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Abstract Energy storage is playing an increasingly important role in the modern world as sustainability is becoming a critical issue. Within this domain, rechargeable battery is gaining significant popularity as it has been adopted to serve as the power supplier in a broad range of application scenarios, such as cyber‐physical system (CPS), due to multiple advantages. On the other hand, battery inspection and management solutions have been constructed based on the CPS architecture in order to guarantee the quality, reliability and safety of rechargeable batteries. In specific, lifetime prediction is extensively studied in recent research as it can help assess the quality and health status to facilitate the manufacturing and maintenance. Due to the aforementioned importance, the authors aim to conduct a comprehensive survey on the data‐driven techniques for battery lifetime prediction, including their current status, challenges and promises. In contrast to existing literature, the battery lifetime prediction methods are studied under CPS context in this survey. Hence, the authors focus on the algorithms for lifetime prediction as well as the engineering frameworks that enable the data acquisition and deployment of prediction models in CPS systems. Through this survey, the authors intend to investigate both academic and practical values in the domain of battery lifetime prediction to benefit both researchers and practitioners.

Abstract Background Rheumatoid arthritis (RA) is an autoimmune disease characterized by the overproliferation of synovial fibroblast‐like synoviocytes (FLSs) in the lining, leading to chronic inflammation and progressive joint damage. RA pathogenesis involves lymphocyte infiltration, increased synovial cell proliferation, and impaired cell death. This study investigated the effects of rapamycin on RA‐FLSs and explored the underlying molecular mechanisms. Methods The optimal drug concentration and time for rapamycin administration were determined using a cell counting kit‐8 assay. The concentration of rapamycin varied from 1 to 25 nmol/L. The mRNA expression levels of protein kinase B (AKT), mammalian target of rapamycin (mTOR), B cell lymphoma 2 (Bcl‐2), and Bcl‐2‐associated X protein (Bax) were quantified by real‐time polymerase chain reaction. Protein expression (p‐AKT, AKT, p‐mTOR, mTOR, pS6 kinase [S6K], S6K, p‐4E‐binding protein 1 [4EBP1], 4EBP1, Bcl‐2, Bax, caspase 3, caspase 9, cyclin‐dependent kinase 2 [CDK2], and CD1) were detected by Western blotting analysis. Results Rapamycin suppresses RA‐FLS proliferation and induces apoptosis in a dose‐dependent manner. Rapamycin significantly elevated the protein expression of Bax (p

Abstract The carbon capture‐transportation‐utilization (C‐CTU) chain strengthens the coupling between terminal energy consumption and renewable energy resources (RES), achieving carbon emission reduction in power generation sectors. However, the dynamic operation of the C‐CTU chain and the uncertainties induced by RES output pose new challenges for the low‐carbon operation. To address above challenges, the nonlinear dynamic operation model of C‐CTU chain is first proposed in this study. It is further incorporated into the day‐ahead operation scheme of the electricity‐carbon integrated system considering the stochastic nature of wind power. This scheme is treated as a two‐stage stochastic integer programming (TS‐SIP) problem with a mixed‐integer nonlinear recourse. By means of the polyhedral envelope‐based linearization method, this recourse is reformulated into its linear counterpart. To further improve the computational performance of classical decomposition algorithms, a novel Benders decomposition framework with hybrid cutting plane strategies is proposed to obtain better feasible solutions within a limited time. Simulations are conducted on two power system test cases with the C‐CTU chain. Numerical results indicate that the engagement of C‐CTU chain promotes the low‐carbon economic operation of the power system. Also, the proposed decomposition algorithm shows a superior solution capability to handle large‐scale TS‐SIP than state‐of‐the‐art commercial solvers.

Abstract Introduction Lung adenocarcinoma (LUAD) is a common pathological type of lung cancer. The presence of lymph node metastasis plays a crucial role in determining the overall treatment approach and long‐term prognosis for early LUAD, therefore accurate prediction of lymph node metastasis is essential to guide treatment decisions and ultimately improve patient outcomes. Methods We performed transcriptome sequencing on T1 LUAD patients with positive or negative lymph node metastases and combined this data with The Cancer Genome Atlas Program cohort to identify potential risk molecules at the tissue level. Subsequently, by detecting the expression of these risk molecules by real‐time quantitative PCR in serum samples, we developed a model to predict the risk of lymph node metastasis from a training cohort of 96 patients and a validation cohort of 158 patients. Results Through transcriptome sequencing analysis of tissue samples, we identified 11 RNA (miR‐412, miR‐219, miR‐371, FOXC1, ID1, MMP13, COL11A1, PODXL2, CXCL13, SPOCK1 and MECOM) associated with positive lymph node metastases in T1 LUAD. As the expression of FOXC1 and COL11A1 was not detected in serum, we constructed a predictive model that accurately identifies patients with positive lymph node metastases using the remaining nine RNA molecules in the serum of T1 LUAD patients. In the training set, the model achieved an area under the curve (AUC) of 0.89, and in the validation set, the AUC was 0.91. Conclusions We have established a new risk prediction model using serum samples from T1 LUAD patients, enabling noninvasive identification of those with positive lymph node metastases.

Abstract Multi‐label image recognition (MLR) is a significant branch of image classification that aims to assign multiple categorical labels to each input. Previous research has focused on enhancing the learning of category‐related regional features. However, the potential impact of multi‐scale distributions in intra‐ and inter‐category targets on MLR tends to be neglected. Besides, semantic consistency for categories is restricted to be considered on single‐scale features, resulting in suboptimal feature extraction. To address the limitations of above, a Multi‐stage Feature Aggregation (MSFA) network is proposed. In MSFA, a novel local feature extraction method is suggested to progressively extract category‐related high‐resolution local features in both spatial and channel dimensions. Subsequently, local and global features are fused without additional up‐ and down‐sampling to enrich the scale diversity of the features while incorporating refined class‐specific information. Furthermore, a hierarchical prediction scheme for MLR is proposed, which generates classification confidence corresponding to different scales under hierarchical loss supervision. Consequently, the final output of the network comes from the joint prediction by the classifiers on multi‐scale features, ensuring a stronger feature extraction capability. The extensive experiments have been carried on VOC and MS‐COCO datasets, and the superiority of MSFA over existing mainstream methods has been verified.

Objective Percutaneous CT‐guided radiofrequency ablation (CT‐RFA) is a widely accepted procedure for treatment of osteoid osteomas. However, the application of CT‐RFA was restricted as a result of some drawbacks, such as radiation exposure, and inconvenience in general anesthesia. The primary aim of this study is to evaluate the safety and efficacy of intra‐operative TiRobot‐assisted percutaneous RFA of osteoid osteomas. Methods We retrospectively reviewed 21 medical files of patients who were treated with percutaneous RFA of osteoid osteomas guided by the TiRobot system in our institution between March 2021 and April 2022. The three‐dimensional images obtained by a 3D C‐arm intra‐operatively were sent to the TiRobot system. The puncture point and trajectory were designed. Then the guide pin was positioned to the lesion with the assistance of TiRobot and the biopsy sheath was inserted into the lesion through the guide pin. The tumor was biopsied for pathological examination. Then the RFA needle was inserted into the nidus through the biopsy sheath for thermal ablation. Data were extracted on the associated complications, the reduction in pain at 1 month and 1 year postoperatively assessed by the visual analogue scale (VAS). A paired t‐test was used to compare the pre‐operative and post‐operative VAS scores. Results The patients included 17 males and four females with a mean age of 19.5 ± 10.4 years (range 3–45 years). Lesions were located on the femur in nine cases, on the tibia in nine cases, on the humerus in one case, on the calcaneus in one case, and on the acetabulum in one case. TiRobot‐assisted percutaneous RFA was successfully performed on all 21 patients. There was no intra‐operative or post‐operative complications observed. Pathological diagnosis of osteoid osteoma was obtained in 11 patients, but the other 10 cases were not pathologically diagnosed. The mean follow‐up time was 18.8 months (range: 12–26 months).Post‐operative VAS scores were reduced significantly in all cases. The mean VAS score decreased from 6.5 pre‐operatively to 0.5 at 1 month post‐operatively and to 0.1 at 1 year post‐operatively. Conclusion As a reliable technique for localizing and resection of nidus, TiRobot‐assisted percutaneous RFA is a safe and effective option for the treatment of osteoid osteomas.

