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Jinquan Liu,1 Ruihua Zhang,1 Tingting Lian,2 Zuoxi Chen,1 Rui-Li Zhang,3 Qianqiu Wang1 1Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Center for STD Control, China Centers for Disease Control and Prevention, Nanjing, 210042, People’s Republic of China; 2Department of Dermatology, Zhongshan Hospital, Fudan University, Shanghai, 200032, People’s Republic of China; 3Department of Dermatology, the Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, People’s Republic of ChinaCorrespondence: Rui-Li Zhang; Qianqiu Wang, Email reallyvictor@126.com; wangqianqiunj@126.comPurpose: Syphilis is a sexually transmitted bacterial infection caused by Treponema pallidum (T. pallidum), which can lead to chronic morbidity and adverse complications. In clinical practice, serofast status (SF) patients present with clinical symptoms that are very similar to those of healthy individuals or syphilis-cured patients, and often require prolonged follow-up for diagnosis. Currently, there is increasing interest in the potential of plasma exosome-derived miRNA as a biomarker for the detection of infectious diseases. In this study, we aimed to explore the diagnostic potential of miRNA in SF and its possible biological implications.Patients and Methods: Exosome-derived miRNAs were isolated from peripheral plasma samples obtained from 20 patients with secondary syphilis (SS), SF, serologically cured syphilis (SC), and healthy controls (HC), and differentially expressed miRNAs (DEmiRNAs) were identified by microarray analysis. Prediction of potential target genes, functional annotation, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were then performed. The expression of selected miRNAs was confirmed in 37 patients by quantitative reverse transcription polymerase chain reaction (RT-qPCR). A receiver operating characteristic (ROC) analysis was performed to evaluate the diagnostic performance of these miRNAs in differentiating syphilis from HC or SC.Results: The expression profile of plasma exosome-derived miRNA was discovered in individuals with SF through microarray analysis. The targeted genes of DEmiRNAs were found to be involved in diverse biological processes according to GO and KEGG analysis, such as regulation of transcription, mitochondria, Golgi, immune system, apoptosis, Ras signaling pathway, etc. Using RT-qPCR validation, miR-1273g-3p, miR-4485-5p, miR-197-3p, and miR-1908-3p showed significant upregulation in patients with SF. These miRNAs exhibited a superior diagnostic ability, either individually or combined, to distinguish SF from SC or HC.Conclusion: The DEmiRNAs in plasma exosomes may play a role in the pathogenesis of SF and have the potential to become a noble and effective diagnostic method.Keywords: serofast status, syphilis, microRNA, exosome, biomarker

