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Christopher G. Waderklich verstehen, warum uns unser Körper diese Symptome sendet, geschweige denn erklären, woher sie kommen, können wir häufig nicht. Und während wir uns blind jedem Navigationssystem anvertrauen (und nicht selten irregeführt werden), stehen wir diesen Signalen unseres eigenen Körpers häufig misstrau有法律效应 发表于 2025-3-27 12:01:56
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Quality of Dying,ce for cancer patients. A gap exists between service needs from the users’ perspective and service provisions. A hospital survey showed that patients with end-stage chronic diseases have high prevalence of symptoms similar to those dying of cancer. A continuous quality improvement initiative carrieFlatter 发表于 2025-3-27 18:41:31
CNN-LSTM Enabled Prediction of Remaining Useful Life of Cutting Tool,ately and efficiently. Deep learning algorithm-driven approaches have been actively explored in the research field though there are still potential areas to further enhance the performance of the approaches. In this research, to improve accuracy and expedite computational efficiency for predicting tvertebrate 发表于 2025-3-28 00:58:27
Unsupervised Image Segmentation Using THMRF Model,ld processing and the Expectation- Method of moments and Maximization algorithm. The algorithm was validated on synthetic and real images. The basic merit of our proposed method of segmentation lies in its ability to quantify the complex structure as brain tumor.arousal 发表于 2025-3-28 05:16:26
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A Practical Guide to Metabolic and Molecular Imaging in Atypical Parkinsonism atypical parkinsonian syndromes. Modern metabolic and molecular imaging techniques such as positron emission tomography (PET) and single-photon emission computed tomography (SPECT) allow for the assessment of metabolic activity, neurotransmitter dysfunction, or protein deposition in vivo. This chapCougar 发表于 2025-3-28 10:44:12
ful substances. This book employs computer-assistedAssociative Group Analysis technology of comparative imaging andcognitive mapping to identify these factors and offers newperspectives for more comprehensive risk assessments and effectiveprevention.978-1-4757-8260-8978-0-306-47158-2