Environmental Stability Research Articles

Flexible Inverse Opal Structural Color Films with High Strength and Harsh Environment Stability.

Flexible photonic crystals (PCs) constructed by PCs and special polymers are very promising to achieve a combination of vivid structural colors, mechanical robustness, and environment stability. However, PCs that incorporate polymer binders are still susceptible to destruction and subsequent loss of structural color when subjected to significant external forces or harsh environments. Besides, because most of these polymers are highly flammable, crucial fire safety is difficult to be guaranteed in the application of these materials. In this study, we report a poly(m-phenyleneisophthalamide) inverse opal (PMIA IO) structural color film through a SiO2 PC template sacrificing method. Benefiting from the high rigid PMIA molecular structural configuration, the PMIA IO films are able to maintain their structural colors even in harsh conditions, such as large tensile stress, high and low temperatures, potent acids and bases, and ultraviolet radiation. More attractively, the PMIA IO films demonstrate excellent flame retardancy, with the limiting oxygen index (LOI) and flame retardant rating reaching 28 vol % and V0, respectively. We believe that the flexible structural color films with high strength, harsh environment stability, and flame retardancy, which are difficult for other structural color materials to possess simultaneously, have great potential for special applications in fire protection, national defense, aviation, marine, and aerospace fields.

Fabrication of interfacial crystallized oleogel emulsion for quercetin delivery with enhanced environmental stability and bioaccessibility.

Quercetin is a flavonoid compound with numerous bioactivities. However, the low solubility, easy degradation and low bioaccessibility limit its application. In this study, a novel interfacial crystallized oleogel emulsion was fabricated, where beeswax was used as the oleogelator, for quercetin encapsulation with enhanced stability and bioaccessibility. The process of interfacial crystallization was investigated using interfacial rheology and polarized microscopy, with a positive correlation between crystal density and beeswax content in the oil phase. Emulsion stability was directly linked to beeswax concentration in the oil phase, with 100 mg g-1 showing enhanced stability under storage, UVB light exposure and ionic conditions. Beeswax addition significantly increased the quercetin loading capacity of the emulsion; particularly, at a 200 mg g-1 beeswax concentration, the loading capacity was improved by 285.55%, and the environmental stability was enhanced against UV light and Ca2+. Ultimately, in vitro simulated digestion experiment indicated improved bioaccessibility of quercetin. This strategy significantly enriched the formulation of oleogel emulsion and its potential applications in delivering bioactive ingredients with high environmental vulnerability. © 2024 Society of Chemical Industry.

Productivity and adaptive properties of different origin potato varieties in the Russia’s Far East south

The paper presents the results of a study on the productivity of potato genotypes of different origin depending on the water availability in soil, including the hydrothermal coefficient of Selyaninov (HTC). The group of mid-season varieties was noted to have the highest productivity (710 g/plant). Waterlogging occurred during the growing period of plants (HTC ≥ 2.5), especially at the stage of tuber formation, negatively affecting productivity. High productivity was observed in the years with relatively favorable weather conditions (2019, 2021, and 2022) when the index of environmental conditions (I) was positive and ranged within +201.63 – +221.35. The average productivity of all the specimens was 950 g/plant. Very low productivity (420–670 g/plant) was observed in 2015–2018, 2020, and 2023 due to waterlogging (I = -99.52 – -269.81). Among the studied specimens, we identified the following varieties that were characterized by not only high productivity (above 900 g/plant) but also high responsiveness to changes in the environmental conditions and stability (average bi = 1.49; S2d·103 = 0.42): early-maturing varieties – Antonina, Bastion, Kolymskii, Krepysh, Matushka, Meteor, Pamyati Kulakova, Udacha, Vitesse, Red Lady, and Red Scarlett; medium-early varieties – Arktika, Briz, Zoya, Kamchatka, Lileya, Charodei, and Gala; mid-season varieties – Ocharovanie, Utro, and Favorit; medium-late and late varieties – Kazachok and Pobeda. The research allowed us to identify potato specimens with high productivity (1040-1480 g/plant), marketability (83.2–92.8%), plasticity (bi = 1.20–1.85), stability (S2d = 0,15–5,77), homeostasis (Hom = 9.51–40.62) and breeding value (Sc = 532.79–852.14) under the conditions of the south of the Russian Far East: early maturing varieties – Bastion, Kolymskii, Krepysh, and Pamyati Kulakova; medium-early varieties – Arktika and Zoya; mid-season variety Alyaska; medium-late and late varieties – Vetraz’ and Pobeda.

