Stability Effects Research Articles

Research on large-signal stability of SOFC-lithium battery ship DC microgrid

Aiming at the solid oxide fuel cell (SOFC) applied to the ship DC microgrid in the face of pulse load disturbance is prone to make the SOFC voltage drop too large leading to the DC grid oscillation problem. In this paper, a stability criterion method for SOFC-Li battery DC system based on hybrid potential function is proposed. Firstly, a mathematical model of shipboard DC microgrid with SOFC-Li battery is established and the accuracy of the model is verified. Then, the stability criterion of the system based on the hybrid potential function under large disturbances is constructed. Subsequently, the effects of system stability under impulse load conditions were analysed under different parameters. Based on the constructed criterion, simulation verification of the stability boundary conditions of the SOFC system operating independently or jointly with a lithium battery system is carried out. The experimental results show that the proposed stability criterion and control strategy are effective in accurately predicting the system stability boundary. The experimental results verify the effectiveness of the proposed method in improving the stability of the system and provide a theoretical basis for further research on the dynamic characteristics of SOFC systems under complex load conditions.

Investigation of the effects of indoor air stability on the airborne transmission of droplets from violent respiratory events

Indoor air stability is a condition under which the indoor temperature gradients can affect the trajectories of constant breathing flows. However, it remains unclear how indoor air stability affects the airborne contaminants from violent respiratory events such as coughing. Here, we report a study of the dispersion of airborne droplets from coughing under different indoor air stability conditions. The distributions of droplets from coughing processes under stable and unstable conditions were compared. The results revealed that the stable conditions confined the coughed droplets to the breathing zone of the droplet host, whereas the unstable conditions intensified the dispersion of droplets and reduced their local concentration. The dimensionless vertical distance of the droplet cloud under the stable condition was 4 times longer than that of the unstable condition at t = 15 s. In addition, we observed that high ventilation rate caused an intense mixing of the indoor air, thus weakening the effect of indoor air stability on the propagation of droplet cloud. Personal exposure of the stable condition was 6.5 times larger than that of the unstable condition at a ventilation rate of 2.1 ACH, while it decreased to lower than half of that of the unstable condition at 7.1 ACH and 12.3 ACH. Personal exposure to the indoor environment should be assessed by simultaneously considering the indoor air stability conditions and ventilation rates. This study has provided insights into the transmission of cough droplets in indoor environments and has practical significance for preventing the spread of contagious diseases.

Evaluation and Limitations of the Novel Chemiluminescent Enzyme Immunoassay Technique for Measuring Total Tau Protein in the Cerebrospinal Fluid of Patients with Human Prion Disease: A 10-Year Prospective Study (2011-2020).

Recently, the investigation of cerebrospinal fluid (CSF) biomarkers for diagnosing human prion diseases (HPD) has garnered significant attention. Reproducibility and accuracy are paramount in biomarker research, particularly in the measurement of total tau (T-tau) protein, which is a crucial diagnostic marker. Given the global impact of the coronavirus disease pandemic, the frequency of measuring this protein using one of the world's fully automated assays, chemiluminescent enzyme immunoassay (CLEA), has increased. At present, the diagnosis and monitoring of neurological diseases mainly rely on traditional methods, but their accuracy and responsiveness are limited. There is limited knowledge of the accuracy of CLEA in tau measurements. We aimed to measure T-tau protein using CLEA and to elucidate its merits and limitations. We randomly selected 60 patients with rapidly progressive dementia, using ELISA and CLEA analysis of cerebrospinal fluid specimens. Additionally, we used Western blotting to detect the presence of 14-3-3 protein and employed real-time quaking-induced conversion (RT-QuIC) assays to analyze the same set of samples. Furthermore, we examined the correlation coefficient between ELISA and CLEA results in a subset of 60 samples. Moreover, using CLEA, we evaluated the diurnal reproducibility, storage stability, dilutability, and freeze-thaw effects in three selected samples. In 172 patients, 172 samples were extracted, with each patient providing only one sample, and a total of 88 (35 men and 53 women) tested positive for HPD in the RT-QuIC assay. In contrast, all CSF samples from the remaining 84 patients without HPD (50 men and 34 women) tested negative in the RT-QuIC assay. Both ELISA and CLEA showed perfect sensitivity and specificity (100%) in measuring T-tau protein levels. In addition, ELISA and CLEA are similar in terms of measurement sensitivity and marginal effect of detection extrema. CLEA analysis exhibited instability for certain samples with T-tau protein levels exceeding 2000 pg/mL, leading to low reproducibility during dilution analysis. Our findings indicate that CLEA outperforms ELISA in terms of diurnal reproducibility, storage stability, and freeze-thaw effects. However, ELISA demonstrated superior performance in the dilution assay. Therefore, it is imperative to develop innovative approaches for the dilution of biomarker samples for CLEA measurements during clinical trials.

