Strong Stability Research Articles

Tunable diode laser absorption spectroscopy for gas detection with a negative curvature anti-resonant hollow-core fiber

In this study, an all-fiber gas sensing technology was proposed, which is based on tunable diode laser absorption spectroscopy in the near infrared. A negative curvature anti-resonant hollow-core fiber was used as the gas chamber and optical channel, and an opto-gas coupling miniature tee was used in the configuration. Down to ppb (parts-per-billion) level noise-equivalent concentration was achieved with a fast-response capability of less than 6 s. The results demonstrated strong long-term stability, with a relative standard deviation of approximately 2.1% over a 12-h period. This approach demonstrates a simple, robust, fast response and compact sensor configuration that contributes to better management of greenhouse gas emissions and environmental pollution.

On the strong stability of ergodic iterations

Abstract We revisit processes generated by iterated random functions driven by a stationary and ergodic sequence. Such a process is called strongly stable if a random initialization exists for which the process is stationary and ergodic, and for any other initialization the difference of the two processes converges to zero almost surely. Under some mild conditions on the corresponding recursive map, without any condition on the driving sequence we show the strong stability of iterations. Several applications are surveyed such as generalized autoregression and queuing. Furthermore, new results are deduced for Langevin-type iterations with dependent noise and for multitype branching processes.

Structural, electronic, and magnetic properties of binary zigzag antimonene-phosphorene nanoribbons and their mole fractions with different edge passivation: A DFT investigation

The study focuses on binary antimonene-phosphorene, a two-dimensional semiconductor material known for its high carrier mobility, suitable band gap, and strong environmental stability, making it appealing for electronics and spintronics applications. In this study, using density functional theory, we investigated the structural stability and electronic-magnetic properties of zigzag SbP nanoribbons, as well as single Sb and single P nanoribbons. Various edge passivation (H, F, Cl, O, S) are considered, along with different phosphorus mole fractions. The findings show that SbP structures with 25 % phosphorus mole fractions, as well as those passivated with various atoms, demonstrate strong conformational stability. SbP nanoribbons passivated with H, F, and Cl exhibit non-magnetic semiconductor behavior, while those passivated with O and S display magnetic metallic properties. Maximal magnetization is observed in SbP nanoribbons passivated with single S atoms, particularly magnetizing both Sb and P atoms at the edges. Additionally, SbP nanoribbons passivated with dual O atoms show negative differential resistivity and a complete spin filtering effect (100 %). The study also investigates the variation in magnetization across structures with different phosphorus mole fractions. Overall, the study demonstrates that adjusting phosphorus mole fractions and edge passivation can significantly modify the electronic and magnetic properties of SbP nanoribbons, making them suitable for spintronic nanodevices.

The characterization of ancient Methanococcales malate dehydrogenases reveals that strong thermal stability prevents unfolding under intense γ-irradiation.

Malate dehydrogenases (MalDH) (EC.1.1.1.37), which are involved in the conversion of oxaloacetate to pyruvate in the tricarboxylic acid cycle, are a relevant model for the study of enzyme evolution and adaptation. Likewise, a recent study showed that Methanococcales, a major lineage of Archaea, is a good model to study the molecular processes of proteome thermoadaptation in prokaryotes. Here, we use ancestral sequence reconstruction and paleoenzymology to characterize both ancient and extant MalDHs. We observe a good correlation between inferred optimal growth temperatures (OGTs) and experimental optimal temperatures for activity (A-Topt). In particular, we show that the MalDH present in the ancestor of Methanococcales was hyperthermostable and had an A-Topt of 80°C, consistent with a hyperthermophilic lifestyle. This ancestor gave rise to two lineages with different thermal constraints, one remaining hyperthermophilic while the other underwent several independent adaptations to colder environments. Surprisingly, the enzymes of the first lineage have retained a thermoresistant behavior (i.e., strong thermostability and high A-Topt), whereas the ancestor of the second lineage shows a strong thermostability, but a reduced A-Topt. Using mutants, we mimic the adaptation trajectory towards mesophily and show that it is possible to significantly reduce the A-Topt without altering the thermostability of the enzyme by introducing a few mutations. Finally, we reveal an unexpected link between thermostability and the ability to resist γ-irradiation-induced unfolding.

