Miracle-dz/UniFAR-FTUs huggingface dataset:
Avaliação nutricional de pacientes com cirrose pelo vírus da hepatite C: a aplicação da calorimetria indireta

BACKGROUND: Malnutrition is frequent in cirrhotic patients, and its assessment is difficult. Functional assessment through a dynamometer is a simple method and could minimize these drawbacks. Harris-Benedict prediction formulae estimates the resting energy expenditure but has not been validated for this population. One alternative is the use of indirect calorimetry. AIM: To assess nutritional status in cirrhotic patients and estimates the resting energy expenditure through indirect calorimetry and compares it to Harris-Benedict. PATIENTS AND METHODS: Thirty four adult hepatitis C cirrhotic outpatients were studied, classified by Child-Pugh and model of end-stage liver disease score. The resting energy expenditure was predicted through Harris-Benedict and measured by indirect calorimetry. Nutritional assessment was done through anthropometry, subjective global assessment, hand-grip strength and a 3-day recall. RESULTS: Fifteen (44.2%) were Child-Pug A, 12 (35.3%) B and 7 (20.6%) C, and 33 (97.1%) had model of end-stage liver disease scores less than 20. The resting energy expenditure predicted was higher than the measured (Harris-Benedict 1404.5 ± 150.3 kcal; indirect calorimetry 1059.9 ± 309.6 kcal). The prevalence of malnutrition varied between methods (body mass index, muscle arm circumference, subjective global assessment, triceps skinfold thickness and hand-grip strength: 0; 5.9; 17.6; 35.3 and 79.4%, accordingly). Calories and proteins intake were 80% and 85% of recommended amounts and there was inadequate intake of calcium, magnesium, iron and zinc. CONCLUSION: Malnutrition was frequent and hand-grip strength seemed to be the most sensitive method for its diagnosis. Calories and protein intakes were inadequate. Considering that the predicted resting energy expenditure was higher than the measured one and the need to offer higher caloric intake, the use of the predicting equation may replace indirect calorimetry.
Hybrid Test Data Transportation Scheme for Advanced NoC-Based SoCs

Network-on-chip (NoC) has evolved to overcome the issues of traditional bus-based on-chip interconnect. In NoC-reuse as TAM, the test schedulers are constrained with the topological position of cores and test access points, which may negatively affect the test time. This paper presents a scalable hybrid test data transportation scheme that allows to simultaneously test multiple heterogeneous cores of NoC-based SoCs, while reusing NoC as TAM. In the proposed test scheme, single test stimuli set of multiple CUTs is embedded into each flit of the test stimuli packets and those packets are multicast to the targeted CUTs. However, the test response packets of each CUT are unicast towards the tester. To reduce network load, a flit is filled with maximum possible test response sets before unicasting towards the tester. With the aid of Verilog and analytical simulations, the proposed scheme is proved effective and the results are compared with some recent techniques.
Cancer Treatment-Related Symptoms Aggregation and Distribution among Saudi Children with Cancer

Purpose: Children and adolescents with cancer experience multiple distressing symptoms during and after chemotherapy treatment. This study aimed at secondary analyzing of reported symptoms experienced by Saudi children and adolescents with cancer over multiple cycles of chemotherapy treatment, identifying the experiencing of similar symptom trajectories. Methods: Subjects were 130 Saudi children and adolescents recruited from four tertiary hospitals who completed the sociodemographic and clinical data sheet, Memorial Symptom Assessment Scale (MSAS 10-18) and Karnofsky Performance Status (KPS) Scale. Findings: Four discrete classes using latent class profile analysis were recognized: minimum distress (Class I), physical prominent distress (Class II), psychological prominent distress (Class III), and maximum distress (Class VI). Vomiting (M=0.88) was reported as the most distressing symptom in Class I, whereas lack of energy was the most prevalent distressing symptom in Class II (M=3.1). Subjects reported worrying (M=2.68) as the most distressing symptom in Class III of clustering, while lack of energy (M= 4.85) was reported to be the most prevalent in Class VI. Conclusion: Understanding antecedents and patterns of symptom trajectories may help practitioners to improve patients’ care more efficiently, permitting refining of patient outcomes and inspiring a reduction in health care costs and utilization.
Possibilities and challenges in Mokken scale analysis using marginal models

Mokken scale analysis is used for sealing items and measuring respondents on ordinal scales. Recently, marginal modelling was introduced as a framework to derive standard errors for the sealing coefficients used in Mokken scale analysis, and to test hypotheses about these sealing coefficients. In this paper, marginal models are used to analyze data obtained with the physical health questionnaire Climbing Stairs. These analyses demonstrate possibilities, limitations, and new challenges of the method.
Using catalogue browsing for speech-based interface to a digital library

