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- Mandeep Kaur
- Satish Gupte
- Maninder Kaur
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- Ravi Kumar
- Mrinangka Deb
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Bala, Manju
- Non-Fermenters - Emerging Health Care Pathogens
Abstract Views :221 |
PDF Views:158
Authors
Mandeep Kaur
1,
Satish Gupte
2,
Maninder Kaur
1,
Prerna Aggarwal
1,
Ashwini Manhas
1,
Manju Bala
1,
Tanveer Kaur
1
Affiliations
1 Department of Microbiology, Gian Sagar Medical College & Hospital, Rajpura, IN
2 Department of Microbiology, GianSagar Medical College and Hospital, Gian Sagar Medical College & Hospital, Rajpura, IN
1 Department of Microbiology, Gian Sagar Medical College & Hospital, Rajpura, IN
2 Department of Microbiology, GianSagar Medical College and Hospital, Gian Sagar Medical College & Hospital, Rajpura, IN
Source
SMU Medical Journal, Vol 2, No 2 (2015), Pagination: 266-277Abstract
Aerobic nonfermenting gram-negative bacilli (nonfermenters) are a heterogeneous group of organisms that are either incapable of utilizing carbohydrates as a source of energy or degrade them via oxidative rather than fermentative pathway. These organisms are common inhabitants of soil and water. Nonfermenters can cause a vast variety of infections and account for approximately 15%of all Gram negative bacilli cultured from clinical specimens. Their infection are endogenous or exogenous origin, depending on several factor such as use of immunosuppressant substance, abusive use of wide spectrum antimicrobial agents, prolong surgical procedure and inadequate instrumentation. Pseudomonas cause endocarditis, osteomyelitis, urinary tract infections, gastrointestinal infections, meningitis, and, commonly septicaemia. Acinetobacter has emerged as an important nosocomial organism causing infectious outbreaks in critically ill patients leading to high mortality and morbidity. Burkholderia cepacia shows fast growth on immune-depleted patients - like cystic fibrosis patients (CFPs). Sphingomonas paucimobilis can produce biofilms or attach to preexisting biofilms, where they become integrated and survive for days. Most infections caused by nonfermenters have been nosocomial, often related to contamination of hospital equipment or fluids and have occurred in immunocompromised hosts. Non-fermenting Gram-negative bacilli are innately resistant to many antibiotics and are known to produced extrended spectrum β-lactmases and metallo β-lactmases. This review article highlights the different clinical conditions caused by the nonfermenters.Keywords
Nonfermenters, Pseudomonas, Burkholderia cepacia, Acinetobacter, Sphingobacterium.Full Text
References
- Koneman E.W., Allen S.D., Janda W.M., Schreckenberger P.C., Winn W.C.(2012) The nonfermentative Gram-negative bacilli. Color Atlas and Textbook of Diagnostic Microbiology. 6th Ed.
- Lippincott Williams and Wilkins,P. 309-375.
- Koneman E.W., Allen S.D., Rowell Jr V.R. et al. (1988) In Color atlas and textbook of diagnostic microbiology. 3th Ed. Lippincott, Philadelphia. P. 157-208, 493-534.
- Baron, E.J., Fine-old S.M. (1990) Nonfermentative gram-negative bacilli and coccobacilli. In: Bailey and Scott's Diagnostic microbiology, 8 th Ed. Mosby. 386-407.
- Siou Cing S.u.,Mario vaeechotte,Lenie Dijkshoorn,Y.u Fang Wei,Ya Lei Chen and Tsung Chain Chang. (2009) Identification of non-fermenting Gram-negative bacteria of clinical importance by an oligonucleotide array.Journal of Medical Microbiology ,58, 596-605.
- Cristiane Cunha Frota, Jose Luciano Bezerra Moreira. (1998) Frequency of nonfermentative gramnegative bacilli isolated from clinical materials of patients at universidade federal dodeara hospital complex Brazil Rev.Microbiol.vol.29 n.3 Sao Paulo.
- A Malini, E.K., deepa, B.N., Gokul,S.R. Prasad. (2009) Nonfermenting Gram-Negative Bacilli Infection in a tertiary care Hospital in kolar,Karnataka. Journal of laboratory PhysiciansVol-1.
- Willcox, M. D. (2007) Pseudomonas aeruginosa infection and inflammation during contact lens wear: a review. Optometry and Vision Science. Official Publication of the Journal of Infectious Diseases, 130 Suppl(0), S94-9.American Academy of Optometry. 84(4), 273-278.
- Liu, P. V.(1974) Extracellular toxins of Pseudomonas aeruginosa. The Journal of Infectious Diseases. 130 Suppl(0), 94-99.
- Feldman, M., Bryan, R., Rajan, S., Scheffler, L., Brunnert, S., Tang, H., & Prince, A. (1998) Role of flagella in pathogenesis of Pseudomonas aeruginosa pulmonary infection. Infection and Immunity. 66(1), 43-53..
