Results 81 to 90 of about 9,816 (301)

Time Resolved DNA Barcodes for Information Encoding and Dynamic Encryption

Advanced Science, EarlyView.
This study establishes a molecular information platform based on DNA Temporal Barcodes. Information is encoded through combinations of DNA tags with distinct retention times, while dynamic encryption is achieved through a key‐triggered DNA ligation.
Likang Chu, Haixia Wang, Haiyan Gao, Sixian Chen, Zilong Li, Zhanyihao Hao, Lei He, Da Han   +7 more
wiley   +1 more source

Reasonable Congruence between Charges Pressed and those Proved at Trial in Criminal Procedure Matters in Colombia According to the Adversarial System Characteristics

Via Inveniendi Et Iudicandi
The congruence principle in criminal proceedings is the factual and legal correlation between the conviction and the charge. In terms of the current Colombian Code of Criminal Procedure, this correlation must occur between the counts contained in the ...
Alfonso Daza González, Santiago Andrés Daza Lora, Julio Ballesteros Sánchez   +2 more
doaj   +1 more source

SPECIFICS OF THE ADVERSARIAL PRINCIPLE IN THE RUSSIAN CRIMINAL PROCEEDINGS

, 2020
В данной статье поднимаются вопросы о границах судейской активности, роли суда в доказывании и реализации принципа состязательности в досудебных и судебных стадиях российского уголовного процесса; представлены результаты анализа судебных решений ...
Александрова Анастасия Григорьевна
core  

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Substantial Truth and the Impossibility of Conviction after Manifestation of the Public Prosecutor's Office for Acquittal

Revista Brasileira de Direito Processual Penal, 2017
This paper defends the thesis that the criminal conviction of an accused after a plea of acquittal by the Public Prosecutor's Office in final arguments offends not only the accusatory principle, but also the right to an adversarial process.
Rafael de Deus Garcia
doaj   +1 more source

FEATURES OF THE NATURE OF THE ADVERSARIAL PRINCIPLE IN THE RUSSIAN JUSTICE

Juridical Journal of Samara University, 2019
The article discusses various approaches to the disclosure of the content of the concept of competition. It is concluded that the traditional Russian and, above all, Soviet understanding of the principle of competition differs from the classical Roman principle of competition.
openaire   +2 more sources

The significance of the adversarial principle in the pre-trial investigation.

, 2011
THE SIGNIFICANCE OF THE ADVERSARIAL PRINCIPLE IN PRIE-TRIAL UNVESTIGATION The keywords: criminal procedure, adversarial principle, pre-trial investigation, procedural equality of parties, separation of functions in criminal procedure.
Andriuškaitė, Renata,
core  

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

Advanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali, Lachlan Caulfield, Eric Sauter, Alexei Nefedov, Chengwu Yang, Christof Wöll   +5 more
wiley   +1 more source

Adversarial Detection by Approximation of Ensemble Boundary

, 2022
A spectral approximation of a Boolean function is proposed for approximating the decision boundary of an ensemble of Deep Neural Networks (DNNs) solving two-class pattern recognition problems.
terry windeatt (14240189)
core   +1 more source