bluuebunny/crossref_metadata_2025_split huggingface dataset:
Green cocoon-derived sericin reduces cellular damage caused by radiation in human keratinocytes
Authors: Kakihara Nahoko , Sato Momoko , Shirai Ayaki , Koguchi Mizuki , Yamauchi Shiori , Nakano Toshimichi , Sasamoto Ryuta , Sato Hideyo 
Published: February 2024

AbstractRadiation therapy used in the treatment of cancer causes skin damage, and no method of care has been established thus far. Recently, it has become clear that sericin derived from silkworm cocoons has moisturizing and antioxidant functions. In addition, green cocoon-derived sericin, which is rich in flavonoids, may have enhanced functions. However, whether this green cocoon-derived sericin can reduce radiotherapy-induced skin damage is unclear. In the present study, we aimed at establishing care methods to reduce skin cell damage caused by X-irradiation using green cocoon-derived sericin. We investigated its effect on human keratinocytes using lactate dehydrogenase activity to indicate damage reduction. Our results showed that green cocoon-derived sericin reduced cell damage caused by X-irradiation. However, this effect was not observed when cells were treated before X-irradiation or with a sericin derived from white cocoons. In addition, green cocoon-derived sericin decreased the levels of reactive oxygen species and lipid peroxidation. Our results suggest that green cocoon sericin mitigates the damaging effect of X-irradiation on cells, hence presenting potential usefulness in reducing skin damage from radiation therapy and opening new avenues in the care of cancer patients.
Locally opposite responses of the 2023 Beijing–Tianjin–Hebei extreme rainfall event to global anthropogenic warming
Authors: Zhao Dajun , Xu Hongxiong , Li Ying , Yu Yubin , Duan Yihong , Xu Xiangde , Chen Lianshou 
Published: February 2024

AbstractThe effect of anthropogenic warming on extreme rainfall events is a hot topic in this era of global warming, and increasing attention is being paid to its impact at regional and local scales. We explore the localized response of precipitation during the high-impact “23·7” extreme rainfall event in the Beijing–Tianjin–Hebei region under anthropogenic warming using ensemble convective-permitting simulations. We identify two sub-regions with opposite responses: anthropogenic warming decreased (increased) precipitation in the northern (southern) sub-region of the Beijing–Tianjin–Hebei area. Further analysis shows that anthropogenic warming intensified the remnant of Typhoon Dusuari and increased rainfall in its inner core but decreased rainfall in the peripheral spiral rain band. These are the main reasons for the locally inconsistent responses of extreme rainfall to anthropogenic warming. We emphasize that anthropogenic warming, as a global background signal, directly affects the intensity and structure of specific weather systems rather than local precipitation. A high-impact extreme rainfall event, therefore, cannot always be simply attributed to climate warming enhancing precipitation at every location in a particular region.
Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan
Authors: Tran Anh T. , Zeevi Tal , Haider Stefan P. , Abou Karam Gaby , Berson Elisa R. , Tharmaseelan Hishan , Qureshi Adnan I. , Sanelli Pina C. , Werring David J. , Malhotra Ajay , Petersen Nils H. , de Havenon Adam , Falcone Guido J. , Sheth Kevin N. , Payabvash Seyedmehdi 
Published: February 2024

AbstractHematoma expansion (HE) is a modifiable risk factor and a potential treatment target in patients with intracerebral hemorrhage (ICH). We aimed to train and validate deep-learning models for high-confidence prediction of supratentorial ICH expansion, based on admission non-contrast head Computed Tomography (CT). Applying Monte Carlo dropout and entropy of deep-learning model predictions, we estimated the model uncertainty and identified patients at high risk of HE with high confidence. Using the receiver operating characteristics area under the curve (AUC), we compared the deep-learning model prediction performance with multivariable models based on visual markers of HE determined by expert reviewers. We randomly split a multicentric dataset of patients (4-to-1) into training/cross-validation (n = 634) versus test (n = 159) cohorts. We trained and tested separate models for prediction of ≥6 mL and ≥3 mL ICH expansion. The deep-learning models achieved an AUC = 0.81 for high-confidence prediction of HE≥6 mL and AUC = 0.80 for prediction of HE≥3 mL, which were higher than visual maker models AUC = 0.69 for HE≥6 mL (p = 0.036) and AUC = 0.68 for HE≥3 mL (p = 0.043). Our results show that fully automated deep-learning models can identify patients at risk of supratentorial ICH expansion based on admission non-contrast head CT, with high confidence, and more accurately than benchmark visual markers.
Gliomas: a reflection of temporal gliogenic principles
Authors: Sojka Caitlin , Sloan Steven A. 
Published: February 2024

