bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modal frequencies of bridges from GNSS (GPS) monitoring data: Experimental, statistical evidence
Authors: Stiros Stathis C. , Moschas F. , Triantafyllidis P. 
Published: June 2021

GNSS technology (known especially for GPS satellites) for measurement of deflections has proved very efficient and useful in bridge structural monitoring, even for short stiff bridges, especially after the advent of 100 Hz GNSS sensors. Mode computation from dynamic deflections has been proposed as one of the applications of this technology. Apart from formal modal analyses with GNSS input, and from spectral analysis of controlled free attenuating oscillations, it has been argued that simple spectra of deflections can define more than one modal frequencies. To test this scenario, we analyzed 21 controlled excitation events from a certain bridge monitoring survey, focusing on lateral and vertical deflections, recorded both by GNSS and an accelerometer. These events contain a transient and a following oscillation, and they are preceded and followed by intervals of quiescence and ambient vibrations. Spectra for each event, for the lateral and the vertical axis of the bridge, and for and each instrument (GNSS, accelerometer) were computed, normalized to their maximum value, and printed one over the other, in order to produce a single composite spectrum for each of the four sets. In these four sets, there was also marked the true value of modal frequency, derived from free attenuating oscillations. It was found that for high SNR (signal-to-noise ratio) deflections, spectral peaks in both acceleration and displacement spectra differ by up to 0.3 Hz from the true value. For low SNR, defections spectra do not match the true frequency, but acceleration spectra provide a low-precision estimate of the true frequency. This is because various excitation effects (traffic, wind etc.) contribute with numerous peaks in a wide range of frequencies. Reliable estimates of modal frequencies can hence be derived from deflections spectra only if excitation frequencies (mostly traffic and wind) can be filtered along with most measurement noise, on the basis of additional data.
ANALYSIS OF URBAN SPACE IS THE FIRST STEP FOR FORMING A MODERN CITY
Authors: Zavalniy Oleksandr , Kolosha Maryna 
Published: June 2021

The analysis of the urban space is the first stage in the formation of a systemic understanding and creation of a more comfortable modern city. Historically, “city creation” occurs in accordance with the conditions and principles that exist at the time when the city was formed. Therefore, analyzing the existing structure of urban planning of territories, new parameters and characteristics are introduced, which should fully reflect the quality of urban space for its inhabitants in the current state. The analysis of urban space makes it possible to solve a specific problem or reorganize the urban structure to solve it. Therefore, the search for effective qualitative and quantitative models of analysis of the urban environment is an urgent task today. New methodologies and approaches to urban area analysis are emerging to fully explore this issue. A comprehensive analysis of the urban environment should take place in accordance with the morphology of the city, ie the study of the city through its perception by residents. In the beginning, it is necessary to consider the city as the interaction of its inhabitants with the physical space. The inhabitants of this city define the urban space and its function. This is the main indicator for further analysis and identification of the necessary characteristics in relation to space. The territory needs to be assessed, not only when significant changes are needed in the space for urban needs. A comprehensive analysis of the territory should be carried out with the accepted frequency, because the city is a dynamic system that changes the urban environment every day.
Urban space is a system with multilevel connections that work together with each other, so the approach to a comprehensive assessment of urban space can not be simplified.
THE IMPACT OF BARCODE MEDICATION ADMINISTRATION ON PATIENT SAFETY: A SYSTEMATIC REVIEW
Authors: Aloufi Seham Sahal 
Published: June 2021

