High CC Research Articles

Characterization of structural and mechanical properties of DLC films deposited on the surface of minute-scale 3D objects: Changes in the incident behavior of carbon ions

Diamond-like carbon (DLC) films have attracted great interest from the industry because they have beneficial mechanical properties such as low friction, high hardness, and wear resistance. DLC films have been used for the surface modification of various mechanical components, although many components that require surface treatments have complex three-dimensional (3D) surface structures. To date, 3D deposition of DLC films remains difficult using conventional methods. Particularly, uniform deposition technology on 3D components has not been developed for tetrahedral amorphous carbon (ta-C) films, which possess high CC sp3 bonds with high hardness. In this study, the filtered cathodic vacuum arc (FCVA) method was used to synthesize ta-C films on Si substrates placed on the sidewalls of trench-shaped and one-side tilted samples at various tilt angles and investigated their microstructure and hardness by Raman spectroscopy and nanoindentation. The results showed that the G peak position, full width at half maximum of G peak (FWHM (G)), and hardness of the ta-C film on the trench sidewall decreased as the depth from the top surface increased, similar to previous research. In contrast, ta-C films deposited on one-side tilted sample showed little depth dependence, and the film properties were determined by the tilt angle. We revealed that the film property dependence on the trench depth direction is due to the sputtered particles from the opposing trench sidewalls, resulting in graphitization of the film.

Tongue color parameters in predicting the degree of coronary stenosis: a retrospective cohort study of 282 patients with coronary angiography.

This retrospective cohort study aimed to analyze the relationship between tongue color and coronary artery stenosis severity in 282 patients after underwent coronary angiography. A retrospective cohort study was conducted to collect data from patients who underwent coronary angiography in the Department of Cardiology, Shanghai Jiading District Central Hospital from October 1, 2023 to January 15, 2024. All patients were divided into four various stenosis groups. The tongue images of each patient was normalized captured, tongue body (TC_) and tongue coating (CC_) data were converted into RGB and HSV model parameters using SMX System 2.0. Four supervised machine learning classifiers were used to establish a coronary artery stenosis grading prediction model, including random forest (RF), logistic regression, and support vector machine (SVM). Accuracy, precision, recall, and F1 score were used as classification indicators to evaluate the training and validation performance of the model. SHAP values were furthermore used to explore the impacts of features. This study finally included 282 patients, including 164 males (58.16%) and 118 females (41.84%). 69 patients without stenosis, 70 patients with mild stenosis, 65 patients with moderate stenosis, and 78 patients with severe stenosis. Significant differences of tongue parameters were observed in the four groups [TC_R (P = 0.000), TC_G (P = 0.003), TC_H (P = 0.001) and TC_S (P = 0.024),CC_R (P = 0.006), CC_B (P = 0.023) and CC_S (P = 0.001)]. The SVM model had the highest predictive ability, with AUC values above 0.9 in different stenosis groups, and was particularly good at identifying mild and severe stenosis (AUC = 0.98). SHAP value showed that high values of TC_RIGHT_R, low values of CC_LEFT_R were the most impact factors to predict no coronary stenosis; high CC_LEFT_R and low TC_ROOT_H for mild coronary stenosis; low TC_ROOT_R and CC_ROOT_B for moderate coronary stenosis; high CC_RIGHT_G and low TC_ROOT_H for severe coronary stenosis. Tongue color parameters can provide a reference for predicting the degree of coronary artery stenosis. The study provides insights into the potential application of tongue color parameters in predicting coronary artery stenosis severity. Future research can expand on tongue features, optimize prediction models, and explore applications in other cardiovascular diseases.

