81 research outputs found
Evaluation of Demirjian stage of the third molar as a reliable predictor of 18 years age
Background: In accordance with section 3(1) of the 1875 Indian majority act, any individual residing in India must reach the majority age when they reach the age of 18 and not before. Third molar formation begins approximately the age of 18. This study aims to distinguish the third molar Demirjian stage(s) indicate that the individual is under the age of 18, and which do not, we will be able to determine the person's age.
Methods: In this research, 202 patients' OPG radiographs aged 14-25 years were obtained. Their radiographs revealed 742 third molars in total. Third molar development was examined using Demirjian's eight-stage method, and average age was then calculated for each step of third molar growth. Stages under the age of eighteen and stages over the age of eighteen were analyzed.
Results: Data revealed that a person was in stage C most likely under the age of 18 (minor) and at stage H, a person was most likely over the age of 18 (major). Stages A and B were not evident in the age range studied. The age associated with stage C was less than 18 years, while the age associated with stage H was greater than 18 years.
Conclusions: Assessing third molar growth stages is a reliable non-invasive method for estimating an individual's age. Stage H indicates a likely age over 18 with completed root development, while stage C suggests an age under 18 with ongoing root development, making it a quick and useful approach
Identifying Node Falls In Mobile Wireless Networks: A Probabilistic Method
We adopt a probabilistic strategy and propose two node failure discovery plots that deliberately join restricted monitoring, area estimation and node joint effort. Broad reproduction brings about both associated and detached network s exhibit that our plans accomplish high failure identification rates (near an upper bound) and low false positive rates, and bring about low correspondence overhead. Contrasted with approaches that utilization incorporated checking, our approach has up to 80% lower correspondence overhead, and just marginally bring down location rates and somewhat higher false positive rates. Moreover, our approach has the favorable position that it is relevant to both associated and disengaged network s while brought together checking is just material to associated networks
Thermal and electrical performance of uncooled, nature-cooled, and photovoltaic thermal module
The experimental study is aimed at analyzing photovoltaic module's thermal and electrical performance (PV) with back surface cooling under Malaysian tropical climate conditions. The performance of a passively cooled PV module integrated with biomaterial (moist coconut fiber) was compared with a photovoltaic thermal (PVT) system with water circulation at the rate of 0.02 kg s-1 and a reference PV module. The study observed that the passively cooled PV module succeeded in reducing the module surface temperature by more than 20%. However, the PVT system reduced the temperature only by less than 17%. The electrical energy efficiency was improved remarkably in the passively cooled PV module by almost 11%, but the PVT system managed to increase the electrical efficiency by 9%, approximately. It can be concluded that nature-inspired coconut fiber-based cooling can be one of the potential alternatives to active cooling methods
Peroxisome proliferator-activated receptors and thiazolidinediones in diabetic nephropathy
Diabetic nephropathy is global problem with several drugs into trial without much success the current article highlights the role of thiazolidinedione’s in diabetic nephropathy by scrutinizing and reconnoitring the cellular and intracellular mechanism and shielding action and the role of peroxisome proliferator-activated gamma receptors (PPARγ) receptors. Not only anti-diabetic action but renal protective effect with evidence based study has been highlighted. PPAR γ-is versatile target having numerous benefits and mainly preventing fibrosis in diabetic experimental model and some clinical case report yet, the benefits are not up to mark, since renal failure itself causes volume expansion and the thiazolidinedione’s (TZDs) also preserve salt and water and lead to congestive heart failure which constraints its clinical application. Dual activators and balaglitazone selective PPAR modulator are having upcoming potential for treatment of diabetic nephropathy. Further detail investigation on such drug is needed to explore. However adverse effect like heart failure, osteoporosis and volume expansion effect over-rides the beneficial effect thus limiting its clinical use of currently available TZDs
Stress, Self-Efficacy, Worries, and Challenges for Caregivers of Children with Type 1 Diabetes During the COVID-19 Pandemic
Background: Approximately 200,000 American youth live with Type 1 Diabetes (T1D). Intensive daily management is critical to optimize disease outcomes. Little is known about COVID-19 pandemic effects on persons with T1D and their caregivers. We hypothesized caregivers would report increased stress, lower self-efficacy (SE), and more difficult diabetes management associated with the pandemic.
Methods: A 49-item survey using Likert scales and open-ended response questions was distributed via email and T1D-related social media platforms from May 4-June 2,2020 to caregivers of children with T1D <18 years of age. The Patient-Reported Outcomes Measurement Information System (PROMIS) SE short form was used to measure general SE.
