bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adaptive current-flow models of ECT: Explaining individual static impedance, dynamic impedance, and brain current density
Authors: Unal Gozde , Swami Jaiti K. , Canela Carliza , Cohen Samantha L. , Khadka Niranjan , Rad Mohammad , Short Baron , Argyelan Miklos , Sackeim Harold A. , Bikson Marom 
Published: November 2020

AbstractBackgroundImprovements in electroconvulsive therapy (ECT) outcomes have followed refinement in device electrical output and electrode montage. The physical properties of the ECT stimulus, together with those of the patient’s head, determine the impedances measured by the device and govern current delivery to the brain and ECT outcomes.ObjectiveHowever, the precise relations among physical properties of the stimulus, patient head anatomy, and patient-specific impedance to the passage of current are long-standing questions in ECT research and practice.MethodsWe developed anatomical MRI-derived models of transcranial electrical stimulation (tES) that included changes in tissue conductivity due to local electrical current flow. These “adaptive” models simulate ECT both during therapeutic stimulation using high (~1 A) current and when dynamic impedance is measured, as well as prior to stimulation when low (~1 mA) current is used to measure static impedance. We modeled two scalp layers: a superficial scalp layer with adaptive conductivity that increases with electric field up to a subject specific maximum, and a deep scalp layer with a subject-specific fixed conductivity (σDS).ResultsWe demonstrate that variation in these scalp parameters explain clinical data on subject-specific static impedance and dynamic impedance, their imperfect correlation across subjects, their relationships to seizure threshold, and the role of head anatomy. Adaptive tES models demonstrate that current flow changes local tissue conductivity which in turn shapes current delivery to the brain in a manner not accounted for in fixed tissue conductivity models.ConclusionsOur predictions that variation in individual skin properties, rather than other aspects of anatomy, largely govern the relationship between static impedance, dynamic impedance, and current delivery to the brain, are themselves subject to assumptions about tissue properties. Broadly, our novel pipeline for tES models is important in ongoing efforts to optimize devices, personalize interventions, and explain clinical findings.
3D nanoscale analysis of bone healing around degrading Mg implants studied by X-ray scattering tensor tomography
Authors: Liebi Marianne , Lutz-Bueno Viviane , Guizar-Sicairos Manuel , Schönbauer Bernd M. , Eichler Johannes , Martinelli Elisabeth , Löffler Jörg F. , Weinberg Annelie , Lichtenegger Helga , Grünewald Tilman A. 
Published: November 2020

AbstractThe nanostructural adaptation of bone is crucial for its compatibility with orthopedic implants. The bone’s nanostructure determines its mechanical properties, however little is known about its temporal and spatial adaptation in degrading implants. This study presents insights into this adaptation by applying electron microscopy, elemental analysis, and small-angle X-ray scattering tensor-tomography (SASTT). We extend the SASTT reconstruction to multiple radii of the reciprocal space vectorq, providing a 3D reciprocal-space map per voxel. Each scattering curve is spatially linked to one voxel in the volume, and properties such as the thickness of the mineral particles are quantified. This reconstruction provides information on nanostructural adaptation during healing around a degrading ZX10 magnesium implant over the course of 18 months, using a sham as control. The nanostructural adaptation process is observed to start with an initially fast interfacial organization towards the implant direction, followed by a substantial reorganization of the volume around the implant, and an adaptation in the later degradation stages. The study sheds light on the complex bone-implant interaction in 3D, allowing a more guided approach towards the design of future implant materials, which are expected to be of great interest for further clinical studies on the bone-implant interaction.TOC text and figureDegrading Magnesium implants are mechanically and chemically well adapted orthopedic implant materials and ensure a gradual load transfer during bone healing due to their degradation. The impact of the implant degradation on the bone nanostructure is however not fully understood. This study unveils the processes 3D and shows different stages of bone healing.
Human reference gut microbiome comprising 5,414 prokaryotic species, including newly assembled genomes from under-represented Asian metagenomes
Authors: Kim Chan Yeong , Lee Muyoung , Yang Sunmo , Kim Kyungnam , Yong Dongeun , Kim Hye Ryun , Lee Insuk 
Published: November 2020