Abstract Single‐atom catalysts (SACs) have rapidly become a hot topic in photocatalytic research due to their unique physical and chemical properties, high activity, and high selectivity. Among many semiconductor carriers, the special structure of carbon nitride (C3N4) perfectly meets the substrate requirements for stabilizing SACs; they can also compensate for the photocatalytic defects of C3N4 materials by modifying energy bands and electronic structures. Therefore, developing advanced C3N4‐based SACs is of great significance. In this review, we focus on elucidating efficient preparation strategies and the burgeoning photocatalytic applications of C3N4‐based SACs. We also outline prospective strategies for enhancing the performance of SACs and C3N4‐based SACs in the future. A comprehensive array of methodologies is presented for identifying and characterizing C3N4‐based SACs. This includes an exploration of potential atomic catalytic mechanisms through the simulation and regulation of atomic catalytic behaviors and the synergistic effects of single or multiple sites. Subsequently, a forward‐looking perspective is adopted to contemplate the future prospects and challenges associated with C3N4‐based SACs. This encompasses considerations, such as atomic loading, regulatory design, and the integration of machine learning techniques. It is anticipated that this review will stimulate novel insights into the synthesis of high‐load and durable SACs, thereby providing theoretical groundwork for scalable and controllable applications in the field.

Abstract High‐frequency oscillatory activity in cognition‐related neural circuits during wakefulness consistently induces the growth of dendritic spines and axonal terminals. Although these structural changes are essential for cognitive functions, it is hypothesized that if these newly expanded structures fail to establish functional connections, they may become superfluous. Sleep is believed to facilitate the reduction of such redundant structures to maintain neural homeostasis. However, the mechanisms underlying this pruning process during sleep remain poorly understood. In this study, that melatonin type 3 receptors (MT3Rs) are selectively expressed in the stellate neurons of the medial entorhinal cortex (MEC) is demonstrated, an area where high melatonin levels are detected during sleep. Activation of MT3Rs during sleep initiates the shrinkage of dendritic spines in stellate neurons by downregulating neural network activity and dephosphorylating synaptic proteins in the MEC. This process is disrupted when MT3R expression is knocked down or when MT3Rs are blocked during sleep. Notably, interference with MT3Rs in the MEC during sleep impairs the acquisition of spatial memory but does not affect object memory acquisition following sleep. These findings reveal novel molecular mechanisms involving melatonin and MT3Rs in the regulation of dendritic spine shrinkage during sleep, which is crucial for the acquisition and consolidation of spatial memory.

Abstract Regional visibility forecasting encounters challenges due to data imbalance, temporal non‐linearity and the consideration of multi‐scale spatial factors. To tackle these challenges, this study introduces a novel approach for collaborative multi‐site visibility forecasting based on spatiotemporal convolutional networks. Firstly, we preprocess the ERA5 reanalysis dataset and ground observation dataset, standardizing the spatiotemporal dimensions. We employ correlation coefficient analysis to select relevant meteorological factors. Subsequently, we create a spatiotemporal convolutional network model (TCN_GCN), which combines the power of temporal convolutional network (TCN) and graph convolutional network (GCN). Additionally, a weighted loss function is incorporated, accounting for the distribution of visibility values. The model is trained with multi‐site data, enabling it to learn spatiotemporal visibility patterns across various sites. This empowers the model to generate multi‐site visibility forecasts, thereby significantly improving regional visibility forecasting accuracy. Using 50 meteorological stations in Fujian Province, China, as a case study, we assess the model's predictions using key metrics such as mean absolute error (MAE), root mean square error (RMSE) and coefficient of determination (R2). The experimental results demonstrate that the inclusion of both temporal and spatial features leads to a substantial enhancement in model prediction performance. The TCN_GCN model outperforms other deep learning methods in multi‐site visibility forecasting, highlighting its effectiveness and superiority in improving regional visibility forecasting accuracy.

Abstract Background The periaqueductal gray (PAG) is at the center of a powerful descending antinociceptive neuronal network, and is a key node in the descending pain regulatory system of pain. However, less is known about the altered perfusion of PAG in chronic migraine (CM). Aim To measure the perfusion of PAG matter, an important structure in pain modulation, in CM with magnetic resonance (MR) perfusion without contrast administration. Methods Three‐dimensional pseudocontinuous arterial spin labeling (3D‐PCASL) and brain structure imaging were performed in 13 patients with CM and 15 normal subjects. The inverse deformation field generated by brain structure image segmentation was applied to the midbrain PAG template to generate individualized PAG. Then the perfusion value of the PAG area of the midbrain was extracted based on the individual PAG mask. Results Cerebral blood flow (CBF) value of PAG in CM patients (47.98 ± 8.38 mL/100 mg min) was significantly lower than that of the control group (59.87 ± 14.24 mL/100 mg min). Receiver operating characteristic (ROC) curve analysis showed that the area under the curve was 0.77 (95% confidence interval [CI], 0.60, 0.94), and the cutoff value for the diagnosis of CM was 54.83 mL/100 mg min with a sensitivity 84.60% and a specificity 60%. Conclusion Imaging evidence of the impaired pain conduction pathway in CM may be related with the decreased perfusion in the PAG, which could be considered as an imaging biomarker for the diagnosis and therapy evaluation.

Abstract Multiplexing technology creates several orthogonal data channels and dimensions for high‐density information encoding and is irreplaceable in large‐capacity information storage, and communication, etc. The multiplexing dimensions are constructed by light attributes and spatial dimensions. However, limited by the degree of freedom of interaction between light and material structure parameters, the multiplexing dimension exploitation method is still confused. Herein, a 7D Spin‐multiplexing technique is proposed. Spin structures with four independent attributes (color center type, spin axis, spatial distribution, and dipole direction) are constructed as coding basic units. Based on the four independent spin physical effects, the corresponding photoluminescence wavelength, magnetic field, microwave, and polarization are created into four orthogonal multiplexing dimensions. Combined with the 3D of space, a 7D multiplexing method is established, which possesses the highest dimension number compared with 6 dimensions in the previous study. The basic spin unit is prepared by a self‐developed laser‐induced manufacturing process. The free state information of spin is read out by four physical quantities. Based on the multiple dimensions, the information is highly dynamically multiplexed to enhance information storage efficiency. Moreover, the high‐dynamic in situ image encryption/marking is demonstrated. It implies a new paradigm for ultra‐high‐capacity storage and real‐time encryption.

Abstract Mounting clinical evidence suggests that a comprised intestinal barrier contributes to the progression of nonalcoholic steatohepatitis (NASH); nevertheless, the precise mechanism remains elusive. This study unveils a significant upregulation of nuclear receptor‐binding SET domain protein 2 (NSD2) in the intestines of obese humans and mice subjected to a high‐fat cholesterol diet (HFCD). Intestine‐specific NSD2 knockout attenuated the progression of intestinal barrier impairment and NASH, whereas NSD2 overexpression exacerbated this progression. Mechanistically, NSD2 directly regulates the transcriptional activation of Ern1 by demethylating histone H3 at lysine 36 (H3K36me2), thus activating the ERN1–JNK axis to intensify intestinal barrier impairment and subsequently foster NASH progression. These findings elucidate the crucial role of NSD2‐mediated H3K36me2 in intestinal barrier impairment, suggesting that targeting intestinal NSD2 can represent a novel therapeutic approach for NASH.

