bluuebunny/crossref_metadata_2025_split huggingface dataset:
Defining an existing prefabrication workflow to identify measures for increased labour time utilization rates
Authors: Cribbs J , Root S 
Published: August 2021

Abstract
This paper analyses the current operations and labour utilization rates for a project team engaged in the prefabrication of exterior wall panels, in an existing manufacturing facility in Tempe, Arizona. A current state process is defined for the BIM-to-install process of each exterior insulation and finish system (EIFS) wall panel. Through analysis of the current state, it is found that only 17% of time was spent directly modelling components meant for prefabrication. The remaining 83% of time engaged in modelling is subject to optimization. Based on these findings, a discussion is presented regarding in place scheduling procedures, model and data management protocols, and field to shop verification/validation measures impacting modelling activities. Finally, a presentation of a series of future workflow interventions intended to improve labour utilization rates for modelling and shop personnel while enabling the internal shop ideal for “mass customization through prefabrication” is provided.
FEM analysis of a floor structural system made of thin-walled cold-formed steel profiles
Authors: Țăranu G , Toma I-O 
Published: August 2021

Abstract
The paper presents the results of a nonlinear FEM analysis of a floor system made of plane truss beams. The steel profiles are made of U-shaped thin walled cold-formed stell. Experimental data were used to model the stiffness of the joints. To observe the structural behaviour of the floor system, nonlinear constraints were defined as a parabolic function considering previous experimental data.
Numerical studies on steel-concrete composite structures
Authors: Urian G , Haupt-Karp A 
Published: August 2021

Abstract
The paper focuses on the seismic performances of steel-concrete composite structures made with fully encased steel-concrete composite columns and steel beams. An important objective is to study the influence of the structural steel ratio on the behaviour of composite columns. To meet the proposed objectives, a numerical study was developed on composite structures. Some comments, design recommendations and an economical study conclude the paper.
Self-stressed steel-reinforced concrete floor slab stress-strain state numerical analysis taking into account the concreting stages
Authors: Semko O V , Hasenko A V 
Published: August 2021

Abstract
In steel-reinforced concrete floor slabs, structurally ensuring the joint operation of monolithic reinforced concrete slab and steel crossbars, a successful combination of its components positive qualities is realized at a high level: compression forces are perceived by monolithic slab, and tensile forces by steel beams. Reinforced concrete slabs in such structures have a relatively equal weight with a payload on interfloor slabs for public buildings. Having effectively developed the sequence of concreting the slab through the span in two stages, it is possible to create pre-stressing in the floor steel crossbars, located in the spans of the second concreting stage, and in monolithic reinforced concrete slab of the first concreting stage. In this sense, the term “self-stressed” is used in this work. By creating pre-stresses in the steel crossbars of the floor, it is possible to reduce their cross-section or to increase their span and to achieve savings in metal costs on the building frame. Pre-stressing of the monolithic reinforced concrete slab of the first concreting stage in the opposite to operational bending form, will increase crack resistance of the specified sites of a monolithic overlapping and will give the chance to reduce its reinforcement.
Propagation properties of spin wave in Co2FeAl Heusler alloy ultrathin films
Authors: Singh Suraj , Gupta Nanhe Kumar , Hait Soumyarup , Chaudhary Sujeet , Tybell Thomas , Wahlström Erik 
Published: August 2021

Abstract
We report an investigation of spin wave propagation in ion beam sputtered Co2FeAl Heusler alloy thin film on Si(100) substrate. The spin wave transmission spectra measured at fixed frequencies by sweeping the external applied magnetic field were used to estimate technologically relevant spin wave propagation parameters. The spin wave group velocity was found at 6.1 km s−1 with an attenuation length larger than 7 μm. The Gilbert damping parameter was estimated to be 0.019. The frequency dependency of the group velocity decreased with increasing frequency and the attenuation length increased at low frequencies while started to decrease at larger frequencies. The amplitude of non-reciprocity also decreased with increasing frequency. The propagation parameters presented were also independently verified by time-resolved propagating spin wave spectroscopy.
ezGeno: an automatic model selection package for genomic data analysis
Authors: Lin Jun-Liang , Hsieh Tsung-Ting , Tung Yi-An , Chen Xuan-Jun , Hsiao Yu-Chun , Yang Chia-Lin , Liu Tyng-Luh , Chen Chien-Yu 
Published: August 2021

