Interconnection Networks Research Articles

Exploring neural mechanisms of gender differences in bodily emotion recognition: a time-frequency analysis and network analysis study

BackgroundThis study aimed to explore the neural mechanisms underlying gender differences in recognizing emotional expressions conveyed through body language. Utilizing electroencephalogram (EEG) recordings, we examined the impact of gender on neural responses through time-frequency analysis and network analysis to uncover gender disparities in bodily emotion recognition.MethodsThe study included 34 participants, consisting of 18 males and 16 females. A 2 × 2 mixed design was employed, with gender (male and female) and bodily emotion (happy and sad) as the independent variables. Both behavioral and EEG data were collected simultaneously.ResultsMales demonstrated more stable brain activity patterns when recognizing different bodily emotions, while females showed more intricate and highly interconnected brain activity networks, especially when identifying negative emotions like sadness. Differences based on gender were also observed in the significance of brain regions; males had greater importance in central brain areas, whereas females exhibited higher significance in the parietal lobe.ConclusionGender differences do influence the recognition of bodily emotions to some extent. The primary aim of this study was to explore the neural mechanisms underlying gender differences in bodily emotion recognition, with a particular focus on time-frequency analysis and network analysis based on electroencephalogram (EEG) recordings. By elucidating the role of gender in cognitive development, this study contributes to early detection and intervention.

Bubble-Swap Flow Control

Deadlock-free adaptive routing is extensively adopted in both on-chip and off-chip interconnection networks to improve communication bandwidth and reduce latency. Introducing virtual channels (VCs), also known as virtual lanes (VLs), is the mainstream technique to handle deadlocks incurred by adaptive routing, and provides VC preemption for higher priority traffic. However, existing deadlock-free flow control schemes either underutilize memory resources due to inefficient buffer management to simplify hardware implementation, or rely on complicated global coordination and synchronization with very high hardware complexity. Most hardware-friendly schemes use more VCs and memory resources to enable ease of implementation of deadlock-free flow control. In contrast, sophisticated schemes achieve deadlock freedom with minimum VC cost, even eliminating additional buffer requirement through the complicated control mechanisms. In this work, we rethink the root cause of the deadlock problem from a different perspective by considering it as a lack of credit, which makes us find an efficient solution to the deadlock problem. With minor modification of credit accumulation and return, our proposed bubble-swap flow control (BSFC) ensures atomic buffer swap between two adjacent routers only based on local credit status while making full use of the buffer space. BSFC achieves a better tradeoff between implementation complexity and memory overhead and can be easily integrated in the industrial router with no modification on buffer allocation or port arbitration. The simulation results demonstrate BSFC outperforms existing bubble-based deadlock-free methods by average 64% higher throughput. We further propose a credit reservation strategy to eliminate the escape virtual channel (VC) cost for fully adaptive routing implementation. The synthesizing results demonstrate that BSFC along with credit reservation (BSFC-CR) can reduce the area and power consumption by respectively 29% and 26% in contrast to the traditional critical bubble scheme (CBS).

An Alginate/Gelatin Injectable Hydrogel Containing Au Nanoparticles for Transplantation of Embryonic Mouse Cardiomyocytes in Myocardial Repair.

In advancing cardiac tissue engineering (CTE), the development of injectable hydrogels mirroring myocardial properties is pivotal. The designed hydrogels must not only support cardiac cell growth but also have to be conductive to properly promote the functionalities of cardiac cells. Here, a facile approach is developed to incorporate gold nanoparticles (AuNPs) into an injectable hydrogel composed of Alginate (Alg) and Gelatin (Gel). The resultant nanocomposite hydrogel boasts a porous interconnected network and superior conductivity (2.04 × 10-4 Scm-1) compared to the base Alg/Gel hydrogel. Hydrogel hydration and in vitro degradation profiles affirm their suitability as carriers for cardiac cells. Importantly, Alg/Gel+AuNPs hydrogels exhibit no toxicity to mouse Embryonic Cardiac Cells (mECCs) over 7 days, elevating connexin 43 (Cx43) and cardiac troponin T (CTnT) gene expression compared to controls. Then, the Alg/Gel+AuNPs hydrogel is used as a carrier for intramyocardial delivery of mECCs in rats with myocardial infarction. The significant increase in α-Smooth Muscle Actin (α-SMA) and cardiac troponin T (CTnT) expression along with the increase in ejection fraction (EF), smaller infarction size, less fibrosis area confirmed that the hydrogel efficiently promoted the transmission of mechanical and electrical signals between transplanted cells and surrounding tissue.

