bluuebunny/crossref_metadata_2025 huggingface dataset:
Political communication model: the campaign narratives on Ganjar Pranowo’s YouTube account
Authors: Baidawi  , Hamdan Daulay
Published: December 2024

Technological advancement has also been used by a number of politicians to express themselves on social media as means of boosting their popularity. This phenomenon is very useful for building political communication in virtual spaces. Therefore, this research examines  Ganjar Pranowo's political communication model through his campaign narrative displayed via his personal YouTube account. This research is qualitative research using descriptive and analytical methods in studying Ganjar Pranowo's political communication model. Data collection techniques include selecting content related to the campaign narrative of the @GanjarPranowo’s YouTube account as the primary source. Political communication theory and the elements of argumentation skills– ethos, pathos, and logos. The results of this research found that Ganjar Pranowo used YouTube as a digital platform to build political communication through various content about the campaign. Video content through its campaign narrative enablesGanjar Pranowo to effectively use the elements of ethos, pathos and logos.
Language policy in fake news handling within French and Indonesian digital media
Authors: ANDRIANI Merry , Putra Tama Akmal
Published: December 2024

This research examines the language politics carried out in handling fake news discourse through French and Indonesian online media platforms. As the internet-based communication has grown significantly in number, variety, quality and speed, making it also ideal to the fake news spread, then it requires certain language policy strategies to mitigate their destructive effect. The data of this research uses archives of online media articles, and related government websites in recent years in both countries, to look for the most recent discussions which are related to the discourse of handling fake news. Government and media discourses related to this matter are also highlighted. All the data is classified and analysed using the conceptual framework of language politics from Robert L Cooper. Since the nature of the research delves with discourses, it will be crucial to consider the discourse analysis method that refers to the critical and post-structural paradigms. Consequently, interdiscursivity and intertextuality are used as the main tools in the methodology of data analysis. As the result of this study, it shows that solid and consistent legal instruments have positive implications for maintaining journalistic quality in fighting fake news. The fake news strategy is also found in the narratives made by the authorities, but the terminologies given are different from the lexical labels to the discourse of political opponents in the public sphere. France and Indonesia utilise distinct strategies in addressing online media fake news.
Analysing digital campaigns of nationalist parties in Indonesia through political party tweets
Authors: Hadmar Ahmad Muhardin , Yuniarti Shintia , Nurmandi Achmad , Lawelai Herman , Sadat Anwar , Misran
Published: December 2024

Twitter is the main platform for digital campaigns that influence public opinion. Through Twitter, political parties reach a wider audience to disseminate messages effectively. This research analyses narrative content on social media as a medium for political party campaigns delivered via social media. This research examines the campaign content strategy of nationalist party Twitter accounts in Indonesia. The method used is a qualitative method utilising Quality Data Analysis (QDA) with the help of Nvivo 12 Plus software. Three nationalist party Twitter accounts were taken based on their popularity, particularly @Gerindra, @Nasdem, and @PDI_Perjuangan. The @Gerindra account with 68.1 thousand followers highlights aspects of the party's identity and the figure of Prabowo Subianto. In contrast, the @NasDem account focuses more on party identity, national issues, and active participation in political society. The @PDI_Perjuangan account focuses on the spirit of struggle, the candidacy of Ganjar Pranowo, and the construction of the party's identity and history, with high activity, namely 1219 tweets in three months. The results of the analysis of the content of nationalist party Twitter accounts can provide insight into political party communication strategies in digital campaigns in Indonesia.
Media consumption behaviours and health impacts of video-on-demand services in Indonesia
Authors: Winarko Hilarius Bambang , Susilo Daniel
Published: December 2024

Video-on-demand (VOD) services have transformed media consumption globally, with platforms such as Netflix and local providers like Vidio gaining popularity in Indonesia. This study explores the impact of VOD on user behaviours, demographic influences, and health implications in Indonesia, whereby rapid internet expansion drives its adoption. This study aimed to explore how VOD consumption affects daily habits as well as how binge-watching affects health. This research focuses on Indonesia’s unique context with a survey of 422 respondents to analyse VOD habits, and quantitative statistical methods were applied to assess behavioural patterns based on demographic variables. Findings reveal that younger users are the primary consumers of VOD, often engaging with media during work or study hours, resulting in sleep disruption and mental health concerns such as anxiety. Gender differences were notable, with female respondents reporting higher sleep disturbances. Binge-watching behaviour was strongly correlated with health impacts, emphasising the need for better viewing habits. The study concludes that while VOD has enhanced media access and diversity, it has also introduced health risks, particularly for younger audiences. These findings provide valuable insights for VOD platforms and policymakers aiming to promote balanced media consumption. Future research should examine broader demographic trends and long-term effects.
Closeness and belongingness: boosting student engagement in Jakarta universities
Authors: Genita Vona Yolanda , Shaabiriina Gesilva Putri Samya , Marbun Hetty Mery , Ria Ondo
Published: December 2024

