bluuebunny/crossref_metadata_2025 huggingface dataset:
Amazement and Trepidation: Implications of AI-Based Natural Language Production for the Teaching of Writing
Authors:   North Carolina State University, U.S.A., Anson Chris , Straume Ingerid ,   University of Oslo, Norway
Published: January 2023

AI-based natural language production systems are currently able to produce unique text with minimal human intervention. Because such systems are improving at a very fast pace, teachers who expect students to produce their own writing—engaging in the complex processes of generating and organizing ideas, researching topics, drafting coherent prose, and using feedback to make principled revisions that both improve the quality of the text and help them to develop as writers—will confront the prospect that students can use the systems to produce human-looking text without engaging in these processes. In this article, we first describe the nature and capabilities of AI-based natural language production systems such as GPT-3, then offer some suggestions for how instructors might meet the challenges of the increasing improvement of the systems and their availability to students.
Sustainable Destination Management Using Visitors’ Movements: Applying Mobile Positioning Data
Authors: Choe Yunseon , Lee Woojin , Sim Kyu-won
Published: January 2023

Understanding visitors’ movements is crucial to achieving the goals of sustainable destination management while dealing with the environmental, social, and cultural impact of tourism. This study examines the movement patterns of visitors within Taeanhaean National Park (TNP) by adopting a destination measurement approach from a longitudinal perspective. The spatial distribution of the visitors’ activities and movement patterns was obtained by using mobile positioning data (MPD) and we applied the theoretical concept of tourism destinations, which considers geographical, temporal, and compositional dimensions. Given the destination attributes and conservation values, the MPD analysis proved suitable as an aid for park managers to allocate resources efficiently and define the characteristics of park and recreation facilities. This analysis has extended our knowledge of visitors’ patterns at a large marine national park by increasing consistency and high resolution of real-time spatio-temporal data for longer periods and better representing the study population. The study results will allow park managers to implement destination management planning focused on influencing spatial distributions of visitors’ movements in a specific environment.
Exploring the Vocabulary Makeup of Scripted and Unscripted Television Programs and Their Potential for Incidental Vocabulary Learning
Authors: Shahriari Hesamoddin , Motamedynia Masoud
Published: January 2023

The present study investigated the lexical demands of scripted and unscripted television programs. To that end, two corpora consisting of 286 episodes from 14 different programs, both scripted and unscripted, were analyzed. The results indicated that the 1,000 most frequent word families, plus proper nouns, marginal words, transparent compounds, and acronyms, were required to reach 90% coverage in both scripted and unscripted programs. Furthermore, knowledge of the 2,000 most frequent word families accounted for 95% coverage in the unscripted programs, while, to reach the same threshold in the scripted programs, a vocabulary size of the 3,000 most frequent word families was needed. Regarding 98% coverage, vocabulary knowledge of 4,000 and 6,000 word families was required for the unscripted and scripted programs, respectively. A corpus-driven investigation was also conducted to explore the potential of both types of television programs for incidental vocabulary learning. Accordingly, the results showed that both types of programs may hold relatively great potential for learning words from the 2,000- to 3,000-word levels and might have some potential for the incidental learning of mid-frequency words (i.e., 4,000- to 9,000-word levels). Implications for using both types of television programs in language learning and teaching processes are discussed.
New Modalities to Increase the Accessibility of Students with Visually Impaired to Education Using ICT
Authors: Bradea Adela , Blandul Valentin Cosmin
Published: January 2023

Educational, vocational, and social inclusion is one of the fundamental principles that ensure people with disabilities a chance to have as a normal life as possible. In turn, accessibility is one of the most important components of inclusion and could be defined as the right of people with disabilities to benefit of the same products and services as all other community members. According to government data from 2015, in Romania 752 931 were people with disabilities, 60 289 were children and 13.9% had various forms of visual impairment. For these people, any limitation in accessibility means isolation and discrimination. On the other hand, education and new technologies can increase the accessibility of people with visual impairment to quality products and services in society. Therefore, the purpose of this research was the identification of attitude and training level of teachers in the educational process accessibility for students with visual impairment using ICT. The sample consisted of 210 professors who teach in pre-academic learning system in Bihor, Romania and research tool - a questionnaire composed of 76 multiple choice items â€“ it was administered online by the end of 2016. The results of the research show that, even if they want to support inclusion of people with visual impairment using ICT in teaching/learning, most teachers do not have professional skills in that field and do not know how to use educational software or to adapt a scholar curriculum for this category of students. Keywords: accessibility; educational inclusion; new Technology;
Marital adjustment: the role of perfectionism, the ways of coping with stress and gender
Authors: Biyikoglu Elit Bilge , Egeci Ilke Sine
Published: January 2023

This study aimed to examine the concept of marital adjustment and its relation with perfectionism (self-oriented, otheroriented and socially-prescribed perfectionism), the ways of coping (problem-focused coping, emotion-focused coping and seeking social support) and gender variables. The research was carried out with 290 married individuals (188 females and 102 males). Participants were administered a questionnaire to ascertain their socio-demographic characteristics along with several assessment scales including Dyadic Adjustment Scale, Multidimensional Perfectionism Scale, The Ways of Coping Inventory, Brief Symptom Inventory. A series of analyses of Covariance (ANCOVA) was conducted to evaluate the effects of personal level of perfectionism (self-oriented, other-oriented and socially-prescribed perfectionism), the ways of coping (problem-oriented coping, emotion-oriented coping and seeking social support) and gender on marital adjustment, after controlling for psychopathological symptom levels. The results demonstrated that individuals who had self-oriented perfectionism and individuals, those who applied problem-oriented coping strategies more often, reported greater level of marital adjustment. Specifically, socially-prescribed perfectionism in males and self-oriented perfectionism in females were found to be the determinant figure on the issue of marital adjustment. Another finding revealed an interaction effect between self-oriented perfectionism and seeking social support. The findings were discussed in the light of relevant literature regarding the structure of Turkish society. Keywords: Marital adjustment; perfectionism; coping with stress; gender;
The role of citizen science in demonstrating the local effects of climate change
Authors: Alföldi Zoltán P.
Published: January 2023