Patient safety is considered as an essential feature of healthcare system. Many trials have been conducted in order to find ways to improve patient safety, and many reports indicate that medication errors pose a threat to patient safety.
Thus, some studies have investigated the impact of bar code medication administration (BCMA) system on medication error reduction during the medication administration procedure.
This systematic review (SR) reports the impact of BCMA system on reducing medication errors to improve patient safety; it also compares traditional medication administration with the BCMA system. The review concentrates on the effectiveness of BCMA technology on medication administration errors, and on the accuracy of medication administration. This review also focused on different designs of quantitative studies, as they are more effective at investigating the impact of the intervention than qualitative studies.
The findings from this systematic review show various results depending on the nature of the hospital setting. Most of the studies agree that the BCMA system enhances compliance with the 'five rights’' requirement (right drug, right patient, right dose, right time and right route) of medication administration. In addition, BCMA technology identified medication error types that could not be identified with the traditional approach which is applying the 'five rights' of medication administration. The findings of this systematic review also confirm the impact of BCMA system in reducing medication error, preventing adverse events and increasing the accuracy of the medication administration rate. However, BCMA technology did not consistently reduce the overall errors of medication administration.
Keyword: Patient Safety, Impact, BCMA, eMAR
Teleatendimento Ambulatorial em Cuidados Paliativos Oncológicos: Quebrando Paradigmas e Transformando a Realidade Atual
Authors: Pinto Cristhiane da Silva , Borsatto Alessandra Zanei , Vaz Danielle Copello , Sampaio Simone Garruth dos Santos Machado 
Published: June 2021

O objetivo deste artigo é descrever o processo de implementação do serviço de teleatendimento ambulatorial do HC IV/INCA.
KAJIAN PERWATAKAN TOKOH-TOKOH NOVEL” LAUT BERCERITA” KARYA LEILA S. CHUDORI
Authors: Renita Pebrina , Amrizal Amrizal , Chanafiah Yayah 
Published: June 2021

Tujuan penelitian ini adalah untuk mengetahui perwatakan tokoh-tokoh dalam Novel Laut Bercerita Karya Leila S. Chudori. Penelitian ini menggunakan metode deskriptif kualitatif. Teknik analisis data (a) Peneliti menganalisis unsur-unsur novel Laut Bercerita yang mendukung perwatakan tokoh-tokoh novel Laut Bercerita (b) Peneliti menganalisis perwatakan tokoh-tokoh novel Laut Bercerita karya Laila S.Chudori. Hasil penelitian menunjukkan bahwa data yang memuat unsur-unsur novel Laut Bercerita. Unsur-Unsur tersebut adalah tema, alur, dan latar. Tema dalam novel Laut Bercerita karya Laila S.Chudori adalah legitimasi dan perjuangan melawan masa Orde Baru.Alur dari Novel Laut Bercerita adalah alur maju yang mendeskripsikan pengenalan tokoh, pokok persoalan dan klimaks cerita. Latar cerita novel Laut Bercerita banyak terjadi di Desa, Kampus dan di Sekretariat. Pokok pembahasan dalam penelitian ini adalah Biru Laut dalam novel Laut Bercerita digambarkan pengarang sebagai tokoh yang memiliki watak bersemangat, tidak mudah terpengaruh/teguh pendirian, pendiam, pemalu, penyayang, pemberani, pantang menyerah, dan tenang. Ditinjau dari segi psikologi sastra Sigmund Freud tokoh Biru Laut memiliki id berupa mudah khawatir atau cemas, pendiam. Ego pemalu, penyayang. Super Ego pemberani, tenang, bersemangat dan pantang menyerah
Jack Ellitt as Director: Documentary Films of the 1940s
Authors: Birtwistle Andy 
Published: June 2021

This article examines the work of the film-maker and composer Jack Ellitt (1902–2001) who remains something of an enigmatic and marginal figure in historical accounts of British documentary cinema. Research on Ellitt has so far focused on two key aspects of his life and career: firstly, his association with the New Zealand-born film-maker and artist Len Lye, and secondly, his pioneering work as a composer of electro-acoustic music. However, little research been undertaken on the work that he produced during the three decades he spent working as a documentary director in the British film industry, beginning in the early 1940s and ending with his retirement in the 1970s. He was a member of the remarkable generation of film-makers associated with the British documentary movement, and a composer whose radical experiments with recorded sound might well have secured him a more prominent place in the history of experimental music than is currently the case. Focusing on films made by Ellitt during the 1940s, the primary aim of this article is to offer a chronological appraisal of his early work as documentary director, while also considering what new perspectives this group of films might offer on his earlier creative collaboration with Lye, and the extent to which his radical experiments in electro-acoustic composition may have influenced the use of sound within the films he directed.
Identification of the Signature Associated With m6A RNA Methylation Regulators and m6A-Related Genes and Construction of the Risk Score for Prognostication in Early-Stage Lung Adenocarcinoma
Authors: Guo Bingzhou , Zhang Hongliang , Wang Jinliang , Wu Rilige , Zhang Junyan , Zhang Qiqin , Xu Lu , Shen Ming , Zhang Zhibo , Gu Fangyan , Zeng Weiliang , Jia Xiaodong , Yin Chengliang 
Published: June 2021

