Search

Based on international law and practices, a map by itself does not constitute an independent territorial title and has no independent probative value in territorial disputes. Regarding maps with inaccurate or unreliable sources of information, unofficial maps and official maps produced by one party aiming to enhance its position, international judicial and arbitration institutions tend to hold a very little credibility. The Institute of Maritime and Ocean Affairs (IMOA), an agency of the Philippine Department of Foreign Affairs, and some Philippine political elites selected many of the maps for the 2014 exhibition. Although some maps or charts of Scarborough Shoal drawn by the Spanish colonists on display are official or semiofficial in nature, they do not mark the political boundaries of the relevant areas and are obviously inaccurate. The purpose of Spain's charting in each expedition to Scarborough Shoal was to provide guidance on navigational safety, not to assert sovereignty. It is difficult to arrive at definite conclusions about sovereignty over Scarborough Shoal from these maps and charts. The maps or charts displayed and drawn by cartographers from other countries, have many problems, such as insufficient accuracy, covering vast area more than the Philippine Islands and the lack of marking political boundaries and thus cannot prove that the Philippines has territorial sovereignty over Scarborough Shoal. Similarly, none of the maps and charts on display are sufficient to prove that the "Kalayaan Islands" belong to the Philippines. [ABSTRACT FROM AUTHOR]

Autologous chimeric antigen receptor T-cell therapy presents promising treatment outcomes for various cancers. However, its potential is restrained by unique supply chain challenges, including dynamic patient health conditions and extended turnaround time. These challenges often lead to missed optimal treatment windows, impeding the effective delivery of life-saving treatments. This article presents SimPAC (simulation-based decision support for Patient-centric manufacturing of autologous cell therapies). SimPAC is designed to model and incorporate real-time patient health conditions into the supply chain decisions of autologous chimeric antigen receptor T-cell therapy. SimPAC integrates system dynamics and agent-based simulation techniques, facilitating the adaptation of manufacturing processes and production schedules based on real-time patient health conditions. SimPAC can model various patient disease progressions using parametric functions, nonparametric functions, or tabular data. Additionally, SimPAC offers easy configuration options to model various cell therapy supply chains. We provide two case studies to demonstrate the capabilities of SimPAC and highlight the benefits of patient-centric manufacturing, including improved survival rates and potential economic advantages. However, while the benefits are significant, our study also emphasizes the importance of balancing improved patient outcomes, economic viability and ethical considerations in the context of personalized medicine. SimPAC can be used to explore applications of this approach to diverse therapeutic contexts and supply chain configurations. [ABSTRACT FROM AUTHOR]

Background: Macrophages play a crucial role in the development of cardiac fibrosis (CF). Although our previous studies have shown that glycogen metabolism plays an important role in macrophage inflammatory phenotype, the role and mechanism of modifying macrophage phenotype by regulating glycogen metabolism and thereby improving CF have not been reported. Methods: Here, we took glycogen synthetase kinase 3β (GSK3β) as the target and used its inhibitor NaW to enhance macrophage glycogen metabolism, transform M2 phenotype into anti-fibrotic M1 phenotype, inhibit fibroblast activation into myofibroblasts, and ultimately achieve the purpose of CF treatment. Results: NaW increases the pH of macrophage lysosome through transmembrane protein 175 (TMEM175) and caused the release of Ca2+ through the lysosomal Ca2+ channel mucolipin-2 (Mcoln2). At the same time, the released Ca2+ activates TFEB, which promotes glucose uptake by M2 and further enhances glycogen metabolism. NaW transforms the M2 phenotype into the anti-fibrotic M1 phenotype, inhibits fibroblasts from activating myofibroblasts, and ultimately achieves the purpose of treating CF. Conclusion: Our data indicate the possibility of modifying macrophage phenotype by regulating macrophage glycogen metabolism, suggesting a potential macrophage-based immunotherapy against CF. [ABSTRACT FROM AUTHOR]

A novel contactless excitation method for leaky‐wave antennas (LWAs) is proposed based on near‐field coupling between a physically disconnected input feed section and input ports of LWAs. Periodic slot‐pairs in substrate‐integrated waveguides are used to implement a plurality of planar LWAs in the Ka‐band, where contactless excitation allows switching of the input port along an antenna array without any mechanical disconnection and reconnection of coaxial connectors, thereby opening the path for mechanical switching‐based pattern reconfiguration. To demonstrate the proposed principle of contactless excitation, prototypes are shown with detailed reflection characteristics and radiation pattern measurements. [ABSTRACT FROM AUTHOR]

The senescence of aortic valve interstitial cells (VICs) plays a critical role in the progression of calcific aortic valve disease (CAVD). However, the precise mechanisms underlying the senescence of VICs remain unclear, demanding the identification of a novel target to mitigate this process. Previous studies have highlighted the anti‐aging potential of morusin. Thus, this study aimed to explore the therapeutic potential of morusin in CAVD. Cellular experiments reveal that morusin effectively suppresses cellular senescence and cause a shift toward osteogenic differentiation of VICs in vitro. Mechanistically, morusin activate the Nrf2‐mediated antiaging signaling pathway by downregulating CCND1 expression and aiding Keap1 degradation through Trim 25. This activation lead to the upregulated expression of antioxidant genes, thus reducing reactive oxygen species production and thereby preventing VIC osteogenic differentiation. In vivo experiments in ApoE−/− mice on a high‐fat Western diet demonstrate the positive effect of morusin in mitigating aortic valve calcification. These findings emphasize the antiaging properties of morusin and its potential as a therapeutic agent for CAVD. [ABSTRACT FROM AUTHOR]

The third generation of the BeiDou navigation satellite system (BDS-3) can transmit five-frequency signals. The real-time satellite clock offset of BDS-3 is typically generated utilizing the B1I/B3I combination with the ambiguity-float solutions. By conducting the ambiguity resolution (AR), the reliability of the satellite clock offset can be improved. However, the performance of BDS-3 ambiguity-fixed real-time satellite clock offset with B1C/B2a signals remains unknown and unrevealed. In this contribution, the performance of the BDS-3 ambiguity-fixed satellite clock offset with the new B1C/B2a signals is investigated. One week of observation data from 85 stations was used to perform ambiguity-fixed satellite clock offset estimation. For B1I/B3I and B1C/B2a signals, the wide-lane (WL) uncalibrated phase delay (UPD) on the satellite end is fairly stable for one day, while the narrow-lane (NL) UPD standard deviation (STD) amounts to 0.122 and 0.081 cycles, respectively. The mean ambiguity fixing rate is 80.7% and 78.0% for these two signal combinations, and the time to first fix (TTFF) for the B1C/B2a signals is remarkably shorter than that of the B1I/B3I signals. The STDs of the ambiguity-float and -fixed satellite clock offsets are 0.033 and 0.026 ns, respectively, for the B1I/B3I combination, and it is reduced to 0.024 and 0.023 ns for B1C/B2a signals, respectively. Using the estimated UPD and clock offset products, the positioning performance of the kinematic Precise Point Positioning (PPP)-AR results amounts to 1.56, 1.23, and 4.46 cm in the east, north, and up directions for B1I/B3I signals, respectively. It is improved to 1.36, 1.16, and 4.25 cm using the products estimated with the B1C/B2a signals, with improvements of 12.8%, 5.7%, and 4.7% in three directions, respectively. The experiments showed that the performances of the ambiguity-fixed satellite clock offsets and the PPP-AR results using B1C/B2a signals are better than those of B1I/B3I. [ABSTRACT FROM AUTHOR]

Green manufacturing is one of the most important development directions in mechanical processing field. Electrical discharge machining (EDM), one of the non-traditional machining, is increasingly used. However, there were hardly any studies on the evaluation of energy consumption and carbon emissions in EDM. In this study, a quantitative assessment model of carbon emission in EDM was built based on the emission factor method. The tool electrode wear, harmless treatment of residual tool electrodes and working fluid, and electrical energy consumed by the equipment were considered in this assessment model. EDM drilling experiments were conducted to verify the effectiveness of the proposed model. The effects of pulse width, pulse interval, and peak current on machining time, surface roughness, energy consumption, and carbon emissions were analyzed. The CNC system, cooling system, and power supply consumed about 95% of the total energy. In small hole EDM drilling, the total carbon emissions from the preparation and waste residue treatment of workpiece and tool electrode were almost negligible due to the small material removal volume. The carbon emissions generated by electrical energy consumption account for about 50% of the total carbon emissions. Carbon emissions can be minimized to 72 g and energy consumption can be reduced to a minimum of 37.48 Wh when processing a small hole with the diameter of 1 mm and the depth of 6 mm by EDM drilling. [ABSTRACT FROM AUTHOR]

