Miracle-dz/UniFAR-FTUs huggingface dataset:
Testing a first online intervention to reduce conformity to cyber aggression in messaging apps

Early adolescents frequently use mobile messaging apps to communicate with peers. The popularity of such messaging apps has a critical drawback because it increases conformity to cyber aggression. Cyber aggression includes aggressive peer behaviors such as nasty comments, nonconsensual image sharing, and social exclusion, to which adolescents subsequently conform. Recent empirical research points to peer group norms and reduced accountability as two essential determinants of conformity to cyber aggression. Therefore, the current study aimed to counteract these two determinants in a 2 (peer group norms counteracted: yes, no) x 2 (reduced accountability counteracted: yes, no) design. We created four intervention conditions that addressed adolescents’ deficits in information, motivation, and behavioral skills. Depending on the condition (peer group norms, reduced accountability, combination, or control), we first informed participants about the influence of the relevant determinant (e.g., peer group norms). Subsequently, participants performed a self-persuasion task and formulated implementation-intentions to increase their motivation and behavioral skills not to conform to cyber aggression. Effectiveness was tested with a messaging app paradigm and self-report among a sample of 377 adolescents (Mage = 12.99, SDage = 0.84; 53.6% boys). Factorial ANCOVAs revealed that none of the intervention conditions reduced conformity to cyber aggression. Moreover, individual differences in susceptibility to peer pressure or inhibitory control among adolescents did not moderate the expected relations. Therefore, there is no evidence that our intervention effectively reduces conformity to cyber aggression. The findings from this first intervention effort point to the complex relationship between theory and practice. Our findings warrant future research to develop potential intervention tools that could effectively reduce conformity to cyber aggression.
Coleadership in Maternity Teams, a Randomized, Counterbalanced, Crossover Trial in Simulation

Objective This study aimed to measure the effect of a coleadership model on team performance compared with singular leadership model in simulated maternity emergencies. Methods A randomized, counterbalanced, crossover trial was performed at 2 tertiary maternity hospitals. Teams of obstetric physicians and nurse/midwives responded to 2 simulated maternity emergencies in either a singular or coleadership model. The primary outcome measure was teamwork rated with the Auckland Team Behavior tool. Secondary outcome measures included clinical performance (completion of critical tasks, time to critical intervention, documentation), self-rated teamwork (TEAM tool) and workload. Participants also answered a survey assessing their views on the coleadership model. Paired t tests and mixed-effects linear regression considering team as a random effect were used to estimate the unadjusted and adjusted associations between leadership model and the outcomes of interest. Results There was no difference between leadership models for the primary outcome of teamwork (5.3 vs. 5.3, P = 0.91). Clinical outcome measures and self-rated teamwork scores were also similar. Team leaders reported higher workload than other team members, but these were not different between the leadership models. Participants viewed coleadership positively despite no measured objective evidence of benefit. Conclusions A coleadership model did not lead to a difference in team performance within simulated maternity emergencies. Despite this, participants viewed coleadership positively.
Ambient Pressure Laser Desorption—Chemical Ionization Mass Spectrometry for Fast and Reliable Detection of Explosives, Drugs, and Their Precursors

Featured Application: Direct detection of safety relevant, low volatile substances on surfaces, ranging from tableted drugs to suspicious remnants on surfaces like bags, luggage, or even containers. Abstract: Fast and reliable information is crucial for ﬁrst responders to draw correct conclusions at crime scenes. An ambient pressure laser desorption (APLD) mass spectrometer is introduced for this scenario, which enables detecting substances on surfaces without sample pretreatment. It is especially useful for substances with low vapor pressure and thermolabile ones. The APLD allows for the separation of desorption and ionization into two steps and, therefore, both can be optimized separately. Within this work, an improved version of the developed system is shown that achieves limits of detection (LOD) down to 500 pg while remaining fast and ﬂexible. Furthermore, realistic scenarios are applied to prove the usability of this system in real-world issues. For this purpose, post-blast residues of a bomb from the Second World War were analyzed, and the presence of PETN was proven without sample pretreatment. In addition, the analyzable substance range could be expanded by various drugs and drug precursors. Thus, the presented instrumentation can be utilized for an increased number of forensically important compound classes without changing the setup. Drug precursors revealed a LOD ranging from 6 to 100 ng. Drugs such as cocaine hydrochloride, heroin, (3,4-methylendioxy-methamphetamine) hydrochloride (MDMA) hydrochloride, and others exhibit a LOD between 10 to 200 ng.
Scenarios for modeling solar radiation modification

