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The fouling of the membranes in skim milk ultrafiltration with the nominal molecular weight cut-off (MWCO) of 100 kDa fabricated from different polymers (polysulfone (PSF), polysulfonamide (PSA), aromatic polyamide (PA), polyacrylonitrile (PAN), cellulose acetate (CA) and regenerated cellulose (RC)) was studied. The membrane structure and physical-chemical properties of the selective layer were an

Background: Parastomal hernia (PSH) after urinary diversion with ileal conduit is frequently a clinical problem. Objective: To investigate whether a prophylactic lightweight mesh in the sublay position can reduce the cumulative incidence of PSH after open cystectomy with ileal conduit. Design, setting, and participants: From 2012 to 2017, we randomised 242 patients 1:1 to conventional stoma constr

In this chapter we will describe applications of latent semantic analysis to assess semantic linguistic maturity in children and how well the method can predict whether a child has developmental language disorder (DLD), based on orally produced narratives. Assessment of narrative ability in preschool years captures important cognitive, linguistic and socio-pragmatic skills and is an important prog

The overall aim of this chapter is to present a guide in how to efficiently measure and statistically analyze text and numerical data using the online software SemanticExcel.com; we will focus on the following main functions: 1. Computing semantic similarity scores between the semantic representations of two sets of texts. 2. Testing whether the semantic representations of two sets of texts statis

The design trend for the magnet system of modern synchrotron light sources is moving towards smaller magnet apertures with a reduction of magnet dimensions as a consequence. There are several reasons for this: • to increase the number of focusing cells in a given ring circumference • to increase the multipole field strengths • to reduce the total cost of the magnet and vacuum-systems This chapter

The ability of new neurons to promote repair of brain circuitry depends on their capacity to re-establish afferent and efferent connections with the host. In this review article, we give an overview of past and current efforts to restore damaged connectivity in the adult mammalian brain using implants of fetal neuroblasts or stem cell-derived neuronal precursors, with a focus on strategies aimed t

Introducing the concept of semantic representation in the brain as well as highlighting their relevance for day-to-day human functioning. Presenting a brief overview of different theoretical viewpoints on semantic representation in the brain along with empirical evidence implicating brain areas designated for semantic processing. Illustrating how statistical semantics and semantic spaces have been

Stem cell transplantation can improve behavioral recovery after stroke in animal models but whether stem cell-derived neurons become functionally integrated into stroke-injured brain circuitry is poorly understood. Here we show that intracortically grafted human induced pluripotent stem (iPS) cell-derived cortical neurons send widespread axonal projections to both hemispheres of rats with ischemic

Semantic analyses are potentially important, but underutilized, tools to study social psychology. This chapter focuses on how semantic analysis, using personal pronouns, can be used to study important phenomena in social psychology. Personal pronouns can be used as proxies for social categories, and the semantic contexts associated to these pronouns can be used to study stereotypes and how groups

The aims of this chapter include describing: how the semantic representations may be used to measure the semantic similarity between words. the validity of semantic similarity as measured by cosine. how semantic similarity scales can be used in research. how to apply t-test to compare two sets of texts using semantic similarity (i.e. “semantic” t-test). how to visualize the word responses by plott

This chapter focuses on using the semantic representations, consisting of a number of semantic dimensions, in multiple linear regressions to predict a numerical outcome variable. We examine whether there is a statistically significant relationship between texts and numerical values. Hence, we ask the question to what extent it is possible to predict numerical (or categorical) data from text data?.

Human beings create meaning from the fact that concepts tend to occur together in a predictable way. When we see a dog, we also see a tail, paws, eyes, legs, fur, and etcetera. In this context, we would see an owner who goes for a walk in the park with the dog that is attached to a leach, and the dog might bark. Thus, the concept of a dog is connected with these other concepts, and when these conc

BACKGROUND: Universal access to safe drinking water and sanitation facilities is an essential human right, recognised in the Sustainable Development Goals as crucial for preventing disease and improving human wellbeing. Comprehensive, high-resolution estimates are important to inform progress towards achieving this goal. We aimed to produce high-resolution geospatial estimates of access to drinkin

Certain mental processes are suggested to exist beyond conscious awareness and control. These processes have often been categorized as implicit, in contrast to explicit, processes, which are readily available to conscious report. Researchers have attempted to measure and assess these implicit processes in a different number of ways. Projective measures, for instance, present ambiguous or unstructu

To ameliorate the thermal management of a regenerative cooling system in an advanced engine, the turbulence characteristics and entropy generation in a buoyancy-driven supercritical hydrocarbon fuel flow are numerically explored in detail. Several common buoyancy criteria (Gr/Re2, Gr/Re2.7 and Grq/Grth) are established and a three-dimensional numerical model is solved with an advanced LES model. T

Natural radioactivity in the environment is a field gaining more attention in last decades. This work is focused on the study of natural radioactivity complemented with elementary characterization at former non-uraniferous mining areas in Sweden. This aim is addressed through the study of mining lakes, called pit lakes, which are water bodies generated after opencast mining. Environmental matrices

Coxsackievirus A24 variant (CVA24v) is a major causative agent of acute hemorrhagic conjunctivitis outbreaks worldwide, yet the evolutionary and transmission dynamics of the virus remain unclear. To address this, we analyzed and compared the 3C and partial VP1 gene regions of CVA24v isolates obtained from five outbreaks in Cuba between 1986 and 2009 and strains isolated worldwide. Here we show tha

Cerebrospinal fluid (CSF) neurofilament light (NfL) concentration has reproducibly been shown to reflect neurodegeneration in brain disorders, including Alzheimer's disease (AD). NfL concentration in blood correlates with the corresponding CSF levels, but few studies have directly compared the reliability of these 2 markers in sporadic AD. Herein, we measured plasma and CSF concentrations of NfL i

(“Dissolved organic carbon leaching flux in a mixed agriculture and forest watershed in Rwanda” [1]). This article presents data of leached dissolved organic carbon (LDOC), stream water dissolved organic carbon), rainfall amount (Ra), rainfall intensity (Ri), rainfall soil storage (S), runoff (Q), and soil properties such as total organic carbon (TOC), total nitrogen (TN), cation exchange capacity