- Banerjee, D., & Stableforth, D. (2000) The treatment of respiratory pseudomonas infection in cystic fibrosis: what drug and which way?. Drugs, 60(5), 1053-1064.
- Mena, K. D., & Gerba, C. P. (2009). Risk assessment of Pseudomonas aeruginosa in water. Reviews of Environmental Contamination and Toxicology. 201, 71-115.
- Pruitt, B. A., J.r., McManus, A. T., Kim, S. H., & Goodwin, C. W. (1998) Burn wound infections: current status. World Journal of Surgery. 22(2), 135-145.
- Nikaido H, Nikaido K, Harayama S. (1991) Identification and characterization of porins in Pseudomonas aeruginosa. J Biol Chem. 266,770–779.
- Jawad A, Snelling A.M., Heritage J, Hawkey P.M. (1998) Exceptional desiccation tolerance of Acinetobacter radioresistens.J Hosp Infect.39, 235–401.
- Fournier P.E. and Richet H. (2006) The epidemiology and control of Acinetobacter baumannii in health care facilities. Clin Infect Dis. 42, 692-9.
- Talbot G.H., Bradley J, Edwards J.E., J.r., Gilbert D, Scheld M, Bartlett J.G. (2006) Bad bugs need drugs: an update on the development pipeline from the Antimicrobial Availability Task Force of the Infectious Diseases Society of America. Clin Infect Dis .42, 657-668.
- Kilic A, Li H, Mellmann A, Basustaoglu A.C., Kul M, Senses Z, et al.(2008) Acinetobacter septicus sp. nov. association with a nosocomial outbreak of bacteremia in a neonatal intensive care unit. J Clin Microbiol. 46, 902-8.
- Jiang J.H., Chiu N.C., Huang F.Y., Kao H.A., Hsu C.H., Hung H.Y., et al.(2004) Neonatal sepsis in the neonatal intensive care unit: characteristics of early versus late onset. J Microbiol Immunol Infect .37, 301-6.
- Manikal V.M., Landman D, Saurina G, Oydna E, Lal H, Quale J. (2003) Endemic carbapenem resistant Acinetobacter species in Brooklyn, New York: citywide prevalence, interinstitutional spread, and relation to antibiotic usage. Clin Infect Dis. 31,101–106.
- Hu, Q, Hu, Z, Li, J, Tian, B, Xu, H, Li, J . (2011) Detection of OXA-type carbapenemases and integrons among carbapenem-resistant Acinetobactor baumannii in a Teaching Hospital in China. J Basic Microbiol . 51, 467–472.
- Chiarini L, Bevivino A, Dalmastri C, Tabacchioni S, Visca P. (2006) Burkholderia cepacia complex species: Health hazards and biotechnological potential. Trends Microbiol.14, 277-86.
- Chu K.K., Davidson D.J., Halsey T.K., Chung J.W., Speert D.P.(2002) Differential persistence among genomovars of the Burkholderia cepacia complex in a murine model of pulmonary infection.Infect Immun .70, 2715-2720.
- Goldman L, Bennett J.C. CECIL: (2001) Textbook of Medicine (In Portuguese). 21th Ed. Guanabara Koogan: Rio de Janeiro.
- . Seo S.W., Chung I.Y., Kim E, Park J.M. (2008)A Case of Postoperative Sphingomonas paucimobilis endophthalmitis after cataract extraction. Korean Journal of Ophthalmology. 22(1), 63-65.
- Bulut C, Yetkin M.A,. Koruk S.T., Erdinç F.Ş., Karakoç E.A. (2008) Sphingomonas paucimobilis: A rare nosocomial bacteriemia agent. Mikrobiyol Bul. 42, 685-688.
- Koskinen R., Ali-Vehmas T., Kampfer P., Laurikkala M., Kostyal E., Atroshi F., and M. SalkinojaSalonen. (2000) Characterization of Sphingomonas isolates from Finnish and Swedish Drinking Water Distribution Systems. J. Appl. Microbiol.89, 687-696.
- Reina J, Borrell N, Figuerola J. (1992) Sphingobacterium multivorum isolated from a patient with cystic fibrosis. Eur J Clin Microbiol Infect Dis .11, 81-82.
- Fereny, Hansen W, Ploton C, Meugnier H, Madier S, Bornstein N, et al. (1987) Septicemia caused by Sphingobacterium multivorum. J Clin. Microbiol. 25, 1126-1128.
- Lambiase A, Rossano F, Pezzo M.D., Raia V, Sepe A, Gregorio F.D., et al. (2009) Sphingobacterium respiratory tract infection in patients with cystic fibrosis. BMC Res Notes. 2, 262.
- Marinella M.A. (2002) Cellulitis and sepsis due to Sphingobacterium. JAMA.288, 1985.
- Anaya D.A., Dellinger E.P. (2007) Necrotizing soft-tissue infection: diagnosis and management. Clin Infect Dis. 44, 705-710.