Climate change is the greatest global challenge for present and future generations, destabilizing life-support systems with its diverse interrelationships and interactions. The real solutions to global problems at the local levels can only be expected through the widest possible social cohesion and the effective transmission of the results of science to all ages and social strata. One of the best ways to do this is by involving present or historical data from reliable sources of qualified and reliable amateur (citizen) scientists, which is an outstanding methodological opportunity to expand and increase the efficiency of scientific research. Therefore, citizen science has become more and more widespread within and between different disciplines in recent decades. One of the significant practical examples of this, with the persistent and accurate work of a late enthusiastic amateur data collector, Mr. László Cseh), who measured, collected and preserved main local climate data (that is, the average and maximum temperature and precipitation) over several decades in Csem?-Ereklyés region near Cegléd. The comparison of these data sets with the dynamics of the national middle-term data and the possibilities of their use in explaining plant phenology shifts are presented in this paper. According to our results, these local data sets fit well with the national trend and can increase the effectiveness of nature conservation by demonstrating the effects of climate change on plant phenology. Community science provides an opportunity for greater social recognition and acknowledgement of scientific results.
Economic Dispatch of Electrical Power in South Africa: An Application to the Northern Cape Province
Authors: Ravele Thakhani , Sigauke Caston , Jhamba Lordwell
Published: January 2023

Power utility companies rely on forecasting for the operation of electricity demand. This presents an applicationof linear quantile regression, non-linear quantile regression, and additive quantile regression models for forecasting extreme electricity demand at peak hours such as 18:00, 19:00, 20:00 and 21:00 using Northern Cape data for the period 01 January 2000 to 31 March 2014. The selection of variables was done using the least absolute shrinkage and selection operator. Additive quantile regression models were found to be the best fitting models for hours 18:00, and 19:00, whereas linear quantile regression models were found to be the best fitting models for hours 20:00, and 21:00. Out of sample forecasts for seven days (01 to 07 April 2014) were used to solve the unit commitment problem using mixed-integer programming. The unit commitment problem results showed that it is less costly to use all the generating units such as hydroelectric, wind power, concentrated solar power and solar photovoltaic. The main contribution of this study is in the development of models for forecasting hourly extreme peak electricity demand. These results could be useful to system operators in the energy sector who have to maintain the minimum cost by scheduling and dispatching electricity during peak hours when the grid is constrained due to peak load demand.
A New Flexible Stress-Strength Model
Authors: Beiranvand Alimohammad , Kazemi Ramin , Kohansal ‎Akram , Hormozinejad Farshin‎ ‎
Published: January 2023

‎To introduce a flexible stress-strength model‎, ‎statistical inference of the stress-strength parameter $R=P(X<Y)$‎, ‎when stress $X$ and strength $Y$ are two independent‎ two-parametre new Weibull-Fr\'{e}chet variables‎, ‎is considered under Type II progressive censored samples‎. ‎The MLE‎, ‎AMLE‎, ‎asymptotic confidence intervals‎, ‎Bayes estimate and HPD intervals of $R$ are achieved in three different cases‎. ‎Also‎, ‎to compare the performance of three different methods‎, ‎we apply the Monte Carlo simulations and also analyze a data set for illustrative aims‎.
Best Linear Unbiased Estimation and Prediction of Record Values Based on Kumaraswamy Distributed Data
Authors: Aldallal Ramy
Published: January 2023

To predict a future upper record value based on Kumaraswamy distributed data, an explicit expression for single and product moments has been established along with some enhanced expressions that makes the applying process on mathematical softwares easier. The best linear unbiased estimator approach for estimating the parameters and the prediction of future record values have been considered and some important tables have been created to help in the calculation processes. Two illustrative examples based on a simulation study and a real-life data are provided to assess the performance of the introduced results.
Non-parametric Multivariate Kernel Regression Estimation to Describe Cognitive Processes and Mental Representations
Authors: Slama Sahar , Slaoui Yousri , Le Du Gwendoline , Perret Cyril
Published: January 2023

In this research paper, we set forward a non-parametric multivariate recursive kernel regression estimator under missing data using the propensity score approach in order to describe writing word production. Our main objective is to explore cognitive processes and mental representations mobilized when a human being prepares to write a word according to the idea developed in Perret and Olive (2019). We investigate the asymptotic properties of the proposed recursive estimator and compare them to the well known Nadaraya-Watson’s regression estimator. We calculate the bias and the variance of the proposed estimator which depend on the choice of some parameters such as the stepsize and the bandwidth. We examine some data-driven procedures to select these parameters. Thus, we demonstrate that, under some optimal choices of these parameters, the MSE (Mean Squared Error) of the proposed estimator can be smaller than the one obtained by using Nadaraya Watson’s regression estimator. The elaborated estimator is then applied to the behavioral data to classify some participants in groups. This classification may stand for a departure point to tackle written behavior variations.
Spatial Assessment of Water River Pollution Using the Stochastic Block Model: Application in Different Station in the Litani River, Lebanon
Authors: ATOUI Alya , El Haj Abir , Slaoui Yousri , Fadel Ali , Slim Kamal , Andaloussi Samir Abbad , Moilleron Régis , KHRAIBANI Zaher
Published: January 2023

