Miracle-dz/UniFAR-FTUs huggingface dataset:
Um novo escore para dependência a nicotina e uma nova escala de conforto do paciente durante o tratamento do tabagismo

Smoking is considered the leading preventable cause of morbidity and mortality. The pharmacological management of nicotine withdrawal syndrome enables better cessation rates. In our smoking cessation program, we have developed a data collection system, which includes two new instruments: a score that assesses nicotine dependence in smokers of < 10 cigarettes/day; and a patient comfort scale to be used during smoking cessation treatment. Here, we describe the two instruments, both of which are still undergoing validation.
Grid-based Clustering with Predefined Path Mobility for Mobile Sink Data Collection to Extend Network Lifetime in Wireless Sensor Networks

Abstract In a typical wireless sensor network scenario, all the data are routed back to a static sink. Sensor nodes near the static sink have to forward all the data from sensor nodes that are away from the sink and thus carry a heavier traffic load leading to energy hole problem and shorter network lifetime. Hence, to overcome this limitation, a novel method is employed wherein centralized cluster configuration by mobile sink is used for Grid-based clustering (GBC) along with dual cluster heads (CHs) (a combination of primary and secondary CHs) to achieve enhanced energy balance in the network, thereby extending network lifetime. It is seen that this scheme works well for uniform as well as non-uniform node distribution. The importance of this work is the ease of formation of the clusters of equal size and selection of CHs. The simulation results show that the GBC using mobile sink outperform other clustering schemes in terms of network lifetime and energy dissipation.
Do sociolinguistic variations exist In programming

Machine learning techniques are currently widely used in the analysis of natural language. This thesis focuses on extending these techniques for analysis of programming languages. In particular we are interested in determining whether there are differences in the use of programming languages that might be associated with the authors’ gender. There are currently few studies that address possible relationships between linguistics and programming. In this thesis we use computer programs as the samples in our dataset. These programs have been written using the C++ programming language. We also acquired sociolinguistic information about the programmers, with the focus especially on gender. We use machine learning and statistical techniques to identify patterns (in language use) that are consistent for male and female programmers. The results of numerous experiments are encouraging. We demonstrate that we can predict the gender of programmers with 71% accuracy and detect similarities or dissimilarities in their programming style.
Integrated Control Centre

The new Control Centre developed by DIMETRONIC S.A. , has been conceived as a system capable of integrating as much as the functions performed in a modern railway traffic running. The main characteristics of the system are: Architecture based on LAN Ethernet LAN protocol, TCP/IP PA-RISC machines UNIX environment Integration of functions Distributed process Operator's interface based on X-Windows High availability based on duplication of LAN and computers Easily expandable Conectivity to others systems under commercial standards User tools for data base and system configuration System configuration The system architecture consists of a dual Ethernet LAN, as shown in the figure, control computers, operators desks and communications computers. The system comprises 3 subsystems: Control and supervision It is a dual computer set in hot stand-by configuration. They performs the functions or subfunctions common to all the system. This set can be expanded according to the size of the network. Transactions on the Built Environment vol 7, © 1994 WIT Press, www.witpress. com, ISSN 1743-3509
Novel Prognostic Biomarkers for HCC Progression in Egyptian Patients

Objectives: To evaluate values of Cyclin D and Cdk4 in HCC, hepatitis diseases and healthy controls, their clinicoradiological correlations and prognosis of HCC. Methods: Group 1:50 patients with HCC, Group 2: 50 patients with hepatitis diseases and Group 3: 30 healthy controls were enrolled. All patients were positive for hepatitis C virus (HCV) antibody and confirmed by HCV RNA. Calculation of Barcelona-Clinic Liver Cancer (BCLC) staging system, MELD and Child-Pugh scores. mRNA for cyclin D1 and Cdk4 were analyzed by quantitative RT-PCR. Results: The mean Cyclin D1 and Cdk4 values were higher in HCC group compared with the other two groups (p value= 0.001). In HCC group, the mean Cdk4 and cyclin D1values were significantly higher among patients with multiple hepatic focal lesion (HFL) (p value= 0.0001, 0.003 respectively) compared with those with single lesion. A significant correlation between size of (HFL), alpha-Fetoprotein (AFP) and mean Cdk4 value (p value= 0.028, 0.0001 respectively). Conclusion: Significant values of cyclin D1 and Cdk4 in HCC, compared to normal and hepatitis diseases, correlated to the number, size of HFL and AFP level. Thus, the assessment of cyclin D1 and Cdk4 may provide a novel strategy for prognostication and targeted therapy of HCC.
Parsing spoken phrases despite missing words

