Dynamics of thermal tolerance plasticity across fish species and life stages.

Climate warming with associated heat waves presents a concerning challenge for ectotherms such as fishes. During heatwaves, the ability to rapidly acclimate can be crucial for survival. However, surprisingly little is known about how different species and life stages vary in their acclimation dynamics, including the magnitude of change in thermal tolerance through acclimation (i.

4-Bromo-,'-di-phenyl-benzimidamide '-oxide.

The title compound, CHBrNO, crystallizes with two similar mol-ecules in the asymmetric unit. The extended structure features dimers linked by pairs of N-H⋯O and C-H⋯O hydrogen bonds. The HNCNO moiety of the title compound shows delocalization over the N-C-N part, as evidenced by the similar C-N bond distances.

Rare earth elements accumulation and patterns in abiotic and biotic compartments of a large river system influenced by natural and anthropogenic sources in Eastern Canada.

The mobilization of rare earth elements (REEs) in aquatic ecosystems is expected to rise significantly due to intensified exploitation, erosion, and climate change. As a result, more attention has been brought to study their environmental fate. However, our ability to assess contamination risks in freshwater organisms remains limited due to scarce data on the composition and accumulation of REEs.

Evaluating environmental, weather, and management influences for sustainable beekeeping in California and Quebec: Enhancing beehive survival predictions.

Concerned about declining managed honeybee populations in North America, this study employed the random survival forest (RSF) model to assess beehive mortality, considering 18 diverse environmental, weather, and management practices. Our analysis focused on 15,906 and 6,690 beehives in California state, United States, and Quebec province, Canada for 2023, respectively. The accuracy of the RSF model was assessed through three accuracy metrics, namely concordance index (C-index), integrated Brier score (IBS), and time-dependent area under the curve (AUC).

Programming the Kinetics of Chemical Communication: Induced Fit vs Conformational Selection.

Life on Earth depends on chemical communication and the ability of biomolecular switches to integrate various chemical signals that trigger their activation or deactivation over time scales ranging from microseconds to days. The ability to similarly program and control the kinetics of artificial switches would greatly assist the design and optimization of future chemical and nanotechnological systems. Two distinct structure-switching mechanisms are typically employed by biomolecular switches: induced fit (IF) and conformational selection (CS).

TPDYs: strained macrocyclic diynes for bioconjugation processes.

A terphenyl diyne (TPDY) macrocycle, 3,5-TPDY, has been developed incorporating a bent 1,3-diyne that is active in SPAAC processes affording atropoisomeric triazole products, as well as cycloadditions with diazoacetates and tetrazines. A pendant amine allowed bioconjugation of TPDY to two proteins in a microbial transglutaminase-catalyzed reaction. In contrast to many cycloalkyne SPAAC reagents, the TPDY stabilization occurs interactions of π and π* orbitals of the adjacent alkynes.

Anomalies in Hadronic B Decays.

In this Letter, we perform fits to B→PP decays, where B={B^{0},B^{+},B_{s}^{0}} and the pseudoscalar P={π,K}, under the assumption of flavor SU(3) symmetry [SU(3)_{F}]. Although the fits to ΔS=0 or ΔS=1 decays individually are good, the combined fit is very poor: there is a 3.6σ disagreement with the SU(3)_{F} limit of the standard model (SM_{SU(3)_{F}}).

Zwitterionic, cationic, and anionic PFAS in freshwater sediments from AFFF-impacted and non-impacted sites of Eastern Canada.

Zwitterionic, cationic, and anionic per- and polyfluoroalkyl substances (PFAS) were investigated in freshwater sediments of Canada, including sites impacted by aqueous film-forming foams (AFFFs). The first step of the project involved optimizing the extraction method with equilibrated sediment-water-AFFF samples. The analytical method had acceptable linearity, accuracy, and precision in the sediment matrix, and was further validated with NIST SRM 1936.

