Miracle-dz/UniFAR-FTUs huggingface dataset:
Hourly historical and near-future weather and climate variables for energy system modelling

Abstract. Energy systems are becoming increasingly exposed to the impacts of weather and climate due to the uptake of renewable generation and the electrification of the heat and transport sectors. The need for high-quality meteorological data to manage present and near-future risks is urgent. This paper provides a comprehensive set of multi-decadal, time series of hourly meteorological variables and weather-dependent power systems components for use in the energy systems modelling community. Despite the growing interest in the impacts of climate variability and climate change on energy systems over the last decade, it remains rare for multi-decadal simulations of meteorological data to be used within detailed simulations. This is partly due to computational constraints, but also due to technical barriers limiting the use of meteorological data by non-specialists. This paper presents a new European level dataset which can be used to investigate the impacts of climate variability and climate change on multiple aspects of near-future energy systems. The datasets correspond to a suite of well-documented, easy-to-use, self-consistent hourly- nationally-aggregated and sub-national time series for 2 m temperature, 10 m wind speed, 100 m wind speed, surface solar irradiance, wind power capacity factor, solar power factor and degree days spanning over 30 European countries. This dataset is available for the historical period (1950–2020), and is accessible from https://researchdata.reading. ac.uk/id/eprint/321 with reserved DOI: http://dx.doi. org/10.17864/1947.000321 (Bloomfield and Brayshaw, 2021b). As well as this a companion dataset is created where the ERA5 reanalysis is adjusted to represent the impacts of near-term climate change (centred on the year 2035) based on five high resolution climate model simulations. This data is available for a 70 year period for central and Northern Europe. The data is accessible from https://researchdata.reading. ac.uk/id/eprint/331 with reserved DOI: http://dx.doi. org/10.17864/1947.000331 (Bloomfield and Brayshaw, 2021a). To the authors’ knowledge, this is the first time a comprehensive set of high quality hourly time series relating to future climate projections has been published, which is specifically designed to support the energy sector. The purpose of this paper is to detail the methods required for processing the climate model data and illustrate the importance of accounting for climate variability and climate change within energy system modelling from sub-national to European scale. While this study is therefore not intended to be an exhaustive analysis of climate impacts, it is hoped that publishing this data will promote greater use of climate data within energy system modelling.
3D Echo Characterization of Proportionate and Disproportionate Functional Mitral Regurgitation before and after Percutaneous Mitral Valve Repair

Background: The impact of percutaneous mitral valve repair (PMVr) on long-term prognosis in patients with functional mitral regurgitation (FMR) is still unclear. Recently, a new conceptual framework classifying FMR as proportionate (P-MR) and disproportionate (D-MR) was proposed, according to the effective regurgitant orifice area/left ventricular end-diastolic volume (EROA/LVEDV) ratio. The aim was to assess its possible influence on PMVr efficacy. Methods: A total of 56 patients were enrolled. MV annulus, LV volumes and function were assessed. Global longitudinal strain (GLS) was also calculated. Patients were divided into two groups, according to the EROA/LVEDV ratio. Echocardiographic follow-up was performed after 6 months, and adverse events were collected after 12 months. Results: D-MR patients (n = 28, 50%) had a significantly more elliptical MV annulus (p = 0.048), lower tenting volume (p = 0.01), higher LV ejection fraction (LVEF: 32 ± 7 vs. 26 ± 5%, p = 0.003), lower LVEDV, LV end-systolic volume (LVESV) and mass (LVEDV/i: 80 ± 20 vs. 126 ± 27 mL, p = 0.001; LVESV/i: 60 ± 20 vs. 94 ± 23 mL, p < 0.001; LV mass: 249 ± 63 vs. 301 ± 69 gr, p = 0.035). GLS was more impaired in P-MR (p = 0.048). After 6 months, P-MR patients showed a higher rate of MR recurrence. After 12 months, the rate of CV death and rehospitalization due to HF was significantly higher in P-MR patients (46% vs. 7%, p < 0.001). P-MR status was strongly associated with CV death/rehospitalization (HR = 3.4, CI 95% = 1.3–8.6, p = 0.009). Conclusions: Patients with P-MR seem to have worse outcomes after PVMr than D-MR patients. Our study confirms the importance of the EROA/LVEDV ratio in defining different subsets of FMR based on the anatomical characteristic of MV and LV.
Does Public-Loan Management Matter for Sustainable Finance and Operation Risk?

