bluuebunny/crossref_metadata_2025 huggingface dataset:
Refugee Women’s Intersecting Social Locations: A Contemporary Perspective on the Process of Becoming a Refugee Woman
Authors: Borges Gabriela Mesquita
Published: September 2024

This article explores the convergence of narrative criminology and refugee women’s experiences, framing the intricate process of becoming a refugee woman as “Refugee women’s intersecting social locations”. Building on previous research addressing violence (Borges, in J Int Migr Integr 25:673–693. https://doi.org/10.1007/s12134-023-01102-z, 2023) and agency (Borges, in Comp Migr Stud, 2024), this study incorporates insights from 24 interviews with Middle Eastern and African refugee women living in Portugal, their host country. It challenges the dichotomy of violence and agency, emphasizing their interconnected nature in shaping a better life. Aligned with (Pemberton & Aarten, Studies in Conflict & Terrorism 41:541–556, 2018) narrative constructs, the discussion underscores the centrality of narrative to identity, its role in emotions, and its importance in connecting individual lives to broader cultural contexts. This narrative-centric approach contributes valuable insights to migration studies, informing gender-based policies and practices for enhanced support and offering a model for future research in the field.
A method for siting adsorption-based direct air carbon capture and storage plants for maximum CO2 removal
Authors: Rezo D. , Postweiler P. , Engelpracht M. , Meuleneers L. , von der Aßen N.
Published: September 2024

Adsorption-based direct air carbon capture and storage (DACCS) is an emerging approach to mitigate climate change by removing CO2 from the atmosphere. Recent studies show separately that thermodynamic and environmental performance strongly depend on regional ambient conditions and energy supply but neglect regional CO2 storage potentials. To assess DACCS performance holistically, a detailed global analysis is needed that accounts for the interplay of regional ambient conditions, energy supply, and CO2 storage potential. Hence, we present a novel method for the optimal siting of DACCS plants derived from optimising a dynamic process model that uses global hourly weather data and regionalised data on electricity supply and CO2 storage potential. The carbon removal rate (CRR) measures the climate benefit and describes the speed at which a DACCS plant generates net negative emissions. First, we assume that CO2 storage is possible everywhere. For four electricity supply scenarios, we show that the optimal siting of DACCS significantly increases the CRR when comparing the best and worst locations in each scenario: For a DACCS plant with a nameplate capture capacity of 4 kt CO2 y−1, the CRR can be increased by 63% from 2.16 to 3.53 kt CO2 y‑1 when using photovoltaic, and by 39% from 2.95 to 4.1 kt CO2 y‑1 when using wind power. Assuming a carbon-free electricity supply, the CRR varies between 3.17 and 4.17 kt CO2 y‑1 (32%). Second, we significantly narrow down optimal locations for DACCS considering regional CO2 storage potential through CO2 mineralisation. Overall, accounting for the interplay of regional DAC performance, energy supply, and CO2 storage potential can significantly improve DACCS siting.
Alginate oligosaccharide supplementation improves boar semen quality under heat stress
Authors: Zhou Yexun , Wei Zeou , Tan Jiajian , Sun Haiqing , Jiang Haidi , Gao Yang , Zhang Hongfu , Schroyen Martine
Published: September 2024

Heat stress is a serious problem that affects animal husbandry by reducing growth and reproductive performance of animals. Adding plant extracts to the diet is an effective way to help overcome this problem. Alginate oligosaccharide (AOS) is a natural non-toxic antioxidant with multiple biological activities. This study analyzed the potential mechanism of AOS in alleviating heat stress and improving semen quality in boars through a combination of multiple omics tools. The results indicated that AOS could significantly increase sperm motility (P < 0.001) and sperm concentration (P < 0.05). At the same time, AOS improved the antioxidant capacity of blood and semen, and increased blood testosterone (P < 0.05) level. AOS could improve the metabolites in sperm, change the composition of gut microbiota, increase the relative abundance of beneficial bacteria such as Pseudomonas (P < 0.01), Escherichia-Shigella (P < 0.05), Bifidobacterium (P < 0.01), reduce the relative abundance of harmful bacteria such as Prevotella_9 (P < 0.05), Prevotellaceae_UCG-001 (P < 0.01), and increase the content of short chain fatty acids. Proteomic results showed that AOS increased proteins related to spermatogenesis, while decreasing heat shock protein 70 (P < 0.05) and heat shock protein 90 (P < 0.01). These results were verified using immunofluorescence staining technology. There was a good correlation among sperm quality, sperm metabolome, sperm proteome, and gut microbiota. In conclusion, AOS can be used as a feed additive to increase the semen quality of boars to enhance reproductive performance under heat stress.
Transmedia skill derived from the process of converting films into educational games with augmented reality and artificial intelligence
Authors: Del Moral-Pérez M. Esther , López-Bouzas Nerea , Castañeda-Fernández Jonathan
Published: September 2024

