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Prior research has shown that Black and Hispanic students are more likely to experience office discipline referrals than White youth, and the magnitude of these inequalities has been found to vary by gender. However, it remains unclear whether racial/ethnic and gender disparities in office referrals might be amplified among students in more disruptive classroom environments. Analyses of data from the 2012-2021 8th/10th grade cohorts of the Monitoring the Future survey (N = 70,442) reveal that, among male youth, Black- and Hispanic-White differences in office referrals are substantially weaker for students who describe their classrooms as more disruptive. In contrast, the heightened risk of an office referral for minority female students relative to White females increases in correspondence with higher levels of classroom disruptiveness.

Topographical as well as microscopic imaging of nanoscale surfaces plays a pivotal role across various disciplines. Nevertheless, achieving fast, label-free, and accurate characterization of laterally expanded structures below the diffraction limit remains challenging. Recent studies highlight the use of microsphere assistance for resolution improvement. Confocal microscopy, augmented by microspheres, enables the imaging of small structures that were previously inaccessible. This is experimentally compared with microsphere-assisted microscopy (MAM) to underline the decisive role of the confocal effect.

We present how to develop virtual microcylinder- or microsphere-assisted surface topography measurement instruments. As the most critical part, the interaction between light, microcylinder and measurement object is considered based on the finite element method (FEM). Results are obtained for microcylinder-assisted conventional, interference, and confocal microscopes without necessity to repeat the time-consuming FEM simulations for each sensor.

Glide-snow avalanches release at the ground–snow interface due to a loss in basal friction. They pose a threat to infrastructure because of the combination of unreliable mitigation measures, limited forecasting capabilities, and a lack of understanding of the release process. The aim of this study was to investigate the influence of spatial variability in basal friction and snowpack properties on the avalanche release area distribution and the release location. We developed a pseudo-3D, mechanical, threshold-based model that consists of many interacting snow columns on a uniform slope. Parameterizations in the model are based on our current understanding of glide-snow avalanche release. The model can reproduce the power law glide-snow avalanche release area distribution as observed on Dorfberg (Davos, Switzerland). A sensitivity analysis of the input parameters showed that the avalanche release area distribution was mostly influenced by the homogeneity (correlation length and variance) of the basal friction and whether the basal friction was reduced suddenly or in small increments. Larger release areas were modeled for a sudden decrease and a more homogeneous basal friction. The spatial variability of the snowpack parameters had little influence on the release area distribution. Extending the model to a real-world slope showed that the modeled location of avalanche releases qualitatively matched the observed locations. The model can help narrow down the length scales and timescales for field investigations. Simultaneously, it can grow in complexity with our increasing understanding of glide-snow avalanche release processes. Input parameters such as the basal friction or snowpack parameters could potentially all be connected to the liquid water content. This would allow for the use of meteorological measurements to drive the model. The model has the potential to help identify potentially dangerous conditions for large or numerous avalanches which would help improve glide-snow avalanche forecasting. [ABSTRACT FROM AUTHOR]

Information on soil water potential is essential to assessing the soil moisture state, to prevent soil compaction in weak soils, and to optimize crop management. When there is a lack of direct measurements, the soil water potential values must be deduced from soil water content dynamics that can be monitored at the plot scale or obtained at a larger scale from remote sensing information. Because the relationship between water content and soil water potential in natural field soils is highly ambiguous, the prediction of soil water potential from water content data is a big challenge. The hysteretic relationship observed in nine soil profiles in the region of Solothurn (Switzerland) is not a simple function of texture or wetting–drainage cycles but depends on seasonal patterns that may be related to soil structural dynamics. Because the physical mechanisms governing seasonal hysteresis are unclear, we developed a deep neural network model that predicts water potential changes using rainfall, potential evapotranspiration, and water content time series as inputs. To adapt the model for multiple locations, we incorporated a deep autoencoder neural network as a classifier. The autoencoder compresses the water content time series into a site-specific feature that is highly representative of the underlying water content dynamics of each site and quantifies the similarity of dynamic patterns. By adding the autoencoder's output as an additional input and training the neural network model with three stations located in three major classes established by the autoencoder, we predict matric potential for other sites. This method has the potential to deduce the dynamics of matric potential from water content data (including satellite data) despite strong seasonal effects that cannot be captured by standard methods. [ABSTRACT FROM AUTHOR]

