Successful Implementation Research Articles

Conceptualisation of the Regulatory Framework of Green Infrastructure for Urban Development: Identifying Barriers and Drivers

Urban green infrastructure plays a crucial role in sustainable city development by offering a multitude of benefits, including improved environmental quality, increased social well-being, and enhanced economic prosperity. Evaluation and monitoring of regulatory implementation stand as essential components in the advancement of urban green infrastructure (GI) as they indicate the efficacy of regulatory acts and enable the assessment of their implementation success and adaptability to identified needs. This study identifies barriers and drivers based on the views of 352 professionals surveyed between 2018 and 2023 in Serbia. The primary data collection method employed questionnaire surveys. This study identified a range of barriers within existing legal frameworks, foremost of which include the lack of coordination and coherence between relevant ministries and governmental agencies, insufficient financial and human resources, the lack of transparency in the regulation development process, the need for strengthening technical capacities, and the absence of an adequate urban GI strategy. This research serves as a foundation for conceptualising GI regulatory elements that enhance urban GI development. Addressing these barriers necessitates efforts to improve coordination and collaboration among stakeholders, increase public participation, and enhance transparency in the regulatory process.

Implementation of an electronic health record system during global surgical outreach: A prospective evaluation of success and sustainability.

The burden of musculoskeletal conditions continues to grow in low- and middle-income countries. Among thousands of surgical outreach trips each year, few organizations electronically track patient data to inform real-time care decisions and assess trip impact. We report the implementation of an electronic health record (EHR) system utilized at point of care during an orthopedic surgical outreach trip. In March 2023, we implemented an EHR on an orthopedic outreach trip to guide real-time care decisions. We utilized an effectiveness-implementation hybrid type 3 design to evaluate implementation success. Success was measured using outcomes adopted by the World Health Organization, including acceptability, appropriateness, feasibility, adoption, fidelity, and sustainability. Clinical outcome measures included adherence to essential quality measures and follow-up numerical rating system (NRS) pain scores. During the 5-day outreach trip, 76 patients were evaluated, 25 of which underwent surgery beforehand. The EHR implementation was successful as defined by: mean questionnaire ratings of acceptability (4.26), appropriateness (4.12), feasibility (4.19), and adoption (4.33) at least 4.00, WHO behaviorally anchored rating scale ratings of fidelity (6.8) at least 5.00, and sustainability (80%) at least 60% follow-up at 6months. All clinical quality measures were reported in greater than 80% of cases with all measures reported in 92% of cases. NRS pain scores improved by an average of 2.4 points. We demonstrate successful implementation of an EHR for real-time clinical use on a surgical outreach trip. Benefits of EHR utilization on surgical outreach trips may include improved documentation, minimization of medical errors, and ultimately improved quality of care.

Determining the stationary digital twins implementation barriers for sustainable construction projects

PurposePrevious research has demonstrated that Digital Twins (DT) are extensively employed to improve sustainable construction methods. Nonetheless, their uptake in numerous nations is still constrained. This study seeks to identify and examine the digital twin’s implementation barriers in construction building projects to augment operational performance and sustainability.Design/methodology/approachAn iterative two-stage approach was adopted to explore the phenomena under investigation. General DT Implementation Barriers were first identified from extant literature and subsequently explored using primary questionnaire survey data from Hong Kong building industry professionals.FindingsSurvey results illustrated that Lack of methodologies and tools, Difficulty in ensuring a high level of performance in real-time communication, Impossibility of directly measuring all data relevant to the DT, need to share the DT among multiple application systems involving multiple stakeholders and Uncertainties in the quality and reliability of data are the main barriers for adopting digital twins' technology. Moreover, Ginni’s mean difference measure of dispersion showed that the stationary digital twin’s barriers adoption is needed to share the DT among multiple application systems involving multiple stakeholders.Practical implicationsThe study’s findings offer valuable guidance to the construction industry. They help stakeholders adopt digital twins' technology, which, in turn, improves cost efficiency and sustainability. This adoption reduces project expenses and enhances environmental responsibility, providing companies a competitive edge in the industry.Originality/valueThis research rigorously explores barriers to Digital Twin (DT) implementation in the Hong Kong construction industry, employing a systematic approach that includes a comprehensive literature review, Ranking Analysis (RII) and Ginni’s coefficient of mean difference (GM). With a tailored focus on Hong Kong, the study aims to identify, analyze and provide novel insights into DT implementation challenges. Emphasizing practical relevance, the research bridges the gap between academic understanding and real-world application, offering actionable solutions for industry professionals, policymakers and researchers. This multifaceted contribution enhances the feasibility and success of DT implementation in construction projects within the Architecture, Engineering and Construction (AEC) sector.

