bluuebunny/crossref_metadata_2025_split huggingface dataset:
Python toolbox for android GNSS raw data to RINEX conversion
Authors: Hernández Olcina Jorge , Anquela Julián Ana B. , Martín Furones Ángel E. 
Published: March 2024

AbstractGlobal navigation satellite system (GNSS) data collected from Android devices have gained increasing importance in various applications, ranging from geospatial positioning to environmental monitoring. However, the lack of standardized tools for converting Android GNSS raw data into receiver independent exchange (RINEX) format poses a significant challenge for researchers and practitioners. In response to this need, we present a comprehensive Python toolbox designed to streamline the conversion process and enhance the usability of Android GNSS data. The proposed toolbox leverages Python’s versatility to provide a user-friendly interface for converting Android GNSS raw data into the widely adopted RINEX format. Key features include robust data parsing algorithms, support for multiple GNSS constellations, and compatibility with diverse Android device configurations. Furthermore, the toolbox’s open-source nature encourages community collaboration and allows for continual improvement and adaptation to emerging GNSS technologies. We anticipate that this Python toolbox will serve as a valuable resource for researchers and practitioners working with Android GNSS data, facilitating standardized data interchange and promoting reproducibility in GNSS-based studies.
First tarsometatarsal joint mobility in hallux valgus during gait: A synchronized ultrasound and three-dimensional motion capture analysis
Authors: Tashiro Tsubasa , Ikuta Yasunari , Maeda Noriaki , Arima Satoshi , Morikawa Masanori , Kaneda Kazuki , Ishihara Honoka , Tsutsumi Shogo , Kawai Miki , Brand Andreas , Nakasa Tomoyuki , Adachi Nobuo , Komiya Makoto , Urabe Yukio 
Published: March 2024

Abstract
Purpose
To quantify the vertical translation between the first metatarsal and medial cuneiform during the stance phase of gait in young individuals with and without hallux valgus.

Design
This cross-sectional observational study included 34 young adults (male, n = 4; female, n = 30) who were divided into three groups according to the hallux valgus angle: control (< 20°, n = 13), mild hallux valgus (≥ 20° to < 30°, n = 12), and moderate hallux valgus (≥ 30°, n = 9). The mobility of the first tarsometatarsal joint was evaluated during the stance phase using B-mode ultrasound synchronized with a motion analysis system.

Results
The medial cuneiform shifted more plantar during the early phase in mild hallux valgus and during the middle and terminal phases in moderate hallux valgus than in control. The severity of the hallux valgus was correlated with a trend toward plantar shift of the medial cuneiform. The first metatarsal was located more dorsal than the medial cuneiform; however, there was no significant variation. No significant differences in the peak ankle plantarflexion angle and moment were noted between the groups.

Conclusion
The hypermobility of the first tarsometatarsal joint, especially plantar displacement of the medial cuneiform in the sagittal plane, was found in young individuals with hallux valgus during the stance phase of gait, and the mobility increased with the severity of hallux valgus. Our findings suggest the significance of preventing hallux valgus deformity early in life.
Nuclear moments: recent developments
Authors: Stone Nicholas J. 
Published: March 2024

AbstractThe author has for many years kept a watching brief on the experimental study of nuclear electro-magnetic moments. Accurate values of nuclear magnetic dipole and electric quadrupole moments are a major product and the life blood of hyperfine interaction studies and their manifold applications. This paper outlines recent changes in the type of moment measurements being undertaken and the effect of modern complex electronic configuration computation on the extracted moment values.
Power Optimization in Wireless Sensor Network Using VLSI Technique on FPGA Platform
Authors: Leelakrishnan Saranya , Chakrapani Arvind 
Published: March 2024

