Quantified low voltage electrostatic field: The effects of intensity on cherry tomato preservation and mechanism.

Low voltage electrostatic field (LVEF), a novel non-thermal processing technology, shows promise for food preservation. However, the absence of clear definition and quantification of the core concept "low voltage" obstructs the effective application of LVEF. This study assessed the efficiency of various LVEF intensities (100, 200, 300 V) on cherry tomato preservation, revealing significant differences in preservation efficiency. Compared to the control, samples treated with different intensities showed varied reductions in weight loss (6.26-25.45 %), firmness changes (5.17-28.91 %), and decay incidence (47.91-70.89 %). Quantitative analysis elucidated that the differential preservation efficiency may arise from a dose-response relationship between electric field strength and hydrogen peroxide (H2O2) content， identifying an optimal H2O2 content range of 21.18-27.01 mmol kg-1 for the effective preservation of cherry tomatoes under LVEF. These findings highlight the importance of precise LVEF intensity control for effective food preservation and offer insights for developing optimal LVEF treatment intensities for diverse produce.

Explorative Binary Gray Wolf Optimizer with Quadratic Interpolation for Feature Selection.

The high dimensionality of large datasets can severely impact the data mining process. Therefore, feature selection becomes an essential preprocessing stage, aimed at reducing the dimensionality of the dataset by selecting the most informative features while improving classification accuracy. This paper proposes a novel binary Gray Wolf Optimization algorithm to address the feature selection problem in classification tasks. Firstly, the historical optimal position of the search agent helps explore more promising areas. Therefore, by linearly combining the best positions of the search agents, the algorithm's exploration capability is increased, thus enhancing its global development ability. Secondly, the novel quadratic interpolation technique, which integrates population diversity with local exploitation, helps improve both the diversity of the population and the convergence accuracy. Thirdly, chaotic perturbations (small random fluctuations) applied to the convergence factor during the exploration phase further help avoid premature convergence and promote exploration of the search space. Finally, a novel transfer function processes feature information differently at various stages, enabling the algorithm to search and optimize effectively in the binary space, thereby selecting the optimal feature subset. The proposed method employs a k-nearest neighbor classifier and evaluates performance through 10-fold cross-validation across 32 datasets. Experimental results, compared with other advanced algorithms, demonstrate the effectiveness of the proposed algorithm.

Reevaluation of prognostic and severity indicators for COVID-19 patients in the emergency department.

AIMS: This study aimed to re-evaluate whether the scoring systems, neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) were effective in predicting prognosis and severity of COVID-19 patients in the emergency department (ED). METHODS: COVID-19 patients enrolled in this retrospective study divided into the death (DEA) and survival (SUR) groups, the severe/critical (SC) and non-severe/critical (non-SC) groups. The Acute Physiology and Chronic Health Evaluation (APACHE) II, Sequential Organ Failure Assessment (SOFA), National Early Warning Score (NEWS) and CCEDRRN COVID-19 Mortality Score were calculated. The neutrophil, lymphocyte and platelet counts were extracted from the first routine blood examination, and NLR and PLR were calculated accordingly. Receiver Operating Characteristic (ROC) curve and logistic regression were performed. RESULTS: All the scoring systems, as well as NLR and PLR, significantly increased in both the DEA and SC groups. The ROC curve showed that the CCEDRRN COVID-19 Mortality Score had the highest predictive value for mortality and severity (AUC 0.779, 0.850, respectively), which outperformed the APACHE II, SOFA and NEWS. NLR presented better predictive ability for severity (AUC 0.741) than death (AUC 0.702). The APACHE II, NEWS and CCEDRRN COVID-19 Mortality Score were positively correlated with both prognosis and severity, whereas NLR only with severity. CONCLUSION: The NEWS and CCEDRRN COVID-19 Mortality Score were reconfirmed for early and rapid predicting the poor prognosis and severity of COVID-19 patients in ED, especially the CCEDRRN COVID-19 Mortality Score with the highest discrimination capacity, and NLR was more appropriate for predicting the severity.