Integration of LST and NDVI for adjusted night light index (ILNANLI): a novel index to reduce the effect of saturation and blooming of DMSP-OLS data

ABSTRACT DMSP-OLS night-light images have provided an effective way to monitor cities on a global scale. These images can separate urban areas and other human activities from the background without light with correct spatial measurement. However, due to saturation and blooming problems, the ability of these images to describe urban features is limited, especially in urban cores. Therefore, in this research, a new index, ILNANLI, has been developed and presented by integrating LST and NDVI for the adjusted night-light index. This index has two general goals: reducing the effects of saturation in the city centres, increasing the variety of brightness pixel values of night-light images, and reducing the blooming in the surrounding areas. The ILNANLI has been developed in such a way that it has put the indicators and relationships together, taking into account the characteristics of different regions of the city (such as buildings, vegetation, and soil) in such a way that in every urban environment (temperate and dry and semi-desert) to be successful. Another feature is its easy implementation and high success. In fact, the prominent feature of this index, which distinguishes it from the rest of the indices, is that it has been able to work successfully in arid and semi-desert areas in addition to temperate regions. The evaluation results showed that the average overall accuracy of ILNANLI in mapping and extracting built-up areas with automatic thresholds in cities with different climates has effectively increased by 8% compared to other indexes. Also, the examination of transects shows that the proposed index is more effective than the other four indexes in increasing the diversity of values and reducing blooming. Therefore, as a favourable option with easy implementation, the proposed index can be used to reduce the effect of saturation and blooming and study the urban structure at local scales.

Catalyzing the Success of Implementation of After-School Physical Activity Program in Primary School under the “Double-Reduction” Policy

The implementation of “Double-Reduction" policy creates a suitable external environment for the further development of after-school physical education services. In this study, literature review, questionnaire and interview methods are used as the main research methods to investigate the development status of after-school physical education services in urban primary schools in Guilin under the “double-reduction" policy environment, and to analyze and discuss the main influencing factors of after-school physical education services, such as coverage, contents, form and duration, participation and service mode, as well as quality and evaluation. The results revealed that: Under “double-reduction" policy, the after-school PE service coverage of primary schools in Guilin needs to continue to expand, and should strive to reach full coverage; Parents and students have strong demand for diversified after-school PE services, but there is a shortage of PE teachers, insufficient benefit guarantee for teachers to participate in after-school services, and the lack of quality and evaluation system. The paper suggests that relevant government departments should formulate after-school PE service policies to strengthen guidance, integrate high-quality after-school PE resources to participate in after-school service by purchasing services, strengthen the motivation of PE teachers to participate in after-school service, construct a reasonable after-school PE service evaluation system, and improve the quality of after-school PE service.

