Results 91 to 100 of about 368,090 (289)

F5: Refreshing Philology

open access: yesTeksty Drugie, 2015
Foreword to the issue dedicated to the “new philology”, focusing on the use of digital methods in literary studies. The author asserts that digital humanities concerns ‘the digital’ only to a limited extent. This is not discipline or paradigm, but rather
Maciej Maryl
doaj  

Farmers’ Protests in Germany: Media Coverage and Types of Bias

open access: yesAgribusiness, EarlyView.
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley   +1 more source

Sibilantes em manuscritos do século XVIII

open access: yesFilologia e Linguística Portuguesa, 2005
This article deals with the alternations in the use of sibilants, that is a linguistic variation found in documents from the first half of century XVIII in the scope of the Project Filologia Bandeirante.
Renata Ferreira Munhoz
doaj   +1 more source

Big Data in philology [PDF]

open access: yes
Data in philology significantly changed the traditional methods of researching languages, texts and literature, thanks to the use of computer technologies and methods of processing large volumes of textual information.
Krasniuk, Svitlana   +1 more
core   +1 more source

The Influence of Common Language on the Trade of Wheat and Bakery Products

open access: yesAgribusiness, EarlyView.
ABSTRACT This study examines whether sharing a common official language increases the probability that two countries engage in bilateral trade of wheat and bakery products. Using a binary choice framework applied to 54,780 country‐pair observations for 2023, probit and logit models of the extensive margin of trade are estimated, with a focus on whether
Felipe Durães do Nascimento Monteiro Barbosa   +1 more
wiley   +1 more source

Translating Tibet in the Borderlands: Networks, Dictionaries, and Knowledge Production in Himalayan Hill Stations

open access: yesThe Journal of Transcultural Studies, 2016
British India’s imperial projects took a “Tibetan turn” in the hill-stations of Darjeeling and Kalimpong in the late nineteenth century. These small, tightly packed places were global pinch points that offered a multitude of people, including British ...
Emma Martin
doaj   +1 more source

The Effect of Sustainability Information on Consumers' Preferences for Fungus‐Resistant Grape Wine

open access: yesAgribusiness, EarlyView.
ABSTRACT The demand for sustainable food production is intensifying the need to reduce the environmental and social impacts of pesticide use in agriculture. In viticulture, where dependence on pesticides is high because grapevines are susceptible to fungal diseases, fungus‐resistant grape varieties (PIWI) offer a promising strategy to reduce chemical ...
Daniel Vecchiato   +2 more
wiley   +1 more source

The Journal of Germanic philology. 2 [PDF]

open access: yes, 2011
Made available in DSpace on 2011-09-15T14:44:10Z (GMT). No. of bitstreams: 2 journalofgermani02bloo.pdf: 30599079 bytes, checksum: 741f5d89a2d4f53df282532b66ed0c9c (MD5) license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5)Founded and

core  

When Biology Meets Medicine: A Perspective on Foundation Models

open access: yesAdvanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu   +3 more
wiley   +1 more source

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

open access: yesAdvanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi   +3 more
wiley   +1 more source

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