Data is very important in any research experiment because it occupies a central place in making decisions based on findings resulting from the analysis of such data. Given its central role, it follows that such an important asset as data, deserve effective management in order to protect the integrity and provide an opportunity for effective problem-solving. The main thrust of this paper was to examine data management practices that should be adopted by scholars (...) in maintaining the quality of their research data. In achieving this, various concepts related to this paper were clarified. Various data management practices were also discussed beginning from data generation to data shredding. Based on the underlying observations from the light of the discussions made in this paper, it was recommended among others that: tertiary institutions in every part of the world should endeavour to establish a data management unit that will be saddled with the primary duty of formulating research data management policies, and the hosting of research data; every Journal should as a matter of compulsion, require the submission of data set corresponding to empirical papers submitted by authors and scholars. (shrink)

The dishonest practices in the conduct of educational research in South-South region particularly, and Nigeria generally, has called for urgent intervention. This study assessed data management practices and educational research effectiveness of University Lecturers in South-South Nigeria. A sample of 602 lecturers that were accessible during data collection responded to two questionnaires (Data Management Practices Questionnaire – DMPQ and "Educational Research Effectiveness Questionnaire – EREQ). Multiple regression was employed in the analysis of (...) data. Findings revealed amongst others that; data storage, data security, data retrieval, data sharing, and data re-use jointly contributed to the total variance in educational research effectiveness in terms of proper citations by 56.25%, problem-solving by 22.14%, knowledge creation by 34.50%, and generation of testable data by 36.88%; and their composite influence on educational research effectiveness in terms of proper citations (F=152.25,p<.05), problem-solving (F=33.90,p<.05), knowledge creation (F=62.78,p<.05), and generation of testable data (F=69.65,p<.05), is statistically significant. Based on the findings of this study, it was recommended among others that, there should be an up-to-date database or data warehouse in Ministries of Education where researchers can easily access data in order to increase the quality of researches by eliminating the problems of data fabrication and falsification. This study contributes to the existing body of knowledge by addressing the gaps arising from the paucity of research literature on educational research effectiveness. This study shows how data management practices affects the quality of educational research output of university lecturers using empirical evidence from Nigeria. (shrink)

Digitisation of research data is widely increasing all around the world because it needs more and development of enormous digital technologies. Data curation services are starting to offer many libraries. Research data curation is the collective invaluable and reusable information of the researchers. Collected data preservation is more important. The majority of the higher education institutes preserved the research data for their students and researchers. It is stored for a long time using (...) various formats. It is called research data preservation. Without proper research data management plan and implementation cannot curate the research data. The aim of the study is to identify the Asian Library and Information Science (LIS) faculties’ experiences in the research data preservation and curation during their research. Data management, curation and preservation all are interlinked. For reuse of the research data; data curation is an essential role. For this research, we adopted a survey method and an online questionnaire was shared with 1400 LIS professionals, belonging to the Asian region but the completed study respondents are 125 university faculties from various Asian countries. The study findings are 76.8 per cent generated statistical data followed by 58.4 per cent textual files. By far, the most preferable data analysis tool is Microsoft Excel 82.4 per cent. Moreover, the result shows that generated data is mostly stored by personal computers and laptop hard disks. This study concludes LIS faculties having adequate skills and knowledge on data curation and preservation even though they are expecting more services from their academic institute …. (shrink)

The study was conducted to compare manual and computerized software techniques of data management and analysis in educational research. Specifically, the study investigated whether there was a significant difference in the results of Pearson correlation, independent t-test and ANOVA obtained from using manual and computerized software technique of data analyses. Three null hypotheses were formulated accordingly to guide the study. The study adopted a quasi-experimental research design where several data were generated by the researchers (...) and analyzed using manual and computerized software techniques. The data were generated to suit the required data of each statistical method of analysis. CASIO fx-991ES PLUS NATURAL DISPLAY scientific calculator and statistical tables were used for manual analysis; while data analysis tool pack of Microsoft Excel version 2013 were used for computerized software analysis. The results of the analysis revealed that both manual and computerized software techniques yielded the same results for Pearson correlation, independent t-test and ANOVA. It was concluded that though both manual and computerized techniques are reliable and dependable, computerized technique is faster and efficient in managing and analyzing data than manual technique. It was recommended, among other things, that any of the techniques should be used without fear when computing Pearson, independent t-test and one-way ANOVA as it is the same results that will be gotten. (shrink)

The society could be understood through data around us. Hence, each individual must be equipped with knowledge and skills in managing data. This study aimed to describe data management skills of the college students. It made use of a mixed method of the qualitative and quantitative type of research, particularly descriptive approach. The study was conducted in the undergraduate schools of Saint Mary’s University at Bayombong, Nueva Vizcaya, Philippines. The data management skills assessment (...) is a researcher-made questionnaire that intended to measure the ability of senior students to properly handle data for easy access like sorting or arranging and coding. Findings revealed that most of the senior students were moderately skillful in managing data. It suggests that the data management skills of the students are not yet fully achieved. Hence, data management skills should be taught as much as writing or computational skills are taught because of the importance it plays in the society. (shrink)

The Internet of Things (IoT) infrastructure forms a gigantic network of interconnected and interacting devices. This infrastructure involves a new generation of service delivery models, more advanced data management and policy schemes, sophisticated data analytics tools, and effective decision making applications. IoT technology brings automation to a new level wherein nodes can communicate and make autonomous decisions in the absence of human interventions. IoT enabled solutions generate and process enormous volumes of heterogeneous data exchanged among billions (...) of nodes. This results in Big Data congestion, data management, storage issues and various inefficiencies. Fog Computing aims at solving the issues with data management as it includes intelligent computational components and storage closer to the data sources. Often, an IoT-enabled infrastructure is shared among many users with various requirements. Sharing resources, sharing operational costs and collective decision making (consensus) among many stakeholders is frequently neglected. This research addresses an essential requirement for adaptive, autonomous and consensus-based Fog computational solutions which are able to support distributed and in-network schemes and policies. These network schemes and policies need to meet the requirements of many users. In this work, innovative consensus-based computational solutions are investigated. These proposed solutions aim to correlate and organise data for effective management and decision making in Fog. Instead of individual decision making, the algorithms aim to aggregate several decisions into a consensus decision representing a collective agreement, benefiting from the individuals variant knowledge and meeting multiple stakeholders requirements. In order to validate the proposed solutions, hybrid research methodology is involved that includes the design of a test-bed and the execution of several experiments. In order to investigate the effectiveness of the paradigm, three experiments were designed and validated. Real-life sensor data and synthetic statistical data was collected, processed and analysed. Bayesian Machine Learning models and Analytics were used to consolidate the design and evaluate the performance of the algorithms. In the Fog environment, the first scenario tests the Aggregation by Distribution algorithm. The solution contribute in achieving a notable efficiency of data delivery obtained with a minimal loss in precision. The second scenario validates the merits of the approach in predicting the activities of high mobility IoT applications. The third scenario tests the applications related to smart home IoT. All proposed Consensus algorithms use statistical analysis to support effective decision making in Fog and enable data aggregation for optimal storage, data transmission, processing and analytics. The final results of all experiments showed that all the implemented consensus approaches surpass the individual ones in different performance terms. Formal results also showed that the paradigm is a good fit in many IoT environments and can be suitable for different scenarios when applying data analysis to correlate data with the design. Finally, the design demonstrates that Fog Computing can compete with Cloud Computing in terms of accuracy with an added preference of locality. (shrink)

