Tuning Thermal Conductivity of Hybrid Perovskites through Halide Alloying

Tuning the thermal transport properties of hybrid halide perovskites is critical for their applications in optoelectronics, thermoelectrics, and photovoltaics. Here, we demonstrate an effective strategy to modulate the thermal transport property of hybrid perovskites by halide alloying. A highly tunable thermal conductivity of mixed-halide hybrid perovskites is achieved due to halide-alloying and structural distortion. Our experimental measurements show that the room temperature thermal conductivity of MAPb(BrxI1-x)3 (x = 0-1) can be largely modulated from 0.27 W/mK (x = 0.5) to 0.47 W/mK (x = 1). Molecular dynamics simulations further demonstrate that the thermal conductivity reduction of hybrid halide perovskites results from the suppression of the mean free paths of the low-frequency acoustic and optical phonons. It is found that halide alloying and the induced structural distortion can largely increase the scatterings of optical and acoustic phonons, respectively. The confined diffusion of MA+ cations in the octahedra cage is found to act as an additional thermal transport channel in hybrid perovskites and can contribute around 10-20% of the total thermal conductivity. Our findings provide a strategy for tailoring the thermal transport in hybrid halide perovskites which may largely benefit their related applications

Research Progress of Bacteriocins from Lactic Acid Bacteria Based on Bibliometric Analysis

Bacteriocins from lactic acid bacteria are kinds of natural proteins or peptides with antibacterial activities produced by lactic acid bacteria in the process of metabolism. They have the advantages of non-drug resistance, biodegradation, good antibacterial activity, etc., which have broad application prospects in food, medicine and feed fields. Based on bibliometrics, the literatures related to bacteriocins from lactic acid bacteria are searched in CNKI database and Web of Science (WOS) core collection database from 2000 to 2023, obtains 627 Chinese literatures and 2543 English literatures. CiteSpace software is used to analyze the research status and hot spots in this field from the perspective of annual number of published papers, core countries, authors, institutions and journals, highly cited literatures, keyword co-occurrence and co-clustering, etc.. The results show that the number of literatures has an increasing trend from 2000 to 2022. Spain, India and China are the top three countries in terms of number of literatures. The authors with the highest number of publications in CNKI database and WOS database are LI Pinglan from China Agricultural University and Todorov SD from University of Sao Paulo in Brazil, respectively. The journals with the highest number of publications are “Science and Technology of Food Industry” and “Journal of Appled Micbiogy”. In the CNKI database, keyword analysis reveals that most of the literatures are isolated, screened and identified from different food samples to obtain bacteriocin-producing lactic acid bacteria, and further evaluates the antibacterial activity of bacteriocins, and discusses the application in the food industry. The analysis of burst words shows that the focus of current research are antibacterial mechanism of bacteriocin and the relationship between bacteriocin and probiotics. In WOS database, the keywords of "gastrointestinal tract", "genetic characteristics", "Listeria mononucleogenes" and "antibacterial activity" appears more frequently. The main focus is the mining of bacteriocins from lactic acid bacteria toward antibiotic-resistant bacteria, and analysis of the genetic characteristics. The comprehensive analysis provides a reference and help for Chinese scientific researchers to engage in related research and predict the future development trend of the industry

