bluuebunny/crossref_metadata_2025 huggingface dataset:
FEATURES OF THE INSTITUTE OF INSOLABILITY (BANKRUPTCY) OF INDIVIDUALS
Authors: Возкаев Сайд-Умар Сайд-Алиевич
Published: July 2020

В статье дается общая характеристика институту несостоятельности (банкротства) физических лиц, затрагиваются вопросы нормативно-правового регулирования данной сферы.

The article gives a general description of the institution of insolvency (bankruptcy) of individuals, addresses issues of regulatory regulation of this area.
PLACE AND VALUE OF THE JURISDICTION COURT IN THE MODERN CRIMINAL PROCESS OF RUSSIA
Authors: Едреев Тамерлан Шайх-Магомедович
Published: July 2020

В статье анализируется понятие и содержание суда присяжных, его значение в отечественной системе уголовного судопроизводства.

The article analyzes the concept and content of the jury, its importance in the domestic criminal justice system.
MODELING OF PATTERNS ON THE SURFACE OF GRAPHENE AND GRAPHANE
Authors: Зайнутдинова Динара Айдаровна , Газизова Альфия Ильдусовна
Published: July 2020

Графен - слой атомов углерода толщиной в один атом, соединенных в гексагональную решетку. А графан - это гидрогенизированный графен. Дефекты, паттерны, на их поверхностях приводят к различного рода искажениям, и, следовательно, к появлению особых свойств. В данной работе паттерны исследуются на предмет их способности избирательно улавливать молекулы в полость, а именно молекулу метана. Что касается методов моделирования, то были использованы метод молекулярной механики и полуэмпирический метод PM3.

Graphene is a one-atom-thick layer of carbon atoms arranged in a hexagonal lattice. And graphane is a fully hydrogenated form of graphene. Defects are named patterns on their surfaces lead to various kinds of distortions and hence to the appearance of special properties. In this study, patterns are explored for their ability to selectively incorporate molecules namely methane molecule within the cavity. As for methods used in modeling, there are molecular mechanics and semi-empirical PM3.
REGULATORY REGULATION OF RELATIONS FOR PROTECTING THE RIGHTS OF CONSUMERS OF HOUSING AND COMMUNAL SERVICES
Authors: Шахаева Фатима Магомедовна
Published: July 2020

В статье анализируются особенности нормативно-правового регулирования отношений по защите прав потребителей в гражданском и жилищном законодательстве, определяется роль и значение подзаконных актов.

The article analyzes the features of the legal regulation of relations for the protection of consumer rights in civil and housing legislation, determines the role and significance of by-laws.
Rancang Bangun Digital Library Berbasis Mobile (Studi Kasus : Universitas Muhammadiyah Purworejo)
Authors: Jumasa Hamid Muhammad
Published: July 2020

The development of information technology has currently been growing rapidly and provided many benefits in various fields, one of which is the library. The application of information tech-nology to the library is usually called a digital library (digital library). Digital library makes it easy for users to obtain information sources easily. Users can quickly search for book data in-formation, find out the number of books available, makes direct borrowing etc. Libraries in a university support the implementation of education, and teaching, research and community ser-vice. The library in the university has a collection of reference books and research reports that are always obtained every year.The presence of smartphone technology makes it easier for users to be comfortable, fast and easy in completing their work. However, there are difficulties which have to deal with while the display interface of a web-based information system does not support to be displayed on smartphone screen. This has an impact on the difficulties encountered by users in accessing the information. Currently, the digital libraries at Muhammadiyah University of Purworejo are web-based. But it has obstacles with display interface which does not support to be displayed in mobile version. Besides that there are menus that are still not categorized correctly. In order to improve access and give users easiness, this research made the design of a mobile-based Digital Library.
Do Citizens Support Cohesion Policy? Measuring European support for redistribution within the EU and its correlates
Authors: Charron Nicholas
Published: July 2020

As the European Union enters into the next decade, its leaders seemingly strive towards more future integration rather than less, despite the recent setback of Brexit and the rise of anti-EU populist parties.  In his state of the Union in 2018, Jean Claude Junker emphasized several ways forward - ‘European solidarity’, ‘rejection of exaggerated nationalism’, and support for ‘balanced migration reform’.  Yet he did not mention one key policy tool for achieving a closer Union – Cohesion Policy and the Structural Funds, which are “the only real, significant redistributive mechanism in the EU…” (Fratesi 2017) and consistently constitute the second largest item in the EU’s budget.  As Cohesion policy essentially redistributes resources from wealthier EU countries to poorer EU regions, creating winners (net recipients) and losers (net donors), it has been a target in anti-EU rhetoric, including in the lead up to Brexit.  Despite elite commentary, we know surprisingly little about what EU citizens think of the rationale behind the policy of Cohesion – e.g. economic redistribution within the EU.  As part of the PERCEIVE Horizon2020 project, we launched a unique survey to investigate how citizens feel about economic integration within the Union, where 17,200 citizens were interviewed.  In this paper, we show how we measure support for the policy, the results as well as a host of correlates. Our analysis shows the variation in citizens’ support for EU Cohesion policy between countries, how support varies between demographic groups, as well as the extent to which support is correlated with utilitarian and ideational factors as well as cue taking.  Implications for future developments of this policy are discussed.
Optical Studies of Eight AM Herculis–type Cataclysmic Variable Stars
Authors: Thorstensen John R. , Motsoaledi Mokhine , Woudt Patrick A. , Buckley David A. H. , Warner Brian
Published: July 2020

