bluuebunny/crossref_metadata_2025_split huggingface dataset:
Topographic variation and fluid flow characteristics in rough contact interface
Authors: Ji Jiawei , Sun Wei , Du Yu , Zhu Yongqing , Guo Yuhang , Liu Xiaojun , Jiao Yunlong , Liu Kun 
Published: August 2024

AbstractUnderstanding flow characteristics of fluid near rough contact is important for the design of fluid-based lubrication and basic of tribology physics. In this study, the spreading and seepage processes of anhydrous ethanol in the interface between glass and rough PDMS are observed by a homemade optical in-situ tester. Digital image processing technology and numerical simulation software are adapted to identify and extract the topological properties of interface and thin fluid flow characteristics. Particular attention is paid to the dynamic evolution of the contact interface morphology under different stresses, the distribution of microchannels in the interface, the spreading characteristics of the fluid in contact interface, as well as the mechanical driving mechanism. Original surface morphology and the contact stress have a significant impact on the interface topography and the distribution of interfacial microchannels, which shows that the feature lengths of the microchannels, the spreading area and the spreading rate of the fluid are inversely proportional to the load. And the flow path of the fluid in the interface is mainly divided into three stages: along the wall of the island, generating liquid bridges, and moving from the tip side to the root side in the wedge-shaped channel. The main mechanical mechanism of liquid flow in the interface is the equilibrium between the capillary force that drives the liquid spreading and viscous resistance of solid wall to liquid. In addition, the phenomenon of “trapped air” occurs during the flow process due to the irregular characteristics of the microchannel. This study lays a certain theoretical foundation for the research of microscopic flow behavior of the liquid in the rough contact interface, the friction and lubrication of the mechanical system, and the sealing mechanism.
Hybrid platforms with free entry: demand-enhancing activities
Authors: Bonazzi Leda Maria , Martina Riccardo , Ursino Giovanni 
Published: August 2024

Abstract
We study the decision of a platform as to the quantity and quality of the products to sell directly on its own marketplace, where also third-party sellers decide how much to invest in the quality of their products. Using a representative agent framework that is based on a quasi-linear quality-augmented indirect utility function, we show that, under free entry, the quality investments of sellers do not change with platform entry, while the number of joining sellers does. Moreover, contrarily to what is found in the received literature, the platform may go hybrid even in the case it does not enjoy a competitive advantage vis-á-vis third-party sellers. We then study the welfare implications of a platform’s entry decision and show that promoting sellers’ investments and/or contrasting platform entry may lead to a larger as well as a lower consumer welfare. This depends on the platform’s response in equilibrium, both in terms of changes of its quality-enhancing investments and the fee charged on the revenues of third-party sellers.
A hybrid approach to analysing large scale surveys: individual values, opinions and perceptions
Authors: Pileggi Salvatore Flavio 
Published: August 2024

AbstractHigh-dimensional large scale surveys enable broad research capabilities and potential insight. However, when dealing with the intrinsic complexity of social science, the underlying knowledge engineering process may play a critical role and require to consider the characteristics and peculiarities of a given problem in context. This study proposes an analysis framework based on clustering techniques, which have been applied to discover patterns among a number of abstracted features resulting from selected attributes of the World Values Survey (WVS). As an assumption, such features have been softly classified as values, opinions and perceptions, based on their theoretical likelihood to change along the time. From a more philosophical perspective, this work assumes hybrid practices as there is no pre-formulated theory but rather an attempt to discover patterns and new knowledge from data. Given the relatively manageable dimensionality of the input dataset, the feature selection has been performed according to an application-oriented approach (rather than driven by statistical analysis) to establish a more comprehensive and consistent research framework. Among the main findings, a symbiotic relationship between the perception of satisfaction and of financial stability, as well as between the perception of security and of happiness, in addition to more complex patterns involving traditional values (e.g. family and religion), politics and believes with an impact on society. Last but not least, despite its holistic focus, the study has allowed the identification of few research gaps and, therefore, potential further research direction in the broad domain of Social Sciences.
Stress response in Escherichia coli following sublethal phenalene-1-one mediated antimicrobial photodynamic therapy: an RNA-Seq study
Authors: Muehler Denise , Morini Silvia , Geißert Janina , Engesser Christina , Hiller Karl-Anton , Widbiller Matthias , Maisch Tim , Buchalla Wolfgang , Cieplik Fabian 
Published: August 2024

