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UDP-glucuronyltransferase 1A1 (UGT1A1) is a member of the Phase II metabolic enzyme family and the only enzyme that can metabolize detoxified bilirubin. Inactivation and very low activity of UGT1A1 in the liver can be fatal or lead to lifelong Gilbert's syndrome (GS) and Crigler-Najjar syndrome (CN). To date, more than one hundred UGT1A1 polymorphisms have been discovered. Although most UGT1A1 polymorphisms are not fatal, which diseases might be associated with low activity UGT1A1 or UGT1A1 polymorphisms? This scientific topic has been studied for more than a hundred years, there are still many uncertainties. Herein, this article will summarize all the possibilities of UGT1A1 gene-related diseases, including GS and CN, neurological disease, hepatobiliary disease, metabolic difficulties, gallstone, cardiovascular disease, Crohn's disease (CD) obesity, diabetes, myelosuppression, leukemia, tumorigenesis, etc., and provide guidance for researchers to conduct in-depth study on UGT1A1 gene-related diseases. In addition, this article not only summarizes the prevention strategies of UGT1A1 gene-related diseases, but also puts forward some insights for sharing.

Due to the limited spatial resolution of hyperspectral sensors, each pixel in hyperspectral image often consists of several components, called endmembers. Hyperspectral unmixing aims at extracting these endmembers and corresponding fractional abundances from the hyperspectral image (HSI) data. With the availability of spectral libraries, semi-supervised unmixing which estimates the abundance from given endmember matrix, have become more and more popular. General semi-supervised methods take advantage of the sparsity constraint on the abundance matrix and consider the pixels as independent trials. However, the spatial information for example the correlation between pixels often cannot be taken into consideration. In this paper, we derive a semi-supervised hyperspectral image unmixing algorithm which handles both spectral and spatial prior efficiently using matrix factorization. The abundance matrix is recast as a multiplication of two variables, in which the spectral and spatial priors are captured respectively. Numerical tests in both simulated and real datasets show that compared to state-of-the-art unmixing algorithms, the proposed spectral-spatial factorization method has lower computation cost, better unmixing results, and is more robust to regularization parameter selection.

BACKGROUND Primary mediastinal leiomyosarcomas are extremely rare. We report a case of leiomyosarcoma around the thoracic and abdominal aorta, mimicking an aortic hematoma, and discuss the diagnostic value of ultrasound. CASE SUMMARY A 63-year-old female was hospitalized for abdominal pain. Initial computed tomography angiography revealed an enhanced mass around the lower thoracic and upper abdominal aorta. Aortic hematoma was strongly suspected, and stents were placed by interventional surgery. About 1 mo postoperatively, the patient was re-hospitalized because of progressive abdominal pain. Ultrasound showed that the mass had a heterogeneous echo. In contrast-enhanced ultrasound, the hyperechoic regions were filled with contrast medium after the aortic region was, indicating that the blood supply was abundant but had no direct connection with the aorta. There was no obvious contrast medium-filling in the hypoechoic area. These findings were similar to those of malignant tumors with liquefaction and necrosis. Positron emission tomography/computed tomography confirmed that the mass had a high metabolic signal similar to that of a malignant tumor. Leiomyosarcoma was confirmed by postoperative pathology. CONCLUSION Symptoms of mediastinal leiomyosarcoma surrounding the aorta may mimic aortic hematoma. Contrast-enhanced ultrasound can provide valuable and unique diagnostic clues.

With the expanded digitalization of manufacturing and product development process, research into the use of immersive technology in smart manufacturing has increased. The use of immersive technology is theorized to increase the productivity of all steps in the product development process, from the start of the concept generation phase to assembling the final product. Many aspects of immersive technology are considered, including techniques for CAD model conversion and rendering, types of VR/AR displays, interaction modalities, as well as its integration with different areas of product development. The purpose of this survey paper is to investigate the potential applications of immersive technology and advantages and potential drawbacks that should be considered when integrating the technology into the workplace. The potential application is broad, and the possibilities are continuing to expand as the technology used becomes more advanced and more affordable for commercial business to implement on a large scale. The technology is currently being utilized in the concept generation and in the design or engineering of new products. Additionally, the immersive technology have great potential to increase the productivity of assembly line workers and of the factory layout/functionality, and could provide a more hands-on form of training, which leads to the conclusion that immersive technology is the step to the future in terms of smart product development strategies to implement for employers.

CT is the most commonly used method to stage esophageal cancer (EC). However, the reported CT T-staging criteria for EC are controversial. To determine and validate the optimal esophageal wall thickness (EWT) threshold on CT to distinguish lesions with different T stages in esophageal squamous cell carcinoma (ESCC) patients. One thousand, one hundred-two consecutive patients with histopathologically confirmed ESCC between July 2014 and April 2020 were retrospectively reviewed. All patients underwent a preoperative CT examination and surgical treatment. The maximal EWT of the lesions on CT was measured. Patients were divided into pT1, pT2, pT3 and pT4 subgroups according to the pathologic stage. We employed the support vector machine, where linear kernels were leveraged to determine the optimal threshold to classify samples with different T stages. 90% of samples from each subgroup were randomly selected as the training set, while the remainder comprised the testing set. The mean EWTs of the pT1, pT2, pT3 and pT4 subgroups were 4.9 ± 2.6 mm, 8.1 ± 2.3 mm, 12.4 ± 3.6 mm, and 18.6 ± 4.4 mm, respectively. Differences in the EWT between the four subgroups or between adjacent subgroups were significant (p

Background Massive hemoptysis due to aspergilloma is a rare but life-threatening complication. Bronchial artery embolization is recommended as a definitive treatment for massive hemoptysis. Polyvinyl alcohol is widely used in bronchial artery embolization. A very small number of studies have reported disrupted polyvinyl alcohol, which may cause ectopic embolism. Case presentation This case highlights an unusual phenomenon in which polyvinyl alcohol fragments appeared on pathological examination in a 61-year-old man, ethnic Han, with massive hemoptysis caused by aspergilloma for whom bronchial artery embolization failed. Lobectomy was carried out successfully. Hematoxylin and eosin stain provides clear images of polyvinyl alcohol fragments, while alpha-smooth muscle cell actin and cluster of differentiation-34 immunohistochemistry revealed their localization in bronchioles. Conclusion Thus far, only two cases of polyvinyl alcohol fragments in the lung have been reported, and the mechanism has not been elucidated. These two cases revealed no counter-indication for the use of polyvinyl alcohol. However, in some cases of off-target embolization causing fatal complications, such as stroke, paraplegia, and myocardial, polyvinyl alcohol fragmentation needs to be taken into consideration.

