Response Behavior Research Articles

Revealing the Response of Structure and Decomposition Behaviors of 1, 1′‐Azobis‐1, 2, 3‐Triazole to Pressure: A Theoretical Study

ABSTRACT1, 1′‐azobis‐1, 2, 3‐triazole (C4H4N8, N8) is a novel nitrogen‐rich energetic material with excellent detonation performance, which has received widespread interest. Inspired by recent theories and experiments, the dependence of structural, vibrational, and electronic properties on high pressure up to 10 GPa was systematically investigated using periodic DFT calculations. It was found that the optimized structure belonged to the cis‐N8 structure through comparing the theoretical IR with experimental IR spectra. The third‐order Birch–Murnaghan equation of state for N8 was obtained up to 10 GPa, where the bulk modulus and its pressure derivative were 10.91 GPa and 7.689, respectively. More importantly, the pressure dependence of Laplacian bond order indicated that the five‐membered ring opening was the first step in the decomposition process, and that high pressure could inhibit the decomposition process of N8 due to the reinforcement of non‐covalent interactions. The present work could deepen the understanding of the energetic materials N8 under high pressure, and is of great significance to the blasting and detonation applications of N8.

Effects of FOLFOX Chemotherapy on Tumor Oxygenation and Perfused Vasculature: An InVivo Study by OpticalTechniques.

The effects of cytotoxic chemotherapy on tumor vasculature and oxygenation are in the focus of modern investigations becausevascular structure and distribution of oxygen influence tumor behavior and treatment response. The aim of ourstudywas to monitor changes in the vascular component of colorectal tumor xenografts induced by a clinical combination of chemotherapy drugs FOLFOX invivo using two complementary techniques: diffuse reflectance spectroscopy (DRS) and optical coherence tomography-based microangiography (OCT-MA). These techniques revealed a slower decrease in tumor blood oxygenation in treated tumors as compared to untreated ones, faster suppression of tumor vasculature perfusion and increase in water content as a result of treatment, and decrease in total hemoglobin in untreated tumors. Immunohistochemical analysis of hypoxia-inducible factor HIF-2α detected tissue hypoxia as a consequence of inappropriate oxygen supply in the treated tumors. The obtained results show the prospects for monitoring of treatment efficacy using DRS and OCT-MA.

Emerging MRI Biomarkers for Prognostication in Rectal Cancer

Abstract: Rectal cancer is a significant health concern with substantial morbidity and mortality rates. Magnetic Resonance Imaging (MRI) plays a crucial role in the diagnosis and management of rectal cancer, providing detailed anatomical and functional information. However, traditional MRI techniques have limitations in prognosticating tumor behavior and treatment response. The study emphasizes the importance of emerging techniques such as Diffusion-Weighted Imaging (DWI), mrDEC scoring system, Dynamic Contrast-Enhanced MRI (DCE-MRI), Radiomics, and Machine Learning. By examining recent research and clinical trials, we aim to offer a comprehensive overview of the current landscape, challenges, and future directions associated with the incorporation of these MRI biomarkers in predicting outcomes for rectal cancer patients. This review paper aims to provide an overview of the emerging MRI biomarkers that hold the potential for prognostication of rectal cancer.

Meloidogyne incognita genes involved in the repellent behavior in response to ascr#9

Meloidogyne incognita is one of the globally serious plant parasitic nematodes. New control measure is urgently needed to replace the common chemical control method. Ascarosides are pheromones regulating the nematodes’ aggregation, avoidance, mating, dispersal and dauer recovery and formation. Ascr#9, one of the ascarosides, exhibits the potential to repel M. incognita. However, the nematode genes involved in the perception of ascr# 9 signal are totally unknown. In this study, the transcriptome of ascr#9-treated second stage M. incognita juveniles (J2s) was analyzed, 44 pathways were significantly affected, multiple ligand-receptor and mucin type O-glycan were induced, and olfactory transduction was disturbed. A total of 11 highly differentially expressed genes involved in neuroactive ligand-receptor interaction and FMRFamide-like peptide related process were identified and knocked down by RNAi. The dispersal rates of M. incognita with three knocked-down genes (flp-14, mgl-1 and ADOR-1) significantly decreased, respectively, when ascr#9 was present. The results demonstrate that flp-14, mgl-1, and ADOR-1 are involved in the dispersal behavior of M. incognita nematodes responding to ascr#9, which promotes the interaction study between ascarosides and M. incognita, and provides new ideas for the prevention and control of M. incognita by using pheromone ascarosides.

