Transfer Theory Research Articles

Sensitive detection of pymetrozine residues based on β-lactoglobulin as a fluorescence probe

A method was developed for the detection of pymetrozine (PYM) using β-lactoglobulin (β-LG) as a probe. The interaction between PYM and β-LG was studied by fluorescence spectra, circular dichroism spectra (CD), synchronous fluorescence spectra, ultraviolet visible spectra (UV–vis), fourier transform infrared (FT-IR) and molecular docking. The fluorescence quenching type between PYM and β-LG was demonstrated to be static by Stern-Volmer analysis and time-resolved fluorescence. The binding constant (Ka) was 2.95 × 104 L mol−1 at 293 K. The electrostatic attraction was confirmed to be the primary binding force by Ross theory, and the binding distance was 2.02 nm by fluorescence Resonance Energy Transfer (FRET) theory. Based on the interaction between β-LG and PYM, a fluorescence detection method for PYM was established. Under optimal experimental conditions, the standard equations were established in the range of 0.43 – 10.68 μg mL−1. The limit of detection (LOD) for PYM was 0.03 μg mL−1. The method was successfully applied to apple and pear fruit samples. Recoveries of PYM in these samples were 97.44 % – 102.29 %, the relative standard deviation (RSD) of these samples were 0.24 % – 0.88 % (n = 3).

Blockchain and trust in supply chains: a bibliometric analysis and trust transfer perspective

Existing studies into the roles of trust in blockchain applications within supply chains are fragmented. This paper seeks to address this issue by consolidating current knowledge and identifying various trustors and trust targets in blockchain applications in the supply chain literature. We conduct a bibliometric analysis of 192 relevant journal articles published between 2018 and 2022. We then identify 11 distinct clusters and analyse the trustors and trust targets within these clusters and leverage trust transfer theory to explain how a trustor's trust in one target can be transferred to another associated target in each cluster. We conclude by proposing two prospective research avenues focusing on trust transfer perspectives in blockchain applications in supply chain literature. The first avenue discusses the nuances in the trust transfer processes between voluntary and mandatory contexts of blockchain use. The second avenue highlights the underexplored trust transfer processes of various initial trust targets that can influence blockchain adoption.

An empirical analysis of eWOM valence effects: Integrating stimulus-organism-response, trust transfer theory, and theory of planned behavior perspectives

The dynamic impact of electronic word-of-mouth (eWOM) valence on consumer attitudes and perceptions emphasizes the necessity of understanding how online reviews influence consumer behavior in the digital age. This study thus addresses this challenge by integrating the perspectives of the Stimulus-Organism-Response (SOR) model with trust transfer theory and the Theory of Planned Behavior (TPB) as the theoretical foundation for the proposed conceptual research framework. Employing structural equation modeling (SEM), this study analyzed experimental survey data collected from 601 Indonesian Instagram users in August 2023. The findings reveal that eWOM valence positively affects consumer brand attitudes and perceived brand quality, subsequently driving online engagement and purchase intentions. The study challenges established relationships by demonstrating how brand attitude and perceived brand quality mediate the influence of eWOM valence. Additionally, this study highlights the critical moderating roles of eWOM credibility and influencer familiarity in strengthening the impact of eWOM valence. This research scrutinizes a context not widely explored in the current literature of eWOM studies by integrating these moderators and focusing on the dynamic interactions within social media platforms, providing new insights for digital marketers and social media influencers aiming to enhance consumer engagement and purchase intentions in the digital domain.

Who can you trust? The curvilinear effects of producer-retailer trust (im)balance in organic food consumption – The moderation role of trust in blockchain technology

Little is known about the role of producer-retailer trust congruence in the organic food supply chain, while blockchain technology is considered a ‘trust machine’ in this supply chain. This research adopts the lens of the trust transfer theory to explore how trust in organic food producers can congruently and incongruently interact with trust in organic food retailers to trigger consumers’ trust in organic food products, which, in turn, interact with trust in blockchain technology to reinforce consumers’ purchase decisions. Using a purposive sample of 5326 Vietnamese consumers, the research employs an advanced method-polynomial regression with response surface analysis test the hypothesized model. The findings reveal that both trust in organic food producers and trust in organic food retailers significantly affect trust in organic food products, with trust in organic food products being higher when trust in organic food producers and trust in organic food retailers are balanced at a high level. These trusts also pose serial indirect effects on consumers’ purchase decisions through trust in organic food producers and purchase intentions. Trust in blockchain technology was found to positively moderate the impact of trust in organic food producers on consumers’ organic food purchase intentions. Based on the findings, some practical implications for stakeholders are released.

