Aug 2026· Health Science Reports· Vol 9· 0 citations· 40 references
Medicine
Abstract
ABSTRACT Background and Aims Hypertension is a long‐term condition marked by consistently high arterial blood pressure. Hypertensive patients often experience altered serum albumin and uric acid, attributed to factors like inflammation, kidney damage, and the activation of the renin angiotensin aldosterone system. However, localized evidence regarding these biomarkers remains scarce within the Ethiopian context. This study aimed to assess the level of serum albumin and uric acid among hypertensive patients. Methods A comparative cross‐sectional study was conducted from March 1 to May 30, 2025, involving 232 study participants selected using systematic random sampling. Of these, 116 were patients with hypertensive and 116 were normotensives. Sociodemographic, behavioral, and clinical data were measured by structured questionnaires. Serum albumin and uric acid levels were measured by spectrophotometric principle. Data were analyzed using SPSS version 25 software. Descriptive statistics, independent t‐tests, and binary logistic regression were performed with significance set at p < 0.05. Results The mean age of the study participants was 46 ± 11.4 and 45 ± 11.6 for the case and control groups. There was a statistically significant difference in mean serum albumin and uric acid levels between the case and control groups. The prevalence of hypoalbuminemia and hyperuricemia among hypertensive patients were 25.9% (95% CI: 18.2%, 34.8%) and 23.3% (95% CI: 15.9%, 32%), respectively. Multivariable logistic regression showed hypertensive patients with albuminuria had 3.3 and 16.1 odds of developing hypoalbuminemia and hyperuricemia. Conclusion This study demonstrates that the prevalence of hypoalbuminemia and hyperuricemia was higher in hypertensive patients than the controls. Albuminuria was a significant predictor of hypoalbuminemia and hyperuricemia. This underscores the potential metabolic alterations that may be associated with hypertension. Thus, it is important to monitor these parameters in hypertensive individuals.
MAGE explains how externalized knowledge, bounded action, independent evaluation, and retained human authority can compose into a governed engineering environment, and proposes tests of when that environment turns commodity intelligence into durable engineering progress.
James C. Davis, Kelechi G. Kalu, Huiyun Peng et al.· 1 citation
LLMs are increasingly used for code generation, yet they frequently hallucinate non-existent software packages, creating exploitable entry points into the software supply chain. We make four contributions to this problem. First, we show that prior evaluation methodologies systematically inflate hallucination rates by misclassifying standard-library modules as hallucinations in some languages. For Python, the overestimation reaches 9.4 percentage points. Second, we evaluate seven inference-time defenses for mitigating package hallucinations, including five guided decoding strategies (Greedy, Contrastive, DoLa, Nudging, and Active Layer-Contrastive Decoding), an iterative self-refinement approach (Self-Refine), and a Retrieval-Augmented Generation (RAG)-based defense.. Across eight models spanning five families and four programming languages (Python, JavaScript, Ruby, Rust), RAG reduces the package hallucination rate (PHR) in 18 of 32 model--language configurations. Third, we introduce Package Utility (PU) to assess whether defenses preserve valid and task-relevant recommendations. Among strategies evaluated, Greedy decoding provides the strongest average mitigation--utility trade-off. Fourth, we stress-test all strategies under adversarial prompts seeded with fabricated package names and find that PHR surges by up to 45 percentage points relative to standard prompts, with Ruby consistently the most vulnerable language (80.9--95.2\%). Under adversarial conditions, RAG and Self-Refine outperform all decoding-only strategies, indicating that robust defense requires either external grounding or iterative self-verification when prompts are actively hostile. Our results recast package hallucination as both a measurement problem and a decoding-time control problem, and they demonstrate that the choice of defense must be matched to the threat model and recommendation utility.
Albérick Euraste Djiré, Iyiola E. Olatunji, Melissa Tessa et al.· 1 citation
HawkEye is introduced, a modular, web-based vulnerability auditing platform designed to streamline security analysis by integrating multiple scanning tools within a unified dashboard and illustrates how consolidated reporting improves vulnerability prioritization for development teams.
D. R. Patil, Varad Salgare, Devaj Arya et al.· International Journal for Re...· 0 citations
By streamlining workflows and fostering collaboration, this platform offers a scalable, cost- effective solution for SMEs and contributes to software engineering by demonstrating how integrated technologies can modernize development processes in resource limited contexts, with potential for broader adoption in Albania and beyond.
The findings of the present study indicated that potential complications such as delayed union, nonunion, and osteomyelitis in the intramedullary nailing method are approximately comparable to those of the external fixator method.
Reza Noktesanj, Ali Nami, F. Amani et al.· journal of Health Research a...· 0 citations
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