Spatial variation in the optical and molecular properties of dissolved organic matter in the Yellow Sea and East China Sea

Marine dissolved organic matter (DOM) plays a crucial role in the global carbon cycle. Carbon cycling in marginal seas is highly complex because it is regulated by numerous source-sink processes. Here, we investigated the spatial variability of the bulk, optical properties, and molecular compositions of DOM in the Yellow Sea (YS) and East China Sea (ECS) and its influencing factors. The DOM in the study area was dominated by protein-like component, highly unsaturated and phenolic compounds, and CHO formulas. The dissolved organic carbon (DOC), chromophoric DOM, and fluorescent DOM decreased with increasing salinity and depth, and within the three regions they were ordered: northern YS > southern YS > ECS. Due to the greater influence of anthropogenic inputs and phytoplankton production in the YS, it contained significantly more heteroatomic compounds and labile compounds (aliphatic, peptide-like, and sugar-like compounds) than the ECS. Moreover, unlike in the open ocean, none of the compound categories exhibited significant variability with depth in these shelf seas. Redundancy analysis suggested that dilution was a main factor determining the spatial distributions of DOM. The polycyclic aromatics and polyphenolics decreased in the seaward direction, but they were still present offshore, indicating they contributed to the open-ocean carbon pool. Anthropogenic inputs obscured potential correlations among the labile compounds and salinity and phytoplankton production. In addition, compounds with high molecular weights and low unsaturated CC functionalities were preserved during the carbon cycle, due to their recalcitrant nature. By providing optical and molecular data, this study helps to better understand the biogeochemical cycling of DOM in marginal seas.

Связь раннего образовательного и семейного опыта с академическими результатами детей в младшем школьном возрасте

<p>This article focuses on the issues of low academic results. Research on the role of children’s early educational experiences highlights the important role of kindergartens, socioeconomic status (SES[1]), cultural capital (CC[2]), and other family characteristics for future educational outcomes. The goal of this paper is to investigate the relationship of SES and CC with academic achievement of children in elementary school, using a sample of 5235 students of the first (<em>n</em>=2574) and fourth (<em>n</em>=2661) grades of secondary schools from the Nizhny Novgorod region of Russia. The academic results were measured using the “Start” and “Progress” tests; the information about family and educational experiences was collected using family surveys. The results suggest that children with low academic achievement typically reside in in rural areas and mostly come from families with low SES. The results indicated that in the fourth grade, the academic results of the children who didn´t attend a kindergarten are higher than the results of the children who did. Nevertheless, this result refers only to a sample of fourth graders with medium and high academic achievement, coming from families with high SES and CC. These results contradict the findings from Russian and foreign studies on the role of early educational experiences. Therefore, the results from this study should be interpreted with caution and require additional rigorous examination. [1] Socio-economic status includes such indicators as level of education of parents, place of residence, family wealth, etc. [17; 19]. [2] Cultural capital includes social attitudes, values, knowledge and educational qualifications [10].</p>

Hydration mechanism of calcium chloride modified coal gasification slag-based backfill materials

To address the environmental pollution and resource wastage caused by the massive stockpiling of coal gasification slag (CGS), in this study, chlorine salt (CaCl2, CC) was adopted to stimulate the potential volcanic ash activity of CGS and to prepare a new modified CGS-based cementitious backfill material (MC-CPB). The optimum CC admixture was determined by comparing the compressive strength, and the effect of different admixtures on the strength of the MC-CPB was investigated. The effects of the CC content on the hydration properties and the composition and the micro-morphology of the hydration products of the MC-CPB were analyzed using hydration heat, X-ray diffraction (XRD), scanning electron microscopy (SEM), and thermogravimetry (TG) analyses. It was found that the addition of CC promoted the early and mid-strength of the MC-CPB, but an excessive amount of CC (>1%) inhibited the development of the strength in the later stages. A concentration of 1% CC had the best effect on the strength of the MC-CPB in the entire age range, increasing the compressive strength from 3 to 90 days by 65.8%, 56.1%, 80.6%, 30.9%, and 31% compared to the control group. The CC accelerated the hydration reaction process of the MC-CPB by shortening the durations of the induction and acceleration periods, and it enhanced the hydration reaction intensity of the MC-CPB by increasing the second release heat peak and forming a third release heat peak. The MC-CPB sample containing CC generated a new hydration product, Friedel’s salt, which increased the compactness of the matrix and thus improved the compressive strength of the sample. However, excessive addition of CC reduced the amount of Ettringite (AFt) generated in the later stage, leading to a decrease in the strength of the high CC content samples in the later stage. The results of this study promote the large-scale and resourceful use of CGS in mine backfill and provide a theoretical basis for the field proportioning design and industrial application of MC-CPB for backfill.

