Miracle-dz/UniFAR-FTUs huggingface dataset:
International Journal of Engineering

Web Service Choreography Description Language (WS-CDL) describes and orchestrates the services interactions among multiple participants. WS-CDL verification is essential since the interactions would lead to mismatches. Existing works verify the messages ordering, the flow of messages, and the expected results from collaborations. In this paper, we present a Z specification of WS-CDL. Besides verifying the mentioned concerns, we find out whether the choreographies are realizable by web services protocols at orchestration level. In this regard we detect the interactions between each two distinct participants which lead to deadlock or unspecified reception. An „itinerary purchase‟ case study for prototyping the transformation rules is presented and the Z/EVES tool is used to demonstrate the protocol compatibility. Also, we define multiple attributes to compare the choreography description languages/models from the verification and adaptation viewpoints. doi : 10.5829/idosi.ije. 2016.29. 11b.08
Students’ collaborative patterns in a wiki-authoring project

Purpose The purpose of this paper is to present a case study investigating students’ patterns of collaborative content creation in a wiki project that was designed to promote self-directed and collaborative learning in the context of a university course. In addition, it proposes a new organizational and analysis framework of students’ constructive and collaborative activities in wiki-authoring projects. Design/methodology/approach The key notion, around which the present conceptual and research framework was built, is that a wiki integrates a content space and a social (discussion) space both considered in collaborative manner. The analysis of student contributions to their wiki was organized along two dimensions: interaction and refection posts were analyzed using the framework of Community of Inquiry; content contributions to the wiki pages were classified into five categories: creating a new page, content expansion, content reorganization, content enrichment (with video, images or hyperlinks) and editing and grammatical corrections. Findings The analysis of the research data revealed important information that could help to depict an overall representation of individual interactions and contributions, students’ collaborative performance within wiki groups as well as the overall evolution of the wiki content. The findings showed that properly designed wiki projects can be effectively introduced in higher education with the aim to support students to improve their authoring and collaborative skills through critical thinking, peer interaction and reflection. Research limitations/implications The findings of this study are limited by the specific sample and the context of implementation. Future research will be directed to various educational contexts and to include in the analysis students’ experiences and learning outcomes of wiki-authoring activities. Practical implications The results provided supportive evidence that successful wiki-based projects in higher education depend on the way students’ individual and collaborative authoring contributions are interwoven. Effective wiki-based interventions should consider students’ learning as the outcome of both, individual and collaborative work, determined by self and peer reflection in wiki groups. Originality/value The originality and the significance of the present study are justified by the conceptual framework proposed which can guide both aspects of students’ learning presence within self-directed wiki-authoring projects, i.e. research and educational practice (design and monitoring).
Evaluation on prediction methods of protein secondary structure

One of the most important tasks of the post genome project is Protein structure prediction, the key step of which is protein secondary structure prediction. Generally speaking, if the accuracy of the prediction is up to 80% , a protein' s structure can be predicted precisely. Recently, many methods and servers of protein secondary structure prediction have e-merged. To provide a guild for the relative researchers who will use these methods, we selected 10 effective and important methods for analyzing and evaluating. These methods are GOR I , PROF, GORIV , NNPREDICT, PHDsec, SSpro v 2.0, PSIPRED, PREDATOR, SOPMA and APSSP2. The results showed that the accuracies of APSSP2, SSpro v 2. 0 and PSIPRED are higher than other methods, and APSSP2 had the best performance.
A Method of Adative Maneuvering Target Tracking Based on VSMM

Mounts of intricate maneuvering target tracking problems have been solved by adaptive interacting multiple model(AIMM) algorithm;however,the algorithm could not be generalized ones for its limitation of the usage of comparatively limited models.An adaptive multiple model with variable structure(AVSMM) algorithm,which adopts the same adaptive measurements as has done in AIMM,and is able to include more state models without "furious" competition caused by "too much" models that may occur in AIMM algorithm,is proposed.Simulation results indicate AVSMM algorithm has better tracking accuracy than AIMM algorithm.
China population prediction with the aid of fast, optimal and accurate WASD neuronet compared with BP neuronet

