Miracle-dz/UniFAR-FTUs huggingface dataset:
Process Simulation of Single and Dual Frequency Induction Surface Hardening Considering Magnetic Nonlinearity

A 2D computational model of single and simultaneous dual frequency induction hardening has been developed. Process specific aspects such as the nonlinear magnetic material behavior and phase transformation kinetics of quenched and tempered AISI 4140 are considered. Induction surface hardening experiments have been conducted for validation purposes. The measuring methodologies used to extract input data such as the magnetic material behavior, the current, and the effective heating time are presented. Metallurgical characterization and hardness profiles are compared with the results obtained from simulations. The temperature history, hardness depth profile, and hardness distribution are in good agreement.
Performance assessment of service differentiation in IEEE 802.11e Wireless LANs

This paper proposes a performance assessment scheme for service differentiation provisioning for IEEE 802.11e EDCF. The analytical model is developed based on queueing theory to derive the state probabilities and transition probabilities, and the mean waiting time and loss probability of those two queues. It is expected that our scheme not only provide the QoS of real-time traffic but also not sacrifice the non real-time traffic. The network performance of the queueing model is validated and compared by simulation in terms of mean waiting time and loss probability. The established mathematical model can be extended to the existing four queues models.
Ovarian Damages Produced by Aerosolized Fine Particulate Matter (PM2.5) Pollution in Mice: Possible Protective Medications and Mechanisms

Background: Ambient aerosol fine particulate matter (PM2.5) is associated with male reproductive toxicity in experiments and may have adverse effects in the female. However, studies evaluating the protective effects and precise mechanisms of aspirin, Vitamin C, Vitamin E, or ozone against toxic effects of PM2.5 are sparse. This study was conducted to investigate the possible protective effects and mechanisms of aspirin, Vitamin C, Vitamin E, or ozone on fertility in female mice treated with PM2.5. Methods: Eighty-four ICR mice were divided into six groups: control group, PM2.5 group, PM2.5 + aspirin group, PM2.5 + Vitamin C group, PM2.5 + Vitamin E group, and PM2.5 + ozone group. PM2.5 was given by intratracheal instillation every 2 days for 3 weeks. Aspirin, Vitamin C, and Vitamin E were given once a day by oral gavage for 3 weeks, and ozone was administered by intraperitoneal injection once a day for 3 weeks. The levels of anti-Müllerian hormone (AMH), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-&agr;), and 8-hydroxy-2’-deoxyguanosine (8-OHdG) were measured using enzyme-linked immunosorbent assay. Western blotting analysis was used to analyze the expressions of Bcl-2, Bax, and caspase-3 in ovaries. Changes in histological structure were examined by light microscope and electron microscopy was used to detect ultramicrostructure. Results: The results demonstrated that PM2.5 decreased AMH levels (P < 0.001); however, aspirin (P < 0.001), Vitamin C (P < 0.001), Vitamin E (P = 0.001), and ozone (P = 0.002) alleviated the decrease. Changes of IL-6, TNF-&agr;, 8-OHdG, Bax/Bcl-2, and caspase-3 in PM2.5 group were increased compared to control group (P < 0.001), while in PM2.5 + aspirin, PM2.5 + Vitamin C, PM2.5 + Vitamin E, and PM2.5 + ozone groups, they were statistically decreased compared to PM2.5 group (P < 0.001 or P < 0.05). Conclusions: PM2.5 cause the damage of ovaries, and aspirin, Vitamin C, Vitamin E, and ozone antagonizes the damage. The protective mechanism is probably due to its ability to blunt the inflammatory and oxidative stress caused by PM2.5, which subsequently suppressing the expression of apoptotic regulatory protein and reducing the incidence of ovary apoptosis.
Front-Loading Sputum Microscopy Services: An Opportunity to Optimise Smear-Based Case Detection of Tuberculosis in High Prevalence Countries

