bluuebunny/crossref_metadata_2025 huggingface dataset:
Interpersonal Relations and Non-Academic Achievement among University Upgrading (Grade V) Teacher Students
Authors: Amongin Helen , Baguma Peter , Oonyu Joseph , Lassen Emeritus
Published: April 2024

Purpose: Given the challenges faced by distance and life-long education students engaging in non-academic activities, combined with the common assumption that adults are good at interpersonal relations, this study explores the relationship between interpersonal relations (IR) and non–academic achievement (NAA) in Ugandan universities.

Methodology: This was a qualitative study. Data included a population of teacher students from Makerere University and Uganda Christian University, Mukono and a sample of 75 upgrading Grade V teacher students from Makerere University and Uganda Christian University, Mukono, obtained through purposive sampling technique, The Researcher formulated (vetted by 07 Professors and pilot tested) Group interviews, an observation schedule for the students’ sample, and in-depth interviews for Lecturers were used to collect data.  

Findings: Data was presented using tables, graphs and figures. Results showed that positive interpersonal relations were very critical in non-academic activities and thus positively influenced achievement among university upgrading (Grade V) teacher students. Data analysed using NVIVO showed that interpersonal relations were very important in terms of team spirit, group work, field activities and collegial relations. In conclusion, strengthening interpersonal relations is very important in the 21st century with research stressing collaborative approaches. The practical non-academic activities not only refresh the body but enhance positive interactions that are useful in the NAA for common purpose and goals in life.

Unique Contribution to Theory, Practice and Policy: As a contribution to policy and practice, the study suggests that teachers need to have an all-round curriculum for training interpersonal relations for better non-academic achievement. Knowledge of negative and positive perceptions of interpersonal relations is critical for learning, training, field activities and research. Ministry of Education and Sports thus, needs to be intentional in including aspects of interpersonal relations and non-academic achievement at higher educational institutions and universities. Interpersonal relations and self-determinism theories need to be made more relevant in universities.
Estrategias de seguridad ciudadana para la disminución de la violencia de género
Authors: Brito Omaña Jhon Pat
Published: April 2024

El presente artículo constituye una incitación intelectual latente como investigador, tiene como propósito: Implementar un plan estratégico de seguridad ciudadana para la disminución de la violencia de género en el sector “La Lagunita” de San Juan de los Morros, Edo. Guárico. La siguiente investigación se desarrolla bajo el paradigma Postpositivista, y un enfoque Socio-crítico, con el método (IAP). El fin último de la Investigación Acción Participativa (IAP), es conseguir que la comunidad se convierta en el principal agente de cambio para lograr la transformación de su realidad. Se utilizaron las técnicas de observación participante, y entrevista grupal. El diseño es abierto, flexible y emergente. Este constructo se subscribe a la segunda Línea Matriz de las Líneas Investigación de la UNES; que lleva por nombre: Convivencia Ciudadana Cultura de Paz y Prevención del Delito: “Esta línea apunta a estudiar los retos para la construcción de contextos nacionales, regionales y locales de mayor cohesión social como condición esencial para garantizar la seguridad ciudadana”. Igualmente, en una de sus Líneas Potencias: b) Expresiones de la violencia que atentan contra la convivencia solidaria. De tal manera que la participación ciudadana, se aprecia en las tareas de ciudadanía con la comunidad y de las instituciones involucradas a efectos de dar respuestas a lo diagnosticado de forma conjunta, a modo de generar herramientas para la toma de decisiones. Por consiguiente, el principal camino para minimizar la violencia de género es la prevención. Esto incluye, por supuesto, un cambio global en la forma de ver las relaciones entre mujeres y hombres, un cuestionamiento de los roles sociales y estereotipos, del lenguaje, entre otros. Estos cambios deben partir de las personas adultas con el objetivo de que se transmitan eficazmente a niños, niñas y adolescentes
Self-Management Therapy and Creative Problem-Solving Technique on Smartphone Addiction among Public Colleges of Education Students in Oyo State, Nigeria
Authors: ASIYANBI Mutiat Sola , ANIMASAHUN Rotimi Adebayo
Published: April 2024

As smartphone usage rises worldwide, concerns about the detrimental impacts of smartphone addiction, particularly among college students, have grown. However, the extent to which smartphone addiction has affected College of Education students in recent years is disturbing. The magnitude of smartphone addiction does not promise well for the future, individual mental health, or the overall well-being of college students. Based on this premise, this study investigated how self-management therapy and creative problem-solving techniques affected smartphone addiction among Oyo State College of Education students. A pretest-posttest, control group quasi-experimental design with a 3x2x3 factorial matrix was used in the study. The samples included 90 students from three public colleges of education in Oyo State, Nigeria. Participants were assigned to three groups: Self-Management Therapy (SMT), Creative Problem Solving Technique (CPST), and control). The administration of treatments lasted for eight weeks for the experimental groups. Seven hypotheses were tested at 0.0experimental groups received treatments for eight weeks. At the 0.05 level of significance. Data were analysed using Analysis of Covariance. There was a significant main effect of treatments on smartphone addiction among college of education students in Oyo State (F (2, 70) = 29.47, p < .05, 𝜂2= .459). Participants exposed to SMT (𝑥̅= 28.81) had the lowest smartphone addiction mean score, while the CPST group (𝑥̅= 49.89) and control group (𝑥̅= 53.78). Self-management therapy and creative problem-solving techniques were effective in reducing smartphone addiction, but self-management therapy was more effective. It is so proposed that the two therapies be integrated into the public college of education counselling sessions and indoctrination to lower the likelihood of smartphone addiction.
Perceptions and Beliefs Towards Mental Health and Mental Illness: A Qualitative Study among University Students in Malaysia
Authors: Soo Yue Yin , Wong Yuet Yen , Ong Siew Chin , Ooi Guat See
Published: April 2024