Numerical study on the evaporation rate of an electronic cigarette atomizer

This work establishes an evaporation model for the electronic cigarette atomizer based on convective mass transfer theory, which is implemented through Fluent user-defined functions (UDFS). By adding the convection–diffusion equation and considering the energy loss caused by evaporation and the temperature variation over the atomizer body, the evaporation rate of the e-liquid from the atomizer is more accurately calculated, compared to the previous evaporation model based on the assumption of constant temperature over the atomizer body. The effects of external airflow velocity, atomizer porosity, heating power, atomizer shape, heating method, and groove width on the average surface temperature and evaporation rate of the atomizer are examined. The results show that compared with other factors, the external air flow velocity has relatively insignificant influence on the evaporation rate of the atomizer. Within a certain range, as the porosity of the atomizer decreases or the heating power increases, the evaporation rate of the atomizer increases. The cylindrical atomizer has better evaporation performance than the cuboid and grooved atomizer, if all atomizer surfaces are heated, however, when the heating area of the grooved atomizer is optimized, i.e., only the surfaces with large evaporation rates are heated, the evaporation rate of a grooved atomizer can be higher than that of a cylindrical atomizer. The evaporation rate increases with increasing groove width, in the parameter range studied.

Model-predicted brain temperature computational imaging by multimodal noninvasive functional neuromonitoring of cerebral oxygen metabolism and hemodynamics: MRI-derived and clinical validation.

Brain temperature, a crucial yet under-researched neurophysiological parameter, is governed by the equilibrium between cerebral oxygen metabolism and hemodynamics. Therapeutic hypothermia has been demonstrated as an effective intervention for acute brain injuries, enhancing survival rates and prognosis. The success of this treatment hinges on the precise regulation of brain temperature. However, the absence of comprehensive brain temperature monitoring methods during therapy, combined with a limited understanding of human brain heat transmission mechanisms, significantly hampers the advancement of hypothermia-based neuroprotective therapies. Leveraging the principles of bioheat transfer and MRI technology, this study conducted quantitative analyses of brain heat transfer during mild hypothermia therapy. Utilizing MRI, we reconstructed brain structures, estimated cerebral blood flow and oxygen consumption parameters, and developed a brain temperature calculation model founded on bioheat transfer theory. Employing computational cerebral hemodynamic simulation analysis, we established an intracranial arterial fluid dynamics model to predict brain temperature variations across different therapeutic hypothermia modalities. We introduce a noninvasive, spatially resolved, and optimized mathematical bio-heat model that synergizes model-predicted and MRI-derived data for brain temperature prediction and imaging. Our findings reveal that the brain temperature images generated by our model reflect distinct spatial variations across individual participants, aligning with experimentally observed temperatures.

Positive Transfer of Third Language Acquisition in English and French Sentence Patterns

Language takes sentences as the basic unit and sentence structures in different languages have their own characteristics. At present, with the in-depth development of economic globalization and the rapid enhancement of the demand for cross language communication, there are more and more trilingual users. Therefore, third language acquisition, as an emerging field of international and domestic research in recent years, has attracted extensive attention. As is known to all, the two languages, English and French, are closely related but different. Hence, in the process of learning French as a second foreign language, the positive and negative transfer of English to French is inevitable. Under the framework of third language acquisition and based on language transfer theory, this paper analyzes the positive transfer of sentence structure in the process of third language acquisition through the comparative analysis of four special sentence patterns in English and French, which is helpful for English majors to learn French as a second foreign language more concisely and efficiently.

