Miracle-dz/UniFAR-FTUs huggingface dataset:
QUALITATIVE ANALYSIS OF THE COPING MECHANISMS OF PAIN IN WOMEN WITH CHRONIC PELVIC PAIN

Introduction: The etiology of chronic pelvic pain (CPP) may be associated with gynecological conditions such as endometriosis, adhesions, infection or more rarely by the tumor, and by non-gynecological causes, such as irritable bowel syndrome, related bladder, musculoskeletal or even neuropathic. Most of the time, the cause remains obscure throughout the pain trajectory (IASP, 2015). The CPP in women is defined as a condition that generates disabilities, such as interferences in the quality of life, deficits in the efficiency of work activities and impairments in the interaction with the social environment (Nogueira, Reis, & Poli-Neto, 2006; Romao, Gorayeb, Reis, Nogueira & Silva, 2009; Souza, Nakano, Reis, Rosa e Silva & Poli-Neto, 2012; Mellado, Reis, Falcone, Nogueira, Poli-Neto & Rosa e Silva, 2016). The prevalence of CPP can vary from 3.8% in women aged 15-73 years to 14-24% in women of reproductive age. In Brazil, there is no clear picture of the prevalence of CPP, in Ribeirao Preto, Southeastern Brazil, it was registered the prevalence of 11.5% but when it was considered only women of reproductive age the prevalence rose to 15.1% (Silva, Michelazzo, Rocha, Rosa e Silva, Reis, Nogueira P 2. Intensification or increase of dedication to the work activity; 3. To read or study the pain escape mechanism; 4. Not knowing how to deal with pain; and 5. To use drugs to avoid pain. The analysis process consisted on categorizing the data collected in preliminary codes and, from them, the categories were being developed. Partial Conclusion: Based on the qualitative approach of the thematic analysis, we were able to identify the means that women used to deal with the pain routine. Our hypothesis is that the lack of understanding about how to deal with pain and the failures to adhere to the proposed treatments corroborate to the resigned behavior and, evolve to social isolation, strengthening the physical and psychological introspection and consequently causing non adherence of therapies.
Concurrency Debugging with Differential Schedule Projections

We present Symbiosis: a concurrency debugging technique based on novel differential schedule projections (DSPs). A DSP shows the small set of memory operations and dataflows responsible for a failure, as well as a reordering of those elements that avoids the failure. To build a DSP, Symbiosis first generates a full, failing, multithreaded schedule via thread path profiling and symbolic constraint solving. Symbiosis selectively reorders events in the failing schedule to produce a nonfailing, alternate schedule. A DSP reports the ordering and dataflow differences between the failing and nonfailing schedules. Our evaluation on buggy real-world software and benchmarks shows that, in practical time, Symbiosis generates DSPs that both isolate the small fraction of event orders and dataflows responsible for the failure and report which event reorderings prevent failing. In our experiments, DSPs contain 90% fewer events and 96% fewer dataflows than the full failure-inducing schedules. We also conducted a user study that shows that, by allowing developers to focus on only a few events, DSPs reduce the amount of time required to understand the bug’s root cause and find a valid fix.
The First Molecular Identification of M. fortuitum, M. porcinum and M. cosmeticum from Pulmonary Patients with Negative Tuberculosis inIraq

A total of 105 fresh sputum samples were collected from patients with negative acid-fast for pulmonary tuberculosis, which was obtained from the Thoracic and Respiratory diseases Treatment Center for Tuberculosis in Baghdad city. The samples were decontaminated, concentrated and cultured on Lowenstein (LJ) medium, incubated at 28-30°C and observed the growth after 3 days-4 weeks. The results indicated Non-tuberculous mycobacteria (NTM) were isolated 4/105 (3.8%) from the patient, and all of these isolates belong to RGM (rapidly growing mycobacterium) based on their ability to grow on LJ medium, cultural characteristics, acid-fast stain, and biochemical tests. At molecular identification, M. fortuitum 50% (2/4) was isolated from a male who was smoking for a long time, M. porcinum 25% (1/4) was isolated from diabetic females and the last isolate was M. cosmeticum 25% (1/4). All the patients were elderly patients aged 41-75 years; this is the first study of isolating these species from pulmonary infections in Baghdad city.
KESAHIHAN DIAGNOSTIK HEMOGLOBIN RETIKULOSIT UNTUK DETEKSI DEFISIENSI ZAT BESI DI KEHAMILAN (Diagnostic Validity of Reticulocyte Hemoglobin for Iron Deficiency Detection in Pregnancy)

