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The Bug-Network (BugNet): A Global Experimental Network Testing the Effects of Invertebrate Herbivores and Fungal Pathogens on Plant Communities and Ecosystem Function in Open Ecosystems

Author(s): Kempel A; Adamidis GC; Anadón JD; Atkinson J; Auge H; Avtzis D; Bachelot B; Bashirzadeh M; Bota JL; Classen A; Constantinou I; Crawley M; de Bellis T; Dostal P; Ebeling A; Eisenhauer N; Eldridge DJ; Encina G; Estrada C; Everingham S; Fan ...

Plants are consumed by a variety of organisms, including herbivores and pathogens, which significantly impact plant biomass, diversity, community composition, and ecosystem functioning. While the impacts of vertebrate herbivores are well established, the effects of consumer groups such as insect ...

Article GUID: 41080499


Cerebral small vessel disease lesion segmentation methods: A systematic review

Author(s): Phelps J; Singh M; McCreary CR; Dallaire-Théroux C; Stein RG; Potvin-Jutras Z; Guan DX; Wu JD; Metz A; Smith EE;

Cerebral small vessel disease (CSVD) can manifest as brain lesions visible on magnetic resonance imaging, including white matter hyperintensities (WMH), cerebral microbleeds (CMB), perivascular spaces (PVS), lacunes, and recent small subcortical infarcts (RSSI). Detection and segmentation of thes ...

Article GUID: 41080650


Mapping the distribution of contaminants identified by non-targeted screening of passively sampled urban air

Author(s): Liu L; Gillet AP; Akiki C; Tian L; Ma Y; Zhang X; Bowman DT; Wania F; Delbès G; Apparicio P; Bayen S;

Air pollution is closely associated with increased lung cancer incidence and mortality. Because many semi-volatile industrial chemicals, pesticides and combustion by-products are endocrine-disrupting or genotoxic, their mixtures in outdoor urban air, even at trace levels, could have cumulative ef ...

Article GUID: 41033295


Auditory Training for Everyday Functioning in Later Life

Author(s): Li KZH; Campos J; Pichora-Fuller MK;

Following from the World Health Organization's consideration of multiple systems (e.g., sensory, motor, and cognitive) in defining healthy aging, this study presents a review of research on training that has the primary goal of improving complex multitasking outcomes that approximate the everyday contexts in which hearing is important, whether or not ...

Article GUID: 41036263


Single-Atom Catalyst with Optimized Ni Content in a Flexible Zn-Air Battery Operated at a Wide Temperature Range

Author(s): Coello-Mauleón C; Ramos-Castillo CM; Arredondo-Espínola A; Álvarez-Contreras L; Guerra-Balcázar M; Chen N; Deng S; Arjona N;

Flexible and safe energy storage systems are critical for the advancement of wearable and portable electronics. Although lithium-ion batteries dominate the market, their reliance on flammable electrolytes and rigid structures limits their use in flexible applications. Herein, we report the develo ...

Article GUID: 41003649


Prevalence and characteristics of neuropathic pain in adolescent survivors of childhood cancer

Author(s): Mesaroli G; Olaizola S; Nair A; Nishat F; Pizzo A; Nathan PC; Alberts NM; Stinson JN;

Purpose: Neuropathic pain (NP) in individuals with cancer can arise from the cancer itself or its treatments. The prevalence of NP has been estimated in children living with cancer; however, the prevalence in adolescent survivorship is unknown. The aims of this study were to estimate the prevalence of NP among adolescent survivors of childhood cancer and ...

Article GUID: 40999274


Synergistic effects of exercise, cognitive training and vitamin D on gait performance and falls in mild cognitive impairment-secondary outcomes from the SYNERGIC trial

Author(s): Pieruccini-Faria F; Son S; Zou G; Almeida QJ; Middleton LE; Bray NW; Lussier M; Shoemaker JK; Speechley M; Liu-Ambrose T; Burhan AM; Camicioli R; Li KZH; Fraser S; Berryman N; Bherer L; Montero-Odasso M;

Background: Older adults with mild cognitive impairment (MCI) have a higher risk of gait impairments and falls; yet, the effects of multimodal interventions, including combinations of exercises with cognitive training, on improving their mobility remain unclear. Objectives: To investigate the sy ...

Article GUID: 40966614


Distributed adaptive fault-tolerant cooperative control for fixed-wing UAVs with actuator faults and input constraints

Author(s): Fu M; Yu Z; Zhang Y;

This paper proposes a distributed fault-tolerant cooperative control framework for multiple fixed-wing UAVs (FUAVs), grounded on a complete six-degrees-of-freedom (6-DOF) nonlinear dynamic model. The architecture integrates position and attitude control, explicitly accounting for actuator faults and multiple input constraints. In the outer loop, an adapti ...

Article GUID: 40946062


The predictive role of olfactory identification on episodic memory and mild cognitive impairment: Results from the CIMA-Q cohort

Author(s): Jobin B; Phillips NA; Frasnelli J; Boller B;

BackgroundOlfactory identification decline is a known early marker of Alzheimer's disease and is already present at the mild cognitive impairment (MCI) stage. While being linked with episodic memory, its predictive value for cognitive performance and distinguishing between clinical stages remains unclear.ObjectiveThis study examined (1) the predictive ...

Article GUID: 40944318


Assessing in silico tools for accurate pathogenicity prediction in CHD nucleosome remodelers

Author(s): Rabouhi N; Guindon S; Coleman EA; van Heesbeen HJ; Greenwood CMT; Lu T; Campeau PM;

Chromodomain Helicase DNA-binding (CHD) proteins compose a family of chromatin remodelers that play crucial roles in DNA repair and gene expression regulation, neural stem cell differentiation and chromatin integrity. Genetic variants in CHD chromatin remodelers are associated with neurodevelopmental disorders with features like autism spectrum disorder a ...

Article GUID: 40907936


A novel span and syntax enhanced large language model based framework for fine-grained sentiment analysis

Author(s): Zou H; Wang Y; Huang A;

Fine-grained aspect-based sentiment analysis requires language models to identify aspect entities and the corresponding sentiment information in the input text content. Transformer-based pre-trained large language models have demonstrated remarkable performance on various challenging natural language processing tasks. However, large language models face l ...

Article GUID: 40876298


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