Efficient Technology Research Articles

Human Resource Management Challenges in Modern Hospitality at the Coastal Regions

Purpose: The main objective of this study was to explore the human resource management challenges in modern hospitality at the coastal regions. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings revealed that there exists a contextual and methodological gap relating to the human resource management challenges in modern hospitality at the coastal regions. Preliminary empirical review revealed that the high turnover rates prevalent in coastal hospitality, the need for cross-cultural HRM strategies to manage a diverse workforce, the importance of sustainability initiatives in HR practices, the impact of technology adoption on HR efficiency, the necessity of effective workforce planning in hurricane-prone regions, and the role of talent management and career development in attracting and retaining skilled employees. Collectively, these findings highlight the critical role of human resource management in shaping the success and sustainability of hospitality establishments in coastal regions. To address the identified challenges, practitioners in the industry must consider tailored HR strategies that account for seasonal fluctuations, cultural diversity, environmental sustainability, and technological advancements. Unique Contribution to Theory, Practice and Policy: By grounding the study on these three theories; Human Capital theory, Resource-Based View theory, and Contingency theory, researchers can develop a robust framework for exploring the human resource management challenges in modern hospitality at coastal regions, taking into account the importance of human capital development, resource-based competitive advantage, and contextual contingencies. The study therefore recommended for developing tailored HR strategies, investing in employee training and development, promoting sustainability and environmental responsibility, enhancing employee wellbeing, leveraging technology for HR efficiency and being crisis and disaster prepared. Addressing the unique human resource management challenges in modern coastal hospitality requires a proactive and strategic approach. By implementing these recommendations, hospitality businesses in coastal regions can create a more resilient and effective HR management system, leading to improved guest experiences, employee satisfaction, and overall business success. Keywords: Coastal Hospitality, Human Resource Management, Challenges, Modern Hospitality, Coastal Regions

Efficiency and renewability in energy conversion – A system perspective on policy objectives and instruments for climate change mitigation

The use of energy from renewable sources and improved efficiency throughout energy conversion, distribution and end-use are important means for mitigating climate change. This paper provides a novel exploration of the relationship between the system boundary in national greenhouse gas (GHG) inventories and policy incentives regarding technologies for GHG emission reduction, including the use of biomass, the use of heat from combined heat and power (CHP) production, industry waste heat, and energy recovery of waste. A novel generalisable applied method for applying a system perspective on a policy coherence analysis is another contribution from this paper. Major findings include the discovery that policies largely favour the use of biomass over technologies for energy efficiency, which does not adhere to the EU energy efficiency first principle. Also, although the EU largely promotes CHP production and high-efficiency CHP production, these technologies are largely opposed by Swedish policies. The following theoretical explanations for this are proposed: (1) The use of attributional GHG inventories for geographical areas induces the use of attributional climate policy objectives; and (2) The use of attributional climate policy objectives induces policies largely supporting the domestic use of technologies which potentially improve one’s own climate objective, and largely opposing the domestic use of technologies which potentially worsens one’s own climate objective, irrespective of the impact on global GHG emissions. An expansion of the current study including other policy and geographical areas is suggested for future research to further validate the generalisability of these outlined theoretical explanations. In conclusion, as the reduction of global GHG emissions is crucial for mitigating climate change, a shift from an attributional view in national GHG emission governance towards a consequential view is suggested for better efficacy in global GHG emissions reduction.

Switching mechanisms of two-dimensional transition metal dichalcogenides(2D TMDCs)-based memristive devices for neuromorphic computing

The recent surge in artificial intelligence has escalated the demand for computing performance and storage capability in information processing hardware. However, in traditional von Neumann architecture, the processing and memory units are connected by a bus with limited bandwidth, which leads to excessive time and power consumption in data transfer. To address this issue, the emerging neuromorphic architecture co-locates the memory and processing functionalities by mimicking the information processing akin to the human brain. The inefficiency of traditional technology in neuromorphic hardware has led to extensive interest in novel memristive devices. The two-dimensional (2D) transition metal dichalcogenides (TMDCs) exhibit appealing characteristics for memristive devices, including tunable bandgap, high mobility at atomic thickness, and the rich possibility of defect engineering. This review focuses on the switching mechanisms of memristive devices based on 2D TMDCs. Additionally, properties and performances of 2D TMDCs-based memristive devices are also summarized in this review with respect to different switching mechanisms.