The authors compare the recognition accuracy obtained in forming sentence hypotheses using island-driven sentence parsers with parsers that hypothesize sentences in left-to-right fashion. Island-driven parsing algorithms are especially valuable in speech recognition systems because they can function more gracefully when not all of the correct words of an utterance were produced by the word hypothesizer. The inputs to both types of parsers consist of a lattice of candidate words, which are identified by their begin and end times, and the quality of the acoustic-phonetic match. Grammatical constraints are expressed by trigram models of sequences of lexical and semantic labels. The authors found that the island-driven parser produces parses with a higher percentage of correct words than the left-to-right parser is all cases considered. When the quality of the input lattices is extremely high, differences in parsing accuracy can be directly attributed to the superior ability of the island-driven parser to handle lattices with missing words. With lower-quality input, the accuracy of both types of parsers degrades, which is due to the creation of garden-path hypotheses and a lack of good words to serve as seeds for island formation. <<ETX>>
THE JAPANESE FRAMENET PROJECT: A Preliminary Report

The KWIC Search Tool Searches for both the root form and conjugated forms of a keyword at the same time. Can be used with a dependency structure analyzer CaboCha (developed at Nara Institute of Science and Technology), which performs syntactic parsing as well as morphological analysis. Using our KWIC search tool together with CaboCha thus enables us to add any text to our corpus. Three display modes: 1) Parse Tree Mode 2) Morphological Analysis Mode 3) Context Display Mode Written in Ruby script language; Runs on Linux, Solaris, and Windows platforms.
Validation of the food frequency questionnaire for the assessment of dietary vitamin D intake

Vitamin D and its adequate status are related to many aspects of human health; therefore, an appropriate tool is needed for the valid assessment of vitamin D status. The main contributor to vitamin D status is endogenous synthesis after cutaneous exposure to ultraviolet B light (UVB), but in the absence of UVB radiation, vitamin D intake becomes an important source of vitamin D. Various tools are available for vitamin D intake assessments, with the Food Frequency Questionnaire (FFQ) being among the fastest, cheapest, and most convenient; however, until now, these tools have not been adapted for the Slovenia (SI). To enable valid vitamin D intake estimation, we developed a simple one-page semi-quantitative FFQ (sqFFQ/SI) and tested its validity using a 5-day dietary record (DR) as a reference method. The reproducibility was tested with the second sqFFQ/SI (sqFFQ/SI2) 6 weeks after the first (sqFFQ/SI1). The validity and reproducibility of this method were tested on 54 participants using Bland–Altman plots, Spearman’s correlation, and Kappa analyses of tertiles. The mean daily vitamin D intake was 3.50 ± 1.91 μg according to the 5-day DR, and 2.99 ± 1.35 and 3.31 ± 1.67 μg according to the sqFFQ/SI1 and repeated sqFFQ/SI (sqFFQ/SI2), respectively. When analyzing for validity, the sqFFQ/SI1 was found to be significantly correlated (p < 0.05) with the 5-day DR, with an acceptable correlation coefficient of 0.268 and a Bland–Altman index of 3.7%. For reproducibility, the correlation between the sqFFQ/SI1 and sqFFQ/SI2 was highly significant (p < 0.001), with a good correlation coefficient of 0.689 and a Bland–Altman index of 3.7%. Kappa analyses of tertiles showed a poor validity and acceptable reproducibility. Overall, we observed a higher reproducibility than validity. Validation and reproducibility analyses demonstrated that the proposed sqFFQ/SI is acceptable and is, therefore, an appropriate tool for the effective assessment of habitual vitamin D intake on an individual level. With this consideration, this tool will be used in further population studies to assess vitamin D intake and for the development of a screening tool for the assessment of the risk for vitamin D deficiency, which will be used as a foundation for evidence-based policy-making decisions.
Conceptual Data Warehouse Design

