Miracle-dz/UniFAR-FTUs huggingface dataset:
Control Strategy for Energy-Storage Systems to Smooth Wind Power Fluctuation Based on Interval and Fuzzy Control

The anti-peak shaving characteristics of wind power is an important factor that limits the consumption of wind power. The use of the space-time translation capability of a battery energy storage system is one of the effective means for promoting wind power consumption. Thus, this study proposes an energy storage system smoothing wind power fluctuation control strategy considering wind power consumption to improve the utilization level and economy of an energy storage system. First, the statistical characteristics of wind power are analyzed, and the scene division principle of a multiscenario regulation of an energy storage system is formulated using a correlation coefficient. On this basis, the charging and discharging intervals of the energy storage system in each scenario are determined by comprehensively considering the wind power and the time domain distribution law of load. Then, the control strategy of energy storage system based on inter-zone control is proposed based on the division of charging and discharging intervals. During the charging interval, smoothing the upward fluctuation of wind power or reducing the amount of abandoned wind power is aimed at storing electricity. During the discharge interval, electricity is released to smooth the downward fluctuation of wind power. Finally, considering the real-time state of charge and wind power consumption of the energy storage system, a method of charging and discharging power correction based on fuzzy control is proposed. Taking the actual data of a wind farm as an example, a test is performed on a simulation platform of a combined wind storage power generation system to verify the feasibility and superiority of the proposed control strategy.
Complex-valued convolutional neural network for terahertz image classification

Complex-valued convolutional neural networks (CVCNN) have better performance than real-valued neural networks in the field of terahertz imaging. In this paper, a complex-valued neural network is innovatively applied to terahertz image classification task in a vector network analyzer (VNA) imaging system. The complex-valued CNN (CVCNN) processing framework for terahertz image classification is proposed. Terahertz image datasets are constructed using MINIST handwritten datasets and PSF which was measured from our transmission system. Compared to CNN, CVCNN has a better accuracy rate, and it is significantly less vulnerable to over-fitting. Phase information can be used well at the same time, which is impossible for the CNN. The method of training data generation is given, and some specific implementation details are given. the superiority of the method in this paper is verified by using simulated and measured data obtained from 200Ghz image system.
Subcutaneous transplantation of human embryonic stem cells-derived pituitary organoids

Introduction The pituitary gland, regulating various hormones, is central in the endocrine system. As spontaneous recovery from hypopituitarism is rare, and exogenous-hormone substitution is clumsy, pituitary replacement via regenerative medicine, using pluripotent stem cells, is desirable. We have developed a differentiation method that in mice yields pituitary organoids (POs) derived from human embryonic stem cells (hESC). Efficacy of these POs, transplanted subcutaneously into hypopituitary mice, in reversing hypopituitarism was studied. Methods hESC-derived POs were transplanted into inguinal subcutaneous white adipose tissue (ISWAT) and beneath dorsal skin, a relatively avascular region (AR), of hypophysectomized severe combined immunodeficient (SCID) mice. Pituitary function was evaluated thereafter for ¾ 6mo, assaying basal plasma ACTH and ACTH response to corticotropin-releasing hormone (CRH) stimulation. Histopathologic examination of organoids 150d after transplantation assessed engraftment. Some mice received an inhibitor of vascular endothelial growth factor (VEGF) to permit assessment of how angiogenesis contributed to subcutaneous engraftment. Results During follow-up, both basal and CRH-stimulated plasma ACTH levels were significantly higher in the ISWAT group (p < 0.001 – 0.05 and 0.001 – 0.005, respectively) than in a sham-operated group. ACTH secretion also was higher in the ISWAT group than in the AR group. Histopathologic study found ACTH-producing human pituitary-cell clusters in both groups of allografts, which had acquired a microvasculature. POs qPCR showed expression of angiogenetic factors. Plasma ACTH levels decreased with VEGF-inhibitor administration. Conclusions Subcutaneous transplantation of hESC-derived POs into hypopituitary SCID mice efficaciously renders recipients ACTH-sufficient.
Advances in transcorneal electrical stimulation: From the eye to the brain