The spiking neural network (SNN)-based neuromorphic hardware has been extensively studied in dynamic information processing. However, there is still a lack of training algorithms to drive or support the implementation of compact spatio-temporal neuromorphic hardware; and the existing neuromorphic hardware uses excessive on-chip memory to store parameters, which limits its neuron and synapse scale. Here, we introduce a hardware-friendly weight binarized spiking neural network (BSNN) to efficiently recognize the spatio-temporal event-based data. The neuron of the spike response model (SRM) is used in BSNN due to its rich spatio-temporal characteristics. In the training process, a surrogate gradient method is used to replace the derivative of the spike train, and the weights are binarized. Moreover, combined with the spiking characteristics of SNN (i.e., the input/output of SNN and the communications of neurons in SNN are binary spikes), it is possible to replace the hardware-expensive matrix–vector multiplication (MVM) with the hardware-friendly “Signed AND” operation during inference, which is favored for constructing compact neuromorphic hardware. The trained BSNN has competitive recognition accuracies of 99.52% and 62.1%, 97.57%, and 90.35% on the dynamic images dataset N-MNIST and DVS-CIFAR10, dynamic gestures dataset DvsGesture, and dynamic audio dataset N-TIDIGITS18, respectively, which are related to human vision or hearing. The proposed compact SNN training method paves the way for real-time dynamic information processing oriented hardware-saving and power-efficient neuromorphic hardware.

Artificial Intelligence algorithms have shown performance advantages in a wide range of application domains. However, the increasing demand for hardware resources raises challenges for AI accelerator design. To alleviate this issue, the academic community has presented much research. Among these, evaluating the performance of AI algorithms on accelerators is a hot topic. However, such work usually requires a miscellaneous experimental setup configuration, and may involve repetitive tests. Instead of conducting redundant experiments with prior research, in this paper, we present a comprehensive evaluation of AI operators rather than AI algorithms in an easy-to-operate manner. We first explore common AI operators in a variety of AI algorithms with an in-depth analysis. We identify six representative operator categories. Then, we analyze their performance using roofline model. To verify our analysis, we conduct simple evaluation experiments, where several AI operators are evaluated on two NVIDIA GPUs. We observe from the evaluation results that AI operators benefit from low-precision, large-size on-chip cache and high-bandwidth off-chip memory, and sparsity processing. Based on the observations, we propose three optimization opportunities for AI accelerator design, including multiple-precision support, an efficient memory system, and sparsity processing.

An electromagnetic transparent antenna element is proposed for dual-band shared-aperture fifth-generation (5G) MIMO base station antenna array developments. The antenna element that operates in the low-frequency band (LB) of 1.8–2.7 GHz is placed above the aperture of the antenna array that operates in the high-frequency band (HB) of 3.3–3.8 GHz. Because of this antenna array configuration, the antenna elements in the LB have to be transparent to the electromagnetic waves radiated by the HB antenna array. This kind of electromagnetic transparent antenna element allows the HB antenna array working properly in the dual-band shared-aperture antenna array configuration. In this work, the electromagnetic transparent antenna element is inspired by the element of a typical wide-angle bandpass frequency selective surface (FSS). The radiation performance of the electromagnetic transparent antenna element at the LB is realized by properly combining the wide-angle bandpass FSS elements. A dual-band dual-polarized shared-aperture antenna array is then developed to demonstrate the concept and design. The experimental result validates the stable radiation patterns of each antenna element in both LB and HB. It indicates the proposed approach is promising for 5G MIMO base station antenna array developments.

For visual tracking methods based on reinforcement learning, action space determines the ability of exploration, which is crucial to model robustness. However, most trackers adopted simple strategies with action space, which will suffer local optima problem. To address this issue, a novel reinforcement learning based tracker called AEVRNet is proposed with non-convex optimization and effective action space exploration. Firstly, inspired by combinatorial upper confidence bound, we design an adaptive exploration strategy leveraging temporal and spatial knowledge to enhance effective action exploration and jump out of local optima. Secondly, we define the tracking problem as a non-convex problem and incorporate non-convex optimization in stochastic variance reduced gradient as backward propagation of our model, which can converge faster with lower loss. Thirdly, different from existing reinforcement learning based trackers using classification method to train model, we define a regression based action-reward loss function, which is more sensitive to aspects of the target states, e.g., the width and height of the target to further improve robustness. Extensive experiments on six benchmark datasets demonstrate that our proposed AEVRNet achieves favorable performance against the state-of-the-art reinforcement learning based methods.

Along with rapid economic development and aged tendency of populations, women should not only pursue the extension of life span, but also enjoy a healthy life in the postmenopausal and elder stage. It is imperative to conduct menopause management amongst the menopausal women. Healthy lifestyle is the primary content of menopause management. The effectiveness of menopausal hormone therapy (MHT) is well established, but risks associated with MHT remain complex issues. This article reviews the development and current status of menopause management, summarizes the controversial issues about MHT, and provides an outlook for future research of menopause management.

This paper proposes a vertical trapezoidal GaN p‐n diode with a high‐K/low‐K compound dielectric (CD‐TGD) to improve the breakdown voltage (BV). By introducing the compound dielectric structure, a new peak of electric field will be induced in the n‐type GaN drift region of the trapezoidal diode, to make the electric field distribution in the drift‐region more uniform. The key parameters of the CD‐TGD, including the angle of the bevel structure, the doping concentration of drift region, and the size of high‐K/low‐K compound dielectric layers, have been comprehensively investigated by TCAD Silvaco simulation to reveal their impacts on the diode's properties. The breakdown voltage of the optimized structure is boosted from 2780 V for vertical GaN diodes (VGD) to 4360 V for CD‐TGD, which is 56.8% higher than that of VGD. The on‐state resistance of the optimized CD‐TGD is 1.53 mΩ·cm2, yielding a high FOM of 12.4 GW/cm2. What is more, the average breakdown electric field is 2.73 MV/cm, which is much closer to the material limits of GaN.

In this work, we report a spike-timing-dependent plasticity (STDP)-based weight-quantized/binarized online-learning spiking neural network (SNN). The SNN uses bio-plausible integrate-and-fire (IF) neuron and conductance-based synapse as the basic building blocks and realizes online learning by STDP and winner-take-all (WTA) mechanism. Weight quantization/binarization is introduced into the online-learning SNN to reduce storage requirements and improve computing efficiency. After the training process with STDP and weight quantization on the MNIST training set, the quantized SNN with 4-bit weight achieves a recognition accuracy of 93.8% on the MNIST test set, showing little loss compared with the accuracy of the non-quantized 32-bit SNN (94.1%). The accuracy of the binarized SNN slightly decreases to 92.9%, which is cost-effective considering the reduction in the weight storage space by ~ 32 times, and the product of input and weight in the binarized SNN can be realized by computationally cheap 1-bit “AND” operation. The proposed weight quantization/binarization online-learning scheme can largely save hardware costs. The area of the quantized (8-bit and 4-bit) and binarized (1-bit) SNN-based hardware is evaluated to be 448,524, 179,263, and 162,129 μm2, respectively, which is much smaller than their non-quantized 32-bit competitor (area of ~ 5.862 × 108 μm2). The hardware resource evaluation also provides a guide to make a trade-off between computational cost and performance. Moreover, the quantized/binarized STDP training method can be further extended to train various types of SNNs. In this regard, a hybrid STDP SNN and a hybrid STDP convolutional SNN, which are trained by combining unsupervised quantized/binarized STDP and supervised backpropagation (BP) training methods, achieve high accuracy in facial expression recognition scenarios.

