Quorum sensing positively regulates CPS-dependent Autographiviridae phage infection in Vibrio alginolyticus.

Quorum sensing (QS) orchestrates many bacterial behaviors, including virulence and biofilm formation, across bacterial populations. Nevertheless, the underlying mechanism by which QS regulates capsular polysaccharide (CPS)-dependent phage-bacterium interactions remains unclear. In this study, we report that QS upregulates the expression of CPS-dependent phage receptors, thus increasing phage adsorption and infection rates in Vibrio alginolyticus. We found that QS upregulated the expression of the ugd gene, leading to increased synthesis of Autographiviridae phage receptor CPS synthesis in V. alginolyticus. The signal molecule autoinducer-2 released by Vibrio from different sources can potentially enhance CPS-dependent phage infections. Therefore, our data suggest that inhibiting QS may reduce, rather than improve, the therapeutic efficacy of CPS-specific phages. IMPORTANCE: Phage resistance is a direct threat to phage therapy, and understanding phage-host interactions, especially how bacteria block phage infection, is essential for developing successful phage therapy. In the present study, we demonstrate for the first time that Vibrio alginolyticus uses quorum sensing (QS) to promote capsular polysaccharide (CPS)-specific phage infection by upregulating ugd expression, which is necessary for the synthesis of Autographiviridae phage receptor CPS. Although increased CPS-specific phage susceptibility is a novel trade-off mediated by QS, it results in the upregulation of virulence factors, promoting biofilm development and enhanced capsular polysaccharide production in V. alginolyticus. This suggests that inhibiting QS may improve the effectiveness of antibiotic treatment, but it may also reduce the efficacy of phage therapy.

Targeting tumorous Circ-E-Cadherinencoded C-E-Cad inhibits the recruitment and function of breast cancer-associated myeloid-derived suppressor cells.

We previously demonstrated that the C-E-cad protein encoded by circ-E-cadherin promotes the self-renewal of glioma stem cells. The expression pattern of C-E-cad in breast cancer and its potential function in the tumor microenvironment are unclear. The expression of circ-E-cadherin and C-E-cad was detected in breast cancer specimens. The influence of C-E-cad expression on MDSCs was assessed using FACS and in vivo tumorigenesis experiments. The synergistic effect of anti-C-E-cad and anti-PD-1 antibodies was validated in vivo. circ-E-cadherin and the encoded protein C-E-cad were found to be upregulated in breast cancer vs. normal samples. C-E-cad promotes the recruitment of MDSCs, especially PMN-MDSCs. C-E-cad activates EGFR signaling in tumor cells and promotes the transcription of CXCL8; moreover, C-E-cad binds to MDSCs and maintains glycolysis in PMN-MDSCs. Targeting C-E-cad enhanced anti-PD-1 efficiency. Our data suggested that C-E-cad is markedly overexpressed in breast cancer and promotes MDSC recruitment and survival. Targeting C-E-cad increases the efficacy of immune checkpoint inhibitor therapy.

A review of tire wear particles: Occurrence, adverse effects, and control strategies.

Tire wear particles (TWPs), common mixed particulate emerging contaminants in the environment, have global per capita emissions accounting for 0.23-1.9 kg/year, attracting global attention recently due to their wide detection, small size, mobility, and high toxicity. This review focuses on the occurrence characteristics of TWPs in multiple environmental media, adverse effects on organisms, potential toxicity mechanisms, and environmental risk prevention and control strategies of TWPs. The environmental fate of TWPs throughout the entire process is systematically investigated by the bibliometric analysis function of CiteSpace. This review supplements the gap in the joint toxicity and related toxicity mechanisms of TWPs with other environmental pollutants. Based on the risks review of TWPs and their additives, adverse impacts have been found in organisms from aquatic environments, soil, and humans, such as the growth inhibition effect on Chironomus dilutes. A multi-faceted and rationalized prevention and control treatment of "source-process-end" for the whole process can be achieved by regulating the use of studded tires, improving the tire additive formula, growing plants roadside, encouraging micro-degradation, and other methods, which are first reviewed. By addressing the current knowledge gaps and exploring prospects, this study contributes to developing strategies for reducing risks and assessing the fate of TWPs in multiple environmental media.

