bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characteristic behaviour of N-order ion acoustic rogue waves solution in electron-positron-ion plasmas
Authors: Alam M S , Talukder M R 
Published: January 2022

Abstract
The characteristic behaviour of breathers as well as N-order Rogue wave (RW) solution in homogeneous unmagnetized electron-positron-ion plasmas (consisting of cold ions, and isothermal Maxwellian electrons and positrons) has been studied theoretically. Nonlinear Schrödinger (NLS) equation is derived employing Krylov-Bogoliubov-Mitropolosky (KBM) perturbation technique in solving the concerned problems. The analytical solution of the NLS equation in the forms of breathers such as Akhmediev breather (AB), Kuznetsov-Ma breather (KM) solitons, as well as first-, second-, third-, and fourth-order RWs solution are obtained. The characteristic behaviour of breathers’ and their dependency on the relevant physical parameters are examined. The different orders of RWs are analyzed to obtain the region of existence of ion acoustic (IA) rogue waves (IARWs) with respect to unstable region. The potential profiles concerning different orders of RWs depend on the ratio of positron to electron concentrations (

ρ

) and wave number (

k

). Analysis reveals that the spatial difference between the two adjacent peaks of AB profiles are increasing with the enhancement of transformer physical parameter (

Λ

), while the temporal evolution between the two neighboring peaks of KM profiles decreases with increasing

Λ

and the amplitudes become large as well. The amplitudes of first-, second-, and third-order RWs profiles are decreasing with increasing

ρ

while the amplitude of fourth-order RWs profile is increasing. The results obtained in this study may be useful in understanding the propagation of nonlinear waves in optical fibers, Bose-Einstein condensates, plasma physics and atmospheric physics.
NEPA and climate change: consideration of climate mitigation and adaptation in infrastructure review processes
Authors: Ulibarri Nicola , Han David 
Published: January 2022

Abstract
Addressing climate change requires a shift in the planning, design, and operations of infrastructure. Reducing greenhouse gas emissions will require decarbonizing energy, water, transportation, and other infrastructures. And the long-term resilience of many infrastructure projects will be affected by expected changes in precipitation, sea level, heat and cold spells, and natural hazards like hurricanes and wildfires. Many scholars and practitioners have suggested that environmental impact assessment (EIA)—a required review of the environmental impacts of infrastructure projects—can serve as an opportunity to encourage infrastructure to be more climate friendly. In the United States (like many other jurisdictions), federal agencies are not required to address climate change in EIA reviews, but guidance from the Council on Environmental Quality advises them to consider greenhouse gas emissions and the effects of climate change. This paper applied qualitative content analysis to assess integration of climate change into environmental impact statements (EISs) in the United States. We found that most EISs included some consideration of climate change, most frequently with a few brief mentions rather than extensive integration. We also found more focus on climate mitigation than adaptation, in both recognizing potential impacts and managing those impacts. Surprisingly, infrastructure that is more directly related to climate change—water and energy infrastructure, as well as land management—had lower overall climate integration than transportation, information technology, or buildings and operations. As exploratory work, this research suggests that federal agencies could do more to mitigate greenhouse gas emissions in approved projects and in particular to make infrastructure more adaptive to climate change. The work also raises a number of questions as to whether EIA is the right regulatory tool to encourage climate friendly infrastructure.
COVID-19 mRNA Vaccines May Cause False Reactivity in Some Serologic Laboratory Tests, Including Rapid Plasma Reagin Tests
Authors: Korentzelos Dimitrios , Baloda Vandana , Jung Yujung , Wheeler Bradley , Shurin Michael R , Wheeler Sarah E 
Published: January 2022

Abstract

Objectives
Acute viral infections and some vaccines have been shown to increase false positivity in serologic assays. We assessed if the messenger RNA coronavirus disease 2019 (COVID-19) vaccines could cause false reactivity in common serologic assays in a pilot longitudinal cohort.

