Miracle-dz/UniFAR-FTUs huggingface dataset:
A Heterogeneous High Speed Wireless Body Sensor Network Based on SC-UWB and ZIGBEE

Some new medical applications, such as wireless endoscopy system for the diagnoses of whole human digestive tract and real-time endoscopic image monitoring, demand high speed transmission in wireless body sensor network (WBSN). This paper proposes a heterogeneous high speed wireless body sensor network based on ZIGBEE and single carrier ultra wideband (SC-UWB). Our system can choose high speed mode or low speed mode automatically according to the type of data source. Several measures are taken to miniaturize the nodes, lower the system complexity and reduce power consumption, offering system users great mobility and flexibility. We develop and validate a prototype WBSN, supporting four real-time high speed video streams and six low speed sensor data. The performance of the developed system is experimentally evaluated using prototype WBSN, and the ASIC has been designed and fabricated in the standard 0.18im CMOS technology, occupying a die area of 3.0mm * 3.0mm and consuming a dynamic power of 43.4280mw.
Compact analysis of 3D bipedal gait using geometric dynamics of simplified models

The large number of degrees of freedom in legged robots give rise to complicated dynamics equations. Analyzing these equations or using them for control can therefore be a difficult and non-intuitive task. A simplification of the complex multi-body dynamics can be achieved by instantaneously reducing it to an equivalent single inertial entity called the locked inertia or the composite rigid body inertia.
Incidence of Atazanavir-associated Hyperbilirubinemia in Korean HIV Patients: 30 Months Follow-up Results in a Population with Low UDP-glucuronosyltransferase1A1*28 Allele Frequency

Hyperbilirubinemia is frequently observed in Caucasian HIV patients treated with atazanavir. UDP-glucuronosyltransferase 1A1 polymorphism, UGT1A1*28, which is associated with atazanavir-induced hyperbilirubinemia, is less common in Asians than in Caucasians. However, little is known about the incidence of atazanavir-associated hyperbilirubinemia in Asian populations. Our objective was to investigate the incidence of and tolerability of atazanavir-associated hyperbilirubinemia in Korean HIV patients. The prevalence and cumulative incidence of atazanavir-associated hyperbilirubinemia and UGT1A1*28 allele frequency was investigated in 190 Korean HIV-infected patients treated with atazanavir 400 mg per day. The UGT1A1*28 were examined by direct sequencing of DNA from peripheral whole blood. The UGT1A1*28 allele frequency was 11%. The cumulative incidence of any grade of hyperbilirubinemia was 77%, 89%, 98%, and 100%, at 3, 12, 24, and 30 months, respectively. The cumulative incidence of severe (grade 3-4) hyperbilirubinemia was 21%, 41%, 66%, and 75%, at 3, 12, 24, and 30 months, respectively. However, the point prevalence of severe hyperbilirubinemia did not increase with time and remained around 25%. Our data suggest that atazanavir-associated hyperbilirubinemia is common but transient in a population with low UGT1A1*28 allele frequency.
Combining Behavior Models to Secure Email Systems

We introduce the Email Mining Toolkit (EMT), a system that implements behavior-based methods to improve security of email systems. Behavior models of email flows and email account usage may be used for a variety of detection tasks. Behavior-based models are quite different from "content-based" models in common use today, such as virus scanners. We evaluate the soundness of these techniques for the detection of the onset of viral propagations. The results achieved for the detection of the onset of viral propagations suggest email delivery should be egress rate limited stored for a while and then forwarded or a record of recently delivered emails should be kept in order to develop sufficient statistics to verify a propagation is ongoing. EMT can form part of a larger security platform that deals with email security issues in general. We present the variety of EMT models implemented to date and suggest other security tasks that may benefit for its detection capabilities.
Recursive Tensor Subspace Tracking for Dynamic Brain Network Analysis

