Miracle-dz/UniFAR-FTUs huggingface dataset:
The internet-informed patient and cancer screening adherence: The role of patient-physician communication

of a dissertation at the University of Miami. Dissertation supervised by Associate Professor Seth J. Schwartz. No. of pages in text (111) Breast, cervical, and colorectal cancers have population-based effective screenings that are recommended for individuals of a certain age and sex, while prostate cancer screening is controversial. People often seek information from various sources about cancer and health behaviors, and in the information age, this information may come from the Internet. Furthermore, individuals who see their physicians may be influenced by how well they communicate with their healthcare providers when deciding on health behaviors such as cancer screenings. Getting screened for breast, cervical, and colorectal cancer at the recommended intervals is linked to decreases in mortality rates for those cancers. While prostate cancer screening is not linked to decreases in mortality, the screening is often used by men without cancer risk factors. This study seeks to study the association between information seeking, both from the Internet and other sources, and cancer screening guideline adherence for breast, cervical, and colorectal cancers, and screening rates for prostate cancer, and to determine the role that patient-physician communication plays in that relationship.
No Line Left Behind: Assortative Matching Inside the Firm

How do firms pair workers with managers, and which constraints affect the allocation of labor within the firm? We characterize the sorting pattern of managers to workers in a large readymade garment manufacturer in India, and then explore potential drivers of the observed allocation. Workers in this firm are organized into production lines, each supervised by a manager. We exploit the high degree of worker mobility across lines, together with worker-level productivity data, to estimate the sorting of workers to managers. We find negative assortative matching (NAM) -- that is, better managers tend to match with worse workers, and vice versa. This stands in contrast to our estimates of the production technology, which reveal that if the firm were to positively sort, productivity would increase by 1 to 4 percent across the six factories in our data. Coupling these findings with a survey of managers and with data on multinational brands and the orders they place, we document that NAM arises, at least in part, because the value of buyer relationships imposes minimum productivity constraints on each production line. Our results emphasize that suppliers to the global market, when they are beholden to a small set of powerful buyers, may be driven to allocate managerial skill to service these relationships, even at the expense of productivity.
Habit Formation and the Misallocation of Labor: Evidence from Forced Migrations

We use a research design created by forced migrations to examine the costs and benefits of leaving agriculture in mid-20th century Finland. After World War II, 11% of the Finnish population were resettled from areas ceded to the Soviet Union. Entire rural communities were moved to locations that resembled the origin areas, and displaced farmers were given land and assistance to establish new farms. Despite this policy of reconstructing the pre-war situation, forced migration increased the likelihood of switching to non-agricultural jobs and moving to urban areas. Consequently, forced migration also increased the long-term income of the displaced rural population. By contrast, forced migration decreased the income of the resettled urban population. We examine the extent to which these effects can be explained by the quality of the new farms, human capital investments, networks and discrimination but do not find evidence supporting these mechanisms. Instead, we argue that habit formation towards residential locations provides the most compelling rationalization for our results.
EFFECTS OF INCENTIVE AND GENDER ON FRACTION PROBLEMS SOLVING SKILL ACQUISITION AMONG SENIOR SECONDARY SCHOOL STUDENTS

The poor performance of students in mathematics has been a major concern for education stakeholders over the years. One of the reasons ascribed to this is the absence of incentives from the government to the students. The study investigates the effects of incentive and gender on fraction problems solving skill acquisition. The participants comprised of 40 (20 males and 20 females) senior secondary II students selected through a simple random sampling technique. Two hypotheses were postulated and tested to guide the conduct of the study. The design of the study was an experimental control group research design and t-test statistics was used to test the hypotheses. The null hypothesis HO1 was rejected at 0.05 level of significant. There was statistically significant difference in the fraction problems solving skill acquisition between incentive group and no incentive group. The null hypothesis HO2 was accepted at 0.05 level of significant. There was no statistically significant difference in the fraction problems solving skill acquisition between males and females incentive group. Findings were discussed and suggestions made for students‟ better performance in mathematics.
THE PREVALENCE OF SEN VIRUS GENOTYPES IN BAGHDAD CITY