A novel spatio-temporal prediction model of epidemic spread integrating cellular automata with agent-based modeling

Since 2019, major infectious disease outbreaks have placed tremendous pressure on global public health systems, triggering extensive research on the predictive modeling of infectious diseases. Cellular Automaton (CA) is primarily used in the spatial prediction of infectious diseases to establish a model to for simulating the interaction between different regions and the infection risk to simulate the transmission process of the disease and predict its development trend. However, CA models are governed by initial fixed rules and local interactions, and often fail to capture the complex dynamics of epidemic transmission, which are influenced by factors such as public behavior and government intervention. In view of these limitations, we propose a factorial simulation model for the spatial spread of epidemics, the CA-ABM, which divides agents into three categories–public, government, and hospital agents–to comprehensively express the macro factors that affect the development of epidemics. Agent-Based Modeling (ABM) influences the transition rules of the CA through agent choices, constraints and supporting behaviors. Focusing on the COVID-19 pandemic in mainland China from February 6 to March 20, 2020, we simulate its spread. The results showed an average improvement of 8.4 % in prediction accuracy, with few errors, RMSE under 200, and R2 values over 0.9 in most provinces, demonstrating strong macro-scale stability. This approach helps regions to understand influencing factors and enables targeted infection risk assessment and prevention. In addition, scenario analysis based on CA-ABM model changes epidemic decision-making from “prediction-response” to “scenario-response” and provides theoretical reference for future epidemic management.

Synthesis and Evaluation of 3,5-Disubstituted-1,2,4-Oxadiazolyl Benzamides as Potential Anti-Breast Cancer Agents: In Vitro and In Silico Studies.

Herein, the synthesis, anti-cancer evaluation, and in silico studies of a series of 1,2,4-oxadiazole compounds (8-15) are disclosed. The synthesized molecules were tested in vitro for anti-cancer activity against MCF-7, MDA-MB-231, HeLa, Ishikawa cell lines and human embryonic kidney (HEK-293) cell lines. Among the synthesized compounds, 9 and 15 exhibited significant cytotoxicity, with IC50 values of 7.82 μM and 6.02 μM, respectively, against MCF-7 cell line, better than that of anti-breast cancer drug, tamoxifen (IC50 = 11.92 μM), used as control. Significantly, both 9 and 15 exhibited very low toxicity (IC50 > 20 µM) against normal HEK-293 cells. This suggests them as potentially effective anti-cancer lead molecules. The in vitro anti-cancer data was supported by in silico studies which also identified compounds 9 and 15 as potent inhibitors of the 17β-hydroxysteroid dehydrogenase1 (17β-HSD1) proteins, demonstrating strong interactions and stability The atom-based QSAR model exhibited high accuracy, significant regression, and predictive reliability, aiding in understanding and optimizing biological activity. The drug-likeness study of compounds 9 and 15 indicated favorable pharmacokinetics, with in silico toxicity predictions showing compound 15 to be non-toxic. These findings suggest compounds 9 and 15 as potential lead molecules against breast cancer.

Pre-service teachers’ competencies to develop computational thinking: A Portuguese tool to analyse Computational Thinking

Computational thinking (CT) is an essential mathematical skill for problem-solving and students’ future lives. It is integrated into the educational curricula of several countries, including Portugal. Therefore, pre-service teachers (PST) must possess didactic knowledge to effectively develop CT in students. The aim of this study encompassed three main objectives: translating and adapting the computational thinking scale into Portuguese (study 1), validating the scale (study 2), and assessing the perceived levels of CT competencies among PST in Portuguese university students while examining differences between undergraduate and master’s level PST (study 3). The sample consisted of study 1 with 43 participants and study 2 and study 3 with 382 participants. In study 1, temporal stability was assessed indicating strong stability. The internal consistency showed good homogeneity of the items. The exploratory factor analysis revealed consistency with the structure of the original scale. In conclusion, the Portuguese version of the CT scale demonstrates adequate psychometric properties, proving valid and reliable for assessing CT in university students. Additionally, significant differences were observed between undergraduate and master’s degree students, underscoring the importance of tailored training programs to meet the specific needs of undergraduate students.

