Mixed Support Research Articles

Wood jam characteristics influence but do not fully explain wood jam morphologic functions

In-stream wood jams alter their surrounding channel morphology, thus setting riverscape morphology and ecosystem function. While wood jams clearly scour pools, retain sediment, and influence bank erosion, there is a lack of observational evidence of how wood jam characteristics themselves control morphologic effects. Here, I analyzed field observations of hundreds of wood jams to test the hypothesis that wood jam characteristics can predict local morphologic effects such as sediment retention, bar forcing, and pool scour. I found mixed support for this hypothesis: While jam characteristics such as porosity, channel blockage ratio, thalweg occupation, and having rootwads and multiple trunks significantly predicted morphologic effect occurrence and magnitude, they only explained a small portion of the variance in those morphologic effects. While wood jam characteristics are relevant in controlling their overall morphologic functions, those functions are both inherently variable and likely affected by numerous other factors, such as reach-scale topography, the sediment transport capacity to supply ratio, and interactions with surrounding wood and vegetation. Wood function restoration may be more effective if it targets reach-scale objectives across dynamic wood jam assemblages, instead of individual jams.

Becoming Hand Hygiene Heroes: implementation of an infection prevention and control campaign for patient and family hospital safety

BackgroundThe COVID-19 pandemic highlighted that hand hygiene is key in preventing healthcare-associated infections. Patients and families are understudied targets for infection prevention and control practices. Previous campaigns to change hand hygiene behavior have been effective, but often face systemic challenges with implementation. MethodsThe “Hand Hygiene Heroes” educational campaign was developed to improve patient and family hand hygiene at two tertiary care pediatric and obstetrics hospitals. Its multiple phases included visual materials, tailored activities for nine hospital units, and long-term evaluation during a two-year period. Hand hygiene rates among patients/families and healthcare workers were measured at baseline and throughout the campaign via direct observation. ResultsOverall, hand hygiene significantly increased for both patients/families (OR 1.82, p 0.041) and healthcare workers (OR 2.15, p <0.001) after campaign initiation. However, individual units had varying degrees of sustainment on follow-up evaluations. DiscussionDuration of intervention, activity simplicity, active participation, and resource availability may affect success of campaign initiatives. Positive prognostic factors included mixed leadership support from administration and front-line workers, pre-determined sustainability plans, and tailored activities by target audience. ConclusionsImplementation of hospital educational campaigns can be resource-intensive but can positively impact patient and family hand hygiene.

Designing mixed cationic/anionic supports to covalently immobilize/stabilize enzymes with high isoelectric point by enzyme adsorption and support-enzyme glutaraldehyde crosslinking

Ficin fully immobilized on Asp-agarose beads at pH 7 but not on an aminated support. This made enzyme adsorption plus glutaraldehyde modification non-viable for this enzyme. Modifying glyoxyl-agarose beads with mixtures of Asp and 1,6-hexamethylenediamine (HA) at different ratios, mixed anion/cation exchanger supports were built. Only if HA greatly exceed Asp in the support, immobilization did not work. While only using the Asp-agarose support immobilized enzyme molecules were only ionically adsorbed after glutaraldehyde treatment (visualized in SDS-PAGE analysis), the mixed supports gave covalent immobilization. The glutaraldehyde modification of these biocatalysts permitted to establish covalent bonds with the support, and this was more effective when using higher amounts of HA in the support. When around 60 % of the groups in the support were HA, the treatment with glutaraldehyde fully suppressed enzyme release from the support after boiling in SDS. The glutaraldehyde treated biocatalysts were more stable than just the adsorbed enzymes or the enzyme adsorbed only on Asp supports and then treated with glutaraldehyde (the optimal biocatalyst retained 90 % of the initial activity while the just adsorbed ficin retained 50 % of the initial activity). This strategy can be utilized to immobilize other proteins with high isoelectric points following this immobilization strategy.

