bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of ontologies for automating computational processes in the energy pipeline system design
Authors:   Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences, Stennikov V.A. , Barakhtenko E.A. ,   Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences,, Sokolov D.V ,   Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences, Mayorov G.S ,   Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences
Published: December 2023

Designing pipeline energy systems (heat, water, oil, gas supply, etc.) is a complex task that requires the use of specialized software to solve it. It is proposed to use ontologies to structure knowledge that is used in the processes of software development automation and organization of the computing process and user interface content. The proposed methodological approach includes the following components: the composition of ontologies, tools for implementing ontologies, and the methods for constructing ontologies (metaontologies, ontologies of specific classes, ontologies of design tasks, software ontologies). It is shown that the use of ontologies allows one to obtain the following results: a single platform for research and development of new methods, algorithms, mathematical models of pipeline systems and their elements; the ability to automate access to data for different types of systems and tasks; and automated software system construction. An example of ontology system application in software development is presented. The architecture of a software system for solving problems of designing pipeline systems of various types and purposes is given.
An integrated approach to the analysis of argumentative relationships in scientific communication texts
Authors:   A.P. Ershov Institute of Informatics Systems of Siberian Branch of RAS, Sidorova E.A. , Akhmadeeva I.R. ,   A.P. Ershov Institute of Informatics Systems of Siberian Branch of RAS, Zagorulko Yu.A. ,   A.P. Ershov Institute of Informatics Systems of Siberian Branch of RAS, Kononenko I.S. ,   A.P. Ershov Institute of Informatics Systems of Siberian Branch of RAS, Sery A.S. ,   A.P. Ershov Institute of Informatics Systems of Siberian Branch of RAS, Chagina P.M. ,   A.P. Ershov Institute of Informatics Systems of Siberian Branch of RAS, Shestakov V.K. ,   A.P. Ershov Institute of Informatics Systems of Siberian Branch of RAS
Published: December 2023

The problem of automatic analysis of argumentation in scientific communication texts is considered. Argumentation is understood as an ordered set of arguments used to support a certain thesis. An argument includes at least one premise and one conclusion, connected by an argumentative relation. The purpose of the work is an experimental study of neu-ral network approaches to solving the problem of searching and extracting argumentative relations between statements located closely in the text. The study was conducted on a corpus of texts with argumentative markup created using the previously developed web platform. The corpus included texts of scientific news, analytical articles from the Habr web-site, scientific articles and reviews. Datasets for machine learning were built based on these texts. To improve the quali-ty of neural network models training, these sets were supplemented with new data by using automatic paraphrasing and double translation methods. Two approaches to training models were considered: the first one with labeling of indi-cators in texts and the second one with preliminary training of a language model on the task of predicting indicators. To evaluate the models performance, an approach was proposed based on estimates of agreement between experts, usu-ally used to compare markups of manually created texts. A comparison of agreement coefficients between experts and trained models showed that the quality threshold for extracting argumentative relations was almost reached on the model with labeled indicators. A manual analysis of model errors was carried out by visualizing the obtained results. Thus, the novelty of the work lies in the application of an integrated approach to creating data sets, training models and evaluating the results obtained from the automatic extraction of argumentative relations.
LncRNA MIR31HG promotes cell proliferation and invasive properties of the MCF-7 cell line by regulation of receptor-interacting serine-threonine kinase 4
Authors: Tang Jingwei , Zhang Xiaojing , Chen Chunchun , Wang Binbin , Chen Yansong , Zhang Hao , Qiao Mengxiang , Liu Xianfu , Guo Wei , Jin Gongsheng
Published: December 2023

LncRNA MIR31HG is involved in many types of cancers, while its roles in breast cancer are still unknown. The current study aimed to explore the function of lncRNA MIR31HG in breast cancer and the underlying mechanisms. Stable expression cell lines were constructed by using lentivirus particles. MTT assay was used to determine cell viability. Wound healing and Transwell assay were used to determine cell migration and invasion, respectively. The changes in biomarkers were determined by using qPR-PCT and Western blotting, respectively. BALB/c nude mice were used to generate a xenograft mouse model. MIR31HG regulated cell proliferation, migration and invasion in MCF7 cells. Besides, MIR31HG regulated N-Cadherin, Vimentin, and E-Cadherin. MIR31HG positively regulated receptor-interacting serine-threonine kinase 4 (RIPK4), as supported by the fact that knockdown of MIR31HG suppressed RIPK4, and the knockdown of RIPK4 did not affect MIR31HG. Additionally, we found that RIPK4 regulated cell proliferation, migration and invasion in MCF7 cells. The changes in RIPK4 regulated N-Cadherin, Vimentin, and E-Cadherin. Consistently, in vivo studies showed that the knockdown of MIR31HG or RIPK4 reduced tumor size in xenograft animal models. The roles of lncRNA MIR31HG in breast cancer were associated with its regulatory effects against RIPK4.
Monitoring of ball bearings via vibration analysis and envelope technique for predictive maintenance purposes
Authors: Pessoa Adiel , Büchner Paulo Cezar
Published: December 2023