AbstractSince the molecular mechanisms behind adaptation and the bacterial stress response toward antimicrobial photodynamic therapy (aPDT) are not entirely clear yet, the aim of the present study was to investigate the transcriptomic stress response in Escherichia coli after sublethal treatment with aPDT using RNA sequencing (RNA-Seq). Planktonic cultures of stationary phase E. coli were treated with aPDT using a sublethal dose of the photosensitizer SAPYR. After treatment, RNA was extracted, and RNA-Seq was performed on the Illumina NextSeq 500. Differentially expressed genes were analyzed and validated by qRT-PCR. Furthermore, expression of specific stress response proteins was investigated using Western blot analysis.The analysis of the differential gene expression following pathway enrichment analysis revealed a considerable number of genes and pathways significantly up- or down-regulated in E. coli after sublethal treatment with aPDT. Expression of 1018 genes was up-regulated and of 648 genes was down-regulated after sublethal treatment with aPDT as compared to irradiated controls. Analysis of differentially expressed genes and significantly de-regulated pathways showed regulation of genes involved in oxidative stress response and bacterial membrane damage. In conclusion, the results show a transcriptomic stress response in E. coli upon exposure to aPDT using SAPYR and give an insight into potential molecular mechanisms that may result in development of adaptation.
Graphical abstract
A Fairness Group Recommendation Algorithm Based On User Activity
Authors: Jia Junjie , Wang Fen , Wang Huijuan , Liu Shilong 
Published: August 2024

AbstractIn the process of group recommendation, due to the different preferences of group members, the recommendation results cannot meet the needs of all users. How to maximize the fairness of group recommendation is still a challenge. Therefore, this paper proposes a group recommendation algorithm based on user activity. Firstly, a group discovery algorithm based on item cluster preference was used to mine potential groups. Secondly, considering the dynamic change of activity, a sliding time window is designed to investigate the recent activity of each member in the group at the time of subgroup division, and the group is divided into active subgroup and inactive subgroup. Finally, the group recommendation list was generated by aggregating the subgroup preferences by average consensus. Experimental results on the public dataset show that compared with the AGREE algorithm, the recommendation accuracy and coverage of the proposed algorithm are improved by 2.1% and 2.9%, respectively. By focusing on the preference needs of inactive users, the proposed algorithm effectively improves the recommendation satisfaction and group fairness.
Online Portfolio Selection of Fuzzy Mean Regression Strategy Considering Investor Sentiment Based on Text Data
Authors: Zeng Zhiming , Xu Weijun , Peng Zijin , Zhong Yannan 
Published: August 2024

AbstractInvestors are often affected by emotion, cognition, and other psychological factors in stock trading when making decisions. At present, people can use machine learning and other technologies to obtain a massive amount of text data from the Internet to mine information related to investor behavior and sentiment. Building intelligent online portfolio trading strategies that consider investor sentiment has become an important topic and key challenge in the financial field. Therefore, this paper explores how to use text data to depict investor sentiment, fuzzifies historical stock price data, designs a new weight transfer equation, and finally obtains a novel fuzzy mean regression strategy that considers investor sentiment based on text data. We conduct empirical tests on this strategy by using the stock price data selected from CSI300 constituent stocks, as well as the text data of investors’ opinions on the internet. The results show that the strategy proposed in this study has a higher Calmar ratio than other mean regression strategies previously studied.
Triglyceride-Glucose Index, Modifiable Lifestyle, and Risk of Colorectal Cancer: A Prospective Analysis of the Korean Genome and Epidemiology Study
Authors: Kityo Anthony , Lee Sang-Ah 
Published: August 2024

Abstract
Background
Insulin-mediated pathways plausibly explain the pathogenesis of colorectal cancer (CRC). The triglyceride-glucose index (TyG) is a surrogate of insulin resistance (IR), but its association with CRC in the Korean population has not been evaluated.

Methods
From the 2004–2013 Korean Genome and Epidemiology Study, 98,800 participants aged 40–69 years were followed through 2020. Data on CRC incidence were obtained from the Korean National Cancer Center registry. Cox regression models and restricted cubic splines were fitted to examine the association between the TyG; In [(triglycerides) × (fasting glucose)/2] and CRC incidence. Joint effects of modifiable lifestyle factors and TyG on CRC risk were also investigated.

