bluuebunny/crossref_metadata_2025_split huggingface dataset:
Basic reflections on the implementation of different 3D technologies co-operating in the architectural design process
Authors: Furmanek Aleksander Filip 
Published: December 2021

Abstract
The constant progress of technique is inevitable nowadays and seems to be the same in a predictable future. The observation of this phenomenon leads us to formulate a few reflections on it. The use of advanced techniques causes a clearer detachment of production processes from human work. Robotics and automation were initially supposed to facilitate the production of elements, but over time they began to replace humans more and more. Will there be a place for human work in the future? It is already being pushed out of many bastions in which it was supposed to be indispensable. Autonomous cars and buses are the best example of this. Can similar phenomena be noticed in design? Will the machine replace the creator? The development of artificial intelligence (AI) shows that it is possible. Complicated algorithms are already able to compose a piece of classical music. In the case of architecture, architects are still in the lead, however, one has to take into account the conquest of this field by AI. At the moment, designers have various advanced techniques at their disposal to facilitate and accelerate their work. The most important among them are: digital 3D modeling CAD (Computer Aided Design), Building Information Modeling (BIM), visualizations, and computer animations mainly used to present ready-made ideas, but also useful at the concept stage. Apart from them, three-dimensional printing is also important, as well as three-dimensional design of structures. The above technologies are increasingly used in the design process. They are more compatible with each other than before. They allow you to save labour, accelerate the implementation of tasks, as well as to optimise the designed buildings in many respects related to construction, prefabrication or energy efficiency, to name just a few. An important, although not very common, advantage of technological innovations is their use not only during design and construction, but also during the maintenance of ready-made buildings. The best example of this is BIM, which facilitates the previous management of these technology designed objects. In the future, it will be much easier to design the adaptations of such buildings and to store information of changes which were made. This approach fits in with the idea of Management of Change, which can be included in an even broader aspect among the paradigm of sustainable development.
Mechanical Properties of Transparent Epoxy Adhesives for Glass Structures
Authors: Zikmundová Markéta , Eliášová Martina 
Published: December 2021

Abstract
Adhesive connections are commonly used in many industries as automotive, aerospace, electronics and also in civil engineering. Adhesives in civil engineering are used for non-load bearing structures but nowadays are requirements for using adhesive also for load- bearing structures especially for glass structures. Silicones are mostly used adhesives in civil engineering, they have good resistance to external environment but their lower strength and lower stiffness does not meet requirements for many applications. For this reason, are better semi-rigid or rigid adhesives but there is a lack of information about them. The paper is focused on experimental testing of transparent adhesive connection glass to glass. Four epoxy adhesives were chosen for double lap shear joint. Specimen were exposed to shear test until failure. Shear force and displacement were measured during test. Shear stress, elongation at break, shear modulus and failure mode were obtained from the tests. Only one epoxy adhesive had low adhesion to glass. Specimen with this adhesive had the lowest shear strength. Other three adhesives showed good adhesion to glass and had shear strength 6.5 times higher. Failure mode of specimen with these adhesives was always breaking of the glass.
Study Results and Obtaining High Ventilation Air Quality in Architecture for an Old Shopping Centre Public Utility Building with Modernised EL. Heating in Warsaw, District, Poland
Authors: Wrana Jan , Struzik Wojciech 
Published: December 2021

Abstract
The subject of this paper is the study of a public utility building, a shopping centre in Warsaw/Targówek, carried out as part of the programme of “Research for obtaining high air quality in architecture. The purpose of the study of the building is to utilise a new technology which will lead to reductions in electrical and heat energy consumption and cuts in CO2 emissions in the modernised Shopping Centre Public Utility Building in Warsaw. The building is equipped with systems for obtaining heat and cold from groundwater and is adapted to a low electrical energy consumption level with the lowest primary energy ratio in Poland. It is located in Warsaw and, in addition to the energy sourcing system, features a highly modern control system (BMS). The objective of the study is to demonstrate operating costs for a building with low exterior wall and roof insulation parameters. In addition, the building uses a heating system based solely on electrical heating due to its lack of access to gas and district heating. The conducted studies and analyses allowed a comparison of the operating costs of old buildings following modernisation with those of new buildings.
A multi-AUV cooperative navigation method
Authors: Shao Yang , Luo Qinghua , Liu Chao , Yan Xiaozhen , Yang Kexin 
Published: December 2021