Transmedia skill, derived from the process of converting films into educational games using augmented reality and artificial intelligence, involves employing various languages and mediums to adapt an original narrative to another format. This transmedia practice presents an opportunity to cultivate diverse skills in teacher training by transforming film narratives into educational games with Augmented Reality (AR) and Artificial Intelligence (AI). Moreover, these educational games enable student engagement in missions or challenges, enhancing their engagement with educational activities. Thus, this research stems from an Innovation project implemented in the Degree in Early Childhood Education (N=77) with two groups of university students who developed 24 educational games in physical and digital formats. The objectives are: 1) to compare the transmedia process adopted by both groups when converting children's animation films into games, some in digital format and others combining physical and digital resources; and 2) to analyze their transmedia skill reflected in the games developed. The methodology adopted is non-experimental empirical, with a descriptive and comparative nature. Two instruments were designed and validated, one to analyze the transmedia process followed in each case and another to ascertain the level of transmedia skill of the university students. The results reveal that both groups chose different creative approaches to gamify the films, expanding their stories by leveraging the potential of AR and AI to create interactive characters and settings. From this, their transmedia capability could be inferred. Thus, the use of digital applications to collaboratively design games—utilizing film narratives—represented an innovation in their training, holistically enhancing various skills. In conclusion, this experience presents an opportunity to increase the transmedia skills of future educators.
Lessons learned from implementation of an electronic decision support tool for hospital-administered pneumococcal vaccinations
Authors: Malhotra Sanchi , Martin-Blais Rachel , Pineda Ross , Kanatani Meganne , Kaur Ishminder , de St. Maurice Annabelle
Published: September 2024

Experts recommend standing orders for hospital-administered vaccines to improve adult immunization rates. We implemented an admission assessment tool to offer pneumococcal vaccine to eligible hospitalized patients. We retrospectively reviewed vaccines for guideline concordance and found that immunization rates increased but less than half of study patients received the correct vaccine.
“A Colony to Themselves”: Scottish Highland Settler Colonialism in British North America, 1770–1804
Authors: Kehoe S. Karly , O'Neill Ciaran
Published: September 2024

This article explores the links between anti-Catholicism in the United Kingdom and the acceleration of settler colonialism in British North America, and it does so by considering two group migrations from Catholic districts in the North West Highlands and Islands of Scotland. Occurring over 30 years apart, the Glenaladale settlement (1772) in Prince Edward Island and the Glengarry settlement (1803) in Upper Canada offer instructive insight into how anti-Catholicism activated Highland Catholic colonial agency. Not only did significant numbers of Highland Catholics choose to quit Scotland forever, but their settlement in places like Prince Edward Island and Upper Canada accelerated the process of settler colonialism and the establishment of the Catholic Church. The colonies at Glengarry and Glenaladale were peopled by settlers who were doubly motivated to settle in the empire. They stood to prosper economically—certainly—and they also stood to gain the freedom to practice their faith free of obvious interference. To the Indigenous peoples whose ancestral lands they settled, the consequences were not softened by this pretext for settler colonization, and too often the history of anti-Catholic discrimination in the four nations elide the fact that Catholics were enthusiastic colonizers elsewhere, and that the two processes were often related.
Cross-lingual dependency parsing for a language with a unique script
Authors: Zhou He , Dakota Daniel , Kübler Sandra
Published: September 2024

Syntactic parsing is one of the areas in Natural Language Processing. The development of large-scale multilingual language models has enabled cross-lingual parsing approaches, which allows us to develop parsers for languages that do not have treebanks available. However, these approaches rely on the assumption that languages share orthographic representations and lexical entries. In this article, we investigate methods for developing a dependency parser for Xibe, a low-resource language that is written in a unique script. We first investigate lexicalized monolingual dependency parsing experiments to examine the effectiveness of word, part-of-speech, and character embeddings as well as pre-trained language models. Results show that character embeddings can significantly improve performance, while pre-trained language models decrease performance since they do not recognize the Xibe script. We also train delexicalized monolingual models, which yield competitive results to the best lexicalized model. Since the monolingual models are trained on a very small training set, we also investigate lexicalized and delexicalized cross-lingual models. We use six closely related languages as source language, which cover a wide range of scripts. In this setting, the delexicalized models achieve higher performance than lexicalized models. A final experiment shows that we can increase performance of the cross-lingual model by combining source languages and selecting the most similar sentences to Xibe as training set. However, all cross-lingual parsing results are still considerably lower than the monolingual model. We attribute the low performance of cross-lingual methods to syntactic and annotation differences as well as to the impoverished input of Universal Dependency Part-of-Speech tags that the delexicalized model has access to.
THERE IS NO SUCH THING AS THE SEPARABILITY THESIS
Authors: Kramer Matthew H.
Published: September 2024

One commendable aspect of the ruminations by H.L.A Hart on legal positivism, which quite a few contemporary philosophers of law have not fully absorbed, is that he recognised the diversity of the points of contention that have pitted the devotees of positivism against the devotees of natural-law theories. Whereas some present-day philosophers of law are inclined to refer to “the separability thesis” of legal positivism – with the definite article “the” as a signal that there is one defining point of dispute between legal positivists and their opponents – Hart knew that there is no single such thesis. Natural-law theorists have in fact postulated numerous connections between law and morality which putatively clinch the character of law as an inherently moral phenomenon, and legal positivists have posed challenges to each of those connections or to the claim that any unchallenged connection serves to establish the inherently moral character of law.
THE IDENTIFICATION OF THE PELOPONNESIAN APIS WITH THE EGYPTIAN SERAPIS IN ARNOBIUS, ADVERSVS NATIONES 1.36.6
Authors: Ortiz-García Jónatan
Published: September 2024

