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As online news grows exponentially, hotspot classification is becoming increasingly important. Although traditional machine learning-based text classification methods, such as plain Bayes, support vector machines (SVMs), and classification trees, provide a certain degree of interpretability, they are often incapable of handling complex semantic relations, which frequently results in poor classification accuracy. To address this issue, in this study we introduce a novel deep learning-based text classification (TC) method based on a convolutional neural network (CNN), long short-term memory (LSTM), and an attention mechanism. This method accurately predicts news popularity by combining the feature extraction ability of the CNN, the sequence modeling ability of LSTM, and the weighted summation ability of the attention mechanism. The experimental results demonstrated that, compared to other deep learning models, the proposed method achieved a higher accuracy, more effectively accounted for the context of the text data, and addressed the problem of poor classification accuracy. Along with model selection, feature engineering was also the key to improving the accuracy. Accordingly, we developed a plain Bayesian TC model based on feature extraction, using word embeddings to convert text into richer vector representations. Then we combined the model with the different plain Bayes distributions, proving that the polynomial plain Bayes was the most suitable model for TC. Consequently, we added the feature word classification expressiveness index to improve the term frequency-inverse document frequency (TF-IDF) feature extraction, which produced a classification accuracy of 96%. This demonstrates that the improved model is superior at understanding and classifying text.

With the continuous consumption of energy, the ecology is becoming increasingly harsh. The penetration of environmentally friendly new energy, mainly symbolized via wind and solar energy, in the world new energy generation is constantly increasing, leading to changes in the modern power grid structure. Moreover, the intermittent as well as fluctuating characteristics of wind and solar power generation have enhanced its power flow imbalance. In the power network, voltage is a highly regarded indicator via measuring system stability, and therefore can be used as an indicator for measuring the stability of new power grids. This article analyzes the power flow distribution of the node system under the IEEE 33 with energy storage as well as reconstruction mode, from the perspective of the high penetration wind and solar energy storage and distribution power grid with the continuous augmentation of new energy generations. The voltage of characteristic nodes is selected as the voltage stability index, and the detecting method of the voltage fluctuation index of system nodes is established with the goal of examining the voltage fluctuation index during the continuous increase of wind and solar penetration, which provides a reference for the study of voltage stability theory and practice in high penetration wind and solar energy storage and distribution power grids.

ObjectiveTo report a survey on an outbreak of Pontiac fever associated with history of exposure to a bath center in Shanghai in 2020 for providing a reference to investigation of relevant epidemics. MethodsA questionnaire survey was conducted among 139 cases of fever of unknown origin (all with the history of exposure to a bath center) reported by fever clinics during 18 – 21 December, 2020 in Fengxian district of Shanghai. A subsequent case- control study was carried out among 74 cases with explicit information on activities in the bath center and 44 healthy controls ever exposed to the bath center during the same period. Deep throat sputum samples were collected from 15 cases for nucleic acid detections of multiple pathogens with reverse transcription-polymerase chain reaction (RT-PCR) and Legionella culture with buffered charcoal yeast-extract (BCYE) plate. Residual chlorine detector was used in field study to measure residual chlorine in water of various pools in the bath center. Logistic regression analysis was adopted to explore factors correlated with the incidence of the fever of unknown origin. ResultsThe most common observed symptoms among the 139 fever cases were weakness (proportion: 51.08%, case number: 71), headache (41.73%, 58), and myalgia (41.73%, 58). The median incubation period for the symptom incidence was 36 hours, with an range of 12 – 68 hours. In the case-control study, univariate analysis revealed that bathing in pools of the bath center was a risk factor for fever incidence (odds ratio [OR] = 9.036, 95% confidence interval [95%CI]: 3.521 – 23.189); multivariate logistic regression analysis also showed that the cases ever bathing in a special pool for body beatification was at a significantly increased risk of fever incidence (OR = 5.456, 95%CI: 3.521 – 23.189). Legionella nucleic acid was detected in 4 cases. Legionella strains were cultured in 4 environment swab samples collected in the bath center. The residual chlorine of water in two of bathing pools (0.2 mg/L and 0.09 mg/L) were lower than that of the national standard. ConclusionBased on epidemiologic evidence, clinical symptom of the cases, and laboratory test results, the outbreak of fever of unknown origin was a Pontiac fever caused by Legionella associated with the exposure to a bath center.

Abstract With a detailed historical analysis of postwar Japanese female employment, this article presents three underlying policy perspectives that shape the fact that women have less chance for high-quality employment despite the rising labor force participation rate. The three assumptions of women's role in policy-making are as follows: (1) women as housewives—dependent on males, do not earn a living salary and are thus marginalized in the labor market; (2) women as individuals pursuing gender equality should be treated without discrimination in the workplace; and (3) women as key drivers for economic growth can contribute to the solution to labor shortages. The postwar history of Japanese female employment is full of interaction among these three policy perspectives. Generally, it passes through phases of the dominance of the housewife perspective, the reformation from the equality perspective and the counterattack from the housewife perspective, as well as the mainstreaming of the economic actor perspective.

In this work, an accurate temperature-dependent drain current $I_{\mathrm { D}}$ fluctuation model valid from 10 to 300 K was proposed for 18 nm ultra-thin body and buried oxide (UTBB) n-channel field effect transistors (n-FETs). The temperature dependence of $I_{\mathrm { D}}$ fluctuation was characterized and investigated from 300 K down to 10 K. In moderate inversion mode, $I_{\mathrm { D}}$ fluctuation is more severe at sub-100 K while in the strong inversion mode, it still can be overshadowed by the charge screening effect. Cryogenic virtual source (CVS) device model was used to extract and analyze the carrier density and mobility which are used in the current fluctuation model. The current fluctuation model was experimentally verified under different inversion conditions, showing it can be used to analyze and optimize the flicker noise in the low temperature (LT) circuit applications.

FESS (flywheel energy storage system) motor is used in important load fields for instance rail transit; meanwhile the power flow is formed through the connection between FESS (flywheel energy storage system) and power grid system, which can critically improve the power flow fluctuation caused by new energy grid integration regarding wind and photovoltaic generation concerning that the motor speed in FESS is related to its energy storage capacity. Aiming at the limitation of current low motor speed in the FESS, this article puts forward a high-speed grid-connected FESS, and designs a model via the proposed dual-PWM two-stage control form, which is named as double closed-loop control. In this article, the FESS, as well as the power grid system, is analyzed and simulated in three stages: charging, pre-grid connection and grid connection. In this way, the flywheel motor speed and DC bus voltage signal are sampled to design the flywheel motor side with the proposed method. Then the grid-connected double closed-loop control method is designed for the sampling observation points, which realizes the efficient design on the control strategy of proposed high-speed grid-connected FESS and the verification of voltage and current parameters. The simulation experiments show that the operation process of the grid-connected FESS motor obtains its rapid speed response characteristic, which can meet the proposed design requirements during the charging and discharging process.

The inflammatory microenvironment and neurotoxicity can hinder neuronal regeneration and functional recovery after spinal cord injury. Ruxolitinib, a JAK-STAT inhibitor, exhibits effectiveness in autoimmune diseases, arthritis, and managing inflammatory cytokine storms. Although studies have shown the neuroprotective potential of ruxolitinib in neurological trauma, the exact mechanism by which it enhances functional recovery after spinal cord injury, particularly its effect on astrocytes, remains unclear. To address this gap, we established a mouse model of T10 spinal cord contusion and found that ruxolitinib effectively improved hindlimb motor function and reduced the area of spinal cord injury. Transcriptome sequencing analysis showed that ruxolitinib alleviated inflammation and immune response after spinal cord injury, restored EAAT2 expression, reduced glutamate levels, and alleviated excitatory toxicity. Furthermore, ruxolitinib inhibited the phosphorylation of JAK2 and STAT3 in the injured spinal cord and decreased the phosphorylation level of nuclear factor kappa-B and the expression of inflammatory factors interleukin-1β, interleukin-6, and tumor necrosis factor-α. Additionally, in glutamate-induced excitotoxicity astrocytes, ruxolitinib restored EAAT2 expression and increased glutamate uptake by inhibiting the activation of STAT3, thereby reducing glutamate-induced neurotoxicity, calcium influx, oxidative stress, and cell apoptosis, and increasing the complexity of dendritic branching. Collectively, these results indicate that ruxolitinib restores glutamate homeostasis by rescuing the expression of EAAT2 in astrocytes, reduces neurotoxicity, and effectively alleviates inflammatory and immune responses after spinal cord injury, thereby promoting functional recovery after spinal cord injury.

