Results 101 to 110 of about 1,701 (255)
Nanoscale Spatial Organization of ARC High‐ and Low‐Order Assemblies at Excitatory Synapses
ARC (Activity‐Regulated Cytoskeleton‐Associated protein) mediates synaptic plasticity by forming nanoscale assemblies in neurons. Using super‐resolution microscopy and time‐resolved anisotropy with targeted tagging, the study reveals low‐order ARC assemblies at synapses colocalizing with AMPARs, semi‐circular structures at endocytic zones, and 60–80 nm
Martina Damenti +13 more
wiley +1 more source
Mining Fuzzy Multiple-Level Association Rules from Quantitative Data
[[abstract]]Machine-learning and data-mining techniques have been developed to turn data into useful task-oriented knowledge. Most algorithms for mining association rules identify relationships among transactions using binary values and find rules at a ...
Lin, Kuei-Ying +2 more
core
The ER's continuous tubular network is maintained by ER‐shaping proteins whose mutation or dysregulation contributes to neurodegenerative diseases. Here, we show that ER morphology sets the speed of Ca2+ store replenishment between firing events. Disrupting ER continuity slows intra‐ER Ca2+ redistribution from extracellular refill (SOCE) sites, driving
Valentina Davi +13 more
wiley +1 more source
Fuzzy inferencing using single-antecedent fuzzy rules
The output of a fuzzy cognitive map (FCM) is the summation of the products of its individual input variables and their relative weights to each node. This additive nature is the main hindrance to the implementation of fuzzy theory in FCM, as conventional
Wong, K.W., Khan, M.S., Khor, S.W.
core
Creating Personalized Higher Education Teaching System Using Fuzzy Association Rule Mining
Universities and colleges aim to provide students with a solid academic foundation. Quality instruction is one strategy for achieving the highest possible standard in the higher education system.
Dezhi Li
doaj +1 more source
Mining Linguistic Associations for Emergent Flood Prediction Adjustment
Floods belong to the most hazardous natural disasters and their disaster management heavily relies on precise forecasts. These forecasts are provided by physical models based on differential equations. However, these models do depend on unreliable inputs
Michal Burda +2 more
doaj +1 more source
This study demonstrates that iron overload triggers widespread chromatin compaction and transcriptional repression in human granulosa cells, recapitulating features of endometriosis. The epigenetic reprogramming is orchestrated by a TFEB‐SOX4‐SWI/SNF axis, with SOX4 acting as a central, dosage‐sensitive regulator.
Feifei Li +15 more
wiley +1 more source
Fuzzy rule interpolation for multidimensional input space with petroleum engineering application
Fuzzy rule based systems have been very popular in many engineering applications. In petroleum engineering, fuzzy rules are normally constructed using some fuzzy rule extraction techniques to establish the petrophysical property prediction model. However,
Wong, K.W., Gedeon, T.D.
core
Malware traffic detection based on type II fuzzy recognition
In recent years, a surge in malicious network incidents and instances of network information theft has taken place, with malware identified as the primary culprit.
Weisha Zhang +4 more
doaj +1 more source
DNA Replication Errors Drive Genome‐Wide Small Inverted Triplication Dynamics
This study provides insight into the dynamic equilibrium mechanism of a novel structural variant, small inverted triplication (SIT), which is generated by misalignment of the 3’ flap generated under DNA replication stress with palindromic sequence. Alternatively, the end sequence may fold back on itself to form an inverted fragment.
Yi Lei +12 more
wiley +1 more source