Abstract Objective This study aims to assess the tricuspid annular plane systolic excursion (TAPSE)/PASP ratio as a potential indicator for predicting the probability of developing pulmonary arterial hypertension (PAH) in hyperthyroidism patients. A nomogram model will be developed based on our findings, as well as the receiver operating characteristic (ROC) curve. Methods The study involved 166 hyperthyroid patients treated at Yijishan Hospital, and the period covered August 2021 to August 2022. Patients were divided into two groups according to pulmonary artery systolic pressure ≥35 mmHg. Univariate and multivariate logistic analyses were performed on the two groups' demographic and laboratory data to identify potential diagnostic markers. These parameters were evaluated using ROC curves to determine their precision in forecasting PAH. The findings were validated by plotting a calibration curve based on a line chart model. Results In the study, eventually, 80 patients were enrolled: 30 in the PAH group and 50 in the No PAH group. Multipleistic regression analysis predicted the occurrence risk of developing PAH. When paired with other conventional echocardiographic parameters (such as TAPSE, MPI, and SV) and serological markers (such as FT3 and FT4), the developed model demonstrated outstanding predictive performance with an area under the ROC curve of 0.985, a Youden index of 0.971, a sensitivity of 100%, and a specificity of 97.1%. Conclusions The nomogram model constructed by combining the TAPSE/PASP ratio with FT3 and FT4 serum markers, as well as conventional ultrasound parameters SV and MPI in hyperthyroidism patients, demonstrates robust discriminatory ability and consistency.

Abstract Ultra‐thin 2D materials have great potential as electrodes for micro‐supercapacitors (MSCs) because of their facile ion transport channels. Here, a high‐precision controllable photonic‐synthesis strategy that provided 1 inch wafer‐scale ultra‐thin film arrays of alloyed WxMo2xSy with sulfur vacancies and expanded interlayer (13.2 Å, twice of 2H MoS2) is reported. This strategy regulates the nucleation and growth of transition metal dichalcogenides (TMDs) on the picosecond or even femtosecond scale, which induces Mo–W alloying, interlayer expansion, and sulfur loss. Therefore, the diffusion barrier of WxMo2xSy is reduced, with charge transfer and ion diffusion enhancing. The as‐prepared symmetric MSCs with the size of 100 × 100 µm2 achieve ultrahigh specific capacitance (242.57 mF cm−2 and 242567.83 F cm−3), and energy density (21.56 Wh cm−3 with power density of 485.13 W cm3). The established synthesis strategy fits numerous materials, which provides a universal method for the flexible synthesis of electrodes in microenergy devices.

Abstract Physical performance in hemodialysis patients declines and serves as a cardiovascular disease (CVD) incidence and mortality predictor. However, lower extremity function's role remains unclear. This study aimed to quantify the association between lower extremity function and CVD risk in hemodialysis patients. This was a multicenter cross‐sectional study enrolling 868 participants (532 males, 336 females) from seven hemodialysis centers in Shanghai, China. Patients were divided into three groups per lower extremity function, evaluated by short physical performance battery (SPPB) scores: 0–6, 7–9, and 10–12. Upper extremity function was quantified through grip strength assessment. CVD risk was assessed using the Framingham Risk Score. Approximately 35% of hemodialysis patients had impaired lower extremity function (SPPB score

Abstract Funduscopic diseases, including diabetic retinopathy (DR) and age‐related macular degeneration (AMD), significantly impact global visual health, leading to impaired vision and irreversible blindness. Delivering drugs to the posterior segment of the eye remains a challenge due to the presence of multiple physiological and anatomical barriers. Conventional drug delivery methods often prove ineffective and may cause side effects. Nanomaterials, characterized by their small size, large surface area, tunable properties, and biocompatibility, enhance the permeability, stability, and targeting of drugs. Ocular nanomaterials encompass a wide range, including lipid nanomaterials, polymer nanomaterials, metal nanomaterials, carbon nanomaterials, quantum dot nanomaterials, and so on. These innovative materials, often combined with hydrogels and exosomes, are engineered to address multiple mechanisms, including macrophage polarization, reactive oxygen species (ROS) scavenging, and anti‐vascular endothelial growth factor (VEGF). Compared to conventional modalities, nanomedicines achieve regulated and sustained delivery, reduced administration frequency, prolonged drug action, and minimized side effects. This study delves into the obstacles encountered in drug delivery to the posterior segment and highlights the progress facilitated by nanomedicine. Prospectively, these findings pave the way for next‐generation ocular drug delivery systems and deeper clinical research, aiming to refine treatments, alleviate the burden on patients, and ultimately improve visual health globally.

Abstract Superconductivity at room temperature and near‐ambient pressures is a highly sought‐after phenomenon in physics and materials science. A recent study reported the presence of this phenomenon in N‐doped lutetium hydride [Nature 615, 244 (2023)], however, subsequent experimental and theoretical investigations have yielded inconsistent results. This study undertakes a systematic examination of synthesis methods involving high temperatures and pressures, leading to insights into the impact of the reaction path on the products and the construction of a phase diagram for lutetium hydrides. Notably, the high‐pressure phase of face‐centered cubic LuH3 (fcc‐LuH3) is maintained to ambient conditions through a high‐temperature and high‐pressure method. Based on temperature and anharmonic effects corrections, the lattice dynamic calculations demonstrate the stability of fcc‐LuH3 at ambient conditions. However, no superconductivity is observed above 2 K in resistance and magnetization measurements in fcc‐LuH3 at ambient pressure. This work establishes a comprehensive synthesis approach for lutetium hydrides, thereby enhancing the understanding of the high‐temperature and high‐pressure method employed in hydrides with superconductivity deeply.

Abstract Aims Despite refinements in balloon pulmonary angioplasty (BPA), total occlusion remains a challenge in chronic thromboembolic pulmonary hypertension (CTEPH). Owing to their low success and high complication rates, most interventional cardiologists are reluctant to address total occlusion, and there is a paucity of literature on BPA performance in total occlusion. We aimed to classify total occlusion according to morphology and present an illustrative approach for devising a tailored treatment strategy for each distinct type of total occlusion. Methods and results All patients diagnosed with CTEPH who underwent BPA between May 2018 and May 2022 at Fuwai Hospital in Beijing, China, were included retrospectively. A total of 204 patients with CTEPH who underwent BPA were included in this study. Among these, 38 occluded lesions were addressed in 33 patients. Based on the morphology, we categorized the lesions into three groups: pointed‐head, round‐head, and orifice occlusions. Pointed‐head occlusion could be successfully addressed using soft‐tip wire, round‐head occlusion warranted hard‐tip wire and stronger backup, and orifice occlusion warranted the strongest backup force. The success rates for each group were as follows: pointed‐head (95.45%), round‐head (46.15%), and orifice occlusion (33.33%), with orifice occlusion having the highest complication rate (50%). The classification of occlusion was associated with BPA success (round‐head occlusion vs. pointed‐head occlusion, OR 24.500, 95% CI 2.498–240.318, P = 0.006; orifice occlusion vs. pointed‐head occlusion, OR 42.000, 95% CI 3.034–581.434, P = 0.005). Conclusions Occlusion morphology has a significant impact on BPA success and complication rates. A treatment strategy tailored to each specific occlusive lesion, as outlined in the present study, has the potential to serve as a valuable guide for clinical practitioners.

