Organic Photochemistry-Assisted Nanoparticle Segregation on Perovskites

Summary The segregation (or exsolution) of nanoparticles (NPs) on the surface of perovskite oxide parents has emerged as an advanced technology to design functional materials for renewable energy. However, this process relies heavily upon lengthy reduction (800–1,200 K) in hydrogen-rich environments to facilitate the electron transfer from hydrogen to oxides, making this process costly. Here, we show that, in addition to thermal driving forces, photo-illumination can drive electron donation and facilitate the electron harvesting on perovskite directly. This results in segregation of NPs at room temperature with the assistance of trialkyl amine as a hole acceptor. A proton-coupled electron transfer catalytic cycle is suggested to explain this unusual electron transfer pathway, which is redox neutral and an intrinsically closed cycle. The practicality of this process is demonstrated by the improved performance in a trial electrocatalytic oxygen evolution reaction. This work suggests a promising design principle for perovskite functionalization

Chinese version of Dominic Interactive – A self-report video game for assessing mental health in young children

ObjectivesAssess the validity of the Chinese version of the Dominic Interactive (DI), a 91-item, video-based diagnostic screening instrument for children that assesses four internalized disorders (phobias, separation anxiety disorder, generalized anxiety disorder, and major depressive disorder) and three externalized disorders (attention-deficit/hyperactivity disorder, conduct disorder, oppositional defiant disorder).Methods(1) Compare DI-generated “probable” or “possible” diagnoses to diagnoses based on the Development and Well-Being Assessment (DAWBA) instrument in 113 psychiatric outpatients and 20 community controls. (2) Administer DI to 1,479 children from elementary schools in Tianjin.ResultsIn the validation sample, DI with DAWBA concordance was much greater for internalized disorders (mean Kappa = 0.56) than for externalized disorders (mean kappa = 0.11). The positive predictive value of DI diagnoses ranged from 0.96 (generalized anxiety disorder) to 25% (oppositional defiant disorder) and negative from 0.81 to 0.96. Using “probable” cuts provides better results. In the survey, prevalence of probable DI disorders ranged from 1.0% (conduct disorder) to 13.1% (phobias). Internal consistency of all DI items was excellent (Cronbach alpha = 0.93) and that of the seven subscales ranged from 0.64 (phobias) to 0.87 (major depressive disorder). In multilevel SEM analyses, SRMR (Standardized root mean square residual) or each of the seven diagnoses was below 0.08 and each coefficient of determination was below 0.60.ConclusionThe Chinese DI is a convenient method of screening common mental disorders in Chinese children mainly for internalized disorders, which are the most prevalent diagnoses in that population. However its high negative predictive values for externalized could be used for screening

Black carbon and organic carbon dataset over the Third Pole

The Tibetan Plateau and its surroundings, also known as the Third Pole, play an important role in the global and regional climate and hydrological cycle. Carbonaceous aerosols (CAs), including black carbon (BC) and organic carbon (OC), can directly or indirectly absorb and scatter solar radiation and change the energy balance on the Earth. CAs, along with the other atmospheric pollutants (e.g., mercury), can be frequently transported over long distances into the inland Tibetan Plateau. During the last decades, a coordinated monitoring network and research program named “Atmospheric Pollution and Cryospheric Changes” (APCC) has been gradually set up and continuously operated within the Third Pole regions to investigate the linkage between atmospheric pollutants and cryospheric changes. This paper presents a systematic dataset of BC, OC, water-soluble organic carbon (WSOC), and water-insoluble organic carbon (WIOC) from aerosols (20 stations), glaciers (17 glaciers, including samples from surface snow and ice, snow pits, and 2 ice cores), snow cover (2 stations continuously observed and 138 locations surveyed once), precipitation (6 stations), and lake sediment cores (7 lakes) collected across the Third Pole, based on the APCC program. These data were created based on online (in situ) and laboratory measurements. High-resolution (daily scale) atmospheric-equivalent BC concentrations were obtained by using an Aethalometer (AE-33) in the Mt. Everest (Qomolangma) region, which can provide new insight into the mechanism of BC transportation over the Himalayas. Spatial distributions of BC, OC, WSOC, and WIOC from aerosols, glaciers, snow cover, and precipitation indicated different features among the different regions of the Third Pole, which were mostly influenced by emission sources, transport pathways, and deposition processes. Historical records of BC from ice cores and lake sediment cores revealed the strength of the impacts of human activity since the Industrial Revolution. BC isotopes from glaciers and aerosols identified the relative contributions of biomass and fossil fuel combustion to BC deposition on the Third Pole. Mass absorption cross sections of BC and WSOC from aerosol, glaciers, snow cover, and precipitation samples were also provided. This updated dataset is released to the scientific communities focusing on atmospheric science, cryospheric science, hydrology, climatology, and environmental science. The related datasets are presented in the form of excel files. BC and OC datasets over the Third Pole are available to download from the National Cryosphere Desert Data Center (10.12072/ncdc.NIEER.db0114.2021; Kang and Zhang, 2021)