Improving Manufacturing Efficiency with Industry 4.0 Technologies: A Comparative Analysis of Smart Factories

The advent of Industry 4.0 technologies has ushered in a new era of manufacturing marked by the integration of cyber-physical systems, data-driven decision-making, and automation. This study presents a comprehensive comparative analysis of the impact of Industry 4.0 technologies on manufacturing efficiency through a focus on smart factories. The research examines how these technologies, such as the Internet of Things (IoT), artificial intelligence, and advanced robotics, contribute to operational improvements across diverse manufacturing environments. The methodology involves a comparative case study approach, analyzing multiple smart factories from various industries to identify common trends and distinct challenges. Key performance indicators (KPIs) related to efficiency, productivity, and resource utilization are assessed, providing a nuanced understanding of the transformative effects of Industry 4.0. The findings reveal that the implementation of smart technologies leads to significant improvements in production processes, reduced downtime, and enhanced product quality. Furthermore, the study explores the challenges encountered during the adoption of Industry 4.0, including cybersecurity concerns, workforce upskilling, and the integration of legacy systems. Insights gained from successful implementations serve as a guide for manufacturers seeking to optimize their operations through the adoption of Industry 4.0 technologies. The research contributes to the existing literature by offering a comparative perspective on smart factories, shedding light on best practices, and facilitating a deeper understanding of the factors influencing successful Industry 4.0 adoption.

Revolutionizing decision support: a systematic literature review of contextual implementation models for electronic health records systems

PurposeThis study aims to assess previously developed Electronic Health Records System (EHRS) implementation models and identify successful models for decision support.Design/methodology/approachA systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The data sources used were Scopus, PubMed and Google Scholar. The review identified peer-reviewed papers published in the English Language from January 2010 to April 2023, targeting well-defined implementation of EHRS with decision-support capabilities in healthcare. To comprehensively address the research question, we ensured that all potential sources of evidence were considered, and quantitative and qualitative studies reporting primary data and systematic review studies that directly addressed the research question were included in the review. By including these studies in our analysis, we aimed to provide a more thorough and reliable evaluation of the available evidence.FindingsThe findings suggest that the success of EHRS implementation is determined by organizational and human factors rather than technical factors alone. Successful implementation is dependent on a suitable implementation framework and management of EHRS. The review identified the capabilities of Clinical Decision Support (CDS) tools as essential in the effectiveness of EHRS in supporting decision-making.Originality/valueThis study contributes to the existing literature on EHRS implementation models and identifies successful models for decision support. The findings can inform future implementations and guide decision-making in healthcare facilities.

THE WESTERN LEGAL SYSTEM IN INDONESIAN CRIMINAL PROCEDURAL LAW REFORM: A GLOBALIZATION AND LEGAL POLITICS PERSPECTIVE

In the field of law, the influence of globalization is reflected in the legal politics of procedural law reform, which is currently still in the form of legislation draft. This study aims to analyze the influence of globalization on the reform of Indonesian criminal procedural law in relation to national legal politics. This research is normative legal research, which focuses on studying library materials. Based on the results of a comprehensive study is known, the Draft Criminal Procedure Code includes a new system originating from the western legal system such as adversary system in court trial. Adopting the adversary system into the Draft Criminal Procedure Code is a very revolutionary legal political reform of the criminal procedural law. Various challenges will be faced along with the adoption of the new legal system. Changes in the legal culture of law bearers is also a key variable in the success or failure of a western legal system implementation. Although the concept of the Criminal Procedure Code is colored by the western legal system, it does not conflict with national legal politics because it reflects universal legal principles, namely equality.

Promoting a thriving school community: Investigating the effectiveness of positive psychology interventions for improved teacher-student and staff relationships: A critical review

Promoting a thriving school community: Investigating the effectiveness of positive psychology interventions for improved teacher-student and staff relationships: A critical review

Fidelity and acceptability of implementation strategies developed for adherence to a clinical pathway for screening, assessment and management of anxiety and depression in adults with cancer

