Miracle-dz/UniFAR-FTUs huggingface dataset:
A coastal trial facility for high voltage composite cross-arms

A trial site has been developed within a substation on the North East coast of Scotland for electrical testing high voltage composite cross-arms. A 400 kV transformer energizes two cross-arms installed on a lattice tower oriented at 90° from each other. A custom made protection system has been designed to keep the equipment within operating limits and minimize potential damage from faults. The purpose of the trial is to monitor the electrical performance of the cross-arms by measuring the leakage current on the surface of the insulating members. Weather monitoring equipment that includes a weather transmitter, a present weather detector and a solar sensor is used to correlate electrical behavior with specific weather phenomena. Cameras overlooking the cross-arms provide information regarding pollution accumulation and snow accretion. A data acquisition and control platform is responsible for recording the measurements. The monitoring system is capable of compiling and transmitting wirelessly a summary of the leakage current and weather information every five minutes.
Male dance moves that catch a woman's eye

Male movements serve as courtship signals in many animal species, and may honestly reflect the genotypic and/or phenotypic quality of the individual. Attractive human dance moves, particularly those of males, have been reported to show associations with measures of physical strength, prenatal androgenization and symmetry. Here we use advanced three-dimensional motion-capture technology to identify possible biomechanical differences between women's perceptions of ‘good’ and ‘bad’ male dancers. Nineteen males were recorded using the ‘Vicon’ motion-capture system while dancing to a basic rhythm; controlled stimuli in the form of avatars were then created in the form of 15 s video clips, and rated by 39 females for dance quality. Initial analyses showed that 11 movement variables were significantly positively correlated with perceived dance quality. Linear regression subsequently revealed that three movement measures were key predictors of dance quality; these were variability and amplitude of movements of the neck and trunk, and speed of movements of the right knee. In summary, we have identified specific movements within men's dance that influence women's perceptions of dancing ability. We suggest that such movements may form honest signals of male quality in terms of health, vigour or strength, though this remains to be confirmed.
Collective Relaxation Dynamics of Small-World Networks

Complex networks exhibit a wide range of collective dynamic phenomena, including synchronization, diffusion, relaxation, and coordination processes. Their asymptotic dynamics is generically characterized by the local Jacobian, graph Laplacian, or a similar linear operator. The structure of networks with regular, small-world, and random connectivities are reasonably well understood, but their collective dynamical properties remain largely unknown. Here we present a two-stage mean-field theory to derive analytic expressions for network spectra. A single formula covers the spectrum from regular via small-world to strongly randomized topologies in Watts-Strogatz networks, explaining the simultaneous dependencies on network size N, average degree k, and topological randomness q. We present simplified analytic predictions for the second-largest and smallest eigenvalue, and numerical checks confirm our theoretical predictions for zero, small, and moderate topological randomness q, including the entire small-world regime. For large q of the order of one, we apply standard random matrix theory, thereby overarching the full range from regular to randomized network topologies. These results may contribute to our analytic and mechanistic understanding of collective relaxation phenomena of network dynamical systems.
Computing Curriculum Analysis and Development

Information technology (IT) is an umbrella term that encompasses disciplines dealing with the computer and its functions. These disciplines originated from interests in using the computer to solve problems, the theory of computation, and the development of the computer and its components. Professionals from around the world with similar interests in IT came together and formed international professional organizations. The professional organizations span the disciplines of computer engineering (CE), computer science (CS), software engineering (SE), computer information systems (CIS), management information systems (MIS), and information technology (IT) (Freeman & Aspray, 1999). Note that information technology is both an umbrella term and a specific discipline under that umbrella. These organizations exist to promote their profession and one method of promotion is through education. So, these professional organizations defined bodies of knowledge around the computer, which have been formalized and shaped as model curriculums. The organizations hope that colleges and universities will educate students in the IT disciplines to become knowledgeable professionals. Because of the common interest in computing, there is a basic theory and a common technical core that exists among the model curricula (Denning, 1999; Tucker et al., 1991). Nevertheless each of the model curricula emphasizes a different perspective of IT. Each fills a different role in providing IT professionals. It falls upon the colleges and universities to select and modify the corresponding curriculum model to fit their needs.
Role of Interleukin-23 (IL-23) Receptor Signaling for IL-17 Responses in Human Lyme Disease

