System Level Research Articles

Stochastic optimal harmonic suppression with permissible photovoltaic penetration level for grid-linked systems using Monte Carlo-based hybrid NSGA2-MOPSO

Stochastic optimal harmonic suppression with permissible photovoltaic penetration level for grid-linked systems using Monte Carlo-based hybrid NSGA2-MOPSO

Ecotoxicological and metabolomic investigation of chronic exposure of Daphnia magna (Straus, 1820) to yttrium environmental concentrations

In order to estimate the effects on aquatic organisms of long-term exposure to low doses of yttrium (Y) as a potential emerging contaminant, ecotoxicological and metabolomic data were collected on the model organism Daphnia magna, a keystone species in freshwater ecosystems. Following an initial acute toxicity assessment, a 21-day chronic exposure experiment was conducted using a sublethal concentration of 27 μg L⁻¹ of Y, corresponding to the effective concentrations inducing 10 % effect (EC10) value for mortality endpoint and simulating the environmental Y level in aquatic systems. Results from the 21-day two-factor experiment combining microcrustacean survival, growth and reproduction bioassays and targeted gas chromatography-mass spectrometry (GC–MS) metabolomics indicated significant adverse effects of chronic exposure to Y on D. magna. Daphnids exposed to Y exhibited a significantly lower survival at day 21, delayed the maturity stage, including their first breeding, and decreased clutch size. On the side of metabolomics, a clear and general increase over time of both the number and the level of detected metabolites in the hydroalcoholic extracts of the whole organisms was observed. However, emerging from this broad temporal pattern, several bioactive metabolites were identified (e.g., 2,4-di‑tert‑butylphenol, itaconic acid, 3-hydroxybutyric acid, and trehalose) whose levels in extracts are linked to the presence of Y. These results emphasize the necessity of considering low-dose, long-term exposure scenarios in environmental risk assessments of rare earth elements (REEs), which have often been overlooked in favour of higher concentration studies.

Differences in Symptom Burden in Primary Brain Tumor Patients Based on Sex, Race, and Ethnicity: a Single-Center Retrospective Study.

Symptom burden affects quality of life and prognosis in primary brain tumor (PBT) patients. Knowing whether symptom burden varies based on sex, race, or ethnicity may affect the interpretation of the relationship between symptoms and survival may reveal issues with applying the tools to measure symptom burden to different groups and may identify inequities in symptom management that need to be addressed at a system level. To determine whether symptoms in PBT patients vary across demographic groups, we conducted a retrospective chart review of symptom burden collected as part of routine care in a diverse population. Patient demographics and scores on the MD Anderson Symptom Inventory-Brain Tumor (MDASI-BT) module were extracted from the electronic medical record for patients seen in the Inova Neuro-oncology Clinic between March 2021 and June 2022. MDASI-BT scores were compared based on side of tumor, sex, race, and ethnicity for the entire population and for the subset with gliomas. We included 125 people, of whom 85 had gliomas. For both the entire group and the subgroup with gliomas, about 40% were female and about 40% were non-White race. No differences in symptom burden were seen between males and females. Pain and numbness/tingling symptom burden were higher in both the entire population and the glioma subgroup for people of Hispanic/Latino/Spanish ethnicity and for people of races other than White or Middle Eastern self-identification. Pain, weakness, and numbness/tingling varied significantly across racial and ethnic groups. Further research is needed to validate this finding in other populations and determine its cause.

Joint Optimization of Mode Switching, Loading Level, and Maintenance for Production Systems With Dynamic Tasks

Joint Optimization of Mode Switching, Loading Level, and Maintenance for Production Systems With Dynamic Tasks

The Evolution of the Acylation Mechanism in β-Lactamase and Rapid Protein Dynamics.

