Miracle-dz/UniFAR-FTUs huggingface dataset:
MODEL-BASED SENSOR SUPERVISION IN INLAND

In recent years, inland navigation networks benefit from the innovation of the instrumentation and SCADA systems. These data acquisition and control systems lead to the improvement of the management of these networks. Moreover, they allow the implementation of more accurate automatic control to guarantee the navigation requirements. However, sensors and actuators are subject to faults due to the strong effects of the environment, aging, etc. Thus, before implementing automatic control strategies that rely on the fault-free mode, it is necessary to design a fault diagnosis scheme. This fault diagnosis scheme has to detect and isolate possible faults in the system to guarantee fault-free data and the efficiency of the automatic control algorithms. Moreover, the proposed supervision scheme could predict future incipient faults that are necessary to perform predictive maintenance of the equipment. In this paper, a general architecture of sensor fault detection and isolation using model-based approaches will be proposed for inland navigation networks. The proposed approach will be particularized for the Cuinchy-Fontinettes reach located in the north of France. The preliminary results show the effectiveness of the proposed fault diagnosis methodologies using a realistic simulator and fault scenarios.
Earnings Management and Value Relevance in Nigeria: A Pre and Post Ifrs Analysis

The purpose of this article is to analyse the literature concerning legal framework for outer space activities by states. Review was conducted on the elements of national space law, including literature critiquing particular strengths or weaknesses of existing laws and literature, on the obligations placed on States under international law and on why writers make particular recommendations as to the content of legislation. The article will summarise the key elements one would anticipate finding in the outer space regulatory framework and which will form the structure of the analytical framework when considering how States implement international space law in practice. In recent times, the issue of earnings management and value relevance has caused financial reports to come under scrutiny. With the introduction of the International Financial Reporting Standards (IFRS), a lot of studies have been carried out to see what kind of effect it has on key financial variables such as earnings management and value relevance of firms. Therefore, this study, “Earnings Management and Value Relevance in Nigeria: A Pre and Post IFRS Analysis”, examined the impact of IFRS on Earnings Management and Value Relevance of financial information in Non-Financial Companies quoted in the Nigerian Stock Exchange (NSE). Data gathered are from the financial statements and annual reports of 60 Companies from the Non-Financial Sector of the Nigeria Stock Exchange because companies in the financial sector are not overall amendable to accruals model. The empirical study covered the period from 2007 to 2016 statistical and econometric tools such as Panel data regression and paired samples tests. The results revealed an increase in value relevance, and a decrease in earnings management in the Post-IFRS era. Thus, we infer that earnings management level has decreased while value relevance has increased since IFRS adoption. This study therefore recommends that the relevant regulatory bodies should be empowered by the government to enable the formulation of effective measures and policies that check earnings management practices, and foster value relevance of the financial information presented in the annual reports and accounts of Nigerian companies.
Survival of suburban blackbirds Turdus merula varies seasonally but not by sex

Survival is a key demographic parameter in bird populations yet remarkably little is known about the seasonal pattern of survival. Mortality may increase as a result of breeding behaviour, harsh environmental conditions, resource limitation or any combination of these; knowing which is important for understanding the ecology of population change. We analyse an intensive ten-year colour marking programme of European blackbirds Turdus merula to estimate seasonal and sex-specific survival rates. The annual survival rate (0.67) was similar to that produced from analyses of dead recoveries across Britain, but within year variation was significant. Survival rates were lowest during the early part of the breeding period and highest in the autumn, but there was little difference between the sexes. Understanding this pattern of variation is important in interpreting both life-history variation and the mechanisms of population change.
FILTERING PHOTOGRAMMETRIC POINT CLOUDS USING STANDARD LIDAR FILTERS TOWARDS DTM GENERATION

Abstract. Digital Terrain Models (DTMs) can be generated from point clouds acquired by laser scanning or photogrammetric dense matching. During the last two decades, much effort has been paid to developing robust filtering algorithms for the airborne laser scanning (ALS) data. With the point cloud quality from dense image matching (DIM) getting better and better, the research question that arises is whether those standard Lidar filters can be used to filter photogrammetric point clouds as well. Experiments are implemented to filter two dense matching point clouds with different noise levels. Results show that the standard Lidar filter is robust to random noise. However, artefacts and blunders in the DIM points often appear due to low contrast or poor texture in the images. Filtering will be erroneous in these locations. Filtering the DIM points pre-processed by a ranking filter will bring higher Type II error (i.e. non-ground points actually labelled as ground points) but much lower Type I error (i.e. bare ground points labelled as non-ground points). Finally, the potential DTM accuracy that can be achieved by DIM points is evaluated. Two DIM point clouds derived by Pix4Dmapper and SURE are compared. On grassland dense matching generates points higher than the true terrain surface, which will result in incorrectly elevated DTMs. The application of the ranking filter leads to a reduced bias in the DTM height, but a slightly increased noise level.
Coaching in a non-clinical setting with coachees who access mental health services