Effects of Biguanide-PROTACs in Pancreatic Cancer Cells.

This study focuses on the synthesis of Biguanide-PROTACs, formed by conjugating the biguanide motif with a spacer and a ligand for recognition subunits of two E3 ubiquitin ligases. Evaluation of their activity on pancreatic cancer cell (KP4) proliferation established a correlation between membrane permeability and median effective concentration. Mechanistic insights revealed that only two compounds exhibited biguanide-like AMPK activation, while only one hydrophobic compound uniquely altered mitochondrial protein levels.

A Phase II, Open-Label Study of Lenalidomide and Dexamethasone Followed by Donor Lymphocyte Infusions in Relapsed Multiple Myeloma Following Upfront Allogeneic Stem Cell Transplant.

Background: To date, the only potential curative treatment for multiple myeloma (MM) remains allogeneic (allo) hematopoietic cell transplant (HCT), although, most patients will eventually relapse. In relapsed patients, donor lymphocyte infusions (DLIs) have been reported to control disease, but the optimal strategy prior to and doses of DLIs remain unclear. With this study (NCT03413800), we aimed to investigate the efficacy and toxicity of lenalidomide and dexamethasome (Len/Dex) followed by escalating pre-determined doses of DLIs in MM patients who relapsed after allo HCT.

Dual virtual non-contrast imaging: a Bayesian quantitative approach to determine radiotherapy quantities from contrast-enhanced DECT images.

Contrast agents in computed tomography (CT) scans can compromise the accuracy of dose calculations in radiation therapy planning, especially for particle therapy. This often requires an additional non-contrast CT scan, increasing radiation exposure and introducing potential registration errors. Our goal is to resolve these issues by accurately estimating radiotherapy parameters from dual virtual non-contrast (dual-VNC) images generated by contrast-enhanced dual-energy CT (DECT) scans, while accounting for noise and variability in tissue composition.

Wild capuchin monkeys as a model system for investigating the social and ecological determinants of ageing.

Studying biological ageing in animal models can circumvent some of the confounds exhibited by studies of human ageing. Ageing research in non-human primates has provided invaluable insights into human lifespan and healthspan. Yet data on patterns of ageing from wild primates remain relatively scarce, centred around a few populations of catarrhine species.

Noise-Induced Quantum Synchronization and Entanglement in a Quantum Analogue of Huygens' Clock.

We propose a quantum analogue of the Huygens clock, where the phases of two spins synchronize through their interaction with a shared environment. This environment acts like the escapement mechanism in a mechanical clock, regulating the gear train and allowing discrete timing advances. In our model, the relative phases of the two spins synchronize via a mutually correlated environment.

Cholesterol-Supported Liquid-Phase Synthesis of Betaines and Organic Cations without Chromatography.

Cholesterol was explored as a support for liquid-phase synthesis. Without the need for chromatography, the cholesterol-supported liquid-phase approach gave access to diverse betaines possessing chiral ammonium, phosphonium, and sulfonium ions. The cholesterol-supported method was further demonstrated by the synthesis of cationic amides and hydrazides.

Azatriangulene-Based Conductive C═C Linked Covalent Organic Frameworks with Near-Infrared Emission.

Two near-infrared (NIR) emissive π-conjugated covalent organic frameworks (COFs) pTANG1 and pTANG2 are synthesized using Knoevenagel condensation of trioxaazatriangulenetricarbaldehyde (TATANG) with benzene- and biphenyldiacetonitriles, respectively. The morphology of the COFs is affected by the size of TATANG precursor crystals. Donor-acceptor interactions in these COFs result in small bandgaps (≈1.

Pseudogymnoascus destructans invasion stage impacts the skin microbial functions of highly vulnerable Myotis lucifugus.