BackgroundN6-methyladenosine (m6A) RNA modification is vital for cancers because methylation can alter gene expression and even affect some functional modification. Our study aimed to analyze m6A RNA methylation regulators and m6A-related genes to understand the prognosis of early lung adenocarcinoma.MethodsThe relevant datasets were utilized to analyze 21 m6A RNA methylation regulators and 5,486 m6A-related genes in m6Avar. Univariate Cox regression analysis, random survival forest analysis, Kaplan–Meier analysis, Chi-square analysis, and multivariate cox analysis were carried out on the datasets, and a risk prognostic model based on three feature genes was constructed.ResultsRespectively, we treated GSE31210 (n = 226) as the training set, GSE50081 (n = 128) and TCGA data (n = 400) as the test set. By performing univariable cox regression analysis and random survival forest algorithm in the training group, 218 genes were significant and three prognosis-related genes (ZCRB1, ADH1C, and YTHDC2) were screened out, which could divide LUAD patients into low and high-risk group (P &lt; 0.0001). The predictive efficacy of the model was confirmed in the test group GSE50081 (P = 0.0018) and the TCGA datasets (P = 0.014). Multivariable cox manifested that the three-gene signature was an independent risk factor in LUAD. Furthermore, genes in the signature were also externally validated using the online database. Moreover, YTHDC2 was the important gene in the risk score model and played a vital role in readers of m6A methylation.ConclusionThe findings of this study suggested that associated with m6A RNA methylation regulators and m6A-related genes, the three-gene signature was a reliable prognostic indicator for LUAD patients, indicating a clinical application prospect to serve as a potential therapeutic target.
Thermoelectric Properties of Arsenic Triphosphide (AsP3) Monolayer: A First-Principles Study
Authors: Fan Liangshuang , Yang Hengyu , Xie Guofeng 
Published: June 2021

Recently, monolayer of triphosphides (e.g., InP3, SnP3, and GaP3) attracts much attention due to their good thermoelectric performance. Herein, we predict a novel triphosphide monolayer AsP3 and comprehensively investigate its thermoelectric properties by combining first-principles calculations and semiclassical Boltzmann transport theory. The results show that AsP3 monolayer has an ultralow thermal conductivity of 0.36 and 0.55 Wm K−1 at room temperature along the armchair and zigzag direction. Surprisingly, its maximum Seebeck coefficient in the p-type doping reaches 2,860 µVK−1. Because of the ultralow thermal conductivity and ultrahigh Seebeck coefficient, the thermoelectric performance of AsP3 monolayer is excellent, and the maximum ZT of p-type can reach 3.36 at 500 K along the armchair direction, which is much higher than that of corresponding bulk AsP3 at the same temperature. Our work indicates that the AsP3 monolayer is the promising candidate in TE applications and will also stimulate experimental scientists’ interest in the preparation, characterization, and thermoelectric performance tuning.
Comparison of Intra-Arterial Chemotherapy Efficacy Delivered Through the Ophthalmic Artery or External Carotid Artery in a Cohort of Retinoblastoma Patients
Authors: Jia Shichong , Wen Xuyang , Zhou Min , He Xiaoyu , Han Minglei , Fan Jiayan , Jia Renbing , Fan Xianqun 
Published: June 2021