This research proposes a novel Smart Deduplication Framework (SDF) designed to identify and eliminate redundant data, thus optimizing storage usage and improving data retrieval speeds. The framework leverages a hybrid cloud architecture, combining the scalability of public clouds with the security of private clouds. By employing a combination of client-side hashing, metadata indexing, and machine learning-based duplicate detection, the framework achieves significant storage savings without compromising data integrity. Real-time testing on a hybrid cloud setup demonstrated a (...) 65% reduction in storage needs and a 40% improvement in data retrieval times. Additionally, the system employs blockchain for immutable logging of deduplication activities, enhancing transparency and traceability. This study concludes with an evaluation of the deduplication framework's impact on cost efficiency, system performance, and potential scalability. Future enhancements aim to integrate multi-cloud interoperability and advanced compression algorithms to further refine storage management. (shrink)

The existing body of knowledge has witnessed gaps arising from the paucity of research literature on the quality of educational research output in higher education. This study shows how the management of data in higher education affects the quality of academic research conducted by university lecturers in South-South Nigeria. The study adopted a factorial research design. The population of this study includes all the Faculty of Education academic staff in both public and private universities (...) situated in South-South Nigeria. Using results of a survey administered to a sample of 602 accessible lecturers during data collection, one research question and one null hypothesis were resolved in the study. Multiple regression was employed in the analysis of data. Findings revealed amongst others that; data storage, data security, data retrieval, data sharing, and data re-use jointly contributed to the total variance in educational research effectiveness in terms of proper citations by 56.25%, problem-solving by 22.14%, knowledge creation by 34.50%, and generation of testable data by 36.88%; and their composite influence on educational research effectiveness in terms of proper citations, problem- solving, knowledge creation, and generation of testable data, is statistically significant. Based on the findings of this study, it was concluded that data management practices play an important role in higher education that significantly influences the quality of research output in universities in South- South Nigeria. It was recommended among others that, there should be an up-to-date database or data warehouse in Ministries of Education where researchers can easily access data in order to increase the quality of researches by eliminating the problems of data fabrication and falsification. (shrink)

As the Internet of Things (IoT) continues to expand, ensuring secure and efficient data storage and retrieval becomes a critical challenge. IoT devices, often constrained by limited computational resources, require lightweight encryption protocols that balance security and performance. This paper presents an optimized encryption protocol designed specifically for lightweight, searchable data in IoT environments. The proposed protocol utilizes advanced optimization techniques to enhance the efficiency and security of searchable encryption, enabling rapid data retrieval without compromising the integrity (...) and confidentiality of the data. The protocol leverages a hybrid cryptographic approach, combining symmetric and asymmetric encryption, to ensure robust protection against unauthorized access while maintaining low computational overhead. (shrink)

Cloud storage's scalability, accessibility, and affordability have made it essential in the digital age. Data security and privacy remain a major issue due to the large volume of sensitive data kept on cloud services. Traditional encryption is safe but slows data recovery, especially for keyword searches. Secure, fine-grained access control and quick keyword searches over encrypted data are possible using attribute-based keyword search (ABKS). This study examines how ABKS might optimize search efficiency and data security (...) in cloud storage systems. We examine index compression, query processing improvement, and encryption optimization to decrease computational cost and preserve security. (shrink)

The exponential growth of data storage requirements has become a pressing challenge in hybrid cloud environments, necessitating efficient data deduplication methods. This research proposes a novel Smart Deduplication Framework (SDF) designed to identify and eliminate redundant data, thus optimizing storage usage and improving data retrieval speeds. The framework leverages a hybrid cloud architecture, combining the scalability of public clouds with the security of private clouds. By employing a combination of client-side hashing, metadata indexing, and machine (...) learning-based duplicate detection, the framework achieves significant storage savings without compromising data integrity. Real-time testing on a hybrid cloud setup demonstrated a 65% reduction in storage needs and a 40% improvement in data retrieval times. Additionally, the system employs blockchain for immutable logging of deduplication activities, enhancing transparency and traceability. This study concludes with an evaluation of the deduplication framework's impact on cost efficiency, system performance, and potential scalability. Future enhancements aim to integrate multi-cloud interoperability and advanced compression algorithms to further refine storage management. (shrink)

This study investigated innovation management and effectiveness of educational research in tertiary institutions in Cross River State. One research question and one null hypothesis were formulated to direct the study. The study adopted factorial research design. Census technique was adopted by the researcher in selecting the entire population of 80 participants from four (4) tertiary institutions in Cross River State. “Innovation Management Questionnaire (IMQ)” and “Effectiveness of Educational Research Rating Scale (EERRS) were used as (...) instruments for data collection. The reliability of the instruments was established through test-retest method and reliability estimates of .89 and .86 were obtained. The null hypothesis was tested at .05 level of significance using multiple regression analysis with the aid of SPSS version 21. Findings from the study established a composite contribution of 70.5% of data management innovations, research ethics management, provision of research grants to effectiveness of educational research (Adj. R2= .705). The findings of this study also established that; data management innovations, research ethics management, and provision of research grants jointly has a significant influence on effectiveness of educational research (F = 64.055, p <.05). Data management innovations was the highest predictor (β = .501, t = 7.778), followed by research ethics management ethics management (β = .311, t = 3.956), and provision of research grants (β = .291, t = 3.707) in that order. Based on the findings, it was recommended, amongst others, that educational research data (including coded data) should be effectively managed by tertiary institutions using both manual and computerized data management devices with corresponding appropriate retrieval systems. (shrink)

The framework leverages a hybrid cloud architecture, combining the scalability of public clouds with the security of private clouds. By employing a combination of client-side hashing, metadata indexing, and machine learning-based duplicate detection, the framework achieves significant storage savings without compromising data integrity. Real-time testing on a hybrid cloud setup demonstrated a 65% reduction in storage needs and a 40% improvement in data retrieval times. Additionally, the system employs blockchain for immutable logging of deduplication activities, enhancing transparency and (...) traceability. This study concludes with an evaluation of the deduplication framework's impact on cost efficiency, system performance, and potential scalability. Future enhancements aim to integrate multi-cloud interoperability and advanced compression algorithms to further refine storage management. (shrink)