Advances in emerging digital technologies for energy efficiency and energy integration in smart cities

Advances and fast development in emerging digital technologies trigger the next generation revolution in energy areas and smart cities, while roles and mechanisms of digital technologies for smart and sustainable transition is unclear. Furthermore, energy flexibility enhancement in intermittent renewable-stochastic demand power management and survival capability in minimizing frequency of power outrage are still not clear, when suffering from climate change and extreme events with emerging digital technologies. In this study, advances in emerging digital technologies have been systematically and comprehensively reviewed, in terms of current development status and mechanisms for energy efficiency and energy integration in energy-efficient systems. Afterwards, roles of energy digitalization technologies are provided for high-efficiency, low-carbon and intelligent building energy systems, including artificial intelligence for dynamic performance predictions, advanced model predictive controls and optimisations of nonlinear systems (e.g., PVs, heat pumps, heat recovery systems and multi-energy storages). Furthermore, digital twin-based building energy digitalization technologies are applied for 3D modeling, monitoring, real-time visualization and virtual reality interaction. Frontier multi-agent based distributed energy systems are comprehensively proposed with multi-agent energy management, including RE-battery-building-EV, RE-building-hydrogen vehicles, and both centralised and distributed energy management systems. Considering the multi-energy system capability for power management (intermittent renewable energy and energy demands) and survival capability when suffering from high-impact and low-probability events, both energy flexibility and energy resilience with energy digitalization technologies are interconnected, for climate change adaption and internet of energy. This study provides a systematic and comprehensive review on emerging digital technologies for energy efficiency and energy integration in smart cities, providing guidelines on sustainable and smart transitions with multi-agent based distributed energy management and energy digitalization technologies.

Secure Organ Donation Management: Leveraging Ethereum Based Blockchain Technology for Trust and Efficiency

The complexity of organ donation and transplantation in today's healthcare systems need specialized methods at several stages, including registration, donor-recipient matching, organ retrieval, delivery, and transplantation. In order to ensure justice, efficiency, patient happiness, and confidence, a comprehensive solution is required to address the legal, clinical, ethical, and technical difficulties. This paper proposes to use a private Ethereum blockchain to create a decentralized, secure, traceable, auditable, private, and trustworthy system. By creating smart contracts and putting six algorithms into practice, we offer comprehensive insights into validation and testing. We demonstrate the efficacy of our suggested approach using a comparative analysis with current solutions andprivacy, security, and confidentiality studies. Adopting a private Ethereum blockchain- based solution also has benefits over conventional centralized systems. Decentralization lowers the possibility of bias or manipulation by ensuring that no one party controls the entire process. Furthermore, the immutability and transparency that come with blockchain technology improve confidence between all parties involved, including regulators, donors, beneficiaries, and medical experts. KEYWORDS: Blockchain, Organ Donation, Organ Transplantation, Decentralization, Smart Contracts, Ethereum, Traceability, Data Privacy And Security.

