Dynamic Process Research Articles

Ultrafast photoinduced charge carrier dynamics of L-cysteine and oleylamine stabilized CsPbBr3 perovskite quantum dots coupled with gold nanoparticles.

We have synthesized L-cysteine and oleylamine stabilized CsPbBr3 perovskite quantum dots (PQDs) and coupled them with gold nanoparticles (AuNPs). The PQDs and AuNPs, as well as their hybrid nanostructures (HNS), were characterized using UV-visible (UV-vis) and photoluminescence (PL) spectroscopy. The UV-vis spectra show absorption bands of the HNS at 503 and 520nm, attributed mainly to PQDs and AuNPs, respectively. The PQDs show a strong excitonic PL band peaked at 513nm from PQDs. The HR-TEM results show the formation of hybrid structures between PQDs and AuNPs, which is also supported by the PL quenching of the PQDs by the coupled AuNPs. Ultrafast dynamics of the exciton and charge carriers in the HNS and pristine PQD were studied using femtosecond transient absorption. Multiexponential fitting of the dynamic data revealed the existence of shallow and deep trap states in pristine PQDs and ultrafast electron transfer from PQDs to AuNPs in the HNS. A kinetic model was proposed to account for the key dynamic processes involved and to extract the time for electron transfer from PQDs to AuNPs in the HNS, found to be ∼2ps. Dynamic processes in pristine PQDs are largely unchanged by HNS formation with AuNPs.

Influence of core–shell intermetallic on dynamic recrystallization and processing maps of novel Al-Cu-Ni composite through Arrhenius and artificial neural network (ANN) models

Influence of core–shell intermetallic on dynamic recrystallization and processing maps of novel Al-Cu-Ni composite through Arrhenius and artificial neural network (ANN) models

One policy, two implementations: probing policy specifications in two EMI courses in a Macao university

ABSTRACT Despite growing literature on EMI policy implementation in higher education contexts, there is a lack of research on how these policies are enacted at the micro-level, particularly in the classroom settings. The present study explores the language beliefs and practices of a psychology professor in two English-medium instruction (EMI) courses which differed in course types and students’ preparedness, in an effort to understand how language policy was enacted in nuanced EMI settings. Drawing on semi-structured interviews, classroom observation, and course artifacts, the study reveals that the non-native English speaking participant held a consistent belief in enforcing a strict English-only policy within the classroom, yet she managed students’ and her own language practices slightly differently (e.g. speak time, pace, vocabulary, L1 proportion) based on specific course objectives. The findings highlight the importance of consistent and mindful language policies that allow for flexible implementation where unique features of individual EMI contexts are accommodated. Through highlighting the agency of EMI teachers as language policy arbiters, we reimagined the original ROAD-MAPPING framework [Dafouz, E., & Smit, U. (2016). Toward a dynamic conceptual framework for English-medium education in multilingual university settings. Applied Linguistics, 37(3), 397–415] to capture the granular and dynamic process of EMI policy enactment and implementation in authentic classrooms. Practical implications are drawn accordingly.

Fine-Scale Eddies Detected by SWOT in the Kuroshio Extension

Conventional altimetry has greatly advanced our understanding of mesoscale eddies but falls short in studying fine-scale eddies (<150 km). The newly launched Surface Water and Ocean Topography (SWOT) altimeter, however, with its unprecedented high-resolution capabilities, offers new opportunities to observe these fine-scale eddies. In this study, we use SWOT data to explore these previously elusive fine-scale eddies in the Kuroshio Extension. During SWOT’s fast sampling phase from 29 May 2023 to 10 July 2023, we identified an average of 4.5 fine-scale eddies within each 120 km wide swath. Cyclonic eddies, which are slightly more frequent than the anticyclonic ones (ratio of 1.16), have a similar mean radius of 23.4 km. However, cyclonic eddies exhibit higher amplitudes, averaging 3.5 cm compared to 2.8 cm for anticyclonic eddies. In contrast to the mesoscale eddies detected by conventional altimeters, the fine-scale eddies revealed by SWOT are characterized by smaller sizes and weaker amplitudes. This study offers a preliminary view of fine-scale eddy characteristics from space, highlighting SWOT’s potential to advance our understanding of these dynamic processes. Nonetheless, it also emphasizes the necessity for comprehensive analysis to fully exploit the satellite’s capabilities in monitoring and interpreting complex eddy behaviors.

