Robert F. Kennedy Jr. says President-elect Trump wants "measurable impacts" toward ending chronic disease within two years. About 60% of Americans suffer from at least one chronic disease.

[Economy] :
Finance Minister Choi Sang-mok said Thursday that the government will take “active measures” in the event of excessive volatility in the foreign exchange market, as the South Korean won weakened past the psychological threshold of 14-hundred won against the U.S. dollar. The minister made the “verbal ...

[more...]

EagleView Technologies, the leader in 3D aerial roof measurements, offers a mobile app optimized for your iPad or Tablet.

TASHKENT, 7 April 2016 – The implementation of traffic management and effective road safety measures were the focus of an OSCE-supported roundtable discussion for some 40 representatives of the Interior Ministry, Parliament, state agencies, media and civil society, and a two-day seminar for 25 traffic police officers, held in Tashkent from 5 to 7 April. 

The roundtable saw discussions focus on the measures Uzbekistan has been taking in implementing the state programme on traffic safety and ways to strengthen road traffic security. Three experts from Turkey and Serbia shared best practices on traffic management, public awareness campaigns and road safety measures implemented in their countries. Special emphasis was put on the importance of effective communication between different stakeholders with the overall aim of preventing traffic accidents and promoting good practices.

“It is important to maintain a constructive dialogue between different stakeholders involved in implementing newly-adopted regulations aimed at enhancing the efficiency of traffic-safety measures and raising awareness among the population about road-related risks,” said Nataša Rašić, Acting OSCE Project Co-ordinator in Uzbekistan.

Following the roundtable discussion, officers from the Interior Ministry’s Traffic Safety Police Department enhanced their knowledge during a seminar about best practices in enforcing traffic regulations. The experts from Turkey and Serbia provided a comprehensive overview of the road safety situation in their countries while highlighting the advantages of integrated road systems and new technologies in road safety, including the video control of roads.

The seminar’s participants also exchanged views on new methods of traffic police training and stressed the importance of improving driver education as well as the procedures for granting driver’s licences.

The events were organized in co-operation with the Interior Ministry as part of a joint project aimed at improving the efficiency of traffic safety measures in Uzbekistan.

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The SILENTSHIELD red team assessment has highlighted the urgent need for enhanced cyber resilience within federal agencies.

The post CISA’s SILENTSHIELD assessment requires urgent measures first appeared on Federal News Network.

The roughly six-hour flyby in 1986 revealed Uranus' protective magnetic field was strangely empty. Now, researchers say that the data could have been affected by a solar wind event

Delhi's air quality remained in the 'severe' category for a second day on Thursday, with low wind speed contributing to a thick fog layer across the national capital.

Physicists at the GSI/FAIR accelerator facility have gained insights into the structure of atomic nuclei of fermium, a synthetic chemical element of the actinoid series with atomic number 100.

The post Physicists Measure Nuclear Properties of Fermium appeared first on Sci.News: Breaking Science News.

Rural demand now comprises 21% of Hyundai’s total sales, up from 18.5% two years ago, said Tarun Garg

A comprehensive guide on CSAT, including how to measure it and how it stacks up against other CX metrics.

Building brand trust creates loyal customers, inspires advocacy and drives lasting growth. By going beyond standard metrics, trust captures deeper connections.

MacNaughton, R B. Geological Survey of Canada, Open File 7315, 2020, 22 pages, https://doi.org/10.4095/327237
<a href="https://geoscan.nrcan.gc.ca/images/geoscan/gid_327237.jpg"><img src="https://geoscan.nrcan.gc.ca/images/geoscan/gid_327237.jpg" title="Geological Survey of Canada, Open File 7315, 2020, 22 pages, https://doi.org/10.4095/327237" height="150" border="1" /></a>

Handkamer, N M. Geological Survey of Canada, Open File 8741, 2020, 50 pages, https://doi.org/10.4095/326951
<a href="https://geoscan.nrcan.gc.ca/images/geoscan/gid_326951.jpg"><img src="https://geoscan.nrcan.gc.ca/images/geoscan/gid_326951.jpg" title="Geological Survey of Canada, Open File 8741, 2020, 50 pages, https://doi.org/10.4095/326951" height="150" border="1" /></a>

MacNaughton, R B. Geological Survey of Canada, Open File 8771, 2021, 39 pages, https://doi.org/10.4095/328118
<a href="https://geoscan.nrcan.gc.ca/images/geoscan/gid_328118.jpg"><img src="https://geoscan.nrcan.gc.ca/images/geoscan/gid_328118.jpg" title="Geological Survey of Canada, Open File 8771, 2021, 39 pages, https://doi.org/10.4095/328118" height="150" border="1" /></a>

Midwinter, D; Hadlari, T; Dewing, K. Geological Survey of Canada, Open File 8855, 2022, 17 pages, https://doi.org/10.4095/329398
<a href="https://geoscan.nrcan.gc.ca/images/geoscan/gid_329398.jpg"><img src="https://geoscan.nrcan.gc.ca/images/geoscan/gid_329398.jpg" title="Geological Survey of Canada, Open File 8855, 2022, 17 pages, https://doi.org/10.4095/329398" height="150" border="1" /></a>

Brad Feld, venture capitalist at Mobius Venture Capital and perhaps well-known locally here in Dallas because of the EDS acquisition of the The Feld Group, has a great perspective on measurements. I'm blue in the face from my recent, numerous discussions on the subject. My immediately prior two posts (here and here) are very closely related to the same core subject on reporting and measurements.

