Opportunistic Spectrum Research Articles

Navigating digital transformation and business model innovation in the tourism sector: challenges opportunities, and leadership styles

Purpose Technological advancements are reshaping the tourism industry, necessitating the adaptation of business models through digital technology utilisation for intelligent, sustainable and inclusive tourism offerings. The diverse nature of tourism businesses, encompassing size, technology access, risk aversion, labour intensity, and more, presents a spectrum of challenges and opportunities for business model innovation (BMI) and digital transformation (DT) to maintain competitiveness. This study focuses on the core aspects of DT and BMI within the tourism sector, offering pivotal insights to aid tourism companies embarking on the intricate journey of DT and BMI in this evolving landscape. Design/methodology/approach The study conducts an extensive literature review to identify critical issues and pathways for tourism businesses pursuing DT and BMI. The review is focused on the challenges, opportunities, risks and imperatives that tourism organisations have to navigate in the current DT landscape to renew their business model. Findings The findings underscore the pressing need for tourism businesses to undergo a holistic DT. While digital technologies are reshaping the essence of tourism value chains, the transformation extends beyond technology adoption to encompass a profound renewal of organisational culture, competencies, structure, leadership and operational models. This paradigm shift is indispensable for crafting more innovative, sustainable and more inclusive tourism development. The paper also provides strategic recommendations and outlines future research directions to fortify the transformational journey of the tourism sector. Originality/value The paper provides key insights into supporting DT and BMI in tourism businesses, advancing a nuanced understanding of the multifaceted challenges and opportunities tourism organisations face in the digital age.

From tradition to technological advancement: embracing blockchain technology in family businesses

PurposeDespite the rapid advancement of blockchain technology across various sectors, scholarly research on its application within family businesses remains significantly underdeveloped. This study aims to address this gap by examining the application of blockchain technology within family businesses to identify key application domains, benefits and implementation challenges.Design/methodology/approachThe study employs a conceptual approach, drawing on existing literature on family businesses and blockchain technology. This review aimed to identify the unique characteristics of family businesses, their challenges and the distinctive features of blockchain technology that can potentially be mapped to each other. Based on the literature review, we develop a conceptual framework exploring blockchain technology applications in family businesses. Real-world case studies of family businesses that have implemented blockchain technology were identified to provide practical insights and implementation challenges.FindingsBlockchain technology possesses transformative potential for family businesses across several critical domains. It includes enhancing trust and transparency in operations, improving governance and decision-making and facilitating succession planning and intergenerational wealth management. Case study evidence illustrates the tangible benefits of blockchain, including enhanced supply chain transparency, optimized business processes, increased customer trust and resultant business sustainability. Blockchain technology implementation challenges include data privacy concerns, integration with legacy systems, regulatory uncertainty and change management issues.Research limitations/implicationsThis study is limited by its reliance on existing literature and case studies. It may not capture the full spectrum of challenges and opportunities associated with blockchain applications in family businesses. Future research should focus on longitudinal and empirical research to provide a deeper understanding of the impact of blockchain technology application in family businesses.Originality/valueThis study contributes to the literature by exploring the intersection of family businesses and blockchain technology, an area that has received limited academic attention. It identifies potential application domains of blockchain technology in family businesses and develops a conceptual framework based on existing literature. Through case studies, the research provides practical insights and valuable lessons for family businesses considering blockchain implementation. It also addresses key considerations and challenges, providing a clear roadmap for blockchain technology integration in family businesses. The study lays the groundwork for further research and exploration in blockchain technology and family businesses.

SDR implementation of wideband spectrum sensing using machine learning

SummaryNew cognitive radio (CR) systems require high throughput and bandwidth. Hence, CR users need to detect wide frequency bands of the radio spectrum to exploit unused frequency channels. This paper proposes a new wideband spectrum sensing (WBSS) detection approach based on machine learning (ML) for scanning subchannels. The originality of the proposed approach is to detect spectrum opportunities using a narrowband spectrum sensing (NBSS) method‐based support vector machine (SVM) classification and two features: energy and goodness of fit (GoF). The simulation results show that the proposed WBSS approach‐based ML presents a higher probability of detection than the WBSS approach‐based conventional detectors, even at low signal‐to‐noise ratio (SNR). Finally, the software defined radio (SDR) implementation validates the proposed WBSS approach for real detection scenarios.

