Miracle-dz/UniFAR-FTUs huggingface dataset:
Heterogeneous Behavior for Public Identity

Social identity linkage across wholly totally different social media platforms is of essential importance to business intelligence by gaining from social data a deeper understanding and lots of correct identification of users. throughout this paper, we have a tendency to tend to propose a solution framework, HYDRA, that consists of three key steps: (I) we have a tendency to tend to model heterogeneous behavior by long (II) we have a tendency to tend to make structure consistency models to maximise the structure and behavior consistency on users’ core system across wholly totally different platforms, therefore the task of identity linkage could also be performed on groups of users, that's on the way facet the individual level linkage in previous study; and (III) we have a tendency to tend to propose a normalized-margin-based linkage operate formulation, and learn the linkage operate by multi-objective optimization where every supervised pair-wise linkage operate learning and structure consistency maximization ar conducted towards a unified social scientist optimum resolution. The model is in a position to influence forceful data missing, and avoid the curse-of-dimensionality in handling high dimensional thin illustration. intensive experiments on ten million users across seven standard social networks platforms demonstrate that HYDRA properly identifies real user linkage across totally different platforms from large wheezy user behavior information records, and outperforms existing progressive approaches by a minimum of 2 hundredth below totally different settings, and four times higher in most settings.
Forensic voice discrimination: The effect of speech type and background noise on performance

This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process which may lead to differences between this version and the Version of Record. Please cite this article as doi: 10.1002/acp.3478 This article is protected by copyright. All rights reserved. Forensic voice discrimination: The effect of speech type and background noise on performance Harriet M. J. Smith, Thom S. Baguley, Jeremy Robson, Andrew K. Dunn, and Paula C. Stacey Department of Psychology, Nottingham Trent University, UK Nottingham Law School, Nottingham Trent University, UK
Automatic Inspection of Defects in Plain and Texture Surfaces

The image processing used for visual inspection and quality control in a serial production is described in this paper. We used the discrete wavelet transform DWT in our failure detection algorithm. To achieve robustness as well as good sensitivity of the algorithm, we divide the images into segments. The difference of the wavelet coefficients maxima for the given segment for images of the tile with and without defects was used for defect detection. The analysis of detection capabilities is done for different segment sizes, different detection sensitivity levels DSL and for two orthogonal wavelets.
NOVEL WETLAND AND WATER BODY CHANGE DETECTION USING MULTI TEMPORAL HYPERSPECTRAL IMAGERY

Wetlands and water bodies are transitional lands between terrestrial and aquatic ecosystems that provide many advantages. The Earth has always been under the influence of population growth and human activities. This process causes the changes in land cover type especially in wetlands and water bodies’ area. For optimal management of the use of resources like wetlands and water bodies, it is necessary to be aware of these changes. Change detection and attribution of wetlands and water bodies change over time present additional challenges for correctly analyzing remote sensing imagery. Hyperspectral images currently have potential applications in many scientific areas due to their high spectral resolution and consequently their good information contents. The objective of this study is to propose procedure for automatic determining land surface changes within semi-arid wetland and surrounding upland areas using new method that include IR-MAD ,Z-score and Otsu algorithm for change detection by incorporating EO-1 Hyperion satellite hyperspectral imagery. The study area is Shadegan wetlands in south west of Iran in Khuzestan province. The most critical water resources of the province, are depleted and contain unprecedented levels of toxic waste. The lack of moisture in drying plains allows dust to rise before winds carry it away. In this study we used multi temporal hyperspectral images for monitoring the change occurred in these area. Results of this study showed that by incorporating this method we can automatically reveal the change maps in wetland and water bodies. Also, the results reveal the superiority of the implemented method to extract change map with overall accuracy by a margin of nearly 92% using multi temporal hyperspectral imagery. In addition, the proposed method compare with three different change detection method.
Towards a Formal Foundation of Cognitive Architectures

Cognitive architectures are an advantageous tool for creating cognitive models. They provide a framework integrating general cognitive structures and assumptions about the mind as for example the working memory, structural modularity or their interconnections. A vast number of cognitive architectures have been developed in the last decades. While the architectures realize the cognitive perspective, the formal foundation and similarities of cognitive architectures remain open. To identify the cognitive substrate of the architectures, we propose a generalized cognitive framework allowing to embed different cognitive architectures to analyze their properties and to have a common and formal ground for comparisons. We demonstrate our approach – as proofof-concept – by embedding the two most popular architectures, ACT-R and SOAR, and evaluate cognitive models for recognition memory in our approach. Potentials and limitations are discussed.
Travel Time Budget – Decomposition of the Worldwide

