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To study optical resonances in metallic nanoparticles.

The metallic nanoparticle is modeled as a dielectric body dispersive in frequency with assigned dielectric constant. The electric field is expressed as function of the charge distribution through an integral formulation. By imposing the boundary conditions on the nanoparticle surface, the equations for the induced charge in the nanoparticle is obtained. The numerical solution of such equations allows to treat arbitrary geometries and to estimate the effects of deviations from ideality on the resonance values.

Plasmon resonances in metallic nanoparticles can be safely studied with an electro‐quasistatic approximation. The resonance frequencies depend greatly on the details of the geometry of the nanoparticles.

The free‐space wavelength is supposed to be much greater than the largest characteristic dimension of the nanoparticles. Consequently, a electro‐quasistatic model is used to evaluate the distribution of the charges induced in the metallic nanoparticle.

Two methods are presented for the evaluation of the resonance frequencies starting from the numerical solution for a given geometry.

To provide a validation of a three‐dimensional (3D) macroscopic model for superconductors comparing numerical to experimental AC losses of a BSCCO‐2223 tape subject to an orthogonal magnetic field and a transport current.

We solve in 3D geometries the eddy current problem in presence of superconductors, represented by a power‐law characteristic rewritten into a variational form. An integral formulation of the magneto‐quasistatic Maxwell's equations is used. The solution of the problem is found by an unconstrained minimization of a suitable functional. The numerical results on AC losses computation are compared to experimental data.

The agreement between numerical and experimental data is good in a wide range of currents and magnetic fields.

The magnetic field is assumed to be orthogonal to the tape. Different incidence angles should be taken into account.

It is possible to extend the range of validity of the engineering formulae for AC losses used in the work.

The paper provides a validation of a numerical code against experimental results: this is always challenging in the field of applied superconductivity.

To apply two different integral formulations of full‐Maxwell's equations to the numerical study of interconnects in a low‐frequency range and compare the results.

The first approach consists of a surface formulation of the full‐Maxwell's equations in terms of potentials, giving rise to a surface electric field integral equation. The equation, given in a weak form, is solved by using a finite element technique. The solenoidal and non‐solenoidal components of the electric current density are separated using the null‐pinv decomposition to avoid the low‐frequency breakdown. The second model is an extension of partial element equivalent circuit technique to unstructured meshes allowing the use of triangular meshes. Two systems of meshes tied by duality relations are defined on multiconductor systems. The key point in the definition of the equivalent network is to associate the pair primal edge/dual face to a circuit branch. Solution of the resulting electrical network is performed by a modified nodal analysis method and regularization of the outcoming matrix is accomplished by standard techniques based on the addition of suitable resistors.

Both the formulation have a regular behaviour at very low frequency. This is automatically achieved in the first approach by using the null‐pinv decomposition.

Surface sources of fields.

Two different integral formulations of full‐Maxwell's equations for the numerical study of interconnects are compared in terms of low‐frequency behaviour.

To investigate the possible application of carbon nanotubes (CNTs) as interconnects and antennas.

An electromagnetic macroscopic modelling of CNT is derived. The conduction electrons of the nanotube are considered as a 2D fluid moving on the surface representing the positive ion lattice. The linearized Euler's equation describing the fluid motion is used as a macroscopic constitutive relationship to be coupled to Maxwell's equation. A surface integral formulation coupled to the fluid model is solved numerically using a finite element method. For peculiar configurations, transmission line‐like parameters of CNTs are derived.

Single wall CNT interconnects, due to the high resistance and characteristic impedance with respect to ideally scaled silicon technology, should be used in arrays and bundles.

Only single wall CNTs are considered.

The paper present a novel approach to CNTs and provides a comparison among the behaviour of CNTs with respect to ideally‐scaled silicon technology.

Purpose: This paper presents an exploratory analysis of minority stress and resiliency processes among parents in LGBTQ families. The paper examines two unique minority stress processes – (1) parents experiencing sexual and/or gender minority stress due to the stigmatization of their own identities as individuals and (2) parents sharing the gender minority stress faced by their transgender and gender expansive (TGE) child, and in the context of their parent–child relationship.

Methodology: Between 2017 and 2018 in-depth, in-person qualitative interviews on the topics of gender, stress, and resilience were conducted with 12 parents in LGBTQ families. Audio recordings were transcribed and then open coded using ATLAS.ti qualitative data analysis software. Analyses of data were informed by critical intersectional theories that locate gender and sexuality within structures of social and racial oppression.

Findings: Interview data indicate that minority stress is experienced by parents experiencing sexual and/or gender minority stress due to the stigmatization of their own identities, as well as among parents sharing the gender minority stress faced by their TGE child in the context of their parent–child relationship. Parents described community resilience and minority coping through interpersonal, community, and institutional support. This paper provides evidence that sexual and gender minority stressors are enhanced and resiliency factors are reduced among those experiencing racism and economic disadvantage.

Research limitations: This is an exploratory study conducted with a small sample of parents in a specific geographic area.

Originality/Value: These data provide initial evidence to support further analyses of the dyadic minority stressors within parent–child relationships in LGBTQ families

The purpose of this paper is to present an empirical investigation into the relationships between the selected organizational variables, business process improvement (BPI) and enterprise resource planning (ERP) success.

It is based on a sample of 96 firms operating in an Asian (Hong Kong) setting. Non‐parametric statistical tests are conducted on the sample.

It has found that the extent of BPI is positively related to ERP success, and senior management support of BPI (MSB), and senior management support of IT (MSI) and CEO‐IT distance are negatively related. However, it has also found that there exist no statistically significant relationships between approaches to business process changes and BPI, between MSI and ERP success, and between CEO‐IT distance and MSB. It has also yielded divergent findings for the impacts of CEO‐IT distance on the levels of senior MSI and MSB for the sub‐samples of firms of Western and Asian origin.

