Miracle-dz/UniFAR-FTUs huggingface dataset:
ATIVIDADE INSETICIDA DE Cunila angustifolia SOBRE ADULTOS DE Acanthoscelides obtectus EM LABORATÓRIO

The use of extracts and essential oils of plants has been used as an important alternative to control insect pests of stored grains. The aim of this study was to evaluate the insecticide effect of extracts and the essential oil of C. angustifolia on adults of A. obtectus, under laboratory conditions. The experiment was conducted at random design with four replications, being tested crude and aqueous extracts, hexanic fraction and essential oil of C. angustifolia, at the doses of 0.001, 0.002, 0.004 and 0.008 mL cm-2. Each replicate received 10 adults of A. obtectus. Mortality of these insects was recorded the 24, 48, 72, 96 and 120 hours after application. All doses of the essential oil of C. angustifolia achieved 100% of efficiency in the mortality of A. obtectus after 24 hours. The other treatments showed low control efficiency when they were compared to the effect of essential oil. This research demonstrates the insecticide activity of the essential oil of C. angustifolia proving to be promising in the control of this primary pest.
Neural Network Approaches Versus Statistical Methods in Classification of Multisource Remote Sensing Data

Neural network learning procedures and statistical classificaiton methods are applied and compared empirically in classification of multisource remote sensing and geographic data. Statistical multisource classification by means of a method based on Bayesian classification theory is also investigated and modified. The modifications permit control of the influence of the data sources involved in the classification process. Reliability measures are introduced to rank the quality of the data sources. The data sources are then weighted according to these rankings in the statistical multisource classification. Four data sources are used in experiments: Landsat MSS data and three forms of topographic data (elevation, slope, and aspect). Experimental results show that two different approaches have unique advantages and disadvantages in this classification application.
On the capacity of a Markov-chain encoded associative memory

The author proposes a Markov-chain encoded associative memory as a general autocorrelation associative memory which can embrace hitherto-proposed encodings such as the conventional (biased or unbiased Bernoulli trial) and sparse encodings if the chain's parameters are chosen appropriately. The proposed associative memory is a network of n fully interconnected two-state formal neurons. One chooses m realizations (patterns) of a Markov chain at random (independently), and then stores them in the network by adjusting the network synaptic matrix according to the Hebbian rule. A general condition which must be satisfied by the number of the stored patterns m is derived. Then, the capacity of the network is given as the solution of an optimization problem. <<ETX>>
High resolution MR microimaging of neuronal tissue at 17.6 T

The evolution of magnetic resonance instruments to higher field strengths mandates continued improvement in associated RF technologies. Coil design, gradients and amplifiers must not only be optimized to the sample of interest but must meet the concomitant challenges of increased operating frequencies at higher magnetic fields. Using one of the first 17.6 T wide-bore MR instruments equipped for both imaging and high resolution spectroscopy, a variety of biological samples have been examined. In this report, we describe some of the recent applications of this 750 MHz instrument to microimaging and microspectroscopy, with particular focus on the necessary RF hardware developments required at greatly increased resolutions. Predominately through the optimization of RF coils, maximum image resolutions of less than 10 /spl mu/m have been achieved from research-relevant, biological samples.
Accelerating face detection by means of image segmentation

In human face detection applications, faces most frequently occupy a minor part of images. Therefore, preliminary segmentation of images into regions that contain "nonface" objects and regions that may contain "face" objects can greatly accelerate the process of human face detection thanks to a substantial narrowing of the area of search for the face detection algorithm. In the paper, an efficient and fast algorithm of such segmentation is suggested. The algorithm is tested on CMU B-set face database, which includes 153 faces in 23 grayscale images. The quality of many of the images is very low, the background part ("nonface" regions) is complex and the scenes are of different illumination conditions. The testing results show that the algorithm reduces the area of search for the final face detection to less than 1% of the image area while missing only 2 faces from 153.
Acquiring Polar Sentences from HTML Documents