Results
Median follow-up time was 10.6 years, and 699 CRC cases were observed. A unit-increment in TyG was associated with increased risk of CRC combined (hazard ratio, HR: 1.28, and 95% confidence interval, CI: 1.12–1.46), colon (1.29, 1.10–1.54), and rectal cancer (1.24, 1.01–1.52). Associations were dose-dependent, with linear associations observed for CRC and colon, but non-linear associations were observed for rectal cancer. A high TyG index (above 8.4) combined with overweight/obesity was linked to an increased risk of CRC (1.31, 1.07–1.61) and colon cancer (1.33, 1.03–1.72). When combined with low fruit and vegetable intake, the risks were higher for CRC (1.40, 1.12–1.74) and colon cancer (1.57, 1.18–2.09). Combined with high red meat consumption, the risks were elevated for CRC (1.32, 1.05–1.65) and colon cancer (1.52, 1.15–2.02).

Conclusions
A high TyG index was associated with a higher risk of colorectal cancer, and the risk was highest among participants with a high BMI, low fruit and vegetable intake, and high intake of red meat, suggesting a role of both insulin resistance and modifiable lifestyle in colorectal cancer development.
The middle-income trap and the middle-technology trap in Latin America–practice comparison based on East Asian perspective
Authors: Wu Qiuju , Fang Weichuang 
Published: August 2024

AbstractMost Latin American countries entered the ranks of middle-income levels almost simultaneously with Japan and South Korea. However, while Japan and South Korea embarked on the path of economic development through technological innovation and industrial upgrading, Latin America fell into the middle-income trap. By examining the history of industrial and technological development in Brazil, Argentina, and Mexico, three representative countries in Latin America, this paper finds that the fundamental reasons for Latin America falling into the middle-income trap lie in the tension between the choice of industrialization path and primitive accumulation, as well as the institutional deficiencies in technology and industrial development. Latin America, which has fallen into the middle-income trap, finds it hard to upgrade its technology and is trapped in premature industrialization and the middle-technology trap. It can be said that Latin America has fallen into a double trap, which reinforces each other and forms a solid trap pattern. The warning from the Latin American experience is that late-developing countries need to maintain an open attitude during the process of technological catching up, build a complete technological innovation system, enhance industrial and technological governance capabilities, and seize the window of opportunity for technological and industrial upgrading. Otherwise, there is a significant risk of falling into the middle-income trap and even the double trap.
Geophysical and geoenvironmental engineering assessment of contaminated workstation soils in a metamorphic environment
Authors: Ale Temitayo Olamide , Ale Taiwo Ayomide , Faseki Oluyemi Emmanuel , Ajidahun Johnson , Oluyinka Ololade Toyin 
Published: August 2024

AbstractThis study aims to employ the electrical method, multi-pollution indices, and statistical optimization to establish a common ground for the utilization of contaminated soil as construction material and for agricultural purposes. Two samples each were taken at a depth of 0.5 m and 1.0 m from the eatery, auto-mechanic, car wash, and transformer workstations and at a control site in Akungba-Akoko, southwestern Nigeria. The concentrations of the following geochemical parameters were analyzed: Cr, Pb, Zn, Cd, Mn, and Cu. The resistivity distribution of the workstations’ subsurface layers was determined using Schlumberger vertical electrical sounding (VES). The generated geoelectrical sections revealed four geoelectric layers (topsoil, weathered layer, partially weathered/fracture bedrock, and bedrock) with two curve types: HA (50%) and AA (50%) across the workstations. The topsoil resistivity values (65–184 Ωm) from the VES results suggest moderately rich organic matter and averagely very fine-grained sand. The concentrations of the heavy metals in all the soil samples are within the maximum allowable concentration as stipulated by the National Environmental Standards and Regulations Enforcement Agency in the soil and are suitable for farm activities. Similarly, the geotechnical tests of the Atterberg limit, grain size analysis, compaction, and CBR revealed that all the soil samples met the criteria of a good pavement design but with poor landfill material. Pearson's correlation coefficient revealed that a strong relationship between $${I}_{geo}$$