Abstract

Motivation
To facilitate the process of tailor-making a deep neural network for exploring the dynamics of genomic DNA, we have developed a hands-on package called ezGeno. ezGeno automates the search process of various parameters and network structures and can be applied to any kind of 1D genomic data. Combinations of multiple abovementioned 1D features are also applicable.

Results
For the task of predicting TF binding using genomic sequences as the input, ezGeno can consistently return the best performing set of parameters and network structure, as well as highlight the important segments within the original sequences. For the task of predicting tissue-specific enhancer activity using both sequence and DNase feature data as the input, ezGeno also regularly outperforms the hand-designed models. Furthermore, we demonstrate that ezGeno is superior in efficiency and accuracy compared to the one-layer DeepBind model and AutoKeras, an open-source AutoML package.

Availability and implementation
The ezGeno package can be freely accessed at https://github.com/ailabstw/ezGeno.

Supplementary information
Supplementary data are available at Bioinformatics online.
Evidence of intergenerational transmission of diethylstilbestrol health effects: hindsight and insight
Authors: Titus Linda 
Published: August 2021

Abstract
This review summarizes key findings from the US National Cancer Institute (NCI) diethylstilbestrol (DES) Combined Cohort Study with a focus on the results of the NCI Third Generation Study, a cohort of DES-exposed and -unexposed granddaughters. Findings to date from the Third Generation Study are discussed in the context of other research efforts and case reports, suggesting an intergenerational heritability of DES-related effects. The DES story serves as a model for the influence of endocrine disrupting chemicals on human health. It also serves as a warning of the special hazards of pregnancy exposures, and more broadly, of the potential for invisible health consequences arising from new or changing exposures.
Reparations: To What End? Developing the State’s Positive Duties to Address Socio-economic Harms in Post-conflict Settings through the European Court of Human Rights
Authors: Torres Felix E 
Published: August 2021

Abstract
Despite being conceived as a framework to protect civil and political rights in peacetime, the European Convention on Human Rights is currently being applied in states affected by armed conflicts with challenging socio-economic demands. This article outlines the European Court of Human Rights’ current approach for the protection of human rights in conflict-related scenarios and critically examines its suitability to cope with the socio-economic challenges that arise in post-conflict settings. With recourse to legal theory and moral thought, it explores an alternative avenue to coherently frame the Court’s practice to overcome certain problematic distributive outcomes that derive from the prevailing approach. The suggested alternative is a regime of positive duties intended to ensure an adequate standard of living after widespread violence.
Epistasis for head morphology in Drosophila melanogaster
Authors: Özsoy Ergi D , Yılmaz Murat , Patlar Bahar , Emecen Güzin , Durmaz Esra , Magwire Michael M , Zhou Shanshan , Huang Wen , Anholt Robert R H , Mackay Trudy F C 
Published: August 2021

Abstract
Epistasis—gene–gene interaction—is common for mutations with large phenotypic effects in humans and model organisms. Epistasis impacts quantitative genetic models of speciation, response to natural and artificial selection, genetic mapping, and personalized medicine. However, the existence and magnitude of epistasis between alleles with small quantitative phenotypic effects are controversial and difficult to assess. Here, we use the Drosophila melanogaster Genetic Reference Panel of sequenced inbred lines to evaluate the magnitude of naturally occurring epistasis modifying the effects of mutations in jing and inv, two transcription factors that have subtle quantitative effects on head morphology as homozygotes. We find significant epistasis for both mutations and performed single marker genome-wide association analyses to map candidate modifier variants and loci affecting head morphology. A subset of these loci was significantly enriched for a known genetic interaction network, and mutations of the candidate epistatic modifier loci also affect head morphology.
Psychometric Evaluation of the Making it CLEAR Questionnaire: A Resilience Measure for Older Adults
Authors: Whitehall Lucy , Górska Sylwia , Rush Robert , Singh Roy Anusua , Irvine Fitzpatrick Linda , Forsyth Kirsty 
Published: August 2021