This article examines a brief mention of the Egyptian gods Apis and Serapis in the Aduersus nationes by Arnobius of Sicca. This reference is situated within the context of several traditions dealing with the origin and connections of both of these mythical figures transmitted with some variations until Late Antiquity. It is proposed that the Peloponnesian Apis is identified with the Egyptian Serapis through a tradition already attested in Classical Greek authors, though without it being possible to determine which author is the specific reference for the Arnobian text.
A multi-modal assessment of self-knowledge in adolescents with non-suicidal self-injury: a research domains criteria (RDoC) study
Authors: Thai Michelle , Başgöze Zeynep , Westlund Schreiner Melinda , Roediger Donovan J. , Falke Chloe A. , Mueller Bryon A. , Fiecas Mark B. , Quevedo Karina , Pfeifer Jennifer H. , Klimes-Dougan Bonnie , Cullen Kathryn R.
Published: September 2024

Background

Adolescence is a critical period for brain development, consolidation of self-understanding, and onset of non-suicidal self-injury (NSSI). This study evaluated the RDoC (Research Domain Criteria) sub-construct of Self-Knowledge in relation to adolescent NSSI using multiple units of analysis.

Methods

One hundred and sixty-four adolescents assigned female at birth (AFAB), ages 12–16 years with and without a history of NSSI entered a study involving clinical assessment and magnetic resonance imaging (MRI), including structural, resting-state functional MRI (fMRI), and fMRI during a self-evaluation task. For imaging analyses, we used an a priori defined Self Network (anterior cingulate, orbitofrontal, and posterior cingulate cortices; precuneus). We first examined interrelationships among multi-level Self variables. We then evaluated the individual relationships between NSSI severity and multi-level Self variables (self-report, behavior, multi-modal brain Self Network measures), then conducted model testing and multiple regression to test how Self variables (together) predicted NSSI severity.

Results

Cross-correlations revealed key links between self-reported global self-worth and self-evaluation task behavior. Individually, greater NSSI severity correlated with lower global self-worth, more frequent and faster negative self-evaluations, lower anterior Self Network activation during self-evaluation, and lower anterior and posterior Self Network resting-state connectivity. Multiple regression analysis revealed the model including multi-level Self variables explained NSSI better than a covariate-only model; the strongest predictive variables included self-worth, self-evaluation task behavior, and resting-state connectivity.

Conclusions

Disruptions in Self-Knowledge across multiple levels of analysis relate to NSSI in adolescents. Findings suggest potential neurobiological treatment targets, potentially enhancing neuroplasticity in Self systems to facilitate greater flexibility (more frequently positive) of self-views in AFAB adolescents.
Statistical implication analysis: a novel approach to understand the reciprocal relationships between outcomes in early psychosis
Authors: Golay Philippe , Abrahamyan Empson Lilith , Mebdouhi Nadir , Conchon Caroline , Bonnarel Vincent , Conus Philippe , Alameda Luis
Published: September 2024

Background

Patients can respond differently to intervention in the early phase of psychosis. Diverse symptomatic and functional outcomes can be distinguished and achieving one outcome may mean achieving another, but not necessarily the other way round, which is difficult to disentangle with cross-sectional data. The present study's goal was to evaluate implicative relationships between diverse functional outcomes to better understand their reciprocal dependencies in a cross-sectional design, by using statistical implication analysis (SIA).

Methods

Early psychosis patients of an early intervention program were evaluated for different outcomes (symptomatic response, functional recovery, and working/living independently) after 36 months of treatment. To determine which positive outcomes implied other positive outcomes, SIA was conducted by using the Iota statistical implication index, a newly developed approach allowing to measure asymmetrical bidirectional relationships between outcomes.

Results

Two hundred and nineteen recent onset patients with early psychosis were assessed. Results at the end of the three-years in TIPP showed that working independently statistically implied achieving all other outcomes. Symptomatic and functional recovery reciprocally implied one another. Living independently weakly implied symptomatic and functional recovery and did not imply independent working.

Conclusions

The concept of implication is an interesting way of evaluating dependencies between outcomes as it allows us to overcome the tendency to presume symmetrical relationships between them. We argue that a better understanding of reciprocal dependencies within psychopathology can provide an impetus to tailormade treatments and SIA is a useful tool to address this issue in cross-sectional designs.
Testing maternal effects of vitamin-D and omega-3 levels on offspring neurodevelopmental traits in the Norwegian Mother, Father and Child Cohort Study
Authors: Wootton Robyn E. , Dack Kyle , Jones Hannah J. , Riglin Lucy , Madley-Dowd Paul , Borges Carolina , Pagoni Panagiota , Roth Christine , Brantsæter Anne Lise , Corfield Elizabeth C. , Stoltenberg Camilla , Øyen Anne-Siri , Davey Smith George , Ask Helga , Thapar Anita , Stergiakouli Evie , Havdahl Alexandra
Published: September 2024

Background

Maternal vitamin-D and omega-3 fatty acid (DHA) deficiencies during pregnancy have previously been associated with offspring neurodevelopmental traits. However, observational study designs cannot distinguish causal effects from confounding.

