Systems Development Research Articles

Academic English course for the health sciences: evolution towards a flipped classroom

The transition from university face-to-face teaching to blended learning can be challenging. This educational design research study investigated the optimal design for a blended and flipped learning approach to a scientific English course and the impact on student motivation and learning of incorporating pedagogical principles from adult and work-based learning. Using student feedback and teacher reflections, we evaluated three iterative cycles of development from trialling of e-modules in a face-to-face course, to a fully online course, to a blended learning approach with a flipped classroom. We found that student participants were increasingly satisfied over time and conclude that the final course design is the optimal approach for our context. Integrating principles of direct interest from adult learning and involvement of current work supported participant motivation, while self-paced e-modules allowed direct application of new knowledge. Coherence between pre-class, in-class, and post-class activities in the flipped classroom helped ensure relevant learning activities.

Systematic and objective evaluation of Earth system models: PCMDI Metrics Package (PMP) version 3

Abstract. Systematic, routine, and comprehensive evaluation of Earth system models (ESMs) facilitates benchmarking improvement across model generations and identifying the strengths and weaknesses of different model configurations. By gauging the consistency between models and observations, this endeavor is becoming increasingly necessary to objectively synthesize the thousands of simulations contributed to the Coupled Model Intercomparison Project (CMIP) to date. The Program for Climate Model Diagnosis and Intercomparison (PCMDI) Metrics Package (PMP) is an open-source Python software package that provides quick-look objective comparisons of ESMs with one another and with observations. The comparisons include metrics of large- to global-scale climatologies, tropical inter-annual and intra-seasonal variability modes such as the El Niño–Southern Oscillation (ENSO) and Madden–Julian Oscillation (MJO), extratropical modes of variability, regional monsoons, cloud radiative feedbacks, and high-frequency characteristics of simulated precipitation, including its extremes. The PMP comparison results are produced using all model simulations contributed to CMIP6 and earlier CMIP phases. An important objective of the PMP is to document the performance of ESMs participating in the recent phases of CMIP, together with providing version-controlled information for all datasets, software packages, and analysis codes being used in the evaluation process. Among other purposes, this also enables modeling groups to assess performance changes during the ESM development cycle in the context of the error distribution of the multi-model ensemble. Quantitative model evaluation provided by the PMP can assist modelers in their development priorities. In this paper, we provide an overview of the PMP, including its latest capabilities, and discuss its future direction.

Analysis of Gaps in Techno-Economic Analysis to Advance Heliostat Technologies for Concentrating Solar-Thermal Power

Abstract The Heliostat Consortium (HelioCon) was launched in 2021 to advance heliostat technology. One of its first efforts was to do a detailed analysis of gaps in technology and capabilities in the heliostat industry and complete a roadmap study describing high-priority gaps. HelioCon gathered gaps through a series of outreach activities with representatives and experts from industries and research institutes. This paper discusses the gap analysis for the techno-economic analysis (TEA) topic. One of the main objectives of the TEA topic is to relate the cost and performance of heliostats and heliostat components to the overall system performance. In this study, we limit the scope of this topic to the heliostat field, tower, and receiver and do not consider downstream applications or uses of thermal energy. We conducted a thorough review of existing models and compiled a list of the state of the art in open-source tools currently available to researchers. We collected an initial list of gaps for the TEA of heliostats from industry developers and experts. Each gap is briefly described, and the heliostat development cycle stages that the gap impacts are indicated. We ranked the initial list of TEA gaps into tiers depending on their potential impact. For TEA, most of the gaps identified are related to developing models or data. Strictly speaking, none of these gaps are essential for heliostat development, but all would aid in the heliostat development process.

