Search

Harassment and abuse represent a pervasive and critical problem in sport with far-reaching consequences. Survivors' testimonials underscore the profound and enduring impact of these experiences at individual, interpersonal, organizational and community level. Many of their stories reveal painful inaction from responsible adults in the sport organization, aggravating the harm. Other contributing factors to the harm inflicted include a culture of silence, lack of knowledge and understanding of what constitutes abuse, unawareness of reporting and supporting mechanisms, and fear of potential consequences. While effective bystander interventions have been developed outside the sport context, particularly targeting students in higher education, such initiatives have yet to be extensively adapted and assessed within the sport context. To address this gap, the Safe Sport Allies Erasmus+ collaborative partnership relied on the intervention mapping approach as a guiding framework to systematically develop a bystander training program (i.e., Safe Sport Allies) to train youth sport participants and youth sport coaches to act as effective bystanders. The current paper describes the comprehensive development process and provides an overview of implementation and evaluation possibilities. Throughout the paper, it is explained how each step of the Intervention Mapping approach shaped the Safe Sport Allies bystander training program. The program development, and the developed plans for implementation and evaluation are presented, shedding light on challenges encountered. The bystander training program developed in this paper and the implementation and evaluation plans can serve as an outline to build future interventions within this critical domain of safeguarding in sport. [ABSTRACT FROM AUTHOR]

In this paper, we consider convolution operators, integral operators with weak singularity, Riesz potentials, in particular, those with kernels Ki (x, y) = xi−yi |x−y|n acting in special classes of Banach function spaces X (Ω) and their subspaces Xs (Ω)), and we prove some representation theorems for the functions from Banach-Sobolev spaces. We also prove the boundedness of Riesz potential in additive-invariant spaces. [ABSTRACT FROM AUTHOR]

Copyright of Revista de Ciencias Sociales (13159518) is the property of Revista de Ciencias Sociales de la Universidad del Zulia Venezuela and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the prevalence of deep learning and convolutional neural network (CNN), data augmentation is widely used for enriching training samples to gain model training improvement. Data augmentation is important when training samples are scarce. This work focuses on improving data augmentation for training an industrial steel surface defect classification network, where the performance is largely depending on the availability of high-quality training samples. It is very difficult to find a sufficiently large dataset for this application in real-world settings. When it comes to synthetic data augmentation, the performance is often degraded by incorrect class labels, and a large effort is required to generate high-quality samples. This paper introduces a novel off-line pre-augmentation network (PreAugNet) which acts as a class boundary classifier that can effectively screen the quality of the augmented samples and improve image augmentation. This PreAugNet can generate augmented samples and update decision boundaries via an independent support vector machine (SVM) classifier. New samples are automatically distributed and combined with the original data for training the target network. The experiments show that these new augmentation samples can improve classification without changing the target network architecture. The proposed method for steel surface defect inspection is evaluated on three real-world datasets: AOI steel defect dataset, MT, and NEU datasets. PreAugNet significantly increases the accuracy by 3.3% (AOI dataset), 6.25% (MT dataset) and 2.1% (NEU dataset), respectively. [ABSTRACT FROM AUTHOR]

The Teichmüller space of closed Riemann surfaces of genus two is considered as a subset of \mathbb {R}^7. We present some mapping classes acting on the model of the Teichüller space and investigate its action especially on the extremal surfaces with respect to a certain metric. As a result we estimate the distance between two orbits of distinct extremal surfaces from above. [ABSTRACT FROM AUTHOR]

The European Union Animal Health Law (2016/429) emphasizes disease prevention, underpinned by livestock biosecurity, surveillance, and traceability, as key aspects to minimize the risk of animal diseases. An important element of biosecurity is the training of key actors involved in implementing it. However, their needs and expectations regarding this training are poorly known. Under the COST action BETTER (CA20103), a World Café was organized to identify the needs and expectations of biosecurity training for farmers, veterinary practitioners, veterinary students, and other actors. A total of 78 participants distributed in four groups participated in the World Café. Needs and expectations were identified and ranked in decreasing order of importance. For farmers, the most important aspects were training focusing on practical aspects, the planning of training sessions in the day to accommodate workload, the need to prepare multiple reminders of upcoming training, and the short duration of events. For veterinary practitioners, it was considered that a mixed approach, including a theoretical and a practical part where people are invited to create a biosecurity plan and a follow-up report, were the most important features of training. For veterinary students, creating a good knowledge of the main principles of biosecurity was found as an essential element of training. Regarding other actors, gaining an understanding in the spread of pathogens and the repercussions on the cost of animal products that diseases might have (consumers), training on good/best practices of cleaning and disinfection and the development of clear protocols (transporters), and a mixture of formal and informal training and training on communication skills (other actors) were considered important. The World Café was a useful method to have a first identification, discussion, and differentiation on livestock biosecurity training needs and expectations of the key actors, although additional follow-up research involving more participants from more diverse countries with different coverage of cultures and education would be beneficial. These needs and expectations are relevant and should be considered when designing new training courses. [ABSTRACT FROM AUTHOR]