High-dose biologics and bioconjugates delivery: Integrating molecular optimization with device design and routes of administration.

Standardisation of ready-to-use intravenous antimicrobial preparation in a paediatric hospital-at-home unit.

ABSTRACT The 2001 stock market reform in China ended the administrative quota system for public listings, which had prioritized market access for provinces with larger state sectors. This reform led to a convergence of the probability of firms’ listing across provinces. Firms experiencing larger increases in listing probability exhibit higher growth in assets and investment, along with larger reductions in both costs of capital and marginal revenue product of capital. These patterns suggest that the reform improved capital allocation efficiency across Chinese firms, including unlisted ones. We identify equity market liberalization as a key institutional lever that drives reduced capital misallocation and thus contribute to debates on financial development and economic efficiency in emerging markets.

The Veterans Health Administration (VHA) and other health care systems have been moving to patient-centered health care models with a focus on individual goal setting and patient engagement. In VHA, this model of care is called Whole Health, implementation of which began in 2011. To examine whether Whole Health utilization is associated with subsequent improvements in clinical quality measures of chronic disease management and preventive health care services. Controlled pre/post quality improvement evaluation accounting for secular trends. Veterans at 125 VHA medical centers who utilized care between 10/01/2022 and 03/31/2023. INTERVENTIONS: Veterans with Whole Health utilization that included Whole Health educational classes, coaching activities, and Whole Health clinical care conversations with providers were assessed alongside reference patients who used general VHA care during the same period. MAIN MEASURES: Change in clinical quality measures one month before using Whole Health care to 6 months after. The population included 548,968 Whole Health users and 5,428,413 general VHA users. Improvements were observed in all nine clinical quality measures following Whole Health utilization and continued to improve over 6 months. The proportions of Whole Health cohorts with quality improvements were greater than the reference cohorts over the same period. For example, among patients with diabetes, 80.1% of the Whole Health group had good HbA1c control (<8%) at 6months compared to 74.9% before using Whole Health, an increase of 5.2% (95% CI 4.8-5.6%). The adjusted proportion improving after accounting for demographic and clinical characteristics as well as secular trends in the reference cohort was 4.4% (95% CI 4.1-4.7%). These exploratory findings observed that Whole Health utilization was associated with subsequent improvements in health care quality, suggesting this patient-centered care model can potentially augment primary care, achieving a ripple effect improving chronic disease management and preventive care adherence through increased patient activation and engagement.

Microneedle (MN) technology is an appealing route for treating skin cancers, but remains many challenges, such as accommodating multiple theranostic functionalities and configuring personalized sensing, particularly given that MNs typically collect sample volumes from microliters to milliliters, necessitating suitable trace analysis techniques. In this study, we developed a versatile, multilayer, detachable MN administration system capable of simultaneous photocontrolled drug delivery therapy that operated based on real-time in situ conditions monitored by droplet-based PCR (dPCR). The detachable MN consisted of an innermost poly (ethylene glycol) diacrylate extraction layer, an outer gelatin methacryloyl drug-loaded layer containing Vemurafenib and black phosphorus (BP), and a polyvinyl alcohol connection layer designed for thermal detachment. The outer layer enabled light-responsive drug release through BP's photothermal properties, achieving 78% release within 24h. Subsequently, the significant mechanical strength and swelling characteristics facilitated the effective extraction of approximately 26µL of interstitial fluid within 10min. Both in vitro and in vivo studies on melanoma demonstrated the platform's capability to enhance therapeutic efficacy while minimizing systemic toxicity. It enabled dPCR-based monitoring of MCAM and BRAF genes, including the drug-resistant V600E polymorphism, with detection limits of 223copies/µL, along with digital proximity ligation assay detection of the protein markers IL-6, VEGF, and Ki-67 at 0.64pg/mL. This well-designed biosystem highlighted its capability to interact with the pathophysiological environment, providing a preclinical proof-of-concept for minimally invasive theranostics in superficial tumors.

