Miracle-dz/UniFAR-FTUs huggingface dataset:
Beyond the hour of death: Family experiences of grief and bereavement following an end-of-life hospitalization in the intensive care unit

End-of-life decision-making is an important area of research, and few sociological studies have considered family grief in light of end-of-life decision-making in the hospital. Drawing on in-depth interviews with family members in the intensive care unit (ICU) during an end-of-life hospitalization and into their bereavement period up to six months after the death of the patient, this article examines bereaved family members’ experiences of grief by examining three aspects from the end-of-life hospitalization and decision-making in the ICU that informed their subsequent bereavement experiences. First, this article explores how the process of advance care planning (ACP) shaped family experiences of grief, by demonstrating that even prior informal conversations around end-of-life care outside of having an advance directive in the hospital was beneficial for family members both during the hospitalization and afterwards in bereavement. Second, clinicians’ compassionate caring for both patients and families through the “little things” or small gestures were important to families during the end-of-life hospitalization and afterwards in bereavement. Third, the transition time in the hospital before the patient’s death facilitated family experiences of grief by providing a sense of support and meaning in bereavement. The findings have implications for clinicians who provide end-of-life care by highlighting salient aspects from the hospitalization that may shape family grief following the patient’s death. Most importantly, the notion that ACP as a social process may be a “gift” to families during end-of-life decision-making and carry through into bereavement can serve as a motivator to engage patients in ACP.
Application of Liquid-Liquid Extraction for the Determination of Antibiotics in the Foodstuff: Recent Trends and Developments

Abstract Nowadays, the presence of antibiotic residues in foods with animal origin has become an important challenge for public health authorities in many countries. Antibiotic residues are associated with several health problems in the human body such as acute allergic or toxic reactions, chronic toxic effects, and disturption of the natural balance of intestinal microflora as well as the emergence of antimicrobial resistance pathogenic bacteria. In order to determine the trace levels of antibiotics in the foodstuff, the development of rapid, sensitive and accurate analytical methods is necessary. Besides the great advances in the development of analytical instruments in recent years, sample preparation remains a critical step of any analytical procedure. Since food samples have complex and heterogeneous matrices, the sample preparation method can affect the accuracy, precision and overall performance of an analytical technique. Liquid-liquid extraction (LLE) is one of the most commonly used techniques for sample preparation which allows the selective concentration of target analytes in the aqueous samples. The aim of this study was to provide an updated overview of the recent trends and development in LLE techniques over the past 5 years. Different variations of this method such as hollow fiber liquid-phase microextraction, dispersive liquid-liquid microextraction, salting-out LLE, and aqueous two-phase system extraction are given in the present study. This review is focused on recent innovations and modifications in the LLE procedure which try to improve the efficiency and safety of this technique.
A semi-automated finite difference mesh creation method for use with immersed boundary software IB2d and IBAMR

Numerous fluid-structure interaction problems in biology have been investigated using the immersed boundary method. The advantage of this method is that complex geometries, e.g., internal or external morphology, can easily be handled without the need to generate matching grids for both the fluid and the structure. Consequently, the difficulty of modeling the structure lies often in discretizing the boundary of the complex geometry (morphology). Both commercial and open source mesh generators for finite element methods have long been established; however, the traditional immersed boundary method is based on a finite difference discretization of the structure. Here we present a software library for obtaining finite difference discretizations of boundaries for direct use in the 2D immersed boundary method. This library provides tools for extracting such boundaries as discrete mesh points from digital images. We give several examples of how the method can be applied that include passing flow through the veins of insect wings, within lymphatic capillaries, and around starfish using open-source immersed boundary software.
A Study of Inferential Feedback as an Outcome Measure in Treatment Resistant Depression

20% of patients with depression do not respond satisfactorily to medications. Studying clinical variables can help identify predictors of outcome in these patients. To study inferential feedback provided by caregivers and perceived by patients with depression. To compare the inferential feedback provided by caregivers and perceived by cases with that of controls. 30 patients with treatment resistant depression attending the Psychiatry OPD were selected as cases and were matched with 30 non-resistant controls. They were assessed using semi- structured questionnaire for socio demographic data, Hamilton depression rating scale, DSM IV TR criteria and Adaptive inferential feedback questionnaire. Cases perceived and received lower adaptive inferential feedback as compared to controls. And it was negatively associated with HDRS scores. People with treatment resistant depression perceived as well as received more maladaptive inferential feedback from their caregivers. And Adaptive inferential feedback was negatively associated with the severity of depression.
Magnetic Control of a Flexible Needle in Neurosurgery