A General Procedure to Assess the Internal Structure of a Noncognitive Measure- The Student360 Insight Program (S360) Time Management Scale A General Procedure to Assess the Internal Structure of a Noncognitive Measure- The Student360 Insight Program (S36

Abstract The factorial structure of the Time Management (TM) scale of the Student 360: Insight Program (S360) was evaluated based on a national sample. A general procedure with a variety of methods was introduced and implemented, including the computation of descriptive statistics, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA). Overall, the results indicated that the TM scale measured multidimensional constructs of TM with 5 factors. The paper concludes with a discussion of several issues concerning the wording of items and residual dependencies, as well as future directions for research

Validity and Fairness of College Admissions: Model Choices and Interaction with College Characteristics

The current study employed two-level hierarchical generalized linear models (HGLM) to compare the admission validity and fairness with respect to gender, ethnicity, and first language between two admission models, and examined whether institutional characteristics can explain the variations across colleges. The two admission models included the Combined model, where students were admitted based on a multiple regression with HSGPA and SAT scores (SATM and SATV) to predict FRGPA. The other one is the Either-Or model, where students were admitted based on the regression of FRGPA on either HSGPA or SAT scores alone. The validity or fairness of admission was measured by log odds ratio (LOR), which was built in a logistic regression as the slope coefficient in HGLM. That was in the first level, logit of success probability for each individual was regressed on individual\u27s admission status determined by the Combined model (or the Either-Or model). In the second level, the variation of the association between admission status and success status was regressed on institutional characteristic such as size, mean of SAT scores, mean of HSGPA, percentage of female, percentage of Non-Asian minority students, and percentage of Asian minority students alone. The admission fairness was also modeled based on an HGLM framework. In the first level, the logit of success probability (or admitted probability) of individual regressed on gender or other dichotomized subgroup indexes such as ethnicityI (Non-Asian minority students vs. White students), ethnicityII (Asian minority vs. White students) and first language (ESL or not), with the second level the same as that for the validity. Based on the Empirical Bayesian estimates from Unit Specific and Population Average models under HGLM, the study found that the Combined model had slightly higher admission validity than the Either-Or model; the Either-Or model mimicked the association of success with ethnicityI and first language subgroups more closely than the Combined model, but not for the gender-success LOR nor the ethnicityII-success LOR. It was also found that institutional size, mean of SAT total score, mean of HSGPA, percentage of Asian minority students accounted for the variation of gender LORs significantly, but with negative coefficients. Institutional size, mean of SAT total score, and mean of HSGPA were significant predictors for the variation of gender fairness LORs and the variation of ethnicityI fairness LORs. Only the mean SAT total score accounted for the variation of ethnicityII fairness LORs to the positive direction. None of the institutional characteristics accounted for the variation of first language fairness LORs significantly. Interpretation of these findings, possible explanations and implications for practice were discussed, as well as limitations of the current study, and directions for future research

