Effective Implementation Research Articles

Advanced fluorescence-based determination of carboplatin, a potent anticancer agent, with tripeptide-functionalized copper nanoclusters

This study introduces a straightforward photoluminescence sensor strategy employing copper nanoclusters stabilized with glutathione (GSH-CuNCs) to determine Pt-containing anticancer drug carboplatin. The interaction between the probe and carboplatin relies on the high affinity between the SH group on the surface of GSH-CuNCs and platinum (Pt) of the carboplatin. This interaction enhances the emission of nanoclusters via aggregation process. The fluorescence signal of GSH-CuNCs at 620 nm demonstrated a linear increase with carboplatin concentration within the range of 0.5–70 µg mL−1 after excitation at 380 nm. Based on a signal to noise = 3, the detection limit (LOD) was calculated as 150 ng mL−1, signifying the sensitivity of the fluorometric probe. In addition, the probe exhibited good selectivity against potential interfering species. The viability of the approach was illustrated by its effective implementation on human serum samples containing carboplatin. This research significantly contributes to developing a simple and effective sensor for monitoring Pt-containing anticancer drugs during chemotherapy.

Curriculum implementation: Challenges and the prospect of education resource centres to aid effective implementation

This paper delves into the challenges impeding effective curriculum implementation in Nigerian higher education institutions, ranging from inadequate funding to a brain-drain crisis. Recognizing the critical role of curriculum implementation in achieving national educational objectives, the study identifies these barriers highlighted concerning the misalignment between intended and implemented curricula, underscoring the need for strategic solutions. The paper then explores the prospects of Educational Resource Centres (ERCs) as catalysts for addressing these challenges. ERCs are portrayed as multifaceted entities capable of alleviating heavy academic loads, compensating for limited school facilities, and fostering inclusive education. The discussion emphasizes the alignment of ERCs with curriculum support, the provision of multimedia resources for diverse learning styles, and the pivotal role in dynamic instruction through advanced teaching aids. Furthermore, ERCs are seen as pivotal in providing educational support services, offering professional development opportunities for educators, and facilitating teachers' involvement in curriculum planning. It concludes by asserting the indispensable role ERCs play in reshaping the landscape of education, ensuring a future where curriculum implementation is not just a challenge but a collaborative journey that aids effective implementation which fosters achieving curriculum objectives that translate to attaining national developmental targets.

Ethical, legal, and information management aspects in the context of patient safety

Health systems around the world currently generate diverse health data related to their patients; their potential for use in the routine of health professionals is recognized; however, at the same time, patient safety is also widely discussed since, over the years, the patient's electronic medical record absorbs sensitive information, accumulated over time. In this sense, this study aimed to address ethical, legal, and information management aspects in the context of patient safety. This is a scoping review, conducted based on the methodological structure developed by the Joanna Briggs Institute and the checklist Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews, set in five stages: 1) identification of the research question, 2) bibliographic survey to search for relevant studies, 3) selection of studies, according to the criteria defined in this review, 4) data mapping and 5) presentation of results. The results showed that a) the articles, in general, pay much attention to patient safety, both in terms of data and also in terms of health; b) International patient safety goals were created to standardize care in private and public hospitals, c) The articles address patient safety by international patient safety goals and d) information leakage is becoming increasingly common, and actions are needed to minimize these situations. The conclusion shows that there is a lack of objective studies regarding the use of information technology in patient safety and that, due to the importance of these topics, both in public health and economic issues, more studies are necessary for an effective implementation that can generate practical results to patients and the country's healthcare system.

