Essential Activity Research Articles

Essential Oil Composition and Antioxidant Activity of Oregano and Marjoram as Affected by Different Light-Emitting Diodes.

Oregano and marjoram are important aromatic spices in the food industry, as well as medicinal plants with remarkable antioxidant properties. Despite their popularity, little is known about treatments that would influence the antioxidant capacity of essential oils. In this study, different spectra of LED light, namely blue, red, white, blue-red, and natural ambient light as a control, were applied to assess the essential oil content, composition, flavonoid, phenolic, and antioxidant capacity of oregano and marjoram. GC-MS analysis revealed thymol, terpinen-4-ol, sabinene, linalool, p-cymene, and γ-terpinene as the main compounds. In oregano, the thymol content ranged from 11.91% to 48.26%, while in marjoram it varied from 17.47% to 35.06% in different samples. In oregano and marjoram, the highest phenolic contents were in blue (61.26 mg of tannic acid E/g of DW) and in white (65.18 mg of TAE/g of DW) light, respectively, while blue-red illumination caused the highest increase in total flavonoids. The antioxidant activity of oregano and marjoram extract was evaluated using two food model systems, including DPPH and β-carotene bleaching. The highest antioxidant capacity was obtained in control light in oregano and blue-red light in marjoram. The results provide information on how to improve the desired essential oil profile and antioxidant capacity of extracts for industrial producers.

‘I’d be lost without my smartphone’: a qualitative analysis of the use of smartphones and tablets by people living with dementia, mild cognitive impairment, and their caregivers

Objectives Smartphone and tablet devices appear to offer some benefits for enhancing the quality of life of people living with dementia, especially enabling them to stay independent and socially engaged in the early stages of the disease. However, there remains a need to understand the ways that these devices may enhance the lived experience of people living with dementia, mild cognitive impairment, and their caregivers. Methods We interviewed 29 people living with dementia, mild cognitive impairment, and their caregivers to explore their experiences of and attitudes towards smartphones and tablets. Results We generated three main themes: smart devices in practice as a person living with cognitive impairment; living in a digital world, and smart devices as appropriate and easily accessible support for everyday living. Smart devices were seen as valuable, versatile tools to complete essential and meaningful activities, and as necessary devices to participate in modern life. There was a strong desire for greater support to learn to use smart devices to facilitate living well with cognitive impairment. Conclusion The lived experience of people living with dementia and mild cognitive impairment emphasises the central role of smart devices in their lives, and the need for research to move beyond rehearsal of what is needed to co-production and evaluation of smart technology-based educational interventions.

Influence of Season and Habitat on the Essential Oils Composition, Allelopathy, and Antioxidant Activities of Artemisia monosperma Delile

Plants belonging to the Artemisia genus (Asteraceae) are widely distributed worldwide and have many ethnopharmacological, traditional, therapeutic, and phytochemical aspects. Artemisia monosperma is an important aromatic plant due to its traditional and therapeutic uses and phytochemical diversity, including essential oils (EOs). The EO chemical profile of aromatic plants has been reported to be affected by exogenous and endogenous factors. Geographic and seasonal variations are crucial factors shaping the chemical composition of the EO. Herein, the variations of the yields, chemical profiles, and allelopathic and antioxidant activities of A. monosperma EOs collected from three regions in four seasons were assessed. A slight variation in the oil yields was observed among regions and seasons, while the chemical profile, characterized via GC-MS, exhibited significant quantitative and qualitative variation among either regions or seasons. Sesquiterpenes were the main components of all EOs, with significant variation in concentration. In most EO samples, the summer-plant samples had the highest concentration of sesquiterpenes, followed by spring, winter, and autumn. The 7-epi-trans-sesquisabinene hydrate, 6-epi-shyobunol, dehydro-cyclolongifolene oxide, isoshyobunone, diepicedrene-1-oxide, dehydro-aromadendrene, and junipene were the main compounds of all the EO samples. The extracted EOs of the A. monosperma samples showed considerable allelopathic activity against the weed Dactyloctenium aegyptium and the crop Lactuca sativa. A significant variation in allelopathic activity was observed among samples collected during different seasons, while the samples of the autumn and summer seasons had more potential. Also, L. sativa was more affected by the EO compared to D. aegyptium, reflecting that weeds are more resistant to allelochemicals. In this context, the EOs of A. monosperma samples exhibited substantial antioxidant activity with the same pattern of allelopathic activity, whereas the samples of the autumn and summer seasons showed higher antioxidant activity. These biological activities of the EOs could be ascribed to the higher content of oxygenated compounds. The present study revealed that seasons have a substantial effect on EO production as well as composition. In consequence, the biological activities varied with the variation of the chemical profile of the EO. These results show the importance of season/timing for sampling aromatic plants.

