Miracle-dz/UniFAR-FTUs huggingface dataset:
Team Standing’s Influence on Throwback and Current Team Apparel Purchase Intentions: The Moderating Role of Power Distance Belief

Abstract Despite the popularity of throwback apparel, few extant studies have investigated factors that differentially affect throwback and current apparel preferences. In this study, we suggest that the negative effects of poor team performance are especially relevant to low power distance belief fans and that throwback apparel is more resilient to these negative effects due to its nostalgic nature. Thus, the current study investigated the interplay between sport team ranking and power distance belief in shaping NBA fans’ preferences for current and throwback apparel. This study utilized a moderated moderation analysis of team ranking, product type (throwback vs. current team apparel), and power distance belief on purchase intentions. Data was collected from 401 NBA fans via Amazon Mechanical Turk. Findings suggest that, first, team ranking significantly influenced fans’ purchase intentions in general (i.e. both throwback and current apparel). Second, there was a significant interaction effect between team ranking and product type such that lower team rankings negatively influenced only current apparel and not throwback apparel. Third, high power distance belief was positively associated with purchase intentions of both throwback and current apparel. Finally, the three-way interaction effect was significant. Specifically, the two-way interaction between team ranking and product type was found to be significant only for low power distance belief fans and not high power distance belief fans.
ENHANCED CONDUCTION AND POOL BOILING HEAT TRANSFER ON SINGLE-LAYER GRAPHENE-COATED SUBSTRATES

Molecular dynamics simulations were employed to understand the improved thermal conductivity and water boiling heat transfer characteristics of adding single-layer graphene (SLG) to substrates. The 100, 110, and 111 planes of Cu, Ni, Pt, and Si were selected for study based on common heat transfer and graphene-compatible materials. Vibrational density of states data was analyzed in order to view heat flux trends. After equilibration at 300K the temperature was increased to 400K for 3 ns to induce nucleate boiling (~27K wall superheat). It was found that the addition of SLG greatly improved the overall thermal conductivity of the composite substrate, with increases in the 1-2 orders of magnitude range. The temperature gradients for SLG-coated substrates were found to be much lower than bare substrates. Nanoscale boiling curves were produced. The CuG100 case shows a 14% increase in critical heat flux (CHF) (~0.36 GW/m2) over the Cu100 case, and the PtG100 shows a 9% increase (~0.48 GW/m2) over the Pt100 case. The SLG-coated substrates also required less superheat to achieve the CHF condition.
Sources and sinks of methane in sea ice

We report on methane (CH4) stable isotope (δ13C and δ2H) measurements from landfast sea ice collected near Barrow (Utqiagvik, Alaska) and Cape Evans (Antarctica) over the winter-to-spring transition. These measurements provide novel insights into pathways of CH4 production and consumption in sea ice. We found substantial differences between the two sites. Sea ice overlying the shallow shelf of Barrow was supersaturated in CH4 with a clear microbial origin, most likely from methanogenesis in the sediments. We estimated that in situ CH4 oxidation consumed a substantial fraction of the CH4 being supplied to the sea ice, partly explaining the large range of isotopic values observed (δ13C between –68.5 and –48.5 ‰ and δ2H between –246 and –104 ‰). Sea ice at Cape Evans was also supersaturated in CH4 but with surprisingly high δ13C values (between –46.9 and –13.0 ‰), whereas δ2H values (between –313 and –113 ‰) were in the range of those observed at Barrow. These are the first measurements of CH4 isotopic composition in Antarctic sea ice. Our data set suggests a potential combination of a hydrothermal source, in the vicinity of the Mount Erebus, with aerobic CH4 formation in sea ice, although the metabolic pathway for the latter still needs to be elucidated. Our observations show that sea ice needs to be considered as an active biogeochemical interface, contributing to CH4 production and consumption, which disputes the standing paradigm that sea ice is an inert barrier passively accumulating CH4 at the ocean-atmosphere boundary.
diabetic nephropathy Transforming growth factor beta 1 and monocyte chemoattractant protein-1 as prognostic markers of

