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Taking inspiration from diverse interlocking and adhesion structures found in nature, a biaxially interlocking interface is developed in this work. This interface is formed by interconnecting two electrostatically flocked substrates and its mechanical strength is enhanced through the incorporation of enoki‐mushroom‐shaped microfibers and deposited extracellular matrix (ECM). Tips of flocked straight fibers can be transformed into mushroom shapes through thermal treatment. The tensile strength of interlocked scaffolds with mushroom‐shaped tips drastically increases when compared to scaffolds made of straight fibers, which is not reported previously. More cells proliferate within interlocked scaffolds with mushroom‐shaped tips than scaffolds with straight fibers. Additionally, the mechanical strength (e.g., compressive, tensile, and shear) of cell‐seeded interlocked scaffolds increases proportionally to the amount of ECM deposited by dermal fibroblasts. The biaxially interlocking interface developed in this study holds promise for applications in engineering interfacial tissues, modeling tissue interfaces, investigating tissue–tissue interactions, and facilitating tissue bridging or binding. [ABSTRACT FROM AUTHOR]

Background: Cardiopulmonary resuscitation (CPR) is the cornerstone intervention for cardiac arrest, with extracorporeal CPR (ECPR) demonstrating enhanced survival and neurologic outcomes in in‐hospital cardiac arrest. This study explores the time interval between CPR initiation and the onset of extracorporeal membrane oxygenation (ECMO) in ECPR recipients, investigating its impact on survival outcomes. Methods: This retrospective analysis included 1950 adults who received CPR at a single medical center between March 2019 and April 2023. Data from 198 adult patients who had ECMO inserted during CPR were analyzed. The interval from CPR initiation to ECMO initiation was quantified and categorized as ≤20, 20–40, and >40 min. Cox regression analysis assessed associations between CPR‐to‐ECMO time and short‐ and long‐term mortalities. Results: Among the 198 patients who underwent ECPR, 116 (58.6%) experienced 30‐day mortality. Initiation of ECMO within 20 min occurred in 46 (23.2%), whereas 74 (37.4%) had ECMO initiated after 40 min. Cox regression revealed a significant association between time from CPR to ECMO initiation and 30‐day mortality (adjusted hazard ratio [HR]: 2.20 in >40 min, HR: 2.63 in 20–40 min, p = 0.006) and 6‐month mortality (HR: 1.81, in >40 min, HR: 1.99 in 20–40 min, p = 0.021). Conclusions: This study revealed that, in ECPR recipients, a shorter duration between CPR initiation and ECMO flow commencement is associated with improved short‐ and long‐term patient prognoses. These findings emphasize the critical role of timely ECMO application in optimizing outcomes for patients undergoing ECPR. [ABSTRACT FROM AUTHOR]

How families function plays a central role in individuals' self-management of Type 2 diabetes (T2DM) and prediabetes (preDM; Baig et al., 2015; Lee et al., 2017; Rintala et al., 2013). [...], Introduction: How families function and provide support plays a central role in patients' self-management of Type 2 diabetes (T2DM) and prediabetes (preDM). Families would benefit from communication training, which is rarely incorporated into diabetes self-management education (DSME). Mothers are especially in need of this support. Women are at a higher risk of T2DM, and when mothers are patients, they can prioritize their family role and family's well-being over their personal needs as a patient. Method: To identify family communication that affects mothers' ability to self-manage T2DM/preDM, we interviewed 17 mothers aged 36-64 (M = 56). Transcripts were thematically analyzed. Results: Women described four family communication experiences affecting self-care: (a) family-of-origin communication (e.g., weight/diet messages during childhood), (b) communal coping communication (e.g., adopting healthy behaviors as a family), (c) communication inhibiting communal coping (e.g., negative response to mothers' lifestyle changes), and (d) mothers taking the lead (e.g., leading conversations or communicating control over family's lifestyle decisions). Discussion: Findings highlight the need for a family systems approach to DSME. Communication from multiple bonds (e.g., spouse, children) and past family-of-origin experiences impact self-care. Communal coping (appraising diabetes as "our" problem) was critical to self-management as mothers struggled to balance their needs with family members' preferences/attitudes. When not supported, mothers who took the lead communicatively could facilitate communal coping or prioritize self-care needs. Findings can inform a family-centered approach to DSME that highlights the importance of communal coping, provides all members communication skills training, and addresses the need for mothers to prioritize personal well-being. Public Significant Statement This study illustrates how family communication (across relationships and generations) is central to mothers' ability to self-manage T2DM or pre-DM, demonstrating the need for diabetes self-management education to be family-centered. Mothers struggle to balance their own disease management needs with the preferences of their family members with regard to diet and exercise habits. When families communally cope together, mothers' ability to manage T2DM/pre-DM is enhanced. When families do not cope together, it is important that mothers take the lead in making lifestyle changes they need to promote better disease management. Keywords: diabetes management, family communication, communal coping, mother