Analysing younger online viewers’ motivation to watch video game live streaming through a positive perspective

<p><big>The paper focuses on younger online viewers’ motivation to watch video game live streaming on live streaming platforms. Unlike existing scholars, it analyses younger online viewers’ watching motivation through a positive perspective and draws on the Play-Others-Downtime theory (P-O-D theory) and the motivation theory to establish the research model. By analysing 397 samples based on the variance-based structural equation modelling and partial least squares path modelling (SEM-PLS), the results present that younger viewers’ entertainment, social and leisure purposes positively affect their watching motivation. Control variables (i.e., gender, education background, and income level) demonstrate insignificant effects across the model. Considering the influence of the COVID-19 pandemic, watching video game live streaming is essential entertainment and social activities for younger adults. Future studies should identify the positive impact of video game live streaming and guide younger viewers to participate appropriately in this activity.</big></p>

Family participation in essential care activities in adult intensive care units: An integrative review of interventions and outcomes.

To systematically review interventions and outcomes regarding family participation in essential care in adult intensive care units. Patients and relatives may benefit from family participation in essential care activities. An integrative literature review. The following databases were systematically searched from inception to January 25, 2021: PubMed, CINAHL, EMBASE, MEDLINE, Cochrane, Web of Science and reference lists of included articles. Studies were included when reporting on family participation in essential care activities in intensive care including interventions and outcomes. Quality of the studies was assessed with the Kmet Standard Quality Assessment Criteria. Interventions were assessed, using the TIDieR framework. Data were extracted and synthesised narratively. A total of 6698 records were screened, and 322 full-text studies were assessed. Seven studies were included, describing an intervention to support family participation. Four studies had a pretest-posttest design, two were pilot feasibility studies and one was observational. The quality of the studies was poor to good, with Kmet-scores: 0.50-0.86 (possible score: 0-1, 1 being the highest). Five studies offered various essential care activities. One study provided sufficient intervention detail. Outcome measures among relatives varied from mental health symptoms to satisfaction, supportiveness, comfort level and experience. Two studies measured patient outcomes: delirium and pressure ulcers. Among ICU healthcare providers, perception, comfort level and experience were assessed. Since outcome measures varied, only narrative synthesis was possible. Family participation is associated with a reduction of anxiety and PTSD symptoms. Intervention descriptions of family participation in essential care activities are generally inadequate and do not allow comparison and replication. Participation of relatives was associated with a significant reduction in mental health symptoms. Other outcome measures varied, therefore, the use of additional outcome measures with validated measurement instruments should be considered. The review contributed further insight into interventions aiming at family participation in essential care activities in the intensive care unit and their outcomes. Neither patients nor public were involved.

Genome-wide gene expression responses to experimental manipulation of Saccharomyces cerevisiae repressor activator protein 1 (Rap1) expression level

