Tetracycline degradation by dual-frequency ultrasound combined with peroxymonosulfate.

Tetracycline has received a great deal of interest for the harmful effects of substance abuse on ecosystems and humanity. The effects of different processes on the degradation of tetracycline were compared, with dual-frequency ultrasound (DFUS) in combination with peroxymonosulfate (PMS) being the most effective for the tetracycline degradation. Free radical scavenging experiments showed that O2∙-,SO4∙- and •OH were the main reactive radicals in the degradation of tetracycline. According to the major intermediates of tetracycline degradation identified, three possible degradation pathways were proposed, which are of significance for translational studies of tetracycline degradation. Notably, these intermediates were found to be significantly less toxicity. The number of active bubbles in the degradation vessel was calculated using a semi-empirical formula, and a higher value of 1.44 × 108 L-1s-1 of bubbles was obtained when using dual-frequency ultrasound at 20 kHz (210 W/L) and 80 kHz (85.4 W/L). Therefore, compared to 20 kHz, although the yield of strong oxidizing substances from individual active bubbles decreased slightly, a significant increment of the number of active bubbles still resulted in a higher synergistic effect, and the combination of DFUS and PMS should be effective in promoting the generation of reactive free radicals and mass transfer processes within the degradation vessel, which provides a method for efficient removal of tetracycline from wastewater.

The efficacy and safety of ciprofol and propofol in patients undergoing colonoscopy: A double-blind, randomized, controlled trial.

STUDY OBJECTIVE: Propofol is a commonly utilized anesthetic for painless colonoscopy, but its usage is occasionally limited due to its potential side effects, including cardiopulmonary suppression and injection pain. To address this limitation, the novel compound ciprofol has been proposed as a possible alternative for propofol. This study sought to determine whether there are any differences in the safety and efficacy of propofol and ciprofol for painless colonoscopy. DESIGN: Randomized clinical trial. SETTING: Single-centre, class A tertiary hospital, November 2021 to November 2022. PATIENTS: Adult, American Society of Anesthesiologists Physical Status I to II and body mass index of 18 to 30 kg m-2 patients scheduled to undergo colonoscopy. INTERVENTIONS: Consecutive patients were randomly allocated in a 1:1 ratio to receive sedation for colonoscopy with ciprofol (group C) or propofol (group P). MEASUREMENTS: The primary outcome was the success rate of colonoscopy. The secondary outcomes were onset time of sedation, operation time, recovery time and discharge time, patients and endoscopists satisfaction, side effects (e.g. injection pain, myoclonus, drowsiness, dizziness, procedure recall, nausea and vomiting) and incidence rate of cardiopulmonary adverse events. MAIN RESULTS: No significant difference was found in the success rate of colonoscopy between the two groups (ciprofol 96.3% vs. propofol 97.6%; mean difference - 1.2%, 95% CI: -6.5% to 4.0%, P = 0.650). However, group C showed prolonged sedation (63.4 vs. 54.8 s, P < 0.001) and fully alert times (9 vs 8 min, P = 0.013), as well as reduced incidences of injection pain (0 vs. 40.2%, P < 0.001), respiratory depression (2.4% vs. 13.4%, P = 0.021) and hypotension (65.9% vs. 80.5%, P = 0.034). Patients satisfaction was also higher in Group C (10 vs 9, P < 0.001). CONCLUSIONS: Ciprofol can be used independently for colonoscopy. When comparing the sedation efficacy of ciprofol and propofol, a 0.4 mg kg-1 dose of ciprofol proved to be equal to a 2.0 mg kg-1 dose of propofol, with fewer side effects and greater patient satisfaction during the procedure.

PCKRF: Point Cloud Completion and Keypoint Refinement With Fusion Data for 6D Pose Estimation.

Some robust point cloud registration approaches with controllable pose refinement magnitude, such as ICP and its variants, are commonly used to improve 6D pose estimation accuracy. However, the effectiveness of these methods gradually diminishes with the advancement of deep learning techniques and the enhancement of initial pose accuracy, primarily due to their lack of specific design for pose refinement. In this paper, we propose Point Cloud Completion and Keypoint Refinement with Fusion Data (PCKRF), a new pose refinement pipeline for 6D pose estimation. The pipeline consists of two steps. First, it completes the input point clouds via a novel pose-sensitive point completion network. The network uses both local and global features with pose information during point completion. Then, it registers the completed object point cloud with the corresponding target point cloud by our proposed Color supported Iterative KeyPoint (CIKP) method. The CIKP method introduces color information into registration and registers a point cloud around each keypoint to increase stability. The PCKRF pipeline can be integrated with existing popular 6D pose estimation methods, such as the full flow bidirectional fusion network, to further improve their pose estimation accuracy. Experiments demonstrate that our method exhibits superior stability compared to existing approaches when optimizing initial poses with relatively high precision. Notably, the results indicate that our method effectively complements most existing pose estimation techniques, leading to improved performance in most cases. Furthermore, our method achieves promising results even in challenging scenarios involving textureless and symmetrical objects. Our source code is available at https://github.com/zhanhz/KRF.