β-Lactamases are a class of well-studied enzymes that are known to have existed since billions of years ago, starting as a defense mechanism to stave off competitors and are now enzymes responsible for antibiotic resistance. Using ancestral sequence reconstruction, it is possible to study the crystal structure of a laboratory resurrected 2-3 billion year-old β-lactamase. Comparing the ancestral enzyme to its modern counterpart, a TEM-1 β-lactamase, the structural changes are minor, and it is probable that dynamic effects play an important role in the evolution of function. We used molecular dynamics simulations and employed transition path sampling methods to identify the presence of rate-enhancing dynamics at the femtosecond level in both systems, found that these fast motions are more efficiently coordinated in the modern enzyme, and examined how specific dynamics can pinpoint evolutionary effects that are essential for improving enzymatic catalysis.

Methodological framework for impact evaluation of Building‐Integrated Greenery (BIG‐impact)

Building-Integrated Greenery systems, i.e., green roofs, walls, and facades, are Nature-based Solutions that make possible the renaturing of cities when there is no room for traditional greenery solutions. These green systems provide several ecosystem services at both the building and city level, such as urban heat island effect mitigation and noise reduction, support for biodiversity, runoff control, thermal and acoustic insulation, etc. However, once implemented in real cases, their impact is almost never evaluated. This fact limits the possibility of carrying out cost-benefit analyses that contribute to justifying their long-term maintenance, thus putting at risk their long-term sustainability and consequently the provision of benefits. Unlike existing approaches, the method presented here offers a comprehensive and practical tool that addresses the gap in BIG systems’ impact evaluation, facilitating informed decision-making and promoting the long-term sustainability of BIG systems.•In its design, the current references at European and global level for building-integrated systems impact assessment has been considered.•It is easily replicable in any real project and enables the collaboration of involved stakeholders.•The method is unprecedented and allows a holistic assessment of the impact of BIG in real cases, in terms of ecosystem services provided.

Allergens weaning: what is missing from commercial baby food?

Background. Current recommendations for infant weaning suggest introducing common food allergens by the age of 12 months. While homemade meals are advisable, there is a notable demand for commercially available complementary foods (CACF). Furthermore, emerging evidence suggests a potential link between the consumption of ultra-processed products and the incidence of allergic diseases. This study aimed to examine the presence of the fourteen main food allergens in CACF ingredients through label analysis and evaluate their extent of processing. Methods. Between January and February 2024, labels of all CACF found in infant feeding sections of 10 Portuguese grocery retailers were analyzed. CACF were categorized based on the NOVA food classification system's processing levels. Milk formulas, products for children over 15 months, and those for children with food allergies or intolerances were excluded Results. Of the 492 products analysed, 132 contained wheat and 112 contained milk. 16 products included fish and 6 contained egg. Soy was listed as an ingredient in 11 products, mainly as soy lecithin. Only 2 product contained nuts, and 1 product contained peanuts. None of the products contained the remaining six allergens. The majority of milk- and wheat-containing products were classified as ultra-processed and contained added sugars and/or sweeteners. Conclusions. Despite the current guidelines, commercial baby foods often lack major allergens, namely nuts and peanuts, eggs, and shellfish. Our results underscore the need for healthy, age-appropriate, minimally processed products that incorporate rather than exclude major food allergens.

The effects of polypropylene microplastics on the removal of nitrogen and phosphorus from water by Acorus calamus, Iris tectorum and functional microorganisms

Polypropylene microplastics (PP-MPs), an emerging pollutant, adversely affect the ability of aquatic plants to restore water bodies, thereby compromising the functionality and integrity of wetland ecosystems. This study examines the effects of microplastic stress on the nitrogen and phosphorus removal capacities of Acorus calamus and Iris tectorum, as well as on functional microorganisms within the aquatic system. The findings indicate that under PP-MP stress, the nitrogen and phosphorus absorption capabilities of both plants were diminished. Additionally, there was a significant reduction in the metabolic enzyme activities related to nitrogen and phosphorus in the plants, alongside a notable decrease in leaf nitrogen content. PP-MPs hinder the nutrient uptake of plants, affecting their growth and indirectly reducing their ability to utilize nitrogen and phosphorus. Specifically, in the 10 mg L−1 treatment group, A. calamus and I. tectorum showed reductions in leaf nitrogen content by 23.1% and 31.0%, respectively, and by 14.8% and 27.7% in the 200 mg L−1 treatment group. Furthermore, I. tectorum had higher leaf nitrogen levels than A. calamus. Using fluorescent tagging, the distribution of PP-MPs was traced in the roots, stems, and leaves of the plants, revealing significant growth impairment in both species. This included a considerable decline in photosynthetic pigment synthesis, enhanced oxidative stress responses, and increased lipid peroxidation in cell membranes. PP-MP exposure also significantly reduced the abundance of functional microorganisms involved in denitrification and phosphorus removal at the genus level in aquatic systems. Ecological function predictions revealed a notable decrease in nitrogen cycling functions such as nitrogen respiration and nitrite denitrification among water microorganisms in both treatment groups, with a higher ecological risk potential in the A. calamus treatment group. This study provides new insights into the potential stress mechanisms of PP-MPs on aquatic plants involved in water body remediation and their impacts on wetland ecosystems.