A data warehouse is an integrated and timevarying collection of data derived from operational data and primarily used in strategic decision making by means of online analytical processing (OLAP) techniques. Although it is generally agreed that warehouse design is a non-trivial problem and that multidimensional data models and star or snowflake schemata are relevant in this context, hardly any methods exist to date for deriving such a schema from an operational database. In this paper, we fill this gap by showing how to systematically derive a conceptual warehouse schema that is even in generalized multidimensional normal form.
Model of Microwave 's and Comparison with Lumped el and Ex erimental Results

This paper describes a rigorous and systematic procedure to derive a unified and complete semidistributed FET model that can be easily implemented in CAD routines of simula- tors. We have used the three coupled-line theory, including active and passive electromagnetic coupling between the semiconductor electrodes. The analytical formulas are given in order to calculate the capacitances of the electrodes and sufficient agreement is obtained in comparison with numerical analysis. For the first time, the experimental data of the device are compared with full three coupled-line theory and three coupled-line sliced model. This full semidistributed approach to FET modeling is applied to the analysis of a submicrometer-gate GaAs FET at centimeter and millimeter-wave frequencies, and the results are compared with the lumped element approach. The maximum available power gain (MAG) and the maximum stable power gain (MSG) of the device is calculated as a function of device width and frequency. Both the losses caused by the channel and those caused by the finite electrode conductivity are included. Good agreement is obtained between theory and experiment.
A 108-GHz InP-HBT monolithic push-push VCO with low phase noise and wide tuning bandwidth

This paper reports on what is believed to be the highest frequency bipolar voltage-controlled oscillator (VCO) monolithic microwave integrated circuit (MMIC) so far reported. The W-band VCO is based on a push-push oscillator topology, which employs InP HBT technology with peak f/sub T/'s and f/sub max/'s of 75 and 200 GHz, respectively. The W-band VCO produces a maximum oscillating frequency of 108 GHz and delivers an output power of +0.92 dBm into 50 /spl Omega/. The VCO also obtains a tuning bandwidth of 2.73 GHz or 2.6% using a monolithic varactor. A phase noise of -88 dBc/Hz and -109 dBc/Hz is achieved at 1- and 10-MHz offsets, respectively, and is believed to be the lowest phase noise reported for a monolithic W-band VCO. The push-push VCO design approach demonstrated in this work enables higher VCO frequency operation, lower noise performance, and smaller size, which is attractive for millimeter-wave frequency source applications.
The co-design of virtual machines using reconfigurable hardware

The prominence of the internet and networked computing has driven research efforts into providing support for heterogeneous computing platforms. This has been exemplified by the emergence of virtual machines, such as the Java virtual machine. Unfortunately, most virtual computing platforms come with a performance penalty. This dissertation investigates a new approach for providing virtual computing platforms through the use of reconfigurable computing devices and hardware/software co-design. Traditionally, when designing a hardware/software solution, instance specific methods are used to iterate towards a solution that satisfies the requirements. This is not an ideal approach as the costs involved with integrating hardware and software components are significant. This technique demotes the interface between the hardware and software, often resulting in major complications at the integration stage. These problems can be avoided through adherence to a sound methodology which the co-design process follows. This dissertation examines the original concept of using hardware/software co-design and reconfigurable computing as a means of providing virtual machine platforms. Specifically the contributions include an advancement towards a new general computing paradigm and architecture; guidelines and several algorithms for applying the general hardware/software co-design process to the specific virtual machine class of problems; and an assessment of the potential advantages of using co-design as an implementation approach for virtual machines. These are applied to the Java virtual machine and simulated for insights into the potential benefits, requirements, and caveats of co-design for virtual machines. This research demonstrates that using hardware/software co-design as described specifically for virtual machines, the solution can offer performance benefits over a software-only solution. These performance increases will be shown to be dependent upon several factors such as the application itself and the underlying architectural features. This dissertation will promote and give evidence that reconfigurable computing can be used for more general purpose computing and not just for specific problem instances.
Effects of freezing onfunctionality and physicochemical properties of a 3D-human skin model

