“Research on the "Engineering of Nano-gel for delivery of Mometasone and Itraconazole on Scalp and Beard for the Treatment of Fungal Infection"

Scalp and beard fungal infection often treated with conventional dosage form like cream, gel, emul-gel, which causes various side effects, to overcome such problems this research was conducted to develop Itraconazole and Mometsone Anti-fungal Nano-Hydro- Gel that is effective in the treatment of fungal infections of the scalp and beard. Itraconazole belongs to Azole group, which inhibit Lanosterol 14 alfa demethylase, the enzyme that converts lanosterol to ergosterol. Ergosterol is a component of yeast and fungal membranes. Nano-formulation penetrates deeper into the skin. The gel formula retains its therapeutic effect as well as the soothing effect on the hair follicles for long time. Pre-formulation studies of Itraconazole and Mometasone particles were done, and then both the API particles were converted into nano- particles through solvent diffusion method. SEM, P-XRD, IR tests were performed for characterization of Nano-Particles. Nano- Hydrogel base, prepare by using Carbopol-940, Carbopol-934, Triethanolamine and Distilled Water and engineering done by adding drug. When both Carbopol grades (934 and 940) are used together in the formulation of gel, the drug will release over a longer period of time with a smaller dose and less chance of any dose-dependent harm.Various composition were engineered an evaluated for selection of model formulation. Result- Evaluated for these parameters: Physical appearance, pH, estimation of practical yield, homogeneity, drug content uniformity, spreadability, viscosity, Statistical analysis of experimental data by ANOVA using Excel, In-vitro-drug release study, release kinetic study, Particle size analysis, (SEM), FT-IR studies. In-Vitro Anti-fungal activity tested by using Nano-gel Franz diffusion cell (Make-Orchid scientific). Amount of drug released was determined using UV- spectrophotometer at 222 nm. Conclusion- Fungal infection is most common skin condition occurs on the scalp and chin. Under these skin conditions, the hair follicles become inflamed and the affected area becomes itchy, flaky or scaly, causing redness, swelling and irritation. So this research was done with focus for pathology, pathogenesis consequently treatment of scalp and beard fungal infectio

Treatment of proximal tibia fractures with locking compression plate: a prospective study

Background: With the rise in the incidence of proximal tibia fractures in India due to road traffic accidents, this prospective study was intended to assess the operative procedure in the management of such fractures using the locking compression plate (LCP).Methods: 30 subjects attending the study site scheduled to undergo the defined surgery were enrolled as per the study selection criteria.Results: A total of 30 patients with proximal tibia fractures were enrolled. Majority of cases were due to RTAs, with a higher incidence of types IV, V and VI. Average time for union of fracture ranged from around 16-24 weeks. 23 patients were treated with ORIF and 7 patients were treated with MIPO technique. Three different principles of fixation were done using the LCP, viz. compression, bridging and combined. Functional outcome was evaluated, which revealed excellent results in 53.33% patients, good results in 30% patients, fair results in 13.33% results, while 3.33% had poor outcomes.Conclusions: Based on the findings of the present study we can conclude that overall Locking Compression plate (LCP) for fractures of the proximal tibia is a useful adjunct in the management of trauma patients. The locking compression plate system with its various type of fixation act as a good biological fixation including difficult fracture situations

A rare case of ulnar nerve calcification in a patient without Hansen’s disease

Ulnar nerve calcification is rarely seen without association with Hansen’s disease. Ulnar nerve arises from brachial plexus within the axilla and is a major peripheral nerve of the upper limb. Its root value is C8-T1. It is one of the superficial nerves and is the most commonly affected nerve in leprosy. Our patient 52 years old female, came to Dr. D. Y. Patil hospital, Nerul casualty with a history of fall in bathroom and complaining of pain in right elbow with no neurological deficit. The radiological investigations confirmed a severely comminuted intra-articular humeral condylar fracture of the right side with a linear calcification seen in soft tissues near the ulnar nerve. It is an idiopathic ulnar nerve calcification of the right side. Hence, ulnar nerve calcification can also be seen in patients without Hansen’s disease

Prospective study of radiological and functional outcomes of humeral mid-shaft fractures by anterior bridge plating technique

