System-based Approach Research Articles

Early Phase Software Dependability Analysis: A Neutrosophic Inference System-based Approach

Early Phase Software Dependability Analysis: A Neutrosophic Inference System-based Approach

DDDR-33. TRANSCRIPTOMICS-BASED NOVEL DRUG DISCOVERY IN DIFFUSE MIDLINE GLIOMA

Abstract Introduction. Pediatric high-grade gliomas are the most common cause of cancer-related death in children, of which the most malignant and devastating tumors include diffuse midline glioma (DMG). Recent availability of tumor samples and advances in next-generation sequencing enable the profiling of thousands of molecular features in DMG. We employ a system-based approach that uses gene expression as a representation of the molecular state, providing an avenue for therapeutic discovery. Previously, we used this approach to identify repurposed candidates for DMG; however, the final candidate had poor brain penetration, prompting us to discover novel compounds with better brain penetration. To apply it to novel compound discovery, we need the expression profiles of all library compounds, which is impractical for millions of compounds. To overcome this, we have developed a platform, Gene expression profiles Predictor on chemical Structures (GPS), that incorporates machine learning algorithms which leverage existing drug-induced gene expression profiles to predict gene expression based on compound structure. methods. DMG RNA-Seq samples were acquired from St. Jude Children’s Research Hospital and Children’s Brain Tumor Network (CBTN). We developed deep learning autoencoder to search reference normal tissues from Genotype-Tissue Expression (GTEx). A DMG meta-signature was created and fed into GPS to predict drug candidates from the Enamine CNS library, seven of which were experimentally tested in vitro and the most promising one subsequently validated in vivo. Results. Cell proliferation analyzed by MTS assay showed three compounds with IC50< 50 µM in K27M-mutant DMG cell lines (SF8628, DIPG007, SU-DIPG36). Toxicity study showed no adverse effects in the mice treated with 100-200 mg/kg of the most promising compound (IC50 = 1.9 µM in DMG cells). Conclusion. Our novel computational framework leverages deep learning to fill the gap in drug discovery in DMG. Work is underway to determine antitumor activity, brain penetration (via HPLC) and survival benefit in the mice bearing DMG PDX treated with the lead compound.

Leaders’ perceptions of integrating health and social services after a structural reform in Finland

Abstract Background Health and social service system was reformed in Finland at the beginning of 2023. The responsibility for organizing health and social services was transferred from c. 300 municipalities to 22 well-being services counties (WBSCs). One aim of the reform was to support integration between and within health and social services. The purpose of this study is to describe strategic leadership approaches to implementing integrated care. The study highlights the issues that should be paid attention to when integrated care practices are implemented. Methods The qualitative study utilized semi-structured interviews collected from the upper-level leaders of the WBSCs (n = 25) responsible for the implementation of the reform. The interviewees represented 11 WBSCs. The data were collected in May-August 2023. Inductive content analysis was used for data analysis. Results Four strategic leadership approaches to implementing integration were identified: 1) service user-based leadership approach, 2) partnership-based leadership approach, 3) service system-based leadership approach, and 4) knowledge-based leadership approach. Most of the interviewees combined several different leadership approaches in their talk. Each approach emphasized different aspects of implementing integration and the contextual factors that have to be addressed at different levels of the health and social service system. Conclusions While the macro level reform toward more integrated health and social service system was implemented, the findings reveal that more efforts are required at the meso and micro levels of the system to fulfill the goal of integrated services. The paper highlights the importance of strategic leadership and its different aspects in implementing integrated care at different levels of the system. Key messages • The paper provides a way of comprehending integration from the perspective of strategic leadership. • The conceptualization through the different leadership approaches may facilitate forming a shared vision for integration among leaders and managers.

