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Data gaps of international databases on HPAI H5 in wildlife in the Americas: implications for surveillance, research, and conservation

Global efforts to prevent and mitigate the impacts of high pathogenicity avian influenza (HPAI) H5 on domestic animals, humans, and wildlife rely on timely and transparent information that is both accurate and interpretable across countries and sectors. International epidemiological and genomic databases, such as the World Animal Health Information System (WAHIS), the Global Animal Disease Information System (EMPRES-i+), the Global Initiative on Sharing All Influenza Data (GISAID), and the...

bioRxiv 10d ago

Indexicon: A Spatial Indexing Library

arXiv:2606.04676v1 Announce Type: new Abstract: Spatial indexing is foundational to Geographic Information Systems (GIS) and multi-dimensional data management, yet the current open-source landscape poses a significant barrier to research that employs or benchmarks spatial access methods. We observe that most of the existing open-source libraries include a single index. Some are hindered by complex dependencies, missing critical functionalities, inconsistent APIs, and rigid constraints...

arXiv CS 6d ago

Top Chinese map-making scientist detained in anti-corruption sweep

Top Chinese map-making scientist detained in anti-corruption sweep Zhou Chenghu, a cartographer with a business empire in geographic information and low-altitude economy, probed by anti-graft authorities In late May, the Economic Observer, a weekly Chinese newspaper, cited “informed sources” and said the 62-year-old CAS academician had been taken away by disciplinary inspectors from the lobby of his research institute building in late April. His personal details have since been removed from...

South China Morning Post 8d ago

Genotypic and multi-environment phenotypic evaluation of the lima bean USDA National Plant Germplasm System collection

Lima bean (Phaseolus lunatus L.) is an economically and agronomically important grain legume. Lima beans (or limas) show a range of climatic adaptations with independent domestications in the Andes (large-seeded) and Mesoamerica (small- or medium-seeded). We generated and integrated genotypic and comprehensive field- and laboratory-based phenotypic information for the available accessions in the USDA National Plant Germplasm System collection across multiple environments to inform germplasm...

bioRxiv 5d ago

First-of-its-kind AI tool for translating life-saving weather warnings across the US advanced

First-of-its-kind AI tool for translating life-saving weather warnings across the US advanced Gaby Clark Scientific Editor Andrew Zinin Lead Editor Nearly 69 million people in the United States speak a language other than English at home, yet weather warnings have long been issued almost exclusively in English. A new study documents how the National Weather Service is using artificial intelligence to change that, developing a comprehensive translation program that delivers life-saving...

Phys.org 8d ago

Building user-driven climate adaptation products

Abstract Climate adaptation products have traditionally been developed using a supply-driven model reliant on available climate information, leading to usability gaps1,2,3,4. To better meet user needs, the climate services field has recognized a need to shift towards a demand-driven model emphasizing co-production, that is, user-driven, scientifically informed products created through shared knowledge practices1,2,3,4,5. However, co-production can be challenging, especially for researchers...

Nature 1d ago

Deep learning four decades of human migration

Abstract Human migration is a fundamental driver of global demographic change, shaping population structure, labour markets and social policy across countries1,2,3. Although long-term migration patterns are often linked to economic development4, they can shift rapidly in response to shocks such as conflict, environmental crises and political change5. Despite its importance, migration remains difficult to measure consistently: existing data are sparse, concentrated in high-income settings and...

Nature 1d ago

PlanBench-V: A Spatial Planning Map Benchmark for Vision-Language Models

Announce Type: new Abstract: Spatial planning maps are central to territorial governance, translating planning objectives, regulations, and spatial strategies into visual forms for decision-making, public communication, and institutional coordination. Their interpretation, however, requires fine-grained visual perception, spatial reasoning, and policy-informed professional judgment, creating major challenges for both human learners and AI systems. With the rapid progress of Vision-Language...

arXiv CS 5d ago

Food industries embrace AI sensors to improve efficiencies

Food industries embrace AI sensors to improve efficiencies Lisa Lock Scientific Editor Andrew Zinin Lead Editor Food waste is a nagging problem that weighs heavily on global food production, distribution and sales industries—but an emerging generation of AI sensors is providing a raft of fresh solutions. The embrace of AI in food industries has been swift, which is why Flinders University researchers have worked with an international research team to build the first comprehensive overview of...

Phys.org 7d ago

Spain’s new legacy: Rooted in place, built on craft

brand studio Advertorial Spain’s new legacy: Rooted in place, built on craft From fine dining to fashion and design, Spain is turning heritage and know-how into global appeal – and economic momentum. On any given evening in Madrid, diners at the three-Michelin-starred DiverXO might be served seasoned barnacles or a rare Cantabrian rooster from northern Spain. Chef Dabiz Munoz’s approach – inventive, personal and grounded in a sense of place – reflects a broader Spanish sensibility now...

Channel News Asia 2d ago