2,5-Dihydroxyterephthalic Acid: A Matrix for Improved Detection and Imaging of Amino Acids.

Amino acids (AAs), which are low-molecular-weight (low-MW) metabolites, serve as essential building blocks not only for protein synthesis but also for maintaining the nitrogen balance in living systems. In situ detection and imaging of AAs are crucial for understanding more complex biological processes. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is a label-free mass spectrometric imaging technique that enables the simultaneous detection and imaging of the spatial distribution and relative abundance of different endogenous/exogenous compounds in biological samples. The excellent efficiency of MALDI-MSI is attributed to the choice of the MALDI matrix. However, to the best of our knowledge, no matrix has been specifically developed for AAs. Herein, we report a MALDI matrix, 2,5-dihydroxyterephthalic acid (DHT), which can improve the detection and imaging of AAs in biological samples by MALDI-MS. Our results indicated that DHT exhibited strong ultraviolet-visible (UV-vis) absorption, uniform matrix deposition, and high vacuum stability. Moreover, the matrix-related ion signals produced from DHT were reduced by 50 and 71.8% at m/z < 500 compared to the commonly used matrices of 2,5-dihydroxybenzoic acid (DHB) and α-cyano-4-hydroxycinnamic acid (CHCA), respectively, in their respective organic solvents. In terms of quantitative performance, arginine, glutamic acid, glutamine, and proline can be detected with limits of detection of 6, 4, 6, and 4 ng/mL, respectively, using the DHT as the matrix. Using DHT as the matrix, all 20 protein AAs were successfully detected in human serum by MALDI-MS, whereas only 7 and 10 AAs were detected when DHB and CHCA matrices were used, respectively. Furthermore, 20 protein AAs and taurine were successfully detected and imaged in a section of edible Crassostrea gigas (oyster) tissue for the first time. Our study demonstrates that using DHT as a matrix can improve the detection and imaging of AAs in biological samples by MALDI-MS.

Evaluation of Rectal Cancer Circumferential Resection Margin Using Faster Region-Based Convolutional Neural Network in High-Resolution Magnetic Resonance Images.