Objective To compare the clinical effects of cervical decompression first, lumbar decompression first, or simultaneous decompression of both lesions in the treatment of tandem spinal stenosis (TSS). Methods This is a retrospective analysis. From January 2013 to December 2018, 51 TSS patients underwent our surgery and postoperative investigation. Among the 51 subjects, 27 females and 24 males, aged 49–77 years with an average age of 66.3 ± 6.8, were selected. According to the different operation sequences, all patients were divided into three groups. In simultaneous operation group, five patients underwent cervical and lumbar vertebrae surgery at the same time. In first cervical surgery group, 28 patients underwent cervical vertebra surgery first, followed by lumbar spine surgery after a period of recovery. And in first lumbar surgery group, 18 patients underwent lumbar vertebrae surgery first. The choice for neck surgery is posterior cervical single‐door vertebroplasty, the surgery of lumber is plate excision and decompression needle‐rod system internal fixation. The outcome measures are visual analogue scale (VAS), Japanese Orthopaedic Association cervical (JOA‐C) and lumbar (JOA‐L) scores, which were assessed at 3 months and 1 year after the operation by telephone interview. In addition, operative time, estimated blood loss, and hospital stay were also recorded. Results All the patients in the study had surgery performed successfully by the same group of orthopaedic surgeons. The preoperative VAS scores of simultaneous operation group, first cervical surgery group, and first lumbar surgery group were 8.00 ± 1.00, 8.36 ± 0.68, and 8.17 ± 0.71 (P > 0.05). The preoperative JOA‐C scores were 7.00 ± 2.35, 6.54 ± 1.53, and 7.83 ± 1.04 (P 0.05), and the JOA‐L improvement rates were 80.04% ± 3.35%, 81.65% ± 3.74%, and 80.21% ± 4.76% (P > 0.05). The difference among them was not statistically significant. In addition, operation time (OP), blood loss (BL), and hospital stay (HS) in the simultaneous operation group were 245.00 ± 5.00 min, 480.00 ± 27.39 mL, and 16.60 ± 0.55 days, respectively. While those parameters in the first cervical surgery group were 342.50 ± 18.18 min, 528.21 ± 43.97 mL, and 22.75 ± 2.15 days, and in the first lumbar surgery group they were 346.11 ± 24.77 min, 519.44 ± 43.99 mL, and 22.89 ± 1.64 days. The average blood loss in simultaneous operation group was less (P > 0.05); meanwhile, the operation time and hospital stay time were significantly shorter in the simultaneous operation group than in the first cervical surgery group and first lumbar surgery group (P, The term “tandem spinal stenosis” (TSS) refers to spinal canal diameter narrowing in at least two distinct regions of the spine, often in the cervical and lumbar spine. The purpose of surgical treatment is to relieve the pain of patients and maintain stability. Under the condition of ensuring the quality of surgery, both the one‐stage operation and the staged operation according to the patients' own conditions can finally achieve good results.

This paper examines how investment in intellectual capital (IC) elements by textile and apparel companies improves firm performance measured in terms of profitability, market value, and productivity. The modified value-added intellectual coefficient (MVAIC) model is applied to measure IC. Using a panel of 35 Chinese textile and apparel companies for a six-year period (2013–2018), the results show that physical and human capitals are the strong factors that contribute to firm performance. In addition, relational capital negatively influences profitability and market value, and structural capital and innovation capital have a negative impact on employee productivity. We also find that the MVAIC model performs better in measuring IC than the original value-added intellectual coefficient (VAIC) model. This paper can provide some insights for corporate managers to enhance firm performance and gain competitive advantage by proper utilization of IC in traditional industries.

Due to massive thread-level parallelism, GPUs have become an attractive platform for accelerating large-scale data parallel computations, such as graph processing. However, achieving high performance for graph processing with GPUs is non-trivial. Processing graphs on GPUs introduces several problems, such as load imbalance, low utilization of hardware unit, and memory divergence. Although previous work has proposed several software strategies to optimize graph processing on GPUs, there are several issues beyond the capability of software techniques to address. In this article, we present GraphPEG, a graph processing engine for efficient graph processing on GPUs. Inspired by the observation that many graph algorithms have a common pattern on graph traversal, GraphPEG improves the performance of graph processing by coupling automatic edge gathering with fine-grain work distribution. GraphPEG can also adapt to various input graph datasets and simplify the software design of graph processing with hardware-assisted graph traversal. Simulation results show that, in comparison with two representative highly efficient GPU graph processing software framework Gunrock and SEP-Graph, GraphPEG improves graph processing throughput by 2.8× and 2.5× on average, and up to 7.3× and 7.0× for six graph algorithm benchmarks on six graph datasets, with marginal hardware cost.

Long noncoding RNA (lncRNA) Cancer Susceptibility 2 (CASC2) has been proved to contribute to the development of cancers. However, the mechanism behind the action of CASC2 in thyroid cancer is not quite clear. We demonstrated that CASC2 was downregulated in thyroid cancer. We noted that CASC2 overexpression restrained the growth, migration, and invasion of thyroid cancer cells, whereas CASC2 depletion caused opposite trends. Bioinformatics analysis predicted that hypoxia inducible factor 1 subunit alpha inhibitor (FIH‐1) was potentially targeted by miR‐18a‐5p, which was confirmed by luciferase reporter assay. Upregulation of FIH‐1 abrogated the promotive effect of miR‐18a‐5p on the growth and invasion of thyroid cancer cells. In addition, CASC2 serves as a competing endogenous RNA (ceRNA) and a ''sponge'' for miR‐18a‐5p, thereby regulating the expression of FIH‐1. These data elucidated the CASC2/miR‐18a‐5p ceRNA network in thyroid cancer pathogenesis.

BACKGROUND: Sternal fracture can result from multiple types of severe chest trauma and carries significant risk. Surgical fixation is an effective method for sternal fracture. METHODS: The clinical data of patients with sternal fractures who presented to our hospital between August 2016 and July 2019 were collected. The 42 patients were divided into three groups, with 15 patients treated by internal fixation with NI-TI memory alloy embracing fixator, 10 patients receiving steel wire fixation, and 17 who received non-surgical treatment and who was designated as a control (conservative) group. Differences in clinical indices included the duration of surgery, blood loss, hospitalization, wound healing, hospitalization expenses, VAS scores, and patient satisfaction scores between the three groups was compared. The analysis of variance and t-test were used for quantitative variables, which were approximately normally distributed. Dichotomous data were compared used Pearson χ(2) or Fisher’s exact test, and a P value less than 0.05 was considered as statistically significant. RESULTS: All patients were cured, and there were no significant differences in general clinical features between the three groups (P>0.05). Thoracic deformity in the surgical groups was corrected anatomically and received better pain scores, while patients in the NI-TI memory alloy embracing fixator group showed advantages of bleeding and patient satisfaction (P

Background Intra-cytoplasmic sperm injection (ICSI) is used in assisted reproductive technology (ART) laboratories. However, there is no consensus regarding the precise time intervals within ICSI cycles [oocyte pick up (OPU), oocyte denudation (DN), and ICSI], and results are inconsistent and contradictory. Thus, we aim to evaluate whether there is a concordance regarding the time intervals used in different laboratories and a concrete time that gives better laboratory and reproductive results. Methods A systematic review of the literature until July 25, 2020, was performed with the keywords “Oocyte Denudation/Denudation/Oocyte,” “Intra-cytoplasmic Sperm Injection/ICSI,” “Oocyte/Oocyte maturation/ cumulus,” and “Cumulus removal/ removal.” Articles and abstracts in English and involving human subjects referring to the effects of oocyte DN time on embryo development and clinical outcomes were included. Results Of the 294 evaluated articles, 24 (including 20 full articles and 4 abstracts) were included in this review. Eighteen studies analysed the effect of OPU-DN time on embryo development and clinical outcomes. Most of these studies concluded that OPU-DN time did not influence ICSI outcomes, but some suggested that oocytes should be incubated for a short time before DN to improve oocyte maturity and enhance ICSI outcomes. In addition to reports on positive or negligible effects, adverse effects were reported in 12 studies on DN-ICSI timing. Neither OPU-DN nor DN-ICSI time could improve live birth rate. Conclusions Oocytes should be pre-incubated for a short duration (preferably