This review delves into the influence of big data analytics on project management effectiveness and project success rates. By examining applications, accomplishments, hindrances, and emerging developments in the context of big data analytics and project management, this review provides insights into its transformative potential. Results indicate that big data analytics fosters improved project performance, more robust risk management, and heightened adaptability. However, challenges related to data quality, privacy, and project manager training remain to (...) be addressed. This review underscores the value of data-driven decision-making for both practitioners and researchers in the project management field. (shrink)

The management of waste has become an increasingly critical issue as urbanization and industrial activities surge globally. Traditional waste management practices are struggling to keep pace with the rising quantities and complexities of waste. This paper delves into the integration of intelligent technologies, such as Artificial Intelligence (AI), the Internet of Things (IoT), and data analytics, into waste management systems. By examining current practices, methodologies, experiments, and results, this study aims to highlight the transformative potential of (...) intelligent technologies in optimizing waste management processes, enhancing efficiency, and reducing environmental impact. (shrink)

In modern data centers, managing the distribution of workloads efficiently is crucial for ensuring optimal performance and meeting Service Level Agreements (SLAs). Load balancing algorithms play a vital role in this process by distributing workloads across computing resources to avoid overloading any single resource. However, the effectiveness of these algorithms can be significantly enhanced through the integration of advanced optimization techniques. This paper proposes an SLA-driven load balancing algorithm optimized using methods such as genetic algorithms, particle swarm optimization, and (...) simulated annealing. By focusing on both resource utilization and SLA compliance, the proposed approach aims to reduce latency, improve throughput, and maximize overall system efficiency. The research introduces a novel framework that incorporates real-time monitoring, dynamic resource allocation, and adaptive threshold settings to ensure consistent SLA adherence while optimizing computing performance. (shrink)

In this commentary, I propose a framework for thinking about data quality in the context of scientific research. I start by analyzing conceptualizations of quality as a property of information, evidence and data and reviewing research in the philosophy of information, the philosophy of science and the philosophy of biomedicine. I identify a push for purpose dependency as one of the main results of this review. On this basis, I present a contextual approach to data (...) quality in scientific research, whereby the quality of a dataset is dependent on the context of use of the dataset as much as the dataset itself. I exemplify the approach by discussing current critiques and debates of scientific quality, thus showcasing how data quality can be approached contextually. (shrink)

This paper explores the challenges and innovations in optimizing data science workflows within cloud computing environments. It begins by highlighting the critical role of data science in modern industries and the pivotal contribution of cloud computing in enabling scalable and efficient data processing. The primary focus lies in identifying and analyzing the key challenges encountered in current data science workflows deployed in cloud infrastructures. These challenges include scalability issues related to handling large volumes of data, (...) resource management complexities in optimizing computational resources, cost management strategies to balance performance with expenses, and ensuring robust data security and privacy measures. The manuscript then delves into innovative solutions and techniques aimed at addressing these challenges. It discusses advancements such as workflow automation tools and frameworks that streamline repetitive tasks, containerization technologies like Docker and Kubernetes for efficient application deployment and management, and the utilization of serverless architectures to enhance scalability and reduce operational costs. Additionally, it explores the benefits of parallel processing frameworks such as Apache Spark and Hadoop in optimizing data processing tasks. The integration of machine learning algorithms for dynamic workflow optimization and effective data management strategies in cloud environments are also examined. Through detailed case studies and application examples across various domains, the manuscript illustrates the practical implementation and outcomes of these optimization strategies. Furthermore, it discusses emerging trends in cloud technologies, the role of AI-driven automation in enhancing workflow efficiencies, and ethical considerations surrounding data science operations in cloud computing. The manuscript concludes with a summary of findings, practical recommendations for organizations seeking to enhance their data science workflows in the cloud, and insights into future research directions to address evolving challenges. (shrink)

Accessing reliable and accurate information is essential to the proliferation of information through various channels. This can help individuals make informed decisions and avoid misinformation or disinformation. In such a case, creating an online information system should be prioritized to provide available data and information for planning, budgeting, and allocating resources and operational targets. This study assessed the level of satisfaction with the usability of EBEIS/LIS data and school management by the Department of Education among public secondary (...) schools of the Division of Bohol during 2019-2020. This research employed a quantitative method using the revised perception questionnaire, which underwent pilot testing using Cronbach's coefficient alpha to check the reliability level. Findings revealed that administrators, classroom teachers, and coordinators were satisfied with using data in school management. Findings revealed that administrators, classroom teachers, and coordinators were satisfied with using data in school management, satisfied with the personnel involved in facilitating the data, the information literacy given, and the ICT facilities to be used in online access data. However, some schools need more internet connectivity and more availability of posted/printed manuals and guidelines on accessing the online system. A need arises to provide a streamlined copy of the manual, which can be used as guidelines for online access, and strengthen its support in acquiring internet connectivity for all its learning facilities by partnering with internet service providers to optimize the signal. (shrink)

Biodiversity science is in a pivotal period when diverse groups of actors—including researchers, businesses, national governments, and Indigenous Peoples—are negotiating wide-ranging norms for governing and managing biodiversity data in digital repositories. These repositories, often called biodiversity data portals, are a type of organization for which governance can address or perpetuate the colonial history of biodiversity science and current inequities. Researchers and Indigenous Peoples are developing and implementing new strategies to examine and change assumptions about which agents should count (...) as salient participants in scientific projects, especially in projects that build and manage large digital data portals. Two notable efforts are the FAIR (Findable, Accessible, Interoperable, Reusable) and CARE (Collective benefit, Authority, Responsibility, Ethics) Principles for scientific data management and governance. To characterize how these principles influence the governance of biodiversity data portals, we develop an account of fit-for-use data that makes explicit its social as well as technical conditions in relation to agents and purposes. The FAIR Principles, already widely adopted by biodiversity researchers, prioritize machine agents and efficient computation, while the CARE Principles prioritize Indigenous Peoples and their data sovereignty. Both illustrate the potency of an emerging general strategy by which groups of actors craft and implement governance principles for data fitness-of-use to change assumptions about who are salient participants in data science. (shrink)

