Implementation Of System Research Articles

Hidden complex multistable dynamical analysis and FPGA implementation of integer-fractional order memristive-memcapacitive chaotic system

Abstract A chaotic circuit based on a magnetic-controlled memristor and charge-controlled memcapacitor is proposed in this paper. The study reveals that it is a hyperchaotic system with hidden characteristics in integer-order. Furthermore, as the parameters change, the attractors exhibit rich evolutionary phenomena. Even after adjusting some parameters to very large values, the system still maintains hyperchaotic behavior. Interestingly, the basin of attraction shows the multistability of the system. Under initial value control, coexisting attractors are categorized into two types: those with initial offset-boosting behavior and nested attractors. When under parameter control, coexisting attractors are divided into two types: symmetric coexisting attractors and nested coexisting attractors. By analyzing the spectral entropy (SE) complexity of the system and using a complexity distribution diagram with two parameters and two initial values, the existence of multiple complex dynamic behaviors in the system has been verified. The fractional-order memristive-memcapacitive system based on the Grunwald-Letnikov algorithm and the five fractional-order values of q i (i = 1, 2, 3, 4, 5) are taken as different in the numerical simulation, it also displays multiple coexisting phenomena similar to those of the integer-order. Finally, Matlab/Simulink and DSP Builder software platform are used to design the fractional-order five-dimensional chaotic memristive-memcapacitive system, and then combined with VHDL and Verilog HDL hardware language, the proposed circuit system is verified on the EP4CE115F29C7 FPGA main chip of Cyclone IV E series. The consistency of hardware implementation and software simulation shows the correctness and feasibility of the design.

IMPLEMENTASI SISTEM PEMBELAJARAN EFEKTIF SEBAGAI STRATEGI PENGUATAN PROFESIONALISME GURU DALAM ERA DIGITAL

This research aims to analyze teacher professionalism strengthening through the implementation of effective learning systems. Using a mixed-method approach, the study was conducted on 100 teachers selected through purposive sampling. Data collection included questionnaires, in-depth interviews with 20 teachers, learning observations, and focus group discussions. The results showed significant improvements in teacher competencies: pedagogical (25%), professional (28%), learning technology utilization (35%), and evaluation skills (30%). The implementation of effective learning systems positively impacted student learning motivation (75%) and learning outcomes (68%). Key supporting factors included policy support and availability of continuous professional development programs, while inhibiting factors included administrative burden and limited technology access. The teacher professionalism strengthening program proved effective in improving learning quality, although it still requires strengthening of the mentoring system and development of digital learning platforms..

Automated Inventory Management Systems with IoT Integration to Optimize Stock Levels and Reduce Carrying Costs for SMEs: A Comprehensive Review

