bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ticagrelor was associated with lower fracture risk than clopidogrel in the dual anti-platelet regimen among patients with acute coronary syndrome treated with percutaneous coronary intervention
Authors: Lui D. T. W. , Wong C. H. , Ip A. , Ng A. K. Y. 
Published: September 2023

Abstract
Purpose
Patients with coronary artery disease have increased fracture risks. P2Y12 inhibitors may impact fracture risks. We compared the fracture risks associated with ticagrelor and clopidogrel in dual anti-platelet therapy (DAPT).

Methods
We identified all adults who underwent first-ever percutaneous coronary intervention (PCI) for acute coronary syndrome (ACS) between 2010 and 2017 from a territory-wide PCI registry in Hong Kong. Following 1:1 propensity-score matching for baseline characteristics, patients were followed up till event occurrence, death, or 30 June 2022. Outcomes of interest were major osteoporotic fractures (MOF) identified by validated ICD-9-CM codes. Cox proportional hazards regression was used to compute the hazard ratio (HR) for MOF associated with ticagrelor versus clopidogrel use.

Results
3018 ticagrelor users and 3018 clopidogrel users were identified after propensity-score matching (mean age: 61.4 years; 84.1% men). Upon median follow-up of 6.5 years, 59 ticagrelor users and 119 clopidogrel users sustained MOF (annualized fracture risks: 0.34% and 0.56%, respectively). Ticagrelor use was associated with lower risks of MOF (HR 0.60, 95%CI 0.44–0.83; p = 0.002). Consistent HRs were observed for fractures over vertebrae, hip and upper limbs. Subgroup analyses showed no interaction according to age, sex, presence of diabetes, presence of chronic kidney disease and prior fracture history.

Conclusion
Among adults who underwent first-ever PCI for ACS, ticagrelor use in the DAPT was associated with a lower risk of MOF compared with clopidogrel. Our results support the use of ticagrelor in the DAPT from the perspective of bone health.
EGFA-NAS: a neural architecture search method based on explosion gravitation field algorithm
Authors: Hu Xuemei , Huang Lan , Zeng Jia , Wang Kangping , Wang Yan 
Published: September 2023

AbstractNeural architecture search (NAS) is an extremely complex optimization task. Recently, population-based optimization algorithms, such as evolutionary algorithm, have been adopted as search strategies for designing neural networks automatically. Various population-based NAS methods are promising in searching for high-performance neural architectures. The explosion gravitation field algorithm (EGFA) inspired by the formation process of planets is a novel population-based optimization algorithm with excellent global optimization capability and remarkable efficiency, compared with the classical population-based algorithms, such as GA and PSO. Thus, this paper attempts to develop a more efficient NAS method, called EGFA-NAS, by utilizing the work mechanisms of EGFA, which relaxes the search discrete space to a continuous one and then utilizes EGFA and gradient descent to optimize the weights of the candidate architectures in conjunction. To reduce the computational cost, a training strategy by utilizing the population mechanism of EGFA-NAS is proposed. In addition, a weight inheritance strategy for the new generated dust individuals is proposed during the explosion operation to improve performance and efficiency. The performance of EGFA-NAS is investigated in two typical micro search spaces: NAS-Bench-201 and DARTS, and compared with various kinds of state-of-the-art NAS competitors. The experimental results demonstrate that EGFA-NAS is able to match or outperform the state-of-the-art NAS methods on image classification tasks with remarkable efficiency improvement.
A blockchain authentication scheme for UAV-aided fog computing
Authors: Du Xiaoyu , Tao Song , Yuan Ke , Li Yinyin , Zhou Yi 
Published: September 2023

