44 research outputs found
Intermediate diradical character and thermal cis–trans isomerization of near-infrared absorbing thionated squaraine dyes
Organic Chemistry Frontiers. 2024, 12 (1), P.42-47journal articl
Studies on Core-Based Testing of System-on-Chips Using Functional Bus and Network-on-Chip Interconnects
奈良先端科学技術大学院大学博士(工学)doctoral thesi
Recycling Strategy for Spent Lithium-Ion Batteries as an Ultra-efficiency Peroxymonosulfate Activator
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
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
<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
<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
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