Catalogue browsing is a well known activity in the library world. We are all familiar with the box of cards that is used by the librarian who browsed it over in order to find the card for the book we were searching for. The Catalogue Browsing Access Paradigm (CBAP) that is suggested in this paper aims at providing the users with the same feeling of the actual catalogue browsing activity while using the benefits of the digital world. In particular, relationships between the physical and the digital realms are investigated. We illustrate the CBAP concept using a prototype presentation of a speech-based mobile interface to a digital library (DL). A physical to digital relationship is examined when using vocal commands to control the search activity. A digital to physical relation is examined when using digital instructions from a positioning system in order to navigate in a physical library. We use agile software development and user centered design as the methodologies in the development of CBAP, and present user evaluation data that emerged from this process.
SQL Server Forensic Analysis

What Kevvie Fowler has done here is truly amazing: He has defined, established, and documented SQL server forensic methods and techniques, exposing readers to an entirely new area of forensics along the way. This fantastic book is a much needed and incredible contribution to the incident response and forensic communities. Curtis W. Rose, founder of Curtis W. Rose and Associates and coauthor of Real Digital Forensics The Authoritative, Step-by-Step Guide to Investigating SQL Server Database Intrusions Many forensics investigations lead to the discovery that an SQL Server database might have been breached. If investigators cannot assess and qualify the scope of an intrusion, they may be forced to report it publiclya disclosure that is painful for companies and customers alike. There is only one way to avoid this problem: Master the specific skills needed to fully investigate SQL Server intrusions. In SQL Server Forensic Analysis, author Kevvie Fowler shows how to collect and preserve database artifacts safely and non-disruptively; analyze them to confirm or rule out database intrusions; and retrace the actions of an intruder within a database server. A chapter-length case study reinforces Fowlers techniques as he guides you through a real-world investigation from start to finish. The techniques described in SQL Server Forensic Analysis can be used both to identify unauthorized data access and modifications and to gather the information needed to recover from an intrusion by restoring the pre-incident database state. Coverage includes Determining whether data was actually compromised during a database intrusion and, if so, which data Real-world forensic techniques that can be applied on all SQL Server instances, including those with default logging Identifying, extracting, and analyzing database evidence from both published and unpublished areas of SQL Server Building a complete SQL Server incident response toolkit Detecting and circumventing SQL Server rootkits Identifying and recovering previously deleted database data using native SQL Server commands SQL Server Forensic Analysis is the first book of its kind to focus on the unique area of SQL Server incident response and forensics. Whether youre a digital forensics specialist, incident response team member, law enforcement officer, corporate security specialist, auditor, or database professional, youll find this book an indispensable resource.
Potential defaults of anthropometric assessment parameters during pregnancy

Pregnancy is one of the most common life events, surprisingly little systematic and scientific information is available in the literature when considering anthropometrics. Studies regarding the pregnant’s body size variation, namely for the design of clothes during gestation are quit common. But anthropometrics is a lot more, it is also a science that aids in characterizing the body morphology and composition of humans. There are standard data of anthropometric parameters for specific populations, however, it doesn’t seem to exist any specific values or data for pregnant women. Neither the indication to use the standard values is mentioned or stated. Therefore, the main objective of this study is to evaluate if the default data and the current anthropometric tools are appropriate to be used on pregnant women. In this study, we analysed and evaluated the morphologic characterization and the body composition of pregnant women using existing anthropometric restricted profile methods. The tools considered in this study were: Body Mass Index, Somatotype, Conicity Index, AbdominalHip Ratio and Waist-Height Ratio. Some tools do not demonstrate efficiency in the anthropometric evaluation such as Body Mass Index by placing the pregnant women within risk levels that do not correspond to reality. However, other methods are plausible to be used, such as Conicity, Index Abdominal-Hip and Waist-Height Ratios were the values obtained within the expected range. In conclusion, the existing anthropometric tools need further study when characterizing pregnant women. DOI: https:/doi.org/10.24243/JMEB/2.5. 176 2018. Published by Rational Publication. This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA. Research Article
Objective pain sensitivity affects sleep quality in opioid dependent males on methadone maintenance therapy