This paper represents a method of acquiring polar sentences from HTML documents. The basic idea is to exploit three lexico-syntactic patterns and two layout structures of HTML documents.The method requires only a small amount of hand-crafted rules and can be implemented in low cost.In our experiment,the method was applied to one billion documents and 650 thouthands polar sentences were aquired.
Laparoscopic Hemi-Hysterectomy-Retrospective Study of Case Series of over 9 Years

Background: Word hemi-hysterectomy and removal of rudimentary functional horn may be used interchangeably in published data. The same term may be used when a non-obstructive hemi-uterus is removed when there is an associated pathology. The article tries to standardise classification of Mullerian dysgenesis where this procedure is required according to ESHRE ESGE classification, preoperative diagnosis and discuss the operative details. Objective: The objective was to study the demographic profile, symptoms, association of endometriosis, variation in the anatomy, accuracy of preoperative diagnosis, to classify according to ESHRE ESGE classification and to standardize the laparoscopic surgical steps of hemi-hysterectomy. Study Design: This is a retrospective case series of cases of Mullerian dysgenesis with obstructive hemi-uterus or non-obstructive hemi-uterus with pathology treated by laparoscopic hemi-hysterectomy. (Canadian task force classification III). Methods: Data from hospital electronic records of all cases tagged with word laparoscopic hemi-hysterectomy were collected for 9 years from Jan 2009 to Dec 2018. Results: Total 19 patients of hemi-hysterectomy were analysed. Pre-operative diagnosis was made in 100% of patients. 100% patients with obstructive horn had dysmenorrhoea. ESHRE ESGE class U4aC3V0 was more frequently seen followed by U5aC4V4 and U3bC3V2 as obstructive and U4bC3V0, as non-obstructive. Associated endometriosis along with other pathology was seen in 74% of the patients. 3 patients with HWWS had ipsilateral renal agenesis. Laparoscopic hemi-hysterectomy was offered to all such patients. The operative steps & variants were studied. Post-operative outcome was uneventful in all. Conclusion: An experienced surgeon should deal with these problems of Mullerian dysgenesis discussed in this study. The other variants diagnosed also must be treated by an experienced surgeon only. Laparoscopic hemi-hysterectomy is almost the most standard surgical method to treat pelvic pain in cases with rudimentary non-communicating horns or in cases of non-obstructive horns with other associated pathologies. Post-operative recovery is uneventful, and all patients reported pain free periods as well as they are free of chronic pain which they had before surgery.
Lumbopelvic instability: A key in injury risk among pre-elite youth athletes?

Purpose: Field-based movement screens (MSs) are frequently used by coaches and clinicians to assess risk of lower limb injury, but there is conflicting evidence for their reliability. These MSs are also limited in that often they do not assess lumbopelvic stability, despite its strong association with lower limb injuries. This study aimed to determine the reliability of a field-based movement dysfunction screen (MDS) in novice and expert raters, and to ascertain whether there was a familiarisation effect of the athletes performing or the assessors rating the MDS. Methods: Fifty-five pre-elite youth athletes performed the MDS on three separate occasions and videos of their performance were rated three times in randomised order by 18 raters. Kappa score, percentage agreement and intra-class correlation (ICC) were calculated both for each movement and for the MDS composite score. Reliability was established using interand intra-rater reliability of novice and expert raters, with learning and familiarisation effects measured across repeated exposure of raters and athletes, respectively. Chapter 2: Reliability of Movement Screen 32 Results: For individual movements, interand intra-rater reliability varied across novice and expert raters based on Kappa score and percentage agreement, but reliability increased between sessions in both novices and experts, from moderate to excellent based on the MDS composite score. The ICC exhibited excellent reliability in both expert and novice raters. Conclusions: Both novice and expert raters demonstrated high variability to rate any single movement reliably. Yet when the individual movements were summed (MDS total score), excellent reliability was observed, providing preliminary evidence that the MDS can be reliably used to assess overall movement competency. This study also highlights that the specific movement tasks within a MDC are a learned skill and require participant familiarisation before data are collected.
A Searchable Hierarchical Conditional Proxy Re-encryption Scheme for Cloud Storage Services

