bluuebunny/crossref_metadata_2025_split huggingface dataset:
The utilization of green roofs and walls “ecosystem services” as a strategy to mitigate climate change
Authors: Vicuña Susana Moya , Ormaza Marcelo Villacis 
Published: May 2021

Abstract
Green infrastructure is a set of systems and strategies that promote a more sustainable and efficient development, this paper reviews the green roofs and facades that are part of this infrastructure. Currently, its application in buildings aims to take advantage of its “ecosystem services”, such as energy savings, reduction of the heat island, improvements in water quality, air and health, and other advantages that are broken down into the article, which are achieved through natural processes carried out by vegetation, which allows evapotranspiration, the absorption of impurities, the reduction of noise, the capture of rainwater. Thus, collaborating in the reduction of sewage systems load in the cities, thanks to the use of the water captured, also contributing to water cost reduction from the drinking network of the cities. This paper results from a literature review on advantages and disadvantages that green roofs and walls offer in an urban environment.
Remotely piloted aircraft system (RPAS) use in construction: a thermography inspection case study
Authors: Rodríguez M Videras , Sánchez Cordero A , Gómez Melgar S , Andújar Márquez J M 
Published: May 2021

Abstract
The inspection of buildings with thermographic cameras is a powerful and non-invasive means of monitoring and diagnosing the state of buildings. In the field of energy efficiency, the use of thermography allows detecting insulation defects, humidity detection, location of water leaks, detection of air leaks, among others. The implementation of thermal devices in aircraft facilitates the recognition of the efficiency status of buildings and solves problems that compromise operator safety. However, it is a complex application that requires a step-by-step methodology where all the conditioning factors that can negatively affect the results are collected. This research presents a working methodology to perform energy inspections on roofs using a RPAS (Remotely piloted aircraft system) equipped with a radiometric thermal camera. In the methodology presented were detailed the premises to be taken into account before carrying out an operation of this type, the different stages related to the execution of the flight, the materials used for the acquisition of thermal images and the post-processing techniques to obtain the results of the energetic inspection. The results showed remarkable apparent temperature changes on the roof surface, in special, in the north-west part of the building. Weaknesses related to heat loss were identified in the flat roof borders and the sloping roof ridges. The execution of the inspection demonstrated the viability of using the aerial thermography for monitoring the performance of a building by identifying energy problems in advance, documenting and correcting them before they become worse and more costly to repair.
Study on new test technology of pile foundation bearing capacity
Authors: Xue-feng Zhang 
Published: May 2021

Abstract
A revolutionizing pile foundation testing technology, STATNAMIC has been analysis in the paper. This method is the testing method of bearing capacity for the pile foundation that has the advantages such as economical, speedy, accurate and reliable etc. By burning solid fuel in a combustion chamber, a controlled and pre-determined load is applied directly to the pile foundation without introducing high tension forces. The duration of loading is substantially longer than both the impulse produced by dynamic testing and the natural frequency of pile foundation. Moreover, owing to test without anchor pile, thus it would be able to save cost of manufacturing the anchor pile and the constructing period. And, finally it is not limited to the type of pile, the pile gradient and the surroundings of pile.
Damage analysis of deep water high pile cap foundations under different concrete corrosion by ship impact load
Authors: Xuefeng Zhang 
Published: May 2021

Abstract
The deep-water high-pile cap foundation is in the water environment for a long time, which is likely to cause corrosion damage to the pile foundation concrete. At present, the damage analysis of the upper structure has received more attention and the technology is relatively complete, but the research on the damage identification and analysis of the substructure and foundation Relatively lacking. Due to the loading characteristics of the substructure, its own bearing characteristics and the geological watermark environment, which are quite different from the upper structure, the corresponding damage identification and damage analysis evaluation technology is quite different from that of the upper structure, so special research is needed.
Structural efficiency of the ‘Pombalino Frontal’ infilled with mortar
Authors: Morais António , Fialho Carmo , Diogo Basto , Ivanova Svetlana 
Published: May 2021