Acceptors stability modulates the efficiency of post-translational protein N-glycosylation.

N-glycosylation is the most common protein modification in the eukaryotic secretory pathway. It involves the attachment a high mannose glycan to Asn residues in the context of Asn-X-Ser/Thr/Cys, a motif known as N-glycosylation sequon. This process is mediated by STT3A and STT3B, the catalytic subunits of the oligosaccharyltransferase complexes. STT3A forms part of complexes associated with the SEC61 translocon and functions co-translationally. Vacant sequons have another opportunity for glycosylation by complexes carrying STT3B. Local sequence information plays an important role in determining N-glycosylation efficiency, but non-local factors can also have a significant impact. For instance, certain proteins associated with human genetic diseases exhibit abnormal N-glycosylation levels despite having wild-type acceptor sites. Here, we investigated the effect of protein stability on this process. To this end, we generated a family of 40 N-glycan acceptors based on superfolder GFP, and we measured their efficiency in HEK293 cells and in two derived cell lines lacking STT3B or STT3A. Sequon occupancy was highly dependent on protein stability, improving as the thermodynamic stability of the acceptor proteins decreases. This effect is mainly due to the activity of the STT3B-based OST complex. These findings can be integrated into a simple kinetic model that distinguishes local information within sequons from global information of the acceptor proteins.

Evaluation of the non-Newtonian lattice Boltzmann model coupled with off-grid bounce-back scheme: Wall shear stress distributions in Ostwald-de Waele fluids flow.

We present a comprehensive analysis of the non-Newtonian lattice Boltzmann method (LBM) when it is used to simulate the distribution of wall shear stress (WSS). We systematically identify sources of numerical errors associated with non-Newtonian rheological behavior of fluids in off-grid geometries. We implement the single relaxation time, Bhatnagar-Gross-Krook (BGK), and multiple relaxation time (MRT) collision operators and investigate flow in a two-dimensional channel aligned with lattice directions and off-grid Hagen-Poiseuille flow of Ostwald-de Waele (power-law) fluids. As for boundary conditions, we implement constant body force-driven and pressure-driven flows. These two boundary conditions have different numerical challenges, which include numerical stability, accuracy, mass conservation, and compressibility effects, which are inherent in the LBM method. Our results indicate that MRT, when the relaxation times are adequately tuned in the non-Newtonian case, significantly improves the WSS distribution accuracy and the numerical stability of the LBM. MRT also enhances the stability and accuracy for non-Newtonian fluids compared with the Newtonian case, meaning that it is questionable if a BGK collision operator is appropriate to use in a non-Newtonian case with off-grid boundaries. When analyzing the non-Newtonian LBM in the context of staircase walls and interpolated bounce-back (IBB) walls, a MRT collision operator with the appropriate choice of tunable relaxation times makes it possible to achieve numerically accurate results without a significant increase in grid resolution for matching to the analytical solution of WSS distributions. In analyzing the non-Newtonian flows, we show that the viscosity dependency of bounce-back walls in the BGK-LBM deviates from the results obtained under Newtonian assumptions. The power-law index further influences these discrepancies, and errors caused by the viscosity dependency of the bounce-back boundary conditions can be effectively mitigated by implementing the MRT procedure. Results show that non-Newtonian fluids, in contrast with the Newtonian assumption, encounter a greater mass imbalance when flowing through a periodic system with IBB walls. MRT can address this challenge, as it allows for independent adjustments of physical relaxation times and enhances mass conservation in the case of non-Newtonian fluids. In pressure-driven non-Newtonian flows, there is a significant impact of bulk viscosity. This aspect is often overlooked in Newtonian simulations but can significantly impact fluid adapting to rapid changes in local effective viscosity. One of our main conclusions is that the MRT collision operator with tuned relaxation times can effectively resolve numerical problems caused by non-Newtonian rheological properties and off-grid geometries. We also provide practical guidelines for selecting the most suitable simulation approach.