Understanding experiences of cognitive decline and cognitive assessment from the perspectives of people with glioma and their caregivers: A qualitative interview study

BackgroundDespite the impact of cognitive decline during brain cancer care, implementing routine cognitive assessment can be challenging. Effective implementation of cognitive assessment necessitates an understanding of implementation from the patient perspective. However, little is known about how people with glioma and their caregivers experience cognitive changes, assessment and support. ObjectiveTo understand the lived experiences of changes in cognition for people with glioma and their caregivers including experiences of: i) perceived or objectively measured cognitive decline (or absence of decline); ii) cognitive assessment following diagnosis, and; iii) met and unmet cognition-related supportive care needs. DesignSemi-structured qualitative telephone interviews were conducted with people with gliomas and support persons and analysed using reflexive thematic analysis. Setting(s)Two Australian cancer services Participants18 people with glioma and caregivers MethodsSemi-structured qualitative telephone interviews were conducted with people with gliomas and caregivers and analysed using reflexive thematic analysis. ResultsPeople with glioma (n = 5) and caregivers (n = 13) completed interviews. Four themes were identified: Cognition needs to be considered within the context of glioma diagnosis and treatment; concerns about cognition were initially subordinate to survival but become important; there are challenges identifying and communicating about people with gliomas’ changes in cognition; cognition-related supportive care can be helpful but challenging for people with glioma and caregivers to identify and access. ConclusionsChanges to cognition can have considerable impacts of people with glioma and their caregivers which may be overshadowed by treatment and survival. A multi-disciplinary approach to timely cognitive screening, structured referral pathways, and communication with caregivers may provide opportunities for support. Registrationn/a Tweetable abstractIdentifying cognitive changes in people with glioma is important and challenging. A multidisciplinary approach and inclusion of care coordination and caregivers can help.

Challenges and Solutions in English Language Teaching (ELT) in Rural Settings: A Case Study in India

Language plays a crucial role in communication, shaping individuals' thoughts, emotions, and perspectives. English, as one of the most extensively spoken languages globally, holds significant importance, especially as a second language in India. The effective application implementation of English language curriculum at the primary level is paramount for fostering English language proficiency, especially in rural areas. However, the effective implementation of English Language Teaching (ELT) curriculum at the primary level faces considerable challenges in rural settings. In rural areas of India, ELT encounters formidable obstacles rooted in psychological, linguistic, institutional, and environmental factors. These challenges are compounded by historical and economic disparities, resulting in limited access to educational resources and a scarcity of proficient English teachers. Additionally, the absence of conducive learning environments and inadequate teacher preparation further impedes effective English language education. This research paper endeavours to address the myriad challenges confronting ELT in rural regions of India. Drawing from a case study approach, it aims to identify specific issues such as resource scarcity, teacher training deficiencies, and the lack of conducive learning environments. Furthermore, the paper proposes pragmatic solutions to overcome these obstacles and transform the rural educational landscape into a dynamic and enriching atmosphere for English language learning. This research analyses difficulties and potential solutions to improve English language instruction in rural areas. By highlighting the importance of addressing these challenges and implementing effective strategies, the paper aims to foster English language proficiency among rural students, thereby empowering them with enhanced communication skills and broader educational opportunities.

Intelligenza Artificiale per la cura del diabete mellito: opportunità e prospettive future

Diabetes mellitus is globally prevalent, with the International Diabetes Federation predicting 783 million cases by 2045. Type 2 diabetes (T2DM) is the seventh leading cause of death and poses a significant economic burden on global healthcare, demanding innovative approaches amid resource constraints. Moreover, the increasing volume of data requires advanced computational tools for analysis and therapeutic decision support. Digital technologies, particularly artificial intelligence (AI), offer promising solutions. AI, capable of complex tasks like reasoning and language recognition, leverages digitalization in diabetes care, handling electronic health records, imaging diagnostics, and laboratory data. Machine learning, an advanced form of AI, outperforms traditional data analysis by automatically identifying patterns and generating predictions without specific programming. Emerging technologies utilizing natural language processing and machine learning accelerate the digital transformation, enhancing cognitive capabilities. AI applications in diabetes span screening, classification, and therapy management. Predictive models utilizing machine learning algorithms achieve high accuracy in early diabetes risk identification and aids in understanding T2DM heterogeneity, crucial for precision medicine initiatives. Diagnostic AI tools, particularly for retinopathy, neuropathy, and diabetic foot, enhance accessibility and clinical decision-making. AI’s role extends to predicting and preventing complications, such as ulcers and hypoglycemic events. Challenges include data privacy concerns, algorithmic bias, and the need for transparent decision-making processes. Rigorous optimization of AI data inputs is crucial to avoid misleading outputs. While AI offers tremendous benefits, ethical considerations, regulatory frameworks, and human oversight remain critical for responsible and effective implementation in diabetes care.