Optimizing Production Scheduling in Manufacturing: Strategies and Technologies for Efficiency

This is manufacturing, efficient production scheduling is crucial for maximizing output and reducing costs. This abstract describes strategies and technologies to achieve this efficiency. It covers aspects like demand forecasting, resource allocation, optimizing task sequencing, and leveraging real-time tracking. By implementing these methods, manufacturers can streamline workflow, minimize idle time, and ensure timely deliveries. This report explores the challenges faced in production scheduling in manufacturing and examines strategies and technologies that can be used to optimize scheduling processes. The report discusses the importance of production scheduling in achieving operational efficiency and meeting customer demands. Various strategies, such as lean manufacturing, just-in- time (JIT) production, and advanced planning and scheduling (APS) systems, are analyzed for their effectiveness in improving production scheduling. Additionally, the report explores technologies such as artificial intelligence (AI), machine learning, and the Internet of Things (IoT) that can enhance production scheduling capabilities. Case studies and examples are used to illustrate how these strategies and technologies have been implemented successfully in real-world manufacturing settings. The report concludes with recommendations for manufacturers looking to optimize their production scheduling processes.

Literature Review: The Application of Information Technology in Enhancing Efficiency in Recruiting and Selecting Human Resources for Remote Work

This research investigates the evolving landscape of remote work recruitment in the era of globalization. Employing a qualitative approach through a literature review, the study highlights the complexity of the remote work recruitment process, necessitating tailored strategies in the digital age. Findings indicate that while the internet and social media may not significantly boost applicant quantity, they play a pivotal role in refining job openings' targeting, enhancing recruitment efficiency. The study recommends incorporating questionnaires and effective categorization methods in the selection process for increased accessibility and efficiency. Post-employment, the research suggests leveraging online work platforms for monitoring remote employee performance. This holistic approach ensures effective management, monitoring, and optimization of the remote workforce in the evolving remote work landscape.

Artificial intelligence and sustainable development during the pandemic: An overview of the scientific debates

The current work aims to analyze the main themes related to artificial intelligence (AI) and sustainable development during the pandemic period. This study provides an overview of the specialized literature related to AI and sustainability from the beginning of the pandemic through 2023. The present paper analyses scientific literature emphasizing both artificial intelligence's positive and negative impacts on sustainable development objectives (SDGs). To conduct the research, we employed bibliometric analysis and text-mining techniques to identify the major themes in the literature indexed in the Web of Science and Scopus databases. Firstly, we used descriptive measures to identify the authors' impact, the article production by country, the main keywords used, and other descriptive data. We further used data reduction methods based on co-word analysis (such as multiple correspondence analysis) on authors' keywords to show patterns in the themes explored in the literature. Bibliometric analysis was supplemented by text mining using Latent Dirichlet allocation (LDA) and structural topic modeling on abstracts to provide a comprehensive view of scientific debates on AI and sustainable development. Our research has identified various themes in the literature related to AI and sustainable development. These themes include social sustainability, health-related issues, AI technologies for energy efficiency, sustainability in industry and innovation, IoT technologies for smart and sustainable cities, urban planning, technologies for education and knowledge production, and the impact of technologies on SDGs. We also found that there is a significant positivity bias in the literature when discussing the impact of AI on sustainable development. Despite acknowledging certain risks, the literature tends to focus on the potential benefits of AI across various sectors. In addition, the analysis shows a growing emphasis on energy efficiency, which is facilitated by the use of AI technologies. Our study contributes to a better understanding of current scholarly discussion trends and emerging scientific avenues regarding AI and sustainable development. It also highlights the areas where research is needed and the implications for practitioners and policymakers.

Recent Advancements in Continuous-Flow Suzuki-Miyaura Coupling Utilizing Immobilized Molecular Palladium Complexes.

Immobilized Pd-catalyzed Suzuki-Miyaura coupling under continuous-flow conditions using a packed-bed reactor, representing an efficient, automated, practical, and safe technology compared to conventional batch-type reactions. The core objective of this study is the development of an active and durable catalyst. In contrast to supported Pd nanoparticles, the attachment of Pd complexes onto solid supports through well-defined coordination sites is considered a favorable approach for preparing highly dispersed and stabilized Pd species. These species can be directly employed in various flow reactions without the need for pre-treatment. This concept paper explores recent achievements involving the application of immobilized Pd complexes as precatalysts for continuous-flow Suzuki-Miyaura coupling. Our focus is to elucidate the significance of the designed catalyst structures in relation to their catalytic performance under flow conditions. Additionally, we highlight various reaction systems and catalyst packing methods, emphasizing their crucial roles in establishing a practical synthesis process.