Bearings are one of the primary and most crucial machine components in the industry and transportation systems, since they are critical components in these systems, their failure can lead to various losses and significant damages. Despite the advanced stages of development and manufacturing processes, approximately 90% of unplanned machine shutdowns are attributed to bearing failures. These failures can occur in various ways, making it essential to monitor the bearing's deterioration to replace it before it reaches a critical condition for the industry, machine or vehicle's operation. To monitor ball bearing failures, a range of vibration monitoring techniques are employed, encompassing envelope analysis, kurtosis, bi-spectrum, and wavelet analysis. In this case, frequency graphs based in the signals of the bearings inner race will be generated, through a new signal acquisition system, using of envelope analysis by frequency filters, Hilbert Transform and Fast Fourier Transform (FFT). However, detecting and analyzing these signals can be challenging due to weak signals and noise masking vibration patterns. Although current techniques are effective, they have limitations, such as requiring expert analysis, difficulty in detecting early-stage faults, and inability to differentiate between different fault types. Current techniques, such as envelope and wavelet analysis, are effective but have limitations. New technologies and methods, are being explored to improve fault detection and classification, providing early detection of faults and differentiation between different fault types, ultimately reducing the impact of ball bearing failures on machines and industries. This paper proposed to present a study of the ball bearing failure through vibration analysis from early-stage to advanced-stage of damage for predictive maintenance purposes, applying the envelope and FFT together with programming, to enable the identification of defects in the bearing, especially in the inner race, through a signal acquisition system that can explain the presence of the defect through frequency graphs. Thus, obtaining results that show the presence of defects in three different bearings, with gradual defect magnitudes, differentiating these data from an ideal bearing. The next step we will intend to explore the new technologies like machine learning and artificial intelligence, to also analyze all variants of defects in a bearing.
Shakespeare Comes to Bengal
Authors: Chaudhuri Sukanta
Published: December 2023

India has the longest engagement with Shakespeare of any non-Western country. In the eastern Indian region of Bengal, contact with Shakespeare began in the eighteenth century. His plays were read and acted in newly established English schools, and performed professionally in new English theatres. A paradigm shift came with the foundation of the Hindu College in Calcutta in 1817. Shakespeare featured largely in this new ‘English education’, taught first by Englishmen and, from the start of the twentieth century, by a distinguished line of Indian scholars. Simultaneously, the Shakespearean model melded with traditional Bengali popular drama to create a new professional urban Bengali theatre. The close interaction between page and stage also evinced a certain tension. The highly indigenized theatre assimilated Shakespeare in a varied synthesis, while academic interest focused increasingly on Shakespeare’s own text.

Beyond the theatre and the classroom, Shakespeare reached out to a wider public, largely as a read rather than performed text. He was widely read in translation, most often in prose versions and loose adaptations. His readership extended to women, and to people outside the city who could not visit the theatre. Thus Shakespeare became part of the shared heritage of the entire educated middle class. Bengali literature since the late nineteenth century testifies strongly to this trend, often inducing a comparison with the Sanskrit dramatist Kalidasa. Most importantly, Shakespeare became part of the common currency of cultural and intellectual exchange.
Competing for Supremacy: The Origins of Shakespeare Studies in Japan
Authors: Uchimaru Kohei
Published: December 2023

This paper reveals that Shakespeare studies in Japan originated through competing notions of literary studies. Traditional Japanese ideas about literature differed markedly from Anglophone ones, which focused on grammatical and literary-historical facts based on the notion of Shakespeare’s universal appeal. Their principles were contested by Sôseki Natsume, who questioned Shakespeare’s vaunted universality between the 1900s and the 1910s. Although specialist scholars began forming Shakespeare as an object of disinterested study in the 1920s, it was contested again by some reflective scholars who wished to employ Shakespeare as a means of liberal education. These contests for supremacy spawned divergent origins of Shakespeare studies in Japan.
Ahmadiyya Congregation in the Shadow of Religious Politics: Tensions Between Law and Freedom of Religion
Authors: Fadhil Moh , Sudrajad Muhammad Rosyad
Published: December 2023

The right to freedom of religion is a fundamental right. For Indonesian people, religion is not only seen as a ritual but also as a part of the social relations between society members and the state. However, the sacred value of religion in social relations is degraded through normative recognition in the form of official religious politics. The policy does not actually engender order and justice. On the contrary, official religious political policies and restrictions on religious freedom raise widespread discriminatory practices that affect religious minority groups, such as the Indonesian Ahmadiyya Community. The purpose of this study is to examine the tension between the law and the right to freedom of religion or belief in cases of discrimination against the Ahmadiyya Community of Indonesia from the point of view of the legal theory of legal disorder. The research methods used are socio-legal with a statutory approach, a conceptual approach, and a critical legal study approach using legal disorder theory. This research emphasizes that the Ahmadiyya, as a sect in Islam, has the right to freedom of religion within the Forum Internum. In practice, the official religious politics subordinated the rights of religious freedom under the control of religious majoritarianism. However, empirical facts show that the multireligious social context of Indonesian society places the situation in a state of irregularity. Through the disorder of law theory, Sampford opens the horizons of the legal paradigm, showing that seeing and answering various irregularities cannot be done through the lens of order.
The Educational Axiology of Al-Maqbul Traditional Pesantren
Authors: Sulton Ahmad
Published: December 2023

