Integration Path Research Articles

Integration and Innovation Path Analysis of Enterprise Marketing Data Management Based on Deep Learning

INTRODUCTION: To explore the integration and innovation path of enterprise marketing data management based on deep learning to adapt to today's competitive business environment. With the continuous development of information technology, enterprises are faced with a large amount of marketing data, and how to efficiently manage and integrate these data has become an essential issue for enterprises to improve their market competitiveness. Deep learning, as a necessary technical means of artificial intelligence, provides enterprises with more intelligent and precise data processing tools.OBJECTIVES: The primary purpose of the study is to solve the problems of marketing data management in traditional enterprises and to achieve better integration and management of data through deep learning technology. Specifically, the goal is to explore the potential of deep learning in improving data processing efficiency and accurately analyzing user behavior and trends. By achieving these goals, organizations can better understand market needs, develop more effective marketing strategies, and stand out in a competitive marketplace.METHODS: This study adopts a comprehensive approach, including a literature review, case study, and empirical analysis of deep learning algorithms. First, the main issues of current enterprise marketing data management and the latest progress in deep learning were understood through an in-depth study of the literature in related fields. Second, several enterprise cases were selected to gain a deeper understanding of the challenges and needs of enterprises in marketing data management through field research and data collection. Finally, a series of deep learning algorithms were designed and implemented to validate their effectiveness in real-world applications and analyze their impact on data integration and innovation paths.RESULTS: The results of the study show that deep learning has significant advantages in enterprise marketing data management. By using deep learning algorithms, enterprises are able to handle large-scale marketing data more efficiently and achieve intelligent data integration and accurate analysis. This not only improves the efficiency of data processing but also provides enterprises with deeper market insights that help develop more targeted marketing strategies.CONCLUSION: The results of the study are of guiding significance for enterprises to realize data-driven marketing decision-making, which provides strong support for enterprises to maintain their competitive advantages in the highly competitive market. Future research can further explore the application of deep learning in different industries and scenarios, as well as how to optimize deep learning algorithms further to meet the changing needs of enterprises.

High-Performance, Low-Cost, Additively Manufactured Electrospray Ion Sources for Mass Spectrometry.

We report novel 3D-printed electrospray sources for mass spectrometry (MS) that produce twice the signal strength of their mainstream counterparts. Leveraging 3D printing to fabricate in bulk nano- and microscale-featured electrospray emitters, this work shows a path for scalable integration in clinically relevant diagnostics. This solution improves the device performance by simultaneously tuning the surface hydrophilicity, solvent evaporation, and geometry. The emitters are made of stainless-steel (SS) 316L via binder jetting and coated in a conformal, hydrothermally grown zinc oxide nanowire (ZnONW) forest. The printed emitters are designed as surface mount devices that can be directly soldered to printed circuit boards with built-in digital microfluidics as part of an automated device assembly. The electrospray sources use a novel extractor electrode design that enables operation at ∼24% larger bias voltages compared with conventional MS cylindrical inlets. The 3D-printed electrospray emitters were characterized against their state-of-the-art counterparts (coated blades and paper spray). MS data from the 3D-printed electrospray emitters show detection of therapeutically relevant targets at 1 μg/ml concentrations with a variety of solvents; for nicardipine, such emitters attain 116% higher signal-to-noise ratios and far greater stability than their counterparts.

Research on the Path of Integrating Chinese Dance Movement Elements into Sports Dance

This paper studies how the movement elements of Chinese dance are integrated into sports dance, and discusses the path of integration. By analyzing the characteristics of traditional Chinese dance and the requirements of sports dance, it is found that there is a certain fit between the two. In the context of cultural inheritance and innovation, this article proposes some feasible paths, including cultivating the cross-domain ability of dance coaches and athletes, strengthening the cross-integration of dance and physical education, and promoting innovative dance creation. These paths are expected to promote the better integration of Chinese dance movement elements in sports dance, and provide new ideas and methods for the development of Chinese sports dance.

