Miracle-dz/UniFAR-FTUs huggingface dataset:
Mikrofalowy generator losowych ciągów binarnych – konstrukcja, oprogramowanie i dowód bezpieczeństwa

The article presents a description of electronic and programming solutions for a hardware, microwave random binary sequences generator with an output bit rate of 1 Gbps. Particular attention was paid to the problems of programmatic handling of string processing processes with such a high throughput. Have been described the method of measuring and verifying the entropy of the generated strings and presents a conditional, cryptographic proof of their security. ( Microwave random binary sequence generator – design, software and security proof .)
USE OF IBA TECHNIQUES FOR THE MEASUREMENT OF OXIDATION PROCESSES IN SIALON CERAMICS

Sialon ceramics (Si-Al-O-N) are high performance engineering materials used as cutting tools and wear parts whose performance may be compromised by high temperature oxidation. Ion Beam Analysis (IBA) techniques, coupled with X-ray Diffraction, have been used to monitor oxidation processes in dense bodies of α/β-sialon, X-sialon and O-sialon subjected to heat treatment schedules in air to induce surface oxidation. This has permitted depth profiling of Si, Al, Y, O, & N in the sialon bodies, enabling direct comparison of oxidation resistance to be made between the different sialon compositions.
Adaptive Android APKs Reverse Engineering for Features Processing in Machine Learning Malware Detection

The key component that makes the detection of android malware possible is the availability of the right triggers and pointers, which are found in the Android application packages, known as features or attributes. These are fundamental in the training of the different machine learning algorithms to produce the required detection model. The process of extracting these attributes or features, from the Android application packages, is known as reverse engineering. This paper delved into the experimental detail processes of applying reverse engineering procedure, using Sublime Text 2 and Androguard Plugin, on Android Application packages for the extraction of, particularly permissions, which are the targeted features. The study further discussed the cleaning stages, using NotePad++, Microsoft Excel Worksheet, and MS Word, to sort out all the relevant and important features by removing all the noisy ones. A total of 1500 Android apps were downloaded from both benign and malicious sources and used for the experiment. The cleaned or important features extracted from these application packages at the end of the reverse engineering processes are 162 in total and these were further used to form a feature binary matrix of size 1500 by 163 (including the class features).
In the Hand and Mind: The Intersection of Loose Parts and Imagination in Evocative Settings for Young Children

Abstract:The informal learning field has just begun to document the issues and significance of design in outdoor learning environments. The inclusion of movable elements, otherwise known as “loose parts,” in outdoor exhibitions for young children increases engagement and expands the possibilities for creativity. The author reflects on two exhibitions, Tot Spot and Lookout Cove at the Bay Area Discovery Museum in Sausalito, California, and looks at how outdoor exhibit components with loose parts work in combination with thematic evocative environments to stimulate focused experimental inquiry and imaginative social play. Both exhibitions have been the subjects of studies looking at how setting design and affordances influence visitor behavior and understanding. These research studies are noteworthy in their ambitions, design and the degree to which they were successful in reaching their audience and stated goals.
Quel classement syntaxique pour les « marqueurs discursifs », « mots-phrases » et autres « inserts » ? Prédicatifs et locutifs

Cet article concerne la classification au sein des parties du discours du francais contemporain de mots qui trouvent des appellations diverses selon les approches ; p.ex. interjections, mots-phrases (Tesniere), marqueurs discursifs (dans les etudes semantico-pragmatiques) ou encore inserts (Biber). Les mots phrases tels que oui ou voila appartiennent a une classe dont les formes verbales indicatives sont les representants canoniques et que nous nommons predicatifs, tandis que les autres, principalement les interjections et les inserts, appartiennent a une classe que nous nommons locutifs. Ces derniers forment des noyaux au niveau macrosyntaxique (Blanche-Benveniste et al.) et portent une visee illocutoire intrinseque (Austin). L’integration des locutifs au niveau de la syntaxe rectionnelle, dans le systeme de la translation de Tesniere est etudiee, en montrant notamment que les conjonctions ou pronoms interrogatifs et exclamatifs sont autant de translatifs en locutifs.
Increased bulb yield following seed coating of radish ( Raphanus sativus L.) with selected isolates of Trichoderma species in soil naturally infested with Rhizoctonia solani

