An ex vivo human precision-cut lung slice platform provides insight into SARS-CoV-2 pathogenesis and antiviral drug efficacy.

Coronavirus disease 2019 (COVID-19) has claimed millions of lives since the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and lung disease appears the primary cause of death in COVID-19 patients. However, the underlying mechanisms of COVID-19 pathogenesis remain elusive, and there is no existing model where human disease can be faithfully recapitulated and conditions for the infection process can be experimentally controlled. Herein we report the establishment of an ex vivo human precision-cut lung slice (hPCLS) platform for studying SARS-CoV-2 pathogenicity and innate immune responses, and for evaluating the efficacy of antiviral drugs against SARS-CoV-2. We show that while SARS-CoV-2 continued to replicate during the course of infection of hPCLS, infectious virus production peaked within 2 days, and rapidly declined thereafter. Although most proinflammatory cytokines examined were induced by SARS-CoV-2 infection, the degree of induction and types of cytokines varied significantly among hPCLS from individual donors. Two cytokines in particular, IP-10 and IL-8, were highly and consistently induced, suggesting a role in the pathogenesis of COVID-19. Histopathological examination revealed focal cytopathic effects late in the infection. Transcriptomic and proteomic analyses identified molecular signatures and cellular pathways that are largely consistent with the progression of COVID-19 in patients. Furthermore, we show that homoharringtonine, a natural plant alkaloid derived from Cephalotoxus fortunei, not only inhibited virus replication but also production of pro-inflammatory cytokines, and thus ameliorated the histopathological changes caused by SARS-CoV-2 infection, demonstrating the usefulness of the hPCLS platform for evaluating antiviral drugs. IMPORTANCE: Here, established an ex vivo human precision-cut lung slice platform for assessing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, viral replication kinetics, innate immune response, disease progression, and antiviral drugs. Using this platform, we identified early induction of specific cytokines, especially IP-10 and IL-8, as potential predictors for severe coronavirus disease 2019 (COVID-19), and uncovered a hitherto unrecognized phenomenon that while infectious virus disappears at late times of infection, viral RNA persists and lung histopathology commences. This finding may have important clinical implications for both acute and post-acute sequelae of COVID-19. This platform recapitulates some of the characteristics of lung disease observed in severe COVID-19 patients and is therefore a useful platform for understanding mechanisms of SARS-CoV-2 pathogenesis and for evaluating the efficacy of antiviral drugs.

Optofluidic tunable filters using ionic liquid electrolyte capacitors.

Tunable optical filter is a basic component for most optical systems. This study reports a unique design of Fabry-Pérot (FP) tunable filter by using an ionic liquid solution. The tunable filter consists of two neighboring regions: capacitor region and FP region. The former is in the form of electrolyte capacitor and the latter remains transparent as an FP cavity for light transmission. When the capacitor region is applied with a bias voltage, it attracts the ions from the FP region and thus reduces the ion concentration of the FP region, resulting in a change of the refractive index and eventually a shift of transmission peak of the FP cavity. Among four electrolyte solutions studied, 1-butyl-3-methylimidazolium hexafluorophosphate (BMIM-PF6) exhibits the best overall performance, such as low insertion loss (3.2 dB), large side mode suppression ratio (23 dB) and high stability (drift <0.2 nm). Additionally, a wavelength tuning of 0.17 nm/V is achieved over 0-17 V, providing a tunable range of 3 nm. This device features low bias voltage, no mechanical movement, easy fabrication and seamless integration with microfluidics systems, and may find potential applications in spectral analyzers and lab-on-a-chip biosensing systems.

Physics-informed and simulation-driven optimization for binary Fourier single-pixel imaging.

Binary patterns are used in fast Fourier single-pixel imaging (FSI) technology to increase the imaging speed at the expense of spatial resolution or image quality. In this Letter, we propose a method for optimizing the image quality-speed trade-off that is informed by physical principles and driven by data from simulations. To compensate for the quantization error induced by binary dithering, convolution kernels are proposed and optimized for both low and high spatial frequencies. The proposed method has been demonstrated to work in both simulation and experiments. Other single-pixel imaging (SPI) techniques may also benefit from this approach.

