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Multi-criteria methods represent an adequate tool for solving complex decision problems that provide real support to the decision maker in the choice process. This paper analyzes a decision problem that recurs over time using one of the newer methods as the Parsimonious AHP.

In this paper we integrated the P-AHP with: (1) the weighted average which takes into account the objectivity of the data; (2) ordered weighted average (OWA) aggregation operators that address the subjective nature of the data; (3) the Choquet integral and (4) the Sugeno integral which also considers the uncertain nature of the final ranking as it is defined on a fuzzy measure.

The present paper proves that variations in the final ranking, due to the different mathematical properties of the selected aggregators, are fundamental to select the best alternative without neglecting any characteristic of the input data. In fact, it is discussed and underlined how and why the best alternative is one that never excels but has very good positions with respect to all aggregation operator rankings.

The aim and innovation presented in this work is the use of the Parsimonious AHP (P-AHP) method in a dynamic way with the use of different aggregation techniques.

In this paper, we address the need to study automatic propaganda detection to establish a course of action when faced with such a complex task. Although many isolated tasks have been proposed, a roadmap on how to best approach a new task from the perspective of text formality or the leverage of existing resources has not been explored yet.

We present a comprehensive study using several datasets on textual propaganda and different techniques to tackle it. We explore diverse collections with varied characteristics and analyze methodologies, from classic machine learning algorithms, to multi-task learning to utilize the available data in such models.

Our results show that transformer-based approaches are the best option with high-quality collections, and emotionally enriched inputs improve the results for Twitter content. Additionally, MTL achieves the best results in two of the five scenarios we analyzed. Notably, in one of the scenarios, the model achieves an F1 score of 0.78, significantly surpassing the transformer baseline model’s F1 score of 0.68.

After finding a positive impact when leveraging propaganda’s emotional content, we propose further research into exploiting other complex dimensions, such as moral issues or logical reasoning.

Based on our findings, we provide a roadmap for tackling propaganda-related tasks, depending on the types of training data available and the task to solve. This includes the application of MTL, which has yet to be fully exploited in propaganda detection.

The main purpose of this paper was to evaluate the influence of the zein coating containing essential oils on the sensory characteristics of sodium-reduced mozzarellas.

Mozzarellas were prepared by dipping in brine containing 5, 10, 15 or 20% of NaCl (w/v) that correspond, respectively, to 25, 50, 75 and 100% of NaCl content used in industry. These salted mozzarellas and another one, unsalted, were coated by an edible zein film added with 3% of a mixture of thyme and garlic essential oils (1:1). They were subjected to sensory analysis in relation to salty taste and overall impression. The mozzarella without salt reduction (20% NaCl w/v), coated or uncoated with the edible film, was also subjected to the analysis of water loss and microbiological quality, in order to evaluate the impact of this film on product quality.

The zein coating added with oils did not compromise the sensory acceptance of the mozzarella prepared with up to 50% of salt reduction. Water loss and microbial growth were lower in zein-coated mozzarella than in uncoated mozzarella. These results showed that this film could be applied as natural additive, contributing to the microbiological and sensory characteristics of the mozzarella.

This paper contributes to reducing the lack of studies in relation to new technologies for food preservation and sodium reduction. In addition, the zein coating containing essential oils can be tested on other food categories.

Propaganda is a prevalent technique used in social media to intentionally express opinions or actions with the aim of manipulating or deceiving users. Existing methods for propaganda detection primarily focus on capturing language features within its content. However, these methods tend to overlook the information presented within the external news environment from which propaganda news originated and spread. This news environment reflects recent mainstream media opinions and public attention and contains language characteristics of non-propaganda news. Therefore, the authors have proposed a graph-based multi-information integration network with an external news environment (abbreviated as G-MINE) for propaganda detection.

G-MINE is proposed to comprise four parts: textual information extraction module, external news environment perception module, multi-information integration module and classifier. Specifically, the external news environment perception module and multi-information integration module extract and integrate the popularity and novelty into the textual information and capture the high-order complementary information between them.

G-MINE achieves state-of-the-art performance on both the TSHP-17, Qprop and the PTC data sets, with an accuracy of 98.24%, 90.59% and 97.44%, respectively.

An external news environment perception module is proposed to capture the popularity and novelty information, and a multi-information integration module is proposed to effectively fuse them with the textual information.

