Results 71 to 80 of about 15,386,676 (302)

Superionic Disulfonic Acid Polymers

open access: yesAdvanced Functional Materials, EarlyView.
A strategy is presented to enhance the mechanical and ion transport properties of acid‐functionalized polymers through controlled polymerizations of precisely designed disulfonic acid monomers with well‐defined functional group arrangements. This approach allows for fine control over molecular interactions, and unexpected hydrophobic characteristics ...
Xuelang Gao   +5 more
wiley   +1 more source

Public Awareness and Telephone Contact with the Mid-Plains Poison Control Center [PDF]

open access: yes, 1987
The Center for Applied Urban Research (CAUR) conducted an evaluation of public awareness of poison control services available to Nebraskans by the MidPlains Poison Control Center (MPCC) in November and December 1986.
(CPAR), Center for Public Affairs Research
core   +1 more source

Postmortem Distribution of Cathinone and Cathine in Human Biological Specimens in a Case of Death Associated with Khat Chewing

open access: yesArab Journal of Forensic Sciences & Forensic Medicine, 2018
Chewing khat leaves has been associated with several adverse health effects, and there are very few case reports of cardiotoxicity, stroke and death resulting from this.
Ibraheem M. Attafi   +5 more
doaj   +1 more source

Determination of flumazenil in serum by liquid chromatography-mass spectrometry: Application to kinetics study in acute diazepam overdose [PDF]

open access: yesVojnosanitetski Pregled, 2016
Backgound/Aim. Flumazenil is benzodiazepine receptor antagonist. It has been studied for a various indications, including reversal of sedation after surgery or diagnostic procedures, awakening of comatose patients in benzodiazepine overdose, or ...
Đorđević Snežana   +4 more
doaj   +1 more source

Property Inference From Poisoning [PDF]

open access: yesarXiv, 2021
Property inference attacks consider an adversary who has access to the trained model and tries to extract some global statistics of the training data. In this work, we study property inference in scenarios where the adversary can maliciously control part of the training data (poisoning data) with the goal of increasing the leakage.
arxiv  

Transmembrane Activation of Catalysis and Protein Refolding in Synthetic Cells by Enzymes and Nanozymes

open access: yesAdvanced Functional Materials, EarlyView.
Synthetic cells are engineered herein to respond to an external chemical messenger by the activation of intracellular catalysis. The chemical messenger molecules are catalytically generated by an extracellular enzyme or a mineral surface, whereas the intracellular catalysis emerges via direct enzyme activation or via protein refolding.
Dante G. Andersen   +5 more
wiley   +1 more source

Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks [PDF]

open access: yesarXiv, 2023
Adversarial training (AT) is a robust learning algorithm that can defend against adversarial attacks in the inference phase and mitigate the side effects of corrupted data in the training phase. As such, it has become an indispensable component of many artificial intelligence (AI) systems.
arxiv  

“Therapies Through Gut:” Targeted Drug Delivery for Non‐Gastrointestinal Diseases by Oral Administration

open access: yesAdvanced Healthcare Materials, EarlyView.
Schematic illustration of the mechanism of targeted delivery of nanoparticles including 1) paracellular, 2) endolysosomal escape, 3) receptor mediated endocytosis, and 4) M cell mediated transport for non‐GI diseases by oral administration such as atherosclerosis, cancer, diabetes, and brain diseases. Abstract Oral drug delivery is a promising approach
Subarna Ray   +2 more
wiley   +1 more source

Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks [PDF]

open access: yesarXiv, 2018
Data poisoning is an attack on machine learning models wherein the attacker adds examples to the training set to manipulate the behavior of the model at test time. This paper explores poisoning attacks on neural nets. The proposed attacks use "clean-labels"; they don't require the attacker to have any control over the labeling of training data.
arxiv  

Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching [PDF]

open access: yesarXiv, 2020
Data Poisoning attacks modify training data to maliciously control a model trained on such data. In this work, we focus on targeted poisoning attacks which cause a reclassification of an unmodified test image and as such breach model integrity. We consider a particularly malicious poisoning attack that is both "from scratch" and "clean label", meaning ...
arxiv  

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