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Epidemiological Characteristics of Chronic Renal Failure Patients of Hodeidah, Yemen in 2023
Chronic renal failure (CRF) is an emergent worldwide public health problem. The increasing incidence of CRF warrants a need for an epidemiological approach to better understand the disease and its prevention. Therefore, the study aims to describe the epidemiological characteristics of chronic renal failure patients in Hodeidah, Yemen. The study included 560 patients with CRF in retrospective study (a case series based on medical files) in Center of Dialysis and Renal Diseases of Hodeidah, Yemen from 1st January 2023 to 31st December 2023. The patients were diagnosed based on evidence – based clinical practice guideline of all stages of CRF that was extracted from the National Kidney Foundation Kidney Disease Outcomes Quality Initiative (NKFKDOQI). Epidemiological data were reported with ethical approval consideration, data obtained were analyzed. 560 cases were diagnosed with renal failure, 555 patients (99.107 %) of them were diagnosed with CRF and 5 patients (0.89 %) were diagnosed with acute renal failure (ARF). CRF patients was founded 61.81 % in the males while 38.11 % in the females. However, this difference was statistically significant (X2= 30.921; p < 0.00001). The age range of patients was from 5 to 95 years, where 54.64% of cases occurred more than 50 years then 39.28 % between 18 to 49 years and the lower frequency was in children less than 18 years (5.22%) with different significant ( X2= 226.314 ; p < 0.00001). In addition, 81.98 % of patients in rural and 18.02 % in urban. The maximum cases were reported in summer session namely 13.21 % in July and 11.25 % in August. On the other hand , the major causes were chronic diseases 406 case (73.14 %) that diagnosed and recorded , 161 case (29 %) of hypertension ,132 case (23.78 %) of diabetes , 113 (20.36 %) of inflammation nephrolithiasis obstructive uropathy , 8 cases (1.44 %) of genetic polycystic renal disease , and 4 cases ( 0.72 % ) of sedative narcotic addiction and 137 case (24.68%) of unknown causes with different significant ( X2= 119.00 ; p < 0.00001). The chronic diseases namely diabetes and hypertension were the major causes reported to develop the CRF, therefore, to prevent the development of CRF based on center for control diseases and control (CDC), managing risk factors
Data Security and Privacy in Genomics Research: A Comparative Analysis to Protect Confidentiality
The quick progress of genomics examination has driven a surge in the creation of significantly fragile genomic data, making ensuring its security essential. This data contains sensitive information roughly an individual's prosperity, family history, and defencelessness to ailments. Unauthorized access or mishandling can lead to isolation, stigmatization, and mystery breaches. The potential threats to genomic data affirmation are multifaceted, checking the chance of re-identification and extended defense lessness to data breaches, hacking events, and unauthorized get to by harmful actors. To address these challenges, a multifaceted approach is required, tallying solid privacy-preserving methods, securing data capacity, and transmission sharpens, and getting to controls. Encryption techniques, differential security methods, and secure multiparty computation offer promising streets for securing genomic data while progressing collaborative ask approximately. Establishing clear authority frameworks and rules for data management, capacity, and sharing is essential to reduce security threats in genomics research. Collaboration between researchers, policymakers, industry partners, and support groups is essential for developing comprehensive methods to protect genomic data security. By prioritizing security concerns and executing effective safeguards, the community can uphold individuals' rights, maintain open acceptance, and drive advancements in genomics research for the betterment of society
Acceptance of artificial intelligence technologies in business management, finance, and e-commerce: factors, challenges, and strategies
This research investigates the comprehensive acceptance of artificial intelligence (AI) in business management, finance, and e-commerce, focusing on the factors driving its adoption, the obstacles encountered, and strategies for enhancing integration. AI technologies have transformed these sectors, delivering exceptional efficiencies, predictive analytics, and personalized customer experiences. However, their acceptance is influenced by various factors, including technological readiness, organizational culture, and perceived benefits. In business management, AI improves decision-making processes, optimizes operations, and fosters innovation. Financial institutions utilize AI for risk management, fraud detection, and personalized banking services, while the e-commerce sector gains from AI through enhanced customer service, dynamic pricing, and inventory management. Despite these benefits, challenges such as data privacy concerns, high implementation costs, and resistance to change impede widespread adoption. Additionally, ethical considerations and the need for regulatory compliance add layers of complexity. This paper identifies key strategies to address these challenges, such as promoting a culture of innovation, investing in AI education and training, and developing robust data governance frameworks. Strategic partnerships and collaborations with AI experts and tech firms are also essential for navigating the AI landscape. By comprehensively addressing these factors and challenges, businesses can unlock AI's full potential, driving sustainable growth and competitive advantage. This study contributes to understanding AI acceptance in critical sectors, providing a roadmap for successful AI implementation and emphasizing the importance of strategic planning and stakeholder engagement
Present Perfect Tense in Arabic and English: A comparative Analysis
Arabic and English are members of distinct linguistic families. Arabic is a member of the Semitic group. This language has been synthesized. The Indo-European language family includes English. Commonly, it is an analytical and synthetic language. This study delves into an analytical analysis of the forms and usage of the present perfect tense (PPT) in Arabic and English based on the contrastive analysis theory (CA). The study utilized the descriptive-qualitative method to compare and analyze the data in this tense. The data utilized in this study were obtained from both prior and recent research. Based on the analysis, a tensional discrepancy exists between the Arabic and English languages, specifically concerning the present perfect tense. In Arabic, in contrast to English, it employs a variety of particles and adverbials to denote temporal reference. The perfective aspect in Arabic conveys abstract temporal characteristics. The formation of the present perfect tense in Arabic involves the use of the particles /qad or laqad/ before the perfective verb. On the other hand, English present perfect tense is constructed by combining the subject with the auxiliary verb “have” or “has” and the past participle form of the main verb. Finally, the realization of this particular tense in the English language poses a significant challenge due to the absence of a clear translation or equivalent in other linguistic systems, especially Arabic
