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We propose interest-driven progressive visual analytics. The core idea is to filter samples with features of interest to analysts from the given dataset for analysis. The approach relies on a generative model (GM) trained using the given dataset as the training set. The GM characteristics make it convenient to find ideal generated samples from its latent space. Then, we filter the original samples similar to the ideal generated ones to explore patterns. Our research involves two methods for achieving and applying the idea. First, we give a method to explore ideal samples from a GM’s latent space. Second, we integrate the method into a system to form an embedding-based analytical workflow. Patterns found on open datasets in case studies, results of quantitative experiments, and positive feedback from experts illustrate the general usability and effectiveness of the approach.

Abstract Steady degradation (SD) prediction is crucial for the intelligent operation and maintenance of ship power system (SPS). Addressing the challenge of predicting the SD process, this study introduces the YC2Model, a system‐level predictive method that integrates encoding time slice data to images (ETSD2I) with a convolutional neural network and Transformer. Incorporating the Transformer, in particular, enables the YC2Model to predict the SD state of SPS over extended periods more effectively. Compared to baseline models, YC2Model demonstrates superior performance on key performance indicators, including the highest coefficient of determination (R2) of 0.960717, and the lowest symmetric mean absolute percentage error of 0.015500, mean square error of 0.707211 × 10−4, root mean square error of 0.008410, and mean absolute error of 0.006519, proving its superior predictive accuracy. The correlation between model performance variations and degradation mechanisms is validated through statistical analysis of the YC2Model's performance in different stages of the SD process. During the SD process, YC2Model exhibits high predictive accuracy, an ability to capture changes in degradation mechanisms and robust adaptability to degradation trends. This model can provide precise and reliable SD state predictions for the intelligent operation and maintenance of SPS.

Abstract The anomaly detection and predictive replacement of the degradation decay state coefficient (Desc) of ship power system (SPS) are crucial for ensuring their operational safety and maintenance efficiency. This study introduces the YC3Model, a model based on a dynamic triple sliding window mechanism, and Gaussian process regression) to address this challenge. It combines the temporal variation characteristics of the decay state coefficient's original data, first‐order, and second‐order differential data in both normal and abnormal trend intervals. The model calculates three local statistical measures within each sliding window and employs the Z‐score method for anomaly detection. The combination of three sliding windows reduces false positives and negatives, enhancing the precision of anomaly detection. For detected anomalies, Gaussian process regression is used for prediction and replacement, providing confidence intervals to increase the reliability of the predicted values. Experimental results demonstrate that the YC3Model exhibits superior anomaly detection accuracy and adaptability in the degradation process of SPS, surpassing traditional methods across a range of evaluation metrics. This confirms the potential of YC3Model in health monitoring and predictive maintenance of SPS, offering reliable data input for the intelligent operation and maintenance (IO&M) of SPS.

Abstract Straw return improves soil carbon pool and dissolved organic matter (DOM) characteristics in black soil. Optimal straw return rate is the key to promoting straw return practices in farmland in Northeast China. The experiment was conducted at the Science and Technology Park of China Grain Storage and Northern Corporation in NenJiang, Heilongjiang Province, straw return at 0 kg hm−2, 3000 kg hm−2, 4500 kg hm−2, and 9000 kg hm−2. In the seventh year of the experiment, we used three-dimensional excitation-emission matrices combined with Parallel Factor analysis to characterize the fluorescence characteristics of DOM of black soils. The results showed substantial improvement in soil physical characteristics and soil organic matter (SOM) following straw return, SOM content rises in proportion to the amount of straw returned, and a significant positive correlation coefficient between water-holding capacity (WHC) (p

Abstract Background Children’s physical and emotional health are affected by acute cough. Cough severity and influence on quality of life can be measured with specialized questionnaires. This study aimed to present the Chinese version of the 16-item Parent-proxy Children’s Acute Cough-specific Quality of Life Questionnaire (PAC-QoL16) and examine its validity and reliability. Methods Using independent translations and counter translations, the Chinese version of the PAC-QoL16 was translated, and its suitability was evaluated among the families of five coughing children. Children with acute cough who were hospitalized at the Children’s Hospital Affiliated to Zhengzhou University from October 2022 to June 2023 were included, and the caregivers were invited to complete the questionnaire and two cough-related measures (visual analogue score (VAS) and verbal category descriptive (VCD) score) on the day of admission and on the 5th day of treatment. Additionally, the questionnaire’s internal consistency and concurrent validity were evaluated. Results A total of 148 complete and valid questionnaires were collected. Eighty-one males and 67 females composed the 148 children, whose average age was 4.6 years and ranged from 2 to 12 years. Cronbach’s alpha coefficients for the three domains and the whole score ranged from 0.824 to 0.978. The VAS and VCD scores showed a strong correlation with the overall and domain scores of the PAC-QoL16. After therapy, there were significant decreases in the cough VAS and VCD scores, while the overall and domain scores of the PAC-QoL16 improved (P

The 12th annual meeting of China Earthquake Prediction Forum (CEPF), which was co-sponsored by Prediction Committee of China Seismological Society and Hainan Earthquake Agency, was held on Aug. 13—17, 2024 in Haikou City, Hainan Province. More than 130 persons from 17 universities (one from abroad), 7 institutes from Chinese Academy of Sciences and China Earthquake Administration (CEA), 23 Provincial Earthquake Agencies of CEA attended this conference. 13 special topics had been set up for academic exchange. 96 conference articles were collected, where the pier reviewed articles will be published by the journal of South China Earthquake in Supplementary Issue of 2024. During the 2 days room meeting, there were 26 orals and 25 posters presented, where 7 invited key note speakers presented the research current advances and future trend of earthquake prediction practice in China. There were 6 young presenters got excellent poster awards who obtained the permission of oral presentation in the following annual conferences of China Earthquake Prediction Forum. Popular science lectures on 1605 Hainan M7.5 earthquake and the disaster and monitoring techniques of volcano respectively were organized for the one day field training course held in the source area of Hainan M7.5 earthquake and the monitoring station of volcano creator in Hainan after the room meeting of this conference. A short panel discussion on how to enhance the capability of hunting precursors and prediction efficiency in high risk area was conducted. All the attendees enjoyed the successful conference both in scientific exchange and in onsite training courses.

Abstract Cancer stands as a leading global cause of death, with its etiology characterized by complexity and multifaceted factors. Growing research indicates a strong correlation between environmental factors and cancer incidence, underscoring the critical importance of intervening in environmental risk factors to mitigate cancer occurrence. Despite this, specialized research institutions focusing on the intersection of environment and cancer remain scarce, with global investment in cancer prevention significantly trailing behind efforts in diagnosis and treatment. Against the backdrop of rapid global climate change, industrialization, urbanization, aging populations, and the globalization of lifestyles, we proposed the concept of Environmental Oncology (EO) to address these challenges. We discussed the rationale and necessity of developing EO and presented a comprehensive research framework focusing on cancer prevention and treatment. Future EO research will aim to identify cancer causes and implement early prevention strategies using advanced scientific technologies and methods. By emphasizing multidisciplinary collaboration and integrating molecular biology at the micro level, EO will explore the relationship between external and internal environments and cancer. EO will identify potential therapeutic targets by studying the pathways through which environmental exposures lead to carcinogenesis. EO will develop early warning systems and disseminate research findings by collecting big data, employing robust statistical models, and establishing research centers.

