bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Optoelectronic Sensing Real‐Time Glucose Detection Film Using Photonic Crystal Enhanced Rare Earth Fluorescence and Additive Manufacturing
Authors: Ju Ziyue , Wang Min , Chen Yitong , Wang Ziqi , Yang Mingming , Meng Fanbo , Lv Ruichan 
Published: January 2025

AbstractIn this research, a novel detection method employing rare‐earth upconversion nanoparticle (UCNP) as the core, coated with MnO2 nanosheets is designed, which formed a color and fluorescence dual‐responsive UCNP composite material, MnO2‐modified NaYF4:Yb,Tm@NaYF4. By enabling both colorimetric and fluorescence methods simultaneously, this composite material allows for the detection of glucose concentration under different conditions, while exhibiting strong resistance to environmental interference, chemical stability, and accuracy. To further enhance the sensitivity of the detection method, a photonic crystals (PCs)‐PDMS array where polymethyl methacrylate PCs are deposited onto a substrate composed of PDMS‐glass slice with hydrophobic surfaces is developed. This array can serve as a substrate that specifically reflected blue light while allowing other colors of light to pass through, which effectively reduced background signal interference and improved detection sensitivity (1.2 µm) with a wider linear range (20–800 µm). Finally, a portable fluorescence intensity detection device is designed to enhance the portability of the platform. Numerous experimental results demonstrated that this research significantly improved the sensitivity of glucose detection, providing new research directions for the field of fluid biomarker detectio.
Boosting Hot Electron Generation in Energy Center Embedded Metal–Organic Frameworks for Photocatalysis
Authors: Shi Tian , Li Zhihao , Shao Wei , Yang Chao , Wang Hui , Zhang Xiaodong , Xie Yi 
Published: January 2025

AbstractThe ligands in metal–organic framework (MOF) play as light absorption center and transfer photogenerated electrons to metal node through ligand‐to‐metal charge transfer (LMCT) during photocatalysis, and energy utilization efficiency is strongly restricted by the light inertness of ligands. Herein, a ligand updating strategy is proposed by inserting energy centers to MOFs to activate the inherent ligands, realizing boosting hot electron generation and photocatalytic activities via the cascaded proceeding of energy transfer and charge transfer. By taking PCN‐777 (a zeotype mesoporous Zr‐containing MOF) as an example, this study shows that the embedded energy center of 1‐pyrenecarboxylic acid (PCA) can activate the inherent ligand of PCN‐777 through triplet‐triplet energy transfer, where triplet excitons would dissociate into photocarriers migrating to the Zr metal cluster via LMCT process. As expected, PCN‐777‐PCA exhibits promising activity in metallaphotocatalytic C─N cross‐coupling reactions by offering abundant hot electrons for the involved dual photoredox cycles. This work provides a practical method for improving the photocatalytic application of MOFs by ligand updating.
Sweet Potato Starch Noodles Enriched With Tannin‐Rich Fraction From Pomegranate Rind: Physicochemical Properties, Structure, Stability, and In Vitro Starch Digestibility
Authors: Li Guanghui , Li Xiang , Gao Yifan , Guan Kaifang , Gao Xueli , Wang Yonghui , Guo Weiyun , He Shenghua , Huang Jihong 
Published: January 2025

ABSTRACTThis study explored the effect of tannin‐rich fraction from pomegranate rind (TFPR) on the cooking and texture properties, structure, and digestibility of sweet potato starch noodles (SPSN). The antioxidant activity of SPSN during cooking and storage was also investigated. Results showed that TFPR increased cooking loss, rehydration ratio, swelling index, and broken rate, but decreased the hardness, cohesiveness, springiness, and chewiness of SPSN. Scanning electron microscopy indicated that SPSN containing TFPR was looser and contained more holes with bigger sizes. Fourier transform infrared spectroscopy and X‐ray diffraction demonstrated that TFPR altered the short‐range ordered structure (R1047/1017: 1.76–0.56, R994/1017: 4.95–3.29) through noncovalent interaction and the long‐range ordered structure (crystallinity: 25.57%–19.39%). Moreover, TFPR decreased the rapidly digestible starch (41.01%–29.73%) and increased the resistant starch (18.00%–37.38%), leading to a drop in the digestive rate and GI (78.19–68.87) of SPSN. Boiling, steaming, microwaving, and storage decreased the antioxidant activity of SPSN‐containing TFPR. It demonstrated that TFPR altered the structure and digestibility of SPSN, and the stability of SPSN with TFPR was influenced by cooking methods and storage. These results provide valuable information on producing lower‐GI starchy foods based on pomegranate rinds.
Executive Summary
Authors: Surma Tim , Vanhees Claudio , Wils Michiel , Nijlunsing Jasper , Crato Nuno , Hattie John , Muijs Daniel , Rata Elizabeth , Wiliam Dylan , Kirschner Paul A. 
Published: January 2025