Precise point positioning-real-time kinematic (PPP-RTK) positioning combines the advantages of PPP and RTK, which enables the integer ambiguity resolution (IAR) without requiring a reference station nearby. The ionospheric corrections are delivered to users to enable fast IAR. For large-scale networks, precise interpolation of ionospheric delays is challenging. The ionospheric delays are often independently estimated by the user, in the so-called ionosphere-float mode. The augmentation of low Earth orbit (LEO) satellites can bridge this shortcoming thanks to their fast speeds and the resulting rapid geometry change. Using 30-s real dual-frequency Global Positioning System (GPS) and Beidou Navigation Satellite System (BDS) observations within a large-scale network of thousands of kilometers, this contribution tests the effects of LEO augmentation using simulated dual-frequency LEO signals from the navigation-oriented LEO constellation, CentiSpace. Results showed that the LEO augmentation makes the solution convergence less sensitive to the original Global Navigation Satellite System (GNSS)-based model strength. The improvements in the convergence times are significant. For example, in the kinematic mode, the convergence time of the 90% lines of the GPS/BDS-combined ambiguity-float horizontal solutions to 0.05 m is shortened from more than 60 to 3.5 min, and that of the GPS-only partial ambiguity resolution (PAR)-enabled horizontal solutions is shortened from more than 20 to 4.5 min. In both the ambiguity-float and PAR-enabled cases, the 68.27% (1σ) lines of both the kinematic and static horizontal and height errors can converge to 0.05 m within 4 min, and for the 90% lines, within 6.5 min in all cases. The 90% line of the GPS/BDS/LEO combined PAR-enabled solutions can converge to 0.05 m within 2.5 and 3 min in the horizontal and up direction, respectively. Results also showed that enlarged projection of the mismodeled biases on the user coordinates were observed in the LEO-augmented scenario after convergence or ambiguity resolution. This is mainly due to the lower orbital height and low elevation angles of the LEO satellites, which requires further research when real LEO navigation signals are available. [ABSTRACT FROM AUTHOR]

Aims: Multiple sclerosis (MS) is a neuroinflammatory demyelinating disease. Microglia are reportedly involved in the pathogenesis of MS. However, the key molecules that control the inflammatory activity of microglia in MS have not been identified. Methods: Experimental autoimmune encephalomyelitis (EAE) mice were randomized into CD22 blockade and control groups. The expression levels of microglial CD22 were measured by flow cytometry, qRT–PCR, and immunofluorescence. The effects of CD22 blockade were examined via in vitro and in vivo studies. Results: We detected increased expression of microglial CD22 in EAE mice. In addition, an in vitro study revealed that lipopolysaccharide upregulated the expression of CD22 in microglia and that CD22 blockade modulated microglial polarization. Moreover, an in vivo study demonstrated that CD22 blockade aggravated EAE in mice and promoted microglial M1 polarization. Conclusion: Collectively, our study indicates that CD22 may be protective against EAE and may play a critical role in the maintenance of immune homeostasis in EAE mice. [ABSTRACT FROM AUTHOR]

The utilization of Low Earth Orbit (LEO) satellites is anticipated to augment various aspects of traditional GNSS-based Positioning, Navigation, and Timing (PNT) services. While the LEO satellite orbital products can nowadays be produced with rather high accuracy in real-time of a few centimeters, the precision of the LEO satellite clock products that can be achieved in real-time is less studied. The latter, however, plays an essential role in the LEO-augmented positioning and timing performances. In real-time, the users eventually use the predicted LEO satellite clocks, with their precision determined by both the near-real-time clock precision and the prediction time needed to match the time window for real-time applications, i.e., the precision loss during the prediction phase. In this study, a real-time LEO satellite clock determination method, consisting of near-real-time clock determination with ultra-short-term clock prediction is proposed and implemented. The principles and strategies of this method are discussed in detail. The proposed method utilized Kalman-filter-based processing, but supports restarts at pre-defined times, thus hampering continuous bias propagation and accumulation from ancient epochs. Based on the method, using Sentinel-3B GNSS observations and the real-time GNSS products from the National Center for Space Studies (CNES) in France, the near-real-time LEO satellite clocks can reach a precision of 0.2 to 0.3 ns, and the precision loss during the prediction phase is within 0.07 ns for a prediction time window from 30 to 90 s. This results in a total error budget in the real-time LEO satellite clocks of about 0.3 ns. [ABSTRACT FROM AUTHOR]

Background: GBM, also known as glioblastoma multiforme, is the most prevalent and lethal type of brain cancer. The cell proliferation, invasion, angiogenesis, and treatment of gliomas are significantly influenced by oxidative stress. Nevertheless, the connection between ORGs and GBM remains poorly comprehended. The objective of this research is to investigate the predictive significance of ORGs in GBM and their potential as targets for therapy. Methods: We identified differentially expressed genes in glioma and ORGs from public databases. A risk model was established using LASSO regression and Cox analysis, and its performance was evaluated with ROC curves. We then performed consistent cluster analysis on the model, examining its correlation with immunity and drug response. Additionally, PCR, WB and IHC were employed to validate key genes within the prognostic model. Results: 9 ORGs (H6PD, BMP2, SPP1, HADHA, SLC25A20, TXNIP, ACTA1, CCND1, EEF1A1) were selected via differential expression analysis, LASSO and Cox analysis, and incorporated into the risk model with high predictive accuracy. Enrichment analyses using GSVA and GSEA focused predominantly on malignancy-associated pathways. Subtype C of GBM had the best prognosis with the lowest risk score. Furthermore, the model exhibited a strong correlation with the infiltration of immune cells and had the capability to pinpoint potential targeted therapeutic medications for GBM. Ultimately, we selected HADHA for in vitro validation. The findings indicated that GBM exhibits a significant upregulation of HADHA. Knockdown of HADHA inhibited glioma cell proliferation and diminished their migration and invasion capacities and influenced the tumor growth in vivo. Conclusion: The risk model, built upon 9 ORGs and the identification of GBM subtypes, suggests that ORGs have a broad application prospect in the clinical immunotherapy and targeted drug treatment of GBM. HADHA significantly influences the development of gliomas, both in vivo and in vitro. [ABSTRACT FROM AUTHOR]

Silicon‐based packaging is highly suitable for miniaturised and cost‐effective integrated systems. However, traditional silicon‐based antenna‐in‐package (AiP) has disadvantages, such as high loss, low efficiency and narrow bandwidth. A glass‐silicon active package system architecture is proposed. Its active part is integrated on a silicon substrate, while the antenna array in the package system is made of glass, which has high radiation efficiency. The proposed antenna structure is an H‐type aperture‐coupled microstrip patch antenna. The authors use a ball grid array to form cavity and two shielding structures to improve the scanning performance of the array. Furthermore, by adding grounding points, the resonance singularity within the shielding structure is eliminated. A test array, composed of 8 × 8 elements was fabricated for the purpose of validating the design. It can achieve wide‐angle scanning greater than ±60° and bandwidth of 29%. This design can be applied for ka‐band communications and radar systems. [ABSTRACT FROM AUTHOR]

The selection between centralized and point-of-care (POC) manufacturing supply-chain network design is a crucial consideration in the autologous cell therapy (AuCT) industry, as each approach offers its advantages and disadvantages. This study uses a simulation-based approach to compare and examine the two strategies using the supply chain for chimeric antigen receptor T-cell therapy manufacturing as an exemplar. When does it make sense to use one manufacturing strategy over another? Currently, major manufacturers in the AuCT industry use centralized supply-chain strategies predominantly in practice. The simulation results explain the reasons for this choice. To enhance the competitiveness of the POC strategy, two operation rules are proposed and tested with the simulation. The study uses key performance indicators such as cost, fulfillment time, service level, and resource utilization to provide generic guidelines based on the findings. The results have revealed that (i) the centralized supply-chain strategy has a significant advantage at current demand levels of a few thousand products per year; (ii) "optimal capacity" exists for the POC strategy that minimizes the cost of goods and (iii) allowing part-time labor and order transshipment can significantly increase the competitiveness of the POC strategy. This study may be useful in helping commercial manufacturers make informed decisions about their manufacturing approach to enhance their competitiveness in the market and to ensure a high level of patient benefit. [ABSTRACT FROM AUTHOR]