AbstractThe hijacking of early developmental programs is a canonical feature of gliomas where neoplastic cells resemble neurodevelopmental lineages and possess mechanisms of stem cell resilience. Given these parallels, uncovering how and when in developmental time gliomagenesis intersects with normal trajectories can greatly inform our understanding of tumor biology. Here, we review how elapsing time impacts the developmental principles of astrocyte (AS) and oligodendrocyte (OL) lineages, and how these same temporal programs are replicated, distorted, or circumvented in pathological settings such as gliomas. Additionally, we discuss how normal gliogenic processes can inform our understanding of the temporal progression of gliomagenesis, including when in developmental time gliomas originate, thrive, and can be pushed towards upon therapeutic coercion.
Effects of the ApoE genotype on cognitive function in aging mice fed with a high-fat diet and the protective potential of n-3 polyunsaturated fatty acids
Authors: Zhang Xin , Xie Tianzhi , Zhou Shuang , Yuan Yingxuan , Chen Weixuan , Zheng Jie , Liu Xuebo , Yuan Tian , Lu Yanhui , Liu Zhigang 
Published: February 2024

The ApoE4 allele is the strongest genetic determinant for AD, while obesity is a strong environmental risk for AD. Importantly, n-3 PUFAs may serve as a strategic nutritional intervention for brain health, especially for ApoE4 carriers.
Investigating X-ray emission in the GeV-emitting compact symmetric objects PKS 1718–649 and TXS 1146+596
Authors: Bronzini E. , Migliori G. , Vignali C. , Sobolewska M. , Stawarz Ł. , Siemiginowska A. , Orienti M. , D’Ammando F. , Giroletti M. , Principe G. , Balasubramaniam K. 
Published: February 2024

Aims. Compact symmetric objects (CSOs) are thought to represent the first step in the evolutionary path of radio galaxies. In the present study, we investigated the X-ray emission of two CSOs confirmed to emit at GeV energies: PKS 1718–649 and TXS 1146+596. Unveiling the origin of their observed high-energy emission is crucial to establishing the physical parameters of the radio source and understanding how CSOs interact with the surrounding medium.
Methods. We combined archival and new NuSTAR observations of PKS 1718–649 and TXS 1146+596 to have broadband X-ray coverage. For both sources, we modeled the broadband spectral energy distribution (SED) from the radio band up to γ-rays in order to derive their physical parameters. We also discuss the role of the ambient medium in confining the source expansion, which we investigate using X-ray obscuration.
Results. For the first time, we report X-ray detections of PKS 1718–649 and 1146+596 with NuSTAR at energies higher than 10 keV. Combining Chandra and NuSTAR observations of TXS 1146+596, we reveal the presence of a multitemperature thermal component dominating the soft X-ray spectrum, and we interpret this finding as indicative of an AGN feedback process in action in this source. In addition, we show that two emitting electron populations are necessary to reproduce the observed broadband SED of TXS 1146+596: in our models, the X-ray emission could either be produced by synchrotron radiation or by a weak X-ray corona, or could be an ADAF-type emission. Interestingly, an additional X-ray component, namely a weak corona, is also required for PKS 1718–649. Moreover, we argue that heavily obscured and possibly frustrated sources tend to show different radio sizes with respect to those that are unobscured and free to expand.
Sliding-window cross-correlation and mutual information methods in the analysis of solar wind measurements
Authors: Gu Chaoran , Heidrich-Meisner Verena , Wimmer-Schweingruber Robert F. 
Published: February 2024