Intravenous medication administration is a high-risk clinical procedure, where medication errors can lead to adverse consequences. Evidence-based clinical practice guidelines provide recommendations for the administration and monitoring of intravenous infusions. These guidelines are being increasingly integrated into clinical decision support systems (CDSS). The development of CDSS should emphasize nurses as core users, closely align with their clinical workflows, and ultimately create practical, user-friendly tools through thoughtful interface design, functional logic, and intelligent alert mechanisms. We aimed to design and develop a clinical decision support tool based on the Data-Information-Knowledge-Wisdom (DIKW) model, which minimizes infusion errors by providing real-time alerts and standardizing workflows. A non-randomized trial (May-July 2024) in a tertiary hospital compared traditional practices (n=1,204) with a CDSS (n=1,207) using 300 clinical rules and a personal digital assistant (PDA) interface. Outcomes included error rates, severity, nurse satisfaction, and efficiency. The CDSS reduced errors by 56.8% (16.69% to 7.21%, P<0.001), eliminated severe errors (Level 3-4), improved nurse satisfaction (mean 69.1/85 on a 17-85 scale), and reduced prescription processing time by 41%. This nurse-led CDSS enhances infusion safety and efficiency, offering a scalable solution. AI-driven predictive error detection could further optimize outcomes.

This study aims to analyze the management of the Cermat Waste Bank Unit in Suwawal Timur Village, Pakis Aji District, Jepara Regency, using the social entrepreneurship theory proposed by Dees (1998). The research is motivated by the limited sustainability of waste banks in Jepara, indicated by the high number of inactive units due to weak management capacity, limited innovation, resource constraints, and lack of managerial regeneration. This research employs a qualitative approach with a case study method. Data were collected through in-depth interviews, observation, and documentation. The analysis involved data reduction, data display, conclusion drawing, and was strengthened by SWOT analysis to formulate strategic recommendations. The findings reveal that social entrepreneurship practices within the Cermat Waste Bank are reflected in its strong social mission, continuous program innovation, courage in facing resource limitations, and orientation toward both social and economic value creation. Internal factors influencing sustainability include leadership, managerial commitment, and management systems, while external factors involve government support, community participation, and recycling market conditions. Recommended strategies include strengthening managerial capacity, digitalizing administrative systems, enhancing partnership networks, and diversifying circular economy-based programs. This study contributes theoretically to the development of community-based social entrepreneurship literature and practically to strengthening sustainable waste bank institutions.

Oral pH-responsive sodium alginate microspheres co-delivering Musca domestica cecropin and eugenol for anti-inflammatory therapy in sepsis.

The Idumean corpus of Aramaic ostraca sheds light on the structured administrative and fiscal system in the region. This publication raised the possibility of the presence of the terms qaštu (“bow-fields”) and, albeit conjecturally, “horse-estates,” which would offer the first concrete evidence of these land-management practices within the fiscal framework of the Idumean region. These findings resonate with other key terms already mentioned by scholars, such as iškaru and references to tax collectors, which underscore the Persian institutional system of taxation, labor organization, workforce allocation, and resource management. The fiscal vocabulary and classifications of landholding revealed in these texts display parallels with Babylonian, Persepolitan, and Egyptian models, while simultaneously reflecting local adaptations. The ostraca thus demonstrate that Idumea was an integrated part of a hybrid imperial structure that linked local agricultural communities to the broader Persian administration.

User-centric dimensions of trust and acceptance in blockchain adoption for land administration systems: A systematic literature review

The emergence of Internet of Things (IoT) devices in healthcare environments presents unprecedented opportunities for remote patient monitoring, telemedicine, and intelligent medical data processing. Current network management approaches fail to accommodate the unique characteristics of medical environments, where emergency cardiac monitoring systems require guaranteed millisecond response times while routine administrative systems can tolerate moderate delays. Existing solutions lack the domain knowledge to automatically distinguish between life-critical and standard medical traffic, resulting in inefficient resource allocation and potential patient safety risks. Therefore, this paper proposes a novel intent-based networking framework integrating knowledge-driven policy generation with multi-path network slicing for healthcare IoT ecosystems. Our approach introduces a multi-stage intent translation mechanism that leverages external medical knowledge graphs and deep learning techniques to decompose high-level healthcare service intents into executable network configurations automatically. Results show that the proposed framework achieves 85-98% resource utilization efficiency across varying network conditions, maintains 99.5% quality of service achievement for emergency response systems, and exhibits superior scalability with sub-150 millisecond response times when supporting 1000 IoT devices, enabling hospitals to reduce network configuration complexity by 78% while maintaining critical system uptime.