Radar is a valuable tool for noncontact vital-sign detection. Interference from respiratory harmonics presents a major challenge in radar cardiogram (RCG) extraction—mainly when the frequency of respiratory harmonics is close to or equal to that of the cardiac sub-signals. To address this problem, a respiratory harmonic suppression method employing correlation analysis and an optimized feedback notch filter is proposed, which is based on 7.29 GHz center-frequency impulse-radio ultra-wideband radar. A genetic optimization algorithm is employed to optimize the parameters of the notch filter. Performance comparison analysis is conducted on the conventional notch filter and the feedback notch filter. Contact (ECG) and non-contact (RCG) data from 10 subjects were analyzed. The results verified that the performance of the optimized feedback notch filter is much better than that of the conventional notch filter in overshoot, bandwidth, and notch depth, and the proposed method can effectively locate, identify, and suppress respiratory harmonics from the RCG band while preserving heartbeat components. Consequently, this approach markedly enhances the precision of RCG extraction. The technique shows considerable promise for deployment in diverse practical settings, including non-contact auxiliary monitoring systems in both intelligent medical environments and home healthcare.

Tuberous sclerosis complex (TSC) is an autosomal dominant hereditary disease that affects multiple organs and systems throughout the body. TSC-associated kidney disease is the leading cause of death in adult TSC patients. This article retrospectively analyzed the characteristics of one TSC-related renal giant angiomyolipoma(RAML)treated with surgery. The patient, 25 years old, was diagnosed with tuberous sclerosis complex in 2000 due to multiple maculopapular rashes on both cheeks. At a regular follow-up in July 2019, imaging examinations revealed a tumor in the left lower quadrant with a maximum cross-sectional area of 16 cm×7 cm. Genetic testing showed a loss of heterozygosity in the EX18_ 41 of TSC2. After the diagnosis was confirmed, open left partial nephrectomy was performed, during which multiple tumors were found on the kidney surface and the largest one was located on the ventral side with a diameter of approximately 20 cm. After the renal artery was occluded, kidney tumors were completely enucleate. Postoperative pathological confirmed the diagnosis of angiomyolipoma. This case provides a reference for the treatment of TSC-related renal giant hamartoma.

Correctly performed Cardiopulmonary Resuscitation (CPR) is a critical element in preventing deaths caused by cardiac arrest (CA). To improve the outcomes and quality of CPR, stand-alone devices that monitor the performance and provide feedback have been developed. However, these devices have multiple limitations due to their rigidity and stiffness. Furthermore, most of the devices do not account for complete chest recoil as a metric of quality CPR, reducing the quality of compressions. To overcome these limitations, this study proposes smart gloves equipped with e-textiles-based pressure sensors and inertial measurement units (IMUs) to monitor the quality adult CPR in real-time. The prototype development combined data-driven design and Research Through Design (RtD) methods, taking into account not only the accuracy but also the usability of the smart gloves. A preliminary study with nine participants performing CPR on a doll was conducted to evaluate the accuracy and wearability of the smart gloves. Study results show that the smart gloves accurately detect chest compression parameters, including compression depth, compression rate, chest recoil and interruption between compressions based on the intelligent fusion of pressure sensors and IMUs. In addition, the newly developed smart gloves are lightweight, hand adaptable, and easily replicable as an alternative for hard case devices. The design methods used in this study can be applied to design other accessible and comfortable wearable devices in healthcare settings.

Objective: This study was designed to evaluate the feasibility, efficacy, and safety of percutaneous ureteroscopy laser unroofing as an ambulatory surgery for symptomatic simple renal cysts under multilevel paravertebral nerve block anesthesia. Methods: From December 2015 to September 2017, 33 simple renal cyst patients who had surgical indications were enrolled. Under ultrasound guidance, the T10/T11, T11/T12, and T12/L1 paravertebral spaces were identified, and 7–10 mL 0.5% ropivacaine was injected at each segment. Then a puncture needle was placed inside the cyst cavity under ultrasonic monitoring. A guidewire was introduced followed by sequential dilation up to 28/30 Fr. The extra parenchymal portion of the cyst wall was dissociated and incised using a thulium laser, and a pathological examination was performed. Results: Sensory loss to pinprick from T8 to L1 and sensory loss to ice from T6 to L2 were observed in all patients. None of the patients complained of pain during surgery. No serious complications occurred perioperatively. After the surgery, all patients recovered their lower limb muscle strength quickly, got out of bed, resumed oral feeding, and left the hospital within 24 h of admission. The pathologic diagnosis of all cyst walls was a simple renal cyst. The mean follow-up was 35.8 months. At the end of follow-up, the cyst units were reduced in size by more than 50% compared to the preoperative size, and no patient experienced a recurrence. Conclusion: Multi-level paravertebral nerve block for percutaneous ureteroscopy laser unroofing as an ambulatory surgery mode is feasible, safe, and effective for the treatment of simple renal cysts in selected patients.

The Yunnan-Tibet railway is located in the southeastern edge of the Tibetan Plateau, where tectonic plates collide and the terrain rapidly changes. Along the line, active faults develops, earthquakes occur frequently, and the intensity of earthquakes is strong, moreover, geological disasters are frequent. Hence its planning, construction, and long-term operation face severe geological safety risks. More than 10 active fault zones have been developed along the Shangri La-Bomi section of the Yunnan-Tibet railway, including the Haba-Yulong Snow Mountain east foot fault zone, Zhongdian-Longpan fault zone, Deqin-Zhongdian-Daju fault zone, Weixi-Qiaohou fault zone, Jinsha river fault zone, Batang fault zone, Lancang river fault zone, Nujiang fault zone, Bianba-Luolong fault zone, and Jiali-Chayu fault zone. These active fault zones are highly affected by fault slip dislocations, creep deformation, and the risk of triggering strong earthquakes. There is an urgent need to determine the geometric distribution and activity of regional active fault zones. Based on previous research, remote sensing interpretation, and field investigations, this article summarizes and analyzes the geometric distribution, kinematic properties, slip rate and paleoearthquake sequence of more than 10 active fault zones along the route, providing basic information for the planning, construction and safe operation of major national projects such as the Yunnan-Tibet railway.

Abstract Background CD56 has been observed in malignant tumours exhibiting neuronal or neuroendocrine differentiation, such as breast cancer, small-cell lung cancer, and neuroblastoma. Abnormal glycosylation modifications are thought to play a role in regulating tumour cell proliferation, migration, and invasion. Nevertheless, the exact roles and molecular mechanisms of CD56 and polysialylated CD56 (PSA-CD56) in the development and progression of clear cell renal cell carcinoma (ccRCC) remain elusive. Here we unveil the biological significance of CD56 and PSA-CD56 in ccRCC. Methods In this study, we employed various techniques, including immunohistochemistry (IHC), RT-qPCR, and western blot, to examine the mRNA and protein expression levels in both human ccRCC tissue and cell lines. Lentivirus infection and CRISPR/Cas9 system were utilized to generate overexpression and knockout cell lines of CD56. Additionally, we conducted several functional assays, such as CCK-8, colony formation, cell scratch, and transwell assays to evaluate cell growth, proliferation, migration, and invasion. Furthermore, we established a xenograft tumor model to investigate the role of CD56 in ccRCC in vivo. To gain further insights into the molecular mechanisms associated with CD56, we employed the Hedgehog inhibitor JK184 and the β-catenin inhibitor Prodigiosin. Results CD56 was significantly overexpressed in both human ccRCC tissues and renal cancer cell lines compared to adjacent normal tissues and normal renal epithelial cells. In vitro and in vivo experiments revealed that the knockout of CD56 inhibited the proliferation, migration, and invasion capabilities of ccRCC cells, whereas the overexpression of PSA-CD56 promoted these capacities. Finally, PSA-CD56 overexpression was found to activate both the Hedgehog and Wnt/β-catenin signaling pathways. Conclusion Our findings demonstrate that the oncogenic function of CD56 polysialylation plays a vital role in the tumorigenesis and progression of ccRCC, implying that targeting PSA-CD56 might be a feasible treatment target for ccRCC.