Beyond Bodily Integrity

Beyond Bodily Integrity

Web-Based Digital Cell Library Characterization System

Web-Based Digital Cell Library Characterization System

User-Centered Evaluation Framework to Support the Interaction Design for Augmented Reality Applications

The advancement of Augmented Reality (AR) technology has been remarkable, enabling the augmentation of user perception with timely information. This progress holds great promise in the field of interaction design. However, the mere advancement of technology is not enough to ensure widespread adoption. The user dimension has been somewhat overlooked in AR research due to a lack of attention to user motivations, needs, usability, and perceived value. The critical aspects of AR technology tend to be overshadowed by the technology itself. To ensure appropriate future assessments, it is necessary to thoroughly examine and categorize all the methods used for AR technology validation. By identifying and classifying these evaluation methods, researchers and practitioners will be better equipped to develop and validate new AR techniques and applications. Therefore, comprehensive and systematic evaluations are critical to the advancement and sustainability of AR technology. This paper presents a theoretical framework derived from a cluster analysis of the most efficient evaluation methods for AR extracted from 399 papers. Evaluation methods were clustered according to the application domains and the human–computer interaction aspects to be investigated. This framework should facilitate rapid development cycles prioritizing user requirements, ultimately leading to groundbreaking interaction methods accessible to a broader audience beyond research and development centers.

Making sense of methods and approaches to user involvement

There has been a dramatic growth in the ways of involving users in various product, service, space, and systems development activities. Various categorizations, listings, and mappings have been proposed for making sense of this user-involvement landscape. The present paper introduces the main types of currently available clarificatory mappings used in design for, with, and by users, as well as the shortcomings associated with them. It then proceeds to elaborate how such mappings could be better organized in the future, stressing the importance of distinguishing between techniques, methods, methodologies, and approaches. While sensible mappings are difficult if not impossible to ever achieve regarding techniques and methods, wider approaches in how designer–user relations are organized in time and space do appear to be amenable to differentiation. We elaborate a typology of nine approach-level user-involvement configurations based on resemblance relations, and how these in turn help make sense of wider research areas.

Student adoption of e-learning at makerere university during COVID-19: A structural equation modelling based on the unified theory of acceptance and use of technology

The onset of COVID-19 dealt a severe blow to the education sector in Uganda, leading to the mandatory closure of all learning institutions to mitigate the spread of the virus. Makerere University, a venerable institution in the region, was not exempt from this directive. The initial uptake of e-learning was sluggish due to various factors, including inadequate infrastructure, digital illiteracy among both students and some faculty members, and, most notably, a lack of preparedness in utilizing digital eLearning technologies. The objective of this study was to examine the factors that impacted students’ embrace of eLearning at Makerere University during the COVID-19 pandemic. Employing a quantitative approach, the study utilized questionnaires structured based on the nine constructs of the Unified Theory of Acceptance and Use of Technology model. Between August and December 2021, a questionnaire was distributed to 374 students from two colleges. Structured equation modelling was employed to assess 16 factors that were hypothesized to have an impact on adoption. Effort expectancy emerged as the most robust predictor. Likewise, the behaviour of utilizing eLearning technologies was predominantly impacted by facilitating conditions. Utilizing the UTAUT methodology, this study’s theoretical significance arises from our effort to broaden the existing literature on the utilization of video conferencing software (Zoom) in conjunction with a learning management system (MUELE) during the challenging period of COVID-19, an area that has not been extensively explored. The results offer insights into the embrace and approval of both systems within the framework of a developing nation. This study delivers valuable perspectives for developers of eLearning systems, emphasizing the importance of creating user-friendly platforms that enhance the learner experience. This includes the incorporation of intuitive designs and intelligent features such as chatbots and AI-driven tutoring systems, which adapt to the unique needs of students.

Irrigation with Artificial Intelligence: Problems, Premises, Promises

AbstractProtagonists allege that artificial intelligence (AI) is revolutionising contemporaneous mindscapes. Here, we authoritatively review the status quo of AI and machine learning application in irrigated agriculture, evaluating the potential of, and challenges associated with, a wide range of existential AI approaches. We contend that aspiring developers of AI irrigation systems may benefit from human-centred AI, a nascent algorithm that captures diverse end-user views, behaviours and actions, potentially facilitating refinement of proposed systems through iterative stakeholder feedback. AI-guided human–machine collaboration can streamline integration of user needs, allowing customisation towards situational farm management adaptation. Presentation of big data in intuitive, legible and actionable forms for specialists and laypeople also urgently requires attention: here, AI-explainable interpretability may help harness human expertise, enabling end-users to contribute their experience within an AI pipeline for bespoke outputs. Transfer learning holds promise in contextualising place-based AI to agroecological regions, production systems or enterprise mixes, even with limited data inputs. We find that the rate of AI scientific and software development in recent times has outpaced the evolution of adequate legal and institutional regulations, and often social, moral and ethical license to operate, revealing consumer issues associated with data ownership, legitimacy and trust. We opine that AI has great potential to elicit sustainable outcomes in food security, social innovation and environmental stewardship, albeit such potential is more likely to be realised through concurrent development of appropriate ethical, moral and legal dimensions.

