cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14651952
title: Global Airport Metal Detectors Market 2024 To 2033

description: Airport Metal Detectors Market Size, Trends and Insights By Type (Explosives, Metal, Narcotics, Radioactivity, Others), By Application (Military, Civil), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

Global Airport Metal Detectors Market was valued at USD 174.5 Million in 2023 and is expected to reach USD 510.6 Million by 2032, at a CAGR of 10.1% during the forecast period 2023 – 2032.

An airport metal detector is a security screening equipment that detects metal items carried by passengers or in their bags. It works by creating a magnetic field and then detecting distractions in that field generated by metal objects.

Airport metal detectors are an important part of airport security procedures designed to avoid the illicit transportation of weapons or other forbidden objects into planes.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=41133
DOI: 10.5281/zenodo.14651953
title: Global Airport Metal Detectors Market 2024 To 2033

description: Airport Metal Detectors Market Size, Trends and Insights By Type (Explosives, Metal, Narcotics, Radioactivity, Others), By Application (Military, Civil), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

Global Airport Metal Detectors Market was valued at USD 174.5 Million in 2023 and is expected to reach USD 510.6 Million by 2032, at a CAGR of 10.1% during the forecast period 2023 – 2032.

An airport metal detector is a security screening equipment that detects metal items carried by passengers or in their bags. It works by creating a magnetic field and then detecting distractions in that field generated by metal objects.

Airport metal detectors are an important part of airport security procedures designed to avoid the illicit transportation of weapons or other forbidden objects into planes.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=41133
DOI: 10.21989/d9/bwklg5/wqolmv
title: out.hrr.events.dqc.sas
DOI: 10.21989/d9/bwklg5/1tmrbx
title: GetIezzoni.sas
DOI: 10.21989/d9/bwklg5/ljecmx
title: toDBF.hsp.dqc.sas
DOI: 10.21989/d9/bwklg5/v92xxy
title: out.hsp.events.dqc.sas
DOI: 10.21989/d9/bwklg5/lwp1ql
title: run.step4.events.dqc.sas
DOI: 10.21989/d9/bwklg5/j1ibwn
title: out.state.extra.2016.sas
DOI: 10.21989/d9/bwklg5/p3j51v
title: ChemoNDC.sas
DOI: 10.21989/d9/bwklg5/qvotwr
title: step1.eolcacohort.dqc.sas
DOI: 10.21989/d9/bwklg5/eugy5e
title: run.modelhsp.dqc.sas
DOI: 10.21989/d9/bwklg5/qdk9en
title: run.1.build.cohort.2016.sas
DOI: 10.21989/d9/bwklg5/y8o4jz
title: run.modelstate.hha.2016.sas
DOI: 10.21989/d9/bwklg5/zmi7pm
title: elixformat2016.sas
DOI: 10.21989/d9/bwklg5/vone7g
title: ICD10Cancer.sas
DOI: 10.21989/d9/bwklg5/msl78i
title: PartDEnroll2016.sas
DOI: 10.21989/d9/bwklg5/033wyk
title: NPIHospital.sas
DOI: 10.21989/d9/bwklg5/iecpv4
title: step5.linkfiles.dqc.sas
DOI: 10.21989/d9/bwklg5/u8qzn5
title: make.modelstate.dqc.sas
DOI: 10.21989/d9/bwklg5/k6nqpc
title: out.state.events.dqc.sas
DOI: 10.21989/d9/bwklg5/7yrrlt
title: toDBF.state.extra.2016.sas
DOI: 10.21989/d9/bwklg5/w5eoyu
title: assignCCS.step2.dqc.sas
DOI: 10.21989/d9/bwklg5/gruq6y
title: out.hsp.extra.2016.sas
DOI: 10.21989/d9/bwklg5/dyedk3
title: run.modelstate.dqc.sas
DOI: 10.21989/d9/bwklg5/huxpni
title: out.hrr.extra.2016.sas
DOI: 10.21989/d9/bwklg5/vnr1pu
title: make.modelhsp.dqc.sas
DOI: 10.21989/d9/bwklg5/y9zmop
title: run.make.hha.2016.sas
DOI: 10.21989/d9/bwklg5/kvw5jt
title: cancerCenters.sas
DOI: 10.21989/d9/bwklg5/6s4dll
title: run.step1.eolcacohort2016.sas
DOI: 10.21989/d9/bwklg5/l6alcp
title: make.modelhrr.dqc.sas
DOI: 10.21989/d9/bwklg5/utwiwa
title: make.L5MIezzoni.dqc.sas
DOI: 10.21989/d9/bwklg5/quew7j
title: run.step1a.ckdups.eolca2016.sas
DOI: 10.21989/d9/bwklg5/wn1is8
title: make.finalHSP.dqc.sas
DOI: 10.21989/d9/bwklg5/wxoq2p
title: compare20122016.sas
DOI: 10.21989/d9/bwklg5/wd8poq
title: ccsICD10.sas
DOI: 10.21989/d9/bwklg5/xydenr
title: run.modelhrr.dqc.sas
DOI: 10.21989/d9/bwklg5/zzy5gw
title: orig.make.finalCCS.dqc.sas
DOI: 10.21989/d9/bwklg5/vitf3t
title: CancerICD10fromCCS.sas
DOI: 10.21989/d9/bwklg5/zamwar
title: add.otheriz.2016.sas
DOI: 10.21989/d9/bwklg5/fkk2c6
title: assignCCS.step1.dqc.sas
DOI: 10.21989/d9/bwklg5/d1l3ou
title: Table_SAS_files_description_05082019.docx
DOI: 10.21989/d9/bwklg5/y7rbtj
title: assignCCS.step2a.dqc.sas
DOI: 10.21989/d9/bwklg5/44xzwa
title: EOLCAHospital2016.tab
DOI: 10.21989/d9/bwklg5/rxnxyi
title: EOLCancer_2016_Data_dictionary.xlsx
DOI: 10.21989/d9/bwklg5/v1aufg
title: EOLCAHospital2016_20191216_UPDATE.tab
DOI: 10.21989/d9/bwklg5/hpnspo
title: EOLCAHospital2016_20191217_UPDATE.tab
DOI: 10.21989/d9/rjbnps
title: Replication Data for: Changes in Use of Postacute Care Associated With Accountable Care Organizations in Hip Fracture, Stroke, and Pneumonia Hospitalized Cohorts

