Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of the Type of Continuous Insulin Administration on Metabolism in a Diabetic Rat Model

Exogenous insulin is the only treatment available for type 1 diabetic patients and is mostly administered by subcutaneous (SC) injection in a basal and bolus scheme using insulin pens (injection) or pumps (preimplanted SC catheter). Some divergence exists between these two modes of administration, since pumps provide better glycaemic control compared to injections in humans. The aim of this study was to compare the impacts of two modes of insulin administration (single injections of long-acting insulin or pump delivery of rapid-acting insulin) at the same dosage (4 IU/200 g/day) on rat metabolism and tissues. The rat weight and blood glucose levels were measured periodically after treatment. Immunostaining for signs of oxidative stress and for macrophages was performed on the liver and omental tissues. The continuous insulin delivery by pumps restored normoglycaemia, which induced the reduction of both reactive oxygen species and macrophage infiltration into the liver and omentum. Injections controlled the glucose levels for only a short period of time and therefore tissue stress and inflammation were elevated. In conclusion, the insulin administration mode has a crucial impact on rat metabolic parameters, which has to be taken into account when studies are designed.
Parenting and Delinquency: An Exploration of Gender Effects

Title of Thesis: PARENTING AND DELINQUENCY: AN EXPLORATION OF GENDER EFFECTS Lynda Meredith Wilkins, Master of Science, 2006 Thesis directed by: Professor Denise Gottfredson Department of Criminology and Criminal Justice In the search for the causes and correlates of juvenile delinquency, parenting has historically been recognized as one of the primary contributing or inhibiting factors to delinquent behaviors. The current study focuses on the relationship between the specific parenting practices of monitoring and attachment, and the delinquent behaviors of both males and female children, in the preadolescent ages of 7-11. This study finds that while parents monitor male and female children equally, parents report a higher level of attachment to their male children. Additionally, although most of the measures of parenting have similar impacts for male and female children, there are certain practices which produce divergent results based upon the child’s gender. Parental reports of monitoring are a stronger inhibitor of intentions to use illicit substances for males, while the parent’s attachment is a greater inhibitor of self-reported rebellious behavior for females. These results have implications for future research and program design. Parenting and Delinquency: An Exploration of Gender Effects
Maximal coronary flow and the concept of coronary vascular reserve.

CORONARY FLOW can usually be increased above resting levels by reactive hyperemia after transient coronary arterial occlusion,'-" exercise,7 11, 1421 pacing,22-26 or injection of agents like dipyridamole,' 17. 18 20 21. 27-37 other vasodilating -7. 10, 11. 30. 38 agents,5 or hyperosmolar iodinated contrast media.4 693 If the stimulus produces maximal coronary vasodilatation, then the increment of coronary flow above the resting level will be maximal. This increment, often termed the "coronary vascular reserve," is beginning to be measured in human beings to give information about the coronary vascular bed.9 13, 15. 17. 19-29. 33A3 However, it is easy to misinterpret the information, so that it is important to understand the basic physiology that underlies the concept of coronary vascular reserve.
An agent-based model of pedestrian dynamics considering groups: A real world case study

Groups have a significant influence of pedestrian dynamics: members of groups, in fact, carry out of a form of interaction (by means of verbal or non-verbal communication) that allows them to preserve cohesion even in particular conditions, such as counter flows, presence of obstacles or narrow passages. The paper describes an agent-based model for the simulation of crowds of pedestrians whose main innovative element is the representation and management of groups in the simulated population. The paper briefly describes the model and then it presents its application to a real world scenario in which an analysis of the impact of groups on the overall observed system dynamics was performed.
Efficiency, cheese yield and carbon emissions of Holstein-Friesian, Jersey and crossbred cows: an overview

