Results 141 to 150 of about 38,232 (251)
THE PRESENCE OF HISTAMINE, 5‐HYDROXYTRYPTAMINE AND A POTENT, SLOW CONTRACTING SUBSTANCE IN WASP VENOM [PDF]
, 1954 R. Jaques, M Schachter
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Advanced Intelligent Systems, EarlyView.Random telegraph noise (RTN) characteristics of memristor depend on external environmental conditions. To avoid these bias‐dependent characteristics, a true random number generator circuit using the RTN current fluctuations of memristor is presented with an edge detection circuit and counter, and bias independence is experimentally demonstrated for ...
Jinwoo Park, Hyunjoong Kim, Hyungjin Kim
wiley +1 more source
The action of bee venom, cobra venom and lysolecithin on the adrenal medulla [PDF]
, 1940 W. Feldberg
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Medical Image Hybrid Watermark Algorithm Based on Frequency Domain Processing and Inception v3
Advanced Intelligent Systems, EarlyView.Frequency domain processing and Inceptionv3 method is used in this article for digital image watermarking of medical images. The algorithm extracts feature vectors from medical images using discrete wavelet transform and discrete cosine transform, enhancing the robustness of the image watermark With the widespread use of digital medical images in ...
Yu Fan +4 more
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CHEMICAL AND PHARMACOLOGICAL PROPERTIES OF THE POTENT, SLOW CONTRACTING SUBSTANCE (KININ) IN WASP VENOM [PDF]
, 1954 M Schachter, E. M. Thain
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Advanced Intelligent Systems, EarlyView.A novel in situ XOR encryption/decryption method using a nanoelectromechanical physically unclonable function (NEM‐PUF) is introduced, enhancing security in data transfers between servers/clouds and edge devices. Integrated with the CMOS BEOL process, NEM‐PUFs utilize random stiction for entropy, enabling efficient bitwise XOR operations. This approach
Changha Kim +6 more
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Researches upon the venoms of poisonous serpents / by S. Weir Mitchell and Edward T. Reichert.
, 1886 S. Weir Mitchell, Edward Tyson Reichert
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Fairness in Federated Learning: Trends, Challenges, and Opportunities
Advanced Intelligent Systems, EarlyView.This survey delves into the intricate issues pertinent to fairness in federated learning , where various biasing factors can skew model performance. By systematically analyzing fairness‐aware strategies, evaluation metrics, and future directions, this work identifies pivotal research gaps in existing approaches and sheds light on both challenges and ...
Noorain Mukhtiar +2 more
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