BACKGROUND: High-resolution MRI is regarded as the best method to evaluate whether there is an involved circumferential resection margin in rectal cancer. OBJECTIVE: We explored the application of the faster region-based convolutional neural network to identify positive circumferential resection margins in high-resolution MRI images. DESIGN: This was a retrospective study. SETTINGS: The study conducted at a single surgical unit of a public university hospital. PATIENTS: We studied 240 patients with rectal cancer in the Affiliated Hospital of Qingdao University from July 2016 to August 2018, who were determined to have a positive circumferential resection margin and who had received a high-resolution MRI. All posttreatment cases were excluded from this study. MAIN OUTCOME MEASURES: The faster region-based convolutional neural network was trained by 12,258 transverse relaxation-weighted (T2-weighted imaging) images of pelvic high-resolution MRI to build an artificial intelligence platform and complete clinical tests. In this network, the proportion of positive and negative circumferential resection margin images was 1:2. In accordance with the test results of the validation group, the metrics of the receiver operating characteristic curves and the area under the curve were applied to compare the diagnostic results of the artificial intelligence platform with those of senior radiology experts. RESULTS: In this artificial intelligence platform, the accuracy, sensitivity, and specificity of the circumferential resection margin status as determined were 0.932, 0.838, and 0.956. The area under the receiver operating characteristic curves was 0.953. The time required to automatically recognize an image was 0.2 seconds. LIMITATIONS: This is a single-center retrospective study with limited data volume and a highly selected patient cohort. CONCLUSIONS: In high-resolution MRI images of rectal cancer before treatment, the application of faster region-based convolutional neural network to segment the positive circumferential resection margin has high accuracy and feasibility. See Video Abstract at http://links.lww.com/DCR/B88. EVALUACIÓN DEL MARGEN DE RESECCIÓN CIRCUNFERENCIAL DEL CÁNCER RECTAL MEDIANTE EL USO DE UNA RED NEURONAL CONVOLUCIONAL MÁS RÁPIDA BASADA EN UNA REGIÓN EN IMÁGENES DE RESONANCIA MAGNÉTICA DE ALTA RESOLUCIÓN: La resonancia magnética de alta resolución se considera el mejor método para evaluar si existe un margen de resección circunferencial involucrado en el cáncer de recto.Se exploró la aplicación de la red neuronal convolucional más rápida basada en una región para identificar márgenes de resección circunferencial positivos en imágenes de resonancia magnética de alta resolución.Este fue un estudio retrospectivo realizado en una única unidad quirúrgica de un hospital universitario público.Estudiamos 240 pacientes con cáncer rectal en el Hospital Afiliado de la Universidad de Qingdao desde el 2 de julio de 2006 hasta el 2 de agosto de 2008, a los que se determinó que tenían un margen de resección circunferencial positivo y que habían recibido una resonancia magnética de alta resolución. Todos los casos posteriores al tratamiento fueron excluidos de este estudio.La red neuronal convolucional más rápida basada en una región recibió capacitación de 12,258 imágenes de RM pélvica de alta resolución con relajación transversal para construir una plataforma de inteligencia artificial y completar pruebas clínicas. En esta red, la proporción de imágenes con margen de resección circunferencial positivo y negativo fue 1: 2. De acuerdo con los resultados de las pruebas del grupo de validación, se aplicaron las métricas de las curvas de las características operativas del receptor y del área bajo la curva para comparar los resultados de diagnóstico de la plataforma de inteligencia artificial con los de expertos de radiología de alto nivel.En esta plataforma de inteligencia artificial, la precisión, sensibilidad y especificidad del estado del margen de resección circunferencial según lo determinado fueron 0.932, 0.838 y 0.956, respectivamente. El área bajo las curvas características de operación del receptor fue de 0.953. El tiempo requerido para reconocer automáticamente una imagen fue de 0.2 segundos.Este es un estudio retrospectivo de centro único con volumen de datos limitado y una cohorte de pacientes altamente seleccionada.En las imágenes de resonancia magnética de alta resolución de cáncer rectal antes del tratamiento, la aplicación de la red neuronal convolucional más rápida basada en una región, para segmentar el margen de resección circunferencial positivo tiene una alta precisión y factibilidad. Consulte Video Resumen en http://links.lww.com/DCR/B88.

NMR solution structure of the integral membrane enzyme DsbB: functional insights into DsbB-catalyzed disulfide bond formation.

We describe the NMR structure of DsbB, a polytopic helical membrane protein. DsbB, a bacterial cytoplasmic membrane protein, plays a key role in disulfide bond formation. It reoxidizes DsbA, the periplasmic protein disulfide oxidant, using the oxidizing power of membrane-embedded quinones. We determined the structure of an interloop disulfide bond form of DsbB, an intermediate in catalysis. Analysis of the structure and interactions with substrates DsbA and quinone reveals functionally relevant changes induced by these substrates. Analysis of the structure, dynamics measurements, and NMR chemical shifts around the interloop disulfide bond suggest how electron movement from DsbA to quinone through DsbB is regulated and facilitated. Our results demonstrate the extraordinary utility of NMR for functional characterization of polytopic integral membrane proteins and provide insights into the mechanism of DsbB catalysis.

Enhancing tomato fruit antioxidant potential through hydrogen nanobubble irrigation.

Eating fruits and vegetables loaded with natural antioxidants can boost human health considerably and help fight off diseases linked to oxidative stress. Hydrogen has unique antioxidant effects. However, its low-solubility and fast-diffusion has limited its applications in agriculture. Integration of hydrogen with nanobubble technology could address such problems. However, the physiological adaptation and response mechanism of crops to hydrogen nanobubbles is still poorly understood. Antioxidant concentrations of lycopene, ascorbic acid, flavonoids, and resveratrol in hydrogen nanobubble water drip-irrigated tomato fruits increased by 16.3-264.8% and 2.2-19.8%, respectively, compared to underground water and oxygen nanobubble water. Transcriptomic and metabolomic analyses were combined to investigate the regulatory mechanisms that differed from the controls. Comprehensive multi-omics analysis revealed differences in the abundances of genes responsible for hormonal control, hydrogenase genes, and necessary synthetic metabolites of antioxidants, which helped to clarify the observed improvements in antioxidants. This is the first case of hydrogen nanobubble water irrigation increasing numerous natural antioxidant parts in fruits. Considering the characteristics of hydrogen and the application of the nanobubble technology in agriculture, the findings of the present study could facilitate the understanding of the potential effects of hydrogen on biological processes and the mechanisms of action on plant growth and development.

