Noise is pervasive in everyday life and can cause both auditory and nonauditory health effects. Noise-induced hearing loss remains highly prevalent in occupational settings. Nonauditory effects of noise can cause tinnitus, headache, auricular plenitude, dizziness, and gastric, visual, sleep, and mood disorders, endocrine imbalance, and cardiovascular disorders. A cross-sectional study among resident above the age of 18 years of the selected urban slum near railway track of Raipur City with a sample size of 400 was conducted. 23.0% of the study subjects responded of facing auditory fatigue, followed by 11.5% of the study subjects reported of hearing loss, 6% of the study participants perceived that the surrounding noise led to an increase in their blood pressure. Loss of sleep/insomnia was reported by 6% of resident in our study. Health effects of environmental noise are manifold, serious and, because of the widespread exposure, very prevalent. These factors stress the need to regulate and reduce environmental noise exposure.
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http://dx.doi.org/10.4103/jfmpc.jfmpc_1029_19 | DOI Listing |
J Family Med Prim Care
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Department of Community and Family Medicine, AIIMS Raipur, Chhattisgarh, India.
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Department of Radiology, Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. Electronic address:
Research on thiazole derivatives has been a popular topic in medicine and one of the most active fields in heterocyclic chemistry. Pharmacological and industrial researchers have been studying thiazole-containing derivatives in great detail because they have a lot of biological uses. These compounds are one of the best examples of a five-membered heterocyclic compound that has a lot of potential and has had a lot of success in recent decades.
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Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan City 320315, Taiwan.
Accurate classification in cancer research is vital for devising effective treatment strategies. Precise cancer classification depends significantly on selecting the most informative genes from high-dimensional datasets, a task made complex by the extensive data involved. This study introduces the Two-stage MI-PSA Gene Selection algorithm, a novel approach designed to enhance cancer classification accuracy through robust gene selection methods.
View Article and Find Full Text PDFJ Assoc Physicians India
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Assistant Professor, Department of Community Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India, Corresponding Author.
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Department of Bioinformatics, Faculty of Engineering and Technology, Marwadi University, Rajkot, Gujarat, 360003, India. Electronic address:
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