Research on the Effective Integration of Human Resource Management and Talent Training

This study explores the effective integration path of human resource management and talent training in order to enhance the core competitiveness of enterprises. The study reveals the critical importance of the formulation of human resource plans, the design of scientific training courses, and the application of scientific and technological means in the integration of human resource management and personnel training. The research results show that through these three links, enterprises can effectively realize the optimal allocation of human resources, improve the training effect, and improve the efficiency of integration. Future research needs to explore more deeply how to better integrate human resource management and talent cultivation in a dynamically changing environment, and how to use new technological means and theoretical models to improve the integration effect.

Exploration on Ideological and Political Teaching Path of Mental Health Education Course for Students in Private Colleges

This paper aims to explore the path of integrating ideological and political education into mental health education courses for students in private colleges, aiming to improve students' mental health and moral qualities. Firstly, by elaborating on the concept and importance of mental health education, the significance of mental health for the comprehensive development of individuals is revealed. Subsequently, through investigating and analyzing the mental health status of students in private colleges, some common mental health issues are identified, providing a basis for designing targeted educational courses. Secondly, addressing the characteristics and needs of students in private colleges, a comprehensive mental health education curriculum is designed, specifying the objectives, framework, content, and teaching methods to promote the comprehensive enhancement of students' mental health. In the exploration of the integration path of ideological and political education with mental health education, the inherent connection between ideological and political education and mental health education is discussed, and specific paths and strategies for integrating ideological and political education with mental health education are proposed. Finally, through the verification of practical cases, the effectiveness of curriculum design and implementation integrating ideological and political education is demonstrated, and prospects for future research directions are outlined, aiming to provide new ideas and effective measures for mental health education for students in private colleges.

Field-free deterministic switching of all-van der Waals spin-orbit torque system above room temperature.

Two-dimensional van der Waals (vdW) magnetic materials hold promise for the development of high-density, energy-efficient spintronic devices for memory and computation. Recent breakthroughs in material discoveries and spin-orbit torque control of vdW ferromagnets have opened a path for integration of vdW magnets in commercial spintronic devices. However, a solution for field-free electric control of perpendicular magnetic anisotropy (PMA) vdW magnets at room temperatures, essential for building compact and thermally stable spintronic devices, is still missing. Here, we report a solution for the field-free, deterministic, and nonvolatile switching of a PMA vdW ferromagnet, Fe3GaTe2, above room temperature (up to 320 K). We use the unconventional out-of-plane anti-damping torque from an adjacent WTe2 layer to enable such switching with a low current density of 2.23 × 106 A cm-2. This study exemplifies the efficacy of low-symmetry vdW materials for spin-orbit torque control of vdW ferromagnets and provides an all-vdW solution for the next generation of scalable and energy-efficient spintronic devices.

Control and Entanglement of Individual Rydberg Atoms near a Nanoscale Device.

Coherent control of Rydberg atoms near dielectric surfaces is a major challenge due to the large sensitivity of Rydberg states to electric fields. We demonstrate coherent single-atom operations and two-qubit entanglement as close as 100 μm from a nanophotonic device. Using the individual atom control enabled by optical tweezers to study the spatial and temporal properties of the electric field from the surface, we employ dynamical decoupling techniques to characterize and cancel the electric-field noise with submicrosecond temporal resolution. We further use entanglement-assisted sensing to accurately map magnitude and direction of electric-field gradients on a micrometer scale. Our observations open a path for integration of Rydberg arrays with micro- and nanoscale devices for applications in quantum networking and quantum information science.

