bluuebunny/crossref_metadata_2025_split huggingface dataset:
Current status and future opportunities for serial crystallography at MAX IV Laboratory
Authors: Shilova Anastasya , Lebrette Hugo , Aurelius Oskar , Nan Jie , Welin Martin , Kovacic Rebeka , Ghosh Swagatha , Safari Cecilia , Friel Ross J. , Milas Mirko , Matej Zdenek , Högbom Martin , Brändén Gisela , Kloos Marco , Shoeman Robert L. , Doak Bruce , Ursby Thomas , Håkansson Maria , Logan Derek T. , Mueller Uwe 
Published: August 2020

Over the last decade, serial crystallography, a method to collect complete diffraction datasets from a large number of microcrystals delivered and exposed to an X-ray beam in random orientations at room temperature, has been successfully implemented at X-ray free-electron lasers and synchrotron radiation facility beamlines. This development relies on a growing variety of sample presentation methods, including different fixed target supports, injection methods using gas-dynamic virtual-nozzle injectors and high-viscosity extrusion injectors, and acoustic levitation of droplets, each with unique requirements. In comparison with X-ray free-electron lasers, increased beam time availability makes synchrotron facilities very attractive to perform serial synchrotron X-ray crystallography (SSX) experiments. Within this work, the possibilities to perform SSX at BioMAX, the first macromolecular crystallography beamline at MAX IV Laboratory in Lund, Sweden, are described, together with case studies from the SSX user program: an implementation of a high-viscosity extrusion injector to perform room temperature serial crystallography at BioMAX using two solid supports – silicon nitride membranes (Silson, UK) and XtalTool (Jena Bioscience, Germany). Future perspectives for the dedicated serial crystallography beamline MicroMAX at MAX IV Laboratory, which will provide parallel and intense micrometre-sized X-ray beams, are discussed.
Antecedents of entrepreneurial intentions of electrical installation and maintenance work students’ in technical colleges
Authors: Shodipe Taiwo Olabanji , Ohanu Ifeanyi Benedict 
Published: August 2020

Purpose
Extending the theory of planned behaviour and the perspective of available resources, the purpose of this study is to expatiate the influence behavioural antecedents of available resources on electrical installation and maintenance work students’ (EIMW) entrepreneurial intentions (EIs) in technical colleges.

Design/methodology/approach
The study adopted a multistage sampling technique to select samples for the study. Data collected were analyzed using structural equation models in the empirical analysis.

Findings
The study showed that attitude, subjective norms, perceived behavioural control and perceived efficacy are behavioural antecedents that can be manipulated by exogenous factors to enhance EIMW students’ EIs.

Originality/value
This study stirs the government and other education agencies on the need to strengthen the technical institutions through adequate funding, employment of skilled personnel and provision of up-to-date types of machinery and equipment to help the students to compete globally. Therefore, adequate application of available resources will foster positive behaviours of EIMW students towards establishing their business venture.
The implications of Political Party Funding Act, No. 6 of 2018 in South Africa on records management
Authors: Netshakhuma Nkholedzeni Sidney 
Published: August 2020

Purpose
This paper aims to assess the Section 12 of the Political Party Funding Act No. 6 of 2018 of South Africa with a view of recommending good records management practice.

Design/methodology/approach
This paper is based on a literature review and an analysis of political funding access to information and records management literatures.

Findings
The study found that a lack of good records management practice is hindering transparency in government practice in South Africa. Furthermore, the enactment of the Political Party Funding Act No. 6 of 2018 has created the potential for South Africa political parties to start applying good records management practices.

Research limitations/implications
This research is limited to Section 12 of the political parties funding Act No 6 of 2018 to promote accountability transparency.

Practical implications
The effective implementation of the Political Party Funding Act, 2018 will contribute to the preservation of records with financial, historical and cultural values.

Social implications
The implementation of the Political Party Funding Act No. 6 of 2018 Section 12 is expected to lead an open, transparent and accountable South African society through the establishment of a a records management programme.

Originality/value
This paper raises important considerations around ensuring compliance and accountability in government recordkeeping within the context of recent legislation. While discussion around the importance and use of records management is not new, the legislation brings an opportunity for fresh discussion within a national political context.
Factors affecting level of unemployment in South Asia
Authors: Shabbir Aiza , kousar Shazia , Zubair Alam Muhammad 
Published: August 2020