Multi-Epitopic Peptide Vaccine Against Newcastle Disease Virus: Molecular Dynamics Simulation and Experimental Validation

Background: Newcastle disease virus (NDV) is a highly contagious and economically devastating pathogen affecting poultry worldwide, leading to significant losses in the poultry industry. Despite existing vaccines, outbreaks continue to occur, highlighting the need for more effective vaccination strategies. Developing a multi-epitopic peptide vaccine offers a promising approach to enhance protection against NDV. Objectives: Here, we aimed to design and evaluate a multi-epitopic vaccine against NDV using molecular dynamics (MD) simulation. Methodology: We retrieved NDV sequences for the fusion (F) protein and hemagglutinin–neuraminidase (HN) protein. Subsequently, B-cell and T-cell epitopes were predicted. The top potential epitopes were utilized to design the vaccine construct, which was subsequently docked against chicken TLR4 and MHC1 receptors to assess the immunological response. The resulting docked complex underwent a 1 microsecond (1000 ns) MD simulation. For experimental evaluation, the vaccine’s efficacy was assessed in mice and chickens using a controlled study design, where animals were randomly divided into groups receiving either a local ND vaccine or the peptide vaccine or a control treatment. Results: The 40 amino acid peptide vaccine demonstrated strong binding affinity and stability within the TLR4 and MHC1 receptor–peptide complexes. The root mean square deviation of peptide vaccine and TLR4 receptor showed rapid stabilization after an initial repositioning. The root mean square fluctuation revealed relatively low fluctuations (below 3 Å) for the TLR4 receptor, while the peptide exhibited higher fluctuations. The overall binding energy of the peptide vaccine with TLR4 and MHC1 receptors amounted to −15.7 kcal·mol−1 and −36.8 kcal·mol−1, respectively. For experimental evaluations in mice and chicken, the peptide vaccine was synthesized using services of GeneScript Biotech® (Singapore) PTE Limited. Experimental evaluations showed a significant immune response in both mice and chickens, with the vaccine eliciting robust antibody production, as evidenced by increasing HI titers over time. Statistical analysis was performed using an independent t-test with Type-II error to compare the groups, calculating the p-values to determine the significance of the immune response between different groups. Conclusions: Multi-epitopic peptide vaccine has demonstrated a good immunological response in natural hosts.

One step glow-discharge electrolysis-based preparation of Al doped Ni-Co layered double hydroxide/ graphene oxide as supercapacitor electrode material

Nickel-cobalt layered double hydroxides (LDHs) are promising materials for supercapacitor electrodes; however, they face challenges in terms of cycling stability and rate capability owing to agglomeration and low conductivity. In this study, Ni(III)CoAlx-LDH/GO with an extended layer spacing and excellent electronic conductivity was synthesized by one-step glow discharge electrolysis. A nickel–cobalt alloy was used as the anode, a graphite rod as the cathode, and sodium chloride as the electrolyte. In addition, incorporating an appropriate amount of aluminum chloride into the electrolyte can alter the microstructure of the electrode material, leading to enhanced electrochemical performance. Ni(III)CoAl0.2-LDH/GO, synthesized using 0.2 g AlCl3, demonstrated exceptional electrochemical performance of 1014C g−1 at 2 A/g. At a current density of 5 A/g, the capacitance retention rate was 85.3 % after 10,000 cycles, indicating strong cyclic stability. Moreover, an asymmetric supercapacitor built with Ni(III)CoAl0.2-LDH/GO as the anode and commercial activated carbon as the cathode achieved a specific capacitance of 146.2F/g at a current density of 1 A/g. This device demonstrated outstanding circular stability, retaining 85.07 % of its capacitance after 10,000 cycles. In addition, the device achieves relatively high energy density and power density (energy density of 66.63 Wh kg−1 at a power density of 1022.23 W kg−1). This study introduces a novel synthesis method for the preparation of high-performance electrode materials aimed at advancing energy storage devices.

