Mayank Mishra 029 - Academia.edu (original) (raw)

Papers by Mayank Mishra 029

Journal of Clinical Tuberculosis and Other Mycobacterial Diseases

arXiv (Cornell University), Oct 27, 2021

Meta Learning has been in focus in recent years due to the metalearner model's ability to adapt w... more Meta Learning has been in focus in recent years due to the metalearner model's ability to adapt well and generalize to new tasks, thus, reducing both the time and data requirements for learning. However, a major drawback of meta learner is that, to reach to a state from where learning new tasks becomes feasible with less data, it requires a large number of iterations and a lot of time. We address this issue by proposing various acceleration techniques to speed up meta learning algorithms such as MAML (Model Agnostic Meta Learning). We present 3.73X acceleration on a well known RNN optimizer based meta learner proposed in literature [11]. We introduce a novel method of training tasks in clusters, which not only accelerates the meta learning process but also improves model accuracy performance.

Indian Journal of Tuberculosis, 2021

BACKGROUND Multidrug-Resistant Tuberculosis is a fatal form because of high morbidity and poor re... more BACKGROUND Multidrug-Resistant Tuberculosis is a fatal form because of high morbidity and poor recovery. Improper use of first line medicines and default treatment are the prime reasons of developing resistance of mycobacterium towards conventional anti- TB drugs. Nurses with refined knowledge, current evidence and positive attitude can prevent arising of MDR TB cases by ensuring adequate treatment, promoting treatment adherence and real time case monitoring. Because of paucity of data, present study was aimed to assess efficacy of m-learning in improving knowledge and attitude of nurses about the prevention and control of MDR-TB. METHODS In this Quasi-randomized study, nurses working in the unit of pulmonary, emergency, respiratory ICU, general medicine of AIIMS Rishikesh during the months of August-October 2019 were involved. The number of participation was 190 (95 in each group; experimental and control) where m-learning intervention was available only for experimental group. There were structured questionnaire to measure knowledge and dichotomous checklist to evaluate attitude of nurses of both group before and one week after the provision of m-learning module. RESULTS Both the group was homogeneous and m-learning intervention was effective to improve knowledge, when compared post-test knowledge score between experimental and control group (18.2 ± 5.4 vs 12.4 ± 4.4; P < 0.001); however, this one-time social media based intervention could not improve attitude of participants (10.3 ± 1.8 vs. 9.9 ± 1.8; P = 0.175). CONCLUSION Hence, m-learning is useful for knowledge development among large number of nurses within limited resource setting but frequent provision of technology based module is recommended to acquire positive attitude among nurses.

2020 IEEE International Conference on Plasma Science (ICOPS), 2020

Controlling the magnetic properties of materials is important for applications like magnetization... more Controlling the magnetic properties of materials is important for applications like magnetization switching, spin torque oscillators etc. Introduction of defects into materials has been demonstrated to change properties like damping and spin to charge conversion [1], [2]. Defect engineering in materials can be achieved by exposing to magnetic materials to high energy plasma. In the present study, 100 nm CoFeTaZr thin film was exposed to different shots of a large-volume slow-focus-mode dense plasma focus device to induce defects and modulate the magnetic properties like damping, anisotropy. The plasma temperature and density were studied using a faraday cup to tune the penetration depth of the ions in the magnetic material. The ferromagnetic resonance spectra of the samples with different ion doses were studied using impedance measurements in the frequency range of 1.6 GHz to 2.50 GHz. It was seen that the Gilberts damping factor, effective magnetization and anisotropic magnetization could be modulated with implantation using dense plasma focus.