Psychometric testing of the Chinese version of the Perceived Maternal Parenting Self-Efficacy Scale among postpartum women.

BACKGROUND: Maternal parenting self-efficacy plays a critical role in facilitating positive parenting practices and successful adaption to motherhood. The Perceived Maternal Parenting Self-Efficacy Scale (PMPS-E), as a task-specific measure, confirms its psychometric properties in cultural contexts. Compared with other tools, the advantages of the PMPS-E are as follows: (i) specific context or time period during the lifespan of a child, (ii) explicitly assess parenting self-efficacy across a diverse enough range of parenting tasks or activities during the perinatal/postnatal period and (iii) having robust psychometric properties. The aim of this study was to translate and determine the psychometric properties of the PMPS-E among Chinese postpartum women (C-PMPS-E). METHOD: The cross-cultural adaptation process followed Beaton et al.'s intercultural debugging guidelines. A total of 471 women were included to establish the psychometric properties of the C-PMPS-E. Mothers were asked to complete the C-PMPS-E, Edinburgh Postnatal Depression Scale (EPDS), the Generalized Anxiety Disorder-7 (GAD-7) and several demographic questions. The psychometric testing of the C-PMPS-E was established through item analysis, construct validity and internal consistency reliability. RESULTS: Item analysis showed that the critical ratios of all items were greater than 3 between the low-score group and high-score group, and all item-total correlation coefficients were greater than 0.4. The fit indices showed that the original correlated four-factor model of C-PMPS-E was observed to be an excellent fit to the data. The PMPS-E was negatively correlated with the EPDS and GAD-7 demonstrating its discriminant validity. As expected, no significant correlation was found between PMPS-E total or subscale scores and mothers' age. In addition, statistically significant differences for parity were detected for C-PMPS-E total and subscale scores with multipara having higher scores. This was taken as further evidence of the scale known-groups discriminant validity. In terms of internal consistency, the Cronbach's alpha of the C-PMPS-E total scale was 0.950, and subscales ranged from 0.76 to 0.89. Furthermore, a ROC curve analysis was conducted to establish the ability of the C-PMPS-E to distinguish between symptoms of depression and symptoms of anxiety. A cut-off value of 55 was identified that resulted in good specificity and fair sensitivity. CONCLUSION: The C-PMPS-E is a reliable and valid tool to assess maternal parenting self-efficacy in a Chinese context.

Validation of the Chinese version of the autism spectrum knowledge scale general population version (ASKSG) with a parent sample.

BACKGROUND: The early detection and diagnosis of autism spectrum disorder (ASD) in children are a first step in determining follow-up assessments and personalized treatment plans. Parents play an extremely crucial role in children's development; therefore, it is essential to identify a valid and reliable instrument to evaluate the knowledge of parents about ASD. The aim of this study was to translate and determine the psychometric properties of the Autism Spectrum Knowledge Scale General Population Version (ASKSG) with a parent sample. DESIGN AND METHODS: A cross-sectional study was conducted with 858 parents of children aged 0-14 years in China. The demographic characteristics form and ASKSG were used for data collection. The psychometric properties of the ASKSG were evaluated by examining reliability, exploratory factor analysis (EFA), categorical confirmatory factor analysis (CCFA), unidimensionality, person and item reliability, item fit and item difficulty, and item-person mapping. RESULTS: The Cronbach's alpha coefficient of the ASKSG was 0.865. In terms of EFA, principal component analysis revealed a fixed number of five factors, explaining 41.642% of the total variance. For the CCFA, the structure of the thematically derived five-factor model was observed to be a marginal fit to the data. The eigenvalue was 31.00, with a variance of 62.7%. The person reliability was 0.85, and the person separation was 2.38. The item reliability was 1.00, and the item separation was 15.02. The infit and outfit statistical analysis fell within acceptable ranges from 0.75 to 1.35, and the item difficulty ranged from -2.43 to 2.44. An item-person map with excellent targeting would be symmetric along the vertical axis from more difficult endorsement at the top (question 1 and question 20) to easier endorsement at the bottom (question 1). Some items do appear to function differently across sexes, and they assess the latent trait unequally across both sexes. CONCLUSIONS: The Chinese version of the ASKSG is a reliable and valid tool for assessing knowledge of parents about ASD. PRACTICE IMPLICATIONS: Chinese ASKSG now offers medical professionals and teachers a robust means of assessing parental knowledge about ASD. Therefore, professionals may use the scale to help them screen or identify parents who are in need of additional support or advice.

