NeuroComp Systems (United States)

Defense innovations in sensing, autonomy, and information fusion have matured rapidly over the last two decades. As cities face complex crime problems, several of these capabilities—automated license plate recognition, drone-as-first-responder, AI-enabled video analytics, counter-uncrewed aircraft systems, and structured open-source intelligence—are migrating from the battlefield to public safety. This paper develops an applied evaluation and implementation blueprint to determine whether and under what conditions these defense-derived systems reduce crime harm rather than merely shifting offending in space or time; which components of the sensor→fusion→analytics→command-and-control→responder stack deliver measurable operational leverage; what safeguards convert algorithmic detections into lawful stops and durable courtroom outcomes; and how agencies can scale without vendor lock-in, data silos, or brittle operations. We propose a mixed methods design that combines staggered-adoption difference-in-differences and synthetic control with time-to-event models, paired with qualitative inquiry into chain of- custody, discovery practice, and suppression-hearing survivability. A focal case study examines automated license plate recognition (ALPR) deployments from Flock Safety as a natural experiment due to high-resolution deployment and audit logs. Companion analyses outline performance metrics for drone-as-first-responder (DFR) architectures exemplified by Aerodome, autonomous low-light operations illustrated by Skydio, structured OSINT pipelines, and counter-UAS sensing for stadiums and critical infrastructure. We specify a capability maturity model, procurement and data governance controls, equity monitoring, and a practitioner dashboard to ensure that sensor-to-responder workflows translate to measurable reductions in harm-weighted crime, faster response, higher clearance, and stronger prosecutorial outcomes.

To explore mental health consumer and provider responses to a computerized version of the Illness Management and Recovery (IMR) program. Semistructured interviews were conducted to gather data from 6 providers and 12 consumers who participated in a computerized prototype of the IMR program. An inductive-consensus-based approach was used to analyze the interview responses. Qualitative analysis revealed consumers perceived various personal benefits and ease of use afforded by the new technology platform. Consumers also highly valued provider assistance and offered several suggestions to improve the program. The largest perceived barriers to future implementation were lack of computer skills and access to computers. Similarly, IMR providers commented on its ease and convenience, and the reduction of time intensive material preparation. Providers also expressed that the use of technology creates more options for the consumer to access treatment. The technology was acceptable, easy to use, and well-liked by consumers and providers. Clinician assistance with technology was viewed as helpful to get clients started with the program, as lack of computer skills and access to computers was a concern. Access to materials between sessions appears to be desired; however, given perceived barriers of computer skills and computer access, additional supports may be needed for consumers to achieve full benefits of a computerized version of IMR.

Prior studies indicate that older women fall more often than men although there is no evidence of gender-based balance differences. Using a force platform, we measured the effects of restricted sensory input and support surface movement to detect gender differences in balance. Healthy, elderly community dwellers (N = 234, mean age = 76 +/- 5 years, 52% female) were administered the following perturbations on the balance platform: The platform and/or visual surround were fixed or tilted proportionally to the subject's sway with the eyes open or closed, forward or backward horizontal translations, and toes-up and toes-down rotations. Gender-based balance differences were not present during quiet standing, or when the support surface or visual input were manipulated separately. Women swayed and lost their balance more than men when the surface was sway-referenced while vision was compromised, but by the third trial their sway control was comparable to the men. Women also initially lost their balance more frequently than men during toes-up and -down rotations, and compared to men continued to lose their balance more often during repeated toes-up rotations. Finally, women developed less angular momentum than men in response to forward platform rotations. Elderly women show impairments of balance when simultaneously deprived of visual and somatosensory inputs or during a backwards destabilization. Since there is little evidence for a CNS source for such gender differences, biomechanical origins (e.g., dorsiflexion strength and range of motion) are a more likely cause. Limited postural control of women under conditions stressing balance may explain their greater frequency of falling.