Incumbent responses to anticipated discontinuous regulatory change: The case of Scope 3 CO2 reporting in the European steel industry

Regulatory change can be highly discontinuous for organizations. Yet, despite the vast discontinuous change and institutionalism literatures, our understanding of incumbent behavior in response to anticipated discontinuous regulatory change is limited. To address this issue, we conducted a qualitative analysis in the European steel industry, which is facing prospective discontinuous regulatory change on Scope 3 reporting. Our findings offer new insights into this understudied field by elaborating on incumbents' expectations for the future, their ensuing motivations, and their taken or planned actions. We find evidence for heterogenous adaptation behavior that manifests in three motivational patterns: Incentives for early movers, reasons for hesitation, and disincentives preventing implementation. These patterns are a result of incumbents’ varying expectations of future circumstances, opportunities, and risks, and they lead to different actions incumbents plan or take in response to the anticipated change. Our study contributes to the theoretical understanding of regulatory change as a distinct form of discontinuous change, sheds light on incumbent behavior at an early stage of a discontinuous change prior to its actual occurrence, and highlights that adaptation to a discontinuous regulatory change can have both positive and negative effects on incumbents. Our process model enables practitioners to make more informed decisions in the context of discontinuous regulatory change and policymakers may use our findings to improve the regulatory design process and subsequent compliance. Finally, our study opens up numerous pathways for future research.

Assessing the non-linear impact of fiscal balance on current account balance in major SAARC economies: evidence from method of moments quantile regression

PurposeIn the backdrop of persistent internal and external imbalances, the nexus between fiscal imbalance and current account imbalance remains a subject of debate among economists, policymakers, research scholars and governmental organisations. Nevertheless, there is no definitive consensus, either theoretical or empirical, especially within the SAARC region. This evident lack of unequivocal solid agreement underscores the pressing necessity for further empirical inquiry into the twin deficits hypothesis. In this regard, the present study makes a novel attempt to re-examine the twin deficits hypothesis for major SAARC economies in a non-linear fashion using a balanced data set from 1985 to 2021.Design/methodology/approachIn our empirical analysis, we addressed several methodological challenges in examining the relationship between fiscal balance and current account balance. Initially, we tackled cross-section dependency, heterogeneous slope coefficients and non-stationarity issues. We employed the panel Fourier unit root test by Nazlioglu and Karul to detect smooth breaks and non-linearity. Long-run cointegration was assessed using novel third-generation cointegration tests introduced by Westerlund and Edgerton (2008) and Banerjee and Carrion-i-Silvestre (2017). The non-linear dynamics were examined using the method of moments quantile regression (MMQR). Finally, to investigate the causal relationship between fiscal deficit and current account deficit within a panel framework, we employed the novel JKS test.FindingsThe MMQR analysis reveals that the fiscal balance has a positive and significant impact on the current account balance across all quantiles except the lower quantiles (first to third). The magnitude of the coefficient for fiscal balance increases from lower to higher quantiles, suggesting that countries with lower fiscal deficits manage their current account balances more efficiently. Likewise, a positive and significant impact of the saving-investment balance on the current account balance is observed across all quantiles, with the coefficient decreasing as quantiles increase. This indicates that a wider saving-investment gap leads to a more pronounced deterioration in the current account balance. The exchange rate also significantly influences the relationship, highlighting a strong exchange rate channel in transmitting fiscal policy shocks to the current account balance. These findings are corroborated by robustness checks using fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) estimators. The JKS causality test confirms the bi-directional causality between fiscal and current account balances, further validating the results.Practical implicationsOur study has profound policy implications, suggesting that the “size” of fiscal deficit significantly impacts external balances and broader macroeconomic goals in SAARC economies. Policymakers are urged to implement prudent fiscal policies, enhance revenue generation, and promote fiscal discipline to achieve economic stability and sustainability. Minimising unproductive consumer spending and improving tax collections are also recommended to manage external imbalances effectively. Our research offers valuable insights for policymakers and researchers striving to foster sustainable economic development in the SAARC region.Originality/valueMost macroeconomic variables do not always behave symmetrically and linearly. As a result, it is likely that these variables exhibit asymmetric and non-linear behaviour in response to cyclical and structural changes. Therefore, employing asymmetric and non-linear econometric approaches, rather than the usual symmetrical analysis, to understand the behaviour of the current account and fiscal balance in SAARC economies is rational. Existing empirical studies predominantly focus on the twin deficits hypothesis, neglecting the influence of the saving-investment balance on both fiscal and current account balances. Our research aims to fill this gap by integrating the saving-investment balance into the twin deficits model, thus providing a pioneering analysis that expands our understanding of the relationship between internal and external imbalances. The methodological novelty of our study lies in the fact that this is the first study, at least in the SAARC region, to investigate the non-linear dynamics and causality direction in the twin deficits hypothesis using the MMQR and the JKS causality test.