2020 IEEE International Conference on Plasma Science (ICOPS), 2020

Dense Plasma Focus (DPF) devices are pulse plasma devices which are capable to generate few keV t... more Dense Plasma Focus (DPF) devices are pulse plasma devices which are capable to generate few keV to MeV ions. The burst of energetic ions presents in plasma shots generated by DPF devices, can be used for impanation in the desired materials for various application from electronics to spintronics. Here, we present an advance way of gradient implantation using DPF in the heavy metal without much effecting the surface properties of the thin film. In order to implant desired ions such as oxygen, carbon, nitrogen, argon etc. new electrodes were designed, providing gentler plasma pinch phase, with increased plasma volume. To study the effect of the new electrode design electrical characteristics were performed in detail and with the help Lee code the plasma parameter like plasma temperature, plasma duration etc. was estimated. Optical imaging diagnostic (using gated ICCD camera), faraday cup measurements and x-ray pin-diode spectroscopy, was used to investigate the plasma dynamics, plasma density and plasma temperature. The designed electrode assembly can be used to generate defects and modify the material properties required for electronics, photonics and spintronics applications.

The paper intends to conduct a spatial reading of civil resistance movements taking Jawaharlal Ne... more The paper intends to conduct a spatial reading of civil resistance movements taking Jawaharlal Nehru University’s (JNU) #FeeMustFall in India as the case study. Amidst penetration of neoliberal politics in public goods like health and education, the pay-per-user principle is not limited to the argument of efficiency of allocation of resources. It can be comprehended as the larger strategy of the ruling dispensation to deplatform dissent and homogenise state space on an ideological singularity catering to majoritarian and hegemonic nationalism. The paper shall focus on the spatial reading of civil resistance movements using Lefebvre’s characterisation of state space and Gramsci’s understanding of hegemony and nationalism locating in the context of JNU’s #FeeMustFall movement.

Indian courts are clogged with large backlogs. Part of the reason for the problem is that cases t... more Indian courts are clogged with large backlogs. Part of the reason for the problem is that cases take a very long time to move through the courts. The slow progress of court cases is harmful for the Indian democracy and economy.We suggest that part of the reason for the backlog is the poor administrative support available to judges. Following several Supreme Court judgements, we propose that a separate organisation (The Indian Courts and Tribunals Services, ICTS) be set up to facilitate administrative functions. Care needs to be taken while designing ICTS to ensure the protection of judicial independence. The functions of ICTS would also involve a reengineering of the business processes of the courts to take full advantage of modern technology.

2021 IEEE India Council International Subsections Conference (INDISCON), 2021

This paper aims to classify images of handwritten characters in the Devanagari script. We impleme... more This paper aims to classify images of handwritten characters in the Devanagari script. We implement a ResNet architecture with 85 convolution layers to classify images on the publicly available Devanagari Handwritten Character Dataset (DHCD), that holds 92,000 images divided into 46 different classes. Our network implements the bottleneck variant of the residual module and executes the pre-activation method where the activation function and batch normalization are placed before the convolutions. This model outperforms previous works done to date on DHCD by recording an accuracy of 99.72%.

Mechanics of Advanced Materials and Structures, 2021

Present work examines flexural–torsional coupling for static and stability analysis of thin-walle... more Present work examines flexural–torsional coupling for static and stability analysis of thin-walled composite beams having variable stiffness. Variable stiffness composites (VSCs), manufactured with...

Journal of Family Medicine and Primary Care, 2020

This case is being reported to draw the attention of non-cardiac practicing physicians including ... more This case is being reported to draw the attention of non-cardiac practicing physicians including pulmonologists, intensivists, and, as a matter of fact all primary care and emergency clinicians, towards a relatively uncommon ECG finding that could be the potential lead in suspecting the diagnosis of a commonly encountered, often fatal medical condition. Together with a high clinical index of suspicion, this alone could guide the decision-making process for further work-up and specific therapy.

