Miracle-dz/UniFAR-FTUs huggingface dataset:
Update zur Tuberkulose im Kindesalter

Die Tuberkulose ist eine der am langsten bekannten Infektionskrankheiten. Nichtsdestotrotz stellen Diagnostik und adaquate Therapie im Kindesalter immer noch eine Herausforderung dar. Aufgrund der speziellen immunologischen Situation sind Kinder, insbesondere Kleinkinder, in hoherem Mase als Erwachsene gefahrdet an Tuberkulose zu erkranken. Neue Diagnostikmethoden wie die Interferon Gamma Release Assays sind zwar spezifischer als der Tuberkulin-Hauttest, im Sauglingsalter und bei disseminierter Erkrankung sind jedoch beide Tests nicht immer ausreichend sensitiv. Eine resistogrammgerechte Therapie wird durch seltenen Erregernachweis bei meist paucibacillarer Erkrankung erschwert. Ein zunehmender Anteil resistenter Erreger bereitet zusatzliche Probleme. Aufgrund der im Vergleich zu Erwachsenen variablen Metabolisierung verschiedener Antituberkulotika in verschiedenen Altergruppen sind diese in der Therapie der Tuberkulose im Kindesalter haufig nicht ausreichend effizient. Auserdem konnen unerwunschte Nebenwirkungen die Therapie komplizieren. Neue Impfstoffe sind in der Erprobung, jedoch momentan noch nicht verfugbar.
Auxiliary Error Correction Method for High Precision IMU

According to the needs of error correction about the low precision IMU strapdown calculation parameters, error correction method is researched under the high precision IMU, an error correction scheme is proposed, established the state space equation and the corresponding measurement equation, The simulation experiment is carried out in the state of motion carrier, The results show that the method is convergent to parameters of the estimation results, the attitude error, the accelerometer constant zero bias and the gyro zero bias is estimated effectively, the estimation accuracy of the attitude error can be achieved within one arc min. The method has high autonomy and strong anti-interference ability for the error correction of the low precision IMU, which is can be used in the case of the weapon system with multi precision inertial group.
Graph colorings, flows and perfect matchings

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Graph colorings, flows and perfect matchings Louis Esperet
Mathematical Modeling, Motion Planning and Control of Elastic Structures with Piezoelectric Elements

The objective of this work is the development of a motion planning and tracking control approach for elastic structures. Motivated by the morphing wing concept of the field of aerospace engineering a so-called “smart wingsail” defines the center of the presented research. The motion planning and tracking control approach has to achieve different rest-to-rest motions of the wingsail’s transversal displacement. The design of the mechanical structure as well as the control concept of the wingsail relies on the results of proof of concept studies. For this purpose, different systems of interconnected bending beams are considered which emulates parts of the wingsail. The development of the model based control approaches requires an accurate system description. The modeling itself is done by an analytic energy based approach for the beams’ systems, where for the wingsail the finite elements method is used due to the risen complexity of the curved structure. To achieve a precise description of the governing dynamics different parameter identification concepts are discussed and applied. This leads to a precise but rather complex system description which covers the measured behavior of the experimental setups. Considering the objective of a real time capable control approach the complexity has to be reduced without a significant loss of accuracy. For this purpose different model order reduction techniques are discussed and applied. The resulting systems models are the bases of the control designs. Two different control concepts are presented and evaluated. At first the two-degrees-of-freedom control approach is introduced which combines a flatness-based feedforward control approach with a feedback controller. On the other hand, the so-called model predictive control approach is presented which is based on the solution of an optimization problem. Both concepts are evaluated by numeric analyses and by experiments.
Convolutional Neural Network for Kidney and kidney Tumor segmentation

In this work, we have attempted to develop algorithms for automatic segmentation of kidney and kidney tumous from CT images. We have exploited encoder decoder architecture of fully convolutional neural network.Pre-processesing steps involves slice extraction, data standardization and Hounsﬁeld unit windowing. The proposed network has been trained on CT images of kidney and kidney tumors with their ground truth. Weighted combination of focal loss and dice loss has been minimized using Adam as optimizer. Dice coeﬃcient of 94.68% and 94.51% has been achieved for kidney and kidney tumor segmentation respectively.
What “seams” have been bridged in seamless vocabulary learning?- A review of the literature