Why the Major Field Test in Business Does Not Report Subscores: Reliability and Construct Validity Evidence Why the Major Field Test in Business Does Not Report Subscores: Reliability and Construct Validity Evidence

Abstract To assess the value of individual students' subscores on the Major Field Test in Business (MFT Business), I examined the test's internal structure with factor analysis and structural equation model methods, and analyzed the subscore reliabilities using the augmented scores method. Analyses of the internal structure suggested that the MFT Business measures a unidimensional construct, which does not support reporting individual students' subscores. Augmented score analyses revealed that the observed total score could approximate the true subscore more accurately than the observed subscores, which do not support reporting individuals' subscores either. The results from these two approaches provided consistent evidence in support of the current practice of not reporting individuals' subscores on the MFT Business. The relationship between the two approaches is discussed, followed by a recommendation of an alternate method for future research

On-Line Compensation for Micromilling of High-Aspect-Ratio Straight Thin Walls

In order to improve the machining quality and reduce the dimensional errors of micro high-aspect-ratio straight thin walls, the on-line cutting parameter compensation device has been introduced and corresponding micromilling processes have been investigated. Layered milling strategies for the micromilling of thin walls have been modeled and simulated for thin walls with different thicknesses based on the finite element method. The radial cutting parameters compensation method is adopted to compensate the thin wall deformation by raising the radial cutting parameters since the thin wall deformation make the actual radial cutting parameters smaller than nominal ones. The experimental results show that the dimensional errors of the thin wall have been significantly reduced after the radial cutting parameter compensation. The average relative dimensional error is reduced from 6.9% to 2.0%. Moreover, the fabricated thin walls keep good shape formation. The reduction of the thin wall dimensional error shows that the simulation results are reliable, which has important guiding significance for the improvement of thin wall machining quality, especially the improvement of dimensional accuracy. The experimental results show that the developed device and the machining strategy can effectively improve the micromilling quality of thin walls

Sulfur-manganese carbonate composite autotrophic denitrification: nitrogen removal performance and biochemistry mechanism

A novel composite sulfur-manganese carbonate autotrophic denitrification (SMAD) system was developed to reduce sulfate production and provide pH buffer function while improving denitrification efficiency without external organics. The average removal efficiency of total nitrogen (TN) was 98.09% and 96.29%, and that of NO3−-N was 99.53% and 97.77%, respectively, in the SMAD system with a hydraulic retention time (HRT) of 6 h and 3 h. They were significantly higher than that in the controls (quartz sand, manganese carbonate ore, and sulfur systems). The H+ produced by the sulfur autotrophic denitrification (SAD) process promoted the release of Mn2+ in the SMAD system. And this system had a stable pH with no accumulation of NO2−-N. The decrease of sulfate and formation of Mn oxides through Mn2+ electron donation confirmed the presence of the manganese autotrophic denitrification (MAD) process in the SMAD system. Dominant functional bacteria in the SMAD system were Thiobacillus, Chlorobium, and Sulfurimonas, which were linked to nitrogen, sulfur, and manganese conversion and promoted denitrification. Meanwhile, Flavobacterium participating in Mn2+ oxidation was found only in the SMAD system. The SMAD system provided a new strategy for advanced tailwater treatment

Repurposing a Business Learning Outcomes Assessment to College Students Outside of the United States: Validity and Reliability Evidence ETS Research Report Series EIGNOR EXECUTIVE EDITOR Repurposing a Business Learning Outcomes Assessment to College Stude

Since its 1947 founding, ETS has conducted and disseminated scientific research to support its products and services, and to advance the measurement and education fields. In keeping with these goals, ETS is committed to making its research freely available to the professional community and to the general public. Published accounts of ETS research, including papers in the ETS Research Report series, undergo a formal peer-review process by ETS staff to ensure that they meet established scientific and professional standards. All such ETS-conducted peer reviews are in addition to any reviews that outside organizations may provide as part of their own publication processes