MXene/WO3 Sensor Array with Improved SNN Algorithm for Accurate Identification of Toxic Gases.

Gas sensing is pivotal in critical areas such as industrial production and food safety. This study explores the gas classification capabilities of MXene-based gas sensors. Pure V2CTx MXene and an MXene/WO3 nanocomposite were synthesized, and MXene-based gas sensors were integrated into a 2 × 2 rudimentary electronic nose array. The tests on gas sensitivity revealed that the inclusion of WO3 nanoparticles (NPs) boosted the sensor's response to 10 ppm of NO2 from 2.82 to 3.45 at room temperature. Moreover, the sensor showcased a rapid response/recovery duration of 74.5/149.0 s, excellent environmental stability, and long-term reliable sensing performance. Furthermore, we have improved the method of accurately identifying four toxic gases detected by an MXene-based sensor array using a spiking neural network (SNN) based on the memristive system. Also, the performance of this identification method revealed that the method achieved 95.83% accuracy in the identification of the four gases. Notably, the improved SNN demonstrated approximately 5% higher accuracy than the other gas recognition algorithm. These results highlight the potential of SNN as a powerful tool to accurately and reliably identify toxic gases based on the gas sensor array.

Origin of Persisting Photoresponse of One-Year Aged Two-Dimensional Lead Halide Perovskites Stored in Air under Dark Conditions.

Two-dimensional halide perovskites are promising for advanced photonic, optoelectronic, and photovoltaic applications. However, their long-term stability is still a critical factor limiting their implementation into further commercial applications. Here, we present an environmental stability analysis of BA2(MA)n-1PbnI3n+1 (BA = C4H12N+, MA = CH6N+) two-dimensional perovskites with the lowest quantum well thicknesses of n = 1 and n = 2, after 1 year of aging under ambient humidity, oxygen content, and light conditions. We observed that both crystal phases (n = 1 and 2) degraded similarly, resulting in the removal of organic components and crystal decomposition into PbI2, Pb oxides, and Pb hydroxides. However, we have found a significant difference between their aging under ambient light and dark conditions, affecting their degraded morphology and photoactivity. Both crystal phases exposed to ambient light aged into a morphology characterized by the formation of several pinholes and voids, accompanied by photoluminescence degradation. Samples stored under dark conditions surprisingly preserved their photoluminescence activity, which morphologically aged into microrod structures. We conclude that the observed loss of photoactivity of 2D perovskites aged under ambient light is attributed to photoaccelerated degradation processes causing faster crystal surface photo-oxidation accompanied by a creation of multiple I vacancies and hydration of the inner crystal. The retainment of photoactivity in 2D perovskites aged under dark conditions is attributed to slower surface oxidation processes into Pb salts, as confirmed by X-ray photoemission spectroscopy. The formed surface layer even allows for a layer-by-layer degradation and acts as a protection barrier against further additional loss of I atoms and the consequent hydration of the inner part of samples. We demonstrate that light is the most critical external factor accelerating 2D perovskite degradation processes in ambient air and thus affecting their long-term stability. We conclude in this work that perovskite material structural engineering together with their surface passivation or encapsulation strategical techniques applied is an essential step for their further application into long-term stable commercial devices.

Global spatial and temporal dynamics of the green water coefficient and analysis of factor from 1992 to 2020

