bluuebunny/crossref_metadata_2025_split huggingface dataset:
CRIRES+ transmission spectroscopy of WASP-127 b
Authors: Nortmann L. , Lesjak F. , Yan F. , Cont D. , Czesla S. , Lavail A. , Rains A. D. , Nagel E. , Boldt-Christmas L. , Hatzes A. , Reiners A. , Piskunov N. , Kochukhov O. , Heiter U. , Shulyak D. , Rengel M. , Seemann U. 
Published: January 2025

Context. General circulation models of gas giant exoplanets predict equatorial jets that drive inhomogeneities in the atmospheric physical parameters across the planetary surface.
Aims. We studied the transmission spectrum of the hot Jupiter WASP-127 b during one transit in the K band with CRIRES+.
Methods. Telluric and stellar signals were removed from the data using SYSREM and the planetary signal was investigated using the cross-correlation technique. After detecting a spectral signal indicative of atmospheric inhomogeneities, we employed a Bayesian retrieval framework with a two-dimensional modelling approach tailored to address this scenario.
Results. We detected strong signals of H2O and CO, which exhibited not one but two distinct cross-correlation peaks. The doublepeaked signal can be explained by a supersonic equatorial jet and muted signals at the planetary poles, with the two peaks representing the signals from the planet’s morning and evening terminators. We calculated an equatorial jet velocity of 7.7 ± 0.2 km s−1 from our retrieved overall equatorial velocity and the planet’s tidally locked rotation, and derive distinct atmospheric properties for the two terminators as well as the polar region. Our retrieval yields a solar C/O ratio and metallicity, and shows that the muted signals from the poles can be explained by either significantly lower temperatures or a high cloud deck. It provides tentative evidence for the morning terminator to be cooler than the evening terminator by −175−117+133 K.
Conclusions. Our detection of CO challenges previous non-detections of this species in WASP-127b’s atmosphere. The presence of a clear double-peaked signal highlights the importance of taking planetary three-dimensional structure into account during interpretation of atmospheric signals. The measured supersonic jet velocity and the lack of signal from the polar regions, representing a detection of latitudinal inhomogeneity in a spatially unresolved target, showcases the power of high-resolution transmission spectroscopy for the characterisation of global circulation in exoplanet atmospheres.
Topological electronic structure and transport properties of the distorted rutile-type WO2
Authors: Muramatsu Yuto , Hirai Daigorou , Kawamura Mitsuaki , Minami Susumu , Ikeda Yoshitaka , Shimada Takahiro , Kojima Keita , Katayama Naoyuki , Takenaka Koshi 
Published: January 2025

We elucidate the transport properties and electronic structures of distorted rutile-type WO2. Electrical resistivity and Hall effect measurements of high-quality single crystals revealed the transport property characteristics of topological materials; these characteristics included an extremely large magnetoresistance of 13 200% (2 K and 9 T) and a very high carrier mobility of 25 700 cm2 V−1 s−1 (5 K). First-principles calculations revealed Dirac nodal lines (DNLs) near the Fermi energy in the electronic structure when spin–orbit interactions (SOIs) were absent. Although these DNLs mostly disappeared in the presence of SOIs, band crossings at high-symmetry points in the reciprocal space existed as Dirac points. Furthermore, DNLs protected by nonsymmorphic symmetry persisted on the ky = π/b plane. The unique transport properties originating from the topological electronic structure of chemically and thermally stable WO2 could represent an opportunity to investigate the potential electronic applications of the material.
Delineating how PCIs develop
into GCIs from a cognition-pragmatics
diachronic perspective
Authors: Liang Nina , Zhang Yanfei , Zhang Yuan 
Published: January 2025

