Miracle-dz/UniFAR-FTUs huggingface dataset:
Designing Colour in Virtual Reality Comparing a Virtual Reality based and a Screen based Colour Design Method

Designing colours for architecture with digital tools is still a challenging topic. Especially for customers and students the perception of a full-scale coloured interior room is hard to imagine. This paper presents a software prototype and a small user study, which addresses the colour design process with professional digital tools and a virtual reality head mounted device (Oculus Rift DK2). The user can navigate within an imported three-dimensional model freely and change colour, texture and light properties with a real-time updated radiosity visualization. The presented user study compares a screen based working method with the developed virtual reality based design support and interaction method.
Text to 3 D Scene Generation

Creating 3D graphics is a difficult and time-consuming process. We see the need for a new paradigm in which the creation of 3D graphics is both effortless and immediate. Thus we propose a Text to 3d Scene generation system that incorporates user interaction. A user provides a natural language text as an input to this system and the system then identifies explicit constraints on the objects that should appear in the scene. From these explicit constraints system then uses various priors to identify implicit constraints on the objects. The system also identifies scene type from various constraints. Then candidate scene will be generated that will be continuously improved as per the user interaction and thus final scene will be rendered as an output.
Supporting User Roles in Ontology Fuzzification 1

Manual ontology development is clearly a strenuous task. Whilst a variety of ontological engineering methodologies exist, their actual application is far from trivial, mainly due to the widely diverse nature of the tasks involved. In this work we study these tasks and identify the different types of human experts that are best suited to perform each one. As a result, we present a cooperative version of an ontological engineering methodology, together with a graphical tool that supports it. Keywords-ontology development; domain expert; knowledge engineer; user roles; fuzzification;
Spectral properties of unbounded J-self-adjoint matrices

We study the spectrum of unbounded J-self-adjoint block operator matrices. In particular, we prove enclosures for the spectrum, provide a sufficient condition for the spectrum being real and derive variational principles for certain real eigenvalues even in the presence of non-real spectrum. The latter lead to lower and upper bounds and asymptotic estimates for eigenvalues. AMS Subject classification 2010: 47B50, 47A10; 47A56, 46C20, 49R05.
THE CHORUS EFFECT-SIMULATION OF MULTIPLE SOUND SOURCES PLAYING IN UNISON

The timbre of orchestral music or choir singing is rich and complex, distinguished from a single musical instrument or voice. The acoustic transformation from a single sound source to multiple sources playing in unison is referred to as chorus or ensemble effect. This project explores a method for simulating the chorus effect as a digital audio effect. The proposed method is based on a delay-line with multiple output taps as in the well-known chorus effect. However, the output taps are modulated in random patterns so as to create an uncorrelated mixture of input copies. In addition, the amount of detuning is dynamically adjusted by musical context such as onset times and vibrato of notes. The result of this approach is discussed and evaluated.
Allelic Diversity Revealed Through SSR Polymorphisms at the Locus Encoding HMG-CoA Reductase in Rubber ( Hevea brasiliensis )

