Continuous Delivery Research Articles

Non-invasive, continuous oral delivery of solid levodopa-carbidopa for management of Parkinson's disease.

When short plasma half-life drugs act only briefly, they require frequent or continuous administration. We report the engineering of a non-invasive oral drug delivery system for long-term, continuous administration of these drugs. Their non-invasive, long-term, continuous administration at daily doses exceeding 100 mg has, for many years, been considered an insurmountable challenge. We show that over 1200 mg/day of 4:1 levodopa-carbidopa (LD-CD) can be non-invasively and continuously extruded when formulated as a semisolid paste, loaded with 63%w/w of the solid drugs. The drug delivery system comprises a reusable orthodontic retainer with a co-molded pocket into which the patient inserts after each meal a new 1 mL propellant-driven, prefilled, disposable, drug delivery extruder. The paste is delivered to the lingual side of the teeth where it is mixed with saliva and swallowed. As reported elsewhere, a 15-day, 16 patient open label clinical trial of the drug delivery system continuously extruding LD-CD paste significantly reduces the variability of the plasma LD concentration and alleviates symptoms of advanced Parkinson's disease (PD) as compared to LD-CD tablets.

Virtual connection and real community: the qualitative experience of participating in a videoconferencing-based psychotherapy group for postpartum depression and anxiety

BackgroundGroup psychotherapy, an effective treatment for common postpartum mental disorders (e.g. depression, anxiety), has increasingly been delivered virtually since the pandemic. This study aims to understand experiential aspects of participating in videoconferencing-based group psychotherapy in the postpartum period.MethodsOur urban academic ambulatory hospital has delivered group psychotherapy for women (cis and trans) and non-binary individuals of female sex with postpartum depressive and anxiety symptomatology via videoconferencing since 2020. One therapist-facilitator conducts weekly 60-min group therapy sessions with 5-6 participants for eight weeks. Group participants were invited to complete a semi-structured qualitative interview on their experience. Using an interpretive description approach, we conducted reflexive thematic analysis to code anonymized transcripts and construct themes. Facilitator interviews were used for triangulation and additional context.ResultsOf 134 patients in video psychotherapy groups over 11 months, 14 completed an interview, as did all group facilitators (n = 3). Overall, participants felt the experience with videoconferencing group therapy was beneficial for their mental health. Three themes were constructed: (1) “Moving Towards a New Normal”: The group helped participants normalize feelings and experiences around transition to parenthood, and accessing health care virtually was now considered to be normal practice, although some wanted an element of choice. (2) “Virtual Connection, Real Community”: Connections were made virtually, yet participants felt a real sense of community. Facilitators played an important role fostering an environment in which participants could create lasting bonds. Participants noted challenges with feeling comfortable virtually and provided pragmatic and structural suggestions for enhancing the creation of community. (3) “Trade-offs to Virtual Engagement”: Participants made positive and negative trade-offs (e.g. no informal interactions, travel, isolation at home, childcare challenges) to maximize their experience and were able to be more authentic in their self-presentation to the group.ConclusionsPeople with postpartum depression and anxiety who participated in videoconferencing-based group psychotherapy appreciated the sense of community within their groups to normalize their experience transitioning to parenthood. Participants had to make trade-offs to access virtual groups, but felt the experience was worthwhile and helped improve their mental health. Findings will help inform continued delivery of virtual group mental health services.

Integrating AI into DevOps pipelines: Continuous integration, continuous delivery, and automation in infrastructural management: Projections for future

This paper explores the transformative role of Artificial Intelligence (AI) in enhancing DevOps pipelines, focusing on Continuous Integration (CI), Continuous Delivery (CD), and automation in infrastructural management. As organizations increasingly adopt DevOps methodologies to streamline software development and delivery processes, the integration of AI technologies offers significant potential for improving efficiency, quality, and responsiveness. This study reviews current practices in CI/CD and examines how AI-driven tools can automate repetitive tasks, optimize resource allocation, and facilitate predictive analytics for proactive decision-making. Additionally, the paper discusses the challenges and considerations associated with AI integration in DevOps, including cultural shifts, data governance, and the need for skilled personnel. Projections for future developments highlight the potential for AI to create smarter, more adaptive DevOps environments that align with evolving industry demands. By identifying key trends and innovations, this research provides a comprehensive overview of the future landscape of DevOps, positioning AI as a critical enabler of agility and performance.

