This article aims to support recent efforts to embed social justice and expand upon advocacy as an essential competency in health service psychology (HSP) training. Existing HSP competency models emphasize equity, diversity, and inclusion and prioritize culturally responsive care, but neglect training to effect social justice, overlook systems-level critical consciousness, and conceptualize advocacy as a peripheral instead of central. Many HSP training experiences (assessment, intervention, consultation, supervision, etc.) do not require an active posture toward structural inequities, but advocacy is inherently action-oriented, making it uniquely suited as a structural competency training tool. To operationalize advocacy as a domain of a recently proposed structural competency model of HSP training, we integrate multicultural counseling competence and HSP positionality. This approach, termed personalized antioppressive advocacy, requires HSPs to identify, describe, and act against structural barriers to mental health care. A case study is included to illustrate personalized antioppressive advocacy, and training goals and objectives for outcome assessment are proposed. Together, this responds to calls to integrate and operationalize training standards and aligns with American Psychological Association's mission to actively dismantle barriers to optimal human functioning. Public Significance Statement This article supports efforts in health service psychology training to include advocacy as a required skill by proposing concrete goals/objectives for identifying, describing, and acting against systemic inequity. This approach illustrates how the active nature of advocacy supports psychologists' understanding of the reciprocal impact of their personal identity and sociocultural, historical, systemic, and political contexts to better prepare psychologists to enact social justice.
Objective As natural disasters become more frequent and severe, examining their impact on health care access is increasingly important. This study was a community-level assessment of the effects of flooding and COVID-19 on access to health care services.Methods This study utilized a self-administered survey in flood-prone Houston communities. Bivariable associations of having experienced flooding damage, as well as having a history of COVID-19 diagnoses, were examined by demographics and health care access using chi-square analyses, t-tests, and both unadjusted and adjusted logistic and Poisson regression models.Results Among 206 surveys, 20.39% reported homes or vehicles lost to flooding, and 33.5% had been diagnosed with COVID-19. Those who experienced flooding were 3 times more likely to report their closest hospital closed, their doctor's office closed, delays filling prescriptions, not getting needed medical care, and delayed medical care access. Experiencing both COVID-19 and flooding was even more strongly associated with the frequency of health care services lost.Conclusions These findings highlight the need for expanded health care access and support services that accommodate localized damages in communities susceptible to adverse events. Future planning for disasters should include plans for expanded access to health care resources for those with comorbidities and low-socioeconomic groups.
This essay is a follow up to three others published in Religion Compass in 2011 which survey research on Hindutva (Hindu nationalism or political hinduism), covering its seminal ideologies and its evolution into multiple modes of practice. I focus now on the period from 2014 to the present, when the BJP under Narendra Modi has been in political office. This essay therefore considers the forms that Hindutva assumes as a means and tool of governance, and the wide, contentious field of cultural politics it continues to shape beyond state office. The unwieldiness of 'Hindutva' in the present moment (and the commensurately large volume of scholarly writing) can be parsed by thinking of it as expressed in two overlapping but still distinct forms: one which uses the institutional and bureaucratic apparatus of the state by which to manifest core ideologies, and the other which far exceeds formal channels and makes use of all available means to decry, challenge, or enforce a political status quo. These many layers of increasingly polarised, intractable politics have heightened the need for opposition and activism, limiting room for dialogic and reflexive work which may be equally invaluable in addressing Hindutva challenges.
A modular synthetic route has been developed to prepare a new series of cationic ruthenium(II) complexes with electron-withdrawing 1,2-diacylcyclopentadienyl ligands. The 2-acyl-6-hydroxyfulvenes were synthesized from cyclopentadienide and acyl chlorides and converted to Tl(I) cyclopentadienyl salts using Tl2SO4/KOH. Transmetalation with [Ru(eta 6-p-cymene)(mu-Cl)Cl]2 followed by PF6- metathesis gives the complexes [Ru{eta 5-1,2-C5H3(CO-R)2}(eta 6-p-cymene)][PF6] (R = t-Bu, p-Tol, p-ClC6H4, p-IC6H4) in moderate to high yields. The new compounds were characterized by NMR and IR spectroscopy; mass spectrometry and elemental analysis were performed where applicable. X-ray analysis of one of the complexes confirms that electron-deficient Cp ligands retain eta 5-coordination and structural planarity within Ru(II)-arene sandwich architectures, highlighting their potential utility in electronically tunable organometallic frameworks.
Accurate 3D medical segmentation is limited by anatomical variability and high computational costs. While knowledge distillation (KD) offers a route for model compression, conventional methods often fail to preserve complex structures and are overwhelmed by background noise. We propose Displacement-Preserving Relational Distillation (DPRD), which distills latent anatomical trajectories via vector based alignment to preserve the orientation and relative scale of the teacher's manifold, and prevents signal dilution by anchoring distillation in task-relevant structures. Integrated into nnU-Net, DPRD outperforms established baselines on ISLES 2022 and AMOS 2022 benchmarks. Notably, on the AMOS dataset, DPRD achieves a Dice score of 85.46
