Miracle-dz/UniFAR-FTUs huggingface dataset:
Cost-effectiveness of a school-based health promotion program in Canada: A life-course modeling approach

Background The Alberta Project Promoting active Living and healthy Eating in Schools (APPLE Schools) has been recognized as a “best practice” in preventing childhood obesity. To inform decision making on the economic implications of APPLE Schools and to justify investment, we evaluated the project’s cost-effectiveness following a life-course approach. Methods We developed a state transition model for the lifetime progression of body weight status comparing elementary school students attending APPLE Schools and control schools. This model quantified the lifetime impact of APPLE Schools in terms of prevention of excess body weight, chronic disease and improved quality-adjusted life years (QALY), from a school system’s cost perspective. Both costs and health outcomes were discounted to their present value using 3% discount rate. Results The incremental cost-effectiveness ratio(ICER) of APPLE schools was CA$33,421 per QALY gained, and CA$1,555, CA$1,709 and CA$14,218 per prevented person years of excess weight, obesity and chronic disease, respectively. These estimates show that APPLE Schools is cost effective at a threshold of ICER < CA$50,000. In probabilistic sensitivity analysis, APPLE Schools was cost effective more than 64% of the time per QALY gained, when using a threshold of ICER<CA$50,000, and more than 93% of the time when using a threshold of ICER<CA$100,000. Conclusion School-based health promotion, such as APPLE Schools is a cost-effective intervention for obesity prevention and reduction of chronic disease risk over the lifetime. Expanding the coverage and allocating resources towards school-based programs like the APPLE Schools program, is likely to reduce the public health burden of obesity and chronic diseases.
Estimation of biodiesel properties from chemical composition – an artificial neural network (ANN) approach

Biodiesel, produced from renewable feedstock represents a more sustainable source of energy and will therefore play a significant role in providing the energy requirements for transportation in the near future. Chemically, all biodiesels are fatty acid methyl esters (FAME), produced from raw vegetable oil and animal fat. However, clear differences in chemical structure are apparent from one feedstock to the next in terms of chain length, degree of unsaturation, number of double bonds and double bond configuration-which all determine the fuel properties of biodiesel. In this study, prediction models were developed to estimate kinematic viscosity of biodiesel using an Artificial Neural Network (ANN) modelling technique. While developing the model, 27 parameters based on chemical composition commonly found in biodiesel were used as the input variables and kinematic viscosity of biodiesel was used as output variable. Necessary data to develop and simulate the network were collected from more than 120 published peer reviewed papers. The Neural Networks Toolbox of MatLab R2012a software was used to train, validate and simulate the ANN model on a personal computer. The network architecture and learning algorithm were optimised following a trial and error method to obtain the best prediction of the kinematic viscosity. The predictive performance of the model was determined by calculating the coefficient of determination (R2), root mean squared (RMS) and maximum average error percentage (MAEP) between predicted and experimental results. This study found high predictive accuracy of the ANN in predicting fuel properties of biodiesel and has demonstrated the ability of the ANN model to find a meaningful relationship between biodiesel chemical composition and fuel properties. Therefore the model developed in this study can be a useful tool to accurately predict biodiesel fuel properties instead of undertaking costly and time consuming experimental tests.
Limits of interval orders and semiorders

We study poset limits given by sequences of nite interval orders or, as a special case, nite semiorders. In the interval order case, we show that every such limit can be represented by a probability mea- sure on the space of closed subintervals of (0; 1), and we dene a subset of such measures that yield a unique representation. In the semiorder case, we similarly nd unique representations by a class of distribution functions.
[Goblet cell distribution and epithelial cell morphology in pterygium].