Abstract
On November 1st, 1755, occurred a huge earthquake in Portugal which hit and destroyed Lisbon. In a previous paper, where we presented some research about pombalino system, we referred and noted that we were just in 1755, when the creation and development of the ‘pombalino building’ occurred, so the concept of stress and deformation had not yet appeared, but, despite this, the military engineers of the kingdom were able to create a remarkable construction system with anti-seismic characteristics. In the vertical frontal truss of the Pombaline System, the spaces between the vertical and horizontal plumbs are filled with mortar that contained small elements of stone and ceramic residues. This form of filling was not carried out in order to close the space, because at the time, even in the Pombaline building, the solution adopted to close space was different. This filling was designed by the engineers to provide the building with an additional energy dissipation system, although at the time humanity has not yet developed the concepts and theory of structural analysis and, obviously, the characterization and definition of the dynamic behaviour of a structure had not yet been achieved. The frontal element design suggests their engineers’ designers had at that time an accurate knowledge about the dynamic phenomenology involved in the seismic behaviour of the pombaline building. In this article we present structural calculations performed on a ‘frontal pombalino’ standard, used in the ‘Pombalino cage’, which demonstrate that the military engineers had not only a perfect understanding of the St. André cross potential, but they also know the role played by the filling mortar in the seismic response of the Pombaline building. The infill cracks when a seismic occurs and a large number of slits are formed, and each crack acts as an energy dumper (a power sink).
Ecological planning of the urban residential area for the sustainable development
Authors: Kang Ning , Liu Yan , Wang Zhihong 
Published: May 2021

Abstract
Residential area is closely related to human living environment, and the construction of ecological residential area has become an important part of current architectural research. Studies on the landscape planning and design development direction of urban ecological residential area from the perspective of sustainable development were made in this paper, and then taking the planning and design project of “Cihu Lake Peninsula of Country Garden” in Huangshi city of China as an example, discussions about how to adjust measures to local conditions, put people first and keep pace with the times in landscape construction of eco-residential area were also present. This study provides reference for the combination of theory and practice of eco-residential planning and design.
Effect of fly ash and graphite addition on the tribological behavior of aluminium composites
Authors: Sharma Vipin Kumar , Singh Ramesh Chandra , Chaudhary Rajiv 
Published: May 2021

Abstract
The present work discusses the wear and friction studies of aluminium graphite fly ash composite. Three aluminium composites, Al with 10 wt. % fly ash, Al with 10 wt. % graphite, and Al with 5 wt. % fly ash & 5 wt. % graphite were fabricated using the stir casting technique. A linear reciprocating tribometer was used to evaluate the wear and frictional behavior at two distinctive temperatures of 36 °C and 100 °C in dry and lubricated conditions. The aluminium with 10 wt. % fly ash resulted in the least amount of mass loss and coefficient of friction in dry as well as a lubricated condition at 36 °C, however, at a higher temperature of 100 °C the aluminium with 10% graphite exhibits the lowest mass loss and coefficient of friction value. It is concluded that for dry sliding conditions, aluminium fly ash composite could be used as a potential material for applications that are to be operated at room temperature and for high-temperature applications aluminium graphite composite is more suitable.
CuO/rGO nanocomposite as an anode material for high-performance lithium-ion batteries
Authors: Li Yong , Duan Chao Nan , Jiang Zhou , bin Zhou Xue , Wang Ying 
Published: May 2021

Abstract
The porous copper oxide (CuO)/reduced graphene oxide (rGO) composite was prepared by hydrothermal procedure and stirred with graphene oxide dispersion. The composite was employed as anode material to prepare a lithium-ion battery. The effects of different copper sources on the morphology and chemical properties of the materials were studied. Our findings revealed that the structure of CuO with different morphologies was significantly different, which changed the bonding mode of CuO/ RGO composites. Our study discovered that the thorn-like B and spherical A and D possess greater capacity and cycle stability. After 100 charge-discharge processes with 200 mAg−1 current density, the reversible capacities were 295 mAhg−1, 290 mAhg−1, and 313mAhg−1.
Microstructure and mechanical properties of rhenium and GH3128 superalloy dissimilar welded joints by electron beam welding
Authors: Fan Linhao , Li Dong , Jia Shudang , Tao Fu , Chen Jieshi 
Published: May 2021