ABSTRACT Despite seamless vocabulary learning studies having been implemented for about 10 years, little is known about what seamless vocabulary learning studies are, how they were conducted, what the learning outcomes were, or the issues and trends of seamless vocabulary learning. This literature review aimed at addressing these questions. Adopting Webster and Watson’s (2002. Analyzing the past to prepare for the future: Writing a literature review. MIS Quarterly, xiii–xxiii) method of keyword searching and examination of refereed journals, 26 eligible articles were selected and analyzed under the framework of analyzing seamless vocabulary learning studies. The research findings show that the majority of reviewed studies focused more on the seamless features of “ubiquity and continuity” of artifact creation, situated and personalized learning, less on instructional designs on the features of “knowledge synthesis, activities that that apply multiple language skills in different combinations, and co-construction of linguistic knowledge” premised on vocabulary learning theories. In addition, more studies focused on vocabulary learning performance and perceptions of learners’ learning experience in a short term in primary or higher education for prescribed learning tasks. Future research is encouraged to focus on innovative seamless vocabulary instructional designs premised on sound theoretical underpinnings to improve underexplored seamless features from varied perspectives in a longitudinal study, especially at a secondary level.
Virtual synchronous machine control for wind turbines: a review

Virtual synchronous machine (VSM) control has been put up and developing for the past ten years, but not much work has been done specially focusing on its application on wind turbines (WTs). This paper gives a thorough review of the work that has been done until now about application of VSM control on WTs. Aspects on control schemes, energy storage (ES), frequency and voltage control capabilities, different grid conditions etc. are summarized separately. Further research work in this field is emphasized.
Apple Pulp Inhibition Properties Concerning Staphylococcus Aureus ATTC 25923 Populations

The purpose of this study was to evaluate S. aureus inhibition by phytoncides present in apple pulp. The apple fruit used in the tests were of the cultivars: Grey Rennet and Cox's Orange Pippin. The behaviour of the staphylococcus population in its interaction with apple pulp was tested after 30 and 120 minutes of storage at 37C. S. aureus growth was determined on an RPF Baird-Parker substrate. The tests demonstrated biocidal properties of Grey Rennet pulp against S. aureus. The other apple cultivar displayed weak biostatic properties, reducing the staphylococcus population by only 22.6% after two hours of incubation.
Optimal Uplink Pilot-Data Power Allocation for Large-Scale Antenna Array-Aided OFDM Systems

The effective aggregate rate (AR) performance of large-scale multiple-input multiple-output aided orthogonal frequency division multiplexing systems based on time division duplexing protocol critically depends on uplink (UL) pilot-data power allocations for all users. We derive an asymptotic closed-form expression of the system's achievable AR for typical channel estimation schemes, which is a function of individual users’ UL power allocation factors. We prove that the effective AR is a convex function of each UL power allocation factor, when all the other factors are given. The globally optimal UL pilot-data power allocation that maximizes the system's effective AR can easily be obtained using an iterative procedure, by solving an univariate convex optimization with the golden section method for individual UL power allocation factors one by one in each iteration. Owing to the piecewise convexity of the effective AR, this iterative algorithm guarantees to find the unique globally optimal solution with only one iteration. The simulation results confirm that the achievable effective AR is significantly enhanced through the proposed optimization of UL pilot-data power allocation.
Hearts With Cardiac Arrest History Safe For Transplant In The Context Of Donor And Recipient Factors

Background: Cardiac arrest, or downtime, can result in ischemic damage to myocardial tissue, which prompts caution in accepting hearts with such a history for transplant. Our aim is to provide guidance about whether these hearts are suitable and which among them confer optimal outcome. Methods: We analyzed all first-time adult cardiac transplantations in the United States between 1988 and 2010 as reported in the United Network of Organ Sharing (UNOS) database. Stratification was between donors with downtime history prior to brain death versus those without such a history for univariate and multivariate analyses. Results: Of 17,941 donors that met inclusion criteria, 700 experienced downtime. Recipients of these hearts were sicker pre-transplant: at waitlist status 1A, hospitalized, supported by ECMO, on IV inotropes, and supported by LVAD (p<0.05). They were more likely to be black, to be cigarette users, and to have had prior cardiac surgery (p<0.05). In univariate and multivariate analysis, downtime history was not associated with differences in 30-day, 1-year, or 10-year graft survival. Independent risk factors for outcome were donor age, donor BMI, donor cigarette use, recipient ECMO use, recipient use of RVAD, TAH, or bi-VAD, and black recipient ethnicity (p<0.05). Subset analysis of recipients of downtime hearts showed that donor cigarette use and black or Hispanic recipient ethnicity were associated with worse outcomes within this group (p<0.05). Conclusions: Donor downtime does not influence survival or mortality overall; however, donor smoking history and non-white recipient ethnicity confer a worse outcome within the cohort.
Information Retrieval Framework for Digital Resource Objects