Analysis of unsaturated fatty acids by supercritical fluid chromatography tandem mass spectrometry coupled with online Paternò-Büchi reaction

Carbon double bond (CC) positions in unsaturated fatty acids (UFAs) can be identified based on Paternò-Büchi (PB) reaction coupled with mass spectrometry (MS). However, achieving a high conversion rate and confusing mass spectrum are still challenging. In this study, an online PB reaction coupled with supercritical fluid chromatography-mass spectrometry (SFC-MS), using a homemade flow microreactor, was established to analyze CC bonds in UFAs, and benzaldehyde (BA) was proposed as the optimized reagent. Benefiting from this setup, both prototype and product ions of FAs can be rapidly captured at the same retention time, significantly enhancing the accuracy of lipid identification, especially when dealing with complex compounds. Furthermore, a high CC bond conversion rate was achieved, ranging from 53 to 67 %. Additionally, this strategy demonstrated excellent relative quantification abilities, which were based on the ratios of either the sum of diagnostic ions or the individual diagnostic ions. This novel approach was proposed and applied for the specific recognition of free FA in human plasma, which successfully provides quantitative information about UFA isomers. This strategy is believed to hold promise for the analysis of unsaturated lipid isomers in complex biological samples.

Sensitivity of coupled cluster electronic properties on the reference determinant: Can Kohn-Sham orbitals be more beneficial than Hartree-Fock orbitals?

Coupled cluster calculations are traditionally performed over Hartree-Fock reference orbitals (HF-CC methodology). However, in the literature it has been repeatedly raised whether the use of a Kohn-Sham reference (KS-CC methodology) might result in improved performance relative to HF-CC. In the present study, we re-examine the relation of HF-CC and KS-CC methods by comparing the results of widely applied truncated CC calculations (CCSD, CCSD(T), CCSDT) to the limit of full configuration interaction (FCI), which serves as an undebatable reference point of accuracy. Based on a series of CC calculations on diatoms and transition metal complexes, we demonstrate that no systematic improvement of coupled cluster electronic energies, densities and chemical reaction energies is expected when changing from HF to a KS reference. Nevertheless, fortuitous error cancellations might occasionally result in illusory improvement compared to HF-CC. Altogether, the application of KS-CC is not advantageous over HF-CC, but it is also not unreasonable as the choice of reference has negligible influence on the results at sufficiently high CC levels. In addition, KS-CC can be a particularly useful alternative if difficulties are encountered in HF or HF-CC convergence. It is also notable that KS-CC results are found to be practically independent of the chosen density functional, which implies that almost any KS-CC method can be used in place of HF-CC.

Assessing the Performance of the Satellite-Based Precipitation Products (SPP) in the Data-Sparse Himalayan Terrain

Located on the south-facing slope of the Himalayas, Nepal receives intense, long-lasting precipitation during the Asian summer monsoon, making Nepal one of the most susceptible countries to flood and landslide hazards in the region. However, sparse gauging and irregular measurement constrain the vulnerability assessments of floods and landslides, which rely highly on the accuracy of precipitation. Therefore, this study evaluates the performance of Satellite-based Precipitation Products (SPPs) in the Himalayas region by comparing different datasets and identifying the best alternative of gauge-based precipitation for hydro-meteorological applications. We compared eight SPPs using statistical metrics and then used the Multi-Criteria Decision-Making (MCDM) technique to rank them. Secondly, we assessed the hydrological utility of SPPs by simulating them through the GR4J hydrological model. We found a high POD (0.60–0.80) for all SPPs except CHIRPS and PERSIANN; however, a high CC (0.20–0.40) only for CHIRPS, IMERG_Final, and CMORPH. Based on MCDM, CMORPH and IMERG_Final rank first and second. While SPPs could not simulate daily discharge (NSE < 0.28), they performed better for monthly streamflow (NSE > 0.54). Overall, this study recommends CMORPH and IMERG_Final and improves the understanding of data quality to better manage hydrological disasters in the data-sparse Himalayas. This study framework can also be used in other Himalayan regions to systematically rank and identify the most suitable datasets for hydro-meteorological applications.