A VCO-based(Voltage Controlled Oscillator) temperature sensor with multi-threshold MOSFET based sensing element is proposed. The proposed temperature sensor converts temperature variation into frequency and then into digital readings. In the proposed temperature sensor, the ratio of two reference currents, generated by P-MOSFETs operated in sub-threshold region and with different channel doping concentration, is used to sense the variation of temperature and achieves a $3\sigma $ inaccuracy of ±0.06°C after first-order poly-fit with systematic nonlinearity removal. The ratio of currents is then transformed into difference of the output frequencies of two identical CMOS-thyristor based VCOs, both of which are optimized to alleviate the impact of charge sharing and charge injection on the precision of the temperature sensor. In this way, there is no need for generating an external reference clock. The prototype is fabricated in a 130nm CMOS process and achieves an inaccuracy of +0.44°C/−0.4°C. The proposed sensor achieves a resolution of 0.1°C and a resolution FoM of 0.12nJ $\cdot \text{K}^{2}$ . The prototype occupies an area of 0.07mm2.

An efficient modes analyses technique for isotropic or anisotropic material filled 2D metallic waveguides with an arbitrary contour using the multifilament current method (MFCM) is presented. The ideal PEC boundary of a 2D waveguide is replaced by a shell with a high conductivity and electrical small thickness. The thin lossy shell not only can well approximate the boundary condition of PEC waveguide wall therefore without altering the initial waveguide modes, but also can let the external excitation penetrate through to excite the inside modes, resulting in a high internal field intensity at the frequency of each mode. In this case, the modes are revealed by the peaks of field intensity responses, and the spurious modes which existed in traditional source‐free modes determination techniques can be completely avoided. Based on this idea, a generalized impedance boundary condition (GIBC) is formulated to represent the lossy waveguide wall and further utilized in the MFCM for simulating the internal field intensity over frequency. Three different configurations of a 2D waveguide are considered. The computed modes are compared with that obtained from commercial software, and an excellent agreement is achieved, yet an competitive advantage on simulation performances is observed by using the proposed technique.

The Cu2O/CuO/SnO2 transparent pn junction film device with Cu2+ self-oxidation transition layer is prepared via a simple thermal oxidation-sputtering method. There, the Cu2O is prepared via a simple sputtering method, the CuO transition layer is prepared via a thermal self-oxidation method on the surface of Cu2O film, and subsequently the SnO2 film is deposited via the sputtering method on the surface of CuO transition layer. As revealed, the as-prepared transparent photovoltaic device exhibits highly transparency of about ~ 75%, obvious photovoltaic conversion enhancement of about ~ 450 folds than unmodified device, decent stability during 10000 s’ cycle, which can be mainly ascribed to the Cu2+ self-oxidation transition layer; there, the appropriate Fermi level and nicer lattice matching can provide a decent channel for charge carrier transport, and the visible light response can improve photo-generated carrier excitation and injection. Additionally, the structure design of Cu2O/CuO/SnO2 can prevent the oxidation of Cu2O to increase photovoltaic stability.

In residue return farming, ploughing and zero‐tillage (syn. no‐till or minimal tillage) rotation may regulate soil physicochemical properties and help reduce erosion and improve productivity; however, the soil physicochemical properties and soil productivity response to ploughing and zero‐tillage rotation remain unclear. This present study evaluates the effects of ploughing and zero‐tillage rotation on soil physicochemical properties and crop productivity based on an 11‐year experiment (2007–2018) on a typical erodible area of the Loess Plateau. Three tillage methods were included: ploughing and zero‐tillage rotation with 1‐year ploughing tillage and 1‐year zero tillage (PZT), ploughing tillage with moldboard plough (PT), and zero tillage (ZT); crop residue was returned in all treatments. After 11 years' we tested, the PZT method showed significantly lower soil water storage in key maize growth stages, less soil organic carbon (SOC) and total nitrogen (N) storage (0–10 cm), and poorer soil structure stability (0–10 cm) when compared with ZT. However, PZT showed significantly higher SOC and N storage (4.5%, 6.5% and 16.3%, 8.6%, respectively) in the 10–20 cm and 20–40 cm soil layers, compared with ZT. In addition, when compared with ZT and PT, PZT significantly decreased soil penetration resistance in 0–10 cm, 10–20 cm, and 20–40 cm soil depths and significantly increased yield of maize by 10.9 and 7.8%, respectively, and of wheat by 11.2 and 9.8%, respectively. This study highlights that combining ploughing and zero tillage with return of crop residue changed soil physicochemical properties and can provide an effective method to improve soil productivity in an erodible field.

Globally, the rise in prevalence of obesity and metabolic syndrome as a whole has been linked to increased access to processed foods, such as refined sugars and saturated fats. Consequently, nonalcoholic fatty liver disease (NAFLD) is on the rise in both developed and developing nations. However, much is still unknown on the NAFLD phenotype with regards to the effect of ethnic diversity. Despite similarities in dietary habits, it appears that certain ethnicities are more protected against NAFLD than others. However, manifestations of the same genetic polymorphisms in different groups of people increase those individuals’ predisposition to NAFLD. Diets from different regions have been associated with a lower prevalence of NAFLD and have even been linked to regression of hepatic steatosis. Socioeconomic variations amongst different regions of the world also contribute to NAFLD prevalence and associated complications. Thus, a thorough understanding of ethnic variability in NAFLD is essential to tailoring treatment recommendations to patients of different backgrounds.

Hot spring tourism is a tourism product based on experiencing the culture of hot spring baths. Unlike conventional tourism products, it offers multiple aspects such as cultural experience and physical and mental relaxation. It has attracted increasing attention as it meets the high demand of tourists for physical and mental well-being due to the stressful and competitive lifestyle in the modern society. The fundamental value of spring tourism lies in its influence on aspects such as health care and disease treatment. To provide a comprehensive understanding of the health values of hot spring tourism, this paper has reviewed the effects of hot spring on human health from the perspectives of heat and trace its elements and functions such as bathing. This paper aims to deepen the understanding of the relationship between hot spring tourism and human health, thereby providing a theoretical reference for the future development of hot spring tourism.

Using microdata from China Family Panel Studies (CFPS), this article studies the financial literacy of retired Chinese residents and their asset allocation. This study found that despite numerous r...