Characterization of an isolated attosecond pulse (IAP) in the extreme ultraviolet (XUV) or soft x-ray (SXR) region is essential for its applications. Here we propose to retrieve an IAP in the time domain directly through the modulation of high-harmonic generation (HHG) spectra in the presence of a time-delayed intense few-cycle infrared or mid-infrared laser. The retrieval algorithm is derived based on the strong-field approximation and an extended quantitative rescattering model. We show that both isolated XUV pulses with a narrow spectral bandwidth and isolated SXR pulses with a broad bandwidth can be well characterized through the HHG streaking spectra. Such an all-optical method for characterizing the IAP differs from the commonly used approach based on the streaked photoelectron spectra that would require electron spectrometers. We check the robustness of the retrieval method by changing the dressing laser or by adjusting the steps of time delay. We also show that the XUV pulse can be accurately retrieved by treating the HHG streaking spectra calculated from solving the time-dependent Schrödinger equation for single atoms as the 'experimental' data. [ABSTRACT FROM AUTHOR]

The spectrum of information related to precision medicine in diabetes generally includes clinical data, genetics, and omics-based biomarkers that can guide personalized decisions on diabetes care. Given the remarkable progress in patient risk characterization, there is particular interest in using molecular biomarkers to guide diabetes management. Metabolomics is an emerging molecular approach that helps better understand the etiology and promises the identification of novel biomarkers for complex diseases. Both targeted or untargeted metabolites extracted from cells, biofluids, or tissues can be investigated by established high-throughput platforms, like nuclear magnetic resonance (NMR) and mass spectrometry (MS) techniques. Metabolomics is proposed as a valuable tool in precision diabetes medicine to discover biomarkers for diagnosis, prognosis, and management of the progress of diabetes through personalized phenotyping and individualized drug-response monitoring. This review offers an overview of metabolomics knowledge as potential biomarkers in type 2 diabetes mellitus (T2D) diagnosis and the response to glucose-lowering medications. [ABSTRACT FROM AUTHOR]

High-accuracy Low Earth Orbit (LEO) satellite clock and orbital products are preconditions to realize LEO augmentation for high-accuracy GNSS-based positioning on the ground. There is a high correlation between the orbit and clock parameters in the kinematic Precise Orbit Determination (POD) process. While future LEO satellites are planned to be equipped with better clocks, the benefits of modeling high-stability LEO satellite clocks are not yet thoroughly investigated, particularly when mid- to long-term systematic effects induced by the complex LEO relativistic effects and the external environment remain in the clocks. Through clock modeling, this study attempts to reduce not only the short-term noise of radial kinematic orbits, but also mis-modeled effects caused by, e.g., real-time GNSS orbital and clock errors. To explore the benefits of clock modeling, the clocks need to be first detrended by the mid- to long-term systematic effects. While over-detrending limits the orbital improvements, weak detrending would also hamper strong clock modeling and easily lead to performance degradations. A balance between the strengths of the detrending and the model thus needs to be investigated for different clock types. In this study, the Piece-Wise Linear (PWL) model of different time lengths and a 2.5-state filter with different strengths (h values) are tested using real data from GRACE FO-1 with an Ultra-Stable Oscillator (USO) on board. Using the CNES real-time GPS products, it was found that when detrending the clocks with a smoothing window of 300 to 500 s, one could generally expect an improvement larger than 10% in the estimation of radial orbits when applying a PWL model with a length from 300 to 1200 s. Improvements of this size can also be expected when using the 2.5-state model with h−1 (for Flicker Frequency Noise) from 10−28 to 10−30. [ABSTRACT FROM AUTHOR]

Background: The study aims to evaluate the performance of three advanced machine learning algorithms and a traditional Cox proportional hazard (CoxPH) model in predicting the overall survival (OS) of patients with pancreatic neuroendocrine neoplasms (PNENs). Method: The clinicopathological dataset obtained from the Surveillance, Epidemiology, and End Results database was randomly assigned to the training set and testing set at a ratio of 7:3. The concordance index (C‐index) and integrated Brier score (IBS) were used to compare the predictive performance of the models. The accuracy of the model in predicting the 5‐year and 10‐year survival rates was compared using the receiver operating characteristic curve, decision curve analysis (DCA) and calibration curve. Results: This study included 3239 patients with PNENs in total. The DeepSurv model had the highest C‐index of 0.7882 in the testing set and training set and the lowest IBS of 0.1278 in the testing set compared with the CoxPH, neural multitask logistic and random survival forest models (C‐index = 0.7501, 0.7616, and 0.7612, respectively; IBS = 0.1397, 0.1418, and 0.1432, respectively). Moreover, the DeepSurv model had the highest accuracy in predicting 5‐ and 10‐year OS rates (area under the curve: 0.87 and 0.90). DCA showed that the DeepSurv model had high potential for clinical decisions in 5‐ and 10‐year OS models. Finally, we developed an online application based on the DeepSurv model for clinical use (https://whuh‐ml‐neuroendocrinetumor‐app‐predict‐oyw5km.streamlit.app/). Conclusions: All four models analyzed above can predict the prognosis of PNENs well, among which the DeepSurv model has the best prediction performance. [ABSTRACT FROM AUTHOR]

• This is the first prospective study of functional decline across glycemic transitions. • A transition from normal to diabetes was associated with an accelerated concomitant decline in cognition and functioning. • Associations with prediabetes were not observed. Evidence about the decline of cognition and physical function across glycemic status (normoglycemia, prediabetes, and diabetes) is inconsistent. We evaluated longitudinal changes in cognition and physical function according to glycemic status and also different glycemic transitions. Population-based cohort study. 9307 participants (mean age 59.7 years, 53.7 % women) were included from the China Health and Retirement Longitudinal Study (2011–2018). Global cognition (assessed by orientation, memory, and executive function) and physical function (calculated as the sum of impaired basic and instrumental activities of daily living) were assessed in each wave. The glycemic status was assessed in waves 2011 and 2015. Diabetes was defined as fasting blood glucose ≥7.0 mmol/L, HbA1c ≥6.5 %, self-reported diabetes, or glucose-lowering medication use. Prediabetes was defined as fasting blood glucose 5.6–6.9 mmol/L or an HbA1c of 5.7–6.4 %. Compared with normoglycemia, baseline diabetes was associated with a faster decline in orientation (−0.018 SD/year, 95%CI -0.032, −0.004) and a faster increase in physical function score (0.082 /year, 95%CI 0.038, 0.126). We did not observe any effect of prediabetes on the changing rate of cognition and physical function. Progression from normoglycemia to diabetes between waves 2011 and 2015 was associated with a significantly faster decline in global cognition, memory, executive function, and physical function compared with stable normoglycemia. Baseline diabetes was associated with accelerated decline of cognition and physical function. Associations with prediabetes were not observed, suggesting an important short diagnostic window when diabetes presents de novo. [ABSTRACT FROM AUTHOR]

Associations of adiposity measures with incident type-2 diabetes in the total population and across multiple age categories. Adiposity indices were standardized sex specifically. Abbreviations: RFM, relative fat mass, BMI, body-mass index; WC, waist circumference; WHR, waist-hip ratio. [Display omitted] • RFM is a sex-specific, easy-to-calculate, obesity index that reflects whole-body fat percentage more accurately than BMI. • There are no large-scale studies examining the predictive value of RFM for new-onset T2D in the general population. • In the PREVEND cohort (n=7961), RFM was more strongly associated with incident T2D than traditional indices such as BMI, WC and WHR. • Strongest associations were observed in young individuals < 40 years of age. • Results were broadly similar in the Lifelines cohort (n = 93.870), and the Rotterdam cohort (n = 5279) Relative fat mass (RFM) is a novel sex-specific anthropometric equation (based on height and waist measurements) to estimate whole-body fat percentage. To examine associations of RFM with incident type-2 diabetes (T2D), and to benchmark its performance against body-mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR). This prospective longitudinal study included data from three Dutch community-based cohorts free of baseline diabetes. First, we examined data from the PREVEND cohort (median age and follow-up duration: 48.0 and 12.5 years, respectively) using Cox regression models. Validation was performed in the Lifelines (median age and follow-up duration: 45.5 and 3.8 years, respectively) and Rotterdam (median age and follow-up duration: 68.0 and 13.9 years, respectively) cohorts. Among 7961 PREVEND participants, 522 (6.6%) developed T2D. In a multivariable model, all adiposity indices were significantly associated with incident T2D (P all <0.001). While 1 SD increase in BMI, WC and WHR were associated with 68%, 77% and 61% increased risk of developing T2D [Hazard ratio (HR) BMI : 1.68 (95%CI: 1.57-1.80), HR WC : 1.77 (95% CI: 1.63-1.92) and HR WHR : 1.61 (95%CI: 1.48-1.75)], an equivalent increase in RFM was associated with 119% increased risk [HR: 2.19 (95%CI: 1.96-2.44)]. RFM was associated with incident T2D across all age groups, with the largest effect size in the youngest (<40 years) age category [HR: 2.90 (95%CI: 2.15-3.92)]. Results were broadly similar in Lifelines (n = 93,870) and Rotterdam (n = 5279) cohorts. RFM is strongly associated with new-onset T2D and displays the potential to be used in the general practice setting to estimate the risk of future diabetes. [ABSTRACT FROM AUTHOR]