Key factors for sustainable working conditions in emergency departments: an EUSEM-initiated, Europe-wide consensus survey.

Modern emergency medicine (EM) is a complex, demanding, and occasionally stressful field of work. Working conditions, provider well-being, and associated health and performance outcomes are key factors influencing the establishment of a sustainable emergency department (ED) working environment. This multinational European Delphi survey aimed to identify unequivocal major factors for good and poor ED working conditions and their possible effects on health care provider well-being. A total of 18 experts from six European countries (Belgium, Finland, Germany, Italy, Romania, and the UK) covering three different hospital sizes (small, medium, and large) in their respective countries participated in the two-round Delphi survey. All panelists held leadership roles in EM. The first step involved conducting an extensive literature search on ED working conditions. The second step involved the first Delphi round, which consisted of structured interviews with the panelists. The survey was designed to obtain information concerning important working conditions, comments regarding work-life factors identified from the literature, and ratings of their importance. Interviews were transcribed and analyzed following a standardized protocol. In the second Delphi round, experts rated the relevance of items consolidated from the first Delphi round (classified into ED work system factors, provider health outcomes, and ED work-life intervention approaches). A nearly unequivocal consensus was obtained in four ED work condition categories, including positive (e.g. job challenges, personal motivation, and case complexities) and negative (e.g. overcrowding, workflow interruptions/multitasking, medical errors) ED work conditions. The highly relevant adverse personal health events identified included physical fatigue, exhaustion, and burnout. Concerning intervention practices, the panelists offered a wide spectrum of opportunities with less consensus. Work system conditions exert positive and negative effects on the work life of ED providers across Europe. Although most European countries have varying health care systems, the expert-based survey results presented herein strongly suggest that improvement strategies should focus on system-related external stressors common in various countries. Our findings lay the scientific groundwork for future intervention studies at the local and systemic levels to improve ED provider work life.

INVESTMENT ENVIRONMENT OF THE NETHERLANDS

The paper offers a comprehensive review of the investment environment in the Netherlands, a nation noted for its advanced economy, robust international trade links, and a solid legal framework that supports business activity. The Netherlands features a stable political environment, transparent governance, and administrative efficiency, creating a reliable backdrop for investment. This climate is conducive to innovation and attracts foreign direct investment, especially due to an advantageous tax system. The workforce in the Netherlands is highly skilled and multilingual, which is a critical asset, though the high labor costs could be seen as a deterrent. However, these costs are often offset by the high productivity and the business-friendly policies of the government. The Dutch market is well-connected and integral to the European trade landscape, making it a strategic entry point into the European Union. Transport and logistics infrastructure, particularly the Port of Rotterdam—the largest port in Europe—plays a crucial role in facilitating trade not only across Europe but globally. This infrastructure is supported by a top-tier digital network and service sector, with the Netherlands boasting one of the highest broadband penetration rates in Europe. Despite its many advantages, the investment climate in the Netherlands does face challenges such as regulatory complexity and stringent environmental regulations. These challenges are balanced by the country’s commitment to sustainability and the green economy, which opens up new investment opportunities in renewable energy and sustainable technologies. Furthermore, the Netherlands is proactive in fostering a favorable business environment through various government initiatives. These include incentives for research and development, enhancements in sustainable business practices, and subsidies for green energy projects, all aimed at maintaining the country’s competitive edge. The Dutch government’s approach to international business is also characterized by a network of treaties designed to protect foreign investments and prevent double taxation, making the Netherlands an attractive destination for multinational corporations. The presence of a strong legal system ensures that property rights and contracts are well protected, which is a critical consideration for investors. In conclusion, the Netherlands presents a balanced spectrum of opportunities and challenges. While the high cost of operations and regulatory demands pose hurdles, the strategic advantages, robust infrastructure, and government incentives create a favorable environment for significant investment returns. This detailed analysis serves as an essential guide for potential investors, providing insights into both the macroeconomic stability and sector-specific prospects within the Dutch market.

Childhood Opportunity and Acute Interstage Outcomes: A National Pediatric Cardiology Quality Improvement Collaborative Analysis.