Introduction: University students’ perspectives on mental health issues remain scarce despite the growing prevalence of mental illness among this population. Therefore, this study aimed to explore university students’ perceptions and beliefs about mental health and mental illness. Methods: Virtual in-depth interviews were conducted from December 2021 to March 2022. All interviews were audio-recorded, transcribed verbatim and analysed using thematic analysis. Results: Sixteen informants from a Malaysian university were interviewed. Four major themes emerged: (1) understanding of mental health and mental illness; (2) perceived causes of mental illness; (3) attitudes towards mental illness; (4) strategies to maintain good mental health. Most informants related mental health to an individual’s thoughts, emotions and behaviours, while a minority equated ‘mental health’ with ‘mental illness’. The majority of informants cited socio-environmental factors as the primary cause of mental illness. Unexpectedly, informants did not view religious factors as a cause of mental illness, although it was thought to be deeply rooted in the older generation. Nearly all informants expressed positive attitudes and willingness to help people with mental illness. However, some informants decided to cover up their mental health problems to avoid the likelihood of experiencing negative emotions. Most informants believed that living a fulfilling and balanced life, staying optimistic and being religious could help them to maintain good mental health. Conclusion: To mitigate the deterioration of students’ mental health, it is necessary to understand their perceptions and beliefs about mental health and mental illness as these may influence their help-seeking behaviours. The study findings showed that university students have a basic understanding of mental health and mental illness and most of them are supportive in handling people with mental illness.
Working Hours and Personal Protective Equipment Effect on Blood Cholinesterase Levels of Tobacco Plantation Workers
Authors: Ningrum Prehatin Trirahayu , Nurika Globila , Al Mamun Abdullah , Ellyke  , Ma’rufi Isa , Sri Pujiati Rahayu , Moelyaningrum Anita Dewi , Hartanti Ragil Ismi , Indrayani Reny , Akbar Kurnia Ardiansyah , Wikurendra Edza Aria
Published: April 2024

Introduction: Tobacco production is increasing in certain regions of Indonesia due to its high economic value. Tobacco and its products can have harmful effects on the health of consumers, producers and processing workers. Analysis of blood samples has shown that tobacco farmers are at risk of developing occupational diseases related to pesticide exposure and nicotine absorption through the epidermis of wet tobacco leaves. The aim of this study was to compare blood cholinesterase levels in tobacco plantation workers in relation to their working hours and use of personal protective equipment (PPE). Methods: This cross-sectional observational study was conducted in ten subdistricts in Jember district, Indonesia, and included 50 participants selected using proportional sampling. Spearman’s test was used to analyse the relationship between variables. Results: The significance value of the relationship based on Spearman’s test between working hours and blood cholinesterase levels of tobacco farmers in Jember was 0.058 > α (0.05). Meanwhile, the significance value of the relationship between working hours and complete blood count, specifically mean corpuscular haemoglobin concentration (MCHC), was 0.00 < α (0.05), and between PPE use and blood cholinesterase levels was 0.035 < α (0.05). Conclusion: Working hours were not associated with blood cholinesterase levels, but were associated with blood MCHC levels. Meanwhile, the use of PPE was found to be associated with cholinesterase levels in tobacco farmers.
Identification of MicroRNAs Binding Site in the 3’Untranslated Region of Long Non-Coding RNA, MIR497HG: A Bioinformatic Prediction
Authors: Shamsuddin Nursyamila , Mohd Hatta Fazleen Haslinda , Hazizul Hasan Mizaton , Ahmad Noorden Mohd Shihabuddin
Published: April 2024