This paper provides an overview on differences between Holstein-Friesian (HF), Jersey (J) and crossbred cows, for feed conversion efficiency (FCE), dry matter intake (DMI), cheese yield and carbon emissions. It was found that J cows have significantly higher DMI per kilogram of live weight (LWT) compared to HF and F1 HFxJ cows (3.64, 3.81 and 3.23 g DMI/kg LWT, respectively). A higher DMI per kilogram of LWT can result in more energy available for milk production, assuming that the maintenance requirements per unit of LWT are equal between the breeds. Estimates of FCE measured as grams of milksolids (milkfat plus milk protein) per kilogram of DMI were higher in J than HF cows (112 vs 97 g MS/kg DMI) in the reviewed papers. For grazing cows, a higher proportion of feed consumed is converted into milk production than used to cover maintenance energy requirements in J cows. This may result in lower greenhouse gas emission intensity from J than HF cows. Opportunities for the utilisation of breed differences to increase FCE and reduce carbon footprint and increase overall farm profitability in grazing dairy systems requires further farming system research to elucidate the relative efficiencies of the most common dairy breeds.
Elevated Neuronal Excitability Due to Modulation of the Voltage-Gated Sodium Channel Nav1.6 by Aβ1−42

Aberrant increases in neuronal network excitability may contribute to the cognitive deficits in Alzheimer's disease (AD). However, the mechanisms underlying hyperexcitability are not fully understood. Such overexcitation of neuronal networks has been detected in the brains of APP/PS1 mice. In the present study, using current-clamp recording techniques, we observed that 12 days in vitro (DIV) primary cultured pyramidal neurons from P0 APP/PS1 mice exhibited a more prominent action potential burst and a lower threshold than WT littermates. Moreover, after treatment with Aβ1−42 peptide, 12 DIV primary cultured neurons showed similar changes, to a greater degree than in controls. Voltage-clamp recordings revealed that the voltage-dependent sodium current density of neurons incubated with Aβ1−42 was significantly increased, without change in the voltage-dependent sodium channel kinetic characteristics. Immunohistochemistry and western blot results showed that, after treatment with Aβ1−42, expressions of Nav and Nav1.6 subtype increased in cultured neurons or APP/PS1 brains compared to control groups. The intrinsic neuronal hyperexcitability of APP/PS1 mice might thus be due to an increased expression of voltage-dependent sodium channels induced by Aβ1−42. These results may illuminate the mechanism of aberrant neuronal networks in AD.
Measuring experiences and outcomes of patient safety in primary care: a systematic review of available instruments.

BACKGROUND Despite the enormous potential for adverse events in primary care, the knowledge base about patient safety in this context is still sparse. The lack of appropriate measurement methods is a key factor limiting the development of research in this field. OBJECTIVE To identify and characterize available patient reported instruments to measure patient safety in primary care. METHODS We conducted a systematic literature review. We searched in bibliographic sources for empirical studies describing the development, evaluation or use of patient reported instruments assessing patient safety in primary care. Study selection and data extraction were independently conducted by two researchers. RESULTS We identified 28 studies reporting on 23 different instruments. Fifteen instruments were designed for paper-based self-administration, six for phone interview and two consisted in electronic reporting systems. Most instruments focused on specific aspects of patient safety, most commonly on experiences of adverse drug reactions. Face validity was assessed for 10 instruments (43%), three reported construct validity (13%) and three described reliability (13%). Responsiveness was not ascertained. CONCLUSIONS Although there is evidence of good psychometric properties for a reduced number of patient reported instruments, currently available instruments do not offer a comprehensive set of resources to measure the effects of interventions to improve patient safety in primary care from a patient perspective. Future research in the field should prioritize (i) the evaluation of the performance of already available instruments and (ii) the development of new instruments that enable an comprehensive assessment of patient safety at general practices.
SIEVE METHODS LECTURE NOTES SELBERG’S UPPER BOUND SIEVE