Setting. Ethiopia, Nepal, Nigeria, and Yemen. Objective. To reduce the time to complete sputum microscopy. Design. Cross-sectional surveys enrolling 923 patients with chronic cough in the 4 countries and using similar protocols. Spot-morning-spot sputum specimens were collected. An additional sputum specimen (Xspot) was collected one hour after the first, and the yields of the first two or the three specimens collected as spot-morning-spot or spot-Xspot-morning were compared. Results. 216 patients had ≥ one positive smear. 210 (97%) were identified by the spot-morning-spot, and 210 (97%) were identified by the spot-Xspot-morning specimens, with 203 and 200 identified by the first 2 specimens of each approach, respectively. Neither difference was significant. Conclusions. The time to complete smear microscopy could be reduced.
An Improved Fuzzy Based Missing Value Estimation in DNA Microarray Validated by Gene Ranking

Most of the gene expression data analysis algorithms require the entire gene expression matrix without any missing values. Hence, it is necessary to devise methods which would impute missing data values accurately. There exist a number of imputation algorithms to estimate those missing values. This work starts with a microarray dataset containing multiple missing values. We first apply the modified version of the fuzzy theory based existing method LRFDVImpute to impute multiple missing values of time series gene expression data and then validate the result of imputation by genetic algorithm GA based gene ranking methodology along with some regular statistical validation techniques, like RMSE method. Gene ranking, as far as our knowledge, has not been used yet to validate the result of missing value estimation. Firstly, the proposed method has been tested on the very popular Spellman dataset and results show that error margins have been drastically reduced compared to some previous works, which indirectly validates the statistical significance of the proposed method. Then it has been applied on four other 2-class benchmark datasets, like Colorectal Cancer tumours dataset GDS4382, Breast Cancer dataset GSE349-350, Prostate Cancer dataset, and DLBCL-FL Leukaemia for both missing value estimation and ranking the genes, and the results show that the proposed method can reach 100% classification accuracy with very few dominant genes, which indirectly validates the biological significance of the proposed method.
Publication Bias in Psychology: A Diagnosis Based on the Correlation between Effect Size and Sample Size

Background The p value obtained from a significance test provides no information about the magnitude or importance of the underlying phenomenon. Therefore, additional reporting of effect size is often recommended. Effect sizes are theoretically independent from sample size. Yet this may not hold true empirically: non-independence could indicate publication bias. Methods We investigate whether effect size is independent from sample size in psychological research. We randomly sampled 1,000 psychological articles from all areas of psychological research. We extracted p values, effect sizes, and sample sizes of all empirical papers, and calculated the correlation between effect size and sample size, and investigated the distribution of p values. Results We found a negative correlation of r = −. 45 [95% CI: −. 53; −. 35] between effect size and sample size. In addition, we found an inordinately high number of p values just passing the boundary of significance. Additional data showed that neither implicit nor explicit power analysis could account for this pattern of findings. Conclusion The negative correlation between effect size and samples size, and the biased distribution of p values indicate pervasive publication bias in the entire field of psychology.
Towards self-assembled structures with mobile climbing robots

Social insects have evolved to self-assemble ad-hoc structures from their bodies to quickly adapt to unexpected obstacles and situations. Inspired by these natural systems, we present an autonomous tread-based robot which is capable of using its own body as a building block for assembling structures. We analytically assess the optimality of the robot design, and experimentally test its ability to climb over like robots under varying conditions. Finally, using a simple self-assembly algorithm relying on only local sensing, robot prototypes are used to demonstrate the self-assembly of a 2D pyramid structure.
Controller design for a class of underactuated nonlinear systems

We design a controller for a class of underactuated nonlinear systems. First, we try to find an appropriate global change of coordinates to transform the dynamics of the system into a desired form which consists of a lower order nonlinear subsystem plus a chain of integrators. Then, we find a control Lyapunov function (CLF) and its associated control law for the lower order subsystem. Finally, using a backstepping procedure we derive the control Lyapunov function and the controller for the whole system. The obtained controller renders the origin semiglobally asymptotically stable. As an special case, we demonstrate this procedure for the Acrobot example which is a two-link planar robot with a single actuator at the elbow.
Effects of education on self-monitoring of blood pressure based on BASNEF model in hypertensive patients