Aim Pain associated poor sleep quality has been reported among opioid dependent patients on methadone maintenance therapy (MMT) but objective pain data are lacking. This study aimed to investigate the rate of objective pain sensitivity and the relationship between pain sensitivity and sleep quality in this susceptible male population. Methods A total of 168 male patients from MMT clinic in Kelantan, Malaysia were included into the study. Objective pain tolerance to cold pressor test (CPT) was evaluated at 0 hour and at 24 hours after the first CPT. Malay version of the Pittsburgh Sleep Quality Index – PSQI and the subjective opiate withdrawal scale (SOWS) questionnaires were administered to evaluate the quality of sleep and withdrawal symptoms, respectively. Results The mean age of the study participants was 37.22 (SD 6.20) years old. The mean daily methadone dose was 76.64 (SD 37.63) mg/day. The mean averaged SOWS score was 5.43 (SD 6.91). The averaged pain tolerance time ranged from 7 to 300 s with a mean time of 32.16 (SE 2.72) s, slightly below the cut-off score of 37.53 s. More specifically, 78.6% (n = 132) of patients were identified as ‘pain-sensitive’ (averaged pain tolerance time ≤ 37.53 s), and 36 (21.4%) were ‘pain-tolerant’ patients (averaged pain tolerance time > 37.53 s). The mean global PSQI score was 5.47 (SD 2.74). The pain-sensitive patients reported poorer sleep quality with mean (SD) of 5.78 (2.80) compared with pain-tolerant patients with mean (SD) of 4.31 (2.18) (p = 0.005). With analysis of covariance, pain-sensitive patients were found to have higher global PSQI scores (adjusted mean 5.76, 95% CI 5.29; 6.22) than pain-tolerant patients (adjusted mean 4.42, 95% CI 3.52; 5.32) (p = 0.010). Conclusions Many opioid dependent male patients on MMT are pain-sensitive. A poorer sleep quality is associated with objective pain sensitivity. Pain and sleep complaints in this susceptible population should not be overlooked.
OTOMATISASI SQL QUERY UNTUK DATABASE ENGINE

Desain database dalam sebuah aplikasi sistem informasi merupakan salah satu komponen yang sangat penting untuk menampung data dan menghasilkan informasi untuk kebutuhan pengambil keputusan. Dalam aplikasi sistem informasi, antara pengguna satu dengan yang lain biasanya menginginkan jenis database yang berbeda, sehingga pihak pengembang software dalam pembuatan aplikasi database membuat desain database ulang sesuai jenis database yang diinginkan. Hal tersebut membutuhkan waktu dan tenaga lebih untuk menyelesaikan aplikasi sistem informasi yang hampir sama. Hal ini bisa dihindari dengan melakukan generate otomatis dari file xml ke dalam bentuk perintah Structured Query Language(SQL) untuk mendeskripsikan desain table sehingga bisa diterapkan ke dalam jenis database yang berbeda sesuai kebutuhan. Hasil otomatisasi berupa bahasa basis data yaitu Data Definition Language(DDL) yang menjelaskan skema basis data dan Data Manipulation Language(DML) yang menjelaskan manipulasi data berupa stored procedure untuk perintah insert,update,delete,select. Database engine yang disupport adalah MySQL,SQLite dan Microsoft SQL Server
Boosting biomedical images indexing

Indexing and retrieval in biomedical image databases is a challenging problem. Constructing large-scale indexing solutions is typically limited by a choice of appropriate features, complexity constraints of the engine and a way how to combine retrieval results to have a stronger one. Combination of standard feature extraction routines with specific knowledge on a subject, such as precise automatic object segmentation and medical parameters estimation is the first key factor to achieve high accuracy and robustness of the indexing/retrieval solution. We are developing a search engine based on a TTA10 algorithm, which stores data in hierarchical fashion, with logarithmic complexity to access a large data repository in real-time. We propose to use AdaBoost technique to combine independent search results into more robust and accurate one. Initial results on a database of more than 80.000 ultrasound images demonstrate good accuracy and fast speed.
Concurrent validity of isokinetic dynamometer and hand-held dynamometer protocols in assessment of isometric shoulder rotation strength

The purposes of this study were to compare isokinetic dynamometer (IKD) and hand-held dynamometer (HHD) based protocols for determining isometric shoulder rotation strength and to quantify the variation that could be expected when interchanging scores. Shoulder external rotation (ER) and internal rotation (IR) torques (Nm) of 20 healthy males and 20 healthy females (mean age 58 ± 9 years) were determined with the subject seated and the glenohumeral joint positioned in the scapular plane, on two separate occasions. RCs were excellent for IKD and HHD protocols, and for parallel reliability between the protocols (Res > 0.86). No significant differences were observed between test occasions or protocols (P > 0.05). Protocol difference scores (IKD - HHD score) demonstrated good reliability on one occasion (Res > 0.62) and excellent reliability over two occasions (Res > 0.75). No significant differences were observed between protocol difference scores on the two test occasions, or when averaged over occasions (P > 0.05). When interchanging scores, IR torques determined using the IKD and the HHD protocols tended to be similar (0.0 ± 3.2 Nm), whereas during ER, torques determined using the HHD protocol tended to be about 0.8 ± 2.0 Nm higher than those determined using the IKD protocol. Although scores determined using IKD and HHD test protocols were not characterized by precise interchangeability, the range of scores describing interchangeability was relatively small.
A New Biomedical Passage Retrieval Framework for Laboratory Medicine: Leveraging Domain-specific Ontology, Multilevel PRF, and Negation Differential Weighting

