The grip position (GP) in golf substantially affects performance outcomes such as shot accuracy and hitting distance. However, it is unknown which specific GP (i.e., strong, neutral, weak) produces the desired shot outcomes. The current study investigated the impact of five systematically manipulated GPs using 15° increments between -30° (strong) and +30° (weak) on driving accuracy and distance. Data were collected using a Trackman™ doppler radar-based system for 28 amateur recreational golfers with a driver clubhead-speed range between 120 km/h and 153 km/h ( = 138.93 km/h, = 14.41) and a handicap range between -3 and -36 ( = -15.0, = 8.0). The results showed that GP significantly affected six dependent variables on accuracy (sideways deviation (left and right), accuracy absolute, clubface angle, club path angle, face to path angle, launch direction) and two outcomes on distance (clubhead speed and driving distance total). Overall, the optimal performance on driving accuracy and distance was found for the neutral and stronger GPs. Weaker GPs revealed significantly more adverse accuracy and distance effects. These results suggest asymmetric outcome effects of symmetrical GP manipulation. They also have practical implications for coaches and golfers intending to improve driving accuracy while maximizing driving distance.
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http://dx.doi.org/10.1080/02640414.2020.1865612 | DOI Listing |
Bioinform Adv
November 2024
Institute of Biochemistry and Molecular Medicine, University of Bern, Bern 3012, Switzerland.
Summary: Protein structure prediction aims to infer a protein's three-dimensional (3D) structure from its amino acid sequence. Protein structure is pivotal for elucidating protein functions, interactions, and driving biotechnological innovation. The deep learning model AlphaFold2, has revolutionized this field by leveraging phylogenetic information from multiple sequence alignments (MSAs) to achieve remarkable accuracy in protein structure prediction.
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January 2025
Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114, USA.
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View Article and Find Full Text PDFMethodsX
June 2025
Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Nigdi, Pune 411044, India.
Recent advancements in artificial intelligence (AI) have increased interest in intelligent transportation systems, particularly autonomous vehicles. Safe navigation in traffic-heavy environments requires accurate road scene segmentation, yet traditional computer vision methods struggle with complex scenarios. This study emphasizes the role of deep learning in improving semantic segmentation using datasets like the Indian Driving Dataset (IDD), which presents unique challenges in chaotic road conditions.
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September 2022
Division of Plastic Surgery, Orthopaedics, Rehabilitation, and Humanities, Department of Surgery, Penn State Health Milton S. Hershey Medical Center, 500 University Drive, Hershey, PA 17033, USA.
Objective: To systematically review the published literature describing remote alternative educational modalities for plastic surgery residents.
Design: Systematic review.
Setting: Independent investigators performed searches in the PubMed and Cochrane Library databases using a variety of MeSH terms and search term combinations.
Front Comput Neurosci
January 2025
Interdisciplinary Research Center for Finance and Digital Economy, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.
Marketing plays a vital role in the success of a business, driving customer engagement, brand recognition, and revenue growth. Neuromarketing adds depth to this by employing insights into consumer behavior through brain activity and emotional responses to create more effective marketing strategies. Electroencephalogram (EEG) has typically been utilized by researchers for neuromarketing, whereas Eye Tracking (ET) has remained unexplored.
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