Automated inventory management systems integrated with Internet of Things (IoT) technology represent a transformative approach for Small and Medium-sized Enterprises (SMEs) in optimizing their stock levels and reducing carrying costs. A literature review also shows that there is progress in developing automated solutions, such as IoT sensors, real- time data analytics, and cloud-based applications that improve inventory control. A study shows that the adoption of IoT in automation has seen improvement in the accuracy of inventory, a reduction in stockouts, and carrying costs among SMEs. Research suggests operational improvements including reduced downtime from real time tracking, reverse logistics systems with intuitive demand forecasting for ideal stock replenishment and automation of reordering systems while effectively managing working capital. Materials and Methods: Research methodology encompassed a comprehensive analysis of peer-reviewed literature, case studies, and empirical research focusing on automated inventory management systems with IoT integration in SMEs. Criteria for choosing the literature included articles focusing on the outcomes of IoT implementation, technical integration, and performance of inventory systems. Data extraction main concern was on the efficiencies of the SC such as inventory accuracy, carrying costs, stockouts, and ROI. Descriptive methods used involved comparisons between pre-implementation and post- implementation data, use of statistical tools for measurement of performance enhancement and assessment of factors important in the deployment of the system. Results Implementation of IoT-integrated automated inventory management systems demonstrated significant improvements across multiple performance metrics. Studies reported average inventory accuracy improvements of 25-35%, reduction in carrying costs [1] by 20-30%, and decrease in stockout incidents by 35-45%. Real-time monitoring capabilities led to improved demand forecasting accuracy by 40%, while automated reordering systems reduced manual processing time by 60%. Cloud-based platforms enabled better inventory visibility and control, resulting in working capital optimization of 15-25%. SMEs implementing integrated systems reported enhanced supplier collaboration, reduced lead times, and improved customer satisfaction levels. Cost-benefit analyses indicated positive ROI within 12-18 months of system deployment. Discussion Analysis reveals several key factors contributing to successful implementation of automated inventory management systems with IoT integration. Critical success factors include proper system architecture design, effective change management strategies, and comprehensive staff training programs. Integration challenges primarily revolve around initial investment costs, technical expertise requirements, and system interoperability concerns. Studies show that the greater gains are experienced by SMEs with higher ITOR and those engaged in intricate supply chain operations. Literature review also points to differences in implementation strategies across different sectors and in their recovery, with manufacturing and retail sectors having the highest levels of adoption and improvement. Conclusion IoT-integrated automated inventory management solutions should be adopted by SMEs and are affirmed by ample data to help optimize stock status and minimize carrying costs. The tangible benefits that could be noted are accuracy in inventory, less operational costs, visibility of supply chain, and optimal use of working capital. In appointing the factors affecting the implementation success, it requires the assessment of the technical feasibility and organisational readiness as well as the management of change strategies. Research shows that dynamic technology factors will continue to improve the system’s performance and increased availability to SMEs. Due to advancement in IoT technology, artificial intelligence and cloud computing, there are potential factors that may boost the performance and cost of automatically Managed inventory systems in the future.

PERANAN SISTEM AGROFORESTRI POLA DUSUNG TERHADAP PENDAPATAN PETANI DAN KELESTARIAN LINGKUNGAN DI DESA HARUKU

This research aims to assess the role of agroforestry in farmers' income and environmental sustainability in Haruku Village. The study used a purposive sampling method, selecting 20 respondents who apply the dusung agroforestry system in Haruku Village. Interviews and observations were conducted to collect primary data, while secondary data were obtained from the Haruku village government and other literature sources. The results indicate that there are 29 types of plants, including vegetables, fruits, tubers, and timber plants, commonly cultivated by the community in Haruku Village. Through the implementation of the agroforestry system, farmers' income is higher than non-agroforestry income. Agroforestry practices also contribute to environmental sustainability by reducing climate change impacts and decreasing the use of inorganic fertilizers among farmers.

EDAI Framework for Integrating Equity, Diversity, and Inclusion Throughout the Lifecycle of AI to Improve Health and Oral Health Care: Qualitative Study.

Recent studies have identified significant gaps in equity, diversity, and inclusion (EDI) considerations within the lifecycle of artificial intelligence (AI), spanning from data collection and problem definition to implementation stages. Despite the recognized need for integrating EDI principles, there is currently no existing guideline or framework to support this integration in the AI lifecycle. This study aimed to address this gap by identifying EDI principles and indicators to be integrated into the AI lifecycle. The goal was to develop a comprehensive guiding framework to guide the development and implementation of future AI systems. This study was conducted in 3 phases. In phase 1, a comprehensive systematic scoping review explored how EDI principles have been integrated into AI in health and oral health care settings. In phase 2, a multidisciplinary team was established, and two 2-day, in-person international workshops with over 60 representatives from diverse backgrounds, expertise, and communities were conducted. The workshops included plenary presentations, round table discussions, and focused group discussions. In phase 3, based on the workshops' insights, the EDAI framework was developed and refined through iterative feedback from participants. The results of the initial systematic scoping review have been published separately, and this paper focuses on subsequent phases of the project, which is related to framework development. In this study, we developed the EDAI framework, a comprehensive guideline that integrates EDI principles and indicators throughout the entire AI lifecycle. This framework addresses existing gaps at various stages, from data collection to implementation, and focuses on individual, organizational, and systemic levels. Additionally, we identified both the facilitators and barriers to integrating EDI within the AI lifecycle in health and oral health care. The developed EDAI framework provides a comprehensive, actionable guideline for integrating EDI principles into AI development and deployment. By facilitating the systematic incorporation of these principles, the framework supports the creation and implementation of AI systems that are not only technologically advanced but also sensitive to EDI principles.