Zhang X, Lian T, Fan W, et al. Cancer Manag Res. 2020;12:9033–9043. We, the Editors and Publisher of Cancer Management and Research, have retracted the following article. Following publication of the article, concerns were raised about the duplication of images from Figures 2, 3, and 5 with images from other unrelated articles. Specifically, Images for Figure 2D have been duplicated with images for Figure 3D from Zhang RL, Aimudula A, Dai JH, Bao YX. RASA1 inhibits the progression of renal cell carcinoma by decreasing the expression of miR-223-3p and promoting the expression of FBXW7. Biosci Rep. 2020;40(7):BSR20194143. https://doi.org/10.1042/BSR20194143 and Figure 4D from Chen J, Li X, Yang L, Li M, Zhang Y, Zhang J. CircASH2L Promotes Ovarian Cancer Tumorigenesis, Angiogenesis, and Lymphangiogenesis by Regulating the miR-665/VEGFA Axis as a Competing Endogenous RNA. Front. Cell Dev. Biol. 2020;8:595585. doi: https://doi.org/10.3389/fcell.2020.595585. Images for Figure 3A have been duplicated with images for Figure 3A from Luo J, Jin Y, Li M, Dong L. Tumor suppressor miR‑613 induces cisplatin sensitivity in non‑small cell lung cancer cells by targeting GJA1. Molecular Medicine Reports. 2021;23:385. Images for Figure 3F have been duplicated with images for Figure 5C from Ruan L, Qian X. MiR-16-5p inhibits breast cancer by reducing AKT3 to restrain NF-κB pathway. Biosci Rep. 2019;39(8):BSR20191611. https://doi.org/10.1042/BSR20191611 (RETRACTED) and Figure 6F from Li Q, Wang W, Zhang M, Sun W, Shi W, Li F. Circular RNA circ-0016068 Promotes the Growth, Migration, and Invasion of Prostate Cancer Cells by Regulating the miR-330-3p/BMI-1 Axis as a Competing Endogenous RNA. Front. Cell Dev. Biol. 2020;8:827. doi: 10.3389/fcell.2020.00827. Images for Figure 5E have been duplicated with images for Figure 5G from Zhang RL, Aimudula A, Dai JH, Bao YX. RASA1 inhibits the progression of renal cell carcinoma by decreasing the expression of miR-223-3p and promoting the expression of FBXW7. Biosci Rep. 2020;40(7):BSR20194143. https://doi.org/10.1042/BSR20194143 and Figure 6I from Luo J, Jin Y, Li M, Dong L. Tumor suppressor miR‑613 induces cisplatin sensitivity in non‑small cell lung cancer cells by targeting GJA1. Molecular Medicine Reports. 2021;23:385. The authors did not respond to our queries and were unable to provide an explanation for the duplicated images or provide data for the study. As verifying the validity of published work is core to the integrity of the scholarly record, we are therefore retracting the article and the authors were notified of this. We have been informed in our decision-making by our editorial policies and COPE guidelines. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as “Retracted”.

Xudong Zhang,1,* Ting Lian,2,* Wenjun Fan,3 Guangwei Zhang,4 Ziwei Chen,2 Xingchun Gou,5 Rajiv Kumar Jha1 1China-Neal Friendship Medical Research Center of Rajiv Kumar Jha, School of Clinical Medicine, Institute of Basic and Translational Medicine, Xi’an Medical University, Xi’an, People’s Republic of China; 2Research Center for Prevention and Treatment of Respiratory Disease, School of Clinical Medicine, Xi’an Medical University, Xi’an, People’s Republic of China; 3Department of Neurology, First Affiliated Hospital of Xi’an Medical University, Xi’an, People’s Republic of China; 4School of Public Health, Xi’an Medical University, Xi’an, People’s Republic of China; 5Institute of Basic and Translational Medicine, Xi’an Medical University, Xi’an, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xingchun Gou; Rajiv Kumar Jha Email aozanw4282@163.com; ilku142@163.comObjective: The long-noncoding RNAs (lncRNAs) have been identified as key players in diverse cellular processes in non-small cell lung cancer (NSCLC). However, the understanding of biological functions and detailed mechanisms of lncRNAs is still limited. Herein, the lncRNA cancer susceptibility candidate 9 (CASC9) on NSCLC progression is investigated.Materials and Methods: Expressions of CASC9, HuR and cell division cycle 6 (CDC6) in NSCLC tissues were detected with quantitative real-time polymerase chain reaction (qRT-PCR). The cell counting kit-8, transwell assays, and flow cytometry were used to examine cell proliferation, migration, and the cell cycle. Tumor growth in vivo was evaluated by xenograft tumor experiments and immunohistochemistry. RNA-binding protein immunoprecipitation (RIP) was used to identify the interaction between HuR and CDC6, and CASC9 and HuR.Results: CASC9, CDC6 and HuR expression were found significantly upregulated in NSCLC tissues, which predicted poorer 5-year overall survival in NSCLC patients. Inhibition of CASC9 significantly reduced the malignancy of NSCLC cells, such as proliferation, migration and cell cycle. In vivo experiments further demonstrated that CASC9 knockdown reduced the tumor growth and the Ki-67 expression. Moreover, CASC9 knockdown inhibited the expression of CDC6 which was detected overexpressed in NSCLC tumor tissues. Then, up-regulation of CDC6 could partly reverse the negative effects of CASC9 on cell proliferation, migration and cell cycle. RIP assay and rescue experiment showed that CASC9 regulated CDC via binding to HuR.Conclusion: Our results indicate that CASC9 conferred an aggressive phenotype in NSCLC and might be a pivotal target for this disease.Keywords: lncRNA, non-small cell lung cancer, proliferation, migration, cell cycle