Abstract
Cooperative navigation is one of the key methods for multiple autonomous underwater vehicles (AUVs) to obtain accurate positions when performing tasks underwater. In the realistic state-space model of the multi-AUV cooperative navigation system, where the system noise does not satisfy the additivity, it is necessary to augment the dimension of the state variables before nonlinear filtering. Aiming at the problem that the error of traditional algorithms increases linearly with the dimension of state-space, a cooperative navigation method based on Augmented Embedded Cubature Kalman filter (AECKF) algorithm is proposed. The experiment results show that the AECKF cooperative navigation algorithm has better positioning accuracy and stability than the traditional algorithm.
Research on DC-DC power health management technology based on degradation test and deep learning
Authors: Shi Linlin , Yu Pengfei , He Shilie , Zhou Zhenwei , Meng Linghui , Liu Junbin , Cheng Liye , Huang Yun 
Published: December 2021

Abstract
The health state of DC-DC power supply is the key factor to determine whether the electronic equipment can operate normally. The failure and deterioration of the power supply system will lead to the collapse of the entire electronic system. The research in this paper is based on the long-term high temperature degradation test data of a certain type of DC-DC power supply. The degradation law of power supply is studied by data preprocessing and noise reduction of sensitive parameters such as input current, output current, input voltage and output voltage. On this basis, we use the method of deep learning to model the efficiency of power supply in the process of degradation test. The experimental results show that the efficiency time series modeling of power supply degradation using LSTM method can effectively reflect the law of power supply efficiency degradation. Based on the DC-DC power health management technology combining degradation test and deep learning, the advanced fault prediction model is used to reflect the change law of power supply in the real degradation process. This method has certain theoretical and engineering value for power PHM modeling and application.
Analysis on vibration response of bearing coupling faults in rotor-bearing system
Authors: Gong Xiaoyun , Li Chao , Zhi Zeheng , Du Wenliao 
Published: December 2021

Abstract
It is well known that the coupled fault diagnosis of rotating machinery is a challenging task, which is mainly due to the complexity of the vibration signals and the interaction of multiple fault components. In order to study the coupling vibration characteristics from unbalance and bearing fault in rotor-bearing system, A dynamic model of the coupled fault is performed to explore the phenomena of multi-fault in the rotor-bearing system in this paper. An experimental study, including seven working conditions, is also examined to further indicate the vibration response of coupling fault with unbalance and bearing fault. The influence of the rotor unbalance on the bearing vibration characteristics and the vibration rules of the coupling fault are proposed in this paper.
Investigation on failure mechanism of electrical connectors under repetitive mechanical insertion and withdrawal operations
Authors: Meng Yuan , Ren Wanbin 
Published: December 2021

Abstract
Electrical connector is an essential accessory component for electrical and electronic interconnection circuit. In order to investigate the degradation behavior of electrical connector, a series of repetitive mechanical insertion and withdrawal operations of electrical connector have been carried out. The results indicate that there is an increasing trend in insertion/extraction force in the initial stage. Afterwards, it becomes a gradually decreasing trend attributed to the mechanical wear of the contact components. In addition, the oxidative wear of substrate copper alloy material causes the fluctuation phenomenon of contact resistance. The relevant mathematic models for insertion/extraction force and contact resistance calculation are presented to research the dynamic insertion/extraction process. Finally, the degradation behavior and associated physical mechanisms are proposed by analysing the laser confocal photographs and parameter waveforms comparison.
An integrated condition monitoring method for rolling element bearings based on perceptual vibration hashing and SOM
Authors: Yan Shiwei , Liu Haining , Li Fajia , Cui Huanyong 
Published: December 2021