AbstractMetagenome sampling bias for geographical location and lifestyle is partially responsible for the incomplete catalog of reference genomes of gut microbial species. Here, we present a substantially expanded microbiome catalog, the Human Reference Gut Microbiome (HRGM). Incorporating newly assembled 29,082 genomes from 845 fecal samples collected from three under-represented Asian countries—Korea, India, and Japan—the HRGM contains 232,098 non-redundant genomes of 5,414 representative prokaryotic species, >103 million unique proteins, and >274 million single-nucleotide variants. This is an over 10% increase from the largest reference database. The newly assembled genomes were enriched for members of theBacteroidaceaefamily, including species associated with high-fiber and seaweed-rich diet. Single-nucleotide variant density was positively associated with the speciation rate of gut commensals. Ultra-deep sequencing facilitated the assembly of genomes of low-abundance taxa, and deep sequencing (>20 million read pairs) was needed for the profiling of low-abundance taxa. Importantly, the HRGM greatly improved the taxonomic and functional classification of sequencing reads from fecal samples. Finally, mapping homologous sequences for human auto-antigens onto the HRGM genomes revealed the association of commensal bacteria with high cross-reactivity potential with autoimmunity. The HRGM (www.mbiomenet.org/HRGM/) will facilitate the identification and functional analysis of disease-associated gut microbiota.
Influence of high oxygenated biofuels on micro-gas turbine engine for reduced emission
Authors: Devi Booma , S. Venkatesh , Vimal Rakesh , T.R. Praveenkumar 
Published: November 2020

Purpose
This paper aims to investigate the effect of additives in Jet-A fuel blends, especially on performance, combustion and emission characteristics.

Design/methodology/approach
Jet-A fuel was formed by using Kay’s and Gruenberg–Nissan mixing rules by adding additive glycerol with TiO2. While measuring the combustion performance, the amount of oxygen content present in fuel and atomization are the key factors to consider. As such, the Jet-A fuel was created by adding additives at different proportion. A small gas turbine engine was used for conducting tests. All tests were carried out at different load conditions for all the fuel blends such as neat Jet-A fuel, G10T (glycerol 10% with 50 ppm TiO2 and Jet-A 90%), G20T (glycerol 10% with 50 ppm TiO2 and Jet-A 90%) and G30T (glycerol 10% with 50 ppm TiO2 and Jet-A 90%).

Findings
From tests, the G20T and G10T produced better results than other blends. The thermal efficiency of the blends of G20T and G10T are 22% and 14% higher than neat Jet-A fuel. Further, the improved static thrust with less fuel consumption was noticed in G20T fuel blend.

Originality/value
The G20T blends showed better performance because of the increased oxygenated compounds in the fuel blends. Moreover, the emission rate of environmentally harmful gases such as NOx, CO and HC was lower than the neat Jet-A fuel. From the results, it is clear that the rate of exergy destruction is more in the combustion chamber than the other components of fuel.
A systematic literature review of process modeling guidelines and their empirical support
Authors: Avila Diego Toralles , dos Santos Rubens Ideron , Mendling Jan , Thom Lucineia Heloisa 
Published: November 2020

PurposeProcess modeling guidelines are a valuable instrument for increasing the quality of process models. Since finding and selecting suitable guidelines are challenging, this paper aims to find and select suitable guidelines because they are scattered across the many studies of the literature. Also, not all of them are supported by empirical studies.Design/methodology/approachThe authors conducted a systematic literature review to collect and analyze process modeling guidelines present in the literature and the empirical evidence that supports them.FindingsThe authors investigated a total of 793 articles and identified a total of 45 process modeling guidelines in five different categories. For each of these guidelines, the authors report empirical evidence together with corresponding measures, such as comprehension accuracy and error probability.Originality/valueCompared to the prior literature reviews on process model quality and process modeling guidelines, this article extends current knowledge by analyzing the empirical evidence and variables associated with each guideline. This analysis provides guidance for practitioners and scholars on which guidelines to use while modeling a process and perform further research on.
The transformation of corporate sustainability model in the context of achieving the UN SDGs: evidence from the leading Russian companies
Authors: Blagov Yury E. , Petrova-Savchenko Anastasia A. 
Published: November 2020

Purpose
The purpose of this paper is to explore the current status and identify the main trends in leading Russian companies’ corporate sustainability model transformation in the context of achieving the United Nations Sustainable Development Goals (UN SDGs).

Design/methodology/approach
A theoretical approach is based on the interpretation of corporate sustainability model transformation within the corporate social performance (CSP) framework. The corporate sustainability model is described according to Dyllick and Muff (2016) business sustainability (BST) 1.0-3.0 spectrum. The analysis is settled on survey data collected from leading Russian companies participated in the “Report on Social Investments in Russia” project conducted by the Russian Managers Association from 2008 to 2019.

Findings
This paper finds that the BST 2.0 is becoming a dominant model based on the “creating shared value” goal. The related CSP is characterized by their orientation to the principles of the UN Global Compact; by the emergence of a coordinating role for specialized departments of corporate social responsibility (CSR) and/or sustainability; and by the regular sustainability reporting. The SDGs are generally correlated with responsible business practices that are already in existence in companies. The emerging trend towards the advanced BST 3.0 model including the SDGs integration into the main business processes is constrained by the lack of active cooperation between companies.