The mammalian brain is reported to contain about 106–109 neurons linked together to form complex networks. Physiologically, the neuronal networks interact in a rhythmic oscillatory pattern to coordinate the brain’s functions. Neuromodulation covers a broad range of techniques that can alter neuronal network activity through the targeted delivery of electrical or chemical stimuli. Neuromodulation can be used to potentially treat medical conditions and can serve as a research tool for studying neural functions. Typically, the main method of neuromodulation is to electrically stimulate specific structures in both the central and peripheral nervous systems via surgically implanted electrodes. Therefore, it is imperative to explore novel and safer methods for altering neuronal network activity. Transcorneal electrical stimulation (TES) has rapidly emerged as a non-invasive neuromodulatory technique that can exert beneficial effects on the brain through the eyes. There is substantial evidence to show that TES can change the brain oscillations in rodents. Moreover, the molecular data clearly shows that TES can also activate non-visual brain regions. In this review, we first summarize the use of TES in the retina and then discuss its effects in the brain through the eye-brain connection. We then comprehensively review the substantial evidence from electrophysiological, behavioral, and molecular studies on the role of TES on modulating neurons in the brain. Lastly, we discuss the implications and possible future directions of the research on TES as a non-invasive tool for neuromodulation of the brain via directly stimulating the mammalian eye.
Preparation of biomass water‐soluble carbon quantum dots and their application in Cr (VI) ions detection

To quickly and quantitatively detect the concentration of harmful Cr6+ in food and packaging, biomass nitrogen‐doped blue fluorescent carbon quantum dots (CQDs) were synthesized by a one‐step hydrothermal method using longan peel. The synthesized biomass CQDs are spherical, and the particle size is distributed between 1 and 6 nm. There are functional groups such as carboxyl, hydroxyl and amino groups on the surface of the CQDs, which promotes the excellent water dispersibility of the CQDs. CQDs have good fluorescence stability in salt solutions, different pH environments and long‐term storage. A fluorescence sensor for detecting Cr6+ was constructed, based on the specific quenching effect of Cr6+ on the fluorescence of CQDs. There is a good linear relationship between the fluorescence quenching rate of the fluorescence sensor and the Cr6+ concentration of the detected sample. The sensor has a linear range of 20–200 μM and a detection limit of 1.4 μM. In addition, the CQDs fluorescence sensor has an ideal recovery rate in the actual water sample spiked with Cr6+. This research innovatively combined longan and hydrothermal method to prepare a quantitative, fast and wide detection limit Cr6+ sensor.
Hexabundles: first results

New multi-core imaging fibre bundles - hexabundles - being developed at the University of Sydney will provide simultaneous integral field spectroscopy for hundreds of celestial sources across a wide angular field. These are a natural progression from the use of single fibres in existing galaxy surveys. Hexabundles will allow us to address fundamental questions in astronomy without the biases introduced by a fixed entrance aperture. We have begun to consider instrument concepts that exploit hundreds of hexabundles over the widest possible field of view. To this end, we have characterised the performance of a 61-core fully fused hexabundle and 5 unfused bundles with 7 cores each. All fibres in bundles have 100 micron cores. In the fused bundle, the cores are distorted from a circular shape in order to achieve a higher fill fraction. The unfused bundles have circular cores and five different cladding thicknesses which affect the fill fraction. We compare the optical performance of all 6 bundles and find that the advantage of smaller interstitial holes (higher fill fraction) is outweighed by the increase in FRD, crosstalk and the poor optical performance caused by the deformation of the fibre cores. Uniformly high throughput and low cross-talk are essential for imaging faint astronomical targets with sufficient resolution to disentangle the dynamical structure. Devices already under development will have 100-200 unfused cores, although larger formats are feasible. The light-weight packaging of hexabundles is sufficiently flexible to allow existing robotic positioners to make use of them.
Surface properties of icy transneptunian objects from the second ESO large program

