bluuebunny/crossref_metadata_2025_split huggingface dataset:
Did Biden-Harris’s reforms on the Paycheck Protection Program reduce racial disparities in lending?
Authors: Filomeni Stefano , Querci Francesca 
Published: October 2024

AbstractIntroduced under the Trump-Pence Administration, the Paycheck Protection Program (PPP) provided short-term relief loans to small American businesses during the peak of the Coronavirus pandemic. The initial design of the PPP faced significant criticism from researchers due to racial disparities, among other issues, in its lending process. Minority groups received smaller PPP loan amounts during the original two tranches released in 2020. To increase equitable access for all, in February 2021 the Biden-Harris Administration enforced swift changes to the initial PPP aimed at favouring access to PPP loans for minority-owned small businesses that had been disadvantaged by the program’s original design under the Trump-Pence Administration. By exploiting a granular dataset of 1,759,270 PPP loans granted between Q2 2020 and Q2 2021 and by implementing a difference-in-differences approach (DID), this paper provides novel evidence on the effectiveness of the Biden reforms in reducing racial disparities within the Paycheck Protection Program. Indeed, we observe a significant increase in the volume of PPP loans granted to minority-owned businesses in the period following the Biden-Harris Administration’s reforms. Furthermore, among different minority groups, the reforms appear most effective for Native American minority groups (including American Indians, Alaska Natives, Native Hawaiians and/or Other Pacific Islanders), followed by Black Americans and Asian business owners. Our findings offer novel contributions to the existing literature on institutional discrimination, particularly regarding the initial PPP design. Our findings are especially valuable for policy makers as they underscore the importance of radical changes in addressing racial disparities. Our paper also offers evidence of how a public credit guarantee program should be designed to empower and promote economic inclusion for all, regardless of ethnicity, aligning with the UN’s Sustainable Development Goals.
Fostering Participatory Action Research in Higher Degree Research Settings Through a Transdisciplinary Peer-Mentoring Collaborative
Authors: Pratt Susanne , Heggart Keith , Christensen Pernille H. , Sankaran Shankar 
Published: October 2024

AbstractIn this paper we take inspiration from Levin’s (2003) provocation “can universities ever become a greenhouse for education in action research?” His assertion that creating action research learning opportunities within universities is possible becomes particularly relevant in the context of a changing Higher Degree Research (HDR) landscape, notably in Australia. The increasing emphasis on industry-focused doctorates and the demand for post-doctoral career pathways beyond academia necessitates a deeper understanding of supporting engaged and impact-oriented research training. To address these challenges, we present a reflexive discussion centred around the HDR Participatory Action Research (PAR) Collaborative—a year-long peer-learning initiative designed to cultivate a community of practice on transdisciplinary participatory research among graduate researchers at the University of Technology Sydney. This was conducted as a participatory action research project, with a systems-thinking orientation. We articulate lessons learned around the blockers and enablers for training HDR candidates engaged in participatory research to tackle wicked problems and ways to enhance HDR researcher development in this area, including the prototyping of new peer learning and mentoring approaches. By aligning with Levin’s emphasis on practical and useful knowledge, we highlight the importance of curriculum design for synchronous and asynchronous hybrid delivery, collective peer learning practices, and transdisciplinary orientations to research as crucial factors for success in action research programs within the academic context. By addressing the evolving needs of HDR training and research cultures, our study contributes to the ongoing dialogue on holistic and integrative research approaches and ways to support them within higher education.
Gyrodactylus serrai n. sp. (Gyrodactylidae), from the Near-Threatened Clanwilliam Sawfin, Cheilobarbus serra (Peters) (Cyprinidae, Smilogastrinae), in the Cape Fold Ecoregion, South Africa
Authors: Přikrylová Iva , Truter Marliese , Luus-Powell Wilmien J. , Chakona Albert , Smit Nico J. 
Published: October 2024