Strategi Upaya Pencegahan Defisit Perawatan Diri Pada ODGJ Di Pasar Minggu Kelurahan Belakang Pondok Kecamatan Ratu Samban Kota Bengkulu

Mental health disorders are health disorders that cause psychological behavioral disorders due to disturbances in social, psychological, hereditary, physical, chemical and biological functions. Self-care deficit is a condition where sufferers experience problems with their ability to carry out or complete self-care activities such as bathing, dressing, eating and toileting. The aim of this community service is to provide effective implementation of SPTK in improving self-care and quality of life for ODGJ. The method used is the implementation of SPTK for ODGJ with self-care deficits. This activity was carried out at Pasar Minggu, Behind Pondok sub-district, Ratu Samban sub-district, Bengkulu City. Meanwhile, this research was carried out on Monday 30 October 2023. After carrying out this activity, ODGJ can find out how to care for personal hygiene and nail care and know how to do it independently. The conclusion of this activity is that strategies for preventing self-care deficits in people with homeless mental disorders need to be developed and implemented holistically by involving various related parties.

A daily time-step hydrological-energy-biomass model to estimate green roof performances across Europe to support planning and policies

Nature-based solutions (NBSs) and urban greening are well-established strategies used in various planning and policy instruments to promote the sustainability of cities and mitigate the effects of climate changes. Within this context, green roofs are emerging as an effective NBS in urban areas where space is often limited. The estimation of green roofs' benefits is essential for their effective implementation and engineering design. In this contribution, we present a daily time-step model to estimate the surface temperature, the growth of vegetation cover and the hydrological behaviour of a green roof. The model is tested using twenty time series of real and independent European green roofs. Results show that, in the absence of calibration, the model can reproduce the daily surface temperature with high accuracy. The vegetation growing period is also reproduced. The hydrological variables can be estimated with moderate accuracy, and higher accuracy can be achieved when the model is calibrated. Therefore, the model proves a useful tool to support the appraisal of green roofs and the planning of green infrastructures in European cities.

Integration of LMD System in the Democratic Republic of Congo: Challenges and Prospects

This paper focus on the integration of LMD system (Bachelor's, Master's, Doctorate) in the Democratic Republic of Congo, it shpuld be noted that the LMD system in DRCongo has been a significant process in the higher education sector. This change was put in place to align education levels with international standards and promote student mobility and academic qualifications globally. The reform involved the adoption of new curricula based on the LMD structure, with particular attention paid to the professionalization of higher education and the alignment of curricula with the needs of the labor market. In addition, the introduction of the LMD system has also encouraged the development of research and innovation, as well as the creation of closer links between higher education institutions and the private sector. However, despite these advances, challenges remain, particularly with regard to institutional capacity, financial resources, and the need to ensure the quality and relevance of curricula. In summary, the integration of the LMD system in the Democratic Republic of Congo represents an important step towards improving higher education, but its long-term impact will depend on the ability to address the ongoing challenges and ensure effective and balanced implementation across the country.

Influence of Stakeholder Engagement on Strategy Implementation in Selected Nigerian Government Agencies

Effective strategy implementation has remained a huge challenge in Nigerian Government Agencies. This study investigates stakeholder engagement practices across Nigerian government agencies to evaluate their impact on strategy implementation effectiveness. The research focuses on four key dimensions: Effective Communication, Stakeholder Inclusiveness and Diversity, Mechanisms of Stakeholder Engagement, and Stakeholder Satisfaction, specifically assessing their influence on resource allocation. Using a descriptive survey design, three pivotal government agencies INEC, the Central Bank of Nigeria, and the Nigerian Electricity Regulatory Commission were purposively selected. Data was collected from 384 respondents, and multiple regression was used in the analysis. Findings reveal that transparent internal communication significantly influences increased resource allocation (B = 0.558, p < 0.005). Moreover, agencies incorporating diverse stakeholder input observe larger allocations to strategic priorities (B = 0.083, p = 0.005). Also, Mechanisms of stakeholder engagement (B = 0.101, p < 0.005) exhibit significant positive relationship. Equally, higher satisfaction among stakeholders correlates with greater deployment of resources (B = 0.205, p < 0.005). The study recommends that Nigerian government agencies enhance internal communication, promote inclusive stakeholder engagement, and refine resource allocation strategies. Emphasizing diverse perspectives and stakeholder satisfaction is crucial, while investments in organizational and management capacities alongside technical planning can solidify agencies' effectiveness in securing resources for proactive strategic changes.