Selective hydrogenation of nitrile butadiene rubber latex using Catmetium®RF 4 catalyst

Hydrogenation of nitrile butadiene rubber (NBR) latex is an important topic in the field of chemical modification of unsaturated diene-based polymers. At present, the main challenge that restricts the large-scale production of hydrogenated nitrile rubber (HNBR) via latex hydrogenation way is how to reduce or even eliminate the use of organic solvents and to achieve a high rate of hydrogenation combined with a low amount of catalyst. We found a high-efficiency catalyst, i.e., catMETium®RF 4, which can directly hydrogenate NBR latex. The effects of temperature, hydrogen pressure, concentration of [CC]0 and agitation speed on the rate of hydrogenation were fully investigated. It was found that by using catMETium®RF 4 catalyst to prepare HNBR, the rate of hydrogenation of NBR latex can be increased drastically to achieve a high CC conversion of 95 mol% with a very low catalyst level of 0.02 wt%, which greatly decrease the demand on the recovery of a homogeneous catalyst from HNBR matrix. In addition, the hydrogenation of HNBR latex by catMETium®RF 4 was completely free of organic solvents and no cross-linking was found.

Macrophage migration inhibitory factor gene promoter polymorphism (−173G/C SNP) determines host susceptibility and severity of leptospirosis

The biological mechanisms that are associated with the severity of leptospirosis are far from complete. The aim of the present study was to investigate whether the macrophage migration inhibitory factor (MIF) gene promoter polymorphisms determine susceptibility to and severity of human leptospirosis. MIF is a potent pro-inflammatory cytokine, which has been reported to correlate with the risk of inflammatory disease onset and severity. In the present study, MIF 173G/C single nucleotide polymorphism (SNP) was analyzed by PCR-RFLP (Restriction fragment length polymorphism). A statistically significant increase of MIF -173*C allele related genotypes was observed in leptospirosis patients when compared with healthy control subjects. Genotypes GC (OR: 28.4; 95% CI: 10.9–73.6; p < 0.001) and CC (OR: 40; 95% CI: 2.3–686.5; p < 0.001) of −173 G/C MIF polymorphism was associated with susceptibility and severity of leptospirosis respectively. In leptospirosis cases, 69.8% of leptospirosis patients were GC genotype carriers while 19.8% and 10.4% cases were CC and GG carriers; in severe leptospirosis, 68% cases were CC carriers and 32% were GC carriers; and in healthy controls, 92.5% subjects were GG carriers and 7.5% were GC carriers. MIF -173*C allele was (OR: 15; 95% CI: 6.1–36.8; p < 0.001) significantly associated with the risk of leptospirosis than −173*G allele (OR: 0.06; 95% CI: 0.02–0.16; p < 0.001). The relationship of −173G/C MIF polymorphism with mRNA and serum level of MIF and inflammatory cytokine expression was analyzed by quantitative real-time PCR and MIF ELISA. MIF mRNA expression was significantly increased in carriers of MIF -173*C allele associated genotypes, GC and CC. A substantial increase of serum MIF (Mean ± SD) was found in risk genotypes GC (5.81 ± 0.61 ng/mL) and CC (10.12 ± 0.23 ng/mL) carrying leptospirosis patients than GG genotype (0.86 ± 0.3 ng/mL) carrying healthy controls. Pearson correlation test showed a significant positive correlation between elevated serum MIF and −173*C allele (r = 0.99, p < 0.001). High MIF expression genotypes GC and CC upregulated the mRNA expression of TNF-α, IL-1β and IL-4 whereas downregulated the IL-10 expression. Thus, MIF -173 G/C SNP genotype GC carriers have highly susceptible to leptospirosis and the leptospirosis patients with CC genotype had an increased risk of developing a severe form of the disease. The observations of this study conclude that MIF -173G/C polymorphism is associated with leptospirosis susceptibility and severity and also could be a promising severity predictor of leptospirosis.

