bluuebunny/crossref_metadata_2025 huggingface dataset:
Iron as a precursor of aggregation and vector of organic carbon to sediments in a boreal lake
Authors: Herzog Simon David , Meklesh Viktoriia , Soares Margarida , Olsson Ulf , Persson Per , Kritzberg Emma Sofia
Published: October 2024

While organic matter (OM) interactions in the water column prevent iron (Fe) precipitation and sedimentation, Fe also acts as a precursor of aggregation and a vector of OM to sediments. This study aims to characterize Fe–OM interactions to understand the role of Fe in promoting aggregation and transport of OM. Samples of Fe and OM were collected from water, settling material, and sediment along a gradient starting from the inlet and continuing offshore within a boreal lake. Fe speciation was determined using X-ray absorption spectroscopy (XAS), and the chemical composition of OM was assessed using Diffuse reflectance infrared Fourier transform spectroscopy (DRIFT IR) and Nuclear magnetic resonance spectroscopy (NMR). The results show a decrease in Fe and OM concentrations in the water column with increasing distance from the inlet. Winter sampling revealed a shift in Fe speciation from dominance of organically complexed Fe to an increase in Fe(oxy)hydroxide, accompanied by a loss of aromatic and carboxylate function of OM. Summer sampling revealed no significant changes along the gradient, with Fe(oxy)hydroxide and carbohydrates dominating the water phase. Interestingly, settling particles and surface sediments were dominated by Fe(oxy)hydroxides and aliphatic OM. We propose that phototransformation may be an important process that influences the interaction between Fe and OM and, as a consequence, their fate along the spatial gradient. Our study suggests a photochemically induced loss of carboxylate groups, reflected by an increased carbohydrate-to-carboxylate ratio along the gradient, particularly in winter, and generally lower levels during summer. Loss of carboxylate function promotes the formation of Fe(oxy)hydroxides, which in turn, facilitates the aggregation and sinking of OM, particularly aliphatic components. These insights contribute to a broader understanding of carbon cycling and storage in lakes. Future studies should assess the significance of photochemical processes to OM burial and it how may change given trends in Fe and OM in northern regions.
Families with Internationally Adopted Children in Finland: A Study of Emotional Availability in the Early Interaction
Authors: Kuusela Katarina L. , Raaska Hanna , Elovainio Marko J. , Heikkilä Anna-Riitta , Hakulinen Christian A. , Flykt Marjo S. , Lapinleimu Helena
Published: October 2024

A well-functioning parent–child relationship is crucial for the child’s psychological development. We examined the Emotional Availability (EA) in the early interaction of internationally adopted children with their mothers. We also studied whether the quality of the interaction was associated with the sex of the adopted children, the age at the time of adoption, the time they had spent in the family and parental depressive symptoms. The study sample was part of the Finnish Adoption (FinAdo) study and included 79 children (mean age at adoption = 2.58 years, SD = 1.51 months, 37% girls) and their adoptive mothers in Finland. The mother–child interactions were examined with Emotional Availability Scales (EAS) during the first months after adoption (mean = 6.3 months). Our results showed that the overall EA scores were relatively high (mean 4.78–6.18), although the mean levels of parent sensitivity, parent non-intrusiveness, child responsiveness and child involvement were under the high zone of the EA (< 5.5). Children adopted at a younger age and boys received lower scores in the interaction analysis. Our results suggest that families with internationally adopted children seem to be able to create a well-functioning early relationship between the mother and the child.
Influence of habitat management and selected environmental parameters on the ground-living communities of harvestmen (Opiliones) in the historical park in Rusovce (Slovakia)
Authors: Litavský Juraj , Majzlan Oto , Langraf Vladimír , Žarnovičan Hubert
Published: October 2024

City parks serve as valuable refuges for invertebrates in the urban environment, which are constantly exposed to human influence caused by management practices in the parks. Many harvestman species are suitable bioindicators for monitoring ecological change; however, their effective use in environmental assessment necessitates to expand the insufficient knowledge of ecological environmental specificities of their communities. We studied the diversity and dynamics of harvestman (Opiliones) communities in the historical park in Rusovce, situated in the southwestern part of Bratislava (Slovakia). Seven study sites were investigated, representing areas subjected to different management practices. The research was conducted from March 2019 to April 2020, using pitfall traps. We evaluated the impact of microclimatic variables (soil and air temperature), environmental characteristics (plant diversity and cover of vegetation layers, age of forest stands, thickness of the litter layer), and management practices on the structure of harvestman communities. The study revealed the response of specific harvestman species to temperature variations, emphasizing the importance of microclimatic conditions. Environmental variables, such as the richness of plant species in the shrub layer, the cover of the herb and shrub vegetation layers, and the age of the forest stands, were identified as key factors that influence the dispersal of harvestman species. Furthermore, management practices, especially the presence of monoculture tree plantations, significantly affected the species composition of harvestmen. Examining the sensitivity of Opiliones, important bioindicators, to these factors is crucial for implementing effective conservation strategies in urban green spaces and anthropogenically influenced ecosystems.
Harnessing the lymphatic system
Authors: Ponikowska Barbara , Fudim Marat , Iwanek Gracjan , Zymliński Robert , Biegus Jan
Published: October 2024