Abstract The high-altitude Duku Highway is characterized by complex terrain changes and frequent geological hazards, which severely impact the lives of local residents and the sustainable development of the regional economy. The lack of understanding of terrain deformation, coupled with scarce foundational observation data, makes it challenging to apply mainstream susceptibility assessment methods such as slope modeling and causality analysis. Consequently, this study utilizes Sentinel-1 A data and employs the SBAS-InSAR technique to extract and analyze the deformation characteristics of 184 hazard areas along the Duku Highway over nearly three years. Furthermore, the Correlation Clustering Evaluation Model is proposed, attributing hazard properties to unsupervised spatial clustering results, thus enabling the study of hazard susceptibility in data-scarce regions without prior knowledge. The results indicate that the SBAS-InSAR coherence is 0.64, with a validation accuracy of 85%. The high, relatively-high, and moderate susceptibility areas account for 24.7%, 17.1%, and 32.6% of the total area, respectively. The rapid uplift of terrain due to plate compression is a major factor leading to frequent hazards in high and relatively-high susceptibility areas. These regions may spontaneously experience cyclic hazards (minimum of 2 months) without extreme external factors. The research findings offer new insights into regional hazards and provide a basis for the sustainable management of highways.

Abstract Colorectal cancer (CRC) stands for a prevailing gastrointestinal neoplasm, concomitant with considerable occurrence and lethality rate. Butorphanol, a synthetic opioid analgesic medication targeting the opiate receptor, has been recently reckoned to harbor anti-oncogenic properties. This study proposes to delineate the impacts of butorphanol on CRC and the interrelated response mechanism. In sigma non-opioid intracellular receptor 1 (SIGMAR1)-overexpressing CRC cells treated by varying concentrations of butorphanol, the functional experiments including CCK-8 method, EDU staining, wound healing and transwell assays severally appraised the capabilities for CRC cells to proliferate, migrate as well as invade. TUNEL staining assayed the cellular apoptotic level. The expressions of proteins implicated in proliferation, metastasis as well as apoptosis were ascertained by Western blot. CB-Dock2 server predicated butorphanol-SIGMAR1 interaction and Western blot also examined SIGMAR1 expression. Noticeably, butorphanol profoundly eliminated the capabilities of CRC cells to proliferate, migrate and invade whilst intensified the cellular apoptotic level with the ascending doses. Butorphanol was identified to possess an interrelation with SIGMAR1 and concentration-dependently lowered SIGMAR1 expression. Elevation of SIGMAR1 partially blunted the affection of butorphanol on the biological events of CRC cells. To sum up, butorphanol may extenuate the aggressive cellular behaviors to produce tumor-suppressing activity on CRC via binding with SIGMAR1.

Abstract Ensuring the operational safety of the electric power system critically depends on effective power inspections. However, traditional methods face challenges in detecting minor faults such as cracks and corrosion in electrical equipment. In this thesis, the Super Resolution Generative Adversarial Network (SRGAN) is introduced into the field of power inspection for the first time. Additionally, the dedicated dataset (BDZ dataset) was developed. This includes a large number of high-resolution images for power line inspection. The primary objective is to enhance the resolution of inspection images, thereby significantly improving the accuracy and reliability of defect detection in the power system. Numerous experiments have demonstrated that the SRGAN model outperforms traditional models in the super-resolution reconstruction of power inspection images, particularly in recovering image texture details. Using the BDZ dataset significantly enhances image resolution. When employing the same SRGAN model, PSNR increased by 2.47 dB and SSIM by 4.10% compared to the standard dataset. This research introduces new methodologies for advancing electric power inspection technologies, providing a more robust assurance for the safe and reliable operation of electric power systems.

Abstract Purpose Obstructive sleep apnea (OSA) significantly affects patients’ quality of life; however, the mechanisms, such as its effects on bone mineral density (BMD) and bone turnover marker (BTM) expression, remain unclear. In this study, we investigated the relationships among OSA, BMD, and (BTMs) in older adults. Methods This retrospective study enrolled 260 participants (114 women; 44.5%). Data of an established system (Alice NightOne) were used to diagnose OSA and analyze nocturnal hypoxia. Participants were divided into four groups according to respiratory event index (REI) (control,

Abstract Aryl thiols have proven to be a useful class of electron donors and hydrogen atom sources in photochemical processes. However, the direct activation and functionalization of C(sp2)–S bonds in aryl thiols remains elusive in the field of photochemistry. Herein, a photochemical carboxylation of C(sp2)–S bonds in aryl thiols with CO2 is reported, providing a synthetic route to important aryl carboxylic acids. Moreover, different kinds of aryl thiol derivatives, benzeneselenol and diphenyl diselenide also show moderate-to-high reactivity in this transformation. Mechanistic studies, including DFT calculations, suggest that the in situ generated carbon dioxide radical anion (CO2 •−) and disulfide might be the key intermediates, which undergo radical substitution to yield products. This reaction features mild and catalyst-free conditions, good functional group tolerance and wide substrate scope. Furthermore, the efficient degradation of polyphenylene sulfide highlights the usefulness of this methodology.

Abstract The application of neural network model in intelligent diagnosis usually encounters challenges such as continuous adjustment of network parameters and significant cost in training the network facing numerous complex physiological data. To address this challenge, this paper introduces a fuzzy SZGWO-ELM neural network model for medical disease aid diagnosis with fuzzy membership function and ELM network to refine the improved Gray Wolf optimization algorithm. Firstly, the Z-type membership function is introduced as the inertia weight to get a balance for the grey wolf in seeking the optimal solution globally and locally and ensuring fast convergence. Secondly, the S-type membership function is utilized as the adaptive weight to flexibly adjust the grey wolf search step size to facilitate a quick approximation of the optimal solution. Finally, the improved Gray Wolf optimization algorithm is used to optimize the parameters of the ELM neural network model, termed as SZGWO-ELM. This method can eliminate the need for extensive network parameter adjustments and quickly locate the optimal solution to the problem using a lightweight neural network. The performance of the SZGWO is assessed by using metrics like convergence, mean, and standard deviation. Multiple experiments reveal that this method shows superior performance. Furthermore, five publicly accessible medical disease datasets from UCI were conducted to evaluate the performance of SZGWO-ELM network model comparing with different classify model, and the results in terms of precision, sensitivity, specificity and accuracy can achieve 99.52%, 94.14%, 99.26% and 96.08%, respectively, which illustrate that the proposed SZGWO-ELM neural network significantly enhance the model’s accuracy, providing better support for doctors in disease diagnosis.

