bluuebunny/crossref_metadata_2025_split huggingface dataset:
Holography as homotopy
Authors: Chiaffrino Christoph , Ersoy Talha , Hohm Olaf 
Published: September 2024

Abstract
We give an interpretation of holography in the form of the AdS/CFT correspondence in terms of homotopy algebras. A field theory such as a bulk gravity theory can be viewed as a homotopy Lie or L∞ algebra. We extend this dictionary to theories defined on manifolds with a boundary, including the conformal boundary of AdS, taking into account the cyclic structure needed to define an action with the correct boundary terms. Projecting fields to their boundary values then defines a homotopy retract, which in turn implies that the cyclic L∞ algebra of the bulk theory is equivalent, up to homotopy, to a cyclic L∞ algebra on the boundary. The resulting action is the ‘on-shell action’ conventionally computed via Witten diagrams that, according to AdS/CFT, yields the generating functional for the correlation functions of the dual CFT. These results are established with the help of new techniques regarding the homotopy transfer of cyclic L∞ algebras.
Uncertainty Estimation for Dual View X-ray Mammographic Image Registration Using Deep Ensembles
Authors: Walton William C. , Kim Seung-Jun 
Published: September 2024

AbstractTechniques are developed for generating uncertainty estimates for convolutional neural network (CNN)-based methods for registering the locations of lesions between the craniocaudal (CC) and mediolateral oblique (MLO) mammographic X-ray image views. Multi-view lesion correspondence is an important task that clinicians perform for characterizing lesions during routine mammographic exams. Automated registration tools can aid in this task, yet if the tools also provide confidence estimates, they can be of greater value to clinicians, especially in cases involving dense tissue where lesions may be difficult to see. A set of deep ensemble-based techniques, which leverage a negative log-likelihood (NLL)-based cost function, are implemented for estimating uncertainties. The ensemble architectures involve significant modifications to an existing CNN dual-view lesion registration algorithm. Three architectural designs are evaluated, and different ensemble sizes are compared using various performance metrics. The techniques are tested on synthetic X-ray data, real 2D X-ray data, and slices from real 3D X-ray data. The ensembles generate covariance-based uncertainty ellipses that are correlated with registration accuracy, such that the ellipse sizes can give a clinician an indication of confidence in the mapping between the CC and MLO views. The results also show that the ellipse sizes can aid in improving computer-aided detection (CAD) results by matching CC/MLO lesion detects and reducing false alarms from both views, adding to clinical utility. The uncertainty estimation techniques show promise as a means for aiding clinicians in confidently establishing multi-view lesion correspondence, thereby improving diagnostic capability.
Inflammasome activation aggravates choroidal neovascularization
Authors: Makin Ryan D. , Apicella Ivana , Dholkawala Roshni , Fukuda Shinichi , Hirahara Shuichiro , Hirano Yoshio , Kim Younghee , Nagasaka Ayami , Nagasaka Yosuke , Narendran Siddharth , Pereira Felipe , Varshney Akhil , Wang Shao-bin , Ambati Jayakrishna , Gelfand Bradley D. 
Published: September 2024

AbstractInflammasome activation is implicated in diseases of aberrant angiogenesis such as age-related macular degeneration (AMD), though its precise role in choroidal neovascularization (CNV), a characteristic pathology of advanced AMD, is ill-defined. Reports on inhibition of inflammasome constituents on CNV are variable and the precise role of inflammasome in mediating pathological angiogenesis is unclear. Historically, subretinal injection of inflammasome agonists alone has been used to investigate retinal pigmented epithelium (RPE) degeneration, while the laser photocoagulation model has been used to study pathological angiogenesis in a model of CNV. Here, we report that the simultaneous introduction of any of several disease-relevant inflammasome agonists (Alu or B2 RNA, Alu cDNA, or oligomerized amyloid β (1–40)) exacerbates laser-induced CNV. These activities were diminished or abrogated by genetic or pharmacological targeting of inflammasome signaling constituents including P2rx7, Nlrp3, caspase-1, caspase-11, and Myd88, as well as in myeloid-specific caspase-1 knockout mice. Alu RNA treatment induced inflammasome activation in macrophages within the CNV lesion, and increased accumulation of macrophages in an inflammasome-dependent manner. Finally, IL-1β neutralization prevented inflammasome agonist-induced chemotaxis, macrophage trafficking, and angiogenesis. Collectively, these observations support a model wherein inflammasome stimulation promotes and exacerbates CNV and may be a therapeutic target for diseases of angiogenesis such as neovascular AMD.
Strategic manipulation of preferences in the rank minimization mechanism
Authors: Tasnim Mayesha , Weesie Youri , Ghebreab Sennay , Baak Max 
Published: September 2024

