Strategic Solutions Research Articles

Resilient spatial design strategies research of urban inland rivers: The case of Xinghai Lake wetland in Ningxia, China

Improving the resilience of rivers is a crucial method for mitigating urban flooding, restoring the ecological role of rivers, and promoting sustainable ecological development. This study specifically examines the relationship between changes in river morphology and river elasticity space, using the Xinghai Lake wetland as a case study. The MIKE 21 numerical model is employed to simulate and analyze the morphology changes of Xinghai Lake under various conditions during both the low-water and high-water periods. The findings indicated that during the period of abundant water, the inundation area of Xinghai Lake increased by 1.64 times, the average water level rose by 0.96 m, and the average flow speed decreased by approximately 11.8 % compared to the flat water period under the circulating condition within the lake. By utilizing Xinghai Lake as a channel for overflowing Yellow River water, the stability of the lake's body is improved. When Xinghai Lake is utilized as the channel for water from the Yellow River, it contributes to the increased stability of the lake. Based on the morphological characteristics of various river sections, this study identifies the potential areas for scouring, eutrophication, and flooding in the future. It also suggests specific strategic solutions to improve the resilience and ecological robustness of the river. These proposals aim to provide scientific support for enhancing the ecological robustness of urban inland lakes.

The Role of Love for the Motherland Through Behavior Citizenship Education in Elementary Schools

The aim of this research is to implement patriotism behavior through civic education learning in elementary schools. Meanwhile, this research uses a qualitative method by conducting a literature study of the opinions of figures and reviewing journals related to the material. The younger generation or next generation is the generation that will continue the results of the struggles of their predecessors by becoming leaders, who are expected to be able to change and advance this nation to become more prosperous and successful. To make the younger generation become good leaders as expected will not happen if there is no feeling of love and defense of the country that grows in their hearts and souls. Love for the homeland is very important and must be instilled in the nation's young generation, so that in the future this nation can become a great and victorious nation. Love for the homeland is very important and must be instilled in the nation's young generation, so that in the future this nation can become a great and victorious nation. For this reason, a solution is needed to minimize it. In this case, it is important to carry out citizenship education learning in elementary schools because it will form characterfulattitudes for students.The results of this discussion show that this teaching is a strategic solution for implementing patriotism behavior in the home, school and community environments. By paying attention to several material concepts studied in citizenship education learning, teachers and students can apply the behavior of patriotism in their social environment.

Effect of in-situ emulsification on CO2/N2-based cyclic solvent injection process for enhancing heavy oil recovery and CO2 storage

Surfactant-assisted CO2/N2-based CSI (SA CO2/N2-CSI) process emerges as a strategic solution to migrate the high energy consumption and carbon intensity associated with traditional thermal operations for heavy oil recovery. However, the interphase mass transfer makes the emulsification behavior in this process complex. In this study, the effect of in-situ emulsification on CO2/N2-CSI is assessed using a sandpack model and microchannel chip. Mesoscopically, SA CO2/N2-CSI outperforms conventional CO2/N2-CSI in terms of both oil recovery and CO2 storage, owing to the enhanced CO2 diffusion, oil solubilization, and foamy oil stability due to emulsification. Microscopically, the impact of emulsifier injection rate on oil removal efficiency in the dead-end pores becomes negligible when the injection rate exceeds 50 nL/min, providing insights to the emulsification mechanisms underlying the optimal pressure depletion rate (9 kPa/min) in SA CO2/N2-CSI. This study demonstrates the applicability of the SA CO2/N2-CSI in fostering sustainable heavy oil production and CO2 storage.

Forgotten Gems: Exploring the Untapped Benefits of Underutilized Legumes in Agriculture, Nutrition, and Environmental Sustainability.

