Ultrahigh High‐temperature Capacitive Energy Storage Via Proton Irradiation
Proton irradiation concurrently induces enhanced dielectric constant and breakdown field in aromatic polymers with ether bonds, which enables an ultrahigh discharged energy density of 6.9 J cm−3 at above the efficiency of 95% at 150 °C, exceeding current dielectric polymers and nanocomposites.
Chenyi Li +11 more
wiley +1 more source
Guideline for handling pesticide residues in Czech organic production [PDF]
This document was prepared in the project «Development of guidelines for the use of pesticide analysis in organic inspection in the Czech Republic (sampling, evaluation and interpretation)». At the beginning of this project, a workshop with stakeholders
Bickel, Regula +3 more
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Bayesian Neural Network Prediction and Uncertainty Analysis of Bio‐Cemented Soil Strength
ABSTRACT Microbially induced carbonate precipitation (MICP) has emerged as a promising ground improvement technique, with MICP‐treated soils exhibiting substantial enhancements in strength. However, experimental results revealed significant variability in strength outcomes of MICP‐treated soils, even under identical treatment conditions and soil ...
Aoxi Zhang +4 more
wiley +1 more source
KERJASAMA BADAN NARKOTIKA NASIONAL DENGAN NCB –INTERPOL DALAM MEMERANGI PERDAGANGAN NARKOBA DI INDONESIA [PDF]
Sampai saat ini Indonesia masih berada dalam status darurat narkoba. Semakin berkembang dan besarnya bisnis narkoba menjadi salah satu perhatian bagi pemerintah.
Windianti Sumardi Putri, 142030096
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Bayesian Inference via GeTex‐OTS Based Stochastic Synapse for Uncertainty‐Aware Medical Diagnostics
This work reports a GeTex ovonic threshold switch integrated into a compact 1S1T1R stochastic synapse that directly realizes an MC‐Dropconnect Bayesian neural network. Tunable probabilistic switching enables uncertainty‐aware COVID‐19 diagnosis and MNIST recognition while remaining compatible with conventional 1T1R CIM architectures, highlighting a ...
Xinyu Wen +9 more
wiley +1 more source
Innate Orientating Behavior of a Multi-Legged Robot Driven by the Neural Circuits of C. elegans
The objective of this research is to achieve biologically autonomous control by utilizing a whole-brain network model, drawing inspiration from biological neural networks to enhance the development of bionic intelligence.
Kangxin Hu +7 more
doaj +1 more source
How Classmates Experience Visiting Their Hospitalised Peer During Cancer Treatment: A RESPECT Study
ABSTRACT Aim To explore how classmate ‘ambassadors’ experienced and engaged in social interaction while visiting a hospitalised peer undergoing cancer treatment. Design A phenomenological‐hermeneutic inspired exploratory study. Methods Using on‐the‐go semi‐structured interviews and participant observations from January to December 2023 in Denmark, we ...
Natasha Nybro Boensvang +4 more
wiley +1 more source
Explaining Probabilistic Bayesian Neural Networks for Cybersecurity Intrusion Detection
The probabilistic Bayesian neural network(BNN) is good at providing trustworthy outcomes that is important, e.g. in intrusion detection. Due to the complex of probabilistic BNN, it is looks like a “black box”.
Tengfei Yang, Yuansong Qiao, Brian Lee
doaj +1 more source
Un método gráfico para la regionalización agroecológica de recursos naturales
In order to acquire a practical methodology ot great use for the BNN computation and its involved dynamics, that contains a large potentiality in the use of decisions for the continuity and optimization of natural resources as well as for the acquisition
Walter Ritter Ortiz +2 more
doaj +1 more source
VIME: Variational Information Maximizing Exploration
Scalable and effective exploration remains a key challenge in reinforcement learning (RL). While there are methods with optimality guarantees in the setting of discrete state and action spaces, these methods cannot be applied in high-dimensional deep RL ...
Abbeel, Pieter +5 more
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