IQGAP1 promotes chronic pain by regulating the trafficking and sensitization of TRPA1 channels.

TRPA1 channels have been implicated in mechanical and cold hypersensitivity in chronic pain. But how TRPA1 mediates this process is unclear. Here we show that IQ motif containing GTPase activating protein 1 is responsible using a combination of biochemical, molecular, Ca2+ imaging and behavioural approaches. TRPA1 and IQ motif containing GTPase activating protein 1 bind to each other and are highly colocalized in sensory dorsal root ganglia neurons in mice. The expression of IQ motif containing GTPase activating protein 1 but not TRPA1 is increased in chronic inflammatory and neuropathic pain. However, TRPA1 undergoes increased trafficking to the membrane of dorsal root ganglia neurons catalysed by the small GTPase Cdc42 associated with IQ motif containing GTPase activating protein 1, leading to functional sensitization of the channel. Activation of protein kinase A is also sufficient to evoke TRPA1 trafficking and sensitization. All these responses are, however, completely prevented in the absence of IQ motif containing GTPase activating protein 1. Concordantly, deletion of IQ motif containing GTPase activating protein 1 markedly reduces mechanical and cold hypersensitivity in chronic inflammatory and neuropathic pain in mice. IQ motif containing GTPase activating protein 1 thus promotes chronic pain by coupling the trafficking and signalling machineries to TRPA1 channels.

CIRF: Coupled Image Reconstruction and Fusion Strategy for Deep Learning Based Multi-Modal Image Fusion.

Multi-modal medical image fusion (MMIF) is crucial for disease diagnosis and treatment because the images reconstructed from signals collected by different sensors can provide complementary information. In recent years, deep learning (DL) based methods have been widely used in MMIF. However, these methods often adopt a serial fusion strategy without feature decomposition, causing error accumulation and confusion of characteristics across different scales. To address these issues, we have proposed the Coupled Image Reconstruction and Fusion (CIRF) strategy. Our method parallels the image fusion and reconstruction branches which are linked by a common encoder. Firstly, CIRF uses the lightweight encoder to extract base and detail features, respectively, through the Vision Transformer (ViT) and the Convolutional Neural Network (CNN) branches, where the two branches interact to supplement information. Then, two types of features are fused separately via different blocks and finally decoded into fusion results. In the loss function, both the supervised loss from the reconstruction branch and the unsupervised loss from the fusion branch are included. As a whole, CIRF increases its expressivity by adding multi-task learning and feature decomposition. Additionally, we have also explored the impact of image masking on the network's feature extraction ability and validated the generalization capability of the model. Through experiments on three datasets, it has been demonstrated both subjectively and objectively, that the images fused by CIRF exhibit appropriate brightness and smooth edge transition with more competitive evaluation metrics than those fused by several other traditional and DL-based methods.

Structural and Interfacial Manipulation of Multifunctional Skeletons Enabled Shuttling-Free and Dendrite-Free Li-S Full Batteries.

Li-S batteries are regarded as promising devices for energy storage systems owing to high energy density, low cost, and environmental friendliness. However, challenges of polysulfides shuttling in sulfur cathode and dendrite growth of lithium anode severely hinder the practical application. Developing advanced skeletons simultaneously regulating the cathode and anode is significant and challenging. Hence, a novel and scalable strategy combining spray drying and topological nitriding is proposed, and hierarchically assembled rGO hollow microspheres encapsulated highly porous nanospheres consisted of ultrafine Nb4 N5 -Nb2 O5 or Nb4 N5 nanoparticles as multifunctional skeletons for S and Li are designed. In such unique architecture, a 3D highly porous structure provides abundant void space for loading of S and Li, and accommodates volume change during cycling. Moreover, Nb4 N5 -Nb2 O5 heterostructured interface promotes adsorption-conversion process of polysulfides, while strong lithophilic Nb4 N5 induces the selective infiltration of Li into the void of the skeleton and regulates the uniform deposition and growth. More interestingly, in situ generated Li3 N@Nb ion/electron conducting interfaces induced by the reaction of Nb4 N5 and Li reduce the nucleation overpotential and induce selective deposition of Li into the cavity. Consequently, the Li-S full cell exhibits superior cycling stability and impressive rate performance with a low capacity ratio of negative/positive.