The impact of voluntary wheel-running exercise on hippocampal neurogenesis and behaviours in response to nicotine cessation in rats.

The literature indicates that nicotine exposure or its discontinuation impair adult hippocampal neurogenesis in rats, though the impact of exercise on this process remains unclear. We have previously shown that disturbances in the number of doublecortin (DCX, a marker of immature neurons)-positive (DCX+) cells in the dentate gyrus (DG) of the hippocampus during nicotine deprivation may contribute to a depression-like state in rats. This study aimed to investigate the effect of running on hippocampal neurogenesis, depression-like symptoms, and drug-seeking behaviour during nicotine deprivation. The rats were subjected to nicotine (0.03mg/kg/inf) self-administration via an increasing schedule of reinforcement. After 21 sessions, the animals entered a 14-day abstinence phase during which they were housed in either standard home cages without wheels, cages equipped with running wheels, or cages with locked wheels. Wheel running increased the number of Ki-67+ and DCX+ cells in the DG of both nicotine-deprived and nicotine-naive rats. Wheel-running exercise evoked an antidepressant effect on abstinence Day 14 but had no effect on nicotine-seeking behaviour on abstinence Day 15 compared to rats with locked-wheel access. In summary, long-term wheel running positively affected the number of immature neurons in the hippocampus, which corresponded with an antidepressant response in nicotine-weaned rats. One possible mechanism underlying the positive effect of running on the affective state during nicotine cessation may be the reduction in deficits in DCX+ cells in the hippocampus.

Flowing Liquid Crystal Torons Around Obstacles

Liquid crystal torons, localized topological structures, are known for their stability and dynamic behaviour in response to external stimuli, making them attractive for advanced material applications. In this study, we investigate the flow of torons in chiral nematic liquid crystals around obstacles. We simulate the fluid flow and director field interactions using a hybrid numerical method combining lattice Boltzmann and finite difference techniques. Our results reveal that the toron dynamical behaviour depends strongly on the impact parameter from the obstacle. At impact parameters smaller than half cholesteric pitch, the flowing toron is destabilized by the interaction with the obstacle; otherwise, the flowing toron follows a trajectory with a deflection which decays exponentially with the impact parameter. Additionally, we explore the scattering of torons by multiple obstacles, providing insights into how the dynamics of these structures respond to complex environments.

