Miracle-dz/UniFAR-FTUs huggingface dataset:
People and Self Management

Team management-Groups and teams - what is a group types of groups the hawthorne experiments group formation and development group norms group roles group boundaries group cohesiveness group communication channels group conflict effective and ineffective groups groups and teams The provision of personnel - Recruitment and selection - HRP stats the current job market skills audit internal recruitment policies/practices terms and conditions of employment job description person specification recruitment methods selection procedures methods of selection interviewing skills tests company recruitment policies legislation induction Managing individuals, groups and teams-Managing people as individuals - individuals at work personality motivation-theory, goal setting managing change -Leading groups and teams - working with others-encouraging good working relationships with team members, colleagues and line managers management and leadership leadership styles trait approach functional approach style approach gaining commitment from individuals negotiation delegation conflict-methods of resolving confidentiality dealing with poor performance rules at work disciplinary grievance counselling Training and developing your team - TNA training needs induction appraisals progress reviews types of training and evaluation the role of a mentor target setting support for personnel company/department procedures Managing health and safety of the workteam - basic legislation codes of practice and organisations published policy safe methods and working practices safety training and instructions attitudinal aspects of safety Managing and developing yourself- why continuing self development and effective time management are essential to managerial competence career management self analysis development plane-matching to current and future job demands and effective team working objective setting personal action plans setting own targets review of objectives performance indicators appraisal techniques time management prioritising work planning own work obtaining and using feedback decision making stress management interpersonal skills listening skills learning skills assertiveness CPD
Resting Heart Rate Is Not a Good Predictor of a Clustered Cardiovascular Risk Score in Adolescents: The HELENA Study

Background Resting heart rate (RHR) reflects sympathetic nerve activity a significant association between RHR and all-cause and cardiovascular mortality has been reported in some epidemiologic studies. Methods To analyze the predictive power and accuracy of RHR as a screening measure for individual and clustered cardiovascular risk in adolescents. The study comprised 769 European adolescents (376 boys) participating in the HELENA cross-sectional study (2006–2008) were included in this study. Measurements on systolic blood pressure, HOMA index, triglycerides, TC/HDL-c, VO2máx and the sum of four skinfolds were obtained, and a clustered cardiovascular disease (CVD) risk index was computed. The receiver operating characteristics curve was applied to calculate the power and accuracy of RHR to predict individual and clustered CVD risk factors. Results RHR showed low accuracy for screening CVD risk factors in both sexes (range 38.5%–54.4% in boys and 45.5%–54.3% in girls). Low specificity’s (15.6%–19.7% in boys; 18.1%–20.0% in girls) were also found. Nevertheless, the sensitivities were moderate-to-high (61.4%–89.1% in boys; 72.9%–90.3% in girls). Conclusion RHR is a poor predictor of individual CVD risk factors and of clustered CVD and the estimates based on RHR are not accurate. The use of RHR as an indicator of CVD risk in adolescents may produce a biased screening of cardiovascular health in both sexes.
Focal Fluid-Attenuated Inversion Recovery Hyperintensity Within Acute Diffusion-Weighted Imaging Lesions Is Associated With Symptomatic Intracerebral Hemorrhage After Thrombolysis

Background and Purpose— We investigated whether focal hyperintensity on fluid-attenuated inversion recovery image within acute infarcts is associated with symptomatic intracerebral hemorrhage (SICH) after thrombolysis. Methods— Patients with acute ischemic stroke who underwent MRI screening before thrombolysis were enrolled. The presence of focal fluid-attenuated inversion recovery hyperintensity within acute infarcts did not preclude thrombolysis. SICH was defined as hemorrhagic transformation with any neurological decline (SICH-1) or with an increase in National Institutes of Health Stroke Scale of ≥4 (SICH-2) within 48 hours. Results— Among 88 included patients, focal fluid-attenuated inversion recovery hyperintensity within acute infarct lesions was observed in 27 (30.7%) patients. Multivariate analysis showed that focal fluid-attenuated inversion recovery hyperintensity was independently associated with SICH-1 (OR, 13.64; 95% CI, 1.51 to 123.28) and SICH-2 (OR, 10.44; 95% CI, 1.11 to 98.35). Conclusion— The presence of focal fluid-attenuated inversion recovery hyperintensity within acute infarcts may increase the risk of symptomatic intracerebral hemorrhage after thrombolysis.
Learning Phrase Embeddings from Paraphrases with GRUs