Context. When describing the relationships between two data sets, four crucial aspects must be considered, namely: timescales, intrinsic lags, linear relationships, and non-linear relationships. We present a tool that combines these four aspects and visualizes the underlying structure where two data sets are highly related. The basic mathematical methods used here are cross-correlation and mutual information (MI) analyses. As an example, we applied these methods to a set of two-month’s worth of solar wind density and total magnetic field strength data.
Aims. Two neighboring solar wind parcels may have undergone different heating and acceleration processes and may even originate from different source regions. However, they may share very similar properties, which would effectively “hide” their different origins. When this hidden information is mixed with noise, describing the relationships between two solar wind parameters becomes challenging. Time lag effects and non-linear relationships between solar wind parameters are often overlooked, while simple time-lag-free linear relationships are sometimes insufficient to describe the complex processes in space physics. Thus, we propose this tool to analyze the monotonic (or linear) and non-monotonic (or non-linear) relationships between a pair of solar wind parameters within a certain time period, taking into consideration the effects of different timescales and possible time lags.
Methods. Our tool consists of two parts: the sliding-window cross-correlation (SWCC) method and sliding-window mutual information (SWMI) method. As their names suggest, both parts involve a set of sliding windows. By independently sliding these windows along the time axis of the two time series, this technique can assess the correlation coefficient (and mutual information) between any two windowed data sets with any time lags. Visualizing the obtained results enables us to identify structures where two time series are highly correlated, while providing information on the relevant timescales and time lags.
Results. We applied our proposed tool to solar wind density and total magnetic field strength data. Structures with distinct timescales were identified. Our tool also detected the presence of short-term anti-correlations coexisting with long-term positive correlations between solar wind density and magnetic field strength. Some non-monotonic relationships were also found.
Conclusions. The visual products of our tool (the SWCC+SWMI maps) represent an innovative extension of traditional numerical methods, offering users a more intuitive perspective on the data. The SWCC and SWMI methods can be used to identify time periods where one parameter has a strong influence on the other. Of course, they can also be applied to other data, such as multi-wavelength photometric and spectroscopic time series, thus providing a new tool for solar physics analyses.
Nourrir sans détruire avec des systèmes alimentaires territorialisés durables : le cas de l’espace Afrique-Europe
Authors: Rastoin Jean-Louis , Seck Papa Abdoulaye 
Published: February 2024

Après quatre transitions technologiques et organisationnelles en 400 000 ans, l’humanité est en quête d’une sécurité alimentaire durable et partagée. En effet, les lourdes externalités négatives du système agro-industriel devenu hégémonique en 150 ans incitent à reconstruire les systèmes alimentaires dans une perspective socio-écologique. Sur la base d’une synthèse de diverses prospectives, les auteurs présentent le scénario alternatif de « systèmes alimentaires territorialisés durables » (SATD) fondés sur la qualité élargie des produits, l’autonomie territoriale, la proximité et la solidarité. Un tel scénario induirait de profonds changements dans les pays du Nord et du Sud, avec des trajectoires contextualisées. Pour l’Europe, il s’agit d’une rupture de tendance. En Afrique, la faible prégnance du modèle agro-industriel suggère une orientation directe vers des SATD, sans passer par ce modèle agro-industriel. À partir de considérations théoriques et empiriques, quatre préconisations sont faites à l’intention des décideurs publics et privés : planification stratégique, prévention des risques par le concept « une seule santé », redéploiement de la chaîne des savoirs, reconfiguration des filières agro-alimentaires et de leurs modes de gouvernance.
Existence of solutions for gradient coupled Dirichlet systems
Authors: Boccardo Lucio , Orsina Luigi 
Published: February 2024

In this paper, we prove existence of weak solutions in W1,20 (Ω) ∩L∞(Ω) for the gradient coupled Dirichlet system
{u ∈ W1,20 (Ω): –div(M(x)∇u) + u + a(x)∇u · ∇ψ = f(x),
{ψ ∈ W1,20 (Ω): –div(M(x)∇ψ) + ψ + a(x)∇u · ∇ψ = g(x).
We also prove that if f (x), g(x) ≥ 0 (of course ≢ 0 a.e.), then u(x), ψ(x) ≥ 0 and the sets {u = 0} and {ψ = 0} have zero Lebesgue measure.
Enhancing the corporate social & environmental responsibility of Chinese energy enterprises: A view from the role of management compensation incentive
Authors: He Jiaxin , Li Jingyi , Chen Xing 
Published: February 2024

