DEVELOPMENT OF MOTION LEARNING MEDIA AND ENERGY CONSERVATION LAW THROUGH COASTER TRACKS BASED ON LOGGER PRO ANALYSIS

Development of Motion Learning Media and Energy Conservation Law Through Coaster Tracks Based on Logger Pro Analysis

Research has been conducted to find out relation position and speed to time, for objects that glide on a magnetic foundation by applying the Research and Development method.Data retrieval is done by using video train motion recordings which are analyzed using Logger Pro.The results of the analysis are represented in the form of data and graphics.Ba

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Clinical and electrodiagnostic findings in a cohort of 61 dogs with peripheral nervous system diseases - a retrospective study

The electrodiagnostic examination provides the basis iphone 14 price arizona for a diagnostic workup in diseases involving nerve roots, peripheral nerves, neuromuscular junctions and muscles in humans and animals.It is a functional test that enables identification, localization and characterization of the disease within the peripheral nervous syste

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Role of office hysteroscopy in the evaluation of infertile women after controlled ovarian stimulation/intra uterine insemination failure

Objective: To assess the role of office hysteroscopy (OH) in the evaluation of infertile women with normal ashy bines protein powder HSG who fail to conceive after undergoing controlled ovarian stimulation/intrauterine insemination (COS/IUI).Design: Prospective cohort study.Materials and methods: The study included 141 patients with absent pelvic p

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Impact of porcelain aorta on outcomes in transfemoral aortic valve implantation (TAVI) with balloon-expandable valves

Background Current guidelines recommend transcatheter aortic valve implantation (TAVI) for patients with aortic stenosis and porcelain aorta (PA).Neurological outcomes of patients with PA undergoing TAVI with modern valves require clarification as most trials examined balloon-expandable valves (BEV) and self-expandable valves in intermediate or hig

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Outdoor RGB and Point Cloud Depth Dataset for Palm Oil Fresh Fruit Bunch Ripeness Classification and Localization

Abstract A multi-modal dataset was developed for palm oil Fresh Fruit Bunch (FFB) assessment in natural plantation environments.Data collection occurred across four diverse locations in Johor, Malaysia, representing variations tonic shower cap in environmental conditions.The dataset includes 400 high-resolution RGB images captured with a 50 MP Sony

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