From Turns to Networks: Multiplicity in Rhetorical Agency

This article examines rhetorical agency by using advanced bibliometric methods, arguing for a refined approach that recognizes multiple forms of rhetorical agency. By employing methodologies from information science, this study also illuminates often-overlooked infrastructural dynamics among scholars, specifically in how scholarship has materialized and enforced through textual citations. The analysis supplements traditional historical narratives of theory, introducing a dynamic conceptualization of rhetorical agency as an interconnected network. This paper forwards a multifaceted understanding of rhetorical agency, envisioned as comprising at least five intertwined networks. This article consequently provides a novel approach for analyzing disciplinary history by considering how citationality carries material traces of the past.

The Connectivity and Fault Diameter of Strong Product Graph of n Paths

Fault diameter is an important parameter to measure the reliability and efficiency of interconnection networks. Strong product is an efficient method to construct large graphs from small graphs. In this paper, we study the fault diameter of strong product graph of [Formula: see text] paths. By recursion and mathematical induction, combined with the connectivity of the strong product graph of complete graph and connected graph, the connectivity of the strong product graph of [Formula: see text] paths is determined. By defining two [Formula: see text]-dimensional vectors [Formula: see text] and [Formula: see text] to construct internally vertex disjoint paths between any two vertices, the fault diameter of the strong product graph of [Formula: see text] paths is determined.

Influence of high‐iron bauxite on phase composition, microstructure, and properties of bauxite‐based homogenized grogs

AbstractInvestigation on the occurrence state of Fe2O3 in bauxite and its effect on the bauxite‐based homogenized grogs (BHG) is crucial for the utilization of high‐iron bauxite resources. BHG with different Fe2O3 contents incorporated in the form of high‐iron bauxite was prepared by maintaining the Al2O3 content around 82%. The effect of high‐iron bauxite addition (0, 25, 50 75, 100 wt.%) on the phase composition and microstructure evolution was studied using X‐ray diffractometer, scanning electron microscope, and Factsage software. The results show that part of the Fe2O3 in BHG is dissolved into crystalline phases, while the other part is present as a glass phase. The addition of high‐iron bauxite, coupled with a reduction in the SiO2 content, results in a rise in the corundum content within BHG from 55.0% to 93.6% and a decrease in the mullite content from 44.0% to 2.8%. This change results in a decline in the refractoriness under load of T0.6, dropping from 1593.5°C in the sample without high‐iron bauxite to 1430.7°C in the sample with 100% high‐iron bauxite addition. The microstructure of BHG evolves from the interconnected network of corundum and mullite phases to the structure of corundum bonded by the glass phase.

Investigation of Topological properties of Butterfly Networks by Irregularity Invariants

In the modern era, networks play a crucial role in connecting individuals, organizations, and devices, enabling efficient communication, collaboration, and information exchange across the globe. They serve as the backbone of the digital age, supporting the growth of technologies such as the internet, cloud computing, IoT, and social media. The examination of Quantitative Structure Activity/Property Relationships (QSPR) to analyse the network architecture uses topological indices as its main instrument. The butterfly network is a type of interconnection network that follows a specific geometric structure. It consists of multiple stages, with each stage connecting nodes in a binary pattern. The connections between nodes form a butterfly-like shape, hence the name. The butterfly network provides efficient routing and communication paths between nodes, making it suitable for parallel computing and distributed systems. With the aid of sixteen irregularity indices, we will examine and compare three butterfly networks in this article. We will then plot the findings to see how they depend on the various parameters.

Fabrication and evaluation of Zn-EGCG-loaded chitosan scaffolds for bone regeneration: From cellular responses to in vivo performance.