I

geo

-PLI, $${I}_{geo}$$

I

geo

-RI, PLI-RI, TSR-Fines, MDD-CBR, LL-MDD, and LL-CBR exists among the multi-pollution indices, the geotechnical properties of soil, and the resistivity distribution of the topsoil. This suggests similar levels of heavy metal pollution and a common source of anthropogenic activities throughout the four workshops and provides the link between geotechnical properties and resistivity distribution for future soil management strategies. The exposure of children and adults to multiple heavy metals through inhalation at the four workstations shows no significant non-cancer or cancer risks.
Quantifying the Spatiotemporal Evolution of Radiation Belt Electrons Scattered by Lower Band Chorus Waves: An Integrated Model
Authors: Chen Weixin , Fu Song , Ma Xin , Ni Binbin , Guo Deyu , Zhang Qiongyue , Tong Xiangyuan , Zhao Yibo , Cao Xing , Xiang Zheng , Lei Yuan 
Published: August 2024

AbstractWave particle interactions are very important to understand the intricate evolution of the Earth's radiation belt electrons. Kinetic simulations, in terms of solving the Fokker‐Planck equation based on the quasilinear theory, are usually used to simulate the radiation belt electron dynamic evolution. However, the global wave and plasma density distributions adopted in the kinetic simulations are very difficult to be directly obtained by satellites. Here we present a new model, by integrating the machine learning technique and kinetic simulations, to analyze the spatiotemporal evolution of radiation belt electrons scattered by lower band chorus (LBC). Compared to the observations, our integrated model produces effectively the global distribution of plasmapause location, plasma density, and LBC intensity, and assesses quantitatively the scattering effect driven by LBC waves at different magnetic local times (MLT), L‐shell (the Mcllwain L‐parameter), and time. Incorporating the effect of radiation electron drift, we further use the 2‐D Fokker‐Planck equation to simulate the variations of electron phase space density in different MLT sectors at a fixed L, and find that the integrated model replicates reasonably the multi‐MeV electron acceleration at L = 4.5 during the period from the main phase to the early recovery phase of the storm. Our results demonstrate that such an integrated model, on basis of a combination of the machine learning technique and kinetic simulations, provides valuable means for improved understanding of the global dynamic evolution of the Earth's radiation belt electrons.
Single-cell spatial transcriptomics reveals distinct patterns of dysregulation in non-neuronal and neuronal cells induced by the Trem2R47H Alzheimer’s risk gene mutation
Authors: Johnston Kevin G. , Berackey Bereket T. , Tran Kristine M. , Gelber Alon , Yu Zhaoxia , MacGregor Grant R. , Mukamel Eran A. , Tan Zhiqun , Green Kim N. , Xu Xiangmin 
Published: August 2024

Abstract
The R47H missense mutation of the TREM2 gene is a known risk factor for development of Alzheimer’s Disease. In this study, we analyze the impact of the Trem2
R47H mutation on specific cell types in multiple cortical and subcortical brain regions in the context of wild-type and 5xFAD mouse background. We profile 19 mouse brain sections consisting of wild-type, Trem2
R47H, 5xFAD and Trem2
R47H; 5xFAD genotypes using MERFISH spatial transcriptomics, a technique that enables subcellular profiling of spatial gene expression. Spatial transcriptomics and neuropathology data are analyzed using our custom pipeline to identify plaque and Trem2
R47H-induced transcriptomic dysregulation. We initially analyze cell type-specific transcriptomic alterations induced by plaque proximity. Next, we analyze spatial distributions of disease associated microglia and astrocytes, and how they vary between 5xFAD and Trem2
R47H; 5xFAD mouse models. Finally, we analyze the impact of the Trem2
R47H mutation on neuronal transcriptomes. The Trem2
R47H mutation induces consistent upregulation of Bdnf and Ntrk2 across many cortical excitatory neuron types, independent of amyloid pathology. Spatial investigation of genotype enriched subclusters identified spatially localized neuronal subpopulations reduced in 5xFAD and Trem2
R47H; 5xFAD mice. Overall, our MERFISH spatial transcriptomics analysis identifies glial and neuronal transcriptomic alterations induced independently by 5xFAD and Trem2
R47H mutations, impacting inflammatory responses in microglia and astrocytes, and activity and BDNF signaling in neurons.
Structural basis for linker histone H5–nucleosome binding and chromatin fiber compaction
Authors: Li Wenyan , Hu Jie , Song Feng , Yu Juan , Peng Xin , Zhang Shuming , Wang Lin , Hu Mingli , Liu Jia-Cheng , Wei Yu , Xiao Xue , Li Yan , Li Dongyu , Wang Hui , Zhou Bing-Rui , Dai Linchang , Mou Zongjun , Zhou Min , Zhang Haonan , Zhou Zheng , Zhang Huidong , Bai Yawen , Zhou Jin-Qiu , Li Wei , Li Guohong , Zhu Ping 
Published: August 2024

