21 research outputs found

    Genotype independent regeneration and agrobacterium-mediated genetic transformation of sweet potato (Ipomoea batatas L.)

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    Development of an efficient genotype independent regeneration and genetic transformation system in sweet potato continues to be of great interest. Agrobacterium‐mediated genetic transformation protocol was established in two different cultivars of sweet potato using Agrobacterium strain EHA105 harbouring binary plasmid pBI121 containing GUS and nptII genes. The internodal stem segments from 30‐day‐old micropropogated plants were used as explant with different combinations of media and hormones. MS and LS media with various concentrations of growth regulators proved to be non‐responsive and the infecundity was severe with the addition of cytokinins. Nonetheless, MS with 2,4‐D and TDZ gave a good percentage of callusing but with low differentiation. In different concentrations of NAA, significant amount of callusing was observed but percentage of rooting remained low in both the genotypes. Gamborg’s B5 supplemented with NAA proved to be the most suitable media and hormone combination, which yielded shoot formation after 8 ‐ 10 weeks with a regenera‐ tion efficiency of 40 ‐ 70%. Stable integration of transgene was confirmed by PCR analysis. Furthermore, qRT‐PCR analysis was performed to assess the transcript accumulation in addition to the GUS enzymatic assay in the transgenic lines

    Analysis of Blunt Abdominal Trauma with Respect to Associated Injuries, Period of Survival And Mechanism of Death Among Autopsies Conducted in Dept. of FMT, RIMS, Ranchi

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    Abstract : Introduction: Since the abdominal cavity contains the vital organs like liver, spleen, kidney, stomach, intestines etc, traum

    Modeling and parametric optimization of 3D tendon-sheath actuator system for upper limb soft exosuit

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    This paper presents an analysis of parametric characterization of a motor driven tendon-sheath actuator system for use in upper limb augmentation for applications such as rehabilitation, therapy, and industrial automation. The double tendon sheath system, which uses two sets of cables (agonist and antagonist side) guided through a sheath, is considered to produce smooth and natural-looking movements of the arm. The exoskeleton is equipped with a single motor capable of controlling both the flexion and extension motions. One of the key challenges in the implementation of a double tendon sheath system is the possibility of slack in the tendon, which can impact the overall performance of the system. To address this issue, a robust mathematical model is developed and a comprehensive parametric study is carried out to determine the most effective strategies for overcoming the problem of slack and improving the transmission. The study suggests that incorporating a series spring into the system's tendon leads to a universally applicable design, eliminating the need for individual customization. The results also show that the slack in the tendon can be effectively controlled by changing the pretension, spring constant, and size and geometry of spool mounted on the axle of motor

    An undiagnosed left sided traumatic diaphragmatic hernia presenting as small intestinal strangulation: A case report

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    AbstractINTRODUCTIONPost traumatic diaphragmatic hernia is very often missed particularly in polytrauma patients. We present case of an isolated post traumatic diaphragmatic hernia with strangulation, a very rare finding.PRESENTATION OF CASEA 35 year old man presented with features of intestinal obstruction with past history of a seemingly trivial blunt thoracic injury 15 years back. Findings of X-ray abdomen and chest with high leukocyte count raised suspicion of obstructed diaphragmatic hernia which on exploration revealed obstructed diaphragmatic hernia with gangrenous bowel segment.DISCUSSIONBlunt injury of diaphragm is relatively common and is considered as a marker of severe trauma and it can clinically be occult as other violent injuries may mask and disguise its initial clinical presentation1 resulting in late presentation with obstruction and/or rarely strangulation. An early diagnosis of the condition is prudent to avoid morbidity and mortality associated with late presentations.CONCLUSIONIn a patient of intestinal obstruction with history of even trivial throraco- abdominal injury, diagnosis of diaphragmatic hernia should be kept in mind

    An approach to identification of unknown IIR systems using crossover cat swarm optimization

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    Traditional learning techniques creates stability problem in infinite impulse response (IIR) systems identification. Additionally the performance significantly degrades if reduced order adaptive models are used for such identification. In this paper identification of IIR system is formulated as an optimization problem. This paper also proposes a modification to the cat swarm optimization algorithm i.e. crossover cat swarm optimization which always tries to explore the search space for improved solutions without getting trapped in the local optima and diverse situations. The results of actual and reduced order identification for standard system by new method exhibit superior performance as compared to cat swarm optimization and particle swarm optimization in terms of mean square error, convergence speed and estimation of coefficients

    A CROSS-SECTIONAL EXAMINATION OF THE RELATIONSHIP OF ADENOSINE DEAMINASE AND SERUM FERRITIN LEVELS WITH BODY MASS INDEX IN CHILDREN.

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    Objectives: The study aims to establish the correlation between serum adenosine deaminase and ferritin levels with somatometric measurements in children aged 6 to 14. Additionally, it sought to assess the association of these biochemical parameters with components of dysmetabolic syndrome, including blood pressure and lipid profile. Methods: The multicentric study, conducted over a 2-year period from Jan 2021 to Dec 2022 at a tertiary care centre, focused on children aged 6 to 14 attending the outpatient department for eyesight irregularities or immunization. A total of 120 children meeting specific inclusion criteria underwent meticulous anthropometric measurements, BMI calculation, and comprehensive biochemical assessments to correlate serum adenosine deaminase (ADA) as well as ferritin levels with various parameters. The biochemistry tests were performed at the Department of Biochemistry, Nalanda Medical College & Hospital, Patna. Results: In the study of 120 children (6-14 years), the overweight/obese group (n=60) showed higher weight (52.309 kg) compared to the normal weight group (n=60, 27.945 kg). Anthropometric measures, excluding common parameters, were significantly elevated in the obese cohort. Robust positive correlations were noted amongst systolic blood pressure, adenosine deaminase, and serum ferritin with BMI, and significant associations were noted between anthropometric measures and ferritin levels, with ADA showing significance only in systolic blood pressure and waist-hip ratio. Conclusion: The current study revealed significant associations between anthropometric measures, serum adenosine deaminase (ADA), and ferritin levels in children aged 6-14. These findings emphasize the interplay between obesity, inflammatory markers, and cardiovascular health in this paediatric population. Recommendation: The study recommends further research with larger samples to validate findings and emphasizes the importance of longitudinal studies to elucidate dynamic relationships between anthropometric measures, inflammatory markers, and metabolic outcomes in paediatric populations

    Optimizing Multi-Layer Perceptron using Variable Step Size Firefly Optimization Algorithm for Diabetes Data Classification

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    According to a survey conducted by the International Diabetes Federation, the proportion of people living with diabetes is gradually rising. Diabetes mellitus is a chronic disorder caused by elevated blood sugar levels. For the early diagnosis and treatment of diabetes patients, efficient machine-learning methods are needed. Data Classification is a significant subject in many areas of life, and it is also a very challenging job in data mining. Clinical data mining has recently gained attention in complicated healthcare challenges relying on healthcare datasets.  The principal objective of classification is to classify all data in a given dataset to a certain class label. In the healthcare field, classification is commonly employed in much research articles. A hybrid method for diabetes data classification is suggested by integrating multilayer perceptron with a modified firefly optimization algorithm for diabetes data classification. The performance of the proposed hybrid multilayer perceptron variable step size firefly algorithm is compared with other hybrid models such as the hybrid multilayer perceptron particle swarm optimization algorithm, hybrid multilayer perceptron differential evolution algorithm, and hybrid multilayer perceptron firefly optimization algorithm. The performance of these models is calculated based on accuracy, precision, recall, F1 score, and mean square error. In comparison to other models, the proposed hybrid model produces superior outcomes for diabetes data classification
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