We have synthesized a flavonoid metal complex (FMC) by chelating zinc to epigallocatechin-3-gallate (EGCG), a flavonoid present in green tea and incorporated into chitosan (CS) to form 3D constructs by freeze drying method. Scanning electron microscopy characterized The scaffolds for surface morphology and pore dimensions and depicted the presence of interconnected porous network. The scaffolds exhibited optimal pore size (>50μm), facilitating bone tissue ingrowth and neovascularization. Inclusion of Zn-EGCG into CS matrix improved the mechanical property by increasing compressive strength (0.53±0.045MPa) and reducing enzymatic degradation with controlled swelling. In addition, increased protein adsorption was observed during the initial hour, which is crucial for cell attachment. Furthermore, the FMC inclusion promoted exogenous biomineralization of CS scaffolds as early as 4d in simulated body fluid. Indirect cytotoxicity measurements indicated the scaffolds with Zn-EGCG had no toxic effects on mouse mesenchymal stem cells (mMSCs). Under osteogenic environment, the scaffold promoted calcium deposition of mMSCs by upregulation of ALP activity and increased expression of osteoblast differentiation markers such as Runx2, ColI, OC and OPN. We found that the involvement of miR-15b/smurf-1 signalling pathway behind the osteogenic potential of the scaffold. In vivo assessments using the chick embryo CAM assay showed enhanced angiogenesis and confirmed the scaffold's biocompatibility with no toxicity. Additionally, in a zebrafish scale regeneration model, the scaffold enhanced calcium deposition and osteoblast marker expression, aligning with the in vitro findings. Overall, form the study it is clear that the osteogenic potential of the scaffold is as follows chitosan<EGCG-Chitosan<Zn-EGCG-Chitosan.

Interconnected expanded graphite/stearic acid networks for self‐lubricating PA6 composites with excellent heat dissipation performance

AbstractThe improvement in social production efficiency demands increasingly faster mechanical operation speeds. However, under high‐speed friction conditions, the frictional heat generated by nylon 6 (PA6) components is difficult to dissipate efficiently, leading to severe wear and subsequently threatening the safe operation of the equipment. In this work, interconnected expanded graphite/stearic acid (EG/SA) networks in PA6 composites were constructed to achieve fast frictional heat dissipation and self‐lubricating properties by a simple hot‐pressing method. The synergistic lubrication of EG and SA results in PA6 composites with a low coefficient of friction (COF) of 0.12, a 74.5% reduction compared to pure PA6. The low COF reduces the generation of frictional heat, while the conduction and absorption of frictional heat by the EG/SA network accelerates the dissipation of frictional heat, ultimately lowering the contact temperature from 106.9°C to 40.6°C. The specific wear rate of the PA6 composite is as low as 1.7 × 10−5 mm3 N−1 m−1, which is 90.1% lower than that of pure PA6. This study provides a new solution for the rapid dissipation of frictional heat in polymer composites under harsh operating conditions and broadens the application range of wear‐resistant polymer composites.Highlights Expanded graphite (EG) prevents stearic acid from leaking through adsorption. The interconnected EG network transfers frictional heat to stearic acid. The phase transition of stearic acid can absorb heat and promote lubrication. The low COF and high heat dissipation make PA6 composites highly wear‐resistant.

Thermally Stable Ag2Se Nanowire Network as an Effective In‐Materio Physical Reservoir Computing Device

AbstractThe artificial intelligence (AI) paradigm shifts from software to implementing general‐purpose or application‐specific hardware systems with lower power requirements. This study explored a material physical reservoir consisting of a material random network, called in‐materio physical reservoir computing (RC) to achieve efficient hardware systems. The device, made up of a random, highly interconnected network of nonlinear Ag2Se nanojunctions as reservoir nodes, demonstrated the requisite characteristics of an in‐materio physical reservoir, including but not limited to nonlinear switching, memory, and higher harmonic generation. The power consumption of the in‐materio physical reservoir is 0.07 nW per nanojunctions, confirming its highly efficient information processing system. As a hardware reservoir, the devices successfully performed waveform generation tasks. Finally, a voice classification by an in‐materio physical reservoir is achieved over 80%, comparable to an RC software simulation. In‐materio physical RC with rich nonlinear dynamics has huge potential for next‐generation hardware‐based AI.

