scholarly journals Sorting Beef Subprimals by Ribeye Size at the Packer Level to Maximize Utility and Product Uniformity in Foodservice and Retail Sectors

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
C. Steele ◽  
A. Arnold ◽  
K. Gehring ◽  
D. Griffin ◽  
J. Savell
Keyword(s):  
Visual Analysis ◽  
Moderate Correlation ◽  
End User ◽  
Optimal Thickness ◽  
Beef Carcasses ◽  
Ribeye Area ◽  
Weight Outcomes ◽  
Scan Data ◽  
Strip Loin ◽  
The Impact

ObjectivesTo determine the impact of sorting beef carcasses at the packer level by ribeye area, instead of sorting subprimals by weight, to provide more consistent products for the end user via foodservice and retail channelsMaterials and MethodsInstrument grading technology was used to select 100 USDA Choice, yield grade 2 or 3 sides, and 100 USDA Select, yield grade 2 or 3 sides. Carcass sides were sorted into one of five ribeye area (REA) categories, as outlined in Tabsle 6.USDA Choice carcass sides were fabricated to remove beef rib, ribeye, lip-on (IMPS 112A) and beef loin, strip loin, boneless (IMPS 180) from each USDA Choice. Beef loin, tenderloin, full, side muscle on, partially defatted (IMPS 189B) subprimals were procured from each USDA Select side. Subprimals were weighed, trimmed to specification, and passed through a 3-D visual analysis portioning machine and to obtain scan data for a variety of portioning outcomes generated by simulation software.ResultsBased on input from our foodservice collaborators, 1.25 inches (3.18 cm) was identified, for ribeye and strip loin steaks, as the targeted optimal thickness to meet consumer expectations. After evaluation of multiple portioning outcomes, it was determined that a 14.00-ounce (396.89 g) portion, for each REA category, most consistently delivered the preferred steak thickness identified previously. REA categories 1 and 2 most frequently produced desirable thickness and portion weight outcomes in ribeye and strip loin steaks. Statistical analysis of number of portions per subprimal stratified by portion weight and portion thickness revealed differences (P < 0.05) across all REA area categories in both ribeyes and strip loins. As portion weight and thickness increased, steak portion number tended to decrease. In tenderloins, an optimal steak thickness of 1.75 to 2.00 in (4.45 to 5.08 cm) was identified as optimal. Most frequently, 8, 9, and 10-ounce (226.80, 255.15, and 283.50 g) portions met the targets for optimal portion weight and thickness parameters. For tenderloins, number of portions by portion weight showed significant differences (P < 0.05) in all ribeye area categories with the exception of 7-ounces (198.45 g) and showed no differences when stratified by portion thickness. In this investigation, USDA Choice carcasses (r = 0.76) and USDA Select carcasses (r = 0.56) expressed moderate correlation between REA area and hot carcass weight.ConclusionResults of the present study suggest strip loin, ribeye, and tenderloin subprimals from carcasses possessing a ribeye area ranging from 74.8 cm2 to 87.1 cm2 offered the greatest level of utility when portioned for use in foodservice and retail sectors. Further research is warranted to continue examining the merit of sorting carcasses by ribeye area at the packer level, but results of this study suggest that there is potential for improved consistency and utility of subprimals in the foodservice and retail sectors.Table 6.Ribeye area (REA) categories and associated acceptable REA ranges.

scholarly journals Sorting beef subprimals by ribeye area size at the packer level to optimize utility and product uniformity in foodservice and retail

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Chandler C Steele ◽  
Ashley N Arnold ◽  
Kerri B Gehring ◽  
Davey B Griffin ◽  
Jeffrey W Savell
Keyword(s):  
Visual Images ◽  
Department Of Agriculture ◽  
Sorting Method ◽  
Beef Carcasses ◽  
Ribeye Area ◽  
Beef Products ◽  
Strip Loin ◽  
Instrument Grading

