Mobile Domain Research Articles

Distinct mechanisms drive divergent phenotypes in hypertrophic and dilated cardiomyopathy associated TPM1 variants.

Hypertrophic and dilated cardiomyopathies (HCM and DCM, respectively) are inherited disorders that may be caused by mutations to the same sarcomeric protein but have completely different clinical phenotypes. The precise mechanisms by which point mutations within the same gene bring about phenotypic diversity remain unclear. Our objective has been to develop a mechanistic explanation of diverging phenotypes in two TPM1 mutations, E62Q (HCM) and E54K (DCM). Drawing on data from the literature and experiments with stem cell-derived cardiomyocytes expressing the TPM1 mutations of interest, we constructed computational simulations that provide plausible explanations of the distinct muscle contractility caused by each variant. In E62Q, increased calcium sensitivity and hypercontractility was explained most accurately by a reduction in effective molecular stiffness of tropomyosin and alterations in its interactions with the actin thin filament that favor the 'closed' regulatory state. By contrast, the E54K mutation appeared to act via long-range allosteric interactions to increase the association rate of the C-terminal troponin I mobile domain to tropomyosin/actin. These mutation-linked molecular events produced diverging alterations in gene expression that can be observed in human engineered heart tissues. Modulators of myosin activity confirmed our proposed mechanisms by rescuing normal contractile behavior in accordance with predictions.

Multicore memristor from electrically readable nanoscopic racetracks.

The manipulation and detection of mobile domain walls in nanoscopic magnetic wires underlies the development of multibit memories. The studies of such domain walls have focused on macroscopic wires that allow for optical detection by using magneto-optic effects. In this study, we demonstrated the electrical tracking with a spatial resolution of better than 40 nm of multiple mobile domain walls in nanoscopic racetracks, using a set of anomalous Hall detectors integrated into the racetracks. Electrical time-series signals from the Hall detectors allow for the static and dynamic phase space visualization of the dynamics of a domain wall or multiple domain walls that can be described by a multicore memristor model. The domain wall dynamics and stochasticity can be controlled in racetracks even to deep submicron dimensions.

Molecular architecture of chitin and chitosan-dominated cell walls in zygomycetous fungal pathogens by solid-state NMR

Zygomycetous fungal infections pose an emerging medical threat among individuals with compromised immunity and metabolic abnormalities. Our pathophysiological understanding of these infections, particularly the role of fungal cell walls in growth and immune response, remains limited. Here we conducted multidimensional solid-state NMR analysis to examine cell walls in five Mucorales species, including key mucormycosis causative agents like Rhizopus and Mucor species. We show that the rigid core of the cell wall primarily comprises highly polymorphic chitin and chitosan, with minimal quantities of β-glucans linked to a specific chitin subtype. Chitosan emerges as a pivotal molecule preserving hydration and dynamics. Some proteins are entrapped within this semi-crystalline chitin/chitosan layer, stabilized by the sidechains of hydrophobic amino acid residues, and situated distantly from β-glucans. The mobile domain contains galactan- and mannan-based polysaccharides, along with polymeric α-fucoses. Treatment with the chitin synthase inhibitor nikkomycin removes the β-glucan-chitin/chitosan complex, leaving the other chitin and chitosan allomorphs untouched while simultaneously thickening and rigidifying the cell wall. These findings shed light on the organization of Mucorales cell walls and emphasize the necessity for a deeper understanding of the diverse families of chitin synthases and deacetylases as potential targets for novel antifungal therapies.

Observation of Antiferroelectric Domain Walls in a Uniaxial Hyperferroelectric.