Heterostructure of Hydrogen‐Bonded Organic Frameworks for White Light Emission and Information Encryption

AbstractTwo dumbbell‐shaped building blocks (TMB and TMBT), featuring methyl benzoate groups as hydrogen bond units, are selected to construct heterostructures of HOFs, aiming to achieve multiple functions including white luminescence, stimulus‐response behavior, as well as application in information encryption. TMB molecules are self‐assembled to form a flexible HOF (X‐HOF‐8) in p‐xylene, containing solvent channels and blue fluorescence. Upon removal of guests, it can transform into a nonporous crystal with gray fluorescence. In contrast, TMBT forms a guest‐free HOF (X‐HOF‐9) displaying orange fluorescence. They could form bulk heterojunction (BHJ) HOFs with energy transfer from TMB to TMBT, exhibiting composition‐dependent fluorescent color. Notably, white emission can be achieved in BHJ HOFs and can be converted to gray fluorescence upon guest removal; subsequently, white fluorescence is restored upon re‐capturing guests. Furthermore, rod‐like triblock heterojunction (THJ) HOFs can also be constructed, which exhibit regulatory behavior in response to gaining or losing guests. The unique luminescent characteristics and stimulus responsiveness of these HOFs make them an excellent platform for applications in anticounterfeit. This represents the pioneering achievement of white light emission in a BHJ HOF, as well as the groundbreaking realization of a THJ HOF with remarkable exciting response characteristics.

Multi-Sensor Soil Probe and Machine Learning Modeling for Predicting Soil Properties.

We present a data-driven, in situ proximal multi-sensor digital soil mapping approach to develop digital twins for multiple agricultural fields. A novel Digital Soil CoreTM (DSC) Probe was engineered that contains seven sensors, each of a distinct modality, including sleeve friction, tip force, dielectric permittivity, electrical resistivity, soil imagery, acoustics, and visible and near-infrared spectroscopy. The DSC System integrates the DSC Probe, DSC software (v2023.10), and deployment equipment components to sense soil characteristics at a high vertical spatial resolution (mm scale) along in situ soil profiles up to a depth of 120 cm in about 60 s. The DSC Probe in situ proximal data are harmonized into a data cube providing vertical high-density knowledge associated with physical-chemical-biological soil conditions. In contrast, conventional ex situ soil samples derived from soil cores, soil pits, or surface samples analyzed using laboratory and other methods are bound by a substantially coarser spatial resolution and multiple compounding errors. Our objective was to investigate the effects of the mismatched scale between high-resolution in situ proximal sensor data and coarser-resolution ex situ soil laboratory measurements to develop soil prediction models. Our study was conducted in central California soil in almond orchards. We collected DSC sensor data and spatially co-located soil cores that were sliced into narrow layers for laboratory-based soil measurements. Partial Least Squares Regression (PLSR) cross-validation was used to compare the results of testing four data integration methods. Method A reduced the high-resolution sensor data to discrete values paired with layer-based soil laboratory measurements. Method B used stochastic distributions of sensor data paired with layer-based soil laboratory measurements. Method C allocated the same soil analytical data to each one of the high-resolution multi-sensor data within a soil layer. Method D linked the high-density multi-sensor soil data directly to crop responses (crop performance and behavior metrics), bypassing costly laboratory soil analysis. Overall, the soil models derived from Method C outperformed Methods A and B. Soil predictions derived using Method D were the most cost-effective for directly assessing soil-crop relationships, making this method well suited for industrial-scale precision agriculture applications.

Narrow Margins and Misinformation: The Impact of Sharing Fake News in Close Contests

This study investigates the impact of candidates disseminating fake news on voter behavior and electoral outcomes in highly competitive, partisan races. While the effects of fake news on electoral outcomes have been studied, research has yet to examine the impact of candidates’ strategic use of fake news in elections where it may have the greatest impact—close races. This research explores whether the use of fake news influences voter support, particularly among independent voters, in tightly contested elections. Through a conjoint survey experiment involving participants from Amazon MTurk, this study analyzes how variables such as race competitiveness, perceived risk of alienating independents, and the presence of partisan labels affect voter responses to candidates who spread misinformation. The findings indicate that while the competitiveness of a race does not significantly enhance support for candidates sharing fake news, the presence of partisan labels does. These results suggest that voter behavior in response to fake news is more closely tied to partisan identity than to strategic electoral considerations. This study highlights the complex dynamics of misinformation in electoral contexts and its implications for democratic processes.

