Results 211 to 220 of about 9,111,652 (312)

Beyond a single ratio: an adaptable deep learning approach to analyze the prognostic value of TSP distribution in ovarian cancer

The Journal of Pathology, EarlyView.
Abstract The tumor–stroma percentage (TSP) has been proposed as a prognostic factor in ovarian cancer. When assessed manually by pathologists, the TSP can be subject to significant inter‐rater variability. Automated methods for TSP determination have recently been developed.
Daniel Firmbach, Petr Kuritcyn, Michaela Benz, Pamela L Strissel, Reiner Strick, Matthias W Beckmann, Laura Glossner, Julius Emons, Volker Bruns, Arndt Hartmann, Markus Eckstein, Christian Matek   +11 more
wiley   +1 more source

The machine-learning classifier ALLCatchR2 identifies 20 T-ALL subtypes across cohorts and age groups. [PDF]

Hemasphere
Beder T, Wolgast N, Walter W, Bendig S, Hartmann AM, Barz MJ, Zaliova M, Reitzel ES, Baden D, Schwartz S, Gökbuget N, Kester L, Trka J, Haferlach C, Brüggemann M, Baldus CD, Neumann M, Bastian L.   +17 more
europepmc   +1 more source

Using art history to explore society's changing connections with agriculture

PLANTS, PEOPLE, PLANET, EarlyView.
Food insecurity is a looming challenge that especially affects those least fortunate. Consumer food choices have a substantial impact on the sustainability of current food systems. Here, we use art as a lens through which to consider our contemporary and historical relationship to one of the world's most crucial crops, the potato, in the context of the
Edward F. Hill‐King, Martin R. McAinsh, Michael R. Roberts   +2 more
wiley   +1 more source

Recommendations to enhance neurodiversity inclusivity in field‐based learning in plant biology higher education

PLANTS, PEOPLE, PLANET, EarlyView.
Societal Impact Statement Field‐based learning is an important component of plant biology higher education, offering students valuable hands‐on in situ experiences to help students appreciate and understand plants within their environment. This nature‐based learning may be particularly valuable for students with neurodiversity conditions who might ...
Marjorie R. Lundgren
wiley   +1 more source

Characteristics of upper‐level updrafts and downdrafts in the anvils of tropical deep convective clouds

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study investigates the thermodynamic and microphysical characteristics of updrafts and downdrafts of tropical deep convective anvil clouds using in situ measurements. We found that parts of the downdrafts are in ice supersaturation in these clouds.
Sreehari Kizhuveettil, Jordi Vila‐Guerau de Arellano, Martina Krämer, Armin Afchine, Luiz A. T. Machado, Martin Zöger, Wiebke Frey   +6 more
wiley   +1 more source

M3RS: Multi‐Robot, Multi‐Objective, and Multi‐Mode Routing and Scheduling

Journal of Field Robotics, EarlyView.
ABSTRACT Task execution quality significantly impacts multi‐robot missions, yet existing task allocation frameworks rarely consider quality of service as a decision variable, despite its importance in applications like robotic disinfection and cleaning. We introduce the multi‐robot, multi‐objective, and multi‐mode routing and scheduling (M3RS) problem,
Ishaan Mehta, Junseo Kim, Sharareh Taghipour, Sajad Saeedi   +3 more
wiley   +1 more source

Thermal irreversibility and entropy generation analysis in MHD peristaltic transport of blood-based hybrid nanofluid through a curved duct. [PDF]

Discov Nano
Akbar NS, Saleem N, Akram J, Eressa LA, Muhammad T, Hussain MF, Habib MB.   +6 more
europepmc   +1 more source

ADAPT: An Autonomous Forklift for Construction Site Operation

Journal of Field Robotics, EarlyView.
ABSTRACT Efficient material logistics are critical in controlling costs and schedules in the construction industry. However, manual material handling remains prone to inefficiencies, delays, and safety risks. Autonomous forklifts offer a solution to streamline on‐site logistics, reducing reliance on human operators and mitigating labor shortages.
Johannes Huemer, Markus Murschitz, Matthias Schörghuber, Lukas Reisinger, Thomas Kadiofsky, Christoph Weidinger, Mario Niedermeyer, Benedikt Widy, Marcel Zeilinger, Csaba Beleznai, Tobias Glück, Andreas Kugi, Patrik Zips   +12 more
wiley   +1 more source

Exploring the Impact of the Relationship Among Nurses' Resilience, Work Environment Satisfaction, and Intention to Stay After the Local COVID-19 Outbreak Situation Changed in Taiwan: A Pre- and Post-Survey Study. [PDF]

Nurs Open
Liao RW, Cheng CH, Tzeng IS.
europepmc   +1 more source