BackgroundImplementation strategies are crucial to facilitate implementation success. To prepare and support implementation of a clinical pathway for screening, assessment and management of anxiety and depression in cancer patients (the ADAPT CP), six broad categories of implementation strategies; (1) Awareness campaigns, (2) Champions, (3) Education, (4) Academic Detailing and Support, (5) Reporting, (6) Technological Support, were developed. The aim of this paper is to describe the fidelity and acceptability of six categories of implementation strategies and any subsequent changes/adaptations made to those strategies.MethodsThe ADAPT CP was implemented in twelve cancer services in NSW, Australia, as part of a cluster randomised controlled trial of core versus enhanced implementation strategies. Fidelity to and any subsequent changes to the delivery of the planned six categories of implementation strategies were captured using the ADAPT contact log, which recorded the contacts made between the ADAPT research team and services, engagement meetings and monthly meetings. To explore acceptability and awareness/engagement with the implementation strategies, interviews with a purposively selected staff sample across both study arms were held prior to implementation (T0), six months into implementation (T1) and at the end of the 12-month implementation period (T2). Interviews were thematically analysed across the six categories of strategies.ResultsDelivery of all six categories of implementation strategies as planned was moderated by service context and resources and staff engagement. As such, for some implementation strategies, subsequent changes or adaptations to the content, mode of delivery, frequency and duration such as abbreviated training sessions, were made to optimise fidelity to and engagement with the strategies. Most strategies were perceived to be acceptable by service staff. Use of strategies prior to implementation of the ADAPT CP such as the engagement meetings and training sessions, positively impacted on ownership and preparedness to implement the ADAPT CP. Furthermore, ongoing support such as provision of additional training or monthly meetings facilitated increased awareness and engagement with the ADAPT program.ConclusionFlexibility in delivering implementation strategies, and ensuring staff engagement with, and acceptability of those strategies, can support implementation of interventions within healthcare settings.Trial registrationThe ADAPT CRCT was registered prospectively with the ANZCTR on 22/3/2017. Trial ID ACTRN12617000411347. https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=372486&isReview=true

Implementation and use of the Safewards model in healthcare services: A scoping review.

Safewards is a multi-intervention mental health nursing model of practice improvement aimed at preventing and reducing conflict and containment. The use of Safewards has now extended beyond mental health settings. Implementation of Safewards has been reported to be challenging and therefore requires an evidence-informed and structured approach. This review's objectives were to: (i) Comprehensively map approaches used to implement Safewards interventions; (ii) Characterise the outcomes measured in Safewards implementation studies; and (iii) Identify the facilitators and barriers to Safewards training and its implementation in practice. All quantitative, qualitative and mixed-methods publications of Safewards, the interventions, evaluations, barriers and facilitators from all healthcare services internationally were included. The Joanna Briggs Institute scoping review and Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews were used to guide methodology. Data were reported according to the 12 items of the TIDieR. Twenty-seven publications reported the implementation of Safewards. Descriptions were limited for reporting items such as intervention descriptions, materials, resources, specific procedures and processes, modifications made to interventions and delivery of interventions and training. No consistent theoretical implementation framework was reported. Collaboration, leadership, feedback and co-design were strong drivers for staff buy-in, engagement and success for implementation in mental health and acute settings. Transparency, replicability and generalisation require a detailed description of all elements of an intervention being implemented. Without adequate information, only assumptions can be drawn about the clinical governance and process of the implementation and training, and it is difficult to conclude when attempting to replicate the interventions.

Evaluation of the Successful Implementation of the SIAK using the HOT-Fit Model

This study investigates the human, organizational, and technological aspects of successfully implementing the Population Administration Information System (SIAK) in Bone Bolango District, Gorontalo. This study adopted PLS-SEM to test the hypothesis model of the influence of the three aspects on the benefits obtained by users in using SIAK. The hypothesis model was tested on 122 respondents, including staff at the Population and Civil Registry Office of Bone Bolango Regency and SIAK operators at each village office in Bone Bolango Regency. The data has been validated using a measurement model to determine internal consistency reliability and convergent validity with Smart PLS. The results showed that system quality, information quality, and organizational structure positively affected SIAK's success. Meanwhile, system usage and user satisfaction still need to be improved. Human factors, such as user expertise and motivation, also significantly influenced the success of SIAK implementation. This study provides recommendations to improve the quality of user training, improve information technology infrastructure, and adjust the organizational structure to support SIAK implementation better. The findings of this study can serve as input for other local governments in optimizing SIAK implementation in their respective implementing units.

