Reviewerly/exHarmony huggingface dataset:
CROSS-BORDER OPEN DATA SHARING: GIOCONDA PROJECT

Abstract. Open Data, and Open Government Data, are proving to be an important resource for the economic development inside the domain where information has a key role (Carrara et al., 2015). Although, different practices for data publishing have led to misalignment, underuse and repetition of information (Bizer et al., 2011). For this reason, the Public Administrations have undergone efforts on integrating the information and promoting interoperability through the implementation of best practices, as for example, the use of a common semantics vocabulary for the metadata (DCAT) as proposed by the ISA2 programme of the European Commission. The Interreg Italy-Switzerland GIOCOnDA project has been proposed for enhancing the data sharing processes in the cross-border area, particularly addressing tourism and mobility that are key economic activities for the region. For this work, a review on the data catalogues published in dati.lombardia.it and opendata.swiss is presented. The revision of the datasets showed the need for: 1) defining common semantics for the description of the categories of data to avoid the arbitrary use of vocabularies, and 2) adopting standards for the description of geodata. On the other hand, it was observed the potential to gather existing information to produce geodata querying the datasets with specific keywords that can provide spatial information. Open data, as well as the use of best practices for publishing data, push towards the use of FOSS. In this work, Python has been exploited to analyse the content of the catalogues to access web portals resources.
An algorithm of the development of an author's educational program

The article presents an algorithm for developing an author's educational program. The analysis of theessence of the "author's educational program" concept makes it possible to determine that in its interpretation,researchers do not take into account the main indicators that characterize the result and product of intellectualactivity such as novelty, relevance and practical significance, do not highlight the importance of presenting it asan object of copyright. On the basis of the results of the analysis of literary sources and personal experience, theauthor's definition of the concept "author's educational program" is formulated. In order to simplify the processof creating an author's educational program, we have developed and presented an algorithm. Its peculiarity is adetailed verbal instruction for the steps that should be taken to carry out activities and a description of theresults that are expected to be obtained after each of them. Stages of the program are defined in accordancewith the logic of scientific research. Thus, the algorithm of the author's program development is considered tobe a process of realization of prognostic, informational-analytical, modeling-designing, experimentalmeasuring and evaluation-reflexive stages of activity. The goal and steps of each stage of creating an author'seducational program are defined: prognostic (determining the target audience and its educational needs);informational-analytical (collection and analysis of content of materials of similar curricula, existingpedagogical theory and practical activity of educational institutions, selection, detailed analysis, evaluation ofscientific information of official programs, program and methodological materials, etc.); modeling-designing(definition of the generalized purpose and name of the course, formulation of tasks, selection of the requiredcontent and its description, establishment of the number of types of classes, definition of didactic components(principles, methods, forms and means of teaching and learning), analysis of the resource base of theeducational institution for the implementation of the course, creation of a system of controlling the acquisitionof materials; preparation of methodological and didactic materials); experimental-measuring (design of ateaching methodology with regard to the program; presentation of the results of experimental teaching);evaluation-reflexive stage (clarification of social demand, analysis of the educational institution's capacity forthe implementation of the program, registration of the copyright of the program).
Comparison of Tracking Performances of Interacting Multiple Model Algorithms under Irregular Sampling Intervals

In this study, the target tracking performances of Kalman Filter, Converted Measurements Kalman Filter and Alpha-Beta-Gamma Filter for Interactive Multiple Model were compared for the case of irregular sampling intervals. Although irregular measurement intervals are common in practice, the tracking performance comparison of Interactive Multiple Model based tracking filters is done for the first time in the literature. It is shown that Converted Measurements Kalman Filter has better performance than the other two filters for real air target tracking problem with irregular sampling intervals when RMSE criteria is used.
125. The use of combinatorial supervised machine learning and wearable sensors to objectively measure activities of daily living from the Oswestry Disability Index

