bluuebunny/crossref_metadata_2025_split huggingface dataset:
The sound of yawns makes geladas yawn
Authors: Pedruzzi Luca , Francesconi Martina , Palagi Elisabetta , Lemasson Alban 
Published: January 2024

AbstractYawning is undeniably contagious and hard to resist. Interestingly, in our species, even the mere sound of a yawn can trigger this contagious response, especially when the yawner is someone familiar. Together with humans, one other mammal species is known to produce loud and distinct vocalisations while yawning, Theropithecus gelada. Geladas are known for their complex social interactions and rich vocal communication, making them intriguing subjects for studying yawning behaviour. To explore the contagious effect of yawn sounds on geladas, we conducted playback experiments in a zoo-housed colony with animals living in two groups. We exposed them to yawn sounds (Test) or affiliative grunts (Control) produced by males from either their own group or the other one. The results were remarkable, as simply hearing yawn sounds led to yawn contagion in geladas, with multiple responses observed when the yawns came from members of their own group. This finding adds a significant contribution to the research on mimicry and behavioural contagion in primates. Moreover, it raises intriguing questions about the involvement of sensory modalities beyond visual perception in these phenomena.
Gearbox fault diagnosis method based on lightweight channel attention mechanism and transfer learning
Authors: Cheng Xuemin , Dou Shuihai , Du Yanping , Wang Zhaohua 
Published: January 2024

AbstractIn practical engineering, the working conditions of gearbox are complex and variable. In varying working conditions, the performance of intelligent fault diagnosis model is degraded because of limited valid samples and large data distribution differences of gearbox signals. Based on these issues, this research proposes a gearbox fault diagnosis method integrated with lightweight channel attention mechanism, and further realizes the cross-component transfer learning. First, time–frequency distribution of original signals is obtained by wavelet transform. It could intuitively reflect local characteristics of signals. Secondly, based on a local cross-channel interaction strategy, a lightweight efficient channel attention mechanism (LECA) is designed. The kernel size of 1D convolution is affected by channel number and coefficients. Multi-scale feature input is used to retain more detailed features of different dimensions. A lightweight convolutional neural network is constructed. Finally, a transfer learning method is applied to freeze lower structures of the network and fine-tune higher structures of the model using small samples. Through experimental verification, the proposed model could effectively utilize samples. The application of transfer learning could realize accurate and fast fault classification of small samples, and achieve good gearbox fault diagnosis effect under varying working conditions and cross-component conditions.
Environmental aluminum oxide inducing neurodegeneration in human neurovascular unit with immunity
Authors: Xue Yingqi , Tran Minh , Diep Yen N. , Shin Seonghun , Lee Jinkee , Cho Hansang , Kang You Jung 
Published: January 2024

AbstractAluminum oxide nanoparticle (AlNP), a ubiquitous neurotoxin highly enriched in air pollution, is often produced as an inevitable byproduct in the manufacturing of industrial products such as cosmetics and metal materials. Meanwhile, ALNP has emerged as a significant public health concern due to its potential association with neurological diseases. However, the studies about the neurotoxic effects of AlNP are limited, partially due to the lack of physiologically relevant human neurovascular unit with innate immunity (hNVUI). Here, we employed our AlNP-treated hNVUI model to investigate the underlying mechanism of AlNP-driven neurodegeneration. First, we validated the penetration of AlNP across a blood–brain barrier (BBB) compartment and found AlNP-derived endothelial cellular senescence through the p16 and p53/p21 pathways. Our study showed that BBB-penetrating AlNP promoted reactive astrocytes, which produced a significant level of reactive oxygen species (ROS). The astrocytic neurotoxic factors caused neuronal damage, including the synaptic impairment, the accumulation of phosphoric-tau proteins, and even neuronal death. Our study suggests that AlNP could be a potential environmental risk factor of neurological disorders mediated by neuroinflammation.
Research and analysis of energy consumption and energy saving in buildings based on photovoltaic photothermal integration
Authors: Cui Yahan , Zhang Xinyan 
Published: January 2024

