Datasheet1_Machine learning-based predictor for neurologic outcomes in patients undergoing extracorporeal cardiopulmonary resuscitation.docx

BackgroundWe investigated the predictors of poor neurological outcomes in extracorporeal cardiopulmonary resuscitation (ECPR) patients using machine learning (ML) approaches.MethodsThis study was a retrospective, single-center, observational study that included adult patients who underwent ECPR while hospitalized between January 2010 and December 2020. The primary outcome was neurologic status at hospital discharge as assessed by the Cerebral Performance Categories (CPC) score (scores range from 1 to 5). We trained and tested eight ML algorithms for a binary classification task involving the neurological outcomes of survivors after ECPR.ResultsDuring the study period, 330 patients were finally enrolled in this analysis; 143 (43.3%) had favorable neurological outcomes (CPC score 1 and 2) but 187 (56.7%) did not. From the eight ML algorithms initially considered, we refined our analysis to focus on the three algorithms, eXtreme Gradient Boosting, random forest, and Stochastic Gradient Boosting, that exhibited the highest accuracy. eXtreme Gradient Boosting models exhibited the highest accuracy among all the machine learning algorithms (accuracy: 0.739, area under the curve: 0.837, Kappa: 0.450, sensitivity: 0.700, specificity: 0.740). Across all three ML models, mean blood pressure emerged as the most influential variable, followed by initial serum lactate, and arrest to extracorporeal membrane oxygenation (ECMO) pump-on-time as important predictors in machine learning models for poor neurological outcomes following successful ECPR.ConclusionsIn conclusion, machine learning methods showcased outstanding predictive accuracy for poor neurological outcomes in patients who underwent ECPR.</p

DETERMINANTS OF PORK DEMAND FUNCTION BY VARIANCE INFLATION AND STEPWISE METHOD IN SOUTH KOREA.

<p>As trade barriers are collapsed by result of trade liberalization, competition of global pork market has been accelerated by each country. Since pork is the most consuming meat in South Korea, analysis of determinants to pork consumption is a good indicator in decision making of pork producers, distributors and consumers. In addition, it is useful for 6th industrialization combing production, processing and sales of pig. The predictive power on determinants for consumption of domestic pork (CDP) was confirmed by variance inflation factor and stepwise selection methods. We selected seven and four variables, respectively, depending on the both methods for examination of CDP determinants. Production and beginning stocks of domestic pork had the greatest influence on CDP and a positive relation with each other (P<0.01). However, CDP had a negative relationship between consumer price of Hanwoo beef and chicken meat. As this result is a different pattern from general economic theory, it is considered that the situation is owing to characteristic of meat consumption concentrated in summer at South Korea.</p

Additional file 1 of Cardiovascular outcomes between COVID-19 and non-COVID-19 pneumonia: a nationwide cohort study

Additional file 1: Appendix 1. International Classification of Diseases, 10th Revision codes used for the identification of pneumonia due to pathogens other than the severe acute respiratory syndrome coronavirus 2. Appendix 2. Outcome definitions

Mesoporous Acidic SiO₂–Al₂O₃ Support Boosts Nickel Hydrogenation Catalysis for H₂ Storage in Aromatic LOHC Compounds

Transition-metal catalysts are essential to realize a liquid organic hydrogen carrier (LOHC) system based on reversible hydrogenation and dehydrogenation. To attain comparable hydrogenation activity to noble metal catalysts mainly used so far, catalyst constituents need to be blended together toward improved adsorption and kinetics. For nickel catalysis in the hydrogenation of aromatic LOHC (monobenzyltoluene), mesoporous SiO2–Al2O3 (MSA) supports are herein prepared by solvent-deficient precipitation using aluminum isopropoxide and alkyltriethoxysilane (CnTES, in which n = 3, 8, and 18). Although Ni particle sizes are similar in all of the prepared catalysts, the hydrogenation activity of Ni/MSA_CnTES is in a volcano-shaped relationship with the length of the alkyl substituent of CnTES, where Ni/MSA_C8TES shows 2-fold superior activity to the Ni catalyst supported on mesoporous alumina. The observed volcano trend is attributed to the adsorption of aromatic substrates affected by Lewis acidity and, more significantly, the adsorption of hydrogen on the Ni species located in the vicinity of the mixed SiO2–Al2O3 domains having Brønsted acidic protons for promoted H2 spillover. Moreover, the mesopores of MSA_CnTES contribute to the facile transport of the reactant and the product. Therefore, these catalyst characteristics would be well balanced in single Ni catalyst bodies for boosted LOHC hydrogenation performance