Introduction: Prediction and identification of miRNAs target genes are crucial for understanding the biology of miRNAs. Amidst reported long-coding RNA (lncRNA), the microRNA 195-497 cluster host gene (MIR497HG) regulation is mediated by multiple non-coding RNAs (ncRNAs) such as microRNAs (miRNAs). MIR497HG has been implicated as a tumour suppressor in various cancers. However, the impact of MIR497HG and its derived miRNAs is largely unknown and still needs to be further explored. Employing an experimental approach is often challenging since some lncRNAs are difficult to identify and isolate by the current isolation technique. Thus, bioinformatic tools are introduced to aid these problems. This study sought to search and identify the miRNAs targeting the 3’untranslated region (3’UTR) of MIR497HG. Methods: Here, bioinformatic tools were adopted to identify a unique list of miRNAs that potentially target the 3’UTR of MIR497HG. Results: A total of 57 candidate miRNAs that target the 3’UTR of MIR497HG were extracted using the miRDB. Meanwhile, STarMir predicted 291 miRNAs that potentially target the 3’UTR of MIR497HG. A common list of 36 miRNAs was obtained using the Venny 2.1.0 and further narrowed down using the LogitProb score of StarMir. Finally, a total 4 miRNAs (hsa-miR-3182, hsa-miR-7156-5p, hsa-miR-452-3p and hsa-miR-2117) were identified. The mRNA target of identified miRNAs was identified by TargetScan. Finally, Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of mRNA target was done using Enrichr. Conclusion: This finding could be useful in understanding the complex interaction between MIR497HG and its regulatory miRNA. In addition, a comparative analysis of computational miRNA-target predictions is provided in this study would potentially lay the foundations for miRNAs to be used for biomarkers in cancer research.
Prevalence and Factors Associated with Shoulder Complex Function (SCF) Among the Elderly in Private Physiotherapy Clinic in Klang Valley, Malaysia
Authors: Nina Lim Siang Yin , Kadir @ Shahar Hayati , Asmuri Siti Noraini
Published: April 2024

Introduction: Shoulder problems have been a challenge among the aging population. Although reports surfaced on factors affecting shoulder dysfunction, however, such studies in relation to other factors like neck pain (NP) factor are limited especially among the elderly in the urban population. This study investigated the prevalence and factors associated with shoulder complex dysfunction among the outpatient elderly attending private physiotherapy clinics. Methods: A total of 75 elderly aged ≥ 60 years old from four private physiotherapy clinics were recruited by simple random sampling method. The elderly were evaluated using the QuickDASH questionnaire to assess shoulder complex dysfunctions and NP scale. Results: A total of 92% of participants have shoulder complex dysfunction. A positive correlation of NP to shoulder complex dysfunction ( r (75) = 0.83, p<.001) with significant associations of sex ( z= -2.549, p=0.011), smoking ( z= -2.388, p=0.017), lifestyle ( z= -5.780, p=0.000), hypertension ( z= -2.808, p=0.005), osteoarthritis ( z= -2.966, p=0.003), and NP scale ( z= -2.173, p=0.031). The predicting factor of shoulder complex dysfunction is sex (β = 0.156, t (74) = 2.240, p= 0.028) and NP scale (β = 0.704, t (74) = 7.853, p= 0.000). Conclusion: There is a high prevalence of shoulder complex dysfunction among the outpatient elderly attending private physiotherapy clinics with a predicting associating factor of sex and NP.
Improving the Waiting Time in Outpatient Clinics Using Lean Approach in Hospital: A Systematic Review
Authors: Albalawi Majed , Mahmud Aidalina , Abdul Manaf Rosliza , Mohd Nazan Ahmad Iqmer Nashriq , Aljohani Ahmad , Mohamad Aslah
Published: April 2024

Introduction: The use of the lean approach in healthcare has rapidly gained popularity globally, although this approach was more routinely used in the manufacturing sector as opposed to health. Besides, recent studies confirm the suitability of the lean approach applications for improving the quality of medical care. This study aimed to determine the Lean approach’s capacity to improve the waiting time in outpatient clinics in hospitals. Methods: The systematic review approach was employed to help in the research procedures. Search databases used included Ovid, Google scholar, PubMed, MEDLINE, and archive. Besides, search terminologies such as the Lean approach, Hospital-implementation, waiting time, and patient flow were used to help identify sources that best suited the investigation process. Results: The review revealed that the lean approach is suitable for the reduction of waiting times as well as for improving efficiency in the clinic. The outcomes provide a basis for reducing the average waiting time within the hospital. Conclusion: This study recommended that healthcare facilities and departments should take a keen interest in implementing the Lean approaches, as they are crucial for reducing waiting time.
Obstacles and Facilitators in Daily Living Activities Among Persons with Spinal Cord Injury: A Systemic Review
Authors: Khanzada Faizan Jameel , Masuri Mohammad Ghazali , Mohd Poot Erna Faryza , Abdul Rahim Mohd Zulkifli , Che Daud Ahmad Zamir
Published: April 2024

Introduction: This systematic review aimed to investigate the level of participation, obstacles, and facilitator factors that influence activities of daily living among persons with spinal cord injury (SCI). Methods: A comprehensive search was conducted in four online databases, namely Google Scholar, PubMed, OT Seeker, and Cochrane Library covering the ten-years period from January 2012 to December 2022. Inclusion criteria encompassed original published studies in English focusing on daily activities, work, participation, obstacles, and facilitators in persons with SCI. Non-peer review sources (e.g., abstracts, grey literature, preprints), and studies unrelated to occupational therapy were excluded. The selected studies were assessed for quality using McMaster University Occupational Therapy Evidence-Based Practice critical review form. Results: Out of the 678 articles identified, ten studies were included after the screening, exploring participation in daily living activities, employment, return to work, leisure activities, family tasks, and community mobility among persons with SCI. Obstacles and facilitators influencing participation in activities of daily living were classified using the International Classification of Functioning, Disability, and Health (ICF) framework. This review highlighted that long-term participation is challenging for persons with SCI, affected by obstacles such as body functions, pain, low self-esteem, and environmental and social factors. Conclusion: The findings underscore the importance of adopting a multidisciplinary rehabilitation approach to enhance participation in daily activities for persons with SCI. Occupational therapy plays a significant role in improving participation levels among persons with SCI.
The Global Research Trends on Food Waste At Healthcare Setting: A Bibliometric Analysis Using Scopus Database
Authors: Samiun Nurul Alia Aqilah , Razalli Nurul Huda , Shahar Suzana , Abdul Manaf Zahara , Kefeli Zurina , Md Khudzari Jauharah , Jamhuri Norshariza
Published: April 2024

