Spectral properties of a mixed singlet-triplet Ising superconductor

Conventional two-dimensional superconductivity is destroyed when the critical in-plane magnetic field exceeds the so-called Pauli limit. Some monolayer transition-metal dichalcogenides lack inversion symmetry and the strong spin-orbit coupling leads to a valley-dependent Zeeman-like spin splitting. The resulting spin-valley locking lifts the valley degeneracy and results in a strong enhancement of the in-plane critical magnetic field. In these systems, it was predicted that the density of states in an in-plane field exhibits distinct mirage gaps at finite energies of about the spin-orbit coupling strength, which arise from a coupling of the electron and hole bands at energy larger than the superconducting gap. In this study, we investigate the impact of a triplet pairing channel on the spectral properties, primarily the mirage gap and the superconducting gap, in the clean limit. Notably, in the presence of the triplet pairing channel, the mirage-gap width is reduced for the low magnetic fields. Furthermore, when the temperature is lower than the triplet critical temperature, the mirage gaps survive even in the strong-field limit due to the finite singlet and triplet order parameters. Our work provides insights into controlling and understanding the properties of spin-triplet Cooper pairs

A novel RNA pseudouridine site prediction model using Utility Kernel and data-driven parameters

RNA protein Interactions (RPIs) play an important role in biological systems. Recently, we have enumerated the RPIs at the residue level and have elucidated the minimum structural unit (MSU) in these interactions to be a stretch of five residues (Nucleotides/amino acids). Pseudouridine is the most frequent modification in RNA. The conversion of uridine to pseudouridine involves interactions between pseudouridine synthase and RNA. The existing models to predict the pseudouridine sites in a given RNA sequence mainly depend on user-defined features such as mono and dinucleotide composition/propensities of RNA sequences. Predicting pseudouridine sites is a non-linear classification problem with limited data points. Deep Learning models are efficient discriminators when the data set size is reasonably large and fail when there is a paucity of data ($<1000$ samples). To mitigate this problem, we propose a Support Vector Machine (SVM) Kernel based on utility theory from Economics, and using data-driven parameters (i.e. MSU) as features. For this purpose, we have used position-specific tri/quad/pentanucleotide composition/propensity (PSPC/PSPP) besides nucleotide and dineculeotide composition as features. SVMs are known to work well in small data regimes and kernels in SVM are designed to classify non-linear data. The proposed model outperforms the existing state-of-the-art models significantly (10%-15% on average)

Role of mitochondria in progression of cancer: a semi-quantitative study

Mitochondria have been an area of scientific study for more than 100 years. It was in early 20th century that Otto Warburg first described differences in the mitochondria of tumors v/s normal cells. It was observed that tumor cells have increased rate of aerobic glycolysis compared with normal cells. The study was carried out in patients diagnosed as premalignant and malignant conditions which had three objectives that is to demonstrate the presence or absence of mitochondria in cytological smears, in order to perform a semi-quantitative analysis on the number of mitochondria and to identify the difference in distribution mitochondria if any. The study was carried out in the Department of Oral and Maxillofacial Pathology of S.P.D.C., Sawangi, Wardha with consent from patients and approval from the institutional ethical committee. 20 patients each diagnosed clinically and histo-pathologically with OSCC and Premalignant conditions or lesions respectively were selected for the purpose of the study. 20 subjects who had come for routine endodontic treatment were taken as control group for the purpose of the study. It was observed that there was even distribution of mitochondria throughout the cytoplasm in smear that had been taken from normal mucosa which appeared sharply defined whereas in premalignant mitochondria were located in the perinuclear zone and 10% in the peripheral zone and in malignant conditions distribution was sparse in the perinuclear area and appeared ill-defined

A study on awareness of college students about cryptocurrency and Its relation to Level of Education

Technology made many changes to the payment system. Students are more familiar with the technology. After the bitcoin boom in India, the mostly young generation are attracted to cryptocurrency. Cryptocurrency is decentralized and it is based on blockchain technology. Bitcoin, Ethereum, Cardano, Dogecoin, Litecoin, Bitcoin Cash, and Potcoin are more popular cryptocurrencies in India. The majority of investors are the age of between 18 and 24 years old. This study mainly focuses on the awareness of college students about cryptocurrency. This study also focuses on various factors that affected awareness of cryptocurrency. For this study, we collected 120 students’ responses. Samples were selected based on the non-probability snowball sampling method. The finding of this study is, that most respondents are aware through friends and social media about the cryptocurrency. And male respondents are more aware than female respondents. The higher level of educational qualification also impacts the high-level awareness of cryptocurrency. The majority of respondents are interested to invest in cryptocurrency

