Miracle-dz/UniFAR-FTUs huggingface dataset:
NUMERISCH STABILE NORMIERUNG DES INDIREKT GESCHÄTZTEN BISPEKTRUMS

EINLEITUNG Klassische Ans tze der Bispcktralanalyse sind auf ein festes Analyseintervall bezogen und setzen u. a. Stationarit t der zu untersuchenden Signale voraus. Da Biosignalc diesen Anforderungen zumeist nicht gen gen, wurde eine neue Methode zur zeitvarianten Bispektralanalyse auf der Basis einer adaptiv rekursiven Sch tzung der Kumulantcn III. Ordnung entwickelt und i n [ l ] vorgestellt. Eine Quantifizierung der St rke quadratischer Phasenkopplungen setzt allerdings Signalamplitudenunabh ngigkeit voraus. Auf der Basis des direkten Zuganges (Periodogramm III. Ordnung) sind Bikoh renzsch tzungen seit langem bekannt [2, 3, 4]. Die N ormierungs verfahren des direkt gesch tzten Bispektrums fuhren aber zu numerischen Problemen beim indirekt gesch tzten Bispektrum, die eine Interpretation der Bikoh renzmatrix stellenweise unm glich machen. Da der dynamische Ansatz [1] auf der indirekten Sch tzung beruht, wird ein geeignetes Normierungsverfahren entwickelt und vorgestellt.
Quantities and Locations of Usher Plants in Sudan

In order to estimate the quantity of ushers (Calotropis procera) plants in Sudan, a simple study, based on choosing random areas (zones) each 4 square kilometers, was conducted. The country was divided into 4 regions. namely North, East, West and Middle. Each region was represented by 50 zones. The total number of usher shrubs in Sudan was estimated to be 1530666. Estimated yields, of usher fibres wood, seed oil and cake were 166, 69 and 88 tons, respectively. The industrial and economic potentials of usher were pinpointed and discussed.
The Sophistry of Guidelines: Revisiting Recipes for Color Use in Human-Computer Interface Design

A survey study of color guidelines for user-computer interface design was undertaken and assessed against relevant knowledge about the human perceptual system. The main problem found is that some guidelines are dissociated from knowledge of how the human perceptual system works in relation to the constraints of the computer as a medium for perception. The guidelines approach, whose goal is to produce straightforward, concise recommendations for a diverse audience, may encourage this situation. Some specific problems and gaps in color guidelines are discussed. An alternative approach based on gearing guidance to the difficulties and common problems faced by designers is sketched.
Special issue of HT'19 selected papers

Many hypertext publications mention Vannevar Bush’s Memex (Bush, 1945) as one of the original ideas of hypertext. Memex is an acronym for Memory Extender. One of its core features is to store “trails” of thoughts persistently over documents such that a user may follow them at a later point of time. Bush only described Memex, but never built it physically. This was the time before the rise of digital computers, and Bush’s machine was a mechanical device built around documents stored on microfiche. Bush’s ideas were been taken up again in the 1960s by hypertext pioneers such as Douglas Engelbart, Theodor Nelson, or Andries van Dam. Computers, although expensive, were already available at that time, making hypertext as software systems possible. This was a necessary prerequisite for further developments in the field. In fact, Nelson, who coined the term hypertext realised their necessity: “Let me introduce the word ‘hypertext’ to mean a body of written or pictorial material interconnected in such a complex way that it could not conveniently be presented or represented on paper. ” (Nelson, 1965) At that point of time, the focus in the field was primarily on nodes interconnected by links. Discussions took place mainly among academics—the industry was not yet broadly interested. The situation changed with the rise of personal computers, which were affordable by ordinary people and organisations, and by the 1980s, several hypertext applications have been developed by academics and software companies. It was a time with many competing hypertext approaches. For example, Eastgate Systems released Storyspace (Bernstein, 2002; Joyce, 1991), a hypertext system that offers a 2D space for writing hypertext fiction; Brown University developed Intermedia with the promise to provide link creation mechanisms that would be as easy as copy & paste (Meyrowitz, 1986, 1989); and the hypertext system Guide (Brown, 1987) was one of the first cross-platform hypertext applications that ran on Macintosh and Windows PCs. There were many other
In medio stat virtus: The importance of studying mediums in hypnosis research

