scholarly journals Sensory Panel Performance Evaluation—Comprehensive Review of Practical Approaches

2021 ◽  
Vol 11 (24) ◽  
pp. 11977
Author(s):  
László Sipos ◽  
Ákos Nyitrai ◽  
Géza Hitka ◽  
László Ferenc Friedrich ◽  
Zoltán Kókai
Keyword(s):  
Performance Evaluation ◽  
Initial Point ◽  
Testing Procedure ◽  
Test Method ◽  
Special Focus ◽  
The Novel ◽  
Novel Approach ◽  
Sensory Activity ◽  
Scale Usage ◽  
Meta Analyses

Sensory assessors determine the result of sensory analysis; therefore, investigation of panel performance is inevitable to obtain well-established results. In the last few decades, numerous publications examine the performance of both panelists and panels. The initial point of any panelist measures are the applied selection methods, which are chosen according to the purpose (general suitability or product-specific skills). A practical overview is given on the available solutions, methods, protocols and software relating to all major panelist and panel measure indices (agreement, discrimination, repeatability, reproducibility and scale usage), with special focus on the utilized statistical methods. The novel approach of the presented methods is multi-faceted, concerning time factor (measuring performance at a given moment or over a period), the level of integration in the sensory testing procedure and the target of the measurements (panelist versus panel). The present paper supports the choice of the performance parameter and its related statistical procedure. Available software platforms, their accessibility (open-source status) and their functions are thoroughly analyzed concerning panelist or whole panel evaluation. The applied sensory test method strongly defines the applicable performance evaluation tools; therefore, these aspects are also discussed. A special field is related to proficiency testing. With the focus on special activities (product competitions, expert panels, food and horticultural goods), practical examples are given. In our research, special attention was given to sensory activity in companies and product experts or product-specific panels. Emerging future trends in this field will involve meta-analyses, application of AI and integration of psychophysics.

scholarly journals COVID-19 SOCIAL DISTANCING AND PROFIT MAXIMIZATION INVENTORY MODEL WITH OVERAGE

2021 ◽  
Vol 9 (1) ◽  
pp. 704-708
Author(s):  
Nivetha Martin, A. Aleeswari ,P. Pandiammal, N. Ramila Gandhi
Keyword(s):  
Inventory Management ◽  
Research Work ◽  
Profit Maximization ◽  
Inventory Model ◽  
Special Focus ◽  
The Novel ◽  
Social Distancing ◽  
Novel Approach ◽  
Proposed Model ◽  
Optimal Quantity

Goal: This research work aims in presenting the impacts of social distancing on the societal domain in particularly with the special focus on inventory management, the accelerating fuel of the production sectors. A profit maximization inventory model comprises of overage management, waste disposal and product propagation is proposed. Design / Methodology / Approach: A mathematical model with the objective of profit maximization and overage management is developed to cater the needs of the production sectors at times of pandemic situation. Results: This model yields the optimal quantity (Qα) that maximizes the expected aggregate profit per unit of time. Limitations of the investigation: This research is of exploratory kind and the lack of similar research in the literature locks the opportunity of comparison, also the proposed model is a more generalized in nature. Practical implications: The proposed maximization model will certainly assist the decision makers to handle the situations of overage caused by pandemic social distancing. Originality/Value: The combination of profit maximization, overage management in the context of COVID 19 social distancing is modelled to benefit the production sectors and this is the novel approach of this article.

Evaluating the Operational Performance of Manufacturing Enterprises: An Evaluation Framework and Application to Pakistani Industry

1985 ◽  
Vol 24 (3-4) ◽  
pp. 703-719 ◽  
Author(s):  
Abdul Hafeez Shaikh
Keyword(s):  
Performance Evaluation ◽  
Final Section ◽  
Technology Development ◽  
Evaluation Framework ◽  
Relative Performance ◽  
Operational Performance ◽  
Special Focus ◽  
Manufacturing Enterprises ◽  
Private And Public

This study has two objectives; (i) to develop a framework for evaluating the operational performance of manufacturing enterprises, and (ii) to evaluate the trend in the performance of Pakistan's vegetable ghee industry for the 1970- 1980 period, with special focus on its relative performance under private and public ownerships. Section II is devoted to the vegetable ghee industry itself - its technology, development, pricing and distribution policies. In Section III a framework for performance evaluation is developed. In Section IV we evaluate in a series of steps - the performance of Pakistan's vegetable ghee industry. The final section is devoted to concluding comments.

Exploring normative perceptions and misperceptions of private, environmentally impactful behaviours

2020 ◽  
Author(s):  
Elaine Gallagher ◽  
Bas Verplanken ◽  
Ian Walker
Keyword(s):  
Social Norms ◽  
Behaviour Change ◽  
Social Contexts ◽  
The Novel ◽  
Normative Influence ◽  
Change Mechanism ◽  
Novel Approach ◽  
Classical Studies ◽  
Referent Group

Social norms have been shown to be an effective behaviour change mechanism across diverse behaviours, demonstrated from classical studies to more recent behaviour change research. Much of this research has focused on environmentally impactful actions. Social norms are typically utilised for behaviour change in social contexts, which facilitates the important element of the behaviour being visible to the referent group. This ensures that behaviours can be learned through observation and that deviations from the acceptable behaviour can be easily sanctioned or approved by the referent group. There has been little focus on how effective social norms are in private or non-social contexts, despite a multitude of environmentally impactful behaviours occurring in the home, for example. The current study took the novel approach to explore if private behaviours are important in the context of normative influence, and if the lack of a referent groups results in inaccurate normative perceptions and misguided behaviours. Findings demonstrated variance in normative perceptions of private behaviours, and that these misperceptions may influence behaviour. These behaviours are deemed to be more environmentally harmful, and respondents are less comfortable with these behaviours being visible to others, than non-private behaviours. The research reveals the importance of focusing on private behaviours, which have been largely overlooked in the normative influence literature.