Learning phrase representations has been widely explored in many Natural Language Processing tasks (e.g., Sentiment Analysis, Machine Translation) and has shown promising improvements. Previous studies either learn non-compositional phrase representations with general word embedding learning techniques or learn compositional phrase representations based on syntactic structures, which either require huge amounts of human annotations or cannot be easily generalized to all phrases. In this work, we propose to take advantage of large-scaled paraphrase database and present a pairwise-GRU framework to generate compositional phrase representations. Our framework can be re-used to generate representations for any phrases. Experimental results show that our framework achieves state-of-the-art results on several phrase similarity tasks.
Piecewise‐planar Reconstruction of Multi‐room Interiors with Arbitrary Wall Arrangements

Reconstructing the as‐built architectural shape of building interiors has emerged in recent years as an important and challenging research problem. An effective approach must be able to faithfully capture the architectural structures and separate permanent components from clutter (e.g. furniture), while at the same time dealing with defects in the input data. For many applications, higher‐level information on the environment is also required, in particular the shape of individual rooms. To solve this ill‐posed problem, state‐of‐the‐art methods assume constrained input environments with a 2.5D or, more restrictively, a Manhattan‐world structure, which significantly restricts their applicability in real‐world settings. We present a novel pipeline that allows to reconstruct general 3D interior architectures, significantly increasing the range of real‐world architectures that can be reconstructed and labeled by any interior reconstruction method to date. Our method finds candidate permanent components by reasoning on a graph‐based scene representation, then uses them to build a 3D linear cell complex that is partitioned into separate rooms through a multi‐label energy minimization formulation. We demonstrate the effectiveness of our method by applying it to a variety of real‐world and synthetic datasets and by comparing it to more specialized state‐of‐the‐art approaches.
Protection in the Think exokernel

In this paper, we present our preliminary ideas concerning the adaptation of security and protection techniques in the Think exokernel. Think is our proposition of a distributed adaptable kernel, designed according to the exokernel architecture. After summing up the main motivations for using the exokernel architecture, we describe the Think exokernel as it has been implemented on a PowerPC machine. We then present the major protection and security techniques that we plan to adapt to the Think environment, and give an example of how some of these techniques can be combined with the Think model to provide fair and protected resource management. Finally, we brieﬂy present the iPAQ Pocket PC to which we plan to port the Think exokernel and explain our interest in this kind of mobile devices.
Co‐localization and functional interaction between adenosine A2A and metabotropic group 5 receptors in glutamatergic nerve terminals of the rat striatum

The anti‐Parkinsonian effect of glutamate metabotropic group 5 (mGluR5) and adenosine A2A receptor antagonists is believed to result from their ability to postsynaptically control the responsiveness of the indirect pathway that is hyperfunctioning in Parkinson's disease. mGluR5 and A2A antagonists are also neuroprotective in brain injury models involving glutamate excitotoxicity. Thus, we hypothesized that the anti‐Parkinsonian and neuroprotective effects of A2A and mGluR5 receptors might be related to their control of striatal glutamate release that actually triggers the indirect pathway. The A2A agonist, CGS21680 (1–30 nm) facilitated glutamate release from striatal nerve terminals up to 57%, an effect prevented by the A2A antagonist, SCH58261 (50 nm). The mGluR5 agonist, CHPG (300–600 μm) also facilitated glutamate release up to 29%, an effect prevented by the mGluR5 antagonist, MPEP (10 μm). Both mGluR5 and A2A receptors were located in the active zone and 57 ± 6% of striatal glutamatergic nerve terminals possessed both A2A and mGluR5 receptors, suggesting a presynaptic functional interaction. Indeed, submaximal concentrations of CGS21680 (1 nm) and CHPG (100 μm) synergistically facilitated glutamate release and the facilitation of glutamate release by 10 nm CGS21680 was prevented by 10 μm MPEP, whereas facilitation by 300 μm CHPG was prevented by 10 nm SCH58261. These results provide the first direct evidence that A2A and mGluR5 receptors are co‐located in more than half of the striatal glutamatergic terminals where they facilitate glutamate release in a synergistic manner. This emphasizes the role of the modulation of glutamate release as a likely mechanism of action of these receptors both in striatal neuroprotection and in Parkinson's disease.
A Hidden Markov Model for Localization Using Low-End GSM Cell Phones