AIM: To analyze the efficacy and safety of safflor yellow injection combined with anti-vascular endothelial growth factor(VEGF)drug in the treatment of non-ischemic central retinal vein occlusion(CRVO).METHODS: A total of 91 patients(91 eyes)with non-ischemic CRVO complicated with macular edema who were treated in the Affiliated Eye Hospital of Nanchang University from April 2017 to December 2021 were selected. They were randomly divided into observation group, with 47 cases(47 eyes)treated with safflor yellow injection combined with intravitreal injections of ranibizumab, and control group with 44 cases(44 eyes)who were treated with intravitreal injections of ranibizumab. Followed-up for 11mo, the best corrected visual acuity(BCVA)and macular central retinal thickness(CRT)of the two groups were observed and the cases of complete absorption of retinal hemorrhage, the times of anti-VEGF drug injections, the cases of ischemic CRVO, and the occurrence of systemic or ocular complications were recorded.RESULTS: At 1, 2, 3, 5, 7, 9 and 11mo after treatment, the BCVA and CRT in both groups were significantly improved compared with those before treatment, and BCVA and CRT in the observation group were superior to the control group at 3, 5, 7, 9 and 11mo after treatment(all P

Background: JianPiYiFei (JPYF) II granules are a Chinese medicine for the treatment of chronic obstructive pulmonary disease (COPD). However, the main components and underlying mechanisms of JPYF II granules are not well understood. This study aimed to elucidate the potential mechanism of JPYF II granules in the treatment of COPD using network pharmacology, molecular docking, and molecular dynamics simulation techniques. Methods: The active compounds and corresponding protein targets of the JPYF II granules were found using the TCMSP, ETCM, and Uniport databases, and a compound–target network was constructed using Cytoscape3.9.1. The COPD targets were searched for in GEO datasets and the OMIM and GeneCards databases. The intersection between the effective compound-related targets and disease-related targets was obtained, PPI networks were constructed, and GO and KEGG enrichment analyses were performed. Then, molecular docking analysis verified the results obtained using network pharmacology. Finally, the protein–compound complexes obtained from the molecular docking analysis were simulated using molecular dynamics (MD) simulations. Results: The network pharmacological results showed that quercetin, kaempferol, and stigmasterol are the main active compounds in JPYF II granules, and AKT1, IL-6, and TNF are key target proteins. The PI3K/AKT signaling pathway is a potential pathway through which the JPYF II granules affect COPD. The results of the molecular docking analysis suggested that quercetin, kaempferol, and stigmasterol have a good binding affinity with AKT1, IL-6, and TNF. The MD simulation results showed that TNF has a good binding affinity with the compounds. Conclusions: This study identified the effective compounds, targets, and related underlying molecular mechanisms of JPYF II granules in the treatment of COPD through network pharmacology, molecular docking, and MD simulation techniques, which provides a reference for subsequent research on the treatment of COPD.

Abstract Background and Objective The neutrophil–lymphocyte ratio (NLR) and platelet–lymphocyte ratio (PLR) were significant and succinct indicators of systemic inflammation. We assessed the influence of stereotactic body radiotherapy (SBRT) on NLR and PLR in patients with locally advanced non‐small cell lung cancer (LA‐NSCLC). Methods We reviewed the medical data of patients with LA‐NSCLC who underwent SBRT between 1 January 2013 and 31 December 2018. NLR and PLR values recorded at pre‐ and post‐SBRT were examined. We assessed the correlation between pre/post‐SBRT NLR and PLR and survival outcomes. The decision tree evaluation was conducted using Chi‐square automatic detection. Results In total, 213 patients were included in the study with a median follow‐up duration of 40.00 (ranging from 5.28 to 100.70) months. Upon dichotomization by a median, we identified that post‐SBRT NLR > 5.5 and post‐SBRT PLR > 382.0 were negatively associated with shorter overall survival (OS). In the multivariate assessment, post‐SBRT PLR > 382.0 was the only factor. Based on post‐SBRT PLR, tumor locations, and tumor stage, we categorized patients into low, medium, or high‐risk groups. Conclusions Post‐SBRT PLR > 382.0 correlated with survival in patients undergoing SBRT. The decision tree model might play a role in future risk stratification to guide the clinical practice of individualized SBRT for LA‐NSCLC.

A 43-year-old woman with a history of uterine fibroids, anemia, and deep vein thrombosis presented with a chief symptom of prolapse of tumor from the perineum, complicated by infection. The case was further complicated by bilateral pulmonary multiple embolism, deep vein thrombosis, acute cardiac insufficiency, acute renal insufficiency, and shock. The patient was treated with preoperative placement of an inferior vena cava filter, open hysterectomy, and perioperative anticoagulation with low-molecular-weight heparin. She smoothly navigated the perioperative period and recovered completely.

BackgroundThe treatment outcomes and prognosis for recurrent cervical cancer are generally poor, with a 5-year survival rate of only 10%–20%.Case presentationIn this case, the patient is a young woman who experienced a recurrence 5 years after the initial treatment of cervical cancer. Her primary symptoms were hemoptysis and dysphagia, indicative of hilar and mediastinal lymph node metastases, with further involvement of the bronchus and esophagus. Additionally, the patient also presented with tumor-associated dermatomyositis. Following combined treatment with albumin-bound paclitaxel, carboplatin, bevacizumab, and cadonilimab, the patient’s tumor was effectively controlled.

This study investigated the impact of transcutaneous electrical acupoint stimulation (TEAS) at Neiguan acupoint (PC6) on the physiological and behavioral responses of participants exposed in virtual height. 40 participants were included in the study and were randomly assigned to either a control group or an intervention group. Participants had an immersive experience with a VR interactive platform that provided somatosensory interaction in height stimulation scenes. Psychological scores, behavioral and cognitive performance, and physiological responses were recorded and analyzed. The results indicated that the intervention group had significantly lower fear scores compared to the control group. Analysis of heart rate variability revealed that the intervention group exhibited improved heart rate variability, indicating enhanced cardiovascular function and emotion regulation. The behavioral and cognitive results demonstrated that the intervention group exhibited higher left eye openness, faster reaction times, and greater movement distance, suggesting enhanced attentional focus, cognitive processing, and reduced avoidance behaviors. These findings suggest that TEAS at PC6 can effectively reduce fear and improve the regulation of physiological and behavioral responses to negative emotional stimuli.

