Unveiling extra dimensions through the shadow of a dark star

The shadow of a black hole or a collapsing star is of great importance as we can extract important properties of the object and of the surrounding spacetime from the shadow profile. It can also be used to distinguish different types of black holes and ultra compact objects. In this work, we have analytically calculated the shadow of a higher dimensional collapsing dark star, described by higher dimensional Vaidya metric, by choosing a slightly generalized version of Misner Sharp mass function. We have also numerically investigated the properties of the shadows of the black holes and the collapsing stars for a slightly more general mass function. Examining the potential influence of extra spatial dimensions on the shadow, we have explored the possibility of distinguishing higher dimensions from the standard four dimensional spacetime.Comment: 15 pages, 4 figure

A Level-Wise Periodic Tree Construction Mechanism for Sleep Scheduling in WSN

The wireless sensor network(WSN) has been extensively used to monitor and control the natural ecosystem on a large scale like air quality, natural life, etc. Low battery power,low storage, and limited processing ability are the most critical areas of concern in WSN. To reduce energy utilization, the sensor nodes in WSN work in a cyclic process between active and sleep mode. A certain number of nodes are chosen active and they areresponsible for sensing as well as data transmission and rest of the nodes are gone to sleep. In order to lengthen the lifetime of network, in this paper we proposed a level wise periodic tree construction algorithm that uses a specific set of nodes to participate in tree construction, instead of all the nodes, to minimize the energy consumption. In this proposed approach, the main idea is to put the nodes, which are currently active and have already spent a significant amount of energy, to sleep mode, while giving chances to the leaf nodes, which has comparatively spent less energy, to become an active node and maintain connectivity. The performance of the proposed protocol is evaluated usingthe Castalia simulator. The simulation results show that the proposed level-wise periodic tree construction approach increases the durability of the network in conjunction with the non-level approach

Quantum Implementation of ASCON Linear Layer

In this paper, we show an in-place implementation of the ASCON linear layer. An in-place implementation is important in the context of quantum computing, we expect our work will be useful in quantum implementation of ASCON. In order to get the implementation, we first write the ASCON linear layer as a binary matrix; then apply two legacy algorithms (Gauss-Jordan elimination and PLU factorization) as well as our modified version of Xiang et al.\u27s algorithm/source-code (published in ToSC/FSE\u2720). Our in-place implementation takes 1595 CNOT gates and 119 quantum depth; and this is the first in-place implementation of the ASCON linear layer, to the best of our knowledge

Green Chemo-Prevention: An Integrated Review Between Agriculture and Medicine

The isothiocyanate's chemoprevention properties are reported to be present in cruciferous veggies through a variety of mechanisms. Sulforaphane, a phytochemical found in green leafy vegetables, has shown promise in the prevention and treatment of several cancers, including those of the prostate, breast, colon, skin, urinary bladder, and oral cavities. These malignancies include those that affect these organs. This substance is naturally present in broccoli sprouts, kale, cabbage, cauliflower, and garden cress. Broccoli should be a regular part of your diet because it contains a variety of bioactive substances such as vitamins, polyphenols, sulfides, glucosinolates, and antioxidants. Sulforaphane may be used as an inexpensive replacement or dietary supplement for chemo preventive therapy, according to the findings of epidemiological and experimental studies. Phase 2 detoxification enzymes like glutathione transferases, epoxide hydrolase, NAD(P)H: quinone reductase, and glucuronosyltransferases, as well as epoxide hydrolase and epoxide hydrolase, are produced when the body is stimulated. This is a useful tactic for preventing cancer and fending off the harm that electrophiles and reactive oxygen species can cause. Isothiocyanates are widely distributed in the Cruciferae family and Brassica genus of food plants, which include both broccoli and cauliflower. The most typical form of these substances is glucosinolate precursors. Sulforaphane and 4-methylsulfinylbutyl isothiocyanate, two of these isothiocyanates, are particularly powerful inducers of phase 2 enzymes. It is feasible to successfully extract glucosinolates and isothiocyanates from plants by homogenizing them at a temperature of around 50 degrees Celsius in a solution of equal parts dimethyl sulfoxide, dimethylformamide, and acetonitrile. This method avoids the hydrolysis of glucosinolates by myrosinase.   It's interesting to note that glucoraphanin, the precursor to sulforaphane, is 10–100 times more abundant in 3-day-old sprouts of various cruciferous vegetables, including broccoli and cauliflower than it is in fully grown veggies. Dimethylbenz(a)anthracene-treated rats displayed notable reductions in mammary tumor occurrence, quantity, and rate of growth when fed extracts from 3-day-old broccoli sprouts. These extracts' primary enzyme-inducing components were either glucoraphanin or sulforaphane. As a result, crucifer sprouts might provide an equivalent amount of cancer prevention to eating far larger quantities of the same mature vegetable species

Assessing cardiometabolic parameter monitoring in inpatients taking a second-generation antipsychotic : the CAMI-SGA study – a crosssectional study

Objectives This study aims to determine the proportion of initial cardiometabolic assessment and its predicting factors in adults with schizophrenia, bipolar disorder or other related diagnoses for whom a second-generation antipsychotic was prescribed in the hospital setting. Design Cross-sectional study. Setting The psychiatry unit of a Canadian tertiary care teaching hospital in Montreal, Canada. Participants 402 patients with aforementioned disorders who initiated, restarted or switched to one of the following antipsychotics: clozapine, olanzapine, risperidone, paliperidone or quetiapine, between 2013 and 2016. Primary outcome measures We assessed the proportion of cardiometabolic parameters monitored. Secondary outcome measures We identified predictors that influence the monitoring of cardiometabolic parameters and we assessed the proportion of adequate interventions following the screening of uncontrolled blood pressure and fasting glucose or glycated haemoglobin (HbA1c) results. Results Only 37.3% of patients received monitoring for at least three cardiometabolic parameters. Blood pressure was assessed in 99.8% of patients; lipid profile in 24.4%; fasting glucose or HbA1c in 33.3% and weight or body mass index in 97.8% of patients while waist circumference was assessed in 4.5% of patients. For patients with abnormal blood pressure and glycaemic values, 42.3% and 41.2% subsequent interventions were done, respectively. The study highlighted the psychiatric diagnosis (substance induced disorder OR 0.06 95% CI 0.00 to 0.44), the presence of a court-ordered treatment (OR 0.79 95% CI 0.35 to 1.79) and the treating psychiatrist (up to OR 34.0 95% CI 16.2 to 140.7) as predictors of cardiometabolic monitoring. Conclusions This study reports suboptimal baseline cardiometabolic monitoring of patients taking an antipsychotic in a Canadian hospital. Optimising collaboration within a multidisciplinary team may increase cardiometabolic monitoring