BACKGROUND CONTEXT Disease specific health status is measured using survey-based patient-reported outcomes (PROs) (eg, Oswestry Disability Index, ODI) including questions about walking, sitting, standing, traveling (driving) and sleeping (lying down). However, survey data are difficult to collect routinely and subject to multiple biases. Multiple sensor and rules-based algorithms have shown positive predictive values (PPV) greater than 85% for key functional metrics such as walking, jogging, sitting and lying down in a laboratory setting, suggesting the potential to assess measured function rather than reported function. The purpose of this study is to test the predictive capability of a single wearable sensor containing a high-end inertial measurement unit (IMU) for core elements of the ODI survey in a real-world setting. PURPOSE To determine the feasibility of using a single wearable sensor in a real-world environment to measure a subset of activities in the ODI. STUDY DESIGN/SETTING Technology feasibility. PATIENT SAMPLE Five healthy volunteers willing to wear a sensor and undergo a 60-minute activity protocol. OUTCOME MEASURES Sensor generated predictions of activity measured at the 5 ms boundary. METHODS Training data were generated from five healthy volunteers wearing a single navigation-grade IMU (SBG Systems Ellipse2-N) for 60 minutes in a real-world environment. Volunteers were asked to sit, stand, lie supine, drive and walk in an unscripted manner. Data were continuously recorded at 200Hz. A combinatorial learning approach utilized multinomial logistic regression (MLR) to classify posture and sleeping results before feeding into a layer of support-vector-machines (SVM). Twenty percent of the data were held out for testing. RESULTS A total of 1,989,878 data points were analyzed from five healthy volunteers. After the two layers (MLR followed by SVM), accuracy was found to be 98.6% across all activities. Positive predictive values were 98.4% for walking, 97.8% for sitting, 98.5% for driving, 100% for lying and 97.9% for standing. CONCLUSIONS The use of a high-end IMU combined with machine learning algorithms to classify a subset of ODI activities in a real-world setting achieved greater accuracy than multiple sensors and rules-based algorithms reported in prior studies. This type of technology offers the potential for measured function to replace or supplement patient-reported function for key patient-centric activities routinely considered reflective of health status. FDA DEVICE/DRUG STATUS This abstract does not discuss or include any applicable devices or drugs.
Философский журнал как пространство междисциплинарного и межпоколенческого диалога (Встреча шеф-редактора «Философских наук» Хачатура Мариносяна с новыми авторами)

The article presents the author’s reflection on the topic of scientific communication and forms of presentation of scientific results in the form of journal publications. As a starting point for reflection served the meeting that took place on March 28, 2019 held by the editor-in-chief of the Russian Journal of Philosophical Sciences Khachatur Marinosyan with new researchers. The event was mainly devoted to the structure of the representation of modern knowledge, a crucial role in which is continued to be played by a scientific journal that should be considered as a special phenomenon of intellectual culture. The operation of a journal is considered from the communicative perspective. In addition to the main topics of scientific communication, during the meeting some relevant to the institutional functioning of knowledge topics were also discussed: ageism, interdisciplinarity, transmedia, formalization of knowledge, international unification and formal indexation of journals. The meeting, which format was unusual for contemporary Russian science, aroused the interest of the professional community. The relevance and just-in-time character of the “dialogical” approach to the functioning of science was evidenced by the participants. The Social Philosophy Department of the Institute of Philosophy of Russian Academy of Sciences hosted the meeting, which was attended by the beginning scientists from Lomonosov Moscow State University, National Research University Higher School of Economics, Institute of Philosophy of the Russian Academy of Sciences and independent researchers who do not have an institutional position in academic institutions but are engaged in research activities. The most important conclusion of the meeting is that there are the possibility and necessity of thematic updating of humanitarian and, in particular, philosophical knowledge by the work of beginning but promising authors, and editorial boards should be ready to that if they want to maintain journal’s leading status and keep up with the times.
Rectangular Seal Location Algorithm Based on Digital Linear Feature

The computer can reduce the interference of useless information by limiting the operation area and extracting the image of a single seal before identifying the authenticity of seal. Seal positioning is to determine the position of the seal in the image according to the geometric features of the seal. The rectangular seal region is extracted from the image to obtain a single seal image. The positioning of the seal image can greatly reduce the computation of the subsequent seal recognition and improve the accuracy and speed of the recognition operation. The difficulty of automatic locating rectangular seal lies in calculating center, side length and deflection Angle. This paper presents a method of automatic positioning of rectangular seal based on shape feature. Firstly, the color image of the seal is preprocessed to remove the useless information in the color image, and then the line segment element is used as the minimum unit to construct the line according to the rule of digital line. Quickly locate the rectangle in the image by comparing the length and direction of the line. The experimental results show that the positioning speed of the rectangular seal is improved while the accuracy is guaranteed. The position of the seal in the image can be quickly and accurately located.
ЗА ГРАНЬЮ БУДУЩЕГО

The article also considers the impact of accelerating scientific and technological progress on human life. Researchers call the pursuit of technical change to infinity a singularity. What awaits humanity beyond the limits of the future, what changes humanity as a species will be able to accept, and what changes it itself. The author identifies several possible ways of the future development of civilization: human change as a species, replacing it with artificial intelligence and intermediate forms. The author believes that in any case, man is responsible for the behavior of smart machines and that man needs to think about the consequences of human interaction with artificial intelligence. The important role of eternal ethical and philosophical issues is formulated, especially in times of changes: information boom, the emergence of new types of robots, the acceleration of life, etc. in Addition, the author reveals the features of the modern state of civilization as a borderline and shows the aggravation of problems associated with the emergence of non-human areas, subject only to machines. A natural result of the study was the conclusion that if we do not find a rational solution to the issue of human-artificial intelligence interaction, the solution can become irrational, leading to chaos.
On some specific patterns of τ-adic non-adjacent form expansion over ring Z(τ): An alternative formula