Ultralow Subthreshold Swing 2D/2D Heterostructure Tunneling Field-Effect Transistor with Ion-Gel Gate Dielectrics

Two-dimensional (2D) transition-metal dichalcogenide (TMD) semiconductors are promising materials for realizing band-to-band tunneling devices owing to the atomically thin layer and abrupt interface of their heterostructures. In this study, we transferred scalable few-atomic-layer thin films using metal-organic chemical vapor deposition (MOCVD)-grown molybdenum disulfide (MoS2) as an n-channel and CVD-grown molybdenum ditelluride (MoTe2) and tungsten diselenide (WSe2) as p-channels to build van der Waals vertical heterostructures. The heterostructures of intrinsic MoS2 and MoTe2 (or WSe2), each having n-type, ambipolar, or high p-type conductivity, were suitable for tunneling field-effect transistor (TFET) applications. We measured the electrical transport properties of the MoS2/MoTe2 (or WSe2) heterostructures using an ion-gel top gate. The fabricated TFET with MoS2/MoTe2 (or WSe2) heterostructures exhibits a subthreshold swing as low as 9.1 (or 7.5) mV/dec. The negative differential transconductance, negative differential resistance, and temperature-dependent I–V characteristics demonstrate the band-to-band tunneling process. The findings have significant potential for applications in the large-area production of next-generation wearable, stretchable, and flexible low-power electronic devices

Multivariate-adjusted odds ratios (ORs) of late age-related macular degeneration (AMD) for reproductive risk factors in postmenopausal women in the KNHANES 2010–2012.

<p>CI = confidence interval; OCP = oral contraceptive pills.</p>a<p>Total years of experience.</p>b<p>Final multivariate model consisted of risk factors of p value<0.05.</p

Data_Sheet_1_Overt disseminated intravascular coagulation and antithrombin III predict bleeding and in-hospital mortality in patients undergoing extracorporeal membrane oxygenation.docx

BackgroundLimited data are available on the relationship of disseminated intravascular coagulation (DIC) with mortality in patients receiving extracorporeal membrane oxygenation (ECMO). Thus, we investigated the association of DIC score and antithrombin (AT) III with clinical outcomes in patients undergoing ECMO.MethodsWe analyzed 703 patients who underwent ECMO between January 2014 and May 2022 at Samsung Medical Center. The DIC score was calculated using laboratory findings within 24 h of the ECMO initiation, and ≥ 5 was defined as overt DIC. In addition, the AT III level was measured to identify the correlation with the DIC score.ResultsAmong the study patients, 169 (24.0%) were diagnosed with overt DIC (DIC group) during early maintenance therapy. In-hospital mortality was significantly higher in the DIC group than in the non-DIC group (55.0% vs. 36.5%, p ConclusionOvert DIC was associated with higher in-hospital mortality and a tendency to bleed in ECMO patients. Furthermore, AT III plasma levels can easily predict overt DIC in patients undergoing ECMO. These findings suggest that monitoring AT III plasma levels may be important in the management of ECMO.</p

Demographics of postmenopausal women aged ≥50 years by the type of age-related macular degeneration (AMD) in the KNHANES 2010–2012.

<p>OCP = oral contraceptive pills; HRT = hormone replacement therapy.</p>a<p>Comparison with no AMD group, not adjusted for any covariate.</p

Age-adjusted odds ratios (ORs) of age-related macular degeneration (AMD) for reproductive risk factors in postmenopausal women in the KNHANES 2010–2012.

<p>CI = confidence interval; OCP = oral contraceptive pills; HRT = hormone replacement therapy.</p>a<p>Total years of experience.</p

Age-based stratification of postmenopausal women aged ≥50 years in the KNHANES 2010–2012.

<p>AMD = age-related macular degeneration; OCP = oral contraceptive pills; HRT = hormone replacement therapy.</p>a<p>Age in years.</p>b<p>General linear model for complex samples.</p>c<p>Pearson’s chi-square test for complex samples.</p