Recent years have seen a rapid growth in computational methods for a better understanding of functional connectivity brain networks constructed from neuroimaging data. Most of the current work has been limited to static functional connectivity networks (FCNs), where the relationships between different brain regions is assumed to be stationary. Recent work indicates that functional connectivity is a dynamic process over multiple time scales and the dynamic formation and dissolution of connections plays a key role in cognition, memory, and learning. In the proposed work, we introduce a tensor-based approach for tracking dynamic functional connectivity networks. The proposed framework introduces a robust low-rank+sparse structure learning algorithm for tensors to separate the low-rank community structure of connectivity networks from sparse outliers. The proposed framework is used to both identify change points, where the low-rank community structure of the FCN changes significantly, and summarize this community structure within each time interval. The proposed framework is applied to the study of cognitive control from electroencephalogram data during a Flanker task.
Implications of earthquake focal mechanisms for the frictional strength of the San Andreas fault system

Abstract Analysis of stress orientation data from earthquake focal plane mechanisms adjacent to the San Andreas fault in the San Francisco Bay area and throughout southern California indicates that the San Andreas fault has low frictional strength. In both regions, available stress orientation data indicate low levels of shear stress on planes parallel to the San Andreas fault. In the San Francisco Bay area, focal plane mechanisms from within 5 km of the San Andreas and Calaveras fault zones indicate a direction of maximum horizontal compression nearly orthogonal to both subvertical, right-lateral strike-slip faults, a result consistent with those obtained previously from studies of aftershocks of the 1989 Loma Prieta earthquake. In southern California, the direction of maximum horizontal stress near the San Andreas fault is nearly everywhere at a high angle to it, similarly indicating that the fault has low frictional strength. Thus, along these two major sections of the San Andreas fault (which produced great earthquakes in southern California in 1857 and central and northern California in 1906), the frictional strength of the fault is much lower than expected for virtually any common rock type if near-hydrostatic pore pressure exists at depth, and so low as to produce no discernible shear-heating anomaly. Our findings in southern California are in marked contrast to recent suggestions by Hardebeck & Hauksson that stress orientations rotate systematically within c. 25 km of the fault, which prompted a high frictional strength model of the San Andreas fault. As we utilize the same stress data and inversion technique as Hardebeck & Hauksson, we interpret the difference in our findings as being related to the way in which we group focal plane mechanisms to find the best-fitting stress tensor. We suggest that the Hardebeck & Hauksson gridding scheme may not be consistent with the requisite a priori assumption of stress homogeneity for each set of earthquakes. Finally, we find no evidence of regional stress changes associated with the occurrence of the 1992 M7.4 Landers earthquake, again in apparent contradiction with the findings of Hardebeck & Hauksson.
Impact of Microbiology Practice on Cumulative Prevalence of Respiratory Tract Bacteria in Patients with Cystic Fibrosis

ABSTRACT Investigators participating in the Epidemiologic Study of Cystic Fibrosis project began to collect microbiological, pulmonary, and nutritional data on cystic fibrosis (CF) patients at 180 North American sites in 1994. Part of this study was a survey undertaken in August 1995 to determine microbiology laboratory practices with regard to pulmonary specimens from CF patients. The survey included a section on test ordering, completed by a site clinician, and a section on test performance and reporting, completed by each site’s clinical microbiology laboratory staff. Seventy-nine percent of the surveys were returned. There was intersite consistency of microbiology laboratory practices in most cases. The majority of sites follow most of the CF Foundation consensus conference recommendations. There were differences in the frequency at which specimens for culture were obtained, in the use of selective media for Staphylococcus aureus andHaemophilus influenzae, and in the use of a prolonged incubation for Burkholderia cepacia. These variations in practice contribute to prevalence differences among sites and may result in differences in clinical care.
Accuracy improvement for 3D shape measurement system based on gray-code and phase-shift structured light projection

Accuracy is one of the most important features for a 3D shape measurement system based on gray-code and phase-shift structured light projection and it requires accurate modeling and calibration of the camera and projector that consist of the system. In this paper, a new method is proposed to reconstruct the 3D object without the inverse projector model, thus make it possible to use a more accurate projector model considering high to 4th order radial and tangential lens distortion. Moreover, we propose a new system calibration method which can calibrate the camera and projector simultaneously based on the same reference points to eliminate the disadvantage of the conventional two-step calibration methods that the accuracy of the projector calibration is always influenced by the camera calibration error. The experiments compare the performance of our proposed model and calibration method with the conventional ones and the results are presented.
Investigating the climate impacts of global land cover change in the community climate system model