Methods

First, we conducted Mendelian randomisation (MR) using genetic instruments for vitamin-D and DHA identified in independent genome-wide association studies (GWAS). Outcomes were (1) GWAS for traits related to autism and ADHD, generated in the Norwegian mother, father, and child cohort study (MoBa) from 3 to 8 years, (2) autism and ADHD diagnoses. Second, we used mother–father–child trio-MR in MoBa (1) to test causal effects through maternal nutrient levels, (2) to test effects of child nutrient levels, and (3) as a paternal negative control.

Results

Associations between higher maternal vitamin-D levels on lower ADHD related traits at age 5 did not remain after controlling for familial genetic predisposition using trio-MR. Furthermore, we did not find evidence for causal maternal effects of vitamin-D/DHA levels on other offspring traits or diagnoses. In the reverse direction, there was evidence for a causal effect of autism genetic predisposition on lower vitamin-D levels and of ADHD genetic predisposition on lower DHA levels.

Conclusions

Triangulating across study designs, we did not find evidence for maternal effects. We add to a growing body of evidence that suggests that previous observational associations are likely biased by genetic confounding. Consequently, maternal supplementation is unlikely to influence these offspring neurodevelopmental traits. Notably, genetic predisposition to ADHD and autism was associated with lower DHA and vitamin-D levels respectively, suggesting previous associations might have been due to reverse causation.
Exposure to green spaces and schizophrenia: a systematic review
Authors: Marcham Louise , Ellett Lyn
Published: September 2024

The mental health benefits of exposure to green spaces are well known. This systematic review summarizes the evidence of green space exposure for people with schizophrenia spectrum disorders (SSDs), focusing on incidence and mental health outcomes, including mental health symptoms and health service use. The study was pre-registered (PROSPERO ID: CRD42023431954), and conducted according to PRISMA guidelines. Seven databases, reference lists, and gray literature sources were searched. Methodological quality was assessed using The Quality Assessment Tool for Quantitative Studies. 126 studies were screened, and 12 studies were eligible for inclusion. Seven studies found that exposure to green space was associated with a reduced risk of schizophrenia (lowest to highest green space exposure: HRs = 0.62–0.37; IRRs = 1.52–1.18), with five studies reporting a dose-response relationship. Of these studies, four examined childhood exposure and the remainder examined adult exposure. Regarding health service use, proximity to green space was not significantly associated with length of hospital admission, though greater green space exposure was associated with reduced hospital admission rates. Three studies found reduced symptoms of anxiety (d = −0.70–2.42), depression (d = −0.97–1.70) and psychosis (d = −0.94) with greater green space exposure. Exposure to green space reduces the risk of schizophrenia, and there is emerging evidence of the potential benefits of green space for reducing symptoms and health service use among people with SSDs. Future research using experimental and longitudinal designs will provide more robust evidence of the benefits of green space for people with SSDs.
Alterations in fear learning as a mechanism linking childhood exposure to violence with PTSD symptoms: a longitudinal study
Authors: Machlin Laura , Sheridan Margaret A. , Lurie Lucy A. , Kasparek Steven W. , Kim Stephanie Gyuri , Peverill Matthew , France John McClellan , Robertson Madeline M. , Jovanovic Tanja , Lengua Liliana J. , McLaughlin Katie A.
Published: September 2024

Background

Fear learning is a core component of conceptual models of how adverse experiences may influence psychopathology. Specifically, existing theories posit that childhood experiences involving childhood trauma are associated with altered fear learning processes, while experiences involving deprivation are not. Several studies have found altered fear acquisition in youth exposed to trauma, but not deprivation, although the specific patterns have varied across studies. The present study utilizes a longitudinal sample of children with variability in adversity experiences to examine associations among childhood trauma, fear learning, and psychopathology in youth.

Methods

The sample includes 170 youths aged 10–13 years (M = 11.56, s.d. = 0.47, 48.24% female). Children completed a fear conditioning task while skin conductance responses (SCR) were obtained, which included both acquisition and extinction. Childhood trauma and deprivation severity were measured using both parent and youth report. Symptoms of anxiety, externalizing problems, and post-traumatic stress disorder (PTSD) were assessed at baseline and again two-years later.

Results

Greater trauma-related experiences were associated with greater SCR to the threat cue (CS+) relative to the safety cue (CS−) in early fear acquisition, controlling for deprivation, age, and sex. Deprivation was unrelated to fear learning. Greater SCR to the threat cue during early acquisition was associated with increased PTSD symptoms over time controlling for baseline symptoms and mediated the relationship between trauma and prospective changes in PTSD symptoms.