Long-baseline time transfer can nowadays reach rather high frequency stability based on post-processed batch least-squares adjustment using the Precise Point Positioning (PPP) or Integer-PPP (IPPP) methods. For real-time PPP users, time transfer results are degraded due to the filter-based processing mode, and the degraded accuracy of the real-time satellite orbits and clocks compared to the final ones. The Real-Time Kinematic (RTK) time transfer can significantly reduce the satellite-related errors, but has limits on the baseline length similar to the RTK positioning. Also, the delivery of raw observations instead of State-Space Representation (SSR) products could result in pressure on data transfer and difficulties related to latency and prediction. In this study, the PPP-RTK technique, which combines the advantages of the PPP and the RTK methods, is tested for real-time long-baseline time transfer. As an alternative approach to the above two methods, it allows for the time transfer of long baselines, while not relying on external high-sampling and high-precision satellite clocks. By delivering the satellite clocks and satellite phase biases produced within the PPP-RTK regional network, time differences can be estimated between users and the reference network station, with which stable time transfer between users separated by long baselines can be realized. Using dual-frequency GPS and Galileo data, the PPP-RTK time transfer is tested using approximately a thousand-kilometer-scale network in Europe. The time transfer results between two hydrogen masers, i.e., those on the 884 km baseline BRUX-ONSA and the 920 km baseline WTZR-ONSA, are computed. At an averaging time of 10 5 s, Modified Allan Deviation (MDEV) at the level of sub- 10 - 15 to 10 - 15 can be reached when processing the user coordinates in the station fixed, static, or kinematic modes. The median clock residuals can converge to 1 ns and 0.3 ns within 2 min and 15 min, respectively, in the kinematic mode, while in the static and fixed modes the convergence times are shorter. With the augmentation of 150 Low Earth Orbit (LEO) satellites having simulated observations, the clock residuals can converge to 1 ns and 0.3 ns within 30 s and 3.5 min, respectively, for all the three estimation modes. [ABSTRACT FROM AUTHOR]

The augmentation of the Global Navigation Satellite System (GNSS) by Low Earth Orbit (LEO) satellites is proposed as an effective method to improve the precision and shorten the convergence time of Precise Point Positioning (PPP). Serving as navigation satellites in the future, LEO satellites need to be provided with their high-accuracy orbits in real-time. This would potentially enable the high-accuracy real-time LEO satellite clock determination, and eventually facilitate the high-accuracy ground-based positioning. Studies have been performed to achieve such real-time orbits using a Kalman filter in both the kinematic and reduced-dynamic modes. Batch Least-Squares (BLS) adjustment delivers more stable orbits in near-real-time, as it performs better phase screening. However, it suffers from longer delays compared to the Kalman filter. With the LEO satellite orbit prediction strategies improved over time, this latency can be bridged by short-term orbit prediction. In this study, using real-time GNSS satellite products, the real-time LEO satellite orbits are obtained based on the batch least-squares adjustment and short-term prediction. LEO ephemeris parameters are generated within specific prediction time windows. Using real data from the 500 km GRACE C satellite and 810 km Sentinel-3B satellite, the near-real-time BLS Precise Orbit Determination (POD) results exhibit good accuracy with an Orbital User Range Error (OURE) of 2–4 cm using different real-time GNSS products. A range of delays of the BLS POD processes are assumed, based on tests performed on different processing machines, leading to various prediction windows, from 3–8 min to 12–17 min that correspond to the real-time usage. The orbital prediction errors are shown to be highly correlated with the orbital height and the prediction time. The computational efficiency thus becomes essential to reduce the prediction errors for a certain LEO satellite. For advanced processing units leading to a prediction window shorter or equal to 6–11 min, one can expect a total real-time orbital error budget of 3–5 cm, provided that an appropriate prediction strategy is applied and high-quality GNSS products are used. For a given fitting interval, the ephemeris fitting errors are generally related to the number of ephemeris parameters and the orbital height. Compared with the prediction errors, the ephemeris fitting errors do not play a significant role in the total error budget when using 22 ephemeris parameters. [ABSTRACT FROM AUTHOR]

With the booming prosperity of artificial intelligence (AI) technology, it triggers a paradigm shift in engineering fields including material science. The integration of AI and machine learning (ML) techniques in material science brings significant advancements in understanding and characterizing underlying physics. Due to the overall outstanding properties compared to conventional metallic materials, high-performance fiber reinforced polymer (FRP) composites have attracted great interest. This article aims to provide a comprehensive review of the state-of-the-art works of applying AI/ML methods in high-performance FRP composites, focusing on four critical stages throughout the product life cycle, i.e., design, manufacturing, testing, and monitoring. This present study covers the tasks of material development and selection, process modeling and optimization, material property prediction, and damage diagnosis and prognosis in the four stages, which are conducted with the aid of advanced AI/ML algorithms. An outlook for the incorporation of modern advanced AI/ML models into FRP composite research is provided by the identification of current challenges and potential future research directions. [ABSTRACT FROM AUTHOR]

Calcific aortic valve disease (CAVD) primarily involves osteogenic differentiation in human aortic valve interstitial cells (hVICs). Schisandrol B (SolB), a natural bioactive constituent, has known therapeutic effects on inflammatory and fibrotic disorders. However, its impact on valve calcification has not been reported. We investigated the effect of SolB on osteogenic differentiation of hVICs. Transcriptome sequencing was used to analyze potential molecular pathways affected by SolB treatment. The study also included an in vivo murine model using aortic valve wire injury surgery to observe SolB's effect on valve calcification. SolB inhibited the osteogenic differentiation of hVICs, reversing the increase in calcified nodule formation and osteogenic proteins. In the murine model, SolB significantly decreased the peak velocity of the aortic valve post-injury and reduced valve fibrosis and calcification. Transcriptome sequencing identified the p53 signaling pathway as a key molecular target of SolB, demonstrating its role as a molecular glue in the mouse double minute 2 (MDM2)-p53 interaction, thereby promoting p53 ubiquitination and degradation, which further inhibited p53-related inflammatory and senescence response. These results highlighted therapeutic potential of SolB for CAVD via inhibiting p53 signaling pathway and revealed a new molecular mechanism of SolB which provided a new insight of theraputic mechanism for CAVD. [Display omitted] • SolB reversed osteogenic differentiation in hVICs. • SolB reduces valvular calcification in aortic valve injury murine model. • SolB enhanced MDM2-p53 interaction and reduced p53 related inflammation and senescence. • SolB is a potential pharmacotherapy for CAVD. [ABSTRACT FROM AUTHOR]