Significance The benefits and risks of solar radiation modification (SRM; also known as solar geoengineering) need to be evaluated in context with the risks of climate change and will depend on choices such as the amount of cooling. One challenge today is a degree of arbitrariness in the scenarios used in current SRM simulations, making comparisons difficult both between SRM and non-SRM cases and between different SRM scenarios. We address this gap by 1) defining a set of plausible scenarios capturing a range of choices and uncertainties, and 2) providing simulations of these scenarios that can be broadly used for comparative impact assessment. This is an essential precursor to any international assessment by, e.g., the Intergovernmental Panel on Climate Change.
Efficient Registration for Human Surfaces via Isometric Regularization on Embedded Deformation

3D registration is a fundamental step to obtain the correspondences between surfaces. Traditional mesh alignment methods tackle this problem through non-rigid deformation, mostly accomplished by applying ICP-based (Iterative Closest Point) optimization. The embedded deformation method is proposed for the purpose of acceleration, which enables various real-time applications. However, it regularizes on an underlying simplified structure, which could be problematic for intricate cases when the simplified graph doesn't fully represent the surface attributes. Moreover, without elaborate parameter-tuning, deformation usually performs suboptimally, leading to slow convergence or a local minimum if all regions on the surface are assumed to share the same rigidity during the optimization. In this article, we propose a novel solution that decouples regularization from the underlying deformation model by explicitly managing the rigidity of vertex clusters. We further design an efficient two-step solution that alternates between isometric deformation and embedded deformation with cluster-based regularization. Our method can easily support region-adaptive regularization with cluster refinement and execute efficiently. Extensive experiments demonstrate the effectiveness of our approach for mesh alignment tasks even under large-scale deformation and imperfect data. Our method outperforms state-of-the-art methods both numerically and visually.
Hybridization of Evolutionary Operators with Elitist Iterated Racing for the Simulation Optimization of Traffic Lights Programs

Abstract In the traffic light scheduling problem, the evaluation of candidate solutions requires the simulation of a process under various (traffic) scenarios. Thus, good solutions should not only achieve good objective function values, but they must be robust (low variance) across all different scenarios. Previous work has shown that combining IRACE with evolutionary operators is effective for this task due to the power of evolutionary operators in numerical optimization. In this article, we further explore the hybridization of evolutionary operators and the elitist iterated racing of IRACE for the simulation–optimization of traffic light programs. We review previous works from the literature to find the evolutionary operators performing the best when facing this problem to propose new hybrid algorithms. We evaluate our approach over a realistic case study derived from the traffic network of Málaga (Spain) with 275 traffic lights that should be scheduled optimally. The experimental analysis reveals that the hybrid algorithm comprising IRACE plus differential evolution offers statistically better results than the other algorithms when the budget of simulations is low. In contrast, IRACE performs better than the hybrids for a high simulations budget, although the optimization time is much longer.
Re-Aiming Equity Evaluation in Clinical Decision Support

Objective: We critically evaluated the surgical literature to explore the prevalence and describe how equity assessments occur when using clinical decision support systems. Background: Clinical decision support (CDS) systems are increasingly used to facilitate surgical care delivery. Despite formal recommendations to do so, equity evaluations are not routinely performed on CDS systems and underrepresented populations are at risk of harm and further health disparities. We explored surgical literature to determine frequency and rigor of CDS equity assessments and offer recommendations to improve CDS equity by appending existing frameworks. Methods: We performed a scoping review up to Augus 25, 2021 using PubMed and Google Scholar for the following search terms: clinical decision support, implementation, RE-AIM, Proctor, Proctor’s framework, equity, trauma, surgery, surgical. We identified 1415 citations and 229 abstracts met criteria for review. A total of 84 underwent full review after 145 were excluded if they did not assess outcomes of an electronic CDS tool or have a surgical use case. Results: Only 6% (5/84) of surgical CDS systems reported equity analyses, suggesting that current methods for optimizing equity in surgical CDS are inadequate. We propose revising the RE-AIM framework to include an Equity element (RE2-AIM) specifying that CDS foundational analyses and algorithms are performed or trained on balanced datasets with sociodemographic characteristics that accurately represent the CDS target population and are assessed by sensitivity analyses focused on vulnerable subpopulations. Conclusion: Current surgical CDS literature reports little with respect to equity. Revising the RE-AIM framework to include an Equity element (RE2-AIM) promotes the development and implementation of CDS systems that, at minimum, do not worsen healthcare disparities and possibly improve their generalizability.
The psychosocial impact of dental aesthetics and experiencing discrimination at a Peruvian public hospital among outpatients

