Results 101 to 110 of about 1,172,362 (258)

Extended routine lymphocyte immunophenotyping refines individual immune organization across a heterogeneous patient cohort

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Routine TBNK immunophenotyping detects the major lymphocyte compartments but may underestimate the biologically relevant variation contributed by less frequent but well‐defined minor lymphocyte subsets. This study evaluated whether extending routine TBNK immunophenotyping with minor lymphocyte subsets provides complementary, analytically ...
Carlos Agustin Villegas Valverde, Yendry Ventura Carmenate, Vianed Marsan Suarez, Yandy Marx Castillo Aleman, Imilla Casado Hernandez, Rachely Hernandez Corrales   +5 more
wiley   +1 more source

Application of Self-Organizing Map and K-Means to Cluster Bandwidth Usage Patterns in Campus Environment

JOIN: Jurnal Online Informatika
Unequal bandwidth distribution in campus environments often stems from a lack of understanding of WiFi usage patterns, as seen at Itenas Bandung. Here, bandwidth is allocated equally across all buildings, ignoring differences in demand, leading to ...
Yusup Miftahuddin, Abdur Rafi Syach Ridwan   +1 more
doaj   +1 more source

A local search approach to silhouette-based clustering [PDF]

, 2022
openClustering aims to split a set of objects into k groups (called clusters), in such a way each cluster contains similar objects and dissimilar objects find place in different clusters.
PERESSONI, DAVIDE
core  

Beyond BMI: Unsupervised Machine Learning Clustering of Bioelectrical Impedance Phenotypes Is Associated With Weight‐Recovery Trajectories in Anorexia Nervosa

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective To identify data‐driven body composition phenotypes in patients with moderate‐to‐extreme anorexia nervosa (AN) using machine learning (ML) clustering of bioelectrical impedance analysis (BIA) parameters, and to test whether these phenotypes have specific psychopathological and childhood trauma profiles while correlating with early ...
Emanuele Cassioli, Gaia Maiolini, Eleonora D'Areglia, Livio Tarchi, Eleonora Rossi, Veronica Ceccarelli, Cristiano Dani, Luca Zompa, Chiara Ranieri, Enrico Lodovici, Anita Nannoni, Valdo Ricca, Giovanni Castellini   +12 more
wiley   +1 more source

Species traits mediate terrestrial mammal density responses to human impacts

Ecography, EarlyView.
Human activities are reshaping ecosystems, but their effects on species population density remain poorly understood. Most studies focus on species presence–absence, thus limiting insight into how anthropogenic pressures affect population density. Emerging evidence suggests that responses of natural populations to human disturbance are highly variable ...
Luca Santini, Diana E. Bowler, Roberto Salguero‐Gómez, Inês S. Martins, Franziska Schrodt, Romain Frelat, Mickael Hedde, Naia Morueta‐Holme, Pierre Gaüzère, Cyrille Violle, Romain Goury, Joaquim Estopinan, Miriam Beck, Wilfried Thuiller   +13 more
wiley   +1 more source

Penentuan Cluster Terbaik K-Means Menggunakan Algoritma Silhouette

, 2020
Pada penelitian ini dilakukan untuk mendapatkan jumlah klaster terbaik dalam algoritma K-Means dengan menghitung nilai Silhouette Coefficient untuk setiap jumlah pusat klaster.
Eldo, Handry
core  

Acute effects of anti‐seizure medications on network level dynamics: A systematic comparison using multielectrode arrays

Epilepsia, EarlyView.
Abstract Objective A multi‐electrode array (MEA) is a powerful extracellular recording technique for long‐term monitoring of neuronal network activity. In recent years, MEA‐based assays have been applied increasingly to evaluate drug efficacy and neurotoxicity, including the assessment of anti‐seizure medications (ASMs). However, systematic comparisons
Griselda Marku, Lena Gschossmann, Kerstin Hallmann, Heinz Beck, Kunihiko Araki   +4 more
wiley   +1 more source

Metrics for Evaluating Synthetic Time-Series Data of Battery

Applied Sciences
The advancements in artificial intelligence have encouraged the application of deep learning in various fields. However, the accuracy of deep learning algorithms is influenced by the quality of the dataset used.
Sujin Seol, Jaewoo Yoon, Jungeun Lee, Byeongwoo Kim   +3 more
doaj   +1 more source

Energy‐Flow Regimes and Their Temporal Transitions in a PV‐Building System

Energy Science &Engineering, EarlyView.
Unlike production and consumption, which act as external factors, generated energy flows reflect the system's internal behavior regarding energy allocation at each time step. The combination of self‐consumption, surplus, and import of surplus energy into the power grid characterizes how electricity is routed between the building's local consumption and
Jacek Caban, Arkadiusz Małek, Iryna Boretska, Kazimierz Drozd   +3 more
wiley   +1 more source

Perbandingan Metode K-Medoids dan Metode K-Means Dalam Analisis Segmentasi Pelanggan Mall

SINTECH (Science and Information Technology) Journal
Memahami pelanggan sangat penting untuk mengelola operasi perusahaan. Dengan mengetahui dan memahami setiap pelanggan, dapat meningkatkan komunikasi layanan produk dengan menyesuaikan kebutuhan dan layanan kepada setiap pelanggan.
Nur Rohman, Arief Wibowo
doaj   +1 more source