Mechanical properties of amorphous SiCN films deposited by ion-beam-assisted deposition

This study discusses the fabrication of amorphous silicon carbon nitride (a-SiCN) films by ion-beam-assisted deposition (IBAD) and investigates their hardness and frictional properties. The a-SiCN films are deposited by IBAD via electron beam evaporation of graphite and Si under simultaneous nitrogen ion-beam bombardment at acceleration voltages of 0–15 kV. The a-SiCN films are deposited at acceleration voltages of 0, 0.2, 10, and 15 kV. The films are not deposited via nitrogen ion-beam irradiation at 0.5 or 1.0 kV. The a-SiCN films deposited at 0, 0.2 and 15 kV are primarily composed of C. However, the a-SiCN films deposited at 10 kV are primarily composed of Si. The chemical bond of the a-SiCN films, measured via X-ray photoelectron spectroscopic analysis, is dominant in the CC bonds in the C1s spectra. The a-SiCN film deposited at 0 kV demonstrates a hardness value of 19.5 GPa, whereas the a-SiCN films deposited at 0.2, 10 and 15 kV exhibit hardness values in the range of 25–34 GPa. The hardness of the a-SiCN films depended on the ion beam acceleration voltages. The friction coefficient of the a-SiCN film with a high CC bond content against a steel ball is as low as 0.07. In summary, the a-SiCN films deposited with a high-energy ion beam of 15 kV exhibit a high hardness level and a low friction coefficient.

Bipolar, complementary resistive switching and synaptic properties of sputtering deposited ZnSnO-based devices for electronic synapses

In this work, ZnSnO-based resistive switching (RS) devices were fabricated with different top electrodes (TEs) to investigate the RS and synaptic characteristics for neuromorphic systems. The Ta/ZnSnO/TiN device exhibits excellent endurance (2000 DC cycles), longer retention (104 s), reliable multilevel retention (103 s) with six distinct resistance states via controlling the reset-stop voltage, and low forming/set voltages with high uniformity. Besides, complementary RS (CRS) behavior is observed in Ta/ZnSnO/TiN device at appropriate current compliance (CC, 5 mA) instead of low (600 μA) and high (10 mA) CC, respectively. X-ray photoelectron spectroscopy (XPS) analysis confirms that both TaO and TiON interface layers are formed at the top Ta/ZnSnO and bottom ZnSnO/TiN interfaces, which are found responsible for CRS behavior. Furthermore, XPS analysis also confirmed that the concentration of oxygen vacancies near the bottom ZnSnO/TiON interface is greater than the oxygen vacancies concentration near the top TaO/ZnSnO interface. Based on the XPS analysis, the switching phenomenon is confined in ZnSnO/TaON bottom interface because of its higher oxygen vacancy levels (prevent oxygen loss) in contrast to the TaO/ZnSnO top interface where the ZnSnO layer acts as series resistances in between these two interfaces. The basic features of an artificial synapse, LTP/ LTD, PPF/ PPD, and STDP, were successfully emulated using a Ta/ZnSnO/TiN device, suggesting potential applications for neuromorphic hardware systems.

Heat Exposure Information at Screen Level for an Impact-Based Forecasting and Warning Service for Heat-Wave Disasters

The importance of impact-based forecasting services, which can support decision-making, is being emphasized to reduce the damage of meteorological disasters, centered around the World Meteorological Organization. The Korea Meteorological Administration (KMA) began developing impact-based forecasting technology and warning services in 2018. This paper proposes statistical downscaling and bias correction methods for acquiring high-resolution meteorological data for the heat-wave impact forecast system operated by KMA. Hence, digital forecast data from KMA, with 5 km spatial resolution, were downscaled and corrected to a spatial resolution of 1 km using statistical interpolation methods. Cross-validation indicated the superior performance of the Gaussian process regression model (GPRM) technique with low root mean square error and percent bias values and high CC value. The GPRM technology had the lowest forecast error, especially during the hottest period in Korea. In addition, temperatures for land-use areas with low elevations and high activity, such as the urban, road, and agricultural areas, were high. It is essential to provide accurate heat exposure information at the screen level with high human activity. Spatiotemporally accurate heat exposure information can be used more realistically for risk management in agriculture, livestock and fishery, and for adjusting the working hours of outdoor workers in construction and shipbuilding.

