Search Results (801)

Glucose-responsive smart insulin delivery systems that mimic the pancreatic insulin release system can improve the health and quality of life of patients with diabetes. In this study, a spherical drug delivery carrier encapsulating insulin was developed to achieve improved glucose accessibility and a rapid pH response using polyhedral oligomeric silsesquioxane (POSS) as a sterically stabilizing structure. Highly sensitive poly(acrylic acid) (PAA)-POSS-aminophenylboronic acid (APBA)@insulin (386 ± 69 nm), a spherical drug delivery carrier encapsulating insulin, was synthesized using POSS, a hydrophobic material, and PAA and APBA, which respond to pH and glucose, respectively. The drug carrier has dual reactivity with pH and glucose, and the synthesis of the carrier was confirmed through Fourier transform infrared (FT-IR) spectroscopy, which verified that the particles were stable at each pH through the zeta-potential data. In particular, PAA-POSS-APBA@insulin exhibited highly sensitive drug delivery characteristics, in which the backbone of PAA was expanded under acidic conditions (around pH 5.0) and insulin bound to the boronic acid inside could rapidly and selectively react with trace amounts of glucose. PAA-POSS-APBA@insulin nanoparticles exhibited no HeLa cell cytotoxicity up to a high concentration of 640 μg/mL, and the cell growth rate increased with the concentration, indicating biocompatibility. The average blood glucose level of diabetic mice treated with POSS-APBA@insulin (4.0 IU/kg) decreased for >6 h and remained stable. Thus, PAA-POSS-APBA@insulin can function as a stimulatory-responsive drug carrier targeting hyperglycemic environments. Full article

This paper presents a comprehensive methodology for evaluating the flexibility potential of Electric Vehicle (EV) charging infrastructures from the perspective of a Charge Point Operator (CPO). The proposed framework is general and applicable to different types of charging infrastructures, provided that a set of operational assumptions is satisfied. These include unidirectional smart charging (V1G), AC charging sessions, preservation of user energy delivery when providing flexibility, and explicit modeling of rebound effects induced by temporal load shifting, requiring subsequent recovery of the shifted energy. The methodology is then applied to a real-world workplace charging facility to quantify the amount and temporal distribution of flexibility under different baseline charging strategies and levels of on-site photovoltaic integration. The analysis shows that a significant share of daily energy demand (i.e., between 20% and 36%) can be made available for flexibility services within the considered assumptions. Furthermore, the results highlight a strong operating cost trade-off between local optimization strategies and participation in system-level flexibility markets in the considered case study. Full article

Australian local governments are increasingly deploying smart city technologies to manage climate-related shocks and chronic stresses, yet implementation often remains fragmented and difficult to embed in routine practice. Many initiatives stall in “pilot-forever” cycles because decision rights, equity safeguards, operational integration, and learning systems are applied inconsistently. This paper introduces the Smart Urban Resilience Framework (SURF), a phase-gated, tier-aware governance framework designed to support the institutionalisation of smart urban resilience through more transparent and evidence-based decision-making. The SURF is grounded in an integrated evidence-to-design synthesis drawing on a systematic review, a comparative analysis of Tier 1 and Tier 2 Australian local government strategies, an in-depth Sydney case study, and stakeholder interviews. Although empirically grounded in Australian local government, the SURF is designed as a governance architecture that may be adapted in comparable municipal settings elsewhere. The framework comprises a staged pathway, two evidence gates, and four concurrent action tracks, supported by enabling layers and traceable evidence tools. The SURF is presented as a practical implementation architecture intended to support more transparent and defensible decisions about funding, scaling, refining, or retiring smart resilience initiatives. In this paper, resilience is operationalised through a service continuity lens, focusing on how digital initiatives can be embedded in governance and delivery systems to support the continuity of essential local government services under stress. Full article

