Prevalence and Serotyping of Salmonella in Retail Food in Huzhou China

Salmonella is one of the most common foodborne pathogens. A total of 70–80% of bacterial food poisoning is caused by Salmonella in China. From 2015 to 2023, a total of 1945 samples in 6 food categories were collected in Huzhou for monitoring of Salmonella. Epidemiological analysis, serotyping, and antibiotic sensitivity testing were conducted on isolated Salmonella. Ninety Salmonella strains were detected from 1945 samples, and the total detection rate was 4.63%. Among all kinds of food, the detection rate of Salmonella in raw animal meat (8.93%) and raw poultry meat (8.54%) was the highest. Salmonella had also been detected in ready-to-eat foods (bulk cooked meat, Chinese cold dishes) and emerging food categories (seasoned raw meat and premade dishes). A total of 24 serotypes of Salmonella were detected, of which the dominant serotype was Salmonella Typhimurium. The serotypes of Salmonella detected in different types of food were different. The results showed that the isolates had strong resistance to ampicillin (AMP) and tetracycline (TET)

Multi-person tracking-by-detection with local particle filtering and global occlusion handling

This paper presents a detection-based method for tracking an uncertain number of persons in complex scenarios with frequent occlusions. Frame-by-frame data association based particle filters are adopted to track targets in occlusion-free regions. When occlusion is detected, the associated trackers are deactivated and they are re-activated when the tracked persons are re-identified after occlusion. The re-identification problem is solved by global data association. And the association cost matrix only integrates information collected from the frames after occlusion to avoid tracking failure caused by false detections during occlusion. Furthermore, we improve the particle initialization by motion prediction and automatically configured dynamic model. Experimental results show that the proposed algorithm effectively reduces id switches and lost trajectories which happen frequently in local filtering methods. In the meantime, the algorithm is suitable for time-critical applications.EICPCI-S(ISTP)[email protected]; [email protected]; [email protected]; [email protected]

Molecular typing and epidemiological profiles of human respiratory syncytial virus infection among children with severe acute respiratory infection in Huzhou, China

Background: Human respiratory syncytial virus (HRSV) is an important pathogen causing severe acute respiratory infection (SARI), particularly in children under 5 years old. We investigated the HRSV infection status and genogroups in pediatric patients with SARI between January 2019 and December 2022 in Huzhou, China. Methods: Nasopharyngeal swabs (NPSs) were collected from pediatric patients in the First People's Hospital of Huzhou. Real-time quantitative RT-PCR for respiratory syncytial virus (A/B)was performed with an QuantStudio 7 Flex Real-Time PCR System. For genotyping, the primer sets A-F/A-R and B-F/B-R were used to amplify the G protein sequences of HRSV-A and HRSV-B, respectively. Phylogenetic analysis was performed using MEGA software. Results: In total, 973 NPSs were collected between January 2019 and December 2022, and 63 samples were positive for HRSV nucleic acid, representing a detection rate of 6.47%. Of the positive specimens, 28 were classified as HRSV-A and 35 were classified as HRSV-B. Infection with HRSV was found in all age groups tested, with children < 5 years old accounting for 88.89% of the positive cases. The detection rate was high from November to the following March. Phylogenetic analysis clustered HRSV-A strains into the ON1 genogroup and HRSV-B strains belonged to the BA9 genogroup. Conclusions: HRSV is an important respiratory pathogen among children in Huzhou, China, with a high incidence in children under 5 years old between winter and spring. HRSV subgroups A and B were co-circulating, and ON1 and BA9 were the two main genogroups identified in this study

MUSIC EMOTION CLASSIFICATION OF CHINESE SONGS BASED ON LYRICS USING TF*IDF AND RHYME

This paper presents the outcomes of research into an automatic classification system based on the lingual part of music. Two novel kinds of short features are extracted from lyrics using tf*idf and rhyme. Meta-learning algorithm is adapted to combine these two sets of features. Results show that our features promote the accuracy of classification and meta-learning algorithm is effective in fusing the two features. 1

Molecular characterization of clinical and environmental Vibrio parahaemolyticus isolates in Huzhou, China.