We report detailed follow-up observations of eight cataclysmic variable stars (CVs) that are apparently AM Her stars, also called polars. For all, we either determine orbital periods for the first time or improve on existing determinations. The seven for which we have spectra show the high-amplitude radial-velocity curves and prominent He ii λ4686 emission lines characteristic of strongly magnetic CVs, and their periods, which range from 81 to 219 minutes, are also typical for AM Her stars. Two objects from the Gaia-alerts index, Gaia18aot and Gaia18aya, are newly identified as CVs. Another, RX J0636.3+6554, eclipses deeply, while CSS 080228:081210+040352 shows a sharp dip that is apparently a partial eclipse. The spectrum of Gaia18aya has a cyclotron harmonic near λ5500 Å that constrains the surface field to ∼49 MG or greater.
Using the Baryonic Tully–Fisher Relation to Measure Ho
Authors: Schombert James , McGaugh Stacy , Lelli Federico
Published: July 2020

We explore the use of the baryonic Tully–Fisher relation (bTFR) as a new distance indicator. Advances in near-IR imaging and stellar population models, plus precise rotation curves, have reduced the scatter in the bTFR such that distance is the dominant source of uncertainty. Using 50 galaxies with accurate distances from Cepheids or the tip magnitude of the red giant branch, we calibrate the bTFR on a scale independent of H

o
. We then apply this calibrated bTFR to 95 independent galaxies from the SPARC sample, using CosmicFlows-3 velocities, to deduce the local value of H

o
. We find H

o
 = 75.1 ± 2.3 (stat) ±1.5 (sys) km s−1 Mpc−1.
The Interaction of Type Iax Supernova Ejecta with a Helium Companion Star
Authors: Zeng Yaotian , Liu Zheng-Wei , Han Zhanwen
Published: July 2020

Type Iax supernovae (SNe Iax) are an important subluminous class of SNe Ia. However, their progenitors and explosion mechanisms are not yet understood. It has been suggested that SNe Iax may be produced from weak deflagration explosions of Chandrasekhar-mass white dwarfs (WDs) in binary systems with a helium (He) star donor. In such progenitor systems, the stripped He companion material caused by the ejecta-companion interaction is expected to present some He features in their late-time spectra. However, the detection of He lines in late-time spectra of SNe Iax has not yet been successful, which gives an upper limit on the amount of stripped He mass of

. In this work, we study the interaction between SN Iax ejecta and a He star companion by performing three-dimensional hydrodynamical simulations with a weak pure deflagration explosion model. We find that about

of He material can be stripped off from the companion star by SN explosion, which is very close to (or lower than) the observational upper limit on the total stripped He mass in SNe Iax. We, therefore, conclude that nondetection of He lines in late-time spectra of SNe Iax could be reasonably explained if they indeed resulted from weak pure deflagration explosions of Chandrasekhar-mass WDs in progenitor systems with a He star donor.
Circumbinary Disks of the Protostellar Binary Systems in the L1551 Region
Authors: Takakuwa Shigehisa , Saigo Kazuya , Matsumoto Tomoaki , Saito Masao , Lim Jeremy , Yen Hsi-Wei , Ohashi Nagayoshi , Ho Paul T. P. , Looney Leslie W.
Published: July 2020

We report Atacama Large Millimeter/submillimeter Array Cycle 4 observations of the Class I binary protostellar system L1551 IRS 5 in the 0.9 mm continuum emission, C18O (J = 3–2), OCS (J = 28–27), and four other Band 7 lines. At ∼0.″07 (=10 au) resolution in the 0.9 mm emission, two circumstellar disks (CSDs) associated with the binary protostars are separated from the circumbinary disk (CBD). The CBD is resolved into two spiral arms, one connecting to the CSD around the northern binary source, Source N, and the other to Source S. As compared to the CBD in the neighboring protobinary system L1551 NE, the CBD in L1551 IRS 5 is more compact (r ∼ 150 au) and the m = 1 mode of the spirals found in L1551 NE is less obvious in L1551 IRS 5. Furthermore, the dust and molecular-line brightness temperatures of CSDs and CBD reach >260 and >100 K, respectively, in L1551 IRS 5, much hotter than those in L1551 NE. The gas motions in the spiral arms are characterized by rotation and expansion. Furthermore, the transitions from the CBD to the CSD rotations at around the L2 and L3 Lagrangian points and gas motions around the L1 point are identified. Our numerical simulations reproduce the observed two spiral arms and expanding gas motion as a result of gravitational torques from the binary, transitions from the CBD to the CSD rotations, and the gas motion around the L1 point. The higher temperature in L1551 IRS 5 likely reflects the inferred FU Ori event.
The Streaming Instability in Two-dimensional Protoplanetary Disks
Authors: Pan Liubin , Yu Cong
Published: July 2020

