bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stellung beziehen? Zum journalistischen und wissenschaftlichen Umgang mit der Neuen Rechten. Ein Podiumsgespräch mit Marcel Lepper und Volker Weiß, moderiert von Julia Encke
Authors: Lepper Marcel , Encke Julia , Weiß Volker 
Published: January 2025

Zusammenfassung
In diesem transkribierten Podiumsgespräch, das im Januar 2024 auf der Tagung »Neurechte Literatur und Literaturpolitik« in Stuttgart geführt wurde, wird darüber nachgedacht, wie ein angemessener wissenschaftlicher und journalistischer Umgang mit der Neuen Rechten aussehen sollte. Beispielhaft wird dabei u. a. auf die Berichterstattung über das Ehepaar Helmut Lethen und Caroline Sommerfeld eingegangen.
Large N limit of the Yang–Mills measure on compact surfaces II: Makeenko–Migdal equations and the planar master field
Authors: Dahlqvist Antoine , Lemoine Thibaut 
Published: January 2025

AbstractThis paper considers the large N limit of Wilson loops for the two-dimensional Euclidean Yang–Mills measure on all orientable compact surfaces of genus larger or equal to
$1$
, with a structure group given by a classical compact matrix Lie group. Our main theorem shows the convergence of all Wilson loops in probability, given that it holds true on a restricted class of loops, obtained as a modification of geodesic paths. Combined with the result of [20], a corollary is the convergence of all Wilson loops on the torus. Unlike the sphere case, we show that the limiting object is remarkably expressed thanks to the master field on the plane defined in [3, 39], and we conjecture that this phenomenon is also valid for all surfaces of higher genus. We prove that this conjecture holds true whenever it does for the restricted class of loops of the main theorem. Our result on the torus justifies the introduction of an interpolation between free and classical convolution of probability measures, defined with the free unitary Brownian motion but differing from t-freeness of [5] that was defined in terms of the liberation process of Voiculescu [67]. In contrast to [20], our main tool is a fine use of Makeenko–Migdal equations, proving uniqueness of their solution under suitable assumptions, and generalising the arguments of [21, 33].
The Incluseum Manifesto for the Humanities in the Public Sphere
Authors: Moore Porchia , Paquet Rose , Wittman Aletheia 
Published: January 2025

Abstract
The Inclusuem is a collaborative project established in 2012 with international reach and global impact. The three co-directors, Aletheia Whitman, Dr. Rose Paquet, and Dr. Porchia Moore share a mission to “advance new ways of being a museum through dialogue, community building, and collaborative practice related to inclusive practice in museums.” We have provided a platform for over a decade which prompts arts and cultural heritage professionals to push the bounds of museum work to be as expansive and inclusive as possible while enacting structural change. In this piece, we focus on museums as sites where the humanities are made public. Our manifesto proposes a vision for the public humanities in a changing political landscape and will introduce new perspectives for both an emerging museum and an emergent new understanding for the public humanities within museums faced with an antagonistic intellectual and cultural ecosystem.
How to Do Accompaniment
Authors: Fouts Sarah 
Published: January 2025

Abstract
This essay examines the integration of accompaniment methodology with public humanities and policy work through case studies from activist research in New Orleans. The concept of accompaniment involves providing active, supportive engagement alongside marginalized communities to address systemic barriers and foster mutual understandings. This essay highlights how accompaniment can provide support in navigating bureaucratic challenges and inform immigration policy. It also explores how accompaniment can inform public humanities work, like the development of a digital timeline and physical exhibition documenting Black labor history in New Orleans. This approach underscores the transformative potential of combining accompaniment with public humanities to enhance community empowerment, inform policy, and challenge systemic inequities. By engaging with community experiences and integrating insights from both historical and contemporary struggles, this essay chronicles the development of accompaniment methodology and shows how this approach can enrich public humanities scholarship and policy work, creating more inclusive and responsive solutions to social challenges. Accompaniment serves as a vital tool for bridging academic inquiry with social justice, making public humanities research more relevant, ethical, equitable, and impactful.
QUENCHED CENTRAL LIMIT THEOREM FOR DVORETZKY COVERING
Authors: CHANG YUANYANG , LIU PING 
Published: January 2025