Previous research indicates that small-loan financing is a highly complex process, particularly when public sources provide financial support. This study applies propensity score matching to improve the effectiveness of closer inspection systems. Specifically, it compares before and after implementing propensity score matching (PSM) in terms of closer inspection and operational risk. It also examines similarities and differences among individuals’ demographics regarding the default rate of small business loans. Data pertaining to 589,648 Sunshine Loan debtors are utilized to address the research questions. Results indicate that the default rate with closer inspection is 5.5% lower than without closer inspection. Furthermore, the default rate with operational risk is dramatically lower (15.4%) than that without operational risk. The PSM approach presented here thus illuminates opportunities and challenges in three strategic areas: (1) management of public funds, (2) effectiveness of both closer inspection and operational risk, and (3) risk management for individual borrower types.
Physical Performance, Cardiovascular Health and Psychosocial Wellbeing in Older Adults Compared to Oldest-Old Residential Seniors

Background: This study analyzed physical, cardiovascular, and psychosocial health in different age groups at the far end of the lifespan. Methods: Sixty-two residential seniors participated in this cross-sectional study and were assigned according to age to either the older adults (n = 27; age: 74.8 (3.6); f: 23) or the oldest-old group (n = 35; age: 87.2 (5.0); f: 28). Gait speed, functional mobility, handgrip strength, and pulse wave velocity (PWV) were measured. Additionally, questionnaires to assess quality of life were applied. Mean between-group differences (Δ) and Hedge’s g with 95 % confidence intervals were calculated. Results: Oldest-old had moderately lower handgrip strength (Δ = −31.3 N, 95% CI [−66.30; −1.65], Hedge’s g = 0.49 [−0.97; 0.03]) and relevant lower gait speed than the older adults (Δ = −0.11 m/s [−0.28; 0.05], g = 0.34 [−0.89; 0.20]). All other physical parameters showed trivial differences. Very large effects were found in PWV in favor of the older adults (Δ = −2.65 m/s [−3.26; −2.04], g = −2.14 [−2.81; −1.36]). The questionnaires showed trivial to small differences. Conclusion: We found small differences in physical as well as psychosocial health between age groups with large inter-individual variance. Large differences were found in arterial stiffness, which increases with age. Exercise programs in nursing homes should consider physical, psychosocial, and cardiovascular variables more than age.
Robust estimation for partial linear single-index models

In this article, minimum average variance estimation (MAVE) based on local modal regression is proposed for partial linear single-index models, which can be robust to different error distributions or outliers. Asymptotic distributions of the proposed estimators are derived, which have the same convergence rate as the original MAVE based on least squares. A modal EM algorithm is provided to implement our robust estimation. Both simulation studies and a real data example are used to evaluate the finite sample performance of the proposed estimation procedure.
An efficient parallel method to compute lithostatic pressure in thermo-mechanical geodynamic models

Abstract. Modelling the lithostatic pressure in the Earth's interior is a common problem in Earth sciences. In this study we propose to compute the lithostatic pressure from the conservation of momentum reduced to the hydrostatic particular case. It results a partial differential equation that can be solved using the classical numerical methods. To show the usefulness of solving a PDE to compute the lithostatic pressure we propose two 2D models, one with a deformed mesh and one with a radial gravity acceleration vector and a concentric density distribution. Moreover, we also present a 3D rift model using the lithostatic pressure as a boundary condition. This model shows a high non cylindricity resulting from the Neumann boundary condition that is accomodated by strike-slip shear zones. We compare the result of this numerical model with a simple free-slip boundary conditions model to demonstrate the first order implications of considering "open" boundary conditions in 3D thermo-mechanical models.
Extension of the PRISMA 2020 statement for living systematic reviews (LSRs): protocol