International Surgery Journal, 2018

Background: Enteric perforation is most frequent encountered acute surgical emergency in Northern... more Background: Enteric perforation is most frequent encountered acute surgical emergency in Northern India and immediate warrants operative intervention. But the kind of intervention, whether primary repair or ileostomy is always a topic of debate for a long era.Methods: Sixty cases of ileal perforation were studied retrospectively from Feb. 2016 to august 2017 and information had been accumulated on clinical presentation, demographic profile and laboratory data. Details were obtained for operative findings and appropriate method of operative intervention done and later postoperative course of the patients in fallow up.Results: Ileal perforation occurred mostly in young males (age 28.2±10.9 years). Male and Female ratio has been found to be 5: 1. In present study 60% of patients had Widal positive supporting typhoid aetiology; Blood culture was positive for salmonella typhi in 21 (35%) cases. 67.3% of patients underwent primary closure, while 32.7% underwent ileostomy. Nature of clinic...

Journal of Civil Structural Health Monitoring, 2020

Historical buildings, such as museums, are an important class of buildings because ancient histor... more Historical buildings, such as museums, are an important class of buildings because ancient historical artefacts are collected and preserved in them. These buildings must be maintained to prolong their service life and monitored continuously for possible signs of building damages. Determining the compressive strength is essential for predicting the remaining service life of museums because monumental museum buildings usually comprise load-bearing masonry walls. This study analysed the applicability of three machine learning techniques as alternative methods for predicting the compressive strength of masonry constructions. A database was established by performing experimental testing on 44 masonry specimens. In the nondestructive techniques used, the ultrasonic pulse velocity and the rebound number were inputs and the compressive strength of masonry unit (f mu) was the desired output. The remaining compressive strength of a museum was determined using commonly available nondestructive testing apparatus. The model predictions obtained through nondestructive measurements were compared with the experimental results obtained through the destructive testing of masonry units in the laboratory. The proposed approach was compared with traditional empirical models and commonly used machine learning techniques. The analyses revealed that machine learning techniques are robust, can successfully be used for the prediction of the remaining compressive strength of historical constructions, and thus can provide decision support for inspection professionals.

International Journal of Current Microbiology and Applied Sciences, 2019

SN Applied Sciences, 2019

Structural health monitoring is crucial for the timely damage diagnosis of civil infrastructure. ... more Structural health monitoring is crucial for the timely damage diagnosis of civil infrastructure. This paper explores the damage detection method based on the ant colony algorithm (ACO) by using Hooke-Jeeves (HJ) pattern search for intensification. The HJ is incorporated into the ACO to improve its performance in detecting damages. The damage is simulated by reducing the stiffness of the structural members, via elastic modulus reduction factor. Four civil engineering structures of varying complexity are analysed for low-and high-level damage scenarios to test the efficacy of the proposed approach. An inverse problem is formulated to minimise the objective function based on the frequency response function rather than using the frequency and mode-shape-based approach. The analysis results indicate that the proposed method can locate damages and identify their severity with higher precision than previously used GA, SPSO, and UPSO can.

Journal of Civil Structural Health Monitoring, 2018

Structural damage assessment is crucial for structural health monitoring to evaluate the safety a... more Structural damage assessment is crucial for structural health monitoring to evaluate the safety and residual service life of the structure. To solve the structural damage detection problem, various optimisation techniques have been in use. However, they fail to identify damage and are prone to converge to local optima for improper tuning of algorithm-specific parameters, which are problem specific. In this study, the recently proposed ant lion optimiser, which is a population-based search algorithm, mimicked the hunting behaviour of antlions, was used for assessing structural damage. The objective function for damage detection was based on vibration data, such as natural frequencies and mode shapes. The effectiveness of the proposed technique was evaluated against several benchmark problems with different damage settings. The results indicate that the proposed algorithm required fewer parameters than other metaheuristic algorithms to identify the location and extent of damage.