Aside from academic activities, university life is enriched by extracurricular or community events that foster organisational skills and competency development. According to previous studies, university students who are motivated to grow personally are those who have aspirations for their future careers. Another factor that encourages active participation in organisational activities is a sense of belonging. Students’ active participation will contribute positively to organisational development. This study uses the lens of weak ties theory, which contrasts with the notion that people with strong relationships are more inclined to provide benefits in certain contexts. This study will use network analytic techniques to determine the extent of relationships between university students through UCINET software. The study aims to identify whether weak interpersonal interactions among students can promote their community engagement. The relationship analysis will relate to the level of their sense of belonging, obtained from questionnaire responses. The data were processed using descriptive statistics and multiple linear regression analysis through SPSS. The results demonstrate that weak relationships and a sense of belonging positively impact member engagement in organisation. This study aims to contribute by offering a hitherto limited analysis of student organisations using the weak ties theory and network analysis method.
Удосконалення операції кування великогабаритних пустотілих поковок зі складним профілем
Authors:   Донбаська державна машинобудівна академія, Марков Олег , Панов Володимир ,   Донбаська державна машинобудівна академія, Іванова Юлія ,   Донбаська державна машинобудівна академія, Хващинський Антон ,   Донбаська державна машинобудівна академія, Житніков Роман ,   Донбаська державна машинобудівна академія, Косілов Максим ,   Донбаська державна машинобудівна академія
Published: December 2024

Аналіз наукових публікацій дозволив виявити, що проблема підвищення коефіцієнта використання матеріалу при виготовленні східчастих обичайок на сьогодні не вирішена повністю. Відомі технологічні процеси кування великих обичайок полягають у закриванні уступів технологічним напуском на механічну обробку. Це приводить до зайвих витрат матеріалу, а також розрізування внутрішньої волокнистої структури. Моделювання дозволило встановити, що кування східчастим бойком призводить утворення конусності на обичайках. Макроструктурне дослідження дозволило визначити, що процес кування таких поковок східчастим бойком призводить до утворення волокнистої будови, яка повторює контур східчастої деталі.
Fluid flow observer for an asynchronous electric drive of a centrifugal pump
Authors:   Omsk State Technical University, Lysenko O. A.
Published: December 2024

The article examines the development of a system for monitoring the volumetric
supply of liquid in pumping units. The relevance of the research is due to the
growing requirements for automation of control of pumping systems. The key
element of the system is the observer, which allows evaluating the main parameters
of the installation, such as the pump rotation speed and the moment of resistance.
The electric drive of the pump uses an asynchronous motor with a squirrel-cage
rotor, the rotation speed of which is controlled. The pressure in the discharge
pipeline is created by a centrifugal pump. The observer is based on a model of an
asynchronous motor in a fixed coordinate system, and the Luenberger observer
is used to estimate the rotation speed and torque of the pump. To identify the
volume flow, a centrifugal pump model is used, parameterized by a second-degree
polynomial. The authors present simulation results showing the high accuracy of
the developed observer, with an error of no more than 3% in steady state. The
results demonstrate the effectiveness of the proposed approach for constructing a
monitoring system for pumping units.
Mathematical model of an electrical complex with the device of electrical energy storage for testing induction motors
Authors:   Omsk State Transport University, Kharlamov V. V. , Popov D. I. ,   Omsk State Transport University, Sokolov P. S. ,   Omsk State Transport University
Published: December 2024

The research highlights the problem of developing repair infrastructure for new
rolling stock, including those with asynchronous traction motors. Therefore, an
electrical engineering complex for testing asynchronous motors was chosen as the
object of research. The scheme of testing a pair of asynchronous machines using the
method of mutual loading is considered. To smooth out current surges in transient
modes, an electric energy storage device is used in this scheme. As a result of the
research, a mathematical model of the test circuit in question was obtained, which
considered an energy storage device connected to a DC link of the test circuit.
The solution of the test problem to verify the operability of the considered circuit
showed its high efficiency in smoothing current surges in transient modes in the
mutual load circuit.
Développement de la pratique réflexive collective sur les situations d’intervention : un exemple d’analyse de Revue de Projet en Cabinet Conseil
Authors: SIMILOWSKI Clara , MEGE PINEY Cécile , ARNAUD Sébastien
Published: December 2024

Les interventions menées en cabinet conseil peuvent être sources de problématiques organisationnelles, techniques et stratégiques, voire de débats face aux transformations des situations de travail, des organisations mais aussi des conditions de réalisation de l’intervention. Face aux difficultés quotidiennes de la pratique du conseil sur le terrain dans le Cabinet étudié, la Revue de Projet a été développée au sein du Cabinet Conseil pour échanger collectivement sur ses interventions. Cependant, ce dispositif, idéalisé par les plus anciens du Cabinet Conseil pour questionner les pratiques afin de les améliorer, n’est pas si évident à mettre en œuvre au quotidien. Parler de la réalité de son travail est tout aussi difficile pour les consultants, qui rencontrent les mêmes difficultés que les personnes qu’ils mobilisent eux-mêmes dans leurs interventions. Les travaux en cours visent à un premier niveau la compréhension de ce qui se joue dans et autour de ces échanges, à un deuxième niveau la transformation pour améliorer les pratiques et l’apprentissage des acteurs du Cabinet Conseil et, à un troisième niveau l’amélioration des interventions pour les rendre plus pertinentes et efficaces.
ЖИЗНЬ И ТВОРЧЕСТВО СЕЛИМЫ КУРУМОВОЙ (К 110-ЛЕТИЮ СО ДНЯ РОЖДЕНИЯ)
Authors: З.Х.-А. БЕРСАНОВА
Published: December 2024