AbstractNearly all teachers and other stakeholders in education pursue a common aim: we want the students whom we teach and guide during their formative years to think deeply about what we teach them. We want them to be able to go beyond their current experiences and have a deep understanding of the world.
Prologue: Elements of a New Architecture of Experience and Science
Authors: Erlwein Hannah C. , Krause Katja 
Published: January 2025

AbstractRevisiting Premodern Islamic Science and Experience seeks to answer two questions: What kind of experience constituted premodern Islamic science? And in what ways did that experience constitute science? Our answer to these questions is not reducible to experience as empirical methodor practice; neither the empirical methodnor any empiricalpractice exhaust the scope of premodern experience in its relevance for science. To illuminate that argument, we turn our gaze to where experience naturally arises: within the historical scientist. Specifically, we address what we call the subject-rootednessor subject-dependence of the scientist’s experience, be that scientist-subject historically real or idealized. By founding our story on the scientist—and the ways in which his experience was rooted in acquired skill, habit, expertise, and practice—we offer the history of science a solid foundation on which to build its analyses of premodern science and the scope and role of experience therein. Bracketed by an introduction that advances a new theoretical framework and an epilogue that reflects on the findings and their implications, this volume presents its argument through three chapters, each of which investigates the place of experience in one branch of premodern Islamic science: astrology, philosophical psychology, and theology.
The Influence of Incentive Alignment, Cost Sharing, and Responsible Action Scenario to Agriculture Supply Chain Performance in an Indonesian Study (Dynamic Simulation Approach)
Authors: Adriant Irayanti , Simatupang Togar Mangihut , Handayati Yuanita 
Published: January 2025

AbstractThis research investigates the dynamics of agricultural supply chains, specifically focusing on the broccoli supply chain, through a dynamic simulation approach. The study emphasizes the importance of incentive alignment, cost-sharing mechanisms and responsible actions in enhancing the performance and sustainability of agricultural practices. By examining various scenarios, the research highlights how cost-sharing can alleviate financial burdens on farmers, enabling them to invest in sustainable practices and improve their profitability. Additionally, the study explores the role of retailer incentives in motivating farmers to adopt better agricultural techniques, ultimately leading to higher quality produce and increased profits for all stakeholders involved. The findings underscore the necessity of collaboration and shared goals among supply chain actors to foster a more resilient and sustainable agricultural system, contributing to food security and environmental preservation.
Dissipative electrically driven fluids
Authors: Amoretti Andrea , Brattan Daniel K. , Martinoia Luca , Rongen Jonas 
Published: January 2025

Abstract
We consider entropy generating flows for fluids that achieve a steady state in the presence of a driving electric field. Having chosen one among the space of stationarity constraints that define such flows we show how energy and momentum relaxation are related in the presence of dissipation. Furthermore, we find that if such a fluid obeys Onsager reciprocity then the incoherent conductivity must be identically zero and consequently makes no contribution to the observable AC or DC charge conductivities.
1d conformal field theory and dispersion relations
Authors: Carmi Dean , Ghosh Sudip , Sharma Trakshu 
Published: January 2025

