bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bayesian learning for the robust verification of autonomous robots
Authors: Zhao Xingyu , Gerasimou Simos , Calinescu Radu , Imrie Calum , Robu Valentin , Flynn David 
Published: January 2024

AbstractAutonomous robots used in infrastructure inspection, space exploration and other critical missions operate in highly dynamic environments. As such, they must continually verify their ability to complete the tasks associated with these missions safely and effectively. Here we present a Bayesian learning framework that enables this runtime verification of autonomous robots. The framework uses prior knowledge and observations of the verified robot to learn expected ranges for the occurrence rates of regular and singular (e.g., catastrophic failure) events. Interval continuous-time Markov models defined using these ranges are then analysed to obtain expected intervals of variation for system properties such as mission duration and success probability. We apply the framework to an autonomous robotic mission for underwater infrastructure inspection and repair. The formal proofs and experiments presented in the paper show that our framework produces results that reflect the uncertainty intrinsic to many real-world systems, enabling the robust verification of their quantitative properties under parametric uncertainty.
Theoretical insights into the intercalation mechanism of Li, Na, and Mg ions in a metallic BN/VS2 heterostructure
Authors: Luo Lingxiao , Tan Shuangshuang , Gao Zhipeng , Yang Xiaofang , Xu Junyao , Huang Guangsheng , Wang Jingfeng , Pan Fusheng 
Published: January 2024

Two-dimensional BN/VS2 heterostructure is constructed as an anode material for investigating the inserted mechanism of Li, Na and Mg ions, in which the V atom in VS2 is the main redox center, while the BN layer enables high structural stability.
Multi‐hop joint remote state preparation of general hybrid entangled multi‐qudit states via distinct Einstein‐Podolsky‐Rosen channels
Authors: Li Zongyi , Wei Yuzhen , Jiang Min 
Published: January 2024

AbstractJoint Remote State Preparation provides a useful way to securely transfer the known quantum states to the distant nodes. However, the limitation of resources often leads to the quantum channels constructed by distributed entangled pairs being incompatible with the transmitted states. In order to overcome this problem, a novel Joint Remote State Preparation protocol was proposed for transmitting general multi‐qudit states over quantum networks, providing a promising pathway to utilise the available Einstein‐Podolsky‐Rosen (EPR) channels with different levels. Several scenarios under noisy environments were discussed and some properties of the fidelity when transmitting the multi‐qudit state were demonstrated. It was demonstrated that both the prepared state and the kind of the noises could restrict the number of the participant nodes. Our scheme leverages the existing quantum resources, which addresses the issue of insufficient entanglement resources. This approach is easily adaptable to other quantum network structures, offering a potential solution for constructing a universal quantum network.
Generalised covariance intersection‐Gamma Gaussian Inverse Wishart‐Poisson multi‐Bernoulli Mixture: An intelligent multiple extended target tracking scheme for mobile aquaculture sensor networks
Authors: Lv Chunfeng , Zhu Jianping , Peng Zhiguang 
Published: January 2024

AbstractPoisson multi‐Bernoulli Mixture (PMBM) filter has been known as an available or practical point and multiple extended target tracking (METT) method. The authors present an improved PMBM filter with adaptive detection probability and adaptive newborn distributions, accompanying with an associated distributed fusion strategy for the tracking extended multiple targets. First, the augmented state of unknown and changing target detection probability is assumed as Gamma (GAM) distribution. Second, extended states are described by Inverse Wishart (IW) distribution based on this augmented state, accompanying with dynamic states presented by Gaussian distribution. And then, an adaptive newborn distribution is adopted to describe the newborn targets appearing arbitrarily. Consequently, the closed‐form solutions of the proposed filter can be derived by approximating the intensity of newborn and potential targets to the Gamma Gaussian Inverse Wishart (GGIW) form. Moreover, the fused means that Generalised Covariance Intersection (GCI) is performed in such a large‐scale aquaculture sensor network. Experiments are presented to verify the availability of the GCI‐GGIW‐PMBM method, and comparisons with other METT filters also demonstrate that tracking behaviours are improved largely.
The cataclysmic variable orbital period gap: More evident than ever
Authors: Schreiber Matthias R. , Belloni Diogo , Schwope Axel D. 
Published: January 2024