Abstract MDM4 is one of the major regulators of p53. The biological effect of MDM4 on tumor is controversial, its role and molecular mechanism in colon cancer progression and prognosis are still unclear. In this study, we identify that MDM4 is significantly overexpressed in human colon cancer and high MDM4 expression was associated with poor prognosis of colon cancer with mutant p53. MDM4 inhibits the ubiquitination of the ferroptosis marker protein GPX4 at K167 and K191 by upregulating the protein expression level of the E3 ubiquitin ligase TRIM21, which promotes the polyubiquitination of GPX4 transfer from K48- to K63- linked ubiquitination. Thereby, MDM4 enhances the stability of GPX4 protein, inhibiting ferroptosis, increasing the resistance of colon cancer patients to chemotherapy, and promoting colon cancer progression. These findings elucidate the ferroptosis inhibition effect of MDM4 via regulating TRIM21/GPX4 on p53-mutated colon cancer and provide a potential therapeutic strategy for colon cancer therapy.

Abstract Background Sepsis-induced myocardial injury (SIMI) is a severe complication of sepsis, contributing significantly to mortality. Mitochondrial dysfunction and dysregulated autophagy are implicated in SIMI pathogenesis. Long non-coding RNA MALAT1 has been associated with various diseases, including sepsis, but its role in SIMI remains unclear. Objective This study aimed to investigate the role of lncRNA MALAT1 in SIMI, specifically in the regulation of mitochondrial autophagy. Methods A sepsis-induced cardiomyopathy model was established in mice, and the cardiac tissues were analyzed. The expression of lncRNA MALAT1 was modulated and its effects on mitochondrial autophagy, myocardial injury, inflammation, and apoptosis were assessed. Furthermore, the interaction between MALAT1 and miR-146a was explored, as well as the involvement of the TLR4/NF-kB/MAPK signaling pathway. Results Activation of mitochondrial autophagy by urolithin A (UA) alleviated SIMI, inflammation, and cardiac dysfunction. Downregulation of MALAT1 enhanced mitochondrial autophagy, stabilized the mitochondrial membrane potential, and inhibited mitochondrial reactive oxygen species (ROS) production, leading to improved cell viability and reduced myocardial injury. Furthermore, MALAT1 interacted with miR-146a, and their modulation influenced mitochondrial autophagy, myocardial injury, and inflammation. The TLR4/NF-kB/MAPK signaling pathway was implicated in these processes. Conclusion Our findings suggest that lncRNA MALAT1 plays a crucial role in SIMI by modulating miR-146a-mediated mitochondrial autophagy and the TLR4/NF-kB/MAPK signaling pathway. These results provide new insights into the pathogenesis of SIMI and potential therapeutic targets.

Abstract The breakthrough in electrolyte technology stands as a pivotal factor driving the battery revolution forward. The colloidal electrolytes, as one of the emerging electrolytes, will arise gushing research interest due to their complex colloidal behaviors and mechanistic actions at different conditions (aqueous/nonaqueous solvents, salt concentrations etc.). Herein, we show “beyond aqueous” colloidal electrolytes with ultralow salt concentration and inherent low freezing points to investigate its underlying mechanistic principles to stabilize cryogenic Zn metal batteries. Impressively, the “seemingly undesired” concentration polarization at the interface would disrupt the coalescence stability of the electrolyte, leading to a mechanically rigid interphase of colloidal particle-rich layer, positively inhibiting side reactions on either side of the electrodes. Importantly, the multi-layered pouch cells with cathode loading of 10 mg cm–2 exhibit undecayed capacity at various temperatures, and a relatively high capacity of 50 mAh g–1 could be well maintained at −80 °C.

Abstract Background Previous studies have shown that overall sleep quality among Chinese nurses is relatively low, with a sleep disorder prevalence rate of approximately 66.4%. Against the backdrop of healthcare reforms, China has been striving to improve the mental health and sleep quality of nurses. Stress mindset can influence how individuals respond to stress, but there is limited research on how stress mindset affects nurses’ sleep quality. This study aims to explore the impact of stress mindset on sleep quality among nurses, as well as the mediating roles of stress overload and anxiety in this relationship. Methods The study was conducted online using a questionnaire from February 18 to February 22, 2024. It utilized the Stress Mindset Measure (SMM), the Stress Overload Scale-Short (SOS-S), the Generalized Anxiety Disorder 7-item scale (GAD-7), and the Pittsburgh Sleep Quality Index (PSQI) to survey 441 nurses in three regions of China: Chongqing, Hunan, and Shandong (M = 34.39, SD = 7.82, 95.7% female). A chain mediation model was employed to examine the mediating roles of stress overload and anxiety in the relationship between stress mindset and sleep quality. Results The participants’ average sleep quality score was 7.18 ± 3.47. Nurses’ stress mindset was significantly negatively correlated with both stress overload and anxiety, and significantly positively correlated with sleep quality. Stress overload was significantly positively correlated with anxiety and significantly negatively correlated with sleep quality. Anxiety was also significantly negatively correlated with sleep quality. The direct effect of nurses’ stress mindset on sleep quality was significant (effect size = -0.10, 95% CI: -0.19 to -0.01), as were the indirect effects through stress overload (effect size = -0.05, 95% CI: -0.11 to -0.01) and anxiety (effect size = -0.09, 95% CI: -0.13 to -0.05), along with their chain mediation effect (effect size = -0.10, 95% CI: -0.14 to -0.06). Conclusion Our study demonstrates that a higher level of nurses’ stress mindset is associated with better sleep quality, with stress overload and anxiety mediating this relationship. A positive stress mindset helps nurses cope more effectively with professional challenges and reduces anxiety, leading to improved sleep quality. Healthcare institutions should therefore prioritize fostering positive stress mindsets in nurses, encouraging regular psychological training and workshops to support the development of effective coping strategies.

Abstract Diffuse axonal injury (DAI) results in aberrant functional connectivity and is significantly linked to cognitive impairment. Nevertheless, the network mechanisms influencing neurocognitive function following DAI remain unclear. This study aimed to examine the characteristics of static and dynamic functional network connectivity (FNC) in patients with DAI. Resting-state functional magnetic resonance imaging data were collected from 26 patients with DAI and 27 healthy controls. Resting-state networks were extracted using independent component analysis. We evaluated the connectivity strength through spatial maps and static FNC, and then further dynamic properties were identified using a sliding time-window approach and k-means clustering, and investigated their associations with clinical variables. Patients with DAI showed stronger intra-network spatial maps in the default mode network and subcortical network than healthy controls, but static inter-network functional connectivity remained stable. Furthermore, three recurring states for dynamic connectivity were identified in all participants, and state 1 occurred most frequently in patients with DAI and exhibited higher fractional time, and as well as longer mean dwell time, which was positively associated with MMSE scores. Meanwhile, patients with DAI exhibited mostly increased functional connectivity strength of dynamic FNC in all states, particularly within the default mode network and visual network. These findings suggest that patients with DAI are characterized by altered dynamic FNC and temporal properties, which provide distinct complementary information different from static functional connectivity, and new insights into the neural pathophysiology of DAI associated with cognitive impairment.