Self-Awareness Deficits of Cognitive Impairment in Individuals With Schizophrenia. Really?

ObjectiveMisestimation of cognitive functioning has been largely described in individuals with schizophrenia. There is large evidence that correlations between subjectively assessed cognitive functioning and objectively determined cognitive functioning are weak in non clinical individuals and may be more closely related to other psychoaffective or clinical factors than to objective neuropsychological functioning. Surprisingly, no study to date has compared the associations between cognitive complaint and objective measures of cognitive functioning in individuals with schizophrenia and healthy controls. The main objective of this study was to 1) compare cognitive complaint between individuals with schizophrenia and non clinical controls, 2) explore the relationships between cognitive complaint and psychoaffective and clinical factors in the clinical group and 3) compare the relationships between subjective awareness of cognitive functioning and objective neuropsychological assessment in individuals with schizophrenia and non-clinical participants.MethodIn this study 30 individuals with schizophrenia and 20 non-clinical matched controls were included. In addition to objective cognitive measures and subjective cognition assessed by the Subjective Scale To Investigate Cognition In Schizophrenia, measures of psychotic symptoms, depression, and anxiety were included.ResultsSchizophrenia patients reported higher cognitive complaints in comparison with controls. In individuals with schizophrenia, cognitive complaint subscores were differently associated with depression, anxiety, and negative symptoms. When depression was controlled for, the same number of correlations between self-rated measures of cognition and objective measures of cognition were found in both groups, but accuracy of self-assessment of cognition was lower in the schizophrenia group.When the schizophrenia group was divided into a high cognitive complaint group (SZ High CC) and a low cognitive complaint group (SZ Low CC), findings indicated that self-assessment of cognition in the SZ high CC was highly accurate (correlations with large effect sizes). By contrast the SZ low CC group severely misjudge their cognition.ConclusionA significant proportion of patients with schizophrenia can accurately estimate their cognitive skills. Self-awareness of cognitive deficits in individuals with schizophrenia is an heterogenous phenomenon and misestimation of cognitive functioning might have been overestimated, partly due to secondary psychoaffective factors. Caution is warranted before jumping to the conclusion that all individuals with schizophrenia misjudge their cognitive functioning.

Are Contemplative Capacities Created Equal?: Examining Demographic Differences in Adolescents’ Contemplative Capacity and Differences in Psychological Well-being

Contemplative abilities including self-compassion, mindfulness, and related constructs such as distress tolerance are associated with adolescent psychological wellbeing. Yet how adolescents vary in contemplative abilities, and how such variations differ as a function of demographics, remains unclear. The present study sought to determine how many profiles of “contemplative capacities” exist among adolescents, how the profiles differ on demographics (i.e., gender, age, minority status, father and mother education) and adolescent psychological well-being (i.e., depression, anxiety, stress, life satisfaction, and resilience), and how differences in psychological well-being are moderated by demographics (i.e., gender, age, minority status, father and mother education). Data were collected from 789 middle and high school students. Profiles of adolescent “contemplative capacities” were determined using adolescent self-reported self-compassion, mindfulness, and distress tolerance within a latent profile analysis. Three “contemplative capacities” (CC) profiles fit the data best: Profile 1: Moderate CC (n = 340); profile 2, High CC (n = 262); and profile 3, Low CC represents (n = 148). Profiles differed on gender, age, minority status, and father education. Analysis of variance (ANOVA) tests were conducted to examine mean difference among the high, moderate, and low CC profiles. The three profiles differed on all psychological well-being outcomes, with high CC reporting greatest psychological well-being, followed by moderate CC, and then low CC. Lastly, CC profiles differed on indicators of psychological well-being as a function of gender and minority status. Variations exist among adolescents’ contemplative abilities and such differences are associated with demographic factors and psychological well-being.

