Uneven Distribution Research Articles

Optimization of Steaming Conditions for Bellflower Root (Platycodon grandiflorus) Using K-Means Clustering-Based Morphological Grading System

Bellflower roots were categorized into three clusters (class 0, class 1, and class 2) using K-means clustering based on their morphological factors: length (282.8 ± 29.53, 138.75 ± 26.8, and 209.89 ± 20.49 mm), thickness (16.25 ± 2.82, 16.77 ± 3.35, and 16.52 ± 3.05 mm), and body shape coefficient (5.80 ± 1.15, 12.73 ± 4.82, and 7.95 ± 1.71). Internal void formation, a key quality factor for bellflower root, was analyzed under pre-steaming conditions, identifying temperatures between 20 and 25 °C as optimal for storage. Within the clustered class, steaming for a prolonged duration increased the formation of internal voids and caused a decrease in normal stress values, total dissolved solids (TDS), and pectin content. Class 0, with larger and thicker roots, exhibited higher internal voids (57% void rate) due to uneven heat distribution and incomplete starch gelatinization. Class 2 roots demonstrated better structural integrity, with a void rate of 26% and a stress value of 48 kN/m2. These findings highlight the importance of morphological classification and optimal storage temperatures to improve the quality of steamed bellflower roots.

Enhancing Accuracy of Flame Equivalence Ratio Measurements: An Attention-Based Convolutional Neural Network Approach for Overcoming Limitations in Traditional Color Modeling.

This paper addresses the inherent limitations in traditional color modeling techniques for measuring the flame equivalence ratio (Φ), particularly focusing on the subjectivity involved in threshold settings and the challenges posed by uneven 2D color distribution. To overcome these issues, this study introduces an attention-based convolutional neural network (ACN) model, a novel approach that transcends the conventional reliance on B/G color features (Tf). The ACN model leverages adaptive feature extraction, augmented by a spatial attention mechanism, to more effectively analyze flame images. By amplifying key features, autonomously minimizing background noise, and standardizing variations in color distribution, the ACN model in this experiment achieved a prediction accuracy of 99%, with a 76% reduction in error rate compared to the original model, significantly improving the accuracy and objectivity of flame Φ measurement. This method marks a substantial development in the precision and reliability of flame analysis.

Evaluation and redesign of an internal medicine pharmacy practice model at a tertiary care hospital.

In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. Clinical pharmacists are embedded into the care for patients admitted to internal medicine floors at Cleveland Clinic. The existing practice model utilized by the internal medicine pharmacy team had an uneven distribution of clinical activities among the various pharmacist roles. A study was completed to evaluate a potential adjustment to the pharmacy practice model. The objective of this study was to assess the type and quantity of clinical activities performed by each pharmacist role. These data were then utilized to evaluate the need for redistribution of care activities among the pharmacist roles and to determine the need for additional pharmacist full-time equivalents. From January to February 2023, data pertaining to the amount and type of clinical activities completed by the 9 internal medicine pharmacist roles was either manually collected or extracted from the electronic medical record. The data were then utilized to calculate a responsibility score for each role. Descriptive statistics were also calculated to assess the results. Each pharmacist role cared for an average of 34.4 patients (minimum, 24.4; maximum, 57.7) during the study period. The average responsibility score for each pharmacist role was 309.8 (minimum, 237.5; maximum, 447.8). On the basis of the data collected during the 4-week study period, a new pharmacy practice model was developed that incorporated 2 additional full-time equivalents. This model balanced patient care responsibilities among the pharmacist roles and moved the practice model from a location-based to a team-based coverage model.