AbstractIn order to reduce the energy consumption of buildings, an air source heat pump assisted rooftop photovoltaic-thermal integration system is designed. The installation area of photovoltaic modules and collectors will not only affect the power side, but also affect the thermal side. Therefore, the basic architecture of the photovoltaic photothermal integration system is first established, and then the improved whale algorithm is used to optimize the photovoltaic photothermal integration system with the daily operating cost as the optimization goal. At the same time, the influence of the installation area of the photovoltaic photothermal module on the comprehensive performance of the system is analyzed, and the environmental and economic benefits of the photovoltaic photothermal system are analyzed. The results of the example show that the roof of the building has significant benefits in environmental protection and investment recovery period when the photovoltaic photothermal system with the optimal area ratio is installed on the roof of the building. The solar photovoltaic power generation system can reduce carbon dioxide emissions by 147.11 t within 25 years, and the solar collector system can save 170.5 thousand yuan in 1 year. It has achieved the purpose of saving energy, reducing carbon dioxide emissions and protecting the environment.
An RNA-Seq analysis of coronavirus in the skin of the Pangolin
Authors: Deng Siwei , Tian Xuechen , Belshaw Robert , Zhou Jinfeng , Zhang Siyuan , Yang Yixin , Huang Chang , Chen Weikang , Qiu Hailu , Choo Siew Woh 
Published: January 2024

AbstractProtection of the Critically Endangered East Asian Pangolin species is hampered by the vulnerability of captive individuals to infection. Studies have previously shown the pangolin to have a unique pseudogenisation of many immunity genes (including IFNE, IFIH1, cGAS, STING, TLR5, and TLR11), and we suspected that these losses could account for this vulnerability. Here we used RNA-Seq data to show the effect of these gene losses on the transcriptional response to a viral skin infection in a deceased pangolin. This virus is very closely related to the one causing the current COVID-19 pandemic in the human population (SARS-CoV2), and we found the most upregulated pathway was the same one previously identified in the lungs of SARS-CoV2-infected humans. As predicted, we found that the pathways downstream of the lost genes were not upregulated. For example, the pseudogenised interferon epsilon (IFNE) is known to be particularly important in epithelial immunity, and we show that interferon-related responses were not upregulated in the infected pangolin skin. We suggest that the pangolin’s innate gene pseudogenisation is indeed likely to be responsible for the animal’s vulnerability to infection.
Forensic analytical aspects of homemade explosives containing grocery powders and hydrogen peroxide
Authors: Otłowski Tomasz , Zalas Maciej , Gierczyk Błażej 
Published: January 2024

AbstractHomemade explosives become a significant challenge for forensic scientists and investigators. In addition to well-known materials such as acetone peroxide trimer, black powder, or lead azides, perpetrators often produce more exotic and less recognized Homemade Explosives (HMEs). Mixtures of hydrogen peroxide with liquid fuels are widely acknowledged as powerful explosives. Interestingly, similar explosive properties are found in mixtures of numerous solid materials with H2O2. Notably, powdered groceries, such as coffee, tea, grounded spices, and flour, are particularly interesting to pyrotechnics enthusiasts due to their easy production using accessible precursors, which do not attract the attention of security agencies. H2O2-based HMEs may become a dangerous component of improvised explosive devices for terrorists and ordinary offenders. For the four most powerful mixtures—HMEs based on coffee, tea, paprika, and turmeric—molecular markers useful for identification using the GC–MS technique have been proposed. Furthermore, the observed time-dependent changes in mixtures of H2O2 with these food products were studied and evaluated as a potential method for assessing the age of the evidence and reconstructing timelines of crimes. The paper also discusses the usefulness of FT-IR spectroscopy for identifying H2O2-based HMEs.
Study conical pick cutting performance and fatigue life in breaking rock plate process with numerical simulation
Authors: Wang Mingyan 
Published: January 2024