BACKGROUND: Hypertension is one of the most important health problems. Self-monitoring may be an effective method for controlling this disease. The aim of this study is to determine the effectiveness of education on blood pressure self-monitoring in patients with hypertension based on BASNEF model. METHODS: In this clinical trial, 150 outpatients with hypertension were randomly selected from those referred to private clinics in Yazd, Iran, during 2008. They were divided in two groups. The data were collected by a validated and reliable questionnaire. The implementing educational program was continued for 2 months and the pre-test and post-test had an interval of 2-months. BASNEF model was applied to explain the motivation of a behavior. Descriptive analysis, correlation test and also regression analysis were used to analyze data. RESULTS: The respondents acquired 17.72% of total score for self-monitoring behavior, 47.03% of attitude, 12.37% of subjective norms, 33.46% of intention and 50.95% of enabling factors. After intervention, there were significant increases in self-monitoring behavior (173.31%), attitude (62.60%), subjective norms (54.70%), intention (129.93%) and enabling factors (46.62%) in the intervention group. There was no significant difference between the constructs of BASNEF model in the control group after intervention compared to the baseline values (p > 0.05). CONCLUSIONS: The results of this study showed that the level of self-monitoring behavior in the patients was low. Educational programs are helpful and necessary to improve self-monitoring behavior in patients with hypertension.
Patient and parental self-reports of executive functioning in a sample of young female adolescents with anorexia nervosa before and after cognitive remediation therapy.

OBJECTIVE Previous studies assessing the potency of cognitive remediation therapy (CRT) have largely focused on performance-based assessments and how these change during the course of the intervention. Little is known of behavioural manifestations of such changes, and no previous studies have studied parental reports before and after CRT. METHOD Patient and parental self-reports of executive function using the Behaviour Rating Inventory of Executive Function (BRIEF) were obtained for 17 adolescent patients in treatment for anorexia nervosa before and after CRT. RESULTS Results indicated that patients scored significantly lower on the BRIEF shift subscale after CRT, whereas parental reports revealed significantly lower scores on the shift and emotional control subscales, and on the two composite indices Behavioural Regulation Index and Global Executive Composite. Case-wise comparisons support variations in executive functions in adolescents with anorexia nervosa. DISCUSSION Changes are evaluated in light of the relationship between patients and parents and with regard to the limitations of the study design.
Histogram-steered image denoising in the Bayesian framework

Rather than concentrating on modeling the image prior probability whose structure is defined locally, in this paper we incorporate the global information from a histogram into the Bayesian method for image de-noising. The key insight is that the histogram of an underlying image can be approximately recovered from the image with additive noise by a deconvolution operation. We test our algorithm in an image set commonly used for denoising test, and obtain improved results.
Electrical currents flow out of domes formed by cultured epithelial cells

Domes are localized areas of fluid accumulation between a cultured epithelial cell monolayer and the impermeable substratum on which the cells are cultured in vitro. Dome formation has been documented in a variety of epithelial cell lines that retain their transepithelial transport properties in vitro. However, it is not known whether domes are predominantly areas of specific active transport, or, alternatively, are predominantly areas of relative weak attachment to the culture surface. In the present study we adapted a vibrating microelectrode, which can detect small currents flowing in extracellular fluid, to determine if current was flowing into or out of domes and thereby to determine if domes were specialized areas of active transport. We used alveolar type II cells as the main epithelial cell type because they readily form domes in vitro and because they transport sodium from the apical to the basal surface. We found that electrical current flowed out of domes. The direction of the current was independent of the size of a dome, of the age of an individual dome, and of the number of days in primary culture for alveolar epithelial cells. This current was inhibited by amiloride and ouabain and was dependent on sodium in the medium. We made similar observations (outward current from domes which is blocked by amiloride and by sodium substitution) with domes formed by the Madin-Darby canine kidney cell line. The data support the hypothesis that sodium is transported across the entire monolayer and leaks back mainly through the domes. We conclude that domes in epithelial monolayers are not predominantly special sites of active transport but are more likely simply areas of weak attachment to the substratum.
Prognostic value of plasma midregional pro‐adrenomedullin and C‐terminal‐pro‐endothelin‐1 in chronic heart failure outpatients