Water pollution is a major global environmental problem. In Lebanon, water pollution threatens public health and biological diversity. In this work, a non-classical classification method was used to assess water pollution in a Mediterranean River. A clustering proposal method based on the stochastic block model (SBM) was used as an application on physicochemical parameters in three stations of the Litani River to regroup these parameters in different clusters and identify the evolution of the physicochemical parameters between the stations. Results showed that the used method gave advanced findings on the distribution of parameters between inter and intra stations. This was achieved by calculating the estimated connection matrices between the obtained clusters and the probability vector of belonging of the physicochemical parameters to each cluster in the different stations. In each of the three stations, the same two clusters were obtained, the difference between them was in the estimated connection matrices and the estimated cluster membership vectors. The power of SBM proposed methods is demonstrated in simulation studies and a new real application to the sampling physicochemical parameters in Litani River. First, we compare the proposed method to the classical principal component analysis (PCA) method then to the Hierarchical and the K-means clustering methods. Results showed that these classical methods gave the same two clusters as the proposed method. However, unlike the proposed SBM method, classical approaches are not able to show the blocks structure of the three stations.
Validação da Versão Portuguesa de um Instrumento de Avaliação de Necessidades Paliativas Pediátricas: A Pediatric Palliative Screening Scale
Authors: Simões Maria João Palaré , Tavares Filipa , Machado Maria do Céu
Published: January 2023

Introdução: A Pediatric Palliative Screening Scale (PaPaS Scale) foi desenhada para ajudar os profissionais a identificar as crianças/jovens com doença crónica complexa, limitante ou ameaçadora da vida que beneficiariam de cuidados paliativos pediátricos e facilitar referenciação atempada e apropriada. O objetivo deste estudo foi traduzir, adaptar culturalmente e validar a PaPaS Scale para a população pediátrica portuguesa.Material e Métodos: Realizou-se um estudo metodológico quantitativo de tradução, adaptação cultural e validação de uma escala. Numa primeira fase, procedeu-se à tradução e adaptação cultural da versão original da PaPaS Scale de inglês para português europeu. A segunda fase consistiu na avaliação das propriedades psicométricas da versão portuguesa da Escala PaPaS.Resultados: Numa amostra de 51 questionários referentes a crianças/jovens com doença crónica complexa, a soma das respostas aos itens da escala revelou que 84,4% dos doentes tinham indicação para ser referenciados aos cuidados paliativos pediátricos. Na análise de consistência interna obteve-se um valor do alfa de Cronbach superior a 0,80, pelo que se pôde considerar a escala como adequada aos dados analisados. De facto, os valores de correlação item-total indicaram que as 11 variáveis mediram com boa fiabilidade e de forma unidimensional a escala PaPaS. Na análise fatorial confirmatória, os resultados obtidos indicaram que globalmente os itens eram significativos, consistentes e apresentaram validade convergente. Apenas o item “2.2. Efeitos secundários do tratamento” obteve um valor abaixo do limiar definido.Conclusão: A PaPaS Scale foi traduzida e adaptada para a versão em português europeu, o que permite a sua utilização imediata na população portuguesa. Torna-se importante o desenho de estudos, preferencialmente multicêntricos, que aprofundem as características psicométricas desta escala.
Parental separation and intergenerational support
Authors: Manzoni Anna , Vidal Sergi
Published: January 2023

Objective: We investigate support between parents and adult children across families exposed and not exposed to parental separation in Germany, by examining multiple types of support (i.e. emotional, material, and instrumental), both directions of provision (i.e. giving and receiving), and exchanges with mothers and fathers.
Background: As parental separation may have implications for parent-child relationships and exchanges, with consequences for individuals' wellbeing, improving our understanding of the association between separation and support exchanges becomes paramount.
Method: Using data from the German Family Panel (pairfam, 2009-2016, N=4,340 respondents and 13,481 observations), we estimate a range of support exchanges between parents and children simultaneously using generalized linear regression models with correlated random terms across equations. Additionally, we assess whether these associations vary by the timing at which parental separation occurred and social background.
Results: Parental separation is negatively associated with support between parents and children, especially for fathers. However, no significant differences emerge between mothers who separated and mothers who did not in receiving material support from their children. The negative associations between parental separation and support between child and fathers are lower if parental separation occurs when the child is an adult. Further, when mothers are highly educated, separation has a less negative association with downward material support.
Conclusion: Overall, lower intergenerational assistance among families experiencing separation suggests increasing disadvantage for those already disadvantaged.
Підвищення надійності каналу комунікації між агентами в мультиагентному середовищі на базі сервісів Azure ІоТ
Authors: Ахаладзе А. , Лісовиченко O.
Published: January 2023

Об’єктом дослідження є система доставки данних (повідомлень) між агентами в мульти агентному середовищі, що працює в режимі реального часу. Предметом дослідження є програмні та архітектруні механізми гарантування доставки даних між вузлами. Метою роботи є підвищення найдійності каналу доставки даних між агентами в мультиагетному середовищі за рахунок використання архітектурних механізмів для гарантування доставки данних до кожного підписника, а також програмних засобів, що реалізують шаблон “circuit breaker” та дозволяють відновити канал комунікації при його розривах уникаючи передачі надлишкових неактуальних данних.