The role of the skin microbiome in resistance and susceptibility of wildlife to fungal pathogens has been examined from a taxonomic perspective but skin microbial function, in the context of fungal infection, has yet to be studied. Our objective was to understand effects of a bat fungal pathogen site infection status and course of invasion on skin microbial function. We sampled seven hibernating colonies of Myotis lucifugus covering three-time points over the course of Pseudogymnoascus destructans (Pd) invasion and white nose syndrome (pre-invasion, epidemic, and established).

Gaining Insight into Mitochondrial Targeting: AUTAC-Biguanide as an Anticancer Agent.

AUTAC-Biguanide is a hybrid compound designed to target mitochondria, inducing their degradation by mitophagy. This study unveils the potential of biguanides as cancer cell-targeting agents, emphasizing AUTAC-Biguanide's superior antiproliferative properties compared to metformin and its selectivity for cancer cells. The mechanism behind this heightened effect includes the ability of AUTAC-Biguanide to trigger mitophagy.

From data to harvest: Leveraging ensemble machine learning for enhanced crop yield predictions across Canada amidst climate change.

Accurate crop yield predictions are crucial for farmers and policymakers. Despite the widespread use of ensemble machine learning (ML) models in computer science, their application in crop yield prediction remains relatively underexplored. This study, conducted in Canada, aims to assess the potential of five distinct ensemble ML models-Adaptive Boosting (AdaBoost), Gradient Boosting Machine (GBM), XGBoost, LightGBM, and Random Forest (RF)-in predicting crop yields chosen for their ability to manage complex datasets and their strong performance potential.

Diffusion and pattern formation in spatial games.

Diffusion plays an important role in a wide variety of phenomena, from bacterial quorum sensing to the dynamics of traffic flow. While it generally tends to level out gradients and inhomogeneities, diffusion has nonetheless been shown to promote pattern formation in certain classes of systems. Formation of stable structures often serves as a key factor in promoting the emergence and persistence of cooperative behavior in otherwise competitive environments, however, an in-depth analysis on the impact of diffusion on such systems is lacking.

Risk quick sketch: Soil captured most anatoxin-a and microcystin-RR rather than cylindrospermopsin and microcystin-LA/-LY.

Cyanobacteria proliferate in warm, nutrient-rich environments and release toxic secondary metabolites into natural waters. Using cyanotoxin-contaminated water to irrigate crops could expose humans and biota, but the risk may be low if agricultural soils can sorb and retain cyanotoxins. In this report, we compared the sorption and desorption capacities of multi-class cyanotoxins/anabaenopeptins in soils of variable properties with a batch sorption procedure.

Mapping the Future: Revealing Habitat Preferences and Patterns of the Endangered Chilean Dolphin in Seno Skyring, Patagonia.

Species distribution modeling helps understand how environmental factors influence species distribution, creating profiles to predict presence in unexplored areas and assess ecological impacts. This study examined the habitat use and population ecology of the Chilean dolphin in Seno Skyring, Chilean Patagonia. We used three models-random forest (RF), generalized linear model (GLM), and artificial neural network (ANN)-to predict dolphin distribution based on environmental and biotic data like water temperature, salinity, and fish farm density.

Spatial food webs in the Barents Sea: atlantification and the reorganization of the trophic structure.

Climate change affects ecosystems at several levels: by altering the spatial distribution of individual species, by locally rewiring interspecific interactions, and by reorganizing trophic networks at larger scales. The dynamics of marine food webs are becoming more and more sensitive to spatial processes and connections in the seascape. As a case study, we study the atlantification of the Barents Sea: we compare spatio-temporal subsystems at three levels: the identity of key organisms, critically important interactions and the entire food web.

Spatially explicit predictions of food web structure from regional-level data.

Knowledge about how ecological networks vary across global scales is currently limited given the complexity of acquiring repeated spatial data for species interactions. Yet, recent developments in metawebs highlight efficient ways to first document possible interactions within regional species pools. Downscaling metawebs towards local network predictions is a promising approach to using the current data to investigate the variation of networks across space.