- Calza L, Manfredi R, Chiodo F. (2003) Stenotrophomonas (Xanthomonas) maltophilia as an emerging opportunistic pathogen in association with HIV infection: a 10-year surveillance study.Infection .31, 155.
- de Oliveira-Garcia D, Dall'Agnol M, Rosales M, et al. (2003) Fimbriae and adherence of Stenotrophomonas maltophilia to epithelial cells and to abiotic surfaces. Cell Microbiol 5, 625–636.
- Vickers IE, Smikle MF. (2006) The immunomodulatory effect of antibiotics on the secretion of tumour necrosis factor alpha by peripheral blood mononuclear cells in response to Stenotrophomonas maltophilia stimulation. West Indian Med J. 55, 138-141.
- Windhorst S, Frank E, Georgieva D.N., Genov N, Buck F, Borowski P, Weber W. 2002) The major extracellular protease of the nosocomial pathogen Stenotrophomonas maltophilia. J Biological Chem.277, 11042-11049.
- Bizet J, Bizet C. (1997) Strains of Alcaligenes faecalis from clinical material. J Infect. 35,167–169.
- Bizet C, Tekaia F, Philippon A. (1993) In-vitro susceptibility of Alcaligenes faecalis compared with those of other Alcaligenes spp. to antimicrobial agents including seven β-lactams. J Antimicrob Chemother . 32, 907–910.
- Chag H.J., Christenson J.C., Pavia A.T., et al.(1996) Ochrobactrum anthropi meningitis in pediatric pericardial allograft transplant recipients. J Infect Dis. 173,656.
- Current Concepts of Commonly Used Vaccines
Abstract Views :190 |
PDF Views:105
Authors
Affiliations
1 Department of Microbiology, Gian Sagar Medical College & Hospital, Rajpura, IN
2 Department of Microbiology, GianSagar Medical College and Hospital, Banur, Punjab, IN
1 Department of Microbiology, Gian Sagar Medical College & Hospital, Rajpura, IN
2 Department of Microbiology, GianSagar Medical College and Hospital, Banur, Punjab, IN
Source
SMU Medical Journal, Vol 2, No 2 (2015), Pagination: 306-316Abstract
Today's world need vaccines for the prevention of infectious diseases, cancer therapy, and many more. Vaccines reduce the mortality rates in the world from infectious diseases such as measles, polio and diphtheria. The concept of vaccination is very old. Conventional vaccines are composed of Live or Attenuated microorganisms. But they may not be sufficient in current scenario, so further research is going on for development of vaccine which should be cost-effective and having specific immune responses. The current concept of vaccines is a challenge which could produce both humoral and cell-mediated immunity. In this review we are discussing about the types, concept, economics, and newer trends for vaccines production.Keywords
Vaccines, Types, Concept, Trends.Full Text
References
- Judy owen , jenni punt & Sharon stranford, M.(2013) kuby immunology :vaccine, 7th Ed.US: W.H.freeman.ISBN-9781464137846
- Pasteur, Louis (1881). "Address on the Germ Theory". Lancet 118 (3024): 271-2.doi:10.1016/s0140-6736(02)35739-8.
- "Vaccine Types". Niaid.nih.gov. 2012-04-03. Retrieved 2013-04-26.
- Kim W, Liau LM (2010). "Dendritic cell vaccines for brain tumors". Neurosurg Clin N Am21 (1): 139–57. doi:10.1016/j.nec.2009.09.005. PMC 2810429. PMID 19944973.
- Meri, S; Jördens, M; Jarva, H (2008). "Microbial complement inhibitors as vaccines". Vaccine. 26 Suppl 8: I1137. doi:10.1016/j.vaccine.2008.11.058.PMID 19388175.
- Jit, Mark; Newall, Anthony T.; Beutels, Philippe (2013). "Key issues for estimating the impact and cost-effectiveness of seasonal influenza vaccination strategies". Human vaccines & immunotherapeutics 9 (4): 834–840. doi:10.4161/hv.23637.
- "Thimerosal in vaccines". Center for Biologics Evaluation and Research, U.S. Food and Drug Administration. 2007-09-06. Retrieved 2007-10-01.
- Plotkin SA (2005). "Vaccines: past, present and future". Nat Med 11 (4 Suppl): S5– 11. doi:10.1038/nm1209. PMID 15812490.
- "Safer vaccine created without virus". March 28, 2013. Retrieved March 28, 2013.
- Sala, F.; Manuela Rigano, M.; Barbante, A.; Basso, B.; Walmsley, AM; Castiglione, S (2003). "Vaccine antigen production in transgenic plants: strategies, gene constructs and perspectives". Vaccine 21 (7–8): 803–8. doi:10.1016/s0264-410x(02)006035. PMID 23888738.