Red radish ( Raphanus sativus ) is highly susceptible to the soil-borne fungus Rhizoctonia solani , which can cause severe crop losses. In a glasshouse experiment, untreated seeds of radish cvs. French Breakfast and Red Round were grown in potting mix where R. solani inoculated wheat-bran was added at rates of 0.25, 0.5 and 1.0 g per 100 g potting mix. Seedling emergence was reduced by one third and two thirds respectively by the two higher inoculum rates, and final plant numbers were ca. 20%, 50% and 80% less than in the uninoculated control. The ability of T richoderma spp. to increase radish yields by limiting the damage caused by R. solani has long been known but has not been evaluated in New Zealand. Inoculum of each of four Trichoderma spp. isolates
Reconhecimento de Entidades Mencionadas (Obra, Valor, Relac ˜ oes de Parentesco e Tempo) e Normalizacao de Express ˜ oes Temporais

This document stands for Named Entity Recognition under the categories Work of Art (Obra), Value (Valor), Relatives (Relações de Parentesco) and Time (Tempo), for portuguese language. Named Entity Recognition is a Natural Language processing task. It can help Question-Answering, Information Extraction and Sumarization systems development by providing useful and structured linguistic information. We also attempt to normalize time expressions such as 24 de Novembro de 2005 (24th November, 2005) and próximo dia (next day). Time normalization is about converting time expressions’ values to a standard format allowing this information to be shared between different systems. This document presents the adopted proceedings for the recognition of named entities and for the normalization of time expressions. Palavras Chave Keywords
Attitudes about Cigarette Smoking, Perceived Consequences of Smoking, and Seeking Assistance with Cessation among Black and White Cigarette Smokers: A Qualitative Study

Introduction Research has identified significant racial differences in cigarette smoking behavior, associated disease risk, likelihood of cessation, and mortality from smoking-related diseases. The current study assessed, via qualitative narrative analysis, racial differences in participants' motivations for smoking, perceived consequences of smoking, and how participants deal with cravings/withdrawal, as well as thoughts and feelings about quitting, seeking assistance with quitting, and the importance of social support in quitting. Methods Semistructured interviews were conducted with 11 Black and 11 White cigarette smokers. Data were analyzed using the Thematic Networks Analysis process, which entailed coding the data and constructing thematic networks by identifying basic and organizing themes. Results While there were no descriptive racial differences identified in participants' motivation for smoking or perceived consequences of smoking, differences existed between Blacks and Whites in terms of approaches in dealing with smoking cravings and withdrawal, perceived self-efficacy in controlling cravings, preferred methods of learning about and receiving smoking cessation assistance, and overall preference for receiving cessation-related support. Conclusions Further investigation is needed into racial differences in methods to deal with cigarette cravings and withdrawal, preferences for receiving cessation information, and social support for cessation. This research will further develop our understanding of and ability to address factors underlying racial disparities in smoking behavior and cessation, as well as inform the development of future smoking cessation interventions.
CLINICO-RADIOGRAPHIC EVALUATION OF GUIDED TISSUE REGENERATION USING COLLAGEN MEMBRANE AND BIPHASIC CALCIUM PHOSPHATE IN TREATMENT OF INTRABONY PERIODONTAL DEFECTS

Background: The ideal result of successful periodontal therapy is periodontal regeneration. Guided tissue regeneration is considered currently as gold standard for periodontal regeneration. Poor mechanical properties, biomaterials instability and lack of biocompatibility of regenerative membrane alone led to direct use of bioactive materials in defect area. So, this study was intended towards evaluation of effectiveness of resorbable membrane with bioactive molecule containing biphasic calcium phosphate determined by amount of bone fill both clinically and radiographically. Methods: A total of 20 intrabony defects from sixteen patients were selected. The study designed was Quasi experiment, a quantitative non randomized experimental trial. The clinical parameters like Plaque index, Gingival index, Pocket probing depth, Amount of Gingival recession and relative attachment level were recorded at baseline and after 6 months by using acrylic surgical stent following periodontal access flap surgery along with use of collagen membrane and alloplast bone graft. Radiographic parameters were taken using Orthopantomograph for measuring the radiographic bone fill at baseline and after 6 months. Data were analyzed using paired t-test and Wilcoxon sign rank test. Results: All the parameters post operatively were statistically significant. Clinically, gain in attachment was 2.1±1.25mm and pocket reduction was 3.35±1.39mm whereas linear radiographic bone fill was found to be 2.81±1.43mm. However, gingival recession was found to be increased post-operatively. Conclusions: The current study showed combination of bone alloplast and regenerative membrane yields promising results in treatment of human intrabony periodontal defects.
Cloud service for authentication of a person based on their electrocardiogram

