web access:
The first decade of terminal restriction fragment length polymorphism (T-RFLP) in microbial ecology

Terminal restriction fragment length polymorphism (T-RFLP) was introduced to environmental microbiology only a decade ago but it soon became a molecular tool of choice, due to its high throughput and phylogenetic resolution. Fierce discussions accompanied the new method leading to sophistication of the data preparation, acquisition, manipulation and standardization of analysis. Consequently, numerous approaches were proposed at various steps and also criticized. As a result, a combination of variable percentage threshold and Bray-Curtis index used in nonmetric multidimensional scaling are now being accepted. Their combination offers a balance between noise elimination and information retention yielding a powerful and yet easily interpreted method to examine community patterns based on T-RFLP data. Its current state of the art and future developments highlight the potential of the method in the field of microbial ecology. However, a more standardized approach and a higher level of control at all stages of TRFLP fingerprinting are needed.
A practical constructive scheme for deterministic shared-memory access

We present an explicit memory organization scheme for distributing $M$ data items among $N$ memory modules where $M \in \Theta(N^{1.5-O(1/\log N)})$. Each datum is replicated into a constant number of copies assigned to distinct modules. Assuming that $N$ processors are connected to the memories through a complete graph, we provide an access protocol so that the processors can read/write any set of $N'' \leq N$ distinct data in $O((N'')^{1/3} \log^{*} N''+\log N)$ worst-case time. The address computation can be carried out efficiently without resort to a complete memory map and using $O(1)$ internal storage per processor.
C-Meter: A Framework for Performance Analysis of Computing Clouds

Cloud computing has emerged as a new technology that provides large amounts of computing and data storage capacity to its users with a promise of increased scalability, high availability, and reduced administration and maintenance costs. As the use of cloud computing environments increases, it becomes crucial to understand the performance of these environments. So, it is of great importance to assess the performance of computing clouds in terms of various metrics, such as the overhead of acquiring and releasing the virtual computing resources, and other virtualization and network communications overheads. To address these issues, we have designed and implemented C-Meter, which is a portable, extensible, and easy-to-use framework for generating and submitting test workloads to computing clouds. In this paper, first we state the requirements for frameworks to assess the performance of computing clouds. Then, we present the architecture of the C-Meter framework and discuss several cloud resource management alternatives. Finally, we present ourearly experiences with C-Meter in Amazon EC2. We show how C-Meter can be used for assessing the overhead of acquiring and releasing the virtual computing resources, for comparing different configurations, and for evaluating different scheduling algorithms.
Compactification of moduli of Higgs bundles

In this paper we consider a canonical compactification of Hitchin's moduli space of stable Higgs bundles with fixed determinant of odd degree over a Riemann surface, producing a projective variety by gluing in a divisor at infinity. We give a detailed study of the compactified space, the divisor at infinity and the moduli space itself. In doing so we reprove some assertions of Laumon and Thaddeus on the nilpotent cone.
Mechanics of chromosome separation during mitosis in Fusarium (Fungi imperfecti): new evidence from ultrastructural and laser microbeam experiments

The anaphase-telophase spindle usually elongates, and it has been assumed that the spindle pushes the incipient daughter nuclei apart. To test this assumption, we used a laser microbeam to sever the central spindle of the fungus, Fusarium solani, and measured the rate of separation of incipient daughter nuclei. When the microbeam was aimed beside the spindle separation occurred at a rate (8.6 micrometer/min) that did not differ significantly from the rate (7.6 micrometer/m) in unirradiated cells. But when the spindle was irradiated, it broke, and the separation was much faster (22.4 micrometer/min). Irradiation of cytoplasm lateral to one spindle pole resulted in a 1.5 micrometer/min reduction in the rate (6.1 micrometer/min) of separation. From these and other data, we infer that extranuclear forces, presumably involving astral microtubules, pull on the incipient daughter nuclei and that the central spindle limits the separation rate. Astral microtubules are associated with the plasma membrane or, sometimes, with the rough endoplasmic reticulum. Most of the spindle microtubules that are present at metaphase are depolymerized during anaphase and early telophase.
The spin evolution of nascent neutron stars

The loss of angular momentum owing to unstable r-modes in hot young neutron stars has been proposed as a mechanism for achieving the spin rates inferred for young pulsars. One factor that could have a significant effect on the action of the r-mode instability is fallback of supernova remnant material. The associated accretion torque could potentially counteract any gravitational-wave-induced spin-down, and accretion heating could affect the viscous damping rates and hence the instability. We discuss the effects of various external agents on the r-mode instability scenario within a simple model of supernova fallback on to a hot young magnetized neutron star. We find that the outcome depends strongly on the strength of the magnetic field of the star. Our model is capable of generating spin rates for young neutron stars that accord well with initial spin rates inferred from pulsar observations. The combined action of r-mode instability and fallback appears to cause the spin rates of neutron stars born with very different spin rates to converge, on a time-scale of approximately 1 year. The results suggest that stars with magnetic fields ? 1013 G could emit a detectable gravitational wave signal for perhaps several years after the supernova event. Stars with higher fields (magnetars) are unlikely to emit a detectable gravitational wave signal via the r-mode instability. The model also suggests that the r-mode instability could be extremely effective in preventing young neutron stars from going dynamically unstable to the bar-mode.
Morphology Effect of Surface Structures on Microchannel Flow Using Lattice Boltzmann Method