AbstractEnergy enterprises are an important basis for ensuring national energy security and economic development, and their social responsibility is closely related to addressing environmental concerns such as over-exploitation of resources and excessive discharge of pollution. The casual effects of management compensation incentives on corporate social & environmental responsibility are explored based on the panel data of Chinese energy enterprises from 2010 to 2021 using the instrumental variable estimation method. The results indicate that management salary incentives can significantly promote the implementation of corporate social responsibility and environmental responsibility, while the proportion of management shareholding will reduce corporate social responsibility (CSR) and environmental responsibility (CER) activities. In addition, there are obvious industry differences and corporate ownership differences in the effects of management compensation incentives on CSR and CER. The negative impact of equity incentives on CSR and CER is even more pronounced in the electricity and environmental industry, and salary incentives have a greater positive effect on CSR for state-owned enterprises. The study shows that enterprises should focus on the salary incentive of managers and appropriately reduce their shareholding. The government should pay attention to the development of state-owned energy enterprises, and limit the shareholding ratio of management through policies and other incentive systems.
Press portrayals of Saudi Women’s empowerment in the context of military enlistment
Authors: Ghobain Elham , Al-Nofaie Haifa , Saad Amira 
Published: February 2024

AbstractMedia representations are susceptible to attitudes. This study examined how the press frames the attitudes of Western, non-Western, and Saudi newspapers towards employing Saudi women in the military, a topic which has formed a rich area of interest for the press between 2018 and 2023. To that end, a corpus comprising 29 articles (10,288 words) from both local and international publications was compiled, with the purpose of conducting critical discourse analysis. The study analysed corpus concordances both quantitatively and qualitatively seeking to identify attitudes generated through language and discourse, either implicitly or explicitly. Following Van Dijk’s socio-cognitive approach, the study identified keywords and co-occurrent patterns. It was found that news articles could be classified into three patterns of their representation of Saudi women empowerment: advocating, biased and neutral. This study offers a reflection on how the linguistic features of newspapers frame females and address female issues on diverse grounds.
Intersecting language and society: a prototypical study of Cinderella story translations in China
Authors: Liu Yanjin , Li Dechao 
Published: February 2024

AbstractThe stories of Cinderella, highlighting the theme of kindness, are classic children’s literature worldwide. In China, the translation of the Cinderella stories has been listed in the Chinese textbook series launched in 2004, exerting a profound influence on generations of Chinese readers. This study investigates howHuiguniang, the Chinese counterpart of the character Cinderella, has become a household name among Chinese children. By examining the changes, correlations, and shifts of their prototypical features under the framework of the Aarne-Thompson-Uther classification in the three Chinese translations of the Cinderella stories and the ancient Chinese folkloreThe tale of Ye Xian, the study examines how factors such as external stability, internal dynamic trade-offs, and the iterative nature and empowerment of translation have popularized and canonizedHuiguniangin China. The study further extends its focus within the broader context of discourse studies, embracing the intersections of language and society, as it brings to light the intricate dynamics of translation, empowerment, and cultural reception.
Expected values of sum-based topological indices of random cyclodecane chains
Authors: Tang Jiang-Hua , Yousaf Shamaila , Javaid Ashraf Maryam , Tawfiq Ferdous M O , Aslam Adnan 
Published: February 2024

Abstract
Cyclodecanes, belonging to the class of aliphatic cycloalkanes, comprise non-aromatic carbon-atom rings. Within the 10-membered ring, cyclodecanes exhibit various isomers, characterized by different spatial arrangements of carbon atoms. Serving as model compounds in organic studies, cyclodecanes offer insights into the properties and reactivity of cyclic hydrocarbons. The chemistry of cyclodecane serves as a valuable foundation for understanding the behavior of more complex hydrocarbons. In this paper, we explore the potential probabilities of random cyclodecane chains

D

t

ρ

of length t ≥ 3. We derive exact expressions for the expected values of the modified second Zagreb index, inverse index, and second NDe index. A theoretical comparative analysis of these descriptors is provided, accompanied by graphical and numerical representations of the obtained results.
Investigations on the electronic, optical, thermoelectric and thermodynamic properties of quaternary coinage metal HgSeBr: a DFT study
Authors: Hariharan M , R D Eithiraj 
Published: February 2024