In recent years, low Earth orbit (LEO) satellites have been frequently discussed for their benefits in positioning and navigation services as an augmentation to the global navigation satellite systems (GNSSs). Similar to the positioning concept based on ranging to GNSS satellites, precise positioning of single-receiver users needs high-accuracy orbits and clocks of LEO satellites as a pre-condition. For real-time users, high prediction accuracies of these orbits at different latencies are needed. Unlike the satellite clocks, the GNSS orbits can be typically predicted for hours with high accuracy. LEO satellites, however, face more complicated perturbing dynamic terms due to their low altitudes. Therefore, the prediction accuracy and integrity of their orbits need to be addressed. In this study, using real data of three test LEO satellites GRACE C, Sentinel-1A and Sentinel-3B of different altitudes, various reduced-dynamic prediction strategies are assessed, with the appropriate methods selected for different prediction times up to 6 h. The global-averaged orbital user range errors (OUREs) are shown to be altitude-related. For the 700–800 km Sentinel satellites and 500 km GRACE satellite, the RMS of the OUREs is at sub-dm and dm-level for the prediction time of 1 h, respectively, and around 0.2 m and 0.6 m at the prediction time of 6 h, respectively. For integrity purposes, the worst-location OURE are calculated for the predicted orbits using a proposed algorithm considering the Earth as an Ellipsoid, not a sphere as usually done for the GNSS satellites. The orbital user range accuracy (OURA) is then evaluated for different prediction periods, having a time-dependent model proposed to compute the overbounding OURA at any prediction time within 6 h. With an integrity risk of 10 - 5 , using hourly quadratic polynomials as the time-dependent model, the overbounding OURA is around 0.1 m at the prediction of 1 h, and at the sub-meter level for the prediction of 6 h for the Sentinel satellites. [ABSTRACT FROM AUTHOR]

The front-page news in authoritative newspapers usually represents extremely significant national policies. Accurately classifying the front-page news from an amount of news helps us to quickly acquire and deeply understand the changing political and economic situations. In this paper, we propose a front-page news classification model StackText based on stacking the textual context and attribute information of news. In the proposed model, we first balance the classification size in the training set through the weighted random sampling algorithm, then construct the context and attribute feature vectors through the textual embedding and statistical analysis of news, and finally pretrain a classifier StackNet based on a neural network to realize the front-page news classification in the testing set. Taking People's Daily as the experimental example, we compare the proposed model with benchmark methods based on statistical learning and deep learning. Based on the news sets in four stages of People's Daily, the experimental results of the front-page news classification show that the proposed model achieves the highest average accuracy and a better balance between precision and recall, which is verified by the corresponding F 1 -score. [ABSTRACT FROM AUTHOR]

Because of small depth of field and small field of view of microscopic vision system in microassembly system, global morphologies, local features, and spatial states of trans-scale microparts and microgripper jaws in microassembly space cannot be observed and described simultaneously, which limits high-precision microassembly of trans-scale microparts. In this paper, a topological configuration of digital microassembly for microassembling microparts based on digital microassembly space as basic architecture of realizing different principles of digital microassembly is proposed. Accordingly, a principle of digital microassembly for realizing digital microassembly of hohlraum versus cone cavity is established based on digitalization principle of microassembly space and estimation method of microassembly position and orientation based on virtual digital microassembled target. The research results show that the topological configuration of digital microassembly of microparts based on digital microassembly space is the basic architecture of realizing different principles of digital microassembly. The constructed principle of digital microassembly can be used to realize the digital microassembly of hohlraum versus cone cavity with high accuracy. The estimation method of microassembly position and orientation based on virtual digital microassembled target can obtain microassembly position and orientation of hohlraum and cone cavity. And the digital pre-microassembly of hohlraum versus cone cavity can be used to analyze the assemblability of digital microassembly of hohlraum versus cone cavity. Therefore, digital microassembly of microparts based on digital microassembly space provides a novel method for realizing high-precision microassembly of microparts and lays a foundation for prospering microassembly technologies of microparts. [ABSTRACT FROM AUTHOR]

Micro-electrical discharge machining (micro-EDM) is a feasible method for machining microstructures. Applying an external magnetic field during micro-EDM is a convenient method for improving processing characteristics. However, there is still no agreement on the effect of an external magnetic field on the machined surface quality. And few papers explored the effect of direction of an external magnetic field on machining characteristics. In this study, the effect of an external magnetic field on plasma channel was explored. Micro-EDM milling experiments with and without the assistance of an external magnetic field were conducted, and the external magnetic field direction was selected to be parallel or perpendicular to the feed direction of milling. The machined surface was observed and analyzed. The effect of the external magnetic field on material removal rate (MRR), relative tool wear ratio (RTWR), and surface roughness (Ra) is discussed. The experimental results show that an external magnetic field of appropriate intensity can reduce the number of short circuits but has a slightly negative influence on MRR. The general conclusion that an external magnetic field parallel to the direction of feed can reduce surface roughness in micro-EDM milling can be drawn. [ABSTRACT FROM AUTHOR]

Neural stem cell (NSC) therapies are developing rapidly and have been proposed as a treatment option for various neurological diseases, such as stroke, Parkinson's disease and multiple sclerosis. However, monitoring transplanted NSCs, exploring their location and migration, and evaluating their efficacy and safety have all become serious and important issues. Two main problems in tracking NSCs have been noted: labeling them for visibility and imaging them. Direct labeling and reporter gene labeling are the two main methods for labeling stem cells. Magnetic resonance imaging and nuclear imaging, including positron emission tomography, single-photon emission computed tomography, and optical imaging, are the most commonly used imaging techniques. Each has its strengths and weaknesses. Thus, multimodal imaging, which combines two or more imaging methods to complement the advantages and disadvantages of each, has garnered increased attention. Advances in image fusion and nanotechnology, as well as the exploration of new tracers and new imaging modalities have substantially facilitated the development of NSC tracking technology. However, the safety issues related to tracking and long-term tracking of cell viability are still challenges. In this review, we discuss the merits and defects of different labeling and imaging methods, as well as recent advances, challenges and prospects in NSC tracking. [ABSTRACT FROM AUTHOR]

The large‐element‐spacing array is often used to reduce the channels and costs of the phased array. However, it will form grating lobes (GLs) in the visible space, which decrease the performance. The displaced subarray technique has strong GL suppression ability and simple engineering implementation, but its design process is very complex. This paper presents a new parameter design method of variable subarray gaps. The gaps between subarray are optimised using genetic algorithm, and the levels of GL and quantisation lobe (QL) can be minimised simultaneously. This method sets the normalised values of gaps and the maximum gap as optimisation variables, which greatly improves the convergence speed and has strong global optimisation. In addition, a new segmented multimode horn is proposed as the array element. Its influence on GL suppression is also considered in the optimisation process. This method is used to design a prototype with 52 subarrays. The measured results show that the GL level is below −15.9 dB and the QL level is below −24 dB from 16 to 19 GHz, which are in good agreement with the simulation results. It shows that this method has a strong ability to suppress GL and QL levels for wideband applications. [ABSTRACT FROM AUTHOR]

Low Earth orbit (LEO) satellites benefit future ground-based positioning with their high number, strong signal strength and high speed. The rapid geometry change with the LEO augmentation offers acceleration of the convergence of the precision point positioning (PPP) solution. This contribution discusses the influences of the LEO augmentation on the precise point positioning—real-time kinematic (PPP-RTK) positioning and its integrity monitoring. Using 1 Hz simulated data around Beijing for global positioning system (GPS)/Galileo/Beidou navigation satellite system (BDS)-3 and the tested LEO constellation with 150 satellites on L1/L5, it was found that the convergence of the formal horizontal precision can be significantly shortened in the ambiguity-float case, especially for the single-constellation scenarios with low precision of the interpolated ionospheric delays. The LEO augmentation also improves the efficiency of the user ambiguity resolution and the formal horizontal precision with the ambiguities fixed. Using the integrity monitoring (IM) procedure introduced in the first part of this series of papers, the ambiguity-float horizontal protection levels (HPLs) are sharply reduced in various tested scenarios, with an improvement of more than 60% from 5 to 30 min after the processing start. The ambiguity-fixed HPLs can generally be improved by 10% to 60% with the LEO augmentation, depending on the global navigation satellite system (GNSS) constellations used and the precision of the ionospheric interpolation. [ABSTRACT FROM AUTHOR]

In permanent-magnet synchronous motor (PMSM) drives, many current control strategies are presented to compensate the effects of rotor flux distortion on torque performance. These strategies are usually realized in the synchronously rotating reference frame and at least two-phase current sensors are used. Although the technique of phase current reconstruction enables three-phase currents to be obtained with a single dc-link current sensor, two-phase current controllers and complex coordinate transformations are still necessary. In this article, a simplified current control strategy for low-power PMSM drives is proposed. First, a torque allocation law is designed to resolve the reference electromagnetic torque into the reference three-phase currents with compensation for rotor flux distortion. Second, the reference three-phase currents are further converted into the reference dc-link current according to the averaging theory. Third, the amplitude and waveform control of three-phase currents are fulfilled by using dc-link current controller and ac-side pulsewidth modulation, respectively. This strategy can compensate the effects of rotor flux distortion on torque performance and is easy to implement with only one current sensor and one controller. Simulation and experimental results demonstrate the effectiveness of the proposed strategy. [ABSTRACT FROM AUTHOR]

