Publications by authors named "Prabhu D"

Background: An increasing aging population, accompanied by a shortage of residential aged care homes and workforce, and consumer feedback, has driven a growing interest in enabling older people to age in place through home-based care. In this context, smart home technologies for remote health monitoring have gained popularity in supporting older people to live in their own homes.

Objective: This study aims to investigate the impact of smart home monitoring on multiple outcomes, including quality of life, activities of daily living, and depressive symptoms among older people living in their own homes over a 12-month period.

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Background: Substance use among adolescents is increasing at an astounding rate globally posing a major threat to the health system and the society. This problem can be tackled if the adolescents are equipped with knowledge and positive attitude towards substance use. This study was an attempt to assess the knowledge and attitude towards substance use based on consumption and its determinants among college students.

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Lung Cancer remains a significant health concern, necessitating the exploration of novel therapeutic avenues due to the limited efficacy and adverse effects of current treatments. In this study, we utilized a thorough and methodology to develop prospective drugs for the treatment of lung cancer. The active components of were identified through the utilization of a variety of pharmacological instruments, such as Gene Ontology, GeneCards, DrugBank, the Chinese Traditional Drug Database, and GeneMANIA.

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Serratia marcescens is an opportunistic human pathogen that causes urinary tract infections, ocular lens infections, and respiratory tract infections. S. marcescens employs various defense mechanisms to evade antibiotics, one of which is mediated by aminoglycoside N-acetyltransferase (AAC).

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Article Synopsis
  • Adaptive designs (ADs) in clinical trials make the testing process more flexible and can save time and money.
  • Many people in the medical field don’t fully understand how these designs work, so a review has been done to explain their use in research.
  • The study looked at a lot of research reports from 2010 to 2020 and found that most ADs were used in trials for adults, especially for cancer treatments, with a smaller number for children.
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Depression significantly impacts the wellbeing of older Australians, posing considerable challenges to their overall quality of life. This study aimed to detect in-home movement patterns of participants that could be indicative of depressive states. Utilising data collected over a 12-month period via smart home ambient sensors, this feasibility study conducted a comparative analysis using machine learning techniques on features derived from motion sensors, sociodemographic variables, and the Geriatric Depression Scale.

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Background: About 10% of Indians have common mental disorders (CMDs) which include depression and anxiety. These disorders are common in women, which not only impacts on their quality of life but also their family members. The objective of the study was to estimate the prevalence of CMDs, and factors associated with them among women residing in coastal Karnataka.

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Objective: The study employed three-dimensional (3D) finite element analysis (FEA) and examined how implant diameters affect stress distribution across the implant-bone contact and how stress transmission through this interface changes during axial and non-axial loading.

Materials And Methods: A 3D mandibular model was created using cone beam CT of a patient with implants inserted into the first mandible molar. Nobel Biocare implants (Nobel Biocare, Switzerland) with specific dimensions of 3.

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Article Synopsis
  • Cervical cancer is a leading cause of death among women, and traditional treatments are costly and have significant side effects, prompting the search for new options.
  • The study identifies Betulin (BE), a triterpenoid, as a promising anti-cancer agent targeting key epigenetic proteins associated with cervical cancer through a series of advanced bioinformatics techniques.
  • Preliminary findings suggest BE has better binding scores and favorable pharmacokinetic properties compared to standard drugs, indicating its potential effectiveness for further research, especially in live models.
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Article Synopsis
  • Researchers developed a deep learning (DL) model to detect regional wall motion abnormalities (RWMA) in transthoracic echocardiography, addressing issues like interobserver variability.
  • The model was trained using a large dataset of echocardiography videos and showed high accuracy in identifying RWMA, scoring 0.96 on the area under the curve.
  • While the DL model performed similarly to expert readers in most regions, it surpassed novice readers in RWMA detection, suggesting its potential to enhance both efficiency and educational aspects in RWMA assessment.
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Direct exposure to the fungal species Alternaria alternata is a major risk factor for the development of asthma, allergic rhinitis, and inflammation. As of November 23rd 2020, the NCBI protein database showed 11,227 proteins from A. alternata genome as hypothetical proteins (HPs).

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Objective: The objective of this research is to determine whether the thermoplastic polyurethane (TPU) coated with carboxymethylcellulose chitosan has better mechanical and antibacterial action (anti-) when utilized in intraoral simulations with synthetic saliva.

Materials And Methods: The TPU sheets ( = 45) were divided into three groups. Control ( = 15) consists of as-received TPU sheets.

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Research partnerships between researchers and knowledge users (KUs) in child health are understudied. This study examined the scope of KU engagement reported in published child health research, inclusive of health research partnership approaches and KU groups. Search strategies were developed by a health research librarian.

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Background: COVID-19 belongs to the beta-corona cluster that spreads enormously via aerosols. Physiotherapists must be knowledgeable about the symptoms, mode of transmission, risk mitigation strategies, and practice guidelines for COVID-19.

Objective: This study aimed to assess physiotherapists' knowledge of COVID-19 guidelines, their attitude toward this new evolving field, and their practice routines in India's COVID-19 ICUs.

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The substantial nutritional content and diversified biological activity of plant-based nutraceuticals are due to polyphenolic chemicals. These chemicals are important and well-studied plant secondary metabolites. Their protein interactions are extensively studied.

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Agitation, a commonly observed behaviour in people living with dementia (PLwD), is frequently interpreted as a response to physiological, environmental, or emotional stress. Agitation has the potential to pose health risks to both individuals and their caregivers, and can contribute to increased caregiver burden and stress. Early detection of agitation can facilitate with timely intervention, which has the potential to prevent escalation to other challenging behaviors.

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Smart home sensor data is being increasingly used to identify health risks through passive tracking of specific behaviours and activity patterns. This study explored the feasibility of using motion sensor data to track changes in daytime movement patterns within the home, and their potential association with depression in older adults. This study analysed the motion sensor data collected during a one-year smart home trial, and explored their association with Geriatric Depression Scale (GDS) scores collected at three different time points during the trial (i.

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Unlabelled: Glioma coined as a "butterfly" tumor associated with a dismal prognosis. Marine algal compounds with the richest sources of bioactive components act as significant anti-tumor therapeutics. However, there is a paucity of studies conducted on Fucoidan to enhance the anti-glioma efficacy of Temozolomide.

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Multicomponent reactions involving zwitterion generated from dimethyl acetylenedicarboxylate, aryl sulfonamide, and isocyanide to generate sulfonamide-conjugated ketenimines is reported. The synthetic strategy adopted is highly atom economical and stereoselective. Ketenimine sulfonamide analogues are key intermediates for further synthetic conversions to generate a combinatorial library of compounds.

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Metabolic disorders are majorly associated with insulin resistance and an impaired glucose tolerance. Since, many of the currently available drugs exhibit adverse effects and are resistant to therapies, natural products are a promising alternate in the alleviation of complex metabolic disorders. In the current study, Syzygium cumini methanolic extract (SCE) was investigated for its anti-diabetic and anti-adipogenic potential using C57BL/6 mice fed on high fat diet (HFD).

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The non-structural protein (NSs) and nucleoprotein (NP) of the severe fever with thrombocytopenia syndrome virus (SFTSV) encoded by the S segment are crucial for viral pathogenesis. They reside in viroplasm-like structures (VLS), but their interaction and their significance in viral propagation remain unclear. Here, we investigated the significance of the association between NSs and NP during viral infection through in-silico and in-vitro analyses.

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