Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards semantic interoperability standards based on ontologies

This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreements No.732240 (SynchroniCity) and No. 688467 (VICINITY); from ETSI under Specialist Task Forces 534, 556, and 566. This work is partially funded by Hazards SEES NSF Award EAR 1520870, and KHealth NIH 1 R01 HD087132-01.
A Comparison of Supermassive Black Hole Mass of NGC 4151 Using Different Methods

We found a new value of supermassive black hole (SMBH) mass in the middle of type 1 Seyfert, NGC 4151 galaxy. In this Study, the image of NGC 4151 galaxy was deprojected to face-on, using spiral galaxy of face-on, and applied IRAF to calculate the ellipticity and position angle of major-axis. A two-dimensional (2D) Fast Fourier Transform (FFT) applied to the deprojected image to calculate the spiral arm of NGC 4151 galaxy, and, in that way, find a central mass AGN 4151 galaxy. We compared our results of the mass of SMBH in in the center of NGC 4151 galaxy with the mass of SMBH calculated using different methods ((direct method: stellar dynamics, gas dynamics, reverberation mapping), and indirect method: MBH-σ*, MBH-Vrot, MBH-n, MBH-Lbulge, and MBH-P correlations). We concluded that the results of mass for these methods are in agreement with the estimated ones, i.e. using direct methods.
Customized Scaffold Design Based on Natural Peripheral Nerve Fascicle Characteristics for Biofabrication in Tissue Regeneration

Objective The use of a biofabrication nerve scaffold, which mimics the nerve microstructure, as an alternative for autologous nerve transplantation is a promising strategy for treating peripheral nerve defects. This study aimed to design a customized biofabrication scaffold model with the characteristics of human peripheral nerve fascicles. Methods We used Micro-MRI technique to obtain different nerve fascicles. A full-length 28 cm tibial nerve specimen was obtained and was divided into 14 two-centimetre nerve segments. 3D models of the nerve fascicles were obtained by three-dimensional reconstruction after image segmentation. The central line of the nerve fascicles was fitted, and the aggregation of nerve fascicles was analysed quantitatively. The nerve scaffold was designed by simulating the clinical nerve defect and extracting information from the acquired nerve fascicle data; the scaffold design was displayed by 3D printing to verify the accuracy of the model. Result The microstructure of the sciatic nerve, tibial nerve, and common peroneal nerve in the nerve fascicles could be obtained by three-dimensional reconstruction. The number of cross fusions of tibial nerve fascicles from proximal end to distal end decreased gradually. By designing the nerve graft in accordance with the microstructure of the nerve fascicles, the 3D printed model demonstrated that the two ends of the nerve defect can be well matched. Conclusion The microstructure of the nerve fascicles is complicated and changeable, and the spatial position of each nerve fascicle and the long segment of the nerve fascicle aggregation show great changes at different levels. Under the premise of the stability of the existing imaging techniques, a large number of scanning nerve samples can be used to set up a three-dimensional database of the peripheral nerve fascicle microstructure, integrating the gross imaging information, and provide a template for the design of the downstream nerve graft model.
Seafloor Geodesy in Shallow Water With GPS on an Anchored Spar Buoy

Measuring seafloor motion in shallow coastal water is challenging due to strong and highly variable oceanographic effects. Such measurements are potentially useful for monitoring near‐shore coastal subsidence, subsidence due to petroleum withdrawal, strain accumulation/release processes in subduction zones and submerged volcanoes, and certain freshwater applications, such as volcano deformation in caldera‐hosted lakes. We have developed a seafloor geodesy system for this environment based on an anchored spar buoy topped by high‐precision GPS. Orientation of the buoy is measured using a digital compass that provides heading, pitch, and roll information. The combined orientation and GPS tracking data are used to recover the three‐dimensional position of the seafloor marker (anchor). A test system has been deployed in Tampa Bay, Florida, for over 1 year and has weathered several major storms without incident. Even in the presence of strong tidal currents which can deflect the top of the buoy several meters from vertical, daily repeatability in the corrected three‐component position estimates for the anchor is 1–2 cm or better.
Reproducibility, and sensitivity to motor unit loss in ALS, of a novel MUNE method: MScanFit MUNE