How Do Alternative Gendered Linguistic Forms Affect Response Behavior in Surveys?

Using masculine forms in surveys is still common practice, with researchers presumably assuming they operate in a generic way. However, the generic masculine has been found to lead to male-biased representations in various contexts. This article studies the effects of alternative gendered linguistic forms in surveys. The language forms are evaluated on three dimensions: comparability, response behavior, and response effort. The results suggest that, compared to masculine-only forms, the use of gender-fair forms does not impair comparability and does not result in detrimental response behavior for most items.

Spatiotemporal responses of ungulates to hunting in a fenced multi-use area

Context Human activities, such as tourism and hunting, affect the spatiotemporal behaviour of wildlife. For example, it is well documented that ungulates change their spatiotemporal behaviour as a response to hunting pressure, but less is known about ungulate responses to hunting in areas where human activity is common throughout the year and ungulates are constrained by fences. Aims In this camera-trap study, we analysed the change in spatiotemporal behaviour of wild ungulates (elk, Cervus canadensis (3519 events), moose, Alces alces (1153 events), and white-tailed deer, Odocoileus virginianus (2708 events)) in response to the hunting period in a recreational and fenced park, the Cooking Lake–Blackfoot Provincial Area, Canada. Methods We used general linear models to compare species-specific patterns of intensity of use, calculated as events per week, in response to changes in the nature of human disturbance, namely a shift from recreation to hunting activity. In particular, we compared intensity of use in and out of the hunting season to determine whether species engaged in spatial patterns of avoidance with respect to hunting. We used daily and seasonal patterns of activity to determine how ungulates shifted their temporal use in response to hunting activity and whether they became more nocturnal as a result. Key results We found that ungulates responded temporally to the hunting period by generally shifting their activity to more nocturnal hours, with white-tailed deer showing the biggest temporal shift, suggesting that the ungulates distinguish between consumptive and non-consumptive human activities. Nevertheless, temporal overlap between humans and all ungulate species increased during the hunting period as humans targeted times of increased ungulate activity. Spatially, the response was less distinctive and was species-specific. Elk showed little change in spatial behaviour in response to the hunting period. In contrast, moose decreased the use of trail areas and other areas frequented by humans, whereas deer, counterintuitively, increased the use of trail areas, albeit their use became much more nocturnal. Conclusions We have shown that responses of ungulates to hunting exceed those to non-consumptive recreational use, and whereas temporal responses (increased nocturnality) were consistent across ungulate species, spatial responses were species-specific. Implications Management in small fenced multi-use areas needs to account for shifts in the intensity of disturbance resulting from a change in human disturbance from recreational activity to hunting. Providing spatial opportunities for avoidance of humans is key for most species if hours of operation in these areas already limit the timing of human activity.

Supporting young people through the COVID-19 pandemic and beyond: a multi-site qualitative longitudinal study

BackgroundThroughout the COVID-19 pandemic, youth have experienced substantial stress due to abrupt changes in education, finances, and social life, compounding pre-existing stressors. With youth (ages 15–26) often at critical points in development, they are vulnerable to long-term mental health challenges brought on by pandemic trauma.MethodsTo identify youth experiences throughout the pandemic and examine changes over time, we conducted semi-structured interviews among n = 141 youth in two Canadian provinces (Ontario and British Columbia) and across the country of Ireland at three time points over the course of more than one year (August 2020-October 2021). We conducted a qualitative longitudinal analysis using an inductive content approach.ResultsCategories identified were (1) coping with hardship; (2) opportunities for growth; (3) adapting to new ways of accessing services; (4) mixed views on the pandemic: attitudes, behaviour, and perception of policy response; (5) navigating COVID-19 information; (6) transitioning to life after the pandemic; and (7) youth-led recommendations for government and service response. The findings also reveal trends in health and wellness in accordance with prolonged periods of lockdown, changes in weather, and return to normalcy after the availability of COVID-19 vaccines. Key recommendations from youth include incorporating youth voice into decision making, communicating public health information effectively to youth, enhancing service delivery post-pandemic, and planning for future pandemics.ConclusionsThese results provide insights into the extensive longitudinal impacts of the COVID-19 pandemic on young people across three geographical locations. Actively involving youth in decision making roles for future pandemics or public health emergencies is critical.

