Miracle-dz/UniFAR-FTUs huggingface dataset:
Tight Margins: Compression Garment Use during Exercise and Recovery—A Systematic Review

Background: Compression garments (CGs) are a popular tool that may act on physiological, physical, neuromuscular, biomechanical, and/or perceptual domains during exercise and recovery from exercise, with varying levels of efficacy. While previous reviews have focused on the effects of CGs during running, high-intensity exercise, and exercise recovery, a comprehensive systematic review that assesses the effectiveness of garment use both during and after exercise has not been recently conducted. Methods: A systematic search of the literature from the earliest record until May 2022 was performed based on the PRISMA-P guidelines for systematic reviews, using the online databases PubMed, SPORTDiscus, and Google Scholar. Results: 160 articles with 2530 total participants were included for analysis in the systematic review, comprised of 103 ‘during exercise’ studies, 42 ‘during recovery’ studies, and 15 combined design studies. Conclusions: During exercise, CGs have a limited effect on global measures of endurance performance but may improve some sport-specific variables (e.g., countermovement jump height). Most muscle proteins/metabolites are unchanged with the use of CGs during exercise, though measures of blood lactate tend to be lowered. CGs for recovery appear to have a positive benefit on subsequent bouts of endurance (e.g., cycling time trials) and resistance exercise (e.g., isokinetic dynamometry). CGs are associated with reductions in lactate dehydrogenase during recovery and are consistently associated with decreases in perceived muscle soreness following fatiguing exercise. This review may provide a useful point of reference for practitioners and researchers interested in the effect of CGs on particular outcome variables or exercise types.
PLI-VINS: Visual-Inertial SLAM Based on Point-Line Feature Fusion in Indoor Environment

In indoor low-texture environments, the point feature-based visual SLAM system has poor robustness and low trajectory accuracy. Therefore, we propose a visual inertial SLAM algorithm based on point-line feature fusion. Firstly, in order to improve the quality of the extracted line segment, a line segment extraction algorithm with adaptive threshold value is proposed. By constructing the adjacent matrix of the line segment and judging the direction of the line segment, it can decide whether to merge or eliminate other line segments. At the same time, geometric constraint line feature matching is considered to improve the efficiency of processing line features. Compared with the traditional algorithm, the processing efficiency of our proposed method is greatly improved. Then, point, line, and inertial data are effectively fused in a sliding window to achieve high-accuracy pose estimation. Finally, experiments on the EuRoC dataset show that the proposed PLI-VINS performs better than the traditional visual inertial SLAM system using point features and point line features.
Estimating the Decoupling between Net Carbon Emissions and Construction Land and Its Driving Factors: Evidence from Shandong Province, China

Human activities and land transformation are important factors in the growth of carbon emissions. In recent years, construction land for urban use in China has expanded rapidly. At the same time, carbon emissions in China are among the highest in the world. However, little is known about the relationship between the two factors. This study seeks to estimate the carbon emissions and carbon sequestrations of various types of land based on the land cover data of 137 county-level administrative regions in Shandong Province, China, from 2000 to 2020.The study estimated the carbon emissions for energy consumption using energy consumption data and night-time light images, hence, net carbon emissions. The Tapio decoupling coefficient was used to analyze the decoupling between the net carbon emissions and construction land, and where the model for the decoupling effort was constructed to explore the driving factors of decoupling. The results showed that net carbon emissions in Shandong Province continued to increase, and the areas with high carbon emissions were concentrated primarily in specific districts of the province. The relationship between net carbon emissions and construction land evolved from an expansive negative decoupling type to a strong negative decoupling type. Spatially, most areas in the province featured an expansive negative decoupling, but the areas with a strong negative decoupling have gradually increased. The intensive rate of land use and efficiencies in technological innovation have restrained carbon emissions, and they have contributed to an ideal decoupling situation. Although the intensity of carbon emission and the size of the population have restrained carbon emissions, efforts towards decoupling have faded. The degree of land use has facilitated carbon emissions, and in recent years, efforts have been made to achieve an ideal decoupling. The method of estimation of net carbon emissions devised in this research can lend itself to studies on other regions, and the conclusions provide a reference for China, going forward, to balance urbanization and carbon emissions.
Promoting Philosophy for Children (P4C) in teaching Reading