VOx Matrix Confinement Approach to Generate Sub-3 nm L10-Pt-Based Intermetallic Catalysts for Fuel Cell Cathode.

Pt-based intermetallic compounds (IMCs) are considered as a class of promising fuel cell electrocatalysts, owing to their outstanding intrinsic activity and durability. However, the synthesis of uniformly dispersed IMCs with small sizes presents a formidable challenge during the essential high-temperature annealing process. Herein, a facile and generally applicable VOx matrix confinement strategy is demonstrated for the controllable synthesis of ordered L10-PtM (M = Fe, Co, and Mn) nanoparticles, which not only enhances the dispersion of intermetallic nanocrystals, even at high loading (40 wt%), but also simplifies the oxide removal and acid-washing procedures. Taking intermetallic PtCo as an example, the as-prepared catalyst displays a high-performance oxygen reduction activity (mass activity of 1.52 A mgPt -1) and excellent stability in the membrane electrode assemblies (MEAs) (the ECSA has just 7% decay after durability test). This strategy provides an economical and scalable route for the controlled synthesis of Pt-based intermetallic catalysts, which can pave a way for the commercialization of fuel cell technologies.

Proteomics analysis of enzyme systems and pathway changes during the moromi fermentation of soy sauce mash.

BACKGROUND: During the brewing of soy sauce, the conversion of multiple substances is driven by various microorganisms and their secreted enzyme systems. Soy sauce mash is an important source of enzyme systems during moromi fermentation, but the changes of enzyme systems in soy sauce mash during moromi fermentation are poorly understood. In order to explore the predominant enzyme systems existing during moromi fermentation and to explain the characteristics of the enzyme system changes, an enzymatic activities assay and 4D-label-free proteomics analysis were conducted on soy sauce mash at different stages of fermentation. RESULTS: The activities of hydrolytic enzymes in soy sauce mash decreased continuously throughout the fermentation process, while most of the characteristic physicochemical substances in soy sauce mash supernatant had already accumulated at the early stage of fermentation. Four hydrolytic enzymes were found to be positively correlated with important physicochemical indexes by principal component analysis and Pearson correlation analysis. The proteomics analysis revealed three highly upregulated enzymes and two enzymes that were present in important metabolic pathways throughout the fermentation process. Furthermore, it was found that Aspergillus oryzae was able to accumulate various nutrients in the soy sauce mash by downregulating most of its metabolic pathways. CONCLUSION: Enzymes present with excellent properties during the moromi fermentation period could be obtained from these results. Meanwhile, the characterization of the metabolic pathways of microorganisms during the moromi fermentation period was revealed. The results provide a basis for more scientific and purposeful improvement of moromi fermentation in the future. © 2024 Society of Chemical Industry.

Causes of recurrence of paediatric inguinal hernia after single-port laparoscopic closure.

PURPOSE: This paper explores the causes of paediatric inguinal hernia (PIH) recurrence after single-port laparoscopic percutaneous extraperitoneal closure (SPLPEC). METHOD: From January 2015 to December 2020, the clinical data of 3480 children with PIHs who underwent SPLPEC were retrospectively reviewed, including 644 children who underwent SPLPEC with a homemade single-hook hernia needle from January 2015 to December 2016 and 2836 children who underwent the SPLPEC with a double-hook hernia needle and hydrodissection from January 2017 to December 2020. There were 39 recurrences (including communicating hydrocele) during the 2-5 years of follow-up. The findings of redo-laparoscopy were recorded and correlated with the revised video of the first operation to analyse the causes of recurrence. RESULT: Thirty-three males and 6 females experienced recurrence, and 8 patients had a unilateral communicating hydrocele. The median time to recurrence was 7.1 months (0-38). There were 20 cases (3.11%) in the single-hook group and 19 cases (0.67%) in the double-hook group. Based on laparoscopic findings, recurrence most probably resulted from multiple factors, including uneven tension of the ligation (10 cases), missing part of the peritoneum (14 cases), loose ligation (8 cases), broken knot (5 cases), and knot reaction (2 cases). All children who underwent repeat SPLPEC were cured by double ligations or reinforcement with medial umbilical ligament. CONCLUSION: The main cause of recurrence is improper ligation. Tension-free and complete PIH ligation are critical to the success of surgery, which requires avoiding the peritoneum skip area and the subcutaneous and muscular tissues. Redo-laparoscopic surgery was suitable for the treatment of recurrent inguinal hernia (RIH). For giant hernias, direct ligation of the internal ring incorporating the medial umbilical ligament (DIRIM) may be needed.

