In January 2024, ** percent of Jewish respondents in Israel believed that there was a common set of values and understandings shared by most Israelis. This amounts to a ** percentage point increase from a previous survey conducted in June 2023. In comparison, only ** percent of Arab respondents agreed that there was such a consensus in January 2024, a decline of ** percentage points from June 2023. Following the Israel-Hamas war, which started on October 7th, 2023, public sentiment on a 'national consensus' among Jews and Arabs in Israel diverged significantly.

The Consensus CDS (CCDS) project is a collaborative effort to identify a core set of human and mouse protein coding regions that are consistently annotated and of high quality. The long term goal is to support convergence towards a standard set of gene annotations.

This database consists of those national and international standards recognized by FDA which manufacturers can declare conformity to and is part of the information the Center can use to make an appropriate decision regarding the clearance or approval of a submission. Information submitted on conformance with such standards will have a direct bearing on safety and effectiveness determinations made during the review of IDEs, HDEs, PMAs, and PDPs. Conformance with recognized consensus standards in and of itself, however, may not always be a sufficient basis for regulatory decisions.

Methadone is an effective analgesic with unique pharmacokinetic and pharmacodynamic variables. There is no national consensus on methadone equianalgesia tools. Our study aimed to compare methadone equianalgesic tools from various national institutions with the primary objective to summarize current practice and secondary objective to determine if a national consensus can be established. Out of 25 institutional methadone equianalgesic tools reviewed, 18 contained sufficient data and were included in this study. Fifteen (15) of the institution evaluated tools utilized a wide variety of dose-dependent modalities for methadone conversion with the hospice and palliative care (HAPC) Consensus method being the most common. Based on the variability of the equianalgesia tools evaluated in this study, we were unable to recommend a consensus methadone conversion method. Further trials exploring methadone equianalgesia beyond our study are needed.

ABSTRACT Significant advances in the understanding and management of Duchenne muscular dystrophy (DMD) took place since international guidelines were published in 2010. Our objective was to provide an evidence-based national consensus statement for multidisciplinary care of DMD in Brazil. A combination of the Delphi technique with a systematic review of studies from 2010 to 2016 was employed to classify evidence levels and grade of recommendations. Our recommendations were divided in two parts. We present Part 1 here, where we describe the guideline methodology and overall disease concepts, and also provide recommendations on diagnosis, steroid therapy and new drug treatment perspectives for DMD. The main recommendations: 1) genetic testing in diagnostic suspicious cases should be the first line for diagnostic confirmation; 2) patients diagnosed with DMD should have steroids prescribed; 3) lack of published results for phase 3 clinical trials hinders, for now, the recommendation to use exon skipping or read-through agents.

Supporting datasets and algorithms (R-based) for the manuscript entitled "Development of a Tool to Determine the Variability of Consensus Mass Spectra", including an R Markdown script to reproduce the manuscript's figures.

Although evidence supports diverse assessment strategies, including patient/caregiver involvement in Competency-Based Medical Education (CBME), few residency programs formally include patients/caregivers in assessment. We aimed to determine the milestones for which patient/caregiver inclusion would be valuable in the Canadian Pediatric Competence By Design (CBD) curriculum. Program directors from 17 Canadian pediatric residency programs were invited to participate in a Delphi study. This Delphi included 209 milestones selected by the study team from the 320 milestones of the draft pediatric CBD curriculum available at the time of the study. In round 1, 16 participants representing 13 institutions rated the value of including patients/caregivers in the assessment of each milestone using a 4-point scale. We obtained consensus for 150 milestones, leaving 59 for re-exposure. In round 2, 14/16 participants rated remaining items without consensus. Overall, 67 milestones met consensus for ‘valuable,’ of which 11 met consensus for ‘extremely valuable.’ The majority of these milestones related to communication skills. Patient/caregiver assessment is valuable for 21% of milestones in the draft pediatric CBD curriculum, predominantly those relating to communication skills. This confirms the perceived importance of patient/caregiver assessment of trainees in CBME curricula; formal inclusion may be considered. Future directions could include exploring patients/caregivers’ perspectives of their roles in assessment in CBD.