This study is prompted by criticism to the educational activities undertaken by Islamic educational institutions for adopting Western educational axiology. On the contrary, as a reputable school, Pesantren Al-Maqbul refuses to make transformation into a modern one, and still preserves the traditional education system. This study aims to explore the reasons Pesantren Al-Maqbul maintains the traditional education system with perspective of educational axiology. This study answers the research qustions about what are the ethical and aesthetic values at the Pesantren Al-Maqbul?, and what are the education purposes at the Pesantren Al-Maqbul?. This study uses a qualitative approach that seeks to describe data from the field and literature related to the axiology of traditional pesantren education. Observation, interview and documentation techniques were used to obtain data related to the discussion, which were then analyzed. This research resulted in findings, namely: (1) The reasons for the Pesantren Al-Maqbul to maintain the traditional education system cannot be separated from the axiological construction of its education; (2) The influence of the axiological basis of education can be identified from the tendency of normative values, namely being bound by Islamic provisions in the aesthetics of education at Pesantren Al-Maqbul; (3) The tendency of akhlāq at-Ṭā'ah (obedience ethics) and akhlāq al-Fanā' (illuminative ethics) is found in educational ethics at Pesantren Al-Maqbul; (4) The aim of education at the Pesantren Al-Maqbul is to study Islamic religious knowledge (tafaqquh fi al-din). There is no space for general knowledge (science) to be studied at the Pesantren Al-Maqbul.
Diseases affecting barley: scald
Authors:   Leibniz Institute of Plant Biochemistry, Germany, Knogge Wolfgang
Published: December 2023

Scald (leaf blotch), caused by the hemibiotrophic pathogen Rhynchosporium commune, is one of the major diseases of barley worldwide. Typical disease symptoms consist of necrotic areas on the leaf blades. Yield losses are manifested as reduced kernel quality, size and number per ear. This chapter reviews the origins, epidemiology and other characteristic features of scald, and considers the agricultural consequences of the pathogen’s biology. It then considers resistance breeding programmes in which more than a dozen major resistance genes as well as quantitative trait loci have been identified, and discusses strategies to minimize the damage caused by the disease comprising agricultural practices and different fungicides.
Formation of hydrocarbon gases in Domanik shale during hydrous pyrolysis
Authors: Bushnev Dmitry , Burdelnaya N. , Ilchenko A. , Sennikova Ya.
Published: December 2023

A sample of Domanik shale from a stratotype section along the river Chut (Ukhta District, Komi Republic, Russia) was affected to temperatures of 250—375 °C in an autoclave in the presence of water. The composition and yield of the resulting hydrocarbon gases was studied by gas chromatography. The yield of all C1—C5 hydrocarbons grew exponentially with increasing temperature in the autoclave. The total yield of gaseous hydrocarbons C1—C5 at 375 °C was 71 mg/g Corg and reached 18 mg/g Corg for methane. The increasing temperature in the autoclave resulted in decreasing ratio of methane/C2+ gases, which reflected a changing mechanism of methane formation at the corresponding stage of the thermal evolution of the Domanik organic matter.
The Effect of Electronic Money Transactions on Household Consumption
Authors: Prihantono Gigih , Kholifah Afif Kusnul
Published: December 2023

This study aims to determine the effect of the volume of electronic money transactions on household consumption in Indonesia, Malaysia, Thailand, and Singapore from 2012 to 2019. The seemingly unrelated regression method was chosen due to heteroscedasticity and contemporaneous correlation problems in the model. This method estimates the relationship between the volume of electronic money transactions and household consumption. In this study, electronic money is used in the form of chips and servers. The results of this study indicate that Indonesia, Malaysia, Thailand, and Singapore have a significant positive relationship between the volume of electronic money transactions and household consumption. It indicates that consumers already have confidence in the non-cash payment transaction system, especially electronic money, and feel that using it is more efficient, fast, and secure.
Poverty Line Based on the Large Archipelagic Area in Indonesia in Taking Poverty Alleviation Policies
Authors: Faradis Royhan , Uswatun Nurul Afifah
Published: December 2023

Various efforts to overcome poverty have been carried out by the government but the number of poor people is still quite high. Based on the 1945 Constitution, the Indonesian government has a mandate to realize social welfare for all people. Well-being is characterized by the fulfillment of the material, spiritual, and social needs of citizens. In other words, prosperity can be achieved through poverty alleviation. In alleviating poverty, existing policies have not interpreted the poverty line based on division in Indonesia. This study analyzes more deeply the role of urban and rural poverty lines in the division of regions in Indonesia. The method used is descriptive statistics by grouping provinces into 7 categories of large islands in Indonesia. In addition, the MANOVA analysis method was also used in this study to answer the role of the region on the size of the poverty line. What is interesting about this study is the finding that regional differences play a significant role in influencing the size of the poverty line. This research also revealed the fact that the poverty line gap between regional categories is wide at a significance level below 0.05 in the MANOVA test of between subjects effects.
The Influence of Non-Cash Payment Transactions on Economic Growth in 5 ASEAN Countries
Authors: Ferra Yesi , Ajija Shochrul Rohmatul
Published: December 2023