Актуальность исследования данной проблемы обусловлена тем, что творчество талантливой чеченской писательницы Селимы Курумовой не получило должного освещения в работах чеченских литературных критиков. В данной статье предпринята попытка восполнить этот пробел – рассказать о жизненном пути автора знаменитой повести «Дохк» («Туман»), вехах ее творческой биографии. Основной упор в статье сделан на анализ произведений С. Курумовой, показаны художественные средства и методы, с помощью которых она раскрывает духовные терзания своих героев, красоту их поступков, мотивы их поведения. Показаны также этнографические мотивы в произведениях С. Курумовой, которые создают правдивую картину жизни и быта чеченцев конца XIX в. Обосновывается вывод о том, что произведения Курумовой ярко демонстрируют как достоинства простых людей, так и пороки, присущие отдельным индивидам. Созданные ею яркие образы производят глубокое впечатление на читателя, заставляя его думать, сопоставлять, анализировать поступки героев.

The relevance of the study of this problem is due to the fact that the work of the talented Chechen writer Selima Kurumova has not received due coverage in the works of Chechen literary critics. There are practically no works devoted to the biography of this remarkable master of the word. In this article, an attempt is made to fill this gap – to tell about the life path of the author of the famous story "Dohk" ("Fog"), the milestones of her creative biography. The main emphasis in the article is on the analysis of the works of S. Kurumova, showing the artistic means and methods with which she reveals the spiritual torment of her heroes, the beauty of their actions, the motives of their behavior. Ethnographic motifs in the works of S. Kurumova are also shown, which create a true picture of the life and everyday life of the Chechens of the late 19th century. The article substantiates the conclusion that Kurumova’s works clearly demonstrate both the virtues of ordinary people and the vices inherent in individuals. The vivid images she created make a deep impression on the reader, forcing him to think, compare, and analyze the actions of the characters.
Influence of temperature on selenium mobility under contrasting redox conditions: a sediment flow-through reactor experiment
Authors: Laberge-Carignan Audrey , Mercier Florence , Larivière Dominic , Couture Raoul-Marie
Published: December 2024

We studied selenium (Se) sequestration in minimally disturbed lacustrine sediments using flow-through reactors (FTR) in response to organic matter lability, selenium (Se) speciation and temperature (4 and 23°C). Initial sediment was composed of either fresh or aged organic matter (OM), and was fed with environmentally relevant, low Se concentrations and filtered lake water. We monitored Se concentration as well as speciation along with pH and the concentrations of dissolved OM, NO3-, NO2-, Fe(II), SO42- and HS- in the outflow of FTRs during 8 experimental phases along increasing Se concentrations. All experiments sequestered a large proportion of Se. Fresh, labile OM removed 50% more Se than aged, more recalcitrant OM. Along with a highest proportion of reduced redox-sensitive species in the reactors with fresh OM, this result is consistent with reducing conditions promoting Se sequestration. Inflowing selenite was sequestered to a larger extent than inflowing selenate. Lastly, only selenate reduction responded strongly to temperature. At 100 nM inflow, selenate was sequestered at a rate of 92 pmol cm-3 d-1 at 23°C, which lowered to 80 pmol cm-3 d-1 at 4°C. Outflow Se speciation for selenate reduction experiments comprised mostly of organic Se species at 23°C and, in contrast, solely of selenate at 4°C. We hypothesize that selenate reduction proceeded via microbial processes, in line with reactions catalyzed by enzymes being temperature dependent. Overall, our findings suggest that the mobilisation and warming of the boreal and permafrost carbon pools may increase the capacity of aquatic environments to sequester Se, lowering its bioavailability.
Spin–flip non-orthogonal configuration interaction with grouped baths: a method for charge transfer in transition metal complexes
Authors: ­Park Jiseong , Lee Seunghoon
Published: December 2024

