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In this study, a new hybridized machine learning algorithm for urban flood susceptibility mapping, named MultiB-MLPNN, was developed using a multi-boosting technique and MLPNN. The model was tested in Amol City, Iran, a data-scarce city in an ungauged area which is prone to severe flood inundation events and currently lacks flood prevention infrastructure. Performance of the hybridized model was c
Solar radiation plays a pivotal role in the energy balance at the Earth's surface, evaporation, snow melting, water requirements of plants, and hydrological control of catchments. In this work, performance of ERA-Interim (a reanalysis dataset) was examined to estimate solar radiation at Ahvaz, BandarAbbas, and Kermanshah weather stations representing the even spatial distribution over Iran using e
BackgroundThe efficacy of technology-delivered cognitive-behavioral therapy (tCBT) for pediatric anxiety disorders (ADs) is uncertain as no meta-analysis has examined outcomes in trials that used structured diagnostic assessments at pre- and posttreatment.MethodsWe carried out a systematic review and meta-analysis of randomized controlled trials (RCTs) of tCBT for pediatric ADs that included parti
BACKGROUND: Radiostereometric analysis (RSA) is a highly accurate tool to detect implant migration and predict loosening following total knee arthroplasty (TKA). However, little is known about the predisposing risk factors for implant migration, nor which migration profile should be considered physiological (i.e., merely part of an implant-settling phase) and which should be considered pathologica
Reactive settling denotes the process of sedimentation of small solid particles dispersed in a viscous fluid with simultaneous reactions between the components that constitute the solid and liquid phases. This process is of particular importance for the simulation and control of secondary settling tanks (SSTs) in water resource recovery facilities (WRRFs), formerly known as wastewater treatment pl
Machine Learning (ML) is a fundamental part of modern perception systems. In the last decade, the performance of computer vision using trained deep neural networks has outperformed previous approaches based on careful feature engineering. However, the opaqueness of large ML models is a substantial impediment for critical applications such as in the automotive context. As a remedy, Gradient-weighte
Objective: The aim of this integrative review was to identify facilitators and barriers to patients’ well-being when being cared for in an ICU setting, from the perspective of the patients. Background: To become critically ill and hospitalised in an ICU is a stressful, chaotic event due to the life-threatening condition itself, as well as therapeutic treatments and the environment. A growing body
Previous studies have found an association between excessive worrying and negative beliefs about worry. It is unclear if change in these beliefs mediate worry reduction. This study aimed to examine (1) if a simplified online metacognitive intervention can reduce worry, (2) whether changes in negative beliefs about worry mediate changes in worry severity, and (3) moderated mediation, i.e., if the m
Three-dimensional (3D) neural tissue cultures recapitulate the basic concepts during development and disease better than what can be obtained using conventional two-dimensional cultures. Here, we use a recombinant spider silk protein functionalized with a cell binding motif from fibronectin (FN-silk) in combination with a human recombinant laminin 521 (LN-521) to create a fully defined stem cell n
A novel kind of Z-scheme ternary heterojunctions phosphate-doped BiVO4/graphene quantum dots/P-doped g-C3N4 (BVP/GQDs/PCN) were fabricated for the visible light degradation of norfloxacin (NOR), a typical antibiotic. Compared with binary type-II heterojunction phosphate-doped BiVO4/PCN (BVP/PCN), Z-scheme BVP/GQDs/PCN exhibited promoted interfacial charge transfer efficiency and broadened visible
Hemoglobin-based oxygen carriers have long been pursued to meet clinical needs by using native hemoglobin (Hb) from human or animal blood, or recombinantly produced Hb, but the development has been impeded by safety and toxicity issues. Herewith we report the successful production of human fetal hemoglobin (HbF) in Nicotiana benthamiana through Agrobacterium tumefaciens-mediated transient expressi
Background: Long-term follow-up (LTFU) care for childhood, adolescent, and young adult (CAYA) cancer survivors is essential to preserve health and quality of life (QoL). Evidence-based guidelines are needed to inform optimal surveillance strategies, but many topics are yet to be addressed by the International Late Effects of Childhood Cancer Guideline Harmonization Group (IGHG). Therefore, the Pan
Assessing the optimal placement and design of a large‐scale high temperature energy storage system in crystalline bedrock is a challenging task. This study applies and evaluates various methods and strategies for pre‐site investigation for a potential high temperature borehole thermal energy storage (HT‐BTES) system at Linköping in Sweden. The storage is required to shift approximately 70 GWh of e
A considerable portion of government health-care spending is allocated to the continuous monitoring of patients suffering from cardiovascular diseases, particularly myocardial infarction (MI). Wearable devices present a cost-effective means of monitoring patients' vital signs in ambulatory settings. A major challenge is to design such ultra-low energy devices for long-Term patient monitoring. In t
Introduction: There is an ongoing digital revolution in the field of Parkinson's disease (PD) for the objective measurement of motor aspects, to be used in clinical trials and possibly support therapeutic choices. The focus of remote technologies is now also slowly shifting towards the broad but more “hidden” spectrum of non-motor symptoms (NMS). Methods: A narrative review of digital health techn
Selenium is in many ways an enigmatic element. It is essential for health but toxic in excess, with the difference between the two doses being narrower than for any other element. Environmentally, selenium is of concern due to its toxicity. As the rarest of the essential elements, its low levels often provide challenges to the analytical chemist. X-ray absorption spectroscopy (XAS) provides a powe
Understanding the origins of biodiversity has been an aspiration since the days of early naturalists. The immense complexity of ecological, evolutionary, and spatial processes, however, has made this goal elusive to this day. Computer models serve progress in many scientific fields, but in the fields of macroecology and macroevolution, eco-evolutionary models are comparatively less developed. We p
Do radical right parties present blurry economic stances, or have they clarified their positions while moving towards the economic left? This article questions the strategic behaviour of radical right parties in Western Europe. It shows that although radical right parties have increased their discussion of economic issues, and expert placements of this party family on the economic dimension have b