Porphyrin-based covalent organic frameworks as doxorubicin delivery system for chemo-photodynamic synergistic therapy of tumors.

Photodynamic therapy (PDT) is a non-invasive treatment method that has garnered significant attention in recent years. Nanoparticle-based drug delivery systems can achieve targeted drug release, thereby significantly reducing side effects and enhancing therapeutic efficacy. In this study, a covalent organic framework (COF) with an approximately spherical structure connected by azo bonds was synthesized. The synthesized COF was utilized as a hypoxia-responsive carrier for doxorubicin (DOX) drug delivery and was modified with hyaluronic acid (HA). DOX@COF@HA exhibited a reactive release under hypoxic conditions. Under normal oxygen conditions, the release of DOX was 16.9 %, increasing to 60.2 % with the addition of sodium hydrosulfite. In vitro experiments revealed that the group combining photodynamic therapy with chemotherapy exhibited the lowest survival rates for 4T1 and MHCC97-L cells. In vivo experiments further validated the effectiveness of combination therapy, resulting in a tumor volume of only 33 mm3 after treatment, with no significant change in mouse weight during the treatment period. DOX@COF@HA nanoplatforms exhibit substantial potential in tumor treatment.

Advances in the Pathogenesis of Metabolic Liver Disease-Related Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is the sixth most common cancer globally and the primary cause of death in cancer cases, with significant public health concern worldwide. Despite the overall decline in the incidence and mortality rates of HCC in recent years in recent years, the emergence of metabolic liver disease-related HCC is causing heightened concern, especially in countries like the United States, the United Kingdom, and P.R. China. The escalation of metabolic liver disease-related HCC is attributed to a combination of factors, including genetic predisposition, lifestyle choices, and changes in the living environment. However, the pathogenesis of metabolic liver disease-associated HCC remains imperfect. In this review, we encapsulate the latest advances and essential aspects of the pathogenesis of metabolic liver disease-associated HCC, including alcoholic liver disease (ALD), metabolic dysfunction-associated steatotic liver disease (MASLD), and inherited metabolic liver diseases.

Combination of magnetic field and ultraviolet for fouling control in saline wastewater distribution systems.

Fouling is a significant challenge for recycling and reusing saline wastewaters for industrial, agricultural or municipal applications. In this study, we propose a novel approach of magnetic field (MaF) and ultraviolet (UV) combined application for fouling mitigation. Results showed, combination of MaF and UV (MaF-UV) significantly decreased the content of biofouling and reduced the complexity of microbial networks, compared to UV and MaF alone treatments. This was due to MaF as pretreatment effectively reduced the water turbidity, improve the influent water quality of UV disinfection and increases UV transmittance, eliminating the adverse impacts of UV scattering and shielding, hence increased the inactivation effectiveness of UV disinfection process. MaF assisted UV also reduced the abundance of UV-resistant bacteria and inhibited the risk of bacterial photoreactivation and dark repair. Meanwhile, MaF-UV drastically reduced the contents of precipitates and particulate fouling by accelerating the transformation rate of CaCO3 crystal from compact calcite to loosen hydrated amorphous CaCO3, and enhancing the flocculation process. These findings demonstrated that MaF-UV is an effective anti-fouling strategy, and provide insights for sustainable application of saline wastewaters.

Efficient algorithms for survival data with multiple outcomes using the frailty model.

