Miracle-dz/UniFAR-FTUs huggingface dataset:
NUMERICAL ANALYSIS OF THE INFLUENCE OF BLAST WAVE ON HUMAN BODY

Threats for military personnel during combat missions nowadays are of different sources. Further development of methods for neutralization of mines or improvised explosive devices (IED) explosions must be preceded by identification of the impact phenomenon on crew of the military vehicle. Large accelerations cause injury to a person located in the interior of the vehicle and may lead to permanent disability exempting soldiers from the battlefield. Information about overload coming from the explosion of IEDs on humans are difficult to access or not sufficiently detailed. Therefore, the basis for their acquisition is conducting experimental research and modelling. The paper is presents finite element analysis of blast wave effects on a human body simulated by a numerical 50th percentile HYBRID III dummy. Coupled Euler and Lagrange (ALE) formulations are used in the finite element analysis of such problems to accurately represent the detonation phenomenon. Numerical model was developed in LS-PrePost software. All the computational analyses were carried out using an explicit LS-DYNA solver on multiprocessor cluster. Data such as hip and knee moment of inertia, femoral force, and foot acceleration are collected from the numerical dummy, which simulates the occupant’s response. These data are then compared to injury threshold values from various references to assess survivability.
Capturing crowd dynamics at large scale events using participatory GPS-localization

Large-scale festivals with a multitude of stages, food stands, and attractions require a complex perimeter design and program planning in order to manage the mobility of crowds as a controlled process. Errors in the planning phase can cause unexpected crowd dynamics and lead to stampedes with lethal consequences. We deployed an official app for Züri Fäscht 2013 - the largest Swiss event - over a period of three days. The app offered information about the festival and featured a background localization allowing us to collect continuously the visitor position. With 56,000 app downloads and 28,000 users contributing 25M location updates in total, we obtained a large scale dataset. By aggregation of location points complex crowd dynamics can be captured during the entire festival. In this paper we present the data collection for Züri Fäscht 2013 and best practices to acquire as many contributing users as possible for such an event. Furthermore, we show the potential of aggregated location data and visualize relevant parameters that can serve as tool for analysis and planning of program and perimeter design.
Basic Linear Filters in Extracting of Auditory Evoked Potentials

The aim of this study is to assess the performance of additivity-based linear filtering techniques into two groups in extracting of auditory evoked potentials (EPs) from a relatively small number of sweeps. We named these groups as: Group A (the Wiener filtering (WF) and coherence weighted WF (CWWF) of orthogonal projections) and Group B (standard adaptive algorithms of Least Mean Square (LMS), Recursive Least Square (RLS), and one-step Kalman filtering (KF)). All methods are compared to the traditional ensemble averaging (EA) in simulations, pseudo-simulations and experimental studies based on the signal-to-noise-ratio (SNR) enhancement. We observed that the KF is the best methods among them. The filtering of the projections instead of the raw data improves the performance of filtering operations in both cases of the LMS and WF. The CWWF works better than the conventional WF when it is applied to the projections as well. In conclusion, most of the linear filters show definitely better performance compared to EA. The KF effectively reduce the experimental time (to one-fourth of that required by EA). The projection method so called Subspace Method (SM) in the current study is a useful pre-filter to significantly reduce the noise on the raw data. The use of the SM is revealed in auditory EP estimation. The SM improves the performance of different algorithms.
Categorization of Ecosystems Based on Soundscape Analysis: A Perspective from Image Classification

This article presents a novel approach to analyze thesoundscape in ecosystems, in order to categorize them in terms of their acoustic properties, focusing on the characterization of four ecosystems through an image classification system which contain information of daily acoustic activity in the frequency range (1kHz-11kHz), for five consecutive months. Emphasis is placed on pre-processing of acoustic recordings and their transformation into contour images of normalized power spectral density (nPSD), which acts as a distinctive acoustic metric for each ecosystem. Within the classification system where a support vector machine (SVM) is implemented, the description of the images using SIFT descriptors by dense sampling (DSIFT) and its representation following a BoW scheme is highlighted. The results of the proposed methodology show a high system performance, above 97% accuracy.
Significance of 40-, 45-, and 48-kDa Proteins in the Moderate-to-Severe Clinical Symptoms of Buckwheat Allergy