AbstractUnmanned Aerial Vehicle (UAV) swarms not only expanded the application areas of UAVs but also brought more complex challenges to security. Both the data collected by UAVs and UAVs themselves are easy targets for hackers. Once a hacker has intercepted communication information or hijacked a UAV, it can cause the disclosure of information and even affect the normal flight of the UAV. In terms of authentication, existing research focuses on building peer-to-peer networks through devices that support blockchain deployments at the edge nodes to form blockchain networks. UAVs cannot run blockchains directly, so fog nodes need to be introduced to assist UAVs in achieving authentication. This paper proposes a UAV authentication solution based on the fog node-assisted blockchain. The solution incorporates smart contracts to ensure trust, along with on-chain registration and authentication for UAVs. In the design of this paper, the main use is made of fog nodes at the edge of each block. The fog nodes serve as agents to register and authenticate the UAVs in their area on the blockchain, thus enabling the authentication of UAVs in different fog node areas. In this paper, the analysis of gas consumption yields a total economic benefit cost of about $$\yen $$
¥
12.77, which is negligible for the safety of the UAVs. Meanwhile, the paper compares the computational overheads, and within 10 UAVs, the computational overhead of this scheme is less than 50 ms, which is significantly lower than the other two schemes.
Effects of Artificial Synthetic Speech Control of SNR and Speech Rate on the Intelligibility of Train Station Announcements
Authors: Maruoka Mizuki , Tsujimura Sohei , Asakura Takumi 
Published: September 2023

AbstractAn experimental study on the effect of the speech characteristics of the signal-to-noise ratio (SNR) and speech rate on the intelligibility of announcements at railway stations was conducted using an artificial synthetic voice. Synthesized speech has recently been used in noisy environments both indoors and outdoors, but unlike its use in quiet environments, when the environment is noisy, the intelligibility of announcements may be reduced. For railway station announcements, while natural spoken voices are currently used for multilingual announcements and disaster response broadcasts, deep neural network synthesized voices, which use deep learning, have also been adopted. However, the effect of the acoustic characteristics such as the SNR and speech rate on the intelligibility of reproduced announcements in noisy public spaces such as railway stations has not yet been clarified from a practical viewpoint. In this paper, in order to determine the appropriate SNR and speech rate for synthetic voice announcements in railway stations, auditory impressions of announcements with varying SNR and speech rate were evaluated by participants using a five-point scale. Based on the evaluations, the appropriate conditions for the broadcast of synthetic voice announcements at the ticket gate and on the platform of a station are discussed.
The Impact of Built Environment on the Commuting Distance of Middle/Low-income Tenant Workers in Mega Cities Based on Nonlinear Analysis in Machine Learning
Authors: Shen Lifan , Long Yu , Tian Li , Wang Siqi , Wang Miao 
Published: September 2023

AbstractThe issues of housing and traffic in China's mega cities have become increasingly pressing problems, particularly for middle/low-income tenant workers. These tenants are from less advantaged socioeconomic backgrounds, which has resulted in a significant geographical separation between their workplace and their residence. Although a large number of studies have confirmed that built environment factors have a solid impact on residents’ commuting distance, few studies have investigated the mechanism underlying the nonlinear influence on middle/low-income tenants. This paper aims to provide an in-depth analysis of the key factors and nonlinear influencing mechanism of the built environment on middle/low-income tenant workers’ commuting distance by establishing a gradient-boosting decision tree model, using Beijing as an empirical case. The paper reveals three primary findings: (1) An important nonlinear relationship between the surrounding built environment and peoples’ jobs–housing spatial proximity can be observed for those middle/low-income tenant workers who use slow and public modes of commuting. Specifically, the density of public transport stations, road networks, and workplaces, and the land use mix play a dominant role. (2) A limited effect of built environment factors can be found for the same group of tenant workers who choose cars as their mode of commuting. (3) The differences in self-selected commuting modes have a significant mediating effect on the relationship between the built environment and jobs–housing situation among middle/low-income tenant workers. Given this, effective policy guidance for residents’ travel modes is necessary to optimize the built environment indicators to achieve the best effect. In addition, we should consider giving priority to the matching indicators such as land use mix and resident population density. Another possibility is to strengthen the connection to the public transport stations, which in turn can optimize the walkability in residential environments.
Welcome to the University of life, can I take your order? Investigating Life Experience Degree Offerings in Diploma mills
Authors: Roe Jasper , Perkins Mike 
Published: September 2023

