Localized Impact Research Articles

A vision-enabled fatigue-sensitive human digital twin towards human-centric human-robot collaboration

Within a Human-centric Human-Robot Collaboration (HHRC) system, monitoring, assessing, and optimizing for an operator’s well-being is essential to creating an efficient and comfortable working environment. Currently, monitoring systems are used for independent assessment of human factors. However, the rise of the Human Digital Twin (HDT) has provided the framework for synchronizing multiple operator well-being assessments to create a comprehensive understanding of the operator’s performance and health. Within manufacturing, an operator’s dynamic well-being can be attributed to their physical and cognitive fatigue across the assembly process. As such, we apply non-invasive video understanding techniques to extract relevant assembly process information for automatic physical fatigue assessment. Our novelty involves a video-based fatigue estimation method, in which the boundary-aware dual-stream MS-TCN combined with an LSTM is proposed to detect the operation type, operation repetitions, and the target arm performing each task in an assembly process video. The detected results are then input into our physical fatigue profile to automatically assess the operator’s localized physical fatigue impact. The assembly process of a real-world bookshelf is recorded and tested against, with our algorithm results showing superiority in operation segmentation and target arm detection as opposed to other recent action segmentation models. In addition, we integrate a cognitive fatigue assessment tool that captures operator physiological signals in real-time for body response detection caused by stress. This provides a more robust HDT of the operator for an HHRC system.

Assessing the influence of climate change on multiple climate indices in Nepal using CMIP6 global climate models

Global climate models (GCMs) serve as essential tools for projecting future climate trends, but their coarse resolution limits localized impact assessments in sectors like hydrology, agriculture, and biodiversity. Observation data with a spatial resolution of a few kilometers are crucial for downscaling and bias-correcting GCMs at finer resolutions. However, Nepal's extreme topography and organizational challenges have led to uneven distribution of meteorological stations and inconsistent data quality. Moreover, CMIP6-based climate extremes projections for the entire country are currently unavailable. To tackle these challenges, we developed a comprehensive national database for Nepal, offering high-resolution historical and projected precipitation and temperature data analyzed through 25 climate extreme indices from the Expert Team on Climate Change Detection and Indices (ETCCDI). Initially, observation grid data were prepared at a daily timescale with a spatial resolution of 0.05° × 0.05° for baseline period (1981–2010) using the Asian Precipitation High-Resolved Observational Data Integration Toward Evaluation (APHRODITE), the fifth generation of the European Centre for Medium-Range Weather Forecasts Reanalysis (ERA5), and available good quality observed climate data. This data was then utilized to downscale and bias-correct 18 CMIP6 GCMs for 2015–2100 under four SSPs (1–2.6, 2–4.5, 3–7.0, 5–8.5). Quantile mapping was employed for the bias correction of the CMIP6 GCMs. The performance of the multimodal ensemble (MME) indicated better Nash-Sutcliffe Efficiency (NSE), root mean square error ratio (RSR), and Percent Bias (PBIAS) of climate extreme indices for the historical period. A comparative analysis was conducted across Nepal's major geographic regions to account for spatial variability in regional climate systems. The finer-resolution dataset can be crucial to deepen our understanding of climate impacts, and climate change, and eventually informing the policy-making in Nepal. Moreover, the methodology can be effectively replicated in data-scarce developing nations to promote climate research and adaptation efforts.

Comparative Life Cycle Assessment and Carbon Footprint of Typical Hydrogen Energy Products

To compare the environmental impact and carbon footprint of gray hydrogen, blue hydrogen, and green hydrogen, inventories were obtained through literature research. Some inventories that were not available in China were obtained through foreign inventories combined with localized power conversion. The localized end-point destructive life cycle impact assessment method was used to calculate the environmental impact potential of the raw material acquisition, transportation, and hydrogen production stages of five hydrogen products. The carbon footprint was calculated, and the sensitivity analysis and uncertainty analysis were carried out and compared with the ReCiPe method. The results showed that： ① The environmental impact from large to small was： gray hydrogen （coal） （1 203 mPt·kg-1） > blue hydrogen （coal） （876 mPt·kg-1） > gray hydrogen （gas） （492 mPt·kg-1） > green hydrogen （323 mPt·kg-1） > blue hydrogen （gas） （252 mPt·kg-1）. The environmental impacts of gray hydrogen and blue hydrogen were mainly concentrated in climate change, fine particulate matter formation, and fossil fuels. The environmental impacts of green hydrogen were mainly concentrated in climate change, fine particulate matter formation, fossil fuels, and mineral resources. ② The carbon footprint from large to small was： gray hydrogen （coal） （23.79 kg·kg-1, measured by CO2eq, the same below） > blue hydrogen （coal） （11.07 kg·kg-1） > gray hydrogen （gas） （10.97 kg·kg-1） > blue hydrogen （gas） （3.47 kg·kg-1） > green hydrogen （1.97 kg·kg-1）. Direct carbon emissions in the production process of gray hydrogen and blue hydrogen accounted for the largest proportion, whereas that of green hydrogen accounted for a large proportion of power input. ③ Measures to reduce environmental impact and carbon emissions include reducing direct emissions of pollutants and greenhouse gases, reducing power consumption, and strengthening raw material substitution and reduction.

