bluuebunny/crossref_metadata_2025 huggingface dataset:
Text Classification for News Article
Authors: Pawar Sanket
Published: May 2024

Abstract: In the era of information overload, effective organization and categorization of news articles are essential for providing users with relevant and timely information. This project focuses on the development and implementation of a text classification system for news articles. The primary goal is to automatically categorize news articles into predefined topics or classes, enhancing the user experience by enabling efficient content discovery and navigation. The project begins with a comprehensive collection of a diverse dataset of news articles spanning various domains such as politics, sports, technology, entertainment, and more. Preprocessing techniques are employed to clean and tokenize the text, followed by feature extraction methods that capture meaningful patterns within the text data. Various machine learning algorithms, including but not limited to, Naive Bayes, Support Vector Machines, and neural networks, are explored and evaluated to determine the optimal model for text classification. To enhance the performance of the classification system, advanced techniques such as word embeddings and transfer learning are investigated. Word embeddings like Word2Vec, Fast Text, or Glove capture semantic relationships between words, improving the model's ability to understand context. Transfer learning, particularly using pre-trained language models like BERT or GPT-3, leverages large-scale language understanding, enabling the model to generalize better even on limited labeled data. The evaluation of the text classification models involves metrics like accuracy, precision, recall, and F1-score, ensuring a comprehensive understanding of their performance across different classes. Hyperparameter tuning and model optimization are conducted to achieve the best possible results.
Blockchain-Based Banking System
Authors: Sayyed Abrar
Published: May 2024

Abstract: The emergence of blockchain technology has revolutionized the traditional banking system by providing a decentralized, secure, and transparent platform for financial transactions. This research paper explores the feasibility and benefits of implementing a blockchain-based banking system. By examining current challenges within the traditional banking sector, such as lengthy transaction times, high fees, and lack of transparency, this paper argues that blockchain technology can offer a viable solution. The paper also evaluates the potential risks and regulatory concerns associated with blockchain-based banking systems, and proposes strategies to mitigate these challenges. This research paper aims to highlight the transformative potential of blockchain technology in revolutionizing the banking sector and improving financial services for both consumers and institutions.
Interactive Human 3D Model with Conventional AI
Authors: Jayakar Kashmira
Published: May 2024

Abstract: The convergence of interactive human 3D models with conventional artificial intelligence (AI) represents a groundbreaking fusion of computer graphics and intelligent systems. This interdisciplinary field combines advanced 3D modeling techniques with classical AI methodologies to create interactive virtual representations of humans. Rigorous studies in 3D modeling and animation form the basis for lifelike avatars, while conventional AI empowers these models with the ability to understand user inputs, make contextually relevant decisions, and engage in dynamic and responsive interactions. At the heart of this innovation is the emphasis on human-computer interaction (HCI), leveraging principles such as gesture recognition, voice commands, and user-friendly interfaces to enhance user experiences.
Medicinal Herb Identification Using CNN Model
Authors: Pisal Shriraj
Published: May 2024

Abstract: Automated herb identification plays a crucial role in various industries such as cosmetics, medicine, and food, where the need to accurately identify different plant species is essential. However, existing methods often face challenges when dealing with complex backgrounds and a wide variety of patterns, especially in wild environments. In response to these challenges, we propose an innovative convolutional neural network (CNN) model that incorporates two key components: the Part- Information Perception Module and the Species Classification Module. The Part-Information Perception Module in our model is designed to focus the model's attention on the relevant parts of the herb, effectively suppressing background noise. This mechanism allows the model to better discern the distinctive features of the herb itself, improving overall accuracy. Furthermore, we employ depthwise separable convolution and label smoothing techniques to reduce model complexity and minimize the impact of labelling inconsistencies, enhancing both efficiency and reliability. To validate the effectiveness of our model, we conducted experiments using a diverse dataset of herb images. The results demonstrate a significant improvement in accuracy and model efficiency compared to existing methods, making it a valuable tool for herb identification in challenging environments. In addition to herb identification, we also address the complex task of recognizing medicinal plant species. To facilitate this, we have created a dataset comprising image features of plant leaves, enabling the development of an automated recognition system using machine learning classifiers. Our experiments show that the classifiers achieve an impressive average accuracy rate of over 97%, highlighting the potential of our approach in accurately identifying medicinal plant species.
Dam Break Analysis of Khadakwasla Dam by Using HEC-RAS
Authors: Nigale Shubham , Kadu Prof. Avadhoot , Pagare Shree , Devapure Moreshwar , Bandagar Baba , Deokar Sanskruti
Published: May 2024

Abstract: A dam is a structure constructed across river which stores water and supplies water for various purposes. Though the dams have many benefits, there is always a threat of dam break floods which are devastating in nature. Hence, it becomes essential to analyze and simulate dam failure scenarios to understand the severity of dam break flood and identify areas under threat which helps in land use planning and developing emergency response plans. This study attempts to carry out dam break/breach analysis for the Khadakwasla dam using a one-dimensional hydraulic model called Hydraulic Engineering Center’s River Analysis System (HEC-RAS). HEC-RAS tool is utilized to determine the breach outflow hydrograph and hydraulic conditions at critical downstream locations. Further, the breach outflow hydrographs are routed using dynamic flood wave routing. Further, HEC-RAS model is simulated for breach parameters derived from five different empirical methods, and the results are compared.
Enhancing Qur'anic Recitation Experience with CNN and MFCC Features for Emotion Identification
Authors: Syafa'ah Lailis , Prasetyono Roby , Hariyady Hariyady
Published: May 2024