The interstage period after discharge from stage 1 palliation carries high morbidity and mortality. The impact of social determinants of health on interstage outcomes is not well characterized. We assessed the relationship between childhood opportunity and acute interstage outcomes. Infants discharged home after stage 1 palliation in the National Pediatric Quality Improvement Collaborative Phase II registry (2016-2022) were retrospectively reviewed. Zip code-level Childhood Opportunity Index (COI), a composite metric of 29 indicators across education, health and environment, and socioeconomic domains, was used to classify patients into 5 COI levels. Acute interstage outcomes included death or transplant listing, unplanned readmission, intensive care unit admission, unplanned catheterization, and reoperation. The association between COI level and acute interstage outcomes was assessed using logistic regression with sequential adjustment for potential confounders. The analysis cohort included 1837 patients from 69 centers. Birth weight (P<0.001) and proximity to a surgical center at birth (P=0.02) increased with COI level. Stage 1 length of stay decreased (P=0.001), and exclusive oral feeding rate at discharge increased (P<0.001), with higher COI level. More than 98% of patients in all COI levels were enrolled in home monitoring. Death or transplant listing occurred in 101 (5%) patients with unplanned readmission in 987 (53%), intensive care unit admission in 448 (24%), catheterization in 345 (19%), and reoperation in 83 (5%). There was no difference in the incidence or time to occurrence of any acute interstage outcome among COI levels in unadjusted or adjusted analysis. There was no interaction between race and ethnicity and childhood opportunity in acute interstage outcomes. Zip code COI level is associated with differences in preoperative risk factors and stage 1 palliation hospitalization characteristics. Acute interstage outcomes, although common across the spectrum of childhood opportunity, are not associated with COI level in an era of highly prevalent home monitoring programs. The role of home monitoring in mitigating disparities during the interstage period merits further investigation.

Ensuring Mental Well-being in the Digital World: Challenges and Approaches

In recent years, the integration of digital technology into mental health care has become increasingly prevalent. However, digitalization serves as a dual-force catalyst in the domain of psychological sciences, presenting a spectrum of unparalleled opportunities and significant challenges. The technological growth required for providing mental health interventions transcending geographical and temporal constraints also contributes massively to the emergence of psychological phenomena that can detrimentally impact mental health. This overview explores the intricate relationship shared between digitalization and mental health, investigating the challenges posed by the digital landscape on psychological well-being while highlighting the potential of digital platforms to address mental health concerns and enhance overall well-being

Malicious Node Detection Using Machine Learning and Distributed Data Storage Using Blockchain in WSNs

Abstract: Wireless Sensor Networks (WSNs) present unique opportunities for a broad spectrum of applications such as industrial automation, situation awareness, tactical surveillance for military applications, environmental monitoring, chemical or biological detection etc., Wireless Sensor Networks (WSNs) consist of hundreds of tiny nodes having the capability of sensing, computation and wireless communications. Deployed in a hostile environment, individual nodes of a wireless sensor network (WSN) could be easily compromised by the adversary due to the constraints such as limited battery lifetime, memory space and computing capability. It is critical to detect and isolate the compromised nodes in order to avoid being misled by the falsified information injected by the adversary through compromised nodes. However, it is challenging to secure the flat topology networks efficiently because of the poor scalability and high communication overhead. Since security and performance issues are a big concern in the case of wireless sensor networks, emphasis has been given to the scheme based on Weighted-Trust Evaluation (WTE). Extensive simulation is performed using MATLAB, to verify performance and efficiency of WTE by varying various parameters

Sequential fusion‐based defense strategy against sophisticated Byzantine attacks in cognitive IoT networks

Sequential fusion‐based defense strategy against sophisticated Byzantine attacks in cognitive <scp>IoT</scp> networks

Nano cells from fruit bunch residue: Nestling nanotechnology within the circular oil palm milling residue management