Interval estimation of dynamic liquid level of sucker-rod pumping systems based on dynamometer card

This paper is concerned with the interval estimation problem of the dynamic liquid level for sucker-rod pumping systems via dynamometer cards. Firstly, a surface dynamometer card-based dynamic liquid level model is established in terms of the operational mechanism of the pump and the dynamics of the rod strings. Then, an underdamped oscillation method and a boxplot-based denoising method are developed respectively to determine the damping coefficient in the dynamics of the rod strings and deal with the uncertainties in the dynamometer card. Based on these, a finite difference-based interval estimation strategy is proposed to determine dynamic liquid level via the surface dynamometer card. Finally, simulation results with the field measurements demonstrate the validity of the proposed method.

Inferring general links between energetics and information with unknown environment

Identifying general links between energetics and information in realistic open quantum systems is a long-standing problem in quantum thermodynamics and quantum information processing. However, the generality of existing efforts is often impeded by their specific assumptions about environments. Here we address the problem by developing a trajectory-level thermodynamic inference theory to establish general links using just the knowledge of the system, enabling a single framework applicable to a diverse range of environments. Underpinning the framework is a notion of excess energy introduced for inferring the net energy gain of the system after completing an information processing trajectory. We show that fluctuation behaviors of the excess energy encode general links between energetics and information with a conceptual advantage that they completely avoid assumptions about environments and system-environment coupling forms. Crucially, we obtain a single thermodynamic inequality that integrates upper bounds on heat dissipation and extracted work in terms of system's information content change, providing complementary constraints that greatly expand the context of existing well-adopted results based on the second law of thermodynamics. We also uncover lower bounds on the precision of the fluctuating system's energy and information content changes in terms of their Fano factors and a correlation function between them. By extending relations between energetics and information to higher-order fluctuations, we thus reveal a trade-off that a more precise inference of energy or information content changes requires a looser energetic-information link. We showcase the implications of these general links in a number of quantum information and thermodynamic tasks of application relevance. Our framework provides a toolkit for analyzing the interplay between energetics and information from the trajectory level in generic quantum systems, thereby adding an indispensable structure to the thermodynamics of information. Published by the American Physical Society 2024

Safety Assessment on the Safety and Efficacy of an Additive of Dicopper Chloride Trihydroxide (IntelliBond® C) as a Feed Additive for Use in All Animal Species (RP812)

An application was submitted to the Foods Standard Agency in March 2021 from Trouw Nutrition GB (‘the Applicant’) for the renewal and modification of an additive (IntelliBond® C) containing dicopper chloride trihydroxide, under the category of ‘nutritional additives’ and functional group ‘compounds of trace elements’. The additive is proposed to be used in all animal species. The Advisory Committee on Animal Feedings (ACAF) was asked to review the dossier and the supplementary information submitted by the Applicant, and to advise the Food Standards Agency and Food Standards Scotland (FSA/FSS) in evaluating the dossier. The FSA/FSS concluded, based on the ACAF’s evidence, that the additive was fully identified and characterised, and no further concerns were raised for this section of the dossier. The use of the additive at recommended levels of incorporation into feed can continue to be considered safe for the target species and the consumer. Regarding user safety, the additive was determined to be non-corrosive and is not a skin sensitiser, however, is a skin irritant and should be regarded as a potential eye irritant. Following a request for a Phase I environmental risk assessment, the ACAF concluded that the additive poses an acceptable risk to the environment when used at the proposed levels for terrestrial species and land-based aquaculture systems. However, the safety of the additive for marine sediment when used in sea cages could not be concluded upon. It was concluded that the proposed minor modifications to the specifications and other provisions would not affect efficacy and therefore efficacy could be extrapolated from the original authorisation to the modified authorisation. The views of ACAF have been taken into account in this safety assessment which represents the opinion of the FSA/FSS.