Vitrification-cryopreservation of Shoot Tips Excised from Dormant Bulbs in Fritillaria przewalskii Maxim: Assessing Histological lnjuries and Evaluating Genetic Fidelity in Cryo-Derived Plants

Fritillaria przewalskii Maxim. an essential medicinal plant in the Fritillaria genus of the Liliaceae family, is widely used in traditional medicine. This study focused on developing a cryopreservation protocol for F. przewalskii, an endangered and endemic species in China. We aimed to determine if ex vitro bulbs from field-grown F. przewalskii plants could serve a source of shoot tips for cryopreservation. Key factors influencing cryopreservation outcomes were studied using a vitrification-based approach. Prior to cryopreservation, cold hardening and sucrose preculture conditions were optimized. The best results were achieved by hardening bulbs at 4℃ for 3-4 months,followed by surface disinfection and isolation of 2-5mm Shoot tips. The tips were then then precultured on a medium with 0.5M sucrose for 3 days. Cryopreservation steps included a 20-minute loading treatment, 60-minute PVS2 dehydration at room temperature, and storage in liquid nitrogen more than one hour. After thawing, this protocol resulted in 93% shoot survival rate, with tips regenerating into small bulbs within 5 weeks without intermediary callus formation. Histological analysis showed that while cooling and rewarming caused severe bud damage, apical meristem cells are the primary survival sites. Although loading and PVS2 treatment induced cell plasmolysis, it was not lethal. Optimal PVS2 treatment enhanced cellular dehydration resistance, promoting cell viability at ultralow temperature. RAPD analysis of regenepercentaged plants showed no genetic variation, confirming strong genetic stability. The direct use of ex vitro shoot tips provides a straightforward and effective cryopreservation method for F. przewalskii, combining convenience, efficiency, and genetic stability.

Financial flexibility, firm performance, and financial distress: A comparative study of China and the U.S. during pandemics

This study examines the relationship between financial flexibility, financial distress, and firm performance during pandemics, using data from 26,621 North American-listed firms and 5212 China-listed firms from 2000 to 2022. We investigate whether financial flexibility influences firm performance and financial distress, with firm performance acting as a moderator in this relationship. Our findings highlight that financial flexibility is a crucial strategic tool for mitigating economic uncertainties, effectively reducing financial distress in the U.S. In contrast, its impact in China is more complex, influenced by market maturity and regulatory interventions, especially during economic turbulence. The study also reveals differing roles of profitability and firm size between the two markets. In the U.S., larger and more profitable firms prioritize growth over financial stability, whereas in China, there is a greater emphasis on liquidity and market perception. During the SARS pandemic, China's rapid regulatory response and strong government intervention made financial flexibility more effective in reducing financial distress. Conversely, during COVID-19, the U.S. market showed robust mechanisms and corporate adaptability, with financial flexibility helping firms manage liquidity crises and market volatility. In China, stricter regulations during COVID-19 limited the role of financial flexibility, but strong government support-maintained market stability. Overall, this study underscores the different impacts of financial flexibility on Chinese and U.S. markets during pandemics and the critical role of firm performance in moderating the relationship between financial flexibility and financial distress under varying economic conditions and policy environments.

Influence of calcium-doped on the conductivity of NASICON-type Na3Zr2Si2PO4 solid electrolyte

Sodium-ion solid electrolyte has many advantages such as high safety, good ionic conductivity, and strong chemical stability. NASICON-type Na3Zr2Si2PO4 solid electrolyte was prepared by high-temperature Solid State Reaction (SSR). X-ray Diffraction (XRD) show that the 20% excess addition of Na and P elements will reduce the formation of ZrO2 impurity phase and increase the ionic conductivity to 1.01×10−4 S cm−1. On the basis of this experiment, Ca was added to dope the Na site in Na3Zr2Si2PO4 with different contents. Electrochemical impedance spectroscopy (EIS) results show that the conductivity of Ca2+ doped Na2.7Ca0.15Zr2Si2PO4 is significantly increased to 1.53×10−4 S cm−1, the electronic conductivity is 3.99×10−8 S cm−1, and the activation energy is 0.32 eV. Cyclic voltammetry testing demonstrated stable chemical properties below to 5 V. Na | Na2.7Ca0.15Zr2Si2PO4 | Na3V2(PO4)3 battery still maintains a high capacity retention rate of 98.76% after 200 cycles at 25oC-0.2C. It indicating that the new 0.15molCa-doped Na2.7Ca0.15Zr2Si2PO4 has the highest electrical conductivity, which provides a new research idea for sodium-ion solid-state batteries and has great potential in solid-state battery applications.

