Miracle-dz/UniFAR-FTUs huggingface dataset:
Finite Element Analysis of a Wideband Microwave Tomography System for Potential Medical Imaging

In this paper, we present two in-house finite element analysis methods for a wideband microwave tomography system setup. A hybrid vector three-dimensional (3D) formulation and a scalar two-dimensional (2D) formulation of the finite element method (FEM) for the forward model in microwave imaging are proposed. Simulations with dispersive materials of the system setup are performed in CST Microwave Studio and FEM formulations. We then compare the value of the S-parameters between the data from CST and FEM both in 3D and 2D, with the results showing a good agreement at different frequencies. To that end, we introduce a convenient calibration procedure to match the $S$-parameters and electric field values used in reconstruction algorithms.
Mortality , Surgical Therapy and Infected Necrosis in Acute Pancreatitis

ISSN 1812 1659 LANCAP 15, 30 mg. Each capsule contains 15, 30 mg lansoprazole respectively. S4 Reg No.: A40/11.4. 3/0247,0248 NAM NS2 07/11.4. 3/0098,0099. For full prescribing information, refer to the professional information approved by SAHPRA, January 2009. LPG461/07/2018. For further product information contact PHARMA DYNAMICS P O Box 30958 Tokai Cape Town 7966 Tel 021 707 7000 Fax 021 701 5898 Email info@pharmadynamics.co.za CUSTOMER CARE LINE 0860 PHARMA (742 762)/+27 707 7000 www.pharmadynamics.co.za C
A novel real-time trajectory planning algorithm for intelligent vehicles

With the trajectory modeled in two parts: trajectory curve and acceleration profile, the problems of decisionmaking and trajectory planning for intelligent vehicles are formulated as a non-linear programming(NLP) model to optimize the efficiency, safety, comfort and economy of trajectory. To solve this model, a hybrid intelligent optimization algorithm OODE is developed. With a two-layer framework applied, OODE optimizes the acceleration profile and trajectory curve in the inner and outer layers, respectively. By “roughly” evaluating the candidate trajectory curves, the optimal curve is determined very efficiently. The simulation results show that, the proposed method is capable of handling complicated traffic scenarios with multiple dynamic obstacles, and also can meet the demands of real-time applications. Compared with traditional methods, the model accuracy of the proposed method is higher, and the planning speed is obviously faster.
A Hybrid Approach to Tiger Re-Identification

Visual data analytics is increasingly becoming an important part of wildlife monitoring and conservation strategies. In this work, we discuss our solution to the image-based Amur tiger re-identification (Re-ID) challenge hosted by the CVWC Workshop at ICCV 2019. Various factors like poor quality images, lighting and pose variations, and limited images per identity make tiger Re-ID a difficult task for deep learning models. Consequently, we propose to utilize both deep learning and traditional SIFT descriptor-based matching for tiger re-identification. The proposed deep network is based on a DenseNet model, fine-tuned by minimizing a classification cross-entropy loss regularized by a pairwise KL-divergence loss that promotes better semantically discriminative features. We also utilize several data transformations to improve the model's robustness and generalization across views and image quality variations. We establish the efficacy of our approach on the 'Plain Re-ID' challenge task by reporting results on the pre-cropped tiger Re-ID dataset. To further test our Re-ID model's robustness to detection quality, we also report results on the 'Wild Re-ID' task, which incorporates learning a tiger detection model. We show that our model is able to perform well on both the plain and wild Re-ID tasks. Code will be available at https://github.com/FGVC/DelPro.
The End-to-End Speech Synthesis System for the VLSP Campaign 2019

The traditional speech synthesis systems are typically built by multiple components, such as including a text analysis front-end, an acoustic model and an audio synthesis module. Building these components often requires a lot of people possessing extensive domain experts and may contain brittle design choices. In this paper, we describe how we build a Vietnamese speech synthesis system (TTS) based on Deep Learning techniques. We completed the build of two speech synthesis systems, with BigCorpus (Mean Opinion Score of 3.47) and SmallCorpus (Mean Opinion Score of 4.13) in text-tospeech shared-tasks of VLSP 2019. In addition, transfer learning and fine-tuning techniques are also applied to solve noise data problems of training data in BigCorpus and shortage of data in SmallCorpus.
Geomorphodynamics in Argan Woodlands, South Morocco