Resilience quantification and recovery strategy simulation for urban underground logistics systems under node and link attacks: A case study of Nanjing city

Urban Underground Logistics Systems (UULS) have become an emerging solution to mitigate urban surface traffic congestion, environmental pollution, and surface transport safety risks. However, during the operation of UULS, the use of advanced technologies such as the Internet of Things (IoT) introduces cybersecurity risks to the system. Moreover, severe natural disasters can also cause damage to underground transportation network links. Existing research and planning primarily concentrate on the system design and benefits of UULS, neglecting the system's service level under attack scenarios. This study outlines three representative UULS network prototypes and proposes a resilience quantification method centered on logistics efficiency. It also focuses on comparing the effectiveness of three recovery strategies. These strategies give priority to maximum flow, betweenness centrality, and regional importance, as well as the priority of node and link repairs. The resilience quantification method and recovery strategies are applied in a case study set in Nanjing City. The case study results reveal that the Two-echelon network shows exceptional resilience. Regarding the effectiveness of recovery strategies, the strategy based on maximum flow proves to be the most effective, and focusing on node repair can lead to higher system resilience. Based on these findings, this study offers recommendations to transportation and logistics management decision-makers, focusing on UULS resilience and recovery strategy selection. These recommendations are intended to provide valuable guidance for the planning and design of future UULS, ensuring their resilience and reliability.

Role of Probiotic Microorganisms in the Brain Plasticity Development

Probiotics are defined as beneficial microorganisms that are responsible for the maintenance of homeostasis mechanisms within the host system, especially in humans. Other than homeostasis, it is also used to improve a host system's cognition, immune functions, and antioxidant levels. Over the past decades, probiotic microorganisms have been used most commonly as traditional fermented foods in our country and some parts of southeast asia. These fermented food products majorly consist of Lactobacillus species, including Lactobacillus acidophilus, L. fermentum, and L. plantarum. The present study explored the potential role of three different lactobacillus strains (L. acidophilus, L. fermentum, and L. Plantarum) in forming brain plasticity changes (BPC) with the help of a cue-based learning paradigm (CBLP). Two staged behavioral studies were conducted for all behavioral analysis groups (BAG) before (without probiotic infusions - WiPI) and after probiotic infusions (with probiotic infusions - WPI) in RBLP. Behavioral responses of the WiPI & WPI phases showed the effect of a stress-free habituated environment in developing BPC and strengthening of BPC by oral infusions of probiotic microorganisms (PM). WiPI and WPI behavioral analysis were used in this study to validate BPC in a laboratory-controlled environment. Infusion of probiotic microorganisms through oral passage may have a more significant impact on the synthesis, production, and transmission of neurotransmitter precursor compounds (NPC) from the gut to the central nervous system (CNS) through the blood-brain barrier (BBB). Increased transmission of the NPC strengthens the formed plasticity changes, which results in the formation of cognitive memory functions. Thus, the present study proved that probiotic microorganisms may play a major role in cognition development through the BPC.

