Уникальная формула этого крема позволяет улучшить цвет кожи, придать ей сияние - и вернуть очарование молодости. Антиоксиданты, входящие в состав крема, нейтрализуют вредное действие УФ излучения. Запатентованный комплекс Nanobright позволяет избавится от очагов гиперпигментации и получить ровный тон кожи с эффектом свечения.
СПОСОБ ПРИМЕНЕНИЯ: Используйте ежедневно утром и вечером. Крем может использоваться самостоятельно или в комбинации с сывороткой «СУПЕР СИЯНИЕ» для более выраженного эффекта.
Неравномерная пигментация кожи возникает под действием множества факторов и поэтому для ее коррекции необходим комплексный подход. Сыворотка содержит уникальное сочетание осветляющих компонентов - высокоэффективных и при этом нетоксичных и безопасных для кожи. Можно применять как для коррекции гиперпигментации, так и для профилактики - например, перед эстетическими процедурами или перед пребыванием на солнце.
СПОСОБ ПРИМЕНЕНИЯ: Применяется курсами. 4 -12 недель. Ежедневно утром и вечером наносите сыворотку на очищенную кожу лица. Подходит для любого типа кожи.
The focus area of this paper is on the assignment problem with budget constraints which is one of the application area of combinatorial optimization that operates on the domain of those optimization problems,in which the set of feasible solutions is discrete or can be reduced to discrete,and in which the goal is to find the best solution. It is particularly concerned with solving the unconstrained assignment problems with Hungarian algorithm and the constrained assignment problem by cutting plane or outer linearization algorithm for solving the Lagrangian dual problem in which, at each iteration,the function that approximates the dual function is optimized. The paper is divided in to two chapters. In the first chapter,the classical assignment problem,the problem of finding optimum (minimum or maximum) cost or profit assignment a set of workers or resources to jobs or activities to gather with its mathematical formulation,solution methods and special cases in assignment problems were considered. Under the second chapter, we have considered generalization of the classical assignment problem concerning resource(or budget) constraints, due to the variety of real life problems.
Revision with unchanged content. This study investigated the influence of computer-generated reminders on the rate in which distance learners submitted assignments and completed courses. The computer-generated reminders, sent via email, served as a time management support strategy. Participants were randomly divided into two groups: control and treatment. Both groups received a list of target due dates for course assignments. The control group did not receive reminders. The treatment group received reminders when they failed to submit an assignment by a target due date. The results indicated no significant difference between the control and treatment groups in terms of assignment submission rates and course completion rates. However, results of this study did reveal that the number of assignments in a distance course influences the timeliness of assignment completion and the likelihood of course completion.
When the only way to get at a target is by using a child, MI5 bring in special agents Tom and Zilla to help. On a school trip to a robotics lab, Tom and Zilla need to figure out how to stop an army of robots being hired out to criminal gangs. Join them as they investigate the secrets of Lab 101. Bloomsbury High Low books encourage and support reading practice by providing gripping, age-appropriate stories for struggling and reluctant readers, those with dyslexia, or those with English as an additional language.
Возвращает коже ровный тон и сияние; нейтрализует вредное воздействие УФ-излучения; избавляет от очагов гиперпигментации; обеспечивает глубокое увлажнение. Способ применения: Согласно инструкции. Объем: 50 мл
A wireless mesh networks (WMNs) has emerged recently, WMN consist of two types of nodes mesh routers and mesh clients.WMN is dynamically self-organized and self-configured, with the nodes in the network automatically establishing and maintaining mesh connectivity among themselves. Channel assignment is a critical issue in WMN which is the mapping between the available channels and the radios at each node such that the network performance is optimized, and hence the focus of this work along with static channel assignment, multi-radio, multi-channel. Multi-radio MAC can potentially achieve higher network capacity than single-radio MAC. We design and implement a new agent (DSBCA) distributed channel assignment spanner base, the routing protocol Optimize the network performance considering the throughput, end-to-end delay, connectivity and the interference of our channel assignment algorithm. Base on the network simulations NS2.34 on Linux Fedora and our proposed channel assignment algorithm improved the throughput, minimal-connectivity preserving channel assignment algorithm.