ABSTRACT Most of the experimental investigations on hypnosis used to compare small samples of individuals with low or high responsiveness to hypnosis by systematically excluding medium responders. The present article underlines the limitations of this methodological approach that may have partially weakened the scientific impact of hypnosis research. In fact, the mediums-neglecting bias might be one of the reasons why some investigations suffer from low replicability and generalizability. Themes such as hypnotizability scales, suggestibility, statistical power, and research design are critically reviewed with the aim of proposing a more rigorous approach that boost up impact and reliability of hypnosis research. In particular, the recruitment of medium hypnotizables and the adoption of a within-instead of a between-subjects design currently seem to be some of the best recommendations for strengthening hypnosis research, as well as to renew the dialogue between clinical and experimental hypnosis.
Learn2Construct: An automatic ontology construction based on LDA from texual data

In recent years, the research on Ontology Learning has become a hot topic among researchers because of the exponential increase of the number of documents and textual data not only on the web but also in digital libraries. This has participated to the emergence of new computational tools and methods to deal with the automatic organization, representation, retrieval and exploration of large corpus in order to have a good way of organizing and managing huge volumes of data. LDA-based approaches have proven to provide the best result [18][16] [4]. However, they suffers to several limitations related to concept and relation extraction, as well as coping with the corpus evolution. In order to cope with these problems, we propose here a new solution named Learn2Construct which is an automatic ontology construction method based on topic modeling. Experiments have been conducted to measure the effectiveness of our solution and compare it to existing ones. The results obtained are more than satisfactory.
Genotype Imputation with Homomorphic Encryption

Genotype imputation is a technique used to determine unobserved genomic markers when sequencing genomic data. This is a cost effective method for sequencing a genome. Due to the large amount of personal identifiable information involved in genomic imputation, there is a rising concern for analysis of such nature to be secure and private. We describe a method using homomorphic encryption (HE) to perform genotype imputation in a secure and private setting. Our solution first involves training a logistic regression model and performing the imputation in the encrypted domain. We have implemented our solution over using the open sourced Homomorphic Encryption library, SEAL. We are able to impute 500 SNPs within 5 minutes, with an accuracy of 97.3%.
Comparison of Differences between Human Eye Imaging and HMD Imaging

As virtual reality (VR) headsets with head-mounted displays (HMD) have attracted more and more attention, new research questions have emerged. In virtual reality games, virtual reality movies or virtual reality simulations, maintaining a high degree of depth perception and minimizing visual discomfort is essential to improve the overall user experience. Proprioceptive cues, monocular cues, and binocular cues constitute the depth cues of visual perception, which accurately provide the depth information of objects in personal space. Proprioceptive cues include convergence and adjustment. Quite a few studies have proved that convergence and accommodation in VE exacerbate uncomfortable feelings. Monocular cues include occlusion, relative size of objects, texture fineness, variations of light and the shadows, optical thickness, perspective, etc. Monocular clues produce psychological depth cues, which can be affected by the texture mapping of objects and environment settings in the virtual environment. The binocular vision of the human eye enables users to perceive the depth of different objects in space. When both eyes observe the same target object in reality, the images formed on the retina are different due to the different lateral positions of the two eyes. The stimulus received by the retina is processed in the brain to generate stereo vision. The perception of objects generated by binocular vision is influenced by depth cues in environment. The difference in depth perception of virtual information leads to the separation of spatial perception, which makes it difficult to establish relevance with the reality operation mode. In this paper, the physiological characteristics of human eyes are studied, and visual environment provided by head-mounted displays (HMD) equipment are summarized. The limitations of visual images provided by HMD are obtained by comparing the differences. We discussed imaging mechanism of the stereo vision in HMD. By comparing the differences of stereo vision generated in HMD images and human eyes, this paper is aimed to provide theoretical suggestions for building a more realistic and immersive environment in VR.
Cross-Modal Learning of Housing Quality in Amsterdam