Copyright of Technisches Messen is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

An abundance of research has revealed that religious salience is negatively associated with delinquent behavior, including illicit substance use. However, absent from prior work is a consideration of whether youths' participation in personal religious rituals and acts of devotion might amplify the protective effects of religiosity. Theoretically, it may be expected that these private expressions of belief and identity can strengthen religious commitments and reaffirm membership within specific moral communities. Using data from the National Study of Youth and Religion on a nationally representative sample of adolescents ages 13 to 17 (N = 3,170), these findings reveal that religious salience inhibits cigarette use, alcohol use, drunkenness, and marijuana use, but only among youth who engage in at least some pious practices. [ABSTRACT FROM AUTHOR]

Undergraduate students at a large southwestern state university completed an anonymous online survey, which included measures of cyber harassment victimization and perpetration, coping, and psychological maladjustment. For both women and men, experiences of cyber harassment victimization and perpetration were positively correlated with each other and with psychological maladjustment. As expected, avoidant coping was significantly positively correlated with both psychological maladjustment and both cyber harassment victimization and perpetration. Adaptive coping was not significantly correlated with any of the other variables. Path analyses with bootstrapped mediation tests indicated that the relationships between both cyber harassment victimization and perpetration and psychological maladjustment were significantly mediated by avoidant coping.

Casimir force densities, i.e., force per area, become very large if two solid material surfaces come closer together to each other than 10 nm. In most cases, the forces are attractive. In some cases, they can be repulsive depending on the solid materials and the fluid medium in between. This review provides an overview of experimental and theoretical studies that have been performed and focuses on four main aspects: (i) the combinations of different materials, (ii) the considered geometries, (iii) the applied experimental measurement methodologies and (iv) a novel self-assembly methodology based on Casimir forces. Briefly reviewed is also the influence of additional parameters such as temperature, conductivity, and surface roughness. The Casimir effect opens many application possibilities in microelectromechanical systems (MEMS) and nanoelectromechanical systems (NEMS), where an overview is also provided. The knowledge generation in this fascinating field requires interdisciplinary approaches to generate synergetic effects between technological fabrication metrology, theoretical simulations, the establishment of adequate models, artificial intelligence, and machine learning. Finally, multiple applications are addressed as a research roadmap. [ABSTRACT FROM AUTHOR]

Hydro-pedotransfer functions (PTFs) relate easy-to-measure and readily available soil information to soil hydraulic properties (SHPs) for applications in a wide range of process-based and empirical models, thereby enabling the assessment of soil hydraulic effects on hydrological, biogeochemical, and ecological processes. At least more than 4 decades of research have been invested to derive such relationships. However, while models, methods, data storage capacity, and computational efficiency have advanced, there are fundamental concerns related to the scope and adequacy of current PTFs, particularly when applied to parameterise models used at the field scale and beyond. Most of the PTF development process has focused on refining and advancing the regression methods, while fundamental aspects have remained largely unconsidered. Most soil systems are not represented in PTFs, which have been built mostly for agricultural soils in temperate climates. Thus, existing PTFs largely ignore how parent material, vegetation, land use, and climate affect processes that shape SHPs. The PTFs used to parameterise the Richards–Richardson equation are mostly limited to predicting parameters of the van Genuchten–Mualem soil hydraulic functions, despite sufficient evidence demonstrating their shortcomings. Another fundamental issue relates to the diverging scales of derivation and application, whereby PTFs are derived based on laboratory measurements while often being applied at the field to regional scales. Scaling, modulation, and constraining strategies exist to alleviate some of these shortcomings in the mismatch between scales. These aspects are addressed here in a joint effort by the members of the International Soil Modelling Consortium (ISMC) Pedotransfer Functions Working Group with the aim of systematising PTF research and providing a roadmap guiding both PTF development and use. We close with a 10-point catalogue for funders and researchers to guide review processes and research. [ABSTRACT FROM AUTHOR]