Precise regulation of transcription in gene expression is critical for all aspects of normal organism form, fitness, and function and even minor alterations in the level, location, and timing of gene expression can result in phenotypic variation within and between species including evolutionary innovations and human disease states. Eukaryotic transcription is regulated by a complex interplay of multiple factors working both at a physical and molecular levels influencing this process. In Saccharomyces cerevisiae, the TF with the greatest number of putative regulatory targets is the essential gene Repressor Activator Protein 1 (RAP1). While much is known about the roles of Rap1 in gene regulation and numerous cellular processes, the response of Rap1 target genes to systematic titration of RAP1 expression level remains unknown. To fill this knowledge gap, we used a strain with a tetracycline-titratable promoter replacing wild-type regulatory sequences of RAP1 to systematically reduce the expression level of RAP1 and followed this with RNA sequencing (RNA-seq) to measure genome-wide gene expression responses. Previous research indicated that Rap1 plays a significant regulatory role in particular groups of genes including telomere-proximal genes, homothallic mating (HM) loci, glycolytic genes, DNA repair genes, and ribosomal protein genes; therefore, we focused our analyses on these groups and downstream targets to determine how they respond to reductions in RAP1 expression level. Overall, despite being known as both an activator and as a repressor of its target genes, we found that Rap1 acts as an activator for more target genes than as a repressor. Additionally, we found that Rap1 functions as an activator of ribosomal protein genes and a repressor for HM loci genes consistent with predictions from the literature. Unexpectedly, we found that Rap1 functions as a repressor of glycolytic enzyme genes contrary to prior reports of it having the opposite effect. We also compared the expression of RAP1 to five different genes related to DNA repair pathway and found that decreasing RAP1 downregulated four of those five genes. Finally, we found no effect of RAP1 depletion on telomere-proximal genes despite its functioning to silence telomeric repeat-containing RNAs. Together our results enrich our understanding of this important transcriptional regulator.

Quality medical data management within an open AI architecture – cancer patients case

In contemporary society people constantly are facing situations that influence appearance of serious diseases. For the development of intelligent decision support systems and services in medical and health domains, it is necessary to collect huge amount of patients’ complex data. Patient’s multimodal data must be properly prepared for intelligent processing and obtained results should be presented in a friendly way to the physicians/caregivers to recommend tailored actions that will improve patients’ quality of life. Advanced artificial intelligence approaches like machine/deep learning, federated learning, explainable artificial intelligence open new paths for more quality use of medical and health data in future. In this paper, we will focus on presentation of a part of a novel Open AI Architecture for cancer patients that is devoted to intelligent medical data management. Essential activities are data collection, proper design and preparation of data to be used for training machine learning predictive models. Another key aspect is oriented towards intelligent interpretation and visualisation of results about patient’s quality of life obtained from machine learning models. The Architecture has been developed as a part of complex project in which 15 institutions from 8 European countries have been participated.

Checklists to support decision-making in regression testing

Context:Practitioners working in large-scale software development face many challenges in regression testing activities. One of the reasons is the lack of a structured regression testing process. In this regard, checklists can help practitioners keep track of essential regression testing activities and add structure to the regression testing process to a certain extent. Objective:This study aims to introduce regression testing checklists so test managers/teams can use them: (1) to assess whether test teams/members are ready to begin regression testing, and (2) to keep track of essential regression testing activities while planning and executing regression tests. Method:We used interviews, workshops, and questionnaires to design, evolve, and evaluate regression testing checklists. In total, 25 practitioners from 12 companies participated in creating the checklist. Twenty-three of them participated in checklists evolution and evaluation. Results:We identified activities practitioners consider significant while planning, performing, and analyzing regression testing. We designed regression testing checklists based on these activities to help practitioners make informed decisions during regression testing. With the help of practitioners, we evolved these checklists into two iterations. Finally, the practitioners provided feedback on the proposed checklists. All respondents think the proposed checklists are useful and customizable for their environments, and 80% think checklists cover aspects essential for regression testing. Conclusion:The proposed regression testing checklists can be useful for test managers to assess their team/team members’ readiness and decide when to start and stop regression testing. The checklists can be used to record the steps required while planning and executing regression testing. Further, these checklists can provide a basis for structuring the regression testing process in varying contexts.

The antimicrobial efficacy of native Australian essential oils in liquid and vapour phase against foodborne pathogens and spoilage microorganisms

