bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of alternative splicing signature in lung squamous cell carcinoma
Authors: Yan Jia-qing , Liu Min , Ma Ying-lin , Le Kai-di , Dong Bin , Li Guo-hui 
Published: March 2021

AbstractIncreasing evidence demonstrated that alternative splicing (AS) plays a vital role in tumorigenesis and clinical outcome of patient. However, systematical analysis of AS in lung squamous cell carcinoma (LUSC) is lacking and greatly necessary. Thus, this study was to systematically estimate the function of AS events served as prognostic indicators in LUSC. Among 31,345 mRNA AS events in 9633 genes, we detected 1996 AS in 1409 genes which have significant connection with overall survival (OS) of LUSC patients. Then, prognostic model based on seven types of AS events was established and we further constructed a combined prognostic model. The Kaplan–Meier curve results suggested that seven types of AS signatures and the combined prognostic model could exhibit robust performance in predicting prognosis. Patients in the high-risk group had significantly shorter OS than those in the low-risk group. The ROC showed all prognostic models had high accuracy and powerful predictive performance with different AUC ranging from 0.837 to 0.978. Moreover, the combined prognostic model had highest performance in risk stratification and predictive accuracy than single prognostic models and had higher accuracy than other mRNA model. Finally, a significant correlation network between survival-related AS genes and prognostic splicing factors (SFs) was established. In conclusion, our study provided several potential prognostic AS models and constructed splicing network between AS and SFs in LUSC, which could be used as potential indicators and treatment targets for LUSC patients.
Lymph Node Status and Long-Term Oncologic Outcomes After Colon Resection in Locally Advanced Colon Cancer
Authors: Sahakyan Artur M. , Aleksanyan Andranik , Batikyan Hovhannes , Petrosyan Hmayak , Sahakyan Mushegh А. 
Published: March 2021

AbstractLocally advanced colon cancer is associated with poor prognosis. The aim of this report was to examine the association between the lymph node status and prognosis of locally advanced colon cancer. Perioperative and oncologic outcomes were studied in patients who had undergone colectomy for colon cancer between June 2004 and December 2018. Locally advanced colon cancer was defined as stage T4a/T4b cancer. The long-term oncologic results were investigated in patients with non-metastatic locally advanced colon cancer. Of 195 patients operated for locally advanced colon cancer, 83 (42.6%), 43 (22.1%), and 69 (35.3%) had pN0, pN1, and pN2 disease, respectively. Preoperative serum levels of CEA and CA 19-9, as well as incidence of distant metastases were significantly higher in patients with pN2 compared to those with pN0 and pN1. In non-metastatic setting, a trend towards higher incidence of recurrence was observed in node-positive patients. Nodal stage was a significant predictor for survival in the univariable analysis but non-significant after adjusting for confounders. Subgroup analyses among the patients with T4a and T4b cancer did not demonstrate any association between the nodal stage and survival. Preoperative CA 19-9 > 37 U/ml and adjuvant chemotherapy were the only prognostic factors in T4a and T4b colon cancer, respectively. Although a trend towards higher incidence of recurrence was observed in node-positive locally advanced colon cancer, nodal stage was not associated with survival. Adjuvant chemotherapy should be strongly considered in T4b stage colon cancer.
To be or not to be local: a provenance study of archaeological ceramics from Shahr-i Sokhta, eastern Iran
Authors: Eftekhari Negar , Holakooei Parviz , Marrocchino Elena , Vaccaro Carmela 
Published: March 2021