Conclusions

Childhood trauma is associated with altered fear learning in youth, which may be one mechanism linking exposure to violence with the emergence of PTSD symptoms in adolescence.
Beyond the ice: exploring Antarctic soils research through spatial and scientometrics analysis
Authors: Vieira Ícaro , Oliveira Fábio , Michel Roberto Ferreira Machado , Francelino Marcio Rocha
Published: September 2024

This spatial-scientometric study addresses research on Antarctic soils from 1958 to 2021. Through the review of 553 publications in the Web of Science and Scopus databases, geographical distribution, productivity, coauthorship and research topics were analysed. The results highlight the high productivity and interaction between researchers and institutions around the world, with a focus on microbiology, pollution, bioremediation, biogeochemistry and thermal and water monitoring of the soil and permafrost. This study provides insights into the importance of polar soils as global environmental indicators. The scientometric and spatial approach contributes to understanding the social and conceptual structure in this research area in addition to the development of the subject in time and space.
Navigating legal frontiers: Climate change, environmental protection and armed conflict
Authors: Pantazopoulos Stavros-Evdokimos
Published: September 2024

The relationship between armed conflict, the environment and climate change is intricate and challenging to define. While international humanitarian law (IHL) includes some environmental protections, it did not anticipate the connection to climate change. Climate change can act as a risk multiplier, intensifying negative socio-economic impacts, and conflict-related environmental damage may contribute to climate change. Bridging these fields is crucial, and to this end, this article seeks to interpret IHL considering evolving understandings of armed conflict effects and progress under international environmental law (IEL). The article illustrates how existing norms can address climate change impacts in warfare, and explores how relevant IEL provisions, such as the Paris Agreement and the harm prevention principle, could be applied during armed conflicts to achieve similar goals.
Intellektuelle Behinderung im Kindes- und Jugendalter
Authors: Sarimski Klaus
Published: September 2024

Kinder und Jugendliche mit intellektueller Behinderung sind individuelle Persönlichkeiten mit individuellen Stärken und Schwächen beim Erwerb von Kompetenzen und der Bewältigung sozialer Anforderungen. Sie benötigen deshalb eine differenzierte Unterstützung, für die fundiertes Wissen über Entwicklungsprozesse sowie Möglichkeiten der Förderung und Intervention erforderlich ist. Dies liefert der vorliegende Band mit einem umfassenden und gut verständlichen Überblick.
Zunächst werden Ursachen, Diagnostik intellektueller und adaptiver Kompetenzen sowie empirische Forschungsergebnisse zum Verlauf der kognitiven, sprachlichen und sozial-emotionalen Entwicklung behandelt. Es schließt sich eine Darstellung evidenzbasierter Interventionen zur Förderung von sprachlichen, mathematischen, sozialen und alltagspraktischen Kompetenzen sowie des Schriftsprachenerwerbs im Kontext von Frühförderung und Schule an. Ein eigenes Kapitel beschäftigt sich mit Fragen der sozialen Teilhabe bei schwerster Behinderung.
Weitere Kapitel thematisieren auffälliges Verhalten und psychische Störungen bei Kindern und Jugendlichen mit intellektueller Behinderung. Nach einem Überblick über Prinzipien der Diagnostik und Behandlung sowie über spezifische Verhaltensmerkmale bei genetischen Syndromen werden Interventionen bei u.a. Aufmerksamkeitsdefizit-/Hyperaktivitätsstörung, ängstlichen und depressiven sowie autistischen Verhaltensauffälligkeiten, Stereotypien und selbstverletzendem Verhalten dargestellt, und die Forschungslage zur Beurteilung ihrer Wirksamkeit wird bewertet. Der Band schließt mit einem Überblick zur Belastung der Eltern und Geschwister ab und zeigt Möglichkeiten der psychologischen Unterstützung auf. Damit gibt das Buch Fachkräften, die mit Kindern und Jugendlichen mit intellektueller Behinderung und deren Familien arbeiten, differenziertes Wissen für ihre Praxis an die Hand.
Wave‐Coupled Effects on Oceanic Biogeochemistry: Insights From a Global Ocean Biogeochemical Model in the Southern Ocean
Authors: Tensubam Chinglen Meetei , Babanin Alexander V. , Dash Mihir Kumar
Published: September 2024

Oceanic biogeochemistry plays a pivotal role in regulating Earth's climate system by governing the cycling of key elements such as carbon, oxygen, and nutrients. Various metocean processes including wind, tides, currents, waves, and eddies significantly influence the dynamics of this system. In particular, ocean surface waves contribute to this intricate interplay by facilitating the exchange of heat, gas, and momentum between the atmosphere and the ocean. Although wave‐coupled effects are substantial, studies on their impacts on oceanic biogeochemistry, particularly on phytoplankton abundance are missing in present‐day research. Additionally, wave‐coupled effects cannot be disregarded in regions like the Southern Ocean (SO), where wind and waves activities are prominent. Addressing this gap, we incorporated a parameterization of surface wave mixing into a global ocean biogeochemical model to investigate its effects on upper ocean and biogeochemical parameters. Our results show that surface wave mixing has significant impacts on sea surface temperature (SST), mixed layer depth (MLD), and nutrient distribution—key factors that influence phytoplankton growth. Additionally, we observed significant improvements in model biases against the observations. During austral summer, additional mixing from surface waves can significantly lower SST by 0.5°C, deepen MLD by 13 m, and enhance Chlorophyll‐a (Chl‐a) concentration, an index of phytoplankton population, by 8% in the SO. This observed increase in Chl‐a concentration is mainly driven by enhanced dissolved iron levels resulting from wave‐induced mixing. Our findings underscore the significance of incorporating surface wave mixing in ocean biogeochemistry studies, an aspect that is currently overlooked.
The Principal Role of Chorus Ducting for Night‐Side Relativistic Electron Precipitation
Authors: Kang Ning , Artemyev Anton V. , Bortnik Jacob , Zhang Xiao‐Jia , Angelopoulos Vassilis
Published: September 2024