Let τ=(−1)1−a+−72 for a e {0,1} is Frobenius map from the set Ea (F2m) to itself for a point (x, y) on Koblitz curves Ea. Let P and Q be two points on this curves. τ-adic non-adjacent form (TNAF) of α an element of the ring Z(τ)={α = c + dτ |c, d ∈ Z} is an expansion where the digits are generated by successively dividing α by τ, allowing remainders of −1, 0 or 1. The implementation of TNAF as the multiplier of scalar multiplication nP = Q is one of the technique in elliptical curve cryptography. In this paper, we find the alternative formulas for TNAF that have specific patterns [c0, 0, …, 0, cl-1], [c0, 0, …, Cl−12, …, 0, cl-1], [0, c1, …, cl-1], [−1, c1, …, cl-1] and [0,0,0,c3, c4, …, cl-1] by applying τm = −2sm-1 + sm τ for sm=∑i=1| m+12 |(−2)i−1tm+1(i−1)!∏j=12i−2(m−j).
PICO and OS-ELM-LRF Based Online Learning System for Object Detection

In this paper, we propose a complete online learning framework for object detection system creatively. The framework efficiently combines Pixel Intensity Comparisons Organized in Decision Trees (PICO) and Local Receptive Fields Based Extreme Learning Machine with Online Sequential Learning Mechanism (OS-ELM-LRF). OS-ELM-LRF is the modified ELM-LRF for which we add the online sequential mechanism. In this framework, PICO is used as the object detector to obtain core candidate regions with high confidence, while OS-ELM-LRF is applied as the object classifier to recognize the specific target. This is an extremely lightweight and efficient online learning framework that can be ported to some embedded devices. To illustrate the effectiveness of this framework, we realize the face recognition system and compare it to the deep-learning-based detection system. Experimental results demonstrate that the proposed object detection framework has not only high recognition accuracy, extremely real-time performance but also remarkable online learning ability, and it can be extended for most object detection tasks in industrial production.
MODEL AKUNTABILITAS PENGELOLAAN KEUANGAN SEKOLAH MUHMMADIYAH (STUDI KASUS: SEKOLAH MUHAMMADIYAH DI MALANG RAYA)

The results of research that researchers have done about the financial management model of the Muhammadiyah Malang Raya school, it can be concluded that: there is a lack of uniformity in the financial management of the Muhammadiyah Malang Raya school. So the researchers concluded that there were no standards in the financial management of the Muhammadiyah Malang Raya school. in general there are many problems in achieving accountability standards in Muhammadiyah Malang Raya schools such as: in general schools do not have financial management guidelines from the Muhammadiyah association, do not have a request and disbursement mechanism and do not have a written procurement mechanism. The preparation of the budget does not involve the DIKDASMEN Assembly as the owner of the school foundation. Lack of clarity in organizing the Muhammadiyah Malang Raya school. Supervision conducted by the DIKDASMEN assembly as the owner is not optimal, whereas the DIKDASMEN Assembly is more for the recipient of the report. So that schools manage school finances in accordance with regulations obtained from outside such as the government. In reporting there are no clear rules on where to submit and there are still books that do not have proof of receipt and disbursement of funds and are incomplete
Multi-Cue Cascades for Robust Visual Tracking

Generic object tracking is a fundamental vision task. Numerous attempts are made to utilize handcrafted features like Hogs, deep convolutional features pretrained independently from other vision tasks, as well as hierarchical features. These methods achieve good balanced accuracy and speed in visual tracking. However, they explore the complementary characteristics of deep and shallow features imperfectly and ignore surrounding background information. In this paper, we exploit multi-cue cascades for building a robust end-to-end visual tracking, which cascades each level response via fully exploring the complementary properties of different levels of learning. Firstly, we crop out image patches and extract the features to construct corresponding levels of learning. Each levels of learning is utilized to cope with different challenges. Secondly, these multi-level learning procedure is embedded into the dynamic siamese networks for an end-to-end training. Additionaly, we take surrounding background information into account in the high level learning procedure. Finally, the outputs of each level are fused and we gain the accuracy and robustness trade-off. Extensive experiments on OTB-2013, OTB-2015 and VOT 2016 demonstrate that the proposed tracker performs favorably in comparison with the state-of-the-art trackers, while being more robust for background clutters.
Beauty Clinic Information Systems Based on Android

