Results 111 to 120 of about 121,493 (266)

Teach Yourself? Language Learning through Self-Instruction Manuals in Nineteenth-Century Scandinavia [PDF]

open access: yes, 2010
To learn a foreign language from a self-instruction manual (teach-yourself book) is not as easy as the publishers will have us believe. Despite this, the genre has endured for many centuries.
Sorensen, L M
core  

Reduced‐Port Versus Multi‐Port Laparoscopic Colectomy for Colorectal Cancer: A Systematic Review, Meta‐Analysis, and Meta‐Regression

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Reduced‐port laparoscopic colectomy (RPLC) for colorectal cancer offers modest intraoperative benefits, including shorter operative time and lower blood loss, while maintaining comparable postoperative recovery, lymph node yield, and complication rates to multi‐port laparoscopic colectomy (MPLC).
Ayesha Shaukat   +9 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova   +4 more
wiley   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

open access: yesAdvanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser   +6 more
wiley   +1 more source

Toni Morrison’s Beloved: Plantations, Pedagogy and the Future of Digital Slavery [PDF]

open access: yesJournal of Interdisciplinary Sciences
For scholars who study the history of slavery in the United States, the claim that slave plantations functioned like schools is controversial but hardly original.
Jeremy Dennis
doaj  

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

open access: yesAdvanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto   +5 more
wiley   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang   +5 more
wiley   +1 more source

Illinois Natural History Survey Annual Report FY2005

open access: yes, 2005
Open Restriction set for Item 105622 on 2018-04-12T19:26:52Z with date null by joellat2@illinois.edu.Submitted by Joella Travis (joellat2@illinois.edu) on 2018-04-12T19:36:10Z No.
Illinois Natural History Survey
core  

Genealogical Family History in Aotearoa-New Zealand: From Community of Practice to Transdisciplinary Academic Discourse? [PDF]

open access: yes, 2008
Genealogical Family Historians conduct research in order to reconstruct genealogical families, through the application of a rigorous methodology: weighing the evidence for placing each individual in a family group, linking family groups of the past and ...
Brown, Margaret Mary Selman
core  

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