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The purpose of this paper is to analyse the relationship between a supportive organisational climate and training process outcomes; to analyse the mediating effect of job satisfaction between a supportive organisational climate and training process outcomes; and to analyse the moderating effect of a proactive attitude on a supportive organisational climate and training process outcomes.

The participants consisted of 359 employees recruited from 18 companies in Spain. The hypotheses were tested with structural equations via partial least squares regression.

The data indicated a positive and statistically significant relationship between a supportive organisational climate and training process outcomes. The proposed moderating and mediating effects are also verified.

This work contributes to the literature on human resource management and the relationship between organisational behaviour and training outcomes. In addition, it shows the role of attitudes between organisational climate and training outcomes.

Place-based foodstuffs have gained salience in markets worldwide and geographical indication (GI) products are prominent examples. The purpose of this paper is to focus on the governance (formal and informal institutions) of the European and Japanese GI schemes, discuss the variety of procedures of implementing the features of the governance system (inclusion and exclusion of actors) for six GI cases and reflect on future GI governance.

The criteria for assessing the six cases were descriptive and analytical and the information and data come from official documents, literature (scientific and “grey”), interviews, observations and personal communications with key-informants of the GI systems. Three of the cases are categorized as “failures” and are included to provide more insights on the diverse dynamics of GI systems.

Registration of GIs seems to be a process rather than a single step, requesting coordination and consensus and an interplay between internal and external actors. “Success” and “failure” are relative and related to self-governance processes and the openness of the social system of the GI to establish transparency on inclusion and exclusion. GI systems require constant management and re-definition of production quality or geographical boundaries to adapt to market, climate or technological change.

The paper introduces GI systems categorized as “failures” (either products that did not register as GIs in the end or did register but failed to keep the registration) which provides more insights on how to design and manage complex GI systems.

The purpose of this study is to evaluate the effects of prebiotic, probiotic and synbiotic supplementation on liver histopathology and TLR-4, NFκB and TNF-α gene expression involved in the inflammatory cascade and pathogenesis of experimental nonalcoholic fatty liver disease (NAFLD).

Wistar male adult rats (n = 40) were submitted to hypercholesterolemic conditions (60 days). On Day 30 of hypercholesterolemic conditions, rats were subdivided in five groups: negative control (NC), positive control (PC), prebiotic (PRE), probiotic (PRO) and synbiotic (SYN). All rats were sacrificed on Day 60. Liver tissue was used to verify histopathological changes and gene expression. Gene expression of TLR-4, TNF-α and NFκB was evaluated in liver tissue using RT-qPCR.

Histopathological analysis: PC showed more changes than NC, and PRE and SYN showed fewer alterations than PC. Gene expression analysis: PRE showed higher TLR-4, and NFκB and TNF-α compared to PC. Also, PRE showed higher TLR-4 when compared to PRO and SYN. SYN group revealed higher TLR-4 and NFκB expressions compared to PC. PRO group also showed higher NFκB expression compared to PC.

NAFLD is a significant health concern, and it found that prebiotic, probiotic and synbiotic supplementation could have positive effects as a nonpharmacological approach to control this disease.

Anyone who has tried to review studies relating to use of academic libraries may argue that a great deal of research exists on college students and how they use their libraries. Studies of reading habits and library use among college students have been appearing for more than fifty years, and the diligent student can compile an impressive bibliography of these studies. In spite of all we have learned about student interaction with library resources, there is still much we do not know.

The purpose of this paper is to examine the effects of different menu labelling formats on healthy food choices in a real restaurant setting.

This cross-sectional, randomised and controlled parallel-group trial was conducted in Brazil in 2013. In total, 313 university students were randomly assigned to one of three parallel groups with different menu labelling formats. Of these, data from 233 students were analysed. The others did not attend and were excluded. Intervention Group 1 (n=88) received information in the form of a traffic light plus guideline daily amounts, while Intervention Group 2 (n=74) was presented with ingredients list plus highlighted symbols (IL+S). The control group (n=71) received a menu with no menu labelling. Data were collected on one weekday in a restaurant setting. Trial outcomes were assessed by healthy food choices.

Healthy food choices of students who received the menu showing IL+S were significantly higher when compared to the other groups. This same menu labelling format positively affected healthy food choices in women, not overweight participants and in participants who often ate out more than twice a week.

Menu labelling format presenting ingredients list and highlighted symbols was positively associated with healthy food choices among the university students in Brazil. This type of labelling could be adopted in future legislation on menu labelling in Brazil and around the world.

Without damaging and consuming natural resources, green computing technology can meet the needs of society for a long time. This paper discusses how to realize the sustainable development of social economy through the innovation of green computing technology.

For the green computing technology and sustainable social and economic development problems, it builds back propagation (BP) neural network model and analyzes the topological structure of the network model as well as the impact of the training errors allowed by the network on its performance.

By optimizing the number of input nodes, the number of hidden nodes and the target value, the genetic algorithm (GA) can get the optimal neural network model. The simulation experiment proves that the proposed model is effective.

It can not only reduce the possibility of falling into local optimum, but also optimize the initial weights and thresholds of BP neural network and further improve the stability and test effect of BP neural network model.