High hydrostatic pressure participates in atrial fibrosis through the p300/p53/Smad3 pathway.

As an independent risk factor of atrial fibrillation (AF), hypertension (HTN) can induce atrial fibrosis through cyclic stretch and hydrostatic pressure. The mechanism by which high hydrostatic pressure promotes atrial fibrosis is unclear yet. p300 and p53/Smad3 play important roles in the process of atrial fibrosis. This study investigated whether high hydrostatic pressure promotes atrial fibrosis by activating the p300/p53/Smad3 pathway. Biochemical experiments were used to study the expression of p300/p53/Smad3 pathway in left atrial appendage (LAA) tissues of patients with sinus rhythm (SR), AF, AF + HTN, and C57/BL6 mice, hypertensive C57/BL6 mice and atrial fibroblasts of mice. To investigate the roles of p300 and p53 in the process of atrial fibrosis, p300 and p53 in mice atrial fibroblasts were knocked in or knocked down, respectively. The expression of p300/p53/Smad3 and fibrotic factors was higher in patients with AF and AF + HTN than those with SR only. The expressions of p300/p53/Smad3 and fibrotic factors increased in hypertensive mice. Curcumin (Cur) and knocking down of p300 reversed the expressions of these factors. 40 mmHg hydrostatic pressure/overexpression of p300 upregulated the expressions of p300/p53/Smad3 and fibrotic factors in mice LAA fibroblasts. While Cur or knocking down p300 reversed these changes. Knocking down/overexpression of p53, the expressions of p53/Smad3 and fibrotic factors also decreased/increased, correspondingly. High hydrostatic pressure promotes atrial fibrosis by activating the p300/p53/Smad3 pathway, which further increases the susceptibility to AF.

First Report of Leaf Spots Caused by Pestalotiopsis nanjingensis on Photinia × fraseri in China.

Photinia × fraseri Dress, belonging to the Rosaceae family, is widely cultivated as an ornamental plant in China. In July 2022, the leaf spot symptoms were observed on over thirty P. × fraseri plants in an approximately 2-hectare park in Xinjian District, Nanchang City, Jiangxi Province, China (28°43'02″ N, 115°44'01″ E), with a disease incidences of roughly 10% . At first, small, grayish-white lesions appeared on the leaf edges, later expanding into 2 to 10 mm circular or irregular spots. These spots turned grayish-white to brown, with dark brown margins. Eventually, some lesions' centers dried and died. For fungal isolation, ten symptomatic leaves were randomly collected. The edges between the diseased and healthy tissues were cut into small pieces (4 × 4 mm). These pieces were then surface-sterilized by dipping in 70% ethanol for 30 s and 1% NaClO for 30 s. Subsequently, they were rinsed three times with sterile distilled water. Leaf pieces were then transferred to potato dextrose agar (PDA) medium and incubated at 25 °C for 3-4 days. Eight isolates with similar colony morphology were collected from diseased leaves. Colonies of this fungus on PDA were nearly round, white, and had sparse aerial mycelium on the surface with black, gregarious conidiomata. The conidia were nearly cylindrical, smooth, hyaline, and 4-septate, measuring 16.7 to 24.3 × 4.2 to 6.6 µm (mean 20.9 × 5.3 µm, n=50). The three middle cells were smooth, doliiform, and brown, with concolorous septa that were darker than the rest of the cell. They measured 11.8 to 17.0 µm long (mean 14.1 µm, n=50). The basal and apical cells were triangular and transparent. The basal cells had a mean length of 4.7 µm and were equipped with a basal appendage, while the apical cells had two appendages with a mean length of 17.7 µm(n=50). The characteristics of these isolates match those of Pestalotiopsis species (Maharachchikumbura et al. 2014). To identify them accurately, three representative isolates, namely JFRL 03-161, JFRL 03-162, and JFRL 03-226, were selected for further analysis. The internal transcriptional spacer (ITS) region, ß-tubulin (TUB2) and translation elongation factor 1-alpha (TEF1-α) gene were amplified and sequenced using primers ITS1/ITS4 (White et al. 1990), BT2a/BT2b (Glass and Donaldson 1995), and EF1-526F/EF1-1567R (Maharachchikumbura et al. 2012), respectively. All sequences (ITS: OR342044-OR342046, TUB2: OR343299-OR343301, and TEF1-α: OR343302-OR343304) were deposited in GenBank. A BLASTn homology search revealed 99-100% identity to Pestalotiopsis nanjingensis CSUFTCC16 (ex-type). The sequences included ITS (OK493602, 486/486 nucleotides), TUB2 (OK562377, 438/439 nucleotides), and TEF1-α (OK507972, 478/478 nucleotides). The maximum likelihood analyses were performed for the combined ITS, TUB2 and TEF1-α data sets using IQtree web server (Trifinopoulos et al. 2016). The resulting phylogenetic tree demonstrated a strong association: the three isolates clustered tightly with P. nanjingensis forming a clade with robust 99% bootstrap support. This clustering, consistent with both morphological and molecular characteristics, confirmed the identity of the fungus as P. nanjingensis. To evaluate its pathogenicity, we obtained 3-year-old P. × fraseri 'Red Robin' plants, which were purchased then potted in a controlled climate chamber. We surface sterilized six healthy leaves of P. × fraseri with 70% ethanol and created wounds using a sterile needle. Subsequently, we inoculated a 50 µL conidial suspension (1 × 106 conidia/mL) of the isolate JFRL 03-161 on these wounded leaves. In parallel, another six leaves from P. × fraseri were inoculated with sterile distilled water, serving as the control group. All potted plants were incubated under conditions of 26 °C and 80% humidity. After seven days, all leaves inoculated with isolate JFRL 03-161 displayed symptoms similar to those observed in the field, whereas the control leaves remained unaffected. To fulfill Koch's postulates, we re-isolated P. nanjingensis plants from the symptomatic leaves and identified it based on morphological and molecular characteristics. It has been reported that two species of Pestalotiopsis, namely P. microspora and P. trachicarpicola can caused damage to the leaves of P. × fraseri in China (Xu et al. 2022; Zhu et al. 2021). However, to our best knowledge, this is the first report on leaf spot caused by P. nanjingensis on P. × fraseri in China. Therefore, it is necessary to pay more attention to the leaf spot disease of P. × fraseri caused by Pestalotiopsis species and develop appropriate control strategies.