Improved microalgae carbon fixation and microplastic sedimentation in the lake through in silico method.

The impact of microplastics in lake water environments on microalgae carbon fixation and microplastic sedimentation has attracted global attention. The molecular dynamic simulation method was used to design microplastic additive proportioning schemes for improving microalgae carbon fixation and microplastic sedimentation. Results showed that the harm of microplastics can be effectively alleviated by adjusting the proportioning scheme of plastic additives. Besides, the decabromodiphenyl oxide (DBDPO) was identified as the main additive that affect the microalgae carbon fixation and microplastic sedimentation. Thus, a molecular modification based on CiteSpace visual analysis was firstly used and 12 DBDPO derivatives were designed. After the screening, DBDPO-2 and DBDPO-5 became the environmentally friendly DBDPO alternatives, with the highest microalgae carbon fixation and microplastic sedimentation ability enhancement of over 25 %. Compared to DBDPO, DBDPO derivatives were found easier to stimulate the adsorption and binding ability of surrounding hotspot amino acids to CO2 and ribulose-5-phosphate, increasing the solvent-accessible surface area of microplastics, thus improving the microalgae carbon fixation and microplastic sedimentation ability. This study provides theoretical support for simultaneously promoting the microalgae carbon fixation and microplastic sedimentation in the lake water environment and provides scientific basis for the protection and sustainable development of lake water ecosystem.

Enhancing Concrete Mechanical Properties through Basalt Fibers and Calcium Sulfate Whiskers: Optimizing Compressive Strength, Elasticity, and Pore Structure.

To study the effects of basalt fibers (BFs), calcium sulfate whiskers (CSWs), and modified calcium sulfate whiskers (MCSWs) on the compressive strength and dynamic modulus of elasticity of concrete, this paper utilizes Mercury Intrusion Porosimetry (MIP) to measure the microstructure of concrete and calculate the fractal dimension of pore surface area. The results indicate that both CSWs and BFs can increase the compressive strength of concrete. CSWs can enhance the dynamic modulus of elasticity of concrete, while the effect of BFs on the dynamic modulus of elasticity is not significant. The improvement in compressive strength and dynamic modulus of elasticity provided by MCSWs is significantly greater than that provided by CSWs. Both CSWs and BFs can effectively improve the pore structure of concrete and have a significant impact on the surface fractal dimension. CSWs inhibit the formation of ink-bottle pores, while BFs increase the number of ink-bottle pores. Due to the ink-bottle pore effect, the fractal dimension of the capillary pore surface is generally greater than three, lacking fractal characteristics. The compressive strength and dynamic modulus of elasticity of concrete have a good correlation with the fractal dimensions of large pores and transition pores.

Characterization and genomic analysis of a broad-spectrum lytic phage PG288: A potential natural therapy candidate for Vibrio infections.

Vibrio parahaemolyticus, an important zoonotic pathogen, can cause severe diseases and even death in aquatic animals and humans. As the widespread use of antibiotics gradually diminishes their effectiveness, phages, which can selectively lyse bacteria, are garnering increased attention as a valuable alternative antibacterial strategy. This study characterized PG288, a lytic phage utilizing V. parahaemolyticus strain G855 as its host. Morphologically, the phage features a polyhedral head and a long, non-retractable tail. Bactericidal assays revealed that phage PG288 exhibited a strong lytic ability against V. parahaemolyticus strain G855 and demonstrated a broad host range, as evidenced by the ability to infect several distinct Vibrio species. The one-step growth curve indicated a latent period of approximately 50 min for phage PG288, with a burst size of roughly 92 PFU per cell. Additionally, phage PG288 exhibited remarkable stability within a temperature range of 20-50°C and a pH range of 4-10. Genomic analysis unveiled 105 ORFs within phage PG288, notably devoid of genes associated with antibiotic resistance, virulence, and lysogenic activity. Phylogenetic analysis conclusively identified it as a new member of the genus Mardecavirus within the class Caudoviricetes. In summary, this study contributes valuable insights to the phage database, presenting phage PG288 as a promising candidate for phage therapies against Vibrio infections.