AbstractA new species of Gyrodactylus is described from the gills of the near-threatened Clanwilliam sawfin, Cheilobarbus serra (Smiliogastrinae) collected from the Matjies River, Cape Fold Ecoregion, Western Cape Province, South Africa. Morphometry and morphology of the haptoral hard parts (hamuli, bars and marginal hooks) of Gyrodactylus serrain. sp. differ from the other known species of the genus in the smaller size of hamuli and the shape and size of marginal hooks. Furthermore, ITS rDNA for the new species is unique among available Gyrodactylus spp. data in GenBank. Based on the uncorrected p-distances, G. serrain. sp. is genetically most closely related to Gyrodactylus moroccensis Rahmouni, 2023 and Gyrodactylus pseudomoroccensis Rahmouni, 2023 from two species of Luciobarbus (Barbinae) from northern Africa, with interspecific divergence of 8.7% and 8.8%, respectively. The presence of a median ridge in the terminal part of the ventral bar membrane at G. serrain. sp. most probably represents a morphological link to the North African Gyrodactylus spp. that suggests a morphogenetic association across the African continent as a result of ancient waterways that facilitated the dispersion of cyprinids and their parasite fauna or an independent evolution event retaining similarities from a common ancestor. The description of Gyrodactylus serrain. sp. represents only the second species of Gyrodactylus described from an endemic South African cyprinid host, underscoring the need for focused research on this group of fishes to provide a sound understanding of the parasitic communities of these highly threatened and poorly studied hosts.
MorphFlow: Estimating Motion in In-Situ Tests of Concrete
Authors: Nogatz T. , Redenbach C. , Schladitz K. 
Published: October 2024

Abstract

Background

In situ Computed Tomography is a valuable tool to investigate failure mechanics of materials in 3D. For brittle materials with sudden fracture like concrete however, state-of-the-art methods such as Digital Volume Correlation fail to produce displacement fields that display the discontinuous behavior of load induced cracking correctly.

Objective
The main objective is to develop an algorithm that calculates displacement fields for large-scale in situ experiments on concrete.

Methods
The algorithm presented is based on a 3D Optical Flow method solved by a primal-dual procedure and equipped with a coarse-to-fine scheme based on morphological wavelets. The algorithm is publicly available. Our evaluation focuses on the beneficial use of morphological wavelets over classical ones, and on the ability to produce reliable results with limited data. Applying the primal-dual scheme to in situ tests and using morphological wavelets are novel contributions.

Results
The results show that our algorithm cannot only cope with large volume images, but also produces discontinuous displacement fields that yield high strain in fractured regions. It does not only perform better than state-of-the-art methods, but also achieves sufficient results on reduced data. The morphological wavelets play a key role in this finding - they even allow to deduce cracks of widths less than a voxel.

Conclusion
Displacement calculation for in situ tests of brittle materials requires voxel-accurate displacement fields that allow for discontinuities. The presented algorithm fulfills these requirements and therefore is a powerful tool for future understanding of failure mechanics in concrete.
Temporal entry of pesticides through pollen into the bee hive and their fate in beeswax
Authors: Kast Christina , Müller Jan , Fracheboud Marion 
Published: October 2024

