Results 51 to 60 of about 9,620,800 (176)

Sodium Ions Affect GPR17 Conformational States and Functionality

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT Sodium is an allosteric modulator of several class‐A GPCR regulating active versus inactive conformation state and may be a critical issue for the optimization of crystallization procedures. Herein, the role of Na+ in the regulation of GPR17 conformational states was studied through MD simulations of GPR17 wild‐type and mutated on two ...
Luca Palazzolo, Simona Daniele, Davide Bianchi, Lara Russo, Stefano Capaldi, Maria Letizia Trincavelli, Ivano Eberini   +6 more
wiley   +1 more source

A New Social Life Cycle Assessment Framework: An AI‐Driven Optimization Approach and Application

Sustainable Development, EarlyView.
ABSTRACT Social life cycle assessment (SLCA) has increasingly been acknowledged as a tool for assessing the societal impacts of services and products. However, the fragmented nature of current approaches makes it difficult to compare this concept and its practical applications.
Flavio Vassallo Mattos, João Luiz Calmon, Alencar Bravo, Darli Vieira   +3 more
wiley   +1 more source

Comparison of K-Medoids and K-Means Algorithms in Segmenting Customers based on RFM Criteria [PDF]

E3S Web of Conferences
The company’s approach to customers is important to maintain the company’s profits. Understanding the differences of each customer is very important so that we can understand customer needs based on customer data.
Fitrianti Fahrudin Nur, Rindiyani Rini
doaj   +1 more source

Wind farm maintenance optimisation strategy considering MFTS distance‐based K‐medoids clustering and mixed Weibull model

Energy Conversion and Economics, EarlyView.
Abstract This paper proposes a wind‐resource‐weighted maintenance optimization framework to reduce operation and maintenance (O&M) costs and improve power generation efficiency. Existing clustering methods based on single distance metrics cannot fully capture the multidimensional temporal characteristics of wind‐speed data, while single Weibull models ...
Haixin Wang, Rui Zhuang, Junyou Yang, Mingchao Xia, Qifang Chen, Yubin Wang, Gang Zhao, Minghang Cao, Sharara Rehimi, Hassan Bevrani, Dan Doru Micu, Jingtao Zhao   +11 more
wiley   +1 more source

Perbandingan Algoritma K-Means dan K-Medoids untuk Pengelompokan Pengeluaran Mahasiswa: Comparison of the K-Means and K-Medoids Algorithms for Grouping Student Expenditures

, 2023
Data mining merupakan pemrosesan informasi yang dapat dilakukan secara tersembunyi dari suatu database. Penggunaan data mining banyak sekali diterapkan dalam berbagai sector kehidupan.
Rahayu, Sherly, Fulvi Intan, Sofia, Nurfadilla , Nadia, Elvira, Winda   +3 more
core  

Comparison of Three Sympatric Desert Lizards: Digestive Tract Structure, Digestive Enzyme Activities, Gut Microbiota, and Metabolites

Integrative Zoology, EarlyView.
We performed 16S rDNA sequencing and metabolite profiling for three sympatric lizard species—Teratoscincus roborowskii, Phrynocephalus axillaris, and Eremias roborowskii—and compared their goblet cell and enzyme activities in the digestive tract. Our study suggests that the dietary niche may promote divergence or convergence of microbiota across host ...
Yi Yang, Ziyi Wang, Ruichen Wu
wiley   +1 more source

Efficient approaches for solving the large-scale k-medoids problem [PDF]

, 2017
In this paper, we propose a novel implementation for solving the large-scale k-medoids clustering problem. Conversely to the most famous k-means, k-medoids suffers from a computationally intensive phase for medoids evaluation, whose complexity is ...
Alessio Martino, Fabio Massimo Frattale Mascioli, Frattale Mascioli, Fabio Massimo, Martino, Alessio, Rizzi, Antonello, Antonello Rizzi   +5 more
core   +1 more source

Comparison of K-Means and K-Medoids Algorithms for Clustering Poverty Data in South Sumatra Using DBI Evaluation

Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
This research focuses on the implementation and comparison of the K-Means and K-Medoids algorithms that function as poverty data clustering in South Sumatra Province, the poverty data is taken from the Central Statistics Agency of Indonesia (BPS ...
M. Dandi Akhda, Ken Ditha Tania
doaj   +1 more source

Global Variation in Timing of Allergenic Food Introduction for Food Allergy Prevention: An International Survey of Healthcare Professionals

Allergy, EarlyView.
This study examines the current state of food allergy prevention guideline implementation worldwide, identifying key variables that may explain the observed global variation. Among 731 healthcare professionals across 80 countries, geography and clinical specialty independently drove allergenic food introduction practices, creating an 8.5‐month practice
Agnes Sze‐yin Leung, Elizabeth Huiwen Tham, Kiwako Yamamoto‐Hanada, Derek K. Chu, Matthew Norris, Daria Levina, Daniel Munblit, Lamia Dahdah, Luciana Kase Tanno, Carmen Riggioni, Elsy M. Navarrete‐Rodriguez, Michael E. Levin, Thulja Trikamjee, William Guo, Chun Tong Lei, Chun Pong Lau, Supinda Bunyavanich, Nikolaos G. Papadopoulos, Adnan Custovic, Christina West, Gary Wing‐kin Wong   +20 more
wiley   +1 more source

Research on big data diagnosis method of transformer abnormal state based on improved k-medoids clustering and carbon constraint

Diance yu yibiao
In order to further improve the diagnostic accuracy and diagnostic efficiency of carbon constrained type transformer operating state, a transformer state anomaly diagnosis method is proposed based on the improved k-medoids clustering theory.
SONG Jinwei, LI Junni, XUAN Donghai, WU Haihan   +3 more
doaj   +1 more source