In this study, MFCC feature extraction and CNN algorithms are used to examine the identification of emotions in the murottal sounds of the Qur'an. A CNN model with labelled emotions is trained and tested, as well as data collection of Qur'anic murottal voices from a variety of readers using MFCC feature extraction to capture acoustic properties. The outcomes show that MFCC and CNN work together to significantly improve emotion identification. The CNN model attains an accuracy rate of 56 percent with the Adam optimizer (batch size 8) and a minimum of 45 percent with the RMSprop optimizer (batch size 16). Notably, accuracy is improved by using fewer emotional parameters, and the Adam optimizer is stable across a range of batch sizes. With its insightful analysis of emotional expression and user-specific recommendations, this work advances the field of emotion identification technology in the context of multitonal music.
МОНГОЛ УЛСЫН ШАШНЫ НӨХЦӨЛ БАЙДЛЫГ ДҮГНЭСЭН ОЛОН УЛСЫН ШАШНЫ ЭРХ ЧӨЛӨӨНИЙ ТАЙЛАНГ ШИНЖЛЭХ НЬ
Authors: С Янжинсүрэн
Published: May 2024

Шашин бол хүн төрөлхтний нийгэм, соёл, оюун санааны амьдралд хамгийн урт хугацаанд хамт байж ирсэн үзэгдэл ба тэр хэрээрээ хамгийн түгээмэл, тодорхой асуудал байх байтал харин ч тодорхойлоход төвөгтэй, эмзэг, зарим талаар далд, олон талтай үзэгдэл болж хөгжсөн байна. Тиймээс улс бүр шашны нөхцөл байдлаа эмх цэгцтэй, гэхдээ эрх чөлөөтэй байлгахыг эрмэлзэж төр, сүм хийдийн харилцаа, шашин шүтлэгийн эрх зүйн орчноо бүрдүүлэхэд анхаарч иржээ. Шашин шүтэх, эс шүтэх эрх бол Монгол Улсын хувьд “Онц болон дайны байдал” зарласан ч үл хөндөгддөг, хүний салшгүй эрх байдаг бөгөөд Монгол Улсад олон шашны 70 шахам урсгал, чиглэл ямар нэг хориг саадгүйгээр чөлөөтэй үйл ажиллагаа явуулж байгаа нь Монгол Улсад шашин, шүтлэг хоёр “чөлөөтэй” байгаагийн нотолгоо болно. Улс орнууд ард түмнүүдийн сүсэг бишрэлд холбогдох асуудлыг сонирхож, үзэл бодлоо илэрхийлж ирсэн онцлогтой. АНУ гадаад бодлогодоо шашны эрх чөлөөг дэмжих зарчим баримталдаг ба ингэхдээ 1998 онд Олон улсын шашны эрх чөлөөний актыг батлан мөрдөж эхэлжээ. Түүнээс хойш жил бүр дэлхийн улс орнуудын шашны нөхцөл байдлыг дүгнэсэн тайланг боловсруулж, олон нийтэд нээлттэй нийтэлж хэвшсэн бөгөөд тэдгээрийг нийтэд нь “Олон улсын шашны эрх чөлөөний тайлан” гэж албан ёсоор нэрлэдэг. Түүнчлэн АНУ-ын Төрийн департментаас Монгол Улсын шашны эрх чөлөөний тайланг тэрхүү Олон улсын шашны эрх чөлөөний тайлангийн хүрээнд боловсруулж жил бүр олон нийтэд нээлттэй нийтэлдэг. Тус өгүүлэлд Монгол Улсад холбогдох 2015, 2016, 2017, 2018 онуудын тайлангийн агуулгыг авч үзсэн болно.
Relación entre orientación estratégica a la innovación y desempeño organizacional: rol mediador del capital intelectual
Authors: Restrepo-Ramírez Carlos Gilberto , Sepúlveda-Rivillas Claudia Inés , Gómez-Montoya Mariana
Published: May 2024

Objetivo: analizar empíricamente la relación entre la orientación estratégica a la innovación y el desempeño organizacional a través de la mediación del capital intelectual.
Diseño/metodología: el estudio siguió un diseño transversal con alcance exploratorio, usando técnicas cuantitativas, como el método de enfoque de productos de coeficientes de Baron y Kenny (1986), para analizar el efecto mediador. La muestra estuvo conformada por 1765 empresas del sector manufacturero en Colombia, obteniendo los datos a partir de la Encuesta de Desarrollo e Innovación Tecnológica (EDIT) de la industria manufacturera para el periodo 2019-2020.
Resultados: se evidenció la existencia de una relación estadísticamente significativa entre la orientación estratégica a la innovación y desempeño organizacional; además, se demostró que el capital intelectual ejerce un rol mediador en esta relación.
Conclusiones: se concluye que el capital intelectual es un mecanismo a través del cual las iniciativas estratégicas orientadas a la innovación se traducen en mejores resultados organizacionales.
Originalidad: el presente estudio utiliza indicadores observables para operacionalizar los constructos analizados, aportando evidencia empírica sobre la forma como los aspectos relacionados con conocimientos y habilidades del personal, mejora de los procesos organizacionales y relaciones efectivas con los grupos de interés, potencian el efecto directo de la orientación estratégica a la innovación en el desempeño organizacional. De esta forma, el capital intelectual representa un nuevo mecanismo mediador que ha sido poco analizado en la literatura previa sobre orientación estratégica a la innovación y su impacto en el desempeño de las organizaciones.
The Internal Market & the EU Climate Regime: Interactions and Frictions in the Legal Norm Systems
Authors:   , Bentsen Amalie Toft
Published: May 2024