Abstract
The Gricean GCI-PCI divide has long been questioned in
linguistic pragmatics. Taking Chinese méimù in the CCL corpus
as the case, the present study proposes the cognition-pragmatics diachronic
model to examine Grice’s GCI-PCI divide. It is found that with the frequency of
repeated usage increasing over time, PCIs develop into GCIs; these two types of
conversational implicatures are not easily divided. Semantic change from PCIs to
GCIs is a dynamic process of cognition from individual entrenchment to
collective conventionalization. By schematization and categorization, the former
gradually builds an individual’s knowledge network with many entrenched PCI
nodes, while the latter is reflected as sharing some parts of the individual’s
knowledge network in the collective minds, i.e., the community’s knowledge
network with some conventionalized GCI nodes, further forming socio-cultural
conventions in a speech community. During this process, there is a division of
labor between context and conventions. Therefore, the diachronic study sheds new
light on the relationship between GCIs and PCIs.
The geometric blowup of smooth solutions to 1D quasilinear strictly hyperbolic systems with large variational initial data*
Authors: Jun Li , Gang Xu , Huicheng Yin 
Published: January 2025

Abstract
For the first order 1D n × n quasilinear strictly hyperbolic system

∂
t

u
+
F
(
u
)

∂
x

u
=
0

with

u
(
x
,
0
)
=
ε

u
0

(
x
)

, where ɛ > 0 is small,

u
0

(
x
)
≢
0

and

u
0

(
x
)
∈

C
0
2

(

R

)

, when at least one eigenvalue of n × n real matrix F(u) is genuinely nonlinear, it is well-known that on the finite blowup time T

ɛ
, the derivatives

∂

t
,
x

u

blow up while the solution u keeps small. For the 1D scalar equation or

2
×
2

strictly hyperbolic system (corresponding to

n
=
1
,
2

), if the smooth solution u blows up in finite time, then the blowup mechanism has been well understood (i.e. only the blowup of

∂

t
,
x

u

happens). In the present paper, for the 1D n × n (

n
⩾
3

) strictly hyperbolic system and large variational initial data

u
(
x
,
0
)

without compact supports, where

u
(
x
,
0
)

is small but its derivatives are large, we investigate the smallness of the solution u itself, the blowup mechanism and the detailed singularity behaviours of

∂

t
,
x

u

near the blowup point. Our results are based on the efficient decomposition of u and the involved analysis along the different characteristic directions, the suitable introduction of the modulated coordinates and the global weighted energy estimates together with the characteristics method.
Computational symplectic topology and symmetric orbits in the restricted three-body problem
Authors: Joung Chankyu , Koert Otto van 
Published: January 2025

Abstract
In this paper, we propose a computational approach to proving the Birkhoff conjecture on the restricted three-body problem, which asserts the existence of a disk-like global surface of section. Birkhoff had conjectured this surface of section as a tool to prove existence of a direct periodic orbit. Using techniques from validated numerics we prove the existence of an approximately circular direct orbit for a wide range of mass parameters and Jacobi energies. We also provide methods to rigorously compute the Conley–Zehnder index of periodic Hamiltonian orbits using computational tools, thus giving some initial steps for developing computational Floer homology and providing the means to prove the Birkhoff conjecture via symplectic topology. We apply this method to various symmetric orbits in the restricted three-body problem.
Hamiltonian formalism for cosmological perturbations: fixing the gauge
Authors: Artigas Danilo , Grain Julien , Vennin Vincent 
Published: January 2025

Abstract
Cosmological perturbation theory is an example of a gauge theory, where gauge
transformations correspond to changes in the space-time coordinate system. To determine physical
quantities, one is free to introduce gauge conditions (i.e. to work with specific space-time
coordinates), and such conditions are often used to simplify technical aspects of the calculation
or to facilitate the interpretation of the physical degrees of freedom. Some of the prescriptions
introduced in the literature are known to fix the gauge only partially, but it is commonly assumed
that the remaining gauge degrees of freedom can be fixed somehow. In this work, we show that this
is not necessarily the case, and that some of these gauges are indeed pathological. We derive a
systematic procedure to determine whether a gauge is pathological or not, and to complete
partially-fixed gauges into healthy gauges when this is possible. In this approach, the Lagrange
multipliers (i.e. the perturbed lapse and shift in the ADM formalism) cannot appear in the
off-shell definition of the gauges, they necessarily arise as on-shell consequences of the gauge
conditions. As illustrative applications, we propose an alternative, non-pathological formulation
of the synchronous gauge, and we show that the uniform-expansion gauge (as well as any gauge
ensuring vanishing lapse perturbations) can hardly be made healthy. Our methodology also allows us
to construct all gauge-invariant variables. We further show that our non-pathological criterion
for gauges is also the one that ensures Dirac brackets to be properly defined. This allows
cosmological perturbations to be quantised in a gauge-fixed way. We finally discuss possible
generalisations of our formalism.
Girls Who Disappear, Girls Who Remember
Authors: Choi Jinhee 
Published: January 2025