Foodborne pathogens and spoilage microorganisms are a source of concern for public health and the food industry. Considering the problem of antimicrobial resistance in microbes, controlling these microorganisms using synthetic antimicrobials is challenging, thus, essential oils are a potential natural alternative. Previous studies have predominantly focussed on the antimicrobial activity of essential oils in the liquid phase. However, in this work we report on the in vitro antimicrobial activity of the liquid and vapour phases of essential oils from native Australian plants Tasmanian mountain pepper (Tasmannia lanceolata), lemon myrtle (Backhousia citriodora), as well as the common herb thyme (Thymus vulgaris) against 11 common food spoilage and pathogenic bacteria and fungi. Initial screening was conducted using the disc diffusion assay. The minimum inhibitory concentration (MIC) of the oils was determined using the broth microdilution assay. The vapour phase antimicrobial activity of the oils was assessed using an inverted petri plate assay and the vapour phase MIC (V-MIC) was quantified using a vapour diffusion assay. GC-MS was adopted to elucidate the compositional profile of the oil in liquid phase. Two extraction methods, namely solid-phase microextraction (HS-SPME) and gas tight syringe headspace sampling (HS) coupled with GC-MS were used for profiling the composition of the volatiles. The findings of this study confirmed the antimicrobial activity of the oils in both liquid and vapour phases, with lemon myrtle and thyme generally showing stronger antimicrobial activity than Tasmanian mountain pepper. The activity in liquid phase was generally higher than the volatiles. However, lemon myrtle and Tasmanian mountain pepper berry volatiles were more effective against Aspergillus niger and Saccharomyces cerevisiae, respectively, relative to the liquid phase highlighting their potential as vapour phase antifungals. In the liquid and gas phases, the major compounds in lemon myrtle were Z-citral (neral) and E-citral (geranial). Polygodial and thymol were the major compounds in Tasmanian mountain pepper and thyme in the liquid phase, respectively. However, the main compounds in their volatiles were p-cymene and γ-terpinene. In conclusion, our research indicates the essential oils' potent vapour phase activity, highlighting their potential application in gaseous diffusion-dependent food applications such as active antimicrobial food packaging.

Polyethylene and polyvinyl chloride microplastics promote soil nitrification and alter the composition of key nitrogen functional bacterial groups

Microplastics (MPs) contamination in soils seriously threatens agroecosystems globally. However, very few studies have been done on the effects of MPs on the soil nitrogen cycle and related functional microorganisms. To assess MP's impact on the soil nitrogen cycle and related functional bacteria, we carried out a one-month soil incubation experiment using typical acidic soil. The soil was amended with alfalfa meal and was spiked with 1% and 5% (mass percentage) of low-density polyethylene (LDPE) and polyvinyl chloride (PVC) MPs. Our results showed that both LDPE and PVC addition significantly increased soil nitrification rate and nitrate reductase activity, which could further promote soil denitrification. The relative abundance of diazotrophs, ammonium oxidizing, and denitrifying bacterial groups were significantly altered with MPs addition. Moreover, the MPs treatments greatly enhanced denitrifying bacteria richness. Redundancy analysis showed that nitrate reductase activity was the most significant factor affecting the soil functional bacterial community. Correlation analysis shows that Nitrosospira genus might be for the improvement of soil nitrification rate. Our results implied that MPs exposure could significantly affect the soil nitrogen cycling in farmland ecosystems by influencing essential nitrogen functional microorganisms and related enzymatic activities.

Exploring Interprofessional Development of Entrustable Professional Activities For Pediatric Intensive Care Fellows: A Proof-of-Concept Study

Phenomenon : Entrustable professional activities (EPAs) delineate major professional activities that an individual in a given specialty must be “entrusted” to perform, ultimately without supervision, to provide quality patient care. Until now, most EPA frameworks have been developed by professionals within the same specialty. As safe, effective, and sustainable health care ultimately depends on interprofessional collaboration, we hypothesized that members of interprofessional teams might have clear and possibly additional insight into which activities are essential to the professional work of a medical specialist. Approach : We recently employed a national modified Delphi study to develop and validate a set of EPAs for Dutch pediatric intensive care fellows. In this proof-of-concept study, we explored what pediatric intensive care physicians’ non-physician team members (physician assistants, nurse practitioners, and nurses) constitute as essential professional activities for PICU physicians and how they regarded the newly developed set of nine EPAs. We compared their judgments with the PICU physicians’ opinions. Findings : This study shows that non-physician team members share a mental model with physicians about which EPAs are indispensable for pediatric intensive care physicians. Despite this agreement however, descriptions of EPAs are not always clear for non-physician team members who have to work with them on a daily basis. Insights : Ambiguity as to what an EPA entails when qualifying a trainee can have implications for patient safety and trainees themselves. Input from non-physician team members may add to the clarity of EPA descriptions. This finding supports the involvement of non-physician team members in the developmental process of EPAs for (sub)specialty training programs.