Abstract
Let

$\{\omega _n\}_{n\geq 1}$

be a sequence of independent and identically distributed random variables on a probability space

$(\Omega , \mathcal {F}, \mathbb {P})$

, each uniformly distributed on the unit circle

$\mathbb {T}$

, and let

$\ell _n=cn^{-\tau }$

for some

$c>0$

and

$0<\tau <1$

. Let

$I_{n}=(\omega _n,\omega _n+\ell _n)$

be the random interval with left endpoint

$\omega _n$

and length

$\ell _n$

. We study the asymptotic property of the covering time

$N_n(x)=\sharp \{1\leq k\leq n: x\in I_k\}$

for each

$x\in \mathbb {T}$

. We prove the quenched central limit theorem for the covering time, that is,

$\mathbb {P}$

-almost surely,

$$ \begin{align*}\frac{N_n(x)-\mathbb{E}_{\mathbb{P}}(N_n(x))}{\sqrt{\sum_{k=1}^n \ell_k(1-\ell_k)}}\end{align*} $$

converges in law to the standard normal distribution.
Shallow Water Ice Detection From SHARAD Data in Central Utopia Planitia, Mars
Authors: Xu Xiaoting , Xu Yi , Han Zhuo , Wong HonKuan , Meng Xu , Zhao Yu‐Yan Sara , Bugiolacchi Roberto , Jin Shuanggen 
Published: January 2025

AbstractOne of the key scientific goals of China's first Mars mission Tianwen‐1 is to search for ground ice. This study focuses on investigating potential water ice reservoirs in the vicinity of the landing site of the Zhurong rover to provide geological context and references for data interpretation. Our study area is centered on Utopia Planitia (UP), where Shallow Radar onboard the Mars Reconnaissance Orbiter (SHARAD) previously detected subsurface echoes that could be interpreted as ice deposits. Based on the SHARAD data, we have estimated the thickness, dielectric properties, and possible material composition of the surface deposition layer. The inferred water ice volume content ranges from approximately 55%–85%, which is consistent with deposits found on the western edge of UP. Based on morphological features and radar data products, we interpret the detected sediment layer as the latitude‐dependent mantle (LDM). We have conducted a comprehensive analysis of the distribution and morphology of various periglacial landforms, including Decameter‐scale Rimmed Depressions (DRDs), polygonal landforms, and scalloped depressions on the surface of UP. The implications for the level of degradation are discussed. The radar results provide evidence that DRDs have formed as a result of the degradation of the LDM layer. Additionally, our statistical analysis of concentric crater humps (CCH) linked to subsurface pure glacial ice suggests the possible presence of an icy layer that may be as thick as a kilometer beneath the LDM unit.
Skull bone marrow and skull meninges channels: redefining the landscape of central nervous system immune surveillance
Authors: Liu Liang , Zhang Xian , Chai Yan , Zhang Jianning , Deng Quanjun , Chen Xin 
Published: January 2025

Abstract
The understanding of neuroimmune function has evolved from concepts of immune privilege and protection to a new stage of immune interaction. The discovery of skull meninges channels (SMCs) has opened new avenues for understanding central nervous system (CNS) immunity. Here, we characterize skull bone marrow and SMCs by detailing the anatomical structures adjacent to the skull, the differences between skull and peripheral bone marrow, mainstream animal processing methods, and the role of skull bone marrow in monitoring various CNS diseases. Additionally, we highlight several unresolved issues based on current research findings, aiming to guide future research directions.
Unidirectional chiral scattering from single enantiomeric plasmonic nanoparticles
Authors: Xie Yuanyang , Krasavin Alexey V. , Roth Diane J. , Zayats Anatoly V. 
Published: January 2025

Abstract
Controlling scattering and routing of chiral light at the nanoscale is important for optical information processing and imaging, quantum technologies as well as optical manipulation. Here, we introduce a concept of rotating chiral dipoles in order to achieve unidirectional chiral scattering. Implementing this concept by engineering multipole excitations in helicoidal plasmonic nanoparticles, we experimentally demonstrate enantio-sensitive and highly-directional forward scattering of circularly polarised light. The intensity of this highly-directional scattering is defined by the mutual relation between the handedness of the incident light and the chirality of the structure. The concept of rotating chiral dipoles offers numerous opportunities for engineering scattering from chiral nanostructures and optical nano-antennas paving the way for innovative designs and applications of chiral light-matter interactions.
Plant interactions associated with a directional shift in the richness range size relationship during the Glacial-Holocene transition in the Arctic
Authors: Liu Ying , Lisovski Simeon , Courtin Jérémy , Stoof-Leichsenring Kathleen R. , Herzschuh Ulrike 
Published: January 2025