Abstract
This research aims to study the dissimilar welded joint of rhenium and GH3128 made by electron beam welding. The microstructure, solidification behavior, mechanical properties, and Re distribution behavior of the weld were systematically researched. The results showed that an excellently joint is obtained, and no defects such as cracks and pores were found in the weld. But thermal cracks occur on the Re base material under the influence of heat input. The fusion zone was mainly composed of columnar dendrites, while the plane grains grow near the Re-side fusion line (reaction layer), which was always enriched in the Re element. Re is evenly distributed in the Ni matrix as a solid solution element so that the hardness of the joint is always higher than that of the GH3128 base material. The tensile strength of the joint reached 498 Mpa and the elongation was about 3%. The tensile fracture occurred at the position of the reaction layer. The high hardness and brittleness of the reaction layer are attributed to the high content of Re and a lot of low-angle grain boundaries.
Invited Commentary: Religious Service Attendance and Implications for Clinical Care, Community Participation, and Public Health
Authors: VanderWeele Tyler J , Balboni Tracy A , Koh Howard K 
Published: May 2021

AbstractIn this commentary, we review the evidence concerning associations between religious service attendance and subsequent health and wellbeing outcomes. The evidence base for a link between religious service attendance and health has increased substantially over the past 2 decades. The interpretation and implications of this research require careful consideration (Am J Epidemiol. 2022;191(1):20–30). It would be inappropriate to universally promote service attendance solely on the grounds of the associations with health. Nevertheless, a more nuanced approach, within both clinical care and public health, may be possible—one that encouraged participation in religious community for those who already positively self-identified with a religious or spiritual tradition and encouraged other forms of community participation for those who did not. Discussion is given to potential future research directions and the challenges and opportunities for promotion efforts by the public health community.
Peripheral infiltration of remdesivir in 3 patients with COVID-19: Case series and discussion
Authors: van Merendonk Lisanne N , Leeuwerik Anke F , den Brok Monique W J , Hekking Pieter-Paul W , Korevaar Daniel A , Jacobs Christian J , Bet Pierre M 
Published: May 2021

AbstractPurposeThe coronavirus disease 2019 (COVID-19) pandemic resulted in accelerated market access to remdesivir worldwide. Therefore, data about complications experienced during use of the drug are limited. This is the first published case series (1 case report exists) to describe remdesivir infiltration in 3 patients with COVID-19.SummaryIn the first case, a 91-year-old woman experienced remdesivir infiltration resulting in edema, hematoma at the area of infiltration; on palpation, the affected area felt cooler than the surrounding areas. Swelling was still present after 6 weeks. In the second case, remdesivir infiltration occurred in a 72-year-old male, resulting in edema, hematoma, and pain at the area of infiltration. The hematoma lasted for 7 days. The third case concerned a 67-year-old woman, in whom remdesivir infiltration led to edema and a small hematoma. The hematoma regressed to a negligible size within 3 days. However, a week after infiltration, redness had reappeared. In 2 cases, the patient was immediately treated with hyaluronidase injections, but no specific treatments were provided in the other case.ConclusionBased on the product information provided by remdesivir’s manufacturer, we believe symptoms and signs observed in the 3 cases may have resulted from the low pH (~4) of the nonbuffered remdesivir solution, although the patients were not formally assessed for caustic injury. Previous experience with other noncytotoxic medications suggests that infusion-specific factors (eg, volume of leaked fluid) and patient-specific factors (eg, advanced age) may have a role in the outcome of remdesivir infiltration. The possibility of symptoms caused by cyclodextrins in the formulation or by intrinsic toxicity of remdesivir warrants exploration.
Geographic variation in shoot structure in association with fruit size in an evergreen woody species
Authors: Goto Takuma , Osada Noriyuki 
Published: May 2021