The individual mean travel time budget (TTB) has been hypothesised by Zahavi (1979) as a constant amount of time close to 1 hour per day. This TTB seems to be stable between different cities and between different time periods. Under the TTB stability hypothesis, travel time-savings are totally reinvested in transport. This reinvestment mechanism could then explain the urban sprawl, and give to the increased speeds all the responsibilities of the “urban transport diseases”. However, the TTB stability seems to be valid at the world aggregate level only. The paper proposes to explore finer scales of observation of the TTB: from the aggregate to the disaggregated levels of observation. First, a worldwide comparison of 100 cities is produced. Second a hazard based model for the TTB of the French city of Lyon is constructed. Hence, two opposite urban models appear: an extensive urban model of which development is based on extensive consumption of space and time resources, and an intensive urban model restricting its spatial and temporal extension. At the disaggregated level, the analysis identifies the relationships between the individual TTB and the socio-economic variables and the mobility and activities attributes. Finally, the model seems to indicate that the traditional hypothesis of the minimisation of the temporal costs of travel is unsuitable for the whole urban population.
Developing a Russian Database of Regular Semantic Relations Based on Word Embeddings

Recent computational semantic models yield high-quality results with regard to semantic relations extraction tasks, and thus may be applied as a baseline for semantic lexicon construction. Moreover, the stochastic information about lexical compatibility is useful for reducing ambiguity and detecting anomalies during syntactic parsing. We prove that this approach is reasonable and describe a Russian semantic lexical database, acquired in an unsupervised manner and employed as a semantic component of a syntactic parser and a fact extraction system.
The role of UV photolysis and molecular transport in the generation of reactive species in a tissue model with a cold atmospheric pressure plasma jet

Cold atmospheric pressure plasma jets (plasma) operated in ambient air provide a rich source of reactive oxygen and nitrogen species (RONS), which are known to influence biological processes important in disease. In the plasma treatment of diseased tissue such as subcutaneous cancer tumors, plasma RONS need to first traverse an interface between the plasma-skin surface and second be transported to millimeter depths in order to reach deep-seated diseased cells. However, the mechanisms in the plasma generation of RONS within soft tissues are not understood. In this study, we track the plasma jet delivery of RONS into a tissue model target and we delineate two processes: through target delivery of RONS generated (primarily) in the plasma jet and in situ RONS generation by UV photolysis within the target. We demonstrate that UV photolysis promotes the rapid generation of RONS in the tissue model target's surface after which the RONS are transported to millimeter depths via a slower molecular process. Our results imply that the flux of UV photons from plasma jets is important for delivering RONS through seemingly impenetrable barriers such as skin. The findings have implications not only in treatments of living tissues but also in the functionalization of soft hydrated biomaterials such as hydrogels and extracellular matrix derived tissue scaffolds.Cold atmospheric pressure plasma jets (plasma) operated in ambient air provide a rich source of reactive oxygen and nitrogen species (RONS), which are known to influence biological processes important in disease. In the plasma treatment of diseased tissue such as subcutaneous cancer tumors, plasma RONS need to first traverse an interface between the plasma-skin surface and second be transported to millimeter depths in order to reach deep-seated diseased cells. However, the mechanisms in the plasma generation of RONS within soft tissues are not understood. In this study, we track the plasma jet delivery of RONS into a tissue model target and we delineate two processes: through target delivery of RONS generated (primarily) in the plasma jet and in situ RONS generation by UV photolysis within the target. We demonstrate that UV photolysis promotes the rapid generation of RONS in the tissue model target's surface after which the RONS are transported to millimeter depths via a slower molecular process. Our resu.
Loss of Heterozygosity on Chromosome 13 Is Common Only in the Biologically More Aggressive Subtypes of Ovarian Epithelial Tumors and Is Associated with Normal Retinoblastoma Gene Expression1

We examined the frequenciesof loss of heterozygosityon chromosome 13in 77 primaryovarianepithelialtumorssubdividedintocystadenomas, tumors oflow malignant potential, low grade carcinomas, and high grade carcinomas. Such losses were found in approximately 50% of high grade carcinomas but were not detected in any of the other tumor subtypes (P < 0.0001), suggesting a strong association between these abnormalities and the high grade carcinoma phenotype. The tumors were also examined for abnormalities in expression ofthe retinoblastoma susceptibility gene (RB). This was assessed by immuaohistochemical staining of archival tumor sections with a polyclonal antibody directed against both the phosphory lated and the underphosphorylated forms of the RB protein. Most of the tumors, including those with allelic deletions on chromosome 13, showed normal RB nuclear protein staining patterns. We conclude that loss of RB expression is not a frequent event in primary ovarian carcinomas and that this gene is probably not the target of the frequent allelic deletions on chromosome 13 found in high grade ovarian carcinomas.
Short-Time Fourier Transform : STFT )は,時間窓をスライディングさせながら式 ( 1 )

