Depression and Distress Screening in Oncology Patients: A Descriptive Analysis.

This retrospective study aimed to describe the characteristics of cancer patients undergoing depression and distress screening at the Sidney Kimmel Cancer Center and to assess factors associated with their screening results. Data were retrieved from electronic medical records of adult Sidney Kimmel Cancer Center patients with at least one oncology encounter between January 2021 and June 2022, who underwent both depression and distress screening using the Patient Health Questionnaire-2/9 for depression and the National Comprehensive Cancer Network distress thermometer for distress during the encounter. Demographics, clinical factors, and screening results were analyzed using descriptive statistics and binary logistic regression.

A general Bayesian algorithm for the autonomous alignment of beamlines.

Autonomous methods to align beamlines can decrease the amount of time spent on diagnostics, and also uncover better global optima leading to better beam quality. The alignment of these beamlines is a high-dimensional expensive-to-sample optimization problem involving the simultaneous treatment of many optical elements with correlated and nonlinear dynamics. Bayesian optimization is a strategy of efficient global optimization that has proved successful in similar regimes in a wide variety of beamline alignment applications, though it has typically been implemented for particular beamlines and optimization tasks.

Characterization of the Epileptogenic Phenotype and Response to Antiseizure Medications in Lissencephaly Patients.

Background: Patients with lissencephaly typically present with severe psychomotor retardation and drug-resistant seizures. The aim of this study was to characterize the epileptic phenotype in a genotypically and radiologically well-defined patient cohort and to evaluate the response to antiseizure medication (ASM). Therefore, we retrospectively evaluated 47 patients of five genetic forms (, , , , ) using family questionnaires, standardized neuropediatric assessments, and patients' medical reports.

Spatial and Temporal Resolution of Cyanobacterial Bloom Chemistry Reveals an Open-Ocean as a Talented Producer of Specialized Metabolites.

While the ecological role that sp. play in nitrogen fixation has been widely studied, little information is available on potential specialized metabolites that are associated with blooms and standing stock colonies. While a collection of biological material from a bloom event from North Padre Island, Texas, in 2014 indicated that this species was a prolific producer of chlorinated specialized metabolites, additional spatial and temporal resolution was needed.