A FAST INFERENCE VISION TRANSFORMER FOR AUTOMATIC PAVEMENT IMAGE CLASSIFICATION AND ITS VISUAL INTERPRETATION METHOD

A Fast Inference Vision Transformer for Automatic Pavement Image Classification and Its Visual Interpretation Method

Traditional automatic pavement distress detection methods using convolutional neural networks (CNNs) require a great deal of time and resources for computing and are poor in terms of interpretability.Therefore, inspired by the successful application of Transformer architecture in natural language processing (NLP) tasks, a novel Transformer method c

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Fatal Tuberculosis in a Free-Ranging African Elephant and One Health Implications of Human Pathogens in Wildlife

Tuberculosis (TB) in humans is a global public health concern and the discovery of animal cases of Mycobacterium tuberculosis (Mtb) infection and disease, especially in multi-host settings, also has significant implications for public health, veterinary disease control, and conservation endeavors.This paper describes a fatal case of Mtb disease in

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Assessing Fifty Years of General Health Surveillance of Roe Deer in Switzerland: A Retrospective Analysis of Necropsy Reports.

General wildlife health surveillance is a valuable source of information on the causes of mortality, disease susceptibility and pathology of the investigated hosts and it is considered to be an essential component of early warning systems.However, the representativeness of data from such surveillance programs is known to be limited by numerous bias

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Relationship between plasma xanthine oxidoreductase activity and left ventricular ejection fraction and hypertrophy among cardiac patients.

Background and purposeXanthine oxidoreductase (XOR), which catalyzes purine catabolism, has two interconvertible forms, xanthine dehydrogenase and xanthine oxidase, the latter of which produces superoxide during uric acid (UA) caruso rhodiola synthesis.An association between plasma XOR activity and cardiovascular and renal outcomes has been previou

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Subjective and objective quality assessment of gastrointestinal endoscopy images: From manual operation to artificial intelligence

Gastrointestinal endoscopy has been identified as an important tool for cancer diagnosis and therapy, particularly for treating patients with early gastric cancer (EGC).It is well known that the quality of gastroscope images is a prerequisite for achieving a high detection rate of gastrointestinal lesions.Owing to manual operation of gastroscope de

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