You Only Look Once Version 5 and Deep Simple Online and Real-Time Tracking Algorithms for Real-Time Customer Behavior Tracking and Retail Optimization

The speedy progress of computer vision and machine learning engineering has inaugurated novel means for improving the purchasing experiment in brick-and-mortar stores. This paper examines the utilization of YOLOv (You Only Look Once) and DeepSORT (Deep Simple Online and Real-Time Tracking) algorithms for the real-time detection and analysis of the purchasing penchant in brick-and-mortar market surroundings. By leveraging these algorithms, stores can track customer behavior, identify popular products, and monitor high-traffic areas, enabling businesses to adapt quickly to customer preferences and optimize store layout and inventory management. The methodology involves the integration of YOLOv5 for accurate and rapid object detection combined with DeepSORT for the effective tracking of customer movements and interactions with products. Information collected in in-store cameras and sensors is handled to detect tendencies in customer behavior, like repeatedly inspected products, periods expended in specific intervals, and product handling. The results indicate a modest improvement in customer engagement, with conversion rates increasing by approximately 3 percentage points, and a decline in inventory waste levels, from 88% to 75%, after system implementation. This study provides essential insights into the further integration of algorithm technology in physical retail locations and demonstrates the revolutionary potential of real-time behavior tracking in the retail industry. This research determines the foundation for future developments in functional strategies and customer experience optimization by offering a solid framework for creating intelligent retail systems.

Factors Behind Chinese Citizen Support to Implementation of Social Credit Policy

The social credit system was implemented in China by the Xi Jinping government officially in 2020. In implementing this policy, there are many arguments that argue this policy has the potential to cause human insecurity from the Chinese people because this policy is widely considered to be used as a tool to control people’s behaviour. Even so, this policy has high support from the Chinese people as evidenced by the high support for the implementation of the social credit system, and the high participation of the Chinese people in the trial of the social credit system in different provinces. Using disciplinary power theory, this article analyses what factors influence public support for the implementation of social credit policies by the Chinese government. This article also looks at how the Chinese government’s efforts in shaping obedience in Chinese society through the implementation of social credit policies. This article argues that the Chinese government succeeded in utilising appropriate means to make people support the implementation of the social credit policy even though the policy has the potential to cause human insecurity.

A new scoring system to predict fatal accidents in General Aviation and to facilitate emergency control centre response.

Numerous accidents occur with General Aviation aircraft every year. To date, pre-emptive prediction of survival or death is impossible. The current study aims to identify significant factors elementary to predict survival after General Aviation (GA) aircraft accidents. The Implementation of a scoring system, including these factors, may facilitate emergency control centre response. Data of flight accidents over a 20-year period (extracted from the German Federal Bureau of Aircraft Accident Investigation [BFU]) was analysed for fixed-wing motorized small aircrafts below 5,700kg MTOW. Factors of interest were analysed using Chi2- and Mann-Whitney-U-Tests. Logistic regression was used to establish a score to calculate the probability of a fatal outcome after an aircraft accident. The BFU lists 1,595 GA aircraft accidents between 2000 and 2019. The factors "third quarter of the year" (p = 0.04), "last quarter of the year" (p = 0.002), "fire" (p < 0.0001), "distance from airport > 10km" (p < 0.0001), "landing" (p < 0.0001) and "cruise" (p < 0.0001), significantly correlated positively or negatively with a fatal outcome. "Take-off", "approach", "month", "day of the week", "persons on board above three", "night-time" and "icing conditions" showed no significant correlation. Using logistic regression "third quarter of the year" and "cruise" were excluded when using the B-STEP method. Including the four significant parameters, the score showed a strong effect with f2 = 0.709. The analysis of GA aircraft accidents in Germany enabled the identification of relevant factors and establishment of a new scoring system for survival prediction after small aircrafts accidents below 5,700kg MTOW. The implementation of the scoring system in emergency control centres in the context of digital development and artificial intelligence can improve emergency response planning and distribution.