A variationally-consistent hybrid equilibrium element formulation for linear poroelasticity

A poroelastic medium is defined as a continuous system in which the mechanical response arises from the interaction between a deformable elastic solid skeleton and a pressurised fluid, fully saturating the interconnected porous network. The coupled theory of Poromechanics is effectively employed to solve a broad class of problems spanning various fields, ranging from its original application in Geomechanics to addressing contemporary challenges in tissue Biomechanics. Besides the seminal theory introduced by Biot, several variational multi-field principles have been proposed, leading to various finite element formulations. Finite Element approaches are mostly based on a two-field discretisation involving the coupled solid displacement and interstitial fluid pressure as primary variables. However, this choice of the two-primary variables leads to a saddle-point problem, posing a challenge in achieving accurate solutions and thus making the use of stabilisation methods rather mandatory. This study proposes a novel variationally consistent Hybrid Equilibrium Element formulation, based on the complementary strain energy function. A two-field minimisation principle is formulated, with total Cauchy stress and interstitial fluid pressure serving as primary variables. The proposed variational principle provides a variationally consistent framework for designing inherently self-equilibrated Hybrid Equilibrium Elements, where the solid displacement field emerges as a Lagrangian variable to enforce a co-diffusivity constraint at element sides. The fulfilment of the inf-sup condition, typically challenging in developing stable and computationally efficient finite element formulations, is no longer required, a minimisation principle having been adopted, rather than the classical saddle-point principle. The proposed Hybrid Equilibrium Element approach offers a statically admissible solution even in the proximity of singularities or high space gradient stress distribution, providing a more comprehensive assessment of stress distributions and concentrations. The convexity of the new variational principle has been established, ensuring solution uniqueness. The formulation is based on a 2-D triangular Hybrid Equilibrium Element employed to solve plane strain problems. The element has been implemented in the Open source Finite Element Analysis Program (FEAP) and its performance evaluated against classical benchmark problems for poroelasticity, with the emphasis on stress accuracy. The numerical results obtained for the quasi-static analysis of poroelastic systems show the advantages of the proposed approach, in which accurate stress distributions are displayed, even adopting quite coarse meshes. Remarkably, in the proposed approach no stabilisation technique is required.

Reliability Assessment of Multiprocessor System Based on Exchanged Crossed Cube Networks

ABSTRACTWith the increasingly widespread application of multiprocessor systems, some processors in multiprocessor systems are inevitably prone to malfunctions. The reliability and effectiveness of the system are key issues. As a standard for measuring system fault tolerance, connectivity, and edge connectivity have many drawbacks. Therefore, Haray proposed conditional connectivity by restricting the connected components in disconnected subgraphs to satisfy certain properties, where and represent the interconnection network and its set of faulty vertices, respectively. Restricted connectivity is a special type of conditional connectivity. Exchanged crossed cube, as a deformation of hypercube, has more favorable properties, such as smaller diameter, smaller link size, and lower cost. We prove that the 2‐restricted connectivity of the exchanged crossed cubes is for .

The Use of Metallic Elements in Bone Repair Scaffolds

Abstract. Bone repair has been a challenging issue for a long time. Some recent studies focused on the incorporation of metallic elements into scafffolds for improving the performance for bone regeneration. This review explores the use of metallic elements in bone repair scaffolds, focusing on strontium (Sr), silicon (Si), magnesium (Mg) and Titanium (Ti). These elements enhance scaffold properties, promoting bone regeneration. Sr5(PO4)2SiO4 (SPS) bioceramic scaffolds, fabricated through 3D plotting and sol-gel methods, exhibit superior mechanical strength and induce osteogenesis and angiogenesis in vitro. Sr and Si ions within the SPS scaffolds upregulate genes related to cell proliferation, osteogenesis, and angiogenesis. Porous magnesium (Mg) scaffolds, with their biodegradability and ability to stimulate bone formation, offer an alternative to traditional metal implants. Mg scaffolds demonstrate good biocompatibility, physical properties, and osteoinductive potential. Porous titanium (Ti) scaffolds, manufactured through powder metallurgy, address the issue of stress shielding associated with conventional Ti implants. The interconnected pore network and controlled porosity of these scaffolds mimic natural bone, leading to improved biocompatibility and cell interaction.

Overlooked roles of improved substrates functions in remodeling microbial community and driving metabolic traits during sludge fermentation triggered by surfactants and antibiotics co-existence

