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Article: Biogenic synthesis of silver nanoparticle from wasp nest soil fungus, Penicillium italicum and its analysis against multi drug resistance pathogens

Nayak, B.K / A. Nanda / V. Prabhakar

Biocatalysis and agricultural biotechnology. 2018 Oct., v. 16

2018

Abstract: The mortality rate has increased robustly due to the drug resistant microorganisms and is a major challenge before scientist. Since nature provides the clues to us to defend against unfavorable situation, the proposed study has focus on an insect-microbe ...

Abstract	The mortality rate has increased robustly due to the drug resistant microorganisms and is a major challenge before scientist. Since nature provides the clues to us to defend against unfavorable situation, the proposed study has focus on an insect-microbe symbiosis which plays a vital role for producing the natural product for an alternate source of antibiotic. In our present study we have isolated fungi Penicillium italicum from wasp nest soil and checked the symbiotic relation is more promising than the individual growth. Further the study was subjected to extracellular biosynthesis of silver nanoparticles. The biosynthesized nanoparticles were characterized by various techniques followed by antibacterial and antifungal activity against multi drug bacterial pathogens like Staphylococcus aureus, Vibrio parahaemolyticus, E. coli, Shewanella putrefaciens and fungal pathogen of Candida albicans. The silver nanoparticles were synthesized by adding silver nitrate to the culture extract of Penicillium italicum. The UV-Vis spectrophotometer showed the absorption peak at 419–421 nm and the Scanning Electron Microscopy showed the particle size of 33 nm. The Synthesized silver nanoparticles were found to have diverse antimicrobial activities against the pathogens at different pH. Antimicrobial assay of silver nanoparticles from P. italicum revealed that the synthesized nanoparticle had good effect at different levels to MDR pathogen of Staphylococcus aureus, Shewanella putrefaciens and fungal pathogen of Candida albicans. Synthesized nanoparticles from the fungi specially cultivated from the wasp nest soil has better antimicrobial activity against multi drug resistant pathogens MDRs and is reliable, ecofriendly economic to synthesizes the noble nanomaterials.
Keywords	Candida albicans ; Escherichia coli ; Penicillium italicum ; Shewanella putrefaciens ; Staphylococcus aureus ; Vibrio parahaemolyticus ; absorption ; antibiotics ; antifungal properties ; biosynthesis ; drug resistance ; drugs ; mortality ; nanoparticles ; nanosilver ; nests ; pH ; particle size ; pathogens ; scanning electron microscopy ; silver nitrate ; soil ; soil fungi ; symbiosis ; ultraviolet-visible spectroscopy ; wasps
Language	English
Dates of publication	2018-10
Size	p. 412-418.
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	2642052-1
ISSN	1878-8181
ISSN	1878-8181
DOI	10.1016/j.bcab.2018.09.014
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Ensemble Deep Learning and Internet of Things-Based Automated COVID-19 Diagnosis Framework.

Kini, Anita S / Gopal Reddy, A Nanda / Kaur, Manjit / Satheesh, S / Singh, Jagendra / Martinetz, Thomas / Alshazly, Hammam

Contrast media & molecular imaging

2022 Volume 2022, Page(s) 7377502

Abstract: Coronavirus disease (COVID-19) is a viral infection caused by SARS-CoV-2. The modalities such as computed tomography (CT) have been successfully utilized for the early stage diagnosis of COVID-19 infected patients. Recently, many researchers have ... ...

Abstract	Coronavirus disease (COVID-19) is a viral infection caused by SARS-CoV-2. The modalities such as computed tomography (CT) have been successfully utilized for the early stage diagnosis of COVID-19 infected patients. Recently, many researchers have utilized deep learning models for the automated screening of COVID-19 suspected cases. An ensemble deep learning and Internet of Things (IoT) based framework is proposed for screening of COVID-19 suspected cases. Three well-known pretrained deep learning models are ensembled. The medical IoT devices are utilized to collect the CT scans, and automated diagnoses are performed on IoT servers. The proposed framework is compared with thirteen competitive models over a four-class dataset. Experimental results reveal that the proposed ensembled deep learning model yielded 98.98% accuracy. Moreover, the model outperforms all competitive models in terms of other performance metrics achieving 98.56% precision, 98.58% recall, 98.75% F-score, and 98.57% AUC. Therefore, the proposed framework can improve the acceleration of COVID-19 diagnosis.
MeSH term(s)	COVID-19/diagnostic imaging ; COVID-19 Testing ; Female ; Humans ; Male ; Neural Networks, Computer ; SARS-CoV-2 ; Tomography, X-Ray Computed
Language	English
Publishing date	2022-02-25
Publishing country	England
Document type	Journal Article
ZDB-ID	2232678-9
ISSN	1555-4317 ; 1555-4309
ISSN (online)	1555-4317
ISSN	1555-4309
DOI	10.1155/2022/7377502
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Article ; Online: An Innovative Machine Learning Approach for Classifying ECG Signals in Healthcare Devices