Clinical decision support (CDS) search is performed to retrieve key medical literature that can assist the practice of medical experts by offering appropriate medical information relevant to the medical case in hand. In this paper, we present a novel CDS search framework designed for passage retrieval from biomedical textbooks in order to support clinical decision-making using laboratory test results. The framework utilizes two unique characteristics of the textual reports derived from the test results, which are syntax variation and negation information. The proposed framework consists of three components: domain ontology, index repository, and query processing engine. We first created a domain ontology to resolve syntax variation by applying the ontology to detect medical concepts from the test results with language translation. We then preprocessed and performed indexing of biomedical textbooks recommended by clinicians for passage retrieval. We finally built the query-processing engine tailored for CDS, including translation, concept detection, query expansion, pseudo-relevance feedback at the local and global levels, and ranking with differential weighting of negation information. To evaluate the effectiveness of the proposed framework, we followed the standard information retrieval evaluation procedure. An evaluation dataset was created, including 28,581 textual reports for 30 laboratory test results and 56,228 passages from widely used biomedical textbooks, recommended by clinicians. Overall, our proposed passage retrieval framework, GPRF-NEG, outperforms the baseline by 36.2, 100.5, and 69.7 percent for MRR, R-precision, and Precision at 5, respectively. Our study results indicate that the proposed CDS search framework specifically designed for passage retrieval of biomedical literature represents a practically viable choice for clinicians as it supports their decision-making processes by providing relevant passages extracted from the sources that they prefer to refer to, with improved performances.
An Investigation Into how Year Two Children use Drawing and Writing Together to Produce a Narrative

This study was designed to investigate how Year Two children use drawing and writing together to produce a narrative. The participants in this study were one class from a metropolitan, co-educational, independent school. A qualitative descriptive case study approach was selected for this investigation. The researcher collected data by conducting four sessions in which the participants were given the opportunity to write and draw together to produce a narrative. The narrative written and d1awn documents were then organise,' into categories. Each of these categories indicated the common relationships between drawing and writing evident in the children's work. The results of the study showed that drawing and writing have various relationships and have different functions in the production of narrative by children in Year Two. A discussion of these relationships and functions provides educators with an insight into the value and effectiveness of combining drawing and writing to create a narrative for children of this age group.
A 13-b 10-Msample/s ADC digitally calibrated with oversampling delta-sigma converter

Two key techniques necessary to digitally calibrate multistep or pipelined converters are demonstrated in a differential 5-V, 13-b, 10-Msample/s analog-to-digital converter (ADC). One technique, called code-error calibration, is to linearize the transfer characteristic of digital-to-analog converters (DAC's) while the other, called gain-error proration, is to evenly distribute interstage gain errors over the full conversion range. The core of the former technique is an oversampling delta-sigma ratio calibrator working synchronously with the converter. This digital calibration process constantly tracks and updates the code errors without interfering with the normal operation. The prototype converter fabricated using a 1.4-μm BiCMOS process consumes 360 mW with a 5-V single supply and exhibits a signal-to-noise ratio of 71 dB and a maximum end-point integral nonlinearity of 1.8 LSB at a 13-b level. The proposed techniques can be incorporated into general multistep or pipelined ADC's without sacrificing the conversion speed
CPU performance evaluation and execution time prediction using narrow spectrum benchmarking

Runs of a benchmark or a suite of benchmarks are inadequate either to characterize a given machine or to predict the running time of some benchmark not included in the suite. Further, the observed results are quite sensitive to the nature of the benchmarks, and the relative performance of two machines can vary greatly depending on the benchmarks used. In this dissertation we propose and investigate a new approach to CPU performance evaluation. The main idea is to represent machine performance and program execution in terms of a high level abstract machine model. The model is machine-independent and thus is valid on any uniprocessor. We have developed tools to measure the performance of a variety of machines, from workstations to supercomputers. We have also characterized the execution of many large applications, including the SPEC and Perfect benchmark suites. By merging these machine and program characterizations, we can estimate execution times quite accurately for arbitrary machine-program combinations. Another aspect of the research has consisted in characterizing the effectiveness of optimizing compilers. Another contribution of this dissertation is to propose and investigate new metrics for machine and program similarity and the information that can be derived from them. We define the concept of pershapes, which represent the level of performance of a machine for different types of computation. We introduce a metric based on pershapes that provides a quantitative way of measuring how similar two machines are in terms of their performance distributions. This metric is related to the extent to which pairs of machines have varying relative performance levels depending on which benchmark is used. A similar metric for programs allows us to compare and cluster them according to their dynamic behavior. All this information helps to identify those parameters in machines and programs which are the most important in determining their execution times. Further, it provides a way for designers and users to identify potential bottlenecks in machines, compilers, and applications.