Venomous snakebites: Exploring social barriers and opportunities for the adoption of prevention measures

AbstractNegative interactions between humans and venomous snakes are increasing, with the World Health Organization committed to halving snakebite deaths and disabilities by 2030. Evidence‐based strategies are thus urgently required to reduce snakebite events in high‐risk areas, while promoting snake conservation. Understanding the factors that drive the adoption of snakebite prevention measures is critical for the effective implementation of snakebite management strategies. We conducted in‐person questionnaires (n = 535 respondents) with rural agricultural communities within the Thiruvarur District of Tamil Nadu, India, a national snakebite hotspot. Using a health belief model framework, we explored current snakebite prevention measures and factors impacting their adoption. The majority of respondents reported using multiple snakebite prevention measures. Perceived self‐efficacy and perceived risk frequency of snakebites were important overall predictors of future adoption, whereas education, gender, relative wealth, and current adoption were important for specific measures. Achieving international commitments to support human–snake coexistence will require collective and collaborative action (e.g., governments, donor agencies, civil society organizations, researchers, and communities) underpinned by behavioural insights and context‐specific solutions.

Investigation and development of scheduling and networking technologies for small cells based on optical transmission networks

In addition to the power dispatching department, other related departments and management agencies are also interested in power grid data. These developments coincide with an increase in the number of plants and stations, a dramatic increase in the amount of power system data, and an increase in the difficulty of managing and analyzing the data. Thus, a key area of current power information system research is how to analyze and process the massive amounts of grid operation data to guarantee the safe and effective implementation of power production while also being able to support decision-making for power production and power scheduling. In light of this, this paper builds a complete number distribution system on top of the current scheduling program-controlled exchange, hoping to inherit the high reliability and stability of the scheduling switching network. It also introduces the IPoE technology networking and offers a technical foundation for the state management of the equipment. Finally, it uses the optical transmission network scheduling telephone networking technology as its foundation, based on a thorough analysis of the current state of the domestic power dispatching management system. In order to improve the quality of power grid management, it is helpful in the development of an organic and unified integrated intelligent system, the creation of an ideal and seamless information flow, and the eventual realization of the integration and standardization of the production plan, the production process, and the sale of electricity.

Deep learning-based air pollution analysis on carbon monoxide in Taiwan

Global air pollution poses a threat to humanity. Specifically, CO directly affects cardiovascular and other organ tissues and leads to numerous chronic diseases and major public health problems. The effective implementation of a deep learning model for predicting variations in CO levels would enable the early formulation of policies for controlling air pollution. In this study, a seasonal gated recurrent unit (SGRU) model, which is a deep learning time-series prediction model, was developed to predict the levels of CO in Taiwan. Atmospheric CO measurements from 2005 to 2021 were collected from the Environmental Protection Administration of Taiwan and preprocessed using the Kalman filter to achieve accurate forecasting. The performance of the proposed SGRU model was compared with that of the autoregressive integrated moving average (ARIMA), seasonal ARIMA, exponential smoothing (ETS), Holt–Winters ETS, support vector regression, and seasonal long short-term memory models in terms of mean absolute percentage error (MAPE) and root mean square error. The SGRU model achieved the lowest MAPE value of 0.94, which demonstrated its superior performance. The construction of an accurate air pollution prediction model can assist government entities in formulating health and social care strategies and in planning future air pollution control measures.

