bluuebunny/crossref_metadata_2025 huggingface dataset:
Depressonify: BERT a deep learning approach of detection of depression
Authors: Kumari Meena , Singh Gurpreet , Pande Sagar Dhanraj
Published: March 2024

INTRODUCTION: Depression is one of the leading psychological problems in the modern tech era where every single person has a social media account that has wide space for the creation of depressed feelings. Since depression can escalate to the point of suicidal thoughts or behavior spotting it early can be vitally important. Traditionally, psychologists rely on patient interviews and questionnaires to gauge the severity of depression.
OBJECTIVES: The objective of this paper is earlier depression detection as well as treatment can greatly improve the probability of living a healthy and full life free of depression.
METHODS: This paper introduces the utilization of BERT, a novel deep-learning, transformers approach that can detect levels of depression using textual data as input.
RESULTS: The main result obtained in this paper is the extensive dataset consists of a total of 20,000 samples, which are categorized into 5 classes and further divided into training, testing, and validation sets, with respective sizes of 16,000, 2,000, and 2,000. This paper has achieved a remarkable result with a training accuracy of 95.5% and validation accuracy of 92.2% with just 5 epochs.
CONCLUSION: These are the conclusions of this paper, Deep learning has a lot of potential for use in mental health applications, as seen by the study's outstanding results, which included training accuracy of 95.5%. But the path towards comprehensive and morally sound AI-based mental health support continues into the future.
Effective Cataract Identification System using Deep Convolution Neural Network
Authors: Senthil Prakash P N , Sudharson S , Woonna Venkat Amith , Teja Bacham Sai Venkat
Published: March 2024

INTRODUCTION: The paper introduces a novel approach for the early detection of cataracts using images captured using smartphones. Cataracts are a significant global eye disease that can lead to vision impairment in individuals aged 40 and above. In this article, we proposed a deep convolution neural network (CataractsNET) trained using an open dataset available in Github which includes images collected through google searches and images generated using standard augmentation mechanism. OBJECTIVES: The main objective of this paper is to design and implement a lightweight network model for cataract identification that outperforms other state-of-the-art network models in terms of accuracy, precision, recall, and F1 Score. METHODS: The proposed neural network model comprises nine layers, guaranteeing the extraction of significant details from the input images and achieving precise classification. The dataset primarily comprises cataract images sourced from a standardized dataset that is publicly available on GitHub, with 8000 training images and 1600 testing images. RESULTS: The proposed CataractsNET model achieved an accuracy of 96.20%, precision of 96.1%, recall of 97.6%, and F1 score of 96.1%. These results demonstrate that the proposed method outperforms other deep learning models like ResNet50 and VGG19. CONCLUSION: The paper concludes that identifying cataracts in the earlier stages is crucial for effective treatment and reducing the likelihood of experiencing blindness. The widespread use of smartphones makes this approach accessible to a broad audience, allowing individuals to check for cataracts and seek timely consultation with ophthalmologists for further diagnosis.
Fire Safety of Battery Electric Vehicles: Hazard Identification,
Detection, and Mitigation
Authors: Shen Ruiqing , Quan Yufeng , McIntosh James D. , Salem Asad , Wang Qingsheng
Published: March 2024

Battery electric vehicles (EVs) bring significant benefits in reducing the carbon
footprint of fossil fuels and new opportunities for adopting renewable energy.
Because of their high-energy density and long cycle life, lithium-ion batteries
(LIBs) are dominating the battery market, and the consumer demand for
LIB-powered EVs is expected to continue to boom in the next decade. However, the
chemistry used in LIBs is still vulnerable to experiencing thermal runaway,
especially in harsh working conditions. Furthermore, as LIB technology moves to
larger scales of power and energy, the safety issues turn out to be the most
intolerable pain point of its application in EVs. Its failure could result in
the release of toxic gases, fire, and even explosions, causing catastrophic
damage to life and property. Vehicle fires are an often-overlooked part of the
fire problem. Fire protection and EV safety fall into different disciplines. To
bridge the gap between these two disciplines and summarize the state-of-the-art
knowledge of fire safety issues of EVs, this review article will provide a
comprehensive overview of their fire hazard identification, detection, and
mitigation strategies. This article also highlights the failure mechanisms of
LIBs in EVs, which establish the basis for understanding the LIB fire safety
issues in EVs. The aim of this review article is to provide a general and basic
understanding of the fire hazards of EVs from different scales to both engineers
and researchers. This review article can also be used as educational material
for the public and emergency responders to increase their awareness of the fire
safety of modern EVs.
Hybrid knowledge-infused collaborative filtering for enhanced movie clustering and recommendation
Authors: Phan Hong Thi Thu , Nguyen Vuong Luong , Vo Trinh Quoc , Pham Nguyen Ho Trong
Published: March 2024

