Meat buying and use in the Missouri restaurants

Digitized 2007 AES.Includes bibliographical references

Descriptive analysis of the Missouri restaurant industry

This bulletin is a report on Department of Agricultural Economics research project 386, 'Meat Marketing Economics'--P. [2].Digitized 2007 AES.Includes bibliographical references

Retrievals of thick cloud optical depth from the Geoscience Laser Altimeter System (GLAS) by calibration of solar background signal

Laser beams emitted from the Geoscience Laser Altimeter System (GLAS), as well as other spaceborne laser instruments, can only penetrate clouds to a limit of a few optical depths. As a result, only optical depths of thinner clouds (< about 3 for GLAS) are retrieved from the reflected lidar signal. This paper presents a comprehensive study of possible retrievals of optical depth of thick clouds using solar background light and treating GLAS as a solar radiometer. To do so one must first calibrate the reflected solar radiation received by the photon-counting detectors of the GLAS 532-nm channel, the primary channel for atmospheric products. Solar background radiation is regarded as a noise to be subtracted in the retrieval process of the lidar products. However, once calibrated, it becomes a signal that can be used in studying the properties of optically thick clouds. In this paper, three calibration methods are presented: (i) calibration with coincident airborne and GLAS observations, (ii) calibration with coincident Geostationary Opera- tional Environmental Satellite (GOES) and GLAS observations of deep convective clouds, and (iii) cali- bration from first principles using optical depth of thin water clouds over ocean retrieved by GLAS active remote sensing. Results from the three methods agree well with each other. Cloud optical depth (COD) is retrieved from the calibrated solar background signal using a one-channel retrieval. Comparison with COD retrieved from GOES during GLAS overpasses shows that the average difference between the two retriev- als is 24%. As an example, the COD values retrieved from GLAS solar background are illustrated for a marine stratocumulus cloud field that is too thick to be penetrated by the GLAS laser. Based on this study, optical depths for thick clouds will be provided as a supplementary product to the existing operational GLAS cloud products in future GLAS data releases

A Novel Flow-Perfusion Bioreactor Supports 3D Dynamic Cell Culture

Background. Bone engineering requires thicker three-dimensional constructs than the maximum thickness supported by standard cell-culture techniques (2 mm). A flow-perfusion bioreactor was developed to provide chemotransportation to thick (6 mm) scaffolds. Methods. Polyurethane scaffolds, seeded with murine preosteoblasts, were loaded into a novel bioreactor. Control scaffolds remained in static culture. Samples were harvested at days 2, 4, 6, and 8 and analyzed for cellular distribution, viability, metabolic activity, and density at the periphery and core. Results. By day 8, static scaffolds had a periphery cell density of 67% ± 5.0%, while in the core it was 0.3% ± 0.3%. Flow-perfused scaffolds demonstrated peripheral cell density of 94% ± 8.3% and core density of 76% ± 3.1% at day 8. Conclusions. Flow perfusion provides chemotransportation to thick scaffolds. This system may permit high throughput study of 3D tissues in vitro and enable prefabrication of biological constructs large enough to solve clinical problems

The Nature and Purpose of Acute Psychiatric Wards: The Tompkins Acute Ward Study

Background: Acute inpatient care in the UK is being subjected to increasing critical scrutiny, highlighting concerns about content and quality. There is an absence of clarity and consensus on what acute inpatient care is for, adding to difficulties in developing this service sector. Aim: To define the function of acute psychiatric wards. Methods: Interviews were conducted with multidisciplinary staff (13 Ward Managers, 14 F Grade nurses, 11 Occupational Therapists and 9 Consultant Psychiatrists), on rationales for admission, their care and treatment philosophy, and the roles of different professionals. Results: Patients are admitted because they appear likely to harm themselves or others, and because they are suffering from a severe mental illness, and/or because they or their family/community require respite, and/or because they have insufficient support and supervision available to them in the community. The tasks of acute inpatient care are to keep patients safe, assess their problems, treat their mental illness, meet their basic care needs and provide physical healthcare. These tasks are completed via containment, 24-hour staff presence, treatment provision, and complex organisation and management. Conclusions: Professional education, audit, research and the structuring of services all need to be oriented towards these tasks. Declaration of interest: This study was funded by the Tompkins Foundation and the Department of Health Nursing Quality initiative