Early and precise detection of solid tumor cancers is critical for improving therapeutic outcomes. In this regard, magnetic resonance imaging (MRI) has become a useful tool for tumor diagnosis and image-guided therapy. However, its effectiveness is limited by the shortcomings of clinically available gadolinium-based contrast agents (GBCAs), i.e. poor tumor penetration and retention, and safety concerns. Thus, we have developed a novel nanoparticulate contrast agent using a biocompatible terpolymer and lipids to encapsulate manganese dioxide nanoparticles (TPL-MDNP). The TPL-MDNP accumulated in tumor tissue and produced paramagnetic Mn2+ ions, enhancing T1-weight MRI contrast via the reaction with H2O2 rich in the acidic tumor microenvironment. Compared to the clinically used GBCA, Gadovist®1.0, TPL-MDNP generated stronger T1-weighted MR signals by over 2.0-fold at 30 % less of the recommended clinical dose with well-defined tumor delineation in preclinical orthotopic tumor models of brain, breast, prostate, and pancreas. Importantly, the MRI signals were retained for 60 min by TPL-MDNP, much longer than Gadovist®1.0. Biocompatibility of TPL-MDNP was evaluated and found to be safe up to 4-fold of the dose used for MRI. A robust large-scale manufacturing process was developed with batch-to-batch consistency. A lyophilization formulation was designed to maintain the nanostructure and storage stability of the new contrast agent.

Abstract Atherosclerosis is initiated with endothelial cell (EC) dysfunction and vascular inflammation under hyperlipidemia. Sirtuin 3 (SIRT3) is a mitochondrial deacetylase. However, the specific role of endothelial SIRT3 during atherosclerosis remains poorly understood. The present study aims to study the role and mechanism of SIRT3 in EC function during atherosclerosis. Wild‐type Sirt3f/f mice and endothelium‐selective SIRT3 knockout Sirt3f/f; Cdh5Cre/+ (Sirt3EC‐KO) mice are injected with adeno‐associated virus (AAV) to overexpress PCSK9 and fed with high‐cholesterol diet (HCD) for 12 weeks to induce atherosclerosis. Sirt3EC‐KO mice exhibit increased atherosclerotic plaque formation, along with elevated macrophage infiltration, vascular inflammation, and reduced circulating L‐arginine levels. In human ECs, SIRT3 inhibition resulted in heightened vascular inflammation, reduced nitric oxide (NO) production, increased reactive oxygen species (ROS), and diminished L‐arginine levels. Silencing of SIRT3 results in hyperacetylation and deactivation of Argininosuccinate Synthase 1 (ASS1), a rate‐limiting enzyme involved in L‐arginine biosynthesis, and this effect is abolished in mutant ASS1. Furthermore, L‐arginine supplementation attenuates enhanced plaque formation and vascular inflammation in Sirt3EC‐KO mice. This study provides compelling evidence supporting the protective role of endothelial SIRT3 in atherosclerosis and also suggests a critical role of SIRT3‐induced deacetylation of ASS1 by ECs for arginine synthesis.

The human gut microbiome plays a critical role in maintaining our health. Fluctuations in the diversity and structure of the gut microbiota have been implicated in the pathogenesis of several metabolic and inflammatory conditions. Dietary patterns, medication, smoking, alcohol consumption, and physical activity can all influence the abundance of different types of microbiota in the gut, which in turn can affect the health of individuals. Intestinal phages are an essential component of the gut microbiome, but most studies predominantly focus on the structure and dynamics of gut bacteria while neglecting the role of phages in shaping the gut microbiome. As bacteria-killing viruses, the distribution of bacteriophages in the intestine, their role in influencing the intestinal microbiota, and their mechanisms of action remain elusive. Herein, we present an overview of the current knowledge of gut phages, their lifestyles, identification, and potential impact on the gut microbiota.

Pancreatic cancer (PC) is a malignant digestive system tumor with a very poor prognosis. N6-methyladenosine (m6A) is mediated by a variety of readers and participates in important regulatory roles in PC. Based on TCGA_PAAD, ICGC_AU_PAAD, ICGC_CA_PAAD, GSE28735 and GSE62452 datasets, We mapped the multi-omics changes of m6A readers in PC and found that m6A readers, especially IGF2BP family genes, had specific changes and were significantly associated with poor prognosis. An unsupervised consensus clustering algorithm was used to explore the correlation between specific expression patterns of m6A readers in PC and enrichment pathways, tumor immunity and clinical molecular subtypes. Then, the principal component analysis (PCA) algorithm was used to quantify specific expression patterns and screen core genes. Machine learning algorithms such as Bootstrapping and RSF were used to quantify the expression patterns of core genes and construct a prognostic scoring model for PC patients. What's more, pharmacogenomic databases were used to screen sensitive drug targets and small molecule compounds for high-risk PC patients in an all-around and multi-angle way. Our study has not only provided new insights into personalized prognostication approaches, but also thrown light on integrating tailored risk stratification with precision therapy based on IGF2BP2-mediated m6A modification patterns.

Abstract Non-coding RNA has aroused great research interest recently, they play a wide range of biological functions, such as regulating cell cycle, cell proliferation, and intracellular substance metabolism. Piwi-interacting RNAs (piRNAs) are emerging small non-coding RNAs that are 24–31 nucleotides in length. Previous studies on piRNAs were mainly limited to evaluating the binding to the PIWI protein family to play the biological role. However, recent studies have shed more lights on piRNA functions; aberrant piRNAs play unique roles in many human diseases, including diverse lethal cancers. Therefore, understanding the mechanism of piRNAs expression and the specific functional roles of piRNAs in human diseases is crucial for developing its clinical applications. Presently, research on piRNAs mainly focuses on their cancer-specific functions but lacks investigation of their expressions and epigenetic modifications. This review discusses piRNA’s biogenesis and functional roles and the recent progress of functions of piRNA/PIWI protein complexes in human diseases. Video Abstract

In this paper, we investigate a time-delayed vector-borne disease model with impulsive culling of the vector. The basic reproduction number $ \mathcal{R}_0 $ of our model is first introduced by the theory recently established in [1]. Then the threshold dynamics in terms of $ \mathcal{R}_0 $ are further developed. In particular, we show that if $ \mathcal{R}_0 < 1 $, then the disease will go extinct; if $ \mathcal{R}_0 > 1 $, then the disease will persist. The main mathematical approach is based on the uniform persistent theory for discrete-time semiflows on some appropriate Banach space. Finally, we carry out simulations to illustrate the analytic results and test the parametric sensitivity on $ \mathcal{R}_0 $.

With the continuous development and construction of new power systems, using drones to inspect the condition of transmission line insulators has become an inevitable trend. To facilitate the deployment of drone hardware equipment, this paper proposes IDD-YOLO (Insulator Defect Detection-YOLO), a lightweight insulator defect detection model. Initially, the backbone network of IDD-YOLO employs GhostNet for feature extraction. However, due to the limited feature extraction capability of GhostNet, we designed a lightweight attention mechanism called LCSA (Lightweight Channel-Spatial Attention), which is combined with GhostNet to capture features more comprehensively. Secondly, the neck network of IDD-YOLO utilizes PANet for feature transformation and introduces GSConv and C3Ghost convolution modules to reduce redundant parameters and lighten the network. The head network employs the YOLO detection head, incorporating the EIOU loss function and Mish activation function to optimize the speed and accuracy of insulator defect detection. Finally, the model is optimized using TensorRT and deployed on the NVIDIA Jetson TX2 NX mobile platform to test the actual inference speed of the model. The experimental results demonstrate that the model exhibits outstanding performance on both the proprietary ID-2024 insulator defect dataset and the public SFID insulator dataset. After optimization with TensorRT, the actual inference speed of the IDD-YOLO model reached 20.83 frames per second (FPS), meeting the demands for accurate and real-time inspection of insulator defects by drones.

