bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamics-driven allostery underlies pre-activation of the regulatory Ca2+-ATPase/phospholamban complex
Authors: Raguimova Olga N. , Aguayo-Ortiz Rodrigo , Robia Seth L. , Espinoza-Fonseca L. Michel 
Published: April 2020

ABSTRACTSarcoplasmic reticulum (SR) Ca2+-ATPase (SERCA) and phospholamban (PLB) are essential for intracellular Ca2+transport in myocytes. Ca2+-dependent activation of SERCA–PLB provides a rheostat function that regulates cytosolic and SR Ca2+levels. While experimental and computational studies alone have led to a greater insight into the mechanisms for SERCA–PLB regulation, the structural changes induced by Ca2+binding and how those are communicated to couple enzymatic activity with active transport remain poorly understood. Therefore, we have performed atomistic simulations totaling 32.7 μs and cell-based intramolecular fluorescence resonance energy transfer (FRET) experiments to determine structural changes of PLB-bound SERCA in response to Ca2+binding. Complementary simulations and experiments showed structural disorder underlies PLB inhibition of SERCA, and Ca2+binding is sufficient to shift the protein population toward a structurally ordered state of the complex. This structural transition results in a redistribution of structural states toward a partially closed conformation of SERCA’s cytosolic headpiece. Closure is accompanied by functional interactions between the N-domain β5-β6 loop and the A-domain. Regulation of these key structural elements indicate that Ca2+is a critical mediator of allosteric signaling that dictates structural changes and motions that pre-activate SERCA–PLB. These findings provide direct support that dynamically driven protein allostery underlies PLB regulation of SERCA. These functional insights at unprecedented spatiotemporal resolution suggest a general modular architecture mechanism for dynamic regulation of the SERCA–PLB complex. Understanding these mechanisms is of paramount importance to guide therapeutic modulation of SERCA and other evolutionarily related ion-motive ATPases.
Genome-wide identification and transcriptional analyses of MATE transporter genes in root tips of wildCicerspp. under aluminium stress
Authors: Zhang Xia , Weir Brayden , Wei Hongru , Deng Zhiwei , Zhang Xiaoqi , Zhang Yujuan , Xu Xuexin , Zhao Changxing , Berger Jens D. , Vance Wendy , Bell Richard , Jia Yong , Li Chengdao 
Published: April 2020

AbstractChickpea is an economically important legume crop with high nutritional value in human diets. Aluminium-toxicity poses a significant challenge for the yield improvement of this increasingly popular crop in acidic soils. The wild progenitors of chickpea may provide a more diverse gene pool for Al-tolerance in chickpea breeding. However, the genetic basis of Al-tolerance in chickpea and its wild relatives remains largely unknown. Here, we assessed the Al-tolerance of six selected wildCiceraccessions by measuring the root elongation in solution culture under control (0 µM Al3+) and Al-treatment (30 µM Al3+) conditions. Al-treatment significantly reduced the root elongation in all target lines compared to the control condition after 2-day’s growth. However, the relative reduction of root elongation in different lines varied greatly: 3 lines still retained significant root growth under Al-treatment, whilst another 2 lines displayed no root growth at all. We performed genome-wide identification of multidrug and toxic compound extrusion (MATE) encoding genes in theCicergenome. A total of 56 annotated MATE genes were identified, which divided into 4 major phylogeny groups (G1-4). Four homologues to lupinLaMATE(> 50% aa identity; namedCaMATE1-4) were clustered with previously characterised MATEs related to Al-tolerance in various other plants. qRT-PCR showed thatCaMATE2transcription in root tips was significantly up-regulated upon Al-treatment in all target lines, whilstCaMATE1was up-regulated in all lines except Bari2_074 and Deste_064, which coincided with the lines displaying no root growth under Al-treatment. Transcriptional profiling in fiveCicertissues revealed thatCaMATE1is specifically transcribed in the root tissue, further supporting its role in Al-detoxification in roots. This first identification of MATE-encoding genes associated with Al-tolerance inCicerpaves the ways for future functional characterization of MATE genes inCicerspp., and to facilitate future design of gene-specific markers for Al-tolerant line selection in chickpea breeding programs.
Asparagine accumulation in chicory storage roots is controlled by translocation and feedback regulation of asparagine biosynthesis in leaves
Authors: Soares Emanoella , Shumbe Leonard , Dauchot Nicholas , Notté Christine , Prouin Claire , Maudoux Olivier , Vanderschuren Hervé 
Published: April 2020