Measured and predicted floc size of cohesive sediment in the presence of microalgae.

In aquatic environments, biological factors significantly influence the flocculation process of cohesive sediments, thereby impacting sediment transport dynamics. Due to its complexity, the mechanism of biological flocculation still remains unknown. Here, we conducted laboratory experiments to investigate how living microalgae (Skeletonema costatum) affects the flocculation of mineral clay under various shear rates and suspended sediment concentrations (SSC) in saline water. The microalgae (Skeletonema costatum) and SSC both have positive influences on the increase in floc size. However, the shear rate (G) shows dual effect. Specifically, there exists a critical shear rate, G*, at which the floc size increases with G when G≤G* and decreases with G when G>G*. More importantly, G*is affected by SSC and exhibits no dependence on microalgae content. The microalgae (Skeletonema costatum) has a dominant effect on both floc shape and floc size of microalgae-mineral flocs compared to shear rate under the present experimental conditions (SSC: 700 mg/L, chlorophyll-a concentration: 0∼13.76 µg/L, shear rate: 10∼90 s-1). Additionally, the elongated-rod flocs are more easily formed in microalgae-mineral clay suspensions, whereas the plate-stacked flocs are more abundant in pure mineral clay suspensions. The promoting effect of microalgae is obvious under low shear rate conditions (G≤40 s-1), while at high shear rate (G>40 s-1), this effect is significantly attenuated, with a reduction by nearly half. Finally, a new bioflocculation model was proposed to predict the equilibrium median floc size for both conditions with and without microalgae. The model was well validated through comparisons with laboratory measurements.

Modified furosemide responsiveness index and biomarkers for AKI progression and prognosis: a prospective observational study.

BACKGROUND: Modified furosemide responsiveness index (mFRI) is a novel biomarker for assessing diuretic response and AKI progression in patients with early AKI. However, the comparative predictive performance of mFRI and novel renal biomarkers for adverse renal outcomes remains unclear. In a single-center prospective study, we aimed to evaluate the discriminatory abilities of mFRI and other novel renal biomarkers in predicting AKI progression and prognosis in patients with initial mild and moderate AKI (KDIGO stage 1 to 2). RESULTS: Patients with initial mild and moderate AKI within 48 h following cardiac surgery were included in this study. The mFRI, renal biomarkers (including serum or urinary neutrophil gelatinase-associated lipocalin [sNGAL or uNGAL], serum cystatin C, urinary N-acetyl-beta-D-glycosaminidase [uNAG], urinary albumin-to-creatinine ratio) and cytokines (TNF, IL-1ß, IL-2R, IL-6, IL-8, and IL-10) were measured at AKI diagnosis. The mFRI was calculated for each patient, which was defined as 2-hour urine output divided by furosemide dose and body weight. Of 1013 included patients, 154 (15.2%) experienced AKI progression, with 59 (5.8%) progressing to stage 3 and 33 (3.3%) meeting the composite outcome of hospital mortality or receipt of renal replacement therapy (RRT). The mFRI showed non-inferiority or potential superiority to renal biomarkers and cytokines in predicting AKI progression (area under the curve [AUC] 0.80, 95% confidence interval [CI] 0.77-0.82), progression to stage 3 (AUC 0.87, 95% CI 0.85-0.89), and composite outcome of death and receipt of RRT (AUC 0.85, 95% CI 0.82-0.87). Furthermore, the combination of a functional biomarker (mFRI) and a urinary injury biomarker (uNAG or uNGAL) resulted in a significant improvement in the prediction of adverse renal outcomes than either individual biomarker (all P < 0.05). Moreover, incorporating these panels into clinical model significantly enhanced its predictive capacity for adverse renal outcomes, as demonstrated by the C index, integrated discrimination improvement, and net reclassification improvement (all P < 0.05). CONCLUSIONS: As a rapid, cost-effective and easily accessible biomarker, mFRI, exhibited superior or comparable predictive capabilities for AKI progression and prognosis compared to renal biomarkers in cardiac surgical patients with mild to moderate AKI. TRIAL REGISTRATION: Clinicaltrials.gov, NCT04962412. Registered July 15, 2021, https://clinicaltrials.gov/ct2/show/NCT04962412?cond=NCT04962412&draw=2&rank=1 .