Abstract
A nearly ubiquitous negative relationship between taxonomic richness and mean range-size (average area of taxa) is observed across space. However, the complexity of the mechanism limits its applicability for conservation or range prediction. We explore whether the relationship holds over time, and whether plant speciation, environmental heterogeneity, or plant interactions are major factors of the relationship within northeast Siberia and Alaska. By analysing sedimentary ancient DNA from seven lakes, we reconstruct plant richness, biotic environmental heterogeneity, and mean range-size over the last 30,000 years. We find positive richness to range-size relationships during the glacial period, shifting to negative during the interglacial period. Our results indicate neither speciation nor environmental heterogeneity is the principal driver. Network analyses show more positive interactions during the glacial period, which may contribute to positive richness to range-size relationships. Conversely, in the interglacial environment, negative interactions may result in negative relationships. Our findings suggest potential susceptibility to invasion but conservation advantages in far northern tundra given their positive interactions.
Neural circuits underlying context-dependent competition between defensive actions in Drosophila larvae
Authors: Lehman Maxime , Barré Chloé , Hasan Md Amit , Flament Benjamin , Autran Sandra , Dhiman Neena , Soba Peter , Masson Jean-Baptiste , Jovanic Tihana 
Published: January 2025

Abstract
To ensure their survival, animals must be able to respond adaptively to threats within their environment. However, the precise neural circuit mechanisms that underlie flexible defensive behaviors remain poorly understood. Using neuronal manipulations, machine learning-based behavioral detection, electron microscopy (EM) connectomics and calcium imaging in Drosophila larvae, we map second-order interneurons that are differentially involved in the competition between defensive actions in response to competing aversive cues. We find that mechanosensory stimulation inhibits escape behaviors in favor of startle behaviors by influencing the activity of escape-promoting second-order interneurons. Stronger activation of those neurons inhibits startle-like behaviors. This suggests that competition between startle and escape behaviors occurs at the level of second-order interneurons. Finally, we identify a pair of descending neurons that promote startle behaviors and could modulate the escape sequence. Taken together, these results characterize the pathways involved in startle and escape competition, which is modulated by the sensory context.
3D N-heterocyclic covalent organic frameworks for urea photosynthesis from NH3 and CO2
Authors: Li Ning , Zhang Jiale , Xie Xiangdong , Wang Kang , Qi Dongdong , Liu Jiang , Lan Ya-Qian , Jiang Jianzhuang 
Published: January 2025

Abstract
Artificial photosynthesis of urea from NH3 and CO2 seems to remain still essentially unexplored. Herein, three isomorphic three-dimensional covalent organic frameworks with twofold interpenetrated ffc topology are functionalized by benzene, pyrazine, and tetrazine active moieties, respectively. A series of experiment results disclose the gradually enhanced conductivity, light-harvesting capacity, photogenerated carrier separation efficiency, and co-adsorption capacity towards NH3 and CO2 in the order of benzene-, pyrazine-, and tetrazine-containing framework. This in turn endows tetrazine-containing framework with superior photocatalytic activity towards urea production from NH3 and CO2 with the yield of 523 μmol g−1 h−1, 40 and 4 times higher than that for benzene- and pyrazine-containing framework, respectively, indicating the heterocyclic N microenvironment-dependent catalytic performance for these three photocatalysts. This is further confirmed by in-situ spectroscopic characterization and density functional theory calculations. This work lays a way towards sustainable photosynthesis of urea.
Convergent evolution of oxidized sugar metabolism in commensal and pathogenic microbes in the inflamed gut
Authors: Levy Sophia , Jiang Angela K. , Grant Maggie R. , Arp Gabriela , Minabou Ndjite Glory , Jiang Xiaofang , Hall Brantley 
Published: January 2025