Technological advances are currently growing rapidly, financial technology is no exception. The development of financial technology has had an impact on innovation in the payment system from a cash payment system to a non-cash payment system. The purpose of this study was to determine the effect of non-cash payment transactions on economic growth in 5 ASEAN countries. The variable of economic growth in this study is calculated through the growth of real GDP published by the World Bank (WDI), and the variable of non-cash payments in this study is assumed to be through the growth of the transaction value of debit cards, credit cards, e-money and cheques issued by the Bank International of Settlement (BIS). The data used in this study is secondary data in the form of panels (annual) in 5 ASEAN countries from 2012 to 2019. The analytical method used in this study is the panel data regression method. The results of this study indicate that the growth in the value of non-cash payment transactions in the form of debit cards and e-money has proven to be able to stimulate economic growth in these countries. Meanwhile, payments by credit cards and cheques had no impact on economic growth. This is because debit cards provide direct access to consumers personal funds, making it easier for the public to consume goods and can also contribute to economic growth. As an electronic payment instrument, e-money has also been proven to provide benefits for alternative payments, especially for micro and retail payments. Through the use of e-money, the goverment’s income can increase from the increasing number of customers who have used e-money payments, so that this can encourage an increase in economic growth.
Моделі для формування ринкової вартості нерухомості
Authors: Макарчук Л. , Ліхоузова T.
Published: December 2023

Розглянуто проблему непридатності наявної питної води для безпечного споживання. Запропоновано використати моделі, побудовані методами машинного навчання, щоб при аналізі проб води можна було зосередитися на основних параметрах, аби обмежені ресурси не спрямовувалися без необхідності на менш важливі ознаки. При побудові моделей використано три методи: Decision Tree Classifier, Naive Bayes, K-Nearest Neighbors. Кожен з цих методів дає можливість покращити модель за допомогою підбору параметрів, що і було зроблено. Реалізовано три моделі: модель DTC з використанням ентропії при розбитті вузла, модель Naive Bayes з найкращим значенням var_smoothing та модель KNN з оптимальним числом «сусідів». Для оцінки ефективності запропонованих моделей використано тестові дані, що не використовувались для побудови моделей, та кілька різних критеріїв оцінки якості моделей.

Бібл. 5, іл. 11
Моделі для прогнозування затримок авіарейсів
Authors: Тарасьонок Д. , Олійник Ю. , Ліхоузова T.
Published: December 2023

В статті розглянуто проблему покращення роботи аеропортів та авіаперевізників. Запропоновано використати моделі та технології машинного навчання для прогнозування затримок авіарейсів. Значна частина зусиль була спрямована на збір якісних даних, що стосуються як авіаперельотів, так і факторів, що на них потенційно можуть вплинути. Завдяки цьому сформовано набір даних про майже півмільйона перельотів. Метою роботи є прогнозування затримок авіарейсів, яке робилось як в кількісному (затримка на скільки хвилин), так і в якісному (затримка перевищує 15 хвилин) варіантах. Було побудовано 5 регресійних та 5 класифікаційних моделей трьох різних видів для прогнозування затримок вильотів в аеропорті Атланта, США. Для оцінки ефективності запропонованих моделей використано декілька різних мір якості, які різнопланово відображають доцільність застосування цих моделей в розрізі потреб кожної задачі. Для найкращої моделі медіанна абсолютна помилка дорівнює 5 хвилин, що є чудовим результатом у передбаченні затримок вильотів авіарейсів. Точне прогнозування затримок рейсів може надати рекомендації логістичним компаніям до більш точного планування своїх перевезень, а в цій галузі це є одним із головних моментів в отриманні прибутку.

Бібл. 20, іл. 13
Підхід до створення інформаційної системи для ведення обліку присутності за допомогою камери в режимі реального часу
Authors: Гавриленко О. , Богданова H. , Сисак І.
Published: December 2023

Мета та завдання дослідження, наведеного в даній роботі, – створити інформаційну систему моніторингу відвідуваності студентів вищих навчальних закладів, за допомогою камери в режимі реального часу. Дана розробка (штучний інтелект) була створена за допомогою спрощення та вдосконалення окремих процесів розпізнавання обличь за рахунок машинного навчання з застосуванням алгоритмів для обробки та підготовки даних. Завдання розроблюваної системи – це моніторинг відвідуваності студентів вищих навчальних закладів, яка буде вести облік присутності студентів за допомогою live-камери. Об’єкт дослідження – процес розпізнавання обличь на відео. Предмет дослідження – методи та моделі розпізнавання обличь на відео.