Due to their contactless and fast measuring capabilities, laser interferometers represent an interesting alternative to tactile stylus instruments for surface profilometry. In addition to these outstanding attributes, acquisition costs play a major role in industry, limiting the frequent use of optical profilometers, which are significantly more expensive than tactile profilometers. We present a low-cost laser distance-measuring interferometer featuring axial repeatability below 1 nm at acquisition rates of 38,000 height values per second. The sensor's performance is validated on several surface standards, achieving lateral scan velocities up to 160 mm/s. Further to high scan velocities, the high acquisition rate enables improved measurement accuracy by averaging measured height values. For example, the standard deviation of 625 pm for repeated measurements can be reduced to 265 pm at the expense of the data rate. However, the sensor concept provides the potential for further improvements in data rate and measurement repeatability. [ABSTRACT FROM AUTHOR]

In the United States, the judicial system response to violence between intimate partners, or intimate partner violence (IPV), typically mandates that adjudicated perpetrators complete a batterer intervention program (BIP). The social science data has found that these programs, on the whole, are only minimally effective in reducing rates of IPV. The authors examined the social science literature on the characteristics and efficacy of BIPs. More than 400 studies were considered, including a sweeping, recently conducted survey of BIP directors across the United States and Canada. Results of this review indicate that the limitations of BIPs are due, in large part, to the limitations of current state standards regulating these programs and, furthermore, that these standards are not grounded in the body of empirical research evidence or best practices. The authors, all of whom have considerable expertise in the area of domestic violence perpetrator treatment, conducted an exhaustive investigation of the following key intervention areas: overall effectiveness of BIPs; length of treatment/length of group sessions; number of group participants and number of facilitators; group format and curriculum; assessment protocol and instruments; victim contact; modality of treatment; differential treatment; working with female perpetrators; working with perpetrators in racial and ethnic minority groups; working with lesbian, gay, bisexual, and transgender (LGBT) perpetrators; perpetrator treatment and practitioner–client relationships; and required practitioner education and training. Recommendations for evidence-based national BIP standards were made based on findings from this review.

Enhancing the lateral resolution in optical microscopy and interferometry is of great interest in recent research. In order to laterally resolve structures including feature dimensions below the Abbe resolution limit, microspheres in the optical near-field of the specimen are shown to locally improve the resolution of the imaging system. Experimental and simulated results following this approach are obtained by a high NA Linnik interferometer and analyzed in this contribution. They show the reconstructed surface of a 1D phase grating below the resolution limit. For further understanding of the transfer characteristics, measured interference data are compared with FEM (finite element method) based simulations with respect to the polarization dependency of the relevant image information for 1D phase gratings. Therefore, the implemented Koehler illumination as well as the experimental setup utilize polarized light.

Copyright of Technisches Messen is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Prior research on the criminal court punishment of transferred youth relative to adult defendants has produced mixed findings; however, these disparities have not been examined in the context of intermediate and alternative sanctions. In Florida, judges have the discretion to assign a split sentence, which involves a mitigated term of imprisonment followed by a sentence to community supervision. Using data on felony cases sentenced under Florida's Criminal Punishment Code (N = 704,977), these results provide evidence of a "youth discount," with juveniles more likely than adults to receive split sentences. However, this pattern is observed regardless of whether a prison sentence is recommended by the guidelines, that is, even among cases in which a split sentence represents an upward departure. [ABSTRACT FROM AUTHOR]