Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulation of Complex Cuts in Soft Tissue with the Extended Finite Element Method (X-FEM)

In this paper we present an approach to model discontinuities in the solution of the elasticity problem without changing the initial grid topology. In the context of surgery simulation or real-time intraoperative registration this method allows for adapting a finite element model during the operation in the presence of cutting or resection. We outline a formulation of the eXtended finite element method (X-FEM) for elastic solids and present an approach for modeling arbitrary cuts by means of finite elements on tetrahedral grids. For this purpose, completely cut elements are enriched with the shifted Heaviside function and partially cut elements are enriched with so-called asymptotic crack tip functions. In this context we show how to handle the geometry of partial cuts and how the necessary local coordinate system based on polar coordinates is constructed. Finally, we present a flexible implementation of the approach. A numerical validation shows that the approach can handle complex cuts through low resolution geometries. Furthermore, a convergence analysis reveals that the approach is superior to standard remeshing techniques in terms of accuracy per degrees of freedom. The source code of the presented method is available under an open-source license.
Parametric macromodeling of integrated inductors for RF circuit design

Nowadays, parametric macromodeling techniques are widely used to describe electromagnetic structures. In this contribution, the application of such parametric macromodeling techniques to the design of integrated inductors and radio‐frequency circuit design is investigated. In order to allow such different operations, a new modeling methodology is proposed, which improves the modeling accuracy when compared to former techniques. The new methodology is tailored to the unique characteristics of the devices under study. The obtained parametric macromodel is then used in a synthesis methodology and in the design of a voltage controlled oscillator in a 0.35‐μm CMOS technology. © 2017 Wiley Periodicals, Inc. Microwave Opt Technol Lett 59:1207–1212, 2017
A WCET Test Method Based on Associative Process Communication

The Real-time system estimates the worst-case execution time (WCET) of the program to ensure the real-time requirements of the system. In this paper, a test method based on Associative Process Communication (APC) is put forward. First it tests the WCET value of basic blocks of ICFG through the use of APC algorithm, and then estimates the WCET by analyzing the worst execution path of the basic block. APC test method tests all benchmarks of Mälardalen. And the test results show that the proposed test method is precise and effective, and the test error is within the theoretical analysis.
Dictionary Attack on Functional Transform‐Based Cancelable Fingerprint Templates

Recently, Ratha and others proposed a cancelable biometrics scheme which transforms an original fingerprint template into a new one using a noninvertible transformation. However, we show that the original template is recovered by a dictionary attack if two transformed templates originating from it are revealed. In our attack, we simulate the transformation and construct a set of possible pre‐images for each transformed template. Then, we find the correct pre‐image by computing the intersection of these sets. We present an algorithm implementing this idea as well as successful experimental results.
Accelerating PQMRCGSTAB Algorithm on Xeon Phi

Utilizing iterative method to solve the large sparse linear systems is the key to many practical mathematical and physical problems. Recently, Intel released Xeon Phi, a many-core processor of Intel’s Many Integrated Core (MIC) architecture, comprises 60 cores and supports 512-bit SIMD operation. In this work, we aim at accelerating an iterative algorithm for large spare linear system, named PQMRCGSTAB, by using both Xeon Phi’s 8-way vector operation and dense threads. Then, we propose three optimizations to improve the performance: data prefetching to hide the data latency, vector register reusing, and SIMD-friendly reduction. Our experimental evaluation on Xeon Phi delivers a speedup of close to a factor 6 compared to the Intel Xeon E5-2670 octal-core CPU running the same problem.
A lower proportion of circulating active parathyroid hormone in peritoneal dialysis does not allow the pth inter-method adjustment proposed for haemodialysis.