Philosophy for Children is an educational approach that emphasizes philosophical inquiry as a central component of the learning process. Critical thinking is cultivated through the use of reasoned moves to construct arguments. This study aims to look into how fairy tales can teach students about philosophy while also teaching them to read. This qualitative study is based on a case study at one of Surabaya's primary schools. As part of the research, two teachers participated. The data was gathered through interviews and document analysis. The findings showed that the students in the study used their own experiences to speculate and hypothesize about the activities of fictional characters. Implications and suggestions were also made
Sparsity Enforcing with Toeplitz Matrix Reconstruction Method for Mmwave Ul Channel Estimation with One-Bit Adcs

One-bit analog-to-digital converters enable digital beamforming in millimeter wave (mmWave) multi-input multi-output communication systems with low power consumption. Con-ventional signal processing tasks like channel estimation, though, are challenging due to the extreme quantization, making it challenging to implement uplink (UL) multiuser re-ceivers. We reformulate the UL channel estimation prob-lem as a multiplication of two specific matrices, and then we leverage Toeplitz matrix reconstruction in conjunction with the angular domain sparsity of the UL channel to recover UL channel via solving a properly designed optimization prob-lem. Our new approach is called the sparsity enforcing with Toeplitz matrix reconstruction (SE-TMR) method. Numerical simulations are carried out to showcase the advantages of SE-TMR over existing competitive methods in terms of normal-ized mean squared error in clustered narrowband channels.
First Eastern Mediterranean Record of Xenoligophoroides cobitis, the Only Dactylogyrid Monogenean Infecting Mediterranean Gobies: Just Arrived or Missed the Boat?

Gobies and their ectoparasitic monogenean flatworms are promising models for species diversification because of their species richness. Recent decades have seen the discovery of several new species of Gyrodactylus (Monogenea: Gyrodactylidae) on European gobies, mostly in the sand goby lineage and especially in the eastern Mediterranean. However, the monogenean fauna of other gobies is much less understood. Therefore, we inspected five gobiid species (34 specimens, vouchered, with some representatives sequenced), sampled in Greece, for monogenean ectoparasites. Only specimens of the giant goby, Gobius cobitis, were infected; they harbored Xenoligophoroides cobitis (Monogenea: Dactylogyridae) on their gills. Here, we provide the first record from Greece, and the first ITS rDNA and COI sequences of the representative of this monotypic genus. Additionally, 28S rDNA was sequenced and compared with published data from across its known distribution, suggesting clinal variation. No sister-group for Xenoligophoroides could be proposed, nor could we explain the presence of a single known member of this genus on gobies, due to a lack of sequence data of closely related dactylogyrid monogeneans in public databases. Possible hypotheses include either the ancestral long-term presence on gobiids but “missing the boat” of the diversification events in the “Gobius-lineage”, or a recent host switch from a non-gobiid host.
Influence of Capping Layer on Threshold Voltage for HKMG FinFET With Short Channel

The influence of SiO<sub>2</sub> and SiN<sub><italic>x</italic></sub> capping layer on threshold voltage (<inline-formula> <tex-math notation="LaTeX">${V}_{t}$ </tex-math></inline-formula>) for FinFET with TiAl-based metal gate (MG) is studied. After metal gate-stack formation, SiN<sub><italic>x</italic></sub> capping is revealed to be able to serve as a new N source, resulting in the diffusion of N into the effective work function (EWF) TiN<sub><italic>x</italic></sub> layer. Correspondingly, the accumulation of N in the TiN<sub><italic>x</italic></sub> layer is demonstrated to be able to lower the EWF for both n- and p-FinFETs. Compared to SiO<sub>2</sub> capping, SiN<sub><italic>x</italic></sub> capping can induce <inline-formula> <tex-math notation="LaTeX">$\sim 100$ </tex-math></inline-formula>–150 mV <inline-formula> <tex-math notation="LaTeX">${V}_{t}$ </tex-math></inline-formula> lowering for short n- and p-FinFETs. No obvious <inline-formula> <tex-math notation="LaTeX">${V}_{t}$ </tex-math></inline-formula> shift is found for long-channel devices.
Mesenchymal Stromal Cell Secretome for Therapeutic Application in Skin Wound Healing: A Systematic Review of Preclinical Studies