Optimizing the stability of NiFeOOH via oxyanion intercalation for water oxidation at large current densities.

In alkaline water splitting, transition metals (Ni, Fe) have received extensive attention, and NiFe-oxyhydroxide (NiFeOOH) is regarded as an exceptionally active electrocatalysts for oxygen evolution reaction (OER). However, maintaining the long-term stability of NiFeOOH at high current densities is challenging due to Fe segregation and catalyst degradation. Herein, this study proposes an approach to enhancing the stability of the Ni/Fe-O covalent bond by intercalating oxyanions (NO3-, PO43-, SO42-, and SeO42-) into the NiFeOOH substrate, improving its resistance to bond breakage. And the NiFeOOH-NO3- electrocatalyst was found to be optimal, achieving an overpotential of 311 mV and stable performance at 1 A cm-2 for several hundred hours. Consequently, NiFeOOH-NO3- exhibited a significantly improved OER stability, with a mere 3.33 % stability attenuation after 100 h, compared to 13.19 % for pristine NiFeOOH. Notably, the presence of NO3- in NiFeOOH effectively mitigates Fe segregation, leading to a fourfold enhancement in long-term stability relative to that of NiFeOOH without NO3- modification. Theoretical calculations show that the introduction of NO3- effectively shifts metal 3d band centers of NiFeOOH closer to the Fermi level. It is suggested that the oxyanions lead to increased strength of the Ni/Fe-O bonds, thereby inhibiting the dissolution of Fe and enhancing the stability of NiFeOOH phase. This research represents a significant advance in controlling Fe segregation to stabilize NiFe-based electrocatalysts for high-current-density water oxidation.

Bioorthogonal Monomycolate of Trehalose Disclosed the O-Mycoloylation of Mycoloyltransferases and Other Cell Envelope Proteins in C. glutamicum.

Protein mycoloylation is a recently identified unusual post-translational modification (PTM) exclusively observed in Mycobacteriales, an order of bacteria that includes several human pathogens. These bacteria possess a distinctive outer membrane, known as the mycomembrane, composed of very long-chain fatty acids called mycolic acids. It has been demonstrated that a few mycomembrane proteins undergo covalent modification with mycolic acids in the model organism Corynebacterium glutamicum through the action of mycoloyltransferase MytC. This PTM represents the first example of protein O-acylation in prokaryotes and also the first example of protein modification by mycolic acid. Many questions about the specificity of protein O-mycoloylation remain crucial for understanding its evolutionary significance in Mycobacteriales and its role in cell physiology. We have developed the first bioorthogonal mycolate donor featuring the natural mycolic acid pattern, enabling direct, unambiguous transfer of the lipid moiety to its acceptors and efficient metabolic labeling and enrichment of MytC protein substrates. Mass spectrometry analysis of the labeled proteins and comparative proteomic analysis of the cell envelope proteome between wild-type and ΔmytC strains identified an unbiased list of 21 proteins likely mycoloylated in the cell. The robustness of our approach is demonstrated by the successful biological validation of mycoloylation in 6 candidate proteins within wild-type cells, revealing the characteristic profile of proteins modified with natural mycolates. These findings provide interesting insights into the significance of this new lipidation pathway and pave the way for understanding their function, especially concerning the mycoloyltransferase family that includes the essential Antigen85 enzymes in Mycobacteria.