Бібл. 6, іл. 9.
Засоби моделювання: формальна мова описання поведінки клітинних автоматів
Authors: Смолій Н. , Лісовиченко O. , Cмолій В.
Published: January 2023

Об’єктом дослідження є формальна мова описання поведінки клітинних автоматів. Основні завдання: 1) описати безліч можливих подій, які може пережити клітка у клітинному автоматі; 2) визначити можливі атрибути, які можуть викликати ці події (перенаселення/нестача населення призводить до смерті, сусідній осередок має стан, що впливає на наступний стан поточного осередку тощо); 3) описати мову, що описує зв'язки між станами та подіями. Було розроблено програмне середовище для клітинних автоматів та проведено дослідження існуючих правил для клітинних автоматів для того, щоб дізнатися про події, які відбуваються з коміркою, та атрибути комірки, які можуть призвести до цих подій. Таким чином було знайдено інформацію, необхідну для побудови термінального словника мови. Потім було визначено головний нетермінальний символ мови та граматичні терміни, з яких вона складається. Таким чином, було визначено граматичну структуру формальної мови та обґрунтовано будову автомату, що розпізнає граматику. Це дало можливість розпізнавати речення, написані неформальною мовою, та інтерпретувати письмову інформацію.

Бібл. 3, іл. 4, табл. 1.
Вплив оппонентної кольорової моделі на узагальнюючі здібності нейронних мереж
Authors: Паладієв О. , Лісовиченко O.
Published: January 2023

Об’єктом дослідження є процес попередньої обробки даних зображення, який веде до покращення роботи нейронної мережі. Предметом дослідження є попередня обробка кольорового спектру зображення та зміни його моделі.Метою роботи є метод поліпшення роботи нейронної мережі в задачі класифікації кольорових зображень за рахунок зміни кольорової моделі на етапі попередньої обробки. Запропонована кольорова модель дозволяє виключити кольорові діапазони з нульовими значеннями що не впливають на процес навчання та розпізнавання. Також дана модель дозволяє використовувати взаємовиключні методи по обробці даних.

Бібл. 5, іл. 5.
Стабілізація точок позиціонування у системі управління промисловими роботами-маніпуляторами
Authors: Стенін O. , Пасько В. , Ткач M. , Солдатова M. , Дроздович I.
Published: January 2023

В останні роки в усьому світі широкого поширення набули промислові роботи. Вони дозволяють покращити якість роботи, мінімізувати терміни виготовлення деталей та заощадити на промислових витратах, а також можутьпрацювати у небезпечних для людини середовищах. Однією з найважливіших завдань у впровадженні систем управління промислових роботів є налаштування у ній параметрів багатовимірних регуляторів, зокрема, ПІД-регуляторів. ПІД-регулятор відноситься до найпоширенішого типу регуляторів. Близько 90…95% регуляторів, що у часексплуатації, використовують ПІД алгоритм. Незважаючи на велику кількість публікацій, залишається багато проблем у питаннях налаштування параметрів ПІД-регуляторів. Ефективність використання маніпуляційних промислових роботів багато в чому визначається якістю та швидкістю виконання ними заданих (програмних) режимів їхньої роботи. Якість, своєю чергою, залежить від точності відстеження програмного руху маніпулятора. У зв'язку з цим у цій статті пропонується процедура налаштування параметрів багатовимірних ПІД-регуляторів на основі модального синтезу закону стабілізації з використанням запропонованого методу невизначених коефіцієнтів. Цей підхід є універсальним і може бути використаний для стабілізації роботи інших технічних об'єктів та технологічних процесів.

Бібл. 24, іл. 5.
Розпізнавання рукописних цифр на основі згорткових нейронних мереж
Authors: Стенін О. , Пасько В. , Солдатова M. , Дроздович I.
Published: January 2023

Відомо, що використання багатошарового персептрона з традиційною структурою при вирішенні реальних завдань розпізнавання та класифікації зображень викликає певні труднощі, зокрема, пов'язані з великою розмірністю зображення (це значно збільшує кількість нейронів та синаптичних зв'язків у нейронних зв'язках мережі і, отже, значно збільшує навчальну вибірку та час навчання). З іншого боку, ігнорується топологія вхідних даних. Компоненти вхідного шару можуть бути представлені у будь-якому порядку, незалежно від мети навчання. Однак зображеннямають сувору двовимірну структуру, в якій існує залежність між сусідніми у просторі пікселями. Цих недоліків позбавлені так звані згорткові нейронні мережі, що являють собою особливий клас багатошарових персептронів, спеціально призначених для розпізнавання двовимірних поверхонь з високим ступенем інваріантності домасштабування, переміщення, обертання, зміни кута та інших просторових перетворень. У цій статті обговорюється проблема практичної реалізації розпізнавання рукописних цифр на основі нейронних згорткових мереж (ЗНМ). Представлено архітектуру ЗНМ, для якої як функцію втрат на навчання рекомендується використовувати перехресну ентропію, а як функцію активації останнього шару ЗНМ — функцію Softmax. Також рекомендується використовувати відомий алгоритм зворотного розповсюдження реалізації алгоритму навчання ЗНМ. Для цього у статті подано основні співвідношення для помилок на кожному рівні.