Minimally invasive neurosurgery does not require large incisions and openings in the skull to access the desired brain region, which often results in a faster recovery with fewer complications than traditional open neurosurgery. For disorders treated by the implantation of neurostimulators and thermocoagulation probes, current procedures incorporate a straight rigid needle, which restricts surgical trajectories and limits the number of possible targets and degrees of freedom at the respective target. A steerable needle with a flexible body could overcome these limitations. In this paper, we present a flexible needle steering system with magnetic and fluoroscopic guidance for neurosurgical procedures. A permanent magnet at the proximal end of a flexible needle is steered by an external magnetic field, and the resultant tip-deflection angle bends the flexible body like a bevel-tip needle. We implemented a kinematic model for the magnetic needle derived from a nonholonomic bicycle model and a closed-loop control strategy with feed-forward and feed-back components using a chained-form transformation. The proposed needle steering method was investigated through in vitro and ex vivo experiments.
Early life risk and resiliency factors and their influences on developmental outcomes and disease pathways: a rapid evidence review of systematic reviews and meta-analyses

Abstract The Developmental Origins of Health and Disease (DOHaD) framework aims to understand how environmental exposures in early life shape lifecycle health. Our understanding and the ability to prevent poor health outcomes and enrich for resiliency remain limited, in part, because exposure–outcome relationships are complex and poorly defined. We, therefore, aimed to determine the major DOHaD risk and resilience factors. A systematic approach with a 3-level screening process was used to conduct our Rapid Evidence Review following the established guidelines. Scientific databases using DOHaD-related keywords were searched to capture articles between January 1, 2009 and April 19, 2019. A final total of 56 systematic reviews/meta-analyses were obtained. Studies were categorized into domains based on primary exposures and outcomes investigated. Primary summary statistics and extracted data from the studies are presented in Graphical Overview for Evidence Reviews diagrams. There was substantial heterogeneity within and between studies. While global trends showed an increase in DOHaD publications over the last decade, the majority of data reported were from high-income countries. Articles were categorized under six exposure domains: Early Life Nutrition, Maternal/Paternal Health, Maternal/Paternal Psychological Exposure, Toxicants/Environment, Social Determinants, and Others. Studies examining social determinants of health and paternal influences were underrepresented. Only 23% of the articles explored resiliency factors. We synthesized major evidence on relationships between early life exposures and developmental and health outcomes, identifying risk and resiliency factors that influence later life health. Our findings provide insight into important trends and gaps in knowledge within many exposures and outcome domains.
Speech Technology for Healthcare: Opportunities, Challenges, and State of the Art

Speech technology is not appropriately explored even though modern advances in speech technology—especially those driven by deep learning (DL) technology—offer unprecedented opportunities for transforming the healthcare industry. In this paper, we have focused on the enormous potential of speech technology for revolutionising the healthcare domain. More specifically, we review the state-of-the-art approaches in automatic speech recognition (ASR), speech synthesis or text to speech (TTS), and health detection and monitoring using speech signals. We also present a comprehensive overview of various challenges hindering the growth of speech-based services in healthcare. To make speech-based healthcare solutions more prevalent, we discuss open issues and suggest some possible research directions aimed at fully leveraging the advantages of other technologies for making speech-based healthcare solutions more effective.
Modeling SHH-driven medulloblastoma with patient iPS cell-derived neural stem cells

Significance Here we describe and utilize a model of medulloblastoma, a malignancy accounting for 20% of all childhood brain cancers. We used iPS-derived neural stem cells with a familial mutation causing aberrant SHH signaling. We show that these cells, when transplanted into mouse cerebellum, form tumors that mimics SHH-driven medulloblastoma, demonstrating the development of cancer from healthy neural stem cells in vivo. Our results show that reprogramming of somatic cells carrying familial cancer mutations can be used to model the initiation and progression of childhood cancer. Medulloblastoma is the most common malignant brain tumor in children. Here we describe a medulloblastoma model using Induced pluripotent stem (iPS) cell-derived human neuroepithelial stem (NES) cells generated from a Gorlin syndrome patient carrying a germline mutation in the sonic hedgehog (SHH) receptor PTCH1. We found that Gorlin NES cells formed tumors in mouse cerebellum mimicking human medulloblastoma. Retransplantation of tumor-isolated NES (tNES) cells resulted in accelerated tumor formation, cells with reduced growth factor dependency, enhanced neurosphere formation in vitro, and increased sensitivity to Vismodegib. Using our model, we identified LGALS1 to be a GLI target gene that is up-regulated in both Gorlin tNES cells and SHH-subgroup of medulloblastoma patients. Taken together, we demonstrate that NES cells derived from Gorlin patients can be used as a resource to model medulloblastoma initiation and progression and to identify putative targets.
Acceptability and feasibility study of a six-week person-centred, therapeutic visual art intervention for people with dementia