The Evolution of Dilatant Shear Bands in High-Pressure Die Casting for Al-Si Alloys.

Bands of interdendritic porosity and positive macrosegregation are commonly observed in pressure die castings, with previous studies demonstrating their close relation to dilatant shear bands in granular materials. Despite recent technological developments, the micromechanism governing dilatancy in the high-pressure die casting (HPDC) process for alloys between liquid and solid temperature regions is still not fully understood. To investigate the influence of fluid flow and the size of externally solidified crystals (ESCs) on the evolution of dilatant shear bands in HPDC, various filling velocities were trialled to produce HPDC samples of Al8SiMnMg alloys. This study demonstrates that crystal fragmentation is accompanied by a decrease in dilatational concentration, producing an indistinct shear band. Once crystal fragmentation stagnates, the enhanced deformation rate associated with a further increase in filling velocity (from 2.2 ms-1 to 4.6 ms-1) localizes dilatancy into a highly concentrated shear band. The optimal piston velocity is 3.6 ms-1, under which the average ESC size reaches the minimum, and the average yield stress and overall product of strength and elongation reach the maximum values of 144.6 MPa and 3.664 GPa%, respectively. By adopting the concept of force chain buckling in granular media, the evolution of dilatant shear bands in equiaxed solidifying alloys can be adequately explained based on further verification with DEM-type modeling in OpenFOAM. Three mechanisms for ESC-enhanced dilation are presented, elucidating previous reports relating the presence of ESCs to the subsequent shear band characteristics. By applying the physics of granular materials to equiaxed solidifying alloys, unique opportunities are presented for process optimization and microstructural modeling in HPDC.

MBCN: A novel reference database for Effcient Metagenomic analysis of human gut microbiome.

Metagenomic shotgun sequencing data can identify microbes and their proportions. But metagenomic shotgun data profiling results obtained from multiple projects using different reference databases are difficult to compare and apply meta-analysis. Our work aims to create a novel collection of human gut prokaryotic genomes, named Microbiome Collection Navigator (MBCN). 2379 human gut metagenomic samples are screened, and 16,785 metagenome-assembled genomes (MAGs) are assembled using a standardized pipeline. In addition, MAGs are combined with the representative genomes from public prokaryotic genomes collections to cluster, and pan-genomes for each cluster's genomes are constructed to build Kraken2 and Bracken databases. The databases built by MBCN are more comprehensive and accurate for profiling metagenomic reads comparing with other collections on simulated reads and virtual bio-projects. We profile 1082 human gut metagenomic samples with MBCN database and organize profiles and metadata on the web program. Meanwhile, using MBCN as a reference database, we also develop a unified, standardized, and systematic metagenomic analysis pipeline and platform, named MicrobiotaCN (http://www.microbiota.cn) and common statistical and visualization tools for microbiome research are integrated into the web program. Taken together, MBCN and MicrobiotaCN can be a valuable resource and a powerful tool that allows researchers to perform metagenomic analysis by a unified pipeline efficiently.

Virtual birefringence imaging and histological staining of amyloid deposits in label-free tissue using autofluorescence microscopy and deep learning.

Systemic amyloidosis involves the deposition of misfolded proteins in organs/tissues, leading to progressive organ dysfunction and failure. Congo red is the gold-standard chemical stain for visualizing amyloid deposits in tissue, showing birefringence under polarization microscopy. However, Congo red staining is tedious and costly to perform, and prone to false diagnoses due to variations in amyloid amount, staining quality and manual examination of tissue under a polarization microscope. We report virtual birefringence imaging and virtual Congo red staining of label-free human tissue to show that a single neural network can transform autofluorescence images of label-free tissue into brightfield and polarized microscopy images, matching their histochemically stained versions. Blind testing with quantitative metrics and pathologist evaluations on cardiac tissue showed that our virtually stained polarization and brightfield images highlight amyloid patterns in a consistent manner, mitigating challenges due to variations in chemical staining quality and manual imaging processes in the clinical workflow.

