bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anterior N2 enhancement is not a general electrophysiological index of concealed information
Authors: Hsu Chun‐Wei , Schofield Tigan , Ganis Giorgio 
Published: June 2024

AbstractEvent‐related potentials (ERPs) have been used with the concealed information test (CIT) to detect concealed recognition of specific stimuli (i.e., “probes”). While most research has focused on the P300 component, which is larger for infrequent probes than for frequent control stimuli (i.e., “irrelevants”), some studies have investigated an earlier ERP component, the anterior N2, with mixed results. Although some studies have reported a larger anterior N2 for probes than irrelevants (N2 enhancement), other studies, including our own, have not found such an effect. The present study aimed to replicate and extend our previous findings using the same CIT paradigm and measurement parameters. Results of Bayesian analyses show strong evidence against the hypothesis of anterior N2 enhancement by probes, replicating our previous work. Bayesian analyses also show strong evidence against the hypothesis of N2 enhancement for the three components revealed by a temporal principal component analysis (PCA) conducted to disentangle potentially overlapping ERP effects. In conclusion, whereas the CIT has shown promise in detecting recognition of specific information, anterior N2 enhancement cannot be used as an electrophysiological measure of concealed information across CIT paradigms.
Conceptualizing grandiose and vulnerable narcissism as alternative status‐seeking strategies: Insights from hierometer theory
Authors: Mahadevan Nikhila 
Published: June 2024

AbstractTheory and research support a distinction between two forms of narcissism: grandiose and vulnerable. People high in grandiose narcissism are arrogant, extraverted, and authoritative, whereas people high in vulnerable narcissism are insecure, introverted, and diffident. I propose that a useful approach to understanding these two forms of narcissism is to view them through a socio‐evolutionary lens. Guided by evolutionary adaptationist models of rank and, more specifically, by hierometer theory, I put forward a novel theoretical account of both forms of narcissism and examine contemporary research in light of it. Specifically, I conceptualize grandiose and vulnerable narcissism as two alternative status‐seeking strategies. Whereas grandiose narcissism appears to operate as a status‐promoting “hawk” strategy, vulnerable narcissism appears to operate as a status‐protecting “dove” strategy. This parsimonious and functional account of grandiose and vulnerable narcissism sheds light on their similarities and differences, explains disparate and seemingly contradictory findings in the literature, and informs a better understanding of the paradoxical nature of narcissism.
A Deep LSTM-Sliding Window Model for Real-Time Monitoring of Railroad Conditions Using Distributed Acoustic Sensing (DAS)
Authors: Rahman Md Arifur , Jamal Suhaima , Taheri Hossein 
Published: June 2024

Abstract
Ensuring safety remains the paramount concern within railway systems. While extensive research has been conducted on multiple facets of train safety, the ongoing challenge lies in the real-time monitoring and timely detection of defects, including their occurrence, causes, and severity. Optical fiber cable has been proven to sense long-distance condition monitoring by using optical time domain reflectometry (OTDR). Distributed Acoustic Sensing (DAS) uses fiber optic cables along the track to detect any anomaly indicator such as vibration-based defective features. DAS systems can collect data over long distances. DAS became an excellent solution for real-time condition monitoring due to their high-speed data transmission capabilities, sensing certain mechanical and operational properties, such as strain, vibration, temperature, and pressure, which made the optical cables applicable for real-time structural condition monitoring. Conventional monitoring methods need time, physical inspection, scheduling, and higher financial involvement, while a knowledge-based method contains realtime monitoring, analysis, prediction, and classification of any occurrences at any remote distance from the monitoring station. The crack, rock fail, broken fail, flat wheel, rail condition, and track bed condition estimate from the DAS data require massive data analytics with an intelligence interface. Meanwhile, using sliding windows, machine learning, and deep learning tools, a data-driven intelligent method for fault detection has become an ideal technology among researchers. Fault diagnosis methods based on data-driven algorithms can identify failure types at the inspection site and provide a predictive failure plan to the maintenance team, which leads to increased safety, reliability, and profitability, as well as an improvement in the overall implementation of the data-driven predictive algorithms in the fields. This paper explores railway tracks’ structural health and condition monitoring using DAS data extracted from a High Tonnage Loop (HTL)-fiber optic bed In MxV Rail facilities (Pueblo, CO) and applying a Deep Long-Short Term Memory-Sliding Window (DLSTM-SW) model, that achieved a condition detection accuracy higher than 97% with a swift data processing time which led the model to the application of real-time monitoring of the remote condition of railroad. The findings of this article include automatically labeling each of the railroad’s distributed points or locations, defining the condition such as Defective Location (DL), Non-Defective Location (NDL), and Train Position (TP) along the fiber cable length of the railroad. In addition, as DAS generates a huge amount of data, it takes higher time for data processing, filtering, and feature extraction with traditional machine learning or deep learning methods, while the processed DLSTM-SW model takes only a few seconds which makes the model applicable for real-time monitoring.
Fault Detection of a Loose Bolt Connection for Implementation of the DC Series Motor in the Railway Industry by Wavelet
Authors: Yousefnejad Soheil , Gholizadeh Navid 
Published: June 2024