Context.Recently, large and homogeneous samples of cataclysmic variables identified by the Sloan Digital Sky Survey (SDSS) were published. In these samples, the famous orbital period gap, which is a dearth of systems in the orbital period range ∼2 − 3 h and the defining feature of most evolutionary models for cataclysmic variables, has been claimed not to be clearly present. If true, this finding would completely change our picture of cataclysmic variable evolution.Aims.In this Letter we focus on potential differences with respect to the orbital period gap between cataclysmic variables in which the magnetic field of the white dwarf is strong enough to connect with that of the donor star, so-called polars, and non-polar cataclysmic variables as the white dwarf magnetic field in polars has been predicted to reduce the strength of angular momentum loss through magnetic braking.Methods.We separated the SDSS I–IV sample of cataclysmic variables into polars and non-polar systems and performed statistical tests to evaluate whether the period distributions are bimodal as predicted by the standard model for cataclysmic variable evolution or not. We also compared the SDSS I–IV period distribution of non-polars to that of other samples of cataclysmic variables.Results.We confirm the existence of a period gap in the SDSS I–IV sample of non-polar cataclysmic variables with > 98% confidence. The boundaries of the orbital period gap are 147 and 191 min, with the lower boundary being different to previously published values (129 min). The orbital period distribution of polars from SDSS I–IV is clearly different and does not show a similar period gap.Conclusions.The SDSS samples as well as previous samples of cataclysmic variables are consistent with the standard theory of cataclysmic variable evolution. Magnetic braking does indeed seem get disrupted around the fully convective boundary, which causes a detached phase during cataclysmic variable evolution. In polars, the white dwarf magnetic field reduces the strength of magnetic braking and consequently the orbital period distribution of polars does not display an equally profound and extended period gap as non-polars. It remains unclear why the breaking rates derived from the rotation of single stars in open clusters favour prescriptions that are unable to explain the orbital period distribution of cataclysmic variables.
Comparative Diagnostic Accuracy of Computed Tomography Scan versus Magnetic Resonance Imaging in the Emergency Department for the Evaluation of Dizziness: A Systematic Review
Authors: Ashiq Ishfaq Nabeel , Khan Safeer , Yousaf Adil 
Published: January 2024

Abstract
Introduction Both computed tomography (CT) and magnetic resonance imaging (MRI) play significant roles in assessing patients with dizziness. However, understanding the comparative capabilities of these imaging methods in detecting pathological causes is crucial for determining the most suitable modality. This review aims to evaluate the diagnostic accuracy and clinical utility of MRI and CT scans in managing patients with acute dizziness in the emergency department.
Methods Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a comprehensive search in various databases (PubMed, Google Scholar, Cochrane library, British Medical Journals, and ScienceDirect) from 2010 to 2023. We used the QUADAS-2 tool to assess bias risk, considering MRI as the reference standard and CT scan as the index test.
Results The final analysis included six studies, with 3,993 patients (48% male, 52% female; average age: 56.7 years). Three studies were of high quality, two of medium quality, and one of low quality. Central ischemia was the predominant diagnosis for dizziness. MRI demonstrated higher diagnostic efficacy for stroke compared with CT scans, while mixed results were observed for other multiple diseases when both MRI and CT scans were used.
Conclusion MRI outperforms CT scans in diagnosing dizziness-related strokes. However, for other causes of dizziness, there is no significant difference between these techniques. Nevertheless, it is crucial to acknowledge the limitations associated with MRI. Consequently, to address these concerns, the selection of an imaging technique should be tailored to the individual based on factors such as their clinical presentation, comorbidities, and socioeconomic circumstances.
Additional Role of 3D ASL Perfusion in Skull Base Lesions
Authors: Naghath J. Fairoze , Peter S. Babu 
Published: January 2024

Abstract
Background Arterial spin labeling (ASL) perfusion imaging is widely used since its main advantage is that no intravenous contrast is needed. Given that perfusion is a crucial biological characteristic for identifying tumor lesions, the qualitative noncontrast perfusion characteristics of these lesions were examined.
Aim We attempted utilizing the three-dimensional (3D) ASL technique to characterize skull base lesions and to highlight its crucial role in differentiating lesions.
Methods and Material 3D ASL imaging of 20 patients with posterior skull base lesions was performed in a 3-T magnetic resonance (MR) system (Siemens Healthineers, Skyra, Erlangen, Germany). The common differential diagnoses of skull base lesions could be distinguished based on this qualitative evaluation.
Results and Conclusions Glomus tumor has a strikingly increased perfusion when compared to meningiomas. The perfusion characteristics of metastasis depends on the primary tumor. Chondrosarcomas have a heterogeneously increased perfusion. Chordomas have variable perfusion, which helps in prognosticating the tumors. ASL benefits pediatric patients and in renal failure as well since it avoids the ethical ambiguity associated with contrast agents.
Demand for 5G from residential customers in Germany: a quantitative online survey using the Van Westendorp method
Authors: Ebert Jasmin , Winzer Peter 
Published: January 2024

