Unmanned Aerial Vehicle Design for Smart City Application

Nowadays, Unmanned Aerial Vehicles (UAVs) or drones are also one of the applications to provide the required services and to gather information from the target location.  Because smart city applications effectively deal the drone interaction and enhance the human lifestyle with drones. Moreover, UAVs are generally utilized due to their privacy threats, lower cost, pose security, and versatility, which request dependable detection at lower altitudes. However, the less sensing module in the drone has earned the low sensing accuracy of location tracking. So, this paper aims to develop a novel Firefly-based Recurrent Neural Mechanism (FRNM) to enrich the sensing capacity of the drone vehicle. In addition, the sound of the research is medicine delivery through UAVs in emergencies. This UAV system is one of the most crucial features to delivering essential medical items aids by reaching properly correspondent patients.  Moreover, the client's needs are stored in the FRNM cloud then that stored data is trained to the UAV machine. Hereafter, based on the trained details, the drone can reach the destination and has delivered the requested medicine to the specific clients. The planned design is drawn in Network Simulator (NS2) environment, and the robustness of the projected replica is valued by calculating the chief parameters. Hereafter, the improvement score was valued by the comparison assessment. Hence, the FRNM has reported the finest performance by earning less location finding duration, running period, and error rate

Obstructive Sleep Apnea – Current Perpectives

Obstructive sleep apnea is a common sleep related breathing disorder. The demand for sleep medicine services has increased exponentially since the recognition of sleep apnea as a disease in the 1960s. The involvement of dentists in the treatment of sleep apnea has increased. It is important that dentists are aware of the problem of sleep disorders and the potential they have to help in their management

Managing Class II Malocclusion Using Twin Block Therapy in a Young Adolescent male: A Case report

Patients with untapped development potential benefit greatly from twin block therapy. However, a variety of patient-related characteristics, including age, gender, patient compliance, and other arbitrary criteria, complicate its effective application. Orthopaedics and growth modification can use the right forces to repair the malocclusion if given the proper care in a timely manner. When a patient has a retruded mandible and is presenting with a positive visual treatment objective, the appliance is quite effective. In this work, a successful skeletal alteration is described in the instance of a male patient, age 11, who had the typical twin block appliance indication

INVESTIGATION ON THE EFFECTIVENESS OF PROBIOTIC MICROBIOTA ON CANCER

Cancer is the one of the deadly menace diseases with high medical significance which remains one of the keys that causes ailments and death, the security and firmness of the typical chemotherapeutics drugs and artificial agents used to accomplish cancer are doubtful now a days. These mediators affect the quality of life or sometimes they causative for progress of drug resistance and are not judicious to the majority of the patients So the clinical management of the cancer with high efficiency can done with the probiotic microbiota. An imbalance in the gut microbiota promotes the progress of carcinogenesis through several mechanisms, including inflammation, initiation of carcinogens, and tumorigenic pathways as well. In vivo and molecular studies have exhibited the support to role of probiotics in cancer. Probiotic agents are live microbes or components of microbes that have a positive effect on the host. They exert their action through interaction with the immune system of the host. Some of this effect is localized and some is in improvement in total body system. The Probiotic bacteria are the live microorganisms that, when directed in acceptable amounts, deliberate a healthy benefit on the host, and they have been considered for their protective anti-tumour effects. This review emphases on the role of probiotic microbiota as substitute for the prevention and treatment of cancer in the relation between gut microbiota and the progress of cancer

BOUNDING BOX METHOD BASED ACCURATE VEHICLE NUMBER DETECTION AND RECOGNITION FOR HIGH SPEED APPLICATIONS

License plate detection and recognition is the one of the major aspects of applying the image processing techniques towards intelligent transport systems. Detecting the exact location of the license plate from the vehicle image at very high speed is the one of the most crucial step for vehicle plate detection systems. This paper proposes an algorithm to detect license plate region and edge processing both vertically and horizontally to improve the performance of the systems for high speed applications. Throughout the detection and recognition the original images are detected, filtered both vertically and horizontally, and threshold based on bounding box method. The whole system was tested on more than twenty five cars with various license plates in Indian style at different weather conditions. The overall accuracy rate of success recognition is 93% at sunlight conditions, 72% at cloudy, 71% at shaded weather conditions

Non-methane volatile organic compounds emitted from domestic fuels in Delhi: Emission factors and total city-wide emissions