AbstractWe consider one-sided matching problems, where agents are allocated items based on stated preferences. Posing this as an assignment problem, the average rank of obtained matchings can be minimized using the rank minimization (RM) mechanism. RM matchings can have significantly better rank distributions than matchings obtained by mechanisms with random priority, such as Random Serial Dictatorship. However, these matchings are sensitive to preference manipulation from strategic agents. In this work we consider a scenario where agents aim to be matched to their top-n preferred items using the RM mechanism, and strategically manipulate their preferences to achieve this. We derive a best response strategy for an agent to be assigned to their n most preferred items using the Hungarian algorithm, under a simplified cost function. This strategy is then extended to a first-order heuristic strategy for being matched to the top-n items in a setup that minimizes the average rank. Based on this finding, an empirical study is conducted examining the impact of the first-order heuristic strategy. The study utilizes data from both simulated markets and real-world matching markets in Amsterdam, taking into account variations in item popularity, fractions of strategic agents, and the preferences for the n most favored items. For most scenarios, RM yields more rank efficient matches than Random Serial Dictatorship, even when agents apply the first-order heuristic strategy. However, although highly market dependent, the matching performance can become worse when 50% of agents or more want to be matched to their top-1 or top-2 preferred items and apply the first-order heuristic strategy to achieve this.
Automorphisms of Quantum Toroidal Algebras from an Action of the Extended Double Affine Braid Group
Authors: Laurie Duncan 
Published: September 2024

Abstract
We first construct an action of the extended double affine braid group

$$\mathcal {\ddot{B}}$$

B
¨

on the quantum toroidal algebra

$$U_{q}(\mathfrak {g}_{\textrm{tor}})$$

U
q

(

g
tor

)

in untwisted and twisted types. As a crucial step in the proof, we obtain a finite Drinfeld new style presentation for a broad class of quantum affinizations. In the simply laced cases, using our action and certain involutions of

$$\mathcal {\ddot{B}}$$

B
¨

we produce automorphisms and anti-involutions of

$$U_{q}(\mathfrak {g}_{\textrm{tor}})$$

U
q

(

g
tor

)

which exchange the horizontal and vertical subalgebras. Moreover, they switch the central elements C and

$$k_{0}^{a_{0}}\dots k_{n}^{a_{n}}$$

k

0

a
0

⋯

k

n

a
n

up to inverse. This can be viewed as the analogue, for these quantum toroidal algebras, of the duality for double affine braid groups used by Cherednik to realise the difference Fourier transform in his celebrated proof of the Macdonald evaluation conjectures. Our work generalises existing results in type A due to Miki which have been instrumental in the study of the structure and representation theory of

$$U_{q}(\mathfrak {sl}_{n+1,\textrm{tor}})$$

U
q

(

sl

n
+
1
,
tor

)

.
β-glucan nanoparticles alleviate acute asthma by suppressing ferroptosis and DNA damage in mice
Authors: Ebeed Bassam W. , Abdelmawgood Islam Ahmed , Kotb Mohamed A. , Mahana Noha A. , Mohamed Ayman Saber , Ramadan Marwa A. , Badr Abeer Mahmoud , Nasr Manar , Qurani Osama Mohsen , Hamdy Reem Mohamed , El-Hakiem Nada Yasser Abd , Fahim Mariam Khaled , Fekry Mariam Morris , Eid Jehane I. 
Published: September 2024