Exploring the critical factors in pharmaceutical supply chains revealed during COVID-19 and addressing missing links

The COVID-19 pandemic revealed profound weaknesses in global pharmaceutical supply chains, resulting in widespread shortages of critical medical supplies, delayed drug manufacturing, and disruptions in vaccine distribution. These supply chain vulnerabilities were exacerbated by several key factors, including an overreliance on a limited number of countries for active pharmaceutical ingredients (APIs), insufficient local manufacturing capacity, and logistical constraints in transportation and distribution networks. The pandemic also exposed inefficiencies in regulatory frameworks, leading to delays in approvals and limited agility in responding to rapidly changing demands. Furthermore, the lack of transparency and real-time monitoring across global supply chains hindered effective decision-making and coordination, aggravating the crisis. This paper provides an in-depth analysis of the critical factors that contributed to pharmaceutical supply chain disruptions during COVID-19, identifying missing links such as the need for diversification of supply sources, enhanced flexibility in manufacturing processes, and the integration of advanced technologies like artificial intelligence (AI), blockchain, and automation for supply chain optimization. The analysis highlights how supply chain visibility, digital innovation, and risk management strategies could improve resilience in the face of future global health crises. In addition to identifying these challenges, the paper proposes solutions to address the missing links in pharmaceutical supply chains, including the decentralization of production, the development of regional manufacturing hubs, and the creation of public-private partnerships to bolster local production. The role of government policies in facilitating faster regulatory approvals, fostering international cooperation, and incentivizing innovation is also explored. Case studies on successful post-COVID-19 adaptations, such as the rapid scale-up of vaccine production and the reconfiguration of personal protective equipment (PPE) supply chains, offer insights into effective strategies for building more resilient systems. Ultimately, this paper underscores the importance of a collaborative, multi-stakeholder approach to ensuring the stability and security of pharmaceutical supply chains. It calls for proactive measures to strengthen global supply chain infrastructures, improve regulatory agility, and embrace emerging technologies that can predict and respond to disruptions. These steps are crucial to safeguarding the continuous delivery of essential pharmaceuticals during future pandemics or other large-scale disruptions, ensuring global health security in an increasingly interconnected world.

FROM SERVICE TO SUPERIORITY: UNVEILING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON CUSTOMER EXPERIENCE IN GIANT HYPERMARKETS, KLANG VALLEY, MALAYSIA

The integration of Artificial Intelligence (AI) in retail has redefined customer experience, offering new opportunities for personalisation, service quality enhancement, and continuous service delivery. This study investigates the impact of AI on customers’ experience at Giant Hypermarkets in Klang Valley, Malaysia, focusing on four key areas: personalisation, service quality, hassle-free service, and customer service. Using quantitative methods, data were gathered from 365 respondents to assess the influence of AI-driven services on customer experience. The findings reveal that hassle-free service significantly enhances customer experience, while personalisation, service quality, and customer service show no significant impact. These results suggest that while AI is effective in streamlining operations and reducing customer effort, it may fall short in providing the emotional engagement needed to enhance the overall customer experience. This study highlights the importance of balancing AI efficiency with human interaction, particularly in relational services. This research offers valuable insights for retailers, academics, and small business owners, emphasizing the need to adopt AI technologies that focus on customer convenience and experience while maintaining a personal touch. This study clearly highlights the implications for the retail industry, demonstrating that AI can significantly enhance customer experience, but its strategic integration is crucial to address both operational efficiency and emotional engagement.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0735/a.php" alt="Hit counter" /></p>

Build Your Continuous Integration and Continuous Delivery Pipeline for Salesforce Platform

Build Your Continuous Integration and Continuous Delivery Pipeline for Salesforce Platform

Uncovering the interleukin-12 pharmacokinetic desensitization mechanism and its consequences with mathematical modeling.