As cloud technologies thrive, researches in the field of cloud storage have switched their focus from encryption-decryption techniques that help data owners protect their privacy and data confidentiality to the application of searching techniques on encrypted data while maintaining high level security and privacy of outsource data. To begin with, Song et al. offered some practical techniques for searches on encrypted data. After that, Weng et al. presented their conditional proxy re-encryption scheme where the data owner can decide which ciphertext satisfies a certain keyword condition set and then can have the retrieved data re-encrypted by the semi-trusted proxy server. The basic concepts of the above schemes are indeed quite innovative and do lead the way towards the solutions to the major practical cloud storage application problems; however, of all the researches that follow, none has had both searching on encrypted data and conditional proxy re-encryption combined. In this paper, we propose a new scheme for cloud storage services that integrates keyword search with conditional proxy re-encryption. This say, with a newly added keyword or new proxy, the cloud service provider is able to generate a hierarchical key. As far as data security is concerned, our scheme provides proven data owner authentication, re-delegation, and chosen-ciphertext security. The superior performance of the proposed scheme has been established by comparing it with related works, and our security analysis as well as BAN logic correctness check also offered solid proof that the new scheme is both secure and practical. DOI: http://dx.doi. org/10.5755/j01.itc. 45.3. 13224
Development and validation of HIV-ASSIST, an online, educational, clinical decision support tool to guide patient-centered ARV regimen selection

Background: Multiple antiretroviral (ARV) regimens are effective at achieving HIV viral suppression but differ in pill burden, side effects, barriers to resistance, and impact on comorbidities. Current guidelines advocate for an individualized approach to ARV regimen selection, but synthesizing these modifying factors is complex and time-consuming. Methods: We describe the development of HIV-ASSIST (https://www.hivassist.com), a free, online decision support tool for ARV selection and HIV education. HIV-ASSIST ranks potential ARV options for any given patient scenario using a composite objective of achieving viral suppression while maximizing tolerability and adherence. We utilized a multiple-criteria decision analysis framework to construct mathematical algorithms and synthesize various patient-specific (e.g., comorbidities, treatment history) and virus-specific (e.g., HIV mutations) attributes. We then conducted a validation study to evaluate HIV-ASSIST with prescribing practices of experienced HIV providers at four large academic centers. We report on concordance of provider ARV selections with the five top-ranked HIV-ASSIST regimens for ten diverse hypothetical patient-case scenarios. Results: In the validation cohort of 17 experienced HIV providers, we found 99% concordance between HIV-ASSIST recommendations and provider ARV selections for four case-scenarios of ARV-naïve patients. Among six cases of ARV-experienced patients (three with and three without viremia), there was 84% and 88% concordance, respectively. Among three cases of ARV-experienced patients with viremia, providers reported 20 different ARV selections, suggesting substantial heterogeneity in ARV preferences in clinical practice. Conclusions: HIV-ASSIST is a novel patient-centric educational decision support tool that provides ARV recommendations concordant with experienced HIV providers for a diverse set of patient scenarios.
Sarcopenia in liver transplant due to familial amyloidotic polyneuropathy (FAP): the relevance of muscle mass

Amyloidotic Polyneuropathy (FAP): The relevance of muscle mass Maria Teresa Tomás 1,2; Xavier Melo 2.3; Élia Mateus 4; Eduardo Barroso 4; Helena Santa-Clara 2 1 Lisboa Higher School of Health Technology (ESTeSL) at Lisbon Polytechnique Institute (IPL); 2 – Interdisciplinary Centre for the Study of Human Performance (CIPER) at Faculdade de Motricidade Humana (FMH) – Universidade de Lisboa (UL); 3Ginásio Clube Português; 4 – Hepatobiliopancreatic and Transplantation Centre at Hospital Curry Cabral (HCC), Lisboa
Low level segmentation using CMOS smart hexagonal image sensor

