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Found 6412 publications

Antioxidant and polyphenol content of different milk and dairy products

E. Lakatos V. Kapcsándi Székelyhidi Rita Beatrix Sik Henrietta Buzás Fanni Daróczi

Publication Name: Journal of King Saud University Science

Publication Date: 2023-10-01

Volume: 35

Issue: 7

Page Range: Unknown

Description:

The aim of the present study was to determine the antioxidant capacity and total polyphenol content of raw milk, dairy products (ricotta and cottage cheese), and by-products (sweet and acid whey) from different animal breeds (cow, goat). Overall, the total polyphenol content of raw milk ranged from 420.34 to 490.72 mg GAE/100 mL, while the total antioxidant content changed between 8.95 and 28.72 mg AAE/100 mL. These values in the case of cottage cheeses were 32.29–124.29 mg GAE/100 mL for polyphenols and 14.12–16.38 mg AAE/100 g for antioxidants. Significant differences were observed between the total polyphenol content and antioxidant properties of sweet- (10.85–197.55 mg AAE/100 g antioxidant; 32.29–124.29 mg GAE/100 g polyphenol) and acid whey (13.28–158.69 mg AAE/100 g antioxidant; 43.50–98.03 mg GAE/100 g polyphenol). In addition, slight differences in total polyphenol content (10.55–19.01 mg GAE/100 g) and antioxidant capacity (10.84–15.93 mg AAE/100 g) were observed for ricotta cheeses made from milk of different animal breeds. The results show that milk and dairy products are excellent sources of antioxidants and polyphenols.

Open Access: Yes

DOI: 10.1016/j.jksus.2023.102839

Work from home practices as corporate strategy- an integrative review

Laszlo Vasa Gagan Deep Sharma Anirudh Agrawal Ritika Chopra Amar Rao Pawan Budhwar

Publication Name: Heliyon

Publication Date: 2023-09-01

Volume: 9

Issue: 9

Page Range: Unknown

Description:

The Covid 19 pandemic led to major changes at the individual, organisational and institutional levels of policy, productive functions, and organising. During Covid 19 morbidity, public institutions enforced social isolation, mandatory self-isolation, quarantines, and administrative regulatory lockdowns, which led to a movement away from the physical, material world and into an all-consuming digital universe. With growing interest in work-from-home (WFH) opportunities, this article provides an integrative review of 107 papers. It comprises the bibliometric analysis and manual review of the articles, on the basis of which we present an elaborative discussion and agenda for future research. According to the analysis, WFH looks a tad of a double-edged sword in that it may have major but unintended repercussions for institutions, and organizations as well as hidden, positive as well as negative consequences for individuals/employees. One of the significant insight from our analysis was the absence of HR function's strategic or operational input or oversight during corporate WFH strategies. We suggest several theoretical frameworks for further developing, theorizing, and empirically testing various aspects of WFH. Further, we recognise that WFH is becoming increasingly visible as a result of the pandemic scenario and significant technical advancements, which must be reflected in the research. Finally, because WFH represents a significant disruption in how organizations produce work and manage it, we propose employee and managerial consequences as future research agendas.

Open Access: Yes

DOI: 10.1016/j.heliyon.2023.e19894

From scroll to sale: Predicting of customer engagement in impulse buying cycle on TikTok through the S-O-R model

Judit Petra Koltai Tamás Vinkóczi Izabella Mária Végvári Martina Németh

Publication Name: Acta Psychologica

Publication Date: 2026-02-01

Volume: 262

Issue: Unknown

Page Range: Unknown

Description:

The popularity of TikTok is evident on a global scale, leading to its adoption by numerous companies as a promotional platform. The Stimulus - Organization - Reaction model has been validated in its capacity to describe the purchase process. The present study investigates the Hungarian manifestations of the factors of this model to develop a forecasting method that will allow for prediction of the success of TikTok impulse purchase marketing strategies. The prediction method under analysis is based on factor and regression analyses and validation. The exploratory part utilizes a questionnaire survey of 283 Hungarian university students. The validity of the results is measured on a different university sample of 104 active users of TikTok and users of alternative social media platforms. The findings indicate that the factors comprising the impulse purchase cycle involvement include the urge to buy impulsively, utilitarian value, perceived similarity, and co-promotion. The validation process revealed that the rates of agreement with the predictions among TikTok users exceeded 90 %, while the rate among users of other social media platforms reached over 80 %. The principal strength of this study lies in its quantification and transformation of questionnaire data into a pivotal key performance indicator suitable for companies.

