bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diagnostic and prognostic value of circulating exosomal glypican-1 in pancreatic cancer: a meta-analysis
Authors: Qiao Zengyun , Wang Enbo , Bao Boyang , Tan Xiaodong , Chen Hailong , Wang Dong , Yuan Liu 
Published: January 2024

Abstract

Background
Pancreatic cancer (PC) is usually detected in the advanced stages. Liquid biopsy has become a revolutionary strategy for cancer diagnosis and prognosis prediction. This study aims to investigate the diagnostic and prognostic value of circulating exosomal glypican-1 (GPC-1) in PC.

Methods
We systematically searched relevant studies. For diagnostic accuracy, pooled sensitivity and specificity and the area under the summary receiver operating characteristic curve (AUC) were calculated. Regarding prognostic value, hazard ratios (HRs) and 95% CIs for overall survival (OS) were summarized by using a random-effects model.

Results
We found 8 studies that examined the diagnostic value of circulating exosomal GPC-1 in PC, and 3 studies that investigated its prognostic value. Pooled sensitivity and specificity were 0.88 (95% CI, 0.65-0.97) and 0.86 (95% CI, 0.72-0.94). The AUC was 0.93 (95% CI, 0.90-0.95). Prognostic analysis showed that higher levels of circulating exosomal GPC-1 were associated with poorer OS in PC patients, and the combined HR for OS was 4.59 (random-effects model, 95% CI = 1.17-18.03, P = .022). The results of both studies were robust and neither had publication bias.

Conclusion
Circulating exosomal GPC-1 may be used as a diagnostic and prognostic biomarker for PC. However, this result needs to be validated by further research using a larger sample size.
The abundance of dark matter haloes down to Earth mass
Authors: Zheng Haonan , Bose Sownak , Frenk Carlos S , Gao Liang , Jenkins Adrian , Liao Shihong , Liu Yizhou , Wang Jie 
Published: January 2024

ABSTRACT
We use the voids-within-voids-within-voids (VVV) simulations, a suite of successive nested N-body simulations with extremely high resolution (denoted, from low to high resolution, by L0 to L7), to test the Press–Schechter (PS), Sheth–Tormen (ST), and extended Press–Schechter (EPS) formulae for the halo abundance over the entire mass range, from minihaloes of 10−6 M⊙, to cluster haloes of 1015 M⊙, at different redshifts, from z = 30 to the present. We find that at z = 0 and z = 2, ST best reproduces the results of L0, which has the mean cosmic density (overdensity δ = 0), at 1011−15 M⊙. The higher resolution levels (L1–L7) are biased underdense regions (δ &lt; −0.6). The EPS formalism takes this into account since it gives the mass function of a region conditioned, in this case, on having a given underdensity. EPS provides good matches to these higher levels, with deviations ≲20 per cent, at 10−6−12.5 M⊙. At z ∼ 7−15, the ST predictions for L0 and the EPS for L1–L7 show somewhat larger deviations from the simulation results. However, at even higher redshifts, z ∼ 30, EPS fits the simulations well again. We confirm our results by picking more subvolumes from the L0 simulation, finding that our conclusions depend only weakly on the size and overdensity of the region. The good agreement of EPS with the higher level simulations implies that PS (or ST) gives an accurate description of the total halo mass function in representative regions of the universe.
Variable white dwarfs in TMTS: asteroseismological analysis of a ZZ Ceti star, TMTS J17184064+2524314
Authors: Guo Jincheng , Chen Yanhui , Yang Yonghui , Wang Xiaofeng , Lin Jie , Ma Xiao-Yu , Xi Gaobo , Mo Jun , Filippenko Alexei V , Brink Thomas G , Zong Weikai , Yan Huahui , Zhao Jingkun , Zeng Xiangyun , Chen Zhihao , Esamdin Ali , Guo Fangzhou , Iskandar Abdusamatjan , Jiang Xiaojun , Li Wenxiong , Liu Cheng , Shi Jianrong , Song Xuan , Wang Letian , Xiang Danfeng , Yan Shengyu , Zhang Jicheng 
Published: January 2024