AbstractIn this study, we posit a new category of products provided by diploma mills, which we term Life Experience Degree Offerings (LEDOs). LEDOs uniquely capitalise on the misuse of the principle of Accreditation of Prior Learning (APL) by granting higher education qualifications based on a resume or CV alone. Through a comparative analysis with contract cheating websites, we highlight the key features and persuasive strategies employed by 10 diploma mill websites which provide LEDOs to attract and convince potential clients. We then use corpus linguistics methods by analysing a large corpus of text quantitatively to explore the keywords these websites use to describe their products using a pre-packaged corpus analysis tool (Sketch Engine). Our findings indicate that on providers’ websites, the LEDOs are framed as a tool to achieve greater socioeconomic opportunities, and the quality and appearance of the physical diploma and accompanying documents play a key role in the LEDOs’ value proposition, while references to the acquisition of knowledge and process of learning are absent. Furthermore, LEDOs are typified by the promise of accreditation and verification services, which are the two most common keywords used in the description of LEDOs on diploma mills’ websites. Future research directions are suggested, including examining this phenomenon in non-Western cultural contexts, understanding the users and operators of LEDO websites, and assessing the prevalence of fraudulent credentials obtained from these sites.
A deep learning-based approach for identifying unresolved questions on Stack Exchange Q &A communities through graph-based communication modelling
Authors: Firouzjaei Hassan Abedi 
Published: September 2023

AbstractIn recent years, online question–answer (Q &A) platforms, such as Stack Exchange (SE), have become increasingly popular for information and knowledge sharing. Despite the vast amount of information available on these platforms, many questions remain unresolved. In this work, we aim to address this issue by proposing a novel approach to identify unresolved questions in SE Q &A communities. Our approach utilises the graph structure of communication formed around a question by users to model the communication network surrounding it. We employ a property graph model and graph neural networks (GNNs), which can effectively capture both the structure of communication and the content of messages exchanged among users. By leveraging the power of graph representation and GNNs, our approach can effectively identify unresolved questions in SE communities. Experimental results on the complete historical data from three distinct Q &A communities demonstrate the superiority of our proposed approach over baseline methods that only consider the content of questions. Finally, our work represents a first but important step towards better understanding the factors that can affect questions becoming and remaining unresolved in SE communities.
A Corpus-Based Study of Readers’ Comments on Online News on the Policies Adopted by the Jakarta Governor During the COVID-19 Pandemic
Authors: Yuliawati Susi , Suganda Dadang , Darmayanti Nani 
Published: September 2023

AbstractThe study examined comments posted on political news articles that generated negative criticism driven primarily by the politically polarized views of the readers. The investigation employed lexical and pragmatic analyses to probe a corpus of 882 reader comments posted on the Detiknews website news articles regarding the policies adopted by the Jakarta governor to handle the recent coronavirus disease (COVID-19) outbreak. Based on the corpus, we examined the linguistic expression of negative criticism from word frequency, the speech acts underlying the negative criticism, and the stances of the commenters. The results of the examination revealed that the most frequent words of the criticism comprised nouns, pronouns, and negation lexis. Overall, such terms were used by commenters to intensify the impact of their negative criticism. Meanwhile, the most dominant speech act underlying the criticism is evaluative. In this case, the commenters functioning as judges is also the most dominant role because of the one-to-one relationship between the speech act and the stance-taking role. Such commenters produced negative criticism on the Jakarta governor, driven primarily by their different political views.
Activation of AMPK ameliorates acute severe pancreatitis by suppressing pancreatic acinar cell necroptosis in obese mice models
Authors: Wang Kunlei , Zhao Anbang , Tayier Dilinigeer , Tan Kai , Song Wenjing , Cheng Qian , Li Xinyin , Chen Zhinan , Wei Qifeng , Yuan Yufeng , Yang Zhiyong 
Published: September 2023

AbstractObese people with acute pancreatitis (AP) have an increased risk of developing severe acute pancreatitis (SAP), which prolongs the length of hospital stay and increases mortality. Thus, elucidation of the mechanisms through which SAP occurs in obese individuals will provide clues for possible treatment targets. Differences in early events in obese or lean patients with AP have not been conclusively reported. We selected C57BL/6 mice as lean mice models, ob/ob mice or diet induced obese (DIO) mice as obese mice models and then induced experimental AP in mice via injections of caerulein. There were suppressed p-AMPK expressions in the pancreas of obese mice, compared with same-age lean C57BL/6 mice, which were further reduced in AP mice models. Obese AP mice were treated using AICAR, a direct AMPK agonist, which prevented pancreatic damage and cell death, suppressed pancreatic enzyme levels in serum, reduced the areas of fat saponification in the peritoneal cavity, prevented injury in other organs and decreased mice mortality rate. Further assays showed that AICAR activates p-AMPK to stabilize pro-caspase-8. Pro-caspase-8 enhances RIPK3 degradation, inhibits pancreatic acinar cell necroptosis, and downregulates the release of pancreatic enzymes. Thus, activation of AMPK by AICAR alleviates pancreatic acinar cell necroptosis and converts SAP to mild acute pancreatitis in obese mice.
IGF1R-phosphorylated PYCR1 facilitates ELK4 transcriptional activity and sustains tumor growth under hypoxia
Authors: Zheng Ke , Sha Nannan , Hou Guofang , Leng Zhuyun , Zhao Qin , Zhang Li , He Lingnan , Xu Meidong , Jiang Yuhui , Chen Tao 
Published: September 2023