Previous studies linked the increase of the middle and low reaches of the Yangtze River (MLRYR) rainfall to tropical Indian Ocean warming during extreme El Niños' (e.g., 1982/83 and 1997/98 extreme El Niños) decaying summer. This study finds the linkage to be different for the recent 2015/16 extreme El Niño's decaying summer, during which the above-normal rainfalls over MLRYR and northern China are respectively linked to southeastern Indian Ocean warming and western tropical Indian Ocean cooling in sea surface temperatures (SSTs). The southeastern Indian Ocean warming helps to maintain the El Niño-induced anomalous lower-level anticyclone over the western North Pacific Ocean and southern China, which enhances moisture transport to increase rainfall over MLRYR. The western tropical Indian Ocean cooling first enhances the rainfall over central-northern India through a regional atmospheric circulation, the latent heating of which further excites a midlatitude Asian teleconnection pattern (part of circumglobal teleconnection) that results in an above-normal rainfall over northern China. The western tropical Indian Ocean cooling during the 2015/16 extreme El Niño is contributed by the increased upward latent heat flux anomalies associated with enhanced surface wind speeds, opposite to the earlier two extreme El Niños.

Previous neuroimaging studies on empathy have not clearly identified neural systems that support the three components of empathy: affective congruence, perspective-taking, and prosocial motivation. These limitations stem from a focus on a single emotion per study, minimal variation in amount of social context provided, and lack of prosocial motivation assessment. In the current investigation, 32 participants completed a functional magnetic resonance imaging session assessing empathic responses to individuals experiencing painful, anxious, and happy events that varied in valence and amount of social context provided. They also completed a 14-day experience sampling survey that assessed real-world helping behaviors. The results demonstrate that empathy for positive and negative emotions selectively activates regions associated with positive and negative affect, respectively. In addition, the mirror system was more active during empathy for context-independent events (pain), whereas the mentalizing system was more active during empathy for context-dependent events (anxiety, happiness). Finally, the septal area, previously linked to prosocial motivation, was the only region that was commonly activated across empathy for pain, anxiety, and happiness. Septal activity during each of these empathic experiences was predictive of daily helping. These findings suggest that empathy has multiple input pathways, produces affect-congruent activations, and results in septally mediated prosocial motivation.

Abstract Background Bone defects and nonunion following initial treatment remain significant clinical challenges. The Ilizarov method constitutes a fundamental approach for addressing bone defects, and its integration with adjunctive techniques, such as the accordion maneuver, antibiotic spacers, or internal fixation, has become increasingly widespread. Despite this, limited research exists on the clinical outcomes specifically related to the use of the Ilizarov method combined with the accordion technique for treating long bone defects in the lower limbs. Objective This study seeks to systematically review the application of the Ilizarov method in combination with the accordion technique for addressing long bone deficiencies in the lower limbs. Study Design Systematic review; Level of evidence, 4. Methods A systematic review was performed in alignment with the PRISMA guidelines (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), involving searches of Medline, Embase, Web of Science, and the Cochrane Library, with the search process concluding on August 20, 2024. The study population consisted of patients with bone defects who underwent treatment using the Ilizarov method in conjunction with the accordion technique. The methodological quality of the included studies was evaluated using the MINORS (Methodological Index for Non-Randomized Studies) scoring system. This study recorded and analyzed the participant count for each study that met the inclusion criteria, along with the number of patients who achieved bone healing, the bone and functional outcomes, and complications such as pin infections, pain, and refracture. Results Drawing from eight studies involving 80 patients with bone defects treated through the Ilizarov method combined with the accordion technique, this systematic review evaluated the method’s impact on bone regeneration. Of these patients, 24% presented with femoral defects, while 76% had tibial defects. The mean patient age was 32.8 years, with an average follow-up of 25.2 months. The accordion technique involved daily distraction and compression adjustments ranging from 0.25 to 1 mm, typically in more than two cycles, effectively promoting bone healing. The bone healing rate was high, with the majority of patients rated as having excellent or good functional recovery, according to standards such as ASAMI and Paley. Common complications included superficial pin tract infections (33.75%) and deep pin tract infections (6.25%), both of which were generally manageable with routine treatment. The accordion technique showed promising results in shortening healing time and enhancing the quality of bone healing. Conclusion This systematic review demonstrates that despite variations in parameter settings across studies, the Ilizarov method combined with the accordion technique consistently shows strong efficacy and safety in promoting bone regeneration and functional recovery. While some complications may arise, they are generally well-managed with standard care. This approach represents a reliable option for complex bone reconstruction, with future research needed to optimize parameters and further enhance clinical outcomes.