Clinical effect and prognostic factor of electric stimulation and biofeedback therapy on postpartum pelvic organ prolapse.

OBJECTIVE: To explore the effects of electric stimulation and biofeedback therapy in patients with postpartum pelvic organ prolapse and to identify factors that can affect therapeutic efficacy outcomes. METHOD: This retrospective study analysed clinical data about patients with postpartum pelvic organ prolapse. A total of 328 women with pelvic organ prolapse at 6 weeks postpartum were recruited from one tertiary hospitals in Sichuan province in China, between March 2019 and March 2022. The prognostic factors of therapeutic efficacy were analysed using logistic regression and decision tree model. RESULTS: Overall, 259 women showed clinical benefits from the treatment. The logistic regression model showed that parity, pelvic floor muscle training at home, and the pelvic organ prolapse quantitation stage before treatment were independent prognostic factors. The decision tree model showed that the pelvic organ prolapse quantitation stage before treatment was the main prognostic factor, followed by parity. There was no significant difference in the area under the receiver operating characteristic curve between the two models. CONCLUSION: Parity, pelvic floor muscle training at home, and the pelvic organ prolapse quantitation stage before treatment were important prognostic factors of electric stimulation and biofeedback therapy on postpartum pelvic organ prolapse.

Tire additives: Evaluation of joint toxicity, design of new derivatives and mechanism analysis of free radical oxidation.

N-(1,3-Dimethylbutyl)-N'-phenyl-p-phenylenediamine (6PPD) is one of the most widely used antioxidant agents in tire additives. Its ozonation by-product 6PPD-quinone has recently been recognized as inducing acute mortality in aquatic organisms such as coho salmon. In this study, we aimed to develop an in-silico method to design environmentally friendly 6PPD derivatives and evaluate the joint toxicity of 6PPD with other commonly used tire additives on coho salmon through full factorial design-molecular docking and molecular dynamic simulation. The toxicity mentioned in this study is represented by the binding energy of chemical(s) binding to the coho salmon growth hormone. The recommended formula for tire additives with relatively low toxicity was then proposed. To further reduce the toxicity of 6PPD, 129 6PPD derivatives were designed based on the N-H bond dissociation reaction, and three of these derivatives showed improved antioxidant activity and 6PPD-106 was finally screened as the optimum alternative with lower toxicity to coho salmon. Besides, the mechanism of free radical oxidation (i.e., antioxidation and ozonation metabolic pathway) for 6PPD-106 was also analyzed and found that after ozonation, the toxicity of 6PPD-106's by-products is much lower than that of 6PPD's by-products. This study provided a molecular modelling-based examination of 6PPD, which comprehensively advanced the understanding of 6PPD's environmental behaviors and provided more environmentally friendly 6PPD alternatives with desired functional property and lower ecological risks.

Mining the sustainability of takeaway businesses in online food delivery service supply chain.

The online food delivery service supply chain constitutes a crucial element in achieving sustainable development goals. With its prosperity, an increasing number of takeaway businesses are drawn to this sector. As their numbers rise, issues such as profitability resilience, environmental friendliness, and fulfillment of social responsibility emerge, posing potential disruptions to the service supply chain. Against this backdrop, our endeavor is to mine the sustainability of takeaway businesses using the triple bottom line. We propose a two-stage approach involving the Bayesian best-worst method and a data mining technique to derive the weights of sustainability criteria and the clusters of takeaway businesses. Subsequently, a case study is conducted focusing on takeaway businesses on the Ele.me platform in China. The results highlight economic sustainability as the most valued criterion, followed by social and environmental sustainability. Clustering outcomes reveal four distinct levels of sustainability, with a stronger performance in social sustainability compared to environmental and economic dimensions. Further discussions explore the relationship between sustainability levels, cuisine categories, and business size. Consequently, this study suggests an effective approach for advancing sustainability initiatives within the online food delivery service supply chain.

