bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on Contractual and Relational Governance Mechanism in Energy Performance Contracting Projects Based on Life Cycle
Authors: Pan Zhenni , Xia Chen , Tang Meian 
Published: December 2019

Abstract
In EPC projects, the cooperative performance between ESCO and the energy users is the result of the interaction of contractual governance and relational governance, and they are related closely in all transaction process of EPC projects. According to the particularity of EPC projects and life cycle theory, the life cycle of EPC projects is divided into three stages including pre-construction period, construction period, and operation period in this paper, and the three-dimensional evaluation index of EPC project performance is defined including energy saving quantity, energy saving quality and energy saving behavior. Then the contractual-relational compound governance model based on EPC project performance is performed when summarizing the functions of contractual governance and the factors of relational governance, and the contractual-relational compound governance strategies during the full life cycle of EPC projects are put forward.
Research on 3D Visualization Design of Industrial Production Management Software
Authors: Jiang Zhengqing , Xu Xiaohui 
Published: December 2019

Abstract
Affected by the wave of Industry 4.0, the Internet and IoT technologies are becoming more mature. However, when selecting industrial production management software, many companies still use traditional software management methods. This article describes a 3D visualization upgrade of enterprise implementation management software that describes and demonstrates the important role of 3D visualization throughout the production management process. In addition, this article studies the role of 3D visualization in the management software interface from the perspective of academic research, so as to achieve the purpose of improving the efficiency and operational efficiency of workshop management. And as a reference for industrial production enterprises in 3D visual design.
The Exploration and Application Research of Emerging Technologies in Material Management Business of Large Power Grid Enterprises
Authors: Zhang Yong , Jin Liu , Hao Shang 
Published: December 2019

Abstract
The new round of information technology revolution represented by big data, cloud computing, internet of things, artificial intelligence and mobile internet has created conditions for the application of operation and maintenance services in power grid enterprises. This paper analyzes the opportunities and challenges of the application of emerging technologies. This paper further explores the problems existing in the application of emerging technologies in the material management business, such as untimely information acquisition, low data quality, low intelligence level of screening and evaluation, etc., and puts forward the key points and directions of the application of emerging technologies in the material management business of power grid enterprises.
Assessment on the Effect of Polyethylene Terephthalate and Low-density Polyethylene Plastic Waste as an Additive in Bituminous Paving Mixes
Authors: Santos F D , Taguba Mam , Alzona A R 
Published: December 2019

Abstract
The continuous growth of the population also brings about an increase in traffic that traverse our roads. Due to this increase in the volume of traffic, pavements are subjected to more distress which can lead to its failure. Studies have been performed in order to address these issues on material properties. At present time, waste disposal has been a challenge for various industries. And of the wastes that are abundant in our surroundings, plastic is proving to be a major problem because it poses a major threat to the environment. As a possible solution to the growing problem of the disposal of plastic wastes as well as the constant pursuit to improve the properties of materials, recycling and incorporating plastic to construction materials has been explored in various studies. This study aims to assess the effects of Low-Density Polyethylene (LDPE) and Polyethylene Terephthalate (PET) as an additive to Hot Mix Asphalt (HMA) on the stability, flow and bulk specific gravity of the paving mix. A parametric study was conducted in order to investigate the effect of additive concentration (4%, 7% and 10% by weight of asphalt binder), particle size (2.36 mm, 4.57 mm, and 9.5 mm) and mixing temperature (145° C, 160 ° C, and 175 ° C) on the stability, flow and bulk specific gravity of Plastic Waste Bitumen Binder (PWBB). Results show that adding PET and LDPE as additive increases the stability by 36.82%, improves the flow by 22% and it also increases the bulk specific gravity by 2.36% compared to a traditional bituminous mixture.
Effect of Street Canyon Configurations and Orientations on Urban Wind Velocity in Bangkok Suburb Areas
Authors: Jareemit D , Srivanit M 
Published: December 2019

