Results 121 to 130 of about 88,482 (262)

The A(I) Team: Effects of Human‐Likeness and Conformity to Gender Stereotypes on Initial Trust and Willingness to Work With an AI Teammate

Journal of Organizational Behavior, EarlyView.
ABSTRACT As artificial intelligence (AI) technologies progress, AI agents arise as potential teammates in the workplace. This study explores how the visual representation of the AI agent as well as its conformity to traditional gender stereotypes affects the manifestation of uncanny valley effects in a workplace team context.
Agata Mirowska, Jbid Arsenyan
wiley   +1 more source

Biopython, Numeric and numpy

, 2008
To date, Biopython releases have relied on the original numerical python library, <strong> Numeric </strong> (used in python with "import Numeric").&nbsp; In the next release we will at last be moving to its successor, <strong> NumPy </strong> (used in python with "import numpy").
openaire   +2 more sources

Comparing Self‐Reported and Physician‐Assessed Acne Severity Using Real‐World Data

JEADV Clinical Practice, EarlyView.
ABSTRACT Background Real‐world data (RWD) offers access to vast amounts of health information; however, limited knowledge exists regarding its reliability in clinical and research practices. Objectives To analyse the agreement between self‐assessed severity of self‐reported acne vulgaris (AV), and physician‐assessed severity based on photographic ...
Ali Al‐Mousawi, Somaia Naassan, Misbah Noshela Ghazanfar, Sarah‐Louise Leth Kirsten, Benóný Þór Björnsson, Christian Riemer, Simon Francis Thomsen, Zarqa Ali   +7 more
wiley   +1 more source

Improved surgical accuracy in total knee arthroplasty using the ROSA® knee system: A randomised‐controlled unblinded trial

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Robotic‐assisted total knee arthroplasty (RATKA) has been connected to improved surgical precision and implant alignment compared to conventional TKA (CTKA), with limited evidence from randomised‐controlled trials (RCT) and a large range of different systems on the market. Consequently, this study aimed to compare RATKA using the ROSA®
Alexander Möller, Feras Kasabji, Maximilian Fischer, Janosch Schoon, André Hofer, Georgi Iwan Wassilew, Johannes Christian Reichert   +6 more
wiley   +1 more source

Precision Restoration to Minimize Soil Loss in a Watershed in the Atlantic Forest Domain

Land Degradation &Development, EarlyView.
ABSTRACT The Turvo River Watershed, located in the Zona da Mata region of Minas Gerais and part of the Doce River Basin, faces serious problems of erosion and soil degradation, which compromise and reduce the quality of local water resources. Given this scenario, it is essential to implement environmental recovery strategies that prioritize the ...
Rodrigo Nobre Santana, Luíza Maria Affonso Lopes da Silva, Sady Júnior Martins da Costa Menezes, Getúlio Fonseca Domingues, Carlos Antônio Alvares Soares Ribeiro, Plinio Antonio Guerra Filho, Alexandre Rosa dos Santos   +6 more
wiley   +1 more source

The state of NumPy

, 2014
The release of NumPy 1.9 a few days ago was a bit of a revelation for me. For the first time in the combined history of NumPy and its predecessor Numeric, a new release broke my own code so severely thatI don&#39;t see any obvious way to fix it, given the limited means I can dedicate to software maintenance.
openaire   +1 more source

Uncovering Key Characteristics of Antibacterial Peptides through Machine Learning

Macromolecular Rapid Communications, EarlyView.
Machine‐learning (ML) techniques using random forest classification models revealed key characteristics that predict effective antimicrobial peptides (AMPs) targeting Gram‐negative bacteria, Gram‐positive bacteria, and mycobacteria. The ideal cLogP (<$ < $−6) and net‐charge (≤+4) threshold was the same for all three targets with variations in the ...
Jooyoung Roh, Cyrille Boyer, Priyank V. Kumar   +2 more
wiley   +1 more source

Active Learning for the Discovery of Antiviral Polymers

Macromolecular Rapid Communications, EarlyView.
Machine learning and active learning are integrated to accelerate the discovery of antiviral polymers. Molecular descriptors derived from polymer composition enable predictive modeling of antiviral activity, while unsupervised clustering explores chemical diversity. The active learning workflow identifies optimal candidates for synthesis, demonstrating
Clodagh M Boland, Nhat Quynh Nguyen, Nathan RB Boase   +2 more
wiley   +1 more source

Modelling Motion‐Induced Signal Corruption in Steady‐State Diffusion MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Diffusion‐weighted steady‐state free precession (DW‐SSFP) is a diffusion imaging sequence achieving high SNR efficiency. A key challenge for in vivo DW‐SSFP is the sequence's severe motion sensitivity, currently limiting investigations to low or no motion regimes.
Benjamin C. Tendler, Wenchuan Wu, Karla L. Miller, Aaron T. Hess   +3 more
wiley   +1 more source

A Bioinformatics Workflow to Identify eccDNA Using ECCFP From Long-Read Nanopore Sequencing Data. [PDF]

Bio Protoc
Li W, Miao B, Wan S.
europepmc   +1 more source