Synergistic effect of Fe/Zr dual doping endows hydrophilic spinel-structured H4Ti5O12 ion sieves for efficient lithium extraction from liquid resources

The practical application of spinel-structured H4Ti5O12(HTO) lithium-ion sieves (LISs) is hampered by their poor adsorption properties and recyclability. Within this research, the surface properties and internal structure of lithium-ion sieve (LIS) materials were modulated by co-doping Fe and Zr metal ions to enhance their adsorption properties. The results show that Fe and Zr have been successfully introduced to the LIS lattice, increasing Li-O bond length of position 8a and O2− content. The synthesized H4Ti4.77Fe0.2Zr0.03O12 (HTFZO-II) LIS was made up of evenly distributed nanosheets layered on top of one another to create an open laminar structure, which possesses a hydrophilic surface (contact angle: 17.8°), a high surface area (95.89 m2/g), and hierarchical porous structure. Compared with the undoped HTO, the HTFZO-II LISs enjoy a high capacity for Li+ adsorption (28.72 mg/g), a strong cycling stability (Ti4+ dissolving loss: 0.12 %), and a fast reaching of the equilibrium in adsorption (adsorption equilibrium: 4 h). Theoretical calculation of DFT shows that Li(H2O)4+ on HTFZO-II and HTO dehydration were partially dehydrated into Li(H2O)+. The energy required for the dehydration of Li(H2O)4+ on HTFZO-II is lower than that on undoped HTO, indicating that metal ion doping modification was beneficial for the dehydration of hydrated lithium ions on the adsorbent surface, thereby accelerating the exchange reaction between H+ and dehydrated Li+ ions. This study reveals the key role of the synergistic effect of multi-element co-doping in enhancing the adsorption performance and structural stability of LISs.

3D Confinement Stabilizes the Metastable Amorphous State of Antimony Nanoparticles - A New Material for Miniaturized Phase Change Memories?

The wet-chemical synthesis of 3D confined antimony nanoparticles (Sb-NP) at low and high temperatures is described. Using reaction conditions that are mild in temperature and strong in reducing power allows the synthesis of amorphous Sb-NP stabilized with organic ligands. Exchanging the organic ligand 1-octanethiol by iodide enabled to investigate the unusual strong stability of this metastable material through simultaneous thermal analysis combining differential scanning calorimetry and thermogravimetric analysis. Additionally, in situ high temperature powder x-ray diffraction (p-XRD) shows a significant increase in stabilization of the amorphous phase in comparison to thin layered, 1D confined Sb or bulk material. Further, it is shown with scattering-type scanning near-field optical microscopy (s-SNOM) experiments that the optical response of the different phases in Sb-NP make the distinctness of each phase possible. It is proposed that the Sb-NP introduced here can serve as a 3D-confined optically addressable nanomaterial of miniaturized phase change memory devices.

Poly-γ-glutamic acid chelates chromium (III) and copper (II), alleviating their toxicity in cucumber and affecting rhizosphere bacterial community assembly.

The accumulation of chromium (Cr) and copper (Cu) in soil during industrialization and modernization poses an extreme threat to crops. Poly-γ-glutamic acid (γ-PGA) has the potential to stabilize heavy metals in soil through chelation because of the numerous carboxyl groups in its side chain. The rhizosphere microbiome contributes to plant detoxification by participating in heavy metal passivation. However, it is still unclear whether γ-PGA can alleviate the toxicity of Cr and Cu to plants and whether this effect is associated with changes in the rhizosphere microbiome assembly. Here, we found that γ-PGA application significantly reduced the content of Cr or Cu in cucumber plants by 67.45%-86.77% and 94.67%-98.21, respectively, and alleviated the oxidative stress of Cr or Cu to plants. Moreover, γ-PGA significantly increased the biomass of cucumber fruits in the plot experiment by 13.5% and 25.3% under Cr and Cu stress, respectively. The content of Cr or Cu in the cucumber fruit was below limits of detection, in contrast to the 31.23 mg/kg Cr or 9.86 mg/kg Cu detected in the no-γ-PGA treatment. γ-PGA effectively chelated Cr and Cu in vitro, and less than 30% of their chelates were degraded in 20 weeks, suggesting the strong stability of these chelates. γ-PGA significantly altered the rhizosphere bacterial community composition of cucumber by enriching phyla Gemmatimonadota, Acidobacteriota and Firmicutes, and genera Gemmatimonas and Stenotrophomonas, which potentially involved in reducing the mobility of Cr and Cu in soils. Furthermore, γ-PGA significantly enriched taxa assigned to plant growth-promoting bacteria (PGPB). Together, our results suggest that γ-PGA can reduce the Cr and Cu contents in cucumber, and this process is strongly associated with the chelation capacity of γ-PGA and its effects on rhizosphere microbiome composition. These results highlight the exciting potential to use γ-PGA for the remediation of heavy metal-contaminated soils.