Recently, (Pitman et al., 2009 ) found a wide range of bio‐geophysical climate impacts from historical land cover change when modelled in a suite of current global climate models (GCMs). The bio‐geophysical climate impacts of human land cover change, however, have been investigated by a wide range of general circulation modelling, regional climate modelling, and observational studies. In this regard the IPCC 4th assessment report specifies radiative cooling of 0.2 W/m2 as the dominant global impact of human land cover change since 1750, but states this has a low to medium level of scientific understanding. To further contribute to the understanding of the possible climatic impacts of anthropogenic land cover change, we have performed a series of land cover change experiments with the community land model (CLM) within the community climate system model (CCSM). To do this we have developed a new set of potential vegetation land surface parameters to represent land cover change in CLM. The new parameters are consistent with the potential vegetation biome mapping of (Ramankutty and Foley, 1999 ), with the plant functional types (PFTs) and plant phenology consistent with the current day Moderate Resolution Imaging Spectroradiometer (MODIS) land surface parameters of (Lawrence and Chase, 2007 ). We found that land cover change in CCSM resulted in widespread regional warming of the near surface atmosphere, but with limited global impact on near surface temperatures. The experiments also found changes in precipitation, with drier conditions regionally, but with limited impact on average global precipitation. Analysis of the surface fluxes in the CCSM experiments found the current day warming was predominantly driven by changes in surface hydrology through reduced evapo‐transpiration and latent heat flux, with the radiative forcing playing a secondary role. We show that these finding are supported by a wide range of observational field studies, satellite studies and regional and global climate modelling studies. Copyright © 2010 Royal Meteorological Society
Adaptive learning based human activity and fall detection using fuzzy frequent pattern mining

Human activity recognition (HAR) has gained a lot of significance in monitoring the health of people, especially to detect fall among elderly people who live independently. This project proposes a novel method for recognizing activities and detecting fall of a person using body-worn sensors. Traditional algorithms like Naïve Bayes classifier and Support Vector Machine are mainly used for activity classification. However, these systems fail to capture significant association that exists between interesting patterns. Existing accelerometer based wearable systems are not sufficient to determine the fall of a person. Hence, a Fuzzy Associative Classification based Human Activity Recognition (FAC-HAR) system is proposed to overcome the aforementioned drawbacks in detecting abnormal status of a person. The proposed (FAC-HAR) system uses three different sensors namely heartbeat, breathing rate and accelerometer and employs fuzzy clustering and associative classification for abnormality detection. The proposed system introduces a novel learning mechanism is to improve classification accuracy. A classification accuracy of 92% is achieved with the proposed fuzzy frequent pattern mining based human activity recognition.
CEO reputation and corporate cash holdings

We investigate whether and to what extent CEO reputation affects both the level and the value of corporate cash holdings for US firms. We show that CEO reputation has a negative impact on the level of corporate cash holdings: the most reputable CEOs hold approximately 17% less cash than the least reputable CEOs. Furthermore, we find that the value of corporate cash holdings held by the most reputable CEOs is much higher than that held by the least reputable CEOs: the difference is approximately 44 cents per dollar for the average firm in our sample. In addition, we also find that the value of one dollar of excess cash holdings held by the most reputable CEOs is worth 77 cents more than that held by the least reputable CEOs. Collectively, our findings provide new evidence in support of prior theories arguing that CEO reputation adds value to the firm’s assets. Meanwhile, our findings also suggest that the agency problem could potentially be mitigated by CEO reputation.
Dietary fat intake as risk factor for the development of diabetes: multinational, multicenter study of the Mediterranean Group for the Study of Diabetes (MGSD).