Project ECHO®: a global cross-sectional examination of implementation success

BackgroundOrganizations implement innovations to disrupt the status quo and create value. Within sectors such as healthcare, innovations need to navigate large scale system and organizational factors to succeed. This research explores the implementation of a global innovation– Project ECHO®. Project ECHO® is a validated virtual communities of practice model organizational teams implement to build workforce capacity and capability. Project ECHO® has experienced broad global adoption, particularly within the healthcare sector, and is experiencing growth across other sectors. This study sought to examine the state of implementation success for Project ECHO® globally, to understand how these implementations compare across geographic and sectoral contexts, and understand what enablers/barriers exist for organizational teams implementing the innovation.MethodsAn empirical study was conducted to collect data on 54 Project ECHO® implementation success indicators across an international sample. An online survey questionnaire was developed and distributed to all Project ECHO® hub organizations globally to collect data. Data was analyzed using descriptive statistics.ResultsThe 54 implementation success indicators measured in this survey revealed that the adoption of Project ECHO® across 13 organizations varied on a case-by-case basis, with a strong rate of adoption within the healthcare sector. Implementation teams from these organizations successfully implemented Project ECHO® within 12–18 months after completing Immersion partner launch training and operated 51 ECHO® Networks at the time of data collection. Implementation teams which liaised more regularly with ECHO® Superhub mentors often went on to launch a higher number of ECHO® Networks that were sustained over the longer term. This suggests that these implementation teams better aligned and consolidated their Project ECHO® pilots as new innovations within the local context and strategic organizational priorities. Access to research and evaluation capability, and a more automated digital client relationship management system were key limitations to showcasing implementation success outcomes experienced by the majority of implementation teams.ConclusionsThese findings make a valuable contribution to address a knowledge gap regarding how a global sample of organizations adopting Project ECHO® measured and reported their implementation successes. Key successes included pre-launch experimentation and expansion, Superhub mentorship, stakeholder engagement, and alignment to strategic priorities.

Evaluation of The Success of Using a SAP-Based ERP System With Theory of Planned Behavior (TPB) Model

PT. XYZ has implemented System Application and Product in data processing (SAP) software to support business processes in the company. The success or failure of system implementation can be assessed from non-technical aspects, namely that users can accept and use the SAP system well. The aim of this research is to evaluate the use of SAP software through Theory of Planned Behavior (TPB) modeling. Attitudes, subjective norms, perceived behavioral control, behavioral intentions, and behavior are the variables used in this modeling. This TPB modeling explains the factors that influence an individual's interest and behavior in using SAP software. An individual's intention to use SAP software is influenced by attitudinal variables, perceived behavioral control, and subjective norms, while a person's influence to use SAP software is influenced by intention. This type of research is quantitative research through data collection using a questionnaire with 30 respondents coming from SAP users at PT. XYZ. Data analysis was carried out using the SmartPLS application. The results obtained are that attitudes have a positive and significant effect on behavioral intentions, behavioral intentions have a positive and significant effect on behavior, subjective norms have a positive and significant effect on behavioral intentions, and perceived behavioral control has a negative effect on behavioral intentions in using SAP software.

Approximate Dynamic Programming for Control of Wave Energy Converters With Implementation and Validation on a Point Absorber Prototype

It is recognized that the application of constrained optimal control for wave energy converters (WECs), represented by model predictive control (MPC), is hindered by its computation burden resulting from online optimization, especially when the model contains nonlinearities. In this article, a novel control solution based on approximate dynamic programming (ADP) is proposed, in which an explicit controller is solved by model sampling and neural network training. In this way, the major computation load is moved offline to enable fast online execution, and the need for wave prediction is eliminated. The effectiveness of ADP is verified by a simulation case study based on a nonlinear WEC system. Using nonlinear MPC as the performance benchmark, over 90% energy efficiency is achieved by ADP under various sea states with constraint satisfaction and dramatically faster computation. The ADP controller is further experimentally validated on a newly constructed WEC prototype through wave tank testing, where successful implementation and satisfactory performance are demonstrated.