This research tackled the challenges public secondary schools in Sagbayan District, Bohol, faced regarding records management. The study employed a mixed research design, combining both descriptive-qualitative and descriptive- quantitative methods. The qualitative phase involved conducting in-depth interviews and focus group discussions with relevant stakeholders involved in records management. On the other hand, the quantitative phase utilized survey questionnaires to gather data from relevant stakeholders to determine the acceptability of the proposed MIS among end-users. The first (...) phase findings revealed various challenges in records management faced by the schools, such as inefficient manual record-keeping systems, difficulties in data retrieval, and the risk of data loss due to inadequate backup procedures. These challenges highlighted the need for a comprehensive, technology-driven solution to streamline records management processes and ensure data security. The evaluation results in the second phase showed that the developed Management Information System (MIS) was well-accepted among the end users. The absence of any significant difference in the level of acceptability among the participants further validated the system's suitability for addressing their specific needs. The successful implementation of the MIS proved to be an effective solution to the records management challenges faced by the public secondary schools in Sagbayan District, Bohol. (shrink)

In Bulgaria, integrating technology and innovation is crucial for advancing sustainable healthcare disaster management, enhancing disaster response and recovery, and minimizing long-term environmental and social impacts. The purpose of the study is to assess the impact of modern technological innovations on the effectiveness of disaster management in health care in Bulgaria with a focus on Health Information Systems (HIS), Telemedicine, Telehealth, e-Health, Electronic Health Records, Artificial Intelligence (AI), Public Communication Platforms, and Data Security and Privacy. These innovations, (...) when integrated effectively, can significantly strengthen Bulgaria's preparedness and response capabilities, improving efficiency and reducing the environmental footprint of disaster interventions. Collaboration with technology experts, research institutions, and international organizations is essential for successful implementation. The research aims to assess how these technologies can enhance disaster management efficacy, adopting a methodical approach using Systematic Literature Reviews (SLRs). Systematic Literature Reviews (SLRs) utilize precise criteria for research selection and evaluation to reduce bias, systematically compiling and analyzing data from various studies to offer evidence-based insights. They are crucial for uncovering research gaps, indicating areas needing further exploration. Findings highlight the transformative potential of technology integration in streamlining communication, data management, and operational efficiency. The study underscores the urgent need for an integrated approach and a culture of innovation within the healthcare sector, emphasizing ongoing assessment and adaptation of technology-based strategies. While acknowledging limitations and calling for further research, the study provides valuable insights into Bulgaria's healthcare disaster management strategies and sets the stage for future investigations to refine and expand upon these strategies. It advocates for a strategic framework guiding the efficient integration of technology into disaster management, aiming for resilient and patient-centric healthcare systems. (shrink)

The potential to collect brain data more directly, with higher resolution, and in greater amounts has heightened worries about mental and brain privacy. In order to manage the risks to individuals posed by these privacy challenges, some have suggested codifying new privacy rights, including a right to “mental privacy.” In this paper, we consider these arguments and conclude that while neurotechnologies do raise significant privacy concerns, such concerns are—at least for now—no different from those raised by other well-understood (...) class='Hi'>data collection technologies, such as gene sequencing tools and online surveillance. To better understand the privacy stakes of brain data, we suggest the use of a conceptual framework from information ethics, Helen Nissenbaum’s “contextual integrity” theory. To illustrate the importance of context, we examine neurotechnologies and the information flows they produce in three familiar contexts—healthcare and medical research, criminal justice, and consumer marketing. We argue that by emphasizing what is distinct about brain privacy issues, rather than what they share with other data privacy concerns, risks weakening broader efforts to enact more robust privacy law and policy. (shrink)

This research presents a novel and efficient public key cryptosystem known as the Enhanced Schmidt Samoa (ESS) cryptosystem, proposed to safeguard the data of a single owner in cloud computing environments. Data storage is a one-time process in the cloud, while data retrieval is a frequent operation. Experimental results demonstrate that the ESS cryptosystem offers robust data confidentiality in the cloud, surpassing the security provided by traditional cryptosystems. The research also introduces a secure cloud (...) framework designed to accommodate both individuals and organizations accessing applications and data in the cloud. While individual users may generate and share data, organizations often involve multiple users in data sharing to support their business processes. In these scenarios, multi-user data ownership and access management become critical, requiring secure sharing of cryptographic keys among the authorized users. To address these issues and ensure data confidentiality in multi-user cloud environments, the Improved Secure Cloud Data Storage Framework (ISCDSF) is introduced. This research not only enhances data security but also provides a comprehensive framework for secure data sharing in the cloud, catering to the needs of both individual users and organizations. (shrink)

The science of operations research is one of the modern sciences that have made a great revolution in all areas of life through the methods provided by it, suitable and appropriate to solve most of the problems that were facing researchers, scholars and those interested in the development of societies, and the most beneficiaries of this science were companies and institutions that are looking for scientific methods that help them manage their work so that they achieve the greatest profit (...) and the lowest cost, and one of the important methods that have been used in the management of companies we offer in this research two methods, Dynamic programming method. This method has been used in many practical matters and helped decision-makers in companies to achieve a maximum profit and less cost by formulating the reality of the state of the company and the data provided by decision-makers with a dynamic mathematical model that is solved using methods of solving dynamic models and we will provide in this research an example of this through the issue of choosing the optimal investment for the budget of a company so that it achieves a maximum profit, and the method of programming with integers: the method that provided these companies with solutions with integer values suitable for the nature of its work, through the use of the binary integer in the formulation of the appropriate mathematical model on the one hand, and on the other hand, the use of the binary integer variable helped to convert some nonlinear models that lead to some practical problems into linear models, and it should be noted here that in the previous two methods there is something indeterminable because we must make a decision in choosing or not choosing something, but the optimal solution that we will get remains A specific value because we are building the mathematical model for any realistic issue through the data provided by those responsible for the work and these data are calculated quantities and therefore they are uncertain values because their validity depends on the circumstances surrounding the work environment, they may be exposed to increase or decrease, and therefore the optimal solution on which the company will base its decision is suitable for specific values and any change in them can cause the company an uncalculated loss, so in this research we will use the concepts of neutrosophic science, the branch of science founded by the American scientist Florentin Smarandache in 1995 based on his belief that there is no absolute truth, a science that is interested in the study of ideas and concepts that are neither true nor false, but just in between, and we will take the data (calculated quantities) neutrosophic values that are specified or unspecified values are any set close to the calculated quantities, then the resulting mathematical model is a neutrosophic model and the optimal solution has neutrosophic values and thanks to the indefinite uncertainty that these values have, companies from the development of appropriate plans for all circumstances and thus achieve the greatest profit and the lowest cost, and we will clarify the above through two issues, the issue of optimal designation of a warehouse site, which we will formulate the mathematical model of using the neutrosophic integer programming method - and the issue of capital budget, which we will present in two different forms, we use in the first form the neutrosophic integer programming method and in the second the neutrosophic dynamic programming method. (shrink)