Sludge anaerobic fermentation is a pivotal route to transit wastewater treatment plants towards energy-neutral and resource recovery-oriented plants, while the overall efficiency is commonly restrained by co-exist contaminants. This study unveiled the cooperative effect of sulfadiazine (SDZ) and linear alkylbenzene sulfonates (LAS) in driving volatile fatty acids (VFAs) biosynthesis during waste activated sludge (WAS) anaerobic fermentation. The VFAs remarkably elevated to 1189 mg COD/L in LAS/SDZ, which was approximately 1.3–3.2 folds of SDZ and LAS. SDZ and LAS synergistically disintegrated extracellular polymeric substances to provide fermentation substrates. These changes altered microbial population and enhanced microbial networks interconnection. Moreover, the proteins released from WAS might facilitate electron transfer among microorganisms. The functional anaerobic species, including hydrolytic-acidogenic bacteria (e.g., Veillonellaceae and Lactobacillus) and electroactive bacteria (e.g., Parabacteroides and Fonticella), were enriched. Also, the metabolic traits responsible for transmembrane transport, intracellular metabolism, VFAs biosynthesis and electron transfer-related process were strengthened with the upregulation of functional genes. Further analysis revealed that the functional anaerobic species activated quorum sensing and two-component systems to counteract unfavorable LAS/SDZ stress and maintain high metabolic activities. This work elucidated the overlooked roles of substrates in modulating anaerobic consortia and metabolic traits in sludge fermentation systems with mixed pollutants stressing.

Developing efficient anodic electrocatalyst: Three-dimensional interconnected network of bimetallic Pd–Ni aerogel for advanced electrocatalysis of ethanol

This paper introduces a valuable and easy strategy for connecting metallic nanoparticles to assemble a three-dimensional (3D) network of bimetallic palladium-nickel aerogel. This research provides several unique advantages (e.g., facile, surfactant-free, one-pot, and fast) without any chemical destabilizer compounds. The 3D metallic superstructure is formed during the reduction of Ni2+ and Pd2+ ions by adding NaBH4, followed by CO2 supercritical drying. Additionally, the gelation kinetics are explored by raising the temperature to create an efficient anisotropic atmosphere to assemble the 3D Pd-Ni hydrogels. This study demonstrated that the alteration in anisotropic conditions affects the formation of a 3D hydrogel. The production of a 3D network assembled by the extended nanowires with high porosity and plenty of open pores is confirmed by various analyses. The Pd-Ni aerogel is employed as a self-supported electrocatalyst for decomposing EtOH fuel and reflects the more prominent electrocatalytic activity relative to Pd/C. The existence of nickel will facilitate the adsorption of hydroxyl groups on the surface of the resulting aerogel. These adsorbed hydroxyls react with the generated intermediates and release the blocked active sites by carbonaceous intermediates, thereby affecting efficiently the ethanol oxidation.

Microenvironment-optimized gastrodin-functionalized scaffolds orchestrate asymmetric division of recruited stem cells in endogenous bone regeneration

The regeneration of osteoporotic bone defects remains challenging as the critical stem cell function is impaired by inflammatory microenvironment. Synthetic materials that intrinsically direct osteo-differentiation versus self-renewal of recruited stem cell represent a promising alternative strategy for endogenous bone formation. Therefore, a microenvironmentally optimized polyurethane (PU) /n-HA scaffold to enable sustained delivery of gastrodin is engineered to study its effect on the osteogenic fate of stem cells. It exhibited interconnected porous networks and an elevated sequential gastrodin release pattern to match immune-osteo cascade concurrent with progressive degradation of materials. In a critical-sized femur defect model of osteoporotic rat, 5% gastrodin-PU/n-HA potently promoted neo-bone regeneration by facilitating M2 macrophage polarization and CD146+ host stem cell recruitment to defective site. The implantation time-dependently increased the bone marrow mesenchymal stem cell (BMSC) population, and further culture of BMSCs showed a robust ability of proliferation, migration, and mitochondrial resurgence. Of note, some of cell pairs produced one stemness daughter cell while the other committed to osteogenic lineage in an asymmetric cell division (ACD) manner, and a much more compelling ACD response was triggered when 5% gastrodin-PU/n-HA implanted. Further investigation revealed that one-sided concentrated presentation of aPKC and β-catenin in dividing cells effectively induced asymmetric distribution, which polarized aPKC biased the response of the daughter cells to Wnt signal. The asymmetric cell division in skeletal stem cells (SSCs) was mechanically comparable to BMSCs and also governed by distinct aPKC and β-catenin biases. Concomitantly, delayed bone loss adjacent to the implant partly alleviated development of osteoporosis. In conclusion, our findings provide insight into the regulation of macrophage polarization combined with osteogenic commitment of recruited stem cells in an ACD manner, advancing scaffold design strategy for endogenous bone regeneration.Graphical abstract

The P2P-based optimization framework for interconnected natural gas and electricity networks considering the electrical distance and both grids' constraints

The P2P-based optimization framework for interconnected natural gas and electricity networks considering the electrical distance and both grids' constraints

Integrated Transcriptome Analysis Reveals Novel Molecular Signatures for Schizophrenia Characterization.

