Miracle-dz/UniFAR-FTUs huggingface dataset:
GFZ Analysis Center 2019–2020 Report

This report provides general information and a component description of the IVS Analysis Center at GFZ. Current activities and recent results are mentioned, and the planned future work is outlined. 1 General Information The Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences is the national research center for Earth sciences in Germany. At this research facility, within Department 1 “Geodesy” and Section 1.1 “Space Geodetic Techniques,” a VLBI group has been established at the end of 2012. This group is an Associate Analysis Center (AC) of IVS. 2 Component Description GFZ is an Associate AC of the IVS. We have installed and partly automatized our VLBI analysis process in preparation for becoming an Operational AC. We are also supporting a combination center for tropospheric products. 1. Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences 2. Technische Universität Berlin KAI 2-2, Department of Geodesy and Geoinformation Science, Chair of Satellite Geodesy
Volatility Spillover in African Stock Markets: Evidence from Nigeria, Ghana and South Africa

Sejarah Artikel: Diterima: 8 Juni 2018 Disetujui: The purpose of this paper was to analyze stock market return volatility spillover between in Sub-Sahara markets using Nigeria, Ghana and South Africa monthly data from January 2000 to December 2017. Preliminary analyses from descriptive statistics show that show mean monthly returns are positive for all the stock markets. Skewness coefficients show that the stock returns and interest rates distribution of all Sub-Sahara Africa stock markets are negatively skewed but inflation rate is positively skewed for Nigeria and South Africa, and flat for Ghana. Excess kurtoses are positive for all the stock markets and macroeconomic indicators, and Jarque-Bera statistics indicate the stock markets’ series and macroeconomic indicators are not normally distributed. The Unit roots tests results indicate that all the stock markets and macroeconomic indicators are first difference stationary. The results of multivariate BEKK-GARCH (1,1) model show evidence of volatility spillover in SubSahara Africa stock markets. We therefore recommend amongst others that stock market authorities should formulate and implement policies that would mitigate any negative effect of stock return volatility on the wealth of retail investors so as to sustain investors’ confidence in the African stock markets. This will eliminate the destabilising impact on the investors’ confidence on the markets.
University of Groningen The Trade-Off between Spatial and Temporal Variabilities in Reciprocal Upper-Limb Aiming Movements of Different Durations Danion,

The spatial and temporal aspects of movement variability have typically been studied separately. As a result the relationship between spatial and temporal variabilities remains largely unknown. In two experiments we examined the evolution and covariation of spatial and temporal variabilities over variations in the duration of reciprocal aiming movements. Experiments differed in settings: In Experiment 1 participants moved unperturbed whereas in Experiment 2 they were confronted with an elastic force field. Different movement durations—for a constant inter-target distance—were either evoked by imposing spatial accuracy constraints while requiring participants to move as fast as possible, or prescribed by means of an auditory metronome while requiring participants to maximize spatial accuracy. Analyses focused on absolute and relative variabilities, respectively captured by the standard deviation (SD) and the coefficient of variation (CV = SD/mean). Spatial variability (both SDspace and CVspace) decreased with movement duration, while temporal variability (both SDtime and CVtime) increased with movement duration. We found strong negative correlations between spatial and temporal variabilities over variations in movement duration, whether the variability examined was absolute or relative. These findings observed at the level of the full movement contrasted with the findings observed at the level of the separate acceleration and deceleration phases of movement. During the separate acceleration and deceleration phases both spatial and temporal variabilities (SD and CV) were found to increase with their respective durations, leading to positive correlations between them. Moreover, variability was generally larger at the level of the constituent movement phases than at the level of the full movement. The general pattern of results was robust, as it emerged in both tasks in each of the two experiments. We conclude that feedback mechanisms operating to maximize task performance are subjected to a form of competition between spatial and temporal variabilities. Citation: Danion F, Bongers RM, Bootsma RJ (2014) The Trade-Off between Spatial and Temporal Variabilities in Reciprocal Upper-Limb Aiming Movements of Different Durations. PLoS ONE 9(5): e97447. doi:10.1371/journal.pone. 0097447 Editor: Robert J. van Beers, VU University Amsterdam, The Netherlands Received August 9, 2013; Accepted April 21, 2014; Published May 16, 2014 Copyright: 2014 Danion et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: The authors have no support or funding to report. Competing Interests: The authors have declared that no competing interests exist. * E-mail: frederic.danion@univ-amu.fr
Hypertrichosis associated with gene2c condi2ons with head and neck altera2ons