Stochastic error propagation with independent probability distributions in LCA does not preserve mass balances and leads to unusable product compositions—a first quantification

Abstract Purpose To mitigate the effects of the triple planetary crisis of climate change, pollution and biodiversity loss, a system-based approach to estimating environmental impacts—such as life cycle assessment (LCA)—is critical. International standards recommend using uncertainty analysis to improve the reliability of LCA, but there has been debate about how to do this for many years. In particular, in order to characterise uncertainty in the inputs and outputs of each unit process in an LCA, a prevalent approach is to represent each one by an independent probability distribution. Thus, any physical relationships between inputs and outputs are ignored, which causes two potential errors during Monte Carlo simulation (a popular method for propagating uncertainty through an LCA model). First, the sum of the inputs to a unit process may not equal the sum of the outputs (i.e. there may be a mass imbalance), and second, the proportions of each input and output may be unrealistic (e.g. too much cement in a concrete production unit process). However, while some literature has discussed the problem, it has not yet been quantified. Methods Therefore, this paper investigates the extent to which existing uncertainty characterisation approaches, where there is a lack of parameterisation or correlations in databases, lead to mass imbalances and unrealistic variations in unit process compositions when performing uncertainty analysis. The matrix-based structure of LCA and the standard uncertainty analysis procedure using Monte Carlo (MC) simulation to propagate uncertainty are described. We apply the procedure to a concrete production process. Two uncertainty characterisation approaches are also explored to assess the effect of data quality scoring on mass imbalances and the mass contribution of each exchange (i.e. production compositions). Results and discussion For median data quality scores and using a typical (basic + additional uncertainty) uncertainty characterisation approach, the 1000-iteration MC simulation leads to mass imbalances ranging from − 49 to + 30% of the original mass and found that the mass imbalance exceeded existing prescribed plausibility limits on 62.7% of MC runs. On average across all exchanges, the exchange mass exceeded the 5% plausible variation limit on 77.7% of MC runs. This means that the final concrete product compositions are unlikely to be realistic or functionally equivalent to one another. We discuss the appropriateness of using universal variances for the underlying normal distribution for data quality scores (“additional uncertainty”) when input exchange quantities are of different scales. Additionally, we discuss potential solutions to the mass imbalance problem and their suitability for implementation at a database scale. Conclusions We have quantified, for the first time, the significant impact that uncertainty characterisation via independent probability distributions has on maintaining mass balances and plausible product compositions in unit processes. To overcome these challenges, databases would need to be parameterised and have the ability to sum quantities to perform mass balance checks during uncertainty analysis.

Roles and experiences of nurses in primary health care during the COVID-19 pandemic: a scoping review

BackgroundNurses form the frontline of the healthcare system’s response to both epidemics and pandemics, and this was especially the case during the novel coronavirus disease (COVID-19) pandemic. Although the influence of COVID-19 on nursing roles has attracted interest, there is no integrated knowledge of nurses’ roles and experiences in primary health care settings during the COVID-19 pandemic. Thus, this study identifies the roles and experiences of nurses in primary health care during the COVID-19 pandemic.MethodsA scoping review study design and the Joanna Briggs Institute methodology were used. The study searched five electronic databases (PubMed, CINAHL, EMBASE, Scopus, and PsychINFO) and included studies published in English from March 2020 to June 2023 that focused on the roles and experiences of nurses (participants) during COVID-19 (concept) in primary health care settings (context).ResultsFourteen articles were selected for review, involving a total of 1,487 nurses as study participants. The various roles undertaken by nurses in primary health care settings were categorized as comprehensive care providers, supporters and empowerers, coordinators and collaborators, information navigators, and change agents. Challenges and strategies are multilevel intrapersonal, interpersonal, organizational, community, and societal issues, but are not mutually exclusive.ConclusionsThe pandemic-induced challenges revealed primary health care nurses’ vital and indispensable roles and resilience. They also fostered a heightened awareness of technological influence on the progression of primary health care in the current milieu. Policymakers and healthcare organizations need to integrate primary health care nurses’ expanding and emerging roles within the scope of practice, ensuring their effective implementation without excessive regulatory constraints. This study emphasizes the importance of developing multilevel interventions to address the support needs of primary health care nurses through a system-based approach. Building a strong infrastructure to support nurses’ self-care, offering continuing professional development opportunities, and securing official government recognition will be essential for enhancing the resilience of primary healthcare nurses in preparation for future, potentially devastating pandemics.