Ferroelectric domain walls are a rich source of emergent electronic properties and unusual polar order. Recent studies show that the configuration of ferroelectric walls can go well beyond the conventional Ising-type structure. Néel-, Bloch-, and vortex-like polar patterns have been observed, displaying strong similarities with the spin textures at magnetic domain walls. Here, the discovery of antiferroelectric domain walls in the uniaxial ferroelectric Pb5Ge3O11 is reported. Highly mobile domain walls with an alternating displacement of Pb atoms are resolved, resulting in a cyclic 180° flip of dipole direction within the wall. Density functional theory calculations show that Pb5Ge3O11 is hyperferroelectric, allowing the system to overcome the depolarization fields that usually suppress the antiparallel ordering of dipoles along the longitudinal direction. Interestingly, the antiferroelectric walls observed under the electron beam are energetically more costly than basic head-to-head or tail-to-tail walls. The results suggest a new type of excited domain-wall state, expanding previous studies on ferroelectric domain walls into the realm of antiferroic phenomena.

Hydrophobic Residues Promote Interfacial Activation of Candida rugosa Lipase: A Study of Rotational Dynamics.

Microbial lipases constitute a class of biocatalysts with the ability to cleave ester linkages of long-chain triglycerides. This property makes them particularly attractive for industrial applications ranging from food processing to pharmaceutical preparation. Among such enzymes, Candida rugosa lipase (CRL) is one of the most frequently used in biotransformation. A notable feature of CRL, among many lipases, is its propensity for interfacial activation: these enzymes exhibit elevated catalytic rates when acting at the interface between aqueous and hydrophobic phases. Notably, this phenomenon can be attributed to the presence of a mobile lid domain, which in its closed state occludes the enzyme active site. To advance our understanding of interfacial activation, we explore the dynamics of CRL rotation at the octane-water interface in this work. To do so, we employ molecular dynamics and umbrella sampling to evaluate the free energy of rotation of the enzyme at the interface. We identify a global minimum in the rotational landscape that coincides with lid opening at the interface. Additionally, we investigate the role of surface residues outside the lid domain as they serve to instigate rotation of the lid toward the aqueous phase. In doing so, we identify a patch of leucine residues which when mutated to glycine impose a barrier to rotation that maintains the enzyme in the inactive (closed lid) state on the order of 1 μs. Importantly, this study presents a novel quantification of the rotational free energy corresponding to CRL lid opening at the octane-water interface. The accompanying mutagenesis study likewise clarifies the role of hydrophobic surface residues in the transition. As such, this work provides valuable insight into the phenomenon of interfacial activation that might open up new avenues for manipulating the microenvironment of industrially relevant lipases, affording enhanced control over the enzyme state.

Giant Piezoelectric Effects of Topological Structures in Stretched Ferroelectric Membranes.

Freestanding ferroelectric oxide membranes emerge as a promising platform for exploring the interplay between topological polar ordering and dipolar interactions that are continuously tunable by strain. Our investigations combining density functional theory (DFT) and deep-learning-assisted molecular dynamics simulations demonstrate that DFT-predicted strain-driven morphotropic phase boundary involving monoclinic phases manifest as diverse domain structures at room temperatures, featuring continuous distributions of dipole orientations and mobile domain walls. Detailed analysis of dynamic structures reveals that the enhanced piezoelectric response observed in stretched PbTiO_{3} membranes results from small-angle rotations of dipoles at domain walls, distinct from conventional polarization rotation mechanism and adaptive phase theory inferred from static structures. We identify a ferroelectric topological structure, termed "dipole spiral," which exhibits a giant intrinsic piezoelectric response (>320 pC/N). This helical structure, possessing a rotational zero-energy mode, unlocks new possibilities for exploring chiral phonon dynamics and dipolar Dzyaloshinskii-Moriya-like interactions.