The issue of food waste has garnered much attention globally due to its adverse impacts on the economy, food security, natural resources, the environment, and human health. Despite this, the academic literature lacks systematic, historical, and synthesising investigations on healthcare food waste. This bibliometrics analysis study aims to summarise the growing trends of food waste publications and highlight common and potential research topics of food waste in healthcare settings. The Scopus database analysed 193 journal articles published between 1952 and 2022. We identified several common and potential research topics for future research in the area, including food waste and malnutrition, related intervention strategies, the impact of healthcare food service systems on food waste, and their economic and environmental impact. Healthcare food waste research in developing nations is still limited. Thus, it is recommended that policymakers support its development as one of the steps to encounter food waste.
Survival Analysis and Prognostic Factors for Peri-ocular Malignancies in Malaysia
Authors: Sivaratnam Dhashani , Othman Radzlian , Devaraj Navin Kumar , Yap Ming Teck , Vincent Ng Teng Fung , Chen Ew Shao , Md Rozi Ramizah , Baharudin Nur Najlaa , Kanasan Kirbashini , Yusof Khan Abdul Hanif Khan , Ramachandran Vasudevan , Ching Siew Moi
Published: April 2024

Introduction: This study aims to determine the prognostic factors and survival outcomes of patients that underwent this surgery. Method: A retrospective review of 43 patients who underwent exenteration for periocular malignancies over a 14-year period was carried out. Patient demographics, tumour histology, treatment details, surgical margins’ status and post-operative survival were recorded. The survival outcome examined was the overall survival (OS) rate. Cox regression and Kaplan-Meier analysis were used to evaluate post-exenteration survival. Results: In total, 20 females and 23 males with a median age of 62 ± 17.3 years were identified. The most common indication for exenteration was basal cell carcinoma (20.9%), followed by squamous cell carcinoma (18.6%), adenocystic carcinoma (14%), malignant melanoma (14%) and sebaceous gland carcinoma (11.6%). The independent predictors for worse OS on multivariate analysis were Chinese ethnicity (adjusted hazard ratio [aHR] 4.95, p =0.017), sebaceous gland carcinoma (aHR 57.61 p=0.006), adenocystic carcinoma (aHR 45.87, p=0.008), clear surgical margins (aHR 5.41, p=0.025), receiving only chemotherapy (aHR 169.13, p=0.004), and receiving both adjuvant chemotherapy and radiotherapy (aHR 41.51, p=0.010). Conclusion: We recommend targeted public health initiatives for Chinese patients due to their increased mortality risk from peri-ocular malignancies. In addition, we advise comprehensive adjuvant therapy for all patients regardless of whether a clear surgical margin is achieved. Basal cell carcinoma and adenocystic carcinoma may also benefit from genetic research. We advocate more training for ophthalmologists to identify periocular malignancies earlier for better treatment options and increased chances of survival.
Domain Knowledge-Driven Relation Extraction Methods
Authors: Chen Boxuan , Yuan Guan
Published: April 2024

Relation classification is one of the important tasks in natural language processing, which aims to determine the relationship between entities given a sentence and their respective positions. Most of the existing methods for relation classification are based on neural networks using pre-trained models such as BERT. In recent years, models based on pre-trained models like BERT have achieved excellent results in relation classification tasks in general domains. However, these methods often struggle when applied to specialized domains due to the limitations of the corpora used for BERT pre-training. Most pre-trained models are trained on text corpora from general sources like Wikipedia, which cover a wide range of domains. As a result, the content of these corpora in specific domains is limited and lacks the necessary expertise, leading to subpar performance of relation classification models in specific domains. While providing a large number of domain-specific corpora to pre-trained models could potentially address this issue, it comes with limitations such as increased computational requirements and insufficient training of specialized vocabulary. This paper proposes a method inspired by the K-BERT pre-training model to incorporate triplet knowledge from domain knowledge graphs into sentence sequences. The triplets are transformed into sentence trees and then fed into the BERT pre-trained model using absolute and relative indices. Our model has achieved an accuracy of 93.06%, which is markedly higher than that of any other baseline approach. This approach allows the incorporation of domain knowledge without significantly increasing the computational complexity. Additionally, the paper introduces a partial input method that enables the computer to understand input sentences from multiple dimensions and hierarchical levels. Experimental results on a medical domain dataset for relation classification, which includes type labels, demonstrate significant advantages over other relation classification models in terms of Accuracy.
 
Received: 24 January 2024 | Revised: 19 March 2024 | Accepted: 3 April 2024
 
Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.
 
Data Availability Statement
The data that support the findings of this study are openly available in [Github] at https://github.com/Soso6666/Classification-data.
 
