This dataset tracks annual diversity score from 1996 to 2023 for L. B. Williams Elementary - 03 vs. South Dakota and Mitchell School District 17-2

Lebanon LB: SPI: Pillar 4 Data Sources Score: Scale 0-100 data was reported at 51.300 NA in 2023. This stayed constant from the previous number of 51.300 NA for 2022. Lebanon LB: SPI: Pillar 4 Data Sources Score: Scale 0-100 data is updated yearly, averaging 46.008 NA from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 53.925 NA in 2021 and a record low of 44.358 NA in 2018. Lebanon LB: SPI: Pillar 4 Data Sources Score: Scale 0-100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lebanon – Table LB.World Bank.WDI: Governance: Policy and Institutions. The data sources overall score is a composity measure of whether countries have data available from the following sources: Censuses and surveys, administrative data, geospatial data, and private sector/citizen generated data. The data sources (input) pillar is segmented by four types of sources generated by (i) the statistical office (censuses and surveys), and sources accessed from elsewhere such as (ii) administrative data, (iii) geospatial data, and (iv) private sector data and citizen generated data. The appropriate balance between these source types will vary depending on a country’s institutional setting and the maturity of its statistical system. High scores should reflect the extent to which the sources being utilized enable the necessary statistical indicators to be generated. For example, a low score on environment statistics (in the data production pillar) may reflect a lack of use of (and low score for) geospatial data (in the data sources pillar). This type of linkage is inherent in the data cycle approach and can help highlight areas for investment required if country needs are to be met.;Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators);Weighted average;

Lebanon LB: Statistical Performance Indicators (SPI): Overall Score: Scale 0-100 data was reported at 58.190 NA in 2023. This records an increase from the previous number of 57.953 NA for 2022. Lebanon LB: Statistical Performance Indicators (SPI): Overall Score: Scale 0-100 data is updated yearly, averaging 52.962 NA from Dec 2016 (Median) to 2023, with 8 observations. The data reached an all-time high of 59.913 NA in 2021 and a record low of 32.413 NA in 2016. Lebanon LB: Statistical Performance Indicators (SPI): Overall Score: Scale 0-100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lebanon – Table LB.World Bank.WDI: Governance: Policy and Institutions. The SPI overall score is a composite score measuing country performance across five pillars: data use, data services, data products, data sources, and data infrastructure.;Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators);Weighted average;

Lebanon LB: Women Business and the Law Index Score: scale 1-100 data was reported at 58.750 NA in 2023. This stayed constant from the previous number of 58.750 NA for 2022. Lebanon LB: Women Business and the Law Index Score: scale 1-100 data is updated yearly, averaging 44.375 NA from Dec 1970 (Median) to 2023, with 54 observations. The data reached an all-time high of 58.750 NA in 2023 and a record low of 44.375 NA in 1999. Lebanon LB: Women Business and the Law Index Score: scale 1-100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lebanon – Table LB.World Bank.WDI: Governance: Policy and Institutions. The index measures how laws and regulations affect women’s economic opportunity. Overall scores are calculated by taking the average score of each index (Mobility, Workplace, Pay, Marriage, Parenthood, Entrepreneurship, Assets and Pension), with 100 representing the highest possible score.;World Bank: Women, Business and the Law. https://wbl.worldbank.org/;;1. For the reference period, WDI and Gender Databases take the data coverage years instead of reporting years used in WBL (https://wbl.worldbank.org/). For example, the data for YR2020 in WBL (report year) corresponds to data for YR2019 in WDI and Gender Databases. 2. The 2024 Women, Business and the Law (WBL) report has introduced two distinct datasets, labeled as 1.0 and 2.0. The WBL data in the Gender database is based on the dataset 1.0. This dataset maintains consistency with the indicators used in previous WBL reports from 2020 to 2023. In contrast, the WBL 2.0 dataset includes new areas of childcare and safety. For those interested in exploring the WBL 2.0 dataset, it is available on the WBL website at https://wbl.worldbank.org.