This paper reports a facile one-step reaction method to prepare rGo/Co hybrids with super-tiny Co nanocrystals coating on reduced graphene oxide, the rGo/Co hybrids have excellent electromagnetic wave absorption ability because of its good impedance matching and attenuation properties. The crystal structure, microtopography, and magnetic property of rGOs/Co hybrids were characterized by X-ray diffraction, transmission electron microscope, and vibrating sample magnetometer, respectively. Electromagnetic parameters were measured by vector network analyzer in the frequency range of 1–18 GHz using a coaxial line method. The rGOs can serve as perfect supports for dense coating of Co nanocrystals with an average size of 3.87 nm. Compared with pure rGOs and Co NPs, the rGO/Co hybrids exhibit excellent electromagnetic wave absorption properties with an optimal reflection loss (RL) value reaching up to − 52.73 dB at 14.34 GHz and a broad effective bandwidth (RL values lower than − 10 dB) of 6.2 GHz (11.8 to 18 GHz) at a thin thickness of 2.1 mm only. This work provides an efficient process to prepare a micro-nano composite absorber with strong and broadband electromagnetic wave absorption.

Serotonin (5-HT) and inflammation are 2 major hypotheses in schizophrenia (SZ) pathogenesis, both of which involve platelets. However, the association between platelet and SZ has not been well studied. The aim of this study was to evaluate changes of platelet count (PLT), mean platelet volume (MPV), platelet-large cell ratio (P-LCR), platelet distribution width (PDW), and plateletcrit (PCT) in patients with first-episode schizophrenia (FES). Meanwhile, 3 inflammation markers, including neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and monocyte-lymphocyte ratio (MLR), were evaluated. Complete blood count of 106 FES patients, 82 first-episode depression (FED) patients, and 120 healthy controls (HCs) were compared. In addition, PLR, NLR, and MLR were calculated and compared among 3 groups. Our data suggested that PLT, MPV, P-LCR, PDW, PCT, NLR, PLR, and MLR in FES patients were significantly increased than those in the HCs (

Aims/Introduction Excessive dietary salt or low potassium intakes are strongly correlated with insulin resistance (IR) and type 2 diabetes mellitus. In epidemiological and experimental studies, increased serum retinol‐binding protein 4 (RBP4) contributes to the pathogenesis of type 2 diabetes mellitus. Herein, we hypothesized that RBP4 might be an adipocyte‐derived “signal” that plays the crucial role in salt‐related insulin resistance or type 2 diabetes mellitus. This study aimed to assess whether salt consumption and potassium supplementation influence serum RBP4 levels in healthy individuals. Materials and Methods A total of 42 participants (aged 25–50 years) in a rural area of Northern China were successively provided normal (3 days at baseline), low‐salt (7 days; 3 g/day NaCl) and high‐salt (7 days; 18 g/day) diets, and a high‐salt diet with potassium additive (7 days; 18 g/day NaCl and 4.5 g/day KCl). Urinary sodium and potassium were measured to ensure compliance to dietary intervention. Then, RBP4 levels were evaluated by enzyme‐linked immunosorbent assay. Results High salt intake significantly raised serum RBP4 levels in healthy participants (17.5 ± 0.68 vs 28.6 ± 1.02 µg/mL). This phenomenon was abrogated by potassium supplementation (28.6 ± 1.02 vs 17.6 ± 0.88 µg/mL). In addition, RBP4 levels presented positive (r = 0.528, P, Excess dietary salt and low potassium intake are strongly correlated with insulin resistance or type 2 diabetes mellitus. Retinol‐binding protein 4, termed “adipokines”, is associated with insulin resistance or type 2 diabetes mellitus. Our study found salt loading can enhance the production of circulating retinol‐binding protein 4; inversely, potassium supplementation can blunt the effects of excessive retinol‐binding protein 4.

Menopausal symptoms (or climacteric syndrome) refer to a series of symptoms that occur during the perimenopausal and early postmenopausal period. About 80% of women will have various degrees of menopausal symptoms, and most of them need associated treatment. Asian women are more inclined to choose traditional Chinese medicine (TCM) in terms of therapeutic method, and menopausal hormone therapy has low acceptance because the women have been misinformed about the side effects of hormones. Therefore, TCM is used for menopausal symptoms in women in most Asian countries, including China, Japan, Vietnam, and South Korea. In the basic theory of TCM, the menopause is classified as the Kidney deficiency and imbalance of Yin and Yang; therefore, the treatment methods in either Chinese patent medicine or Chinese herbal medicine are aimed at supplementing the Kidney function and rebalancing Yin and Yang. It is believed that TCM treatment is suitable for patients with mild or moderate menopausal symptoms. The incidence rate of adverse reactions in terms of breast tenderness and irregular vaginal bleeding is lower than that of hormone therapy. However, there are few randomized, double-blind, placebo-controlled studies on TCM treatment of menopausal syndrome. Future studies should be undertaken to confirm its merits.

Endometriosis is the most common cause of secondary dysmenorrhea among adolescents. Data on postoperative symptoms of the disease in adolescents are limited. In this study we aimed to describe the clinical characteristics and postoperative symptoms of adolescent endometriosis in our center.Retrospective cohort study.Tertiary care institution.Eighty-five adolescents with surgically confirmed endometriosis, age younger than 19 years, were included.None.Clinical characteristics including demographic factors, pelvic symptoms, and changes of pelvic pain after surgery.Of 11,236 patients with endometriosis who received surgical treatment between January 2008 and January 2018 in our department, 85 adolescents (85/11,236; 0.76%) were included. The mean age at the time of surgery was 16.3 (±2.4) years and pelvic pain was the main symptoms which occurred in 73/85 (85.9%). Forty-four of the 85 patients (51.8%) had associated genital malformations. The patients with genital malformations tended to present with a younger age at the time of surgery (15.1 ± 2.4 vs 17.6 ± 1.7 years; P .001) and a shorter duration of symptoms to time of surgery (1.5 ± 1.3 vs 2.3 ± 2.1 years; P = .033). The median follow-up time was 56 months (range, 24-140 months) after surgery, and the pelvic pain had disappeared in 41.7% of patients, improved in 38.3% of patients, and had no change or worsened in 20.0% patients.Pelvic pain was the main symptom in adolescents with endometriosis and was greatly improved after surgery. It should also be noted that genital malformation might be an important factor in younger adolescents with endometriosis.

In recent years, the weight binarized neural network (BNN) technology has made great progress. However, neural networks with binarized inputs and binarized weights suffer from low accuracy in pattern recognition or inefficiency in hardware implementation. This work proposes a spatio-temporal binary neural network (STBNN) to solve this problem. STBNN has binary network input/output, binary neuron input/output, and binarized weights, and it integrates the computationally expensive batch normalization (BN) operation widely used in previous BNNs into the neuron threshold. STBNN can largely save computing resources and storage space while maintaining high accuracy (e.g., 98.0% on the MNIST test set). Using binary input (0 or 1) and binarized weight (±1), the product of input and weight can be realized by a 1-bit Signed AND operation instead of multiplication operation in hardware implementation, thus significantly reducing computing resources, memory requirements, and power consumption. The results show that compared with a 32-bit multi-layer perceptron (MLP)-based hardware design, the STBNN-based hardware design typically reduces these three indicators by 84.2%, 96.4%, and 96.7%, respectively. This work provides an effective method to construct hardware-friendly neural network models and a guide for designing an extremely hardware-saving neural network processor.