Abstract
DC series motors are widely used in heavy-duty industrial applications due to their exceptional starting torque capabilities. The starting torque requirement for these motors places significant stress on the connection bolts within the motor setup. When these connection bolts become loose, whether due to variations in tension between the motor and the setup, dynamic loads, or inadequate force during installation, it leads to detrimental consequences. Loose bolts adversely affect the motor’s performance, potentially causing damage to the setup and gears, and even failure of the cranking procedure. In light of these concerns, this paper investigates the effect of the DC series motors with loose bolt connections. It aims to demonstrate how insufficient torque applied to the connection bolts adversely affects motor performance. Furthermore, this paper introduces an approach for fault detection using wavelet techniques to identify and address this issue in DC series motors.
Empirical Verification of a Heuristic Radio Propagation Model in a Non-Uniform Subway Tunnel Environment
Authors: Aziminejad Arash , Wu Ashley , Lee Andrew , Epelbaum Gabriel 
Published: June 2024

Abstract
Modern rail and particularly automated train systems utilize train control schemes which rely on continuous onboard-wayside wireless communication in the UHF/SHF frequency bands. The knowledge of radio propagation process and propagation environment are essential for specification, design, installation, and optimization of the cited wireless communication systems. To this end, radio propagation prediction models are applied which are normally characterized by the radio environment as a function of frequency and distance between transmitter and receiver along with electromagnetic characteristics of the propagation environment. These radio propagation models typically predict received power level or path loss profile for specific transmitter and receiver location. A railway tunnel offers a common and complex radio propagation scenario for automated train control applications with strict radio-based data communication subsystem requirements.
In this research, special attention has been given to the case of theoretical modeling of the UHF/SHF radio propagation process inside curved multi-section inhomogeneous tunnels. The theoretical results are compared to the measurement data collected through an extensive field validation campaign conducted in the Toronto Transit Commission (TTC) subway tunnels.
A Hybrid Rail Surface Spot Irregularities (RSSI) Detection Algorithm Based on Onboard Measurements
Authors: Naseri Reza , Gedney Brennan L. , Asgari Hossein , Rizos Dimitris C. 
Published: June 2024

Abstract
Early detection of Rail Surface Spot Irregularities (RSSI), when damage is minor in severity, holds significant advantages for maintenance operations. Minor RSSI can be simply resurfaced, which is far more cost-effective compared to the rail replacement often necessitated by advanced RSSI. This study presents a novel RSSI detection method which consists of a hybrid approach combining Wavelet Packet Analysis (WPA) and the Hilbert-Huang Transform (HHT). This proposed technique capitalizes on the strengths of each method, mitigating their individual limitations and resulting in improved overall performance. The method extracts RSSI locations along a track through analysis of Axle Box Acceleration (ABA) data from an in-service train. The presented algorithm is implemented in a numerically simulated environment that accounts for various levels of background noise contamination in the measurements. The hybrid method successfully identified the locations and dimensions of the localized imperfection on each the surface.
Non-STEM majors COVID-19 vaccine impressions improve, and misconceptions resolve, after podcast assignment
Authors: Morra Christina N. , Adkins Sarah J. , Barnes M. Elizabeth , Pirlo Obadiah J. , Fleming Ryleigh , Convers Bianca J. , Glass Sarah P. , Howell Michael L. , Raut Samiksha A. 
Published: June 2024

ABSTRACT

Misinformation regarding vaccine science decreased the receptiveness to COVID-19 vaccines, exacerbating the negative effects of the COVID-19 pandemic on society. To mitigate the negative societal impact of the COVID-19 pandemic, impactful and creative science communication was needed, yet little research has explored how to encourage COVID-19 vaccine acceptance and address misconceptions held by non-Science, Technology, Engineering and Mathematics majors (referred to as non-majors). We have previously demonstrated that including expert guest lectures in the vaccine module in the non-major introductory biology course helps combat students’ vaccine hesitancy. In the present study, we further address how learning about vaccines impacts student knowledge and impressions of the COVID-19 vaccines through a podcast assignment. As a part of this assignment, non-majors created podcasts to address COVID-19 vaccine misconceptions of their choice. We coded pre and post, open-ended essay reflections (
n
= 40) to assess non-majors’ knowledge and impressions of the COVID-19 vaccines. Non-majors’ impressions of the vaccines improved following the podcast assignment with more than three times as many students reporting a positive view of the assignment than negative views. Notably, eight of the nine interviewed students still ended the course with misconceptions about the COVID-19 vaccines, such as the vaccines being unnecessary or causing fertility issues. In a post semi-structured interview following this assignment, students (
n
= 7) discussed the impact of looking into the specific misconceptions related to COVID-19 vaccines themselves, including improved science communication skills and understanding of different perspectives. Thus, podcasts can provide opportunities for students to improve engagement in valuable societal topics like vaccine literacy in the non-majors classroom.
HPV-18 E6 enhances the interaction between EMILIN2 and SNX27 to promote WNT signaling
Authors: Broniarczyk Justyna , Trejo-Cerro Oscar , Massimi Paola , Kavčič Nežka , Myers Michael P. , Banks Lawrence 
Published: June 2024