Research in location determination for GSM phones has gained interest recently as it enables a wide set of location based services. RSSI-based techniques have been the preferred method for GSM localization on the handset as RSSI information is available in all cell phones. Although the GSM standard allows for a cell phone to receive signal strength information from up to seven cell towers, many of today's cell phones are low-end phones, with limited API support, that gives only information about the associated cell tower. In addition, in many places in the world, the density of cell towers is very small and therefore, the available cell tower information for localization is very limited. This raises the challenge of accurately determining the cell phone location with very limited information, mainly the RSSI of the associated cell tower. In this paper we propose a Hidden Markov Model based solution that leverages the signal strength history from only the associated cell tower to achieve accurate GSM localization. We discuss the challenges of implementing our system and present the details of our system and how it addresses the challenges. To evaluate our proposed system, we implemented it on Android-based phones. Results for two different testbeds, representing urban and rural environments, show that our system provides at least 156% enhancement in median error in rural areas and at least 68% enhancement in median error in urban areas compared to current RSSI-based GSM localization systems.
The metabolic syndrome in hypertensive and normotensive subjects: the Isfahan Healthy Heart Programme.

INTRODUCTION There are numerous correlations between hypertension and the metabolic syndrome, although this is not always the case. The objective of this study was to compare the prevalence of the metabolic syndrome and its different phenotypes among hypertensive and normotensive subjects. MATERIALS AND METHODS This cross-sectional study was performed on a representative sample of adults living in 3 cities in Iran. Among the 12,514 subjects selected by multi-stage random sampling, 1736 (13.9%) were hypertensive. The prevalence of the metabolic syndrome [according to the Adult Treatment Panel (ATP) III criteria] was significantly higher in hypertensive than normotensive subjects (51.6% versus 12.9%, respectively; OR, 7.15; 95% CI, 6.4 to 7.9). The metabolic syndrome was more prevalent in normotensive and hypertensive subjects living in urban areas than those living in rural areas (14.2% and 53.9% versus 9.5% and 45.6%, respectively, P < 0.05). The mean age of hypertensive subjects, with or without the metabolic syndrome, was not significantly different (55.7 +/- 12 years versus 55.4 +/- 15.5 years, P = 0.6). Hypertension with the metabolic syndrome was more prevalent in women than men (72% versus 28% respectively, P < 0.000), and in subjects living in urban areas than those in rural areas (75.1% versus 24.9%, respectively, P = 0.002). CONCLUSION The findings of this study indicate the need for metabolic screening in all hypertensive patients, and emphasise the importance of promoting primary and secondary prevention of high blood pressure and associated modifiable risk factors in order to counter the upcoming epidemic of non-communicable disease in developing countries.
When high-quality face images match poorly