In recent years, the impacts of climate change have variably affected the global ecological environment, exacerbating water scarcity and related issues. Meantime, as part of soil evapotranspiration and plant transpiration in water resources, green water is of great significance in stabilizing the global water cycle and promoting the sustainable development of agriculture. Therefore, the green water coefficient in this study calculates the conversion rate of precipitation to green water, which is important for the balance between blue and green water and the stability of the ecological environment. Based on trend analysis methods and Geodetector, this study analyses the spatial and temporal characteristics and driving mechanisms of the green water coefficient on the globe and on each land-use type from 1992 to 2020. The findings revealed that: (1) The global green water coefficient is clearly spatially differentiated, showing certain latitudinal distribution differences, with the lowest near the equator. The areas with higher green water coefficients are mainly in northern and southern Africa, central Asia, Oceania and northern and western North America, while the areas with lower green water coefficients are concentrated in northern South America and Southeast Asia. (2) The global average value of green water coefficient decreases before increasing. Except for water, the green water coefficient of other land use types (crop land, forest land, grassland, urban land, unused land) changes significantly and there are fewer abrupt change points. Areas where the green water coefficient is too low and changes drastically are not suitable for rainfed agriculture. (3) Different influential factors act on the green water coefficients of different land use types, and there is a two-factor enhancement and non-linear enhancement relationship between them, with a combination of factors affecting the green water coefficient. By studying the characteristics of the green water coefficient globally and across different land use types, we quantified the influence of climate factors such as precipitation, temperature, wind speed, evapotranspiration, radiation, etc., on the green water coefficient, thereby providing some information for future global rain-fed agriculture and water resources management.

Analysis of solar absorption, degradation mechanism and thermal stability in air environments for SS/TiB2/Al2O3 spectrally selective absorber coating

Analysis of solar absorption, degradation mechanism and thermal stability in air environments for SS/TiB2/Al2O3 spectrally selective absorber coating

Environmental and Behavioral Determinants of Septicemia Mortality in Türkiye: A Ten-Year Analysis

This study examines the environmental and behavioral factors associated with variations in septicemia mortality rates across Turkish provinces. Province-level data spanning ten years were analyzed using ordinal logistic regression modeling to determine the predictors of septicemia mortality. Environmental factors such as humidity, temperature, and air pollutants, along with behavioral aspects including alcohol consumption, were evaluated. Analysis of the provided data revealed significant regional variations in septicemia mortality rates across areas with diverse environmental and social characteristics. Higher median humidity and stable environmental conditions (low variability in humidity and temperature) correlated with reduced mortality rates. Alcohol consumption was identified as a risk factor, moderately increasing the risk of septicemia mortality. The findings highlight the intricate relationship between environmental stability, personal behaviors, and septicemia outcomes. The study accentuates the need for targeted public health strategies and suggests that mitigating environmental risks and fostering healthy behaviors could effectively reduce septicemia mortality. Further studies should focus on individual-level data and explore the relationship between these factors in different climatic conditions.

Geographical ignorance: The vital role of geographic knowledge for decision-makers

The ongoing environmental, social, and cultural problems in today’s world indicate that geographic knowledge (GK) is not given sufficient importance by decision-makers. On the other hand, decision-makers, when making crucial decisions that impact competitiveness, economic well-being, and environmental stability, face significant risks and potential costs due to gaps in GK and a lack of awareness. In this context, this article presents a theoretical investigation that underscores how GK can assist decision-makers in achieving success in their decisions. We characterize GK with a mindset emphasizing the complex spatial system connections and the significant role of space in decision-making processes. The article discusses this topic at the local-regional, national, and international scales. As a result, we argue that addressing the knowledge gaps of decision-makers is impactful in enhancing their capacity to understand the mutual relationships among environmental dynamics at various scales and enables the synthesis of economic, political, social, and cultural mechanisms within human society. Considering the support of theory for empirical studies, we hope that this study will also support empirical research related to planning. Overcoming challenges requires a holistic approach that not only equips decision-makers with GK but also enables its effective implementation throughout the planning process.

Boron Cluster Anions Dissolve En Masse in Lipids Causing Membrane Expansion and Thinning

AbstractBoron clusters are applied in medicinal chemistry because of their high stability in biological environments and intrinsic ability to capture neutrons. However, their intermolecular interactions with lipid membranes, which are critical for their cellular delivery and biocompatibility, have not been comprehensively investigated. In this study, we combine different experimental methods – Langmuir monolayer isotherms at the air–water interface, calorimetry (DSC, ITC), and scattering techniques (DLS, SAXS) – with MD simulations to evaluate the impact of closo‐dodecaborate clusters on model membranes of different lipid composition. The cluster anions interact strongly with zwitterionic membranes (POPC and DPPC) via the chaotropic effect and cause pronounced expansions of lipid monolayers. The resulting lipid membranes contain up to 33 mol % and up to 52 weight % of boron cluster anions even at low aqueous cluster concentrations (1 mM). They show high (μM) affinity to the hydrophilic‐hydrophobic interface, affecting the structuring of the lipid chains, and therefore triggering a sequence of characteristic effects: (i) an expansion of the surface area per lipid, (ii) an increase in membrane fluidity, and (iii) a reduction of bilayer thickness. These results aid the design of boron cluster derivatives as auxiliaries in drug design as well as transmembrane carriers and help rationalize potential toxicity effects.