Improving the Timely Delivery of Postoperative Radiation in Head and Neck Cancer

The time that elapses between a patient's ablative tumor resection and indicated adjuvant radiation has a significant impact on an individual's local tumor control and survival, and its optimization is in the best interest of the patient. Furthermore, it is a recognized treatment-related quality metric that can have bearing on future provider compensation. Despite these important driving considerations, compliance rates with established goals are low, recently measured to be <50%. Making meaningful and lasting improvements in this requires a system-based approach. This article seeks to provide clinicians practical tools to apply lean health care and flow management principles to identify chief obstacles to timely care in their systems, and effective strategies to overcome common bottlenecks.

An adapted taxonomy and framework for monitoring road safety strategies: a case study of Morocco.

Traditional approaches to monitoring road safety have primarily focused on measuring outcomes such as the number of fatalities and injuries. While effective in capturing overall trends, this macroscopic approach often overlooks the underlying causes of unsafe conditions. Recognizing these limitations, many countries now embrace a safe system-based approach, which emphasizes a holistic view of road safety, considering various elements and their interactions. In response to this shift, this study introduces a five-step framework designed to provide comprehensive coverage and tailored assistance in selecting and utilizing appropriate Road Safety Indicators (RSIs) for more effective performance monitoring. The framework integrates a novel RSIs taxonomy aligned with critical elements of the safe system. It also incorporates an MCDA-based approach to account for decision-makers' preferences when selecting suitable RSIs. A case study demonstrates the practical application of the proposed steps, including the identification, classification, selection, and development of descriptive sheets for each selected RSI, as well as the continuous updating of the RSIs set. The findings offered valuable insights into the commonly used indicators in international road safety reports, while also revealing the limitations of currents metrics and data in fully capturing critical elements and hierarchical level within the road safety management system.

Framework assessment of sustainability: Methodology for evaluating the conformance of fishery and aquaculture management systems to FAO guidelines

Sustainability is about meeting the needs of current generations without compromising those of future generations. For fished and aquacultured products, sustainability is often gauged on an individual fishery or farm basis but can be driven by a well-designed and implemented regulatory management system, or set of laws, rules, and policies promulgated by a governmental entity. To achieve global coverage via current assessment approaches requires enormous effort and resources due to the sheer number of individual operating units. System assessments are well established in assuring seafood safety, but much less so in regard to sustainability. This paper presents a tool to measure sustainability based on the prevailing regulatory management system and invites other researchers and practitioners to gauge the applicability of the methodology to new contexts. Evaluating how management systems support sustainable practices is key for assessing current reality and planning change. The methodology presented is based on international criteria for sustainability set forth in United Nations Food and Agriculture Organization (FAO) guidelines for the ecolabelling of fish and fishery products as well as aquaculture certification. The assessment tools are the distillation of qualitative criteria found within the FAO guidelines into simple propositions called “Topics of Pertinence” that enable a straightforward cross-checking of whether the requirements and provisions of regulatory management systems reflect broadly accepted sustainability criteria in fisheries and aquaculture sectors. Assessments document what management systems aim to do via laws, regulations, and policies, and verify mechanisms within the systems that support implementation and compliance. While other sustainability assessments exist, the methodology described here is unique in that it is the only process that provides a system-based approach targeting higher management levels, which can increase global coverage of sustainability assessment from the current lower-tiered approach of certifying at individual production entities.

Zein nanoencapsulation enhances the antifungal activity of thymol for postharvest decay control in bananas

AbstractThe current work describes a nanoparticle system-based approach to enhance the antifungal activity of thymol, a ubiquitous natural antifungal phenolic compound, in postharvest control against banana anthracnose. Thymol was encapsulated within the amphiphilic protein zein by high-shear emulsification, yielding highly dispersible thymol-loaded zein nanoparticles with a high encapsulation efficiency (70%). These particles have an average diameter of 300 nm with spherical morphology, smooth interface, and matrix-type internal structure, as supported by comprehensive structural characterization (dynamic light scattering, transmission electron microscopy and atomic force microscopy). Based on a 40-d storage stability test, thymol was effectively retained within the nanoparticles at 4 °C and ambient room temperature (99% and 97% retention, respectively), despite thymol’s instability and volatility. Antifungal activity assessment against Colletotrichum musae, one of the predominant pathogens that cause banana anthracnose, showed a 200- to 300-fold improvement in the in vitro antifungal activity of thymol. Moreover, the application of thymol-loaded zein nanoparticles as a spray component for banana postharvest treatment demonstrated the efficacy of thymol-loaded zein nanoparticles in preventing and delaying the formation of initial symptoms of banana anthracnose. This appears to arise from the thymol-loaded zein nanoparticles depositing as a film on the banana epidermis, as revealed by atomic force microscopy. Overall, this nanoparticle system offers a new avenue for the design of effective antifungal materials with potential applications in combatting postharvest diseases. Graphical abstract