This study was carried out to define the extent of allelic variation of 3-hydroxy-3-methylglutaryl-CoA reductase gene (HMGR) in wild Hevea accessions, based on SSR polymorphisms existing at their 3’-untranslated regions (UTRs). Existence of two microsatellite alleles and their repeat compositions was demonstrated earlier in cultivated rubber clones. Both alleles contained perfect poly (AG)n repeats interrupted by a short sequence of 12 nucleotides and allelic variation at this microsatellite locus was the result of repeat length polymorphisms. In wild populations of rubber, nine microsatellite alleles (‘A’ to ‘I’) were identified at the HMGR locus revealing a wide allelic diversity compared to cultivated clones. Out Allelic Diversity Revealed Through SSR Polymorphisms at the Locus Encoding HMG-CoA Reductase in Rubber (Hevea brasiliensis) By T. SAHA*), C. B. ROY1), M. RAVINDRAN, K. BINI and M. A. NAZEER Genome Analysis Laboratory, Rubber Research Institute of India, Kottayam 686 009, Kerala, India (Received 29th December 2005) 1) Present affiliation: Plant Pathology Division, RRII. *) Author for correspondence: Tel. : +91-481-2353311, Fax: +91481-2353327. E.mail: saha@rubberboard.org. in Saha et. al.·Silvae Genetica (2007) 56-2, 58-65 DOI:10.1515/sg-2007-0009 edited by Thünen Institute of Forest Genetics Unauthentifiziert | Heruntergeladen 31.08. 19 06:32 UTC 59 of nine, four alleles (‘B’, ‘C’, ‘D’ and ‘G’) were present in higher frequencies than the others. In total, 15 allelic combinations were noticed for HMGR among wild accessions and four of them were unique. Twenty-five out of 60 wild accessions were found to be homozygous for the above four alleles (‘BB’, ‘CC’, ‘DD’ and ‘GG’) and the rest were heterozygous, characterized by 11 different allelic combinations. Repeat-length polymorphisms were noticed in these four alleles prevailing among wild Hevea accessions. Genetic relatedness of Mato Grosso accessions with cultivated Hevea clones, as revealed through this study, is in agreement with earlier reports on phylogenetic studies using molecular markers. This work is a significant step towards understanding the functional variability of HMGR for latex production in Hevea brasiliensis.
Persistent Liquidity

Using US post-war data we find evidence of cointegration between the short term interest rate, inflation, unemployment and money supply growth. Rolling trace tests add robustness by showing lack of cointegration when money or one of the other variables are omitted. Significant non-linear dynamics are found with three endogenous Markovswitching regimes, interpreted as contractions, expansions, and "unconventional" periods. We interpret the results in terms of a persistent liquidity effect with distinct dynamics over time as regimes shift across normal business cycle fluctuations and rare events. JEL Classification: C32, E40, E52,
Resource Efficiency and Latency in Dynamic IP-over-WSON Networks utilizing Flexrate Transponders

Continuously increasing traffic volumes raise hardware requirements of core networks considerably. Dynamic network operation combined with the use of flexrate transponders promises a viable potential for improved efficiency in core network operation. In this paper, we analyze the additional topological flexibility offered by flexrate transponders based on a simple model which is then used in a dynamic network reconfiguration approach adapting the network periodically according to the given traffic demands. We evaluate the resulting resource efficiency in terms of required line cards and latency by event-driven simulations. Results show that the gains in topological flexibility in the presented approach do not offer any additional advantage and that the approach can incur increased transmission latencies which can be avoided by an extension at a cost in terms of reduced efficiency gains.
Automated Synthesis of Memristor Crossbar Networks 2019

The advancement of semiconductor device technology over the past decades has enabled the design of increasingly complex electrical and computational machines. Electronic design automation (EDA) has played a significant role in the design and implementation of transistor-based machines. However, as transistors move closer toward their physical limits, the speed-up provided by Moore’s law will grind to a halt. Once again, we find ourselves on the verge of a paradigm shift in the computational sciences as newer devices pave the way for novel approaches to computing. One of such devices is the memristor – a resistor with non-volatile memory. Memristors can be used as junctional switches in crossbar circuits, which comprise of intersecting sets of vertical and horizontal nanowires. The major contribution of this dissertation lies in automating the design of such crossbar circuits – doing a new kind of EDA for a new kind of computational machinery. In general, this dissertation attempts to answer the following questions: a. How can we synthesize crossbars for computing large Boolean formulas, up to 128-bit? b. How can we synthesize more compact crossbars for small Boolean formulas, up to 8-bit? c. For a given loop-free C program doing integer arithmetic, is it possible to synthesize an equivalent crossbar circuit? We have presented novel solutions to each of the above problems. Our new, proposed solutions resolve a number of significant bottlenecks in existing research, via the usage of innovative logic representation and artificial intelligence techniques. For large Boolean formulas (up to 128-bit), we have utilized Reduced Ordered Binary Decision Diagrams (ROBDDs) to automatically synthesize linearly growing crossbar circuits that compute them. This cutting edge approach towards flow-based computing has yielded state-of-the-art results. It is worth noting that this approach is scalable to n-bit Boolean formulas. We have made significant original contributions by leveraging
Justifying business intelligence systems adoption in SMEs: Impact of systems use on firm performance

