High Throughput Robust Face Recognition using SVD

In practice, there is no guarantee that the collected data would cover all different occlusions for all identities of interest. Here proposed an iterative method to address the face identification problem with block occlusions of two characteristics in order to model contiguous errors (e.g., block occlusion) effectively. The first describes a tailored loss function. The second describes the error image as having a specific low-rank image comparison structure. In this paper shown that joint characterization is effective for describing errors with spatial continuity. Our approach is computationally efficient due to the utilization of the alternating direction method of multipliers. Using of the fast iterative algorithm leads to the robust representation method, which is normally used to handle non-contiguous errors. Extensive results on representative face databases document the effectiveness of our method over existing robust representation methods with respect to both identification rates and computational time

Selective Video Coding based on Bezier Curves

In this paper the problem of reconstruction of video frames is addressed, when there are missing pixels in each video frame or is corrupted with noise and also the locations of corrupted pixels are not known. The modified data can be corrected using Forward Error Correcting Codes. Forward Error correcting codes detect and correct errors with the help of complex decoders. This work proposes a new approach called Selective encoding for reconstruction of Video Frames from Error. This algorithm combines the Bezier curves over Galois Field GF (p^m) and the Low Density Parity Check Codes for performing encoding and decoding. The proposed decoder is capable of detecting and correcting errors in each video frame, where only selected pixel values are encoded and decoded. This reduces the decoding time significantly. Further, when binary representation of the Galois Field is used, the speed of the decoder is enhanced as there is no carry generation and carry propagation when any modular arithmetic operation is carried out. Further time complexity is improvised by using parallel processing. The coding of the algorithm is carried out using MATLAB

Incidence of congenital anomalies in Navodaya Medical College

Background: Congenital anomalies are defined as structural or functional anomalies including metabolic disorders, that occur during intrauterine life and can be identified antenatally, at birth or later in life. It accounts for 11% of neonatal deaths globally and accounts for 8–18% of perinatal deaths and 10–15% of neonatal deaths in India. Aims and objectives of the research were to study incidence and risk factors associated with congenital anomalies in Navodaya Medical College.Methods: The clinical study was done on 3008 patients over 1 year at Navodaya Medical College Hospital and Research Centre Thorough history, antenatal ultrasound, blood tests, new born babies were examined thoroughly by the paediatrician to detect the congenital malformation. If any internal congenital malformation were suspected further investigation like ultrasonography (USG), echocardiography (ECHO), X-ray, computed tomography (CT), and magnetic resonance imaging (MRI) were done.Results: Out of 3008 cases, 40 babies had congenital anomalies, incidence is 1.3%, most commonly involved system is musculoskeletal system followed by cardiovascular system. Major risk factors associated are extremes of age, parity, lack of ante natal check-ups, no intake of folic acid, maternal diabetes mellitus.Conclusions: Congenital malformations though cannot be prevented totally but can be minimised and if detected early which reduces mental agony in mother and family. Prenatal counselling, periconceptional folate, anomaly scan, prenatal diagnosis reduces the incidence of neonatal and infant morbidity and mortalities in India

Design and Evaluation of Polyherbal Nanogel for The Treatment of Rheumatoid Arthritis

A typical autoimmune condition known as rheumatoid arthritis is linked to progressive impairment, systemic problems, early death, and socioeconomic expenses. Rheumatoid arthritis has no known cause, and the prognosis is uncertain. However, new therapies with better results have been developed as a result of breakthroughs in our knowledge of the disease's aetiology. The current therapeutic approach, which reflects this advancement, involves starting intensive therapy shortly as a diagnosis is made and escalating the medication in the goal of clinical response while being guided by an evaluation of the disease condition. The medicinal industry is not an alternative to the increasing paradigm of nanotechnology, which is evoking advancements in practically all technological sectors. It has long been utilised for artificial medicine production. The emphasis today is on conventional therapies, though. This study has a considerable application in the developing field of nanomedicine because it focuses upon the nanogel preparations of conventional drugs. As the risks and shortcomings of contemporary medicine become more obvious, herbal therapies are experiencing a comeback because they are viewed as a fair and well-balanced method of therapy. The effectiveness of herbal medicines in the treatment and management of disease is demonstrated by developments in analytical and clinical studies. Herbal treatments' primary drawback is their failure to dissolve and stabilize. Newer technological developments may be able to solve the issues with herbal remedies. Nano-formulations show how modern technology and herbal medicines interact. Consequently, herbal medications' increased stability, homogeneity, low toxicity, and strong drug encapsulation capacities make them a promising candidate for innovative drug delivery systems

BCL6 enables Ph+ acute lymphoblastic leukaemia cells to survive BCR-ABL1 kinase inhibition.

