bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cultural schemas and folk-belief: an insight into the belief in worshiping the Mother Goddess in Vietnam
Authors: Tran Ly Thi Phuong , Phan Tan Hoang , Nguyen Nhu Vo Tam 
Published: January 2024

AbstractReligious belief, as noted by scholars like Émile Durkheim (1858–1917), Max Weber (1864–1920), Sigmund Freud (1856–1939), and William James (1842–1910), reflects shared values, shapes human conduct, and provides spiritual strength. Furthermore, it is considered a template that expresses the basic spiritual needs and aspirations of human life, containing many cultural values and characteristics of the thinking of ethnic communities. Moreover, people perceive everything by schemas formed in memory. In this study, the authors chose the subject of the belief in worshiping the Mother Goddess—one of the most popular and ancient beliefs in Vietnam and inscribed by UNESCO as a Representative Intangible Cultural Heritage of Humanity in 2016. Employing a combination of quantitative and qualitative methods, including surveys, linguistic materials, and field research, the study explores how Vietnamese cultural beliefs shape perception, behavior, and lifestyle. Therefore, understanding and analyzing the characteristics of the beliefs in worshiping the Mother Goddess through the lens of Cultural Linguistics can present the actual spiritual experiences of Vietnamese people. From this unique perspective, the process of perceiving the world has meaning to the language and behavior of a community culture.
Unraveling the influence of income-based ambient population heterogeneity on theft spatial patterns: insights from mobile phone big data analysis
Authors: Xu Chong , He Zhenhao , Song Guangwen , Chen Debao 
Published: January 2024

AbstractWhile previous research has underscored the profound influence of the ambient population distribution on the spatial dynamics of crime, the exploration regarding the impact of heterogeneity within the ambient population, such as different income groups, on crime is still in its infancy. With the support of mobile phone big data, this study constructs an index of ambient population heterogeneity to represent the complexity of the social environment. After controlling for the effects of total ambient population, nonlocal rate, transportation accessibility, crime attractors, and crime generators, this study employs a negative binomial regression model to examine the influence of ambient population heterogeneity and different income groups on the spatial manifestations of thefts. The findings indicate that ambient population heterogeneity significantly escalates the incidence of thefts, with middle and upper-middle-income groups acting as more attractive targets, whereas the higher-income group exerts a deterrent effect. The interaction analysis shows that increased population heterogeneity contributes to social disorder, thereby amplifying the attractiveness of the ambient population to perpetrators. These conclusions highlight the crucial role of ambient population heterogeneity in explaining crime dynamics and therefore enrich the routine activity theory.
The Coriolis effect and coupled oscillations in a rotating swings amusement ride
Authors: Schilder Jurnan P , Pendrill Ann-Marie 
Published: January 2024

Abstract
Rotating swings are found in many different versions in parks around the world. They are beautiful examples of the equivalence between gravitational and inertial mass: empty swings and swings with heavy adults hang at the same angle to the vertical. However, sometimes one can notice empty swings moving in a different pattern in an outdoor ride, where wind can induce additional motion, sideways or back to front—in addition to any oscillations caused by a tilted carousel head. This paper focuses on oscillations for the simpler case of a non-tilting roof. Even for this case, the oscillating motion is found to be complicated by the Coriolis effect, which leads to a gyroscopic coupling between sideways oscillations and back-to-front oscillations. This coupling is illustrated for a few special cases.
Numerical eigenanalysis of continuum geodesic acoustic mode by ideal magnetohydrodynamic model
Authors: Guo W , Ma J 
Published: January 2024

