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source code

Liu, Zuhan · Zenodo (CERN European Organization for Nuclear Research) · 2025

Cited by 0Open access

Abstract This chapter considers the legal nature of non-legislative codified instruments, focusing particularly on the status (in US courts) of the so-called black-letter content of the American Law Institute’s Restatements. The chapter shows that Restatement provisions are sometimes treated or adopted as legal authority, binding not only on the parties to a dispute but on parties in future cases concerning materially identical facts. The chapter concludes with a section which critically addresses the thesis—endorsed by a broad range of legal theorists and comparative lawyers—that since legal authority is a matter of degree, the primary-secondary source distinction ought to be rejected.

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Source Code

Sarafraz, Ideh, Agahi, Hamed, Mahmoodzadeh, Azar · Figshare · 2024

CNN is considered an efficient tool in brain image segmentation. However, neonatal brain images require specific methods due to their nature and structural differences from adult brain images. Hence, it is necessary to determine the optimal structure and parameters for these models to achieve the desired results. In this article, an adaptive method for CNN automatic configuration for neonatal brain image segmentation is presented based on the encoder-decoder structure, in which the hyperparameters of this network, i.e., size, length, and width of the filter in each layer along with the type of pooling functions with a reinforcement learning approach and an LA model are determined. These LA models determine the optimal configuration for the CNN model by using DICE and ASD segmentation quality evaluation criteria, so that the segmentation quality can be maximized based on the goal criteria. The effectiveness of the proposed method has been evaluated using a database of infant MRI images and the results have been compared with previous methods. The results show that by using the proposed method, it is possible to segment NBI with higher quality and accuracy.

Cited by 0Open access

Source Code

Antonio Gentile · Open MIND · 2020

Source code referred to in the online GIST available at the link below, dedicated to Competency Management.

Cited by 0Open access

Source code

Choi, Yohan · Figshare · 2022

By single-cell RNA sequencing (scRNA-seq) using human follicular aspirates obtained from four IVF patients, cell subpopulations were determined and leukocyte-derived paracrine factors were identified.

Cited by 0Open access