Entering the second trimester of pregnancy, more iron is required due to the increase in erythrocyte mass, plasma volume and the development of fetus as well as chorion. Iron is needed the most in the third trimester. The existing hematological iron stage parameters can only detect iron deficiency in the latest stage. The aim of this study was to know the assessment validity of Ret-He examination as a new parameter to diagnose iron deficiency in pregnant women with anemia, as well as a screening tool for those in term pregnancy without anemia. The research design was cross sectional. The subjects were women in term pregnancy, gathered from PKU Muhammadiyah Hospital, Bantul Yogyakarta from May to November 2013. A seven (7) mL blood sample was taken from the cubital vein of the subjects. Two mL of the sample was tested for routine hematological examination using an EDTA tube, while the Ret-He was assessed using an automatic hematological instrument Sysmex XT-2000-i (Symex Corporation, Kobe, Japan). The serum of the remaining five (5) mL was used to check the serum iron and TIBC to obtain the saturation value (Tsat) using Cobas analyzer C501 (Roche Diagnostics, Germany), while the serum ferritin (SF) was examined using Minividas. The subjects were classified into two (2) groups based on the Hb levels, namely: anemia (Hb<11 g/dL) and those who did not (Hb≥11 g/dL). Furthermore, they were also classified into two (2) groups based on transferrin saturation values: iron deficient (Tsat <9%) and normal (Tsat ≥9%). From 291 subjects, 59 (20.3%) were found to have anemia and 232 (79.7%) did not. The cut off value of Ret-He to diagnose iron deficiency in pregnant women with anemia was 29.8 pg (82% sensitivity and 72% specificity). Meanwhile, the cut-off value of Ret-He for iron deficiency screening in pregnant women without anemia was 29.8 pg, with a sensitivity and specificity of 92% and 87% respectively. The Ret-He holds a good diagnostic validity to detect iron deficiency in pregnancy, with or without anemia.
Modelagem Computacional para Produo e Pesquisa em Avicultura

Computational modeling was presented as a tool to make decisions for solving the daily complex problems in poultry production and research. Theoretical aspects related to construction and implementation of the different types of models used in poultry production and research were elementarily described. We tried to make this paper accessible to people that do not necessarily have a strong background in experimental statistic. Special emphasis was given to discuss the advantages of modeling to solve the complex problem of nutrient requirement estimation for poultry under different conditions. A chronological review of publications related to software which was developed to help the establishment of poultry nutritional strategies showed that they are based on growth modeling associated with models of nutritional requirement and minimum cost diets. The evolution and sophistication of those programs are coming with the advance of information technology. However, the efficiency of a simulation depends on the real situation knowledge that is provided by the traditional research. In many cases, it is fundamentally important to connect information of different disciplines that are direct or indirectly related with poultry production.
Functional outcome of wide resection and autologous avascular proximal fibular graft arthroplasty in distal radius GCT

Background: Giant cell tumor (GCT) of distal radius usually presents in late stages with aggressive progression. Extended curettage alone is usually inadequate and wide resection is the most common surgery performed. Reconstruction of the resulting defect poses significant challenges.Methods: 11 patients with distal radius GCT treated with wide resection and autologous avascular proximal fibular graft arthroplasty were studied retrospectively. One patient was Campanacci grade II and the rest 10 were Campanacci grade III. All patients underwent a standard preoperative workup and underwent a standard procedure. Patients were followed up for a mean period of 33 months (range: 1 year–7 years). Wrist movements were documented and functional outcome was scored using revised musculoskeletal tumor society scoring (MSTS). Results: Of the 11 patients, eight had excellent outcome, two had good outcome and one had satisfactory outcome according to MSTS scoring. Mean dorsiflexion, palmar flexion, supination and pronation was 44 degrees (range 10-80), 34 degrees (range 10-70), 60 degrees (range 20-80), 54 degrees (range 15-70) respectively. The complications encountered were fibulo-ulnar diastasis in 3 patients, fibulo-carpal subluxation in 2 patients, soft tissue recurrence in 1 patient and graft site non-union in 1 patient. Despite fibula-ulnar and fibula-carpal instability functional outcomes were seen to be excellent (4 patients) or good (1 patient). Conclusions: Avascular autologous proximal fibular arthroplasty provides for excellent to good functional outcomes after wide resection in distal radius GCT even if radiological appearances are suboptimal.
Reproductive Phenotype of Transgenic Mouse with Conditional Deletion of Fibroblast Growth Factor Receptor 1 in GnRH Neurons

