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Increased FUS levels in astrocytes leads to astrocyte and microglia activation and neuronal death

Mutations of Fused in sarcoma (FUS), a ribonucleoprotein involved in RNA metabolism, have been found associated with both familial and sporadic cases of amyotrophic lateral sclerosis (ALS). Notably, besides mutations in the coding sequence, also mutations into the 3′ untranslated region, leading to increased levels of the wild-type protein, have been associated with neuronal death and ALS patholog

Polaronic effect in the x-ray absorption spectra of La 1-x Ca x MnO 3 manganites

X-ray absorption spectroscopy (XAS) is performed to study changes in the electronic structures of colossal magnetoresistance (CMR) and charged ordered (CO) La1-x Ca x MnO3 manganites with respect to temperature. The pre-edge features in O and Mn K-edge XAS spectra, which are highly sensitive to the local distortion of MnO6 octahedral, exhibit contrasting temperature dependence between CMR and CO s

Relational Work in Lifestyle Enterprising : Sustaining the Tension Between the Personal and the Commercial

This article focuses on the negotiated distinction between commercial and non-commercial spheres of life through the phenomenon of lifestyle entrepreneurship. Lifestyle entrepreneurship is a concept used for a form of self-employment, based on the business owner´s own hobby or lifestyle. The article is based on a study of lifestyle enterprising in the tourism and hospitality industries in southern

Crafting Futures in Lebanese Refugee Camps: The Case of Burj El Barajneh Palestinian Camp

The initiative at the Burj El Barajneh camp is run by a network of local associations, and aims at improving living conditions, services, infrastructure and livelihoods for the inhabitants. Burj el Barajneh has a large number of active associations and many highly educated professionals. However, in this kind of complex hyperdense context any kind of change needs to be carefully considered, there

Superinduction of cytokine gene transcription by ciprofloxacin

In addition to their antibacterial properties, certain antibiotics are also biologic response modifiers. The fluorinated 4-quinolone, ciprofloxacin, for example, up-regulates IL-2 and IFN-γ production in PBLs stimulated in vitro. In the present study, ciprofloxacin was shown to increase the levels of mRNA for IL-1α, IL-2 and its receptor, IFN-γ, IL-3, IL-4, granulocyte- macrophage/CSF, TNF-α, and

CP-115,953 stimulates cytokine production by lymphocytes

The cytotoxic quinolone CP-115,953 specifically exerts its inhibitory effect upon eukaryotic topoisomerase II. CP-115,953 stimulates DNA cleavage mediated by topoisomerase II with a potency approximately 600 times greater than that of ciprofloxacin, a quinolone antibacterial agent that currently is in clinical use. Because ciprofloxacin has been reported to strongly enhance interleukin-2 productio

Low to moderate lifetime alcohol consumption is associated with less advanced stages of fibrosis in non-alcoholic fatty liver disease

Background and aim: Moderate alcohol consumption has been associated with a lower risk of disease severity in non-alcoholic fatty liver disease (NAFLD). It is unclear if this reflects current or lifetime drinking, or can be attributed to confounders such as diet and exercise. We evaluated the impact of lifetime alcohol consumption on fibrosis severity in NAFLD. Methods: We prospectively enrolled 1

Indian river watershed image analysis using fuzzy-CA hybrid approach

Image segmentation among overlapping land cover areas in satellite images is a very crucial task. Detection of belongingness is the important problem for classifying mixed pixels. This paper proposes an approach for pixel classification using a hybrid approach of Fuzzy C-Means and Cellular automata methods. This new unsupervised method is able to detect clusters using 2-Dimensional Cellular Automa

Handwritten Bangla numeral recognition using convolutional neural networks

Handwritten Bangla numeral recognition has been studied broadly in the last century. This is a very interest subject among the experimenters because of the progression of various pattern recognition algorithms. In this paper, we compare the results of most widely used machine learning method Like Multi Layer Percepton (MLP) and deep learning method like multilayer Convolutional Neural Network (CNN

Lesion segmentation using entropy based membership

The challenges faced in medical image processing makes image processing domain one of the active research areas nowadays. Brain tumors are aberrant growth formed by cells reproducing in an abnormal manner. Detecting the location of brain lesion (tumor) is essential as it helps in the diagnosis and cure of tumor. This paper proposes a novel clustering approach for the brain lesions in BRATS trainin

Offline writer verification based on Bangla handwritten characters using enhanced textual feature

This chapter proposes a novel offline text dependent writer verification method based on Gray Level Co-occurrence Matrix (GLCM). The method is used to combine the result of Dual Tree Complex Wavelet Transforms (DT-CWT) and GLCM features to enhance the GLCM feature performance. The texture is a very important characteristic, which is used to verify the known writer from unknown writers. We have use

Impact of heart failure and other comorbidities on mortality in patients with chronic obstructive pulmonary disease : A register-based, prospective cohort study

Background: Multimorbidity has already become common in primary care and will be a challenge in the future. Primary care in Sweden participates to a great extent in the care of patients with two severe, chronic conditions: chronic obstructive pulmonary disease (COPD) and heart failure. Both conditions are characterized by high mortality and often coexist. Age, sex, heart failure and other comorbid

Bicycle-friendly infrastructure planning in Beijing and Copenhagen - between adapting design solutions and learning local planning cultures

Cities around the world are constructing bicycle infrastructure to increase cycling. However, identifying efficient design solutions and determining how bicycle infrastructure planning knowledge can be integrated into comprehensive policy remains a challenge. The objective of this paper is to shed light on the strengths and weaknesses of current bicycle infrastructure planning in both an experienc