Abstract Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease with a multifaceted pathogenesis involving genetic, epigenetic, and environmental factors. It mainly targets the synovium, leading to synovitis and subsequently bone erosion. Novel effective treatments for RA are imperative. Matrine, the main active constituent of Sophora flavescens Ait (known as Kushen in Chinese medicine), has been used to treat fever, dysentery, hematochezia, jaundice, oliguria, vulvar swelling, asthma, eczema, and inflammatory disorders. Matrine exhibits diverse pharmacological effects, including antitumor, anti‐inflammatory, antifibrotic, and antiviral properties. Animal studies have suggested that matrine mitigates inflammation and reduces RA severity by modulating inflammation‐related expression. Its therapeutic mechanism in RA may involve several signaling pathways, including the phosphatidylinositol 3‐kinase/protein kinase B/mammalian target of the rapamycin, nuclear factor‐κB, Janus kinase/signal transducers and activators of transcription, and mitogen‐activated protein kinase pathways, all of which are associated with various biological processes, such as cell proliferation and differentiation, apoptosis, and immune regulation. Moreover, mitochondrial homeostasis disruption and epigenetic modifications, mediated by long noncoding RNAs, play crucial roles in RA pathogenesis. Experimental evidence suggests that matrine exerts therapeutic effects by modulating mitochondrial homeostasis and long noncoding RNAs. We summarize the molecular mechanisms of matrine in RA treatment to provide theoretical support for expanding its clinical applications to the treatment of RA.

Abstract Self‐assembled monolayers (SAMs) employed in inverted perovskite solar cells (PSCs) have achieved groundbreaking progress in device efficiency and stability for both single‐junction and tandem configurations, owing to their distinctive and versatile ability to manipulate chemical and physical interface properties. In this regard, we present a comprehensive review of recent research advancements concerning SAMs in inverted perovskite single‐junction and tandem solar cells, where the prevailing challenges and future development prospects in the applications of SAMs are emphasized. We thoroughly examine the mechanistic roles of diverse SAMs in energy‐level regulation, interface modification, defect passivation, and charge transportation. This is achieved by understanding how interfacial molecular interactions can be finely tuned to mitigate charge recombination losses in inverted PSCs. Through this comprehensive review, we aim to provide valuable insights and references for further investigation and utilization of SAMs in inverted perovskite single‐junction and tandem solar cells.

Abstract Salient object detection (SOD), one of the most important applications in the field of computer vision, aims to extract the most visually appealing regions of scenes. However, the improvement of the accuracy of existing salient object detection in optical remote sensing images (ORSI‐SOD) is usually accompanied by an increase of network complexity, which affects the application of these models. Motivated by this, a novel lightweight edge‐supervised neural network for ORSI‐SOD is proposed, named CSFFNet. Specifically, the backbone (ResNet34) is first lightened by feature encoding module (FEM), building a lightweight subnet for feature extraction. Then, in the transformer‐based feature pyramid enhancement module (FPEM), the convolutional features obtained in the FEM are enhanced by long‐distance dependence to obtain multi‐scale features containing rich saliency cues. Based on this, the feature fusion module (FFM) is designed to capture cross‐scale long‐range dependencies and effectively fuse high‐level semantic information with low‐level detail information. Thus, the increase in network complexity due to multi‐level decoding is avoided. Finally, the segmentation results are optimized by using salient edges as auxiliary information, which effectively improves the contrast and completeness of the results. Experimental results on two public datasets demonstrate that the lightweight CSFFNet achieves competitive or even better performance compared with state‐of‐the‐art methods.

Abstract As satellite imagery technology advances, remote sensing plays an increasingly prominent role in modern society. Nevertheless, the limitations of existing imaging sensors and complex atmospheric conditions constrain the quality of raw remote sensing data, posing challenges for interpretation and noise reduction. Super‐resolution technology focuses on enhancing low‐quality, low‐resolution remote sensing images. In this study, we introduce a method that utilizes a high‐order degradation model to generate low‐resolution remote sensing images. We employ a Generative Adversarial Network with a Convolutional Block Attention Module (CBAM‐GAN) to enhance these images, reducing noise interference and improving texture and feature display. Our approach outperforms other methods on the UCMerced‐LandUse, WHU‐RS19, and AID datasets. Specifically, it raises SSIM index scores to 0.9443, 0.8928, and 0.8633, respectively, exceeding baselines by 1.31%, 0.19%, and 1.30%. The MOS index also improves to 3.98, 3.96, and 3.83, respectively, representing a 2.31%, 8.20%, and 2.96% gain over the baseline. Our reconstruction produces superior results, demonstrating the effectiveness of our proposed method.

Abstract A‐type granite is a favorable rock for the study of crustal evolution, crust‐mantle interaction and metallogenesis. However, the origin of A‐type granite remains controversial. In this study, we report high‐precision Ca isotopic compositions of a co‐genetic suite of A‐type granites from the Lower Yangtze River Belt (LYRB) in eastern China. Our results show that the δ44/40Ca of the A‐type granites ranges from 0.55 ± 0.11‰ to 1.44 ± 0.06‰, and is negatively correlated with CaO, Sr and Ba contents and Eu/Eu*, indicating that the Ca isotope fractionation of A‐type granites is dominated by plagioclase and potassium feldspar. There is kinetic fractionation of Ca isotopes during A‐type granite magma evolution. Sample BSL‐7, the least evolved sample, revealed that it had a low δ44/40Ca of 0.59‰, which is significantly lower than that of the upper continental crust (δ44/40Ca = 0.71–0.72‰) and the bulk silicate earth (δ44/40Ca = 0.94‰). The low δ44/40Ca can be best explained by partial melting of the enriched mantle metasomatized by subduction material. Combined with the geodynamic background of the LYRB, we propose that the formation of A‐type granites in the LYRB originates from partial melting of the enriched mantle, triggered by early Cretaceous ridge subduction of the Pacific and Izanagi plates.

Abstract Visible light‐based human–machine interactive media is capable of transmitting electrical readouts to machines and providing intuitive feedback to users simultaneously. Currently, many inorganic mechanoluminescent (ML) materials‐based interactive media, typically ZnS‐loaded phosphors (ZLPs), have been successfully demonstrated. However, organic ML materials‐based solutions were rarely exploited despite their huge merits of strong structural modification, abundant luminescence property, low cost, easy preparation, and so on. Here, we propose a novel interactive tactile display (ITD) based on organic ML materials (Cz‐A6‐dye) and triboelectric nanogenerator, with ultra‐brightness (130% enhancement) and ultra‐low threshold pressure (57% reduction) as compared to ZLPs. The proposed ITD achieves the conversion of weak mechanical stimuli into visible light and electrical signals simultaneously, without extra power supplies. Furthermore, the relationship between the luminous performance of organic ML materials and mechanical force is quantified, benefiting from the uniform ML layer prepared. Enabled by convolutional neural networks, the high‐accuracy recognition (97.1%) for handwriting and identity of users is realized at the same time. Thus, the ITD has great potential for intelligent wearable electronics and classified military applications.

Abstract The heterogeneity of macrophages influences the response to immune checkpoint inhibitor (ICI) therapy. However, few studies explore the impact of APOE+ macrophages on ICI therapy using single‐cell RNA sequencing (scRNA‐seq) and machine learning methods. The scRNA‐seq and bulk RNA‐seq data are Integrated to construct an M.Sig model for predicting ICI response based on the distinct molecular signatures of macrophage and machine learning algorithms. Comprehensive single‐cell analysis as well as in vivo and in vitro experiments are applied to explore the potential mechanisms of the APOE+ macrophage in affecting ICI response. The M.Sig model shows clear advantages in predicting the efficacy and prognosis of ICI therapy in pan‐cancer patients. The proportion of APOE+ macrophages is higher in ICI non‐responders of triple‐negative breast cancer compared with responders, and the interaction and longer distance between APOE+ macrophages and CD8+ exhausted T (Tex) cells affecting ICI response is confirmed by multiplex immunohistochemistry. In a 4T1 tumor‐bearing mice model, the APOE inhibitor combined with ICI treatment shows the best efficacy. The M.Sig model using real‐world immunotherapy data accurately predicts the ICI response of pan‐cancer, which may be associated with the interaction between APOE+ macrophages and CD8+ Tex cells.

