Bridging the gap between sport science and coaching: A qualitative analysis of perceptions of South African coaches

There exists a wide gap between coaches’ needs and the information that is being disseminated by sport scientists. Therefore, the purpose of this study was to examine coaches’ perceptions concerning this bridging the knowledge gap between sport science and coaching in South Africa. Semi-structured interviews were conducted with eight high-performance sport coaches aged 24 to 42 years (M age = 33.50, SD = 6.44 years). Coaches participated in the study if they met the following selection criteria: (1) coaching a priority sport recommended by Sport and Recreation South Africa and (2) having been in coaching for at least five years at a high-performance level. Following a thematic analysis of the transcripts, the following three broad themes emerged: (1) sources of coaching knowledge, (2) barriers to sport science support, and (3) coaches’ thoughts about knowledge transfer. Recommendations on strategies to close the gap between sport scientists and coaches are provided.

Sensitivity of Racing Tire Sliding Energy to Major Setup Changes: An Estimate Based on Standard Sensors

Understanding the amount of energy a tire is subjected to is one of the key elements to perform in motorsport competitions, especially in Formula 1 feeder categories, where the number of tires is limited over the race weekend to contain costs. This forces teams to use worn tires towards the end of the event. Therefore, tires are usually chosen only relying on their external shape or based on the kilometers traveled. Moreover, being aware of how a setup change impacts tires can be a breakthrough in tire management, especially in tracks where tire wear is limiting the overall performance. This paper provides a scientific method aimed at helping race engineers in tire management to maintain a high performance level through the entire race weekend.

ThamizhiMorph: A morphological parser for the Tamil language

This paper presents an open source and extendable Morphological Analyser cum Generator (MAG) for Tamil named ThamizhiMorph. Tamil is a low-resource language in terms of NLP processing tools and applications. In addition, most of the available tools are neither open nor extendable. A morphological analyser is a key resource for the storage and retrieval of morphophonological and morphosyntactic information, especially for morphologically rich languages, and is also useful for developing applications within Machine Translation. This paper describes how ThamizhiMorph is designed using a Finite-State Transducer (FST) and implemented using Foma. We discuss our design decisions based on the peculiarities of Tamil and its nominal and verbal paradigms. We specify a high-level meta-language to efficiently characterise the language’s inflectional morphology. We evaluate ThamizhiMorph using text from a Tamil textbook and the Tamil Universal Dependency treebank version 2.5. The evaluation and error analysis attest a very high performance level, with the identified errors being mostly due to out-of-vocabulary items, which are easily fixable. In order to foster further development, we have made our scripts, the FST models, lexicons, Meta-Morphological rules, lists of generated verbs and nouns, and test data sets freely available for others to use and extend upon.

Macaque monkeys learn and perform a non-match-to-goal task using an automated home cage training procedure

In neurophysiology, nonhuman primates represent an important model for studying the brain. Typically, monkeys are moved from their home cage to an experimental room daily, where they sit in a primate chair and interact with electronic devices. Refining this procedure would make the researchers’ work easier and improve the animals’ welfare. To address this issue, we used home-cage training to train two macaque monkeys in a non-match-to-goal task, where each trial required a switch from the choice made in the previous trial to obtain a reward. The monkeys were tested in two versions of the task, one in which they acted as the agent in every trial and one in which some trials were completed by a “ghost agent”. We evaluated their involvement in terms of their performance and their interaction with the apparatus. Both monkeys were able to maintain a constant involvement in the task with good, stable performance within sessions in both versions of the task. Our study confirms the feasibility of home-cage training and demonstrates that even with challenging tasks, monkeys can complete a large number of trials at a high performance level, which is a prerequisite for electrophysiological studies of monkey behavior.

COVID-19 as a Double-edged Sword: The Perfect Opportunity for GrabFood to Optimize Its Performance

This research underscores the critical role COVID-19 plays in potentially sharpening the resilience of GrabFood company to its greatest degree. As a temporary double-edged sword, it could optimize the performance and customer satisfaction of GrabFood in the long run. Our findings revolve around anecdotal evidence of issues that, if altered, could help its loyal customers and gain new ones in such a sensitive era. To address the challenges that restrict GrabFood from transforming into a more flexible online platform, an online survey was carried out with both GrabFood customers and employees. The study's findings indicated that GrabFood is gaining its popularity during the outbreak of the COVID-19 crisis. The post-pandemic arising obstacles will be further stressed, and solutions will be suggested based on secondary data collected from observations of other high-performance level companies like Foodpanda.

HIGH-PERFORMANCE LEVEL AND TECHNOLOGY MANAGEMENT AMONG WINERY FIRMS IN THE WINE INDUSTRY CLUSTER OF BAJA CALIFORNIA: A FSQCA APPROACH

ABSTRACT This paper analyzes how wineries in the wine industry cluster of Baja California in Mexico achieve a high-performance level and engage in technology management. The study uses the fuzzy-set qualitative comparative analysis approach to inquire into the necessary and sufficient conditions for firms in this industry cluster to attain a high-performance level. Our research hypothesis suggests that the presence of some resources (conditions) in the wine industry cluster of Baja California is a necessary and sufficient condition (set-theoretic relations) to achieve a high-performance level (outcome). Accordingly, this study examines the causal complexity observed in set-theoretic relations and high-performance levels in the wine industry cluster of Baja California. An important finding in this research is that winery firms in Baja California do not need to develop interdependent innovations to achieve a high-performance level. However, research and development efforts, good supplier relations, and production capacity are necessary conditions to achieve a high performance level in this cluster.

What Do We Know About Research on Parasport Coaches? A Scoping Review

The purpose of this scoping review was to provide a broad overview of the literature pertaining to parasport coaches, including information regarding the size and scope of research, the populations and perspectives obtained, and the type of methods used to conduct the research. Data were collected and analyzed using a six-stage framework for conducting scoping reviews. The results revealed that the majority of articles were based on interviews, and an overwhelming majority of the participants were men coaching at the high-performance level in North America. Three of the most frequent topics were becoming a parasport coach, being a parasport coach, and having general parasport coaching knowledge. Articles ranged in date from 1991 to 2018, with 70% of empirical articles published from 2014 onward, indicating an emerging interest in this field of research. This review has the potential to advance the science and practice of parasport coaching at all levels.

Augmented Aircraft Performance with the Use of Morphing Technology for a Turboprop Regional Aircraft Wing

This article presents some application of the morphing technology for aerodynamic performance improvement of turboprop regional aircraft. It summarizes the results obtained in the framework of the Clean Sky 2 AIRGREEN2 program for the development and application of dedicated morphing devices for take-off and landing, and their uses in off design conditions. The wing of the reference aircraft configuration considers Natural Laminar Flow (NLF) characteristics. A deformable leading edge morphing device (“droop nose”) and a multi-functional segmented flap system have been considered. For the droop nose, the use of the deformable compliant structure was considered, as it allows a “clean” leading edge when not used, which is mandatory to keep natural laminar flow (NLF) properties at cruise. The use of a segmented flap makes it possible to avoid external flap track fairings, which will lead to performance improvement at cruise. An integrated tracking mechanism is used to set the flap at its take-off optimum setting, and, then, morphing is applied in order to obtain a high-performance level for landing. Lastly, some performance improvements can be obtained in climb conditions by using the last segment of the flap system to modify the load distribution on the wing in order to recover some extended laminar flow on the wing upper surface.