SummaryThe presence of acrylamide (AA), a potentially carcinogenic and neurotoxic compound, in food has become a major concern for public health. AA in plant-derived food mainly arises from the reaction of the amino acid asparagine (Asn) and reducing sugars during processing of foodstuffs at high temperature.Using a selection of genotypes from the chicory germplasm we performed Asn measurements in storage roots and leaves to identify genotypes contrasting for Asn accumulation. We combined molecular analysis and grafting experiments to show that leaf to root translocation controls asparagine biosynthesis and accumulation in chicory storage roots.We could demonstrate that Asn accumulation in storage roots depends on Asn biosynthesis and transport from the leaf, and that a negative feedback loop by Asn onCiASN1expression impacts Asn biosynthesis in leaves.Our results provide a new model for asparagine biosynthesis in root crop species and highlight the importance of characterizing and manipulating asparagine transport to reduce AA content in processed plant-based foodstuffs.
Climatically and culturally responsive typologies using mathematical permutation
Authors: Mushtaha Emad S. , Al-Zwaylif Samar , Ghalib Sarah 
Published: April 2020

PurposeThis research introduces a hypothesis for establishing typologies and patterns for architectural plans based on their climate, culture and orientation. The repetition and reproduction of spaces in architectural plans are rooted in mathematical equations. Factorial and permutation formulae are the type of equations used as scientific tools to define typology. In addition, a new perspective on culture and privacy in line with the Arabic house is included to illustrate the practicality of restricted plans according to cultural needs.Design/methodology/approachTo make the approach accessible, the theory is integrated into a software using C++ as the programming tool. Accordingly, all patterns and typologies are reproduced by inserting digits or numbers to simulate the process of using permutations and factorials for the creation of diagrammatic patterns and, subsequently, architectural plans.FindingsThe authors recommend that this method be integrated in future housing studies at earlier stages to obtain a high number of alternatives for architectural plans. The results of mathematical permutation of this study will help architects and designers to evolve their methods and processes through creating alternative patterns and culture (and climate)-specific typologies to provide more design possibilities.Originality/valueThis study is set to improve the adjacency diagram theory into the adjacency diagram with orientation theory, which accounts for the geographical orientation to obtain more comprehensive and climate-responsive patterns.
Two-way coupling of thin shell finite element magnetic models via an iterative subproblem method
Authors: Dang Vuong Quoc , Geuzaine Christophe 
Published: April 2020

Purpose
The purpose of this paper is to deal with the correction of the inaccuracies near edges and corners arising from thin shell models by means of an iterative finite element subproblem method. Classical thin shell approximations of conducting and/or magnetic regions replace the thin regions with impedance-type transmission conditions across surfaces, which introduce errors in the computation of the field distribution and Joule losses near edges and corners.

Design/methodology/approach
In the proposed approach local corrections around edges and corners are coupled to the thin shell models in an iterative procedure (each subproblem being influenced by the others), allowing to combine the efficiency of the thin shell approach with the accuracy of the full modelling of edge and corner effects.

Findings
The method is based on a thin shell solution in a complete problem, where conductive thin regions have been extracted and replaced by surfaces but strongly neglect errors on computation of the field distribution and Joule losses near edges and corners.

Research limitations/implications
This model is only limited to thin shell models by means of an iterative finite element subproblem method.