Survival data with multiple outcomes are frequently encountered in biomedical investigations. An illustrative example comes from Alzheimer's Disease Neuroimaging Initiative study where the cognitively normal subjects may clinically progress to mild cognitive impairment and/or Alzheimer's disease dementia. Transition time from normal cognition to mild cognitive impairment and that from mild cognitive impairment to Alzheimer's disease are expected to be correlated within subjects and the dependence is often accommodated by the frailty (random effects). Estimation in the frailty model unavoidably involves multiple integrations which may be intractable and hence leads to severe computational challenges, especially in the presence of high-dimensional covariates. In this paper, we propose efficient minorization-maximization algorithms in the frailty model for survival data with multiple outcomes. The alternating direction method of multipliers is further incorporated for simultaneous variable selection and homogeneity pursuit via regularization and fusion. Extensive simulation studies are conducted to assess the performance of the proposed algorithms. An application to the Alzheimer's Disease Neuroimaging Initiative data is also provided to illustrate their practical utilities.

Gradient Strain-Induced Room-Temperature Ferroelectricity in Magnetic Double-Perovskite Superlattices.

Single-phase multiferroics suffer from a fundamental contradiction between polarity and magnetism in d0 electronic configuration, motivating studies of unconventional ferroelectricity in magnetic oxides. However, low critical temperature and polarization still need to be overcome. Here, it is reported that the switchable polarization behavior at room temperature in [(La2 NiMnO6 )/(La2 CoMnO6 )]n double-perovskite magnetic superlattice films is achieved by engineering a microstructure with gradient strains, and the ferromagnetic Curie temperature did not show a rapid decrease. The synergy of gradient strains and superlattice components plays a decisive role in inducing ferroelectricity via the tilting or rotation of various oxygen octahedra. Such distortion responses to gradient strains are accompanied by slight magnetic fluctuations, maximizing the preservation of the initial magnetic exchange interactions, which alleviates the contradiction of multiferroic coexistence to a certain extent. This work confirms the room-temperature ferroelectricity in double-perovskite superlattices and provides a preferred strategy for confronting the difficulty of multiferroic coexistence in single-phase materials.

Long-term nitrogen fertilization-induced enhancements of acid hydrolyzable nitrogen are mainly regulated by the most vital microbial taxa of keystone species and enzyme activities.

It is well known that nitrogen (N) fertilizer input is required to improve crop productivity, but we lack a comprehensive understanding of how elevated N input changes the formation of soil acid hydrolyzable nitrogen (AHN) by adjusting the most vital microbial taxa of keystone species of microbial communities and enzyme activities. A 15-year field experiment comprising four levels of inorganic N fertilization was conducted to identify the most important bacterial and fungal taxa of the keystone species derived from cooccurrence networks as well as the vital enzyme activities at the bell mouth and maturity stages. Long-term N fertilization significantly increased the levels of AHN along with its four fractions, including amino acid N (AAN), ammonium N (AN), amino sugar N (ASN), and hydrolysable unidentified N (HUN), by 30.1-118.6 %, regardless of growth stage. Some most vital microbial taxa of keystone species and enzyme activities, which changed in response to N fertilization, mainly regulated each ANH fraction, that is, AHN and AN were mainly controlled by the enrichment of Nocardioides and ß-1,4-N-acetyl-glucosaminidase (NAG), as well as by the reduction of Anaerolinea and urease (UR), AAN was determined by the enrichment of Hannaella and depletion of Penicillium, ASN was regulated by the enrichment of Hannaella and Arthrobacter, and HUN was influenced by the reduction of Penicillium and enrichment of Nitrosospira. These microbial genera have been found to be involved in dissimilatory nitrate reduction to ammonium (DNRA) and nitrification/denitrification processes and the two enzyme activities involved in organic N degradation and N-releasing processes, suggesting that the formation of AHN fractions was closely associated with specific functional microbial taxa and enzyme activities induced by N fertilization. Our results provide new insights into the associations among increased N input, altered formation of soil organic N, and shifts in microbial communities and enzyme activities.

Kynurenic acid inhibits macrophage pyroptosis by suppressing ROS production via activation of the NRF2 pathway.