Abstract Molecular dynamics (MD) is an indispensable atomistic-scale computational tool widely-used in various disciplines. In the past decades, nearly all ab initio MD and machine-learning MD have been based on the general-purpose central/graphics processing units (CPU/GPU), which are well-known to suffer from their intrinsic “memory wall” and “power wall” bottlenecks. Consequently, nowadays MD calculations with ab initio accuracy are extremely time-consuming and power-consuming, imposing serious restrictions on the MD simulation size and duration. To solve this problem, here we propose a special-purpose MD processing unit (MDPU), which could reduce MD time and power consumption by about 103 times (109 times) compared to state-of-the-art machine-learning MD (ab initio MD) based on CPU/GPU, while keeping ab initio accuracy. With significantly-enhanced performance, the proposed MDPU may pave a way for the accurate atomistic-scale analysis of large-size and/or long-duration problems which were impossible/impractical to compute before.

Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer, characterised by a short survival period, high malignancy, strong invasiveness, and high rates of recurrence and metastasis. Due to its unique molecular phenotype, TNBC is insensitive to endocrine therapy or molecular targeted therapy. The conventional treatment approach involves systemic chemotherapy for overall management; however, adjuvant chemotherapy after surgery has shown poor efficacy as residual lesions can easily lead to tumour recurrence. Therefore, there is an urgent need to find more effective treatment strategies. Herein, we designed a gold nanocluster coated with a metal-phenol formaldehyde network structure (AuNCs@PDA-Mn) for tumour Photothermal therapy and chemodynamic therapy (PTT and CDT), which induces systemic immune responses to suppress tumour metastasis. Experimental results show that after continuous irradiation for 10 min under an 808 nm laser (1.0W/cm2), AuNCs@PDA-Mn not only exhibits better tumour inhibition both in vitro and in vivo but also triggers stronger immune effects systemically. Therefore, this combined PTT and CDT treatment approach has great potential and provides a clinically relevant and valuable option for triple-negative breast cancer.

Objectives: Titanium alloys are increasingly widely used in the aerospace field, and their research and development significantly influence the advancement of military aircraft, civil aviation, engines, and other high-tech equipment. However, titanium alloy are challenging to machine due to theri small deformation coefficient, low thermal conductivity, and the high temperatures generated during traditional cutting methods, which leads to tool wear. As a result, parts often have low precision, and surface quality is generally poor. This study proposes a double-sided magnetic abrasive finishing (MAF) method using opposing magnetic pole sets with adjustable relative angles to address surface defects—such as bumps, scratches, and microcracks—on the surface of titanium alloy TC4 and to improve its grinding efficiency. Methods: This study compares three types of lined magnets and introduces an involute-lined magnet design. Based on this design, opposing magnetic pole sets are used to generate an initial relative angle between them. The effects of different relative angles on double-sided MAF are tested to determine whether this method can improve the magnetic induction intensity and promote a more uniform distribution of abrasives. The results show that this approach addresses the challenges of poor abrasive fluidity and the inability of abrasives to tumble effectively. Additionally, the simultaneous grinding of both sides of the workpiece enhances processing efficiency, effectively removes the surface defects of the workpiece, and improves the grinding efficiency and surface quality. Results: The application of involute-lined magnets with a relative angle for double-sided MAF yields improved processing results under the following test conditions: magnetic pole group speed of 600 r/min, processing gap of 2 mm, magnetic abrasives size of 150 μm, and a relative angle of 10°. After 30 minutes of grinding, the surface roughness of the front side of the titanium alloy is reduced from Ra 0.458 μm to Ra 0.116 μm, and the surface height variation decreases from 43.3 μm to 7.8 μm. The reverse side also shows improvements, with surface roughness decreasing from Ra 0.434 μm to Ra 0.111 μm, and surface height variation reducing from 44.2 μm to 8.4 μm. Conclusions: The use of involute-lined magnets to create a relative angle for double-sided grinding effectively improves surface defects, such as scratches and grooves, on the workpiece. This method also significantly enhances grinding efficiency compared to single-sided grinding. The involute arrangement of magnets minimizes variations in magnetic induction intensity, which improves grinding efficiency and ensures a more uniform distribution of the magnetic field. This uniformity results in better adsorption of magnetic abrasives and enhanced grinding quality. When grinding at a relative angle of 10°, the magnetic field gradient changes significantly, covering a wider area with stronger magnetic induction. This variation in magnetic field gradient faciliates the tumbling of magnetic abrasives and the timely renewal of cutting edges, ultimately improving processing performance.

Improving plant resistance to Verticillium wilt (VW), which causes massive losses in Gossypium hirsutum, is a global challenge. Crop plants need to efficiently allocate their limited energy resources to maintain a balance between growth and defense. However, few transcriptional regulators specifically respond to Verticillium dahliae and the underlying mechanism has not been identified in cotton. In this study, we found that the that expression of most R2R3-MYB members in cotton is significantly changed by V. dahliae infection relative to the other MYB types. One novel R2R3-MYB transcription factor (TF) that specifically responds to V. dahliae, GhMYB3D5, was identified. GhMYB3D5 was not expressed in 15 cotton tissues under normal conditions, but it was dramatically induced by V. dahliae stress. We functionally characterized its positive role and underlying mechanism in VW resistance. Upon V. dahliae infection, the up-regulated GhMYB3D5 bound to the GhADH1 promoter and activated GhADH1 expression. In addition, GhMYB3D5 physically interacted with GhADH1 and further enhanced the transcriptional activation of GhADH1. Consequently, the transcriptional regulatory module GhMYB3D5-GhADH1 then promoted lignin accumulation by improving the transcriptional levels of genes related to lignin biosynthesis (GhPAL, GhC4H, Gh4CL, and GhPOD/GhLAC) in cotton, thereby enhancing cotton VW resistance. Our results demonstrated that the GhMYB3D5 promotes defense-induced lignin accumulation, which can be regarded as an effective way to orchestrate plant immunity and growth.

Abstract Background Cancer cachexia‐induced skeletal muscle fibrosis (SMF) impairs muscle regeneration, alters the muscle structure and function, reduces the efficacy of anticancer drugs, diminishes the patient's quality of life and shortens overall survival. RUNX family transcription factor 2 (Runx2), a transcription factor, and collagen type I alpha 1 chain (COL1A1), the principal constituent of SMF, have been linked previously, with Runx2 shown to directly modulate COL1A1 mRNA levels. l‐Carnitine, a marker of cancer cachexia, can alleviate fibrosis in liver and kidney models; however, its role in cancer cachexia‐associated fibrosis and the involvement of Runx2 in the process remain unexplored. Methods Female C57 mice (48 weeks old) were inoculated subcutaneously with MC38 cells to establish a cancer cachexia model. A 5 mg/kg dose of l‐carnitine or an equivalent volume of water was administered for 14 days via oral gavage, followed by assessments of muscle function (grip strength) and fibrosis. To elucidate the interplay between the deltex E3 ubiquitin ligase 3L(DTX3L)/Runx2/COL1A1 axis and fibrosis in transforming growth factor beta 1‐stimulated NIH/3T3 cells, a suite of molecular techniques, including quantitative real‐time PCR, western blot analysis, co‐immunoprecipitation, molecular docking, immunofluorescence and Duolink assays, were used. The relevance of the DTX3L/Runx2/COL1A1 axis in the gastrocnemius was also explored in the in vivo model. Results l‐Carnitine supplementation reduced cancer cachexia‐induced declines in grip strength (>88.2%, P 57.9%, P

The Qizimeishan National Nature Reserve is situated in the southwestern region of Hubei Province, adjacent to the northeastern edge of the Yunnan-Guizhou Plateau. A survey of spiders of this reserve was conducted recently, leading to the discovery of three new species of the genus Pseudopoda Jäger, 2000: P. arcuata Zhang, J. Liu & Hu, sp. nov. (♀), P. qizimeishanensis Zhang, J. Liu & Hu, sp. nov. (♂, ♀) and P. weimiani Zhang, J. Liu & Hu, sp. nov. (♂, ♀). Diagnoses, descriptions, photos, and a distribution map are provided.

