Hepatocyte Lysosomal Membrane Stabilization by Olive Leaves against Chemically Induced Hepatocellular Neoplasia in Rats

Extensive efforts are exerted looking for safe and effective chemotherapy for hepatocellular carcinoma (HCC). Specific and sensitive early biomarkers for HCC still in query. Present work to study proteolytic activity and lysosomal membrane integrity by hepatocarcinogen, trichloroacetic acid (TCA), in Wistar rats against aqueous olive leaf extract (AOLE).TCA showed neoplastic changes as oval- or irregular-shaped hepatocytes and transformed, vesiculated, and binucleated liver cells. The nuclei were pleomorphic and hyperchromatic. These changes were considerably reduced by AOLE. The results added, probably for the first time, that TCA-induced HCC through disruption of hepatocellular proteolytic enzymes as upregulation of papain, free cathepsin-D and nonsignificant destabilization of lysosomal membrane integrity, a prerequisite for cancer invasion and metastasis. AOLE introduced a promising therapeutic value in liver cancer, mostly through elevating lysosomal membrane integrity. The study substantiated four main points: (1) the usefulness of proteolysis and lysosomalmembrane integrity in early prediction of HCC. (2) TCA carcinogenesis is possibly mediated by lysosomal membrane destabilization, through cathepsin-D disruption, which could be reversed by AOLE administration. (3) A new strategy for management of HCC, using dietary olive leaf system may be a helpful phytotherapeutic trend. (4) A prospective study on serum proteolytic enzyme activity may introduce novel diagnostic tools

Numerical investigation of the effect of tread pattern on rotating wheel aerodynamics

The present work investigates the dynamic effect of wheel rotation on the aerodynamic characteristics of slick type (ST) wheel of Formula One racing cars using a computational approach. The ST wheel model was compared to experimental results as a validation case. The pressure coefficient over the ST wheel circumference at its middle plane (xy) has been considered as an experimental case from literature and the computed results showed a reasonable agreement. Furthermore, a quantitative evaluation of the numerically-determined wheel drag, local separation and stagnation angles has been also compared to those extracted experimentally from literature. The validation work served by assessing the suitability of using Moving Reference Frame (MRF) method to simulate the effect of wheel rotation, as well as defining the most reliable conditions of testing such as the optimal meshing criteria, the computational domain size, and the adopted turbulence model. According to wheel studies, all computational work was performed at a Reynolds number of 6.8×105 based on the wheel diameter. The wheels aerodynamic drag, lift, and moment coefficients were computed for each wheel model. Further parametric study on the tread design of the tread type (TT) wheel was performed by varying the tread depth, h. Besides, general schematic pictures of the flow behavior around the TT wheel are presented

Towards A Robust Cad System For Early Diagnosis Of Autism Using Structural Mri

This chapter discusses a promising computer-aided diagnosis system, devised by our research team, for diagnosing autism at various stages of life, making use of the shape information in brain magnetic resonance imaging. Our system integrates the shape features extracted from both the cerebral white matter and the cerebral cortex

Promoci?n de microempresas gastron?micas con responsabilidad social en 6 regiones del Per?

El Programa de Apoyo Nutricional basado en Soya (PanSoy) es una instituci?n privada de responsabilidad social sin fines de lucro que opera en el Per? promoviendo la formaci?n de microempresas gastron?micas autosostenibles y socialmente responsables en comunidades en estado de necesidad. Para lograr su visi?n y objetivos de intervenci?n social, cuenta con un portafolio de proyectos con alcances y presupuestos similares los cuales se ejecutan en diversas regiones del Per?. Los beneficiarios de estos proyectos se denominan microempresas del rubro gastron?mico. El objetivo principal de este proyecto de tesis es desarrollar el plan de gesti?n del Proyecto ?Promoci?n de microempresas gastron?micas con responsabilidad social en 6 regiones del Per?? utilizando las mejores pr?cticas del PMI indicados en la Gu?a del PMBOK? ? sexta edici?n. El modelo de intervenci?n PanSoy permite la entrega en comodato de un capital inicial de trabajo (equipamiento y granos de soya) a los microempresarios admitidos que tienen la oportunidad de llevar a cabo sus propios emprendimientos en las siguientes l?neas de negocio: pasteler?a, catering y buffet, restaurante y fuente de soda. Estas microempresas deben cumplir con entregar raciones diarias basadas en soya a las personas en estado de necesidad de su comunidad

