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The issue of managing organic waste such as animal waste and industrial waste has emerged as a result of the fast development in urbanization around the world. It can be hazardous to the environment and public health if these are not properly stored, collected, and disposed of. These biological wastes can be turned into nutrient-rich biofertilizers using the vermicomposting process. The bio-oxidative method includes the combined activity of earthworms and microbes. The pH, organic carbon, organic matter, and the C:N ratio of the various organic waste mixtures showed a declining tendency during this process but the content of nitrogen, available phosphorous and exchangeable potassium showed a rising trend as the vermicomposting time progressed. Maximum earthworm growth and reproduction were reported better in different feed materials prepared from industrial wastes. Therefore, the present review article is based on the knowledge of using earthworms to stabilize waste.

Excessive use of chemical fertilizers and pesticides in agricultural field for the huge production of agricultural products causes adverse effect on environment as well as on human health. Animal dungs and agricultural wastes are serious problem for society so it needs to be managed properly. Vermicomposting is the best process for the management of these wastes with the help of earthworm Eisenia fetida and the by-products released from these vermicompost are used in enhancing the agricultural productivity. Soybean (Glycine max L.) is a short season leguminous crop which has been recognised as pulse-oil seed. It is a highly nutritive crop which contains 43% of protein and 20% of oil approximately but due to various reasons its production rate is decreasing day by day. The vermiwash and neem, garlic and tobacco based biopesticides are being used as an alternative for chemical fertilizers and pesticides. The aim of present study was to observe the growth, flowering and productivity of soybean plant after foliar spray of vermiwash obtained from gram bran (GB) and buffalo dung (BD) with combinations of aqueous extracts of garlic, neem and tobacco leaves. The significant growth (cm) and productivity (g/m2) were observed after the foliar spray of vermiwash (GB+BD) and aqueous extracts of biopesticides (garlic, neem and tobacco leaves). The highest growth of soybean (49.2±2.6 cm) was observed after foliar application of vermiwash (GB+BD) with aqueous extract of neem leaves in ratio of 10:1 whereas, the maximum significant early flowering period (32.3±2.5 days) and productivity (423±14 g/m2) were obtained after treatment of vermiwash (GB+BD) with aqueous extract of neem, garlic and tobacco leaves in ratio of 10:1:1:1. The use of vermiwash with biopesticides in increasing agricultural product is a boon for crops as it is environmentally beneficial and costeffective alternative to chemical fertilizers and synthetic pesticides.

The recently introduced topological heavy fermion model (THFM) provides a means for interpreting the low-energy electronic degrees of freedom of the magic angle twisted bilayer graphene as hybridization amidst highly dispersing topological conduction and weakly dispersing localized heavy fermions. In order to understand the Landau quantization of the ensuing electronic spectrum, a generalization of THFM to include the magnetic field B is desired, but currently missing. Here we provide a systematic derivation of the THFM in B and solve the resulting model to obtain the interacting Hofstadter spectra for single particle charged excitations. While naive minimal substitution within THFM fails to correctly account for the total number of magnetic subbands within the narrow band i.e. its total Chern number, our method -- based on projecting the light and heavy fermions onto the irreducible representations of the magnetic translation group -- reproduces the correct total Chern number. Analytical results presented here offer an intuitive understanding of the nature of the (strongly interacting) Hofstadter bands., Comment: 17+50 pages, 9+11 figures

Providing feedback on the argumentation of the learner is essential for developing critical thinking skills, however, it requires a lot of time and effort. To mitigate the overload on teachers, we aim to automate a process of providing feedback, especially giving diagnostic comments which point out the weaknesses inherent in the argumentation. It is recommended to give specific diagnostic comments so that learners can recognize the diagnosis without misinterpretation. However, it is not obvious how the task of providing specific diagnostic comments should be formulated. We present a formulation of the task as template selection and slot filling to make an automatic evaluation easier and the behavior of the model more tractable. The key to the formulation is the possibility of creating a template set that is sufficient for practical use. In this paper, we define three criteria that a template set should satisfy: expressiveness, informativeness, and uniqueness, and verify the feasibility of creating a template set that satisfies these criteria as a first trial. We will show that it is feasible through an annotation study that converts diagnostic comments given in a text to a template format. The corpus used in the annotation study is publicly available., Comment: LREC2022. The dataset is available at https://github.com/cl-tohoku/TYPIC

Integrating intelligent reflecting surface (IRS) and Rate-Splitting Multiple Access (RSMA) is an effective solution to improve the spectral/energy efficiency in next-generation (beyond 5G (B5G) and 6G) wireless networks. In this paper, we investigate a rate-splitting (RS)-based transmission technique for an IRS-aided communication network involving both near and cell-edge users. In particular, we derive a new architecture called IRS-RS that leverages the interplay between RS and IRS, with an aim to maximize the weighted sum-rate (WSR) of users by selecting the reflecting coefficients at the IRS and designing beamformers at the BS under the constraints of power at the base station (BS), quality of service (QoS) at each user and finite resolution at the IRS. To solve the non-convex WSR maximization problem, we propose an alternating algorithm and compare its performance with baseline non-orthogonal multiple access (NOMA) based transmission for an IRS-aided communication network for both perfect and imperfect CSIT cases. Through numerical results, it is shown that the proposed IRS-RS architecture yields better QoS with respect to the cell-edge users when compared to IRS-NOMA transmission scheme.

In this paper, we study a set-up in which quantum dot is tunnel-coupled to Majorana-Kramers pair(MKP) which are the edge modes of time reversal invariant topological superconductor (TRITOPS), which is an experimental realization of time reversal invariant Kitaev chain model. Our motivation is to study the effect of Majorana-Kramers pair on Kondo fixed point and conversely the effect of Kondo interaction on Majorana-Kramers pair. This way we can capture the signatures of Majorana fermions on Kondo effect in quantum dots which can be probed feasibly in experiments. Employing the renormalization group method, we report the first study of the signatures of Majorana-Kramers pair in the dynamical spin susceptibility of the quantum dot electrons. We not only calculate the flow equations for coupling constants but also study the renormalization of observables and especially calculate dynamical spin susceptibility. We propose that since these dynamical quantities have signatures of Majorana-Kramers pair, so they provide an unambiguous experimental probe for detection of Majorana fermions in TRITOPS., Comment: 17pages,updated references and introduction; comments are welcome

Background Uracil DNA glycosylase (UDG) plays a major role in repair of uracil formed due to deamination of cytosine. UDG in human cells is present in both the nucleus and mitochondrial compartments. Although, UDG's role in the nucleus is well established its role in mitochondria is less clear. Results In order to identify UDG's role in the mitochondria we expressed UGI (uracil glycosylase inhibitor) a natural inhibitor of UDG in the mitochondria. Our studies suggest that inhibition of UDG by UGI in the mitochondria does not lead to either spontaneous or induced mutations in mtDNA. Our studies also suggest that UGI expression has no affect on cellular growth or cytochrome c-oxidase activity. Conclusions These results suggest that human cell mitochondria contain alternatives glycosylase (s) that may function as back up DNA repair protein (s) that repair uracil in the mitochondria.