Abstract
Asthma is a severe respiratory disease marked by airway inflammation, remodeling, and oxidative stress. β-Glucan (BG), a polysaccharide constituent of fungal cellular structures, exhibits potent immunomodulatory activities. The investigational focus was on the anti-asthmatic and anti-ferroptotic properties of beta-glucan nanoparticles (BG-NPs) in a murine model of allergic asthma induced by ovalbumin (OVA). BG was extracted from Chaga mushrooms (Inonotus obliquus), and its BG-NPs were characterized utilizing techniques including FT-IR, UV visible spectroscopy, zeta potential analysis, DLS, XRD, and TEM. The Balb/C mice were allocated into five groups: control, untreated asthmatic, dexamethasone (Dexa)-treated (1 mg/kg), BG-treated (100 mg/kg), BG-NPs-treated (45 mg/kg), and BG-treated (100 mg/kg). Treatment with BG-NPs markedly diminished the entry of inflammatory cells into the respiratory passage, serum IgE concentrations, DNA damage, and markers of oxidative stress through the reduction of malonaldehyde (MDA) levels and enhancing the levels of reduced glutathione (GSH), glutathione peroxidase (GPx), superoxide dismutase (SOD), and catalase (CAT). Furthermore, BG-NPs reduced iron deposition and promoted the transcriptional activity of the GPx4 gene in pulmonary cells, attenuating ferroptosis. The results demonstrated that BG-NPs reduced asthma by inhibiting oxidative stress, inflammation, DNA damage, and ferroptosis. Our results suggest that BG-NPs could be used as potential treatments for allergic asthma.

Graphical abstract
“What Is Normal?”: A Qualitative Exploration of Health Practitioners’ Reports of Treating Patients Presenting with Unpleasant Sexual Experiences
Authors: Sharman Rachael , Allen Andrew , van Niekerk Kirstyn , Coles Alexandra , Manocha Ramesh , Foran Therese 
Published: September 2024

AbstractSexual health, including sexual pleasure, is fundamental to holistic health and well-being, and is considered an area of priority health in Australia. Despite the importance of sexual functioning, women experience significant gaps in sexual well-being compared to men and often do not seek medical care or treatment. Health practitioners are central to the identification and treatment of sexual dysfunction, including fostering sexual well-being for patients. Despite this, minimal research has explored health practitioners’ experiences in treating reports of unpleasant sex. This study aimed to explore health practitioners’ experiences, responses, and confidence in treating patients presenting for unpleasant sexual experiences. An online, mixed-methods survey was completed by 96 participants. Thematic analysis identified 11 core themes. These themes included five patient centred themes (health risks, diverse sex acts, painful vaginal intercourse, relationship breakdown and violence, unwanted sex) and six health practitioner centred themes (communication and counselling, what is normal, ongoing care and follow up, emotional response, limited practical training, and highly prevalent). Participants described a complex sexual health landscape, with social contexts impacting women’s sexual experiences and engagement in treatment. Additionally, health practitioners reported the need for a biopsychosocial approach to understanding and responding to unpleasant sexual experiences for patients, while simultaneously reporting limited education in this area. Findings reflect the need for health practitioners to be cognisant of matters related to sexual function, consent, coercion, client engagement, and treatment pathways, identifying a need for greater education and holistic approaches to sexual healthcare across medical settings.
Having Reliable Support: A Prerequisite to Promote Sexual and Reproductive Health in Young Women with ADHD
Authors: Wallin Karin , Wallin-Lundell Inger , Alehagen Siw , Hanberger Lena , Hultsjö Sally 
Published: September 2024

AbstractLiving with attention deficit hyperactivity disorder (ADHD) may influence sexual behaviors and intimate relationships in young women, resulting in a higher risk of unwanted pregnancy, sexual victimization, and sexual dysfunction. To develop adequate support, the study aimed to describe conceptions of how to promote sexual and reproductive health (SRH) in young women with ADHD. A secondary analysis using phenomenography was performed on qualitative interview data exploring variations of support. The study involved 15 young women with ADHD, aged 15–29 years, and 16 health care professionals, with various professions, working in the fields of gynecology, youth health, and psychiatry. Having reliable support was conceptualized as fundamental for promoting SRH. Access to information concerning SRH and living with ADHD as well as early support from health care contributed to a reliable support enabling self-knowledge and management of sexual relationships. Trustful relationships in health care were perceived as important because of previous experiences of feeling misunderstood and criticized in life, making them feel comfortable discussing SRH. Clinical encounters with a clear structure were further perceived to make information more accessible and clinics that provided appropriate organizational conditions and collaborated with other clinics were described to enhance the availability of support. This study reveals the need for clinics to provide conditions that ensure SRH support is available, accessible, and free of stigmatization. Early intervention programs for young women with ADHD may be considered, offering guidance on SRH issues in both psychiatric and sexual health clinics.
Does Soft Information Mitigate Gender Bias in Corporate Lending?
Authors: Bose Udichibarna , Filomeni Stefano , Tabacco Elena 
Published: September 2024