Population is one of the most significant factors affecting the social and economic development of a country. Currently, China is facing a big challenge of population aging. It is important for Chinese government to pay continuous attention to the population situation and take measures so as to keep the economic growth. Undoubtedly, the effectiveness of these measures depends crucially on the accurate prediction of China population. Many methods, including the feedforward neuronet equipped with back-propagation (BP) algorithm, have been proposed in order to improve the prediction accuracy. However, these methods possibly have their inherent limitations. In this paper, the authors construct an enhanced feedforward neuronet, i.e., a 3-layer feedforward power-activated neuronet (PAN) equipped with the weights-and-structure-determination algorithm (for short, WASD-PAN), to predict China population. Numerical experiments show that China population will continue to increase at a low rate in the next decade. The authors also compare the WASD-PAN with the back-propagation neuronet BP-PAN, with numerical experimental results showing the excellent performance of the former.
Modeling and Control Simulation of a Novel Personal Mobility Electric Vehicle

In this paper, modeling and control simulation of a novel personal mobility electric vehicle, named Smartwheel, are presented. The vehicle is structurally similar to a pedaless unicycle but uses a hub motor as the driving wheel and contains a steering motor which automatically actuates a steering mechanism for steering and maintaining lateral stability. In order to design the lateral control system for the steering motor, Lagrange formulation is firstly used to derive the dynamic equation. The dynamic equation is then linearized around an equilibrium point to acquire a linear model for revealing the crucial dynamic characteristics and facilitating the control design. A statefeedback controller is designed using the linear model. Simulations show that the controller can successfully steer the vehicle and achieve lateral stability under different vehicle speeds.
The efficacy of inferior vena cava diameters and the jugular vein in assessing fluid resuscitation

Objective: Fluid resuscitation is necessary in almost all critical patients. The central venous pressure (CVP) is a well-established method of assessing resuscitation. Recently, there have been attempts to investigate less invasive methods like the diameters of inferior vena cava (IVC) or the jugular vein. We aimed to investigate this method in our research. Methods: Seventy eight critical patients admitted to the emergency department from April 2018 to December 2018 were studied. The CVP was measured along with the diameters of the two mentioned veins before and during resuscitation. The urinary output was also recorded after administering the fluid. The minimum p-value that would illustrate a significant association was equal to 0.05. Results: Findings showed that 53.8% of patients were males and 46.2% were females with an average age of 71.48 years. The causes of the critical state were 25.6% hemorrhagic shocks, 30.8% septic shocks and 43.6% hypovolemic shocks. The mean diameter of the jugular vein before and during resuscitation was 27.21 mm and 25.38 mm, respectively (P=0.1). The mean of IVC diameter before and during resuscitation was 63.33 mm and 57.98 mm, respectively (P <0.001). The CVP was 4.23 mmHg before resuscitation and 5.61 mmHg after resuscitation (P <0.001). With an average urine output of 201.28 cc, a significant correlation was observed with the increase in the CVP, while no such correlations were observed with the decreasing state of the diameters of the IVC or the jugular vein. Conclusion: Both the IVC diameter and the jugular vein diameter are unable to assess fluid resuscitation independently from respiratory factors.
Structural model constructing for optical handwritten character recognition

The article is devoted to the development of the algorithms for optical handwritten character recognition based on the structural models constructing. The main advantage of these algorithms is the low requirement regarding the number of reference images. The one-pass approach to a thinning of the binary character representation has been proposed. This approach is based on the joint use of Zhang-Suen and Wu-Tsai algorithms. The effectiveness of the proposed approach is confirmed by the results of the experiments. The article includes the detailed description of the structural model constructing algorithm’s steps. The proposed algorithm has been implemented in character processing application and has been approved on MNIST handwriting characters database. Algorithms that could be used in case of limited reference images number were used for the comparison.
Performances analytiques et impact thérapeutique de la PCR multiplex Unyvero® ITI dans les infections ostéo-articulaires sur matériel