The endemic argan tree (Argania spinosa) populations in South Morocco are highly degraded due to their use as a biomass resource in dry years and illegal firewood extraction. The intensification and expansion of agricultural land lead to a retreat of the wooded area, while the remaining argan open woodlands are often overgrazed. Thus, canopy-covered areas decrease while areas without vegetation cover between the argan trees increase. In total, 36 rainfall simulation experiments as well as 60 infiltration measurements were conducted to investigate the potential difference between tree-covered areas and bare intertree areas. In addition, 60 soil samples were taken under the trees and in the intertree areas parallel to the contour lines. Significant differences using a t-test were found between tree and intertree areas for the studied parameters Ksat, Kh, pH, electric conductivity, percolation stability, total C-content, total N-content, K-content, Na-content, and Mg-content. Surface runoff and soil losses were not as conclusive but showed similar trends. The results showed that argan trees influence the soil underneath significantly, while the soil in intertree areas is less protected and more degraded. It is therefore reasonable to assume further degradation of the soil when intertree areas extend further due to lack of rejuvenation of argan trees.
Mediation of semantic web services in IRS-III

Business applications composed of heterogeneous distributed components or Web services need mediation to resolve data and process mismatches at runtime. This paper describes mediation in IRS-III, a framework and platform for developing WSMO-based Semantic Web Services. We present our approach to mediation within Semantic Web Services and highlight the role of WSMO mediator types when solving mismatches at the semantic level between a service requester and a service provider. We describe the components of our mediation framework and how it can handle data, goal and process mediation during the activities of selection, composition and invocation of Semantic Web Services.
Effectiveness of "Fun"tastic Nutrition Program SM on Nutrition knowledge and Dietary Behavior of Fourth- and Fifth-Grade Students

There is a lack of evidence for the effectiveness of school programs that develop healthy habits, this is critical given the rising concerns related to childhood obesity. The aim of this study was to assess the effectiveness of a comprehensive nutrition education program in improving nutrition knowledge and behaviors among elementary aged students involving four elementary schools in greater St. Louis metropolitan area, inclusive of East St. Louis, Illinois. Educational lessons providing a comprehensive curriculum of nutrition and health education including interactive lectures, activities, and demonstrations were divided among six topics: My Plate; digestion; heart health; food label reading; skeletal system and calcium; and healthy snacking were evaluated by assessing preand post- surveys to determine changes in knowledge and behavior. Results concluded that a short-term nutrition intervention using a comprehensive nutrition and health education curriculum has the capacity to increase nutrition knowledge in an ethnically diverse population of fourth- and fifth grade students.
Propuesta de traducción sintáctico-semántica: el tratamiento anáforico a través de la LFG y la SDRT

espanolLa Gramatica Lexico-Funcional (LFG) y la Teoria Representacional del Discurso Segmentado (SDRT) han demostrado ser teorias formales considerablemente explicativas para el tratamiento de las lenguas naturales. El objetivo del presente trabajo es proponer una posible traduccion que permita obtener formulas logicas de la SDRT a partir de la estructura sintactica proporcionada por la LFG. EnglishThe Lexical-Functional Grammar (LFG) and the Segmented Discourse Representation Theory (SDRT) have proved to be two considerably explanatory formal theories for the treatment of natural languages. The aim of this paper is to propose a possible translation allowing to get SDRT logical formulas from syntactic structures provided by the LFG.
SERIES "ADVANCES IN PATHOBIOLOGY, DIAGNOSIS, AND TREATMENT OF PULMONARY HYPERTENSION" Edited by A.T. Dinh-Xuan, M. Humbert, R. Naeije Number 10 in this Series Chronic thromboembolic pulmonary hypertension