The cytokine interleukin-12 (IL-12) is a potential immunotherapy because of its ability to induce a Th1 immune response. However, success in the clinic has been limited due to a phenomenon called IL-12 desensitization - the trend where repeated exposure to IL-12 leads to reduced IL-12 concentrations (pharmacokinetics) and biological effects (pharmacodynamics). Here, we investigated IL-12 pharmacokinetic desensitization via a modeling approach to (i) validate proposed mechanisms in literature and (ii) develop a mathematical model capable of predicting IL-12 pharmacokinetic desensitization. Two potential causes of IL-12 pharmacokinetic desensitization were identified: increased clearance or reduced bioavailability of IL-12 following repeated doses. Increased IL-12 clearance was previously proposed to occur due to the upregulation of IL-12 receptor on T cells that causes increased receptor-mediated clearance in the serum. However, our model with this mechanism, the accelerated-clearance model, failed to capture trends in clinical trial data. Alternatively, our novel reduced-bioavailability model assumed that upregulation of IL-12 receptor on T cells in the lymphatic system leads to IL-12 sequestration, inhibiting the transport to the blood. This model accurately fits IL-12 pharmacokinetic data from three clinical trials, supporting its biological relevance. Using this model, we analyzed the model parameter space to illustrate that IL-12 desensitization occurs over a robust range of parameter values and to identify the conditions required for desensitization. We next simulated local, continuous IL-12 delivery and identified several methods to mitigate systemic IL-12 exposure. Ultimately, our results provide quantitative validation of our proposed mechanism and allow for accurate prediction of IL-12 pharmacokinetics over repeated doses.

High-Availability Databases in Global Banking : Ensuring Continuous Operations and Data Integrity

This comprehensive article explores the critical role of high-availability (HA) database systems in global banking operations, focusing on their impact on continuous service delivery, data integrity, and regulatory compliance. The article examines the challenges faced by financial institutions in maintaining reliable database systems, including the risks of downtime, data inconsistencies, and the complexities of managing distributed systems across multiple jurisdictions. It provides an in-depth analysis of various HA database architectures, comparing active-active and active-passive configurations, and discussing replication mechanisms and clustering strategies. Through case studies of real-world implementations in trading and core banking systems, the research highlights best practices and common challenges in deploying HA solutions. The article also investigates the broader implications of HA databases on operational resilience and regulatory adherence, particularly in the context of SOX and Basel III requirements. Looking ahead, the article explores emerging trends in HA database technology, including cloud-based solutions, the potential of blockchain for enhancing data integrity, and the role of artificial intelligence in improving system reliability. By synthesizing technical insights with practical applications, this research offers valuable guidance for financial institutions seeking to enhance their database infrastructure to meet the demands of an increasingly digital and interconnected global financial system.

The benefits of transformational leadership for addressing workplace emotions after COVID-19 at a large multi-campus university

The COVID-19 pandemic presented a series of challenges to organizations. Among those that successfully continued operating, the subsequent recovery period catalyzed pressure to redefine work structure after social distancing restrictions lifted. Here, we observed the benefits of transformational leadership in this historically unique context of organizational distress by applying an adjusted version of Ashkanasy and Dorris’s (Ashkanasy and Dorris in Annu Rev Organ Psych Organ Behav 4:67–90, 2017) framework for workplace emotions to a large, multi-campus university. We quantitatively content-analyzed semi-structured interviews of more than 300 divisional leaders and their staff from across the organization. Interviews occurred in the months following the first semester of continuous in-person service delivery, when most employees returned to working in employer-operated space. Despite disproportionate emphasis on negative and self-focused emotions, negative emotions clustered in individuals’ empathic recognition of others’ emotions; though efforts to regulate those emotions proved scant. Positive emotions primarily emerged in response to local leadership efforts to mitigate the negative emotions of students, staff, and faculty. This data pattern suggests that individuals experienced negative emotions, recognized others’ negative emotions, and appreciated leaders’ interventions to ameliorate those negative emotions. Strategies reminiscent of transformational leadership therefore productively addressed the negative impact of workplace stress imposed by the pandemic, helping to facilitate compliance and enthusiasm with return-to-work efforts. The findings thus illustrate how a transformational style of leadership can address individuals’ negative experiences during a period of pronounced existential stress.