Abstract
The generality of scaling relationships between multiple shoot traits, known as Corner’s rules, has been considered to reflect the biomechanical limits to trees and tree organs among the species of different leaf sizes. Variation in fruit size within species would also be expected to affect shoot structure by changing the mechanical and hydraulic stresses caused by the mass and water requirement of fruits. We investigated the differences in shoot structure and their relationship with fruit size in Camellia japonica from 12 sites in a wide geographic range in Japan. This species is known to produce larger fruits with thicker pericarps in more southern populations because warmer climates induce more intensive arms race between the fruit size and the rostrum length of its obligate seed predator. We found that, in association with the change in fruit size, the diameter and mass of 1-year-old stems were negatively associated with latitude, but the total mass and area of 1-year-old leaves did not change with latitude. Consequently, the length of 1-year-old stems and the total mass and area of 1-year-old leaves at a given stem diameter were positively associated with latitude in the allometric relationships. In contrast, the allometric relationships between stem diameter and total mass of the 1-year-old shoot complex (the leaves, stems and fruits that were supported by a 1-year-old stem) did not differ across the trees of different latitudes. Thus, natural selection on fruit size is considered to influence the other traits of Corner’s rules in C. japonica, but all of the traits of Corner’s rules do not necessarily change in a similar manner across latitudinal gradients.
Utilizing image and caption information for biomedical document classification
Authors: Li Pengyuan , Jiang Xiangying , Zhang Gongbo , Trabucco Juan Trelles , Raciti Daniela , Smith Cynthia , Ringwald Martin , Marai G Elisabeta , Arighi Cecilia , Shatkay Hagit 
Published: May 2021

Abstract

Motivation
Biomedical research findings are typically disseminated through publications. To simplify access to domain-specific knowledge while supporting the research community, several biomedical databases devote significant effort to manual curation of the literature—a labor intensive process. The first step toward biocuration requires identifying articles relevant to the specific area on which the database focuses. Thus, automatically identifying publications relevant to a specific topic within a large volume of publications is an important task toward expediting the biocuration process and, in turn, biomedical research. Current methods focus on textual contents, typically extracted from the title-and-abstract. Notably, images and captions are often used in publications to convey pivotal evidence about processes, experiments and results.

Results
We present a new document classification scheme, using both image and caption information, in addition to titles-and-abstracts. To use the image information, we introduce a new image representation, namely Figure-word, based on class labels of subfigures. We use word embeddings for representing captions and titles-and-abstracts. To utilize all three types of information, we introduce two information integration methods. The first combines Figure-words and textual features obtained from captions and titles-and-abstracts into a single larger vector for document representation; the second employs a meta-classification scheme. Our experiments and results demonstrate the usefulness of the newly proposed Figure-words for representing images. Moreover, the results showcase the value of Figure-words, captions and titles-and-abstracts in providing complementary information for document classification; these three sources of information when combined, lead to an overall improved classification performance.

Availability and implementation
Source code and the list of PMIDs of the publications in our datasets are available upon request.
NeoFox: annotating neoantigen candidates with neoantigen features
Authors: Lang Franziska , Riesgo-Ferreiro Pablo , Löwer Martin , Sahin Ugur , Schrörs Barbara 
Published: May 2021

Abstract

Summary
The detection and prediction of true neoantigens is of great importance for the field of cancer immunotherapy. Wesearched the literature for proposed neoantigen features and integrated them into a toolbox called NEOantigen Feature toolbOX (NeoFox). NeoFox is an easy-to-use Python package that enables the annotation of neoantigen candidates with 16 neoantigen features.

Availability and implementation
NeoFox is freely available as an open source Python package released under the GNU General Public License (GPL) v3 license at https://github.com/TRON-Bioinformatics/neofox.