Abstract
We study conformal field theory in d = 1 space-time dimensions. We derive a dispersion relation for the 4-point correlation function of identical bosons and fermions, in terms of the double discontinuity. This extends the conformal dispersion relation of [1], which holds for CFTs in dimensions d ≥ 2, to the case of d = 1. The dispersion relation is obtained by combining the Lorentzian inversion formula with the operator product expansion of the 4-point correlator. We perform checks of the dispersion relation using correlators of generalised free fields and derive an integral relation between the kernel of the dispersion relation and that of the Lorentzian inversion formula. Finally, for 1-d holographic conformal theories, we analytically compute scalar Witten diagrams in AdS2 at tree-level and 1-loop.
ALP leptogenesis: non-thermal right-handed neutrinos from axions
Authors: Cataldi Martina , Mariotti Alberto , Sala Filippo , Vanvlasselaer Miguel 
Published: January 2025

Abstract
We propose a novel realisation of leptogenesis that relies on the out-of-equilibrium decay of an axion-like particle (ALP) into right-handed Majorana neutrinos (RHNs) in the early Universe. With respect to standard thermal leptogenesis, our mechanism lowers by two orders of magnitude the RHN mass, or the tuning in the RHN mass splittings, needed to reproduce the baryon asymmetry of the Universe and neutrino masses. We find that ALP leptogenesis requires ma > 104 GeV and fa > 1011 GeV for the ALP mass and decay constant, and predicts an early period of matter domination induced by the ALP in parts of its parameter space. We finally provide a viable supersymmetric realisation of ALP leptogenesis where the ALP is the R-axion, which accommodates GeV gravitino dark matter and predicts RHN below 10 TeV.
Left-Right model with radiative double seesaw mechanism
Authors: Areyuna C. Paulo , Cárcamo Hernández A. E. , K. N. Vishnudath , Kovalenko Sergey , Pasechnik Roman , Schmidt Iván 
Published: January 2025

Abstract
We propose an extended Left-Right symmetric model with an additional global U(1)X symmetry, which collapses to a residual subgroup ℤ2 after spontaneous symmetry breaking. In this model, the light active neutrino masses are generated via a double seesaw mechanism with the Dirac submatrix arising at one loop. In addition, the masses of the charged fermions of the Standard Model (SM) that are lighter than the top quark are generated at one loop level and the residual ℤ2 symmetry ensures the stability of the Dark Matter (DM) candidate of the model. To the best of our knowledge our model has the first implementation of the radiative double seesaw mechanism with the Dirac submatrix generated at one loop level. We show that the model can successfully account for the observed pattern of the SM fermion masses and mixing, and that it is compatible with constraints arising from the muon g-2 anomaly, neutrinoless double beta decay and DM.
Thermodynamics, magnetic properties, and global U(1) symmetry breaking of the S-type Gubser-Rocha model
Authors: Ishigaki Shuta , Xu Zhaojie 
Published: January 2025

Abstract
We study an explicit formula for the thermodynamic potential of the AdS dyonic black brane solution with an axio-dilaton hair, which was discovered in an extension of the (3 + 1)d Gubser-Rocha model enjoying S-duality. From the thermodynamic potential, we can compute the magnetization and the magnetic susceptibilities of the dyonic solution. The result of the magnetization is negative implying that the system is diamagnetic. Subsequently, we consider a specific neutral limit of the dyonic solution. In this setup, we find that the system exhibits spontaneous breaking of a global U(1) symmetry. The order parameter is given by a complex operator which is dual to the axio-dilaton field in the bulk. Interestingly, the system has a finite Hall conductivity even in the absence of the external magnetic field, and it is related to the phase of the complex operator.
Gauging the diamond: integrable coset models from twistor space
Authors: Cole Lewis T. , Cullinan Ryan A. , Hoare Ben , Liniado Joaquin , Thompson Daniel C. 
Published: January 2025

Abstract
Recent work has shown that certain integrable and conformal field theories in two dimensions can be given a higher-dimensional origin from holomorphic Chern-Simons in six dimensions. Along with anti-self-dual Yang-Mills and four-dimensional Chern-Simons, this gives rise to a diamond correspondence of theories. In this work we extend this framework to incorporate models realised through gaugings. As well as describing a higher-dimensional origin of coset CFTs, by choosing the details of the reduction from higher dimensions, we obtain rich classes of two-dimensional integrable models including homogeneous sine-Gordon models and generalisations that are new to the literature.
Systematic review of repetitive transcranial magnetic stimulation for post-stroke hemiplegic shoulder pain
Authors: Ma Zhenchao , Pan Huijuan , Bi Ranran , Li Zhenhua , Lu Weichen , Wan Ping 
Published: January 2025

Abstract
Background
Repetitive transcranial magnetic stimulation (rTMS) has shown potential in alleviating hemiplegic shoulder pain (HSP) and improving upper limb function, yet its efficacy remains debated. This study aims to assess the effectiveness of rTMS for HSP through a systematic review and meta-analysis.