Abstract A nomogram to estimate the risk of linezolid-induced thrombocytopenia in patients with renal impairment is not available. The aim of the study is to develop a nomogram for predicting linezolid-induced thrombocytopenia in patients with renal impairment and to investigate the incremental value of PNU-142300 concentration beyond clinical factors and linezolid trough concentration (Cmin) for risk prediction. Logistic regression was used to identify independent risk factors for linezolid-induced thrombocytopenia in patients with renal impairment and nomograms were established. The performance of the nomograms was assessed in terms of area under the receiver operating characteristic curve (AUROC), net reclassification improvement (NRI), integrated discrimination improvement (IDI) , decision curve analysis (DCA) and calibration. Internal validation and external validation of the nomograms were also performed. Four nomograms were created: nomogram A including total bilirubin, creatinine clearance and concomitant mannitol use; nomogram B containing linezolid Cmin additionally; nomogram C containing total bilirubin, concomitant mannitol use, linezolid Cmin, and PNU142300 concentration; nomogram D including total bilirubin, concomitant mannitol use, and PNU142300 concentration. Nomogram C improved the prediction performance than nomogram A (AUROC 0.881 vs. 0.749; NRI 0.290; IDI 0.226) and nomogram B (AUROC 0.881 vs. 0.812; NRI 0.152; IDI 0.130) in the training cohort. DCA analysis showed that nomogram C yielded a greater net benefit. Compared with nomogram A and nomogram B, nomogram C also showed superior discriminatory efficacy, good calibration and clinical usefulness in the external validation cohort. The nomogram containing PNU-142300 concentration and linezolid Cmin had better predictive capability than that containing linezolid Cmin for predicting linezolid-induced thrombocytopenia in patients with renal impairment.

Abstract Introduction The Ilizarov bone transport technique is widely recognised as an effective method for treating large segment bone defects in clinical practice. However, axial deviation is a common complication in the treatment of tibial large segment bone defects, which can have a serious impact on the clinical efficacy of bone transport. Our study aims to construct and validate a nomogram for predicting axial deviation of tibial bone transport. Method This study retrospectively collected data from 363 patients who underwent the tibial Ilizarov technique for bone transport. Univariate and multivariate logistic regression analyses were performed to determine the independent risk factors for axial deviation, which were later used to construct a nomogram. The nomogram was evaluated using the decision curve analysis (DCA), the calibration curve, and the area under the receiver operating characteristic curve (AUC). Results Of the 363 patients who underwent Ilizarov tibial bone transport, 31.7% (115/363) experienced axial deviation. Multivariate logistic regression analysis showed that gender, height, defect site, and external fixation index were important risk factors for axial deviation. The AUC value of the nomogram model was 0.705. The calibration curve and the decision curve analysis showed a good consistency between the actual axial deviation and the predicted probability. Conclusion The model assigns a quantitative risk score to each variable, which can be used to predict the risk of axial deviation during tibial bone transport.