The senescence of bone marrow mesenchymal stromal cells (MSCs) leads to the impairment of stemness and osteogenic differentiation capacity. In a previous study, we screened out stearoyl-CoA desaturase 2 (SCD2), the most evidently changed differential gene in lipid metabolism, using combined transcriptomic and metabolomic analyses, and verified that SCD2 could mitigate MSC senescence. However, the underlying molecular mechanism by which the rate-limiting enzyme of lipogenesis SCD2 manipulates MSC senescence has not been completely understood. In this study, we demonstrate that SCD2 over-expression alleviates MSC replicative senescence and ameliorates their osteogenic differentiation through the regulation of lipogenesis. Furthermore, SCD2 expression is reduced, whereas miR-200c-3p expression is elevated in replicative senescent MSCs. SCD2 is the direct target gene of miR-200c-3p, which can bind to the 3′-UTR of SCD2. MiR-200c-3p replenishment in young MSCs is able to diminish SCD2 expression levels due to epigenetic modulation. In addition, SCD2-rescued MSC senescence and enhanced osteogenic differentiation can be attenuated by miR-200c-3p repletion via suppressing lipogenesis. Taken together, we reveal the potential mechanism of SCD2 influencing MSC senescence from the perspective of lipid metabolism and epigenetics, which provides both an experimental basis for elucidating the mechanism of stem cell senescence and a novel target for delaying stem cell senescence.

Abstract Background Quantifying intra-specific variation in leaf functional traits along environmental gradients is important for understanding species' responses to climate change. In this study, we assessed the degree of among and within populations variation in leaf functional traits and explored leaf response to geographic and climate change using Caryopteris mongholica as material, which has a wide range of distribution environments. Results We selected 40 natural populations of C. mongholica, measured 8 leaf functional traits, analyzed the extent of trait variation among and within populations, and developed geographic and climatic models to explain trait variation between populations. Our results showed that the variation in leaf functional traits of C. mongholica was primarily lower within populations compared to among populations. Specifically, the leaf area (LA) exhibited higher variability both among and within populations, whereas leaf carbon content (LC) exhibited lower variation within populations but greater variation among populations. We observed a specific covariation pattern among traits and a strong linkage between morphological, economic, and mechanical traits. Increasing minimum temperature, precipitation of month, and seasonal precipitation differences all limited the growth and development of C. mongholica. However, it was observed that an increase in mean annual precipitation positively influenced the morphological development of its leaf. Conclusions These results demonstrate the response of intra-specific trait variation to the environment and provide valuable insights into the adaptation of intra-specific leaf functional traits under changing climatic conditions.

Abstract MRGPRX1, a Mas-related GPCR (MRGPR), is a key receptor for itch perception and targeting MRGPRX1 may have potential to treat both chronic itch and pain. Here we report cryo-EM structures of the MRGPRX1-Gi1 and MRGPRX1-Gq trimers in complex with two peptide ligands, BAM8-22 and CNF-Tx2. These structures reveal a shallow orthosteric pocket and its conformational plasticity for sensing multiple different peptidic itch allergens. Distinct from MRGPRX2, MRGPRX1 contains a unique pocket feature at the extracellular ends of TM3 and TM4 to accommodate the peptide C-terminal “RF/RY” motif, which could serve as key mechanisms for peptidic allergen recognition. Below the ligand binding pocket, the G6.48XP6.50F6.51G6.52X(2)F/W6.55 motif is essential for the inward tilting of the upper end of TM6 to induce receptor activation. Moreover, structural features inside the ligand pocket and on the cytoplasmic side of MRGPRX1 are identified as key elements for both Gi and Gq signaling. Collectively, our studies provide structural insights into understanding itch sensation, MRGPRX1 activation, and downstream G protein signaling.

Abstract Background Develop the best machine learning (ML) model to predict nonsentinel lymph node metastases (NSLNM) in breast cancer patients. Methods From June 2016 to August 2022, 1005 breast cancer patients were included in this retrospective study. Univariate and multivariate analyses were performed using logistic regression. Six ML models were introduced, and their performance was compared. Results NSLNM occurred in 338 (33.6%) of 1005 patients. The best ML model was XGBoost, whose average area under the curve (AUC) based on 10-fold cross-verification was 0.722. It performed better than the nomogram, which was based on logistic regression (AUC: 0.764 vs. 0.706). Conclusions The ML model XGBoost can well predict NSLNM in breast cancer patients.

Abstract Previous studies suggested a beneficial effect of natriuretic peptides in animal models of cardiovascular disease, but the role of natriuretic peptide receptor C (NPRC) in the pathogenesis of atherosclerosis (AS) remains unknown. This study was designed to test the hypothesis that NPRC may promote AS lesion formation and instability by enhancing oxidative stress, inflammation, and apoptosis via protein kinase A (PKA) signaling. ApoE−/− mice were fed chow or Western diet for 12 weeks and NPRC expression was significantly increased in the aortic tissues of Western diet-fed mice. Systemic NPRC knockout mice were crossed with ApoE−/− mice to generate ApoE−/−NPRC−/− mice, and NPRC deletion resulted in a significant decrease in the size and instability of aortic atherosclerotic lesions in ApoE−/−NPRC−/− versus ApoE−/− mice. In addition, endothelial cell-specific NPRC knockout attenuated atherosclerotic lesions in mice. In contrast, endothelial cell overexpression of NPRC aggravated the size and instability of atherosclerotic aortic lesions in mice. Experiments in vitro showed that NPRC knockdown in human aortic endothelial cells (HAECs) inhibited ROS production, pro-inflammatory cytokine expression and endothelial cell apoptosis, and increased eNOS expression. Furthermore, NPRC knockdown in HAECs suppressed macrophage migration, cytokine expression, and phagocytosis via its effects on endothelial cells. On the contrary, NPRC overexpression in endothelial cells resulted in opposite effects. Mechanistically, the anti-inflammation and anti-atherosclerosis effects of NPRC deletion involved activation of cAMP/PKA pathway, leading to downstream upregulated AKT1 pathway and downregulated NF-κB pathway. In conclusion, NPRC deletion reduced the size and instability of atherosclerotic lesions in ApoE−/− mice via attenuating inflammation and endothelial cell apoptosis and increasing eNOS expression by modulating cAMP/PKA-AKT1 and NF-κB pathways. Thus, targeting NPRC may provide a promising approach to the prevention and treatment of atherosclerosis.

Abstract Epigenetic modifications play important roles during the pathogenesis of multiple myeloma (MM). Herein, we found that protein arginine methyltransferase 1 (PRMT1) was highly expressed in MM patients, which was positively correlated with MM stages. High PRMT1 expression was correlated with adverse prognosis in MM patients. We further showed that silencing PRMT1 inhibited MM proliferation and tumorigenesis in vitro and in vivo. Mechanistically, we revealed that the knockdown of PRMT1 reduced the oxidative phosphorylation (OXPHOS) of MM cells through NDUFS6 downregulation. Meanwhile, we identified that WTAP, a key component of the m6A methyltransferase complex, was methylated by PRMT1, and NDUFS6 was identified as a bona fide m6A target of WTAP. Finally, we found that the combination of PRMT1 inhibitor and bortezomib synergistically inhibited MM progression. Collectively, our results demonstrate that PRMT1 plays a crucial role during MM tumorigenesis and suggeste that PRMT1 could be a potential therapeutic target in MM.

Abstract Effort‐aware cross‐project defect prediction (EACPDP), which uses cross‐project software modules to build a model to rank within‐project software modules based on the defect density, has been suggested to allocate limited testing resource efficiently. Recently, Ni et al. proposed an EACPDP method called EASC, which used all cross‐project modules to train a model without considering the data distribution difference between cross‐project and within‐project data. In addition, Ni et al. employed the different defect density calculation strategies when comparing EASC and baseline methods. To explore the effective defect density calculation strategies and methods on EACPDP, the authors compare four data filtering methods and five transfer learning methods with EASC using four commonly used defect density calculation strategies. The authors use three classification evaluation metrics and seven effort‐aware metrics to assess the performance of methods on 11 PROMISE datasets comprehensively. The results show that (1) The classification before sorting (CBS+) defect density calculation strategy achieves the best overall performance. (2) Using balanced distribution adaption (BDA) and joint distribution adaptation (JDA) with the K‐nearest neighbour classifier to build the EACPDP model can find 15% and 14.3% more defective modules and 11.6% and 8.9% more defects while achieving the acceptable initial false alarms (IFA). (3) Better comprehensive classification performance of the methods can bring better EACPDP performance to some extent. (4) A flexible adjustment of the defect threshold λ of the CBS+ strategy contribute to different goals. In summary, the authors recommend researchers and practitioners use to BDA and JDA with the CBS+ strategy to build the EACPDP model.