AbstractNowadays, the demand for high-performance wireless sensor networks (WSN) is increasing, and its power requirement has threatened the survival of WSN. The routing methods cannot optimize power consumption. To improve the power consumption, VLSI based power optimization technology is proposed in this article. Different elements in WSN, such as sensor nodes, modulation schemes, and package data transmission, influence energy usage. Following a WSN power study, it was discovered that lowering the energy usage of sensor networks is critical in WSN. In this manuscript, a power optimization model for wireless sensor networks (POM-WSN) is proposed. The proposed system shows how to build and execute a power-saving strategy for WSNs using a customized collaborative unit with parallel processing capabilities on FPGA (Field Programmable Gate Array) and a smart power component. The customizable cooperation unit focuses on applying specialized hardware to customize Operating System speed and transfer it to a soft intel core. This device decreases the OS (Operating System) central processing unit (CPU) overhead associated with installing processor-based IoT (Internet of Things) devices. The smart power unit controls the soft CPU’s clock and physical peripherals, putting them in the right state depending on the hardware requirements of the program (tasks) being executed. Furthermore, by taking the command signal from a collaborative custom unit, it is necessary to adjust the amplitude and current. The efficiency and energy usage of the FPGA-based energy saver approach for sensor nodes are compared to the energy usage of processor-based WSN nodes implementations. Using FPGA programmable architecture, the research seeks to build effective power-saving approaches for WSNs.
A preliminary investigation on enabling digital twin technology for operations and maintenance of urban underground infrastructure
Authors: Cheng Xi , Wang Chen , Liang Fayun , Wang Haofen , Yu Xiong Bill 
Published: March 2024

AbstractUnderground infrastructure plays a kind of crucial role in modern production and living, especially in big cities where the ground space has been fully utilized. In the context of recent advancements in digital technology, the demand for the application of digital twin technology in underground infrastructure has become increasingly urgent as well. However, the interaction and co-integration between underground engineering entities and virtual models remain relatively limited, primarily due to the unique nature of underground engineering data and the constraints imposed by the development of information technology. This research focuses on underground engineering infrastructure and provides an overview of the application of novel information technologies. Furthermore, a comprehensive framework for digital twin implementation, which encompasses five dimensions and combines emerging technologies, has been proposed. It thereby expands the horizons of the intersection between underground engineering and digital twins. Additionally, a practical project in Wenzhou serves as a case study, where a comprehensive database covering the project’s entire life cycle has been established. The physical model is visualized, endowed with functional implications and data analysis capabilities, and integrated with the visualization platform to enable dynamic operation and maintenance management of the project.
CIM-WV: A 2D semantic segmentation dataset of rich window view contents in high-rise, high-density Hong Kong based on photorealistic city information models
Authors: Li Maosu , Yeh Anthony G. O. , Xue Fan 
Published: March 2024

Abstract
Large-scale assessment of window views is demanded for precise housing valuation and quantified evidence for improving the built environment, especially in high-rise, high-density cities. However, the absence of a semantic segmentation dataset of window views forbids an accurate pixel-level assessment. This paper presents a City Information Model (CIM)-generated Window View (CIM-WV) dataset comprising 2,000 annotated images collected in the high-rise, high-density urban areas of Hong Kong. The CIM-WV includes seven semantic labels, i.e., building, sky, vegetation, road, waterbody, vehicle, and terrain. Experimental results of training a well-known deep learning (DL) model, DeepLab V3+ , on CIM-WV, achieved a high performance (per-class Intersection over Union (IoU) ≥ 86.23%) on segmenting major landscape elements, i.e., building, sky, vegetation, and waterbody, and consistently outperformed the transfer learning on a popular real-world street view dataset, Cityscapes. The DeepLab V3+ model trained on CIM-WV was robust (mIoU ≥ 72.09%) in Hong Kong Island and Kowloon Peninsula, and enhanced the semantic segmentation accuracy of real-world and Google Earth CIM-generated window view images. The contribution of this paper is three-fold. CIM-WV is the first public CIM-generated photorealistic window view dataset with rich semantics. Secondly, comparative analysis shows a more accurate window view assessment using DL from CIM-WV than deep transfer learning from ground-level views. Last, for urban researchers and practitioners, our publicly accessible DL models trained on CIM-WV enable novel multi-source window view-based urban applications including precise real estate valuation, improvement of built environment, and window view-related urban analytics.
Effects of straw returning on photochemical process and imidacloprid degradation in paddy water through a field experiment
Authors: Li Mabo , Zeng Yu , Fu Qinglong , Zhang Mingyang , Chen Ning , Wang Yujun , Zhou Dongmei , Fang Guodong 
Published: March 2024