Real-time Monitoring for the Next Core-Collapse Supernova in JUNO

Core-collapse supernova (CCSN) is one of the most energetic astrophysical events in the Universe. The early and prompt detection of neutrinos before (pre-SN) and during the SN burst is a unique opportunity to realize the multi-messenger observation of the CCSN events. In this work, we describe the monitoring concept and present the sensitivity of the system to the pre-SN and SN neutrinos at the Jiangmen Underground Neutrino Observatory (JUNO), which is a 20 kton liquid scintillator detector under construction in South China. The real-time monitoring system is designed with both the prompt monitors on the electronic board and online monitors at the data acquisition stage, in order to ensure both the alert speed and alert coverage of progenitor stars. By assuming a false alert rate of 1 per year, this monitoring system can be sensitive to the pre-SN neutrinos up to the distance of about 1.6 (0.9) kpc and SN neutrinos up to about 370 (360) kpc for a progenitor mass of 30$M_{\odot}$ for the case of normal (inverted) mass ordering. The pointing ability of the CCSN is evaluated by using the accumulated event anisotropy of the inverse beta decay interactions from pre-SN or SN neutrinos, which, along with the early alert, can play important roles for the followup multi-messenger observations of the next Galactic or nearby extragalactic CCSN.Comment: 24 pages, 9 figure

Potential of Core-Collapse Supernova Neutrino Detection at JUNO

JUNO is an underground neutrino observatory under construction in Jiangmen, China. It uses 20kton liquid scintillator as target, which enables it to detect supernova burst neutrinos of a large statistics for the next galactic core-collapse supernova (CCSN) and also pre-supernova neutrinos from the nearby CCSN progenitors. All flavors of supernova burst neutrinos can be detected by JUNO via several interaction channels, including inverse beta decay, elastic scattering on electron and proton, interactions on C12 nuclei, etc. This retains the possibility for JUNO to reconstruct the energy spectra of supernova burst neutrinos of all flavors. The real time monitoring systems based on FPGA and DAQ are under development in JUNO, which allow prompt alert and trigger-less data acquisition of CCSN events. The alert performances of both monitoring systems have been thoroughly studied using simulations. Moreover, once a CCSN is tagged, the system can give fast characterizations, such as directionality and light curve

Detection of the Diffuse Supernova Neutrino Background with JUNO

As an underground multi-purpose neutrino detector with 20 kton liquid scintillator, Jiangmen Underground Neutrino Observatory (JUNO) is competitive with and complementary to the water-Cherenkov detectors on the search for the diffuse supernova neutrino background (DSNB). Typical supernova models predict 2-4 events per year within the optimal observation window in the JUNO detector. The dominant background is from the neutral-current (NC) interaction of atmospheric neutrinos with 12C nuclei, which surpasses the DSNB by more than one order of magnitude. We evaluated the systematic uncertainty of NC background from the spread of a variety of data-driven models and further developed a method to determine NC background within 15\% with {\it{in}} {\it{situ}} measurements after ten years of running. Besides, the NC-like backgrounds can be effectively suppressed by the intrinsic pulse-shape discrimination (PSD) capabilities of liquid scintillators. In this talk, I will present in detail the improvements on NC background uncertainty evaluation, PSD discriminator development, and finally, the potential of DSNB sensitivity in JUNO

Toeplitz Operators on the Dirichlet Space of 𝔹

We study the algebraic properties of Toeplitz operators on the Dirichlet space of the unit ball n. We characterize pluriharmonic symbol for which the corresponding Toeplitz operator is normal or isometric. We also obtain descriptions of conjugate holomorphic symbols of commuting Toeplitz operators. Finally, the commuting problem of Toeplitz operators whose symbols are of the form zpz¯qϕ(|z|2) is studied

FPGA-Based Implementation of Multidimensional Reconciliation Encoding in Quantum Key Distribution

We propose a multidimensional reconciliation encoding algorithm based on a field-programmable gate array (FPGA) with variable data throughput that enables quantum key distribution (QKD) systems to be adapted to different throughput requirements. Using the circulatory structure, data flow in the most complex pipeline operation in the same time interval, which enables the structural multiplexing of the algorithm. We handle the calculation and storage of eight-dimensional matrices cleverly to conserve resources and increase data processing speed. In order to obtain the syndrome more efficiently, we designed a simplified algorithm according to the characteristics of the FPGA and parity-check matrix, which omits the unnecessary operation of matrix multiplication. The simplified algorithm could adapt to different rates. We validated the feasibility and high speed of the algorithm by implementing the multidimensional reconciliation encoding algorithm on a Xilinx Virtex-7 FPGA. Our simulation results show that the maximum throughput could reach 4.88 M symbols/s

