Simple and low-cost colorimetric method for quantification of surface oxygen vacancy in zinc oxide.

Zinc oxide (ZnO) nanoparticles with surface oxygen vacancy (OV) was found to catalyze the colorimetric reaction of 3,3',5,5'-tetramethylbenzidine (TMB)-H2O2, and the absorbance of this TMB-H2O2-ZnO system was strongly dependent the OV concentration on surface of ZnO. By taking advantage of this phenomenon, one colorimetric method was proposed for quantifying surface OV in ZnO. The surface OV amount obtained through this colorimetric method matched well with that obtained through X-ray photoelectron spectroscopy (XPS). This colorimetric method doesn't need any advanced instruments, and can be completed in any an ordinary laboratory. This colorimetric method for detecting surface OV amount was simple, rapid (about 15 min) and low-cost.

Strip clear-cutting transformations increase soil N2O emissions in abandoned Moso bamboo forests.

Forest transformation can markedly impact soil greenhouse gas emissions and soil environmental factors. Due to increasing labor costs and declining bamboo prices, the abandonment of Moso bamboo forests is sharply escalating in recent years, which weakens the carbon sequestration capacity and decreases the ecological function of forests. To improve the ecological quality of abandoned Moso bamboo forests, transformations of abandoned bamboo forests have occurred. However, the impact of such transformations on N2O emissions remains elusive. To bridge the knowledge gap, we conducted a 23-month field experiment to compare the effects of various forest management practices on soil N2O emissions and soil environmental factors in abandoned Moso bamboo forests in subtropical China. These practices included uncut abandonment as a control, intensive management, three intensities (light, moderate, and heavy) of strip clear-cutting with replanting local tree species, and clear-cutting with replanting transformation. During the experimental period, the mean soil N2O flux in abandoned Moso bamboo forests was 13.2 ± 0.1 µg m-2 h-1, representing a 44% reduction compared to intensive management forests. In comparison to the uncut control, light, moderate, and heavy strip clear-cutting and clear-cutting transformations increased soil N2O emission rates by 20%, 43%, 64%, and 94%, respectively. Soil temperature (69-71%), labile C (2-6%) and N (3-8%) were the main factors that explain N2O emissions following the transformation of abandoned Moso bamboo forests. Additionally, replanting could decrease soil N2O emissions by increasing the contribution of soil moisture. Overall, the light strip clear-cutting transformation is suggested to convert abandoned Moso bamboo forests to mitigate N2O emissions.

Fragmentomics of plasma mitochondrial and nuclear DNA inform prognosis in COVID-19 patients with critical symptoms.

BACKGROUND: The mortality rate of COVID-19 patients with critical symptoms is reported to be 40.5%. Early identification of patients with poor progression in the critical cohort is essential to timely clinical intervention and reduction of mortality. Although older age, chronic diseases, have been recognized as risk factors for COVID-19 mortality, we still lack an accurate prediction method for every patient. This study aimed to delve into the cell-free DNA fragmentomics of critically ill patients, and develop new promising biomarkers for identifying the patients with high mortality risk. METHODS: We utilized whole genome sequencing on the plasma cell-free DNA (cfDNA) from 33 COVID-19 patients with critical symptoms, whose outcomes were classified as survival (n = 16) and death (n = 17). Mitochondrial DNA (mtDNA) abundance and fragmentomic properties of cfDNA, including size profiles, ends motif and promoter coverages were interrogated and compared between survival and death groups. RESULTS: Significantly decreased abundance (~ 76% reduction) and dramatically shorter fragment size of cell-free mtDNA were observed in deceased patients. Likewise, the deceased patients exhibited distinct end-motif patterns of cfDNA with an enhanced preference for "CC" started motifs, which are related to the activity of nuclease DNASE1L3. Several dysregulated genes involved in the COVID-19 progression-related pathways were further inferred from promoter coverages. These informative cfDNA features enabled a high PPV of 83.3% in predicting deceased patients in the critical cohort. CONCLUSION: The dysregulated biological processes observed in COVID-19 patients with fatal outcomes may contribute to abnormal release and modifications of plasma cfDNA. Our findings provided the feasibility of plasma cfDNA as a promising biomarker in the prognosis prediction in critically ill COVID-19 patients in clinical practice.