In our research we test data and models for the recognition of housing quality in the city of Amsterdam from ground-level and aerial imagery. For ground-level images we compare Google StreetView (GSV) to Flickr images. Our results show that GSV predicts the most accurate building quality scores, approximately 30% better than using only aerial images. However, we find that through careful filtering and by using the right pre-trained model, Flickr image features combined with aerial image features are able to halve the performance gap to GSV features from 30% to 15%. Our results indicate that there are viable alternatives to GSV for liveability factor prediction, which is encouraging as GSV images are more difficult to acquire and not always available.
Predictive Analytics of Machine Failure using Linear Regression on KNIME Platform

The failure of machines at oil and gas platforms that will temporarily stop oil production commonly happens. The failure may refer to the machine that has stopped working, is not working properly, or does not meet target expectations. In this research, we are assessing the state of the condition of a turbine generator. A turbine generator is a connection of a shaft of a steam turbine or gas turbine engine connected to a high-speed electric generator to generate electricity in the process of drilling and digging. Machine failure will cause loss to the oil and gas industry due to the interruption of oil production. Hence, the purpose of this study is to predict machine failure using linear regression on KNIME platform. By predicting machine time-to-failure using machine learning, maintenance can be scheduled and performed before failure occurs. Upon measuring the accuracy of the predicted model, the result will be visualized through a dashboard for user monitoring.
Mineralogy and mineral chemistry of quartz: A review

Abstract Quartz (trigonal, low-temperature α-quartz) is the most important polymorph of the silica (SiO2) group and one of the purest minerals in the Earth crust. The mineralogy and mineral chemistry of quartz are determined mainly by its defect structure. Certain point defects, dislocations and micro-inclusions can be incorporated into quartz during crystallisation under various thermodynamic conditions and by secondary processes such as alteration, irradiation, diagenesis or metamorphism. The resulting real structure is a fingerprint of the specific physicochemical environment of quartz formation and also determines the quality and applications of SiO2 raw materials. Point defects in quartz can be related to imperfections associated with silicon or oxygen vacancies (intrinsic defects), to different types of displaced atoms, and/or to the incorporation of foreign ions in lattice sites and interstitial positions (extrinsic defects). Due to mismatch in charges and ionic radii only a limited number of ions can substitute for Si4+ in the crystal lattice or can be incorporated in interstitial positions. Therefore, most impurity elements in quartz are present at concentrations below 1 ppm. The structural incorporation in a regular Si4+ lattice site has been proven for Al3+, Ga3+, Fe3+, B3+, Ge4+, Ti4+, P5+ and H+, of which Al3+ is by far the most common and typically the most abundant. Unambiguous detection and characterisation of defect structures in quartz are a technical challenge and can only be successfully realised by a combination of advanced analytical methods such as electron paramagnetic resonance (EPR) spectroscopy, cathodoluminescence (CL) microscopy and spectroscopy as well as spatially resolved trace-element analysis such as laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) and secondary-ion mass spectrometry (SIMS). The present paper presents a review of the state-of-the-art knowledge concerning the mineralogy and mineral-chemistry of quartz and illustrates important geological implications of the properties of quartz.
Emphasizing roles of BDNF promoters and inducers in Alzheimer's disease for improving impaired cognition and memory