AbstractTo investigate the demand for 5G in Germany, we applied the Van Westendorp Method (VWM) to measure willingness to pay (WTP) and price sensitivity (N = 504). The results show that more than half already own a 5G smartphone and these customers are less price sensitive. The accepted price range for the monthly 5G surcharge ranges between 10.00 and 15.40 Euros. Two thirds want more transparency in 5G pricing, while price is the most crucial factor (4.2/5.0), followed by data volume (4.1/5.0) and network operator/coverage (4.0/5.0). The results are particularly interesting for providers as the target group for 5G is quite diverse.
Risk management strategy for supply chain sustainability and resilience capability
Authors: Han Neungho , Um Juneho 
Published: January 2024

AbstractSupply chain sustainability-related risks that have an undesirable environmental, social and economic impact result in global supply chain uncertainty and complexity. This paper investigates the relationships between supply chain sustainability risks, global uncertainty and mitigating strategies to attain supply chain resilience capability. The paper suggests the supply chain resilience capability and four fundamental risk-mitigating strategies to cope with supply chain sustainability risks. Data collected via survey were employed for structural equation modelling and moderation tests to explore appropriate mitigating strategies for differing sustainability risk environments. The results suggest a structural procedure for better supply chain resilience under diverse sustainability risks. Inspired by the literature gap, the study empirically examines how sustainability risks and global uncertainty influence supply chain resilience and provides the most effective risk management strategies among accept, avoid, control, share/transfer according to different sustainability risks. There is a lack of empirical research investigating how to address the supply chain sustainability risk through the provision of effective mitigating strategies for better supply chain resilience capability. The results provide insight for future research in supply chain resilience and sustainability studies.
Organizational justice perception and employees’ social loafing in the context of the COVID-19 epidemic: the mediating role of organizational commitment
Authors: Chen Chong , Wang Beibei , An Hongfei , Luo Min 
Published: January 2024

AbstractAs the cornerstone of enterprises, employees have played a pivotal role in navigating the challenges posed by the COVID-19 pandemic and ensuring the survival and growth of businesses. The global wave of unemployment triggered by the pandemic has given rise to innovative work engagements, including remote work and employee sharing. This shift prompts employees to reconsider their relationship with the organization, the extent of their collaboration, and their commitment to sustaining the enterprise’s viability and development. Amidst the diverse performance level of employees, the question arises: will they redouble their efforts to showcase their value or succumb to a state of inertia? Additionally, the outbreak of the COVID-19 epidemic has brought about adverse impacts, making enterprises think about how to inhibit employees’ social loafing, stimulate their enthusiasm, and to rely on collective strength to overcome the crisis. During the pandemic, uncertainty of the work environment was elevated, and the factors influecing employees’ social loafing, perception of organizational justice, and organizational commitment became more significant. Based on the social exchange theory, this paper conducts research on how employees’ perception of organizational justice level weakens their social loafing and incorporates organizational commitment into the research framework in order to explore new presentations of relationships between these variables in the context of the epidemic. Through the data analysis of 276 questionnaires, the study found that: (1) the organizational justice has a negative impact on the social loafing of employees; (2) the organizational commitment plays a complete mediating role between the organizational justice and employees’ social loafing.
SPANN: annotating single-cell resolution spatial transcriptome data with scRNA-seq data
Authors: Yuan Musu , Wan Hui , Wang Zihao , Guo Qirui , Deng Minghua 
Published: January 2024

Abstract

Motivation
The rapid development of spatial transcriptome technologies has enabled researchers to acquire single-cell-level spatial data at an affordable price. However, computational analysis tools, such as annotation tools, tailored for these data are still lacking. Recently, many computational frameworks have emerged to integrate single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics datasets. While some frameworks can utilize well-annotated scRNA-seq data to annotate spatial expression patterns, they overlook critical aspects. First, existing tools do not explicitly consider cell type mapping when aligning the two modalities. Second, current frameworks lack the capability to detect novel cells, which remains a key interest for biologists.

Results
To address these problems, we propose an annotation method for spatial transcriptome data called SPANN. The main tasks of SPANN are to transfer cell-type labels from well-annotated scRNA-seq data to newly generated single-cell resolution spatial transcriptome data and discover novel cells from spatial data. The major innovations of SPANN come from two aspects: SPANN automatically detects novel cells from unseen cell types while maintaining high annotation accuracy over known cell types. SPANN finds a mapping between spatial transcriptome samples and RNA data prototypes and thus conducts cell-type-level alignment. Comprehensive experiments using datasets from various spatial platforms demonstrate SPANN’s capabilities in annotating known cell types and discovering novel cell states within complex tissue contexts.

Availability
The source code of SPANN can be accessed at https://github.com/ddb-qiwang/SPANN-torch.