Nano-structured materials gain a vast market acceptance mainly due to their overarching endurance. Nanofibrillar cellulose (NFC) is one example of an augmenting agent unviable for production by small and medium enterprises (SMEs) due to the underlying process complexity. This study aims to characterise the NFC-alternative cells denoted as TRX-cellsⓇ, which is a mix of cellulose and non-cellulose components, ruling out its status as ‘cellulose nanofibers, CNF’. The aim to test-fit the TRX-cells® production process into the circularity model was executed by deliberating on the usability of the byproduct. In doing so, fibrous oil palm empty fruit bunch (EFB) was treated with dioxydanyl radicals (DIOR) and homogenised. The rapid EFB-DIOR reaction at 70°C targeting dearomatisation reaction in a 10%-solid open system was performed before refining the DIOR-treated EFB to micro-scale fibres. Subjecting the micro-fibres to 17 kWh/mt PFI-milling yielded 85–95% of nano-scale fibrous mass. Relative to the stiff micro-fibres, the nano-scale cells web exhibit 34–41% softness enhancement judged from the web tear resistance profile associated with inter-fibre space reduction. Advanced chromatographic evidence for 27% xylan amongst TRX-cells®’ total aldo-sugars was one form of the non-cellulose nano-component. High-resolution Transmission Electron Microscopy hyphenated to Energy Dispersive Analysis of X-ray (HRTEM-EDX) elemental mapping showed a 0.4 atomic percentage of nano-biominerals, confirming the presence of the redistributed dearomatised cells adjacent to cellulose held in the web of the hemicellulose. Shearing at the dearomatised inter-cell wall layers by PFI mill peeled 5 nm–100 nm thickness laminae. The smorgasbord of cellulose and non-celluloses resulted in crystallinity comparable to softwood NFC of approximately 60%, with unique preservation and precision-printing enabling properties. Given the non-recyclability of the DIOR-treated EFB microfibres, nestling the rapid waste transformation process into the circularity model shed light on circular bio-nanotechnology to the spectrum of opportunity for zero-waste, reduced emission and net zero carbon practices on top of an added value from waste transformation to a product.

Artificial intelligence in clinical nutrition and dietetics: A brief overview of current evidence.

The rapid surge in artificial intelligence (AI) has dominated technological innovation in today's society. As experts begin to understand the potential, a spectrum of opportunities could yield a remarkable revolution. The upsurge in healthcare could transform clinical interventions and outcomes, but it risks dehumanization and increased unethical practices. The field of clinical nutrition and dietetics is no exception. This article finds a multitude of developments underway, which include the use of AI for malnutrition screening; predicting clinical outcomes, such as disease onset, and clinical risks, such as drug interactions; aiding interventions, such as estimating nutrient intake; applying precision nutrition, such as measuring postprandial glycemic response; and supporting workflow through chatbots trained on natural language models. Although the opportunity and scalability of AI is incalculably attractive, especially in the face of poor healthcare resources, the threat cannot be ignored. The risk of malpractice and lack of accountability are some of the main concerns. As such, the healthcare professional's responsibility remains paramount. The data used to train AI models could be biased, which could risk the quality of care to vulnerable or minority patient groups. Standardized AI-development protocols, benchmarked to care recommendations, with rigorous large-scale validation are required to maximize application among different settings. AI could overturn the healthcare landscape, and this article skims the surface of its potential in clinical nutrition and dietetics.

Unmanned aerial vehicle-assisted wideband cognitive radio network based on DDQN-SAC

Cognitive radio (CR) systems have emerged as effective tools for improving spectrum efficiency and meeting the growing demands of communication. This study focuses on a flexible CR system based on opportunistic spectrum access technology, which enables secondary networks to efficiently utilize unoccupied spectrum resources for information transmission by actively sensing the spectrum utilization of primary networks. Specifically, we introduce unmanned aerial vehicles (UAV) technology into the CR system to further enhance its flexibility and adaptability, which enables the transmission efficiency of low-altitude UAV networks. In this CR system, UAVs are employed for more flexible spectrum management. The objective of this research is to maximize the average achievable rate of SUs by jointly optimizing the trajectories of secondary UAV, the trajectories of primary UAV, the beamforming of secondary UAV, subchannel allocation and sensing time. To achieve this goal, we employ deep reinforcement learning (DRL) algorithms to optimize these variables. Compared to traditional optimization algorithms, DRL algorithms not only have lower computational complexity but also achieve faster convergence. To address the mixed-action space problem, we propose a Dueling DQN-Soft Actor Critic algorithm. Simulation results demonstrate that the proposed approach in this paper significantly enhances the performance of the CR system compared to traditional baseline schemes. This is manifested in higher spectrum efficiency and data transmission rates, while minimizing interference with the primary network. This innovative research combines drone technology and DRL algorithms, bringing new opportunities and challenges to the future development of cognitive communication systems.

