Results 121 to 130 of about 2,022,173 (249)

Targeting online sales through last‐mile delivery platform integration

Journal of Operations Management, Volume 71, Issue 2, Page 195-219, March 2025.
Abstract We analyze channel integration between a last‐mile delivery platform and a general merchandise retailer in two distinct stages: (1) platform delivery access (PDA), where the retailer continues to offer standard delivery through its own website but directs customers to the platform's website for new same‐day delivery; and (2) integrated ...
Kevin H. Park, Xiaodan Pan, Martin E. Dresner   +2 more
wiley   +1 more source

Sensory profiling of South Korean grape wines: a comparison of fast profiling methods and evaluation environments

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND The South Korean wine market has rapidly expanded in recent years; however, the sensory characteristics of domestically produced red wines remain largely unexplored. This study aims to profile the sensory attributes of South Korean red wines and compare the performance of two rapid profiling methods – check‐all‐that‐apply (CATA) and
Yeonjoo Yeo, Han Sub Kwak, Seo‐Jin Chung, Kaixin Xiao, Mi‐Ran Kim, Jungmin Oh   +5 more
wiley   +1 more source

Short Course on Optimization Technology and Applications in High Frequency and Microwave Circuit Design

, 1994
Course notes and advertisement for a Short Course given at the Department of Electromagnetic Theory and Engineering, Duisburg University, Duisburg, Germany. The course was delivered by John W. Bandler and S.H. Chen on October 4 and 5, 1994.
Bandler, John W., Chen, S.H., Optimization Systems Associates   +2 more
core   +1 more source

Harnessing AI for advancing pathogenic microbiology: a bibliometric and topic modeling approach

Frontiers in Microbiology
IntroductionThe integration of artificial intelligence (AI) in pathogenic microbiology has accelerated research and innovation. This study aims to explore the evolution and trends of AI applications in this domain, providing insights into how AI is ...
Tian Tian, Xuan Zhang, Fei Zhang, Xinghe Huang, Minglin Li, Ziwei Quan, Wenyue Wang, Jiawei Lei, Yuting Wang, Ying Liu, Jia-He Wang   +10 more
doaj   +1 more source

From ACR O‐RADS 2022 to Explainable Deep Learning

Journal of Ultrasound in Medicine, EarlyView.
Objectives The 2022 update of the Ovarian‐Adnexal Reporting and Data System (O‐RADS) improves risk stratification of adnexal lesions; however, radiologist interpretation remains subject to inter‐observer variability and conservative diagnostic thresholds.
Ali Abbasian Ardakani, Afshin Mohammadi, Alisa Mohebbi, Anushya Vijayananthan, Sook Sam Leong, Yi Ting Lim, Mohd Kamil Bin Mohamad Fabell, Gernot Hudelist, Balint Balogh, Marlina Tanty Ramli Hamid, U Rajendra Acharya, Sepideh Hatamikia   +11 more
wiley   +1 more source

SLKIR: A framework for extracting key information from air traffic control instructions Using small sample learning

Scientific Reports
In air traffic control (ATC), Key Information Recognition (KIR) of ATC instructions plays a pivotal role in automation. The field's specialized nature has led to a scarcity of related research and a gap with the industry's cutting-edge developments ...
Peiyuan Jiang, Chen Zeng, Weijun Pan, Boyuan Han, Jian Zhang   +4 more
doaj   +1 more source

Beyond Reality Avoidance: Unraveling the Paradox of Escapism Through Self‐Monitoring and Autonomy Mechanisms for Consumers' Life Satisfaction

Psychology &Marketing, EarlyView.
ABSTRACT This study introduces the Paradox of Escapism, exploring how the act of escaping reality can evolve from a short‐term avoidance strategy to a mechanism for self‐regulation and enhanced life satisfaction. Employing five rigorous, multimethod investigations, including qualitative interviews and sentiment analysis (Study 1), Structural Equation ...
Thamiris Magalhães de Sousa, Flávio Santino Bizarrias, Thelma Valéria Rocha, Larissa Luz Raposo   +3 more
wiley   +1 more source

MPLUM: A LLM-Assisted Multi-Objective Prompt Learning for High-Quality English-Urdu Summarization

IEEE Access
Despite the impressive strides of large language models (LLMs) in text summarization, their effectiveness still hinges on well-crafted prompts, a process that remains labor-intensive, subjective, and difficult to scale.
Muaaz Zahid Ansari, Naveen Saini, Konstantinos Zervoudakis, Diego Oliva, Marco Perez-Cisneros   +4 more
doaj   +1 more source

The impact of visual cues and lexical knowledge on the perception of a non-native consonant contrast for Colombian adults [PDF]

, 2010
The study investigates the impact of visual cues and lexical knowledge on the identification of a nonnative phonemic contrast. Twenty native Colombians were tested on an identification task involving 16 minimal pairs of English words, produced by four ...
Thompson, M., Hazan, V.
core  

AI‐Ready Bureaucracies? Assessing Capacity‐Building Approaches in European National AI Strategies

Public Administration and Development, EarlyView.
ABSTRACT The global expansion of Artificial Intelligence (AI) strategies is reshaping expectations about state capacity, yet the role of civil servants in this transition remains insufficiently theorized. This study examines how EU Member States address the civil service workforce in their national AI strategies, employing content and cluster analysis ...
Manuel Pedro Rodríguez Bolívar, Sergio Medina‐Bernabé, J. Ignacio Criado   +2 more
wiley   +1 more source