Methods
Thirty-eight participants with sera available prevaccination, 2 weeks after each vaccine dose, and monthly thereafter for up to 5 months were tested for common infectious disease serologies and antiphospholipid syndrome (APS) serology markers on the BioPlex 2200, Sure-Vue rapid plasma reagin (RPR), and Macro-Vue RPR. Twenty-two participants received the Moderna vaccine and 16 received the Pfizer vaccine.

Results
Most assays had no change in reactivity over the course of the sample draws, including APS markers. Epstein-Barr virus immunoglobulin G (IgG), measles IgG, and rubella immunoglobulin M all had possible false reactivity in one to two participants. RPR tests demonstrated false reactivity, with baseline nonreactive participant samples becoming reactive following vaccination. There were more false reactive participants (7/38) in the BioPlex RPR than in the Sure-Vue (2/38) and Macro-Vue (1/38) tests. All falsely reactive RPR tests were in participants who received the Moderna vaccine.

Conclusions
Serologic assays with results that do not fit the clinical picture following COVID-19 vaccination should be repeated. Effects of false reactivity can last more than 5 months in some assays. In particular, RPR is susceptible to false reactivity, and there is variability among assays. Larger longitudinal studies are needed to determine the incidence and window of false reactivity.
RIP2 Knockdown Attenuates Vascular Smooth Muscle Cells Activation via Negative Regulating Myocardin Expression
Authors: Zhang Lan , Huang Qian-wei , Pu Yan-fen , Xiao Xiao-qiang , Song Bian-jing , Zhang Xue-ping , Yang Yong-sheng , Zhang Yu-song , Gong Fu-han 
Published: January 2022

Abstract

Background
RIP2 is an adaptor protein contributing to the activation of nuclear factor-κB induced by TNF receptor-associated factor (TRAF) and nucleotide oligomerization domain (NOD)-dependent signaling implicated in innate and adaptive immune response. Beyond regulation of immunity, we aimed to elucidate the role of RIP2 in vascular smooth muscle cell (VSMC) phenotypic modulation.

Methods and results
In the current study, we observed that RIP2 showed an increased expression in VSMCs with PDGF-BB stimulation in a dose-dependent manner. Knockdown of RIP2 expression mediated by adenovirus dramatically accelerated the expression of VSMC-specific differentiation genes induced by PDGF-BB. Silencing of RIP2 inhibited proliferative and migratory ability of VSMCs. Additionally, we demonstrated that RIP2 knockdown can promoted myocardin expression. Furthermore, RIP2 inhibition also can attenuate the formation of intimal hyperplasia.

Conclusions
These findings suggested that RIP2 played an important role in regulation of VSMCs differentiation, migration, and proliferation that may due to affect myocardin expression. Our results indicated that RIP2 may be a novel therapeutic target for intimal hyperplasia.
Psychometric Properties of a New Decision-Making Capacity Assessment Tool for People with Substance Use Disorder: The CAT–CAT
Authors: Kumar Rishika , Berry Jamie , Koning Ashley , Rossell Steve , Jain Harshali , Elkington Selina , Nagaraj Sagar , Batchelor Jennifer 
Published: January 2022

Abstract
Individuals with substance use disorder (SUD) often present with cognitive impairments, which may impede their ability to make decisions for themselves, including treatment-related decisions. It is therefore important to assess whether individuals with SUD have adequate decision-making capacity. Indeed, there have not been any capacity assessment tools tailored for use with SUD populations that demonstrate adequate psychometric properties or that have the strong ethical foundation that is required of capacity assessment tools. The Compulsory Assessment and Treatment–Capacity Assessment Tool (CAT–CAT) was designed to fill this gap in the literature. Therefore, the aim of this study was to establish the interrater and test–retest reliability, and discriminative validity of the CAT–CAT. The first of this two-part study recruited healthcare professionals in New Zealand and asked them to conduct a capacity assessment on two hypothetical clients. Generally, excellent interrater reliability (ρ = .998 overall) and test–retest reliability (ρ = .996 overall) was found. The CAT–CAT has exhibited reliability that was at least comparable to widely used capacity assessment tools for other pathologies. The second part of this study involved cognitively normal individuals undergoing capacity assessments to investigate the hypothesis that individuals that do not lack capacity will obtain scores significantly higher than 50% in each section of the CAT–CAT. This hypothesis was met with highly significant results. To conclude, preliminary data suggest that the CAT–CAT has excellent reliability and correctly classifies those with capacity.
Psychoeducational Interventions and Postconcussive Recovery in Children and Adolescents: A Rapid Systematic Review
Authors: Kamba Gloria , Plourde Vickie 
Published: January 2022