Heart failure (HF) is a growing concern, with significant implications for mortality, morbidity, and economic sustainability. Traditionally viewed primarily as a hemodynamic disorder, recent insights have redefined HF as a complex systemic syndrome, emphasizing the importance of understanding its multifaceted pathophysiology. Fluid overload and congestion are central features of HF, often leading to clinical deterioration and hospital admissions, with the role of the lymphatic system previously largely overlooked, partly due to diagnostic challenges and visualization difficulties. With the advancement of those techniques, pathophysiological changes occurring in the lymphatic system during HF, such as enlargement of the thoracic duct and the increased lymphatic flow, are now becoming apparent. This emerging research has begun to uncover the interplay between lymphatic dysfunction and HF, suggesting novel therapeutic targets. Advances in molecular biology, such as targeting vascular endothelial growth factor and promoting lymphangiogenesis, hold promise for improving lymphatic function and mitigating HF complications. This article provides a comprehensive overview of the evolving landscape of lymphatic system-targeted therapies for HF. It explores various intervention levels, from mechanical lymphatic decongestion to pharmaceutical interactions and lymphatic micro-circulation, offering insights into future directions and potential clinical implications for HF management.
How Fast do Rumours Spread?
Authors: Roy Rishideep , Saha Kumarjit
Published: October 2024

We study a rumour propagation model along the lines of Lebensztayn and Rodriguez (Stat Probab Lett 78(14):2130–2136, 2008) as a long-range percolation model on $$\mathbb {Z}$$
Z
. We begin by showing a sharp phase transition-type behaviour in the sense of exponential decay of the survival time of the rumour cluster in the sub-critical phase. In the super-critical phase, under the assumption that radius of influence r.v. has $$2+\epsilon $$

2
+
ϵ

moment finite (for some $$\epsilon >0$$

ϵ
>
0

), we show that the rightmost vertex in the rumour cluster has a deterministic speed in the sense that after appropriate scaling, the location of the rightmost vertex converges a.s. to a deterministic positive constant. Under the assumption that radius of influence r.v. has $$4+\epsilon $$

4
+
ϵ

moment finite, we obtain a central limit theorem for appropriately scaled and centered rightmost vertex. Later, we introduce a rumour propagation model with reactivation. For this section, we work with a family of exponentially decaying i.i.d. radius of influence r.v.’s, and we obtain the speed result for the scaled rightmost position of the rumour cluster. Each of these results is novel, in the sense that such properties have never been established before in the context of the rumour propagation model on $$\mathbb {Z}$$
Z
, to the best of our knowledge.
DTI fiber-tracking parameters adjacent to gliomas: the role of tract irregularity value in operative planning, resection, and outcome
Authors: Armocida Daniele , Bianconi Andrea , Zancana Giuseppa , Jiang Tingting , Pesce Alessandro , Tartara Fulvio , Garbossa Diego , Salvati Maurizio , Santoro Antonio , Serra Carlo , Frati Alessandro
Published: October 2024

Purpose

The goal of glioma surgery is maximal tumor resection associated with minimal post-operative morbidity. Diffusion tensor imaging-tractography/fiber tracking (DTI-FT) is a valuable white-matter (WM) visualization tool for diagnosis and surgical planning. Still, it assumes a descriptive role since the main DTI metrics and parameters showed several limitations in clinical use. New applications and quantitative measurements were recently applied to describe WM architecture that surround the tumor area. The brain adjacent tumor area (BAT) is defined as the region adjacent to the gross tumor volume, which contains signal abnormalities on T2-weighted or FLAIR sequences. The DTI-FT analysis of the BAT can be adopted as predictive values and a guide for safe tumor resection.

Methods

This is an observational prospective study on an extensive series of glioma patients who performed magnetic resonance imaging (MRI) with pre-operative DTI-FT analyzed on the BAT by two different software. We examined DTI parameters of Fractional anisotropy (FA mean, min-max), Mean diffusivity (MD), and the shape-metric “tract irregularity” (TI) grade, comparing it with the surgical series’ clinical, radiological, and outcome data.