Abstract The objectives of the study were to evaluate if sorting beef carcasses at the packer level by loin muscle (LM) area, using instrument grading technology, would increase the consistency of three boxed beef products for the foodservice and retail sectors of the industry. U.S. Department of Agriculture (USDA) Choice beef sides (n = 100) and USDA Select sides (n = 100) were selected and stratified into five LM area categories (±2.9 cm2): 1) 77.4, 2) 83.9, 3) 90.3, 4) 96.8, and 5) 103.2 cm2. Beef lip-on ribeyes and boneless strip loins were obtained from USDA Choice sides and full, partially defatted tenderloins were obtained from USDA Select sides. Subprimals were scanned with a portioner that captured visual images and dimensional analyses of each subprimal, and data were analyzed by the software to determine multiple portioning outcomes for each subprimal. Portioning data were generated for each subprimal based on a variety of targeted portion weights (ribeye and strip loin steaks = 340.2 g; tenderloin steak = 170.1 g), as well as various portion thicknesses (ribeye and strip loin steaks = 31.8 mm; tenderloin steak = 44.5 and 50.8 mm). Subprimal utility varied across targeted portion weights and thicknesses within each LM area category. For the ribeyes and strip loins, optimal portion weight and thickness combinations were observed more frequently in LM area categories 1 and 2 than for the three larger LM area categories. Analysis of data for tenderloins revealed that LM area categories played a lesser role in identifying optimization of steak portion weight and thickness combinations. Findings demonstrate that creating categories of beef subprimals based on LM area as opposed to subprimal weight might provide a unique sorting method that would improve boxed beef product consistency and uniformity for foodservice and retail sectors.

The impact of a mega-event on city branding: The European Capital of Culture 2010 and the image of Istanbul

2013 ◽  
Vol 3 (1) ◽  
pp. 29-50 ◽  
Author(s):  
Evinç Doğan ◽  
Ibrahim Sirkeci
Keyword(s):  
Visual Analysis ◽  
Place Branding ◽  
World City ◽  
City Branding ◽  
City Image ◽  
European Capital Of Culture ◽  
National Boundaries ◽  
Symbolic Production ◽  
The Impact ◽  
The City

This study examines the ways in which the city image of Istanbul is re-created through the mega-events within the context of the European Capital of Culture (ECoC) 2010. Istanbul “took the stage” as one of the three ECoC cities (Essen for the Ruhr in Germany and Pécs in Hungary), where the urban spaces were projected as the theatre décor while residents and visitors became the spectators of the events. Organisers and agents of the ECoC 2010 seemed to rebrand Istanbul as a “world city” rather than a “European capital”. With a series of transnational connotations, this can be considered as part of an attempt to turn Istanbul to a global city. In this study we examine posters used during the ECoC 2010 to see whether this was evident in the promoted images of Istanbul. The research employs a hermeneutic approach in which representations, signs and language are the means of symbolic meaning, which is analysed through qualitative methods for the visual data (Visual Analysis Methods), namely Semiotics and Discourse Analysis. The analysed research material comes from a sample of posters released during the ECoC 2010 to promote 549 events throughout the year. Using stratified random sampling we have drawn 28 posters (5% of the total) reflecting the thematic groups of events in the ECoC 2010. Particular attention is also paid to the reflexivity of the researchers and researchers’ embeddedness to the object of research. The symbolic production and visual representation are therefore investigated firstly through the authoritative and historically constituted discourses in the making of Istanbul image and secondly through the orders of cultural consumption and mediatisation of culture through spectacular events. Hence enforcing a transnationalisation of the image of the city where the image appears to be almost stateless transcending the national boundaries. Findings and methodology used in this study can be useful in understanding similar cases and further research into the processes of city and place branding and image relationships. 

scholarly journals Potential and limitations of finite element modelling in assessing structural integrity of coralline algae under future global change

2015 ◽  
Vol 12 (19) ◽  
pp. 5871-5883 ◽  
Author(s):  
L. A. Melbourne ◽  
J. Griffin ◽  
D. N. Schmidt ◽  
E. J. Rayfield
Keyword(s):  
Climate Change ◽  
Finite Element ◽  
Structural Integrity ◽  
Geometric Model ◽  
Algal Growth ◽  
Coralline Algae ◽  
Rocky Shores ◽  
Element Analysis ◽  
Scan Data ◽  
The Impact

Abstract. Coralline algae are important habitat formers found on all rocky shores. While the impact of future ocean acidification on the physiological performance of the species has been well studied, little research has focused on potential changes in structural integrity in response to climate change. A previous study using 2-D Finite Element Analysis (FEA) suggested increased vulnerability to fracture (by wave action or boring) in algae grown under high CO2 conditions. To assess how realistically 2-D simplified models represent structural performance, a series of increasingly biologically accurate 3-D FE models that represent different aspects of coralline algal growth were developed. Simplified geometric 3-D models of the genus Lithothamnion were compared to models created from computed tomography (CT) scan data of the same genus. The biologically accurate model and the simplified geometric model representing individual cells had similar average stresses and stress distributions, emphasising the importance of the cell walls in dissipating the stress throughout the structure. In contrast models without the accurate representation of the cell geometry resulted in larger stress and strain results. Our more complex 3-D model reiterated the potential of climate change to diminish the structural integrity of the organism. This suggests that under future environmental conditions the weakening of the coralline algal skeleton along with increased external pressures (wave and bioerosion) may negatively influence the ability for coralline algae to maintain a habitat able to sustain high levels of biodiversity.