- Kumar, G. B. Sunil; T. R. Ganapathi, C. J. Revathi, L. Srinivas and V. A. Bapat (2005). "Expression of hepatitis B surface antigen in transgenic banana plants". Planta222 (3): 484–493. doi:10.1007/s00425-005-1556-y. PMID 15918027
- Influenza A (H1N1) 2009 Monovalent Vaccine http://www.fda.gov/BiologicsBloodVaccines/Vaccines/ApprovedProducts/ucm181950.htm
- AIDSinfo Vaccine Web page at http://aidsinfo.nih.gov/ Vaccines/
- Zhang VM, Chavchich M, Waters NC (2012). "Targeting protein kinases in the malaria parasite: update of an antimalarial drug target". Curr Top Med Chem 12 (5): 456– 72. doi:10.2174/156802612799362922. PMID 22242850.
- Prabowo, S. et al. (2013) "Targeting multidrug-resistant tuberculosis (MDR-TB) by therapeutic vaccines." Med Microbiol Immunol 202: 95-1041. Print.
- White, A. et al. (2013) "Evaluation of the Safety and Immunogenicity of a Candidate Tuberculosis Vaccine, MVA85A, Delivered by Aerosol to the Lungs of Macaques." Clinical and Vaccine Immunology 20 : 663-672.
- Clinical Significance of Viral Diagnosti
Abstract Views :160 |
PDF Views:140
Authors
Nitya Batra
1,
Satish Gupte
1,
Prerna Aggarwal
1,
Maninder Kaur
1,
Ashwini Manhas
1,
Manju Bala
1,
Ravi Kumar
1
Affiliations
1 Department of Microbiology, GianSagar Medical College and Hospital, Banur, Punjab, IN
1 Department of Microbiology, GianSagar Medical College and Hospital, Banur, Punjab, IN
Source
SMU Medical Journal, Vol 2, No 1 (2015), Pagination: 291-298Abstract
Diagnostics in virology has become a very important tool in both diagnosis and prognosis of a disease. Rapid and accurate diagnosis of an infection should enhance patient outcome by enabling early initiation of appropriate therapy and thus implementation of relevant infection-control measures. Virological diagnostic methods may be implemented as adjuncts to the epidemiologic investigation of infectious disease outbreaks.Thus, paving a way for the development of newer antiviral drugs. Molecular diagnostics has helped in overcoming the various challenges and has helped the clinicians in determining the appropriate therapy to be initiated.Full Text
- Ebola Virus Vaccines
Abstract Views :231 |
PDF Views:121
Authors
Nitya Batra
1,
Satish Gupte
1,
Prerna Aggarwal
1,
Maninder Kaur
1,
Ashwini Manhas
1,
Manju Bala
1,
Ravi Kumar
1
Affiliations
1 Department of Microbiology, GianSagar Medical College and Hospital, Banur, Punjab, IN
1 Department of Microbiology, GianSagar Medical College and Hospital, Banur, Punjab, IN
Source
SMU Medical Journal, Vol 2, No 1 (2015), Pagination: 330-334Abstract
Ebola hemorrhagic fever, an extremely fatal viral disease is caused by Ebola virus. The African subcontinent is experiencing the most fatal epidemic caused by this virus. Recently, a few cases have been detected outside Africa. Thus, this is of concern and has alerted World Health Organization (WHO). Currently there is no cure for Ebola, nor is there a vaccine approved yet for human use. A few vaccines are under clinical trials. Thus, there needs to be an integrated approach in prevention of this fatal disease by an effective vaccine formation.Full Text
- Microbial Biofilms
Abstract Views :405 |
PDF Views:156
Authors
Mrinangka Deb
1,
Satish Gupte
2,
Prerna Aggarwal
1,
Maninder Kaur
1,
Ashwini Manhas
1,
Manju Bala
1,
Ravi Kant
1
Affiliations
1 Department of Microbiology, Gian Sagar Medical College and Hospital (GSMCH), Punjab-140601, IN
2 Gian Sagar Medical College & Hospital, IN
1 Department of Microbiology, Gian Sagar Medical College and Hospital (GSMCH), Punjab-140601, IN
2 Gian Sagar Medical College & Hospital, IN
Source
SMU Medical Journal, Vol 1, No 2 (2014), Pagination: 116-127Abstract
Biofilm formation constitutes an alternative lifestyle in which microorganisms adopt a multicellular behavior that facilitates and/or prolongs survival in diverse environmental niches. Biofilms form on biotic and abiotic surfaces both in the environment and in the healthcare setting. In hospital wards, the formation of biofilms on vents and medical equipment enables pathogens to persist as reservoirs that can readily spread to patients. Inside the host, biofilms allow pathogens to subvert innate immune defenses and are thus associated with long-term persistence. This review describes the process of biofilm formation its composition and virulence and the role it plays in the pathogenisis of various infections mostly chronic. The review also makes an attempt to describe antimicrobial biofilm control.Full Text
- Decorative Text Words Recognition Using Neural Network
Abstract Views :174 |
PDF Views:0
Authors
Affiliations
1 Department of CSE, CT Group of Institutions, Jalandhar, Punjab, IN
1 Department of CSE, CT Group of Institutions, Jalandhar, Punjab, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 21 (2016), Pagination: 39-47Abstract