Exploring key genes associated with neutrophil function and neutrophil extracellular traps in heart failure: a comprehensive analysis of single-cell and bulk sequencing data.

Background: Heart failure (HF) is a complex and heterogeneous manifestation of multiple cardiovascular diseases that usually occurs in the advanced stages of disease progression. The role of neutrophil extracellular traps (NETs) in the pathogenesis of HF remains to be explored. Methods: Bioinformatics analysis was employed to investigate general and single-cell transcriptome sequencing data downloaded from the GEO datasets. Differentially expressed genes (DEGs) associated with NETs in HF patients and healthy controls were identified using transcriptome sequencing datasets and were subsequently subjected to functional enrichment analysis. To identify potential diagnostic biomarkers, the random forest algorithm (RF) and the least absolute shrinkage and selection operator (LASSO) were applied, followed by the construction of receiver operating characteristic (ROC) curves to assess accuracy. Additionally, single-cell transcriptome sequencing data analysis identified key immune cell subpopulations in TAC (transverse aortic constriction) mice potentially involved in NETs regulation. Cell-cell communication analysis and trajectory analysis was then performed on these key cell subpopulations. Results: We identified thirteen differentially expressed genes (DEGs) associated with NET through differential analysis of transcriptome sequencing data from HF (heart failure) samples. Utilizing the Random Forest and Lasso algorithms, along with experimental validation, we successfully pinpointed four diagnostic markers (CXCR2, FCGR3B, VNN3, and FPR2) capable of predicting HF risk. Furthermore, our analysis of intercellular communication, leveraging single-cell sequencing data, highlighted macrophages and T cells as the immune cell subpopulations with the closest interactions with neutrophils. Pseudo-trajectory analysis sheds light on the differentiation states of distinct neutrophil subpopulations. Conclusion: In this study, we conducted an in-depth investigation into the functions of neutrophil subpopulations that infiltrate cardiac tissue in TAC mice. Additionally, we identified four biomarkers (CXCR2, FCGR3B, VNN3, and FPR2) associated with NETs in HF. Our findings enhance the understanding of immunology in HF.

Anomaly Detection via Progressive Reconstruction and Hierarchical Feature Fusion.

The main challenges in reconstruction-based anomaly detection include the breakdown of the generalization gap due to improved fitting capabilities and the overfitting problem arising from simulated defects. To overcome this, we propose a new method called PRFF-AD, which utilizes progressive reconstruction and hierarchical feature fusion. It consists of a reconstructive sub-network and a discriminative sub-network. The former achieves anomaly-free reconstruction while maintaining nominal patterns, and the latter locates defects based on pre- and post-reconstruction information. Given defective samples, we find that adopting a progressive reconstruction approach leads to higher-quality reconstructions without compromising the assumption of a generalization gap. Meanwhile, to alleviate the network's overfitting of synthetic defects and address the issue of reconstruction errors, we fuse hierarchical features as guidance for discriminating defects. Moreover, with the help of an attention mechanism, the network achieves higher classification and localization accuracy. In addition, we construct a large dataset for packaging chips, named GTanoIC, with 1750 real non-defective samples and 470 real defective samples, and we provide their pixel-level annotations. Evaluation results demonstrate that our method outperforms other reconstruction-based methods on two challenging datasets: MVTec AD and GTanoIC.