Extracting TLA+ Specifications Out of a Program for a BEAM Virtual Machine

Formal specifications are mathematical descriptions of the desired system functionality. Since they are usually written separately from the software itself, it is important to ensure that the software implements what the specification requires. A common approach to achieve this is to have a specification detailed enough to generate source code but those are rarely written due to expertise required. If code is not generated, then currently there is no straightforward way to reliably show that implementation conforms to initial formal specification. This research attempts to define a way to extract formal TLA+ specification by translating Elixir source code and generating detailed specification to give the system developer the ability to show that it refines the initial one.

Contrast between Brazil and other countries in nutraceutical components of Camelina sativa grains

Camelina sativa, also known as false flax, is a species can be cultivated in a variety of climates, seasons and soil types, due to its short development cycle and tolerance to drought and low temperatures. In the composition of its grains, it presents a high amount of oil and rich in unsaturated fatty acids. In view of this, the objective of this work was to compare the composition of the nutraceutical components of Camelina sativa L. grains cultivated in Brazil and countries in Europe, Asia and North America. About 20 kg of grains were collected and then a homogeneous sample of 1kg of grains was cleaned to perform the centesimal composition of the grains. Afterwards, a search for information was carried out on the cultivation of Camelina sativa L. in other countries and the collection of information on the centesimal composition of the grains of this oleaginous plant. The collection of information was based on obtaining published scientific articles on the nutraceutical composition of Camelina sativa in regions of Europe, Asia and North America. Brazil presents a promising environment for the cultivation of Camelina sativa, with superior performance for the content of stearic acid, linoleic acid, linolenic acid and palmitic acid. The fatty acids profile decreased with the reduction of the minimum air temperature. The mineral material, palmitic acid and linolenic acid are positively correlated.

Fathom: a technology-enhanced learning environment for teaching-learning of expand-reduce skills in software design

Software design problems are often characterized as ill-structured because the requirements are not clearly defined. These problems offer various solution paths and the criteria used to select the solution may not be known initially. The expertise and experience of designers play a crucial role in determining the quality of software design. Less experienced designers often tend to prematurely narrow down their options to a single solution without fully exploring the problem-solution space. This tendency has a negative impact on the overall quality of software design. Studies have shown that systematically expanding the problem space before reducing to problem formulation and exploring the solution space before reducing it to a single solution (expand-reduce skills) improves the quality of the design. We have designed and developed a technology-enhanced learning environment (TELE) named Fathom for scaffolding expand-reduce (ER) skills in software design problems in a data structures course. In this paper, we present three cycles of design, development, and evaluation of Fathom based on the design-based research (DBR) approach. In the first DBR cycle, we identified and evaluated Fathom’s pedagogical features in learning ER skills. In the second cycle of DBR, the aim was to improve the design of Fathom for the learning and transfer of ER skills. Fathom was revised in the third cycle of the DBR to scaffold metacognitive skills. The main contribution of this research is pedagogical design for facilitating the learning of expand-reduce skills in solving software design problems.

Challenges faced by human resources for health in Morocco: A scoping review.