Contact
dengmh@math.pku.edu.cn.
Identification, characterization and expression analysis of circRNA encoded by SARS-CoV-1 and SARS-CoV-2
Authors: Niu Mengting , Wang Chunyu , Chen Yaojia , Zou Quan , Xu Lei 
Published: January 2024

Abstract
Virus-encoded circular RNA (circRNA) participates in the immune response to viral infection, affects the human immune system, and can be used as a target for precision therapy and tumor biomarker. The coronaviruses SARS-CoV-1 and SARS-CoV-2 (SARS-CoV-1/2) that have emerged in recent years are highly contagious and have high mortality rates. In coronaviruses, little is known about the circRNA encoded by the SARS-CoV-1/2. Therefore, this study explores whether SARS-CoV-1/2 encodes circRNA and characteristics and functions of circRNA. Based on RNA-seq data of SARS-CoV-1 and SARS-CoV-2 infections, we used circRNA identification tools (circRNA_finder, find_circ and CIRI2) to identify circRNAs. The number of circRNAs encoded by SARS-CoV-1 and SARS-CoV-2 was identified as 151 and 470, respectively. It can be found that SARS-CoV-2 shows more prominent circRNA encoding ability than SARS-CoV-1. Expression analysis showed that only a few circRNAs encoded by SARS-CoV-1/2 showed high expression levels, and the positive strand produced more abundant circRNAs. Then, based on the identified SARS-CoV-1/2-encoded circRNAs, we performed circRNA identification and characterization using the previously developed CirRNAPL. Finally, target gene prediction and functional enrichment analysis were performed. It was found that viral circRNA is closely related to cancer and has a potential role in regulating host cell functions. This study studied the characteristics and functions of viral circRNA encoded by coronavirus SARS-CoV-1/2, providing a valuable resource for further research on the function and molecular mechanism of coronavirus circRNA.
Benchmarking of computational methods for m6A profiling with Nanopore direct RNA sequencing
Authors: Maestri Simone , Furlan Mattia , Mulroney Logan , Coscujuela Tarrero Lucia , Ugolini Camilla , Dalla Pozza Fabio , Leonardi Tommaso , Birney Ewan , Nicassio Francesco , Pelizzola Mattia 
Published: January 2024

Abstract
N6-methyladenosine (m6A) is the most abundant internal eukaryotic mRNA modification, and is involved in the regulation of various biological processes. Direct Nanopore sequencing of native RNA (dRNA-seq) emerged as a leading approach for its identification. Several software were published for m6A detection and there is a strong need for independent studies benchmarking their performance on data from different species, and against various reference datasets. Moreover, a computational workflow is needed to streamline the execution of tools whose installation and execution remains complicated. We developed NanOlympicsMod, a Nextflow pipeline exploiting containerized technology for comparing 14 tools for m6A detection on dRNA-seq data. NanOlympicsMod was tested on dRNA-seq data generated from in vitro (un)modified synthetic oligos. The m6A hits returned by each tool were compared to the m6A position known by design of the oligos. In addition, NanOlympicsMod was used on dRNA-seq datasets from wild-type and m6A-depleted yeast, mouse and human, and each tool’s hits were compared to reference m6A sets generated by leading orthogonal methods. The performance of the tools markedly differed across datasets, and methods adopting different approaches showed different preferences in terms of precision and recall. Changing the stringency cut-offs allowed for tuning the precision-recall trade-off towards user preferences. Finally, we determined that precision and recall of tools are markedly influenced by sequencing depth, and that additional sequencing would likely reveal additional m6A sites. Thanks to the possibility of including novel tools, NanOlympicsMod will streamline the benchmarking of m6A detection tools on dRNA-seq data, improving future RNA modification characterization.
Revolutionizing immune research with organoid-based co-culture and chip systems
Authors: Papp Diana , Korcsmaros Tamas , Hautefort Isabelle 
Published: January 2024

Summary
The intertwined interactions various immune cells have with epithelial cells in our body require sophisticated experimental approaches to be studied. Due to the limitations of immortalized cell lines and animal models, there is an increasing demand for human in vitro model systems to investigate the microenvironment of immune cells in normal and in pathological conditions. Organoids, which are self-renewing, 3D cellular structures that are derived from stem cells, have started to provide gap-filling tissue modelling solutions. In this review, we first demonstrate with some of the available examples how organoid-based immune cell co-culture experiments can advance disease modelling of cancer, inflammatory bowel disease, and tissue regeneration. Then, we argue that to achieve both complexity and scale, organ-on-chip models combined with cutting-edge microfluidics-based technologies can provide more precise manipulation and readouts. Finally, we discuss how genome editing techniques and the use of patient-derived organoids and immune cells can improve disease modelling and facilitate precision medicine. To achieve maximum impact and efficiency, these efforts should be supported by novel infrastructures such as organoid biobanks, organoid facilities, as well as drug screening and host-microbe interaction testing platforms. All these together or in combination can allow researchers to shed more detailed, and often patient-specific, light on the crosstalk between immune cells and epithelial cells in health and disease.