Kishore B / A. Nanda Gopal Reddy / Anila Kumar Chillara / Wesam Atef Hatamleh / Kamel Dine Haouam / Rohit Verma / B. Lakshmi Dhevi / Henry Kwame Atiglah

Journal of Healthcare Engineering, Vol

2022 Volume 2022

Abstract: An ECG is a diagnostic technique that examines and records the heart’s electrical impulses. It is easy to categorise and prevent computational abstractions in the ECG signal using the conventional method for obtaining ECG features. It is a significant ... ...

Abstract	An ECG is a diagnostic technique that examines and records the heart’s electrical impulses. It is easy to categorise and prevent computational abstractions in the ECG signal using the conventional method for obtaining ECG features. It is a significant issue, but it is also a difficult and time-consuming chore for cardiologists and medical professionals. The proposed classifier eliminates all of the following limitations. Machine learning in healthcare equipment reduces moral transgressions. This study’s primary purpose is to calculate the R-R interval and analyze the blockage utilising simple algorithms and approaches that give high accuracy. The MIT-BIH dataset may be used to rebuild the data. The acquired data may include both normal and abnormal ECGs. A Gabor filter is employed to generate a noiseless signal, and DCT-DOST is used to calculate the signal’s amplitude. The amplitude is computed to detect any cardiac anomalies. A genetic algorithm derives the main highlights from the R peak and cycle segment length underlying the ECG signal. So, combining data with specific qualities maximises identification. The genetic algorithm aids in hereditary computations, which aids in multitarget improvement. Finally, Radial Basis Function Neural Network (RBFNN) is presented as an example. An efficient feedforward neural network lowers the number of local minima in the signal. It shows progress in identifying both normal and abnormal ECG signals.
Keywords	Medicine (General) ; R5-920 ; Medical technology ; R855-855.5
Subject code	621
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Evaluation to prevent the Physical Changes in Colored Elastomeric Modules when exposed to various Dietary Media.

Kanya, S Dhivya / Babu, K Pradeep / Venkatesan, R / Kumar, A Nanda

The journal of contemporary dental practice

2017 Volume 18, Issue 6, Page(s) 458–462

Abstract: Aim and objective: The aim of the study is to analyze and compare the variation of lumen size and thickness of the elastomeric colored modules when immersed in four selected dietary media.: Materials and methods: Sample size of 40 modules on each ... ...

Abstract	Aim and objective: The aim of the study is to analyze and compare the variation of lumen size and thickness of the elastomeric colored modules when immersed in four selected dietary media. Materials and methods: Sample size of 40 modules on each color - such as red, blue, green, and black - was taken and immersed in four dietary media (artificial saliva, coke mixed with artificial saliva, turmeric mixed with artificial saliva, and coffee mixed with artificial saliva). Beakers containing different dietary media and color modules are kept in the incubator at 37°C for 72 hours. After incubation period, all the segments of module strips removed from the dietary media were placed under the electric lamp and photographs were taken using Canon camera (SX400 IS). Photographs were transferred to GIMP software, and lumen size and thickness variation in the modules was measured. Results: Statistical analysis were performed using analysis of variance and t-test in Statistical Package for the Social Sciences software. It showed significant difference in thickness of black module in all dietary media. Significant difference existed between all the lumen sizes of four color modules in four dietary media. Conclusion: This study was done to identify the material that has more changes in physical properties when exposed to various dietary media. Clinical significance: According to the results obtained, black color modules have increased in lumen size in all dietary media. In thickness, red color module showed less variation and black color module exhibited more variation.
MeSH term(s)	Carbonated Beverages ; Coffee ; Color ; Curcuma ; Elastomers ; Esthetics, Dental ; Humans ; Immersion ; Orthodontic Appliances ; Saliva, Artificial
Chemical Substances	Coffee ; Elastomers ; Saliva, Artificial
Language	English
Publishing date	2017-06-01
Publishing country	India
Document type	Journal Article
ISSN	1526-3711
ISSN (online)	1526-3711
DOI	10.5005/jp-journals-10024-2065
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Article ; Online: An Innovative Machine Learning Approach for Classifying ECG Signals in Healthcare Devices.