There is currently an academic debate among researchers regarding the influence of age and gender on ICT utilisation generally among lecturers. This study was designed to contribute to this debate and open up new paths to areas on which researchers have focused little or no attention. This study examined lecturers’ variables (gender, age, educational qualification and rank) and the utilisation of ICT resources for teaching, research, and records management in higher education. The study adopted a descriptive survey design. (...) The study’s population comprised of 9,604 lecturers at the University of Calabar. A total of 313 lecturers who were available in their offices during data collection responded to a questionnaire which was designed by the researchers. Major findings showed that the extent of lecturers' utilisation of ICT for teaching, research, and records management is significantly low. Also, staff' educational qualification, rank, gender, and age significantly influence the utilisation of ICT for teaching, research and records management. Also, the utilisation of ICT resources decreased with lecturers’ educational qualifications, rank and age; male lecturers were more competent in the use of ICT resources than females. It was concluded that lecturers' variables play a significant role on the extent to which they utilise ICT resources for teaching, research and records management in higher education. This study creates a new path of innovation in education on which prospective researches could focus. (shrink)

Management of school-related variables and teachers’ job effectiveness in secondary schools in Calabar South Local Government Area, Cross River State was the main thrust of this study. Four research questions were raised, and four hypotheses were formulated to direct the study. The descriptive survey design was adopted for the study while the total population of 208 secondary school teachers in Calabar South Local Government Area were selected for the study using census technique. A questionnaire titled “Management of (...) School Related Variables and Teachers’ Job Effectiveness in Secondary School Questionnaire (MSRVTJESSQ)” designed by the researcher was used as an instrument to collect data from the respondents. The null hypotheses were tested at 0.05 level of significance using Pearson Product Moment Correlation, Independent t-test, and One-Way Analysis of Variance statistical techniques where applicable. It was found that; managing class size, school management style, and school location has a significant influence on teachers’ job effectiveness respectively in Calabar South Local Government Area of Cross River State. It was recommended amongst others that; school principals should ensure that they adopt a more contingent management style where different situations will warrant the use of the different technique; the recommended teacher-pupils’ ratio of 1:35 should be maintained. (shrink)

“Big Data” and data analytics affect all of us. Data collection, analysis, and use on a large scale is an important and growing part of commerce, governance, communication, law enforcement, security, finance, medicine, and research. And the theme of this symposium, “Individual and Informational Privacy in the Age of Big Data,” is expansive; we could have long and fruitful discussions about practices, laws, and concerns in any of these domains. But a big part of the (...) audience for this symposium is students and faculty in higher education institutions (HEIs), and the subject of this paper is data analytics in our own backyards. Higher education learning analytics (LA) is something that most of us involved in this symposium are familiar with. Students have encountered LA in their courses, in their interactions with their law school or with their undergraduate institutions, instructors use systems that collect information about their students, and administrators use information to help understand and steer their institutions. More importantly, though, data analytics in higher education is something that those of us participating in the symposium can actually control. Students can put pressure on administrators, and faculty often participate in university governance. Moreover, the systems in place in HEIs are more easily comprehensible to many of us because we work with them on a day-to-day basis. Students use systems as part of their course work, in their residences, in their libraries, and elsewhere. Faculty deploy course management systems (CMS) such as Desire2Learn, Moodle, Blackboard, and Canvas to structure their courses, and administrators use information gleaned from analytics systems to make operational decisions. If we (the participants in the symposium) indeed care about Individual and Informational Privacy in the Age of Big Data, the topic of this paper is a pretty good place to hone our thinking and put into practice our ideas. (shrink)

The study examined personnel management and corrupt academic practices in universities in Cross River State, Nigeria. In achieving this objective, two research questions and two null hypotheses were posed and formulated respectively, to guide the study. The study adopted a factorial research design, while the population of the study included all the academic staff and students from University of Calabar and Cross River University of Technology. A purposive sampling technique was employed to select 1200 students and 200 (...) lecturers from both Universities, resulting in a sample of 1400 respondents. The instrument used for data collection was a 25-item rating scale that was designed by the researcher to assess both students and lecturers respectively. The collected were analyzed using descriptive statistics, while the null hypotheses were tested at .05 alpha level, using multiple regression analysis. The results of the analysis revealed that; discipline and remuneration of lecturers influenced lecturers’ corrupt academic practices in the universities, with remuneration having the most influence. The findings of the study also revealed that discipline and supervision of university students have a joint significant influence on university students’ corrupt academic practices, with students’ supervision having the most influence on corrupt academic practices. Based on these findings, it was recommended among other things that university lecturers should be properly remunerated through frequent payment of salaries, and other wages in order to ensure that they do not lack food and other resources to manage and take proper care of their families; students should be supervised properly during examinations and in other academic/ co-curricular activities of the universities. (shrink)

The public constitutes a major stakeholder in the debate about, and resolution of privacy and ethical The public constitutes a major stakeholder in the debate about, and resolution of privacy and ethical about Big Data research seriously and how to communicate messages designed to build trust in specific big data projects and the institution of science in general. This chapter explores the implications of various examples of engaging the public in online activities such as Wikipedia that contrast (...) with “Notice and Consent” forms and offers models for scientists to consider when approaching their potential subjects in research. Drawing from Lessig, Code and Other Laws of Cyberspace, the chapter suggests that four main regulators drive the shape of online activity: Code (or Architecture), Laws, Markets, and Norms. Specifically, scientists should adopt best practices in protecting computerized Big Data (Code), remain completely transparent about their data management practices (Law), make smart choices when deploying digital solutions that place a premium on information protection (Market), and, critically, portray themselves to the public as seriously concerned with protecting the privacy of persons and security of data (Norms). The community of Big Data users and collectors should remember that such data are not just “out there” somewhere but are the intimate details of the lives of real persons who have just as deep an interest in protecting their privacy as they do in the good work that is conducted with such data. (shrink)

The study investigated conflict management strategies and secondary school teachers’ job effectiveness in Obubra Local Government Area of Cross River State. Six null hypotheses were formulated to guide the study. The study adopted correlational and factorial research designs. Purposive sampling technique was used to select a sample of 222 teachers from a population of 352 secondary school teachers. Conflict Management Strategies Questionnaire (CMSQ) and Secondary School Teachers’ Job Effectiveness Questionnaire (SSTJEQ) were used respectively, as instruments for (...) class='Hi'>data collection. The hypotheses were tested at .05 level of significance using Population t-test, Pearson Product Moment Correlation and Multiple Regression analyses. Findings revealed that, teachers’ job effectiveness level in Obubra Local Government Area is significantly high. Findings also revealed that arbitration, dialogue, and effective communication strategies respectively, had a significant relationship with secondary school teachers’ job effectiveness. Smoothing strategy had no significant relationship to secondary school teachers’ job effectiveness. The findings also revealed among others that; the four conflict management strategies (arbitration, dialogue, effective communication and smoothing) had a joint significant influence on secondary school teachers’ job effectiveness. Based on these findings, it was recommended among others that; secondary school principals should not rely totally on one conflict management strategy as the best for all situations, instead they should learn how to use various conflict management strategies, and apply them in any given conflict situation in their schools. (shrink)

