Electric-field control of magnetic domain wall motion and local magnetization reversal

Spintronic devices currently rely on magnetic switching or controlled motion of domain walls by an external magnetic field or spin-polarized current. Achieving the same degree of magnetic controllability using an electric field has potential advantages including enhanced functionality and low power consumption. Here, we report on an approach to electrically control local magnetic properties, including the writing and erasure of regular ferromagnetic domain patterns and the motion of magnetic domain walls, in multiferroic CoFe-BaTiO3 heterostructures. Our method is based on recurrent strain transfer from ferroelastic domains in ferroelectric media to continuous magnetostrictive films with negligible magnetocrystalline anisotropy. Optical polarization microscopy of both ferromagnetic and ferroelectric domain structures reveals that domain correlations and strong inter-ferroic domain wall pinning persist in an applied electric field. This leads to an unprecedented electric controllability over the ferromagnetic microstructure, an accomplishment that produces giant magnetoelectric coupling effects and opens the way to multiferroic spintronic devices.Comment: 6 pages, 4 figure

In vitro plantlet regeneration from nodal segments and shoot tips of Capsicum chinense Jacq. cv. Naga King Chili

An in vitro regeneration protocol was developed for Capsicum chinense Jacq. cv. Naga King Chili, a very pungent chili cultivar and an important horticultural crop of Nagaland (Northeast India). Maximum number of shoot (13 ± 0.70) was induced with bud-forming capacity (BFC) index of 10.8, by culturing nodal segments in Murashige and Skoog (MS) medium supplemented with 18.16 μM Thidiazuron (TDZ) followed by 35.52 μM 6-benzylaminopurine (BAP). Using shoot tips as explants, multiple shoot (10 ± 0.37) (BFC 8.3) was also induced in MS medium fortified with either 18.16 μM TDZ or 35.52 μM BAP. Elongated shoots were best rooted in MS medium containing 5.70 μM indole-3-acetic acid (IAA). Rooted plantlets thus developed were hardened in 2–3 weeks time in plastic cups containing potting mixture of a 1:1 mix of soil and cow dung manure and then subsequently transferred to earthen pots. The regenerated plants did not show any variation in the morphology and growth as compared to the parent plant

Harmful and beneficial aspects of Parthenium hysterophorus: an update

Parthenium hysterophorus is a noxious weed in America, Asia, Africa and Australia. This weed is considered to be a cause of allergic respiratory problems, contact dermatitis, mutagenicity in human and livestock. Crop production is drastically reduced owing to its allelopathy. Also aggressive dominance of this weed threatens biodiversity. Eradication of P. hysterophorus by burning, chemical herbicides, eucalyptus oil and biological control by leaf-feeding beetle, stem-galling moth, stem-boring weevil and fungi have been carried out with variable degrees of success. Recently many innovative uses of this hitherto notorious plant have been discovered. Parthenium hysterophorus confers many health benefits, viz remedy for skin inflammation, rheumatic pain, diarrhoea, urinary tract infections, dysentery, malaria and neuralgia. Its prospect as nano-medicine is being carried out with some preliminary success so far. Removal of heavy metals and dye from the environment, eradication of aquatic weeds, use as substrate for commercial enzyme production, additives in cattle manure for biogas production, as biopesticide, as green manure and compost are to name a few of some other potentials. The active compounds responsible for hazardous properties have been summarized. The aim of this review article is to explore the problem P. hysterophorus poses as a weed, the effective control measures that can be implemented as well as to unravel the latent beneficial prospects of this weed

Electrical conduction mechanism for the investigation of charge ordering in Pr0.5Ca0.5MnO3 manganite system

In the present work, a systematic investigation of electrical transport mechanism has been used as a tool to investigate the charge-order suppression and its crossover in Pr0.5Ca0.5MnO3 (PCMO) manganite system with varying particle size and applied magnetic field. The samples with different particle sizes were synthesized by adopting sol-gel method and sintering at different temperatures. The prepared samples were thoroughly characterized by various physicochemical techniques. The activation energy and density of states at Fermi level obtained from the temperature-dependent electrical resistivity data clearly show the charge order crossover signatures and its suppression in the samples below 70 nm particle size and applied magnetic fields above 4 T. The significant change in various electrical transport parameters with the particle size around 70 nm could be attributed to the melting of long-range charge ordering behavior due to surface spin disorder and induced lattice-strain effects in PCMO manganite system

Improving the Accuracy in Lung Cancer Detection Using NN Classifier

Lung cancer is a leading cause of cancer-related deaths worldwide, with a high mortality rate and a significant economic burden on health care systems. Traditional screening methods, such as X-rays and CT scans, have limitations in terms of accuracy and efficiency, leading to many cases of lung cancer being diagnosed at a later stage, when treatment options are limited. In this paper, we aim to develop a highly accurate and efficient tool for detecting lung cancer using a NN classifier. We first build a large dataset of medical images and patient data for training and evaluating the NN classifier. The dataset includes a variety of imaging modalities, including CT scans, X-rays, and other medical images. We then develop and train a NN classifier for lung cancer detection, using a deep learning technique. The NN classifiers optimized for high accuracy and efficiency, with the goal of achieving earlier and more accurate diagnosis of lung cancer. We evaluate the performance of the NN classifier using a variety of metrics, including sensitivity, specificity, and area under the receiver operating characteristic curve (AUC-ROC). The classifier is tested on a separate test dataset to ensure that it generalizes well to new data. We also compare the performance of the NN classifier to other traditional screening methods, such as X-rays and CT scans, to determine the potential impact of the NN classifier on lung cancer screening. Finally, we use explainable machine learning technique called as GLCM to identify specific features and patterns in medical images that are indicative of lung cancer. This analysis provides insights into other underlying mechanisms of lung cancer development and may lead to new discoveries and treatment options

Performance analysis of 4-bit ternary adder and multiplier using CNTFET for high speed arithmetic circuits

Multiple valued logic (MVL) can represent an exponentially higher number of data/information compared to the binary logic for the same number of logic bits. Compared to the conventional devices, the emerging device technologies such as Graphene Nano Ribbon Field Effect Transistor (GNRFET) and carbon nanotube field effect transistor (CNTFET) appears to be very promising for designing MVL logic gates and arithmetic circuits due to some exceptional electrical properties such as the ability to control the threshold voltage. This variation of the threshold voltage is one of the prescribed techniques to achieve multiple voltage levels to implement the MVL circuit.This work presents a 4-input ternary adder using carbon nanotube field effect transistor (CNTFET). Many researchers have been done work on implementation of ternary adders and multipliers. But no one has done the comparison of this proposed ternary adder with different types of nano transistors. Hence this work has been proposed a design of low power and high speed 4-input adder which will be useful for designing of fast ternary multipliers. All the proposed designs have been simulated using emerging device such as CNTFET at 32nm technology node. From the simulations, we have calculated the power consumptions of the proposed designs, carry propagation delay and power delay product for the CNTFET circuits. It has been observed that CNTFET based proposed logic circuits given a better performance than the conventional logical circuits