A Hybrid Strategy for Profile Measurement of Micro Gear Teeth.

A hybrid strategy is proposed to meet the challenge of obtaining the profile of micro gear teeth with a small modulus. Firstly, the contact probe segmentally obtained the falling flank profiles with an auxiliary lifting mechanism to avoid interference when it climbs on the rising slope. Then, the noncontact chromatic confocal displacement sensor efficiently acquired the gear peak positions to carry out the two-point error separation with the gear peak positions from the probe measurement. Finally, actual experiments were carried out to obtain the profile of a harmonic drive flexspline. Compared with the commercial ultraprecise profiler, the proposed method provides measurement results with a deviation of less than 20 µm. In conclusion, the hybrid strategy is feasible and accurate for drawing the micro gear teeth profile without any collision between the measuring probes and the measured workpiece.

First Report of Anthracnose Caused by Collectotrichum higginsianum on Rumex crispus in China.

Rumex crispus L. is a perennial herb with medicinal properties derived from its roots and whole plant (Bhandari et al. 2022). In December 2022, symptoms of anthracnose were observed in approximately 40% of naturally occurring R. crispus plants in Longquan Reservior, Nanchang city (115°53' N, 28°43' E), Jiangxi Province, China. Initially, red lesions appeared randomly on various parts of the leaf blade, which gradually became dry and brown at the center, eventually leading to leaf death. To isolate the fungal pathogen responsible, ten symptomatic leaves were randomly collected and their lesions were cut into small pieces (4 × 4 mm). The leaf fragments were surface-sterilized in 70% ethanol for 45 s and then in 1% NaClO for 45 s. The leaf pieces were rinsed three times with sterile distilled water. The surface-sterilized leaf pieces were then placed onto potato dextrose agar (PDA) and incubated at 28 ℃, dark condition for 3 days. Twelve isolates were obtained, characterized by a milky white and uneven growth pattern with a white root-like structure branching out at the edge, along with scattered black deposits on the bottom of the plate. Conidiogenous cells cylindrical, smooth-walled, hyaline, 9.3-23.2 × 3.6-4.2 µm. Conidia elliptical, aseptate, smooth-walled, with one end blunt and the other truncate, ranging in size from 10.4 to 22.3 (mean 16.7) µm in length and 3.2 to 5.0 (mean 4.1) µm in width (n = 50), which are consistent with the characteristics of the members of Colletotrichum destructivum species complex (Damm et al. 2014). To accurately identify the strain, three representative isolates, namely JFRL 03-930, JFRL 03-931, and JFRL 03-935, were selected for further identification. The internal transcribed spacer (ITS) region, actin (ACT), chitin synthase (CHS), partial sequences of the glyceraldehyde-3-phosphate dehydrogenase (GADPH), histone3 (HIS3), and beta-tubulin (TUB2) genes were amplified and sequenced using specific primer pairs, including ITS5/ITS4, ACT-512F/ACT-783R, CHS-79F/CHS-354R, GDF1/GDR1, GYLH3F/CYLH3R, and T1/Bt2b (Damm et al. 2014). All sequences were deposited in GenBank with accession numbers OQ560476-OQ560478 (ITS), OQ576154-OQ576156 (ACT), OQ576157-OQ576159 (CHS), OQ576160-OQ576162 (HIS3), OQ576163-OQ576165 (GADPH), and OQ576166-OQ576168 (TUB2). A maximum likelihood phylogenetic tree was constructed using IQtree v1.5.6 based on the combined ITS, ACT, CHS, GAPDH, HIS3 and TUB2 data set (Nguyen et al. 2015), The phylogenetic tree showed that the three isolates clustered with C. higginsianum in a clade with 91% bootstrap support. Based on morphology and molecular characters, the isolates were identified as C. higginsianum of the C. destructivum species complex. To confirm the pathogenicity, One-year-old R. crispus were collected from the wild and potted in an climate chamber. Six healthy leaves of R. crispus were surface sterilized with 70% ethanol and wounded by sterile needle, and a 20-µl conidial suspension (3×105 conidia/ml) of the isolate JFRL 03-931 was inoculated on the wound. Another set of six leaves of R. crispus was inoculated with distilled water as controls. The potted plants were incubated under conditions of 25 ℃ and 80% humidity. After 10 days, reddish brown spots were observed on all inoculated leaves, while the control leaves remained asymptomatic. To fulfill Koch's postulates, the pathogen was re-isolated from the inoculated leaves and confirmed as C. higginsianum by morphological and molecular analysis. It has been reported that C. higginsianum caused anthracnose disease on several cruciferous vegetables, Boehmeria nivea and Rumex acetosa in China (Damm et al. 2014; Wang et al. 2011; Patel et al. 2014; Zhang et al. 2018). But to our knowledge, this is the first report of C. higginsianum casued anthracnose on Rumex crispus in China. Therefore, we should pay more attention to this pathogen and develop appropriate control strategies.

