China Interval Ratio of Lending Rate: above LPR data was reported at 49.630 % in Dec 2024. This records a decrease from the previous number of 52.850 % for Nov 2024. China Interval Ratio of Lending Rate: above LPR data is updated monthly, averaging 66.020 % from Aug 2019 (Median) to Dec 2024, with 65 observations. The data reached an all-time high of 84.130 % in Aug 2019 and a record low of 49.550 % in Jun 2024. China Interval Ratio of Lending Rate: above LPR data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MA: Rediscount and Lending Rate.

The p-value is a likelihood ratio p-value and thus identical for both comparison measures. The numbers needed to treat (NNT) were based on the estimated risk difference.

Employing historical records we are able to estimate the risk of premature death during the second plague pandemic, and identify the Black Death and pestis secunda epidemics. We show a novel method of calculating Bayesian credible intervals for a ratio of beta distributed random variables and use this to quantify uncertainty of relative risk estimates for these two epidemics which we consider in a 2 × 2 contingency table framework.

China Interval Ratio of Lending Rate: above LPR: 3-5% data was reported at 4.910 % in Dec 2024. This records a decrease from the previous number of 5.490 % for Nov 2024. China Interval Ratio of Lending Rate: above LPR: 3-5% data is updated monthly, averaging 7.720 % from Aug 2019 (Median) to Dec 2024, with 65 observations. The data reached an all-time high of 11.060 % in Oct 2019 and a record low of 4.910 % in Dec 2024. China Interval Ratio of Lending Rate: above LPR: 3-5% data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MA: Rediscount and Lending Rate.

We analysed long-term variations in grain-size distribution in sediments from Gåsfjärden, a fjord-like inlet on the south-west Baltic Sea, and explored potential drivers of the recorded changes in sediment grain-size data. Over the last 5.4 thousand years (ka), the relative sea level decreased 17 m in the study region, caused by isostatic land uplift. As a consequence, Gåsfjärden has been transformed from an open coastal setting into a semi-closed inlet surrounded on the east by numerous small islands. To quantitatively estimate the morphological changes in Gåsfjärden over the last 5.4 ka and to further link the changes to our grain-size data, a digital elevation model (DEM)-based openness index was calculated. In the period between 5.4 and 4.4 ka BP, the inlet was characterised by the largest openness index. During this interval, the highest sand contents (~0.4 %) and silt/clay ratios (~0. 3) in the sediment sequence were recorded, indicating relatively high bottom water energy. After 4.4 ka BP, the average sand content was halved to ~0.2 % and the silt/clay ratios showed a significant decreasing trend over the last 4 ka. These changes are found to be associated with the gradual embayment of Gåsfjärden as represented in the openness index. The silt/clay ratios exhibited a delayed and slower change compared with the sand contents, which further suggest that finer particles are less sensitive to changes in hydrodynamic energy. Our DEM-based coastal openness index has proved to be a useful tool for interpreting the sedimentary grain-size record.

China Interval Ratio of Lending Rate: below LPR data was reported at 44.910 % in Dec 2024. This records an increase from the previous number of 42.300 % for Nov 2024. China Interval Ratio of Lending Rate: below LPR data is updated monthly, averaging 28.400 % from Aug 2019 (Median) to Dec 2024, with 65 observations. The data reached an all-time high of 44.910 % in Dec 2024 and a record low of 15.550 % in Aug 2019. China Interval Ratio of Lending Rate: below LPR data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MA: Rediscount and Lending Rate.

The empirical coverage probability (ECP) and the mean interval width (MIW) of 95% CI for proportion ratio (g = 3).

China Interval Ratio of Lending Rate: above LPR: 0.5-1.5% data was reported at 16.570 % in Dec 2024. This records a decrease from the previous number of 16.890 % for Nov 2024. China Interval Ratio of Lending Rate: above LPR: 0.5-1.5% data is updated monthly, averaging 21.240 % from Aug 2019 (Median) to Dec 2024, with 65 observations. The data reached an all-time high of 26.960 % in Aug 2019 and a record low of 15.590 % in Jul 2024. China Interval Ratio of Lending Rate: above LPR: 0.5-1.5% data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MA: Rediscount and Lending Rate.