PurposeThis study aims to investigate the short-run and long-run relationship between economic variables and the unemployment rate in South Asian countries.Design/methodology/approachA panel Vector Error Correction (VECM) model is used to establish the long-run and the short-run relationship between unemployment rate and selected economic variables. Data were collected from WDI, WGI and FDSD for the year's 1994–2016.FindingsThe finding of the study showed a negative and significant relationship at the 5% level of significance among governance, internet users, mobile cellular subscriptions, fixed broadband subscriptions and human capital with an unemployment rate of South Asian economies. On the other hand, financial activity (credit) and population growth have a positive and significant relationship with the unemployment rate.Research limitations/implicationsIn the light of our findings clear that employment problems can only be created if the government does not put in place adequate measures to control the population and allocate resources equitably, giving a sense of belonging to all citizens. Therefore, to provide the controlled population with the necessary employment opportunities, it is necessary to allocate resources efficiently and to launch projects aimed at creating jobs.Practical implicationsTransparency or merit is the basis of good governance and the very first step to achieving the goal of good governance is to fight against corruption. It provides a complete justification for providing good quality management records, financial controlling and managerial systems.Originality/valueThe connections between governance and unemployment are complex and need to be studied in a detailed manner. There is the absence of literature that strongly interfaces good governance to unemployment; the fundamental work in this regard is Farid (2015). They locate a solid relationship between good governance and improving external debt situation by in Pakistan a time series analysis. But there is no research in the context of South Asian countries between governance and unemployment.
Exploring the effects of “excessive tourism growth” on public health and ecosystem
Authors: Sari Ferika Ozer , Nazli Murat 
Published: August 2020

PurposeThe purpose of this research is to explore and understand the effects of excessive tourism growth on public health, local people and the ecosystem. The secondary purpose of the study is to link excessive tourism growth to social exchange theory, in terms of interchanging key resources of tourism destinations.Design/methodology/approachThis is an exploratory study where qualitative research methods are employed. Telephone interview technique is used to obtain data from academicians who work at various universities in Turkey. Content analysis and thematic analysis with an inductive approach are made by use of MAXQDA software program.FindingsFindings reveal that the satisfaction of local people is an important gain in terms of the economy, but the destruction of the ecosystem due to the excessive crowd, in a sense, overtourism, garbage and too much waste is striking disadvantage based on the responses. Risk of contagious disease, effects on the natural environment and wastes are stated to have huge impacts on the public health and ecosystem.Practical implicationsThe study identifies some implications in terms of imbalance and unfairness among the locals who face with excessive crowds. Managing the effects of excessive tourism growth on vulnerable destinations and local people, controlling the carrying capacity in destinations with anxiety, fear, depression, health problems and low living standards should be taken under consideration. Additionally, finding ways to get rid of infectious diseases (such as increasing health checkpoints at borders, investigating the carrying capacity of destinations) is important for tourism spots.Originality/valueAs a major theoretical contribution, this study links excessive tourism growth to social exchange theory and reveals that the degree of exchanging valuable resources in the destination and the level of interaction between locals and tourists are the most critical points for the well-being of the local community and ecosystem.
Estimation of the knowledge management model for performance measurement in university libraries
Authors: Rafi Muhammad , Jian Ming Zheng , Ahmad Khurshid 
Published: August 2020

PurposeThe study aims to expand the literature on evaluating the performance of professionals and academic libraries, rationalizing management and providing reliable services to the academic community. The performance assessment model covers the four components (management competence, professional experience, financial add/projects and library services) in the context of the knowledge management model.Design/methodology/approachBased on quantitative data, the study defines a set of assumptions for testing the four components of performance evaluation within a knowledge management framework to develop appropriate and robust models for improving employee performance and library services. The structural equation model has been applied to sample data from 339 administrative librarians at 190 universities in Pakistan.FindingsStatistical evidence confirms that the applicability of the proposed performance-based model enhances management competence, makes accurate decisions, develops professional skills and strengthens human resource organization and knowledge management techniques in developing the efficiency of academic libraries.Practical implicationsIn the long term, academic leaders and policymakers value investment in the professional development of top library management as they participate in the decision-making process. Organizing training for service employees, supporting innovative research projects and providing library technology infrastructures ultimately improve academic performance and research when integrated into the knowledge management model.Originality/valueSo far, comprehensive literature on performance and knowledge management has been published separately. However, based on the key data collected by senior library administrators using the structured research questionnaire, the comprehensive performance evaluation research based on a knowledge management model is innovative to improve academic library services and close the literature gap.
English language professors' experiences in using social media network Telegram in their classes: a critical hermeneutic study in the context of Iran
Authors: Kayzouri Amir Hossein , Mohebiamin Amineh , Saberi Reza , Bagheri-Nia Hassan 
Published: August 2020