Sliding mode control with self-adaptive parameters of a 5-DOF hybrid robot.

Due to the advantages of high stiffness, high precision, high load capacity and large workspace, hybrid robots are applicable to drilling and milling of complicated components with large sizes, for instance car panels. However, the difficulty in establishing an exact dynamic model and external disturbances affect the high accuracy control directly, which will decrease the machining accuracy and thereby affect the machining quality and efficiency of the system. Sliding mode control is an effective approach for high-order nonlinear dynamic systems since that it is very insensitive to disturbances and parameter variations. However, chattering may exist in traditional sliding mode control with fixed parameters, which results from a constant approaching speed. Besides, the approaching speed will affect the chattering strength directly. To solve these problems, a modified sliding mode controller with self-adaptive parameters is proposed to enhance the trajectory-tracking performance of a 5-degree-of-freedom hybrid robot. Firstly, the kinematic model of the robot is established. Then adopting the principle of virtual work, a rigid dynamic model of the robot is built. Based on the built dynamic model, a modified sliding mode control method is developed, of which the approaching speed is dependent on the system state. Finally, the sliding mode controller with self-adaptive parameters is created for a hybrid robot. The proposed sliding mode controller can achieve a rapid approaching speed and suppress chattering simultaneously. Simulation results demonstrate that the proposed modified sliding mode controller can achieve a comparatively accurate and smooth trajectory, which owns good robustness to external disturbances.

Hypoglycemic drugs, circulating inflammatory proteins, and gallbladder diseases: A mediation mendelian randomization study.

BACKGROUND: The relationship of hypoglycemic drugs, inflammatory proteins and gallbladder diseases remain unknown. METHODS: Four hypoglycemic drugs were selected as exposure: glucagon-like peptide-1 receptor agonists (GLP-1RA), dipeptidyl peptidase-4 inhibitors (DPP-4i), sodium-glucose cotransporter 2 inhibitors (SGLT-2i), and metformin. The outcome were two gallbladder diseases: cholecystitis and cholelithiasis. Mendelian Randomization (MR) was employed to determine the association between hypoglycemic drugs and gallbladder diseases. RESULTS: DPP-4i and SGLT-2i had no effect on cholecystitis and cholelithiasis. However, a causal relationship was found between inhibition of ETFDH gene, a target of metformin expressed in cultured fibroblasts, and cholelithiasis (OR: 0.84, 95 %CI: (0.72,0.97), p = 0.021), as well as between GLP1R expression in the brain caudate basal ganglia and cholecystitis (OR: 1.29, 95 %CI: (1.11,1.49), p = 0.001). The effect of ETFDH inhibition on cholelithiasis through Interleukin-10 receptor subunit beta (IL-10RB) levels and Neurotrophin-3 (NT-3) levels, with a mediated proportion of 8 % and 8 %, respectively. CONCLUSION: Metformin plays a protective role in cholelithiasis, while GLP-1RA have a harmful effect on the risk of cholecystitis. Metformin may reduce the risk of cholelithiasis by modulating the levels of Neurotrophin-3 (NT-3) and Interleukin-10 receptor subunit beta (IL-10RB). Further clinical and mechanistic studies are required to confirm these findings.

Enantioselective Synthesis of spiro[indoline-3,4- pyrrolo [3,4-b]pyridines] via Organocatalysed Three-Component Cascade Reaction.

Asymmetric synthesis of spiro[indoline-3,4-pyrrolo [3,4-b]pyridines] derivatives was first developed through organocatalytic cascade Knoevenagel/Michael/cyclization reaction using a quinidine -derived squaramide. Under the optimized conditions, the three-component reaction of isatins, cyanoacetates, and 3-aminomaleimides yield the desired heterocycle-fused spirooxindoles in good yields (78-91%) with 53-99% enantiomer excess (ee). Notably, this reaction enabled a broad substrate scope under mild conditions, and provided a convenient method for enantioselective construction of diverse spirooxindoles combined with dihydropyridine and maleimide skeleton, which brought great potential to build new bioactive chemical entities.

Stachyose ameliorates myocardial ischemia-reperfusion injury by inhibiting cardiomyocyte ferroptosis and macrophage pyroptosis.

