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To know and to understand consumers’ preferences is essential in every kind of product development. Consumers make their decision on the basis of numerous factors. In case of mineral waters it is frequently mentioned, that sensory quality is an important attribute of the product. To investigate the real importance of this quality parameter we analysed several mineral waters, which are available on the Hungarian market, with the aim of searching for differences between the products. The applied qualitative method — software-supported profile analysis — is suitable for comparing samples in a much detailed way. Panelists were trained for the use of scales, but they were not selected according to their sensory acuity. This way we simulated the group of consumers — not in a representative, but in a similar way (e.g. average sensory acuity). The aim of the research was to compare the sensory profiles of the samples, and to find those characteristics, in which they actually differ.

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Journal of Behavioral Addictions
Authors:
Ji-Bin Li
,
Anise M.S. Wu
,
Li-Fen Feng
,
Yang Deng
,
Jing-Hua Li
,
Yu-Xia Chen
,
Jin-Chen Mai
,
Phoenix K.H. Mo
, and
Joseph T.F. Lau

developed and used to select cut-off points. The latent profile analysis (LPA) is one such method. It has been used to derive the cut-off points for the 6-item Bergen Social Media Addiction Scale ( Banyai et al., 2017 ), the 10-Item Internet Gaming Disorder

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Abstract  

This study aims to provide archiving research trends from the perspective of the field of library and information science using profiling analysis method. The LISA database has been selected as the representative database in the library and information science field, and articles have been searched via the keyword ‘archiv*’. The analysis methods used in this study were the journal profiling method and the descriptor profiling method. The descriptor profiling method presents descriptors as a bag of words. That is, it represents descriptors according to the word sets which are included in the documents in which those descriptors are assigned. As a result of journal analysis, six representative journals which are closely related to archiv* have been identified. The six journals were Archivaria, Advanced Technology Libraries, Journal of the Society of Archivists, American Archivist, Archifacts, and Records Management Bulletin. The results of descriptor analysis show that the most comprehensive and core subject was digital libraries, and the most comprehensive and core object was the electronic media. Another result of detailed analysis shows that the outstanding objects were publications, special collections/sound, cultural heritage, television, image/photographs, internet/bibliographic data, and DB/newspapers. On the other hand, outstanding subjects were Archives, National Libraries, Universities, Libraries and companies.

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Our study involved assessing new Hungarian multi-resistant apple cultivars (‘Artemisz’, ‘Hesztia’, ‘Rosmerta’, and ‘Cordelia’) and two commercial cultivars (‘Watson Jonathan’ and ‘Prima’). The samples were evaluated by a trained assessor panel applying computer supported profile analysis with 20 descriptive sensory parameters (using ProfiSens sensory assessment software). Beside the profiles of each cultivar we also showed the significant differences between the cultivars (LSD95%, LSD99%). The nutritional values were analysed using the MANOVA statistical method, the effects of significant factors on measured values were evaluated by using Tukey (P=0.05) post-hoc test, and we determined the homogeneous and heterogeneous groups based on that. Our study showed that PCA bi-plots containing sensory and instrumental value loadings together with the scores of apple cultivars make the complex relationships of each cultivar available for comparison. The results clearly showed that the intensity of the sour taste is inversely proportional to the carbohydrate-acid ratio determined by measurements. The flesh firmness and pectin content values obtained by instrumental measurements were found to be strongly correlated sensory parameters on crispness, texture, and ripeness. PCA plots proved to be very useful in demonstrating the parallelisms between instrumental-instrumental (TPC/FRAP) and sensory-sensory (shade/colour) parameter pairs, too. Our aggregated results show that the new Hungarian resistant apple cultivars have almost as good as or even better nutritional values than ‘Prima’ and ‘Jonathan’ (the latter dominated the Hungarian apple production for several decades). The new multi-resistant cultivars renew the range of apple cultivars available on the market, and they introduce new flavours to consumers.

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Acta Alimentaria
Authors:
V. Losó
,
A. Tóth
,
A. Gere
,
J. Heszberger
,
G. Székely
,
Z. Kókai
, and
L. Sipos

food profile analysis. J. Chemometrics , 22 , 218–226. Papp E. Testing panel consistency with GCAP method in food profile analysis J. Chemometrics

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Physiology International
Authors:
György Szigeti
,
Gábor Schuth
,
Tamás Kovács
,
Péter Revisnyei
,
Alija Pasic
,
Ádám Szilas
,
Tim Gabbett
, and
Gábor Pavlik

Abstract

Objective

Creatine kinase (CK) is widely used as a monitoring tool to make inferences on fatigue and readiness in elite soccer. Previous studies have examined the relationship between CK and GPS parameters, however these metrics may not accurately describe the players' load during soccer-specific movements. Football Movement Profile (FMP) monitoring is a viable option for such purposes, providing solely inertial sensor-based data and categorizing movements according to intensity (very low, low, medium, high) and movement type (running-linear locomotive, dynamic – change of direction or speed).

Methods

We investigated the relationship between the FMP distribution of youth (U16–U21) national team soccer players and the absolute day-to-day change in CK. We applied Spearman's correlations, principal component analysis and K-means clustering to classify players' CK responses according to their specific FMP.

Results

Moderate to large negative associations were found between very low intensity FMP parameters and CK change (r = −0.43 ± 0.12) while large positive associations were identified between CK change and other FMP metrics (r = 0.62 ± 0.12). Best fitting clustering methods were used to group players depending on their CK sensitivity to FMP values. Principal component analysis explained 83.0% of the variation with a Silhouette score of 0.61 for the 4 clusters.

Conclusions

Our results suggest that soccer players can be clustered based on the relationship between FMP measures and the CK change. These findings can help to plan soccer training or recovery sessions according to the desired load on skeletal muscle, as FMP monitoring might bridge the limitations of GPS telemetry.

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citrate and various cheese starter cultures . Makara J. Technol. , 16 ( 2 ): 149 – 156 . Bourne , M. ( 1978 ). Texture Profile Analysis . Food Technology , 32 : 62

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Profile Analysis (TPA) test by TA-XTplus (Stable Micro System, Surrey, UK) Texture Analyzer with P/25 type stainless steel cylinder at room temperature. Test setting were as follows: compression with pre-test speed 2 mm/s, test speed 1 mm/s, post

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and determining the optimal critical values ( Li et al., 2020 ). However, in the absence of clinical results, a combined approach of latent profile analysis (LPA) and receiver operating characteristic (ROC) analysis can be used as an alternative

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( Pontes et al., 2014 ), we used latent profile analysis in Mplus 7.11 ( Muthen & Muthen, 1998–2012 ) to test models with one to six latent classes. Multiple imputations (100 iterations) using multivariate imputation by chained equations ( van Buuren

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