Management of cognitive frailty: A network meta-analysis of randomized controlled trials.

OBJECTIVES: We aimed to compare the effectiveness of interventions in cognitive function and frailty status and rank these interventions. METHODS: Data Sources-We searched PubMed, Embase, CINAHL, PsycINFO, Web of Science, Cochrane Library, Central Register of Controlled Trials (CENTRAL), CNKI, Wanfang, VIP and Google scholar. Data synthesis-The risk of bias was assessed using the Cochrane risk bias assessment tool. Statistical heterogeneity was assessed using the Chi-square test and quantified by I2 . The results were pooled using the standardized mean difference (SMD). The rank probability for each intervention was calculated using the surface under the cumulative ranking curve (SUCRA). Additionally, the quality of the evidence was evaluated using the GRADE approach. RESULTS: A total of 10 randomized controlled trials (RCTs) involving 1110 patients were included in our analysis. The network map of cognitive function comprised 9 RCTs with 1347 participants, examining eight different interventions. Nutritional support (SUCRA = 99.9%, SMD = 3.02, 95% CI: 2.53, 3.51) may be the most effective intervention to improve cognitive function. The network map of frailty (including 9 RCTs with 1017 participants and 9 interventions) suggested that multicomponent exercises (SUCRA = 96.4%, SMD = -5.10, 95% CI: -5.96, -4.23) tended to have a greater effect. CONCLUSIONS: Community-based multicomponent exercises have shown significant benefits for improving cognitive function and frailty status in older adults, with moderate certainty. For hospitalized older patients with Cognitive frailty (CF), current evidence suggests that nutritional support yields the most improvement. Additionally, aerobic exercise and dual-task training have proven effective in managing CF. Further studies are needed to validate these preliminary findings and exploring more accessible and effective physical and cognitive interventions to prevent CF in aging.

Integrated Fiber Ring Laser Temperature Sensor Based on Vernier Effect with Lyot-Sagnac Interferometer.

The Vernier effect created using an incorporated Lyot-Sagnac loop is used to create an ultra-high sensitivity temperature sensor based on a ring laser cavity. Unlike standard double Sagnac loop systems, the proposed sensor is fused into a single Sagnac loop by adjusting the welding angle between two polarization-maintaining fibers (PMFs) to achieve effective temperature sensitivity amplification. The PMFs are separated into two arms of 0.8 m and 1 m in length, with a 45° angle difference between the fast axes. The sensor's performance is examined both theoretically and experimentally. The experimental results reveal that the Vernier amplification effect can be achieved via PMF rotating shaft welding. The temperature sensitivity in the laser cavity can reach 2.391 nm/°C, which is increased by a factor of more than eight times compared with a single Sagnac loop structure (0.298 nm/°C) with a length of 0.8 m without the Vernier effect at temperatures ranging from 20 °C to 30 °C. Furthermore, unlike traditional optical fiber sensing that uses a broadband light source (BBS) for detection, which causes issues such as low signal-to-noise ratio and broad bandwidth, the Sagnac loop can be employed as a filter by inserting itself into the fiber ring laser (FRL) cavity. When the external parameters change, the laser is offset by the interference general modulation, allowing the external temperature to be monitored. The superior performance of signal-to-noise ratios of up to 50 dB and bandwidths of less than 0.2 nm is achieved. The proposed sensor has a simple structure and high sensitivity and is expected to play a role in biological cell activity monitoring.

[Network Meta-analysis of oral Chinese patent medicines in treating type 2 diabetes mellitus complicated with angina pectoris of coronary heart disease].