Myocardial ischemia-reperfusion injury (MIRI) is a complex pathological process that results from the restoration of blood flow to ischemic myocardium, leading to a series of detrimental effects including oxidative stress and inflammation. Stachyose, a naturally occurring oligosaccharide found in traditional Chinese medicinal herbs, has been suggested to possess therapeutic properties against various pathological conditions. However, its impact on MIRI and the underlying mechanisms have not been fully elucidated. In this study, we aimed to investigate the therapeutic effects of stachyose on MIRI and to uncover the molecular mechanisms involved. Using both in vivo and in vitro models of MIRI, we evaluated the effects of stachyose on cardiac function and cell death pathways. Our results indicate that stachyose significantly improves cardiac function and reduces infarct size in MIRI mice. Mechanistically, stachyose modulates the ferroptotic pathway in cardiomyocytes by upregulating the expression of glutathione peroxidase 4 (GPX4) and reducing lipid peroxides and iron levels. Additionally, stachyose inhibits the pyroptotic pathway in macrophages by downregulating the expression of NLRP3, gasdermin D (GSMD-N), and cleaved-caspase-1, leading to decreased levels of proinflammatory cytokines interleukin (IL)-1ß and IL-18. This study demonstrates that stachyose exerts a protective effect against MIRI by targeting both ferroptosis and pyroptosis pathways, suggesting its potential as a novel therapeutic agent for the treatment of MIRI. Further research is warranted to explore the detailed mechanisms and therapeutic potential of stachyose in clinical settings.

FK4H4-: Planar Tetracoordinate Fluorine Stabilized by Multicenter Ionic Bonding.

Planar tetracoordinate fluorine (ptF) species are very exotic and scarce due to high electronegativity of fluorine. Herein we report the ternary square ptF cluster, D4h FK4H4-, which is composed of a F center, a square K4 ring, and four outer H bridges. It is a true global minimum (GM) structure and possesses good dynamic stability. Bonding analyses indicate that there are four lone pairs for the central F atom, along with four K-H-K three-center two-electron (3c-2e) σ bonds for the peripheral K4H4 ligand ring. The stability of ptF is dominated by multicenter ionic bonds rather than the supposed σ aromaticity of the system. Excitingly, it is a pseudohalogen anion with the VDE 3.57 eV at the CCSD(T) level. The merge of ptF with pseudohalogen anion character makes the FK4H4- cluster an exotic species, which will motivate theoretical and experimental studies on novel ptF species as well as superhalogens.

SMGformer: integrating STL and multi-head self-attention in deep learning model for multi-step runoff forecasting.

Accurate runoff forecasting is of great significance for water resource allocation flood control and disaster reduction. However, due to the inherent strong randomness of runoff sequences, this task faces significant challenges. To address this challenge, this study proposes a new SMGformer runoff forecast model. The model integrates Seasonal and Trend decomposition using Loess (STL), Informer's Encoder layer, Bidirectional Gated Recurrent Unit (BiGRU), and Multi-head self-attention (MHSA). Firstly, in response to the nonlinear and non-stationary characteristics of the runoff sequence, the STL decomposition is used to extract the runoff sequence's trend, period, and residual terms, and a multi-feature set based on 'sequence-sequence' is constructed as the input of the model, providing a foundation for subsequent models to capture the evolution of runoff. The key features of the input set are then captured using the Informer's Encoder layer. Next, the BiGRU layer is used to learn the temporal information of these features. To further optimize the output of the BiGRU layer, the MHSA mechanism is introduced to emphasize the impact of important information. Finally, accurate runoff forecasting is achieved by transforming the output of the MHSA layer through the Fully connected layer. To verify the effectiveness of the proposed model, monthly runoff data from two hydrological stations in China are selected, and eight models are constructed to compare the performance of the proposed model. The results show that compared with the Informer model, the 1th step MAE of the SMGformer model decreases by 42.2% and 36.6%, respectively; RMSE decreases by 37.9% and 43.6% respectively; NSE increases from 0.936 to 0.975 and from 0.487 to 0.837, respectively. In addition, the KGE of the SMGformer model at the 3th step are 0.960 and 0.805, both of which can maintain above 0.8. Therefore, the model can accurately capture key information in the monthly runoff sequence and extend the effective forecast period of the model.