In an era dominated by conventional agricultural practices, underutilized legumes termed "Forgotten Gems" represent a reservoir of untapped benefits with the unique opportunity to diversify agricultural landscapes and enhance global food systems. Underutilized crops are resistant to abiotic environmental conditions such as drought and adapt better to harsh soil and climatic conditions. Underutilized legumes are high in protein and secondary metabolites, highlighting their role in providing critical nutrients and correcting nutritional inadequacies. Their ability to increase dietary variety and food security emerges as a critical component of their importance. Compared to mainstream crops, underutilized legumes have been shown to reduce the environmental impact of climate change. Their capacity for nitrogen fixation and positive impact on soil health make them sustainable contributors to biodiversity conservation and environmental balance. This paper identifies challenges and proposes strategic solutions, showcasing the transformative impact of underutilized legumes on agriculture, nutrition, and sustainability. These "Forgotten Gems" should be recognized, integrated into mainstream agricultural practices, and celebrated for their potential to revolutionize global food production while promoting environmental sustainability.

Navigating retail inflation in Brazil: A machine learning and web scraping approach to the basic food basket

In response to the escalating challenges of global inflation, particularly in developing countries like Brazil, this study combines web scraping and machine learning to analyze inflation dynamics within the retail sector. By systematically real-time pricing and product data from a sponsor company and its four main competitors, we focus on Brazil's most consumed staple foods—beans, rice, sugar, and coffee. Our analysis reveals critical insights into how inflation impacts consumer choices and supply chain operations, highlighting the effectiveness of this approach in providing strategic solutions for managing retail sectors under economic stress. The findings highlight the effectiveness of this approach in providing strategic solutions for managing retail sectors under economic stress. Notably, we observed a 400% increase in sales volume for beans following a 50% price reduction and discovered coffee's price stability as a competitive advantage. Additionally, managerial insights emphasize the importance of diversified sourcing and strategic inventory management to mitigate the adverse effects of inflation.

THE STRATEGIC VALUE OF BUSINESS ANALYSTS IN ENHANCING ORGANIZATIONAL EFFICIENCY AND OPERATIONS

Business analysts play a crucial role in enhancing organizational efficiency and operations by bridging the gap between business needs and technological solutions. This review explores the strategic value of business analysts in driving organizational success through effective analysis, communication, and stakeholder engagement. Business analysts act as key facilitators in organizations, translating business objectives into actionable requirements for technology solutions. By conducting thorough analysis of business processes, systems, and data, business analysts identify opportunities for improvement and recommend strategic solutions to enhance operational efficiency. Their role extends beyond mere problem-solving; they also play a pivotal role in aligning business goals with technology initiatives, ensuring that projects deliver tangible value to the organization. Furthermore, business analysts excel in communication and stakeholder engagement, acting as liaisons between business units, IT teams, and external vendors. Their ability to translate complex technical concepts into clear, understandable language enables them to facilitate collaboration and consensus among diverse stakeholders. This skill is particularly valuable in Agile environments, where collaboration and communication are key principles. Moreover, business analysts are instrumental in driving organizational change and transformation. By conducting impact assessments, developing change management strategies, and providing training and support, business analysts ensure that technology implementations are successful and sustainable. Their holistic approach to problem-solving and their focus on delivering value make them invaluable assets to organizations seeking to improve efficiency and operations. In conclusion, the strategic value of business analysts in enhancing organizational efficiency and operations cannot be overstated. Their unique blend of analytical skills, communication prowess, and stakeholder engagement abilities make them indispensable in driving organizational success. By leveraging the expertise of business analysts, organizations can streamline processes, improve decision-making, and achieve their strategic objectives with greater efficiency and effectiveness. Keywords: Strategic Value, Business Analysts, Enhancing, Organizational Efficiency, Operations.

Design tactics for tailoring transformer architectures to cybersecurity challenges

In the rapidly evolving landscape of cyber threats, effective defense strategies are crucial for safeguarding sensitive information and critical systems. Deep learning methods, notably the Transformer architecture, have shown immense potential in addressing cybersecurity challenges. However, customizing, and adapting Transformer architectures for cybersecurity applications presents a challenge, demanding the utilization of effective strategies to achieve optimal performance. This study presents a comprehensive analysis of design tactics employed in tailoring Transformer architectures specifically for cybersecurity problems. Design tactics, defined as strategic solutions to architectural challenges based on well-justified design decisions, are explored in-depth within the context of cybersecurity. By examining the modifications and adaptations made to the original Transformer architecture, this study unveils the design decisions and strategies crucial for successful implementation in diverse cybersecurity domains. The findings emphasize the significance of aligning design tactics with the unique business requirements and quality factors of each specific application domain. This study contributes valuable insights into the utilization of design tactics for customizing Transformer architectures in cybersecurity, paving the way for enhanced defense strategies against the dynamic and evolving nature of cyber threats.

Combined biomass network design: A new integrated approach based on ArcGIS

In light of contemporary energy and environmental objectives, a pivotal transformation of the energy system, encompassing biomass energy, is imperative. A notable challenge in biomass energy facility layout planning is the trade-off between high-efficiency production and the associated investment costs. To harmonize energy efficiency with economy viability, a hybrid layout with the simultaneous construction of centralized and decentralized biomass energy facilities has emerged as a crucial strategic solution. However, the delineation methods for these two layouts lack explicit data support. This study established a population density threshold (PDT) suitable for selecting the distributed layout and employed population density as the criterion for delineating the two layouts. Taking Fuxin City as an example, hybrid layout planning schemes were generated under different PDTs, and a cost and energy benefit analysis framework was developed for these schemes. The results indicated that the scheme with a PDT of 145 person/km2 exhibited the highest energy and economic comprehensive benefits. Compared to a single layout, the planning strategy proposed in this study could achieve nearly the same energy surplus level while saving an investment cost ranging from 2403.9 million CNY to 25,000.23 million CNY. The findings are applicable to other regions with similar conditions, and the analysis framework proposed in this study can be utilized in formulating biomass development strategies for other countries and regions.

Unveiling the Dynamics of Human Capital Valuation: Insights from Human Resource Accounting

In the contemporary knowledge economy, the value of enterprises increasingly hinges on the quality of their human capital. Human Resource Accounting (HRA) emerges as a pivotal field, offering methodologies to quantify, evaluate, and manage human capital effectively. This paper delves into the theoretical underpinnings of HRA, exploring models such as Human Resource Cost Accounting and Human Resource Value Accounting. Additionally, it examines the challenges hindering the widespread adoption of HRA, including theoretical immaturity, limited understanding, integration issues with corporate culture, cautious information disclosure, assessor competence deficiencies, and weak enterprise talent concepts. Strategies to overcome these challenges are proposed, encompassing enhancements to the theoretical framework, information technology proficiency, competence of accounting personnel, optimization of HR department functions, and refinement of legislation. By addressing these challenges and implementing strategic solutions, enterprises can effectively leverage human resources to achieve sustainable development and navigate the complexities of the modern market environment.

Development Tourism Destination Recommendation Systems using Collaborative and Content-Based Filtering Optimized with Neural Networks

Tourism, a vital sector in the global economy, benefits significantly from advancements in infrastructure, accessibility, and information availability. However, the vast volume of information can overwhelm travelers, underscoring the need for efficient recommendation systems. This research aims to develop an advanced tourist destination recommendation system by integrating Collaborative Filtering (CF) and Content-Based Filtering (CBF) models with Neural Networks. This approach seeks to enhance recommendation accuracy by closely aligning with user preferences and addressing the challenge of limited data. The study utilizes data from 523 tourist destinations across West Java, along with user preference assessments, encompassing stages of data collection, labeling, pre-processing, pre-training, neural network-based training, model evaluation, and the presentation of recommendation outcomes. The optimization of the recommendation models through neural networks has notably improved the precision of tourist destination suggestions, achieving Root Mean Square Error (RMSE) values below 0.37 for both CF and CBF approaches. This research significantly contributes to increasing the search efficiency and accuracy for tourist destination information, offering a strategic solution to the prevalent issue of information overload in the tourism industry.

How we deal with transition planning as we approach the e-bus era

With the rapid development of new energy, the widespread adoption of electric buses is significant. This paper delves into the environmental impact, economic implications, and strategic planning solutions associated with the proliferation of electric buses. We initiate this process by using bus data from Qingdao, China. Subsequently, using the fuel life cycle method, we carefully examined CO and the pollutant emission characteristics of Qingdao bus fleet before and after electrification. The research results reveal that CO, nitrogen oxides, and VOC emissions have all increased. An economic analysis of electric vehicle adoption in public transportation was conducted in response to the second question. Considering government subsidies, a cost-saving model for electric vehicles per 100 kilometers was constructed. Furthermore, the study found that as the electrification rate increases, the operating costs of electric buses in Qingdao gradually decrease. We developed a comprehensive linear integer programming model to address the third question. The model, aimed at achieving the lowest comprehensive cost while considering various constraints, was solved through the branch and bound method. We applied this model to analyze the optimal plans for completing the conversion of electric buses in Qingdao, Zhengzhou, and Xi’an within a 10-year timeframe. For the fourth question, we have put forward policy recommendations.

Pendampingan Optimalisasi Pemanfaatan Daun Kelor Sebagai Pangan Tambahan di Desa Randuputih

The activity of optimizing the utilization of moringa leaves as an additional food source in Randuputih Village has become a strategic solution to improve the nutritional status of the community, reduce the incidence of stunting, and alleviate hunger in support of achieving Sustainable Development Goal (SDG) 2. This initiative is carried out by students from the Community Service Program (KKNT) Group 1 at UPN "Veteran" East Java, Field Supervisors (DPL), and in collaboration with the National Population and Family Planning Board (BKKBN) of East Java Province. The target of the activity is 25 households participating in the Posyandu (integrated health post) in Randuputih Village. The form of optimizing the utilization of moringa leaves includes enhancing moringa production, disseminating information about the benefits of moringa leaves, and promoting the consumption of diverse, nutritious, balanced, and safe food (B2SA). Based on the mentoring results, there was a 50% increase in the knowledge of the participating mothers. Through these outcomes, it is expected that the mothers in Randuputih Village can apply the knowledge gained to improve nutritional status and reduce the incidence of stunting in the community.

Analysis of the Development Path of Golf Events in China

This paper examines the evolution and challenges of golf events in China through literature investigation and case analysis. Despite a relatively late start, China's golf industry has seen significant growth, marked by an increasing golfing population and the establishment of major tournaments. However, the industry faces challenges due to economic disparities, limited promotional efforts, and the absence of marquee players and events. To address these issues, the study proposes strategic solutions aimed at aligning China's golf events with international standards and elevating the sport's domestic profile. These strategies include grassroots promotion, talent development, and media engagement. The paper underscores the need for a multi-dimensional approach to overcome barriers such as elitist perceptions and promotional inadequacies. It advocates for democratizing golf's image, enhancing youth and amateur platforms, and leveraging media to reshape public opinion. The goal is to position China's golf events on a global platform, contributing to the sport's international diversity and competitive spirit. The paper concludes that with continued efforts in policy promotion and industry integration, China can make significant strides in elevating its golf events to global prominence.

Does the incorporation of shell waste from aquaculture in the construction of marine facilities affect the structure of the marine sessile community?

The growth of the human population causes significant harm to ecosystems, directly affecting the biological diversity of coastal areas by replacing natural habitats with artificial structures such as breakwaters, ports, and marinas. The hard substrate from those marine facilities lacks the topographic complexity of natural habitats. Because of that, artificial habitats usually do not support a diverse community to the same extent as rocky shores in the surroundings. To address this issue and bring a strategic solution to the improper disposal of shell waste from aquaculture farms, we evaluated how increasing the environmental heterogeneity of walls by incorporating mussel and oyster shells on artificial concrete affected the diversity of sessile organisms from the subtidal zone. Adding shells to concrete positively affected ascidians' richness. Substrates with added shells supported more species than flat substrates in total. They promoted species that did not occur on flat substrates that simulated the traditional walls of marinas and harbors. However, it did not affect the number of bryozoans and the average species richness. Consequently, incorporating shells resulted in communities with completely distinct structures from those on flat substrates. Adding shells affected the community structure, reducing the dominance by the exotic bryozoan Schizoporella errata, and promoting the occurrence of other groups, such as ascidians. Using shell residues from aquaculture on marina walls adds substrate for colonization. Still, it is also likely to provide refuges for fragile and vulnerable organisms, like crevices and pits in natural habitats. Because of that, the increment in diversity was mostly group-specific and restricted to ascidians. This research reinforces the importance of creating complex artificial coastal structures, inspired by the blue economy, for a more heterogeneous coverage of sessile communities and reduced presence and dominance of exotic species. Thus, the strategy tested here, besides the effects on the sessile community, also supports efforts to reduce inappropriate waste disposal in the environment.

Value Engineering Adoption’s Barriers and Solutions: The Case of Saudi Arabia’s Construction Industry

Several developing countries around the globe have launched their future visions, which include concrete strategic plans that involve many kinds of mega-construction projects. One common goal across these visions is to increase the efficiency of construction projects’ huge expenditures using recent sustainable, practical engineering tools, such as the value engineering (VE) approach. Although the VE approach has been around for a few years now, some barriers prevent the popularity of its application in different construction projects. This research investigates the barriers to adopting VE through a systematic literature review. This study has categorized the application barriers using thematic analysis under three main categories: barriers related to practitioners’ knowledge and background, barriers associated with the behavior of practitioners towards VE, and barriers related to the implementation of VE. Moreover, this research has investigated solutions to overcome these barriers and improve the application of VE in construction projects. Saudi Arabia’s construction industry is used as a case study. A survey was distributed to Saudi construction industry practitioners using the snowballing technique to evaluate the criticality of the found barriers to adopting VE and the best strategic solutions to overcome these barriers using the importance–performance analysis (IPA) approach. Based on the results of this study we have specifically recommended including a VE course in college engineering programs and an incentive clause in construction contracts to encourage VE application on construction projects at the top of the list of proposed solutions. Finally, defining the criticality of barriers and the effectiveness of solutions will help enhance the application of VE and sustainability practices in the Saudi Arabian construction industry and around the globe.

Collaborative innovations in Artificial Intelligence (AI): Partnering with leading U.S. tech firms to combat human trafficking

This article reviews, integrates, and expands upon research initiatives that explore the development and implementation of advanced artificial intelligence (AI)–driven tools and methodologies. In exploring collaborations with leading U.S. AI technology firms, including Nvidia, Dataiku, DataRobot, and C3.ai, this study is specifically aimed at identifying, preventing, and combating human trafficking. This collaborative effort seeks to create a synergistic framework that capitalizes on the unique capabilities and resources of each firm. The overarching goal is to enhance the effectiveness of AI technologies in detecting trafficking activities, analyzing diverse data sources, and providing vital support to law enforcement and NGOs in rescue and prevention efforts. The comprehensive review delves into the multifaceted applications of AI, emphasizing its role in prevention through machine learning, data analytics, and natural language processing. It navigates through collaborative initiatives, presenting partnerships with prominent U.S. tech firms, accompanied by case studies that showcase successful collaborative projects. Challenges inherent in collaborative AI efforts are addressed, and the paper proposes strategic solutions to overcome these obstacles. The ethical and legal considerations section scrutinizes the implications of deploying AI in human trafficking prevention, exploring the delicate balance between innovation and safeguarding privacy and civil liberties. Furthermore, the final section anticipates future directions and recommendations, providing insights into emerging technologies that could enhance anti-trafficking efforts. Specific recommendations are offered for fortifying collaborations between AI developers and tech firms, and the paper discusses broader implications for policy, suggesting avenues for future research in the dynamic field of AI-driven human trafficking prevention. In essence, this comprehensive review not only synthesizes existing knowledge but also integrates a forward-looking research initiative, contributing significantly to the ongoing discourse on leveraging technology to combat human trafficking on a global scale.

Value Addition and Advertising of Non-Timber Forest Products for Promoting Livelihood of Forest-Fringe Tribes: A Case Study of Sonajhuri Haat under Bolpur-Sriniketan Block in Birbhum District, West Bengal, India

This research article focuses on the holistic approach of e-commerce potentiality of products prepared from non-timber forest products through interventions of value addition and other methods of in innovation. The study has been carried on in Sonajhuri Haat near Santiniketan-Bolpur in Birbhum District, West Bengal, India by analyzing 10 (ten) products intervened through value addition to a minimal extent. The approach and impact of high intervention with proper and befitting value addition to these products can have much better pricing for earning much more profits if marketed through an online platform dominated by good numbers of globally reputed e-commerce Companies. The present study is trying to come out with incidental strategic solutions by which the traditional handlers of non-timber forest products will be able to have a comfortable livelihood through a larger financial gain. This will remove the bottleneck of viable marketing scope and opportunity and the venture will be flourished in a meaningful manner