INTRODUCTION Parathyroid hormone (PTH) shows a strong correlation with histomorphometric and biochemical parameters of bone turnover, however its measurement presents limitations due to inter-method variability. Circulating PTH is a mixture of peptides, but only on its whole form (1-84 PTH) is responsible of PTH biological activity. Carboxyl-terminal fragments exhibit antagonist actions and their proportion differs at each stage of chronic kidney disease, as consequence of differences on their renal clearance. The aim of this study is to evaluate possible differences in the proportion of these fragments according to dialysis type: haemodialysis (HD) or peritoneal dialysis (PD). MATERIAL AND METHODS Serum total (Ca) and ionized calcium (iCa), phosphate (P), carboxyl-terminal telopeptides of collagen type I (BCTx) were measured in 73 patients on PD (46 men and 27 women with an age between 22 and 82 years). PTH was quantified by six second generation assays (one isotopic and five chemiluminescence assays) and by one third generation PTH method. RESULTS Mean serum levels of Ca, iCa, P and BCTx were 9.03, 4.76, 4.73 mg/dl and 1181 pmol/l, respectively. Significant differences were observed in PTH values according to the method used. Adjustment of PTH results to PTH Allegro (Nichols) range of 150-300 nmol/l in PD patients showed higher values than those assessed previously for HD population. The percentage of biologically active 1-84 PTH as the 1-84 PTH/ 7-84 PTH ratio in PD were significantly lower than in HD patients, reflecting the higher proportion of 7-84 PTH circulating fragments for a given intact PTH result in PD. CONCLUSIONS PD patients have a higher proportion of 7-84 PTH circulating fragments. Consequently, the inter-method adjustment algorithms proposed for HD patients are not useful for PD patients. This study proposes alternative algorithms for PTH inter-method adjustment to be applied in PD.
The Role of Scalp EEG in the Presurgical Evaluation of Patients with Medically Refractory Temporal Lobe Epilepsy

ABSTRACT. Although the scalp EEG findings in medically refractory temporal lobe epilepsy (TLE) have been known for more than half a century, recent developments have helped us to utilize these data more effectively in selecting ideal candidates for epilepsy surgery and thereby improving the postoperative seizure outcome. We have summarized the currently available information about the value and limitations of interictal and ictal scalp EEG data in the localization of the epileptogenic focus. A majority of patients with medically refractory TLE can be recruited for surgery based on concordant scalp EEG and magnetic resonance imaging findings. There are distinctive characteristics in the interictal and ictal scalp EEG that, when correlated with clinical, neuropsychological, and imaging data, are helpful in differentiating between mesiobasal and lateral (neocortical) TLE syndromes. Future research on the role of scalp EEG in the presurgical evaluation of patien ts with medically refractory TLE should concentrate on the following areas: influence of sleep on temporal interictal epileptiform discharges (IEDs) and its implications; frequency, pathogenesis, and significance of bilateral independent temporal IEDs; anatomopathological correlates of scalp-recorcled interictal and ictal EEG patterns; cost-effective utilization of long-term EEG-video monitoring by selecting the subjects who require this investigation; the role of sphenoidal electrodes in ascertaining interictal and ictal EEG data; the significance of scalp-recorded interhemispheric propagation of ictal rhythms and its prognostic implications; and the correlation of scalp-recorded EEG data with magnetoencephalography and functional neuroimaging findings.
A Mechanism to identify Indoor or Outdoor Location for Three Dimensional Geofence

Geofence is a virtual perimeter for a real-world geographical area, which could be statically or dynamically established the specified area if necessary. Many geofencing applications incorporate 2D(two-dimensional) map such as the Google map, allowing administrators to define boundaries on top of a satellite view of a specific geographical area. But these applications do not provide 3D(three-dimensional) spatial information as well as 2D location information no matter where indoor or outdoor. Therefore we propose a mechanism to identify indoor or outdoor location for 3D geofence, and implement 3D geofence using smartphone. The proposed mechanism identifies the position information on 3D geofence regardless of indoor or outdoor, inter-floor with only GPS and WiFi. In the near future, 3D geofence as well as LBS are promising applications that become possible when IoT can become organized and connected by location.
Analysis of the skill of periodic motion using a Bayesian network

We analyzed the skill of hula hooping motion using a Bayesian network to build a model of human periodic motion. Many human movements are periodic motions; e.g., walking and running. Therefore, an analysis method for the characterization of a periodic motion is needed. We chose the rotation of a hula hoop as periodic motion because it is easy to discriminate failure or success for this task. We created our model with the intention it be used in rehabilitation and sports instruction. Physical models are popular for motion analysis. However, they require the use of large-scale measurement systems for each application; e.g., three dimensional motion analysis, electromyograph sensing, and force-plate analysis, all require large research laboratories. Physical models are thus not always suitable. We solved this problem by building a causal relation model to focus on important body parts and important phases of movement for instruction using the Bayesian network. We found that the model can determine the skills of periodic motion.
Prevalencia de riesgo de desnutrición evaluada con NRS-2002 en población oncológica mexicana