Results

The population consisted of 118 patients, with a mean age of 60.6 years. 82 patients suffering from high-grade gliomas (69.5%), and 36 from low-grade gliomas (30.5%). A significant inverse relationship exists between the FA mean value and grading (p = 0.001). The relationship appears directly proportional regarding MD values (p = 0.003) and TI values (p = 0.005). FA mean and MD values are susceptible to significant variations with tumor and edema volume (p = 0.05). TI showed an independent relationship with grading regardless of tumor radiological features and dimensions, with a direct relationship with grading, ki67% (p = 0,05), PFS (p < 0.001), and EOR (p < 0.01).

Conclusion

FA, MD, and TI are useful predictive measures of the clinical behavior of glioma, and TI could be helpful for tumor grading identification and surgical planning.
Did Biden-Harris’s reforms on the Paycheck Protection Program reduce racial disparities in lending?
Authors: Filomeni Stefano , Querci Francesca
Published: October 2024

Introduced 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

In 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

A 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

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

Honey 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

Our 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

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

Determining 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

The 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

We 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

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

Excitotoxicity 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.
Advancing Nuclear Research and Education in Slovenia and EU: From Operating the TRIGA Reactor to Building a New Generation Facility
Authors: Malec Jan , Tiselj Iztok , Cizelj Leon , Pungerčič Anže , Goričanec Tanja , Snoj Luka
Published: October 2024

The TRIGA Mark II research reactor at the Jožef Stefan Institute in Slovenia achieved first criticality in 1966. Since then, the reactor has been playing an important role in developing nuclear technology. The reactor has been mainly used for research, education of university students, training of operators of the Krško nuclear power plant (start of operation in 1983) and other nuclear specialists, isotope production and beam applications. The reactor is experiencing a high level of activity today, engaging in a diverse range of experiments and studies across reactor physics, environmental research, radiation hardness testing as well training and education. The future of nuclear technology in Slovenia is focused on new NPPs, while the research community is looking forward to a possible new nuclear reactor. The basic initiatives are at a very preliminary stage: the primary choice is dual-core pool-type reactor, with a zero-power core and a separate MW-size core, cooled and moderated with light water. Such a dual-core configuration is designed to meet the varied requirements of the European Union member states. Another option would be hosting one or more micro-reactors with electrical and/or heating power producing capability that could offer stronger support toward demonstration of prototype small modular reactors in prototype future electrical grids.
WS6 and 5-iodotubercidin small molecules and growth factors; TGF, HGF, and EGF synergistically enhance proliferation of β-like human induced pluripotent stem cells (iPSCs)
Authors: Akhavan Saeedeh , Sanati Mohammad Hossein , Irani Shiva , Soheili Zahra-Soheila , Arpanaei Ayyoob
Published: October 2024

Objectives

It has been shown that growth factors and small molecules play an essential role in the proliferation of β cells and insulin production. In this study, we investigated the effects of small molecules (WS6 and 5-iodotubercidin) and growth factors (TGFβ, HGF, and EGF) on the proliferation of β-like human ipSCs.

Methods

iPSCs derived β cells were treated with small molecules and growth factors. Cytotoxic activity of small molecules and growth factors was determined using MTT assay. Insulin gene expression and secretion were measured by qPCR and ELISA, respectively. The protein expression of insulin was evaluated by western blot as well.

Results

Simltananeous addition of WS6 and Harmine into the culture media increased insulin gene expression compared to treatment by each molecule alone (p < 0.05). It was found that the simultaneous recruitment of EGH, HGF, and TGF-β increased insulin expression compared to treatment by each molecule alone (p < 0.05). Results showed that EGF, HGF, TGF-β growth factors increased insulin gene expression, eventually leading to insulin secretion from β cells (p < 0.05).

Conclusions

Growth factors and small molecules synergistically enhanced the proliferation of β cells and insulin production.
Potential for pulp revascularization in mature anterior teeth with lateral luxation in relation to the patient’s age at the time of injury—a retrospective cohort study
Authors: Henriksen J. S. , Lauridsen E. , Jensen S. S. , Gerds T. A. , Hermann N. V.
Published: October 2024

Purpose

The aim of this study was to investigate the potential for pulp revascularization in relation to patient age at the time of injury following luxation injury of mature anterior permanent teeth.