A total of 556 samples (3 cm average sample spacing) were collected from the 12 m long Winsenberg section in order to reconstruct a floating timescale using cyclostratigraphic methods and to investigate paleoclimatic dynamics using selected elemental ratios. Samples were measured as a powder covered with Chemplex film on a Bruker S1 Titan 800 portable XRF at the University of Münster with the following settings: 40 kV, 20 mA, no filters, 75 s. Spectra were deconvoluted in Bruker Artrax software, and linearly calibrated using a set of 10 sedimentary standards of known composition and 11 calcite-quart mixtures. The composition of these standards is also included. Selected elemental ratios were tuned via the methods described in the accompanying manuscript, and are included in this dataset as well.

This dataset is about: Particle fluxes for the sampling interval, various ratios and major nutrients at the Atlantic/Southern Ocean trapping sites.

Coverage probability (in percentage, %) of the estimated overall effect size’s 95% confidence interval in the simulation studies.

China Interval Ratio of Lending Rate: above LPR: 0.5% data was reported at 19.530 % in Dec 2019. This records an increase from the previous number of 19.420 % for Nov 2019. China Interval Ratio of Lending Rate: above LPR: 0.5% data is updated monthly, averaging 19.620 % from Aug 2019 (Median) to Dec 2019, with 5 observations. The data reached an all-time high of 21.110 % in Sep 2019 and a record low of 19.420 % in Nov 2019. China Interval Ratio of Lending Rate: above LPR: 0.5% data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MA: Rediscount and Lending Rate.

'CERN-LHC. Production cross sections of muons from semi-leptonic decays of charm and beauty hadrons were measured at forward rapidity ($2.5 < y < 4$) in proton-proton (pp) collisions at a centre-of-mass energy $\sqrt{s} = 5.02$ TeV with the ALICE detector at the CERN LHC. The results were obtained in an extended transverse momentum interval, $2 < p_{\rm T} < 20$ GeV/$c$, and with an improved precision compared to previous measurements performed in the same rapidity interval at centre-of-mass energies $\sqrt{s} = 2.76$ and $7$ TeV. The $p_{\rm T}$- and $y$-differential production cross sections as well as the $p_{\rm T}$-differential production cross section ratios between different centre-of-mass energies and different rapidity intervals are described, within experimental and theoretical uncertainties, by predictions based on perturbative QCD.' Ratio of the $p_{\rm T}$-differential production cross section of muons from heavy-flavour hadron decays in $3.7 < y < 4$ to that in $2.5 < y < 2.8$ in pp collisions at $\sqrt{s}=5.02$ TeV.

This Wind Generation Interactive Query Tool created by the CEC. The visualization tool interactively displays wind generation over different time intervals in three-dimensional space. The viewer can look across the state to understand generation patterns of regions with concentrations of wind power plants. The tool aids in understanding high and low periods of generation. Operation of the electric grid requires that generation and demand are balanced in each period.

China Interval Ratio of Lending Rate: Loan Prime Rate(LPR) data was reported at 5.460 % in Dec 2024. This records an increase from the previous number of 4.850 % for Nov 2024. China Interval Ratio of Lending Rate: Loan Prime Rate(LPR) data is updated monthly, averaging 5.990 % from Aug 2019 (Median) to Dec 2024, with 65 observations. The data reached an all-time high of 8.420 % in Mar 2021 and a record low of 0.320 % in Aug 2019. China Interval Ratio of Lending Rate: Loan Prime Rate(LPR) data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MA: Rediscount and Lending Rate.