Originality/value
The developed method is considered to couple subproblems in two-way coupling correction, where each solution is influenced by all the others. This means that an iterative procedure between the subproblems must be required to obtain an accurate (convergence) solution that defines as a series of corrections.
Critical assessment of construction contract administration using fuzzy structural equation modeling
Authors: Gunduz Murat , Elsherbeny Hesham Ahmed 
Published: April 2020

PurposeThis paper covers the development of a multidimensional contract administration performance model (CAPM) for construction projects. The proposed CAPM is intended to be used by the industry stakeholders to measure the construction contract administration (CCA) performance and identify the strengths and weaknesses of the CCA system for running or completed projects.Design/methodology/approachThe research design follows a sequential mixed methodology of qualitative and quantitative data collection and analysis. In the first phase, contract administration indicators were collected from relevant literature. In the second phase, an online questionnaire was prepared, and data were collected and analyzed using the crisp value of fuzzy membership function, and structural equation modeling (SEM). The fuzzy set was chosen for this study due to the presence of uncertainty and fuzziness associated with the importance of several key indicators affecting the CCA performance. Finally, SEM was used to test and analyze interrelationships among constructs of CCA performance.FindingsThe data collected from 336 construction professionals worldwide through an online survey was utilized to develop the fuzzy structural equation model. The goodness-of-fit and reliability tests validated the model. The study concluded a significant correlation between CCA performance, CCA operational indicators, and the process groups.Originality/valueThe contribution of this paper to the existing knowledge is the development of a fuzzy structural equation model that serves as a measurement tool for the contract administration performance. This is the first quantitative structural equation model to capture contract administration performance. The model consists of 93 Construction Contract Administration(CCA) performance indicators categorized into 11 project management process groups namely: project governance and start-up; team management; communication and relationship management; quality and acceptance management; performance monitoring and reporting management; document and record management; financial management; changes and control management; claims and dispute resolution management; contract risk management and contract closeout management.
Incorporating aleatory and epistemic uncertainties in the modelling of construction duration
Authors: Ahmadu Hassan Adaviriku , Ibrahim Ahmed Doko , Ibrahim Yahaya Makarfi , Adogbo Kulomri Jipato 
Published: April 2020

PurposeThis study aims to develop a model which incorporates the impact of both aleatory and epistemic uncertainties into construction duration predictions, in a manner that is consistent with the nature/quality of information available about various factors which bring about uncertainties.Design/methodology/approachData relating to 178 completed Tertiary Education Trust Fund (TETfund) building construction projects were obtained from construction firms via questionnaire survey. Using 90% of the data, the model was developed in the form of a hybrid-based algorithm implemented through a suitable user-friendly graphical user interface (GUI) using MATLAB programming language. Bayesian model averaging, Monte Carlo simulation and fuzzy logic were the statistical methods used for the algorithm development, prior to its GUI implementation in MATLAB. Using the remaining 10% data, the model's predictive accuracy was assessed via the independent samples t-test and the mean absolute percentage error (MAPE).FindingsThe developed model's predictions were found not statistically different from those of actual duration estimates in the 10% test data, with a MAPE of just 2%. This suggests that the model's ability to incorporate both aleatory and epistemic uncertainties improves accuracy of duration predictions made using it.Research limitations/implicationsThe model was developed using a particular type of building projects (TETfund building construction projects), and so its use is limited to projects with characteristics similar to those used for its development.Practical implicationsThe developed model's predictions are expected to serve as a useful basis for consultancy firms and contractor organisations to make more realistic schedules and benchmark measures of construction period, thereby facilitating effective planning and successful execution of construction projects.Originality/valueThe study presented a model which permits combined manipulation of aleatory and epistemic uncertainties, hence ensuring a more realistic incorporation of uncertainty into construction duration predictions.
Developing curriculum for industry 4.0: digital workplaces
Authors: Brahma Mita , Tripathi Shiv S. , Sahay Arunaditya 
Published: April 2020