Place-Based Perspectives on Understanding the Value of Sustainable Heritage-Inspired Arts and Crafts in Jordan

This article highlights the challenges of rigorously evaluating and meaningfully communicating the socio-economic impacts of arts and crafts in northern Jordan. This article aims to identify and analyse the challenges confronting place-based arts and crafts industries in Jordan and propose valid policies and practices to address these challenges. The methodology employed involved a comprehensive review of the existing literature to elucidate the challenges faced by heritage-based artisans, and we propose several policies aimed at promoting and safeguarding the arts and crafts heritage. The findings supporting this research were derived from a series of practical workshops and focus group interviews conducted in 2022. This article also presents empirical evidence to highlight the identified challenges. It emphasises the importance of the proposed policy recommendations for the Jordanian sector, providing the audience with a sense of empowerment and an understanding of the potential solutions. This work could offer insights into how local communities innovatively leverage creative capacities, create localised impact, and address local challenges. We argue that the value of arts and crafts is better understood locally to provide impactful experiences based on community-led and community-generated creativity and flexibility. A creative participatory approach is used to create contemporary art designs and train young people on artistic and craft-making skills, application, and production as a credible precedent and best practice for developing creative cultural “enterprises” in Jordan.

Amyloid, Tau, and APOE in Alzheimer's Disease: Impact on White Matter Tracts.

Alzheimer's disease (AD) is characterized by cognitive decline and memory loss due to the abnormal accumulation of amyloid-beta (Aβ) plaques and tau tangles in the brain; its onset and progression also depend on genetic factors such as the apolipoprotein E (APOE) genotype. Understanding how these factors affect the brain's neural pathways is important for early diagnostics and interventions. Tractometry is an advanced technique for 3D quantitative assessment of white matter tracts, localizing microstructural abnormalities in diseased populations in vivo. In this work, we applied BUAN (Bundle Analytics) tractometry to 3D diffusion MRI data from 730 participants in ADNI3 (phase 3 of the Alzheimer's Disease Neuroimaging Initiative; age range: 55-95 years, 349M/381F, 214 with mild cognitive impairment, 69 with AD, and 447 cognitively healthy controls). Using along-tract statistical analysis, we assessed the localized impact of amyloid, tau, and APOE genetic variants on the brain's neural pathways. BUAN quantifies microstructural properties of white matter tracts, supporting along-tract statistical analyses that identify factors associated with brain microstructure. We visualize the 3D profile of white matter tract associations with tau and amyloid burden in Alzheimer's disease; strong associations near the cortex may support models of disease propagation along neural pathways. Relative to the neutral genotype, APOE ϵ3/ϵ3, carriers of the AD-risk conferring APOE ϵ4 genotype show microstructural abnormalities, while carriers of the protective ϵ2 genotype also show subtle differences. Of all the microstructural metrics, mean diffusivity (MD) generally shows the strongest associations with AD pathology, followed by axial diffusivity (AxD) and radial diffusivity (RD), while fractional anisotropy (FA) is typically the least sensitive metric. Along-tract microstructural metrics are sensitive to tau and amyloid accumulation, showing the potential of diffusion MRI to track AD pathology and map its impact on neural pathways.