Abstract Backgroud Intussusception is a common acute abdominal disease in children, often leading to acute ileus in infants and young children. Objective This study aimed to develop and validate a nomogram for predicting recurrent intussusception in children within 48 h after pneumatic reduction of primary intussusception. Methods Clinical data of children with acute intussusception admitted to multiple hospitals from March 2019 to March 2021 were retrospectively analyzed. The children were divided into a successful reductioncontrol group (control group) and a recurrent intussusception group (RI group) according to the results of pneumatic reduction. Results A total of 2406 cases were included in this study, including 2198 control group and 208 RI group. In the total sample, 1684 cases were trained and 722 cases were verified. A logistic regression analysis was conducted to establish a predictive model based on age, abdominal pain time, white blood cells count, and hypersensitive C-reactive protein levels as independent predictors of intussusception recurrence. The nomogram successfully predicted recurrent intussusception after pneumatic reduction. Conclusion In this study, a nomogram was developed based on clinical risk factors to predict recurrent intussusception following pneumatic reduction in children. Age, abdominal pain time, white blood cell counts, and hypersensitive C-reactive protein levels were identified as predictors and incorporated into the nomogram. Internal validation demonstrated that this nomogram can offer a clear and convenient tool for identifying risk factors for recurrence of intussusception in children undergoing pneumatic reduction.

Abstract Nitrogen deficiency in low organic matter soils significantly reduces crop yield and plant health. The effects of foliar applications of indole acetic acid (IAA), trehalose (TA), and nanoparticles-coated urea (NPCU) on the growth and physiological attributes of tomatoes in nitrogen-deficient soil are not well documented in the literature. This study aims to explore the influence of IAA, TA, and NPCU on tomato plants in nitrogen-deficient soil. Treatments included control, 2mM IAA, 0.1% TA, and 2mM IAA + 0.1% TA, applied with and without NPCU. Results showed that 2mM IAA + 0.1% TA with NPCU significantly improved shoot length (~ 30%), root length (~ 63%), plant fresh (~ 48%) and dry weight (~ 48%), number of leaves (~ 38%), and leaf area (~ 58%) compared to control (NPCU only). Additionally, significant improvements in chlorophyll content, total protein, and total soluble sugar, along with a decrease in antioxidant activity (POD, SOD, CAT, and APX), validated the effectiveness of 2mM IAA + 0.1% TA with NPCU. The combined application of 2mM IAA + 0.1% TA with NPCU can be recommended as an effective strategy to enhance tomato growth and yield in nitrogen-deficient soils. This approach can be integrated into current agricultural practices to improve crop resilience and productivity, especially in regions with poor soil fertility. To confirm the efficacy of 2mM IAA + 0.1% TA with NPCU in various crops and climatic conditions, additional field studies are required.

Abstract We propose a hybrid inflationary scenario based on eight-flavor hidden QCD with the hidden colored fermions being in part gauged under U(1) B−L . This hidden QCD is almost scale-invariant, so-called walking, and predicts the light scalar meson (the walking dilaton) associated with the spontaneous scale breaking, which develops the Coleman-Weinberg (CW) type potential as the consequence of the nonperturbative scale anomaly, hence plays the role of an inflaton of the small-field inflation. The U(1) B−L Higgs is coupled to the walking dilaton inflaton, which is dynamically induced from the so-called bosonic seesaw mechanism. We explore the hybrid inflation system involving the walking dilaton inflaton and the U(1) B−L Higgs as a waterfall field. We find that observed inflation parameters tightly constrain the U(1) B−L breaking scale as well as the walking dynamical scale to be ~ 109 GeV and ~ 1014 GeV, respectively, so as to make the waterfall mechanism worked. The lightest walking pion mass is then predicted to be around 500 GeV. Phenomenological perspectives including embedding of the dynamical electroweak scalegenesis and possible impacts on the thermal leptogenesis are also addressed.

Polymer-blend geocell sheets (PBGS) have been developed as substitute materials for manufacturing geocells. Various attempts have been made to test and predict the behaviors of commonly used geogrids, geotextiles, geomembranes, and geocells. However, the elastic-viscoplastic behaviors of novel-developed geocell sheets are still poorly understood. Therefore, this paper investigates the elastic-viscoplastic behaviors of PBGS to gain a comprehensive understanding of their mechanical properties. Furthermore, the tensile load-strain history under various loading conditions is simulated by numerical calculation for widespread utilization. To achieve this goal, monotonic loading tests, short-term creep and stress relaxation tests, and multi-load-path tests (also known as arbitrary loading history tests) are performed using a universal testing machine. The results are simulated using the nonlinear three-component (NLTC) model, which consists of three nonlinear components, i.e. a hypo-elastic component, a nonlinear inviscid component, and a nonlinear viscid component. The experimental and numerical results demonstrate that PBGS exhibit significant elastic-viscoplastic behavior that can be accurately predicted by the NLTC model. Moreover, the tensile strain rates significantly influence the tensile load, with higher strain rates resulting in increased tensile loads and more linear load-strain curves. Also, parametric analysis of the rheological characteristics reveals that the initial tensile strain rates have negligible impact on the results. The rate-sensitivity coefficient of PBGS is approximately 0.163, which falls within the typical range observed in most geosynthetics.

Abstract Background With the evolution of disease patterns and the continuous pursuit of persons for high-quality nursing services, new nurses are the reserve talents of the nursing team and shoulder a major mission. However, due to their low work performance and high turnover rate, this is not conducive to the stable development of nursing teams, and it is urgent to solve this problem. The purpose of this study was to explore the effect of work readiness on the work performance of new nurses, focusing on the mediating role of organizational justice and professional identity. Method A cross-sectional design was employed. Using convenience sampling methods, 607 new nurses were surveyed in 5 hospitals in Henan Province, China, from January to February 2023. Data were collected using demographic characteristics questionnaire, the Work Performance Scale, the Work Readiness Scale for Graduate Nurses, the Organizational Justice Scale, and the Professional Identity Rating Scale for Nurses. AMOS 26.0 was used for model drawing and mediation path testing, and SPSS 25.0 was used for data analysis. Results The mediation model shows a good fit (χ2 /df = 2.747, CFI = 0.987, GFI = 0.948, AGFI = 0.926, TLI = 0.984, IFI = 0.987, and RMSEA = 0.054). In this study, we found professional identity is a mediating variable between work readiness and the work performance of new nurses (β = 0.113, P