Use of the decorated text is highly preferable in the area where the attention of viewers is required. The basic optical recognition systems do not give good results for the decorated inputs because the formation of decorated text is complex and different from the other regular fonts. Very less work has been done in the field of decorated text and specially decorated words. In this paper algorithm has been designed which work for the recognition of decorated words. The proposed system uses the neural network for the recognition and consists of the following portion. First is Otsu's algorithm, then applying preprocessing, neural network and finally the matched decision is displayed.Keywords
Text Recognition, Neural Network, Otsu’s Algorithm.Full Text
- Analysing Saliency with SIFT for Intruder Detection
Abstract Views :163 |
PDF Views:2
Authors
Affiliations
1 Department of CSE, CT Group of Institutions, Jalandhar, Punjab, IN
1 Department of CSE, CT Group of Institutions, Jalandhar, Punjab, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 21 (2016), Pagination: 96-105Abstract
In this paper we are proposing a system for the colored saliency detection for securing the systems from indruders. The proposed system is based on saliency detection. The detection Saliency can be a good technique for the detection of Intruders in the security system areas. Saliency detection has become a very prominent subject for research in time. The different types of techniques has been defined for the saliency detection. The experimental results are shown in the below.Keywords
Saliency Detection, SIFT.Full Text
- Source Camera Identification Using Interninsic Fingerprints
Abstract Views :153 |
PDF Views:1
Authors
Source
International Journal of Innovative Research and Development, Vol 3, No 3 (2014), Pagination:Abstract
The identification of an image acquisition device becomes a very important in digital image forensics. In this paper main focus is on identification of digital camera and provides a new approach of identification. As digital camera uses many components in image generation process such as lens, sensors, CFA (colour filter array) e.t.c. Each component has its unique characteristics that can be known as fingerprints. By extracting that fingerprint identification of digital camera can be done. In this paper identification is done on the basis of sensor noise and CFA unique characteristics. From sensor photo-response non-uniformity (PRNU) is considered because it was introduced by Luk´aˇs et al. [2] for identification of digital camera. So in this work PRNU (Photo Response Non Uniformity) and 12 features from CFA are used. Classification is done by using SVM classifier (Support Vector Machine). Experimental analysis shows that the proposed method has good potential for identification of digital camera.
Keywords
PRNU (Photo Response Non Uniformity), CFA (color filter array), SVM (Support Vector Machine), Digital Image ForensicsFull Text
- Randomization of Node Scheme with Optimization in Wireless Sensor Network
Abstract Views :189 |
PDF Views:0
Authors
Affiliations
1 Computer Science engineering, IKG Punjab Technical University, Kapurthala 144601,(Punjab), IN
2 Khalsa College of Engineering & Technology, Amritsar 143001, (Punjab), IN
3 DAV institute of Engineering, Management & Technology, Jalandhar 144001 (Punjab), IN
1 Computer Science engineering, IKG Punjab Technical University, Kapurthala 144601,(Punjab), IN
2 Khalsa College of Engineering & Technology, Amritsar 143001, (Punjab), IN
3 DAV institute of Engineering, Management & Technology, Jalandhar 144001 (Punjab), IN
Source
International Journal of Advanced Networking and Applications, Vol 10, No 5 (2019), Pagination: 3999-4006Abstract
Swarm Intelligence has nature inspired intelligence dependent on aggregate conduct of swarms having self-sorted out nature. Different techniques are being planned as far as ACO, PSO, Fish Swarm, Bats Swarm, Bacterial Foraging, TABU search and so forth.TABU search is regarded as heuristic method derived by Glover in 1986 depends on the memory structure. TABU search is used to determine the engineering design problems having continuous and real number variables. TABU is utilized to take care of different discrete issues in various regions of sciences and engineering. Since its advancement TABU has pulled in loads of specialists to take up its calculations and apply to take care of different complex issues and has been demonstrated the best strategy to get enhanced outcomes. The objective of this research paper is to implement TABU search to make the protocol more efficient and effective. This paper proposed MSEEC (multilevel stable and energy efficient clustering protocol) utilizing TABU mechanism in which normal nodes are randomly changed after each round in the territory of 200m×200m.The recreation is done under the MATLAB environment and observed the performance of TABU-MSEEC against MSEEC protocol on 4% increase in the case of first node dead (FND) and 20% increase in the case of last node dead (LND) and average remaining energy is delayed by 12% in advance nodes and 20% in super nodes respectively.Keywords
Wireless Sensor Network, Heterogeneity, TABUmechanism, MATLAB, FND, LND and Average Remaining Energy.Full Text
References
- Farouk, F., Rizk, R., & Zaki, F. W. (2014). Multi-level stable and energy-efficient clustering protocol in heterogeneous wireless sensor networks. IET Wireless Sensor Systems, 4(4), 159-169.