AbstractThe fatigue life and cutting performance of conical pick is essential for the roadheader machine in the excavation engineering. In rock breaking process, the rock structural conditions has a certain influence on the rock breaking and rock damage with roadheader breaking rock. Established the simulation model of conical pick cutting jointed rock to investigate the influence of the rock joint, rock bedding and confining pressure on the cutting performance and fatigue life of conical pick and rock damage. And the MATLAB is applied to solve the difficulty of rock damage statistical analysis. The research results indicated that the cutting force decreases with the rock joint length increasing, the cutting force increases first and decreases with the rock bedding angle increasing, however, the cutting force decreases first and then increases with the confining pressure increasing. The rock damage has a great relationship with the rock joint, rock bedding and confining pressure. The rock damage increases first and decreases then with the rock joint increasing and the rock bedding angle increasing. However, the influence of confining pressure on rock damage is contrary. Meanwhile, the rock fracture volume is positively correlated with damage value. The research results indicated that the rock structural parameters have an obvious influence on conical pick cutting performance and rock damage.
Magnetic circuit design for the performance experiment of shear yield stress enhanced by compression of magnetorheological fluids
Authors: Bi Cheng , Bi Erda , Wang Hongyun , Deng Chunlin , Chen Huixin , Wang Yun 
Published: January 2024

AbstractThe shear yield stress is an important parameter for the industrial application of magnetorheological (MR) fluids. A test equipment was designed and built to perform investigations on the behaviours of compression and shear after squeeze of MR fluids. Mathematical expression of magnetic flux density was further established. Furthermore, the magnetic field distribution of the test device based on two-coil mode and single-coil mode was simulated and compared using finite element analysis(ANSYS/Multiphysics). An experimental test system was fabricated and modified based on the final conditions and simulation results. The compression and shear after squeeze performances of MR fluids were tested. The results showed that a smaller initial gap distance or a larger compressive strain corresponds to a larger compressive stress under the same external magnetic field strength. The shear yield stress after the squeeze of MR fluids increases quickly with the increasing compression stress and the increasing magnetic flux density. This test equipment was thought to be suitable for studying the compression and shear after squeeze performances of MR fluids.
A disulfidptosis-related lncRNAs signature in hepatocellular carcinoma: prognostic prediction, tumor immune microenvironment and drug susceptibility
Authors: Liu Yanqiong , Meng Jiyu , Ruan Xuelian , Wei Fangyi , Zhang Fuyong , Qin Xue 
Published: January 2024

AbstractDisulfidptosis, a novel type of programmed cell death, has attracted researchers’ attention worldwide. However, the role of disulfidptosis-related lncRNAs (DRLs) in liver hepatocellular carcinoma (LIHC) not yet been studied. We aimed to establish and validate a prognostic signature of DRLs and analyze tumor microenvironment (TME) and drug susceptibility in LIHC patients. RNA sequencing data, mutation data, and clinical data were obtained from the Cancer Genome Atlas Database (TCGA). Lasso algorithm and cox regression analysis were performed to identify a prognostic DRLs signature. Kaplan–Meier curves, principal component analysis (PCA), nomogram and calibration curve, function enrichment, TME, immune dysfunction and exclusion (TIDE), tumor mutation burden (TMB), and drug sensitivity analyses were analyzed. External datasets were used to validate the predictive value of DRLs. qRT-PCR was also used to validate the differential expression of the target lncRNAs in tissue samples and cell lines. We established a prognostic signature for the DRLs (MKLN1-AS and TMCC1-AS1) in LIHC. The signature could divide the LIHC patients into low- and high-risk groups, with the high-risk subgroup associated with a worse prognosis. We observed discrepancies in tumor-infiltrating immune cells, immune function, function enrichment, and TIDE between two risk groups. LIHC patients in the high-risk group were more sensitive to several chemotherapeutic drugs. External datasets, clinical tissue, and cell lines confirmed the expression of MKLN1-AS and TMCC1-AS1 were upregulated in LIHC and associated with a worse prognosis. The novel signature based on the two DRLs provide new insight into LIHC prognostic prediction, TME, and potential therapeutic strategies.
Product of mobility and lifetime of charge carriers in CdTe determined from low-frequency current fluctuations
Authors: Toušek J. , Toušková J. , Křivka I. 
Published: January 2024