Role of Blockchain Technology in Enhancing Supplychain Traceability, Transparency and Efficiency

The conventional traceability system faces challenges such as centralized control, lack of transparency, unreliable data, and the frequent creation of information silos. To address these issues, this paper introduces a blockchain-based traceability system tailored for the storage and retrieval of product information in the agricultural supply chain. Utilizing blockchain's inherent properties of decentralization, immutability, and traceability, this system enhances the transparency and trustworthiness of traceability data. Furthermore, the integration of blockchain technology with cryptography is suggested to enable the secure exchange of private information within the blockchain network. Additionally, we have developed a reputation-based smart contract system to motivate network participants to contribute traceability data actively. This approach aims to leverage blockchain's capabilities to overcome the limitations of traditional traceability systems in the agricultural sector. This research paper explores the role of blockchain technology in enhancing supply chain transparency and efficiency, focused on food and agriculture sector. It underscores the growing consumer demand for authentic product and the challenges of maintaining transparency is increasingly becoming difficult in global and complex markets. Findings reveal that blockchain has significant capabilities to increases transparency, traceability, and security, while potentially reducing costs and errors. However, the study also identifies challenges, such as technological complexities, scalability issues, regulatory uncertainties, and integration hurdles. A strategic framework for adopting blockchain in retail supply chains is proposed, offering insights for practitioners and policy considerations. The paper also designs a novel traceability system for agricultural product supply chains, employing blockchain technology to address issues such as centralized management, opaque information, and data unreliability. The study concludes that while blockchain technology presents significant opportunities for transforming supply chains, realizing its full potential necessitates careful strategizing and sector-wide collaboration. The research offers recommendations for practitioners and outlines directions for future research, highlighting that the successful application of blockchain hinges on organizational adjustments and meeting specific boundary conditions.

Camera-based plant growth monitoring for automated plant cultivation with controlled environment agriculture

Building integrated photovoltaic thermal (BIPVT) greenhouse technology exhibits great potential to enhance crop yielding, energy harvesting, and water management for highly efficient farming and enables controlled environment agriculture (CEA) for automated plant cultivation. The proposed smart greenhouse system uses BIPVT, geothermal, image-based sensing, and control technologies for high energy efficiency and high-fidelity plant growth control. A camera-based, computer-controlled system was demonstrated to successfully monitor single and multiple food plants' growth. The growth rate over the life-cycle of the plant was automatically recorded by cameras without human interference. A novel algorithm was developed to extract the plants from the background of the image and then to measure the length from the ground to the top of the longest plant with different shapes or profiles. The growth rate was automatically generated as fundamental data for farming management and control. Because the plant growth is slow and the errors caused by image noise can be comparable with the actual growth when the interval between images is not large enough, the noise of a camera is evaluated by comparing multiple images under the same exposure condition, which is used to provide the error range of the measurements. The plant growth monitoring system will be integrated into an ongoing greenhouse project for smart greenhouse operation.

Ultrasound Technology for Enhancing Drying Efficiency and Quality of Fruits and Vegetables: A Review

Ultrasound Technology for Enhancing Drying Efficiency and Quality of Fruits and Vegetables: A Review

Innovate and Validate: Design-Led Simulation Optimization to Test Centralized Registration Feasibility in a Multispecialty Clinic.

