136 research outputs found

    RCDT: Relational Remote Sensing Change Detection with Transformer

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    Deep learning based change detection methods have received wide attentoion, thanks to their strong capability in obtaining rich features from images. However, existing AI-based CD methods largely rely on three functionality-enhancing modules, i.e., semantic enhancement, attention mechanisms, and correspondence enhancement. The stacking of these modules leads to great model complexity. To unify these three modules into a simple pipeline, we introduce Relational Change Detection Transformer (RCDT), a novel and simple framework for remote sensing change detection tasks. The proposed RCDT consists of three major components, a weight-sharing Siamese Backbone to obtain bi-temporal features, a Relational Cross Attention Module (RCAM) that implements offset cross attention to obtain bi-temporal relation-aware features, and a Features Constrain Module (FCM) to achieve the final refined predictions with high-resolution constraints. Extensive experiments on four different publically available datasets suggest that our proposed RCDT exhibits superior change detection performance compared with other competing methods. The therotical, methodogical, and experimental knowledge of this study is expected to benefit future change detection efforts that involve the cross attention mechanism.Comment: 18 pages, 11 figures

    PO-211 Reliability and Validity of Measuring Energy Expenditure in Inline and Shuttle Running with Honor and Lifesense Fitness Wristbands

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    Objective Energy expenditure is an indicator that comprehensively reflects the amount of physical activity. Fitness wristbands are used to monitor the energy expenditure of human activities in the fitness field. Among the fitness wristbands popular in China, Honor and Lifesense rank in the top list. However, there was no research on the reliability and validity of these two wristbands in measuring the energy expenditure. This study aims to evalute the reliability and validity of the two fitness wristbands (Honor and Lifesense) in measuring the energy expenditure in inline and shuttle running. Methods 18 male collegiate students (age: 22.4±2.5yrs, height: 177±7cm, mass: 69.3.±8.4kg) volunteered to participate in two four-stage incremental inline running tests (8km/h, 10km/h, 12km/h, 14km/h) and two 20m four-stage incremental shuttle running test (6km/h, 8km/h, 10km/h, 12km/h). The duration of each stage was 5 min, and intermittent per stage was 1 min. Honor B3(GMN-BX9, Honor, China) and Lifesense Mombo2(LS417-B, Lifesense, China)fitness wristbands was utilized to measure the energy expenditure of each stage in incremental inline and shuttle running. A portable spirometric system (K4b2, Cosmed, Italy) was utilized to measure the ventilator information during the test. The energy expenditure was converted into equivalent units (kcal) according to the measured respiratory quotient coefficient. The repeat measuremented reliability test was carried out on the energy expenditure indicators measured by the fitness wristbands in the twice incremental inline running and the shuttle running. The energy expenditure calculated by the portable gas metabolic instrument was comparedwith those  measured by Honor and Lifesense fitness wristbands. Results The result test-retest reliability found that the Honor and Lifesense fitness wristbands had well correlations between the two tests at a speed of 8km/h, 10km/h, 12km/h in inline running, and 8km/h, and 10km/h in shuttle running (r=0.44~0.93, P<0.05), but the correlation was not well at 6km/h in shuttle running (r<0.43, P>0.05). The Honor wristband correlation (r=0.83~0.93, P<0.05) was higher than the Lifesense fitness wristbands (r=0.44~0.60, P<0.05) at 8km/h, 10km/h, and 12km/h in inline running and at 8km/h, and 10km/h in shuttle running. The correlation coefficients of the two fitness wristbands at 8km/h and 10km/h in inline running (r=0.52~0.93, P<0.05) were both higher than those in shuttle running (r=0.44~0.83, P<0.05). The energy expenditure measured by K4b2 and the two kinds fitnees wristband was significantly different (P<0.05), except at 12km/h in inline running and 10km/h in shuttle running (P > 0.05).  Conclusions Honor and Lifesense wristbands have acceptable reliability in measuring energy expenditure at 8, 10, 12km/h in inline and shuttle running, with the fore slightly higher than the after. The two wristbands have higher reliability in measuring the energy expenditure in inline running than in shuttle running. The validity of measuring the energy expenditure with the two fitness wristbands is acceptable at 12km/h in inline running and at 10km/h in shuttle running, but not at other speed

    PO-226 Effect of Trunk Resistance Vest on Running Economy at Different Speed in Male Collegiate Students

