Results 111 to 120 of about 6,103,147 (293)

ECOSYSTEMS FOR POWERPLANTS WITH RENEWABLE ENERGY SOURCES

open access: yesRUDN Journal of Ecology and Life Safety, 2016
Russia ecosystems have significant potential for various types of alternative energy sources development (AES) throughout the country. Especially great potential for wind, geothermal and solar energy.
G E Artamonov, V A Gutnikov
doaj  

Correction: the human footprint in Mexico: physical geography and historical legacies. [PDF]

open access: yesPLoS One, 2015
González-Abraham C   +5 more
europepmc   +1 more source

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

open access: yesAdvanced Science, EarlyView.
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu   +5 more
wiley   +1 more source

A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long‐Read Data

open access: yesAdvanced Science, EarlyView.
SpecImmune introduces a unified computational framework optimized for long‐read sequencing to resolve over 400 highly polymorphic immune genes. This scalable approach achieves high‐resolution typing, enabling the discovery of cross‐family co‐evolutionary networks and population‐specific diversity.
Shuai Wang   +5 more
wiley   +1 more source

Single‐Cell Dissection of Tumor‐Infiltrating Lymphocytes Reveals Cellular Architecture Predictive of Therapeutic Efficacy in Acral Melanoma

open access: yesAdvanced Science, EarlyView.
Autologous tumor‐infiltrating lymphocyte (TIL) therapy shows promising efficacy in acral melanoma, yet determinants of durable response remain unclear. By integrating single‐cell transcriptomics and TCR sequencing, this study reveals that TIL products enriched for T follicular helper and intermediate exhausted T cells establish persistent clonal ...
Chao Zhang   +12 more
wiley   +1 more source

Metarhizium anisopliae Mitigates the Phytotoxicity of Lead and Nanoplastics on Rice by Modifying Physiological, Transcriptomic, Metabolomic Activities, and Soil Microbiome

open access: yesAdvanced Science, EarlyView.
Metarhizium anisopliae alleviates the phytotoxic effects of polyethylene nanoplastics (NP) and lead (Pb) in rice by decreasing Pb uptake, restoring antioxidant and hormonal equilibrium, and promoting growth. Additionally, the fungus modifies the rhizosphere microbiota, enhancing both contaminant tolerance and plant growth, thereby effectively ...
Jing Peng   +7 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

Regulating Zinc Anode Interface with an Environmental Biomass‐Derived Additive for Long‐Lifespan Aqueous Batteries

open access: yesAdvanced Science, EarlyView.
A biomass‐derived additive synthesized from chitin, 3‐acetylamino‐5‐acetylfuran (3A5AF), resolves key stability issues such as uncontrolled dendrite growth, hydrogen evolution reaction, and corrosion of zinc anodes by reconstructing the solvation structure of the electrolyte and protecting the anode interface. ABSTRACT Aqueous zinc‐based batteries face
Bingbo Ni   +5 more
wiley   +1 more source

Forecasting Root Rot Disease through Predictive Microbial Functional Profiling

open access: yesAdvanced Science, EarlyView.
Predicting soil‐borne disease moves beyond observation with a framework that elevates microbial functional genes into reliable forecasting biomarkers. By coupling targeted qPCR assays for core stress‐response genes with machine learning, this method detects root rot risks in pre‐symptomatic soils with over 80% accuracy.
Chuan You   +11 more
wiley   +1 more source

Home - About - Disclaimer - Privacy