This paper aims to identify computerized management information systems resources and their relationship to the development of performance in the Electricity Distribution Company in Gaza. This research used two dimensions. The first dimension is computerized management information systems and the second dimension the Development of Performance. The control sample was (063). (360) questioners were distributed and (306) were retrieved back with a percentage of (85%). Several statistical tools were used for data analysis and hypotheses testing, including (...) reliability correlation using Cronbach’s alpha, “ANOVA”, Simple Linear Regression and Step Wise Regression. The overall findings of the current study suggested the presence of a statistically significant relationship between resources (physical, software, and human and organizational) for the computerized management information systems and the development of performance in the Electricity Distribution Company in Gaza. The study recommended the following: The need to strengthen the company's management interest in the potential of computerized management information systems and using them in the computerization of all the company's activities. And the need to involve workers and users in the design of computerized management information systems and assessment and development process. And strengthen the relationship between users and information systems personnel in the department responsible for the system. And it is essential that the company is developing the infrastructure for information technology in general, and computerized management information systems, in particular for the development of performance. And increase interest in providing resources (physical, software, and human and organizational) for the computerized management information systems. The current study is unique by the virtue of its nature, scope and way of implied investigation, as it is the first study at Electricity Distribution Company in Gaza resources explores the status of Computerized management information systems and their relationship to the development of performance in the Electricity Distribution Company in Gaza increasing interest in Computerized management information systems through continuity, keeping pace with technological means and modern techniques. (shrink)

This study focuses on the differences in the perception of business ethics across two groups of management students from France and Romania (n = 220). Data was collected via the ATBEQ to measure preferences for three business philosophies: Machiavellianism, Social Darwinism, and Moral Objectivism. The results show that Romanian students present more favorable attitudes toward Machiavellianism than French students; whereas, French students valued Social Darwinism and Moral Objectivism more highly. For Machiavellianism and Moral Objectivism the results are consistent (...) with the literature and our hypotheses. However, contrary to our expectations, we find that Social Darwinism is more important in France than Romania. The results indicate that religious practice does not influence preferences for the three business philosophies. In terms of gender differences, women have less favorable attitudes toward Machiavellianism and more favorable attitudes toward Moral Objectivism than men. (shrink)

Aim: The researcher studied how the teachers at Guangdong Business and Technology University manage change based on the present situation in the country. -/- Methodology: This study utilized the descriptive – comparative research design with 275 teachers as respondents. Statistical test of data includes frequency count and percentage, weighted mean, t- test and/or ANOVA. -/- Results: Teacher respondents are very much ready to manage the change for the teaching and learning based on teaching-related factors which ranked first, as (...) well as on teaching-related factors which ranked second, and on technology-related factors which ranked third. It is noticeable that technology-related factor was the least assessed factors as regards their readiness to manage the change. Generally, an over-all mean value of 3.52 reveals that teachers are very much ready to manage the change for the teaching and learning. Based on the result, teacher respondents strongly agree on their level of motivation on their teaching and learning performance. The result reveals that teachers are highly motivated in performing their job as teachers based on their own assessment. -/- Conclusion: Majority of the respondents are female teachers in middle age aiming to earn their doctoral degree and have been in the university for not more than five years. Teachers believed that they are very much ready to manage the change for the teaching and learning. They also seem to be less ready in terms of accessing professional development opportunities that focus on continuous improvement of digital-age teaching skills. The use of variety of assessment strategies applying the technology and the implementation of alternative strategies in the classroom seems to be less managed by the teachers. They also have relatively the same assessment on how ready they are to manage the change in the teaching and learning regardless of their sex, age, educational level they have attained, and the length of stay in the institution. (shrink)

The study aimed to comprehensively overview the experiences encountered by public school employees during the recruitment, selection, and placement (RSP) process within the DepEd Bohol Division. Employing a qualitative-descriptive research design, the researchers utilized a phenomenological approach to delve deeply into these experiences, shedding light on the nuances and intricacies of the division's RSP process. As Lambert et al. (2013) described, qualitative- descriptive studies aim to provide a comprehensive and detailed summary of specific events experienced by individuals or groups (...) in everyday terms. To achieve this, Colaizzi's (1978) data analysis method was applied, meticulously gathering, transcribing, and analyzing recorded participant responses. The rigorous analysis revealed that an overwhelming 81% of the participants recognized significant challenges within the current RSP system of the division, underscoring the pressing need for a renewed approach to address these identified challenges. This highlighted the necessity for an RSP policy that is responsive and innovative, tailored to meet the evolving needs and expectations of applicants, schools, and the division. By implementing improvements to the RSP process, a more efficient and timely filling of vacated and newly available positions is anticipated, contributing to the seamless functioning of the educational system and ultimately enhancing the prospects of success. (shrink)

This study used a partial least squares structural equation modelling (PLS-SEM) to estimate curriculum management's direct and indirect effects on university graduate programmes' viability. The study also examined the role of institutional effectiveness in mediating the nexus between the predictor and response variables. This is a correlational study with a factorial research design. The study's participants comprised 149 higher education administrators (23 Faculty Deans and 126 HODs) from two public universities in Nigeria. A structured questionnaire designed by the (...) researchers was used for data collection. The questionnaire was duly validated with an acceptable scale and item content validity indices. The dimensionality of the instrument was determined using exploratory factor analysis (EFA). Convergent validity was based on Average Variance Extracted (AVE), whereas discriminant validity was based on Fornell-Lacker criteria and the Hetero-Trait Mono-Trait (HTMT) ratio. Acceptable composite reliability estimates of internal consistency were reached for the three sub-scales. Following ethical practices, the questionnaire was physically administered to respondents and retrieved afterwards. Smart PLS (version 3.2.9) and SPSS (version 26.0) programs were used for all the statistical analyses. This study uncovered significant direct and indirect effects of curriculum management on the viability of graduate programmes. Institutional effectiveness significantly impacted graduate programmes’ viability while mediating the nexus between curriculum management and graduate programmes’ viability. Curriculum management and institutional effectiveness jointly explained a significant proportion of graduate programmes’ viability variance. The result of this study proved that graduate programmes’ viability depends, to a great extent, on how much curriculum is managed and how effective institutions are with their services. The result of this study can enable institutions seeking to run viable graduate programmes to re-evaluate their curriculum management practices and the effectiveness of their services. (shrink)

