bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quiescent cells actively replenish CENP-A nucleosomes to maintain centromere identity and proliferative potential
Authors: Swartz S. Zachary , McKay Liliana S. , Su Kuan-Chung , Padeganeh Abbas , Maddox Paul S. , Knouse Kristin A. , Cheeseman Iain M. 
Published: October 2018

SummaryCentromeres provide a robust model for epigenetic inheritance as they are specified by sequence-independent mechanisms involving the histone H3-variant CENP-A. Prevailing models indicate that the high intrinsic stability of CENP-A nucleosomes maintains centromere identity indefinitely. Here, we demonstrate that CENP-A is not stable at centromeres, but is instead gradually and continuously incorporated in quiescent cells including G0-arrested tissue culture cells and prophase I-arrested oocytes. Quiescent CENP-A incorporation involves the canonical CENP-A deposition machinery, but displays distinct requirements from cell cycle-dependent deposition. We demonstrate that Plk1 is required specifically for G1 CENP-A deposition, whereas transcription promotes CENP-A incorporation in quiescent oocytes. Preventing CENP-A deposition during quiescence results in significantly reduced CENP-A levels and perturbs chromosome segregation following the resumption of cell division. In contrast to quiescent cells, terminally differentiated cells fail to maintain CENP-A levels. Our work reveals that quiescent cells actively maintain centromere identity providing an indicator of proliferative potential.
Cloning and functional characterization of Komagataella phaffii centromeres by a color-based plasmid stability assay
Authors: Piva Luiza Cesca , De Marco Janice Lisboa , de Moraes Lidia Maria Pepe , Branco Reis Viviane Castelo , Gonçalves Torres Fernando Araripe 
Published: October 2018

AbstractThe yeast Komagataella phaffii is widely used as a microbial host for heterologous protein production. However, molecular tools for this yeast are basically restricted to a few integrative and replicative plasmids. Four sequences that have recently been proposed as the K. phaffii centromeres could be used to develop a new class of mitotically stable vectors. In this work we designed a color-based genetic assay to investigate genetic stability in K. phaffii. Plasmids bearing K. phaffii centromeres and the ADE3 marker were evaluated in terms of mitotic stability in an ade2/ade3 auxotrophic strain which allows plasmid screening through colony color. Plasmid copy number was verified through qPCR. Our results confirmed that the centromeric plasmids were maintained at low copy number as a result of typical chromosome-like segregation during cell division. These features, combined with high transformation efficiency and in vivo assembly possibilities, prompt these plasmids as a new addition to the K. phaffii genetic toolbox.
Rubsicolins are naturally occurring G-protein-biased delta opioid receptor peptides
Authors: Cassell Robert J. , Mores Kendall L. , Zerfas Breanna L. , H. Mahmoud Amr , Lill Markus A. , Trader Darci J. , van Rijn Richard M. 
Published: October 2018

AbstractThe impact that β-arrestin proteins have on G-protein-coupled receptor trafficking, signaling and physiological behavior has gained much appreciation over the past decade. A number of studies have attributed the side effects associated with the use of naturally occurring and synthetic opioids, such as respiratory depression and constipation, to excessive recruitment of β-arrestin. These findings have led to the development of biased opioid small molecule agonists that do not recruit β-arrestin, activating only the canonical G-protein pathway. Similar G-protein biased small molecule opioids have been found to occur in nature, particularly within kratom, and opioids within salvia have served as a template for the synthesis of other G-protein-biased opioids. Here, we present the first report of naturally occurring peptides that selectively activate G-protein signaling pathways with minimal β-arrestin recruitment. We find that rubiscolin peptides, which are produced as cleavage products of the plant protein rubisco, bind to and activate G-protein signaling at δ opioid receptors. However, unlike the naturally occurring δ opioid peptides leu-enkephalin and deltorphin II, the rubiscolin peptides only very weakly recruit β-arrestin 2 and have undectable recruitment of β-arrestin 1 at the δ opioid receptor.
A multiple rule-based genetic algorithm for cost-oriented stochastic assembly line balancing problem
Authors: Foroughi Ahad , Gökçen Hadi 
Published: October 2018

Purpose
This research aims to address the cost-oriented stochastic assembly line balancing problem (ALBP) and propose a chance-constrained programming model.

Design/methodology/approach
The cost-oriented stochastic ALBP is solved for small- to medium-sized problems. Owing to the non-deterministic polynomial-time (NP)-hardness problem, a multiple rule-based genetic algorithm (GA) is proposed for large-scale problems.

Findings
The experimental results show that the proposed GA has superior performance and efficiency compared to the global optimum solutions obtained by the IBM ILOG CPLEX optimization software.

