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Crossed fused renal ectopia with herniation into the scrotum: A cadaveric case report
No full textBackground: Congenital kidney anomalies, such as horseshoe kidney and unilateral renal agenesis, are rare, occurring in 0.2% and 0.1% of live births, respectively. Vesicoureteral reflux, affecting 1-3% of children, is more common and often associated with recurrent urinary tract infections.
Methods: During routine dissection of a whole-body donor, a rare case of a right-sided renal ectopia with suspected scrotal herniation was observed. The donor, a 108-year-old white male with a history of arrhythmia, lacked a left kidney with no evidence of nephrectomy.
Results: The remaining kidney was ectopically located in the right iliac fossa, with its inferior pole terminating at the inguinal ligament. The parenchyma was embedded superiorly within the psoas major muscle and extended inferiorly into the scrotal sac. Fascial attachments to perinephric fat were observed, with the fat herniating into the scrotum. Within the scrotum, the perinephric fat and its fascial connections were fused with the right testicle, which had an elongated vas deferens. The kidney appeared to be fused, with evidence of a shared blood supply and ureter configuration consistent with a crossed fused renal ectopia.
Conclusion: This study identifies a unique case of a pelvic kidney with perinephric fat herniation into the scrotum, immobilizing the kidney. It highlights the complex interplay between urinary and reproductive anatomy and underscores the importance of recognizing such variations. These can impact renal function, fertility and surgical outcomes. Greater awareness of these anomalies can improve diagnostic accuracy and inform clinical decision making
Role of Quality Assurance in DevOps: Bridging the Gap Between Development and Operations
Get PDFThe way we incorporate Quality Assurance (QA) into DevOps has come a long way. It is no longer just a step that happens after development; now, it is a continuous, smart process that flows throughout the entire software delivery lifecycle. This study explores how blending AI and machine learning techniques with modern QA practices can make a real difference, drawing on data from various production environments. The results are impressive: we found that defect density dropped by as much as 64.2%, the average time to repair issues fell by 42.1%, automated test coverage increased by 39.1%, and deployment success rates went up by 16.6%. By employing model-driven strategies like predicting build failures with XGBoost, generating intelligent test cases using CodeT5, and detecting anomalies through Isolation Forest, our integrated framework is able to spot risks early, enhance test execution, and speed up the release process. When we compared these outcomes to our benchmarks before the integration, it became clear that AI-enhanced QA not only reduces production defects and rollback incidents, but it also helps eliminate the bottlenecks typical of traditional QA methods. These study revealed the game-changing potential of self-healing, predictive QA systems for handling scalable, high-frequency release cycles. Nevertheless, it is important to note some trade-offs, such as the added complexity of maintaining test suites and the impact on pipeline execution time
The Effect of Vulnerability in Conflict Situations on Economic Growth: Using the Twelve Conflict Risk Indicators
Get PDFThis paper investigates the impact of multidimensional conflict risk on economic growth across 168 countries from 2007 to 2021, using twelve indicators from the Fragile States Index (FSI). Employing a quantile regression approach, the study captures the heterogeneous effects of fragility across different points of the GR distribution. To address potential multicollinearity among the indicators, Principal Component Analysis (PCA) is used to construct uncorrelated composite indices that represent institutional quality, socio-economic pressures and security-related vulnerabilities. The results reveal that conflict-related fragilities exert a consistently negative impact on GR, with stronger effects observed in countries at the lower and median quantiles of the GR distribution. The Granger-based predictive analysis further suggests the presence of significant feedback relationships between GR and various fragility dimensions. The findings emphasize that political instability, poor public service delivery, human rights violations and economic exclusion are critical constraints to sustainable development. This study contributes to the literature by integrating a multidimensional fragility framework with a distribution-sensitive econometric method. Policy recommendations include the promotion of inclusive governance, institutional transparency and investment in human capital to mitigate conflict risks and foster long-term GR
External Auditors’ Fraud Risk Judgment: Do Professional Scepticism and Reliance on Internal Auditors Matter?