We aimed to find the relationship between serum transforming growth factor beta 1(TGF-b1) and urinary monocyte chemoattractant protein-1 (MCP-1) throughout the course of diabetic nephropathy (DN) and to assess the relationship between both levels and other parameters of renal injury such as albumin/creatinine ratio and estimated glomerular filtration rate (eGFR). Serum TGF-b1, urinary MCP-1, eGFR, and glycosylated hemoglobin (HbA1c) were measured in 60 patients with type II diabetes mellitus with different degrees of nephropathy (20 patients with normoalbuminuria, 20 patients with microalbuminuria, and 20 patients with macroalbuminuria) and compared with 20 matched healthy control subjects. Both the levels of serum TGF-b1 and urinary MCP-1 were significantly higher in patients with microand macroalbuminuria (137.8 + 69.5 and 329.25 + 41.46 ng/dl, respectively, for TGF-b1 and 167.41 + 50.23 and 630.87 + 318.10 ng/g creatinine, respectively, for MCP-1) compared with normoalbuminuric patients and healthy controls (33.25 + 17.5 and 29.64 + 10.57 ng/dl, respectively, for TGF-b1 and 63.85 + 21.15 and 61.50 + 24.81 ng/g creatinine, respectively, for MCP-1; p < 0.001). There was a positive significant correlation between the levels of serum TGF-b1 and those of urinary MCP-1 (r1⁄4 0.73, p < 0.001). Also, serum TGF-b1 and urinary MCP-1 correlated positively with HbA1c (r 1⁄4 0.49 and 0.55, respectively, p < 0.05 for both) and inversely with eGFR (r 1⁄4 0.69 and 0.60, respectively, p < 0.001 for both). We can conclude that serum TGF-b1 and urinary MCP-1 can be used as the markers for detection of progression of DN. Antagonizing TGF-b1 and MCP-1 might be helpful in attenuating the progression of nephropathy in diabetic patients.
The Learning Environment of Student Nurses During Clinical Placement: A Qualitative Case Study of a Student-Dense Ward

Introduction Ensuring the quality of clinical placements has long been a challenge in nursing education. This is partly due to a growing aging population requiring health services, and an increased need for nursing workforce. Both in Norway and internationally, there is a rise in the use of student-dense models, wherein several students are placed together on the same ward at the same time where the supervision of the students is the collective responsibility of the nurses. Objective The aim of this study was to explore factors that promote or inhibit learning in a student-dense ward when used as a model for clinical placement in hospitals. We examined how clinical placement is experienced in a student-dense ward, as well as how learning is facilitated. Methods A qualitative case study design was used to capture the learning environment on the student-dense ward in a comprehensive way. We used focus group interviews, in-depth interviews, and observations with students and employees at a major hospital in Norway. Results Our findings showed that the orientation days and the teaching activities in student-dense wards, the feedback students receive, the clinical facilitator's role and the student community were factors that had particular importance for good learning environments in this placement model. Conclusions To ensure the quality of clinical placements, more attention should be paid to these factors in the planning, organization, and facilitation of new and existing student-dense wards. It is paramount to provide students with thorough written feedback and to secure the clinical facilitators with enough time to conduct student supervision when organizing clinical placement as student-dense wards.
Seasonal extrema of sea surface temperature in CMIP6 models

Abstract. CMIP6 model sea surface temperature (SST) seasonal extrema averaged over 1981–2010 are assessed against the World Ocean Atlas (WOA18) observational climatology. We propose a mask to identify and exclude regions of large differences between three commonly-used climatologies. The biases in SST seasonal extrema are largely consistent with the annual mean SST biases. However, the amplitude and spatial pattern of SST bias vary seasonally in the 20 CMIP6 models assessed. Large seasonal variations in the SST bias occur in eastern boundary upwelling regions, polar regions, the North Pacific and eastern equatorial Atlantic. These results demonstrate the importance of evaluating model performance not simply against annual mean properties. Models with greater vertical resolution in their ocean component typically demonstrate better representation of SST extrema, particularly seasonal maximum SST. No significant relationship with horizontal ocean model resolution is found.
Honey Mead Fermentation from Thai Stingless Bee (Tetragonula leaviceps) Honey using Ethanol Tolerant Yeast