The establishment and validation of a prediction model for traumatic intracranial injury patients: a reliable nomogram.

Objective: Traumatic brain injury (TBI) leads to death and disability. This study developed an effective prognostic nomogram for assessing the risk factors for TBI mortality. Method: Data were extracted from an online database called "Multiparameter Intelligent Monitoring in Intensive Care IV" (MIMIC IV). The ICD code obtained data from 2,551 TBI persons (first ICU stay, >18 years old) from this database. R divided samples into 7:3 training and testing cohorts. The univariate analysis determined whether the two cohorts differed statistically in baseline data. This research used forward stepwise logistic regression after independent prognostic factors for these TBI patients. The optimal variables were selected for the model by the optimal subset method. The optimal feature subsets in pattern recognition improved the model prediction, and the minimum BIC forest of the high-dimensional mixed graph model achieved a better prediction effect. A nomogram-labeled TBI-IHM model containing these risk factors was made by nomology in State software. Least Squares OLS was used to build linear models, and then the Receiver Operating Characteristic (ROC) curve was plotted. The TBI-IHM nomogram model's validity was determined by receiver operating characteristic curves (AUCs), correction curve, Hosmer-Lemeshow test, integrated discrimination improvement (IDI), net reclassification improvement (NRI), and decision-curve analysis (DCA). Result: The eight features with a minimal BIC model were mannitol use, mechanical ventilation, vasopressor use, international normalized ratio, urea nitrogen, respiratory rate, and cerebrovascular disease. The proposed nomogram (TBI-IHM model) was the best mortality prediction model, with better discrimination and superior model fitting for severely ill TBI patients staying in ICU. The model's receiver operating characteristic curve (ROC) was the best compared to the seven other models. It might be clinically helpful for doctors to make clinical decisions. Conclusion: The proposed nomogram (TBI-IHM model) has significant potential as a clinical utility in predicting mortality in TBI patients.

First Report of Leaf Blotch Caused by Phyllosticta capitalensis on Daphne odora in China.

Daphne odora Thunb. an evergreen shrub with scented flowers, is used for ornamental purposes but it also has medicinal benefits (Otsuki, et al. 2020). In August 2021, leaf blotch symptoms were observed on roughly 20% of leaves of D. odora var. marginata plants in Fenghuangzhou Citizen Park, Nanchang city (28°41'48.12″ N, 115°52'40.47″ E), Jiangxi Province, China. Brown lesions first appeared on the edges of leaves, which eventually dried and died (Fig. 1A). For fungal isolation, 12 symptomatic leaves were randomly collected, the edges between diseased area and healthy area were cut into small pieces (4×4 mm), surface-sterilized by dipping in 70% ethanol for 10 s and 1% sodium hypochlorite for 30 s, and then rinsed three times with sterile distilled water. Leaf pieces were then plated on potato dextrose agar (PDA) and incubated at 28 ℃ for 3-4 days. A total of 10 isolates were recovered from the diseased leaves. The pure colonies of all fungal isolates had similar characteristics, and three isolates were randomly selected (JFRL 03-249, JFRL 03-250 and JFRL 03-251) for further study. Colonies of this fungus were gray and uneven, with a granular surface, and irregular white edges, finally turning black on PDA (Fig. 1B, C). Pycnidia were black, globose and 54-222 µm in diameter (Fig. 1D). Conidia were hyaline, single-celled, and nearly elliptical, which ranged from 7 to 13 × 5 to 7 µm (n=40) (Fig. 1E). These morphological characteristics were consistent with those described for the fungus Phyllosticta spp. (Wikee et al. 2013a). To confirm the fungal identity, the internal transcribed spacer (ITS) region, actin (ACT), translation elongation factor 1-alpha (TEF1-a), glyceradehyde-3-phosphate dehydrogenase (GPD) and RNA polymerase II second largest subunit (RPB2) genes were amplified using primers ITS5/ITS4, ACT-512F/ACT-783R, EF-728F/EF2, Gpd1-LM/Gpd2-LM and RPB2-5F2 /fRPB2-7cR, respectively (Wikee et al. 2013b). The sequences of the selected isolates were 100% identical. Hence, sequences of one representative isolate JFRL 03-250 were deposited in GenBank (OP854673, ITS; OP867004, ACT; OP867007, TEF1-a; OP867010, GPD; and OQ559562, RPB2). BLAST search analysis in GenBank showed 100% similarity with those of P. capitalensis (GenBank accession nos. ITS, MH183391; ACT, KY855662; TEF1-a, KM816635; GPD, OM640050 and RPB2, KY855820). From a phylogenetic perspective, a maximum likelihood phylogenetic tree was constructed by using IQtree V1.5.6 based on multiple sequences (ITS, ACT, TEF1-a, GPD and RPB2) (Nguyen et al. 2015), and the cluster analysis resulted the representative isolate JFRL 03-250 within a clade comprising Phyllosticta capitalensis (Fig. 2). Based on morphological and molecular characters, the isolate was identified as P. capitalensis. To confirm pathogenicity and fulfill Koch's postulates, 6 healthy potted plants were inoculated with 1× 106 conidia/ml suspension of isolate JFRL 03-250 by spraying on the leaves, whereas 6 plants were sprayed with sterile distilled water to serve as control. All potted plants were incubated at 28°C, 80% relative humidity and 12-h light/12-h dark alternating conditions in a climate cabinet. After 15 days, similar symptoms were observed in the inoculated leaves as in the field (Fig. 1F), whereas control leaves remained asymptomatic (Fig. 1G) and P. capitalensis was successfully re-isolated from the symptomatic leaves. Previously, P. capitalensis has been reported to cause brown leaf spot disease of various host plants around the world (Wikee et al. 2013b). However, to our knowledge, this is the first report of brown leaf spot caused by P. capitalensis on D. odora in China.

