Results 21 to 30 of about 180,841 (299)

Science Secrets under the Ice [PDF]

open access: yes, 2007
Lora Koenig ’99 spent a summer in Antarctica collecting data about Earth’s ...
Davis, Laura
core   +1 more source

A neural network propagation model for LoRaWAN and critical analysis with real-world measurements [PDF]

open access: yes, 2017
Among the many technologies competing for the Internet of Things (IoT), one of the most promising and fast-growing technologies in this landscape is the Low-Power Wide-Area Network (LPWAN).
Almoathen, Mahmood   +3 more
core   +1 more source

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

open access: yesAdvanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu   +4 more
wiley   +1 more source

Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models

open access: yesAngewandte Chemie, EarlyView.
AI‐empowered catalysis research via integrated database platform, universal machine learning interatomic potentials (MLIPs), and large language models (LLMs). ABSTRACT The integration of artificial intelligence (AI) into catalysis is fundamentally reshaping the research paradigm of catalyst discovery.
Di Zhang   +7 more
wiley   +2 more sources

Algunas especificidades sobre el diagnóstico del cáncer de colon recurrente

open access: yesMedisan, 2015
Se realizó un estudio descriptivo y observacional de 37 pacientes operados de cáncer de colon, con intención curativa, y que presentaron recurrencia tumoral, atendidos en el Hospital Clinicoquirúrgico Docente "Saturnino Lora Torres", de Santiago de Cuba,
Zenén Rodríguez Fernández   +4 more
doaj  

Medical Literary Messenger (Vol. 2, No. 2, Spring 2015) [PDF]

open access: yes, 2015
Briars / Laura Apol -- Something’s Missing Here / John M. Trumbo -- Diagnosis / Tzivia Gover -- Distance / Priscilla Frake -- Body and Blood / Peter Schmitt -- Anything But Superior Medicine / Julia Hones -- Trading Qintars for Qiviuts in Qatar / Peter ...

core   +1 more source

Amber imitation? Two unusual cases of Pinus resin-coated beads in Iberian Late Prehistory (3rd and 2nd millennia BC) [PDF]

open access: yes, 2019
A group of beads from the artificial cave of La Molina (Lora de Estepa, Sevilla) and Cova del Gegant (Sitges, Barcelona) were made from a biogenic raw material and intentionally covered by a layer of resin.
Avilés Escaño, Miguel Ángel   +5 more
core   +2 more sources

Stable Diffusion Models Reveal a Persisting Human–AI Gap in Visual Creativity

open access: yesAdvanced Science, EarlyView.
This study examines visual creativity in humans and generative AI using the TCIA framework. Human artists outperform AI overall, yet structured human guidance substantially improves AI outputs and evaluations. Findings reveal that alignment with human creativity depends critically on contextual framing, highlighting both the promise and current ...
Silvia Rondini   +8 more
wiley   +1 more source

Supervivencia y seguimiento clínico de mujeres mastectomizadas durante una década

open access: yesMedisan, 2013
Se llevó a cabo una investigación explicativa, de cohorte y aplicada, en 132 pacientes operadas por cáncer de mama, con seguimiento clínico en la consulta de Mastología del Hospital Provincial Docente Clinicoquirúrgico "Saturnino Lora Torres" de Santiago
José Manuel Ricardo Ramírez   +4 more
doaj  

Prompt Engineering Accelerates the Data‐Driven Discovery of Photocatalysts via an LLM‐Based Model Ensemble Strategy

open access: yesAdvanced Science, EarlyView.
This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li   +7 more
wiley   +1 more source

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