Part-level representations are important for robust person re-identification (ReID), but in practice feature quality suffers due to the body part misalignment problem. In this paper, we present a robust, compact, and easy-to-use method called the Multi-task Part-aware Network (MPN), which is designed to extract semantically aligned part-level features from pedestrian images. MPN solves the body part misalignment problem via multi-task learning (MTL) in the training stage. More specifically, it builds one main task (MT) and one auxiliary task (AT) for each body part on the top of the same backbone model. The ATs are equipped with a coarse prior of the body part locations for training images. ATs then transfer the concept of the body parts to the MTs via optimizing the MT parameters to identify part-relevant channels from the backbone model. Concept transfer is accomplished by means of two novel alignment strategies: namely, parameter space alignment via hard parameter sharing and feature space alignment in a class-wise manner. With the aid of the learned high-quality parameters, MTs can independently extract semantically aligned part-level features from relevant channels in the testing stage. MPN has three key advantages: 1) it does not need to conduct body part detection in the inference stage; 2) its model is very compact and efficient for both training and testing; 3) in the training stage, it requires only coarse priors of body part locations, which are easy to obtain. Systematic experiments on four large-scale ReID databases demonstrate that MPN consistently outperforms state-of-the-art approaches by significant margins. [ABSTRACT FROM AUTHOR]

Precise orbit determination (POD) is the procedure for determining the orbit of a satellite with high accuracy. Compared with global navigation satellite systems (GNSS), the low Earth orbit (LEO) satellites have some different features in space, mainly due to perturbations caused by dynamic forces related to their altitudes. Methods for POD of LEO satellites have been developed over the last decades. Nowadays, postprocessed precise orbits are used in different space applications such as radio occultation, satellite altimetry, and interferometric synthetic-aperture radar missions. The advancements in technology decrease the size of LEO satellites and developments in theory increase their orbital accuracy. In recent years, onboard POD has become a hot topic in the navigation and positioning field, which is crucial for, e.g., formation flying of small satellites and GNSS-aided LEO megaconstellations for positioning purposes. This contribution reviews LEO POD methods based on undifferenced GNSS observations in both postmission and real-time data processing. It comprises the quality control step, the models used and their limitations, processing algorithms, and different validation methods. To have a clear insight into the current and the future state of the LEO POD, the most recent developments and important achievements are also discussed. [ABSTRACT FROM AUTHOR]

Wearable devices are a new means of human-computer interaction with different functions, underlying principles, and forms. They have been widely used in the medical and health fields, in applications including physiological signal monitoring; sports; and environmental detection, while subtly affecting people's lives and work. Wearable sensors as functional components of wearable devices have become a research focus. In this review, we systematically summarize recent progress in the development of wearable sensors and related devices. Wearable sensors in medical health applications, according to the principle of measurement, are divided into physical and chemical quantity detection. These sensors can monitor and measure specific parameters, thereby enabling continuously improvements in the quality and feasibility of medical treatment. Through the detection of human movement, such as breathing, heartbeat, or bending, wearable sensors can evaluate body movement and monitor an individual's physical performance and health status. Wearable devices detecting aspects of the environment while maintaining high adaptability to the human body can be used to evaluate environmental quality and obtain more accurate environmental information. The ultimate goal of this review is to provide new insights and directions for the future development and broader application of wearable devices in various fields. Graphical abstract [ABSTRACT FROM AUTHOR]

Three‐dimensional (3D) morphology of microparts has an important influence on performance of microassembly system that mainly assembles microparts in millimetre and micron scale. Because 3D morphology of microparts cannot be accurately obtained by conventional microscopic vision system, a depth estimation method of surface of micropart in microassembly space based on microscopic vision tomographic scanning (MVTS) images is proposed in this paper. The proposed method uses the positions of pixels with the largest focus values in MVTS image to construct the isodepth contours of surface of micropart and obtains the depth values of micropart's surface at the positions of MVTS by assigning depth values to corresponding isodepth contours. The MVTS images are obtained by MVTS and pixels with the largest focus values in MVTS image are obtained by focus measurement of MVTS images of micropart in microassembly space. On these bases, 3D spatial interpolation method is applied to map depth value of space between adjacent isodepth contours and to obtain depth values of all surface of micropart. Simulation experiments are carried out to verify the proposed method by generating simulated MVTS image array from two simulation objects, and the influence parameters of the proposed method are analysed. In established experimental setup of microassembly that can realise MVTS, experimental verification for the proposed depth estimation method are carried out by using cone cavity and end jaws of microgripper. 3D morphologies of depth maps of cone cavity and end jaws of microgripper are registered with their respective CAD models using iterative nearest point registration algorithm to quantify accuracy of depth estimation. The research results show that 3D morphology of micropart can be obtained by the proposed method and has better accuracy than those by conventional shape from focus method. This method provides a new way to obtain the morphology of microparts and lays a foundation for improving the accuracy and efficiency of gripping, alignment and approaching microparts in microassembly systems. [ABSTRACT FROM AUTHOR]

Existing part-aware person re-identification methods typically employ two separate steps: namely, body part detection and part-level feature extraction. However, part detection introduces an additional computational cost and is inherently challenging for low-quality images. Accordingly, in this work, we propose a simple framework named Batch Coherence-Driven Network (BCD-Net) that bypasses body part detection during both the training and testing phases while still learning semantically aligned part features. Our key observation is that the statistics in a batch of images are stable, and therefore that batch-level constraints are robust. First, we introduce a batch coherence-guided channel attention (BCCA) module that highlights the relevant channels for each respective part from the output of a deep backbone model. We investigate channel-part correspondence using a batch of training images, then impose a novel batch-level supervision signal that helps BCCA to identify part-relevant channels. Second, the mean position of a body part is robust and consequently coherent between batches throughout the training process. Accordingly, we introduce a pair of regularization terms based on the semantic consistency between batches. The first term regularizes the high responses of BCD-Net for each part on one batch in order to constrain it within a predefined area, while the second encourages the aggregate of BCD-Net’s responses for all parts covering the entire human body. The above constraints guide BCD-Net to learn diverse, complementary, and semantically aligned part-level features. Extensive experimental results demonstrate that BCD-Net consistently achieves state-of-the-art performance on four large-scale ReID benchmarks. [ABSTRACT FROM AUTHOR]

Isolated attosecond pulses (IAPs) in the soft x-ray (SXR) region are highly desirable for attosecond time-resolved experiments. Here we identify a transient phase matching gating method for the generation of such IAPs with mid-infrared (MIR) lasers. This gating method works when a loosely focused, long-duration MIR Gaussian driving beam is slightly reshaped during its propagation in the gas medium under the 'critical' ionization condition. Quantitatively, the calculated coherence length of high harmonic is used to analyze the mechanism of the gating method, by using one-dimensional plane-wave beams and by comparing 2000 nm and 800 nm lasers. The robustness of the generation method is checked by varying laser's carrier-envelope-phase and gas pressure. This gating method provides with an alternative route to efficiently produce tabletop ultrashort attosecond SXR light sources with the emerging MIR lasers. [ABSTRACT FROM AUTHOR]

Maize functional genomics research and genetic improvement strategies have been greatly accelerated and refined through the development and utilization of genetic transformation systems. Maize transformation is a composite technology based on decades’ efforts in optimizing multiple factors involving microbiology and physical/biochemical DNA delivery, as well as cellular and molecular biology. This review provides a historical reflection on the development of maize transformation technology including the early failures and successful milestones. It also provides a current perspective on the understanding of tissue culture responses and their impact on plant regeneration, the pros and cons of different DNA delivery methods, the identification of a palette of selectable/screenable markers, and most recently the development of growth-stimulating or morphogenic genes to improve efficiencies and extend the range of transformable genotypes. Steady research progress in these interdependent components has been punctuated by benchmark reports celebrating the progress in maize transformation, which invariably relied on a large volume of supporting research that contributed to each step and to the current state of the art. The recent explosive use of CRISPR/Cas9-mediated genome editing has heightened the demand for higher transformation efficiencies, especially for important inbreds, to support increasingly sophisticated and complicated genomic modifications, in a manner that is widely accessible. These trends place an urgent demand on taking maize transformation to the next level, presaging a new generation of improvements on the horizon. Once realized, we anticipate a near-future where readily accessible, genotype-independent maize transformation, together with advanced genomics, genome editing, and accelerated breeding, will contribute to world agriculture and global food security. [ABSTRACT FROM AUTHOR]