Quantitative characterization of granite failure intensity under dynamic disturbance from energy standpoint

Abstract Quantitative evaluation of rock dynamic disaster intensity is a challenging and difficult task in the field of earth science. In this article, the dynamic compression tests of granite under different impact velocities are carried out, and the energy evolution characteristics of the dynamic failure process of granite are analyzed. The dynamic fracture characteristics of granite were studied by using computed tomography and section scanning equipment. The results show that the energy dissipation and energy accumulation mechanism of granite under dynamic loading are fundamentally changed with the increase of impact disturbance strength, which leads to the transformation of the failure mode from the tension-type sheet crack under low-speed impact to the complex network crack coupled by tension and shear under high-speed impact. At the same time, the greater the impact velocity, the larger the macroscopic crack density, the more uneven the particle distribution on the fracture section, the greater the roughness, and the higher the rock mass fracture degree. In accordance with the results, the energy distribution ratio is proposed to quantitatively characterize the coupling effect of energy dissipation and energy accumulation in the dynamic failure process of granite and to reflect its dynamic failure intensity. The higher the energy distribution ratio, the stronger the energy coupling effect and the more intense the dynamic failure of the rock mass.

Highly inhomogeneous interactions between background climate and urban warming across typical local climate zones in heatwave and non-heatwave days

Abstract Urban heat island (UHI) in conjunction with heatwave (HW) leads to exacerbation of thermal stress in urban areas. Prior research on UHI and HW has predominantly concentrated on examining the thermal conditions at the surface and near-surface, with few investigations extending to the radiative and dynamical interactions of UHI and HW, particularly with a focus on the inhomogeneities across local climate zones (LCZs). Here, we analyse the temperature disparity between HW and non-HW conditions across LCZs in the Sydney area by quantifying the contributions of individual radiative and dynamical processes using the coupled surface-atmosphere climate feedback-response analysis method (CFRAM). Three moist HW events in 2017, 2019, and 2020 are simulated using the Weather Research and Forecasting (WRF) model coupled with the Single-Layer Urban Canopy Model (SLUCM). It is found that the maximum surface and 900-hPa temperature difference between HW and non-HW days may reach up to 10 K, with the increased net solar radiation during HWs being comparable to the typical level of anthropogenic heat flux in urban areas. It is also found that the reduction of clouds, the presence of vapor, and the increase of sensible heat contribute to the warming effect to various degrees, with the contribution of clouds being the most dominant. Conversely, the generation of dry convection and the increase of latent heat flux lead to cooling effects, with the latter being more dominant and capable of causing up to 10 K surface temperature difference between LCZ1 (compact high-rise) and LCZ9 (sparsely built). The differences in the contributions of climate feedback processes across different LCZs become more evident during more severe and humid HWs. These findings underscore the necessity of implementing local climate zone-tailored heat mitigation strategies.

Professional Competencies of English Language Teachers: A Literature Review

Professional competence is a dynamic process that improves working quality resulting in a teacher's professional development and self-improvement. Teachers' beliefs, best practices, and a supportive work environment are all essential factors in the development of professional competence during the span of a teacher's profession. Likely, teachers' notions of what teaching is and how it should be successfully done have an impact on the way they teach and learn. To be competent in their field, instructors must appreciate the value of reliable and well-maintained facilities, continuous training, workshops, appropriate learning environments, independent use of learning materials, and successful teaching methods. This entails mastering teaching and learning processes, resources, and educational technologies. Professional competence in education also involves the ability to motivate students, as well as high levels of talent and knowledge of the educational environment. This study based on a review of the literature aims to examine the professional competence of instructors and to improve teaching and learning methods in the classroom. The findings paint the picture of teacher professional development in the education environment for effective teaching and learning.