We introduce a novel grouped-bath approach to the spin-flip non-orthogonal configuration interaction (SF-NOCI) method, named SF-GNOCI, which significantly reduces computational cost while preserving accuracy. SF-NOCI is a nearly ``black-box'' electronic structure theory developed by Mayhall et al., well-suited for studying charge transfer phenomena. This method allows for core-virtual orbital rotations for all configurations within the active space, efficiently capturing important orbital relaxation effect induced by electron transfer. However, the inclusion of this relaxation effect for all configurations results in a sharp increase in computational cost, especially for large active spaces commonly encountered in transition metal complexes. To address this challenge, we grouped configurations based on the number of electrons associated with each atom. Within each group, configurations share a common set of bath orbitals, significantly reducing the computational burden. We demonstrate the performance of SF-GNOCI through benchmark calculations on two systems: the avoided crossing of the lowest singlet states of LiF dissociation and the low-lying charge transfer states of [Fe(SCH_3)_4]^{2-/1-}. Our results show that SF-GNOCI maintains the accuracy comparable to the standard SF-NOCI while reducing a computational cost by a factor of about 1/10 for [Fe(SCH_3)_4]^{2-} and 1/14 for [Fe(SCH_3)_4]^{1-}. This SF-GNOCI method offers a promising reference wave-function ansatz for simulating charge transfer phenomena in transition metal complexes.
Eight-Membered-Ring-Forming Chain-Growth Cyclopolymerization of 2,2'-Diisocyano-1,1'-binaphthalenes for the Synthesis of Helical Poly([1,4]diazocine-2,3-diyl)s
Authors: Yoshinaga Yukako , Nishimaru Ryo , Suginome Michinori
Published: December 2024

Novel helical macromolecules, poly([1,4]diazocine-2,3-diyl)s (PDACs), are synthesized by living cyclopolymerization of 2,2'-diisocyano-1,1'- binaphthalenes in the presence of organonickel or organopalladium complexes as initiators. The conformation of the main PDAC chain obtained from (R)-monomer is deduced from experimental results as (M)-helix and depends on the optical purity of the monomer.
The fine chemical industry, 2000-2024
Authors: Ciriminna Rosaria , Della Pina Cristina , Luque Rafael , Pagliaro Mario
Published: December 2024

The fine chemical industry manufactures products that are used by many major industrial sectors, including food and beverage, cosmetic, nutraceutical, pharmaceutical, electronic, paper, automotive, painting and water industries. The industry saw significant changes in the first quarter of the current century, including the uptake of new “greener” production technology, digitalization, and changes in structure and geographical distribution. Despite its relevance and significant annual growth rates lasting since decades, knowledge of this industry amid chemistry and chemical engineering scholars, including graduate and undergraduate students, is often limited. Providing an updated critical insight on the industry and the main changes occurred in the last 25 years, this study identifies the technology and policy drivers of change. The conclusions of the study may inform further practice-oriented education on the industrial aspects of the chemical enterprise.
Gaat de leer van de definitieve verliezen met het arrest W AG definitief verloren?
Authors:   Radboud University, van den Broek Harm
Published: December 2024

In het arrest W AG oordeelde het Hof van Justitie van de EU dat lidstaten geen definitieve verliezen van buitenlandse vaste inrichtingen hoeven af te trekken als deze verliezen zijn vrijgesteld op basis van een bilateraal belastingverdrag. Dit betekent dat de leer van de definitieve verliezen niet van toepassing is op buitenlandse vaste inrichtingen wanneer er een vrijstellingssysteem bestaat. Het arrest heeft ook implicaties voor andere belastingverdragen, zoals die van Nederland.
Over schrijven, literatuur en de academie
Authors:   Maastricht University, Nellen Frank , van Doesum Ad ,   Maastricht University
Published: December 2024

In deze bijdrage gaan Frank Nellen en Ad van Doesum in op twee interesses die zij met Hans Arts delen: de literatuur en de kunst van het schrijven. Dit doen zij aan de hand van citaten van bekende literatoren.
Catch-22 in box 3
Authors:   Tilburg University, Essers Peter
Published: December 2024

In "CATCH-22 IN BOX 3" bespreekt Peter Essers de problematische situatie van box 3 in het belastingstelsel van Nederland, waar de forfaitaire vermogensrendementsheffing leidt tot onrechtvaardige belastingdruk op spaarders en beleggers. Essers analyseert de introductie van box 3 in 2001, de maatschappelijke kritiek die is ontstaan na de kredietcrisis en de juridische uitdagingen die voortvloeien uit de Hoge Raad arresten, met een focus op het Kerstarrest en de daaropvolgende wetswijzigingen. De bijdrage benadrukt de noodzaak van belastinghervorming om een rechtvaardiger en transparanter systeem te creëren.
Over het zakelijkheidsbeginsel, een arrest en een kennisgroepstandpunt
Authors:   Universiteit van Amsterdam, Heithuis Edwin
Published: December 2024

De bijdrage van Edwin Heithuis aan het liber amicorum ter ere van Hans' afscheid behandelt het zakelijkheidsbeginsel in de fiscale winstbepaling en verwijst naar een belangrijk arrest van de Hoge Raad op 13 januari 2023. Heithuis uit ook zijn zorgen over het failliet van het zakelijkheidsbeginsel, vooral in de context van transacties tussen gelieerde partijen die langs de meetlat van onafhankelijke derden moeten worden gelegd, wat problematisch is omdat die meetlat niet bestaat. Het stuk reflecteert op de lange samenwerking tussen Heithuis en Hans en zijn waardering voor Hans' bijdragen aan de fiscaliteit.
De koning van artikel 81 RO en de vennootschapsbelasting neemt afscheid
Authors:   Maastricht University, van den Hurk Hans
Published: December 2024