B, Kishore / Gopal Reddy, A Nanda / Kumar Chillara, Anila / Hatamleh, Wesam Atef / Haouam, Kamel Dine / Verma, Rohit / Dhevi, B Lakshmi / Atiglah, Henry Kwame

Journal of healthcare engineering

2022 Volume 2022, Page(s) 7194419

Abstract: An ECG is a diagnostic technique that examines and records the heart's electrical impulses. It is easy to categorise and prevent computational abstractions in the ECG signal using the conventional method for obtaining ECG features. It is a significant ... ...

Abstract	An ECG is a diagnostic technique that examines and records the heart's electrical impulses. It is easy to categorise and prevent computational abstractions in the ECG signal using the conventional method for obtaining ECG features. It is a significant issue, but it is also a difficult and time-consuming chore for cardiologists and medical professionals. The proposed classifier eliminates all of the following limitations. Machine learning in healthcare equipment reduces moral transgressions. This study's primary purpose is to calculate the R-R interval and analyze the blockage utilising simple algorithms and approaches that give high accuracy. The MIT-BIH dataset may be used to rebuild the data. The acquired data may include both normal and abnormal ECGs. A Gabor filter is employed to generate a noiseless signal, and DCT-DOST is used to calculate the signal's amplitude. The amplitude is computed to detect any cardiac anomalies. A genetic algorithm derives the main highlights from the
MeSH term(s)	Acquired Immunodeficiency Syndrome ; Algorithms ; Arrhythmias, Cardiac ; Delivery of Health Care ; Electrocardiography/methods ; Humans ; Machine Learning ; Signal Processing, Computer-Assisted
Language	English
Publishing date	2022-04-13
Publishing country	England
Document type	Journal Article
ZDB-ID	2545054-2
ISSN	2040-2309 ; 2040-2295
ISSN (online)	2040-2309
ISSN	2040-2295
DOI	10.1155/2022/7194419
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Article ; Online: Pseudomeningocele formation following chiari decompression

R Menger / D E Connor / M Hefner / G Caldito / A Nanda

Surgical Neurology International, Vol 6, Iss 1, Pp 70-

19-year retrospective review of predisposing and prognostic factors

2015 Volume 70

Abstract: Background: Pseudomeningocele is a known operative complication of Chiari decompression with significant morbidity. Methods: A retrospective analysis of 150 consecutive patients from November 1991 to June 2011 was conducted. Symptomatic pseudomeningocele ...

Abstract	Background: Pseudomeningocele is a known operative complication of Chiari decompression with significant morbidity. Methods: A retrospective analysis of 150 consecutive patients from November 1991 to June 2011 was conducted. Symptomatic pseudomeningocele was defined clinically; to meet definition it must have required operative intervention. Variables evaluated included sex, age, use of graft, and use of operative sealant. The Chi-square, Fisher test, and the two-sample t-test were used as appropriate to determine significance. Multiple logistic regression was used to determine independent risk factors for complication. Results: A total of 67.3% of patients were female, with average age being 39.7 years. A total of 67.3% of patients had a graft placed with the most common being fascia lata. Only nine patients (6%) presented with pseudomeningocele. Factors observed to be significantly associated with pseudomeningocele development were age and use of sealant. Age and sealant use were also independent risk factors for complication. Adjusted for the significant effect of age, odds for complication among patients with sealant usage were 6.67 times those for patients without sealant. Adjusted for the significance of sealant usage, there is a 6% increase in odds for complication for every year increase in patient′s age. Conclusions: A statistically significant relationship exists between age and sealant use and the risk of developing a postoperative pseudomeningocele. Emphasis and attention must be placed on meticulous closure technique. This information can aide in preoperative planning and patient selection.
Keywords	Arnold-Chiari malformation ; operative complications ; operative sealant ; pseudomeningocele ; Medicine ; R ; Surgery ; RD1-811 ; Internal medicine ; RC31-1245 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571 ; Neurology. Diseases of the nervous system ; RC346-429
Subject code	610
Publishing date	2015-01-01T00:00:00Z
Publisher	Medknow Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Early prevention and intervention of Class II division 1 in growing patients.

Keerthi, V Naga / Kanya, S Dhivya / Babu, K Pradeep / Mathew, Anoop / Kumar, A Nanda

Journal of International Society of Preventive & Community Dentistry

2016 Volume 6, Issue Suppl 1, Page(s) S79–83

Abstract: Early screening and diagnosis help in preventing and intercepting the severity of the malocclusion which helps in addressing the esthetic and functional concerns. Growth modulation such as mandibular advancement has been an effective procedure in ... ...