Fibroblast growth factor receptor 1 (Fgfr1) gene mutations can cause deficiencies in gonadotropin-releasing hormone (GnRH) production in humans. GnRH deficiencies cause Kallmann syndrome and a form of hypogonadotropic hypogonadism. Fgfr1 deficiencies in mice have led to several abnormalities associated with reproduction including a reduction in neurons that produce GnRH. Fgfr1 global deletion causes widespread disruptions in development. The goal of this thesis was to use a Cre-loxP strategy to produce transgenic mice with conditional Fgfr1 deletion in GnRH neurons. These transgenic mice will be used to investigate if Fgfr1 has a cell-autonomous effect on GnRH neurons. Mice were generated using male GnRH-Cre mice (GnRH-Cre) breed with female mice with floxed Fgfr1 exon 4 allele (Fgfr1). After two generations, male and female conditional knockout (KO) mice (GnRH-Cre: Fgfr1) and control mice (GnRH-Cre: Fgfr1) were produced. To investigate
Neurochemical Changes Observed by 1 H MRS in Rats with Induced Age-related Early-stage Dementia

The aim of this study was to induce a sporadic form of age-related early-stage dementia, such as that in Alzheimer’s disease (AD) by chronic injection of D-galactose and NaNO2 to rats and investigate changes in brain metabolites levels using in vivo proton magnetic resonance spectroscopy. As reference methods behavioral tests were used. Localized proton magnetic resonance spectroscopy measurements in a brain showed a significant decrease in the concentration of N-acetylaspartate + N-acetylaspartylglutamate, glutamine + glutamate, and myo-inositol in the D-gal/NaNO2 group compared to the control group. The dynamics of the learning process represented by the learning index in modified Morris water maze test revealed a reduction in learning in the D-gal/NaNO2. The total motor activity in the Open-field test was also reduced compared to the control. We propose, that our results support the use of D-galactose in combination with NaNO2 to rats to induce earlystage of dementia and could be a relevant model for the study of underlying mechanisms of sporadic forms of dementia in rats.
The LRPD test: speculative run-time parallelization of loops with privatization and reduction parallelization

Current parallelizing compilers cannot identify a significant fraction of parallelizable loops because they have complex or statically insufficiently defined access patterns. As parallelizable loops arise frequently in practice, we advocate a novel framework for their identification: speculatively execute the loop as a doall, and apply a fully parallel data dependence test to determine if it had any cross-iteration dependences; if the test fails, then the loop is re-executed serially. Since, from our experience, a significant amount of the available parallelism in Fortran programs can be exploited by loops transformed through privatization and reduction parallelization, our methods can speculatively apply these transformations and then check their validity at run-time. Another important contribution of this paper is a novel method for reduction recognition which goes beyond syntactic pattern matching; it detects at run-time if the values stored in an array participate in a reduction operation, even if they are transferred through private variables and/or are affected by statically unpredictable control flow. We present experimental results on loops from the PERFECT Benchmarks which substantiate our claim that these techniques can yield significant speedups which are often superior to those obtainable by inspector/executor methods.
Uma arquitetura de Beacons customizáveis para Internet das Coisas