AbstractObjectiveThe purpose of this rapid systematic review was to identify and synthesize results of empirical studies that have examined psychoeducational interventions provided to children and adolescents aged 5–19 recovering from a concussion and their families.MethodsThis study followed the PRISMA guidelines adjusted for a rapid systematic review. We searched three databases (EMBASE, PsycInfo and MEDLINE) with key terms for concussion (or mild traumatic brain injury - mTBI), the intervention (psychoeducation, instructions, and reassurance) and the target population (children and adolescents aged 5 to 19). Our search strategy generated 2225 unique records and seven were included. We performed a quality appraisal on the included studies using the Mixed Methods Appraisal Tool (MMAT).ResultsResults indicated that psychoeducational interventions had satisfactory feasibility results. Caregivers generally found the intervention to be useful to determine return to play (n=2) and understand consequences following a concussion (n=1). However, results from studies on post-concussive symptom improvement (n=4) and post-intervention concussion knowledge (n=2) showed variability and mixed findings. Methodological quality was low for most studies.ConclusionsThis present review shows that there are very few published studies on psychoeducational interventions offered to children, adolescents, and families for the post-concussion management. Current evidence suggests that those interventions are useful in guiding caregivers during their child's recovery. However, the impact of psychoeducational interventions on post-concussive recovery seems to be less clear.
Nest-Site Fidelity in Eastern Bluebirds (Sialia Sialis) Depends on the Quality of Alternate Cavities
Authors: Stanback Mark T. , Rockwell Ellen K. 
Published: January 2022

AbstractSecondary cavity nesting birds have been predicted to switch their nesting location when the quality of the nest site declines such as from accumulation of soiled nest material and parasites. We hypothesized that nest-site switching in Eastern Bluebirds (Sialia sialis) should depend not only on the condition of the original nest, but also on quality of alternate nest cavities. We tested that hypothesis experimentally by providing Eastern Bluebirds with attractive and unattractive nest boxes (as determined from a choice experiment). In one experiment, bluebirds were forced to choose between their soiled box of the preferred type and a clean box of the less-preferred type. Faced with that decision, a significant proportion of pairs opted to reuse their nest cavity, despite the ectoparasitism costs of that option. When given the choice between their soiled box of the preferred type and an identical but clean box, a significant proportion switched to the clean box, which suggests that soiled nests present some cost. By manipulating box type, we were able to decrease and increase, respectively, the costs of nest-site fidelity. Thus, bluebirds do not simply operate under a rule of thumb “switch nest sites when nest quality falls below point x.” Rather, they must weigh the declining quality of their current nest against the relative quality of all other available nest sites.
Wild zebra finches are attracted towards acoustic cues from conspecific social groups
Authors: Adrian Corinna , Griffith Simon C , Naguib Marc , Schuett Wiebke 
Published: January 2022