Chronic thromboembolic pulmonary hypertension. P. Dartevelle, E. Fadel, S. Mussot, A. Chapelier, P. Herve ´, M. de Perrot, J. Cerrina, F.L. Ladurie, D. Lehouerou, M. Humbert, O. Sitbon, G. Simonneau. #ERS Journals Ltd 2004. ABSTRACT: Pulmonary arterial hypertension is a severe disease that has been ignored for a long time. However, over the past 20 yrs chest physicians, cardiologists and thoracic surgeons have shown increasing interest in this disease because of the development of new therapies, that have improved both the outcome and quality of life of patients, including pulmonary transplantation and prostacyclin therapy. Chronic thromboembolic pulmonary arterial hypertension (CTEPH) can be cured surgically through a complex surgical procedure: the pulmonary thromboendarter- ectomy. Pulmonary thromboendarterectomy is performed under hypothermia and total circulatory arrest. Due to clinically evident acute-pulmonary embolism episodes being absent in w50% of patients, the diagnosis of CTEPH can be difficult. Lung scintiscan showing segmental mismatched perfusion defects is the best diagnostic tool to detect CTEPH. Pulmonary angiography confirms the diagnosis and determines the feasability of endarterectomy according to the location of the disease, proximal versus distal. The technique of angiography must be perfect with the whole arterial tree captured on the same picture for each lung. The lesions must start at the level of the pulmonary artery trunk, or at the level of the lobar arteries, in order to find a plan for the endarterectomy. When the haemodynamic gravity corresponds to the degree of obliteration, pulmonary thromboendarterectomy can be performed with minimal perioperative mortality, providing definitive, excellent functional results in almost all cases. Eur Respir J 2004; 23: 637-648.
The additional cost of obesity to the health service and the potential for resource savings from effective interventions

Background: Obesity affects 15% of men and 16.5% of women in the UK (1995). UK prevalence of obesity has doubled in 10 years and continues to rise: it is projected to reach 18 and 24% respectively by 2000. Obesity is a complex condition influenced by both genetic and environmental factors and is associated with reduced longevity and increased risk of serious co-morbidities including diabetes, coronary heart disease, stroke and hypertension. Methods: Data from a large population survey in north-west England allowed estimation of the additional direct costs to the NHS of major co-morbidities associated with obesity. The change in costs expected from a lower prevalence of obesity were projected. Results: Initial estimates suggest annual reductions in health care spending in England of up to £131 million per annum (1996 prices) may be possible with effective Interventions for being overweight and obesity. This is equivalent to 11% (males) or 13% (females) of spending on the main co-morbidities and approximately 1% of overall expenditure. Conclusions: The number of grossly obese patients in the UK remains very small and the burden they place on the health service is not very serious. Most of the additional cost is for those moderately overweight (WHO grade 1) and research should concentrate on evaluating interventions that reduce the numbers in this group. Obesity often develops at an early age, but the more expensive co-morbidities appear 10–20 years later. Thus, interventions targeted at younger age groups are more likely to provide significant cost savings, but must be evaluated over a lifetime to include the full impact of chronic co-morbidities.
EVALUATION OF CONFINEMENT CONDITIONS AND CONTENT OF LIGNOCELLULOSIC COMPOUNDS ON URBAN SOLID WASTE BIODEGRADATION RATES

The organic fraction (OF) is the main component of urban solid wastes (USW) generated in Mexico and other developing countries. The increasing generation of USW in combination with the long periods required for OF stabilization at confinement sites has exceeded the management capacity of environmental authorities. OF biodegradation has commonly been estimated using theoretical approaches and by characterizing fresh USW, while confinement scenarios have been ignored. This study evaluated the effects of composition, biodegradability and confined conditions on biodegradation of USW in a characteristic dumpsite. Biodegradability was evaluated by the characterization of lignocellulosic compounds, biodegradation by volatile solids (VS) and the confinement conditions by temperature, pH and humidity measurements. On average, the OF represented 56.1 % of the confined USW, and was primarily derived from vegetable wastes (~78 %). The results indicate heterogeneity in the confined USW composition and different degradation stages. Measurement of temperature, pH, moisture and VS suggests that confinement conditions do not promote the establishment of a microbial consortia that degrades the OF. Lignin (LI) and cellulose + hemicellulose (CE + HE) contents suggest low biodegradability of the USW, which was confirmed by inverse correlations between lignocellulosic content and VS. The common use of soil as cover material in dumpsites allows considerable variations in crucial physical and chemical parameters that, when combined with the high percentages of lignocellulosic compounds in the USW, lead to low biodegradation rates.
FIXED POINT THEOREMS AND THE EXISTENCE OF A GENERAL EQUILIBRIUM