In face recognition, quality is typically thought of as a property of individual images, not image pairs. The implicit assumption is that high-quality images should be easy to match to each other, while low quality images should be hard to match. This paper presents a relational graph-based evaluation technique that uses match scores produced by face recognition algorithms to determine the “quality” of images. The resulting analysis demonstrates that only a small fraction of the images in a well-studied data set (FRVT 2006) are low-quality images. It is much more common to find relationships in which two images that are hard to match to each other can be easily matched with other images of the same person. In other words, these images are simultaneously both high and low quality. The existence of such contrary images represents a fundamental challenge for approaches to biometric quality that cast quality as an intrinsic property of a single image. Instead it indicates that quality should be associated with pairs of images. In exploring these contrary images, we find a surprising dependence on whether elements of an image pair are acquired at the same location, even in circumstances where one would be tempted to think of the locations as interchangeable. The results presented have important implications for anyone designing face recognition evaluations as well as those developing new algorithms.
On mismatch in the deep sub-micron era-from physics to circuits

The rapid decrease in feature sizes has increasingly accentuated the importance of matching between transistors. Deep submicron designs will further emphasize the need to focus on the effects of mismatch. Furthermore, increased efforts on high level analog device modeling will necessitate accompanying mismatch simulation and measurement methods. The deep submicron era forces circuit designers to learn more about the physics and the technology of transistors. We introduce a method and assist circuit designers in including this method in their traditional design flow of circuits. By proposing a solution to the problem of building a modeling bridge between transistor mismatch and circuit response to it, we hope to enable designers to incorporate low level mismatch information in their higher level design.
Graph based linear error correcting codes

In this article we present a construction of error correcting codes, that have representation as very sparse matrices and belong to the class of Low Density Parity Check Codes. LDPC codes are in the classical Hamming metric. They are very close to well known Shannon bound. The ability to use graphs for code construction was first discussed by Tanner in 1981 and has been used in a number of very effective implementations. We describe how to construct such codes by using special a family of graphs introduced by Ustimenko and Woldar. Graphs that we used are bipartite, bi-regular, very sparse and do not have short cycles C 4 . Due to the very low density of such graphs, the obtained codes are fast decodable. We describe how to choose parameters to obtain a desired code rate. We also show results of computer simulations of BER (bit error rate) of the obtained codes in order to compare them with other known LDPC codes.
Smooth muscle phenotypic diversity is mediated through alterations in Myocardin gene splicing

Myocardin (MYOCD) is a smooth and cardiac muscle‐specific transcriptional coactivator that is required for the proper expression of contraction‐related genes. Through its function to transactivate effector genes, MYOCD plays an essential role in mediating the switch between contractile and non‐contractile phenotypes, particularly in smooth muscle cells (SMC). There are at least two known transcript variants of MYOCD that are expressed in SMC, differing only by the presence (+) or absence (Δ) of Exon 11. To date, no functional role has been assigned to the domain encoded by Exon 11, nor have any notable differences between the ability of each isoform to activate contraction‐related genes been observed. In this study we compared sequences for Exon 11 among several mammalian species and identified a highly conserved, putative target sequence for glycogen synthase kinase 3 (GSK3) phosphorylation, suggesting a regulatory role for Exon 11 that can be modulated by alternative splicing. The function of Exon 11 was investigated by altering MYOCD splice selection in cultured porcine SMC with small interfering RNAs (siRNA) and specific chemical inhibitors, resulting in a relative increase in expression of ΔExon 11 variants in the endogenous pool of MYOCD mRNA. The relative increase in ΔExon 11 mRNAs correlated with a reduction of contractile phenotype in the porcine SMC as evidenced by morphological assessment and molecular analysis of effector genes. Together, these data suggest that MYOCD ΔExon 11 may participate in modulating SMC phenotype, potentially acting as a dominant‐negative repressor of contraction‐related genes. J. Cell. Physiol. 226: 2702–2711, 2011. © 2010 Wiley‐Liss, Inc.
Response rate on the Adjusted Rorschach Comprehensive System (ARCS) by isiXhosa learners: a replication and extension