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    Objective Wearable resistance training is a common method ultilzed by athletic and fitness population during running. This method is demonstrated to have multiple athletic and health benefits despite of its potential risk for running technique. Running economy is a measure for running technique, which is defined as the oxygen uptake (VO2) at a given sub-maximal speed. The purpose of this study is to evaluate the effect of wearable resistance on running economy at different running speed in male collegiate students. Methods 18 male collegiate students from Shanghai University of Sports (age: 22.4±2.4yrs, height: 177.4±7.5cm, body mass: 69.3±8.2kg, training experience: 4.6±1.6yrs, body fat: 13.3±4.7%) volunteered to perform one two four-stage incremental tests (8km/h, 10km/h, 12km/h, 14km/h) with and without a trunk resistance vest (10% of individual body mass). The duration of each stage was 5 min, and intermittent per stage was 1 min. A portable spirometric system (K4b2, Cosmed, Italy) was utilized to measure the ventilator and heart rate index during the test. The running economy was calculated as the averaged VO2 in the last minute of each stage. The capillary blood was collected from the earlobe after each stage IBM SPSS Statistics 19(SPSS Statistics 19, IBM Corporation, USA)was used to carry out a one-way repeated measurement ANOVA analysis on the physiological results at different speeds, and Paired-T test was to statistical analysis the normal and trunk vest test at the same speed. P<0.05 was set as the significant level. Results Along with the increase of speed, VO2, heart rate, blood lactate concentration and RPE was increased significantly (P<0.05, except  12km/h and 14km/h without vest, and 8km/h and 10km/h with vest). The running economy was slightly lower in running with vest at each running speed compared with without vest (P>0.05). However, the blood lactic concentration with vest was higher than that without vest at all speed, with the difference significant at 14km/h(9.3±2.9 vs. 7.6±2.2mM, P>0.05). The RPE was significant higher with vest than without vest at each speed (P<0.05, except at 8km/h). Conclusions Running with trunk resistance vest of 10% body mass is characterized with slightly better economy, although it induces a significant higher  blood lactic concentration and RPE. &nbsp

    Simultaneous suppression of PKM2 and PHGDH elicits synergistic anti-cancer effect in NSCLC

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    Metabolic reprogramming is a hallmark of human cancer. Cancer cells exhibit enhanced glycolysis, which allows glycolytic intermediates to be diverted into several other biosynthetic pathways, such as serine synthesis. Here, we explored the anti-cancer effects of the pyruvate kinase (PK) M2 inhibitor PKM2-IN-1 alone or in combination with the phosphoglycerate dehydrogenase (PHGDH) inhibitor NCT-503 in human NSCLC A549 cells in vitro and in vivo. PKM2-IN-1 inhibited proliferation and induced cell cycle arrest and apoptosis, with increased glycolytic intermediate 3-phosphoglycerate (3-PG) level and PHGDH expression. The combination of PKM2-IN-1 and NCT-503 further suppressed cancer cell proliferation and induced G2/M phase arrest, accompanied by the reduction of ATP, activation of AMPK and inhibition of its downstream mTOR and p70S6K, upregulation of p53 and p21, as well as downregulation of cyclin B1 and cdc2. In addition, combined treatment triggered ROS-dependent apoptosis by affecting the intrinsic Bcl-2/caspase-3/PARP pathway. Moreover, the combination suppressed glucose transporter type 1 (GLUT1) expression. In vivo, co-administration of PKM2-IN-1 and NCT-503 significantly inhibited A549 tumor growth. Taken together, PKM2-IN-1 in combination with NCT-503 exhibited remarkable anti-cancer effects through induction of G2/M cell cycle arrest and apoptosis, in which the metabolic stress induced ATP reduction and ROS augmented DNA damage might be involved. These results suggest that the combination of PKM2-IN-1 and NCT-503 might be a potential strategy for the therapy of lung cancer

    Dual-emission single sensing element-assembled fluorescent sensor arrays for the rapid discrimination of multiple surfactants in environments

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    Surfactants are considered as typical emerging pollutants, their extensive use of in disinfectants has hugely threatened the ecosystem and human health, particularly during the pandemic of coronavirus disease-19 (COVID-19), whereas the rapid discrimination of multiple surfactants in environments is still a great challenge. Herein, we designed a fluorescent sensor array based on luminescent metal–organic frameworks (UiO-66-NH2@Au NCs) for the specific discrimination of six surfactants (AOS, SDS, SDSO, MES, SDBS, and Tween-20). Wherein, UiO-66-NH2@Au NCs were fabricated by integrating UiO-66-NH2 (2-aminoterephthalic acid-anchored-MOFs based on zirconium ions) with gold nanoclusters (Au NCs), which exhibited a dual-emission features, showing good luminescence. Interestingly, due to the interactions of surfactants and UiO-66-NH2@Au NCs, the surfactants can differentially regulate the fluorescence property of UiO-66-NH2@Au NCs, producing diverse fluorescent “fingerprints”, which were further identified by pattern recognition methods. The proposed fluorescence sensor array achieved 100% accuracy in identifying various surfactants and multicomponent mixtures, with the detection limit in the range of 0.0032 to 0.0315 mM for six pollutants, which was successfully employed in the discrimination of surfactants in real environmental waters. More importantly, our findings provided a new avenue in rapid detection of surfactants, rendering a promising technique for environmental monitoring against trace multicontaminants