Traumatic brain injury (TBI) is a prevalent neurological disorder that induces severe neurological dysfunction and markedly reduces quality of life owing to its complex pathophysiology and limited therapeutic options. Conventional pharmacological and surgical interventions show restricted efficacy because of poor blood–brain barrier penetration and inability to address secondary injury cascades. In recent years, hydrogels have shown significant potential for TBI repair due to their superior biocompatibility, high water content, and ability to mimic the native extracellular matrix (ECM). This review systematically examines recent advances in hydrogel applications for TBI therapy, focusing on their roles as drug delivery platforms, stem cell scaffolds, neuroregeneration promoters, inflammation modulators, and angiogenesis facilitators. Particular emphasis is placed on the therapeutic benefits and underlying mechanisms of ECM-derived hydrogels, self-assembling peptide (SAP) hydrogels, stimuli-responsive smart hydrogels, and functionalized multicomponent systems. Current challenges and limitations in hydrogel applications are also discussed, along with future research directions, to provide scientific rationale and practical guidance for precision TBI therapy. Full article

Background: Conventional therapeutic and diagnostic approaches, despite improving clinical outcomes, remain limited by poor bioavailability, inadequate targeting, suboptimal pharmacokinetics, and systemic toxicity, particularly in complex diseases. To overcome this, nanomedicine has emerged as a transformative strategy, employing engineered nanoparticles to enhance drug stability, controlled release, targeted delivery, and diagnostic performance, thereby enabling theranostic applications. This review evaluates major nanoparticle platforms in therapy and diagnosis, comparing their mechanisms, applications, and challenges while highlighting their potential to advance precision medicine and theranostic strategies. Method: For providing the context and evidence, relevant literatures were sourced from Google Scholar, PubMed, and ScienceDirect using targeted keywords including “drug delivery,” “diagnostics,” “nanoparticles,” “nanomedicine,” “nano drug delivery,” “nanotheranostics,” “targeted therapy,” “controlled drug release,” “solid lipid nanoparticles (SLNs),” “lipid nano carriers (LNCs),” and “inorganic nanoparticles.” Although no strict time limit was applied during the literature search, clinical trial data were collected and analyzed up to January 2026. Given that clinical trial registries are continuously updated, the included trials represent the status at the time of data retrieval. However, it is pertinent to note that the earliest relevant studies appeared in 1973. Conclusions: This review highlights nanoparticle fundamentals, major material classes, mechanisms of action, and applications in targeted therapy, imaging, and theranostics. It also addresses translational barriers related to safety, scalability, biological complexity, and regulatory compliance. Overcoming these challenges through standardized characterization and interdisciplinary collaboration is crucial for clinical adoption. Future efforts should focus on AI-driven design, computational tools, smart nanomedicines, and advanced biosensing technologies to integrate nanoparticle-enabled precision diagnostics and therapy into routine clinical practice. Full article

Municipalities in South Africa face increasing pressure to improve service delivery, operational efficiency, and sustainability amid growing urbanisation and governance challenges. The integration of smart city dimensions such as smart governance, mobility, and infrastructure offers a transformative approach to improve public sector supply chain management. However, limited empirical research exists on how these dimensions are being applied in South African municipal contexts. This study aimed to evaluate the extent to which smart city dimensions are integrated into supply chain management practices within a South African municipality and to assess the impact of these initiatives on supply chain efficiency, transparency, and sustainability. A qualitative, exploratory case study design was employed. Twenty senior managers and key stakeholders from the supply chain department of the selected municipality were purposively sampled. Data were collected through semi-structured face-to-face interviews and analysed thematically using NVivo software. Lincoln and Guba’s trustworthiness framework guided the study’s rigour. The findings revealed partial and uneven integration of smart city dimensions, with notable developments in smart governance and mobility, but limited progress in areas such as infrastructure digitalisation and citizen-centric data platforms. Participants highlighted both innovation drivers and institutional barriers affecting the transition to smart-enabled supply chain practices. Smart city dimensions present significant potential to improve municipal supply chain management; however, effective integration requires structural alignment, digital investment, and organisational readiness. This study provides context-specific insights into the uneven and fragmented integration of smart city dimensions within municipal supply chain systems in a developing country context, emphasising the impact of institutional constraints, digital capability gaps, and governance misalignments on implementation outcomes. Full article