Imaging in Erdheim-Chester Disease.

Erdheim-Chester disease (ECD) is a rare, multisystemic, inflammatory, non-Langerhans cell histiocytic neoplasm. The discovery of recurrent and somatic mutations in the mitogen-activated protein kinase signaling pathway, most commonly BRAFV600E, has led to a reclassification of ECD from an inflammatory disorder to a neoplastic process. It is now included in the revised 2016 World Health Organization classification of hematopoietic tumors and in the Langerhans group in the revised 2016 Histiocytosis Classification of the Histiocyte Society. When symptomatic, ECD most commonly manifests with bone pain and fatigue. Also, neurologic manifestations, central diabetes insipidus, exophthalmos, and periorbital xanthelasma-like lesions are frequently encountered. Pathologic findings may vary depending on the site of biopsy and may display a spectrum of features. Thus, due to the diverse clinical presentation and variable histologic findings, imaging can often show the first sign of the disease. Radiologic findings are, however, interpreted in conjunction with clinical and histologic findings to establish the diagnosis of ECD. From providing classic findings that facilitate diagnosis to helping radiologists determine the extent of disease and predicting a prognosis, the role of radiology in ECD has evolved with the understanding of the disease itself. Insights into the molecular pathogenesis and the development of targeted therapeutic agents along with approval of vemurafenib and cobimetinib have necessitated revision of the guidelines for the management of ECD. The authors discuss various radiologic findings of ECD and differential diagnoses by using an organ system-based approach and briefly describe the revised consensus recommendations for evaluation, diagnosis, and treatment based on the International Medical Symposia on ECD from a radiologist's perspective. ©RSNA, 2024 Supplemental material is available for this article. The full digital presentation is available online.

Evaluation of LoRa Network Performance for Water Quality Monitoring Systems

Conserving water resources from scarcity and pollution is the basis of water resource management and water quality monitoring programs. However, due to industrialization and population growth in Malaysia, which have resulted in poor water quality in many areas, this program needs to be improved. A smart water quality monitoring system based on the internet of things (IoT) paradigm was designed to analyze water conditions in real time and enable effective water management. Long-range (LoRa) application of the low-power, wide-area networking concept has become a phenomenon in IoT smart monitoring applications. This study proposes the implementation of a LoRa network in a water quality monitoring system-based IoT approach. The LoRa nodes were embedded with measuring sensors pH, turbidity, temperature, total dissolved solids, and dissolved oxygen, in the designated water stations. They operate at a transmission power of 14 dB and a bandwidth of 125 kHz. The network properties were tested with two different antenna gains of 2.1 dBi and 3 dBi, with three different spread factors of 7, 9, and 12. The water stations were located on the Sungai Pantai and Sungai Anak Air Batu rivers on the Universiti Malaya campus, Malaysia. Following a dashboard display and K-means analysis of the water quality data received by the LoRa gateway, it was determined that both rivers are Class II B rivers. The results from the evaluation of LoRa performance on the received strength signal indicator, signal noise ratio, loss packet, and path loss at best were −83 dBm, 7 dB, &lt;0%, and 64.41 dB, respectively, with a minimum received sensitivity of −129.1 dBm. LoRa has demonstrated its efficiency in an urban environment for smart river monitoring purposes.