The study examined disciplinary management in public primary schools and teachers' job effectiveness in Yakurr Local Government Area, Cross River State. Three null hypotheses were formulated accordingly to guide the study. The study adopted a descriptive survey research design. Census technique was adopted in selecting the entire population of 98 primary school managers which comprised of 49 head teachers and 49 deputy head teachers across 49 public primary schools available in the area. A questionnaire tagged: "Disciplinary Control in (...) Public Primary Schools and Teachers' Job Effectiveness Questionnaire (DCPPSTJEQ)" designed and administered by the researcher was used as an instrument for data collection. The null hypotheses were all tested at .05 level of significance using Pearson Product Moment Correlation Analysis. Findings from the study revealed that warning, suspension, and dismissal have significant relationships respectively, to primary school teachers' job effectiveness. Based on the findings of this study, it was recommended among others that; there should be fairness in the administration of suspension to all teachers through well- documented procedures. (shrink)

This research examined the management of financial and non-financial resources by Calabar Metropolis’ public secondary school principals in relation to the fulfillment of institutional goals. Null hypotheses were developed based on the two specific objectives guiding the study. The study used the ex-post facto research design under the quantitative research framework. A census approach was adopted in enumerating all the 69 school managers (24 principals and 45 vice principals) in Calabar Metropolis, Nigeria. A validated questionnaire, with (...) a reliability index of .90, was used for data collection. It was shown that there is a considerable association between the management of financial resources by school leaders and the fulfillment of institutional goals. A significant relationship was also established between principals’ management of non-financial resources (such as school libraries, school records and human resources) and the fulfillment of institutional goals in secondary schools. It is argued that to fulfil educational goals, financial and non-financial resources’ management in public secondary schools are critical. Policy and theoretical implications for successful educational management were discussed in light of this result. (shrink)

This study evaluated the relationship between participative management practices and institutional goal attainment among Nigerian universities, with University of Calabar in focus. To achieve the purpose of the study, two research questions and two null hypotheses where developed to guide the study. The descriptive survey research design was adopted for the study. The population and sample of the study was one hundred and twenty-two (122) deans of faculties and heads of departments using the census approach. An instrument (...) titled Participative Management Practices and Institutional Goal Attainment Questionnaire (PMPIGAQ) was used for data collection. The instrument was validated by three experts in Higher Education Administration and Measurement and Evaluation. The instrument yielded Cronbach’s reliability alpha ranging from α=.75-86. Data were collected and analyzed through mean, Standard deviation, Pearson Product Moment Correlation Analysis. The results of the study showed that there is a significant relationship between participation in decision making, participation in planning and institutional goal attainment. It was recommended that managers of universities should promote participatory management practices to enhance high morale, commitment and enthusiasm among staff in the pursuit and attainment of institutional goals. (shrink)

The paper assesses Knowledge Management Maturity(KMM) in the universities to determine the impact of knowledge management on performance excellence. This study was applied on Al-Azhar University and Al-Quds Open University in Gaza strip, Palestine. This paper depends on Asian productivity organization model that used to assess KMM. Second dimension which assess performance excellence was developed by the authors. The controlled sample was (610). Several statistical tools were used for data analysis and hypotheses testing, including reliability Correlation using (...) Cronbach’s alpha, “ANOVA”, Simple Linear Regression and Step Wise Regression. The overall findings of the current study suggest that KMM is suitable for measuring performance excellence. KMM assessment shows that both universities maturity level is in level three. Findings also support the main hypothesis and it is sub- hypotheses. The most important factors effecting performance excellence are: Processes, KM leadership, People, KM Outcomes. Furthermore the current study is unique by the virtue of its nature, scope and way of implied investigation, as it is the first comparative study in the universities of Palestine explores the status of KMM using the Asian productivity Model. (shrink)

This study aimed to highlight the nature of the relationship between knowledge management and the strategic decision-making process, considering that strategic decisions are formulated and made based on a specific knowledge perspective. The study targeted the university management, deans of faculties, and college directors at Al-Azhar University - Gaza. The study followed a descriptive-analytical approach, and data was collected through a questionnaire designed to cover six dimensions related to knowledge management processes and an axis related to (...) strategic decision-making. The data was analyzed using various statistical methods. The study results showed a statistically significant positive relationship between the role of knowledge management processes and activating the strategic decision-making process at Al-Azhar University - Gaza. The study recommended that the university pay more attention to the processes of knowledge awareness and application as they serve as the link between existing knowledge and the creation of good knowledge. Furthermore, these processes are considered the essential means through which the university improves the effectiveness of strategic decisions and enhances its position. (shrink)

This study used a path analytic approach to examine the composite interaction of supervisory and records management with secondary school system effectiveness in terms of students' academic performance, teachers' job effectiveness and principals' administrative effectiveness. Two research questions were answered while one null hypothesis was tested. The study adopted a factorial research design. Convenience sampling technique was adopted by the researchers in selecting a sample of 1,200 respondents which comprised 271 principals and 929 teachers from a population (...) of 271 principals, and 4,878 teachers. Principal Innovative Management Practices and Administrative Effectiveness Questionnaire (PIMPAEQ), Teachers work effectiveness questionnaire (TWEQ), and Students Mathematics Achievement Test (SMAT) were all used as instruments for data collection. Collected data were analyzed using descriptive statistics, the research questions and null hypothesis were answered and tested (at .05 level of significance) respectively using multiple regression and path analyses with the aid of SPSS v25 and Amos v22. Findings from the study established amongst others that; supervisory management and records management practices have a significant joint contribution to students’ academic performance by 66.4%, teachers’ job effectiveness by 71%, and principals’ administrative effectiveness by 86.8%. Supervisory management and records management practices had a significant influence on students’ academic performance (F= 1183.641, p<.05), teachers’ job effectiveness (F= 1465.615, p<.05), and principals’ administrative effectiveness (F=3924.763, p<.05). It was recommended amongst others that; secondary school principals should jointly use supervisory and records management practices as innovative techniques for improving students’ academic performance, teachers’ job effectiveness and their own administrative effectiveness. KEYWORDS:. (shrink)

The research aims to study the role of strategic and operational planning as approach for crises management in UNRWA - Gaza Strip field- Palestine. Several descriptive analytical methods were used for this purpose and a survey as a tool for data collection. Community size was (881), and the study sample was stratified random (268). The overall findings of the current study show that strategic and operational planning is performed in UNRWA. The results of static analysis show that (...) there are a relation between strategic and operational planning and crises management. In spite this relation existence, it need more improvement and expanding. Also there are shortcomings in the way that organization manages the crises before and after they occur. A crisis management is only practicing during the crisis. The study suggests that UNRWA must invest in more resources to enhance strategic and operational palming and improve other methods to face potential crises in the future. (shrink)