Exploring Ways and Mechanisms for Farmers' Cooperatives to Participate in Rural Public Services

From the perspective of the path and mechanisms of rural integration, this article explores the logic behind the integration of cooperatives into rural governance, using the Hongyuan Farmers' Cooperative in Binchuan County, Dali City, Yunnan Province, as a case study.By leading villagers in development initiatives and embedding itself culturally and socially, the cooperative uses its organisational advantages to promote the healthy economic growth of villages and foster harmonious livelihoods among villagers. Through specific benefit-sharing mechanisms, the cooperative provides governance resources to the village collective, thereby strengthening the community's governance capacity. As the development of the farmers' cooperative progresses, the joint development of rural economic and public governance goals leads to the gradual formation of a new rural governance community.Practical experience shows that integrating the institutional strengths of farmers' cooperatives into rural governance, coupled with internal and external policy management, reshapes the governance structure of different rural governance units. This becomes a new direction for promoting the modernisation of rural governance systems and governance capacities. In essence, this article highlights how the cooperative, by integrating itself culturally and economically into the village, not only promotes economic growth but also empowers villagers to live harmoniously. Moreover, the incorporation of the cooperative's institutional strengths into rural governance redefines the structure of rural management units, suggesting a promising way to modernise rural governance systems.

TRigon: an R package and Shiny App for integrative (path-)omics data analysis

BackgroundPathomics facilitates automated, reproducible and precise histopathology analysis and morphological phenotyping. Similar to molecular omics, pathomics datasets are high-dimensional, but also face large outlier variability and inherent data missingness, making quick and comprehensible data analysis challenging. To facilitate pathomics data analysis and interpretation as well as support a broad implementation we developed tRigon (Toolbox foR InteGrative (path-)Omics data aNalysis), a Shiny application for fast, comprehensive and reproducible pathomics analysis.ResultstRigon is available via the CRAN repository (https://cran.r-project.org/web/packages/tRigon) with its source code available on GitLab (https://git-ce.rwth-aachen.de/labooratory-ai/trigon). The tRigon package can be installed locally and its application can be executed from the R console via the command ‘tRigon::run_tRigon()’. Alternatively, the application is hosted online and can be accessed at https://labooratory.shinyapps.io/tRigon. We show fast computation of small, medium and large datasets in a low- and high-performance hardware setting, indicating broad applicability of tRigon.ConclusionstRigon allows researchers without coding abilities to perform exploratory feature analyses of pathomics and non-pathomics datasets on their own using a variety of hardware.

Peridynamic simulation of fatigue crack growth in porous materials

Pores are a key type of concerns in additive manufacturing technology. They can significantly affect materials’ fatigue resistance and fatigue crack growth in the structures. In this paper, an intermediately-homogenized (IH) peridynamic (PD) fatigue crack model is introduced for simulating the fatigue crack growth in porous materials. The effect of micro-scale heterogeneity on fatigue failure is preserved in the IH-PD model, where stochastically-generated pre-damage matches materials’ porosity. The PD J-integral, a key parameter used to connect the fatigue simulation and the experimental measurements, is calculated under different porosities, and the independence of PD J-integral on its integration path is verified. Then, the PD fatigue crack model combined with the IH-PD material model is applied to study the dependence of the crack path and growth rate on porosity in compact tension alloy samples. The normalized fatigue life between experimental measurements and numerical results is compared. The normalized fatigue life-porosity relationship calculated from the IH-PD fatigue model matches the average trend of the experimental measurements.

Research on the curriculum reform of “Supply Chain Management” under the background of school-enterprise collaborative education

With the rapid development of the logistics industry, the requirements for the training of logistics talents are getting higher and higher. The development of logistics majors in local universities in Xinjiang must also be oriented to Xinjiang’s industries and enterprises, and follow the path of industry-education integration and school-enterprise cooperation. Through the analysis of the current school-enterprise cooperative teaching model, it is found that there are still problems such as the lack of close connection between talent training goals and enterprise production needs, the curriculum is too theoretical, and the construction of the teaching staff needs to be strengthened. In response to the above problems, with the goal of cultivating technical and skilled talents, adhering to the concept of school-enterprise collaborative education, taking the “Supply Chain Management” course as an example, we explore the exploration path of “Supply Chain Management” course reform under the background of school-enterprise collaborative education, in order to Through the method of “introducing enterprises into teaching”, we will improve the quality of Urumqi Vocational University’s supply chain management courses, deepen school-enterprise cooperation, and promote the reform of vocational education teaching.

