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http://dx.doi.org/10.1016/0079-6107(92)90010-4 | DOI Listing |
Neurol Res Pract
January 2025
Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Haus D7, Josef-Schneider-Straße 2, 97080, Würzburg, Germany.
Background: Comprehensive clinical data regarding factors influencing the individual disease course of patients with movement disorders treated with deep brain stimulation might help to better understand disease progression and to develop individualized treatment approaches.
Methods: The clinical core data set was developed by a multidisciplinary working group within the German transregional collaborative research network ReTune. The development followed standardized methodology comprising review of available evidence, a consensus process and performance of the first phase of the study.
BMC Surg
January 2025
Department of Obstetrics and Gynecology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine,Chinese Academy of Medical Sciences, Beijing, P.R. China.
Background: vNOTES has been documented as a viable approach for conducting benign gynecologic surgery; however, its application in ectopic pregnancy cases remains relatively scarce. The principal objective of this investigation was to assess the practicability, effectiveness, and safety of vNOTES in surgical procedures related to ectopic pregnancy.
Methods: Clinical data pertaining to patients diagnosed with ectopic pregnancy at Beijing Hospital between January 2018 and August 2023 were retrospectively collected (This study retrospectively registered with the China Clinical Trial Registry with the registration number ChiCTR2100052223 in September 22, 2021.
Nat Commun
January 2025
Department of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Analog In-memory Computing (IMC) has demonstrated energy-efficient and low latency implementation of convolution and fully-connected layers in deep neural networks (DNN) by using physics for computing in parallel resistive memory arrays. However, recurrent neural networks (RNN) that are widely used for speech-recognition and natural language processing have tasted limited success with this approach. This can be attributed to the significant time and energy penalties incurred in implementing nonlinear activation functions that are abundant in such models.
View Article and Find Full Text PDFSci Rep
January 2025
LCEA Laboratory, Faculty of Sciences, Mohammed Premier University, Oujda, Morocco.
In the current investigation, the efficiency inhibition of two newly synthesized bi-pyrazole derivatives, namely 2,3-bis[(bis((1 H-pyrazol-1-yl) methyl) amino)] pyridine (Tetra-Pz-Ortho) and 1,4-bis[(bis((1 H-pyrazol-1-yl) methyl) amino)] benzene (Tetra-Pz-Para) for corrosion of carbon steel (C&S) in 1 M HCl medium was evaluated. A Comparative study of inhibitor effect of Tetra-Pz-Ortho and Tetra-Pz-Para was conducted first using weight loss method and EIS (Electrochemical Impedance Spectroscopy) and PDP (Potentiodynamic Polarisation) techniques. Tetra-Pz-Ortho and Tetra-Pz-Para had a maximum inhibition efficacy of 97.
View Article and Find Full Text PDFOncogenesis
January 2025
Department of Hematology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Diffuse large B-cell lymphoma (DLBCL) is characterized by its aggressive nature and resistance to standard chemotherapy, necessitating the development of new therapeutic approaches. The emergence of natural products and their derivatives has notably influenced cancer treatment, making morusinol, a medicine-derived monomer, a promising candidate. Here, we showed that morusinol exerted antitumor effects on DLBCL in vitro by inducing apoptosis and cell cycle arrest.
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