In "DE KONING VAN ARTIKEL 81 RO EN DE VENNOOTSCHAPSBELASTING NEEMT AFSCHEID" bespreekt Hans van den Hurk de toepassing van artikel 81 RO door de Hoge Raad, dat sinds 1988 wordt gebruikt om zaken zonder inhoudelijke motivering af te doen. Dit leidt tot frustratie, vooral voor advocaten zoals Hans Arts, die principiële zaken voorleggen die soms niet serieus worden behandeld. De auteur pleit voor meer transparantie over hoe de Hoge Raad zaken beoordeelt en de relevantie ervan voor rechtsontwikkeling en rechtseenheid.
Aftrekbare kosten en belastingvrije vergoedingen in vogelvlucht - een kleine tribuut aan de koning van de BNB-nummers
Authors:   Maastricht University, Weerepas Marjon
Published: December 2024

In "AFTREKBARE KOSTEN EN BELASTINGVRIJE VERGOEDINGEN IN VOGELVLUCHT" bespreekt Marjon Weerepas de fiscale behandeling van kosten en vergoedingen in de loonbelasting, met aandacht voor de werkkostenregeling en de 30%-regeling. Ze benadrukt de uitdagingen en onvolkomenheden in de gelijkstelling van vergoedingen en verstrekkingen en de impact hiervan op werknemers en zelfstandigen. Het werk is een eerbetoon aan Hans, die bekendstaat om zijn uitgebreide kennis van BNB-nummers en zijn zorgvuldige benadering van fiscale vraagstukken.
Features of the Development of the Press in the “Colonial Period” of American History (1765–1775)
Authors:   Ryazan State University named for S. Yesenin, Marshuba D. А.
Published: December 2024

The article analyzes the “Colonial period” in the history of American press. The author examines the growing politicization of local presses against the backdrop of sanctions adopted by Britain against its colonies: the Stamp Act and the Townshend Acts. Newspapers are systematically moving from the state of practicing “reprinting news” to independently determining the topic and tone of publications. Against the backdrop of unpopular British acts, a new generation of publishers is emerging, whose attention is aligned with the American “Patriot” movement and it is easing out newspapers and magazines, that sympathetic to Britain. In order to take a more objective look at the “Colonial” period at a time of growing revolutionary struggle, the article describes the events that unfolded around the publications: “Boston Gazette”, “Massachusetts Spy”, “Boston Chronicle” and etc.The author comes to conclusion that the growing popularity of S. Adams's patriotic ideas became widespread in publications and led to a large-scale restructuring of the press. Borrowing European bourgeois values entails the impossibility of further acceptance by the colonies of complete subordination to the metropolis.
Feminist Reading Together in a Different Register
Authors: Forrest Michelle , McCullagh Suzanne , Reilly Ian
Published: December 2024

In this paper we reflect upon our multi-year reading group as a site of decolonial feminist praxis that motivates reading in a different register from how we were trained to read as academics in the humanities. In collaborative study we willingly open ourselves to change, to being worked on by one another and by the texts we read. Our reading together has initiated the undoing of settler colonial academic subjectivity and the co-creation of new forms of scholarly subjectivity grounded in relations of care, openness to transformation, and a growing commitment to epistemic justice. In giving an account of our group history and process we reflect on our complicities with settler-colonialism in the university and consider the ways that reading together has cultivated our capacities to listen to counter-narratives, formulate institutional and self critique, and engage in epistemic reparations.
Possibilities of Care within Institutional Constraints: A Case Study in Black Creative Knowledge Production
Authors: Haileselassie Nala , Wowk Lucy , Vettivelu Joshua , Ishaq Shaya , Loppie Daysha , Shakes Carianne , Abala Ajeuro , Squires Deion , Oyawale Christina , Campbell Miranda
Published: December 2024

Art school curriculums in institutional settings are often irrelevant to the lived experiences, pathways, and histories of Black students. In this context, in Summer 2021 and 2022, Artspace gallery manager Joshua Vettivelu stewarded a series of projects centring Black students, creating space for open exploration through residencies and research supported by peer mentorship. These projects mobilized a durational approach, pairing small groups of students with slightly more experienced peer mentors over an extended period, in an environment underscored with care and self-direction.
In 2021, the it’s real because it happened residency and exhibit allowed participants to explore questions of self-portraiture and perception in collaboration. In 2022, The Black Creative Research Residency (BCRR) project paired a working artist, Shaya Ishaq, with three students to explore questions of optical allyship and Black resistance, culminating in the Knowable Archives, Unknowable Vessels exhibit. This exploration of optical allyship raised questions about allyship communicated through (sometimes shallow) visual signifiers, and in particular explored the works of David Drake – an enslaved potter working in the Antebellum South known for engraving his pots with poetry and his signature – and Josiah Wedgwood – a British potter who made abolitionist pendants for The Society for Effecting the Abolition of Slave Trade. This paper highlights the best practices that emerged from these residencies, such as providing both material resources and immaterial – that is to say, intellectual and relational – support through caring mentorship and relationship building. Furthermore, we explore the tension between both possibilities and limitations of radical care and Black creative practices within institutional constraints.
A Bivariate Replacement Policy for an Extreme Shock Maintenance Model under Partial Sum Process
Authors: Ashwini I  , Zahiruddeen  , Rizwan U
Published: December 2024

