The Level of Emotional Intelligence and Its Association With Self-Efficacy among Jordanian Nurses in Public Hospitals Original Research Article Country Jordan
Emotional intelligence (EI) and self-efficacy are important psychological factors affecting nurses’ performance and well-being in health care settings This study examined the relationship between EI and self-efficacy in Jordanian nurses working in public hospitals.
Methods:A cross-sectional study was conducted among 181 nurses at Princess Basma Educational Hospital and King Abdullah University Hospital in Jordan. Participants completed a self-report measure of emotional intelligence using the Schutte Self-Report Emotional Intelligence Test (SSEIT) and self-administered the General Self-Efficacy Scale (GSE). Descriptive statistics, Pearson correlation analysis and review of relevant literature were used for data analysis. Results: The findings revealed a significant positive correlation between emotional intelligence and selfefficacy among Jordanian nurses (r = 0.567, p < 0.05). Nurses with greater emotional intelligence were more likely to report greater confidence in their ability to manage difficult situations and provide quality care to patients.
Conclusion: The findings of this study highlight the link between emotional intelligence and self-efficacy among Jordanian nurses, highlighting the importance of developing emotional intelligence skills to enhance nurses’ ability to practice emphasis on increasing efficiency and improving their overall well-being and productivity in health care settings.
Development of A Hybrid Network Intrusion Detection Using Machine and Deep Learning Algorithms Original Research Article Country Nigeria
Pages 12-24
Udoawujo Bismarck Maduagwu (Engr) || Prof Joseph. M. Mom || Engr. Dr. Iorkyase
This paper proposes a hybrid approach to Intrusion Detection Systems (IDS) by combining machine learning algorithms with signature-based methods. The study explores how the integration of Long Short-Term Memory (LSTM), Support Vector Machine (SVM) and Artificial Neural Networks (ANN) with traditional signature-based detection can offer a more robust solution to cybersecurity challenges. The hybrid model addresses both known and unknown threats, leveraging the strengths of each technique. Through data collected from network traffic logs, this paper demonstrates how the hybrid IDS can enhance accuracy and adaptability in detecting malicious activity.
Quantum Computing and Its Implications for Cryptographic Security Original Research Article Country China
This paper explores the profound impact of quantum computing on cryptographic security, highlighting both the theoretical vulnerabilities of existing systems and the potential for quantum-resistant solutions. As quantum computers progress, they pose significant risks to widely-used cryptographic algorithms like RSA, ECC, and AES, which form the backbone of digital security. Key quantum principles such as superposition, entanglement, and quantum gates are examined, alongside quantum algorithms like Shor’s and Grover’s, which threaten the integrity of classical cryptography. The paper reviews the ongoing research into post-quantum cryptography, focusing on quantum-resistant algorithms including lattice-based, hash-based, and code-based methods. A systematic literature review is conducted to identify current trends, challenges, and performance benchmarks for proposed quantum-safe algorithms, such as Kyber, Dilithium, and Rainbow. Additionally, the paper delves into the practical considerations of quantum hardware development and the feasibility of real-world quantum attacks. Research gaps, including the absence of practical quantum computers for testing and the lack of global standardization, are discussed. The paper concludes by emphasizing the urgency of transitioning to post-quantum cryptography and proposing a collaborative roadmap involving academia, industry, and policymakers to ensure a secure digital future.
Effect of Fermentation Duration and Coconut Fiber-Banana Peel Ratio on Characteristics of Liquid Organic Fertilizer Original Research Article Country Indonesia
Pages 35-40
Ni Wayan Melly Kartikadewi || Yohana Harliyanti || I G. A. Lani Triani || Nyoman Semadi Antara
Coconut and banana plants play a significant role in Balinese customs and religious practices. The waste generated from their use primarily consists of coconut fiber (35%) and banana peel (40%). This study aimed to produce liquid organic fertilizer by varying the fermentation duration and the ratio of coconut fiber to banana peel to assess their effects on the resulting characteristics. The study followed the standards outlined in the Decree of the Minister of Agriculture Number 261/KPTS/SR.310/M/4/2019. A factorial randomized block design was used with two factors: fermentation duration (14, 21, and 28 days) and coconut fiber-banana peel ratios (1:0, 1:15, and 1:30). The findings indicated that fermentation duration and the coconut fiber-banana peel ratio had no significant impact on pH but significantly affected NPK content. Fermentation duration significantly influenced temperature, while the fiber-peel ratio significantly impacted organic carbon content. The pH and organic carbon content did not meet the Decree of the Minister of Agriculture standards, but temperature (average 25.69℃)meet an aerobic fermentation standard (in the range of 3℃-70℃) and the NPK content meets the specifications of the Decree of the Minister of Agriculture in several treatments namely F1A1 2.73%, F1A2 2.51%, F1A3 2.56%, F2A3 2.35%, and F3A3 2.61%.