Popularity and parity assessment for more inclusive and balanced aquaculture development

Aquaculture, a rapidly expanding food production system, holds promise for improving global food security and resilience. However, imbalanced growth has led to a highly uneven distribution of aquaculture production among countries, a concern that has not been comprehensively examined. This paper fills this knowledge gap by developing an innovative indicator system to assess this issue based on aquaculture development in ~ 200 countries over five decades. The system utilizes the “effective number of countries” (ENC) as a basic measure of production distribution and extends it into two novel indicators, popularity and parity, to gauge inclusiveness and balance. The assessment from 1970 to 2020 reveals that aquaculture has become a global enterprise, operating in nearly 90% of countries. Nevertheless, there is still substantial potential for growth in aquaculture popularity across most of 43 species groups examined here. Regarding concerns over persistently imbalanced aquaculture growth, our assessment reveals that aquaculture parity increased during 1970–2020 in the majority of 85 country groups examined here, including 18 of 27 regions and subregions. Global parity is also on the rise in the new millennium (2000–2020). However, the global aquaculture parity remains considerably lower than those of capture fisheries and terrestrial meat production. This suggests that imbalanced global aquaculture development cannot be solely attributed to countries’ comparative advantages. This extraordinary imbalance could compromise global food security and food system resilience, but it also signifies untapped growth potential. Mainstreaming aquaculture popularity and parity as policy indicators can foster more inclusive and balanced development and unlock this potential. The proposed indicator system can be applied across diverse sectors and scales, contributing to a broader and refined understanding of the dynamics within the global food system.

Terpene synthase gene family in Jasminum sambac var. Fuzhou bifoliatum: genome-wide analysis and expression pattern in response to methyl jasmonate

Terpene synthases (TPSs) play a crucial role in the synthesis of terpenoids that contribute to the scent profiles of flowers. However, few studies report the genome-wide analysis of TPSs gene in Jasminum sambac var. Fuzhou bifoliatum and their expression pattern in response to methyl jasmonate (MeJA). In this study, we employed bioinformatics tools for genome-wide analysis of the J. sambac TPS (DJTPS) gene family and determined the physical and chemical properties, subcellular location, protein-protein interactions, phylogenetic relationship, subfamily classification, chromosomal location and collinearity, gene structure, conserved motifs, and promoter cis-acting elements. The expression patterns of DJTPSs in different tissues and in response to MeJA treatment were analyzed based on the transcriptome data combined with quantitative real-time PCR (qRT-PCR). We identified 32 intact DJTPS genes in the genome of J. sambac, which presented uneven distribution across nine chromosomes. All the deduced proteins were hydrophilic, predominantly localized in the cytoplasm. The phylogenetic analysis classified the DJTPS genes into five subfamilies: TPS-a, TPS-b, TPS-c, TPS-e/f, and TPS-g. The results of the collinearity analysis showed a total of 10 sets of replication events in DJTPSs, most of which underwent purifying selection. A comparative analysis of TPS homologous gene pairs was performed among J. sambac var. Fuzhou bifoliatum and other six species, which revealed different number of homologous gene pairs. The number of exons and motifs was conserved within the same subfamily. DJTPS genes carried multiple elements that may be involved in the response to MeJA. In addition, the transcriptome and qRT-PCR data unveiled that several TPS genes exhibited tissue-specific expression patterns, and the genes with specific expression in flowers were the most. Upon exposure to MeJA, 14 TPS genes showcased upregulated expression 5 h or 6 h post-treatment, and DJTPS03, DJTPS04 and DJTPS21 showed significantly increased expression levels after MeJA treatment. This study provides preliminary evidence that MeJA possesses the ability to enhance the expression of DJTPS genes during the critical flowering stage, which will facilitate the synthesis of terpenoids and improve the quality of floral fragrance.

Innovative management strategies for addressing paediatric medical staff shortages in underdeveloped cities in developing countries

BackgroundPaediatric professional scarcity and uneven distribution is acute in underdeveloped regions, exacerbated by COVID-19’s workload surge and burnout, highlighting the need for strengthened prevention and response measures.AimPropose an effective talent...

Ensemble probability distribution of annual runoff for the past 70 years in two main watersheds of China

ABSTRACT Water resources in China, especially in the major basins of the Songhua and Yangtze Rivers, are characterized by uneven distribution both temporally and spatially, leading to notable challenges in per capita water availability. In this study, we investigate the ensemble probability distribution of annual runoff over the past 70 years in two of China's major watersheds: the Songhua River and the Yangtze River. By dividing each basin into several regions from upstream to downstream, based on annual mean discharge as a proxy for annual runoff, we observed a significant correlation between the annual runoff of the control sections and that of the upstream and downstream regions in these large watersheds. Consequently, this study establishes the probability distribution of annual runoff for each region within the basins, anchored on the design annual runoff of the control sections, using the joint bivariate logarithmic normal distribution of two interrelated random variables. Furthermore, we developed a relationship between the conditional probability distribution and correlation diagram data, and a regression equation correlating regional annual runoff with the watershed control section's runoff. This investigation into the historical patterns of runoff over the past 70 years provides a comprehensive understanding of the dynamics in these critical watersheds.