Investigating the Determinants of the Innovation Adoption for Continuous Improvement in a Teacher-Training Institution: Evidence from the COVID-19 Period

We are living in an ever-changing world. The changes in science, technology and economics constantly impact areas closely related to human life, such as education and health. Organisations must rely on innovation to remain relevant and effective in a constantly evolving society. Educational institutions, namely schools, colleges or even training institutions, contribute to product innovation when they produce new and significantly different products and services such as new syllabi, new resources or new educational experiences like e-learning. They carry out process innovation when they bring about significant changes in how they provide their service, for instance, changes in the way their teachers work together, communicate with parents or offer services in collaboration with other institutions. With the onset of the medical catastrophe of COVID-19 and the pandemic thereafter, the education sector plunged itself into adapting to the use of technology to keep its service functional, albeit with significant challenges faced in its effective implementation. In this article, the focus is on studying technology implementation in an early childhood care teacher-training institute to establish service innovation in education in the post-pandemic era. Multiple perspectives were derived from all the stakeholders, such as student-teachers, teacher educators and heads of schools (as future employers) regarding teacher preparedness and student-teacher readiness. The inputs helped us to develop the conceptual model for future teaching-learning. The conceptual model A.D.O.P.T. (Act with growth mindset, Deliver Quality, Open to Adaptation, Prioritize with Precision, Team Engagement) highlights how the stakeholders move from makeshift ‘jugaad’ innovation to sustainable development of the educational system through grassroots innovation.

Decoding the shared pathways of consumer technology experience in hospitality and tourism: A meta-analysis

This research presents a comprehensive analysis of significant factors shaping consumer technology adoption and experiences in the hospitality and tourism sector. Technology-related research papers from top hospitality and tourism journals published from 2000 to 2021 were reviewed and analyzed via both qualitative and quantitative approaches. The qualitative thematic analysis offers a synthesized summary of the evolving research themes over the two decades. The quantitative meta-analysis supports our proposed conceptual model of factors influencing consumers' technology adoption and experiences in the hospitality and tourism context. Our findings not only advance the theoretical framework of technology adoption and experiences but also provide valuable managerial guidance for effective technology implementation. Moreover, we propose promising research avenues to enhance user experiences with diverse service technologies, fostering continued theoretical development in this field.

Athletes’ psychodiagnostics as one of the stages of patient-centeredness

The article talks about the impor tance of psychological suppor t in children's and youth sports. Target. Conducting psychodiagnostics of athletes of childhood and adolescence in order to formulate psychological and pedagogical recommendations, planning and more effective implementation of a system of influence on the athlete. Results. Recommendations are formulated, including the formation of positive thinking, the formation of motivation, training in relaxation techniques, training in mental self-regulation (auto-training), regulation from outside (recommendations for a coach, parents). Conclusion. In modern sports, the psychological stress is very high. The need for athletes to constantly overcome great physical and mental stress is associated with increased neuropsychic activity and emotional stress.

Highly deformable and strongly magnetic semi-interpenetrating hydrogels based on alginate or cellulose

The effective implementation of many of the applications of magnetic hydrogels requires the development of innovative systems capable of withstanding a substantial load of magnetic particles to ensure exceptional responsiveness, without compromising their reliability and stability. To address this challenge, double-network hydrogels have emerged as a promising foundation, thanks to their extraordinary mechanical deformability and toughness. Here, we report a semi-interpenetrating polymer networks (SIPNs) approach to create diverse magnetic SIPNs hydrogels based on alginate or cellulose, exhibiting remarkable deformability under certain stresses. Achieving strong responsiveness to magnetic fields is a key objective, and this characteristic is realized by the incorporation of highly magnetic iron microparticles at moderately large concentrations into the polymer network. Remarkably, the SIPNs hydrogels developed in this research accommodate high loadings of magnetic particles without significantly compromising their physical properties. This feature is essential for their use in applications that demand robust responsiveness to applied magnetic fields and overall stability, such as a hydrogel luminescent oxygen sensor controlled by magnetic fields that we designed and tested as proof-of-concept. These findings underscore the potential and versatility of magnetic SIPNs hydrogels based on carbohydrate biopolymers as fundamental components in driving the progress of advanced hydrogels for diverse practical implementations.