This paper presents the findings from the study of a unique coaching situation. Coachees currently accessing mental health services and members of Converge (see below) were paired with undergraduate coaching students for time-limited coaching. Participants took part in semi-structured interviews. Transcripts were analysed using Interpretive Phenomenological Analysis. Results suggest that both groups found the experience to be beneficial. Both groups reported greater sense of agency. Coachees experienced a sense of potential achievement in their personal lives. The student coaches reported a sense of greater professional competence and identity. Both groups negotiated tensions between concepts of normality/abnormality and formality/informality, which seemed to create learning.
Modelling and Simulation of Self Heating in GaN Based High Electron Mobility Transistors (HEMTs)

In this paper we present the numerical simulation and characterization of GaN based high electron mobility transistors (HEMTs) using commercial device simulation software ATLAS from Silvaco international. Device has been characterized in terms of its electrical and thermal behavior by simulating its transfer and output characteristics without self-heating and with self-heating. Also we simulated the distribution of lattice temperature inside the device for thermal characterization of the device. For electrical characterization the fundamental equations responsible for charge transport of charge carriers have been solved using finite element method. For thermal characterization fundamental equations of charge transport and heat flow equations have been solved self consistently.
Spinning particles in general relativity: Momentum-velocity relation for the Mathisson-Pirani spin condition

The Mathisson-Papapetrou-Dixon (MPD) equations, providing the "pole-dipole" description of spinning test particles in general relativity, have to be supplemented by a condition specifying the worldline that will represent the history of the studied body. It has long been thought that the Mathisson-Pirani (MP) spin condition -- unlike other major choices made in the literature -- does not yield an explicit momentum-velocity relation. We derive here the desired (and very simple) relation and show that it is in fact equivalent to the MP condition. We clarify the apparent paradox between the existence of such a definite relation and the known fact that the MP condition is degenerate (does not specify a unique worldline), thus shedding light on some conflicting statements made in the literature. We then show how, for a given body, this spin condition yields infinitely many possible representative worldlines, and derive a detailed method how to switch between them in a curved spacetime. The MP condition is a convenient choice in situations when it is easy to recognize its "non-helical" solution, as exemplified here by bodies in circular orbits and in radial fall in the Schwarzschild spacetime.
EVALUATION OF AGRO-MORPHOLOGICAL DIVERSITY IN WILD RELATIVES OF WHEAT COLLECTED IN IRAN

In this study, a core collection of 180 Aegilops and Triticum accessions belonging to six diploid (T. boeoticum Bioss., T. urartu Gandilyan., Ae. speltoides Tausch., Ae. tauschii Coss., Ae. caudata L. and Ae. umbellulata Zhuk.), five tetraploid (T. durum, Ae. neglecta Req. ex Bertol., Ae. cylindrica Host. and Ae. crassa Boiss) and one hexaploid (T. aestivum L.) species collected from different regions of Iran were evaluated using 20 agromorphological characters. Statistical analysis showed significant differences among accessions. The Shannon-Weaver (HʹSW) and Nei’s (HʹN) genetic diversity indices disclosed intermediate to high diversity for most characters in both Aegilops and Triticum core sets. In factor analysis, the first five components justified 82.17% of the total of agromorphological variation. Based on measured characters, the 180 accessions were separated into two major groups by cluster analysis. Furthermore, based on the 2D-plot generated using two discriminant functions, different species were separated into six groups, so that distribution of species accorded with their genome construction. Overall, our results revealed considerable levels of genetic diversity among studied Iranian Aegilops and Triticum accessions, which can open up new avenues for rethinking the connections between wild relatives to explore valuable agronomic traits for the improvement and adaptation of wheat.
Modelling the Galaxy from survey data

Abstract Recent optical and near-infrared surveys have considerably improved our knowledge of galactic structure and galactic evolution. Two ways can be used to infer this knowledge from datasets: either inversing the data to get parameters describing the Galaxy, or using a synthetic approaches to test scenarios of formation and theoretical models for star and galaxy formation and evolution, both approaches being complementary. Using the synthetic approach the Besancon Galaxy model allows to test scenarios for the structure and evolution of the Galaxy by comparing simulations with the survey data. Examples are given using the 2MASS survey. Future uses of astrometric survey data are shown to be able to efficiently constrain the kinematics and dynamics of the Galaxy.
ESTIMATION AND TESTING FOR FUNCTIONAL FORM IN PURE PREMIUM REGRESSION MODELS

