Results 91 to 100 of about 1,930,496 (336)

System-in-the-loop Design Space Exploration for Efficient Communication in Large-scale IoT-based Warehouse Systems

, 2018
Instead of treating inventory items as static resources, future intelligent warehouses will transcend containers to Cyber Physical Systems (CPS) that actively and autonomously participate in the optimization of the logistical processes. Consequently, new
Drenhaus, Jens, Falkenberg, Robert, Sliwa, Benjamin, Wietfeld, Christian   +3 more
core   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

A hydrate reservoir renovation device and its application in nitrogen bubble fracturing [PDF]

Geoscientific Instrumentation, Methods and Data Systems
Natural gas hydrate (GH) is a significant potential energy source due to its large reserves, wide distribution, high energy density, and low pollution.
J. Lu, J. Lu, J. Lu, Y. Yao, Y. Yao, Y. Yao, D. Li, D. Li, D. Li, J. Yang, D. Liang, D. Liang, D. Liang, Y. Zhang, Y. Zhang, D. Lin, D. Lin, D. Lin, K. Ma, K. Ma, K. Ma   +20 more
doaj   +1 more source

BCAS: A Web-enabled and GIS-based Decision Support System for the Diagnosis and Treatment of Breast Cancer [PDF]

, 2001
For decades, geographical variations in cancer rates have been observed but the precise determinants of such geographic differences in breast cancer development are unclear. Various statistical models have been proposed.
Adya, Monica, Forgionne, Guisseppi A., Gangopadhyay, Aryya, Tan, Joseph K.   +3 more
core   +1 more source

Predicting High‐Resolution Spatial and Spectral Features in Mass Spectrometry Imaging with Machine Learning and Multimodal Data Fusion

Advanced Intelligent Discovery, EarlyView.
A multimodal fusion pipeline predicts high‐resolution ion distributions in imaging mass spectrometry by integrating Fourier transform ion cyclotron resonance, time‐of‐flight matrix‐assisted laser desorption/ionization, and time‐of‐flight secondary ion mass spectrometry data.
Md Inzamam Ul Haque, Ramakrishnan Kannan, Jacob D. Hinkle, Sylwia A. Stopka, Anton V. Ievlev, Nathalie Y. R. Agar, Olga S. Ovchinnikova, Debangshu Mukherjee   +7 more
wiley   +1 more source

Surveillance of Noncommunicable Disease Epidemic Through the Integrated Noncommunicable Disease Collaborative Management System: Feasibility Pilot Study Conducted in the City of Ningbo, China

Journal of Medical Internet Research, 2020
BackgroundNoncommunicable diseases (NCDs) have become the main public health concern worldwide. With rapid economic development and changes in lifestyles, the burden of NCDs in China is increasing dramatically every year. Monitoring is a critical measure
Li, Sixuan, Zhang, Liang, Liu, Shiwei, Hubbard, Richard, Li, Hui   +4 more
doaj   +1 more source

MODELING PRODUCTIVITY IN SUPERMARKET OPERATIONS: INCORPORATING THE IMPACTS OF STORE CHARACTERISTICS AND INFORMATION TECHNOLOGIES [PDF]

Data from the 2002 Supermarket Panel are used to estimate a supermarket production function with weekly gross margin as the output measure and store selling area and total labor hours as variable inputs.
King, Robert P., Park, Timothy A.
core   +1 more source

Performance Measures Using Electronic Health Records: Five Case Studies [PDF]

, 2008
Presents the experiences of five provider organizations in developing, testing, and implementing four types of electronic quality-of-care indicators based on EHR data.
Brian L. Hazlehurst, Dean F. Sittig, Elizabeth A. Kind, James T. Krizak, Jinnet Briggs Fowles, Jonathan P. Weiner, Kitty S. Chan, Lynne Dancha, Mark J. Selna, Nancy Jarvis, Patricia J. Coon, Shadi Awwad   +11 more
core  

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Assessment of Inventory Management Practices at the Ethiopian Pharmaceuticals Supply Agency, Addis Ababa, Ethiopia

Integrated Pharmacy Research and Practice, 2020
Bekele Boche, Tidenek Mulugeta, Tadesse Gudeta Department of Social and Administrative Pharmacy, School of Pharmacy, Faculty of Health Sciences, Jimma University, Jimma, Oromia, EthiopiaCorrespondence: Tidenek Mulugeta Email tidenek11@gmail.comBackground:
Boche B, Mulugeta T, Gudeta T
doaj