‘The Mosques Are the Biggest Problem We’ve Got Right Now’ – Key Agent and Survivor Accounts of Engaging Mosques with Domestic and Honour-Based Violence in the United Kingdom.

This article considers the role of mosques in addressing domestic violence (DV) and honor-based violence (HBV) in the United Kingdom. Utilizing data extracted from interviews with 38 key agents and survivors, this article will highlight that some mosques can be difficult to engage with when attempting to raise awareness on violence against women (VAW). Participants explained that the patriarchal nature of mosques contributes to this difficulty together with their exclusion of women within organizational structures. Some mosques also deny that VAW is even a problem within their communities. This is a worrying trend as those on the pulpit often possess significant powers of influence across large congregations and are perfectly placed to help provoke dialogue on these issues. Furthermore, it adds yet another layer of inequality experienced by Muslim women that makes reporting abuse and seeking intervention that much more difficult. In the face of this resistance, this article will consider some ways in which mosques can raise awareness about VAW and where Muslim women can access support. It will also explore additional strategies and recommendations in relation to overcoming mosques unwilling to support VAW initiatives

Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings

Fetoscopy laser photocoagulation is a widely adopted procedure for treating Twin-to-Twin Transfusion Syndrome (TTTS). The procedure involves photocoagulation pathological anastomoses to restore a physiological blood exchange among twins. The procedure is particularly challenging, from the surgeon’s side, due to the limited field of view, poor manoeuvrability of the fetoscope, poor visibility due to amniotic fluid turbidity, and variability in illumination. These challenges may lead to increased surgery time and incomplete ablation of pathological anastomoses, resulting in persistent TTTS. Computer-assisted intervention (CAI) can provide TTTS surgeons with decision support and context awareness by identifying key structures in the scene and expanding the fetoscopic field of view through video mosaicking. Research in this domain has been hampered by the lack of high-quality data to design, develop and test CAI algorithms. Through the Fetoscopic Placental Vessel Segmentation and Registration (FetReg2021) challenge, which was organized as part of the MICCAI2021 Endoscopic Vision (EndoVis) challenge, we released the first large-scale multi-center TTTS dataset for the development of generalized and robust semantic segmentation and video mosaicking algorithms with a focus on creating drift-free mosaics from long duration fetoscopy videos. For this challenge, we released a dataset of 2060 images, pixel-annotated for vessels, tool, fetus and background classes, from 18 in-vivo TTTS fetoscopy procedures and 18 short video clips of an average length of 411 frames for developing placental scene segmentation and frame registration for mosaicking techniques. Seven teams participated in this challenge and their model performance was assessed on an unseen test dataset of 658 pixel-annotated images from 6 fetoscopic procedures and 6 short clips. For the segmentation task, overall baseline performed was the top performing (aggregated mIoU of 0.6763) and was the best on the vessel class (mIoU of 0.5817) while team RREB was the best on the tool (mIoU of 0.6335) and fetus (mIoU of 0.5178) classes. For the registration task, overall the baseline performed better than team SANO with an overall mean 5-frame SSIM of 0.9348. Qualitatively, it was observed that team SANO performed better in planar scenarios, while baseline was better in non-planner scenarios. The detailed analysis showed that no single team outperformed on all 6 test fetoscopic videos. The challenge provided an opportunity to create generalized solutions for fetoscopic scene understanding and mosaicking. In this paper, we present the findings of the FetReg2021 challenge, alongside reporting a detailed literature review for CAI in TTTS fetoscopy. Through this challenge, its analysis and the release of multi-center fetoscopic data, we provide a benchmark for future research in this field

Placental vessel segmentation and registration in fetoscopy : Literature review and MICCAI FetReg2021 challenge findings

Peer reviewe

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge

Diffusion-weighted MRI (DWI) is essential for stroke diagnosis, treatment decisions, and prognosis. However, image and disease variability hinder the development of generalizable AI algorithms with clinical value. We address this gap by presenting a novel ensemble algorithm derived from the 2022 Ischemic Stroke Lesion Segmentation (ISLES) challenge. ISLES'22 provided 400 patient scans with ischemic stroke from various medical centers, facilitating the development of a wide range of cutting-edge segmentation algorithms by the research community. Through collaboration with leading teams, we combined top-performing algorithms into an ensemble model that overcomes the limitations of individual solutions. Our ensemble model achieved superior ischemic lesion detection and segmentation accuracy on our internal test set compared to individual algorithms. This accuracy generalized well across diverse image and disease variables. Furthermore, the model excelled in extracting clinical biomarkers. Notably, in a Turing-like test, neuroradiologists consistently preferred the algorithm's segmentations over manual expert efforts, highlighting increased comprehensiveness and precision. Validation using a real-world external dataset (N=1686) confirmed the model's generalizability. The algorithm's outputs also demonstrated strong correlations with clinical scores (admission NIHSS and 90-day mRS) on par with or exceeding expert-derived results, underlining its clinical relevance. This study offers two key findings. First, we present an ensemble algorithm (https://github.com/Tabrisrei/ISLES22_Ensemble) that detects and segments ischemic stroke lesions on DWI across diverse scenarios on par with expert (neuro)radiologists. Second, we show the potential for biomedical challenge outputs to extend beyond the challenge's initial objectives, demonstrating their real-world clinical applicability