BACKGROUND Studies conducted to date on the distribution density of goblet cells and epithelial cell morphology in pterygium have yielded contradictory findings. OBJECTIVE To evaluate the density of goblet cells in pterygium and possible correlation between clinical and demographic features and goblet cell distribution. METHODS The methodology involved retrospective case series. The study sample included 45 consecutive patients undergoing bare sclera operation. Biopsy specimens were examined under light microscopy. The goblet cells were counted in four fields under X480 magnification and determined by the density range. Demographic features were evaluated for every patient. The relationships between elastosis, inflammation, congestion of blood vessels and the density range in goblet cell count were determined. RESULTS Distribution density of goblet cells was found to be homogenous among cases. In 16 cases (35%) the count showed more than 120 cells in a field, while in 13 cases (30%) the authors calculated under 15 cells in a field. In 27 cases (60%) there was a high rate of elastosis. In only 3 cases (6.6%) the authors found mild dysplasia of the epithelium. There was a low rate of congestion of blood vessels in only 5 cases (11%). In all cases inflammation was found. There was no significant correlation found with all demographic parameters evaluated. CONCLUSION There is a high rate of difference in the distribution and density of goblet cells in pterygia, without any correlation with demographic and clinical features listed. There is a variable elastosis rate, significant congestion of blood vessels and a low rate of dysplasia. All cases presented with chronic inflammatory reaction.
Medial Prefrontal Cortex: Adding Value to Imagined Scenarios

The medial prefrontal cortex (mPFC) is consistently implicated in the network supporting autobiographical memory. Whereas more posterior regions in this network have been related to specific processes, such as the generation of visuospatial imagery or the association of items and contexts, the functional contribution of the mPFC remains unclear. However, the involvement of mPFC in estimation of value during decision-making suggests that it might play a similar role in memory. We investigated whether mPFC activity reflects the subjective value of elements in imagined scenarios. Participants in an MRI scanner imagined scenarios comprising a spatial context, a physiological state of need (e.g., thirst), and two items that could be congruent (e.g., drink) or incongruent (e.g., food) with the state of need. Memory for the scenarios was tested outside the scanner. Our manipulation of subjective value by imagined need was verified by increased subjective ratings of value for congruent items and improved subsequent memory for them. Consistent with our hypothesis, fMRI signal in mPFC reflected the modulation of an item's subjective value by the imagined physiological state, suggesting the mPFC selectively tracked subjective value within our imagination paradigm. Further analyses showed uncorrected effects in non-mPFC regions, including increased activity in the insula when imagining states of need, the caudate nucleus when imagining congruent items, and the anterior hippocampus/amygdala when imagining subsequently remembered items. We therefore provide evidence that the mPFC plays a role in constructing the subjective value of the components of imagined scenarios and thus potentially in reconstructing the value of components of autobiographical recollection.
Efficient Amplification of Chimeric Adenovirus 5/40S Vectors Carrying the Short Fiber Protein of Ad40 in Suspension Cell Cultures

The human adenovirus 40 (Ad40) is a promising tool for gene therapy of intestinal diseases. Since the production of Ad40 in vitro is extremely inefficient, chimeric Adenovirus 5/40S vectors carrying the Ad40 short fiber on the Ad5 capsid have been developed. However, Ad5/40S productivity is low. We hypothesized that low productivity was a result of inefficient viral entry into producer cells during amplification. To this end, we have developed a production strategy based on using 211B cells (expressing Ad5 fiber) during amplification steps, while Ad5/40S infectivity is further improved by adding polybrene during infections. In addition, the optimal harvesting time was determined by evaluating the Ad5/40S viral cycle. The developed production strategy significantly reduces the number of amplification cycles and duration of the process. Finally, to further facilitate Ad5/40S production, 211B cells were adapted to suspension thus allowing to easily upscale the production process in bioreactors.
High levels of hepatitis B surface antigen increase risk of hepatocellular carcinoma in patients with low HBV load.