AIM: To investigate the relationship between blood biochemical parameters and choroidal thickness(CT)in naïve-treatment of patients with nonproliferative diabetic retinopathy(NPDR).METHODS: Prospective cross-sectional study. A total of 92 patients(92 eyes)with naïve-treated NPDR were selected in the Affiliated Eye Hospital of Nanchang University from July 2021 to July 2022. All of the patients included in this study were subjected to ophthalmologic examination including enhanced depth imaging optical coherence tomography(EDI-OCT), best corrected visual acuity(BCVA), fundus fluorescence angiography, intraocular pressure, slit lamp and fundus examination. At the same time, they were also underwent hematological examination including blood glucose, glycosylated hemoglobin(HbA1c), serum creatinine, uric acid, urea, β2 microglobulin, high density lipoprotein(HDL), low density lipoprotein(LDL), serum calcium, serum potassium and other tests. According to the glomerular filtration rate(eGFR)and CT, the patients were divided into normal, mild and moderate to severe renal function group, pachychoroid group and the leptochoroid group. The blood biochemical indexes, CT differences and theirs correlation were analyzed in naïve-treated NPDR patients.RESULTS: A total of 92 cases(92 eyes)were included in this study, with 51 males(51 eyes), 41 females(41 eyes), 45 right eyes and 47 left eyes. There was no significant difference in age, axial length and disease duration among the three groups(all P>0.05). There were significant differences in nasal 0.5, 1.5mm, subfoveal and temporal 0.5, 1.5mm CT among three groups(all P0.05). There were significant differences in creatinine, eGFR, uric acid, urea, potassium and β2-microglobulin between the pachychoroid group and the leptochoroid group(all P0.05). CT was negatively correlated with creatinine, urea, uric acid and β2-microglobulin, and positively correlated with eGFR. Multiple regression analysis showed that the thicker the nasal 0.5mm CT, the higher the eGFR(B=0.292, P0.05).CONCLUSION: In patients with naïve-treated NPDR, the thicker the CT, the better the renal function. The decrease of CT in newly diagnosed NPDR patients is an important hint to pay attention to the renal function.

Abstract Background The study was intended to confirm whether Pars Plana Vitrectomy (PPV) with Internal Limiting Membrane (ILM) peeling and intravitreal injection mouse Nerve Growth Factor(mNGF) was effective for the treatment of Idiopathic Macular Hole(IMH) by Optical Coherence Tomography Angiography(OCTA) and microperimetry. Methods A retrospective study was performed in adults’ patients. A total of 44 eyes (March 2021-October 2021) with IMH who received surgical treatment in the Affiliated Eye Hospital of Nanchang University in Nanchang City, Jiangxi Province were selected. The subjects were treated using PPV combined with ILM peeling and intravitreal mNGF (combined group) or PPV combined with ILM peeling (placebo group). The Best Corrected Visual Acuity (BCVA), Optical Coherence Tomography Angiography (OCTA) and MP-3 microperimetry were carried out and observed at baseline, 1 week(1W), 1,3 and 6 months (1 M,3 M,6 M) postoperatively. Results The minimum diameter of MH were (568.650 ± 215.862)μm and (533.348 ± 228.836)μm in the Placebo and Combine group pre-operative. During the observation, the macular hole closure rate in the placebo group and combined group were 90% and 95.8% respectively and the difference was not statistically significant(p = 0.583). Compared to pre-surgery, the perimeter and circularity of Foveal Avascular Zone (FAZ) in the placebo group decreased at 1,3,6 M (p = 0.001, 0.05). Conclusions Our results manifested that PPV combined with ILM peeling and intravitreal injection mNGF might be more effective for initial IMH. This method increased the blood flow, MRS and promoted the recovery of ELM and EZ in the macular and might improve the visual function of patients postoperatively.

The aroma and quality of pear wine was strongly affected by fermentation temperature by influencing the metabolism of microorganism during the fermentation. In this study, Korla fragrant pear was used as raw material to make pear wine at the fermentation temperature of 8, 13, 18 and 23 ℃. After fermentation, the basic physicochemical indexes, chromaticity and browning degree of pear wine were determined. Headspace solid phase micro-extraction gas chromatography mass spectrometry (HS-SPME-GC-MS) was used to qualitatively and semi-quantitatively study the effect of fermentation temperature on the quality of pear wine. The results showed that the pear wine with lower fermentation temperature ULT (8 ℃) and LT (13 ℃) had lower acidity, lower browning degree and higher brightness, and the wine was more transparent. A total of 28 volatile compounds were identified in pear wine, including 12 kinds of esters, 8 kinds of alcohols, 4 kinds of acids, 1 kind of phenol and 3 kinds of alkanes. The ester content of pear wine produced at 13 ℃ was the highest, which was 3150.30 μg/L, the content of etheyl octanoat, a characteristic aroma substance, was the highest, up to 1939.45 μg/L. At the same time, the sensory score was the highest, 83.7 points, which indicated that 13 ℃ was the appropriate fermentation temperature of pear wine. In conclusion, fermentation at 13 ℃ has the potential to improve the quality of pear wine.

Abstract Healing of the cutaneous wound requires macrophage recruitment at the sites of injury, where chemotactic migration of macrophages toward the wound is regulated by local inflammation. Recent studies suggest a positive contribution of DNA methyltransferase 1 (Dnmt1) to macrophage pro-informatory responses; however, its role in regulating macrophage motility remains unknown. In this study, myeloid-specific depletion of Dnmt1 in mice promoted cutaneous wound healing and de-suppressed the lipopolysaccharides (LPS)-inhibited macrophage motility. Dnmt1 inhibition in macrophages eliminated the LPS-stimulated changes in cellular mechanical properties in terms of elasticity and viscoelasticity. LPS increased the cellular accumulation of cholesterol in a Dnmt1-depedent manner; cholesterol content determined cellular stiffness and motility. Lipidomic analysis indicated that Dnmt1 inhibition altered the cellular lipid homeostasis, probably through down-regulating the expression of cluster of differentiation 36 CD36 (facilitating lipid influx) and up-regulating the expression of ATP-binding cassette transporter ABCA1 (mediating lipid efflux) and sterol O-acyltransferase 1 SOAT1 (also named ACAT1, catalyzing the esterification of cholesterol). Our study revealed a Dnmt1-dependent epigenetic mechanism in the control of macrophage mechanical properties and the related chemotactic motility, indicating Dnmt1 as both a marker of diseases and a potential target of therapeutic intervention for wound healing.

Abstract Increased rates of ribosome biogenesis have been recognized as hallmarks of many cancers and are associated with poor prognosis. Using a CRISPR synergistic activation mediator (SAM) system library targeting 89 ribosomal proteins (RPs) to screen for the most oncogenic functional RPs in human esophageal squamous cell carcinoma (ESCC), we found that high expression of RPS15 correlates with malignant phenotype and poor prognosis of ESCC. Gain and loss of function models revealed that RPS15 promotes ESCC cell metastasis and proliferation, both in vitro and in vivo. Mechanistic investigations demonstrated that RPS15 interacts with the K homology domain of insulin-like growth factor 2 mRNA-binding protein 1 (IGF2BP1), which recognizes and directly binds the 3′-UTR of MKK6 and MAPK14 mRNA in an m6A-dependent manner, and promotes translation of core p38 MAPK pathway proteins. By combining targeted drug virtual screening and functional assays, we found that folic acid showed a therapeutic effect on ESCC by targeting RPS15, which was augmented by the combination with cisplatin. Inhibition of RPS15 by folic acid, IGF2BP1 ablation, or SB203580 treatment were able to suppress ESCC metastasis and proliferation via the p38 MAPK signaling pathway. Thus, RPS15 promotes ESCC progression via the p38 MAPK pathway and RPS15 inhibitors may serve as potential anti-ESCC drugs.