Lung India : official organ of Indian Chest Society

Chronic obstructive pulmonary disease (COPD) is a disease with known systemic manifestations incl... more Chronic obstructive pulmonary disease (COPD) is a disease with known systemic manifestations including psychiatric comorbidities most commonly being depression and/or anxiety. Studies regarding the association of these psychiatric comorbidities in terms of symptom scores, spirometric variables, and hospitalizations among patients of COPD are lacking, especially in India. One hundred and twenty-eight patients of COPD attending the Outpatient Department of AIIMS Rishikesh, and fulfilling inclusion criteria were screened by Hospital Anxiety and Depression Scale, and those who scored above the cutoff underwent psychiatric evaluation using the International Classification of Diseases, Tenth Edition Diagnostic Criteria for Research for confirmation of their diagnosis. All patients were then evaluated by physician-administered questionnaire for symptom scores by Modified Medical Research Council Scale (mMRC) for dyspnea, Hindi-validated Clinical COPD Questionnaire (CCQ), and for functional...

International Surgery Journal, 2017

Study report the case of middle aged male who was presented with abdomen pain and diagnosed of sm... more Study report the case of middle aged male who was presented with abdomen pain and diagnosed of small bowel obstruction caused by bezoar in a case of tubercular abdomen and review the literature. The initial presentation was generalised pain with nausea and vomiting and abdominal distension. Plain abdomen film showed diffuse dilated bowel loop in upper abdomen. Patient had similar recurrent episode 12 months back when he was managed conservatively and diagnosed as tubercular abdomen and he had taken ATT for 3 months. At this time patient managed conservatively, but did not respond. Later a CECT whole abdomen was done and patient diagnosed as cocoon abdomen with mass or a foreign body impacted at distal jejunal region with proximal bowel dilatation. Later patient revealed ingestion of a large mango seed 4 months back. Later patient was explored, adhesionolysis and enterotomy was done and phytobezoar was removed. Early history of recurrent tubercular obstruction with non- specific symp...

International Journal of Engineering and Technology, 2017

With the rapid development in the digital world, the authentication and protection of the data i.... more With the rapid development in the digital world, the authentication and protection of the data i.e. audio, image, video, is one of the major problem in the present era. Digital watermarking is the technique to provide copyright protection of the data. In past and in recent years many algorithms or schemes have been introduced for copyright protection of images. Among which few are unable to recover the original image after embedding the watermark i.e. the image get distorted during extraction of watermark. And few schemes are reversible in nature. In this paper, we proposed a watermarking scheme in discrete wavelet transform (DWT) domain, which is not only reversible in nature but also robust against various attacks in providing copyright protection of images. In the proposed scheme, watermark is embedded at third and fourth level DWT and extracted watermark is compared with original watermark. Watermarked image is attacked by various types of attacks to check the invisibility, robustness & effectiveness of the scheme. Watermark is extracted from the attacked watermarked image and then compared with original watermark based on normalized correlation to validate the proposed scheme of providing reversibility in digital watermarking. It is useful in various real time applications such as: copyright protection, broadcast monitoring, content archiving, digital fingerprinting, etc.

Neurology India

Critical illness polyneuropathy (CIP) is a common complication of severe sepsis and systemic infl... more Critical illness polyneuropathy (CIP) is a common complication of severe sepsis and systemic inflammatory response syndrome (SIRS). The risk factors for sepsis-induced CIP have not been well established. The aim of this study was to find out the risk factors of sepsis-induced CIP, especially its relationship with the severity of illness. A cohort of 100 patients with sepsis defined as SIRS of proven or presumed microbial etiology were followed up with nerve conduction studies (NCS) performed within the first 14 days of admission. If the assessment was normal then the study was repeated between day 21 and 28. The two groups (with and without neuropathy) were compared. The following risk factors were evaluated for the development of sepsis-related CIP: Duration of symptoms, stay in Intensive Care Unit, and mechanical ventilation; use of neuromuscular blocking agents (NMBAs), steroids, insulin infusion, and inotropes. The following laboratory parameters recorded in the first 24 h of ad...