Bayesian network Meta-analysis was employed to compare the efficacy of different oral Chinese patent medicines in treating type 2 diabetes mellitus with angina pectoris of coronary heart disease. Randomized controlled trial(RCT) of oral Chinese patent medicines in treating type 2 diabetes mellitus complicated with angina pectoris of coronary heart disease were retrieved from 8 Chinese and English databases including CNKI, Wanfang, VIP, SinoMed, EMbase, PubMed, Cochrane Library, and Web of Science with the time interval from inception to November 2022. The BUGSnet package in R 4.2.1 was used to conduct Meta-analysis. A total of 45 RCTs were included, involving 4 727 patients and 7 oral Chinese patent medicines. Network Meta-analysis showed that the conventio-nal western medicine combined with Chinese patent medicines improved the outcome indicators. Shexiang Baoxin Pills + conventional western medicine had the best effect on reducing the incidence of adverse cardiovascular events, and Yixinshu Capsules + conventional western medicine on reducing the frequency and duration of angina pectoris. The conventional western medicine combined with oral Chinese patent medicines can reduce blood glucose indicators. Yindan Xinnaotong Soft Capsules + conventional western medicine had the best effect on reducing fasting blood glucose(FBG), 2 hours postprandial blood glucose(PBG), and glycosylated hemoglobin(HbA1c). The conventional western medicine combined with oral Chinese patent medicines can reduce blood lipid indicators. Yixinshu Capsules + conventional western medicine had the best effect on reducing total cholesterol(TC) and low density lipoprotein-cholesterol(LDL-C), and Yindan Xinnaotong Soft Capsules + conventional western medicine on reducing triglyceride(TG). Current evidence suggests that the patients with type 2 diabetes mellitus complicated with angina pectoris of coronary heart disease could reasonably choose oral Chinese patent medicines on the basis of routine antiplatelet, anticoagulant, hypoglycemic, and antihypertensive therapies, which could reduce the incidence of adverse cardiovascular events, alleviate the symptoms of angina pectoris, and reduce the glucose and lipid metabolism indicators. Shexiang Baoxin Pills + conventional treatment and Yixinshu Capsules + conventional western medicine have better effect on angina pectoris, Yindan Xinnaotong Soft Capsules + conventional western medicine on lowering blood glucose, and Yindan Xinnaotong Soft Capsules + conventional western medicine and Yixinshu Capsules + conventional western medicine on reducing blood lipid. Due to the lack of direct comparative results between Chinese patent medicines and other factors, high-quality studies remain to be carried out for further verification.

[Clinical comprehensive evaluation of Ruyi Zhenbao Pills in treatment of osteoarthritis].

This study evaluated the clinical effectiveness of Ruyi Zhenbao Pills in the treatment of osteoarthritis, aiming to clarify its clinical advantages and promote rational drug use and related policy transformation. Following the relevant standards in Guidelines for the Comprehensive Evaluation of Drugs in Clinical Practice and Technical Specifications for the Clinical Comprehensive Evaluation of Chinese Patent Medicine, comprehensive research and related data on Ruyi Zhenbao Pills in the treatment of osteoarthritis were collected in the dimensions of safety, effectiveness, economy, innovation, suitability, accessibility, and traditional Chinese medicine(TCM) cha-racteristics(referred to as the "6+1" dimensions). Through evidence-based medicine, questionnaire surveys, health technology assessment, pharmacoeconomic evaluation, and other methods, a multi-criteria decision analysis(MCDA) model and CSC v2.0 software were used to comprehensively evaluate the clinical value of Ruyi Zhenbao Pills. Spontaneous reporting system data on adverse reactions and literature data indicate that the adverse reactions of Ruyi Zhenbao Pills are mostly general adverse reactions, with no reports of se-rious adverse reactions. The known risks are small, and its safety is rated as class A. It has been shown to effectively relieve joint pain and restore joint function in the treatment of osteoarthritis. However, more high-quality, large-sample randomized controlled trials are needed to further validate its effectiveness, which is rated as class B. There is evidence supporting its economic viability, and its economic is rated as class B. It demonstrates good clinical innovation, innovative enterprise service system, and industrial innovation, and innovation is rated as class A. Medical professionals and patients have a favorable perception of the suitability of Ruyi Zhenbao Pills, and further improvement can be made in terms of convenience of administration and promotion to facilitate rational drug use by healthcare professionals and patients. Suitability is rated as class B. The drug has a favorable price level, availability, and affordability, and accessibility is rated as class A. Ruyi Zhenbao Pills are a classic Tibetan medicinal prescription with excellent TCM theoretical characteristics. However, further research is needed on its use in human studies. TCM characteristics are rated as class B. Based on the evaluation results of the "6+1" dimensions, the comprehensive clinical evaluation is rated as grade B. Ruyi Zhenbao Pills have good clinical value in the treatment of osteoarthritis, and it is recommended to undergo the necessary procedures for conditional transformation into a policy for the management of essential clinical drugs.