Бібл. 9, іл. 6, табл. 1
Анализ перетворювача з чотирнадцятизонним регулюванням напруги
Authors: Михайленко В. , Святненко В. , Цивінський С. , Войтюк В.
Published: December 2023

У статті проведено аналіз електромагнітних процесів в електричних колах з напівпровідниковими комутаторами. Створено математичну модель перетворювача з дванадцятизонним регулюванням вихідної напруги для аналізу електромагнітних процесів у напівпровідникових перетворювачах з широтно-імпульсним регулюванням. Наведено графіки, що відображають електромагнітні процеси у електричних колах. Математична модель напівпровідникового перетворювача також використовується для дослідження перехідних процесів у напівпровідникових перетворювачах з активно-індуктивним навантаженням. Розвинуто метод багатопараметричних функцій, які входять до алгоритмічних рівнянь аналізу усталених і перехідних процесів у розгалужених електричних колах з напівпровідниковими комутаторами і реактивними елементами, в напрямку урахування особливостей використання фазних і лінійних напруг мережі електроживлення. Розроблено нову математичну модель усталених і перехідних процесів у електричних колах напівпровідникових перетворювачів модуляційного типу з багатоканальним зонним використанням фазних напруг трифазної мережі живлення без урахування втрат електроенергії у комутаторах для швидкої оцінки впливу параметрів навантаження на характеристики регульованих синусоїдних і постійних напруг. Результати цієї роботи можна використати для розвитку методу багатопараметричних модулюючих функцій для спрощення аналізу перехідних процесів у електрикних колах без врахуванням втрат у ключових елементах.

Бібл. 4, іл. 3
Методи обробки даних відеокамер спостереження транспортного руху в реальному часі
Authors: Савастру С. , Стеценко I.
Published: December 2023

Метою даної роботи є підвищення ефективності існуючих методів оцінки стану дорожнього трафіку за даними з камер відеоспостереження та розробка нових методів. Обʼєктом дослідження є програмні засоби та методи аналізу станудорожнього трафіку за даними з відеопотоку. У дослідженні розглянуто методи аналізу відеопотоку для оцінки трафіку на ділянці дороги, у тому числі показник завантаженості ділянки дороги Traffic Lane Congestion Ratio (TLCR), вказані обмеження методу його розрахунку, пов’язані з перспективою та запропоновано способи їх вирішення за допомогою введення показника Modified Traffic Lane Congestion Ratio (MTLCR). Вперше запропоновано показник інтенсивності руху Traffic Lane Intensity Ratio (TLIR), який дає змогу оцінити поточну інтенсивність трафіку на ділянці дороги та швидко адаптуватись до змін на дорозі. Система двох показників MTLCR та TLIR дає змогу точно визначати завантаженість дороги та інтенсивність руху транспорту. Розроблено архітектуру програмного засобу для моніторингу показників за даними з відеопотоку в реальному часі.

Бібл. 7, іл. 4, табл. 3
A MULTIFACETED APPROACH TO ASSESSING INTERMODAL TRANSPORT
Authors: NEHRING Karol , LASOTA Michał , ZABIELSKA Aleksandra , JACHIMOWSKI Roland
Published: December 2023

The article presents the issues of land intermodal transport, taking into account their impact on the natural environment. The subject of the research is the use of the ELECTRE I method as a decision support tool in the assessment of various variants of transport, taking into account intermodal transport, i.e., transport on the initial and final sections of the route with the use of road transport and transport in the middle longest section by rail transport. This significantly reduces the emission of harmful compounds emitted into the atmosphere by the transport industry. In connection with the above, research on the possibility of choosing transport routes using mixed modes of land transport has been presented. The analyzed transport from point A to destination B considers two reloading operations at the land intermodal terminals. For each of the variants, indicators related to emissions from fuel consumption, the total time and cost of the process, the share of rail transport in the entire process, and the distance of road transport were calculated. The final analysis of the results shows that the following parameters had the most significant impact on the course of the research: the level of carbon dioxide emissions into the atmosphere and the total cost of the process for a given variant. Based on the conducted research, it can be concluded that the variant of transporting cargo from Rybnik to Świdnik with reloading at the PCC Intermodal terminals in Gliwice and the Lublin Container Terminal turned out to be the most advantageous solution.
TWO-DIMENSIONAL MODELING OF CAR RELIABILITY DURING WARRANTY PERIOD
Authors: SLIŻ Piotr , WYCINKA Ewa , JACKOWSKA Beata
Published: December 2023

The paper focuses on presenting the concept of two-dimensional modeling of passenger car reliability during the warranty period. The main objective of this paper is to detect the regularity in the intensity of the number of first failure reports during the warranty period. The two-dimensional distribution of the time and mileage of failure-free exploitation is estimated. The period from the date of purchase to the first warranty repair is analysed. The concept presented incorporates the existing state of knowledge on two-dimensional warranties, expanding it through the use of a nonparametric approach and probability smoothing with the use of P-splines. The estimation involved censored data, i.e., data on vehicles that were not submitted for warranty repair within the warranty limits of time and mileage. The originality of this paper entails the combination of a nonparametric approach with probability smoothing. The statistical analyses presented in the paper were carried out on a population of 1005 vehicles of two car brands sold and serviced in 2011-2021 at the Authorized Service Station (Dealership). There were sales, repair, and warranty claim databases.
SAFETY AND SECURITY OF WOMEN ON TRANSPORT: A CASE OF RIDE-HAILING SERVICES IN GAUTENG, SOUTH AFRICA
Authors: DURI Babra
Published: December 2023