Abstract
Urban ventilation is considered as one parameter, which impacts on building energy consumption and outdoor living condition. This study primarily investigates the effect of street canyon characteristics as well as its orientations on wind pattern and velocity in street canyon via using urban microclimate simulation model, ENVI-met. The wind simulations are performed with four aspect ratios or height-to-width ratio (H/W), three canyon lengths, and four canyon orientations. Calculated wind velocity measured at 1.5 m height of the centre of the street and pedestrian on both sides of the street ranges from 0.2 to 0.97 m/s. N-S and NW-SE canyons, which oriented parallel to the prevailing wind has greater wind velocity than those oriented perpendicular to the wind. The wind velocity is sensitive to aspect ratio and canyon length. The wind velocity in shallow canyon is mostly higher than those in the deep canyon. However, increasing the canyon length considerably improves the low wind speed in the deep canyon up to twice.
Research on Evaluation Index of Energy Efficiency Design of Multi-level Sports Complex Based on Synergistic Effect
Authors: Guo Siwen , Mao Qiuju , Zou Jiamin 
Published: December 2019

Abstract
Transforming the single-storey large space of traditional sports buildings into vertical extension space of multi-level venues, the multi-level sports complex achieves efficient use of resources by introducing a combination of recreation and social functions. Analyzing the key design points of the cascade-type gymnasium based on relevant criteria and standards of evaluating sports buildings, this paper establishes a multi-layer evaluation system to achieve synergistic energy efficiency design. It also provides a reference for expanding the efficient design of sports complexes.
Scalable fabrication of organic solar cells based on non-fullerene acceptors
Authors: Gertsen Anders S , Castro Marcial Fernández , Søndergaard Roar R , Andreasen Jens W 
Published: December 2019

Abstract
Organic solar cells have recently experienced a substantial leap in power conversion efficiency, in part driven by formulations with new non-fullerene acceptors. This has brought the technology past the psychologically important mark of 15% efficiency for unscaled laboratory devices, and the results are stimulating another burst of research activity. Whether this will propel the technology into a viable commercial contender has yet to be determined, but to realize the potential of organic solar cells for utility scale application, fabrication using scalable processing techniques has to be demonstrated—otherwise, the passing of the 15% mark will eventually leave no more lasting impact than what the passing of the 10% mark did. Thus, addressing the scaling lag between the 15% cell efficiencies of lab-scale devices on rigid glass substrates fabricated using non-scalable techniques and the 7% efficiencies of scalably fabricated devices on flexible substrates is key. Here, we discuss the concept of scalability and give an account of the literature on non-fullerene acceptor devices fabricated with scalable methods and materials. On the basis of this, we identify three crucial focus points for overcoming the lab-to-fab challenge: (i) dual temperature control, i.e. simultaneous control of the ink and substrate temperatures during deposition, (ii) systematic in situ morphology studies of active layer inks with new, green solvent formulations during continuous deposition, and (iii) development of protocols for continuous solution processing of smooth, transparent interfacial layers with efficient charge transfer to the active layer. Combining these efforts and in general accompanying such studies with stability analyses and fabrication of large-area, scalably processed devices are believed to accelerate the relevance of organic solar cells for large-scale energy supply.
Nanoscale sensing based on nitrogen vacancy centers in single crystal diamond and nanodiamonds: achievements and challenges
Authors: Radtke M , Bernardi E , Slablab A , Nelz R , Neu E 
Published: December 2019

Abstract
Powered by the mutual developments in instrumentation, materials and theoretical descriptions, sensing and imaging capabilities of quantum emitters in solids have significantly increased in the past two decades. Quantum emitters in solids, whose properties resemble those of atoms and ions, provide alternative ways to probing natural and artificial nanoscopic systems with minimum disturbance and ultimate spatial resolution. Among those emerging quantum emitters, the nitrogen vacancy (NV) color center in diamond is an outstanding example due to its intrinsic properties at room temperature (highly-luminescent, photo-stable, biocompatible, highly-coherent spin states). This review article summarizes recent advances and achievements in using NV centers within nano- and single crystal diamonds in sensing and imaging. We also highlight prevalent challenges and material aspects for different types of diamond and outline the main parameters to consider when using color centers as sensors. As a novel sensing resource, we highlight the properties of NV centers as light emitting electrical dipoles and their coupling to other nanoscale dipoles e.g. graphene.
Investigating enhanced mass flow rates in pressure-driven liquid flows in nanotubes
Authors: Stamatiou Alexandros , Dadzie S Kokou , Reddy M H Lakshminarayana 
Published: December 2019