B - 92 Memory Rehabilitation Following Stroke and Traumatic Brain Injury

Abstract Objective Several Meta analyses suggest mixed but objective support for internal strategies. Typically, successful rehabilitation involves at least 8 hour of memory training and often results in 0.25 to 0.50 standard deviation (SD) improvements depending on how long post injury. Intervention dose, strategies, level of impairment, and patient self-awareness and motivation all appear relevant. Methods Data is taken from 21 continuous referrals. Three individuals did not want to work on memory strategies, so their data was separated from the rest. Participants: 18 individuals with acquired brain injuries, with an average age of 51.6 and about 15 years of education, who were 76.6 days post brain injury. Intervention: Each individual was involved in 8 weeks of transdisciplinary rehabilitation. Many goals were addressed and memory rehabilitation was treated via 1 or 2 weekly sessions with a neuropsychologist. Internal and external strategy use was taught. Individuals received 8 to 10 hours of memory rehabilitation involving repetitive practice of clustering, semantic clustering, organizing information into sentences or stories, rhyming, and acronyms. Results Delayed List Recall significantly improved from standard scores of 73.5 to 89.7 and the delayed Story Recall improved from 75 to 90. The mean improvement was nearly 1 standard deviation across measures. Conclusions Individuals showed significant improvement in immediate and delayed recall memory scores. These individuals showed more than 0.5 SD short-term memory (STM) gain and also self-reported improved STM. Durability of gains was not measured in follow-ups. These interventions improve memory skills, but not all patients choose to participate in this type of treatment.

A Comparative Study of Ni-Based Catalysts Prepared by Various Sol-Gel Routes.

The use of heterogeneous catalysts to increase the development of green chemistry is a rapidly growing area of research to save industry money. In this paper, mesoporous SiO2-Al2O3 mixed oxide supports with various Si/Al ratios were prepared using two different sol-gel routes: hydrolytic sol-gel (HSG) and non-hydrolytic sol-gel (NHSG). The HSG route was investigated in both acidic and basic media, while the NHSG was explored in the presence of ethanol and diisopropyl ether as oxygen donors. The resulting SiO2-Al2O3 mixed oxide supports were characterized using EDX, N2 physisorption, powder XRD, 29Si, 27Al MAS-NMR and NH3-TPD. The mesoporous SiO2-Al2O3 supports prepared by NHSG seemed to be more regularly distributed and also more acidic. Consequently, a simple one-step NHSG (ether and alcohol routes) was selected to prepare mesoporous and acidic SiO2-Al2O3-NiO mixed oxide catalysts, which were then evaluated in ethylene oligomerization. The samples prepared by the NHSG ether route showed better activity than those prepared by the NHSG alcohol route in the oligomerization of ethylene at 150 °C.

Exploring consumer’s sharing-economy green innovation adoption behavior: the GoShare example in Taiwan

&lt;p&gt;GoShare is an innovative green e-scooter rental service that has gained popularity in Taiwan. Its innovativeness lies in its being an electric green innovation and a widely available scooter rental service. To study consumers&amp;rsquo; motivation to adopt an innovation with duality in nature-being a product and service innovation simultaneously. We utilized a two-stage research process: interviews first and followed by an online questionnaire survey effort. Building upon the learning from the interviews, we examined how potential adopters&amp;rsquo; (1) environmental consciousness, (2) perceived innovation characteristics, (3) self-image related to the service, and (4) the perceived complementarity of the innovation in question impacts their adoption behavior. Logistic regression analyses were to present the findings. We found mixed support for our hypothesizes developed.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;

Effectiveness of Three Vocabulary Learning Tasks from The Perspective of Technique Feature Analysis

This study investigated the effectiveness of vocabulary learning tasks based on the Technique Feature Analysis framework. The framework provides criteria for evaluating the effectiveness of vocabulary learning tasks. The study investigated the correlation between the predictability of the framework and the task’s effect on vocabulary learning and retention. The study employed an experimental design in which participants were assigned to three different vocabulary tasks involving 15 target words. The tasks were designed to vary in the presence of the vocabulary learning criteria outlined in the Technique Feature Analysis. Learners’ knowledge of word forms and word meanings was assessed immediately and one week later. The results provided mixed support for the Technique Feature Analysis framework. While no significant differences were found in immediate form-meaning recognition, and delayed form recognition, the framework was predictive of learners’ delayed meaning recognition performance.

ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance Imaging

Background and Objectives:Artificial intelligence (AI) is revolutionizing Magnetic Resonance Imaging (MRI) along the acquisition and processing chain. Advanced AI frameworks have been applied in various successive tasks, such as image reconstruction, quantitative parameter map estimation, and image segmentation. However, existing frameworks are often designed to perform tasks independently of each other or are focused on specific models or single datasets, limiting generalization. This work introduces the Advanced Toolbox for Multitask Medical Imaging Consistency (ATOMMIC), a novel open-source toolbox that streamlines AI applications for accelerated MRI reconstruction and analysis. ATOMMIC implements several tasks using deep learning (DL) models and enables MultiTask Learning (MTL) to perform related tasks in an integrated manner, targeting generalization in the MRI domain. Methods:We conducted a comprehensive literature review and analyzed 12,479 GitHub repositories to assess the current landscape of AI frameworks for MRI. Subsequently, we demonstrate how ATOMMIC standardizes workflows and improves data interoperability, enabling effective benchmarking of various DL models across MRI tasks and datasets. To showcase ATOMMIC’s capabilities, we evaluated twenty-five DL models on eight publicly available datasets, focusing on accelerated MRI reconstruction, segmentation, quantitative parameter map estimation, and joint accelerated MRI reconstruction and segmentation using MTL. Results:ATOMMIC’s high-performance training and testing capabilities, utilizing multiple GPUs and mixed precision support, enable efficient benchmarking of multiple models across various tasks. The framework’s modular architecture implements each task through a collection of data loaders, models, loss functions, evaluation metrics, and pre-processing transformations, facilitating seamless integration of new tasks, datasets, and models. Our findings demonstrate that ATOMMIC supports MTL for multiple MRI tasks with harmonized complex-valued and real-valued data support while maintaining active development and documentation. Task-specific evaluations demonstrate that physics-based models outperform other approaches in reconstructing highly accelerated acquisitions. These high-quality reconstruction models also show superior accuracy in estimating quantitative parameter maps. Furthermore, when combining high-performing reconstruction models with robust segmentation networks through MTL, performance is improved in both tasks. Conclusions:ATOMMIC advances MRI reconstruction and analysis by leveraging MTL and ensuring consistency across tasks, models, and datasets. This comprehensive framework serves as a versatile platform for researchers to use existing AI methods and develop new approaches in medical imaging.

Minimalism, Law, Ideology, and the Public Impact of the Supreme Court

For many decades, researchers sought to understand whether courts influence public opinion and what factors moderate or intensify such influence. In this study, we elucidate these questions with an original longitudinal survey experiment ( N = 920) conducted before and after a major U.S. Supreme Court decision addressing freedom of religion and nondiscrimination law. We focus on three key factors and their influence in the short and longer term: the perceived breadth of the decision; whether the decision is congruent with the background law; and the decision's congruence with individuals’ ideology. We triangulate and extend our findings with data from a representative cross-sectional survey conducted by an independent research institute ( N = 16,761). Our findings lend mixed support to the theory that narrow decisions can curb the public impact of the Supreme Court and expose a relationship between judicial minimalism and background laws. We discuss the implications for Supreme Court strategy and for the research on Supreme Court impact on public opinion.

Range size positively correlates with temperature and precipitation niche breadths but not with dietary niche breadth in triatomine insects, vectors of Chagas disease.

Ecological theory predicts that species that can utilise a greater diversity of resources and, therefore, have wider niche breadths should also occupy larger geographic areas (the 'niche breadth-range size hypothesis'). Here, we tested this hypothesis for a blood-sucking group of insects of medical significance: the Triatominae (aka 'kissing bugs') (Hemiptera: Reduviidae). Given that niches can be viewed from different perspectives, we tested this hypothesis based on both dietary and climatic niches. We assembled the most complete dataset of triatomine feeding patterns to date by reviewing 143 studies from the literature up to 2021 and tested whether the niche breadth-range size hypothesis held for this group for both dietary and climatic components of the niche. Temperature and precipitation niche breadths were estimated from macro-environmental variables, while diet breadth was calculated based on literature data that used PCR and/or ELISA to identify different types of hosts as blood sources per triatomine species. Our results showed that temperature and precipitation niche breadths, but not dietary breadth, were positively correlated with range sizes, independent of evolutionary history among species. These findings support the predictions from the range size-niche breadth hypothesis concerning climate but not diet, in Triatominae. It also shows that support for the niche breadth-range size hypothesis is dependent upon the niche axis under consideration, which can explain the mixed support for this hypothesis in the ecological literature.