[Network Meta-analysis of Qi-supplementing and Yin-nourishing Chinese patent medicines in treatment of early diabetic nephropathy].

This study aimed to evaluate the efficacy of Qi-supplementing and Yin-nourishing Chinese patent medicine in the treatment of early diabetic nephropathy(DN) by network Meta-analysis to explore the Chinese patent medicine with optimal efficacy and provide references for preventing renal deterioration and delaying the progression of early DN. Eight databases, including CNKI, Wanfang, VIP, SinoMed, PubMed, EMbase, Cochrane Library, and Web of Science, were searched for clinical randomized controlled trial(RCT) of Qi-supplementing and Yin-nourishing Chinese patent medicines in the treatment of early DN. After the literature mee-ting the inclusion criteria was screened, the quality of the literature was evaluated using the Cochrane risk-of-bias tool, and network Meta-analysis was performed using the BUGSnet package in R 4.2.1. Seventy-two research articles with a sample size of 6 344 cases were included, involving eight Chinese patent medicines and seven outcome indicators. The results of the network Meta-analysis showed that(1)in terms of improving urinary albumin excretion rate(UAER), Chinese patent medicines combined with conventional treatment were superior to conventional treatment, and Qiyao Xiaoke Capsules + conventional treatment was optimal.(2)In terms of reducing serum crea-tinine(Scr), Bailing Capsules + conventional treatment had superior efficacy.(3)In terms of reducing 24-hour urine total protein(24hUTP), Shenyan Kangfu Tablets + conventional treatment and Jinshuibao Capsules + conventional treatment had equivalent efficacy, and Shenyan Kangfu Tablets + conventional treatment was superior.(4)In terms of improving fasting blood glucose(FBG), Shenyan Kangfu Tablets + conventional treatment had superior efficacy.(5)In terms of improving total cholesterol(TC), Qiyao Xiaoke Capsules +conventional treatment had superior efficacy.(6)In terms of reducing triglyceride(TG), Bailing Capsules + conventional treatment had superior efficacy.(7)In terms of safety, the occurrence of adverse reactions was reported in seven interventions, but due to the large clinical heterogeneity, the quantitative analysis could not be performed. Overall, Qi-supplementing and Yin-nourishing Chinese patent medicines combined with conventional treatment were superior to conventional treatment alone in the treatment of early DN. The results showed that Qi-supplementing and Yin-nourishing Chinese patent medicines combined with conventional treatment had good clinical efficacy, and they could significantly reduce renal function indicators such as UAER, Scr, and 24hUTP, and reduce blood sugar and blood lipid, which can provide evidence-based support for the treatment of early DN. However, due to the differences in the quantity and quality of the included research articles, large-sample, multi-center, high-quality studies are still needed for further verification.

In-Plane Mott-Schottky Effects Enabling Efficient Hydrogen Evolution from Mo5 N6 -MoS2 Heterojunction Nanosheets in Universal-pH Electrolytes.