This PhD thesis investigates the interactions between the European Union’s internal market and the European Union’s climate regime. The purpose of the thesis is to determine if there are any frictions between the two legal norm systems of the internal market and the EU climate regime. The thesis applies the theory of critical legal positivism to investigate the interactions between the two legal norm systems as well as to determine the frictions between them. Accordingly, the thesis seeks to answer the following research question: How does the legal norm systems of the internal market and of the EU climate regime interact? Additionally, three sub-questions are introduced to guide the analysis towards answering the main research question. These three sub-questions are: I) What are the key principles of the internal market and the EU climate regime? II) To what extent do the principles of the internal market influence the principles of the EU climate regime? III) To what extent can the EU climate regime through human rights inform the internal market in the future? The thesis is divided into four parts: Part I: Purpose, theory & method; Part II: The internal market & the EU climate regime; Part III: The deeper layers of the internal market & the EU climate regime; Part IV: Discussion and conclusion.
Essays in Financial Markets and Beliefs
Authors:   , Spina Alessandro
Published: May 2024

This thesis represents the final product of my PhD studies at the Department of Finance and the Center for Financial Frictions (FRIC) at Copenhagen Business School. The thesis consists of three chapters. The chapters are self-contained and can be read independently. The first chapter, “Corporate Loan Spreads and Economic Activity,” documents a novel predictive measure of economic activity. We construct a loan spread measure based on the credit spreads of syndicated corporate loans. Credit spreads from syndicated loans capture information about borrower fundamentals and financial frictions not available in alternative credit spreads derived from the corporate bond market. The second chapter, “Market Segmentation and Cross-predictability,” examines how in-formation diuses across equity and syndicated loan markets. I test whether asset prices in one industry predict asset prices in an economically related industry. I expand these tests beyond the equity market, for the first time, and find evidence of slow information diusion in the syndicated loan market, in contrast to the equity market. The third chapter, “Heterogenous Expectation Formation,” studies how agents form ex-pectations. I use forecasts from macroeconomic surveys to explore the pattern of overreaction and underreaction in forecast revisions. I find that patterns in expectation formation are related to the experience of the analyst making the forecast. These findings show that het-erogeneity amongst respondents cannot be ignored when studying expectation formation.
Animal spirits, hubris, narcissism: Behavioural determinants of merger and acquisition outcomes
Authors: Garrow Nigel , Awolowo Ifedapo Francis
Published: May 2024

This paper draws upon the animal spirit, hubris, and narcissism theories to conduct an empirical study investigating the behavioural determinants influencing mergers and acquisitions (M&A). While M&A transactions have shown a trend of value destruction for acquiring firm shareholders, they have simultaneously demonstrated value enhancement for shareholders of the acquired firms. The repercussions of this value erosion extend beyond shareholders, impacting pension funds, employees, customers, suppliers, government tax revenues, and banks within the economy. Utilising a long-event window methodology, the research examines cumulative abnormal returns (CARs) for acquirers’ shareholders over a three-year post-completion period, focusing on Australian acquisitions from 1990 to 2006. The findings highlight animal spirit, hubris, and narcissism as significant behavioural determinants shaping M&A outcomes, thereby contributing to the ongoing discourse on hubris and hubris syndrome in M&A, with a suggestion that narcissism may be more prevalent than hubris. Additionally, the study identifies the joint tenure period of the Chairman and Chief Executive Officer (CEO) in the acquiring firm as a statistically significant factor contributing to acquiring firm shareholder value in M&A activities. Notably, a significantly negative correlation between CEO remuneration change and M&A outcomes is found. The paper recommends enhanced transparency for remuneration and nominations committees to address corporate governance issues raised by the study.
How do Computational Models in the Cognitive and Brain Sciences Explain?
Authors: Brun Cédric , Konsman Jan Pieter , Polger Thomas
Published: May 2024

The nature of explanation is an important area of inquiry in philosophy
of science. Consensus has been that explanation in the cognitive and
brain sciences is typically a special case of causal explanation,
specifically, mechanistic explanation (Craver 2007). But recently there
has been increased attention to computational explanation in the brain
sciences, and to whether that can be understood as a variety of
mechanistic explanation. After laying out the stakes for a proper
understanding of scientific explanation, we consider the status of
computational explanation in the brain sciences by comparing the
mechanistic proposal to computational accounts advanced by Piccinini
(2015), Milkowski (2013)), Cao (2019), Chirimuuta (2014, 2018), and Ross
(Ross 2015, 2023). We argue that many of these accounts of computational
explanation in neuroscience can satisfy the same explanatory criteria as
causal explanations, but not all. This has implications for
interpretation of those computational explanations that satisfy
different criteria.
Multiplicity of solutions for a singular Kirchhoff-type problem
Authors: Khamessi Bilel , Ghanmi Abdeljabbar
Published: May 2024

This paper deals with some Kirchhoff-type problems driven by a non-local
integrodifferential operator of singular elliptic type with combined
nonlinearities which generalizes the fractional Laplacian operator. Our main
result is to give and prove the existence of weak solutions for such
problems with homogeneous Dirichlet boundary conditions. The proof is based
on a variational method, precisely, we use the Nehari manifold method and
the analysis of the fibering maps.
Higher-order derivatives of self-intersection local time for linear fractional stable processes
Authors: Zhou Huan , Shen Guangjun , Yu Qian
Published: May 2024

In this paper, we aim to consider the k = (k1, k2,..., kd)-th order
derivatives ?(k)(T, x) of selfintersection local time ?(T, x) for the linear
fractional stable process X?,H in Rd with indices ? ? (0, 2) and H = (H1,...,Hd) ? (0, 1)d. We first give sufficient condition for the existence and
joint H?lder continuity of the derivatives ?(k)(T, x) using the local
nondeterminism of linear fractional stable processes. As a related problem,
we also study the power variation of ?(k)(T, x).
Hybrid number matrices
Authors: Çakır Hasan , Özdemir Mustafa
Published: May 2024

