Results 61 to 70 of about 35,691 (191)

Wearable Cooling Textiles of Thermal Conduction and Sweat Transfer for Personal Thermal Management

Advanced Science, EarlyView.
This study constructs a three‐dimensional thermal‐conductive pathway using biomass‐based fibers. The thermally conductive composite fibers were designed into Janus‐structured fabrics. The wearable cooling textile exhibits unidirectional moisture‐wicking properties (476% index), a high water evaporation rate (5209.92 g/m2/day), and effective skin ...
Jiajing Zhang, Jiahao Xu, Chunhua Zhang, Liangjun Xia, Xin Liu, Weilin Xu   +5 more
wiley   +1 more source

REKONSTRUKSI KEWENANGAN PENYIDIKAN BADAN NARKOTIKA NASIONAL BERDASARKAN UNDANG-UNDANG NOMOR 35 TAHUN 2009 TENTANG NARKOTIKA

Arena Hukum, 2016
Authority to conduct criminal investigations of narcotic regulated under Law No. 35 of 2009 on Narcotics, namely article 81 of the law. Dibeikan investigative authority to the national drug agencies and the police of the republic of Indonesia.
M. Sahid
doaj   +1 more source

Characterization of substantia nigra neurogenesis in homeostasis and dopaminergic degeneration: beneficial effects of the microneurotrophin BNN-20

Stem Cell Research & Therapy, 2021
Background Loss of dopaminergic neurons in the substantia nigra pars compacta (SNpc) underlines much of the pathology of Parkinson’s disease (PD), but the existence of an endogenous neurogenic system that could be targeted as a therapeutic strategy has ...
Theodora Mourtzi, Dimitrios Dimitrakopoulos, Dimitrios Kakogiannis, Charalampos Salodimitris, Konstantinos Botsakis, Danai Kassandra Meri, Maria Anesti, Aggeliki Dimopoulou, Ioannis Charalampopoulos, Achilleas Gravanis, Nikolaos Matsokis, Fevronia Angelatou, Ilias Kazanis   +12 more
doaj   +1 more source

Matrix approach to consistency of the additive efficient normalization of semivalues [PDF]

, 2007
In fact the Shapley value is the unique efficient semivalue. This motivated Ruiz et al. to do additive efficient normalization for semivalues. In this paper, by matrix approach we derive the relationship between the additive efficient normalization of ...
Driessen, T.S.H., Sun, H., Xu, G.
core   +2 more sources

C and S induces changes in the electronic and geometric structure of Pd(533) and Pd(320)

, 2006
We have performed ab initio electronic structure calculations of C and S adsorption on two vicinal surfaces of Pd with different terrace geometry and width.
Blaha P Schwarz K Madsen G K H Kvasnicka D Luitz J, Faisal Mehmood, Sergey Stolbov, Singh D, Talat S Rahman   +4 more
core   +1 more source

Kewenangan BNN dalam Pemberian Rehabilitasi Pada Pecandu Narkotika

Jurist-Diction, 2021
AbstractThis research entitled “BNN authority in giving rehabilitation to narcotic addicts”, This study employs doctrinal method by using statute approach and conseptual approach. The purpose of this research is to analyze research question in this study.
openaire   +3 more sources

INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold

2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Accepted at ICCV ...
Lee, Changhun, Kim, Hyungjun, Park, Eunhyeok, Kim, Jae-Joon   +3 more
openaire   +2 more sources

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Integrating Dropout and Kullback-Leibler Regularization in Bayesian Neural Networks for improved uncertainty estimation in Regression

MethodsX
The objective of the study is to enhance uncertainty prediction in regression problems by introducing a revolutionary Bayesian Neural Network (BNN) model.
Raghavendra M. Devadas, Vani Hiremani
doaj   +1 more source

Uncertainty Quantification for Machine Learning‐Based Ionosphere and Space Weather Forecasting: Ensemble, Bayesian Neural Network, and Quantile Gradient Boosting

Space Weather, 2023
Machine learning (ML) has been increasingly applied to space weather and ionosphere problems in recent years, with the goal of improving modeling and forecasting capabilities through a data‐driven modeling approach of nonlinear relationships.
Randa Natras, Benedikt Soja, Michael Schmidt   +2 more
doaj   +1 more source