We conduct a two-dimensional (2D) stability analysis for the aerodynamically coupled system of gas and dust in protoplanetary disks using the WKB approximation. The 2D analysis may apply to a vertically integrated disk or a thin dust layer at the disk midplane. We show that the streaming instability exists in 2D and examine the growth rate and its dependence on the mean dust-to-gas ratio,

ϵ

¯

, and the Stokes number, St. For small

ϵ

¯

, the dust back reaction may be viewed as a perturbation to the wave system, and analytical results are successfully derived by the method of perturbation with respect to

ϵ

¯

. At a given azimuthal wavenumber, m, the growth rate as a function of the radial wavenumber, kr, shows a peak corresponding to the resonance between the relative drift velocity and the Rossby/trivial waves in the gas. For small

ϵ

¯

, the peak growth rate at resonant modes increases as m
1/2 when the Rossby wave effect is negligible and the gas wave becomes trivial. With increasing St, the peak growth rate increases as St
1/2 at St ≪ 1, peaks at St ∼ 1, and finally decreases as St
−1/2 for St ≫ 1. We find that the growth rate scales with

ϵ

¯

as

ϵ

¯

1

/

2

at

ϵ

¯

≪
1

and peaks at

ϵ

¯

∼
1

. The instability is physically interpreted as a runaway process of dust trapping in relative drift-induced anticyclonic vortices. The effects of the compressibility and viscosity of the gas, the applicability of the WKB application, and the effects of the Keplerian shear are discussed.
The Zwicky Transient Facility Catalog of Periodic Variable Stars
Authors: Chen Xiaodian , Wang Shu , Deng Licai , de Grijs Richard , Yang Ming , Tian Hao
Published: July 2020

The number of known periodic variables has grown rapidly in recent years. Thanks to its large field of view and faint limiting magnitude, the Zwicky Transient Facility (ZTF) offers a unique opportunity to detect variable stars in the northern sky. Here, we exploit ZTF Data Release 2 (DR2) to search for and classify variables down to r ∼ 20.6 mag. We classify 781,602 periodic variables into 11 main types using an improved classification method. Comparison with previously published catalogs shows that 621,702 objects (79.5%) are newly discovered or newly classified, including ∼700 Cepheids, ∼5000 RR Lyrae stars, ∼15,000 δ Scuti variables, ∼350,000 eclipsing binaries, ∼100,000 long-period variables, and about 150,000 rotational variables. The typical misclassification rate and period accuracy are on the order of 2% and 99%, respectively. 74% of our variables are located at Galactic latitudes,

. This large sample of Cepheids, RR Lyrae, δ Scuti stars, and contact (EW-type) eclipsing binaries is helpful to investigate the Galaxy’s disk structure and evolution with an improved completeness, areal coverage, and age resolution. Specifically, the northern warp and the disk’s edge at distances of 15–20 kpc are significantly better covered than previously. Among rotational variables, RS Canum Venaticorum and BY Draconis-type variables can be separated easily. Our knowledge of stellar chromospheric activity would benefit greatly from a statistical analysis of these types of variables.
Training Needs Assessment for Employability in Pharmaceutical Industries
Authors: Balakrishnan Athira , Kunhikatta Vijayanarayana , Nair Sreedharan , Khera Kanav , Viji P. C. , Thunga Girish
Published: July 2020

OBJECTIVE: The aim of the study was to assess the perception of final year pharma students, faculties from various Pharmacy Council of India/All India Council for Technical Education approved pharmacy colleges and industrial experts toward skill gaps, employability, and job-oriented training programs.
METHODS: Cross-sectional survey conducted using validated piloted questionnaire in both educational and industry sector. Mann–Whitney test was used to analyze difference in opinions of industry professionals and academicians. NVIVO 12(trial version) used to analyze qualitative data from open-ended question.
RESULTS: Both faculty (65%) and industrial expert (31.5%) surveyed opined that graduates are lack of skills. It was also observed that basic knowledge and technical skills are the gaps that affect graduates’ performance. Most of the students (94%), academicians (92%), and industry professionals (93%) unanimously agreed that there is a strong need of training programs.
CONCLUSION: Revival of pharmacy education incorporating training programs is the need of the hour.
General Anxiety Disorder-Related Coronavirus Disease-19 Outbreak in Indonesia: A Case Report
Authors: Wulandari Patricia , Hidayat Rachmat
Published: July 2020

BACKGROUND: The outbreak of coronavirus disease-19 (COVID-19) which is now a pandemic has become a problem that occurs in every area of life. Coronaphobia, a new term in the psychiatry literature referring to excessive fear of being infected by SARS-COV2 or COVID 19. Infected by influenza, having close relatives or friends with this fatal virus, and strong fear of infection have been reported as important predictors of stress posttrauma. We report a case report-related COVID-19 in Indonesia.
CASE PRESENTATION: A 23-year-old female, dentistry student living in a boarding house in East Java, Indonesia, along with her friend and coming from a middle-up income family background, came to psychiatric consultation with complaints of difficulty of breathing for 1 month ago. This anxiety began to get heavy, especially since the severe acute respiratory syndrome coronavirus 2 (COVID 19) outbreak appeared in Indonesia. In addition, she also recently experienced a failure in her final examination so that her study period as a dentistry student must be extended. Exploration of history revealed that the patient initially experience a feeling of heaviness in the chest, difficulty breathing, palpitation, and sometimes feeling sad due to her failure before. She was then given pharmacological interventions in the form of fluoxetine and clobazam and psychotherapy and progressive muscular relaxation through online.
CONCLUSION: General anxiety disorder, especially due to the COVID-19 outbreak, should be managed appropriately and comprehensively. The pandemic situation and widespread spread of the disease cause psychotherapy to be modified in such a way that assistance can be carried out online.
Les « think tanks » dans les régimes de la connaissance politiquement ancrée : la « porte tournante » est-elle importante en Chine ?
Authors: Zhu Xufeng
Published: July 2020