    Geographic Variation Did Not Affect the Predictive Power of Salivary Microbiota for Caries in Children With Mixed Dentition

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    Dental caries is one of the most prevalent chronic oral diseases, affecting approximately half of children worldwide. The microbial composition of dental caries may depend on age, oral health, diet, and geography, yet the effect of geography on these microbiomes is largely underexplored. Here, we profiled and compared saliva microbiota from 130 individuals aged 6 to 8 years old, representing both healthy children (H group) and children with caries-affected (C group) from two geographical regions of China: a northern city (Qingdao group) and a southern city (Guangzhou group). First, the saliva microbiota exhibited profound differences in diversity and composition between the C and H groups. The caries microbiota featured a lower alpha diversity and more variable community structure than the healthy microbiota. Furthermore, the relative abundance of several genera (e.g., Lactobacillus, Gemella, Cryptobacterium and Mitsuokella) was significantly higher in the C group than in the H group (p<0.05). Next, geography dominated over disease status in shaping salivary microbiota, and a wide array of salivary bacteria was highly predictive of the individuals’ city of origin. Finally, we built a universal diagnostic model based on 14 bacterial species, which can diagnose caries with 87% (AUC=86.00%) and 85% (AUC=91.02%) accuracy within each city and 83% accuracy across cities (AUC=92.17%). Although the detection rate of Streptococcus mutans in populations is not very high, it could be regarded as a single biomarker to diagnose caries with decent accuracy. These findings demonstrated that despite the large effect size of geography, a universal model based on salivary microbiota has the potential to diagnose caries across the Chinese child population

    Characterization techniques for tobacco and its derivatives: a systematic review

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    Biomass and its derivatives have broad applications in the fields of bio-catalysis, energy storage, environmental remediation. The structure and components of biomass, which are vital parameters affecting corresponding performances of derived products, need to be fully understood for further regulating the biomass and its derivatives. Herein, tobacco is taken as an example of biomass to introduce the typical characterization techniques in unraveling the structural information, chemical components, and properties of biomass and its derivatives. Firstly, the structural information, chemical components and application for biomass are summarized. Then the characterization techniques together with the resultant structural information and chemical components are introduced. Finally, to promote a wide and deep study in this field, the perspectives and challenges concerning structure and composition charaterization in biomass and its derivatives are put forward

    DNA methylation on N6-adenine in mammalian embryonic stem cells

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    It has been widely accepted that 5-methylcytosine is the only form of DNA methylation in mammalian genomes. Here we identify N6-methyladenine as another form of DNA modification in mouse embryonic stem cells. Alkbh1 encodes a demethylase for N6-methyladenine. An increase of N6-methyladenine levels in Alkbh1-deficient cells leads to transcriptional silencing. N6-methyladenine deposition is inversely correlated with the evolutionary age of LINE-1 transposons; its deposition is strongly enriched at young (6 million years old) L1 elements. The deposition of N6-methyladenine correlates with epigenetic silencing of such LINE-1 transposons, together with their neighbouring enhancers and genes, thereby resisting the gene activation signals during embryonic stem cell differentiation. As young full-length LINE-1 transposons are strongly enriched on the X chromosome, genes located on the X chromosome are also silenced. Thus, N6-methyladenine developed a new role in epigenetic silencing in mammalian evolution distinct from its role in gene activation in other organisms. Our results demonstrate that N6-methyladenine constitutes a crucial component of the epigenetic regulation repertoire in mammalian genomes

    Real-time Monitoring for the Next Core-Collapse Supernova in JUNO

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    Core-collapse supernova (CCSN) is one of the most energetic astrophysical events in the Universe. The early and prompt detection of neutrinos before (pre-SN) and during the SN burst is a unique opportunity to realize the multi-messenger observation of the CCSN events. In this work, we describe the monitoring concept and present the sensitivity of the system to the pre-SN and SN neutrinos at the Jiangmen Underground Neutrino Observatory (JUNO), which is a 20 kton liquid scintillator detector under construction in South China. The real-time monitoring system is designed with both the prompt monitors on the electronic board and online monitors at the data acquisition stage, in order to ensure both the alert speed and alert coverage of progenitor stars. By assuming a false alert rate of 1 per year, this monitoring system can be sensitive to the pre-SN neutrinos up to the distance of about 1.6 (0.9) kpc and SN neutrinos up to about 370 (360) kpc for a progenitor mass of 30MM_{\odot} for the case of normal (inverted) mass ordering. The pointing ability of the CCSN is evaluated by using the accumulated event anisotropy of the inverse beta decay interactions from pre-SN or SN neutrinos, which, along with the early alert, can play important roles for the followup multi-messenger observations of the next Galactic or nearby extragalactic CCSN.Comment: 24 pages, 9 figure
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