Human resources for health (HRH) play a pivotal role in effective health system operation, yet various impediments challenge sustainable development. This scoping review aimed to explore these challenges and potential solutions in aligning the health workforce to meet the evolving healthcare needs of the Moroccan population. We conducted a scoping review searching PubMed, Science Direct, Cairn and Google Scholar for relevant articles published between 2014 and 2023. Additionally, non-peer-reviewed literature sourced from Ministry of Health consultations and allied websites was included. Among the nineteen studies meeting our inclusion criteria, the majority were cross-sectional and predominantly focused on challenges faced by nurses. While some papers delineated multiple HRH challenges (5/19), the rest addressed specific challenges. The identified challenges span organizational and personal levels. Organizationally, the focus was on training, lifelong learning, continuing education, health coverage and shortages, and job satisfaction. At a personal level, HRH in the public health sector encountered challenges such as burnout, stress, and broader occupational health concerns. The reviewed publications underscored a spectrum of challenges necessitating robust policy interventions. Despite promising developments in the Moroccan healthcare system, addressing the unequal urban-rural HRH distribution, augmenting funding, and enhancing HRH quality of life stand as pivotal imperatives.

Minding the Gap: Tools for Trust Engineering of Artificial Intelligence

There is growing consensus and appreciation for the importance of trust in the development of Artificial Intelligence (AI) technologies; however, there is a reliance on principles-based frameworks. Recent research has highlighted the principles/practice gap, where principles alone are not actionable, and may not be wholly effective in developing more trustworthy AI. We argue for complementary, evidence-based tools to close the principles/practice gap, and present ELATE (Evidence-Based List of Exploratory Questions for AI Trust Engineering) as one such resource. We discuss several tools or approaches for making ELATE actionable within the context of systems development.

Bioactivity of hydroalcoholic extracts from tropaeolum majus L. (tropaeolaceae) on the germination, initial plant development and cell cycle of Lactuca sativa L

ABSTRACT Natural products are usually considered harmless; however, these substances need to be consumed with caution. Biological assays with plant models are a suitable alternative for prospective studies to assess natural product-initiated toxicity. The aim of this study was to examine the toxic potential of leaf and flower extracts derived from Tropaeolum majus L. a widely used plant in traditional medicine. Seeds of Lactuca sativa L. were exposed to T. majus extracts and based upon the seedling growth curve values, the 50% Inhibition Concentration (IC50) was calculated and applied for cell cycle analysis exposure. Both extracts contained organic acids, proteins, amino acids, and terpene steroids. Sesquiterpene lactones and depside were detected in leaf extracts. The higher concentration tested exhibited a marked phytotoxic effect. The extracts induced clastogenic, aneugenic cytotoxic, and potential mutagenic effects. The possible relationships between the classes of compounds found in the extracts and effects on cells and DNA were determined.

Casein kinase 1 AELs promote senescence by enhancing ethylene biosynthesis through phosphorylating WRKY22 transcription factor.

Leaf senescence is a complex process regulated by developmental and environmental factors, and plays a pivotal role in the development and life cycle of higher plants. Casein kinase 1 (CK1) is a highly conserved serine/threonine protein kinase in eukaryotes and functions in various cellular processes including cell proliferation, light signaling and hormone effects of plants. However, the biological function of CK1 in plant senescence remains unclear. Through systemic genetic and biochemical studies, we here characterized the function of Arabidopsis EL1-like (AEL), a CK1, in promoting leaf senescence by stimulating ethylene biosynthesis through phosphorylating transcription factor WRKY22. Seedlings lacking or overexpressing AELs presented delayed or accelerated leaf senescence, respectively. AELs interact with and phosphorylate WRKY22 at Thr57, Thr60 and Ser69 residues to enhance whose transactivation activity. Being consistent, increased or suppressed phosphorylation of WRKY22 resulted in the promoted or delayed leaf senescence. WRKY22 directly binds to promoter region and stimulates the transcription of 1-amino-cyclopropane-1-carboxylate synthase 7 gene to promote ethylene level and hence leaf senescence. Our studies demonstrated the crucial role of AEL-mediated phosphorylation in regulating ethylene biosynthesis and promoting leaf senescence by enhancing WRKY22 transactivation activity, which helps to elucidate the fine-controlled ethylene biosynthesis and regulatory network of leaf senescence.