ABSTRACT Interleukin-23 (IL-23) is known to play a crucial role in the development and maintenance of T helper 17 cells. It has been previously demonstrated that IL-17 is involved in experimental Lyme arthritis, caused by Borrelia burgdorferi bacteria. However, the precise role of the IL-23 receptor (IL-23R) for the B. burgdorferi-induced IL-17 responses or human Lyme disease has not yet been elucidated. IL-23R single nucleotide polymorphism (SNP) rs11209026 was genotyped using the TaqMan assay. Functional studies were performed using peripheral blood mononuclear cells, and cytokines were measured using enzyme-linked immunosorbent assay (ELISA). Dose-dependent production of IL-23 and IL-17 by B. burgdorferi could be observed. Interestingly, when IL-23 bioactivity was inhibited by a specific antibody against IL-23p19, IL-17 production was significantly downregulated. In contrast, production of gamma interferon (IFN-γ) was not affected after the blockade of IL-23 activity. Moreover, individuals bearing a single nucleotide polymorphism in the IL-23R gene (Arg381Gln) produced significantly less IL-17 after B. burgdorferi stimulation compared with that of the individuals bearing the wild type. Despite lower IL-17 production, the IL-23R gene polymorphism did not influence the development of chronic Lyme disease in a cohort of patients with Lyme disease. This study demonstrates that IL-23R signaling is needed for B. burgdorferi-induced IL-17 production in vitro and that an IL-23R gene SNP leads to impaired IL-17 production. However, the IL-23R gene polymorphism is not crucial for the pathogenesis of chronic Lyme.
Performance Analysis of Quasi-Orthogonal Space time turbo coded MIMO-OFDM System

: In wireless communication Multi Input Multi Output (MIMO) system increases the data rate and gives spacial diversity gain. MIMO in combination with Orthogonal Frequency Division Multiplexing (OFDM) becomes wideband transmission which enhances system capacity by resolving problem of Inter-Symbol Interference. Spacial diversity gain can be achieved by using space time block code without sacrificing bandwidth. In this paper, we proposed a Quasi-Orthogonal Space Time Block Code with Turbo Coding (QO-ST-TC) structure for MIMO-OFDM which gives full rate with coding gain. Also we have analysed QO-ST-TC for MIMO-OFDM over AWGN, Rayleigh and Rician channels and their effect on BER for high data rates have been presented. The simulation result shows QO-ST-TC for MIMO-OFDM system with 4X1 antenna configuration gives better performance in terms of BER.
Radiobiological investigations at tumor cell lines by exploiting chrono-biological aspects of chronological dose distributions

Using 31P-NMR spectroscopy the chronological behavior of the ATP-metabolism of the tumor spheroids C3H-MA, 9L-Gliome and the mono-layer L1210 has been analyzed via decrease of the {\beta}-peak. All three cell lines show characteristic periods, and a homeostatic control cannot be recognized. Essential components of these periods are circadian (i.e. one day), circa-semiseptan (i.e. 3.5 days) and circa-septan (i.e. one week). The determination of the survival fractions provides an optimum exploitation of radiation damages, when the ATP-concentration assumes a maximum value. This optimum is reached, when all three cycles exhibit the ATP maximum, which is only possible by accounting for the circa-septan rhythm. The goal of this study is to elaborate an optimal fractionation scheme with regard to the irradiation of tumors.
Wood Defect Detection using Grayscale Images and an Optimized Feature Set

In this paper we address the issue of detecting defects in wood using features extracted from grayscale images. The feature set proposed here is based on the concept of texture and it is computed from the co-occurrence matrices. The features provide measures of properties such as smoothness, coarseness, and regularity. Comparative experiments using a color image based feature set extracted from percentile histograms are carried to demonstrate the efficiency of the proposed feature set. Two different learning paradigms, neural networks and support vector machines, and a feature selection algorithm based on multi-objective genetic algorithms were considered in our experiments. The experimental results show that after feature selection, the grayscale image based feature set achieves very competitive performance for the problem of wood defect detection relative to the color image based features
Grasping intentions: from thought experiments to empirical evidence

Skepticism has been expressed concerning the possibility to understand others' intentions by simply observing their movements: since a number of different intentions may have produced a particular action, motor information—it has been argued—might be sufficient to understand what an agent is doing, but not her remote goal in performing that action. Here we challenge this conclusion by showing that in the absence of contextual information, intentions can be inferred from body movement. Based on recent empirical findings, we shall contend that: (1) intentions translate into differential kinematic patterns; (2) observers are especially attuned to kinematic information and can use early differences in visual kinematics to anticipate the intention of an agent in performing a given action; (3) during interacting activities, predictions about the future course of others' actions tune online action planning; (4) motor activation during action observation subtends a complementary understanding of what the other is doing. These findings demonstrate that intention understanding is deeply rooted in social interaction: by simply observing others' movements, we might know what they have in mind to do and how we should act in response.
A Comparison of List Scheduling Heuristics for Communication Intensive Task Graphs

List-based priority schedulers have long been the dominant class of static scheduling algorithms. Such heuristics have been predominantly based on the ''critical path, most immediate successors first'' CP MISF priority. The ability of this type of scheduler to handle increased levels of communication overhead is examined in this paper. Three of the more popular list scheduling heuristics, Hu's LSH and Kruatrachue's ISH and DSH, are subjected to a performance-based comparison, with results demonstrating their inadequacies in communication-intensive cases. WINSCHED, a Microsoft Windows tool developed by the Parallel Computing Research Laboratory, is also briefly presented. WINSCHED uses a number of list-based heuristics to schedule a parallel program represented as an enhanced directed acyclic graph EDAG on an arbitrary number of homogeneous parallel processors. It supports six distinct heuristics with or without consideration of communication costs and has six interconnection topologies built in.
Effect of a standardized nurse case-management telephone intervention on resource use in patients with chronic heart failure.

