44 research outputs found

    Evidence for B→ϕϕK

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    journal articl

    Studies on Core-Based Testing of System-on-Chips Using Functional Bus and Network-on-Chip Interconnects

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    奈良先端科学技術大学院大学博士(工学)doctoral thesi

    ロード・プライシング理論とゲーム理論

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    departmental bulletin pape

    Recycling Strategy for Spent Lithium-Ion Batteries as an Ultra-efficiency Peroxymonosulfate Activator

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    In this study, a novel strategy was exploited to prepare an ultra-efficiency NiCoMn-layered double-hydroxide (NiCoMn-LDH) catalyst for the recycle of valuable elements in spent lithium-ion batteries. Based on the developed hydrometallurgical leaching method, avoiding the drawback of separation and purification procedures, it was stated that the elements of Ni, Co, and Mn could be synchronously extracted from the spent cathode powder in less than 20 min with leaching efficiencies exceeding 98.9%. NiCoMn-LDH with a uniform flake structure was synthesized successfully from the leaching solution by a co-precipitation method and the element precipitation efficiencies all exceeded 99% in the preparation process. NiCoMn-LDH exhibited a great tetrabromobisphenol S (TBBPS) degradation performance as a peroxymonosulfate (PMS) activator, TBBPS could be degraded completely in less than 100 s with an extremely low dosage (catalyst 10 mg/L and PMS 0.1 mmol/L, pH 5.6), and NiCoMn-LDH still kept a good stability after multiple reuse. Besides, ECOSAR predicted the toxicity of degradation products declined with the decrease of bromine substituents, reflecting the environmental friendliness of NiCoMn-LDH from spent lithium-ion batteries

    Rigid-Flexible Coupling Modification Strategy Realized by Combining MXene with C‑Coated Microsilicon for Long-Life Li-Ion Battery

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    Compared with nanosilicon, microsilicon with high capacity is the best candidate for high-energy-density lithium-ion batteries due to its lower cost and fewer interfacial side reactions. However, particle cracking and even pulverization caused by the huge volume expansion and low ionic conductivity of microsilicon seriously hinder its large-scale application. Here, we prepared a rigid-flexible coupled modification layer for microsilicon flakes (Si) by using polydopamine (PDA) as a bridging agent and MXene (Ti3C2Tx) as a buffer layer. The hydrogen bonds between groups on PDA and the terminal groups (−OH, etc.) on Si and MXene surfaces can induce the uniform distribution of Si particles on the surface of the MXene, which inhibits the agglomeration of Si particles and the self-accumulation of MXene nanosheets. In addition, the rigid N-doped carbon (NC) layer derived from the high-temperature cracking of PDA coated on the Si surface and the flexible MXene buffer layer synergistically form a hierarchical multiplex conductive network, which not only accelerates the kinetics of the electrode during cycling and suppresses particle cracking but also effectively protects the electrode from the destruction of the decomposition byproducts. As a result, this NC-coated Si uniformly supported on MXene (Si@NC/MXene-2) delivers highly reversible specific capacities of 1066.1 mAh g–1 after 250 cycles at 0.5 A g–1 and 810.9 mAh g–1 after 650 cycles even at a higher current density of 1 A g–1. This work provides valuable insights for the development of advanced silicon-based anode materials for application in high-energy-density lithium-ion batteries

    A Three Stage Integrative Pathway Search () framework to identify toxicity relevant genes and pathways-5

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    <p><b>Copyright information:</b></p><p>Taken from "A Three Stage Integrative Pathway Search () framework to identify toxicity relevant genes and pathways"</p><p>http://www.biomedcentral.com/1471-2105/8/202</p><p>BMC Bioinformatics 2007;8():202-202.</p><p>Published online 14 Jun 2007</p><p>PMCID:PMC1906836.</p><p></p>0.01 by t-test. H: control, P: palmitate treatment, O: oleate treatment, L: linoleate treatment

    A Three Stage Integrative Pathway Search () framework to identify toxicity relevant genes and pathways-0

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    <p><b>Copyright information:</b></p><p>Taken from "A Three Stage Integrative Pathway Search () framework to identify toxicity relevant genes and pathways"</p><p>http://www.biomedcentral.com/1471-2105/8/202</p><p>BMC Bioinformatics 2007;8():202-202.</p><p>Published online 14 Jun 2007</p><p>PMCID:PMC1906836.</p><p></p>NF-α for 24 and 48 hours. X-axis labels indicate the TNF-α concentration in ng/ml and the medium employed in each condition. Data expressed as averages of nine samples +/- s.d. from three independent experiments. , Significant medium effect, P < 0.05 relative to control (BSA medium with no TNF-α); , Significant TNF-α effect within a treatment, P < 0.05 compared to corresponding medium with no TNF-α exposure. TNF-α concentrations are in ng/ml

    Table_1_Causal relationship between gut microbiota and chronic renal failure: a two-sample Mendelian randomization study.DOCX

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    BackgroundObservational studies and some experimental investigations have indicated that gut microbiota are closely associated with the incidence and progression of chronic renal failure. However, the causal relationship between gut microbiota and chronic renal failure remains unclear. The present study employs a two-sample Mendelian randomization approach to infer the causal relationship between gut microbiota and chronic renal failure at the genetic level. This research aims to determine whether there is a causal effect of gut microbiota on the risk of chronic renal failure, aiming to provide new evidence to support targeted gut therapy for the treatment of chronic renal failure.MethodsEmploying genome-wide association study (GWAS) data from the public MiBioGen and IEU OpenGWAS platform, a two-sample Mendelian randomization analysis was conducted. The causal relationship between gut microbiota and chronic renal failure was inferred using five different methods: Inverse Variance Weighted, MR-Egger, Weighted Median, Simple Mode, and Weighted Mode. The study incorporated sensitivity analyses that encompassed evaluations for pleiotropy and heterogeneity. Subsequently, the results of the Mendelian randomization analysis underwent a stringent correction for multiple testing, employing the False Discovery Rate method to enhance the validity of our findings.ResultsAccording to the results from the Inverse Variance Weighted method, seven bacterial genera show a significant association with the outcome variable chronic renal failure. Of these, Ruminococcus (gauvreauii group) (OR = 0.82, 95% CI = 0.71–0.94, p = 0.004) may act as a protective factor against chronic renal failure, while the genera Escherichia-Shigella (OR = 1.22, 95% CI = 1.08–1.38, p = 0.001), Lactococcus (OR = 1.1, 95% CI = 1.02–1.19, p = 0.013), Odoribacter (OR = 1.23, 95% CI = 1.03–1.49, p = 0.026), Enterorhabdus (OR = 1.14, 95% CI = 1.00–1.29, p = 0.047), Eubacterium (eligens group) (OR = 1.18, 95% CI = 1.02–1.37, p = 0.024), and Howardella (OR = 1.18, 95% CI = 1.09–1.28, p ConclusionOur two-sample Mendelian randomization study suggests that the genera Escherichia-Shigella and Howardella are risk factors for chronic renal failure, and they may serve as potential targets for future therapeutic interventions. However, the exact mechanisms of action are not yet clear, necessitating further research to elucidate their precise roles fully.</p
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