This paper investigates the incentives to coffee farmers to participate in certification schemes that require improved agricultural practices.

The authors ran a choice experiment among 250 Brazilian coffee farmers in the state of Minas Gerais, Brazil.

The authors’ findings show that both cash and non-cash payments are likely to incentive farmers' participation in a certification scheme. Besides price premium, incentives as long-term contracts and provision of technical would encourage producers to adopt eco-certification schemes. Our results also suggest that non-cash payments may be appropriate substitutes to a price premium to some extent.

The large coffee producers are over-represented in our sample compared to the population of Brazilian coffee farms. However, it seems reasonable to focus on these producers, as they are usually the ones who individually adopt strategies, since small farmers are induced by collective strategies (e.g. cooperatives).

The result regarding technical assistance makes sense given that Brazilian farmers generally have poor access to rural extension services.

We contributed in the literature about adoption of sustainable agriculture practices analyzing the requirements and motivations for farmer participation in certification schemes. We also contribute private and public strategies to encourage the adoption of sustainable practices.

The use of technology in education is still seen as a symbol of modernity in Indonesia. Without adequate technological infrastructural support from institutions, teachers develop ways to incorporate technology into their classrooms. The purpose of this paper is to investigate the affective domain in learning mathematics with technology across genders and across two student groups, where in one group the students shared learning devices, while the other group of students used individual devices.

The study adopts both quantitative and qualitative methods and is based on data collected from five secondary schools in Indonesia.

The findings reveal attitudinal differences are associated with technology usage in mathematics classrooms. Quantitative measurements across four attitudinal subscales—mathematics motivation, attitudes to the use of technology in mathematics, technological confidence and mathematics confidence—indicate that affordances in technologies influence boys and girls attitudes; while qualitative data share further insights on gender perspectives related to attitudinal differences.

Appropriate pedagogical approaches with equitable access to technologies are important for engaging students in learning mathematics with technology.

This empirical study reveals aspects related to student participation with technologies in classrooms, which has important implications for student development.

The study contributes to literature on mathematics education related to the use of learning technologies in secondary schools of a developing country.

This research models the impact of patient perceptions of care quality on overall patient satisfaction in a rural healthcare organization over a three-year time period. The purpose of this paper is to determine if the factors that influence perceptions of service quality change over time and if the change affects overall patient satisfaction.

Data were collected for three fiscal years (2012-2014) using a 36-question, Likert-scaled attitudinal survey. Multiple regression analysis was performed to identify which constructs of five different service quality dimensions were statistically significant in predicting overall patient satisfaction. Paired comparison of means and ANOVA F-tests highlighted significant differences across years and demographics.

Multiple regression models of overall patient satisfaction over a three-year time period had significant repeat variables, indicating salience of the dimensions and constructs of service quality that predict patient satisfaction. However, some dimensions of service quality did not remain significant from one year to another, indicating there may be a gap in the patient service cycle over an extended time frame.

This paper explored the sequential relationship between patient satisfaction survey data and perceptions of service quality over a multi-year time frame. The research focussed on outpatient medical clinics, while the majority of previous studies have focussed on acute care or inpatient stays. A longitudinal study is especially relevant for outpatient clinics where continuity of care is important.

This study aims to identify the price determinants of fine wines in a small and competitive market. These characteristics are found in many lesser-known wine-producing countries and are often difficult to analyse because of lack of data.

This study hand-collects and transcribes wine-related data for 149 Swiss wineries and 2,454 individual wines over the period 2014–2018 directly from wine lists provided by wineries. This study uses multivariate ordinary least squares regressions to analyse the relation between wine attributes and prices and to assess the effect of a currency shock caused by the sudden appreciation of the Swiss franc in 2015 as well as a reduction in information asymmetries induced by the novel coverage of Swiss wines by The Wine Advocate.

Prices mainly depend on collective reputation, production techniques and product positioning. Surprisingly, following a sharp appreciation of the Swiss franc, producers did not reduce prices. The arrival of a highly influential wine expert on the market also had a positive price effect on rated wines and producers. Both hint at wineries attempting to position themselves relative to competitors.

Few studies examine the price drivers in lesser-known wine markets, where competition is fierce. This study’s results show that wine pricing differs from other more famous and larger wine regions. In addition, to the best of the authors’ knowledge, this study is also the first to analyse the impact of a currency shock and a reduction in information asymmetries on wine prices.