Estimation of pure premiums for alternative rate classes using regression methods requires the choice of a functional form for the statistical model. Common choices include linear and log-linear models. This paper considers maximum likelihood estimation and testing for functional form using the power transformation suggested by Box and Cox. The linear and log-linear models are special cases of this transformation. Application of the procedure is illustrated using auto insurance claims data from the state of Massachusetts and from the United Kingdom. The predictive accuracy of the method compares favorably to that for the linear and log-linear models for both data sets.
A molecular dynamics study of the effects of fast molecular motions on solid-state NMR parameters

The influence of fast molecular motions on NMR parameters in molecular organic solids is explored on a set of amino acids and nucleic acid bases. A combination of DFT molecular dynamics and calculations of shielding and electric field gradient (EFG) tensors reveals the impact of vibrational motions on isotropic chemical shifts, chemical shift anisotropies (CSAs) and quadrupolar interactions. We demonstrate that molecular motion has a significant effect on average molecular structures, and that neglecting the effects of motion on crystal structures derived by diffraction methods may lead to significant errors of calculated isotropic chemical shifts. Re-orientation of the NMR tensors by molecular motion reduces the magnitudes of the NMR anisotropies, and inclusion of molecular dynamics can significantly improve the agreement between calculated quadrupolar couplings and experimental values.
MONITORING SYSTEM FOR THE LOCAL LAUNCH POINTS OF THE ANTI-HAIL UNITS

This paper presents a system for monitoring an anti-hail system. It is proposed a specific system for anti-hail network in Romania witch completes the known systems with information subsystems specific for both to identify the best solutions for the coordination and launch. The main points refer to the monitoring system structure, sources of information in a local unit launch, the devices master and slave of the monitoring system, the software architecture of the decision support subsystem for launch. The system comprises two main components: a system for taking the decision of launch and the system for assisting the launch decision. The hardware architecture of the system for monitoring local point and the hardware architecture of the central monitoring system is presented at point 4, also there are presented the main blocks of the slave module. The input data, output data, the main algorithm of the interface for the decision launch support subsystem, the computerized decision support system interface are presented at point 5 of the present work. In the realization of the system will be consider all the following: the use of communication via GPRS, monitoring the parameters throughout the all period of operating, log-values, status and alarms, operator actions journals, friendly graphical interface and the generation of tabular and graphical reports for any period. The integrated system for monitoring the launch anti hail rockets units enables: an increased efficiency by shortening the time for action, a good organization, a high degree of security.
Collisional model of quasilinear transport driven by toroidal electrostatic ion temperature gradient modes

The stability of ion temperature gradient ITG modes and the quasilinear fluxes driven by them are analyzed in weakly collisional tokamak plasmas using a semianalytical model based on an approximate solution of the gyrokinetic equation, where collisions are modeled by a Lorentz operator. Although the frequencies and growth rates of ITG modes far from threshold are only very weakly sensitive to the collisionality, the a /LTi threshold for stability is affected significantly by electron-ion collisions. The decrease in collisionality destabilizes the ITG mode driving an inward particle flux, which leads to the steepening of the density profile. Closed analytical expressions for the electron and ion density and temperature responses have been derived without expansion in the smallness of the magnetic drift frequencies. The results have been compared with gyrokinetic simulations with GYRO and illustrated by showing the scalings of the eigenvalues and quasilinear fluxes with collisionality, temperature scale length, and magnetic shear. © 2009 American Institute of Physics. DOI: 10.1063/1.3168611
Using the capability approach to conceptualise African identity(ies)

In a context where “African identity” is a category that is often homogenised across a vast and diverse continent and beyond, there is a need to interrogate and better understand the concept. The prevalence of migration and cultural exchange in our interconnected world makes it imperative to look beyond race and space as a way of understanding identity, speaking both to sameness and difference. Acknowledging the complexities and the contested nature of identities and in particular, African identity/identities, this paper argues against an essentialised approach to identities in a global context. It explores and builds on arguments for plural identities, mobilising concepts of heterogeneity and plurality, agency and public deliberation from the Capability Approach in order to advance a way of understanding and negotiating identities that allows for a reasoned, flexible and inclusive approach. The Capability Approach is proposed as a generative normative framework which provides an important way to explain and negotiate identities in Africa based on human development grounded in social justice. In doing so, the paper acknowledges an understanding of identity as multifaceted and fluid, and when informed by human development and capabilities, is able to strengthen values like tolerance and accommodation of the “other” on the basis of recognition, respect and equality. I focus on the freedoms, opportunities and choices available for individuals to deliberate on the type of identities or African identities that they value on the assumption that identity is an object of reasoned choice, even though subject to constraints, and that more than one identity choice is possible.
Proteomics in Acute Myeloid Leukemia