Real-world effectiveness of adjuvant octreotide therapy in patients with pancreatic neuroendocrine tumors at high recurrence risk: A multicenter retrospective cohort study.

Adjuvant therapy for pancreatic neuroendocrine tumors (PanNETs) after radical resection lacks evidence-based data and remains controversial. This study aimed to validate whether long-acting octreotide is a potential candidate for adjuvant therapy in patients with G2 PanNETs at high recurrence risk by clustering real-world data. A retrospective review of patients with nonmetastatic grade 2 PanNETs who underwent radical resection at six research centers between 2008 and 2020 was conducted. Propensity score matching and inverse probability of treatment weight analysis were used to control confounding factors. Overall, 357 patients (octreotide group, n = 82; control group, n = 275) were analyzed. Kaplan-Meier survival analyses showed that the octreotide group had longer disease-free survival (DFS) compared with the control group (36 months: 93.3% vs. 79.0%, p = .0124; 60 months: 71% vs. 67.6%, p = .0596, respectively), as well as overall survival (OS) (60 months: 98% vs. 83.8%, p = .0117, respectively). Multivariate analyses indicated that octreotide long-acting repeatable (LAR) adjuvant therapy was associated with higher OS (p = .0270) at 60 months. Propensity score matching analysis showed that octreotide adjuvant therapy was associated with higher DFS (p = .0455) and OS (p = .0190) at 60 months. Similar results were obtained via inverse probability of treatment weight analysis. Subgroup analysis indicated that octreotide LAR was associated with a high DFS in patients with lymph node metastasis or Ki-67 <10% PanNETs. Adjuvant therapy with long-acting octreotide following radical resection of nonmetastatic G2 PanNETs may be associated with improved DFS and OS in a real-world setting.

Hepatic portal venous gas after ingesting glyphosate: A case report and literature review.

Background: Glyphosate is a widely used herbicide. Clinical presentations of glyphosate intoxication show variation, but hepatic portal venous gas(HPVG) caused by glyphosate poisoning is rarely reported. Herein, we report a rare case of ominous HPVG after ingesting glyphosate. HPVG, which used to be an ominous abdominal radiologic sign, is associated with numerous underlying abdominal pathologies, ranging from benign conditions that require no invasive treatment to potentially lethal diseases that necessitate prompt surgical intervention. Case summary: A young woman who ingested 100 mL glyphosate 6-h prior was admitted to the emergency intensive care unit. Before admission to our hospital, the patient was administered gastric lavage treatment with 10000 mL of normal saline in the local hospital. After 14 h, her laboratory examinations showed systemic inflammatory response syndrome and multiple organ dysfunction syndrome, while the condition deteriorated. Computed tomography of the abdomen showed multilinear air densities in the portal vein, hepatic branches, and mesenteric vessels, intestinal obstruction, and intestinal necrosis. Septic shock and a severe abdominal infection were diagnosed. The patient was treated conservatively as they could not tolerate surgery and, after 20 h died of septic shock. Conclusion: We reviewed 289 cases of "hepatic portal venous gas" in PUBMED and analyzed the etiology and treatment of HPVG accompanied by the underlying pathology. We concluded that HPVG is a radiological sign associated with various diseases, and the prognosis mainly depends on the underlying cause and clinical condition. As glyphosate may erode the digestive tract, attention should be paid to the volume, pressure, and speed of gastric lavage in treating glyphosate poisoning to avoid fatal complications such as HPVG. Abdominal symptoms need to be closely observed, and changes in the early onset of the condition in clinical practice need to be responded to promptly.

Congenital myopathies: pathophysiological mechanisms and promising therapies.