AbstractFindings from the archaeological site of Shahr-i Sokhta in eastern Iran include a wide range of undecorated, monochrome, and polychrome ceramics with gray, red, and buff-colored bodies that date back to a period spanning from 3200 to 1800 B.C.E. Given the large number and variety of ceramics unearthed from Shahr-i Sokhta, the provenance of these wares has remained a subject of controversy. Based on compositional data obtained from quantitative wavelength dispersive X-ray fluorescence (WDXRF) spectroscopy studies and petrographic observations, findings from this study provide information that can be used to determine whether the ceramics from Shahr-i Sokhta were manufactured locally or were imported from elsewhere. We show here that the chemical components of a large group of ceramics with gray, red, and buff-colored bodies are similar to those found in local clay sources and kiln wasters, suggesting local production of these wares. However, one group of red and gray-colored wares demonstrated entirely different chemistry, suggesting a different origin. In support of the quantitative WDXRF data, petrofabric analysis of the first group of buff, gray, and red wares revealed poorly sorted basaltic clasts similar to those found randomly distributed in the matrix of local clays. By contrast, the non-local gray and red wares exhibited fine-grained clay bodies with sorted distribution of fine-grained quartz within the clay matrix.
Experimental Philosophy of Technology
Authors: Kraaijeveld Steven R. 
Published: March 2021

AbstractExperimental philosophy is a relatively recent discipline that employs experimental methods to investigate the intuitions, concepts, and assumptions behind traditional philosophical arguments, problems, and theories. While experimental philosophy initially served to interrogate the role that intuitions play in philosophy, it has since branched out to bring empirical methods to bear on problems within a variety of traditional areas of philosophy—including metaphysics, philosophy of language, philosophy of mind, and epistemology. To date, no connection has been made between developments in experimental philosophy and philosophy of technology. In this paper, I develop and defend a research program for an experimental philosophy of technology.
Photopolymerization-based additive manufacturing of ceramics: A systematic review
Authors: Rasaki Sefiu Abolaji , Xiong Dingyu , Xiong Shufeng , Su Fang , Idrees Muhammad , Chen Zhangwei 
Published: March 2021

AbstractConversion of inorganic-organic frameworks (ceramic precursors and ceramic-polymer mixtures) into solid mass ceramic structures based on photopolymerization process is currently receiving plentiful attention in the field of additive manufacturing (3D printing). Various techniques (e.g., stereolithography, digital light processing, and two-photon polymerization) that are compatible with this strategy have so far been widely investigated. This is due to their cost-viability, flexibility, and ability to design and manufacture complex geometric structures. Different platforms related to these techniques have been developed too, in order to meet up with modern technology demand. Most relevant to this review are the challenges faced by the researchers in using these 3D printing techniques for the fabrication of ceramic structures. These challenges often range from shape shrinkage, mass loss, poor densification, cracking, weak mechanical performance to undesirable surface roughness of the final ceramic structures. This is due to the brittle nature of ceramic materials. Based on the summary and discussion on the current progress of material-technique correlation available, here we show the significance of material composition and printing processes in addressing these challenges. The use of appropriate solid loading, solvent, and preceramic polymers in forming slurries is suggested as steps in the right direction. Techniques are indicated as another factor playing vital roles and their selection and development are suggested as plausible ways to remove these barriers.
Remote sensing image building detection method based on Mask R-CNN
Authors: Han Qinzhe , Yin Qian , Zheng Xin , Chen Ziyi 
Published: March 2021

AbstractQuickly and conveniently identifying buildings in disaster areas plays an important role in disaster assessment. To achieve the technical requirements of flood disaster relief projects, this paper proposes a building extraction method for use with remote sensing images that combines traditional digital image processing methods and convolution neural networks. First, the threshold segmentation method is used to select and construct a training dataset. Then, a variety of preprocessing methods are used to enhance the selected dataset. Finally, the improved Mask R-CNN algorithm is used to detect buildings in the images. Experiments show that compared to the R-CNN algorithm, the proposed method improves detection accuracy and reduces the computational time.
3D Printed Multi-material Medical Phantoms for Needle-tissue Interaction Modelling of Heterogeneous Structures
Authors: Yin Jun , Li Manqi , Dai Guangli , Zhou Hongzhao , Ma Liang , Zheng Yixiong 
Published: March 2021