BACKGROUND & AIMS Patients with chronic hepatitis B virus (HBV) infection have a high risk for developing hepatocellular carcinoma (HCC). Patients with lower levels of hepatitis B surface antigen (HBsAg) have higher chances of losing HBsAg than those with high levels. However, little is known about whether higher levels of HBsAg increase risk for HCC. METHODS We followed 2688 Taiwanese HBsAg-positive patients without evidence of cirrhosis for a mean time period of 14.7 years. In addition to the known risk factors of HCC, we investigated the association between levels of HBsAg and development of HCC. RESULTS Of the patients followed, 191 developed HCC, with an average annual incidence rate of 0.5%. Baseline levels of HBsAg and HBV were associated with development of HCC, and risk increased with level. Compared to HBsAg level, by receiver operating characteristic curve analysis, HBV DNA level better predicted the development of HCC during 10-year and 15-year periods (both, P < .001). However, when we evaluated hepatitis B e antigen-negative patients with levels of HBV DNA <2000 IU/mL, factors that determined HCC risk included sex, age, and levels of alanine aminotransferase and HBsAg (≥1000 IU/mL), but not level of HBV DNA. Multivariate analysis showed that the adjusted hazard ratio for HCC in patients with levels of HBsAg ≥1000 IU/mL versus <1000 IU/mL was 13.7 (95% confidence interval: 4.8-39.3). CONCLUSIONS Among patients infected with HBV genotype B or C, determinants of HCC risk include their sex, age, hepatitis B e antigen status, HBV genotype, and levels of alanine aminotransferase and HBV DNA, but not level of HBsAg. Among hepatitis B e antigen-negative patients with low viral loads, HCC risk is determined by levels of HBsAg and alanine aminotransferase and age, but not HBV DNA.
Thyroid neoplasia, autoimmune thyroiditis, and hypothyroidism in persons exposed to iodine 131 from the hanford nuclear site.

CONTEXT Approximately 740,000 Ci (2.73 x 10(16) Bq) of iodine 131 (131I) were released to the atmosphere from the Hanford Nuclear Site in Washington State from 1944 through 1957. The risk of thyroid disease resulting from prolonged environmental 131I exposure is poorly understood. OBJECTIVE The Hanford Thyroid Disease Study (HTDS) was conducted to determine if thyroid disease is increased among persons exposed as children to atmospheric releases of 131I from Hanford. DESIGN Retrospective cohort study. Exposure could have occurred from December 1944 through 1957. Follow-up occurred until the time of the HTDS examination (December 1992-September 1997). Participants' thyroid radiation doses from Hanford's 131I releases were estimated from interview data regarding residence and dietary histories. SETTING The cohort included a sample of all births from 1940 through 1946 to mothers with usual residence in 1 of 7 counties in eastern Washington State. PARTICIPANTS Of 5199 individuals identified, 4350 were located alive and 3440 were evaluable; ie, had sufficient data for dose estimation and received an HTDS evaluation for thyroid disease, including a thyroid ultrasound, physical examination, and fine needle biopsy if required to evaluate thyroid nodularity. MAIN OUTCOME MEASURES Thyroid cancer, benign thyroid nodules, total neoplasia, any thyroid nodules, autoimmune thyroiditis, and hypothyroidism. RESULTS There was no evidence of a relationship between Hanford radiation dose and the cumulative incidence of any of the outcomes. These results remained unchanged after taking into account several factors that might confound the relationship between radiation dose and the outcomes of interest. CONCLUSION These results do not support the hypothesis that exposure during infancy and childhood to 131I at the dose levels (median, 97 mGy; mean, 174 mGy) and exposure circumstances experienced by our study participants increases the risk of the forms of thyroid disease evaluated in this study.
BK Virus Replication and Nephropathy After Alemtuzumab‐Induced Kidney Transplantation

BK virus nephropathy (BKVN) is a recognized cause of graft failure in kidney transplant recipients. There are limited data on the epidemiology of BK virus (BKV) infection after alemtuzumab induction. By clinical protocol, the kidney transplant recipients at our center were screened with BKV plasma PCR monthly for the first 4 months posttransplant then every 2–3 months for 2 years. A single center retrospective cohort study of all kidney transplant recipients from January 2008 to August 2010 was conducted to determine incidence and outcomes of BKV infection. Descriptive statistics and Kaplan–Meier analysis was performed. Of 666 recipients, 250 (37.5%) developed viruria, 80 (12%) developed viremia and 31 (4.7%) developed BKVN at a median of 17, 21 and 30 weeks, respectively. Induction with alemtuzumab did not significantly affect incidence of BKVN. Increased recipient age, African American race, acute graft rejection and CMV infection were significantly associated with the development of BKVN in multivariate analysis. The incidence of BK viruria, viremia and nephropathy was not significantly different among kidney transplant recipients who received alemtuzumab induction compared to patients receiving less potent induction.
Invasive Salmonella infections in areas of high and low malaria transmission intensity in Tanzania.

