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Precision biometrics data of Atlantic salmon (Salmo salar L:) in commercial grow-out sea-cages: Manual sampling and infrared diode frames compared to processing plant
داده های دقیق بیومتریک ماهی قزل آلای سالمون (Salmo salar L:) در قفس های تجاری تجاری بزرگ دریایی: نمونه گیری دستی و قاب های دیود مادون قرمز در مقایسه با پردازش کارخانه-2021 One of the critical challenges that the global salmon farming industry will confront when upscaling production is accurate biomass control. Commercial salmon farming requires a significant level of certainty regarding fish count, average weight measurement, live weight distribution, and other production indicators. A reliable control system for assessing the biomass of farmed Atlantic salmon is essential for sustainable and cost-effective precision aquaculture. A study was done in four production sea-cages in a Chilean Atlantic salmon marine grow-out farm to estimate the average weight and frequency distribution utilizing the Vaki Biomass daily® diode frames as an alternate technology to manual weight measurement. From post-smolt reception to fish harvest, diode frames were put in each sea-cage in a secure position for 15 months. There were no significant changes in length or average weight between manual sampling and frame estimate. The mean degree of accuracy for the average weight estimation was 98.83 % for the frames utilized in the four sea cages. The diode frames also achieved a high degree of precision in predicting the frequency distribution of fish. There were no statistically significant variations between the distribution variances of the diode frame measurements and the distribution variances of the fish received at the fish processing facility (FPF). The maximum difference between the average weight calculated by the frames and the average weight of the fish received in the processing facility was 2.4 %, with99.66 % being the highest accuracy with only 19 g of difference. We determined that diode frames might replace manual weight assessments with greater reliability for growth monitoring and production management. To assure the optimal performance of the diode frames in terms of accuracy and precision for future commercial- scale validations in the salmon farming business, the development of a standard best practice manual is necessary. Keywords: Diode frame | Accuracy | Precision fish farming | Biomass | Weight distribution |
مقاله انگلیسی |
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Testing an instrument to measure the BPMS-KM Support model
تست ابزار برای اندازه گیری مدل پشتیبانی BPMS-KM-2021 BPMS (Business Process Management System) represents a type of software that automates the organizational
processes looking for efficiency. Since the knowledge of organizations lies in their processes, it seems probable
that a BPMS can be used to manage the knowledge applied in these processes. Through the BPMS-KM Support
Model, this study aims to determine the reliability and validity of a 65-item instrument to measure the utility and
the use of a BPMS for knowledge management (KM). A questionnaire was sent to 242 BPMS users and to
determine its validity, a factorial analysis was conducted. The results showed that the measuring instrument is
trustworthy and valid. It represents implications for research, since it provides an instrument validated for
research on the success of a BPMS for KM. There would also be practical implications, since managers can
evaluate the use of BPMS, in addition to automating processes to manage knowledge. keywords: مدیریت فرآیند کسب و کار | مدیریت دانش | تجزیه و تحلیل فاکتوریل | ابزار اندازه گیری | اعتبار سنجی مقیاس | Business Process Management | Knowledge management | Factorial analysis | Measuring instrument | Scale validation |
مقاله انگلیسی |
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Development and Validation of Social Anxiety Scale for Social Media Users
توسعه و تایید مقیاس اضطراب اجتماعی برای کاربران رسانه های اجتماعی-2017 Although various scales have been developed with the aim of measuring students social anxiety in a
variety of settings, none of the studies has addressed the measurement of social anxiety in social media
platforms. This study describes the process of developing and validating a multidimensional Social
Anxiety Scale for Social Media Users (SAS-SMU) that can be used to assess college students social anxiety
arising from social media platforms. The study was conducted in two phases. In the first phase, data
collected from 174 students were used to provide evidence for validity and reliability of the structure and
its underlying dimensions. A four-dimensional structure emerged: shared content anxiety, privacy
concern anxiety, interaction anxiety, and self-evaluation anxiety. In the second phase, data collected from
510 college students were used to confirm four-factor structure of the 21-item SAS-SMU. The Cronbachs
Alpha coefficients for the dimensions ranged from 0.80 to 0.92, demonstrating a satisfactory level of
reliability. Further validation studies were also conducted and their findings provided. This validated
scale will be a useful tool for both researchers and instructors to assess college students social anxiety as
social media users.
Keywords: Social anxiety | Social media | Social media users | Scale development | Scale validation |
مقاله انگلیسی |
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Behaviour of cylindrical steel drums under blast loading conditions
رفتاربا طبل های فلزی استوانه ای تحت شرایط بار انفجار-2016 The Buncefield incident in the UK in 2005 involved an explosion of 240,000 m3 of vapour cloud which
resulted in considerable damage to properties in the surrounding area. A number of objects that can be
used as overpressure indicators such as standard steel drums were located at various points around the
site. These were found deformed to different levels after the explosion. These overpressure sensitive objects
were used to assess the overpressure level at the locations of the objects during the incident. This study
describes full scale validation tests and numerical simulations of far-field air blast loading acting on de
formable steel drums in order to investigate possible forensic methods to aid the incident investigation.
Subsequently, a number of numerical models are developed in order to simulate the tests. Two models
with varying complexity are used in the simulations: uncoupled Eulerian–Lagrangian model and coupled
Eulerian–Lagrangian approaches. These models are validated against the test data from gas detonation
explosion. Comparison between the numerical and experimental results suggests that both approaches
tend to over-predict the deformation of drums due to identified inaccuracies from test measurements
and numerical methods. However, both methods can comparatively capture the different levels of damage
arising from blast loads with various intensities. These comparative levels are in general agreement with
observations from test data. Parametric studies using the validated techniques are also carried out to further
examine the response of steel drums. The results are summarised in the form of pressure–impulse dia
grams, and typical residual shapes of drum models are selected to complement the pressure–impulse
diagrams. The methods and results presented in this paper offer a very useful tool which could be em
ployed to aid forensic investigations of future explosion incidents involving steel drums or similar field
objects.
Blast tests | Numerical simulation | Buncefield incident | Dynamic response | Vapour cloud explosions |
مقاله انگلیسی |