Congenital myopathies (CMs) are a kind of non-progressive or slow-progressive muscle diseases caused by genetic mutations, which are currently defined and categorized mainly according to their clinicopathological features. CMs exhibit pleiotropy and genetic heterogeneity. Currently, supportive treatment and pharmacological remission are the mainstay of treatment, with no cure available. Some adeno-associated viruses show promising prospects in the treatment of MTM1 and BIN1-associated myopathies; however, such gene-level therapeutic interventions target only specific mutation types and are not generalizable. Thus, it is particularly crucial to identify the specific causative genes. Here, we outline the pathogenic mechanisms based on the classification of causative genes: excitation-contraction coupling and triadic assembly (RYR1, MTM1, DNM2, BIN1), actin-myosin interaction and production of myofibril forces (NEB, ACTA1, TNNT1, TPM2, TPM3), as well as other biological processes. Furthermore, we provide a comprehensive overview of recent therapeutic advancements and potential treatment modalities of CMs. Despite ongoing research endeavors, targeted strategies and collaboration are imperative to address diagnostic uncertainties and explore potential treatments.

Remifentanil vs. dexmedetomidine for cardiac surgery patients with noninvasive ventilation intolerance: a multicenter randomized controlled trial.

BACKGROUND: The optimal sedative regime for noninvasive ventilation (NIV) intolerance remains uncertain. The present study aimed to assess the efficacy and safety of remifentanil (REM) compared to dexmedetomidine (DEX) in cardiac surgery patients with moderate-to-severe intolerance to NIV. METHODS: In this multicenter, prospective, single-blind, randomized controlled study, adult cardiac surgery patients with moderate-to-severe intolerance to NIV were enrolled and randomly assigned to be treated with either REM or DEX for sedation. The status of NIV intolerance was evaluated using a four-point NIV intolerance score at different timepoints within a 72-h period. The primary outcome was the mitigation rate of NIV intolerance following sedation. RESULTS: A total of 179 patients were enrolled, with 89 assigned to the REM group and 90 to the DEX group. Baseline characteristics were comparable between the two groups, including NIV intolerance score [3, interquartile range (IQR) 3-3 vs. 3, IQR 3-4, p = 0.180]. The chi-squared test showed that mitigation rate, defined as the proportion of patients who were relieved from their initial intolerance status, was not significant at most timepoints, except for the 15-min timepoint (42% vs. 20%, p = 0.002). However, after considering the time factor, generalized estimating equations showed that the difference was statistically significant, and REM outperformed DEX (odds ratio = 3.31, 95% confidence interval: 1.35-8.12, p = 0.009). Adverse effects, which were not reported in the REM group, were encountered by nine patients in the DEX group, with three instances of bradycardia and six cases of severe hypotension. Secondary outcomes, including NIV failure (5.6% vs. 7.8%, p = 0.564), tracheostomy (1.12% vs. 0%, p = 0.313), ICU LOS (7.7 days, IQR 5.8-12 days vs. 7.0 days, IQR 5-10.6 days, p = 0.219), and in-hospital mortality (1.12% vs. 2.22%, p = 0.567), demonstrated comparability between the two groups. CONCLUSIONS: In summary, our study demonstrated no significant difference between REM and DEX in the percentage of patients who achieved mitigation among cardiac surgery patients with moderate-to-severe NIV intolerance. However, after considering the time factor, REM was significantly superior to DEX. Trial registration ClinicalTrials.gov (NCT04734418), registered on January 22, 2021. URL of the trial registry record: https://register. CLINICALTRIALS: gov/prs/app/action/SelectProtocol?sid=S000AM4S&selectaction=Edit&uid=U00038YX&ts=3&cx=eqn1z0 .

Reducing amplification cycles to improve the coverage of influenza A virus genome sequencing in heterosubtypic co-infection.

