Results 111 to 120 of about 651,863 (292)

Cohort‐Scale Spatial Autocorrelation for Tumor Prediction in Mid‐Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics

open access: yesAdvanced Science, EarlyView.
Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel   +12 more
wiley   +1 more source

Investigating the tension between cloud-related actors and individual privacy rights [PDF]

open access: yes, 2019
Historically, little more than lip service has been paid to the rights of individuals to act to preserve their own privacy. Personal information is frequently exploited for commercial gain, often without the person’s knowledge or permission.
Duncan, Bob   +2 more
core  

Data‐Driven Feedback Identifies Focused Ultrasound Exposure Regimens for Improved Nanotheranostic Targeting of the Brain

open access: yesAdvanced Science, EarlyView.
Machine learning models predict in real time the onset of harmful microbubble collapse during microbubble‐enhanced focused ultrasound (MB‐FUS) and enable dynamic adjustment of sonication to prevent cavitation‐induced damage. This predictive control expands the safe operating window for bloodbrain barrier opening, enhancing nanoparticle delivery and ...
Hohyun Lee   +17 more
wiley   +1 more source

The Forgotten Right To Be Secure

open access: yesSSRN Electronic Journal, 2013
Surveillance methods in the United States operate under the general principle that “use precedes regulation.” While the general principle of “use precedes regulation” is widely understood, its societal costs have yet to be realized. In the period between “initial use” and “regulation,” government actors can utilize harmful investigative techniques with
openaire   +2 more sources

The Right to Be Zero-Knowledge Forgotten [PDF]

open access: yes
The main goal of the EU GDPR is to protect personal data of individuals within the EU. This is expressed in several rights and, among them, in this work we focus on the Right to Erasure, more commonly known as the Right to Be Forgotten (RtBF).
Visconti I.
core   +1 more source

CACLENS: A Multitask Deep Learning System for Enzyme Discovery

open access: yesAdvanced Science, EarlyView.
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi   +5 more
wiley   +1 more source

El derecho al olvido en el tiempo de Internet: la experiencia española [PDF]

open access: yes, 2014
The right to be forgotten – as an individual right to require personal data erasure on mass media – is particularly problematic on the Internet by digitizing newspaper historical archives and their indexing by search engines on the Internet.
Rallo Lombarte, Artemi
core   +1 more source

Utilizing Cooperative Proton–Electron Mixed Conduction Induced via Chemical Dedoping of Self‐Doped Poly(3,4‐ethylenedioxythiophene) Nanofilms for In‐Material Physical Reservoirs

open access: yesAdvanced Science, EarlyView.
This study demonstrates a new concept for high‐performance in‐material physical reservoirs (PRs). An intrinsic and cooperative ion–electron state, induced by chemical dedoping in self‐doped poly(3,4‐ethylenedioxythiophene) (S‐PEDOT) nanofilms, enhances the performance of in‐material PRs.
Yuya Ishizaki‐Betchaku   +10 more
wiley   +1 more source

The Internet and Jobs: A giant opportunity for Europe. CEPS Policy Insights No 2017/38, 1 November 2017 [PDF]

open access: yes, 2017
For most of the past decade, Mr. Echikson has specialized in providing communications and policy support to technology companies and public authorities on Internet policy issues in Europe.
William Echikson, William Echikson
core  

SAGE: Spatially Aware Gene Selection and Dual‐View Embedding Fusion for Domain Identification in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
SAGE is a unified framework for spatial domain identification in spatial transcriptomics that jointly models tissue architecture and gene programs. Topic‐driven gene selection (NMF plus classifier‐based scoring) highlights spatially informative genes, while dual‐view graph embedding fuses local expression and non‐local functional relations.
Yi He   +5 more
wiley   +1 more source

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