Exploring nurses' multitasking in clinical settings using a multimethod study

Nurses often multitask in the process of managing patient care and communicating with healthcare providers simultaneously within a limited time, which can negatively affect patient care and safety. In this multimethod research, we conducted a time and motion study to record nursing activities using eye trackers for 23 participants (9 nurses and 14 patients). The frequency and duration of single and multitasking activities were analyzed. Additionally, we conducted focus group interviews (FGIs) with 12 nurses (2–5 nurses per group) to further investigate their multitasking experience. The total duration of the eye tracker recordings was 3,399 min. Daily nursing activities comprised 23.7%, 21.1%, and 12.5% of scheduled medication, documentation, and monitoring and measurement, respectively. Among these activities, nurses mostly carry out scheduled medication, monitoring, and measurement together. Three themes emerged in the FGIs: "Being involved in every little task regarding patient care," "Getting swamped by the complexity of symptoms and problems of the patients at a given time," and "Getting interrupted at work too often." Nurses performed multiple activities while cooperating with other healthcare providers and providing care to patients. It is important to create an environment where nurses can focus on essential nursing activities to improve patient safety.

History, Issues, and Future Scope of Logistics and Supply Chain

Logistics and Supply chain play a crucial role in the functioning of commercial operations. A supply chain encompasses the process of acquiring and distributing commodities, while logistics pertains to the transportation, warehousing, and overall handling of resources and products. Both commercial and emergency supply chains encounter various obstacles, however they may derive valuable insights from one other's tactics and business models. Logistics comprises several components, including transportation, storage, inventory management, packaging, and information processing. The primary objective of logistics management is to effectively coordinate the availability of appropriate resources, ensuring their timely delivery to the designated destination. Supply chain management is a strategic approach that combines essential business activities in order to enhance value for both customers and stakeholders. Supply chain management encompasses the harmonization of several entities, including suppliers, manufacturers, warehouses, transporters, retailers, and consumers, with the objective of fulfilling client demands while simultaneously reducing expenses. There is a prevailing agreement among scholars that SCM and logistics constitute a crucial area of study. However, it is noteworthy that there is a scarcity of literature evaluations pertaining to this subject matter. This study aims to identify and discuss prominent topics in contemporary research by conducting a comprehensive literature assessment from the standpoint of operations management. Furthermore, we have derived some insights and identified potential avenues for further study in this particular domain.

Abstract 3854: TNIK inhibition as a novel therapeutic in cMyc high/TTF1 low SCLC

Abstract Background: Small cell lung cancer (SCLC) is a highly lethal malignancy, with rapidly acquired chemotherapy resistance. Some studies have reported that Wnt signaling pathway activation promoted cell proliferation and was correlated with chemo-resistance in SCLC. None of the therapies targeting Wnt pathway components of the transmembrane and the cytoplasm have been successful in a clinical application due to toxicity and insufficient efficacy. However, targeting Wnt signaling inside the nucleus has been drawing increasing attention as cancer therapeutics. TRAF2 and NCK-interacting protein kinase (TNIK), which interacts with downstream effectors, TCF4/β-catenin transcriptional complex, is an essential activator of Wnt target genes. TNIK is highly expressed in several cancers for cell proliferation, thus TNIK is expected as a novel druggable target. On the other hand, the question remains whether TNIK is a critical target in SCLC. We hypothesize that a TNIK inhibitor has potent anti-tumor effects in SCLC and its promising biomarkers exist. Methods: We used 29 SCLC cell lines including all four subtypes defined by differential expression of transcription factors ASCL1, NEUROD1, POU2F3, and inflamed gene signature (SCLC-A, N, P, and I, respectively) to evaluate the effect of a TNIK inhibitor, NCB-0846 in vitro. We correlated NCB-0846 IC50 values with proteomic profiling (Reverse Phase Protein Array, RPPA) data. Protein expression was examined by western blotting. Results: NCB-0846 markedly reduced cell proliferation in SCLC-N and P cell lines. There was a strong positive correlation between cMyc and the efficacy of NCB-0846 (r=-0.484, P<0.01), while a negative correlation between TTF1 and the efficacy (r=0.569, P<0.01). Additionally, NCB0846 decreased the expression of cMyc in cMyc-high/TTF-1 low SCLC cells. Conclusions: These findings indicate that TNIK inhibitors may be a new personalized molecular-targeted therapy in cMyc-high/TTF-1-low SCLC. Citation Format: Azusa Tanimoto, Robert J. Cardnell, Benjamin B. Morris, Kavya Ramkumar, Shen Li, Qi Wang, Allison C. Stewart, Carl Michael Gay, Jing Wang, Lauren Averett Byers. TNIK inhibition as a novel therapeutic in cMyc high/TTF1 low SCLC. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3854.

