Results 111 to 120 of about 3,188,697 (327)

Thiol‐Modulation‐Induced Mesoporous Nanosheets with an Alloy/Intermetallic Heterophase for Efficient Electrochemical Ethylene Glycol‐Assisted Water Splitting

open access: yesAdvanced Functional Materials, EarlyView.
Sulfur‐capped mesoporous PtPbBi nanosheets (S‐PtPbBi MNSs) with an alloy/intermetallic compound heterophase and inhomogeneous tensile strain (≈3%) were synthesized by a thiol modification strategy, which exhibited excellent electrocatalytic performance for ethylene glycol oxidation reaction (EGOR).
Fukai Feng   +14 more
wiley   +1 more source

Federated Learning on Clinical Benchmark Data: Performance Assessment

open access: yesJournal of Medical Internet Research, 2020
BackgroundFederated learning (FL) is a newly proposed machine-learning method that uses a decentralized dataset. Since data transfer is not necessary for the learning process in FL, there is a significant advantage in protecting personal privacy ...
Lee, Geun Hyeong, Shin, Soo-Yong
doaj   +1 more source

RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification

open access: yes, 2019
Efficient and precise classification of histological cell nuclei is of utmost importance due to its potential applications in the field of medical image analysis.
Babu, Kancharagunta Kishan   +5 more
core   +1 more source

MOESM2 of The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

open access: yes, 2020
Additional file 2 Use case B1 — Balanced dataset. (a) Barplot representing accuracy, F1 score, and normalized Matthews correlation coefficient (normMCC = (MCC + 1) / 2), all in the [0, 1] interval, where 0 is the worst possible score and 1 is the best possible score, applied to the Use case B1 balanced dataset.
Chicco, Davide, Jurman, Giuseppe
openaire   +1 more source

Morphometric‐Assisted Prediction of Developmental Toxicity Using Stem Cell‐Based Embryo Models in Microwells

open access: yesAdvanced Healthcare Materials, EarlyView.
This proof‐of‐concept study involves high‐throughput teratogenicity screening of compounds using XEn/EpiCs, a 3D stem cell‐based embryo model, within microwells. The term ‘morphotoxicity’ is introduced to complement traditional cytotoxicity assays through automated feature extraction and machine‐learning‐assisted classification of morphologies.
Vinidhra Shankar   +4 more
wiley   +1 more source

Path-BigBird: An AI-Driven Transformer Approach to Classification of Cancer Pathology Reports [PDF]

open access: yes
PURPOSE: Surgical pathology reports are critical for cancer diagnosis and management. To accurately extract information about tumor characteristics from pathology reports in near real time, we explore the impact of using domain-specific transformer ...
Chandrashekar, Mayanka   +5 more
core   +2 more sources

MOESM4 of The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

open access: yes, 2020
Additional file 4 Use case C1 — Negatively imbalanced dataset. (a) Barplot representing accuracy, F1 score, and normalized Matthews correlation coefficient (normMCC = (MCC + 1) / 2), all in the [0, 1] interval, where 0 is the worst possible score and 1 is the best possible score, applied to the Use case C1 negatively imbalanced dataset. (b) Pie chart
Chicco, Davide, Jurman, Giuseppe
openaire   +1 more source

Position-aware Attention and Supervised Data Improve Slot Filling

open access: yesConference on Empirical Methods in Natural Language Processing, 2017
Organized relational knowledge in the form of “knowledge graphs” is important for many applications. However, the ability to populate knowledge bases with facts automatically extracted from documents has improved frustratingly slowly.
Yuhao Zhang   +4 more
semanticscholar   +1 more source

Pushing Radiative Cooling Technology to Real Applications

open access: yesAdvanced Materials, EarlyView.
Radiative cooling controls surface optical properties for solar and thermal radiation, offering solutions for global warming and energy savings. Despite significant advances, key challenges remain: optimizing optical efficiency, maintaining aesthetics, preventing overcooling, enhancing durability, and enabling scalable production.
Chongjia Lin   +8 more
wiley   +1 more source

Analisis Sentimen: Pengaruh Jam Kerja Terhadap Kesehatan Mental Generasi Z

open access: yesJournal of Applied Computer Science and Technology
Mental health is a significant concern in society today, particularly for Generation Z, who are vulnerable to experiencing mental health problems that can disrupt daily productivity. The influence of working hours also contributes to the mental health of
Muhammad Daffa Al Fahreza   +3 more
doaj   +1 more source

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