(Invited) Understanding Potential Losses and pH Distribution in Electrochemical Nitrate Reduction Reaction to Ammonia

Electrochemical nitrate reduction reaction (NO3 -RR) to ammonia is a promising route to eliminate one of the major pollutants in surface and groundwater. When powered by renewable electricity, electrolysis provides a sustainable method to generate ammonia from nitrate ions, facilitating the transition from a linear to a circular economy. Optimizing the physical and chemical properties of electrolysis cells is crucial to make this process economically viable for widespread implementation. Here, we explore how the choice of current density, conductivity, pH, inter-electrode distance, membrane, catalyst, and buffer solution affect nitrate removal performance and efficiency. We develop a modeling framework to investigate the cell characteristics and fluid dynamics during electrochemical NO3-RR using both laminar and bubbly flows. To obtain more precise results, we employed the bubbly flow model (i.e., Multi-phase Fluid) to take into account how gas production near the electrode surface affects liquid velocity, pH distribution, and, ultimately, potential losses. We exploit mass transfer theory to include the current density effect on migration and diffusion. In the absence of a buffer solution, the Nernstian loss became a significant portion of the polarization loss, which increased with current density. We identified the positive effect of the membrane on energy efficiency to be more significant at smaller inter-electrode distances. This study provides insights into the origin of potential losses and pH distribution, enabling electrochemical cell optimization for renewable fuel synthesis. Next, we will discuss our recent work on designing single atom alloys (SAAs) for selective conversion of low concentration nitrate ions in natural wastewater streams from Dairy farm into ammonia. We benchmarked the catalyst's selectivity, activity, and stability following standard protocols established in the field of nitrogen fixation, including control experiments by using an electrolyte that does not contain nitrate ions and performing experiments under the same operating conditions using nitrogen isotopes (i.e., 14NO3 -, 15NO3 -).

Theoretical Study on Optoelectronic Properties of 1,4-Dithiazole-5,10-dihydrophenazine and Its B ← N-Fused Derivatives.

Recently, Liu et al. reported 1,4-dithiazole-5,10-dihydrophenazine (DTDHP) and its B ← N-fused derivative (DTHDHP-BF2), which were expected to show excellent optoelectronic properties (Angew. Chem. Int. Ed. 2022, 61, e202205893). However, their charge-transport performance and luminescence emission mechanisms have not been revealed. In this work, we used density functional theory (DFT) calculations to investigate the optoelectronic properties of DTDHP and DTHDHP-BF2 and analyzed the influence of the introduction of -BF2 on the basic parameters governing charge transport and injection in detail. Our calculation results showed that adding -BF2 could stabilize the frontier molecular orbitals and decrease the reorganization energies associated with electron transport due to the formation of B ← N bonds, and the intermolecular electronic couplings are greatly enhanced owing to the strong intermolecular F···H interactions. Based on the master equation coupled with the Marcus-Hush electron transfer theory, we theoretically predicted the charge transport properties of DTDHP and DTHDHP-BF2. The optimum hole mobility (3.87 cm2 V-1 S-1) and electron mobility (1.52 cm2 V-1 S-1) of DTHDHP-BF2 are, respectively, 3 and 9 times as high as the corresponding optimum values of compound DTDHP. Moreover, the assignments of multiple fluorescence bands in the experiment were confirmed by time-dependent density functional theory (TDDFT) calculations. The simulated emission spectra indicate that the experimental fluorescence maxima at 687 nm originates from the S1 → S0 transition of the double proton transfer phototautomer (T2H) of DTDHP, and the shoulder peak at ∼660 nm may be related to the excited-state single-proton transfer phototautomer (T1H); for DTHDHP-BF2, the experimental fluorescence maxima at 687 nm should be attributed to normal Stokes shifted emission, and the shifted fluorescence with a peak at 751 nm originates from the emission of the photodissociation product of DTHDHP-BF2.