Ion channels on cell membrane are molecular targets of more than half peptide neurotoxins from spiders. From Pardosa pseudoannulata , a predatory spider on a range of insect pests, we characterized a peptide neurotoxin PPTX-04 with an insecticidal activity. PPTX-04 showed high toxicity to Nilaparvata lugens , a main prey of P. pseudoannulata , and the toxicity was not affected by the resistance to etofenprox (IUPAC chemical name:1-ethoxy-4-[2-methyl-1-[(3-phenoxyphenyl)methoxy]propan-2-yl]benzene, purity: 99%). On N. lugens voltage-gated sodium channel NlNa v 1 expressed in Xenopus oocytes, PPTX-04 prolonged the channel opening and induced tail currents, which is similar to pyrethroid insecticides. However, PPTX-04 potency on NlNa v 1 was not affected by mutations conferring pyrethroid resistance in insects, which revealed that PPTX-04 and pyrethroids should act on different receptors in NlNa v 1. In contrast, two mutations at the extracellular site 4 significantly reduced PPTX-04 potency, which indicated that PPTX-04 would act on a potential receptor containing the site 4 in NlNa v 1. The result from the molecular docking supported the conclusion that the binding pocket of PPTX-04 in NlNa v 1 should contain the site 4. In summary, PPTX-04 had high insecticidal activity through acting on a distinct receptor site in insect Na v , and was a potential resource to control insect pests and manage resistance to pyrethroids. [Display omitted] • Spider neurotoxin PPTX-04 showed insecticidal activity. • PPTX-04 acted on the extracellular receptor sites of insect Na v. • The receptor site is different from that of pyrethroids. [ABSTRACT FROM AUTHOR]

Efficient utilization of land resources is fundamental for achieving sustainable urban development. Utilizing the urban land use efficiency (ULUE) framework for production-living-ecological (PLE) functions, this study establishes three key indicators to evaluate the sustainable development status of each dimension. The indicator system was applied to 433 Chinese cities to analyze the temporal and spatial changes in urban sustainable development from 2000 to 2020. Research findings reveal significant disparities in sustainable urban development levels across Chinese regions from 2000 to 2020, following a consistent trend: Eastern > Western > Central > Northeast. The ULUE for living and production functions in Chinese cities experienced an obvious decline from 2015 to 2020. This indicates that urban land expansion in most Chinese cities surpassed population growth, accompanied by a noticeable reduction in economic growth rates. Since 2010, the ULUE for ecological function has improved significantly in Eastern region, reflecting a shift in development priorities towards a green approach rooted in ecological conservation principles. However, the ULUE in Northeastern cities has declined, placing this region at a competitive disadvantage due to the dual challenges of declining population and economic recession. Since 2015, urban land expansion in Central Chinese cities has significantly outpaced other regions, resulting in extensive land use, posing challenges to resource planning and management. Smaller cities, in contrast to their larger counterparts, face a lower overall sustainability level and encounter more acute challenges related to population migration and economic transition. The analysis offers valuable insights and policy recommendations to enhance sustainability in developing regions. • Efficient urban land use contributes to sustainable urban development. • Introduce an assessment indicator system for Urban Land Use Efficiency (ULUE). • Uncover spatial and temporal disparities in sustainable urban development. • Examine regional disparities in sustainable development among various Chinese cities. [ABSTRACT FROM AUTHOR]

[Display omitted] • Plastic-free RDF pyrolysis and char combustion were studied in lab and pilot scales. • TG-FTIR shows four pyrolysis stages, with CO 2 , CH 4 , H 2 O, CO, and organics released. • Chars made in lab and pilot scales varied in LHV, elements, and reaction pathway. • The chars had similar proximate composition and combustion properties. • RDF preparation, pyrolysis, and combustion processes were economically feasible. Pyrolysis of refuse derived fuel (RDF) has great potential for energy recovery from municipal solid waste (MSW), while chlorine-related plastics issue was one major barrier for scale up. After screening out plastics, the RDF pyrolysis and char products combustion were evaluated in lab and pilot scales. Thermogravimetry with Fourier-transform infrared spectroscopy results suggest that the main RDF pyrolysis reaction occurred in 190–410 °C, involving decomposition, decarboxylation, demethylation, and dehydration reactions, with CO 2 , CH 4 , H 2 O, CO, and organic compounds as the main gaseous products. Impacts of temperature and residence time on char yield and proximate composition were evaluated in lab, and a lower temperature was favored. The pilot-scale char had a comparable proximate composition to the lab-scale ones, but a lower heating value, lower H/C ratio, higher O/C ratio, which may due to different dominant reaction pathways during pyrolysis: apparent demethanation versus dehydration. Thermogravimetry data infers that the combustion performance of pilot-scale char, including combustion stage, weight loss, and kinetic parameters, were close to chars made in lab. Pilot-scale combustion tests show relief of flue gas pollution after upgrading RDF to char, while particulate matter and heavy metals were still main concerns. Lab- and pilot-scale investigations highlight scale up of plastics-free RDF pyrolysis and combustion as a promising and economic alternative for materials and energy recoveries from MSW. [ABSTRACT FROM AUTHOR]

Microfluidic paper-based analytical devices (μPADs) have developed rapidly in recent years, because of their advantages, such as small sample volume, rapid detection rates, low cost, and portability. Due to these characteristics, they can be used for in vitro diagnostics in the laboratory, or in the field, for a variety of applications, including food evaluation, disease screening, environmental monitoring, and drug testing. This review will present various detection methods employed by μPADs and their respective applications for the detection of target analytes. These include colorimetry, electrochemistry, chemiluminescence (CL), electrochemiluminescence (ECL), and fluorescence-based methodologies. At the same time, the choice of labeling material and the design of microfluidic channels are also important for detection results. The construction of novel nanocomponents and different smart structures of paper-based devices have improved the performance of μPADs and we will also highlight some of these in this manuscript. Additionally, some key challenges and future prospects for the use of μPADs are briefly discussed. [ABSTRACT FROM AUTHOR]

Background. The clinical evidence is conflicted on whether platelet-rich plasma (PRP) therapies have a positive effect on tendon healing and improved functional outcomes. Purpose. To evaluate the potentials of intraoperative injection PRP on the speed and quality of healing in patients undergoing arthroscopic repair for small to medium rotator cuff tears. Methods. A total of 86 patients scheduled for arthroscopic single-row repair of small to medium rotator cuff tears were assigned to undergo either PRP injection (PRP group) or conventional repair (control group). The PRP group (N = 43) consisted of patients who received an intraoperative injection of liquid PRP. The control group (N = 43) consisted of patients who did not receive that treatment. The visual analogue scale (VAS) for pain before treatment and at 1, 14 days, 3, 6, and 24 months after surgery were recorded. The clinical outcomes were assessed by the University of California, Los Angeles (UCLA) and Constant scores before treatment and at 3, 6, and 24 months after surgery and magnetic resonance imaging or ultrasound examination at 24 months. Patient satisfaction and retear rate were also assessed. Results. No statistical differences in baseline characteristics such as age, gender, dominant arm, and tear size were observed between the two groups (P > 0.05). For the PRP group, the mean operation time was 40.22 minutes, and for the control group, the mean operation time was 36.3 minutes. There was a statistically significant difference (P = 0.036). After surgery, all VAS measurements significantly decreased over time until final follow-up in both groups. No significant difference between the 2 groups was found for any VAS pain measurement at any time point except for the VAS at 1 day postoperatively, which was significantly lower in the PRP group (2.39 ± 1.03) than that in the control group (3.21 ± 1.85) (P = 0.014). Analysis of the PRP and control groups demonstrated a statistically significant improvement in UCLA and Constant scores from baseline to the 3-, 6-, and 24-month follow-up assessments (P < 0.05). However, no significant intergroup differences were observed in the clinical scores between the three follow-up time points (P > 0.05). At the 24-month follow-up, patient satisfaction rates reached 95.65% and 93.48% for the PRP and control groups, respectively. The retear rate of the PRP group (2/43, 4.65%) was lower than that of the control group (6/43, 13.95%). Conclusions. Although the pain at 1 day after surgery and the retear rate in the PRP group were significantly lower than those in the control group, the liquid PRP injection did not promote better clinical outcomes at the 2-year follow-up. [ABSTRACT FROM AUTHOR]