INTRODUCTION: Hypertrichosis is a rare disorder in which there is an exaggerated growth of body hair in places that are not necessarily androgen-dependent, a par2cular feature of hirsu2sm. Its e2ology is s2ll ques2onable, with an increased incidence when associated with syndromes. This gene2c associa2on leads to numerous significant systemic and craniofacial changes, which should be recognized and considered by the den2st. OBJECTIVE: To assess, in databases, the presence of congenital hypertrichosis associated with gene2c syndromes and condi2ons affec2ng the head and neck. METHODS: The search was conducted in PubMed-NCBI databases; gene2c condi2ons along with their characteris2cs were available in Online Mendelian Inheritance in Man (OMIM) and in Protein®. RESULTS: The analysis was performed on 63 ar2cles and all diseases were considered as rare. In the syndromes, prevalence of autosomal dominant inheritance was observed in 48.64%, followed by autosomal recessive in 45.9%, 1 X-linked recessive case, and 1 arising from defec2ve mitochondrial energy genera2on. Among the 63 gene2c condi2ons, 44 showed neurodevelopmental changes. Besides the craniofacial involvement itself, there is a high prevalence of altera2ons of the oral structures involving 47 of all condi2ons, including mainly dental abnormali2es, palatal and gingival changes. CONCLUSION: The associa2on of hypertrichosis with gene2c components is strongly associated with major craniofacial changes. Therefore, the knowledge of the dental surgeon about the condi2ons that can affect the oral cavity is impressive because it is related to a correct treatment and beZer quality of life for the pa2ent.
A satellite view of the changes in summer-time aerosol vertical distribution before and during COVID-19 lockdown conditions in India

This correspondence highlights the changing aspects of the vertical distribution of aerosols before (2015-19) and during the COVID-19 lockdown period (2020) for April to May in India. The overall reduction in the aerosol optical depth (AOD) values during lockdown over different regions of India over the Indo-Gangetic Plains (IGP). A systematic pattern of no significant changes and/or increase was observed in the mean AOD during lockdown at certain locations like northern Kerala, Karnataka, Telangana, Andhra Pradesh, Odisha, and West Bengal. In terms of vertical distribution, the aerosols in the boundary layer are more vertically mixed compared to the night-time where they are confined closer to the surface during daytime. Considering the daytime and night-time averaged aerosol profiles, a reduction of around ~30% in the aerosol extinction values has been observed over the entire Indian region near the surface (~500 m). Of particular interest is the near-surface change in the aerosol vertical distribution over IGP, where we can observe a larger reduction (~45%) in the aerosol extinction. It can be noted that in addition to the natural desert dust, a major aerosol type in pre-monsoons, polluted dust (which is a mixture of dust and smoke or urban pollution) is also dominant over several parts of the Indian region. Hence apart from the changes in natural aerosols, a decline in anthropogenic activities can be observed in terms of changes in vertical profiles of polluted dust over the Indian region (night-time).
Evaluation of OCT biomarker changes in treatment-naive neovascular AMD using a deep semantic segmentation algorithm