Observation of temporal optical solitons in a topological waveguide.

Photonic topological systems may be exploited in topological quantum light generation, the development of topological lasers, the implementation of photonic routing systems and optical parametric amplification. Here, we leverage the strong light confinement of an ultra-silicon-rich nitride (USRN) topological waveguide adopting the 1D Su-Schrieffer-Heeger (SSH) system with a topological domain wall. We present the formation and propagation of temporal optical solitons in the topological waveguide, exhibiting two-fold temporal compression. We further observe a saturation in the output power at sufficiently high input powers. It is further observed that pulse propagation through a trivial, non-topological waveguide does not lead to similar temporal soliton dynamics. The demonstrated topological system allows for the temporal compression to be manipulated through power tuning via topological control of delocalization of the topological mode. This design degree of freedom allows temporal solitons to be generated in a topological waveguide while providing straightforward control of temporal pulses in practical applications.

The impact of the Korean safe rates system on work environment and road safety

Abstract The regulation of road transport supply chains has recently become a subject of international concern. A significant body of research shows that ensuring minimum rates of pay for truck drivers is important, not only to workers’ health and safety but also to achieving improved road safety outcomes and other policy objectives related to the viability of the road transport industry. For this study, we used an empirical analysis to quantitatively demonstrate the impact of South Korea’s Safe Rates System on factors of the work environment and driver behaviours that affect road safety. Specifically, we looked at the impact of the system on market structure, truck drivers’ monthly net income, average working time, time spent on maintenance, and the frequency of overloading, speeding, and drowsiness while driving. Our results suggest that increased rates of pay for owner truck drivers resulting from the implementation of the Safe Rates System led to a reduction in the average number of contracting steps between client companies who ship goods and the truck drivers who transport them, improvement in the level of market transparency, increased monthly income, decrease in total time worked, decrease in the frequency of overloading, speeding, and drowsiness while driving, and increase in time spent on vehicle maintenance. The level of compliance with the system by clients and transport companies also had an overall positive impact on the industry structure. By empirically demonstrating the system’s impact, our results provide statistical evidence useful to the debate on reintroduction of the Safe Rates System in Korea.

Digital Health Record System Using Fingerprint Authentication

This paper discusses the development and implementation of a Digital Health Record System (DHRS) that will use fingerprint biometric authentication to provide secured access to health records. Here, the objective remains the same as was mentioned earlier, to enable doctors to access information about patients in an expeditious manner, especially in the event of emergencies such as accidents. The research leads to the conclusion that the system does value the importance of improvement of health and patient care.

Implementation of a Technology-Based Mobile Obstetric Referral Emergency System (MORES): Qualitative Assessment of Health Workers in Rural Liberia.