Aim: This study determined the relationship between the assessed conflict management and communication styles of the university leaders of Guangdong Business and Technology University in China towards a leadership development training program. -/- Methodology: This study adopted a descriptive quantitative- comparative- correlational research design. It was conducted during the second semester of school year 2021-2022. The data gathered were collated and treated using the Statistical Package for Social Sciences or SPSS software. -/- Results: Based on the results, (...) the most evident conflict management styles of the university leaders are the compromising, and collaborating styles which ranked first and second respectively among the five identified management styles. It can also be noticed that avoiding and accommodating styles were evident among the university leaders as assessed by the teachers, while competing style was given the lowest assessment by the respondents. An over-all mean values of 3.50 shows that the conflict management style of the university leaders is evident as perceived by the teacher respondents. -/- Conclusion: Compromising and collaborating styles of conflict management are the most evident styles among the university leaders. Older teachers have seen avoiding style of conflict management more evident in their university leaders, while least evident in the eyes of the younger ones. Aggressive communication style was most evident among the university leaders while passive style was the least as observed by the teachers. Older teachers have seen their leaders to be more assertive than how the younger ones have seen them. The way the educational leaders handle conflict management is affected by the way how they communicate with their subordinates. It can also be said that effective communication style is a factor in managing and solving conflicts in the workplace. (shrink)

The main objective of this paper was to examine the relationship between management of educational support services and the attainment of Universal Basic Education goals in Cross River State. Three null hypotheses were formulated in this study. The study adopted correlational research design. Census technique was employed in selecting the entire population of 2,078 primary school administrators in the state. The instruments used for data collection were “Management of Educational Support Services Questionnaire (MESSQ); and Attainment of (...) Universal Basic Education Goals Questionnaire (AUBEGQ)” respectively. The data collected were analyzed using descriptive statistics, while the null hypotheses were all tested using Pearson Product Moment Correlation Analysis at .05 alpha levels. The results from the study revealed that; management of guidance/counselling services, staff development services, and ICT services are significantly related to the attainment of Universal Basic Education goals respectively. Based on these results, it was recommended among others that; the ministry of education should ensure that there is adequate provision of professional guidance counsellors to every primary school in Cross River State in order to help address the psychological and persona-social needs of the pupils. Contribution/Originality:. (shrink)

Teaching while managing instructional workload is causal to the teaching-learning process. The study determined the teachers' instructional workload management to the teachers' teaching efficacy. It was conducted in a community college in Tangub City, Misamis Occidental. The descriptive-correlational design was used in the study. There were 15 program heads and 361 students who served as the respondents selected through a stratified random sampling technique. The researcher-made Teachers' Instructional Workload Management and Teachers' Teaching Efficacy Questionnaires were used as (...) class='Hi'>research instruments. Mean, Standard Deviation, and Pearson Product-Moment Correlation Coefficient were used as statistical tools to analyze the data gathered. Results revealed that the teachers were very good in their instructional workload management. The teachers' teaching efficacy was very high. Some aspects of the teachers' instructional workload management like the preparation of instructional materials influenced the teachers' administration of assessment tasks and classroom management. Their conduct of consultation also influenced the administration of assessment tasks. Moreover, their submission of academic reports influenced the administration of assessment tasks and school resource utilization. The workload management of teachers play a crucial role in shaping teachers' teaching efficacy. It is recommended for teachers to manage their workload proactively since it can impact their teaching efficacy. (shrink)

The exponential growth of data storage requirements has become a pressing challenge in hybrid cloud environments, necessitating efficient data deduplication methods. This research proposes a novel Smart Deduplication Framework (SDF) designed to identify and eliminate redundant data, thus optimizing storage usage and improving data retrieval speeds. The framework leverages a hybrid cloud architecture, combining the scalability of public clouds with the security of private clouds. By employing a combination of client-side hashing, metadata indexing, and machine (...) learning-based duplicate detection, the framework achieves significant storage savings without compromising data integrity. Real-time testing on a hybrid cloud setup demonstrated a 65% reduction in storage needs and a 40% improvement in data retrieval times. Additionally, the system employs blockchain for immutable logging of deduplication activities, enhancing transparency and traceability. This study concludes with an evaluation of the deduplication framework's impact on cost efficiency, system performance, and potential scalability. Future enhancements aim to integrate multi-cloud interoperability and advanced compression algorithms to further refine storage management. (shrink)

This study assessed classroom management variables and primary school system effectiveness in Calabar-South Local Government Area of Cross River State. Three null hypotheses were formulated to direct the study. The ex-post facto research design was adopted for the study. Census technique was employed in selecting the entire population of 525 academic staff (21 head teachers, 21 deputy head teachers, and 483 teachers) distributed across 21 public primary schools in the area of study. “Classroom Management Variables and School (...) Effectiveness Questionnaire (CMVSEQ) was the instrument used for data collection, with reliability estimates which ranged from .86 and .91 that were obtained through Cronbach Alpha technique. Collected data were analyzed using descriptive statistics, while the null hypotheses were all tested at .05 level of significance using Pearson Product Moment Correlation and One-Way ANOVA where applicable. Findings from the study revealed that public primary school system effectiveness in the area of study, was generally low; there is a significant relationship between classroom coordination and primary school system effectiveness; there is a significant influence of class size and classroom learning environment respectively, on primary school system effectiveness. Based on the findings, it was recommended amongst others that teachers be retrained in terms of classroom coordination and management, to enable them to acquire new techniques of classroom management, as well as the modification or elimination of obsolete ones. (shrink)

Cloud computing has transformed data management and storage by providing unmatched scalability, flexibility, and cost-effectiveness. However, rising cloud storage use has raised data security and privacy issues. As sensitive data being outsourced to third-party cloud providers, security is crucial. Traditional encryption methods secure data but make data recovery difficult. Specifically, efficiently searching encrypted data without compromising security is difficult.

Big Data is a large-sized and complex dataset, which cannot be managed using traditional data processing tools. Mining process of big data is the ability to extract valuable information from these large datasets. Association rule mining is a type of data mining process, which is indented to determine interesting associations between items and to establish a set of association rules whose support is greater than a specific threshold. The classical association rules can only be extracted from (...) binary data where an item exists in a transaction, but it fails to deal effectively with quantitative attributes, through decreasing the quality of generated association rules due to sharp boundary problems. In order to overcome the drawbacks of classical association rule mining, we propose in this research a new neutrosophic association rule algorithm. The algorithm uses a new approach for generating association rules by dealing with membership, indeterminacy, and non-membership functions of items, conducting to an efficient decision-making system by considering all vague association rules. To prove the validity of the method, we compare the fuzzy mining and the neutrosophic mining. The results show that the proposed approach increases the number of generated association rules. (shrink)