Purpose: To determine real life quantitative changes in OCT biomarkers in a large set of treatment naive patients undergoing anti-VEGF therapy. For this purpose, we devised a novel deep learning based semantic segmentation algorithm providing, to the best of our knowledge, the first benchmark results for automatic segmentation of 11 OCT features including biomarkers that are in line with the latest consensus nomenclature of the AAO for age-related macular degeneration (AMD). Design: Retrospective study. Participants: Segmentation algorithm training set of 458 volume scans as well as single scans from 363 treatment naive patients for the analysis. Methods: Training of a Deep U-net based semantic segmentation ensemble algorithm leveraging multiple deep convolutional neural networks for state of the art semantic segmentation performance as well as analyzing OCT features prior to, after 3 and 12 months of anti-VEGF therapy. Main outcome measures: F1 score for the segmentation efficiency and the quantified volumes of 11 OCT features. Results: The segmentation algorithm achieved high F1 scores of almost 1.0 for neurosensory retina and subretinal fluid on a separate hold out test set with unseen patients. The algorithm performed worse for subretinal hyperreflective material and fibrovascular PED, on par with drusenoid PED and better in segmenting fibrosis. In the evaluation of treatment naive OCT scans, significant changes occurred for intraretinal fluid (mean: 0.03 to 0.01, p<0.001), subretinal fluid (0.08 to 0.01, p<0.001), subretinal hyperreflective material (0.02 to 0.01, p<0.001), fibrovascular PED (0.12 to 0.09, p=0.02) and central retinal thickness C0 (225.78 to 169.40) (all values in cubic micrometers). The amounts of intraretinal fluid, fibrovascular PED and ERM were predictive of poor outcome. Conclusions: The segmentation algorithm allows efficient volumetric analysis of OCT scans. Anti-VEGF therapy provokes most potent changes in the first 3 months and afterwards only acts as a stabilizing agent. Furthermore, a gradual loss of RPE hints at a progressing decline of visual acuity even beyond month 12. Additional research is required to understand how these accurate OCT predictions can be leveraged for a personalized therapy regimen.
113-236 Tourism 2020 02ENG.indd

Th e purpose of this paper is to identify the main soft skills demanded by the hospitality industry, under the perception of master ́s degree students and the infl uence of limiting beliefs in skills development. After a literature review, we lead a fi eldwork based on workshops in which we conducted two questionnaires and we analyze the behaviour of students through the method of tutor observation. Th e results show a relationship between their soft-skills, and a signifi cative negative correlation between perceived skills and the limiting beliefs. With this exploratory paper, we try to contribute to the better knowledge of new factors that may be hindering the development of the soft skills demanded in postgraduate students in the hospitality sector. Th ese preliminary conclusions can be useful for both postgraduate schools and companies in their selection and training processes.
Fault-Tolerant Economic Model Predictive Control for Wind Turbines

The operational cost of wind turbines (WT) is remarkably incurred in fatigue loads induced by torsional vibration within the drive-train subsystem and fore-aft bending of the tower subsystem. Under closed-loop control configuration, actuator faults in pitch subsystem and converter subsystem proliferate these fatigue loads, thereby, severely affect the economic operation of WT. In this paper, we present a novel active fault-tolerant control (FTC) methodology for WT, which minimizes the economic cost of WT by achieving the two broad objectives: power maximization and fatigue reduction, possibly under the effect of torque bias faults in converters. The proposed FTC system is composed of two modules: fault detection and diagnosis (FDD), and controller reconfiguration (CR). We develop the CR module using a model-predictive control (MPC) technique where the primary issue is that the constraint set is not convex in decision variables. The novelty of the proposed scheme lies in transforming the original nonconvex optimization problem into a convex problem using some new decision variables. We also develop the FDD module using an unknown-input-residual generator and a suitably designed estimation filter to extract the complete information of the fault. This fault information is subsequently used to reconfigure in real-time the constraints of the MPC to ensure system availability. The effectiveness of the developed scheme is demonstrated on a 2-MW wind turbine system.
Thermal analysis of fault‐tolerant electrical machines for aerospace actuators

