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ObjectiveTo understand the current drug resistance status and bacterial multilocus sequence typing （MLST） of human and avian Campylobacter jejuni in Jinshan District， Shanghai.MethodsFecal samples were collected from diarrhea patients in the annuity mountainous area from 2021 to 2022， and poultry and related samples were collected from 2 poultry farms in the Jinshan area for detection of C. jejuni. Minimal inhibitory concentration （MIC） drug sensitivity test was performed on the detected C. jejuni， and some strains were selected for whole genome sequencing and MLST analysis.ResultsA total of 823 samples of diarrhea disease were collected， and 32 strains of C. jejuni were detected， with a detection rate of 3.89%. Out of 600 poultry related samples， 62 strains of C. jejuni were detected， with a detection rate of 10.33%. Human multidrug resistance reached 93.75% （30/32）， while avian multidrug resistance reached 100.00%（62/62）. The top four drug resistance rates of human and avian C. jejuni were azithromycin （100.00% from humans and 100.00% from birds）， naphthoic acid （93.75% from humans and 87.10% from birds）， ciprofloxacin （90.63% from humans and 98.39% from birds）， and tetracycline （84.38% from humans and 98.39% from birds）. The relatively low resistance strains of human derived C. were erythromycin， chloramphenicol， and thalithromycin. The relatively low resistance strains of avian C. jejuni were erythromycin， clindamycin， and flufenicol. MLST analysis showed that the selected 16 strains of bacteria were divided into 9 ST types， among which the evolutionary relationship of avian C. jejuni was relatively concentrated， while human C. jejuni was relatively dispersed. It was found that one strain of avian C. jejuni was closely related to two strains of human C. jejuni.ConclusionsC. jejuni infection is severe in patients with diarrhea in this region， with a detection rate second only to salmonella and Vibrio parahaemolyticus. C. jejuni infection in poultry is relatively common， and both are highly resistant. Therefore， monitoring and control should be strengthened. MLST analysis shows new ST types in both avian and human sources of C. jejuni， indicating the emergence of new mutations that require continuous monitoring to avoid the epidemics caused by new strains. The isolated strains with close genetic relationships between avian and human sources reveal the evidence of the spread of C. jejuni from poultry to humans. Therefore it is necessary to strengthen the monitoring of C. jejuni in relevant samples from breeding farms.

Diabetic retinopathy has a serious impact on the quality of life of diabetes patients. In clinic, anti-vascular endothelial growth factor, laser or surgical treatment are mainly used, which has limited therapeutic effect, so it is urgent to update more effective prevention and treatment methods. The Hippo signaling pathway is a complex kinase chain that includes a series of kinases and transcription factors involved in regulating processes such as cell proliferation, differentiation, and apoptosis. It has been proved that there is a typical Hippo signaling pathway in the human retina, and its main influencing factor YAP/TEA regulates the process of retinal endothelium and angiogenesis. This article reviews the composition and regulatory mechanism of Hippo signaling pathway, the relationship between Hippo signaling pathway and other signaling pathways and risk factors in diabetic retinopathy, and related drug treatment, in order to provide a broader idea for the prevention and treatment of diabetic retinopathy.

High myopia is a highly population-specific and genetically heterogeneous eye disease for which there is no effective treatment. Myopia is more prevalent and severe in east Asians, especially in China. Prevention and control of myopia and preclinical myopia can help prevent its progression to high myopia. Therefore, numerous studies on molecular genetics and environmental factors have been conducted to identify genes associated with high myopia in order to establish a polygenic risk assessment for myopia and to elucidate the pathogenesis and pathway mechanisms. This paper will discuss the recent advances in genetic loci, risk factors, and myopia prevention and control tools based on modern medicine and molecular genetics for high myopia-related genes.

Objective To investigate the efficacy and safety of fractional micro ablative laser combined with estriol cream in the treatment of postmenopausal mild to moderate stress urinary incontinence（SUI）. Methods Postmenopausal patients（220 cases） with mild to moderate SUI in Sichuan Jinxin Women & Children Hostipal and the Third People's Hospital of Chengdu from January 2020 to January 2022 were randomly divided into the control group（n=110） and the study group（n=110）. The patients in the control group were treated with fractional micro ablative laser, while the patients in the study group was additionally given estriol cream. The patients were followed up for 6 months. The clinical efficacy, 1h urine leakage, urinary incontinence symptom score, quality of life score, selfrating anxiety scale（SAS）, selfrating depression scale（SDS） score, endometrial thickness changes and adverse reactions were compared between two groups. Results One patient was lost to followup in control group. Compared with control group, the total effective rate was higher（84.55% vs 73.39%, P＜0.05）, the 1h urine leakage was less ［（1.96±0.78）g vs （2.56±1.14）g， P＜0.05］, the quality of life score was higher, the scores of urinary incontinence symptoms, SAS and SDS were lower （P＜0.05） in the study group. There was no significant difference in the incidence of adverse reactions and endometrial thickness during treatment and followup （P＞0.05）. Conclusion Fractional micro ablative laser combined with estriol cream in the treatment of mild to moderate postmenopausal SUI can improve the effective rate and the quality of life of patients, relieve anxiety and depression, have long treatment intervals, convenience and high safety.