This article proposes an enhanced knowledge-based collaborative filtering model for movie recommendation services to address the limitations of collaborative filtering in capturing the diverse preferences and specific characteristics of movies. The proposed model integrates external knowledge sources, such as movie plots and reviews, to enrich the recommendation process. By leveraging this additional information, the model can better understand movies’ unique features and attributes, improving recommendation accuracy and relevance. The knowledge-based features are extracted and incorporated into the collaborative filtering framework, enhancing the model’s ability to match user preferences with movie characteristics. Experiments are conducted using the MovieLens dataset to evaluate the proposed model. The MAE and RMSE metrics are employed to assess the quality of recommendations. Comparative analyses are conducted against various baseline approaches, including popularity-based, CF-based, content-based, and hybrid recommendation models. The experimental results demonstrate the effectiveness of the proposed knowledge-based collaborative filtering model. The proposed model consistently outperforms the baselines, providing more accurate and personalized recommendations.
Integrating BIM and computer vision for preventing Hazards at construction sites
Authors: Tran Si
Published: March 2024

Construction safety monitoring is vital in enhancing site safety, such as tracking entering hazardous areas and the correlation between workers and other hazard entities. Therein, computer vision-based image/video processing, one of the emerging technologies, has been actively used to automatically identify and recognize unsafe conditions. However, the construction site has various potential hazard situations during the project. Due to the site’s complexity, many visual devices simultaneously participate in monitoring. It challenges developing and operating corresponding detection algorithms at specific workplaces and times. Besides, safety information detected by computer vision must be organized before being delivered to stakeholders. Hence, this study proposes an approach for construction safety monitoring using vision intelligence technology and BIM-cloud, called BMT. The BMT comprises two modules: (1) the virtual model based on the 4D BIM-cloud model, which provides the spatial-temporal information to decide computer vision algorithm adoptions; (2) the construction physical model built the vision intelligence technologies, which is supported by (1) and deliver safety status and update into the BIM-cloud model to visualize and deliver the risk level to related employees. The efficiency of the BMT approach is validated by testing with the preliminary implementation of a prototype.
Higher Coderivations on Coalgebras and Characterization
Authors:   Department of Mathematics, Bojnourd Branch, Islamic Azad University, Iran, TAFAZOLI E. , MIRZAVAZIRI M. ,   Department of Pure Mathematics, Ferdowsi University of Mashhad, Iran
Published: March 2024

In this paper we deﬁne higher coderivations on a coalgebra C and then we characterize them in terms of the coderivations on C. Indeed, we show that each higher coderivation is a combination of compositions of coderivations. Finally we prove a one to one correspondence between the set of all higher coderivations on C and all sequences of coderivations on C.
Note on the Multifractal Formalism of Covering Number on the Galton-Watson Tree
Authors:   Faculty of Scienes of Monastir, Tunisia, ATTIA NAJMEDINE ,   Department of Mathematics and Statistics, College of Science, King Faisal University,   Saudi Arabia, HADJ KHALIFA MERIEM BEN ,   ESPRIT School of Engineering, Tunis, Tunisia
Published: March 2024

We consider, for t in the boundary of Galton-Watson tree (∂T), the covering number Nn(t) by cylinder of generation n. For a suitable set I and a sequence (sn,γ), we establish almost surely, and uniformly on γ, the Hausdorff and packing dimensions of the set {t ∈ ∂T : Nn(t) − nb ∼ sn,γ} for b ∈ I.
Bertrand’s Paradox: New Probabilistic Models
Authors:   Teacher Education Faculty, University of Belgrade, Serbia, VIDOVIĆ ZORAN
Published: March 2024

In this paper two new generating procedure of a random chord are obtained and thereby new solutions of Bertrand’s paradox are proposed.
A Totally Relaxed Self-Adaptive Subgradient Extragradient Scheme for Equilibrium and Fixed Point Problems in a Banach Space
Authors:   School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, South Africa, OYEWOLE OLAWALE KAZEEM , ABASS HAMMED ANUOLUWAPO ,   School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, South Africa, MEWOMO OLUWATOSIN TEMITOPE ,   School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, South Africa
Published: March 2024

The goal of this paper is to introduce a Totally Relaxed Self adaptive Subgradient Extragradient Method (TRSSEM) together with an Halpern iterative method for approximating a common solution of Fixed Point Problem (FPP) and Equilibrium Problem (EP) in 2-uniformly convex and uniformly smooth Banach space. We prove the strong convergence of the sequence generated by our proposed method. The proposed method does not require the computation of a projection onto a feasible set, it instead requires a projection onto a ﬁnite intersection of sub-level sets of convex functions. Our result generalizes, uniﬁes and extends some related results in the literature.
Constructing Symmetric Equality Algebras
Authors:   Department of Mathematics, Faculty of Mathematical Sciences, Shahid Beheshti University, Iran, BORZOOEI RAJAB ALI , KOLOGANI MONA AALY ,   Hatef Higher Education Institute, Iran, HASHEMI MOHAMMAD ALI ,   Department of Mathematics, Payame Noor University, Iran, MOHAMMADZADEH ELAHE ,   Department of Mathematics, Payame Noor University, Iran
Published: March 2024