A quantitative analysis of the security of PoW-based blockchains

This study analyzes the security implications of Proof-of-Work blockchains with respect to the stale block rate and the lack of a block verification process. The stale block rate is a crucial security metric that quantifies the proportion of rejected blocks in the blockchain network. The absence of a block verification process represents another critical security concern, as it permits the potential for invalid transactions within the network. In this article, we propose and implement a quantitative and analytical model to capture the primary operations of Proof-of-Work blockchains utilizing the Performance Evaluation Process Algebra. The proposed model can assist blockchain designers, architects, and analysts in achieving the ideal security level for blockchain systems by determining the proper network and consensus settings. We conduct extensive experiments to determine the sensitivity of security to four aspects: the number of active miners and their mining hash rates, the duration between blocks, the latency in block propagation, and the time required for block verification, all of which have been shown to influence the outcomes. We contribute to the findings of the existing research by conducting the first analysis of how the number of miners affects the frequency of stale block results, as well as how the delay in block propagation influences the incentives received by rational miners who choose to avoid the block verification process.

Optimal placement of light sensor for improving energy efficiency and visual comfort in smart buildings

The energy consumed by artificial lighting accounts for a significant part of the energy consumption in buildings. Thus, energy consumption can be significantly decreased using optimization techniques, such as the optimum placement of the lighting sensors. In this paper, an optimal placement method of the light sensors is presented to minimize the lighting system's equipment costs and energy consumption and also meet visual comfort under the requirements of the European standard EN12464–1 regarding illuminance-based criteria. In the beginning, based on the illumination measurement grid's mathematical model, the potential location of the sensors is determined. As an average of the dimming levels of the LED lights, the objective function has been introduced. Then, the illuminance and uniformity levels are defined as constraints for the optimization problem. The Battle Royale Optimization (BRO) algorithm is used to solve the optimization problem. Ultimately, based on the results of the BRO algorithm and the calculation of the illuminance deviation, the optimal location of the light sensors is determined. The proposed method is tested in an office room. A fuzzy logic controller is developed to regulate the lighting control system's dimming levels to evaluate the proposed method's performance with other approaches. The comparison results have shown that the proposed method is superior as regards the number of sensors and the optimal sensor position, significant savings in energy consumption of up to 30.8%, and satisfactory visual comfort per the requirements of the European standard EN12464–1.

Electrolytes for Sodium Ion Batteries: The Current Transition from Liquid to Solid and Hybrid systems.

Sodium-ion batteries (NIBs) have recently garnered significant interest in being employed alongside conventional lithium-ion batteries, particularly in applications where cost and sustainability are particularly relevant. The rapid progress in NIBs will undoubtedly expedite the commercialization process. In this regard, tailoring and designing electrolyte formulation is a top priority, as they profoundly influence the overall electrochemical performance and thermal, mechanical, and dimensional stability. Moreover, electrolytes play a critical role in determining the system's safety level and overall lifespan. This review delves into recent electrolyte advancements from liquid (organic and ionic liquid) to solid and quasi-solid electrolyte (dry, hybrid, and single ion conducting electrolyte) for NIBs, encompassing comprehensive strategies for electrolyte design across various materials, systems, and their functional applications. The objective is to offer strategic direction for the systematic production of safe electrolytes and to investigate the potential applications of these designs in real-world scenarios while thoroughly assessing the current obstacles and forthcoming prospects within this rapidly evolving field.

Unraveling a history of overlap: A phenotypic comparison of RBCK1-related disease and glycogen storage disease type IV.

RBCK1-related disease is a rare, multisystemic disorder for which our current understanding of the natural history is limited. A number of individuals initially carried clinical diagnoses of glycogen storage disease IV (GSD IV), but were later found to harbor RBCK1 pathogenic variants, demonstrating challenges of correctly diagnosing RBCK1-related disease. This study carried out a phenotypic comparison between RBCK1-related disease and GSD IV to identify features that clinically differentiate these diagnoses. Literature review and retrospective chart review identified 25 individuals with RBCK1-related disease and 36 with the neuromuscular subtype of GSD IV. Clinical features were evaluated to assess for statistically significant differences between the conditions. At a system level, any cardiac, autoinflammation, immunodeficiency, growth, or dermatologic involvement were suggestive of RBCK1, whereas any respiratory involvement suggested GSD IV. Several features warrant further exploration as predictors of RBCK1, such as generalized weakness, heart transplant, and recurrent infections, among others. Distinguishing RBCK1-related disease will facilitate correct diagnoses and pave the way for accurately identifying affected individuals, as well as for developing management recommendations, treatment, and an enhanced understanding of the natural history. This knowledge may also inform which individuals thought to have GSD IV should undergo reevaluation for RBCK1.