Textbook of Pharmacology, Pathology and Genetics for Nurses (2 Volumes), 2016

Journal of Clinical Tuberculosis and Other Mycobacterial Diseases

arXiv (Cornell University), Oct 27, 2021

Meta Learning has been in focus in recent years due to the metalearner model's ability to adapt w... more Meta Learning has been in focus in recent years due to the metalearner model's ability to adapt well and generalize to new tasks, thus, reducing both the time and data requirements for learning. However, a major drawback of meta learner is that, to reach to a state from where learning new tasks becomes feasible with less data, it requires a large number of iterations and a lot of time. We address this issue by proposing various acceleration techniques to speed up meta learning algorithms such as MAML (Model Agnostic Meta Learning). We present 3.73X acceleration on a well known RNN optimizer based meta learner proposed in literature [11]. We introduce a novel method of training tasks in clusters, which not only accelerates the meta learning process but also improves model accuracy performance.

Indian Journal of Tuberculosis, 2021

BACKGROUND Multidrug-Resistant Tuberculosis is a fatal form because of high morbidity and poor re... more BACKGROUND Multidrug-Resistant Tuberculosis is a fatal form because of high morbidity and poor recovery. Improper use of first line medicines and default treatment are the prime reasons of developing resistance of mycobacterium towards conventional anti- TB drugs. Nurses with refined knowledge, current evidence and positive attitude can prevent arising of MDR TB cases by ensuring adequate treatment, promoting treatment adherence and real time case monitoring. Because of paucity of data, present study was aimed to assess efficacy of m-learning in improving knowledge and attitude of nurses about the prevention and control of MDR-TB. METHODS In this Quasi-randomized study, nurses working in the unit of pulmonary, emergency, respiratory ICU, general medicine of AIIMS Rishikesh during the months of August-October 2019 were involved. The number of participation was 190 (95 in each group; experimental and control) where m-learning intervention was available only for experimental group. There were structured questionnaire to measure knowledge and dichotomous checklist to evaluate attitude of nurses of both group before and one week after the provision of m-learning module. RESULTS Both the group was homogeneous and m-learning intervention was effective to improve knowledge, when compared post-test knowledge score between experimental and control group (18.2 ± 5.4 vs 12.4 ± 4.4; P < 0.001); however, this one-time social media based intervention could not improve attitude of participants (10.3 ± 1.8 vs. 9.9 ± 1.8; P = 0.175). CONCLUSION Hence, m-learning is useful for knowledge development among large number of nurses within limited resource setting but frequent provision of technology based module is recommended to acquire positive attitude among nurses.

2020 IEEE International Conference on Plasma Science (ICOPS), 2020

Controlling the magnetic properties of materials is important for applications like magnetization... more Controlling the magnetic properties of materials is important for applications like magnetization switching, spin torque oscillators etc. Introduction of defects into materials has been demonstrated to change properties like damping and spin to charge conversion [1], [2]. Defect engineering in materials can be achieved by exposing to magnetic materials to high energy plasma. In the present study, 100 nm CoFeTaZr thin film was exposed to different shots of a large-volume slow-focus-mode dense plasma focus device to induce defects and modulate the magnetic properties like damping, anisotropy. The plasma temperature and density were studied using a faraday cup to tune the penetration depth of the ions in the magnetic material. The ferromagnetic resonance spectra of the samples with different ion doses were studied using impedance measurements in the frequency range of 1.6 GHz to 2.50 GHz. It was seen that the Gilberts damping factor, effective magnetization and anisotropic magnetization could be modulated with implantation using dense plasma focus.