Originality/value
To the best of the authors’ knowledge, only one study has discussed the cost-oriented stochastic ALBP using the new concept of cost. Owing to the NP-hard nature of the problem, it was necessary to develop a heuristic or meta-heuristic algorithm for large data sets; this research paper contributes to filling this gap.
Dynamic modeling and controller design for SEA joints
Authors: Ni Fenglei , Li Tianhui , Liu Yiwei , Liu Hong , Li Yang , Zhao Liangliang , Chen Zhaopeng 
Published: October 2018

Purpose
The purpose of this paper is to study the dynamic modeling and controller design for the series element actuator (SEA) joints. The robot equipped with SEA joints is a strong coupling, nonlinear, highly flexible system, which can prevent itself from damaging by the accidental impact and the people to be injured by the robot.

Design/methodology/approach
Based on the torque source model, the authors built a dynamic model for the SEA joint. To improve the accuracy of this model, the authors designed an elastic element into the joint and implemented the vector control for the joint motor. A control method of combined PD controller and back-stepping was proposed. Moreover, the torque control could be transformed into position control by stiffness transformation.

Findings
The established model and the proposed method are verified by the position and torque control experiments. The experimental results show that the dynamic model of the SEA joint is accurate and the proposed control strategies for the SEA joint are reasonable and feasible.

Originality/value
The main contribution of the paper is as follows: designing an elastic element with high linearity to improve the model accuracy of the SEA joint. The control strategy-based back-stepping method for the SEA joint is proposed to increase the robustness of the controller.
Effective corrosion inhibition of mild steel in acidic medium using inexpensive kermes natural dye: experimental and quantum chemical study
Authors: El Boraei Nobl F. , Halim Shimaa Abdel , Ibrahim Magdy A.M. 
Published: October 2018

PurposeThe purpose of this paper is to test the Natural Kermes dye (NKD) as a cheap and stable corrosion inhibitor for mild steel in 1.0 M HCl and its adsorption mechanism on the steel surface.Design/methodology/approachThe inhibition action of NKD was studied using AC impedance, potentiodynamic polarization, scanning electron microscope (SEM) and UV-visible spectra techniques complemented with quantum study.FindingsHere, the authors show that addition of NKD inhibits effectively the corrosion of steel in HCl solution via its adsorption on the steel surface. The inhibition efficiency of NKD increases with increase in its concentration and decreases with temperature. Potentiodynamic results revealed that NKD acts as a mixed–type inhibitor. Thermodynamic parameters for corrosion and adsorption process were obtained from the experimental data. Moreover, the experimental inhibition efficiencies were correlated with the electronic properties of NKD using density functional theory.Originality/valueTo the best of the authors’ knowledge, this is the first report showing the effect of NKD on the corrosion inhibition of steel.
Comparing fluid ring and CMG servomechanisms for active control of rigid satellites
Authors: Akbaritabar Saleh , Esmaelzadeh Reza , Zardashti Reza 
Published: October 2018

Purpose
This paper aims to describe a novel type of attitude control system (ACS) in different configurations. This servomechanism is compared with control moment gyro (CMG) in significant parameters of performance for ACS of rigid satellite.

Design/methodology/approach
This new actuator is the fluid containing one or more rings and fluid flow is supplied by pump. The required torque control is obtained by managing fluid angular velocity. The cube-shaped satellite with three rings of fluid in the principle axes is considered for modeling. The satellite is considered rigid and nonlinear dynamics equation is used for it. In addition, the failure of the pyramid-shaped satellite with an additional ring fluid is discussed.

Findings
The controller model for four fluid rings has more complexity than for three fluid rings. The simulation results illustrated that four fluid rings need less energy for stabilization than three fluid rings. The performance of this type of actuator is compared with CMG. At last, it is demonstrated that performance parameters are improved with fluid ring actuator.

Research limitations/implications
Fluid ring actuator can be affected by environmental pressure and temperature. Therefore, freezing and boiling temperature of the fluid should be considered in system designation.

Practical implications
Fluid ring servomechanism can be used as ACS in rigid satellites. This actuator is compared by CMG, the prevalent actuator. It has less displacement attitude maneuver.

Originality/value
The results provide the feasibility and advantages of using fluid rings as satellite ACS. The quaternion error controller is used for this model to enhance its performance.
Neural network based redesign of morphing UAV for simultaneous improvement of roll stability and maximum lift/drag ratio
Authors: Oktay Tugrul , Arik Seda , Turkmen Ilke , Uzun Metin , Celik Harun 
Published: October 2018

Purpose
The aim of this paper is to redesign of morphing unmanned aerial vehicle (UAV) using neural network for simultaneous improvement of roll stability coefficient and maximum lift/drag ratio.