Industries, frameworks, and key drivers of lean startup: a systematic literature review

Industries, frameworks, and key drivers of lean startup: a systematic literature review

Heat absorption/release efficiency betterment of phase change material inside a shell-and-tube latent heat storage system under six different conditions of tube and fins

Researchers are exploring innovative solutions for thermal energy storage to address the challenges posed by intermittent renewable sources, enhance energy efficiency, and contribute to the global shift towards cleaner and more sustainable energy practices. In the pursuit of an optimal system to improve the heat release/absorption efficiency of phase change materials (PCMs), a unique shell and tube latent heat storage system with four rectangular fins was designed. The melting and solidification behaviors of the material in this device were examined by manipulating the tube's position within the shell and fins around the tube. Six different cases were considered such as case A (tube in the center of the shell), case B (tube at the top of the shell), case C (tube at the bottom of the shell), case D (tube in the center of the shell with fins on its sides), case E (tube at the top of the shell with fins located in its bottom section), and case F (tube at the bottom of the shell with fins located in its top section). Cases D and E were the best options for absorbing and releasing heat in the shortest time. However, it should be noted that case F was faster during the melting process and dropped behind in the final stages. The authors proposed that if achieving a balanced result without incurring additional costs is essential, case D is a suitable option since it offers reasonable performance in melting and solidification processes. However, suppose researchers and developers of energy storage systems are seeking higher performances where heat absorption and release occur much more rapidly. In that case, it is suggested to construct one of the cases, E or F, and implement a rotational mechanism to enable access to the other case. Based on the outcomes, cases D and F needed 6235 s and 7552 s, respectively, to fully melt. While all cases even required more than 3 h to solidify 80 % of the PCM. The complete melting speed of Case F is 21.12 % faster than that of Case D. Additionally, the time required for 50 % solidification is 14.79 % faster for Case E compared to Case D. During 3 h, this system could absorb 1172 kJ of energy (cases D and F) and release 893 kJ of energy (cases D and E).

A Unified Model-Based System and Integrated Logistics Support Architecture Modeling Framework

Model-based system engineering(MBSE) uses the architecture model to drive system development. It has been widely used in aeronautical and aerospace systems development. Integrated Logistics Support(ILS) design is an essential part of system engineering. Still, there is no clear guidance on how to perform model-based ILS architecture modeling. This paper proposes a unified model-based system and ILS architecture modeling framework, which analyzes the relationship between the system and ILS in different life cycle concepts and gives a clear ILS architecture modeling approach. The unified system and ILS architecture modeling way will take full advantage of the model from the mission level to the system level to guarantee the different architecture perspectives consistency and save cost and time in the engineering practice.

Fetal agenesis of the corpus callosum: Clinical and genetic analysis in a series of 40 patients

ObjectivesThis study aimed to explore the genetic causes of agenesis of the corpus callosum (ACC) and assess the utility of karyotype analysis, copy number variation sequencing (CNV-seq), and whole-exome sequencing (WES) to genetically diagnose fetal ACC. MethodsWe retrospectively examined 40 fetuses diagnosed with ACC who underwent prenatal ultrasonography or magnetic resonance imaging between January 2019 and October 2023. Genetic tests were conducted on the fetuses using karyotype analysis or CNV-seq as the first-line diagnosis. WES was performed if aneuploid and pathogenic CNVs were excluded. ResultsAmong the 40 fetuses, 29 (72 %) had non-isolated ACC and 11 (28 %) had isolated ACC. Cerebellar dysplasia and hydrocephalus were the most common abnormal developments in the central nervous system. Twenty-eight patients underwent karyotype analysis, with a detection rate of 14 % (4/28). Twenty-six patients underwent CNV-seq; three patients were found to have pathogenic CNVs, with a detection rate of 12 % (3/26). Thirty-three fetuses with no findings of karyotype analysis or CNV-seq were subsequently tested using WES, with a detection rate of 36 % (12/33). Overall, the total diagnostic yield was 48 % (19/40), and monogenic etiology accounted for 30 % (12/40). The genetic detection rate of fetal non-isolated ACC (62 %, 18/29) was higher than that of isolated ACC (9 %, 1/11). ConclusionPrenatal genetic analysis of fetuses with ACC is clinically significant, with monogenic disorders being the main cause. WES may enhance the detection rate of fetuses with ACC with negative karyotype analysis or CNV-seq results.