Abundant genetic diversity and maternal origins of modern horses

To clarify the origin and genetic diversity of modern horses, mitochondrial DNA (mtDNA) D-loop sequences were generated for 3,965 horses from 12 geographical regions. From these sequences, we observed 439 haplotypes defined by 138 polymorphic nucleotide sites. All horses were genetically diverse (Hd = 0.973 ± 0.001, π = 0.0243 ± 0.0005), which showed that maternal lineages of the domestic horse are worldwide highly diverse. In general, all 18 haplogroups were presented in the Asian horse. The majority of modern horse sequences belong to haplogroups L, Q, and A. At the same time, 194 archaeological samples from four geographical regions were obtained. Indeed, haplogroup distributions are overlapping in modern and ancient samples, indicating that most haplogroups were already present in ancient times at least in Europe and Asia. The network showed that breeds of Asian and Europe regions overlapped, suggesting that extensive gene flow had occurred between different horse breeds in Asian and European regions.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author

Specific expression pattern of IMP metabolism related-genes in chicken muscle between cage and free range conditions.

Inosine monophosphate (IMP) is a key factor affecting the fleshy flavor of meat; meanwhile, the free-range mode is an efficient strategy to improve muscular IMP content. To assess expression differences in IMP metabolism-related genes under different feeding patterns, Illumina Nextseq 500 sequencing was used to catalog the global gene expression profiles of muscle samples from Lueyang black-bone chicken under free-range and caging conditions. A total of 15510 unigenes were assembled, with 13423 (86.54%) and 6088 (39.25%) unigenes correctly annotated in the GO and KOG databases, respectively. Next, the "purine metabolism" pathway in the "nucleotide metabolism group" was assessed in depth. Through Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, we retrieved 172 nucleotide- and 5 purine- metabolism related genes that were differentially expressed in muscle samples from free-range and caged chickens. At 60-day-old, AMPD1, NT5C1A and ENTPD8 showed higher levels in the free-range group, while only ENTPD8 was upregulated in 120-day-old chickens. In addition, GART, GARS and ADSL in free-range chickens showed higher levels compared with caged animals. Furthermore, IMPDH levels in free-range chicken were lower than those of caged chicken. Real-time quantitative polymerase chain reaction (qPCR) was used to validate the above findings. These results revealed a set of differentially expressed genes potentially related to IMP metabolism in chicken under different breeding modes, providing novel insights into controlling IMP levels in chicken meat

Effects of Resveratrol on Mouse B16 Melanoma Cell Proliferation through the SHCBP1-ERK1/2 Signaling Pathway

Melanoma originates from the malignant mutational transformation of melanocytes in the basal layer of the epidermal layer of the skin. It can easily spread and metastasize in the early stage, resulting in a poor prognosis. Therefore, it is particularly important to find effective antitumor adjuvant drugs to inhibit the occurrence and development of melanoma. In this study, we found that resveratrol, a polyphenolic compound from grape plants, can significantly inhibit the proliferation, colony formation and migration of mouse melanoma B16 cells. Notably, resveratrol was also found to inhibit the expression of SHCBP1 in B16 cells. Transcriptional analysis and cellular studies showed that SHCBP1 can activate the MAPK/ERK signaling pathway to regulate cyclin expression and promote the G1/S phase transition of the cell cycle by upregulating ERK1/2 phosphorylation levels. Resveratrol further downregulates the phosphorylation level of ERK1/2 by inhibiting SHCBP1 expression, thus inhibiting tumor cell proliferation. In conclusion, resveratrol inhibits the proliferation of B16 cells by regulating the ERK1/2 signaling pathway through SHCBP1. As an upstream protein of the ERK1/2 signaling pathway, SHCBP1 may be involved in the process of resveratrol-mediated inhibition of tumor cell proliferation