In this paper, we introduce the notion of strong fuzzy ﬁlter on hyper equality algebras and investigate some equivalence deﬁnitions of it. Then by using this notion we constructed a symmetric equality algebra and deﬁne a special form of classes. By using these, we deﬁne the concept of a fuzzy hyper congruence relation on hyper equality algebra and we prove that the quotient is made by it is an equality algebra. Also, by using a fuzzy equivalence relation on hyper equality, we introduce a fuzzy hyper congruence relation and prove that this fuzzy hyper congruence is regular and ﬁnally we prove that the quotient structure that is made by it is a symmetric hyper equality algebra.
Optimizing Chance Constraint Multiple-Objective Fractional Mathematical Programming Problem Involving Dependent Random Variable
Authors:   Department of Mathematics,College of Natural and Computational Sciences Debre Tabor University, Ethiopia, BELAY BERHANU , ACHARYA SRIKUMAR ,   Department of Mathematics,School of Applied Sciences KIIT Deemed to be University, India
Published: March 2024

This manuscript suggests a methodology to solve chance constraint multiple-objective linear fractional mathematical programming problem in which the parameters are dependent random variables to each other. The proposed problem is formulated by taking few of the parameters as continuous dependent random variables. The proposed model cannot be solved directly by using existing methodology. Thus in order to solve the proposed model, an equivalent deterministic model is derived. The procedure to solve the proposed model is accomplished in two main steps. Initially, the proposed multiple-objective chance constraint linear fractional mathematical problem is transformed to deterministic equivalent multiple-objective linear fractional mathematical programming by the help of chance constrained method. In the second step, multiple-objective functions, which consist of fractional functions is solved by using lexicographic programming approach. Finally, an example is mentioned to illustrate the methodology.
Positivity and Periodicity in Nonlinear Neutral Mixed Type Levin-Nohel Integro-Differential Equations
Authors:   Department of Mathematics and Informatics, University of Souk Ahras, Algeria, BESSIOUD KARIMA , ARDJOUNI ABDELOUAHEB ,   Department of Mathematics and Informatics, University of Souk Ahras, Algeria, DJOUDI AHCENE ,   Department of Mathematics, University of Annaba, Algeria
Published: March 2024

In this work, we give suﬃcient conditions for the existence of periodic and positive periodic solutions for a nonlinear neutral mixed type Levin-Nohel integro-diﬀerential equation with variable delays by using Krasnoselskii’s ﬁxed point theorem. Also, we obtain the existence of a unique periodic solution of the posed equation by means of the contraction mapping principle. As an application, we give an example to illustrate our results. Previous results are extended and generalized.
Essential Approximate Pseudospectra of Multivalued Linear Relations
Authors:   Department of Mathematics, Faculty of Science, University of Sfax, JERIBI AREF , MAHFOUDHI KAMEL ,   Department of Mathematics, Faculty of Science, University of Sfax
Published: March 2024

One of the fundamental ideas investigated in A. Ammar, A. Jeribi and K. Mahfoudhi in [?] is that of providing conditions under which the essential approximate pseudospectrum of closed, densely deﬁned linear operators have a relationship with Fredholm theory and perturbation theory. In this paper the approximate pseudospectrum and the essential approximate pseudospectrum of closed, densely deﬁned multivalued linear relations are introduced and studied, and work done in the aforementioned papers are extended to general multivalued linear relations
Relation Between Convergence and Almost Convergence of Complex Uncertain Sequences
Authors:   Department of Mathematics, NIT Agartala, India, DAS BIROJIT , BHATTACHARYA BABY ,   Department of Mathematics, NIT Agartala, India, TRIPATHY BINOD CHANDRA ,   Department of Mathematics, Tripura University, India
Published: March 2024

In this paper, we introduce a new type of almost convergent complex uncertain sequence with respect to uniformly almost surely. We characterize the notion of almost convergence of sequences of complex uncertain variables further. We establish the interconnection between convergent complex uncertain sequence, bounded complex uncertain sequence and almost convergent complex uncertain sequence in all ﬁve aspects of uncertainty.
IMUNIZACIJA PROTIV HUMANOG PAPILOMA VIRUSA NA TERITORIJI GRADA BEOGRADA
Authors: Škorić Jasmina , Klačar Uzelac Marija , Kostić Ana
Published: March 2024

Uvod: Infekcija humanim papiloma virusima je jedna od najčešćih polno prenosivih infekcija.
U cilju prevencije bolesti izazvane HPV virusima u našoj zemlji, od juna 2022. godine, dostupna je devetovalentna HPV vakcina koja se daje kao preporučena vakcina deci od 9 do 19 godina.
Cilj: Ovim radom smo hteli da utvrdimo koliko je dece tj. adolescenata vakcinisano vakcinom protiv HPV virusa, da li među vakcinisanom decom postoji razlika u broju između polova na teritoriji opštine Beograd i koji je procenat dece koji je započeo vakcinaciju, a koji je kompletno vakcinisan na teritoriji opštine Čukarica.
Metod: U radu je kao izvor podataka korišćen periodični izveštaj referenta za imunizaciju Doma zdravlja „Dr Simo Milošević“.
Rezultati: U periodu od juna 2022. godine do novembra 2023. godine, bilo je ukupno 19.839 aplikovanih doza na beogradskim opštinama. Uglavnom, u većini domova zdravlja beležimo ubedljivo veći procenat devojčica koje su započele vakcinaciju, sa izuzetkom DZ Barajevo (50% vakcinisanih dečaka) i DZ Savski venac sa 36% vakcinisanih dečaka.
Zaključak: Za analizirani period od 18 meseci možemo zaključiti da je procenat od 7% koji beležimo na opštini Čukarica poražavajuće nizak. Isto tako 3% dece koja su primila drugu tj. treću dozu je takođe mali, jer u odnosu na 7% vakcinisanih prvom dozom stiče se utisak da skoro polovina nije kompletno vakcinisana.
ZNAČAJ PRECIZNE MEDICINE I FARMAKOGENOMIKE U PREVENTIVNOJ PEDIJATRIJI
Authors: Kavečan Ivana , Nikolić Nataša , Erdeš-Kavečan Đerđi , Redžek Mudrinić Tatjana , Obrenović Milan
Published: March 2024

