Integration Strategy Research Articles

Preschoolers use probabilistic evidence to flexibly change or maintain expectations on an active search task.

This study investigated 3- to 5-year-olds' (N = 64, 37 girls, 62.5% White, data collected between 2021-2022) ability to use probabilistic information gleaned through active search to appropriately change or maintain expectations. In an online fishing game, children first learned that one of two ponds was good for catching fish. During a subsequent testing phase, children searched the ponds for fish. Half saw outcomes that were probabilistically consistent with training, and the other half saw outcomes that were probabilistically inconsistent. Children in the Inconsistent condition adapted their search strategies, showing evidence of changing their expectations. Those in the Consistent condition maintained their initial search strategy. Trial-by-trial analyses suggested that children used a combination of heuristic and information integration strategies to guide their search behavior.

Record linkage as a vital key player for the COVID-19 syndemic

Abstract Chronicity, comorbidities, and social context influence COVID-19 risk and prognosis, drawing attention to a syndemic dimension. We discuss how linking routinely collected data and data collected through observational population-based cohorts can contribute to advance knowledge on the association between COVID-19 and chronic diseases and social indicators. Record linkage as a multidimensional tool may ultimately enable defining and optimizing of integrated strategies, which may create multilevel public health measures to foster solidarity on health in all policies when ethical and legal barriers under prerequisite data protection and privacy can be overcome. Legal discrepancies have been proving detrimental to research in member states, including those which already had established a margin for research for the common good without explicit consent. We hence call for further harmonization of data protection requirements for scientific research activities in the EU/EEA, focusing in particular on health-related research. A proposed framework demonstrates the role of record linkage as a trailblazing key player in research optimization due to its multidimensional possibilities calling for harmonization. Key messages • Further harmonization of data protection requirements for scientific research may create multilevel public health measures. • As a multidimensional tool, it optimizes integrated strategies and fosters solidarity on Health in All Policies (HiAP).

Development of a risk-stratified shared decision-making tool for colorectal cancer screening

Abstract European guidelines stress the importance of informed decision-making in colorectal cancer (CRC) screening. However, tailored tools that facilitate decision-making for underserved people and general practitioners (GPs) in Flanders are lacking. This study aimed to develop a tailored shared decision-making (SDM) tool for CRC screening, specifically a video decision aid, using a co-creative process. The development involved two rounds of focus group discussions with underserved people and five local quality group meetings with GPs in various parts of Flanders, Belgium. Qualitative data were analyzed using a Modified-Grounded Theory Analytical (M-GTA) approach to identify key themes. Findings revealed four core themes. The first theme, ‘Recognizing the Barriers to Screening’, identifies challenges such as a lack of time, staff, and tools for GPs, as well as language and literacy barriers for underserved people. The second theme, ‘Learning from Existing Tools’, highlights successful elements like visuals and simple language and limitations such as low accessibility and poor navigation. The third theme, ‘Determining the Content and Design,’ reveals that GPs seek user-friendly tools for at-home viewing, while underserved people value personalized and clear information about CRC risk factors and screening costs. The final theme, ‘Identifying Strategies for Integration,’ stresses the importance of a structured, collaborative care approach for the successful integration of the tool. The proposed modifications for the SDM tool include enhancing its accessibility with multiple language options, using simple and relatable visuals, and providing personalized risk discussions for underserved people and GPs. Nonetheless, further testing is needed to confirm the effectiveness of the SDM tool in supporting preventive talks and informed decision-making in CRC screening among these target groups. Key messages • A structured, collaborative care approach is needed for successful SDM tool integration during preventive talks with underserved people. • Further testing is needed to confirm the tool’s effectiveness in supporting informed decision-making in CRC screening for underserved people.

Evaluating the effect of horizontal Integration strategy on performance of commercial State corporations in Kenya

This study aimed to evaluate the impact of horizontal integration on performance of Commercial State Corporations in Kenya. The study was based on positivist research philosophy. A cross-sectional correlational design was adopted as the study design. The target population was 1,026 senior managers of the Commercial State Corporations. The sample size was 99 senior managers in Commercial State Corporations. Primary data were gathered using a structured questionnaire. Collected data was analysed using descriptive data analysis techniques (Mean, Standard Deviation, Maximum and Minimum) and regression analysis. The findings of the study were presented using figures and tables. The study established a significant effect of horizontal integration strategy on financial, customers, internal business process and learning, growth and development performance of Commercial State Corporations in Kenya (? =0.536, p=0.000<0.05; ? =0.548, p=0.000<0.05;? =0.359,p=0.000<0.05;? =0.201,p=0.027<0.05). The study concluded that the horizontal integration strategy significantly improved the financial, customer, internal business process, and learning, growth, and development performance of Commercial State Corporations, supported by statistical evidence. The study recommends that Commercial State Corporations should streamline regulations to facilitate horizontal integration, ensure alignment with strategic objectives, prioritise sectors that enhance efficiency and service delivery, collaborate with competition authorities to comply with antitrust laws, and proactively address market concentration and anti-competitive concerns.

Assessment methods and their impact on learning outcomes in education

This article takes a look at the various ways through which assessment is conducted in education and how these methods have impacted the learning outcomes of students. There are two major approaches that have taken center stage: formative and summative assessment. While formative assessment is a continuous process, informing students of feedback that allows them to monitor, identify, and correct their mistakes during the learning process, summative assessment measures the knowledge attained at the end of a given academic period. Quantitative analysis of results from 300 students, through a mixed-methods approach, together with qualitative interviews with teachers, indicates that students who consistently go through formative assessments have an average gain in scores of 12%, while the average improvement for students who are majorly subjected to summative assessments is 6%. It is for this reason that such findings have stressed the need for integration of formative assessment as an integral strategy that could help improve learning outcomes, rather than having the dependence solely on summative assessments.

Design and Development of Integrated Direct Air Capture and Methanation Processes

AbstractThe synergies from integrating direct air capture and CO2 methanation are assessed and quantified. Three direct air capture and methanation processes with different integration strategies are proposed: only heat integration, direct air capture sorbent regeneration with high‐pressure H2, and complete integration in a single unit. The heat integration study via pinch analysis evaluated the potential energy demand reduction. Overall autothermal operation is achievable, as the heat generated in methanation often exceeds that required for direct air capture sorbent regeneration. A novel process combining CO2 adsorption and methanation in one reactor provided the best productivity and energy demand results. However, this design requires complex cycles and strict demands on the sorbent and catalyst, requiring further development and experimental demonstration.

Cost-effective and optimal control analysis for mitigation strategy to chocolate spot disease of faba bean

Faba bean is one of the most important grown plants worldwide for human and animal. Despite its various importance, the productivity of faba bean has been constrained by several biotic and abiotic factors. Many faba bean pathogens have been reported so far, of which the most important yield limiting disease is Chocolate Spot Disease (Botrytis fabae). The dynamics of disease transmission and decision-making processes for intervention programs for disease control are now better understood through the use of mathematical modeling. In this paper a deterministic mathematical model for Chocolate Spot disease (CSD) on faba bean plant with an optimal control model was developed and analyzed to examine the best strategy in controlling CSD. The optimal control model is developed with three control interventions, namely prevention (u1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$u_{1}$$\\end{document}), quarantine (u2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$u_{2}$$\\end{document}) and chemical control (u3\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$u_{3}$$\\end{document}). The Pontryagin’€™s maximum principle isused to derive the Hamiltonian, the adjoint variables, the characterization of the controls and the optimality system. A cost-effective approach is chosen from a set of possible integrated strategies using the incremental cost-effectiveness ratio (ICER). The forward-backward sweep iterative approach is used to run numerical simulations. We obtained the Hamiltonian, the adjoint variables, the characterization of the controls and the optimality system. The numerical results demonstrate that each integrated strategy can reduce the diseases within the specified period. However due to limited resources, an integrated strategy prevention and uprooting was found to be a best cost-effective strategy to combat CSD. Therefore, attention should be given for the integrated cost-effective and environmentally eco-friendly strategy by stake holders and policy makers to control CSD and disseminate the integrated intervention to the farmers in order to fight the spread of CSD in the Faba bean population and produce the expected yield from the field.

STATE POLICY ON THE PROTECTION OF NATIONAL INTERESTS OF UKRAINE IN THE INTERNET ENVIRONMENT

The article deals with the problem of protecting Ukraine’s national interests in the context of the Russian-Ukrainian war. The Internet is seen as a space for free expression of opinions, but often turns into a battlefield in the information war. The article analyses the processes of informatisation of society and the increase in the number of Internet users. The impact of the Russian-Ukrainian war on the leading Internet providers and their political position is analysed. Today, Ukraine enjoys great support from leading campaigns in this area, but the aggressor country is heavily funding war propaganda. Attention is drawn to the results of statistics on cyberattacks on state institutions and the public by the Russian Federation. It is emphasised that today state institutions, business and society in Ukraine have united to counteract the negative information influence of Russia. The structure of Ukraine’s national interests, priorities and directions of their protection are defined. Attention is focused on the fact that the Russian Federation attracts teenagers to extremist and radical activities on the Internet. This additionally threatens the national interests of Ukraine. Prevention of extremism is based on raising the legal, political and general culture of citizens, and shaping a positive image of the state. Therefore, it is justified to take effective measures to develop a powerful ideological corpus, a national idea and to adhere to the state’s strategy for European integration. It is important to establish systematic training of specialists in the field of protecting national interests in the Internet space, enhancing the preventive role of the media and institutional support for analytical, educational, propaganda and information work. The author proposes to develop a powerful system of countering manipulations on the Internet, which will include technological developments, methodology, ideological component, legal and educational measures. The author substantiates the necessity of Ukraine’s integration into the global and regional European information space; integration into international information and telecommunication systems and organisations; modernisation and certain changes in the information policy; improvement of legislation on harmonisation of national legislation with international standards; introduction of modern information and communication technologies into public administration processes, etc.

Current knowledge and breeding strategies for management of aphid-transmitted viruses of pepper (Capsicum spp.) in Africa

Aphid-transmitted viruses cause significant losses in pepper production worldwide, negatively affecting yield and quality. The emergence of new aphid-transmitted viruses or development of variants as well as the occurrence in mixed infections make management a challenge. Here, we overview the current status of the distribution, incidence and phylogeny of aphids and the viruses they transmit in pepper in Africa; outline the available genetic resources, including sources of resistance, resistance genes and molecular markers; and discuss the recent advances in understanding the genetic basis of resistance to the predominant African viruses infecting pepper. Pepper veinal mottle virus (PVMV; Potyvirus); Potato virus Y (PVY; Potyvirus), Chili veinal mottle virus (ChiVMV; Potyvirus), Cucumber mosaic virus (CMV; Cucumovirus) and Pepper veins yellow virus (PeVYV; Polerovirus) have been reported to be the most widespread and devastating aphid-transmitted viruses infecting pepper across Africa. Co-infection or mixed infection between aphid-transmitted viruses has been detected and the interrelationship between viruses that co-infect chili peppers is poorly understood. Establishing and evaluating existing and new diversity sets with more genetic diversity is an important component of developing host resistance and implementing integrated management strategies. However, more work needs to be done to characterize the aphid-transmitted viral strains across Africa and understand their phylogeny in order to develop more durable host resistance. In addition, a limited number of QTLs associated with resistance to the aphid-transmitted virus have been reported and QTL data are only available for PVY, ChiVMV and CMV mainly against European and Asian strains, although PVMV is likely the most important aphid-transmitted viral disease in Africa. There is a need to identify germplasm resources with resistance against various aphid-transmitted virus strains, and subsequent pyramiding of the resistance using marker-assisted selection could be an effective strategy. The recent advances in understanding the genetic basis of the resistance to the virus and the new breeding techniques that can be leveraged to accelerate breeding for aphid-transmitted virus in pepper are proposed as strategies to more efficiently develop resistant cultivars. The deployment of multi-genetic resistances in pepper is an effective and desirable method of managing viral-diseases in Africa and limit losses for farmers in a sustainable manner.

“Exploring Sustainable Investment Frontiers: A Bibliometric Analysis on current trends and hurdles in incorporating ESG into Investment decision-making”

Integrating environmental, social, and governance (ESG) factors into investment decision-making has emerged as a critical area of interest in both academic and industry circles. This literature review aims to comprehensively explore and synthesize existing research on this topic by providing valuable insights into current trends, challenges, and prospects in sustainable investing. Articles, reports, and case studies published in relevant databases from 2019 to 2023 are reviewed for this research. A comprehensive search strategy encompassing keywords related to ESG integration in investment decisions has been used in the review process. The integration of ESG factors in investment decisions has evolved significantly in recent years. However, the knowledge landscape is scattered, and it is imperative to consolidate this body of research to gain a holistic understanding thus this bibliometric analysis addresses the research agenda on the impact of the integration of ESG factors on investment decision-making and the challenges and opportunities associated with this evolving paradigm. Our review highlighted that ESG integration has been shown to mitigate risk and enhance long-term returns, supporting the argument that sustainability considerations are not only ethical but also financially prudent. As per the analysis, hurdles range from the lack of awareness regarding standardized ESG metrics and reporting to concerns about greenwashing. The complexity of ESG factors and the need for robust data and analytics pose significant hurdles to investors and practitioners. The synthesis of findings from the study highlights the need for standardized ESG reporting, enhanced data quality, and increased stakeholder engagement. Future research should explore the integration of ESG factors in specific asset classes and regions, as well as investigate the effectiveness of various ESG integration strategies.

A Comparative Analysis of Policy Responses to Development Gaps in ASEAN: Examining the Effectiveness of Macroeconomic and Regional Integration Strategies

Abstract: Association of Southeast Asian Nations (ASEAN) integration was originally developed to respond more effectively to political and economic pressures from outside and collective bargaining power with a unified regional organisation. However, the significant disparity in development levels among ASEAN member States posed a challenge to that goal and to the sustainable economic development of ASEAN. This paper will analyse all aspects of the existing disparity in the level of development of ASEAN member countries and the reasons behind it. It will also present and analyse existing policies and mechanisms in ASEAN that address the imbalance in the level of development. To analyse the challenges for ASEAN to address the issue of imbalance in the level of development in the light of the effectiveness of the current ASEAN response to the imbalance in the level of development and the objective and realistic context of the ASEAN member States in terms of the comparison between the countries with high level of development and the countries with low level of development. ASEAN's macro-control policies, influenced by the system, do pay attention to the key factors affecting high and low levels of development, but ASEAN lacks targeted response programmes for countries and regions with complex political contexts.

Herding cats: integrative leadership strategies in inter- and transdisciplinary research programs

Herding cats: integrative leadership strategies in inter- and transdisciplinary research programs

The Relationship Between Acculturative Stress, Integration Strategy, Parenting Self-Efficacy, and Multicultural Youth's Perceived Parental Support in South Korea

Over the past decades, ethnically and racially diverse populations have constantly increased in South Korea. In their acculturation, a number of multicultural families encounter acculturative stress, which can negatively influence their individual as well as relational well-being. Therefore, the present study aimed to investigate the association between acculturative stress of multicultural parents ( n = 2,249) and parental support perceived by multicultural youth ( n = 2,271) in South Korea. Additionally, the authors examined the potential mediating effect of parental self-efficacy moderated by parental acculturation on the association between parental acculturative stress and perceived parental support. Moderated mediation analysis was conducted to test the association between multicultural mothers’ acculturative stress and their youth's perceived level of parental support with the mediating effect of multicultural mothers’ parenting self-efficacy level moderated by integration strategy. The moderation analysis identified a significant buffering effect of achieving an integrated level of acculturation on multicultural parents’ acculturative stress and parenting self-efficacy. In addition, parenting self-efficacy significantly mediated the link between multicultural parents’ acculturative stress and multicultural youth's perceived level of parental support. Implications and future directions for mental health professionals, educators, and researchers were discussed.

Research on the Integration and Application of Digital Resources for Ideological and Political Education in University

With the rapid development of information technology, digital resources play an increasingly important role in ideological and political education in colleges and universities. The purpose of this paper is to explore the integration strategy of digital resources in ideological and political education in colleges and universities, and analyze the effect of their application in teaching. Through literature review, case analysis and field research, this paper proposes a set of effective resource integration framework and evaluates the contribution of digital resources to improving the quality of ideological and political education.

Research on the Impact and Strategies of Rail Transit Network Integration in the Context of Metropolitan Area Development: A Case Study of the Wuhan Metropolitan Area

The metropolitan area is one of the key focal points in the construction and development of China’s new urbanization. Urban integration is an emerging trend in metropolitan areas. This paper explores the traffic demand characteristics and economic aspects of rail transit within metropolitan regions and argues that the construction of an integrated urban rail transit network is an effective approach to support their development. Rail transit in metropolitan areas offers both technical and economic advantages, improving the efficiency of time and space resource utilization, fostering economic cooperation, and ultimately contributing to an integrated development model. However, the integration of rail transit networks faces several challenges, including road network planning, technical standards, and operational organization. Using the Wuhan metropolitan area as a case study, this paper analyzes the challenges of rail transit network integration and proposes strategic solutions for development.

Thought-Controlled Computer Applications: A Brain–Computer Interface System for Severe Disability Support

This study introduces an integrated computational environment that leverages Brain–Computer Interface (BCI) technology to enhance information access for individuals with severe disabilities. Traditional assistive technologies often rely on physical interactions, which can be challenging for this demographic. Our innovation focuses on creating new assistive technologies that use novel Human–Computer interfaces to provide a more intuitive and accessible experience. The proposed system offers four key applications to users controlled by four thoughts: an email client, a web browser, an e-learning tool, and both command-line and graphical user interfaces for managing computer resources. The BCI framework translates ElectroEncephaloGraphy (EEG) signals into commands or events using advanced signal processing and machine learning techniques. These identified commands are then processed by an integrative strategy that triggers the appropriate actions and provides real-time feedback on the screen. Our study shows that our framework achieved an 82% average classification accuracy using four distinct thoughts of 62 subjects and a 95% recognition rate for P300 signals from two users, highlighting its effectiveness in translating brain signals into actionable commands. Unlike most existing prototypes that rely on visual stimulation, our system is controlled by thought, inducing brain activity to manage the system’s Application Programming Interfaces (APIs). It switches to P300 mode for a virtual keyboard and text input. The proposed BCI system significantly improves the ability of individuals with severe disabilities to interact with various applications and manage computer resources. Our approach demonstrates superior performance in terms of classification accuracy and signal recognition compared to existing methods.

Thermal Stress as a Critical Factor in the Viability and Duration of Spittlebug Eggs

The spittlebug Mahanarva spectabilis (Distant, 1909) (Hemiptera: Cercopidae) is an important pest that causes significant losses in the production of forage crops for cattle feed. Information on the thermal requirements of this insect during the egg stage is crucial in assessing the interaction between insects and forage. The aim of this research was to evaluate the effects of constant and oscillating (diurnal/nocturnal) temperatures on the viability of M. spectabilis eggs and the duration of the egg stage. Temperatures of 20 °C to 30 °C were ideal for the development of this insect pest, resulting in greater viability and faster development of the embryos. In addition, it should be noted that a variation of up to 8 days is feasible for synchronizing the phenological stages of the forage plants and the eggs to be laid on these plants when subjected to 30 °C (16.6 days) or 20 °C (25.7 days) without significantly altering the viability of the eggs. Notably, a temperature oscillation of 25 °C during the day and 15 °C at night increased the viability of the eggs after exiting diapause. These results are essential for the rearing of M. spectabilis in the laboratory, allowing for the supply of eggs for experiments and contributing to advances in studies aimed at developing effective integrated management strategies for this pest.

Living labs as orchestrators in the regional innovation ecosystem: a conceptual framework

ABSTRACT This research explores the conceptual integration of Living Labs (LLs) into the Regional Innovation Ecosystem (RIE) to understand their potential as facilitators of Responsible Innovation. While previous studies explored the role of Living Labs, they lack comprehensive integration strategies for addressing wicked problems. A conceptual framework is developed to understand the main role, detailed functions, and key elements for integration. Seven expert interviews were conducted to develop the conceptual framework, using the Interuniversity Microelectronics Centre (imec) within the Flemish Innovation Ecosystem as empirical context. The findings emphasise Living Labs as central orchestrators, enabling user-centric innovation, real-world experimentation, and stakeholder engagement. We identify four key elements that facilitate the proposed integration: government policy and funding, strategic integration, formal collaborations, and proof of concept. These findings have implications for advancing the theoretical understanding of Living Labs' integration into the Regional Innovation Ecosystem, and for practitioners who aim to foster Responsible Innovation.

Efficacy of Pre and Post Emergence Herbicides against Complex Weed Flora, Yield and Economics of Blackgram under High Hills Wet Temperate Zone of Himachal Pradesh

Background: Implementing integrated strategies for weed management is essential in maximizing blackgram yield. Unchecked weed proliferation leads to substantial decrease in crop productivity. Methods: The current field experiment was conducted at Salooni, Himachal Pradesh, to evaluate the efficacy of different integrated weed management practices during Kharif 2022 and 2023. Eleven treatments targeting weed control were evaluated both at pre and post - emergence stages. Result: The predominant weeds were Echinochloa colona, Galinsoga parviflora, Cyperus species and other broad leaf weeds were Plantago lanceolata, Trifolium repens, Trianthema species, Ageratum conyzoides. Data on weed dynamics revealed that; after weed-free treatment, the application of Imazethapyr 75 g/ha as PE fb HW at 30 DAS; Pendimethalin 1.0 kg/ha as PE fb HW at 30 DAS and Pendimethalin 1.0 kg/ha + imazethapyr 75 g/ha (PE) recorded a significantly lower total weed count as compared to other treatments. Parameters related to blackgram growth and yield, including plant height, number of branches per plant, pods per plant, grain yield and haulm yield were significantly higher with weed-free treatment followed by application of imazethapyr 75 g/ha as PE fb HW at 30 DAS, remaining at par with application of pendimethalin 1.0 kg/ha + imazethapyr 75 g/ha (PE) and pendimethalin 1.0 kg/ha as PE fb HW at 30 DAS. The most economically efficient weed control method was the combination of pendimethalin 1.0 kg/ha + imazethapyr 75 g/ha (PE), as it resulted in the highest net returns and marginal benefit-cost ratio.

Hyperspectral Image Classification Algorithm for Forest Analysis Based on a Group-Sensitive Selective Perceptual Transformer

Substantial advancements have been achieved in hyperspectral image (HSI) classification through contemporary deep learning techniques. Nevertheless, the incorporation of an excessive number of irrelevant tokens in large-scale remote sensing data results in inefficient long-range modeling. To overcome this hurdle, this study introduces the Group-Sensitive Selective Perception Transformer (GSAT) framework, which builds upon the Vision Transformer (ViT) to enhance HSI classification outcomes. The innovation of the GSAT architecture is primarily evident in several key aspects. Firstly, the GSAT incorporates a Group-Sensitive Pixel Group Mapping (PGM) module, which organizes pixels into distinct groups. This allows the global self-attention mechanism to function within these groupings, effectively capturing local interdependencies within spectral channels. This grouping tactic not only boosts the model’s spatial awareness but also lessens computational complexity, enhancing overall efficiency. Secondly, the GSAT addresses the detrimental effects of superfluous tokens on model efficacy by introducing the Sensitivity Selection Framework (SSF) module. This module selectively identifies the most pertinent tokens for classification purposes, thereby minimizing distractions from extraneous information and bolstering the model’s representational strength. Furthermore, the SSF refines local representation through multi-scale feature selection, enabling the model to more effectively encapsulate feature data across various scales. Additionally, the GSAT architecture adeptly represents both global and local features of HSI data by merging global self-attention with local feature extraction. This integration strategy not only elevates classification precision but also enhances the model’s versatility in navigating complex scenes, particularly in urban mapping scenarios where it significantly outclasses previous deep learning methods. The advent of the GSAT architecture not only rectifies the inefficiencies of traditional deep learning approaches in processing extensive remote sensing imagery but also markededly enhances the performance of HSI classification tasks through the deployment of group-sensitive and selective perception mechanisms. It presents a novel viewpoint within the domain of hyperspectral image classification and is poised to propel further advancements in the field. Empirical testing on six standard HSI datasets confirms the superior performance of the proposed GSAT method in HSI classification, especially within urban mapping contexts, where it exceeds the capabilities of prior deep learning techniques. In essence, the GSAT architecture markedly refines HSI classification by pioneering group-sensitive pixel group mapping and selective perception mechanisms, heralding a significant breakthrough in hyperspectral image processing.