SEN virus (SEN V) is one of worldwide incidence of blood borne pathogen. The most dominant genotypes among the nine genotypes of the SEN virus are SENV-D and H. The objective of this research was to determine the frequency of SENV genotypes particularly SENV- D and H genotypes in healthy Iraqi participant’s sera. Totally, 200 serum samples from healthy voluntaries were collected from both gender as well as subjected to nested PCR. SENV-D was detected in 30% healthy individuals and more frequent in tested male 51.25 than in female individuals 48.75%. The frequency of SENV-H was found in 5% of participants. SENV-D is the dominant strain in the Iraqi studied group followed by genotypes H. phylogenetic tree analysis of virus near-complete open-reading frame 1(ORF1), was performed, and the evolutionary relationship indicated that local isolates were very close to the group that included the Asian isolates.
The influence of organic matter on acoustical properties of soil

Organic matter influences physical and mechanical properties of soils. Samples collected from a long-term agriculture experiment involving different treatments, have been subjected to differential thermal analysis (DTA) to deduce the organic matter content and its composition. Water release characteristics and soil strength have been measured with the suction plate method and indirect tension method, respectively. Impedance tube measurements made on sand samples with various water content show that soil surface absorption decreases with increasing water content. Changes in absorption coefficient spectra deduced from impedance tube measurements on soil samples extracted from the long-term agriculture experiment involving different organic matter content but similar water content, are consistent with predictions of the effects of changes in porosity and permeability in rigid-porous air-filled media.
Airway management in children

Introduction Paediatric airway management remains the most daunting task before the anaesthesiologist. However, the laryngeal structures are so soft and pliable that external laryngeal manipulation of the airway makes the task much easier than expected. Often in the absence of a fibreoptic scope unconventional or alternative methods are used to secure the airway with success. Success of any such technique depends upon constant maintenance of an unobstructed airway and sufficient satisfactory depth of anaesthesia during the airway manipulation.1
Prescription pattern study in type 2 diabetes mellitus in diabetic out patients in private clinics in Kerman, Iran.

Aims: Diabetes mellitus (DM) is a chronic disease associated with significant morbidity and mortality. The present study was carried out to assess prescribing practice for oral antidiabetic drugs in type 2 diabetes mellitus patients seen in diabetic outpatients in private clinics in Kerman, Iran. Study Design: Retrospective analysis of prescription pattern for type 2 diabetic outpatients. Place and Duration of Study: Diabetic clinics in Kerman city, Iran, (from 1 st
Role of Polymerase Chain reaction (PCR) amplifying conserved 5.8S and ITS regions of the cryptococcal DNA in the diagnosis of Cryptococcal meningitis

Cryptococcus neoformans, a common fungal pathogen of the central nervous system, results in high morbidity and mortality, unless diagnosed early and specific treatment instituted. The efficacy of the currently available tests for diagnosis (i.e. microscopy and latex agglutination test) are limited. The purpose of the present study was to evaluate a polymerase chain reaction (PCR) test for the diagnosis of cryptococcal meningitis. This cross-sectional prospective study was carried out in a large tertiary care hospital, Pune, India during April 2009 to February 2012. A total of 111 cerebrospinal fluid (CSF) samples were collected from patients with suspected cryptococcal meningitis. All samples were processed for microscopy, culture, antigen detection by Cryptococcal Antigen Latex Agglutination System (CALAS) and PCR using specific primers CN4/CN5. The PCR was evaluated using culture as the gold standard and results compared with those obtained by microscopy and latex agglutination. In the present study 55(49.54%) had laboratory confirmed cryptococcal meningitis (either smear/CALAS/culture/PCR positive). The sensitivity of PCR, antigen detection test and microscopy was 100%, 89.19% and 78.4% respectively while the specificity of these tests was 82.43%, 85.14% & 90% respectively. The positive predictive value of the PCR was 74% and the negative predictive value was 100%. The PCR technique proved to be a rapid and reliable technique for the early diagnosis of cryptococcal meningitis. South East Asia Journal of Public Health Vol.4(2) 2014: 31-35
Bladder outlet obstruction and hypertrophy: mechanisms and consequences