The hammering test has been widely used for inspection of social infrastructures because of its accuracy and efficiency of operation. In order to automate and apply the method to actual inspection sites, it is important for the system to calibrate itself against various environmental noise sources, such as strong winds, that influence the accuracy of the acoustic diagnosis. In this paper, a boosting based diagnostic algorithm with an updation rule for the weak learners that constitute the whole defect detector is proposed. Both clean and defective hammering sounds are templatized in the frequency domain, and inner parameters of the weak learners are optimized by using the pair of frequency template vectors. Furthermore, a new updation rule for template vectors is proposed. In experiments, our method was applied to defect detection of concrete test-pieces having slant cracks, which are considered to be serious defects in inspection sites. From the results, the effectiveness of the proposed method was confirmed.
SIMULTANEOUS MEASUREMENT OF DISPERSION , SPECTRUM , AND DISTANCE WITH A FOURIER TRANSFORM SPECTROMETER

A Fourier transform spectrometer is used to simultaneously measure distance, dispersion and spectrum. It is shown that short coherence interferometry has the potential to measure the three-dimensional distribution of the spatial structure of a sample with a resolution determined by the coherence length of the light source, absorption spectrum with a resolution of 1 cm−1 and a dispersion with a resolution of up to 1025. © 1998 Society of Photo-Optical Instrumentation Engineers. [S1083-3668(98)01101-0]
Charge Stripper Ring for Cyclotron Cascade

In the multi-stage acceleration of heavy ions such as the acceleration at the RIKEN RI beam factory (RIBF), the electron stripping process with charge strippers is an inevitable process for the efficient acceleration. The efficiencies, however, for the charge-state conversion of very heavy ions are not so high with common charge strippers in the acceleration up to the energy around hundreds MeV/u. The total efficiency of two charge strippers for 238U acceleration at the RIBF is only 6%. It is a bottleneck for the intensity upgrade. In the present study, we designed high-efficient charge stripper rings which have applicability to the RIBF.
First-principles study of intrinsic point defects in ZnO: Role of band structure, volume relaxation, and finite-size effects

Density-functional theory (DFT) calculations of intrinsic point defect properties in zinc oxide were performed in order to remedy the influence of finite-size effects and the improper description of the band structure. The generalized gradient approximation (GGA) with empirical self-interaction corrections (GGA+U) was applied to correct for the overestimation of covalency intrinsic to GGA-DFT calculations. Elastic as well as electrostatic image interactions were accounted for by application of extensive finite-size scaling and compensating charge corrections. Size-corrected formation enthalpies and volumes as well as their charge state dependence have been deduced. Our results partly confirm earlier calculations but reveal a larger number of transition levels: (1) For both the zinc interstitial as well as the oxygen vacancy, transition levels are close to the conduction band minimum. (2) The zinc vacancy shows a transition rather close to the valence band maximum and another one near the middle of the calculated band gap. (3) For the oxygen interstitials, transition levels occur both near the valence band maximum and the conduction band minimum.
The Case of ConceptLivingTM

Recently, elderly housing in Sweden is problematic because, it does not fulfil the customer needs and expectations. This means there is need for improvement which requires a service innovation in the elderly housings. The purpose of this thesis is to enlarge the understanding and knowledge of the service innovation in the elderly housing. In the context of the research, initially the problems in the existing situation of elderly housings are examined. Regarding those problems, the research also investigates features of service innovations in the housing services for the elderly. This thesis is therefore intended to scrutinize the service innovation process in the elderly housing through a particular single case study. Since the thesis aims to indicate in-depth knowledge about a specific service innovation and a comprehensive summary of the case, a qualitative single case study approach was applied. During the research, data has been collected from literature, lecture presentations and semi-structured interviews. The interviews were conducted with four key persons of the case and three prospective customers of the ConceptLivingTM concept to comprehend perspectives about the existing state of elderly housing market, the concept, the service innovation process, idea generation phase, customer aspect, stakeholder involvement, intellectual property concerns and future insights about the service concept. The findings of the research showed that administrative & economic problems, personal problems and limited service options occur in the elderly housing market and to solve that, customer-centric, value-added, municipality-supported, need-based and technology-oriented housing concepts can be provided to elderly people. It is obvious that each service innovation has a unique process where the stakeholder and customer involvement appear from the phase of developing the idea. Lastly, idea development, intellectual property, profitability of the concept, common values and culture, communication and collaboration with stakeholders and customer aspect are important factors to consider during the process of service innovation.
Spillover effects of sustainable consumption: combining identity process theory and theories of practice