78 Supporting rural paediatricians in British Columbia: Could a rural paediatrics clinical network make a difference?

Abstract Background British Columbia (BC) is a geographically expansive province with an uneven distribution of population and resources. The number of paediatricians in rural communities is small and they face a unique reality compared to their urban counterparts. In 2020, a clinical network (Sustaining Pediatrics in Rural and Underserved Communities – SPRUCe) was introduced to provide support and connection for rural paediatricians in BC. Objectives The rural paediatricians were surveyed shortly after the launch of the network, in June 2021, and again in July 2023 in order to evaluate the impact of the network. Design/Methods In British Columbia, communities are designated as rural through the Rural Practice Subsidiary Agreement (RSA). In 2021, there were 12 RSA communities served by 32 paediatricians, while in 2023 there were 14 RSA communities served by 38 paediatricians. Surveys were sent to paediatricians in RSA communities for whom the study coordinators had email contacts in the spring of 2021 and in the summer of 2023. Anonymized survey results were collected, tabulated and compared. Results In 2021, surveys were sent to 28 paediatricians with a 96% response rate, while in 2023 surveys were sent to 36 paediatricians with a 69% response rate. Comparing the responses, in 2023 a lower proportion of respondents endorsed being concerned about recruitment (81% in 2021 and 68% in 2023). Similarly, a lower proportion disagreed that effective strategies were in place for paediatrician recruitment to their communities (62% in 2021 and 40% in 2023). In 2023, a higher proportion of respondents agreed that they had methods to engage and interact with other rural paediatricians across the province (30% in 2021 and 52% in 2023). Unfortunately, no improvements were noted in the proportion of respondents who endorsed workload challenges, feelings of burnout or limitations in their ability to secure locum coverage. Rural paediatrician involvement medical learner education of medical learners remained static at 80%. Conclusion Strategies to support rural paediatricians in BC are needed to address concerns about workload, burnout, and lack of locum coverage. SPRUCe, a clinical network to support rural paediatrics, provides an example of a potential strategy which may be having a positive impact. The short timeframe between administered surveys and small group of respondents makes demonstrating change challenging, but it is encouraging that decreased recruitment concerns and increased feelings of connectedness among rural paediatricians were noted.

Assessing distributional justice around Cultural Ecosystem Services (CES) provided by urban green areas: The case of Bologna

Cultural Ecosystem Services (CES) and related flows of benefits – heavily influencing societal and individual health and wellbeing - are usually ascribed non-consumptive values. However, despite the increasing recognition of their contribution to citizens’ quality of life, the intangible nature of CES makes it difficult to quantify them and hard to be integrated in decision making and planning processes. Nevertheless, the assessment of the societal relevance of CES would largely help to improve people wellbeing and quality of life. CES depend not only on the characteristics and features of urban green areas, but also on preferences and needs of the users that interact with them and that contribute to co-produce ES related benefits and values. These diverse needs, coupled with the uneven distribution of urban green area and diverse ways of managing them in the city, could affect the way ES are produced and further exacerbate existing inequalities and disparities. This contribution investigates the case study of the city of Bologna, introducing a spatial approach based on a new and pluralistic notion of urban green area that consider sport facilities and Green Stewards activities, to assess the related CES co-production paths and distributional dimension of justice in the city. Results show a good accessibility to urban green area throughout the city of Bologna (around .70 %). Nevertheless, CES co-production paths are limited in those areas of the city with higher population vulnerability index, due to lower urban green area facilities and green stewards activities, thus highlighting areas with higher distributional and procedural injustice path.