Boron Cluster Anions Dissolve En Masse in Lipids Causing Membrane Expansion and Thinning.

Boron clusters are applied in medicinal chemistry because of their high stability in biological environments and intrinsic ability to capture neutrons. However, their intermolecular interactions with lipid membranes, which are critical for their cellular delivery and biocompatibility, have not been comprehensively investigated. In this study, we combine different experimental methods - Langmuir monolayer isotherms at the air-water interface, calorimetry (DSC, ITC), and scattering techniques (DLS, SAXS) - with MD simulations to evaluate the impact of closo-dodecaborate clusters on model membranes of different lipid composition. The cluster anions interact strongly with zwitterionic membranes (POPC and DPPC) via the chaotropic effect and cause pronounced expansions of lipid monolayers. The resulting lipid membranes contain up to 33 mol % and up to 52 weight % of boron cluster anions even at low aqueous cluster concentrations (1 mM). They show high (μM) affinity to the hydrophilic-hydrophobic interface, affecting the structuring of the lipid chains, and therefore triggering a sequence of characteristic effects: (i) an expansion of the surface area per lipid, (ii) an increase in membrane fluidity, and (iii) a reduction of bilayer thickness. These results aid the design of boron cluster derivatives as auxiliaries in drug design as well as transmembrane carriers and help rationalize potential toxicity effects.

Research progress on environmental stability of SARS-CoV-2 and influenza viruses

We reviewed research on SARS-CoV-2 and influenza virus detection on surfaces, their persistence under various conditions, and response to disinfectants. Viral contamination in community and healthcare settings was analyzed, emphasizing survival on surfaces influenced by temperature, pH, and material. Findings showed higher concentrations enhance survivability at room temperature, whereas stability increases at 4°C. Both viruses decline in low pH and high heat, with influenza affected by salinity. On various material surfaces, SARS-CoV-2 and influenza viruses demonstrate considerable variations in survival durations, and SARS-CoV-2 is more stable than influenza virus. On the skin, both virus types can persist for ≥2 h. Next, we delineated the virucidal efficacy of disinfectants against SARS-CoV-2 and influenza viruses. In daily life, exposure to ethanol (70%), isopropanol (70%), bleach (10%), or hydrogen peroxide (1–3%) for 15–30 min can effectively inactive various SARS-CoV-2 variants. Povidone-iodine (1 mg/mL, 1 min) or cetylpyridinium chloride (0.1 mg/mL, 2 min) may be used to inactive different SARS-CoV-2 variants in the mouth. Chlorine disinfectants (500 mg/L) or ultraviolet light (222 nm) can effectively inhibit different SARS-CoV-2 variants in public spaces. In conclusion, our study provides a scientific basis and practical guidance for reduction of viral persistence (retention of infectivity) on surfaces and environmental cleanliness.

SiO2/polydopamine photothermal superhydrophobic coating with good anti-icing performance

The icing phenomenon has become a safety hazard for the normal operation of equipment. In this work, we report a strategy for simply obtaining photothermal anti-icing coatings by spraying acrylic resin, polydimethylsiloxane and polydopamine modified SiO2 particles on a steel plate substrate. The prepared icephobic AR/PDMS/SiO2@PDA composite coating not only has excellent superhydrophobicity (WCA = 162°). It also shows good anti- and de-icing performances. The superhydrophobic surface was able to delay freezing for 614 s at −20°C, and the ice adhesion of its surface was 54 kPa. In addition, PDA-modified SiO2 particles endow the coating with photothermal properties. Under the irradiation of simulated sunlight, the photothermal coating rapidly reached 61°C within 3 min, and the ice droplets completely melted in 155 s. Besides, it's able to withstand a wide range of chemical attacks and mechanical impacts. After 15 icing-de-icing cycles and 40 sandpaper abrasions cycles test, the prepared coatings can still maintain remarkable ice-removal performance, demonstrating excellent mechanical robustness and stability in harsh environments.