To realize returns, mere use of business intelligence systems (BIS) after effective adoption is insufficient. It is essential for BIS use to also create a business value by generating an impact on firm performance. Existing BIS research merely focuses on adoption and adoption determinants, or at the most on the innovation usage as the last phase in the adoption process. In response, we developed a conceptual model for assessing the determinants of BIS impact on firm performance in SMEs. The model is based on the Diffusion of Innovation post-adoption phase of use, and the Resource-Based View, extended with our findings from the other IS/IT research literature. Our conceptual model encompasses two independent post-adoption variables of routine use and innovative use; three dependent variables of partial impacts on firm performance (impact on marketing and sales, impact on management and internal operations, impact on procurement); and an ultimate dependent variable of impact on firm performance. Drawing on the data collected from 181 small and medium enterprises (SMEs) our results provide valuable insights about how BIS usage influences firm performance, extending our understanding of this intriguing field of research. Implications of the findings are further discussed and practical implications for managers are provided.
An Approach to Portable Machine Physics Applications

Usually, shareable high level software (HLS) packages which perform machine physics calculations have to be run off-line on a specially prepared set of data. The programs that perform the necessary measurements contain explicit references to the underlying control system and are built with specific equipment in mind. Both reasons make it difficult to adopt existing HLS to another accelerator without substantial modifications. An approach to overcome these limitations has been attempted at ELETTRA, a 2 GeV electron storage ring. The HLS applications use a) a data structure which uniquely describes the accelerator and is dynamically generated at runtime from a dedicated database and b) a set of utility routines which transparently access the control system and perform machine physics related calculations. Both the data structure and the routines are based on common accelerator physics concepts and are not specific to ELETTRA. The user interface of the applications, which form a complete set of on-line commissioning and operations tools, is consistently realized with the X11/Motif toolkit and the code is written in the language C. Therefore, most of the applications, which total an effort of 10+ person-years, can easily be transferred to other accelerators as long as their control system uses UNIX workstations. The data structure, the utility routines and a generalization of the concepts needed to obtain a completely portable set of HLS applications are presented in this paper.
trategies of polymeric nanoparticles for enhanced internalization in ancer therapy

In order to achieve long circulation time and high drug accumulation in the tumor sites via the EPR effects, anticancer drugs have to be protected by non-fouling polymers such as poly(ethylene glycol) (PEG), poly(ethylene oxide) (PEO), dextran, and poly(acrylic acid) (PAA). However, the dense layer of stealth polymer also prohibits efficient uptake of anticancer drugs by target cancer cells. For cancer
Optimal Set Similarity Data-structures Without False Negatives IT University of Copenhagen

We consider efficient combinatorial constructions, that allow us to partly derandomize datastructures using the locality sensitive framework of Indyk and Motwani (FOCS ’98). In particular our constructions allow us to make Zero-Error Probabilistic Polynomial Time (ZPP) analogues of two state of the art algorithms for ‘Approximate Set Similarity’: This data-structure problem deals with storing a collection X of sets such that given a query set q for which there exists x ∈ P with |q ∩ x|/|q ∪ x| ≥ s1, the data structures return x′ ∈ P with |q ∩ x′|/|q ∪ x′| ≥ s2. The first algorithm by Broder et al. [? , ? ] introduced the famous ‘minhash’ function, which in the locality sensitive framework yields an nρb time, n1+ρb space data structure for ρb = (log 1/s1)/(log 1/s2). The second by Christiani et al. [? ] gives an n ρc time n1+ρc space data-structure for ρc = (log 2s1/(1 + s1))/(log 2s2/(1 + s2)). Both algorithms use Monte Carlo randomization, but we show that this is not necessary, at least up to no(1) factors. This settles an open problem from Arasu et al. [? ] and Pagh [? ] asking whether locality sensitive data-structures could be made exact or without false negatives other than for hamming distance, and whether a performance gap was needed in the exponent. The main approach in the thesis is to replace the ‘locality sensitive hash functions’ or ‘space partitions’ with ‘combinatorial design’. We show that many such designs can be constructed efficiently with the ‘multi-splitters’ introduced by Alon et al. [? ]. We further show that careful constructions of such designs can be efficiently decoded. We also investigate upper and lower bounds on combinatorial analogues of the minhash algorithm. This is related to the existence of small, approximate minwise hashing families under l∞ distance.
Turbulence measurements with the Correlation Electron Cyclotron Emission ( CECE ) diagnostic in TCV