There were few studies to examine the associations of food preferences and obesity patterns with the incident mild cognitive impairment (MCI). Therefore, this study aimed to examine the associations of health behaviors, food preferences, and with the incidence of MCI.All participants aged ≥ 55 years were potential eligible. The types of health behaviors and food preferences were recorded using the valid questionnaire. The obesity patterns were defined as follows:G-/A-, G+/A- or G-/A+, and G+/A+. The cognition tests included immediate and delayed recall, counting backward from 20, and serial 7 subtraction. The total cognitive score ranged from 0 to 27. Subjects with a score7 were considered as MCI.There were 8236 subjects included in this study. Martial arts, ping pong, and reading or writing were associated with the lower incident MCI (P = 0.039, 0.006, and 0.016, respectively). However, TV or computer usage was associated with the higher incident MCI (P = 0.029; HR: 1.455; and HR 95% CI: 1.040- 2.036). Fast foods, soft/sugared drinks, and salty snack foods increased the incident MCI (P0.001, = 0.032, and 0.002, respectively). G+/A- or G-/A+ and G+/A+ were associated with the lower incident MCI (P = 0.018 and0.001, respectively).The basic mechanisms of health behaviors, food preferences, and obesity patterns on the risk of MCI were not fully explained.Reading or writing and G+/A+ were associated with the lower incident MCI. However, TV or computer usage and fast foods were associated with the higher incident MCI.

Background Pulpitis is a common dental disease characterized by sustained inflammation and impaired pulp self-repair. Mesenchymal stem cell-based minimally invasive vital pulp therapy (MSC-miVPT) is a potential treatment method, but its application is limited by the difficulty in acquiring MSCs. We recently revealed the immunomodulatory effects of rat dental follicle stem cells (rDFSCs) on acute lung injury. The present study focused on the paracrine effects of rDFSCs on the inflammation and regeneration of rat injured dental pulp to detect whether DFSCs are a potential candidate for MSC-miVPT. Methods Conditioned medium from rDFSCs (rDFSC-CM) was applied to lipopolysaccharide (LPS)-induced inflammatory rat dental pulp cells (rDPCs). The inflammation and regeneration of rDPCs were detected by RT-qPCR, Western blotting, immunofluorescence staining, Cell Counting Kit-8 (CCK-8) assay, flow cytometry, wound-healing assay, and Masson’s staining. The effects of rDFSC-CM on inflamed rat dental pulp were further evaluated by hematoxylin-eosin and immunohistochemical staining. Results rDFSC-CM downregulated the ERK1/2 and NF-κB signaling pathways, which resulted in suppression of the expression of IL-1β, IL-6, and TNF-α and promotion of the expression of IL-4 and TGF-β, and these findings lead to the attenuation of rDPC inflammation. rDFSC-CM enhanced the in vitro proliferation, migration, and odontogenic differentiation of inflammatory rDPCs and their in vivo ectopic dentinogenesis. Furthermore, rDFSC-CM inhibited inflammatory cell infiltration in rat pulpitis and triggered Runx2 expression in some of the odontoblast-like cells surrounding the injured site, and these effects were conducive to the repair of inflamed dental pulp. Conclusions rDFSC-CM exhibits therapeutic potential by rescuing the regeneration of the inflamed rat dental pulp through an immunomodulatory mechanism, indicating the application prospects of DFSCs in biological regenerative endodontics.

We propose a novel GaN high-breakdown-voltage high-electron-mobility transistor (HB-HEMT) with a p-GaN gate and hybrid AlGaN buffer to improve the breakdown voltage and Baliga’s figure of merit. The hybrid AlGaN buffer is composed of a horizontally arranged AlaGa1−aN zone and an AlbGa1−bN zone, each having different Al compositions a and b. The proposed HB-HEMT is simulated using the Silvaco technology computer-aided design (TCAD) tool ATLAS, considering the polarization model, low-field mobility, high-field mobility, and Selberherr’s impact ionization model to simulate the direct-current (DC), breakdown, and C–V properties of the proposed HB-HEMT. The breakdown voltage of the HB-HEMT is significantly improved by introducing the hybrid AlGaN buffer structure, which can effectively modulate the electric field distributions within the channel and the buffer. A high breakdown voltage (1450 V), a low specific on-state resistance (0.47 mΩ cm2), and a high Baliga’s figure of merit (4.47 GW/cm2) are obtained at the same time with an Lgd (gate-to-drain distance) of 6 µm, a distance from the gate to the AlaGa1−aN/AlbGa1−bN interface of 4 µm, and Al compositions of a = 0.25 and b = 0.1. The simulated C–V results also reveal that the GaN HB-HEMT shows better switching characteristics than the conventional GaN HEMT with a p-GaN gate.

Background One of the most challenging tasks for bladder cancer diagnosis is to histologically differentiate two early stages, non-invasive Ta and superficially invasive T1, the latter of which is associated with a significantly higher risk of disease progression. Indeed, in a considerable number of cases, Ta and T1 tumors look very similar under microscope, making the distinction very difficult even for experienced pathologists. Thus, there is an urgent need for a favoring system based on machine learning (ML) to distinguish between the two stages of bladder cancer. Methods A total of 1177 images of bladder tumor tissues stained by hematoxylin and eosin were collected by pathologists at University of Rochester Medical Center, which included 460 non-invasive (stage Ta) and 717 invasive (stage T1) tumors. Automatic pipelines were developed to extract features for three invasive patterns characteristic to the T1 stage bladder cancer (i.e., desmoplastic reaction, retraction artifact, and abundant pinker cytoplasm), using imaging processing software ImageJ and CellProfiler. Features extracted from the images were analyzed by a suite of machine learning approaches. Results We extracted nearly 700 features from the Ta and T1 tumor images. Unsupervised clustering analysis failed to distinguish hematoxylin and eosin images of Ta vs. T1 tumors. With a reduced set of features, we successfully distinguished 1177 Ta or T1 images with an accuracy of 91–96% by six supervised learning methods. By contrast, convolutional neural network (CNN) models that automatically extract features from images produced an accuracy of 84%, indicating that feature extraction driven by domain knowledge outperforms CNN-based automatic feature extraction. Further analysis revealed that desmoplastic reaction was more important than the other two patterns, and the number and size of nuclei of tumor cells were the most predictive features. Conclusions We provide a ML-empowered, feature-centered, and interpretable diagnostic system to facilitate the accurate staging of Ta and T1 diseases, which has a potential to apply to other types of cancer.

Chronic pain is a major health problem and the effective treatment for chronic pain is still lacking. The recent crisis created by the overuse of opioids for pain treatment has clearly shown the need for non-addictive novel pain medicine. Conventional pain medicines usually inhibit peripheral nociceptive transmission and reduce central transmission, especially pain-related excitatory transmission. For example, both opioids and gabapentin produce analgesic effects by inhibiting the release of excitatory transmitters and reducing neuronal excitability. Here, we will review recent studies of central synaptic plasticity contributing to central sensitization in chronic pain. Neuronal selective adenylyl cyclase subtype 1 (AC1) is proposed to be a key intracellular protein that causes both presynaptic and postsynaptic forms of long-term potentiation (LTP). Inhibiting the activity of AC1 by selective inhibitor NB001 blocks behavioral sensitization and injury-related anxiety in animal models of chronic pain. We propose that inhibiting injury-related LTPs will provide new mechanisms for designing novel medicines for the treatment of chronic pain and its related emotional disorders. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13311-020-00927-1) contains supplementary material, which is available to authorized users.