Prediction of Spread Through Air Spaces (STAS) By Intraoperative Frozen Section for Patients with cT1N0M0 Invasive Lung Adenocarcinoma: A Multi-Center Observational Study (ECTOP-1016).

OBJECTIVE: To investigate the value of intraoperative assessment of spread through air spaces (STAS) on frozen sections (FS) in peripheral small-sized lung adenocarcinoma. BACKGROUND: Surgical decision-making based on FS diagnosis of STAS may be useful to prevent local control failure after sublobar resection. METHODS: We conducted a multicenter prospective observational study of consecutive patients with cT1N0M0 invasive lung adenocarcinoma to evaluate the accuracy of FS for the intraoperative detection of STAS. The final pathology (FP) diagnosis of STAS was based on corresponding permanent paraffin sections. RESULTS: This study included 878 patients with cT1N0M0 invasive lung adenocarcinoma. A total of 833 cases (95%) were assessable for STAS on FS. 26.4% of the cases evaluated positive for STAS on FP, whereas 18.2% on FS. The accuracy, sensitivity, and specificity of FS diagnosis of STAS were 85.1%, 56.4%, and 95.4%, respectively, with moderate agreement (κ=0.575). Inter-observer agreement was substantial (κ=0.756) among the three pathologists. Subgroup analysis based on tumor size or consolidation-to-tumor ratio all showed moderate agreement for concordance. After rigorous reassessment of false-positive cases, the presence of artifacts may be the main cause of interpretation errors. Additionally, true positive cases showed more high-grade histological patterns and more advanced p-TNM stages than false negative cases. CONCLUSIONS: This is the largest prospective observational study to evaluate STAS on FS in patients with cT1N0M0 invasive lung adenocarcinoma. FS is highly specific with moderate agreement, but is not sensitive for STAS detection. While appropriately reporting STAS on FS may provide surgeons with valuable information for intraoperative decision-making, better approaches are needed.

Exploring the variations in molecular characteristics of dissolved organic matter driven by aquaculture types.

In recent decades, global aquaculture has expanded rapidly, raising concerns about coastal environmental degradation due to unregulated or poorly regulated discharge of aquaculture tailwater. Despite the crucial role of dissolved organic matter (DOM) in biogeochemical processes and aquatic biodiversity, the influence of aquaculture type on the molecular characteristics of DOM remains largely unexplored. Herein, this study investigated the variations in chemical and spectroscopic properties as well as molecular characteristics and composition of DOM across different aquaculture types including crustacean, fish and shellfish. Our findings revealed notable differences in DOM quantities among different aquaculture types, with crustacean and fish aquaculture water containing higher DOM amount compared to shellfish aquaculture water. This disparity can be attributed to the more frequent formulated feeds of crustacean and fish in contrast to shellfish aquaculture. Furthermore, distinct differences were also observed in the characteristics and composition of DOM among the different aquaculture waters. Specifically, DOM in shellfish aquaculture water exhibited a higher abundance of unsaturated and reduced molecules as well as increased aromaticity compared to the other two aquaculture waters. Conversely, DOM from fish aquaculture water showed a greater contribution from terrestrial origin characterized by elevated levels of plant-based components such as lignin-like and tannin-like compounds. Interestingly, DOM from shellfish aquaculture water contained lower levels of microbial-derived components such as lipid-like and protein-like compounds, likely due to reduced microorganism populations resulting from lower nutrients availability and higher salinity. Overall, these significant variations in characteristics and composition of DOM underscore the potential impacts of aquaculture type on the DOM biogeochemical cycle and the environmental quality in aquatic ecosystems.

Prevalence and factors of physical punishment and psychological aggression toward children under five in Mongolia: an analysis of the 2018 Social Indicator Survey.