Spatial valuation of urban green lungs: Unveiling the true worth of urban parks through MGWR in Chengdu, China

Urban green spaces (UGS), often metaphorically referred to as the “green lungs of cities,” play a crucial role in sustainable urban development and are a key element of land-use policy. This study evaluates the economic value conferred by UGS through urban parks, employing a Multi-scale Geographically Weighted Regression (MGWR) model within a hedonic pricing framework. By focusing on the localized impact of UGS on housing markets in developing megacities, this research utilizes Chengdu, China, as a case study to reveal spatial patterns in property valuations. The findings demonstrate a significant localized impact of UGS on housing prices, characterized by pronounced spatial heterogeneity. A substantial premium on housing values is correlated with proximity to urban parks, reflecting a high market valuation of these green spaces. This premium varies spatially, diminishing in more peripheral urban zones but still significantly influencing overall housing market dynamics. The study highlights the importance of reassessing rapid, policy-driven park expansions. There is a need for value-based UGS integration in sustainable urban planning, emphasizing strategic, ecologically informed decision-making that balances land development with conservation and meaningful resident engagement.

Unpacking the discourse surrounding the impact agenda in the Hong Kong Research Assessment Exercise 2020

Abstract Research with economic utility and social value has been increasingly valued. Such an emphasis can be evidenced by the newly included assessment element of ‘societal impact’ in performance-based research funding (PBRF) schemes in different higher education systems around the world. This paper investigates how the non-academic impact is constructed and perceived in the Hong Kong Research Assessment Exercise (RAE) 2020, taking into account the local socio-cultural characteristics in the context of Hong Kong. Data sources include 13 impact case studies in the education panel submitted for the Hong Kong RAE 2020 and semi-structured interview with 17 education academics in Hong Kong. Findings revealed that the non-academic impact was constructed through a narrative pattern: (1) problem identification: tensions and synergies between local and international discourse; (2) problem resolution: prioritization of the evidence-based applied education research (with funding); (3) resolution dissemination: strategic employment of promotional genre. The paper discusses how decolonization, academic entrepreneurialism and collectivist culture have characterized the framing and understanding of the non-academic impact in the Hong Kong academia, contributing to the discourse on neoliberalism in higher education by providing a nuanced, local perspective on the impact agenda. Policy implications for a more localized and flexible impact agenda are also provided.

Prioritising urban heat island mitigation interventions: Mapping a heat risk index

The global climate is under threat from increasing extreme heat, evidenced by rising temperatures and a surge in hot days. Heat waves are intensifying worldwide, impacting cities and residents, as demonstrated by the record-breaking heat experienced in the UK in 2022, which resulted in over 4500 deaths. Urban heat islands (UHIs) exacerbate these heat waves, making city residents more vulnerable to heat-related deaths. UHIs occur when temperatures in urban areas exceed those in surrounding rural areas due to the heat-absorbing properties of urban structures. Implementing mitigation strategies, such as green infrastructure, is crucial for enhancing urban resilience and reducing vulnerability to UHIs.Effectively addressing UHIs requires a systematic approach, including developing risk maps to prioritise areas for UHI mitigation strategies. Using remote sensing, GIS, and SPSS correlational analysis, the research aims to develop and assess a Heat Risk Index (HRI). This index integrates UHI spatial intensity, current green cover, and population density at the district level to develop the risk index. This study stands out for its novel approach to developing the HRI, focusing on the localised impact of the UHI in Manchester City, identifying high-risk heat-vulnerable districts, and prioritising implementing effective UHI mitigation strategies.The findings highlight the importance of this approach, revealing that approximately 30 % of Manchester City is affected by UHI effects, with areas near the city centre, characterised by higher population density and reduced green cover, being particularly vulnerable. Furthermore, the study suggests that applying HRIs at a more localised level, such as the neighbourhood level rather than the district level, would provide more relevant and targeted insights for mitigating UHI. A more localised index would offer tailored insights into the unique conditions of each neighbourhood within the districts, enabling more effective mitigation strategies. The HRI developed in this paper serves as a test for a more nuanced and comprehensive index, considering additional variables related to population vulnerability and city urban structure.

Mechanochemical structural nanoengineering of heterooxide photocatalysts TiO<sub>2</sub>/ V<sub>2</sub>O<sub>5</sub> capable to accumulating photoinduced charges

The mechanochemical method yielding a composite photocatalyst TiO2/V2O5 of tubular morphology under localized mechanic impact on a mixture of dispersed oxides has been proposed. It has been shown that under contact loading amounting to 25–39 MPa, tubular TiO2 is growing due to bonding of hydrated oxide particles via polycondensation. In the case of a mixture of titania and vanadium oxides, the tubular structure growth is accompanied with dispersing V2O5 particles resulting in the release of free standing lamellae. The mechanochemical activation produces nanоheterojunctions TiO2/V2O5 able to ensure an effective separation of photo-induced charges and their accumulation in redox active V2O5. Employing mechanochemical activation for synthesis of a TiO2/V2O5 composite photocatalyst results in 2.5-fold enhancement of the oxidation activity induced by preliminary photocatalyst exposure.