Abstract

Background and Objectives
Previous efforts to develop a resilience measure for older adults have largely failed to consider the environmental influences on their resilience, and have primarily concentrated on the resilience of community-dwelling older adults. Our objective was to validate a new multidimensional measure of resilience, the Making it CLEAR (MiC) questionnaire, for use with older adults at the point of discharge from hospital.

Research Design and Methods
This study tested the structure, validity, and reliability of the MiC questionnaire. The questionnaire consists of 34 items, which assess the “individual determinants of resilience” (IDoR) and the “environmental determinants of resilience” (EDoR) across 2 subscales. 416 adults aged 66–102 years participated. Exploratory factor analysis, item analysis, and linear regression were undertaken.

Results
The IDoR subscale contained six factors which were labeled “Self-efficacy,” “Values,” “Interpersonal skills,” “Life orientation,” “Self-care ability,” and “Process skills.” The EDoR subscale contained five factors related to “Person–environment fit,” “Friends,” “Material assets,” “Habits,” and “Family.” Both subscales demonstrated acceptable convergent validity and internal consistency, while individual items showed acceptable levels of discrimination and difficulty.

Discussion and Implications
The study provides evidence supporting the validity and quality of the MiC questionnaire. The results suggest that the MiC questionnaire could be used to identify the resilience needs of older adults at the point of hospital discharge. However, future research should identify which items of the MiC questionnaire are associated with hospital readmission, in order to develop an easily applicable screening tool for clinical practice.
Flame propagation and CO/CO2 generation characteristics of lignite dust explosion in horizontal pipeline
Authors: Liu Tianqi , Wang Ning , Sun Ruicheng , Cai Zhixin , Tian Weiye , Jia Ruiheng 
Published: August 2021

Abstract
To reveal the flame propagation and CO/CO2 generation characteristics of coal dust explosion, lignite dust cloud is studied through experiment and numerical simulation in a horizontal pipeline apparatus. The result indicated that within 0.5 s after explosion, the flame propagation distance rapidly increases until the explosion reaction is sufficient. FLUENT is used to simulate the flame propagation and CO/CO2 generation characteristics. It is found that the simulation error is acceptable and the simulation result is consistent with the experimental result. The explosion space is divided into five zones by simulating the flame temperature. It also revealed that z = 0.3 ~ 0.6 m in the pipeline generates more CO because it is closed to the ignition zone. As the explosion spreads through the pipeline, the generated CO accumulates to the bottom of the pipeline, and the generated CO2 accumulates more in the upper part of the pipeline.
Robust portfolio choice under the 4/2 stochastic volatility model
Authors: Cheng Yuyang , Escobar-Anel Marcos 
Published: August 2021

Abstract
This paper provides the first optimal portfolio analysis for a constant relative risk-averse and ambiguity-averse investor under the state-of-the-art 4/2 stochastic volatility model in a complete market setting. We determine the robust optimal strategy and the worst case measure by allowing separate levels of uncertainty for variance and stock drivers. Technical conditions for well-defined solutions are detailed together with a verification result. The robust optimal investment exposure displays a dependence on current volatility levels similar to the non-robust case further impacted by the ambiguity-aversion level. Using real-world parameters, the numerical analysis finds that wealth-equivalent losses (WELs) from ignoring uncertainty or market completeness are moderate. On the other hand, WELs for investors who follow simpler but popular strategies, such as Heston (1/2 model) and Merton (geometric Brownian motion [GBM] model), could be quite substantial, of up to 24 and 51%, respectively. This latest analysis comes from new non-affine representations for the suboptimal value function of the 1/2 and GBM strategies.
Target unbiased meta-learning for graph classification
Authors: Li Ming , Zhu Shuo , Li Chunxu , Zhao Wencang 
Published: August 2021