The identification of chronic heart failure (CHF) patients at high risk of adverse outcome remains a challenge. New peptides are emerging that may give additional information. In CHF patients, endothelin (ET) levels predict mortality risk. Adrenomedullin has been shown to predict mortality in ischaemic heart failure, but not in unselected or non‐ischaemic CHF patients. Moreover, ADM and ET have never been assessed in one model. The aim of the present study was to assess the prognostic value of midregional‐pro‐adrenomedullin (MR‐proADM) and C‐terminal‐pro‐endothelin‐1 (CT‐proET‐1) in outpatients with CHF.
A Simple Robust Controller for the Approximate Regulation of Almost Periodic Signals for Linear Systems

By using a delay line as a signal generator, we design a simple robust controller for the approximate regulation (i.e., approximate asymptotic tracking and rejection) of almost periodic signals for linear systems. As opposed to the related existing results, our controller design does not require online parameter tuning. Besides the usual assumptions about stabilizability, detectability, and nonexistence of transmission zeros for the plant, the controller design algorithm of this paper only requires knowledge of the desired tracking accuracy . Based on this information alone, we can only design a robust controller achieving, in the presence of unknown trigonometric polynomial disturbances and additive perturbations to the plant and the controller, . Here, is the output of the plant and is an arbitrary almost periodic reference signal taken from an infinite-dimensional generalized Sobolev space of almost periodic functions. In this paper, we also study robust output regulation in the limiting case where . It turns out that, due to the general loss of exponential closed loop stability, asymptotic tracking/rejection can also be lost as , unless the exogenous signals are smooth enough. This last result extends some recent theorems on (nonrobust) open loop output regulation for infinite-dimensional exosystems. The results of this paper are new and potentially useful for finite-dimensional plants, but the main results are also true for infinite-dimensional systems with bounded control and observation operators.
The treatment of postprandial hypotension in autonomic failure with 3,4-DL-threo-dihydroxyphenylserine

Postprandial hypotension occurs commonly in patients with autonomic failure and may be due to attenuation of the normal sympathetic nervous system activation in response to meal ingestion.In a randomized, double-blind, placebo-controlled study, we investigated the therapeutic effect of the norepinephrine precursor 3,4-DL-threo-dihydroxyphenylserine (DL-DOPS) on this condition. We measured blood pressure, heart rate, forearm vascular resistance, and plasma DL-DOPS and norepinephrine in 11 patients with autonomic failure. DL-DOPS attenuated the postprandial fall in blood pressure. This was associated with an increase in plasma norepinephrine and forearm vascular resistance. DL-DOPS therapy did not change the postprandial increase in heart rate. There was a trend toward increased supine hypertension associated with DL-DOPS treatment. This study shows that DL-DOPS is a promising treatment for postprandial hypotension and provides support for the hypothesis that postprandial hypotension is, at least in part, due to decreased activation of the sympathetic nervous system. NEUROLOGY 1996;47: 1414-1420
Differential expression of two neuronal intermediate-filament proteins, peripherin and the low-molecular-mass neurofilament protein (NF-L), during the development of the rat