Open Access: Yes

DOI: 10.1016/j.actpsy.2025.106006

Increasing diagnostic accuracy by meta optimization of fuzzy rule bases

János Botzheim Mario Drobics Laszlo T. Koczy

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2007-12-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

In medicine the decision on which test to choose for a given decision problem is a delicate problem. On the one hand a positive test should be a reliable indicator on the presence of a disease, while on the other hand a negative test is required to be an indicator on the absence of a disease. Of course, these two goals are conflicting and a balanced decision according to the current situation is required. Inductive learning methods for (fuzzy) rule bases are, however, typically not capable of optimizing such complex and problem depending goal functions. We therefore present a meta-learning algorithm which selects a subset from a previously generated set of fuzzy rules using bacterial evolutionary algorithms. We also present a study where the proposed method is used to generate a model for predicting the presence/absence of hepatitis, based on laboratory results. © 2007 IEEE.

Open Access: Yes

DOI: 10.1109/FUZZY.2007.4295377

Water stress-based price for global sustainability: a study using generalized global sustainability model (GGSM)

Urmila M. Diwekar Neeraj Hanumante Apoorva Nisal Heriberto Cabezas Yogendra Shastri

Publication Name: Clean Technologies and Environmental Policy

Publication Date: 2025-03-01

Volume: 27

Issue: 3

Page Range: 1131-1150

Description:

Abstract: Considering the importance of water in the global Food-Energy-Water nexus, stress-dependent water pricing can be a valuable tool to achieve water sustainability. Given the large variability in water availability and demands across the globe, such mechanism should be implemented at regional scale. However, water pricing explicitly incorporating regional water stress has been rarely studied and used. Here, the generalized global sustainability model is modified and used to model continent-level stress-based water price and its effectiveness as a policy tool. The water price model includes a constant component representing the base price and a variable component which is a linear function of the water stress. The water stress feedback is modeled through the demand elasticity of water price. These models are parameterized for six global regions and three water-consuming sectors. Regional distribution of parameters is carried out based on GDP per capita, whereas sectoral distribution is obtained based on literature. The simulation results indicate that incorporating stress-based water price feedback reduces water stress for otherwise high water stress regions like Africa. Since the response to water price changes can reduce water stress, a water stress-based price model can be used as a policy instrument. This model can also capture the systemic progression of the influence of water price rise. The African continent may experience a reduction in food production by about 26% due to rising water prices. Because of the trade-off between regional food production and water stress, cooperation between various regions could help reduce the impact of the impending water crisis. North America and Europe may produce surplus food products and play a pivotal role in alleviating the critical situation in Africa.

Open Access: Yes

DOI: 10.1007/s10098-024-02888-x

A comprehensive, semi-automated systematic literature review (SLR) design: Application to P-graph research with a focus on sustainability

Jean Pimentel Árpád Tóth Alex Suta Andres Argoti

Publication Name: Journal of Cleaner Production

Publication Date: 2023-08-20

Volume: 415

Issue: Unknown

Page Range: Unknown

Description:

Because of the vast number of academic products with focus on sustainability being currently generated, it is becoming exceedingly difficult and time-consuming to perform accurate literature reviews that have actual relationship with such a topic and correctly reflect its state of the art. Thus, this work proposes a comprehensive Systematic Literature Review (SLR) design as a novel approach for collecting the body of contributions for any given research field in general and sustainability in particular. This design is guided by a semi-automated procedure that aims at incorporating the best automation features of earlier SLRs and involves available scientific databases, e.g., Scopus and Web of Science. The results of the proposed SLR design include bibliometric analyses, a list of researcher and institution networks, and a qualitative assessment of practical applications of the field of interest. Moreover, the proposed semi-automated approach allows for the inclusion of subject categorization based on the generation of author-density maps and keyword co-occurrence networks. For illustration, the semi-automated SLR design is implemented by thoroughly reviewing the contributions pertaining to the P-graph (Process Graph) framework with a focus on sustainability. The P-graph framework has been applied to multiple areas, such as network design, optimization, and system integration; in particular, the framework has proven to be useful for the development of sustainable systems. Upon execution, the semi-automated SLR design collected 284 contributions related to P-graph, of which 139 were classified as sustainability-related, and further partitioned into specific categories. It is expected that the proposed semi-automated SLR design will help researchers in the sustainability community accelerate the generation of works in that area by rapidly generating accurate literature reviews.