Materials and methods

A total of 93 teeth from 70 patients were included. The patients were divided into subgroups based on their age at the time of the injury. Statistics: the Aalen–Johansen method was used to estimate the risks of pulp canal obliteration (PCO) and pulp necrosis (PN). The absolute 2 year risks of PCO and PN were obtained with cause-specific Cox regression and reported separately for each cohort, standardised to age at injury and degree of repositioning.

Results

For the group younger than 15 years of age, the risk of PN after 12 months was 62.3% [95% CI 44.9; 79.7] in the cohort from 1972 to 1980 and 28.6% [95% CI 4.9; 52.2] in the cohort from 2012 to 2020. For the age group 16–20 years, the risk of PN after 12 months was 66.7 [95% CI 40.0;93.3] in the cohort from 1972 to 1980 and 25% [95% CI 0.0;55.0] in the cohort from 2012 to 2020. For the age group between 21 and 25, the risk of PN after 12 months was 66.7% [95% CI 40.0; 93.3] in the cohort from 1972 to 1980 and 55.6% [95% CI 23.1; 88.0] in the cohort from 2012 to 2020.

Conclusion

There is potential for pulp revascularization in mature anterior teeth with lateral luxation in patients up to 25 years of age. The risk of PN appears to increase with age.
Integrating Genomic Data with the Development of CRISPR-Based Point-of-Care-Testing for Bacterial Infections
Authors: Wanitchanon Thanyapat , Chewapreecha Claire , Uttamapinant Chayasith
Published: October 2024

Purpose of Review

Bacterial infections and antibiotic resistance contribute to global mortality. Despite many infections being preventable and treatable, the lack of reliable and accessible diagnostic tools exacerbates these issues. CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)-based diagnostics has emerged as a promising solution. However, the development of CRISPR diagnostics has often occurred in isolation, with limited integration of genomic data to guide target selection. In this review, we explore the synergy between bacterial genomics and CRISPR-based point-of-care tests (POCT), highlighting how genomic insights can inform target selection and enhance diagnostic accuracy.

Recent Findings

We review recent advances in CRISPR-based technologies, focusing on the critical role of target sequence selection in improving the sensitivity of CRISPR-based diagnostics. Additionally, we examine the implementation of these technologies in resource-limited settings across Asia and Africa, presenting successful case studies that demonstrate their potential.

The integration of bacterial genomics with CRISPR technology offers significant promise for the development of effective point-of-care diagnostics.
Investigations of the Cold Box Core Curing Stage Using an Augmented Simulation Approach
Authors: Khan M. S. , Mrowka N. M. , Sablowski J. , Asghar M. T. , Kupsch C. , Szucki M.
Published: October 2024

Foundry sand cores are used to produce complex metal castings. They are manufactured on universal coremaking machines in two distinct stages, shooting and curing. Various simulation tools exist to optimize the coremaking process. Numerical modeling of the two distinct process stages is challenging as it involves different tooling, raw materials, and process parameters. Additionally, each stage requires appropriate mathematical modeling of the fluid flow since the relevant physical phenomena are different. The state-of-the-art combined simulation approach (CA) can simulate these two stages in sequence using a Core shooting & curing module. The gassing system (GS) is also important to consider when calculating the complete physical mass flow during the curing stage in CA. An augmented simulation approach (AA) is proposed, which can include GS in the coremaking simulations. This approach enables the execution of two-stage combined simulations (CA) using Magma C + M software (SW1) and incorporates GS data using FLOW-3D CAST software (SW2). In order to analyze the influence of including selected factors such as the hopper during the shooting stage and GS during the curing stage, the simulation approaches CA and AA were compared. The simulation results were correlated with experiment results (EX) to analyze sand density distribution and different curing times, focusing on the final core quality. Quantity analysis has been done among EX samples to observe the cured core trend. The results obtained from AA exhibit a significantly better correlation with EX than with CA. The proposed augmented approach offers significant potential for the improved analysis, optimization, and accurate prediction of complex coremaking processes within polyurethane (PU) Cold Box Systems.
Triple S-scheme BiOBr@LaNiO3/CuBi2O4/Bi2WO6 heterojunction with plasmonic Bi-induced stability: deviation from quadruple S-scheme and mechanistic investigation
Authors: Malefane Mope Edwin , Khutlane Joyce Tsepiso , Managa Muthumuni , van Sittert Cornelia Gertina Catharina Elizabet , Nkambule Thabo Thokozani Innocent , Kuvarega Alex Tawanda
Published: October 2024

