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Vasudeva Murthy, C. R.
- Digital Crime - a Review Article
Authors
1 Dept. of Forensic Medicine & Toxicology, S.S. Institute of Medical Sciences & Research Centre, Davanagere, IN
2 Dept. of Forensic Medicine & Toxicology, S.I.M.S., Shimoga, IN
3 S.S.I.M.S & R.C., Davanagere, IN
4 M.S.R.M.C., Bangalore, IN
5 Micro Labs Pvt. Ltd., Bangalore, IN
Source
Indian Journal of Forensic Medicine & Toxicology, Vol 4, No 1 (2010), Pagination: 58-60Abstract
As computers become more integrated into people's daily lives, investigators are encountering an increasing amount of evidence of criminal activity in the digital form. There is growing need of understanding these methods and trained experts to process digital evidence. So training and laws related must keep pace with advances in computer technology making digital forensics an exciting field.Keywords
Digital Forensic, Computer Crimes, Threats
References
- Casey E. Encyclopedia of forensic and legal medicine. First edition,2005.Elsevierpublication,p429-435
- Stuart H. James and Jon. J, Forensic Science-An Introduction to Scientific and Investigative techniques. 2nd Edition, CRC Press, 2005. p. 553-560.
- Rosenblatt K.S., High Technology Crime –Investigating Cases Involving Computers, KSK Publications, San Jose, CA, 1995.
- Icove,D., Segar,K., and VonStorch,W., Computer Crime, A Crimefighter’s Handbook, O’Reilly & Associates, 1995.
- Pendyala.K.S.,”CyberFrauds,IncidentsResponse”,http:// www.cyberlawsindia.net. accessed on 20-11-2009.
- Zulawski,D. and Wicklander, D., Practical Aspects Of Interview And Interrogation, CRC Press, Boca Raton, FL, 2002.
- U.S. Department of justice federal guidelines for searching and seizing computers, U.S. Government printing office, Washington,D.C.,2001
- Amendments to IT act 2000, http://cyberlaws.net/ itamendements/TOI1.html. accessed on 15-11-2009.
- Correlation between Body Mass Index with Fasting Blood Sugar and Lipid Profile in Young Adult College Students of South Indian Population
Authors
1 Department of Biochemistry, SSIMS & RC, Davanagere 577 004, Karnataka, IN
2 Department of Forensic Medicine & Toxicology, SSIMS&RC Davanagere, Karnataka, IN
3 Department of Medicine, SSIMS&RC Davanagere, Karnataka, IN
4 Department of Forensic Medicine & Toxicology, JJM Medical College, Davanagere, Karnataka-577 004, IN
5 Department of Community Medicine, SSIMS&RC, Davanagere, Karnataka-577 004, IN
Source
Indian Journal of Public Health Research & Development, Vol 3, No 3 (2012), Pagination: 59-64Abstract
Objectives: To investigate fasting blood sugar (FBS) and lipid profile in young adult college students to correlates with BMI to find out risk factor for cardiovascular diseases. (CVD)
Design: Observational cross sectional study.
Materials & Methods: Students of SS Institute of Medical Science and Rese arch Center, Davanagere, Karnataka were assessed for anthropometric measures, fasting blood sugar and their lipid profiles at central Lab of Biochemistry department during Jan 2010 to Jun 2010.