Honey mead is a well-known conventional alcoholic beverage made by microbial fermentation of diluted honey. The selection of prospective yeasts for inoculation of honey-must with regard to honey mead quality determines the quality of mead production. The yeast consortium tolerant to ethanol stress was selected for this study using an enrichment technique. The activity of the invertase enzyme and the level of ethanol tolerance have been investigated. Thai stingless bee honey was used as a substrate, and the selected ethanol tolerant yeast consortium was used for mead fermentation. The results revealed that the PP03 had the highest invertase activity of 75.13±9.16 U/mL and the highest ethanol tolerance level of 12%. This is the first study using an ethanol tolerant yeast consortium to ferment honey mead from Thai stingless bee honey.
Revealing the Molecular Mechanisms of Alzheimer’s Disease Based on Network Analysis

The complex pathology of Alzheimer’s disease (AD) emphasises the need for comprehensive modelling of the disease, which may lead to the development of efficient treatment strategies. To address this challenge, we analysed transcriptome data of post-mortem human brain samples of healthy elders and individuals with late-onset AD from the Religious Orders Study and Rush Memory and Aging Project (ROSMAP) and Mayo Clinic (MayoRNAseq) studies in the AMP-AD consortium. In this context, we conducted several bioinformatics and systems medicine analyses including the construction of AD-specific co-expression networks and genome-scale metabolic modelling of the brain in AD patients to identify key genes, metabolites and pathways involved in the progression of AD. We identified AMIGO1 and GRPRASP2 as examples of commonly altered marker genes in AD patients. Moreover, we found alterations in energy metabolism, represented by reduced oxidative phosphorylation and ATPase activity, as well as the depletion of hexanoyl-CoA, pentanoyl-CoA, (2E)-hexenoyl-CoA and numerous other unsaturated fatty acids in the brain. We also observed that neuroprotective metabolites (e.g., vitamins, retinoids and unsaturated fatty acids) tend to be depleted in the AD brain, while neurotoxic metabolites (e.g., β-alanine, bilirubin) were more abundant. In summary, we systematically revealed the key genes and pathways related to the progression of AD, gained insight into the crucial mechanisms of AD and identified some possible targets that could be used in the treatment of AD.
CLIMATE POLICIES: CHALLENGES, OBSTACLES AND TOOLS

A four-pronged approach to climate policy is presented consisting of carbon pricing, subsidies for renewable energies, transformative green investments and climate finance and engendering flywheel effects. Then, a variety of societal and political challenges and obstacles faced by such a climate policy and what can be done to overcome them are discussed. These range from stranded assets, the very long time scales needed to adapt and deal with global warming, intergenerational conflict, international free-rider problems, carbon leakage, green paradoxes, policy failure and capture, adverse income distributional effects and spatial scarcity to the problem of climate deniers and sceptics. The paper also discusses the various tools that are needed for the analysis of both ideal and workable climate policies, and the need to collaborate with complexity scholars, political scientists, sociologists and psychologists.
Investigating the Association between Orthopedic Fractures and Head Injury due to Road Traffic Accidents