Spectral–Temporal Model for Opportunistic Spectrum Access in Cognitive Radio Networks

Spectral–Temporal Model for Opportunistic Spectrum Access in Cognitive Radio Networks

Exploring the Impact of AI in Language Education: Vietnamese EFL Teachers’ Views on Using ChatGPT for Fairy Tale Retelling Tasks

This study investigated the perceptions of Vietnamese tertiary-level English as a Foreign Language (EFL) teachers regarding the use of ChatGPT, an advanced artificial intelligence (AI) language model, in students’ fairy tale retelling writing tasks. Employing a qualitative methodology, the research involved semi-structured interviews with nine EFL teachers from two Vietnamese institutions representing a range of teaching experiences: novice, mid-career, and near-end-career. The technology acceptance model (TAM) and constructivist learning theory (CLT) framed the study, providing a dual perspective on technology integration in language education. The thematic analysis revealed a spectrum of challenges and opportunities in integrating ChatGPT into language teaching. Key challenges include concerns about over-reliance on AI, cultural and contextual misalignments, integration with existing teaching methods, language accuracy issues, impact on creativity, technical barriers, and ethical considerations. Conversely, opportunities identified encompass enhanced student engagement, personalized learning, professional development for teachers, improvement in language proficiency, reduction in teacher workload, encouragement of technological adoption, and fostering of critical thinking and creativity. The study suggests a need for balanced AI integration in language education, emphasizing personalized, interactive learning experiences and professional development for teachers.

PROCESS DEVELOPMENT IN MECHANICAL ENGINEERING: INNOVATIONS, CHALLENGES, AND OPPORTUNITIES

Process development in mechanical engineering encompasses a broad spectrum of innovations, challenges, and opportunities that drive advancements in various industries. This review delves into the multifaceted landscape of process development within mechanical engineering, highlighting key themes and trends. Innovations in process development are propelled by the continuous quest for efficiency, sustainability, and enhanced performance. Advances in additive manufacturing, automation, and digitalization have revolutionized traditional manufacturing processes, enabling the creation of complex geometries with unprecedented precision and speed. Additive manufacturing techniques such as 3D printing offer versatility in material selection and design freedom, facilitating rapid prototyping and customization while minimizing material wastage. Automation technologies, including robotics and AI-driven systems, optimize production workflows, augmenting productivity and reducing human error. Moreover, digital twins and simulation tools empower engineers to simulate and optimize processes virtually, accelerating product development cycles and minimizing costly experimentation. However, alongside these innovations, mechanical engineers face a myriad of challenges. The integration of new technologies often requires substantial investment in infrastructure and workforce training. Quality control and assurance remain critical concerns, particularly in additive manufacturing, where ensuring part integrity and repeatability is paramount. Furthermore, the sustainability implications of emerging processes must be carefully evaluated to mitigate environmental impact and resource depletion. Despite these challenges, process development in mechanical engineering presents abundant opportunities for growth and advancement. The rise of Industry 4.0 initiatives fosters collaboration between academia, industry, and government, driving research and development efforts towards sustainable and interconnected manufacturing ecosystems. The advent of advanced materials, including composites and biomaterials, unlocks new possibilities for lightweight structures, enhanced performance, and tailored functionalities. Additionally, the pursuit of circular economy principles promotes resource efficiency and waste reduction throughout the product lifecycle. In conclusion, process development in mechanical engineering is characterized by a dynamic interplay of innovation, challenges, and opportunities. By embracing emerging technologies, addressing key challenges, and leveraging collaborative partnerships, mechanical engineers can drive transformative change across industries, paving the way for a more efficient, sustainable, and interconnected future.&#x0D; Keywords: Process, Development, Mechanical, Engineering, Innovation, Review.

Attractiveness of Albania for Foreign Firms: An Analysis of Opportunities and Challenges

This paper examines Albania’s evolving landscape as a burgeoning destination for foreign direct investment (FDI), underscored by its strategic geographical location, economic reforms, and sectoral growth opportunities. Using a literature review methodology, we focus into an analysis of peer-reviewed articles, government reports, and international indices to construct a nuanced understanding of Albania’s economic environment, the palpable sectoral opportunities for investment, and the persistent challenges that foreign firms may encounter. This analysis reveals that Albania presents a compelling case for foreign investment, particularly in sectors like tourism, energy, agriculture, and manufacturing. Conversely, the investigation highlights significant challenges that could impede foreign investment, such as bureaucratic inefficiencies, corruption, infrastructural deficits, and legal and regulatory uncertainties. This study contributes to the broader discourse on FDI in emerging markets, offering insights into Albania’s unique position within the Western Balkans region and providing a framework for policymakers and investors to harness the full spectrum of opportunities while addressing the challenges to ensure mutual long-term benefits.&#x0D; &#x0D; Received: 19 February 2024 / Accepted: 15 March 2024 / Published: 23 March 2024