BB-GeoGPT: A framework for learning a large language model for geographic information science

Large language models (LLMs) exhibit impressive capabilities across diverse tasks in natural language processing. Nevertheless, challenges arise such as large model parameter size and limited model accessibility through APIs such as ChatGPT and GPT-4, which prohibits the model deployment on mobile devices and domain adaptation or fine-tuning. Moreover, while LLMs excel in general domains, their performance in specialized fields such as GIS may not always align with the expectations of domain experts. This is primarily attributed to the diverse disciplinary origins of the training data, which often lack comprehensive coverage and treatment of knowledge specific to individual disciplines (e.g., GIS). Therefore, there is a crucial need to train and adapt LLMs specifically designed for different professional fields. In this paper, our focus is on the GIS domain, where we introduce BB(BaBy)-GeoGPT, a large language model with GIS-specific knowledge. To achieve this goal, we curated a comprehensive set of resources, comprising model pretraining data (BB-GeoPT, 26,907 documents), supervised fine-tuning data (BB-GeoSFT, 35,876 instructions), and evaluation data (BB-GeoEval, 600 objective questions and 150 subjective questions). BB-GeoGPT is developed by first adapting an open-source general-domain LLM, the LLaMA-2-7B model, to our pretraining data. Subsequently, we use instruction tuning to further fine-tune the model on our BB-GeoSFT. Through extensive experiments on the evaluation dataset, BB-GeoGPT demonstrates improvements ranging from 10.55% to 47.57% for objective questions and from 7.87% to 27.73% for subjective questions, when compared to general LLMs of similar size in terms of accuracy. Moreover, our data collection strategy and the amassed data can serve as a foundation for advancing LLM research in the GIS domain, fostering further development.

Assessing the quality of experience in wireless networks for multimedia applications: A comprehensive analysis utilizing deep learning-based techniques

In the context of the burgeoning progression of wireless network technology and the corresponding escalation in the demand for mobile Internet-based multimedia transmission services, the task of preserving and augmenting user satisfaction has emerged as an imperative concern. This necessitates a sophisticated and accurate evaluation of multimedia service quality within the sphere of wireless networks. To systematically address the nuanced issue of user experience quality, the present study introduces a novel method for evaluating multimedia Quality of Experience (QoE) in wireless networks, employing an advanced deep learning model as the underlying analytical framework. Initially, the research undertakes the task of modeling the video session process, giving due consideration to the status of each temporal interval within the session's architecture. Subsequently, the challenge of QoE prediction is dissected and investigated through the lens of recurrent neural networks (RNNs), culminating in the proposition of an all-encompassing QoE prediction model that harmoniously integrates video information, Quality of Service (QoS) data, user behavior analytics, and facial expression analysis. The empirical segment of this research serves to validate the efficacy of the suggested video QoE evaluation method, engaging both quantitative and qualitative comparison metrics with contemporaneous state-of-the-art QoE models, employing the RTVCQoE dataset as the empirical foundation. The experimental findings illuminate that the QoE model elucidated in this study transcends competing models in performance metrics such as PLCC, SRCC, and KRCC. Consequently, this investigation stands as a seminal contribution to academic literature, furnishing an exacting and dependable QoE evaluation methodology. Such a contribution augments the user experience landscape in multimedia services within wireless networks, and instigates further scholarly exploration and technological innovation in the mobile Internet domain.

Uncovering the Molecular Composition and Architecture of the Bacillus subtilis Biofilm via Solid-State NMR Spectroscopy.

The complex and dynamic compositions of biofilms, along with their sophisticated structural assembly mechanisms, endow them with exceptional capabilities to thrive in diverse conditions that are typically unfavorable for individual cells. Characterizing biofilms in their native state is significantly challenging due to their intrinsic complexities and the limited availability of noninvasive techniques. Here, we utilized solid-state nuclear magnetic resonance (NMR) spectroscopy to analyze Bacillus subtilis biofilms in-depth. Our data uncover a dynamically distinct organization within the biofilm: a dominant, hydrophilic, and mobile framework interspersed with minor, rigid cores of limited water accessibility. In these heterogeneous rigid cores, the major components are largely self-assembled. TasA fibers, the most robust elements, further provide a degree of mechanical support for the cell aggregates and some lipid vesicles. Notably, rigid cell aggregates can persist even without the major extracellular polymeric substance (EPS) polymers, although this leads to slight variations in their rigidity and water accessibility. Exopolysaccharides are exclusively present in the mobile domain, playing a pivotal role in its water retention property. Specifically, all water molecules are tightly bound within the biofilm matrix. These findings reveal a dual-layered defensive strategy within the biofilm: a diffusion barrier through limited water mobility in the mobile phase and a physical barrier posed by limited water accessibility in the rigid phase. Complementing these discoveries, our comprehensive, in situ compositional analysis is not only essential for delineating the sophisticated biofilm architecture but also reveals the presence of alternative genetic mechanisms for synthesizing exopolysaccharides beyond the known pathway.