Les methodes actuelles de diagnostic des infections osteo-articulaires (IOA) sur materiel, basees sur la culture bacterienne, presentent parfois des defauts de sensibilite et le delai d'obtention du resultat est souvent long. Les methodes de biologie moleculaire constituent une alternative diagnostique rapide. Le but de cette etude a ete d'evaluer les performances analytiques du kit de PCR multiplex Unyvero ITI G2, et de mesurer son impact sur la prise en charge des patients. Une etude prospective non-interventionnelle monocentrique a permis d'inclure 21 patients suspects d'infection sur materiel. La PCR Unyvero® etait realisee en parallele de la culture sur les liquides articulaires. Un groupe d'experts se reunissait a posteriori, pour evaluer la contribution potentielle de la PCR dans la prise en charge des patients. Parmi les 22 echantillons analyses, 9 etaient steriles en culture et 13 etaient positifs. La concordance entre les resultats de la PCR et ceux de la culture etait de 67%. La sensibilite etait de 62% et la specificite de 80%. Parmi les 18 resultats valides presentes au groupe d'experts, 6 auraient permis un gain de temps dans l'adaptation therapeutique (allant de 2 a 22 jours), 6 auraient conduit a une adaptation therapeutique erronee (arret ou modification a tort de l'antibiotherapie ou de la prise en charge chirurgicale) et 6 n'auraient pas modifie la prise en charge. Le temps moyen de rendu de la PCR etait de 23 heures contre 20 jours en moyenne pour la culture. La rapidite de rendu des resultats constitue le reel atout de cette methode diagnostique. L'evaluation de son impact medico-economique dans la prise en charge des IOA est en cours d'etude.
Einfluss von Glukosemesssystemen und Probenart auf Diabetes Mellitus Diagnoseraten

The use of glucose point-of-care testing (POCT) devices for the diagnosis of diabetes mellitus (DM) is an ongoing controversy. In patient management, glucose concentrations are determined by POCT and core laboratory glucose methods, and the values are commonly compared even though the samples collected are different, namely, capillary whole blood and venous plasma. In individual patients it is difficult to distinguish between factors that can influence the results, such as sample type and measuring procedure. In this study, Glucose concentrations obtained using POCT and core laboratory instruments were assessed to duplicate typical scenarios experienced in healthcare. Corresponding diagnosis rates of impaired glucose tolerance (IGT) and DM based on fixed, method-independent cutoffs were compared.
Predictors of mortality in patients with acute exacerbation of chronic obstructive pulmonary disease requiring ICU admission

Background Acute exacerbations are associated with significant morbidity and mortality in patients with chronic obstructive pulmonary disease (COPD). Identification of mortality predictors in severe COPD exacerbations may be of use in clinical decision making and prognostication. Objective The aim was to determine the in-hospital mortality rate, predictors of 30-day mortality, and duration of mechanical ventilation in patients admitted to the ICU with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Materials and methods This was an observational study conducted in a tertiary care hospital. Patients with acute exacerbation of COPD needing ICU admission were included. A standardized questionnaire was prepared to collect information about included patients. Outcomes of interest were total duration of hospital stay, ICU stay or death. SPSS version 11 was used for the statistical analysis. Results A total of 63 patients were enrolled in the study, out of which 22 (34.9%) died. Sepsis with multiorgan failure was commonest cause of the death. The risk factors associated with increased mortality in univariate analysis were pH less than 7.25, lymphocyte counts of less than 10%, platelet counts less than 1.5 lac, blood urea greater than 40 mg/dl, and need of mechanical ventilation. Multivariate analysis was conducted for those with statistically significant P value in univariate analysis. It showed thrombocytopenia, hypotension, hypercapnea, and uremia were independent predictors of increased mortality. Conclusion The present study revealed a mortality rate of 34.9% in patients with AECOPD needing ICU admission. Thrombocytopenia, hypotension, hypercapnea, and uremia were independent predictors of increased mortality. The results may be useful in the prognostication of patients with AECOPD needing ICU admission.
Assessment of the Prevalence of Anemia and Its Associated Risk Factors among Pregnant Women in Chiro Referral Hospital, West Hararghe Zone: Ethiopia

