In Swedish schools, the so-called ‘Participation Model’ is used to observe and analyse participation, with the intention of supporting an inclusive learning environment. While this model is widely promoted by government agencies, its theoretical alignment to the concept(s) of inclusion is not established. This article therefore compares and maps the six aspects of participation within the Participation Model (i.e. belonging, accessibility, interaction, autonomy, involvement and acceptance) with a hierarchically ordered set of commonly occuring definitions of inclusive education (ranging from the (...) lowest level, placement, to the highest, community). The Participation Model was found to provide necessary and sufficient conditions for the lower levels of inclusion, as well as necessary conditions for the higher levels of inclusion. However, we show that the model suffers from construct underrepresentation and outline a few possible solutions intended to increase the theoretical alignment between the Participation Model and the higher levels of inclusive education. Finally, we suggest directions for further research. (shrink)

. Software testing is a very important phase in the development of software. Testing includes the generation of test cases which, if done manually, is time consuming. To automate this process and generate optimal test cases, several meta-heuristic techniques have been developed. These approaches include genetic algorithm, cuckoo search, tabu search, intelligent water drop, etc. This paper presents an effective approach for test data generation using the cuckoo search and tabu search algorithms. It combines the cuckoo algorithm's strength of converging (...) to the solution in minimal time along with the tabu mechanism of backtracking from local optima by Lévy flight. The experimental results show that the algorithm is effective in generating test cases optimally and its performance is better than various earlier proposed approaches. (shrink)

This article presents the results of the evaluations of the mechanical stresses associated with the performance of manual lifting tasks of loads and those operators must endure in their workplaces, considering these the most recurrent cases and positions. This study is based on a static analysis of certainspecific positions of the human body, the transmission of forces through the musculoskeletal structure, and the generation of efforts at critical points of the body. In addition to this, it is considered a revision (...) of the criteria of the Spanish Technical Standard NTP-477. There are critical points of the musculoskeletal structure that support considerable efforts, the recommendations and criteria provided by the NTP-477 are relevant and although limited, provide an adequate margin of safety to avoid injury to workers. (shrink)

A case of a particularly severe misbehavior in a review process is described. Two reviewers simply copied and pasted their critical comments from their previous reviews without reading the reviewed manuscript. The editor readily accepted the reviewers’ opinion and rejected the manuscript. These facts give rise to some general questions about possible factors affecting the ethical behavior of reviewers and editors, as well as possible countermeasures to prevent ethical violations.

Most clinical neurofeedback studies based on functional magnetic resonance imaging use the patient's own neural activity as feedback. The objective of this study was to create a subject-independent brain state classifier as part of a real-time fMRI neurofeedback system that can guide patients with depression in achieving a healthy brain state, and then to examine subsequent clinical changes. In a first step, a brain classifier based on a support vector machine was trained from the neural information of happy autobiographical imagery (...) and motor imagery blocks received from a healthy female participant during an MRI session. In the second step, 7 right-handed female patients with mild or moderate depressive symptoms were trained to match their own neural activity with the neural activity corresponding to the “happiness emotional brain state” of the healthy participant. The training was carried out using the rt-fMRI NF system guided by the brain-state classifier we had created. Thus, the informative voxels previously obtained in the first step, using SVM classification and Effect Mapping, were used to classify the Blood-Oxygen-Level Dependent activity of the patients and converted into real-time visual feedback during the neurofeedback training runs. Improvements in the classifier accuracy toward the end of the training were observed in all the patients [Session 4–1 Median = 6.563%; Range = 4.10–27.34; Wilcoxon Test, 2-tailed p = 0.031]. Clinical improvement also was observed in a blind standardized clinical evaluation [HDRS CE2-1 Median = 7; Range 2 to 15; Wilcoxon Test, 2-tailed p = 0.016], and in self-report assessments [BDI-II CE2-1 Median = 8; Range 1–15; Wilcoxon Test, 2-tailed p = 0.031]. In addition, the clinical improvement was still present 10 days after the intervention [BDI-II CE3-2_Median = 0; Range −1 to 2; Wilcoxon Test, 2-tailed p = 0.50/ HDRS CE3-2 Median = 0; Range −1 to 2; Wilcoxon Test, 2-tailed p = 0.625]. Although the number of participants needs to be increased and a control group included to confirm these findings, the results suggest a novel option for neural modulation and clinical alleviation in depression using noninvasive stimulation technologies. (shrink)