Restoration of Threatened Arable Weed Communities in Abandoned Mountainous Crop Fields

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Sulfurospirillum diekertiae sp. nov., a tetrachloroethene-respiring bacterium isolated from contaminated soil

Christof Holliger, Julien Maillard, Junxiong Wang

Two anaerobic, tetrachloroethene- (PCE-) respiring bacterial isolates, designated strain ACSDCE T and strain ACSTCE, were characterized using a polyphasic approach. Cells were Gram-stain-negative, motile, non-spore-forming and shared a vibrioid- to spirill ...

2023

Different responses of mice and rats hippocampus CA1 pyramidal neurons to in vitro and in vivo-like inputs

Ying Shi, Armando Romani, Maurizio Ferdinando Pezzoli, Michele Migliore, Rosanna Migliore

The fundamental role of any neuron within a network is to transform complex spatiotemporal synaptic input patterns into individual output spikes. These spikes, in turn, act as inputs for other neurons in the network. Neurons must execute this function acro ...

2023

Chronic warming and dry soils limit carbon uptake and growth despite a longer growing season in beech and oak

Charlotte Grossiord, Yann Vitasse, Margaux Clara Lou Didion-Gency

Progressively warmer and drier climatic conditions impact tree phenology and carbon cycling with large consequences for forest carbon balance. However, it remains unclear how individual impacts of warming and drier soils differ from their combined effects ...

Oxford Univ Press Inc2023

A landmark environmental law looks ahead

Devis Tuia

In late December 1973, the United States enacted what some would come to call “the pitbull of environmental laws.” In the 50 years since, the formidable regulatory teeth of the Endangered Species Act (ESA) have been credited with considerable successes, ob ...

American Association for the Advancement of Science2023

Using machine learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan region

Danya Li

Crop maps are crucial for agricultural monitoring and food management and can additionally support domain-specific applications, such as setting cold supply chain infrastructure in developing countries. Machine learning (ML) models, combined with freely-av ...

Elsevier2023

Automation in steep terrain agriculture: an optimal controller to prevent tipping and slipping of tethered robots on slopes

Josephine Anna Eleanor Hughes, Max Mirko Polzin

Autonomous robots have the potential to fundamentally transform conventional farming methods, e.g. by enabling economically viable farming of sloped arable land. However, navigation on slopes in harsh conditions is challenging for robots as they must be pr ...

TAYLOR & FRANCIS LTD2023

Evaluation of genetic demultiplexing of single-cell sequencing data from model species

Clement Helsens

Single-cell sequencing (sc-seq) provides a species agnostic tool to study cellular processes. However, these technologies are expensive and require sufficient cell quantities and biological replicates to avoid artifactual results. An option to address thes ...

LIFE SCIENCE ALLIANCE LLC2023

A benchmark dataset for machine learning in ecotoxicology

Kristin Schirmer, Marco Baity-Jesi, Fernando Perez Cruz

The use of machine learning for predicting ecotoxicological outcomes is promising, but underutilized. The curation of data with informative features requires both expertise in machine learning as well as a strong biological and ecotoxicological background, ...

Nature Portfolio2023

Mean Field Type Control With Species Dependent Dynamics via Structured Tensor Optimization

Isabel Haasler, Axel Ringh, Yiqiang Chen

In this letter we consider mean field type control problems with multiple species that have different dynamics. We formulate the discretized problem using a new type of entropy-regularized multimarginal optimal transport problems where the cost is a decomp ...

2023

Fungal Planet description sheets: 1478-1549

Guilhem Maurice Louis Banc-Prandi, Sanjeev Kumar, Michele Saba

Novel species of fungi described in this study include those from various countries as follows: Australia, Aschersonia mackerrasiae on whitefly, Cladosporium corticola on bark of Melaleuca quinquenervia, Penicillium nudgee from soil under Melaleuca quinque ...

Leiden2023

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Using machine learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan region

Danya Li

Elsevier2023

Automation in steep terrain agriculture: an optimal controller to prevent tipping and slipping of tethered robots on slopes

Josephine Anna Eleanor Hughes, Max Mirko Polzin

TAYLOR & FRANCIS LTD2023