New q-deformed coherent states with an explicitly known resolution of unity

We construct a new family of q-deformed coherent states $|z>_q$, where $0 < q < 1$. These states are normalizable on the whole complex plane and continuous in their label $z$. They allow the resolution of unity in the form of an ordinary integral with a positive weight function obtained through the analytic solution of the associated Stieltjes power-moment problem and expressed in terms of one of the two Jacksons's $q$-exponentials. They also permit exact evaluation of matrix elements of physically-relevant operators. We use this to show that the photon number statistics for the states is sub-Poissonian and that they exhibit quadrature squeezing as well as an enhanced signal-to-quantum noise ratio over the conventional coherent state value. Finally, we establish that they are the eigenstates of some deformed boson annihilation operator and study some of their characteristics in deformed quantum optics.Comment: LaTeX, 26 pages, contains 9 eps figure

Modelling the barriers to multi-stakeholder collaboration for COVID-19 pandemic response: evidence from Sub-Saharan Africa

The aim of this study is to develop a model describing the interactions and interdependence between the obstacles to effective implementation of a collaborative model of pandemic preparedness and response. A comprehensive review of the relevant literature highlighted 15 key variables. The contextual interactions between these barrier variables were identified based on the opinions of experts with COVID-19 pandemic experience and analysed to determine their driving and dependence powers using interpretive structural modelling. The findings indicate that the lack of guidelines and procedures for coordinated actions, differences in organisational culture (working habits) and funding constraints are the most critical barriers to effective multi-stakeholder collaboration. Managers of collaborative programmes, policymakers and researchers should carefully focus on these hindrances because any improvement in them can significantly affect the overall system

Lessons learned from the NeurIPS 2021 MetaDL challenge:Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification

Although deep neural networks are capable of achieving performance superior to humans on various tasks, they are notorious for requiring large amounts of data and computing resources, restricting their success to domains where such resources are available. Metalearning methods can address this problem by transferring knowledge from related tasks, thus reducing the amount of data and computing resources needed to learn new tasks. We organize the MetaDL competition series, which provide opportunities for research groups all over the world to create and experimentally assess new meta-(deep)learning solutions for real problems. In this paper, authored collaboratively between the competition organizers and the top-ranked participants, we describe the design of the competition, the datasets, the best experimental results, as well as the top-ranked methods in the NeurIPS 2021 challenge, which attracted 15 active teams who made it to the final phase (by outperforming the baseline), making over 100 code submissions during the feedback phase. The solutions of the top participants have been open-sourced. The lessons learned include that learning good representations is essential for effective transfer learnin

Semiclassical Mechanics of the Wigner 6j-Symbol

The semiclassical mechanics of the Wigner 6j-symbol is examined from the standpoint of WKB theory for multidimensional, integrable systems, to explore the geometrical issues surrounding the Ponzano-Regge formula. The relations among the methods of Roberts and others for deriving the Ponzano-Regge formula are discussed, and a new approach, based on the recoupling of four angular momenta, is presented. A generalization of the Yutsis-type of spin network is developed for this purpose. Special attention is devoted to symplectic reduction, the reduced phase space of the 6j-symbol (the 2-sphere of Kapovich and Millson), and the reduction of Poisson bracket expressions for semiclassical amplitudes. General principles for the semiclassical study of arbitrary spin networks are laid down; some of these were used in our recent derivation of the asymptotic formula for the Wigner 9j-symbol.Comment: 64 pages, 50 figure