Abstract Objective To establish the population pharmacokinetics (PPK) of magnesium sulfate (MgSO4)in women with preeclampsia (PE), and to determine the key covariates having an effect in magnesium pharmacokinetics in Chinese PE. Methods Pregnant women with PE prescribed MgSO4 were enrolled in this prospective study from April 2021 to April 2023. On the initial day of administration, the patients were administered a loading dose of 5 g in conjunction with 10 g of magnesium sulfate as a maintenance dose. On the second day, only the maintenance dose was administration, and maternal blood samples were taken at 0, 4, 5, and 12 h after the second day’s 10 g maintenance dose. The software Phoenix was used to estimate PPK parameters of MgSO4, such as clearance (CL) and volume of distribution (V), and to model PPK models with patient demographic, clinical, and laboratory covariates. Results A total of 199 blood samples were collected from 51 women with PE and PPK profiles were analyzed. The PPK of MgSO4 is consistent with to a one-compartment model. The base model adequately described the maternal serum magnesium concentrations after magnesium administration. The population parameter estimates were as follows: CL was 2.98 L/h, V was 25.07 L. The model predictions changed significantly with covariates (BMI, creatinine clearance, and furosemide). Furosemide statistically influences V. The creatinine clearance, BMI and furosemide jointly affects CL. Monte Carlo simulation results showed that a loading dose combined with a maintenance dose would need to be administered daily to achieve the therapeutic blood magnesium concentrations. For the non-furosemide group, the optimal dosing regimen was a 5 g loading dose combined with a 10 g maintenance dose of MgSO4. For the furosemide group, the optimal dosing regimen was a 2.5 g loading dose combined with a 10 g maintenance dose of MgSO4. Conclusions The magnesium PPK model was successfully developed and evaluated in Chinese preeclampsia population, and the dose optimization of MgSO4 was completed through Monte Carlo simulation.

Abstract Background To explore the associations between anxiety and depression symptoms and academic burnout among children and adolescents in China, and to examine the role of resilience and self-efficacy in addressing academic burnout. Methods A total of 2,070 students in grades 4–8 were recruited from two primary and three middle schools in Shanghai, completed the Elementary School Student Burnout Scale (ESSBS), the Multidimensional Anxiety Scale for Children-Chinese (MASC-C), the Center for Epidemiological Studies Depression Scale (CES-D), the Connor-Davidson Resilience Scale (CD-RISC), and the General Self-Efficacy Scale (GSES), with 95.04% effective response rate. Multivariable regression analyses examining the associations between anxiety / depression symptoms and academic burnout (as well as the associations between resilience / self-efficacy and academic burnout) were performed using STATA 16.0 and SmartPLS 3.0. Results Anxiety symptoms (β = 0.124, p

Abstract Intelligent detection of athlete behavior is beneficial for guiding sports instruction. Existing mature target detection algorithms provide significant support for this task. However, large-scale target detection algorithms often encounter more challenges in practical application scenarios. We propose SCB-YOLOv5, to detect standardized movements of gymnasts. First, the movements of aerobics athletes were captured, labeled using the labelImg software, and utilized to establish the athlete normative behavior dataset, which was then enhanced by the dataset augmentation using Mosaic9. Then, we improved the YOLOv5 by (1) incorporating the structures of ShuffleNet V2 and convolutional block attention module to reconstruct the Backbone, effectively reducing the parameter size while maintaining network feature extraction capability; (2) adding a weighted bidirectional feature pyramid network into the multiscale feature fusion, to acquire precise channel and positional information through the global receptive field of feature maps. Finally, SCB-YOLOv5 was lighter by 56.9% than YOLOv5. The detection precision is 93.7%, with a recall of 99% and mAP value of 94.23%. This represents a 3.53% improvement compared to the original algorithm. Extensive experiments have verified that our method. SCB-YOLOv5 can meet the requirements for on-site athlete action detection. Our code and models are available at https://github.com/qingDu1/SCB-YOLOv5 .