AbstractThe fabrication of multi-material medical phantoms with both patient-specificity and realistic mechanical properties is of great importance for the development of surgical planning and medical training. In this work, a 3D multi-material printing system for medical phantom manufacturing was developed. Rigid and elastomeric materials are firstly combined in such application for an accurate tactile feedback. The phantom is designed with multiple layers, where silicone ink, Thermoplastic Polyurethane (TPU), and Acrylonitrile Butadiene Styrene (ABS) were chosen as printing materials for skin, soft tissue, and bone, respectively. Then, the printed phantoms were utilized for the investigation of needle-phantom interaction by needle insertion experiments. The mechanical needle-phantom interaction was characterized by skin-soft tissue interfacial puncture force, puncture depth, and number of insertion force peaks. The experiments demonstrated that the manufacturing conditions, i.e. the silicone grease ratio, interfacial thickness and the infill rate, played effective roles in regulating mechanical needle-phantom interaction. Moreover, the influences of material properties, including interfacial thickness and ultimate stress, on needle-phantom interaction were studied by finite element simulation. Also, a patient-specific forearm phantom was printed, where the anatomical features were acquired from Computed Tomography (CT) data. This study provided a potential manufacturing method for multi-material medical phantoms with tunable mechanical properties and offered guidelines for better phantom design.
Fish Lateral Line Inspired Flow Sensors and Flow-aided Control: A Review
Authors: Zhai Yufan , Zheng Xingwen , Xie Guangming 
Published: March 2021

AbstractAny phenomenon in nature is potential to be an inspiration for us to propose new ideas. Lateral line is a typical example which has attracted more interest in recent years. With the aid of lateral line, fish is capable of acquiring fluid information around, which is of great significance for them to survive, communicate and hunt underwater. In this paper, we briefly introduce the morphology and mechanism of the lateral line first. Then we focus on the development of artificial lateral line which typically consists of an array of sensors and can be installed on underwater robots. A series of sensors inspired by the lateral line with different sensing principles have been summarized. And then the applications of artificial lateral line systems in hydrodynamic environment sensing and vortices detection, dipole oscillation source detection, and autonomous control of underwater robots have been reviewed. In addition, the existing problems and future foci in this field have been further discussed in detail. The current works and future foci have demonstrated that artificial lateral line has great potentials of applications and contributes to the development of underwater robots.
Do right PLS and do PLS right: A critical review of the application of PLS-SEM in construction management research
Authors: Zeng Ningshuang , Liu Yan , Gong Pan , Hertogh Marcel , König Markus 
Published: March 2021

AbstractPartial least squares structural equation modeling (PLS-SEM) is a modern multivariate analysis technique with a demonstrated ability to estimate theoretically established cause-effect relationship models. This technique has been increasingly adopted in construction management research over the last two decades. Accordingly, a critical review of studies adopting PLS-SEM appears to be a timely and valuable endeavor. This paper offers a critical review of 139 articles that applied PLS-SEM from 2002 to 2019. Results show that the misuse of PLS-SEM can be avoided. Critical issues related to the application of PLS-SEM, research design, model development, and model evaluation are discussed in detail. This paper is the first to highlight the use and misuse of PLS-SEM in the construction management area and provides recommendations to facilitate the future application of PLS-SEM in this field.
Network dynamics, economic transition, and policy design—an introduction
Authors: Kudic Muhamed , Müller Matthias , Buchmann Tobias , Pyka Andreas , Günther Jutta 
Published: March 2021

AbstractNetwork dynamics, economic transformation, and policy design are closely related phenomena that influence the performance of economic systems in a variety of ways. In this introductory paper, we set the stage for a series of excellent contributions addressing some still largely unexplored questions in this research field. At the core of our introduction, we provide a contextual structuration and classification of the contributions to this special issue. Finally, we address some contemporary issues that deserve some attention since they open up highly interesting opportunities for future research.
Profiles of maladaptive school motivation among high‐ability adolescents: A person‐centered exploration of the motivational Pathways to Underachievement model
Authors: Ramos Alicia , Lavrijsen Jeroen , Soenens Bart , Vansteenkiste Maarten , Sypré Sabine , Verschueren Karine 
Published: March 2021