Abstract
Even though numerous works focus on the few-shot learning issue by combining meta-learning, there are still limits to traditional graph classification problems. The antecedent algorithms directly extract features from the samples, and do not take into account the preference of the trained model to the previously “seen” targets. In order to overcome the aforementioned issues, an effective strategy with training an unbiased meta-learning algorithm was developed in this paper, which sorted out problems of target preference and few-shot under the meta-learning paradigm. First, the interactive attention extraction module as a supplement to feature extraction was employed, which improved the separability of feature vectors, reduced the preference of the model for a certain target, and remarkably improved the generalization ability of the model on the new task. Second, the graph neural network was used to fully mine the relationship between samples to constitute graph structures and complete image classification tasks at a node level, which greatly enhanced the accuracy of classification. A series of experimental studies were conducted to validate the proposed methodology, where the few-shot and semisupervised learning problem has been effectively solved. It also proved that our model has better accuracy than traditional classification methods on real-world datasets.
A new species of South America marsh rat (Holochilus, Cricetidae) from northeastern Brazil
Authors: Prado Joyce R , Knowles L Lacey , Percequillo Alexandre R 
Published: August 2021

AbstractMarsh rats of the genus Holochilus are broadly distributed and inhabit several distinct environments throughout South America. As an enigmatic group with a somewhat uncertain taxonomy, the composition and names of taxa have shifted throughout history, including the boundaries of Holochilus sciureus, a species formerly distributed in the lowlands of the Guianas, Peru, Bolivia, and northern, central, and northeastern of Brazil. Based on a combination of morphological and morphometric traits, and genomic sequences, we redefined species boundaries and split this wide concept of H. sciureus into three separated species, including a redefined H. sciureus, the newly erected from synonymy H. nanus, and an unnamed taxon. We describe this unnamed species, and provide emended diagnoses for the two redefined species. The newly named taxon inhabits the northeastern part of Brazil and differs from the other congeners by a unique combination of phenotypic and genomic characters.
Intra- and inter-physician variability in target volume delineation in radiation therapy
Authors: Das Indra J , Compton Julia J , Bajaj Amishi , Johnstone Peter A 
Published: August 2021

Abstract
Reduction in setup errors is advocated through daily imaging and adaptive therapy, where the target volume is drawn daily. Previous studies suggest that inter-physician volume variation is significant (1.5 cm standard deviation [SD]); however, there are limited data for intra-physician consistency in daily target volume delineation, which is investigated in this study. Seven patients with lung cancer were chosen based on the perceived difficulty of contouring their disease, varying from simple parenchymal lung nodules to lesions with extensive adjacent atelectasis. Four physicians delineated the gross tumor volume (GTV) for each patient on 10 separate days to see the intra- and inter-physician contouring. Isocenter coordinates (x, y and z), target volume (cm3), and largest dimensions on anterior–posterior (AP) and lateral views were recorded for each GTV. Our results show that the variability among the physicians was reflected by target volumes ranging from +109% to −86% from the mean while isocenter coordinate changes were minimal; 3.8, 1.7 and 1.9 mm for x, y and z coordinates, respectively. The orthogonal image (AP and lateral) change varied 16.3 mm and 15.0 mm respectively among days and physicians.
We conclude than when performing daily imaging, random variability in contouring resulted in isocenter changes up to ±3.8 mm in our study. The shape of the target varied within ±16 mm. This study suggests that when using daily imaging to track isocenter, target volume, or treatment parameters, physicians should be aware of personal variability when considering margins added to the target volume in daily decision making especially for difficult cases.
Pararectal hernia: literature review and surgical repair techniques in the era of robotic surgery
Authors: Glanzer Rebecca , O’Neil Breanna , Turaihi Hassan 
Published: August 2021