scholarly journals The impact of end-userś participation (cancer patients) during the optimization process

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
S Houwaart
Keyword(s):  
End Users ◽  
Public Health Care ◽  
Optimization Process ◽  
Patient Organization ◽  
End User ◽  
The Public ◽  
Patient Organizations ◽  
Crucial Information ◽  
The Individual ◽  
The Impact

Abstract End-user (e.g. patients or the public) testing of information material is becoming more common in the German public health care system. However, including the end-user (in this case patients) in an optimisation process and thus enabling a close collaboration while developing PIMs is still rare. This is surprising, given the fact that patients provide the exact perspective one is trying to address. Within the isPO project, a patient organization is included as a legal project partner to act as the patient representative and provide the patient's perspective. As such, the patient organization was included in the PHR approach as part of the PIM-optimisation team. During the optimisation process, the patients gave practical insights into the procedures of diagnosing and treating different types of cancer as well as into the patient's changing priorities and challenges at different time points. This was crucial information for the envisioned application of the individual PIMs and their hierarchical overview. Moreover, the developed PIM-checklist enabled the patients to give detailed feedback to the PIMs. With their experience of being in the exact situation in which the PIMs will be applied, their recommendations, especially on the wording and layout of the materials, have been a valuable contribution to the PIM optimisation process. In this part of the seminar, we will take a closer look at the following skill building aspects: What is gained from including patients as end-users in the development and optimization of PIM?How can we reach patients to contribute to a PIM optimization process? Which requirements and prerequisites do patients have to provide to successfully work on an optimisation team?How to compromise and weigh opinions when different ideas occur? Altogether, this part will construct a structured path of productive patient involvement and help to overcome uncertainties regarding a collaboration with patient organizations.

Il mercato nazionale e locale per l'energia. Il servizio al consumatore finale quale ultimo step di un'unica filiera

2009 ◽  
pp. 153-163
Author(s):  
Barbara Antonioli
Keyword(s):  
Value Chain ◽  
Price Competition ◽  
Local Level ◽  
Energy Market ◽  
Local Market ◽  
End User ◽  
Regulatory Policies ◽  
Real Price ◽  
The Impact ◽  
Critical Aspects

- The reorganization of the energy market, together with an increase in the mobility of resources and the evolution of supply, have reduced borders between national and local market, and both regulatory policies and players' strategies have to consider these renewed environment. The goal of this paper is to make some considerations about the dimension and the interactions between national and locals, up-stream and downstream energy markets, both in terms of value chain phases regulation and of the impact on firms' organization and on the industry as a whole. We want to highlight evident problems of coordination of different rules, the necessity to define a clear national industrial policy (not fragmented at local level), as well as the relevance of the end user prices regulation for liberalized market. In particular, this kind of regulation seems to represent a key point of the current discussion between operators and the energy Authority. The end users price regulation present some critical aspects related to its (contested) limited contribution to a real price competition but, on the other side, had to be considered as a strong protection for domestic customers, as well as a way to reduce information asymmetry.Key words: Energy, competition, regulation.JEL classifications: H1, K2.Parole chiave: Energia, concorrenza, regolazione.

The Loss of the Self in Memory: Self-Referential Memory, Childhood Relational Trauma, and Dissociation

2018 ◽  
Vol 7 (2) ◽  
pp. 265-282
Author(s):  
Chui-De Chiu ◽  
Marieke S. Tollenaar ◽  
Cheng-Ta Yang ◽  
Bernet M. Elzinga ◽  
Tian-Yang Zhang ◽  
...  
Keyword(s):  
College Students ◽  
Child Maltreatment ◽  
The Self ◽  
Stressful Situation ◽  
Mental Function ◽  
Moderate Correlation ◽  
Early Experiences ◽  
Adverse Childhood ◽  
Relational Trauma ◽  
The Impact

The segregated representations pertinent to childhood relational trauma have long been posited as a key pathogenic mechanism for dissociation. Yet, the weak to moderate correlation of child maltreatment with dissociation proneness leads to the question about which factors may moderate the impact of adverse childhood interpersonal experiences and work synergistically in the genesis of dissociation. We hypothesized that self-referential memory may play a role and that low accessibility to self-referenced representations may obstruct the ongoing synthesis of self representations, leaving these unassimilated early experiences disintegrated and inimical to mental function in response to a stressful situation. This hypothesis was examined by two experiments in college students. The first experiment showed the association between dissociation proneness and low accessibility to self-referenced representations. The second demonstrated that low accessibility to self-referenced representations moderated the link between childhood relational trauma and dissociation proneness. Weakened self-referential memory matters in the link between trauma and dissociation.