Prediction of the Remaining Useful Life of Lithium-Ion Battery Using Multilayer Perceptron

Cogitating the reliability of the supply and ensuring continuous delivery of power to the loads, especially in the growing demand for Lithium-Ion batteries in electric vehicle applications, prediction of the remaining useful life of Lithium-Ion batteries is crucial for the timely replacement. For prediction of non-linear and chaotic relationship, experience-based approach, physics-based approach and data driven approach are used among which data driven approach is a model free, accurate and reliable approach. Therefore, a driven approach in predicting remaining useful life can be implemented in the battery management system. This research uses a multilayer perceptron to predict the remaining useful life of the battery. The NASA Ames Prognostics Center of Excellence (PCoE) battery dataset is used to test the proposed methodology. The use of multilayer perceptron for remaining life prediction seems promising despite the significant number of jump points, gaps in data and a small quantity of experimental data in the National Aeronautics and Space Administration (NASA) dataset. The predicted result was obtained with 8.52 % mean absolute error and 9.59 % root mean square error. When compared with the predicted results of different literatures, proposed multilayer perceptron with sliding window approach outperforms most of the existing approach. Incorporation of optimization techniques and hybrid algorithm in proposed approach can further enhance the accuracy of the model.

Mechanism and performance of choline-based ionic liquids in enhancing nasal delivery of glucagon

Proteins and peptides have been increasingly developed as pharmaceuticals owing to their high potency and low side effects. However, their administration routes are confined to injections, such as intra-muscular and intra-venous injections, making patient compliance a challenge. Hence, non-injectable delivery systems are crucial to expanding the clinical use of proteins and peptides. In this context, two choline-based ionic liquids (ILs), namely, choline geranic acid ([Ch][Ger]) and choline citric acid ([Ch][Cit]), have been identified as promising agents for enhancing the permeation and prolonging the retention time of glucagon (GC) after intra-nasal administration. Notably, intra-nasal delivery of GC via ILs (GC/ILs) elicited rapid and smooth reversal of acute hypoglycaemia without leading to rebound hyperglycaemia in type 1 diabetic rats subjected to insulin induction. In addition, ILs could improve the transcellular transport of GC through electrostatic interaction. ILs could also transiently open inter-cellular tight junctions transiently to facilitate the paracellular transport of GC. Safety tests indicated that continuous intra-nasal delivery of ILs led to reversible changes, such as epithelial cell inflammation, goblet cell overgrowth, and impacts on the distribution of nasal cilia. However, these changes could be alleviated by the innate self-repair ability of mucosal epithelial cells. This study highlights the considerable potential of ILs for long-term nasal delivery of biomacromolecules.

Assessment of basic pharmacokinetic parameters of dapagliflozin in TTS formulations in male minipigs

Given the extended time over which diabetes treatment is administered, the transdermal delivery system is anticipated to be a more suitable option for older individuals who may experience difficulty swallowing. The continuous delivery of dapagliflozin and more stable plasma levels are anticipated to reduce the incidence of side effects and the frequency of dosing. The objectives of the study were to determine the safety and plasma pharmacokinetics of dapagliflozin in male minipigs following application of the ointment and skin patch. In the initial phase of the study, the potential for transdermal permeation of dapagliflozin from ointment and transdermal patch to blood plasma of 15 male Göttingen minipigs was investigated. In the subsequent phase, the efficacy of utilising patches of varying strengths and sizes was assessed. The LC/MS method was employed to quantify the concentration of the active substance. The transportation of the studied API to the general circulation and accumulation in tissues were confirmed. The maximum drug concentration (122.99 ng/mL) in plasma was observed on the fourth day of application. The highest calculated Cmax was 131.91 ng/mL with a mean AUC0-last of 6620.7 ng h/mL. Following transdermal administration, dapagliflozin is excreted in the urine. The trend between urinary dapagliflozin 3-O-glucuronide levels and urinary glucose excretion was also observed. The transdermal patch has been demonstrated to be an effective drug delivery system for dapagliflozin.