scholarly journals A Novel Approach to EEG Speech Activity Detection with Visual Stimuli and Mobile BCI

2021 ◽  
Vol 11 (2) ◽  
pp. 674
Author(s):  
Marianna Koctúrová ◽  
Jozef Juhár
Keyword(s):  
Visual Stimuli ◽  
Computer Interface ◽  
Single Subject ◽  
Detection Accuracy ◽  
The Novel ◽  
Activity Detection ◽  
Speech Activity ◽  
Novel Approach ◽  
Eeg Data ◽  
Speech Activity Detection

With the ever-progressing development in the field of computational and analytical science the last decade has seen a big improvement in the accuracy of electroencephalography (EEG) technology. Studies try to examine possibilities to use high dimensional EEG data as a source for Brain to Computer Interface. Applications of EEG Brain to computer interface vary from emotion recognition, simple computer/device control, speech recognition up to Intelligent Prosthesis. Our research presented in this paper was focused on the study of the problematic speech activity detection using EEG data. The novel approach used in this research involved the use visual stimuli, such as reading and colour naming, and signals of speech activity detectable by EEG technology. Our proposed solution is based on a shallow Feed-Forward Artificial Neural Network with only 100 hidden neurons. Standard features such as signal energy, standard deviation, RMS, skewness, kurtosis were calculated from the original signal from 16 EEG electrodes. The novel approach in the field of Brain to computer interface applications was utilised to calculated additional set of features from the minimum phase signal. Our experimental results demonstrated F1 score of 86.80% and 83.69% speech detection accuracy based on the analysis of EEG signal from single subject and cross-subject models respectively. The importance of these results lies in the novel utilisation of the mobile device to record the nerve signals which can serve as the stepping stone for the transfer of Brain to computer interface technology from technology from a controlled environment to the real-life conditions.

ChemInform Abstract: The Novel Approach to Indole Alkaloids by Using Pd(II)-Catalyzed Cyclization.

ChemInform ◽  
2015 ◽  
Vol 46 (17) ◽  
pp. no-no
Author(s):  
Hajime Yokoyama ◽  
Takayoshi Kubo ◽  
Yosuke Matsumura ◽  
Junichi Hosokawa ◽  
Masahiro Miyazawa ◽  
...  
Keyword(s):  
Indole Alkaloids ◽  
The Novel ◽  
Novel Approach

scholarly journals Caffeine-Induced Effects on Human Skeletal Muscle Contraction Time and Maximal Displacement Measured by Tensiomyography

Nutrients ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 815
Author(s):  
Przemysław Domaszewski ◽  
Paweł Pakosz ◽  
Mariusz Konieczny ◽  
Dawid Bączkowicz ◽  
Ewa Sadowska-Krępa
Keyword(s):  
Skeletal Muscle ◽  
Muscle Activation ◽  
Electric Pulse ◽  
Professional Athletes ◽  
Mechanical Activity ◽  
The Novel ◽  
Contraction Time ◽  
Novel Approach ◽  
Skeletal Muscle Contraction ◽  
Maximal Displacement

Studies on muscle activation time in sport after caffeine supplementation confirmed the effectiveness of caffeine. The novel approach was to determine whether a dose of 9 mg/kg/ body mass (b.m.) of caffeine affects the changes of contraction time and the displacement of electrically stimulated muscle (gastrocnemius medialis) in professional athletes who regularly consume products rich in caffeine and do not comply with the caffeine discontinuation period requirements. The study included 40 professional male handball players (age = 23.13 ± 3.51, b.m. = 93.51 ± 15.70 kg, height 191 ± 7.72, BMI = 25.89 ± 3.10). The analysis showed that in the experimental group the values of examined parameters were significantly reduced (p ≤ 0.001) (contraction time: before = 20.60 ± 2.58 ms/ after = 18.43 ± 3.05 ms; maximal displacement: before = 2.32 ± 0.80 mm/after = 1.69 ± 0.51 mm). No significant changes were found in the placebo group. The main achievement of this research was to demonstrate that caffeine at a dose of 9 mg/kg in professional athletes who regularly consume products rich in caffeine has a direct positive effect on the mechanical activity of skeletal muscle stimulated by an electric pulse.

Bioerodible Polypyrrole

2001 ◽  
Vol 711 ◽  
Author(s):  
Alexander Zelikin ◽  
Venkatram Shastri ◽  
David Lynn ◽  
Jian Farhadi ◽  
Ivan Martin ◽  
...  
Keyword(s):  
Erosion Rate ◽  
Acid Group ◽  
The Novel ◽  
Carboxylic Acid Group ◽  
Polymer Backbone ◽  
Cellular Processes ◽  
Novel Approach ◽  
Efficient Control ◽  
And Function ◽  
Substrate Independent

ABSTRACTConductive polymers such as polypyrrole (Ppy) are potentially useful as an active interface for altering cellular processes and function. Their utilization in medically related applications however have been substantially held back by their non-degradable nature. Herein we report a novel approach to creation of bioerodible polypyrroles via modification of pyrrole beta-carbon with an ionizable moiety. It has been shown that the erosion rate of acid-bearing derivative of polypyrrole increases with pH, which is consistent with the pH dependent ionization of carboxylic acid group. The novel paradigm proposed for the creation of bioerodible polypyrroles allows for simple and efficient control over the erosion rate of the substrate independent of the polymer chain length, via the choice of the terminal ionizable group and its concentration along the polymer backbone.

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