Abstract	Early screening and diagnosis help in preventing and intercepting the severity of the malocclusion which helps in addressing the esthetic and functional concerns. Growth modulation such as mandibular advancement has been an effective procedure in orthodontics. Mandibular growth advancer (MGA) and PowerScope are gaining popularity recently as these are effective in achieving the mandibular advancement and ease of fabrication, placement, and wear. MGA was fabricated by making the upper and lower splints separately and are placed in the oral cavity by joining the two splints in the new construction bite using cold cure, MGA when worn during growth phase helps in condylar remodeling in the temporomandibular joint thus helps in advancement of the mandible. The proclination of the upper anteriors in Class II division 1 can be moved lingually by activating the labial bow in the splint. Dr. Andy Hayes worked in conjunction with American orthodontics developed PowerScope. PowerScope delivers Class II correction with a combination of patient comfort and ease of use that was unmatched among other appliances. This ready to use chairside solution required no laboratory setup, making for a much quicker, and easier installation process and appointment. PowerScopes high quality, fixed one-piece design requires no patient compliance. These superior qualities of PowerScope help in correction of Class II skeletal growing patient in conjunction with fixed orthodontic therapy. MGA and PowerScope were chosen as a functional appliance for this study, which shows decreased ANB angle and effective mandible length was increased.
Language	English
Publishing date	2016-02-23
Publishing country	India
Document type	Case Reports
ZDB-ID	2734043-0
ISSN	2250-1002 ; 2231-0762
ISSN (online)	2250-1002
ISSN	2231-0762
DOI	10.4103/2231-0762.181191
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Article ; Online: Synthesis, Characterization and Performance Study of Phosphosilicate Gel-Sulfonated Poly (Ether Ether Ketone) Nanocomposite Membrane for Fuel Cell Application

S. Ganguly / K. Kargupta / A. Nanda / C.K. Dhole

Journal of Nano- and Electronic Physics, Vol 4, Iss 1, Pp 01015-

2012 Volume 1

Abstract: Phosphosilicate gel – SPEEK (Sulfonated Poly Ether Ether Ketone) hybrid nanocomposite membranes are proposed for performance enhancement of polymer electrolyte fuel cell. The nanocomposite membranes are synthesized and characterized at 50 and 60 weight ... ...

Abstract	Phosphosilicate gel – SPEEK (Sulfonated Poly Ether Ether Ketone) hybrid nanocomposite membranes are proposed for performance enhancement of polymer electrolyte fuel cell. The nanocomposite membranes are synthesized and characterized at 50 and 60 weight percent of inorganic loading. Phosphosilicate gel particles of varying size (sub micro to nanometer) are synthesized using sol gel approach followed by grinding using planetary ball mill for different time. Transmission Electron Microscopy (TEM) reveals less than 10 nm particle size for 20 hr grinding. Nano composite membrane having inorganic particles of size less than 10 nm exhibits higher values of proton conductivity, ion exchange capacity and water uptake compared to composite membrane comprising of larger (400 nm and above) inorganic particles. The membrane is assembled with the electrode in the unit cell and the polarization characteristics are measured at different operating temperatures. Performance study reveals that between 70 to 80 C the membrane offers best performance in terms of peak power generation and of allowable load current. For the same conditions 40-50 % nano-enhancement of peak power generation is achieved by reducing the average gel particle size from sub micro to less than 10 nm. At medium temperature (between 70 to 80 C) the nanocomposite membrane offers more than 100 enhancement of peak power generation compared to that generated by SPEEK membrane. Phosphosilicate gel – SPEEK (Sulfonated Poly Ether Ether Ketone) hybrid nanocomposite membranes are proposed for performance enhancement of polymer electrolyte fuel cell. The nanocomposite membranes are synthesized and characterized at 50 and 60 weight percent of inorganic loading. Phosphosilicate gel particles of varying size (sub micro to nanometer) are synthesized using sol gel approach followed by grinding using planetary ball mill for different time. Transmission Electron Microscopy (TEM) reveals less than 10 nm particle size for 20 hr grinding. Nano composite membrane having inorganic particles of size less than 10 nm exhibits higher values of proton conductivity, ion exchange capacity and water uptake compared to composite membrane comprising of larger (400 nm and above) inorganic particles. The membrane is assembled with the electrode in the unit cell and the polarization characteristics are measured at different operating temperatures. Performance study reveals that between 70 to 80 C the membrane offers best performance in terms of peak power generation and of allowable load current. For the same conditions 40-50 % nano-enhancement of peak power generation is achieved by reducing the average gel particle size from sub micro to less than 10 nm. At medium temperature (between 70 to 80 C) the nanocomposite membrane offers more than 100 enhancement of peak power generation compared to that generated by SPEEK membrane. Phosphosilicate gel – SPEEK (Sulfonated Poly Ether Ether Ketone) hybrid nanocomposite membranes are proposed for performance enhancement of polymer electrolyte fuel cell. The nanocomposite membranes are synthesized and characterized at 50 and 60 weight percent of inorganic loading. Phosphosilicate gel particles of varying size (sub micro to nanometer) are synthesized using sol gel approach followed by grinding using planetary ball mill for different time. Transmission Electron Microscopy (TEM) reveals less than 10 nm particle size for 20 hr grinding. Nano composite membrane having inorganic particles of size less than 10 nm exhibits higher values of proton conductivity, ion exchange capacity and water uptake compared to composite membrane comprising of larger (400 nm and above) inorganic particles. The membrane is assembled with the electrode in the unit cell and the polarization characteristics are measured at different operating temperatures. Performance study reveals that between 70 to 80 C the membrane offers best performance in terms of peak power generation and of allowable load current. For the same conditions 40-50 % nano-enhancement of peak power generation is achieved by reducing the average gel particle size from sub micro to less than 10 nm. At medium temperature (between 70 to 80 C) the nanocomposite membrane offers more than 100 enhancement of peak power generation compared to that generated by SPEEK membrane.
Keywords	Organic-inorganic nanocomposite ; Fuel cell ; Phosphosilicate gel ; SPEEK ; Performance enhancemen ; Electricity and magnetism ; QC501-766 ; Physics ; QC1-999 ; Science ; Q ; DOAJ:Electricity ; DOAJ:Physics (General) ; DOAJ:Physics and Astronomy
Subject code	620
Language	English
Publishing date	2012-03-01T00:00:00Z
Publisher	Sumy State University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Ventilator malfunction