AbstractThe hierarchical packaging of chromatin fibers plays a critical role in gene regulation. The 30-nm chromatin fibers, a central-level structure bridging nucleosomal arrays to higher-order organizations, function as the first level of transcriptional dormant chromatin. The dynamics of 30-nm chromatin fiber play a crucial role in biological processes related to DNA. Here, we report a 3.6-angstrom resolution cryogenic electron microscopy structure of H5-bound dodecanucleosome, i.e., the chromatin fiber reconstituted in the presence of linker histone H5, which shows a two-start left-handed double helical structure twisted by tetranucleosomal units. An atomic structural model of the H5-bound chromatin fiber, including an intact chromatosome, is built, which provides structural details of the full-length linker histone H5, including its N-terminal domain and an HMG-motif-like C-terminal domain. The chromatosome structure shows that H5 binds the nucleosome off-dyad through a three-contact mode in the chromatin fiber. More importantly, the H5-chromatin structure provides a fine molecular basis for the intra-tetranucleosomal and inter-tetranucleosomal interactions. In addition, we systematically validated the physiological functions and structural characteristics of the tetranucleosomal unit through a series of genetic and genomic studies in Saccharomyces cerevisiae and in vitro biophysical experiments. Furthermore, our structure reveals that multiple structural asymmetries of histone tails confer a polarity to the chromatin fiber. These findings provide structural and mechanistic insights into how a nucleosomal array folds into a higher-order chromatin fiber with a polarity in vitro and in vivo.
SMYD5 is a ribosomal methyltransferase that catalyzes RPL40 lysine methylation to enhance translation output and promote hepatocellular carcinoma
Authors: Miao Bisi , Ge Ling , He Chenxi , Wang Xinghao , Wu Jibo , Li Xiang , Chen Kun , Wan Jinkai , Xing Shenghui , Ren Lingnan , Shi Zhennan , Liu Shengnan , Hu Yajun , Chen Jiajia , Yu Yanyan , Feng Lijian , Flores Natasha M. , Liang Zhihui , Xu Xinyi , Wang Ruoxin , Zhou Jian , Fan Jia , Xiang Bin , Li En , Mao Yuanhui , Cheng Jingdong , Zhao Kehao , Mazur Pawel K. , Cai Jiabin , Lan Fei 
Published: August 2024

AbstractWhile lysine methylation is well-known for regulating gene expression transcriptionally, its implications in translation have been largely uncharted. Trimethylation at lysine 22 (K22me3) on RPL40, a core ribosomal protein located in the GTPase activation center, was first reported 27 years ago. Yet, its methyltransferase and role in translation remain unexplored. Here, we report that SMYD5 has robust in vitro activity toward RPL40 K22 and primarily catalyzes RPL40 K22me3 in cells. The loss of SMYD5 and RPL40 K22me3 leads to reduced translation output and disturbed elongation as evidenced by increased ribosome collisions. SMYD5 and RPL40 K22me3 are upregulated in hepatocellular carcinoma (HCC) and negatively correlated with patient prognosis. Depleting SMYD5 renders HCC cells hypersensitive to mTOR inhibition in both 2D and 3D cultures. Additionally, the loss of SMYD5 markedly inhibits HCC development and growth in both genetically engineered mouse and patient-derived xenograft (PDX) models, with the inhibitory effect in the PDX model further enhanced by concurrent mTOR suppression. Our findings reveal a novel role of the SMYD5 and RPL40 K22me3 axis in translation elongation and highlight the therapeutic potential of targeting SMYD5 in HCC, particularly with concurrent mTOR inhibition. This work also conceptually broadens the understanding of lysine methylation, extending its significance from transcriptional regulation to translational control.