Purpose This study was aimed to investigate the relationship between the allergen components and moderate-to-severe allergic reactions in patients with buckwheat allergy. Methods Fifteen patients with a history of buckwheat ingestion and a buckwheat specific IgE level≥0.35 kU/L were enrolled. They were divided into 2 groups according to clinical severity scores, with 0-1 being asymptomatic-to-mild and 2-4 being moderate-to-severe symptoms. Immunoblotting was performed to investigate IgE reactivity toward buckwheat allergens and to measure intensity of each component by using a reflective densitometer. Results The proportions of positive band to the 16 kDa (62.5% vs 0%, P=0.026) and 40-50 kDa (87.5% vs 28.6%, P=0.041) buckwheat allergens in the grade 2-4 group were higher than those in grade 0-1 group. The level of buckwheat specific IgE of grade 2-4 group was higher than that of grade 0-1 group (41.3 kU/L vs 5.5 kU/L, P=0.037). The median optical densities (ODs) of IgE antibody binding to 40-50 kDa protein were higher in the grade 2-4 group, compared with those in the grade 0-1 group (130% OD vs 60.8% OD, P=0.037). Conclusions The 40-50 kDa protein is implicated as an important allergen to predict moderate-to-severe clinical symptoms in Korean children with buckwheat allergy.
Holo-transcobalamin is an early marker of changes in cobalamin homeostasis. A randomized placebo-controlled study.

BACKGROUND We examined the effect of oral vitamin B(12) treatment on fluctuations in plasma total cobalamin and its binding proteins transcobalamin (TC) and haptocorrin (HC). METHODS Patients (n = 88; age range, 38-80 years) undergoing coronary angiography (part of the homocysteine-lowering Western Norway B-Vitamin Intervention Trial) were allocated to daily oral treatment with (a) vitamin B(12) (0.4 mg), folic acid (0.8 mg), and vitamin B(6) (40 mg); (b) vitamin B(12) and folic acid; (c) vitamin B(6); or (d) placebo. EDTA blood was obtained before treatment and 3, 14, 28, and 84 days thereafter. RESULTS The intraindividual variation for patients not treated with B(12) was approximately 10% for plasma total cobalamin, total TC, apo-TC, and apo-HC, and <20% for holo-TC and TC saturation. In B(12)-treated patients, the maximum change in concentrations was observed already after 3 days for total TC (-16%), holo-TC (+54%), and TC saturation (+82%). At this time holo-HC (+20%) and plasma total cobalamin (+28%) showed an initial burst, but had increased further at 84 days. All changes were highly significant compared with the control group (P <0.0001). CONCLUSIONS Oral vitamin B(12) treatment produces maximal effects on total TC, holo-TC, and TC saturation within 3 days, whereas maximal increases in holo-HC and plasma total cobalamin occur later. The results support the view that holo-TC is an early marker of changes in cobalamin homeostasis.
Multivariate Analysis of Prognostic Biomarkers in Surgically Treated Endometrial Cancer