1 Basic inequality For any real numbers ρ d satisfying ρ 1 = 1, and for any natural number m, we have d|m µ(d) d|m ρ d 2 = e|m λ e , λ e = [d 1 ,d 2 ]=e ρ d 1 ρ d 2. Our goal is to optimize the choice of (ρ d) d1. Let m = (n, P (z)), multiply by a n and sum over n using (g): say. Minimizing XG + R is quite difficult. However, if we restrict the support of ρ to d √ D, it is relatively easy to minimize G. Define (h) h(d) = p|d g(p) 1 − g(p) for d|P (z). (d 1 ,d 2) is squarefree, we have g([d 1 , d 2 ]) = g(d 1)g(d 2) g((d 1 , d 2)). To make use of this formula, however, we implicitly assume that g(p) > 0 for p ∈ P (primes with g(p) = 0 do not contribute to G, and we may simply remove them from P). Inverting (h) gives 1 g(m) = p|m 1 + 1 h(p) = d|m 1 h(d) , so that G = d 1 ,d 2 |P (z) ρ d 1 ρ d 2 g(d 1)g(d 2) d|(d 1 ,d 2) 1 h(d) = d|P (z) 1 h(d) d 1 ,d 2 |P (z) d|d 1 ,d|d 2 ρ d 1 ρ d 2 g(d 1)g(d 2) = d|P (z) 1 h(d) d|m ρ m g(m) 2 .
Factors predicting health-related quality of life in breast cancer survivors: the role of sense of coherence

Aim: The prospective analysis of sense of coherence (SOC) and health-related quality of life (HRQOL) correlations in breast cancer survivors in the first year after surgery and the evaluation of the prognostic value of SOC for HRQOL. Method: Thirty-nine women aged from 34 to 68 years (mean = 55.92, standard deviation, SD = 8.84) completed the following surveys: the core European Organisation for Research and Treatment of Cancer (EORTC) QLQ-C30 and the supplement BR23 for HRQOL, and the Life Orientation Questionnaire, SOC-29 for SOC. Data were collected twice: once in the third month after breast surgery (t1: sociodemographic, SOC and HRQOL), and once nine months later (t2: HRQOL). Results: The mean SOC was 141.13 ( SD 24.17). The average global health status and overall quality of life (GHS/QOL) was 59.82 ( SD 23.47) in t1 and 55.36 ( SD 22.93) in t2. A significant decrease in cognitive functioning and an increase in the severity of breast symptoms between t1 and t2 were reported. The results showed several positive correlations between SOC and functional scales of EORTC QOL questionnaires, suggesting the predictive value of meaningfulness for cognitive and emotional functioning of breast cancer survivors. Conclusion: The data obtained give a new insight into the issue of adaptation to cancer and suggest that sense of coherence may play a role in cognitive and emotional functioning in the first year of cancer treatment. Implications for psychosocial care providers: The results suggest the need for active screening and management of cognitive impairments and emotional problems as well as for breast-related symptoms in the first year of cancer therapy. All psychosocial interventions that can empower generalised resistance resources, which are mediated by SOC, may be recommended for better HRQOL in breast cancer survivors. Correlation analysis, t -test for dependent groups,
Predicting the risk of readmission of diabetic patients using MapReduce

From the banking to retail, many sectors have already embraced big data regardless of whether the information comes from public or private sources. In the clinical sphere, the amount of patient data has grown exponentially because of computer based information systems. E-Health monitoring applications have some particularities concerning the importance on data quality. This paper presents a novel solution using Hadoop Mapreduce to analyze large datasets and extract useful insights from the dataset which helps doctors to effectively allocate resources. The successful healthcare delivery and planning strongly rely on data (e.g. sensed data, diagnosis, administration information); the higher quality of the data, the better will be the patient assistance. The applications are also particularly exposed to a contextual environment (i.e., patient's mobility, communication technologies, performance, information heterogeneity, etc.) that has an important impact on information management and application achievement. The main objective of our system is to predict the risk of diabetic patients for readmission in the next 30 days by measuring the probability using MapReduce. This risk score helps the physicians in recommending appropriate care for the patients.
An energy-efficient supply voltage scheme using in-situ Pre-Error detection for on-the-fly voltage adaptation to PVT variations