Objective: To examine interand intra-rater reproducibility and sensitivity to motor unit loss of a novel motor unit number estimation (MUNE) method, MScanFit MUNE (MScan), compared to two traditional MUNE methods; Multiple point stimulation MUNE (MPS) and Motor Unit Number Index (MUNIX). Methods: Twenty-two ALS patients and 20 sexand age-matched healthy controls were included. MPS, MUNIX, and MScan were performed twice each by two blinded physicians. Reproducibility of MUNE values was assessed by coefficient of variation (CV) and intra class correlation coefficient (ICC). Ability to detect motor unit loss was assessed by ROC curves and area under the curve (AUC). The times taken for each of the methods were recorded. Results: MScan was more reproducible than MPS and MUNIX both between and within operators. The mean CV for MScan (12.3%) was significantly lower than for MPS (24.7%) or MUNIX (21.5%). All methods had ICC>0.94. MScan and Munix were significantly quicker to perform than MPS (6.3m vs. 13.2m). MScan (AUC= 0.930) and MPS (AUC=0.899) were significantly better at discriminating between patients and healthy controls than MUNIX (AUC=0.831). Conclusions: MScan was more consistent than MPS or MUNIX and better at distinguishing ALS patients from healthy subjects. Significance: MScan may improve detection and assessment of motor unit loss.
Speech-based Emotion Recognition: Application of Collective Decision Making Concepts

Nowadays “human-machine” interactions are not as vivid as they might be. Spoken dialogue systems use only uniform phrases to respond and do not take into consideration the personal qualities of the speaker (age, gender, educational level, and emotions) and adjust their answers accordingly. Therefore it is of utmost importance to elaborate effective procedures that succeed in speech signal processing and expose human features. In this research we propose some techniques based on collective decision making to improve the performance of existing methods applied for human emotion recognition. To prove the effectiveness of the proposed approaches, we engage a number of multilingual corpora (German, English and Japanese). According to the results obtained, a high level of emotion recognition was achieved (up to a 9.93% relative improvement compared with conventional models). Keywords—speech-based emotion recognition; classifier; performance; collective decision making.
PROCESSING OF CARBON NANOTUBE EPOXY COMPOSITES

This paper gives a review of the processing of carbon nano-composites for improved mechanical properties. Carbon Nanotubes are recognized as potential fillers for reinforcement of bulk materials. Three types of nanotubes – single wall carbon nanotubes (SWCNT), multi-wall carbon nanotubes (MWCNT) and carbon nano-fibers (CNF) are being tried. The mechanical properties of the SWCNT are best, followed by MWCNT, and then the CNF. Epoxy resin is a matrix material that has wide application in industry. A perfect integration of nanotubes and epoxy would thus have many structural applications. Carbon nanotubes after synthesis occur in clumps and do not disperse easily. Also, they do not have any ‘chemical handles’ on their surface through which they can readily react with the matrix. The effect of both of the above mentioned factors is that nanotubes cannot be directly used with the matrix to get improved properties. Hence, there is a need to modify the surface properties of nanotubes for improved dispersion and better bonding with the matrix.
Directors’ and Officers’ Insurance and Opportunism in Accounting Choice

In this paper, the focus is on how excessive directorsâ€™ and officersâ€™ liability insurance coverage is associated with risk-taking behavior in financial reporting. This study examines the implications of two alternative hypotheses. The opportunism hypothesis predicts that the covered executive is overly buffered from recourse via securities litigation, which leads to aggressive accounting choices. The alternative hypothesis is the economic insurance hypothesis which predicts that firms will over-invest in directorsâ€™ and officersâ€™ liability insurance coverage independent of their aptitude for accounting manipulation because of the managersâ€™ risk aversion. Aggressive accounting is measured using regulatory accounting enforcement actions and earnings restatements. I find evidence consistent with the opportunism hypothesis in both the enforcement action and restatement setting, suggesting that officers rely on excessive insurance in making financial reporting decisions. The findings have implications for managerial private information and its impact on financial reporting decisions.
ArticleVision and hyper-responsiveness in migraineAmelia Aldrich 1