Dans le présent article, nous conceptualisons un « régime de la connaissance politiquement ancrée » dans lequel le pouvoir politique est profondément enraciné dans les réseaux administratifs et personnels entre les décideurs bureaucratiques et leurs consultants professionnels. Afin d’illustrer les caractéristiques du régime de la connaissance politiquement ancrée, j’évalue les effets du système de la porte tournante (revolving door) sur les « think tanks » (groupes de réflexions) chinois. Je constate de manière empirique que la porte tournante contribue de manière négligeable à l’influence et aux revenus des « think tanks » en Chine. De plus, la porte tournante a des effets négatifs significatifs sur la construction des réseaux sociaux personnels des membres des « think tanks ». Nous effectuons une analyse hétérogène et un appariement des coefficients de propension pour présenter la robustesse des résultats de la régression. Remarques à l’intention des praticiens La politique de la « porte tournante » a toujours été considérée comme un facteur essentiel pour la prospérité des « think tanks » américains. Elle est aujourd’hui devenue la stratégie de recrutement dominante pour les « think tanks » internationaux. En particulier, le gouvernement et le monde universitaire chinois adoptent à présent le mécanisme de la porte tournante dans le cadre de la création des « think tanks » chinois. Pourtant, aucune recherche empirique systématique n’a été menée pour évaluer les effets exacts de la porte tournante sur les « think tanks » chinois. Mes observations empiriques révèlent que les expériences de développement des « think tanks » américains ne sont peut-être pas aussi efficaces lorsqu’elles sont appliquées à d’autres pays ayant des régimes de la connaissance différents.
Qui fait la carrière de l’officier, l’individu ou son institution ? Le cas des officiers français
Authors: Morin Gabriel , Chanut Véronique
Published: July 2020

Le phénomène de managérialisation qui affecte l’État, ainsi que ses élites, contribue à y provoquer une irruption de l’individu. L’institution militaire n’échappe pas à ces transformations organisationnelles qui en découlent. À travers l’analyse de la carrière des officiers français, cette étude explore les effets de cette managérialisation. La question de recherche qui est posée cherche à déterminer qui, de l’individu ou de son institution, fait la carrière de l’officier français ? L’étude empirique s’appuie sur des données primaires très denses récoltées auprès d’acteurs clés de la fabrication des élites militaires françaises : des officiers généraux, pour certains directeurs d’écoles militaires, ayant été successivement élèves, instructeurs et concepteurs de ce parcours professionnel du chef militaire. Les résultats montrent que, malgré un processus de civilianisation sans précèdent de l’institution militaire, la carrière de chef militaire se révèle plus immuable. Le parcours professionnel de l’officier français peut, ainsi, se lire comme un marqueur de l’identité institutionnelle militaire. Remarques à l’intention des praticiens L’institution militaire peut apparaître comme un miroir des évolutions sociologiques majeures et notamment du phénomène de managérialisation qui concerne l’État avec son corollaire, l’individualisme. L’analyse de la carrière des officiers français permet d’explorer les effets de cette managérialisation. Les résultats de l’étude atténuent les effets de ce phénomène, appelé également civilianisation dans le cas des forces armées, et révèlent au contraire le caractère invariant de la carrière de chef militaire, pilier de l’identité institutionnelle militaire.
Léovigild à Narbonne
Authors: Martin Céline
Published: July 2020

Alors que l’on ne conservait jusqu’ici presque aucune charte d’époque visigothique, quatre chartes en provenance du monastère pyrénéen de Saint-Martin d’Asán ont récemment été découvertes. Cette étude porte sur trois d’entre elles, datées de 572 à 586, dont deux diplômes, l’un de Léovigild, émis à Narbonne, l’autre de son fils Reccared, tous deux proposés en traduction. Elles apportent des informations de première importance sur la chronologie des successions au trône, sur les immunités fiscales, les relations entre la province Narbonnaise et la péninsule Ibérique à l’intérieur du royaume goth, ainsi que sur le rôle politique des élites aristocratiques de l’espace circumpyrénéen à la fin du vi e  siècle. Les confiscations auxquelles elles font allusion ont pu se produire en 580, au moment de la révolte d’Herménégild : elles sont en tout cas politiques et visiblement sans rapport avec un supposé conflit entre rois ariens et évêques catholiques. L’image qui se dégage des nouvelles chartes d’Asán est celle d’un royaume visigothique peu différent de son voisin mérovingien.
L’enfance : une nouvelle catégorie politique
Authors: Pingeot Mazarine
Published: July 2020