Investigation of sterile hydrogels as topical vehicles for APOSECTM, a stressed peripheral blood mononuclear cell secretome for the treatment of poorly healing wounds.

The digitalization of tax administration has become a strategic agenda in modern fiscal governance reform. Indonesia addressed this challenge through the launch of the Core Tax Administration System (Coretax) in January 2025, integrating 21 tax administration modules into a single digital platform with an investment of IDR 1.2 trillion. Coretax is positioned as a primary instrument of fiscal bureaucratic reform within the Directorate General of Taxes. However, its implementation has encountered significant challenges, including technical disruptions, low user adoption, limited digital literacy, and stakeholder resistance. These issues reveal a gap between policy design and the practical realities of digital tax reform. This study aims to analyze the implementation of Coretax as an instrument of fiscal bureaucratic reform through the lens of Digital Era Governance (DEG), focusing on its three pillars: reintegration, needs-based holism, and digitization change. The study employs a systematic literature review with content analysis, drawing on national academic journals, tax regulations, and official reports from the Directorate General of Taxes. The analytical framework is grounded in Digital Era Governance, supported by New Public Management and Good Governance perspectives. The findings indicate that Coretax has achieved progress in system reintegration but continues to face deficits in service holism and comprehensive digital transformation. Optimizing Coretax requires strengthened change management, enhanced organizational capacity, and strategies to build public trust and fiscal legitimacy. This study contributes conceptually to the development of Digital Era Governance theory in the context of tax administration in developing countries while offering strategic recommendations for digital-based fiscal bureaucratic reform.

This study examines the implementation of a Database Management System (DBMS) to improve the Management Information System at the Nigerian Army College of Environmental Science and Technology (NACEST), Makurdi. The research aims to reduce data duplication, enhance data access and security, enforce data standards, and shorten application timelines. A descriptive research design was adopted, and data was collected through questionnaires from 80 respondents. The findings reveal that the DBMS significantly reduces data duplication, improves data consistency, and enhances the speed and reliability of data access. The study concludes that the DBMS provides a more efficient, reliable, and secure framework for managing institutional information, making it an essential tool for improving administrative systems. Recommendations include continuous training for staff, regular updates and maintenance of the DBMS, and integration with all student-related processes.

This study addresses the challenge of accelerating bureaucratic innovation in local governments amid rigid organisational cultures and limited intergenerational synergy. Focusing on the City of Sukabumi, the research explores how the internalisation of BerAKHLAK values intersects with the implementation of Agile Bureaucracy to shape adaptive and innovative public service behaviour. While both frameworks have been promoted in Indonesia’s civil service reform agenda, few studies have analysed their combined effect at the municipal level. Employing a mixed-methods approach—quantitative surveys (n = 35) and focus group discussions with OPD stakeholders—this study finds a significant positivecorrelation (r = 0.551; p &lt; 0.05) between value internalisation and organisational innovation capacity. Key enabling factors include leadership, cross-sector collaboration, and flexible structures, while hierarchical rigidity and generational divides act as barriers. The study contributes to public administration literature by offering an integrated framework that links values-based governance and agile organisational practices. Practically, it provides reform insights for mid-sized city governments seeking to foster more responsive, collaborative, and innovative bureaucracies. Sukabumi’s experience offers a relevant model for other second-tier cities facing similar governance and innovation challenges in decentralised public administration systems.

Tax compliance in Indonesia remains a persistent challenge, particularly among business entities operating in sectors characterized by complex transactions and varying degrees of formalization, such as agricultural production facilities (saprotan). The specific context of this sector has received limited empirical attention, particularly regarding how digital tax administration and behavioral factors jointly shape compliance behavior. This study aims to examine the influence of digital tax administration systems, tax morale, and perceived tax sanctions on taxpayer compliance among saprotan businesses in Indonesia. Adopting a quantitative research design, this study utilizes census data collected through a structured questionnaire distributed to all identified saprotan businesses in several regions on the island of Java, yielding 97 valid responses from owners or directors who make tax-related decisions. The data were analyzed using statistical application SmartPLS 3 to assess the validity and reliability of the measurements and the structural relationships between the variables. The results indicate that the quality of digital tax administration, tax morale, and tax sanctions each have a positive and statistically significant influence on taxpayer compliance in the sector. By empirically testing these relationships in the context of agricultural production facilities, this study offers sector-specific evidence supporting the relevance of technology-based, psychological, and deterrent mechanisms in explaining compliance behavior, while providing focused implications for the design of digital tax reforms, taxpayer education, and consistent enforcement strategies in similar semi-formal business environments.