Out of step: Code clone detection for mobile apps across different language codebases

Clone detection provides insight about replicated fragments in a code base. With the rise of multi-language code bases, new techniques addressing cross-language code clone detection enable the analysis of polyglot systems. Such techniques have not yet been applied to the mobile apps' domain, which are naturally polyglot. Native mobile app developers must synchronize their code base in at least two different programming languages. App synchronization is a difficult and time-consuming maintenance task, as features can rapidly diverge between platforms, and feature identification must be performed manually. The end goal of this work is to provide an analysis framework to reduce the impact of app synchronization. A first step in this direction consists in a structural algorithm for cross-language clone detection, called Out of Step, exploiting the idea behind enriched concrete syntax trees. Such trees are used as a common intermediate representation built from programming languages' grammars, to detect similarities between app code bases. Our technique finds code similarities with over 80% for the evaluation of language features, where Type 1-3 clones are manually injected for the analysis of both single- and cross-language cases for Kotlin and Dart. We validate the feasibility and correctness of our approach through the evaluation of the main language constructs for Kotlin and Dart. To validate the effectiveness we use a first case study detecting clones between 12 sorting algorithms across Kotlin and Dart, identifying clone similarities with a precision between 67% and 95%. Finally, we use a corpus of 144 mobile apps implemented in Kotlin and Dart, correctly identifying code similarities for the full application logic.

Electron Transfer of Cellobiose Dehydrogenase in Polyethyleneimine Films

AbstractCellobiose dehydrogenase (CDH) is applied as a bioelectrocatalyst in biosensors because its mobile cytochrome domain is capable of direct electron transfer. This study investigates the electron transfer mechanism of CDH molecules embedded in the polycation polyethyleneimine (PEI), which has been reported as a current‐boosting component of CDH‐based biosensors. By immobilizing different concentrations of CDH and its isolated cytochrome domain in PEI films, we found that increasing concentrations of cytochrome enhanced the film conductivity (up to 251±8 mS cm−1) through improved electron transfer between the protein redox centers. The increased electrical conductivity of the film contacts CDH molecules at a greater distance from the electrode. The cross‐linker poly(ethylene glycol) diglycidyl ether improves the packing and contacting of the cytochrome domains, whereas glutaraldehyde reduces the current obtained. Deglycosylation of CDH enhances the conductivity of enzyme‐polymer films by up to 34 %, implying a higher number of productive electron‐hopping events between cytochrome domains due to enhanced mobility or reduced shielding. By balancing negative charges on the CDH surface at neutral and alkaline pH, PEI increases the interdomain electron transfer and the electrical film conductivity. The resulting increased current output is relevant for in vivo bioanalytical applications.

Identifying Key Factors Shaping New Users' Intentions in Mobile Investment Applications

This paper seeks to examine the key factors predicting the behavioral intentions of mobile investment app users. By understanding these influencing factors, the ultimate goal is to encourage more people to adopt and accept these apps. Adopting an integrated approach, the research combines different UTAUT2 (Unified Theory of Acceptance and Use of Technology 2) constructs for hypothesis development and to evaluate the effects on users’ adoption and behavior use of such platforms. Through an online survey among 161 users of popular mobile investing applications in Indonesia and applying structural equation modeling for analysis with the SmartPLS statistical tool, this research contributes empirical evidence on factors that drive user behavior in the mobile investment domain. The final model provided a good basis for proving the hypotheses presented and the factors can account for 65.6% of the variability in mobile investment app behavior intention. The results show that Habit, Performance Expectancy, and Effort Expectancy are the key factors impacting individual behavioral intention to get mobile investment. These findings will assist researchers and professionals in understanding why individuals utilize mobile investment apps. More importantly, this study's recommendations will help utilize these aspects to enhance these apps’ benefits.