ABSTRACTIntroductionThe Pathways to Underachievement model (PUM; Snyder & Linnenbrink‐Garcia, 2013) is a person‐oriented framework identifying two distinct patterns of self‐ and value beliefs that help explain underachievement among cognitively highly able students. This framework was developed to clear up inconclusive findings from variable‐centered underachievement research, but has not been previously empirically tested.MethodsThe present study aimed to test the PUM by investigating (a) whether the predicted motivational profiles are evident among a sample of high‐ability students (IQ ≥ 120) beginning secondary school in Flanders, Belgium (N = 403, Mage = 12.2 years, 60.5% males) and (b) whether these profiles relate to students’ (dis)engagement from and (under)achievement in school, as assessed by the students, their parents and teachers, and school grades. Latent profile analysis was performed on five motivational dimensions: academic self‐concept, self‐worth contingency, task value beliefs, entity beliefs, and attainment/utility value, and outcomes were compared across profiles using the BCH method.ResultsLatent profile analysis identified four profiles, each involving a distinct patterns of motivational variables. Two of the profiles exhibited maladaptive variable patterns consistent with the distinct profiles theorized by the PUM. Furthermore, profile differences in (dis)engagement and (under)achievement outcomes generally corresponded with the predictions of the PUM across multiple perspectives.ConclusionThis study found distinct maladaptive motivational profiles that were each linked to the outcomes hypothesized by the PUM. These findings establish empirically that there are qualitatively different types of high‐ability underachievers, which supports the Pathways to Underachievement model and gives momentum to person‐oriented analysis within underachievement research.
The Impact of Telemedicine on Sexual Medicine at a Major Academic Center During the COVID-19 Pandemic
Authors: Rabinowitz Matthew J. , Kohn Taylor P. , Ellimoottil Chad , Alam Ridwan , Liu James L. , Herati Amin S. 
Published: March 2021

Abstract

Introduction
Telemedicine has the potential to improve access to care; however, its utility in the field of sexual medicine remains in question.

Aim
To examine the importance of video visits for the treatment of male sexual medicine at our academic center during the period of peak telemedicine use in April 2020.

Methods
We collected and compared deidentified data from all nonprocedure, adult outpatient encounters conducted as either office visits in April 2019 (n = 1,949) or video visits in April 2020 (n = 608). The primary International Classification of Diseases codes (ICD-10) labeled as diagnoses from all encounters were collected, with most encounters linked to several disease codes (n = 4,584). Demographic data were also collected. We performed comparative analyses on Stata (College Station, TX, USA) with significance set at α = .05.

Main Outcome Measures
Disease codes were categorized based on their use and classification in urological care and the proportion that each category made up within the outpatient practice was calculated.

Results
In comparison to the office visits, which took place in April 2019, male sexual medicine visits in April 2020, during the peak of telemedicine use, made up a significantly larger overall share of our practice (P = .012), defined by relative rises in encounters pertaining to male hypogonadism, infertility, penile abnormalities, and testicular abnormalities. Outpatients seen over video visits were also younger than outpatients seen during the previous year over office visits (58.9 vs 60.8, P = .008). Further, race and ethnicity characteristics in the outpatient population were unaffected during the period of telemedicine use.

Conclusions
During the period of historically high telemedicine use following the SARS-CoV-2 outbreak, encounters associated with male sexual medicine made up a significantly larger portion of our outpatient practice. Although the full influence of the COVID-19 pandemic cannot be delineated, our findings suggest telemedicine use is compatible with the field of sexual medicine.
Linear and Nonlinear Trend Analyzes in Global Satellite‐Based Precipitation, 1998–2017
Authors: Kazemzadeh Majid , Hashemi Hossein , Jamali Sadegh , Uvo Cintia B. , Berndtsson Ronny , Huffman George J. 
Published: March 2021