Author Contribution Statement
Boxuan Chen: Methodology, Software, Validation, Resources, Data curation, Writing - original draft, Visualization. Guan Yuan: Conceptualization, Methodology, Formal analysis, Investigation, Resources, Data curation, Writing - review & editing, Supervision, Project administration.
Enhanced security in federated learning by integrating homomorphic encryption for privacy-protected, collaborative model training
Authors: Rao Ganga Rama Koteswara , Ghanimi Hayder M. A. , Ramachandran V. , Al-Qahtani Dokhyl , Dadheech Pankaj , Sengan Sudhakar
Published: April 2024

A significant novel approach in distributed ML, Federated Learning (FL), enables multiple parties to work simultaneously on developing models while securing the confidentiality of their unique datasets. There are issues regarding privacy with FL, particularly for models that are being trained, because private information can be accessed from shared gradients or updates to the model. This investigation proposes SecureHE-Fed, a novel system that improves FL’s defense against attacks on privacy through the use of Homomorphic Encryption (HE) and Zero-Knowledge Proofs (ZKP). Before data from clients becomes involved in the learning procedure, SecureHE-Fed encrypts it. The following lets us determine encrypted messages without revealing the data as it is. As an additional security test, ZKP is employed to verify if modifications to models are valid without sharing the true nature of the information. By evaluating SecureHE-Fed with different FL techniques, researchers demonstrate that it enhances confidentiality while maintaining the precision of the model. The results of this work obtained validate SecureHE-Fed as a secure and scalable FL approach, and we recommend its use in applications where user confidentiality is essential.
Robust and energy-efficient authentication protocols for medical sensor networks
Authors: Mane Dhiraj Kumar , Hundekari Sheela , Durgawale Prakash M. , Khodaskar Manish , Lule Aditi , Kulkarni Shailesh
Published: April 2024

The growing incorporation of medical sensor networks into healthcare systems has emphasized the crucial requirement for secure and energy-efficient authentication protocols. The purpose of this study is to present a new method called Sidechain-based Trusted Platform Module (s-TPM) authentication, which aims to overcome the inherent difficulties in ensuring the security of medical sensor networks. This study performs a thorough comparison of s-TPM with two well-established authentication protocols, LEAP and TinySec, across multiple evaluation parameters, such as security, energy efficiency, and performance. The s-TPM authentication method utilizes sidechain technology to strengthen the resilience of authentication procedures in medical sensor networks. s-TPM utilizes a decentralized and tamper-proof system to reduce security weaknesses, offering a robust protection against unauthorized entry and data breaches. The results indicate that s-TPM surpasses LEAP and TinySec in terms of security resilience, guaranteeing a dependable protection against diverse cyber threats. Moreover, s-TPM demonstrates exceptional energy efficiency, which enhances the longevity of medical sensor devices’ operation while upholding a high standard of security. The results emphasize the importance of utilizing innovative methods, like s-TPM, to create authentication protocols that are specifically designed for the distinct difficulties encountered in medical settings.
A scheme for encrypted image data compression
Authors: Thakur Nileshsingh V. , Deshmukh Kalyani , Shah Saurabh A. , Semwal Vijay Bhaskar
Published: April 2024

A hybrid approach of image encryption and compression can give highly secured and compressed image data which can be easily transmitted through unsecured and bandwidth constrained channels. This paper proposes a mechanism which handles image encryption prior to image compression. The work is basically divided into two parts. The first part focuses on image encryption approach in which Roman numeral logic and pixel scrambling logic is applied to image data. The second part focuses on compression of encrypted image data using Huffman’s encoding. The proposed approach is lightweight, easy to understand and implement. Results are obtained using standard dataset and it is observed that 16%-18% compression is obtained after encryption.
Secure and scalable data aggregation techniques for healthcare monitoring in WSN
Authors: Alate Mahendra , Godase Uma R. , Kumbhar Uddhav T. , Hundekari Sheela , Deshmukh Araddhana Arvind , Kumar Anil
Published: April 2024

Wireless Sensor Networks (WSN) are crucial in the healthcare field as they allow for the immediate monitoring and collection of data from medical sensors. The growing incorporation of WSN in healthcare requires the creation of authentication protocols that are both strong and energy-efficient. This study presents Lightweight Authentication Protocol for Cloud-based Health-care Systems (LAPCHS) using BLAKE2 designed specifically for WSN in medical settings for secure and scalable data aggregation. The proposed method tackles the difficulties presented by limited resources in sensor nodes, with the goal of achieving a careful equilibrium between strong security and effective energy usage. LAPCHS utilizes innovative techniques to improve the energy efficiency in WSN. The system employs the BLAKE2 cryptographic hash algorithm to establish robust mutual authentication and key agreement between the tag and the cloud server. The protocol is characterized by its low weight and high efficiency, rendering it appropriate for deployment in medical sensor networks with limited resources, which minimizes the need for global key distribution and decreases communication overhead. The proposed method is useful to meet the distinct needs of medical sensor networks, where energy preservation is of utmost importance to ensure extended device scalability.  The findings demonstrate that LAPCHS surpasses current approaches in terms of energy efficiency and latency, while simultaneously upholding a robust level of security. The protocol’s novel strategy for managing encryption keys and selecting cryptographic algorithms makes it a promising solution for securing medical sensor networks while maintaining energy sustainability. This study makes a valuable contribution to the developing field of WSN security by proposing a practical solution for ensuring strong and energy-efficient authentication in healthcare applications.
CR-IBE based data sharing and revocation in the cloud
Authors: Reddy P. Raja Sekhar , Ravindranath K.
Published: April 2024