PurposeThe purpose of this paper is to introduce a framework used in a program for working executives, designed to prepare them for the digital workplace environment of industry 4.0.Design/methodology/approachThe paper adopts a case-based approach. It presents the current context about industry 4.0 and digitized workplaces. It then describes the case of designing the curriculum for a learning program on this theme, the responses received from participants and facilitators and conclusions that can be drawn from the responses.FindingsThe findings indicate that digital workplaces present challenges such as fragmentation of work, a resultant disconnect between team members, an uncertainty about assessment of efforts as well as assessment of output. Facilitation by coaches, extensive documentation, knowledge sharing, empathy and an alignment to shared goals mitigate these challenges to some extent. Facilitation also enables the participants to experience the true benefits of technology aided collaboration.Research limitations/implicationsThe participants in the program had an average work experience of two years, and a senior management view was not represented.Practical implicationsThe learning from the program would help in designing more such collaborative and immersive learning experiences.Social implicationsPrograms about virtualization and automation of work processes enable an appreciation of the inherent challenges and shortcomings and a fairer implementation of technologies at the workplace.Originality/valueThe program brought into the classroom an immersive experience of the evolving dynamics between employers, digital technologies and employees of contemporary workplaces.
The integral role of relationships in experiences of complex trauma in sex trafficking survivors
Authors: Evans Heather 
Published: April 2020

Purpose
Human sex trafficking is a global rights violation prevalent nationally and globally. This study aims to contribute to the limited research conducted directly with survivors with the goal of building sustainable aftercare from their feedback.

Design/methodology/approach
For this qualitative, retrospective study, 15 adult female survivors completed open-ended interviews, took photos and participated in online focus groups to explore identity, sexuality, relationships and factors of community reintegration. Data analysis included multi-level conceptual and thematic coding.

Findings
Participants identified with all aspects of complex trauma and domains of post-traumatic growth. Participants highlighted relationship development as the primary source of healing and growth, emphasizing the value of peer-based support and survivor leadership.

Research limitations/implications
The findings affirm the need for ecological and relational perspectives in care of survivors and approaches using a trauma-informed, victim-centered lens. Findings affirm the value of understanding the nuances of complex trauma as well as celebrating the capacity for post-traumatic growth. Furthermore, while relationships are most significantly impacted from the trafficking experience, they are also considered the greatest instrument of healing, offering long-term commitment and belief in the individual. This research excluded males and international trafficking survivors. Participants were recruited through service organizations, and many participants are active in advocacy work, which may hinder generalizable data for all trafficking survivors. Finally, this study did not distinguish data between geographic location or range or length of time since exiting trafficking.

Originality/value
This study highlights the voices of survivors throughout research design and data findings. Their lived experiences provide key recommendations for interaction and intervention. Data include rich expression through photography.
Application of theories in CSR research focusing study context and corporate attributes
Authors: Mehedi Sohel , Jalaludin Dayana 
Published: April 2020