Aim To evaluate the association between outpatient’s perceived psychosocial impact of dental aesthetics and experiencing discrimination at a Peruvian public hospital. Material and methods Cross-sectional study in a Peruvian public hospital, where 207 outpatients (18–30 years old) were surveyed. We asked participants about self-reported experiences of discrimination in the last six months at a Peruvian public hospital using a question from the Peruvian National Household Survey on Living Conditions and Poverty (ENAHO) 2017. We also measured the perceived psychosocial impact of dental aesthetics with the Psychosocial Impact of Dental Aesthetics Questionnaire (PIDAQ). Additionally, we evaluated age, sex, ethnicity, education, income, and reason for being discriminated against. Association was assessed with Poisson regression using a robust estimator of variance and reporting prevalence ratios with 95% confidence intervals in crude and adjusted models. Results About two out of every five participants having experienced discrimination at a Peruvian public hospital in the last six months. On our adjusted estimates, we found discrimination to be positively associated with two components of the psychosocial impact of dental aesthetics, which were social impact (PR 1.02, 95% CI 1.00–1.04) and the psychological impact (PR 1.07, 95% CI 1.04–1.10). Conversely, dental self-confidence (PR 0.96, 95% CI 0.93–0.98) was negatively associated with discrimination. Conclusions The perceived psychosocial impact of dental aesthetics is associated with experiencing discrimination among outpatients from a Peruvian public hospital. We advocate for structural changes to address discrimination in healthcare spaces by corresponding governmental authorities.
Rapid quantitative monitoring of SARS‐CoV‐2 spike protein‐mediated syncytia formation using split NanoLuc

SARS‐CoV‐2 infection causes syncytial pneumocyte in patients and this has been considered as a defining feature of severe COVID‐19 cases. Traditional methods of syncytia quantification require the morphology characterization of fused cells either with light microscope or fluorescent microscope, which is time‐consuming and not accurate. Here we developed a rapid and sensitive coculture system measuring spike‐induced syncytia by using NanoLuc complementation system. We found the formation of syncytia occurred rapidly after ACE2‐expressing cells exposure to spike protein. In addition, we found furin cleavage as well as the cell surface protease TMPRSS2 enhanced syncytia formation. Finally, we showed that this coculture system can be used to test the ability of different compound to inhibit syncytia formation, thus providing a useful tool to screen anti‐syncytial drugs.
Submit to survive: an exploration of sexual cleansing as an act of violence against widows in the Luo community of Kenya

Abstract In this paper, the sexual ‘cleansing’ of widows and subsequent inheritance is assessed for its socio-cultural significance. Although the practice has been well studied in the context of HIV in Sub-Saharan Africa, it has not been widely examined as an act of sexual violence against women. To address this gap, in-depth interviews were conducted with 27 widows aged 29 to 90 years in Siaya County in Southwest Kenya. A majority of participants stated the cleansing ritual was forcefully initiated, violently fulfilled, and frequently seen as rape. Findings from this study necessitate the identification of the cultural practice of widow cleansing as an act of violence against women. Doing so will facilitate the creation of a legal framework with which to act to eliminate the practice.
Microglial angiotensin type 2 receptors mediate sex‐specific expression of inflammatory cytokines independently of circulating estrogen

There are sex differences in microglia, which can maintain sex‐related gene expression and functional differences in the absence of circulating sex steroids. The angiotensin type 2 (AT2) receptors mediate anti‐inflammatory actions in different tissues, including brain. In mice, we performed RT‐PCR analysis of microglia isolated from adult brains and RNA scope in situ hybridization from males, females, ovariectomized females, orchiectomized males and brain masculinized females. We also compared wild type and AT2 knockout mice. The expression of AT2 receptors in microglial cells showed sex differences with much higher AT2 mRNA expression in females than in males, and this was not dependent on circulating gonadal hormones, as observed using ovariectomized females, brain masculinized females and orchiectomized males. These results suggest genomic reasons, possibly related to sex chromosome complement, for sex differences in AT2 expression in microglia, as the AT2 receptor gene is located in the X chromosome. Furthermore, sex differences in expression of AT2 receptors were associated to sex differences in microglial expression of key anti‐inflammatory cytokines such as interleukin‐10 and pro‐inflammatory cytokines such as interleukin‐1β and interleukin‐6. In conclusion, sex differences in microglial AT2 receptor expression appear as a major factor contributing to sex differences in the neuroinflammatory responses beyond the effects of circulating steroids.
Bio-inspired sensing and control for disturbance rejection and stabilization

The successful operation of small unmanned aircraft systems (sUAS) in dynamic environments demands robust stability in the presence of exogenous disturbances. Flying insects are sensor-rich platforms, with highly redundant arrays of sensors distributed across the insect body that are integrated to extract rich information with diminished noise. This work presents a novel sensing framework in which measurements from an array of accelerometers distributed across a simulated flight vehicle are linearly combined to directly estimate the applied forces and torques with improvements in SNR. In simulation, the estimation performance is quantified as a function of sensor noise level, position estimate error, and sensor quantity.
Evidence-Based Clinical Decision Support to Improve Care for Patients Hospitalized With Acute Myocardial Infarction