Background: The humerus can be considered the most versatile bone in the human body. Can be successfully approached by a variety of methods for fracture fixation including functional bracing, plating (posterior, lateral, and anterior), and intramedullary nailing (antegrade and retrograde). Notably, many humeral fractures can be successfully managed conservatively due to the wide range of acceptability for reduction. Anterior bridge plating (ABP) which utilizes the minimally invasive approach popularly known as the minimally invasive percutaneous plate osteosynthesis (MIPPO) technique can be said to be the latest entrant in this list. The present study was undertaken to evaluate the efficacy of ABP. Methods: The study was carried out from July 2020 to July 2022 in DR. D. Y. Patil medical college and hospital, Nerul, Navi Mumbai, involving 32 patients who met the selection criteria and were operated at the tertiary care centre. Informed consent was obtained from all the patients for use of their clinical and imaging data. Ethical committee approval was taken. The assessment of the patients was done based on functional and radiological outcomes periodically. Results: Majority of patients belongs to age group 18-25 years (46.87%). Majority of side of injury were found right side (65.62%). In most of the cases, the extent of the displacement of fractures were 2-5 cm (71.87). Conclusions: In conclusion ABP is a very good technique in treating mid-shaft humeral fractures with minimal soft tissue dissection, smaller scars, and early return to overhead activities

Pharmacological screening of ethanolic extract of Pithecellobium dulce for antiarthritic activity in Rats

418-424Arthritis is an inflammatory joint disorder in which cartilage of the joint is gradually lost and categorized by swelling of joints, pain, and loss of function. The present study was conducted to explore the antiarthritic activity of ethanolic extract of Pithecellobium dulce against formaldehyde induced at sub plantar region of the left hind paw during days 1 and 3 of the study period. The changes observed in paw diameter during the study period, various biochemical, and haematological parameters were monitored. The Radiographic analysis and histopathology significantly improved after treatment with test extract P. dulce (250 mg/kg, b.w., p.o.) as compared to the standard treatment with indomethacin (10 mg/kg, b.w., p.o.).The results of the current investigation concluded that ethanolic extract of P. dulce possesses significant anti-arthritic activity against formaldehyde induced arthritis model, justifying its therapeutic role in arthritic conditions. The observed antiarthritic activity may be due to the presence of phytoconstituents such as alkaloids and flavonoids. P. dulce significantly suppressed the paw oedema in formaldehyde models (P <0.001). The Histopathological and radiographic studies of joints also showed a protective effect of P. dulce

Pharmacological screening of ethanolic extract of Pithecellobium dulce for antiarthritic activity in Rats

Arthritis is an inflammatory joint disorder in which cartilage of the joint is gradually lost and categorized by swelling of joints, pain, and loss of function. The present study was conducted to explore the antiarthritic activity of ethanolic extract of Pithecellobium dulce against formaldehyde induced at sub plantar region of the left hind paw during days 1 and 3 of the study period. The changes observed in paw diameter during the study period, various biochemical, and haematological parameters were monitored. The Radiographic analysis and histopathology significantly improved after treatment with test extract P. dulce (250 mg/kg, b.w., p.o.) as compared to the standard treatment with indomethacin (10 mg/kg, b.w., p.o.).The results of the current investigation concluded that ethanolic extract of P. dulce possesses significant anti-arthritic activity against formaldehyde induced arthritis model, justifying its therapeutic role in arthritic conditions. The observed antiarthritic activity may be due to the presence of phytoconstituents such as alkaloids and flavonoids. P. dulce significantly suppressed the paw oedema in formaldehyde models (P &lt;0.001). The Histopathological and radiographic studies of joints also showed a protective effect of P. dulce