PurposeThe purpose of this paper is to review the background of the theories, how they motivate corporations to engage in corporate social responsibility (CSR) activities and their application, focusing on the study context and corporate attributes.Design/methodology/approachThe study used Google Scholar as an online database and collected 170 published academic papers via a systematic search procedure; of these, 112 papers were selected as suitable for the study purpose. The selection followed the analysis of the abstract, the paper contents including the proposition of the theories, the literature review, the theoretical framework and the hypothesis development.FindingsThe study findings indicate that the cores of the proposed theories to explore CSR are not identical. The components of theories build a social value system, which intensely motivates corporations to engage in CSR activities and voluntary disclosure practices. A thorough analysis of the characteristics of the theories demonstrates that the choice of theories to explore both an endogenous variable like CSR and exogenous variables depends on the study context and the characteristics of the corporate attributes.Research limitations/implicationsThe study considers only the most prominent theories in CSR research, but many other theories are also explored in CSR research. In addition, the study takes only academic papers in the English language into consideration, and the generalization of study findings is only for CSR research.Practical implicationsThe study aims to provide guidance about the selection of theories based on the contexts and corporate attributes to explore both endogenous and exogenous variables. It draws policymakers’ attention toward the renovation and addition of motivational instruments in the context. The study also helps industry practitioners in realizing the principles and consequences of the theories and in taking strategic social and environmental obligations into consideration in their decision-making process.Originality/valueThis is the first attempt to conduct a literature review on the development of theories and corporate CSR engagement from 1975 to 2019, covering 112 published academic papers. A deeper understanding using theoretical conceptualization as guidance is beneficial, as it provides a strong basis for the enhancement of future CSR corporate activities.
Image-based control of delta parallel robots via enhanced LCM-CSM to track moving objects
Authors: Lopez-Lara J. Guillermo , Maya Mauro Eduardo , González Alejandro , Cardenas Antonio , Felix Liliana 
Published: April 2020

Purpose
The purpose of this paper is to present a new vision-based control method, which enables delta-type parallel robots to track and manipulate objects moving in arbitrary trajectories. This constitutes an enhanced variant of the linear camera model-camera space manipulation (LCM-CSM).

Design/methodology/approach
After obtaining the LCM-CSM view parameters, a moving target’s position and its velocity are estimated in camera space using Kalman filter. The robot is then commanded to reach the target. The proposed control strategy has been experimentally validated using a PARALLIX LKF-2040, an academic delta-type parallel platform and seven different target trajectories for which the positioning errors were recorded.

Findings
For objects that moved manually along a sawtooth, zigzag or increasing spiral trajectory with changing velocities, a maximum positioning error of 4.31 mm was found, whereas objects that moved on a conveyor belt at constant velocity ranging from 7 to 12 cm/s, average errors between 2.2-2.75 mm were obtained. For static objects, an average error of 1.48 mm was found. Without vision-based control, the experimental platform used has a static positioning accuracy of 3.17 mm.

Practical implications
The LCM-CSM method has a low computational cost and does not require calibration or computation of Jacobians. The new variant of LCM-CSM takes advantage of aforementioned characteristics and applies them to vision-based control of parallel robots interacting with moving objects.

Originality/value
A new variant of the LCM-CSM method, traditionally used only for static positioning of a robot’s end-effector, was applied to parallel robots enabling the manipulation of objects moving along unknown trajectories.
Deep instance segmentation and 6D object pose estimation in cluttered scenes for robotic autonomous grasping
Authors: Wu Yongxiang , Fu Yili , Wang Shuguo 
Published: April 2020

Purpose
This paper aims to design a deep neural network for object instance segmentation and six-dimensional (6D) pose estimation in cluttered scenes and apply the proposed method in real-world robotic autonomous grasping of household objects.

Design/methodology/approach
A novel deep learning method is proposed for instance segmentation and 6D pose estimation in cluttered scenes. An iterative pose refinement network is integrated with the main network to obtain more robust final pose estimation results for robotic applications. To train the network, a technique is presented to generate abundant annotated synthetic data consisting of RGB-D images and object masks in a fast manner without any hand-labeling. For robotic grasping, the offline grasp planning based on eigengrasp planner is performed and combined with the online object pose estimation.

Findings
The experiments on the standard pose benchmarking data sets showed that the method achieves better pose estimation and time efficiency performance than state-of-art methods with depth-based ICP refinement. The proposed method is also evaluated on a seven DOFs Kinova Jaco robot with an Intel Realsense RGB-D camera, the grasping results illustrated that the method is accurate and robust enough for real-world robotic applications.

Originality/value
A novel 6D pose estimation network based on the instance segmentation framework is proposed and a neural work-based iterative pose refinement module is integrated into the method. The proposed method exhibits satisfactory pose estimation and time efficiency for the robotic grasping.