Standardized training nurses's humanistic care practice ability: A cross-sectional survey in western China during COVID-19.

AIM: This study aims to investigate the current status and determinants of humanistic care practice abilities among standardized training nurses in China during the post-COVID-19 era, as well as to propose management strategies. DESIGN: A cross-sectional study. METHODS: Deliberately chosen were 517 standardized training nursing students from a provincial-level training facility in western China. RESULTS: The respondents had a mean ± SD age of 21.23 ± 1.34 years, and 92.0% of them voluntarily opted for the nursing profession. Almost all (99.8%) respondents had at least a college degree. The standardized training nurses scored an average of (130.31 ± 14.18) on humanistic care ability, which was significantly related to some sociodemographic variables. The average scores for the five dimensions of nursing communication ability, psychological adjustment ability, moral and legal application ability, nursing aesthetic ability, and care practice ability were 30.78, 17.61, 32.23, 18 and 31.67, respectively. All these dimensions showed positive correlations with the overall score of humanistic care practice ability.

Exposure estimation and neurotoxicity inhibition of dioxins in sensitive populations near domestic waste incineration plant through adverse outcome pathway.

The neurotoxicity induced by dioxins has been recognized as a serious concern to sensitive population living near waste incineration plants. However, investigating the intracellular neurotoxicity of dioxin in humans and the corresponding mitigation strategies has been barely studied. Thus, a domestic waste incineration plant was selected in this study to characterize the neurotoxicity risks of sensitive populations by estimating the ratio of dioxin in human cells using membrane structure dynamics simulation; and constructing a complete dioxin neurotoxicity adverse outcome pathway considering the binding process of AhR/ARNT dimer protein and dioxin response element (DRE). Six dioxins with high neurotoxicity risk were identified. According to the composite neurotoxicity risk analysis, the highest composite neurotoxicity risk appeared when the six dioxins were jointly exposed. Dietary schemes were designed using 1/2 partial factor experimental design to mitigate the composite neurotoxicity risk of six dioxins and No. 16 was screened as the optimum combination which can effectively alleviate the composite neurotoxicity risk by 29.52%. Mechanism analysis shows that the interaction between AhR/ARNT dimer protein and DRE was inhibited under the optimal dietary scheme. This study provides theoretical feasibility and reference significance for assessing composite toxicity risks of pollutants and safety mitigation measures for toxic effects.

GPNMB Modulates Autophagy to Enhance Functional Recovery After Spinal Cord Injury in Rats.

Spinal cord injury (SCI) severely affects the quality of life and autonomy of patients, and effective treatments are currently lacking. Autophagy, an essential cellular metabolic process, plays a crucial role in neuroprotection and repair after SCI. Glycoprotein non-metastatic melanoma protein B (GPNMB) has been shown to promote neural regeneration and synapse reconstruction, potentially through the facilitation of autophagy. However, the specific role of GPNMB in autophagy after SCI is still unclear. In this study, we utilized the spinal cord transection method to establish SCI rats model and overexpressed GPNMB using adenoviral vectors. We assessed tissue damage using hematoxylin and eosin (H&E) and Nissl staining, and observed cell apoptosis using TUNEL staining. We evaluated the inflammatory response by measuring inflammatory factors using enzyme-linked immunosorbent assay (ELISA). In addition, we measured reactive oxygen species (ROS) levels using 2',7'-dichlorodihydrofluorescein diacetate (DCFH-DA), and assessed oxidative stress levels by measuring malondialdehyde (MDA) and glutathione (GSH) using ELISA. To evaluate autophagy levels, we performed immunofluorescence staining for the autophagy marker Beclin-1 and conducted Western blot analysis for autophagy-related proteins. We also assessed limb recovery through functional evaluation. Meanwhile, we induced cell injury using lipopolysaccharide (LPS) and added an autophagy inhibitor to verify the impact of GPNMB on SCI through autophagy modulation. The results demonstrated that GPNMB alleviated the inflammatory response, reduced oxidative stress levels, inhibited cell apoptosis, and promoted autophagy following SCI. Inhibiting autophagy reversed the effects of GPNMB. These findings suggest that GPNMB promotes neural injury repair after SCI, potentially through attenuating the inflammatory response, reducing oxidative stress, and inhibiting cell apoptosis.