Abstract Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease, and the role of HOXA transcript at the distal tip (HOTTIP) in its pathogenesis remains underexplored. This study investigates the mechanism by which HOTTIP influences apoptosis and the inflammatory response of fibroblast‐like synoviocytes (FLS). An RA mouse model was established, and clinical scores were analyzed. Pathological changes in synovial tissues, bone mineral density (BMD) of the paws, serum tartrate‐resistant acid phosphatase (TRAP) activity, and TNF‐α and IL‐1β levels were assessed. FLS were transfected, and cell proliferation and apoptosis were examined. The RNA‐pull‐down assay determined HOTTIP's interaction with mixed‐lineage leukemia 1 (MLL1), while RNA immunoprecipitation assay measured HOTTIP expression pulled down by MLL1. The levels of MLL1 and toll‐like receptor 4 (TLR4) after MLL1 overexpression based on HOTTIP silencing were determined. Chromatin immunoprecipitation (ChIP) was performed with H3K4me3 as an antibody, followed by the evaluation of TLR4 expression. HOTTIP expression was elevated in RA mouse synovial tissues. Inhibition of HOTTIP led to reduced clinical scores, inflammatory infiltration, synovial hyperplasia, TRAP activity, and TNF‐α and IL‐1β levels, along with increased BMD. In vitro Interference with HOTTIP suppressed RA‐FLS apoptosis and inflammation. HOTTIP upregulated TLR4 expression by recruiting MLL1 to facilitate TLR4 promoter methylation. MLL1 overexpression reversed HOTTIP silencing‐mediated repression of RA‐FLS apoptosis. Activation of H3K4 methylation counteracted HOTTIP knockout, ameliorating the inflammatory response. HOTTIP regulates TLR4 expression by recruiting MLL1, leading to TLR4 promoter methylation, thereby suppressing RA‐FLS proliferation and inducing cell apoptosis and inflammatory response in RA.

Op geriatrische revalidatie afdelingen in Nederland wordt revalidatie aangeboden in een uitdagend revalidatieklimaat. In het proefschrift A Challenging Rehabilitation Environment – CREATE a team self-evaluation tool is uitgezocht welke factoren belangrijk zijn in dit klimaat. Hiervoor is gebruik gemaakt van literatuur onderzoek, kwalitatieve studies met ervaringsdeskundigen en (inter)nationale professionals en concept mapping. Dit heeft uiteindelijk geleidt tot een conceptualisering van het uitdagend revalidatieklimaat in vijf clusters.

Abstract Objective Osteoporosis is the imbalance in bone homeostasis between osteoblasts and osteoclasts. In this study, we investigated the effects of the circ_0029463/miR-134-5p/Rab27a axis on RANKL-induced osteoclast differentiation. Methods RT-qPCR and western blotting were used to detect the expression of circ_0029463, miR-134-5p, and Rab27a in tissues from patients with osteoporosis and in RANKL-induced osteoclasts. Osteoclast differentiation was verified by TRAP staining. Osteoclast biomarkers, including NFATc1, TRAP, and CTSK, were measured. The target and regulatory relationships between circ_0029463, miR-134-5p, and the Rab27a axis were verified using RIP, dual-luciferase reporter gene, and RNA pull-down assays. Results Elevated expression of circ_0029463 and Rab27a and decreased miR-134-5p expression were observed in the tissues of patients with osteoporosis, and a similar expression pattern was observed in RANKL-induced osteoclasts. Suppression of circ_0029463 expression or miR-134-5p overexpression curbed RANKL-induced osteoclast differentiation, whereas such an effect was abolished by Rab27 overexpression. circ_0029463 sponges miR-134-5p to induce Rab27a expression. Conclusion circ_0029463 sponges miR-134-5p to abolish its suppressive effect of miR-134-5p on Rab27a expression, thereby promoting osteoclast differentiation.