Browse LSEG's Consensus Bullish Sentiment Index and find unique sentiment index indicators for the commodities market.

The United States Environmental Protection Agency (U.S. EPA) must characterize potential risks to human health and the environment associated with manufacture and use of thousands of chemicals. High-throughput screening (HTS) for biological activity allows the ToxCast research program to prioritize chemical inventories for potential hazard. Similar capabilities for estimating exposure potential would support rapid risk-based prioritization for chemicals with limited information; here, we propose a framework for high-throughput exposure assessment. To demonstrate application, an analysis was conducted that predicts human exposure potential for chemicals and estimates uncertainty in these predictions by comparison to biomonitoring data. We evaluated 1936 chemicals using far-field mass balance human exposure models (USEtox and RAIDAR) and an indicator for indoor and/or consumer use. These predictions were compared to exposures inferred by Bayesian analysis from urine concentrations for 82 chemicals reported in the National Health and Nutrition Examination Survey (NHANES). Joint regression on all factors provided a calibrated consensus prediction, the variance of which serves as an empirical determination of uncertainty for prioritization on absolute exposure potential. Information on use was found to be most predictive; generally, chemicals above the limit of detection in NHANES had consumer/indoor use. Coupled with hazard HTS, exposure HTS can place risk earlier in decision processes. High-priority chemicals become targets for further data collection.

A python module for consensus analysis in interlaboratory studies

This Ruby module is an example implementation of the decision rules for consensus from the paper "Measuring social consensus."

The present Dataset is related to a study on "A multi-method approach to drafting candidate entrustable professional activities for a general internal medicine residency programme" and include :

The "Voting sheet model" used for the 1st round of voting according to the RAND appropriateness method

The tables of aggregate results after round 1 and after round 2 of the RAND appropriateness method, with subgroup analysis

A document describing which items where chosen to be included in round 2 of voting and why (file name "Summary_Decisions_.....")

The list of candidate EPA (Entrustable Professional Activities) selected after 2 round of rating by the expert panel. This list of 225 EPA had not yet undergone the quality check using the EQual-Criteria (DOI: 10.1097/ACM.0000000000001908)

Methods: We set up a multi-step approach including a systematic review of the international literature; four national focus groups; a national consensus process using a RAND appropriateness method and a quality check of the selected candidate EPAs using Equal criteria.

Results: These steps generated a final list of 247 candidate EPAs in GIM that were submitted for the national consensus process. After two rounds of rating, experts agreed on the appropriateness for the GIM postgraduate training of 225 of the candidate EPAs. Twenty-two of the proposed EPAs were deemed inappropriate and disagreement persisted only for two EPAs.

General description of the data set :

o Nature: aggregated, analysed data

o Mode of collection: experimental

o Format: unstructured text, database

Helen Dean, Director of Product and Policy Development at Personal Accounts Delivery Authority (2009-2010) and current NEST CEO shares her views on the reform process, including the application of behavioural economics to pension policy and consensus-building towards the creation of a national pensions savings scheme (currently National Employment Savings Trust)