In this article, a lightweight, untethered wearable adhesive glove (total weight 72 g) is developed to empower the human hand with adhesive gripping. A textile glove comprises ionogels with embedded flexible heaters and a wireless electronic control module. The thermoresponsive ionogel with switchable adhesion achieves a switching ratio of 4.9 after heating 4.4 s under 4 V voltage, enabling on‐demand object pickup and release. As demonstration examples, the wearable adhesive glove is shown to grasp multiple objects with single‐finger adhesion and manipulate card with two‐finger adhesion. It is shown in the experiments that the wearable adhesive glove can expand the gripping modes and enhance the gripping ability of the human hand by giving it a new degree of freedom of adhesion.

BackgroundObservational studies have revealed associations between birth weight, childhood obesity, age at menarche, and ovarian dysfunction. However, these studies are susceptible to unavoidable confounding factors, leading to ongoing debates regarding their conclusions and making causal relationships challenging to infer. In light of these challenges, Mendelian randomization was employed in this study to investigate the causal relationships between birth weight, childhood obesity, age at menarche, and ovarian dysfunction.MethodsThis study employed a two-sample Mendelian randomization approach using genetic variation as instrumental variables to investigate causal relationships. Genetic variation data were sourced from summary data of genome-wide association studies in European populations. Instrumental variables were selected based on the principles of Mendel's three assumptions. The study utilized the inverse variance weighted method to assess the relationships between birth weight, childhood obesity, age at menarche, and ovarian dysfunction. Supplementary analyses were conducted using MR-Egger regression, the weighted median method, and the weighted median mode to complement the IVW results. Furthermore, the study conducted heterogeneity, horizontal pleiotropy, and sensitivity analyses to evaluate the robustness of the results.ResultsBased on the inverse variance weighted method, it was found that there exists a causal relationship between childhood obesity (OR = 1.378, 95% CI: 1.113∼1.705, p = 0.003), age at menarche (OR = 0.639, 95% CI: 0.468∼0.871, p = 0.005), and ovarian dysfunction, while no causal relationship was observed between birth weight and ovarian dysfunction. Heterogeneity tests, multiplicity tests, and leave-one-out sensitivity analyses did not detect any heterogeneity or multiplicity effects in the estimated impact of these three exposure factors on the risk of ovarian dysfunction.ConclusionsThis study represents the first evidence suggesting a potential causal relationship between childhood obesity, age at menarche, and ovarian dysfunction. Childhood obesity was found to increase the risk of ovarian dysfunction, while a later age at menarche was associated with a reduced risk of ovarian dysfunction.

Background. Rheumatoid arthritis (RA) has been associated with atrial fibrillation (AF) in observational studies, yet the causal relationship remains elusive. In this study, we employed Mendelian randomization (MR) to investigate the impact of RA on AF risk specifically in East Asian populations. Methods. Utilizing genome-wide association study (GWAS) data on RA (n = 212,453) and AF (n = 36,792), we applied the following five MR methods: inverse variance weighted (IVW), MR-RAPS, maximum likelihood, weighted median (WM), and Bayesian weighted Mendelian randomization (BWMR). We evaluated heterogeneity, sensitivity, and pleiotropy. Results. Five genetic instrumental variants for RA were identified. All MR methods consistently indicated a causal association between RA and AF (IVW: OR = 1.20, 95% CI: 1.01–1.41, p

In order to accurately detect the photovoltaic energy storage unit charge state, this paper selects the parameter charge state as the detection quantity in the equivalent model, establishes the PSO-ELM method to detect the charge state of photovoltaic energy storage unit, optimizes the limit learning machine network using the particle swarm optimization algorithm, and improves the problems such as redundancy of neurons in the implicit layer of the limit learning machine and the poor ability to identify the unknown input parameter, so as to increase the detection accuracy of the PSO-ELM method to improve the detection accuracy of photovoltaic energy storage unit charge state. The relative error between the method established in this paper and the results of the PV storage unit charge state detected by the definition method in the charging state is kept within ±1.9%, and the detection accuracy of the improved method in the dynamic working condition can reach about 97%. The PSO-ELM method established in this paper can accurately detect the charge state of PV energy storage units under various conditions, as demonstrated experimentally.

Abstract The human microbiome plays a crucial role in maintaining health, with advances in high‐throughput sequencing technology and reduced sequencing costs triggering a surge in microbiome research. Microbiome studies generally incorporate five key phases: design, sampling, sequencing, analysis, and reporting, with sequencing strategy being a crucial step offering numerous options. Present mainstream sequencing strategies include Amplicon sequencing, Metagenomic Next‐Generation Sequencing (mNGS), and Targeted Next‐Generation Sequencing (tNGS). Two innovative technologies recently emerged, namely MobiMicrobe high‐throughput microbial single‐cell genome sequencing technology and 2bRAD‐M simplified metagenomic sequencing technology, compensate for the limitations of mainstream technologies, each boasting unique core strengths. This paper reviews the basic principles and processes of these three mainstream and two novel microbiological technologies, aiding readers in understanding the benefits and drawbacks of different technologies, thereby guiding the selection of the most suitable method for their research endeavours.

BackgroundObservational studies have suggested a possible association between hypothyroidism and increased risk of ischemic stroke. However, a causal relationship remains unclear.MethodsData on single nucleotide polymorphisms (SNPs) associated with hypothyroidism and ischemic stroke were sourced from the FinnGens database and the UK Biobank of European descent. Both databases underwent separate two-sample Mendelian randomization (MR) analyses. A subsequent meta-analysis of MR results using a random-effects model was conducted to determine the causal relationship between hypothyroidism and ischemic stroke.ResultsAll five analyses indicated a positive causal relationship between hypothyroidism and ischemic stroke. MR analysis of the association between hypothyroidism and ischemic stroke yielded a result of the inverse variance weighted (IVW) method at 4.7411 (1.3598–16.5308), p = 0.0146. The analysis of ischemic stroke (without excluding controls) yielded a result of the IVW method of 4.5713 (1.3570–15.3986), p = 0.0142. MR analysis with cerebral infarction yielded a result of the IVW method at 1.0110 (1.0006–1.0215), p = 0.0373. The MR analysis with cerebrovascular disease sequelae yielded an IVW method result of 2.4556 (1.0291–5.8595), p = 0.0429. Analysis for the sequelae of cerebrovascular disease (without excluding controls) yielded an IVW method result of 2.4217 (1.0217–5.7402), p = 0.0446. No evidence of heterogeneity or horizontal pleiotropy was found. The meta-analysis of the five MR results was 2.24 (1.18–4.26), p = 0.025.ConclusionOur two-sample Mendelian randomization study suggested a causal relationship between hypothyroidism and ischemic stroke, indicating that hypothyroidism could be a risk factor for ischemic stroke. However, further studies are required to elucidate the underlying biological mechanisms.