Results: Among 257 students male were 130 and female were 127. In 130 male students 11 were underweight i.e., their BMI was < 19 Kg/m2, 94 were of normal that is their BMI was between 19 Kg/ m2 - 26 Kg/m2 and 25 were overweight with BMI of >26 Kg/m2. In 127 female students 21 were underweight i.e., their BMI was < 19 Kg/m2, 82 were of normal that is their BMI was between 19 Kg/ m2 - 26 Kg/m2 and 24 were overweight with BMI of >26 Kg/m2. The mean BMI of males is 22.5±6.36 Kg/m2 and females is 22±5.65 Kg/m2 Mean BMI of the three groups in the 130 male students was 22.66±3.36 and that in 127 female is 21.36±3.49. Mean fasting blood sugar level in male is 82.25±9.48 mg/dl, and in female 83.03±10.62 mg/dl. Mean total cholesterol level in male is 155.75±28.05 mg/dl and in Female 161.43±27.33 mg/dl. Mean Triglyceride level was in male 95±39.65 mg/dl and in female 96.08±29.66 mg/dl. Mean HDL-C level was in male 39.41±3.94 and in female 39.29±4.60. Mean LDL-C level was in male 96.51±23.17 and in female 103.17±24.57. Mean VLDL level in male was 18.48±7.78 and that in female 18.95±6.21.
Conclusion: The prevalence of obesity in adult college students shows 1.5% in male and 1.16% in female. Compare to male and female the fasting blood sugar, Cholesterol, LDL and triglycerides levels are higher and significant in female than male. This result indicates females are more prone to develop cardiovascular diseases.
Keywords
Facial Nerve, Ectropion, Lagophthalmos, Medial Canthoplasty, Lateral Tarsal Strip SurgeryReferences
- Brownlee M, Biochemistry and molecular cell biology of diabetic complication; Nature, 2001; 414:813-820.
- Wang Z and Hoy W E, Waist circumference, Body mass index, Hip circumference and Waist-to-Hip ratio as predictors of cardiovascular Disease in Abroriginal people; European Journal Clinical Nutritions 2004; 58,888-893.
- Ford EF. Giles WH Dietz WH, Prevalence of the metabolic syndrome among US adults, Journal of the American Medical Association, 2002:287:356-359.
- Guylaine CR, Helgo Saudny O, Harriet V, Kuhnlein, Grace M, Egeland; Body mass index may overestimate the prevalence of overweight and obesity among the INUIT; International J of Circ umpolar health; 2005:64(2); 163-169.
- Bray GA, Adolescent overweight may be tempting fate; N Engl J Med. 1992;327:1379-1380.
- Ugwu CE, Eezeanyika LUS, Daikwo MA and Amana R; Lipid profile of a population of diabetic patients attending Nigerian National Petroleum Corporation Clinic, Abuja,2009; AFR J of Biochem Research, 3(3),66-69.
- Horri M, Vakili R, Evolution of cardiovascular and lipid profile abnormalities in obese children and adolescents, Iran J Med Sci 2006: 31(2): 87.-90.
- Jasim N AI-Asadi, Omvan S Habib, Lami Al- Naama: Cardiovascular risk factors among college students: Bahrrrain Med Bull 2006: 28(3); 1-8.
- Reddy KS, Prabhakaran D, Chhaturrvedi V, Jeemon P, Thankappan KR, Ramakrishnan L, Mohan BVM, Pandy CS, Ahmed FU, Joshi PP, Meera R, Amin RB. Aahhuja RC , Das MS and Jaison TM; Methods for establishing a surveillance system for cardiovascular diseases in Indian industrial populations. Bulletin of the world health organization, 2006, 84(6)
- Seul-ki Jeong, Man-Wook, Seo, Young–Hyun Kim, Sun-Seog Kweon, Hae-Sung Nam; Does waist indicate dyslipidemia better than BMI in Korean adult population?; J Korean Med Sci 2005;20;7-12
- Soo-Kyung Lee, Relationships between body mass index, diabetes and blood glucose level in south Korean adults ;2005 Korean national health and nutrition survey; Republic of Korea.
- Chadha DS, Gurdeep Singh, Kharbanda P, Vasdev V, Gangoo RK: Anthropometric correlation of lipid profile in healthy aviators, Ind J Aerospace Med 2006: 50(2); 32-37
- Whitaker RD, Wright JA, Pepe MS, Seidel KD, Dietz WH, Predicting obesity in young adulthood from childhood and parental obesity. N Engl J Med .1997; 337; 869-873.