BACKGROUND The epidemiology of Salmonella Typhi and invasive nontyphoidal Salmonella (NTS) differs, and prevalence of these pathogens among children in sub-Saharan Africa may vary in relation to malaria transmission intensity. METHODS We compared the prevalence of bacteremia among febrile pediatric inpatients aged 2 months to 13 years recruited at sites of high and low malaria endemicity in Tanzania. Enrollment at Teule Hospital, the high malaria transmission site, was from June 2006 through May 2007, and at Kilimanjaro Christian Medical Centre (KCMC), the low malaria transmission site, from September 2007 through August 2008. Automated blood culture, malaria microscopy with Giemsa-stained blood films, and human immunodeficiency virus testing were performed. RESULTS At Teule, 3639 children were enrolled compared to 467 at KCMC. Smear-positive malaria was detected in 2195 of 3639 (60.3%) children at Teule and 11 of 460 (2.4%) at KCMC (P < .001). Bacteremia was present in 336 of 3639 (9.2%) children at Teule and 20 of 463 (4.3%) at KCMC (P < .001). NTS was isolated in 162 of 3639 (4.5%) children at Teule and 1 of 463 (0.2%) at KCMC (P < .001). Salmonella Typhi was isolated from 11 (0.3%) children at Teule and 6 (1.3%) at KCMC (P = .008). With NTS excluded, the prevalence of bacteremia at Teule was 5.0% and at KCMC 4.1% (P = .391). CONCLUSIONS Where malaria transmission was intense, invasive NTS was common and Salmonella Typhi was uncommon, whereas the inverse was observed at a low malaria transmission site. The relationship between these pathogens, the environment, and the host is a compelling area for further research.
Mnemonic and predictive functions of cortical neurons in a memory task

Single-neuron discharge was recorded from prefrontal and posterior parietal cortex in monkeys performing a visuo-motor memory task with temporal and spatial separation between cue (color) and directional manual response. During the delay interval between cue and response, neurons in both cortices engaged in two concurrent and reciprocal trends of discharge: (a) sensory- coupled, decelerating firing apparently related to color retention, or (b) motor-coupled, accelerating firing apparently related to the anticipated response direction. In both cortices, the acceleration of the direction-anticipating activity was related to the probability with which the animal could predict, and prepare for, the correct response site. Our findings suggest that neurons from prefrontal and parietal cortex are part of distributed networks, with representational and operational properties, for visuo- motor cognitive processing.
ACE inhibitors and AT-1-receptor antagonists COOPERATE in non-diabetic renal disease

The renin-angiotensin-aldosterone system has an important role in the progression of both diabetic and non-diabetic nephropathy. COOPERATE was set up to determine whether dual blockade of angiotensin-converting-enzyme (ACE) and the AT-1 receptor was more efficacious than either ACE inhibition or AT-1 antagonism alone in non-diabetic renal disease. The combined primary end point was of time to doubling of serum creatinine concentration or end stage renal disease. By year 3, 10 of 85 (11%) of the combination patients had reached the primary end point. This was significantly less than the 20 of 86 (23%) and 20 of 85 (23%) in the losartan and trandolapril groups, respectively. Combination treatment should be considered in non-diabetic renal disease especially if the disease is progressing with ACE treatment alone.
A Simple Method for Predicting Transmembrane Proteins Based on Wavelet Transform

The increasing protein sequences from the genome project require theoretical methods to predict transmembrane helical segments (TMHs). So far, several prediction methods have been reported, but there are some deficiencies in prediction accuracy and adaptability in these methods. In this paper, a method based on discrete wavelet transform (DWT) has been developed to predict the number and location of TMHs in membrane proteins. PDB coded as 1KQG is chosen as an example to describe the prediction process by this method. 80 proteins with known 3D structure from Mptopo database are chosen at random as data sets (including 325 TMHs) and 80 sequences are divided into 13 groups according to their function and type. TMHs prediction is carried out for each group of membrane protein sequences and obtain satisfactory result. To verify the feasibility of this method, 80 membrane protein sequences are treated as test sets, 308 TMHs can be predicted and the prediction accuracy is 96.3%. Compared with the main prediction results of seven popular prediction methods, the obtained results indicate that the proposed method in this paper has higher prediction accuracy.
Interactions between Innate Immunity, Microbiota, and Probiotics