Abstract An analysis is well underway for the data from the second Large Program (PI M. A. Barucci) dedicated to investigating the surface properties of Centaurs and Transneptunian objects through spectroscopic, photometric color, lightcurve, and polarimetric observations using the European Southern Observatory (ESO) Very Large Telescope (VLT) and New Technology Telescope (NTT). 45 objects were observed between 2006 and 2008, allowing a broad characterization of at least the largest and brightest objects among this population. In this report, we summarize all our findings, but focus on the analysis of the presence of ices such as methane, ethane, nitrogen, ammonia hydrate, methanol, and particularly H2O which is so abundant throughout the outer solar system.
Comparison of brightness temperatures observed from ground-based microwave radiometers during TUC

The agreement of two ground-based microwave radiometers during the Temperature, hUmidity, and Cloud (TUC) profiling campaign has been evaluated in terms of measured brightness temperature. To account effectively the instruments' specifications, we discuss and estimate an equivalent monochromatic frequency, which significantly reduces the bias introduced by ideal monochromatic modelling. The effect of this equivalent monochromatic frequency can reach 0.4 K and thus we recommend its use in further study involving TUC radiometers. This analysis showed agreement within expectations for three of the four selected pairs of channels, although results are strictly valid in a limited range. As a consequence, the derived products are expected to be of the same quality. However, the inconsistency found in the remaining pair is expected to propagate in the retrieved humidity profiles.
Enhancement of ZnO light emission via coupling with localized surface plasmon of Ag island film

Enhancement of the light emission of ZnO films was observed by coupling through localized surface plasmons. By sputtering Ag islands onto ZnO films, their band gap emission coming through the Ag island films was enhanced by threefolds, while the defect emission was quenched. The enhancement was found to be mainly dependent on the sputtering time of the Ag islands, which is related to the island size. Furthermore, the relative spectral position between the ZnO emission band and the localized surface plasmon resonance bands of Ag islands was found to be decisive for the enhancement or quenching of photoluminescence, indicating that the emission intensity of ZnO films can be controlled by the Ag island size and the localized surface plasmon resonance band position.
Assessment of RADARSAT-2 quad-polarization SAR data in rice crop mapping and yield estimation

This paper was to assess the reliability of RADARSAT-2 quad-polarization SAR data in rice mapping and yield estimation. Five scenes of RADARSAT-2 images were acquired in the rice season of 2011 in Jiangsu Province, China. Ground experiments were conducted in accordance with the acquisition dates. For rice mapping, optimal dual-polarization combination was obtained by ratio change detection. The accuracy of rice mapping by HV/HH reaches 79.2% and by VV/HH reaches 84.9%. For rice yield estimation, an improved scheme based on assimilation method has been put forward. ORYZA2000 model was coupled with an empirical rice backscattering model to simulate the dual-polarization ratios. SCE-UA optimization algorithm is employed to determine the optimal set of input parameters during the re-initialization process. As a result, an improved accuracy has been confirmed.
Derivation of aberration coefficients for single-element plane-symmetric reflecting systems using Mathematica

The definition of the generalized optical path function for a grating or mirror with a single plane of symmetry is reviewed. The generalized optical path function is then expanded in a series of wavefront aberration terms using only a few lines of code in the MathematicaTM scientific programming environment. The use of the algebraic capabilities of the MathematicaTM environment allows straightforward calculation of aberration coefficients that would normally require considerable effort if undertaken by paper and pencil. In addition, the derivation can be carried out to higher order aberration terms, limited only by the capabilities of the computer platform used.
The Wastewater Contamination Index: A methodology to assess the risk of wastewater contamination from satellite-derived water quality indicators