POLLUTION EXPOSURE INDUCED p53-MEDIATED OXIDATIVE STRESS AND DNA DAMAGE IN BLOOD CELLS OF TILAPIA SP

ABSTRACT The acute effects of pollution environment on fish have been widely studied. However, the molecular mechanism of toxic injury remains largely unknown. In the present study, we examined the cellular responses of Tilapia to pollution exposure-induced oxidative stress. Furthermore, we determined how acute toxic stress activates the p53 signal pathway. We measured the up regulation of reactive oxygen species (ROS) production, the tail DNA values and the malondialdehyde (MDA) level in the blood cells. The results suggest that oxidative stress and DNA damage occurred in tilapia in conditions where the pollution occurs. The parameters measured were related to pollution induced DNA damage, and all parameters changed in the blood cells through time. The effects of heavy metal exposure on the expression of p53 and p21 were investigated in tilapia blood cells. The results showed that toxic stress induced upregulation of p53 and p21 are associated with increasing of DNA damage in blood cells. Therefore, it suggests that pollution exposure-induced oxidative stress may cause DNA damage or apoptosis, and cooperatively activate p53 pathway, which may leads to the activation of p21

Tenogenic differentiation of human embryonic stem cells

Tendon healing is complex to manage because of the limited regeneration capacity of tendon tissue; stem cell-based tissue engineering approaches may provide alternative healing strategies. We sought to determine whether human embryonic stem cells (hESC) could be induced to differentiate into tendon-like cells by the addition of exogenous bone morphogenetic protein (BMP)12 (growth differentiation factor[GDF]7) and BMP13 (GDF6). hESC (SHEF-1) were maintained with or without BMP12/13 supplementation, or supplemented with BMP12/13 and the Smad signaling cascade blocking agent, dorsomorphin. Primary rat tenocytes were included as a positive control in immunocytochemistry analysis. A tenocyte-like elongated morphology was observed in hESC after 40-days continuous supplementation with BMP12/13 and ascorbic acid (AA). These cells displayed a tenomodulin expression pattern and morphology consistent with that of the primary tenocyte control. Analysis of tendon-linked gene transcription in BMP12/13 supplemented hESC demonstrated consistent expression of COL1A2, COL3A1, DCN, TNC, THBS4, and TNMD levels. Conversely, when hESCs were cultured in the presence of BMP12/13 and dorsomorphin COL3A1, DCN, and TNC gene expression and tendon matrix formation were inhibited. Taken together, we have demonstrated that hESCs are responsive to tenogenic induction via BMP12/13 in the presence of AA. The directed in vitro generation of tenocytes from pluripotent stem cells may facilitate the development of novel repair approaches for this difficult to heal tissue

Morphological and Thermal Properties of Poly(Vinyl Alcohol)/Layered Double Hydroxide Hybrid Nanocomposite Fibers

Nanolayered particulate of Zn-based layered double hydroxide (LDH) was prepared by a low temperature greener sol-gel method. X-ray diffraction (XRD) studies were performed on the particles annealed at different temperatures. Hexagonal crystal structure of the as-grown LDH particulates was observed. The crystal structure was modified to tetragonal structure of layered double oxide (LDO) on annealing at 250°C. Rietveld fittings showed a collapse of interlayer separation distance along the preferred orientation of the LDH particles as a result of heat treatment. Further, LDH particles were used as fillers of electrospun poly(vinyl alcohol) (PVA) fibers. Heat treatment of the polymer fibers was also performed at different temperatures, and thermal changes were studied by thermogravimetric analysis (TGA), Raman spectroscopy, and scanning electron microscopy (SEM) techniques. Improved interaction of fibers with LDH nanoparticles was observed and ascribed to LDH-related LDO phase transformation at higher temperature. Thermal mechanisms of the rapid weight loss in filled fibers were discussed in comparison to the pure PVA fiber losses. Experimental Raman frequencies of the composite fibers were compared with the calculated Raman modes of the enol and ZnO monomers. The molecular vibration frequencies were found to differ significantly due to heat treatment. Finally, the role filler in the faster and greener thermal decomposition of polymeric fibers was also discussed in the present work