Vibrio parahaemolyticus is responsible for seafood-borne gastroenteritis worldwide. Isolates of V. parahaemolyticus from clinical samples (n = 54) and environmental samples (n = 38) in Huzhou were analyzed by serological typing, virulence gene detection, antibiotic resistance testing, and pulsed-field gel electrophoresis (PFGE) for molecular typing. O3:K6 was the main serotype and tlh+tdh+trh- was the most frequently detected virulence genotype in clinical strains. O2:Kut was the main serotype and tlh+tdh-trh- was the most frequently detected virulence genotype in environmental strains. Antibiotic resistance testing indicated that the isolates were highly resistant to ampicillin (90.76%), followed by gentamicin and tetracycline. Following the restriction enzyme NotI digestion, the 91 strains yielded 81 PFGE patterns, and 16 clones had similarity values of > 85.00%, indicating a high level of diversity. Finally, there may be cross-contamination between freshwater and seawater products, so it is necessary to strengthen supervision of food processing

Detection and differentiation of vibrio parahaemolyticus by multiplexed real-time PCR assay

Vibrio parahaemolyticus, is a common and important pathogen that causes human gastroenteritis worldwide. A rapid, sensitive and specific assay is urgently required for detection and differentiation of Vibrio parahaemolyticus strains. We designed three sets of primers and probes using the groEL, and two virulence genes (tdh and trh) from V. parahaemolyticus, and developed a multiplex real-time PCR protocol. The sensitivity and specificity of the multiplex assay was evaluated by V.parahaemolyticus strain from environment and clinical specimens. The multiplex PCR response system and annealing temperature were optimized. The detection limits of the multiplex real-time PCR were 104 CFU/mL and 105 CFU/ mL (g)in pure cultures and spiked oysters, respectively. The multiplex real-time PCR specifically detected and differentiated V. parahaemolyticus from 35 Vibrio strains and 11 other bacterial strains. Moreover, this method can detect and distinguish virulent from non-virulent strains, with no cross-reactivity observed in the bacteria tested. This newly established multiplex real-time PCR assay offers rapid, specific and reliable detection for total and pathogenic V. parahaemolyticus strains, which is very useful for rapid detection of total and pathogenic V. parahaemolyticus during outbreaks and sporadic cases caused by V. parahaemolyticus infection.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author

Variable Fractional-Order Equivalent Circuit Model for Lithium-Ion Battery via Chaotic Adaptive Fractional Particle Swarm Optimization Method

A variable fractional-order equivalent circuit model is proposed to accurately describe the dynamic characteristics of lithium-ion batteries (LIBs). Firstly, a fractional impedance model (FIM) is established, such that the fractional-order (FO) is a polynomial function of the LIB state of charge (SOC). Then, a chaotic adaptive fractional particle swarm optimization (CAFPSO) method is derived to identify the parameters of the FIM. Experiments reveal the reliability of the novel approach through the root-mean-squared error (RMSE) and the mean absolute error (MAE) of the LIB terminals voltage, yielding the values 8.99 mV and 4.56 mV, respectively. This translates into accuracy improvements of 22.5% and 34.4% for the particle swarm optimization (PSO) algorithm and 57.9% and 72.8% for the adaptive fractional particle swarm optimization (AFPSO) algorithm, respectively

Crystal structure and functional characterization of the human RBM25 PWI domain and its flanking basic region

Human RBM25 (RNA-binding motif protein 25) is a novel splicing factor that contains a PWI domain, a newly identified RNA/DNA-binding domain, and regulates Bcl-x pre-mRNA alternative splicing. The flanking basic region has been suggested to serve as a co-operative partner of the PWI domain in the binding of nucleic acids, but the structure of this basic region is unknown. In the present paper, we report the crystal structure of the RBM25 PWI domain and its flanking basic region. The PWI domain is revealed to comprise a conserved four-helix bundle, and the flanking basic region forms two a-helices and associates with helix H4 of the PWI domain. These interactions promote directly the formation of an enlarged nucleic-acid-binding platform. Structure-guided mutagenesis reveals a positively charged nucleic-acid-binding surface in the RBM25 PWI domain that is entirely different from that in the SRm160 PWI domain Furthermore, we show that the promotion of the pro-apoptotic Bc1-xS isoform expression by RBM25 is facilitated by the PWI domain in vivo. Thus the present study suggests that the PWI domain plays an important role in the regulation of Bcl-x pre-mRNA alternative splicing