Delivering scientific evidence for global policy and management to ensure ocean sustainability

AbstractLife depends on the ocean, with societal health, cultural systems and national economies reliant on ocean processes and resources. As ocean resources are used, and humans continue to drive climate change, the benefits from the ocean to society are being diminished. Science must meet the needs of policy and deliver to decision makers the information and tools for identifying pathways that support continued delivery of the benefits society derives from the ocean, whilst minimising impacts. This is crucial if the world’s nations are to meet the goals and targets they have set under international agreements. Here, we outline how a global assessment that focuses specifically on the ocean, the World Ocean Assessment, is linking science to the governments of the world and their policies within an internationally mandated framework. In doing so, we identify key elements that are needed for facilitating engagement by decision makers and uptake of knowledge, and the pathways taken by the assessment in implementing them. We also provide insights into the evolution that the World Ocean Assessment has undertaken over its first three cycles to progress its goal of enhancing the scientific basis of policymaking. We identify the challenges in delivering science to policy at a global scale and the work that still needs to be done in filling gaps to achieve a coordinated, comprehensive mechanism for connecting science with policy and ensuring future sustainability of the ocean.

FRAMUX-EV: A Framework for Evaluating User Experience in Agile Software Development

Agile software development prioritizes customer satisfaction through the continuous delivery of valuable software. However, integrating user experience (UX) evaluations into agile projects remains a significant challenge. Existing proposals address specific stages that apply UX evaluation methods but do not fully consider UX artifacts or UX events for integrating user experience into agile processes. To address this gap and support teams, we propose FRAMUX-EV, a framework for evaluating UX in agile software development using Scrum. FRAMUX-EV introduces seven UX artifacts: (1) UX evaluation methods, (2) UX design system, (3) UX personas, (4) UX responsibilities and roles, (5) UX evaluation repository, (6) UX backlog, and (7) UX sprint backlog; and four UX events: (1) pre-planning UX meeting, (2) pre-review UX meeting, (3) weekly UX meeting, and (4) weekly user meeting. The first version of the framework was developed using a seven-step methodology with a qualitative approach. A survey of 34 practitioners validated the usefulness and ease of integration of FRAMUX-EV components, yielding positive results. These findings suggest the potential of FRAMUX-EV as an interesting proposal for integrating UX into agile software development.

DevOps Adoption Guidelines, Challenges and Benefits: A Systematic Literature Review

The DevOps methodology in software engineering is currently trending and many software development organisations are adopting it to stay competitive. However, these organisations face difficulties in adopting DevOps due to a lack of common standard guidelines and methodology. We argued that guidelines across multiple platforms are needed to succeed in DevOps implementation. This paper aims to identify the benefits, challenges, and guidelines associated with DevOps adoption using a systematic literature review. The search spanned over ten digital libraries such as ACM Digital Library, ScienceDirect, EBSCOhost, SAGE Journals, Wiley Online Library, and so on. The review also included keyword searches in relevant studies i.e DevOps guidelines, DevOps and guidelines, DevOps benefits, DevOps and benefits, DevOps challenges, DevOps and challenges. Papers written in English and published from 2011 through July 2020 were considered. 33 studies passed the two-step quality assessment. Finally, the data were extracted and analysed based on the themes and research questions, revealing the benefits and challenges of DevOps adoption guidelines. The findings show that improved software delivery speed increases code quality and application quality with frequent releases. It also shows that there was no transparent scientific approach to determining the DevOps capabilities regarding the process, practice, tools, and implementations, cost implications, and insufficient knowledge of the automation process. Finally, the reviewed studies indicated that software quality increases whenever DevOps best practices are adopted. DevOps is about continuous software delivery. Previous studies have not considered the guidelines for scientifically adopting DevOps for organisations that want to migrate. The present review identified the DevOps adoption guideline model represented in a cyclic format that indicates an infinite process representing continuous integration, continuous delivery, and continuous deployment, with an understanding of benefits and challenges.