- Donahue RP, Orchard TJ, Kuller LH, Drash AL., Lipids and lipoproteins in a young adult population, Am J Epidemiol, 1985;122:458-469.
- Su HY, Sheu WHH, Chin HML, Effect of weight loss on blood pressure and insulin resistance in normotensive and hypertensive obese individuals. Am J Hypertens. 1995:8:1067-1071.
- Farhad Hosseinpanah, Mehdi Rambod and Fereidoun Azizi; Population attributable risk for diabetes associated with excess weight in Tehranian adults: a population base cohort study: BMC Public health 2007:7:328.
- Sawant AM, Shetty D, Mankeshwar R, Ashvaid TF, Prevalence of dyslipidemia in young adult Indian population. J Assoc Physicians Indian. 2008; 56:99-102.
- Divya Bishnol, Tanveen Kaur, Badaruddoza, Predictor of cardiovascular disease with respect to BMI, WHR and lipid profile in female of three population groups. Biology and Medicine, 2010, 2(2).32-41.
- Goswami K and Bandyopadhyay A, Lipid profile in middle class Bengali population of Kolkata; Indian Journal of Cinical Biochemistry, 2003,18(2);127-130.
- Limbu YR, Rai SK, Ono K, Kurokawa M, Yanagida JI, Rai G, Gurung N and Rai CK; Lipid profile of adult Nepalese population. Nepal Med Coll J 2008; 10(1); 4-7 .
- Jawed Aziz, Nadeem A Siddiqui, Imran A siddiqui, Amir Omair: Relation of body mass index with lipid profile and blood pressure in young health students AT Ziauddin Medical University; J Ayub Med Coll Abdottabad 2003:15(14).
- Faisal Al-Mahroos, Khaldoon Al Roomi: Obesity among adult Bahraini population; Impact of physical activity and educational level; Annals of Saudi Medicine 2001:21:3-4:183-192.
- Kasliwal RR, Kulshveshtha a, Sweta Agrawal, Basal M, Trehan M; Prevalence of cardiovascular risk factors in Indian patients undergoing coronary artery bypass surgery, JAPI 2006:34: 371-375.
- DiPietro L, Mossberg HO, Stunkard AJ, A 40 years history of overweight children in Stockholm: life time overweight, morbiditiy, and mortality. Int J Obes. 1994:18:585-590.
- Must A, Jacques PF, Dallal GE, Bajema CJ, Dietz WH, Long term morbidity and mortality of overweigh adolescents. N Engl J Med. 1992; 327:1350-1355.
- Paul Farajian, Efthimia Renti and Yannis Manios. Obesity indices in relation to cardiovascular diseases risk factors among young adult female students, British journal of nutrition 2008:99, 918-924.
- Fasial H, Al Orifan, Hanan E, Badr, Mohammad Abdul Subour Se’adah, Khalid EK, Basel AL Kordi, Adel Abass; Obesity and cardiovascular risk factors in Kuwaiti Adulats , Kuwait medical J 2007:39(2):162-166.
- Ghannem H, Khlifa K, Harrabi I, Ben Abdelaziz A and Gana R: Study cardiovascular risk factors among urban school children in Sousse, Tunisia: Estern Mediterranean health journal 2000: 6: 1046-1054.