Objective The aim of this study was to identify biomarkers with prognostic value in the setting of surgically treated endometrial cancer. Methods Medical data for 282 patients with surgically treated endometrial cancer were reviewed retrospectively. Preoperative concentrations of six serum biomarkers (CA125, CA15-3, C-reactive protein [CRP], D-dimer [D-D], platelet-to-lymphocyte ratio [PLR], and neutrophil-to-lymphocyte ratio [NLR]) were analysed to determine potential associations with clinicopathologic characteristics and to assess prognostic values separately via Kaplan-Meier method and multivariate Cox regression. Results In univariate analyses, the 5-year overall survival (OS) rate was 86.5% for a maximum follow-up period of 75 months. High concentrations of CA125, CA15-3, CRP, D-D, PLR, and NLR each proved significantly predictive of poor survival (log-rank test, P<0.01). CRP and D-D were identified as independent prognosticators, using a Cox regression model. Study patients were then stratified (based on combined independent risk factors) into three tiers (P<0.001), marked by 5-year OS rates of 92.1%, 78.4%, and 33.3%. Conclusions All serum biomarkers assessed (CA125, CA15-3, CRP, D-D, PLR, and NLR) proved to be valid prognostic indices of surgically treated endometrial cancer. A novel prognostic grouping system, incorporating independent risk factors (CRP and D-D Concentrations), may have merit in assessing these patients preoperatively, providing a biologic basis for improved clinical staging.
Estimating the Energy Consumption of Executing Software Processes

Power consumption in data centers is significant across the globe. The use of cloud-based services, e.g., infrastructure as a service and software as a service (such as Google Docs, Microsoft Office 365, Salesforce.com), is becoming a standard practice in modern IT frameworks. This paradigm shift in the IT industry indicates that the demand for data-center-based services will continue to increase in the future, with concomitant increases in power consumption. In such a scenario, optimizing the IT resources to improve energy efficiency is a necessity. The first step of such an optimization at the application level is knowing how much energy an application is consuming. One of the main challenges in this domain is developing a software-based energy metering tool that can measure an OS processes' energy consumption. Many existing solutions depend on an external watt-meter or other hardware-based enhancements, these are not practical for real-world use in data centers. To overcome the limitations of existing solutions, we have developed an OS process-level power metering tool that can accurately estimate the energy usage of each OS process running on a Linux server without an online watt-meter. Based on a set of experiments, we demonstrated that our method and implementation provides energy consumption estimation for complex e-business applications with above 95% accuracy.
Professionalization, Insertion, Mobility and Professional Status. a Comparative Analysis in Populations of Doctors

This study is in line with the analyses of university and working career in their interaction in relation with conditioning factors, carried out by Dr. Aparicio for the past two decades with a variety of populations.t. The aim was to analyze the relation between working conditions and future working perspectives through social representations. There are three core variables: Professional Mobility, Professional Status and perspectives regarding the future of their careers at the personal development level and within the organizations, considering, on the one hand, insufficient Professionalization and the increasing market demands; and on the other the impact structural limits have on the identity level. The methodology used was quanti-qualitative (semi-structured questionnaires, interviews, and hierarchical evocations, out of which we will analyze one node: Labor Market). The population consisted of doctors (2005-2012) from the National University of Cuyo, in Argentina and the CNAM (France) of different courses of study. The analysis is done from a systemic sui generis perspective involving three interwoven levels (macro-meso-micro-macro), called The Theory of the Three-Dimensional Spiral of Sense (See Aparicio, 2015 c and d; also, 2005 2007a; 2007b, 2013a, 2014 b; 2015 c, 2015 d). The results show that it enters in the nucleus of such representations, which relates to the current issue of professional mobility, as regards different study courses and contexts; we can also observe the effect of professionalization on the insertion environment, and on the personal and organizational identity
Children's concepts of childhood and adolescent depression