Night‐side chorus waves are often observed during plasma sheet injections, typically confined around the equator and thus potentially responsible for precipitation of ≲100 keV electrons. However, recent low‐altitude observations have revealed the critical role of chorus waves in scattering relativistic electrons on the night‐side. This study presents a night‐side relativistic electron precipitation event induced by chorus waves at the strong diffusion regime, as observed by the ELFIN CubeSats. Through event‐based modeling of wave propagation under ducted or unducted regimes, we show that a density duct is essential for guiding chorus waves to high latitudes with minimal damping, thus enabling the strong night‐side relativistic electron precipitation. These findings underline both the existence and the important role of density ducts in facilitating night‐side relativistic electron precipitation.
Evidence of Groundwater Seepage and Mixing at the Vicinity of a Knickpoint in a Mountain Stream
Authors: Floriancic Marius G. , Abhervé Ronan , Bouchez Camille , Jimenez‐Martinez Joaquin , Roques Clément
Published: September 2024

Streamflow generation and biochemical hotspots are significantly influenced by groundwater contributions distributed along the drainage network. However, identifying the geomorphic landscape features that drive groundwater‐surface water interactions remains challenging. In this study, we investigate the role of knickpoints in controlling these interactions in a mountainous stream in Switzerland. We employ a combination of synoptic sampling of environmental tracers, endmember mixing calculations, and groundwater flow simulations. Our findings reveal substantial groundwater seepage concentrated near the knickpoint of the main river stem. Using parsimonious groundwater flow modeling, we validate the hypothesis that the topographical shape of the knickpoint enhances local groundwater discharge rates. We quantify that approximately 20% of the total catchment streamflow originates from around the knickpoint. These results indicate that knickpoints are significant hotspots for groundwater seepage and physicochemical mixing, providing a clear method for identifying major localized sources of streamflow generation.
What Controls the Interdecadal Enhancement in Interannual Variability of Summertime Intraseasonal Precipitation Over South China?
Authors: Lu Wei , Ha Yao , Zhu Yimin , Hu Yijia , Liu Yudi , Zhong Zhong
Published: September 2024

This study focuses on the interannual variability of summertime intraseasonal precipitation intensity (SIPI) over South China (SC) in the 30–90‐day range. The results demonstrate a significant increase in the interannual variability of SIPI over SC around the mid‐1990s. By comparing atmospheric and oceanic anomalies between two periods, P1 (1984–1993) and P2 (1994–2003), we identify that both the Silk Road pattern (SRP) and the western Pacific subtropical high (WPSH) play a role in influencing this interdecadal increase in SIPI interannual variability. These system anomalies are modulated by sea surface temperature anomalies (SSTA) in the North Atlantic (NA) and equatorial East Pacific (EP). During years with positive precipitation anomalies in P2, warming EP SSTA induces anomalous Walker cell and local Hadley cell, weakening the WPSH and enhancing convective activity, and increasing moisture transport over SC. The warming NA SSTA near 45°N triggers a more southerly propagation of SRP, thereby providing additional disturbance energy that enhances summer precipitation over SC. Conversely, during years with negative precipitation anomalies in P2, these processes occur in reverse. The enhanced interannual variability of local convective activity from P1 to P2 leads to a corresponding increase in the interannual variability of the WPSH, which, coupled with an amplified interannual variability of SRP, results in heightened interannual variability of SIPI. Additionally, the composite analysis of 30–90‐day ISO events further substantiates the underlying mechanisms driving the interdecadal amplification of SIPI interannual variability. Diagnostic results reveal that the 30–90‐day horizontal wind induces heightened convergence of background moisture over SC.
Electrically tunable planar liquid-crystal singlets for simultaneous spectrometry and imaging
Authors: Zhou Zhou , Zhang Yiheng , Xie Yingxin , Huang Tian , Li Zile , Chen Peng , Lu Yan-qing , Yu Shaohua , Zhang Shuang , Zheng Guoxing
Published: September 2024

Conventional hyperspectral cameras cascade lenses and spectrometers to acquire the spectral datacube, which forms the fundamental framework for hyperspectral imaging. However, this cascading framework involves tradeoffs among spectral and imaging performances when the system is driven toward miniaturization. Here, we propose a spectral singlet lens that unifies optical imaging and computational spectrometry functions, enabling the creation of minimalist, miniaturized and high-performance hyperspectral cameras. As a paradigm, we capitalize on planar liquid crystal optics to implement the proposed framework, with each liquid-crystal unit cell acting as both phase modulator and electrically tunable spectral filter. Experiments with various targets show that the resulting millimeter-scale hyperspectral camera exhibits both high spectral fidelity ( > 95%) and high spatial resolutions ( ~1.7 times the diffraction limit). The proposed “two-in-one” framework can resolve the conflicts between spectral and imaging resolutions, which paves a practical pathway for advancing hyperspectral imaging systems toward miniaturization and portable applications.
Stem cell-derived extracellular vesicles: a potential intervention for Bronchopulmonary Dysplasia
Authors: Saneh Hala , Wanczyk Heather , Walker Joanne , Finck Christine
Published: September 2024