The water contribution of the glacier and the dynamics of glaciological-hydrological processes in the basin. Yanamarey, Cordillera Blanca, Perú case

La cuenca con presencia glaciar en los Andes Tropicales presenta continuo derretimiento, como efecto del cambio climático, influenciando en la generación de escorrentía y en los procesos hidrológicos. El estudio se realizó entre los años 2013 y 2020 en la microcuenca Yanamarey (Cordillera Blanca, Perú), utilizando las imágenes de satélite y modelización hidro-glaciológica, aplicando los modelos semi-distribuidos GSM y SOCONT, para estimar procesos glaciológicos e hidrológicos distribuidos por bandas de altitud. En este periodo, en el glaciar se determinaron en promedio 0.27 km2 de superficie y 1.66 hm3 de volumen; la contribución hídrica promedio en la microcuenca es 93 l/s, distribuidos el 8% de hielo, un 15% de nieve, un 27% del subterráneo y un 50% de precipitación (directa). Además, los caudales de hielo y nieve presentan una tendencia negativa anual de 0.5 l/año y 0.7 l/año, respectivamente. Produciendo al final de 7 años en: a) proceso glaciológico, la fusión de hielo de 14 m debajo de la altitud 4 800 msnm, la acumulación de nieve de 12.7 m encima de la altitud de 5 000 msnm, b) proceso hidrológico (zona no glaciar), en suelo limpio, el agua acumulada se infiltra de 118 m (0.19 cm/h) y agua superficial acumulada de 34 m (0.06 cm/h). Los valores estimados de la contribución hídrica y la variación de disponibilidad anual de la masa glaciar por altitudes nos dan una idea de los procesos hídricos que ocurren en cabecera de cuenca y de la importancia de sus efectos para la vida útil de los glaciares.

Dynamic response characteristics of optical beam deflection in liquid crystal optical phased array

The beam deflector based on liquid crystal optical phased array (LCOPA) is a crucial component of space laser communication systems. Understanding and mastering the beam deflection characteristics under the dynamic response of LCOPA is essential for achieving real-time acquisition and tracking in space laser communication. This paper thoroughly explores the beam deflection characteristics during the dynamic response process by analyzing the dynamic response and far-field diffraction models of LCOPA. It presents the far-field diffraction patterns under the dynamic response of LCOPA and validates the analysis through experiments. This study not only enhances the understanding of the dynamic performance of LCOPA but also provides a theoretical basis for its control in space laser communication systems.

The Transcriptome Characterization of the Hypothalamus and the Identification of Key Genes during Sexual Maturation in Goats

Sexual maturation in goats is a dynamic process regulated precisely by the hypothalamic–pituitary–gonadal axis and is essential for reproduction. The hypothalamus plays a crucial role in this process and is the control center of the reproductive activity. It is significant to study the molecular mechanisms in the hypothalamus regulating sexual maturation in goats. We analyzed the serum hormone profiles and hypothalamic mRNA expression profiles of female goats during sexual development (1 day old (neonatal, D1, n = 5), 2 months old (prepuberty, M2, n = 5), 4 months old (sexual maturity, M4, n = 5), and 6 months old (breeding period, M6, n = 5)). The results indicated that from D1 to M6, serum hormone levels, including FSH, LH, progesterone, estradiol, IGF1, and leptin, exhibited an initial increase followed by a decline, peaking at M4. Furthermore, we identified a total of 508 differentially expressed genes in the hypothalamus, with a total of four distinct expression patterns. Nuclear receptor subfamily 1, group D, member 1 (NR1D1), glucagon-like peptide 1 receptor (GLP1R), and gonadotropin-releasing hormone 1 (GnRH-1) may contribute to hormone secretion, energy metabolism, and signal transduction during goat sexual maturation via circadian rhythm regulation, ECM receptor interactions, neuroactive ligand–receptor interactions, and Wnt signaling pathways. This investigation offers novel insights into the molecular mechanisms governing the hypothalamic regulation of goat sexual maturation.