The urinary bladder stores urine for most of the day, a process facilitated by β-adrenergic receptor-mediated detrusor relaxation and α1-adrenergic receptor-mediated contraction of the bladder neck. Physiological voiding is caused by detrusor contraction induced by muscarinic receptor stimulation. This manuscript reviews data on alterations of α1and β-adrenergic and of muscarinic responsiveness of the detrusor related to gender, developmental maturation, ageing and pathophysiological conditions such as diabetes, arterial hypertension and bladder outlet obstruction, all of which can be associated with alterations of bladder function such as bladder overactivity. The existing data show that none of the conditions associated with bladder overactivity exhibit increased muscarinic receptor responsiveness which could explain the clinical observations; while not being fully consistent, they if anything show a reduced responsiveness. On the other hand, more limited data demonstrate that α1-adrenergic responsiveness may be enhanced and β-adrenergic responsiveness reduced in states associated with bladder overactivity. However, the existing data are too sparse and/or too inconsistent to allow definitive conclusions. Thus, alterations distinct from those of autonomic receptors may be better candidates to explain bladder dysfunction. proefschrift Barendrecht.indb 10 20-10-2008 13:11:21
Protein binding and α : β anomer ratio of dihydroartemisinin in vivo

Aims To determine the ratio of α : β anomers and the protein binding of dihydroartemisinin (DHA) in vivo. Methods 10-[3H]-DHA was synthesized by reduction of artemisinin with sodium boro-[3H]-hydride and purified with preparative thin layer chromatography. A solution of 3H-DHA (2000 ng in 20 µl) was added to 2 ml whole blood from 15 healthy volunteers and 22 Vietnamese patients with falciparum or vivax malaria. The blood was centrifuged and the plasma stored at −25 °C until analysed by HPLC with radiochromatographic detection. Protein-free ultrafiltrate of the plasma was assayed to determine the free fraction of DHA and the in vivo ratio of α-DHA : β-DHA. Results The DHA fraction unbound (mean ± SD) was 0.068 ± 0.032 in Vietnamese patients with falciparum malaria (n = 17), 0.065 ± 0.009 in Vietnamese patients with vivax malaria (n = 5), 0.117 ± 0.015 in Vietnamese volunteers (n = 7) and 0.092 ± 0.020 in Caucasian volunteers (n = 8). The ratios of α-DHA : β-DHA for the four groups were 6.3 ± 0.9, 6.9 ± 0.8, 6.9 ± 0.6 and 5.4 ± 0.8, respectively. Conclusions DHA is approximately 93% protein-bound in patients with malaria infection and there is a preferential existence in vivo of the α-DHA anomer. Knowledge of this stereochemistry may be valuable in elucidation of the mechanisms of DHA action and/or toxicity, and in the synthesis of new trioxane antimalarials.
Trust the Experienced ? Investigating the Effect of Experience on Decision Making in the Crowd

Companies increasingly use the crowd for collective decision making. Currently the most popular approach used to aggregate multiple decisions is majority voting. This approach however can lead to suboptimal outcomes by, on the one hand, neglecting different levels of individuals’ experiences and, on the other, ignoring decision biases to which individuals are prone. As an alternative to simply averaging judgements, researchers have proposed weighted models that favor more experienced judges in the crowd. However, previous research is inconclusive as to whether more experienced judges are any better at avoiding decision biases. To shed light on this question, we conduct several experiments using the well-established bias known as the anchoring effect. Results indicate that a greater level of experience does not decrease reviewers’ tendency to follow the displayed anchor, and consequently does not reduce their proneness to decision bias.
How should we teach cardiopulmonary resuscitation ? Randomized multi-center study Running title : Teaching cardiopulmonary resuscitation