An economy with finitely many commodity markets reaches a general equilibrium only when, at a given set of prices, the aggregate supply equals the aggregate demand within all of these individual markets. In this expository paper, we will take an algebraic topological approach in understanding and proving a useful tool in Brouwer’s Fixed Point Theorem. We then generalize this result into Kakutani’s Fixed Point Theorem, which we will ultimately use to prove the existence of a general equilibrium in an economy.
Structural Equation Modeling: Theory

Part I. Theory: 1. Structural equation modelling: an introduction Scott L. Hershberger, George A. Marcoulides and Makeba M. Parramore 2. Concepts of structural equation modelling in biological research Bruce H. Pugesek 3. Modelling a complex conceptual theory of population change in the Shiras moose: history and recasting as a structural equation model Bruce H. Pugesek 4. A short history of structural equation models Adrian Tomer 5. Guidelines for the implementation and publication of structural equation models Adrian Tomer and Bruce H. Pugesek Part II. Applications: 6. Modelling intra-individual variability and change in bio-behavioural developmental processes Patricia H. Hawley and Todd D. Little 7. Examining the relationship between environmental variables and ordination axes using latent variables and structural equation modelling James B. Grace 8. From biological hypotheses to structural equation models: the imperfection of causal translation Bill Shipley 9. Analysing dynamic systems: a comparison of structural equation modelling and system dynamics modelling Peter S. Hovmand 10. Estimating analysis of variance models as structural equation models Michael J. Rovine and Peter C. M. Molenaar 11. Comparing groups using structural equations James B. Grace 12. Modelling means in latent variable models of natural selection Bruce H. Pugesek 13. Modeling manifest variables in longitudinal designs - a two-stage approach Bret E. Fuller, Alexander von Eye Philip K. Wood and Bobby D. Keeland Part III. Computing: 14. A comparison of the SEM software packages Amos, EQS and LISREL Alexander von Eye and Bret E. Fuller Index.
Inhibition of Quorum Sensing in Pseudomonas aeruginosa: A Review

The term quorum sensing in bacteria is used to describe the communication among them through signalling molecules, known as autoinducers or pheromones. This type of communication usually triggers at a time when the bacteria reach their threshold population. This in turn leads to expression of various genes, resulting in co-operative behaviour in bacteria. Biofilm formation, virulence expression are the examples of such kind of quorum sensing. In Gram-negative bacteria such as Pseudomonas aeruginosa, quorum sensing is achieved through acyl homoserine lactone class of signalling molecules, two such molecules are 3-oxo-dodecanoylhomoserine lactone and butylhomoserine lactone. The productions of these molecules are controlled by LasI and RhlI genes through the acylhomoserine lactone synthetases. At high concentration, those signal molecules bind to cytoplasmic transcription factors LasR and RhlR and activate target genes leading to expression of virulence factors namely elastase, protease, rhamnolipids, pyocyanin, siderophores. In Pseudomonas aeruginosa, the Las and Rhl systems function in tandem with the Las system at the top and these two systems are interconnected by Pseudomonas quinoline signal. Quorum sensing in bacteria can be inhibited by targeting either signal generator, the signal molecule or the signal receptor. Quorum sensing inhibitors can be obtained from natural sources including traditional medicines or can be synthesized in the laboratory.
Metropolis-Hastings Random Walk with a Reduced Number of Self-Loops

The random walk (RW) is one of the effective sampling methods for large-scale networks such as the Internet and social networks. While a simple RW method tends to visit nodes with high degrees, the Metropolis-Hastings random walk (MHRW) algorithm has ready-to-use characteristics, wherein the nodes visited by the algorithm distribute uniformly. However, because the MHRW algorithm conducts many self-looping operations and the spread of its crawler is slow, it requires many samples in order to secure sufficient accuracy. This study proposes a RW that requires less self-looping than MHRW did while maintaining the ready-to-use characteristics. The ready-to-use characteristics are achieved by appropriately changing the adaption probability of MHRW and choice probability of neighboring nodes. Our experiments demonstrated that the proposed RW required less self-loop operations than MHRW did. Moreover, the cost of the proposed algorithm is discussed keeping applications to real networks in mind.
Relationship between Academic Motivation and Self-directed Learning in Nursing Students