Optimized Design of Quinary High-Entropy Transition Metal Carbide Ceramics Based on First Principles

In this paper, we developed models for 21 quinary high-entropy transition metal carbide ceramics (HETMCCs), composed of carbon and the transition metals Ti, Zr, Mo, V, Nb, W, and Ta, employing the Special Quasirandom Structures (SQS) method. We investigated how the transition metal elements influence lattice distortion, mixing enthalpy, Gibbs free energy of mixing, and the electronic structure of the systems through first-principles calculations. The calculations show that 21 systems can form a stable single phase, among which (TiMoVNbTa)C5, (ZrMoNbWTa)C5, and (MoVNbWTa)C5 exhibit superior stability. The formation energy and migration energy of carbon vacancies in systems with strong single-phase stability were calculated to predict their radiation resistance. The formation energy of carbon vacancies is closely related to the types of surrounding transition metal elements, with values ranging between the maximum and minimum formation energies observed in binary transition metal carbides (TMCs). The range of migration energy for carbon vacancies is wider than that observed in TMCs, which can hinder their long-range migration and enhance the radiation resistance of the materials.

Ionic polymers as double-capture agents in an aptamer lateral flow assay strip for point-of-care detection of ethyl carbamate using peroxidase-like activity of bimetallic NiCo2O4 nanoparticles

A novel aptamer LFA (Apt-LFA) strip is first constructed for ethyl carbamate (EC) detection, in which cationic polyethyleneimine (PEI) and anionic polyacrylamide (APAM) are used as double-capture agents. The black NiCo2O4 nanoparticles (NCO NPs) encapsulated by EC1-34 aptamer are employed as recognition probes. The added EC will bind to EC1-34 aptamer on the probes, so that the test-line (T-line) immobilized with APAM can electrostatically capture the exposed NCO NPs. The control-line (C-line) sprayed with PEI can capture the excessive black recognition probes. The peroxidase-like activity of bimetallic NCO NPs is employed as signal amplification to improve the sensitivity of Apt-LFA strip. The naked eye discernible concentration of EC is 5 μg L−1 and the detection limit (LOD) is as low as 1.36 μg L−1. The Apt-LFA strip has the advantages of strong stability, simplicity and low cost, which provide a new method for EC detection and offer a new way for designing LFA.

Diet quality trajectories from infancy to age 18 and their association with diet quality at age 26

Abstract Background and objectives Dietary habits during childhood and adolescence show strong stability. However, no studies have investigated dietary trajectories from infancy to adulthood. We therefore aimed to 1) identify diet quality trajectories from age 1 to 18 years and 2) explore how trajectories are associated with diet quality at age 26 years. Methods The study included 620 individuals from the Special Turku Coronary Risk Factor Intervention Project (STRIP), started in infancy (n = 1062). Food and nutrient intake was assessed annually from age one to age 18, and again at age 26 using 4-day food records. A food-based diet score (range 0-33) was calculated to indicate diet quality. Group-based modelling was used to model trajectories of diet quality between the ages of 1 and 18 years. Linear regression analyses were used to investigate associations between the diet quality trajectory groups and diet quality at age 26 years. Results By the age of 18, we found five diet quality groups: 1) low (19% of participants) with a mean diet score of 12 points, 2) decreasing (25%) with a mean diet score of 15 points, 3) increasing (15%) with a mean diet score of 16 points, 4) intermediate (31%) with a mean diet score of 18 points, and 5) high (10%) with a mean diet score of 22 points. The diet quality trajectory groups were associated with 0.4 (decreasing), 2.5 (medium), 3.8 (increasing) and 4.1 (high) points higher diet scores at age 26 compared to the low diet quality trajectory group (p < 0.001 for all). Discussion Five distinct dietary trajectories were found from infancy to late adolescence, with a clear difference between the groups with the lowest and highest diet quality. However, the differences in diet quality levelled out by the age of 26 years. Our results suggest that diet quality established already in childhood moderately predicts diet quality into adulthood. Key messages • Diet quality established in childhood moderately predicts diet quality in young adulthood. • Five distinct dietary trajectories were found from infancy to late adolescence, with a clear difference between the groups with the lowest and highest diet quality.

Boosting ciprofloxacin and indigo carmine dye photodegradation using S-scheme plate-like BiOI@sulfated TiO2 heterojunctions: An understanding of the performance, the degradation route, and DFT computation

Sustainable BiOI/sulfated TiO2 nanocomposites were created for the present study utilizing the environmentally friendly dispersion-ultrasonication technique. Then, their ability to degrade the medication ciprofloxacin (CIP) and indigo carmine coloring (IC) in aquatic water was evaluated. The optimized catalyst 10%BiOI/ST, denoted as 10BOST together with 5BOST, is subjected to thorough characterization together with that of sulfate-free TiO2 (10BOT) to assess their physiochemical, morphological, textural, structural, and elemental composition properties. It is noteworthy that the 10BOST composite achieves remarkable degradation and performs exceptionally well in photocatalytic IC and CIP degradation. In 35 min, it degrades IC to 100%, with a rate constant of 0.066 min−1, which is superior to that of 10BOT (0.054 min−1) in the incidence of visible light and without an oxidizing agent. In CIP, 10BOST yields 85.6% degradation with a rate constant of 0.027 min−1 preceding 0.024 min−1 for 10BOT when potassium persulfate oxidizing agent is present. This exceptional performance is ascribed to the composite's diminished particle diameter, largest pore radius, hydrophilicity, improved light absorption, and the developed heterojunction between ST and BiOI, as demonstrated by XPS, TEM, XRD, EDX and IR data. The effect of sulfation concentration, pH, Ti3+/Ti4+ ratio, and pollutant concentration were studied together with the active species determinations, which revealed that active radicals like SO4•−, •OH, and h+ were well participated in the pollutant's decomposition. Testing for toxicity shows that during CIP breakdown, innocuous hazardous intermediates evolve with a notable 70% mineralization rate in their TOC. Furthermore, 10BOST showed strong stability and reusability. Using DFT simulations, profound insights into the principles underlying the adsorption sites of pollutants, their chemical reactivity, and the arrangement of their electrical charges, and how these factors affect the reaction mechanism on BOST photocatalysts.

Iodide Management and Oriented Crystallization Modulation for High-Performance All-Air Processed Perovskite Solar Cells.

Halide-related defects at the buried interface not only cause nonradiative recombination, but also seriously impair the long-term stability of perovskite solar cells (PSCs). Herein, a bottom-up, all-in-one modification strategy is proposed by introducing a multisite antioxidant ergothioneine (EGT) at the buried interface to manage iodide ions and manipulate crystallization dynamics. The findings demonstrate that EGT not only passivates uncoordinated Sn4+/Pb2+ defects, but also firmly anchors iodide ions and inhibits their oxidation to I2. Additionally, the modification by EGT enhances the oriented crystallization of perovskite, improves the carrier dynamics, and releases residual stresses. Consequently, the optimized all-air processed device (Rb0.02(FA0.95Cs0.05)0.98PbI2.91Br0.03Cl0.06) achieves a remarkable power conversion efficiency (PCE) of 25.13%, which is among the highest values reported for devices fabricated in air, along with ultrahigh open-circuit voltage (VOC) of 1.191V and fill factor (FF) of 84.9%. The optimized device without encapsulation exhibits strong humidity, thermal, and operational stability under ISOS protocol. Specifically, the initial efficiency of the device is retained at 90.12% after 1512 h of thermal ageing at 65°C and 90.14% after 930 h of continuous maximum power point tracking (MPPT) under simulated AM1.5 illumination.