Prevencija bolesti obuhvata sve aktivnosti koje se mogu sprovesti u cilju sprečavanja pojave i ispoljavanja manifestacija bolesti, kako bi se rano otkrila bolest i blagovremeno primenila odgovarajuća terapija.
Primenama strategija precizne medicine uzimaju se u obzir genetičke analize, faktori spoljašnje sredine kao i način na koji osoba živi, kako bi se precizno odabralo lečenje koje je najprikladnije i najefikasnije za tu osobu.
Precizna medicina otvara novo poglavlje zdravstvene zaštite, preventivne medicine i preventivne pedijatrije.
Precizna medicina uključuje i informacije dobijene genetičkim ispitivanjima – tzv. „OMIKAMA” (GEN-omika, TRANSKRIPT-omika, EPIGEN-omika, METABOL-omika, PROTE-omika, MIKROBI-omika), tj. tehnologijama i analizama podataka koje pružaju precizan klinički, biološki i molekularni fenotip.
Unapređenje životnog stila i izbegavanje štetnih faktora životne sredine može uticati na funkciju gena što se može iskoristiti u prevenciji i razvoju preciznih preventivnih zdravstvenih strategija.
ZNAČENJE EDUKACIJE ZA IMPLEMENTACIJU PRAVA DECE U ZDRAVSTVENOJ ZAŠTITI
Authors: Milošević Jasmina
Published: March 2024

Uvod: Implementacija prava dece u zdravstvenoj zaštiti u smislu pravilne primene u praksi predstavlja uvođenje novih standarda i potrebu za dodatnom edukacijom zdravstvenih profesionalaca, dece i njihovih roditelja.  
Cilj: Cilj ovog istraživačkog rada je ukazivanje na neophodnost svakodnevne primene dečijih prava u pedijatrijskoj praksi.
Metodologija: Uzorak je činilo 104 roditelja dece-pacijenata i 69 zdravstvenih radnika i saradnika koji rade sa decom pri KBC „Dr Dragiša Mišović-Dedinje“.
Rezultati: Rezultati istraživanja o informisanosti roditelja o pravima dece u sistemu zdravstvene zaštite ukazuju da veoma veliki procenat roditelja, čak 77,9%, nema adekvatnu informisanost o pravima dece u sistemu zdravstvene zaštite. Podaci o potrebi edukovanja dece i roditelja, pokazuju da 91,3%  roditelja smatra da je edukacija potrebna dok njih 3,8% ima mišljenje da takva vrsta edukacije nije potrebna. Može se uočiti da velika većina zdravstvenih radnika i saradnika, 78,3% nema adekvatna znanja o pravima dece pacijenata.
Zaključak: Naše istraživanje dečijih prava i pravnog položaja dece u sistemu zdravstvene zaštite u Republici Srbiji u ovom radu ukazuje na značaj i potreba za uvođenjem novih standarda, dodatnu edukaciju dece, njihovih roditelja i zdravstvenih radnika i saradnika.
AN OVERVIEW OF CURRENT VACCCINES FOR THE PROPHYLAXIS OF BACTERICAL INFECTIONS
Authors: Božić Dragana , Bufan Biljana
Published: March 2024

Antibacterial vaccines play a central role in modern medicine by providing an effective approach to combating infectious diseases caused by bacteria. The importance of these vaccines lies in their ability to stimulate the immune system to recognise and neutralise bacterial pathogens, or exotoxins produced by them, thereby preventing, or mitigating the severity of bacterial infections. The development and widespread use of antibacterial vaccines have contributed significantly to reducing the global burden of diseases such as pneumonia, meningitis, and sepsis.
Today, the global increase in vaccine-preventable diseases is a worrying trend that is closely linked to the emergence and advocacy of anti-vaccination policies. According to the latest World Health Organisation report, vaccination coverage in Serbia has declined over the past decade, jeopardising the collective immunity and led to recent outbreaks of vaccine-preventable diseases such as whooping cough and measles. Understanding the significance of antibacterial vaccines underscores their importance in promoting individual and community immunity, which ultimately leads to a healthier population and the prevention of antibiotic resistance.
This paper summarises the main characteristics of the different types of antibacterial vaccines, such as whole cell vaccines, subunit vaccines and toxoid vaccines, and provides an overview of the types of bacterial antigens contained in vaccines available for mandatory immunisation (vaccines against tuberculosis, diphtheria, tetanus, pertussis, Haemophilus influenzae and pneumoccus) or for non-mandatory immunisation (meningococcal vaccine, typhoid vaccine, cholera vaccine).
THE FISCAL POLICY OF GREECE AND ITS MACROECONOMIC PERFORMANCE WITHIN THE FRAMEWORK OF THE EUROPEAN ECONOMIC UNION
Authors: Antonopoulou Konstantina
Published: March 2024