Non-healing skin wounds remain a challenge in the healthcare system. In this sense, it is suggested that the secretome of mesenchymal stromal cells (MSCs) can be effective as a therapeutic strategy for regenerative medicine. Therefore, this systematic review aimed to determine the effects of treatment with a secretome derived from MSCs on the healing of skin wounds in a preclinical model of rodents (mice and rats). Studies were systematically retrieved from 6 databases and gray literature that provided 1,172 records, of which 25 met the inclusion criteria for qualitative analysis. Results revealed substantial heterogeneity among studies concerning experimental designs and methodologies, resulting in a high risk of bias. Together, the selected studies reported that treatment improved wound healing by (1) accelerating wound closure and improving skin repair quality; (2) reducing inflammation by decreasing the number of cells and inflammatory cytokines, accompanied by polarization of the M2 macrophage; (3) complete re-epithelialization and epidermal reorganization; (4) neovascularization promoted by proliferation of endothelial cells (CD34+) and increased levels of pro-angiogenic mediators; (5) better scar quality promoted by increased expression of collagen types I and III, as well as improved deposition and remodeling of collagen fibers. In conclusion, despite the need for alignment of methodological protocols and transparent reports in future studies, results show that the secretome of MSCs from different tissue sources corresponds to a promising tool of regenerative medicine for the treatment of skin wounds.
At the intersection of space, place, and experience: An ethnographic case study of affordances in Architectural Design 1

This ethnographic case study explored the learning environment of a studio design course to describe how interactions in the studio environment shape students’ understandings and behaviors as they learn the fundamental elements of design and architectural practice. The purpose of the study was to understand the role of the studio environment in supporting students’ architectural knowledge and identity and provide insight into how individualenvironment interactions shape how students make meaning of their learning experiences. I spent a semester as a participant-observer in a beginning architecture course at a large, public university, and gathered data through approximately 106 hours of studio observations, 39 indepth interviews, course-related artifacts, and reflections on studio visits. Using a conceptual framework of affordances (Gibson, 1979; Greeno 1994), I describe the various ways the studio environment creates opportunities for social interaction and how studio culture intersects with the affordances of the studio environment. The study revealed the physical affordances of the studio environment were the open layout, public/private workspaces, and co-working in proximity to others. The structural affordances were long blocks of unscheduled work time, alignment between studio and other courses in the curriculum, the project brief, and the sequencing of the projects, tasks, and deadlines. The pedagogical affordances were formal and informal critique, mini-lectures, and demonstrations. Four characteristics of studio culture as defined by the literature—(a) a community of learners and architects; (b) centralizing feedback; (c) untimetabled design activity; and (d) experimentation and risk-taking—intersected with the physical, structural, and physical affordances of the studio in how beginning architecture students made meaning
Impact of Denoising on Deep-Learning-Based Automatic Segmentation Framework for Breast Cancer Radiotherapy Planning