Abstract Brain-derived neurotrophic factor (BDNF) is a crucial neurotrophic factor adding to neurons’ development and endurance. The amount of BDNF present in the brain determines susceptibility to various neurodegenerative diseases. In Alzheimer’s disease (AD), often it is seen that low levels of BDNF are present, which primarily contributes to cognition deficit by regulating long-term potentiation (LTP) and synaptic plasticity. Molecular mechanisms underlying the synthesis, storage and release of BDNF are widely studied. New molecules are found, which contribute to the signal transduction pathway. Two important receptors of BDNF are TrkB and p75NTR. When BDNF binds to the TrkB receptor, it activates three main signalling pathways-phospholipase C, MAPK/ERK, PI3/AKT. BDNF holds an imperative part in LTP and dendritic development, which are essential for memory formation. BDNF supports synaptic integrity by influencing LTP and LTD. This action is conducted by modulating the glutamate receptors; AMPA and NMDA. This review paper discusses the aforesaid points along with inducers of BDNF. Drugs and herbals promote neuroprotection by increasing the hippocampus’ BDNF level in various disease-induced animal models for neurodegeneration. Advancement in finding pertinent molecules contributing to the BDNF signalling pathway has been discussed, along with the areas that require further research and study.
Role of Flavonoids as Epigenetic Modulators in Cancer Prevention and Therapy

Epigenetic regulation involves reversible changes in histones and DNA modifications that can be inherited without any changes in the DNA sequence. Dysregulation of normal epigenetic processes can lead to aberrant gene expression as observed in many diseases, notably cancer. Recent insights into the mechanisms of DNA methylation, histone modifications, and non-coding RNAs involved in altered gene expression profiles of tumor cells have caused a paradigm shift in the diagnostic and therapeutic approaches towards cancer. There has been a surge in search for compounds that could modulate the altered epigenetic landscape of tumor cells, and to exploit their therapeutic potential against cancers. Flavonoids are naturally occurring phenol compounds which are abundantly found among phytochemicals and have potentials to modulate epigenetic processes. Knowledge of the precise flavonoid-mediated epigenetic alterations is needed for the development of epigenetics drugs and combinatorial therapeutic approaches against cancers. This review is aimed to comprehensively explore the epigenetic modulations of flavonoids and their anti-tumor activities.
Production of Recombinant Laccase From Coprinopsis cinerea and Its Effect in Mediator Promoted Lignin Oxidation at Neutral pH

Laccases are multi-copper oxidases that use molecular oxygen as the electron acceptor to oxidize phenolic and indirectly also non-phenolic substrates by mechanisms involving radicals. Due to their eco-friendliness and broad substrate specificity, laccases span a wide range of biotechnological applications. We have heterologously expressed a laccase from the coprophilic basidiomycete Coprinopsis cinerea (CcLcc9) in the methylotrophic yeast Pichia pastoris. The recombinant CcLcc9 (rCcLcc9) oxidized 2,6-dimethoxyphenol in the neutral pH range, and showed thermostability up to 70°C. The rCcLcc9 efficiently oxidized veratryl alcohol to veratraldehyde in the presence of low molecular weight mediators syringyl nitrile, methyl syringate and violuric acid, which are syringyl-type plant phenolics that have shown potential as natural co-oxidants for lignocellulosic materials. In addition, rCcLcc9 is able to depolymerize biorefinery hardwood lignin in the presence of methyl syringate and syringyl nitrile as indicated by gel permeation chromatography, and infrared spectral and nucleic magnetic resonance analyses. Furthermore, we showed that several added-value aromatic compounds, such as vanillin, vanillic acid, syringaldehyde, syringic acid and p-hydroxybenzoic acid, were formed during sequential biocatalytic chemical degradation of biorefinery lignin, indicating that rCcLcc9 harbors a great potential for sustainable processes of circular economy and modern biorefineries.
Editorial: Fungal Respiratory Infections in Cystic Fibrosis