A study on a degenerative simple repairable system under an extreme shock maintenance model has yielded explicit expressions for the long-run average cost using a bivariate replacement policies (T, N),( T+,N),(U, N),(U-,N).Moreover, the research has established the existence of an optimal conditions that minimizes costs.
Fuzzy Stability of a Functional Equation Originating From a Telescoping Series
Authors: Arunkumar M  , Chandiran V  , Sathya E  , Velmurugan T  , Alexpandiyan V
Published: December 2024

In this paper, we explore the generalized Ulam-Hyers stability of and additive functional equation of the form, in fuzzy Banach space using Hyers method.
Personality Prediction System Using Machine Learning
Authors:   Department of Information Technology, Greater Noida Institute of Technology, (Engg.Institute), Greater Noida, INDIA, Raj Rishav , Herenj Vivek ,   Department of Information Technology, Greater Noida Institute of Technology, (Engg.Institute), Greater Noida, INDIA, Roy Vikash ,   Department of Information Technology, Greater Noida Institute of Technology, (Engg.Institute), Greater Noida, INDIA, Mishra Manoj ,   Department of Information Technology, Greater Noida Institute of Technology, (Engg.Institute), Greater Noida, INDIA
Published: December 2024

A personality prediction system leverages advanced data analysis techniques to assess and predict an individual's personality traits based on diverse inputs such as text, voice, behaviour, and biometric data. These systems typically utilize psychological models, like the Big Five Personality Traits or Myers-Briggs Type Indicator (MBTI), to derive insights from patterns in the data. Text-based prediction systems use natural language processing (NLP) to analyze written or spoken communication, while voice-based systems analyze vocal attributes such as tone and pitch. Behavioral and biometric data further enhance the accuracy of these systems, with applications spanning areas like human-computer interaction, marketing, recruitment, and mental health. With the aid of artificial intelligence (AI) and machine learning, these systems are increasingly capable of delivering personalized insights, offering the potential for a wide range of applications from customer engagement to psychological well-being. This abstract outline the core mechanisms, applications, and future directions of personality prediction systems, highlighting their potential to transform how individuals are understood and interacted with in both digital and real-world contexts.
End to End Leaf Detection Using Convolutional Neural Network
Authors:   Department of Information Technology, Greater Noida Institute of Technology, (Engg. Institute), Greater Noida, INDIA, Kumari Chanrika , Singh Dibyanshu ,   Department of Information Technology,  Greater Noida Institute of Technology, (Engg. Institute), Greater Noida, INDIA, Singhal Dr.Vikas ,   Head,Department of Information Technology, Greater Noida Institute of Technology, (Engg. Institute), Greater Noida, INDIA, Kumar Gyanendra ,   Department of Information Technology, Greater Noida Institute of Technology, (Engg. Institute), Greater Noida, INDIA, Sahu Dr.Ajay ,   Professor, Department of Information Technology, Greater Noida Institute of Technology, (Engg. Institute), Greater Noida, INDIA
Published: December 2024

Global food security is seriously threatened by crop diseases, yet in many places, it is still difficult to identify them quickly because of a lack of infrastructure. In tackling this problem, recent developments in leaf-based image categorization methods have produced encouraging outcomes. This study investigates how to differentiate between healthy and unhealthy leaves using curated datasets using the Random Forest algorithm. The development of the dataset, feature extraction, classifier training, and classification are the various stages of the implementation process. To efficiently distinguish between diseased and healthy samples, the Random Forest classifier is used to train the dataset, which includes pictures of both diseased and healthy leaves. A significant obstacle to agricultural production, plant diseases have an impact on crop yield and quality. Precision farming and sustainable agriculture depend on the timely and precise identification of leaf diseases. In this work, we present a complete system that automatically detects and classifies leaf diseases using Convolutional Neural Networks (CNN), starting with picture capture. The technology offers a quicker method of identifying leaf illnesses and does away with the requirement for manual feature engineering. Our tests, carried out on several public datasets, show the model's efficacy and achieve high accuracy for a range of illness categories. These results underline the practical uses that might improve crop management and early intervention techniques. Using machine learning on massive datasets that are accessible to the public, this approach offers a scalable solution for detecting plant diseases on a large scale.
Automated Cardiovascular Disease Detection with Hybrid Machine Approach
Authors:   Department of Information Technology Greater Noida Institute of Technology (Engg. Institute) Greater Noida, Uttar Pradesh, INDIA, Mishra Pawan , Singh Nitesh ,   Greater Noida Institute of Technology (Engg. Institute) Greater Noida, Uttar Pradesh, INDIA, Ranjan Sudhanshu ,   Greater Noida Institute of Technology (Engg. Institute) Greater Noida, Uttar Pradesh, INDIA, Patel Vishal ,   Greater Noida Institute of Technology (Engg. Institute)  Greater Noida, Uttar Pradesh, INDIA
Published: December 2024

