A5102869754- Optimization and Mathematical Programming
- Advanced Radiotherapy Techniques
- Multi-Criteria Decision Making
- Radiation Therapy and Dosimetry
- Radiation Dose and Imaging
- Colorectal Cancer Treatments and Studies
- Chemotherapy-related skin toxicity
- Biometric Identification and Security
- Cancer Treatment and Pharmacology
- Infection Control and Ventilation
- Supply Chain and Inventory Management
- Retinal Imaging and Analysis
- Digital Imaging for Blood Diseases
- Advanced X-ray and CT Imaging
- Fuzzy Systems and Optimization
- SARS-CoV-2 detection and testing
- Complementary and Alternative Medicine Studies
- Forensic and Genetic Research
- Disaster Response and Management
- Constraint Satisfaction and Optimization
- Phosphodiesterase function and regulation
- Vehicle License Plate Recognition
- Sympathectomy and Hyperhidrosis Treatments
- Medicinal Plants and Neuroprotection
- Phytochemicals and Medicinal Plants
United International University
2024
University of South Australia
2024
Chitkara University
2021-2022
Norwegian University of Science and Technology
2020-2022
Baddi University of Emerging Sciences and Technologies
2018
Central Council for Research in Homoeopathy
2017
Capitol Technology University
2016
Indian Institute of Integrative Medicine
2015-2016
Academy of Scientific and Innovative Research
2016
University of Jammu
2016
<b>Objective</b> : The aim of the present work was to evaluate anxiolytic effect an ethanolic extract Nymphaea alba Linn. in mice.<br><b>Materials and Methods</b> elevated plus maze test (EPMT), light dark (L DT) open field (OFT) were used assess activity N. mice. In addition, aggressive behavior motor coordination also assessed by foot shock induced aggression (FSIAT) rota rod (RRT). Diazepam 1 mg/kg served as a standard drug, administered orally.<br> <b>Results</b> (100 200 mg/kg, p.o.)...
<sec> <title>BACKGROUND</title> Current data analysis methods do not effectively support nurses in risk reduction as retrospective reporting lacks real-time insights and precludes proactive care. However, of administrative within Australia’s healthcare sector may have the potential to address this short coming. Predictive analytics can transform into meaningful insights, identifying harm profiles that benefit performance Australian international clinical programs. Importantly these tools...
For iris recognition in non-cooperative environments, segmentation has been regarded as the first most important challenge still open to biometric community, affecting all downstream tasks from normalization recognition. In recent years, deep learning technologies have gained significant popularity among various computer vision and also introduced biometrics, especially segmentation. To investigate developments attract more interest of researchers method, we organized 2021 NIR Iris Challenge...
Abstract Timetabling problem is known as an NP-hard that centres around finding optimized allocation of subjects onto a finite available number slots and spaces. It perhaps the most challenging issues looked by colleges globe. Every academic institution faces when preparing courses exam plans. There are many restrictions raised while timetable. This paper proposed method based on evolutionary algorithms to solve constrained timetable problem, which helps create theory well lab schedule for...
Bias and fairness of biometric algorithms have been key topics research in recent years, mainly due to the societal, legal ethical implications potentially unfair decisions made by automated decision-making models. A considerable amount work has done on this topic across different modalities, aiming at better understanding main sources algorithmic bias or devising mitigation measures. In work, we contribute these efforts present first study investigating sclera segmentation Although...
The paper presents a summary of the 2020 Sclera Segmentation Benchmarking Competition (SSBC), 7th in series group benchmarking efforts centred around problem sclera segmentation. Different from previous editions, goal SSBC was to evaluate performance sclera-segmentation models on images captured with mobile devices. competition used as platform assess sensitivity existing i) differences devices for image capture and ii) changes ambient acquisition conditions. 26 research groups registered...
Motive of the study is to present quantitative and qualitative analysis comparison beam data measurement with FF (flattening filter) FFF filter free) in a Varian TrueBeamTM Medical Linear Accelerator. Critique characterization evolution dosimetric properties for 6 MV, 10 15 MV MVFFF, MVFFF has been carried out. We performed photon two standard energy verses beam. Determination parameter involved PDD (Percentage depth dose), Depth dose profile, Symmetry, Flatness, Quality index, Relative...
Mahanimbine a carbazole alkaloid transformed into (<bold>2–9</bold>) by POCl<sub>3</sub> + DMF, further it screened against Notch pathway activation in which the compound <bold>8</bold> exhibited an EC<sub>50</sub> value of 0.85 μM. It also inhibited K562 HL cell proliferation and colony formation.
Monte Carlo (MC) techniques have been recognized as the gold standard for simulation of radiation transport in radiotherapy. The aim study is to perform dosimetric evaluation Simultaneous Integrated Boost (SIB) treatment planning using MC approach. geometrical source modeling and 6 MV Flattening Filter Free (FFF)beam from TrueBeam linear accelerator carried out simulate Volumetric Modulated Arc Therapy (VMAT) plans software PRIMO. All SIB generated VMAT patients with locally advanced...
Abstract Purpose: The miniaturized conical cones for stereotactic radiosurgery (SRS) make it challenging in measurement of dosimetric data needed commissioning treatment planning system. This study aims at validating characteristics cone collimator manufactured by Varian using Monte Carlo (MC) simulation technique. Methods & Material: Percentage depth dose (PDD), tissue maximum ratio (TMR), lateral profile (LDP) and output factor (OF) were measured with diameters 5mm, 7·5mm, 10mm, 12·5...
Clinical Decision Support Systems (CDSS) are pivotal in modern healthcare, aiding healthcare practitioners making accurate decisions. Most of the existing CDSSs static; due to this, adaptation a new environment or changes same is difficult. There requirement for CDSS strategies that enable system adjust local including associated factors such as different types patients, ecosystems, and varying guidelines. Additionally, two significant challenges persist: its maintenance issue portability...
In corporate and industries sectors, transportation plays an important role. Vogel Approximation Method (VAM) is a effectual method to find the initial basic feasible solution of problems, but when there tie between highest penalty costs for rows columns, we have choose arbitrary which results may get far from optimal also. this paper, modified steps VAM solution. The proposed revised algorithm (RA-VAM) gives always nearest Three examples are also solved illustrate RA-VAM.
To manage a metastatic cancer patient in rural setting is daunting task owing to the lack of resources and infrastructure. Intravenous chemotherapy (CT), with its debilitating side effects, often causes decrease quality life (QOL) patient. When treatment palliative intent, efforts should be made provide maximum symptom relief patient, striking balance between patient's wishes sound scientific rationale. We describe our experience extensively breast treated center single-agent oral...