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The increasing volumes of data produced at light sources such as the Linac Coherent Light Source (LCLS) enable the direct observation of materials and molecular assemblies at the length and timescales of molecular and atomic motion. This exponential increase in the scale and speed of data production is prohibitive to traditional analysis workflows that rely on scientists tuning parameters during live experiments to adapt data collection and analysis. User facilities will increasingly rely on the automated delivery of actionable information in real time for rapid experiment adaptation which presents a considerable challenge for data acquisition, data processing, data management, and workflow orchestration. In addition, the desire from researchers to accelerate science requires rapid analysis, dynamic integration of experiment and theory, the ability to visualize results in near real-time, and the introduction of ML and AI techniques. We present the LCLS-II Data System architecture which is designed to address these challenges via an adaptable data reduction pipeline (DRP) to reduce data volume on-thefly, online monitoring analysis software for real-time data visualization and experiment feedback, and the ability to scale to computing needs by utilizing local and remote compute resources, such as the ASCR Leadership Class Facilities, to enable quasi-real-time data analysis in minutes. We discuss the overall challenges facing LCLS, our ongoing work to develop a system responsive to these challenges, and our vision for future developments.

Background: There is no definitive objective measure for diagnosis of thoracic outlet syndrome (TOS), and functional capacity testing on standardized rehabilitation exercises before and after an anterior scalene muscle block (ASMB) has the potential to serve as a predictor of response to surgery and to improve diagnostic accuracy in these cases., Methods: Patients evaluated for TOS underwent ASMB as a diagnostic test and were retrospectively reviewed. Functional capacity scores were recorded for patients performing repetitive motion exercises immediately before ASMB, 15 minutes after ASMB, and at a minimum of 6 weeks after thoracic outlet decompression (TOD). The primary outcome of interest was correlation between the pre- to post-ASMB difference and the pre-ASMB to postoperative difference with respect to 3 functional work capacity scores., Results: The average change in time-to-fatigue and work product between pre- and post-ASMB of all exercises was an increase of 39.5% and 53.8%, respectively. The greatest pre-ASMB to post-TOD difference was seen for the Extremity Abduction Stress Test with an average improvement of 109.7% and 150.4% for time-to-fatigue and work product, respectively. The degree of percent improvement post-ASMB correlated positively with the degree of percent improvement post-TOD for all exercises with respect to work product and time-to-fatigue., Conclusions: Patient response to ASMB as measured by functional capacity on rehabilitation exercises predicted objective functional outcomes following TOD. Post-ASMB outcomes correlated with post-TOD outcomes. The ASMB can be used to assist in diagnosing TOS and provide a surrogate for expectation in patients considering undergoing neurogenic TOD., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Forage fishes are key energy conduits that transfer primary and secondary productivity to higher trophic levels. As novel environmental conditions caused by climate change alter ecosystems and predator-prey dynamics, there is a critical need to understand how forage fish control bottom-up forcing of food web dynamics. In the northeast Pacific, northern anchovy ( Engraulis mordax ) is an important forage species with high interannual variability in population size that subsequently impacts the foraging and reproductive ecology of marine predators. Anchovy habitat suitability from a species distribution model (SDM) was assessed as an indicator of the diet, distribution and reproduction of four predator species. Across 22 years (1998-2019), this anchovy ecosystem indicator (AEI) was significantly positively correlated with diet composition of all species and the distribution of common murres ( Uria aalge ), Brandt's cormorants ( Phalacrocorax penicillatus ) and California sea lions ( Zalophus californianus ), but not rhinoceros auklets ( Cerorhinca monocerata ). The capacity for the AEI to explain variability in predator reproduction varied by species but was strongest with cormorants and sea lions. The AEI demonstrates the utility of forage SDMs in creating ecosystem indicators to guide ecosystem-based management.