Research limitations/implications
The research sample includes only large Russian companies with a significant industry diversity, participating in the “Report on Social Investments in Russia” project, thereby restricting the analysis of non-participants. The relatively low repetition of participants in this long-term project does also restrict the degree of generalization. Future research could be based on the findings of this paper to create and test hypotheses via a nationwide study of Russian businesses as well as cross-national comparative studies.

Practical implications
The analysis of the corporate sustainability model transformation through studying the key CSP framework elements could support Russian companies in creating systemic changes of their principles, processes and outcomes measurements in the context of achieving the UN SDGs.

Originality/value
This study contributes to existing literature by combining the corporate sustainability model transformation analysis with the CSP framework. It describes the experience of large Russian companies that publicly position themselves as national leaders in the field of CSR and sustainable development.
Numerical and experimental investigation of a spur gear pair with unloaded static transmission error
Authors: Lei Duncai , Kong Xiannian , Chen Siyu , Tang Jinyuan , Hu Zehua 
Published: November 2020

Purpose
The purpose of this paper is to investigate the dynamic responses of a spur gear pair with unloaded static transmission error (STE) excitation numerically and experimentally and the influences of the system factors including mesh stiffness, error excitation and torque on the dynamic transmission error (DTE).

Design/methodology/approach
A simple lumped parameters dynamic model of a gear pair considering time-varying mesh stiffness, backlash and unloaded STE excitation is developed. The STE is calculated from the measured tooth profile deviation under the unloaded condition. A four-square gear test rig is designed to measure and analyze the DTE and vibration responses of the gear pair. The dynamic responses of the gear transmission are studied numerically and experimentally.

Findings
The predicted numerical DTE matches well with the experimental results. When the real unloaded STE excitation without any approximation is used, the dynamic response is dominated by the mesh frequency and its high order harmonic components, which may not be result caused by the assembling error. The sub-harmonic and super-harmonic resonant behaviors are excited because of the high order harmonic components of STE. It will not certainly prevent the separations of mesh teeth when the gear pair is under the condition of high speed and heavy load.

Originality/value
This study helps to improve the modeling method of the dynamic analysis of spur gear transmission and provide some reference for the understanding of the influence of mesh stiffness, STE excitation and system torque on the vibration behaviors.
A clean energy forecasting model based on artificial intelligence and fractional derivative grey Bernoulli models
Authors: Zhang Yonghong , Mao Shuhua , Kang Yuxiao 
Published: November 2020

PurposeWith the massive use of fossil energy polluting the natural environment, clean energy has gradually become the focus of future energy development. The purpose of this article is to propose a new hybrid forecasting model to forecast the production and consumption of clean energy.Design/methodology/approachFirstly, the memory characteristics of the production and consumption of clean energy were analyzed by the rescaled range analysis (R/S) method. Secondly, the original series was decomposed into several components and residuals with different characteristics by the ensemble empirical mode decomposition (EEMD) algorithm, and the residuals were predicted by the fractional derivative grey Bernoulli model [FDGBM (p, 1)]. The other components were predicted using artificial intelligence (AI) models (least square support vector regression [LSSVR] and artificial neural network [ANN]). Finally, the fitting values of each part were added to get the predicted value of the original series.FindingsThis study found that clean energy had memory characteristics. The hybrid models EEMD–FDGBM (p, 1)–LSSVR and EEMD–FDGBM (p, 1)–ANN were significantly higher than other models in the prediction of clean energy production and consumption.Originality/valueConsider that clean energy has complex nonlinear and memory characteristics. In this paper, the EEMD method combined the FDGBM (P, 1) and AI models to establish hybrid models to predict the consumption and output of clean energy.
Does concentration of social housing influence house prices? Evidence from New Zealand
Authors: Sequeira Vernon , Filippova Olga 
Published: November 2020

Purpose
Housing affordability in New Zealand is placing significant pressure on the country’s social housing sector with increased demand for public sector accommodation. A common belief suggests that social housing has a negative effect on nearby residential property values. This study aims to develop proximity and concentration measures of social housing to determine if their spatial distribution affects property values.

Design/methodology/approach
Using over 32,000 residential sales transactions from Auckland (New Zealand) during a three-year period (2014–2016), this study applies standard hedonic OLS framework with the addition of spatial autoregressive model and spatiotemporal autoregressive model to test if proximity and concentration of social housing influence residential property values.