Бібл. 14, іл. 2.
Задача аналізу публікацій для побудови прогнозу відносно зміни курсу криптовалют
Authors: Гавриленко O. , Мягкий М. , Жураковський Я.
Published: January 2023

В даній статті було наведено аналіз методів, сфер застосування а також підходів до аналізу публікацій та прогнозування подій на основі зібраних даних, а також надано концепцію розрахунку впливу публікацій відомих людей на зміну курсукриптовалют. Представлено обґрунтування актуальності теми та описано можливості відповідного застосування результатів роботи. Визначено основні етапи стосовно роботи з даними щодо прогнозування подій, а саме: попередня обробка даних, їх подальший аналіз та побудова прогнозу. Одним з ключових факторів при формуванні попередніх вимог є саме визначення цільових даних, тобто тих в котрих будуть наявні ключові слова та певна емоційна забарвленість. Крім цього необхідно також визначити цільових експертів, тобто обрати людей, чиї пости на нашу думку, матимуть вагомий вплив на подальше формування інформаційного потоку. Розкрито актуальність використання введеного співвідношення емоційного забарвлення цільових постів і зацікавленості цільових осіб.

Бібл. 7, іл. 4, табл. 1.
Peculiarities of the Digital Transformation of the Polish Economy
Authors: Gabarta A. , Vinogradova E.
Published: January 2023

The article analyzes the level of digitalization of the Polish economy and makes a comparison between it and that of other countries. The authors determine the role and place of Poland in the context of the ongoing Fourth Industrial Revolution, as well as the degree of participation of Polish enterprises in this process. The analysis of the digitalization process in Poland’s economy is based on the reports of international consulting companies and data from the Polish statistical service. The authors come to the conclusion that local companies do not make sufficient use of the opportunities that the Fourth Industrial Revolution offers them. Many of them do not have even the prerequisites for the automation and robotization of production, because they have not reached the final stage of the previous industrial revolution. It is important for Polish enterprises to succeed not only in consuming digital solutions, but most importantly in creating them. The level of digitalization of the Polish economy is fairly low compared to the world's leading economies. It will be quite difficult to change this situation, since the leaders in this field are not standing still, but moving forward. A significant problem on the way to digitalization of the Polish economy is the lack of trust in new technologies on the part of the Polish corporate leadership. The strength of the Polish economy is in the presence of domestic engineers, programmers and the basic elements of ICT infrastructure. But success in building the digital economy will primarily depend on government actions and decisions made by local corporations.
Public Governance in Digital Transformation: from Electronic Document Exchange to Digital Ecosystems
Authors: Udovenko I.
Published: January 2023

This article explores the changes arising from the introduction of information and communication technologies in public administration using an institutional approach. Practical examples are used to consider transformations in the way government institutions interact with citizens and organizations, as well as new emerging opportunities in the provision of public and socially important services. The author analyses both the retrospective formation of centralised government information systems in countries that have reached digital maturity, the formation of electronic, digital and smart governments, and the emerging trends of the next round of digital transformation - the development of interstate digital ecosystems and regional digital environments of megacities and urban agglomerations. In particular, the article examines the steps taken by the US government in the early 21st century to establish electronic interaction between government agencies and to create a system for delivering public services that excludes personal contact by citizens and companies. It then identifies technologies that have subsequently enabled other countries to make the transition to fully digital governmental information. A significant innovation that, in the author's opinion, determined the further vector of transformation of administrative processes was the integration of payment and government information systems. Such a technological solution, implemented through a closer partnership between government and corporate entities, combined with the spread of individual mobile digital devices – smartphones and tablets – has become the basis for the development of unified digital platforms designed to optimize both the provision and receipt of virtually all socially important services. The article also examines the role of government information systems in the development of the data economy and highlights emerging models of government regulation in this area. The following trends of digitalization in the public sector are analysed as relevant: regulators of digital ecosystems acquiring the ability to provide digital services to extraterritorial communities, scaling digital infrastructure in territories with high population concentration when implementing economic development projects and introducing digital technologies in the social sphere.
The Post Shock Nonequilibrium Relaxation in a Hypersonic Plasma Flow Involving Reflection off A Thermal Discontinuity
Authors: Markhotok Anna
Published: January 2023

The evolution in the post shock nonequilibrium relaxation in a hypersonic plasma flow was investigated during a shock’s reflection off a thermal discontinuity. Within a transitional period, the relaxation zone parameters past both, the reflected and transmitted waves, evolve differently compared to that in the incident wave. In a numerical example for the non-dissociating N2 gas heated to 5000 K/10,000 K across the interface and M = 3.5, the relaxation time for the transmitted wave is up to 50% shorter and the relaxation depth for both waves is significantly reduced, thus resulting in a weakened wave structure. The results of extension into larger values of heating strength and the shock Mach numbers are discussed. The findings can be useful in the areas of research involving strong shocks interacting with optical discharges or other heated media on the scale where the shock structure becomes important.
To Develop an Ecofriendly Cold Nuclear Thermal Power Plant by Considering Iron-56 as A Fuel
Authors: U.V Satya Seshavatharam , s Lakshminarayana
Published: January 2023