Abstract As one of the major causes of antimicrobial resistance, β‐lactamase develops rapidly among bacteria. Detection of β‐lactamase in an efficient and low‐cost point‐of‐care testing (POCT) way is urgently needed. However, due to the volatile environmental factors, the quantitative measurement of current POCT is often inaccurate. Herein, we demonstrate an artificial intelligence (AI)‐assisted mobile health system that consists of a paper‐based β‐lactamase fluorogenic probe analytical device and a smartphone‐based AI cloud. An ultrafast broad‐spectrum fluorogenic probe (B1) that could respond to β‐lactamase within 20 s was first synthesized, and the detection limit was determined to be 0.13 nmol/L. Meanwhile, a three‐dimensional microfluidic paper‐based analytical device was fabricated for integration of B1. Also, a smartphone‐based AI cloud was developed to correct errors automatically and output results intelligently. This smart system could calibrate the temperature and pH in the β‐lactamase level detection in complex samples and mice infected with various bacteria, which shows the problem‐solving ability in interdisciplinary research, and demonstrates potential clinical benefits.

Abstract Myocardial infarction (MI) is a leading cause of death worldwide. Few drugs hold the ability to depress cardiac electrical and structural remodeling simultaneously after MI, which is crucial for the treatment of MI. The aim of this study is to investigate an effective therapy to improve both electrical and structural remodeling of the heart caused by MI. Here, an “ion cocktail therapy” is proposed to simultaneously reverse cardiac structural and electrical remodeling post‐MI in rats and minipigs by applying a unique combination of silicate, strontium (Sr) and copper (Cu) ions due to their specific regulatory effects on the behavior of the key cells involved in MI including angiogenesis of endothelial cells, M2 polarization of macrophages and apoptosis of cardiomyocyte. The results demonstrate that ion cocktail treatment attenuates structural remodeling post‐MI by ameliorating infarct size, promoting angiogenesis in both peri‐infarct and infarct areas. Meantime, to some extent, ion cocktail treatment reverses the deteriorative electrical remodeling by reducing the incidence rate of early/delayed afterdepolarizations and minimizing the heterogeneity of cardiac electrophysiology. This ion cocktail therapy reveals a new strategy to effectively treat MI with great clinical translation potential due to the high effectiveness and safety of the ion cocktail combination.

Abstract Nature presents the most beautiful patterns through evolving. Here, a layered porous pattern in golden ratio (0.618) is reported from a type of mushroom ‐Dictyophora Rubrovalvata stipe (DRS). The hierarchical structure shows a mathematical correlation with the golden ratio. This unique structure leads to superior mechanical properties. The gradient porous structure from outside to innermost endows it with asymmetrical hydrophilicity. A mathematical model is then developed to predict and apply to 3D printed structures. The mushroom is then explored to repair gastric perforation because the stomach is a continuous peristaltic organ, and the perforated site is subject to repeated mechanical movements and pressure changes. At present, endoscopic clipping is ineffective in treating ulcerative perforation with fragile surrounding tissues. Although endoscopic implant occlusion provides a new direction for the treatment of gastric ulcers, but the metal or plastic occluder needs to be removed, requiring a second intervention. Decellularized DRS (DDRS) is found with asymmetric water absorption rate, super‐compressive elasticity, shape memory, and biocompatibility, making it a suitable occluder for the gastric perforation. The efficacy in blocking gastric perforation and promoting healing is confirmed by endoscopic observation and tissue analysis during a 2‐month study.

Abstract Kidney stones are a pervasive disease with notoriously high recurrence rates that require more effective treatment strategies. Herein, tartronic acid is introduced as an efficient inhibitor of calcium oxalate monohydrate (COM) crystallization, which is the most prevalent constituent of human kidney stones. A combination of in situ experimental techniques and simulations are employed to compare the inhibitory effects of tartronic acid with those of its molecular analogs. Tartronic acid exhibits an affinity for binding to rapidly growing apical surfaces of COM crystals, thus setting it apart from other inhibitors such as citric acid, the current preventative treatment for kidney stones. Bulk crystallization and in situ atomic force microscopy (AFM) measurements confirm the mechanism by which tartronic acid interacts with COM crystal surfaces and inhibits growth. These findings are consistent with in vivo studies that reveal the efficacy of tartronic acid is similar to that of citric acid in mouse models of hyperoxaluria regarding their inhibitory effect on stone formation and alleviating stone‐related physical harm. In summary, these findings highlight the potential of tartronic acid as a promising alternative to citric acid for the management of calcium oxalate nephropathies, offering a new option for clinical intervention in cases of kidney stones.

Abstract The surface solar irradiance (SSI) is crucial for the land‐atmosphere processes and remarkably affected by the topography over the rugged areas. However, the Coupled Model Intercomparison Project Phase 6 (CMIP6) HighResMIP models adopting the parallel‐plane radiative scheme without considering the sub‐grid terrain solar radiative effects (3DSTSRE) overestimate the SSI in the rugged areas and the overestimation increases with the sub‐grid terrain complexity. To reduce the biases of the SSI simulations, this study offline corrects the SSI simulations of CMIP6 HighResMIP models by a 3DSTSRE scheme. Results show that the SSI biases produced by the HighResMIP models in the rugged regions can be significantly reduced by adopting the 3DSTSRE offline correction, and the improvements increase with the sub‐grid terrain complexity, indicating that considering the 3DSTSRE in the climate models to improve the SSI simulations over rugged areas is necessary.

Abstract In this study, we apply a three‐dimensional (3D) thermomechanically coupled higher‐order ice flow model to simulate the East Rongbuk Glacier (ERG), Mt. Everest. We first diagnostically investigate its present‐day ice dynamic features in 2009 and then prognostically simulate the glacier during the time period 2010–2100. The ice flow model is initialized based on a Robin‐type inversion method by conducting six sensitivity experiments relating to glacier thermal boundary conditions. We apply two different surface mass balance parameterizations in the model, and both of them can reproduce the observed ice volume loss (around 0.1 km3) during 2010–2020. We find that ERG is likely to experience maximum meltwater runoff at the year 2030 under the SSP‐126 scenario, while under SSP‐370 and ‐585 scenarios, the peak water will both likely occur at around 2060. The ice dynamics may contribute more to ice loss as climate warms in time.

Abstract Philadelphia chromosome (Ph)‐like acute lymphoblastic leukemia (ALL) is recognized for its genetic and clinical diversity. In this study, we identified a novel high‐risk subset of Ph‐like ALL, characterized by the activation of oncogenic signaling and the inactivation of the tumor suppressor gene IKZF1, resulting in a dismal outcome. The association between cytogenetic aberrations and clinical features was assessed on a cohort of 191 patients with Ph‐like ALL. Our findings revealed that patients with inactivation of IKZF1 combined with activation of oncogenic signaling (CRLF2/EPOR/JAK2 rearrangements or p‐CRKL/p‐STAT5 high expression) had the worst outcome (3‐year overall survival [OS] of 28.8% vs. 80.1% for others, p

Abstract In nature, spider web is an interwoven network with high stability and elasticity from silk threads secreted by spider. Inspired by the structure of spider webs, light‐driven liquid crystal elastomer (LCE) active yarn is designed with super‐contractile and robust weavability. Herein, a novel biomimetic gold nanorods (AuNRs) @LCE yarn soft actuator with hierarchical structure is fabricated by a facile electrospinning and subsequent photocrosslinking strategies. Meanwhile, the inherent mechanism and actuation performances of the as‐prepared yarn actuator with interleaving network are systematically analyzed. Results demonstrate that thanks to the unique “like‐spider webs” structure between fibers, high molecular orientation within the LCE microfibers and good flexibility, they can generate super actuation strain (≈81%) and stable actuation performances. Importantly, benefit from the robust covalent bonding at the organic–inorganic interface, photopolymerizable AuNRs molecules are uniformly introduced into the polymer backbone of electrospun LCE yarn to achieve tailorable shape‐morphing under different light intensity stimulation. As a proof‐of‐concept illustration, light‐driven artificial muscles, micro swimmers, and hemostatic bandages are successfully constructed. The research disclosed herein can offer new insights into continuous production and development of LCE‐derived yarn actuator that are of paramount significance for many applications from smart fabrics to flexible wearable devices.