ABSTRACT
The Tsinghua University-Ma Huateng Telescope for Survey (TMTS) has been constantly monitoring the northern sky since 2020 in search of rapidly variable stars. To find variable white dwarfs (WDs), the TMTS catalogue is cross-matched with the WD catalogue of Gaia EDR3, resulting in over 3000 light curves of WD candidates. The WD TMTS J17184064+2524314 (hereafter J1718) is the second ZZ Ceti star discovered among these common sources. Based on the light curves from TMTS, follow-up photometric observations, and Transiting Exoplanet Survey Satellite, 10 periods and three combination periods are detected. A rotation period of 25.12 ± 0.18 h is derived, according to the identified rotational splitting. Our spectroscopic observation indicates that this WD belongs to DA type with Teff = 11 670 ± 604 K, log g = 8.16 ± 0.36, M = 0.70 ± 0.23 M⊙, and age = 0.51 ± 0.34 Gyr. Based on core-parametrized asteroseismological model grids (≥14 million), we derive the best-fitting solution of Teff = 11 640 ± 20 K, log g = 8.267 ± 0.008, and M = 0.750 ± 0.005 M⊙ for J1718, consistent with the spectral fitting results. For this WD, the corresponding carbon and oxygen abundances in the core are 0.43 and 0.57, respectively. The distance derived from the intrinsic luminosity given by asteroseismology is 64 ± 15 pc, in accord with the distance of 70.1 ± 0.2 pc from Gaia DR3 within the uncertainties.
Finnish perspectives on the business of electricity distribution
Authors: Collan Mikael 
Published: January 2024

Abstract
The profits of the Finnish industry of electricity distribution are driven by a rate of return regulation model. Changes in the model caused a remarkable jump in distribution system operator (DSO) profits. The model rewards large costs and gives the DSOs an incentive to build an extremely weatherproof network, to overinvest. Allowed exceptions to lower costs of network construction may not be fully utilized. Risks connected to demographic changes may influence the forecasted network investment profitability. The emergence of energy communities may also affect the DSOs. There may be differences between public and private DSOs´ financial behavior. The ability of stakeholders to affect regulatory decisions is asymmetric.
On the Writtenness of Political Theory
Authors: Gaonkar Dilip Parameshwar , Topper Keith 
Published: January 2024

Abstract
This volume of essays brings together a group of distinguished and emerging scholars in political theory, philosophy, communication, literature, history, and other areas of the humanities who share an interest in the rhetorical character of political thought and discourse. The essays focus on a wide range of issues regarding the pivotal function of rhetoric in the history of political thought and contemporary political theory. These include, but are not limited to, questions about the performative and constitutive dimensions of political language; the role of affect and emotion in political life; the relationship between logic and style in political argument; the work of persuasion in politics; the play of contingency, experience, and prudence in political judgment; and the rhetorical structure of political texts as evinced in the unavoidable gap between what they say and what they do.
Computer-Supported Collaborative Learning
Authors: Chan Carol , Chen Gaowei , Chen Bodong 
Published: January 2024

Abstract
This chapter discusses the theory, design, and technology of computer-supported collaborative learning (CSCL) for promoting collaborative inquiry and productive discourse, illustrated with several major CSCL research traditions. CSCL, which emerged in the 1990s as an interdisciplinary field, examines how collaboration is supported by technology, focusing on social interactions and computational artifacts. CSCL goes beyond individual learning, emphasizing group cognition and the coordinated processes through which learners negotiate and co-construct shared understandings for knowledge construction. This chapter includes seven sections: (1) Introduction, (2) What is CSCL and theoretical perspectives, (3) CSCL technological affordances, (4) Designing CSCL environments and major research programs, (5) Methodology and analysis of collaboration, (6) Emerging themes and design implications, and (7) Future research directions. After introducing the distinctive features of CSCL, the chapter discusses the theoretical underpinnings of CSCL, including socio-cognitive, socio-cultural, and knowledge-creation perspectives, as well as the technological affordances that inform the design of collaborative learning. Several major CSCL traditions are discussed, ranging from structured to open-ended learning environments, including Collaborative Scripting, Metacognition and Regulation, Argumentation, Dialogism, and Knowledge Building, with a focus on theory-design-technology integration. This chapter also explores the analysis of collaboration and CSCL methods and new technologies, including learning analytics, for examining and supporting collaboration. CSCL is a diverse field, and comparative analyses of these different long-standing research traditions highlight emerging theoretical and design implications. Future directions point to different provocations for developing expanded frameworks and designs that embrace diversity and leverage technological advances to support collaboration, innovation, and creativity.
Tracking Garnet Dissolution Kinetics in 3D Using Deep Learning Grain Shape Classification
Authors: Hartmeier Philip , Lanari Pierre , Forshaw Jacob B , Markmann Thorsten A 
Published: January 2024