Background: Anemia is a significant public health problem in developing countries, particularly in pregnant women. It refers to a condition in which the hemoglobin content of the blood is lower than normal. In developing countries, the cause of anemia during pregnancy is multi-factorial and includes nutritional deficiencies. It is associated with an increased risk of maternal and prenatal morbidity and mortality. In order to design an intervention for prevention of anemia in pregnancy, determination of its magnitude and identifying associated risk factors for anemia are paramount importance. Objectives: To determine the magnitude and factors associated with anemia during pregnancy among mothers attending antenatal care at Chiro Referral Hospital antenatal care clinic from September 2017 to January 2019. Methods: Cross sectional study design was used . The study participants were selected using systematic sampling technique from their sequence of antenatal care visit in the period of study, and associated risk factors data were collected using structured questionnaire by trained antenatal care service providers. Level of haemoglobin was determined. Descriptive and analytical statistics were computed using SPSS version 20. Chi-square-the analytical statistics was used to identify predictor variables associated with the dependent variable -anemia. Result: The overall prevalence of anemia in this study population was 57.1%. Two hundred twenty two cases (57.2%) showed mild type of anemia followed by moderate anemia 156 (40.2%) and the remaining 10 (2.6%) were having severe anemia. Iron supplementation [p-value <2.2e-16], trimester[ pvalue 0.002], abortion p-value 0.053], birth interval[ p-value0.008], history of any illness [p-value 9.991e09], contraception[ p-value 3.654e-07], presence of pica [p-value <2.2e-16], food aversion [p-value <2.2e-16], residence[ p-value 0.04], fruit vegetable consumption[ p-value 4.518e-13] and meat/poultry consumption [p-value 3.068e-08] had statistically significant association with anemia in pregnant women. Parity and bleeding during index pregnancy were not significantly associated with anemia. Conclusion: The prevalence of anemia was found to be 57.1%. Iron supplementation during pregnancy and presence of pica were significantly associated with anemia in the study population. Therefore, long term and short term strategies helpful in alleviating these predisposing factors need to be developed so as to reduce the number of mothers affected by anemia.
Effect of Glutamine Supplementation and Leech Therapy on Blood Lactate Level and Pain Index in a Single Bout Exhaustive Exercise in Young Athletes

Background: Glutamine supplementation for recovery is common in sports. Leech therapy has also been used as complementary medicine in traditional Iranian medicine. Objectives: The purpose of this study was to investigate the eﬀect of glutamine intake and leech therapy on blood lactate level and pain index in a single bout exhaustive exercise in athletes. Methods: Thirty-two male athletes (22.2 ± 2.06 years) were selected and randomly divided into four groups (n = 8) of control, glutamine (0.6 g/kg body weight), leech therapy (2 leeches), and combined leech therapy + glutamine. The subjects participated in an exhaustive test. The levels of lactate and muscle pain perception were measured before, immediately after, and a half and an hour after the test. The signiﬁcance level was considered P ≤ 0.05. Results: In all groups, lactate increased immediately after the activity, the highest increase was observed in the control, leech therapy, glutamine, and glutamine + leech therapy groups, respectively. Also, the most reduction in lactate level was observed in 1 hour and a half hour after the activity, which was related to the glutamine + leech therapy group. The highest reduction in the pain was observed at 1 hour and a half hour after the activity, which was related to the glutamine + leech group. Conclusions: Theresultsshowedthatglutaminesupplementationpriortoasingleboutexhaustiveexercisefollowedbyleechther-apy led to a decrease in the lactate level and pain index during the recovery period compared to the other three groups, suggesting that this method may be eﬀective. However, more research is needed to prove the beneﬁts of this method to reduce the lactate and pain subsequent exhaustive exercise.
HISTOGRAM OF TRANSITION FOR HUMAN HEAD RECOGNITION