Background: While the PRISMA 2020 statement is intended to guide the reporting of original systematic reviews, updated systematic reviews, and living systematic reviews (LSRs), its explanation and elaboration document notes that additional considerations for updated systematic reviews and LSRs may need to be addressed. This paper reports the protocol for developing an extension of the PRISMA 2020 statement for LSRs. Methods: We will follow the EQUATOR Network’s guidance for developing health research reporting guidelines. We will review the literature to identify possible items of the PRISMA 2020 checklist that need modification, as well as new items that need to be added. Then, we will survey representatives of different stakeholder groups for their views on the proposed modifications of the PRISMA 2020 checklist. We will summarize, present, and discuss the results of the survey in an online meeting, aiming to reach consensus on the content of the LSR extension. We will then draft the checklist, explanation and elaboration for each item, and flow diagram for the PRISMA 2020 extension. Then, we will share these initial documents with stakeholder representatives for final feedback and approval. Discussion: We anticipate that the PRISMA 2020 extension for LSRs will benefit LSR authors, editors, and peer reviewers of LSRs, as well as different users of LSRs, including guideline developers, policy makers, healthcare providers, patients, and other stakeholders.
Effect of Dual-Task Motor-Cognitive Training in Preventing Falls in Vulnerable Elderly Cerebrovascular Patients: A Pilot Study

Falling is a frequent and major clinical problem among older adults, as well as in patients with chronic cerebrovascular diseases (CVD). At present, sequential (mixed) and simultaneously (dual-task) motor-cognitive trainings are the best approaches to affording patients more autonomy in their everyday motor independence while reducing fall risks and consequences. The objective of this study was to evaluate the efficacy of an advanced and innovative dual-task motor-cognitive rehabilitation program on fall risks in vulnerable older persons with chronic CVD. To this purpose, 26 consecutive older fallers with chronic CVD were recruited, and completed a mixed motor-cognitive or a dual-task motor-cognitive training program. Each patient also underwent two test evaluations to assess balance, gait, fear of falling, and walking performance at pre-and post-intervention. We found that our experimental motor-cognitive dual-task rehabilitation program could be an effective method to improve walking balance, gait, walking speed, and fear of falling, while reducing the risk of falls in older people with chronic CVD. Furthermore, results show that the simultaneous motor-cognitive training is more effective than the sequential motor-cognitive training. Therefore, our study brings innovative data, which can contribute positively to the management of this population.
Determination of Internal Heat Power during the Induction Heating Based on Solution of Linear Inverse Heat Conduction Problem

In this paper an inverse heat conduction problem for estimating the constant value of power of internal heat source during induction heating of paramagnetic material is developed. The experimentally measured temperature data are used as the input for the inverse heat transfer model. The problem is formulated as a problem of optimal control over an object with distributed parameters, the internal heat power is considered as the control action. The problem is reduced to a problem of mathematical programming; the special optimisation method based on the alternance properties of the sought optimum solutions is applied to estimate the internal heat power.
The complete mitochondrial genome of the edible mushroom Grifola frondosa

Abstract The culinary-medicinal mushroom Grifola frondosa is widely cultivated in East Asia. In this study, the complete mitochondrial genome of G. frondosa was determined using Illumina sequencing. The circular molecule was 197,486 bp in length with a content of 25.01% GC, which was one of the largest mitochondrial genomes in the order Polyporales. A total of 39 known genes encoding 13 common mitochondrial genes, 24 tRNA genes, 1 ribosomal protein s3 gene (rps3), and 1 DNA polymerase gene (dpo) were predicted in this genome. The phylogenetic analysis showed that G. frondosa clustered together with Sparassis crispa, Laetiporus sulphureus, Wolfiporia cocos, and Taiwanofungus camphoratus. The complete mitochondrial genome reported here may provide new insight into genetic information and evolution for further studies.
Glideslope Guidance Algorithm for Close Range Rendezvous of Spacecraft