The aim of this study is to investigate some properties of hybrid number
matrices. Firstly, we introduce hybrid numbers with some of their
properties. Then we prove that any hybrid number has a 2 ? 2 complex matrix
representation, and we investigate hybrid number matrices using the
properties of complex matrices. Also we give answers to the following basic
question ?If =I, is it true that BA =I for hybrid number matrices?? Then
we define the complex adjoint matrix and the q?determinant of hybrid number
matrices and give some important properties. Finally, we give an explicit
formula for the inverse of a hybrid number matrix by using complex matrices.
Sequential warped product submanifolds in locally product Riemannian manifolds
Authors: Al-Asmari Najwa , Uddin Siraj , Naghi Monia
Published: May 2024

In this paper, wepresent sequential warped product submanifolds of locally
product Riemannian manifolds and show that there exists a class of
non-trivial sequential warped product submanifolds of a locally product
Riemannian manifold of the form (M? ??1 M?)??2 MT by giving non-trivial
examples. Also, we prove some useful results for such warped products and
establish Chen?s inequality which represents a relationship between the
squared norm of the second fundamental form for the warping functions ?1 and
?2. Further, some applications of our main result are given.
Characterization of sequential warped product gradient Ricci-Bourguignon soliton
Authors: Pahan Sampa , Dutta Souvik
Published: May 2024

In this paper, westudy characterization of sequential warped product gradient
Ricci-Bourguignon soliton. We derive applications of some vector fields like
torse-forming vector field, torqued vector field, conformal vector field on
Ricci-Bourguignon soliton. We show that for torse-forming vector field, a
Ricci- Bourguignon soliton becomes an almost quasi-Einstein manifold. Next,
we obtain the inheritance properties of the Einstein-like sequential warped
product gradient Ricci-Bourguignon almost soliton of class type P,A,B. We
prove that, when the manifold is complete, the potential function depends
only on M1 and M3 must be an Einstein manifold. We also present for a
gradient Ricci-Bourguignon soliton sequential warped product, the warping
functions are constants under some certain conditions.
Generalized buzano inequality
Authors: Bottazzi Tamara , Conde Cristian
Published: May 2024

If P is an orthogonal projection defined on an inner product space H, then
the inequality |?Px, y?| ? 1 2 [?x??y?+ |?x, y?|] fulfills for any x, y ? H
(see [10]). In particular, when P is the identity operator, then it recovers
the famous Buzano inequality. We obtain generalizations of such classical
inequality, which hold for certain families of bounded linear operators
defined on H. In addition, several new inequalities involving the norm and
numerical radius of an operator are established.
Fixed point results for a new multivalued Geraghty type contraction via CG-simulation functions
Authors: Taqbibt Abdellah , Chaib Mohamed , Elomari M’hamed , Melliani Said
Published: May 2024

The aim of this paper is to introduce the new concept of a multivalued
Geraghty type contraction mapping using CG-simulation functions and C-class
functions. Additionally, through this type of contraction, we establish
fixed point results that generalize several known fixed point results in the
literature. As consequences, we arrive at fixed point results endowed with
graph. To demonstrate the credibility of our results, we give an example
that proves it.
Weak solutions for elliptic problems in weighted anisotropic Sobolev space
Authors: Soltani Tahere , Razani Abdolrahman
Published: May 2024

Using Mountain Pass Theorem, the existence of weak solutions for ? ?N i=1 ?/?xi (a(x)| ?u/?xi |pi(x)?2 ?u/?xi) = ??(x)|u|q(x)?2u ? ??(x)|u|r(x)?2u,
with Dirichlet boundary condition is studied.
A generalized quaternionic sequence with Vietoris' number components
Authors: Şenturk Gülsüm
Published: May 2024

In this investigation, the aim is to determine a generalized quaternionic sequence with Vietoris' number components depending on 2-parameters ? and ?. Considering specific real values ? and ?, various types of classical quaternionic sequence with Vietoris' number components can be obtained as real, split, split-semi and so on. The fundamental algebraic structures, several classical expressions, a two and three term recurrence relations are identified, as well as Catalan-like, generating function and Binet-like formulas. Furthermore, a determinantal approach is used to generate the generalized quaternionic sequence with Vietoris' number components.
A note on quasi-versions of selection principles
Authors: Li Zuquan
Published: May 2024

In this paper, we introduce notions of hereditarily weakly selection
principles and strongly quasi-selection principles and show that they are
different from quasi-selection principles and weakly selection principles
which are studied in [1]. By introducing the strongly quasi-separability,
the quasi-separability and the weakly separability, we provide relations
among these separable properties and weak versions of selection principles.
These extend some results of G. Di Maio and Lj.D.R. Kocinac [1].
Function characterizations of some topological spaces
Authors: Yang Er-Guang
Published: May 2024

We present some new characterizations of some spaces such as stratifiable
spaces, MCP-spaces in terms of real-valued functions.
Result on controllability of Hilfer fractional integro-differential equations of Sobolev-type with non-instantaneous impulses
Authors: Kumar Parveen , Vats Ramesh , Kumar Ankit
Published: May 2024

This paper is concerned with the existence and controllability results for a
class of Hilfer fractional differential equations of Sobolev-type with
non-instantaneous impulse in Banach space. In order to bring off the main
results, the author used the theory of propagation family {P(?)}??0
(generated by the operator pair (A,R)), measure of non-compactness, and the
fixed point methods. The primary goal of this study is to determine the
controllability of a dynamical system without assuming that R?1 is a bounded
operator, and no relationship between the domain of the operators A and R.
At the end, we provide an example to illustrate the main results.
m-quasi Einstein manifolds with subharmonic potential
Authors: Shaikh Absos , Mandal Prosenjit , Mondal Chandan , Ali Akram
Published: May 2024