Introduction: Rapid development of knowledge and information in various fields of medical sciences indicates the need to encourage self-directed learning in nursing students to provide quality and updated care. This study examined the relationship between self-directed learning and academic motivation in nursing students. Materials and Methods: Through a descriptive-correlational study, 305 nursing students studying at the Shahid Beheshti School of Nursing and Midwifery, Rasht were recruited by the census in Spring 2015. These students were asked to complete the Self-Rating Scale of Self-directed Learning (SRSSDL) and Academic Motivation Scale (AMS). Instrument reliability of these scales was confirmed in previous studies. Data were analysed by descriptive (mean and standard deviation) and analytic tests (Pearson coefficient of correlation and Chi-square). Results: There is a positive and significant relationship between self-directed learning and academic motivation (r=0.164; p=0.004). Among components of self-directed learning, the highest coefficient of correlation was related to interpersonal skills (r=0.125, p=0.025) and the lowest was related to evaluation (r=0.111, p=0.053). Conclusion: Findings showed a significant relationship between academic motivation and self-directed learning. Planners and decision-makers need to plan for increasing academic motivation of students, facilitating and developing self-directed learning to provide optimal care for patients.
Analysis of oxygen isotopes of inorganic phosphate

The ability to identify the origin of phosphorus is essential to effectively mitigate 14 eutrophication of freshwater ecosystems. The oxygen isotope composition of orthophosphate (δ18Op) 15 has been suggested to have a significant prospective as a tracer for P entering freshwater ecosystems. 16 The δ18Op tracing method is, however, still in its preliminary stages and has proven challenging to 17 implement for new practitioners. In order to achieve progress in developing the application of δ18Op 18 signatures as a tracing tool, there is a need to eliminate the methodological challenges involved in 19 accurately determining δ18Op. This technical note describes the various steps needed to concentrate 20 and isolate orthophosphate in freshwater samples into an adequately pure analyte (Ag3PO4), without 21 isotopic alteration during processing. The protocol compiles the disperse experiences from previous 22 studies, combined with our own experience. 23 24 25 https://doi.org/10.5194/hess-2019-469 Preprint. Discussion started: 25 October 2019 c © Author(s) 2019. CC BY 4.0 License.
Impact du triage préhospitalier des patients au sein d’un réseau régional de soins en traumatologie

L’implementation de reseaux de soins en traumatologie est incontournable pour l’amelioration de la prise en charge des traumatises. Depuis 2007, un reseau de soins en traumatologie a ete mis en place dans l’arc alpin, le TRENAU. Il fonctionne selon une procedure de triage prehospitaliere comprenant 3 grades de severite auxquels correspond une orientation specifique selon le niveau de soins des centres hospitaliers. L’objectif de cette etude a ete d’evaluer l’impact du triage prehospitalier a travers l’analyse du sous et du sur triage. Il s’agit d’une etude de cohorte retrospective de tous les patients inclus dans la base de donnees entre 2009 et 2011. Deux groupes de patients ont ete identifies : les grades (n=2572) ayant beneficie de la procedure de triage et les non grades (n=856). Le sous-triage a ete retenu quand des patients severes (Injury Severity Score (ISS)>15) ont ete admis dans un centre de niveau III ou retransfere dans un centre de niveau I ou II, et le sur-triage quand des patients peu graves (ISS≤15) ont ete admis dans un centre de niveau I ou II. Une analyse de la mortalite globale a ete effectuee (methode du case mix variation). L’application du protocole a diminue de maniere significative les taux de sous-triage (30% chez les non grades contre 10% chez les grades, p<0,01). Les taux de sur-triage ont ete plus eleves chez les grades par rapport aux non grades (77% contre 59% (p<0,01)). La mortalite predite a ete superieure a la mortalite observee (2,3% de survivants supplementaires selon le score W, IC95%[1,9-2,7];p<0,01). Cette etude a demontre que l’implementation d’un algorithme de triage au sein de notre reseau a permis de diminuer le sous triage.