Spatial optimization strategies for China’s hydrogen infrastructure industry chain

Promoting the development of China’s hydrogen energy industry is crucial for achieving green energy transition. However, existing research lacks systematic studies on the spatial layout of the hydrogen industry chain. This study constructed a comprehensive theoretical framework encompassing hardware infrastructure, software systems, and soft power. Using multi-source heterogeneous data, GIS analysis, and NVivo text coding methods, the current regional layout and challenges of China’s hydrogen infrastructure industry chain were systematically evaluated. The findings determined that economically developed eastern regions lead in infrastructure and soft power, while central and western regions leverage their resource and manufacturing advantages. Major challenges include regional imbalances in hardware infrastructure, uneven distribution of soft power, and misalignment between software systems and actual needs. Analysis of the “14th Five-Year Plan” of various regions elucidated deep insights into the diversity of local hydrogen energy development strategies, identifying five types of hydrogen cities: resource-advantaged, market-oriented, regionally collaborative, innovation-driven, and policy-supported. Accordingly, strategies to enhance industry chain synergy, clarify city roles, and optimize regional ecosystems were proposed. It is recommended to integrate hydrogen infrastructure with urban planning and incorporate environmental impact assessments into spatial optimization decisions. This study provides a systematic analytical framework and progressive policy recommendations for the efficient and green layout of China’s hydrogen infrastructure, offering important implications for the sustainable development of the hydrogen industry and other rapidly developing economies.

Coordinative optimization for wind farms considering improved fatigue load index

In the wind farm(WF), there exists a serious uneven distribution of damage equivalent load(DEL) on the wind turbine(WT), which increases the maintenance cost of wind power generation. Previous researches focus on a single objective such as the total or the standard deviation of fatigue loads for optimal control. To address these, this paper proposes a coordinative optimization by considering an improved fatigue load index. The coordinative optimization is achieved on both WF level and WT level. For WF level, a state-space model is built for the active power dispatch by utilizing small signal linearization. Then, an improved sensitivity analysis is performed to evaluate the fatigue load on the component of the tower and shaft. Further, a coordinative multi-objective function is designed, which minimizes the total DEL of the WF, and balances the individual fatigue load distribution of the WT. For WT level, an adaptive internal model control is proposed to suppress both tower vibrations and torque fluctuation of the main shaft. Several experiments are performed to verify the significance of the proposed method with the weight analysis of power and load coefficient. The comparison results reveals the superiority of the coordinative optimization in restraining the total DEL of the WF, balancing WF fatigue distribution, decreasing the DEL of the single WT, and satisfying the power reference tracking simultaneously.

Genome-Wide Identification of UGT Genes and Analysis of Their Expression Profiles During Fruit Development in Walnut (Juglans regia L.)

Walnut (Juglans regia L.) possesses the ability to prevent coronary heart disease and promote cardiovascular health. This ability can be attributed to their rich content of polyphenols, particularly flavonoids. The biosynthesis of flavonoids is reliant on the catalytic activity of uridine diphosphate glycosyltransferase (UGT). However, the identification of UGTs in walnut has not been reported. In the current study, a total of 124 UGT genes containing the PSPG box were identified from the walnut genome. Based on phylogenetic analysis, the 124 UGTs could be classified into 16 distinct groups, which exhibited an uneven distribution across the 16 chromosomes. Subcellular localization prediction analysis revealed that approximately 78.23% of walnut UGT proteins were predominantly localized in the cytoplasmic compartment. Furthermore, motif annotation confirmed that motifs 1, 2, and 3 represented conserved structural features within UGT proteins, while interestingly, around 56.5% of walnut UGT members lacked introns. Through the analysis of promoter cis-regulatory elements, it was revealed that JrUGTs are involved in photoresponse, hormonal regulation, and other physiological responses. In conjunction with transcriptome analysis and quantitative expression, approximately 39% of UGT genes in walnut exhibited high expression levels during early fruit development. Correlation analysis between UGT genes’ expression and phenolic content in walnut indicated that JrUGT6, JrUGT38, JrUGT39, JrUGT58, JrUGT69, JrUGT75, and JrUGT82 might be involved in phenolic biosynthesis in walnut. This comprehensive study provides an overview of the UGT genes in walnut, serving as a valuable reference and theoretical foundation for further investigations into the biological functions of JrUGTs in flavonoid biosynthesis.

