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The left atrium (LA) plays a vital role in maintaining normal cardiac function. LA volume and function have been utilised as important imaging biomarkers, with their prognostic value demonstrated in multiple cardiac conditions. More recently, there has been a sharp increase in the number of publications utilising LA strain by echocardiography and cardiac magnetic resonance (CMR) imaging. However, little is known about its prognostic value or reproducibility as a technique. In this review, we aim to highlight the conventional and novel imaging techniques available for LA assessment, using echocardiography and CMR, their role as an imaging biomarker in cardiovascular disease, the reproducibility of the techniques and the current limitations to their clinical application. We identify a need for further standardisation of techniques, with establishment of 'normal' cut-offs before routine clinical application can be made.Three-dimensional cardiovascular fluid dynamics simulations typically require computation of several cardiac cycles before they reach a periodic solution, rendering them computationally expensive. Furthermore, there is currently no standardized method to determine whether a simulation has yet reached that periodic state. In this work, we propose the use of an asymptotic error measurement to quantify the difference between simulation results and their ideal periodic state using open-loop lumped-parameter modeling. We further show that initial conditions are crucial in reducing computational time and develop an automated framework to generate appropriate initial conditions from a one-dimensional model of blood flow. We demonstrate the performance of our initialization method using six patient-specific models from the Vascular Model Repository. In our examples, our initialization protocol achieves periodic convergence within one or two cardiac cycles, leading to a significant reduction in computational cost compared to standard methods. All computational tools used in this work are implemented in the open-source software platform SimVascular. Automatically generated initial conditions have the potential to significantly reduce computation time in cardiovascular fluid dynamics simulations.Biological electroporation is a process of opening pores in the cell membrane when exposed to intense electric fields. click here This work provides results for validation of a dynamic model of electroporation on biological tissues. Computational simulations were carried out and results for the electrical current through the tissue and increase of the tissue temperature were compared to experimental results. Two calculation methods were used Equivalent Circuit Method and Finite Element Method. With Equivalent Circuit Method the dielectric dispersion present in biological tissues was included. Liver, kidney and heart of rabbit were used in the experiments. Voltage pulse protocols and voltage ramps were applied using stainless steel needles electrodes. There is good agreement between the simulated and experimental results with mean errors below 15%, with the simulated results within the experimental standard deviation. Only for the protocol with fundamental frequency of 50 kHz, the simulation performed by the Finite Element Method using a commercial software did not correctly represent the current, with errors reaching 50%. The justification for the error found is due to the dielectric dispersion that was not included in this simulator.Impaired subjective awareness of problem gambling may act as a barrier to help-seeking and treatment adherence. However, the impact of impaired problem gambling awareness on clinical and social outcomes has received little empirical study. The aim of this study was to develop and investigate the psychometric properties of a novel scale that measures impaired illness awareness in individuals with problem gambling. We developed the Gambling Awareness and Insight Scale (GAS), a self-report measure that assesses the core theoretical constructs of illness awareness in problem gambling, namely General Disorder or Problem Awareness, Accurate Symptom Attribution, Awareness of Need for Treatment and the Negative Consequences attributable to problem gambling ( www.illnessawarenessscales.com ). Data were acquired from an online survey platform, Dynata, to evaluate the psychometric properties of the GAS. A total of 100 participants aged 18 years or older with problem gambling defined by a score of 4 or more on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) Pathological Gambling Diagnostic Form were included. The GAS demonstrated good convergent (r = 0.57, p  less then  0.001) and discriminant validity (r = - 0.18, p = 0.080). It also demonstrated good internal consistency (Cronbach's α = 0.80) and one-month test-retest reliability (intra-class correlation = 0.86). An exploratory factor analysis suggested retention of two components. The GAS is a novel psychometric tool designed to evaluate impaired subjective illness awareness in problem gambling. Initial evidence suggests that the GAS can be used in research and clinical settings to evaluate the impact of impaired problem gambling awareness on adherence to treatment programs, clinical and psychosocial outcomes. Replication in applied settings is needed.The High-Risk Human Papillomaviruses (HR-HPVs) 16 and 18 are known to cause cervical cancer, which is primarily attributed to E6 and E7 oncoproteins. In addition, recent studies have focused on the vital role of the p130 pocket protein as an oncosuppressor to limit the expression of E2F transcription factors required for cell cycle progression. In view of this, the current study was conducted to investigate the mechanism by which transfection with HPV16/18 E7 leads to the deregulation of the host cell cycle, altering the localisation of p130, and expression of differentiation genes in Human Keratinocytes (HaCaT) cells. Co-immunoprecipitation, Western blot analysis, immunofluorescence microscopy, flow cytometry, quantitative-Polymerase Chain Reaction (qPCR), and the inhibition of p130 by MG132 inhibitor were employed to investigate the loss of p130 and its disruption in HPV 16/18 E7-transfected HaCaT cells. The HPV16- and HPV18-transformed cells, known as CaSki and HeLa, respectively, were also used to complement the ectopic expressions of E7 in HaCaT cells.