AbstractSocial information gathered by observing others often supplements personal information collected from direct interactions with the physical environment during decision-making. Social information use may be particularly beneficial in harsh environments or if resources are distributed patchily, ephemeral, and unpredictable, and hence difficult to locate. We experimentally tested the use of acoustic cues in wild zebra finches (Taeniopygia guttata) as they flew around their arid habitat as a way of locating conspecifics on the ground, and potentially accessing useful social information. Joining a conspecific group may reduce the predation risk, and if they are foraging may also improve foraging efficiency, as the distribution of zebra finch food (grass seed) is scattered and unpredictable in their natural habitat, the Australian arid zone. We conducted playback experiments along vegetated creek lines radiating out from an artificial dam where all birds in the population were coming for drinking water. We broadcast recordings of vocalizations from foraging conspecific groups to birds using these creek lines to move to or from the water into the wider habitat. Zebra finches were more likely to land near the loudspeaker when conspecific vocalizations were broadcast compared to white noise. Birds flying low and close to the loudspeaker were most likely to land. Our results indicate that zebra finches use acoustic cues of conspecifics as a source of social information for grouping decisions. Use of such information may also enhance foraging efficiency in environments with unpredictable and scarce foraging locations, and reduce predation risk for calling and responding individuals.
Breeding site fidelity is lower in polygamous shorebirds and male-biased in monogamous species
Authors: Kwon Eunbi , Valcu Mihai , Cragnolini Margherita , Bulla Martin , Lyon Bruce , Kempenaers Bart 
Published: January 2022

AbstractSex-bias in breeding dispersal is considered the norm in many taxa, and the magnitude and direction of such sex-bias is expected to correlate with the social mating system. We used local return rates in shorebirds as an index of breeding site fidelity, and hence as an estimate of the propensity for breeding dispersal, and tested whether variation in site fidelity and in sex-bias in site fidelity relates to the mating system. Among 111 populations of 49 species, annual return rates to a breeding site varied between 0% and 100%. After controlling for body size (linked to survival) and other confounding factors, monogamous species showed higher breeding site fidelity compared with polyandrous and polygynous species. Overall, there was a strong male bias in return rates, but the sex-bias in return rate was independent of the mating system and did not covary with the extent of sexual size dimorphism. Our results bolster earlier findings that the sex-biased dispersal is weakly linked to the mating system in birds. Instead, our results show that return rates are strongly correlated with the mating system in shorebirds regardless of sex. This suggests that breeding site fidelity may be linked to mate fidelity, which is only important in the monogamous, biparentally incubating species, or that the same drivers influence both the mating system and site fidelity. The strong connection between site fidelity and the mating system suggests that variation in site fidelity may have played a role in the coevolution of the mating system, parental care, and migration strategies.
MiRLoc: predicting miRNA subcellular localization by incorporating miRNA–mRNA interactions and mRNA subcellular localization
Authors: Xu Mingmin , Chen Yuanyuan , Xu Zhihui , Zhang Liangyun , Jiang Hangjin , Pian Cong 
Published: January 2022

AbstractSubcellular localization of microRNAs (miRNAs) is an important reflection of their biological functions. Considering the spatio-temporal specificity of miRNA subcellular localization, experimental detection techniques are expensive and time-consuming, which strongly motivates an efficient and economical computational method to predict miRNA subcellular localization. In this paper, we describe a computational framework, MiRLoc, to predict the subcellular localization of miRNAs. In contrast to existing methods, MiRLoc uses the functional similarity between miRNAs instead of sequence features and incorporates information about the subcellular localization of the corresponding target mRNAs. The results show that miRNA functional similarity data can be effectively used to predict miRNA subcellular localization, and that inclusion of subcellular localization information of target mRNAs greatly improves prediction performance.
NerLTR-DTA: drug–target binding affinity prediction based on neighbor relationship and learning to rank
Authors: Ru Xiaoqing , Ye Xiucai , Sakurai Tetsuya , Zou Quan 
Published: January 2022

Abstract

Motivation
Drug–target interaction prediction plays an important role in new drug discovery and drug repurposing. Binding affinity indicates the strength of drug–target interactions. Predicting drug–target binding affinity is expected to provide promising candidates for biologists, which can effectively reduce the workload of wet laboratory experiments and speed up the entire process of drug research. Given that, numerous new proteins are sequenced and compounds are synthesized, several improved computational methods have been proposed for such predictions, but there are still some challenges. (i) Many methods only discuss and implement one application scenario, they focus on drug repurposing and ignore the discovery of new drugs and targets. (ii) Many methods do not consider the priority order of proteins (or drugs) related to each target drug (or protein). Therefore, it is necessary to develop a comprehensive method that can be used in multiple scenarios and focuses on candidate order.

