Search results

Self-regulation skills, such as organisation, self-evaluation, personal elaboration, metacognitive attitude and strategic awareness are very important predictors of academic achievement. However, research has not studied in depth the factors that facilitate the use of good self-regulatory skills. The present research was intended to study the role of some factors that could affect these self-regulation skills, in particular depressive attitude and motivational beliefs. A group of 246 adolescents, aged between 14 and 18, were administered self-report questionnaires devised to test aspects underlying self-regulation. A preliminary factor analysis confirmed the centrality of the three-hypothesised aspects: motivational beliefs, depressive attitude, and self-regulation-skills. A path analysis revealed that there are important links between motivational beliefs and self-regulation and between depressive attitude and motivational beliefs. Some educational implications are discussed.

Advantages claimed by the authors for this type of magnetic sensor for embedding in robot fingers are that it is independent of the rate of approach, it is reliable in hostile environments, and it yields output easily processed by digital electronics.

Companies that wish to market a global brand need to develop a greater understanding of consumers' and potential consumers' susceptibility to global consumer culture (SGCC) with a view to standardizing/adapting their brand according to the desires and preferences of the consumers who belong to specific segments of global consumers. Thus, the aim of the study is to fill a joint segmentation research gap within and between countries based on seven dimensions of SGCC while classifying consumers according to the degree of belonging to specific and hybrid (global citizenship) segments.

A questionnaire was applied online in English in five countries across the Americas and Europe resulting in a sample of 412 consumers. Based on the fuzzy C-means cluster analysis, the study segments the sample of consumers according to the degree of belonging to specific and global citizenship segments.

Analysis of survey results show three groups; two distinct groups and a third with features of both, a distinct intersection group. These findings suggest that consumers in different countries develop beliefs and attitudes about global citizenship, and this perspective coincides with the characteristics of the intersection group. Consequently, the study shows that fragmentation of the needs of consumers exists within and between countries.

This study contributes to the concept of global citizenship, helping managers of global brands improve their marketing strategy decisions by implementing strategies that are standardized or adapted to specific hybrid segments of consumers that transcend national borders. This study used a statistical method to measure the degree of belonging to each segment.

To explicate the qualities of cooperation among leaders and their organizations during crisis, we studied the response to the 2013 Boston Marathon bombings. Through interviews and analysis, we discovered leaders successfully overcame obstacles that typically undermine collective crisis response. Qualitative analysis revealed five guiding behavioral principles that appeared to stimulate effective inter-agency leadership collaboration in high stakes. We draw upon concepts of collective leadership and swarm intelligence to interpret our observations and translate the findings into leader practices. We focus on replicable aspects of a meta- phenomenon, where collective action was greater than the sum of its parts; we do not evaluate individual leader behavior. Our findings provide a starting point for deeper exploration of how to bolster public safety by catalyzing enhanced inter-agency leadership behavior.

Wine, fruits, vegetables and whole grains are the main products of a healthy diet. The purpose of this paper is to scrutinize the existence of an interesting and evocative bond among moderate intake of wine, health and well-being.

By means of a fuzzy cluster analysis, the authors try to investigate the existence of groups of regions similar in wine consumption, subjective well-being, health and social relations. The latter are expressed through composite indicators, built and developed by Istat within the Italy ESW project’s activities (equitable and sustainable well-being). The analysis also investigates how this link has evolved over time. Data are related to refer to the situations in 2010 and 2017 in 21 regions of Italy.

Results obtained in 2010 seem to confirm the hypothesis of the existence of a link among moderate wine consumption, hedonism well-being and health, and in addition, findings highlight the so-called North‒South gap, that is the strong differences and economic issues among the different areas of the country. Then, outcomes obtained for 2017 appear in line with 2010 results.

Several authors from medicine, economics and chemistry domain strongly suggest and demonstrate that regular and moderate intake of wine reduces the incidence of heart disease, diabetes mellitus and hormonal problems, and correlatively increases longevity. In this work, the authors develop further research step including the aspects related to personal well-being and social relations under the umbrella of a hedonism approach. Finally, results highlight the existence of an amazing tie among moderate intake of wine consumption, well-being and health.