Abstract
Over the past two decades, several researchers have presented experimental data from pressure-driven liquid flows through nanotubes. They quote flow velocities which are four to five orders of magnitude higher than those predicted by the classical theory. Thus far, attempts to explain these enhanced mass flow rates at the nanoscale have focused mainly on introducing wall-slip boundary conditions on the fluid mass velocity. In this paper, we present a different theory. A change of variable on the velocity field within the classical Navier–Stokes equations is adopted to transform the equations into physically different equations. The resulting equations, termed re-casted Navier–Stokes equations, contain additional diffusion terms whose expressions depend upon the driving mechanism. The new equations are then solved for the pressure driven flow in a long nano-channel. Analogous to previous studies of gas flows in micro- and nano-channels, a perturbation expansion in the aspect ratio allows for the construction of a 2D analytical solution. In contrast to slip-flow models, this solution is specified by a no-slip boundary condition at the channel walls. The mass flow rate can be calculated explicitly and compared to available data. We conclude that the new re-casting methodology may provide an alternative theoretical physical explanation of the enhanced mass flow phenomena.
Adaptive group-regularized logistic elastic net regression
Authors: Münch Magnus M , Peeters Carel F W , Van Der Vaart Aad W , Van De Wiel Mark A 
Published: December 2019

SummaryIn high-dimensional data settings, additional information on the features is often available. Examples of such external information in omics research are: (i) $p$-values from a previous study and (ii) omics annotation. The inclusion of this information in the analysis may enhance classification performance and feature selection but is not straightforward. We propose a group-regularized (logistic) elastic net regression method, where each penalty parameter corresponds to a group of features based on the external information. The method, termed gren, makes use of the Bayesian formulation of logistic elastic net regression to estimate both the model and penalty parameters in an approximate empirical–variational Bayes framework. Simulations and applications to three cancer genomics studies and one Alzheimer metabolomics study show that, if the partitioning of the features is informative, classification performance, and feature selection are indeed enhanced.
Multilingual Research: Reflections on Translating Qualitative Data
Authors: Goitom Mary 
Published: December 2019

AbstractThe objective of this article is to examine translation dilemmas in cross-cultural qualitative research projects. In particular, I reflect on my experiences of conducting cross-language qualitative research and I examine how the translation techniques I have employed over the years shape the collection and interpretation of non-English to English qualitative data. Centred on the question ‘What aspects of participants’ representation are lost or foreclosed in this act, process and outcome of translating and how can this be mitigated?’, I discuss how the following coalesce to inform how this complex and multidimensional question is addressed: (i) the competencies, processes and outcomes of translating, (ii) the importance of situating data in its social context and (iii) how this shapes the representation of data. As well, this article discusses the implication of cross-cultural and cross-language studies on social work and presents three lessons learned from my experiences.
Interfering with long non-coding RNA MIR22HG processing inhibits glioblastoma progression through suppression of Wnt/β-catenin signalling
Authors: Han Mingzhi , Wang Shuai , Fritah Sabrina , Wang Xu , Zhou Wenjing , Yang Ning , Ni Shilei , Huang Bin , Chen Anjing , Li Gang , Miletic Hrvoje , Thorsen Frits , Bjerkvig Rolf , Li Xingang , Wang Jian 
Published: December 2019