The main objective of this paper is to investigate the m-quasi Einstein
manifold when the potential function becomes subharmonic. In this article,
it is proved that an m-quasi Einstein manifold satisfying some integral
conditions with vanishing Ricci curvature along the direction of potential
vector field has constant scalar curvature and hence the manifold turns out
to be an Einstein manifold. It is also shown that in an m-quasi Einstein
manifold the potential function agrees with Hodge-de Rham potential up to a
constant. Finally, it is proved that if a complete non-compact and
non-expanding m-quasi Einstein manifold has bounded scalar curvature and the
potential vector field has global finite norm, then the scalar curvature
vanishes.
Inverse conformable Sturm-Liouville problems by three spectra with discontinuities and boundary conditions
Authors: Shahriari Mohammad
Published: May 2024

In this manuscript, we consider the conformable fractional Sturm-Liouville
problem (CFSLP) with finite numbers of transmission conditions at an
interior point in [0, ?]. Also, we study the uniqueness theorem for inverse
second order of fractional differential operators by applying three spectra
with a finite number of discontinuities at interior points. For this aim, we
investigate the CFSLP in three intervals [0, ?], [0, p], and [p, ?] such
that p ? (0, ?) is an interior point.
Sequential warped product submanifolds in nearly Kaehler manifolds
Authors: Khan Kamran , Khan Viqar , Khan Meraj
Published: May 2024

A new class of warped product manifolds which is known as sequential warped
product manifolds have been defined in [15] and studied in detail in [9].
This article is dedicated to study sequential warped product submanifolds
having factors holomorphic, totally real and pointwise slant submanifolds of
nearly Kaehler manifolds. We obtained Chen?s inequality for sequential
warped product submanifolds involving second fundamental form and warping
functions.
Comparison of proper shape and proper shape over finite coverings
Authors: Shekutkovski Nikita , Buklla Abdulla
Published: May 2024

The theory of proper shape over finite coverings, defined in [8], uses only
finite coverings to compare noncompact spaces. In this paper we investigate
the relations between this theory and the proper shape defined by Ball and
Sherr in [3]. We show that if two spaces have same proper shape they belong
to the same class in theory of proper shape over finite coverings, but the
opposite doesn?t hold in general.
Trisodium Citrate Antimicrobial Efficacy at Different Concentrations (4.0%, 30.0%, and 46.7%) in Tunneled Hemodialysis Catheters: An In Vitro Study
Authors: Miller George , Ogujiofor Kingsley , Palme Donald , Fatima Rukhaiya , Pratt Timothy
Published: May 2024

Highlights
The Efficacy of Various Plant Extracts on the Eradication of Microbial Biofilm
Authors: Abdullah Hamad* Anas
Published: May 2024

The biofilm and its effects on humans and animals are critical topics to investigate. The first step in treating biofilm with neutral or medicinal plant extracts is to understand the mechanisms of action and how these extracts target the biofilm bacterial species. According to the most up-to-date research, medicinal plant extracts offer a wide range of biological potential, involving antioxidant, antibacterial and anti-inflammatory effects. Biofilm formation occurs in several stages involving attaches to the surface, develops an irreversible matrix, begins to form and releases the balance, and then initiates a new cycle. Quorum sensing (QS) is a mechanism through which bacteria communicate among each other through using tiny molecules. The main mechanisms by which natural products inhibit the development quorum sensing networks and biofilms are by suppressing cell adhesion, stopping the production of extracellular matrix, and reducing synthesis of variance factors. The ability of plant extracts to act as resistance modifying agents is a promising field in preventing the spread of bacterial resistance. The information in this review article was gathered from scientific articles indexed in databases such as PubMed, Scopus, ISI and Google Scholar from 2001 to 2022.
Impact of Scientific Agricultural Technologies on Livelihood Security of Tribal Farmers in Assam
Authors: Sharma Haridra , Mishra Prasanta
Published: May 2024

The study was conducted during December, 2019 to December, 2021 at Assam Agricultural University, Jorhat, Assam, india  with an objective to examine the impacts of scientific agricultural technologies on tribal livelihood security. Ex-post-fact research design was adopted to collect data from 400 tribal farmers from four tribal dominated districts viz., Chirang, Kokrajhar, Dhemaji and Karbi Anglong of Assam. Impacts weremeasured in terms of Livelihood Security Index (LSI) and Livelihood Endowment Status (LES) developed by Abadi (2010). When assessed on the basis of LSI, overall 31.00% shift was observed in case of beneficiary tribal farmers on before and after basis. LES was assessed comparing the beneficiary tribal farmers with non-beneficiary tribal farmers and the data revealed significant difference of 26.00% between the two groups. However, it was evident from the investigation that time gap in input supply, non-availability of suggested inputs locally after project period, high cost of inputs, lack of own capital to maintain the enterprises, difficulty in maintaining accounts etc. were the foremost problems faced by majority of the respondents.
Análise do atendimento prestado à mãe e ao recém-nascido no momento do parto em maternidades públicas e privadas no estado do Espírito Santo – Brasil
Authors: Santos Andréia Soprani dos , Caetano Ana Paula Barbosa Lopes , Bubach Susana , Poton Wanêssa Lacerda
Published: May 2024