Cost-effective electrocatalysts for the hydrogen evolution reaction (HER) spanning a wide pH range are highly desirable but still challenging for hydrogen production via electrochemical water splitting. Herein, Mo5 N6 -MoS2 heterojunction nanosheets prepared on hollow carbon nanoribbons (Mo5 N6 -MoS2 /HCNRs) are designed as Mott-Schottky electrocatalysts for efficient pH-universal HER. The in-plane Mo5 N6 -MoS2 Mott-Schottky heterointerface induces electron redistribution and a built-in electric field, which effectively activates the inert MoS2 basal planes to intrinsically increase the electrocatalytic activity, improve electronic conductivity, and boost water dissociation activity. Moreover, the vertical Mo5 N6 -MoS2 nanosheets provide more activated sites for the electrochemical reaction and facilitate mass/electrolyte transport, while the tightly coupled HCNRs substrate and metallic Mo5 N6 provide fast electron transfer paths. Consequently, the Mo5 N6 -MoS2 /HCNRs electrocatalyst delivers excellent pH-universal HER performances exemplified by ultralow overpotentials of 57, 59, and 53 mV at a current density of 10 mA cm-2 in acidic, neutral, and alkaline electrolytes with Tafel slopes of 38.4, 43.5, and 37.9 mV dec-1 , respectively, which are superior to those of the reported MoS2 -based catalysts and outperform Pt in overall water splitting. This work proposes a new strategy to construct an in-plane heterointerface on the nanoscale and provides fresh insights into the HER electrocatalytic mechanism of MoS2 -based heterostructures.

Enhanced Activities in Alkaline Hydrogen and Oxygen Evolution Reactions on MoS2 Electrocatalysts by In-Plane Sulfur Defects Coupled with Transition Metal Doping.

2D transition metal disulfides (TMDs) are promising and cost-effective alternatives to noble-metal-based catalysts for hydrogen production. Activation of the inert basal plane of TMDs is crucial to improving the catalytic efficiency. Herein, introduction of in-plane sulfur vacancies (Sv ) and 3d transition metal dopants in concert activates the basal planes of MoS2 (M-Sv -MoS2 ) to achieve high activities in the hydrogen evolution reaction (HER) and oxygen evolution reaction (OER). Acetate introducing mild wet chemical etching removes surface S atoms facilitating subsequent cation exchange between the exposed Mo atoms and targeted metal ions in solution. Density-functional theory calculation demonstrates that the exposed 3d transition metal dopants in MoS2 basal planes serve as multifunctional active centers, which not only reduce ΔGH* but also accelerate water oxidation. As a result, the optimal Ni-Sv -MoS2 and Co-Sv -MoS2 electrocatalysts show excellent stability and alkaline HER and OER characteristics such as low overpotentials of 101 and 190 mV at 10 mA cm-2 , respectively. The results reveal a strategy to activate the inert MoS2 basal planes by defect and doping co-engineering and the technique can be extended to other types of TMDs for high-efficiency electrocatalysis beyond water splitting.

Unsupervised despeckling of optical coherence tomography images by combining cross-scale CNN with an intra-patch and inter-patch based transformer.

Optical coherence tomography (OCT) has found wide application to the diagnosis of ophthalmic diseases, but the quality of OCT images is degraded by speckle noise. The convolutional neural network (CNN) based methods have attracted much attention in OCT image despeckling. However, these methods generally need noisy-clean image pairs for training and they are difficult to capture the global context information effectively. To address these issues, we have proposed a novel unsupervised despeckling method. This method uses the cross-scale CNN to extract the local features and uses the intra-patch and inter-patch based transformer to extract and merge the local and global feature information. Based on these extracted features, a reconstruction network is used to produce the final denoised result. The proposed network is trained using a hybrid unsupervised loss function, which is defined by the loss produced from Nerighbor2Neighbor, the structural similarity between the despeckled results of the probabilistic non-local means method and our method as well as the mean squared error between their features extracted by the VGG network. Experiments on two clinical OCT image datasets show that our method performs better than several popular despeckling algorithms in terms of visual evaluation and quantitative indexes.