Abstract
This chapter analyzes the colonial and post-war eras where girl victims remember, share, and write the history of their predicaments. The Silenced (Lee Hae-young, 2015), Snowy Road (Lee Na-jeong, 2015), and A Werewolf Boy (Jo Sung-hee, 2012) all present girls as the “writing subject” who asserts her limited agency by writing, literally or figuratively. The three films complement one another in terms of their historical settings: The Silenced and Snowy Road are entirely or partially set in the 1930s and ’40s under Japanese colonial rule, while the flashbacks in A Werewolf Boy unfold against the post-war period of dictatorship. Personal writing, such as in diaries and letters, has been a practice integral to girls’ culture since the 1920s and ’30s and has become a persistent trope in girls’ fiction and cinema. This chapter examines how personal writing provides the marginal subject in the film mentioned, with a perspective that allows communication between girls and the sharing of personal experience. Last, it briefly discusses the film I Can Speak (Kim Hyun-seok, 2017), which transforms the female protagonist, whose past includes working as a sexual slave during the colonial era, from a writing to a speaking subject.
Afterword
Authors: Choi Jinhee 
Published: January 2025

Abstract
The afterword reflects on recent Korean film trends that concern girlhood and coming-of-age plots or mother-daughter relationships. The author briefly summarizes the conceptual frameworks that are employed to examine girlhood, gender, and labor as well as leisure and idleness and shows an innovative way that Forever Girls contributes to the study of contemporary South Korean cinema and national cinemas more generally. She further acknowledges the death of Korean actors and actresses who passed away while she was completing the book and how their deaths turn the book into an opportunity to reflect on and cherish their performances.
Multimodal multiobjective optimization with structural network control principles to optimize personalized drug targets for drug discovery of individual patients
Authors: Liang Jing , Hu Zhuo , Bi Ying , Cheng Han , Guo Wei-Feng 
Published: January 2025

Abstract
Structural network control principles provided novel and efficient clues for the optimization of personalized drug targets (PDTs) related to state transitions of individual patients. However, most existing methods focus on one subnetwork or module as drug targets through the identification of the minimal set of driver nodes and ignore the state transition capabilities of other modules with different configurations of drug targets [i.e. multimodal drug targets (MDTs)] embedding the knowledge of previous drug targets (i.e. multiobjective optimization). Therefore, a novel multimodal multiobjective evolutionary optimization framework (called MMONCP) is proposed to optimize PDTs with network control principles. The key points of MMONCP are that a constrained multimodal multiobjective optimization problem is formed with discrete constraints on the decision space and multimodality characteristics, and a novel evolutionary algorithm denoted as CMMOEA-GLS-WSCD is designed by combining a global and local search strategy and a weighting-based special crowding distance strategy to balance the diversity of both objective and decision space. The experimental results on three cancer genomics data from The Cancer Genome Atlas indicate that MMONCP achieves a higher performance including algorithm convergence and diversity, the fraction of identified MDTs, and the area under the curve score than advanced algorithms. Additionally, MMONCP can detect the early state from the difference between the target activity and toxicity of MDTs and provide early treatment options for cancer treatment in precision medicine.
Early subacute frontal callosal microstructure and language outcomes after stroke
Authors: Vadinova Veronika , Brownsett Sonia L E , Garden Kimberley L , Roxbury Tracy , O’Brien Katherine , Copland David A , McMahon Katie L , Sihvonen Aleksi J 
Published: January 2025