Storing information on the cloud lets users access data quickly. Owners send their files to cloud servers to save money and use helpful tools. Keeping shared data online beyond direct control worries more people about privacy and security. Issues with sharing data in the cloud are a major concern. Several methods can protect user privacy and securely share group information. This paper introduces a secure dynamic way for groups to share and take away access to data using identity-based encryption that can change (R-IBE). A new cloud-based method for sharing data with revocable identity-based encryption (CR-IBE) is suggested. It allows stopping user access. The proposed method is compared to existing attribute-based encryption schemes for how long they take to run and decode. Tests show the proposed method provides better protection and privacy.
Implementing end-to-end encryption strategist for strengthening data security across network communication
Authors: Balpande Vijaya Parag , Aher Ujjwala Bal , Borkar Pradnya , Bhanarkar Parul , Chavan Gurunath T. , Sairise Raju M.
Published: April 2024

In order to improve data security in network communication, this project suggests using End-to-End Encryption (E2EE). E2EE protects against unwanted access by guaranteeing that private information is kept secret for the duration of its travel. In order to mitigate potential vulnerabilities at intermediate points, cryptographic procedures are implemented to safeguard data from the point of origin to its final destination. The method makes use of strong encryption algorithms and key management procedures in order to strengthen the confidentiality and integrity of data that is transferred. This method tackles the growing worries about data breaches, privacy violations, and cyberthreats. By emphasizing E2EE, communication networks’ security posture is strengthened and user and stakeholder trust is increased. By implementing this proactive security solution, organizations may protect sensitive data, comply with changing regulatory requirements, and provide a strong basis for safe data sharing in the digital sphere.
Modified elliptic curve cryptography for efficient data protection in wireless sensor network
Authors: Limkar Suresh , Singh Sanjeev , Ashok Wankhede Vishal , Wadne Vinod , Phursule Rajesh , Ajani Samir N.
Published: April 2024

Wireless Sensor Networks (WSN) have a crucial function in gathering and transmitting data in different applications, making data protection a top priority. Elliptic Curve Cryptography (ECC) is known for its strong security features, but it requires substantial computational resources in resource-limited WSN environments. To tackle this challenge, this study presents a new alteration to ECC by employing a Point Compression Algorithm, specifically utilizing the Modified Jacobian coordinates. This study assesses the effectiveness of the proposed Modified ECC (MECC) by analyzing key performance metrics such as efficiency, scalability, and communication overhead. These metrics are crucial for ensuring the successful implementation of data protection in WSN. The analysis provides a thorough examination of performance, specifically highlighting encryption time, decryption time, key generation time, and key size. It offers a comprehensive comparison with the conventional ECC approach. The results demonstrate that the MECC, incorporating the Point Compression Algorithm in Modified Jacobian coordinates, presents a favorable approach for improving data security in WSN. The enhanced efficacy, diminished communication burden, and expandability of the suggested methodology are apparent, showcasing its capability to safeguard data transmission while conserving valuable network resources. This research aims to enhance the security of WSN making them more robust and flexible in meeting the changing demands of modern data protection needs.
Exploring elliptic geometry in neural networks : The concept of elliptic neural networks (ENN)
Authors: Verma Vivek Kumar , Saini Bhavna , Yadav Anju , Dadheech Pankaj
Published: April 2024

The exploration of non-Euclidean geometries in the context of neural network architectures presents a novel avenue for enhancing the processing of complex data structures. This paper introduces the concept of Elliptic Neural Networks (ENN), a framework that integrates the intrinsic properties of elliptic geometry into the fabric of neural computation. Characterized by constant positive curvature and closed geodesic paths, elliptic geometry provides a unique perspective for representing data, especially advantageous for configurations exhibiting cyclic and dense hierarchical interconnections. We begin by delineating the fundamental aspects of elliptic geometry, focusing on its impact on conventional notions of distance and global structural interpretation within data sets. This foundational understanding paves the way for our proposed mathematical schema for ENNs. Within this framework, we articulate the methodologies for embedding data in elliptic spaces and adapt neural network operations by encompassing neuron activation, signal propagation, and learning paradigms to conform to the topological idiosyncrasies of elliptic geometry. In this paper addressing the implementation of ENNs, we discuss the computational challenges and the development of novel algorithms requisite for navigating the elliptic geometric landscape. The prospective applications of ENNs are extensive and diverse, ranging from the enhancement of cyclic pattern recognition in time-series analysis to more sophisticated representations in graph-based data and natural language processing tasks. This theoretical exposition aims to set the groundwork for subsequent empirical research to validate the proposed model and assess its practical performance relative to conventional neural network architectures. By harnessing the distinctive characteristics of elliptic geometry, ENNs mark a significant stride towards enriching the arsenal of machine learning methodologies, potentially leading to more versatile and efficacious computational tools in data analysis and artificial intelligence.
A Framework for Managing and Monitoring the Battery Health Parameters of Rental Electric Vehicles
Authors: Sajini M L Merlin , Kumar V Sathish , Rao R Sathish , L S Sunil Varma , V Vengatesh
Published: April 2024

