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Objective: Heavy metal pollution is one of the more recent problems of environmental degradation caused by rapid industrialization and human activity. The objective of this study was to isolate, screen, and characterize heavy metal-resistant bacteria from solid waste disposal sites.

Methods: In this study, a total of 18 soil samples were randomly selected from mechanical sites, metal workshops, and agricultural land that received wastewater irrigation.

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Abraham Patchornik was born in 1926 in Ness Ziona, a town in Palestine founded by his great-grandfather Reuben Lehrer in 1883. He started to study chemistry as an undergraduate at the Hebrew University. However, this was interrupted by the war, and he completed his studies in various locations in West Jerusalem.

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Background: The social problems caused by depressive disorders and psychological behaviors in women are increasingly prominent, with extreme incidents occurring from time to time. Therefore, the issue concerning "how to prevent and resolve the risk of depression in women" is gaining significant attention across various sectors. However, previous studies have largely focused on teenage girls, perimenopausal women, or women during pregnancy and the postpartum period, neglecting the adverse effects of major diseases, which is detrimental to enhancing the psychological well-being of women with cancer.

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A backtracking heuristic algorithm for two-dimensional strip packing with rotation.

Sci Prog

January 2025

School of Mechanical & Electrical Engineering, Henan University of Technology, Zhengzhou, China.

A backtracking heuristic algorithm (BHA) was proposed for a two-dimensional rectangular strip packing problem with rotations and without guillotine cutting, which has many applications. An improved fitness strategy was used to select the fittest rectangle to be packed on a strip with a certain height. Next, a backtracking constructive heuristic was repeatedly used at a higher height until all the rectangles were packed.

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Missing data problems are common in biological, high-dimensional data, where data can be partially or completely missing. Algorithms have been developed to reconstruct the missing values by means of imputation or expectation-maximization algorithms. For missing data problems, it has been suggested that the regression model of interest should be incorporated into the imputation procedure to reduce bias of the regression coefficients.

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