BACKGROUND: The global prevalence of violence against children is alarmingly high, with millions facing violent discipline and physical punishment. In Mongolia, domestic violence-related criminal offenses have sharply increased, with a 46.92% surge in the first quarter of 2020 compared to 2019. OBJECTIVE: This study aimed to estimate the prevalence of and identify factors associated with physical punishment and/or psychological aggression experienced by children under 5 years old from their caregivers. METHODS: We used data from the nationally representative 2018 MICS6 dataset. To examine the association between independent and dependent variables, we used multilevel Poisson regression because it provides a better estimate and is more interpretable when the prevalence is relatively high. RESULTS: The prevalence of psychological aggression was reported at 32.3% and physical punishment at 31.6%, including severe forms. Nonviolent techniques were common, with 77.5% exclusively using nonviolent discipline. Psychological aggression was more likely to occur in older children (3 and 4 years old) and in households with Buddhist heads. Additionally, 3-year-olds are more likely to experience physical punishment compared to 2-year-olds. CONCLUSION: These findings underscore the need for targeted policy interventions, including age-sensitive parental education programs and religious and cultural sensitivity measures. Comprehensive educational and awareness programs are essential to foster a culture of nonviolence across all educational levels, highlighting the need for context-specific policies to safeguard the well-being of children in Mongolia.

Main finding The study highlights concerning rates of physical punishment and psychological aggression toward children under five in Mongolia.Added Knowledge The study findings contribute novel insights into the intricate relationship between sociocultural factors and disciplinary practices, emphasizing the influence of religious affiliations and maternal education on child-rearing approaches.Global health impact for policy and action Urgent policy interventions are warranted to address violence against children, with an emphasis on culturally sensitive parental education programs and comprehensive awareness campaigns.

Cancer immunotherapy of Wilms tumor: a narrative review.

Wilms tumor (WT) is the most common malignant tumor of the urinary system in children. Though the traditional treatment of surgery plus radiotherapy and chemotherapy achieves exciting clinical efficacy, in relapsed and refractory cases, the long-term overall survival rates are poor. Besides, chemotherapy and radiation have serious long-term toxic side effects on children. Cancer immunotherapy is a new tumor therapy that works by activating the body's immune system to allow immune cells to kill tumor cells more efficiently. Currently, cancer immunotherapy has been tested in clinical trials or basic studies in WT. This article reviews the current status of clinical trials and basic research of cancer immunotherapy in WT to promote the application of cancer immunotherapy in WT patients.

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Multi-omic analysis identifies metabolic biomarkers for the early detection of breast cancer and therapeutic response prediction.

Reliable blood-based tests for identifying early-stage breast cancer remain elusive. Employing single-cell transcriptomic sequencing analysis, we illustrate a close correlation between nucleotide metabolism in the breast cancer and activation of regulatory T cells (Tregs) in the tumor microenvironment, which shows distinctions between subtypes of patients with triple-negative breast cancer (TNBC) and non-TNBC, and is likely to impact cancer prognosis through the A2AR-Treg pathway. Combining machine learning with absolute quantitative metabolomics, we have established an effective approach to the early detection of breast cancer, utilizing a four-metabolite panel including inosine and uridine. This metabolomics study, involving 1111 participants, demonstrates high accuracy across the training, test, and independent validation cohorts. Inosine and uridine prove predictive of the response to neoadjuvant chemotherapy (NAC) in patients with TNBC. This study deepens our understanding of nucleotide metabolism in breast cancer development and introduces a promising non-invasive method for early breast cancer detection and predicting NAC response in patients with TNBC.

Accurately identifying positive and negative regulation of apoptosis using fusion features and machine learning methods.

Apoptotic proteins play a crucial role in the apoptosis process, ensuring a balance between cell proliferation and death. Thus, further elucidating the regulatory mechanisms of apoptosis will enhance our understanding of their functions. However, the development of computational methods to accurately identify positive and negative regulation of apoptosis remains a significant challenge. This work proposes a machine learning model based on multi-feature fusion to effectively identify the roles of positive and negative regulation of apoptosis. Initially, we constructed a reliable benchmark dataset containing 200 positive regulation of apoptosis and 241 negative regulation of apoptosis proteins. Subsequently, we developed a classifier that combines the support vector machine (SVM) with pseudo composition of k-spaced amino acid pairs (PseCKSAAP), composition transition distribution (CTD), dipeptide deviation from expected mean (DDE), and PSSM-composition to identify these proteins. Analysis of variance (ANOVA) was employed to select optimized features that could yield the maximum prediction performance. Evaluating the proposed model on independent data revealed and achieved an accuracy of 0.781 with an AUROC of 0.837, demonstrating our model's potent capabilities.

Colistin Resistance Mechanisms and Molecular Epidemiology of Enterobacter cloacae Complex Isolated from a Tertiary Hospital in Shandong, China.