This dataset tracks annual diversity score from 1991 to 2023 for L B Morris Elementary School vs. Pennsylvania and Jim Thorpe Area School District

Lebanon LB: Disaster Risk Reduction Progress Score: 1=Worst to 5=Best data was reported at 3.000 NA in 2011. Lebanon LB: Disaster Risk Reduction Progress Score: 1=Worst to 5=Best data is updated yearly, averaging 3.000 NA from Dec 2011 (Median) to 2011, with 1 observations. Lebanon LB: Disaster Risk Reduction Progress Score: 1=Worst to 5=Best data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lebanon – Table LB.World Bank: Land Use, Protected Areas and National Wealth. Disaster risk reduction progress score is an average of self-assessment scores, ranging from 1 to 5, submitted by countries under Priority 1 of the Hyogo Framework National Progress Reports. The Hyogo Framework is a global blueprint for disaster risk reduction efforts that was adopted by 168 countries in 2005. Assessments of 'Priority 1' include four indicators that reflect the degree to which countries have prioritized disaster risk reduction and the strengthening of relevant institutions.; ; (UNISDR, 2009-2011 Progress Reports, http://www.preventionweb.net/english/hyogo).; ;

These are the data underlying the analysis for our manuscript "Comparative analysis of methods for the prediction of protein-ligand binding sites".

In this work, we gather 11 ligand binding site predictors, spanning 30 years, focusing on the latest machine learning based methods, such as VN-EGNN, IF-SitePred, GrASP, PUResNet, and DeepPocket and comparing them to established methods such as P2Rank or fpocket and earlier methods such PocketFinder, Ligsite and Surfnet. We compare these eleven methods thoroughly and benchmark them against our curated reference dataset, LIGYSIS, to perform an objective assessment of their prediction capabilities. An informed ranking of the methods, as well as a series of reflections and guidelines to advance this field result as conclusions of this analysis, which represents the most thorough analytical comparison of ligand binding site prediction methods to date, offering a clear framework for future developments in the field of ligand binding site prediction.

This dataset tracks annual diversity score from 2017 to 2023 for L.b. Landry High School vs. Louisiana and Lord Beaconsfield Landry-Oliver Perry Walker High School District

This dataset tracks annual diversity score from 1991 to 2023 for L. B. Nelson Elementary School vs. South Carolina and Richland 02 School District

Dataset

This dataset was created by Mihail Parushkin

Contents

Forecast: Truck Trailers, With Axle Rating of Less Than 10,000 lb Sales in the US 2024 - 2028 Discover more data with ReportLinker!

Production data were generated using the Normalized Difference Vegetation Index (NDVI) from the Thematic Mapper Suite from 1984 to 2023 at 250 m resolution. The NDVI is converted to production estimates using two regression formulas depending on the level of the NDVI; there is one equation for lower values (and thus lower production values) and one for higher values. This raster dataset yields estimates of annual production of rangeland vegetation and should be useful for understanding trends and variability in forage resources.This raw lbs/acre data that the Z-scores were derived from as well as the Z-scores dataset can be downloaded from: https://data.fs.usda.gov/geodata/rastergateway/rangelands/index.php.

Cognitive biases are associated with the beginning and maintenance of addictive behaviours. While these biases have been studied in gambling, they have yet to be thoroughly investigated in the context of loot boxes (LBs), largely because of the relatively recent emergence of this phenomenon. This study compared cognitive biases in problematic gamblers, non-problematic gamblers, LB purchasers, and free-LB openers. For this aim, 279 participants (63.1% males) with a mean age of 23.65 years (SD = 8.66) completed a self-report. The results showed no differences between problematic gamblers, LB purchasers and LB openers on illusion of control and predictive control. In contrast to LB openers, problematic gamblers and LB purchasers obtained statistically similar scores on interpretative biases, gambling-related expectancies and the total score of the Gambling Related Cognitions Scale (GRCS). Only problematic gamblers experienced a higher perceived inability to stop gambling. Moreover, problematic gamblers, LB purchasers and LB openers scored higher on all biases compared to non-problematic gamblers. Eighty-six participants simultaneously gambled and used LBs. When this overlap was controlled, problematic gamblers and loot boxers shared all cognitive biases but the perceived inability to stop gambling; and scored statistically higher than non-problematic gamblers in all cognitive biases except for the illusion of control. The study provides additional evidence of the relationship between gambling and LBs.

Abbreviations: BA, Brodmann Area; rsFC, resting-state functional connectivity; ITG, inferior temporal gyrus; L, left; LB, laterobasal subregion; N, negative; OL, occipital lobe; P, positive; R, right; and TPJ, temporoparietal junction.