Objetivo: analisar o atendimento oferecido à mãe e ao recém-nascido no momento do parto em maternidades do Espírito Santo, segundo o tipo de serviço prestado, avaliados através de indicadores baseados nas recomendações de boas práticas assistenciais preconizadas pela OMS e pelo programa Rede Cegonha. Métodos: estudo seccional aninhado a uma coorte de nascimento hospitalar multicêntrica. Entrevistas foram realizadas na maternidade, aos 7 e 27 dias. A avaliação do atendimento foi baseada nas recomendações do componente parto e nascimento, tendo como desfecho o tipo de serviço prestado: público ou privado. Para análise utilizou-se modelo hierárquico e regressão de Poisson com ajuste robusto da variância. Resultados: as maternidades públicas apontaram maior prevalência quanto à classificação do risco gestacional (RP: 3,33; IC 95%: 2,99; 3,70); exame pré-parto (RP: 2,38; IC 95%: 1,60; 3,53), uso de ocitocina (RP: 1,23; IC 95%: 1,11; 1,29) e parto vaginal (RP: 1,15; IC 95%: 1,09; 1,21) e menor prevalência quanto à presença do acompanhante (RP: 0,83; IC 95%: 0,77; 0,89), contato pele a pele na sala de parto (RP: 0,92; IC95%: 0,86; 0,98), pediatra na sala de parto (RP: 0,81; IC 95%: 0,70; 0,93), alojamento conjunto (RP: 0,92; IC 95%: 0,86 ;0,98) e orientação sobre o aleitamento materno (RP: 0,90; IC 95%: 0,84; 0,96). Conclusão: tanto as maternidades públicas quanto as privadas ainda precisam ajustar-se para garantir a realização de boas práticas, conforme definidas pela OMS e SUS, que assegurem a assistência qualificada para o binômio mãe-filho.
PEMANFAATAN MOTION GRAPHIC ANIMASI 2D SEBAGAI MEDIA PROMOSI
Authors: Serdin Tasya Fadila , Andriani Ria , Fiana Agus Endra
Published: May 2024

Peranan media promosi dalam menyajikan informasi lengkap sangat dibutuhkan di era teknologi sekarang. Dalam bidang usaha, instansi, organisasi, atau individu, semuanya membutuhkan adanya media promosi guna memberikan info terbaru terkait suatu produk jasa atau barang yang akan ditawarkan. Saat ini social media merupakan salah satu wadah dalam memberikan informasi. Permasalahan yang sering terjadi Yogyakarta dalam melakukan promosi ke masyrakat kurangnya memanfaatkan media untuk melakukan promosi sehingga banyak calon mahasiswa kebingunagan apa saja yang akan di dapatkan selama kuliah ketika mengambil konsentrasi. Di sisi lain banyak pertanyaan yang terus bermunculan dari mahasiswa ke Prodi D3 Teknik Informatika baik bertanya langsung atau secara personal maupun di media sosial prodi sehingga membutuhkan banyak waktu untuk menjelaskan kepada setiap mahasiswa yang bertanya, hal tersebut tentu saja tidak efektif dan efesien dalam melakukan kegiatan promosi.
Hasil penelitian ini berupa video animasi motion graphic 2D dan sudah diimplementasikan oleh pihak Prodi D3 Teknik Informatika melalui Instagram Prodi yaitu @prodid3ti. Dari animasi yang sudah di unggah dan mendapatkan insight cukup tinggi, harapannya ialah dapat membantu promosi Prodi untuk dikenal secara luas di social media.
PENGUKURAN KUALITAS JARINGAN OPERATOR TELEKOMUNIKASI UNTUK PEMENUHAN KEBUTUHAN PENDUDUK DAN TATA MENARA TELEKOMUNIKASI
Authors: Sa’di Ahmad
Published: May 2024

Banyaknya menara telekomunikasi di Kota Yogyakarta dapat menjadi tolak ukur tersedia jaringan telekomunikasi disebuah lokasi. Namun keberadaanya belum diketahui kualitas jaringan karena belum dilakukan pengukuran oleh regulator yaitu Dinas Kominfosandi Kota Yogyakarta. Dari ketidak tahuan tersebut, regulator ada kebimbangan akan memberikan izin atau tidak kepada operator. Padahal dari kajian sebelumnya menara telekomunikasi di Kota Yogyakarta telah banyak didirikan, bahkan beberapa pendirianya tidak berizin.
Kegiatan pengukuran kualitas jaringan telekomunikasi dan penilaian kerapatan keberadaan menara dan operator sangat perlu dilakukan. Hasilnya yaitu kekuatan signal jaringan dan coverage area sudah sangat baik dan coverage area menyeluruh di wilayah kota Yogyakarta. Tingkat kualitas bar signal 4 sampai dengan 5 dari nilai maksimal 5, tidak ada titik lokasi yang mengalami blank spot (tidak mendapatkan signal). Diukur di lokasi yang tidak padat penduduk dan tidak popular, signal masih baik dengan kualitas bar signal 4. Pengukuran kualitas jaringan menggunakan aplikasi Opensignal dan nPerf dengan mendatangi lokasi-lokasi yang telah ditetapkan lokasi pengujian. Adapun di tiap kecamatan telah didirikan menara telekomunikasi, total menara telekomunikasi di kota Yogyakarta dari data kajian sebelumnya tahun 2021 yaitu 335.
PREDIKSI PRODUK DISKON UNTUK PENJUALAN KOKO SHOPE MENGGUNAKAN ALGORITMA APRIORI
Authors: Imran Muhammad Khamjah Bin , Seniwati Erni
Published: May 2024

