Miracle-dz/UniFAR-FTUs huggingface dataset:
“Couch-to-5k or Couch to Ouch to Couch!?” Who Takes Part in Beginner Runner Programmes in the UK and Is Non-Completion Linked to Musculoskeletal Injury?

Physical activity has mental and physical health benefits; however, globally, three-quarters of the population do not meet physical activity guidelines. The Couch-to-5k is a beginner runner programme aimed at increasing physical activity. However, this programme lacks an evidence base, and it is unclear who is attracted to the programme; running also has a high rate of musculoskeletal (MSK) injuries. The aims of this study were to identify the characteristics of people taking part and the incidence of MSK injuries as well as exploring the experiences of people who dropped out of a modified 9-week Couch-to-5k programme. A total of 110 runners (average age was 47.1 ± 13.7 years) participated in the study, which involved completion of questionnaires (running experience and footwear information, quality of life (EQ-5D-5L), physical activity level (IPAQ-short form), MSK injury history and knee condition (SNAPPS and KOOS-PS)) at the start, middle and end of the programme and collecting sociodemographic information (age, gender, social economic status, relationship status, education level), as well as body mass index, running experience, footwear information, quality of life, physical activity levels, MSK injuries and knee condition. Fifteen drop-outs were interviewed to explore experiences of the programme. Runners were mainly females (81.8%) with an average age 47.1 years, average body mass index of 28.1 kg.m2, mainly from high socio-economic levels, married and educated to degree level. In total, 64% of the sample had previous running experience and were classified as active. Half the sample self-reported pain/discomfort and 37.2% reported anxiety/depression at the start of the programme via the EQ-5D-5L scale. Self-reported health scores increased (p = 0.047) between baseline (73.1 ± 18.8 out of 100) and at the midpoint (81.2 ± 11.6), but there were no significant differences between any other time points (end point 79.7 ± 17.5, p > 0.05). Twenty-one injuries were reported during the programme (19%). Previous injury increased the risk of new injury (OR 7.56 95% CI from 2.06 to 27.75). Only 27.3% completed the programme. Three themes emerged from interviews; MSK injury, negative emotions linked to non-completion and design of the programme. The Couch-to-5k may not attract diverse inactive populations, but future work with larger sample sizes is needed to substantiate this finding. Dropping out was linked to MSK injury and progressive design, so future programmes should consider including injury prevention advice and more flexible designs.
Col1a2-Deleted Mice Have Defective Type I Collagen and Secondary Reactive Cardiac Fibrosis with Altered Hypertrophic Dynamics

Rationale: The adult cardiac extracellular matrix (ECM) is largely comprised of type I collagen. In addition to serving as the primary structural support component of the cardiac ECM, type I collagen also provides an organizational platform for other ECM proteins, matricellular proteins, and signaling components that impact cellular stress sensing in vivo. Objective: Here we investigated how the content and integrity of type I collagen affect cardiac structure function and response to injury. Methods and Results: We generated and characterized Col1a2−/− mice using standard gene targeting. Col1a2−/− mice were viable, although by young adulthood their hearts showed alterations in ECM mechanical properties, as well as an unanticipated activation of cardiac fibroblasts and induction of a progressive fibrotic response. This included augmented TGFβ activity, increases in fibroblast number, and progressive cardiac hypertrophy, with reduced functional performance by 9 months of age. Col1a2-loxP-targeted mice were also generated and crossed with the tamoxifen-inducible Postn-MerCreMer mice to delete the Col1a2 gene in myofibroblasts with pressure overload injury. Interestingly, while germline Col1a2−/− mice showed gradual pathologic hypertrophy and fibrosis with aging, the acute deletion of Col1a2 from activated adult myofibroblasts showed a loss of total collagen deposition with acute cardiac injury and an acute reduction in pressure overload-induce cardiac hypertrophy. However, this reduction in hypertrophy due to myofibroblast-specific Col1a2 deletion was lost after 2 and 6 weeks of pressure overload, as fibrotic deposition accumulated. Conclusions: Defective type I collagen in the heart alters the structural integrity of the ECM and leads to cardiomyopathy in adulthood, with fibroblast expansion, activation, and alternate fibrotic ECM deposition. However, acute inhibition of type I collagen production can have an anti-fibrotic and anti-hypertrophic effect.
Ectomycorrhizal community associated with Cedrus deodara in four urban forests of Nantong in East China