Research on Safety of Aero-Engine Oil Pipe Under Heating Conditions Based on Fluid-Solid Thermal Coupling.

This paper examines the safety of aero-engine pipelines under different heating conditions. Based on the fire test standard documents, a model of an aero-engine oil pipe was constructed, and its safety under heating conditions that meet the standard was analyzed using fluid-solid thermal coupling. The pipe material was stainless steel 1Cr18Ni9Ti, and the oil inside the pipeline was China RP-3 kerosene. To simulate the different working conditions or pump failure scenarios, various kerosene inlet flow rates were used for the calculations. The results indicate that the pipe wall exhibits an uneven temperature distribution under standard heating conditions. As the kerosene flow rate decreases, the pipe wall temperature rises, and heat transfer deterioration occurs. The increase in the pipe wall temperature reduces the material's strength, while the uneven temperature distribution generates thermal stress, further increasing the safety risk. When the kerosene flow rate is reduced to a certain level, the equivalent stress in the pipe wall exceeds the material's yield strength, leading to a high risk of rupture.

GLMI: An Efficient Spatiotemporal Index Leveraging Geohash and Piecewise Linear Models for Optimized Query Performance

Spatiotemporal big data contain information in multiple dimensions such as space and time. Spatiotemporal data have the characteristics of large volume, intricate spatiotemporal relationship, and uneven spatiotemporal distribution. Index structure is one of the most important technologies used to improve system data analysis and workload. However, it is difficult to dynamically adjust with data density, resulting in increased maintenance costs and retrieval complexity. At the same time, maintaining the proximity of spatiotemporal data in spatial or temporal dimensions is crucial for efficient spatiotemporal analysis. To address these challenges, this paper proposes a learned index method, GLMI (Geohash and piecewise linear model-based index for spatiotemporal data). GLMI uses dynamic space partitioning based on the Hilbert curve to reduce the impact of data skew on index performance. In the time dimension, a piecewise linear model was constructed using the ShrinkingCone algorithm, and a buffer was designed to support the fast writing of spatiotemporal data. Compared with the current mainstream traditional high-dimensional indexes and the ZM index, GLMI has a smaller space consumption and shorter construction time compared to high-dimensional learned indexes on real traffic itinerary and trajectory record datasets. Meanwhile, GLMI also has an advantage in query efficiency.

Generalized SmartScan: An Intelligent LPBF Scan Sequence Optimization Approach for Reduced Residual Stress and Distortion in 3D Part Geometries

Abstract Laser powder bed fusion (LPBF) is an additive manufacturing technique that is gaining popularity for producing metallic parts in various industries. However, parts produced by LPBF are prone to residual stress, deformation, cracks and other quality defects due to uneven temperature distribution during the LPBF process. To address this issue, in prior work, the authors have proposed SmartScan, a method for determining laser scan sequence in LPBF using an intelligent (i.e., model-based and optimization-driven) approach, rather than using heuristics, and applied it to simple 2D geometries. This paper presents a generalized SmartScan methodology that is applicable to arbitrary 3D geometries. This is achieved by: (1) expanding the thermal model and optimization approach used in SmartScan to multiple layers; (2) enabling SmartScan to process shapes with arbitrary contours and infill patterns within each layer; (3) providing the optimization in SmartScan with a balance of exploration and exploitation to make it less myopic; and (4) improving SmartScan’s computational efficiency via model order reduction using singular value decomposition. Sample 3D test artifacts are simulated and printed using SmartScan in comparison with common heuristic scan sequences. Reductions of up to 92% in temperature inhomogeneity, 86% in residual stress, 24% in maximum deformation and 50% in geometric inaccuracy were observed using SmartScan. An approach for using SmartScan for printing complex 3D parts in practice, by integrating it as a plug-in to a commercial slicing software, was also demonstrated experimentally, along with its benefits in significantly improving printed part quality.

Sustainable Production of Biomass-Derived Graphite and Graphene Conductive Inks from Biochar.