Telemedicine grows faster with each year. In scope of it new technologies have been created to solve information communication problems. One of them is distance monitoring which requires electrocardiogram analysis. In this case it is important to confirm that the transferred electrocardiogram through information channels belongs to the patient. Researchers from different countries work on this problem. They suggest different methods of authentication by electrocardiogram. The goal of this work is to suggest a prototype of a service that could be used to authenticate electrocardiograms. The paper describes which algorithms have been used to build authentication technology and how it was implemented. There is a short history of built applications. It shows their structures and the purpose. The recently developed system is a prototype to authentication service. It performs registration of new electrocardiograms which is the most time consuming process in authentication. The paper describes the architecture of the system and shows the result of executed experiments. The results show that there is a performance issue with the machine learning library ML.NET. When a lot of cores are allocated to one machine learning instance the overheads highly decrease the overall experiment time. These experiments confirmed Amdahl’s law. Nevertheless, an architecture was found where experiments took the least time for execution. Knowing the issue with the machine learning library, a new architecture setup was suggested and will be implemented in future works. Besides, attention is paid on how developed service should help researchers to improve the technology. The main idea of the system is using one service for developing and testing the technology. That means we can be sure that the cloud service that runs on production would behave the same as in the research phase.
Decomposition techniques for support vector machines training and applications

The theory of the Support Vector Machine (SVM) algorithm is based on statistical learning theory and can be applied to pattern recognition and regression. Training of SVMs leads to either a quadratic programming (QP) problem, or a linear programming (LP) problem. This depends on the specific noun that is used when the distance between the two classes is computed. l1 or l∞ norm distance leads to a large scale linear programming problem in the case where the sample size is very large. We propose to apply the Benders Decomposition technique to the resulting LP for the regression case. In addition to this, other decomposition techniques like support clusters and bagging methods have been developed. Also, a very efficient data preprocessing method for SVM which is called γ-SVM has been developed. This method reduces the size of the training set and preserves the important data points which are high candidates as support vectors for defining the decision function. Comparisons with other decomposition methods such as SVMTorch and SVMFu reveal that γ-SVM, support clusters, subsampling and bagging methods are more efficient in terms of CPU time. γ-SVM method outperforms SVMFu and SVMTorch for generalization error. In the case of support clusters, subsampling and bagging methods, generalization error is close or higher than SVMFu and SVMTorch. Some information is lost for speeding up the algorithm. SVM regression has been applied to an option pricing model and prediction of S&P 500 daily return. Comparisons with multilayer perceptron and radial basis function networks is also presented.
Preferential Belief Change Using Generalized Epistemic Entrenchment

A sentence A is epistemically less entrenched in a belief state K than a sentence B if and only if a person in belief state K who is forced to give up either A or B will give up A and hold on to B. This is the fundamental idea of epistemic entrenchment as introduced by G~denfors (1988) and elaborated by Gardenfors and Makinson (1988). Another distinguishing feature of relations of epistemic entrenchment is that they permit particularly simple and elegant construction recipes for minimal changes of belief states. These relations, however, are required to satisfy rather demanding conditions. In the present paper we liberalize the concept of epistemic entrenchment by removing connectivity, rainimality and maximality conditions. Correspondingly, we achieve a liberalization of the concept of rational belief change that does no longer presuppose the postulates of success and rational monotony. We show that the central results of Gardenfors and Makinson are preserved in our more flexible setting. Moreover, the generalized concept of epistemic entrenchment turns out to be applicable also to relational and iterated belief changes.
A parameter estimation algorithm for nonlinear multivariable systems subject to bounded disturbances

In this note, a robust recursive algorithm is derived for identification of nonlinear multivariable systems with unknown by bounded disturbances. Particular emphasis is given to the design of a weighing matrix that ensures consistency of the estimated parameters with the input-output data and the noise constraints, and improves convergence properties. Sufficient conditions for local asymptotic convergence of the algorithm are established. The effectiveness of the proposed algorithm is demonstrated through a numerical example.
Multi-material plastic part design via the level set shape and topology optimization method

This work presents a new multi-material level set topology optimization method which is developed especially for designing plastic parts. Instead of representing the structure using multiple level set functions, this new method employs only one level set function to describe the material/void interface. The injection moulding filling simulation is used to determine the material/material interfaces. Because plastic parts are targeted, domain-specific knowledge is carefully investigated to improve the optimization algorithm. Both homogeneous and heterogeneous fibre-reinforced plastics are considered as potential material phases. For the latter, one extra design freedom, fibre orientation distribution, is introduced. Instead of generating incremental interior voids, which complicates the mould design and part ejection, shape-fixed interior voids could be predefined inside the design domain for functional or assembly purposes. This is represented by an additional level set function. A few numerical examples are studied to demonstrate the effectiveness of the proposed method.
Robust confidence intervals for causal effects with possibly invalid instruments