Koko shope merupakan sebuah toko yang menjual barang-barang yang berhubungan dengan k-pop. Seiring berjalan nya waktu, data transaksi pada koko shope semakin menumpuk dan hal ini akan sia-sia apabila dibiarkan begitu saja. Algoritma Apriori adalah suatu algoritma yang digunakan untuk  penentuan frequent itemsets pada aturan asosiasi Boolean. Algoritma apriori termasuk jenis aturan asosiasi pada data mining. Analisis asosiasi atau association rule adalah tehnik pada data mining yang di gunakan untuk menemukan aturan suatu kombinasi item. Suatu aturan asosiasi dapat diketahui dengan dua parameter , yaitu support dan confidence. Support (nilai penunjang) adalah presentase kombinasi item tersebut dalam basis data, sedangkan confidence (nilai kepastian) adalah kuatnya hubungan antar item dalam aturan asosiasi Keluaran dari algoritma ini merupakan sebuah aturan asosiasi yang terdiri dari beberapa kombinasi itemset, yang bisa digunakan untuk membantu dalam memperbaiki pengambilan keputusan dimasa yang akan datang. Salah satu manfaat dari pengambilan keputusan ini adalah sebagai bahan rekomendasi pembuatan sebuah bundel diskon barang berdasarkan aturan asosiasi yang terbentuk agar promo yang dibuat dapat tepat sasaran dan sesuai  kebutuhan pasar.
ANALISIS DAN PENGUJIAN SISTEM KEAMANAN PADA JARINGAN WIFI
Authors: Hidayat Ifan , Andriani Ria , Kurniadi Cessaricki Yudi , Ardianto Ari
Published: May 2024

Pada perkembangan teknologi, kehidupan manisia saat ini sulit di pisah dengan  teknologi  informasi dan komunikasi. Contoh dari teknologi komunikasi dan informasi adalah jaringan wireless. Tidak bisa kita pungkiri hampir di semua tempat  ada wireless, misal di kantor, sekolah, kedai, dan laininya. Terkadang banyak orang tidak menyadar bahwa kerentanan keamanan data pada jaringan sangat rawan. Pada proses bertukarnya data banyak celah di jaringan wireless itu.. Peneliti ingin membantu untuk beberapa cara untuk meminimalisir terjadinya kerentanan  data keamanan hal itu, terutama pada sistem keamanan wireless. Pada jaringan wireless ada 3 tols sitem keamananya, yaitu WPA, WPA2 serta MAC Filtering. Pada keamanan jaringan wireless menggunakan WPA yaitu mengunakan password default. Keamanan ini sangat rentang, karena WPA menggunkan password default. Pada jaringan wireless menggunakan sitem keamanan WPA2 in dimana menggunakan password yang telah terenkripsi. Sedangkan MAC Filterng ini yatu. Membatasi mana user yang terdaftar dan dimana user yang tidak terdaftar pada jaringan wareless.  Kami peneliti juga memberi tahu salah satu cara orang yang tidak bertanggung jawab bagaimana cara masuk kesebuah jaringan wareless, dengan cara menggunakan Airgeddon.
PERANCANGAN SISTEM INFORMASI WISATA DI YOGYAKARTA BERBASIS WEB
Authors: Mujito Mujito , Andriani Ria , Abdillah Ifan Wahyu , Arditya Vikha Hendra
Published: May 2024

Informasi sangat mudah kita dapatkan sesuai dengan yang kita butuhkan dengan Teknologi Informasi. Dalam dunia Teknologi Informasi serta Informasi Internet merupakan tempat yang paling berperan. Informasi tentang objek-objek wisata dijogja belum cukup memadai,sehingga mengakibatkan wisatawan tidak mengetahui adanya beberapa objek wisata yang didalamnya sangat potensial.Oleh sebab itu perlu diatasi dengan adanya promosi dan penyediaan informasi berbasis website. Sistem informasi yang berbasis website ini mencakup di dalamnya unsur teks, gambar dan video. Media ini menjadi menarik karena unsur tersebut. Penerapan teknologi informasi  wisata berbasis web mempermudah wisatawan jogja dalam memperoleh informasi yang lebih efektif dan sekaligus mempromosikan Daerah Istimewa Yogyakarta.
IMPLEMENTASI ALGORITMA SUPPORT VECTOR MACHINE UNTUK SENTIMEN ANALISIS CYBERBULLYING PADA KOLOM KOMENTAR INSTAGRAM ARTIS
Authors: Julianto M. Rayhan Wahyu , Wasistha Dyah , Hartanto Anggit Dwi
Published: May 2024

Dibalik meningkatnya angka pengguna instagram, ternyata banyak pengguna instagram yang masih belum paham tentang bagaimana etika untuk bersosialisasi dengan baik pada dunia maya, sehingga permasalahan cyberbullying masih kerap terjadi. Cyberbullying merupakan tindakan mengolok-olok yang dilakukan melalui dunia internet. Tindakan cyberbullying sudah memiliki banyak korban di seluruh dunia mulai dari depresi ringan dan berat hingga kematian pun kerap terjadi. Oleh karena itu, penelitian ini dilakukakan dengan tujuan untuk membuat sistem yang dapat mengklasifikasikan komentar pada kolom komentar instagram apakah mengandung unsur cyberbullying atau tidak. Support Vector Machine (SVM) merupakan metode klasifikasi yang digunakan pada penelitian ini dimana setiap data akan melewati tahap preprocessing dan ekstraksi fitur TF-IDF, kemudian akan dilakukan evaluasi dan pengujian dengan menggunakan metode K-Folds Cross-Validation. Setelah dilakukan penelitian ini, kesimpulan pada penelitian ini adalah untuk menganalisis sentimen cyberbullying yang terdapat pada kolom komentar instagram milik artis dapat dilakukan dengan metode klasifikasi Support Vector Machine (SVM) yang mana data dibagi menjadi 3 tipe yaitu postive cyberbullying, neutral, dan negative cyberbullying dengan menggunakan proses stemming pada tahap preprocessing dengan hasil akurasi sebesar 92,31%.
MENDETEKSI OBJEK BEDASARKAN WARNA MENGGUNAKAN HSV COLOR SPACE SECARA REALTIME
Authors: Purwoko Joshua Dwi Giovani , Pratama Jibran Yoga , Hartanto Anggit Dwi
Published: May 2024