The exploitation of analog VLSI techniques combined with computer vision knowledge offers spectacular possibilities. Limitations of current VLSI technologies do not allow to create sensors with extremely complex pixel architecture, but the coupling of external CMOS analog processing units is a great solution for rapid low level segmentation processes. This paper presents a novel sensing approach where photo-transduction, multiresolution feature extraction, scale-space integration, and edge tracking combined with sub-pixel interpolation are performed on a mixed-signal (digital-analog) VLSI architecture. The paper also discusses how we implement the curvature primal sketch into the system for higher level scene representation. The main sensory part of this integrated image acquisition system is a CMOS sensor called Multiport Access photo-Receptor (MAR). VLSI also provides means to integrate analog computing, digital controller, and DSP co-processor modules which define a powerful sensory chip set for focal plane image processing. A current version of the MAR sensor which implements 256/spl times/256 pixels includes 16 analog spatial filters which simultaneously compute multiresolution edge maps. This novel smart image sensor approach with associated low level segmentation capability presents good opportunities for real time automated process for the particular case of unstructured environment.
Co-Circulation of Echovirus 6 and 30 with Coxsackievirus A6 Among Children with Hand, Foot, and Mouth Disease in Ahvaz, Southwest Iran

Objectives: The aim of this study was to evaluate the etiologic agents of a hand, foot, and mouth disease (HFMD) outbreak in Ahvaz, Southwest Iran and their evolutionary analysis by phylogenetic construction and Simplot analysis. Methods: We collected 16 serum samples in an outbreak of HFMD in Ahvaz in October 2013. RNA was extracted from the samples and subjected to reverse transcription polymerase chain reaction for detection of Enterovirus group A and B. Positive cases were sequenced and subjected to phylogenetic and Simplot analysis for detecting the signs of recombination. Results: Of the 16 specimens, nine (56.25) were PCR-positive with the universal primers for the Enterovirus 5‘UTR region. Coxsackievirus A6 was detected as a predominant agent of HFMD with two cases of Echovirus 6 and Echovirus 30. In the case of Echovirus 6, the signs of recombination in the 5‘UTR region were observed based on phylogenetic and Simplot analysis. Conclusions: Coxsackievirus A6 is the main agent of HFMD in Ahvaz. The evidence of recombination in this isolate of Echovirus 6 in this study emphasizes common hygiene practices and sanitation to prevent the circulation of this isolate in community and the advent of new strains. © 2019, Archives of Clinical Infectious Diseases.
Body Composition and Genetic Lipodystrophy Risk Score Associate With Nonalcoholic Fatty Liver Disease and Liver Fibrosis

Up to 25% of patients with nonalcoholic fatty liver disease (NAFLD) are not obese but may have a fat or muscle composition that predisposes them to NAFLD. Our aim was to determine whether body composition parameters associate with NAFLD and to identify genetic contributors to this association. This study included two cohorts. The first included 2,249 participants from the Framingham Heart Study who underwent a computed tomography scan to evaluate hepatic steatosis, dual‐energy x‐ray absorptiometry testing to assess body composition, and clinical examination. Body composition parameters were normalized to total body weight. A subset of participants underwent genotyping with an Affymetrix 550K single‐nucleotide polymorphism array. The second cohort, Michigan Genomics Initiative, included 19,239 individuals with genotyping on the Illumina HumanCoreExome v.12. 1 array and full electronic health record data. Using sex‐stratified multivariable linear regression, greater central body fat associated with increased hepatic steatosis while greater lower extremity body fat associated with decreased hepatic steatosis. Greater appendicular lean mass was associated with decreased hepatic steatosis in men but not in women. A polygenic risk score for lipodystrophy (regional or global loss of adipose tissue) was associated with increased hepatic steatosis, increased liver fibrosis, and decreased lower extremity fat mass. Conclusion: Greater central body fat associated with increased hepatic steatosis, while greater lower extremity body fat and, in men, greater appendicular lean mass were associated with decreased hepatic steatosis. A genetic risk score for lipodystrophy was associated with NAFLD and liver fibrosis. Our results suggest that buffering of excess energy by peripheral fat and muscle may protect against NAFLD and liver fibrosis in the general population.
Changes in abdominal pressure during voiding in women. Can abdominal pressure decrease modify the urodynamic diagnosis