This study describes the response profiles of a sample of isiXhosa learners regarding to the Adjusted Rorschach Comprehensive System (ARCS) and related influences to explain the response latencies. This was a multiple case study in which six test naive high school learners (females = 3; males = 3; aged 14 years) attempted to respond to the ARCS. Both test protocol and process data were gathered. Data were thematically analysed. Responses were adequate in 83% of the instances. Process factors that appeared to impact response rate and quality included language of administration, seating arrangement, and option to use drawing for the responses.
A multicenter observational safety study in Swedish children and adolescents using insulin detemir for the treatment of type 1 diabetes

This 26‐wk observational study in children and adolescents with type 1 diabetes (T1D) in Sweden investigated the safety and efficacy of insulin detemir (IDet) in newly diagnosed (ND) patients and those with established diabetes (ED) switching to IDet. A total of 159 patients initiated IDet as part of basal–bolus therapy, 59 in the ND stratum (mean age 9.7 yr) and 97 in the ED stratum (mean age 12.5 yr). The primary outcome measure was the incidence of severe adverse drug reactions; just one major hypoglycemic event occurred in a patient in the ND stratum during the study and one patient was withdrawn due to injection‐site reactions. All other events were classified as mild. In the ED stratum, there was a reduction in hypoglycemic events in the 4 wk prior to study end from baseline (mean reduction of 2.46 events, not significant) and a significant reduction in nocturnal hypoglycemia (mean reduction of 2.24 events, p = 0.0078). Glycemic control improved in the ND stratum as expected and, in the ED stratum, there was no significant change in HbA1c from baseline (mean reduction of −0.45%). At study end, mean daily IDet doses were 0.39 U/kg (ND) and 0.54 U/kg (ED). Weight increased by 5.7 and 2.0 kg in the ND and ED strata, respectively, and was within the normal limits for growing children. IDet provided good glycemic control and was well tolerated, with a reduced risk of nocturnal hypoglycemia in a heterogeneous cohort of children and adolescents with T1D.
Dextran magnetite as a liver contrast agent

The superparamagnetic particle dextran magnetite was studied as a liver tumor contrast agent for magnetic resonance imaging (MRI). The effects of dextran magnetite on the longitudinal (T1) and transverse (T2) relaxation times in liver, spleen, and an implanted rat liver tumor were measured at 0.47 T (IBM/Bruker PC‐20 relaxometer) over the dose range of 23 to 69 μmol Fe/kg. Dextran magnetite substantially reduced the T2 of the liver and spleen, but not of the tumor, thereby providing a basis for improved tumor imaging. The T1 of the tumor was not affected following injection of dextran magnetite in the dose range studied, while the spleen T1 was reduced substantially more than the T1 of the liver. Histological studies using the iron reaction for Prussian blue clearly showed dextran magnetite in the liver and spleen, but not in the tumor. While dextran magnetite was sequestered in macrophages in both liver and spleen, the distribution in the liver was more diffuse (70 μm average particle separation) than that in the spleen (25 μm separation). The lack of a T1 effect in the liver is consistent with the fact that a majority of the water in the tissue cannot diffuse to the relaxational centers on the time scale of the liver's intrinsic T1 (280 ms). In the spleen, however, the dextran magnetite is more densely packed in the red pulp allowing a significant fraction of the water to be relaxed by a T1 mechanism. Spin‐echo images of the implanted tumor (mammary adenocarcinoma, R3230AC) in the livers of Fischer 344 rats were obtained at 0.50 T (Siemens Magnetom). The tumor‐to‐liver contrast was improved for both T1 and T2‐weighted spin‐echo images after intravenous injection of the dextran magnetite contrast agent. The contrast determined from these images agreed with that predicted by the measured T1 and the T2 (Hahn spin‐echo) values. In addition, gradient‐echo T2‐weighted images with good contrast were obtained in a much shorter imaging time than was needed for T2‐weighted spin‐echo images. These results demonstrate that the MRI contrast enhancement observed with dextran magnetite is based on its selective uptake and distribution in the macrophages in the liver and spleen and that this agent has substantial potential as a superparamagnetic MR contrast agent. © 1991 Academic Press, Inc.