A proof of concept model to calculate white and grey matter AIS injuries in pedestrian collisions

In the real world, the severity of traumatic injuries is measured using the Abbreviated Injury Scale (AIS) and is often estimated, in finite element human computer models, with the maximum principal strains (MPS) tensor. MPS can predict when a serious injury is reached, but cannot provide any AIS measures lower and higher from this. To overcome these limitations, a new organ trauma model (OTM2), capable of calculating the threat to life of any organ injured, is proposed. The OTM2 model uses a power method, namely peak virtual power, and defines brain white and grey matters trauma responses. It includes human age effect (volume and stiffness), localised impact contact stiffness and provides injury severity adjustments for haemorrhaging. The focus, in this case, is on real-world pedestrian brain injuries. OTM2 model was tested against three real-life pedestrian accidents and has proven to reasonably predict the post mortem (PM) outcome. Its AIS predictions are closer to the real-world injury severity than the standard maximum principal strain (MPS) methods currently used. This proof of concept suggests that OTM2 has the potential to improve forensic predictions as well as contribute to the improvement in vehicle safety design through the ability to measure injury severity. This study concludes that future advances in trauma computing would require the development of a brain model that could predict haemorrhaging.

Assessing resiliency in scale-free supply chain networks: a stress testing approach based on entropy measurements and value-at-risk analysis

Supply chain (SC) resiliency and risk management have garnered increasing attention recently. While several studies have explored the use of scale-free network models to design and optimise SC networks, there remains a lack of a generalised stress-testing method that can be applied to various types and sizes of SCs. To address this, we propose a novel approach to assess the resiliency of scale-free SC networks based on entropy measurements. By considering various sources of disruptions, including demand fluctuations, capacity constraints, and transportation disruptions, we create a stress test that measures the network's resiliency. Our method categorises the SC into plants, ports, and customers and analyses the impact of disruptions on individual nodes within similar categories. We utilise real-world SC logistics data and map it into a scale-free network representation. By calculating the global vulnerability of the entire SC network and the localised impact of node vulnerability, we gain insights into how disruptions propagate and affect interconnected nodes. We use value-at-risk (VaR) and conditional-VaR (CVaR) to identify high-risk nodes, highlighting nodes at risk of extreme performance fluctuations or failures. The analytical results have led to developing six propositions, which serve as references for practitioners and help generalise the findings.

Dynamic responses of cylindrical lithium-ion battery under localized impact loading

Engineering problems, such as fire and explosion caused by mechanical damage, have restricted the further development of lithium-ion batteries (LIBs). The paper aims to present an effective method for studying the impact responses of cylindrical LIBs under localized impact loadings. An impact model in which the cell is simplified to a beam is developed considering the interaction between bending and stretching. The membrane factor (fn ) of the beam with a circular cross-section is introduced, and then the motion control equations for the cell with large deformation are derived. The accuracy of the theoretical method is verified based on the results from the mass block impact experiment and finite element simulation. A method for cell failure detection is established based on the force-displacement-voltage response from the impact experiment. It is shown that higher impact velocities and smaller punch widths increase cell deformation. Moreover, a larger punch mass results in greater displacement when the impact energy remains unchanged, and the strengthening tendency increases with the punch width. The research will provide theoretical guidance for the safety assessment and dynamic optimization design of LIBs.

Right to Food Cities: the Role of Local Governments in the Fight against Hunger

Abstract The state-centric nature of international law has been recognized as a severe barrier to the realization of human rights since the outset and remains a concern today across the globe. However, the dominant space the state has historically occupied within the field as duty-bearer, deemed almost exclusively responsible for citizens’ enjoyment of rights, faces a small yet by no means insignificant challenge in the form of human rights cities. While there is a rich literature surrounding municipalities whose local governments embrace non-discrimination, participatory democracy and other human rights principles, a distinct, yet equally fascinating development is the trend in cities who have committed to the furtherance of a singular right. One such phenomenon which has yet to receive significant attention within the academy is the rise in right to food cities in the UK, referring to those which have joined the campaign for domestic recognition of the right. In light of the UK government’s deep-seated resistance to the right, this article explores the advent of right to food cities/municipalities and their potential as an alternative means of targeting hunger and food insecurity within the state. While it is recognized that each individual initiative may only have a localized impact, it is argued that their collective force should not be dismissed at this early stage—their calls for change are only likely to increase in fervour as the effects of the cost-of-living crisis upon the population worsen.