ABSTRACT Background There has been increasing interest in dementia, the arts and creativity across different disciplines in recent years, with previous literature illustrating the benefits of visual arts for people with dementia. Method A mixed-methods, quasi-experimental, pre/post design to assess the feasibility, acceptability and preliminary efficacy of a newly developed therapeutic, person-centred visual art intervention for people with dementia attending a day care centre or residing in an assisted living facility. Results Five themes were identified from the interviews. Two themes reflected the feasibility/acceptability and the perceived impacts of the intervention, and three themes represented perceived successful elements: participant choice, socialisation and mentally stimulating activities. The quantitative data tentatively indicated enhanced social functioning and quality of life scores post-intervention. Conclusion These findings indicate that engagement with visual art is effective for people with dementia, and taking into account the factors that impact on feasibility and acceptability will promote future robust evaluation.
Impact of a pine lappet (Dendrolimus pini) mass outbreak on C and N fluxes to the forest floor and soil microbial properties in a Scots pine forest in Germany

Herbivorous insect infestations significantly alter element and nutrient cycling in forests, thus directly and indirectly affecting ecosystem functioning. In this paper, we report on the herbivore-mediated transfer of carbon (C) and nitrogen (N) from the canopy to the forest floor and its influence on soil microbial activity during a pine lappet (Dendrolimus pini L.) infestation. Over the course of 6 months, we followed C and N fluxes in bulk deposition, throughfall, and green fall (green needle debris dropped during herbivory) together with solid frass (insect faeces) in an 80-year-old Scots pine (Pinus silvestris L.) forest. Compared with the control, herbivore defoliation significantly doubled throughfall inputs of total and dissolved organic C and N over the study period. Frass plus green-fall C and N fluxes peaked in June–July at 110 kg C·ha–1 and 2.3 kg N·ha–1, respectively. Randomized intervention analysis revealed no significant effects of herbivory on soil microbial properties, except for adenyla.
Analysis of the Characteristics and Cytotoxicity of Titanium Dioxide Nanomaterials Following Simulated In Vitro Digestion

Several metallic nanomaterials (NMs), such as titanium dioxide nanomaterials (TiO2), present beneficial properties with a broad range of innovative applications. The human population is exposed to TiO2, particularly by ingestion, due to its increasing use as a food additive and inclusion in dietary supplements and food packaging materials. Whether this oral exposure may lead to adverse local or systemic outcomes has been the subject of research, but studies have generated contradictory results, reflecting differences in the physicochemical properties of the TiO2 studied, effects of the surrounding matrix, and modifications during digestion. This work aimed to investigate the toxic effects of three different TiO2 NMs (NM-103, NM-103 and NM-105) on the gastrointestinal tract cells, Caco-2 and HT29-MTX-E12, after the use of the standardized static INFOGEST 2.0 in vitro digestion method to mimic human digestion of TiO2, contributing to hazard assessment. The results show that, for one of the digested TiO2 NMs studied (NM-105), a more pronounced toxicity occurs after exposure of HT29-MTX-E12 intestinal cells, as compared to undigested NM, concomitantly with subtle changes in characteristics of the NM. Thus, the inclusion of the digestion simulation in the safety evaluation of ingested NMs through in vitro bioassays can better integrate the modifications that NMs suffer in the organism. It is expected that such an approach will reduce uncertainties in the hazard assessment of ingested NMs for human health.
Rab5a Promotes Cytolethal Distending Toxin B-Induced Cytotoxicity and Inflammation

The cytolethal distending toxin B subunit (CdtB) induces significant cytotoxicity and inflammation in many cell types that are involved in the pathogenesis of postinfectious irritable bowel syndrome (PI-IBS). However, the underlying mechanisms remain unclear. This study tested the potential role of Rab small GTPase 5a (Rab5a) in the process. We tested mRNA and protein expression of proinflammatory cytokines (interleukin-1β [IL-1β] and IL-6) in THP-1 macrophages by quantitative PCR (qPCR) and enzyme-linked immunosorbent assays (ELISAs), respectively. ABSTRACT The cytolethal distending toxin B subunit (CdtB) induces significant cytotoxicity and inflammation in many cell types that are involved in the pathogenesis of postinfectious irritable bowel syndrome (PI-IBS). However, the underlying mechanisms remain unclear. This study tested the potential role of Rab small GTPase 5a (Rab5a) in the process. We tested mRNA and protein expression of proinflammatory cytokines (interleukin-1β [IL-1β] and IL-6) in THP-1 macrophages by quantitative PCR (qPCR) and enzyme-linked immunosorbent assays (ELISAs), respectively. In the primary colonic epithelial cells, Cdt treatment induced a CdtB-Rab5a-cellugyrin association. Rab5a silencing, by target small hairpin RNAs (shRNAs), largely inhibited CdtB-induced cytotoxicity and apoptosis in colon epithelial cells. CRISPR/Cas9-mediated Rab5a knockout also attenuated CdtB-induced colon epithelial cell death. Conversely, forced overexpression of Rab5a intensified CdtB-induced cytotoxicity. In THP-1 human macrophages, Rab5a shRNA or knockout significantly inhibited CdtB-induced mRNA expression and production of proinflammatory cytokines (IL-1β and IL-6). Rab5a depletion inhibited activation of nuclear factor-κB (NF-κB) and Jun N-terminal protein kinase (JNK) signaling in CdtB-treated THP-1 macrophages. Rab5a appears essential for CdtB-induced cytotoxicity in colonic epithelial cells and proinflammatory responses in THP-1 macrophages.
Training load quantification of high intensity exercises: Discrepancies between original and alternative methods