Abstract
In this study, we have developed a new eigenvalue code to solve the three-variables ideal magnetohydrodynamic (MHD) equation in flux coordinate system with the help of a symbolic vector analysis module and an automatic numerical discretization module, which were developed with the use of symbolic computation technique and were greatly facilitated the development of toroidal full MHD eigenvalue code SCELT. It has been used to solve for unstable modes and the present work is dedicated to the more difficult challenge of MHD continua, which ordinarily come with spatial singularities. With this new code, we were able to perform numerical calculations to determine the continuum spectrum of geodesic acoustic modes (GAMs), as well as obtain eigenfunctions for both the perturbed plasma displacement and perturbed magnetic field, incorporating a sufficient number of components. Through our global calculations, we have provided numerical evidence of singularities in the eigenfunctions, characterized by the type

s
−

s
0

−
1

and

In

s
−

s
0

. Moreover, we have examined the spatial variations of GAM fluctuations in regions both near and far from the singular surface. Here

s

represents a flux function that characterizes the magnetic flux surfaces and

s
=

s
0

defines the singular surface. Additionally, we have investigated the effects of finite aspect ratio, non-circular cross sections as well as the asymmetry on the frequency and eigenfunction of continuum GAMs through numerical analysis.
A self-recoverable negative stiffness metamaterial with enhanced bearing and energy dissipation capacity
Authors: Lv Weitao , Li Dong , Ren Xin 
Published: January 2024

Abstract
Because of their desirable properties, mechanical metamaterials have drawn increasing attention. Negative stiffness (NS) metamaterials can be used as reusable energy dissipation devices, but they usually have low bearing capacity. In this study, a self-recoverable NS structure with enhanced bearing and energy dissipation capacity was proposed. It breaks free from the size limitations of curved beams or thin rods, and can have high bearing and energy dissipation capacity through the mutual extrusion and friction between the snap plug and the layered snap groove. The mechanical properties of the proposed NS structure were studied by finite element analysis and experiments. The reusability of the structure was verified by cyclic loading experiments. The results show that compared with the traditional curved beam NS structure and the previously self-recoverable NS structure, the bearing and energy dissipation capacity of the proposed structure have been greatly improved.
Long-term Evolution of Solar Activity and Prediction of the Following Solar Cycles
Authors: Luo Pei-Xin , Tan Bao-Lin 
Published: January 2024

Abstract
Solar activities have a great impact on modern high-tech systems, such as human aerospace activities, satellite communication and navigation, deep space exploration, and related scientific research. Therefore, studying the long-term evolution trend of solar activity and accurately predicting the future solar cycles are highly anticipated. Based on the wavelet transform and empirical function fitting of the longest recorded data of the annual average relative sunspot number (ASN) series of 323 yr to date, this work decisively verifies the existence of the solar century cycles and confirms that its length is about 104.0 yr, and the magnitude has a slightly increasing trend on the timescale of several hundred years. Based on this long-term evolutionary trend, we predict solar cycles 25 and 26 by using phase similar prediction methods. As for solar cycle 25, its maximum ASN will be about 146.7 ± 33.40, obviously stronger than solar cycle 24. The peak year will occur approximately in 2024, and the period will be about 11 ± 1 yr. As for solar cycle 26, it will start around 2030, and reach its maximum between 2035 and 2036, with maximum ASN of about 133.0 ± 3.200, and period of about 10 yr.
Effect of fillers on the piezocapacitive behaviour of silicone rubber particulate composites
Authors: Shankar B S Manohar , Kulkarni S M 
Published: January 2024

Abstract
Robotics and fluid dynamics applications have created demand for development of electronic skins with embedded pressure sensors. These applications require simple and low-cost fabrication processes with large area deployment. Both structured and unstructured material approaches to sensor development have been followed. Among the various sensing mechanisms, piezo capacitive transduction is superior. This paper reports the influence of fillers on the piezo capacitive characteristics of unstructured solid silicone rubber composites. Dielectric, conductive and conductive-dielectric fillers were incorporated into solid silicone rubber and fabricated using high temperature compression moulding to form dielectric-dielectric, conductive-dielectric and conductive-dielectric dielectric composites. The results reveal that piezo capacitive sensitivity varies with filler type, filler loading, curing agent loading, mixing time and curing temperature. The experiments reveal improved normalized capacitance with pressure characteristics of linearity and sensitivity of 3.9 × 10−3 (kPa)−1 in the 0–20 kPa range of pressure. These composites are thus candidate materials for flexible pressure sensing applications.
Picosecond laser drilling grids in aluminium foil at 532 and 355 nm wavelengths
Authors: Tojinazarov Furkat , Sobirov Bekhzod , Ibragimova Elvira , Iskandarov Nurmukhammad , Nazarov Khamdam 
Published: January 2024