This study aims to approach Greece's fiscal policy and its macroeconomic performance within the framework of the European Economic Union. In economics and political science fiscal and monetary policy are the basic tools used by the government and the central bank of a country respectively for the effective exercise of power, the promotion of economic goals, and the economic development of the country. The methodology followed was the review of international and domestic literature and the econometric analysis in the form of multiple linear regression between the GDP as a dependent variable and the remaining fundamental macroeconomic variables as independent variables for Greece for the period 1995-2022. The results can contribute to drawing useful conclusions about the effect of the main macroeconomic variables in particular inflation, unemployment, public debt, government expenditure, and total tax revenues on the Greek GDP.

 

JEL: Ε62; Η5; Η6; Ο11; Ο23

 

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EXPLORING MORAL AND ETHICAL PRINCIPLES THROUGH DRAMA: A STUDY OF IFEYINWA UZONDU'S WHICH WAY IS RIGHT?
Authors: Akaenyi Nkiruka Jacinta
Published: March 2024

This study delves into the exploration of moral and ethical principles through the dramatic lens, with a specific focus on Ifeyinwa Uzondu's play titled Which Way is Right? In contemporary society, the erosion of moral principles has become a pressing concern. The decline in ethical values, societal norms, and the erosion of moral boundaries have led to various social issues, impacting individuals, families, and communities. Literature, particularly drama, has often been a medium through which society reflects on its values and seeks to restore or reshape them. Ifeyinwa Uzondu's play, Which Way is Right?, explores themes related to moral dilemmas, societal norms, and the consequences of one's actions. The theoretical framework employed in this research draws from moral philosophy, ethical theories, and dramatic literature analysis. By examining the intricacies of Uzondu's play, the study aims to elucidate how drama serves as a powerful medium to engage with and interrogate moral and ethical dilemmas. The methodology involves a comprehensive textual analysis of Which Way is Right? to identify and dissect key moral and ethical themes. The findings illuminate the effectiveness of Uzondu's artistic choices in conveying complex moral dilemmas to the audience. In conclusion, this research makes a noteworthy contribution to knowledge by expanding our understanding of the moral dimensions of dramatic literature and the capacity of theatre to foster ethical awareness. It underscores the importance of engaging with art as a means of grappling with and understanding the intricacies of moral decision-making.
 

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THE PHILOSOPHY OF BAUDLER'S POETRY
Authors: Peruničić Andrea
Published: March 2024

This paper explores the poetics of Charles Baudelaire, one of the key figures of French symbolism, through the analysis of his poetic actions, themes, and influences. Baudelaire, known for his vision of a modern world shrouded in dark melancholy and despair, creates a poetic universe that transcends traditional aesthetic norms and lays the foundations of symbolist aesthetics. Through the analysis of Baudelaire's verses, we discover the complex relationship between beauty and evil, as well as the deep melancholy that permeates his poetry. Baudelaire's relationship to man and his view of human nothingness and conflict with the world are also explored, and thus we mark the inseparable connection between poetry and philosophy. Through the use of symbolic language and metaphors, Baudelaire creates poetic images that express existential anxiety and the inner struggle of man with himself. In addition, we analyze the role of poets in the development of Marxist aesthetics and political thought. Through it all, his poetry is a complex, deeply introspective, and universally relevant body of art, as summarized in the book Flowers of Evil, which continues to inspire and provoke readers around the world.
 

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DEVELOPING HUMAN RESOURCES OF ETHNIC MINORITIES IN MOUNTAINOUS AREAS OF VIETNAM FACING THE CHALLENGES OF THE 4.0 INDUSTRIAL REVOLUTION
Authors: Nguyen Tran Cao , Giap Le Van , Hanh Tran Thi
Published: March 2024

Developing human resources for ethnic minorities is essential to successfully carry out socio-economic development tasks for mountainous and ethnic minority areas. The development of modern technologies in the fourth industrial revolution has fragmented the labor market with increasing demands for the quality of the workforce if they need to be better equipped to acquire new skills - creative skills. Training human resources to meet the requirements of the 4.0 industrial revolution has become an urgent issue that many countries worldwide are concerned about, including the human resources of ethnic minorities. Therefore, developing human resources for ethnic minorities in mountainous areas of Vietnam is an urgent issue that requires feasible strategies and solutions to meet the requirements and challenges of the revolution industry 4.0.
 