Abstract Asymptomatic intracranial atherosclerotic stenosis (aICAS) is a major risk factor for cerebrovascular events. The study aims to construct and validate a nomogram for predicting the risk of aICAS. Participants who underwent health examinations at our center from September 2019 to August 2023 were retrospectively enrolled. The participants were randomly divided into a training set and a testing set in a 7:3 ratio. Firstly, in the training set, least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression were performed to select variables that were used to establish a nomogram. Then, the receiver operating curves (ROC) and calibration curves were plotted to assess the model’s discriminative ability and performance. A total of 2563 neurologically healthy participants were enrolled. According to LASSO-Logistic regression analysis, age, fasting blood glucose (FBG), systolic blood pressure (SBP), hypertension, and carotid atherosclerosis (CAS) were significantly associated with aICAS in the multivariable model (adjusted P

Abstract Background We evaluated the diagnostic value of homocysteine (Hcy) levels combined with the Wells score and established a prediction model for venous thromboembolism (VTE) occurrence in patients with acute exacerbations of chronic obstructive pulmonary disease (AECOPD) based on the Hcy level and the Wells score. Patients and methods Clinical information from 914 patients with AECOPD was retrospectively collected in our hospital from June 2020 to October 2023. Receiver operating characteristic curves were plotted to evaluate the diagnostic ability of Hcy concentrations combined with Wells scores and the prediction ability of the model. Univariate and multivariate logistic regressions were used to explore the effects of Hcy levels and the Wells score on VTE occurrence. A nomogram was established for individual risk evaluation. Results Hcy levels and Wells scores were significantly greater in the VTE group than in the non-VTE group (P

Abstract Background Enteric infections are hypothesized to be associated with intussusception in children. A small increase in intussusception following rotavirus vaccination has been seen in some settings. We conducted post-marketing surveillance for intussusception following rotavirus vaccine, Rotavac introduction in India and evaluated association of intussusception with enteric pathogens. Methods In a case-control study nested within a large sentinel hospital-based surveillance program in India, stool samples from 272 children aged less than 2 years admitted for intussusception and 272 age-, gender- and location-matched controls were evaluated with Taqman array card based molecular assays to detect enteric viruses, bacterial enteropathogens and parasites. Matched case-control analysis with conditional logistic regression evaluated association of enteropathogens with intussusception. Population attributable fractions (PAF) were calculated for enteropathogens significantly associated with intussusception. Results The most prevalent enteropathogens in cases and controls were enteroaggregative Escherichia coli, adenovirus 40/41, adenovirus C serotypes and enteroviruses. Children with intussusception were more likely to harbor adenovirus C serotypes (adjusted odds-ratio (aOR) = 1.74; 95% confidence interval (CI) 1.06–2.87) and enteroviruses (aOR = 1.77; 95% CI 1.05–2.97) than controls. Rotavirus was not associated with increased intussusception risk. Adenovirus C (PAF = 16.9%; 95% CI 4.7% − 27.6%) and enteroviruses (PAF = 14.7%; 95% CI 4.2% − 24.1%) had the highest population attributable fraction for intussusception. Conclusion Adenovirus C serotypes and enteroviruses were significantly associated with intussusception in Indian children. Rotavirus was not associated with risk of intussusception.

Abstract Generating co‐speech gestures for interactive digital humans remains challenging because of the indeterministic nature of the problem. The authors observe that gestures generated from speech audio or text by existing neural methods often contain less movement shift than expected, which can be viewed as slow or dull. Thus, a new generative model coupled with memory networks as dynamic dictionaries for speech‐driven gesture generation with improved diversity is proposed. More specifically, the dictionary network dynamically stores connections between text and pose features in a list of key‐value pairs as the memory for the pose generation network to look up; the pose generation network then merges the matching pose features and input audio features for generating the final pose sequences. To make the improvements more accurately measurable, a new objective evaluation metric for gesture diversity that can remove the influence of low‐quality motions is also proposed and tested. Quantitative and qualitative experiments demonstrate that the proposed architecture succeeds in generating gestures with improved diversity.

Abstract Background Information on the comparison of blood microbiota between human immunodeficiency virus (HIV)-infected and HIV-uninfected patients with suspected sepsis by metagenomic next-generation sequencing (mNGS) is limited. Methods Retrospectively analysis was conducted in HIV-infected and HIV-uninfected patients with suspected sepsis at Changsha First Hospital (China) from March 2019 to August 2022. Patients who underwent blood mNGS testing were enrolled. The blood microbiota detected by mNGS were analyzed. Results A total of 233 patients with suspected sepsis who performed blood mNGS were recruited in this study, including 79 HIV-infected and 154 HIV-uninfected patients. Compared with HIV-uninfected patients, the proportions of mycobacterium (p = 0.001), fungus (p

Abstract Background Rapeseed (Brassica napus L.) is an important oil and industrial crop worldwide. Black rot caused by the bacterial pathogen Xanthomonas campestris pv. campestris (Xcc) is an infectious vascular disease that leads to considerable yield losses in rapeseed. Resistance improvement through genetic breeding is an effective and sustainable approach to control black rot disease in B. napus. However, the molecular mechanisms underlying Brassica-Xcc interactions are not yet fully understood, especially regarding the impact of post-transcriptional gene regulation via alternative splicing (AS). Results In this study, we compared the AS landscapes of a susceptible parental line and two mutagenized B. napus lines with contrasting levels of black rot resistance. Different types of AS events were identified in these B. napus lines at three time points upon Xcc infection, among which intron retention was the most common AS type. A total of 1,932 genes was found to show differential AS patterns between different B. napus lines. Multiple defense-related differential alternative splicing (DAS) hub candidates were pinpointed through an isoform-based co-expression network analysis, including genes involved in pathogen recognition, defense signalling, transcriptional regulation, and oxidation reduction. Conclusion This study provides new insights into the potential effects of post-transcriptional regulation on immune responses in B. napus towards Xcc attack. These findings could be beneficial for the genetic improvement of B. napus to achieve durable black rot resistance in the future.

Abstract Background Monitoring symptoms is crucial for the early detection of disease progression and timely intervention, which is essential for reducing severe cases and mortality rates in rapidly spreading pandemics, such as COVID-19. Therefore, during infectious disease pandemics, the rapid development of real-time symptom monitoring platforms is essential. This study aimed to explore the urgent development process of an electronic system for patient-reported outcome monitoring in emergency situations. Methods The development of the electronic patient-reported outcome COVID-19 symptom monitoring platform (ePRO-CoV-SM) included the following steps: (1) modifying an electronic patient-reported outcome symptom-reporting platform to assess patients with COVID-19 and validating its feasibility and sensitivity for longitudinal symptom measurement; (2) updating the system to accommodate the newly emerged severe acute respiratory syndrome coronavirus 2 BA.2.2 variant; and (3) applying it in real-world settings. Literature review, expert consultation, and subject-group discussions were used to develop symptom items. Response rate and missing item rate were used as validation indicators for ePRO-CoV-SM. Results The ePRO-CoV-SM (2.0) consists of a core set of symptom items, a WeChat mini program, an online project design backend, a management and communication front, and a database. During the 2020 verification, the response rate of ePRO symptom monitoring reached 89.47% and the item missing rate was 0.33%, the monitoring revealed that a considerable number of asymptomatic patients were experiencing undesirable symptoms during the isolation period. In its real-world application in 2022, the response rate was 85.93% and the item missing rate was 4.84%, the monitoring found the symptom burden was higher in the younger group (18–40 years old) than in the older group (40–67 years old), and over 30% of patients reported symptoms such as cough (36.08%), dry mouth (35.67%), sleep disorders (32.27%), appetite loss (32.17%), and sputum (30.79%) during the isolation period. Conclusions Electronic patient-reported outcome measurement was demonstrated to be sensitive and feasible for monitoring symptoms in patients with COVID-19. By integrating smartphone-based data collection with real-time online data transmission and secure data storage using Secure Sockets Layer encryption, an electronic platform for monitoring critical symptoms can be rapidly established in emergency situations.