Abstract Background Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR‐TKI) acquired resistance was an inevitably events in NSCLC treatment. Aims Intending to overcome the acquired resistance of EGFR‐TKI. Materials & Methods A clinical trial was, we enrolled 12 patients who were slowly progressing on first‐generation EGFR‐TKI, and added apatinib when the patients got slow progression. Results Seven patients were included in the efficacy analysis. The median PFS2 of apatinib combined with EGFR‐TKI was 8.2 months (95% CI, 7.3 m‐NA), and the total PFS reached 20.9 months (95% CI, 17.3 m‐NA) when plus PFS1. All the adverse events were manageable. The median PFS was significantly longer for circulating tumor DNA (ctDNA)‐cleared patients (8.4 months; 95% CI, 8.2‐NA) than for those ctDNA not cleared (7.1 months; 95% CI, 6.9‐NA) (p = 0.0082). Discussion The addition of apatinib did improve the duration of first‐generation EGFR‐TKI use, and the duration was better than the first‐line use of third‐generation EGFR‐TKI. Conclusion The addition of apatinib when the patients got slow progression after initial EGFR‐TKI therapy may be a good treatment option and the side effects are controllable. It is possible to monitor treatment efficacy using ctDNA.

Abstract Reserve mesenchyme cells (RMCs) of deer antlers have been considered as the promising cell source for repairing injury‐induced articular cartilage or cartilage degeneration. However, systematic investigation of RMC differentiation to repair injured cartilage and its combination with biomaterials has not been reported. The aim of this study was to evaluate the role of RMCs in combination with hyaluronic acid (HA) in promoting chondrogenic differentiation through simulating native environments and their efficacy in articular cartilage repair. The RMCs were cultured in vitro for the characterization of these cells, including morphology, surface marker expression, and multipotent differentiation potential (adipogenesis, chondrogenesis, and osteogenesis). When combined with HA in vitro, RMCs increased expression levels of the chondrogenic marker gene (COL II and COMP) but decreased levels of the hypertrophic marker gene (COL X). Using a rat articular cartilage defect model, we evaluated the effects of RMCs in combination with HA on cartilage defect repair at 4 and 8 weeks through macroscopical, histological, and immunohistochemical examinations. Compared with other groups, treatment with RMCs + HA reduced cartilage loss and degree of cartilage surface worn, whereas cartilage content was significantly increased. These results suggest that the combination of RMCs with HA can effectively repair cartilage defects. We believe that effective cartilage defect repair will benefit from the use of RMCs together with favorable biomaterials, such as HA.

Abstract Aims/Introduction The hemoglobin glycation index (HGI) represent the disparity between actual glycated hemoglobin measurements and predicted HbA1c. It serves as a proxy for the degree of non‐enzymatic glycation of hemoglobin, which has been found to be positively correlated with diabetic comorbidities. In this study, we investigated the relationship between HGI and non‐alcoholic fatty liver disease (NAFLD), along with other relevant biological markers in patients with diabetes. Materials and Methods This cross‐sectional study consisted of 3,191 adults diagnosed with type 2 diabetes mellitus. We calculated the predicted glycated hemoglobin levels based on fasting blood glucose levels. Multivariate binary logistic regression analysis was conducted to examine the correlation between the HGI and NAFLD. Hepatic steatosis was diagnosed using ultrasonography. Results Among all participants, 1,784 (55.91%) were diagnosed with NAFLD. Participants with confirmed NAFLD showed elevated body mass index, diastolic blood pressure, liver enzyme, total cholesterol, triglyceride, low‐density lipoprotein and uric acid levels compared with those without NAFLD. In the unadjusted model, participants in the last tertile of HGI were 1.40‐fold more likely to develop NAFLD than those in the first tertile (95% confidence interval 1.18–1.66; P

Abstract Background The emergence of proprotein convertase subtilisin/kexin type 9 inhibitors offered dyslipidemia patients an alternative to statins for lipid‐lowering treatment. Understanding patient and physician preferences for lipid‐lowering drugs may promote shared decision‐making and improve treatment outcomes. Methods This study utilized an online discrete choice experiment (DCE) to assess the relative importance (RI) of six attributes related to lipid‐lowering drugs, including frequency of administration, mode of administration, reduction of low‐density lipoprotein cholesterol (LDL‐C) level, risk of myopathy, risk of liver damage, and out‐of‐pocket monthly cost. Respondents were recruited from dyslipidemia patients and cardiovascular physicians in China. A mixed logit model and latent class analysis were employed to estimate the preference coefficient, marginal willingness to pay (mWTP), and RI of attributes. Ethical approval has been obtained for this study. Results A total of 708 patients and 507 physicians participated in the survey. Patients prioritized the ‘risk of liver damage’ (RI = 23.6%) with ‘mode of administration’ (RI = 19.2%) and ‘frequency of administration’ (RI = 18.8%) following closely. Contrarily, physicians prioritized the ‘reduction of LDL‐C level’ (RI = 33.5%), followed by ‘risk of liver damage’ (RI = 26.0%) and ‘risk of myopathy’ (RI = 16.1%). Patients placed a higher value on ‘frequency of administration’ (p

Abstract Introduction Microbial‐driven litter decomposition contributes significantly to global carbon (C) turnover. Fungi play central roles in the degradation process due to their ability to hydrolyse recalcitrant litter components. The spatiotemporal variations in taxonomic composition of litter‐degrading fungi have been well documented. However, associated variations in litter‐degradation‐related functional composition of fungal communities remain unexplored. Materials and Methods In this study, a 16‐week field‐based buried rice straw experiment was conducted at three experimental sites across subtropical China in combination with laboratory 13C‐straw‐based DNA stable‐isotope probing (DNA‐SIP) microcosm experiments. Amplicon sequencing combined with shotgun metagenomic sequencing were the approaches of choice. Results The field experiment showed that the taxonomic composition of the straw‐degrading fungal community was highly variable while the functional composition was rather stable. The higher permutational multivariate analysis of variation F scores (20.904−48.660) and the steeper slopes (1.92 E‐04−4.15E‐04) of the distance decay relationship for taxonomic composition than for function across periods (with lower F scores = 7.047−21.601 and gradual slopes = −1.33 E‐05 to −1.03E‐04) both indicated that the spatiotemporal patterns of functional composition in litter‐degrading fungi community were more conserved. The laboratory DNA‐SIP confirmed the field observations and showed that the conserved functional composition in litter‐degrading fungi was underpinned by a high functional redundancy of Basidiomycota. Conclusion Function and taxonomy of litter‐degrading fungi were decoupled. The functional composition of the litter‐degrading fungal community was highly conserved in space and time, the taxonomic composition less so. The main drivers behind the observed taxonomic decoupling are probably/most likely functional redundancy and metabolic niche selection resulting in conservation of function, with changing environmental conditions and dispersal limitation drove the observed high taxonomic turnover of the community over the course of the litter degradation progression. Our study provides valuable insights in the ecology of fungi and their roles in in global C sequestration for ecosystem sustainable development.

Abstract Inflammation contributes to development of idiopathic pulmonary arterial hypertension (IPAH), and tumor biomarkers can reflect inflammatory and immune status. We aimed to determine the value of tumor biomarkers in IPAH comprehensively. We enrolled 315 patients with IPAH retrospectively. Tumor biomarkers were correlated with established indicators of pulmonary hypertension severity. Multivariable Cox regression found that AFP (hazard ratio [HR]: 1.587, 95% confidence interval [CI]: 1.014–2.482, p = 0.043) and CA125 (HR: 2.018, 95% CI: 1.163–3.504, p = 0.013) could independently predict prognosis of IPAH. The changes of AFP over time were associated with prognosis of patients, each 1 ng/mL increase in AFP was associated with 5.4% increased risk of clinical worsening (HR: 1.054, 95% CI: 1.001–1.110, p = 0.046), enabling detection of disease progression. Moreover, beyond well‐validated PH biomarkers, CA125 was still of prognostic value in the low‐risk patients (HR: 1.014, 95% CI: 1.004–1.024, p = 0.004), allowing for more accurate risk stratification and prediction of disease outcomes. AFP and CA125 can serve for prognosis prediction, risk stratification, and dynamic monitor in patients with IPAH.

