Results 201 to 210 of about 568,008 (286)

Experimental and design‐oriented research on fiber reinforced concrete segmental tunnel linings: A systematic review

open access: yesStructural Concrete, EarlyView.
Abstract The use of fiber reinforced concrete (FRC) in precast tunnel segments is among the most established and representative applications of this material. Over the past two decades, numerous tunnel linings were constructed with partial or total substitution of conventional steel reinforcement by fibers, this yielding to quantifiable benefits in ...
Vladimir Rusanov   +4 more
wiley   +1 more source

Micronuclei and Other Nuclear Abnormalities in Patella Limpet as Biomarkers of Cytogenotoxicity in Recreational Port Waters

open access: yesEnvironmental Toxicology, EarlyView.
ABSTRACT Over the past decades, the growth in human population and economic activities has led to an increase in maritime traffic. This rise puts additional pressure on marine environments, vessel fuel spills being considered to have a major impact on the ecosystem.
Carlos Valiente‐Diaz   +2 more
wiley   +1 more source

Nocturnal neighbors: exploring residents' perceptions of urban wildlife related to animal traits identified by camera traps and literature

open access: yesWildlife Biology, EarlyView.
Wildlife in urban areas is often a source of conflict, yet relatively few efforts have been directed toward fostering coexistence in these human‐dominated landscapes. While previous research has focused on socio‐demographic factors influencing perceptions of wildlife, the role of specific animal traits in shaping acceptance remains underexplored.
Simon S. Moesch   +3 more
wiley   +1 more source

Both forest cover and land management practices explain variation in recovering pine marten densities

open access: yesWildlife Biology, EarlyView.
Robust monitoring of wildlife populations to guide interventions is fundamental to conservation and wildlife management. Understanding how landscape characteristics are influencing predator population dynamics is often vital to inform recovery strategies, management, and policy. The pine marten Martes martes is recovering in the UK; however, population
Keziah J. Hobson   +6 more
wiley   +1 more source

N‐Heterocyclic Tetrylenes with a 1,1′‐Ferrocenylene Backbone and Bis(2,4,6‐triisopropylphenyl)boryl N‐Substituents

open access: yesZeitschrift für anorganische und allgemeine Chemie, EarlyView.
Ferrocene‐based N‐heterocyclic tetrylenes [Fe{(η5‐C5H4)NBTrip2}2E](E = GePb; Trip = C6H2‐2,4,6‐iPr3)exhibit long EN and short BN bonds, in agreement with increased electrophilicity due to the ‐M effect of the N‐substituents, whose stericdemand prevents coordination of 4‐(dimethylamino)pyridine (DMAP) to theplumbylene PbII atom, but allows the ...
Sneha Mullassery   +3 more
wiley   +1 more source

Graph neural network‐based attack prediction for communication‐based train control systems

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao   +3 more
wiley   +1 more source

Building Blocks as Experiences in Dynamic Capacitated Arc Routing Problems

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The dynamic capacitated arc routing problem (DCARP) aims to update the service paths of vehicles in the capacitated arc routing problem when uncertain factors deteriorate the current schedule of vehicles' services. A DCARP scenario comprises a series of DCARP instances that share similarities with each other. Therefore, optimisation experience
Hao Tong   +4 more
wiley   +1 more source

Towards Generalisable and Explainable Traffic Signal Control via Deep Reinforcement Learning and Large Language Models

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT As a government‐regulated public service, traffic signal control (TSC) requires reliable and transparent decision‐making. However, existing deep reinforcement learning (DRL) methods, despite improvements in control accuracy, still lack explainability and generalisation, severely limiting their applicability in real‐world environments.
Hao Huang   +8 more
wiley   +1 more source

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