2020 IEEE International Conference on Plasma Science (ICOPS), 2020

Dense Plasma Focus (DPF) devices are pulse plasma devices which are capable to generate few keV t... more Dense Plasma Focus (DPF) devices are pulse plasma devices which are capable to generate few keV to MeV ions. The burst of energetic ions presents in plasma shots generated by DPF devices, can be used for impanation in the desired materials for various application from electronics to spintronics. Here, we present an advance way of gradient implantation using DPF in the heavy metal without much effecting the surface properties of the thin film. In order to implant desired ions such as oxygen, carbon, nitrogen, argon etc. new electrodes were designed, providing gentler plasma pinch phase, with increased plasma volume. To study the effect of the new electrode design electrical characteristics were performed in detail and with the help Lee code the plasma parameter like plasma temperature, plasma duration etc. was estimated. Optical imaging diagnostic (using gated ICCD camera), faraday cup measurements and x-ray pin-diode spectroscopy, was used to investigate the plasma dynamics, plasma density and plasma temperature. The designed electrode assembly can be used to generate defects and modify the material properties required for electronics, photonics and spintronics applications.

The paper intends to conduct a spatial reading of civil resistance movements taking Jawaharlal Ne... more The paper intends to conduct a spatial reading of civil resistance movements taking Jawaharlal Nehru University’s (JNU) #FeeMustFall in India as the case study. Amidst penetration of neoliberal politics in public goods like health and education, the pay-per-user principle is not limited to the argument of efficiency of allocation of resources. It can be comprehended as the larger strategy of the ruling dispensation to deplatform dissent and homogenise state space on an ideological singularity catering to majoritarian and hegemonic nationalism. The paper shall focus on the spatial reading of civil resistance movements using Lefebvre’s characterisation of state space and Gramsci’s understanding of hegemony and nationalism locating in the context of JNU’s #FeeMustFall movement.

Indian courts are clogged with large backlogs. Part of the reason for the problem is that cases t... more Indian courts are clogged with large backlogs. Part of the reason for the problem is that cases take a very long time to move through the courts. The slow progress of court cases is harmful for the Indian democracy and economy.We suggest that part of the reason for the backlog is the poor administrative support available to judges. Following several Supreme Court judgements, we propose that a separate organisation (The Indian Courts and Tribunals Services, ICTS) be set up to facilitate administrative functions. Care needs to be taken while designing ICTS to ensure the protection of judicial independence. The functions of ICTS would also involve a reengineering of the business processes of the courts to take full advantage of modern technology.

2021 IEEE India Council International Subsections Conference (INDISCON), 2021

This paper aims to classify images of handwritten characters in the Devanagari script. We impleme... more This paper aims to classify images of handwritten characters in the Devanagari script. We implement a ResNet architecture with 85 convolution layers to classify images on the publicly available Devanagari Handwritten Character Dataset (DHCD), that holds 92,000 images divided into 46 different classes. Our network implements the bottleneck variant of the residual module and executes the pre-activation method where the activation function and batch normalization are placed before the convolutions. This model outperforms previous works done to date on DHCD by recording an accuracy of 99.72%.

Mechanics of Advanced Materials and Structures, 2021

Present work examines flexural–torsional coupling for static and stability analysis of thin-walle... more Present work examines flexural–torsional coupling for static and stability analysis of thin-walled composite beams having variable stiffness. Variable stiffness composites (VSCs), manufactured with...

Journal of Family Medicine and Primary Care, 2020

This case is being reported to draw the attention of non-cardiac practicing physicians including ... more This case is being reported to draw the attention of non-cardiac practicing physicians including pulmonologists, intensivists, and, as a matter of fact all primary care and emergency clinicians, towards a relatively uncommon ECG finding that could be the potential lead in suspecting the diagnosis of a commonly encountered, often fatal medical condition. Together with a high clinical index of suspicion, this alone could guide the decision-making process for further work-up and specific therapy.