Women, particularly in developing countries, rely heavily on public transport for their daily commute. This study explores the safety and security of women using ride-hailing services in Gauteng. Specifically, the study seeks to understand women’s experiences using ride-hailing services, which might influence their mobility. This study employed a constructivist research philosophy, utilizing qualitative, semi-structured interviews to explore the experiences of women who use ride-hailing services. The study findings reveal several disturbing incidents reported by female passengers using ride-hailing services; however, it is important to note that not all drivers exhibit inappropriate behaviour. Some drivers make inappropriate remarks, while others exhibit rude behaviour. The study found that some drivers use longer routes, leading to higher fares, which can be seen as exploitation. The study also reports some incidents where ride-hailing drivers almost kidnapped some female passengers, indicating a severe safety concern. The study contributes to the ongoing discourse on gender and transport studies, providing empirical evidence on the experiences of women using ride-hailing services in Gauteng, South Africa.
From Problem to Progress: Management of Rodents in Urban and Agricultural Settings in Sub-Saharan Africa.
Authors: Dalecky Ambroise , Sow Ibrahima , Ibrahim Danzabarma Abdoul Aziz , Garba Madougou , Etougbetche Jonas , Badou Sylvestre , Dossou Henri-Joël , Niang Cheikh Tidiane , Diene Ousmane , Diallo Idrissa , Saghiri Mohamed Seyidna Ali , Sidatt Mohamed El Hady , Van Steenbergen Frank , Bal Amadou Bocar , Bosma Luwieke , Houemenou Gualbert , Ag Atteynine Solimane , Hima Karmadine , Dobigny Gauthier , Meheretu Yonas
Published: December 2023

The prevalent use of synthetic chemical rodenticides (both 1st or 2nd generation anticoagulants and acute rodenticides) is the primary method for managing rodents in sub-Saharan Africa. However, this practice poses substantial health and environmental risks and often fails to yield significant, sustainable reductions in rodent pest populations. In this paper, the second one of a two-part series, we advocate for a more responsible and sustainable approach to rodent management in urban and agricultural settings in sub-Saharan Africa. We propose a shift towards environmentally friendly rodent management strategies, specifically emphasizing the adoption of Ecologically-Based Rodent Management (EBRM) as a viable alternative to synthetic chemical rodenticides. EBRM relies on a comprehensive understanding of pest rodent biology, ecology, and behavior, along with the implementation of a range of community-based interventions. These actions are designed to ensure the consistent reduction of rodent pest populations to economically and hygienically acceptable levels. By embracing EBRM, we not only anticipate a reduction in the social impacts of pest rodents in a cost-effective manner but also a significant decrease in the risks posed by rodents and synthetic chemical rodenticides to human health and the environment. This paradigm shift towards EBRM promises a more sustainable and responsible approach to rodent management in sub-Saharan Africa.
Rethinking Energy Conservation and Generation for Sustainable Solutions-An Innovative Energy Circuitry Approach
Authors: Kimuya Alex Mwololo
Published: December 2023

This paper presents an innovative energy circuit that challenges traditional notions of energy conservation, introducing a paradigm shift in classical settings. The quest to generate more energy in such settings has profound implications including, offering solutions to the global energy crisis, reducing environmental impact, and fostering scientific exploration. While addressing existing approaches that are hampered by misconceptions rooted in philosophical and scientific limitations, the paper contests the idea that something can be created from nothing, defying fundamental philosophical principles, and questions the reliance on perpetual motion machines as perfect models for impossibility. The paper introduces a unique circuit, originating from an anomalous electrical short circuit, that subverts traditional energy conservation laws. This energy circuit demonstrates merits that extend beyond traditional scientific boundaries, with applications ranging from enhancing electric vehicles with self-recharging capabilities to supporting microgrid development, efficiently incorporating renewable energy, and addressing the global energy crisis. Scientifically, the paper introduces a novel perspective, prompting a philosophical discourse on the dynamic nature of scientific inquiry. The energy circuit design aims to offer solutions to the global energy crisis by reducing dependence on finite resources, positioning it as a transformative technology for sustainable energy solutions. The paper concludes by demonstrating the circuit’s potential to transform energy systems and contribute to a more sustainable and resilient future.
The Potential of Ipomoea batatas L. as an Alternative Analog Glp-1 for Diabetes Type 2 Treatment – a Systematic Review
Authors: Dewi Ni Kadek Santi Maha , Ramona Yan , Saraswati Made Ratna , Wihandani Desak Made , Wirasuta I Made Agus Gelgel
Published: December 2023

Ipomoea batatas L. (IBL) has gained significant popularity as a complementary therapy or herbal medicine in the treatment of anti-diabetes. The objective of this review is to examine the mechanism of action of flavonoid compounds found in IBL that can activate GLP-1 as an anti-diabetic agent. The review article refers to PRISMA guidelines. The literature search was conducted using electronic databases such as Crossref, Pubmed, Scopus, and Science Direct. The search query was based on specific keywords, including Ipomoea batatas OR sweet potato AND anti-diabetic OR hypoglycemic. A total of 1055 articles were found, but only 32 articles were selected for further review based on inclusion and exclusion criteria. IBL contains various compounds, including phenolic acid, flavonols, flavanols, flavones, and anthocyanins, which exhibit activity against anti-diabetes. Flavonols, flavonols, and flavones belong to a group of flavonoids that possess the ability to form complexes with AlCl3 and Ca2+. Retention of Ca2+ within intracellular L cells, resulting in the release of GLP-1. Flavonols, flavones, and flavone groups have been found to strongly interact with DPP-IV, which inhibits the degradation of GLP-1. This mechanism effectively prolongs the half-life of GLP-1 in the systemic system, thereby contributing to the anti-diabetic activity of IBL
Precision Pest and Disease Detection System using Agricultural Robot
Authors: Inamdar Rohan , Bhalerao Sushant R , Shinde Gopal U , Gupta Omkar
Published: December 2023