Open Access: Yes

DOI: 10.1016/j.jclepro.2023.137741

Biomechanical Analysis of Gymnastics Movements Using Wearable Motion Capture Systems and Linear Sensors: A Case Study of the Kipping Bar Muscle-Up

Yaodong Gu Gusztáv Fekete Qichang Mei Zixiang Gao Yining Xu Zhenghui Lu Wei Liu Xin Li

Publication Name: Advances in Transdisciplinary Engineering

Publication Date: 2024-01-01

Volume: 59

Issue: Unknown

Page Range: 523-529

Description:

Gymnastics moves are complex and varied, needing precise technique and body coordination, which traditional biomechanics methods struggle to capture in detail. This study aims to look at and judge how well new motion capture and analysis technology works in gymnastics biomechanics. This study picks the kipping bar muscle up move and uses the IMU-based Xsens system and the GymAware RS unit power test system to finely look at how athletes do the move in terms of body position, power, work done by the body, and main upper limb joint movements. The study tested 8 male elite collegiate gymnasts, collecting movement data with Xsens and power data with GymAware RS unit. Results show the kipping bar muscle up takes 1.42 seconds, with a 1.13-meter shift of the body's center and a peak speed of 3.40m/s. In terms of power, the peak output was 2772.96J/s, showing the need for explosive power and fast strength. Also, the total work done was 889.70J, showing the move's efficiency and energy level. This study shows that new motion capture and analysis tech is effective in capturing complex gymnastics moves. The use of these techs not only expands the ways biomechanics can be studied but also helps in making training better and improving how efficiently moves are done.

Open Access: Yes

DOI: 10.3233/ATDE240589

Fuzzy solution for non-linear quality models

János Botzheim Péter Földesi Laszlo T. Koczy

Publication Name: 12th International Conference on Intelligent Engineering Systems Proceedings Ines 2008

Publication Date: 2008-09-01

Volume: Unknown

Issue: Unknown

Page Range: 269-275

Description:

For designing and developing products/services it is vital to know the relevancy of the performance generated by each technical attribute and how they can increase customer satisfaction. Improving the parameters of technical attributes requires financial resources, and the budgets are generally limited. Thus the optimum target is to achieve maximum customer satisfaction within given financial limits. Kano's quality model classifies the relationships between customer satisfaction and attribute-level performance and indicates that some of the attributes have a non-linear relationship to satisfaction, rather power-function should be used. For the customers' subjective evaluation these relationships are not deterministic and are uncertain. This paper proposes a method for fuzzy extension of Kano's model and presents numerical examples that can prove the efficiency of bacterial evolutionary algorithm in as well. © 2008 IEEE.

Open Access: Yes

DOI: 10.1109/INES.2008.4481306

Rutin in buckwheat grain meal determined by UV photoacoustic spectroscopy and HPLC

György Végvári Andrea Brunori Ottó Dóka Dane Bicanic Rezso Schmidt

Publication Name: Nova Biotechnologica Et Chimica

Publication Date: 2017-06-27

Volume: 16

Issue: 1

Page Range: 61-67

Description:

A relatively novel approach for easy and quick determination of rutin in buckwheat grain is suggested. The rutin content of the grain in seven common buckwheat (Fagopyrum esculentum) and six Tartary buckwheat (Fagopyrum tataricum) varieties was investigated by means of UV photoacoustic spectroscopy and HPLC as reference method. The lowest content was found in 'Botan' and 'Bamby' varieties, while the highest values were obtained in the variety 'Emka'. Rutin content in grain of all Tartary buckwheat varieties was two orders of magnitude higher than in the other varieties. Rutin content in F. esculentum ranges between 9 and 36 mg/100 g dry weight as compared to 921 to 2 132 mg/100 g dry weight in F. tataricum. The UV photoacoustic spectroscopy data show rather good correlations of R2=0.977 and R2=0.980 with values obtained by HPLC data for all measured samples. Therefore, UV photoacoustic spectroscopy can be a cheap and quick method for determining rutin content in buckwheat grain.

Open Access: Yes

DOI: 10.1515/nbec-2017-0009