BACKGROUND Case management is believed to promote continuity of care and decrease hospitalization rates, although few controlled trials have tested this approach. OBJECTIVE To assess the effectiveness of a standardized telephonic case-management intervention in decreasing resource use in patients with chronic heart failure. METHODS A randomized controlled clinical trial was used to assess the effect of telephonic case management on resource use. Patients were identified at hospitalization and assigned to receive 6 months of intervention (n = 130) or usual care (n = 228) based on the group to which their physician was randomized. Hospitalization rates, readmission rates, hospital days, days to first rehospitalization, multiple readmissions, emergency department visits, inpatient costs, outpatient resource use, and patient satisfaction were measured at 3 and 6 months. RESULTS The heart failure hospitalization rate was 45.7% lower in the intervention group at 3 months (P =.03) and 47.8% lower at 6 months (P =.01). Heart failure hospital days (P =.03) and multiple readmissions (P =.03) were significantly lower in the intervention group at 6 months. Inpatient heart failure costs were 45.5% lower at 6 months (P =.04). A cost saving was realized even after intervention costs were deducted. There was no evidence of cost shifting to the outpatient setting. Patient satisfaction with care was higher in the intervention group. CONCLUSIONS The reduction in hospitalizations, costs, and other resource use achieved using standardized telephonic case management in the early months after a heart failure admission is greater than that usually achieved with pharmaceutical therapy and comparable with other disease management approaches.
The Role of Lateral Cortical Competition in Ocular Dominance Development

Lateral competition within a layer of neurons sharpens and localizes the response to an input stimulus. Here, we investigate a model for the activity dependent development of ocular dominance maps which allows to vary the degree of lateral competition. For weak competition, it resembles a correlation-based learning model and for strong competition, it becomes a self-organizing map. Thus, in the regime of weak competition the receptive fields are shaped by the second order statistics of the input patterns, whereas in the regime of strong competition, the higher moments and "features" of the individual patterns become important. When correlated localized stimuli from two eyes drive the cortical development we find (i) that a topographic map and binocular, localized receptive fields emerge when the degree of competition exceeds a critical value and (ii) that receptive fields exhibit eye dominance beyond a second critical value. For anti-correlated activity between the eyes, the second order statistics drive the system to develop ocular dominance even for weak competition, but no topography emerges. Topography is established only beyond a critical degree of competition.
“Near-miss” Reporting System Development and Implications for Human Subjects Protection

Abstract : Reviews of recent research-related fatalities have demonstrated that clinical research system failures likely contributed to the event. Current research safety-reporting mechanisms focus on individual protocols and are therefore less likely to detect system-level failures. The authors have implemented the "near-miss" reporting system for a general clinical research center to detect latent failure within the research environment. An identified research-related near-miss includes a research volunteer being mistakenly directed into an incorrect protocol. Before beginning the incorrect study, the participant recognized that the protocol did not coincide with the consent document and the error was detected without harm. Lack of both reliable research-participant tracking and verification programs was believed to be an important latent failure associated with the research unit. Collecting research unit-specific information on potential safety concerns could identify system failures that might not be identifiable through traditional human subject protection programs.
Agreement and consistency without knowing the number of processes

We study in this paper three classical problems of fault tolerance in a system where the set of processes is unknown. These three problems are: the consensus, the implementation of atomics registers and the eventual leader election. For this, we consider different models. In the first one, the communication and the processes are asynchronous. In this model, these three problems could not be solved, but we define the weakest failure detectors needed to solve them. We consider then a model where the processes and the communication are synchronous, which permit to realize synchronous rounds. In this case, the processes are created dynamically and may have crash failures. We prove that, if for all rounds at least one process is alive in two consecutive rounds, the consensus and the implementation of registers could be solved. The eventual leader election, which is in this case less interesting, can be solved also. Between these two extremities, we focus on the case where the communications are asynchronous. Concerning processes, we assume that, onetime a process is created, it remains alive forever. In this case, if the leader election is easy, the consensus and the implementation of registers are impossible. If we augment the system with the failure detector (Σ) which permits to realize a quorum, consensus and implementation of atomic register can be solved. At the end, we consider a partially synchronous model and we prove that the consensus and the implementation of atomic register could be solved if there exists a process that can communicate synchronously with the other processes.
The Study of Object-Oriented Motor Imagery Based on EEG Suppression