International Surgery Journal, 2018

Background: Enteric perforation is most frequent encountered acute surgical emergency in Northern... more Background: Enteric perforation is most frequent encountered acute surgical emergency in Northern India and immediate warrants operative intervention. But the kind of intervention, whether primary repair or ileostomy is always a topic of debate for a long era.Methods: Sixty cases of ileal perforation were studied retrospectively from Feb. 2016 to august 2017 and information had been accumulated on clinical presentation, demographic profile and laboratory data. Details were obtained for operative findings and appropriate method of operative intervention done and later postoperative course of the patients in fallow up.Results: Ileal perforation occurred mostly in young males (age 28.2±10.9 years). Male and Female ratio has been found to be 5: 1. In present study 60% of patients had Widal positive supporting typhoid aetiology; Blood culture was positive for salmonella typhi in 21 (35%) cases. 67.3% of patients underwent primary closure, while 32.7% underwent ileostomy. Nature of clinic...

Journal of Civil Structural Health Monitoring, 2020

Historical buildings, such as museums, are an important class of buildings because ancient histor... more Historical buildings, such as museums, are an important class of buildings because ancient historical artefacts are collected and preserved in them. These buildings must be maintained to prolong their service life and monitored continuously for possible signs of building damages. Determining the compressive strength is essential for predicting the remaining service life of museums because monumental museum buildings usually comprise load-bearing masonry walls. This study analysed the applicability of three machine learning techniques as alternative methods for predicting the compressive strength of masonry constructions. A database was established by performing experimental testing on 44 masonry specimens. In the nondestructive techniques used, the ultrasonic pulse velocity and the rebound number were inputs and the compressive strength of masonry unit (f mu) was the desired output. The remaining compressive strength of a museum was determined using commonly available nondestructive testing apparatus. The model predictions obtained through nondestructive measurements were compared with the experimental results obtained through the destructive testing of masonry units in the laboratory. The proposed approach was compared with traditional empirical models and commonly used machine learning techniques. The analyses revealed that machine learning techniques are robust, can successfully be used for the prediction of the remaining compressive strength of historical constructions, and thus can provide decision support for inspection professionals.

International Journal of Current Microbiology and Applied Sciences, 2019

SN Applied Sciences, 2019

Structural health monitoring is crucial for the timely damage diagnosis of civil infrastructure. ... more Structural health monitoring is crucial for the timely damage diagnosis of civil infrastructure. This paper explores the damage detection method based on the ant colony algorithm (ACO) by using Hooke-Jeeves (HJ) pattern search for intensification. The HJ is incorporated into the ACO to improve its performance in detecting damages. The damage is simulated by reducing the stiffness of the structural members, via elastic modulus reduction factor. Four civil engineering structures of varying complexity are analysed for low-and high-level damage scenarios to test the efficacy of the proposed approach. An inverse problem is formulated to minimise the objective function based on the frequency response function rather than using the frequency and mode-shape-based approach. The analysis results indicate that the proposed method can locate damages and identify their severity with higher precision than previously used GA, SPSO, and UPSO can.

Journal of Civil Structural Health Monitoring, 2018

Structural damage assessment is crucial for structural health monitoring to evaluate the safety a... more Structural damage assessment is crucial for structural health monitoring to evaluate the safety and residual service life of the structure. To solve the structural damage detection problem, various optimisation techniques have been in use. However, they fail to identify damage and are prone to converge to local optima for improper tuning of algorithm-specific parameters, which are problem specific. In this study, the recently proposed ant lion optimiser, which is a population-based search algorithm, mimicked the hunting behaviour of antlions, was used for assessing structural damage. The objective function for damage detection was based on vibration data, such as natural frequencies and mode shapes. The effectiveness of the proposed technique was evaluated against several benchmark problems with different damage settings. The results indicate that the proposed algorithm required fewer parameters than other metaheuristic algorithms to identify the location and extent of damage.