In this contribution, we make an attempt to write a theoretical proposal for designing an eco friendly thermal power plant which runs with cold nuclear fusion technology at a temperature of (1500 to 2000) deg.C. In our recently published papers, we have proposed a clear cut mechanism for understanding and implementing cold nuclear fusion technique pertaining to fusion of hydrogen with metals of mass numbers starting from 50. In this context, we would like to stress the point that, fusion of hydrogen under controllable temperature and pressure can be understood as a phenomenon of fusing neutron to the nucleus of the base atom. Part of isotopic nuclear binding energy difference of final and base atomic nuclides can be seen in the form of safe thermal energy of the order of (1 to 3) MeV per atom against 200 MeV released in nuclear fission of one Uranium atom. Due to increased heaviness and weak interaction, sometimes fused neutron splits into proton and electron. Proton seems to be retained by the base atom’s nuclear core and electron seems to join with the electronic orbits of the base atom. In this way, increased mass of base atomic nuclide helps in eco friendly production of thermal energy in large quantity. For this purpose we consider Iron-56 as a fuel. In a simplified view, under strong nuclear attractive forces, Iron-56 absorbs hydrogen atom as a neutron and by emitting 1MeV equivalent thermal energy transforms to Iron-57. Thus, one gram of Iron-56 can generate 1000MJ of heat with 50% efficiency. In a shortcut approach, by bombarding powder and semi-liquid forms of Iron-56 with direct neutrons coming from neutron source, our proposal can be tried, understood and verified experimentally.
Weibull Regression Model on Hospitalization Time Data of COVID-19 Patients at Abdul Wahab Sjahranie Hospital Samarinda
Authors: Khairunnisa Siti Fatimah , Suyitno Suyitno , Mahmuda Siti
Published: January 2023

The Weibull regression model is a Weibull distribution that is directly influenced by covariates. The Weibull regression model discussed in this study was the Weibull survival and the Weibull hazard regression model. The Weibull regression model in this study was applied to the hospitalization time data of COVID-19 patients from May to September 2021 at the RSUD Abdul Wahab Sjahranie Samarinda. The event of the study is recovery of patient. This study aims to obtain Weibull survival and hazard regression model to the hospitalization time data of Covid-19 patients, to obtain the factors that affect the chance of not recovering (survive) and the recovery rate of Covid-19 patients, and also to interpret Weibull survival and hazard regression models based on the obtained model. In this study, the Maximum Likelihood Estimation (MLE) was used as the parameter estimation method. The closed form of the Maximum Likelihood (ML) estimator cannot be found analytically, and the approximation of ML estimator was found using Newton-Raphson iterative method. Based on the test results, the factors that influence the chance of not recovering and the recovery rate of COVID-19 patients were comorbidities history. The chance of not not recovering (survive) for patients who have a history of comorbidities is greater than the chance of not recovering (survive) for patients who have no history of comorbidities. The recovery rate for COVID-19 patients who have a history of comorbidities is 0,5358 times the recovery rate for patients without a history of comorbidities.
The Construction of Armendariz Ring using Formal Triangle Matrix Ring
Authors: Anwar Aidah Nabilah , Amir Amir Kamal , Hinding Nurdin
Published: January 2023

Trinion and Quaternion numbers are one of the hypercomplex numbers which is an extensions of the complex number. From Trinion and Quaternion numbers, a bimodule can be formed which is an ordered pair of Trinion and Quaternion. Furthermore, Trinion number, Quaternion number, and their bimodule can be formed into a  Formal Triangle Matrix. The Formal Triangle Matrix is better known as the Upper Triangle Matrix. Since Trinion number, Quaternion number and their bimodule are rings, then the Formal Triangle Matrix can be called as the Formal Triangular Matrix Ring. The purpose of this study is to construct the Armendariz Ring using the Formal Triangular Matrix Ring. The obtained results will show that the Formal Triangular Matrix Rings are the -Skew Armendariz Ring and the -Skew -Armendariz Ring, where  is a Ring Endomorphism and  is -derivation.
Modeling of COVID-19 Cases in Indonesia with the Method of Geographically Weighted Regression
Authors: Arifin Samsul , Herdiani Erna Tri
Published: January 2023

The COVID-19 pandemic has spread to all corners of the world, including Indonesia. Various factors affect the spread of COVID-19 cases in an area so that the government and the community can make prevention and control efforts so that this pandemic does not spread. This study aims to model the number of COVID-19 cases in Indonesia using the Geographically Weighted Regression (GWR) method, which develops a linear regression model. The GWR model uses weights based on the location of each observation so that the model is obtained for that location. Determine the weighting on the bandwidth. Optimum bandwidth selection is obtained by minimizing the value of Cross-Validation (CV). The GWR model using a fixed bisquare kernel weighting function has an optimum bandwidth of 0.999948 with a minimum CV value of 397.076.128 with a coefficient of determination R2   of 85.1 %. The results show that the number of positive cases positively correlates with the number of patients who died from COVID-19. In contrast, the number of recovered patients negatively correlates with the number of patients who died from COVID-19.
Continuous $K$-$g$-fusion frames in Hilbert $C^*$-modules
Authors: Nhari Fakhr-dine , Park Choonkil , Rossafi Mohamed
Published: January 2023

In this paper, we introduce the concept of continuous $g$-fusion frame and $K$-$g$-fusion frame in Hilbert $C^{\ast}$-modules. Furthermore, we investigate some properties of them and discuss the perturbation problem for continuous $K$-$g$-fusion frames.
Communities Perception and Adaptation Towards The Tidal Flood Disaster (Case Study: Belawan City – Medan)
Authors: Mardianta Anthoni Veery , Nasution Zaid Perdana , Purba Ridhoi Meilona
Published: January 2023