Design/methodology/approach
Redesign of a morphing our UAV manufactured in Faculty of Aeronautics and Astronautics, Erciyes University is performed with using artificial intelligence techniques. For this purpose, an objective function based on artificial neural network (ANN) is obtained to get optimum values of roll stability coefficient (Clβ) and maximum lift/drag ratio (Emax). The aim here is to save time and obtain satisfactory errors in the optimization process in which the ANN trained with the selected data is used as the objective function. First, dihedral angle (φ) and taper ratio (λ) are selected as input parameters, C*lβ and Emax are selected as output parameters for ANN. Then, ANN is trained with selected input and output data sets. Training of the ANN is possible by adjusting ANN weights. Here, ANN weights are adjusted with artificial bee colony (ABC) algorithm. After adjusting process, the objective function based on ANN is optimized with ABC algorithm to get better Clβ and Emax, i.e. the ABC algorithm is used for two different purposes.

Findings
By using artificial intelligence methods for redesigning of morphing UAV, the objective function consisting of C*lβ and Emax is maximized.

Research limitations/implications
It takes quite a long time for Emax data to be obtained realistically by using the computational fluid dynamics approach.

Practical implications
Neural network incorporation with the optimization method idea is beneficial for improving Clβ and Emax. By using this approach, low cost, time saving and practicality in applications are achieved.

Social implications
This method based on artificial intelligence methods can be useful for better aircraft design and production.

Originality/value
It is creating a novel method in order to redesign of morphing UAV and improving UAV performance.
Developing a taxonomy of transportation waste in construction production processes
Authors: Pérez Cristina Toca , Costa Dayana 
Published: October 2018

Purpose
The purpose of this paper is to present a taxonomy of transportation waste in construction production processes based on lean construction (LC) principles.

Design/methodology/approach
The research methodology used is case study and the main stages for the identification of the transportation waste in two construction projects were: mapping physical flows; measurement of transportation time; and monitoring of transportation waste events; assessment of the taxonomy.

Findings
The main contribution of this paper is the proposition of a taxonomy of transportation waste in construction production processes through the understanding of the transportation waste causes and consequences.

Research limitations/implications
Although the literature reviewed addresses sources from different parts of the world, the case studies performed are limited to one country, Brazil. However, the studies were carried out in two different construction sites separated by more than 3,000 km.

Practical implications
All data collected during the taxonomy application can be organized in order to develop an improvement plan. Moreover, if data collected is disseminated, there is the potential to increase the efficiency and effectiveness of the construction sector.

Social implications
Although the paper does not explore in depth the impact of the study on society or policy, the theme of waste minimization is focused on cost reduction, and one way to do that is through the flow management for waste minimization.

Originality/value
The paper discusses the concept of transportation waste of production in construction based on LC philosophy, through the understanding of its causes and consequences.
Social production of disasters and disaster social constructs
Authors: Sun Lei , Faas A.J. 
Published: October 2018

PurposeThe purpose of this paper is to determine whether it is useful to tease apart the intimately related propositions of social production and social construction to guide thinking in the multidisciplinary study of disasters.Design/methodology/approachThe authors address our question by reviewing literature on disasters in the social sciences to disambiguate the concepts of social production and social construction.FindingsThe authors have found that entertaining the distinction between social production and social construct can inform both thinking and action on disasters by facilitating critical exercises in reframing that facilitate dialog across difference. The authors present a series of arguments on the social production and construction of disaster and advocate putting these constructs in dialog with vulnerability frameworks of the social production of disasters.Originality/valueThis commentary contributes to disambiguating important theoretical and practical concepts in disaster studies. The reframing approach can inform both research and more inclusive disaster management and risk reduction efforts.
Value in vehicles: economic assessment of automotive data
Authors: Soley Alexander M. , Siegel Joshua E. , Suo Dajiang , Sarma Sanjay E. 
Published: October 2018

