Miracle-dz/UniFAR-FTUs huggingface dataset:
Frank-ter Haar Syndrome Protein Tks4 Regulates Epidermal Growth Factor-dependent Cell Migration*

Background: The mechanism by which Tks4 regulates actin cytoskeleton is largely unknown. Results: In response to EGF treatment, Tks4 is tyrosine-phosphorylated and associated with the EGF receptor. Conclusion: The results provide a new mechanism of regulating cell migration. Significance: Tks4 can be targeted in regulation of tumor cell migration. Mutations in the SH3PXD2B gene coding for the Tks4 protein are responsible for the autosomal recessive Frank-ter Haar syndrome. Tks4, a substrate of Src tyrosine kinase, is implicated in the regulation of podosome formation. Here, we report a novel role for Tks4 in the EGF signaling pathway. In EGF-treated cells, Tks4 is tyrosine-phosphorylated and associated with the activated EGF receptor. This association is not direct but requires the presence of Src tyrosine kinase. In addition, treatment of cells with LY294002, an inhibitor of PI 3-kinase, or mutations of the PX domain reduces tyrosine phosphorylation and membrane translocation of Tks4. Furthermore, a PX domain mutant (R43W) Tks4 carrying a reported point mutation in a Frank-ter Haar syndrome patient showed aberrant intracellular expression and reduced phosphoinositide binding. Finally, silencing of Tks4 was shown to markedly inhibit HeLa cell migration in a Boyden chamber assay in response to EGF or serum. Our results therefore reveal a new function for Tks4 in the regulation of growth factor-dependent cell migration.
OctoSLAM: A 3D mapping approach to situational awareness of unmanned aerial vehicles

The focus of this paper is on situational awareness of airborne agents capable of 6D motion, in particular multi-rotor UAVs. We propose the fusion of 2D laser range finder, altitude, and attitude sensor data in order to perform simultaneous localization and mapping (SLAM) indoors. In contrast to other planar 2D laser range finder based SLAM approaches, we perform SLAM on a 3D instead of a 2D map. To represent the 3D environment an octree based map is used. Our scan registration algorithm is derived from Hector SLAM. We evaluate the performance of our system in simulation and on a real multirotor UAV equipped with a 2D laser range finder, inertial measurement unit, and altitude sensor. The results show significant improvement in the localization and representation accuracy over current 2D map SLAM methods. The system is implemented using Willow Garage's robot operating system.
'I never really discuss that with my clinician': US consumer perspectives on the place of culture in behavioural healthcare

Racial and ethnic disparities in healthcare have been documented in several seminal government reports. As part of a state-wide initiative to identify and eliminate behavioural health disparities, 22 focus groups were held with diverse cultural groups. These groups explored participants’ experiences of receiving publicly funded care and the ways in such care did or did not incorporate their cultural beliefs. Analyses revealed seven themes, namely positive experiences with care, barriers and bridges to trust, issues not discussed in treatment, stereotyping and negative experiences with care, language issues,persistent self-advocacy as a means of getting needs met, and clinician and agency recommendations. The findings of this research highlight the complex and dynamic role of race, ethnicity and culture in the helping relationship and in the development of services and systems that are responsive to the worldviews and values of diverse groups.
The effect of mood induction and language of testing on bilingual creativity

This study explores the hypothesis that language of testing and mood states can influence creativity in bilinguals. Arabic–English bilingual speakers were induced into positive or negative mood states using film clips and recall-of-events procedures. Then, participants’ creativity was assessed with the Abbreviated Torrance Test for Adults. Participants were tested in either English or Arabic. A Picture Naming Test revealed English as participants’ stronger language and Arabic as their weaker language. Testing in English was found to enhance verbal fluency and originality, as compared to testing in Arabic. Most importantly, an interactive effect of induction (positive, negative) and language of testing (English, Arabic) on creativity emerged. The results revealed two conditions beneficial for participants’ nonverbal originality: a positive mood state when tested in English and a negative mood state when tested in Arabic. These results are discussed in light of the interactive effect of mood induction and linguistic context (stronger vs. weaker) on an individual's creativity.
Spatial Analyses of Periodontal Data Using Conditionally Autoregressive Priors Having Two Classes of Neighbor Relations

