Results 71 to 80 of about 110,763 (301)

An empirical study on the user acceptance of hotel information systems [PDF]

, 2009
hotel information systems (HISs); technology acceptance model (TAM); information technology acceptance; personal innovativeness; organizational innovativeness ...
Ergin Sait Varol, Ertugrul Tarcan
core   +1 more source

Targeting Lactate and Lactylation in Cancer Metabolism and Immunotherapy

Advanced Science, EarlyView.
Lactate, once deemed a metabolic waste, emerges as a central regulator of cancer progression. This review elucidates how lactate and its epigenetic derivative, protein lactylation, orchestrate tumor metabolism, immune suppression, and therapeutic resistance.
Jiajing Gong, Yuhang Xie, Zhijie Weng, Yongzhi Wu, Longjiang Li, Bo Li   +5 more
wiley   +1 more source

Artificial-intelligence-driven governance: addressing emerging risks with a comprehensive risk-prevention-centred model for public health crisis management

Health Research Policy and Systems
Background In response to the coronavirus disease 2019 (COVID-19) pandemic, an emerging public health crisis with global impact, various artificial intelligence (AI)-enabled devices for pandemic-prevention emerged, highlighting the urgent need to ...
Ching-Hung Lee, Zhichao Wang, Dianni Wang, Shupeng Lyu, Chun-Hsien Chen   +4 more
doaj   +1 more source

Model Penerimaan Aplikasi BRISPOT BRI Unit Dengan Pendekatan Technology Acceptance Model (TAM)

Jurnal Aplikasi Bisnis dan Manajemen, 2022
BRISPOT is BRI's innovative step in Financial Technology (Fintech) services to accelerate the micro credit process, be more efficient, paperless and digital-based.
Marco Bona Tua, Hartoyo, Lilik Noor Yuliati   +2 more
doaj   +1 more source

Feasibility Study Of Lecturers’ Acceptance Of E-Assessment [PDF]

, 2014
Technology acceptance studies are an effective way of gauging future system use and developing a robust system. In the area of e-learning numerous technology acceptance studies exist.
Imtiaz, Md. Athar, Maarop, Nurazean
core  

Understanding and Overcoming Antibody‐Drug Conjugate Resistance: Biological Mechanisms and Emerging Analytical Frameworks in Breast Cancer

Advanced Science, EarlyView.
Antibody–drug conjugates (ADCs) transform breast cancer therapy, yet resistance limits their durability. Emerging evidence reveals that ADC failure is not solely tumor‐intrinsic but shaped by dynamic tumor–microenvironment interactions that alter drug delivery, processing, and response.
Minji Seo, Jangsoon Lee, Naoto T. Ueno
wiley   +1 more source

User acceptance of AI-powered training: extending the technology acceptance model (TAM)

Future Business Journal
Despite advancements in technological defenses, human error still remains a crucial role in cyber incidents, highlighting the need for effective cybersecurity awareness (CSA) and training.
Mohammad Mulayh Alshammari, Yaser Hasan Al-Mamary   +1 more
doaj   +1 more source

THE role of the technology acceptance model in information systems research: a case study [PDF]

, 2011
Explaining the factors that lead to use and acceptance of information technology (IT), both at individual and organizational levels, has been the focus of information systems (IS) researchers since 1970s. The Technology Acceptance Model (TAM) is known as
Mojtahed, R., Nunes, J.M.B., Peng, G.C.
core  

TAM Model Validation Adoption of Augmented Reality through Structural Equations [PDF]

, 2018
Se analiza el modelo TAM (Technology Acceptance Model), que sugiere que la actitud hacia una tecnología depende de dos variables: la utilidad percibida y la facilidad de uso percibida.
Cabero Almenara, Julio, Pérez Díez de los Ríos, José Luis   +1 more
core   +1 more source

Deciphering and Targeting the Schwannoma‐Neuron‐Macrophage Crosstalk for the Treatment of Schwannomatosis and Associated Pain

Advanced Science, EarlyView.
We established patient‐derived SWN cell lines and orthotopic PDX models that recapitulate patient pain phenotypes, alongside a novel intravital DRG imaging platform to track macrophage infiltration and neuronal pain responses. Using these models, we define HMGB1–CCL2–IL‐6 signaling crosstalk driving pain and identify EGF signaling as a key regulator of
Zhenzhen Yin, Limeng Wu, Yanling Zhang, Yao Sun, Grace Y. Lee, Simeng Lu, Xing Gao, John W. Chen, Sonu Subudhi, William Ho, Chao Zhu, Jun Ren, Gino B. Ferraro, Alona Muzikansky, Anat Stemmer‐Rachamimov, Jianren Mao, Scott R. Plotkin, Lei Xu   +17 more
wiley   +1 more source