This study utilizes a design-led simulation-optimization process (DLSO) to refine a hybrid registration model for a free-standing outpatient clinic. The goal is to assess the viability of employing DLSO for innovation support and highlight key factors influencing resource requirements. Manual registration in healthcare causes delays, impacting patient services and resource allocation. This study addresses these challenges by optimizing a hybrid centralized registration and adopting technology for efficiency. An iterative methodology with simulation optimization was designed to test a proof of concept. Configurations of four and five registration options within a hybrid centralized system were explored under preregistration adoption rates of 30% and 50%. Three self-service kiosks served as a baseline during concept design and test fits. Centralized registration accommodated a daily throughput of 2,000 people with a 30% baseline preregistration rate. Assessing preregistration impact on seating capacity showed significant reductions in demand and floor census. For four check-in stations, a 30%-50% preregistration increase led to a 32% seating demand reduction and a 26% decrease in maximum floor census. With five stations, a 50% preregistration reduced seating demand by 23% and maximum floor census by 20%. Innovating introduces complexity and uncertainties requiring buy-in from diverse stakeholders. DLSO experimentation proves beneficial for validating novel concepts during design.

A new automatic sugarcane seed cutting machine based on internet of things technology and RGB color sensor.

Egypt is among the world's largest producers of sugarcane. This crop is of great economic importance in the country, as it serves as a primary source of sugar, a vital strategic material. The pre-cutting planting mode is the most used technique for cultivating sugarcane in Egypt. However, this method is plagued by several issues that adversely affect the quality of the crop. A proposed solution to these problems is the implementation of a sugarcane-seed-cutting device, which incorporates automatic identification technology for optimal efficiency. The aim is to enhance the cutting quality and efficiency of the pre-cutting planting mode of sugarcane. The developed machine consists of a feeding system, a node scanning and detection system, a node cutting system, a sugarcane seed counting and monitoring system, and a control system. The current research aims to study the pulse widths (PW) of three-color channels (R, G, and B) of the RGB color sensors under laboratory conditions. The output PW of red, green, and blue channel values were recorded at three color types for hand-colored nodes [black, red, and blue], three speeds of the feeding system [7.5 m/min, 5 m/min, and 4.3 m/min], three installing heights of the RGB color sensors [2.0 cm, 3.0 cm, and 4.0 cm], and three widths of the colored line [10.0 mm, 7.0 mm, and 3.0 mm]. The laboratory test results s to identify hand-colored sugarcane nodes showed that the recognition rate ranged from 95% to 100% and the average scanning time ranged from 1.0 s to 1.75 s. The capacity of the developed machine ranged up to 1200 seeds per hour. The highest performance of the developed machine was 100% when using hand-colored sugarcane stalks with a 10 mm blue color line and installing the RGB color sensor at 2.0 cm in height, as well as increasing the speed of the feeding system to 7.5 m/min. The use of IoT and RGB color sensors has made it possible to get analytical indicators like those achieved with other automatic systems for cutting sugar cane seeds without requiring the use of computers or expensive, fast industrial cameras for image processing.

From MOSFET to FinFET to GAAFET: The evolution, challenges, and future prospects

With the swift progression of semiconductor technology, the transition from Metal-Oxide-Semiconductor Field-Effect Transistors (MOSFETs) to Fin Field-Effect Transistors (FinFETs) and further to Gate-All-Around Field-Effect Transistors (GAAFETs) presents significant potential for the future of electronic devices and systems. This article delves into the intricate applications, challenges, and prospective evolutions associated with FinFET and GAAFET technologies. Findings suggest that these technologies are particularly apt for low-power logic systems, high-performance computing, and artificial intelligence domains. However, as dimensions shrink, challenges pertaining to heat dissipation, leakage, and manufacturing consistency become prominent. Despite these hurdles, the horizon for semiconductor technology remains bright, encompassing exploration of alternative materials such as Germanium and 2D compositions and innovative designs like U-shaped Field-Effect Transistors and Complementary Field-Effect Transistors. As the industry continues its relentless pursuit of even more efficient, smaller transistors, the exploration of alternative materials and diversification in architecture may play a pivotal role in future developments. In essence, while the semiconductor sphere confronts challenges, relentless innovation promises a future brimming with even more efficient and compact transistor technologies.