Experimental comparison of PVD, CVD and CERAMIC tool inserts in turning of hardened EN 19/AISI 4140 for optimization of surface roughness and material removal rate

Abstract: The literature study on optimization of surface roughness states that there are many parameters that affect optimum surface roughness to be reached after machining. It is primarily seen that many researchers carried out their studies on various cutting parameters (viz. speed , feed , depth of cut) as their input parameters and concluded that Feed is important paramete

Retrofitting of Existing Scooter into Hybrid Electric Scooter

In India, the usage of two-wheelers for daily activities is high. Thus, consumption of petrol is on the rise. If the spending of a country is considered then 80−90% spending is done to pay import bills on petroleum products, which are counted as the country’s expenditure. The final result is a hike in the price of petrol and hence rising inflation. India is now the fourth largest emitter of greenhouse gases in the world. The transport sector accounts for 13% of India’s related CO2 emission which is mainly high in the traffic. Deployment of electric vehicles in large numbers is hindered by a variety of barriers. Scaling up electric vehicle’s penetration and realizing their full potential would be required. For this situation, now one of the solutions is retrofitting of existing scooters into hybrid electric scooters. Instead of turning existing petrol vehicles into scrap, this can be utilized as hybrid electric vehicles, as nowadays, focus of government is on “National Electric Mobility Mission Plan 2020” (NEMMP 2020). Thus, the aim of our project is to enhance the capacity of cities to improve mobility with lower CO2 emission. It can be a valuable contribution to achieve NEMMP 2020. The system proposes a solution by retrofitting existing scooters into hybrid electric which runs on Internal Combustion Engine. Here, by using scooter that has 80cc petrol combustion engine. The front wheel is replaced by an electric hub motor. It becomes a 2-wheel drive scooter with the hub motor driving the front wheel and conventional engine powering the rear wheel. Our main aim is to increase mobility and to improve the performance efficiency of existing vehicles. System proposes three switching modes here; Economy mode (Propulsion using motor only), power drive mode (propulsion using engine only) and hybrid mode

Role of Drug Repurposing in Cancer Treatment and Liposomal Approach of Drug Targeting

Cancer is the leading cause of death, and incidences are increasing significantly and patients suffering from it desperately need a complete cure from it. The science of using an already-invented drug that has been approved by the FDA for a new application is known as “drug repurposing.” Currently, scientists are drawn to drug repositioning science in order to investigate existing drugs for newer therapeutic uses and cancer treatment. Because of their unique ability to target cancer cells, recently repurposed drugs and the liposomal approach are effective in the treatment of cancer. Liposomes are nanovesicles that are drastically flexible, rapidly penetrate deeper layers of cells, and enhance intracellular uptake. More importantly, liposomes are biocompatible, biodegradable; entrap both hydrophobic and hydrophilic drugs. This chapter summarizes various approaches to drug repurposing, as well as drug repurposing methods, advantages and limitations of drug repurposing, and a liposomal approach to using repurposed drugs in cancer targeting. This chapter also summarizes liposomal structure, drug loading, and the mechanism of liposomes in targeted cancer treatment. The lipid-based liposomal approach is emerging as a powerful technique for improving drug solubility, bioavailability, reducing side effects, and improving the therapeutic efficacy of repurposed drugs for cancer treatment

Calibration of the CMS hadron calorimeters using proton-proton collision data at root s=13 TeV

Methods are presented for calibrating the hadron calorimeter system of theCMSetector at the LHC. The hadron calorimeters of the CMS experiment are sampling calorimeters of brass and scintillator, and are in the form of one central detector and two endcaps. These calorimeters cover pseudorapidities vertical bar eta vertical bar ee data. The energy scale of the outer calorimeters has been determined with test beam data and is confirmed through data with high transverse momentum jets. In this paper, we present the details of the calibration methods and accuracy.Peer reviewe