The virtual synchronous generator (VSG) strategy addresses the challenges of low inertia and weak damping in a grid, exacerbated by the high penetration of renewable energy sources, by simulating the external characteristics of synchronous generators (SGs). However, the power electronic nature of VSGs can lead to a significant overshoot in the grid frequency response and issues with low-frequency oscillations when the system experiences disturbances. To mitigate these effects, this study proposes an improved self-adaptive control strategy to enhance VSGs’ frequency response characteristics of VSGs during grid connection and under perturbations, analyzed from a parametric perspective. Initially, the VSG active control model is employed to analyze the mechanism by which various parameters affect power frequency regulation during dynamic processes. The optimal initial values for virtual inertia and damping were determined using an enhanced particle swarm optimization algorithm. Subsequently, the impact of the power quality is incorporated into the selection of the fitness function. In addition, an inertia link was integrated into the control strategy, and the optimal value of the inertia coefficient was established through simulation. Finally, the proposed control strategy is compared with the fixed-parameter control strategy and classical adaptive control strategy under various operating conditions. The results indicate that substituting the initial value obtained from the improved algorithm nearly eliminates oscillations during a one-time frequency modulation. When the active power command of the system is increased by 20%, the overshoot of the frequency waveform using the improved strategy is reduced by 25.2% compared with the classical strategy. This suggests that the proposed control strategy facilitates a smoother transition of the system to the next state when subjected to disturbances, thereby enhancing the frequency response of the system.

Accurate identification of individual cow identity is a prerequisite for the construction of digital farms and serves as the basis for optimized feeding, disease prevention and control, breed improvement, and product quality traceability. Currently, cow identification faces challenges such as poor recognition accuracy, large data volumes, weak model generalization ability, and low recognition speed. Therefore, this paper proposes a cow identification method based on YOLOX-S-TKECB. (1) Based on the characteristics of Holstein cows and their breeding practices, we constructed a real-time acquisition and preprocessing platform for two-dimensional Holstein cow images and built a cow identification model based on YOLOX-S-TKECB. (2) Transfer learning was introduced to improve the convergence speed and generalization ability of the cow identification model. (3) The CBAM attention mechanism module was added to enhance the model’s ability to extract features from cow torso patterns. (4) The alignment between the apriori frame and the target size was improved by optimizing the clustering algorithm and the multi-scale feature fusion method, thereby enhancing the performance of object detection at different scales. The experimental results demonstrate that, compared to the traditional YOLOX-S model, the improved model exhibits a 15.31% increase in mean average precision (mAP) and a 32-frame boost in frames per second (FPS). This validates the feasibility and effectiveness of the proposed YOLOX-S-TKECB-based cow identification algorithm, providing valuable technical support for the application of dairy cow identification in farms.

Shallow floodplains play a crucial role in river basins by providing essential ecological, hydrological, and geomorphic functions. During floods, intricate hydrodynamic conditions arise as flow exits and re-enters the river channel, interacting with the shallow vegetation. The influence and mechanism of shoal vegetation on channel hydrodynamics, bed topography, and sediment transport remain poorly understood. This study employs numerical simulations to address this gap, focusing on the Xiaolangdi–Taochengpu river section downstream of the Yellow River. Sinusoidal-derived curves are applied to represent the meandering river channel to simulate the river’s evolutionary process at a true scale. The study simulated the conditions of bare and vegetated shallow areas using rigid water-supported vegetation with the same diameter but varying spacing. The riverbed substrate was composed of non-cohesive sand and gravel. The analysis examined alterations in in-channel sediments, bed morphology, and bed heterogeneity in relation to variations in vegetation density. Findings indicated a positive correlation between vegetation density and bed heterogeneity, implying that the ecological complexity of river habitats can be enhanced under natural hydrological conditions in shallow plain vegetation and riparian diffuse flow. Therefore, for biological river restoration, vegetation planting in shallow plain regions can provide greater effectiveness.