Abstract
Ultra-short laser drilling technique enables production of filters, membranes, microfluidic, photonic, and biomedical devices. Micro-hole grids were drilled in aluminum foil using a 28 picosecond Nd:YAG laser operated at wavelength of 532 and 355 nm with energy up to 18 and 12 mJ, respectively. Varying pulse energy and number, micro-holes obtained at 355 nm and 3.6–9 mJ had the appropriate mean diameter of 36–86 μm. However, the circularity changed in 0.5–0.94. For the 2nd harmonic the mean diameter varied 15–61 μm at 0.36–9 mJ with the circularity of 0.81–0.92. The morphology of the area surrounding micro-holes investigated by scanning electron microscopy exhibited distribution of droplets dominated size 0.9–10 μm, which is feasible for filtration of contaminated liquids. Local elemental composition of the area determined by energy dispersive spectroscopy discovered significant increase in the concentration of C and O, and also emergency of F, depending on laser fluence under vapor-dominated ablation mode, where nuclear reactions are excited in hot plasma.
Podocyte-specific Nup160 knockout mice develop nephrotic syndrome and glomerulosclerosis
Authors: Li Yuanyuan , Xu Chan , Zhao Feng , Liu Qinghong , Qiu Xiaojian , Li Min , Yang Yonghui , Yu Shentong , Tong Huajuan , Zhang Lifang , Chen Bing , Qu Lijuan , Yu Zihua 
Published: January 2024

Abstract
More than 60 monogenic genes mutated in steroid-resistant nephrotic syndrome (SRNS) have been identified. Our previous study found that mutations in nucleoporin 160 kD (NUP160) are implicated in SRNS. The NUP160 gene encodes a component of the nuclear pore complex. Recently, two siblings with homozygous NUP160 mutations presented with SRNS and a nervous system disorder. However, replication of nephrotic syndrome (NS)-associated phenotypes in a mammalian model following loss of Nup160 is needed to prove that NUP160 mutations cause SRNS. Here, we generated a podocyte-specific Nup160 knockout (Nup160podKO) mouse model using CRISPR/Cas9 and Cre/loxP technologies. We investigated NS-associated phenotypes in these Nup160podKO mice. We verified efficient abrogation of Nup160 in Nup160podKO mice at both the DNA and protein levels. We showed that Nup160podKO mice develop typical signs of NS. Nup160podKO mice exhibited progression of proteinuria to average albumin/creatinine ratio (ACR) levels of 15.06 ± 2.71 mg/mg at 26 weeks, and had lower serum albumin levels of 13.13 ± 1.34 g/l at 30 weeks. Littermate control mice had urinary ACR mean values of 0.03 mg/mg and serum albumin values of 22.89 ± 0.34 g/l at the corresponding ages. Further, Nup160podKO mice exhibited glomerulosclerosis compared with littermate control mice. Podocyte-specific Nup160 knockout in mice led to NS and glomerulosclerosis. Thus, our findings strongly support that mutations in NUP160 cause SRNS. The newly generated Nup160podKO mice are a reliable mammalian model for future study of the pathogenesis of NUP160-associated SRNS.
A liftedℓ1 framework for sparse recovery
Authors: Rahimi Yaghoub , Kang Sung Ha , Lou Yifei 
Published: January 2024

AbstractWe introduce a lifted $\ell _1$ (LL1) regularization framework for the recovery of sparse signals. The proposed LL1 regularization is a generalization of several popular regularization methods in the field and is motivated by recent advancements in re-weighted $\ell _1$ approaches for sparse recovery. Through a comprehensive analysis of the relationships between existing methods, we identify two distinct types of lifting functions that guarantee equivalence to the $\ell _0$ minimization problem, which is a key objective in sparse signal recovery. To solve the LL1 regularization problem, we propose an algorithm based on the alternating direction method of multipliers and provide proof of convergence for the unconstrained formulation. Our experiments demonstrate the improved performance of the LL1 regularization compared with state-of-the-art methods, confirming the effectiveness of our proposed framework. In conclusion, the LL1 regularization presents a promising and flexible approach to sparse signal recovery and invites further research in this area.
Super-Networks Shaping International Agreements: Comparing the Climate Change and Nuclear Weapons Arenas
Authors: Schapper Andrea , Dee Megan 
Published: January 2024