Pemanasan global dan perubahan iklim berdampak terhadap peningkatan permukaan air laut. Akibatnya, terjadi banjir Rob di kawasan permukiman pesisir. Masyarakat pesisir tidak selalu mengganggap banjir rob sebagai bencana sehingga respon dan mitigasi juga lambat. Kota Belawan yang terletak di Utara Kota Medan rutin mengalami banjir rob. Tujuan penelitian ini adalah mengidentifikasi persepsi dan adaptasi masyarakat Belawan dalam menghadapi banjir Rob. Pengumpulan data dilakukan melalui tiga kegiatan workshop, dengan peserta kepala lingkungan, anggota Badan Pemberdayaan Masyarakat, perwakilan organisasi masyarakat (karang taruna, kaum ibu) dan Lembaga Swadaya Masyarakat di Kelurahan Belawan II. Hasil analisis data menunjukkan terjadi perubahan persepsi dari banjir bukan sebagai bencana menjadi bencana yang mengganggu dan merugikan seiring dengan tingkat kerugian yang dialaminya. Perlunya upaya adaptasi secara bertahap seiring dengan perkembangan resiko yang dialaminya. Pengalaman positif akan membantu masyarakat memaksimalkan pengelolaan resiko bencana dari, oleh, dan untuk masyarakat.
Application of Project-Based Learning in Developing Environmental-Based Spatial Thinking Skills
Authors: Pangastuti Era Iswara , Nurdin Elan Artono , Kurnianto Fahmi Arif
Published: January 2023

Pembelajaran abad ke-21 menekankan pada kemampuan kolaboratif, salah satunya kemampuan berpikir spasial. Upaya yang dapat dilakukan untuk mengembangkan kemampuan berpikir spasial dengan menerapkan model pembelajaran berbasis proyek, dimana mahasiswa mengeksplorasi permasalahan dan menyusun kerangka solusi. Tujuan dari penelitian ini ialah untuk mengetahui pengaruh penerapan model pembelajaran project based learning dalam mengembangkan kemampuan berpikir spasial berbasis lingkungan. Metode penelitian menggunakan quasi eksperimen dengan pendekatan kuantitatif. Desain penelitian menggunakan one group time series design, yaitu menggunakan 1 kelas eksperimen tanpa kelas kontrol. Kelas eksperimen yaitu mahasiswa yang menempuh mata kuliah Penginderaan Jauh untuk Kewilayahan pada Tahun Akademik 2021-2022 Genap. Kelas eksperimen diberi permasalahan dan proyek yang terjadi di lingkungan sekitar. Setiap kelompok kecil dalam kelas eksperimen menggunakan data spasial seperti citra penginderaan jauh untuk mengembangkan kemampuan berpikir spasial. Hasil penelitian menunjukkan penerapan project based learning mampu menstimulasi mahasiswa untuk menyusun kerangka solusi pada proyek berbasis lingkungan dan mengembangkan kemampuan berpikir spasial.
Distribution Of Water Quality As A Result Of Seawater Intrution In Settlement Area Around Pancer Beach
Authors: Sutrisno Cindy Yulia , Purnomo Maulana Garaudy Purnomo , Saullah Dony , Khunainin Rani , Ramadhani Biki , Lestari Carina Nur Indah , Pangastuti Era Iswara
Published: January 2023

Kawasan permukiman di wilayah pesisir Pantai Pancer, Desa Puger Kulon Selatan, Kabupaten Jember, memiliki karakteristik tersendiri terutama terkait dengan kondisi air yang digunakan sebagai air konsumsi. Distribusi air yang digunakan untuk konsumsi penting untuk dilakukan karena pada wilayah tersebut terdapat kecenderungan terjadinya intrusi air laut. Tujuan dari penelitian ini untuk melihat ditribusi kualitas air sebagai akibat intrusi air laut di wilayah permukiman sekitar Pantai Pancer. Penelitian ini merupakan penelitian kuantitatif dengan metode survey lapangan. Survey lapangan dilakukan untuk mengukur pH, TDS, warna, rasa, dan bau air di permukiman sekitar Pantai Pancer. Hasil yang didapatkan, yaitu terdapat intrusi air laut di permukiman sekitar Pantai Pancer, hal ini dibuktikan dengan nilai pH dan TDS di bawah baku mutu air. Instrusi air laut ini terbagi dalam klasifikasi tinggi, sedang, dan rendah sesuai dengan hasil pengukuran sampel air konsumsi di wilayah permukiman sekitar Pantai Pancer.
Art Education in Culturing The Value of Local Wisdom to Support Tourism in Kuok District
Authors: Zufriady Zufriady , Munjiatun Munjiatun , Faizah Hasnah , Rahman Emustian , Hermandra Hermandra , Ramadani Shalamet
Published: January 2023

Besar harapan bagi masyarakat Kuok khususnya di Pulau Belimbing yang menjadi tempat pelestarian budaya yang sering dikunjungi oleh wisatawan lokal dan wisatawan mancanegara menjadi pendorong masyarakat dalam mendidik anak-anak belajar kesenian mereka sebagai salah satu upaya pelestarian dan penanaman nilai kearifan lokal. Data diperoleh dari wawancara dan observasi lapangan di kenagarian kuok. Hasil diperoleh bahwa saat sekarang ada tiga sanggar seni masyarakat dan beberapa sanggar seni yang ada di sekolah formal berada di kegiatan ekstrakurikuler di tingkat SD, SMP, MAN dan SMK. Kesenian yang dipelajari berupa musik calempong, silek bungo, tari pasombahan, sandiwara, komposis musik tradisional dan garapan tari tradisional.  Kesenian berkembang di sanggar dan sekolah tersebut sering ditampilkan pada ajang wisata seperti kunjungan tamu di rumah lontiok, penyambutan tamu di kegiatan kedinasan dan acara masyarakat dan perlombaan pada festival yang dilaksanakan oleh dinas pariwisata dan dinas pendidikan.
Predictions of Food Security Based on Land Requirements in Sukoharjo Regency in 2032
Authors: Noviani Rita , Utomowati Rahning , Saputra Aditya Eka , Marfu’ah Istiyanti Nur
Published: January 2023