description: &lt;p&gt;&lt;b&gt;Objective:&lt;/b&gt; To examine changes in more and less discretionary
condition-specific postacute care use (skilled nursing, inpatient rehabilitation,
home health) associated with Medicare accountable care
organization (ACO) implementation.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Data Sources:&lt;/b&gt; 2009–2014 Medicare fee-for-service claims.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Study Design:&lt;/b&gt; Difference-in-difference methodology comparing
postacute outcomes after hospitalization for hip fracture and stroke
(where rehabilitation is fundamental to the episode of care) to
pneumonia, (where it is more discretionary) for beneficiaries attributed
to ACO and non-ACO providers.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Principal Findings:&lt;/b&gt; Across all 3 cohorts, in the baseline period
ACO patients were more likely to receive Medicare-paid postacute
care and had higher episode spending. In hip fracture patients where
rehabilitation is standard of care, ACO implementation was associated
with 6%–8% increases in probability of admission to a skilled
nursing facility or inpatient rehabilitation (compared with home
without care), and a slight reduction in readmissions. In a clinical
condition where rehabilitation is more discretionary, pneumonia,
ACO implementation was not associated with changes in postacute
location, but episodic spending decreased 2%–3%. Spending decreases
were concentrated in the least complex patients. Across all
cohorts, the length of stay in skilled nursing facilities decreased with
ACO implementation.&lt;/p&gt;
DOI: 10.21989/d9/brnohi
title: Replication Data for: Long-term Reintervention After Endovascular Abdominal Aortic Aneurysm Repair