AbstractThe proline synthesis is importantly involved in tumor growth under hypoxia, while the underlying mechanism remains to be further investigated. Here we show that pyrroline-5-carpoxylate reductase-1 (PYCR1), displaying a constant nuclear localization, is phosphorylated by nuclear IGF1R at Tyrosine 135 under hypoxia; this phosphorylation promotes the binding of PYCR1 to ELK4 and thus PYCR1 recruitment to ELK4-targeted genes promoter. Under hypoxia, ELK4-binding ability and enzymatic activity of PYCR1 are both required for ELK4-Sirt7-mediated transcriptional repression and cell growth maintenance, in which PYCR1-catalyzed NAD+ production stimulates the deacetylation activity of Sirt7 on H3K18ac that restrains genes transcription. Functionally, PYCR1 Tyr-135 phosphorylation exerts supportive effect on tumor growth under hypoxia, and the level of PYCR1 Tyr-135 phosphorylation is associated with malignancy of colorectal cancer (CRC). These data uncover the relationship between the compartmentally metabolic activity of PYCR1 and genes transcription regulation, and highlight the oncogenic role of PYCR1 during CRC development.
Cost-effectiveness requirements for implementing artificial intelligence technology in the Women’s UK Breast Cancer Screening service
Authors: Vargas-Palacios Armando , Sharma Nisha , Sagoo Gurdeep S. 
Published: September 2023

AbstractThe UK NHS Women’s National Breast Screening programme aims to detect breast cancer early. The reference standard approach requires mammograms to be independently double-read by qualified radiology staff. If two readers disagree, arbitration by an independent reader is undertaken. Whilst this process maximises accuracy and minimises recall rates, the procedure is labour-intensive, adding pressure to a system currently facing a workforce crisis. Artificial intelligence technology offers an alternative to human readers. While artificial intelligence has been shown to be non-inferior versus human second readers, the minimum requirements needed (effectiveness, set-up costs, maintenance, etc) for such technology to be cost-effective in the NHS have not been evaluated. We developed a simulation model replicating NHS screening services to evaluate the potential value of the technology. Our results indicate that if non-inferiority is maintained, the use of artificial intelligence technology as a second reader is a viable and potentially cost-effective use of NHS resources.
The RNA m5C modification in R-loops as an off switch of Alt-NHEJ
Authors: Yang Haibo , Lachtara Emily M. , Ran Xiaojuan , Hopkins Jessica , Patel Parasvi S. , Zhu Xueping , Xiao Yao , Phoon Laiyee , Gao Boya , Zou Lee , Lawrence Michael S. , Lan Li 
Published: September 2023

AbstractThe roles of R-loops and RNA modifications in homologous recombination (HR) and other DNA double-stranded break (DSB) repair pathways remain poorly understood. Here, we find that DNA damage-induced RNA methyl-5-cytosine (m5C) modification in R-loops plays a crucial role to regulate PARP1-mediated poly ADP-ribosylation (PARylation) and the choice of DSB repair pathways at sites of R-loops. Through bisulfite sequencing, we discover that the methyltransferase TRDMT1 preferentially generates m5C after DNA damage in R-loops across the genome. In the absence of m5C, R-loops activate PARP1-mediated PARylation both in vitro and in cells. Concurrently, m5C promotes transcription-coupled HR (TC-HR) while suppressing PARP1-dependent alternative non-homologous end joining (Alt-NHEJ), favoring TC-HR over Alt-NHEJ in transcribed regions as the preferred repair pathway. Importantly, simultaneous disruption of both TC-HR and Alt-NHEJ with TRDMT1 and PARP or Polymerase θ inhibitors prevents alternative DSB repair and exhibits synergistic cytotoxic effects on cancer cells, suggesting an effective strategy to exploit genomic instability in cancer therapy.
Phase information is conserved in sparse, synchronous population-rate-codes via phase-to-rate recoding
Authors: Müller-Komorowska Daniel , Kuru Baris , Beck Heinz , Braganza Oliver 
Published: September 2023