PurposeThis qualitative study sought to explore how Iranian English language professors used social media network Telegram in their classes and what possibilities and constraints they experienced with regard to classroom interactions and university education, and how they rethought the use of social media network Telegram.Design/methodology/approachData were collected through written reflective exercises and semi-structured interviews. Furthermore, data were analyzed based on three moments of critical hermeneutics: a moment of social-historical analysis, a moment of formal analysis and a moment of interpretation-reinterpretation.FindingsThe analysis of the data led to four themes: a dialogic classroom, the critical awareness of power-relations, the critical reflection on the experiences of the classroom and digital inequality. In fact, the participants pointed out that using social media network Telegram could lead to the persuasive discourse and multiplicity of voices as opportunities for sharing knowledge and distributing powers.Originality/valueIndeed, the present study addressed the learning processes resulted from using social media network Telegram rather than the product and outcome that were mainly addressed by the previous studies by considering three levels of descriptions, which included micro-level of the learner and teacher interaction, meso-level of the processes of educational institutions and macro-level of wider cultural and societal contexts.
Nonlinear and linearized gray box models of direct-write printing dynamics
Authors: Simeunović Andrej , Hoelzle David John 
Published: August 2020

PurposeThe purpose of this study is to develop nonlinear and linearized models of DW printing dynamics that capture the complexity of DW while remaining integrable into control schemes. Control of material metering in extrusion-based additive manufacturing modalities, such as positive displacement direct-write (DW), is critical for manufacturing accuracy. However, in DW, transient flows are poorly controlled due to capacitive pressure dynamics – pressure is stored and slowly released over time from the build material and other compliant system elements, adversely impacting flow rate start-ups and stops. Thus far, modeling of these dynamics has ranged from simplistic, potentially omitting key contributors to the observed phenomena, to highly complex, making usage in control schemes difficult.Design/methodology/approachThe authors present nonlinear and linearized models that seek to both capture the capacitive and nonlinear resistive fluid elements of DW systems and to pose them as ordinary differential equations for integration into control schemes. The authors validate the theoretical study with experimental flow rate and material measurements across a range of extrusion nozzle sizes and materials. The authors explore the contribution of the system and build material bulk modulus to these dynamics.FindingsThe authors show that all tested models accurately describe the measured dynamics, facilitating ease of integration into future control systems. Additionally, the authors show that system bulk modulus may be substantially reduced through appropriate system design. However, the remaining build material bulk modulus is sufficient to require feedback control for accurate material delivery.Originality/valueThis study presents new nonlinear and linear models for DW printing dynamics. The authors show that linear models are sufficient to describe the dynamics, with small errors between nonlinear and linear models. The authors demonstrate control is necessary for accurate material delivery in DW.
How do perceived CPA and political CSR interact in their relationships with citizens’ trust in companies?
Authors: Tortosa-Edo Vicent , López-Navarro Miguel Ángel 
Published: August 2020

PurposeIn the context of an industrial complex where corporate political activity (CPA) and political corporate social responsibility (political CSR) are not related, this study aims to investigate the possible relationship between citizens’ perceptions of these two non-market strategies and residents’ trust in companies located in the industrial complex.Design/methodology/approachData were collected from 740 citizens living near a petrochemical complex in Tarragona (Spain). The results were analysed using structural equation modelling.FindingsBased on institutional theory, the key findings of the study are that CPA and political CSR are differently related to citizens’ trust in companies. The results also verify that the negative relationship (between CPA and trust) outweighs the positive one (between political CSR and trust).Practical implicationsThe lack of fit between political CSR and CPA in the complex analysed suggests that firms are neglecting approaches shared by these non-market strategies, and thus wasting a huge opportunity to improve citizens’ trust in and acceptance of the complex firms. Moreover, the ethical dimension should always be present when these firms take on political responsibilities.Originality/valueTo date, CPA and political CSR have largely been dealt with separately in the literature. This study attempted to bridge this gap by examining a situation where there is no strategic relationship between CPA and political CSR to analyse, from the perspective of citizens’ perceptions, the relationship each strategy has with the important academic concept of citizens’ trust in companies.
Combining discrete cosine transform and convolutional neural networks to speed up the Hamiltonian Monte Carlo inversion of pre‐stack seismic data
Authors: Aleardi Mattia 
Published: August 2020