The purpose of this paper is to provide a rigorous, statistically correct, and low‐cost way to audit sample a lender's loan portfolio, be they a microlender or other type of lender. No other paper applies this method to loan portfolios, even though it is a high demand application.

Standard techniques of audit sampling and dollar unit sampling with stratification are applied to the particular case of a microlender's portfolio. Unlike the audit sampling that almost all auditors use, no arbitrary rules of thumb are applied.

The paper finds that statistical audit sampling for a lender's loan portfolio is simple, rigorous, and inexpensive.

In audit sampling, most auditors use arbitrary rules of thumb and have no idea whether they are sampling enough items to actually be sure, with some desired level of confidence, that they have found no defects. This simple, inexpensive, and statistically rigorous technique will allow auditors who actually want to do a good job to quantify the precision of their statements in a very common application.

This paper combines several disparate threads from the statistical literature on audit sampling in a way that auditors (who are usually not statisticians) can apply them for auditing the quality of a lender's portfolio – microfinance or otherwise – which is a very common need.

This study explores policies of collaborative governance between public and private actors through a specific case that sees the development of city areas previously abandoned or landlocked. It employs the case study methodology, analyzing the specific case of San Vincenzo’s Pier in the port city of Naples. The analyzed case reveals that a collaborative public–private approach might overcome typical bureaucratic-public hurdles to the development of cities, especially their abandoned areas.

Cases of public–private collaboration have strongly increased in the last decade in order to overcome classic public failure and to develop a more participated form of governance; therefore, the research question is aimed to understand which are the possible policies to put in action for an effective collaborative governance among public and private actors. It offers practical implications for public managers by demonstrating that the development of policy networks, comprising both public and private actors, is necessary for developing new ideas and for overcoming typical limits of both private and public administrations.

This paper aims to discuss traffic patterns generated by swarms of robots while commuting to and from a base station.

The paper adopts a mathematical evaluation and robot swarm simulation. The swarm approach is bottom‐up: designing individual agents the authors are looking for emerging group behaviour patterns. Examples of group behaviour patterns are human‐driven motorized traffic which is rigidly structured in two lanes, while army ants develop a three‐lane pattern in their traffic. The authors copy army ant characteristics onto their robots and investigate whether the three lane traffic pattern may emerge. They follow a three‐step approach. The authors first investigate the mathematics and geometry of cases occurring when applying the artificial potential field method to three “perfect” robots. Any traffic pattern (two, three or more lanes) appears to be possible. Next, they use the mathematical cases to study the impact of limited visibility by defining models of sensor designs. In the final step the authors implement ant inspired sensor models and a trail following mechanism on the robots in the swarm and explore which traffic patterns do emerge in open space as well as in bounded roads.

The study finds that traffic lanes emerge in the swarm traffic; however the number of lanes is dependent on the initial situation and environmental conditions. Intrinsically the applied robot models do not determine a specific number of traffic lanes.

The paper presents a method for studying and simulating robot swarms.

The purpose of this paper is to consider the logical specification, and automated verification, of high‐level robotic behaviours.

The paper uses temporal logic as a formal language for providing abstractions of foraging robot behaviour, and successively extends this to multiple robots, items of food for the robots to collect, and constraints on the real‐time behaviour of robots. For each of these scenarios, proofs of relevant properties are carried out in a fully automated way. In addition to automated deductive proofs in propositional temporal logic, the possibility of having arbitrary numbers of robots involved is considered, thus allowing representations of robot swarms. This leads towards the use of first‐order temporal logics (FOTLs).

The proofs of many properties are achieved using automatic deductive temporal provers for the propositional and FOTLs.

Many details of the problem, such as location of the robots, avoidance, etc. are abstracted away.

Large robot swarms are beyond the current capability of propositional temporal provers. Whilst representing and proving properties of arbitrarily large swarms using FOTLs is feasible, the representation of infinite numbers of pieces of food is outside of the decidable fragment of FOTL targeted, and practically, the provers struggle with even small numbers of pieces of food.

The work described in this paper is novel in that it applies automatic temporal theorem provers to proving properties of robotic behaviour.