Acute myeloid leukemia (AML) is an extremely heterogeneous and deadly hematological cancer. Cytogenetic abnormalities and genetic mutations, though well recognized and highly prognostic, do not fully capture the degree of heterogeneities manifested in AML clinically. Additionally, current treatment of AML still largely depends on chemotherapy and allogeneic stem cell transplantation, with few options for personalized and molecularly targeted therapies. Proteomics holds promise for unraveling biological heterogeneities in AML beyond the scope of cytogenetics and genomics. In recent years, proteomics has emerged as an important tool for discovering new diagnostic biomarkers, enabling more prognostic patient classifications, and identifying novel therapeutic targets. In this chapter, we review recent advances in proteomic studies of AML, including an overview of AML pathology, popular proteomic techniques, various applications of proteomics in AML from biomarker discovery to target identification, challenges and future directions in this field.
The VIVA OpenHBM Finite Element 50th Percentile Female Occupant Model: Whole Body Model Development and Kinematic Validation

Recently, significant progress has been made in the development of Finite Element Human Body Models, and they have been introduced in the development of automotive safety systems. The average female has not been covered by previous modelling projects, although it has been shown that females are exposed to a higher risk of injury than males in comparable automotive accidents. This study aims to describe the development of a 50th percentile female Open Source Human Body Model, to validate its kinematics, and compare the effect of having a detailed or simplified neck model in the Model. The Human Body Model was developed from surface data of a 50th percentile female, using rigid bones,kinematic joints, and deformable soft tissue for the whole body model, together with an existing detailed neck model and a new simplified neck model. The kinematic response was compared with female and scaled male Post Mortem Human Subject data using objective rating in frontal, roll‐over, and rear‐impact simulations. The model correlation was found to be 0.91, 0.67, and 0.63 in the principal direction of each load case. Using a simplified neck model only marginally influenced the correlation in whole body simulations, while in isolated head neck simulations the head kinematics were affected.
The influence of active learning experiences on the development of graduate capabilities

Surveys at a university in Hong Kong indicated that graduates of discrete part‐time programmes perceived significantly higher development in eight out of nine graduate capabilities than their counterparts in full‐time programmes. Several possible explanations are considered and rejected. The conventional view that capabilities are nurtured through immersion in a stimulating campus environment was not applicable, as the part‐time students spent less time on campus than the full‐time ones. Other data in the survey suggested that the respective teaching and learning environments might be the principal cause. It appeared that the part‐time courses had more teacher–student interaction, and were more likely to employ active learning approaches. Structural equation modelling was used to examine this possible explanation. A model in which the type of teaching and teacher–student relationships impacted upon capability development showed a good fit to the data. The greatest effect was from teaching approaches requiring active student involvement and aiming for understanding. There was a mutually reinforcing effect from good teacher–student relationships. The results suggest that a strong effect on the development of graduate capabilities may come through employing active learning approaches.
A Mixed Methods Approach Towards Mapping and Economic Valuation of the Divici-Pojejena Wetland Ecosystem Services in Romania

Mapping and valuating ecosystem services has gained increasing attention over the last years and remains high in the research agenda. In this paper, a mixed methods approach is used to valuate ecosystem services provided by the Divici-Pojejena wetland in Romania. A qualitative part relied on focus group discussions and interviews to identify key stakeholders and the ecosystem services provided by the wetland site. The benefit transfer (BT) method was used for the monetary valuation of the identified ecosystem services that the wetland provides. Bird watching opportunities, water quality, and flood prevention services are among the highest valued services, while the amenity services are the least valued among all wetland services.
OBACIS IV: THE CLOSED-LOOP TEACHING AND LEARNING FRAMEWORK

OBACIS is a tri-platform outcome-based assessment and continues improvement system. The system is composed of three integrated platforms/applications: a Win app, an Excel app, and a Web-app. In this paper, a Closed-Loop Teaching and Learning Framework (CTLF) is presented. The framework is composed of two layers: A program layer and a course layer. At the heart of the program layer lies the program-level closed-loop teaching and learning process (P-CTLP) with an overarching process concerned with the analytics and the continuous improvement activities located in the feedback loop. P-CTLP has several inputs or constituents that affect its quality outcomes, namely the successful engineering graduates and the continuously improving program outcomes, a.k. a. Graduate Attributes. At the course layer, there is a simplified course-level closed-loop teaching and learning process (C-CTLP) with its simplified feedback loop, inputs and outputs. P-CTLP and C-CTLP are a sort of master-detail closed-loop continuous improvement system. C-CTLP is managed and controlled by individual faculty members, while higher administrative and executive staff manages P-CTLP and the overall CTLF. Since the outcome-based accreditation is still locked in the data collection phase, the framework presented will be the foundation for creating a data-driven analytics engine and a continued improvement system at the program and faculty levels. The proposed framework should be instrumental in justifying the effort and the investment spent on the new outcome-based accreditation process.