Abstract
Rolling element bearings are widely used in rotating machinery. Bearing faults will result in damage to property. So, the condition monitoring of bearings is of great significance, but few methods can achieve both degradation assessment and fault diagnosis. In this paper, an integrated condition monitoring method for rolling element bearings based on perceptual vibration hashing (PVH) and self-organizing maps (SOM) is proposed. Distance matric based on PVH is used as a health indicator for degradation assessment, in which the baseline of healthy state is selected based on the clustering centre of SOM instead of experience. When the value of health indicator exceeds the pre-set threshold, visualized fault diagnosis can also be achieved by training the SOM network. The effectiveness of the developed method is verified with the vibration data from accelerated degradation tests of rolling element bearings.
Development of sliding contact resistance testing equipment for carbon brush confluence ring
Authors: Feng Daozhuo , Liang Bin , Zhong Fangyao , Zhou Yilin 
Published: December 2021

Abstract
A carbon brush and a confluence ring form a pair of sliding electrical contacts. To reduce the contact resistance between the carbon brush and the confluence ring, the time for the running-in wear of the carbon brush increased during the machining process to increase the actual contact area. As a result, the welding and ablation failure between the carbon brush and the confluence ring happened under the impact of high current during service. To explore the effect of carbon brush wear on sliding electrical contact performance, it is necessary to monitor the dynamic contact resistance of the carbon brush and the confluence ring. In this paper, a set of 8-channel contact resistance testing equipment is developed. The device uses a relay array to achieve 1-8 channel gating and uses a data acquisition card to detect the contact resistance of each carbon brush and confluence ring pair combining with a four-point method. Based on the Labview software, it realizes the selection of acquisition channels, data acquisition card driving, real-time data processing, displaying, and storage. The range of contact resistance that this set of equipment can detect is 10mΩ ∼2Ω, and the accuracy can reach 1% of the full scale. Finally, the simulation experiments show that the testing equipment meets the technical requirements, and the continuous test runs stably and reliably. It can be used for the testing and research of the sliding contact resistance between the carbon brush and the confluence ring during the running-in wear process.
Simulation and experimental investigation of contact spot temperature for electrical contact components
Authors: Zhang Chao , Zhao Zien , Ren Wanbin 
Published: December 2021

Abstract
The contact spot temperature of electrical contact components substantially affects the reliability and electrical life of any electrical connections within the electrical engineering. In this paper, finite element model of typical spring structure components is built by using COMSOL Multiphysics software. Furthermore, the transient process of contact temperature is simulated by taking account of film resistance on the contact surface. Moreover, a test rig is introduced that makes it possible to measure the electrical contact resistance and temperature within the electrical contact components simultaneously. Finally, correlation between contact resistance and contact spot temperature with different contact force and current levels are investigated explicitly.
3MCor: an integrative web server for metabolome–microbiome-metadata correlation analysis
Authors: Sun Tao , Li Mengci , Yu Xiangtian , Liang Dandan , Xie Guoxiang , Sang Chao , Jia Wei , Chen Tianlu 
Published: December 2021

Abstract

Motivation
The metabolome and microbiome disorders are highly associated with human health, and there are great demands for dual-omics interaction analysis. Here, we designed and developed an integrative platform, 3MCor, for metabolome and microbiome correlation analysis under the instruction of phenotype and with the consideration of confounders.

Results
Many traditional and novel correlation analysis methods were integrated for intra- and inter-correlation analysis. Three inter-correlation pipelines are provided for global, hierarchical and pairwise analysis. The incorporated network analysis function is conducive to rapid identification of network clusters and key nodes from a complicated correlation network. Complete numerical results (csv files) and rich figures (pdf files) will be generated in minutes. To our knowledge, 3MCor is the first platform developed specifically for the correlation analysis of metabolome and microbiome. Its functions were compared with corresponding modules of existing omics data analysis platforms. A real-world dataset was used to demonstrate its simple and flexible operation, comprehensive outputs and distinctive contribution to dual-omics studies.