Gastric cancer (GC) is one of the most aggressive malignancies with a dismal prognosis, late diagnosis, and limited therapy efficacy. Biologically, GC is associated with multiple barriers to therapeutic response including gastric mucosal layer, acidic tumor microenvironment (TME), high accumulation of extracellular matrix (ECM) components, and limited penetration depth of anticancer drugs into tumor tissue. Furthermore, inherent or acquired drug resistance associated with drug efflux transporters, deregulated autophagy, tumor heterogeneity, and cell survival pathways severely compromise treatment response. Nanotechnology has been widely used to develop next-generation nanotherapeutic delivery systems to overcome these biological barriers. Currently available nanoplatforms such as liposomes, polymeric nanoparticles, dendrimers, and inorganic nanocarriers have improved drug loading capacity, aqueous solubility, circulation time stability, tumor-targeted delivery, and sustained release of chemotherapeutics. Smart and stimuli-responsive nanocarriers can also take advantage of pathological hallmarks of tumors including low pH, redox potential, and overexpressed enzymes for enhanced selective delivery to the tumor site. Nanotherapeutics have also shown promise for co-delivery of multiple therapeutic agents to overcome drug resistance, manipulation of TME, and suppression of autophagy and apoptosis signaling pathways associated with drug resistance. This review discusses recent advances in nanotherapeutics for GC including approaches to overcome biological barriers and drug resistance and highlights translational gaps for clinical development. Full article

Natural disasters are devastating occurrences that have a major influence on the well-being of numerous individuals on a global scale. The primary goal of this study is to facilitate the rapid, transparent, and safe delivery of various aid such as food and clothing to people in disaster areas. For this purpose, a system has been established using blockchain technology in cooperation with institutions and humanitarian organizations. This system is designed to be accountable and reliable; it will supervise all processes from the source of aid materials to their distribution while protecting the personal information of disaster victims. The assistance process is improved using Smart Contracts in order to provide fast, effective, and coordinated assistance. Unlike existing humanitarian frameworks that rely on permissionless networks such as Bitcoin or Ethereum, this study proposes Hyperledger Fabric to ensure beneficiary privacy and eliminate per-transaction fees for end-users, thereby offering a more sustainable economic model for high-frequency aid distribution compared to public blockchains. The proposed system (Chainguard) addresses the ’efficiency gap’ in the current literature JSON Web Token (JWT)-based authentication layer. The results showed that Chainguard achieves a stable throughput of ~180 TPS with an end-to-end latency of less than 1.5 s, outperforming traditional heavy-cryptography models in terms of scalability and resource efficiency during real-time disaster response. Full article

Smart hydrogel systems with stimuli-responsive properties are increasingly being investigated in combination with advanced additive manufacturing techniques for targeted drug delivery and wound healing in regenerative medicine; however, their clinical translation remains limited by challenges related to material performance, design complexity, and manufacturing scalability. This review analyzes recent developments in smart hydrogel design and 4D-printed scaffolds, with emphasis on programmable and stimuli-responsive architectures. The literature is selectively evaluated based on relevance to (i) hydrogel structure–property relationships, (ii) 3D/4D printing strategies, and (iii) demonstrated performance in drug delivery and wound healing applications. The analysis highlights design approaches enabling spatiotemporal control of drug release and dynamic scaffold behavior, while also examining how fabrication methods influence functional outcomes. Major limitations are critically assessed, including issues of reproducibility, mechanical stability, long-term performance, and the gap between experimental studies and clinical application. Challenges in defining and implementing 4D printing in biomedical contexts are discussed as well. Overall, this review identifies current design trade-offs, outlines priorities for improving reliability and translational potential, and synthesizes emerging trends in 3D and 4D printed hydrogel scaffolds for precision drug delivery and regenerative wound therapy. Full article