The investigation and understanding of heterointerfaces formation and charge transfer dynamics in two or more semiconductor heterojunctions increased ensuing establishment of S-scheme and dual S-scheme heterojunctions. However, investigations of possible charge transfer at interfaces and their type in four component systems are limited. Herein, a four-component heterojunction was investigated to postulate and demonstrate deviation between quadruple and triple S-scheme heterojunctions possibilities using LaNiO3, BiOBr, CuBi2O4, and Bi2WO6. DFT and XPS were used to construct the band structure and support the charge transfer at the interfaces to follow S-S strategy during OTC and SMX degradation under visible light. IEF, bend bending systematically modulated charge transfer, and the core-shell strategy restricted possible junctions’ formation to three to accord triple S-scheme heterojunction. This work demonstrated the construction of Triple S-scheme heterostructures as a promising strategy for efficient charge separation making it a suitable candidate for elimination of pollutants.
Relevant biochar characteristics influencing compressive strength of biochar-cement mortars
Authors: Hylton Julia , Hugen Aaron , Rowland Steven M. , Griffin Michael , Tunstall Lori E.
Published: October 2024

To counteract the contribution of CO2 emissions by cement production and utilization, biochar is being harnessed as a carbon-negative additive in concrete. Increasing the cement replacement and biochar dosage will increase the carbon offset, but there is large variability in methods being used and many researchers report strength decreases at cement replacements beyond 5%. This work presents a reliable method to replace 10% of the cement mass with a vast selection of biochars without decreasing ultimate compressive strength, and in many cases significantly improving it. By carefully quantifying the physical and chemical properties of each biochar used, machine learning algorithms were used to elucidate the three most influential biochar characteristics that control mortar strength: initial saturation percentage, oxygen-to-carbon ratio, and soluble silicon. These results provide additional research avenues for utilizing several potential biomass waste streams to increase the biochar dosage in cement mixes without decreasing mechanical properties.

Graphical Abstract
Functional retrogression of LOFSEPs in specifying floral organs in barley
Authors: Shen Chaoqun , Yang Xiujuan , Wang Duoxiang , Li Gang , Tucker Matthew R.
Published: October 2024

The barley genome encodes a complete set of MADS-box proteins sharing homology with components of the ABCDE model, which explains the molecular basis of floral organ identity in angiosperm flowers. Although the E-class members are universally expressed across floral whorls and crucial for flower development in Arabidopsis and rice, the functional role of the barley E-class LOFSEP subfamily (comprising MADS1, MADS5, and MADS34) remains elusive, particularly during spikelet formation. Here, we characterize the single, double and triple lofsep mutants in barley in an attempt to overcome the anticipated genetic redundancy. Surprisingly, loss of function of all LOFSEP members only disturbs lemma development, either converting this hull organ into a leaf-like structure or reducing its size. The inner organs, including lodicules, anthers and pistil remain unaffected. A systematic interrogation of how ABCDE class genes are affected in all whorls of the mutants was undertaken. Generally, in the lemma and palea of the lofsep mutants, A- and E-class genes are hyperactivated, B- and C- classes are slightly repressed, and D-class genes show unchanged expression in these inner organs. Intriguingly, loss of function of MADS6, an AGL6 member closely related to the E-class genes, leads to most organs being transformed into lemma-like organs with new spikelets generated from the center of the flower. Contrasting with rice, these findings suggest barley LOFSEPs may have regressed in determining floral organ identity, and this could be partially compensated by HvMADS6.
Comparing traditional and automated conservation assessments for Himalayan species of Buddleja
Authors: Gurung Bishal , Chen Gao , Ge Jia
Published: October 2024

To compare the benefits and drawbacks of traditional and automated conservation assessments, we used a field-based study and automated conservation assessments using GeoCAT, red and ConR to assess four species of Buddleja (Scrophulariaceae), a cosmopolitan genus of flowering plants. Buddleja colvilei, Buddleja sessilifolia, Buddleja delavayi and Buddleja yunnanensis are endemic to the Himalayan region. They have not yet been assessed for the IUCN Red List of Threatened Species but are facing elevated risks of extinction because of various anthropogenic and environmental pressures. Buddleja sessilifolia and B. delavayi are listed as Plant Species with Extremely Small Populations in Yunnan, China, where they are known to be threatened. Although automated assessments evaluated B. delavayi and B. yunnanensis as Endangered and B. sessilifolia and B. colvilei as Vulnerable, our field studies indicated a different categorization for three of the species: B. delavayi and B. yunnanensis as Critically Endangered and B. sessilifolia as Endangered. Our findings indicate that the accuracy and reliability of assessment methods can differ and that field surveys remain important for conservation assessments. We recommend an integrated approach addressing these limitations, to safeguard the future of other species endemic to the Himalayan region.