Cet article a pour but de montrer que « l’enfance », comme catégorie épistémologique et comme catégorie temporelle, est ce qui a été évacué de la modernité au profit d’un rapport rationnel au monde – identifié à l’âge adulte. L’enfance est du côté du passé, de la perception sensible, du préjugé. Elle représente la minorité dont il faut s’émanciper. La science moderne et l’homme nouveau se sont construits sur l’oubli de l’enfance. Or nous assistons aujourd’hui au retour du refoulé : l’enfance revient en force, comme catégorie politique et comme source de légitimation du discours.
Pratiques éthiques et politique de soi dans l’éducation : l’éducation éthique comme remède à la « vie nue » ? L’exemple de la lutte contre le racisme à l’école
Authors: Moreau Didier
Published: July 2020

Reprenant l’expression de Walter Benjamin, Giorgio Agamben analyse la « vie nue » comme l’existence humaine exposée à la souveraineté du biopouvoir thématisé par Foucault. Parmi les manifestations de la constitution du corps biopolitique, le racisme peut être analysé comme une technologie par laquelle les techniques de soi sont mises au service des techniques de domination. C’est pourquoi la lutte contre le racisme à l’école ne peut pas être engagée sur le seul terrain d’un changement des mentalités, mais doit inclure la mise en œuvre de pratiques éthiques collectives par lesquelles les élèves seraient engagés dans la reconstitution d’une « vie politique », au sens de Hannah Arendt, dans la Condition de l’homme moderne . Cette mise en œuvre suppose le découplage des « techniques de soi et des techniques de domination » selon Foucault, pour aboutir au projet d’une politique de soi. Lutter contre le racisme à l’école, c’est aussi lutter contre la résignation et le consentement à la subalternité.
The Jacobi spectral collocation method for fractional integro-differential equations with non-smooth solutions
Authors: Yang Yin , Kang Sujuan , Vasil'ev Vasiliy I.
Published: July 2020

In recent years, many numerical methods have been extended to fractional integro-differential equations. But most of them ignore an important problem. Even if the input function is smooth, the solutions of these equations would exhibit some weak singularity, which leads to non-smooth solutions, and a deteriorate order of convergence. To overcome this problem, we first study in detail the singularity of the fractional integro-differential equation, and then eliminate the singularity by introducing some smoothing transformation. We can maximize the convergence rate by adjusting the parameters in the auxiliary transformation. We use the Jacobi spectral-collocation method with global and high precision characteristics to solve the transformed equation. A comprehensive and rigorous error estimation under the $ L^{\infty} $- and $ L^{2}_{\omega^{\alpha, \beta}} $-norms is derived. Finally, we give specific numerical examples to show the accuracy of the theoretical estimation and the feasibility and effectiveness of the proposed method.
Microstructural analysis of concretes manufactured with recycled coarse aggregates pre-soaked using different methods
Authors: Sánchez-Roldán Z. , Valverde-Palacios I. , Valverde-Espinosa I. , Martín-Morales M.
Published: July 2020

Recycled concrete has a microstructure more complex than natural concrete, as it includes new interfacial transition zones, the quality of which is conditioned by the state of humidity of the aggregates used, which in turn will affect the final properties of the concrete. Bearing in mind the greater absorption capacity of recycled aggregates, it is important to improve its properties by means of a treatment method that is capable of reducing the negative effects that this may produce in the new concrete. Therefore, the influence of the pre-soaking method of recycled aggregates on the formation of the microstructure of concretes manufactured with these aggregates is analysed, to determine which treatment is the most effective for the production of concretes for non-structural use. The results show that the microstructure of the evaluated concretes differs according to the treatment method used, the most optimal method being one that uses aggregates without pre-soaking.
Rocky Mountain Scholars Program: Impact on Female Undergraduate Engineering Students – Social and Academic Support, Retention, and Success
Authors: Brown Mark , Hitt Matthew P. , Stephens Alyssa , Dickmann Ellyn M
Published: July 2020

The Rocky Mountain Scholars Program (RMSP) was developed, in part, to improve student success and persistence in Engineering disciplines at Colorado State Universi-ty through a portfolio of engagement activities focused around undergraduate research experiences. Female RMSP participants exhibited substantially higher retention rates and grade point averages relative to other female engineering students at CSU. To better understand the impact of the RMSP, and its effectiveness among female engi-neering students, researchers focused on whether, and how, experiences and percep-tions differ between male and female students in engineering programs. That is, how do male and female students differ, if at all, in their subjective perception of life as an engineering major at CSU? A survey was developed measuring resilience, self-efficacy, motivation, social support, academic support, and perceived sexism. Data was obtained from 144 first-year engineering students at CSU. Results indicated that social support from extracurricular activities is particularly important among female students. This points to an increasing need for programs like the RMSP to create social networks among students and faculty, link students to the broader impacts of their work, and ultimately improve the undergraduate experience of under-represented groups in STEM programs.
Design of Dayak Kanayatn Language Learning Mobile Applications Using Gamification
Authors: Suryanto Paulus , Emanuel Andi Wahju Rahardjo , Pranowo Pranowo
Published: July 2020