Despite advances in neonatal care, the incidence of Bronchopulmonary Dysplasia (BPD) remains high among extreme preterm infants. The pathogenesis of BPD is multifactorial, with inflammation playing a central role. There is strong evidence that stem cell therapy reduces inflammatory changes and restores normal lung morphology in animal models of hyperoxia-induced lung injury. These therapeutic effects occur without significant engraftment of the stem cells in the host lung, suggesting more of a paracrine mechanism mediated by their secretome. In addition, there are multiple concerns with stem cell therapy which may be alleviated by administering only the effective vesicles instead of the cells themselves. Extracellular vesicles (EVs) are cell-derived components secreted by most eukaryotic cells. They can deliver their bioactive cargo (mRNAs, microRNAs, proteins, growth factors) to recipient cells, which makes them a potential therapeutic vehicle in many diseases, including BPD. The following review will highlight recent studies that investigate the effectiveness of EVs derived from stem cells in preventing or repairing injury in the preterm lung, and the potential mechanisms of action that have been proposed. Current limitations will also be discussed as well as suggestions for advancing the field and easing the transition towards clinical translation in evolving or established BPD.

Impact

Extracellular vesicles (EVs) derived from stem cells are a potential intervention for neonatal lung diseases. Their use might alleviate the safety concerns associated with stem cell therapy.

This review highlights recent studies that investigate the effectiveness of stem cell-derived EVs in preclinical models of bronchopulmonary dysplasia. It adds to the existing literature by elaborating on the challenges associated with EV research. It also provides suggestions to advance the field and ease the transition towards clinical applications.

Optimizing EV research could ultimately improve the quality of life of extreme preterm infants born at vulnerable stages of lung development.
Characterization of a new model of chemotherapy-induced heart failure with reduced ejection fraction and nephrotic syndrome in Ren-2 transgenic rats
Authors: Gawrys Olga , Jíchová Šárka , Miklovič Matúš , Husková Zuzana , Kikerlová Soňa , Sadowski Janusz , Kollárová Petra , Lenčová-Popelova Olga , Hošková Lenka , Imig John D. , Mazurova Yvona , Kolář František , Melenovský Vojtěch , Štěrba Martin , Červenka Luděk
Published: September 2024

All anthracyclines, including doxorubicin (DOXO), the most common and still indispensable drug, exhibit cardiotoxicity with inherent risk of irreversible cardiomyopathy leading to heart failure with reduced ejection fraction (HFrEF). Current pharmacological strategies are clearly less effective for this type of HFrEF, hence an urgent need for new therapeutic approaches. The prerequisite for success is thorough understanding of pathophysiology of this HFrEF form, which requires an appropriate animal model of the disease. The aim of this study was to comprehensively characterise a novel model of HF with cardiorenal syndrome, i.e. DOXO-induced HFrEF with nephrotic syndrome, in which DOXO was administered to Ren-2 transgenic rats (TGR) via five intravenous injections in a cumulative dose of 10 mg/kg of body weight (BW). Our analysis included survival, echocardiography, as well as histological examination of the heart and kidneys, blood pressure, but also a broad spectrum of biomarkers to evaluate cardiac remodelling, fibrosis, apoptosis, oxidative stress and more. We have shown that the new model adequately mimics the cardiac remodelling described as “eccentric chamber atrophy” and myocardial damage typical for DOXO-related cardiotoxicity, without major damage of the peritoneum, lungs and liver. This pattern corresponds well to a clinical situation of cancer patients receiving anthracyclines, where HF develops with some delay after the anticancer therapy. Therefore, this study may serve as a comprehensive reference for all types of research on DOXO-related cardiotoxicity, proving especially useful in the search for new therapeutic strategies.
Label-free 3D molecular imaging of living tissues using Raman spectral projection tomography
Authors: Stepula Elzbieta , Walther Anders R. , Jensen Magnus , Mehrotra Dev R. , Yuan Mu H. , Pedersen Simon V. , Kumar Vishal , Gentleman Eileen , Albro Michael B. , Hedegaard Martin A. B. , Bergholt Mads S.
Published: September 2024

The ability to image tissues in three dimensions (3D) with label-free molecular contrast at the mesoscale would be a valuable capability in biology and biomedicine. Here, we introduce Raman spectral projection tomography (RSPT) for volumetric molecular imaging with optical sub-millimeter spatial resolution. We have developed a RSPT imaging instrument capable of providing 3D molecular contrast in transparent and semi-transparent samples. We also created a computational pipeline for multivariate reconstruction to extract label-free spatial molecular information from Raman projection data. Using these tools, we demonstrate imaging and visualization of phantoms of various complex shapes with label-free molecular contrast. Finally, we apply RSPT as a tool for imaging of molecular gradients and extracellular matrix heterogeneities in fixed and living tissue-engineered constructs and explanted native cartilage tissues. We show that there exists a favorable balance wherein employing Raman spectroscopy, with its advantages in live cell imaging and label-free molecular contrast, outweighs the reduction in imaging resolution and blurring caused by diffuse photon propagation. Thus, RSPT imaging opens new possibilities for label-free molecular monitoring of tissues.
Thermodynamics-inspired explanations of artificial intelligence
Authors: Mehdi Shams , Tiwary Pratyush
Published: September 2024