Contrast-enhanced harmonic endoscopic ultrasound (CH-EUS) MASTER: A novel deep learning-based system in pancreatic mass diagnosis.

BACKGROUND AND AIMS: Distinguishing pancreatic cancer from nonneoplastic masses is critical and remains a clinical challenge. The study aims to construct a deep learning-based artificial intelligence system to facilitate pancreatic mass diagnosis, and to guide EUS-guided fine-needle aspiration (EUS-FNA) in real time. METHODS: This is a prospective study. The CH-EUS MASTER system is composed of Model 1 (real-time capture and segmentation) and Model 2 (benign and malignant identification). It was developed using deep convolutional neural networks and Random Forest algorithm. Patients with pancreatic masses undergoing CH-EUS examinations followed by EUS-FNA were recruited. All patients underwent CH-EUS and were diagnosed both by endoscopists and CH-EUS MASTER. After diagnosis, they were randomly assigned to undergo EUS-FNA with or without CH-EUS MASTER guidance. RESULTS: Compared with manual labeling by experts, the average overlap rate of Model 1 was 0.708. In the independent CH-EUS video testing set, Model 2 generated an accuracy of 88.9% in identifying malignant tumors. In clinical trial, the accuracy, sensitivity, and specificity for diagnosing pancreatic masses by CH-EUS MASTER were significantly better than that of endoscopists. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value were respectively 93.8%, 90.9%, 100%, 100%, and 83.3% by CH-EUS MASTER guided EUS-FNA, and were not significantly different compared to the control group. CH-EUS MASTER-guided EUS-FNA significantly improved the first-pass diagnostic yield. CONCLUSION: CH-EUS MASTER is a promising artificial intelligence system diagnosing malignant and benign pancreatic masses and may guide FNA in real time. TRIAL REGISTRATION NUMBER: NCT04607720.

Realization of thousand-second improved confinement plasma with Super I-mode in Tokamak EAST.

Mastering nuclear fusion, which is an abundant, safe, and environmentally competitive energy, is a great challenge for humanity. Tokamak represents one of the most promising paths toward controlled fusion. Obtaining a high-performance, steady-state, and long-pulse plasma regime remains a critical issue. Recently, a big breakthrough in steady-state operation was made on the Experimental Advanced Superconducting Tokamak (EAST). A steady-state plasma with a world-record pulse length of 1056 s was obtained, where the density and the divertor peak heat flux were well controlled, with no core impurity accumulation, and a new high-confinement and self-organizing regime (Super I-mode = I-mode + e-ITB) was discovered and demonstrated. These achievements contribute to the integration of fusion plasma technology and physics, which is essential to operate next-step devices.

Molecular characterization and phylogenetic analysis of porcine epidemic diarrhea virus strains circulating in China from 2020 to 2021.