NAGS, CPS1, and SLC25A13 (Citrin) at the Crossroads of Arginine and Pyrimidines Metabolism in Tumor Cells.

Urea cycle enzymes and transporters collectively convert ammonia into urea in the liver. Aberrant overexpression of carbamylphosphate synthetase 1 (CPS1) and SLC25A13 (citrin) genes has been associated with faster proliferation of tumor cells due to metabolic reprogramming that increases the activity of the CAD complex and pyrimidine biosynthesis. N-acetylglutamate (NAG), produced by NAG synthase (NAGS), is an essential activator of CPS1. Although NAGS is expressed in lung cancer derived cell lines, expression of the NAGS gene and its product was not evaluated in tumors with aberrant expression of CPS1 and citrin. We used data mining approaches to identify tumor types that exhibit aberrant overexpression of NAGS, CPS1, and citrin genes, and evaluated factors that may contribute to increased expression of the three genes and their products in tumors. Median expression of NAGS, CPS1, and citrin mRNA was higher in glioblastoma multiforme (GBM), glioma, and stomach adenocarcinoma (STAD) samples compared to the matched normal tissue. Median expression of CPS1 and citrin mRNA was higher in the lung adenocarcinoma (LUAD) sample while expression of NAGS mRNA did not differ. High NAGS expression was associated with an unfavorable outcome in patients with glioblastoma and GBM. Low NAGS expression was associated with an unfavorable outcome in patients with LUAD. Patterns of DNase hypersensitive sites and histone modifications in the upstream regulatory regions of NAGS, CPS1, and citrin genes were similar in liver tissue, lung tissue, and A549 lung adenocarcinoma cells despite different expression levels of the three genes in the liver and lung. Citrin gene copy numbers correlated with its mRNA expression in glioblastoma, GBM, LUAD, and STAD samples. There was little overlap between NAGS, CPS1, and citrin sequence variants found in patients with respective deficiencies, tumor samples, and individuals without known rare genetic diseases. The correlation between NAGS, CPS1, and citrin mRNA expression in the individual glioblastoma, GBM, LUAD, and STAD samples was very weak. These results suggest that the increased cytoplasmic supply of either carbamylphosphate, produced by CPS1, or aspartate may be sufficient to promote tumorigenesis, as well as the need for an alternative explanation of CPS1 activity in the absence of NAGS expression and NAG.

Essential Oil Composition, Antioxidant Activity and Leaf Micromorphology of Five Tunisian Eucalyptus Species.

Eucalyptus species have been widely employed in the projects of reforestation in Tunisia. Although their ecological functions are controversial, these plants are indeed important to counteract soil erosion, and represent a fast-growing source of fuelwood and charcoal wood. In the present study, we considered five Eucalyptus species, namely Eucalyptus alba, E. eugenioides, E. fasciculosa, E. robusta, and E. stoatei cultivated in the Tunisian Arboreta. The aim was to carry out the micromorphological and anatomical characterization of the leaves, the extraction and phytochemical profile of the essential oils (EOs), and the evaluation of their biological properties. Four of the EOs showed the prevalence of eucalyptol (1,8-cineole) varying from 64.4 to 95.9%, whereas a-pinene predominated in E. alba EO (54.1%). These EOs showed in vitro antioxidant activity, and reduced the oxidative cellular stress as shown by their activity on reactive oxygen species (ROS) production, and modulation of the expression of antioxidant enzymes, such as glutamate-cysteine ligase (GCL) and heme oxygenase-1 (Hmox-1). Moreover, the EOs inhibited the production of nitric oxide (NO), showing anti-inflammatory activity. The data collected suggest that these EOs may be considered a promising therapeutic strategy for inflammation-based diseases and may represent an additional value for the economy of Tunisia.