Biological Insights into Energy Storage Technologies

In the face of increasing energy demands and environmental concerns, the search for sustainable and efficient energy storage technologies has intensified. This review presents a holistic survey of innovative solutions by examining biological approaches. The study proceeds through three thematic sections: Biological Fuel Cells and Battery Systems, Photosynthesis and Solar Energy Storage, and Energy Generation at the Cellular Level. The first section, Biological Fuel Cells and Battery Systems describes the integration of biological processes into energy storage mechanisms. The use of biological systems and their contribution to the development of environmentally friendly and high performance energy storage technologies are discussed. In the 2nd section, Photosynthesis and Solar Energy Storage are very prominent in sustainability and energy efficiency issues in terms of both energy production and energy source food production while reducing carbon dioxide with photosynthesis-based energy storage methods. Energy production at the cellular level is discussed in the last section, Adenosine triphosphate (ATP), which is necessary for the cell to perform processes such as growth, reproduction and response to environmental stimuli, is characterized as the primary fuel. ATP production is carried out by mitochondria in animal cells and chloroplast in plant cells. Energy storage at the cellular level is carried out by molecules such as glycogen and lipids in animal cells and starch in plant cells. Considering all three issues, it has been observed that biological-based energy storage methods have numerous advantages in terms of sustainability and energy efficiency. In application areas where engineering approaches are at the forefront, it is thought that it may be possible to design more sustainable and highly energy efficient energy production systems by gaining new perspectives with biology-based simulation studies.

Rational Design of Organic Electrocatalysts for Hydrogen and Oxygen Electrocatalytic Applications.

Efficient electrocatalysts are pivotal for advancing green energy conversion technologies. Organic electrocatalysts, as cost-effective alternatives to noble-metal benchmarks, have garnered attention. However, the understanding of the relationships between their properties and electrocatalytic activities remains ambiguous. Plenty of research articles regarding low-cost organic electrocatalysts started to gain momentum in 2010 and have been flourishing recently though, a review article for both entry-level and experienced researchers in this field is still lacking. This review underscores the urgent need to elucidate the structure-activity relationship and design suitable electrode structures, leveraging the unique features of organic electrocatalysts like controllability and compatibility for real-world applications. Organic electrocatalysts are classified into four groups: small molecules, oligomers, polymers, and frameworks, with specific structural and physicochemical properties serving as activity indicators. To unlock the full potential of organic electrocatalysts, five strategies are discussed: integrated structures, surface property modulation, membrane technologies, electrolyte affinity regulation, and addition of anticorrosion species, all aimed at enhancing charge efficiency, mass transfer, and long-term stability during electrocatalytic reactions. The review offers a comprehensive overview of the current state of organic electrocatalysts and their practical applications, bridging the understanding gap and paving the way for future developments of more efficient green energy conversion technologies.

Constructed wetland as a green remediation technology for the treatment of wastewater from underground coal gasification process.

The wastewater from underground coal gasification (UCG) process has extremely complex composition and high concentrations of toxic and refractory compounds including phenolics, aliphatic and aromatic hydrocarbons, ammonia, cyanides, hazardous metals and metalloids. So, the development of biological processes for treating UCG wastewater poses a serious challenge in the sustainable coal industry. The aim of the study was to develop an innovative and efficient wetland construction technology suitable for a treatment of UCG wastewater using available and low-cost media. During the bioremediation process the toxicity of the raw wastewater decreased significantly between 74%-99%. The toxicity units (TU) ranged from values corresponding to very high acute toxic for raw wastewater to non-toxic for effluents from wetland columns after 60 days of the experiment. The toxicity results correlated with the decrease of some organic and inorganic compounds such as phenols, aromatic hydrocarbons, cyanides, metals and ammonia observed during the bioremediation process. The removal percentage of organic compounds like BTEX, PAHs and phenol was around 99% just after 14 days of treatment. A similar removal rate was indicated for cyanide and metals (Zn, Cr, Cd and Pb). Concluded, in order to effectively assess remediation technologies, it is desirable to consider combination of physicochemical parameters with ecotoxicity measurements. The present findings show that wetland remediation technology can be used to clean-up the heavily contaminated waters from the UCG process. Wetland technology as a nature-based solution has the potential to turn coal gasification wastewater into usable recycled water. It is economically and environmentally alternative treatment method.