We investigated contrast processing in relation to visual comfort from coloured light in individuals with migraine. In Experiment 1, 24 individuals who experienced migraine with aura (MA), 15 migraine without aura (MO), and 23 healthy controls, identified which of four patterns, one in each quadrant, had the greatest contrast. Although there were no significant differences between groups, contrast discrimination was superior in the visual field affected by aura in all eight participants in whom the aura was consistently lateralised. In Experiment 2, 20 participants without aura and 20 controls selected comfortable light with a chromaticity close to the daylight (Planckian) locus, whilst 20 individuals with aura chose more strongly saturated colours, mostly distant from the locus. In Experiment 3, nine participants with consistently unilateral aura undertook the contrast discrimination task wearing (a) lenses that provided a comfortable colour of light and (b) grey lenses of similar transmission. With grey lenses, seven of the nine individuals with unilateral aura showed a superior performance in the affected field, as before. With lenses providing a comfortable colour, however, the performance was relatively poor for the nine individuals with unilateral aura, but not for the 10 controls. This was the case in both visual fields. The cortical hyper-responsiveness with which migraine is associated may improve the perception of contrast. The perception is poorer (and more normal) with ophthalmic lenses having a comfortable colour.
Operation scenario modeling of non-activation phase in ITER

The non-activation phase of operation in ITER research plan has two important roles. The first is commissioning of the system related to plasma control and safety including magnetic control, all installed heating, fueling and diagnostic systems with plasma. The second is the validation of the present models for predicting ITER operation. In this paper, the reasonable H/He plasma operational window for these purpose is discussed. As a result, the He operation has more extensive operational window because it has the lower density to avoid the excessive NBI shine-through limit and the higher critical density calculating by the L-H transition threshold power scaling. In that operational domain, the non-activation phase ITER scenario modeling is conducted by the robust integrated simulation based on the ASTRA transport code. The temperature profiles are calculated by the GLF model and the pedestal parameters are calculated by the statistical model with ITER EPED1 database.
An Electro Breakdown Damage Model for Granite and Simulation of Deep Drilling by High-Voltage Electropulse Boring

Electropulse rock breaking has wide application prospects in hard rock drilling and ore breaking. At present, there are no suitable physical mathematical models that describe electropulse boring (EPB) processes under confining pressures. In this paper, a high-voltage electropulse breakdown damage model is established for granite, which includes three submodels. It considers electric field distortions inside the rock, and an electric field distribution coefficient is introduced in the electro-breakdown model. A shock-wave model is also constructed and solved. To simulate the heterogeneity of rocks, EPB rock breaking in deep environments is simulated using the two-dimensional Particle Flow Code (PFC2D) program. The solved shock wave is loaded into the model, and confining pressure is applied by the particle servo method. An artificial viscous boundary is used in the numerical simulation model. Using this approach, a complete numerical simulation of electropulse granite breaking is achieved. Breakdown strength and the influences of physical and mechanical parameters on it are also obtained. Time-varying waveforms of electrical parameters are obtained, and the effect of confining pressure on EPB is also described.
‘This is what we’ve always wanted’: Perspectives on young autistic people’s transition from special school to mainstream satellite classes

