Results 241 to 250 of about 180,724 (346)

Characterization of Setophoma henanensis sp. Nov., causing root rot on peanut. [PDF]

open access: yesBMC Microbiol
Li M   +6 more
europepmc   +1 more source

Root and Foot Rot on Tomato Caused by Phytophthora infestans Detected in Belgium

open access: green, 2004
Bart Lievens   +4 more
openalex   +2 more sources

Lithic analysis in African archaeology: Advances and key themes

open access: yesArchaeometry, EarlyView.
Abstract Stone artifacts (lithics) preserve for extended periods; thus they are key evidence for probing the evolution of human technological behaviors. Africa boasts the oldest record of stone artifacts, spanning 3.3 Ma, rare instances of ethnographic stone tool‐making, and stone tool archives from diverse ecological settings, making it an anchor for ...
Deborah I. Olszewski   +2 more
wiley   +1 more source

Intensifying translocal precarity: The impact of COVID‐19 on smallholder farmers' commodity production and social reproduction in Cambodia

open access: yesArea, EarlyView.
Short Abstract Our paper argues that COVID‐19 deepened the translocal precarity of smallholder households, who already had to struggle with volatile commodity production and uncertain labour migration. Through the lens of translocal precarity, it reveals how the pandemic played out within a broader conjuncture of agrarian transformation, defined by ...
Rosa Yi, W. Nathan Green
wiley   +1 more source

The Embryonic Development of the Cotylean Polyclad Phrikoceros jannetae

open access: yesActa Zoologica, EarlyView.
ABSTRACT Polyclads exhibit distinct developmental modes ranging from direct to indirect development, with several transitional stages also recognised. The existence of an indirect developmental mode in polyclads with a planktonic life history stage in the form of a free‐swimming larva is unique among all free‐living flatworms and makes polyclads a ...
Mehrez Gammoudi   +6 more
wiley   +1 more source

Unveiling the factors of aesthetic preferences with explainable AI

open access: yesBritish Journal of Psychology, EarlyView.
Abstract The allure of aesthetic appeal in images captivates our senses, yet the underlying intricacies of aesthetic preferences remain elusive. In this study, we pioneer a novel perspective by utilizing several different machine learning (ML) models that focus on aesthetic attributes known to influence preferences.
Derya Soydaner, Johan Wagemans
wiley   +1 more source

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