Extracellular vesicles the delivery of drugs through genetic engineering

Researchers from a variety of disciplines are investigating the use of extracellular vesicles (EVs) as delivery vehicles for pharmaceutical solutions. In order to make the most of the therapeutic potential of EVs, various loading strategies have been devised. Despite the widespread application of exogenous methods, endogenous approaches are becoming increasingly preferred instead. Medicinal macro molecules such as proteins and nucleic acids can be loaded with relative ease using this technology that manipulates parental cells through genetic engineering. We examine the most effective ways for EV loading and demonstrate why endogenous is superior. Extracellular vesicles (EVs), which are able to transport pharmaceuticals, have the potential to tackle the problems of biologic therapeutic stability and off-target undesirable effects. In addition, we investigate the most recent findings and applications of this innovative method in order to shed light on the numerous potential therapeutic possibilities in the field of EV-based treatments. The possibility of endogenous loading of EVs with big biological medicines has been brought to light by recent research. In order to optimize the loading of biologic drugs in extracellular vesicles (EVs), researchers have been able to apply cargo selection and loading pathway molecules thanks to advancements in EV biogenesis. It has been established that endogenous EV loading is successful in preclinical in vivo trials, which demonstrates its promise in a variety of therapeutic situations.

Stability effects of added biomass on microalgae styrene–butadiene–styrene composites

Stability effects of added biomass on microalgae styrene–butadiene–styrene composites

Study of the Adsorption/Desorption Behavior of Uranium in a Forest Soil

ABSTRACT The behavior of soluble uranium (VI) on the adsorption/desorption processes in the presence of a natural forest soil (FS) or a gamma-irradiated forest soil (FS-I) provides important knowledge on the fate and mobility of this element in contaminated soils and groundwater. Soil from a forest was irradiated with a dose of 1 MGy 60Co gamma radiation and was compared with natural soil to determine the behavior of U(VI) in these materials. Both natural and gamma irradiated soils were characterized by several physicochemical techniques. Kinetics, isotherms, effects of pH, U(VI) concentration, temperature, and stability of the U(VI)/adsorbents were considered. The equilibrium of adsorption processes U O 2 2 + /FS and U O 2 2 + /FS-I were achieved in 2 h, and the data were well fitted to the pseudo first (FS-I), pseudo second (FS), and Elovich models (FS): qe value was 14 mg g−1 for FS, slightly higher than 12 mg g−1 for FS-I. The isotherm data were well-fitted to the Langmuir and Temkin models for FS and FS-I, respectively. The processes of both materials are independent of the temperature between 30 and 50°C; however, they are sensitive to pH and U(VI) concentration. Furthermore, acidic media and complexing agents were good desorbents for U(VI) from the natural and irradiated soils.

From Attitude to Behavior: The Effect of Residents' Food Waste Attitudes on Their Food Waste Behaviors in Shanghai.