Abstract
While research on transnational advocacy networks (TANs) is well established in international relations, knowledge gaps remain concerning TAN collaboration across policy fields. To address this gap, this article highlights how super-networks (networks above individual TANs) emerge across issue areas and explores the tactics utilized to achieve their objectives and shape international agreements. We develop an analytical framework that emphasizes the important interplay between political opportunity structures, mobilizing structures, and tactics in understanding how super-networks operate. We apply this framework via a comparative case study approach, analyzing the Inter-Constituency Alliance, whose advocacy brought about the inclusion of human rights language in the 2015 Paris Climate Agreement, and the International Campaign for the Abolition of Nuclear Weapons, whose activities based on humanitarian principles resulted in the 2017 Treaty on the Prohibition of Nuclear Weapons. Contributing new knowledge to TANs research, we identify that super-networks utilize multilevel advocacy activities that draw upon a package approach tactic. Via the package approach, super-networks synthesize multiple voices from different issue areas into one key message grounded in humanitarian framing, thereby enhancing their moral leverage and legitimacy, making it more difficult for states to neglect their concerns.
IDH1 mutation inhibits differentiation of astrocytes and glioma cells with low oxoglutarate dehydrogenase expression by disturbing α-ketoglutarate-related metabolism and epigenetic modification
Authors: Zhao Yuanlin , Yang Ying , Yang Risheng , Sun Chao , Gao Xing , Gu Xiwen , Yuan Yuan , Nie Yating , Xu Shenhui , Han Ruili , Zhang Lijun , Li Jing , Hu Peizhen , Wang Yingmei , Chen Huangtao , Cao Xiangmei , Wu Jing , Wang Zhe , Gu Yu , Ye Jing 
Published: January 2024

AbstractIsocitrate dehydrogenase (IDH) mutations frequently occur in lower-grade gliomas and secondary glioblastomas. Mutant IDHs exhibit a gain-of-function activity, leading to the production of D-2-hydroxyglutarate (D-2HG) by reducing α-ketoglutarate (α-KG), a central player in metabolism and epigenetic modifications. However, the role of α-KG homeostasis in IDH-mutated gliomagenesis remains elusive. In this study, we found that low expression of oxoglutarate dehydrogenase (OGDH) was a common feature in IDH-mutated gliomas, as well as in astrocytes. This low expression of OGDH resulted in the accumulation of α-KG and promoted astrocyte maturation. However, IDH1 mutation significantly reduced α-KG levels and increased glutaminolysis and DNA/histone methylation in astrocytes. These metabolic and epigenetic alterations inhibited astrocyte maturation and led to cortical dysplasia in mice. Moreover, our results also indicated that reduced OGDH expression can promote the differentiation of glioma cells, while IDH1 mutations impeded the differentiation of glioma cells with low OGDH by reducing the accumulation of α-KG and increasing glutaminolysis. Finally, we found that l-glutamine increased α-KG levels and augmented the differentiation-promoting effects of AGI5198, an IDH1-mutant inhibitor, in IDH1-mutant glioma cells. Collectively, this study reveals that low OGDH expression is a crucial metabolic characteristic of IDH-mutant gliomas, providing a potential strategy for the treatment of IDH-mutant gliomas by targeting α-KG homeostasis.
AGREE: a new benchmark for the evaluation of distributional semantic models of ancient Greek
Authors: Stopponi Silvia , Peels-Matthey Saskia , Nissim Malvina 
Published: January 2024