Abstract
The integrity of the frontal segment of the corpus callosum, forceps minor, is particularly susceptible to age-related degradation and has been associated with cognitive outcomes in both healthy and pathological ageing. The predictive relevance of forceps minor integrity in relation to cognitive outcomes following a stroke remains unexplored. Our goal was to evaluate whether the heterogeneity of forceps minor integrity, assessed early after stroke onset (2–6 weeks), contributes to explaining variance in longitudinal outcomes in post-stroke aphasia. Both word- and sentence-level tasks were employed to assess language comprehension and language production skills in individuals with first-ever left-hemisphere stroke during the early subacute and chronic phases of recovery (n = 25). Structural and diffusion neuroimaging data from the early subacute phase were used to quantify stroke lesion load and bilateral forceps minor radial diffusivity. Multiple linear regression models examined whether early subacute radial diffusivity within the forceps minor, along with other factors (stroke lesion load, age, sex and education), explained variance in early subacute performance and longitudinal recovery (i.e. change in behavioural performance). Increased early subacute radial diffusivity in the forceps minor was associated with poor early subacute comprehension (t = −2.36, P = 0.02) but not production (P = 0.35) when controlling for stroke lesion load, age, sex and education. When considering longitudinal recovery, early subacute radial diffusivity in the forceps minor was not linked to changes in performance in either comprehension (P = 0.11) or production (P = 0.36) under the same control variables. The examination of various language components and processes led to novel insights: (i) language comprehension may be more susceptible to white matter brain health than language production and (ii) the influence of white matter brain health is reflected in early comprehension performance rather than longitudinal changes in comprehension. These results suggest that evaluating baseline callosal integrity is a valuable approach for assessing the risk of impaired language comprehension post-stroke, while also underscoring the importance of nuanced analyses of behavioural outcomes to enhance our understanding of the clinical applicability of baseline brain health measures.
Robust Diagnosis of Acute Bacterial and Viral Infections via Host Gene Expression Rank-Based Ensemble Machine Learning Algorithm: A Multi-Cohort Model Development and Validation Study
Authors: Shen Yifei , Han Dongsheng , Qu Wenxin , Yu Fei , Zhang Dan , Xu Yifan , Shen Enhui , Chu Qinjie , Timko Michael P , Fan Longjiang , Zheng Shufa , Chen Yu 
Published: January 2025

Abstract

Background
The accurate and prompt diagnosis of infections is essential for improving patient outcomes and preventing bacterial drug resistance. Host gene expression profiling as an approach to infection diagnosis holds great potential in assisting early and accurate diagnosis of infection.

Methods
To improve the precision of infection diagnosis, we developed InfectDiagno, a rank-based ensemble machine learning algorithm for infection diagnosis via host gene expression patterns. Eleven data sets were used as training data sets for the method development, and the InfectDiagno algorithm was optimized by multi-cohort training samples. Nine data sets were used as independent validation data sets for the method. We further validated the diagnostic capacity of InfectDiagno in a prospective clinical cohort.

Results
After selecting 100 feature genes based on their gene expression ranks for infection prediction, we trained a classifier using both a noninfected-vs-infected area under the receiver-operating characteristic curve (area under the curve [AUC] 0.95 [95% CI, 0.93–0.97]) and a bacterial-vs-viral AUC 0.95 (95% CI, 0.93–0.97). We then used the noninfected/infected classifier together with the bacterial/viral classifier to build a discriminating infection diagnosis model. The sensitivity was 0.931 and 0.872, and specificity 0.963 and 0.929, for bacterial and viral infections, respectively. We then applied InfectDiagno to a prospective clinical cohort (n = 517), and found it classified 95% of the samples correctly.