Preventing food waste is important. Analyzing the effects of food waste attitudes on urban residents' waste production behaviors is necessary to reduce food waste. As Shanghai is a mega-city with a population of 24 million people, once food is adequately supplied, more attention is paid to the safety of food in terms of quantity, quality, and nutrition. COVID-19 gave a shock to the food supply in Shanghai, which in turn resulted in food waste behavior. The moderating effect of pandemic during the COVID-19 is one that has rarely been mentioned in previous studies. An investigation of urban residents was conducted in Shanghai. A total of 1030 valid questionnaires were collected in October 2020. This study examined the influence of food waste attitudes on food waste behavior under the moderating effects of pandemic expectations, quantity safety, quality safety, and price stability using a multivariate ordered probit model. The results show that food waste attitudes had a significant negative effect on food waste behavior at a p < 0.01 level of significance, which means that the more people feel shame about food waste, the less food waste they will have. The interaction coefficient between food waste attitudes and pandemic expectations was positive at a p < 0.1 level of significance. This paper concludes with strategies for dealing with food waste in the future.

Effects of Corruption, Government Effectiveness and Political stability on Economic Growth: Evidence from Morocco

This study examines the impact of Corruption, government effectiveness and political stability on economic growth in Morocco. We conduct an empirical analysis to quantify the impact of institutional quality on economic growth over the period 1996 – 2021 by employing Two Stage Least Squares (2SLS). The findings reveal that corruption has a significant negative influence on economic growth, highlighting the importance of anti-corruption measures. On the other hand, political stability emerges as a key driver of economic growth, emphasizing the need for stable political environments to attract investments and foster entrepreneurship. Additionally, the growth of the public spending negatively affects GDP per capita, stressing the significance of prudent fiscal policies and effective public sector management. This research emphasizes the critical role of institutions, political stability, and efficient governance in driving economic growth. Policymakers can leverage these insights to enhance these institutional quality indicators and foster sustainable and inclusive economic development.

Effects of housing stability and contemporary mortgage lending bias on breast cancer stage at diagnosis among older women in the United States.

Interventions aimed at upstream factors contributing to late-stage diagnoses could reduce disparities and improve breast cancer outcomes. This study examines the association between measures of housing stability and contemporary mortgage lending bias on breast cancer stage at diagnosis among older women in the United States. We studied 67,588 women aged 66-90 from the SEER-Medicare linked database (2010-2015). The primary outcome was breast cancer stage at diagnosis. Multinomial regression models adjusted for individual and neighborhood socio-economic factors were performed using a three-category outcome (stage 0, early stage, and late stage). Key census tract-level independent variables were residence in the same house as the previous year, owner-occupied homes, and an index of contemporary mortgage lending bias. In models adjusted for individual factors, higher levels of mortgage lending bias were associated with later stage diagnosis (RR = 1.10, 95% CI 1.02-1.20; RR = 1.31, 95% CI 1.16-1.49; RR = 1.41, 95% CI 1.24-1.60 for least to high, respectively). In models adjusted for individual and neighborhood socio-economic factors, moderate and high levels of mortgage lending bias were associated with later stage diagnosis (RR = 1.16, 95% CI 1.02-1.33 for moderate and RR = 1.18, 95% CI 1.02-1.37 for high). Owner occupancy and tenure were not associated with later stage diagnosis in adjusted models. Contemporary mortgage lending bias demonstrated a significant gradient relationship with later stage at diagnosis of breast cancer. Policy interventions aimed at reducing place-based mortgage disinvestment and its impacts on local resources and opportunities should be considered as part of an overall strategy to decrease late-stage breast cancer diagnosis and improve prognosis.