Background: A 2017 update of the resuscitation guideline indicated the use of CPR feedback devices as a resuscitation teaching method. The aim of the study was to compare the influence of two techniques of cardiopulmonary resuscitation teaching on the quality of resuscitation performed by medical students. Methods: The study was designed as a prospective, randomized, simulation study and involved 115 first year students of medicine. The participants underwent a Basic Life Support course based on the American Heart Association guidelines, with the first group (experimental group) performing chest compressions to observe, in real-time, chest compression parameters indicated by software included in the simulator, and the second group (control group) performing compressions without this possibility. After a 10-minute resuscitation, the participants had a 30minute break and then a 2-minute cycle of cardiopulmonary resuscitation. One month after the training, study participants performed cardiopulmonary resuscitation, without the possibility of observing real-time measurements regarding quality of chest compression. Results: One month after the training, depth of chest compressions in the experimental and control group was 50 mm (IQR 46–54) vs. 39 mm (IQR 35–42; p = 0.001; Fig. 2). , compression rate 116 CPM (IQR 102–125) vs. 124 CPM (IQR 116–134; p = 0.034), chest relaxation 86% (IQR 68–89) vs. 74% (IQR 47–80; p = 0.031) respectively. Conclusions: Observing real-time chest compression quality parameters during Basic Life Support training may improve the quality of chest compression one month after the training including correct hand positioning, compressions depth and rate compliance.
The Rhadamanthys Quality of Context Architecture

With the rising number of Internet of Things devices and context providers, the need for sorting and selecting them according to user requirements and to the quality of sensed information becomes prevalent. Thus, this paper presents the Rhadamanthys architecture, designed to fulfill this requirement using Quality of Context information for both ranking and selection. Individual Quality of Context criteria as defined in the literature are evaluated for each available provider and used in formulae to obtain a single score that enables ranking and allows selection.
MONITORAMENTO DE COMPOSTAGEM EM PEQUENA ESCALA MONITORING OF SMALL SCALE COMPOSTING

The increase in solid waste production has motivated the creation of new technologies for the disposal of waste and sewage. Organic waste represents 50% of all solid waste production in Brazilian cities, however, most of it is incorrectly disposed of. A solution to this issue is the composting process, which converts biodegradable waste into sanitized and stabilized organic matter and can be used as fertilizer in agriculture and in domestic gardens. Thus, the present work aimed to quantify the nutrient composition of a small-scale composting and analyze the entire process. To perform this, five windrows with 1m3 were created with different composition each, varying from 30 and 70% of pruning and market organic waste. The results found that the windrows varied form 49.9 to 56°C, the pH were 9, while the inorganic and organic parameters were similar to conventional composting. It was concluded that small scale composting is a viable alternative to solid waste disposal.
C L ] 1 4 O ct 2 01 9 Q 8 BERT : Quantized 8 Bit BERT

Recently, pre-trained Transformer [14] based language models such as BERT [3] and GPT [9], have shown great improvement in many Natural Language Processing (NLP) tasks. However, these models contain a large amount of parameters. The emergence of even larger and more accurate models such as GPT2 [8] and Megatron, suggest a trend of large pre-trained Transformer models. As a result, using these models in production environments is a complex task requiring a large amount of compute, memory and power resources. In this work, we show how to perform quantization-aware training during the fine tuning phase of BERT in order to compress BERT by 4× with minimal accuracy loss. Furthermore, the produced quantized model can accelerate inference speed by optimizing it to 8bit Integer supporting hardware.
Evaluating the International Competitiveness of Vietnam Wood Processing Industry by Combining the Variation Coefficient and the Entropy Method