MoNuSAC2020:A Multi-Organ Nuclei Segmentation and Classification Challenge

Detecting various types of cells in and around the tumor matrix holds a special significance in characterizing the tumor micro-environment for cancer prognostication and research. Automating the tasks of detecting, segmenting, and classifying nuclei can free up the pathologists' time for higher value tasks and reduce errors due to fatigue and subjectivity. To encourage the computer vision research community to develop and test algorithms for these tasks, we prepared a large and diverse dataset of nucleus boundary annotations and class labels. The dataset has over 46,000 nuclei from 37 hospitals, 71 patients, four organs, and four nucleus types. We also organized a challenge around this dataset as a satellite event at the International Symposium on Biomedical Imaging (ISBI) in April 2020. The challenge saw a wide participation from across the world, and the top methods were able to match inter-human concordance for the challenge metric. In this paper, we summarize the dataset and the key findings of the challenge, including the commonalities and differences between the methods developed by various participants. We have released the MoNuSAC2020 dataset to the public

Drucker\u27s Insights on Market Orientation and Innovation: Implications for Emerging Areas in High-Technology Marketing

In 1954, Drucker boldly declared that organizations have only two basic functions, marketing and innovation. While true for any organization, this insight is particularly pertinent for technology-based businesses. The complicated environment surrounding high-tech companies creates a great need for sophisticated marketing, yet these companies continue to have under-developed competencies in marketing and in understanding customer needs. In its first two sections, this essay explores Drucker’s insights with respect to two particularly salient issues for high-tech companies: developing and implementing a market orientation, and sustained break-through innovations. We review Drucker’s insights and synthesize them with the scholarly research on these issues. In the third section, we discuss three emerging areas in high-tech marketing where academics and managers could build on Drucker’s insight to guide future research and practice: market-driving, customer co-creation, and corporate social responsibility. The illustrative examples provided by these emerging areas highlight that even today, Drucker’s writings continue to offer remarkable guidance to scholars and managers who are willing to take the time to reflect, understand, and incorporate these insights in the unique context of high-tech industries

Under Reporting Practices of Adverse Drug Reaction: An Observational Study Corresponding Author

ABSTRACT Objective: The present study was to estimate extend or percentage of Adverse Drug Reaction (ADR) reporting in Bhopal region at pilot level. Our main objective is not only to find out the reporting status but is to find out the possible causable reason behind the under-reporting of the suspected ADRs by the private practioners. Methods: A questionnaire based short intensive survey was conducted on the private practioners of the Bhopal region. The questionnaire consists of ten questions from which most of it was totally based and design so that we can get the much close and exact reason for the under-reporting practices. The survey was conducted by a random sample of approximate 150 private practioners of the Bhopal region. Results: The overall reporting percentage was only approximately 7% or the under-reporting percentage was approximately 93% that clearly indicates somewhat a considerable obstacle for the roadmap forecast by the CDSCO in collaboration with IPC. Conclusion: The under-reporting percentage was quite considerable (93%) so as to look after the issue to resolve or for improvement. As majority of population have their reliability and first exposure of treatment via private practices. So ADRs at this level if reported earlier in the phase of drug exposure could be better controlled as per quality concern and also its global exposure may be prevented

Exam Assessor Tool: An Automated System for Efficient Answer Sheet Evaluation

With Education 4.0 and four quadrant approach number of innovations have gone into academics for efficient, experiential, and outcome-based education however assessment schemes are still very much dependent on manual assessment methods which are time-consuming and cumbersome. The grading system can sometimes be irrational, with diversified schemes for the same course and can also be biased. Covid 19 pandemic caused a global economic avalanche like we’ve never experienced in our lifetime. Many countries have implemented control measures such as blockades and curfews. The education system in this chaos saw a silver lining with academics shifting to online mode, with paradigm shift in teaching, assessment techniques too need to evolve. Work done is an effort to ease the process of assessment, a machine learning assisted model is developed that automates subjective answer evaluation in the education sector. Our project involved several crucial steps, including grayscale conversion, Natural Language Processing (NLP) for data cleansing, data splitting, and training an artificial neural network (ANN) to predict scores based on extracted features. ANN-based system grades subjective responses without human intervention, reducing the workload of teachers and professors. Model constructed an ANN architecture with three layers using Rectified Linear Activation Unit (ReLU) and Sigmoid activation functions. Trained model was incorporated into a user-friendly web application using the Streamlit library. Model design gives a major boost in grading efficiency and accuracy while providing valuable feedback to students. Research surveys were conducted, and a dataset was constructed for training and testing the model. study yielded an accuracy of 83.14% after employing techniques such as text cleaning, preprocessing, and feature extraction