The Ugd, a capsular polysaccharide synthesis protein, regulates the bacterial motility in Vibrio alginolyticus.

Vibrio alginolyticus is one of the most common opportunistic pathogens in marine animals and humans. In this study, A transposon mutation library of the V. alginolyticus E110 was used to identify motility-related genes, and we found three flagellar and one capsular polysaccharide (CPS) synthesis-related genes were linked to swarming motility. Then, gene deletion and complementation further confirmed that CPS synthesis-related gene ugd is involved in the swarming motility of V. alginolyticus. Phenotype assays showed that the Δugd mutant reduced CPS production, decreased biofilm formation, impaired swimming ability, and increased cytotoxicity compared to the wild-type strain. Transcriptome analysis showed that 655 genes (15%) were upregulated and 914 genes (21%) were downregulated in the Δugd strain. KEGG pathway and heatmap analysis revealed that genes involved in two-component systems (TCSs), chemotaxis, and flagella assembly pathways were downregulated in the Δugd mutant. On the other hand, genes involved in pathways of human diseases, biosynthesis ABC transporters, and metabolism were upregulated in the Δugd mutant. The RT-qPCR further validated that ugd-regulated genes are associated with motility, biofilm formation, virulence, and TCSs. These findings imply that ugd may be an important player in the control of some physiological processes in V. alginolyticus, highlighting its potential as a target for future research and potential therapeutic interventions.

Construction of Fully Integrated and Energy Self-Sufficient NO2 Gas Sensors Utilizing Zinc-Air Batteries.

Exploration of novel self-powered gas sensors free of external energy supply restrictions, such as light illumination and mechanical vibration, for flexible and wearable applications is in urgent need. Herein, this work constructs a flexible and self-powered NO2 gas sensor based on zinc-air batteries (ZABs) with the cathode of the ZABs also acting as the gas-sensitive layer. Furthermore, the SiO2 coating film, serving as a hydrophobic layer, increases the three-phase interfaces for the NO2 reduction reaction. The constructed sensors exhibit a high sensing response (0.3 V @ 5 ppm), an ultralow detection limit (61 ppb), a fast sensing process (129 and 103 s), and excellent selectivity. Moreover, the sensors also possess a wide working temperature range and a low working temperature tolerance (0.34 V at -15 °C). Simulations indicate that the hydrophobic surface at the cathode-hydrogel interface will accommodate more NO2 gas molecules at the reaction sites and prevent the influence of inner water evaporation and direct dissolution of NO2 in the electrolyte, which is beneficial to the enhanced gas sensing abilities. Finally, the self-powered sensing device is incorporated into a smart sensing system for practical applications. This work will pave a new insight into the construction of integrated and energy self-sufficient smart gas sensing systems.

In silico degradation of fluoroquinolones by a microalgae-based constructed wetland system.

Fluoroquinolone antibiotics (FQs) have been used worldwide due to their extended antimicrobial spectrum. However, the overuse of FQs leads to frequent detection in the environment and cannot be efficiently removed. Microalgae-based constructed wetland systems have been proven to be a relatively proper method to treat FQs, mainly by microalgae, plants, microorganisms, and sediments. To improve the removal efficiency of microalgae-constructed wetland, a systematic molecular design, screening, functional, and risk evaluation method was developed using three-dimensional quantitative structure-activity relationship models, molecular dynamics simulation, molecular docking, and TOPKAT approaches. Five designed ciprofloxacin alternatives with improved bactericidal effects and lower human health risks were found to be more easily degraded by microalgae (16.11-167.88 %), plants (6.72-58.86 %), microorganisms (9.10-15.02 %), and sediments (435.83 %-1763.51 %) compared with ciprofloxacin. According to the mechanism analysis, the removal effect of the FQs can be affected via changes in the number, bond energy, and molecular descriptors of favorable and unfavorable amino acids. To the best of our knowledge, this is the first comprehensive study of improving the microalgae, plants, microorganisms, and sediment removal efficiency of FQs in constructed wetlands, which provides theoretical support for the treatment of FQ pollution.