Three‐dimensional displacement monitoring over long distances has been a long‐standing concern in the structural health monitoring industry. In this study, a multi‐degree‐of‐freedom slope displacement monitoring method is developed by fusing computer vision and the 3D point triangulation method. Attributed to this method, the problems of outdoor binocular camera calibration, multi‐target mismatching, and outdoor illumination effects were solved. First, a two‐stage camera calibration method is proposed to accurately calibrate intrinsic and extrinsic camera parameters under a large field of view and long working distance conditions. Second, the adaptive spatial‐frequency method is proposed to calculate the coding and pixel coordinates of the monitored target. In this step, to solve the problem of mismatching monitored points in different camera frames, the Augmented Reality University of Cordoba code is introduced to provide a unique identity code for each monitored point. To mitigate the impact of illumination and other factors on pixel coordinate calculation, an adaptive pixel coordinate calculation method that combines information from the spatial and frequency domains is proposed., Third, based on the intrinsic and extrinsic parameters of the stereo camera and the pixel coordinates of the monitored points, the 3D coordinates of the monitored points are obtained through triangulation. Finally, the accuracy experiments and stability experiments are conducted. According to the results of the experiments, the measurement distance is positively correlated with the measurement error. And the baseline length is negatively correlated with the measurement error in the z‐direction. Ultimately, we suggest that the ratio of baseline length to measurement distance should be greater than 40%. When the recommended value is satisfied, the measurement error is less than 1 mm when the measurement distance is less than 40 m. When the measurement distance is equal to 90 m, the measurement error is less than 5 mm. Meanwhile, stability experiments of the algorithm were carried out, and in a period of outdoor validation experiments, the fluctuations were only sub‐millimeter, demonstrating good anti‐interference performance. Moreover, the method proposed in this study successfully monitored a landslide disaster in Guangxi, which demonstrated its outstanding practical application capabilities. [ABSTRACT FROM AUTHOR]

Reservoirs exert a profound influence on the cycling of dissolved organic matter (DOM) in inland waters by altering flow regimes. Biological incubations can help to disentangle the role that microbial processing plays in the DOM cycling within reservoirs. However, the complex DOM composition poses a great challenge to the analysis of such data. Here we tested if the interpretable machine learning (ML) methodologies can contribute to capturing the relationships between molecular reactivity and composition. We developed time‐specific ML models based on 7‐day and 30‐day incubations to simulate the biogeochemical processes in the Three Gorges Reservoir over shorter and longer water retention periods, respectively. Results showed that the extended water retention time likely allows the successive microbial degradation of molecules, with stochasticity exerting a non‐negligible effect on the molecular composition at the initial stage of the incubation. This study highlights the potential of ML in enhancing our interpretation of DOM dynamics over time. Plain Language Summary: As a comprehensive man‐made infrastructure, reservoirs significantly influence the chemical composition, reactivity, and turnover time of dissolved organic matter (DOM) within inland waters. However, it remains elusive how DOM molecules respond to microbial processing over different time scales. Besides the well‐recognized predictive power of machine learning (ML) methodologies, we delved into the processes of tuning the ML models to acquire additional interpretability. We used an under‐sampling strategy to improve model performance and simultaneously observed the variations in model performance metrics for different biological reactivity pools over incubations with different durations. We find that shorter incubation periods result in a broader range of molecules disappearing, with a greater contribution of stochasticity, while the longer incubation allows the successive biodegradation of oxygen‐poor compounds, with a greater contribution of directed degradation. As a complement to traditional geochemical methods, we unveiled a novel perspective in understanding the DOM dynamics over time using ML. Key Points: Machine learning (ML) models were built to correlate the molecular composition and biological reactivity at the world's largest reservoirShorter incubations result in a broader range of molecules disappearing, with a greater contribution of stochasticityTuning the ML model contributes to yield additional interpretability beyond its well‐recognized predictive power [ABSTRACT FROM AUTHOR]

Exploring high efficiency S‐scheme heterojunction photocatalysts with strong redox ability for removing volatile organic compounds from the air is of great interest and importance. However, how to predict and regulate the transport of photogenerated carriers in heterojunctions is a great challenge. Here, density functional theory calculations were first used to successfully predict the formation of a CdS quantum dots/InVO4 atomic‐layer (110)/(110) facet S‐scheme heterojunction. Subsequently, a CdS quantum dots/InVO4 atomic‐layer was synthesized by in‐situ loading of CdS quantum dots with (110) facets onto the (110) facets of InVO4 atomic‐layer. As a result of the deliberately constructed built‐in electric field between the adjoining facets, we obtain a remarkably enhanced photocatalytic degradation rate for ethylene. This rate is 13.8 times that of pure CdS and 13.2 times that of pure InVO4. In‐situ irradiated X‐ray photoelectron spectroscopy, photoluminescence and time‐resolved photoluminescence measurements were carried out. These experiments validate that the built‐in electric field enhanced the dissociation of photoexcited excitons and the separation of free charge carriers, and results in the formation of S‐scheme charge transfer pathways. The reaction mechanism of the photocatalytic C2H4 oxidation is investigated by in‐situ electron paramagnetic resonance. This work provides a mechanistic insight into the construction and optimization of semiconductor heterojunction photocatalysts for application to environmental remediation. [ABSTRACT FROM AUTHOR]