BACKGROUND The integrin β6 gene, which is expressed in epithelial cancer, plays a pivotal role in various aspects of cancer progression. The present research for integrin β6 regulation mainly focuses on the post-transcription and translation related regulation mechanism and its role in tumorigenesis. The mechanisms of how the integrin β6 gene is regulated transcriptionally, and the promoter and transcription factors responsible for basic transcription of integrin β6 gene remain unknown. AIM To clone and characterize the integrin β6 promoter. METHODS Software analysis was used to predict the region of integrin β6 promoter. Luciferase reporter plasmids, which contained the integrin β6 promoter, were constructed. Element deletion analysis was performed to identify the location of core promoter and binding sites for transcription factors. RESULTS The regulatory elements for the transcription of the integrin β6 gene were located between -286 and -85 and contained binding sites for transcription factors such as STAT3 and Ets-1. CONCLUSION For the first time, we found the region of β6 core promoter and demonstrated the binding sites for transcription factors such as Ets-1 and STAT3, which are important for integrin β6 promoter transcription activity. These findings are important for investigating the mechanism of integrin β6 activation in cancer progression.

This study aimed to investigate the value of miR-222 in hypertrophic scars (HS). Specific mechanisms were used to measure the level of miR-222, while MTT assay, flow cytometry, western blot and qRT-PCR were employed to detect the relative proteins after fibroblasts were transfected with the miR-222 mimic/inhibitor. The direct target of miR-222 was determined by Dual-Luciferase Reporter assay. Furthermore, qRT-PCR and western blot were employed to detect the matrix metalloproteinase 1 (MMP1) RNA/protein after fibroblasts were transfected with the miR-222 mimic/inhibitor. These results revealed that miR-222 was significantly upregulated in HS fibroblasts. The overexpression of miR-222 enhanced the HS fibroblast proliferation, increased the cell population in the S phase, inhibited the cell apoptosis, enhanced the expression levels of Col1A1, Col3A1 mRNA/protein, proliferating cell nuclear antigen (PCNA), cyclin D1, cyclin E1 and CDK1 and reduced the expression levels of cleaved caspase-3/9. However, the miR-222 suppression triggered opposite effects. Furthermore, miR-222 played a regulatory role in HS by negatively regulating its target gene MMP1 by binding with its 3′-untranslated region. The overexpression of MMP1 reduced the expression levels of PCNA and cyclin D1, but enhanced the expression levels of cleaved caspase-3. Therefore, MiR-222 and MMP1 have potential value for HS. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

To evaluate the efficacy and safety of recombinant human epidermal growth factor (rhEGF) in treating diabetic foot ulcers (DFUs), we conducted both database searches (PubMed, MEDLINE, EMBASE, CENTRAL, and Web of Science) and reference searches for randomised controlled trials from the inception of databases to 30 January 2020. Two reviewers independently scrutinised the trials, extracted data, and assessed the quality of trials. The primary outcome was the proportion of complete healing. The secondary outcomes were mean time to complete healing and adverse events. A subgroup analysis was performed by different administration routes. Statistical analyses were performed in RevMan 5.3. The time to complete healing Kaplan‐Meier curves was pooled in the R software. Of the 156 citations, 9 trials (720 participants) met eligibility criteria and were included. The rhEGF achieved a higher complete healing rate than placebo (OR: 2.79, [95% CI: 1.99, 3.99]). The rhEGF also significantly shorten complete healing time (MD: −14.10 days, [95% CI: −18.03, −10.16]). Subgroup analysis showed that topical application was superior to intralesional injection, but that may be because of different ulcer severity they included. No significant difference was shown in adverse events. Results were coherent with sensitivity analyses. Therefore, rhEGF is an effective and safe treatment for DFUs.

Innovation is the primary driving force of development. Carrying forward the spirit of science, the Department of Chemical Sciences of the National Natural Science Foundation of China (NSFC) launched a series of measures to stimulate management innovation and push science funds reform for chemical sciences in China, which has opened a new chapter of its work during the 13th Five-Year Plan. This article overviews the progress in working style, academic ethics, discipline layout and fund allocation of Department of Chemical Sciences, NSFC and propose future working plans.

The complement system plays an important role in the development of acute coronary syndrome (ACS). Complement C1q is an important initial component of the classical complement pathway and closely related to many chronic inflammatory diseases, including atherosclerosis (AS). We aimed to determine whether there was association between serum complement C1q and the severity of coronary stenosis.320 patients who underwent coronary arteriography (CAG) were stratified into non-ACS group (control group, n = 74), unstable angina group (UA group, n = 197) and acute myocardial infarction group (AMI group, n = 49) according to the severity of coronary stenosis and clinical manifestations. The severity of coronary stenosis was represented in Gensini score, and serum complement C1q level was compared using immunity transmission turbidity among three groups.The level of complement C1q in AMI group was lower significantly than control group and UA group (P0.05), but there was no correlation between serum complement C1q and Gensini score (β=-0.086, P = 0.125). In nitrate-taking patients, serum complement C1q had a negative association with Gensini score (r=-0.275, P = 0.001), and in non-smokers, there was also a negative correlation (β=-0.159, P = 0.036). After calibrating smoking, drinking or statins, the serum complement C1q levels of control group, UA group and AMI group decreased in sequence (P 0.05). Logistic regression analysis showed that the decreasing of serum complement C1q was an unfavorable factor for acute myocardial infarction (OR=0.984, 95 %CI=0.972∼0.997, P = 0.015) and for ACS (OR=0.984, 95 %CI=0.971∼0.984, P = 0.025) in drinking patients. Regrettably, ROC curve suggested that the accuracy in diagnosing coronary atherosclerotic heart disease by serum complement C1q was low (AUC=0.568, 95 %CI= 0.492-0.644, P = 0.076, sensitivity 73.6 %, specificity 58.1 %).Serum complement C1q in ACS patients, in particular AMI patients, showed lower level. This finding suggests further decrease of complement C1q level in ACS patients may be a contributory factor to instability or rupture of atherosclerotic plaques. Combined with other clinical indicators, it can be helpful to predict the risk and severity of coronary stenosis.

The studies on motion and collision of particle in rotating flow field are of great importance for chemical engineering. As the lack of work concerning the single particle, the motion trajectory and collision characteristics of single particle have not been understood. In this article, a coupled discrete element method (DEM) and the computational fluid dynamics (CFD) method model of a single particle in rotating flow field has been developed and verified by experimental data to investigate the collision characteristics of the particle. The effects of rotation speed and particle diameter on particle motion have been investigated by experiment. In The numerical simulation, the particle motion process has been simulated. The effects of particle density and liquid viscosity on collision and particle collision force have been investigated. Furthermore, the effects of wall and rotating fluid on particle rotation have been discussed and analyzed. The results indicate that the rotation speed of flow field and single particle diameter play significant roles in the particle motion behaviors. In the process of particle motion, the particle has collided with the wall at the bottom of the Y-axis of the trajectory. The selection of an appropriate particle material density and Liquid medium is beneficial for the decreasing of the number of collisions in a fully filled rotating flow field. The plastic deformation of wall will not be caused by collision force. In addition, the particle rotation is significant affected by the particle-wall contact, while it is hardly affected by rotating fluid. They thereby can provide a technical basis for prediction and control of particle motion and maintenance of equipment in centrifugal separation and helical transportation.