Decoding Generation Z's habits: the augmented reality shift from gimmick to utility in omni-digital shopping

Purpose Building on technology acceptance and learning transfer theories, this study aims to evaluate the integration of mobile augmented reality (MAR) in omnichannel retailing touchpoints for Generation Z (or Gen Z)'s apparel shopping, assessing how habitual augmented reality (AR) use in nonretailing contexts impacts Gen Z's motivations, acceptance and use of MAR shopping apps. Design/methodology/approach A total of 562 participants downloaded a footwear MAR app and completed a survey. Data were analyzed using confirmatory factor analysis and multivariate regression to explore moderated mediation effects. Findings The study reveals a paradigm shift: Gen Z's habitual use of AR in social media (e.g. Snapchat and TikTok face filters) significantly influences their intent to use MAR in shopping, overshadowing hedonic motivations. This marks a transition from AR as a gimmick to a practical utility in omnichannel touchpoints, with performance expectancy emerging as a critical mediator in adopting MAR for utilitarian purposes. Research limitations/implications This study highlights how Gen Z consumers’ tech habits influence their pragmatic view of MAR, urging re-exploration of the main constructs of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model. Practical implications Findings suggest Gen Z values practicality over fun in MAR shopping apps, guiding marketers to emphasize tangible benefits for this demographic. Originality/value This research underscores the evolving perception of AR in retail among mobile natives, highlighting the shift from novelty to habitual utility. It offers strategic insights for integrating AR into omnichannel strategies, catering to the utilitarian expectations of Gen Z in the digital retail landscape.

The Analytical Theory of Water Activity in the Paddy Rice Drying Process

Drying involves the evaporation of moisture, accompanied by simultaneous heat transfer, mass transfer, and momentum transfer. While the diffusion law is considered an applicable model for explaining the drying phenomenon, the actual drying process cannot be accurately predicted using an analytical solution with a constant diffusion coefficient. Energy efficiency in the drying process is low due to an insufficient understanding of the mechanisms governing moisture migration from solids to air. The development of drying theory has stalled due to an unsolvable discrepancy between experimental results and analytical results. This study analyzes the effect of the binding energy of moisture in paddy rice on the diffusion coefficient. The theoretical relationship between water activity and drying rate in paddy rice was investigated, and the drying process was successfully explained by analyzing free energy transfer and transition theory. The mechanism of rice grain drying was described using a new theoretical solution for the drying process. These results provide new insights into the development of a scientific evaluation standard for assessing the efficiency of actual drying processes.

How social learning drives customer engagement in short video commerce: An attitude transfer perspective

Short video commerce has become increasingly prevalent; however, the factors affecting customer engagement have not been adequately examined. Drawing on social learning theory, attitude transfer theory and relationship norms theory, we explored how social learning behavior from three dimensions of atmospheric cues is associated with customers’ attitudes, how such attitudes mediate these engagement relationships, and also how the relationship norms moderate the mediating effect of attitude. The empirical findings obtained through the PLS-SEM largely support the hypotheses. The fsQCA results illustrate how combinations of antecedents can lead to high customer engagement. This study contributes to the literature on short video commerce, customer attitudes, and relationship norms, and provides influencers and managers with practical strategies to improve customer engagement.

Enhanced photocatalysis-Fenton degradation of levofloxacin by Fe doped BiOCl microspheres with rich surface oxygen vacancies: The accelerated redox cycle of ≡Fe(III)/≡Fe(II)

The photocatalysis-Fenton process was considered as an effective water treatment method due to its superior efficiency and technical feasibility, but its application was limited by ≡Fe(III)/≡Fe(II). Herein, Fe doped BiOCl hierarchical microspheres with rich surface oxygen vacancies (Fe/BiOCl OVs) were synthesized to modulate the interface structure for efficient photocatalysis-Fenton degradation of levofloxacin (LEV). The systematic characterization analysis confirmed the existence of strong interfacial interactions, which facilitated the activation of H2O2 and the degradation of LEV. The synergism of metal deposition, OVs and surface plasmon resonance (SPR) effect of Bi contributed to the enhanced light absorption ability and suppressed carriers recombination. The LEV degradation efficiency reached 99.0% after 60-min photocatalysis-Fenton reaction. The interfacial charge transfer theory demonstrated that the presence of oxygen vacancies accelerated the redox cycle of ≡Fe(III)/≡Fe(II), which promoted the H2O2 activation to produce ·OH. The ·OH and e- played important roles during the photocatalysis-Fenton degradation of LEV, while ·O2–, 1O2 and h+ also contributed in LEV degradation. Based on density-functional theory (DFT) calculations and LC-MS analysis, four degradation pathways of LEV were proposed. The photocatalysis-Fenton degradation process of Fe/BiOCl OVs effectively reduced the toxicity of LEV, which ultimately mitigated the harmful effects of antibiotics on the environment.

