Results 111 to 120 of about 14,223,498 (240)

A CASA-Based, MODIS-Constrained Framework for Consistent Annual NPP Simulation in Alpine Complex Environments: A Case Study of the Gannan Plateau

open access: yesRemote Sensing
Net primary productivity (NPP) is a core diagnostic variable of terrestrial carbon cycling, yet consistent annual NPP simulation remains challenging in alpine heterogeneous regions where topography, hydrothermal gradients, vegetation structure, and ...
Dingyun Zhang, Yunfei Li, Xiaohua Gou
doaj   +1 more source

Artificial intelligence demonstrates comparable diagnostic accuracy to radiologists for anterior cruciate ligament tears on MRI: A systematic review and meta‐analysis

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Anterior cruciate ligament (ACL) tears are among the most common knee injuries, accounting for half of all knee ligament injuries. Magnetic resonance imaging (MRI) is the standard for diagnosing ACL tears, but its interpretation is experience‐dependent.
Gabriel Moraes de Oliveira   +8 more
wiley   +1 more source

Mixed Litter Decomposition Drives Functional Gene Rearrangement in the Microbial Carbon Cycle

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Understanding how mixed‐species litter decomposition regulates microbial communities and carbon cycling is vital for guiding ecosystem restoration and climate change mitigation, as it is a key process for nutrient cycling and carbon sequestration. A 15‐month field experiment compared single‐species (Pinus sylvestris var.
Jiaying Liu   +6 more
wiley   +1 more source

Geospatial modelling of vegetation dynamics and carbon sequestration capacity in Ekiti State, Nigeria, using MODIS data and CASA models

open access: yesTurkish Journal of Remote Sensing
The accurate estimation of terrestrial carbon sequestration capacity is fundamental to national climate mitigation efforts and achieving Sustainable Development Goals (SDGs).
Oluwafemi David Bejide   +1 more
doaj   +1 more source

Artificial Voices, Real Causes: The Dilemma of Virtual Influencer‐Driven Brand Activism

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT Brands are more frequently adopting virtual influencers (VIs) to lead activism campaigns. However, little is known about when and how such activism effectively drives consumer engagement. This research, in Study 1, examines 14,464 Instagram posts from 18 diverse VIs using large‐scale analytics to assess engagement intensity and the dynamics of
Sampa Anupurba Pahi   +4 more
wiley   +1 more source

Assembling Engagement With Autonomy and Language ‐ A Neuroscientific Case Study With Digital Companions

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT This study addresses the need to understand human engagement with empathic Generative Artificial Intelligence (GenAI) digital companions (DC), as these systems increasingly fulfil social and emotional roles in daily life. Motivated by the rapid adoption of DC technologies and their potential to reshape human–AI relationships, the study applies
Aitor Ezker‐Galech   +3 more
wiley   +1 more source

Hello, [Your Name]: Why Name‐Based Personalization Enhances Chatbot Effectiveness

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT Organizations increasingly adopt chatbots as strategic tools to engage with consumers and strengthen brand outcomes. This study explores how chatbots that use name‐based personalization in their communications can more efficiently influence consumer behavior towards the brand.
Ji Min Lee   +3 more
wiley   +1 more source

The Physical, Emotional, and Autonomous Anthropomorphism of Service Chatbots

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT Prior research on chatbot anthropomorphism has often treated it as a unidimensional construct, producing inconsistent findings regarding how human‐like design cues shape user responses. This study conceptualizes anthropomorphism as a multidimensional higher‐order perception comprising three distinct forms of anthropomorphic attribution ...
Yangjuan Hu, Fulya Acikgoz, Shubin Yu
wiley   +1 more source

When AI Remembers: Investigating the Dual Role of Long‐Term Memory in Chatbots

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT This research investigates the dual role of long‐term memory (LTM) in AI chatbots and its impact on customer outcomes. Drawing on Mind Perception Theory and Privacy Calculus Theory, we conceptualize LTM as a continuity‐based design capability that may be interpreted as a functional service feature, a privacy‐relevant cue, or a basis for ...
Maedeh Parvizian   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy