Integration Strategy Research Articles

Advances in exosome plasmonic sensing: Device integration strategies and AI-aided diagnosis

Exosomes, as next-generation biomarkers, has great potential in tracking cancer progression. They face many detection limitations in cancer diagnosis. Plasmonic biosensors have attracted considerable attention at the forefront of exosome detection, due to their label-free, real-time, and high-sensitivity features. Their advantages in multiplex immunoassays of minimal liquid samples establish the leading position in various diagnostic studies. This review delineates the application principles of plasmonic sensing technologies, highlighting the importance of exosomes-based spectrum and image signals in disease diagnostics. It also introduces advancements in miniaturizing plasmonic biosensing platforms of exosomes, which can facilitate point-of-care testing for future healthcare. Nowadays, inspired by the surge of artificial intelligence (AI) for science and technology, more and more AI algorithms are being adopted to process the exosome spectrum and image data from plasmonic detection. Using representative algorithms of machine learning has become a mainstream trend in plasmonic biosensing research for exosome liquid biopsy. Typically, these algorithms process complex exosome datasets efficiently and establish powerful predictive models for precise diagnosis. This review further discusses critical strategies of AI algorithm selection in exosome-based diagnosis. Particularly, we categorize the AI algorithms into the interpretable and uninterpretable groups for exosome plasmonic detection applications. The interpretable AI enhances the transparency and reliability of diagnosis by elucidating the decision-making process, while the uninterpretable AI provides high diagnostic accuracy with robust data processing by a “black-box” working mode. We believe that AI will continue to promote significant progress of exosome plasmonic detection and mobile healthcare in the near future.

University Students' Attitudes and Perceptions on Learning English with Mobile Apps

This study investigates university students' attitudes and perceptions toward using mobile applications for English language learning. Conducted at Universitas Negeri Yogyakarta with 43 master's students, the research employed a survey to assess various aspects of mobile app usage. Results indicate a generally positive view, with high engagement in listening and multimedia activities, underscoring the effectiveness of mobile apps in these areas. However, there are concerns about content accuracy and the need for improved support for writing skills. Students found mobile apps convenient and enjoyable, suggesting their significant potential to enhance language education. Recommendations include integrating mobile apps more systematically into curricula, focusing on features that support writing skills, and addressing concerns about information reliability. Future research should explore long-term impacts, effective integration strategies, and the role of specific app features in language development

Integration of hyperthermic intraperitoneal chemotherapy with cytoreductive surgery for ovarian cancer in Iraq: Navigating challenges in a resource-limited setting

In Iraq, the application of hyperthermic intraperitoneal chemotherapy combined with cytoreductive surgery is a novel therapeutic strategy for ovarian cancer with peritoneal carcinomatosis. This study at the Arby Private Hospital represents the pioneering use of this modality in a resource-limited setting. It evaluates procedural effectiveness, elucidates the systemic challenges within the healthcare framework, and identifies the imperatives for medical training enhancement. The findings illuminate the clinical viability and outline necessary strategies for broader integration of advanced therapies into the Iraqi health-care paradigm, emphasizing a pressing need for policy and infrastructural reforms to elevate oncologic care.

Beyond cancer treatment: dermo-aesthetic and other wellness recommendations for breast cancer patients.

Breast cancer, a prevalent malignancy among women, has various physical and psychological impacts. This comprehensive review offers an in-depth look at multidisciplinary dermo-aesthetic intervention approaches, emphasizing the balance between oncological therapies and the management of these effects. The information presented spans specialties such as aesthetic medicine, plastic surgery, dermatology, physiotherapy, nutrition, odontology, and gynecology. This review, which serves as a clinical guide, aims to establish a safe protocol for non-medical interventions involving oncologists, physicians, and specialists from various areas in patients with breast cancer focused on improving their quality of life. This work offers personalized and integrative care strategies for the eradication of cancer. However, it is still necessary for patients to consult with their oncologist before undergoing any dermo aesthetic treatment. However, it is still necessary for patients to consult with their oncologist before undergoing any dermo aesthetic treatment.

Using the proportional dual integral strategy to improve the characteristics of the indirect field-oriented control of DFIG-based wind turbine systems

In this work, a new indirect field-oriented command (IFOC) for wind systems based on a doubly-fed induction generator (DFIG) is designed to get better energy and stream quality. Also, overcoming the problems of IFOC. It is proposed to use proportional dual integral (PDI) controllers in order to replace traditional controllers and augment the robustness of the studied wind turbine system. The proposed IFOC-PDI is a modification of the IFOC, where the basic idea behind the designed technique is to combine a proportional-integral (PI) regulator with an integral term. This technique has been applied to the machine inverter, where the IFOC-PDI aims to calculate reference voltage values. The pulse width modulation (PWM) is used to translate voltage reference values ​​into pulses to run the machine inverter. The main objective of this article is to compare the competence of the IFOC-PDI to that of the IFOC-PI in different tests, including two different wind speed profiles and DFIG parameters variation. The major benefit of this command is a decrease in harmonic distortion of the currents, and active and reactive power (Ps and Qs) fluctuations. The results using MATLAB demonstrated that the IFOC-PDI improved the IFOC-PI in the minimization of stream harmonic distortion (6.63%, 10.42%, and 17.86%) and notable minimization of fluctuations in both Ps (32.08%, 46.24%, and 12.10%) and Qs (45.95%, 66.88%, and 14.49%). Also, the overshoot value of Ps was minimized compared to the IFOC-PI in all tests by ratios estimated at 57.79%, 12.41%, and 33.96%. The steady-state error of Ps was minimized compared to the IFOC-PI in all tests by ratios estimated at 29.43%, 85.88%, and 76.36%. The IFOC-PDI is also very resistant in the case of DFIG parameters variation.

Deocclusion and integration of advantages for a better hand pose

Estimating hand pose in the case of hand and object interaction faces the challenge of occlusion. Traditional methods that use contact information to alleviate this problem have limited applications because accurately estimating the required shape and pose of unfamiliar objects is a difficult task. This paper address this problem with occlusion removal at image level, removing the object by the proposed self-supervision method, which reduces the labor required to collect the paired labels of occlusion and deocclusion of the hand. In addition, this paper consider occlusion as valuable information and propose an integration strategy to enrich the extracted features from the occluded hand image and deoccluded hand image. Validation experiments are performed to show the proposed model’s main contributions. The experimental results on two widely-used public datasets demonstrate that the proposed model outperforms other state-of-the-art methods.

Implementasi Program Pengembangan Anak Usia Dini Holistik Integratif Di Tk Al Wildan Cibodas Garut

Teacher Strategy in Improving Integrative Holistic Education in Early Age Children 4-5 Years at Al Wildan Kindergarten Cibodas Garut, Thesis, Jakarta: Panca Sakti University Bekasi Educational Sciences 2024.This research aims to identify teacher strategies in improving integrative holistic education for early childhood 4-5 years at Al Wildan Cibodas Kindergarten. Specifically, you must know the concept of integrative holistic education, know integrative holistic learning strategies, and know the stages of integrative holistic learning. The research method used is a qualitative descriptive method. According to Sugiono (2018:213), qualitative research methods are research methods that are based on philosophy and are used to study scientific (experimental) conditions where the researcher as the instrument and technique collects and analyzes qualitative data with greater emphasis on meaning. According to Moleong (2017:6), qualitative research refers to a comprehensive understanding of phenomena such as behavior, cognition, motivation and behavior experienced by research subjects through words and verbal explanations. Language depends on a particular context. The research results showed that the results of interviews with teachers and students at Al Wildan Kindergarten showed that 40% understood integrative holistic education and 60% did not understand integrative holistic education. After further research, the cause of the lack of understanding about integrative holistic education is due to a lack of socialization about integrative holistic education, and teacher capacity in integrative holistic education is still limited, causing teachers and parents to not clearly understand the importance of integrated integrative holistic education. and lack of parental involvement in preschool education. The results of this research are very important in improving the growth and development of early childhood. Because by understanding the meaning of holistic, integrative education, every aspect of early childhood development can be achieved optimally

Distributional equity impacts of automated vehicles: A disaggregated approach

Better understanding of the equity impacts of automated vehicles (AV) is needed to design equitable deployment plans for AV technology. The goal of this study was to develop and demonstrate a modeling framework to support distributional equity assessments of AV systems prior to their wide adoption. This modeling framework takes a disaggregated approach that integrates agent-based simulation, diverse transportation outcomes, and equity analyses. The framework uses individual-level data to capture detailed disparities in transportation outcomes, applies a state-of-the-art multi-agent traffic simulation model (MATSim) to simulate privately-owned and shared AVs simultaneously, and considers distributional equity from multiple perspectives. To test and demonstrate the framework, a case study was conducted for the Tampa Bay region. Five scenarios were considered with different AV market shares and integration strategies based on scenario planning by the U.S. Federal Highway Administration. Results reveal that high AV penetration rates were required for substantial reductions in inequality. The introduction of AVs led to a more even distribution of accessibility, but slightly more uneven distribution of traditional mobility and affordability. Impacts of disparities in outcomes for disadvantaged groups were mixed. These results suggest that AVs will likely perpetuate existing inequity in the transportation system as long as its fundamental structure remains the same as today. Results highlight the importance of planning and design strategies that directly address the distributional impacts to ensure that AV technology is deployed equitably.

AI in higher education: a systematic literature review

IntroductionThe increasing reliance on technology within higher education necessitates a thorough examination of artificial intelligence’s (AI) application in academic research. This analysis aims to elucidate both the advantages and challenges associated with AI utilization, thereby paving the way for future inquiries. Such studies will be instrumental in delineating strategies for the effective integration of AI tools in scholarly research, ensuring their optimal use in advancing the field.ObjectiveThe purpose of this research is to identify the benefits and challenges of the use of AI in the field of scientific research by analyzing experiences that have implemented AI in scientific research carried out at the university level through a systematic literature review.MethodThe research questions that guided the systematic literature review were as follows: (1) What are the benefits of using AI in research? (2) What are the challenges of using AI in research? (3) What are the use and benefits of AI in scientific writing including limitations? (4) What are the main lines of research identified in studies that address scientific practice with artificial intelligence in the university context? The articles analyzed were published in 2023. After applying the inclusion and exclusion criteria, 85 articles were analyzed.ResultsThe analysis allowed findings such as the usefulness of ChatGPT in different disciplinary areas, challenges such as being able to identify artificial intelligence resources limitations and benefits such as being able to make processes of different kinds more efficient.DiscussionIt was possible to establish that although the studies analyzed identified advantages in the application of AI in scientific research, it was also detected that it is necessary to have a critical and creative look to make use of AI resources, such as ChatGPT, in order to use them only as support tools and thus be able to take care of the rigor and quality in the elaboration of scientific texts.

An equilibrium analysis of blockchain integration strategies in the livestock meat supply chain considering consumers’ preference for quality trust

PurposeThis paper aims to explore blockchain integration strategies within a three-level livestock meat supply chain in which consumers have a preference for quality trust in livestock meat products. The paper investigates three questions: First, how does consumers’ preference for quality trust affect blockchain integration and transaction decisions among supply chain participants? Second, under what circumstances will retailers choose to participate in the blockchain? Finally, how can other factors such as blockchain costs and supplier–retailer partnership value affect integration decisions?Design/methodology/approachThis paper formulates a supply chain network equilibrium model and employs the logarithmic-quadratic proximal prediction-correction method to obtain equilibrium decisions. Extensive numerical studies are conducted using a pork supply chain network to analyze the implications of blockchain integration for different supply chain participants.FindingsThe results reveal several key insights: First, suppliers’ increased blockchain integration, driven by higher quality trust preference, can negatively affect their profits, particularly, with excessive trust preferences and high blockchain costs. Second, an increase in consumers’ preference for quality trust expands the range of unit operating costs for retailers engaging in blockchain. Finally, the supplier–retailer partnership drives retailer blockchain participation, facilitating enhanced information sharing to benefit the entire supply chain.Originality/valueThis study provides original insights into blockchain integration strategies in an agricultural supply chain through the application of the supply chain network equilibrium model. The investigation of several key factors on equilibrium decisions provides important managerial implications for different supply chain participants to address consumers’ preference for quality trust and enhance overall supply chain performance.

Exploring social and computer science students’ perceptions of AI integration in (foreign) language instruction

Artificial intelligence (AI) has gained acceptance in the field of education. Nevertheless, existing research on AI in education, particularly in foreign language (FL) learning and teaching, is notably limited in scope and depth. In the present study, we addressed this research gap by investigating social and computer science students' perceptions of the integration and use of AI-based technologies in education, focusing specifically on foreign language teaching. Using an online questionnaire, we analysed factors such as students' field of study, gender differences, and the type of AI used. The questionnaire included statements categorised into thematic clusters, with responses measured on a five-point Likert scale. Statistical analysis, including chi-square tests and Cohen's d, revealed that individuals studying computer science, males, and supporters of generative AI are more likely to use AI tools for educational purposes. They perceive fewer barriers to the integration of AI into FL education. Social science students and women are less likely to use AI tools in FL education and express scepticism about their potential to improve academic outcomes. They tend to be more critical or cautious regarding the role of AI in FL education. They view AI as a valuable tool that enhances the learning experience but, at the same time, recognise the irreplaceable role of human teachers. The study highlights the need for targeted educational initiatives to address gender and disciplinary gaps in AI adoption, promote informed discussions on AI in education, and develop balanced AI integration strategies to improve FL learning. These findings suggest educators and policymakers should implement comprehensive AI training programs and ethical guidelines for responsible AI use in (FL) education.

Analysis of the Role of Tourism Awareness Group Communication in Developing Tourism Destinations Based on Local Wisdom in Tipang Village, Baktiraja District, Humbang Hasundutan Regency, North Sumatra Province

This research aims to analyze the communication role of the tourism awareness group in Tipang village by prioritizing local wisdom in developing tourism destinations, analyzing the strategies of tourism awareness groups applied in developing tourism destinations, and finding the obstacles experienced by tourism awareness groups in developing tourism destinations based on local wisdom. This research uses a descriptive qualitative approach with a phenomenological paradigm. Data collection techniques were carried out through observation, in-depth interviews, and documentation studies. The validity of the data was checked by triangulating interviews with the Lake Toba Authority Implementing Agency (BPODT) and academics who had carried out tourism development activities at the research location. This research found that 1) The communication role of the Tipang village tourism awareness group has three types of roles: active role, participatory role, and passive role.2) Strategy of tourism awareness groups in developing tourism destinations based on local wisdomTipang village implements an integration strategy by involving other tourism destination managers, utilizing information dissemination through social media and print media distributed in strategic areas or places

Research on Strategies to Promote the Integration of Industrial Chain, Innovation Chain, and Supply Chain in the Beijing-Tianjin-Hebei Region

With the rapid development of international economic integration, industrial competition has gradually evolved from a competition of enterprise capabilities and resources to a game of comprehensive system collaboration capabilities among all participating parties. That is, the competition in the current international economy has evolved into an interactive and collaborative competition among the “three chains” of industry chain, capital chain, and innovation chain. Based on analyzing the current situation of the integration of the industrial chain, innovation chain, and supply chain, this article deeply analyzes the geographical advantages of the three chains in the Beijing-Tianjin-Hebei region. From the perspective of scientific and technological innovation and talent cooperation synergy, it proposes the integration strategy of the three chains in the Beijing-Tianjin-Hebei region.

Rapid, non-contact identification of organic solvents: Monolithic GaN chips incorporating PDMS/PS photonic crystals

The prompt identification of organic solvents is essential in many practical scenarios. This work introduces a compact optical device for rapid, non-contact detection of organic solvents. The fabrication of the GaN chip employs a monolithic integration approach, enabling the simultaneous formation of on-chip components responsible for light emission and light detection. The self-assembled polystyrene (PS) spheres embedded in a polydimethylsiloxane (PDMS) layer as photonic crystals can effectively induce distinct optical changes when exposed to organic solvents. By analyzing the magnitude and recovery time of the photocurrent signals, up to seven types of organic samples can be distinguished. Different from traditional optical sensing systems, the proposed chip-level integration strategy eliminates the need for external assembly of optical components, resulting in an ultracompact millimeter-sized sensing unit. The developed device also offers features of simplicity of use and a short measurement time of less than 10 s, making it a feasible solution for quick detection in emergency scenarios.

Conceptualising global cultural transformation—developing deep institutional scenarios for whole of society change

Abstract This paper aims to contribute to current efforts to improve methodologies to find more ambitious and integrated strategies to jointly pursue the Paris climate target and other Sustainable Development Goals. It suggests a means of further expanding the underlying societal perspectives in scenarios modelling through a model of deep institutional innovation for sustainability and human development (DIIS), which aims to reframe the narrative from sociotechnical transition to deep global cultural transformation. The paper posits the need for capturing irreversible transformation change through a fundamental reimagining of the key social institutions that together comprise contemporary societies. To illustrate the application of the DIIS framing to pathway scenarios an indicative scenario is offered to indicate the radical global cultural changes required to move to pathways capable of bringing about greater sustainability and human flourishing.

DC overvoltage suppression method of wind farm connected via MMC‐HVDC system

AbstractA new integration strategy of grid‐forming‐controlled wind farms connected to the bulk power systems through high‐voltage direct current transmission based on the modular multi‐level converter (MMC) is proposed to solve the problem of traditional uncontrollable DC overvoltage during the short circuit faults at the receiving end. However, a new DC overvoltage phenomenon appears after the fault is cleared, and the interaction between the wind farm and sending‐ and receiving‐end MMCs makes the DC overvoltage mechanism more complex; further exploration shows that DC overvoltage during the sending‐end fault recovery stage occurs under the new integration strategy. Therefore, the evolution process and mechanism of the new DC overvoltage are analysed. It is found that affected by the interaction between wind farms and MMCs, the alternate saturation of the integrators in the PI controller of MMCs is the main cause. Based on this understanding, additional controls are proposed to suppress this DC overvoltage during the fault recovery stage. Simulations are carried out on a test with MATLAB/Simulink, and the results verify the efficacy of the proposed methods in suppressing DC overvoltage.

Nursing students' perspectives on peer assessment in basic nursing procedures: A qualitative study

BackgroundTraditionally, the assessment of student nursing skills relies heavily on lecturer evaluations. However, lecturers, as the primary evaluators, may be influenced by their individual subjective preferences, experience, and knowledge background. This limitation needs thorough consideration to improve students' assessment skills and ensure that assessment tasks are more objective and accurate. Peer assessment appears to take it into account. Currently, improving the quality of peer assessment in Basic Nursing skills remains a challenge for educators. AimTo assess the effectiveness of peer assessment as applied to the basic nursing skills examination process and suggestions for improvement, to understand nursing students' perceptions of it, and to explore the feasibility of peer assessment as an alternative to single faculty assessment as perceived by nursing students. DesignQualitative research. SettingsConducted in a clinical skills simulation laboratory at a university in Wuxi, Jiangsu Province, China. Participants23 Second-year nursing students applying peer assessment to Basic Nursing course exams. MethodsUsed face-to-face, semi-structured interviews, and thematic analysis to analyze data. ResultsThree major themes and nine subthemes were identified: (1) Positive sentiments towards peer evaluation (e.g., enhancing the learning capacity, increasing emotional intelligence, and improving the objectivity and fairness of nursing skills assessment); (2) Challenges encountered in the peer evaluation process (e.g., inconsistent scoring criteria, exacerbate anxiety, and triggering team conflict); (3) Suggestions for improving peer evaluation (e.g., applying the design of peer assessment exam content, incorporation of lecturer evaluation, and refinement and materialization of marking criteria). ConclusionsIn this study, while the positive impact is evident, the challenges faced by nursing students and future recommendations for peer assessment application are critical. This study provides valuable insights into the potential of peer assessment to enhance nursing education and provides recommendations for optimizing peer assessment strategies for meaningful integration into Nursing Education practice.

Open-cycle thermochemical energy storage for building space heating: Practical system configurations and effective energy density

Salt-hydrate thermochemical materials (TCM) are promising candidates for energy storage systems for building space heating due to their high theoretical energy density and the need for low regeneration temperature. However, water vapor is required to drive the hydration process of the TCM reactor, which poses a challenge during winter when water vapor is typically scarce. Using indoor air directly lowers the building's humidity to an unconformable level in practice, while the cold outdoor air contains limited moisture. Here we consider different integration strategies for open-cycle TCM reactors in buildings and develop a model to simulate their thermal performance across diverse buildings and climates, specifically for building space heating. The potential energy densities and the levelized cost of storage of the TCM reactor are evaluated in practical scenarios to demonstrate the load-shifting potential of TCM systems for heating applications. We use a strontium chloride (SrCl2)-based composite as the baseline and explore the impact of various reactor and material changes to the energy density and levelized cost of storage.

Risk evaluation, spatiotemporal evolution, and driving factors of provincial food safety in China

The cross-regional transfer of food safety risks has become more prominent, bringing new challenges to the food ecosystem and food safety regulation. This study develops an evaluation index system of food safety risks based on the pressure-state-response (PSR) framework. The food safety risk indices of 30 provinces in China from 2011 to 2020 are calculated by determining the index weights using the real-coded accelerated genetic algorithm–projection pursuit model (RAGA-PP). Furthermore, this study elaborates the spatiotemporal differences and correlations of provincial food safety risks, characterizes the spatial aggregation and spatiotemporal changes of risks, and investigates driving factors affecting the spatiotemporal evolution of risks. The following findings are established. First, the overall risk value of food safety in China in 2020 decreased by approximately 5% compared with year 2010. In 2020, the national food safety environment was relatively favorable and tended toward stability. The overall trend of food safety risks in China is decreasing, although socioeconomic development has increased the risks, and the corresponding social management measures have also reduced the risks. Second, food safety risks were unevenly distributed among provinces, showing significant regional differences. Specifically, generally higher risks were observed in eastern provinces versus other regions and in coastal provinces versus inland provinces. Concentrated and superimposed risks were observed in the Yangtze River Delta, a large urban agglomeration centered on Shanghai. Lastly, population density and urbanization level were the main drivers of the evolution of regional food safety risks; whereas policy instruments used by the government to manage risks played a limited role. The results show that establishing a cross-regional collaborative governance mechanism to manage food safety risks should constitute an important component of the regional integration strategy of China.

Cross-functional integration and new product development performance: Assessing mediating role of customer-supplier involvement and moderating role of structural empowerment

Under the open innovation paradigm, few empirical studies have addressed the value co-creation of the cross-functional and external integration, particularly the adverse effects of integration-induced structural empowerment on new product development (NPD). This study constructs a moderated mediation model grounded in value co-creation theory to investigate the interplay among cross-functional integration, customer-supplier involvement, structural empowerment, and NPD performance. Data from a survey of 294 high-performance manufacturing firms (machinery, electronics, and automobiles) worldwide, conducted during the fourth round of the High-Performance Manufacturing project, were analyzed. The empirical results indicate that cross-functional integration indirectly affects NPD performance through the mediating role of customer-supplier involvement. Moreover, the positive association between customer involvement and NPD performance is markedly diminished under conditions of high as opposed to low structural empowerment. However, structural empowerment does not significantly moderate the positive relationship between supplier involvement and NPD performance. This study contributes to the understanding of the value co-creation mechanisms associated with different integration strategies in NPD performance and reveals the potential drawbacks of excessive structural empowerment. Consequently, this study offers actionable insights for firms implementing integration strategies and structural empowerment.