The presented Pre-Error voltage scheme dynamically tunes the supply voltage of digital circuits, according to PVT variations. By exploiting unused timing margin, produced by state-of-the-art worst-case designs, power consumption is minimized. Pre-Error flip-flops detect late-arriving signals in critical paths for the pre-error rate driven voltage adaptation. We use a Markov chain model to describe the voltage scheme analytically and analyze the effect of global and local variations on the closed-loop control. For an arithmetic circuit, synthesized in an industrial 65nm design-flow, an average power saving of 23% is achieved for very low error rates below 1E-11.
Analysis of Cat-ToBI indices intertranscriber inconsistencies : implications for automatic labelling

In this paper we present an experience to measure the intertranscribers consisteny where a number of observer have been required to identify ToBI events in the same set of sentences. We computed the pairwise transcribers agreement with its corresponding confusion matrix and the kappa coefficients. The goal was to identify the main sources of confusion resulting: (1) bad trained observers (2) problematic symbols. The identification of those problematic symbols supports the practical decision to merge them into an alternative class when automatic approaches to ToBI labelling are focused; in this case for ToBI break indices.
Recruitment into Teaching: An Intergenerational Analysis.

This study investigated differences in recruitment patterns between veteran and student physical education teachers. Five veteran and five student teachers were interviewed with interview questions based upon previous socialization research. Questions were aimed at discovering the subjects' physical activity participation background, education experiences, reasons for choosing a teaching career, and their career goals. A life-history approach allowed the investigators to link contextual life experiences with occupational aspirations and motives. Interview transcripts were analyzed using the constant comparative method. Four themes emerged that distinguished the recruitment patterns of the novice and veteran teachers: (1) background experiences, (2) personal qualities, (3) career goals, and (4) significant others. New recruits tended to see coaching rather than teaching as their primary career goal, tended to have experienced a greater variety of sports, and credited their previous coaching experiences as most influential in career choice. Reasons given by students today for selecting a career in physical education teaching are not what they were a generation ago. (Contains 37 reference-) (Author/DB) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. * ***************AAA****************************************************
Tracking and Reducing Uncertainty in Dataflow Analysis-Based Dynamic Parallel Monitoring

Dataflow analysis-based dynamic parallel monitoring (DADPM) is a recent approach for identifying bugs in parallel software as it executes, based on the key insight of explicitly modeling a sliding window of uncertainty across parallel threads. While this makes the approach practical and scalable, it also introduces the possibility of false positives in the analysis. In this paper, we improve upon the DADPM framework through two observations. First, by explicitly tracking new “uncertain” states in the metadata lattice, we can distinguish potential false positives from true positives. Second, as the analysis tool runs dynamically, it can use the existence (or absence) of observed uncertain states to adjust the tradeoff between precision and performance on-the-fly. For example, we demonstrate how the epoch size parameter can be adjusted dynamically in response to uncertainty in order to achieve better performance and precision than when the tool is statically configured. This paper shows how to adapt a canonical dataflow analysis problem (reaching definitions) and a popular security monitoring tool (TAINTCHECK) to our new uncertainty-tracking framework, and provides new provable guarantees that reported true errors are now precise.
Face recognition in the wild with the Probabilistic Gabor-Fisher Classifier

The paper addresses the problem of face recognition in the wild. It introduces a novel approach to unconstrained face recognition that exploits Gabor magnitude features and a simplified version of the probabilistic linear discriminant analysis (PLDA). The novel approach, named Probabilistic Gabor-Fisher Classifier (PGFC), first extracts a vector of Gabor magnitude features from the given input image using a battery of Gabor filters, then reduces the dimensionality of the extracted feature vector by projecting it into a low-dimensional subspace and finally produces a representation suitable for identity inference by applying PLDA to the projected feature vector. The proposed approach extends the popular Gabor-Fisher Classifier (GFC) to a probabilistic setting and thus improves on the generalization capabilities of the GFC method. The PGFC technique is assessed in face verification experiments on the Point and Shoot Face Recognition Challenge (PaSC) database, which features real-world videos of subjects performing everyday tasks. Experimental results on this challenging database show the feasibility of the proposed approach, which improves on the best results on this database reported in the literature by the time of writing.
Using radio emission to detect isolated and quiescent accreting black holes