Background: Enterobacter cloacae complex (ECC), which includes major nosocomial pathogens, causes urinary, respiratory, and bloodstream infections in humans, for which colistin is one of the last-line drugs. Objective: This study aimed to analyse the epidemiology and resistance mechanisms of colistin-resistant Enterobacter cloacae complex (ECC) strains isolated from Shandong, China. Methods: Two hundred non-repetitive ECC strains were collected from a tertiary hospital in Shandong Province, China, from June 2020 to June 2022. Whole-genome sequencing and bioinformatics analyses were performed to understand the molecular epidemiology of the colistin-resistant ECC strains. The nucleotide sequences of heat shock protein (hsp60) were analyzed by using BLAST search to classify ECC. The gene expression levels of ramA, soxS, acrA, acrB, phoP, and phoQ were assessed using RT-qPCR. MALDI-TOF MS was used to analyse the modification of lipid A. Results: Twenty-three colistin-resistant strains were detected among the 200 ECC clinical strains (11.5%). The hsp60 cluster analysis revealed that 20 of the 23 ECC strains belonged to heterogeneous resistance clusters. Variants of mgrB, phoPQ, and pmrAB, particularly phoQ and pmrB, were detected in the 23 ECC strains. The soxS and acrA genes were significantly overexpressed in all 23 colistin-resistant ECC strains (P < 0.05). Additionally, all 23 ECC strains contained modified lipid A related to colistin resistance, which showed five ion peaks at m/z 1876, 1920, 1955, 2114, and 2158. Among the 23 ECC strains, 6 strains possessed a phosphoethanolamine (pETN) moiety, 16 strains possessed a 4-amino-4-deoxy-L-arabinose (-L-Ara4N) moiety, and one strain had both pETN and -L-Ara4N moieties. Conclusion: This study suggests that diverse colistin resistance existed in ECC, including unknown resistance mechanisms, exist in ECC. Mechanistic investigations of colistin resistance are warranted to optimise colistin use in clinical settings and minimise the emergence of resistance.

Concordance between four PD-L1 immunohistochemical assays and 22C3 pharmDx assay in esophageal squamous cell carcinoma in a multicenter study.

Background: The prediction of response to immunotherapy mostly depends on the programmed death-ligand 1 (PD-L1) immunohistochemistry (IHC) status, and the 22C3 pharmDx assay has been approved in esophageal squamous cell carcinoma (ESCC). However, the widespread use of the 22C3 pharmDx assay is limited due to its availability. Thus, alternative PD-L1 assays are needed. We aimed to investigate the analytical and clinical diagnostic performances of four PD-L1 assays and to compare their concordances with the 22C3 pharmDx assay. Methods: The PD-L1 22C3 pharmDx assay was performed on the Dako Autostainer Link 48 platform, three testing assays (PD-L1 E1L3N XP antibody [Ab], PD-L1 BP6099 Ab and PD-L1 CST E1L3N Ab) on the Leica BOND-MAX/III platform, and one testing assay (PD-L1 MXR006 Ab) on the Roche VENTANA Benchmark Ultra platform. A total of 218 ESCC cases from four centers were included in this retrospective study. Professionals from each center stained and read the IHC slides independently and determined the combined positive score (CPS) and the tumor proportion score (TPS). Results: Regarding analytical performance, the four testing assays demonstrated good correlations with the 22C3 pharmDx assay when evaluated by the TPS or CPS (ρ > 0.8 for all four assays). Regarding diagnostic performance (CPS ≥ 10 was used as the cutoff), the four testing assays showed moderate concordances with the 22C3 pharmDx assay (kappa > 0.7 for all four assays). The overall percent agreements between each testing assay and the 22C3 pharmDx assay was at least 87.2 %. Conclusion: This study provides insight into the potential interchangeability of the four PD-L1 assays with the 22C3 pharmDx assay.

Effect of maternal knowledge of asthma management on quality of life and asthma control among children with asthma: a cross-sectional study.