AbstractGender bias in leadership and decision-making is a well-documented and pervasive topic that continues to garner significant attention in academic research and business literature. In this paper, by exploiting a unique proprietary dataset of 550 mid-corporate loan applications managed by a major European bank, we explore how the use of soft information influences lending decisions of female loan officers as compared to their male counterparts. We find that use of soft information reduces information asymmetry which helps female officers in making diligent lending decisions resulting in increased granted credit with a lower default probability. We also investigate gender affinity within the banking organisation and find that female loan approvers are more likely to be supportive of their subordinate female loan officers by approving more credit to the loan applications handled by female loan officers. Finally, we examine the possible mechanisms that can explain these results, and find that female loan officers are able to better collect and use soft information as they cultivate and maintain deeper firm-bank relationships with their clients due to higher threat of losing or being penalized in their jobs for any possible errors. We also rule out any other possible explanations such as differences in workload, work experience, loan officers’ optimism, managerial ability, and screening capabilities between female and male loan officers. Our findings carry important policy implications, reflected in the optimal allocation of capital in the economy and the reduction of gender-related exclusion, which is vital in creating an equitable society and fostering a more ethical and inclusive workplace.
Arithmetization-oriented APN permutations
Authors: Budaghyan Lilya , Pal Mohit 
Published: September 2024

AbstractRecently, many cryptographic primitives such as homomorphic encryption (HE), multi-party computation (MPC) and zero-knowledge (ZK) protocols have been proposed in the literature which operate on the prime field $${\mathbb {F}}_p$$

F
p

for some large prime p. Primitives that are designed using such operations are called arithmetization-oriented primitives. As the concept of arithmetization-oriented primitives is new, a rigorous cryptanalysis of such primitives is yet to be done. In this paper, we investigate arithmetization-oriented APN functions. More precisely, we investigate APN permutations in the CCZ-classes of known families of APN power functions over the prime field $${\mathbb {F}}_p$$

F
p

. Moreover, we present a class of binomial permutation having differential uniformity at most 5 defined via the quadratic character over finite fields of odd characteristic. Computationally it is confirmed that the latter family contains new APN permutations for some small parameters. We conjecture it to contain an infinite subfamily of APN permutations.
Tiered maize and wheat nutrient removal coefficients estimated from available data
Authors: Ludemann C. I. , Hijbeek R. , van Loon M. P. , Murrell T. S. , Dobermann A. , van Ittersum M. K. 
Published: September 2024

AbstractEstimates of cropland nutrient budgets at national to global scale generally rely on regional or global mean coefficients for quantifying nutrients removed in crop yield and by-products. Use of such mean values masks the variability in these coefficients. Using maize and wheat as examples, we assessed variation in nutrient removal coefficients, namely harvest index (HI), nitrogen (N), phosphorus (P) and potassium (K) concentrations of crop products (Grain N, Grain P and Grain K respectively) and N, P and K concentrations of crop residues (Residue N, Residue P, and Residue K respectively). Variation in these coefficients was assessed by three categories (Tiers) of estimation. Statistical (mixed-effects) and machine learning (random forest regression) models (Tier 3) were used to predict the coefficients using generally available predictor variables at a global level. Mean prediction accuracies (R2) of the mixed-effects and random forest models were 0.32 for maize coefficients and 0.45 for wheat coefficients when based on a random sub-selection of mainly replicated field experiment data. When predictions were applied to on-farm data only, prediction accuracies were lower (mean R2 values of 0.08 and 0.36 for maize and wheat respectively). Variation in, and dearth of on-farm data for the coefficients contributed to these poor prediction accuracies. Until the limitations of on-farm data are overcome, it is recommended to use Tier 2 (regional) coefficient estimates in country and global cropland nutrient balance and nutrient use efficiency estimates. Where Tier 2 values are not available, then global average (Tier 1) coefficients can be used.
Why do phyto- and zooplankton exhibit different patterns of seasonal dynamics in the large Ob river-floodplain system (West Siberia)?
Authors: Yanygina L. V. , Burmistrova O. S. , Kotovshchikov A. V. , K. Shirinina M. , Schletterer M. 
Published: September 2024

