Mouritzenbaker8023

g., pansexual or queer). Experiences with homophobia were prevalent across generations, and intersected with racism and economic oppressions, but younger people more often described support from institutional agents. Participants' sense of community and commitment to giving back after experiences of trauma motivated them to engage in social justice work. Our findings highlight the intersectional nature of oppressions faced by LGBTQ people and the need for organizations to move away from focusing exclusively on homophobic oppression as a monolith.Six dinuclear lanthanide(III) nitrato complexes [Ln(NO3)3(H2O)]2(μ-tppz) (where tppz = 2,3,5,6-tetra(2-pyridyl) pyrazine and Ln(III) = Nd (1), Sm (2), Eu (3), Gd (4), Tb (5), and Dy (6)) with bis-tridentate N-heterocyclic 2,3,5,6-tetra(2-pyridyl)pyrazine as bridging ligand have been solvothermally synthesized and characterized via elemental analysis, infrared spectroscopy, thermogravimetric analysis, single-crystal X-ray diffraction, and powder X-ray diffraction. The 3-D Hirshfeld surface and 2-D fingerprint plots show that the main interactions in 1-6 are the O⋯H/H⋯O intermolecular interactions with relative contributions of about 62%. Although the poor lanthanide(III)-centered luminescence properties clearly point to the efficiency of nonradiative quenching processes (presence of water molecules in the coordination sphere of the lanthanide(III) ions), the ligand tppz is better suited to sensitize the lanthanide(III)'s emissions of EuIII and NdIII than SmIII, TbIII, and DyIII. selleck products Finally, the magnetic data of DyIII comple×6 reveals antiferromagnetic coupling between DyIII ions.Heterocycles that bear the novel 5,6,14,14a-tetrahydro-8H-benzo[6,7][1,4] thiazepino[3,4-a]isoquinoline and the 5,6,14,14a-tetrahydro-8H-13l2-benzo [6,7][1,4]diazepino[3,4-a]isoquinoline frameworks were synthesized in a facile manner. These tetrahydroprotoberberine (THPB)-inspired scaffolds demonstrate selective affinity for the σ1R in contrast to the naturally occurring THPB congeners that show D1R and σ2R selectivity.We propose a novel material characterization method to estimate the Young's modulus of thin 2-D structures using non-modal noisy single frequency harmonic vibration data measured with holography. The method uses finite-difference discretization to apply the plate equation to all measured pixels inside the boundary of the vibrating structure and then treats the problem as a Bayesian optimization process to find the value of the Young's modulus by minimizing the Euclidian distance between the measured displacement field and repeatedly calculated displacement field using the plate equation. In order to assess the accuracy of the method, ground truth harmonic displacement magnitude fields of different plates were obtained using analytical solutions and the finite-element method and were used to estimate the Young's moduli. We applied Gaussian and non-Gaussian noise with different intensities to assess the robustness and accuracy of the proposed material characterization method in the presence of noise. We demonstrated that for multiple benchmarks for signal to noise ratio of down to 0 dB, our proposed method had errors of less than 5%. link2 We also quantified the effects of uncertainties in the geometrical and material parameters as well as boundary conditions on the estimated Young's modulus. Furthermore, we studied the effects of the mesh size on the runtime and applied the method to experimental holography vibration measurement data of a copper plate.In the global competition of higher education, an increasing emphasis has been placed on university research excellence. Accordingly, academics have to engage in both research and teaching activities. The multiple and fragmented identities of academics can sometimes be contested, leading to identity tensions, and impeding their professional development. This raises the issue of how, and whether at all, academics integrate their professional identities in a culture of performativity. Against this backdrop, this qualitative study explored how a specific group of Chinese academics negotiate identity tensions as teachers and researchers through an emotional resilience lens. The narrative frames and interviews with 10 college English teachers yielded four types of identity negotiation in the continuum from identity conflicts to identity integration mediated by emotional resilience, including the disheartened performer, the miserable follower, the strenuous accommodator, and the fulfilled integrator. Emotional resilience as a mediator in professional identity tensions is discussed. Our findings offer a nuanced understanding of the complexity of academics developing an integrated professional identity. Policymakers should recognize the potential of emotional resilience in integrating academic professional identities and jointly support academics to cope with their identity tensions. However, if identity tensions are too complex for academics to solve, the policymakers should consider tensions as signals that the existing institutional policies may be counterproductive and need to be revised, rather than merely calling on academics' resilience.Hormonal contraceptives are an effective and safe method for preventing pregnancy. Progestins used in contraception are either components of combined hormonal contraceptives (tablets, patches or vaginal rings) or are used as a single active ingredient in progestin mono-preparations (the progestin-only pill (POP), implants, intrauterine systems or depot preparations). Progestins are highly effective in long-term