Enantioselective sulfur(VI) fluoride exchange reaction of iminosulfur oxydifluorides.

Linkage chemistry and functional molecules derived from the stereogenic sulfur(VI) centre have important applications in organic synthesis, bioconjugation, drug discovery, agrochemicals and polymeric materials. However, existing approaches for the preparation of optically active S(VI)-centred compounds heavily rely on synthetic chiral S(IV) pools, and the reported linkers of S(VI) lack stereocontrol. A modular assembly method, involving sequential ligand exchange at the S(VI) centre with precise control of enantioselectivity, is appealing but remains elusive. Here we report an asymmetric three-dimensional sulfur(VI) fluoride exchange (3D-SuFEx) reaction based on thionyl tetrafluoride gas (SOF4). A key step involves the chiral ligand-induced enantioselective defluorinative substitution of iminosulfur oxydifluorides using organolithium reagents. The resulting optically active sulfonimidoyl fluorides allow for further stereospecific fluoride-exchange by various nucleophiles, thereby establishing a modular platform for the asymmetric SuFEx ligation and the divergent synthesis of optically active S(VI) functional molecules.

Ovarian cancer: Diagnosis and treatment strategies (Review).

Ovarian cancer is a malignant tumor that seriously endangers health. Early ovarian cancer symptoms are frequently challenging to detect, resulting in a large proportion of patients reaching an advanced stage when diagnosed. Conventional diagnosis relies heavily on serum biomarkers and pathological examination, but their sensitivity and specificity require improvement. Targeted therapy inhibits tumor growth by targeting certain characteristics of tumor cells, such as signaling pathways and gene mutations. However, the effectiveness of targeted therapy varies among individuals due to differences in their unique biological characteristics and requires individualized strategies. Immunotherapy is a promising treatment for ovarian cancer due to its long-lasting antitumor effect. Nevertheless, issues such as variable efficacy, immune-associated adverse effects and drug resistance remain to be resolved. The present review discusses the diagnostic strategies, rationale, treatment strategies and prospects of targeted therapy and immunotherapy for ovarian cancer.

Causal prior-embedded physics-informed neural networks and a case study on metformin transport in porous media.

This study introduces a novel approach to transport modelling by integrating experimentally derived causal priors into neural networks. We illustrate this paradigm using a case study of metformin, a ubiquitous pharmaceutical emerging pollutant, and its transport behaviour in sandy media. Specifically, data from metformin's sandy column transport experiment was used to estimate unobservable parameters through a physics-based model Hydrus-1D, followed by a data augmentation to produce a more comprehensive dataset. A causal graph incorporating key variables was constructed, aiding in identifying impactful variables and estimating their causal dynamics or "causal prior." The causal priors extracted from the augmented dataset included underexplored system parameters such as the type-1 sorption fraction F, first-order reaction rate coefficient α, and transport system scale. Their moderate impact on the transport process has been quantitatively evaluated (normalized causal effect 0.0423, -0.1447 and -0.0351, respectively) with adequate confounders considered for the first time. The prior was later embedded into multilayer neural networks via two methods: causal weight initialization and causal prior regularization. Based on the results from AutoML hyperparameter tuning experiments, using two embedding methods simultaneously emerged as a more advantageous practice since our proposed causal weight initialization technique can enhance model stability, particularly when used in conjunction with causal prior regularization. amongst those experiments utilizing both techniques, the R-squared values peaked at 0.881. This study demonstrates a balanced approach between expert knowledge and data-driven methods, providing enhanced interpretability in black-box models such as neural networks for environmental modelling.