B R Krishna Kumar / M Ravi / K Dinesh / A Nanda

Journal of Anaesthesiology Clinical Pharmacology, Vol 27, Iss 4, Pp 576-

2011 Volume 576

Keywords	Medicine ; R ; Surgery ; RD1-811 ; Anesthesiology ; RD78.3-87.3
Publishing date	2011-01-01T00:00:00Z
Publisher	Medknow Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Evaluating the Correlation between Anteroposterior and Mediolateral Compensatory Curves and their Influence on Dentoskeletal Morphology-An In vitro CBCT Study.

Babu, K Suresh / Kumar, A Nanda / Kommi, Pradeep Babu / Krishnan, P Hari / Kumar, M Senthil / Sabapathy, R Senkutvan / Kumar, V Vijay

Journal of clinical and diagnostic research : JCDR

2017 Volume 11, Issue 8, Page(s) ZC49–ZC52

Abstract: Introduction: To date, many orthodontist corrects malocclusion based on patients aesthetic concern and fails to correct the compensatory curves. This scenario is due to less insight on understanding relationship of compensatory curves and its ... ...

Abstract	Introduction: To date, many orthodontist corrects malocclusion based on patients aesthetic concern and fails to correct the compensatory curves. This scenario is due to less insight on understanding relationship of compensatory curves and its correlation in treatment prognosis. Aim: The purpose of this study was to evaluate the correlation between the curve of Spee, curve of Monson and curve of Wilson, their influence on dentoskeletal morphology and their contribution to occlusal stability. Materials and methods: This study included 104 non-orthodontic models. The study casts were subdivided into two groups, Group-I consist 52 non- orthodontic models with Class-I molar relationship and Group-II consist of 52 non- orthodontic models with Class-II molar relationship. Curve of Spee was measured with digital vernier caliper, curve of Monson estimated using specially made sphere (7″inch, 8″ inch and 9″inch) and curve of Wilson was evaluated using Cone Beam Computed Technology (CBCT). Results: Mean value for curve of Spee obtained for Group I and Group II is 1.844 mm and 3.188 mm. For curve of Monson, the mean value obtained for Group I and Group-II is 7.65 inches and 7.40 inches. The mean degree obtained for the curve of Wilson for Group I and Group-II is 12.05 and 16.49. The result showed positive correlation between curve of Spee and curve of Wilson and no correlation between curve of Monson and curve of Wilson and no correlation between curve of Spee and curve of Monson. The Pearson correlation coefficient analysis from the study confirmed these results. Conclusion: The results showed positive correlation between curve of spee and curve of Wilson. The data found in this study can be applied clinically for Class I and Class II malocclusion patients on diagnosis and treatment planning.
Language	English
Publishing date	2017-08-01
Publishing country	India
Document type	Journal Article
ZDB-ID	2775283-5
ISSN	0973-709X ; 2249-782X
ISSN (online)	0973-709X
ISSN	2249-782X
DOI	10.7860/JCDR/2017/28670.10400
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