Development of self-emulsifying drug delivery systems (SEDDS) to improve the bioavailability of a new antileishmanial drug.

With the growing number of cancer survivors and projected shortages of oncology providers, understanding who delivers survivorship care has important implications for care quality. We examined follow-up provider patterns among lung cancer survivors in the Veterans Health Administration (VHA) system and assessed variation in receipt of guideline-concordant computed tomography (CT) imaging. We conducted a retrospective cohort study of 20,532 Veterans with stage I to III non-small cell lung cancer who received definitive treatment between 2008 and 2016. The primary exposure was the lung cancer survivor's follow-up provider specialty, defined as the specialty with whom the patient received the most post-treatment follow-up visits. We evaluated associations between treatment type and follow-up provider specialty and compared receipt of guideline-concordant surveillance imaging, defined as chest CT performed 120-270 days after treatment, across specialties using multivariable logistic regression, adjusted for demographic, clinical, and facility characteristics. Follow-up care frequently shifted to specialties different from those delivering definitive treatment. Among patients treated with surgery alone, most patients, 61% transitioned to primary care for follow-up, while 27% remained with surgery. Patients followed by medical oncology had the highest rates of guideline-concordant chest CT (72.8% v 66.2% in primary care, adjusted odds ratio, 1.42 [95% CI, 1.31 to 1.53]; P < .001). Chest radiography was used in 26% of cases, most often in primary care and surgical clinics. Survivorship follow-up for lung cancer in the VHA often shifted to primary care, where adherence to guideline-concordant chest CT was lower than in medical oncology. These shifts in care may have further implications for post-treatment outcomes and survivorship care, highlighting the opportunity to support nononcology providers in delivering guideline-concordant care as survivorship workforce demands grow.

The article attempts to conduct a comprehensive study of the history of the UGKC in the Odesa region. The main stages of its formation and development have been identified. The process of forming the Greek Catholic community in Odesa during 1917–1919 is analyzed. The church and educational activities of Father Ilya Klyvak in the city are considered, the purpose of which was to build a church and spread the influence of the Church in the southern region. The features of the revival and development of the UGKC in the 1990s are identified. The dynamics of the growth of Greek Catholic communities, the transformation of the church and administrative system and the problem of church construction of the UGKC in the Odesa region in the XXI century were studied

The article systematizes modern scientific approaches to the study of artificial intelligence in public administration. The main dimensions of the scientific paradigm are identified, namely theoretical and methodological, institutional and managerial, legal, ethical, socially participatory and applied. Based on the analysis of foreign and domestic research, the main scientific approaches to understanding artificial intelligence as a socio-technical phenomenon that functions at the intersection of technologies, institutions, law and society are systematized. Five key dimensions of the study are identified: theoretical and methodological, institutional and managerial, legal and ethical, socially participatory, and the Ukrainian context. It is proven that the implementation of AI transforms the logic of managerial decision-making, changes the nature of accountability, strengthens the role of data and necessitates the need to ensure transparency, fairness and control of algorithmic systems. Particular attention is paid to the risk-based approach to regulation, the principle of algorithmic accountability, data management and public involvement in the processes of policy formation in the field of AI. It is substantiated that the effectiveness and legitimacy of the use of artificial intelligence in the public sector are determined not only by technological characteristics, but also by the level of institutional capacity of the state, the quality of regulatory and legal support and public trust. The generalization of theoretical approaches and international experience made it possible to propose a holistic model of institutional regulation of artificial intelligence in public administration, which combines regulatory, institutional, infrastructural, ethical and participatory components. The novelty of the study lies in the formation of an integrated approach to understanding AI as an institutional element of the public administration system. The practical significance of the results lies in the possibility of their use for the development of public policy, improvement of regulatory mechanisms and introduction of innovations in the activities of government bodies