AbstractThe model, which clarifies the low-frequency fluctuations of the current flowing in CdTe sample, makes it possible to determine the product of the mobility and lifetime of the charges in mentioned semiconductor. This model, with general validity for semiconductors, is based on the interaction of shallow traps with the valence or conduction band. As a result of the action of these centers, current fluctuations appear, the mean amplitude of which increases linearly with the inverse value of the frequency. It was found that the slope of this dependence is proportional to the product of mobility µ and a constant which is common to all shallow traps and which is denoted by the symbol a. The lifetime of charges located on shallow traps varies according to the relationship τ = a/f and for fmin it acquires a maximum value of τmax, which agrees with the stationary lifetime. For the p-CdTe crystalline semiconductor the mobility-lifetime product µpτp = (6.6 ± 0.3) × 10–7 cm2V–1was obtained. Similar study of n-type CdTe showed µnτn = (7.5 ± 0.3) × 10–8 cm2V–1.
Move combinations in the conclusion section of applied linguistics research articles
Authors: Kawase Tomoyuki 
Published: January 2024

Abstract
Genre analyses of research articles (RAs) have identified types of communicative purposes or moves achieved in different sections. However, very few studies have explored why moves are sequenced in specific manners. This study examines how writers relate moves to be coherent in the conclusion section of fifty applied linguistics RAs. The analysis shows that the writers achieved different types of moves in a relational manner for specific rhetorical intentions. The majority presented a summary of the study or previous research trends as background information to guide readers to acknowledge the significance of the study or the findings they later indicated. Some writers drew implications from findings of their studies they presented earlier to demonstrate the usefulness of the findings. Others provided recommendations for future studies based on the limitations of their studies that they indicated earlier to draw readers’ attention away from the limitations as potential weaknesses.
Invariant superoscillatory electromagnetic fields in 3D-space
Authors: Makris K G , Papazoglou D G , Tzortzakis S 
Published: January 2024

Abstract
We derive exact solutions of Maxwell’s equations based on superoscillatory superpositions of vectorial Bessel beams. These novel beams are diffraction-free and can support subwavelength features in their transverse electromagnetic fields, without the presence of any evanescent waves. These features can be propagated into the far field. Approximate solutions in closed form are also derived based on asymptotic expansions of Bessel functions for simple prescribed subwavelength patterns. The superoscillatory characteristics of both electric, magnetic field components (transverse and longitudinal), and the Poynting vector, as well as, the effect of nonparaxiality are systematically investigated.
Acute coronary occlusion with vs. without ST elevation: impact on procedural outcomes and long-term all-cause mortality
Authors: Abusharekh Mohammed , Kampf Jürgen , Dykun Iryna , Souri Kashif , Backmann Viktoria , Al-Rashid Fadi , Jánosi Rolf Alexander , Totzeck Matthias , Lawo Thomas , Rassaf Tienush , Mahabadi Amir Abbas 
Published: January 2024

Abstract

Background
Acute total occlusion (ATO) is diagnosed in a substantial proportion of patients with non-ST-elevation myocardial infarction (NSTEMI). We compared procedural outcomes and long-term mortality in patients with STEMI with NSTEMI with vs. without ATO.

Methods and results
We included patients with acute myocardial infarction (AMI) undergoing invasive coronary angiography between 2004 and 2019 at our centre. Acute total occlusion was defined as thrombolysis in myocardial infarction (TIMI) 0–1 flow in the infarct-related artery or TIMI 2–3 flow with highly elevated peak troponin (&gt;100-folds the upper reference limit). Association between presentation and long-term mortality was evaluated using multivariable adjusted Cox regression analysis. From 2269 AMI patients (mean age 66 ± 13.2 years, 74% male), 664 patients with STEMI and 1605 patients with NSTEMI (471 [29.3%] with ATO) were included. ATO(+)NSTEMI patients had a higher frequency of cardiogenic shock and no reflow than ATO(−)NSTEMI with similar rates compared with STEMI patients (cardiogenic shock: 2.76 vs. 0.27 vs. 2.86%, P &lt; 0.0001, P = 1; no reflow: 4.03 vs. 0.18 vs. 3.17%, P &lt; 0.0001, P = 0.54). ATO(+)NSTEMI and STEMI were associated with 60 and 55% increased incident mortality, respectively, as compared with ATO(−)NSTEMI (ATO(+)NSTEMI: 1.60 [1.27–2.02], P &lt; 0.0001, STEMI: 1.55 [1.24–1.94], P &lt; 0.0001). Likewise, left ventricular ejection fraction (48.5 ± 12.7 vs. 49.1±11 vs. 50.6 ± 11.8%, P = 0.5, P = 0.018) and global longitudinal strain (−15.2 ± –5.74 vs. −15.5 ± –4.84 vs. −16.3 ± –5.30%, P = 0.48, P = 0.016) in ATO(+)NSTEMI were comparable to STEMI but significantly worse than in ATO(−)NSTEMI.