Ectomycorrhizal (ECM) fungi play fundamental roles in host plant growth and terrestrial ecosystems. Cedrus deodara is cultivated in several regions in China, has high ecological, economic and medicinal value, for its afforestation and providing timber and wood oil. Here, we investigated ECM colonization status of four urban C. deodara forests in Nantong, East China. We also characterized soil spore banks by conducting bioassay experiments using soils collected from these forests. In total, we identified 19 ECM fungal species, of which 13 species were found in mature forests and 9 species were identified in bioassay experiments, with only 3 species shared. Soil pH and available P content had significant effects on species occurrence in both mature trees and bioassay seedlings on local scales. ECM communities clearly (A = 0.391, p = 0.006) separated mature forests from spore banks. Thelephoracae was the richest family we detected associated with C. deodara, while Trichophaea sp. was the most dominant in mature forests, and Wilcoxina sp. was dominant in spore banks. ECM richness affected the growth of bioassay seedlings, especially after inoculation with 2 ECM species, promoting root growth, significantly (F = 3.028, p = 0.050), but it had no effects on shoots (F = 1.778, p = 0.177). No effect of inoculation rate was found on seedlings growth. To conserve this important tree species, the ECM fungi that are associated with it should be considered.
Influence of Perceived Organizational Support and Leader-Member Exchange towards Readiness for Change among Employees of PT. Bank X

This study aims to determine the influence of perceived organizational support and leader-member exchange to readiness for change among employees of PT. Bank X. The measurement tools used in this research were perceived organizational support scale, leader-member exchange scale and readiness for change scale. The study involved 293 employees of PT. Bank X. The sampling method used is stratified random sampling. The statistical analysis used is multiple regression analysis. The results showed that perceived organizational support and the leader-member exchange influenced towards readiness for change among employees of PT. Bank X. Perceived organizational support and leader-member exchange contributed positively to employees' readiness for change. Perceived organizational support morecontributed to increasing readiness for change among employees of PT. Bank X rather than leader-member exchange. The implications of this research for the company to provide more support for the employees and implemented a better leader-member exchange in the company, so that the employees will be more ready to change.
Holistic Understanding of the Role of Carbohydrate Antigen 19-9 in Pancreatic Cancer Screening, Early Diagnosis, and Prognosis: A Systematic Review

Pancreatic ductal adenocarcinoma (PDAC) is a significant challenge due to its silent progression and well-advanced, unresectable, complicated presentation. Detecting this disease early on is crucial, and researchers have been investigating various potential biological markers, such as carbohydrate antigen 19-9 (CA 19-9), hoping to find indicators that can aid in its early detection. The primary focus of this review is on the diagnostic usefulness of CA 19-9 in detecting pancreatic cancer (PC) in the beginning stage and its usefulness in predicting progression. The database search of articles from PubMed, PMC, the Cochrane Library, and Google Scholar identified 227 articles published from 2013 to 2023. The keyword mix used in the search technique included terms like "CA 19-9," "pancreatic cancer," "diagnosis," and "early detection. " This study provides evidence of CA 19-9's ability in detecting PDAC in the pre-diagnostic stage. But since the outcomes were inconsistent among the included trials, further analysis is required to develop standardized diagnostic criteria and methodologies. Furthermore, because of the variability of the study, it is not easy to make firm conclusions on CA 19-9's sensitivity as well as specificity in the first stage of pancreatic neoplasm. This in-depth overview of the available literature provides new insights into using CA 19-9 as a biological marker for detecting undiagnosed PC before progressing into the advanced stage, and was proven beneficial. However, this has to be shown in broader research with adequate sample size. Although it shows promise as a diagnostic tool, further study is required to confirm these findings.
IMPLEMENTING LAND REFORM IN SOUTH AFRICA'S NORTHERN CAPE PROVINCE