Attachment loss, the extent of a tooth's root (in millimeters) that is no longer attached to surrounding bone by periodontal ligament, is often used to measure the current state of a patient's periodontal disease and monitor disease progression. Attachment loss data can be analyzed using a conditionally autoregressive (CAR) prior distribution that smooths fitted values toward neighboring values. However, it may be desirable to have more than one class of neighbor relation in the spatial structure, so the different classes of neighbor relations can induce different degrees of smoothing. For example, we may wish to allow smoothing of neighbor pairs bridging the gap between teeth to differ from smoothing of pairs that do not bridge such gaps. Adequately modeling the spatial structure may improve the monitoring of periodontal disease progression. This article develops a two-neighbor-relation CAR model to handle this situation and presents associated theory to help explain the sometimes unusual posterior distributions of the parameters controlling the different types of smoothing. The posterior of these smoothing parameters often has long upper tails, and its shape can change dramatically depending on the spatial structure. Like previous authors, we show that the prior distribution on these parameters has little effect on the posterior of the fixed effects but has a marked influence on the posterior of both the random effects and the smoothing parameters. Our analysis of attachment loss data also suggests that the spatial structure itself varies between individuals.
Supporting the writing of reports in a hierarchical organization

In many hierarchical companies, reports from several independent groups must be merged to form a single, company-wide report. This paper describes a process and system for creating and structuring such reports and for propagating contributions up the organization. The system has been in regular use, in-house, by about 30 users for over a year to create monthly status reports. Our experiences indicate that it is possible to change a monthly reporting practice so that the system is easy to use, improves the quality of the written report, fosters collaboration across projects and creates a corporate memory for the company. These results were achieved as a consequence of our design effort to directly support the hierarchical and collaborative process of creating and assembling the report within the organization. User feedback has led to many improvements in the usability and functionality of the system. Further enhancements using information retrieval and text summarization techniques are in progress.
Cluster Based Hierarchical Routing Protocol for Wireless Sensor Network

The efficient use of energy source in a sensor node is most desirable criteria for prolong the life time of wireless sensor network. In this paper, we propose a two layer hierarchical routing protocol called Cluster Based Hierarchical Routing Protocol (CBHRP). We introduce a new concept called head-set, consists of one active cluster head and some other associate cluster heads within a cluster. The head-set members are responsible for control and management of the network. Results show that this protocol reduces energy consumption quite significantly and prolongs the life time of sensor network as compared to LEACH.
Exceptions to the Rule? Exploring the Use of Overrides in Detention Risk Assessment

The Juvenile Detention Alternatives Initiative (JDAI) aims to reduce the use of predispositional detention for juveniles. One core strategy of JDAI is the use of risk assessment instruments to ensure that detention decisions are made objectively. These instruments allow for mandatory and discretionary overrides based on statutory guidelines, aggravating factors, or mitigating factors. This study investigates the use of overrides in a jurisdiction that utilizes the JDAI model. Offense seriousness, prior record, history of escape/runaway, and age were consistent predictors of overrides. African Americans were less likely to receive mitigating overrides, and females were less likely to receive mandatory overrides.
Candidate Genes for the Hypoxic Tumor Phenotype 1

In this study, we have analyzed changes induced by hypoxia at the transcriptional level of genes that could be responsible for a more aggressive phenotype. Using a series of DNA array membranes, we identified a group of hypoxia-induced genes that included plasminogen activator inhibitor-1 (PAI-1), insulin-like growth factor-binding protein 3 (IGFBP-3), endothelin-2, low-density lipoprotein receptor-related protein (LRP), BCL2-interacting killer (BIK), migration-inhibitory factor (MIF), matrix metalloproteinase-13 (MMP-13), fibroblast growth factor-3 (FGF-3), GADD45, and vascular endothelial growth factor (VEGF). The induction of each gene was confirmed by Northern blot analysis in two different squamous cell carcinoma-derived cell lines. We also analyzed the kinetics of PAI-1 induction by hypoxia in more detail because it is a secreted protein that may serve as a useful molecular marker of hypoxia. On exposure to hypoxia, there was a gradual increase in PAI-1 mRNA between 2 and 24 h of hypoxia followed by a rapid decay after 2 h of reoxygenation. PAI-1 levels were also measured in the serum of a small group of head and neck cancer patients and were found to correlate with the degree of tumor hypoxia found in these patients.
Reassessing myoelectric control: is it time to look at alternatives?