Building a theoretical framework for financial risk management in emerging markets: Applying global best practices to the oil and gas industry in developing economies

Financial risk management is crucial for the sustainability and growth of the oil and gas industry in developing economies, where volatility and regulatory uncertainties present significant challenges. This abstract explores the construction of a theoretical framework for financial risk management, adapting global best practices to the specific contexts of emerging markets within the oil and gas sector. In developing economies, the oil and gas industry faces unique risks such as geopolitical instability, currency fluctuations, and regulatory changes. Effective financial risk management mitigates these risks through proactive strategies that balance risk exposure with strategic objectives. Adopting global best practices involves the integration of comprehensive risk assessment methodologies, scenario planning, and hedging techniques tailored to local market conditions. Key components of the theoretical framework include risk identification through comprehensive analysis of market, operational, and financial factors. This approach enables oil and gas companies to anticipate and mitigate risks before they escalate, ensuring financial stability and resilience in volatile environments. Furthermore, the application of global best practices in financial risk management fosters transparency and accountability, enhancing investor confidence and facilitating access to capital. By aligning risk management strategies with international standards and benchmarks, developing economy oil and gas firms can navigate uncertainty more effectively, thereby optimizing operational performance and sustaining long-term growth. However, challenges such as limited access to sophisticated financial instruments and expertise may hinder effective implementation. Overcoming these barriers requires capacity building, collaboration with experienced partners, and continuous adaptation of strategies to evolving market dynamics. In conclusion, building a theoretical framework for financial risk management in the oil and gas industry in developing economies is essential for mitigating volatility and maximizing opportunities. By applying global best practices tailored to local contexts, companies can strengthen their resilience, attract investment, and drive sustainable development in emerging markets.

A brief review on effect of heavy metals in fish fauna

The variety of fish species is essential for the well-being and stability of aquatic environments. Fishes are one of the most important aquatic creatures that are directly or indirectly related to human health and wealth. With thousands of different species inhabiting various water bodies around the world, each fish contributes to the overall biodiversity and sustainability of these environments. Humans have long relied on aquatic resources for food, medicines, and materials. Fish species are adapted to a variety of environments such as freshwater lakes, rivers, reservoirs, oceans, and estuaries. The diversity of habitats available allows a variety of fish species to thrive in different environments. Fish diversity is a vital component of aquatic ecosystems, supporting ecosystem stability, economic value, and cultural significance. India's inland water resources are abundant and diverse, including reservoirs that play an important role in the country's inland fisheries sector.Biodiversity and its conservation are considered one of the key issues to enable sustainable use of natural resources. Protecting ichthyophan diversity in its natural habitat is essential and the need of the hour. By understanding the factors that influence fish diversity and the importance of preserving biodiversity, we can work towards protecting and protecting these priceless resources for upcoming generations.

Nonlinear probabilistic methods for predicting offshore wind platform pitch motion stability in random environments

Nonlinear probabilistic methods for predicting offshore wind platform pitch motion stability in random environments

The Possible Factors that Influence the Stability of Binary Star System

Binary star systems are a crucial subject in astrophysics, as they provide insights into stellar formation, evolution, and dynamics. Despite extensive research, there remains a gap in understanding the factors influencing the longterm stability of such systems. This paper discusses the factors that may affect the stability of binary star systems by analyzing and exploring the physical laws and formulas of the operation of binary star systems and using the operation data of specific binary star systems as evidence. It can be concluded that the factors affecting the stability of a binary star system may be as follows: 1. Mass ratio of two stars, 2. Stellar spacing, 3. Orbital eccentricity, 4. Influence of stellar evolution stage, 5. The influence of external bodies. Future research should further explore the combined effects of these factors in more complex systems to better understand binary star stability in various astrophysical environments. Additionally, understanding how these factors interact in multi-body systems could provide deeper insights into the evolution of complex stellar systems.