AbstractLong non-coding RNAs play critical roles in tumour progression. Through analysis of publicly available genomic datasets, we found that MIR22HG, the host gene of microRNAs miR-22-3p and miR-22-5p, is ranked among the most dysregulated long non-coding RNAs in glioblastoma. The main purpose of this work was to determine the impact of MIR22HG on glioblastoma growth and invasion and to elucidate its mechanistic function. The MIR22HG/miR-22 axis was highly expressed in glioblastoma as well as in glioma stem-like cells compared to normal neural stem cells. In glioblastoma, increased expression of MIR22HG is associated with poor prognosis. Through a number of functional studies, we show that MIR22HG silencing inhibits the Wnt/β-catenin signalling pathway through loss of miR-22-3p and -5p. This leads to attenuated cell proliferation, invasion and in vivo tumour growth. We further show that two genes, SFRP2 and PCDH15, are direct targets of miR-22-3p and -5p and inhibit Wnt signalling in glioblastoma. Finally, based on the 3D structure of the pre-miR-22, we identified a specific small-molecule inhibitor, AC1L6JTK, that inhibits the enzyme Dicer to block processing of pre-miR-22 into mature miR-22. AC1L6JTK treatment caused an inhibition of tumour growth in vivo. Our findings show that MIR22HG is a critical inducer of the Wnt/β-catenin signalling pathway, and that its targeting may represent a novel therapeutic strategy in glioblastoma patients.
Epigenome-wide association of father’s smoking with offspring DNA methylation: a hypothesis-generating study
Authors: Mørkve Knudsen G T , Rezwan F I , Johannessen A , Skulstad S M , Bertelsen R J , Real F G , Krauss-Etschmann S , Patil V , Jarvis D , Arshad S H , Holloway J W , Svanes C 
Published: December 2019

AbstractEpidemiological studies suggest that father’s smoking might influence their future children’s health, but few studies have addressed whether paternal line effects might be related to altered DNA methylation patterns in the offspring. To investigate a potential association between fathers’ smoking exposures and offspring DNA methylation using epigenome-wide association studies. We used data from 195 males and females (11–54 years) participating in two population-based cohorts. DNA methylation was quantified in whole blood using Illumina Infinium MethylationEPIC Beadchip. Comb-p was used to analyse differentially methylated regions (DMRs). Robust multivariate linear models, adjusted for personal/maternal smoking and cell-type proportion, were used to analyse offspring differentially associated probes (DMPs) related to paternal smoking. In sensitivity analyses, we adjusted for socio-economic position and clustering by family. Adjustment for inflation was based on estimation of the empirical null distribution in BACON. Enrichment and pathway analyses were performed on genes annotated to cytosine-phosphate-guanine (CpG) sites using the gometh function in missMethyl. We identified six significant DMRs (Sidak-corrected P values: 0.0006–0.0173), associated with paternal smoking, annotated to genes involved in innate and adaptive immunity, fatty acid synthesis, development and function of neuronal systems and cellular processes. DMP analysis identified 33 CpGs [false discovery rate (FDR)  &lt; 0.05]. Following adjustment for genomic control (λ = 1.462), no DMPs remained epigenome-wide significant (FDR &lt; 0.05). This hypothesis-generating study found that fathers’ smoking was associated with differential methylation in their adolescent and adult offspring. Future studies are needed to explore the intriguing hypothesis that fathers’ exposures might persistently modify their future offspring’s epigenome.
Boomerang Kids and Parents’ Well-Being: Adaptation, Stressors, and Social Norms
Authors: Tosi Marco 
Published: December 2019

Abstract
Previous research has shown that living with an adult child affects the well-being of parents. However, little is known about parental adaptation to changes in living arrangements or about concomitant stressors that may moderate the effect of adult children returning to the parental home. Drawing on data from eight waves of the UK Household Longitudinal Study (2009–2017), I use distributed fixed effects linear regression models to analyse changes in parents’ symptoms of depression before, during, and after a child’s return to the parental home. The results show that parents experience an increase in symptoms of depression when a child returns home but recover to their previous levels of mental well-being in the subsequent year. Unemployed and low-income children returning home are associated with larger increases in parents’ symptoms of depression, whereas there are no effects with regard to union dissolution. These findings support the hypothesis that children returning home are more detrimental to older parents if it occurs in concomitance with an economic crisis in the child’s life. However, after a short-term decline in their well-being, parents are able to adapt to boomerang moves and accustom themselves to the new family dynamics.
Agricultural systems as potential sources of emerging human mycoses caused by Trichoderma: a successful, common phylotype of Trichoderma longibrachiatum in the frontline
Authors: Hatvani Lóránt , Homa Mónika , Chenthamara Komal , Cai Feng , Kocsubé Sándor , Atanasova Lea , Mlinaric-Missoni Emilija , Manikandan Palanisamy , Revathi Rajaraman , Dóczi Ilona , Bogáts Gábor , Narendran Venkatapathy , Büchner Rita , Vágvölgyi Csaba , Druzhinina Irina S , Kredics László 
Published: December 2019