Clinical decision support in the EHR is an innovation that can support guideline adherence in acute myocardial infarction. Cardiac rehabilitation referral and left ventricular systolic function assessment are part of evidence-based clinical practice guidelines associated with reduced morbidity and mortality following acute myocardial infarction. Effective clinical decision support is sustained by evidence-based principles for design and implementation. This quality improvement project evaluated the impact of practice advisories designed using principles of effective clinical decision support design to improve performance of left ventricular systolic function assessment and ambulatory referral to cardiac rehabilitation for patients hospitalized with acute myocardial infarction. Performance in cardiac rehabilitation referral and left ventricular systolic function assessment was measured for a 3-month interval pre- and post-intervention. Pre-implementation, cardiac rehabilitation referral or valid documented reason for non-referral was 80.3%. Rehabilitation referral or documented valid reason for non-referral increased to 98.4% post-implementation (P < .001). Left ventricular systolic function assessment increased from 94.2% to 100% following clinical decision support implementation (P = .120). This quality improvement project supports the positive impact of effective clinical decision support design and implementation to improve outcomes for patients hospitalized with acute myocardial infarction.
Challenges and best practices for hepatitis C care among people who inject drugs in resource limited settings: focus group discussions with healthcare providers in Kenya

ABSTRACT People who inject drugs (PWID) living with Hepatitis C (HCV) in low- and middle-income countries face substantial barriers to HCV care. We sought to gain healthcare providers’ perspectives on challenges and best practices for HCV care provision among PWID in Kenya. We conducted three focus group discussions (FGD) with 23 healthcare providers working with PWID living with HCV in Nairobi and Mombasa. Transcribed interviews were analysed thematically. Overarching themes regarding HCV prevention and treatment were: (1) lack of HCV-related knowledge at the provider and patient levels; (2) stigmatisation of people living with HCV and PWID; and (3) difficulties among PWID with navigating the healthcare system. Some providers suggested systematically integrating HCV care into existing PWID-specific harm reduction programs to improve HCV care provision as well as creating national HCV guidelines to guide clinicians. This study highlights the need for national HCV treatment guidelines and increased public HCV education, as well as culturally sensitive models integrating HCV care into programs PWID are already accessing. These strategies will be useful in improving access to HCV care among PWID and has the potential to decrease HCV transmission and prevalence among this vulnerable population.
Elucidation of the tyrosinase/O2/monophenol ternary intermediate that dictates the monooxygenation mechanism in melanin biosynthesis

Significance Melanins are ubiquitous photoprotective biopolymer pigments with major implications ranging from fruit browning to severe human diseases, including skin cancer. Tyrosinase, the enzyme catalyzing the rate-limiting step in melanin biosynthesis is thus an important biotechnological and therapeutic target. Tyrosinase contains a coupled binuclear copper active site that binds dioxygen to form a μ-η2:η2-peroxide dicopper(II) intermediate (oxy-tyrosinase) which is activated toward the regioselective aromatic monooxygenation of para-substituted monophenols via a poorly defined mechanism. Here, we have employed spectroscopic, kinetic, and computational methods to trap and characterize the elusive catalytic ternary intermediate formed upon monophenol binding to oxy-tyrosinase and elucidate the mechanism of the subsequent monooxygenation reaction. This study provides unprecedented molecular-level insights into the rate-limiting step in melanin biosynthesis.
Waveguide-enhanced grazing-incidence small-angle x-ray scattering of buried nanostructures in thin films

X-ray standing waves generated by the interference of the scattered x rays from parallel surfaces of a thin film, the so-called waveguide effect, can be used to enhance or reduce the scatterings from certain depths of the film. Used in combination with grazing-incidence small-angle x-ray scattering, this resonance effect provides depth sensitivity to extract buried structures in thin films of polymer and polymer/nanoparticle nanocomposite, which are not readily accessible by most surface techniques, such as scanning probe microscopy. We developed a rigorous theory of the diffuse scattering in the framework of the distorted-wave Born approximation using a discretization method analogous to Parratt's recursive formalism. In such a case, the distortion of the electric field of the unperturbed state from the nanostructures of interest is considered in a self-consistent manner. This theory allows a quantitative determination of the buried nanostructures when the x-ray waveguide enhancement is present or the size of the nanostructures of interest is comparable to or larger than the spatial frequency of electric-field intensity modulation. A unique capability afforded by this theory is that a nanometer or even subnanometer spatial resolution can be achieved in the depth information of the buried nanostructures, along with the in-plane correlation ofmore » the structures. « less