The correlation ECE (CECE) diagnostic in TCV has been substantially upgraded. In particular a new upper lateral, steerable line of sight [1] has been installed, and it is shared with a reflectometer: this allows the design of discharges where electron temperature and density fluctuations are measured simultaneously in the same plasma volumes. Moreover the intermediate frequency section of the radiometer has been expanded with six frequency tunable YIG filters. This grants extreme flexibility in the choice of the measurement locations. This upgraded system has been used for the study of electron temperature fluctuations over the 0.2 < ρψ < 0.9 range in discharges with triangularity δ varying between -0.6 and 0.6 but comparable collisionality profiles. The results show that the relative fluctuations amplitude δTe/Te increases with the normalized minor radius and with triangularity changing from negative to positive. In particular it was observed that the difference in relative fluctuations amplitude between positive and negative triangularity persists also for ρψ < 0.5 where the effects of shaping are no longer present [2]. Further studies will be performed on the effects of various parameters on turbulence properties: in particular the electron cyclotron resonance heating (ECRH) and the neutral beam injector (NBI) systems of TCV will be exploited to study the effect of varying Te/Ti ratio on fluctuations spectra and relative amplitude over a large fraction of the radial profile. These experiments will be accompanied by local, linear gyrokinetic simulations run with the GENE code to verify the presence of transitions between different turbulence regimes when varying these parameters.
Calculate Euclidean Distance for Distributed Environment Using Weka Code

This work attempts to analyze how the Euclidean Distance is calculated in Weka software. An attempt is made to analyze the existing Java code and alter it for executing it in a Distributed Environment. Keywords—Distributed Processing of Euclidean Distance, Euclidean Distance in Weka, Clustering in Weka using Euclidean Distance.
Reducing neighbor discovery latency in docking applications

Neighbor discovery is important for docking applications, where mobile nodes communicate with static nodes situated at various rendezvous points. Among the existing neighbor discovery protocols, the probabilistic methods perform well in average cases but they have aperiodic, unpredictable, and unbounded discovery latency. Yet, deterministic protocols can provide bounded worst-case discovery latency by sacrificing the average-case performance. In this study, we propose a mobility-assisted slot index synchronization (MASS), which is a new synchronization technique that can improve the average-case performance of deterministic neighbor discovery protocols via slot index synchronization without incurring additional energy consumption. Furthermore, we propose an optimized beacon strategy in MASS to mitigate beaconing collisions, which can lead to discovery failures in situations where multiple neighbors are in the vicinity. We evaluate MASS with theoretical analysis and simulations using real traces from a tourist tracking system deployed at the Mogao Grottoes, which is a famous cultural heritage site in China. We show that MASS can reduce the average discovery latency of state-of-the-art deterministic neighbor discovery protocols by up to two orders of magnitude.
Primary healthcare system performance in low-income and middle-income countries: a scoping review of the evidence from 2010 to 2017