Maternal mortality remains a persistent challenge in low- and middle-income countries, where evidence-based interventions of obstetric triage and prehospital communication remain sparse. There is limited implementation evidence for technology-based approaches to improve obstetric care in such contexts. Liberia struggles with maternal mortality, particularly in rural areas where deaths are attributable to delays from absent triage and interfacility communication. We implemented a Mobile Obstetric Referral Emergency System (MORES) in rural Bong County to improve prehospital transfer, health worker attentiveness, and patient care for critical obstetric patients. MORES consisted of triage training and a 2-way, templated WhatsApp communication system to reduce delays among patients transferred from rural health facilities (RHF) to hospitals. This study aimed to examine MORES implementation outcomes of usability, fidelity, effectiveness, sustainability, and scalability, as well as additional impacts on the wider health system. A structured case study design interview was developed by Liberian and US experts in obstetric triage. Participants included 62 frontline obstetric health providers including midwives (38/62, 61%), nurses (20/62, 32%), physicians assistants (3/62, 5%), and physicians (1/62, 2%) from 19 RHFs and 2 district hospitals who had used MORES for 1 year. Individual interviews were conducted on MORES implementation outcomes, transcribed, and analyzed in NVivo (version 12; Lumivero) with a team-based coding methodology. Content analysis with a deductive approach examined implementation outcomes of usability, fidelity, effectiveness, sustainability, and scalability, while an inductive approach categorized the unanticipated impacts of MORES on the wider health system. Four domains were identified regarding MORES implementation: Usability and Fidelity, Effectiveness, Sustainability and Scalability, and Health System Impact. All participants perceived MORES to have high usability and fidelity, as the triage and messaging system was implemented as intended for critical obstetric patients (62/62, 100%). For effectiveness, MORES accomplished its intended aims by improving prehospital transfer (57/62, 92%), increasing health worker attentiveness (39/62, 63%), and contributing to improved patient care (34/62, 55%). MORES was perceived as sustainable and scalable (62/62, 100%), particularly if technological barriers (21/62, 34%) and staff training (19/62, 31%) were addressed. MORES impacted the wider health system in unanticipated ways including improved coordination and accountability (55/62, 89%), feedback mechanisms for hospitals and RHFs (48/62, 77%), interprofessional teamwork (21/62, 34%), longitudinal follow-up care (20/62, 32%), creating a record of care delays (17/62, 27%), and electronic health record infrastructure (13/62, 21%). MORES was perceived to have high usability, fidelity, effectiveness, sustainability, and scalability by frontline obstetric providers in rural Liberia. MORES accomplished the intended aims of improving prehospital transfer, increasing health worker attentiveness, and contributing to improved patient care. Additionally, MORES strengthened the health system through 6 domains which impacted individual and system levels. Future studies should quantitatively evaluate delay and morbidity reductions and strategies for scaling MORES.

Oncology Survivorship Care Clinics: Design and Implementation of Survivorship Care Delivery Systems at NCCN Member Institutions.

It is estimated that there are >18 million cancer survivors in the United States, and there is a growing number of survivorship programs across the country to care for these individuals. There is a clear need for survivorship care; however, evidence is still emerging on how to best operationalize the guidance from nationally recognized organizations and clinical practice guidelines. The NCCN Best Practices Committee (BPC) recently conducted a survey to better understand survivorship clinics at NCCN Member Institutions. Representatives from 24 of the 33 NCCN Member Institutions (73%) submitted responses to the survey. Although all responding centers see cancer survivors, most (92%) have ≥1 dedicated survivorship clinics. Of those centers with dedicated survivorship clinics (n=22), 9 (41%) reported general survivorship clinics for all cancer types, and 13 (59%) indicated their center offered ≥1 disease-specific survivorship clinics. Most centers (55%) use a mix of physicians and advanced practice providers (APPs; nurse practitioners and/or physician assistants) to staff survivorship clinics; however, 9 (41%) are staffed entirely by APPs and 1 (4%) is staffed entirely by physicians. The vast majority (91%) have dedicated scheduling templates, and most (73%) have dedicated clinic space for survivorship clinics. The referral process for survivorship clinics varies across centers, with 16 (73%) using algorithms, guidelines, or pathways to determine when a patient is referred to a survivorship clinic. Findings may reflect the evolution of survivorship care and indicate a move toward standardizing which patients are seen and when. It is notable that >50% of institutions reported a model in which they follow survivors for their lifetime. Given the number of patients impacted by cancer, these data highlight the need to continue refining how survivorship care models are integrated into cancer centers to best serve patients with cancer and cancer survivors.

Bridging technostress and continuous learning in knowledge-intensive organizations: A socio-technical systems approach for the future of healthy working life

We present an interdisciplinary exploration of technostress in knowledge-intensive organizations, including both business and healthcare settings, and its impact on a healthy working life. Technostress, a contemporary form of stress induced by information and communication technology, is associated with reduced job satisfaction, diminished organizational commitment, and adverse patient care outcomes. This article aims to construct an innovative framework, called The Integrated Technostress Resilience Framework, designed to mitigate technostress and promote continuous learning within dynamic organizational contexts. In this perspective article we incorporate a socio-technical systems approach to emphasize the complex interplay between technological and social factors in organizational settings. The proposed framework is expected to provide valuable insights into the role of transparency in digital technology utilization, with the aim of mitigating technostress. Furthermore, it seeks to extend information systems theory, particularly the Technology Acceptance Model, by offering a more nuanced understanding of technology adoption and use. Our conclusion includes considerations for the design and implementation of information systems aimed at fostering resilience and adaptability in organizations undergoing rapid technological change.