Macrophage pyroptosis and related inflammatory responses play an important role in periodontitis. Kynurenic acid (KA) is hypothesized to have anti­inflammatory potential, but whether KA can inhibit macrophage pyroptosis and the underlying mechanisms remain unclear. Lipopolysaccharide (LPS) was used to induce pyroptosis in THP­1­derived macrophages. KA or ML385 was used to pretreat macrophages, after which, cell viability, NOD­like receptor protein 3 (NLRP3) inflammasome­related protein expression, oxidative stress levels and nuclear factor erythroid 2­related factor 2 (NRF2) expression were measured. The results showed that KA improved the LPS­induced decrease in macrophage viability and lactate dehydrogenase release. KA prevented THP­1 macrophage pyroptosis induced by LPS by reducing the expression of NLRP3, Gasdermin­D, and Caspase1, and decreased the expression of inflammatory factors. KA suppressed NLRP3 inflammasome activation by inhibiting ROS overproduction and increasing Heme Oxygenase 1 and glutathione levels. Moreover, KA promoted NRF2 translocation from the cytoplasm to the nucleus. In addition, the anti­pyroptotic and antioxidant effects of KA were reversed by ML385 inhibition of NRF2. In the present study, it was found that KA significantly suppressed macrophage pyroptosis induced by LPS. It was further demonstrated that the anti­pyroptotic effects of KA were mediated by activation of the NRF2 pathway.

Principle and Applications of Multimode Strong Coupling Based on Surface Plasmons.

In the past decade, strong coupling between light and matter has transitioned from a theoretical idea to an experimental reality. This represents a new field of quantum light-matter interaction, which makes the coupling strength comparable to the transition frequencies in the system. In addition, the achievement of multimode strong coupling has led to such applications as quantum information processing, lasers, and quantum sensors. This paper introduces the theoretical principle of multimode strong coupling based on surface plasmons and reviews the research related to the multimode interactions between light and matter. Perspectives on the future development of plasmonic multimode coupling are also discussed.

Selenium fertigation with nanobubbles influences soil selenium residual and plant performance by modulation of bacterial community.

Although selenium (Se) is an essential microelement for humans and animals, it is a potentially toxic element due to its bioaccumulation potential. In this study, Se fertilizer was supplied in a greenhouse vegetable (cucumber) plantation using an innovative system consisting of nanobubbles (NB_Se) and compared to that under conventional conditions of fertigation (C_Se) with six doses. The results revealed that NB_Se significantly reduced soil Se accumulation (38%-144%) and increased cucumber Se content compared with the C_Se treatments at the same Se dose. NB_Se significantly lowered the soil bacterial diversity, with an initial increase and then decrease with the Se doses. Bacterial associations and potential keystone taxa also differed between the NB_Se and C_Se. The greater abundance of oxidizing bacteria (indicated by the function composition of bacterial community) and the improved soil redox environment created by NBs sustained more available Se for plants, leading to a reduction in soil Se residual and an increase in the plant Se content. Our results highlight the feasibility and efficiency of NB_Se and demonstrate the important implications of Se for the maintenance of soil health and sustainability.

Capturing Carriers and Driving Depolarization by Defect Engineering for Dielectric Energy Storage.

The inevitable defect carriers in dielectric capacitors are generally considered to depress the polarization and breakdown strength, which decreases energy storage performances. Distinctive from the traditional aims of reducing defects as much as possible, this work designs (FeTi' - Vo••)• and (FeTi″ - Vo••) defect dipoles by oxygen vacancy defect engineering in acceptor doped Sr2Bi4Ti(5-x)FexO18 layered perovskite films with n-type leakage conductance. It is shown that oxygen vacancies effectively capture electrons (carriers) in n-type dielectrics to enhance the breakdown strength. Meanwhile, defect dipoles provide a driving field for depolarization to engineer the generation energy of domains and the domain wall energy, which effectively lowers the residual polarization Pr but not at the expense of the maximum polarization Pmax as relaxor ferroelectric regulations. Such defect engineering effectively breaks through the limitation, in which the energy storage density suffers from the trade-off relationship between polarization and breakdown strength. The Sr2Bi4Ti4.92Fe0.08O18 film with the proper oxygen vacancy content achieves a high energy density of 110.5 J/cm3 and efficiency of 70.0% at a high breakdown strength of 3915 kV/cm. This work explores an alternative way for breakthroughs possible in the intrinsic trade-off relationship to regulate dielectric energy storage by defect engineering.

