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Effects of carazolol on electrocadiographic and trace element status in sheeps

Published on: 9th April, 2018

OCLC Number/Unique Identifier: 7666282308

Carazolol is a non-specific β-adrenargic reseptor blocking agent. It ıs structurally analogous to catecholamins, in that, when administered, it forms reversible bonds with β-adrenergic, however, induce adrenergic effects, and it inhibits the actions of the catecholamins in times of stres by saturing their sites of operation. The purpose of the research was to investigate the effects of carazolol on some serum enzymes, trace elements and cardiovascular status in sheep. Seven sheeps (age 6 months, 35 ± 10 kg) were used in this study. Carazolol administered by the intramuscular route at the dose of 0.01 mg/kg. Serum levels of urea, creatinin, ALT, AST, G-GT, LDH, T. protein, Ca, P, Mg, Cu, Fe, Zn, Se were investigated. Although all serum enzymes did not show any difference, serum Fe and Zn levels were decreased. Important results were obtained in electrocardiography (abnormal T wave and ST segment depression). These results suggest that carazolol may increase incidence rate of myocardiyal ischemia risk in sheeps and it investigated by new researches.
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Traffic-informed Pavement Performance Prediction and Maintenance Prioritization Using the Pavement Condition Index: A Case Study from Afghanistan

Published on: 27th August, 2026

Road infrastructure serves as the primary medium of economic and agricultural transportation in developing countries. Afghanistan’s district roads play a critical role in connecting rural production centers to markets; however, systematic maintenance is often hindered by inadequate funding, lack of structural monitoring, and climatic deterioration. This research develops pavement condition assessment and deterioration prediction models using Pavement Condition Index (PCI), pavement age, characteristic rebound deflection (Dc), and Average Annual Daily Traffic (AADT). Multiple regression models were generated based on recorded field data across six district road sections in Herat Province. Regression coefficients demonstrated high goodness of fit (R² = 0.964 – 0.992), indicating reliable predictive capability. Based on PCI-based prioritization, maintenance strategies were ranked and scheduled under budget constraints. Results indicate that Sections D01 and D02 urgently require rehabilitation due to structural fatigue and distress propagation, while other sections can be preserved through preventive maintenance. This study provides a scientifically supported PMS framework for Afghan district roads, enabling optimized resource allocation, deterioration forecasting, and long-term serviceability planning.
Cite this ArticleCrossMarkPublonsHarvard Library HOLLISGrowKudosResearchGateBase SearchOAI PMHAcademic MicrosoftScilitSemantic ScholarUniversite de ParisUW LibrariesSJSU King LibrarySJSU King LibraryNUS LibraryMcGillDET KGL BIBLiOTEKJCU DiscoveryUniversidad De LimaWorldCatVU on WorldCat
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