Background Diabetes patients presenting with ST-segment elevation myocardial infarction (STEMI) scheduled for primary percutaneous coronary intervention (PCI) have an increased risk of contrast induced-acute kidney injury (CI-AKI). The effects of continuous use of metformin on kidney function are still controversial in patients submitted to primary PCI. This study aimed to assess continuous metformin therapy on kidney function in diabetic patients undergoing coronary intervention. Methods Two hundred eighty-four patients with metformin-treated diabetes, who underwent coronary intervention within 24 h for STEMI, were enrolled in the retrospective study. All the patients had estimated glomerular filtration rate (eGFR) of > 30 mL/min/1.73 m2. According to the physicians’ decisions after admission, 119 patients continued metformin treatment after primary PCI, while 165 patients discontinued it > 48 h after the procedure. Serum creatinine was collected at admission and within 48 h post primary PCI to evaluate the incidence of CI-AKI. We performed a multiple logistic regression analysis to examine the determinants of CI-AKI. Results No statistical difference in CI-AKI incidence between the continuous and the discontinuous metformin group (12.6%vs10.3%, p = 0.545). Multivariable logistic regression analysis indicated eGFR ≤60 ml/min/1.73 m2[p = 0.025, OR: 3.131; 95% CI (1.156–8.482)] and contrast volume [p = 0.002, OR: 1.010; 95% CI (1.004–1.016)] were predictive factors of CI-AKI. Metformin therapy was irrelevant to CI-AKI [p = 0.365, OR: 0.698; 95% CI (0.320–1.521)]. No case of lactic acidosis was found in this study. Besides, the study supported discontinuation of metformin was not beneficial for patients’ blood glucose control after admission. Conclusions The study indicated that the metformin continuation after primary PCI for STEMI in diabetic patients with eGFR > 30 ml/min / 1.73 m2 did not increase the risk of CI-AKI.

To evaluate the efficacy and safety of human amniotic membrane (HAM) allograft in treating chronic diabetic foot ulcers (DFUs), a comprehensive search of randomised controlled trials in MEDLINE, EMBASE, PubMed, CENTRAL and Web of Science was conducted to December 7, 2019. Two reviewers independently screened the studies, extracted data, and evaluated the quality of studies. The primary outcome was the proportion of complete healing. The secondary outcomes were mean time to complete healing and adverse events. Statistical analyses were performed using RevMan 5.3. We identified 257 articles, of which 7 articles (465 participants) were included in the meta‐analysis. The proportion of complete wound healing in HAM plus standard of care (SOC) group was 3.88 times as high as that in SOC alone (RR: 3.88 [95% CI: 2.34, 6.44]) at 6 weeks, and 2.01 times at 12 weeks (RR: 2.01 [95%CI: 1.45, 2.77]). The intervention group had a significantly shorter time to complete healing (MD: −30.33 days, [95% CI: −37.95, −22.72]). The number needed to treat within 6 weeks was 2.3 ([95% CI: 1.8, 3.1]). No significant difference was shown in adverse events. Results were consistent in a sensitivity analysis. Hence, HAM plus SOC is effective and safe in treating chronic DFUs.

BACKGROUND AND OBJECTIVES: To quantitatively evaluate diabetic retinopathy (DR) lesions using the authors' validated machine learning algorithms and provide physicians with an automated and precise method to follow the progression of DR and outcome of interventions. PATIENTS AND METHODS: Retrospective analyses were conducted of 3,496 color fundus photography images from 19 patients with clinically significant diabetic macular edema receiving conbercept treatment. The modified seven-field fundus images were obtained at baseline and at the third, sixth, and twelfth month visit, whereas the modified two-field fundus images were obtained at the other monthly visits. The area of intraretinal hemorrhage and hard exudate lesions was traced by the authors' validated algorithms. RESULTS: The mean central foveal thickness at baseline was 459.9 μm ± 127.5 μm. Mean central foveal thickness was 316.5 μm ± 53.0 μm at the twelfth month visit, which decreased by 143.4 μm when compared with the baseline optical coherence tomography. The mean total area of intraretinal hemorrhage in the study eye in seven fields was 5.656 ± 1.176 mm 2 at baseline, 2.438 ± 0.976 mm 2 at the third month, 2.901 ± 0.521 mm 2 at the sixth month, and 2.122 ± 0.582 mm 2 at the end of the study. The area of intraretinal hemorrhage was reduced by 62.49% from baseline to the end of study ( P < .0001). The mean total area of hard exudates in the study eye was 2.549 ± 0.776 mm 2 at baseline, 2.233 ± 0.576 mm 2 at the third month, 2.710 ± 0.621 mm 2 at the sixth month, and 1.473 ± 0.564 mm 2 at the end of the study. The mean total area of hard exudates decreased by 41.1% at the twelfth month ( P < .0001) compared with the first visit. Significant decrease was observed in the area of intraretinal hemorrhage during conbercept treatment. The hard exudates area fluctuated during loading then subsequently decreased at the twelfth month. CONCLUSIONS: The present study quantitatively analyzed the change in the area change of intraretinal hemorrhage and hard exudate lesions during the course of conbercept treatment. The automated system is promising to be a precise and objective method for monitoring the progression of DR and outcomes of interventions in clinical settings. [ Ophthalmic Surg Lasers Imaging Retina. 2020;51:95–100.]

In this work, we propose a novel active-matrix self-capacitance touch panel circuit. Each touch pixel contains only one thin film transistor. The principle of the touch event detection is to detect the voltage change, which is caused by the change of electrode capacitance. The voltage sensing by capacitance sensor is converted to capacitive digital data which compare with default value to judge whether the touch event is touched or not. The simplest structure increase maximizes the sensing pad area and reduce the parasitic effects. An array of 5×5 capacitive sensing active-matrix self-capacitive touch panel based on the proposed solution is designed and implemented. The potential for high precision and high reliability is proven in the measurement results. National Research Foundation (NRF) Published version This work was supported in part by the National Research Foundation of Singapore under Project NRF-CRP13-2014-02, and in part by the Natural Science Foundation of China under Project 61404022, Project 61574027, and Project 61774028.

In this study, we propose an approach to grow Cu2−xS sheet-like nanoshells on Au nanorods with the aid of Ag2S auxiliary templates. The Ag2S semi-shells are first grown on the side-surface of the Au nanorods and then, the Cu2−xS sheet-like nanoshells are selectively grown on the opposite side, which is beneficial for improving the controllability of the growth sites of the Cu2−xS sheet-like nanoshells. The Cu2−xS–CdS p–n junctions grown on Au nanorods are produced by replacing Ag+ with Cd2+ in the as-prepared Au/(Cu2−xS–Ag2S), so that Au/(Cu2−xS–CdS) heterorods with non-central symmetric shells of Cu2−xS–CdS p–n junctions are formed. By carefully adjusting the effective thickness of the Cu2−xS–CdS junctions, the optimized photocatalytic activity of the Au/(Cu2−xS–CdS) heterorods is obtained, and it is about 1.62 and 1.22-fold that of Au/Cu2−xS and Au/CdS, respectively. The improved photocatalytic performance of the Au/(Cu2−xS–CdS) heterorods is attributed to the effective charge carriers at the interfaces of CdS–Au, Cu2−xS–Au and the Cu2−xS–CdS p–n junction. Our findings provide a strategy for the optimal design of plasmon–exciton heterostructures with improved photocatalytic activity.