ABSTRACT
Trichoderma species are abundant in different agricultural habitats, but some representatives of this genus, mainly clade Longibrachiatum members are also emerging as causative agents of various human diseases with even fatal outcome. Strains of these species frequently show resistance to commonly used azole antifungals. Based on previous data it is hypothesized that Trichoderma isolates identified in human infections derive from environmental—including agricultural—origins. We examined Trichoderma longibrachiatum Rifai and Trichoderma bissettii Sandoval-Denis & Guarro strains recovered from four novel cases of human mycoses, along with isolates from previous case reports and different agricultural habitats, using multilocus phylogenetic analysis, BIOLOG Phenotype Microarrays and Etest. Strains attributed to T. bissettii were more abundant in both clinical and agricultural specimens compared to T. longibrachiatum. The majority of the isolates of both taxa could tolerate &gt;256, &gt;32 and &gt;32 μg/ml fluconazole, itraconazole and posaconazole, respectively. None of the obtained results revealed characteristic differences between strains of clinical and agricultural origin, nor between the two taxa, supporting that agricultural environments may be significant sources of infections caused by these emerging human fungal pathogens. Furthermore, based on our findings we propose the re-classification of T. bissettii as T. longibrachiatum f. sp. bissettii.
Stress and ageing in yeast
Authors: Dawes Ian W , Perrone Gabriel G 
Published: December 2019

ABSTRACTThere has long been speculation about the role of various stresses in ageing. Some stresses have beneficial effects on ageing—dependent on duration and severity of the stress, others have negative effects and the question arises whether these negative effects are causative of ageing or the result of the ageing process. Cellular responses to many stresses are highly coordinated in a concerted way and hence there is a great deal of cross-talk between different stresses. Here the relevant aspects of the coordination of stress responses and the roles of different stresses on yeast cell ageing are discussed, together with the various functions that are involved. The cellular processes that are involved in alleviating the effects of stress on ageing are considered, together with the possible role of early stress events on subsequent ageing of cells.
Civil Money Penalty Enforcement Actions for Quality Deficiencies in Nursing Homes
Authors: Wang Xiaochuan , Gammonley Denise , Bender Felicia 
Published: December 2019

Abstract

Background and Objectives
Civil money penalties (CMP) are fines collected by CMS. A portion of these CMPs are redistributed to states for purposes including improving resident care and quality of life through reinvestment in quality improvement projects. This study examined state variation in civil money penalty enforcement actions for quality of life (QOL) and quality of care (QOC) deficiencies in nursing homes.

Research Design and Methods
2015–2016 cross-sectional CASPER nursing home survey data obtained from the CMS QCOR database were used to explore the pattern of enforcement actions for QOL and QOC deficiencies across states. Fixed effects regression models examined relationships between state-level characteristics, quality deficiencies, and enforcement actions imposed by states.

Results
State enforcement actions resulting in a CMP were more likely for QOC deficiencies (M = 0.143, SD = 0.097) than for QOL deficiencies (M = 0.070, SD = 0.056) and states exhibited variability in imposing enforcement actions. The presence of severe QOC deficiencies resulting in actual resident harm contributed to CMP enforcement actions for both QOL and QOC deficiencies. States with primarily for-profit status providers had more enforcement actions.

Discussion and Implications
The variability noted in state enforcement for quality deficiencies actions parallels inconsistencies in state regulatory oversight of nursing homes.