The multi-impulse glideslope guidance algorithm for close range rendezvous of spacecraft is presented.The algorithm takes the fuel economy and the constraints of field-of-view of navigation facilities,the minimum interval of impulses,and the maximum value of impulse into consideration.Furthermore,a consolidated model of glideslope algorithm to guide close range rendezvous(both proximity and departure) is described.By designing the relationship of exponential function between distance and speed of ideal rendezvous trajectory,the algorithm can be applied to any specified rendezvous time,and satisfies the need of decelerating during the proximity operation and accelerating during the departure operation.By defining the logarithmic mapping function,the optimized impulses can be obtained.Finally,several scenarios of the proximity and departure operations are simulated.In some scenarios,compared with the optimization method,the using of logarithmic mapping function can also economize fuel at a cost of low computational complexity.The other scenarios illustrate that the guidance algorithm can ensure a close range rendezvous motion in any direction,at any time with the fuel economy and under the constraints as well.
Bridging the gap: why, how and when HR analytics can impact organizational performance

PurposeDespite the growth and adoption of human resource (HR) analytics, it remains unknown whether HR analytics can impact organizational performance. As such, this study aims to address this important issue by understanding why, how and when HR analytics leads to increased organizational performance and uncover the mechanisms through which this increased performance occurs.Design/methodology/approachUsing data collected from 155 Irish organizations, structural equation modeling was performed to test the chain mediation model linking HR technology, HR analytics, evidence-based management (EBM) and organizational performance.FindingsThe study's findings support the proposed chain model, suggesting that access to HR technology enables HR analytics which facilitates EBM, which in turn enhances organizational performance.Originality/valueThis research contributes significantly to the HR analytics and EBM literature. First, the study extends our understanding of why and how HR analytics leads to higher organizational performance. Second, the authors identify that access to HR technology enables and is an antecedent of HR analytics. Finally, empirical evidence is offered to support EBM and its impact on organizational performance.
Bacteriophages in the Control of Aeromonas sp. in Aquaculture Systems: An Integrative View

Aeromonas species often cause disease in farmed fish and are responsible for causing significant economic losses worldwide. Although vaccination is the ideal method to prevent infectious diseases, there are still very few vaccines commercially available in the aquaculture field. Currently, aquaculture production relies heavily on antibiotics, contributing to the global issue of the emergence of antimicrobial-resistant bacteria and resistance genes. Therefore, it is essential to develop effective alternatives to antibiotics to reduce their use in aquaculture systems. Bacteriophage (or phage) therapy is a promising approach to control pathogenic bacteria in farmed fish that requires a heavy understanding of certain factors such as the selection of phages, the multiplicity of infection that produces the best bacterial inactivation, bacterial resistance, safety, the host’s immune response, administration route, phage stability and influence. This review focuses on the need to advance phage therapy research in aquaculture, its efficiency as an antimicrobial strategy and the critical aspects to successfully apply this therapy to control Aeromonas infection in fish.
Anxiety, depression and post-traumatic stress symptoms among injury patients and the association with outcome after injury

