The Y-box binding protein (YB-1) is known to be a multifunctional transcription and translation factor during expression of several proteins. It is a vital oncoprotein that regulates cancer cell progression and proliferation. YB-1 is over-expressed in various human cancers such as breast cancer, colon cancer, lung cancer, gastric cancer, oesophageal cancer and glioblastoma. Nuclear expression of YB-1 is found to be associated with multidrug resistance and cancer cell progression. YB-1 is reported to regulate many cellular signalling pathways in different types of cancer proliferation. Knowledge about nuclear localization and nuclear level expression of YB-1 in different cancers has been correlated with prospective prognosis of cancer. This review discusses the prospects of YB-1 as a potential biomarker as well as therapeutic target in lieu of their role during cancer progression and multidrug resistance.

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Summary The work described in this paper is motivated by the need to develop efficient and robust estimation filters with application to terrain‐aided navigation of underwater robotic vehicles. One of the main problems addressed is the development of navigation particle filters that can deal with the scarcity of landmarks and the terrain ambiguity that characterize vast regions of the ocean floor. As a contribution to solve this problem, the paper proposes three novel particle filter algorithms and assesses their estimation efficiency and robustness to non‐informative measurements using two well‐known benchmarking tests. The performance of the new filters in these tests demonstrates their potential to solve a class of nonlinear problems that include, but are not limited to, the type of underwater navigation problem that motivated the present work. Our study concludes by examining the performance of the filters in terms of determining the position and velocity of an autonomous underwater vehicle in the presence of unknown ocean currents. When applied to terrain‐aided navigation, the novel particle filter formulations formulations mitigate filter divergence issues frequently caused by terrain symmetries and are more robust than other well‐known versions when used in scenarios with poor terrain information. The theoretical developments presented and the results obtained in simulations are validated using real data acquired during tests with an autonomous marine robot. Copyright © 2016 John Wiley & Sons, Ltd.

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Alzheimer's disease (AD) is one of the most common multifactorial diseases, including a range of abnormal cellular/molecular processes occurring in different regions of the brain. This disease is considered to be a major contributor to dementia in the elderly people. The pathophysiology involves accumulation of extracellular plaques containing the β-amyloid protein which is generated by the breakdown of the β-amyloid precursor protein (APP) in the brain. Another mechanism involves formation of intracellular neurofibrillary tangles of hyperphosphorylated tau protein. The AD can be classified into two types, familial AD (FAD) and sporadic AD (SAD) based on heritability apart from this the early-onset AD (EOAD) and late-onset AD (LOAD) forms are based on the age of onset. Some proteins, such as APOE, APP, BACE (b-amyloid cleaving enzyme), secretases, PS1/2 and tau proteins are reported in AD brain and have been correlated with disease. It is still unclear whether this disease comprises genetic or environmental factors or both. Many palliative drugs are available for the disease but there is still thirst for curative drugs with greater efficacy. It is required to understand the key factors involved in disease progression and their suitability as drug targets for discovering new drugs against Alzheimer's disease. Main purpose of this review is to highlight the potential targets for Alzheimer's disease that have been studied in recent years.