T he future is bright for myoelectric prostheses", proclaimed a 1985 review on the subject. ' "Progress in the next five years will exceed all past accomplishments [and] artificial elbows and knees, under natural control of the human, will become commonplace", said a 1977 review.2 But has the second prediction come to pass? There are those who assert that it has not. From the time of its arrival on the rehabilitation scene, some 20 years ago, myoelectric control has been presented as a tremendous success story in the making. "Myoelectric control was so exciting when it first came out", recalls Micheal D. O'Riain, PhD, director of rehabilitation engineering at the Royal Ottawa Regional Rehabilitation Centre. "It seemed such a simple thing, that you could tap right into [the neural signals to] muscles that were no longer functional. All you had to do was train the person to make coordinated muscle contractions and it would become automatic. " So promising was it, in fact, that the ultimate success of the new control strategy was taken for granted. Consequently, says O'Riain, efforts were focused on refining the technique "rather than examining whether or not it was a good idea in the first place".
Research on illegal E-mails recognition Based on Bayesian Formula and Statistical Decision Tree

This paper introduces an algorithm based on Bayesian statistics and statistical decision tree (SDT) to recognize illegal E-mails. At first, Bayesian statistics can filter some specific words which are often used in illegal E-mails. Then, SDT can determine illegal E-mails by Semanteme analyse. After those two process, the illegal E-mails can also be easily determined and the recognition rate of illegal E-mails has been improved
Preaxial polydactyly: interactions among ETV, TWIST1 and HAND2 control anterior-posterior patterning of the limb

Preaxial polydactyly (PPD) is a common limb-associated birth defect characterized by extra digit(s) in the anterior autopod. It often results from ectopic sonic hedgehog (Shh) expression in the anterior limb bud. Although several transcription factors are known to restrict Shh expression to the posterior limb bud, how they function together remains unclear. Here we provide evidence from mouse conditional knockout limb buds that the bHLH family transcription factor gene Twist1 is required to inhibit Shh expression in the anterior limb bud mesenchyme. More importantly, we uncovered genetic synergism between Twist1 and the ETS family transcription factor genes Etv4 and Etv5 (collectively Etv), which also inhibit Shh expression. Biochemical data suggest that this genetic interaction is a result of direct association between TWIST1 and ETV proteins. Previous studies have shown that TWIST1 functions by forming homodimers or heterodimers with other bHLH factors including HAND2, a key positive regulator of Shh expression. We found that the PPD phenotype observed in Etv mutants is suppressed by a mutation in Hand2, indicative of genetic antagonism. Furthermore, overexpression of ETV proteins influences the dimerization of these bHLH factors. Together, our data suggest that through biochemical interactions, the Shh expression regulators ETV, TWIST1 and HAND2 attain a precise balance to establish anterior-posterior patterning of the limb.
Multi-objective Bandits: Optimizing the Generalized Gini Index

We study the multi-armed bandit (MAB) problem where the agent receives a vectorial feedback that encodes many possibly competing objectives to be optimized. The goal of the agent is to find a policy, which can optimize these objectives simultaneously in a fair way. This multi-objective online optimization problem is formalized by using the Generalized Gini Index (GGI) aggregation function. We propose an online gradient descent algorithm which exploits the convexity of the GGI aggregation function, and controls the exploration in a careful way achieving a distribution-free regret $\tilde{\bigO} (T^{-1/2} )$ with high probability. We test our algorithm on synthetic data as well as on an electric battery control problem where the goal is to trade off the use of the different cells of a battery in order to balance their respective degradation rates.
Defining and Setting National Goals for Cardiovascular Health Promotion and Disease Reduction: The American Heart Association's Strategic Impact Goal Through 2020 and Beyond

This document details the procedures and recommendations of the Goals and Metrics Committee of the Strategic Planning Task Force of the American Heart Association, which developed the 2020 Impact Goals for the organization. The committee was charged with defining a new concept, cardiovascular health, and determining the metrics needed to monitor it over time. Ideal cardiovascular health, a concept well supported in the literature, is defined by the presence of both ideal health behaviors (nonsmoking, body mass index <25 kg/m2, physical activity at goal levels, and pursuit of a diet consistent with current guideline recommendations) and ideal health factors (untreated total cholesterol <200 mg/dL, untreated blood pressure <120/<80 mm Hg, and fasting blood glucose <100 mg/dL). Appropriate levels for children are also provided. With the use of levels that span the entire range of the same metrics, cardiovascular health status for the whole population is defined as poor, intermediate, or ideal. These metrics will be monitored to determine the changing prevalence of cardiovascular health status and define achievement of the Impact Goal. In addition, the committee recommends goals for further reductions in cardiovascular disease and stroke mortality. Thus, the committee recommends the following Impact Goals: “By 2020, to improve the cardiovascular health of all Americans by 20% while reducing deaths from cardiovascular diseases and stroke by 20%. ” These goals will require new strategic directions for the American Heart Association in its research, clinical, public health, and advocacy programs for cardiovascular health promotion and disease prevention in the next decade and beyond.
The Relationship Among Transformational Leadership, Supervisory Trust, Performance and Turnover Intentions