Mendeteksi objek berdasarkan warnatmerupakan salah satu metodetsegmentasi yang dilakukan dengan pendekatan visi computer (computer vision) untuk dapat dikenali oleh computer dengan akurat. Pada penelitian kali ini kami menggunakan metode HSV color space untuklmenghasilkan segmenmcitra berupa thresholding sehinggasdapat dideteksi oleh computer.Hasilppengujian danbanalisa yang telah kami peroleh bahwa penentuan nilai awal dari rentang warna berpengaruh pada hasil yang akan didapatkan pada saat proses segmentasi.Karena sampel warna yang dipilih akan digunakan sebagai nilai acuan untuk dibandingkan dengan objek yang akan diuji.
Simulation of the Hydrodealkylation of Toluene Using Conversion Reactor
Authors: Agustriyanto Rudy , Setyopratomo Puguh , Mochni Endang Srihari , Purwanto Edy
Published: May 2024

Abstract—The hydrodealkylation of toluene is frequently used to produce the more valuable compound benzene. This process is widely employed in the petrochemical industry. Through hydrodealkylation, toluene undergoes a transformation, resulting in the production of valuable chemicals such as benzene and diphenyl. The objective of this study is to present the results obtained from simulating the process of toluene dealkylation using Aspen HYSYS. The feed to the reactor must contain toluene and hydrogen, while the recommended operating conditions are at 500 oC to 650 oC and 20 to 40 atm pressure to achieve 90% conversion. For this purpose, a conversion reactor has been selected as the preferred type. The simulation outcomes are particularly valuable during the initial stages of designing a production facility for benzene. The mass and energy balance calculations can be easily performed using Aspen HYSYS. Future research may focus on investigating different reactor types while considering the kinetics of the reaction.
 Keywords: aspen HYSYS, hydrodealkylation, simulation, toluene
 
Abstrak—Hidrodealkilasi toluena sering digunakan untuk menghasilkan senyawa yang lebih bernilai yaitu benzene. Proses ini banyak digunakan dalam industri petrokimia. Melalui hidrodealkilasi, toluena mengalami transformasi, menghasilkan bahan kimia berharga seperti benzene dan diphenyl. Tujuan dari penelitian ini adalah untuk menyajikan hasil yang diperoleh dari mensimulasikan proses dealkilasi toluena menggunakan Aspen HYSYS. Umpan ke reaktor harus mengandung toluena dan hidrogen, sedangkan kondisi operasi yang direkomendasikan adalah pada suhu 500 oC hingga 650 oC dan tekanan 20 hingga 40 atm untuk mencapai konversi 90%. Untuk tujuan ini, reaktor konversi telah dipilih sebagai tipe yang disukai. Hasil simulasi sangat berharga selama tahap awal perancangan fasilitas produksi benzene. Perhitungan neraca massa dan energi dapat dengan mudah dilakukan menggunakan Aspen HYSYS. Penelitian masa depan dapat fokus pada penyelidikan berbagai jenis reaktor sambil mempertimbangkan kinetika reaksi.
Kata kunci: aspen HYSYS, hidrodealkilasi, simulasi, toluene
Taip Identity of the Youth of the Chechen Republic: 11 Years Later (Experience of Sociological Research)
Authors:   Integrated Research Institute named after Kh.I. Ibragimov of the Russian Academy of Sciences, Zhemchuraeva Seda Sh.
Published: May 2024

The Chechen Taip Institute remains an interesting topic for scientists. The article presents the results of an applied sociological study addressing the issue of the Typic identity among Chechens. It was implemented by the interview method (n = 750) and allowed to characterize the state and specificity of transformations of the university students’ Taip identity in the region. The paper presents the results of a comparative analysis of sociological measurements in an 11-year time interval. The analysis of the survey materials allows us to draw conclusions regarding the absence of real social functions of the Taip in modern Chechen society. The position of this entity is “weakening” against the background of “strengthening” Chechen ethno-confessional and civil identities. It is emphasized that the social institution of the Taip is gradually acquiring the characteristics of a “mythical” brotherhood against the backdrop of integration and globalization processes, which are accompanied by the individualization of self-awareness among modern Chechens and their recognition of the priority of personal manifestations over collective models of behavior determined by such a social community as the Taip.
Online-Simulators as a Technology for Developing Reading Literacy in Schoolchildren
Authors:   Kazan Federal University, Kamalova Lera A. , Tairova Alexandra A. ,   Kazan Federal University, Mokeeva Ekaterina V. ,   Kazan Federal University, Putulyan Narina S. ,   Kazan Federal University, Rybakova Laysan A. ,   Kazan Federal University
Published: May 2024

The relevance of this study is driven by the shifting priorities in modern education, aimed at ensuring quality and fostering functional literacy among modern schoolchildren. A pivotal aspect in this endeavor is the quality of reading and text comprehension. Existing research in both international and Russian contexts regarding this issue focuses on the final assessment of students’ learning outcomes. This study aims to systematically foster and develop reading literacy among schoolchildren through the utilization of developed online-simulators during literary reading lessons. These platforms enable students to locate information within texts, formulate conclusions, analyze, and evaluate the content of what they read. It is proved that the systematic use of educational online-simulators in primary school contributes to the formation and development of students’ reading literacy, enabling them to comprehend written texts, establish causal relationships between its parts, draw conclusions, understand the author’s attitude to heroes and events, interpret information, and apply knowledge in both academic and real-life contexts. By integrating these platforms into the educational curriculum, educators can create dynamic and personalized learning experiences that empower students to become proficient readers and critical thinkers. Moving forward, further research is warranted to explore the long-term effects of online-simulators on literacy development and their broader implications for educational practice.