Dual-activity nanozyme as an oxygen pump to alleviate tumor hypoxia and enhance photodynamic/ NIR-II photothermal therapy for sniping oral squamous cell carcinoma

Oral squamous cell carcinoma (OSCC) is the most common malignant tumor in the head and neck region, and its treatment is limited by hypoxia and inadequate oxygen supply. Continuous oxygen delivery combined with photodynamic therapy (PDT) is the key to addressing this issue. Here, a dual-enzyme activity sea urchin-like Au@Pt-Ce6-HN-1 nanoplatform was designed to serve as an "oxygen pump" to alleviate tumor hypoxia for synergistic photodynamic/photothermal therapy (PTT). In this design, the photosensitizer chlorin e6 (Ce6) is covalently linked to the Au@Pt nanozyme for PDT treatment. The Au@Pt nanozyme exhibits catalase-like activity, continuously decomposing H2O2 in the tumor microenvironment to enhance O2 levels, thereby achieving efficient PDT. Furthermore, Au@Pt can perform PTT and increase oxygen levels under NIR-II light to further promote PDT. The Au@Pt nanozyme also exhibits peroxidase-like activity, generating ·OH for chemodynamic therapy (CDT). Additionally, HN-1 guides the direction of "sniping" OSCC, and its high specificity benefits Au@Pt-Ce6-HN-1 at the tumor site. Au@Pt-Ce6-HN-1 exhibits bright fluorescence (FL), strong CT signal, and photothermal imaging capabilities, laying the foundation for subsequent guided PDT/PTT. This nanoplatform, which combines advantages such as continuous oxygen production, tumor targeting, and multimodal imaging, is expected to provide valuable insights into the treatment of OSCC. Statement of significanceAccurate clinical diagnosis and treatment of OSCC are challenging. We report a dual-enzyme activity sea urchin-like Au@Pt-Ce6-HN-1 nanoplatform, serving as an "oxygen pump" to guide photodynamic therapy (PDT) and photothermal therapy (PTT) for OSCC. This nanoplatform targets OSCC for preoperative CT diagnosis and offers fluorescence visualization for surgical navigation, demonstrating potential in clinical cancer detection and surgery guidance. This innovative approach addresses OSCC hypoxia and enhances treatment efficacy through continuous oxygen production, tumor targeting, and multimodal imaging, significantly improving patient outcomes in OSCC treatment.

A new aerosol delivery approach for enhanced long-term respiratory care in resource-poor settings

Continuous aerosol therapy is safe, superior, and the mainstay in the therapy of patients with severe asthma, cystic fibrosis, chronic obstructive pulmonary disease (COPD), and coronavirus disease (COVID-19). However, continuous nebulization has been perceived as highly expensive and labor-intensive, which often requires specialized medical equipment. Moreover, it is difficult to maintain consistent aerosol output and particle size delivery over an extended period without operator intervention. This work proposes a simple and reliable continuous nebulization method using a conventional gas jet nebulizer and intravenous (IV) bottle/bag. The present work reports detailed experimental studies on a gas jet nebulizer with Particle image velocimetry (PIV), Particle/droplet Imaging Analysis (PDIA), and Mie scattering techniques to demonstrate the feasibility of the proposed technique. The preliminary investigation shows that the proposed method provides continuous liquid output delivery without external supervision. The liquid delivery rate and mass median diameter (MMD) of the nebulizer mainly depend on the gas flow rate and suction height. The MMD of the primary generated droplets is reported to vary between 100 and 230 μm for a ± 10 cm suction height and 500–1000 mlph nebulization gas flow rate. Most importantly, the nebulizer spray angle, stability, droplet size distribution, and the axial and radial velocities of the droplets are marginally affected by the suction height. Therefore, the proposed system is a versatile, safe, and cost-effective method of continuous nebulization therapy, especially in resource-poor countries or contagious disease outbreak situations.