AIoT in Smart Homes: Challenges, Strategic Solutions, and Future Directions

This study delves into the intricacies of AIoT integration within the domain of smart homes, meticulously analyzing the principal challenges and prospective trajectories for its evolution. Initially, the discourse establishes a foundation by explicating relevant theories and key technological pillars underpinning the intelligent lifestyle paradigm sustained by AIoT. Subsequent to this theoretical framework, the paper dissects the synergy between Artificial Intelligence (AI) and the Internet of Things (IoT), emphasizing their confluence in AIoT and its consequential role in fortifying the smart home ecosystem. Furthermore, the research extends its inquiry by presenting a detailed case study, which illustrates the practical implementation scenarios of AIoT within the ambit of an intelligent living environment. In this context, the exposition brings to light the complexities and tangible impediments besieging AIoT integration, concurrently proposing viable resolutions designed to fortify its application. In the concluding analysis, the manuscript provides an in-depth review of emerging industry trends, thereby projecting a strategic trajectory for the future advancement of AIoT in augmenting smart living spaces. This comprehensive examination not only underscores the transformative potential of AIoT but also critically addresses the exigencies and adaptive strategies requisite for its full-scale implementation.

Assessment of waste management scenarios toward marine plastic debris mitigation and cost reduction

The increase in solid waste volume and change in composition due to urban development cause negative effects on the marine ecological environment. The aim of this study was to assess the amount of plastic waste leaking into the environment from the municipal solid waste (MSW) management system and propose mitigation measures towards sustainable development in Hue city, Viet Nam. The method of modelling MSW management system applying Material Flow Analysis (MFA) and simulating models through scenarios were used to propose strategic solutions to improve and develop the system. As a result, the implementation of segregation at source and improvement of the current collection system are urgently needed. Integrated treatment system including material recovery facility combined with transfer station, incineration, centralized and decentralized composting treatment can reduce the landfilled amount to 5% and the quantity of mismanaged plastic waste infiltrating the ocean has undergone a substantial reduction of several hundred-fold.

A digital twin framework for innovating rural ecological landscape control

BackgroundBecause cities prioritize economic development and face ecological space and resource constraints, the development of rural areas, which have untapped potential, should receive increased attention. Consequently, rural ecological landscapes should be constructed through the control of land use types and quality to fully ensure the sustainable development of urban and rural ecosystems. The digital twin is a philosophy and a methodology that connects the digital and physical realms, facilitating realistic and dynamic mapping simulations of the real world. This capability offers valuable insights for digital decision-making, maintenance, and optimization of rural ecological landscapes. Given the digital transformation of rural ecological landscape control, this paper proposes a rural intelligent control approach based on the digital twin concept and new technology.MethodsFive components of the rural ecological landscape digital twin framework are selected to collectively facilitate the monitoring and analysis of rural conditions, formulate strategic solutions, implement management and control behaviors, and enhance participant interaction. The method includes three steps: mapping and fusing information, constructing and managing a database, and constructing a digital platform. Data mining and spatial fusion are performed through targeted mapping methods, and Oracle and ArcGIS SDE are utilized for database construction and fused data management. The twin platform is generated via HTML, desktop application development and geographic information system development technologies using a distributed system as the core.ResultsBased on multiple case studies, our platform efficiently gathers system information on rural ecological landscapes using a twin model. Through evaluation and analysis, it determines landscape governance zones, adjusting them based on land use conditions. The platform refines control schemes with feedback from diverse users, ensuring effective control in various scenarios. Its key advantages include high development efficiency, flexible access, and smooth cross-platform integration. Although implemented in rural China, the proposed digital twin framework is applicable to any rural area requiring ecological landscape digital control.ConclusionsThe value of the platform lies in its powerful information processing capability, overcoming the limitations of time and space and enabling the presentation and integration of fictional scenes Thus, the platform provides a reference for the digital transformation of rural ecological landscape control.