Investigation of Zn Doped Li1.5Al0.5−xZnxGe1.5(PO4)3 (x = 0, 0.1 & 0.2) as a Solid Electrolyte for Li Ion Batteries

All solid lithium-ion batteries (ASLB) have gained a lot of attention as it could deliver high energy and power density. In order to completely establish ASLB, proper understanding of solid electrolyte is very vital and the research from diverse point is still undergoing. Among them, NASICON-type phosphate based solid electrolytes are one of the promising materials due to good ionic conductivity and atmospheric stability. Addition of proper dopants into the parent material could cause an increment in their ionic conductivity as well as stability, thus fitting the material apt as solid electrolyte. This study aims in understanding the effect of ionic conductivity and stability of Lithium Aluminium Germanium Phosphate (LAGP) material upon adding Zinc as dopant material. We explored the effect of structural, ionic conductivity, stability against Li and Ac conductivity properties of Li1.5Al0.5−xZnxGe1.5(PO4)3 solid electrolyte with x = 0, 0.1 and 0.2. Our study showed that doping of aluminium with slightly bigger Zn ion could enhance the stability and conductivity of the material without changing the crystal structure. When x = 0.1 the ionic conductivity of the material attained is 1 × 10−5 S cm−1 at RT, which reaches 2.57 × 10−5 S cm−1 at 60 °C. Such a change in conductivity arises due to the expansion of ionic pathways which can be further tuned by exploring the limiting concentration 0 ≤ x < 0.1. Moreover, the sample also showed good stability at 0.03 and 0.05 mA cm−2 current densities against Li metal. Present study shows that Zn doping can improve the ionic conductivity of LAGP moderately and it can be used as a solid electrolyte for fabricating all-solid-state batteries.

Tailoring optical temperature sensing performance of K7MgSc2B15O30:Mn2+ via structure modulation

Due to its relatively low cost and remote detection characteristics, optical temperature sensing technology based on FIR has received widespread attention. At present, there is a lack of theoretical guidance on how to purposefully improve or guide the development of high-performance temperature sensing materials. Herein, the structure of a novel material K7MgSc2B15O30 has been confirmed by the XRD analysis. Furthermore, the effect of Zn on the crystal structure and the photoluminescence (PL) properties of K7MgSc2B15O30:Mn2+ has been studied. The PL spectra analysis of a series of Mn2+ doped K7MgSc2B15O30 luminescence materials indicates that two kinds of Mn2+ emitting centers (Mn(1) and Mn(2)) exist due to the two possible substitution sites Mg2+ and Sc3+. With the increasing of Zn2+, the intensity ratio of Mn(2) to Mn(1) improves from 1.01 to 1.88 at room temperature. Especially, the thermal stability of Mn(1) and Mn(2) gradually decrease with the increasing of Zn2+ contents, which can be due to the lengthening of Zn/Mg–O bonds and the lattice distortion of ScO6, respectively. Finally, their temperature sensing sensitivity has been enhanced by the doping of Zn2+, which has a close relation to the different effect of the thermal stability of Mn(1) and Mn(2). This work is expected to provide new ideas for the development of high-performance temperature sensing materials based on FIR, and is helpful to understand the relationship between the crystal structure and luminescence properties.

Preparation, Characterization and Drug Delivery Research of γ-Polyglutamic Acid Nanoparticles: A Review.

γ-Polyglutamic acid is a kind of biomaterial and environmentally friendly polymer material with the characteristics of water solubility and good biocompatibility. It has a wide range of applications in medicine, food, cosmetics and other fields. This article reviews the preparation, characterization and medical applications of γ-polyglutamic acid nanoparticles. Nanoparticles prepared by using γ- polyglutamic acid not only had the traditional advantages of enhancing drug stability and slow-release effect, but also were simple to prepare without any biological toxicity. The current methods of nanoparticle preparation mainly include the ion gel method and solvent exchange method, which use the total electrostatic force, van der Waals force, hydrophobic interaction force and hydrogen bond force between molecules to embed materials with different characteristics. At present, there are more and more studies on the use of γ-polyglutamic acid to encapsulate drugs, and the research on the mechanism of its encapsulation and sustained release has gradually matured. The development and application of polyglutamic acid nanoparticles have broad prospects.