AbstractA floodplain is considered as the basis for high production and biodiversity of large rivers. To test the hypothesis of the determining role of the floodplain as a supplier of plankton to the channel of a large unregulated river, we implemented a three-year study in the Ob river-floodplain (West Siberia, Russia) and revealed that factors of seasonal dynamics and sources of phyto- and zooplankton supply to the channel differed. The riverine phytoplankton was formed mostly in the main river and small side channels. The driving factor of its seasonal dynamics in the main channel and the permanently connected floodplain was water temperature, whereas in mostly isolated floodplain lakes—it was the availability of nutrients. Zooplankton in the channel was largely formed due to “recruits” arrival from the floodplain reaches. Its abundance in the channel with connection to the river-floodplain areas depended on temperature and phytoplankton amount. This study casts a light upon some major factors of seasonal dynamics of phyto- and zooplankton in the river-floodplain systems of large lowland rivers and serves the basis for the development of the flood pulse concept and monitoring program for rivers with a long freeze-up period.
Differential Effects of Ephemeral and Stable Predator Chemical Cues on Spider Antipredator Behaviour
Authors: Narimanov Nijat , Heuschele Jonna M. , Entling Martin H. , Menzel Florian , Mestre Laia 
Published: September 2024

AbstractSemiochemicals left by predators in their foraging area can be utilised by prey to avoid predation. The range of predators’ chemical cues with contrasting degradation rates might provide information of different quality, potentially allowing prey to differentiate between the immediate and the longer-term presence of predators in a location. So far, knowledge about the roles of volatile versus stable chemical cues in informing predation risk is limited. We here seek to disentangle the role of ephemeral trail pheromones compared to persistent cuticular hydrocarbons of ants (predators) on the antipredator behaviour of juvenile spiders (prey), with the expectation that volatile semiochemicals induce avoidance behaviour in spiders at a higher rate compared to stable cues. We allowed the spiders to choose between sites with and without ant cues separately for volatile trail pheromones and stable hydrocarbons. Unexpectedly, spiders avoided the presence of persistent cuticular hydrocarbons more clearly than the highly volatile trail pheromone. This underscores the widespread impact of these stable cues on the avoidance behaviour of potential intraguild prey. The response to trail pheromones was unclear, possibly because spiders always encounter these cues simultaneously with visual and vibratory cues from ants; hence, trail pheromones may not contain any additional information, hindering the evolution of the ability to detect them.
EYA-1 is required for genomic integrity independent of H2AX signalling in Caenorhabditis elegans
Authors: Tatnell Hannah R. , Novakovic Stevan , Boag Peter R. , Davis Gregory M. 
Published: September 2024

Abstract

Background
Resolving genomic insults is essential for the survival of any species. In the case of eukaryotes, several pathways comprise the DNA damage repair network, and many components have high evolutionary conservation. These pathways ensure that DNA damage is resolved which prevents disease associated mutations from occurring in a de novo manner. In this study, we investigated the role of the Eyes Absent (EYA) homologue in Caenorhabditis elegans and its role in DNA damage repair. Current understanding of mammalian EYA1 suggests that EYA1 is recruited in response to H2AX signalling to dsDNA breaks. C. elegans do not possess a H2AX homologue, although they do possess homologues of the core DNA damage repair proteins. Due to this, we aimed to determine if eya-1 contributes to DNA damage repair independent of H2AX.

Methods and results
We used a putative null mutant for eya-1 in C. elegans and observed that absence of eya-1 results in abnormal chromosome morphology in anaphase embryos, including chromosomal bridges, missegregated chromosomes, and embryos with abnormal nuclei. Additionally, inducing different types of genomic insults, we show that eya-1 mutants are highly sensitive to induction of DNA damage, yet show little change to induced DNA replication stress and display a mortal germline resulting in sterility over successive generations.

Conclusions
Collectively, this study suggests that the EYA family of proteins may have a greater involvement in maintaining genomic integrity than previously thought and unveils novel roles of EYA associated DNA damage repair.