Geographic Information System-Based Approach and Analysis of Housing Mismatches in Searches during Housing Selection

This study aimed to explore the spatial interaction between search flow and house price levels. It utilized migration flow data from 2011 and house price data from the same year in Greater Manchester, United Kingdom. The methodology included Chi-square tests and a series of visual maps to explore and visualize the relationship between current areas and search areas. The study examined five house price ranges with matches and mismatches between search patterns and current patterns and tried to illuminate the underlying causes. The research results could prove beneficial for policymakers and planners in discerning distinct migratory patterns and geographical regions, thereby facilitating the formulation of well-informed decisions.

A Multi-Objective Ant Colony System-Based Approach to Transit Route Network Adjustment

A Multi-Objective Ant Colony System-Based Approach to Transit Route Network Adjustment

Infection prevention and control in Dutch general practices before and during the COVID-19 pandemic and its implications for pandemic preparedness and seasonal respiratory epidemics: a qualitative study on lessons learned

BackgroundThe COVID-19 pandemic has prompted a re-evaluation of infection prevention and control (IPC) in general practices, highlighting the need for comprehensive IPC implementation. This study aimed to evaluate healthcare workers’ (HCWs) experiences and perspectives regarding IPC in general practices before and during the COVID-19 pandemic, and its implications for post-pandemic IPC implementation.MethodsThis qualitative study involved semi-structured, in-depth interviews during two time periods: (1) prior to the COVID-19 pandemic (July 2019-February 2020), involving 14 general practitioners (GPs) and medical assistants; and (2) during the COVID-19 pandemic (July 2022-February 2023), including 22 GPs and medical assistants. Data analysis included thematic analysis that addressed multiple system levels.ResultsFindings indicated a shift towards comprehensive IPC implementation and organisation during the pandemic compared to the pre-pandemic period. Since the Omicron variant, some general practices maintained a broad set of IPC measures, while others released most measures. HCWs’ future expectations on post-pandemic IPC implementation varied: some anticipated reduced implementation due to the desire to return to the pre-pandemic standard, while others expected IPC to be structurally scaled up during seasonal respiratory epidemics. Main contextual challenges included patient cooperation, staff shortages (due to infection), shortages of IPC materials/equipment, and frequently changing and ambiguous guidelines. Key lessons learned were enhanced preparedness (e.g., personal protective equipment supply), and a new perspective on care organisation (e.g., digital care). Main recommendations reported by HCWs were to strengthen regional collaboration within primary care, and between primary care, public health, and secondary care.ConclusionHCWs’ experiences, perspectives and recommendations provide insights to enhance preparedness for future epidemics and pandemics, and sustain IPC in general practices. For IPC improvement strategies, adopting an integrated system-based approach that encompasses actions across multiple levels and engages multiple stakeholders is recommended.

Enhancing DevOps Engineering Education Through System-Based Learning Approach

Abstract System-based learning (SBL) in engineering domains integrates systems thinking and engineering principles to develop a system. In software engineering, to develop software using the DevOps process, using SBL environment, students gain a comprehensive understanding of the DevOps software development process and apply theoretical concepts to real-world problems by implementing a complete system pipeline, encompassing the design, development, testing, and deployment of software systems. This article introduces an SBL approach to teaching DevOps engineering, addressing the limitations of traditional methods in equipping students with the necessary skills and knowledge. To evaluate the effectiveness of the SBL approach, a case study was conducted to teach a DevOps course within an undergraduate software engineering program. Students completed a project involving the implementation of a system pipeline from requirement gathering to deployment. Results from the case study demonstrate that the SBL approach has improved students’ understanding of DevOps engineering and the software development big picture. The approach enhanced students’ systems thinking and problem-solving capabilities and prepared students for the challenges of a rapidly evolving technological landscape.

Inter-brain entrainment (IBE) during interoception. A multimodal EEG-fNIRS coherence-based hyperscanning approach