Background & aims According to parents, teachers and policymakers alike, including autistic children and young people in mainstream schools is notoriously difficult – especially so for the significant minority of young people on the autism spectrum with additional intellectual, communication and behavioural needs. The current study sought to understand the perceived impact of one particular, emerging model of education, in which selected students from special schools are transferred to dedicated ‘satellite’ classes in local, mainstream partner schools, while continuing to receive the tailored curriculum and specialist teaching of the originating school. Methods We conducted interviews with London-based young autistic people (n = 19), their parents/carers and teachers to understand their experiences of transitioning from specialist to satellite mainstream provision. Results Participants overwhelmingly welcomed the prospect of transition and its perceived benefits in the short and longer term. Young people and families celebrated achieving access to ‘more normal places and things’, ‘seeing what others are doing’, and greater autonomy, without losing the trusted expert support of their former special school. Young people also felt a deep sense of belonging to their new mainstream school, despite only being minimally included in regular mainstream classes and activities. Teachers were equally positive and felt that their students had responded to higher expectations in their new mainstream schools, reportedly resulting in better behavioural regulation and more sustained attention in the classroom. Conclusions The strikingly positive evaluations provided by all participants suggest that this satellite model of education might have advantages for young autistic people with additional intellectual disability, when appropriate support extends across transition and beyond. Implications These findings shed light on the experiences of an under-researched group of autistic students and a specific model of education – following a needs-based perspective on inclusion – that seeks to extend their participation in local schools. Future research should examine the potential effects of satellite classrooms on the knowledge of, and attitudes toward, autism in non-autistic mainstream peers.
Conversion of Kitchen Waste into Biogas

----------------------------------------------------ABSTRACT-----------------------------------------------------Facing energy crisis and climate change, the world is in need of a green, efficient, carbonneutral energy source to replace fossil fuels. The search for energy alternatives involving locally available and renewable resource is one of the main concern of governments, scientists, and business people worldwide. Biogas, formed by anaerobic digestion of organic materials, makes sustainable, reliable and renewable energy possible. There is potential for biogas production from kitchen waste, and at the same time the waste themselves can be treated to minimize the environmental impact and provide nutrient rich organic fertilizer. The study’s main objective was to design an anaerobic digester which utilizes food waste to generate biogas for use in Kabete Technical Training Institute’s (KTTI) kitchen. The institute’s main source of energy was mainly wood fuel, supplemented with liquefied petroleum gas (LPG) which is very expensive. The amount of waste generated from the kitchen was found to be of sufficient quantity to generate enough biogas for use in the kitchen hence the level of biogas production would in turn mean that this technology could be a viable investment for the institute to make.
Chemical Interaction Between MgO Support and Iron Catalyst

In this paper the chemical interaction between catalyst and support has been studied to understand the observed different growth rate of CNTs in our previous paper. Both pure MgO and Mg(NO3)2 . 6H2O as sources of the MgO catalyst support and Fe2(SO4)3 · xH2O as the source of the Fe catalyst, were employed. A Fe catalyst supported on MgO has been synthesized using the wet impregnation method followed by calcination. To compare the catalyst grain size and its distribution, the sample were characterized by scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray powder diffraction (XRD) and BET specific surface area (SSA) measurement and X-ray photoelectron spectroscopy (XPS). XPS technique have utilized complementary to demonstrate the existence of chemical interaction between MgO support and Fe catalyst. Results revealed that the type of precursor used to prepare the support has a significant influence on the morphology of the support and the associated distribution of the Fe catalysts. The highest yield of MgFe2O4 phase was obtained using a pure MgO precursor which after calcination results in a homogenous distribution of nano-sized Fe particles over the support surface
A NAMED ENTITY RECOGNITION MODEL FOR TURKISH LECTURE NOTES IN HISTORY AND GEOGRAPHY DOMAINS