Background Traumatic head injury (THI) due to road traffic accidents (RTAs) is a global health problem. Studies exploring the association between RTA-related THI and concurrent orthopedic fractures are lacking. We aim to provide a detailed analysis of this association and its impact on inhospital outcomes. Methods Retrospective analysis of RTA-related THI associated with orthopedic fractures admitted to a large tertiary center, Southwest, Saudi Arabia, over ten years. Descriptive statistics for participant demographics and clinical outcomes were represented by percentages. The associations between head injury diagnosis or orthopedic fractures region and patient demographics are analyzed using the Chi-square test. Post hoc analysis for the significant Chi-square values was carried out by calculating the significant adjusted residuals. Adjust p value was obtained by using the Benjamini-Hochberg procedure to control for multiplicity testing. A p value less than 0.05 was considered statistically significant. Results Concurrent orthopedic fractures are present in one-tenth of RTA-related THI. The cohort was dominated by young males, with 46.5% of the population between 18 and 29 years old. There was a significant association between the head injury diagnosis and the region of orthopedic fracture (p = 0.028). The type of head injury had significant associations with mortality and duration of hospital stay (p = 0.039 and p = 0.037, respectively). The region of orthopedic fracture significantly (p = 0.018) affected the duration of hospital stay, with fractures in the clavicle/shoulder region significantly (p = 0.035) having a short course of hospital admission. Conclusion Orthopedic fractures concomitant with RTA-related THI are common. The associations between the two injuries tend to happen in specific patterns. The inhospital stay duration and mortality significantly correlated with the site of the head or orthopedic injury. Knowledge of these patterns improves the care of THI victims, triaging, and resource allocations.
Intra-operative peri-articular cocktail injection in inflammatory arthritis patients undergoing total knee arthroplasty

Pain following TKA is often severe in most patients. The purpose of this case series was to assess the efficiency of intra-operative peri-articular cocktail injection in management of pain following total knee arthroplasty. This case series involves 16 patients with inflammatory arthritis of knee undergoing total knee arthroplasty (TKA). All patients had received peri-articular cocktail of drugs before the implantation of prosthesis with cement. In our study, there was significant improvement of Knee Clinical Score and Knee Functional Score following TKA. The mean KSS score was 37.5 (range: 31-44) improved to 92.5 (range, 86-99) and the functional score improved from 25.5 (range, 18-33) to 76 (range, 72- 80) at 6 months and 93 (range: 90-96) at 12 months. Intraoperative peri-articular injection with 20 ml of 0.5% ropivacaine, 1 ml of ketorolac, 1ml of clonidine and 0.5ml noradrenaline diluted in 20 ml of saline is effective in reducing immediate post-operative pain and thereby improving the overall functional outcome.
A Preliminary Global Automatic Burned-Area Algorithm at Medium Resolution in Google Earth Engine

A preliminary version of a global automatic burned-area (BA) algorithm at medium spatial resolution was developed in Google Earth Engine (GEE), based on Landsat or Sentinel-2 reflectance images. The algorithm involves two main steps: initial burned candidates are identified by analyzing spectral changes around MODIS hotspots, and those candidates are then used to estimate the burn probability for each scene. The burning dates are identified by analyzing the temporal evolution of burn probabilities. The algorithm was processed, and its quality assessed globally using reference data from 2019 derived from Sentinel-2 data at 10 m, which involved 369 pairs of consecutive images in total located in 50 20 × 20 km2 areas selected by stratified random sampling. Commissions were around 10% with both satellites, although omissions ranged between 27 (Sentinel-2) and 35% (Landsat), depending on the selected resolution and dataset, with highest omissions being in croplands and forests; for their part, BA from Sentinel-2 data at 20 m were the most accurate and fastest to process. In addition, three 5 × 5 degree regions were randomly selected from the biomes where most fires occur, and BA were detected from Sentinel-2 images at 20 m. Comparison with global products at coarse resolution FireCCI51 and MCD64A1 would seem to show to a reliable extent that the algorithm is procuring spatially and temporally coherent results, improving detection of smaller fires as a consequence of higher-spatial-resolution data. The proposed automatic algorithm has shown the potential to map BA globally using medium-spatial-resolution data (Sentinel-2 and Landsat) from 2000 onwards, when MODIS satellites were launched.
Imposed volunteering: Gender and caring responsibilities during the COVID-19 lockdown