The Internet of Things (IoT) can be defined as the set of technologies connecting objects from the physical world, empowering them with the ability to react to events produced by human and other systems. In that direction, the goal of this paper is to present an architecture to build Customizable Beacons, allowing user devices and Smart Objects to directly access the data published by the Beacons, without requiring Internet connection. The main contributions of this paper are the creation of an customizable Beacon using Arduino and BLE; an Android API to interact with Beacons and a server to manage the information published by each Beacon. Resumo. A Internet das Coisas (Internet of Things IoT) pode ser definida como um conjunto de tecnologias que conecta objetos do mundo físico com a Internet, tornando-os capazes de reagir a eventos produzidos por humanos ou outros sistemas. Assim, o objetivo desse artigo é apresentar uma arquitetura para a construção de Beacons customizáveis, permitindo que dispositivos de usuários e outros Objetos Inteligentes (OIs) possam acessar diretamente os dados publicados pelo Beacon, sem a necessidade de conexão com a Internet. As principais contribuições desse artigo são a criação do Beacon customizável utilizando o Arduino e BLE; uma API Android para interagir com os Beacons e um servidor para atualizar os dados publicados por cada Beacon. 1. Introdução A Internet das Coisas (Internet of Things IoT) pode ser definida como um conjunto de tecnologias que conecta objetos do mundo físico com a Internet, tornando-os capazes de reagir a eventos produzidos por humanos ou outros sistemas [Evangelatos et al. 2012]. Nesse sentido, objetos inteligentes são objetos do mundo físico embarcados com algum tipo de processamento e comunicação. Dentro da IoT, prédios inteligentes utilizam os Objetos Inteligentes (OIs) para promoverem serviços que aumentam o conforto de seus ocupantes e a eficiência das tarefas realizadas [Agarwal and Weng 2012]. Exemplos de serviços oferecidos nos prédios inteligentes podem ser o controle de acesso às dependências do prédio, informações sobre localização e navegação indoor, conteúdo das salas e propagandas customizadas. XXXVII Congresso da Sociedade Brasileira de Computação
Optimasi Association Rule pada Keranjang BelanjaPelanggan Menggunakan Apiori dan Algoritma Genetika

Transaction data that exist in a company, especially in the retail store must be reprocessed so it will not vain. Based on result from previous research apriori have a weakness at rules extraction which only use indicator minimum support that cause rules become too much at large scale dataset. In this research we proposed genetic algorithm to perform optimization and selection for rules generated by apriori. We use objective function indicator to determine rule‘s strength. The object is a dataset from UCI Machine Learning Repository by Dr. Daqing Chen with subject Online Retail Data Set. Result expected to have fewer rules with more optimal value range sa it can be used as an effective result interpretation. From the experiment with only apriori performed we got 958 rules and 0,7529 range value. Meanwhile with using apriori and genetic algorithm, we got 624 rules and 0,278239 range value. Based on this result we can say that combination of apriori and genetic algorithm produce more optimal rules than apriori result.
Effects of Raw False Yam (Icacina Oliviformis) Seed Meal in Broiler Rations, on Carcass Yield and Eating Qualities of the Meat

This study was conducted to determine the effects of substituting raw false yam seed meal (RFYSM) with maize in broiler rations, on the sensory and carcass characteristics of the birds. A total of 48 broiler chickens were randomly selected from 120 birds fed diets containing 0% (control), 5% (T1), 7.5% (T2) and 10% (T3) RFYSM. The birds were slaughtered after a 24-hour feed withdrawal, dressed, eviscerated and chilled for 12 hours. The visceral were separated into gizzard, spleen and intestines; and were weighed. The cold carcasses were also sectioned into the various carcass joints and weighed. The breast muscles were used for sensory analysis whiles the thigh muscles were used for laboratory analyses. The results indicated that RFYSM inclusion beyond 5% adversely affects the carcass characteristics, but has no effect on the sensory and lipid per-oxidation in the meat. The poorer carcass characteristics of the RFYSM-fed birds were associated with anti-nutritive substances that might be present in the seeds.
Homotopy Methods for Linear Optimization Problems with Sparsity Penalty and Applications