The reversible activation of norovirus by metal ions.

Murine norovirus (MNV) undergoes extremely large conformational changes in response to the environment. The T = 3 icosahedral capsid is composed of 180 copies of ~58-kDa VP1 comprised of N-terminus (N), shell (S), and C-terminal protruding (P) domains. At neutral pH, the P domains are loosely tethered to the shell and float ~15 Å above the surface. At low pH or in the presence of bile salts, the P domain drops onto the shell and this movement is accompanied by conformational changes within the P domain that enhance receptor interactions while blocking antibody binding. While previous crystallographic studies identified metal binding sites in the isolated P domain, the ~2.7-Å cryo-electron microscopy structures of MNV in the presence of Mg2+ or Ca2+ presented here show that metal ions can recapitulate the contraction observed at low pH or in the presence of bile. Further, we show that these conformational changes are reversed by dialysis against EDTA. As observed in the P domain crystal structures, metal ions bind to and contract the G'H' loop. This movement is correlated with the lifting of the C'D' loop and rotation of the P domain dimers about each other, exposing the bile salt binding pocket. Isothermal titration calorimetry experiments presented here demonstrate that the activation signals (bile salts, low pH, and metal ions) act in a synergistic manner that, individually, all result in the same activated structure. We present a model whereby these reversible conformational changes represent a uniquely dynamic and tissue-specific structural adaptation to the in vivo environment.IMPORTANCEThe highly mobile protruding domains on the calicivirus capsids are recognized by cell receptor(s) and antibodies. At neutral pH, they float ~15 Å above the shell but at low pH or in the presence of bile salts, they contract onto the surface. Concomitantly, changes within the P domain block antibody binding while enhancing receptor binding. While we previously demonstrated that metals also block antibody binding, it was unknown whether they might also cause similar conformational changes in the virion. Here, we present the near atomic cryo-electron microscopy structures of infectious murine norovirus (MNV) in the presence of calcium or magnesium ions. The metal ions reversibly induce the same P domain contraction as low pH and bile salts and act in a synergistic manner with the other stimuli. We propose that, unlike most other viruses, MNV facilely changes conformations as a unique means to escape immune surveillance as it moves through various tissues.

The effect of perceived corporate social responsibility on purchase intention in mobile commerce: mediating roles of trusting beliefs and satisfaction

PurposeCorporate social responsibility (CSR) activities of companies have been reported to generate favorable consumer attitudes towards the business, which in turn, encourages positive consumer behavior. But the application of this conclusion in the mobile commerce domain remains limited. Drawing on social exchange theory, the authors examined the mediating role of trusting beliefs and satisfaction in the relationship between CSR and purchase intention in mobile commerce.Design/methodology/approachUsing nonprobability convenience sampling, the authors administered a cross-sectional survey with 314 students from Keimyung University in Korea. Initially, SPSS-Amos was utilized to run confirmatory factor analysis. The proposed hypotheses were tested using structural equation modeling.FindingsThis study showed that two components of trusting beliefs, namely benevolence and competence, had a positive effect on the association between CSR and the purchase intention on mobile shopping applications. This relationship was partially mediated by trusting beliefs. Further findings demonstrated that the impact of CSR on purchase intention was also partially mediated by satisfaction.Originality/valueThe authors' contribution includes extending the social exchange theory to the mobile commerce setting by establishing mechanisms that explain the ways CSR influences purchase intention in the mobile commerce framework. The authors integrated trusting beliefs and satisfaction in the CRS chain link with purchase intention. Additionally, the authors examined the individual effects of three trusting beliefs components. Based on the results, the authors proposed suggestions for the mobile shopping application business on the methods they can implement to boost the outcomes of their CSR activities.