Orthotospovirus tomatomaculae (tomato spotted wilt virus, TSWV) is transmitted by the western flower thrips, Frankliniella occidentalis. Epoxyoctadecamonoenoic acids (EpOMEs) function as immune-suppressive factors, particularly in insects infected by viral pathogens. These oxylipins are produced by cytochrome P450 monooxygenases (CYPs) and are degraded by soluble epoxide hydrolase (sEH). In this study, we tested the hypothesis that TSWV modulates the EpOME level in the thrips to suppress antiviral responses and enhance its replication. TSWV infection significantly elevated both 9,10-EpOME and 12,13-EpOME levels. Following TSWV infection, the larvae displayed apoptosis in the midgut along with the upregulated expression of four caspase genes. However, the addition of EpOME to the viral treatment notably reduced apoptosis and downregulated caspase gene expressions, which led to a marked increase in TSWV titers. The CYP and sEH genes of F. occidentalis were identified, and their expression manipulation using RNA interference (RNAi) treatments led to significant alternations in the insect's immune responses and TSWV viral titers. To ascertain which viral factor influences the host EpOME levels, specialized RNAi treatments targeting genes encoded by TSWV were administered to larvae infected with TSWV. These treatments demonstrated that NSS expression is pivotal in manipulating the genes involved in EpOME metabolism. These results indicate that NSs of TSWV are crucially linked with the elevation of host insect EpOME levels and play a key role in suppressing the antiviral responses of F. occidentalis. [ABSTRACT FROM AUTHOR]

Background and Objective: Lung transplantation is the only life-extending therapy for end-stage pulmonary disease patients, but its risks necessitate an understanding of outcome predictors, with the frailty index and nutritional status being key assessment tools. This study aims to evaluate the relationship between preoperative frailty and nutritional indexes and the postoperative mortality rate in patients receiving lung transplants, and to determine which measure is a more potent predictor of outcomes. Materials and Methods: This study reviewed 185 adults who received lung transplants at a single medical center between January 2013 and May 2023. We primarily focused on postoperative 7-year overall survival. Other outcomes measured were short-term mortalities, acute rejection, kidney complications, infections, and re-transplantation. We compared the predictive abilities of preoperative nutritional and frailty indicators for survival using receiver operating characteristic curve analysis and identified factors affecting survival through regression analyses. Results: There were no significant differences in preoperative nutritional indicators between survivors and non-survivors. However, preoperative frailty indicators did differ significantly between these groups. Multivariate analysis revealed that the American Society of Anesthesiologists Class V, clinical frailty scale, and Charlson Comorbidity Index (CCI) were key predictors of 7-year overall survival. Of these, the CCI had the strongest predictive ability with an area under the curve of 0.755, followed by the modified frailty index at 0.731. Conclusions: Our study indicates that for critically ill patients undergoing lung transplantation, frailty indexes derived from preoperative patient history and functional autonomy are more effective in forecasting postoperative outcomes, including survival, than indexes related to preoperative nutritional status. [ABSTRACT FROM AUTHOR]

This study developed and validated a machine learning model to accurately predict acute kidney injury (AKI) after non-cardiac surgery, aiming to improve patient outcomes by assessing its clinical feasibility and generalizability. We conducted a retrospective cohort study using data from 76,032 adults who underwent non-cardiac surgery at a single tertiary medical center between March 2019 and February 2021, and used data from 5512 patients from the VitalDB open dataset for external model validation. The predictive variables for model training consisted of demographic, preoperative laboratory, and intraoperative data, including calculated statistical values such as the minimum, maximum, and mean intraoperative blood pressure. When predicting postoperative AKI, our gradient boosting machine model incorporating all the variables achieved the best results, with AUROC values of 0.868 and 0.757 for the internal and external validations using the VitalDB dataset, respectively. The model using intraoperative data performed best in internal validation, while the model with preoperative data excelled in external validation. In this study, we developed a predictive model for postoperative AKI in adult patients undergoing non-cardiac surgery using preoperative and intraoperative data, and external validation demonstrated the efficacy of open datasets for generalization in medical artificial modeling research. [ABSTRACT FROM AUTHOR]