Study on the development path of cultural tourism integration in Yubai Village in the context of rural revitalization

As a historical node on the coal transportation route along the Old Road of Western Beijing, Yubai Village served as an important business travel station. However, as time passed by, the Old Road of Western Beijing transport line gradually declined, the Mentougou District coal yard shut down, the service function of Yubai Village disappeared, and the local industry development became slow, necessitating revitalization of the village economy. At present, rural revitalization has become an important strategy to promote rural modernization, and Yubai village has ushered in new opportunities for development. The village can rely on its regional advantages, adjust its own development direction, and become a distribution center on the tourism route. Based on the previous field investigation and literature review of Yubai Village, this paper integrates the current resources of the village, analyzes its realistic development predicament, and, from the perspective of culture and tourism integration, proposes new strategies suitable for the development of Yubai Village, such as improving the overall reception services, improving the village landscape node, improving the village road system, carrying out research and education activities, and developing derivative cultural and creative brands. The purposes are to extend the stay time of tourists and give full play to the function of a service station, realize the revitalization of industry, promote the economic development of the village, and provide a reference for the development of similar villages in the future.

Topic: How Artificial Intelligence and Machine Learning Can Impact Market Design

Background: This research examines how market knowledge and artificial intelligence (AI) interact in different market designs such as business-to-business (B2B) settings while taking emerging technologies and the changing digitalization landscape into account. Objective: The main goal is to understand how AI affects market knowledge in different market designs such as businessto-business (B2B) contexts, taking into account language barriers, practical difficulties, and the revolutionary effects on decision-making and customer interactions. Result: They underscore the transformative potential of artificial intelligence (AI) by highlighting how it shapes market knowledge, encourages customized approaches, and improves marketing efficacy in the business-to-business (B2B) space. Conclusion: In order to create a path for responsible AI integration in B2B marketing, the study concludes with recommendations for standardized terminology related to AI, practical insights into implementation challenges, and ethical issues

Current Situation and Construction Path of Integration of Shandong Red Cultural Resources into University Campus Culture

Shandong red cultural resources are abundant, which are an indispensable and important cultural form in the construction of university campus culture. However, there are still deficiencies in the integration of content, methods, channels, and mechanisms between the two. This article explores paths of integration of Shandong red cultural resources into university construction of campus culture from various perspectives, including establishing and improving Shandong’s Red Cultural Resource database to enrich the Connotation of Campus Culture Construction, enhancing the practicality and participation of Shandong red cultural resources to activate the main body of campus cultural construction, enriching the dissemination carriers of Shandong red cultural resources to expand the channels of campus cultural construction and establishing a comprehensive integration mechanism to stimulate the endogenous driving force of campus cultural construction.

Dual-Loop Integral Sliding Mode Control-Based Path Tracking with Reaction Torque for Autonomous Underwater Vehicle

Path tracking control is an important method for a Six-Degree-Of-Freedom Autonomous Underwater Vehicle to perform specific underwater tasks. Therefore, this paper investigates a dual-loop integral sliding mode control (DLISMC)-based tracking controller for an AUV with model uncertainties and external disturbances, and introduces a new reaction torque model for static compensation in order to improve the attitude control capability for AUVs when performing path tracking. In addition, the stability of tracking control law based on DLISMC is demonstrated using the Lyapunov function. Finally, numerical simulations are carried out on MATLAB 2016/Simulink and compared with the Proportion–Integral–Differential (PID) control commonly used in industry as well as the dual-loop Proportion–Integral–Differential (DLPID). Simulation results show that the DLISMC has a smaller tracking error, faster convergence speed, and more robustness against external disturbances and reaction torque.