There are three exhaustive and mutually exclusive models that characterize legislatures: the government (or majority party) dominated, the consensual, and the chaotic model. Each model provides a different answer to the following question: does the government control the policymaking process in national legislatures? These three models are implicit in the political science literature but are rarely made explicit. In government dominated legislatures the governing party monopolizes lawmaking. In consensual legislatures policy outcomes are the result of bargaining and compromise between the legislative majority (or government) and parties in the opposition. In chaotic legislatures, no party has the ability to bring order to the process. When the government alone has “blocking power” (typically through control of the plenary agenda), I view the legislature as government or majority party dominated. Government or majority monopolization of the agenda is referred to as the cartel agenda model by Cox and McCubbins (1991, 2005). If, however, blocking power is shared by government and opposition parties, I will show that consensus results. When blocking powers are absent, a disciplined majority party will still be able to dominate law making; thus, I will show that discipline can substitute blocking power (and vice-versa). By contrast, when blocking power and discipline are both absent, chaos reigns. My goal is to formulate explicit models for each of these three legislative models, derive testable predictions from each, with emphasis on predictions about legislative output that differentiates each model. I will then analyze large data sets on legislative voting for several countries in order to discriminate among those three models in each case. I emphasize three major empirical findings. First, legislative data from most contemporary democratic legislatures i s consistent with the government or majority party dominated model - even data from legislative assemblies that are most often described as consensual, such as the German Bundestag, or universalistic, such as the United States House of Representatives. Second, despite the commonly held belief that responsible party government cannot exist without disciplined or cohesive parties, legislative data suggests that governments in countries with undisciplined parties (such as Italy o r the United States) exercise responsible party government through blocking (agenda) power. Third, I use the models to analyze how legislatures change and evolve. Divided government provides opposition parties greater access to blocking power and therefore, legislatures that are consistent with the government dominated model during periods of unified party control are consistent with the consensual model during divided government. I will also show that legislative voting data i s consistent with the chaos model throughout the early stages of democratic legislatures but, by the time the legislature is institutionalized, the data evidences a government dominated or consensual model. It is at this point that responsible party government emerges.

This database seeks to identify a core set of human and mouse protein coding regions of high quality that are consistently annotated.

As part of the preparation of the Federal Waste Management Plan (BAWP) 2006, a consensus-building process was initiated to develop a national waste prevention and recycling strategy. The aim of this process was to develop a recommendation, with the participation of national waste management experts, which waste prevention and recycling measures should be included in the FWMP 2006.

This repository contains supporting materials for "Widespread use of National Academies consensus reports by the American public." This includes (1) a table providing detailed information on each category into which comments left on NASEM reports were classified; (2) Python scripts for BERT implementation and associated *yml file; (3) BERT output files and model weights for 6-category and 64-category classification of user comments. This includes a compressed file containing the necessary: *.json, *.bin and vocab.txt files to use model weights for scientific replication. The specific file names are: config.json, special_tokens_map.json, tokenizer_config.json, vocab.txt, pytorch_model.bin

Decisions in international institutions such as the European Union (EU) are often made by consensus, even when it is not required. Tit-for-tat exchanges provide an explanation for this phenomenon, as such exchanges can help to build up support for agreements states might otherwise not have had an incentive to support. Tit-for-tat exchanges are typically analyzed as trades of support across agreements. However, we argue that the priority of negotiators to further their national and bureaucratic interests makes exchanges across micro-level issues within a single proposal for agreement more prevalent than exchanges across agreements. Using both qualitative and quantitative analyses, we show that such within-agreement, rather than cross-agreement, linkages are related to an increased likelihood of consensus across an array of different EU agreements. To understand consensus in international institutions, more broadly, it is therefore necessary to look at the substantive issues at stake within each agreement.

U.S. Chronic Disease Indicators

  Description

CDC's Division of Population Health provides a cross-cutting set of 115 indicators developed by consensus among CDC, the Council of State and Territorial Epidemiologists, and the National Association of Chronic Disease Directors. These indicators allow states and territories to uniformly define, collect, and report chronic disease data that are important to public health practice in their area. In addition to providing access… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/us-chronic-disease-indicators.

The dataset originates from the publication "Long-term group membership and dynamics in a wild western lowland gorilla population (Gorilla gorilla gorilla) inferred using non-invasive genetics" (Hagemann et al., 2018) and was utilized in" Long-term inference of population size and habitat use in a socially dynamic population of wild western lowland gorillas" (Hagemann et al., 2019). It comprises 98 western lowland gorilla consensus genotypes (13 microsatellite loci plus sexing).