Too much of a good thing? A multilevel examination of listening to music at work.

Music listening has proliferated in the workplace, yet its effects have been overlooked, and classic investigations offer conflicting results. To advance our understanding, we draw from self-regulation and resource allocation theories to suggest that listening to music has curvilinear effects on attentional focus and performance on work tasks and that willpower belief is a key boundary condition. We test these hypotheses across three studies: a pilot study of 108 employees from a software company who took part in a 2-week experience-sampling methodology study and self-rated their music listening and performance, a laboratory study (Study 1) of 252 undergraduate students in which task attentional focus and objective performance on proofreading tasks were captured across repeated trials while listening to music, and a 3-week experience-sampling methodology study (Study 2) of 247 employees that included a within-person manipulation of music listening (little to no music vs. 1 hr longer than usual vs. 3 hr longer than usual), daily self-ratings of task attentional focus and task performance, and weekly coworker ratings of task performance. We find mixed support for our hypotheses. Time spent listening to music exhibited an inverted, U-shaped relationship with self-rated (pilot study) and objective (Study 1) task performance. Individuals with higher willpower belief maintained higher levels of task attentional focus regardless of the amount of music they listened to (Studies 1 and 2), and the curvilinear relationship of reported music listening with self-rated task performance was more pronounced for individuals who believe that willpower is limited (pilot study and Study 2). (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Finding Isolated Aquatic Habitat: Can Beggars Be Choosers?

In a two-year field study across 58 isolated wetlands in Texas (USA), we examined whether odonate (Insecta: Odonata) assemblages were structured by local environmental filters or instead simply reflected the use of any available water in this semi-arid region. Cluster analysis resolved three wetland groupings based on environmental characteristics (hydroperiod, water chemistry, vegetation); 37 odonate species were detected at these wetlands. The most speciose assemblages occurred at wetlands with longer hydroperiods; these sites also had the most species found at no other wetland type. Ordination plots indicated some filtering with respect to the hydroperiod, but there was only mixed or weak support with respect to other local factors. Because water persistence was the strongest driver maintaining odonate diversity in this region, regardless of water quality or vegetation, beggars cannot be choosers in this system and conservation efforts can focus on water maintenance or supplementation.

Shining a Light on Racial Privilege: An Empirical Examination of the Role of Whiteness in Willingness to Commit Elite White-Collar Crime

A significant amount of criminological research has focused on explaining the overrepresentation of Black individuals in crime, attributing them with disproportionate criminal involvement. However, evidence suggests that the most severe crimes, particularly elite white-collar crime, can be disproportionately attributed to White individuals. This study tests the Theory of Racial Privilege and Offending, which argues that racial dynamics in the United States shape cultural adaptations contributing to white-collar and corporate crime. These adaptations involve cognitive frameworks related to empathy, entitlement, and competition. The findings support the influence of race on financial conditions and racial isolation, mixed support for isolation’s impact on cognitive frameworks linked to criminality, and strong support for the direct impact of cognitive frameworks and crime-specific justifications on offending likelihood. The study concludes with implications for research and policy.

Social support resources in adolescents and young adults with advanced cancer: a qualitative analysis

PurposeAdolescents and Young Adults (AYAs) with cancer are an at-risk group with unique palliative and supportive care needs. Social support in AYAs with cancer is associated with better coping, quality of life, and psychosocial well-being. Here, we extend existing research to examine the sources and types of support received by AYAs with advanced cancer.MethodsAYAs participated in a semi-structured, 1:1 interview on communication and psychosocial support needs. The present analysis focused on social support experiences for AYAs with advanced cancer. Directed content analysis was used to develop the codebook. Established social support constructs provided a coding framework. We presented our qualitative findings as a code frequency report with quantified frequency counts of all “source of support” and “type of support” codes. We assigned a global “sufficiency of support code” to each AYA.ResultsWe interviewed 32 AYAs with advanced cancer (Mage = 18, SDage = 3.2, 41% female). Most AYAs identified family (namely, caregivers) as their primary source of support and stated that family universally provided all types of support: emotional, informational, instrumental, and social companionship. They received informational and emotional support from clinicians, and received emotional support and social companionship from healthy peers, cancer peers, and their existing community. One-third of participants were coded as having “mixed support” and described a lack of support in some domains.ConclusionAYAs with advanced cancer described caregivers as their universal source of support, and that other support sources provided support for specific needs. Future research should continue to evaluate social support needs and family-based palliative and supportive care interventions to bolster social support resources in this high-risk group.