In recent years, predictive machine learning models have gained prominence across various scientific domains. However, their black-box nature necessitates establishing trust in them before accepting their predictions as accurate. One promising strategy involves employing explanation techniques that elucidate the rationale behind a model’s predictions in a way that humans can understand. However, assessing the degree of human interpretability of these explanations is a nontrivial challenge. In this work, we introduce interpretation entropy as a universal solution for evaluating the human interpretability of any linear model. Using this concept and drawing inspiration from classical thermodynamics, we present Thermodynamics-inspired Explainable Representations of AI and other black-box Paradigms, a method for generating optimally human-interpretable explanations in a model-agnostic manner. We demonstrate the wide-ranging applicability of this method by explaining predictions from various black-box model architectures across diverse domains, including molecular simulations, text, and image classification.
EpiScan: accurate high-throughput mapping of antibody-specific epitopes using sequence information
Authors: Wang Chuan , Wang Jiangyuan , Song Wenjun , Luo Guanzheng , Jiang Taijiao
Published: September 2024

The identification of antibody-specific epitopes on virus proteins is crucial for vaccine development and drug design. Nonetheless, traditional wet-lab approaches for the identification of epitopes are both costly and labor-intensive, underscoring the need for the development of efficient and cost-effective computational tools. Here, EpiScan, an attention-based deep learning framework for predicting antibody-specific epitopes, is presented. EpiScan adopts a multi-input and single-output strategy by designing independent blocks for different parts of antibodies, including variable heavy chain (VH), variable light chain (VL), complementary determining regions (CDRs), and framework regions (FRs). The block predictions are weighted and integrated for the prediction of potential epitopes. Using multiple experimental data samples, we show that EpiScan, which only uses antibody sequence information, can accurately map epitopes on specific antigen structures. The antibody-specific epitopes on the receptor binding domain (RBD) of SARS coronavirus 2 (SARS-CoV-2) were located by EpiScan, and the potentially valuable vaccine epitope was identified. EpiScan can expedite the epitope mapping process for high-throughput antibody sequencing data, supporting vaccine design and drug development. Availability: For the convenience of related wet-experimental researchers, the source code and web server of EpiScan are publicly available at https://github.com/gzBiomedical/EpiScan.
Cassava starch-based hot melt adhesive for textile industries
Authors: Admase Asmare Tezera , Mersha Desalegn Abera , Kebede Addisu Yenesew
Published: September 2024

The textile industry uses a lot of adhesives to join materials together, and many of these adhesives use petroleum-based ingredients that are harmful to the environment. To replace petroleum-based adhesives with a more environmentally friendly option for the textile industry, this study set out to create and evaluate a hot-melt adhesive derived from cassava starch. By adding kaolin clay as a filler and tannin as a tackifier in different ratios of starch, the created adhesive was enhanced. Tannic acid to starch ratios of 2:1, 6:1, and 10:1 w/w and kaolin to starch ratios of 3:1, 5:1, and 7:1 w/w were used to investigate the effects of clay and tackifier, respectively. The adhesives’s viscosity, moisture content, tensile strength, and shear strength were then measured. The presence of kaolin and tannic acid in starch-based adhesives favored a good interaction between the adhesive’s ingredients. The adhesive’s maximum shear strength was measured at 4.93 ± 0.11 Mpa when dry and 0.263 ± 0.21 Mpa when wet. The current data indicate that the optimal tensile strength was determined to be 3.45 ± 0.22 MPa. This result showed that hot melt adhesives based on cassava starch would be a good environmentally friendly substitute for petroleum-based adhesives, and more study in this field is necessary.
Variant load of mitochondrial DNA in single human mesenchymal stem cells
Authors: Hipps Daniel , Pyle Angela , Porter Anna L. R. , Dobson Philip F. , Tuppen Helen , Lawless Conor , Russell Oliver M. , Turnbull Doug M. , Deehan David J. , Hudson Gavin
Published: September 2024

Heteroplasmic mitochondrial DNA (mtDNA) variants accumulate as humans age, particularly in the stem-cell compartments, and are an important contributor to age-related disease. Mitochondrial dysfunction has been observed in osteoporosis and somatic mtDNA pathogenic variants have been observed in animal models of osteoporosis. However, this has never been assessed in the relevant human tissue. Mesenchymal stem cells (MSCs) are the progenitors to many cells of the musculoskeletal system and are critical to skeletal tissues and bone vitality. Investigating mtDNA in MSCs could provide novel insights into the role of mitochondrial dysfunction in osteoporosis. To determine if this is possible, we investigated the landscape of somatic mtDNA variation in MSCs through a combination of fluorescence-activated cell sorting and single-cell next-generation sequencing. Our data show that somatic heteroplasmic variants are present in individual patient-derived MSCs, can reach high heteroplasmic fractions and have the potential to be pathogenic. The identification of somatic heteroplasmic variants in MSCs of patients highlights the potential for mitochondrial dysfunction to contribute to the pathogenesis of osteoporosis.