AbstractHoney bees are often exposed to a variety of contaminants, including pesticides from agricultural use. The aim of this study was to investigate the temporal entry of pesticides into the hive by examining the seasonal timing of honey bees bringing pesticide-contaminated pollen into their colonies and the subsequent accumulation of these pesticides in beeswax. Pollen and beeswax samples were collected biweekly from five colonies situated in an agricultural environment in Switzerland. In pollen, 23 pesticides (out of 50) were quantified, including 4 insecticides, 4 herbicides, 12 fungicides, a transformation product, an acaricide, and a synergist. The maximal insecticide concentration levels measured in individual pollen samples were 69.4 μg/kg (thiacloprid), 48.3 μg/kg (acetamiprid), 13.8 μg/kg (spinosad), and 11.1 μg/kg (indoxacarb), while fungicide levels ranged up to 2212.7 μg/kg (cyprodinil), and herbicides were up to 71.9 μg/kg (prosulfocarb). Eighteen of the pesticides found in pollen were also quantifiable in beeswax. Among these were 17 lipophilic pesticides with logarithmic octanol water coefficients (log Kow) equal or above 2.5, which showed similar temporal profiles and order of accumulation magnitude as in pollen. For example, maximal concentrations measured in individual beeswax samples were 12.4 μg/kg for indoxacarb (insecticide), 986.4 μg/kg for cyprodinil (fungicide), and 21.6 μg/kg for prosulfocarb (herbicide). Furthermore, pesticides with log Kow between 2.5 and 7.0 remained in the beeswax during wax purification. Our study shows that a large variety of pesticides brought into the hive through pollen potentially stay in the beeswax during recycling, thus constantly exposing honey bees to pesticides.
Gene and transcript expression patterns, coupled with isoform switching and long non-coding RNA dynamics in adipose tissue, underlie the longevity of Ames dwarf mice
Authors: Cano-Besquet Sebastian , Park Maiyon , Berkley Nadia , Wong Michelle , Ashiqueali Sarah , Noureddine Sarah , Gesing Adam , Schneider Augusto , Mason Jeffrey , Masternak Michal M. , Dhahbi Joseph M. 
Published: October 2024

AbstractOur study investigates gene expression in adipose tissue of Ames dwarf (df/df) mice, whose deficiency in growth hormone is linked to health and extended lifespan. Recognizing adipose tissue influence on metabolism, aging, and related diseases, we aim to understand its contribution to the health and longevity of df/df mice. We have identified gene and transcript expression patterns associated with critical biological functions, including metabolism, stress response, and resistance to cancer. Intriguingly, we identified genes that, despite maintaining unchanged expression levels, switch between different isoforms, impacting essential cellular functions such as tumor suppression, oncogenic activity, ATP transport, and lipid biosynthesis and storage. The isoform switching is associated with changes in protein domains, retention of introns, initiation of nonsense-mediated decay, and emergence of intrinsically disordered regions. Moreover, we detected various alternative splicing events that may drive these structural alterations. We also found changes in the expression of long non-coding RNAs (lncRNAs) that may be involved in the aging process and disease resistance by regulating crucial genes in survival and metabolism. Through weighted gene co-expression network analysis, we have linked four lncRNAs with 29 genes, which contribute to protein complexes such as the Mili-Tdrd1-Tdrd12 complex. Beyond safeguarding DNA integrity, this complex also has a wider impact on gene regulation, chromatin structure, and metabolic control. Our detailed investigation provides insight into the molecular foundations of the remarkable health and longevity of df/df mice, emphasizing the significance of adipose tissue in aging and identifying new avenues for health-promoting therapeutic strategies.
The Association Between Chronic Pain, Substance use, and Primary Care Experience Among Veterans with Ongoing or Recent Homelessness
Authors: Varley Allyson L. , DeRussy Aerin J. , Jones Audrey L. , Hoge April , Gordon Adam J. , Richman Joshua , Riggs Kevin R. , Gelberg Lillian , Gabrielian Sonya , Blosnich John R. , Montgomery Ann Elizabeth , Carey Evan , Kertesz Stefan G. 
Published: October 2024

Abstract
Background
Chronic pain and problematic substance use are prevalent among Veterans with homeless experience (VHE) and may contribute to a challenging primary care experience.

Objective
To examine the association of chronic pain and problematic substance use with unfavorable primary care experiences among VHE and to explore the association of pain treatment utilization and unfavorable care experiences in VHE with chronic pain.

Methods
We surveyed VHE (n = 3039) engaged in homeless-tailored primary care at 29 Veterans Affairs Medical Centers (VAMCs). We assessed unfavorable primary care experiences with four validated Primary Care Quality-Homeless (PCQ-H) scales: multivariable logistic regressions explored associations between unfavorable care experiences for VHE with chronic pain and problematic substance use, chronic pain alone, problematic substance use alone, or neither. We then examined the association between receipt of pain treatments and unfavorable experiences among VHE with chronic pain. Last, we identified PCQ-H items that had the greatest difference in unfavorable response rates between VHE with and without chronic pain.