Motor imagery is a conventional method for brain computer interface and motor learning. To avoid the great individual difference of the motor imagery ability, object-oriented motor imagery was applied, and the effects were studied. Kinesthetic motor imagery and visual observation were administered to 15 healthy volunteers. The EEG during cue-based simple imagery (SI), object-oriented motor imagery (OI), non-object-oriented motor imagery (NI) and visual observation (VO) was recorded. Study results showed that OI and NI presented significant contralateral suppression in mu rhythm (p < 0.05). Besides, OI exhibited significant contralateral suppression in beta rhythm (p < 0.05). While no significant mu or beta contralateral suppression could be found during VO or SI (p > 0.05). Compared with NI, OI showed significant difference (p < 0.05) in mu rhythm and weak significant difference (p = 0.0612) in beta rhythm over the contralateral hemisphere. The ability of motor imagery can be reflected by the suppression degree of mu and beta frequencies which are the motor related rhythms. Thus, greater enhancement of activation in mirror neuron system is involved in response to object-oriented motor imagery. The object-oriented motor imagery is favorable for improvement of motor imagery ability.
Scattering database in the millimeter and submillimeter wave range of 100–1000 GHz for nonspherical ice particles

[1] The inference of ice cloud properties from spaceborne sensors is sensitive to the retrieval algorithms and satellite sensors used. To approach a better understanding of ice cloud properties, it is necessary to combine satellite measurements from multiple platforms and sensors operating in visible, infrared, and millimeter and submillimeter-wave regions of the electromagnetic spectrum. The single-scattering properties of ice particles with consistent ice particle models are the basis for estimating the optical and microphysical properties of ice clouds from multiple satellite sensors. In this study, the single-scattering properties (extinction efficiency, absorption efficiency, single-scattering albedo, asymmetry factor, and scattering phase matrix) of nonspherical ice particles, assumed to be hexagonal solid and hollow columns, hexagonal plates, 3D bullet rosettes, aggregates, and droxtals, are computed from the discrete dipole approximation method for 21 millimeter and submillimeter-wave frequencies ranging from 100 to 1000 GHz. A database of the single-scattering properties of nonspherical ice particles are developed for 38 particle sizes ranging from 2 to 2000 μm in terms of particle maximum dimension. The bulk scattering properties of ice clouds consisting of various ice particles, which are the fundamental to the radiative transfer in ice clouds, are developed on the basis of a set of 1119 particle size distributions obtained from various field campaigns.
Evaluating the Safety and Efficiency of a CPOE System for Continuous Medication Infusions in a Pediatric ICU

Critically ill children often require continuous intravenous infusions of life-supporting medications. The complexity of ordering such infusions makes this an error prone process, and such errors can result in serious adverse events. A CPOE system was developed and evaluated to assess its impact on the safety and efficiency of prescribing continuous medication infusions.
In‐stream geomorphic structures as drivers of hyporheic exchange

Common in‐stream geomorphic structures such as debris dams and steps can drive hyporheic exchange in streams. Exchange is important for ecological stream function, and restoring function is a goal of many stream restoration projects, yet the connection between in‐stream geomorphic form, hydrogeologic setting, and hyporheic exchange remains inadequately characterized. We used the models HEC‐RAS, MODFLOW, and MODPATH to simulate coupled surface and subsurface hydraulics in a gaining stream containing a single in‐stream geomorphic structure and to systematically evaluate the impact of fundamental characteristics of the structure and its hydrogeologic setting on induced exchange. We also conducted a field study to support model results. Model results indicated that structure size, background groundwater discharge rate, and sediment hydraulic conductivity are the most important factors determining the magnitude of induced hyporheic exchange, followed by geomorphic structure type, depth to bedrock, and channel slope. Model results indicated channel‐spanning structures were more effective at driving hyporheic flow than were partially spanning structures, and weirs were more effective than were steps. Across most structure types, downwelling flux rate increased linearly with structure size, yet hyporheic residence time exhibited nonlinear behavior, increasing quickly with size at low structure sizes and declining thereafter. Important trends in model results were observed at the field site and also interpreted using simple hydraulic theory, thereby supporting the modeling approach and clarifying underlying processes.
Evaluation of computer capacity for P5 intel processors

We propose application of method, based on notion of computer capacity, for evaluating the performance of computer systems. Computer capacity is based on the number of different tasks that can be executed in a given time. This characteristic determined only by the computer architecture, and it can be easily computed at the design stage and used for optimizing architectural decisions.