Assessment of regenerative hospitality

ABSTRACT This article addresses the lack of practical tools for assessing regenerative hospitality in hotels. The study provides a systematic approach to developing a practical tool to assess and promote regenerative practices in the hospitality industry. The literature review identified seven components as potential drivers of regenerative hospitality: regenerative mindset, interconnectedness, place integration, localised impact, well-being, co-creation and dynamism. Results of pilot testing showed the first five as central to regenerative hospitality, while the latter two are perceived to be less supported and will require further refinement. The tool enables systematic assessment and improvement of regenerative practices and offers practical insights for hotel managers. At the same time, the moderate inter-rater reliability indicates that some criteria might require further specification. It is further recommended to test the tool in a wider set of hospitality settings and refine the assessment by engaging different stakeholder perspectives.

EXPERIMENTAL AND NUMERICAL STUDY OF INCREASED CORE SURFACE AREA ON THE PERFORMANCE OF ADDITIVELY MANUFACTURED HONEYCOMB SANDWICH STRUCTURES

Abstract Sandwich composite structures have an efficient structural design that provides high bending stiffness and strength at low weight. However, these structures are plagued with weak core-to-facesheet bond strength. In this work, the effect of increasing the contact area between the composite facesheet and honeycomb core was studied. Sandwich panels were manufactured using two different honeycomb structures, a regular and a modified honeycomb, and their respective bond strengths were evaluated using the flatwise tension test (ASTM C297). The honeycombs were additively manufactured using selective laser melting (SLM) process. The modified honeycomb was designed to have a larger surface area while retaining the same relative density as the regular honeycomb. The facesheets were made out of carbon-fiber, while the core was additively manufactured using 304L stainless steel powder. Impact specimens were manufactured and tested for impact resistance. A finite element model was created to study the integrity of the sandwich structures subjected to localized impact damage. The finite element model of the damage resistance due to impact showed a good agreement with the experimental results. Samples with increased contact area showed higher impact resistance. The average impact strength of the modified samples was 41.3% higher than the average impact strength of the regular samples. Flatwise tension results showed that by increasing the contact area between the core and the facesheet the core-to-facesheet bond strength increased.

Analisis Syariah Marketing Mix Arrum BPKB dan Urgensinya dalam Meningkatkan Pendapatan UMKM Nasabah Pegadaian UPS Diponegoro Sumenep

The main objective of this study is to analyse the impact of the Arrum BPKB sharia marketing mix at Pegadaian UPS Diponegoro on the income level of MSME customers.This qualitative case study uses structured interviews to collect primary data from MSME players, complemented by secondary data from institutional records. The focus of the analysis is placed on understanding how the application of Sharia principles in marketing can improve business funding solutions. The application of Sharia Marketing Mix for Arrum BPKB financing has significantly increased customer interest and participation. Interviews with five MSME customers showed a marked increase in their daily and monthly income, confirming the effectiveness of this strategy in the real world. This study highlights the alignment of Shariah-compliant practices with customer needs and market dynamics. The findings underscore the importance of incorporating Shariah principles in marketing strategies in Islamic financial services. In practical terms, this approach not only helps in complying with ethical standards, but also enhances customer trust and financial inclusion for cash-strapped MSMEs. This study introduces new insights into the localised impact of Shariah marketing practices on MSME profitability, particularly in the Indonesian financial services context, and sets a precedent for further regional studies

De-identification and anonymization: legal and technical approaches

"This study analyzes legal and technical approaches to data de-identification and anonymization, motivated by the need to develop balanced standards that preserve privacy without stifling beneficial data uses. Doctrinal and technical literature review methods examine provisions in major data protection laws worldwide, including the EU's GDPR, US HIPAA, and emerging frameworks in China, India, and Uzbekistan, alongside mathematical models like differential privacy and k-anonymity. The legal analysis reveals common themes like flexible research exemptions for anonymized data and calibrating standards based on sensitivity, but also gaps such as ambiguities around pseudonymization. The technical review highlights the strengths and weaknesses of encryption, perturbation, generalization, and federation techniques, emphasizing the need to complement mathematical methods with governance controls. Key findings include the importance of allowing contextual optimization, providing detailed regulatory guidance, and addressing re-identification incentives. Recommendations are provided for advancing Uzbekistan's data protection laws and practices based on international experiences, such as enabling public oversight, conducting localized impact assessments, and promoting privacy-enhancing technologies. The study concludes that to anonymize data in a way that enables research while also protecting people's rights, we need a comprehensive approach that includes laws, organizational rules, technical safeguards, ethical decision-making, and public input. All of these parts working together is important for successful data anonymization."