Investigations of Solutions of Singularly Perturbed Differential Equations

Using the basic concept of projective geometry about the intersection of parallel lines, we have developed a new method for choosing integration paths. The integration paths must be decreasing from the starting point to the last point. This condition has remained. To check the correctness, consider a classic example. The advantages of the method are that the method is applicable when the eigenvalues of the matrix are real. The peculiarities of the real eigenvalues ​​of the matrix are that in this case the level lines degenerate at the point of stability change. As a result, the area under consideration is divided into several parts. Carrying out calculations along the selected integration paths, we obtain asymptotic estimates for solutions of singularly perturbed differential equations.

Uniform Approximation of the Solution to a Singularly Perturbed Problem in a Particularly Critical Case

In the work, the zeros of the eigenvalues ​​of the matrix lie in the real axis. In the complex plane, we define the area in which the research is being carried out. In the case of a change in stability, at a point the level lines degenerate, and the region is divided into four parts. From the parts that correspond to the unstable segment, we select integration paths. Methods of integration paths that were previously used here are not suitable. Therefore, we are developing a new method. As a result, we obtain an estimate for the solution of the singularly perturbed problem.

Switchable Power Generation in Triboelectric Nanogenerator Toward Chip-Less Wearable Power Module Applications.

A conceptual shift toward next-generation wearable electronics is driving research into self-powered electronics technologies that can be independently operated without plugging into the grid for external power feeding. Triboelectric nanogenerators (TENGs) are emerging as a key component of self-powered electronics, but a power type mismatch between supply and demand limits their direct implementation into wearable self-powered electronics. Here, a TENG with switchable power mode capability is reported where the charge flow direction is modulated over the course of slow and random mechanical stimuli, with exceptional rectification capabilities as high as ≈133, stable outputs over the cycles, and design flexibility in different platforms. Importantly, the remarkable switchable power generation with fabric counter materials illuminates a new path for the smooth integration of flexible TENGs into wearable self-powered electronics.

The Impact of EU Integration on the Political, Economic and Social Systems of Republic of North Macedonia (As a Candidate Country)

Subjective assessments from various relevant factors to the level of North Macedonia's achievements in the path of European integration are often contradictory and partial for a general conclusion. The analysis of this research lies on this context, which aims to provide answers to the country's achievements towards European integration through analyses and generalizations of the results from the official reports of the European Commission as well as through concrete data about the country's achievements (statistical entities and V-Dem Varieties of democracy) for the development of the political, economic and social system as a whole during the years 2010-2023. The results show that North Macedonia consumes concrete benefits from European funds and associations, but the progress in the country is insignificant.

Maliya Sing Umbara, Naga Terra (In)Cognita Nusantara

This article aims to explore the concept of Maliya Sing Umbara, the behavior of Nusantara Man in living their lives by reflecting on the behavior of holy man (guardians) along with an important symbol, the Dragon, a figure of holiness across space and time, both cognita (real) and incognita (beyond the real), to follow the path of goodness, truth and justice. The Maliya Sing Umbara practice of Indonesian people together with the Dragon can even go beyond the cognita and the incognita, in order to uphold holiness, through two integrative paths, namely the path of cultural conception and the practice of religiosity. The path to cultural conception, as per the Pacul metaphor from Sunan Kalijaga, must be carried out by killing arrogant which is the center of the hijab of holiness. The practical path of religiosity, as an important signal of three verses of the Qur'an in Surah Kahf (18) verses 85, 89 and 92, "faat ba'a sababa" King Zulqarnain took a journey of holiness in the name of Allah in prophetic guidance. Maliya Sing Umbara's two integrative paths for the Nusantara Man are the path of upholding Alif and destroying the idols of knowledge, towards what is called The Living Science as well as The Living of Everything; across space and time, even beyond it, towards Holiness Space and Time.