1 Univ Angers, Univ Brest, GEIHP, SFR ICAT, Angers, France, 2 UK National Mycology Reference Laboratory, United Kingdom Health Security Agency South-West, Bristol, United Kingdom, 3 Medical Research Council Centre for Medical Mycology (MRC CMM), University of Exeter, Exeter, United Kingdom, 4 Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, 5 Molecular Mycology Research Laboratory, Centre for Infectious Diseases and Microbiology, Westmead Clinical School, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Westmead, Sydney, NSW, Australia, 6 Westmead Hospital (Research and Education Network), Westmead, NSW, Australia, 7 Westmead Institute for Medical Research, Westmead, NSW, Australia, 8 Curtin Medical School, Curtin University, Perth, WA, Australia
Polymers Blending as Release Modulating Tool in Drug Delivery

Different polymeric materials have been used as drug delivery vehicles for decades. Natural, semisynthetic, and synthetic polymers each have their own specific characteristics and, due to the physicochemical limitations of each polymer, tuning the release rate and targeting the active ingredient to a specific organ or site of action is a complicated task for pharmaceutical scientists. In this regard, polymer blending has been considered as an attractive approach to fabricate novel and unique drug delivery systems with modified physical and/or chemical characteristics. There are three major polymer blending approaches that are used for drug delivery purposes: physical mixtures, core-shell model, and block copolymer model. Each of these types of polymer blends could significantly affect the loading capacities and the kinetics of drug release from the relevant formulations. Drug release from these blended polymers can be tuned through the changes in temperature and pH of the environment, and physiochemical properties of the target organs. Furthermore, the possible molecular interactions among polymers and drug molecules can significantly affect the drug release profile from these blended polymeric micro- and nanocarriers. In this review, first of all, different types of polymers and their various applications in biomedical sciences have been discussed and smart or stimuli responsive polymers are introduced and categorized based on their nature. Then, the purpose of polymer blending in drug delivery systems has been discussed. Different types of polymer blends including physical mixtures, core-shell polymeric carriers, and block copolymers have been summarized with focus on the effect of polymer blending on encapsulated drug release profiles. Finally, the consequence of each blending approach on drug release profile and kinetics of drug release have been mentioned in tabular format.
Aid Fragmentation and Swedish Bilateral Development Assistance

A recently discovered problem concerning foreign development assistance is that of its fragmentation. The concept of aid fragmentation refers to the composition of the flow of aid into a recipient country in terms of its origin. Highly fragmented aid is by definition that which is made up by contributions from a large share of the total number of potential donors. Sufficiently high fragmentation it is argued, has adverse effects on the efficiency of aid in a number of ways, some of which are set out in this paper. During the Paris High-Level Forum of Aid Effectiveness in 2005 aspects relating to fragmentation was brought to discussion. Following the conference, the Swedish Ministry of Foreign Affairs initiated a process of implementing a new development assistance policy. By examining data on aid flows over recent years, I attempt in this paper to find indications of any changes in the fragmentation of bilateral aid following the rise in consciousness, focusing on partners of Sweden. In addition I try to establish whether the presence of Sweden as a donor in a recipient country has a significant influence on the level of aid fragmentation. Results lead to my conclusion that Sweden, and the better part of the aid community, still has a long way to go in the process of reforming foreign development assistance.
Functorial Semantics as a Unifying Perspective on Logic Programming

Logic programming and its variations are widely used for formal reasoning in various areas of Computer Science, most notably Artificial Intelligence. In this paper we develop a systematic and unifying perspective for (ground) classical, probabilistic, weighted logic programs, based on categorical algebra. Our departure point is a formal distinction between the syntax and the semantics of programs, now regarded as separate categories. Then, we are able to characterise the various variants of logic program as different models for the same syntax category, i.e. structure-preserving functors in the spirit of Lawvere’s functorial semantics. As a first consequence of our approach, we showcase a series of semantic constructs for logic programming pictorially as certain string diagrams in the syntax category. Secondly, we describe the correspondence between probabilistic logic programs and Bayesian networks in terms of the associated models. Our analysis reveals that the correspondence can be phrased in purely syntactical terms, without resorting to the probabilistic domain of interpretation.