Abstract Introduction Although anti‐CD19 chimeric antigen receptor (CAR) T cell therapy was approved as a very effective salvage strategy in relapsed/refractory (R/R) B cell lymphoma, the experience in R/R gastrointestinal (GI) lymphoma is still insufficient. Methods We summarized the efficacy and side effects of anti‐CD19 CAR T‐cell therapy in 12 patients with R/R GI lymphoma. Based on literature, the R/R GI lymphoma patients were divided into subgroups with different characteristics: Bulky/No bulky disease, Gastric/Gastrointestinal involvement, Gastrointestinal/Combined extra‐gastrointestinal lesions, Ulcer/Lumps or nodules type, With/without gastrointestinal bleeding. Results The objective response rate (ORR) was 66.67% in these 12 patients. The ORR was 83.33% in no bulky disease group, 80.00% in gastric involvement group, 100.00% in ulcer type group, and 80.00% in no gastrointestinal bleeding group. The CR rate was 33.33% in these 12 patients. The CR was 50.0% in no bulky disease group, 60.00% in gastric involvement group, and 80.00% in ulcer type group. The PFS and OS rate of the 12 patients at 6 months after infusion were 54.55% and 58.33%, respectively. The overall survival (OS) at 6 months was higher in no bulky disease group. There was no difference of the OS or the progression free survival (PFS) at 6 months between the other groups. The mean peak of CAR‐T cells and Cytokine Release Syndrome (CRS) grade were higher in gastrointestinal lesions group. The mean peak of IFN‐γ and CRS grade were higher in gastrointestinal bleeding group. Four out of six patients in group of gastrointestinal lesions group were patient with high tumor burden. Patients with gastrointestinal involvement only were at higher risk for gastrointestinal bleeding. Conclusions The ORR and CR of high tumor load, gastrointestinal involvement, lumps or nodules type and gastrointestinal bleeding group were lower. The CRS grade was higher in gastrointestinal lesions group and in gastrointestinal bleeding group. Patients with gastrointestinal involvement only were at higher risk for gastrointestinal bleeding.

Abstract Environmental stressors and disturbances can cause changes in an ecosystem's community structure, which can be reflected in its functional diversity. As grazing intensity increases, this causes changes in the environment that inevitably lead to changes in the community structure, which can especially affect rodents due to their sensitivity to the environment. The effects of grazing prohibition and overgrazing on the functional diversity of desert rodent communities in Alxa were studied in April, July, and October of 2018–2020. The trap‐day method was used to study rodent communities in disturbed habitats. Five functional traits were selected and quantified: nutrition, life history, physiology, morphology, and activity rhythm. The results showed that: (1) The species composition of rodent communities in the Alxa Desert in spring and autumn was significantly correlated with the functional traits of the hibernation, reproductive cycle, and feeding habits. The species composition in the summer was only significantly correlated with the functional traits of reproductive cycle and diet. (2) The effects of overgrazing on the functional diversity of rodents in desert areas have significant temporal and spatial characteristics. (3) In spring and summer, overgrazing made the Functional Richness index of the rodent community lower than that of areas where grazing is prohibited, but the Functional Evenness index was higher than that of grazing‐prohibition areas. In autumn, overgrazing increased the Functional Richness index of the rodent community and decreased the Functional Evenness index. The Functional Divergence index was higher in overgrazing areas than in grazing‐prohibited ones. These results suggest that, in spring and summer, overgrazing reduced the ecological space utilization ability of rodent communities; however, the impact on the degree of utilization of community resources is more comprehensive. In autumn, overgrazing increases the ability of rodent communities to use ecological space but reduces resource efficiency. Overgrazing makes the niche differentiation of rodent communities higher, the degree of overlap lower, and the competition between species weaker. Therefore, overgrazing will affect the functional diversity of the community through the utilization of ecological space, resource utilization, interspecific competition, and niche.

Abstract In this study, a surface plasmon resonance sensor for detecting haemoglobin concentration based on a D‐type optical fibre with a graphene‐gold surface architecture is proposed. The graphene‐gold surface architecture included a 50 nm thick gold film and monolayer graphene film, which were decorated on a 10 mm long D‐type sensing region. The proposed sensor worked in wavelength interrogation mode, with the light wavelength ranging from 400 to 1100 nm. The authors realised the D‐type optical fibre surface polishing process, the gold film vacuum coating process, and the chemical‐vapour‐deposited graphene's wet transfer process. Furthermore, the fabricated sensors were used to detect the refractive index (RI) of haemoglobin samples, which varied from 1.331 to 1.346. Experiment results show that the fitted RI sensitivity of the sensor decorated with gold and graphene reaches 1874.41 nm/RIU, 4.995% higher than that of the sensor decorated only with gold. The concentration sensitivity of the sensor coated with gold and graphene film is 4.96 nm/(g/dL), and the proposed sensor can provide a resolution of 20.2 mg/dL for haemoglobin concentration detection.

Abstract Background Lung adenocarcinoma (LUAD) is the leading cause of death among cancer diseases. The tumorigenic functions of AHNAK2 in LUAD have attracted more attention in recent years, while there are few studies which have reported its high molecular weight. Methods The mRNA‐seq data of AHNAK2 and corresponding clinical data from UCSC Xena and GEO was analyzed. LUAD cell lines were transfected with sh‐NC and sh‐AHNAK2, and cell proliferation, migration and invasion were then detected by in vitro experiments. We performed RNA sequencing and mass spectrometry analysis to explore the downstream mechanism and interacting proteins of AHNAK2. Finally, western blot, cell cycle analysis and CO‐IP were used to confirm our assumptions regarding previous experiments. Results Our study revealed that AHNAK2 expression was significantly higher in tumors than in normal lung tissues and higher AHNAK2 expression led to a poor prognosis, especially in patients with advanced tumors. AHNAK2 suppression via shRNA reduced the LUAD cell lines proliferation, migration and invasion and induced significant changes in DNA replication, NF‐kappa B signaling pathway and cell cycle. AHNAK2 knockdown also caused G1/S phase cell cycle arrest, which could be attributed to the interaction of AHNAK2 and RUVBL1. In addition, the results from gene set enrichment analysis (GSEA) and RNA sequencing suggested that AHNAK2 probably plays a part in the mitotic cell cycle. Conclusion AHNAK2 promotes proliferation, migration and invasion in LUAD and regulates the cell cycle via the interaction with RUVBL1. More studies of AHNAK2 are still needed to reveal its upstream mechanism.

Transcription factors (TFs) are key players in the regulation of gene transcription in mammalian cells. Although high‐throughput screening can be used to identify differentially expressed genes between comparable groups, the precision of the corresponding datasets is far from optimal. Here, we establish Target Finder of Transcription Factor (TFoTF), a method for the prediction of TF‐targeted genes from genomic and cancer‐related transcriptomic data. TFoTF can identify potential TF‐targeted genes in large cancer datasets and efficiently estimate correlations between TFs and their targeted genes with a significant level of specificity, sensitivity, and precision. Overall, TFoTF is an easy‐to‐use tool that can be utilized to generate testable hypotheses in the context of cancer research projects.