ABSTRACTMarkov chain Monte Carlo algorithms are commonly employed for accurate uncertainty appraisals in non‐linear inverse problems. The downside of these algorithms is the considerable number of samples needed to achieve reliable posterior estimations, especially in high‐dimensional model spaces. To overcome this issue, the Hamiltonian Monte Carlo algorithm has recently been introduced to solve geophysical inversions. Different from classical Markov chain Monte Carlo algorithms, this approach exploits the derivative information of the target posterior probability density to guide the sampling of the model space. However, its main downside is the computational cost for the derivative computation (i.e. the computation of the Jacobian matrix around each sampled model). Possible strategies to mitigate this issue are the reduction of the dimensionality of the model space and/or the use of efficient methods to compute the gradient of the target density. Here we focus the attention to the estimation of elastic properties (P‐, S‐wave velocities and density) from pre‐stack data through a non‐linear amplitude versus angle inversion in which the Hamiltonian Monte Carlo algorithm is used to sample the posterior probability. To decrease the computational cost of the inversion procedure, we employ the discrete cosine transform to reparametrize the model space, and we train a convolutional neural network to predict the Jacobian matrix around each sampled model. The training data set for the network is also parametrized in the discrete cosine transform space, thus allowing for a reduction of the number of parameters to be optimized during the learning phase. Once trained the network can be used to compute the Jacobian matrix associated with each sampled model in real time. The outcomes of the proposed approach are compared and validated with the predictions of Hamiltonian Monte Carlo inversions in which a quite computationally expensive, but accurate finite‐difference scheme is used to compute the Jacobian matrix and with those obtained by replacing the Jacobian with a matrix operator derived from a linear approximation of the Zoeppritz equations. Synthetic and field inversion experiments demonstrate that the proposed approach dramatically reduces the cost of the Hamiltonian Monte Carlo inversion while preserving an accurate and efficient sampling of the posterior probability.
Monitoring of seagrass along southern Andaman coast of Thailand
Authors: Rattanachot Ekkalak , Stankovic Milica , Tuntiprapas Piyalap , Prempree Supaporn , Prathep Anchana 
Published: August 2020

AbstractSeagrass ecosystems provide various important ecosystem services in the marine environment. However, their global distribution has been declining since the 1800s. At the current rate of decline of almost 1.5% per year, almost half the meadows will be lost in the next 100 years. To prevent or minimize their loss, global monitoring programs have been established, such as SeagrassNet. The aim of the program is to introduce a global monitoring protocol and to preserve seagrass ecosystems by increasing scientific knowledge of them. The aim of this study was to gather data obtained by this protocol and to set a baseline for knowledge of the seagrass meadows in marine national parks in Southern Thailand. The data were collected from February 2006 until March 2009, three times a month at three national parks: Haad Chao Mai, Tarutao and Mu Ko Petra. At each site, the data were obtained along three transects parallel to the coast with 12 quadrats, in which species coverage and biomass above and below ground were recorded. These data sets can be used in future seagrass health assessments, in observation of the temporal changes of the meadows and as a baseline for restoration efforts.The complete data set for this abstract published in the Data Paper section of the journal is available in electronic format in MetaCat in JaLTER at http://db.cger.nies.go.jp/JaLTER/metacat/metacat/ERDP-2020-10.1/jalter-en.
Nanoliposomes coencapsulating curcumin and vitamin D3 produced by hydration of proliposomes: Effects of the phospholipid composition in the physicochemical characteristics of vesicles and after incorporation in yoghurts
Authors: A. Chaves Matheus , Franckin Vinicius , Sinigaglia‐Coimbra Rita , Pinho Samantha C. 
Published: August 2020

Nanoliposomes coencapsulating curcumin and vitamin D3 (VD3) using different compositions of purified and unpurified lecithins were produced by hydration of proliposomes and characterised over 15 days of storage. The dispersions were incorporated to pineapple yoghurts produced in laboratory‐scale, which were also characterised. Results showed that curcumin and vitamin D3 were retained in the nanovesicles up to 86.1% and 94.1%, respectively. Most of the parameters assessed for the yoghurt samples were within the limits required by the Brazilian legislation and the Codex Alimentarius. Finally, the enriched product was well accepted by the panellists with the purchase intention ranging from 53 to 75%.
Locking up my generation: Cohort differences in prison spells over the life course
Authors: Shen Yinzhi , Bushway Shawn D. , Sorensen Lucy C. , Smith Herbert L. 
Published: August 2020

AbstractCrime rates have dropped substantially in the United States, but incarceration rates have remained high. The standard explanation for the lasting trend in incarceration is that the policy choices from the 1980s and 1990s were part of a secular increase in punitiveness that has kept rates of incarceration high. Our study highlights a heretofore overlooked perspective: that the crime–punishment wave in the 1980s and 1990s created cohort differences in incarceration over the life course that changed the level of incarceration even decades after the wave. With individual‐level longitudinal sentencing data from 1972 to 2016 in North Carolina, we show that cohort effects—the lingering impacts of having reached young adulthood at particular times in the history of crime and punishment—are at least as large (and likely much larger) than annual variation in incarceration rates attributable to period‐specific events and proclivities. The birth cohorts that reach prime age of crime during the 1980s and 1990s crime–punishment wave have elevated rates of incarceration throughout their observed life course. The key mechanism for their elevated incarceration rates decades after the crime–punishment wave is the accumulation of extended criminal history under a sentencing structure that systematically escalates punishment for those with priors.