For safety-critical applications, electrical machines need to satisfy several constraints, in order to be considered fault tolerant. In fact, if specific design choices and appropriate control strategies are embraced, fault-tolerant machines can operate safely even in faulty conditions. However, particular care should be taken for avoiding uncontrolled thermal overload, which can either cause severe failures or simply shorten the machine lifetime. This study describes the thermal modelling of two permanent magnet synchronous machines for aerospace applications. In terms of the winding's layout, both machines employ concentrated windings at alternated teeth, with the purpose of accomplishing fault-tolerance features. The first machine (i.e. Machine A ) adopts a three-phase winding configuration, while a double three-phase configuration is used by the second one (i.e. Machine B ). For both machines, the winding temperatures are evaluated via simplified thermal models, which were experimentally validated. Copper and iron losses, necessary for the thermal simulations, are calculated analytically and through electromagnetic finite-element analysis, respectively. Finally, two aerospace study cases are presented, and the machines' thermal behaviour is analysed during both healthy and faulty conditions. Single-phase open-circuit and three-phase short-circuit are accounted for Machines A and B, respectively.
Pixel‐domain adversarial examples against CNN‐based manipulation detectors

An attack method against convolutional neural network (CNN) detectors, which minimises the distortion in the pixel domain, is proposed. By focusing on CNN models developed for manipulation detection, experiments show that, while the small perturbations introduced by existing methods tend to be cancelled out when the adversarial examples are rounded to pixels, thus making the attack ineffective, the proposed approach can generate pixel-domain adversarial images which succeed in inducing a wrong decision with very small distortions.
Evaluation of Chemichal Content of Desiccated Coconut Using FT-NIR Spectroscopy

Desiccated coconut is one of the leading export products of Indonesia with increasing demand. The quality of desiccated coconut is determined by chemical content of lipids and free fatty acids (FFA). The measurement of the chemical content is mostly performed by chemical methods that leave chemical residues and caused health problems. The aim of this research was to use FT-NIR spectroscopy as a rapid method to estimate chemical content of lipids and FFA in desiccated coconut. The FT-NIR spectrometer with a 1000-2500 nm wavelength range was used to measure spectra by reflectance mode from 48 samples. The reference data was performed using the chemical method. The spectra data were pre-treated using SNV, MSC, second derivative, and normalization. The partial least square regression (PLSR) was used to determine the best calibration model to predict chemical content. The best calibration model for predicting chemical content were obtained using original spectra with 16 PLS factors with the accuracy indicators of r = 0.95, SEC = 0.05 % SEP = 0.55 %, CV = 0.85 %, RPD = 3.21 and consistency 82.81 for lipids content, and r= 0.90, SEC = 0.01 %, SEP = 0.01 %, CV= 5.89 %, RPD = 2.09 and consistency of 93.18 for free fatty acids content.
Chłodzenie materii poprzez fluorescencję antystokesowską

nane są rozne metody chlodzenia wykorzystujące procesy termodynamiczne, zjawiska termoelektryczne i magnetoelektryczne. W artykule przedstawiono mozliwości chlodzenia materii poprzez fluorescencje antystokesowską materialu luminezującego oświetlanego światlem laserowym o określonej dlugości fali. Materialami szczegolnie korzystnymi są szkla domieszkowane metalami ziem rzadkich n.p. szklo typu ZBLAN, zawierające iterb. Uklady takie o niewielkich wymiarach są przeznaczone do chlodzenia elementow elektronicznych na satelitach czy w rakietach do temperatur rzedu 150K.
Rapid authentication of stingless bees (Heterotrigona itama) honey by UV spectroscopy and hierarchical cluster analysis

The price of stingless bee (Heterotrigona itama) honey is almost twice higher than the one produced by a non-stingless bee (Apis mellifera) due to its limited production and high content of polyphenol and flavonoids compounds. However, in the market, the authentication of stingless bees and non-stingless bees honey becomes difficult due to the similarity in the color of honey and its sugar content. In this research, we propose a simple analytical approach by combining ultraviolet (UV) spectroscopy and hierarchical cluster analysis (HCA) for discrimination between stingless and non-stingless bee honey. Fifty samples of monofloral stingless bee (Heterotrigona itama) honey and non-stingless bee (Apis mellifera) honey from Acacia mangium was used. The samples were diluted with a distilled water at a proportion of 1:30 (volume/volume). The spectral data were acquired in the range of 190-1100 nm using a benchtop UV-Vis spectrometer with fast scanning mode. The HCA was applied for selected preprocessed spectral data in the range of 230-400 nm. The result shows that HCA could be effective to discriminate between stingless and non-stingless bee honey. Shortly, it is expected to realize the simple and quick analytical method to authenticate stingless bee honey based on UV spectroscopy and the HCA method.
A simplified analytical method for predictions of ship deckhouse collision loads on steel bridge girders