Is the Effect of Trust on Risk Perceptions a Matter of Knowledge, Control, and Time? An Extension and Direct-Replication Attempt of Siegrist and Cvetkovich (2000)

The complexity of societal risks such as pandemics, artificial intelligence, and climate change may lead laypeople to rely on experts and authorities when evaluating these threats. While Siegrist and Cvetkovich showed that competence-based trust in authorities correlates with perceived societal risks and benefits only when people feel unknowledgeable, recent research has yielded mixed support for this foundational work. To address this discrepancy, we conducted a direct-replication study (preregistered; 1,070 participants, 33 risks, 35,310 observations). The results contradict the original findings. However, additional non-preregistered analyses indicate an alternative perspective aligning with compensatory control theory and the description-experience framework: experiences with insufficient personal control over a threat may amplify individuals’ dependency on powerful others for risk mitigation. These findings highlight the need to reevaluate how trust shapes risk perceptions. Recent societal and technological shifts might have heightened the desire for control compared to subjective knowledge in why people resort to trust.

Native and invaded-range surveys provide mixed support for enemy-release of Nymphoides peltata in the invaded range

Natural or anthropogenic movement of plant species outside their historical ranges may result in exposure to new environmental conditions and a lack of natural enemies, thus promoting their establishment and spread into new areas. A biogeographical comparison of native and invasive populations can provide insight into the mechanisms of successful invasions and guide effective management strategies, such as biological control, by targeting plant traits that promote invasiveness. We studied the Eurasian aquatic plant, Nymphoides peltata, in situ in the native (China, Korea) and invaded (USA) ranges to determine whether there were differences in natural enemy attack rates (percent leaf damage, frequency of leaf herbivory or disease), productivity (plant cover, reproduction), and leaf traits (leaf elemental content, leaf toughness, dry matter content, specific leaf area) between areas. We also investigated whether there was evidence of a tradeoff between natural enemy attack and growth or reproduction, as would be predicted by invasion theory. Plant cover (23–29 % higher) and reproductive output (eight times more seeds / m2) were consistently higher in the invaded range. Leaf traits consistently differed between ranges, which we would expect if plants in the invaded range had fewer herbivores or other pests. The amount of leaf damage present was similar between ranges, but the frequency of herbivory was 50 % greater, on average, in the native than invaded range. Although we did not quantify suppression of N. peltata by natural enemies, we found evidence of more frequent herbivory in Asia and reduced reproduction and plant cover compared to the USA, which supports further investigation into viability of biological controls.

Natural resource rent's effect on Ethiopian inequality and manufacturing's moderating role: evidence from dynamic simulated ARDL model

Purpose The purpose of this study is to empirically examine the impact of natural resource rents on income inequality in Ethiopia from 1981 to 2022 and investigate whether investments in manufacturing moderate this relationship. Design/methodology/approach Dynamic autoregressive distributed lag simulation and Kernel-based regularized least squares (KRLS) models are used to analyses short- and long-run relationships, as well as the potential moderating role of manufacturing. Findings The bounds test indicates natural resource rents have a long-run positive effect on inequality but a short-run negative impact. The KRLS model finds manufacturing conditions for this linkage in the short run. In the long run, economic growth decreases inequality following an inverted Kuznets pattern, while government expenditures reduce disparities when directed at priority social services. Research limitations/implications The findings provide mixed support for theories while highlighting nuances not fully captured without local analyses. Strategic sectoral investments may help optimize outcomes from resource dependence. Practical implications The results imply Ethiopia should prudently govern resources, productively invest revenues and prioritize social spending to equitably manage industrialization and uphold stability. Social implications Reducing disparities through inclusive development aligned with empirical evidence could help Ethiopia sustain peace amid transformation and realize its goals of shared prosperity. Originality/value This study applies innovative econometrics to provide novel insights into Ethiopia's experience, resolving inconsistencies in the literature on relationships between key determinants and inequality.