The agricultural industry places a high priority on crop protection, especially when it comes to protecting cotton crops against pink bollworm infestations. Rapid disease identification is essential for effective crop management at the same time. In order to overcome these difficulties, this study offers a thorough process for utilizing the Robot Operating System (ROS) to deploy an autonomous robot. The robot is intended to identify infestations of pink bollworm in addition to counting and tracking red Disease that impact cotton harvests. Drones are used to check the condition of cotton fields, and the autonomous robot's path planning component is closely related to this process. Large fields are photographed by these drones in multispectral mode, and the robot's course planning technique is done by calculating the Normalized Difference Vegetation Index (NDVI) based on these images. This approach ensures targeted surveillance and intervention, optimizing the use of resources. A customized dataset was created especially for this application to improve the robot's detecting abilities. The dataset was utilized to train a YOLOV8 model, a state-of-the-art object detection architecture. Performance characteristics of the trained model are impressive; it has a mean Average Precision (mAP) of 67.1%, Precision of 67.9%, and Recall of 61.8%. These metrics highlight how well the model works to precisely locate and measure interesting occurrences in the cotton fields. In order to address the particular challenges presented by pink bollworm infestations and crop diseases in the context of cotton cultivation, this research contributes a comprehensive solution for autonomous crop monitoring and protection by seamlessly integrating ROS, drones, NDVI calculations, and a robust detection model.
Antipsychotics and Mortality in Adult and Geriatric Patients with Schizophrenia
Authors: Yeh Ling-Ling , Lee Wei-Chen , Kuo Kuei-Hong , Pan Yi-Ju
Published: December 2023

Patients with schizophrenia had higher mortality risks and the role of antipsychotic medications remained inconclusive. In an aging society, elderly schizophrenia patients warrant increased attention. In this study, we aimed to explore medication dosage associations with mortality in schizophrenia patients, using Taiwan's national healthcare database from 2010 to 2014, with 102,964 patients with schizophrenia, and a subgroup of 6,433 elderly patients, compared to an age- and gender-matched control group. The findings revealed that schizophrenia patients with no antipsychotic exposure had the highest mortality risk as compared to the control sample—with a 3.61 and 3.37-fold risk for overall and cardiovascular mortality respectively in age and gender-adjusted model, followed by high, low, and moderate exposure groups. A similar pattern was observed in elderly schizophrenia patients but high exposure to antipsychotics was associated with the highest risk in both overall and cardiovascular mortality in elderly patients, with a 3.01, and 2.95-fold risk), respectively. In conclusion, the use of antipsychotics is beneficial to patients with schizophrenia, with recommended exposure levels being low to moderate. In elderly patients, high antipsychotic exposure was associated with the highest mortality risk. We should pay more attention to antipsychotic dosage in elderly schizophrenia patients.
Anti-trypanosomal Bufadienolides From the Oocytes of the Toad Rhinella alata (Anura, Bufonidae)
Authors: Rodriguez Candelario , Ibáñez Roberto , Olmedo Dionisio A. , Ng Michelle , Spadafora Carmenza , Durant-Archibold Armando A. , Gutiérrez Marcelino
Published: December 2023

Amphibians are widely known as a prolific source of bioactive metabolites. In this work we isolated and characterized compounds with antiparasitic activity from the oocytes of the toad Rhinella alata collected in Panama. Bio-guided isolation and structural elucidation was carried out using chromatographic and spectroscopic techniques. The organic crude extract was subjected to solid phase extraction followed by HPLC purification of the fraction with in vitro activity against Trypanosoma cruzi trypomastigotes. Seven steroids (1-7) of the bufadienolide family were isolated and their structures determined using NMR and MS analyses; of these 19-formyl-dyscinobufotalin (3) is reported as a new natural product. Compounds 1, 3-7, resulted with a good anti-trypanosomal activity profile, among these 16β-hydroxyl-hellebrigenin (1) and bufalin (7) showed significant selectivity for T. cruzi. Furthermore, molecular docking analysis showed compounds 1, 3 and 7 interact through H-bonds with the amino acid residues GLN-19, ASP-158, HIS-159 and TRP-177 from cruzipain, at the catalytic site. Given the lack of therapeutic options to currently treat the American trypanosomiasis, this work can serve as the basis for further studies that aim the development of bufadienolides or their derivatives as drugs against Chagas disease.
Influence of Phosphor Layer Composition on Flexible Electroluminescent Device Performance
Authors: Esteves Dina , Akgül Esra , Sanivada Usha Kiran , Moreira Ines P , Bessa João , Silva Carla A. , Cunha Fernando , Fangueiro Raúl
Published: December 2023