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E-GOVERNANCE IN REVENUE COLLECTION AND CUSTOMS ADMINISTRATION IN SIERRA LEONE – A SURVEY
Authors: Akinyosoye-Gbonda Oludolapo O.
Published: March 2024

The willingness of taxpayers to comply with their obligations depends to a large extent upon the perception that the funds collected are put to good use. It also depends on how easy and convenient it is for the taxpayer to comply. Hence getting taxpayers to voluntarily pay their correct taxes at the right time is the dream of every government. The four key research objectives are: to find out whether the implementation of ICT will improve the performance of public enterprises; to investigate whether there is a link between the tax filing system and revenue collection; to determine the significance of tax compliance and performance of the National Revenue Authority (NRA) and to examine the relationship between tax administration and revenue collection. Data was collected through questionnaires from selected tax administrators and taxpayers in Freetown and two provincial locations, Bo and Makeni, using convenience sampling. Descriptive statistical analysis techniques were employed for data analysis. Findings from the study revealed that a vast majority of the respondents believe that the implementation of ICT results in better performance of public enterprises; and that there is a link between the tax filing system and revenue collection which allows refunds to be deposited directly into taxpayers' bank accounts; the level of tax compliance is significant to the performance of the National Revenue Authority; and adoption of ICT has positive impact on a country’s tax collection rate. The paper recommends that the Government of Sierra Leone should embark on public sensitisation on the benefits of the adoption and use of ICT infrastructure that aids easy tax administration and collection in the other rural regions of the country.
 

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MODEL OF CHEATING IN A ROMANTIC RELATIONSHIP
Authors: Gono Jr. Exequiel R.
Published: March 2024

This study aimed to investigate the likelihood of cheating in a romantic relationship using predictive modeling techniques. The researchers collected data from 500 respondents who completed the Hendrick and Hendrick's Theory of Love survey questionnaire. The results indicated that friendship love received the highest mean score, while possessive love received the lowest. Sex, religion, and education are significantly associated with cheating. The researchers utilized the age and types of love as predictors in an empirical analysis of cheating in a romantic relationship. The model demonstrated a good fit and accurately represented the data. Age and altruistic love were significant predictors of cheating, while passionate and friendship love reduced the likelihood of cheating. Altruistic love contributed the most to cheating among the types of love. The findings suggest that individuals who are older and have a stronger inclination towards altruistic love are more likely to cheat in a romantic relationship. Conversely, those with a greater degree of friendship and passionate love are less likely to engage in cheating. These results underscore the importance of understanding the different types of love in predicting infidelity in a romantic relationship.
 

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A Multilayer Data Security Using Matrix Transformation and RSA For Public Cloud Storage
Authors: Kamal
Published: March 2024

Cloud computing is an internet-based system that allows clients to access computers, software, infrastructure, devices, and other resources through a subscription model. Data security is a major concern for the cloud computing model. Data security is a research challenge in any cloud environment. When cloud users upload their confidential and secret data through the cloud, the security of this data must be ensured. In order to improve data security, a new method is presented in this paper. The approach uses ten random prime integers to compute the public and safe private keys after transforming user data into a matrix format. The encrypted content is then decrypted using the secured private key, improving total data security. The Hackman tool is used to analyse the encryption and decryption times as well as the security level. The OPNET tool measures the power of encryption and decryption. The findings indicate that all five potential file sizes for the proposed algorithm's parameters have the highest value. The cypher text was analysed using this suggested technique using brute force and dictionary attacks. This method is more effective, more secure, and impenetrable.
Improving Accuracy and Security of Identification by Multimodal Biometric Fusion: An Extensive Analysis
Authors: Mohammed Yahya Abdulsattar
Published: March 2024

In the modern world, trustworthy and secure identity is essential for a number of uses, such as unlocking personal gadgets and gaining access to secure areas. Conventional techniques, such as PINs and passwords, have shown to be vulnerable to fraud and illegal access. These vulnerabilities have been addressed by the development of biometric authentication, which makes use of an individual's distinct physiological and behavioral characteristics. Unimodal biometric systems concentrate on a single feature, although they frequently face difficulties like noise and spoofing assaults. By merging characteristics from several modalities, multimodal biometric systems provide an answer and improve identification robustness and accuracy. In order to increase identification security and accuracy, this article investigates the combination of hand geometry, palm print, fingerprint, and facial biometrics. Different integration situations and modes of operation for multimodal biometric systems are examined, as well as various fusion methodologies. In summary, the paper ends with implications for biometric systems practitioners, academics, and policymakers as well as a discussion of relevant research topics.
Developing Android-Based Mathematics Learning Media for Package C Equivalence Education at the Faradika Community Learning Center in East Jakarta
Authors:   State University of Jakarta, Indonesia, Yatimah Durotul , Sari Eliana ,   State University of Jakarta, Indonesia, Madhakomala Madhakomala ,   State University of Jakarta, Indonesia
Published: March 2024

The rapid development of Science and Technology has greatly influenced various aspects of the nation's life, including the field of Education. Relevant to the emergence of the fourth industrial revolution era, this research focuses on the utilization of mathematics learning applications in the Package C equivalent education based on Android at the Faradika Community Learning Center (PKBM) in East Jakarta. The advent of virtual reality technology has been able to create simulated classroom environments and conduct virtual learning based on Android. The aim of this research is to describe the process of Android-based virtual reality as a means of developing mathematics learning in the Package C Program. The research method is qualitative. Data collection techniques include interviews, reflective journals, observations, and document analysis. The output of this research is the model application and publication of articles in reputable national and international journals. The results of the research show the creation of Android-based equivalent education learning media in mathematics, which contains information about learning objectives, material presentation, assignments, and feedback provided by tutors and media developed with an Android basis that has been able to support the mathematics learning process optimally. The development of Android-based media consists of five stages: analysis, development, design, implementation, and evaluation. The evaluation technique is formative with expert review and field testing. Summative evaluation includes pre-experiment one-group pre-test and post-test. The conclusion of the research is that the results of the media development are able to support the learning process optimally, so that the learning process runs smoothly, and learners are also active, enthusiastic, and passionate about participating in the learning process.
The Effect of Hip Flexor Tightness on Muscle Activity during the Front Squat
Authors: Sarah C. Martinez-Sepanski  , Angie Bowman  , Ketlon Mehls
Published: March 2024