AbstractStraw returning is an important strategy for effectively using straw resources to improve soil fertility and quality, but the effects of this process on reactive intermediates (RIs) formation in paddy water are not fully explored. In this study, we conducted a field experiment to explore the effects of straw returning on RIs formation including triplet chromophoric dissolved organic matter (3CDOM*), hydroxyl radicals (•OH), and singlet oxygen (1O2) in paddy water. It was found that straw returning considerably increased the steady-state concentration of RIs, and the application of rice straw with 25% and 75% organic replacement ratio increased RIs concentration by 2.52 and 2.25 times, respectively. The optical spectroscopy, Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) analysis and structural equation model showed that straw returning produces abundant humified and aromatic DOM containing fulvic acid, lignin and protein-like substances, which could induce more RIs under irradiation. In addition, straw returning significantly accelerated imidacloprid (IMD) degradation, yielding degradation products that were highly toxic to aquatic animals (i.e., fish and daphnia) but less toxic to aquatic plants (i.e., green algae). This study would offer an innovative viewpoint on the effects of straw returning on the photochemistry of paddy water and the naturally occurring abiotic degradation pathway of organic contaminants.
Thomist Libertarianism is Committed to Mysterianism
Authors: Babakhanian Armand 
Published: March 2024

Abstract
In recent years, a large amount of scholarship has been written about St Thomas Aquinas’s views on free will and determinism. This paper is an attempt to bring some Thomist views of libertarian free will into dialogue with analytic philosopher Peter van Inwagen and his ‘mysterianism’ about free will. The thesis of this paper is that Thomist libertarians about free will are committed to Peter van Inwagen’s mysterianism about free will. The paper intends to accomplish this aim by showing how recent accounts of Thomist libertarianism cannot defeat the intuitive strength of van Inwagen’s ‘Replay argument’. The significance of this conclusion is that some Thomists are committed to mysterianism and that mysterianism is a legitimate position a Thomist can hold. This also provides evidence that the Thomist tradition can grow and be nourished by engagement with contemporary analytic philosophy.
Contrasting Recording Efficiency of Chemical Versus Depositional Remanent Magnetization in Sediments
Authors: Roud Sophie C. , Gilder Stuart A. 
Published: March 2024

AbstractHow and when sedimentary rocks record Earth's magnetic field is complex. Most studies assume a time‐progressive lock‐in mechanism during sediment deposition called depositional remanent magnetization (DRM). However, magnetic minerals can also form in situ, recording a chemical remanent magnetization (CRM) that is discontinuous in time. Disentangling the two mechanisms represents a major hurdle, and differences in their recording efficiencies remain unexplored. Here, our theoretical solutions demonstrate that CRM intensities exceed DRM by a factor of six when acquired in the same magnetic field. Novel experiments growing greigite (Fe3S4) in sediments and subsequent redeposition under identical magnetic field conditions confirm the predicted difference in recording efficiency. Thus, if left unrecognized, CRM leads to overestimated paleointensity and deserves more attention when interpreting Earth's magnetic history from sedimentary records. Recognition of fundamental differences between CRM and DRM characteristics provide a way forward to distinguish the recording mechanisms through routine laboratory protocols.
The contribution of low Apgar scores in identifying neonates with short-term morbidities in a large single center cohort
Authors: Huang Samuel , Yitayew Miheret , Rozycki Henry J. 
Published: March 2024

Abstract
Objective
To evaluate the association and utility of low 1- and 5-min Apgar scores to identify short-term morbidities in a large newborn cohort.

Methods
15,542 infants >22 weeks gestation from a single center were included. Clinical data and low Apgar scores were analyzed for significance to ten short-term outcomes and were used to construct Receiver Operating Characteristic Curves and the AUC calculated for ten outcomes.

Results
A low Apgar score related to all (1-min) or most (5-min) outcomes by univariate and multivariate logistic regression analysis. Including any of the 4 low Apgar scores only improved the clinical factor AUC by 0.9% ± 2.7% (±SD) and was significant in just 5 of the 40 score/outcome scenarios.

