Results 121 to 130 of about 195,611 (300)

An analysis of landscape fragmentation in the Brazilian Amazon based on deforestation data derived from Landsat imagery. [PDF]

open access: yes, 2014
Deforestation in the Brazilian Amazon has produced fragmentation of the largest tropical rain forest in the planet resulting in impacts over biodiversity and the functioning of ecosystems.
ALVES, D. S.   +2 more
core  

Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)

open access: yesAdvanced Science, EarlyView.
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang   +14 more
wiley   +1 more source

Relationships between amount and configuration indicators in real-world landscapes: Novel references for the assessment of forest cover in the Iberian Peninsula

open access: yesEcological Indicators
Understanding the role of habitat loss and fragmentation per se is crucial to generate relevant knowledge for habitat management. In the case of forest species, this can be achieved by measuring forest amount and configuration metrics at the landscape ...
Sergio González-Ávila   +3 more
doaj   +1 more source

Beyond the stand: Reviewing landscape fragmentation dynamics on biodiversity and ecosystem services in Southeast Asia [PDF]

open access: yes, 2019
Forest and agriculture landscapes dominate across Southeast Asia. Agricultural systems are highly diverse ranging from traditional swidden and agroforestry, to the more recent intensive industrial oil palm plantations.
Laumonier, Yves, Lo, M.
core  

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

open access: yesAdvanced Science, EarlyView.
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas   +6 more
wiley   +1 more source

Cuproptosis and Mitophagy Mediated by the THUMPD1/IGF2R‐Dependent Suppression of AKT and Activation of AMPK Signaling Suppress Lung Adenocarcinoma Progression

open access: yesAdvanced Science, EarlyView.
THUMPD1 drives a tumor‐suppressive signaling cascade in lung adenocarcinoma by promoting IGF2R expression. IGF2R associates with PPP2R1A to suppress AKT and activate AMPK, leading to SLC31A1 upregulation and copper accumulation. Elevated copper disrupts mitochondrial metabolism and induces excessive mitophagy, thereby restraining tumor growth and ...
Kai Wu   +10 more
wiley   +1 more source

Ecologia da paisagem voltada para o manejo de avifauna [PDF]

open access: yes, 2003
A análise da paisagem, mais especificamente a ecologia da paisagem permite estabelecer uma base de estudo para compreendermos os impactos humanos na fragmentação da vegetação e na distribuição e conservação das aves.
Carvalho Júnior, Osmar Abílio de   +2 more
core  

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

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

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