Urbanisasi memberikan banyak dampak pada suatu wilayah salah satunya adalah terjadinya fenomena urban Sprawl yang berdampak pada wilayah pinggiran kota. Kabupaten Sukoharjo sebagai salah satu Wilayah Peri Urban (WPU) yang terdampak dari perkembangan Kota Surakarta mengalami peningkatan jumlah penduduk dan diproyeksikan akan terus meningkat sampai tahun 2032. Hal ini menyebabkan semakin sempitnya lahan pertanian yang akan berdampak pada tingkat ketahanan pangan di wilayah tersebut. Melalui proyeksi penduduk dan pemodelan penggunaan lahan tahun 2032 berbasis cellular automata dilakukan perhitungan kebutuhan lahan setara beras sebagai upaya untuk memprediksi tingkat ketahanan pangan Kabupaten Sukoharjo di tahun 2032 mendatang. Berdasarkan hasil perhitungan diketahui bahwa tingkat ketahanan pangan Kabupaten Sukoharjo tahun 2032 diprediksi akan mengalami defisit pangan diseluruh Kecamatan, kondisi ini tentunya memerlukan perhatian khusus dari pemerintah sebagai upaya prefentif agar ketahanan pangan di Kabupaten Sukoharjo tetap terjaga dan dapat mencapai tingkat swasembada pangan.
Perubahan Garis Pantai Sebagai Akibat Dari Abrasi Dan Akresi Di Kawasan Pesisir Pantai Barat Sumatera Barat
Authors: Aldian Richi , Zuryani Elvi , Ulni Arie Zella Putra
Published: January 2023

Hasil peta perubahan garis pantai tahun 2011-2021 menunjukkan perubahan garis pantai dalam 10 tahun terakhir. Perubahan ini terjadi di pantai barat Sumatera Barat yang mengalami kerusakan terparah, pertama Kabupaten Pasaman Barat dengan abrasi sebesar -6290,40 m dan kedua Kabupaten Pesisir Selatan dengan akresi 5831,65 m. Kedua kabupaten ini memiliki kerusakan pantai yang lebih dominan selama periode 2011-2021. Faktor-faktor yang mempengaruhi perubahan garis pantai Sumatera Barat disebabkan oleh abrasi dan akresi, dimana kedua faktor tersebut lebih berpengaruh dalam mengubah garis pantai di Pantai Barat Sumatera Barat. Kabupaten Pasaman Barat mengalami proses abrasi terparah yaitu -6290,40 m, perubahan ini sepanjang 120 km dan Kabupaten Pesisir Selatan memiliki proses akresi terparah yaitu 5831,65 m perubahan ini sepanjang 197 km. Penelitian ini bertujuan untuk mengetahui perubahan garis pantai di Pantai Sumatera Barat tahun 2011-2021 dan untuk mengetahui faktor-faktor yang menyebabkan terjadinya perubahan garis pantai di Pantai Sumatera Barat. Jenis penelitian yang digunakan dalam penelitian ini adalah deskriptif kuantitatif. Populasi dalam penelitian ini adalah Pantai Barat Sumatera Barat dengan panjang garis pantai ± 597,8 Km. Pengambilan sampel dalam penelitian ini menggunakan total sampling dengan sampel seluruh Pantai Barat Pantai Sumatera Barat.
Carbon Stock Analysis in Peat Soil at Rasau Jaya Tiga Village
Authors: Buwono Sri , Harjanti Diah Trismi , Anasi Putri Tipa , Wiyono Hadi , Apriliyana Muhammad Iqbal
Published: January 2023

Pemanasan global merupakan fenomena yang ditandai adanya perubahan pola curah hujan dan peningkatan suhu harian rata-rata. Di atmosfer gas rumah kaca dikenal sebagai penyebab utama terjadinya pemanasan global. Lahan gambut sebagai kawasan yang mengandung karbon terrestrial memiliki peran ganda yaitu sebagai penyerap karbon dan sebagai sumber emisi karbon di atmosfer. Aktivitas manusia menjadi salah satu pemicu terjadinya pemanasan global terutama aktivitas di lahan gambut. Pada penelitian ini metode yang digunakan adalah kuantitatif deskriptif. Adapun analisis data yang dilakukan meliputi pengolahan dan penyajian data. Pengolahan data dilakukan dengan pengujian laboratoium pada sampel tanah yang telah diambil. Hasil dari laboratorium dianalisis kemudian didkripsikan. Pengambilan sampel tanah dilakukan secara acak guna mendapaktakn perbedaan kandungan karbon organik pada tanah gambut. Lokasi pengabilan sampel adalah Desa Rasau Jaya Tiga yang didominasi oleh kandungan karbon tinggi pada tanah gambut pada kedalaman 0-10 cm. Perbedaan kandungan karbon pada lapisan tanah gambut desa Rasau Jaya Tiga dipengaruhi oleh perbedaan penggunaan lahan di lokasi pengambilan sampel.