The rapid adoption of electric vehicles (EVs) has paved the way for a sustainable transportation future. However, ensuring the safety and reliability of rental EVs, particularly regarding their battery health, presents unique challenges. This paper proposes a comprehensive framework for monitoring and managing rental EV batteries, encompassing real-time data acquisition, advanced analytics, and proactive maintenance strategies. By implementing such a framework, rental EV providers can optimize battery performance, extend lifespan, and guarantee the safety and convenience of their customers. The surging popularity of rental electric vehicles (EVs) poses unique challenges in ensuring their safety and reliability, particularly concerning battery health. This paper presents a comprehensive framework for proactive monitoring and management of rental EV batteries. The framework encompasses real-time data acquisition of key battery parameters, advanced analytics for predicting degradation and identifying influencing factors, and data-driven maintenance strategies like cell balancing and optimized charging. Implementing this framework empowers rental EV providers to maximize battery lifespan, enhance customer experience, and contribute to a sustainable transportation future. This leads to improving the factors and the process to monitor the battery health parameters of the rental electric vehicle. By adopting the various monitoring algorithms to measure and monitor the battery health parameters such as State of Charge, State of Health, battery voltage, balancing current, and temperature are monitored by the lifespan of the battery is extended and the safety and reliability of the battery is ensured by monitoring the temperature.
Leveraging AI-Driven IoT Systems for Enhanced Air Quality Management in Nigeria: An Impact Examination towards Sustainable Development Goal
Authors: Odirichukwu Jacinta Chioma , Odirichukwu Simon Peter Chimaobi , Okolie Stanley Adiele , Njoku Obilor Athanasius , Dimoji Chigozie , Ndigwe Chinwe , Ekuma Godwin Oko , Onuoha Genevive , Igwe Favour Adaeze , Chika-Ugada Precious Kelechukwu , Ewunonu Toochi Chima
Published: April 2024

This paper conducts a comprehensive analysis of the impact of Artificial Intelligence (AI)-driven Internet of Things (IoT) systems on air quality management in Nigeria. The study examines the current state of air quality in Nigeria, highlighting prevailing challenges, health implications, and the environmental significance of escalating pollution levels. It delves into the existing conventional methods and technologies utilized for air quality management, emphasizing monitoring systems, regulatory frameworks, and pollution control measures. In addition, this review elucidates the integration of AI and IoT technologies globally in addressing environmental concerns, particularly in the realm of air quality management. It specifically zooms into the emergence and adoption of AI-driven IoT systems within Nige- ria’s environmental landscape, spotlighting ongoing initiatives or projects. This review seeks to investigate the implementation and consequences of AI-powered Internet of Things (IoT) systems in air quality management within Nigeria context. It bridges existing knowledge gaps by scrutinizing the effectiveness of these advanced systems in mitigating air pollution and assesses the challenges encountered in practical implementation, encompassing technical, regulatory, and socio-economic barrier.
Recent Technology Developments in Textile Industry
Authors: Tarafder Nemailal
Published: April 2024

Landscape in textiles for India is changing greatly due to technological development. There are huge numbers of mills in India that have integrated process flow right from spinning operation to apparel manufacturing. Digital transformation is bridging the gap between technology and textiles. High-fibre fabrics production is capable only with the implementation of modern solutions. Technology in textile industry has improved processes and making fabrics production more efficiently. Recent developments in technology in textiles show that textile and fashion segment will continue to evolve with the continuous innovations. Technology developed to enable vibrant imaging on fabrics and alterations to be done with a simple click on mouse. With the latest technological developments and innovations, the apparel industry is undergoing with interested changes. In the modern textile designs, digital photo types are used as an essential tool. Varieties of IoT sensors are used to collect persons’ biometric data for the purpose of effective health and activity monitoring.
ANGLO-RUSSIAN RAPPROCHEMENT (1728-1731)
Authors: Büyükaksoy Ahmet
Published: April 2024

Russia was a growing power in 18th century thanks to efforts of Peter the Great. In his time Russia, started to play important role in European politics and started to involve in European affairs. However rise of the Russia, was detrimental to Britain who construct her foreign policy upon five main pillars. In early 1720’s Russia was threatening every pillar of the British foreign policy. Thereby two powers came to brink of war. Conclusions of the Treaties of Vienna and Hannover, served only to increase the polarisation. Yet after the death of George I’s- first Hanoverian king of Great Britain, conjecture started to change. Europe entered a “détente” period and Russia’s enmity towards to Great Britain started to vanish. Tensions were easing and Russia started to abandon her expansionist policies. British government was aware of potential of Russia and therefore sent two representatives to Russia: Claudius Rondeau and Thomas Ward. Main aim of these representatives was to protect the rights of the British merchant and observe the moves of the Russian government. Their arrival represents a new epoch in Anglo-Russian relations: A period of rapprochement. British pair, who found themselves in a hostile environment, without an official character, worked three years under difficult conditions, and finally they managed to restore the old friendship between two powers. Their works would pave way for future close cooperation, which would endure until the end of 18th century. This paper will first explain the reasons of the estrangement between Great Britain and Russia. Then, activities of Claudius Rondeau and Thomas Ward, which would be ended with the completion of rapprochement, will be examined. Finally reasons that why did the British government decided to restore her relations with Russia will be investigated.
A PRIVAÇÃO DO BRINCAR NA INFÂNCIA: UMA ANÁLISE A PARTIR DE ALGUNS PROFISSIONAIS DE EDUCAÇÃO
Authors: Vieira Ana , Silva Claudia , Santos Daniela , Dantas Eduarda , Campos Lucineide
Published: April 2024