Prior research has shown the importance of transformational leadership. It is related to a variety of employees’ attitudes and behavior including supervisory trust and job performance. However, much of this research has not examined individual aspects of transformational leadership behavior. This study involving a sample of 369 salespeople found that some of the four transformational leadership behaviors are related to supervisory trust and performance. Theoretical and managerial implications are discussed.
Validation of the patient activation measure in a multiple sclerosis clinic sample and implications for care

Purpose. Patient engagement in multiple sclerosis (MS) care can be challenging at times given the unpredictable disease course, wide range of symptoms, variable therapeutic response to treatment and high rates of patient depression. Patient activation, a model for conceptualising patients' involvement in their health care, has been found useful for discerning patient differences in chronic illness management. The purpose of this study was to validate the patient activation measure (PAM-13) in an MS clinic sample. Methods. This was a survey study of 199 MS clinic patients. Participants completed the PAM-13 along with measures of MS medication adherence, self-efficacy, depression and quality of life. Results. Results from Rasch and correlation analyses indicate that the PAM-13 is reliable and valid for the MS population. Activation was associated with MS self-efficacy, depression and quality of life but not with self-reported medication adherence. Also, participants with relapse-remitting MS, current employment, or high levels of education were more activated than other subgroups. Conclusions. The PAM-13 is a useful tool for understanding health behaviours in MS. The findings of this study support further clinical consideration and investigation into developing interventions to increase patient activation and improve health outcomes in MS.
Magnetic resonance wireless power transfer with a current source transmitter and a voltage source receiver

A new magnetic resonance wireless power transfer (MRWPT) system is proposed in this paper. The proposed MRWPT has a current source transmitting resonator and a voltage source receiving resonator. Also, a LC compensated half bridge inverter is used for a 6.78MHz power amplifier. The LC compensated half bridge inverter helps electromagnetic interference be suppressed and makes a zero voltage switching of the half bridge inverter MOSFET. Output voltage gain and design consideration of the proposed MRWPT are studied in detail. A 5.5W prototype system is implemented to verify operation and features of the proposed MRWPT. The proposed MRWPT has about 76% efficiency in the full load condition.
Stability analysis and controller design for discrete-time periodic nonlinear quadratic systems

The problems of stability analysis and controller design for discrete-time periodic nonlinear quadratic systems are investigated. Firstly, by using Lyapunov function and the concept of periodic invariant set, a sufficient condition for guaranteeing that the assigned polytope belongs to the domain of attraction of the zero equilibrium point. Secondly, it is also show that this problem is related to the problem of finding a state feedback law and an admissible initial condition domain such that the resulting closed-loop system is asymptotic stability for every initial condition from the admissible domain. The proposed algorithm requires the solution of a suitable feasibility problem involving linear matrix inequalities constraints. Finally, two simulation examples are presented to show the effectiveness of the proposed approach.
Error handling and energy estimation for error resilient near-threshold computing. (Gestion des erreurs et estimations énergétiques pour les architectures tolérantes aux fautes et proches du seuil)

Dynamic voltage scaling (DVS) technique is primarily used in digital design to enhance the energy efficiency by reducing the supply voltage of the design. However reduction in Vdd augments the impact of variability and timing errors in sub-nanometer designs. The main objective of this work is to handle timing errors, and to formulate a framework to estimate energy consumption of error resilient applications in the context of near-threshold regime (NTR). In this thesis, Dynamic Speculation based error detection and correction is explored in the context of adaptive voltage and clock overscaling. Apart from error detection and correction, some errors can also be tolerated or, in other words, circuits can be pushed beyond their limits to compute incorrectly to achieve higher energy efficiency. The proposed error detection and correction method achieves 71% overclocking with 2% additional hardware cost. This work involves extensive study of design at gate level to understand the behaviour of gates under overscaling of supply voltage, bias voltage and clock frequency (collectively called as operating triads). A bottom-up approach is taken: by studying trends of energy vs. error of basic arithmetic operators at transistor level. Based on the profiling of arithmetic operators, a tool flow is formulated to estimate energy and error metrics for different operating triads. We achieve maximum energy efficiency of 89% for arithmetic operators like 8-bit and 16-bit adders at the cost of 20% faulty bits by operating in NTR. A statistical model is developed for the arithmetic operators to represent the behaviour of the operators for different variability impacts. This model is used for approximate computing of error resilient applications that can tolerate acceptable margin of errors. This method is further explored for execution unit of a VLIW processor. The proposed framework provides quick estimation of energy and error metrics of a benchmark programs by simple compilation in a C compiler. In the proposed energy estimation framework, characterization of arithmetic operators is done at transistor level, and the energy estimation is done at functional level. This hybrid approach makes energy estimation faster and accurate for different operating triads. The proposed framework estimates energy for different benchmark programs with 98% accuracy compared to SPICE simulation.