Over the past 200 years (1820–2020), global life expectancy has nearly tripled, increasing from 26 to 72.91 years, due to factors such as poverty reduction and public health initiatives. Today, society faces different challenges than it did centuries ago. In patient care and healthcare system priorities, the goal is to develop smart, feasible, long-lasting, cost-effective, readily available, adverse-reaction-free, adaptable, and personalized solutions that minimize patient discomfort, reduce caregiver effort, and decrease hospitalization duration and costs. In this context, biomaterials serve as versatile tools capable of performing a wide range of diagnostic, therapeutic, and theragnostic functions. Thanks to their biocompatibility, biodegradability, surface chemistry, and responsiveness, biomaterials are currently addressing issues such as patient compliance (through controlled drug-delivery systems and smart wound dressings), long transplant waiting lists, transplant rejection, non-adaptable prosthetics (artificial organs), oncology treatment efficacy (nano-formulations for theragnostics and multiple tumor targeting), and inconsistent in vitro drug-testing models (organs-on-a-chip). In this review, we focus on biomaterials’ smartness, then explore databases for efficient product design, and finally highlight their applications in the biomedical field, especially in drug delivery, tissue engineering, and regenerative medicine. Full article

The treatment of skin diseases remains a significant clinical challenge. Cellulose and its derivatives have emerged as research hotspots in skin-related applications due to their excellent biocompatibility, structural modifiability, and biomimetic properties. This review systematically summarizes the diverse construction forms of cellulose-based materials, including films, nanofibrous scaffolds, hydrogels, and aerogels, with a focus on smart responsive systems tailored to various microenvironmental conditions. Their application progresses in acute/chronic wound healing, bacterial infections, burns, scar prevention, immunomodulation, and smart wearable monitoring are highlighted. The underlying mechanisms involving anti-infection, pro-regeneration, microenvironment modulation, and sensing are analyzed, aiming to provide insights for further exploration of cellulose-based materials in skin disease therapy and even smart wearable devices. Full article

With the rapid development of e-commerce and the increasing complexity of urban logistics, traditional delivery methods face significant challenges due to regional traffic restrictions and congestion. This paper presents a two-stage optimization approach for urban delivery routing, integrating the Split Delivery Vehicle Routing Problem (SDVRP) and truck-drone collaboration to address these challenges. In the first stage, a transportation route optimization model based on SDVRP is proposed, which accounts for regional constraints and vehicle capacity limitations. The model allows for demand splitting, reducing the number of vehicles required and minimizing transportation costs. In the second stage, a truck-drone collaborative delivery model is introduced to handle the “last mile” distribution, where drones complement trucks by delivering to areas with restricted vehicle access. The optimization model aims to minimize overall delivery costs while ensuring timely service. An enhanced genetic algorithm is further developed to solve this complex, multi-constrained model. Experimental results show that the proposed collaborative strategy reduces delivery costs by over 10% compared to truck-only delivery, and the improved algorithm achieves a 4.77% average cost reduction over traditional approaches. This study provides valuable insights for optimizing urban logistics systems under regional constraints, offering both theoretical and practical contributions to smart logistics development. Full article