ABSTRACT Background Injury patients are at risk for mental health problems, which could result in slower recovery and affect health-related quality of life (HRQoL), health care utilization, and return to work (RTW). Objective In this study, we determined the prevalence of symptoms indicative of probable depression, anxiety, and post-traumatic stress disorder (PTSD) and their association with HRQoL, health care utilization, and RTW in adult injury patients. Method Data on unintentional injuries in adult patients were retrieved from the Dutch Injury Surveillance System (DISS) and a six-month follow-up questionnaire that included the Hospital Anxiety and Depression Scale (HADS) and Impact of Event Scale-Revised (IES-R) to assess depression, anxiety, and posttraumatic stress disorder (PTSD) symptoms, and items on HRQoL (measured with the EQ-5D-5 L and EQ visual analogue scale), health care utilization and RTW. Logistic regression analyses assessed the association between depression, anxiety, and PTSD and HRQoL, health care utilization, and RTW. Results At six months post-injury, 22% (n = 665/3060) of included patients had scores indicative of probable anxiety disorder (14%), depression (16%), and/or PTSD (6%). These patients had reduced EQ-5D utility scores [β: −0.26 (95% CI: −0.28, −0.23)] and were less likely to RTW [OR: 2.12 (95% CI: 1.34, 3.37)] compared to their counterparts. Both mental and physical health care utilization were significantly higher in patients with symptoms indicative of depression, anxiety, and/or PTSD. Conclusions In injury patients, there is a high occurrence of depression, anxiety, and PTSD symptoms, which is associated with lower HRQoL, higher health care utilization, and lower RTW rates. These results underline the importance of screening and treatment of these symptoms in this population to enhance good recovery of injury patients. HIGHLIGHTS Our results highlight the importance of mental health support in the injury patient population, the necessity of a multidimensional rehabilitation process, and the need to focus on multiple mental health disorders, in research and clinical settings.
Signal Analysis of Scratch-Detection on Magnetic Disc by Using Light Reflection Approach

In hard disk manufacturing, a process of quality inspection of magnetic disc is crucially focused on finding traces of scratch that occur on the surface by various sources such as production process, machinery, tribology or recording head. It may affect the efficiency of magnetic disc’s read/write ability. Many approaches have been proposed to detect the scratch by either destructive or non-destructive testing. In this study, it shows an analysis of signals from the detected scratches on the magnetic disc by reflection light method, using a CD pick-up head. It works by producing an incidental laser beam to the surface and then detecting it by a photodiode detector. The results showed that when the laser beam is incident onto the magnetic disc with/ without scratch, reflecting lights to the photodiode are different and the signal changes according to the intensity of the incidental/reflecting lights.
Methacrylated Cartilage ECM-Based Hydrogels as Injectables and Bioinks for Cartilage Tissue Engineering

Articular cartilage (AC) possesses a limited healing potential, meaning that untreated focal joint defects typically progress, leading to the development of degenerative diseases such as osteoarthritis. Several clinical strategies exist that aim to regenerate AC; however, recapitulation of a fully functional, load-bearing tissue remains a significant challenge. This can be attributed, at least in part, to a paucity of biomaterials that truly mimic the native tissue and provide appropriate cues to direct its regeneration. The main structural component of articular cartilage, type II collagen, does not readily gelate at body temperature, challenging the development of cartilage extracellular matrix (cECM)-derived injectable hydrogels and bioinks for AC tissue engineering and bioprinting applications. Here, we describe the development and rheological characterisation of a methacrylated cartilage ECM-based hydrogel/bioink (cECM-MA), which could be photocrosslinked when exposed to ultraviolet (UV) light. Functionalisation of the collagen backbone with methacryloyl groups had a negligible effect on triple helix stability, as demonstrated by circular dichroism spectroscopy. These cECM-MA bioinks demonstrated shear-thinning properties and could be loaded with bone marrow mesenchymal stem cells (BM-MSCs), micro-extruded to generate self-supporting 3D constructs of predefined size and shape, and then photocrosslinked using UV light. Analysis of the cell-laden constructs showed that the BM-MSCs were viable post-printing and underwent chondrogenesis in vitro, generating a tissue rich in sulphated glycosaminoglycans and collagens. These results support the use of methacrylated, tissue-specific ECM-derived hydrogels as bioinks for 3D bioprinting and/or as injectables for cartilage tissue engineering applications.