Molecular Dipole-Induced Photoredox Catalysis for Hydrogen Evolution over Self-Assembled Naphthalimide Nanoribbons.

D-π-A type 4-((9-phenylcarbazol-3-yl)ethynyl)-N-dodecyl-1,8-naphthalimide (CZNI) with a large dipole moment of 8.49 D and A-π-A type bis[(4,4'-1,8-naphthalimide)-N-dodecyl]ethyne (NINI) with a negligible dipole moment of 0.28 D, were smartly designed and synthesized to demonstrate the evidence of a molecular dipole as the dominant mechanism for controlling charge separation of organic semiconductors. In aqueous solution, these two novel naphthalimides can self-assemble to form nanoribbons (NRs) that present significantly different traces of exciton dissociation dynamics. Upon photoexcitation of NINI-NRs, no charge-separated excitons (CSEs) are formed due to the large exciton binding energy, accordingly there is no hydrogen evolution. On the contrary, in the photoexcited CZNI-NRs, the initial bound Frenkel excitons are dissociated to long-lived CSEs after undergoing ultrafast charge transfer within ca. 1.25 ps and charge separation within less than 5.0 ps. Finally, these free electrons were injected into Pt co-catalysts for reducing protons to H2 at a rate of ca. 417 µmol h-1 g-1 , correspondingly an apparent quantum efficiency of ca. 1.3 % can be achieved at 400 nm.

Enhanced solar water splitting using plasmon-induced resonance energy transfer and unidirectional charge carrier transport.

Solar water splitting by photoelectrochemical (PEC) reactions is promising for hydrogen production. The gold nanoparticles (AuNPs) are often applied to promote the visible response of wideband photocatalysts. However, in a typical TiO2/AuNPs structure, the opposite transfer direction of excited electrons between AuNPs and TiO2 under visible light and UV light severely limits the solar PEC performance. Here we present a unique Pt/TiO2/Cu2O/NiO/AuNPs photocathode, in which the NiO hole transport layer (HTL) is inserted between AuNPs and Cu2O to achieve unidirectional transport of charge carriers and prominent plasmon-induced resonance energy transfer (PIRET) between AuNPs and Cu2O. The measured applied bias photon-to-current efficiency and the hydrogen production rate under AM 1.5G illumination can reach 1.5% and 16.4 µmol·cm-2·h-1, respectively. This work is original in using the NiO film as the PIRET spacer and provides a promising photoelectrode for energy-efficient solar water splitting.

Bilobalide: A review of its pharmacology, pharmacokinetics, toxicity, and safety.

Bilobalide is a natural sesquiterpene trilactone from Ginkgo biloba leaves. It has good water solubility and is widely used in food and pharmaceutical fields. In the last decade, a plethora of studies on the pharmacological activities of bilobalide has been conducted and demonstrated that bilobalide possessed an extensive range of pharmacological activities such as neuroprotective, antioxidative, antiinflammatory, anti-ischemic, and cardiovascular protective activities. Pharmacokinetic studies indicated that bilobalide may have the characteristics of rapid absorption, good bioavailability, wide distribution, and slow elimination. This review aims to summarize the advances in pharmacological, pharmacokinetics, toxicity, and safety studies of bilobalide in the last decade with an emphasis on its neuroprotective and antiinflammatory activities, to provide researchers with the latest information and point out the limitations of relevant research at the current stage and the aspects that should be strengthened in future research.

Batch Similarity Based Triplet Loss Assembled into Light-Weighted Convolutional Neural Networks for Medical Image Classification.

