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BackgroundThe need to rapidly adapt to patient, learner and market needs during the pandemic has led to an expanded focus on telework and telehealth. Now, with increasing calls to return part-time to in-person work, there is a growing need for guidance on making the deliberate and thoughtful change to hybrid work. Hybrid work introduces challenges related to physical space, education and supervision, and presenteeism. Hybrid work offers opportunities for flexibility, geographic diversity in learners and educators, autonomy, and mitigation of some of the challenges experienced in solely in-person or solely remote work. Our own experiences in navigating this transition in an academic medical center suggest that hybrid work can be a unique experience, worthy of its own body of literature. This article is intended to bring together and support conversations happening between individuals, particularly mental health providers, around hybrid clinical work and supervision. Our hope is to facilitate further discussion and identify possible areas of future research related to this evolving work model.
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http://dx.doi.org/10.1080/00332747.2025.2499355 | DOI Listing |
Sex Transm Dis
September 2025
Division of General Internal Medicine, Department of Medicine, Albert Einstein College of Medicine, Montefiore Health System, Bronx, NY, USA.
Background: Men who have sex with men (MSM) and transgender women (TGW) are at elevated mpox risk; vaccination can greatly reduce that risk. We assessed mpox awareness and vaccine acceptability among MSM and TGW.
Methods: In 2022, hybrid-mode (offline/online) surveys were administered among 250 MSM and 251 TGW in Chennai, India.
J Phys Chem Lett
September 2025
Tianjin Key Laboratory of Film Electronic and Communication Devices, School of Integrated Circuit Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.
Achieving UVA/B-selective, skin-inspired nociceptors with perception and blockade functions at the single-unit device level remains challenging. This is because the device necessitates distinct components for every performance metric, thereby leading to complex preparation processes and restricted performance, as well as the absence of deep UV (UVB and below)-selective semiconductors. Here, to address this, we develop a structure-simplification skin-inspired nociceptor using a reverse type-II CuAgSbI/MoS heterostructure.
View Article and Find Full Text PDFJ Mater Chem B
September 2025
Department of Chemistry, University of Waterloo, 200 University Ave. West, Waterloo, ON N2L 3G1, Canada.
Conjugated polymer nanoparticles (CPNs), especially poly(-phenylene ethynylene) nanoparticles (PPE-NPs), are promising candidates for bio-imaging due to their high photostability, adjustable optical characteristics, and biocompatibility. Despite their potential, the fluorescence mechanisms of these nanoparticles are not yet fully understood. In this work, we modeled a spherical PPE-NP in a water environment using 30 PPE dimer chains.
View Article and Find Full Text PDFFood Res Int
November 2025
Department of Food Analysis and Nutrition, Faculty of Food and Biochemical Technology, University of Chemistry and Technology Prague, Technická 5, 166 28, Prague 6 - Dejvice, Prague, Czech Republic.
Chili peppers have been under the spotlight of bioactivity research as they feature a diverse and rich phytochemical profile with multiple health promoting effects. These beneficial properties are related to the chemical composition of chili peppers and is of utmost importance to identify varieties with the strongest bioprospecting potential. In this study, 19 chili pepper varieties were investigated originating from Capsicum annuum L.
View Article and Find Full Text PDFJ Phys Chem Lett
September 2025
Key Laboratory of Theoretical and Computational Photochemistry, Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
In this work, we present a machine learning (ML) approach for predicting the optimal range separation parameters in transition metal complexes (TMCs), aiming to reduce the computational cost associated with optimally tuned range-separated hybrid (OT-RSH) functionals while preserving their accuracy. A data set containing 4380 TMCs was constructed by screening the tmQM database, with each TMC represented by a 62 087-dimensional multiple-fingerprint feature (MFF) vector and labeled with its optimally tuned range separation parameter. Multiple regression models were applied to train the prediction model, and the support vector machine (SVM) model yielded the best performance.
View Article and Find Full Text PDF