Basically, digital resource objects (DRO) suffer from two fundamental issues, namely lack of quality of metadata content and difficulty in accessing metadata content. These lead to decrease in the performance of the DRO retrieval. With a view to increase the performance of the DRO retrieval, many components of information retrieval have been enhanced such as document expansion (DE), retrieval model such as Dirichlet smoothing (DS) model, and query expansion (QE). Most of these studies have shown that employing IR components (DE, QE or DS) independently to enhance the DROs retrieval has helped to increase the performance of the retrieval. It is assumed that IR components can enhance the performance of the DRO retrieval. Based on this assumption, an information retrieval framework (IRF) for DROs is presented in this paper. The proposed IRF is to address the retrieval problems in DROs and provide an environment for retrieving information from DROs with the highest possible performance. The principle task of IRF is to make all components of IR (DE, DS, and QE) work together to achieve the greatest benefit in improving the retrieval performance. Several experiments were conducted on CHiC2013 which is a collection on cultural heritage. The results show a considerable enhancement over other IR approaches that use the DE method, DS model and QE method independently.
Why metrical approaches to tonal accent are worth pursuing

Unlike existing analyses with lexical tone, metrical foot-based approaches to tonal accent in Franconian not only focus on an explicit analysis of the tonal contours, but are also equipped to account formally for morphological alternations and other predictable correlates. Examples are interactions of tonal accent with duration, vowel and consonant quality. The existence of such additional correlates is in line with a foot-based analysis, since it mirrors correlates of stress and foot structure found in Germanic languages and elsewhere.
Conceptual blending techniques for data visualisation

257 Computational creativity is an active area of research within the artificial intelligence domain that investig258 ates what aspects of computing can be considered as an analogue to the human creative process. Com259 puters can be programmed to emulate the type of things that the human mind can. Artificial creativity is 260 worthy of study for two reasons. Firstly, it can help in understanding human creativity and secondly it can 261 help with the design of computer programs that appear to be creative. Although the implementation of 262 creativity in computer algorithms is an active field, much of the research fails to specify which of the known 263 theories of creativity it is aligning with. 264 The combination of computational creativity with computer generated visualisations has the potential to 265 produce visualisations that are context sensitive with respect to the data and could solve some of the 266 current automation problems that computers experience. In addition theories of creativity could theoretically 267 compute unusual data combinations, or introducing graphical elements that draw attention to the patterns 268 in the data. More could be learned about the creativity involved as humans go about the task of generating 269 a visualisation. 270 The purpose of this dissertation was to develop a computer program that can automate the generation of a 271 visualisation, for a suitably chosen visualisation type over a small domain of knowledge, using a subset of 272 the computational creativity criteria, in order to try and explore the effects of the introduction of conceptual 273 blending techniques. The problem is that existing computer programs that generate visualisations are 274 lacking the creativity, intuition, background information, and visual perception that enable a human to decide 275 what aspects of the visualisation will expose patterns that are useful to the consumer of the visualisation. 276 The main research question that guided this dissertation was, “How can criteria derived from theories of 277 creativity be used in the generation of visualisations? ”. In order to answer this question an analysis was 278 done to determine which creativity theories and artificial intelligence techniques could potentially be used 279 to implement the theories in the context of those relevant to computer generated visualisations. Measurable 280 attributes and criteria that were sufficient for an algorithm that claims to model creativity were explored. The 281 parts of the visualisation pipeline were identified and the aspects of visualisation generation that humans 282 are better at than computers was explored. Themes that emerged in both the computational creativity and 283 the visualisation literature were highlighted. 284 Finally a prototype was built that started to investigate the use of computational creativity methods in the 285 ‘variable choice’, and ‘aesthetics’ stages of the data visualisation pipeline. 286
D-JRA2.2 Smart Grid ICT Assessment Method

Work Package JRA2 has developed advanced simulation-based methods to check and validateSmart Grid scenarios, configurations and applications. The required models cover the various partsof Smart Grids, such as power system infrastructures, control algorithms, communication systems,market aspects or/and external factors like weather and people. The challenge is that the individualmodels of these parts are of very different nature (continuous, discrete, stochastic, etc.). From thetechnical perspective, this challenge has been overcome with the help of offline co-simulation, wherethe most suitable simulation tools for all considered domain can be coupled via the Functional Mockup Interface specification. From the methodological perspective, this challenge has been addressedby basing the work in JRA2 on ERIGrid’s holistic testing procedure.
Histopathological effects of exogenously administered testosterone in 19 female to male transsexuals

The effects of exogenously administered testosterone were evaluated in a group of 19 female to male transsexuals who underwent bilateral salpingo-oophorectomy after a variable period of androgen therapy. The findings were compared to those in an age-matched group of 12 patients who underwent pelvic surgery for nonendocrine reasons. The most significant finding in the 19 androgen-treated female transsexuals was the finding of enlarged or borderline enlarged ovaries in 5 subjects. In addition, we found 1) multiple cystic follicles in 17 patients (89.5%), 2) diffuse ovarian stromal hyperplasia in 16 patients (84.2%), 3) collagenization of the outer cortex in 13 patients, and 4) luteinization of stromal cells in 5 patients (26.3%). Findings consistent with polycystic ovaries were thus present in 13 of the 19 patients based on the presence of 3 of the above 4 findings. The data suggest that increased blood levels and presumably increased ovarian concentrations of testosterone may produce the morphological feat.
Nutritional quality and acceptability of sweet potato–soybean–moringa composite porridge