A process for reworking of PGA chip carriers where one or more I/O pins is unplated. The process includes electrolytically etching the I/O pins which removes any corrosion product from the unplated I/O pins and removes the top gold layer from the remaining I/O pins. The etchant includes a metal-providing compound selected from the group consisting of a silver salt, copper cyanide, silver cyanide, gold cyanide or mixtures thereof, at a concentration in the range from about 2.7 to about 4.1 g/l as metal; potassium or sodium carbonate at a concentration in the range from about 10 to about 100 g/l; and potassium or sodium cyanide at a concentration in the range from about 29 to about 35 g/l.
COVID-19 vaccination acceptability among type 2 diabetes mellitus patients in a tertiary hospital in Southwest Nigeria: a cross-sectional study

Background: The mortality from COVID-19 is higher in diabetes mellitus (DM) patients compared to the general population, hence it is highly desirable that DM patients are vaccinated against COVID-19 infection. The aim was to determine the willingness of type 2 DM patients to accept COVID-19 vaccine and associated factors. Methods: This was a cross-sectional descriptive study that involved DM patients. Multivariable logistic regression was used to assess factors ssociated with willingness to be vaccinated. Results: A total of 302 DM patients participated in the study. About 90% of the respondents perceived COVID-19 to be a serious disease; however, 33.5% of the patients considered themselves to be at risk of contracting COVID-19 despite having DM. About 70.0% of the DM patients were willing to receive the vaccine. Factors associated with willingness to be vaccinated were perception of COVID-19 as a severe disease (Adjusted odds ratio (AOR), 6.09; 95% CI, 4.96- 12.27), previous vaccination (AOR, 1.58; 95% CI, 1.04- 2.98), and higher education (AOR, 2.36; 95% CI, 1.04- 6.86). Conclusion: About a third of the study participants were not willing to receive COVID-19 vaccination. There is need to educate the at-risk population about the importance of COVID-19 vaccination.
A lightweight adaptive random testing method for deep learning systems

In recent years, deep learning (DL) systems are increasingly used in the safety‐critical fields such as autonomous driving, medical diagnosis, and financial service. Although these systems have demonstrated an outstanding performance in enhancing the accuracy of decision‐making, they pose significant challenges to the trustworthiness due to their limited interpretability and inherent uncertainty. Adaptive random testing (ART) has been proved as an effective approach for ensuring the reliability of DL systems. However, existing ART methods for DL systems incur a heavy overhead in test case selection due to the computation of distances. To address this issue, we propose a lightweight adaptive random testing (Lw‐ARTDL) method for DL systems. In our improved algorithm, we employ the K‐Means technique to divide the entire test suite into several subsets. Then, for a candidate test case, we only calculate distances between it and the test cases within the category to which it belongs. This partition strategy ensures that the selected test cases are more representative while significantly reducing the computational cost. To validate the proposed algorithm, the comparison experiments between Lw‐ARTDL and the original ARTDL algorithm are conducted on two typical DL systems. The experimental results show that Lw‐ARTDL significantly reduces the overhead of failure detection, and exhibits stronger failure detection capability compared to ARTDL in most similarity metrics.
JMIR Biomedical Engineering