Phased secondary small interfering RNAs in Camellia sinensis var. assamica.

Phased secondary small interfering RNAs (phasiRNAs) in plants play important roles in regulating genome stability, plant development and stress adaption. Camellia sinensis var. assamica has immense economic, medicinal and cultural significance. However, there are still no studies of phasiRNAs and their putative functions in this valuable plant. We identified 476 and 43 PHAS loci which generated 4290 twenty one nucleotide (nt) and 264 twenty four nt phasiRNAs, respectively. Moreover, the analysis of degradome revealed more than 35000 potential targets for these phasiRNAs. We identified several conserved 21nt phasiRNA generation pathways in tea plant, including miR390 → TAS3, miR482/miR2118 → NB-LRR, miR393 → F-box, miR828 → MYB/TAS4, and miR7122 → PPR in this study. Furthermore, we found that some transposase and plant mobile domain genes could generate phasiRNAs. Our results show that phasiRNAs target genes in the same family in cis- or trans-manners, and different members of the same gene family may generate the same phasiRNAs. The phasiRNAs, generated by transposase and plant mobile domain genes, and their targets, suggest that phasiRNAs may be involved in the inhibition of transposable elements in tea plant. To summarize, these results provide a comprehensive view of phasiRNAs in Camellia sinensis var. assamica.

Perceived Privacy Risks and Trust Dynamics: Rethinking Mobile Payment Adoption in Indonesia

Purpose: This research aimed to explore and understand the intricacies of mobile payments within the Indonesian context, particularly focusing on the dynamic relationship between perceived privacy risks, trust, and the intention to adopt mobile payment services. 
 Design/methodology/approach: The study employed a hybrid research methodology, integrating qualitative and quantitative analyses. Specifically, this research utilized Confirmatory Factor Analysis (CFA) model that evaluated the alignment of the proposed model with the observed data. The mobile payment privacy policies were analyzed through the identification of key textual features.
 Findings: The study revealed a revealed positive relationship between certain perceived risks (psychological and financial) and trust, suggesting that certain perceived risks might inadvertently foster trust. Conversely, time risk and performance risk negatively influence trust. This research also emphasized the pivotal role of trust in shaping user intentions toward mobile payments. Further findings highlighted the complex nature of privacy risks in the context of mobile payments and the significant surge in adoption rates during the COVID-19 pandemic.
 Research limitations/implications: This research was bound by a limited dataset size, which could influence the derived results. Potential inaccuracies from incomplete questionnaires might introduce non-statistical errors. With the ever-evolving nature of mobile payments, future studies could benefit from refining the research framework and incorporating additional variables.
 Originality/value: This study uniquely delves into the mobile payment scenario in Indonesia, challenging traditional views of risk and trust and offering fresh perspectives on consumer behavior. The innovative approach to analyzing mobile payment privacy policies and the spotlight on the role of perceived risks and trust in adoption intention set it apart. Its findings serve as a blueprint for both academics and practitioners in the mobile payment domain.

Discovering the synergies among information literacy and mobile learning in higher education

This research aims at exploring the synergies and relationships between information literacy and mobile learning domains in Higher Education environments. The method is based on a narrative literature review of available articles in English (2006-2022) and one selection of the most relevant items using qualitative content analysis, to discover the main topics and their relationships. Results confirm that information literacy and m-learning are close and interrelated domains. Mobile technologies and academic libraries perform an intermediating role in those relationships. With the support of mobile technologies, the progressive integration of information literacy and mobile learning may lead the academic library to experience and channel an enhanced service. The greatest challenge consists in adapting the concepts and behaviors informational and pedagogical to a technology that evolves relentlessly but, in any event, ought to point to individual and community needs. The academic library is a pivotal entity in channeling the progress of IL and mobile learning.

Insights into virulence: structure classification of the Vibrio parahaemolyticus RIMD mobilome.