Enhanced thermal cycle stability and shape memory effect in NiTiHf shape memory alloys fabricated by laser powder bed fusion

We report on the fabrication of NiTiHf high temperature shape memory alloys (SMAs) via laser powder bed fusion (LPBF), which are almost free of micro-pores and display (Ti, Hf)2Ni nanoprecipitates with variable size and volume fraction. The effect of variable laser powers of 50 W, 60 W and 70 W on the martensite variant microstructures and mechanical properties of the LPBFed SMAs was investigated. Interestingly, all LPBFed NiTiHf samples display enhanced thermal cycle stability of transformation temperatures with a temperature eviation of −3°C, which is attributed to the lack of dislocation slip originated from the habit plane configuration characteristic with multidomain (001) martensite compound twins. Meanwhile, all LPBFed NiTiHf samples exhibit trained one-way and two-way shape memory effects due to the dislocation slip upon compression deformation at room temperature.

Effects of core stability with dynamic stretching in addition to routine physical therapy in patients with chronic low back pain: a randomized controlled trial

Effects of core stability with dynamic stretching in addition to routine physical therapy in patients with chronic low back pain: a randomized controlled trial

General Methods for the Analysis of Chemical Properties of Fuels

This article is the third in a series of articles focused on presenting common methods for evaluating conventional and alternative fuels. The first two articles of the series were devoted to the determination of elements and non-hydrocarbon compounds in fuels [1]) and the determination of the physical properties of fuels [2]). This text presents an overview of the chemical properties determined for individual fuels. The chemical properties, acidity and alkalinity of fuels, content of unsaturated compounds, aniline point, water content, oxidation stability, and corrosive properties of fuels are presented in this article. The main goal of the article is to provide a comprehensive overview of which fuels are monitored, why they are monitored, and what methods are used for this monitoring. The emphasis is mainly on standardized parameters and tests, but in some cases, non-standardized tests are also discussed, or (additional) determinations not required by standards. For conventional and alternative fuels, several physical chemical, or other properties are used to evaluate the quality of these fuels. In this article, we present an overview of the chemical properties that are monitored for liquid and gaseous conventional and alternative fuels. These are acidity and alkalinity, content of unsaturated compounds, aniline point, water content, oxidation stability, and corrosive effects of fuels. In the article, we present the testing methods that are used to monitor these properties. Furthermore, we also present the reasons why these properties are monitored for individual fuels. Emphasis is placed on standardized parameters and tests, i.e., those prescribed by the relevant standards for individual fuels. However, parameters and alternative methods are also discussed, which are not prescribed by any standard for the respective fuels, but are supplementary determinations. The determination of elements and hydrocarbon and non-hydrocarbon compounds in fuels potentially falls within the scope of this article. However, since two separate articles [1] were devoted to these parameters, they will not be discussed here

Error analysis of self-compensated ultrasound measurements of the thickness loss due to corrosion in pipe walls

The ultrasonic pulse-echo technique is widely employed to measure the wall thickness reduction due to corrosion in pipelines. Ultrasonic monitoring is noninvasive and can be performed online to evaluate the structural health of pipelines. Although ultrasound is a robust technique, it presents two main difficulties arising from the temperature variation in the medium being monitored: the mechanical assembly must have high stability and the ultrasonic propagation velocity must take into account the temperature variation. In this paper, a detailed strategy is presented to compensate for changes in the propagation velocity whenever the temperature changes. The method is considered self-compensated because the calibration data is obtained from the ultrasonic signals captured using the pipe under evaluation. The analysis of systematic errors in the temperature compensation is presented, first considering that a reference initial pipe thickness is given, and second when a reference sound velocity is given. The technique was evaluated under laboratory conditions using a closed loop with accelerated corrosion through the use of continuous flow saline water containing sand. In this test, the ultrasonic results were compared with the traditional coupon method used to determine corrosion loss. The results show that the self-compensated method was able to compensate for temperature fluctuations, and the total thickness loss measured by the ultrasound technique was close to the value measured by the coupons. Finally, the measurement system was tested in a production pipeline exposed to sunlight. The results show that the self-compensated method can reduce the oscillations in the thickness loss readings, caused by temperature swings, but large temperature variations cannot be completely compensated for. This experiment also shows the effects of low mechanical stability, which caused completely invalid results.