Synchronous Diagnosis of Diabetic Retinopathy by a Handheld Retinal Camera, Artificial Intelligence, and Simultaneous Specialist Confirmation

PurposeDiabetic retinopathy (DR) is a leading cause of preventable blindness, particularly in underserved regions where access to ophthalmic care is limited. This study presents a proof of concept for utilizing a portable handheld retinal camera with an embedded artificial intelligence (AI) platform, complemented by a synchronous remote confirmation by retina specialists, for DR screening in an underserved rural area. DesignRetrospective cohort study Subjects1,115 individuals with diabetes. MethodsA retrospective analysis of a screening initiative conducted in four municipalities in Northeastern Brazil, targeting the diabetic population. A portable handheld retinal camera captured macula-centered and disc-centered images, which were analyzed by the AI system. Immediate push notifications were sent out to retina specialists upon the detection of significant abnormalities, enabling synchronous verification and confirmation, with on-site patient feedback within minutes. Referral criteria were established, and all referred patients underwent a complete ophthalmic work-up and subsequent treatment. Main outcome measuresProof-of-concept implementation success. ResultsOut of 2,052 invited individuals, 1,115 participated, with a mean age of 60.93 years and diabetes duration of 7.52 years, of whom 66.03% were women. The screening covered 2,222 eyes, revealing various retinal conditions. Referable eyes for DR were 11.84%, with an additional 13% for other conditions (diagnoses included various stages of DR, media opacity, nevus, drusen, enlarged cup-to-disc ratio, pigmentary changes, and other). AI performance for overall detection of referable cases (both DR and other conditions) was: sensitivity- 84.23% (95% CI- 82.63-85.84), specificity- 80.79% (95% CI- 79.05- 82.53). When we assessed whether AI matched any clinical diagnosis, be it referable or not, sensitivity was 85.67% (95% CI- 84.12-87.22), specificity was 98.86 (95% CI- 98.39-99.33), and AUC was 0.92 (95% CI- 0.91-0.94). ConclusionsThe integration of a portable device, AI analysis, and synchronous medical validation has the potential to play a crucial role in preventing blindness from DR, especially in socially unequal scenarios.

A thermoplastic clay constitutive model with temperature dependent evolution of stress anisotropy

This paper presents a thermomechanical constitutive model that captures temperature dependent evolutions of preconsolidation stress and stress anisotropy in normally consolidated and lightly overconsolidated saturated clays. Following a non-associative flow rule, the model was formulated to account for the rate of evolution of stress anisotropy as a function of temperature. A temperature-dependent rotational hardening parameter was introduced and calibrated employing a simple optimization algorithm for four different clays. The developed model was further implemented in a finite element (FE) analysis software for use in boundary value problems. Success of such numerical implementation and predictive performance of the constitutive model was further verified through FE simulations of drained and undrained triaxial tests on saturated clays at reference and elevated temperature. FEA results obtained from these simulations agreed very well with test data reported in the literature.