contraception when used properly, and have a very good safety profile with very few contraindications. A new oestrogen-free ovulation inhibitor (POP) has recently been authorised in the USA and the EU. This progestin mono-preparation contains 4 mg of drospirenone (DRSP), which has anti-gonadotropic, anti-mineralocorticoidic and anti-androgenic properties. The hormone administration regimen of 24 days followed by a 4-day hormone-free period was chosen to improve bleeding control and to maintain oestradiol concentrations at early follicular-phase levels, preventing oestrogen deficiency. Clinical trials have demonstrated a high contraceptive effectiveness, a very low risk of cardiovascular side effects and a favourable menstrual bleeding pattern. Due to the long half-life of DRSP (30 - 34 hours), the effectiveness of the preparation is maintained even if a woman forgets to take a pill on a single occasion. Studies involving deliberate 24-hour delays in taking a pill have demonstrated that ovulation inhibition is maintained if a single pill is missed. Following a summary of the current status of oestrogen-free contraception, this review article will describe the clinical development programme of the 4 mg DRSP mono-preparation and the resulting data on the effectiveness and safety of this new oestrogen-free oral hormonal contraceptive.The COVID-19 pandemic kept people at home, in either a voluntary or non-voluntary capacity, in many countries. These suggested countermeasures were prominent in the so-called initial waves of the pandemic, especially from March 2020 to May 2020. As people stayed home, in many cases restaurants were closed. As a result, people spent more time in their kitchen, not only to cook meals but also as a personal hobby. It is well known that cooking fires are a main cause of fires in residential homes. link3 In this study, the change in the number of cooking fires in residential homes as well as the number of residential fires during these COVID-19 countermeasure periods were examined in four cities New York City (USA), San Francisco (USA), Tokyo (Japan), and London (UK). The time period examined was from January to June in 2020 in order to grasp overall effects of stay-at-home measures on fire incidents. The number of cooking fires and residential fires increased in Tokyo and San Francisco, while the number of cooking fires in New York City (no data was obtained for cooking fires in London.) and the number of residential fires in New York City and London remained similar to previous years.The costs of an objective structured clinical examination (OSCE) are of concern to health profession educators globally. As OSCEs are usually designed under generalizability theory (G-theory) framework, this article proposes a machine-learning-based approach to optimize the costs, while maintaining the minimum required generalizability coefficient, a reliability-like index in G-theory. The authors adopted G-theory parameters yielded from an OSCE hosted by a medical school, reproduced the generalizability coefficients to prepare for optimizing manipulations, applied simulated annealing algorithm to calculate the number of facet levels minimizing the associated costs, and conducted the analysis in various conditions via computer simulation. With a given generalizability coefficient, the proposed approach, virtually an instrument of decision-making supports, found the optimal solution for the OSCE such that the associated costs were minimized. The computer simulation results showed how the cost reductions varied with different levels of required generalizability coefficients. Machine learning-based approaches can be used in conjunction with psychometric modeling to help planning assessment tasks more scientifically. The proposed approach is easy to adopt into practice and customize in alignment with specific testing designs. While these results are encouraging, the possible pitfalls such as algorithmic convergences' failure and inadequate cost assumptions should also be avoided.A procedure for evaluating the average R-squared index for a given set of observed variables in an exploratory factor analysis model is discussed. The method can be used as an effective aid in the process of model choice with respect to the number of factors underlying the interrelationships among studied measures. The approach is developed within the framework of exploratory structural equation modeling and is readily applicable with popular statistical software. The outlined procedure is illustrated using a numerical example.This article presents some equivalent forms of the common Kuder-Richardson Formula 21 and 20 estimators for nondichotomous data belonging to certain other exponential families, such as Poisson count data, exponential data, or geometric counts of trials until failure. Using the generalized framework of Foster (2020), an equation for the reliability for a subset of the natural exponential family have quadratic variance function is derived for known population parameters, and both formulas are shown to be different plug-in estimators of this quantity. The equivalent Kuder-Richardson Formulas 20 and 21 are given for six different natural exponential families, and these match earlier derivations in the case of binomial and Poisson data. Simulations show performance exceeding that of Cronbach's alpha in terms of root mean square error when the formula matching the correct exponential family is used, and a discussion of Jensen's inequality suggests explanations for peculiarities of the bias and standard error of the simulations across the different exponential families.