The Impact of Foreign Direct Investment on Income Inequality in Asian Countries Original Research Article Country Vietnam
Pages 41-50
Nguyen Thi Thuong || Vu Thi Anh Ngoc || Ngo Hoang Tung || Nguyen Quang Truong || Nguyen Thanh Loan || Tran Lan Anh
This study examines the impact of foreign direct investment (FDI) on income inequality in Asian countries using panel data from 47 nations, with 460 observations spanning the period from 2008 to 2022. The analysis employs the Pooled OLS regression model, incorporating dummy variables and interaction terms to assess the effects across different country groups: developing, developed, and least-developed economies. The results indicate that FDI positively correlates with income inequality across all three groups, with the strongest impact observed in developing countries. Furthermore, institutional quality significantly influences the distribution of benefits derived from FDI. Based on these findings, the study proposes policy recommendations to ensure sustainable development by mitigating income inequality while pursuing FDI attraction policies.
Microfinancing and Poverty Alleviation in Arid Areas of Kitui County Original Research Article Country Kenya
Poverty is a menace that has affected humanity across the globe for a long period of time and its eradication is important. A number of countries have established several institutions to act as vehicles for alleviating poverty. Poverty reduction remains a top priority on Kenya’s development agenda and the country is committed to the realization of Millennium Development Goal and elimination of poverty by 2030. This study seeks to investigate the effect of microfinancing on poverty alleviation in arid areas of Kitui County. The specific objective of this study was to determine the influence of microcredit on poverty alleviation in Kitui County. The research was informed by Classic Microfinance Theory of Change. Mixed method research design was used with quantitative and qualitative data applied for analyses. Target population comprised of 5669 members of the six microfinance institutions in Kitui County. Stratified random sampling method was used to come up with 460 members who comprised the sample size. A structured questionnaire was developed and used for data collection. Inferential statistics were obtained from regression analysis which entailed normality test, multicollinearity test, model fitness, model specification and test of hypothesis done at 95% confidence level. These assisted in making the decision on whether to reject or accept null hypotheses. The study’s null hypotheses was rejected. The conclusions were based on the study findings and recommendations derived. The study found out that microcredit has a statistically significant influence on poverty alleviation. The study concluded that microcredit influences alleviation of poverty that in cases where the amount received as loan is used for the intended purpose to uplift the living standards of members of the microfinance institutions. The study recommends that microfinance institutions should be encouraged to lower the lending interest rate by mobilizing savings in the informal sectors of the economy to improve access to finances. The study also recommends the microfinance institutions train their members on proper financial planning and to ensure that the money lend out is used for the intended purpose.
Bugs and Risks in Blockchain Technology Usage Original Research Article Country Israel
Blockchain technology has revolutionized multiple industries by offering decentralized and secure solutions for financial transactions, smart contracts, and data management. However, it also presents significant challenges, including security vulnerabilities, scalability limitations, regulatory uncertainties, and environmental concerns. This paper explores the key risks associated with blockchain technology, including coding errors, cyberattacks, human factor risks, and legal ambiguities. Additionally, it highlights potential solutions and best practices to mitigate these risks, ensuring the continued development and adoption of blockchain-based systems. The findings underscore the importance of security audits, regulatory clarity, and sustainable innovations in enhancing blockchain resilience.
Effect of Comparison of Cocoa Peel Powder with Ylang Ylang Flower Extract (Cananga Odorata) and Strirring Time on the Characteristics of Body Scrub Cream Original Research Article Country Indonesia
Pages 62-69
Anak Agung Sagung Istri Mirah Aryeswari Yunantara || Gusti Putu Ganda Putra || Ni Putu Suwariani
Body scrub cream is a part of the cream preparation that has a thick texture and is not runny. The process of making a good body scrub cream preparation can be influenced by the raw materials and mixing time. This study aims to determine the effect of the ratio of cocoa husk powder to ylang-ylang flower extract and the mixing time on the characteristics of body scrub cream and to determine the ratio of cocoa husk powder to ylang-ylang flower extract and the best stirring time to make body scrub cream. This research used a factorial randomized block design (RAK) method with 2 factors. The first factor is the ratio of cocoa pod husk powder to ylang-ylang flower extract 1:1; 2 : 1; and 3 : 1. The second factor is the mixing time with a time variation of 5 minutes; 15 minutes; and 25 minutes. The observation variables are water content, pH, viscosity, spreadability and organoleptics. The results of the research showed that the comparison of cocoa fruit shell powder with ylang ylang flower extract and the stirring time had a very significant effect on the water content, viscosity and spreadability of the body scrub cream preparation. The interaction between the two treatments had a significant effect on the water content, pH and spreadability of the body scrub cream preparation. The ratio of cocoa husk powder to ylang-ylang flower extract 1:1 with a stirring time of 15 minutes is the best treatment in making body scrub cream products, with characteristics of 33.75% water content, pH 7, viscosity 33,750 cp, spreadability 6.28 cm, color organoleptic 6.30 (liked – very liked), aroma organoleptic 6.15 (liked – very liked), and organoleptic texture 6.10 (liked – very liked).
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