BACKGROUND Research on adolescent Mental Health Literacy (MHL) is rapidly increasing; however, equivalent research in children is lacking. Exploring children's mental health conceptualisations reveals how their knowledge develops and provides the evidence base for the development of mental health education for younger age groups. METHODS A total of 105 children aged 8-9 and 11-12 years were interviewed using a vignette methodology structured according to the model of illness representations, exploring: recognition, causes, consequences, timeline and curability of depression. Age, gender and experience differences were explored. RESULTS Children were able to identify the existence of a psychological difficulty in a depressed peer; however, they struggled to categorise depression as a mental illness or to label depression. Children referred to a variety of causal factors, primarily environmental and interpersonal rather than internal biological causes. Children considered depression to be curable within a short period of 1-2 months and anticipated negative outcomes if left untreated. Older children's concepts were more sophisticated than younger children's. Gender and experience were not associated with depression concepts in this age range. CONCLUSIONS Age trends in children's mental health concepts are evident, in accordance with previous studies. Children from the age of 8-9 years demonstrate detailed concepts of depression. However, mental health educational interventions are needed to target specific gaps and misconceptions in children's understanding.
Experimental Investigation of a Peer-to-Peer-Based Architecture for Emerging Consumer Grid Applications

In recent years, the application of grid computing has become more common in the scientific and business communities and is likely to be open to the consumer market in the future. The achievement of this scheme, referred to as consumer grids, requires not only an efficient network paradigm for job transmission, but also a scalable and robust architecture, since there is a large number of dynamic resources and users (perhaps millions) and a high frequency of job requests in the consumer market. It has already been verified that the optical burst switching (OBS) network is a promising candidate for consumer grids. However, all the current architectures proposed for grids over OBS networks are client-server (C/S) based, carrying the disadvantages of poor scalability, poor fault tolerance, and low efficiency with increasing numbers of grid users and jobs. In order to address this issue, a novel peer-to-peer (P2P)-based architecture for optical grids is investigated, and this architecture is experimentally demonstrated on a labeled OBS (LOBS) network testbed. Results from theoretical analysis and experimental demonstration show that the proposed P2P-based architecture is feasible, scalable, and efficient for grid applications. Moreover, it outperforms C/S-based architectures for emerging large-scale consumer-oriented grid applications.
Secondary School Students’ Mastery of Integrated Science Process Skills in Siaya County, Kenya

The study investigated secondary school students’ mastery of Integrated Science Process Skills (ISPS) among co-educational schools and the influence of grade level, gender, and school location in Siaya County, Kenya. The study used a causal-comparative design with purposive sampling technique. A 30-item Test of Integrated Science Process Skill (TISPS) developed by Kazeni (2005) was administered. The instrument assesses the skills of controlling variables, defining operationally, formulating hypotheses, experimenting and interpreting data. The instrument was administered to 429 students, 117, 108, 101 and 103 in grades 9, 10, 11 and 12 respectively drawn from one urban co-educational school (n = 215) and one rural co-educational school (n = 214). The data were analyzed by grade level using one-way ANOVA and by gender and school location using an independent sample t-test. The findings indicated moderate mastery of ISPS and statistically significant grade level differences between grades 9 and 10, 10 and 11, 11 and 12, 9 and 11, 9 and 12, and 10 and 12; Gender differences in favor of boys and school location differences in favor of urban school students in mastery of ISPS. The following conclusions are made with regard to integrated science process skills: Mastery of ISPS increases with grade level; boys have a higher mastery of ISPS than girls; the urban school has a higher mastery of ISPS than the rural school. Implications for practice and further research are herein explicated.
Self-Routing in Networks of Embedded Systems using Smart Messages

Smart Messages provide a simple, yet flexible model for programming distributed applications in massive networks of embedded systems. A Smart Message (SM) is a dynamic collection of code and data that migrates through the network, routes itself at each node in the path, and executes on nodes of interest. The nodes of interest are named by properties or content. A key challenge in this model is the ability to discover target nodes, and to route SMs to them. In this paper we describe the SM self-routing mechanism, which provides high flexibility, scalability, and resilience to adverse network conditions. Using this mechanism, applications can choose among multiple content-based routing schemes, or even define the best suited routing algorithm for their needs. We present proof-of-concept implementation, simulation results, and analysis for three classes of content-based routing algorithms. We also show preliminary results for an SM prototype implementation on Compaq iPAQs using Wavelan 802.11 and Bluetooth for communication.
SMS Spam Filtering Through Optimum-Path Forest-Based Classifiers