Methods
Four databases were searched with the keywords “rTMS” and “HSP”. Adults aged 18 years and older with post-stroke HSP were included. The primary outcomes were pain scores and upper limb function scores, and the secondary outcomewas the incidence of adverse events. The risk of bias was assessed through the ROB tool in Review Manager 5.4.1, and statistical analysis was primarily conducted through this software.

Results
A total of 52 articles were identified from PubMed, Embase, Cochrane Library, and CNKI. Following literature screening, 11 studies were included in the analysis. The quality of the included studies was moderate.The studies encompassed 584 patients with post-stroke HSP and their average age was 62. The analysis revealed that rTMSwas significantly more effective in relieving pain compared to the control group (SMD = -1.14, p < 0.01), and low-frequency rTMSwas superior to high-frequency rTMS. In terms of improving upper limb function, rTMSwas also significantly more efficacious compared to the control group (SMD = 2.20, p < 0.01), and low-frequency and high-intensity rTMSwere more beneficial.

Conclusions
This study highlights the potential efficacy of rTMS. However, the heterogeneity among included studies, limited sample sizes, and lack of long-term follow-up data restrict the generalizability of the results.
TemperatureGAN: generative modeling of regional atmospheric temperatures
Authors: Balogun Emmanuel , Rajagopal Ram , Majumdar Arun 
Published: January 2025

Abstract
Stochastic generators are useful for estimating climate impacts on various sectors. Projecting climate risk in various sectors, e.g. energy systems, requires generators that are accurate (statistical resemblance to ground-truth), reliable (do not produce erroneous examples), and efficient. Leveraging data from the North American Land Data Assimilation System, we introduce TemperatureGAN, a Generative Adversarial Network conditioned on months, regions, and time periods, to generate 2 m above ground atmospheric temperatures at an hourly resolution. We propose evaluation methods and metrics to measure the quality of generated samples. We show that TemperatureGAN produces high-fidelity examples with good spatial representation and temporal dynamics consistent with known diurnal cycles.
Modeling snow on sea ice using physics-guided machine learning
Authors: Prasad Ayush , Merkouriadi Ioanna , Nummelin Aleksi 
Published: January 2025

Abstract
Snow is a crucial element of the sea ice system, affecting the sea ice growth and decay due to its low thermal conductivity and high albedo. Despite its importance, present-day climate models have a very idealized representation of snow, often including just one-layer thermodynamics, omitting several processes that shape its properties. Even though sophisticated snow process models exist, they tend to be excluded in climate modeling due to their prohibitive computational costs. For example, SnowModel is a numerical snow process model developed to simulate the evolution of snow depth and density, blowing snow redistribution and sublimation, snow grain size, and thermal conductivity in a spatially distributed, multilayer snowpack framework. SnowModel can simulate snow distributions on sea ice floes in high spatial (1-m horizontal grid) and temporal (1-hour time step) resolution. However, for simulations spanning over large regions, such as the Arctic Ocean, high-resolution runs face challenges of slow processing speeds and the need for large computational resources. To address these common issues in high-resolution numerical modeling, data-driven emulators are often used. However, these emulators have their caveats, primarily a lack of generalizability and inconsistency with physical laws. In our study, we address these challenges by using a physics-guided approach in developing our emulator. By integrating physical laws that govern changes in snow density due to compaction, we aim to create an emulator that is efficient while also adhering to essential physical principles. We evaluated this approach by comparing three machine learning models: long short-term memory (LSTM), physics-guided LSTM, and Random Forest, across five distinct Arctic regions. Our evaluations indicate that all models achieved high accuracy, with the physics-guided LSTM model demonstrating the most promising results in terms of accuracy and generalizability. Our approach offers a computationally faster way to emulate the SnowModel with high fidelity and a speedup of over 9000 times.
A temporal stochastic bias correction using a machine learning attention model
Authors: Nivron Omer , Wischik Damon J. , Vrac Mathieu , Shuckburgh Emily , Archibald Alex T. 
Published: January 2025