The expression of peripherin, an intermediate filament protein, had been shown by biochemical methods to be localized in the neurons of the PNS. Using immunohistochemical methods, we analyzed this expression more extensively during the development of the rat and compared it with that of the low-molecular-mass neurofilament protein (NF-L), which is expressed in every neuron of the CNS and PNS. The immunoreactivity of NF-L is first apparent at the 25-somite stage (about 11 d) in the ventral horn of the spinal medulla and in the posterior part of the rhombencephalon. The immunoreactivity of peripherin appears subsequently, first colocalized with that of NF-L. Both immunoreactivities then spread out along rostral and caudal directions, but whereas the immunoreactivity of NF-L finally becomes noticeable in every part of the nervous system, that of peripherin remains localized to (1) the motoneurons of the ventral horn of the spinal medulla; (2) the autonomic ganglionic and preganglionic neurons; and (3) the sensory neurons. These results demonstrate that, in the neurons that originate from migrating neural crest cells, the immunoreactivities of peripherin and of NF-L become apparent only when they have reached their destination. The results also show that peripherin is expressed more widely than has been previously observed and that this protein occurs in neuronal populations from different lineages (neural tube, neural crest, placodes) with different functions (motoneurons, sensory and autonomic neurons). The common point of these neurons is that they all have axons lying, at least partly, at the outside of the axis constituted by the encephalon and the spinal medulla; this suggests that peripherin might play a role in the recognition of the axonal pathway through the intermediary of membrane proteins.
QoS in wireless sensor networks: survey and approach

A wireless sensor network (WSN) is a computer wireless network composed of spatially distributed and autonomous tiny nodes -- smart dust sensors, motes -, which cooperatively monitor physical or environmental conditions. Nowadays these kinds of networks support a wide range of applications, such as target tracking, security, environmental control, habitat monitoring, source detection, source localization, vehicular and traffic monitoring, health monitoring, building and industrial monitoring, etc. Many of these applications have strong requirements for end-to-end delay and losses during data transmissions. In this work we have classified the main mechanisms that have been proposed to provide Quality of Service (QoS) in WSN at Medium Access Control (MAC) and network layers. Finally, taking into account some particularities of the studied MAC- and network-layer protocols, we have selected a real application scenario in order to show how to choose an appropriate approach for guaranteeing performance in a WSN deployed application.
The Complexity of Model Checking for Belief Revision and Update

One of the main challenges in the formal modeling of common-sense reasoning is the ability to cope with the dynamic nature of the world. Among the approaches put forward to address this problem are belief revision and update. Given a knowledge base T, representing our knowledge of the "state of affairs" of the world of interest, it is possible that we are lead to trust another piece of information P, possibly inconsistent with the old one T. The aim of revision and update operators is to characterize the revised knowledge base T′ that incorporates the new formula P into the old one T while preserving consistency and, at the same time, avoiding the loss of too much information in this process. In this paper we study the computational complexity of one of the main computational problems of belief revision and update: deciding if an interpretation M is a model of the revised knowledge base.
National Science and Technology Institute for Translational Medicine (INCT-TM): advancing the field of translational medicine and mental health.

OBJECTIVE Translational medicine has been described as the integrated application of innovative pharmacology tools, biomarkers, clinical methods, clinical technologies and study designs to improve the understanding of medical disorders. In medicine, translational research offers an opportunity for applying the findings obtained from basic research to every-day clinical applications. The National Science and Technology Institute for Translational Medicine is comprised of six member institutions (Universidade Federal do Rio Grande do Sul, Universidade de São Paulo-Ribeirão Preto, Universidade Federal do Rio de Janeiro, Pontifícia Universidade Católica do Rio Grande do Sul, Universidade Estadual de Santa Catarina and a core facility that serves all centers). The objectives of the project are divided into four areas: Institutional, Research, Human Resources and Technology for the Community and Productive Sector. METHOD In this manuscript, we describe some of the approaches used to attain the main objectives of the National Science and Technology Institute for Translational Medicine, which include the development of 1) animal models for bipolar disorder; 2) strategies to investigate neurobehavioral function and cognitive dysfunction associated with brain disorders; 3) experimental models of brain function and behavior, neuropsychiatric disorders, cell proliferation, and cancer; 4) Simulated Public Speaking and 5) Virtual reality simulation for inducing panic disorder and agoraphobia. CONCLUSION The main focus of the National Science and Technology Institute for Translational Medicine is the development of more useful methods that allow for a better application of basic research-based knowledge to the medical field.