Schizophrenia (SCZ) is a complex psychiatric disorder presenting challenges for characterization. The current study aimed to identify and evaluate disease-responsive essential genes (DREGs) to enhance the molecular characterization of SCZ. RNA-sequencing data from PsychENCODE (536 SCZ patients, 832 controls) and peripheral blood transcriptome data from 144 recruited subjects (59 SCZ patients, 6 non-SCZ psychiatric patients, 79 controls) are analyzed. Shared differential expression genes are obtained using three algorithms. Support vector machine (SVM)-based recursive feature elimination is employed to identify DREGs. The biological relevance of these DREGs is examined through protein-protein interaction network, pathway enrichment, polygenic scoring, and brain tissue expression. Key DREGs are validated in SCZ animal models. A DREGs-based machine-learning model for SCZ characterization is developed and its performance is assessed using multiple datasets. The analysis identified 184 DREGs forming an interconnected network involved in synaptic plasticity, inflammation, neuronal development, and neurotransmission. DREGs exhibited distinct expression in SCZ-related brain regions and animal models. Their genetic contributions are comparable to genome-wide polygenic risk scores. The DREG-based SVM model demonstrated high performance (AUC 85% for SCZ characterization, 79% for specificity). These findings provide new insights into the molecular mechanisms underlying SCZ and emphasize the potential of DREGs in improving SCZ characterization.

Microwave-Assisted synthesis of interconnected holey nanosheets of zinc vanadate for High-Performance supercapacitor

Developing electrode materials with high energy density and cyclic stability is crucial for advanced supercapacitor (SC) devices in the field of green energy technologies. However, the choice of electrode material and its synthesis approaches significantly impact the electrochemical performance of these devices. In this study, the effect of microwave power on the synthesis process, physicochemical properties and electrochemical performance of zinc vanadate (ZVO) is investigated. The interconnected “holey” ZVO nanosheets are synthesized using a microwave-assisted chemical synthesis process with different microwave powers with shorter reaction time (3 min). X-ray diffraction confirmed that the synthesized ZVO has an orthorhombic crystal structure. At lower microwave power (450 W), interconnected holey nanosheets are observed. When the power is increased above 450 W, the nanosheets disintegrated into an interconnected network of nanopebbles. The ZVO nanosheet electrode showed a specific capacity of 145.16 mAh/g and a specific capacitance of 871.01 F/g at 5 A/g, with a capacity retention of 96% after 5000 cycles. Furthermore, an aqueous asymmetric hybrid supercapacitor (AHSC) device with ZVO-1//AC configuration achieved a specific energy density of 32.77 W/kg at a power density of 400 W/kg with a capacity retention of 82.8% after 2000 cycles. These findings strongly indicate that the developed ZVO holey nanosheets can be used as a potential electrode material for high-performance SC devices.

Research on the Influencing Factors of High-Quality Development of Service Industry Under Digital Network Computing

Faced with the growing demand for personalized services and the challenge of high service quality standards in the market, the traditional service industry model is no longer able to meet current needs, and transformation and upgrading are urgently needed. Therefore, it is particularly crucial to deeply analyze how digital network computing can effectively empower and accelerate the high-quality development process of the service industry, while identifying and analyzing the core influencing factors in this process. Digital network computing relies on vast digital knowledge and information resources, with highly interconnected network infrastructure as the cornerstone, integrating advanced information and communication technologies to achieve real-time transmission, processing, and analysis of data, thereby driving the continuous emergence of intelligent decision-making and innovative applications. Its distinctive characteristics include high network interconnectivity, deep data mining and utilization, intelligent decision support, and continuous technological innovation drive. The purpose of this study is to deepen the understanding of the internal mechanism of the integration and development of digital network computing and the service industry, and to reveal the multiple paths and key factors that promote high-quality development of the service industry. Through system analysis, we hope to provide scientific decision-making basis for policy makers, valuable strategic suggestions for service enterprises on the road of digital transformation, and jointly promote the service industry to move toward a more prosperous, efficient, and sustainable new stage of development.