Availabilityand implementation
3MCor is available at http://3mcor.cn and the backend R script is available at https://github.com/chentianlu/3MCorServer.

Supplementary information
Supplementary data are available at Bioinformatics online.
No one tool to rule them all: prokaryotic gene prediction tool annotations are highly dependent on the organism of study
Authors: Dimonaco Nicholas J , Aubrey Wayne , Kenobi Kim , Clare Amanda , Creevey Christopher J 
Published: December 2021

Abstract

Motivation
The biases in CoDing Sequence (CDS) prediction tools, which have been based on historic genomic annotations from model organisms, impact our understanding of novel genomes and metagenomes. This hinders the discovery of new genomic information as it results in predictions being biased towards existing knowledge. To date, users have lacked a systematic and replicable approach to identify the strengths and weaknesses of any CDS prediction tool and allow them to choose the right tool for their analysis.

Results
We present an evaluation framework (ORForise) based on a comprehensive set of 12 primary and 60 secondary metrics that facilitate the assessment of the performance of CDS prediction tools. This makes it possible to identify which performs better for specific use-cases. We use this to assess 15 ab initio- and model-based tools representing those most widely used (historically and currently) to generate the knowledge in genomic databases. We find that the performance of any tool is dependent on the genome being analysed, and no individual tool ranked as the most accurate across all genomes or metrics analysed. Even the top-ranked tools produced conflicting gene collections, which could not be resolved by aggregation. The ORForise evaluation framework provides users with a replicable, data-led approach to make informed tool choices for novel genome annotations and for refining historical annotations.

Availability and implementation
Code and datasets for reproduction and customisation are available at https://github.com/NickJD/ORForise.

Supplementary information
Supplementary data are available at Bioinformatics online.
Human Rights and Systemic Wrongs: National Preventive Mechanisms and the Monitoring of Care Homes for Older People
Authors: Hardwick Nick , Marriott Jane , Mason Karl , Steinbrecher Marie 
Published: December 2021

Abstract
Care homes for older people may become places of deprivation of liberty due to their residents’ lack of capacity to consent to their stay. The Optional Protocol to the Convention Against Torture requires States Parties to establish National Preventive Mechanisms to undertake visits to all places of deprivation of liberty to prevent torture and other ill treatment. This paper discusses the ways in which National Preventive Mechanisms report on human rights concerns in older people’s care homes across 26 Council of Europe states. A framework established by the European Committee for the Prevention of Torture provides a starting point for this analysis. Common themes around restraint, ill treatment, safeguards for involuntary placements, and resourcing issues emerge. Against a backdrop of concerns heightened by the Covid-19 pandemic, the paper concludes that a narrow focus on individual human rights needs to be supplemented by addressing the structural issues on which the more broadly conceived rights of residents of care homes for older people depend.
Honey Bees (Apis mellifera Hymenoptera: Apidae) Preferentially Avoid Sugar Solutions Supplemented with Field-Relevant Concentrations of Hydrogen Peroxide Despite High Tolerance Limits
Authors: Bartlett Lewis J , Martinez-Mejia Carlos , Delaplane Keith S 
Published: December 2021