Objective: Hospitalized patients have high risk of malnutrition, specially those with cancer. There are some screening tools that lead to the detection of malnutrition in hospitalized patients, as Nutritional Risk Screening 2002 (NRS-2002), which we used in Mexican population with cancer at the moment of hospital admission to determine the prevalence of malnutrition risk, and to determine as well as the best predictive item to measuring nutritional risk in our population. Methodology: Nutritional status in cancer patients with NRS 2002 during hospital admission was assessed. To the analysis of variable non statistical parametric tests, student-t test, Pearson and Spearman test, as well as ANOVA test were used. To determine the best item for predicting nutritional risk in Mexican population with cancer, a logistic regression test was applied. Results: Of our population, 50.2% of were classified as patients in nutritional risk at hospital admission. Gender, age, normal levels of IMC lower than 20.5, food intake, weight loss and hematological cancer were associated with nutritional risk (p < 0.05). The best model of logistic regression for predicting nutritional risk were the same used by NRS-2002 questionnaire (p < 0.05). Conclusion: Malnutrition prevalence is high in cancer patients and NRS-2002 is a reliable tool for predicting nutritional risk in Mexican population with cancer.
Detection and Classification of Speech Balloons in Comic Images

Today, the demand is increasing for comic contents on cellular phones and speech software for the visually impaired. When speech software reads aloud a comic character's speech, it is useful for both the visually impaired and unimpaired to have the character's voice injected with his/her feeling, which is inferred from types of speech balloons. As a result, comic contents come to life. In this research, a method has been developed to detect speech balloons on comic pages and then classify them into four types. In this method, speech balloon candidates are extracted based on speech text information detected by AdaBoost, and then speech balloons are selected and classified using SVM. Experimental results show that the proposed method successfully detected and classified 86 percent of 2844 speech balloons.
Ratio cintura-estatura y riesgo de síndrome metabólico en adolescentes chilenos

Objectives: the aims of this study are twofold: i) to analyze the prevalence of risk of Metabolic Syndrome (MS) using the waist to height ratio (WHR) in a national representative sample of Chilean adolescents; and ii) to obtain percentile tables of WHR by sex and age for this population. Methods: cross-sectional study with a sample of 23180 adolescents (boys n=11253; girls n=11927) from 13 to 16 years old. It was obtained anthropometric measures of height, weight and waist circumference. Risk of MS was calculated by the WHR with a cutoff of 0.5. Prevalence for risk of MS was calculated for all Chilean regions. Percentile table of WHR was calculated for this population. Results: participants who had a WHR higher than 0.5 was 22.4%. This prevalence was higher in the most extreme regions (both north and south). Girls aged 15 and 16 showed higher WHR than boys. Results of this study shows higher values in WHR than published in previous international studies. Conclusion: It has been calculated the risk of MS for Chilean adolescents using WHR and it is associated to sex and region. Additionally percentile tables of WHR for Chilean adolescents aged 13 to 16 have been calculated.
Retrospective and prospective follow‐up studies in anorexia nervosa

After some introductory remarks on research strategies in the course of anorexia nervosa, findings of two studies are reported. In retrospective studies, 21 female former patients were reevaluated at a mean follow-up of 9.4 years. Both interviews and questionnaires revealed continuing psychic impairment of the former patients. The long-range effects after therapies of various types during inpatient treatment did not show remarkable differences. Furthermore, psychoanalytical outpatient treatment did not seem to positively influence outcome. In addition to these findings from retrospective studies, evaluation strategies and results are demonstrated with regard to a short-term course of inpatient treatment of a prospective series of patients.
VERB BASED MANIPURI SENTIMENT ANALYSIS

This paper deals about the sentiment analysis of the Manipuri article. The language is very highly agglutinative in Nature. The document files are the letters to the editor of few local daily newspapers. The text is processed for Part of Speech (POS) tagging using Conditional Random Field (CRF). The lexicon of verbs is modified with the sentiment polarity (Positive or Negative or Neutral) manually. With the POS tagger the verbs of each sentence are identified and the modified lexicon of verbs is used to notify the polarity of the sentiment in the sentence. The total number of polarity for each category that is positive, negative and neutral is counted separately. The highest total of the three is the deciding factor of the sentiment polarity of the document. The system shows a recall of 72.10%, a precision of 78.14% and a Fmeasure of 75.00%.
The Effect of Information Systems Criterion on the EFQM Model in Institutions of Higher Education