Background: Measuring the amount of physical activity and its patterns using wearable sensor technology in real-world settings can provide critical insights into health status. Objective: This study’s aim was to develop and evaluate the analytical validity and transdemographic generalizability of an algorithm that classifies binary ambulatory status (yes or no) on the accelerometer signal from wrist-worn biometric monitoring technology. Methods: Biometric monitoring technology algorithm validation traditionally relies on large numbers of self-reported labels or on periods of high-resolution monitoring with reference devices. We used both methods on data collected from 2 distinct studies for algorithm training and testing, one with precise ground-truth labels from a reference device (n=75) and the second with participant-reported ground-truth labels from a more diverse, larger sample (n=1691); in total, we collected data from 16.7 million 10-second epochs. We trained a neural network on a combined data set and measured performance in multiple held-out testing data sets, overall and in demographically stratified subgroups. Results: The algorithm was accurate at classifying ambulatory status in 10-second epochs (area under the curve 0.938; 95% CI 0.921-0.958) and on daily aggregate metrics (daily mean absolute percentage error 18%; 95% CI 15%-20%) without significant performance differences across subgroups. Conclusions: Our algorithm can accurately classify ambulatory status with a wrist-worn device in real-world settings with generalizability across demographic subgroups. The validated algorithm can effectively quantify users’walking activity and help researchers gain insights on users’ health status.
Attitude and ethical behaviors of healthcare providers as antidotes of health service consumer satisfaction in Mgbuoshimini Primary Health Centre, Port Harcourt, Nigeria

Health service consumers' satisfaction with the services they receive has been a challenge over the past decade, and this has been attributed to many factors that diverse scholars have investigated using different variables. In this study, the attitude and ethical behaviours of healthcare providers as antidotes to health service consumers' satisfaction in the Primary Health Centre at Mgbuoshimini, Port Harcourt, Nigeria, were investigated. A cross-sectional descriptive research design was used to select participants from pregnant women, nursing others, couples for family planning, and sick patients. The data were analysed using descriptive statistical tools. The results of the grand total response values were 400 (100%) and strongly agree had 190 (47.5%), agree had 160 (40%), 390 (100%) and strongly agree had 260 (66.7%), agree had 100 (25.6%), and strongly disagree had 13 (3.3%). The overall results were strongly agreed (66.7%) and agreed (25.6%); these connote that the attitudes and ethical behaviours of the healthcare providers towards healthcare service consumers in the primary healthcare facility were poor and that healthcare providers do not execute good ethical behaviour towards health service consumers in the facility, leading to low levels of health resource consumption, low patronage image promotion, and consumers' loss of confidence in the service provider. Therefore, the government should put mechanisms in place to ensure a positive attitude and favourable ethical behaviour among healthcare providers, and individual healthcare providers should also acquire soft skills to improve their attitude and ethical behaviour.
Effective color correction method employing HSV color model

This paper suggests a new algorithm to solve problems of the current retinex algorithm such as distortion of grey out and color noise due to the individual treatment of RGB channel and log function,and halo effect occurred by use of the Gaussian filter.The current retinex algorithm treats each channel in RGB space that brings a phenomenon to change the rate of RGB.To improve this phenomenon,the color information was fixed in the HSV color space,and retinex treatment was conducted against the V value,a luminance feature.Linear treatment was carried out to remove color noise occurred by the use of log function.S value,a saturation value was compensated in proportion to the change of V value in luminance to obtain a clearer image.The proposed algorithm was evaluated against the landscape images that had strong backlit phenomena,and it is proved to have a better performance than the current retinex algorithm,multiscale retinex with cdor restoration(MSRCR).
Geopolymer vs ordinary portland cement: review of the 3-d printing of concrete

Due to the need of the construction industry to implement structures with special and complex designs, mass customization with the lowest cost, especially reducing the labor cost as well as the amount of waste and materials used, the use of concrete 3D printing can be the appropriate solution to these requirements fulfill these options. As a result, a comprehensive and practical study of the major 3D printing methods and their development in the construction industry was carried out in this study. In addition, the use of OPC-based materials and geopolymer-based materials was reviewed and compared due to the development of the materials industry and the advantages and disadvantages of using different types of cementitious materials in the 3D printing of concrete.
River response to Late Quaternary environmental change in Corsica