Abstract
The kinetics of fluid-driven metamorphic reactions are challenging to study in nature because of the tendency of metamorphic systems to converge towards chemical equilibrium. However, in cases where mineral textures that reflect incomplete reactions are preserved, kinetic processes may be investigated. Atoll garnet, a texture formed by the dissolution of a garnet’s core, has been described in 2D from thin sections of rocks worldwide. Quantifying the extent of this dissolution reaction requires a sample-wide examination of hundreds of individual grains in 3D. In this study, we quantified the distribution of atoll garnet using micro-computed tomography and grain shape analysis. A convolutional neural network was trained on human-labeled garnet grains for automated garnet classification. This approach was applied to a retrogressed mafic eclogite from the Zermatt–Saas Zone (Western Alps). Pervasive atoll-like resorption preferentially affected the larger porphyroblasts, suggesting that compositional zoning patterns exert a first-order control on dissolution rates. A kinetic model shows that the reactivity of metastable garnet to form atolls is favored at pressure–temperature conditions of 560 ± 30°C and 1.6 ± 0.2 GPa. These conditions coincide with the release of water when lawsonite breaks down during the exhumation of mafic eclogites. The model predicts dissolution rates that are three to five times faster for the garnet core than for the rim. This study shows that deep learning algorithms can perform automated textural analysis of crystal shapes in 3D and that these datasets have the potential to elucidate petrological processes, such as the kinetics of fluid-driven metamorphic reactions.
Enhancing international collaboration in science, technology, and innovation to achieve sustainable development goals
Authors: Dominguez Lacasa Iciar , Molina Vogelsang Manuel 
Published: January 2024

Abstract
This paper develops a framework for policymakers supporting sustainable development through international collaboration in science, technology, and innovation (STI). The approach can be applied to derive the national policy strategy for international collaboration in STI. The contribution focuses on the case of Germany in the field of food and agriculture. Accordingly, considering Germany’s current strategic approach for international collaboration in STI, an evidence-based tool for priority setting in the selection of potential partners and technology fields is developed and implemented. More specifically, the approach assesses the opportunity environment for international STI collaboration of Germany with potential partners using patent and economic indicators to capture technological capabilities, technological demand, economic relevance of food, and agriculture in national economies as well as technological and export specialization in food and agriculture. The results present policy strategies enhancing sustainable development.
The Evolution of Multiple Color Mechanisms Is Correlated with Diversification in Sunbirds (Nectariniidae)
Authors: Nicolaï Michaël P J , Van Hecke Bert , Rogalla Svana , Debruyn Gerben , Bowie Rauri C K , Matzke Nicholas J , Hackett Shannon J , D’Alba Liliana , Shawkey Matthew D 
Published: January 2024

Abstract
How and why certain groups become speciose is a key question in evolutionary biology. Novel traits that enable diversification by opening new ecological niches are likely important mechanisms. However, ornamental traits can also promote diversification by opening up novel sensory niches and thereby creating novel inter-specific interactions. More specifically, ornamental colors may enable more precise and/or easier species recognition and may act as key innovations by increasing the number of species-specific patterns and promoting diversification. While the influence of coloration on diversification is well-studied, the influence of the mechanisms that produce those colors (e.g., pigmentary, nanostructural) is less so, even though the ontogeny and evolution of these mechanisms differ. We estimated a new phylogenetic tree for 121 sunbird species and combined color data of 106 species with a range of phylogenetic tools to test the hypothesis that the evolution of novel color mechanisms increases diversification in sunbirds, one of the most colorful bird clades. Results suggest that: (1) the evolution of novel color mechanisms expands the visual sensory niche, increasing the number of achievable colors, (2) structural coloration diverges more readily across the body than pigment-based coloration, enabling an increase in color complexity, (3) novel color mechanisms might minimize trade-offs between natural and sexual selection such that color can function both as camouflage and conspicuous signal, and (4) despite structural colors being more colorful and mobile, only melanin-based coloration is positively correlated with net diversification. Together, these findings explain why color distances increase with an increasing number of sympatric species, even though packing of color space predicts otherwise.
Catch-Up Growth and Inter-industry Productivity Spillovers: Evidence from Trade Data
Authors: Bolhuis Marijn A 
Published: January 2024