As the times progressed, the world of beauty seemed to expand quite rapidly. Beauty clinics are increasingly emerging like Esthedica Clinic Face and Body Treatments. However, information on the clinic Esthedica still somewhat less for the customer. This can be seen from the customers who always ask about the details of treatment, doctor's schedule, and promotion at the clinic. Not infrequently customers also have to wait long to perform treatment or counseling because of the queue of patients that are sometimes quite a lot. This affects the customer relationship that may feel the lack of convenience provided by the clinic to the customer. Customers also find it difficult to get clinical information that they usually get through telephones and chat apps that are personal and not uncommon too slow response. Therefore, the authors make the application of information systems based on the android beauty clinic Esthedica Face and Body Treatments using GRAPPLE (Guideliness for Rapid Application Engineering) method. In this thesis android based applications will be built to provide information on the Esthedica clinic that is information on various treatments available at the clinic, doctor schedule information, and clinic promotion. Through this application also customers can make booking treatment or consultation with a doctor.
Experimental Applications: An Overview of New Ways

The two experimental applications that will be presented in this chapter allow linking the strategic design of the futures with the ideas of Soft Computing, which has the ability to move between the qualitative and the quantitative. The development of experimental applications highlights the value of a triad: anticipation + learning + adaptation, which is developed primarily through the initial ability to recognize endo- and exo-signals. Then, it integrates the strategic design into a cognitive model that reflects the knowledge that those involved in the process of building the future have about the system itself. And finally, it turns the process of inference that helps build the future into systematic action. The objective is to achieve the skills to anticipate and know the dynamic behavior of the system over time, so that it is possible to make decisions and act in a way that favors adaptation.
Myenglishlab як одна з інноваційних платформ змішаного навчання

The article considers the value of MyEnglishLab as one of the newest tools for blending learning of English by philology students. It is an effective and expedient means of teaching English, aimed at developing communication skills, which allows increasing the individualization of educational activities; optimizing the mastering of language structures and grammatical rules; overcoming the monotony of classes in the formation of speech and communicative competence. The interactive platform is one of the most up-to-date tools for blending learning, combining diverse English learning activities in a variety of formats; provides individual feedback; allows 24/7 to complete tasks; supports different learning styles; provides students with a huge amount of supervised PC-based practices that can be done wherever. It contains lexical, grammatical tasks, tasks for listening and reading, tasks after video watching and listening. The tasks are carried out in three stages: the formation of lexical and grammatical skills; improvement of language skills and their use; development of the ability to use lexical and grammatical knowledge acquired during previous two stages. The platform has options for choosing the number of attempts to perform both tests and training exercises, the duration of exercises. The results are available to the teacher in expanded form (how much time the student spent on each task, the number of attempts and the result for each task), which is an opportunity to control the percentage of correct answers, and, if necessary, assign additional exercises. MyEnglishLab implements main functions: cognitive, developing, training, diagnostic and communicative, and based on the principles of individualization (the ability to work individually) and differentiation (the ability to select and offer the necessary tasks of a certain complexity and quantity and in such a sequence that corresponds to the students’ cognitive abilities, their level of knowledge and abilities).
GENO -- GENeric Optimization for Classical Machine Learning

Although optimization is the longstanding, algorithmic backbone of machine learning new models still require the time-consuming implementation of new solvers. As a result, there are thousands of implementations of optimization algorithms for machine learning problems. A natural question is, if it is always necessary to implement a new solver, or is there one algorithm that is sufficient for most models. Common belief suggests that such a one-algorithm-fits-all approach cannot work, because this algorithm cannot exploit model specific structure. At least, a generic algorithm cannot be efficient and robust on a wide variety of problems. Here, we challenge this common belief. We have designed and implemented the optimization framework GENO (GENeric Optimization) that combines a modeling language with a generic solver. GENO takes the declaration of an optimization problem and generates a solver for the specified problem class. The framework is flexible enough to encompass most of the classical machine learning problems. We show on a wide variety of classical but also some recently suggested problems that the automatically generated solvers are (1) as efficient as well engineered, specialized solvers, (2) more efficient by a decent margin than recent state-of-the-art solvers, and (3) orders of magnitude more efficient than classical modeling language plus solver approaches.
Towards Extensible Structural Analysis of Petri Net Product Lines.

Work funded by the Spanish Ministry of Science (project MASSIVE, RTI2018-095255-B-I00) and the R&D programme of Madrid (project FORTE, P2018/TCS-4314)
Plaintext Recovery Attacks Against XTS Beyond Collisions

$$\mathsf {XTS}$$ is a popular encryption scheme for storage devices standardized by IEEE and NIST. It is based on Rogaway’s $$\mathsf {XEX}$$ tweakable block cipher and is known to be secure up to the collisions between the blocks, thus up to around $$2^{n/2}$$ blocks for n-bit blocks. However this only implies that the theoretical indistinguishability notion is broken with $$O(2^{n/2})$$ queries and does not tell the practical risk against the plaintext recovery if $$\mathsf {XTS}$$ is targeted. We show several plaintext recovery attacks against $$\mathsf {XTS}$$ beyond collisions, and evaluate their practical impacts.