Rational design of smart nanogels for drug delivery requires molecular-level understanding of how structural evolution and drug–carrier interactions couple under multiple stimuli. Here, pH/temperature dual-responsive P(NIPAM-co-AAc) nanogels containing 0–20 mol% AAc were investigated by combining all-atom molecular dynamics simulations with in vitro ibuprofen (IBU) release experiments under acidic (pH 2.75) and weakly basic (pH 7.4) conditions at 298 and 310 K. The simulations identified CA-5-L-298 as the most retained system, with the lowest IBU diffusion coefficient (0.92 × 10⁻⁷ cm² s⁻¹) and no dissociated molecules under the adopted criterion, whereas CA-15-H-310 showed the highest diffusivity (8.61 × 10⁻⁷ cm² s⁻¹) and dissociated fraction (22%). Consistently, in the urea-free release experiments, CA-15-H-310 exhibited the highest 24 h cumulative release (69.4%), while CA-5-L-298 remained among the low-release systems (35.9%). Pore analysis, hydrogen-bond statistics, MM/PBSA calculations, and urea-competition experiments together support the view that IBU release is influenced by both mesh steric sieving and polymer–drug affinity switching, and correlation analysis provides quantitative support for linking the MD descriptors with the experimental release behavior. Overall, the simulations reproduce the qualitative trends in the experiments and provide a molecular-level framework for rationalizing the observed release behavior in dual-responsive nanogels. Full article

Large-scale smart agriculture requires reliable and energy-efficient wireless connectivity to support distributed environmental sensing across wide rural areas. However, existing low-power wide-area network (LPWAN) technologies often face limitations in scalability, reliability, or infrastructure dependency when deployed in large agricultural fields. This study presents the design and experimental evaluation of a hierarchical sensor network architecture that integrates LoRaMESH for multi-hop sensing communication and Wi-Fi HaLow as a sub-GHz backhaul for data aggregation and cloud connectivity. In the proposed system, LoRaMESH forms intra-cluster sensor networks using a lightweight controlled flooding protocol, while Wi-Fi HaLow provides long-range IP-based connectivity between cluster gateways and a central access point. A real-world deployment covering approximately $2.5\mathrm{km}\times 1\mathrm{km}$ of agricultural area was implemented to evaluate the performance of the proposed architecture. Experimental results show that the LoRaMESH network achieves packet delivery ratios above $90\%$ across one to three hops, with average end-to-end delays between $10.6$ s and $13.3$ s. The Wi-Fi HaLow backhaul demonstrates high reliability within short to medium distances, reaching $99.5\%$ packet delivery ratio at 50 m and $89.68\%$ at 200 m. Energy measurements further indicate that the sensor nodes consume only $21.19\mathsf{\mu }\mathrm{A}$ in sleep mode, enabling long-term battery-powered operation suitable for agricultural monitoring applications. These results indicate that the proposed hierarchical architecture is a feasible connectivity option for the tested large-scale agricultural sensing scenario. Because no side-by-side LoRaWAN or NB-IoT benchmark was conducted on the same testbed, the results should be interpreted as a field validation of the proposed architecture rather than as a direct experimental demonstration of superiority over alternative LPWAN systems. Full article

Sandy calcareous soils in arid regions suffer from low phosphorus (P) availability due to high fixation rates, limiting crop productivity. This study investigates a novel hybrid smart fertilizer (BN) composed of olive pomace biochar (BC) and nano-hydroxyapatite (nHAP). BN was synthesized and characterized using XRD, FTIR, SEM/TEM, and zeta potential analysis. Its P release kinetics were modeled, and its agronomic performance was assessed on faba bean (Vicia faba L.) in a pot experiment under sandy soil conditions with and without wood vinegar (WV). The 1:1 BC:nHAP formulation showed a two-stage release profile: a rapid initial burst (Higuchi model, R² = 0.86) followed by sustained zero-order release (R² = 0.80). In the pot experiment, BN combined with WV significantly increased plant height by 36%, shoot fresh weight by 232%, and available soil P by 39% compared to conventional SSP (p < 0.05). This synergistic treatment also improved root nodulation and nutrient (N, P, K) uptake. The BC-nHAP hybrid coupled with WV acts as an efficient P delivery system, improving soil fertility in arid environments based on circular economy principles, aligning with SDGs 2, 12, and 15. Full article