1,288 research outputs found
Isoclinism in multiplicative Lie algebras
The purpose of this paper is to introduce the notion of isoclinism and cover
in a multiplicative Lie algebra which may be helpful to describe all
multiplicative Lie algebra structures on a group. Consequently, we give the
existence of the stem multiplicative Lie algebra. We also give the necessary
and sufficient conditions for the existence of stem cover of a multiplicative
Lie algebra
Nilpotency and Capability in multiplicative Lie algebras
This paper aims to introduce the concept of nilpotency and capability in
multiplicative Lie algebras. Also, we see the existence of covers of a
multiplicative Lie algebra and thoroughly examine their relationships with
capable and perfect multiplicative Lie algebras
MEDICINAL PLANTS WITH NEUROPHARMACOLOGICAL PROPERTIES FROM INDIAN ORIGIN
Neuropharmacology is the scientific study of the effects of drugs on the central nervous system. Its primary focus is actions of medications for psychiatric and neurologic disorders as well as those of drugs of abuse. The goal of Neuropharmacology is to apply information about drugs and their mechanisms of action, develop safer and more effective treatments and eventually curative and preventive measures for a host of nervous system abnormalities. There are a number of drugs being used in the traditional medicine for treatment of various CNS disorders and presently many of these drugs are being explored scientifically to ascertain their CNS activities. Significant number of studies has been performed to find alternative treatment for diseases of the nervous forum by identifying structures with activity at the central nervous system. However, most of the screenings are usually conducted on an ad hoc basis and not systematically. The initial purpose of this review is to summarize plants with neuropharmacological activities, in particular, those that have not been fully studied and that have molecular mechanisms whose active constituents are responsible for the activities remained to be identified. The second purpose was to identify potential target plants for future studies of new and alternative therapies for the treatment of neurological disorders and neurodegenerative diseases
On the Direct Construction of MDS and Near-MDS Matrices
The optimal branch number of MDS matrices makes them a preferred choice for
designing diffusion layers in many block ciphers and hash functions.
Consequently, various methods have been proposed for designing MDS matrices,
including search and direct methods. While exhaustive search is suitable for
small order MDS matrices, direct constructions are preferred for larger orders
due to the vast search space involved. In the literature, there has been
extensive research on the direct construction of MDS matrices using both
recursive and nonrecursive methods. On the other hand, in lightweight
cryptography, Near-MDS (NMDS) matrices with sub-optimal branch numbers offer a
better balance between security and efficiency as a diffusion layer compared to
MDS matrices. However, no direct construction method is available in the
literature for constructing recursive NMDS matrices. This paper introduces some
direct constructions of NMDS matrices in both nonrecursive and recursive
settings. Additionally, it presents some direct constructions of nonrecursive
MDS matrices from the generalized Vandermonde matrices. We propose a method for
constructing involutory MDS and NMDS matrices using generalized Vandermonde
matrices. Furthermore, we prove some folklore results that are used in the
literature related to the NMDS code
On the Construction of Near-MDS Matrices
The optimal branch number of MDS matrices makes them a preferred choice for
designing diffusion layers in many block ciphers and hash functions. However,
in lightweight cryptography, Near-MDS (NMDS) matrices with sub-optimal branch
numbers offer a better balance between security and efficiency as a diffusion
layer, compared to MDS matrices. In this paper, we study NMDS matrices,
exploring their construction in both recursive and nonrecursive settings. We
provide several theoretical results and explore the hardware efficiency of the
construction of NMDS matrices. Additionally, we make comparisons between the
results of NMDS and MDS matrices whenever possible. For the recursive approach,
we study the DLS matrices and provide some theoretical results on their use.
Some of the results are used to restrict the search space of the DLS matrices.
We also show that over a field of characteristic 2, any sparse matrix of order
with fixed XOR value of 1 cannot be an NMDS when raised to a power of
. Following that, we use the generalized DLS (GDLS) matrices to
provide some lightweight recursive NMDS matrices of several orders that perform
better than the existing matrices in terms of hardware cost or the number of
iterations. For the nonrecursive construction of NMDS matrices, we study
various structures, such as circulant and left-circulant matrices, and their
generalizations: Toeplitz and Hankel matrices. In addition, we prove that
Toeplitz matrices of order cannot be simultaneously NMDS and involutory
over a field of characteristic 2. Finally, we use GDLS matrices to provide some
lightweight NMDS matrices that can be computed in one clock cycle. The proposed
nonrecursive NMDS matrices of orders 4, 5, 6, 7, and 8 can be implemented with
24, 50, 65, 96, and 108 XORs over , respectively
Pulmonary Capillary Hemangiomatosis: A Rare Cause of Pulmonary Arterial Hypertension, Presenting as Supraventricular Tachycardia
With a prevalence of less than 1/million, Pulmonary Capillary Hemangiomatosis is a rare disorder of capillary proliferation in the alveolar septae leading to pulmonary arterial hypertension and mimics pulmonary veno-occlusive disease
Efficacy and safety of hydroxychloroquine when added to stable insulin therapy in combination with metformin and glimepiride in patients with type 2 diabetes compare to sitagliptin
Background: The trial was done to evaluate the efficacy and tolerability of hydroxychloroquine when added to stable insulin therapy in combination with metformin and glimepiride in patients with type 2 diabetes (T2DM) compare to sitagliptin.Methods: After two weeks run in period, eligible patients inadequately controlled on long acting, intermediate acting or premixed insulin (HbA1c ≥7.5% and ≤10%), in combination with metformin and glimepiride were randomised 1:1 to the addition of once daily hydroxychloroquine 400mg or sitagliptin 100mg over 24weeks study period. The primary endpoint was HbA1c change from baseline at week 24. Home based glucometer was used to determine finger stick glucose value to detect hypo or hyperglycemia periodically.Results: At 24 weeks, the addition of hydroxychloroquine significantly (p <0.001) reduced HbA1c by 1.3% compared with Sitagliptin which was 0.9%. A greater proportion of patients achieved an HbA1c level <7% while randomised to Hydroxychloroquine as compared with sitagliptin (31 vs. 18% respectively; p <0.001). The addition of hydroxychloroquine significantly (p<0.001) reduced fasting plasma glucose by 31.0mg/dl (vs 23.2mg/dl with sitagliptin) and post prandial plasma glucose by 52.1mg/dl (vs 41mg/dl with sitagliptin) relative to sitagliptin. The difference in mean value of total daily insulin dose showed a highly significant decrease (P <0.0001) from baseline to end of the treatment with hydroxychloroquine i.e. from 41±10.2 to 31.87±16.49 IU as compare to sitagliptin i.e. from 41±10.6 to 37.91±11.71 IU. And also highly significant (P <0.0001) decrease in mean weight was observed at the end of trial with hydroxychloroquine.Conclusions: Hydroxychloroquine decreases HbA1c in patients whose type 2 diabetes is poorly controlled with stable-dose insulin therapy with metformin and glimepiride
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