Graphite is a commonly used raw material across many industries and the demand for high-quality graphite has been increasing in recent years, especially as a primary component for lithium-ion batteries. However, graphite production is currently limited by production shortages, uneven geographical distribution, and significant environmental impacts incurred from conventional processing. Here, an efficient method of synthesizing biomass-derived graphite from biochar is presented as a sustainable alternative to natural and synthetic graphite. The resulting bio-graphite equals or exceeds quantitative quality metrics of spheroidized natural graphite, achieving a Raman ID/IG ratio of 0.051 and crystallite size parallel to the graphene layers (La) of 2.08 µm. This bio-graphite is directly applied as a raw input to liquid-phase exfoliation of graphene for the scalable production of conductive inks. The spin-coated films from the bio-graphene ink exhibit the highest conductivity among all biomass-derived graphene or carbon materials, reaching 3.58 ± 0.16 × 104 Sm-1. Life cycle assessment demonstrates that this bio-graphite requires less fossil fuel and produces reduced greenhouse gas emissions compared to incumbent methods for natural, synthesized, and other bio-derived graphitic materials. This work thus offers a sustainable, locally adaptable solution for producing state-of-the-art graphite that is suitable for bio-graphene and other high-value products.

Vegetative Index Intercalibration Between PlanetScope and Sentinel-2 Through a SkySat Classification in the Context of “Riserva San Massimo” Rice Farm in Northern Italy

Rice farming in Italy accounts for about 50% of the EU’s rice area and production. Precision agriculture has entered the scene to enhance sustainability, cut pollution, and ensure food security. Various studies have used remote sensing tools like satellites and drones for multispectral imaging. While Sentinel-2 is highly regarded for precision agriculture, it falls short for specific applications, like at the “Riserva San Massimo” (Gropello Cairoli, Lombardia, Northern Italy) rice farm, where irregularly shaped crops need higher resolution and frequent revisits to deal with cloud cover. A prior study that compared Sentinel-2 and the higher-resolution PlanetScope constellation for vegetative indices found a seasonal miscalibration in the Normalized Difference Vegetation Index (NDVI) and in the Normalized Difference Red Edge Index (NDRE). Dr. Agr. G.N. Rognoni, a seasoned agronomist working with this farm, stresses the importance of studying the radiometric intercalibration between the PlanetScope and Sentinel-2 vegetative indices to leverage the knowledge gained from Sentinel-2 for him to apply variable rate application (VRA). A high-resolution SkySat image, taken almost simultaneously with a pair of Sentinel-2 and PlanetScope images, offered a chance to examine if the irregular distribution of vegetation and barren land within rice fields might be a factor in the observed miscalibration. Using an unsupervised pixel-based image classification technique on SkySat imagery, it is feasible to split rice into two subclasses and intercalibrate them separately. The results indicated that combining histograms and agronomists’ expertise could confirm SkySat classification. Moreover, the uneven spatial distribution of rice does not affect the seasonal miscalibration object of past studies, which can be adjusted using the methods described here, even with images taken four days apart: the first method emphasizes accuracy using linear regression, histogram shifting, and histogram matching; whereas the second method is faster and utilizes only histogram matching.

Development and characterization of mesoporous silica-MgSO4-MgCl2 binary salt composites for low-grade heat storage in fluidized bed systems