Variation Characteristics of Actual Evapotranspiration and Uncertainty Analysis of Its Response to Local Climate Change in Arid Inland Region of China

Exploring the variation characteristics of actual evapotranspiration (ETa) and its response to climate change in the arid inland region of China is of great significance for strengthening regional water resources management and maintaining ecological environment security and stability. Taking the Dulan River Basin as the research area, based on the meteorological data from the Wulan Station and hydrological data from the Shanggaba Station from 1981 to 2020, the variation characteristics of ETa at the annual scale were analyzed. The ETa estimation model and joint distribution model of P and potential evapotranspiration (ET0) was constructed based on climate factors, and the uncertainty of ETa response to climate change was explored with the water balance method, multiple linear regression, marginal distribution function, Copula function, and Monte Carlo algorithm. The results showed that the multi-year mean value of ETa in the study area was 261.6 mm, and the interannual process showed an insignificant upward trend, and had no abrupt change during the period. There were two obvious main cycles, which were 19-year periodic changes on the 30-year time scale and 6-year periodic changes on the 9-year time scale. The ETa estimation model based on precipitation (P) and ET0 had good simulation accuracy. The optimal marginal distributions of P and ET0 were Pearson-III (P-III) distribution and Generalized Extreme Value (GEV) distribution, respectively. The Copula joint distribution probability density of P and ET0 was a symmetric saddle-shaped distribution. ETa showed an inverted ‘S’ distribution with the change in joint guarantee rate of P and ET0, ranging from 116.9 mm to 498.6 mm. ETa was an interval range under a certain joint guarantee rate. The research results can provide support for the assessment of ETa, and help to further understand the driving mechanism of climate change on ETa in the arid inland region of China.

Prussian Blue-Derived Atomic Fe/Fe3C@N-Doped C Catalysts Supported by Carbon Cloth as Integrated Air Cathode for Flexible Zn-Air Batteries.

The development of an integrated air cathode with superior oxygen reduction reaction (ORR) performance is fundamental to flexible zinc-air batteries (ZABs) for wearable electronics. Herein, a self-assembled metal-organic framework (MOF)-derived strategy is proposed to prepare a atomic Fe/Fe3C@N-doped C catalysts supported by carbon cloth (CC) catalyst for use as an air cathode of flexible ZABs. The Prussian Blue precursor, which self-assembles on the surface of the carbon cloth due to electrostatic attraction, is critical in achieving the uniform dispersion of catalysts with high density loading on carbon cloth substrates. The hollow cubic structure, N-doped carbon layer coating, and the integrated electrode design can provide more accessible active sites and facilitate a rapid electron transfer and mass transport. Density functional theory (DFT) calculation reveals that the electronic interactions between the Fe-N4 and Fe3C dual active sites can optimize the adsorption-desorption behavior of oxygen intermediates formed during the ORR. Consequently, the Fe/Fe3C@N-doped C/CC exhibits an excellent half wave potential (E1/2 = 0.903V) and superior long-term cycling stability in alkaline environments. With excellent ORR performance, ZABs and flexible ZABs based on Fe/Fe3C@N-doped C/CC air cathode demonstrate excellent overall electrochemical performance in terms of open circuit voltage, maximum power density, flexibility, and cycling stability.

Optimal Configuration Model for Large Capacity Synchronous Condenser Considering Transient Voltage Stability in Multiple UHV DC Receiving End Grids

In a multi-fed DC environment, the UHV DC recipient grid faces significant challenges related to DC phase shift failure and voltage instability due to the high AC/DC coupling strength and low system inertia level. While the new large-capacity synchronous condensers (SCs) can provide effective transient reactive power support, the associated investment and operation costs are high. Therefore, it is valuable to investigate the optimization of SC configuration at key nodes in the recipient grid in a scientific and rational manner. This study begins by qualitatively and quantitatively analyzing the dynamic characteristics of DC reactive power and induction motors under AC faults. The sub-transient and transient reactive power output model is established to describe the SC output characteristics, elucidating the coupling relationship between the SC’s reactive power output and the DC reactive power demand at different time scales. Subsequently, a critical stabilized voltage index for dynamic loads is defined, and the SC’s reactive power compensation target is quantitatively calculated across different time scales, revealing the impact of transient changes in DC reactive power on the transient voltage stability of the multi-fed DC environment with dynamic load integration. Finally, an optimal configuration model for the large-capacity SC is proposed under the critical stability constraint of dynamic loads to maximize the SC’s reactive power support capability at the lowest economic cost. The proposed model is validated in a multi-fed DC area, demonstrating that the optimal configuration scheme effectively addresses issues related to DC phase shift failures and voltage instability resulting from AC bus voltage drops.