This research has produced empirical evidence in an Asian setting for some of the hypothesized relationships and pointed out that the impacts of certain organizational variables may differ across firms of different geographic (cultural) background. However, it is primarily empirical in nature and is weak in its theoretic underpinning to explain why these organizational variables are adopted in the study.

The findings of this study in an Asian setting add to those conducted in the West, and thus help fill the lacuna of research involving the variables relevant to ERP adoption.

Scholars rely on electronic databases to conduct searches and locate relevant citations. The purpose of this paper is to compare the retrieval results on the same topic (multiple sclerosis and liberation therapy) of two commonly used databases for searching print news media: ProQuest’s Canadian Newsstand Major Dailies and Dow Jones’ Factiva.

A case study comparing two electronic searchable databases using the same keywords, date range, and newspaper-specific search parameters across three Canadian university institutions.

Considerable differences were found between institutional searches using Factiva. Factiva allows all individual users the capacity to establish systems-wide “administrator” privileges, thereby controlling the output for subsequent users if these preferences are not changed. The capacity for individual users to tailor searches within Canadian Newsstand Major Dailies was more in line with standard protocols for institutions paying for single user accounts with access to multiple sessions within that same institution: any user-specific searching/retrieval preferences are individually contained within a search and do not influence the searches of a different user.

What began as a comparative analysis of two commonly used databases for searching print news media turned into an examination of larger systemic problems. The findings call into question several factors: the integrity of a researcher-generated data set; the quality of results published in peer-reviewed journals based on researcher-generated data sets derived from established e-resource databases; the reliability of the same e-resource database across multiple institutions; and the quality of e-resource databases for scholarly research when developed to serve primarily non-academic clients.

No comparison of this kind for these particular e-resource databases has been documented in the literature. In fact, the scholarly publications that address questions of functionality and reliability of either Factiva or Proquest have not brought this issue into the discussion. Therefore, this study furthers academic discourse on the nature and reliability of database use at any academic institution and illustrates that researchers, in a variety of academic fields, cannot depend on the reliability of their search results without thoroughly consulting the various settings of their database.

This study aims to review the relationship between neurological processes and financial behavior from an interdisciplinary perspective. Individual decision-making is influenced by cognitive and affective biases; hence, it becomes pertinent to understand the origin of these biases. Neurofinance is an emerging field of finance budding from neuroeconomics and explains the relationship between human brain activity and financial behavior, drawn from interdisciplinary fields, including neurology, psychology and finance.

This conceptual paper extensively reviews the extant literature and performs meta-analysis to attain its research objectives.

The paper highlights the use of neuroimaging techniques in mapping the brain areas to help understand the processes in the higher cognitive areas of brain. The paper raises some new questions regarding individual preferences and choices while making financial or non-financial decisions.

The special focus on dysfunctions arising in brain because of injury and their impact on decision-making is also a key point in this paper and is summarized using meta-analytic forest plot. The existing literature provides instances where emotional processing is altered by injury in brain and may lead to more advantageous decisions, especially in risky situations.

Increased evidence for the health benefits of probiotics for health restoration coupled with the consumer's inclination towards a safe, natural and cost-effective substitute for drugs have led application of probiotics as a pharmaceutical agent and are rapidly moving in clinical usage. In this context, this article attempts to highlight the potential of probiotics as a pharmaceutical agent.

Endeavor has been made to explore the significance of probiotics for the modulation of gut ecology and their action. Potentiality of probiotics for their exploitation as a pharmaceutical agent has also been justified. Limitations of probiotic therapy and the various considerations for probiotic therapy have also been delineated.

Probiotic organisms influence the physiological and pathological process of the host by modifying the intestinal microbiota, thereby affecting human health. Beneficial effects of probiotics as a pharmaceutical agent seem to be strain and dose dependent and more efficacious with their early introduction. Combination of various probiotics proved to be more efficacious than single strain for exhibiting prophylactic activities.

Reviewed literature indicated that it is difficult to generalize for the beneficial effect of all probiotics for all types of diseases as efficacy of probiotics is strain-dependent and dose-dependent and its clinical application needs long-term investigations.

Clinical trials have displayed that probiotics may alleviate certain disorders or diseases in humans especially those related to gastro-intestinal tract.

Ingestion of fermented dairy products containing probiotic cultures may provide health benefits in certain clinical conditions such as antibiotic-associated diarrhoea, rotavirus-associated diarrhoea, inflammatory bowel disease, inflammatory bowel syndrome, allergenic diseases, cancer, Helicobacter pylori infection and lactose-intolerance. Application of probiotics as a pharmaceutical agent is recommended.

This study aims to examine the current state of literature on structural equation modeling (SEM) studies in “cloud computing” domain with respect to study domains of research studies, theories and frameworks they use and SEM models they design.

Systematic literature review (SLR) protocol is followed. In total, 96 cloud computing studies from 2009 to June 2018 that used SEM obtained from four databases are selected, and relevant data are extracted to answer the research questions.

A trend of increasing SEM usage over years in cloud studies is observed, where technology adoption studies are found to be more common than the use studies. Articles appear under four main domains, namely, business, personal use, education and health care. Technology acceptance model (TAM) is found to be the most commonly used theory. Adoption, intention to use and actual usage are the most common selections for dependent variables in SEM models, whereas security and privacy concerns, costs, ease of use, risks and usefulness are the most common selections for causal factors.

Previous cloud computing SLR studies did not focus on statistical analysis method used in primary studies. This review will display the current state of SEM studies in cloud domain for all future academics and practical professionals.