Varlik ismi tanima; dogal dil isleme ve metin madenciligi alanlarinin kapsaminda yer alan bir bilgi cikarimi gorevidir. Kapsam ve kullanilan metotlar acisindan, calismalar arasinda farkliliklar gorulse de temel olarak, bir metin icerisindeki kisi, yer, kurum-kurulus vb. belirten ifadelerin dogru sekilde tespit edilmesini hedefler. Bu calismada, Turkce yazilmis ders metinleri (tarih ve cografya alanlarinda) icin bir varlik ismi tanima yapisi gelistirilmistir. Tek basina ele aldigimizda bu yapi, bir bilgi cikarimi gorevi dogrultusunda ozellestirilmis bir projedir. Bunun yani sira calismanin egitimsel bir degeri de vardir; cunku sistemden beklenen sonuc, verilen ders metninin iceriginden anlamli kelime ya da kelime gruplari bulunmasidir ki; bu da farkli dersler ya da ders konulari icin terimler sozlugu yapilari olusturmak icin kullanilabilir. Olusturulan sozluklerin, bir ders metninin icerigindeki soru degeri tasiyabilecek ifadelerin tespitine ve sinav hazirlama surecine yardimci olmasi hedeflenmektedir. Bu dokumanda, varlik ismi tanima gorevi ve gorevin kapsami hakkinda genel bilgi verilmis; alanda yapilmis onceki calismalardan bahsedilmis; bu calisma dogrultusunda gelistirilen sistem tanitilmis; sistemin basarisi, yapilan deney sonuclari uzerinden degerlendirilmis ve gelistirme-iyilestirme olanaklari hakkinda yorumlar paylasilmistir.
EUROPEAN VOLATILITY TRANSMISSION WITH STRUCTURAL CHANGES IN VARIANCE

The aim of this study is to analyze the European transmission of information, through volatilities with structural changes in variance, for the stock indexes of principal European stock markets: UK, Germany, France, Italy and Spain, for European Union and Swiss as European zone no euro Our most significant contributions to this area of study are, firstly, the influence that the consideration of structural changes in the variance has in relation to the interaction between the main European stock indexes, through the study of volatility transmission In order to include structural changes in variance, we followed the methodology put forward by Sansó et al. (2002), which detects these changes endogenously. Although numerous studies have investigated the volatility spillover among international stock markets, this aspect has not been considered. Our results show the importance of taking them into consideration since they influence the schema of information transmission between markets. Secondly, the use of bivariate asymmetric GARCH models which allow for variation in correlation over time. This model has obvious advantages: market interactions can be investigated and analyzed in a one step estimation procedure, thus eliminating the need to use estimated regressors. Additionally, the hypothesis that innovations within and across markets influence volatility asymmetrically can be explicitly tested . Finally, we verify the effect of information between Spain versus the main European stock markets.
Eternal enemies, or incidental encounters? Structure and patterns of interspecific killing in Carnivora

Lethal interactions between carnivorans (interspecific killing) may influence their population dynamics, behavior, and other important aspects of their ecology. In this study, I expand upon previous research on the broad-scale patterns of interspecific killing in Carnivora (Palomares & Caro 1999, Donadio & Buskirk 2006) with a greatly expanded dataset (inclusion of scat and stomach data and more intensive sampling of the literature), and suggest avenues for future research. While like previous studies, I found a positive effect of relative body size between killer species and killed species on the likelihood of forming a killing interaction, I failed to find evidence that this effect had a body size ratio threshold above which interactions become less common, suggesting a greater role of non-competitive killing than previously believed. I also found evidence for a positive influence of range overlap and dietary overlap on species interactions, but found mixed effects of phylogeny. This study suggests that our previous understanding of the broad-scale dynamics interspecific killing in Carnivora was, due to limited sampling, incomplete in scope. Incidental killing, whereby killing interactions occur as a byproduct of opportunistic lethal encounters caused by the hyperpredatory behavior of carnivorans, has a number of interesting implications for our understanding of interspecies aggression, including research on intraguild predation and its effects.
CHAPTER 2 Skew Slash Family of Distributions 2 . 1

Symmetric distributions generalizing normality have got lot of attention in the statistical literature. Regression models applied in the field of biology, economics, psychology, sociology, need not obey Gaussian law in all situations. It is suggested that error structures in these cases should be handled beyond the normality frame work. Hence there is a need for constructing distributions that could describe symmetry, skewness and heavy tails observed in the data (eg., microarray gene expression, network delays, signals and noise, financial risk or interference which is impulsive in nature). One such extension is the class of standard slash (slash normal) distribution proposed by Kafadar (1982, 1988). The univariate slash distribution is defined as the ratio of a standard normal random variable to an independent uniform random variable. Slash distributions have heavier tails than