DESIGNING AN E-KANBAN SYSTEM TO IMPROVE DRUG AVAILABILITY AND MINIMISE INVENTORY WASTE AT THE HOSPITAL PHARMACY INSTALLATION

In an effort to provide a high level of service to hospitals, pharmaceutical installations are often faced with problems in monitoring and determining adequate drug supply levels to respond to demand, both from outpatient and inpatient units. Inventory control by hospital pharmacies is often carried out without being supported by accurate information systems or control methods, resulting in excess inventory levels which leads to higher inventory costs. This study aims to identify and develop an e-kanban system suitable for the scope of hospital pharmacy. E-kanban as a method of controlling inventory through a simple reliable information system is expected to minimize inventory waste that occurs. The e-kanban system coupled with the use of barcodes and portable scanners is expected to provide more accurate information on drug availability. Inventory monitoring and control is expected to be much easier, both at the time of replenishment and during periodic stock-taking. The implementation of the e-kanban system is also able to eliminate waste, card use and manual recording activities, replaced by the use of simpler two-bin containers. The e-kanban system can also be integrated into the existing Hospital Information System, without disrupting the running system.

Ragi Revolution: Enhancing Dietary Practices through Nutritional Education and Local Food Systems Implementation

Ragi (Eleusine coracana), commonly known as finger millet, is a nutrient-rich cereal that remains underutilized in modern diets despite its high calcium, iron, and dietary fiber content. This examines how ready-to-eat ragi-based supplementary foods, combined with effective nutrition education, can drive behavioral changes to incorporate ragi into daily diets and local food systems. The increasing availability of ready-to-eat ragi products offers an accessible solution for improving nutrition, but challenges remain in terms of consumer acceptance due to unfamiliarity and taste preferences. This paper focuses on the role of nutrition education in reshaping dietary behaviour, emphasizing case studies that demonstrate the effectiveness of targeted interventions in promoting ragi consumption. Additionally, it explores strategies for integrating ragi into public nutrition programs and sustainable food systems, highlighting the importance of community-driven efforts and public-private partnerships. The review also discusses the role of policy support and multi-stakeholder collaboration in fostering ragi’s cultivation and incorporation into local food systems. By examining behavioural change strategies such as social marketing and culturally sensitive approaches, this paper presents a roadmap for promoting ragi as a key component of sustainable diets and public health interventions.

Implementation of Wastewater Monitoring System using Low-Cost Water Sensor and IoT-based SCADA

Wastewater monitoring is crucial for ensuring the wastewater quality is in the allowable range. This paper presents the implementation of a wastewater monitoring system using low-cost water sensors and Internet of Things (IoT)-based Supervisory Control and Data Acquisition (SCADA). The low-cost water sensor comprises the pH, temperature, turbidity, and Dissolved Oxygen (DO) sensors. The sensors are connected to the ESP32 microcontroller that is equipped with the WiFi module for communicating with the master unit, namely the Haiwell CBOX. Since the Haiwell CBOX is an IoT-based device, it is connected to the IoT cloud server. Thus, it can be accessed remotely through the Internet. The experimental results show that the user-friendly graphical interface is easy to develop and provides the user with useful and helpful information for monitoring and analyzing wastewater parameters. Further, the communication time interval of four seconds between the ESP32 and CBOX achieves a stable connection.