Identification of the tumor metastasis-related tumor subgroups overexpressed NENF in triple-negative breast cancer by single-cell transcriptomics

Tumor metastasis is a continuous and dynamic process and is a major cause of tumor-related death in triple-negative breast cancer. However, this biological process remains largely unknown in triple-negative breast cancer. The emergence of single-cell sequencing enables a deeper understanding of the tumor microenvironment and provides a new strategy for discovering the potential mechanism of tumor metastasis. Herein, we integrated the single-cell expression profiling of primary and metastatic triple-negative breast cancer by Seurat package. Nine tumor cell subgroups were identified. Enrichment analysis suggested tumor subgroups (C0, C4) were associated with tumor metastasis with poor prognosis in TNBC. Weighted gene co-expression network was constructed and identified NENF was a metastasis-related gene. Subsequently, RT-qPCR, Immunohistochemistry, and western blot confirmed NENF is highly expressed in TNBC tissues. And cell function assays indicated NENF promote cell invasion and migration through regulating EMT in TNBC. Finally, TIDE and Connectivity Map database suggest the candidate drugs for targeting NENF. In conclusion, our findings provide a new insight into the progression and metastasis of TNBC and uncover NENF may be a prognostic biomarker and potential therapy targets.

Insight into the nitrogen-vacancy center formation in type-Ib diamond by irradiation and annealing approach

Abstract Comprehending the microscopic formation of nitrogen vacancy (NV) centers in nitrogen-doped diamonds is crucial for enhancing the controllable preparation of NV centers and quantum applications. Irradiation followed by annealing simulations for a type-Ib diamond with a 900 ppm concentration of isolated nitrogen is conducted along different orientations and at different annealing temperatures. In these simulations, molecular dynamics (MD) with smoothly connected potential functions are implemented. MD simulations revealed the dynamic formation process of the NV center, which was subsequently verified by first-principles calculations and experiments. The results indicate that vacancies undergo one or multiple migrations by exchanging sites with neighboring atoms. There are three mechanisms for the formation of NV centers: direct irradiation-induced NV formation, irradiation with further annealing to form NV and vacancy migration (VM) during the annealing process. Furthermore, the results show that both VM and NV center formations are affected by orientations. This study clarifies the formation of NV centers across multiple scales and provides a solid foundation for the targeted preparation of NV centers.

Hybrid modeling for in silico optimization of a dynamic perfusion cell culture process.

The bio-pharmaceutical industry heavily relies on mammalian cells for the production of bio-therapeutic proteins. The complexity of implementing and high cost-of-goods of these processes are currently limiting more widespread patient access. This is driving efforts to enhance cell culture productivity and cost reduction. Upstream process intensification (PI), using perfusion approaches in the seed train and/or the main bioreactor, has shown substantial promise to enhance productivity. However, developing optimal process conditions for perfusion-based processes remain challenging due to resource and time constraints. Model-based optimization offers a solution by systematically screening process parameters like temperature, pH, and culture media to find the optimum conditions in silico. To our knowledge, this is the first experimentally validated model to explain the perfusion dynamics under different operating conditions and scales for process optimization. The hybrid model accurately describes Chinese hamster ovary (CHO) cell culture growth dynamics and a neural network model explains the production of mAb, allowing for optimization of media exchange rates. Results from six perfusion runs in Ambr® 250 demonstrated high accuracy, confirming the model's utility. Further, the implementation of dynamic media exchange rate schedule determined through model-based optimization resulted in 50% increase in volumetric productivity. Additionally, two 5 L-scale experiments validated the model's reliable extrapolation capabilities to large bioreactors. This approach could reduce the number of wet lab experiments needed for culture process optimization, offering a promising avenue for improving productivity, cost-of-goods in bio-pharmaceutical manufacturing, in turn improving patient access to pivotal medicine.