Are journalists truly safe? Communicating the Risks Faced by Investigative Journalists in Nigeria
This study examined the risks faced by investigative journalists in Nigeria. The Hazard Barrier Target Model was used as the theoretical foundation for this investigation. The study adopted a descriptive survey research design, in which 353 journalists in Nigeria were surveyed through a Google questionnaire. Results showed that some of the risks journalists face are physical threats and violence, loss of job and other traumatic situations, risk of legal battles, intimidation, and harassment, among others. Results also showed that some of the impacts of the risks faced by investigative journalists in Nigeria include self-censorship, low engagement in the act of investigative journalism, poor quality of reports on issues worthy of in-depth investigation, and social and professional isolation. It was concluded that journalists agreed that the identified risks in the study are some of the risks investigative journalists in Nigeria face in the course of their job and that these risks they encounter to a large extent on a frequent basis, as such it has led to negative impacts on investigative journalism practice in Nigeria. The practical, policy, and scholarly implications of the study were highlighted
THE POWER OF EDUCATION IN SHAPING DEMOCRATIC CITIZENSHIP AND GOOD GOVERNANCE
Education is a fundamental pillar in the establishment and sustenance of democratic societies. This study explores the intricate relationship between education, democratic citizenship, and good governance. By examining various educational frameworks and their impact on civic engagement, political awareness, and governance quality, the research underscores the transformative power of education in fostering democratic principles. The analysis is grounded in theoretical perspectives and empirical evidence drawn from diverse contexts. It highlights how education promotes critical thinking, informed decision-making, and active participation in democratic processes. Moreover, the study delves into the role of education in cultivating a sense of civic responsibility and ethical governance among citizens.
Key findings reveal that comprehensive educational systems that emphasize civic education, human rights, and democratic values significantly contribute to the development of informed and engaged citizens. Such citizens are more likely to demand accountability, transparency, and ethical behavior from their leaders, thereby enhancing governance quality. The study also addresses challenges such as educational inequality and access disparities that hinder the full realization of education’s potential in democratic consolidation. Policy recommendations are offered to strengthen educational strategies that support democratic citizenship and good governance
Fixed points of generalized integral type α−F contraction mappings in metric-like spaces
This article focuses on generalized integral type α − F contraction mappings in metric-like spaces and certain fixed point results in this setting. We also present some examples to support the validity of the results
Modeling the Transmission Dynamics of Avian Influenza in Cattle
Avian Influenza (AI) poses a critical threat to cattle production worldwide, resulting in significant yield losses and economic damages. Despite the severity of AI, comprehensive modeling studies on its transmission dynamics within cattle populations remain limited. In this study, we present a mathematical model to describe the spread of AI among cattle. The model is based on the Susceptible-Infectious-Recovered (SIR) framework, adapted to capture the unique characteristics of AI transmission. The disease-free equilibrium of the model was computed, and the basic reproduction number for AI was calculated using the next-generation matrix method. Sensitivity analysis was conducted using normalized forward sensitivity method to determine the impact of various parameters on the basic reproduction number (). Analytical and numerical analyses indicate that increased contact rates between susceptible cattle and infected virus significantly raise the transmission rate of AI, impacting cattle health and productivity. Sensitivity analysis highlights that the recruitment rates of cattle and infection rates are the most influential parameters affecting . Control measures such as introducing AI-resistant cattle breeds and improving farm management practices to reduce infection rates may be used to mitigate the disease spread. This study enhances the understanding of AI transmission dynamics, providing valuable insights for developing targeted control strategies to protect cattle health and improve production
The English-Hausa Translations of Legal Terminology: Reflection of Legal System Evolution in Northern Nigeria
Abstract:
This paper analyzes the translation of legal terminology from English to Hausa, focusing on how the technical register reflects the evolution of the legal system in Northern Nigeria. The study suggests that the technical register of each profession in the lexicon serves as a historical tapestry, revealing the development narrative. Traditional vocations in Hausa exhibit limited loan words, highlighting their enduring roots in Hausa heritage. In contrast, modern professions like science and technology incorporate numerous English loan words, reflecting globalization's impact. Religious terminology in Hausa contains Arabic loan words, indicating the predominant religious influence. Notably, legal terminology in Hausa shows a unique linguistic fusion, blending indigenous terms with loan words from Arabic and English. This linguistic interplay reflects a balanced tapestry, where the three languages contribute proportionately to the legal terminology and, therefore, mirror the cultural and historical dynamics of Northern Nigeria
Khayyam’s Quatrains as Fitzgerald’s Rubẚiyat: Translation as Ideological Misrepresentation
Research studies from around the globe on Omar Khayyam’s Persian quatrains and their translation into English by the poet, writer, and translator Edward Fitzgerald, are in abundance. Researchers are, in general, in praise of the translation and give credit to Fitzgerald for making Khayyam a world-renowned poet. However, the translation has rarely been approached from a socio-political perspective or a look into Fitzgerald’s ideological manipulation of the original. The present research study investigates two issues with Fitzgerald’s translation- ideological manipulation and selective translation. The study also looks into Khayyam’s life and his works. It probes into the effects this translation left on the literary scene. The study involves a comparative literary translation analysis to compare and contrast the elements found in Fitzgerald’s translation and two Arabic translations. Employing Lefevere’s (1992) theory of ‘translation as rewriting,’ this paper assesses the extent to which a translator’s ideology can lead to a misrepresented product of translation (Lefevere, 1992). The study adopts textual analysis as a research method to capture the epicurean elements recurrently emphasized by Fitzgerald in his translation.