One of the major sources of pollution affecting inland and coastal waters is related to poorly treated or untreated wastewater discharge, particularly in urbanized watersheds. The excess of nutrients, organic matter, and pathogens causes an overall deterioration of water quality and impairs valuable ecosystem services. The detection of wastewater pollution is essential for the sustainable management of inland and coastal waters, and remote sensing has the capability of monitoring wastewater contamination at extended spatial scales and repeated frequencies. This study employed satellite-derived water quality indicators and spatiotemporal analysis to assess the risk of wastewater contamination in Conceição Lagoon, a coastal lagoon in Southern Brazil. Using an analytical model, three water quality indicators were derived from Level 2A Sentinel-2 MSI images: the absorption coefficients of chlorophyll-a and detritus combined with coloured dissolved organic matter, and the backscattering coefficient of suspended solids. The temporal standardized anomalies were calculated for each water quality indicator for the period of 2019–2021, and their anomalies during a known outfall event were used to evaluate spatial variation modes. The spatial mode explaining most of the variability was used to estimate weights for the water quality indicators anomalies in a linear transformation that can indicate the risk of wastewater contamination. Results showed that the wastewater spatial mode for this region was characterized by positive anomalies of backscattering coefficient of particulate matter and absorption coefficient of detritus combined with coloured dissolved organic matter, each with a relative importance of 50%. The application of this spatiotemporal analysis was formulated as the Wastewater Contamination Index. With the aid of photographic records, and additional meteorological and water quality data, the results of the index were verified for wastewater outfall events in the study area. The methodology for constructing the proposed Wastewater Contamination Index applies to other locations and can be a valuable tool for operational monitoring of wastewater contamination.
Head related transfer function measurement in reverberant rooms

Head related transfer functions (HRTF) and their corresponding time domain impulse responses have a decisive role into sound localization for humans and, an individualized measured set can improve the localization accuracy and overall quality of a virtual sound placement system. The measurement proves to be difficult in absence of an anechoic chamber and the use of available measured HRTF might not be sufficient for custom setups. This paper describes a fast measurement system for head related impulse responses and the corresponding processing for extracting the HRTF for a listener in normal reverberant rooms. The impulse responses are measured using the exponential sine sweep method as the listener rotates relative to a sound source. The influence of the loudspeaker is measured separately and compensated with a Wiener filter. To simulate the anechoic conditions the head related impulse response is selected only from the direct soundwave part of the measured room impulse response provided that the experimental setup is calibrated appropriately.
A Mendelian Randomization Analysis Investigates Causal Associations between Inflammatory Bowel Diseases and Variable Risk Factors

The question of whether variable risk factors and various nutrients are causally related to inflammatory bowel diseases (IBDs) has remained unanswered so far. Thus, this study investigated whether genetically predicted risk factors and nutrients play a function in the occurrence of inflammatory bowel diseases, including ulcerative colitis (UC), non-infective colitis (NIC), and Crohn’s disease (CD), using Mendelian randomization (MR) analysis. Utilizing the data of genome-wide association studies (GWASs) with 37 exposure factors, we ran Mendelian randomization analyses based on up to 458,109 participants. Univariable and multivariable MR analyses were conducted to determine causal risk factors for IBD diseases. Genetic predisposition to smoking and appendectomy as well as vegetable and fruit intake, breastfeeding, n-3 PUFAs, n-6 PUFAs, vitamin D, total cholesterol, whole-body fat mass, and physical activity were related to the risk of UC (p < 0.05). The effect of lifestyle behaviors on UC was attenuated after correcting for appendectomy. Genetically driven smoking, alcohol consumption, appendectomy, tonsillectomy, blood calcium, tea intake, autoimmune diseases, type 2 diabetes, cesarean delivery, vitamin D deficiency, and antibiotic exposure increased the risk of CD (p < 0.05), while vegetable and fruit intake, breastfeeding, physical activity, blood zinc, and n-3 PUFAs decreased the risk of CD (p < 0.05). Appendectomy, antibiotics, physical activity, blood zinc, n-3 PUFAs, and vegetable fruit intake remained significant predictors in multivariable MR (p < 0.05). Besides smoking, breastfeeding, alcoholic drinks, vegetable and fruit intake, vitamin D, appendectomy, and n-3 PUFAs were associated with NIC (p < 0.05). Smoking, alcoholic drinks, vegetable and fruit intake, vitamin D, appendectomy, and n-3 PUFAs remained significant predictors in multivariable MR (p < 0.05). Our results provide new and comprehensive evidence demonstrating that there are approving causal effects of various risk factors on IBDs. These findings also supply some suggestions for the treatment and prevention of these diseases.
Exact dynamic stiffness matrix for a thin‐walled beam of doubly asymmetric cross‐section filled with shear sensitive material