Achieving nearly zero-energy buildings requires the efficient utilization and storage of renewable energy. Salt-hydrate-based thermochemical energy storage (TCES) systems are promising due to their high heat storage capacity and minimal seasonal heat loss. However, challenges remain in their commercialization and large-scale application. For instance, TCES systems using magnesium sulphate (MgSO4) provide low temperature lifts due to slow reaction kinetics. Incorporating deliquescent salts like magnesium chloride (MgCl2) can enhance sorption performance but may introduce stability issues such as agglomeration and decomposition. This study presents a novel binary-salt composite combining MgSO4 and MgCl2 within commercial mesoporous silica (CMS) to address these challenges and enhance overall performance. The binary-salt composite powder, with a particle size range of 150–300 μm, is well-suited for use in fluidized-bed reactors, where fast mass and heat transfer promote efficient moisture adsorption, prevent uneven temperature distribution, and reduce agglomeration. Thermogravimetric analysis (TGA) was employed to evaluate the water sorption and desorption behaviour of MgCl2-MgSO4@CMS binary-salt composites with a total salt content of 50 wt% and salt mixing ratios of 3:1, 1:1, and 1:3. The corresponding water sorption capacities were 0.95, 0.68, and 0.57 g/g, respectively. In comparison, the MgSO4@CMS single-salt composite showed a lower water adsorption capacity of 0.47 g/g and required temperatures exceeding 150 °C for complete regeneration. Reactor-scale experiments demonstrated that the MgCl2-MgSO4@CMS composite with a 1:1 salt mixing ratio could be fluidized at low gas velocities on the order of 10−2 m/s, achieving a maximum temperature lift of 24.7 °C and an energy density of 1018 kJ/kg during hydration at 80% relative humidity and 30 °C. Additionally, the binary-salt composite showed good cyclic stability with less particle agglomeration compared to the MgCl2@CMS single-salt composite.

Assessment of the influence of glycol and alcohol on the morphology and protective properties of iron carbonate in carbon dioxide corrosion of gas pipelines

The potential effect of hydrate formation inhibitors (glycols, alcohols) — components of the liquid phase of gas pipeline operating media — on carbon dioxide corrosion during the transport of aggressive gas has not been sufficiently studied. The paper presents the results of a study of the corrosive effect of glycol (alcohol) present in the liquid phase on the composition and properties of corrosion products on steel when modeling the main aggressive factors under conditions of transport of CO2-containing gas. On a corrosion stand, the aggressive conditions of alternating wetting of gas pipeline walls with water were reproduced. The fluid circulation characteristic of a partially filled pipeline can have an effect on preventing the formation or destruction of films of corrosion products (iron carbonate, siderite) on the steel surface. In places of cracking and peeling of siderite formed in the presence of CO2, conditions will be created for the formation of general and local corrosion damage. During simulation tests, monoethylene glycol and isopropanol, as well as their aqueous solutions of different concentrations, were used. For the first time, data on the formation and composition of non-stoichiometric siderite in water-glycol and water-alcohol media at CO2 partial pressures and temperature were obtained. By processing diffraction patterns obtained by X-ray diffraction, the degree of substitution of iron ions in non-stoichiometric siderites by other cations was determined. The dependence of the degree of substitution on the concentration of alcohol (glycol) in their aqueous solutions was analyzed. It was revealed that with an increase in glycol concentration, a decrease in the rate of local corrosion is observed. With a high glycol content, internal corrosion is completely suppressed in the presence of CO2. It has been established that in aqueous-alcoholic media at elevated temperatures, local carbon dioxide corrosion does not occur. This is apparently due to the uneven distribution of water and alcohol in the mixture. The results obtained can be used in assessing internal carbon dioxide corrosion in the presence of glycol (alcohol), used at gas facilities as an inhibitor of hydrate formation.

Performance Degradation Mechanism of the Si@N, S-Doped Carbon Anode in Sulfide-Based All-Solid-State Batteries.

Silicon (Si) anode is a promising anode material for all-solid-state lithium batteries with ultra-high theoretical specific capacity and low lithium dendrite risk. However, the inevitable vast volume expansion of Si anode during charge/discharge is recognized as a major limitation preventing its commercial application. Herein, an N, S self-doped amorphous carbon layer coated on porous micron-sized Si (p-mSi@C) is designed to construct an electron/ion conducting network while ensuring structural and interfacial stability. Uneven distribution of von mises stresses during p-mSi lithiation leads to irregular volume expansion and even fragmentation. Meanwhile, the growth of by-products at the interface between p-mSi and electrolyte contact leads to a rapid capacity decay. Compared to p-mSi anode, p-mSi@C reduces the risk of fragmentation thanks to the stress-absorbing effect of amorphous carbon, delivering excellent electrochemical performance (2679.65 mAh g-1 at 0.2 mA cm-2 with initial coulombic efficiency of 84%). More importantly, the chemical failure mechanisms of p-mSi and p-mSi@C composite anodes are revealed through structural characterization, chemical analysis, and simulation, which provides the necessary theoretical guidance for practicalization.