Three-dimensional skin substitutes reconstructed by tissue engineering have strong potential to emulate skin conditions in vivo, although their production necessitates a relatively long period of time. Storage of cry preserved substitutes among time, using some kind of banking system, would be a conceivable solution to make their utilization more appealing for dermopharmaceutical testing. This study evaluated the effects of freezing at -20°C over a period of 2months on the structural and physicochemical properties of skin substitutes produced by tissue engineering.
Outcomes of “sandwich” chemoradiotherapy compared with chemotherapy alone for the adjuvant treatment of FIGO stage III endometrial cancer

Objective To analyze and compare outcomes of adjuvant chemoradiotherapy in patients with International Federation of Gynecology and Obstetrics (FIGO) stage III endometrial cancer (EC) patients using the “Sandwich” sequence and chemotherapy (CT) alone. Methods From, 2005 to, 2019, we retrospectively reviewed 80 patients with FIGO stage III EC who received treatment at our institute. We analyzed 66 patients who had undergone complete surgical staging followed by adjuvant treatment with sandwich chemoradiotherapy (39 patients) and CT alone (27 patients). The 5-year overall survival (OS), progression-free survival (PFS), and disease-specific survival (DSS) were calculated using the Kaplan–Meier method. Additional prognostic factors were analyzed using Cox proportional hazards regression. Results Herein, the analysis was conducted using 66 patients with a median follow-up period of 50 and 85 months in the sandwich and CT-alone arms. Comparing the sandwich sequence and CT-alone groups, the 5-year OS and PFS were 87% vs. 70% (p = 0.097) and 77% vs. 65% (p = 0.209), respectively. The sandwich therapy conferred an improved 5-year DSS (92% vs. 70%, p = 0.041) and a lower local recurrence rate (0% vs. 11%, p = 0.031). In multivariable analyses, grade 3 histology and deep myometrial invasion were independent risk factors for 5-year OS and DSS. The sandwich sequence was a positive predictor for 5-year DSS (hazard ratio [HR] = 0.23, p = 0.029). The sandwich arm demonstrated higher acute hematologic toxicity than the CT-alone arm. CT dose delay/reduction and treatment completion rates were similar in both groups. Conclusion For patients with stage III EC, postoperative sandwich chemoradiotherapy appears to offer a superior 5-year DSS and local control with tolerable toxicity when compared with CT alone.
Improved Model Free Learning Control Method for Nonlinear System

Based on the basic theory and deficient points of Model-free Learning Adaptive Control (MFLAC) method, the Multi-innovation (MI) theory and Particle Swarm Optimization (PSO) algorithm were introduced into the improved measures. The simulation results show that the proposed controller has faster convergence rate and better tracking performance. The improved method, MI-MFLAC based on PSO, has the advantage of simplicity and effectiveness. The method is easy to implement for nonlinear system.
Live, Model, Learn: Experiencing Information Systems Requirements through Simulation.

Steganography is the art and science of concealing communication. The goal of steganography is to hide the very existence of information exchange by embedding messages into unsuspicious digital media covers. Cryptography, or secret writing, is the study of the methods of encryption, decryption and their use in communications protocols. Steganography manipulates data to ensure the security of information, but the concept of steganography differs from cryptography. Cryptography obscures the meaning of a message, but it does not conceal the fact that there is a message. The goal of cryptography is to make data unreadable by a third party, whereas the goal of steganography is to hide the data from a third party. We present a way to integrate steganography and cryptology examples into introductory programming courses. This enrichment promotes active involvement in the course and provides opportunity to engage students in experimental problem solving and collaborative learning to enhance critical thinking.
Using Schur complement for realtime automotive applications

