Implementation of a Rooftop Farm Integrated With a Teaching Kitchen and Preventive Food Pantry in a Hospital Setting

Safety-net hospitals serving populations with disproportionately high levels of poverty, food insecurity, and chronic disease can utilize innovative strategies to improve the health and environment of their communities. Boston Medical Center in Boston, Massachusetts, constructed an on-site rooftop farm to provide fresh produce for the hospital's preventive food pantry, teaching kitchen, cafeterias, and inpatient meal services. This novel model can be replicated by other organizations aiming to alleviate food insecurity, encourage healthy eating, and promote environmental sustainability.

Health-related Culinary Education: A Summary of Representative Emerging Programs for Health Professionals and Patients

BACKGROUND

Beneficial correlations are suggested between food preparation and home food preparation of healthy choices. Therefore, there is an emergence of culinary medicine (CM) programs directed at both patients and medical professionals which deliver education emphasizing skills such as shopping, food storage, and meal preparation.

OBJECTIVE

The goal of this article is to provide a description of emerging CM programs and to imagine how this field can mature.

METHODS

During April 2015, 10 CM programs were identified by surveying CM and lifestyle medicine leaders. Program directors completed a narrative describing their program's structure, curricula, educational design, modes of delivery, funding, and cost. Interviews were conducted in an effort to optimize data collection.

RESULTS

All 10 culinary programs deliver medical education curricula educating 2654 health professionals per year. Educational goals vary within the domains of (1) provider's self-behavior, (2) nutritional knowledge and (3) prescribing nutrition. Six programs deliver patients' curricula, educating 4225 individuals per year. These programs' content varies and focuses on either specific diets or various culinary behaviors. All the programs' directors are health professionals who are also either credentialed chefs or have a strong culinary background. Nine of these programs offer culinary training in either a hands-on or visual demonstration within a teaching kitchen setting, while one delivers remote culinary tele-education. Seven programs track outcomes using various questionnaires and biometric data.

CONCLUSIONS

There is currently no consensus about learning objectives, curricular domains, staffing, and facility requirements associated with CM, and there has been little research to explore its impact. A shared strategy is needed to collectively overcome these challenges.

Orientation-selective aVLSI spiking neurons

We describe a programmable multi-chip VLSI neuronal system that can be used for exploring spike-based information processing models. The system consists of a silicon retina, a PIC microcontroller, and a transceiver chip whose integrate-and-fire neurons are connected in a soft winner-take-all architecture. The circuit on this multi-neuron chip approximates a cortical microcircuit. The neurons can be configured for different computational properties by the virtual connections of a selected set of pixels on the silicon retina. The virtual wiring between the different chips is effected by an event-driven communication protocol that uses asynchronous digital pulses, similar to spikes in a neuronal system. We used the multi-chip spike-based system to synthesize orientation-tuned neurons using both a feedforward model and a feedback model. The performance of our analog hardware spiking model matched the experimental observations and digital simulations of continuous-valued neurons. The multi-chip VLSI system has advantages over computer neuronal models in that it is real-time, and the computational time does not scale with the size of the neuronal network.

Adaptive position/force control of robot manipulators without velocity measurements: theory and experimentation

In this paper, we design an adaptive position/force controller for robot manipulators during constrained motion. The proposed controller can compensate for parametric uncertainty while only requiring measurements of link position and end-effector force. A filtering technique is utilized to produce a pseudo-velocity error signal and thus, eliminate the need for link velocity measurements. The control strategy provides semiglobal asymptotic tracking performance for the end-effector position and the interaction force between the constraint and the end-effector. An experimental implementation of the proposed controller on a two-link planar robot is also presented.