description: &lt;p&gt;&lt;b&gt;Objective:&lt;/b&gt; To describe the long-term reintervention rate after endovascular abdominal aortic aneurysm repair (EVR), and identify factors predicting reintervention.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Summary of Background Data:&lt;/b&gt; EVR is the most common method of aneurysm repair in America, and reintervention after EVR is common. Clinical factors predicting reintervention have not been described in large datasets with long-term follow-up.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Methods:&lt;/b&gt; We studied patients who underwent EVR using the Vascular Quality Initiative registry linked to Medicare claims. Our primary outcome was reintervention, defined as any procedure related to the EVR after discharge from the index hospitalization. We used classification and regression tree modeling to inform a multivariable Cox-regression model predicting reintervention after EVR.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Results: &lt;/b&gt;We studied 12,911 patients treated from 2003 to 2015. Mean age was 75.5 ± 7.3 years, 79.9% were male, and 89.1% of operations were elective. The 3-year reintervention rate was 15%, and the 10-year rate was 33%. Five factors predicted reintervention: operative time ≥3.0 hours, aneurysm diameter ≥6.0 cm, an iliac artery aneurysm ≥2.0 cm, emergency surgery, and a history of prior aortic surgery. Patients with no risk factors had a 3-year reintervention rate of 12%, and 10-year rate of 26% (n = 7310). Patients with multiple risk factors, such as prior aortic surgery and emergent surgery, had a 3-year reintervention rate 72%, (n = 32). Modifiable factors including EVR graft manufacturer or supra-renal fixation were not associated with reintervention (P = 0.76 and 0.79 respectively).&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Conclusions:&lt;/b&gt; All patients retain a high likelihood of reintervention after EVR, but clinical factors at the time of repair can predict those at highest risk.&lt;/p&gt;
DOI: 10.21989/d9/fld4y3
title: Replication Data for: Measuring racial segregation in health system networks using the dissimilarity index.

description: Racial disparities in the end-of-life treatment of patients are a well observed fact of the U.S. healthcare system. Less is known about how the physicians treating patients at the end-of-life influence the care received. Social networks have been widely used to study interactions with the healthcare system using physician patient-sharing networks. In this paper, we propose an extension of the dissimilarity index (DI), classically used to study geographic racial segregation, to study differences in patient care patterns in the healthcare system. Using the proposed measure, we quantify the unevenness of referrals (sharing) by physicians in a given region by their patients' race and how this relates to the treatments they receive at the end-of-life in a cohort of Medicare fee-for-service patients with Alzheimer's disease and related dementias. We apply the measure nationwide to physician patient-sharing networks, and in a sub-study comparing four regions with similar racial distribution, Washington, DC, Greenville, NC, Columbus, GA, and Meridian, MS. We show that among regions with similar racial distribution, a large dissimilarity index in a region (Washington, DC DI = 0.86 vs. Meridian, MS DI = 0.55), which corresponds to more distinct referral networks for black and white patients by the same physician, is correlated with black patients with Alzheimer's disease and related dementias receiving more aggressive care at the end-of-life (including ICU and ventilator use), and less aggressive quality care (early hospice care).
DOI: 10.15468/dl.w29vku
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is one of (Hippopotamus amphibius etrusquus, Hippopotamus amphibius Linnaeus, 1758, Hippopotamus amphibius standini (Monnier & Lamberton, 1922), Hippopotamus amphibius capensis Desmoulins, 1825, Hippopotamus amphibius amphibius, Hippopotamus amphibius kiboko Heller, 1914)",
 "Year 2000-2025"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070672-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u5cnwj
title: Occurrence Download

description: A dataset containing 1375 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "OccurrenceStatus is Present",
 "TaxonKey is Baccha elongata (Fabricius, 1775)",
 "Year 2000-2025"
 ]
}

 The dataset includes 1375 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070669-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21989/d9/vje2zm
title: Technical Report: A Standardized Method for Adjusting Medicare Expenditures for Regional Differences in Prices

description: &lt;p&gt;Per capita Medicare spending is more than twice as high in New York City and Miami than in places like Salem, Oregon. How much of these differences can be explained by Medicare’s paying more to compensate for the higher cost of goods and services in such areas? To answer this question, we analyzed Medicare spending after adjusting for local price differences in 306 Hospital Referral Regions. The priceadjustment analysis resulted in less variation in what Medicare pays regionally, but not much. The findings suggest that utilization—not local price differences—drives Medicare regional payment variations, along with special payments for medical education and care for the poor.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;NOTE updated report in 2018&lt;/b&gt;&lt;/p&gt;
DOI: 10.21989/d9/2uxqwj
title: Replication Data for: Estimates of ACO savings in the presence of provider and beneficiary selection

description: &lt;p&gt;&lt;b&gt;Background:&lt;/b&gt; Medicare’s accountable care organizations (ACOs)—designed to improve quality and lower spending—were associated with growing savings in previous studies. However, savings estimates may be biased by beneficiary sorting among providers based on healthcare needs and by providers opting into the program based on anticipated gains.&lt;/p&gt;
 