Preservation of regional languages is very important in the current globalization era. The longer the erosion of regional languages will make the younger genera-tion do not know the language inherited from their ancestors. The fewer the speakers and interest in learning will make the Regional Language endangered. The purpose of this study is to design the learning of regional languages, espe-cially for children aged 9-10 years with the principles of pedagogy. The method of gamification uses a mobile-based application in the form of video, quiz games, and visual images. This regional language learning design is called Enggang Ka-nayatn Quiz (EKQ). The lesson material will be given first, then continued with a quiz. The material in the form of daily sentences and the introduction of cultural wisdom. The result is a mobile-based application that can be used by children for the learning of regional languages with the pedagogy principle. The collected points will get an attractive reward. The contribution made through this paper is to motivate children to learn regional languages so that they will maintain cultural wisdom and regional language dances, especially Dayak Kanayatn.
Developing a Course to Choose an Engineering Major at Colleges with a Pre-Engineering Program Only
Authors: Yoon Il
Published: July 2020

Colleges having their own various engineering departments can offer courses to help students choose their engineering major with the support of faculty and lab activities from various engineering departments. However, students at colleges with a pre-engineering program only usually cannot have the support from various engineering departments. Therefore, a new course was designed to help them decide whether they should study engineering or help them choose their engineering major. This new course consists of three parts: conducting projects related to various engineering majors, preparing presentations related to various engineering majors, and listening to presentations on the general information of engineering. A survey was conducted to measure the effectiveness of this new course. Results show that this course is very effective for students to understand what engineering is. It also shows that conducting the projects and preparing the presentations are very helpful to gain knowledge of various engineering majors.
Comparing the Impact of Programming Assessment Type: In-Class Vs Take-Home
Authors: Karnalim Oscar , Kurniawati Gisela , Sujadi Sendy Ferdian , Nathasya Rossevine Artha
Published: July 2020

In engineering education, educational technologies and teaching interventions are often used to maintain the student retention high. Most of them are strongly related to either in-class or take-home assessment. This paper compares the impact of both assessments on student performance for one academic semester. The findings are expected to re-align the focus of educational technology and teaching intervention research. Fifty-five laboratory sessions were analysed, involving five Introductory Programming classes with a total of 87 Information Technology and Information System undergraduates. The study shows that, by considering only significant changes, in-class assessment leads to higher assessment mark as the students can easily seek help and focus on the tasks. Technical problems are also unlikely to occur as the classroom (or the laboratory in our case) is well-facilitated.
Mobile Applications for Diabetes Self-Care and Approach to Machine Learning
Authors: Cedeno-Moreno Denis , Vargas-Lombardo Miguel
Published: July 2020

Diabetes is a silent disease, the number of people who suffer from it increases daily, it is unfortunate that many young people develop this condition and do not know that they suffer from it. So much so that this disease is the fifth cause of death in Panama. Using software technologies applied to areas such as health every day is increasing. Scientific research in health areas, as well as the development of new technologies that involve smartphones and sensors, is making health self-care possible. Currently, interest in mobile health (mHealth) applications for disease self-care is growing. The innovation of technological tools associated with artificial intelligence is increasing every day. Among its most radical trends is machine learning, whose function is to develop techniques that allow computers to learn. This learning occurs through the data that can be provided to the algorithms responsible for categorizing. Therefore, this research aims to analyze mobile applications specifically those focused on diabetes, to propose an emerging systematic model of medical care for self-management of patients with diabetes and, finally, achieve a reliable data set with Panamanian patient data to apply machine-learning models and see how much we can help Panamanian doctors.
D-Star Algorithm Modification
Authors: Kadry Seifedine , Alferov Gennady , Fedorov Viktor
Published: July 2020

One of the most effective methods for solving a navigation problem is the method of constructing a navigation system based on the simultaneous localization and mapping algorithm and obstacle avoidance algorithms. One of the most effective obstacles avoidance algorithms is the D-star algorithm [1, 2, 3], which, despite its effectiveness, has some drawbacks. This modification allows to eliminate some problems arising during the implementation of the navigation system.
A Study of Big Data Analytical Frameworks in Research Data Management Using Data Mining Techniques
Authors: Vaidya Madhavi Arun , Sanjeeva Meghana
Published: July 2020

Research, which is an integral part of higher education, is undergoing a metamorphosis. Researchers across disciplines are increasingly utilizing electronic tools to collect, analyze, and organize data. This “data deluge” creates a need to develop policies, infrastructures, and services in organisations, with the objective of assisting researchers in creating, collecting, manipulating, analysing, transporting, storing, and preserving datasets. Research is now conducted in the digital realm, with researchers generating and exchanging data among themselves. Research data management in context with library data could also be treated as big data without doubt due its properties of large volume, high velocity, and obvious variety. To sum up, it can be said that big datasets need to be more useful, visible, and accessible. With new and powerful analytics of big data, such as information visualization tools, researchers can look at data in new ways and mine it for information they intend to have.
FeedForward With Screencasts
Authors: Jesus Rui Alberto
Published: July 2020