The purpose of this study was to compare peak and mean surface electromyography (sEMG) in the rectus femoris (RF), gluteus maximus (GM), biceps femoris (BF), semitendinosus (ST) muscles, and GM:BF muscle co-activation ratio during front squat between resistance trained females with and without hip flexor tightness. Peak and mean sEMG was recorded during three repetitions of 75% of one-repetition maximum (1RM) front squat of resistance trained females who either had hip flexor tightness (n = 9) or did not have hip flexor tightness (n = 7). Observed mean sEMG of the GM and BF was used to calculate GM:BF muscle co-activation. The result of the independent samples t-test indicated a statistically significant difference in peak RF (p = .013), peak (p = .001) and mean (p = .045) BF, and GM:BF muscle co-activation (p = .042) between those with and without hip flexor tightness during the ascending phase of a 75% 1RM front squat. The results indicate the RF and BF to be more active in resistance trained females with hip flexor tightness than those without hip flexor tightness during the front squat, potentially lowering GM activation relative to the BF. Fitness professionals should consider providing a hip flexor stretching interventions to prevent over activation of the BF when selecting the front squat as a resistance training exercise.
Comparison of Portable Smartphone-Based Auto-Refraction with Tabletop Auto-Refraction and Manual Retinoscopic Refraction Among Adolescents in A Tertiary Hospital in Enugu Nigeria
Authors:   Enugu State University of Science and Technology Teaching Hospital Parklane Enugu., Nigeria, ES Onah , CC Anajekwu ,   ESUT College of Medicine, Enugu, Nigeria, IR Ezegwui ,   UNTH, Enugu, Nigeria
Published: March 2024

Background: Uncorrected refractive error (URE) is the leading cause of preventable blindness and global vision impairment (VI) with relatively high prevalence among school aged adolescents and children. Timely detection and correction may prevent the development of amblyopia, strabismus and enhance school success in these age group. Aim: The aim of this study was to compare the refractive error measurements of Smartphone-based auto refraction with tabletop auto refraction and retinoscopy among adolescents attending eye clinic of Enugu State University of Science and Technology Teaching Hospital Parklane (ESUTTHP); Enugu, with a view to determining if portable Smartphone-based auto refraction can serve as a reliable alternative to tabletop auto refraction and Retinoscopy. Methods: This was a hospital-based comparative cross-sectional study done over ten month period on 292 adolescents (584 eyes) aged 13-19 years with refractive errors attending eye clinic of the Hospital. Patients were selected by simple random sampling after which non-cycloplegic and cycloplegic refractive measurements of their eyes were performed using the three study instruments (Smartphone-based autorefractor (SBAR), Tabletop autorefractor (TTAR) and Retinoscope). The mean spherical values (SV) and spherical equivalent values (SEV) were determined and compared using ANOVA. Data entry and analysis were done using SPSS version 23. Results: The mean age of the study participants was 16.6+0.76years, (age range 13-19years) comprising162 (55.5%) females and 130(44.5%) males; in the ratio of 1.3:1. Students constituted majority of the study participants 150 (51.4%). In non-cycloplegic state, 430 (73.6%) eyes were found to have refractive errors according to study definition (≥ 0.50 D); comprising 44 (7.5%) of myopia, 28 (4.8%) of hypermetropia, 264 (45.2%) of myopic astigmatism and 94 (16.1%) of hypermetropic astigmatism. But in cycloplegic state, 461(78.9%) eyes comprising 31(5.3%) of myopia,30 (5.1%) of hypermetropia, 320(54.8%) of myopic astigmatism and 80(13.7%) of hypermetropic astigmatism were found. The NETRA Smartphone-based auto refractor was found to measure refractive errors in adolescents as effectively as tabletop auto refractor both in non-cycloplegic and cycloplegic states but could not measure up to retinoscopy in both states.
Light Speed Derivation
Authors:   Director, Binary Mechanics Lab, USA, J Keene James
Published: March 2024

Physics literature presents equations in which a measured physical constant is expressed as one or more other measured physical constants. These expressions (1) show dependencies among so-called "fundamental" constants which are in fact unexplained observations and (2) are not derivations from first principles. That is, a true derivation from first principles cannot use any unexplained data as one or more "input" parameters. Adding to previous reports, a procedure to derive light speed with unidirectional measurements is described based only on the first principles of binary mechanics including the time-development laws and a physical interpretation of binary mechanical space [1-4].
Parents’ Perceptions on Parental Involvement in Their Children’s Education in Giyani Municipality Rural-based Schools, Limpopo Province, South Africa
Authors: Ngozwana Nomazulu , Machobane Amohelang , Chauke Thulani , Lepholletse Maphuthi
Published: March 2024