The purpose of this paper is to empirically test the effect of information systems criterion on the European Foundation for Quality Management (EFQM) excellence model in Higher Education Institutions (HEIs). The paper identifies five (5) causal hypotheses from literatures that are related to the information systems criterion. The data were collected from 118 Malaysian higher education institutions through the questionnaire survey. The empirical data were analysed using Structural Equation Model (SEM) via the AMOS version 21 software. The respondents are limited only to the quality managers in Malaysian higher education institutions. The results indicate that there are three (3) significant relations and two (2) insignificant relations within the model. Leadership has positive effects on information systems and information systems have positive effects on policy and strategy; and partnership and resources.However, information systems do not have positive effect on people and processes. By using information systems in EFQM excellence model is necessary for the improvement of quality in the field of higher education institutions.
Does Ethicality Wane With Adulthood? A Study of the Ethical Values of Entrepreneurship Students and Nascent Entrepreneurs

The authors examined the following questions: Does gender influence the ethicality of enterprise students to a greater extent than it does nascent entrepreneurs? If this is the case, then is it due to factors associated with adulthood such as age, work experience, marital status, and parental status? Sex-role socialization theory and moral development theory are used to support the development of hypotheses. A total of 128 undergraduate business enterprise students and 204 nascent entrepreneurs participated in this study. Ordinary least squares regression was used to produce estimates to support hypothesis testing. The findings suggest implications for entrepreneurship education and future research in this area.
Toward a Rhetoric of Locale: Localizing Mobile Messaging Technology into Everyday Life

This article explores the social meaning of locale in mobile communication research and introduces an approach of user localization to study technology integration. It investigates how locale forms an essential role in mobile communication in the way that practice, agency, and identities are articulated into a user localization process of incorporating technology into user's everyday life. It argues that the use of mobile communication technology is both a complex and dynamic interaction with its surrounding social, cultural, technological, and economic conditions, and an articulation work of self and locale.
Advances in Patient Safety: From Research to Implementation (Volume 2: Concepts and Methodology)

While systems thinking enables new and productive approaches to improving patient safety, it brings with it its own conceptual challenges—challenges that, if not recognized and addressed, will both slow our progress and introduce new harm. These challenges require that we learn more about how to apply systems thinking to health care, through answering such questions as: What are the microsystems and macrosystems in health care? How can their performance be measured? How do they interact? What are their vulnerabilities—and strengths? What are the strengths and weaknesses of each component that comprises the system? How can those strengths and weaknesses compensate for each other within the larger system? How can the functions of each component be optimized so that the results of the system are maximized? How can we identify and monitor for unintended consequences? How can we intervene to prevent harm from unintended consequences? Many of these questions are the direct or indirect foci of the articles in this volume on “Concepts and Methodology. ”
Prediction of Investment Patterns Using Data Mining Techniques

Risk taking capability of a person in the financial market is based on many factors including demographic factors like age, education, marital status etc. In this paper in order to analyze the various investment instruments used by the people of different profiles; we have applied fuzzy data mining technique to the demographic factors of a human being. After the division into fuzzy clusters, membership of the person to the clusters is calculated. After the memberships, the derived memberships are used to find the people those have the memberships in the similar range. The result is in the form of investment patterns of the similar people . In further processing the FP growth is applied to find the most recurring patterns. The process sequence for the same has been shown in the paper through the example of five input sets. The main aim of this paper is to apply data mining to find the investment patterns of a person based on their characteristic.
Automatic Text Difficulty Classifier - Assisting the Selection Of Adequate Reading Materials For European Portuguese Teaching

This paper describes a system to assist the selection of adequate reading materials to support European Portuguese teaching, especially as second language, while highlighting the key challenges on the selection of linguistic features for text difficulty (readability) classification. The system uses existing Natural Language Processing (NLP) tools to extract linguistic features from texts, which are then used by an automatic readability classifier. Currently, 52 features are extracted: parts-of-speech (POS), syllables, words, chunks and phrases, averages and frequencies, and some extra features. A classifier was created using these features and a corpus, previously annotated by readability level, using a five-levels language classification official standard for Portuguese as Second Language. In a five-levels (from A1 to C1) scenario, the best-performing learning algorithm (LogitBoost) achieved an accuracy of 75.11% with a root mean square error (RMSE) of 0.269. In a three-levels (A, B and C) scenario, the best-performing learning algorithm (C4.5 grafted) achieved 81.44% accuracy with a RMSE of 0.346.