IT’S NEVER TOO LATE TO START: A CASE FOR PREVENTATIVE OUTPATIENT GERIATRIC SERVICES

INTRODUCTION & AIMS The population is ageing and the chronic disease burden growing, seeing more older adults present to hospital with preventable non-communicable diseases. Multidisciplinary outpatient teams are well placed to manage modifiable risk factors to prevent disease progression and hospitalisations. A preventative service was launched at Concord Hospital integrating geriatrician, exercise physiologist and dietitian care to optimise the physical and mental health of older adults with chronic disease and frailty. This evaluation aims to determine the success of service implementation and feasibility of the model. METHODS Between November 2022 and June 2023, 59 patients (mean age 80.2 years (SD 6.2), 47.5% female) completed 12-weeks of concurrent exercise and diet interventions with medical oversight. Patients were assessed pre- and post-interventions. Exercise was individualised and multimodal, performed twice weekly in a supervised group. Diet was individualised with a protein supplement prescribed as appropriate. The outcomes measured were Fried Frailty Phenotype (FFP), leg strength (one repetition maximum leg press), Short Physical Performance Battery (SPPB), Geriatric Depression Scale Short Form (GDS), and Mini Nutritional Assessment Long Form (MNA). Service activity was measured monthly via rate of referral and occasions of service (OOS). Data were analysed using JASP (v.0.18.1). RESULTS Monthly rate of referral and OOS increased from 18 to 51 patients and 49 to 479 occasions respectively, indicating service demand. After 12-weeks there were significant improvements in FFP (mean difference [95%CI] -0.4 [-0.7, -0.2] points), leg strength (34.0 [27.1, 40.8] kilograms), SPPB (1.1 [0.8, 1.5] points), GDS (-1.4 [-2.2, -0.6] points) and MNA (2.6 [1.6, 3.5] points), with no effect of sex observed. CONCLUSION Initial implementation of a preventative outpatient geriatric service was successful with increasing service demand and significant physical and mental health improvements. The service model is feasible; however, further evaluation is required to determine outcomes after continued service provision.

The 85-electrode adaptive optics system of the Swedish 1-m Solar Telescope

We discuss the chosen concepts, detailed design, implementation and calibration of the 85-electrode adaptive optics (AO) system of the Swedish 1-meter Solar Telescope (SST), which was installed in 2013. The AO system is unusual in that it uses a combination of a monomorph mirror with a Shack-Hartmann (SH) wavefront sensor (WFS) and a second high-resolution SH microlens array to aid the characterization, calibration, and modal control of the deformable mirror. An Intel PC workstation performs the heavy image processing associated with cross-correlations and real-time control at a 2 kHz update rate with very low latency. The computer and software continue the successful implementation since 1995 of earlier generations of correlation tracker and AO systems at SST and its predecessor, the 50-cm Swedish Vacuum Solar Telescope, by relying entirely on work-station technology and an extremely efficient algorithm for implementing cross-correlations with the large field of view of the WFS. We describe critical aspects of the design, calibrations, software, and functioning of the AO system. The exceptionally high performance is testified through the highest Strehl ratio (inferred from the measured granulation contrast) of existing meter-class solar telescopes, as demonstrated here at wavelengths shorter than 400 nm and discussed in more detail in a previous separate publication We expect that some aspects of this AO system may also be of interest outside the solar community.

Implementation of the policy of equalizing the position of administrator into functional in Gorontalo City Government

The implementation of PermenPAN-RB policy number 17 of 2021 concerning the equalization of administrative positions into functional positions has been implemented by the Gorontalo City Government. This study aims to determine how the implementation of this policy and the factors that determine the success of policy implementation within the Gorontalo City Government. This research is a qualitative descriptive with research locations at the Gorontalo City Staffing, Education and Training Agency (BKPP) and the Organization and Governance Section of the Gorontalo City Regional Secretariat from September to November 2023. Data collection techniques in the form of observation, interviews and documentation. The results of the study found that policy implementation has been running at the planning, supervision and policy evaluation stages, but has not been optimal at the policy implementation stage. The determining factors for the success of policy implementation based on aspects of communication, resources, disposition (attitude of implementers) and bureaucratic structure are still not optimal. The communication aspect has not been effective both in the aspects of transmission, clarity and consistency. The resource aspect has not been effective on human resources, budget resources, equipment resources. The disposition/attitude aspect of the executor has been effective. The aspect of bureaucratic structure is influenced by other factors, namely communication factors, making this factor less efficient.