The pandemic Vpar strain RIMD causes seafood-borne illness worldwide. Previous comparative genomic studies have revealed pathogenicity islands in RIMD that contribute to the success of the strain in infection. However, not all virulence determinants have been identified, and many of the proteins encoded in known pathogenicity islands are of unknown function. Based on the EOCD database, we used evolution-based classification of structure models for the RIMD proteome to improve our functional understanding of virulence determinants acquired by the pandemic strain. We further identify and classify previously unknown mobile protein domains as well as fast evolving residue positions in structure models that contribute to virulence and adaptation with respect to a pre-pandemic strain. Our work highlights key contributions of phage in mediating seafood born illness, suggesting this strain balances its avoidance of phage predators with its successful colonization of human hosts.

Co-operative non-orthogonal multiple access networks: a survey

Purpose The purpose of this paper is to present an up-to-date survey on the non-orthogonal multiple access (NOMA) technique with co-operative strategy, a fast-evolving fifth-generation (5 G) technology. NOMA is used for serving many mobile users, both in power and code domains. This paper considers the power-domain NOMA, which is now discussed as NOMA. Design/methodology/approach The first part of the paper discusses NOMA-based cooperative relay systems using different relay strategies over different channel models. In various research works, the analytical expressions of many performance metrics were derived, measured and simulated for better performance of the NOMA systems. In the second part, a brief introduction to diversity techniques is discussed. The multiple input and multiple output system merged with cooperative NOMA technology, and its future challenges were also presented in this part. In the third part, the paper surveys some new conceptions such as cognitive radio, index modulation multiple access, space-shift keying and reconfigurable intelligent surface that can be combined with NOMA systems for better performance. Findings The paper presents a brief survey of diverse research projects being carried out in the field of NOMA. The paper also surveyed two different relaying strategies that were implemented in cooperative NOMA over different channels and compared several performance parameters that were evaluated and derived in these implementations. Originality/value The paper provides a scope for recognizable future work and presents a brief idea of the new techniques that can be united with NOMA for better performance in wireless systems.

Territorial Edge Computing Enabling Green Tourism and Green Development of CIPP Model Analytics

INTRODUCTION: Eco-development is an essential national strategy, which has become an effective way to sustain China's tourism industry in the new era. Nowadays, the problem of climate change is becoming more and more serious, and the restriction on natural resources and the environment is becoming more and more serious. Improving the economic efficiency of the tourism industry and advancing the reform of its economic efficiency are critical priorities for the high-quality development of the tourism industry. Therefore, it is crucial for edge computing to empower green tourism and green growth.
 OBJECTIVES: The purpose is to enhance the development of green tourism in China and promote the sustainable development of China's tourism industry; to solve the problems of severe environmental damage and resource consumption in the development of the tourism industry; and to promote the application of information technology, such as full-area edge computing, in the development of China's tourism industry, and to realize the combination of the CIPP education concept and the concept of green tourism promotion.
 METHODS:Firstly, the authors find the necessity of researching the CIPP model of green tourism and green development empowered by the whole domain edge computing by using the study of literature and theory; secondly, the Author analyzes the importance of the education of the concept of green tourism and green development by using the method of analyzing the CIPP model; and lastly, the authors measure and enhance the effectiveness of green tourism and green development by using the mobile whole domain edge computing.
 RESULTS: The whole-domain edge computing has better stability for green tourism and green development measurement, and the use of the CIPP model can better deepen tourists' tourism concepts of green tourism and green development and promote green tourism development.
 CONCLUSION: The level of innovation in China's tourism industry is improving, and multivariate analysis shows that innovation is the key force driving industrial change and quality development. Therefore, it is essential to continue supporting an innovative and technology-driven tourism industry and continuously improving its innovative technologies and content. Greater emphasis will be placed on training and improving the quality of tourism staff. Tourism talent is the basis for innovation in tourism management and services and a critical factor in the development of an innovative system for tourism.