Simple Summary We investigated the contouring data of organs at risk from 40 patients with breast cancer who underwent radiotherapy. The performance of denoising-based auto-segmentation was compared with manual segmentation and conventional deep-learning-based auto-segmentation without denoising. Denoising-based auto-segmentation achieved superior segmentation accuracy on the liver compared with AccuContourTM-based auto-segmentation. This denoising-based auto-segmentation method could provide more precise contour delineation of the liver and reduce the clinical workload. Abstract Objective: This study aimed to investigate the segmentation accuracy of organs at risk (OARs) when denoised computed tomography (CT) images are used as input data for a deep-learning-based auto-segmentation framework. Methods: We used non-contrast enhanced planning CT scans from 40 patients with breast cancer. The heart, lungs, esophagus, spinal cord, and liver were manually delineated by two experienced radiation oncologists in a double-blind manner. The denoised CT images were used as input data for the AccuContourTM segmentation software to increase the signal difference between structures of interest and unwanted noise in non-contrast CT. The accuracy of the segmentation was assessed using the Dice similarity coefficient (DSC), and the results were compared with those of conventional deep-learning-based auto-segmentation without denoising. Results: The average DSC outcomes were higher than 0.80 for all OARs except for the esophagus. AccuContourTM-based and denoising-based auto-segmentation demonstrated comparable performance for the lungs and spinal cord but showed limited performance for the esophagus. Denoising-based auto-segmentation for the liver was minimal but had statistically significantly better DSC than AccuContourTM-based auto-segmentation (p < 0.05). Conclusions: Denoising-based auto-segmentation demonstrated satisfactory performance in automatic liver segmentation from non-contrast enhanced CT scans. Further external validation studies with larger cohorts are needed to verify the usefulness of denoising-based auto-segmentation.
Toeing the party line: Politically driven responses to the coronavirus pandemic in the USA

Polling data indicate that in the USA, Republicans, compared to Democrats, have been less inclined to take preventive measures against coronavirus. In three studies (Ns = 380, 430, and 393), we sought to find evidence for partisan motivations and to illuminate how they translate into attitudes, behavioral intentions and actual behaviors. Results revealed a consensus that the Democratic party wants people take coronavirus seriously. Thus, while Democrats thought it was aligned with their political interests, Republicans thought it was in their opponents’ interests. Further analyses suggest that perceived party interests mediated the effect of party allegiance on attitudes about the seriousness of coronavirus, and both attitudes and intentions to preventive behaviors (Studies 1 and 2) and specifically attitudes and intentions to wear masks (Study 3). This relationship also held for mask-wearing behavior. Results suggest that people’s responses to coronavirus may reflect a conformity to the perceived wishes and interests of their political party.
Spatio-Temporal Heterogeneous Impacts of the Drivers of NO2 Pollution in Chinese Cities: Based on Satellite Observation Data

Rapid urbanization in China has led to an increasing problem of atmospheric nitrogen dioxide (NO2) pollution, which negatively impacts urban ecology and public health. Nitrogen dioxide is an important atmospheric pollutant, and quantitative spatio-temporal analysis and influencing factor analysis of Chinese cities can help improve urban air pollution. In this study, the spatio-temporal analysis methods were used to explore the variations of NO2 pollution in Chinese cities from 2005 to 2020. The findings are as follows. In more than half of Chinese cities, NO2 levels remarkably decreased between 2005 and 2020. The effective NO2 reduction strategies contributed to the significant NO2 reduction during the 13th Five-Year Plan (2016–2020). Moreover, we found that the pandemic of COVID-19 alleviated NO2 pollution in China since it reduced the traffic, industrial, and living activities. The NO2 pollution in Chinese cities was found highly spatially clustered. The geographically and temporally weighted regression model was used to analyze the spatio-temporal heterogeneity of NO2 pollution influencing factors in Chinese cities, including natural meteorological and socio-economic factors. The results showed that the GDPPC, population densities, and ambient air pressure were positively correlated with NO2 pollution. In contrast, the ratio of the tertiary to the secondary industry, temperature, wind speed, and relative humidity negatively impacted the NO2 pollution level. The findings of this research contribute to the improvement of urban air quality, stimulating the achievements of the sustainable development goals of Chinese cities.
The Complete Mitochondrial Genome of Plectorhinchus Chaetodonoides (Perciformes: Haemulidae)