Introduction The 2018 Astana Declaration reaffirmed global commitment to primary healthcare (PHC) as a core strategy to achieve universal health coverage. To meet this potential, PHC in low-income and middle-income countries (LMIC) needs to be strengthened, but research is lacking and fragmented. We conducted a scoping review of the recent literature to assess the state of research on PHC in LMIC and understand where future research is most needed. Methods Guided by the Primary Healthcare Performance Initiative (PHCPI) conceptual framework, we conducted searches of the peer-reviewed literature on PHC in LMIC published between 2010 (the publication year of the last major review of PHC in LMIC) and 2017. We also conducted country-specific searches to understand performance trajectories in 14 high-performing countries identified in the previous review. Evidence highlights and gaps for each topic area of the PHCPI framework were extracted and summarised. Results We retrieved 5219 articles, 207 of which met final inclusion criteria. Many PHC system inputs such as payment and workforce are well-studied. A number of emerging service delivery innovations have early evidence of success but lack evidence for how to scale more broadly. Community-based PHC systems with supportive governmental policies and financing structures (public and private) consistently promote better outcomes and equity. Among the 14 highlighted countries, most maintained or improved progress in the scope of services, quality, access and financial coverage of PHC during the review time period. Conclusion Our findings revealed a heterogeneous focus of recent literature, with ample evidence for effective PHC policies, payment and other system inputs. More variability was seen in key areas of service delivery, underscoring a need for greater emphasis on implementation science and intervention testing. Future evaluations are needed on PHC system capacities and orientation toward social accountability, innovation, management and population health in order to achieve the promise of PHC.
Sexual motivation and the duration of partnership 1 SEXUAL MOTIVATION AND THE DURATION OF PARTNERSHIP

The variation of sexual motivation with duration of partnership is analyzed in data from a survey of German students. The sample of N=1865 includes only students aged 19-32 who reported to be heterosexual and to live in a steady partnership. Main results are: (1) sexual activity and sexual satisfaction decline in women and men as the duration of partnership increases; (2) sexual desire only declines in women; (3) desire for tenderness declines in men and rises in women. Since these results are based on crosssectional data, a longitudinal explanation is precarious. Individual differences in mating strategy associated with the probability of having a partnership of shorter or longer duration at the time of the survey may account for some part of the findings. This possibility set aside, post hoc explanations for the results as reflecting a modal time course of partnership are evaluated with regard to habituation, routine, gender role prescriptions, and polarization of roles. In addition, an explanation from evolutionary psychology is offered, entailing the following ideas: The psychological mechanisms of attachment in an adult pair bond have evolved from the parent-child bond. Due to this non-sexual origin, a stable pair bond does not require high levels of sexual desire, after an initial phase of infatuation has passed. Nevertheless, male sexual desire should stay at a high level because it was selected for in evolutionary history as a precaution against the risk of sperm competition. The course of female sexual desire is assumed to reflect an adaptive function: to boost attachment in order to establish the bond.
Computational Analysis of Writing Style in Digitised Manuscripts

Computational Analysis of Writing Style in Digitised Manuscripts The goal of this dissertation is to develop a novel computational method capable of analysing the handwriting styles in digitised manuscripts in order to provide supporting information for the task of handwriting style identification. We collected and analysed the requirements from selected sub-projects within the Sonderforschungsbereich SFB 950 “Manuscript Cultures in Asia, Africa and Europe” regarding the problem of handwriting style identification. Then we analysed the state-of-the-art methods to find a starting point for the development of a novel method in order to fulfil these requirements. In order to analyse the handwriting styles in digitised manuscripts, we developed a classifier for offline, text-independent, and segmentation-free writer identification based on the Local Naı̈ve Bayes Nearest-Neighbour (Local NBNN) classifier. Due to scarce data, our proposed method is a learning-free approach, which takes into consideration the particularity of handwriting patterns by adding a constraint to prevent the matching of irrelevant keypoints. Furthermore, a normalisation factor is proposed to cope with the prevalent problem of unbalanced data in our case of writing style analysis of digitised manuscripts. The performance of our proposed method has been evaluated using several public datasets, both contemporary and historical, of different writing