The eigenfunctions method in relation to diffuse reflection problems of the radiative energy transfer theory

Using the new method proposed earlier by the author, a solution of diffuse reflection problem is given in this report. A case of diffuse reflection of radiation from a semi-infinite absorbing and isotropically reflecting medium is presented, when in the elementary act of scattering there is a general law of redistribution of radiation by frequencies. In the approach presented here, conventionally called the method of ”decomposition of the resulting field” - DRF, in contrast to the previously widely used traditional method of ”decomposition of a single act” of scattering - DSA, the problem of diffuse reflection is solved without the use of any decomposition or special representation of the characteristic of the elementary act of scattering, i.e., the redistribution function of radiation by frequencies. The resulting radiation field, formed in the medium by means of multiple scatterings, is sought and constructed directly in the form of a bilinear series through a specially derived system of its own eigenfunctions. The physical basis of this approach lies in the fact that after each successive act of scattering, the field formed in the medium becomes more and more smoothed, so its direct representation in a decomposed form is more expedient than the traditionally used decomposition of a pre-known ”unsmoothed” characteristic of the elementary act of scattering.

Intramolecular energy transfer and its influence on the overall quantum yields of Eu3+ and Tb3+ chelates with dimethyl(phenylsulfonyl)amidophosphate ligands

Lanthanide chelates with dimethyl(phenylsulfonyl)amidophosphate (labeled as HSP) and Lewis base ligands (bpy = 2,2;-bipyridine and phen = 1,10-phenanthroline) of formula Na[Ln(SP)4] (1Ln), [Ln(SP)3bpy] (2Ln); [Ln(SP)3phen] (3Ln) (Ln = Eu3+, Gd3+, Tb3+ and Lu3+) were obtained and characterized by the X-ray, photoluminescence spectroscopy at 293 and 77 K as well as by intrinsic (QLnLn) and overall (QLnL) luminescence quantum yields. These phosphors manifest a very strong emission after excitation in the UV range of the molecular singlet states (S1) and two of them have very high QLnL values (Eu3+ and Tb3+ chelates of the type 2Ln and 3Ln). The dynamics of the excited states are discussed based on the intramolecular energy transfer theory, considering the dipole–dipole, the dipole-multipole and the exchange mechanisms. From the calculated energy transfer rates, a rate equation model was constructed and, thus, the theoretical QLnL can be obtained. A good correlation between the experimentally determined and theoretically calculated QLnL values was achieved, with the triplet state (T1) playing a predominant role in the energy transfer process for Eu3+ compounds, while the sensitization for Tb3+ compounds is dominated by the energy transfer rates from the singlet state (S1).

Phonetic Transfer of Teochew Dialect to English Pronunciation Acquisition

The transfer of phonological features in the first language to second language pronunciation during the process of second language acquisition has long been attested. A great majority of studies analyze the negative transfer from Chinese to English, yet few focus on Chinese dialects transfer to English. This paper aims to summarize the previous studies on Teochew phonological transfer to English acquisition, including consonant transfer, vowel transfer, and tonal transfer. Under the framework of Language Transfer Theory and Contrastive Analysis Hypotheses, research gaps and possible research directions for future studies will be put forward. This paper shows that phonetic transfer occurs in Teochew-speaking groups learning English, influenced by the dialects consonants, vowels and likely tones. Further research should explore transfer causes across different age groups and test classroom phonetic correction methods for Teochew-speaking English learners.