Purpose – The purpose of this paper was to formulate porridge using orange-fleshed sweet potato (OFSP), soybean and moringa ingredients that optimizes its nutritional quality and acceptability. Design/methodology/approach – A 16-run constrained D-optimal mixture design was used to evaluate proximate compositions and sensory acceptability of the products. Each composition and acceptability response variable was optimized separately, and then, the sweet spot that optimizes all was determined. Findings – The protein, fiber, total ash, carbohydrate, iron and carotenoid contents as well as major sensory quality indicators were significantly affected by soybean, moringa and OFSP blends. However, the influence of the mixture on fat content was weak. Sensory acceptability was high for porridges processed from high OFSP and soybean, but higher nutritional quality was obtained from higher moringa levels. Graphical optimization showed that blends containing 68-75 per cent OFSP, 17-26 per cent soybean and 5-8 per cen.
Complete power electronics converter for small wind turbine with asynchronous generator

This paper presents a complete solution for automation and grid integration of a small wind turbine with variable speed asynchronous generator. Structure of a system is presented and AC-DC-AC power electronic converter with its auxiliary circuits is discussed in detail. Results of the 10 kW prototype system operation are illustrated. Streszczenie: W artykule przedstawiono kompleksowe rozwiązanie przeznaczone do automatyzacji oraz integracji z siecią elektroenergetyczną małej turbiny wiatrowej z generatorem indukcyjnym o regulowanej prędkości. Zaprezentowano strukturę systemu i omówiono szczegółowo przekształtnik energoelektroniczny AC-DC-AC wraz z obwodami pomocniczymi. Pokazano wyniki działania prototypowego układu o mocy 10 kW.
The Effects of Teaching Complex Grapheme-Phoneme Correspondences: Evidence from a Dual Site Cluster Trial with At-Risk Grade 2 Students

ABSTRACT We evaluated the impact of teaching complex grapheme–phoneme correspondences (GPC) derived from the Simplicity Principle to at-risk poor readers in Grade 2 classrooms, using a two-arm dual site matched control trial intervention. Poor word readers (n = 149) were allocated to either a) Simplicity GPC (n= 79) or b) Letter-Name Control (n= 70) small group reading programs, and received intervention for 12–15 hours over 12 weeks. Students were matched on baseline reading, language, parent demographics, and observed regular classroom teaching quality. Results of hierarchical data modeling showed advantages for the GPC-group for word reading, pseudoword reading, and sentence comprehension at post-test moderated by pre-test phonological awareness skills. The results provide support for teaching complex GPCs derived from the Simplicity Principle as an approach to intervention for word reading, but suggest that children with low PA need additional supports.
Performance Analysis of Equally weighted Portfolios: USA and Hungary

Investigating U.S. equally weighted portfolios, one can measure positive abnormal returns (Jensen alphas) according to the classical equilibrium models. Applying the Carhart four-factor model, we show that excess returns generated by the equally weighted multi-period investment strategy are neither caused by the small-firm effect, nor by the book-to-market equity, nor even by persistence. We document that this phenomenon cannot be observed in the Hungarian stock market, where the equally weighted rebalancing strategy neither achieves significant abnormal return, nor outperforms the value weighted index in terms of mean return. This latter result suggests that, from this point of view, the Hungarian capital market exhibits a higher level of efficiency than its US counterpart.
Special issue on real‐time behavioral monitoring in IoT applications using big data analytics

Real-time social multimedia level threat monitoring is becoming harder, due to higher and rapidly increasing data induction. Data induction through electric smart devices is greater compared to information processing capacity. Nowadays, data becomes humongous even coming from the single source. Therefore, when data emanates from all heterogeneous sources distributed over the globe makes data magnitude harder to process up to a needed scale. Big data and Deep learning have become standard in providing well-known solutions built-up using algorithms and techniques in resolving data matching issues. Now, with the involvement of sensors and automation in generating data obscures everything, predicting results to overcome a current era of ever enhancing demands and getting real-time visualization brings the need of feature like human behavior mode extraction to overcome any future threats. Big data analytics can bring the opportunity of predicting any misfortune even before they happen. Map reduce feature of big data supports massive data oriented process execution using distributed processing. Real-time human feature identification and detection can occur through sensors and internet sources. A behavioral prediction can further classify the information collected for introducing enhanced security extents. Real-time sensor devices are producing 24/7-hour data for further processing recording each event. IoT-based sensors can support in behavioral analysis model of a human. Real-time human behavioral monitoring based on image processing and IoT using big data analytics.