Molecular Design Engineering Regulates the Ground-State Passivation Ability of Benzophenone Derivatives in Perovskite Solar Cells.

Intramolecular hydrogen bonding (H-bonding) involved in the excited-state proton transfer (ESPT) process results in benzophenone derivatives (BPDs) with an excellent ability to passivate defects. However, the BPDs are in a continuing dynamic transition process between the ground state and the excited state under light radiation conditions. The ground-state BPDs may lose their ability to passivate defects, resulting in an increased defect density of the perovskite. Therefore, enhancing the passivation ability of the ground-state BPDs can help to achieve the full passivation ability of their ground state to excited state. Herein, we have researched the various BPDs by density functional theory and found that intramolecular H-bonding can weaken the passivation ability of ground-state BPDs, but intramolecular H-bonding is indispensable in the ESPT process. To address the issue, we investigated the influence of electron-donor properties and dipole moments of hydroxyl (-OH), methoxy (-OCH3), and n-octyloxy (-OC8H17) groups in BPD molecules on their coordination capacity through molecular design engineering. Ultimately, 2-hydroxy-4-n-octyloxy-benzophenone (UV5) with strong electron-donor n-octyloxy (-OC8H17) and elongated carbon-chain structure was selected as an additive, which enhances the passivate defect capability in both the ground and excited states. As a result, the UV5-based champion device achieved a power conversion efficiency (PCE) of 24.46% and remained at 75% of the initial PCE with exposure to UV light. This work focuses on the defect passivation capability of ground-state BPDs for the first time and opens a new concept for applying BPDs in PSCs.

Controlling the Size of Molecular Copper Clusters Supported by a Multinucleating Macrocycle.

The use of a nonrigid, pyridyldialdimine-derived macrocyclic ligand (3PDAI2) enabled the synthesis of well-defined mono-, di-, tri-, and tetra-nuclear Cu(I) complexes in good yields through rational synthetic means. Starting from mono- and diargentous 3PDAI2 complexes, transmetalation to Cu(I) proceeded smoothly with formation of AgX (X = Cl, I) salts to generate mono-, di-, and trinuclear copper complexes. Monodentate supporting ligands (MeCN, xylNC, PMe3, PPh3) were found to either transmetallate with or bind various di- and trinuclear clusters. The solution-phase dynamic behaviors of these species were studied through NMR spectroscopic investigations, and an in-depth study of the trinuclear systems revealed a rate dependence on the identity of the supporting ligand, indicating that ligand dissociation reactions were involved in the dynamic exchange processes. Synthetic investigations further found methods for the purposeful interconversion between the di- and trinuclear systems as well as the synthesis of a pseudotetrahedral tetracopper complex with two μ-Ph supporting ligands.

Transient hypoxia drives soil microbial community dynamics and biogeochemistry during human decomposition.

Human decomposition in terrestrial ecosystems is a dynamic process creating localized hot spots of soil microbial activity. Longer-term (beyond a few months) impacts on decomposer microbial communities are poorly characterized and do not typically connect microbial communities to biogeochemistry, limiting our understanding of decomposer communities and their functions. We performed separate year-long human decomposition trials, one starting in spring, another in winter, integrating bacterial and fungal community structure and abundances with soil physicochemistry and biogeochemistry to identify key drivers of microbial community change. In both trials soil acidification, elevated microbial respiration, and reduced soil oxygen concentrations occurred. Changes in soil oxygen concentrations were the primary driver of microbial succession and nitrogen transformation patterns, while fungal community diversity and abundance was related to soil pH. Relative abundance of facultative anaerobic taxa (Firmicutes and Saccharomycetes) increased during the period of reduced soil oxygen. The magnitude and timing of the decomposition responses was amplified during the spring trial relative to the winter, even when corrected for thermal inputs (accumulated degree days). Further, soil chemical parameters, microbial community structure, and fungal gene abundances remained altered at the end of one year, suggesting longer-term impacts on soil ecosystems beyond the initial pulse of decomposition products.