Impact of Age and Body Mass Index on Anthropometry in Working Adults

2017 ◽  
Vol 61 (1) ◽  
pp. 1341-1345 ◽  
Author(s):  
Zachary Merrill ◽  
April Chambers ◽  
Rakié Cham
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Center Of Mass ◽  
Biomechanical Model ◽  
Whole Body ◽  
Working Adults ◽  
Biomechanical Models ◽  
Scan Data ◽  
Body Segment Parameters ◽  
The Impact

Body segment parameters (BSPs) such as segment mass and center of mass are used as inputs in ergonomic design and biomechanical models to predict the risk of musculoskeletal injuries. These models have been shown to be sensitive to the BSP values used as inputs, demonstrating the necessity of using accurate and representative parameters. This study aims to provide accurate BSPs by quantifying the impact of age and body mass index on torso and thigh mass and center of mass in working adults using whole body dual energy x-ray absorptiometry (DXA) scan data. The results showed significant effects of gender, age, and body mass index (BMI) on torso and thigh mass and center of mass, as well as significant effects of age and BMI within genders, indicating that age, gender, and BMI need to be taken into account when predicting BSPs in order to calculate representative ergonomic and biomechanical model outputs.

scholarly journals Testing the impact of two key scan parameters on the quality and repeatability of measurements from CT scan data

10.26879/942 ◽  
2020 ◽  
Author(s):  
Rosie Oakes ◽  
Morgan Hill Chase ◽  
Mark Siddall ◽  
Jocelyn Sessa
Keyword(s):  
Ct Scan ◽  
Scan Data ◽  
The Impact

scholarly journals An Adaptive Bitrate Switching Algorithm for Speech Applications in Context of WebRTC

2021 ◽  
Vol 17 (4) ◽  
pp. 1-21
Author(s):  
Mohannad Alahmadi ◽  
Peter Pocta ◽  
Hugh Melvin
Keyword(s):  
Real Time ◽  
Data Exchange ◽  
Quality Of Experience ◽  
End User ◽  
High Quality ◽  
Content Type ◽  
Switching Algorithm ◽  
Wide Range ◽  
The Impact

Web Real-Time Communication (WebRTC) combines a set of standards and technologies to enable high-quality audio, video, and auxiliary data exchange in web browsers and mobile applications. It enables peer-to-peer multimedia sessions over IP networks without the need for additional plugins. The Opus codec, which is deployed as the default audio codec for speech and music streaming in WebRTC, supports a wide range of bitrates. This range of bitrates covers narrowband, wideband, and super-wideband up to fullband bandwidths. Users of IP-based telephony always demand high-quality audio. In addition to users’ expectation, their emotional state, content type, and many other psychological factors; network quality of service; and distortions introduced at the end terminals could determine their quality of experience. To measure the quality experienced by the end user for voice transmission service, the E-model standardized in the ITU-T Rec. G.107 (a narrowband version), ITU-T Rec. G.107.1 (a wideband version), and the most recent ITU-T Rec. G.107.2 extension for the super-wideband E-model can be used. In this work, we present a quality of experience model built on the E-model to measure the impact of coding and packet loss to assess the quality perceived by the end user in WebRTC speech applications. Based on the computed Mean Opinion Score, a real-time adaptive codec parameter switching mechanism is used to switch to the most optimum codec bitrate under the present network conditions. We present the evaluation results to show the effectiveness of the proposed approach when compared with the default codec configuration in WebRTC.

scholarly journals Airbnb Short-term Housing Rental Status Prediction Model Under the Impact of the COVID-19 Pandemic

2021 ◽  
Vol 251 ◽  
pp. 01017
Author(s):  
Zhixiang Lu
Keyword(s):  
Machine Learning ◽  
New York ◽  
Regional Differences ◽  
Prediction Accuracy ◽  
Visual Analysis ◽  
Sharing Economy ◽  
Short Term ◽  
Emerging Industries ◽  
Machine Learning Model ◽  
The Impact

With the vigorous development of the sharing economy, the short-term rental industry has also spawned many emerging industries that belong to the sharing economy. However, due to the impact of the COVID-19 pandemic in 2020, many sharing economy industries, including the short-term housing leasing industry, have been affected. This study takes the rental information of 1,004 short-term rental houses in New York in April 2020 as an example, through machine learning and quantitative analysis, we conducted statistical and visual analysis on the impact of different factors on the housing rental status. This project is based on the machine learning model to predict the changes in the rental status of the house on the time series. The results show that the prediction accuracy of the random forest model has reached more than 94%, and the prediction accuracy of the logistic model has reached more than 74%. At the same time, we have further explored the impact of time span differences and regional differences on the housing rental status.

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