The subject of this thesis is a primal-dual homotopy method for 1-norm minimization problems with infinity norm constraints. In the first part, we employ convex optimization theory in order to obtain primal-dual optimality conditions for this type of problem. Based on these conditions, we motivate an iterative method that generates the entire homotopy path by successively decreasing the homotopy parameter and computing all associated optimal solutions. Subsequently, we prove that our method always terminates after a finite number of iterations yielding an optimal solution. Moreover, we establish a non-trivial upper bound on the number of iterations which is exponential in the numbers of variables and constraints. Vice versa, for arbitrary problem dimension, we also show how to construct adversarial problem instances such that the number of required iterations is exponential in the number of variables. The second part of the thesis covers several practical aspects. On the one hand, we introduce a modification of our algorithm which can handle linear constraints and, as a consequence, linear programs with strictly positive objective function coefficients. On the other hand, we discuss several applications from the fields of signal processing, machine learning and statistical estimation, and present numerical experiments that demonstrate the effectiveness and efficiency of our method.
Medicinal plants in Maliau Basin, Sabah, Malaysia

This report consists of a combination of diversity and phytochemical studies on medicinal plants at Maliau Basin Conservation Area during the Maliau Basin Scientifi c Expedition 2005. The diversity survey was conducted by a team from the Forest Research Centre Sepilok, Sabah Forestry Department, from 7 Mar until 17 Mar 2005. Two methods of survey were applied, namely 100% survey in a 20m x 20m plot and random surveys. A total of 55 species of medicinal plants were collected. The relative density of medicinal plant species found was 12.8% in 38.8% plant individuals. Plant samples for phytochemical screening were collected by the Institute for Tropical Biology and Conservation, Universiti Malaysia Sabah plant team from 27 February until 5 March 2007. Plant samples were tested for the presence of phenolics, alkaloids, saponins, steroids and triterpenoids. The presence of all alkaloids was determined using the method of Culvenor and Fitzgerald, and ferric chloride was used to determine the presence of phenolics. For steroids or triterpenes, the Liebermann-Burchard test was used, and the froth test for saponins. From the samples screened, 80 species tested positive for alkaloid, 93 were positive for phenolics, 67 gave positive result for saponin and 110 contained steroid.
Trends and Death Rates Due to Surgical Procedures in Cyprus

Aim: The aim of this work is to study the trends and mortality rates from surgical procedures in Cyprus. Methods: We used data from the five general hospitals in Cyprus to study patients undergoing surgery in the years 1985-2015. We also used the mortality rate (MR) with the aim of extracting a risk measure. Results: The results showed that the highest number of surgeries is observed in Cataract. In addition,there has been an increase in operations in recent years (2010-2015), with an exception of the year 2015 where they are decreasing. Finally, the highestmortality rate of death in both genders from surgical procedures is 1.7% and occurs intransluminal coronary angioplasty and in colonoscopy with or without biopsy. Conclusions: This study has shown that the death rate due tosurgical procedures in Cyprus varies depending on the type of surgery, with a higher rate to appear intransluminal coronary angioplasty and in colonoscopy with or without biopsy overall for both genders.
Evaluating, and Scaling Web Programming Languages: A Comparison between PHP, JavaScript

Received on: 24/8/2010 Accepted on: 10/11/2010 ABSTRACT This work concerns with comparing web server resources. The most known web programming languages (PHP-JavaScript) were presented. An age calculator implemented as a web application. Many readings were taken as response time, CPU load and other readings are examined and compared. PHP was found to give best results in some cases and JavaScript is more suitable for other cases.
cDNA Sequence of a Novel Immulectin Homologue from the Silkworm, Bombyx mori

A cDNA of novel immulectin homologue (BmIML), a C-type lectin, was cloned from the silkworm, Bombyx mori. The immulectin cDNA is an open reading frame of 921 bp encoding 307 amino acid residues. The deduced amino acid sequence from the BmIML cDNA contains two C-type carbohydrate recognition domains (CRDs). The BmIML was most similar (61 % protein sequence identity) to the M. sexta immulectin-1, whereas BmIML showed relatively lower identity to the B. mori lipopolysaccharide-binding protein (25% protein sequence identity). These features of BmIML indicate that BmIML is a novel member of C-type lectin superfamily. Northern blot analysis revealed that the BmIML is specifically expressed in the fat body of B. moli larvae.