Mediterranean river systems are particularly sensitive to environmental change and often provide good archives to reconstruct fluvial histories. This study investigates river response to environmental change in two steep land river catchments in Corsica. Late Pleistocene alluviation and pedogenic weathering is explored within the Tavignano River basin (-775 km2) and river response to Late Holocene (including Little Ice Age) environmental change is examined in the Figarella catchment (-132 km2). A range of geochronological controls has been employed including optically stimulated luminescence (OSL) dating, a profile development index (POI) determined from pedogenic properties, and lichenometry. This study also examines the potential of a relatively new absolute dating teclmique, terrestrial insitu cosmogenic nuclide dating, for establishing the timing of recent glacial activity in Corsica. Two cosmogenic lOBe nuclide exposure ages of 14.09 ± 1.04 k and 12.70 ± 0.96 k cal. years suggest that Corsica was glaciated during the Lateglacial period. Although more samples are required to confirm these ages, support for this interpretation is evident from other palaeoenvironmental data in the western Mediterranean and a simple snowpack model simulating Younger Dryas conditions in Corsica. Analysis of the Tavignano alluvial units indicates that Pleistocene glaciation is likely to have had a strong impact on the river regime and sedimentation style. The timing of the major alluviation phases has been estimated using an age model derived from OSL ages and the POI. Deposition is broadly coeval with the Late Pleistocene cold stages and climate change is therefore considered to be the dominant control on river behaviour during the Late Pleistocene. Lichenometric dating of coarse flood deposits on the Figarella valley floor has established the timing of flood periods since ca. AD 1570. At least ten distinct periods of enhanced flooding are evident over the last five centuries. Flooding was particularly prominent during the 1500s, mid-late 1700s and throughout the 1800s in the Figarella, corresponding to particularly cold and wet periods. The apparent synchrony of flood events across the Mediterranean region during the Little Ice Age suggests that climate variability over the past 500 years has been the overriding control on flood frequency in Corsica. Analyses of twentieth century rainfall records show a strong correlation between heavy precipitation events in the western Mediterranean and a strong negative winter North Atlantic Oscillation.
The prediction of uneven snowpack response to forest thinning informs forest restoration in the central Sierra Nevada

The Sierra Nevada has experienced unprecedented wildfires and reduced snowmelt runoff in recent decades, due partially to anthropogenic climate change and over a century of fire suppression. To address these challenges, public land agencies are planning forest restoration treatments, which have the potential to both increase water availability and reduce the likelihood of uncontrollable wildfires. However, the impact of forest restoration on snowpack is site specific and not well understood across gradients of climate and topography. To improve our understanding of how forest restoration might impact snowpack across diverse conditions in the central Sierra Nevada, we run the high‐resolution (1 m) energy and mass balance Snow Physics and Lidar Mapping (SnowPALM) model across five 23–75 km2 subdomains in the region where forest thinning is planned or recently completed. We conduct two virtual thinning experiments by removing all trees shorter than 10 or 20 m tall and rerunning SnowPALM to calculate the change in meltwater input. Our results indicate heterogeneous responses to thinning due to differences in climate and wind across our five central Sierra Nevada subdomains. We also predict the largest increases in snow retention when thinning forests with tall (7–20 m) and dense (40–70% canopy cover) trees, highlighting the importance of pre‐thinning vegetation structure. We develop a decision support tool using a random forests model to determine which regions would most benefit from thinning. In many locations, we expect major forest restoration to increase snow accumulation, while other areas with short and sparse canopies, as well as sunny and windy climates, are more likely to see decreased snowpack following thinning. Our decision support tool provides stand‐scale (30 m) information to land managers across the central Sierra Nevada region to best take advantage of climate and existing forest structure to obtain the greatest snowpack benefits from forest restoration.