Recently, lateral flow assay (LFA) for nucleic acid detection has drawn increasing attention in the point-of-care testing fields. Due to its rapidity, easy implementation, and low equipment requirement, it is well suited for use in rapid diagnosis, food authentication, and environmental monitoring under source-limited conditions. This review will discuss two main research directions of lateral flow nucleic acid tests. The first one is the incorporation of isothermal amplification methods with LFA, which ensures an ultra-high testing sensitivity under non-laboratory conditions. The two most commonly used methodologies will be discussed, namely Loop-mediated Isothermal Amplification (LAMP) and Recombinase Polymerase Amplification (RPA), and some novel methods with special properties will also be introduced. The second research direction is the development of novel labeling materials. It endeavors to increase the sensitivity and quantifiability of LFA testing, where signals can be read and analyzed by portable devices. These methods are compared in terms of limits of detection, detection times, and quantifiabilities. It is anticipated that future research on lateral flow nucleic acid tests will focus on the integration of the whole testing process into a microfluidic system and the combination with molecular diagnostic tools such as clustered regularly interspaced short palindromic repeats to facilitate a rapid and accurate test. [ABSTRACT FROM AUTHOR]

1,2,3‐Trisubstituted donor–acceptor cyclopropenes (DACPs) generated in situ from enoldiazo compounds react with nucleophiles to form α‐substituted succinic acid derivatives in high yields. Initial dirhodium(II) carboxylate catalysis rapidly converts enoldiazo‐acetates or ‐acetamides to DACPs that undergo catalyst‐free Favorskii ring opening with amines, and also with anilines, alcohols, and thiols, when facilitated by catalytic amounts of 4‐dimethylaminopyridine (DMAP). This methodology provides easy access to mixed esters and amides of monosubstituted succinic acids, including derivatives of naturally occurring compounds. It also affords dihydrazide, dihydroxamic acid, and diamide derivatives, as well as α‐substituted tetrahydropyridazine‐3,6‐diones in high yields. Attempts to generate optically enriched DACPs were not successful because their populations having the R and S configurations formed with a chiral dirhodium catalyst are quite similar, and the loss of enantiocontrol likely originates from the DACP ring forming step which is reversible with its intermediate metal carbene. [ABSTRACT FROM AUTHOR]

The next-generation of satellite-based augmentation system (SBAS) will employ a dual-frequency multi-constellation (DFMC) service providing several advantages over the classical SBAS L1 service. In September 2017, a two-year SBAS test-bed was initiated by Australia and New Zealand in preparation for building an operational system. This system includes DFMC SBAS in addition to the legacy SBAS L1 service and real-time precise point positioning (PPP) service over the Asia-Pacific region. In this paper, we focus on the new DFMC SBAS, and first discuss its positioning and integrity monitoring (IM) algorithms. Next, its performance is tested and analyzed using real DFMC SBAS data, restricting focus to LPV-200 in aviation. Based on real SBAS messages from the geostationary (GEO) satellite Inmarsat-4F1, testing was performed first at two known stations with actual GNSS observations, and next at simulated grids covering the entire Asia-Pacific region. A sensitivity analysis is performed, investigating the contribution of the error sources and the impact of changing the satellite mask angle. Experimental results of 12 consecutive days from September 14 to 25, 2018 of the new SBAS products show that the dual-frequency correction (DFC) residual errors have the dominant contribution in the values of the protection levels needed in IM, whereas other error sources such as the airborne receiver errors, the tropospheric and the ionosphere residual errors have secondary impacts. The accuracy of the positions was found to be at the sub-meter to meter level and was always bounded by the protection levels (PLs) at the known stations. The simulated PLs were less than the alert limit of LPV-200 during the test period in most of the areas of interest, indicating the availability of IM using DFMC SBAS in the main areas of the Asia-pacific region. [ABSTRACT FROM AUTHOR]

Part-level representations are essential for robust person re-identification. However, common errors that arise during pedestrian detection frequently result in severe misalignment problems for body parts, which degrade the quality of part representations. Accordingly, to deal with this problem, we propose a novel model named Convolutional Deformable Part Models (CDPM). CDPM works by decoupling the complex part alignment procedure into two easier steps: first, a vertical alignment step detects each body part in the vertical direction, with the help of a multi-task learning model; second, a horizontal refinement step based on attention suppresses the background information around each detected body part. Since these two steps are performed orthogonally and sequentially, the difficulty of part alignment is significantly reduced. In the testing stage, CDPM is able to accurately align flexible body parts without any need for outside information. Extensive experimental results demonstrate the effectiveness of the proposed CDPM for part alignment. Most impressively, CDPM achieves state-of-the-art performance on three large-scale datasets: Market-1501, DukeMTMC-ReID, and CUHK03. [ABSTRACT FROM AUTHOR]

In software-based resolver-to-digital conversion, it is necessary to detect the sinusoidal and cosinusoidal envelopes from the amplitude-modulated resolver signals in advance. The synchronous peak sampling method is usually used. However, the sampling frequency is limited by the excitation frequency in this method, which may lead to large quantization errors in the detected envelopes. To solve this problem, an oversampling synchronous envelope detection method is proposed in this article. First, the resolver signals are sampled at multiple fixed phase angles within each excitation period by synchronous oversampling. Second, the oversampled resolver signals are divided into multiple envelope pairs for normalization and correction. Finally, the calibrated envelope pairs are integrated into a complete pair of sinusoidal and cosinusoidal envelopes of the angular position. Thus, the envelope detection of resolver signals is implemented. Compared with the synchronous peak sampling, the proposed method can effectively reduce the quantization errors of the detected envelopes and the measurement accuracy of the rotor angular position can be further improved. Simulation and experimental results demonstrate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

Paper-based immunoassays are effective methods that employ microfluidic paper-based analytical devices (μPADs) for the rapid, simple, and accurate quantification of analytes in point-of-care diagnosis. In this study, we developed a wax-printed multilayered μPAD for the colorimetric detection of carcinoembryonic antigen (CEA), where the device contained a movable and rotatable detection layer to allow the μPAD to switch the state of the sample solutions, i.e., flowing or storing in the sensing zones. A smartphone with a custom-developed program served as an automated colorimetric reader to capture and analyze images from the μPAD, before calculating and displaying the test results. After optimizing the crucial conditions for the assay, the proposed method exhibited a wide linear dynamic range from 0.5 to 70 ng/mL, with a low CEA detection limit of 0.015 ng/mL. The clinical performance of this method was successfully validated using 50 positive and 40 negative human serum samples, thereby demonstrating the high sensitivity of 98.0% and specificity of 97.5% in the detection of CEA. The proposed method is greatly simplified compared with the cumbersome steps required for traditional immunoassays, but without any loss of accuracy and stability, as well as reducing the time needed to detect CEA. Complex and bulky instruments are replaced with a smartphone. The proposed detection platform could potentially be applied in point-of-care testing. [ABSTRACT FROM AUTHOR]

Cells have evolved molecular chaperones that modulate phase separation and misfolding of amyloidogenic proteins to prevent neurodegenerative diseases. Protein disulfide isomerase (PDI), mainly located at the endoplasmic reticulum and also present in the cytosol, acts as both an enzyme and a molecular chaperone. PDI is observed to be S-nitrosylated in the brain of Alzheimer's disease patients, but the mechanism has remained elusive. We herein report that both wild-type PDI and its quadruple cysteine mutant only having chaperone activity, significantly inhibit pathological phosphorylation and abnormal aggregation of Tau in cells, and significantly decrease the mitochondrial damage and Tau cytotoxicity resulting from Tau aberrant aggregation, highlighting the chaperone property of PDI. More importantly, we show that wild-type PDI is selectively recruited by liquid droplets of Tau, which significantly inhibits phase separation and stress granule formation of Tau, whereas S-nitrosylation of PDI abrogates the recruitment and inhibition. These findings demonstrate how phase separation of Tau is physiologically regulated by PDI and how S-nitrosylation of PDI, a perturbation in this regulation, leads to disease. Image 1 • Chaperones are recruited to Tau droplets to inhibit Tau accumulation in the droplets. • Recruitment of chaperones alters the dynamic properties of Tau phase-separated droplets. • S-nitrosylation of PDI abrogates its ability to recognize targeted proteins physically. • S-nitrosylation of PDI abrogates its ability to inhibit the phase separation of Tau. [ABSTRACT FROM AUTHOR]