An update on soil gas harvesting technique as a non-depleting source of 222Rn for a large volume calibration chamber for long-term exposure experiments

ObjectiveTo demonstrate the versatility of the natural soil gas harvesting technique, coupled with a semi-dynamic injection algorithm, as an efficient and reliable source for continuous 222Rn delivery to a large-volume calibration chamber across different soil conditions and climatic conditions. MethodsLong-term experiments were performed during three seasons of a year in a tropical monsoonal climatic region with high rainfall on the Southwest Coast of India. Soil gas extraction was performed using soil-gas probes, inserted to ∼ 1 m deep into the ground. Soil gas was harvested at a flow rate of 60 lpm, passed through a moisture trap, a 222Rn progeny filter, and a delay volume and pumped into a 222Rn calibration chamber of volume 22.7 m3. Continuous monitoring of 222Rn concentration in the chamber was performed using ionization chamber-based reference monitors. To achieve and maintain the desired 222Rn concentration values in the calibration chamber, the semi-dynamic injection method was adopted, in which the 222Rn concentration in the soil gas was monitored periodically, and injection into the chamber was controlled using a well-defined pumping algorithm. Three ranges of 222Rn concentration values were chosen as the target values to be maintained in the calibration chamber for long-term experiments (15 d): (i) low concentration (500 - 1,000 Bq/m3), (ii) medium concentration (1,000 - 10,000 Bq/m3), and (iii) high concentration (10,000 – 25,000 Bq/m3). ResultsThe achieved 222Rn concentration values were in good agreement with the target values, with deviations of 12%, 8% and 5% for the low, medium and high concentration exposures, respectively, during the summer season. During the monsoon season, the deviations between the target and the achieved concentration values were 12%, 10% and 5% for low, medium and high concentration exposures, respectively, and the corresponding deviations were 12%, 4%, and 5% for the winter season. These deviations are well within the cumulative uncertainty associated with the measurements. ConclusionsThe results of this study conclusively demonstrate that the soil gas harvesting method, when coupled with the semi-dynamic injection approach, is a reliable method for generating and maintaining the desired 222Rn concentration in the large volume calibration chamber during different seasons and environmental conditions.

A model-driven, metrics-based approach to assessing support for quality aspects in MLOps system architectures

In machine learning (ML) and machine learning operations (MLOps), automation serves as a fundamental pillar, streamlining the deployment of ML models and representing an architectural quality aspect. Support for automation is especially relevant when dealing with ML deployments characterised by the continuous delivery of ML models. Taking automation in MLOps systems as an example, we present novel metrics that offer reliable insights into support for this vital quality attribute, validated by ordinal regression analysis. Our method introduces novel, technology-agnostic metrics aligned with typical Architectural Design Decisions (ADDs) for automation in MLOps. Through systematic processes, we demonstrate the feasibility of our approach in evaluating automation-related ADDs and decision options. Our approach can itself be automated within continuous integration/continuous delivery pipelines. It can also be modified and extended to evaluate any relevant architectural quality aspects, thereby assisting in enhancing compliance with non-functional requirements and streamlining development, quality assurance and release cycles.

Exploring Synergies, Differences, and Impacts of Agile and DevOps on Software Development Efficiency

Agile and DevOps are now the preferred methods for satisfying the ever-changing demands for better software. Improvements in efficiency, adaptability, and collaboration are the aims of newly proposed solutions. It examines the impact of these factors on software development efficiency, focussing special attention to the ways in which they differ and complement one another. The focus of DevOps is continuous integration and delivery with operational automation, whereas Agile is on iterative improvement, consumer cooperation, and adaptation. Acquire an understanding of how these methods can be combined or utilised independently with the goal to achieve maximum performance in software tasks. One method that ranks the importance of factors including improvement velocity, quality, cooperation, and automation in relation to their impact on efficiency is the Multivocal Software Factor Prioritisation Development Approach (MSFPDA). By giving these considerations priority, this method integrates the most beneficial features of both methodologies. With the goal to maximise the stability, adaptability, automation, and scalability of both Agile and DevOps, MSFPDA employs comment looping structures, iterative workflows, and continuous monitoring. The simulation analysis is used by the granting studies to evaluate MSFPDA's performance in exceptional improvement circumstances. By identifying and prioritising critical components, MSFPDA can improve software program efficiency, according to this assessment. Blending Agile and DevOps presents a variety of issues, such as managing automation complexity, assuring non-stop delivering without sacrificing agility, and harmonising the team's tradition. This methodology for software enhancement has enormous ability, and the results of the simulations demonstrate how MSFPDA can be utilised in real-world scenarios, improving multiple processes.