Transdermal Delivery of Polymeric Nanoparticles Containing Aconite Root for the Treatment of Chemotherapy‐Induced Peripheral Neuropathy

Chemotherapy‐induced peripheral neuropathy (CIPN) poses challenges like pain and numbness, necessitating innovative treatments due to current limitations. Conventional approaches, relying on pain relief medications and dose adjustments, fall short in addressing neurotoxicity, resulting in inadequate pain relief and undesired effects. Aconite root (AR), a medicinal herb withcenturies of use against various diseases, contains a compound named Aconine, which alleviates pain by blocking specific neural channels. However, AR also contains Aconitine, a toxic substance hydrolyzed into nontoxic Aconine through heating. Herein, hyaluronate‐poly(lactic‐co‐glycolic acid) nanoparticles (HA‐PLGA/AR NPs) encapsulating Aconine are fabricated, enabling controlled release, protection, and transdermal delivery, enhancing therapeutic outcomes. High‐performance liquid chromatography identifies optimal Aconine content after 48 h of AR boiling, with minimal neural toxicity confirmed. Characterization via transmission electron microscopy, dynamic light scattering, and in vitro assays demonstrates superior drug release by HA‐PLGA/AR NPs, establishing effective transdermal Aconine delivery. In an in vitro CIPN model with paclitaxel (PTX)‐treated PC12 cells, HA‐PLGA/AR NPs stimulate enhanced neurite growth, validating their localized analgesic impact on CIPN and suggesting potential symptom alleviation. Taken together, HA‐PLGA/AR NPs offer a promising strategy for controlled transdermal Aconine delivery, potentially alleviating CIPN and addressing various neuropathies and diseases.

Does increased temperature affect residential mobility? A 20-year nationwide evidence in Australia

People adapt to changes in livelihoods and risks caused by summer high temperature in the era of global warming, which may also lead to residential mobility at the individual level and migration flow at the aggregate level. However, little evidence is available to show the long-term localized impact of summer temperature on residential mobility. Our study aims to conduct a 20-year nationwide investigation of the heat-mobility relationship in Australia to reveal how the increase of summer temperature is associated with the change of residential mobility and how such relationship shifts over time. Employing a tri-environmental (i.e., social, built and natural environment) conceptual framework adapted from the Social Ecological Theory, our analyses draw on the Australian census data from 2001 to 2021 together with the earth observation data to quantify multiple confounders in the tri-environmental dimensions in order to reveal the heat-mobility relationship at the national, state, urban and rural scales. We find that locales with significant increase in summer temperature have less inbound residential mobility, that is, people are less likely to move into heat-affected areas. This study enhances the understanding of how global warming affects residential mobility and settlement, and what adaptation strategies are needed to reduce the heat threat and achieve urban sustainability.

Unraveling Light-Activated Insulin Action in Regulating Blood Glucose: New Photoactivatable Insight as a Novel Modality in Diabetes Management.

Diabetes, particularly type 2 diabetes (T2D), is the main component of metabolic syndrome. It is highly prevalent and has drastically increased with sedentary lifestyles, notably behaviors linked to ease of access and minimal physical activity. Central to this condition is insulin, which plays a pivotal role in regulating glucose levels in the body by aiding glucose uptake and storage in cells, and what happens to diabetes? In diabetes, there is a disruption and malfunction in insulin regulation. Despite numerous efforts, effectively addressing diabetes remains a challenge. This article explores the potential of photoactivatable drugs in diabetes treatment, with a focus on light-activated insulin. We discuss its advantages and significant implications. This article is expected to enrich the existing literature substantially, offering a comprehensive analysis of potential strategies for improving diabetes management. With its minimal physical intrusion, light-activated insulin promises to improve patient comfort and treatment adherence. It offers precise regulation and localized impact, potentially mitigating the risks associated with conventional diabetes treatments. Additionally, light-activated insulin is capable of explicitly targeting RNA and epigenetic factors. This innovative approach may pave the way for more personalized and effective diabetes treatments, addressing not only the symptoms but also the underlying biological causes of the disease. The advancement of light-activated insulin could revolutionize diabetes management. This study represents a pioneering introduction to this novel modality for diabetes management.