Conclusion
Non-ST-elevation myocardial infarction patients with ATO have unfavourable procedural outcomes, resulting in increased long-term mortality, resembling STEMI. Our findings suggest that the occlusion perspective provides a more appropriate classification of AMI than differentiation into STEMI vs. NSTEMI.
Profiling the compendium of changes in Saccharomyces cerevisiae due to mutations that alter availability of the main methyl donor S-Adenosylmethionine
Authors: Remines McKayla , Schoonover Makailyn G , Knox Zoey , Kenwright Kailee , Hoffert Kellyn M , Coric Amila , Mead James , Ampfer Joseph , Seye Serigne , Strome Erin D 
Published: January 2024

Abstract
The SAM1 and SAM2 genes encode for S-Adenosylmethionine (AdoMet) synthetase enzymes, with AdoMet serving as the main cellular methyl donor. We have previously shown that independent deletion of these genes alters chromosome stability and AdoMet concentrations in opposite ways in Saccharomyces cerevisiae. To characterize other changes occurring in these mutants, we grew wildtype, sam1Δ/sam1Δ, and sam2Δ/sam2Δ strains in 15 different Phenotypic Microarray plates with different components and measured growth variations. RNA-Sequencing was also carried out on these strains and differential gene expression determined for each mutant. We explored how the phenotypic growth differences are linked to the altered gene expression, and hypothesize mechanisms by which loss of the SAM genes and subsequent AdoMet level changes, impact pathways and processes. We present 6 stories, discussing changes in sensitivity or resistance to azoles, cisplatin, oxidative stress, arginine biosynthesis perturbations, DNA synthesis inhibitors, and tamoxifen, to demonstrate the power of this novel methodology to broadly profile changes due to gene mutations. The large number of conditions that result in altered growth, as well as the large number of differentially expressed genes with wide-ranging functionality, speaks to the broad array of impacts that altering methyl donor abundance can impart. Our findings demonstrate that some cellular changes are directly related to AdoMet-dependent methyltransferases and AdoMet availability, some are directly linked to the methyl cycle and its role in production of several important cellular components, and others reveal impacts of SAM gene mutations on previously unconnected pathways.
PlantC2U: deep learning of cross-species sequence landscapes predicts plastid C-to-U RNA editing in plants
Authors: Xu Chaoqun , Li Jing , Song Ling-Yu , Guo Ze-Jun , Song Shi-Wei , Zhang Lu-Dan , Zheng Hai-Lei 
Published: January 2024

Abstract
In plants, C-to-U RNA editing mainly occurs in plastid and mitochondrial transcripts, which contributes to a complex transcriptional regulatory network. More evidence reveals that RNA editing plays critical roles in plant growth and development. However, accurate detection of RNA editing sites using transcriptome sequencing data alone is still challenging. In the present study, we develop PlantC2U, which is a convolutional neural network, to predict plastid C-to-U RNA editing based on the genomic sequence. PlantC2U achieves &gt;95% sensitivity and 99% specificity, which outperforms the PREPACT tool, random forests, and support vector machines. PlantC2U not only further checks RNA editing sites from transcriptome data to reduce possible false positives, but also assesses the effect of different mutations on C-to-U RNA editing based on the flanking sequences. Moreover, we found the patterns of tissue-specific RNA editing in the mangrove plant Kandelia obovata, and observed reduced C-to-U RNA editing rates in the cold stress response of K. obovata, suggesting their potential regulatory roles in plant stress adaptation. In addition, we present RNAeditDB, available online at https://jasonxu.shinyapps.io/RNAeditDB/. Together, PlantC2U and RNAeditDB will help researchers explore the RNA editing events in plants and thus will be of broad utility for the plant research community.