On biological networks capable of robust adaptation in the presence of uncertainties: A linear systems-theoretic approach.

Biological adaptation, the tendency of every living organism to regulate its essential activities in environmental fluctuations, is a well-studied functionality in systems and synthetic biology. In this work, we present a generic methodology inspired by systems theory to discover the design principles for robust adaptation, perfect and imperfect, in two different contexts: (1)in the presence of deterministic external and parametric disturbances and (2)in a stochastic setting. In all the cases, firstly, we translate the necessary qualitative conditions for adaptation to mathematical constraints using the language of systems theory, which we then map back as design requirements for the underlying networks. Thus, contrary to the existing approaches, the proposed methodologies provide an exhaustive set of admissible network structures without resorting to computationally burdensome brute-force techniques. Further, the proposed frameworks do not assume prior knowledge about the particular rate kinetics, thereby validating the conclusions for a large class of biological networks. In the deterministic setting, we show that unlike the incoherent feed-forward network structures (IFFLP), the modules containing negative feedback with buffer action (NFBLB) are robust to parametric fluctuations when a specific part of the network is assumed to remain unaffected. To this end, we propose a sufficient condition for imperfect adaptation and show that adding negative feedback in an IFFLP topology improves the robustness concerning parametric fluctuations. Further, we propose a stricter set of necessary conditions for imperfect adaptation. Turning to the stochastic scenario, we adopt a Wiener-Kolmogorov filter strategy to tune the parameters of a given network structure towards minimum output variance. We show that both NFBLB and IFFLP can be used as a reduced-order W-K filter. Further, we define the notion of nearest neighboring motifs to compare the output variances across different network structures. We argue that the NFBLB achieves adaptation at the cost of a variance higher than its nearest neighboring motifs whereas the IFFLP topology produces locally minimum variance while compared with its nearest neighboring motifs. We present numerical simulations to support the theoretical results. Overall, our results present a generic, systematic, and robust framework for advancing the understanding of complex biological networks.

Quality characteristics, amino acid composition, and bioactive potential of wheat cookies protein-enriched with unconventional legume protein isolates

The present investigation was intended to utilize protein isolates from forage legumes as unconventional protein ingredients for the development of protein-enriched wheat-based cookies. Alfalfa and dhaincha protein isolates (API and DPI) were supplemented at levels of 2.5, 5, 7.5, and 10%, and the effect of supplementation was evalauted on the quality attributes, nutritional composition, amino acid profile, and bioactive potential of cookies. The baking loss, water activity, and spreading (except for 10% API and 5% DPI) decreased, whereas the hardness increased with the increase in supplementation level and the effect was more pronounced with the supplementation of DPI. The non-enzymatic browning index showed that it was not affected by the supplementation. DPI-supplemented cookies showed a color change, whereas no change in the color was observed in API-supplemented cookies. Cookies maintained good sensorial characteristics up to the supplementation of 10% API and 5% DPI and higher supplementation of DPI comprised all the sensorial attributes. Supplementation with protein isolates also enhanced the protein and essential amino acid content, total phenols, flavonoids, and antioxidant activity of the cookies.

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TOWARDS INFORMED DESIGN DECISION SUPPORT OF ADDITIVE MANUFACTURING IN CONSTRUCTION - THE USE OF INTEGRATED KNOWLEDGE IN BIM-BASED ARCHITECTURAL DESIGN

Additive Manufacturing (AM) technologies have great potential to promote sustainable development in the architecture, engineering, and construction (AEC) domain. But the inherent complexity of AM and lack of domain knowledge hinder decisions about appropriate construction methods. With state-of-the-art Semantic Web technologies, a knowledge base regarding AM technologies can be formalized and integrated into the Building Information Modeling (BIM) methodology. To this end, this paper demonstrates how a Design Decision Support System (DDSS) utilizes formal knowledge to assist architects in choosing the appropriate AM method by assessing the manufacturability of individual building components. By following and refining the essential activities described, we aim to provide architects with informed decision support, thus facilitating the versatile use of AM technologies in the AEC domain.