Multiple fouling dynamics, interactions and synergistic effects in brackish surface water distribution systems.

Dissolved salts, colloidal particles, and active microorganisms in brackish surface water distribution systems (BSWD) cause multiple fouling, poses potential threat to the environmental pollution, and raising technical and economic issues as well. So far, the co-occurrence and interactions of multiple fouling remains largely unknown. Multiple fouling behaviors were assessed in agriculture BSWD under different nitrogen (N) fertilizers. X-ray diffraction, Rietveld refinement analysis, 16S rRNA, and microbial network analysis were conducted to determine the fouling characteristics. Statistical analysis was applied to reveal the relative contributions and interaction of multiple fouling. Our results demonstrated, multiple fouling of precipitates, particulates and biofoulings were co-occurred. Fouling growth was largely attributed to the strong interactions of different fouling. The binary interactions of precipitates - particulates contributed 51.1%, and ternary interactions of precipitates - particulates - biofouling contributed 25.4% to explain the decline of system performance, while the contribution of each single type fouling was minimal. Thereby indicating the significant role of calcium silica, biomineralization and bio-silicates in fouling. The lower acid N fertilizer broken the interaction of multiple fouling by increasing the precipitate crystal parameters and repulsive forces amongst particulates, as well as destroyed microbial interactions in biofouling. Overall, this study open frontier for multiple fouling in-depth profiling and antifouling guidance for effective utilization of BSWD.

KIX domain determines a selective tumor-promoting role for EP300 and its vulnerability in small cell lung cancer.

EP300, a transcription coactivator important in proliferation and differentiation, is frequently mutated in diverse cancer types, including small cell lung cancer (SCLC). While these mutations are thought to result in loss of EP300 function, the impact on tumorigenesis remains largely unknown. Here, we demonstrate that EP300 mutants lacking acetyltransferase domain accelerate tumor development in mouse models of SCLC. However, unexpectedly, complete Ep300 knockout suppresses SCLC development and proliferation. Dissection of EP300 domains identified kinase inducible domain-interacting (KIX) domain, specifically its interaction with transcription factors including MYB, as the determinant of protumorigenic activity. Ala627 in EP300 KIX results in a higher protein-binding affinity than Asp647 at the equivalent position in CREBBP KIX, underlying the selectivity of KIX-binding partners for EP300. Blockade of KIX-mediated interactions inhibits SCLC development in mice and cell growth. This study unravels domain-specific roles for EP300 in SCLC and unique vulnerability of the EP300 KIX domain for therapeutic intervention.

Effect of lifelong sucrose consumption at human-relevant levels on food intake and body composition of C57BL/6N mice.

Introduction: Controversies surround the issue if chronic consumption of a high-sugar diet is detrimental to health or not. This study investigates whether lifelong consumption of a higher sucrose diet will induce overeating, and obesity, and cause metabolic dysfunctions such as hyperglycemia and dyslipidaemia in C57BL/6N mice, compared to a lower sucrose diet. Methods: Male C57BL/6N mice at 3 weeks of age were randomized into consuming a diet with 25 or 10% kcal from sucrose for the rest of their lives. Body weight, food and water intake, fasting blood glucose, insulin, and lipid levels were measured at regular intervals. At the end of the study, organs and tissues were collected and gene expression was measured. Results: There was no discernible difference in the impact on food intake, body composition, glucose and lipid homeostasis, liver triglyceride content, life expectancy, as well as gene expression related to intermediary metabolism between mice fed a diet with 10 vs. 25% kcal as sucrose over their lifespan. We also showed that switching from a 25% kcal diet to a 10% kcal diet at different life stages, or vice versa, did not appear to affect these outcomes of interest. Discussion: The results from our study suggest that lifelong consumption of a higher sugar diet generally did not induce overeating and obesity, disrupt carbohydrate metabolism and lipid homeostasis, and reduce life expectancy compared with a lower sugar diet. Our unorthodox findings disagreed with the popular belief that higher sugar consumption is detrimental to health, which should be confirmed in future studies.