Immune- and tumor-intrinsic gene expression profiles of response or resistance to tislelizumab as monotherapy or in combination with chemotherapy in non-small cell lung cancer (NSCLC).

e15258 Background: Tislelizumab, an anti-PD-1 monoclonal antibody, showed clinical benefit for patients (pts) with NSCLC alone (NCT02407990, CTR20160872) and in combination with chemotherapy (NCT03432598). Gene expression profiles (GEP) associated with response and resistance to tislelizumab in these studies were assessed. Methods: The GEP of baseline tumor samples from 59 nonsquamous (NSQ) and 42 squamous (SQ) NSCLC pts treated with tislelizumab monotherapy (mono) as ≥1L treatment, and 16 NSQ and 21 SQ pts treated with tislelizumab plus chemotherapy (combo) as 1L treatment were assessed using the 1392-gene HTG GEP EdgeSeq panel. NSQ and SQ cohorts were analyzed separately due to distinct GEP features shown by PCA and t-SNE clustering. Results: Tislelizumab mono and combo showed antitumor activity in NSCLC (Table). In 80 biomarker-evaluable samples, inflamed tumor signatures (inflammatory GEP; antigen presentation GEP) were associated with longer overall survival (log-rank test, NSQ mono: P=0.04, 0.003; NSQ combo: P=0.05, 0.02; SQ combo: P=0.06, 0.06). Monotherapy non-responders (NRs) were clustered into 2 subgroups (NR1, NR2) with distinct GEPs. Compared with responders, NR1 had proliferation signatures (elevated cell cycle [CC] and DNA repair) in both NSQ ( P=0.2, 0.02) and SQ ( P=0.03, 0.4) cohorts, trending toward low inflamed tumor signatures. In NR pts receiving combo, CC and DNA repair signatures were not enriched, and high CC and DNA repair scores were observed in some SQ combo responders versus NRs ( P=0.2, 0.02). NR2 had higher M2 macrophage and Treg cell signatures versus responders in both NSQ and SQ mono, despite high inflamed tumor and low proliferation signatures. NR2 also had increased expression of genes related to immune regulation and angiogenesis, including PIK3CD, CCR2, CD244, IRAK3, and MAP4K1 ( P&lt;0.05) in NSQ, and PIK3CD, CCR2, CD40, CD163, MMP12, VEGFC, and TEK ( P&lt;0.05) in SQ. Conclusions: Clinical benefit in pts with NSCLC receiving tislelizumab (mono or combo) was associated with high inflamed tumor signatures, while elevated immune suppressive cell signatures may indicate resistance. High proliferation signatures were associated with resistance to monotherapy, but not to combination therapy. Both immune- and tumor-intrinsic factors may be considered for validation in future clinical trials. [Table: see text]

Cover crop productivity and subsequent soybean yield in the western Corn Belt

AbstractCover crops (CC) in corn (Zea mays L.) and soybean [Glycine max (L.) Merr.] rotations may prevent N loss and provide other ecosystem services but CC productivity in the western Corn Belt is limited by the short growing season. Our objective was to assess CC treatment and planting practice effects on CC biomass, spring soil nitrate concentrations, and soybean yield at two rainfed sites in eastern and one irrigated site in south‐central Nebraska over 4 yr. Cover crop treatments (cereal rye [Secale cereale L.] [RYE] and a mix of rye, legume, and brassica species [MIX]) were planted by broadcast interseeding into corn stands in September (pre‐harvest broadcast) or drilling after corn harvest (post‐harvest drilled) and terminated 2 wk before planting soybean. Cover crop biomass and N uptake varied between years, but generally at the eastern sites, pre‐harvest broadcasting produced more biomass than post‐harvest drilling (1.64 and 0.79 Mg ha−1, respectively) and had greater N uptake (37 and 24 kg ha−1, respectively). At the south‐central site, post‐harvest drilling produced more than pre‐harvest broadcasting (1.44 and 1.20 Mg ha−1, respectively). RYE had more biomass than MIX (1.41 and 1.09 Mg ha−1, respectively), but the same N uptake. Soil nitrate reductions after CC were small. In 3 of 12 site‐years, soybean yielded less after pre‐harvest CC. Yield reductions were not correlated to CC biomass, but were likely due to greater weed pressure. High CC productivity is necessary for high N uptake, and requires site‐specific selection of planting practice and CC treatments.