- Wang, X., Qian, L., Wu, J., & Liu, T. (2010). An energy and distance based clustering protocol for wireless sensor networks. In Novel Algorithms and Techniques in Telecommunications and Networking (pp. 409-412). Springer, Dordrecht.
- Li, X., Li, N., Chen, L., Shen, Y., Wang, Z., & Zhu, Z. (2010, March). An improved LEACH for clustering protocols in wireless sensor networks. In 2010 International Conference on Measuring Technology and Mechatronics Automation (Vol. 1, pp. 496-499). IEEE.
- Orojloo, H., & Haghighat, A. T. (2016). A Tabu search based routing algorithm for wireless sensor networks. Wireless Networks, 22(5), 1711-1724.
- Messaoud, R. B., & Ghamri-Doudane, Y. (2015, September). QoI and energy-aware mobile sensing scheme: A tabu-search approach. In 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall) (pp. 16). IEEE.
- Amuthan, A., & Thilak, K. D. (2016, October). Survey on Tabu search meta-heuristic optimization. In 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES) (pp. 1539-1543). IEEE.
- Habib, S. J., & Marimuthu, P. N. (2017, April). Reputation analysis of sensors’ trust within tabu search. In World Conference on Information Systems and Technologies (pp. 343-352). Springer, Cham.
- Kuo, S. Y., & Chou, Y. H. (2017). Entanglementenhanced quantum-inspired tabu search algorithm for function optimization. IEEE Access, 5, 13236-13252.
- Vijayalakshmi, K., & Anandan, P. (2018). A multi objective Tabu particle swarm optimization for effective cluster head selection in WSN. Cluster Computing, 1-8.
- Glover, F. (1990). Tabu search: A tutorial. Interfaces, 20(4), 74-94.
- de Werra, D., & Hertz, A. (1989). Tabu search techniques. Operations-Research-Spektrum, 11(3), 131-141.
- Vaithyanathan, S., Burke, L. I., & Magent, M. A. (1996). Massively parallel analog tabu search using neural networks applied to simple plant location problems. European Journal of Operational Research, 93(2), 317-330.
- Reinelt, G. (1994). The traveling salesman: computational solutions for TSP applications. SpringerVerlag.
- Gendreau, M., Laporte, G., & Séguin, R. (1996). A tabu search heuristic for the vehicle routing problem with stochastic demands and customers. Operations Research, 44(3), 469-477.
- Kinney, G. W., Barnes, J. W., & Colletti, B. W. (2007). A reactive tabu search algorithm with variable clustering for the unicost set covering problem. International Journal of Operational Research, 2(2), 156-172.
- Glover, F., & McMillan, C. (1986). The general employee scheduling problem. An integration of MS and AI. Computers & operations research, 13(5), 563-573. [5] Linn, R., & Zhang, W. (1999). Hybrid flow shop scheduling: a survey. Computers & industrial engineering, 37(1-2), 57-61.
- Glover, F., McMillan, C., & Novick, B. (1985). Interactive decision software and computer graphics for architectural and space planning. Annals of operations research, 5(3), 557-573.
- Hansen, P., Jaumard, B., & Da Silva, E. (1991). Average-linkage divisive hierarchical clustering. Cahiers du GERAD.
- Dorndorf, U., & Pesch, E. (1994). Fast clustering algorithms. ORSA Journal on Computing, 6(2), 141-153.
- Glover, F., & Taillard, E. (1993). A user's guide to tabu search. Annals of operations research, 41(1), 1-28.
- Beyer, D. A., & Ogier, R. G. (1991, November). Tabu learning: a neural network search method for solving nonconvex optimization problems. In [Proceedings] 1991 IEEE International Joint Conference on Neural Networks (pp. 953-961). IEEE.
- Ganesh, S., & Amutha, R. (2010). Real Time and Energy Efficient Transport Protocol for Wireless Sensor Networks.International Journal of Advanced Networking and Applications. arXiv preprint arXiv:1006.2691.
- Basavaraj, G. N., & Jaidhar, C. D. (2019). Intersecting Sensor Range Cluster-based Routing Algorithm for Enhancing Energy in WSN. International Journal of Advanced Networking and Applications, 10(4), 3938-3943.
- Family Income, Parental Education and Media Exposure as Predictors of Youth Problems
Abstract Views :262 |
PDF Views:0
Authors
Affiliations
1 Department of Human Development and Family Studies, I.C. Collage of Home Science, CCSHAU, Hisar, Haryana, IN
1 Department of Human Development and Family Studies, I.C. Collage of Home Science, CCSHAU, Hisar, Haryana, IN
Source
Indian Journal of Positive Psychology, Vol 10, No 1 (2019), Pagination: 1-4Abstract
The present study was conducted with 16-18 years old adolescent boys and girls from Hisar city and two villages of Hisar district. These adolescents were selected from randomly selected four government senior secondary schools. Total sample constituted of 240 adolescents, 120 from rural area and 120 from urban area. These 240 adolescents included 120 boys and 120 girls. Youth Problem Inventory (YPI) developed and standardized by Verma (2004) was used to assess the youth problems among adolescents. Percentages and step-wise regression analyses were used to analyze the data. Majority of adolescents' fathers had education up to senior secondary level, while majority of mothers had education up to middle school level. Majority of adolescents belonged to lower income group followed by middle and high income groups. Adolescents were personally interviewed about their psycho-social problems. Results revealed that majority of adolescents from total sample experienced average level of family, school, social, personal and overall problems. Step-wise linear regression revealed that media exposure, family income and paternal education were significant predictors of youth problems.Keywords
Youth Problems, Family Problems, School Problems, Social Problems, Personal Problems and Oversensitivity.