Abstract
Inflammation-associated perturbations of the gut microbiome are well characterized, but poorly understood. Here, we demonstrate that disparate taxa recapitulate the metabolism of the oxidized sugars glucarate and galactarate, utilizing enzymatically divergent, yet functionally equivalent, gud/gar pathways. The divergent pathway in commensals includes a putative 5-KDG aldolase (GudL) and an uncharacterized ABC transporter (GarABC) that recapitulate the function of their non-homologous counterparts in pathogens. A systematic bioinformatic search for the gud/gar pathway in gut microbes identified 887 species putatively capable of metabolizing oxidized sugars. Previous studies showed that inflammation-derived nitrate, formed by nitric oxide reacting with superoxide, promotes pathogen growth. Our findings reveal a parallel phenomenon: oxidized sugars, also produced from reactions with nitric oxide, serve as alternative carbon sources for commensal microbes. Previously considered a pathogen virulence factor, oxidized sugar metabolism is also present in specific commensals and may contribute to their increased relative abundance in gastrointestinal inflammation.
OCT-based diagnosis of glaucoma and glaucoma stages using explainable machine learning
Authors: Hasan Md Mahmudul , Phu Jack , Wang Henrietta , Sowmya Arcot , Kalloniatis Michael , Meijering Erik 
Published: January 2025

Abstract
Glaucoma poses a growing health challenge projected to escalate in the coming decades. However, current automated diagnostic approaches on Glaucoma diagnosis solely rely on black-box deep learning models, lacking explainability and trustworthiness. To address the issue, this study uses optical coherence tomography (OCT) images to develop an explainable artificial intelligence (XAI) tool for diagnosing and staging glaucoma, with a focus on its clinical applicability. A total of 334 normal and 268 glaucomatous eyes (86 early, 72 moderate, 110 advanced) were included, signal processing theory was employed, and model interpretability was rigorously evaluated. Leveraging SHapley Additive exPlanations (SHAP)-based global feature ranking and partial dependency analysis (PDA) estimated decision boundary cut-offs on machine learning (ML) models, a novel algorithm was developed to implement an XAI tool. Using the selected features, ML models produce an AUC of 0.96 (95% CI: 0.95–0.98), 0.98 (95% CI: 0.96–1.00) and 1.00 (95% CI: 1.00–1.00) respectively on differentiating early, moderate and advanced glaucoma patients. Overall, machine outperformed clinicians in the early stage and overall glaucoma diagnosis with 10.4 –11.2% higher accuracy. The developed user-friendly XAI software tool shows potential as a valuable tool for eye care practitioners, offering transparent and interpretable insights to improve decision-making.
Working capacity level defines the specific impairment profile of the comprehensive ICF core set for multiple sclerosis
Authors: Valadkevičienė Daiva , Žukauskaitė Irena , Bileviciute-Ljungar Indre , Kizlaitienė Rasa , Jatužis Dalius , Karrenbauer Virginija Danylaitė 
Published: January 2025

Abstract
Multiple sclerosis (MS) unfavorably affects working capacity. The Comprehensive International Classification of Functioning, Disability and Health Core Set for MS (cICF-MS), issued by the World Health Organization, has not yet been extended to evaluate working capacity level (WCL). To evaluate the relative importance of cICF-MS categories in relation to WCL. Persons with MS (PwMS), N = 129, who had been referred to Lithuania’s Disability and Working Capacity Assessment Office for WCL determination, were divided into three groups according to the percentage of remaining WCL (WCL1 had 0–25%, WCL2 had 30–40%, and WCL3 had 45–55%). Data regarding the cICF-MS categories were collected through telephone interviews and patient documentation. Using the fractional ranking method, the mean values of cICF-MS impairment were ranked from the most severely affected to the least affected (rank 1–93). Ranks with the 10 highest mean values of impairment severity in each WCL group were included in a descriptive analysis. In the WCL1 and WCL2 groups, the most-affected cICF-MS categories reflected disability related to gait and motor function. The WCL3 group presented with pain, fatigue, and impairments to visual acuity, psychic stability, urination, and memory. This study has identified specific cICF-MS impairment profiles based on remaining WCL.
The effect of air pollution exposure on foetal growth restriction in pregnant women who conceived by in vitro fertilisation a cross-sectional study
Authors: Jiang Yanqiong , Liu Pengfei , Zeng Meihong , Zhuang Guiying , Qiu Cuiqing , Wang Liyun , Liu Weiling , Liu Weiqi 
Published: January 2025