The term “microbiota” means genetic inheritance associated with microbiota, which is about 100 times larger than the guest. The tolerance of the resident bacterial flora is an important key element of immune cell function. A key role in the interaction between the host and the microbiota is played by Paneth cell, which is able to synthesize and secrete proteins and antimicrobial peptides, such as α/β defensins, cathelicidin, 14 β-glycosidases, C-type lectins, and ribonuclease, in response to various stimuli. Recent studies found probiotics able to preserve intestinal homeostasis by downmodulating the immune response and inducing the development of T regulatory cells. Specific probiotic strain, as well as probiotic-driven metabolic products called “postbiotics,” has been recently recognized and it is able to influence innate immunity. New therapeutic approaches based on probiotics are now available, and further treatments based on postbiotics will come in the future.
Attachment and learning

Abstract Using the framework of Attachment Theory, and following on from Part 1, further patterns of Attachment Behaviour are described and linked to responses in the classroom. The Avoidant and Dis-organized patterns are described and linked to responses in the class-room to the teacher and to the educational task illustrated by examples from practice. Possibilities for intervention within a learning frame-work are presented and discussed with a view to enhancing teacher's understanding of classroom behaviour and their responses through practice.
INFLUENCE OF CONTRACTION VELOCITY IN UNTRAINED INDIVIDUALS OVER THE INITIAL EARLY PHASE OF RESISTANCE TRAINING

The purpose of this study was to determine the early phase adaptations in short-term traditional (TRT) versus superslow (SST) resistance training. Sixteen apparently healthy subjects participated in this study. Subjects were pretested and posttested for their 1 repetition maximums (1RM) in the squat and bench press, peak power in a countermovement jump (CMJ) and squat jump (SJ), and body composition using dual energy x-ray absorptiometry. Subjects participated in an 8-week resistance training program in either SST (n = 9, 3 men, 6 women), using 50% of 1RM, or TRT (n = 7, 3 men, 4 women), using 80% of 1RM. Both groups trained 3 days per week. The TRT and SST groups improved in strength by 6.8 and 3.6% in the squat exercise and by 8.6 and 9.1% in the bench press, respectively. Peak power for the CMJ increased significantly in the TRT group, from 23.0 ± 5.5 W/kg to 25.0 ± 6.3 W/kg; no such increase was seen with respect to the SST group. Both groups' 1RM increased significantly for both the bench press and the squat. No changes in body composition were seen for either group. The results of this study suggest that TRT is more effective for improving peak power than SST.
Developing a Market‐Oriented Learning Organisation

This study integrates the constructs of organisational change strategies, market orientation, top management behaviour, leadership style, learning orientation and business perfor Mance. A survey was sent to the top 2,000 organisations within Australia, as defined by annual revenue. Data was analysed using two‐stage least squares regression (2SLS). Findings indicate that both planned and emergent change strategies significantly influence market orientation. Results also indicate that top management behaviour, and leadership style significantly impact on a learning orientation. Finally, results indicate that a market orientation is positively related to a learning orientation and that a learning orientation has a stronger significant positive effect on business perfor Mance than does a market orientation.
Accurate and scalable reliability analysis of logic circuits

Reliability of logic circuits is emerging as an important concern that may limit the benefits of continued scaling of process technology and the emergence of future technology alternatives. Reliability analysis of logic circuits is NP-hard because of the exponential number of inputs, combinations and correlations in gate failures, and their propagation and interaction at multiple primary outputs. By coupling probability theory with concepts from testing and logic synthesis, this paper presents accurate and scalable algorithms for reliability analysis of logic circuits. Simulation results for several benchmark circuits demonstrate the accuracy, performance, and potential applications of the proposed analysis technique