Abstract Phytosterols are a group of nonpharmacological alternatives to prevent or control dyslipidemias and cardiovascular disease. Increasing the phytosterol content in rapeseed oil is important to enhance daily phytosterol intake. However, the mechanisms of biosynthesis and regulation of phytosterol in rapeseed remain unclear. In this study, two representative rapeseed cultivars with extremely high (H286) and low (H174) phytosterol content were selected and treated with various concentrations (0.5−5.0 mM) of methyl jasmonate (MeJA). The results showed that treatment with 1 mM MeJA increased the phytosterol content of H174 and H286 by 17% and 27%, respectively. Based on the multiomics data, a gene‐phytosterol regulatory network was constructed. We deduced that MeJA down‐regulated the expression level of BnaA07.SCL15, BnaC05.MYB61, and BnaC03.AGL2, thereby promoting the phytosterol biosynthesis , and which were validated through the transient expression in tobacco. Notably, overexpression of Arabidopsis BnaA07.SCL15 exhibited a significant decrease in their phytosterol content. Additionally, an integrative analysis of the high‐resolution metabolome and transcriptome revealed that the accumulation patterns of 997 metabolites were highly correlated with their corresponding gene expression patterns. MeJA also significantly affected flavonoid biosynthesis, α‐linolenic acid metabolism, and amino acid metabolism. Furthermore, BnaA09.TT8 and BnaC09.TT8 were found to regulate of flavonoids. Overall, this study provides valuable insights into the phytosterol biosynthesis in rapeseed and offers a simple and effective approach for improving rapeseed quality.

ABSTRACT: Salmonella is a major cause of foodborne diseases worldwide. Conventional rapid assays for detecting Salmonella in real samples often encounter severe matrix interference or detect a limited number of species of a genus, resulting in inaccurate detection. In this study, we developed a method that combined phage-based magnetic capture with real-time recombinase polymerase amplification (RPA) for the rapid, highly sensitive, and specific detection of Salmonella in milk with an ultra-low detection limit. The Felix O-1 phage-conjugated magnetic beads (O-1 pMBs) synthesized in this method showed excellent capture ability for Salmonella spp. and ideal specificity for non-Salmonella strains. After O-1 pMBs-based magnetic separation, the limit of detection of the real-time RPA assay was 50 cfu/mL in milk samples, which was significantly increased by a magnitude of 3 to 4 orders. The method exhibited a high sensitivity (compatibility) of 100% (14/14) for all tested Salmonella serotype strains and an ideal specificity (exclusivity) of 100% (7/7) for the tested non-Salmonella strains. The entire detection process, including Salmonella capture, DNA extraction, and real-time RPA detection, was completed within 1.5 h. Furthermore, milk samples spiked with 10 cfu/25 mL of Salmonella were detected positive after being cultured in buffered peptone water for only 3 h. Therefore, the proposed method could be an alternative for the rapid and accurate detection of Salmonella.

To reduce the losses caused by aging failure of insulation gate bipolar transistor (IGBT), which is the core components of nuclear power plant rod position indicating and rod control (RPC) system. It is necessary to conduct studies on its life prediction. The selection of IGBT failure characteristic parameters in existing research relies heavily on failure principles and expert experience. Moreover, the analysis and learning of time-domain degradation data have not been fully conducted, resulting in low prediction efficiency as the monotonicity, time correlation, and poor anti-interference ability of extracted degradation features. This paper utilizes the advantages of the stacked denoising autoencoder(SDAE) network in adaptive feature extraction and denoising capabilities to perform adaptive feature extraction on IGBT time-domain degradation data; establishes a long-short-term memory (LSTM) prediction model, and optimizes the learning rate, number of nodes in the hidden layer, and number of hidden layers using the Gray Wolf Optimization (GWO) algorithm; conducts verification experiments on the IGBT accelerated aging dataset provided by NASA PCoE Research Center, and selects performance evaluation indicators to compare and analyze the prediction results of the SDAE-LSTM model, PSO-LSTM model, and BP model. The results show that the SDAE-LSTM model can achieve more accurate and stable IGBT life prediction.

The common walnut (Juglans regia) is one of the most economically important nut trees cultivated worldwide. Despite its importance, no comprehensive evaluation of walnut tree population genetics has been undertaken across the range where it originated, Central Asia. In this study, we investigated the genetic diversity and population structure of 1082 individuals from 46 populations across Central Asia. We found moderate genetic diversity of J. regia across Central Asia, with 46 populations clustered into three groups with a weak relationship between genetic and geographic distance. Our findings reveal that the western Himalaya might be the core region of common walnut genetic diversity in Central Asia and that, except for two populations in Gongliu Wild Walnut Valley, humans might have introduced walnut populations to Xinjiang, China. The observed distribution of the genetic landscape has probably been affected by historical climate fluctuation, breeding system, and prolonged anthropogenic activity. We propose the conservation of the core genetic diversity resources in the western Himalaya and pay special attention to populations from Gongliu in Xinjiang. These findings enhance our understanding of the genetic variation throughout the distribution range of J. regia in Central Asia, which will provide a key prerequisite for evidence-based conservation and management.

Four new species of Yunguirius B. Li, Zhao & S.Q. Li, 2023 are described from China, namely: Yunguirius parvus Wei & Liu, sp. nov. (♀), Yunguirius trigonus Wei & Liu, sp. nov. (♀), Yunguirius wangqiqiae Wei & Liu, sp. nov. (♀), and Yunguirius xiannushanensis Wei & Liu, sp. nov. (♀).

Abstract Cytokine-induced apoptosis inhibitor 1 (CIAPIN1) is a protein that regulates apoptosis and programmed cell death. This research aims to evaluate its potential role in inhibiting breast cancer cell proliferation, migration, and glycolysis and uncover its underlying molecular mechanism. We collected breast cancer tissue samples from eight patients between January 2019 and June 2023 in our Hospital to analyse CIAPIN1 expression. We transfected human breast cancer cell lines (MCF7, MDA-MB-231, MDA-MB-453, and MDA-MB-468) with siRNA of CIAPIN1. Finally, we determined protein expression using RT-qPCR and Western blotting. CIAPIN1 expression was elevated in both breast cancer tissue and serum. Overexpression of CIAPIN1 detected in the breast cancer cell lines MCF7 and MDA-MB-468. In addition, CIAPIN1 overexpression increased cell proliferation and migration rate. CIAPIN1 downregulation suppressed cell proliferation while elevated cellular apoptosis, reactive oxygen species (ROS) production and oxidative stress in breast cancer cells. Moreover, CIAPIN1 inhibition remarkably suppressed pyruvate, lactate and adenosine triphosphate (ATP) production and reduced the pyruvate kinase M2 (PKM2) protein expression and phosphorylation of signal transducer and activator of transcription 3 (STAT3) in breast cancer cells. Downregulation of CIAPIN1 suppresses cell proliferation, migration and glycolysis capacity in breast cancer cells by inhibiting the STAT3/PKM2 pathway.