We discuss the implications of new relations between the masses, X-ray luminosities and radio luminosities of black holes, as well as the properties of the next generation of radio telescopes, for the goal of finding isolated accreting black holes. Because accreting black holes have radio-to-X-ray flux ratios that increase with decreasing luminosity in Eddington units, and because deep surveys over large fields of view should be possible with planned instrumentation such as LOFAR, radio surveys should be significantly more efficient than X-ray surveys for finding these objects.
A Cluster-Randomized Controlled Intervention Study to Assess the Effect of a Contact Intervention in Reducing Leprosy-Related Stigma in Indonesia

Background Can deliberate interaction between the public and persons affected by leprosy reduce stigmatization? The study described in this paper hypothesises that it can and assesses the effectiveness of a ‘contact intervention’. Methods/Principal Findings This cluster-randomized controlled intervention study is part of the Stigma Assessment and Reduction of Impact (SARI) project conducted in Cirebon District, Indonesia. Testimonies, participatory videos and comics given or made by people affected by leprosy were used as methods to facilitate a dialogue during so-called ‘contact events’. A mix of seven quantitative and qualitative methods, including two scales to assess aspects of stigma named the SDS and EMIC-CSS, were used to establish a baseline regarding stigma and knowledge of leprosy, monitor the implementation and assess the impact of the contact events. The study sample were community members selected using different sampling methods. The baseline shows a lack of knowledge about leprosy, a high level of stigma and contrasting examples of support. In total, 91 contact events were organised in 62 villages, directly reaching 4,443 community members (mean 49 per event). The interview data showed that knowledge about leprosy increased and that negative attitudes reduced. The adjusted mean total score of the EMIC-CSS reduced by 4.95 points among respondents who had attended a contact event (n = 58; p <0.001, effect size = 0.75) compared to the score at baseline (n = 213); for the SDS this was 3.56 (p <0.001, effect size = 0.81). About 75% of those attending a contact event said they shared the information with others (median 10 persons). Conclusions/Significance The contact intervention was effective in increasing knowledge and improving public attitudes regarding leprosy. It is relatively easy to replicate elsewhere and does not require expensive technology. More research is needed to improve scalability. The effectiveness of a contact intervention to reduce stigma against other neglected tropical diseases and conditions should be evaluated.
Sectoring in WiMAX relay 802.16j to enhance the system throughput

WiMax mobile cellular systems are envisioned to provide high data rate multimedia service to users at any time, anywhere at an affordable cost. WiMax is operated at a frequency higher than 2 GHz because of the intensive usage of the frequency bands below and around 2 GHz by the current 2 G, 3 G and other systems. At fixed transmission power, both high data rate and high frequency indicate smaller cell coverage with a given error rate performance. In other words, it requires more base stations to cover the same area. The standard WiMax with relays 802.16j proposes to add the low cost relay in order to extend cell coverage. Moreover, the throughput of the user could be enhanced by using a better link connection. However there are several approachs to coordinate the communication between the BS and the RSs which have impact on the system performance. In this article, we review existing architectures of WiMax with relays and assess their performances. Then we propose a new architecture using a sectoring technique and frequency reuse to better allocate the resource in the base station.
Evaluations of involuntary cross-modal expressions on the skin of a communication robot

In this paper, we introduce a unique combination of multiple involuntary expressions on the skin of a robot; namely, goose bumps, sweats, and shivers, which represent instinctive fears of the anthropomorphic presence. Humans and other living beings express not only voluntary but also involuntary modalities, including physiologic reactions. We expected these fake-involuntary expressions of a robot to realize the life-like or human-alike presence of the robot. In this research, we focused on the unique expression of a strong fear represented not only by the facial expressions but also by the combination of involuntary goose bumps, sweats, and shivers, and so on. Our proposed method utilizes multiple thin rods under the robot's skin to generate the goose bumps. A vibration motor and a water tank with a balloon are also attached to the system to create combined expressions. The results of the evaluation showed the effectiveness of the combination of three different involuntary expressions and the different nuances of the expression through a variety of unique combinations.