Abstract
Climate models are biased with respect to real-world observations. They usually need to be adjusted before being used in impact studies. The suite of statistical methods that enable such adjustments is called bias correction (BC). However, BC methods currently struggle to adjust temporal biases. Because they mostly disregard the dependence between consecutive time points. As a result, climate statistics with long-range temporal properties, such as the number of heatwaves and their frequency, cannot be corrected accurately. This makes it more difficult to produce reliable impact studies on such climate statistics. This article offers a novel BC methodology to correct temporal biases. This is made possible by rethinking the philosophy behind BC. We will introduce BC as a time-indexed regression task with stochastic outputs. Rethinking BC enables us to adapt state-of-the-art machine learning (ML) attention models and thereby learn different types of biases, including temporal asynchronicities. With a case study of number of heatwaves in Abuja, Nigeria and Tokyo, Japan, we show more accurate results than current climate model outputs and alternative BC methods.
Examples of ergodic cylindrical cascades over a two-dimensional torus
Authors: ABDEDOU FATNA , WU HAO 
Published: January 2025

Abstract
A cylindrical cascade on

$\mathbb {T}^d\times \mathbb {R}^r$

can be seen as a deterministic random walk on

$\mathbb {R}^r$

driven by an observable over the irrational toral translation on the base torus. We prove that, when the observable is the indicator function of a generic (straight) rectangle in

$\mathbb {T}^2$

, the cascade on

$\mathbb {T}^2\times \mathbb {R}$

is ergodic for a

$G_{\delta }$

-dense set of translation vectors. We also provide examples of ergodic cylindrical cascades in higher dimensions with more restrictive conditions on the side lengths of the rectangles.
A 606 W burst-mode picosecond Yb-doped all-fiber laser with an intra-burst repetition rate of 469 MHz
Authors: Li Xinyao , Yu Haijuan , Zou Shuzhen , He Chaojian , Ning Chaoyu , Wu Wenjuan , Chen Xuechun , Lin Xuechun 
Published: January 2025

Abstract
This paper introduces a novel fiber-based picosecond burst-mode laser system capable of operating at high power and high repetition rates. A pulse-circulating fiber ring was developed as a burst generator, achieving an intra-burst repetition rate of 469 MHz without the need for a high-repetition-rate seed source. This design also allows for flexible adjustment of the number of sub-pulses, burst repetition rate and burst shape. In addition, a master oscillator power amplifier was employed to analyze the amplification characteristics of bursts. The system demonstrated a maximum average power of 606 W, with a measured sub-pulse duration of 62 ps and the highest sub-pulse peak power of 980 kW. To the best of our knowledge, this marks the highest average power obtained in burst-mode ultrafast lasers. Such a laser system holds potential for applications in precision manufacturing, high-speed imaging, high-precision ranging and other diverse domains.
A Common Denominator? Epistemic Systems Bridge Epistemic Relativism and Epistemic Oppression
Authors: Veigl Sophie Juliane 
Published: January 2025

Abstract
The relation between epistemic relativism and epistemic oppression is contentious but undertheorized. Both positions rest on one or the other version of the situated knowledge thesis, based on the idea that access to and justification of knowledge is dependent on a particular context or, to be precise, an epistemic system. Whether this notion is coextensive in both schools of thought is, however, unclear. In this article, I aim to examine the relation between epistemic relativism and epistemic oppression by analyzing the notion of “epistemic system.” Through this analysis, I shall argue that the epistemic relativism literature has neglected power imbalances within epistemic systems since it rests on idealizing epistemic systems to sets of epistemic principles. Understanding epistemic systems as necessarily social and political, I then confront the idea formulated in the epistemic oppression literature that some forms of oppression are “irreducibly epistemic.” I argue that epistemic principles can never fully determine their applications and thus essentially require the social. Thus, insisting on the “irreducibly epistemic” might not be a favorable option for epistemic oppression or epistemic relativism scholarship.