Women on China’s Internet: Consumption, contestation, and challenges for empowerment

This essay critically examines the evolving relationship between women and the Internet in China, incorporating a multidimensional theoretical framework to explore the nuances of digital access, usage, and empowerment over the past 30 years. While noting a significant reduction in the gender gap in Internet access, the essay highlights persistent gender disparities in usage and outcomes, influenced by socio-economic and cultural factors. It also challenges simplistic binaries by considering the complex interplay of empowerment narratives and structural constraints within the digital sphere. The essay advocates for a reevaluation of theoretical models to better understand the dynamic process of gender equality in cyberspace, emphasizing the need for ongoing research into the intersection of gender, technology, and power in China.

Heavy flavor production under a strong magnetic field

The magnetic field created in high energy nuclear collisions will affect the QCD dynamical processes, such as the heavy quark production which happens in the initial stage of the collisions. We calculate in a strong magnetic field the heavy quark production cross section of the process gg→QQ¯\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$ gg\ o Q\\overline{Q} $$\\end{document} at leading order and the corresponding transverse momentum distribution in nucleus-nucleus collisions. In comparison to the QED process, the heavy quark production is dominated by the unique QCD channel with gluon self-interaction. Due to the dimension reduction of quark phase space in a strong magnetic field, the production is concentrated in a very narrow energy region above the threshold. Since the rotational invariance is broken in a magnetic field, the production becomes anisotropic.

Covalent Probes To Capture Legionella pneumophila Dup Effector Enzymes.

Upon infection of host cells, Legionella pneumophila releases a multitude of effector enzymes into the cell's cytoplasm that hijack a plethora of cellular activities, including the host ubiquitination pathways. Effectors belonging to the SidE-family are involved in noncanonical serine phosphoribosyl ubiquitination of host substrate proteins contributing to the formation of a Legionella-containing vacuole that is crucial in the onset of Legionnaires' disease. This dynamic process is reversed by effectors called Dups that hydrolyze the phosphodiester in the phosphoribosyl ubiquitinated protein. We installed reactive warheads on chemically prepared ribosylated ubiquitin to generate a set of probes targeting these Legionella enzymes. In vitro tests on recombinant DupA revealed that a vinyl sulfonate warhead was most efficient in covalent complex formation. Mutagenesis and X-ray crystallography approaches were used to identify the site of covalent cross-linking to be an allosteric cysteine residue. The subsequent application of this probe highlights the potential to selectively enrich the Dup enzymes from Legionella-infected cell lysates.

Simulation-Guided Preparation of Copper Chalcogenide Nanoparticle-Based Transparent Photothermal Coating with Enhanced Deicing Performance.

In this investigation, transparent photothermal coatings utilizing plasmonic copper chalcogenide (Cu2-xS) nanoparticles were designed and fabricated for the deicing of glass surfaces. Cu2-xS nanoparticles, chosen for their high near-infrared (NIR) absorption and efficient photothermal conversion, were analyzed via finite difference time domain (FDTD) simulations to optimize nanoparticle morphology, thus avoiding costly trial-and-error synthesis. FDTD simulations determined that Cu2-xS nanorods (Cu-NRs) with an optimal aspect ratio of 2.2 had superior NIR absorption. Guided by FDTD simulations, the composite coating composed of Cu-NRs in clear acrylic resin paint was brush-coated to glass, achieving 62.4% visual transmittance and over 95% NIR absorbance. Photothermal conversion tests exhibited a significant temperature increase, with the coating reaching 65 °C under NIR irradiation within 6 min. The dynamic deicing process of ice beads on the coating at -20 °C completed within 220s, in contrast to the frozen state on glass coated with clear acrylic resin paint. Furthermore, heat transfer simulations in COMSOL illustrated melting initiation at the ice-coating interface and subsequent progression through the ice layer. This simulation-driven synthesis method and photothermal testing offer a design framework for the fabrication of photothermal deicing coatings with applications for automobiles, buildings, and aircraft in cold environments.