OBJECTIVE: This study aimed to evaluate the effect of mothers' knowledge about asthma management on quality of life and asthma control among children with asthma in Palestine. METHODS: This cross-sectional study was carried out by mothers of children with asthma in Palestine in four major public hospitals. Mothers of a total of 220 were selected randomly via a computerized system. Data were collected using Pediatric Asthma Quality of Life (PAQLQ), an Asthma Control Test (ACT), and the mothers' Self-Practices and Knowledge (SPK) of asthma management questionnaire. Statistical analysis was performed using SPSS (V25). RESULTS: A total of 220 mothers of children with asthma were randomly selected and invited to participate but 182 agreed to participate, with a response rate of 83%. The mean age of participant children was 9.7 ± 2.72 years, and the mean age of mothers was 34.5 ± 9.6 years. The mean score of the QoL was 3.91(SD ± 1.61) out of 7. Most participant children had uncontrolled asthma with a total mean score of 14.13(SD ± 5.23) on the ACT. The mean score of mothers' SPK level was 2.12(SD ± 0.83) with a total mean score of 42.13 ± 3.68 out of 68, which indicated a moderate level of knowledge and there was a strong correlation between mothers' SPK and children's QoL. CONCLUSIONS: The investigation showed that mothers of children with asthma had moderate SPK, and the children had uncontrolled asthma with poor QoL. These findings suggest developing educational initiatives to enhance parents' asthma-related knowledge and skills to improve their children's asthma-related quality of life and asthma control.

Isolation and characterization of lytic bacteriophage vB_KpnP_23: A promising antimicrobial candidate against carbapenem-resistant Klebsiella pneumoniae.

The global health threat posed by carbapenem-resistant Klebsiella pneumoniae (CRKP) is exacerbated by the limited availability of effective treatments. Bacteriophages are promising alternatives to conventional antimicrobial agents. However, current phage databases are limited. Thus, identifying and characterizing new phages could provide biological options for the treatment of multi-drug resistant bacterial infections. Here, we report the characterization of a novel lytic phage, vB_KpnP_23, isolated from hospital sewage. This phage exhibited potent activity against carbapenemase-producing CRKP strains and was characterised by an icosahedral head, a retractable tail, and a genome comprising 40,987 base pairs, with a G + C content of 51 %. Capable of targeting and lysing nine different capsule types (K-types) of CRKP, including the clinically relevant ST11-K64, it demonstrated both high bacteriolytic efficiency and stability in various environmental contexts. Crucially, vB_KpnP_23 lacks virulence factors, antimicrobial resistance genes, or tRNA, aligning with the key criteria for therapeutic application. In vitro evaluation of phage-antibiotic combinations revealed a significant synergistic effect between vB_KpnP_23 and meropenem, levofloxacin, or amikacin. This synergy could lead to an 8-fold reduction in the minimum inhibitory concentration (MIC), suggesting that integrated treatments combining this phage with the aforementioned antibiotics may substantially enhance drug effectiveness. This approach not only extends the clinical utility of these antibiotics but also presents a strategic advance in combating antibiotic resistance. Specifically, it underscores the potential of phage-antibiotic combinations as a powerful tool in the treatment of infections caused by CRKP, offering a promising avenue to mitigate the public health challenges of antibiotic-resistant pathogens.

Reverse Solute Diffusion Enhances Sludge Dewatering in Dead-End Forward Osmosis.

Wastewater treatment plants produce high quantities of excess sludge. However, traditional sludge dewatering technology has high energy consumption and occupies a large area. Dead-end forward osmosis (DEFO) is an efficient and energy-saving deep dewatering technology for sludge. In this study, the reverse osmosis of salt ions in the draw solution was used to change the sludge cake structure and further reduce its moisture content in cake by releasing the bound water in cell. Three salts, NaCl, KCl, and CaCl2, were added to the excess sludge feed solution to explore the roles of the reverse osmosis of draw solutes in DEFO. When the added quantities of NaCl and CaCl2 were 15 and 10 mM, respectively, the moisture content of the sludge after dewatering decreased from 98.1% to 79.7% and 67.3%, respectively. However, KCl did not improve the sludge dewatering performance because of the "high K and low Na" phenomenon in biological cells. The water flux increased significantly for the binary draw solute involving NaCl and CaCl2 compared to the single draw solute. The extracellular polymer substances in the sludge changed the structure of the filter cake to improve the formation of water channels and decrease osmosis resistance, resulting in an increase in sludge dewatering efficiency. These findings provide support for improving the sludge dewatering performance of DEFO.