Conclusion
The contribution of a low Apgar score for identifying risk of short-term morbidity does not appear to be clinically significant.
Exome sequencing and genome-wide association analyses unveils the genetic predisposition in hydroxychloroquine retinopathy
Authors: Chiu Hsun-I , Cheng Hui-Chen , Wu Chih-Chiau , Chen Shih-Jen , Hwang De-Kuang , Huang Yi-Ming , Chou Yu-Bai , Lin Po-Kang , Lin Tai-Chi , Chen Ko-Hua , Lin Pei-Yu , Chang Yu-Fan , Wang An-Guor 
Published: March 2024

Abstract
Objectives
To unveil the candidate susceptibility genes in chloroquine/hydroxychloroquine (CQ/HCQ) retinopathy using whole exome sequencing (WES) and genome-wide association study (GWAS).

Methods
Patients with a diagnosis of CQ/HCQ retinopathy based on the comprehensive demographic and ocular examination were included. The peripheral blood was extracted for WES and GWAS analyses. The Chinese Han Southern database from 1000 genomes was used as control group to compare the affected percentage. Multivariate logistic regression analysis adjusted for age, HCQ dose, duration and renal disease were used to analyze the correlation between genetic variants and visual outcome. A poor vision outcome was defined as visual acuity <6/12. An abnormal anatomical outcome was defined as disruption of ellipsoid zone in the fovea.

Results
Twenty-nine patients with an average age of 60.9 ± 13.4 years, treatment duration of 12.1 ± 6.2 years, daily dose of 8.5 ± 4.1 mg/kg, and the cumulative dose of 1637.5 ± 772.5 g, were genotyped. Several candidate genes associated with CQ/HCQ retinopathy were found, including RP1L1, RPGR and RPE65, with a difference of affected percentage over 50% in mutation between the case and control groups. New foci in CCDC66: rs56616026 (OR = 63.43, p = 1.63 × 10−8) and rs56616023 (OR = 104.7, p = 5.02 × 10-10) were identified significantly associated with HCQ retinopathy. Multivariate analysis revealed increased genetic variants were significantly associated with poor functional (OR = 1.600, p = 0.004) and structural outcome (OR = 1.318, p = 0.043).

Conclusions
Several candidate susceptibility genes including RP1L1, RPGR, RPE65 and CCDC66 were identified to be associated with CQ/HCQ retinopathy. In addition to disease susceptibility, patients with increased genetic variants are more vulnerable to poor visual outcomes.
shinyMBA: a novel R shiny application for quality control of the multiplex bead assay for serosurveillance studies
Authors: Matson Zachary , Cooley Gretchen , Parameswaran Nishanth , Simon Ashley , Bankamp Bettina , Coughlin Melissa M. 
Published: March 2024

AbstractThe multiplex bead assay (MBA) based on Luminex xMAP technology can be used as a tool to measure seroprevalence as part of population immunity evaluations to multiple antigens in large-scale serosurveys. However, multiplexing several antigens presents challenges for quality control (QC) assessments of the data because multiple parameters must be evaluated for each antigen. MBA QC parameters include monitoring bead counts and median fluorescence intensity (MFI) for each antigen in plate wells, and performance of assay controls included on each plate. Analyzing these large datasets to identify plates failing QC standards presents challenges for many laboratories. We developed a novel R Shiny application, shinyMBA, to expedite the MBA QC processes and reduce the risk of user error. The app allows users to rapidly merge multi-plate assay outputs to evaluate bead count, MFI, and performance of assay controls using statistical process control charts for all antigen targets simultaneously. The utility of the shinyMBA application and its various outputs are demonstrated using data from 32 synthetic xPONENT files with 3 multiplex antigens and two population serosurveillance studies that evaluated 1200 and 3871 samples, respectively, for 20 multiplexed antigens. The shinyMBA open-source code is available for download and modification athttps://github.com/CDCgov/shinyMBA. Incorporation of shinyMBA into Luminex serosurveillance workflows can vastly improve the speed and accuracy of QC processes.
Effect of endoscopic therapy and drug therapy on prognosis and rebleeding in patients with esophagogastric variceal bleeding
Authors: Jiang Jing-jing , Gao Chun , Mao Jun-feng , Yang Guo-yuan , Huang Jun , Yu Xiao-hui , Tan Yong , Zhang Jiu-cong , Zheng Xiao-feng 
Published: March 2024