Highly Active Oxidation Catalysts through Confining Pd Clusters on CeO2 Nano-Islands.

CeO2-supported noble metal clusters are attractive catalytic materials for several applications. However, their atomic dispersion under oxidizing reaction conditions often leads to catalyst deactivation. In this study, the noble metal cluster formation threshold is rationally adjusted by using a mixed CeO2-Al2O3 support. The preferential location of Pd on CeO2 islands leads to a high local surface noble metal concentration and promotes the in situ formation of small Pd clusters at a rather low noble metal loading (0.5 wt %), which are shown to be the active species for CO conversion at low temperatures. As elucidated by complementary in situ/operando techniques, the spatial separation of CeO2 islands on Al2O3 confines the mobility of Pd, preventing the full redispersion or the formation of larger noble metal particles and maintaining a high CO oxidation activity at low temperatures. In a broader perspective, this approach to more efficiently use the noble metal can be transferred to further systems and reactions in heterogeneous catalysis.

Hospital falls clinical practice guidelines: a global analysis and systematic review.

Hospital falls continue to be a persistent global issue with serious harmful consequences for patients and health services. Many clinical practice guidelines now exist for hospital falls, and there is a need to appraise recommendations. A systematic review and critical appraisal of the global literature was conducted, compliant with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Web of Science, Embase, CINAHL, MEDLINE, Epistemonikos, Infobase of Clinical Practice Guidelines, Cochrane CENTRAL and PEDro databases were searched from 1 January 1993 to 1 February 2024. The quality of guidelines was assessed by two independent reviewers using Appraisal of Guidelines for Research and Evaluation Global Rating Scale and Appraisal of Guidelines of Research and Evaluation Recommendation Excellence (AGREE-REX). Certainty of findings was rated using Grading of Recommendations Assessment, Development and Evaluation Confidence in Evidence from Reviews of Qualitative Research. Data were analysed using thematic synthesis. 2404 records were screened, 77 assessed for eligibility, and 20 hospital falls guidelines were included. Ten had high AGREE-REX quality scores. Key analytic themes were as follows: (i) there was mixed support for falls risk screening at hospital admission, but scored screening tools were no longer recommended; (ii) comprehensive falls assessment was recommended for older or frail patients; (iii) single and multifactorial falls interventions were consistently recommended; (iv) a large gap existed in patient engagement in guideline development and implementation; (v) barriers to implementation included ambiguities in how staff and patient falls education should be conducted, how delirium and dementia are managed to prevent falls, and documentation of hospital falls. Evidence-based hospital falls guidelines are now available, yet systematic implementation across the hospital sector is more limited. There is a need to ensure an integrated and consistent approach to evidence-based falls prevention for a diverse range of hospital patients.

The core tendencies underlying prosocial behavior: Testinga person-situation framework.

According to a recently proposed theoretical framework, different personality traits should explain pro-social behavior in different situations. We empirically tested the key proposition of this framework that each of four "coretendencies" (i.e., the shared variance of related traits) specifically predicts pro-social behavior in the presence of a different situational affordance. We used a large-scale dataset (N = 2479) including measures of various personality traits and six incentivized economic games assessing pro-social behavior in different social situations. Using bifactor modeling, we extracted four latent core tendencies and tested their predictive validity for pro-social behavior. We found mixed support for the theoretically derived, preregistered hypotheses. The core tendency of beliefs about others' pro-sociality predicted pro-social behavior in both games involving dependence under uncertainty, as expected. Unconditional concern for others' welfare predicted pro-social behavior in only one of two games providing a possibility for exploitation. For conditional concern for others' welfare and self-regulation, in turn, evidence relating them to pro-social behavior in the presence of a possibility for reciprocity and temporal conflict was relatively weak. Different features of social situations may activate different personality traits to influence pro-social behavior, but more research is needed to fully understand these person-situation interactions.