3D semiconducting nanostructures via inverse lipid cubic phases.

Well-ordered and highly interconnected 3D semiconducting nanostructures of bismuth sulphide were prepared from inverse cubic lipid mesophases. This route offers significant advantages in terms of mild conditions, ease of use and electrode architecture over other routes to nanomaterials synthesis for device applications. The resulting 3D bicontinous nanowire network films exhibited a single diamond topology of symmetry Fd3m (Q227) which was verified by Small angle X-ray scattering (SAXS) and Transmission electron microscopy (TEM) and holds great promise for potential applications in optoelectronics, photovoltaics and thermoelectrics

Epidemiological and Histological Characteristics of Breast Cancer in the Sidi Bel Abbes Region: An Anatomopathological and Immunohistochemical Study

Breast cancer is a significant public health issue, both in Algeria and worldwide. In our country, it is the most common cancer among women and the leading cause of female mortality. The diagnosis of breast cancer is made through anatomopathology. The immunohistochemical study is an essential examination; it allows for the assessment of hormonal receptor and HER2 status, valuable information for oncologists to provide better therapeutic management.Our work involves conducting a histopathological study, both macroscopically and through optical microscopy, of breast cancers. The objective is to perform a descriptive retrospective epidemiological study and to catalog the histological types of breast cancer in Sidi Bel Abbes, as well as to assess the mastery of histological and immunohistochemical techniques in diagnosing breast cancer and detecting hormonal receptors (ER, PR), HER2, and Ki-67.The distribution of 134 patients by age shows that the most affected age group is [50 – 55] years, with 28 cases. The most common histological type is Invasive Ductal Carcinoma, accounting for 48.50%. According to the Scarff Bloom Richardson histoprognostic grade, we subdivided our sample into classes. This classification indicates that 75% of the cases are grade II, 16% are grade III, and 9% are grade I. From an immunohistochemical perspective, hormone-sensitive proliferations ER+ PR+ represent all cases, while HER2 grade III is overexpressed in 55 patients. Our study also shows that out of the 134 cases, 72 tumors, or 54%, have a high Ki67 level of ≥ 14%, and 62 tumors, or 46%, have a level < 14%. This study requires further investigation to better understand the major causes of breast cancer for improved patient management

A Fast and Straightforward Solver for Generation Allocation Problem Including Losses using A Hopfield Network

Abstract In this paper, a fast solver for generation allocation problem including transmission losses using a Hopfield Neural Network (HNN) approach is presented. The proposed HNN is distinguished by a direct computation method mapped to the generation allocation problem of thermal generators commonly known as economic dispatch (ED). The developed HNN employs a linear input-output model for the transfer function of neurons. Formulations for solving the ED problem are explored, through the application of these formulations; direct computation instead of iterations for solving the problem without losses becomes possible. Not like the usual Hopfield methods, which select the weighting factors of the energy function by trials, the proposed method determines the corresponding factors only by calculations. To include the transmission losses, a dichotomy method is combined to the Hopfield Neural Network iteratively. The effectiveness of the developed method is identified through its application to the 15-unit system. Computational results manifest that the method has a lot of excellent performances