Abstract
In the present study, we examine the structural, electronic, optical, thermodynamic, and transport properties of CuHgSeBr, a mercury chalcogenide halide of coinage metals. Employing the FP-LAPW method via first principles calculations in the WIEN2k code, we investigate various properties including band structure, density of states, lattice constants, Debye temperature, and effective mass. CuHgSeBr manifests as an indirect bandgap semiconductor with a measure of 0.808 eV. Optical assessments using dielectric constants reveal its pronounced absorption of photons in the ultraviolet spectrum according to the ε
2 spectra. Furthermore, we present findings on electronic and lattice thermal conductivity, binding energy, and figure of merit. Notably, our calculations indicate a figure of merit of 0.226 at 300 K and 0.556 at 800 K, indicating CuHgSeBr’s potential as a valuable material for thermoelectric devices within industrial applications. Importantly, these detailed properties of CuHgSeBr have not been previously documented, underscoring the significance of this comprehensive research, which could guide future theoretical explorations aimed at identifying alternative materials with similarly intriguing properties.
Solar neutrino background in high-pressure gaseous 82SeF6 TPC neutrinoless double beta decay experiments*
Authors: Wang 王 Jiemiao 杰妙 , Wang 汪 Hulin 虎林 , Zhang 张 Dongliang 冬亮 
Published: February 2024

Abstract
In this study, the possibility of observing a solar neutrino background in a future neutrinoless double beta decay experiment using a high-pressure gaseous 82SeF6 TPC is investigated. Various contributions are simulated, and possible features that could be used for event classification are discussed; two types of backgrounds are identified. The rate of multi-site background events is approximately 0.63 events/(ton·yr) in a 30 keV ROI window. This background could be effectively reduced to less than 0.0001 events/(ton·yr) (95% C.L.) while maintaining a high signal efficiency of 93% by applying a selection based on the number of clusters and energy of the leading cluster. The rate of the single-electron background events is approximately 0.01 events/(ton·yr) in the ROI. Assuming a reduction factor of 10 for the single-electron background events obtained via the algorithms developed for radioactive background rejection, the total background induced by the solar neutrino would be 0.001 events/(ton·yr), which is sufficiently small for conducting ton-level experiments.
Numerical Method and Test Verification for Temporary Sludge Pipeline Transportation
Authors: Liu Mingming , Zhuang Haifei , Guo Tao , Hu Jingzhao 
Published: February 2024

Abstract
In response to the problems of poor stability and low efficiency in the transportation of temporary sludge in Shanghai Laogang, based on indoor experimental data, numerical simulation was used to predict the pressure drop characteristics of pipelines with different solid content, pipe diameters, and flow velocities, the numerical results show that at the same flow rate and pipe diameter, the pressure drop increases with the increase of solid content; The pressure drop gradually increases with the increase of flow rate at the same pipe diameter and solid content, and when the the flow state inside the pipe changes, there is a turning point in the flow rate pressure drop curve; At the same flow rate and solid content, the pressure drop decreases with the increase of pipe diameter. Combined with test for pipe pressure drop, the numerical method was verified, which provides guidance for the optimization and improvement of sludge transportation plans and the selection of transportation pumps.
A Flow Field Super-resolution Strategy for Direct Numerical Simulation Based on Physics-informed Convolutional Neural Networks
Authors: Ouyang Hanqing , Zhu Zhicheng , Zheng Weixiong , Hao Jia 
Published: February 2024

Abstract
In the computational fluid dynamics method, the discretization of the solution domain has an important impact on the calculation results. The higher resolution grid improves the solution accuracy and is accompanied by a significant increase in the calculation time. How to improve efficiency under the premise of ensuring accuracy is of great significance in engineering. To this end, we propose a super-resolution strategy for direct numerical simulation (DNS): take the numerical simulation results at low-resolution grid as the initial solution, construct a model for super-resolution utilizing the convolutional neural networks, and embed the flow governing equations in the model to modify the initial solution. The proposed method is verified in the engineering case of pipeline transportation of non-Newtonian fluids. The results show that this strategy can improve the solution accuracy and shorten the simulation time. The deviation between the high-resolution results reconstructed by the model and the high-resolution flow field simulated by DNS is 63.18% lower than that of the low-resolution one simulated by DNS, and the calculation time is saved by 84.65%.