Effects of Heating Rate and Endpoint Temperature on the Palatability and Storage Stability of Precooked Beef Roasts

The primary objective of this study was to determine the optimal cooking rate and endpoint temperature of a precooking regime for beef roasts which maximizes consumer acceptability and storage stability. Percentage cooking loss and TEA values were minimized when roasts were precooked to the lowest endpoint temperature (45 C, 112 F). I n addition, long-term cooking (heating rate = 16 min/C) improved TEA values (Thiobarbituric acid, a test for oxidative rancidity) for precooked beef roasts. Sensory qualities did not differ (P\u3e.05) due to cooking rate or endpoint temperature. Findings suggest that a low-temperature long-term cooking method optimizes (Pc.05) cooking characteristics while maintaining sensory qualities of precooked beef roasts

Triangle-generation in topological D-brane categories

Tachyon condensation in topological Landau-Ginzburg models can generally be studied using methods of commutative algebra and properties of triangulated categories. The efficiency of this approach is demonstrated by explicitly proving that every D-brane system in all minimal models of type ADE can be generated from only one or two fundamental branes.Comment: 34 page

Social Media, Gender and the Mediatisation of War: Exploring the German Armed Forces’ Visual Representation of the Afghanistan Operation on Facebook

Studies on the mediatisation of war point to attempts of governments to regulate the visual perspective of their involvements in armed conflict – the most notable example being the practice of ‘embedded reporting’ in Iraq and Afghanistan. This paper focuses on a different strategy of visual meaning-making, namely, the publication of images on social media by armed forces themselves. Specifically, we argue that the mediatisation of war literature could profit from an increased engagement with feminist research, both within Critical Security/Critical Military Studies and within Science and Technology Studies that highlight the close connection between masculinity, technology and control. The article examines the German military mission in Afghanistan as represented on the German armed forces’ official Facebook page. Germany constitutes an interesting, and largely neglected, case for the growing literature on the mediatisation of war: its strong antimilitarist political culture makes the representation of war particularly delicate. The paper examines specific representational patterns of Germany’s involvement in Afghanistan and discusses the implications which arise from what is placed inside the frame of visibility and what remains out of its view

Nighttime features derived from topic models for classification of patients with COPD

Nighttime symptoms are important indicators of impairment for many diseases and particularly for respiratory diseases such as chronic obstructive pulmonary disease (COPD). The use of wearable sensors to assess sleep in COPD has mainly been limited to the monitoring of limb motions or the duration and continuity of sleep. In this paper we present an approach to concisely describe sleep patterns in subjects with and without COPD. The methodology converts multimodal sleep data into a text representation and uses topic modeling to identify patterns across the dataset composed of more than 6000 assessed nights. This approach enables the discovery of higher level features resembling unique sleep characteristics that are then used to discriminate between healthy subjects and those with COPD and to evaluate patients' disease severity and dyspnea level. Compared to standard features, the discovered latent structures in nighttime data seem to capture important aspects of subjects sleeping behavior related to the effects of COPD and dyspnea

Identifying Physical Activity Profiles in COPD Patients Using Topic Models

With the growing amount of physical activity (PA) measures, the need for methods and algorithms that automatically analyse and interpret unannotated data increases. In this paper PA is seen as a combination of multi-modal constructs that can co-occur in different ways and proportions during the day. The design of a methodology able to integrate and analyse them is discussed and its operation is illustrated by applying it to a data set comprising data from COPD patients and healthy subjects acquired in daily life. The method encompasses different stages. The first stage is a completely automated method of labelling low-level multi-modal PA measures. The information contained in the PA labels are further structured using topic modelling techniques, a machine learning method from the text processing community. The topic modelling discovers the main themes that pervade a large set of data. In our case, topic models discover PA routines that are active in the assessed days of the subjects under study. Applying the designed algorithm to our data provides new learnings and insights. As expected, the algorithm discovers that PA routines for COPD patients and healthy subjects are substantially different regarding their composition and moments in time in which transitions occur. Furthermore, it shows consistent trends relating to disease severity as measured by standard clinical practice

State Mental Health Policy: Effect on Outcomes for Identifies Priority Populations

This study uses service and policy information derived from the National Association of State Mental Health Program Directors Research Institute\u27sState Mental Health Authority Profiling System and from data on 1990 mental health services collected through theInventory of Mental Health Organizations. The aim of this study was to examine the relationship of policies identifying children with severe emotional disturbance (SED) and elderly mentally ill as priority populations with actual utilization. Two outcome variables were used: (1) the proportion of children with SED or elderly clients in the total service population (service utilization), and (2) the proportion of treated individuals with mental illness in the state population (relative access). Initial analyses suggest a need for improving the systematic reporting of identified priority populations and provide planning implications for state and federal officials