Indicators measuring industrial international competitiveness are being continuously improved. However, so far, there is no unified perfect indicator to measure the level of international competitiveness of the industry. Based on the market share index (MS), trade competitiveness index (TC), revealed comparative advantage index (RCA), and relative trade advantage index (RTA), we constructed a comprehensive international competitiveness index by combining the variation coefficient and the entropy method. This study aims to compare and evaluate the international competitiveness of the wood processing industry (ICWPI) in Vietnam using a comprehensive international competitiveness index. The data is collected from the top 22 countries and the total import and export volume of the wood processing industry from the repository of official international trade statistics (UN Comtrade) database for 2001–2017. The results found that it is more accurate to use the combined variation coefficient and the entropy method to evaluate the international competitiveness of the wood processing industry, compared to using only a single index. The growth rate of international competitiveness of Vietnam increased rapidly from 2001 to 2007 but slowed from 2008 to 2017. Vietnam has the advantages of natural resources, low labor costs and favorable geographical location. However, the low productivity gains and added industry value have led to a gradual decline in the international competitiveness growth rate of Vietnam's wood processing industry.
P 5 . 17 CLOUD TOP ANALYSIS USING CLOUD MODEL SIMULATIONS AND SATELLITE OBSERVATIONS

A central issue in the study of impact of convective systems related to strong phenomena is the understanding of their complex structure and evolution. Such systems are often related to high precipitation rate, strong winds and hailfall. Satellite observations and cloud microphysical model (CMM) simulations have proven to be effective in the study of this kind of phenomena. These two approaches, even different, complement themselves in the description of convection, providing an observative approach joins with a theoretical one. A peculiar characteristic of cloud top of deep convective system has been defined as Enhanced-V or V-Shape; different studies have been performed so far to describe and explain this feature (e.g. Heymsfield et al, 1983ab). McCann (1983) accumulated V statistics from half-hourly enhanced IR data from April to July 1979. He found that storms with a V pattern had about 70% probability of producing severe weather, and that the median lead time from the onset of the V to the first severe weather was about 30 minutes. Adler et al. (1985) also presented similar evidence that the V feature is correlated with reported severe weather. They found that 75% of storms with the V feature had severe weather, but 45% of severe storm examined did not have this feature. Different studies have been previously performed making use of satellite data, radar observations, conventional data and, in few cases, of numerical model simulations. Among them, Heymsfield and Blackmer (1988) treated in the more complete way this subject, also proposing a conceptual model to describe the phenomenon. But, for used numerical models, it was difficult to reproduce all observed features. This was mainly due to the lack of ice processes inside the model microphysics (Schlesinger, 1984, 1988). Now that improvement in satellite technology, model refinement and computational resources get observational and simulation approaches to have almost the same spatial resolution, with reasonable computational time, a complete combined study is feasible. The aim of this work is to merge satellite and numerical model approaches in the study of some features related to cloud top structure. An approach that considers both satellite observations and cloud three dimensional microphysical model simulations seems to be a good way in order to learn more about physics of convective systems and to improve image interpretation significance. To perform this study two events have been selected, from their intensity, the availability of data on which compare satellite derived parameters and their previous model simulations. These events have been observed by geostationary and polar platforms and simulated by Wisconsin Dynamical-Microphysical Model (WISCDYMM).
WATER VAPOUR : A NEW OPERATIONAL O 3 M-SAF TRACEGAS TOTAL COLUMN PRODUCT

The total column water vapour product from the Ozone and Atmospheric Chemistry Monitoring SAF (O3M-SAF) is retrieved from global GOME-2 measurements in the visible wavelength region, both over Land and over Sea. The product is generated at DLR using GOME Data Processor (GDP) version 4.4. Atmospheric modeling is deliberately kept to a minimum. This may result in a larger uncertainty for each individual measurement, but serves the aim to derive a climatologically relevant time series of total column water vapour – all GOME-type instruments together have a projected lifetime of at least 25 years. The present O3M-SAF product status is “pre-operational”, i.e. operationally generated with a validation of the first algorithm version. An improved algorithm is being used since August 2010 and “operational” status is expected at the beginning of 2011. In this paper we provide a concise introduction to the O3M-SAF and the environment relevant to this product. We outline the algorithm theoretical baseline, discuss the place this product takes amongst H2O measurements from other sensors, and show preliminary results of the validation.