The importance of parental involvement in children’s education cannot be overemphasized. This study aimed to explore the role that parents play in the education of their children in the Giyani Municipality, Limpopo Province South Africa. The study followed Epstein's model of school-parent-community partnerships to understand the participation of parents in the education of their children. A qualitative approach was employed to guide the gathering and analysis of the data. Fifty-eight parents that were purposively selected from the four rural schools participated in the focus group discussions that were audio-recorded. Inductive qualitative thematic analysis was used, and the ethics were observed. The findings revealed the role of parental involvement in their children’s education as working with schools, home-schooling, modelling positive attitudes, emotional support, and career counselling. This study has implications for policy and practice in a parent-teacher relationship in rural schools by suggesting that parents should be involved in policy development such as when the curriculum changes.
Transforming Rural Teaching
Authors: Mazzuki Blandina Daniel , Chiwamba Sarah Vicent
Published: March 2024

This qualitative study examines preparation of pre-service teachers for altering rural teaching through transformative curriculum and pedagogy. The study gathered the perspectives of 45 participants belonging to two universities in Tanzania, namely University of Dar es Salaam (Dar es Salaam University College of Education) and Sokoine University of Agriculture School of Education. The findings indicate that geographically isolated rural schools are associated with deficits resulting in poor quality of teaching and learning. Further, the findings establish that teacher educators and pre-service teachers are not open to transforming rural teaching. This has implications for the effectiveness of university teacher education provided. To develop pre-service teachers’ openness to transforming rural teaching, there is a need for transformative curriculum and pedagogy in teacher education. A transformative curriculum should include diverse knowledge of teaching contexts and be implemented through critical dialogue and reflective pedagogy.
Smart Agri Bot for Multi-Crop Harvesting
Authors: Dr.D.R.P. Rajarathnam  , R. Krishva  , R. Dhivakaran  , S. Parthiban
Published: March 2024

The integration of automation and robots into modern agriculture is crucial for improving output and efficiency. A recent development in this field is the creation of a color-sensing robot specifically designed for agricultural purposes. This robot utilizes advanced color detection technology to accurately identify objects and exert control over them based on their color characteristics. The primary goal of this research is to find solutions for labor-intensive agricultural tasks, particularly fruit and vegetable harvesting. By combining robotics and computer vision technology, this robot aims to streamline these processes. Automation plays a significant role in reducing human effort in routine and frequently performed tasks. In the case of agriculture, color-sensing robots have been employed to pluck fruits and vegetables. The robot's mobile application is controlled through a Bluetooth Module, sending instructions to the microcontroller, and then to the motor. The robot's architecture is also programmed with Arduino, an open-source programming language that is a simplified version of other languages. These robots have the potential to reduce damage, increase productivity, and prove cost- effective, while also freeing up labor resources. In addition to object recognition, the robot's navigational capabilities have been enhanced with the integration of an ultrasonic sensor. This sensor emits high-frequency sound waves and analyzes the echoes to accurately estimate distances to nearby objects. This information is crucial for the robot to identify obstacles in its path, ensuring safe and effective navigation
Annexation of Crowdsourcing Technique to Aid the Research Pedagogy
Authors: Kumudavalli M V  , Nagasindhu N P  , Lekhashree
Published: March 2024

The synergistic integration of crowdsourcing into teaching-learning pedagogy is explored in this extensive trialing, which presents a coherent story derived from several dimensions, including mass engagement, collaborative pedagogy approaches, and an experimental project evaluating pedagogical impact on preschool-aged children. The research article explains how crowdsourcing may be revolutionary, highlighting its benefits for information collecting, problem solving, and project execution. Moving from traditional teacher-centric to Student – centered approaches, smoothly transitioning into the field of teaching and learning pedagogy. The study covers the constructivist, collaborative, integrative, reflective, and inquiry-based learning pedagogies. It emphasizes how important pedagogy is in encouraging collaborative learning settings, removing monotony, and accommodating various learning preferences. An experimental project aimed at evaluating the effects of teaching-learning pedagogy on young children in preschool. College students mediated contacts between high school students and non-digitalized preschoolers by using human networks as mediators. The approach demonstrates the viability and effectiveness of crowdsourcing for research in education while emphasizing the need for cautious execution, middleman training, and quality assurance.
Analysis of the Effect of Green Banking, Corporate Social Responsibility, Ultimate Ownership on Bank Performance with Good Corporate Governance as a Moderating Variable
Authors: Allie Riviera , Sudibijo Yvonne Augustine
Published: March 2024

The purpose of this study was to determine the relationship between green banking, corporate social responsibility, ultimate ownership of bank performance with good corporate governance as a moderating variable. This research is quantitative research with panel data regression analysis techniques. The data used in this study are 17 commercial banks in Indonesia from 2020-2022. This study proves that the four hypotheses built show a positive and significant relationship. Green banking, corporate social responsibility, ultimate ownership have a positive and significant effect on bank performance. Then good corporate governance is also proven to be an amplifier of the relationship between green banking and bank performance. This study found a relationship between green banking and bank performance through indicators of the ability to earn net profit. This study uses data from 17 banks that have sustainability development reports in the 2020-2022 timeframe. This study also analyzes the role of good corporate governance in moderating the relationship between green banking and bank performance.