As the primary grain crop in China, wheat holds a significant position in the country’s agricultural production, circulation, consumption, and various other aspects. However, the presence of imperfect grains has greatly impacted wheat quality and, subsequently, food security. In order to detect perfect wheat grains and six types of imperfect grains, a method for the fast and non-destructive identification of imperfect wheat grains using hyperspectral images was proposed. The main contents and results are as follows: (1) We collected wheat grain hyperspectral data. Seven types of wheat grain samples, each containing 300 grains, were prepared to construct a hyperspectral imaging system for imperfect wheat grains, and visible near-infrared hyperspectral data from 2100 wheat grains were collected. The Savitzky–Golay algorithm was used to analyze the hyperspectral images of wheat grains, selecting 261 dimensional effective hyperspectral datapoints within the range of 420.61–980.43 nm. (2) The Successive Projections Algorithm was used to reduce the dimensions of the 261 dimensional hyperspectral datapoints, selecting 33 dimensional hyperspectral datapoints. Principal Component Analysis was used to extract the optimal spectral wavelengths, specifically selecting hyperspectral images at 647.57 nm, 591.78 nm, and 568.36 nm to establish the dataset. (3) Particle Swarm Optimization was used to optimize the Support Vector Machines model, Convolutional Neural Network model, and MobileNet V2 model, which were established to recognize seven types of wheat grains. The comprehensive recognition rates were 93.71%, 95.14%, and 97.71%, respectively. The results indicate that a larger model with more parameters may not necessarily yield better performance. The research shows that the MobileNet V2 network model exhibits superior recognition efficiency, and the integration of hyperspectral image technology with the classification model can accurately identify imperfect wheat grains.

Abstract Aim To investigate the association of resilience with self‐care and quality of life in people with chronic obstructive pulmonary disease. Design Cross‐sectional study. Methods Data were collected between February and May 2021. Self‐care was measured with the self‐care of chronic illness inventory, quality of life was measured with the clinical chronic obstructive pulmonary disease questionnaire and resilience was measured with the resilience evaluation scale. Possible confounders were included (sex, age, smoking, time since diagnosis of chronic obstructive pulmonary disease, educational level, social support and pulmonary function). Multiple regression analysis was performed among the determinants, confounders and both outcomes. Results Participants scored fairly well on resilience (mean 22.5). Self‐care scored reasonably well (mean maintenance 65.9, mean monitoring 70.9, mean management 59.9 and mean confidence 71.5). Quality of life scored mediocre (mean 2.6). The results of the linear multiple regression were resilience, which is associated with self‐care confidence and quality of life when adjusted for possible confounders. This means people with chronic obstructive pulmonary disease with higher resilience have better self‐care confidence and higher quality of life. The outcome contributes to strengthening nursing care and further developing nurses' knowledge. The results can contribute to increasing awareness for healthcare professionals that resilience can potentially increase self‐care and quality of life.

Abstract Background To report the ocular characteristics and management of three cases of retinitis pigmentosa (RP) concurrent primary angle closure glaucoma (PACG). Case presentation Three middle-aged patients presenting with diminished vision, high intraocular pressure (IOP), and typical fundus manifestations of RP were clinically evaluated. The individualized treatment was based on the ocular conditions of each case. A novel genetic alteration in ZNF408 was identified in one patient. Two patients with short-axial eyes received unilateral combined trabeculectomy, cataract surgery, and Irido-zonulo-hyaloid-vitrectomy. One of them had a subluxated lens, managed with a capsular tension ring implantation. Their contralateral eyes, respectively, underwent laser peripheral iridotomy (LPI) and transscleral cyclophotocoagulation. The third patient underwent bilaterally combined laser peripheral iridoplasty, LPI, and medication. Ultimately, all patients achieved the target IOP during a two-year follow-up. Conclusion Young patients with RP may have a risk of developing angle closure glaucoma, and conversely, patients with angle closure glaucoma at younger age should be aware of the presence of RP. Therefore, routine gonioscopy and IOP monitoring are required for RP patients, and detailed fundus examinations are warranted for young PACG patients.