Microchannel flow shows a fascinating background on a lot of engineering problems. In order to shed a light on the effect of the surface morphology of microchannels on fluid flow, differently shaped and arranged artificial elements constitute channels with different morphology and numerical simulation based on lattice Boltzmann method is conducted. The impact of micro effect is also stressed by comparing the results considering and not considering it in the same channel model. Analysis of flow details shows the difference of the morphology effect on fluid flow, which differs by the shape and density of the elements’ array. The permeability of channels shows a specific relationship with the density of artificial elements, and differences are found between varied shapes and the existence of micro effects. Further research is carried based on more complex channels with arrays of fractal-character artificial elements. As elements in the channel can be divided into main summits and subsummits, their different roles of the effect on the fluid flow is investigated. The result shows that the permeability will not change if main summits are kept in channels while all subsummits are removed to make a distinct simplification of the morphology. This discovery is furtherly ensured numerically by a test on a channel created with the profile of a rough rock surface. The finding for morphology effect on fluid flow can supply a reference for the prediction of the permeability of complex channels or fractures.
Development of new circuit with CSA for X-ray astronomical SOI pixel detector - improving energy resolution

We have been developing a monolithic active pixel sensor with the silicon-on-insulator (SOI) CMOS technology for use in future X-ray astronomical satellite mission. Our objective is to replace the X-ray Charge Coupled Device (CCD), which is the standard detector in the field, by offering high coincidence time resolution (~ 50 ns), superior hit-position readout time (~ 10 μs), and wider bandpass (0.5 - 40 keV) in addition to having comparable performances in imaging spectroscopy. In order to realize this detector, we have developed prototype detectors, called “XRPIX” series. XRPIX contains comparator circuit in each pixel to detect an X-ray photon injection; it offers intra-pixel hit trigger (timing) and two-dimensional hit-pattern (position) outputs. Therefore, XRPIX is capable of direct access to selected pixels to read out the signal amplitude. In our previous study, we evaluated its basic performance and obtained the X-ray spectra by this system. The next step is improvement in spectroscopic performance. Then, we designed a new prototype, called “XRPIX3”, which has charge sensitive amplifier (CSA) in each pixel. The pixel circuit with CSA works good. It is 3.4 times higher gain as compared with normal pixel circuit. Furthermore, XRPIX3 resolved Mn-Kα and Mn-Kβ successfully for the first time in our series. The readout noise is 33 e- rms and the energy resolution is about 300 eV FWHM at 5.9 keV. In this paper, we report on the design and test results of this new device.
A storm-scale analysis of the 16 June 2008 significant severe weather event across New York and Western New England

On 16 June 2008, a widespread severe weather event occurred across much of upstate New York (NY) and portions of New England. The Storm Prediction Center (SPC) posted a moderate risk that afternoon from the Mohawk River Valley, Greater Capital Region and southwestern New England southward into the Mid Atlantic region. The Northeast United States (including Pennsylvania (PA)) had over 200 severe reports (Fig. 1) of damaging winds in excess of 50 knots (58 mph), and severe hail (greater than 1.9 cm in diameter). There was also one confirmed tornado in the lower Hudson Valley. The vast majority of the severe reports were hail (165), with a few hail stones exceeding 5.0 cm in diameter (U.S. Department of Commerce, Storm Data 2008). The severe convection was focused ahead of a surface cold front and a potent short-wave trough rotating around a strong 500 hPa cutoff low, meandering southeast from Southern Ontario and Lake Superior. Observational data, as well as short range deterministic and probabilistic model guidance suggested a major severe weather outbreak was about to occur. A cyclonically curved upperlevel jet was located southwest of NY with a plume of divergence over the Northeast in the afternoon. Much of the southern portion of the Albany forecast area was in the favorable left front quad of a mid-and upper-level jet streak. An expected abundance of surface-based convective available potential energy (SBCAPE), steepening mid-level lapse rates, low wet bulb zero heights and high bulk shear values in the 0-6 km layer suggested the possibility of isolated to scattered supercells with very large hail. The forecaster thinking for the predominant convective mode this day, however, was for mainly multicellular convection with severe hail and damaging winds due to the steep mid-level lapse rates and strong jet dynamics.
TriSI: A Distinctive Local Surface Descriptor for 3D Modeling and Object Recognition

Local surface description is a critical stage for surface matching. This paper presents a highly distinctive local surface descriptor, namely TriSI. From a keypoint, we first construct a unique and repeatable local reference frame (LRF) using all the points lying on the local surface. We then generate three spin images from the three coordinate axes of the LRF. These spin images are concatenated and further compressed into a TriSI descriptor using the principal component analysis technique. We tested our TriSI descriptor on the Bologna Dataset and compared it to several existing methods. Experimental results show that TriSI outperformed existing methods under all levels of noise and varying mesh resolutions. The TriSI was further tested to demonstrate its effectiveness in 3D modeling. Experimental results show that it can accurately perform pairwise and multiview range image registration. We finally used the TriSI descriptor for 3D object recognition. The results on the UWA Dataset show that TriSI outperformed the state-of-the-art methods including spin image, tensor and exponential map. The TriSI based method achieved a high recognition rate of 98.4%.