AbstractNeural computation is often traced in terms of either rate- or phase-codes. However, most circuit operations will simultaneously affect information across both coding schemes. It remains unclear how phase and rate coded information is transmitted, in the face of continuous modification at consecutive processing stages. Here, we study this question in the entorhinal cortex (EC)- dentate gyrus (DG)- CA3 system using three distinct computational models. We demonstrate that DG feedback inhibition leverages EC phase information to improve rate-coding, a computation we term phase-to-rate recoding. Our results suggest that it i) supports the conservation of phase information within sparse rate-codes and ii) enhances the efficiency of plasticity in downstream CA3 via increased synchrony. Given the ubiquity of both phase-coding and feedback circuits, our results raise the question whether phase-to-rate recoding is a recurring computational motif, which supports the generation of sparse, synchronous population-rate-codes in areas beyond the DG.
Modulation of perovskite degradation with multiple-barrier for light-heat stable perovskite solar cells
Authors: Zhou Jing , Liu Zonghao , Yu Peng , Tong Guoqing , Chen Ruijun , Ono Luis K. , Chen Rui , Wang Haixin , Ren Fumeng , Liu Sanwan , Wang Jianan , Lan Zhigao , Qi Yabing , Chen Wei 
Published: September 2023

AbstractThe long-term stability of perovskite solar cells remains one of the most important challenges for the commercialization of this emerging photovoltaic technology. Here, we adopt a non-noble metal/metal oxide/polymer multiple-barrier to suppress the halide consumption and gaseous perovskite decomposition products release with the chemically inert bismuth electrode and Al2O3/parylene thin-film encapsulation, as well as the tightly closed system created by the multiple-barrier to jointly suppress the degradation of perovskite solar cells, allowing the corresponding decomposition reactions to reach benign equilibria. The resulting encapsulated formamidinium cesium-based perovskite solar cells with multiple-barrier maintain 90% of their initial efficiencies after continuous operation at 45 °C for 5200 h and 93% of their initial efficiency after continuous operation at 75 °C for 1000 h under 1 sun equivalent white-light LED illumination.
PAX4 loss of function increases diabetes risk by altering human pancreatic endocrine cell development
Authors: Lau Hwee Hui , Krentz Nicole A. J. , Abaitua Fernando , Perez-Alcantara Marta , Chan Jun-Wei , Ajeian Jila , Ghosh Soumita , Lee Yunkyeong , Yang Jing , Thaman Swaraj , Champon Benoite , Sun Han , Jha Alokkumar , Hoon Shawn , Tan Nguan Soon , Gardner Daphne Su-Lyn , Kao Shih Ling , Tai E. Shyong , Gloyn Anna L. , Teo Adrian Kee Keong 
Published: September 2023

AbstractThe coding variant (p.Arg192His) in the transcription factorPAX4is associated with an altered risk for type 2 diabetes (T2D) in East Asian populations. In mice,Pax4is essential for beta cell formation but its role on human beta cell development and/or function is unknown. Participants carrying the PAX4 p.His192 allele exhibited decreased pancreatic beta cell function compared to homozygotes for the p.192Arg allele in a cross-sectional study in which we carried out an intravenous glucose tolerance test and an oral glucose tolerance test. In a pedigree of a patient with young onset diabetes, several members carry a newly identified p.Tyr186X allele. In the human beta cell model, EndoC-βH1,PAX4knockdown led to impaired insulin secretion, reduced total insulin content, and altered hormone gene expression. Deletion ofPAX4in human induced pluripotent stem cell (hiPSC)-derived islet-like cells resulted in derepression of alpha cell gene expression. In vitro differentiation of hiPSCs carryingPAX4p.His192 and p.X186 risk alleles exhibited increased polyhormonal endocrine cell formation and reduced insulin content that can be reversed with gene correction. Together, we demonstrate the role of PAX4 in human endocrine cell development, beta cell function, and its contribution to T2D-risk.