HTL/KAI2 signaling substitutes for light to control plant germination.

Plants monitor multiple environmental cues, such as light and temperature, to ensure they germinate at the right time and place. Some specialist plants, like ephemeral fire-following weeds and root parasitic plants, germinate primarily in response to small molecules found in specific environments. Although these species come from distinct clades, they use the same HYPOSENSITIVE TO LIGHT/KARRIKIN INSENSITIVE 2 (HTL/KAI2) signaling pathway, to perceive different small molecules suggesting convergent evolution on this pathway. Here, we show that HTL/KAI2 signaling in Arabidopsis thaliana bypasses the light requirement for germination. The HTL/KAI2 downstream component, SUPPRESSOR OF MAX2 1 (SMAX1) accumulates in the dark and is necessary for PHYTOCHROME INTERACTING FACTOR 1/PHYTOCHROME INTERACTING FACTOR 3-LIKE 5 (PIF1/PIL5) to regulate hormone response pathways conducive to germination. The interaction of HTL/KAI2 and light signaling may help to explain how specialist plants like ephemeral and parasitic weeds evolved their germination behaviour in response to specific environments.

AMRColab - a user-friendly antimicrobial resistance detection and visualization tool.

Antimicrobial resistance (AMR) poses a significant threat to global public health, with the potential to cause millions of deaths annually by 2050. Effective surveillance of AMR pathogens is crucial for monitoring and predicting their behaviour in response to antibiotics. However, many public health professionals lack the necessary bioinformatics skills and resources to analyse pathogen genomes effectively. To address this challenge, we developed AMRColab, an open-access bioinformatics analysis suite hosted on Google Colaboratory. AMRColab enables users with limited or no bioinformatics training to detect and visualize AMR determinants in pathogen genomes using a 'plug-and-play' approach. The platform integrates established bioinformatics tools such as AMRFinderPlus and hAMRonization, allowing users to analyse, compare and visualize trends in AMR pathogens easily. A trial run using methicillin-resistant Staphylococcus aureus (MRSA) strains demonstrated AMRColab's effectiveness in identifying AMR determinants and facilitating comparative analysis across strains. A workshop was conducted and feedback from participants indicated high confidence in using AMRColab and a willingness to incorporate it into their research. AMRColab's user-friendly interface and modular design make it accessible to a diverse audience, including medical laboratory technologists, medical doctors and public health scientists, regardless of their bioinformatics expertise. Future improvements to AMRColab will include enhanced visualization tools, multilingual support and the establishment of an online community platform. AMRColab represents a significant step towards democratizing AMR surveillance and empowering public health professionals to combat AMR effectively.

Defect induced persistence photoconductivity in spray pyrolyzed ZnO thin films: Impact of Sm3+doping

The persistent photoconductivity of the rare earth ion doped ZnO is an emerging field. The present work focuses on the effect of samarium (Sm3+) ion doping on the persistence photo response behaviour ZnO host matrix. The Zn1-xSmxO (x = 0.0 to 0.10) thin films were deposited on chemically cleaned glass substrates using spray pyrolysis technique. The films showed polycrystalline nature and hexagonal wurtzite structure without any impurity peaks. The Zn0.93Sm0.07O films showed maximum crystallite size of 24.2 nm and minimum dislocation density. The gradual change in the thickness of the fibrous nature was observed with the addition of Sm3+ ions into ZnO lattice. Energy dispersive analysis of x-ray and X-ray photoelectron spectroscopy confirmed the presence of elements and its oxidation states in the deposited film respectively. The area under the curve of deconvoluted photoluminescence spectra of deposits confirmed the decrease in the various defect percentage with increase in the doping concentration of Sm3+ ions. The photoluminescence spectra of Zn0.93Sm0.07O films showed maximum near band edge emission and minimum defects. The Zn0.93Sm0.07O films showed higher carrier concentration of 1 × 1017 cm−3, mobility 32 cm2/Vs and lower resistivity of 1 × 102 Ω cm due to improved film quality. The Zn0.93Sm0.07O films exhibited the current value under dark and ultraviolet light illumination was in the range of 10−6 A and 10−4 A respectively. The maximum photocurrent was noticed at 375 nm which corresponds to the bandgap of the deposited films. The Zn0.93Sm0.07O films showed faster photo response (5 s and 131 s of response and recovery time) due to the presence of minimum trap states. Hence the Zn0.93Sm0.07O films can be used in the fabrication of light dependent resistors and ultraviolet sensors.