OBJECTIVE To investigate the role of dietary factors in the development of type 2 diabetes. RESEARCH DESIGN AND METHODS In the context of the Multinational MGSD Nutrition Study, three groups of subjects were studied: 204 subjects with recently diagnosed diabetes (RDM), 42 subjects with undiagnosed diabetes (UDM) (American Diabetes Association criteria-fasting plasma glucose [FPG] > or =126 mg/dl), and 55 subjects with impaired fasting glucose (IFG) (FPG > or =110 and <126 mg/dl). Each group was compared with a control group of nondiabetic subjects, matched one by one for center, sex, age, and BMI. Nutritional habits were evaluated by a dietary history method, validated against the 3-day diet diary. In RDM, the questionnaire referred to the nutritional habits before the diagnosis of diabetes. Demographic data were collected, and anthropometrical and biochemical measurements were taken. RESULTS Compared with control subjects, RDM more frequently had a family history of diabetes (49.0 vs. 14.2%; P < 0.001), exercised less (exercise index 53.5 vs. 64.4; P < 0.01), and more frequently had sedentary professions (47.5 vs. 27.4%; P < 0.001). Carbohydrates contributed less to their energy intake (53.5 vs. 55.1%; P < 0.05), whereas total fat (30.2 +/- 0.5 vs. 27.8 +/- 0.5%; P < 0.001) and animal fat (12.2 +/- 0.3 vs. 10.8 +/- 0.3%; P < 0.01) contributed more and the plant-to-animal fat ratio was lower (1.5 +/- 0.1 vs. 1.8 +/- 0.1; P < 0.01). UDM more frequently had a family history of diabetes (38.1 vs. 19.0%; P < 0.05) and sedentary professions (58.5 vs. 34.1%; P < 0.05), carbohydrates contributed less to their energy intake (47.6 +/- 1.7 vs. 52.8 +/- 1.4%; P < 0.05), total fat (34.7 +/- 1.5 vs. 30.4 +/- 1.2%; P < 0.05) and animal fat (14.2 +/- 0.9 vs. 10.6 +/- 0.7%; P < 0.05) contributed more, and the plant-to-animal fat ratio was lower (1.6 +/- 0.2 vs. 2.3 +/- 0.4; P < 0.05). IFG differed only in the prevalence of family history of diabetes (32.7 vs. 16.4%; P < 0.05). CONCLUSIONS Our data support the view that increased animal fat intake is associated with the presence of diabetes.
Interior-point Algorithms: First Year Progress Report on Nsf Grant Ddm-8922636 1.1. Column Generation 1.2. Algorithm Termination

1. Introduction This document is the rst year progress report on the optimization projects funded by NSF Grant DDM-8922636. The projects principally include the interior-point algorithms for linear programming (LP), quadratic programming (QP), linear complementarity problem (LCP), and nonlinear programming (NP). The anticipated discoveries and advances resulting from the project include the following. While various interior point algorithms have been developed for LP (e.g., 12]]15]]17]]23]), they all share a common drawback: they require the complete knowledge of the full constraint system. In contrast, the (revised) simplex and ellipsoid methods do not require the complete knowledge of the system in advance. These methods allow for column generation|the addition of constraints to the system only when needed. This technique permits a great deal of exibility for solving optimization problems in which the number of constraints is either very large or not explicitly known. One main topic of the project is to develop interior-point algorithms that allow column generation and are implementable with practical eeciency. This will advance the practical solvability for a large class of optimization problems, such as semi-innnite programming, convex nonlinear programming, and combinatorial optimization. Unlike the simplex method for LP which terminates in nite time 5], interior-point algorithms are continuous optimization algorithms that generate a solution sequence converging to the optimal solution facet in innnite time. If the data for the LP is integral or rational, an argument is made that after a worst-case time bound the solution can be rounded from the latest approximate solution. However, several questions naturally arise. First, if the data is real, how do we achieve nite convergence (i.e., nd a solution in nite time)? Second, regardless of the data's status, can we utilize a practical, cost-eeective test to identify an solution so that the algorithm can be terminated before the worse-case time bound? Here, the solution may be given as a mathematical closed form using basic arithmetic 1
Calmodulin Regulates Human Ether à Go-Go 1 (hEAG1) Potassium Channels through Interactions of the Eag Domain with the Cyclic Nucleotide Binding Homology Domain*

