Results 151 to 160 of about 53,139 (283)

Teaching New Religious Movements Historically: Distance, Empathy, and Cults in the Classroom

Teaching Theology &Religion, EarlyView.
ABSTRACT Resistance to understanding the beliefs of modern New Religious Movements (NRMs) is well‐known to those who teach in the area. This paper builds on Eugene Gallagher's repurposing of “methodological belief” for college classes on NRMs by suggesting that scholars and teachers in the field of religious studies engage methods and content drawn ...
Douglas FitzHenry Jones
wiley   +1 more source

Latency-aware attitude control of underactuated quadrotor UAVs using barrier Lyapunov and fuzzy Padé approximation. [PDF]

Sci Rep
Abro GEM, Memon SA, Hoshu AA, Saeed N.
europepmc   +1 more source

The Lateral Control of Unmanned Vehicles Based on Neural Network Identification and a Fast Tube Model Predictive Control Algorithm. [PDF]

Sensors (Basel)
Dai Y, Zhou Z.
europepmc   +1 more source

Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha, Phillip D. Alderman, Grishma Ojha, Brett F. Carver   +3 more
wiley   +1 more source

Learning-aided observer design for improving autonomous vehicle safety. [PDF]

Sci Rep
Mihály A, Németh B, Kopasz M, Gáspár P, Szauter F.   +4 more
europepmc   +1 more source

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

Applied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang, Alberto Acuto, Yihang Zhou, Dominik Wojtczak   +3 more
wiley   +1 more source

Disturbance-tolerant quadrotor control using a hybrid LQR and super-twisting sliding mode approach. [PDF]

Sci Rep
Budak S, Sungur C, Durdu A.
europepmc   +1 more source

Beyond mammals: the evolution of chewing and other forms of oropharyngeal food processing in vertebrates

Biological Reviews, Volume 101, Issue 3, Page 1406-1462, June 2026.
ABSTRACT Oropharyngeal food processing exhibits a remarkable diversity among vertebrates, reflecting the evolution of specialised ‘processing centres’ associated with the mandibular, hyoid, and branchial arches. Although studies have detailed various food‐processing strategies and mechanisms across vertebrates, a coherent and comprehensive terminology ...
Daniel Schwarz, Maja Mielke, Stephan Handschuh, Anthony Herrel, Patrick Lemell, Léa Da Cunha, Nicolai Konow   +6 more
wiley   +1 more source

Multi-Objective Grey Wolf Optimizer-Tuned LQR Attitude Control of a Three-DOF Hover System. [PDF]

Biomimetics (Basel)
Çakan A.
europepmc   +1 more source

Biomechanics and Evolution of the Primate Tongue

Evolutionary Anthropology: Issues, News, and Reviews, Volume 35, Issue 2, June 2026.
ABSTRACT Primate tongue morphology and function are critical to understanding the evolution of feeding, swallowing, and vocalization. In this paper, we examine the primate tongue as a muscular hydrostat with regionally specialized neuromuscular compartments. We integrate anatomical, kinematic, and biomechanical modeling approaches to analyze how muscle
Yeganeh Sekhavati, Kaleb C. Sellers, Callum F. Ross   +2 more
wiley   +1 more source