Participatory planning to conserve freshwater ecosystems in the Rift Valley Lakes Basin, Ethiopia

Freshwater ecosystems are important for directly ensuring a range of benefits and services that sustain local livelihoods and help mitigate climate change. However, freshwater ecosystems are threatened by anthropogenic and natural pressures affecting their ability to sustainably provide these services. Managing freshwater ecosystems is mainly challenged by the complexity of the drivers of their degradation and by the difficulty of balancing the need for short-term socioeconomic development and protecting and restoring ecosystems to support long-term, sustainable development. Addressing such challenges requires an integrated and systematic approach, catchment-wide management and meaningful engagement and collaboration among stakeholders. The present study was conducted in Lake Ziway, Rift Valley Lakes Basin, Ethiopia. The overarching objective was to conserve the freshwater ecosystem through co-planning and designing management options for the buffer zone and entire catchment. The study engaged local communities through multiple approaches including inception and validation workshops, reconnaissance surveys, key informant interviews and focus group discussions. It also employed quantitative data collection methods to characterize the freshwater ecosystem and entire catchment. The participatory approach employed in this study identified multiple management options including tree-based forest and landscape restoration measures, integrated soil and water conservation, and multiple buffer zone restoration measures. The identified and validated management options are aimed at improving the functionality of the freshwater ecosystem in the face of increased need of economic development and climate change. Furthermore, the study provided key recommendations to support the processes of policy development and the effective implementation of suggested and validated management options.

Innovative Approaches to Monitor Central Line Associated Bloodstream Infections (CLABSIs) Bundle Efficacy in Intensive Care Unit (ICU): Role of Device Standardized Infection Rate (dSIR) and Standardized Utilization Ratio (SUR)-An Italian Experience.

In several settings, the COVID-19 pandemic determined a negative impact on the occurrence of healthcare-associated infection, particularly for on central lines associated bloodstream infections (CLABSI). In our setting, we observed a significant increase in CLABSI in our intensive care unit (ICU) during 2020 and 2021 vs. 2018 to 2019. A refresher training activity on central venous catheter (CVC) management bundles was carried out in September-October 2021 for the ICU health staff. We assessed the impact of bundle implementation by means of standardized indicators, such as the Device Utilization Ratio (DUR), in this case, the Central Line Utilization Ratio, the Standardized Utilization Ratio (SUR), and the device Standardized Infection Ratio (dSIR). Standardized ratios for device use and infection ratio were computed using data from 2018 and 2019 as expectation data. After bundle implementation, we observed a significant reduction of dSIR (p < 0.001), which dropped from 3.23 and 2.99 in the 2020-2021 biennium to 1.11 in 2022 (CLABSI in the first quarter only); no more CLABSI were observed afterwards. Standardized ratios proved helpful in identify increasing trends of CLABSI in the ICU and monitoring the impact of a simple effective tool, i.e., training on and implementation of a bundle for CVC management.

Extending the Reporting Items of Practice Guidelines in Healthcare (RIGHT) statement for reporting Chinese patent medicine guidelines: a protocol

Background: Based on the main document of the Reporting Items of Practice Guidelines in Healthcare (RIGHT) statement, this study will aim to develop the reporting checklist applicable to the guidelines of Chinese patent medicine (CPM). Methods: According to the methodology recommended by the Enhancing the QUAlity and Transparency Of health Research (EQUATOR) network, three well-defined working groups were established, namely the coordination team, the advisory group, and the Delphi panel. The coordination team conducted a literature analysis of the already published CPM guidelines, the extensions of the RIGHT statement, and CPM related reporting specifications to initially form an initial item pool. The Delphi panel of multidisciplinary backgrounds will conduct two rounds of Delphi questionnaires to identify an extension item for RIGHT for CPM. These questionnaires will be sent to each Delphi panel member via email, and each member will independently fill out and provide comments within 10 working days of receiving the questionnaire. Finally, feedback will be provided to the coordination team and the post efficacy assessment of the already published clinical practice guidelines for CPM to determine the final items for RIGHT for CPM checklist. Dissemination: The extended version of the RIGHT for CPM checklist will be published in a peer reviewed journal. Conclusion: We hope that the upcoming RIGHT for CPM checklist provides detailed guidance for developers and users of CPM guidelines, further improving the quality of reports, and promoting the effective dissemination and implementation of CPM guidelines.