This study delineates the enhancement of a Reverse Transcription Polymerase Chain Reaction (RT-PCR) method for the amplification of the complete genome of the influenza A virus during heterosubtypic co-infection, relying on the amplification of intact gene segments. The precision of the method was assessed using all amplicons, which underwent both capillary electrophoresis and DNA sequencing. Five samples featuring co-infection of Influenza A viruses with H1N1 and H3N2 subtypes were evaluated. The improved strategy successfully amplified all eight segments of H3N2 strains in four samples, and the entire genome of H1N1 strains in three samples.

EGCG suppressed activation of hepatic stellate cells by regulating the PLCE1/IP3/Ca2+ pathway.

(-)-Epigallocatechin-3-O-gallate (EGCG), one of the green tea catechins, exhibits significant antioxidant properties that play an essential role in various diseases. However, the functional role and underlying mechanism of EGCG in stimulating of hepatic stellate cells (HSCs) remain unexplored in transcriptomics sequencing studies. The present study suggests that oral administration of EGCG at a dosage of 200 mg/kg/day for a duration of four weeks exhibits significant therapeutic potential in a murine model of liver fibrosis induced by CCl4. The activation of HSCs in vitro was dose-dependently inhibited by EGCG. The sequencing analysis data reveled that EGCG exerted a regulatory effect on the calcium signal in mouse HSCs, resulting in a decrease in calcium ion concentration. Further analysis revealed that EGCG inhibited the expression of phospholipase C epsilon-1 (PLCE1) and inositol 1, 4, 5-trisphosphate (IP3) in activated mouse HSCs. Additionally, EGCG contributes to the reduction the concentration of calcium ions by regulating PLCE1. After the knockdown of PLCE1, free calcium ion concentrations decreased, resulting in the inhibition of both cell proliferation and migration. Interestingly, the expression of PLCE1 and cytosolic calcium levels were regulated by reactive oxygen species(ROS). Furthermore, our findings suggest that ROS might inhibit the expression of PLCE1 by inhibiting TFEB, a transcription activator involved in the nuclear translocation process. Our study provided novel evidence regarding the regulatory effects of EGCG on activated HSCs (aHSCs) in mice by the calcium signaling pathway, emphasizing the crucial role of PLCE1 within the calcium signaling network of HSCs. The proposition was also made that PLCE1 holds promise as a novel therapeutic target for murine liver fibrosis.

Nanotechnology-based approaches for antibacterial therapy.

The technique of antimicrobial therapy action is to stop or slow the growth of bacteria that can kill people, animals, and crops. The most widely used antibacterial agents are antibiotics. Even though these antimicrobial medications are quite effective, there are still certain barriers or challenges in using them effectively. To solve these issues, new antimicrobial drug molecules that don't have side effects or resistance are needed. These days, antimicrobial drugs placed in nanosized vehicles, or nanomedicine, made of different metal and metallic oxides as well as of polymer, carbon or lipid-based may be used to address these issues with conventional therapy and delivery techniques. This review focuses on the importance of nanotechnology in antimicrobial therapy, nanoparticles (NPs) used in this therapy, their mode of action, and the recent advancement in nanotechnology for antimicrobial therapy.

Development and external validation of a novel modality for rapid recognition of aortic dissection based on peripheral pulse oximetry waveforms.