&lt;p&gt;&lt;b&gt;Methods:&lt;/b&gt; Using Medicare administrative claims (2009–2014), we compared annual spending changes after provider organizations joined ACOs to changes in non-ACOs (controls). To address provider selection, using novel data to identify non-ACO organizations, we restricted controls to comparably large provider organizations. To address beneficiary selection, we (a) estimated within-organization (including non-ACO comparison organizations) spending changes, (b) estimated within-beneficiary spending changes, (c) incorporated beneficiaries without qualifying healthcare expenses, and (d) used a fixed beneficiary ACO assignment using the pre-ACO period.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Results:&lt;/b&gt; Each year, 19% of Medicare beneficiaries switched provider organizations. Spending was higher for switchers than stayers ($3163, p &lt;.001) and grew more the next year ($2004; p &lt;.001). Starting from a baseline regression modeled on previous ACO evaluations, estimated savings varied widely as we sequentially introduced methods to address selection. Combining methods, however, generated more stable estimated ACO savings of $46 (p =.022), averaged across cohorts.&lt;/p&gt;
 
&lt;p&gt;&lt;b&gt;Conclusions:&lt;/b&gt; When implementing a comprehensive suite of methods to adjust for provider and beneficiary selection, we estimated ACO savings that grew over time. Our estimates are in line with, but smaller than, previous estimates in the literature. Implementing piecemeal adjustments produced misleading results. Implications: Our results confirm the importance of selection for savings estimates and for provider organizations managing costs and quality. Attribution rules that consider multiple years may help mitigate the impact of beneficiary churn for providers and payers. Implementing payment reform by randomizing early participants, or implementing fully across selected markets, may better serve efforts to evaluate and improve payment models.&lt;/p&gt;

&lt;p&gt;Level of evidence: Level 3.&lt;/p&gt;
DOI: 10.21989/d9/2uxqwj/5g6hci
title: Ouayogode Estimates.pdf

description: Published article of paper
DOI: 10.5281/zenodo.14651978
title: pennsylvanicus

description: Full set of scoring sheets for male-male interactions with Gryllus pennsylvanicus individuals
DOI: 10.5281/zenodo.14651979
title: pennsylvanicus

description: Full set of scoring sheets for male-male interactions with Gryllus pennsylvanicus individuals
DOI: 10.21989/d9/2uxqwj/wvhtcv
title: Replication_codes_ACO_selection_08312020.do
DOI: 10.21989/d9/47pw6x
title: Organizational integration, practice capabilities, and outcomes in clinically complex Medicare beneficiaries

description: &lt;p&gt;&lt;b&gt;Objective:&lt;/b&gt; To assess the association between clinical integration and financial integration, quality‐focused care delivery processes, and beneficiary utilization and outcomes.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Data Sources:&lt;/b&gt; Multiphysician practices in the 2017‐2018 National Survey of Healthcare Organizations and Systems (response rate 47%) and 2017 Medicare claims data.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Study Design:&lt;/b&gt; Cross‐sectional study of Medicare beneficiaries attributed to physician practices, focusing on two domains of integration: clinical (coordination of patient services, use of protocols, individual clinician measures, access to information) and financial (financial management and planning across operating units). We examined the association between integration domains, the adoption of quality‐focused care delivery processes, beneficiary utilization and health‐related outcomes, and price‐adjusted spending using linear regression adjusting for practice and beneficiary characteristics, weighting to account for sampling and nonresponse.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Data Collection/Extraction Methods:&lt;/b&gt; 1 604 580 fee‐for‐service Medicare beneficiaries aged 66 or older attributed to 2113 practices. Of these, 414 209 beneficiaries were considered clinically complex (frailty or 2 + chronic conditions).
Principal Findings: Financial integration and clinical integration were weakly correlated (correlation coefficient = 0.19). Clinical integration was associated with significantly greater adoption of quality‐focused care delivery processes, while financial integration was associated with lower adoption of these processes. Integration was not generally associated with reduced utilization or better beneficiary‐level health‐related outcomes, but both clinical integration and financial integration were associated with lower spending in both the complex and noncomplex cohorts: (clinical complex cohort: ‐$2518, [95% CI: −3324, −1712]; clinical noncomplex cohort: ‐$255 [95% CI: −413, −97]; financial complex cohort: ‐$997 [95% CI: ‐$1320, ‐$679]; and financial noncomplex cohort: ‐$143 [95% CI: −210, ‐$76]).&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Conclusions:&lt;/b&gt; Higher levels of financial integration were not associated with improved care delivery or with better health‐related beneficiary outcomes. Nonfinancial forms of integration deserve greater attention, as practices scoring high in clinical integration are more likely to adopt quality‐focused care delivery processes and have greater associated reductions in spending in complex patients.&lt;/p&gt;
DOI: 10.21989/d9/47pw6x/fok6cn
title: Step5_significance.do
DOI: 10.21989/d9/47pw6x/ycvjuu
title: Step6_appendices.do
DOI: 10.21989/d9/47pw6x/jge62u
title: Step1_cohort.do
DOI: 10.21989/d9/47pw6x/lxfdrv
title: Step4_regressions.do
DOI: 10.21989/d9/47pw6x/59dpjc
title: Step3_descriptives.do
DOI: 10.21989/d9/47pw6x/wlb4lx
title: Step2_outcomevariables.do
DOI: 10.21989/d9/em1mry
title: Instructions for calculating health system outcomes measures among Medicare beneficiaries receiving care in AHRQ Compendium health systems