Abstract Work organizations that implement sustainability strategies can create supportive environments for the performance of sustainable routines. For instance, employers have the capacity to influence sustainable lifestyles of their employees by increasing spillover effects from workplaces to home settings. These circumstances provide a potential pathway to change routinized activities in different domains. We critically review sociological and psychological literature on practices of environmental relevance to better understand these spillover effects. These disciplines have contributions to make but are on their own insufficient to determine trajectories toward more sustainable (consumption) routines. This analysis thus considers both structural and individual dimensions of sustainable lifestyles. To advance analyses of spillover of routinized activities, we present a framework that combines theories of practice concepts (meanings, competencies, and material aspects) and principles of identity process theory (continuity, distinctiveness, self-esteem, and self-efficacy). Our framework aims to identify and assess spillover effects from the workplace to domestic settings. We show that work organizations can systematically provide the elements necessary for the performance of sustainable practices. The framework underpins methodological instruments to explain spillover effects (of sustainable consumption), equally encompassing individual and structural aspects.
THE INFLUENCE OF CORPORATE GOVERNANCE, OWNERSHIP STRUCTURE ON COMPANY VALUE WITH COMPANY SIZE AS MODERATION VARIABEL (AN EMPIRICAL STUDY ON MANUFACTURING COMPANIES LISTING IN INDONESIAN STOCK EXCHANGE

The research aimed at investigating the influence of the corporate governance (size of board of directors, proportion of independent of board of commissioners as proxy), ownership structure (managerial ownership, foreign ownership as proxy) on the company value, and finding out the influence of the company size moderation in relation to the corporate governance, ownership structure on the company value. The research population was all manufacturing companies registered in Indonesia Stock Exchange (ISE) as many as 143 companies. Samples were taken using the purposive sampling technique by the criteria determined. The samples obtained were as many as 96 companies during the observation period of 3 years. The data were analyzed using the multiple linear regression analysis and Moderated Regression Analysis (MRA). The research result indicates that the size of board of directors has the significant and positive influence on the company value, the proportion of independent board of commissioners does not have the significant effect on the company value, the managerial ownership does not have the significant impact on the company value, the foreign ownership has the significant and positive influence on the company value. The research indicates the empirical evidence that the company size moderates the corporate governance on the company value, whereas the company size can not moderate the ownership structure on the company value.
70 TWO COMPUTATIONAL GEOMETRY LIBRARIES : LEDA AND CGAL

Over the past decades, two major software libraries that support a wide range of geometric computing have been developed: Leda, the Library of Efficient Data Types and Algorithms, and Cgal, the Computational Geometry Algorithms Library. We start with an introduction of common aspects of both libraries and major differences. We continue with sections that describe each library in detail. Both libraries are written in C++. Leda is based on the object-oriented paradigm and Cgal is based on the generic programming paradigm. They provide a collection of flexible, efficient, and correct software components for computational geometry. Users should be able to easily include existing functionality into their programs. Additionally, both libraries have been designed to serve as platforms for the implementation of new algorithms. Correctness is of crucial importance for a library, even more so in the case of geometric algorithms where correctness is harder to achieve than in other areas of software construction. Two well-known reasons are the exact arithmetic assumption and the nondegeneracy assumption that are often used in geometric algorithms. However, both assumptions usually do not hold: floating point arithmetic is not exact and inputs are frequently degenerate. See Chapter 46 for details.
Posttranslational modification of histone 1.4 by SET7/9 and ARTD1

Proteins are important for the regulation of biochemical processes and are crucial for the structure and function of cells. Proteins are post-translationally often chemically modified, which regulates their function and enzymatic activities. The work presented in this thesis shows that the mono-methyltransferase SET7/9 modifies the linker histone H1.4 only at the C-terminal domain. Several lysine residues (K121, K129, K159, K171, K177 and K192) were identified to be methylated. SET7/9 only modified lysine residues at the terminal position of a given KAK motif. Also, the addition of DNA to the methylation reaction inhibited the modification of H1.4 by SET7/9. Expression analysis of GFP-tagged full length H1.4 or its C-terminal or N- terminal fragments in U2OS cells suggested that all fusion proteins localize to either hetero- or euchromatin in the nucleus. Furthermore, the ADP-ribosyltransferase ARTD1 modified several amino acid residues in the C-terminal domain of H1.4, a process that inhibited SET7/9-dependent methylation. This mutual exclusion of the two modifications suggests that post- translational modification of structurally close amino acids can influence each other and thereby regulate the functionality of proteins. Keywords: H1.4, SET7/9, ARTD1