Cardiovascular ailment (CVD) is a main reason of death and disability globally, posing tremendous challenges for early detection and prevention. A heart condition or the accumulation of fatty deposits inside the arteries, is frequently linked to CVD and raises the risk of blood clots and other consequences. Predicting and diagnosing CVD is critical to mitigating its effect and enhancing patient results. With the appearance of massive data in healthcare, large volumes of patient records are available that may assist in identifying early warning symptoms of coronary heart disorder. This project aims to generate a hybrid machine learning technique which leverages deep learning and traditional machine learning algorithms to automatically locate cardiovascular illnesses. By integrating more than one dataset, we intend to upgrade the model's overall performance in diagnosing coronary heart situations. Numerous machine learning classification models, consisting of Random Forest and Gradient Boosting, might be employed and in comparison, to evaluate their effectiveness in detecting CVD. Each model can be evaluated using overall performance indicators like precision, accuracy, recall, and F1-Score. In previous research, the Random Forest model did 94% accuracy in coronary heart disorder detection, at the same time as the Gradient Boosting model established a balanced overall performance through accuracy, precision, recall, and F1-score with 73% each in detecting cardiovascular diseases via this hybrid technique. We aim to enhance prediction accuracy and offer a greater reliable tool for early CVD detection, in the long run enhancing affected person care and saving lives.
Enhancing COVID Quarantine Compliance through GeoFencing Technology
Authors:   Department of Information Technology Greater Noida Institute of Technology (Engg. Institute), Greater Noida, Uttar Pradesh, INDIA, Kushwaha Gopal , Kansal Vivek ,   Greater Noida Institute of Technology (Engg. Institute)   Greater Noida, Uttar Pradesh, INDIA, Rai Utkarsh ,   Greater Noida Institute of Technology (Engg. Institute)  Greater Noida, Uttar Pradesh, INDIA, Kumar Vivek ,   Greater Noida Institute of Technology (Engg. Institute) Greater Noida, Uttar Pradesh, INDIA
Published: December 2024

This research paper explores the development of an Android geofencing application designed to enhance compliance with COVID-19 quarantine measures [1,5,7]. As public health authorities faced unprecedented challenges during the pandemic, the need for innovative solutions became paramount.This study investigates the effectiveness of geofencing technology in monitoring quarantine adherence by utilizing location-based services to define geographic boundaries around users' homes. The app aims to provide real-time alerts and data analytics to ensure compliance while addressing privacy concerns. Through a mixed-methods approach, including user surveys and case studies, we evaluate user adoption rates, engagement levels, and overall effectiveness in maintaining quarantine protocols.Recently, numerous containment zones have been established across the nation, categorized into red, orange, and green zones[16,17]. The red zones signify areas with high infection rates, orange zones represent regions with some level of infection, and green zones indicate locations free from infection[19, 20]. This paper primarily addresses the creation of an Android application designed to inform individuals about Covid-19 containment zones and to prevent unauthorized entry into these areas. The application provides real-time updates of the containment zone locations on a Google map. Ultimately, the study contributes to the ongoing discourse on the role of technology in managing public health crises and suggests pathways for future research and development in geofencing applications for disease control.
IoT Based Gesture Control Light System Using Python
Authors:   Department of Information Technology, Greater Noida Institute of Technology, (Engg. Institute), Greater Noida, INDIA, Prasad Shubham , Singh Shivam ,   Department of Information Technology,  Greater Noida Institute of Technology, (Engg. Institute), Greater Noida, INDIA, Singh Preeti ,   Department of Information Technology, Greater Noida Institute of Technology, (Engg. Institute), Greater Noida, INDIA, Srivastava Shubhangi ,   Department of Information Technology, Greater Noida Institute of Technology, (Engg. Institute), Greater Noida, INDIA, Sahu Dr.Ajay ,   Professor, Department of Information Technology, Greater Noida Institute of Technology, (Engg. Institute), Greater Noida, INDIA
Published: December 2024