Abstract Plectorhinchus chaetodonoides Lacepède, 1801 is a widespread multicolored sweetlips fish found in the Indo-West Pacific Ocean where its appearance and color patterns drastically change during growth. In this study, the whole mitochondrial genome of P. chaetodonoides was sequenced which revealed it is 16,546 bp long and contains 13 protein-coding genes, 22 transfer RNA (tRNA) genes, two ribosomal RNA (rRNA) genes, and one noncoding regulatory region. The GC content of the whole genome was 47.5% and 48.2%, 46.3%, 46.8%, 42.5% in the protein coding genes, tRNAs, rRNAs, and control regions, respectively. Molecular phylogenetic analysis resolved P. chaetodonoides as closely associated with Diagramma pictum and nested within a clade of Haemulidae that is allied with species from the Lutjanidae, Kyphosidae, Teraponidae, and Sciaenidae families. These results provide an essential genomic resource for future evolutionary and conservation studies of P. chaetodonoides as well as the Haemulidae family.
In vitro antioxidant and anticholinesterase activities of ethanolic turmeric crude
extract

This study was aimed at exploring the antioxidant and anticholinesterase effect of ethanolic turmeric crude extract. The antioxidant activity was determined by using the 1,1- diphenyl-2-picrylhydrazyl (DPPH) free radical-scavenging activity, (2,2'-azino-bis(3- ethylbenzothiazoline-6-sulfonic acid)) (ABTS) and ferric reducing antioxidant power (FRAP) values. Ethanolic crude extract of turmeric showed good antioxidant and anticholinesterase activities (% I); the activity was, 80.2±1.30%, 75.6±1.23% and 10.43±0.28% for ABTS, DPPH and FRAP, respectively, and 69.0±1.85% and 70.5±1.11% for AChE and BChE, respectively. However, the maximum% I for ABTS, DPPH and FRAP, that is, 87.2±1.34%, 86.0±1.59% and 19.36±0.37 µg FSE, respectively, were shown by positive control ascorbic acid, and for acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) inhibition, 86.69±1.24 and 89.3±1.01%, respectively, by galanthamine. Turmeric provides a potential natural source of bioactive compounds and is valuable to human health.
Spatiotemporal Variation and Driving Factors of Water Supply Services in the Three Gorges Reservoir Area of China Based on Supply-Demand Balance

Water supply services (WSSs) are critical to human survival and development. The Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model enables an integrated, dynamic, and visual assessment of ecosystem services at different scales. In addition, Geodetector is an effective tool for identifying the main driving factors of spatial heterogeneity of ecosystem services. Therefore, this article takes the Three Gorges Reservoir Area (TGRA), the most prominent strategic reserve of freshwater resources in China, as the study area and uses the InVEST model to simulate the spatiotemporal heterogeneity of the supply-demand balance of WSSs and freshwater security patterns in 2005, 2010, 2015, and 2018, and explores the key driving factors of freshwater security index (FSI) with Geodetector. The total supply of WSSs in the TGRA decreased by 1.05% overall between 2005 and 2018, with the head and tail areas being low-value regions for water yield and the central part of the belly areas being high-value regions for water yield. The total demand for WSSs in the TGRA increased by 9.1%, with the tail zones and the central part of the belly zones being the high water consumption areas. In contrast, the head zones are of low water consumption. The multi-year average FSI of the TGRA is 0.12, 0.1, 0.21, and 0.16, showing an upward trend. The key ecological function areas in the TGRA are high-value FSI regions, while the tail zones in the key development areas are low-value FSI regions. Industrial water consumption significantly impacts FSI, with a multi-year average q value of 0.82. Meanwhile, the q value of industrial and domestic water consumption on FSI in 2018 increased by 43.54% and 30%, respectively, compared with 2005. This study analyzes the spatiotemporal variation of WSSs and detects the drivers in the natural-economic-social perspective and innovation in ecosystem services research. The study results can guide water resource security management in other large reservoirs or specific reservoir areas.