The main component for head recognition is a feature extraction. One of them as our novel method is histogram of transition. This feature is relied on foreground extraction. In this paper we evaluate some pre-processing to get foreground extraction before we calculate the histogram of transition. We evaluate the performance of recognition rate in related with preprocessing of input image, such as color, size and orientation. We evaluate for Red-Green-Blue (RGB) and Hue-saturation-Value (HSV) color image; multi scale of 10×15 pixels, 20×30 pixels and 40×60 pixels; and multi orientation angle of 315 o , 330 o , 345 o , 15 o , 30 o , and 45 o . For comparison, we compare the recognition rate with the existing method of feature extraction, i.e. Histogram of Oriented Gradients (HOG) and Linear Binary Pattern (LBP). The experimental results show Histogram of Transition robust for changing of color, size and orientation angle.
Drug-adapted cancer cell lines as preclinical models of acquired resistance

Acquired resistance formation limits the efficacy of anti-cancer therapies. Acquired and intrinsic resistance differ conceptually. Acquired resistance is the consequence of directed evolution, whereas intrinsic resistance depends on the (stochastic) presence of pre-existing resistance mechanisms. Preclinical model systems are needed to study acquired drug resistance because they enable: (1) in depth functional studies; (2) the investigation of non-standard treatments for a certain disease condition (which is necessary to identify small groups of responders); and (3) the comparison of multiple therapies in the same system. Hence, they complement data derived from clinical trials and clinical specimens, including liquid biopsies. Many groups have successfully used drug-adapted cancer cell lines to identify and elucidate clinically relevant resistance mechanisms to targeted and cytotoxic anti-cancer drugs. Hence, we argue that drug-adapted cancer cell lines represent a preclinical model system in their own right that is complementary to other preclinical model systems and clinical data.
A Network Security Analysis Method Research and Application Based on Graph Theory

at present it is becoming more important to analyze network security state quantitatively and alarm in advance, the paper analyzes a lot of vulnerabilities' characteristics and proposes a analytic hierarchy process model and a series of indexes, it applies a graph theory method to analyze the association problem among vulnerabilities and construct intrusion relation graph model, the paper also proposes several computing methods of network security state, at the end of the paper analyzes the implementation prototype of the whole network security analysis and evaluation system.
Comparison of clinical value of dynamic contrast-enhanced MRI and SPECT renal dynamic imaging of GFR measurement in the evaluation of renal function in renal transplantation

Objective: To compare the clinical value of dynamic contrast-enhanced MRI (DCE-MRI) and single-photon emission computed tomography (SPECT) renal dynamic imaging in the measurement of glomerular filtration rate (GFR) in the evaluation of renal function in renal transplantation.Methods: A total of 70 recipients who underwent renal transplantation in Baogang Hospital of Inner Mongolia from April of 2015 to April of 2018 were selected as research objects. GFR was measured in renal transplant recipients by use of DCE-MRI and SPECT (GFR-MRI and GFR-SPECT respectively), and was compared with creatinine clearance rate (Ccr). The safety of contrast media was evaluated in DCE-MRI detection.Results: The bias of GFR-MRI against Ccr value was higher than that of GFR-SPECT against Ccr value, with 30% and 50% accuracy of GFR-MRI higher than that of GFR-SPECT, and the difference was statistically significant (p < .05). Pearson correlation analysis showed that GFR-MRI and GFR-SPECT values were positively correlated to Ccr (p < .05), and the correlation coefficient of GFR-MRI and Ccr was higher than that of GFR-SPECT and Ccr, with the difference statistically significant (p < .05). By Bland-Altman analysis, 95% confidence interval of GFR-SPECT was 95.49 ml/(min·1.73 m2), and 95% confidence interval of GFR-MRI was 62.35 ml/(min·1.73m2), which was much narrower. Only 2 cases of patients developed mild rash among 70 cases of patients, and recovered spontaneously without any treatment.Conclusions: Compared with SPECT, the bias of GFR measured by DCE-MRI against Ccr is much greater. However, DCE-MRI has a higher accuracy, correlation and consistency in comparison with Ccr, and it has a narrower confidence interval. DCE-MRI can more accurately evaluate renal function in renal transplantation by measuring GFR, and it has a high safety.