Realtime simulation of stiff physical models of mechatronic systems within electronic control unit software functions poses amongst others the challenge to solve linear systems of equations with minimal comutational effort. For this, one key approach is exploiting the model structure. In this paper, Schur complement based reformulations are examined for a tailored exploitation of the sparsity of a pipe model on the level of linear equations. (© 2015 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Upper bounds on RBFN designed by input clustering

In the design of radial basis function networks (RBFNs), several heuristic hybrid learning methods, including a clustering algorithm for locating the centers and a linear least-squares method for the linear weights, have been previously suggested. These hybrid methods can be put into two groups depending on whether the output vector is also involved in the clustering process, which is called the input clustering (IC) and input-output clustering (IOC). A recent paper by Uykan et al. (1998) presents a clustering-based upper bound on the RBFN output error designed by IOC. The main contribution of this paper is to obtain a similar upper bound for the IC case which explicitly depends on the RBFN parameters. This paper also presents some different upper bounds for l/sub 1/ and l/sub 2/ norms used for the quantisation error and the output error in both IC and IOC cases.
Bacteroides fragilis ameliorates Cronobacter malonaticus lipopolysaccharide-induced pathological injury through modulation of the intestinal microbiota

Cronobacter has attracted considerable attention due to its association with meningitis and necrotizing enterocolitis (NEC) in newborns. Generally, lipopolysaccharide (LPS) facilitates bacterial translocation along with inflammatory responses as an endotoxin; however, the pathogenicity of Cronobacter LPS and the strategies to alleviate the toxicity were largely unknown. In this study, inflammatory responses were stimulated by intraperitoneal injection of Cronobacter malonaticus LPS into Sprague–Dawley young rats. Simultaneously, Bacteroides fragilis NCTC9343 were continuously fed through gavage for 5 days before or after injection of C. malonaticus LPS to evaluate the intervention effect of B. fragilis. We first checked the morphological changes of the ileum and colon and the intestinal microbiota and then detected the generation of inflammatory factors, including tumor necrosis factor-alpha (TNF-α), interleukin-1 beta (IL-1β), interleukin-6 (IL-6), and interleukin-10 (IL-10) and the expression of Toll-like receptor 4 (TLR4), occludin, claudin-4, and iNOs. The results indicated that C. malonaticus LPS exacerbated intestinal infection by altering gut microbe profile, tight junction protein expression, and releasing inflammatory factors in a time- and dose-dependent manner. Intriguingly, treatment with B. fragilis obviously diminished the pathological injuries and expression of TLR4 caused by C. malonaticus LPS while increasing gut microbes like Prevotella-9. We note that Shigella, Peptoclostridium, and Sutterella might be positively related to C. malonaticus LPS infection, but Prevotella-9 was negatively correlated. The results suggested that the intestinal microbiota is an important target for the prevention and treatment of pathogenic injuries induced by C. malonaticus LPS.
Some problems in Stochastic Control Theory related to Inventory Management and Coarsening

Some problems in Stochastic Control Theory related to Inventory Management and Coarsening by Jingchen Wu Chair: Xiuli Chao and Joseph Conlon In this dissertation, we study two stochastic control problems arising from inventory management and coarsening. First, we study a stochastic production/inventory system with a finite production capacity and random demand. The cumulative production and demand are modeled by a two-dimensional Brownian motion process. There is a setup cost for switching on the production and a convex holding/shortage cost, and our objective is to find the optimal production/inventory control that minimizes the average cost. Both lost-sales and backlogging cases are studied. For the lost-sales model we show that, within a large class of policies, the optimal production strategy is either to produce according to an (s, S) policy, or to never turn on the machine at all (thus it is optimal for the firm to not do the business); while for the backlog model, we prove that the optimal production policy is always of the (s, S) types. Our approach first develops a lower bound for the average cost among a large class of non-anticipating policies, and then shows that the value function of the desired policy reaches the lower bound. The results offer insights on the structure of the optimal control policies as well as the