Over the years, rapid development in computer technology has engendered simulation-based laboratory(lab) in addition to the traditional real (physical) lab. Many higher education institutions adopt simulation lab, replacing some existing physical lab experiments. The creation of new systems for conducting engineering lab activities has raised concerns among educators on the merits and shortcomings of both physical and simulation laboratories. Many arguments have been raised on the differences of both labs. In this book, we discuss the current trends and key issues in engineering laboratories including remote lab.We also investigating the effectiveness of real and simulation labs from students’ perspectives on their experience conducting both laboratories exercises. Specific suggestions to develop and design engineering laboratory education were proposed, which are deemed to be useful to educators and researchers who are working on engineering laboratory education and design.
The efficient management of Change Requests (CRs) is fundamental for successful software maintenance; however the assignment of CRs to developers is an expensive aspect in this regard, due to the time and expertise demanded. To overcome this, researchers have proposed automated approaches for CR assignment. Although these proposals present advances to this topic, they do not consider many factors inherent to the assignments, such as: developers’ workload, CRs severity, interpersonal relationships, and developers know-how. Actually, as we demonstrate in this work, CR assignment is a complex activity and automated approaches cannot rely on simplistic solutions. Ideally, it is necessary to consider and reason over contextual information in order to provide an effective automation. Beyond investigating all these aspects through an extensive systematic literature review, this work also proposes a context-aware architecture solution to semi-automated assignment of CRs.
This book explains the port operations and proposes approaches that aim to improve the most important successive steps in container terminal management activities. A multi-period assignment problem that seeks to allocate vessels to berthing spaces and quay cranes is proposed to handle the quayside operations. Subsequently, on the yard side, a discrete-event simulation model for the real life detailed processes performed during the handling of import containers is developed. In particular, the model focuses on the storage assignment problem at the operational level in a container terminal with a multiple-berth structure. An approach by means of a hierarchical structure is adapted to partition the assignment problem into two sub-problems and solve each of them using separate decision rules. Suggested storage policies are evaluated in view of the overall performance of the container terminal.
The problem of distributing goods from depots to consumers plays an important role in the management of many distribution systems, and therefore when it is programmed efficiently it may yield significant savings. In a typical distribution system, trucks provide pick-up and delivery services to customers that are geographically dispersed in a given area. In many of its applications, the main objective of distribution is to find a set of routes for such trucks, satisfying a variety of constraints, so as to minimize the total distribution cost. This work focuses on a decision model for a real world problem. The problem reveals itself as assignment of trucks to routes by Latex Foam Rubber Products Limited-Kumasi, Ghana. This study addresses the problem of finding an efficient assignment of the limited number of trucks at the company’s disposal to the routes they ply while serving its customers outside the metropolis. In this work we use a solution procedure based on Munkres Assignment Algorithm for optimal assignment of non-homogenous fleet of trucks to a given set of routes, where Latex Foam Rubber Products Limited-Kumasi, distributes its products to its customers.
Modern day public transport assignment faces lots of problems. Solutions may exist but needs some form of backings. A sensitivity analysis in most cases could just be sufficient to provide this backing. The developments in this book are very important for students, academic researchers and policy makers. The book provides an extensive review on transit assignment, sensitivity analysis and OmniTRANS. It highlights important conclusions such as:- - Passenger access-egress distances significantly affects their access stop choices. - The travel distance parameter of the generalized cost function has the highest influence on transit assignment - The number of transfers to be made by passengers significantly determines their generalized cost of travel - A carefully conducted partial sensitivity analysis can provide better predictions than a Monte-Carlo sensitivity analysis. As a policy advice to public transport operators in Flanders-Belgium, the developments in this book suggest that; to improve transit assignment, it is sufficient to reduce passengers access-egress distances & the number of transfers either through the institution of more direct transit lines or missing links.