Findings
The research found that private houses that share boundaries with public housing are discounted by 1.7%–3.3% depending on the socio-economic status of the submarket. The authors find that wealthier submarkets are better equipped to absorbing negative externalities attached to social housing. Proximity measures tend to peak at 250 m, with houses discounted up to 5% within that distance. Concentration levels of social housing had a greater influence on the private residential market. At low levels of concentration, houses in areas of high and low socio-economic levels were discounted by approximately 6.5%. The discount does not remain uniform and the gap between the two areas is apparent at medium and high concentration levels. The negative effect was the highest − 23% – in the neighbourhoods that were socially and economically deprived.

Originality/value
The study’s findings can assist policymakers in informing strategies on the future social housing initiatives. The findings suggest that a dispersed development strategy that incorporates a balanced mix of tenure and socio-economic groups should be preferred over a high-density social housing concentrated in already deprived neighbourhoods.
Will you shake my hand? Factors of noncompliance with COVID-19 behavioral rules in the framework of enforced social isolation in Russia
Authors: Parfenova Angelina 
Published: November 2020

PurposeThis research paper is devoted to the investigation of reasons for not complying with behavioral rules in the context of epidemiological situation aggravation because of COVID-19 spread.Design/methodology/approachThe study was conducted within the framework of a mixed methodology: a series of semistructured interviews and an online survey. In the first stage, 15 interviews were conducted to understand the possible reasons for not following the self-isolation rules or ignoring self-precaution recommendations. In the second stage, an online survey was conducted from 10th to 20th May 2020, gathering a total of 540 responses. This paper describes existing approaches for understanding the process of making a choice for not following recommended or obligatory behavioral rules as well as the significant reasons for making this choice.FindingsAs a result of the qualitative stage, the process of choosing to perform risky physical contact with another person was analyzed. Moreover, the possible factors that influence this behavior were discovered: primarily social environment and trust in the government, Internet, media. The way of coping with emerging conflict of making a traditional physical contact or staying in distance was also discussed. As a result of the quantitative stage, a significant contribution of trust toward institutions and official statistics on the number of people infected in different aspects of precautionary behavior was discovered, as well as other factors, such as the presence of infected in a social environment of a respondent.Originality/valueThis study contains valuable information about possible reasons for following or not following all precautions in the risky epidemiological situation and about the thinking process of an individual who does not follow precautions.
“Undocumented, unregistered and invisible”: an exploratory study of the reasons for and effects of migrating to Thailand of Cambodian young people
Authors: Sampson Isaac Alex , Miles Glenn Michael , Piano Eliza 
Published: November 2020

PurposeThis paper is designed to provide primary research which illuminates both the motivations for Cambodian migration as well as the risks entailed in undertaking migration.Design/methodology/approachThis paper gathered its information through a structured interview with 49 respondents aged between 17–29 years of mixed gender. The questionnaire comprised 18 questions in addition to a demographics section. Findings were subsequently analysed in order to extract commonalities amongst the experiences and perceptions of migrants.FindingsThe present research study found that the migration of Cambodians to Thailand is largely forced in the sense that there is a lack of economic opportunities within Cambodia. Of the respondents, 88% indicated that their preference would be to remain in Cambodia. What is more, the authors found that the migration is fraught with insecurity and risk, with a range of security issues faced by respondents including not being paid, being abused and being overworked.Research limitations/implicationsThis response group is not a representative sample of Cambodians who work in Thailand. The study’s respondents in Cambodia were at a deportation centre, where migrants caught by Thai authorities worked without documentation, which had a clear impact upon migration experience. Additionally, the study’s respondents in Pattaya, Thailand, were accessed via an associate of a colleague, so this too is not a representative sample of Cambodians working in Thailand.Practical implicationsThis can have practical use for a variety of stakeholders by providing quantitative information as well as analysis into the migration of Cambodians to Thailand. Within the Recommendations section, it is illustrated how a temporary migrant worker programme can be beneficial to the host and receiving countries and individual migrants. Individual migrants can benefit from being employed by legitimate, accountable employers and hence result in higher provision of human rights for this demographic.Social implicationsThere is a highly entrenched culture of migration within Cambodia's bordering provinces. Through changes to the personal health, well-being and prosperity of migrants in Thailand because of reduced exploitation and increased pay. Host communities in Cambodia are also likely to receive higher levels of remittances, which can stimulate development in Cambodian communities.Originality/valueDeepened understanding of the motivations for migration and highlighted lack of desire amongst Cambodians to migrate continue to demonstrate the persistent need for effective and substantial development policies within Cambodia. The proposal of a temporary migrant worker scheme is in its short-term nature and reflects the necessity of this demographic to migrate irrespective of whether they can receive official working papers.