ABSTRACT Bridges across busy navigation channels are under the threat of accidental ship collisions. Many research works have been conducted to investigate the structural responses during ship bow-bridge pier collisions. However, the collisions between the ship deckhouse and the bridge girder have not been well studied. In this paper, a container ship deckhouse impact with a floating bridge girder is investigated. The impact demand and the structural deformation during the deckhouse-girder collision are numerically obtained. Based on the deformation mechanism observed from the simulation, a simplified analytical method is proposed for the fast prediction of the impact force and energy dissipation. The impact resistance and energy dissipation calculated by the simplified analytical method are validated against the numerical results for various collision scenarios. Results show the proposed method can accurately and efficiently estimate the impact demand of deckhouse-girder collisions.
Utilization of Recycled Material Sources for Wood-Polypropylene Composites: Effect on Internal Composite Structure, Particle Characteristics and Physico-Mechanical Properties

In this study, various wood material sources were used for the manufacture of wood-polymer composites (WPC). The materials were categorised as virgin wood particles (VWP), reprocessed WPC particles (RWP) and recycled thermoset composite particles (RCP) and derived from two virgin wood sources, three-layer particleboards, medium-density fibreboards (MDF) boards, or two different wood/polypropylene composites. All produced wood-polypropylene compounds contained 60% wood material and were manufactured using a co-rotating extruder. Malleated polypropylene was used as a coupling agent. Specimens were injection moulded and subsequently tested for their physico-mechanical properties. To characterize particles before and after processing, dynamic image analysis (DIA) measurement were performed. Additionally, X-ray micro-computed tomography (XµCT) was used to characterize the internal structure of the composites and to verify the obtained particle’s characteristics. It was found that length and aspect ratio of particles were remarkably different before and after processing (loss in length of 15–70% and aspect ratio of 10–40%). Moreover, there were notably differences between the particle sources (RCP retained the highest length and aspect ratio values, followed by VWP and RWP). The results suggest that increased aspect ratios can indeed significantly improve mechanical properties (up to 300% increase in impact bending strength and 75% increase in tensile strength, comparing WPC based either on virgin spruce or MDF material). This phenomenon is suggested to be partially superimposed by improved dispersion of particles, which is expected due to lower variance and increased mechanical properties of RWP composites. However, no notable alterations were observed for composite density. Reprocessed WPC and, particularly, RCP material have proved to be an appealing raw material substitute for the manufacturing of wood–polymer composites.
Synchronization in games sound: an audiovisual study on player experience and performance

The asynchronous perception is one of the critical factors in the game experience. It includes temporal asynchrony in the game elements and interaction. The aesthetic coherence is also a part of the synchronous perception. There are emerging studies on asynchronous perception as the rising of the next generation gaming platform. We conducted two studies in this paper. First, we investigated the sensitivity of human perception to the asynchronous audiovisual and analyzed how the audiovisual content affects the perception. Then, we further explored the in-game asynchronous perception, focusing on the asynchronous sound effect and background music. The result indicates that the ability to distinguish the asynchronous audiovisual is a normal distribution among the people, and the in-game asynchronous sound will reduce the overall performance and experience, especially in the tempi of the background music.
Design of a Low on Resistance High Voltage (120V) Novel 3D NLDMOS with Side Isolation Based on 0.35um BCD Process Technology

High performance power device is necessary for BCD power device. In this paper, we used 3D Synopsis TCAD simulation tool Sentaurus to develop 120V device and successfully simulated. We implemented in a conventional 0.35um BCDMOS process to present of a novel high side 120V LDMOS have reduced surface field (RESURF) and Liner p-top structure with side isolation technology. The device has been research to achieve a benchmark specific on-resistance of 189 mΩ -mm while maintaining horizontal breakdown voltage and vertical isolation voltage both to target breakdown voltage of 120V. In ESOA, we also proposed a better performance of both device without kirk effect.