ABSTRACT

Oncogenic HPV E6 proteins have a PDZ-binding motif (PBM) which plays important roles in both the viral life cycle and tumor development. The PBM confers interaction with a large number of different PDZ domain-containing substrates, one of which is Sorting Nexin 27. This protein is part of the retromer complex and plays an important role in endocytic sorting pathways. It has been shown that at least two SNX27 interacting partners, GLUT1 and TANC2, are aberrantly trafficked due to the E6 PBM-dependent interaction with SNX27. To investigate further which other components of the endocytic trafficking pathway might be affected by the SNX27-HPV E6 interaction, we analyzed the SNX27 proteome interaction profile in a previously described HeLa cell line expressing GFP-SNX27, both in the presence and absence of the HPV-18 E6 oncoprotein. In this study, we identify a novel interacting partner of SNX27, secreted glycoprotein EMILIN2, whose release is blocked by HPV18 E6 in a PBM-dependent manner. Mechanistically, E6 can block EMILIN2 interaction with the WNT1 ligand, thereby enhancing WNT1 signaling and promoting cell proliferation.

IMPORTANCE
This study demonstrates that HPV E6 blocks EMILIN2 inhibition of WNT1 signaling, thereby enhancing cell proliferation in HPV-positive tumor cells. This involves a novel mechanism whereby the E6 PBM actually contributes toward enhancing the interaction between SNX27 and EMILIN2, suggesting that the mode of recognition of SNX27 by E6 and EMILIN2 is different. This is the first example of the E6 PBM altering a PDZ domain-containing protein to enhance potential substrate recognition.
Unraveling the mechanism of thermotolerance by Set302 in
Cryptococcus neoformans
Authors: Ni Yue , Qiao Yue , Tian Xing , Li Hailong , Meng Yang , Li Chao , Du Wei , Sun Tianshu , Zhu Keting , Huang Wei , Yan He , Li Jia , Zhou Renjie , Ding Chen , Gao Xindi 
Published: June 2024

ABSTRACT

The underlying mechanism of thermotolerance, which is a key virulence factor essential for pathogenic fungi such as
Cryptococcus neoformans
, is largely unexplored. In this study, our findings suggest that Set302, a homolog of Set3 and a subunit of histone deacetylase complex Set3C, contributes to thermotolerance in
C. neoformans
. Specifically, the deletion of the predicted Set3C core subunit, Set302, resulted in further reduction in the growth of
C. neoformans
at 39°C, and survival of transient incubation at 50°C. Transcriptomics analysis revealed that the expression levels of numerous heat stress-responsive genes altered at both 30°C and 39°C due to the lack of Set302. Notably, at 39°C, the absence of Set302 led to the downregulation of gene expression related to the ubiquitin-proteasome system (UPS). Based on the GFP-α-synuclein overexpression model to characterize misfolded proteins, we observed a pronounced accumulation of misfolded GFP-α-synuclein at 39°C, consequently inhibiting
C. neoformans
thermotolerance. Furthermore, the loss of Set302 exacerbated the accumulation of misfolded GFP-α-synuclein during heat stress. Interestingly, the
set302∆
strain exhibited a similar phenotype under proteasome stress as it did at 39°C. Moreover, the absence of Set302 led to reduced production of capsule and melanin.
set302∆
strain also displayed significantly reduced pathogenicity and colonization ability compared to the wild-type strain in the murine infection model. Collectively, our findings suggest that Set302 modulates thermotolerance by affecting the degradation of misfolded proteins and multiple virulence factors to mediate the pathogenicity of
C. neoformans
.