Abstract
A pelvic hernia is the protrusion of intraperitoneal or extraperitoneal contents into the perineum through a defect in the pelvic floor. Pelvic hernias are rare with no gold standard method for repair. After abdominoperineal resection, a commonly cited incidence of perineal hernia is 1%. Here, we describe a robotic repair of a pararectal hernia in a post-menopausal women presenting with rectal herniation through a pelvic floor defect causing issues with fecal urgency and incontinence.
Diagnostic laparoscopy and oophorectomy for ovarian vein thrombosis in a patient with COVID-19: a surgical case report and literature review
Authors: Glanzer Rebecca , Rogers Nicole , Patrick Ryan J , Hassebroek-Johnson Jeanne 
Published: August 2021

Abstract
Ovarian vein thrombosis (OVT) is a rare condition most frequently associated with pelvic inflammatory disease (PID), malignancy or the immediate postpartum period. This case study reports on a 56-year-old woman who developed OVT 11 days after a positive COVID-19 diagnosis. Imaging including abdominal/pelvic computed tomography, transvaginal Doppler ultrasound and transabdominal pelvic ultrasound failed to definitively diagnose the thrombotic etiology of the patient’s presentation. Ultimately, laparoscopic visualization and subsequent oophorectomy were necessary for diagnostic and therapeutic purposes. The patient did not have underlying malignancy, recent surgical history, history of PID or any history of previous thromboembolic events. Therefore, this report contributes further evidence to the growing knowledge of systemic manifestations associated with COVID-19 that may require surgical intervention.
Dual roles of jasmonate in adventitious rooting
Authors: Pan Xuan , Yang Zhengfei , Xu Lin 
Published: August 2021

This article comments on:Dob A, Lakehal A, Novak O, Bellini C. 2021. Jasmonate inhibits adventitious root initiation through repression of CKX1 and activation of RAP2.6L transcription factor in Arabidopsis. Journal of Experimental Botany 72, 7107–7118.
Gas Chromatography Mass Spectrometry Aided Diagnosis of Glutathione Synthetase Deficiency
Authors: Kaur Parminder , Chaudhry Chakshu , Panigrahi Inusha , Srivastava Priyanka , Kaur Anupriya 
Published: August 2021

Abstract
Glutathione synthetase (GSS) deficiency is a rare disorder, occurring with a frequency of less than 1 in 100,000 individuals worldwide. The clinical presentation may vary from mild to severe, and manifestations include hemolytic anemia, hyperbilirubinemia, metabolic acidosis, neurological problems, and sepsis. Herein, we present a case of a newborn boy with the most severe phenotype of GSS deficiency, diagnosed based on clinical features and increased urinary 5-oxoproline levels determined via gas chromatography mass spectrometry (GCMS) testing.
Tailoring polymer acceptors by electron linkers for achieving efficient and stable all-polymer solar cells
Authors: Wu Qiang , Wang Wei , Wu Yao , Sun Rui , Guo Jing , Shi Mumin , Min Jie 
Published: August 2021

Abstract
The trade-off between efficiency and stability is a bit vague, and it can be tricky to precisely control the bulk morphology to simultaneously improve device efficiency and stability. Herein, three fused-ring conducted polymer acceptors containing furan, thiophene and selenophene as the electron linkers in their conjugated backbones, namely PY-O, PY-S and PY-Se, were designed and synthesized. The electron linker engineering affects the intermolecular interactions of relative polymer acceptors and their charge transport properties. Furthermore, excellent material compatibility was achieved when PY-Se was blended with polymer donor PBDB-T, resulting in nanoscale domains with favorable phase separation. The optimized PBDB-T : PY-Se blend not only exhibits maximum performance with a power conversion efficiency of 15.48%, which is much higher than those of PBDB-T : PY-O (9.80%) and PBDB-T : PY-S (14.16%) devices, but also shows better storage and operational stabilities, and mechanical robustness. This work demonstrates that precise modification of electron linkers can be a practical way to simultaneously actualize molecular crystallinity and phase miscibility for improving the performance of all-polymer solar cells, showing practical significance.