Get PDFRecent financial scandals have intensified scrutiny on auditors’ ability to detect fraud, especially in Malaysia’s digital audit environment. This study investigates the effect of professional scepticism and reliance on internal auditors on external auditors’ fraud risk judgment. Grounded in Social Cognitive Theory (SCT), a survey of 120 Malaysian external auditors was analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). Findings indicate that professional scepticism significantly influences fraud risk judgment. Notably, reliance on internal auditors demonstrated a negative association with fraud risk assessment outcomes, suggesting that excessive dependence on internal audit functions may inadvertently impair external auditors’ judgment. Although the relationship does not reach conventional levels of statistical significance, its negative direction highlights a potentially consequential risk of overreliance that warrants closer examination in future research. Practically, the findings suggest that audit firms should strengthen professional scepticism through targeted, judgment-oriented training that promotes active information seeking and critical evaluation of audit evidence. Scenario-based training that requires auditors to reconcile technology-generated outputs with conflicting evidence may help mitigate uncritical reliance on automated recommendations. In addition, the negative association between reliance on internal auditors and fraud risk judgment underscores the need for more structured reliance practices, including formal evaluation of internal audit objectivity and competence and mechanisms that encourage constructive challenge during external internal auditor interactions
Advancements in Targeted Drug Delivery: Innovations in Liposomal, Nanoparticle and Vesicular Systems
Get PDFTargeted drug delivery has become a miraculous tool in the new millennium of medicine to deliver the greatest therapeutic action, minimize systemic side effects and attain site-specific drug activity. This review offers advances in liposomal, nanoparticle and vesicular drug delivery systems with emphasis on their capacity for maximal bioavailability and regulation of drug release. There has been controversy over the use of some of these other carriers such as tablet formulations, proniosomes and other age-new carriers. Introduction of nanotechnology with biodegradable items and use of artificial intelligence has added new dimensions to patient-specific medicine based on the patient's need.
In spite of these developments, regulatory problems, biocompatibility and scale-up manufacture are concerns that persist as barriers to universal clinical use. Some of the recent technologies such as 3D-printed pharmaceuticals, stimuli-responsive nanocarriers and drug design using artificial intelligence have the potential to bypass these concerns. Future direction is also set here in the focus on the application of green drug delivery concepts, precision medicine and combination regimens in setting the future of targeted drug delivery systems. Through ongoing research and technology development, these technologies are poised to revolutionize medicine by maximizing therapeutic effect, reducing side effects and maximizing drug delivery
Strengthening India's Adaptation Finance: Introducing the National Adaptation Finance Framework
Get PDFIndia faces significant climate risks due to its geographical and socio-economic vulnerabilities. Current financial frameworks for adaptation, such as the National Adaptation Fund for Climate Change (NAFCC), are insufficient to address the growing demand for resources. This research highlights the need for a National Adaptation Finance Framework (NAFF) to enhance financial resource allocation, stakeholder coordination, and mobilization of diverse funding sources. The objective is to design a robust, inclusive, and sustainable NAFF to address adaptation finance gaps, streamline resource allocation, and ensure that the most vulnerable communities receive adequate support. The study uses qualitative methods, including literature reviews, secondary data analysis, and case studies of international adaptation finance frameworks. It identifies barriers to adaptation finance in India, such as bureaucratic inefficiencies, private sector disengagement, and regional disparities, while benchmarking global best practices to inform the proposed framework. The research finds that India requires approximately $206 billion annually by 2030 for adaptation needs, with current funding addressing less than 10% of the requirement. Sectoral gaps, insufficient private sector involvement, and misaligned funding priorities exacerbate vulnerabilities. The proposed NAFF incorporates innovative financing tools, equitable resource distribution, and community-driven strategies, aligned with global mechanisms like the Green Climate Fund (GCF). A well-designed NAFF can bridge India's adaptation finance gap, leveraging public and private resources while ensuring transparency and inclusivity. By fostering collaboration across sectors and levels of governance, the framework can enhance climate resilience and contribute to sustainable development goals. This research provides a blueprint for addressing India's adaptation finance challenges and advancing its climate resilience agenda through a strategic and inclusive national framework
Trends in Pancreatic Cancer Related Mortality: A Retrospective Analysis using CDC WONDER Database
Get PDFBackground: Pancreatic cancer is 8th most prevalent cancer in the United States with a very high mortality rate. Understanding the epidemiology of Pancreatic cancer is important in identifying the causes and developing preventive strategies.