Patient-Reported Outcomes Measurements Information System (PROMIS) upper extremity and pain interference do not significantly predict rotator cuff tear dimensions

BACKGROUND: Proper diagnosis of rotator cuff tears is typically established with magnetic resonance imaging (MRI); however, studies show that MRI-derived measurements of tear severity may not align with patient-reported pain and shoulder function. The purpose of this study is to investigate the capacity for the Patient-reported Outcomes Measurements Information System (PROMIS) computer adaptive tests to predict rotator cuff tear severity by correlating preoperative tear morphology observed on MRI with PROMIS upper extremity (UE) and pain interference (PI) scores. This is the first study to investigate the relationship between tear characteristics and preoperative patient-reported symptoms using PROMIS. Considering the essential roles MRI and patient-reported outcomes play in the management of rotator cuff tears, the findings of this study have important implications for both treatment planning and outcome reporting. METHODS: Two PROMIS-computer adaptive test forms (PROMIS-UE and PROMIS-PI) were provided to all patients undergoing rotator cuff repair by one of three fellowship-trained surgeons at a single institution. Demographic information including age, sex, race, employment status, body mass index, smoking status, zip code, and preoperative PROMIS-UE and -PI scores was prospectively recorded. A retrospective chart review of small to large full- or partial-thickness rotator cuff tears between May 1, 2017 and February 27, 2019 was used to collect each patient\u27s MRI-derived tear dimensions and determine tendon involvement. RESULTS: Our cohort consisted of 180 patients (56.7% male, 43.3% female) with an average age of 58.9 years (standard deviation, 9.0). There was no significant difference in PROMIS-UE or -PI scores based on which rotator cuff tendons were involved in the tear (P \u3e .05). Neither PROMIS-UE nor PROMIS-PI significantly correlated with tear length or retraction length of the supraspinatus tendon (P \u3e .05). The sum of tear lengths in the anterior-posterior and medial-lateral directions was weakly correlated with PROMIS-UE (P = .042; r = -0.152, r = .031) and PROMIS-PI (P = .027; r = 0.165, r = 0.012). CONCLUSION: Rotator cuff tear severity does not significantly relate to preoperative PROMIS-UE and -PI scores. This finding underscores the importance of obtaining a balanced preoperative assessment of rotator cuff tears that acknowledges the inconsistent relationship between rotator cuff tear characteristics observed on MRI and patient-reported pain and physical function

Eyetracking metrics reveal impaired spatial anticipation in behavioural variant frontotemporal dementia.

Eyetracking technology has had limited application in the dementia field to date, with most studies attempting to discriminate syndrome subgroups on the basis of basic oculomotor functions rather than higher-order cognitive abilities. Eyetracking-based tasks may also offer opportunities to reduce or ameliorate problems associated with standard paper-and-pencil cognitive tests such as the complexity and linguistic demands of verbal test instructions, and the problems of tiredness and attention associated with lengthy tasks that generate few data points at a slow rate. In the present paper we adapted the Brixton spatial anticipation test to a computerized instruction-less version where oculomotor metrics, rather than overt verbal responses, were taken into account as indicators of high level cognitive functions. Twelve bvFTD (in whom spatial anticipation deficits were expected), six SD patients (in whom deficits were predicted to be less frequent) and 38 healthy controls were presented with a 10×7 matrix of white circles. During each trial (N=24) a black dot moved across seven positions on the screen, following 12 different patterns. Participants' eye movements were recorded. Frequentist statistical analysis of standard eye movement metrics were complemented by a Bayesian machine learning (ML) approach in which raw eyetracking time series datasets were examined to explore the ability to discriminate diagnostic group performance not only on the overall performance but also on individual trials. The original pen and paper Brixton test identified a spatial anticipation deficit in 7/12 (58%) of bvFTD and in 2/6 (33%) of SD patients. The eyetracking frequentist approach reported the deficit in 11/12 (92%) of bvFTD and in none (0%) of the SD patients. The machine learning approach had the main advantage of identifying significant differences from controls in 24/24 individual trials for bvFTD patients and in only 12/24 for SD patients. Results indicate that the fine grained rich datasets obtained from eyetacking metrics can inform us about high level cognitive functions in dementia, such as spatial anticipation. The ML approach can help identify conditions where subtle deficits are present and, potentially, contribute to test optimisation and the reduction of testing times. The absence of instructions also favoured a better distinction between different clinical groups of patients and can help provide valuable disease-specific markers