Results: 260 caregivers completed surveys: 94.2% female, mean age 42.4±7.7 years, 80.3% college degree or higher, 53.8% annual income >$99,000, 77.3% privately insured. Mean child age 11.0±4.1 years, mean T1D duration 4.2±3.4 years. 24.2% reported having COVID-19 or knowing someone diagnosed with COVID-19. 71.9% reported greater stress than before the pandemic. 9.6% reported job loss, 25.8% financial difficulty related to COVID-19. General SE levels were high, significantly correlated with overall COVID-19-related SE (r=0.394, p<0.001), and T1D care-SE during COVID-19 (r=0.421, p<0.001). 210 respondents provided open-ended response qualitative information on worries: 87.6% reported a worry, remainder not worried. Common worries were COVID-19-related diabetes complications including uncontrolled blood sugars, diabetic ketoacidosis, and worry about child’s increased risk for severe disease, including death. 209 reported about challenges; 90.9% stated they had at least one challenge. Family isolation and mental health were the most-stated challenges.
Conclusion: Despite reporting high overall SE, caregivers of T1D children during the pandemic reported greater overall stress, worries, and challenges. Given that data do not suggest that children with T1D are at increased risk of COVID-19 complications, healthcare providers should work to address this knowledge gap while providing families with social and mental health supports
Genome-wide transcriptome analysis and physiological variation modulates gene regulatory networks acclimating salinity tolerance in chickpea
Salinity is a major abiotic stress that is a global threat to crop production, including chickpea. This study focused
on understanding the complex molecular mechanisms underlying salinity tolerance using comparative transcriptome
analysis of tolerant (ICCV 10, JG 11) and sensitive (DCP 92-3, Pusa 256) chickpea genotypes in control
and salt-stressed environments. A total of 530 million reads were generated from root samples of four genotypes
using Illumina HiSeq-2500. A total of 21,698 differentially expressed genes (DEGs) were identified, of which
11,456 and 10,242 were up- and down-regulated, respectively, in comparative analysis. These DEGs were
associated with crucial metabolic pathways, including hormone signaling, photosynthesis, lipid and carbohydrate
metabolism, and cell wall biogenesis. Gene ontology (GO) examination revealed an enrichment of transcripts
involved in salinity response. A total of 4257 differentially expressed GO terms were categorized into 64
functional groups; of which, GO terms like, integral component of membrane, organelle, and cellular anatomical
entity were highly represented in tolerant genotypes under salt stress. Significant up-regulation of transcripts
encoding potassium transporter family HAK/KUP proteins, MIP/aquaporin protein family, NADH dehydrogenase,
pectinesterase, and PP2C family proteins occurred under salt stress. The tolerant lines (ICCV 10 and JG 11)
engaged highly efficient machinery in response to elevated salt stress, especially for signal transduction, transport
and influx of K+ ions, and osmotic homeostasis. The overall study highlights the role of potential candidate
genes and their regulatory networks which can be utilized in breeding salt tolerant chickpea cultivars
Scalable noninvasive amplicon-based precision sequencing (SNAPseq) for genetic diagnosis and screening of β-thalassemia and sickle cell disease using a next-generation sequencing platform
β-hemoglobinopathies such as β-thalassemia (BT) and Sickle cell disease (SCD) are inherited monogenic blood disorders with significant global burden. Hence, early and affordable diagnosis can alleviate morbidity and reduce mortality given the lack of effective cure. Currently, Sanger sequencing is considered to be the gold standard genetic test for BT and SCD, but it has a very low throughput requiring multiple amplicons and more sequencing reactions to cover the entire HBB gene. To address this, we have demonstrated an extraction-free single amplicon-based approach for screening the entire β-globin gene with clinical samples using Scalable noninvasive amplicon-based precision sequencing (SNAPseq) assay catalyzing with next-generation sequencing (NGS). We optimized the assay using noninvasive buccal swab samples and simple finger prick blood for direct amplification with crude lysates. SNAPseq demonstrates high sensitivity and specificity, having a 100% agreement with Sanger sequencing. Furthermore, to facilitate seamless reporting, we have created a much simpler automated pipeline with comprehensive resources for pathogenic mutations in BT and SCD through data integration after systematic classification of variants according to ACMG and AMP guidelines. To the best of our knowledge, this is the first report of the NGS-based high throughput SNAPseq approach for the detection of both BT and SCD in a single assay with high sensitivity in an automated pipeline
Cultivation and sequencing of rumen microbiome members from the Hungate1000 Collection
Productivity of ruminant livestock depends on the rumen microbiota, which ferment indigestible plant polysaccharides into nutrients used for growth. Understanding the functions carried out by the rumen microbiota is important for reducing greenhouse gas production by ruminants and for developing biofuels from lignocellulose. We present 410 cultured bacteria and archaea, together with their reference genomes, representing every cultivated rumen-associated archaeal and bacterial family. We evaluate polysaccharide degradation, short-chain fatty acid production and methanogenesis pathways, and assign specific taxa to functions. A total of 336 organisms were present in available rumen metagenomic data sets, and 134 were present in human gut microbiome data sets. Comparison with the human microbiome revealed rumen-specific enrichment for genes encoding de novo synthesis of vitamin B12, ongoing evolution by gene loss and potential vertical inheritance of the rumen microbiome based on underrepresentation of markers of environmental stress. We estimate that our Hungate genome resource represents ?75% of the genus-level bacterial and archaeal taxa present in the rumen.publishersversionPeer reviewe
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