Evaluación de cepas Antárticas de Bacillus sp. como bacterias promotoras del crecimiento vegetal

In agriculture, efficient microorganisms are used, among them plant growth-promoting bacteria. This work aimed to determine, in vitro, the mechanism of action in strains of Bacillus sp. isolated from Antarctica. The analyzed characteristics of the bacterium were: catalase and hemolysis tests, Gram stain, phosphate solubilization, growth without a nitrogen source, siderophore production, and survival at different values of pH, NaCl, and temperature, which confirmed the ecological plasticity and adaptation of these strains in environments other than their origin. According to the desirable characteristics, the T5, GB-70, and B-6 strains were chosen and added to two substrates: clay and clay-compost mixture, which were sterilized and placed in 200 mL glass bottles, and a corn seed was planted in each of them. After two weeks, the following parameters were evaluated: length of root (LR), seedling height (AP), and shoot diameter (DT). The simple effect of the strains as independent variables and their interaction did not significantly affect the response variables evaluated, recording the following averages: 12.84 cm (LR), 15.28 cm (AP), and 2.26 cm (DT). Considering the substrate, the compost + clay significantly (p<0.05) influenced the LR and DT characteristics of the seedlings, with averages of 14.44 and 2.38 cm, respectively. The observed mechanisms of action distinguish promising strains that could be validated at the field level in agricultural production systems when inoculated in organic fertilizers. Keywords: antarctic microorganisms, beneficial bacteria, plant growth.

Robust SHM: Redundancy approach with different sensor integration levels for long life monitoring systems

Monitoring structures such as bridges or wind turbines using Structural Health Monitoring (SHM) methods allows continuous assessment of their condition and considerably faster action compared to conventional on-site inspection. Inevitably, SHM systems suffer from the same problems as the structure itself: Not only does the structure age over time, but the measurement system itself is also subject to environmental aging. To ensure robust SHM, this paper presents a concept that combines optimal sensor placement with a hardware redundancy approach to provide the most efficient, durable, and reliable SHM for structures. For this purpose, a small-scale experiment is conducted in a climate chamber equipped with various sensor types (accelerometers and strain gauges). The different levels of sensor integration allow reliable detection of sensor errors in the raw data signal. Correlation matrices are used to decide which sensor functions are most reliable at what point in time and whether sensor replacement in the SHM system is required. Furthermore, data normalisation is applied to the raw data signal to compensate for the influence of environmental conditions (ECs) such as temperature and humidity. The proposed concept is validated on the small-scale dynamically excited experiment and shows promising results to operate reliable SHM systems for several decades in the future.

Low-carbon economic dispatch strategy for microgrids considering stepwise carbon trading and generalized energy storage

Integrating carbon trading mechanisms with generalized energy storage (GES) fully embodies the principles of green and coordinated development, serving as a crucial means to achieve low-carbon construction of microgrids. This research presents a strategy for optimizing energy allocation within microgrids to minimize carbon emissions and enhance microgrid systems' economic-environmental benefits. The strategy takes into account the use of tiered carbon trading and GES. Based on a typical microgrid system architecture, an economic dispatch model for microgrids is developed, which integrates renewable energy sources such as wind and solar storage, gas turbines, energy storage systems, and flexible resources on the demand side. The model aims to minimize carbon emissions while optimizing the allocation of resources. Subsequently, the model facilitates microgrid carbon emission control by considering the transferable, convertible, and reducible properties of GES. Furthermore, implementing a tiered carbon trading mechanism decreases carbon emissions. Finally, using a real microgrid example from a specific region in China, the results indicate that the proposed method significantly enhances the system's low-carbon level. Notably, compared to scenarios that do not consider GES, the proposed method substantially reduces total costs by 6.62% and decreases carbon emissions by 22.2%. The findings indicate that the suggested dispatch model can substantially decrease carbon emissions while simultaneously improving the economic efficiency of the microgrid system.