Reproductive system diseases pose prominent threats to human physical and mental well-being. Besides being influenced by genetic material regulation and changes in lifestyle, the occurrence of these diseases is closely connected to exposure to harmful substances in the environment. Endocrine disrupting chemicals (EDCs), characterized by hormone-like effects, have a wide range of influences on the reproductive system. EDCs are ubiquitous in the natural environment and are present in a wide range of industrial and everyday products. Currently, thousands of chemicals have been reported to exhibit endocrine effects, and this number is likely to increase as the testing for potential EDCs has not been consistently required, and obtaining data has been limited, partly due to the long latency of many diseases. The ability to avoid exposure to EDCs, especially those of artificially synthesized origin, is increasingly challenging. While EDCs can be divided into persistent and non-persistent depending on their degree of degradation, due to the recent uptick in research studies in this area, we have chosen to focus on the research pertaining to the detrimental effects on reproductive health of exposure to several EDCs that are widely encountered in daily life over the past six years, specifically bisphenol A (BPA), phthalates (PAEs), polychlorinated biphenyls (PCBs), parabens, pesticides, heavy metals, and so on. By focusing on the impact of EDCs on the hypothalamic-pituitary-gonadal (HPG) axis, which leads to the occurrence and development of reproductive system diseases, this review aims to provide new insights into the molecular mechanisms of EDCs’ damage to human health and to encourage further in-depth research to clarify the potentially harmful effects of EDC exposure through various other mechanisms. Ultimately, it offers a scientific basis to enhance EDCs risk management, an endeavor of significant scientific and societal importance for safeguarding reproductive health.

Background Polycystic ovary syndrome (PCOS) was known as the common endocrine disease in women, featured as hyperandrogenism, ovulation disorders, etc. Fat mass and obesity-associated protein (FTO), a m6A demethylase, is abnormal in the occurrence of ovarian diseases. However, the mechanism of FTO in the pathogenesis of PCOS is still unclear.Methods The level of FTO in clinical samples, PCOS rat with hyperandrogenism and granulosa cells (GCs) lines effected by DHT were investigated by ELISA, qRT-PCR, WB, and IHC, while m6A RNA methylation level was studied by m6A Colorimetric and androgen level was tested through ELISA. Changes in steroid hormone synthetase and androgen receptor (AR)/prostate-specific antigen (PSA) levels in vitro were visualized by WB after transient transfection silenced FTO. The effect of DHT combined with FTO inhibitor meclofenamic acid (MA) on FTO, AR/PSA, and AKT phosphorylation were also demonstrated by WB. The co-localization of FTO and AR in KGN cells was analyzed by confocal microscopy, and the physiological interaction between FTO and AR was studied by Co-IP assay. The effect of FTO-specific inhibitor MA, AKT phosphorylation inhibitor LY294002, and the combined them on GCs proliferation and cell cycle were evaluated by drug combination index, EDU assay, and flow cytometry analysis.Results FTO expression was upregulated in follicular fluid and GCs in PCOS patients clinically. The high FTO expression in patients was negative with the level of m6A, but positive with the level of androgen. The upregulation of FTO was accompanied with a decrease in the level of m6A in PCOS rat with hyperandrogenism. Dihydrotestosterone (DHT) promoted the FTO expression and inhibited m6A content as a dose-dependent way in vitro. In contrast, suppression of FTO with siRNA attenuated the expression of steroid hormone synthetase such as CYP11A1, CYP17A1, HSD11B1, HSD3B2 except CYP19A1 synthetase, ultimately inducing the decrease of androgen level. Suppression of FTO also decreased the biological activity of androgen through downregulation AR/PSA. MA treatment as the specific FTO antagonist decreased cell survival in time- and dose-dependent way in GCs lines. Correspondingly, MA treatment decreased the expression of FTO, AR/PSA expression, and AKT phosphorylation in the presence of DHT stimulation. Additionally, we also speculate there is a potential relation between FTO and AR according to FTO was co-localized and interacted with AR in KGN cells. Compared with AKT phosphorylation inhibitor LY294002 or MA alone, LY294002 combined with MA synergistically inhibited cell survival and increased G2/M phase arrest in GC line.Conclusions We first evaluated the correlation of FTO and m6A in PCOS clinically, and further explored the mechanism between FTO and hyperandrogenism in PCOS animal and cell models. These findings contributed the potential therapy by targeting the FTO for hyperandrogenism in PCOS.

Introduction We analysed case-contact clusters during the Omicron BA.2 epidemic in Shanghai to assess the risk of infection of contacts in different settings and to evaluate the effect of demographic factors on the association of infectivity and susceptibility to the Omicron variant.Methods Data on the settings and frequency of contact, demographic characteristics and comorbidities of index cases, contacts and secondary cases were analysed. Independent effect of multiple variables on the risk for transmission and infection was evaluated using generalised estimating equations.Results From 1 March to 1 June 2022, we identified 450 770 close contacts of 90 885 index cases. The risk for infection was greater for contacts in farmers’ markets (fixed locations where farmers gather to sell products, adjusted OR (aOR): 3.62; 95% CI 2.87 to 4.55) and households (aOR: 2.68; 95% CI 2.15 to 3.35). Children (0–4 years) and elderly adults (60 years and above) had higher risk for infection and transmission. During the course of the epidemic, the risk for infection and transmission in different age groups initially increased, and then decreased on about 21 April (17th day of citywide home quarantine). Compared with medical workers (reference, aOR: 1.00), unemployed contacts (aOR: 1.77; 95% CI 1.53 to 2.04) and preschoolers (aOR: 1.61; 95% CI 1.26 to 2.05) had the highest risk for infection; delivery workers (aOR: 1.90, 95% CI 1.51 to 2.40) and public service workers (aOR: 1.85; 95% CI 1.64 to 2.10) had the highest risk for transmission. Contacts who had comorbidities (aOR: 1.10; 95% CI 1.09 to 1.12) had a higher risk for infection, particularly those with lung diseases or immune deficiency.Conclusion Farmers’ markets and households were the main setting for transmission of Omicron. Children, the elderly, delivery workers and public service workers had the highest risk for transmission and infection. These findings should be considered when implementing targeted interventions.

Summary: Oocyte maturation is vital to attain full competence required for fertilization and embryogenesis. NLRP14 is preferentially expressed in mammalian oocytes and early embryos. Yet, the role and molecular mechanism of NLRP14 in oocyte maturation and early embryogenesis are poorly understood, and whether NLRP14 deficiency accounts for human infertility is unknown. Here, we found that maternal loss of Nlrp14 resulted in sterility with oocyte maturation defects and early embryonic arrest (EEA). Nlrp14 ablation compromised oocyte competence due to impaired cytoplasmic and nuclear maturation. Importantly, we revealed that NLRP14 maintained cytoplasmic UHRF1 abundance by protecting it from proteasome-dependent degradation and anchoring it from nuclear translocation in the oocyte. Furthermore, we identified compound heterozygous NLRP14 variants in women affected by infertility with EEA, which interrupted the NLRP14-UHRF1 interaction and decreased UHRF1 levels. Our data demonstrate NLRP14 as a cytoplasm-specific regulator of UHRF1 during oocyte maturation, providing insights into genetic diagnosis for female infertility.

Bacterial wilt caused by the soil-borne pathogen Ralstonia solanacearum is a destructive disease of tomato. Tomato cultivar Hawaii 7996 is well-known for its stable resistance against R. solanacearum. However, the resistance mechanism of Hawaii 7996 has not yet been revealed. Here, we showed that Hawaii 7996 activated root cell death response and exhibited stronger defense gene induction than the susceptible cultivar Moneymaker after R. solanacearum GMI1000 infection. By employing virus-induced gene silencing (VIGS) and CRISPR/Cas9 technologies, we found that SlNRG1-silenced and SlADR1-silenced/knockout mutant tomato partially or completely lost resistance to bacterial wilt, indicating that helper NLRs SlADR1 and SlNRG1, the key nodes of effector-triggered immunity (ETI) pathways, are required for Hawaii 7996 resistance. In addition, while SlNDR1 was dispensable for the resistance of Hawaii 7996 to R. solanacearum, SlEDS1, SlSAG101a/b, and SlPAD4 were essential for the immune signaling pathways in Hawaii 7996. Overall, our results suggested that robust resistance of Hawaii 7996 to R. solanacearum relied on the involvement of multiple conserved key nodes of the ETI signaling pathways. This study sheds light on the molecular mechanisms underlying tomato resistance to R. solanacearum and will accelerate the breeding of tomatoes resilient to diseases.