Feedforward is an educational strategy in which a professor gives orientations to students, prior to a certain task or assessment, in order to show them how to perform well in that upcoming task. This chapter explores the contribution of screencasts as one possible solution to providing feedforward. A screencast is a digital recording of computer screen output, including audio voiceover. If well planned and recorded, screencasts can expose students to the common errors in a certain field, as well as to the best practices that avoid or correct those mistakes. This chapter tests the following hypothesis: students who were exposed to feedforward with screencasts (experimental group) had better grades than those who did not see these common mistakes screencasts (control group). The students were Portuguese undergraduates of physiotherapy, taking a course of Inferential Statistics. The results show that the 48 students in the experimental group achieved an average of 11.64 (in a scale of 0 to 20), significantly higher than the average of 9.96 of the 41 students in the control group.
Multimedia-Enabled Dot Codes as Communication Aids
Authors: Ikuta Shigeru , Watanuki Masamichi , Abe Shinya
Published: July 2020

Grid Onput is a set of novel two-dimensional codes comprising extremely small dots. The present authors recently developed software to overlap the dot codes on the user's designed sheet, to create a content to replay audios, to create a standalone application to replay multimedia, and to create an application to replay multimedia on iPad. Simply touching the dot codes with a speaking-pen and/or a dot-code reader enables users to directly access the corresponding digital information; a maximum of four mediums can be easily linked to each dot code icon. In collaboration with schoolteachers all over the world, one of the authors, Shigeru Ikuta, has been creating a variety of original self-made content and conducting various activities at both general and special needs schools. This chapter outlines the recent development of the state-of-the-art Grid Onput dot code technology and presents basic information regarding the creation of original teaching materials using newly developed software and the use at both general and special needs schools.
Designing Schools as Learning Centers
Authors: McGaw Martha Ann Davis
Published: July 2020

There are several variables that need to be considered when rethinking education delivery for the 21st century. Designing schools as learning centers is more than just about restructuring the physical space of schools. Effective education leadership and administration must successfully align several often-competing goals. These goals include guiding a human-centered organization, consisting primarily of young, evolving learners while continually managing knowledge and information delivery and balancing the needs of students and teachers with the education policy requirements set by federal and state legislation and subsequently interpreted by school districts. This chapter explores the ‘rethinking education delivery' theme through several topics such as learner's comfort levels, teacher- training and professional development, and school district leadership. A case study looks at a six-year research project focused on the effect of district and school leadership styles on teaching and learning.
Knowledge Sharing Practices Among Non-Academic Staff in a Nigerian University
Authors: Omotayo Funmilola Olubunmi , Abdul-Rahman Hafsat Titilade
Published: July 2020

Knowledge sharing, an important part of knowledge management, has particularly been regarded as an important way of increasing competitiveness and performance of organisations. This study investigated knowledge sharing practices among non-academic staff at the University of Ibadan, Nigeria. Descriptive research designed was adopted. Findings reveal that the staff shared knowledge among themselves, and majority had understanding of, and good disposition to, knowledge sharing. The study found that the staff shared both tacit and explicit knowledge, but majorly tacit, and mainly through face-to-face interactions. The major knowledge sharing enabler is improved productivity, while lack of time is the major knowledge sharing barrier. The study concludes that there is a good knowledge sharing practices among the staff. However, there is need for the university to promote more collaboration and knowledge sharing practices among the staff by providing enabling environment for knowledge sharing, in addition to provision of adequate information and communication technologies.
Comprehensive Marketing Intensity Indicator for Higher Educational Institutions
Authors: Iqbal Badar Alam , Rahman Mohd Nayyer
Published: July 2020

Higher educational institutions (HEI) have lately involved the marketing approach both locally and globally. While almost all HEI now involve marketing of education service, there is no comprehensive assessment indicator available for the marketing intensity. Marketing intensity as a new term is the holistic involvement of an organization into marketing not reflected solely by monetary variables. The chapter attempts to bring the term marketing intensity into the discussion of HEI and to build a comprehensive marketing intensity indicator, which may be easily used to compare HEI with respect to marketing intensity. The chapter presents the conceptual and theoretical model of the indicator.
Effective Integration of Technology in Inquiry Learning
Authors: Lynn Lisa J.
Published: July 2020

For education leaders (teachers, professors, curriculum designers, and administrators), there are well-documented benefits to using inquiry learning in a wide variety of grade levels, content levels, and contexts. Besides promoting deep learning and critical thinking, inquiry learning is readily adaptable to 21st century skills such as information and communication technologies literacy. However, the combination of sophisticated pedagogy and cutting-edge technologies can be overwhelming to education leaders when planning an inquiry learning curriculum. Faced with a wide variety of technology options, education leaders have little research-based guidance for choosing the ones that are best suited to an inquiry learning curriculum. This chapter reviews recent findings on the use of technology in inquiry learning and provides suggestions and guidelines for incorporating technology in inquiry learning in order to maximize the pedagogical affordances of technology.
New Evidence on the Role of Size Effect in Determining the Pricing of Risk, Volatility Dynamics, and Economic Exposure of Firm Returns
Authors: Khan Faisal , Jan Sharif Ullah
Published: July 2020