IMPORTANCE

Cryptococcus neoformans
is a pathogenic fungus that poses a potential and significant threat to public health. Thermotolerance plays a crucial role in the wide distribution in natural environments and host colonization of this fungus. Herein, Set302, a critical core subunit for the integrity of histone deacetylase complex Set3C and widely distributed in various fungi and mammals, governs thermotolerance and affects survival at extreme temperatures as well as the formation of capsule and melanin in
C. neoformans
. Additionally, Set302 participates in regulating the expression of multiple genes associated with the ubiquitin-proteasome system (UPS). By eliminating misfolded proteins under heat stress, Set302 significantly contributes to the thermotolerance of
C. neoformans
. Moreover, Set302 regulates the pathogenicity and colonization ability of
C. neoformans
in a murine model. Overall, this study provides new insight into the mechanism of thermotolerance in
C. neoformans
.
Cerebrospinal fluid CXCL13 concentration for diagnosis of neurosyphilis: a systematic review and meta-analysis
Authors: Du Fang-Zhi , Zhang Xu , Zheng Xiao-Li , Zhang Rui-Li , Wang Qian-Qiu 
Published: June 2024

ObjectiveTo systematically assess the diagnostic accuracy of CXCL13 testing of cerebrospinal fluid (CSF) for neurosyphilis diagnosing.DesignSystematic review and meta-analysis.Data sourcesPubMed, Embase, Cochrane Library and Web of Science databases from their inception until 1 May 2023.Eligibility criteriaBoth cross-sectional and case–control diagnostic test studies evaluating the diagnostic value of CSF CXCL13 in diagnosing neurosyphilis were included, with no language restrictions.Data extraction and synthesisTwo researchers extracted data independently from all finally included articles. The updated Quality Assessment of Diagnostic Accuracy Studies tool was used to assess the quality of the included studies. Quantitative synthesis was done using a bivariate random-effects model.ResultsThis meta-analysis included seven eligible studies involving a total of 1152 patients with syphilis and 430 patients with neurosyphilis. The pooled sensitivity, specificity and summary area under the curve (AUC) of CSF CXCL13 testing for the diagnosis of neurosyphilis were 0.76 (95% CI 0.64 to 0.85; I2=82%), 0.83 (95% CI 0.80 to 0.85; I2=32.29%) and 0.84 (95% CI 0.81 to 0.87), respectively. Sensitivity analysis confirmed the stability of the combined results. Meta-regression analysis revealed that the heterogeneity of pooled sensitivity was related to different study regions; subgroup analysis indicated that the diagnostic value of CSF CXCL13 testing reported in studies from China was superior to that reported in non-Chinese studies (pooled sensitivity, specificity and summary AUC values were 0.84(I2=0) vs 0.64 (I2=79.53%), 0.83 (I2=42.03%) vs 0.83 (I2=32.87%) and 0.87 vs 0.83, respectively). The diagnostic value reported in studies with a sample size ≥200, unclassified neurosyphilis and HIV-negative subgroups was superior to the total combined value.ConclusionsThis meta-analysis has demonstrated a reasonable level of accuracy for diagnosis of neurosyphilis with CSF CXCL13 testing. Further multicentre, prospective diagnostic studies, especially in asymptomatic neurosyphilis and HIV-infected patients, are needed to provide more evidence for evaluation before clinical application.PROSPERO registration numberCRD42023414212.
Accuracy of digital measurement for quantitative and qualitative indicators of wound healing and repair: a systematic review protocol
Authors: Kientzy Manon , Bursztejn Anne-Claire , Allaudeen Asiya Parvin , Chenuel Bruno , Hamroun Aghiles , Allado Edem 
Published: June 2024

IntroductionChronic wound care remains a critical public health challenge in terms of prevalence, quality of life and healthcare costs on a global scale. Currently used methods to assess the size and content of wounds include direct contact techniques based on double-layer film, ruler measurements, digital photography and visual examination. Nowadays, despite these evaluations, close monitoring and tracking of these chronic wounds remain a great challenge. The use of telemonitoring through digital measurement tools may offer a potential means of improving healing management processes. Many studies have evaluated the size and content of the wound through digital devices such as mobile phones and computers. However, the clinical accuracy of these tools remains to be clarified. The objective of this systematic review is to assess and consolidate the current state-of-the-art digital devices for both quantitative (length, width, surface area, perimeter, volume and depth) and qualitative (granulation, fibrin, necrosis and slough) indicators of wound care.Methods and analysisWe will include studies using digital measurement methods from databases such as EBSCO, Cochrane Library, MEDLINE, Web of Science and EMBASE, limited to French and English publications until November 15, 2023. Following the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines, selection involves two independent reviewers conducting title and abstract screenings, study selections, data extractions and risk-of-bias assessments using QUADAS-2. Discrepancies will be resolved through discussion or a third reviewer.Ethics and disseminationPrimary data will not be collected in this study; thus, ethical approval will not be required. The study’s findings will be published in a peer-reviewed journal.PROSPERO registration numberCRD42023396642.