Tyrosine kinase inhibitors (TKIs) are widely used to treat patients with leukaemia driven by BCR-ABL1 (ref. 1) and other oncogenic tyrosine kinases. Recent efforts have focused on developing more potent TKIs that also inhibit mutant tyrosine kinases. However, even effective TKIs typically fail to eradicate leukaemia-initiating cells (LICs), which often cause recurrence of leukaemia after initially successful treatment. Here we report the discovery of a novel mechanism of drug resistance, which is based on protective feedback signalling of leukaemia cells in response to treatment with TKI. We identify BCL6 as a central component of this drug-resistance pathway and demonstrate that targeted inhibition of BCL6 leads to eradication of drug-resistant and leukaemia-initiating subclones

GRB 051028: an intrinsically faint GRB at high redshift?

We present multiwavelength observations of the gamma-ray burst GRB 051028 detected by HETE-2 in order to derive its afterglow emission parameters and to determine the reason for its optical faintness when compared to other events. Observations were taken in the optical (2.0m Himalayan Chandra Telescope, 1.34m Tautenburg, 4.2m William Herschel Telescope) and in X-rays (Swift/XRT) between 2.7 hours and 10 days after the onset of the event. The data can be interpreted by collimated emission in a jet with a typical value of $p$ = 2.4 which is moving in an homogeneous interstellar medium and with a cooling frequency nu_{c} still above the X-rays at 0.5 days after the burst onset. GRB 051028 can be classified as a ``gray'' or ``potentially dark'' GRB. On the basis of the combined optical and Swift/XRT data, we conclude that the reason for the optical dimness is not extra absorption in the host galaxy, but rather the GRB taking place at high-redshift.We also notice the very striking similarity with the optical lightcurve of GRB 050730, a burst with a spectroscopic redshift of 3.967, although GRB 051028 is about 3 mag fainter. We suggest that the bump could be explained by multiple energy injection episodes and that the burst is intrinsically faint when compared to the average afterglows detected since 1997. The non-detection of the host galaxy down to R = 25.1 is also consistent with the burst arising at high redshift, compatible with the published pseudo-z of 3.7 +/- 1.8

Establishing Physalis as a Solanaceae model system enables genetic reevaluation of the inflated calyx syndrome

The highly diverse Solanaceae family contains several widely studied model and crop species. Fully exploring, appreciating, and exploiting this diversity requires additional model systems. Particularly promising are orphan fruit crops in the genus Physalis, which occupy a key evolutionary position in the Solanaceae and capture understudied variation in traits such as inflorescence complexity, fruit ripening and metabolites, disease and insect resistance, self-compatibility, and most notable, the striking inflated calyx syndrome (ICS), an evolutionary novelty found across angiosperms where sepals grow exceptionally large to encapsulate fruits in a protective husk. We recently developed transformation and genome editing in Physalis grisea (groundcherry). However, to systematically explore and unlock the potential of this and related Physalis as genetic systems, high-quality genome assemblies are needed. Here, we present chromosome-scale references for P. grisea and its close relative P. pruinosa and use these resources to study natural and engineered variation in floral traits. We first rapidly identified a natural structural variant in a bHLH gene that causes petal color variation. Further, and against expectations, we found that CRISPR-Cas9 targeted mutagenesis of 11 MADS-box genes, including purported essential regulators of ICS, had no effect on inflation. In a forward genetics screen, we identified huskless, which lacks ICS due to mutation of an AP2-like gene that causes sepals and petals to merge into a single whorl of mixed identity. These resources and findings elevate Physalis to a new Solanaceae model system, and establish a paradigm in the search for factors driving ICS