description: At The Dartmouth Institute for Health Policy and Clinical Practice, we have created a set of instructions for researchers to recreate a set of selected patient outcomes measured among health systems’ adult Medicare fee-for-service beneficiaries. The foundation of these measures is health care utilization submitted under the Centers for Medicare and Medicaid Services’ (CMS’) Medicare program. We have rolled these up to the health system level, profiling those systems included in the Agency for Healthcare Research and Quality’s (AHRQ’s) Compendium of U.S. Health Systems: https://www.ahrq.gov/chsp/data-resources/compendium.html. 
Using a combination of CMS Medicare claims data, publicly available health measures (e.g., the Prevention Quality Index [PQI]) and commercially available health system organizational data from IQVIA, these SAS programs build these broad cohorts, assign them to health systems per year and calculate measures (e.g., 30-day hospital readmission). The result is a dataset of health system measures that can be linked back to the annual Compendium files available from AHRQ.
description: Waiver: Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation above, generated by the Dataverse.
DOI: 10.15468/dl.sjxzj4
title: Occurrence Download

description: A dataset containing 12997 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Carabus auronitens Fabricius, 1792"
 ]
}

 The dataset includes 12997 records from 251 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070674-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fsj5mx
title: Occurrence Download

description: A dataset containing 7374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carabus intricatus Linnaeus, 1760",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 7374 records from 234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070671-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqd7t7
title: Occurrence Download

description: A dataset containing 19297 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Campsicnemus Haliday, 1851"
 ]
}

 The dataset includes 19297 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070670-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21989/d9/wtn5fr
title: Intensity of Use and Regional Variation in Fracture-Associated Prescription Drug Use and Hip Fractures in Long-Term Care

description: &lt;p&gt;Among older adults, common efforts to assess polypharmacy (multiple medications) often focus on simple drug count. Our past work exploring receipt of fracture-associated drugs (FADs) and fractures suggests specific drug combinations may matter more than absolute drug count. To extend this previous work, we measure FAD and concurrent FAD receipt for a population particularly vulnerable to adverse drug effects—elderly living in long-term care (LTC). We quantify FAD exposure in this population and compare it with the community-dwelling population to begin exploring an important potentially avoidable risk. We demonstrated that intensity of FAD exposure in LTC is twice that of community-dwelling Medicare beneficiaries.(JGIM 2020) &lt;/p&gt;
&lt;p&gt;To advance knowledge of the impact of intense prescribing as potential iatrogenic risk, we explore regional variation of prescription drug use intensity and its association with hip fracture rates among LTC residents. We examined intensity of prescription use categorized as total, or FAD and non-FAD in LTC beneficiaries across Hospital Referral Regions (HRRs), and we assess the association between this intensity and hip fracture rates. Among Medicare beneficiaries, FAD use in LTC setting varies substantially across US regions, and higher use is associated with hip fracture risk. These findings should prompt exploration of the drivers of both high and low intensity prescribing and should inform development of interventions aimed at maximizing prescribing quality and minimizing harm potentially conferred by FADs.(JGIM 2021)&lt;/p&gt;