This article contributes to the sociology of care-relational justice by identifying, conceptualising and unpacking ‘imposed volunteering’ as a mechanism that shapes societal caring arrangements. Contemporary societies allocate care work disproportionately to women, ethnic minorities and working-class citizens, which exacerbates social inequalities. Distribution of caring responsibilities is a political question but often not recognised as such, because it is deeply immersed in everyday routines. Our study uses the context of the COVID-19 pandemic to dissect the distribution mechanisms that became unusually palpable when the lockdown of public welfare provision in Denmark relocated some forms of care work from professionals to volunteers. With the term imposed volunteering, we conceptualise the feeling of being coerced into taking on new caring responsibilities, which some women – and men – experienced during the lockdown. Drawing on a national, representative survey, we document that, compared to men, women carried out significantly more voluntary care work and organised voluntary work through informal personal networks rather than through formal civil society organisations to a significantly higher degree. We unpack the experience of imposed volunteering as it unfolded during the lockdown through qualitative case studies, and clarify how relational and institutional factors, such as gendered expectations and the sense of personal obligation, imposed volunteering. Our study illuminates the importance of public care, reciprocal caring relationships and care for carers, and demonstrates why the mobilisation of care work volunteers must take gendered implications into account if it is to be consistent with democratic commitments to justice, equality and freedom for all.
Single, Double and Triple Blockade of RAAS in Alport Syndrome: Different Tools to Freeze the Evolution of the Disease

Background: The goal of the treatment of Alport syndrome (AS) is to delay the progression of kidney damage. The current standard of care is the use of Renin Angiotensin Aldosterone System (RAAS) blockers: angiotensin-converting enzyme inhibition (ACEi), angiotensin receptor blockade, and, recently, spironolactone (SP). Aim of the study: the purpose of this retrospective study is to evaluate the efficacy (reduction of proteinuria and changes of glomerular function) and safety of a sequential introduction of RAAS blockers up to a triple RAAS blockade in pediatric proteinuric patients with AS. Methods: in this retrospective study (1995 to 2019), we evaluated proteinuria values in AS patients, during the 12 months following the beginning of a new RAAS blocker, up to a triple blockade. ACEi was always the first line of treatment; then ARB and SP were sequentially added if uPCR increased by 50% from the basal level in 2 consecutive samples during a 3-months observation period, or when uPCR ratio was >2 mg/mg. Results: 26 patients (mean age at treatment onset was 10.55 ± 5.02 years) were enrolled. All patients were on ACEi, 14/26 were started on a second drug (6/14 ARB, 8/14 SP) after a mean time of 2.2 ± 1.7 years, 7/26 were on triple RAAS blockade after a further period of 5.5 ± 2.3 years from the introduction of a second drug. Repeated Measure Anova analysis of log-transformed data shows that the reduction of uPCR values after Time 0 from the introduction of the first, second and third drug is highly significant in all three cases (p values = 0.0016, 0.003, and 0.014, respectively). No significant changes in eGFR were recorded in any group, apart from a 15-year-old boy with X-linked AS, who developed kidney failure. One patient developed mild hyperkaliemia, and one gynecomastia and symptomatic hypotension. No life-threatening events were recorded. Conclusions: double and triple RAAS blockade is an effective and safe strategy to reduce proteinuria in children with AS. Nevertheless, we suggest monitoring eGFR and Kaliemia during follow-up.
A Review of Methods of Diagnosis and Complexity Analysis of Alzheimer's Disease Using EEG Signals

This study will concentrate on recent research on EEG signals for Alzheimer's diagnosis, identifying and comparing key steps of EEG-based Alzheimer's disease (AD) detection, such as EEG signal acquisition, preprocessing function extraction, and classification methods. Furthermore, highlighting general approaches, variations, and agreement in the use of EEG identified shortcomings and guidelines for multiple experimental stages ranging from demographic characteristics to outcomes monitoring for future research. Two main targets have been defined based on the article's purpose: (1) discriminative (or detection), i.e., look for differences in EEG-based features across groups, such as MCI, moderate Alzheimer's disease, extreme Alzheimer's disease, other forms of dementia, and stable normal elderly controls; and (2) progression determination, i.e., look for correlations between EEG-based features and clinical markers linked to MCI-to-AD conversion and Alzheimer's disease intensity progression. Limitations mentioned in the reviewed papers were also gathered and explored in this study, with the goal of gaining a better understanding of the problems that need to be addressed in order to advance the use of EEG in Alzheimer's disease science.