Abstract
The last years have seen the application of Natural Language Processing, in particular, language models, to the study of the Semantics of ancient Greek, but only a little work has been done to create gold data for the evaluation of such models. In this contribution we introduce AGREE, the first benchmark for intrinsic evaluation of semantic models of ancient Greek created from expert judgements. In the absence of native speakers, eliciting expert judgements to create a gold standard is a way to leverage a competence that is the closest to that of natives. Moreover, this method allows for collecting data in a uniform way and giving precise instructions to participants. Human judgements about word relatedness were collected via two questionnaires: in the first, experts provided related lemmas to some proposed seeds, while in the second, they assigned relatedness judgements to pairs of lemmas. AGREE was built from a selection of the collected data.
Digitizing the USPTO patent backfile
Authors: Rowberry Simon 
Published: January 2024

Abstract
The digitization of the US Patent and Trademark Office’s (USPTO) backfile of six million patents undertaken between 1951 and 2001 was a five-decade struggle, featuring several media transitions from print and microfilm to CD-ROMs and, finally, the Web. This mass digitization project is on a similar scale to Google Books and the Internet Archive, but it is rarely discussed within critical digitization scholarship or for its significance as a tool for knowledge production. In this article, I focus on the USPTO’s patent document’s digital and physical material form and how the current paradigm of access and storage of the digital backfile emerged. Through this case study, I build upon Ian Milligan’s distinction between the ‘text’ and ‘platform’ layers of a digitization project to demonstrate how historical decisions regarding format and metadata continue to influence how users retrieve and interpret documents, such as patents, online.
Trajectory maps: molecular dynamics visualization and analysis
Authors: Kožić Matej , Bertoša Branimir 
Published: January 2024

Abstract
Molecular dynamics simulations generate trajectories that depict system's evolution in time and are analyzed visually and quantitatively. Commonly conducted analyses include RMSD, Rgyr, RMSF, and more. However, those methods are all limited by their strictly statistical nature. Here we present trajectory maps, a novel method to analyze and visualize protein simulation courses intuitively and conclusively. By plotting protein's backbone movements during the simulation as a heatmap, trajectory maps provide new tools to directly visualize protein behavior over time, compare multiple simulations, and complement established methods. A user-friendly Python application developed for this purpose is presented, alongside detailed documentation for easy usage and implementation. The method's validation is demonstrated on three case studies. Considering its benefits, trajectory maps are expected to adopt broad application in obtaining and communicating meaningful results of protein molecular dynamics simulations in many associated fields such as biochemistry, structural biology, pharmaceutical research etc.
Gastroesophageal reflux disease increases the risk of essential hypertension: results from the Nationwide Readmission Database and Mendelian randomization analysis
Authors: Yao Zhenyu , Zhao Chunhui , Zhang Yue , Fan Xiude , Zhao Dong , Gao Ling 
Published: January 2024

Abstract

Background
The link between gastroesophageal reflux disease (GERD) and essential hypertension (EH) and its causal nature remains controversial. Our study examined the connection between GERD and the risk of hypertension and assessed further whether this correlation has a causal relationship.

Methods
First, we utilized the National Readmission Database including 14 422 183 participants to conduct an observational study. Dividing the population into GERD and non-GERD groups, we investigated the correlation between GERD and EH using multivariate logistic regression. Next, bidirectional two-sample Mendelian randomization was adopted. The summary statistics for GERD were obtained from a published genome-wide association study including 78 707 cases and 288 734 controls. We collected summary statistics for hypertension containing 70 651 cases and 223 663 controls from the FinnGen consortium. We assessed causality primarily by the inverse-variance weighted method with validation by four other Mendelian randomization approaches as well as an array of sensitivity analyses.

Results
In the unadjusted model, GERD patients had a higher risk of EH than the non-GERD group, regardless of gender (odds ratio, 1.43; 95% confidence interval: 1.42–1.43; P &lt; .001). Further adjusting for critical confounders did not change this association. For Mendelian randomization, we found that genetically predicted GERD was causally linked to an enhanced risk of EH in inverse-variance weighted technique (odds ratio, 1.52; 95% confidence interval: 1.39–1.67; P = 3.51 × 10−18); conversely, EH did not raise the risk of GERD causally.

Conclusions
GERD is a causal risk factor for EH. Further research is required to probe the mechanism underlying this causal connection.