Abstract
Where and when does export-led growth work? This paper estimates the importance of inter-industry productivity spillovers for the export-led growth of developing countries. My empirical strategy is based on a standard quantitative trade model that features sector-level gravity in trade flows. Applying the framework to four decades of trade data, I find clear evidence of spillovers, which are larger for skill-intensive sectors. The estimates imply that patterns of sectoral specialization play a quantitatively important role in accounting for the slow convergence of labor productivity in tradable sectors. Quantitative exercises suggest that export-led growth works for poorer countries with an initial comparative advantage in manufacturing, as these countries can use foreign demand from richer countries to reallocate labor towards sectors with high spillovers.
A Western Pocahontas: Myth, Reality, and Memorialization for Spotted Tail’s Daughter, Mni-Akuwin
Authors: Rankin Charles E 
Published: January 2024

Abstract
In March 1866, the Sicangu (Brulé) Lakota chief Spotted Tail brought the body of his seventeen- or eighteen-year-old daughter, Mni-Akuwin, to Fort Laramie. She had died somewhere in the Powder River country. Before she died, she had asked her father to bury her among the Whites at the fort. Her subsequent scaffold burial in the post cemetery was an unusual mix of military display, Christian rites, and Lakota traditions; and the events surrounding it became a dramatic episode in the story of Native-White relations and western settlement. Almost 140 years later she was memorialized at the fort, a National Park Service site, as a symbol of racial reconciliation.
The story of Mni-Akuwin has been told and retold many times through the years, often as a romantic tragedy comparable to the story of early Jamestown and the much-celebrated Pocahontas. The two Native women had a surprising amount in common, including what we know and don’t know about them, what has been ascribed to their motives, and how they have been championed as defenders of European colonists and non-Native settlers. Indian princess mythology, with its insistence on innocence, purity, romantic purpose, and tragedy, has been vital to the persistence of this view—a perspective that has often put reconciliation in the service of White supremacy, dispossession, and rejection of Native culture.
As the Mni-Akuwin story illustrates, reconciliation can be problematic.
Effects of Background Noise and Linguistic Violations on Frontal Theta Oscillations During Effortful Listening
Authors: Mohammadi Yousef , Graversen Carina , Manresa José Biurrun , Østergaard Jan , Andersen Ole Kæseler 
Published: January 2024

Objectives:
Background noise and linguistic violations have been shown to increase the listening effort. The present study aims to examine the effects of the interaction between background noise and linguistic violations on subjective listening effort and frontal theta oscillations during effortful listening.

Design:
Thirty-two normal-hearing listeners participated in this study. The linguistic violation was operationalized as sentences versus random words (strings). Behavioral and electroencephalography data were collected while participants listened to sentences and strings in background noise at different signal to noise ratios (SNRs) (−9, −6, −3, 0 dB), maintained them in memory for about 3 sec in the presence of background noise, and then chose the correct sequence of words from a base matrix of words.

Results:
Results showed the interaction effects of SNR and speech type on effort ratings. Although strings were inherently more effortful than sentences, decreasing SNR from 0 to –9 dB (in 3 dB steps), increased effort rating more for sentences than strings in each step, suggesting the more pronounced effect of noise on sentence processing that strings in low SNRs. Results also showed a significant interaction between SNR and speech type on frontal theta event-related synchronization during the retention interval. This interaction indicated that strings exhibited higher frontal theta event-related synchronization than sentences at SNR of 0 dB, suggesting increased verbal working memory demand for strings under challenging listening conditions.