Accidents on gas pipelines cause significant damage to the national economy and the economy of the state. Thus, it is necessary to always be prepared for such situations in order to restore the normal operation of the gas pipeline as soon as possible. An important role is played by the execution time of the control actions to localize the accident, pump out the gas, and change the operating modes. It is essential that such control be undertaken, especially if such a situation occurs near a gas-measuring installation for measuring the amount of vented gas. Therefore, the control actions must be error-free in order to quickly stop the non-stationary process, which can lead to undesirable consequences. The paper presents a mathematical model of the operation of the pipeline, developed for the management of the pipeline in an emergency. The analysis of the problem of the occurrence of accidents was carried out, and the effect of liquid on its walls was modeled when the operating mode of the pipeline changed. An example is presented using a numerical model carried out in ANSYS, as well as being analyzed analytically. The results of the calculations are presented, and special attention is paid to the parameters influencing the change in the operating mode of the pipeline.

Pralidoxime chloride, a highly hydrophilic antidote, cannot be effectively separated by reverse-phase high-performance liquid chromatography (RP-HPLC), unless the mobile-phase composition is varied. However, the use of ion-pairing reagents for pralidoxime separation is hindered by the persistent contamination of the stationary phase or chromatography system inside the HPLC system. Thus, this study aimed to develop a simple, rapid, and robust method based on RP-HPLC to determine pralidoxime chloride in antidote autoinjectors using a chaotropic salt as the mobile-phase additive. The use of UV detection at 270 nm allowed for the simultaneous detection of pralidoxime chloride and the internal standard, pyridine-2-aldoxime. The addition of chaotropic salts (NaPF6, NaBF4, and NaClO4) and an ionic liquid ([EMIM]PF6) increased the retention time of pralidoxime chloride. Among them, NaPF6 exhibited the highest capacity factor in the reverse-phase C18 column. Increasing the salt concentration increased the capacity factor and the number of theoretical plates. Analytical method validation was performed to assess the linearity, accuracy, precision, recovery, and repeatability, according to the Ministry of Food and Drug Safety guidelines. Additionally, this newly developed method exhibits an adequate separation capability, making it a potential substitute for the current method employed in the United States/Korean Pharmacopoeia, and it ensures the necessary durability to maintain the robustness and reliability of the analytical system. [ABSTRACT FROM AUTHOR]

Compressed air energy storage in porous media (PM-CAES) has recently been suggested as a promising alternative to existing CAES plants. PM-CAES incurs repetitive two-phase fluid flow caused by the cyclic injection and withdrawal of air to/from the porous medium that is initially saturated with the formation water during the operation. Therefore, predicting the overall macro-scale performance of porous media for energy storage requires a better understanding of repetitive two-phase fluid flow in the pore network at the fundamental pore-scale level. To answer this need, we conducted an experimental study using the microfluidics technology; we constructed polydimethylsiloxane (PDMS)-based micromodels with two different geometries (Type I: circular solids and Type II: square solids) and three different structural heterogeneities (coefficient of variation: COV=0, 0.25 and 0.5). Then, we applied a total of ten injection-withdrawal cycles to each micromodel (i.e., ten cyclic drainage-imbibition processes) at different flow rate conditions (Q=0.01 and 0.1 ml/min). It was observed that the displacement patterns of the initially residing fluid (wetting fluid; oil in this study) and the injected fluid (non-wetting fluid; water in this study) were greatly influenced by the geometry and heterogeneity of the pore structure, and imposed flow rate. Results such as the effective sweep efficiency and residual saturation of the non-wetting fluid were analyzed at each drainage-imbibition cycle to aid in understanding the impact of repetitive fluid flow. The experimental observations imply that the flow rate and structural heterogeneity may influence the efficiency of PM-CAES more than the pore geometry does.