PurposeThe purpose of this paper is to develop a model to estimate the value of information generated by and stored within vehicles to help people, businesses and researchers.Design/methodology/approachThe authors provide a taxonomy for data within connected vehicles, as well as for actors that value such data. The authors create a monetary value model for different data generation scenarios from the perspective of multiple actors.FindingsActors value data differently depending on whether the information is kept within the vehicle or on peripheral devices. The model shows the US connected vehicle data market is worth between US$11.6bn and US$92.6bn.Research limitations/implicationsThis model estimates the value of vehicle data, but a lack of academic references for individual inputs makes finding reliable inputs difficult. The model performance is limited by the accuracy of the authors’ assumptions.Practical implicationsThe proposed model demonstrates that connected vehicle data has higher value than people and companies are aware of, and therefore we must secure these data and establish comprehensive rules pertaining to data ownership and stewardship.Social implicationsEstimating the value of data of vehicle data will help companies understand the importance of responsible data stewardship, as well as drive individuals to become more responsible digital citizens.Originality/valueThis is the first paper to propose a model for computing the monetary value of connected vehicle data, as well as the first paper to provide an estimate of this value.
Challenges and drivers for data mining in the AEC sector
Authors: Ahmed Vian , Aziz Zeeshan , Tezel Algan , Riaz Zainab 
Published: October 2018

Purpose
The purpose of this paper is to explore the current challenges and drivers for data mining in the AEC sector.

Design/methodology/approach
Following a comprehensive literature review, the data mining concept was investigated through a workshop with industry experts and academics.

Findings
The results showed that the key drivers for using data mining within the AEC sector is associated with the sustainability, process improvement, market intelligence, cost certainty and cost reduction, performance certainty and decision support systems agendas in the sector. As for the processes with the greatest potential for data mining application, design, construction, procurement, forensic analysis, sustainability and energy consumption and reuse of digital components were perceived as the main process areas. While the key challenges were perceived as being, data issues due to the fragmented nature of the construction process, the need for a cultural change, IT systems used in silos, skills requirements and having clearly defined business goals.

Originality/value
With the increasing abundance of data, business intelligence and analytics and its related concepts, data mining and Big Data have captured the attention of practitioners and academics for the last 20 years. On the other hand, and despite the growing amount of data in its business context, the AEC sector still lags behind in utilising those concepts in its end products and daily operations with limited research conducted to explore those issues at the sector level. This paper investigates the main opportunities and barriers for data mining in the AEC sector with a practical focus.
An axiological measure of entrepreneurial cognition
Authors: Hurst Clifford G. 
Published: October 2018

PurposeThe purpose of this paper is to expand the recent lines of inquiry into entrepreneurial cognition by focusing on the structure of values as an important aspect of cognition. Value theory, or axiology, posits that the capacity to value and to make value judgments is a distinctly human function – one that is a higher order process than is pure cognition alone.Design/methodology/approachThis study is designed as a quantitative discovery. A well-established assessment instrument from the field of value science is used to measure deep-seated, evaluative thought patterns for a sample of founders of early stage startups and a comparative sample of senior managers. Value structures underlying cognition for individuals across these samples are compared to reveal both similarities and differences between the groups.FindingsThis study identifies a cognitive process underlying opportunity recognition, evaluation and exploitation, known as integration. This study finds that entrepreneurs have stronger capacities for integrative thinking than do managers. In contrast to other published research, this study finds that early stage entrepreneurs are not characterized by hubris, an inflated sense of self-efficacy, nor an exceptional capacity for action.Originality/valueThis paper extends the study of entrepreneurial cognition by applying an empirical measure of the foundational levels of cognition. It reveals heretofore unarticulated differences, as well as similarities, between entrepreneurs and managers.
Family dynamics and gender perspective influencing copreneurship practices
Authors: Franco Mário , Piceti Patricia 
Published: October 2018

PurposeThe purpose of this paper is to understand the family dynamics factors and gender roles influencing the functioning of copreneurial business practices, to propose a conceptual framework based on these factors/roles.Design/methodology/approachFor this purpose, a qualitative approach was adopted, through the analysis of seven businesses created by copreneurial couples in an emerging economy – Brazil. Data were obtained from an open interview with each member of the selected couples who are in charge of firm management.FindingsThe empirical evidence obtained shows that the most important factors for successful copreneurial family businesses are professionalization, dividing the couple’s tasks and business management. Trust, communication, flexibility and common goals are other essential relational-based factors for the good functioning of this type of family business and stability in the personal relationship.Practical implicationsIt is clear that professionalization and the separation of positions and functions are fundamental for a balance between business management and the couple’s marital life. When couples are in harmony and considering factors such as trust, communication and flexibility (relational-based factors), the firm’s life-cycle and business success become real and more effective.Originality/valueFrom the family dynamics factors and gender roles, this study focused on one of the most important and integrated family firm relationships, copreneurial couples. As there is little research on the heterogeneity of family firms runs specifically by copreneurial couples, this study is particularly important and innovative in the context of a developing economy, such as Brazil. Based on empirical evidence, this study was proposed an integrative and holistic framework that shows the functioning of copreneurial businesses practices.