This work examined the impact of interoceptive manipulation and the presence of a shared goal on inter-brain entrainment (IBE) during a motor synchronization task. A multimodal functional Near Infrared Spectroscopy − Electroencephalogram (fNIRS-EEG) system-based hyperscanning approach was applied to 13 dyads performing the motor synchrony task during an interoceptive (focus on the breath) and control condition. Additionally, two version of the motor task—one with and one without a clearly defined common goal—were presented to participants to emphasize the task’s collaborative purpose. The multimodal approach was exploited to record the electrophysiological (EEG) cortical oscillation and hemodynamic (oxy-Hb and deoxy-Hb) levels. Results revealed significant correlations between EEG delta, theta, and alpha band and hemodynamic oxy-Hb in the left compared to right hemisphere for the interoceptive confronted with the control condition. This significant EEG/fNIRS IBE correlation was also found for delta and theta band whereas the task was presented with an explicit shared goal confronted with the no-social version. In addition to separate functional connectivity EEG and fNIRS analysis, this study proposed a novel analysis pipeline including statistical tests for examining the coherence between functional connectivity EEG-fNIRS signals within couples. Besides proposing methodological advancements on EEG-fNIRS signals hyperscanning analysis, this research demonstrated that, in dyads undertaking a motor synchronization task, both the interoceptive attention to respiration and an explicit joint intention activate left anterior regions.

Approach to the diagnosis and management of dysbiosis.

All microorganisms like bacteria, viruses and fungi that reside within a host environment are considered a microbiome. The number of bacteria almost equal that of human cells, however, the genome of these bacteria may be almost 100 times larger than the human genome. Every aspect of the physiology and health can be influenced by the microbiome living in various parts of our body. Any imbalance in the microbiome composition or function is seen as dysbiosis. Different types of dysbiosis are seen and the corresponding symptoms depend on the site of microbial imbalance. The contribution of the intestinal and extra-intestinal microbiota to influence systemic activities is through interplay between different axes. Whole body dysbiosis is a complex process involving gut microbiome and non-gut related microbiome. It is still at the stage of infancy and has not yet been fully understood. Dysbiosis can be influenced by genetic factors, lifestyle habits, diet including ultra-processed foods and food additives, as well as medications. Dysbiosis has been associated with many systemic diseases and cannot be diagnosed through standard blood tests or investigations. Microbiota derived metabolites can be analyzed and can be useful in the management of dysbiosis. Whole body dysbiosis can be addressed by altering lifestyle factors, proper diet and microbial modulation. The effect of these interventions in humans depends on the beneficial microbiome alteration mostly based on animal studies with evolving evidence from human studies. There is tremendous potential for the human microbiome in the diagnosis, treatment, and prognosis of diseases, as well as, for the monitoring of health and disease in humans. Whole body system-based approach to the diagnosis of dysbiosis is better than a pure taxonomic approach. Whole body dysbiosis could be a new therapeutic target in the management of various health conditions.

Poles and residues of lossy and dispersive electromagnetic metamaterials

This paper proposes a system-based pole-residue approach to describe loss and dispersion in double-positive (DPS), epsilon-negative (ENG), and epsilon-near-zero (ENZ) isotropic metamaterials. The matrix pencil (MP) method extracts the poles and residues from the damped sinusoids of the singular expansion (SEM) of the impulse responses of the transmitted and reflected waves. The complex values of poles and residues serve as a basis for a computational tool to discriminate between lossless, lossy, and dispersive materials. The extracted poles and residues can also be used to classify the material under test as a DPS, an ENG, or an ENZ metamaterial. The proposed method delivers reliable results even with noisy transmission and reflection data.

Impact of the socio-economic factors on the participation of SMEs in territorial development in Algeria: local agri-food system-based approach

impact of the socio-economic factors on the participation of SMEs in territorial development in Algeria: local agri-food system-based approach

A Samsung production system-based approach to improve manufacturing process management in Vietnamese firms

Today, more and more Vietnamese firms consider continuous improvement as the best way to increase their manufacturing capability. This paper aims to illustrate the effectiveness of manufacturing processes management from the Samsung production system (SPS) approach when it was implemented to improve capability of existing production process in Vietnamese firms. The paper is a combination of descriptive and field research to demonstrate how SPS principles are appropriate for five real industry cases in particular and all Vietnamese manufacturing companies in general. In five cases, the usage of SPS-based tools has turned out to be fruitful. They solved problems of continuous improvement management in Vietnamese firms and created significant achievements in quality improvement and productivity increase. The paper investigates the core value of Samsung’s continuous process improvement. The way that Samsung has used to improve quality and profitability simultanously can be adapted by manufacturing companies.