Electroluminescence (EL) is an innovative technology in the lighting area. The EL device's main structure consists of a phosphor layer sandwiched by two electrodes. In this work, several alternating current EL devices have been developed by applying a set of sequential layers with combinations of in-house prepared inks and commercially available ink as a phosphor layer. A flexible polyester textile substrate was functionalized with inks by spray coating technique, after knife-coated an interfacial layer directly on the surface. A thorough study was carried out on the phosphor layer composition to optimize the EL device performance, more precisely the illuminance intensity and the illuminance homogeneity. The developed phosphor layer was composed of zinc sulphide doped with copper (between 30.0 to 38.1 wt%) and diluted by using a diluent at different ratios (28.0 to 35.5 wt%). The best peak illuminance intensity of 61 lux was obtained when the phosphor ink presented 35.4% ZnS:Cu and was diluted with 33.0% diluent. The aim of this study to determine the best formulation of the phosphor layer, which can be highly promising for further developments of EL devices, taking in account different applications in market.
Assessing the Psychological Impact of Generative AI on Data Science Education: An Exploratory Study
Authors: Ramos Pinto Pedro Henrique , Ugulino de Araujo Vitor Meneghetti , Ferreira Junior Cleydson de Souza , Lima Goulart Lutero , Cardoso Beltrão João Vitor , Silva Aguiar Gabriel , Fernandes Mendes Samuel José , Vaz Monteiro Filipe de Lima , Lacerda Avelino Erlon
Published: December 2023

The integration of AI in education, particularly through Large Language Models (LLMs), is accelerating, reshaping pedagogical approaches and student interactions with new learning tools. This study assesses the impact of generative AI on the educational experiences of data science students at the Center for Informatics, University of Paraíba (CI/UFPB), Brazil. Through the validation of five psychometric scales, we analyze the students' acceptance of LLMs, their associated burnout levels, technology anxiety and the prevalence of metacognitive and dysfunctional learning strategies. Results indicate a significant adoption of AI-driven technologies, with a low incidence of technology anxiety, such as fear of job displacement due to AI. However, a significant correlation between burnout and dysfunctional learning strategies was observed, which could likely be attributed to the rigorous academic environment. Additionally, the employment of metacognitive strategies in conjunction with LLMs reflects an advanced learning approach, yet challenges with functional learning strategies persist. This study contributes to the discourse on AI in education, highlighting the need for educational frameworks that support effective AI adoption while addressing the psychological demands on students.
EEG Oscillations and Neural Functional Connectivity Underpinning Hypnosis and Hypnotizability
Authors: De Pascalis Vilfredo
Published: December 2023

This comprehensive review delves into the cognitive neuroscience of hypnosis and variations in hypnotizability by examining research employing functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and electroencephalography (EEG) methods. Key focus areas include functional brain imaging correlations in hypnosis, EEG band oscillations as indicators of hypnotic states, alterations in EEG functional connectivity during hypnosis and wakefulness, drawing critical conclusions, and suggesting future research directions.
The reviewed functional connectivity findings support the notion that disruptions in the functional integration between different components of the executive control network during hypnosis may correspond to altered subjective appraisals of the agency during the hypnotic response, as per dissociated and cold control theories of hypnosis. Building upon existing EEG results, a promising exploration avenue involves investigating how frontal lobes' integrated functioning with other cortical regions influences hypnosis and individual differences in hypnotizability during both waking and hypnotic states. Future studies investigating the effects of hypnosis on brain function should prioritize examining distinctive activation patterns across various neural networks. A practical approach entails simultaneously analyzing the causal relationships in functional connectivity linked to cognitive, physiological, and behavioral responses.
Arthroscopically Assisted Coracoclavicular (CC) Stabilization Using a Suture Button Device for Lateral Clavicle Fractures With CC Ligament Injury
Authors: Saigo Yoshimasa , Morikawa Daichi , Itoigawa Yoshiaki , Uehara Hirohisa , Kawasaki Takayuki , Kaketa Takefumi , Shibuya Kenta , Tsurukami Hironori , Hatae Fumitoshi , Yoshimura Yasutaka , Yoshida Kazuki , Ishijima Muneaki
Published: December 2023

We performed arthroscopically assisted coracoclavicular (CC) stabilization using a suture button device for modified Neer type IIb lateral clavicle fractures accompanied by CC ligament injury. The purpose of the present study was to evaluate the radiological and clinical outcomes of this procedure. Six consecutive patients with modified Neer type IIb fractures were treated with the technique and followed for 12 months. Postoperative ranges of motion (ROMs) and X-rays were evaluated every 3 months. Shoulder functional scores (University of California Los Angeles score, Japanese Orthopedics Association score), visual analog scale (VAS) scores for pain at rest, at night, and during motion, and VAS score for satisfaction were analyzed at 12 months after surgery. For the clinical outcomes, early ROM recovery and excellent outcomes were achieved. For the radiological outcomes, all patients accomplished bone union, slight superior displacement was noted in the CC distance and Dog Bone distance, and bone hole dilation was observed in the superior coracoid and inferior clavicle, but there were no critical complications. The present findings indicate that arthroscopically assisted CC stabilization with a suture button device for unstable lateral clavicle fractures can produce satisfactory radiological and clinical results.