In the past years, SMS messages have shown to be a profitable revenue to the cell-phone industries, being one of the most used communication systems to date. However, this very same scenario has led spammers to concentrate their attentions into spreading spam messages through SMS, thus achieving some success due to the lack of proper tools to cope with this problem. In this paper, we introduced the Optimum-Path Forest classifier to the context of spam filtering in SMS messages, as well as we compared it against with some state-of-the-art supervised pattern recognition techniques. We have shown promising results with an user-friendly classifier, which requires minimum user interaction and less knowledge about the dataset.
Towards suppression of all harmonics in a polyphase multipath transmitter

This work proposes a direct conversion transmitter architecture intended for cognitive radio applications. The architecture is based on the poly-phase multipath technique, which has been shown to cancel out many of the harmonics, sidebands and nonlinearity contributions of a power up-converter using a large number of signal paths. This work proposes a design only using 8 paths which is able to achieve &#60;−40dBc harmonic suppression for all harmonics, including the dominant 7th and 9th harmonic. This is done with a combination of duty cycle control of the Local Oscillator (LO) waveform and tunable filtering with only a first order roll-off.
The performance of macrodiversity system in the presence of long-term and short-term fading

Probability density function (PDF), moments of signal and amount of fading (AF) at the output of macrodiversity system in closed form are obtained. Moreover, level crossing rate (LCR) of signal at output of macro diversity system is analytically derived and used to study average fade duration (AFD) of the proposed system. Dual maximal-ratio combining (MRC) is implemented at the micro level (single base station) and selection combining (SC) with two base stations (dual diversity) is implemented at the macro level. This model assumes a Nakagami-m density function for the envelope of the received signal and a gamma distribution to model the average power to account for the shadowing. The results are shown graphically for different signal and fading parameters values.
Diagnostic strategies for autosomal dominant acute porphyrias: retrospective analysis of 467 unrelated patients referred for mutational analysis of the HMBS, CPOX, or PPOX gene.

BACKGROUND Clinically indistinguishable attacks of acute porphyria occur in acute intermittent porphyria (AIP), hereditary coproporphyria (HCP), and variegate porphyria (VP). There are few evidence-based diagnostic strategies for these disorders. METHODS The diagnostic sensitivity of mutation detection was determined by sequencing and gene-dosage analysis to search for mutations in 467 sequentially referred, unrelated patients. The diagnostic accuracy of plasma fluorescence scanning, fecal porphyrin analysis, and porphobilinogen deaminase (PBGD) assay was assessed in mutation-positive patients (AIP, 260 patients; VP, 152 patients; HCP, 31 patients). RESULTS Sensitivities (95% CI) for mutation detection were as follows: AIP, 98.1% (95.6%-99.2%); HCP, 96.9% (84.3%-99.5%); VP, 100% (95.7%-100%). We identified 5 large deletions in the HMBS gene (hydroxymethylbilane synthase) and one in the CPOX gene (coproporphyrinogen oxidase). The plasma fluorescence scan was positive more often in VP (99% of patients) than in AIP (68%) or HCP (29%). The wavelength of the fluorescence emission peak and the fecal coproporphyrin isomer ratio had high diagnostic specificity and sensitivity for differentiating between AIP, HCP, and VP. DNA analysis followed by PBGD assay in mutation-negative patients had greater diagnostic accuracy for AIP than either test alone. CONCLUSIONS When PBG excretion is increased, 2 investigations (plasma fluorescence scanning, the coproporphyrin isomer ratio) are sufficient, with rare exceptions, to identify the type of acute porphyria. When the results of PBG, 5-aminolevulinate, and porphyrin analyses are within reference intervals and clinical suspicion that a past illness was caused by an acute porphyria remains high, mutation analysis of the HMBS gene followed by PBGD assay is an effective strategy for diagnosis or exclusion of AIP.