Lebanon LB: SPI: Pillar 3 Data Products Score: Scale 0-100 data was reported at 78.081 NA in 2023. This records an increase from the previous number of 76.900 NA for 2022. Lebanon LB: SPI: Pillar 3 Data Products Score: Scale 0-100 data is updated yearly, averaging 59.462 NA from Dec 2005 (Median) to 2023, with 19 observations. The data reached an all-time high of 79.575 NA in 2021 and a record low of 53.256 NA in 2016. Lebanon LB: SPI: Pillar 3 Data Products Score: Scale 0-100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lebanon – Table LB.World Bank.WDI: Governance: Policy and Institutions. The data products overall score is a composite score measureing whether the country is able to produce relevant indicators, primarily related to SDGs. The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system’s performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country.;Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators);Weighted average;

We could identify a number of bacteria from different locations and deriving from different biological samples: bacteria directly taken from infected pears, isolated bacteria grown on agar, or bacteria additionally grown in liquid medium (LB-glucose). Log scores over 2 were considered reliable for type strain identification using the pattern-matching approach. These identification scores could be easily replicated with the same strains analyzed several times. Specific mass signals were used to accurately identify sub-species by visual inspection of mass spectra or by software-supported weighted pattern matching as demonstrated in Figure 5 and in Tables 2 and 3.

CFU measurements collected with Serratia entompohila strains A1MO2 and 477 over a period of seven days when cultured together in LB broth and inoculated at varying ratios. Data includes both the raw colony counts from LB agar plates using antibiotics, the final CFU counts, and log10 transformed CFU counts, which were used in subsequent analysis. The data explores the interactions between a pathogenic strain (A1MO2) and a non-isogenic non-pathogenic strain (477) in a nutrient-rich environment.

To assess the effects of Liposomal Bupivacaine (LB) and provider LB use rate for 6 months after discharge on service utilization, clinical outcomes, and Medicare expenditures among Fee for Service (FFS) beneficiaries who have undergone hospital outpatient department (HOPD) procedures. 100% Medicare Research Identifiable Files data from 2019 to 2023 was utilized. Medicare FFS beneficiaries with the top 100 HOPD surgical procedures where LB was utilized were included in the study and divided into two cohorts: received LB (treatment) and did not receive LB (comparison) during the surgical procedure. An Inverse Probability Treatment Weighting Propensity Score model was estimated to balance treatment and control groups. We estimated Emergency Department (ED) admission, Short Term Acute Care Hospitals (STACH) admission, mortality, Opioid Use Disorder (OUD) and Opioid prescription fill events, and spending metrics. LB use contributed to significant reductions in ED admission (9%; 23.28 vs. 25.69%), STACH admission (8%; 11.61 vs. 12.65%), mortality (39%; 0.67 vs. 1.1%) and opioid prescription fills (6%; 1.8 vs. 1.92) within 180-days post-discharge. Total Medicare expenditures (180-day episode) were $245 lower for the LB user ($9,645 vs. $9,891). For each 10-percentage point increase in provider LB use-rate, the likelihood of ED admission, STACH admission, mortality, and OUD decreased by 0.1, 0.15, 0.01 and 0.02 percentage points, respectively. Total Medicare expenditures (180-day episode) were reduced by $258 for every one percentage point increase in LB use-rate. Use of LB and provider LB use rate are associated with improved patient clinical, service utilization, and expenditure outcomes. Liposomal bupivacaine (LB) represents a significant advancement in postoperative pain management, with studies demonstrating its ability to reduce opioid consumption and improve recovery outcomes. Previous studies have found that increased provider LB use rate is associated with reduced ED admissions, STACH admissions, and Opioid prescription fill events among Medicare beneficiaries undergoing HOPD procedures. However, research is lacking to estimate the effect of LB use on mortality, OUD, and total Medicare spending.Using an IPTW propensity score model and associated outcome regressions we find that both LB use and provider LB use rate had a statistically significant impact on reducing total Medicare expenditures per patient per 180-day episode ($245 and $258 respectively, p 

CFU measurements collected with Serratia entompohila strain A1MO2 and Serratia proteamaculans strain AGR96X over a period of seven days when cultured together in LB broth and inoculated at varying ratios. Data includes both the raw colony counts from LB agar plates using antibiotics, the final CFU counts, and log10 transformed CFU counts, which were used in subsequent analysis. The data explores the interactions between two pathogenic Serratia strains of different species in a nutrient rich environment.

This dataset tracks annual diversity score from 1991 to 2023 for L B Yancey Elementary School vs. North Carolina and Vance County Schools School District