Power Quality Analysis of a Microgrid-Based on Renewable Energy Sources: A Simulation-Based Approach

At present, microgrids (μGs) are a focal point in both academia and industry due to their capability to sustain operations that are stable, resilient, reliable, and of high power quality. Power converters (PCs), a vital component in μGs, enable the decentralization of power generation. However, this decentralization introduces challenges related to power quality. This paper introduces a μG model, based on the IEEE 14-bus distribution system, with the objective of investigating power quality when the μG is operating in conjunction with the conventional power grid. The μG model was developed using MATLAB-Simulink®, a tool specialized for electrical engineering simulations. The results obtained undergo thorough analysis and are compared with the compatibility levels set by the IEEE-519 standard. This method enables a precise evaluation of the μGs’ capacity to maintain acceptable power quality levels while interconnected with the conventional power grid. In conclusion, this study contributes significantly to the field of μGs by providing a detailed and quantitative assessment of power quality. This will assist in the design and optimization of μGs for effective implementation in real-world electric power systems.

Sensitivity improvement of the closed-loop resonant fiber-optic gyroscope interrogated with a broadband source

The resonant fiber-optic gyroscope (RFOG), interrogated with a broadband light source, represents an intriguing optical gyroscope that has been proposed as an extension of the traditional RFOG, which is driven by a narrow linewidth laser source. The implementation of a closed-loop detection system enhances the linearity and dynamic range of the gyroscope output. This paper is devoted to improving the sensitivity of the closed-loop broadband source-driven RFOG. First, a model for analysis and optimization of the feedback loop gain of a closed-loop broadband source-driven resonant fiber-optic gyroscope (RFOG) is developed, and the feedback loop gain is optimized. The experimental results indicate that the influence of the feedback loop noise on the gyro performance can be neglected. Subsequently, the noise contributions, including the shot noise, detector noise, and relative intensity noise, in the broadband source-driven RFOG system are investigated. A theoretical derivation and experimental verification of an expression for the reduction of the relative intensity noise by a fiber-optic ring resonator are presented. Finally, a packaged broadband source-driven RFOG prototype using a 175 m long fiber coil with an average diameter of 5.7 cm was constructed and evaluated. The experimental results demonstrate that the prototype achieves navigation-grade precision with an angular random walk of 0.003∘/h1/2 and a bias instability of 0.005°/h.

Quality Management in Spanish Community Pharmacy: Implementation of ISO 9001.

Spanish community pharmacy has been incorporating some methods and approaches in the evaluation and improvement of quality, with the ISO 9001 standard being the most used reference. The experience of a community pharmacy in Spain is presented. The pharmacy implemented a management system based on the ISO 9001 standard in 2020, using the Deming cycle with the aim of enhancing the quality of pharmaceutical care. The results obtained in the processes over the following 2 years are also presented. The ISO 9001 standard was reviewed to ensure compliance. The Quality Management System control documentation was updated and included the following documents: quality manual, process map, operational processes and procedures, quality indicators and incident records. The pharmacy has planned and implemented a process of monitoring, measurement, analysis of results and continuous improvement for operational, strategic and support processes during the time period of the study. The main operational processes were associated with a set of indicators which permitted to know the results obtained, analyse deviations and implement improvements. The planning and development of the project encompassed approximately 1 year and involved several key stages: (1) diagnosis and assessment of quality situation, (2) analysis of processes, (3) preparation of documentation, (4) implementation of the Quality Management System, (5) internal audit, (6) monitoring of activities and continuous improvement, (7) follow-up audit by the certifying body, (8) obtaining the ISO 9001:2015 quality certificate. The planned schedule was adhered and the documents were successfully drafted. In total, eight operational processes, nine support processes and six strategic processes were reviewed and included in the Quality Management System. Twenty indicators were established to monitor and analyse the performance of these processes. During audits, deviations in the system or nonconformances were identified and analysed. In the first year of system implementation, five nonconformances were identified, decreasing to two in the subsequent two periods. In 2020, three improvement actions were implemented with the objective of: (1) implementing a medication reconciliation service, (2) developing a medication dose adjustment service for polymedicated patients, and (3) implementing a service to measure and improve inhalation technique in patients using inhalers. The implementation of a methodology based on the ISO 9001 standard has facilitated: (1) Integrating process management as a regular working methodology, (2) A focus on the continuous improvement of services, (3) Achieving recognition of the staff efforts and involvement.