Lung India : official organ of Indian Chest Society

Chronic obstructive pulmonary disease (COPD) is a disease with known systemic manifestations incl... more Chronic obstructive pulmonary disease (COPD) is a disease with known systemic manifestations including psychiatric comorbidities most commonly being depression and/or anxiety. Studies regarding the association of these psychiatric comorbidities in terms of symptom scores, spirometric variables, and hospitalizations among patients of COPD are lacking, especially in India. One hundred and twenty-eight patients of COPD attending the Outpatient Department of AIIMS Rishikesh, and fulfilling inclusion criteria were screened by Hospital Anxiety and Depression Scale, and those who scored above the cutoff underwent psychiatric evaluation using the International Classification of Diseases, Tenth Edition Diagnostic Criteria for Research for confirmation of their diagnosis. All patients were then evaluated by physician-administered questionnaire for symptom scores by Modified Medical Research Council Scale (mMRC) for dyspnea, Hindi-validated Clinical COPD Questionnaire (CCQ), and for functional...

International Surgery Journal, 2017

Study report the case of middle aged male who was presented with abdomen pain and diagnosed of sm... more Study report the case of middle aged male who was presented with abdomen pain and diagnosed of small bowel obstruction caused by bezoar in a case of tubercular abdomen and review the literature. The initial presentation was generalised pain with nausea and vomiting and abdominal distension. Plain abdomen film showed diffuse dilated bowel loop in upper abdomen. Patient had similar recurrent episode 12 months back when he was managed conservatively and diagnosed as tubercular abdomen and he had taken ATT for 3 months. At this time patient managed conservatively, but did not respond. Later a CECT whole abdomen was done and patient diagnosed as cocoon abdomen with mass or a foreign body impacted at distal jejunal region with proximal bowel dilatation. Later patient revealed ingestion of a large mango seed 4 months back. Later patient was explored, adhesionolysis and enterotomy was done and phytobezoar was removed. Early history of recurrent tubercular obstruction with non- specific symp...

International Journal of Engineering and Technology, 2017

With the rapid development in the digital world, the authentication and protection of the data i.... more With the rapid development in the digital world, the authentication and protection of the data i.e. audio, image, video, is one of the major problem in the present era. Digital watermarking is the technique to provide copyright protection of the data. In past and in recent years many algorithms or schemes have been introduced for copyright protection of images. Among which few are unable to recover the original image after embedding the watermark i.e. the image get distorted during extraction of watermark. And few schemes are reversible in nature. In this paper, we proposed a watermarking scheme in discrete wavelet transform (DWT) domain, which is not only reversible in nature but also robust against various attacks in providing copyright protection of images. In the proposed scheme, watermark is embedded at third and fourth level DWT and extracted watermark is compared with original watermark. Watermarked image is attacked by various types of attacks to check the invisibility, robustness & effectiveness of the scheme. Watermark is extracted from the attacked watermarked image and then compared with original watermark based on normalized correlation to validate the proposed scheme of providing reversibility in digital watermarking. It is useful in various real time applications such as: copyright protection, broadcast monitoring, content archiving, digital fingerprinting, etc.

Neurology India

Critical illness polyneuropathy (CIP) is a common complication of severe sepsis and systemic infl... more Critical illness polyneuropathy (CIP) is a common complication of severe sepsis and systemic inflammatory response syndrome (SIRS). The risk factors for sepsis-induced CIP have not been well established. The aim of this study was to find out the risk factors of sepsis-induced CIP, especially its relationship with the severity of illness. A cohort of 100 patients with sepsis defined as SIRS of proven or presumed microbial etiology were followed up with nerve conduction studies (NCS) performed within the first 14 days of admission. If the assessment was normal then the study was repeated between day 21 and 28. The two groups (with and without neuropathy) were compared. The following risk factors were evaluated for the development of sepsis-related CIP: Duration of symptoms, stay in Intensive Care Unit, and mechanical ventilation; use of neuromuscular blocking agents (NMBAs), steroids, insulin infusion, and inotropes. The following laboratory parameters recorded in the first 24 h of ad...

Textbook of Pharmacology, Pathology and Genetics for Nurses (2 Volumes), 2016