Efficient production of isomaltulose using engineered Yarrowia lipolytica strain facilitated by non-yeast signal peptide-mediated cell surface display.

Isomaltulose is a 'generally recognized as safe' ingredient and is widely used in the food, pharmaceutical and chemical industries. The exploration and development of efficient technologies is essential for enhancing isomaltulose yield. In the present study, a simple and efficient surface display platform mediated by a non-yeast signal peptide was developed in Yarrowia lipolytica and utilized to efficiently produce isomaltulose from sucrose. We discovered that the signal peptide SP1 of sucrose isomerase from Pantoea dispersa UQ68J (PdSI) could guide SIs anchoring to the cell surface of Y. lipolytica, demonstrating a novel and simple cell surface display strategy. Furthermore, the PdSI expression level was significantly increased through optimizing the promoters and multi-site integrating genes into chromosome. The final strain gained 451.7 g L-1 isomaltulose with a conversion rate of 90.3% and a space-time yield of 50.2 g L-1 h-1. The present study provides an efficient way for manufacturing isomaltulose with a high space-time yield. This heterogenous signal peptide-mediated cell surface display strategy featured with small fusion tag (approximately 2.2 kDa of SP1), absence of enzyme leakage in fermentation broth and ample room for optimization, providing a convenient way to construct whole-cell biocatalysts to synthesize other products and broadening the array of molecular toolboxes accessible for engineering Y. lipolytica. © 2024 Society of Chemical Industry.

A New Smart Grid Hybrid DC–DC Converter with Improved Voltage Gain and Synchronized Multiple Outputs

This paper introduces a new hybrid DC–DC converter with enhanced voltage gain and synchronized multiple output capabilities, specifically tailored for smart grid applications. The proposed converter is based on the integration of non-isolated Zeta and Mahafzah converters, comprising a single controlled switch, two diodes, three inductors, and two coupling capacitors. The primary objective of this novel hybrid converter is to improve voltage gain as compared to conventional Zeta and Mahafzah topologies. By achieving higher voltage gain at lower duty cycles, the converter effectively reduces voltage stress on semiconductor switches and output diodes, thereby enhancing overall performance and reliability. A comprehensive examination of the hybrid converter’s operating principle is presented, along with detailed calculations of duty cycle and switching losses. The paper also explores the converter’s application in smart grids, specifically in the context of renewable energy systems and electric vehicles. Two distinct scenarios are analyzed to evaluate the converter’s efficacy. Firstly, the converter is assessed as a DC–DC converter for renewable energy systems, highlighting its relevance in sustainable energy applications. Secondly, the converter is evaluated as an electric vehicle adapter, showcasing its potential in the transportation sector. To validate the converter’s performance, extensive simulations are carried out using MATLAB/SIMULINK with parameters set at 25 kW, 200 V, and 130 A. The simulation results demonstrate the converter’s ability to efficiently supply multiple loads with opposing energy flows, making it a promising technology for optimized grid management and energy distribution. Moreover, the paper investigates the total harmonic distortion (THD) of the grid current, focusing on its impact in smart grid environments. Notably, the new hybrid converter topology achieves a THD of 21.11% for the grid current, indicating its ability to effectively mitigate harmonics and improve power quality. Overall, this research introduces a cutting-edge hybrid DC–DC converter that enhances voltage gain and synchronizes multiple outputs, specifically catering to the requirements of smart grid applications. The findings underscore the converter’s potential to significantly contribute to the advancement of efficient and resilient power conversion technologies for smart grids, enabling seamless integration of renewable energy systems and electric vehicles into the grid.