This research study analyses the role of size effect in detecting the pricing of risk, various volatility dynamics, and economic exposure of firm returns on the Pakistani stock market by employing monthly data for the period from 1998 to 2018. Three generalized autoregressive conditional heteroskedasticity models were applied: GARCH(1,1) for capturing different volatility dynamics, GARCH-M for pricing of risk, and EGARCH for asymmetric and leverage effect. The findings of the study are as follows: Firstly, the authors untie that pricing of risk is subject to considerable variations with respect to firm size. Secondly, in the process of detecting whether the firm size matters in the case of asymmetry and leverage effect, they find that it is indeed the case. Thirdly, size effect plays a substantial role in determining various volatility dynamics. Finally, they uncover that economic factors affect stock returns differently based on firm size, signifying the role of size effect.
TBHM
Authors: Gupta Lalit Mohan , Samad Abdus , Garg Hitendra
Published: July 2020

Healthcare today is one of the most promising, prevailing, and sensitive sectors where patient information like prescriptions, health records, etc., are kept on the cloud to provide high quality on-demand services for enhancing e-health services by reducing the burden of data storage and maintenance to providing information independent of location and time. The major issue with healthcare organization is to provide protected sharing of healthcare data from the cloud to the decision makers, medical practitioners, data analysts, and insurance firms by maintaining confidentiality and integrity. This article proposes a novel and secure threshold based encryption scheme combined with homomorphic properties (TBHM) for accessing cloud based health information. Homomorphic encryption completely eliminates the possibility of any kind of attack as data cannot be accessed using any type of key. The experimental results report superiority of TBHM scheme over state of art in terms throughput, file encryption/decryption time, key generation time, error rate, latency time, and security overheads.
Computational Intelligence From Autonomous System to Super-Smart Society and Beyond
Authors: Fiorini Rodolfo A.
Published: July 2020

In this article the author discusses main implications of current autonomous system (AS) through the symbiotic autonomous system (SAS) and the symbiotic system science (SSS) towards the incoming super-smart society, by bringing to light SSS fundamental considerations, according to experience and talks gained on scientific system development in the past fifty years, and formulating the proposal for a new understanding of them, at an effective scientific and operative level towards a real super-smart society. SSS is a growing scientific area which is taking a leadership role in fostering consensus on how best to bring about symbiotic relationships between current AS and incoming SAS in a mixed or hybrid society, called super-smart society. In order to achieve an antifragile behavior, next generation human-made system must have a new fundamental component able to address and to face effectively the problem of multiscale ontological uncertainty management, in an instinctively sustainable way: active, practical wisdom by design!
Developing Concept Enriched Models for Big Data Processing Within the Medical Domain
Authors: Gudivada Akhil , Philips James , Tabrizi Nasseh
Published: July 2020

Within the past few years, the medical domain has endeavored to incorporate artificial intelligence, including cognitive computing tools, to develop enriched models for processing and synthesizing knowledge from Big Data. Due to the rapid growth in published medical research, the ability of medical practitioners to keep up with research developments has become a persistent challenge. Despite this challenge, using data-driven artificial intelligence to process large amounts of data can overcome this difficulty. This research summarizes cognitive computing methodologies and applications utilized in the medical domain. Likewise, this research describes the development process for a novel, concept-enriched model using the IBM Watson service and a publicly available diabetes dataset and knowledge-base. Finally, reflection is offered on the strengths and limitations of the model and enhancements for future experiments. This work thus provides an initial framework for those interested in effectively developing, maintaining, and using cognitive models to enhance the quality of healthcare.
Supervised Sentiment Analysis of Science Topics
Authors: Sánchez-Holgado Patricia , Arcila-Calderón Carlos
Published: July 2020

Twitter is one of the largest sources of real-time information on the Internet and is continuously fed by millions of users around the world. Each of these users publishes text messages with their opinions, concerns, information, or simply their daily happenings. It is a challenge to address the analysis of massive data in the network, just as it is an objective to look for ways to understand everything that data can offer today in terms of knowledge of society and the market. The sector of science communication is still discovering everything that the web 2.0 and social networks can offer to reach all audiences. This article develops a classification model of messages launched on Twitter, on science topics, in Spanish, with machine learning techniques. The training of this type of models requires the creation of a specific corpus in Spanish for the subject of science, which is one of the most laborious tasks. The classifier is able to predict the sentiment of the message in real time on Twitter, with a confidence interval greater than 80%. The results of its evaluation are at 72% accuracy.
Social Network Analysis
Authors: Madani Youness , Erritali Mohammed , Bengourram Jamaa , Sailhan Francoise
Published: July 2020

Sentiment analysis has become an important field in scientific research in recent years. The goal is to extract opinions and sentiments from written text using artificial intelligence algorithms. In this article, we propose a new approach for classifying Twitter data into classes (positive, negative, and neutral). The proposed method is based on two approaches, a dictionary-based approach using the sentimental dictionary SentiWordNet, and an approach based on the fuzzy logic system (fuzzification, rule inference, and defuzzification). Experimental results show that our approach outperforms some other approaches in the literature and that by using the fuzzy logic we improve the quality of the classification.