- Tympanoplasty with and without Mastoidectomy for Non-cholesteatomatous Chronic Otitis Media
Authors
1 Dept of E.N.T., S.S.Institute of Medical Sciences and Research Center, Davangere-577005, IN
2 Dept of Forensic Medicine and Toxicology, S.S.Institute of Medical Sciences and Research Center, Davangere-577005, IN
Source
Indian Journal of Public Health Research & Development, Vol 3, No 3 (2012), Pagination: 65-67Abstract
Chronic otitis media is an inflammatory process of the mucoperiosteal lining of the middle ear space and mastoid. Infection represents the single major cause for the failure of tympanoplasty and can result from a hidden mastoid disease. Cortical mastoidectomy is an effective means of repneumatizing the mastoid and eradicating the mastoid source of infection. The effect of mastoidectomy on patients without evidence of active infection remains highly debated and unproven.Keywords
Type I Tympanoplasty, Cortical MastoidectomyReferences
- Rizer F. M. Overlay versus underlay Tympanoplasty. Part I: Historical Review of the Literature. Laryngoscope. 1997; 107:1-23.
- Ortegren. Myringoplasty. Acta Otolaryngology. Suppl: 193, 1-41.
- Siedentop K.H., Lee R.H and Osenar S.B. Predictability of tympanoplasty results. Arch Otolaryngology. 1972; 94: 146-150.
- Booth J.B. Myringoplasty – The lessons of failure. The journal of laryngology and otology. 1974; 88: 1223-1236.
- Holmquist J and Bergstrom B. The mastiod air cell system in ear surgery. Arch otolaryngology. 1978; 104:127-129.
- Wehrs R.E. and Tulsa O.K. Aeration of the middle ear and mastoid in tympanoplasty. Laryngoscope. 1981; 91: 1463-1467.
- Packer P., Mackendrick A. and Solar M. What’s best in Myringoplasty: Underlay or overlay, dura or fascia? 1982; 96: 25-41
- Yung M.W. Myringoplasty: Hearing gain in relation to perforation site. 1983; 97: 11-7.
- Jackler R.K. and Schindler R.A. Role of the mastoid in tympanic membrane reinstruction, Laryngoscope. 1984; 94: 495-500.
- Adkins W.Y., White B and Charleston.S.C., Laryngoscope. 1984; 94:916-918.
- Peak Expiratory Flow Rates in Normal Healthy School Children of Central Karnataka, India
Authors
1 Department of Pediatrics, S.S. Institute of Medical Sciences & Research Center, Davangere, IN
2 Department of Pediatrics, Ramaiah Medical College, Bangalore, IN
3 Department of Pediatrics, VIMS, Bellary, IN
4 Department of Pathology, International Medical University, Kuala Lumpur, IN
5 Department of pediatrics, J J M Medical College, Davangere, IN
Source
International Journal of Physiology, Vol 2, No 1 (2014), Pagination: 75-78Abstract
Background: PEFR is the easiest and most cost effective method to evaluate respiratory functions. PEFR can be measured by a simple instrument Peak expiratory flow meter. Measuring PEFR has been suggested as an important tool in asthma management by all International guidelines. The aim of this study was to determine the PEFR values in healthy school children of central Karnataka, India.
Method: PEFR was measured in Two thousand and two hundred school children using mini Wright's Peak flow meter. All PEFR measurements were obtained in standing position and the best out of three trials were recorded. Height and weight were recorded. Regression analysis was used to calculate the predicted normal values of PEFR and also to assess its relation to weight and height.
Results: Positive correlation was seen between age, height, weight and PEFR. The boys had higher values of PEFR than girls at all heights. The prediction equation based on height was PEFR = 5.63 (Ht) - 474.43, r = + 0.902 for boys and PEFR = 5.30 (Ht) - 451, r = + 0.876 for girls.
Conclusion: PEFR values in this study were comparatively low to those of North Indian and western school children, High to those of other children of south India. The prediction equation obtained from the study can be used to detect PEFR values in central part of Karnataka.
Keywords
PEFR, Children, Peak Flow Meter, Regression Equation, Height- A Rare Case of Survival after Homicidal Laryngo Pharyngeal Transaction Cut Throat Injury
Authors
1 Dept. of ENT. JJMMC, Davangere Karnataka, IN
2 Department of Pathology, International Medical University, Kuala Lumpur, MY
3 INFOVALLEY, Kuala Lumpur, MY