Instrumental variables have been widely used to estimate the causal effect of a treatment on an outcome. Existing confidence intervals for causal effects based on instrumental variables assume that all of the putative instrumental variables are valid; a valid instrumental variable is a variable that affects the outcome only by affecting the treatment and is not related to unmeasured confounders. However, in practice, some of the putative instrumental variables are likely to be invalid. This paper presents a simple and general approach to construct a confidence interval that is robust to possibly invalid instruments. The robust confidence interval has theoretical guarantees on having the correct coverage. The paper also shows that the robust confidence interval outperforms traditional confidence intervals popular in instrumental variables literature when invalid instruments are present. The new approach is applied to a study of the causal effect of income on food expenditures.
ECG Data Analysis

Any biological signal has the specialty over the other physical signals in terms of the remoteness of their source. As the analysis of biological signal plays an important role in medical decision making, the subject information should be accurate and reliable. Though these types of signals are better studied by trained and experienced medical practitioners, long term continuous monitoring and automatic decision making is better done by a computerized expert system. So it becomes a part of engineering under automatic signal processing and analysis studies. ECG being the most vital physiological signal, its acquisition technique, noise and artifacts elimination methodologies are discussed in this chapter. A brief description on automatic classification techniques is also given
Pure Nash Equilibrium in A Capacitated Resource Allocation Game with Binary Preferences

We consider a resource allocation game with binary preferences in which each player as a node of an undirected unweighted network is trying to minimize her cost by caching an appropriate resource. Using an ordinal potential function, we propose a polynomial time algorithm to obtain a pure-strategy Nash equilibrium when the number of resources is limited or the network has a high edge density with respect to the number of resources. Moreover, we provide an algorithm to approximate any pure-strategy Nash equilibrium of the game over general networks, and extend our results to games with arbitrary cache sizes. Finally, we make a comparison between graph coloring and the Nash equilibrium points.
Mapping patient interactions in psychiatric presentations to a tertiary emergency department

Reliable assessment of suicide and self-harm risk in emergency medicine is critical for effective intervention and treatment of patients affected by mental health disorders. Teams of clinicians are faced with the challenge of rapidly integrating medical history, wide-ranging psychosocial factors, and real-time patient observations to inform diagnosis, treatment and referral decisions. Patient outcomes therefore depend on the reliable flow of information though networks of clinical staff and information systems. We studied information flow at a systems-level in a tertiary hospital emergency department using network models and machine learning. Data were gathered by mapping trajectories and recording clinical interactions for patients at suspected risk of suicide or self-harm. A network model constructed from the data revealed communities closely aligned with underlying clinical team structure. By analysing connectivity patterns in the network model we identified a vulnerability in the system with the potential to adversely impact information flow. We then developed an algorithmic strategy to mitigate this risk by targeted strengthening of links between clinical teams. Finally, we investigated a novel application of machine learning for distinguishing specific interactions along a patient's trajectory which were most likely to precipitate a psychiatric referral. Together, our results demonstrate a new framework for assessing and reinforcing important information pathways that guide clinical decision processes and provide complimentary insights for improving clinical practice and operational models in emergency medicine for patients at risk of suicide or self-harm.
The Role of Oestrogen in Female Skeletal Muscle Ageing: A Systematic Review

Ageing is associated with a loss of skeletal muscle mass and function that negatively impacts the independence and quality of life of older individuals. Females demonstrate a distinct pattern of muscle ageing compared to males, potentially due to menopause where endogenous sex hormone production declines. This systematic review aims to investigate the current knowledge about the role of oestrogen in female skeletal muscle ageing. A systematic search of MEDLINE complete, Global Health, Embase, PubMed, SPORTDiscus, and CINHAL was conducted. Studies were considered eligible if they compared a state of oestrogen deficiency (e.g. postmenopausal females) or supplementation (e.g. oestrogen replacement therapy) to normal oestrogen conditions (e.g. premenopausal females or no supplementation). Outcome variables of interest included measures of skeletal muscle mass, function, damage/repair, and energy metabolism. Quality assessment was completed with the relevant Johanna Briggs critical appraisal tool, and data were synthesised in a narrative manner. Thirty-two studies were included in the review. Compared to premenopausal females, postmenopausal females display reduced muscle mass and strength, but the effect of menopause on markers of muscle damage and expression of the genes involved in metabolic signalling pathways remains unclear. Some studies suggest a beneficial effect of oestrogen replacement therapy on muscle size and strength, but evidence is largely conflicting and inconclusive, potentially due to large variations in the reporting and status of exposure and outcomes. The findings from this review points toward a potential negative effect of oestrogen deficiency in ageing skeletal muscle, but further mechanistic evidence is needed to clarify its role.