Design of highly efficient deep-red emission in the Mn4+ doped new-type structure CaMgAl10O17 for plant growth LED light.

The auxiliary light equipment for plant growth requires phosphor-converted light-emitting-diodes (pc-LEDs) with high luminous efficiency and a stable structure, and the properties of phosphors highly determine the performance of the pc-LEDs. This work reports a deep-red emitting phosphor with an ultra-wide response range which is regarded as CaMgAl10O17:Mn4+. The absorption range spans the ultraviolet, near-ultraviolet, blue, and green light regions from 250 to 550 nm. Under the excitation of the best excitation position at 343 nm, deep-red light at 654 nm is emitted, and the quantum efficiency is as high as 86.7%. The luminous efficiency of the two pc-LED devices prepared based on CaMgAl10O17:Mn4+ with 395 and 460 nm chips reached 54.3 and 59.6 lm W-1, respectively. The spectra of the two pc-LEDs exhibit high resemblance to the absorption spectra of chlorophyll A and B in plant growth photosynthesis. These indicate that the CaMgAl10O17:Mn4+ phosphor can be an excellent candidate for plant growth LED light.

Oxygen polyhedral dipole-dipole interaction induced domain reconstruction and relaxor behaviors in layered perovskite films for dielectric energy storage.

We define AO12 and BO6 oxygen polyhedra in layered perovskite films as A-O* and B-O* polyhedral dipoles, respectively, which are responsible for the spontaneous polarization and the construction of domains. Based on the dipole-dipole interaction among such polyhedral dipoles, we propose and deduce the forming domain energy Gk, which decides the evolution of domains. Furthermore, A-O* polyhedral dipoles of three-layered Bi4Ti3O12 are regulated by respectively inserting two layers of SrTiO3 and Sr0.92Ba0.08TiO3 into it to form Sr2Bi4Ti5O18 (SBT) and Ba0.16Sr1.84Bi4Ti5O18 (BSBT) films. It is shown that the domains are reconstructed to form smaller domains due to the decrease of the forming domain energy, which is also embodied in the relaxor characteristics. Likewise, interestingly, the maximum polarization of a BSBT film is enhanced due to the lattice extension derived from A-O* dipole regulation, which brings about improved energy storage performances with the density reaching as high as 102.9 J cm-3 and the efficiency increasing to 64.8%. This work provides a preferred alternative strategy to regulate the relaxor behavior by domain reconstruction for dielectric energy storage.

The Design and Research of a New Hybrid Surface Plasmonic Waveguide Nanolaser.

Using the hybrid plasmonic waveguide (HPW) principle as a basis, a new planar symmetric Ag-dielectric-SiO2 hybrid waveguide structure is designed and applied to nanolasers. First, the effects on the electric field distribution and the characteristic parameters of the waveguide structure of changes in the material, the nanometer radius, and the dielectric layer thickness were studied in detail using the finite element method with COMSOL Multiphysics software. The effects of two different dielectric materials on the HPW were studied. It was found that the waveguide performance could be improved effectively and the mode propagation loss was reduced when graphene was used as the dielectric, with the minimum effective propagation loss reaching 0.025. Second, the gain threshold and the quality factor of a nanolaser based on the proposed hybrid waveguide structure were analyzed. The results showed that the nanolaser has a lasing threshold of 1.76 µm-1 and a quality factor of 109 when using the graphene dielectric. A low-loss, low-threshold laser was realized, and the mode field was constrained by deep sub-wavelength light confinement. This structure has broad future application prospects in the integrated optics field and provides ideas for the development of subminiature photonic devices and high-density integrated circuits.