Results
The prevalence of unfavorable primary care experience was higher on all four scales for patients reporting chronic pain (with or without problematic substance use) (all p < 0.001), but not for problematic substance use alone, compared to VHE with neither pain nor problematic substance use. In analyses limited to VHE with chronic pain, those on long-term opioids were less likely to report an unfavorable experience (OR = 0.49, 95%CI 0.34–0.69). Receipt of occupational therapy was associated with lower odds of reporting an unfavorable experience (OR = 0.83, 95%CI 0707–0.98). PCQ-H items related to trust, relationships, and provider communication had the greatest differences in dissatisfaction ratings (all p < 0.001).

Conclusions
Chronic pain is associated with unfavorable primary care experiences among VHE, potentially contributing to poor care outcomes. Strategies are needed to enhance patient-provider trust and communication and increase VHE’s access to effective pain treatments.
Physical, socio-psychological, and behavioural determinants of household energy consumption in the UK
Authors: Satre-Meloy Aven , Hampton Sam 
Published: October 2024

AbstractDetermining which attitudes and behaviours predict household energy consumption can help accelerate the low-carbon energy transition. Conventional approaches in this domain are limited, often relying on survey methods that produce data on individuals’ motivations and self-reported activities without pairing these with actual energy consumption records, which are particularly hard to collect for large, nationally representative samples. This challenge precludes the development of empirical evidence on which attitudes and behaviours influence patterns of energy consumption, thus limiting the extent to which these can inform energy interventions or conservation programs. This study demonstrates a novel methodology for estimating energy consumption in the absence of actual energy records by using a large, publicly available data set of energy consumption in the UK. We develop a predictive model using the Smart Energy Research Laboratory (SERL) data portal (with records from nearly 13,000 UK households) and then use this model to predict energy consumption (both electric and gas) for a sample of 1,000 UK householders for which we separately collect over 200 variables relating to climate change attitudes and practices. Our approach uses a set of over 50 independent variables that are shared between the data sets, allowing us to train a model on the SERL data and use it to analyse the relationship between energy consumption and the opinions, motivations, and daily practices of survey respondents. Results show that electricity consumption is influenced by a broader range of factors compared to gas. Household energy use is best explained by physical dwelling characteristics, socio-demographic variables, and certain behavioural and attitudinal measures. Notably, pro-environmental attitudes, frugality, and conscientiousness correlate with lower energy use, while income and consumerism are linked to higher consumption. We discuss how these findings can inform efforts to decarbonise home energy use in the UK.
Policy learning for policy change on energy efficiency in European companies
Authors: von Malmborg Fredrik 
Published: October 2024

AbstractThe EU energy efficiency directive (EED) includes provisions to stimulate increased energy efficiency in companies. Mandatory provisions were first introduced in 2012 and recast in 2023. Policy learning has been suggested as an important route to policy change. This paper analyses how and why policy learning helped revising EU legislation to enhance energy efficiency in companies, using provisions of mandatory energy audits as a case. Negative experience from member states’ governments with the original provisions were voiced shortly after the adoption of EED. A complex process going back and forth between member state and EU levels led by a learning agent facilitated collective learning and change of beliefs, first in member states then in the Council. Several cognitive biases among individuals in the European Commission led to non-learning at the individual level and blocked learning at the collective level. This further blocked policy learning in the EU when EED was amended in 2018. However, external crises and the entering office of a new Commission College in 2019 made the Commission to reconsider its beliefs. Political leadership opened a window for individual and collective learning in the Commission and policy learning in the EU when provisions were changed with the recast of EED in 2023. This suggests that individual and collective learning in the EC is key for policy change to happen. Without new beliefs in the EC, it is hard to get a topic onto the policy agenda. The paper proposes policy recommendations on how to facilitate policy learning and suggests areas for further research.
Global Dynamics and Integrability of a Leslie-Gower Predator–Prey Model with Linear Functional Response and Generalist Predator
Authors: Álvarez–Ramírez Martha , García–Saldaña Johanna D. , Medina Mario 
Published: October 2024