Is authenticity key? Mobilization by social media influencers versus celebrities and young people's political participation

AbstractPopular personalities like social media influencers (SMIs) and traditional celebrities can not only be used in the context of for‐profit marketing, but also help non‐profit campaigns address young audiences. Across three experiments (NTotal = 1233), we compared the effectiveness of SMIs’ mobilizing appeals in relation to a humanitarian issue to those made by traditional celebrities. Inspired by meaning transfer theory, we expected SMIs and their endorsements to be perceived as particularly authentic, elucidating their possibly unique influence on young people's participation. In Study 1, mobilizing appeals from popular personalities generally increased participation intentions among young people, but SMIs were not more effective in this role than celebrities. Study 2 and Study 3 showed that effects of the two source types are dependent on gender. Controlling for source and endorsement authenticity, we found that SMIs were better at directly mobilizing young women for political participation than celebrities. In contrast, young men were more easily convinced by celebrities to engage in political action, due to higher authenticity attributed to celebrities’ endorsements. While SMIs were not consistently perceived as more authentic than celebrities, the success of popular personalities’ mobilizing appeals can generally be well explained by perceived source authenticity and perceived authenticity of endorsements.

STRAIN TRANSFER ANALYSIS OF A FOUR-LAYER EMBEDDED FIBER OPTIC SENSING MODEL IN AN ELASTIC STATE

Optical fiber grating strain sensors are currently utilized in a variety of structural health monitoring applications. The encapsulated fiber optic sensor is unable to completely detect the strain of the structure, so the strain transfer theory should be established to maximize the strain sensing of fiber. It is required to explore the embedded four-layer fiber optic sensing model to create a more plausible strain transfer error hypothesis. Based on the three-layer fiber optic sensing model, the Goodman assumption and Fourier series approach were presented to study the strain transfer efficiency of the four-layer model in the elastic state. First, the physical quantity to be analyzed is determined, and finally the radius, interlayer bonding coefficient and elastic modulus are selected as the parameters affecting the strain transfer efficiency. The length range of efficiency evaluation is 0–2.5[Formula: see text]m, and the transfer efficiency under different radii is above 0.90 when the length [Formula: see text][Formula: see text]m. The interlayer bonding coefficient [Formula: see text] between [Formula: see text][Formula: see text]N/m3 and [Formula: see text][Formula: see text]N/m3 has little impact on the transfer efficiency, and the same is true for [Formula: see text], so it cannot be considered in practice. When [Formula: see text] is between [Formula: see text][Formula: see text]N/m3 and [Formula: see text][Formula: see text]N/m3 and the length [Formula: see text][Formula: see text]m, the strain transfer coefficient reaches 95%. The influence of elastic modulus on the transfer efficiency is very significant when [Formula: see text][Formula: see text]m. The four-layer model performs similarly to the three-layer model within the paste length range of 1.0[Formula: see text]m, but has a superior strain transfer effect when the pasted length exceeds 1.0[Formula: see text]m. As the radius of the protective layer rises, the effect of strain transfer deteriorates.

Application Strategies of Virtual Reality Technology in the Teaching Design of Vocational Courses from the Perspective of Learning Transfer Theory

With the rapid development of virtual reality technology, it has been widely used in the field of education. It can promote the development of learning transfer, which is an effective method for learners to learn effectively. Therefore, this paper describes how to use virtual reality technology to achieve learning transfer in order to achieve teaching goals and improve learning efficiency.

Maintaining the impact of action-oriented entrepreneurship training: the role of error mastery orientation for training transfer in an active learning setting

ABSTRACT Action-oriented entrepreneurship training can boost entrepreneurship, but positive short-term effects often decay over time. Based on training transfer theory, we argue that error mastery orientation is a personal characteristic that affects the maintenance of training outcomes over time in the transfer context of entrepreneurship. We implemented an action-oriented entrepreneurship training at a university in Uganda and collected data from training participants before (NT0 = 175) and after the training programme (NT1 = 164) as well as at a 1-year follow-up measurement (NT2 = 52). Growth curve models showed that the participants experienced an increase in entrepreneurial action and new venture creation over time. Furthermore, error mastery orientation influenced the maintenance of entrepreneurial action and new venture creation over time. The study contributes to theories of entrepreneurship training and training transfer by demonstrating that error mastery orientation is a boundary condition of the long-term effectiveness of active learning interventions, such as action-oriented entrepreneurship training.