O presente trabalho objetivo de modo geral analisar os impactos da privação do brincar na vida e educação das crianças a partir da opinião de profissionais da educação e de forma específica busca identificar os principais elementos cognitivos desenvolvidos através da ação do brincar, verificar a importância da brincadeira no processo de aprendizagem e refletir sobre o espaço da brincadeira no planejamento dos professores. A pesquisa é de natureza qualitativa, do tipo exploratória, no qual o instrumento de coleta de dados utilizado foi entrevisto semiestruturada aplicada com 8 profissionais de Educação atuantes no município de Jaboatão dos Guararapes. Conclui-se que as entrevistadas reconhecem o brincar como uma ação importante na vida das crianças e que A possibilidade dessa ação de forma livre influencia positivamente no desenvolvimento cognitivo, contudo muitas vezes não consegue criar essas possibilidades diante do planejamento e do engessamento escolar. Palavras-chave: Infância. Brincar. Crianças. Educação.
O PODER FEMININO NO MERCADO DE TRABALHO: DESAFIOS E CONQUISTAS
Authors: Campelo Arandi , Espindola Ana , Silva Maria Eunice
Published: April 2024

Este artigo tem como objetivo demonstrar o nível de participação da mulher no mercado de trabalho, bem como sua participação na sociedade, identificando os principais desafios enfrentados e conquistas realizadas ao longo da história da humanidade. O artigo foi projetado e construído através de pesquisas bibliográficas e pesquisas de campo. Os principais teóricos que deram base para este artigo foram Bernardes (2021) e Malala (2013). A pesquisa foi realizada em uma empresa do ramo logístico que tem por nome Dia Distribuição e Importação LTDA, localizada em Jaboatão dos Guararapes, em 2023. Do total de 543 funcionários, 15 deles participaram da pesquisa de campo. Como principal instrumento de investigação foi utilizado um questionário com questões de múltipla escolha onde foram coletados dados e opiniões dos participantes. A análise demonstrou que, apesar de muitas conquistas realizadas pelas mulheres dentro das organizações, ainda se tem muito a conquistar. Também é nítido que as mulheres são persistentes e não desistirão, até eliminar todo o preconceito e discriminação ao gênero feminino. A pesquisa também traz à tona que o empoderamento feminino significa mais do que o poder feminino e seu impacto causado na sociedade, pois trata-se de respeito e reconhecimento. Palavras-chave: Poder feminino. Mercado de trabalho. Empoderamento feminino.
UBERIZAÇÃO: UMA ANÁLISE SOB A PERSPECTIVA DO DIREITO DO TRABALHO
Authors: Cavalcante Adriano , Cavalcanti Carlos Augusto , Bezerra Nathália
Published: April 2024

O artigo apresenta uma análise prático-teórica da rotina de trabalho dos motoristas do aplicativo Uber, que atuam na Região Metropolitana do Recife, e suas relações com os clientes e com a plataforma, examinando, mormente, se, de fato, existe relação jurídica de trabalho/emprego entre o mencionado aplicativo e o condutor, à luz da Consolidação das Leis do Trabalho. O objetivo é demonstrar se, na prática, encontramos os pressupostos imprescindíveis para a caracterização do vínculo empregatício, conforme estabelece o art. 3º da CLT, quais sejam, habitualidade, subordinação, onerosidade, pessoalidade e pessoa física. A partir do entendimento do cotidiano dos motoristas parceiros do aplicativo Uber, este artigo esclarecerá as vantagens e desvantagens presentes na relação jurídica existente, independentemente das decisões proferidas pelas altas cortes, destacando as necessidades reais desses profissionais e contribuindo com o aprofundamento do tema. Palavras-chave: Uberização do trabalho. Motoristas de aplicativo. Vínculo empregatício.
Esej jako metoda kształcenia studentów – przyszłych nauczycieli geografii
Authors: Angiel Joanna , Hibszer Adam
Published: April 2024

An essay is one of the written forms of expression commonly used in literature. It can also be a method for correctly and ingenious formulation of written statements by pupils and students in the process of their education at various stages of learning and studying. The aim of the article is to present the features and values of the essay as a method used in the process of educating geography students – developing various language skills, including: freedom of expression of one’s own views, subjective assessment of facts and events, and creative involvement – i.e. competences useful to geographers, especially candidates for work in as teachers. The article also includes the results of a survey conducted on the subject of the essay among students of geography teaching specialization or teaching unit / module at five Polish universities, as well as considerations on the advisability of using it as a form of passing a course.