BACKGROUND: Porcine epidemic diarrhea virus (PEDV), an enteric coronavirus, has become the major causative agent of acute gastroenteritis in piglets since 2010 in China. RESULTS: In the current study, 91 complete spike (S) gene sequences were obtained from PEDV positive samples collected from 17 provinces in China from March 2020 to March 2021. A phylogenetic analysis showed that 92.3% (84 out of 91) of the identified strains belonged to GII subtype, while 7.7% (7 out of 91) were categorized as S-INDEL like strains and grouped within GI-c clade. Based on a recombination analysis, six of S-INDEL like strains were recombinant strains originated from S-INDEL strain FR/001/2014 and virulent strain AJ1102. In addition, PEDV variant strains (CH/GDMM/202012, CH/GXDX/202010 et al) carrying novel insertions (360QGRKS364 and 1278VDVF1281) in the S protein were observed. Furthermore, the deduced amino acid sequences for the S protein showed that multiple amino acid substitutions in the antigenic epitopes in comparison with the vaccine strains. CONCLUSIONS: In conclusion, these data provide novel molecular evidence on the epidemiology and molecular diversity of PEDV in 2020-2021. This information may help design a strategy for controlling and preventing the prevalence of PEDV variant strains in China.

Construction of a Novel Clinical Stage-Related Gene Signature for Predicting Outcome and Immune Response in Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) with high heterogeneity is one of the most frequent malignant tumors. However, there were no studies to create a clinical stage-related gene signature for HCC patients. Differentially expressed genes (DEGs) associated with clinical stage of HCC were analyzed based on TCGA datasets. Functional enrichment analysis was carried out by the use of stage-related DEGs. Then, the least absolute shrinkage and selection operator (LASSO) regression and univariate Cox regression were performed to reduce the overfit and the number of genes for further analysis. Next, survival and ROC assays were carried out to demonstrate the model using TCGA. Functional analysis and immune microenvironment analysis related to stage-related DEGs were performed. Reverse transcriptase polymerase chain reaction (RT-PCR) and Cell Counting Kit-8 (CCK-8) assays were applied to examine the expression and function of PNCK in HCC. In this research, there were 21 DEGs between HCC specimens with stage (I-II) and HCC specimens with stage (III-IV), including 20 increased genes and 1 decreased genes. A novel seven-gene signature (including PITX2, PNCK, GLIS1, SCNN1G, MMP1, ZNF488, and SHISA9) was created for the prediction of outcomes of HCC patients. The ROC curves confirmed the prognostic value of the new model. Cox assays demonstrated that the seven-gene signature can independently forecast overall survival. The immune analysis revealed that patients with low risk score exhibited more immune activities. Moreover, we confirmed that PNCK expressions were distinctly increased in HCC, and its silence suppressed the proliferation of HCC cells. Overall, our research offered a robust and reliable gene signature which displayed an important value in the prediction of overall survival of HCC patients and might deliver more effective personalized therapies.

Secondary Structural Ensemble Learning Cluster for Estimating the State of Health of Lithium-Ion Batteries.

Accurate online state-of-health (SOH) estimation can improve the operational efficiency of lithium-ion batteries (LIBs) and ensure the safety of energy storage systems. However, the complex electrochemical properties of LIBs make accurate SOH estimation challenging. To overcome this challenge, we propose a secondary structural ensemble learning (SSEL) cluster. The proposed SSEL cluster includes multiple SSEL frameworks established separately within different SOH data intervals, allowing the identification of stable feature-SOH relationships. The adaptability and basic accuracy of each SSEL framework are guaranteed by various base learners and the corresponding stacking model and bagging model fusion. Each framework remains unique and specialized owing to the adoption of back propagation neural networks, which adjust learner weights based on the feature-SOH relationship at each interval. The effectiveness of the SSEL cluster was verified using the Oxford Battery Degradation Dataset 1. Comparisons showed that the proposed estimation method performs better than traditional machine learning methods.

Fully endoscopic microvascular decompression for hemifacial spasm.

With the rapid development of endoscopic technology, fully endoscopic microvascular decompression (MVD) has been widely used in the treatment of hemifacial spasm (HFS), and has achieved good effect. The present study reviewed 5 cases of HFS treated by fully endoscopic MVD. After fully endoscopic MVD, the symptom of facial involuntary twitching was relieved in each of the 5 patients with an effective rate of 100%. Among the cases, 4 had no postoperative complications, such as cranial nerve dysfunction, and cerebellar or brainstem injury, while 1 patient had postoperative aseptic meningitis and recovered after follow-up treatment. In these 5 cases of MVD, endoscopy played an important role in identifying the offending blood vessels, which is of great significance to improve the surgical effect and safety. Furthermore, the postoperative effects showed that endoscopy has certain potential and advantages in MVD. Therefore, fully endoscopic MVD is also a feasible method for the treatment of HFS.