References
- Aviles, A.M., Anderson, T.R., & Davila, E.R. (2005). Child and adolescent socialemotional development within the context of school. Child and AdolescentMental Health, 77(1), 32-39. Retrieved from https://onlinelibrary.wiley.com/doi/full/10.1111/j.l475-3588.2005.00365.x on 25.11.2018
- Karevold, E. (2008). Emotional problems in childhood and adolescence. Series of dissertations submitted to the Faculty of Social Sciences, University of Oslo No. 126. ISSN 1504-3991.
- McGrath, P.J., & Elgar, F. (2015). Effects of socioeconomic status on behavioral problems. In J. D. Wright (Ed.), International encyclopedia of social and behavioral sciences (2nded., pp. 477-480). PhiladelphiaPA: Elsevier.
- Miranda, D., Blais-Rochette, C., & Borisevich, S. (2014). Media exposure and consumption as risk factors in the development of antisocial behavior. In J. Morizot and L. Kazemian (Eds.), The development of criminal and antisocial behavior: Theoreticalfoundations andprnctical applications (pp. 267-281). New York, NY: Springer.
- National Institute for Health & Care Excellence (NICE) (2010). School-based interventions to prevent the uptake of smoking among children and young people [Online]). Retrieved from http://www.nice.org.uk/ nicemedia/pdf7PH23 Guidance.
- Pardini,D.A., Waller, R , &Hawes, S.W. (2014). Familial influences on the development of serious conduct problems and delinquency. In J. Morizot and L. Kazemian (Eds.), The development of criminal and antisocial behavior: Theoretical foundations and practical application (pp. 201-220). New York: Springer.
- Panahi, S. (2015). Role of parents, teachers, and community in adolescents issues. Unique Journal of Pharmaceutical and Biological Sciences, 3(2), 4-11.
- Pathak, R , Sharma, R .C, Parvan, U.C, Gupta, B.P, Ojha, R.K., & Goel, N. K. (2011). Behavioural and emotional problems in school going adolescents. The Australasian Medical Journal, 4(1), 15-21.
- Saraceno, B. (2002). The WHO World Health Report 2001 on mental health. Retrieved from https://www.ncbi.nlm.nih.gOv/pubmed/12212469# on 7.1.2019.
- Shimran, K. (2015). Problems of adolescents in single and dual earner families. Department of Human Development and Family Studies, I.C. College of Home Science, CCSHAU, Hisar. Unpublished M.Sc. Thesis.
- Sigilai, B. (2018). Challengesfaced by adolescents in school and how a teacher can help them. Retrieved from https://www.academia.edu/4336042/Challenges_faced_by_adolescents_in_school_ and_ how _ a teacher can help them on 25.11.2018
- Verma, M. (2004). Youth Problem Inventory (YPI). National Psychological Corporation, Agra.
- World Health Organization (2001). The World Health Report: Mental Health. New Understanding, New Hope. Geneva: WHO.
- An Energy-Efficient Routing Protocol based on TABU-Genetic Strategy in Wireless Sensor Network
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Authors
Affiliations
1 Computer Science engineering, IKG Punjab Technical University, Kapurthala 144601,(Punjab), IN
2 Khalsa College of Engineering & Technology, Amritsar 143001, (Punjab), IN
3 DAV institute of Engineering, Management & Technology, Jalandhar 144001 (Punjab), IN
1 Computer Science engineering, IKG Punjab Technical University, Kapurthala 144601,(Punjab), IN
2 Khalsa College of Engineering & Technology, Amritsar 143001, (Punjab), IN
3 DAV institute of Engineering, Management & Technology, Jalandhar 144001 (Punjab), IN
Source
International Journal of Advanced Networking and Applications, Vol 10, No 6 (2019), Pagination: 4099-4104Abstract
In Swarm Intelligence, various techniques are being planned as far as ACO, PSO, Fish Swarm, Bats Swarm, Bacterial Foraging, TABU, GA search and so forth. TS and GA is a single algorithm that firstly creates a set of random valid solutions, and for several iterations it optimizes them using a TS-based method. Afterwards, it takes this set of optimized solutions as the initial population for the GA, and iterates until the adopted stop criteria have been met. The objective of this research paper is to implement TABU-GA search to make the protocol more efficient and effective. This paper proposed MSEEC (multilevel stable and energy efficient clustering protocol) utilizing TABU-GA mechanism in the territory of 200m×200m.The recreation is done under the MATLAB 2013 a environment and observed the performance of TABU-GA MSEEC against MSEEC protocol on 4% increase in the case of first node dead (FND) and 28% increase in the case of last node dead (LND).Keywords
Wireless Sensor Network, Heterogeneity, TABU-GA Mechanism, MATLAB, FND, LND.Full Text
References
- Farouk, F., Rizk, R., &Zaki, F. W. (2014). Multi-level stable and energy-efficient clustering protocol in heterogeneous wireless sensor networks. IET Wireless Sensor Systems, 4(4), 159-169.