KajianTeknis Pengaruh Panjang Pukulan Terhadap Recovery Pencucian Bijih Timah Menggunakan Alat Pan American Jig Skala Laboratorium Jurusan Teknik Pertambangan Universitas Bangka Belitung

Washing stage of tin ore is done the separation process valuable minerals of tin ore with mineral impurities. This process can be done using jig such as Pan American Jig. The length of stroke is one of the parameters that affect the performance of the jig with high recovery of tin ore leaching. The experiment was carried out by washing experiment using Pan American Jig scale laboratory on 6 times including variation of stroke length 15 mm, 12 mm, 10 mm, 8 mm, 6 mm, and 5 mm with 19 washing sample. The collection and processing of data includes the weight and grade in each of the feed, concentrates and tailings. Determination of recovery value of each experiment is done through calculation between the grade and weight produced by each sample from washing process. Minerals with a high CC value will be very easily separated by the method of Gravity Concentration for example mineral cassiterite with quartz. The highest recovery was obtained in experiment 1 of 68.848% with a stroke length of 15 mm and the lowest recovery was in experiment 6 of 45.801%. However, the highest grade gain was in experiment 6 of 1.3246% and the lowest grade in experiment 1 was 1.2438%. The higher stroke length made greater recovery value produced, the greater recovery made the lower grade obtained.

Abstract 480: Feasibility of an Augmented Reality Cardiopulmonary Resuscitation Training System for Health Care Providers

Introduction: Augmented reality (AR) has the potential to offer a novel approach to CPR training that supplements conventional training methods with gamification and a more interactive learning experience. This is done through computer-generated imagery superimposed on users’ view of the real environment to simulate interactive training scenarios. Objective: We sought to test the feasibility of an AR CPR training system (CPReality) for health care providers (HCPs). Methods: In this feasibility trial, a CPR training manikin was integrated with a commercial AR device (Microsoft HoloLens) to provide participants with real-time audio-visual feedback via a holographic overlay of blood flow to vital organs dependent on CC quality. In this system, higher quality CC visually improved virtual blood circulation. HCPs performed a 2-minute cycle of hands-only CPR using only the AR system, and CC parameters were recorded. Descriptive data on participants’ demographics, CC quality, and satisfaction with the training environment were reported. Results: Between 10/2019-11/2019, we enrolled a convenience sample of 51 HCPs. The median age of participants was 31 years (IQR 27-41), 71% (36/51) were female, and 67% (34/51) were registered nurses. CC rates (mean 126 ± 12.9 cpm), depths (median 53 mm, IQR 46-58), and percent with complete recoil (median 80%, IQR 12-100) were consistent with guideline recommendations for good quality CPR. Participants were predominantly satisfied with the system, with 82% perceiving the experience as realistic, 98% recognizing the visualizations as helpful for training, and 94% willing to use the application in future CPR training. Conclusions: As AR is increasingly applied in the healthcare setting, integration in CPR training offers a novel and promising educational approach. In this convenience sample of trained HCPs, high quality CC delivery was feasible using the AR CPR training system which was received favorably by most participants.

Fostering Cognitive Change in Cognitive Therapy of Depression: An Investigation of Therapeutic Strategies

There is little evidence regarding which therapist strategies promote cognitive change in cognitive therapy (CT) of depression. Drawing from a sample of CT patients, we selected two consecutive sessions for which patients reported markedly different amounts of cognitive change (CC; i.e., a low and high cognitive change session). We then investigated whether four observer-rated psychotherapy process variables differentiated high and low CC sessions. Our analyses focused on 62 patients with large session-to-session differences in self-reported CC. Results from single predictor models showed the therapeutic alliance and therapists’ use of cognitive methods predicted high versus low CC session type. In a model including multiple predictors, only cognitive methods remained significant. These findings are consistent with the view that cognitive methods promote CC in CT.