AbstractWe deal with a Leslie-Gower predator–prey model with a generalist or alternating food for predator and linear functional response. Using a topological equivalent polynomial system we prove that the system is not Liouvillian (hence also not Darboux) integrable. In order to study the global dynamics of this model, we use the Poincaré compactification of $${\mathbb {R}}^2$$

R

2

to characterize all phase portraits in the Poincaré disc, obtaining two different topological phase portraits.
Aflatoxins and fumonisins co-contamination effects on laying hens and use of mycotoxin detoxifiers as a mitigation strategy
Authors: Ochieng Phillis E. , Kemboi David C. , Okoth Sheila , De Baere Siegrid , Cavalier Etienne , Kang’ethe Erastus , Doupovec Barbara , Gathumbi James , Scippo Marie-Louise , Antonissen Gunther , Lindahl Johanna F. , Croubels Siska 
Published: October 2024

Abstract
This study examined the effects of fumonisins (FBs) and aflatoxin B1 (AFB1), alone or in combination, on the productivity and health of laying hens, as well as the transfer of aflatoxins (AFs) to chicken food products. The efficacy and safety of mycotoxin detoxifiers (bentonite and fumonisin esterase) to mitigate these effects were also assessed. Laying hens (400) were divided into 20 groups and fed a control, moderate (54.6 µg/kg feed) or high (546 µg/kg feed) AFB1 or FBs (7.9 mg/kg feed) added diets, either alone or in combination, with the mycotoxin detoxifiers added in selected diets. Productivity was evaluated by feed intake, egg weight, egg production, and feed conversion ratio whereas health was assessed by organ weights, blood biochemistry, and mortality. Aflatoxins residues in plasma, liver, muscle, and eggs were determined using UHPLC-MS/MS methods. A diet with AFB1 at a concentration of 546 µg/kg feed decreased egg production and various AFB1-contaminated diets increased serum uric acid levels and weights of liver, spleen, heart, and gizzard. Interactions between AFB1 and FBs significantly impacted spleen, heart, and gizzard weights as well as AFB1 residues in eggs. Maximum AFB1 residues of 0.64 µg/kg and aflatoxin M1 (below limits of quantification) were observed in liver, plasma, and eggs of layers fed diets with AFB1. The mycotoxin detoxifiers reduced effects of AFB1 and FBs on egg production, organ weights, blood biochemistry, and AFB1 residues in tissues. This study highlights the importance of mycotoxin detoxifiers as a mitigation strategy against mycotoxins in poultry production.
How is Excitotoxicity Being Modelled in iPSC-Derived Neurons?
Authors: Cheng Jan L. , Cook Anthony L. , Talbot Jana , Perry Sharn 
Published: October 2024

AbstractExcitotoxicity linked either to environmental causes (pesticide and cyanotoxin exposure), excitatory neurotransmitter imbalance, or to intrinsic neuronal hyperexcitability, is a pathological mechanism central to neurodegeneration in amyotrophic lateral sclerosis (ALS). Investigation of excitotoxic mechanisms using in vitro and in vivo animal models has been central to understanding ALS mechanisms of disease. In particular, advances in induced pluripotent stem cell (iPSC) technologies now provide human cell-based models that are readily amenable to environmental and network-based excitotoxic manipulations. The cell-type specific differentiation of iPSC, combined with approaches to modelling excitotoxicity that include editing of disease-associated gene variants, chemogenetics, and environmental risk-associated exposures make iPSC primed to examine gene-environment interactions and disease-associated excitotoxic mechanisms. Critical to this is knowledge of which neurotransmitter receptor subunits are expressed by iPSC-derived neuronal cultures being studied, how their activity responds to antagonists and agonists of these receptors, and how to interpret data derived from multi-parameter electrophysiological recordings. This review explores how iPSC-based studies have contributed to our understanding of ALS-linked excitotoxicity and highlights novel approaches to inducing excitotoxicity in iPSC-derived neurons to further our understanding of its pathological pathways.