RSAM, MF, HF and DSAR time series for Ruapehu stations FWVZ over the 14 years explored, and for Whakaari stations WIZ over 9 years. Computing datastreams: we harnessed seismic data from a vertical component station for each individual volcano. We applied data processing techniques that resulted in the generation of four distinct time series, with a sampling interval of 10 minutes. Various measures were employed to capture different aspects of the seismic signal. The first measure, known as the Real-time Seismic Amplitude Measurement (RSAM), was obtained by calculating the 10-minute moving average of the velocity recorded by the vertical station This signal was then subjected to bandpass filtering within the frequency range of 2 to 5 Hz, which focuses on tremor signal of frequent volcanic origin while excluding ocean noise at lower frequencies. Similarly, the Median Frequency (MF) and High Frequency (HF) measures were derived using a comparable approach to RSAM, but with specific bandpass filtering applied. MF was obtained by filtering the signal within the frequency range of 4.5 to 8 Hz, while HF was obtained by filtering within the frequency range of 8 to 16 Hz. The 4.5 Hz threshold between RSAM and MF reflects an assumption that tremor mostly radiates energy below 4.5 Hz. To exclude this effect and explore attenuation related to permeability change (such as sealing), this frequency value is used as a threshold. Lastly, the Displacement Seismic Amplitude Ratio (DSAR) was calculated as the ratio of the integrals of the MF and HF signals. High values of DSAR have been inferred to correlate with high gas levels in the edifice, suggesting either reduced fluid motion and/or trapping that has led to a gas-accumulation. Quick recipes The steps below describe calculation of precursors discussed in this study. The first step is to calculate the data stream. There are several sub-steps: (1) After removing the instrument response to the seismic signals, apply a bandpass filters to each 24 hours of data, between 2-4.5, 4-8 and 8-16 Hz (corresponding to the RSAM, MF and HF bands). (2) Compute the absolute values of each signal. (3) Subdivide the signals into 10 minutes intervals. For each interval, compute the average value as the RSAM, MF and HF datapoints assigned to that interval. (4) (optional) Removing outliers associated with regional earthquakes is optional. We procced as follow: from (2), subdivide the signals into 10 minutes intervals. Calculated the mean and standard deviation (mu and sigma) for each interval. Apply z-score normalization in log-space to the interval using mu and sigma. Check if any value in the interval exceeds a threshold of 3.2 standard deviations above the mean. If yes, exclude data points from a 150s mask starting 15s before the outlier located. Calculate the average value in the interval excluding points inside the mask: this the RSAM, MF and HF value for the interval. To calculate the DSAR, procced as follow: (1) Integrate the bandpass filtered MF and HF data with time. (2) Take the absolute value and compute averages on 10-minute intervals. (3) Compute the ratio between integrated MF and HF.

DOI retrieved: 2003

Seventeen whole-rock samples, generally taken at 25-50 m intervals from 5 to 560 m sub-basement in Hole 504B, drilled in 6.2 m.y. old crust, were analysed for 87Sr/86Sr ratios, Sr and Rb concentrations, and 18O/16O ratios. Sr isotope ratios for 8 samples from the upper 260 m of the hole range from 0.70287 to 0.70377, with a mean of 0.70320. In the 330-560 m interval, 5 samples have a restricted range of 0.70255-0.70279, with a mean of 0.70266, the average value for fresh mid-ocean ridge basalts (MORB). In the 260-330 m interval, approximately intermediate Sr isotopic ratios are found. Delta18O values (?) range from 6.4 to 7.8 in the upper 260 m, 6.2-6.4 in the 270-320 m interval, and 5.8-6.2 in the 320-560 m interval. The values in the upper 260 m are typical for basalts which have undergone low-temperature seawater alteration, whereas the values for the 320-560 m interval correspond to MORB which have experienced essentially no oxygen isotopic alteration. The higher 87Sr/86Sr and 18O/16O ratios in the upper part of the hole can be interpreted as the result of a greater overall water/rock ratio in the upper part of the Hole 504B crust than in the lower part. Interaction of basalt with seawater (87Sr/86Sr = 0.7091) increased basalt 87Sr/86Sr ratios and produced smectitic alteration products which raised whole-rock delta18O values. Seawater circulation in the lower basalts may have been partly restricted by the greater number of relatively impermeable massive lava flows below about 230 m sub-basement. These flows may have helped to seal off lower basalts from through-flowing seawater.

Significant at the 0.05 level,* significant at the 0.01 level,***significant at the 0.001 level.Note: Bold numbers indicate significant P-values.

Techical Information: Analysis focuses on the upper part of subunit 1/6, subunit 1/5, and the lower part of subunit 1/4 (cores M0002A-47X 3W to M0002A-44X 1W) extending from 203.70 to 191.99 mcd.