- Wang, X., Qian, L., Wu, J., & Liu, T. (2010). An energy and distance based clustering protocol for wireless sensor networks. In Novel Algorithms and Techniques in Telecommunications and Networking (pp. 409-412).Springer, Dordrecht.
- Li, X., Li, N., Chen, L., Shen, Y., Wang, Z., & Zhu, Z. (2010, March). An improved LEACH for clustering protocols in wireless sensor networks. In 2010 International Conference on Measuring Technology and Mechatronics Automation (Vol. 1, pp. 496-499).IEEE.
- Orojloo, H., &Haghighat, A. T. (2016). A Tabu search based routing algorithm for wireless sensor networks. Wireless Networks, 22(5), 1711-1724.
- Messaoud, R. B., &Ghamri-Doudane, Y. (2015, September). QoI and energy-aware mobile sensing scheme: A tabu-search approach. In 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall) (pp. 1-6).IEEE.
- Amuthan, A., &Thilak, K. D. (2016, October). Survey on Tabu search meta-heuristic optimization.In 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES) (pp. 1539-1543).IEEE.
- Habib, S. J., &Marimuthu, P. N. (2017, April). Reputation analysis of sensors’ trust within tabu search.In World Conference on Information Systems and Technologies (pp. 343-352).Springer, Cham.
- Kuo, S. Y., & Chou, Y. H. (2017). Entanglementenhanced quantum-inspired tabu search algorithm for function optimization. IEEE Access, 5, 13236-13252.
- Vijayalakshmi, K., &Anandan, P. (2018). A multi objective Tabu particle swarm optimization for effective cluster head selection in WSN. Cluster Computing, 1-8.
- Qu, W., & Yang, M. (2014, June). An energy-efficient routing control strategy based on genetic optimization.In Proceeding of the 11th World Congress on Intelligent Control and Automation (pp. 2038-2041).IEEE.
- Ganesh, S., &Amutha, R. (2010). Real Time and Energy Efficient Transport Protocol for Wireless Sensor Networks.International Journal of Advanced Networking and Applications. arXiv preprint arXiv:1006.2691.
- Basavaraj, G. N., &Jaidhar, C. D. (2019). Intersecting Sensor Range Cluster-based Routing Algorithm for Enhancing Energy in WSN. International Journal of Advanced Networking and Applications, 10(4), 3938-3943.
- Nutritious Dehulled Sunflower Meal Based Muffins: Optimization, Quality Characteristics And Storage Stability
Abstract Views :136 |
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Authors
Mridula D.
1,
Dhritiman Saha
1,
Sheetal Bhadwal
1,
Sonmati R. Kumar
1,
Simran Arora
1,
Malvika Bana
1,
Manju Bala
1
Affiliations
1 Food Grains and Oilseed Processing Division, ICAR-Central Institute of Post-Harvest Engineering and Technology, Ludhiana, 141 004, Punjab, IN
1 Food Grains and Oilseed Processing Division, ICAR-Central Institute of Post-Harvest Engineering and Technology, Ludhiana, 141 004, Punjab, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 58, No 2 (2021), Pagination: 257-273Abstract
The present study was conducted to optimize the food materials such as Dehulled Sunflower Meal (DSM) and Refined Wheat Flour (RWF) in flour blend for the preparation of muffins and to evaluate the storage stability of DSM incorporated muffins for 15 days storage at ambient as well as low temperature (4o C). Different experimental combinations were planned using response surface methodology (central composite design) of Design Expert software considering 10 to 40 g DSM and 60 to 90 g RWF. Different levels of RWF and DSM significantly influenced the instrumental colour (L, a, b values), nutritional quality, textural profile analysis and sensory acceptability of muffins. The nutritional and baking quality such as crude protein, total mineral content, iron and calcium, weight loss and height of baked muffins increased with increasing quantity of DSM. Optimized level of RWF and DSM consisted of 63.46 and 36.54%, respectively in flour blend showing overall desirability as 0.831. This muffin sample provided 11.72% crude protein, 2.24% total minerals, 143 mg/100g calcium and 4.55 mg/100 g iron with an overall acceptability score of 7.9 and can be stored for 9 days with good sensory acceptability.