Conclusions:
The study demonstrated that the interplay between linguistic violation and background noise shapes perceived effort and cognitive load during speech comprehension under challenging listening conditions. The differential impact of noise on processing sentences versus strings highlights the influential role of context and cognitive resource allocation in the processing of speech.
Five Retained Soft Contact Lenses in the Upper Fornix: A Case Report in a Patient with Hemifacial Atrophy
Authors: Zhao Minghao , Gu Tianyi , Teng Li , Zhang Chao 
Published: January 2024

Summary:
The displacement of a lost contact lens into the upper fornix is an uncommon occurrence. This case report presents a rare incidence wherein a patient diagnosed with hemifacial atrophy was found to have concealed five soft contact lenses within the left upper fornix during autologous fat injection into the retrobulbar space.
The investigation of dysregulated visual perceptual organization in adults with autism spectrum disorders with phase-amplitude coupling and directed connectivity
Authors: Sun Limin 
Published: January 2024

AbstractPhase-amplitude coupling (PAC) has been used as a powerful tool to understand the mechanism underlying neural binding by investigating neural synchrony across different frequency bands. This study examined the possibility that dysregulated alpha-gamma modulation may be crucially involved in aberrant brain functioning in autism spectrum disorder (ASD). Magnetoencephalographic data were recorded from 13 adult participants with ASD and 16 controls. The time-coursed sources averaged over a primary visual area 1 and fusiform gyrus area were reconstructed with the minimum-norm estimate method. The alpha-gamma PAC was further calculated based on these sources. The statistical analysis was implemented based on the PAC and directed asymmetry index. The results showed the hyper-activity coupling for ASD at the no-face condition and revealed the importance of alpha-gamma phase modulation in detecting a face. Our data provides novel evidence for the role of the alpha-gamma PAC and suggests that the globe connectivity may be more critical during visual perception.
Data-driven AI system for learning how to run transcript assemblers
Authors: Shen Yihang , Yan Zhiwen , Kingsford Carl 
Published: January 2024

AbstractWe introduce AutoTuneX, a data-driven, AI system designed to automatically predict optimal parameters for transcript assemblers — tools for reconstructing expressed transcripts from the reads in a given RNA-seq sample. AutoTuneX is built by learning parameter knowledge from existing RNA-seq samples and transferring this knowledge to unseen samples. On 1588 human RNA-seq samples tested with two transcript assemblers, AutoTuneX predicts parameters that resulted in 98% of samples achieving more accurate transcript assembly compared to using default parameter settings, with some samples experiencing up to a 600% improvement in AUC. AutoTuneX offers a new strategy for automatically optimizing use of sequence analysis tools.
Nephrectomy and high-salt diet inducing pulmonary hypertension and kidney damage by increasing Ang II concentration in rats
Authors: Jiang Qian , Yang Qifeng , Zhang Chenting , Hou Chi , Hong Wei , Du Min , Shan Xiaoqian , Li Xuanyi , Zhou Dansha , Wen Dongmei , Xiong Yuanhui , Yang Kai , Lin Ziying , Song Jingjing , Mo Zhanjie , Feng Huazhuo , Xing Yue , Fu Xin , Liu Chunli , Peng Fang , Li Bing , Lu Wenju , Yuan Jason X.-J. , Wang Jian , Chen Yuqin 
Published: January 2024

AbstractBackgroundPulmonary hypertension (PH) is a common complication in patients with chronic kidney disease (CKD), affecting prognosis. However, the pathogenesis is not clear, and the lack of a stable animal model is a significant factor.MethodsIn this study, a rat model of chronic kidney disease with pulmonary hypertension (CKD-PH) was developed through 5/6 nephrectomy combined with a high-salt diet. The model’s hemodynamics and pathological changes in multiple organs were dynamically assessed. Lung tissues and serum were collected from the model rats to measure the expression of ACE2, the expression levels of vascular active components related to the renin-angiotensin-aldosterone system (RAAS), and changes in the serum metabolic profile of the model.ResultsAfter 14 weeks post-surgery, the CKD-PH rat model exhibited significant changes in hemodynamic parameters indicative of pulmonary arterial hypertension, along with alterations such as right ventricular hypertrophy. However, no evidence of pulmonary vascular remodeling was observed. An imbalance in the renin-angiotensin-aldosterone system was identified in the CKD-PH rat models. Downregulation of ACE2 expression was observed in pulmonary tissues. The serum metabolic profile of the CKD-PH rat models showed distinct differences compared to the sham surgery group.ConclusionsThe development of pulmonary arterial hypertension in CKD-PH rats may be primarily attributed to the disruption of the renin-angiotensin-aldosterone system (RAAS), coupled with a decrease in ACE2 expression in pulmonary vascular endothelial tissues and metabolic disturbances.