AbstractPrecipitation varies spatio‐temporally in amount, intensity, and frequency. Although, much research has been conducted on analyzing precipitation patterns and variation at the global scale, trend types have still not received much attention. This study developed a new polynomial‐based model for detecting nonlinear and linear trends in a satellite precipitation product (TRMM 3B43) for the 1998–2017 period at a near‐global scale. We used an automated trend classification method that detects significant trends and classifies them into linear and nonlinear (cubic, quadratic, and concealed) trend types in satellite‐based precipitation at near‐global, continental, and climate zone scales. We found that 12.3% of pixel‐based precipitation time series across the globe have significant trend at 0.05 significance level (50% positive and 50% negative trends). In all continents except Asia, decreasing trends were found to cover larger areas than corresponding increasing trends. Regarding climate zone and precipitation trend change, our results indicate that a linear trend is dominant in the warm temperate (77.7%) and equatorial climates (80.4%) while the least linear change was detected in the polar climate (68.9%). The combined results of continental and climate zone scales indicate significant increasing trends in Asia and arid climate over the last 20 yr. Furthermore, positive trends were found to be more significant at the continental scale, particularly, in Asia relative to the climate zone scale. Linear change in precipitation (80%) was the most dominant trend observed as opposed to nonlinear (quadratic [11%] and cubic [9%]) trend types at the global scale.
Exploration of the Global Burden of Dementia Attributable to PM2.5: What Do We Know Based on Current Evidence?
Authors: Ru Muye , Brauer Michael , Lamarque Jean‐François , Shindell Drew 
Published: March 2021

AbstractExposure to ambient PM2.5 pollution has been linked to multiple adverse health effects. Additional effects have been identified in the literature and there is a need to understand its potential role in high prevalence diseases. In response to recent indications of PM2.5 as a risk factor for dementia, we examine the evidence by systematically reviewing the epidemiologic literature, in relation to exposure from ambient air pollution, household air pollution, secondhand smoke, and active smoking. We develop preliminary exposure‐response functions, estimate the uncertainty, and discuss sensitivities and model selection. We estimate the likely impact to be 2.1 M (1.4 M, 2.5 M; 5%–95% confidence) global incident dementia cases and 0.6 M (0.4 M, 0.8 M) deaths attributable to ambient PM2.5 pollution in 2015. This implies a combined toll from morbidity and mortality of dementia of 7.3 M (5.0 M, 9.1 M) lost disability‐adjusted life years. China, Japan, India, and the United States had the highest estimated total burden, and the per capita burden was highest in developed countries with large elderly populations. Compared to 2000, most countries in Europe, the Americas, and Southern Africa reduced the burden in 2015, while other regions had a net increase. Based on a recent systematic review of cost of illness studies for dementia, our estimates imply economic costs of US$ 26 billion worldwide in 2015. Based on this estimation, ambient PM2.5 pollution may be responsible for 15% of premature deaths and 7% of DALYs associated with dementia. Our estimates also indicate substantial uncertainty in this relationship, and future epidemiological studies at high exposure levels are especially needed.
The Role of Primary Emission and Transboundary Transport in the Air Quality Changes During and After the COVID‐19 Lockdown in China
Authors: Fan Hao , Wang Yuan , Zhao Chuanfeng , Yang Yikun , Yang Xingchuan , Sun Yue , Jiang Shuyi 
Published: March 2021

AbstractIn late January 2020, China’s rapid and strict control measures to curb the COVID‐19 spread led to a sharp halt in socio‐economic activity and a significant reduction in emissions. Using the ground‐based observational data, the authors synergistically quantify the nation‐wide variations of major air pollutant as well as meteorology during and after the lockdown. Their concentrations (except O3) exhibited significant reduction during February and March 2020, by more than 24% during the lockdown compared with the earlier time period and by more than 17% compared with that in the same period in 2019. In contrast, ozone increased rapidly by about 60% across the country during the lockdown. Abnormal increases in carbon monoxide and particulate matter concentrations in southwest China are attributed to the severe wildfires in Southeast Asia. The concentration of air pollutants bounced back rapidly after the full‐scale reopen in March 2020, indicating the decisive role of emissions in the pollution formation.