Purpose: To evaluate the efficacy of an external carotid artery (ECA) alternative route in intra-arterial chemotherapy (IAC) for treatment of retinoblastoma.Methods: In this retrospective, single-centre, case-control study, 98 retinoblastoma patients who received successful IAC were included. The drug delivery routes were the primary ophthalmic artery (OA) route and the ECA route when OA catheterization was not feasible.Results: A total of 337 successful IAC procedures were performed in our study, of which 32 (9.5%) procedures were performed through the ECA route. Eighteen eyes (18.4%) accepted at least one IAC through branches of the ECA. Statistical analysis showed that there was no significant difference in ocular clinical results (enucleation, death, recurrence and event-free) between the ECA and OA routes. No significant association was found between the route of drug delivery and the ocular survival time (p = 0.69). The use of ECA catheterization in at least one IAC cycle was not a predictor of enucleation (HR: 1.58; 95% CI: 0.56–4.46, p = 0.39). The increasing number of procedures through the ECA route did not increase the risk of enucleation (HR: 1.64; 95% CI: 0.42–6.39, p = 0.48).Conclusion: The ECA alternative route did not affect the efficacy of IAC in retinoblastoma. When the standard OA approach is not feasible, ECA system catheterization should be considered.
Local Functional MR Change Pattern and Its Association With Cognitive Function in Objectively-Defined Subtle Cognitive Decline
Authors: Cui Liang , Zhang Zhen , Zac Lo Chun-Yi , Guo Qihao 
Published: June 2021

Introduction: To identify individuals with preclinical cognitive impairment, researchers proposed the concept of objectively-defined subtle cognitive decline (Obj-SCD). However, it is not clear whether Obj-SCD has characteristic brain function changes. In this study, we aimed at exploring the changing pattern of brain function activity in Obj-SCD individuals and the similarities and differences with mild cognitive impairments (MCI).Method: 37 healthy control individuals, 25 Obj-SCD individuals (with the impairment in memory and language domain), and 28 aMCI individuals were included. Resting-state fMRI and neuropsychological tests were performed. fALFF was used to reflect the local functional activity and compared between groups. Finally, we analyzed the correlation between the fALFF values of significantly changed regions and neuropsychological performance.Results: We found similar functional activity enhancements in some local brain regions in the Obj-SCD and aMCI groups, including the left orbital part of the inferior frontal gyrus and the left median cingulate and paracingulate gyri. However, some changes in local functional activities of the Obj-SCD group showed different patterns from the aMCI group. Compared with healthy control (HC), the Obj-SCD group showed increased local functional activity in the right middle occipital gyrus, decreased local functional activity in the left precuneus and the left inferior temporal gyrus. In the Obj-SCD group, in normal band, the fALFF value of the right middle occipital gyrus was significantly negatively correlated with Mini-Mental State Examination (MMSE) score (r = −0.450, p = 0.024) and Animal Verbal Fluency Test (AFT) score (r = −0.402, p = 0.046); the left inferior temporal gyrus was significantly positively correlated with MMSE score (r = 0.588, p = 0.002). In slow-4 band, the fALFF value of the left precuneus was significantly positively correlated with MMSE score (r = 0.468, p = 0.018) and AFT score (r = 0.600, p = 0.002). In the aMCI group, the fALFF value of the left orbital part of the inferior frontal gyrus was significantly positively correlated with Auditory Verbal Learning Test (AVLT) long delay cued recall score (r = 0.506, p = 0.006).Conclusion: The Obj-SCD group showed a unique changing pattern; the functional changes of different brain regions have a close but different correlation with cognitive impairment, indicating that there may be a complex pathological basis inside. This suggests that Obj-SCD may be a separate stage of cognitive decline before aMCI and is helpful to the study of preclinical cognitive decline.
Long Distance From Microvessel to Cancer Cell Predicts Poor Prognosis in Non-Small Cell Lung Cancer Patients
Authors: Ding Haiying , Sun Jiao , Song Yu , Xin Wenxiu , Zhu Junfeng , Zhong Like , Chen Yinbo , Zhang Yiwen , Tong Yinghui , Fang Luo 
Published: June 2021