In controlled laboratory conditions, 62 samples of domestic fuels collected from 56 grids of Delhi were burnt to quantify the emissions of 23 non-methane volatile organic compounds (NMVOCs), i.e., alkanes (11), alkenes (6), alkynes (1) and aromatic compounds (5). The domestic fuels used for residential activities were comprised of 20 unique types of fuel woods, 3 species of crop residue, dung cakes and coal. These fuels are primarily used for cooking and water/space heating during winters. The current study reports the total emission budget of NMVOCs from domestic burning over Delhi. Furthermore, this study also compares the differences in EFs of NMVOCs which are calculated for different burning cycles and sample collection methods. The EFs of NMVOCs calculated from the samples collected during the flaming stage using canisters were analysed for 23 NMVOCs and then compared with same species emitted from complete burning cycle. In addition to this, 10 consumption and emission hotspot grids were also identified in Delhi; based on the ground survey and laboratory simulated results. The total annual usage of domestic fuels for the year 2019 was found to be 0.415 Mt/yr (million tonnes) in Delhi. 12.01 Gg/yr of annual NMVOC emissions was calculated from domestic fuel burning in which the emissions from dung cake and fuel wood dominated with 6.6 Gg/yr and 5.4 Gg/yr, respectively. The EFs of NMVOCs calculated using canister and online collection method differ significantly from each other. The flaming stage presented enhanced emissions compared to the complete burning cycle by ~7 times which suggests that the method of data analysis and the period of sample collection play a pivotal role in the preparation of an emission inventory and estimating the budget

Quantitation of SPLUNC1 in saliva with an xMAP particle-based antibody capture and detection immunoassay

The short palate lung and nasal epithelial clone 1 (SPLUNC1) protein may be differentially expressed in oral infections, oral inflammatory disorders, or oral malignancies and may be involved in innate immune responses in the oral cavity. However, the actual concentration of SPLUNC1 in saliva has not previously been determined. In this study, we determined the concentrations of SPLUNC1 in saliva using a particle-based antibody capture and detection immunoassay. A commercial goat anti-rhSPLUNC1 polyclonal antibody (AF1897) was linked to fluorescent polystyrene microspheres and used as the capture antibody. A commercial mouse IgG2b anti-rhSPLUNC1 monoclonal antibody (MAB1897) was biotinylated and used as the detection antibody. Western blot and 2-dimensional fluorescence difference gel electrophoresis (2-D DIGE) analysis of immunoprecipitated rhSPLUNC1 and SPLUNC1 from saliva were used to show that the capture AF1897 and detection MAB1897 antibodies both recognized SPLUNC1. Protein concentrations in saliva from 20 subjects ranged from 0.9 to 23.9 mg/ml; SPLUNC1 concentrations ranged from 34.7 ng/ml to 13.8 μg/ml; and SPLUNC concentrations normalized per mg of total salivary protein ranged from 4.7 ng/ml to 5.3 μg/ml. These results show that SPLUNC1 is detected in saliva in a variety of concentrations. This immunoassay may prove to be useful in determining the concentration of SPLUNC1 in saliva for assessing its role in the pathogenesis of oral infections, oral inflammatory disorders, or oral malignancies

KCNT1- related epilepsy: An international multicenter cohort of 27 pediatric cases

ObjectiveThrough international collaboration, we evaluated the phenotypic aspects of a multiethnic cohort of KCNT1- related epilepsy and explored genotype- phenotype correlations associated with frequently encountered variants.MethodsA cross- sectional analysis of children harboring pathogenic or likely pathogenic KCNT1 variants was completed. Children with one of the two more common recurrent KCNT1 variants were compared with the rest of the cohort for the presence of particular characteristics.ResultsTwenty- seven children (15 males, mean age = 40.8 months) were included. Seizure onset ranged from 1 day to 6 months, and half (48.1%) exhibited developmental plateauing upon onset. Two- thirds had epilepsy of infancy with migrating focal seizures (EIMFS), and focal tonic seizures were common (48.1%). The most frequent recurrent KCNT1 variants were c.2800G>A; p.Ala934Thr (n = 5) and c.862G>A; p.Gly288Ser (n = 4). De novo variants were found in 96% of tested parents (23/24). Sixty percent had abnormal magnetic resonance imaging (MRI) findings. Delayed myelination, thin corpus callosum, and brain atrophy were the most common. One child had gray- white matter interface indistinctness, suggesting a malformation of cortical development. Several antiepileptic drugs (mean = 7.4/patient) were tried, with no consistent response to any one agent. Eleven tried quinidine; 45% had marked (>50% seizure reduction) or some improvement (25%- 50% seizure reduction). Seven used cannabidiol; 71% experienced marked or some improvement. Fourteen tried diet therapies; 57% had marked or some improvement. When comparing the recurrent variants to the rest of the cohort with respect to developmental trajectory, presence of EIMFS, >500 seizures/mo, abnormal MRI, and treatment response, there were no statistically significant differences. Four patients died (15%), none of sudden unexpected death in epilepsy.SignificanceOur cohort reinforces common aspects of this highly pleiotropic entity. EIMFS manifesting with refractory tonic seizures was the most common. Cannabidiol, diet therapy, and quinidine seem to offer the best chances of seizure reduction, although evidence- based practice is still unavailable.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/154940/1/epi16480_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154940/2/epi16480.pd