Methodology: Data from the death certificates spanning from 1999-2020, sourced from CDC WONDER (Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research) was analyzed. To quantify national annual trends in pancreatic cancer-related mortality, the Joinpoint Regression Program was used to determine the annual percent change (APC) with 95% CI in age-adjusted mortality rates (AAMRs) per 100,000 people for all ages stratified by year, gender and regions.
Results: Pancreatic neoplasm claimed about 847,589 lives across all age groups in the US from 1999-2000. The AAMR for pancreatic cancer peaked at 2020 with 11.7 [APC 0.2275 95% CI: 11.6-11.8]. The AAMR for pancreatic cancer-related deaths was 11(95%CI: 10.9=11.1) in 2003 and it increased to 11.3(95%CI: 11.2-11.3) in 2006 (APC 0.87* 95%CI: 11.2-11.4). Men had consistently higher AAMRs than women across all age groups throughout the study period of 1999-2000 (overall AAMR men: 13.2 (95% CI: 13.1-13.2); overall AAMR women: 9.9 (95% CI: 9.9-10)). Geographically; the lowest mortality was displayed by the Western regions (AAMR 10.5, 95% CI: 10.2-10.7), followed by Southern (AAMR 11.1, 95%CI: 10.9-11.4), followed by Midwestern (AAMR 11.7, 95%CI: 10.9 -11.4), followed by Northeast region (AAMR 11.9, 95%CI: 11.6-12.1).
Conclusion: We observed an overall annual increase in mortality trends related to pancreatic cancer especially in men and certain regions like Northeast region of the United States. These results emphasize the immediate necessity for a comprehensive strategy to address this lethal illness, encompassing breakthroughs in medical research, focused public health initiatives, and extensive governmental reforms
Nanotechnology : Challenges and Applications in Nano Medicine
Get PDFIn recent years, nanotechnology—a synthesisof various scientific and technological fields—has advanced significantly and is seen to becrucial to the transformation of the health careindustry. It has the potential to revolutionizea number of illnesses and conditions, tailoredmedication delivery, drug research, anddiscovery
Unveiling a Novel Frontier: Exploring Creatine Applications in Diabetes Management
Get PDFIn the dynamic realm of diabetes management, the quest for innovative strategies continually evolves. This article embarks on an exploration of a groundbreaking frontier, introducing a new approach that extends beyond conventional paradigms. We delve into the intriguing intersection of creatine applications and diabetes care, unveiling a novel perspective that holds potential to redefine how we approach the multifaceted challenges posed by this metabolic condition. Traditionally renowned for its role in enhancing muscular energy metabolism, creatine has emerged from the realms of sports nutrition to captivate the attention of researchers and practitioners alike in the field of diabetes management. This paradigm shift invites us to reconsider the scope of creatine supplementation, moving beyond its established association with athletic performance to explore its nuanced impact on glucose regulation and insulin sensitivity in individuals grappling with diabetes. As we navigate this uncharted territory, this article aims to provide a comprehensive overview of the intricate interplay between creatine and diabetes, weaving together current research findings, emerging treatment trends, and the potential synergies that could shape the future of diabetes care. From the molecular intricacies of energy metabolism to the broader landscape of contemporary diabetes treatments, our exploration seeks to illuminate a path towards a more holistic and personalized approach to diabetes management
Nonlinear Curve Fitting to Measurement Points with WTLS Method Using Approximation of Linear Model
Get PDFThe paper presents an approximate method of fitting measurement points to parameterized arbitrary nonlinear curves described by complex equations, even implicit ones, the most commonly used method of least squares in general WTLS. An approximation of a linear model is used here, in which the laws of propagation of error and propagation of uncertainty are true, so that only the first derivative of the transforming function is relevant. The effectiveness of the method has been demonstrated in several numerical examples. The method was verified on several nonlinear functions using the iterative algorithm by Monte Carlo propagation of distribution and the classical method based on the Levenberg-Marquardt algorithm for nonlinear optimization