Abstract
Honey bees (Apis mellifera L. Hymeoptera: Apidae) use hydrogen peroxide (synthesized by excreted glucose oxidase) as an important component of social immunity. However, both tolerance of hydrogen peroxide and the production of glucose oxidase in honey is costly. Hydrogen peroxide may also be encountered by honey bees at high concentrations in nectar while foraging, however despite its presence both in their foraged and stored foods, it is unclear if and how bees monitor concentrations of, and their behavioral responses to, hydrogen peroxide. The costs of glucose oxidase production and the presence of hydrogen peroxide in both nectar and honey suggest hypotheses that honey bees preferentially forage on hydrogen peroxide supplemented feed syrups at certain concentrations, and avoid feed syrups supplemented with hydrogen peroxide at concentrations above some tolerance threshold. We test these hypotheses and find that, counter to expectation, honey bees avoid glucose solutions supplemented with field-relevant hydrogen peroxide concentrations and either avoid or don’t differentiate supplemented sucrose solutions when given choice assays. This is despite honey bees showing high tolerance for hydrogen peroxide in feed solutions, with no elevated mortality until concentrations of hydrogen peroxide exceed 1% (v/v) in solution, with survival apparent even at concentrations up to 10%. The behavioral interaction of honey bees with hydrogen peroxide during both within-colony synthesis in honey and when foraging on nectar therefore likely relies on interactions with other indicator molecules, and maybe constrained evolutionarily in its plasticity, representing a constitutive immune mechanism.
Strategies of Dictatorship and Military Disloyalty during Anti-Authoritarian Protests: Explaining Defections and Coups
Authors: Neu Kara Kingma 
Published: December 2021

AbstractMilitaries often respond to major anti-authoritarian protests with disloyalty. While militaries may defect, refusing to support the dictator, they may also seize power. Defections and coups are distinct forms of disloyalty with important implications for regime change and democratization. The existing scholarship on defections tends to aggregate them, while that on coups does not explain why, during protests, a military seizes power rather than defects. In this article, I draw on these bodies of work as well as new research on autocratic civil–military relations to argue that the strategies dictators use vis-à-vis their militaries to consolidate and secure their personal power affect military disposition and ability for disloyalty in different ways that matter for the likelihood of the two behaviors. Dictators who civilianize their regimes undermine their power-sharing agreements with the military, increasing the likelihood of coups. Dictators who personalize their security apparatuses generate military grievances, including by causing divisions, which reduces the ability of militaries to seize power and increases the likelihood of defections. I find support for this argument—for the relationship between dictator strategies and forms of military disloyalty during protests—using statistical analysis and case studies of civilianization and a 1991 coup during protests in Mali and personal control and a 1990 defection during protests in Benin.
Radiation affects glutathione redox reaction by reduced glutathione peroxidase activity in human fibroblasts
Authors: Shimura Tsutomu , Nakashiro Chinami , Fujiwara Kazusi , Shiga Rina , Sasatani Megumi , Kamiya Kenji , Ushiyama Akira 
Published: December 2021

Abstract
The glutathione (GSH) redox control is critical to maintain redox balance in the body’s internal environment, and its perturbation leads to a dramatic increase in reactive oxygen species (ROS) levels and oxidative stress which have negative impacts on human health. Although ionizing radiation increases mitochondrial ROS generation, the mechanisms underlying radiation-induced late ROS accumulation are not fully understood. Here we investigated the radiation effect on GSH redox reactions in normal human diploid lung fibroblasts TIG-3 and MRC-5. Superoxide anion probe MitoSOX-red staining and measurement of GSH peroxidase (GPx) activity revealed that high dose single-radiation (SR) exposure (10 Gy) increased mitochondrial ROS generation and overall oxidative stress in parallel with decrease in GSH peroxidase (GPx) activity, while GSH redox control was effective after exposure to moderate doses under standard serum conditions. We used different serum conditions to elucidate the role of serum on GSH redox reaction. Serum starvation, serum deprivation and DNA damage response (DDR) inhibitors-treatment reduced the GPx activity and increased mitochondrial ROS generation regardless of radiation exposure. Fractionated-radiation was used to evaluate the radiation effect on GSH reactions. Repeated fractionated-radiation induced prolonged oxidative stress by down-regulation of GPx activity. In conclusion, radiation affects GSH usage according to radiation dose, irradiation methods and serum concentration. Radiation affected the GPx activity to disrupt fibroblast redox homeostasis.