Sensory cues, behavior and fur-based drying in the rat wetness response.

It never rains in standard lab-confinements; thus we have limited understanding of animal reactions to water and wetness. To address this issue, we sprayed water on different body parts of rats and measured drying and fur temperature by thermal imaging while manipulating behavior, sensory cues and fur. Spraying water on rats resulted in fur changes (hair clumping, apex formation), grooming, shaking, and scratching. Anesthesia abolished behavioral responses, interfered with fur changes, and slowed drying. Spraying water on different body parts resulted in differential behavioral drying responses. Spraying the head resulted in grooming and shaking responses; water evaporated from the head twice as fast as water sprayed on the animal's back or belly. We observed no effect of whisker removal on post-water-spraying behavior. In contrast, local anesthesia of dorsal facial skin reduced post-water-spraying behavioral responses. Shaving of head fur drastically enhanced post-water-spraying behaviors, but reduced water loss during drying; indicating that fur promotes evaporation, acting in tandem with behavior to mediate drying. Excised wet fur patches dried and cooled faster than shaved excised wet skin. Water was sucked into distal hair tips, where it evaporated. We propose the wet-fur-heat-pump-hypothesis; fur might extract heat required for drying by cooling ambient air.

Microstructure response and LBE corrosion behavior of the FeCrAlY coating after Au-ions irradiation

The microstructure and LBE corrosion behavior of the irradiated (up to 110 dpa) Fe15Cr11Al0.5Y coatings were investigated. The surface roughness and hardness increased with the irradiation dose. Irradiation induces grain growth, and the grown grains contain many dislocations, but no segregation and voids. Irradiation accelerates the corrosion rate of the coating, and the irradiated coatings suffer from serious inward non-uniform growth of the Al2O3 layer. The reaction of Al2O3 with PbO promoted the formation of the outermost PbAl2O4 of the irradiated coating. A “competitive mechanism” was proposed to explain the evolution of the corrosion behavior of the irradiated coatings.

PH-Responsive Alginate/Chitosan Gel Films: An Alternative for Removing Cadmium and Lead from Water.

Biosorption, a non-expensive and easy method for removing potentially toxic metal ions from water, has been the subject of extensive research. In this context, this study introduces a novel approach using sodium alginate and chitosan, versatile biopolymers that have shown excellent results as biosorbents. The challenge of maintaining high efficiencies and reuse is addressed by developing alginate/chitosan-based films. These films, prepared using solvent casting and crosslinking methods, form a hydrogel network. The alginate/chitosan-based films, obtained using the eco-friendly polyelectrolyte complex method, were characterized by FTIR, SEM, TGA, and DSC. The study of their swelling pH response, adsorption, and desorption behavior revealed promising results. The adsorption of Pb was significantly enhanced by the presence of both biopolymers (98%) in a shorter time (15 min) at pH = 6.5. The adsorption of both ions followed a pseudo-second-order kinetic and the Langmuir isotherm model. The desorption efficiencies for Cd and Pb were 98.8% and 77.6% after five adsorption/desorption cycles, respectively. In conclusion, the alginate/chitosan-based films present a highly effective and novel approach for removing Cd and Pb from water, with a promising potential for reuse, demonstrating their strong potential in potentially toxic metal removal.