Conclusions
Our study shows that the InfectDiagno algorithm is a powerful and robust tool to accurately identify infection in a real-world patient population, which has the potential to profoundly improve clinical care in the field of infection diagnosis.
Developing a co-designed, culturally responsive physical activity program for Pasifika communities in Western Sydney, Australia
Authors: Lederman Oscar , Moors-Mailei Amanda , Peacock Yvonne , McKeon Grace , Llana Alessandro , Burns David , Rosenbaum Simon , Caperchione Cristina M 
Published: January 2025

Abstract
Pasifika communities in Western Sydney experience significant health disparities, particularly related to chronic diseases such as cardiovascular conditions and diabetes. Physical activity is known to improve both physical and mental health, yet access to culturally responsive physical activity programs for Pasifika communities is limited. This study leveraged expertise from an Advisory Committee to adopt community-based participatory research (CBPR) through Talanoa to co-design a physical activity program specifically tailored for Pasifika people in Western Sydney. Pasifika mothers were identified as a priority population due to their central role in family health and well-being. The co-design process followed the four stages of Engage, Gather, Understand and Improve, guided by the Fonofale Model of Health to ensure a culturally responsive approach. We report on each stage of the co-design process and the results gathered, highlighting key findings such as the need for culturally safe environments, flexible scheduling, ensuring programs are community-led and addressing key barriers including caregiving responsibilities, sociocultural expectations and health status. The results from this study will guide the implementation of a culturally tailored physical activity program that meets the unique needs and values of the Pasifika community in Western Sydney.
Estimating Wingbeat Frequency of Hummingbirds Using a No-Labeling Learning Computer Vision Approach
Authors: Bastidas-Rodriguez Maria Ximena , Fernandes Ana Melisa , Espejo-Uribe María José , Abaunza Diana , Roncancio Juan Sebastián , Gutierrez-Zamora Eduardo Aquiles , Pai Cristian Flórez , Smiley Ashley , Hurme Kristiina , Clark Christopher J , Rico-Guevara Alejandro 
Published: January 2025

Synopsis
Wingbeat frequency estimation is an important aspect for the study of avian flight, energetics, and behavioral patterns, among others. Hummingbirds, in particular, are ideal subjects to test a method for this estimation due to their fast wing motions and unique aerodynamics, which result from their ecological diversification, adaptation to high-altitude environments, and sexually selected displays. Traditionally, wingbeat frequency measurements have been done via “manual” image/sound processing. In this study, we present an automated method to detect, track, classify, and monitor hummingbirds in high-speed video footage, accurately estimating their wingbeat frequency using computer vision techniques and signal analysis. Our approach utilizes a zero-shot learning algorithm that eliminates the need for labeling during training. Results demonstrate that our method can produce automated wingbeat frequency estimations with minimal supervision, closely matching those performed by trained human observers. This comparison indicates that our method can, in some scenarios, achieve low or zero error compared to a human, making it a valuable tool for flight analysis. Automating video analysis can assist wingbeat frequency estimation by reducing processing time and, thus, lowering barriers to analyze biological data in fields such as aerodynamics, foraging behavior, and signaling.
Donor-acceptor engineering of triplet exciton optimized MOF photocatalyst for efficient singlet oxygen-mediated oxidations
Authors: Wang Kai , Li Chang-Tai , Zhang Guo-Lei , Yu Wang Han- , Geng Lin , Zhang Bo , Yu Mei-Hui , Zhang Jijie , Chang Ze , Bu Xian-He 
Published: January 2025

Abstract
The exploration of photocatalyst (PC) for efficient singlet oxygen (1O2)-based photocatalytic oxidation is critical and challenging. Herein, a new series of donor-acceptor metal-organic frameworks (D-A MOFs) were constructed through the engineering of D-A system and investigated as PCs for 1O2 oxidation reaction. By regulating the intersystem crossing and reversed intersystem crossing (ISC/RISC) features of the D-A system, the D-A MOFs could reveal high tunable triplet excitons generation. Synergy with the enhanced electron transfer properties and the effective energy transfer to ground state O2, the optimized D-A MOF (C1) could reveal remarkable activity toward 1O2 generation under proper irradiation, which is fully proved by the highly efficient oxidation and detoxification of mustard simulant 2-chloroethyl ethyl sulfide (CEES) into 2-chloroethyl ethyl sulfoxide (CEESO) (conversion and selectivity &gt;99% within 15 min). Moreover, the application of C1 for the photocatalytic oxidation of dihydroartemisinic acid (DHAA) to artemisinin result in the highest selectivity and yield (selectivity 88% and conversion &gt;99% at 25°C) among all the reported homo- or heterogeneous photocatalysts.