Facilitation of peptide fibre formation by arginine-phosphate/carboxylate interactions

This study describes peptide fibre formation in a hexapeptide, derived from the V3 loop of HIV-1, mediated by the interactions between arginine residues and phosphate/carboxylate anions. This charge neutralization approach was further confirmed when the deletion of arginine residue from the hexapeptide sequence resulted in fibre formation, which was studied by a combination of microscopic techniques

Effect of Hybridization of Glass/kevlar Fiber on Mechanical Properties of Bast Reinforced Polymer Composites: A Review

Natural fibres are gaining more and more interest as reinforcing materials for polymer composite due to their environmental and economical benefits.  Bast fibers is a prominent reinforcement for use in polymeric materials because of its low specific weight and cost, eco-friendly and abundantly available in nature. Several authors manifest the cellulosic fibers based polymeric composites as advantageously used in automobile industries and structural applications, but certain problems have been associated during usage of such fiber such as high water/mosture-uptake and low strength than inorganic fibers. These problems have been reduced to a major extent with enhancements in mechanical properties by the researchers through hybridization of these natural fiber based composites with synthetic fiber (glass/Kevlar). In the present article, we reviewed the effect of hybridization of glass/Kevlar synthetic fibers on mechanical properties of bast fiber (jute, hemp, kenaf, flax) reinforced polymer composites

A cross-sectional study to find out the prevalence, pattern, risk factors, comorbidities and severity of vascular depression in patients attending psychiatric outpatient department in a tertiary care centre

Background: Depression was declared as the second major cause of disability adjusted life years (DALY) in 2020 and the economic burden experienced by those with depression is next to coronary artery disease. Vascular depression has late age at onset 60 years or older, nonpsychotic subtype, with no family history of mental disorders, presenting with loss of pleasure and functional disability. Depression is accompanied by cerebrovascular lesions as determined by MRI and not accompanied by neurological signs. This has a spiral correlation with various comorbidities leading to diagnostic enigma at one hand and worsened prognosis on the other. This emphasized the early diagnosis and treatment to improve the quality of life.Methods: Patients with age more than 60 years, of either sex, with a mini GDS score ≥5, having the first episode of depression and who gave consent were included.Results: Hypertension thus emerged as a significant risk factor and was positively associated with increased severity of depression. Conclusions: Subclinical cognitive impairment and mild cognitive impairment (MCI) may precede years before the onset of vascular depression. Prompt detection and management of these entities and associated risk factors could prevent or postpone impending vascular depression

A Survey of different classification techniques and their comparison using Mc Nemar’s Test

Five classification algorithms namely J48, Naive Bayes, K Nearest Neighbour, IBK and Decision Tree are evaluated using Mc Nemar’s test over datasets including both nominal attributes and numeric attributes. It was found that K Nearest Neighbor performed better than the other classification methods for both nominal datasets and numerical datasets. It was also observed that the results of this evaluation confers with two other evaluation metrics used for evaluating classification algorithms or machine learning algorithms, Root Mean Squared Error and Kappa statistic

Computational studies on the effect of geometric parameters on the performance of a solar chimney power plant

A solar chimney power plant (SCPP) is a renewable-energy power plant that transforms solar energy into electricity. The SCPP consists of three essential elements – solar air collector, chimney tower, and wind turbine(s). The present work is aimed at optimizing the geometry of the major components of the SCPP using a computational fluid dynamics (CFD) software ANSYS-CFX to study and improve the flow characteristics inside the SCPP. The overall chimney height and the collector diameter of the SCPP were kept constant at 10 m and 8 m respectively. The collector inlet opening was varied from 0.05 m to 0.2 m. The collector outlet diameter was also varied from 0.6 m to 1 m. These modified collectors were tested with chimneys of different divergence angles (0�–3�) and also different chimney inlet openings of 0.6 m to 1 m. The diameter of the chimney was also varied from 0.25 m to 0.3 m. Based on the CFX computational results, the best configuration was achieved using the chimney with a divergence angle of 2� and chimney diameter of 0.25 m together with the collector opening of 0.05 m and collector outlet diameter of 1 m. The temperature inside the collector is higher for the lower opening resulting in a higher flow rate and power

Incidentally detected solid pseudopapillary neoplasm of pancreas in a child with an ovarian cyst: a case report

Solid pseudopapillary neoplasms (SPN) are the most common as well as very rare pediatric tumors of the pancreas. Most of the literature is derived from adult SPNs. As per world health organization, these tumors considered as low grade malignant with excellent survival outcomes after complete surgical resection. We report a case of incidentally detected SPN in a 16-year-old female child with an ovarian cyst. She underwent pylorus preserving pancreaticoduodenectomy and ovarian cystectomy. Histopathology revealed well differentiated SPN of the pancreas head and ovarian cystadenoma. She is symptom-free at the 6th month follow up

Telescope: Telemetry at Terabyte Scale

Data-hungry applications that require terabytes of memory have become widespread in recent years. To meet the memory needs of these applications, data centers are embracing tiered memory architectures with near and far memory tiers. Precise, efficient, and timely identification of hot and cold data and their placement in appropriate tiers is critical for performance in such systems. Unfortunately, the existing state-of-the-art telemetry techniques for hot and cold data detection are ineffective at the terabyte scale. We propose Telescope, a novel technique that profiles different levels of the application's page table tree for fast and efficient identification of hot and cold data. Telescope is based on the observation that, for a memory- and TLB-intensive workload, higher levels of a page table tree are also frequently accessed during a hardware page table walk. Hence, the hotness of the higher levels of the page table tree essentially captures the hotness of its subtrees or address space sub-regions at a coarser granularity. We exploit this insight to quickly converge on even a few megabytes of hot data and efficiently identify several gigabytes of cold data in terabyte-scale applications. Importantly, such a technique can seamlessly scale to petabyte-scale applications. Telescope's telemetry achieves 90%+ precision and recall at just 0.009% single CPU utilization for microbenchmarks with a 5 TB memory footprint. Memory tiering based on Telescope results in 5.6% to 34% throughput improvement for real-world benchmarks with a 1-2 TB memory footprint compared to other state-of-the-art telemetry techniques

Disproportionate rise in serum CA 125 in case of budd chiari syndrome: an unusual presentation

Ca 125 is used as a diagnostic and prognostic biomarker for ovarian cancer. The level of CA 125 is also elevated in benign conditions like Budd Chiari syndrome, liver cirrhosis and heart failure. But very high level of CA 125 is rarely associated with benign conditions and this can mislead the physician. Here we present a case of budd chiari syndrome in postpartum period associated with very high level of CA 125 which is an unusual presentation