The Gesture Control Light System is an innovative, user-friendly interface designed to enhance the interaction between humans and electronic devices. By utilizing hand gestures as input commands, this system enables users to control lighting appliances without physical contact. It integrates gesture recognition technology, primarily using infrared sensors or cameras, to interpret specific hand movements like swipes or waves, translating them into actions such as turning lights on/off, adjusting brightness, or changing colour modes. This touchless approach offers convenience and hygiene benefits, especially in settings where hands-free control is advantageous, such as in smart homes, medical facilities, or during cooking tasks. The system's intuitive design also contributes to energy efficiency, enabling automation and personalized lighting preferences. With its practical applications and potential to improve user experience, the Gesture Control Light System represents a step forward in the evolution of smart technology and human-machine interaction.
Analysis of Netflix Recommendation System
Authors:   Department of Information Technology, Greater Noida Institute of Technology, (Engg. Institute) Greater Noida, Uttar Pradesh, INDIA, Kumar Abhishek , Jha Ashish ,   Department of Information Technology,  Greater Noida Institute of Technology, (Engg. Institute) Greater Noida, Uttar Pradesh, INDIA, Sharma Harshit ,   Department of Information Technology, Greater Noida Institute of Technology, (Engg. Institute) Greater Noida, Uttar Pradesh, INDIA, Kumar Aman ,   Department of Information Technology, Greater Noida Institute of Technology, (Engg. Institute) Greater Noida, Uttar Pradesh, INDIA, Gupta Vibhor ,   Department of Information Technology, Greater Noida Institute of Technology, (Engg. Institute) Greater Noida, Uttar Pradesh, INDIA
Published: December 2024

The recommendation engines utilized by Netflix provide an extensive array of content. The algorithms employed by Netflix play a vital role in assisting users in discovering the material they seek. Numerous recommender systems are available that deliver valuable suggestions for various products and services. The recommendation algorithms of Netflix are grounded in machine learning and utilize information filtering techniques to anticipate user ratings and preferences for specific Netflix offerings or products. The term recommendation systems are often used in a pejorative sense to describe recommender systems. Generally, there are four primary categories of recommendation systems: content-based, collaborative filtering, simple recommendation systems, and hybrid methods.
Forest plantations influence on the thermophysical properties of southern chernozems
Authors: Gorban V. A. , Bilova N. A.
Published: December 2024

Purpose. Evaluation of the influence of Robinia pseudoacacia L. and Quercus robur L. forest plantations on thermal diffusivity, specific heat and thermal conductivity of southern chernozems.

Methods. The thermophysical properties of soils were determined by the method of pulse heating using a specially developed installation and software. Soil temperature in the field was determined on the soil surface and at depths using temperature sensors. Air temperature was measured with a digital anemometer-thermometer-hygrometer Starmeter (ST8021).

Results. The influence of forest plantations on thermophysical properties was performed using soil samples taken from zonal southern chernozems (used as a control), southern chernozems under R. pseudoacacia plantations and under Q. robur plantations near the city of Zelenodolsk (Kryvorizky district, Dnipropetrovsk region). It was established that the growth of forest plantations led to a decrease in the surface temperature, the temperature at a depth of 50 cm, and the average temperature of the 0–50 cm layer of southern chernozems compared to zonal southern chernozems. The 0–50 cm layer of zonal southern chernozem is characterized by sharper temperature changes compared to southern chernozem under forest plantations. The growth of the forest plantation of R. pseudoacacia on the southern chernozem led to an increase in the values of its thermophysical properties of the upper horizons compared to the zonal southern chernozem. The influence of planting Q. robur on southern chernozem led to an increase in its thermal diffusivity, a decrease in specific heat, and practically did not lead to changes in thermal conductivity.

Conclusions. The growth of the R. pseudoacacia plantation leads to a more pronounced change in the thermophysical properties of southern chernozems compared to the Q. robur plantation, especially in the upper horizons of the studied southern chernozems.
Тheoretical foundations of exhibition activity research
Authors: Panova Iryna , Pysarevskiy Mykola , Semenenko Danylo
Published: December 2024

Exhibition activity is an important element of the modern cultural and economic sphere, which is reflected in various formats and concepts. The essence of this phenomenon is to create a platform for public display of products, ideas, creativity and achievements in various fields of life. Exhibitions bring together both producers and consumers, creating a unique opportunity to share experiences, ideas and contacts. Ukraine, like many other countries, has its own organizational and legal framework for state regulation of exhibition activities. This framework includes legislative acts that define the procedure for organizing and holding exhibitions, establish rules of participation for organizers and exhibitors, and determine liability for violation of the established norms. Foreign experience in implementing exhibition projects can be an important source of learning and innovation for Ukraine. Many countries are actively using exhibitions as a tool to promote economic and cultural development, introducing new technologies, stimulating tourism, and maintaining international relations. The object of research is exhibition activity. The subject of research is exhibition activity theoretical foundations of exhibition activity research. The goal of the study is to investigate the scientific and theoretical substantiation of exhibition activity as a factor in tourism development. The tasks set to achieve the goal are to study the essence and definition of “exhibition activity”; to consider the organizational and legal framework for state regulation of exhibition activity in Ukraine; to study foreign experience in implementing exhibition projects. To achieve this goal, the following research methods were used: analytical, evaluative, comparative, statistical, graphical, descriptive, and cartographic. Conclusions: it is found that exhibition activity is an important mechanism for promoting the development of economy, culture and international cooperation. It is highlighted that knowledge of the essence of this phenomenon, understanding of the organizational and legal framework in the country and analysis of foreign experience help to improve and develop the exhibition sphere in the country.