BACKGROUND: Aortic dissection (AD) is a life-threatening cardiovascular emergency that is often misdiagnosed as other chest pain conditions. Physiologically, AD may cause abnormalities in peripheral blood flow, which can be detected using pulse oximetry waveforms. PURPOSE: This study aimed to assess the feasibility of identifying AD based on pulse oximetry waveforms and to highlight the key waveform features that play a crucial role in this diagnostic method. METHODS: This prospective study employed high-risk chest pain cohorts from two emergency departments. The initial cohort was enriched with AD patients (n = 258, 47% AD) for model development, while the second cohort consisted of chest pain patients awaiting angiography (n = 71, 25% AD) and was used for external validation. Pulse oximetry waveforms from the four extremities were collected for each patient. After data preprocessing, a recognition model based on the random forest algorithm was trained using patients' gender, age, and waveform difference features extracted from the pulse oximetry waveforms. The performance of the model was evaluated using receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA). The importance of features was also assessed using Shapley Value and Gini importance. RESULTS: The model demonstrated strong performance in identifying AD in both the training and external validation sets. In the training set, the model achieved an area under the ROC curve of 0.979 (95% CI: 0.961-0.990), sensitivity of 0.918 (95% CI: 0.873-0.955), specificity of 0.949 (95% CI: 0.912-0.985), and accuracy of 0.933 (95% CI: 0.904-0.959). In the external validation set, the model attained an area under the ROC curve of 0.855 (95% CI: 0.720-0.965), sensitivity of 0.889 (95% CI: 0.722-1.000), specificity of 0.698 (95% CI: 0.566-0.812), and accuracy of 0.794 (95% CI: 0.672-0.878). Decision curve analysis (DCA) further showed that the model provided a substantial net benefit for identifying AD. The median mean and median variance of the four limbs' signals were the most influential features in the recognition model. CONCLUSIONS: This study demonstrated the feasibility and strong performance of identifying AD based on peripheral pulse oximetry waveforms in high-risk chest pain populations in the emergency setting. The findings also provided valuable insights for future human fluid dynamics simulations to elucidate the impact of AD on blood flow in greater detail.

Valorization of sewage sludge incineration ash as a novel soilless growing medium for urban agriculture and greenery.

Limited open areas for urban agriculture and greenery have led to the search for innovative, sustainable growing media to strengthen the food supply and improve atmospheric quality for a resilient city. Rampant land developments have caused soil to become increasingly scarce. Sewage sludge incineration ash (SSIA), the by-product of waste-to-energy (WtE) incineration of sewage sludge, is a major municipal waste containing phosphorus-fertilizing nutrients. For the first time, we investigated the novel application of SSIA as a soilless plant-growing medium with built-in fertilizer. SSIA outperformed topsoil in bulk density, water-holding capacity, porosity, and nutrient content. However, it was found that SSIA has a high salinity and should be treated first. Wheatgrass (Triticum aestivum L.), a fast-growing glycophyte, thrived in the desalinated SSIA, showing growth and nutrient content comparable to the topsoil case. Simultaneously, it demonstrated phytoremediation. The SSIA residue was then recycled into cementitious materials, using desalinating water for mixing. SSIA upcycle into a growing medium facilitates urban resource management by utilizing nutrients in sewage waste for eco-friendly plant cultivation, benefiting urban agriculture and greenery. It is also a prudent valorization step before further recycling SSIA to reduce landfill requirements.

Genome-wide analysis of the NYN domain gene family in Brassica napus and its function role in plant growth and development.

The NYN domain gene family consists of genes that encode ribonucleases that are characterized by a newly identified NYN domain. Members of the family were widely distributed in all life kingdoms and play a crucial role in various RNA regulation processes, although the wide genome overview of the NYN domain gene family is not yet available in any species. Rapeseed (Brassica napus L.), a polyploid model species, is an important oilseed crop. Here, the phylogenetic analysis of these BnaNYNs revealed five distinct groups strongly supported by gene structure, conserved domains, and conserved motifs. The survey of the expansion of the gene family showed that the birth of BnaNYNs is explained by various duplication events. Furthermore, tissue-specific expression analysis, protein-protein interaction prediction, and cis-element prediction suggested a role for BnaNYNs in plant growth and development. Interestingly, the data showed that three tandem duplicated BnaNYNs (TDBs) exhibited distinct expression patterns from those other BnaNYNs and had a high similarity in protein sequence level. Furthermore, the analysis of one of these TDBs, BnaNYN57, showed that overexpression of BnaNYN57 in Arabidopsis thaliana and B. napus accelerated plant growth and significantly increased silique length, while RNA interference resulted in the opposite growth pattern. It suggesting a key role for the TDBs in processes related to plant growth and development.