The purpose of this study was to quantify training loads (TL) of high intensity sessions through original methods (TRIMP; session-RPE; Work-Endurance-Recovery) and their updated alternatives (TRIMPcumulative; RPEalone; New-WER). Ten endurance athletes were requested to perform five sessions until exhaustion. Session 1 composed by a 800m maximal performance and four intermittent sessions performed at the 800m velocity, three sessions with 400m of interval length and work:recovery ratios of 2:1, 1:1 and 1:2 and one with 200m intervals and 1:1. Total TL were quantified from the sessions’ beginning to the cool-down period and an intermediate TL (TL800) was calculated when 800m running was accumulated within the sessions. At the end of the sessions high and similar RPE were reported (effect size, η2 = 0.12), while, at the intermediate 800m distance, the higher interval distances and work:recovery ratios the higher the RPE (η2 = 0.88). Our results show marked differences in sessions’ total TL between original (e.g., lowest TL for the 800m and highest for the 200m-1:1 sessions) and alternative methods (RPEalone and New-WER; similar TL for each session). Differences appear in TL800 notably between TRIMP and other methods which are negatively correlated. All TL report light to moderate correlations between original methods and their alternatives, original methods are strongly correlated together, as observed for alternative methods. Differences in TL quantification between original and alternative methods underline that they are not interchangeable. Because of high exercise volume influence, original methods markedly enhance TL of sessions with higher exercise volumes although these presented the easiest interval distances and work-recovery ratios. Alternative methods based on exhaustion level (New-WER) and exertion (RPEalone) provided a new and promising point of view of TL quantification where exhaustion determines the highest TL whatever the exercise. This remains to be tested with more extended populations submitted to wider ranges of exercises.
Performing ‘the authoritative account’: How the BBC’s Horizon produces epistemic authority

Viewers have often looked upon the BBC’s science documentary strand, Horizon, as an authoritative source for scientific knowledge. Through interviews with the series’ producers, this article examines the practices its producers perform to buttress their authority and generate the view that this show is itself a producer of knowledge, even while it is also televising and mediating science. Of particular note are references to science fiction to police boundaries between science and pseudoscience, and the use of original experimental trials to generate witnesses. These position Horizon as at least a node in the network of scientific knowledge production.
Downstream processing strategies for the lignin-first biorefinery.

The lignin-first strategy has emerged as one of the most powerful approaches for generating novel platform chemicals from lignin via the efficient depolymerization of native lignin. Because of the emergence of this novel depolymerization method and the definition of viable platform chemicals, future focus will soon shift toward innovative downstream processing strategies. Very recently, many interesting approaches emerged that describe the production of valuable products across the whole value chain, ranging from bulk and fine chemical building blocks and several concrete examples have been developed for the production of polymers, pharmaceutically relevant compounds or fuels. In this review we are going to summarize these recent advances. After a short summary of catalytic systems for obtaining several aromatic monomers, a comprehensive discussion on their separation and applications is given. This review will fill the gap in biorefinery between deriving high yield lignin monomers and tapping into their potential for making valuable consumer products.
A bypass-based low latency network-on-chip router

As the most critical components of Network on chip (NoC), the routers need to select suitable output ports and guarantee every flit accesses the hardware resource exclusively. Thus they are normally designed with several pipelines. However, most flits don't compete for the same output port with other flits in real applications. In this work, we introduce a bypass path to the traditional router thus the non-conflict flits can be forwarded directly. Combined with several other optimizations, we propose a bypass-based low latency NoC router (BNR). When no congestion occurs, BNR can transfer the flit through the bypass path with only one cycle. Otherwise, the flits are transferred through the conventional path with two hops. Besides, we also present a simplified version, BNR-S. Compared with BNR, it only bypasses the short packets and will reduce the area overhead significantly. For the synthetic traffic with different injection rate, BNR achieves 1.48x and 1.31x speedup than the two baselines while BNR-S achieves 1.3x and 1.15x. They also bring obvious benefits for several real applications. In addition, the experiments also illustrate that the proposed bypass mechanism can reduce dynamic power.