In many medical image classification tasks, there is insufficient image data for deep convolutional neural networks (CNNs) to overcome the over-fitting problem. The light-weighted CNNs are easy to train but they usually have relatively poor classification performance. To improve the classification ability of light-weighted CNN models, we have proposed a novel batch similarity-based triplet loss to guide the CNNs to learn the weights. The proposed loss utilizes the similarity among multiple samples in the input batches to evaluate the distribution of training data. Reducing the proposed loss can increase the similarity among images of the same category and reduce the similarity among images of different categories. Besides this, it can be easily assembled into regular CNNs. To appreciate the performance of the proposed loss, some experiments have been done on chest X-ray images and skin rash images to compare it with several losses based on such popular light-weighted CNN models as EfficientNet, MobileNet, ShuffleNet and PeleeNet. The results demonstrate the applicability and effectiveness of our method in terms of classification accuracy, sensitivity and specificity.

Melatonin reduces inflammation in intestinal cells, organoids and intestinal explants.

Inflammatory bowel diseases (IBDs) are chronic and recurrent diseases that often occur in young people and place a heavy burden on public health in both developed and developing countries. Melatonin has been confirmed to be useful in various diseases, including Alzheimer's disease, liver injuries and diseases, and cancers, while its role in IBDs remains unclear. To uncover the function of melatonin in IBDs, three intestinal models, including Caco-2 cells, 3D intestinal organoids and intestinal explants, were used. It was found that different concentrations of melatonin could significantly inhibit the expression levels of NFκB and its downstream cytokines, including IL6 and IL8 in Caco-2 cells (*P < 0.05, **P < 0.01), 3D intestinal organoids (*P < 0.05, **P < 0.01) and intestinal explants (*P < 0.05, **P < 0.01). Melatonin abolished the activation of LPS on the expression levels of NFκB, IL6, and IL8 in three intestinal models (*P < 0.05, **P < 0.01, ***P < 0.001). Importantly, the roles of melatonin in the regulation of inflammation was dependent on its receptor (i.e., MTNR1), since it was found that silencing of the melatonin receptor (MTNR1A) abolished the reduction in inflammation induced by melatonin in Caco-2 cells (***P < 0.001) and 3D intestinal organoids (***P < 0.01, ****P < 0.0001). Herein, the findings in this study might provide useful information for understanding the pathogenesis of IBDs and developing novel drugs to treat the diseases.

The effect of preperitoneal pelvic packing for hemodynamically unstable patients with pelvic fractures.

PURPOSE: Hemodynamically unstable patients with pelvic fractures still represent a challenge to trauma surgeons and have a very high mortality. This study was designed to explore the effect of the interventions of direct preperitoneal pelvic packing for the hemodynamically unstable pelvic fractures. METHODS: This retrospective study enrolled 67 cases of severe pelvic fractures with unstable hemodynamics from October 2011 to December 2019. All patients presented in our emergency center and received preperitoneal pelvic packing were included in this study. The indication was persistent systolic blood pressure ≤90 mmHg during initial resuscitation and after transfusion of two units of red blood cells. Patients with hemodynamic stability who need no preperitoneal pelvic packing to control bleeding were excluded. Their demographic characteristics, clinical features, laboratory results, therapeutic interventions, adverse events, and prognostic outcomes were collected from digital information system of electronic medical records. Statistics were described as mean ± standard deviation or medium and analyzed using pair sample t-test or Mann-Whitney U-test. RESULTS: The patients' average age was 41.6 years, ranging from 10 to 88 years. Among them, 45 cases were male (67.2%) and 22 cases were female (32.8%). Significant difference was found regarding the systolic blood pressure (mmHg) in the emergency department (78.4 ± 13.9) and after preperitoneal pelvic packing in the surgery intensive care unit (100.1 ± 17.6) (p < 0.05). Simultaneously, the arterial base deficit (mmol/L) were significantly lower in the surgery intensive care unit (median -6, interquartile range -8 to -2) than in the emergency department (median -10, interquartile range -14 to -8) (p < 0.05). After preperitoneal pelvic packing, 15 patients (22.4%) underwent pelvic angiography for persistent hypotension or suspected ongoing haemorrhage. The overall mortality rate was 29.5% (20 of 67). CONCLUSIONS: Preperitoneal pelvic packing, as a useful surgical technique, is less invasive and can be very efficient in early intra-pelvic bleed control.