BackgroundBlood supply, which is crucial for nutrition and drug delivery, was determined by microvessel density as well as the diffusion distance between vessels and cancer cells. Therefore, we evaluated the distance from microvessels to cancer cells (Dmvcc) and its role in the prognosis of non-small cell lung cancer (NSCLC) patients.MethodsPatients with primary NSCLC were retrospectively analyzed. The tumor samples were immunochemically stained with CD31 to visualize the microvessels. The Dmvcc was defined as the mean distance from each microvessel to its nearest cancer cell in the “hot-spot” of an individual patient. The patients were stratified into short- and long-distance groups using five strategies, including dichotomy by the median value, optimal cutoff, trichotomy, quartation and per-10 µm increase. The correlation between the Dmvcc and survival was evaluated by using univariate and multivariate analyses with various Dmvcc strategies.ResultsIn total, 100 patients were analyzed. The median value of Dmvcc was 13.1 μm (ranged, 1.6 to 269.7 μm; mean value, 24.4 ± 33.5 μm). The optimal cutoff value of Dmvcc for predicting survival outcome was 20 μm. Dmvcc was significantly related to overall survival (OS) with all the five categories (p = 0.001–0.000004) and progression-free survival (PFS) categorized by optimal cutoff value (p = 0.024), trichotomy (p = 0.041) and per-10 µm increase (p = 0.040) after adjusting for other factors. Patients with longer Dmvcc (≥20 μm) were observed to have poor survival outcomes (OS: HR = 13.5, 95CI: 4.42–41.18, p = 0.000005; PFS: 3.26, 95CI: 1.56–6.81, p = 0.002). A high Dmvcc per-10 µm was associated with a significantly increased risk of cancer-related death and progression by 98% (p = 0.0001) and 30% (p = 0.044), respectively.ConclusionThe NSCLC tissues had varying distances from microvessels to cancer cells, and long distances were strongly associated with poor survival.
Deep Learning on Enhanced CT Images Can Predict the Muscular Invasiveness of Bladder Cancer
Authors: Zhang Gumuyang , Wu Zhe , Xu Lili , Zhang Xiaoxiao , Zhang Daming , Mao Li , Li Xiuli , Xiao Yu , Guo Jun , Ji Zhigang , Sun Hao , Jin Zhengyu 
Published: June 2021

BackgroundClinical treatment decision making of bladder cancer (BCa) relies on the absence or presence of muscle invasion and tumor staging. Deep learning (DL) is a novel technique in image analysis, but its potential for evaluating the muscular invasiveness of bladder cancer remains unclear. The purpose of this study was to develop and validate a DL model based on computed tomography (CT) images for prediction of muscle-invasive status of BCa.MethodsA total of 441 BCa patients were retrospectively enrolled from two centers and were divided into development (n=183), tuning (n=110), internal validation (n=73) and external validation (n=75) cohorts. The model was built based on nephrographic phase images of preoperative CT urography. Receiver operating characteristic (ROC) curves were performed and the area under the ROC curve (AUC) for discrimination between muscle-invasive BCa and non-muscle-invasive BCa was calculated. The performance of the model was evaluated and compared with that of the subjective assessment by two radiologists.ResultsThe DL model exhibited relatively good performance in all cohorts [AUC: 0.861 in the internal validation cohort, 0.791 in the external validation cohort] and outperformed the two radiologists. The model yielded a sensitivity of 0.733, a specificity of 0.810 in the internal validation cohort and a sensitivity of 0.710 and a specificity of 0.773 in the external validation cohort.ConclusionThe proposed DL model based on CT images exhibited relatively good prediction ability of muscle-invasive status of BCa preoperatively, which may improve individual treatment of BCa.
Treatment of Advanced-Stage Large Cell Neuroendocrine Cancer (LCNEC) of the Lung: A Tale of Two Diseases
Authors: Atieh Tahani , Huang Chao H. 
Published: June 2021

LCNEC of the lung comprises a small proportion of pulmonary malignancies. Traditionally, they have been classified based on histologic and immunohistochemistry characteristics with features of small cell and non-small cell lung cancer. The treatment outcome of advanced-stage LCNEC of the lung is poor with response rates ranging from 34 to 46% with platinum doublets, median progression-free survival (mPFS) ranging between 4.4 and 5.8 m, and median overall survival (mOS) ranging from 8 to 12.6 m. The optimal treatment strategy for LCNEC is debated given limited data and different outcomes based on chemotherapy type reported in the available literature. Recently, genomic profiling with Next Generation Sequencing (NGS) has been able to sub-classify LCNEC as SCLC-like or NSCLC-like. Treatment based on this sub-classification has improved outcomes by using SCLC and NSCLC regimens based on their genomic profile in retrospective analysis. Future studies in LCNEC of the lung should incorporate this new molecular sub-classification as stratification and possibly include SCLC-like LCNEC into SCLC studies and NSCLC-like into NSCLC studies.