Abstract Background The correlation between epithelial‐mesenchymal transition (EMT) and osteosarcoma (OS) has been widely reported. Integration of the EMT‐related genes to predict the prognosis is significant for investigating the mechanism of EMT in OS. Here, we aimed to construct a prognostic EMT‐related gene signature for OS. Methods Transcriptomic and survival data of OS patients were downloaded from Therapeutically Applicable Research to Generate Effective Treatments (TARGET) and Gene Expression Omnibus (GEO). We performed univariate Cox regression, least absolute shrinkage and selection operator (LASSO) regression, and stepwise multivariate Cox regression analysis to construct EMT‐related gene signatures. Kaplan–Meier analysis and time‐dependent receiver operating characteristic (ROC) were applied to evaluate its predictive performance. GSVA, ssGSEA, ESTIMATE, and scRNA‐seq were performed to investigate the tumor microenvironment, and the correlation between IC50 of drugs and ERG score was investigated. Furthermore, Edu and transwell experiments were conducted to assess the malignancy of OS cells. Results We constructed a novel EMT‐related gene signature (including CDK3, MYC, UHRF2, STC2, COL5A2, MMD, and EHMT2) for outcome prediction of OS. According to the signature, patients stratified into high‐ and low‐ERG‐score groups exhibited significantly different prognoses. ROC curves and Kaplan–Meier analysis revealed a promising performance of the signature with external validation. GSVA, ssGSEA, ESTIMATE algorithm, and scRNA‐seq excavated EMT‐related pathways and suggested the correlation between ERG score and immune activation. Notably, the pivotal gene CDK3 was upregulated in OS tissue and positively related to OS cell proliferation and migration. Conclusion Our EMT‐related gene signature might reference OS risk stratification and guide clinical strategies as an independent prognostic factor in OS.

Abstract Severe lesions in vessels need to be treated with implantable interventional devices such as vascular stents, which should be anti‐coagulantion, anti‐proliferation and promoting endothelialisation. Nitric oxide (NO), as a physiological gas signalling molecule, play an important role in revascularisation. Catalysing the release of NO from endogenous donors has already been widely favoured to treatment strategy for lesioned vessels. In this work, a series of copper‐loaded coatings (titanium nanotube (TNT)/PDA‐Cu) was fabricated by TNTs combined with polydopamine and ions, which achieve controlled in situ catalytic release of NO. This strategy could effectively immobilised copper ions on TNTs, and promoted the proliferation of endothelial cells and inhibited growth of smooth muscle cells (SMCs) via the performance of NO, as well as restrain the platelet adhesion. With the multiple function, TNT/PDA‐Cu provides a promise approach for promoting endothelialisation, anti‐coagulation and inhibition of SMC proliferation via copper‐loaded coatings on TNTs.

Abstract Chitosan has good biocompatibility, in vivo biodegradability and certain physiological activity, which can be used as a drug carrier to stabilise and protect drug components, causing the promotion of drug absorption and controlling drug release. Using graphene oxide (GO) as a cross‐linking agent, the functional groups in its lamellar structure can interact effectively with the functional groups in chitosan molecules, leading to enhanced mechanical properties and optimize the controlled drug‐release behaviour. GO/chitosan composite films were prepared by the solution mixing method with various GO content and exhibit many hydrogen bonds between the GO and chitosan. There were no obviously agglomerated GO particles in the surface of composite films, and the lamellar structure can be observed in the cross section of the composite films. Differential thermal analysis (DTA) indicated that the addition of GO increased the stability of the chitosan film. The baicalin‐loaded GO/Chitosan also exhibited pH dependent release behaviour, with an increasing release amount and rate at lower pH medium. In addition, the result of biological evaluations showed that the GO/Chitosan films had good cytocompatibility in vitro and histocompatibility at appropriate GO concentrations. This investigation offered a new pH‐dependent drug carrier potentially applied for tumour and atherosclerosis treatment.

Abstract Synovial sarcoma is a highly malignant tumor that accounts for 10% of all soft tissue sarcomas. Primary pulmonary synovial sarcoma (PPSS) is extremely rare, and its prognosis is poor. A diagnosis is usually established after other primary lung malignancies or metastatic extrathoracic sarcomas have been excluded. Therefore, it is often misdiagnosed. In this study, we report the case of a 38‐year‐old woman who was misdiagnosed as having pleural mesothelioma and finally endured surgery to remove the tumor. The tumor showed SYT‐SSX fusion transcripts and was diagnosed as PPSS after combining histopathological and immunohistochemical analyses. Finally, we determined some biomarkers through whole‐exome sequencing (WES) to improve the diagnosis and treatment strategies.

Vascular calcification (VC) has a high incidence in patients with chronic kidney disease, which is a worldwide public health problem and presents a heavy burden to society. Hypoxia-inducible factor (HIF)-1α, the active subunit of HIF-1, has been reported to play a vital role in high phosphate-induced VC. However, the underlying mechanism is still undetermined, and effective treatment is unavailable. In the present study, human aortic smooth muscle cells (HASMCs) were cultured under normal or high phosphate media conditions. HIF-1α small interfering RNA and overexpression plasmids were employed to regulate HIF-1α expression. Phosphonoformic acid was employed to restrain the function of type III sodium-dependent phosphate cotransporter 1 (Pit-1). The expression levels of HIF-1α, Pit-1, runt-related transcription factor 2 (Runx2), and smooth muscle 22 alpha (SM22α) were evaluated, and the calcium contents were also examined. Cell growth was assessed using an MTT assay. High phosphate stimulation caused an upregulation in HIF-1α and Pit-1 expression levels and induced calcium depositions in HASMCs. Upregulation of Runx2 expression accompanied by downregulation of SM22α expression was observed in the high phosphate group. Following the suppression of HIF-1α expression, there was a concomitant attenuation in Pit-1 expression, calcium deposition, the alteration of phenotypic transition marker genes, and vice versa. The most serious calcium deposition was noted in HASMCs cultured under high phosphate conditions which were pretreated with a HIF-1α overexpression plasmid. However, when the biological functions of Pit-1 were restrained, the putative serious calcium deposition was not formed even in HASMCs transfected with a HIF-1α overexpression plasmid. The findings confirmed that HIF-1α regulated Pit-1 expression and exerted its pro-calcifying effect through Pit-1, which identified HIF-1α and Pit-1 as therapeutic targets for high phosphate-induced VC.

Abstract Purpose Several studies have demonstrated the effectiveness of anti‐angiogenic drugs in combination with immune checkpoint inhibitors (ICIs) in patients with microsatellite stable (MSS) or mismatch repair proficient (pMMR) metastatic colorectal cancer (mCRC). However, whether combination radiotherapy (RT) can further improve the prognosis of mCRC patients after second‐line treatment remains to be explored. Methods Retrospective analysis of data from mCRC patients who received anti‐angiogenic targeted therapy (TT) and immunotherapy (IT) with or without RT after the failure of standard therapy. Progression‐free survival (PFS), overall survival (OS), objective response rate (ORR), disease control rate (DCR), and safety were evaluated. Results A total of 82 patients who received TT + IT were analyzed. For RT group (n = 42) versus NRT group (n = 40), ORR was 21.4% (9/42) versus 5.0% (2/40); DCR was 83.8% (35/42) versus 65.0% (26/40). Compared with NRT group, RT improved PFS (median: 5.0 vs. 3.6 months; p = 0.04) and OS (median: 15.2 vs. 7.2 months; p = 0.01). In addition, in the population receiving RT, the PFS of RT sequential/simultaneous TT + IT was superior to TT + IT sequential RT (median: 7.1 vs. 6.2 vs. 3.5 months, p = 0.004). Multivariate analysis suggested RT was an independent prognostic factor for PFS and OS. No treatment‐related deaths were reported. Conclusions Compared with TT + IT, RT combined with TT + IT improved survival outcomes in MSS/pMMR mCRC patients, with manageable toxicity. RT sequential/simultaneous TT + IT treatment is expected to be the optimal strategy for MSS/PMMR mCRC.