An exact dynamic stiffness matrix is developed for the flexural motion of a three‐dimensional, bi‐material beam of doubly asymmetric cross‐section. The beam comprises a thin walled outer layer that encloses and works compositely with its shear sensitive core material. The outer layer may have the form of an open or closed section and provides flexural, warping and Saint‐Venant rigidity, while the core material provides Saint‐Venant and shear rigidity. The uniform distribution of mass in the member is accounted for exactly and thus necessitates the solution of a transcendental eigenvalue problem. This is accomplished using the Wittrick–Williams algorithm, which enables the required natural frequencies to be converged upon to any required accuracy with the certain knowledge that none have been missed. Such a formulation enables the powerful modelling features associated with the finite element technique to be utilized when establishing structural models. Three examples are included to validate and illustrate the method. The work also holds considerable potential in its application to the approximate analysis of asymmetric, multi‐storey, three‐dimensional wall‐frame structures. Copyright © 2006 John Wiley & Sons, Ltd.
Investigation of TMz scattering from conducting target buried in two-layered lossy medium with flat surfaces using a decomposition solution

A solution to electromagnetic scattering from a cylindrical object of arbitrary cross-section buried in a lossy-grounded dielectric medium with flat interfaces based on surface equivalence principle and a decomposition technique is developed. A set of electric field integral equations (EFIEs) for the currents on the object and the portion of the surfaces most strongly interacting with the object are obtained, and then the method of moment is used to solve these EFIEs in the frequency domain to obtain the scattered electric field.
Label-free Estimation of Sarcomere Orientation from Brightfield Microscopy Images of Induced Pluripotent Stem Cell Derived Cardiomyocyte Nuclei

Human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs) provide a platform for studying disease models and physiological conditions. Sarcomere structure orientation can be used to determine hiPSC-CM culture maturity. However, novel methods are needed for assessing their structure and cellular function. Brightfield microscopy enables continuous label-free measurement of cell cultures in vitro. Here, we propose evaluating sarcomere organization from the morphology and orientation of nuclei in brightfield images. We used publicly available image dataset consisting of brightfield complemented with stained nuclei and $\alpha$- actinin. We trained a U-Net-based network for segmenting nuclei from brightfield images (IOU of 0.72) and extracted the orientation and aspect ratio of the predicted and stained nuclei. We quantified myofibrillar orientation from $\alpha$ -actinin and determined how it related to nuclei. The analysis revealed correlation between elongated nuclei and the orientation of the surrounding myofibrils. Our results indicate that brightfield data alone can provide estimates of cellular structures without staining. This provides the means to assess structure and maturity from repeated measurements of unstained cells, enabling high-throughput quantification of the in-vitro cardiomyocyte mechanobiology.
Dynamic game model for R&D strategy in high-tech enterprises

In high-tech industries, enterprises must innovate continuously to avoid falling behind their competitors. An inverted U-shaped relationship has proved between R&D and enterprise performance because of the high-risk R&D investment. Therefore, R&D strategies of high-tech enterprises must be made carefully, and capital must be properly allocated to innovation activities, especially when external and competitor information cannot be completely predicted. To analyze the research problem of how high-tech enterprises make R&D decisions, we establish a dynamic game model and introduce a gradient adjustment mechanism as the basis of R&D decision making. After the formulation derivation, we also use numerical simulation methods to verify and discuss the findings. We find that high-tech oligopolies have spontaneous innovation willingness but only in moderate R&D intensity. In addition, we highlight the smoothness of an enterprise’s R&D decision and show that market capacity has a considerable impact on the innovation willingness of high-tech enterprises.