Supplementary information
Supplementary data are available at Bioinformatics online.
CrepHAN: cross-species prediction of enhancers by using hierarchical attention networks
Authors: Hong Jianwei , Gao Ruitian , Yang Yang 
Published: May 2021

Abstract

Motivation
Enhancers are important functional elements in genome sequences. The identification of enhancers is a very challenging task due to the great diversity of enhancer sequences and the flexible localization on genomes. Till now, the interactions between enhancers and genes have not been fully understood yet. To speed up the studies of the regulatory roles of enhancers, computational tools for the prediction of enhancers have emerged in recent years. Especially, thanks to the ENCODE project and the advances of high-throughput experimental techniques, a large amount of experimentally verified enhancers have been annotated on the human genome, which allows large-scale predictions of unknown enhancers using data-driven methods. However, except for human and some model organisms, the validated enhancer annotations are scarce for most species, leading to more difficulties in the computational identification of enhancers for their genomes.

Results
In this study, we propose a deep learning-based predictor for enhancers, named CrepHAN, which is featured by a hierarchical attention neural network and word embedding-based representations for DNA sequences. We use the experimentally supported data of the human genome to train the model, and perform experiments on human and other mammals, including mouse, cow and dog. The experimental results show that CrepHAN has more advantages on cross-species predictions, and outperforms the existing models by a large margin. Especially, for human-mouse cross-predictions, the area under the receiver operating characteristic (ROC) curve (AUC) score of ROC curve is increased by 0.033∼0.145 on the combined tissue dataset and 0.032∼0.109 on tissue-specific datasets.

Availability and implementation
bcmi.sjtu.edu.cn/∼yangyang/CrepHAN.html

Supplementary information
Supplementary data are available at Bioinformatics online.
Improving deep learning-based protein distance prediction in CASP14
Authors: Guo Zhiye , Wu Tianqi , Liu Jian , Hou Jie , Cheng Jianlin 
Published: May 2021

Abstract

Motivation
Accurate prediction of residue–residue distances is important for protein structure prediction. We developed several protein distance predictors based on a deep learning distance prediction method and blindly tested them in the 14th Critical Assessment of Protein Structure Prediction (CASP14). The prediction method uses deep residual neural networks with the channel-wise attention mechanism to classify the distance between every two residues into multiple distance intervals. The input features for the deep learning method include co-evolutionary features as well as other sequence-based features derived from multiple sequence alignments (MSAs). Three alignment methods are used with multiple protein sequence/profile databases to generate MSAs for input feature generation. Based on different configurations and training strategies of the deep learning method, five MULTICOM distance predictors were created to participate in the CASP14 experiment.

Results
Benchmarked on 37 hard CASP14 domains, the best performing MULTICOM predictor is ranked 5th out of 30 automated CASP14 distance prediction servers in terms of precision of top L/5 long-range contact predictions [i.e. classifying distances between two residues into two categories: in contact (&lt;8 Angstrom) and not in contact otherwise] and performs better than the best CASP13 distance prediction method. The best performing MULTICOM predictor is also ranked 6th among automated server predictors in classifying inter-residue distances into 10 distance intervals defined by CASP14 according to the precision of distance classification. The results show that the quality and depth of MSAs depend on alignment methods and sequence databases and have a significant impact on the accuracy of distance prediction. Using larger training datasets and multiple complementary features improves prediction accuracy. However, the number of effective sequences in MSAs is only a weak indicator of the quality of MSAs and the accuracy of predicted distance maps. In contrast, there is a strong correlation between the accuracy of contact/distance predictions and the average probability of the predicted contacts, which can therefore be more effectively used to estimate the confidence of distance predictions and select predicted distance maps.

Availability and implementation
The software package, source code and data of DeepDist2 are freely available at https://github.com/multicom-toolbox/deepdist and https://zenodo.org/record/4712084#.YIIM13VKhQM.

Supplementary information
Supplementary data are available at Bioinformatics online.