AbstractEsophagogastric variceal bleeding (EVB) is one of the common digestive system emergencies with poor prognosis and high rate of rebleeding after treatment. To explore the effects of endoscopic therapy and drug therapy on the prognosis and rebleeding of patients with EVB, and then select better treatment methods to effectively improve the prognosis. From January 2013 to December 2022, 965 patients with EVB who were hospitalized in gastroenterology Department of the 940 Hospital of Joint Logistic Support Forces of PLA were retrospectively analyzed. Patients were divided into endoscopic treatment group (ET, n = 586) and drug treatment group (DT, n = 379). Propensity score matching (PSM) analysis was performed in both groups, and the general information, efficacy and length of hospital stay were recorded. The patients were followed up for 3 months after bleeding control to determine whether rebleeding occurred. There were 286 cases in each group after PSM. Compared with DT group, ET had higher treatment success rate (P < 0.001), lower rebleeding rate (P < 0.001), lower mortality rate within 3 months, and no significant difference in total hospital stay (P > 0.05). Compared with drug therapy, endoscopic treatment of EVB has short-term efficacy advantages, and can effectively reduce the incidence of rebleeding and mortality within 3 months.
Self-reported perceptions of ethical and professional expectations of medical students in China and the influence of voluntary work during the COVID-19: a survey on “Five Characteristics”
Authors: Shen Hui , Wu Hongyu , Zhang Ning , Zhang Yuchen , Wu Zhengyang , Cheng Beiping , Wang Minao , Liu Xuefei 
Published: March 2024

AbstractIn the post-pandemic era, there is a need for medical professionals with creativity, clinical expertise, and social responsibility. The Chinese government issued a directive to enhance the “Five Characteristics” perceptions of medical students, incorporating moral integrity and adeptness in saving lives and aiding the injured, embracing a compassionate approach to medical practice, possessing the knowledge essential for academic distinction, mastering technical expertise, and the artistry of applying scientific methodologies. The purpose of this study was to investigate the opinions related to ethics and professional behaviors of medical students at one Chinese medical school using a validated 19-item survey instrument and analyze its influencing factors. We conducted a survey in a medical university in Anhui Province, China, and collected 1966 valid questionnaires using the “Five Characteristics Rating Scale”. The results indicated high perceptions of “Five Characteristics” among Chinese medical students (85.42 ± 8.727). Lower-grade-year medical students (86.59 ± 7.888) had higher “Five Characteristics” perceptions than upper-grade-year medical students (84.29 ± 9.327, P < 0.05). In addition, medical students experiencing voluntary work during the COVID-19 pandemic showed higher perceptions (86.21 ± 8.357) than those without such experience (85.13 ± 8.842, P < 0.05). Grade year and voluntary work experience during the COVID-19 pandemic were influencing factors of “Five Characteristics” perceptions. Our research offers a theoretical foundation for governments and medical schools to cultivate doctors with high ethical standards and professional expectations.
Boosted unsupervised feature selection for tumor gene expression profiles
Authors: Shi Yifan , Yang Kaixiang , Wang Mengzhi , Yu Zhiwen , Zeng Huanqiang , Hu Yang 
Published: March 2024

AbstractIn an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples. Besides, it is difficult for these methods to guide the feature selection process by multiple feature subspaces comprehensively. In order to address these problems, a boosted unsupervised feature selection method (BoostUFS) is proposed for tumour gene expression profiles. Specifically, the authors design a boosting scheme to sequentially learn multiple compressed feature subspaces by focusing on ambiguous samples. The uncertainty of samples and the confidence of feature subspaces can be evaluated adaptively by minimising the overall loss of feature subspaces learning. Furthermore, we provide a consensus objective function with L2,1‐norm regularisation to combine these weighted feature subspaces and select discriminative features. Extensive experiments on several real‐world datasets of tumour gene expression profiles are carried out to demonstrate the effectiveness of the proposed method.