Abstract
Studies investigating the relationship between exposure to air pollutants during pregnancy and foetal growth restriction (FGR) in women who conceive by in vitro fertilisation (IVF) are lacking. The objective was to investigate the effect of air pollutant exposure in pregnancy on FGR in pregnant women who conceive by IVF. We included pregnant women who conceived by IVF and delivered healthy singleton babies in Guangzhou from October 2018 to September 2023. We also collected data on air pollutant concentrations in Guangzhou during the same period. We analysed the impact of air pollution exposure during pregnancy on FGR. After adjusting for confounders, our analysis showed that in the first trimester, high concentrations of PM10 and NO2 in the fourth quartile significantly increased the risk of FGR. Specifically, the odds ratios were 6.430 (95% confidence interval [CI]: 1.035–39.96) for PM10 and 10.73 (95% CI: 1.230–93.48) for NO2. In the second trimester, exposure to PM2.5, PM10, and NO2 was associated with an increased risk of FGR. In addition, subgroup analyses showed that exposure to NO2 during pregnancy increased the risk of FGR in women aged 35 years and older. The results of this cross-sectional study suggest that exposure to PM2.5, PM10, and NO2 in pregnant women who conceive by IVF is associated with the occurrence of FGR.
Dual modality feature fused neural network integrating binding site information for drug target affinity prediction
Authors: He Haohuai , Chen Guanxing , Tang Zhenchao , Chen Calvin Yu-Chian 
Published: January 2025

Abstract
Accurately predicting binding affinities between drugs and targets is crucial for drug discovery but remains challenging due to the complexity of modeling interactions between small drug and large targets. This study proposes DMFF-DTA, a dual-modality neural network model integrates sequence and graph structure information from drugs and proteins for drug-target affinity prediction. The model introduces a binding site-focused graph construction approach to extract binding information, enabling more balanced and efficient modeling of drug-target interactions. Comprehensive experiments demonstrate DMFF-DTA outperforms state-of-the-art methods with significant improvements. The model exhibits excellent generalization capabilities on completely unseen drugs and targets, achieving an improvement of over 8% compared to existing methods. Model interpretability analysis validates the biological relevance of the model. A case study in pancreatic cancer drug repurposing demonstrates its practical utility. This work provides an interpretable, robust approach to integrate multi-view drug and protein features for advancing computational drug discovery.
Speech-Language Pathology Preservice Preparation for Working in School-Age Literacy: International Perspectives
Authors: Stephenson Caitlin F. , Serry Tanya A. , Snow Pamela C. 
Published: January 2025

Purpose:
This narrative review of preservice training of speech-language pathologists (SLPs) to work in school-age literacy contexts examines (a) studies regarding SLPs' perceptions of their preservice training and (b) accreditation requirements for preservice training in selected nations.

Method:
A review of the literature examining (a) SLPs' perspectives about their preservice training; (b) SLPs' beliefs, confidence, and self-efficacy; and (c) speech-language pathology preservice program content was conducted via analysis of studies published after the year 2010. Policy documents and websites outlining accreditation requirements in the United States, Canada, the United Kingdom, Australia, and New Zealand were reviewed.

Results:
The literature search resulted in a total of 13 studies: nine from the United States and four from Australia. Twelve of the studies investigated SLP perceptions of preservice training. The perspectives of university faculty were included in one of these. One study directly examined preservice program coursework. In the United States, there appears to have been an increase in course content related to literacy in recent years. However, SLPs in both the United States and Australia consistently report feeling underprepared by their preservice training to address the full continuum of school-age literacy service provision that could be expected of SLPs on graduation. Between the different international contexts, there is significant variability in the clarity and specificity of requirements for preservice training in literacy for SLPs.

Conclusions:
Published research is limited to cross-sectional survey evaluations of preservice training. A qualitative lens to examine in more depth and breadth the experiences of preservice training from the perspectives of both recipients and providers is needed. Policy documents for speech-language pathology would benefit from increased coherence and accountability regarding accreditation requirements for SLPs in school-age literacy.