Abstract From a meaning-oriented perspective, the study drew on the nominalization in Systemic Functional Linguistics with Coh-Metrix and interviews to check how L2 academic writing of student writers may develop with the implementation of task-type repetition (TtR). The findings revealed that the development of L2 academic writing was presumably staged rather than constantly linear. Over the development, language proficiency dynamically resonated with TtR. First, the beginning session of TtR (from Task 1 to around Task 4) witnessed a more dynamic developmental trajectory during which the low-proficiency student constantly outperformed the other two in inter-sentential cohesion, while the intermediate-level student stood out over the middle session (Task 4- around Task 8). Second, at three genre stagings, students’ genre knowledge deeply resonated with their meaning-making activities throughout TtR, particularly in facilitating individual iterative reflection on their established writing knowledge. Third, the deficiency of genre knowledge may cause wide-range absence of nominalization at DESCRIPTION and CONCLUSION than EXPOSITION. Fourth, the linguistic fossilization identified at DESCRIPTION implies that anaphoric reconstrual may be individually mediated (by grammatically complicating the syntax in the study). Finally, a nuanced improvement in metaphorical enrichment and control was identified.

Abstract Background Colorectal cancer (CRC) is the third most prevalent cancer worldwide, with the tumor microenvironment (TME) playing a crucial role in its progression. Aggregated autophagy (AA) has been recognized as a factor that exacerbates CRC progression. This study aims to study the relationship between aggregated autophagy and CRC using single-cell sequencing techniques. Our goal is to explain the heterogeneity of the TME and to explore the potential for targeted personalized therapies. Objective To study the role of AA in CRC, we employed single-cell sequencing to discern distinct subpopulations within the TME. These subpopulations were characterized by their autophagy levels and further analyzed to identify specific biological processes and marker genes. Results Our study revealed significant correlations between immune factors and both clinical and biological characteristics of the tumor microenvironment (TME), particularly in cells expressing TUBA1B and HSP90AA1. These immune factors were associated with T cell depletion, a reduction in protective factors, diminished efficacy of immune checkpoint blockade (ICB), and enhanced migration of cancer-associated fibroblasts (CAFs), resulting in pronounced inflammation. In vitro experiments showd that silencing TUBA1B and HSP90AA1 using siRNA (Si-TUBA1B and Si-HSP90AA1) significantly reduced the expression of IL-6, IL-7, CXCL1, and CXCL2 and inhibition of tumor cell growth in Caco-2 and Colo-205 cell lines. This reduction led to a substantial alleviation of chronic inflammation and highlighted the heterogeneous nature of the TME. Conclusion This study marks an initial foray into understanding how AA-associated processes may potentiate the TME and weaken immune function. Our findings provide insights into the complex dynamics of the TME and highlight potential targets for therapeutic intervention, suggesting a key role for AA in the advancement of colorectal cancer.

In recent years, the incidence of cosmetic injection-induced botulism has remarkably increased due to the frequent usage of botulinum neurotoxin type A (BoNT/A). To mimic and investigate this new clinical type of botulism, we established a novel animal model and evaluated the therapeutic potential of a new drug. Firstly, we injected BoNT/A into the gastrocnemius of rats to induce partial paralysis of the remaining limbs. Then, the intoxicated rats were treated with 3,4-diaminopyridine (3,4-DAP) at different stages of the disease and the forelimbs grasping strength (FGS) was evaluated. We showed that, at the sublethal dose, the FGS began to decrease at 6.00 ​± ​1.86 ​h after injection in rats, from 2.28 ​± ​0.19 ​N to 1.51 ​± ​0.18 ​N, while the FGS declined appeared earlier (4.29 ​± ​0.42 ​h) at the lethal dose, from 2.30 ​± ​0.20 ​N to 1.20 ​± ​0.16 ​N. Treatment with 3,4-DAP respectively at the time of the symptoms onset or 7 days after injection both can temporarily reverse the symptoms of muscle paralysis, indicating that 3,4-DAP may be an effective approach to relieve botulism. Overall, this study provides an available rat model and a promising therapeutic strategy for cosmetic injection-induced botulism.

This paper investigated the influence of ultraviolet (UV) illumination on the corrosion behavior of 7A04 aluminum alloy in 3.5% NaCl solutions with various pH values (pH=5.0, 7.0, and 10.0) using weight loss measurement, electrochemical methods, and surface analysis techniques. The research results indicated that the corrosion products of 7A04 alloy in salt solutions with different pH values all exhibited n-type semiconductor properties and could trigger the photovoltaic effect under UV illumination. Simultaneously, UV illumination reduced the compactness of the corrosion products, inhibited the enrichment of copper compounds (Cu2O), and promoted the generation of hydroxyl radicals in the solution. Therefore, UV illumination significantly accelerated the corrosion process of 7A04 alloy, with the overall acceleration effect ranking as follows: alkaline > neutral > acidic. In addition, the corrosion mechanism of 7A04 alloy in the test solutions with and without UV illumination was also discussed in this paper.

In this contribution, the complicated dynamical behaviors and optimal harvesting policy of a discrete-time predator–prey model with fear and refuge effects are formulated. Both the fear and prey refuge effects refer to an interaction between predator and prey. In the first place, the existence and local stability of three fixed points of proposed model are investigated by virtue of our methodology, that is, the eigenvalues of the Jacobian matrix. One step further, it is worth mentioning that the model undergoes flip bifurcation (i.e., period–doubling bifurcation) and Neimark–Sacker bifurcation at the interior fixed point by the utilization of bifurcation theory and center manifold theory. Also, optimal harvesting strategy is investigated, and the expressions of optimal harvesting efforts are determined. Two examples, in the end, are put forward to prove that they are consistent with the previous theoretical results.

Abstract T helper cells, particularly T follicular helper (TFH) cells, are essential for the neutralizing antibody production elicited by pathogens or vaccines. However, in immunocompromised individuals, the inefficient support from TFH cells could lead to limited protection after vaccine inoculation. Here we showed that the conjugation of inducible T cell costimulatory (ICOS) onto the nanoparticle, together with immunogen, significantly enhanced the immune response of the vaccines specific for SARS-CoV-2 or human immunodeficiency virus type-1 (HIV-1) in TFH-deficient mice. Further studies indicated that ICOSL on B cells was triggered by ICOS binding, subsequently activated the PKCβ signaling pathway, and enhanced the survival and proliferation of B cells. Our findings revealed that the stimulation of ICOS-ICOSL interaction by adding ICOS on the nanoparticle vaccine significantly substitutes the function of TFH cells to support B cell response, which is significant for the immunocompromised people, such as the elderly or HIV-1-infected individuals.