Importance of Hospitality Industry on Indian Economy

The Hotel industry in India has evolved remarkably over the decade and in effect parading quite a wide spectrum of benefits and opportunities for players of the service industry. The industry is statistically proven to have performed creditably countrywide and among its major cities. It is considered to a larger extent that the hotel industry flourishes on the wings of the tourism Industry. The Hotel and Tourism sector is considered among the top ten sectors in India. As a results of its contribution, the Hotel and Tourism sector attracted around US$ 9.2 billion of FDI between April 2000 and March 2016 as released by the Department of Industrial Policy and Promotion (DIPP). The demand for travel and tourism in India is expected to grow annually by 8.2% which is expected to put India third in the world. Travel and tourism in India also accounted for 49,086,000 jobs in 2010 (about 10% of total employment) and is expected to rise to 58,141,000 jobs (10.4% of total employment) by 2020. According to the Economic Survey of India the Indian Hotel industry accounts for USD 17 billion, 70% (USD 11.85 billion) which take their origin from the unorganized sector and the remaining 30% (USD 5.08 billion) from the organized sector. In 2000, India hosted only 2.6 million international visitors. By 2009, the figure had already increased to 5.13 million arrivals. Over the years, a sustained increase in the tourism industry with increase in number of foreign and domestic tourists has serve as a booster to the Hotel industry. This study makes an exploratory attempt to study the Hotel industry as it relates to India and analyses its contributory effects on the economy on the heels of the various reforms that have hit the country. The objectives of the study are to analyze and assess the performance of the Hotel Industry in India and to identify the challenges and setbacks of the industry. Data was collected primarily from secondary sources. The findings of the study revealed that there have been a substantial growth in operating performance indicators such as revenue and a decreased countrywide departmental expenses. It was therefore concluded that India's hotel sector has unequivocally entered the next up-cycle with impressive performance suggesting that players of the industry have the onerous responsibility and duty to capitalize on this and make the best out of the industry

"What will you do after?": Lessons from Academia and the World Beyond.

Determining post-PhD career options is a challenge for many Psychology PhD graduates. Here I provide a comprehensive overview of the diverse career trajectories available to graduates, drawing from interviews with 53 PhD graduates conducted as part of the two-volume Academia and the World Beyond book series. From these, I conducted a hierarchical qualitative classification to categorise and characterise potential career paths. The findings reveal a spectrum of opportunities, from traditional academic roles to "academic adjacent" and "skill-transfer" careers. This work underscores the versatility of Psychology doctoral training, providing skills that can support a wide array of career possibilities. The results serve as a guide for current and prospective PhD students-and their mentors-emphasising the variety of professional contexts where doctoral training is beneficial.

Dynamic update scheme of spectrum information based on spectrum opportunity incentive in the database-assisted dynamic spectrum management

Dynamic update scheme of spectrum information based on spectrum opportunity incentive in the database-assisted dynamic spectrum management

Protein lipidation in cancer: mechanisms, dysregulation and emerging drug targets.

Protein lipidation describes a diverse class of post-translational modifications (PTMs) that is regulated by over 40 enzymes, targeting more than 1,000 substrates at over 3,000 sites. Lipidated proteins include more than 150 oncoproteins, including mediators of cancer initiation, progression and immunity, receptor kinases, transcription factors, G protein-coupled receptors and extracellular signalling proteins. Lipidation regulates the physical interactions of its protein substrates with cell membranes, regulating protein signalling and trafficking, and has a key role in metabolism and immunity. Targeting protein lipidation, therefore, offers a unique approach to modulate otherwise undruggable oncoproteins; however, the full spectrum of opportunities to target the dysregulation of these PTMs in cancer remains to be explored. This is attributable in part to the technological challenges of identifying the targets and the roles of protein lipidation. The early stage of drug discovery for many enzymes in the pathway contrasts with efforts for drugging similarly common PTMs such as phosphorylation and acetylation, which are routinely studied and targeted in relevant cancer contexts. Here, we review recent advances in identifying targetable protein lipidation pathways in cancer, the current state-of-the-art in drug discovery, and the status of ongoing clinical trials, which have the potential to deliver novel oncology therapeutics targeting protein lipidation.