Potent anti-inflammatory and anti-apoptotic activities of electrostatically complexed C-peptide nanospheres ameliorate diabetic nephropathy

In the present era of “Diabetic Pandemic”, peptide-based therapies have generated immense interest however, are facing odds due to inevitable limitations like stability, delivery complications and off-target effects. One such promising molecule is C-peptide (CPep, 31 amino acid polypeptide with t1/2 30 min); it is a cleaved subunit of pro-insulin, well known to suppress microvascular complications in kidney but has not been able to undergo translation to the clinic till date. Herein, a polymeric CPep nano-complexes (NPX) was prepared by leveraging electrostatic interaction between in-house synthesized cationic, polyethylene carbonate (PEC) based copolymer (Mol. wt. 44,767 Da) and negatively charged CPep (Mol. wt. 3299 Da) at pH 7.4 and further evaluated in vitro and in vivo. NPX exhibited a spherical morphology with a particle size of 167 nm and zeta potential equivalent to +10.3, with 85.70 % of CPep complexation efficiency. The cellular uptake of FITC-tagged CPep NPX was 95.61 % in normal rat kidney cells, NRK-52E. Additionally, the hemocompatible NPX showed prominent cell-proliferative, anti-oxidative (1.8 folds increased GSH; 2.8 folds reduced nitrite concentration) and anti-inflammatory activity in metabolic stress induced NRK-52E cells as well. The observation was further confirmed by upregulation of anti-apoptotic protein BCl2 by 3.5 folds, and proliferative markers (β1-integrin and EGFR) by 3.5 and 2.3 folds, respectively, compared to the high glucose treated control group. Pharmacokinetic study of NPX in Wistar rats revealed a 6.34 folds greater half-life than free CPep. In in-vivo efficacy study in STZ-induced diabetic nephropathy animal model, NPX reduced blood glucose levels and IL-6 levels significantly by 1.3 and 2.5 folds, respectively, as compared to the disease control group. The above findings suggested that NPX has tremendous potential to impart sustained release of CPep, resulting in enhanced efficacy to treat diabetes-induced nephropathy and significantly improved renal pathology.

Clay minerals accelerate the formation of indoor biocrusts: Effects and mechanism

The rapid formation or restoration of biocrusts by human intervention, such as constructing artificial biocrusts, is considered a promising technology for desertification control. To date, most of the studies mainly focused on the role of cyanobacteria and their excreted exopolysaccharides (EPSs) in the process of biocrusts formation and development, while few studies have been concerned about clay minerals, which play an important role in soil development as the abiotic factor. In this study, two clay minerals (montmorillonite and kaolinite) were added to crushed natural biocrusts at different ratios(0.5 %, 1 %, 2 %, 5 %, 10 %; w/w), aiming to explore the effects and mechanism of clay minerals on the formation of biocrusts. The results showed that low-level montmorillonite (0.5–2 %; w/w) addition significantly increased the photosynthetic biomass by about 50 % (indicated by Chlorophyll-a and gene copies) and promoted the accumulation of total nitrogen, nitrate nitrogen, ammonia nitrogen, and total organic carbon. The results of the structural equation model showed that the enhancement effect of clay minerals on the formation of biocrusts is mainly ascribed to its direct positive effect on biocrust physical stability and indirect positive effects through increasing both the cyanobacterial biomass and EPS excretion. Notably, the addition of montmorillonite increased the physical stability of the biocrusts by 18 %-53 %, while kaolinite did not play a positive role in the formation of biocrusts. Moreover, excessive montmorillonite (more than 2 %) and kaolinite caused the significant shift of dominance from Cyanobacteria to Proteobacteria, and a sharp decrease in EPS excretion, posing a high risk of biocrust disintegration. Overall, our findings demonstrate the stimulation mechanism of clay addition on restoring natural biocrusts, providing new insight for constructing artificial biocrusts and restoring degraded biocrusts in dryland.