Results
In this study, we propose a method called NerLTR-DTA that uses the neighbor relationship of similarity and sharing to extract features, and applies a ranking framework with regression attributes to predict affinity values and priority order of query drug (or query target) and its related proteins (or compounds). It is worth noting that using the characteristics of learning to rank to set different queries can smartly realize the multi-scenario application of the method, including the discovery of new drugs and new targets. Experimental results on two commonly used datasets show that NerLTR-DTA outperforms some state-of-the-art competing methods. NerLTR-DTA achieves excellent performance in all application scenarios mentioned in this study, and the rm(test)2 values guarantee such excellent performance is not obtained by chance. Moreover, it can be concluded that NerLTR-DTA can provide accurate ranking lists for the relevant results of most queries through the statistics of the association relationship of each query drug (or query protein). In general, NerLTR-DTA is a powerful tool for predicting drug–target associations and can contribute to new drug discovery and drug repurposing.

Availability and implementation
The proposed method is implemented in Python and Java. Source codes and datasets are available at https://github.com/RUXIAOQING964914140/NerLTR-DTA.
Decomposition, identification and multiply robust estimation of natural mediation effects with multiple mediators
Authors: Xia Fan , Chan Kwun Chuen Gary 
Published: January 2022

Summary
Natural mediation effects are desirable estimands for studying causal mechanisms in a population, but complications arise in defining and estimating natural indirect effects through multiple mediators with an unspecified causal ordering. We propose a decomposition of the natural indirect effect of multiple mediators into individual components, termed exit indirect effects, and a remainder interaction term, and study the similarities to and differences from existing natural and interventional effects in the literature. We provide a set of identification assumptions for estimating all components of the proposed natural effect decomposition and derive the semiparametric efficiency bounds for the effects. The efficient influence functions contain conditional densities that are variationally dependent, which is uncommon in existing problems and may lead to model incompatibility. By ensuring model compatibility through a reparameterization based on copulas, our estimator is quadruply robust, which means that it remains consistent and asymptotically normal under four types of possible misspecification, and also is locally semiparametric efficient. We further propose a stabilized quadruply robust estimator to improve practical performance under possibly misspecified models, as well as a nonparametric extension based on sample splitting.
Towards Democratising Social Knowledge: A Political–Economic Analysis of the Departments of Social Work in Swiss Universities of Applied Sciences
Authors: Repetti Marion 
Published: January 2022

AbstractIn Switzerland, the relatively new social work departments are located in so-called universities of applied sciences (UASs), which provide a university-based and practice-oriented education. At the beginning, UASs were required to carry out ‘applied’ research and their teaching had to be ‘non-academic’, unlike in traditional universities. Although this definition is no longer present in the legal framework of tertiary education, it shapes policymakers’ representations. In reality, research and teaching agendas in UAS departments of social work have become similar to those of the social sciences departments in traditional universities. However, two aspects differentiate them from their counterparts in traditional universities and from other UAS departments today: Less research funding is available and social work students are more likely to accumulate socio-economic disadvantages compared to elsewhere. In this article, I discuss the role of social work departments in Switzerland, with a focus on the social knowledge they produce and transfer into teaching programmes and society. In addition, I use Arendt’s thoughts about knowledge, education and democracy to reflect on the existing gap between political representations of—and what takes place in—UAS departments of social work in Switzerland. The article ends with recommendations for policymakers in Switzerland and abroad.