The diagnosis of voiding dysfunction in women is very challenging: due to the narrow difference of pressures to differentiate bladder outlet obstruction (BOO) from detrusor underactivity (DU) because straining to void can increase urinary flow Some attention has been given to the participation of abdominal muscles during voiding but almost nothing has been said about abdominal pressure decrease, which doesn’t modify intravesical pressure but increases the calculated detrusor pressure artificially. The aim of this study was: to describe the changes of abdominal pressure during voiding in women to evaluate if the correction of the abdominal pressure decrease can modify the diagnosis to study if there is an association between the symptom “strain to void” and abdominal muscle participation during voiding 112
Effects of miR-141-containing extracellular vesicles in the regulation of endothelial tube formation by trophoblastic cells

Preeclampsia constitutes a hypertensive disorder exclusive to pregnancy. It is a systemic disease with multi-organ involvement that complicates between 2 - 8% of all pregnancies, remaining one of the primary causes of maternal and perinatal morbidity and mortality in the world. Preeclampsia has been associated with improper extravillous trophoblast invasion into uterine spiral arteries and deficiency of their remodeling. Previous studies have revealed that trophoblast cells secrete microRNAs (miRNAs) into the maternal circulation by packing them within extracellular vesicles (EVs). This process takes place in normal and in preeclamptic pregnancies, but at different quantities and qualities, indicating its potential role in physiology and pathology of the placenta. EVs are present in maternal plasma from early pregnancy onwards, which represents potential diagnostic tools as biomarkers for gestational pathologies.
The Role of Cognitive Behavioral Therapy in Opioid Use Reduction in Pediatric Sickle Cell Disease: Protocol for a Systematic Review

Background Sickle cell disease (SCD) is a genetic disorder of red blood cells that results in acute and chronic health problems, including painful syndromes. Opioid analgesia is the mainstay of moderate to severe pain management in SCD, although adjunctive psychosocial approaches such as cognitive behavioral therapy (CBT) are increasingly incorporated. CBT has been used in populations of various ages to address a wide range of issues, such as mood disorders and chronic pain. It is unclear if effective CBT reduces the use of opioids to manage pain in pediatric SCD. Objective The aim of this study is to evaluate the association between CBT and decreased opioid use in children with SCD. Methods In this systematic review protocol, we describe our approach to applying predetermined eligibility criteria to searches of PubMed (including Medline), Embase, Cochrane, Web of Science, and PsycINFO databases, as well as Google Scholar and grey literature. In particular, we will use keywords to search for English-language studies of individuals with SCD aged 21 years old and younger published before November 2018. Keywords will allow us to assess for the primary outcome—total use of opioid medications—and the secondary outcomes—pain intensity and emotional functioning—during pain management using a combined opioid and CBT approach, opioids alone, or CBT alone. The review team will use standardized abstraction forms to review articles at the title, abstract, and full-text levels. Finally, reviewers will assess the risk for bias, quality of evidence, and adequacy of data for quantitative versus qualitative synthesis. If meta-analysis is deemed inappropriate, a narrative review will be conducted. Results We will report a summary of findings across studies that meet eligibility criteria to compare the extent to which adjunctive CBT is associated with decreased opioid use among children with SCD. Conclusions This systematic review will present the current state of the evidence on CBT and opioid use in pediatric SCD, which may inform clinical practice and health policy to support optimized pain management. International Registered Report Identifier (IRRID) PRR1-10.2196/13211
Neural learning algorithms: some empirical trials

Reports some empirical trials comparing seven different neural learning algorithms (including two versions of back propagation) on four test problems. Though limited in scope the study does shed light on the performance of a variety of learning techniques, compared under relatively uniform conditions. The results cast some doubt on the status of back propagation as an 'industrial strength' learning algorithm.