The ether à go-go family of voltage-gated potassium channels is structurally distinct. The N terminus contains an eag domain (eagD) that contains a Per-Arnt-Sim (PAS) domain that is preceded by a conserved sequence of 25–27 amino acids known as the PAS-cap. The C terminus contains a region with homology to cyclic nucleotide binding domains (cNBHD), which is directly linked to the channel pore. The human EAG1 (hEAG1) channel is remarkably sensitive to inhibition by intracellular calcium (Ca2+i) through binding of Ca2+-calmodulin to three sites adjacent to the eagD and cNBHD. Here, we show that the eagD and cNBHD interact to modulate Ca2+-calmodulin as well as voltage-dependent gating. Sustained elevation of Ca2+i resulted in an initial profound inhibition of hEAG1 currents, which was followed by a phase when current amplitudes partially recovered, but activation gating was slowed and shifted to depolarized potentials. Deletion of either the eagD or cNBHD abolished the inhibition by Ca2+i. However, deletion of just the PAS-cap resulted in a >15-fold potentiation in response to elevated Ca2+i. Mutations of residues at the interface between the eagD and cNBHD have been linked to human cancer. Glu-600 on the cNBHD, when substituted with residues with a larger volume, resulted in hEAG1 currents that were profoundly potentiated by Ca2+i in a manner similar to the ΔPAS-cap mutant. These findings provide the first evidence that eagD and cNBHD interactions are regulating Ca2+-dependent gating and indicate that the binding of the PAS-cap with the cNBHD is required for the closure of the channels upon CaM binding.
The relationship between body mass index and per cent body fat in the severely obese

Background: International standards define clinical obesity according to body mass index (BMI) without reference to age and gender. Recent studies among adults in the normal to mildly obese BMI ranges have shown that the relationship between BMI and per cent body fat (% fat) differs by age and gender. The extent to which age and gender affect the relationship between BMI and % fat among more severely obese individuals is less known.
Annotating BI visualization dashboards: needs & challenges

Annotations have been identified as an important aid in analysis record-keeping and recently data discovery. In this paper we discuss the use of annotations on visualization dashboards, with a special focus on business intelligence (BI) analysis. In-depth interviews with experts lead to new annotation needs for multi-chart visualization systems, on which we based the design of a dashboard prototype that supports data and context aware annotations. We focus particularly on novel annotation aspects, such as multi-target annotations, annotation transparency across charts and data dimension levels, as well as annotation properties such as lifetime and validity. Moreover, our prototype is built on a data layer shared among different data-sources and BI applications, allowing cross application annotations. We discuss challenges in supporting context aware annotations in dashboards and other visualizations, such as dealing with changing annotated data, and provide design solutions. Finally we report reactions and recommendations from a different set of expert users.
Dynamic Regulation of T Cell Immunity by CD431

During a viral response, Ag-specific effector T cells show dramatically increased binding by the mAb 1B11 and the lectin peanut agglutinin (PNA). We investigated the contribution of CD43 expression to 1B11 and PNA binding as well as its role in generation and maintenance of a CD8 T cell response. Analysis of CD43−/− mice revealed no increased 1B11 binding and reduced PNA binding on virus-specific CD8 T cells from −/− mice compared with +/+ mice. Furthermore, we examined the role of CD43 in the kinetics of an immune response. We show that CD43 expression modestly effects generation of a primary virus-specific CD8 T cell response in vivo but plays a more significant role in trafficking of CD8 T cells to tissues such as the brain. More interestingly, CD43 plays a role in the contraction of the immune response, with CD43−/− mice showing increased numbers of Ag-specific CD8 T cells following initial expansion. Following the peak of expansion, Ag-specific CD8 T cells from −/− mice show similar proliferation but demonstrate increased Bcl-2 levels and decreased apoptosis of Ag-specific effector CD8 T cells in vitro. Consistent with a delay in the down-modulation of the immune response, following chronic viral infection CD43−/− mice show increased morbidity. These data suggest a dynamic role of CD43 during an immune response: a positive regulatory role in costimulation and trafficking of T cells to the CNS and a negative regulatory role in the down-modulation of an immune response.