A couple of key things in Brad's post that I resonate with are focusing on synthesis, reacting, and not getting lost in the numbers. Sometimes I get nauseous when I recommend to clients that there be more measurements as part of core business foundation, yet I can see that their faces read, "you want me to provide more numbers????".

Steve Shu Managing Director S4 Management Group Email: sshu@s4management.com Web: http://www.s4management.com

Why does qualifying for a small business loan have to be such a mystery?

According to a CB Insights study, cash flow issues are the second most common reason startups fail, accounting for 29% of failures. In many cases, access to capital would make a big difference. Yet the loan application process is notoriously opaque for small business owners. Research from the Federal Reserve Bank of New York shows the average small business owner spent 26 hours searching and applying for credit, contacted three financial institutions and submitted three credit applications. Despite this time-consuming work, only half of small-business applicants end up being approved for the loan amount they applied for.

complete article

Above 50?..IQs are important to observe your mental development!

(Telecompaper) Samsung Electronics has announced new methodology for measuring the emissions and reductions linked to the use-phase of internet-connected electronic devices...

Jesus was: A) a Jew; B) a Samaritan; C) All off the above? Fr John, speaking at St Paisios Mission/Yuma, Arizona, explains.

Fr. Michael Gillis reminds us that our salvation lies in living humbly within our measure, pushing a little during lent, perhaps, but always judging ourselves unworthy of a higher or stricter measure. This kind of fasting will be to our spiritual benefit.

Fr. Apostolos speaks from the Gospel of St. John, chapter 3, "For God so loved the world...," exhorting us that "love alone is the surety of our doctrinal purity."

As we begin the pre-Lenten Sunday readings, the parable of the Pharisee and Tax Collector reminds us that the only true measure of our holiness is God Himself.

Fr. Christopher gives the sermon on St. Mary of Egypt who was prepared to follow Christ, in the company of the saints, wherever that took her. May we have the grace to do the same.

Fr. Pat explores three ways of looking at Protagoras's infamous assertion.

Fr. Pat preaches on Ephesians 4:7-13 in this homily from January 2016.

Runnymede Borough Council says it plans solar panels and insulation for 169 properties.

Unite Highland Care has been told to urgently improve by the Care Quality Commission.

The operation of supply chain finance faces various risks, therefore, studying the operational risks of supply chain finance and corresponding preventive measures is of great significance. Firstly, classify the types of operational risks in supply chain finance. Secondly, based on the risk classification results, the decision tree method is used to evaluate the operational risks of supply chain finance. Finally, based on the risk assessment results, targeted risk prevention measures for supply chain finance operations are proposed, such as strengthening supplier management, optimising logistics and warehouse management, risk analysis and monitoring, and strengthening information security and data protection. The case analysis results show that the accuracy of the evaluation results of this method is higher, and the risk coefficient has been significantly reduced after applying this method, indicating that it can effectively reduce supply chain risk.

In order to reduce the challenges encountered by learners and educators in engaging in educational activities, this paper classifies learners' roles in virtual learning communities, and explores the role of behaviour characteristics and their positions in collaborative knowledge construction networks in promoting the process of knowledge construction. This study begins with an analysis of the relationship structure among learners in the virtual learning community and then applies the FCM algorithm to arrange learners into various dimensional combinations and create distinct learning communities. The test results demonstrate that the FCM method performs consistently during the clustering process, with less performance oscillations, and good node aggregation, the ARI value of the model is up to 0.90. It is found that they play an important role in the social interaction of learners' virtual learning community, which plays a certain role in promoting the development of artificial intelligence.

As IOT develops drastically these years, the application of cloud computing in many fields has become possible. In this paper, we take low-voltage current transformers in power systems as the research object and propose a TCN-BI-GRU power measurement method that incorporates the signal characteristics based on the transformer input and output. Firstly, the basic signal enhancement extraction of input and output is completed by using EMD and correlation coefficients. Secondly, multi-dimensional feature extraction is completed to improve the data performance according to the established TCN network. Finally, the power prediction is completed by using BI-GRU, and the results show that the RMSE of this framework is 5.69 significantly lower than other methods. In the laboratory test, the device after being subjected to strong disturbance, its correlation coefficient feature has a large impact, leading to a large deviation in the prediction, which provides a new idea for future intelligent prediction.

Aim/Purpose: The study aims to supplement existing knowledge of information systems by presenting empirical data on the factors influencing the intentions of doctoral students to learn through online platforms. Background: E-learning platforms have become popular among students and professionals over the past decade. However, the intentions of the doctoral students are not yet known. They are an important source of knowledge production in academics by way of teaching and research. Methodology: The researchers collected data from universities in the Delhi National Capital Region (NCR) using a survey method from doctoral students using a convenience sampling method. The model studied was the Technology Readiness and Acceptance Model (TRAM), an integration of the Technology Readiness Index (TRI) and Technology Acceptance Model (TAM). Contribution: TRAM provides empirical evidence that it positively predicts behavioral intentions to learn from online platforms. Hence, the study validated the model among doctoral students from the perspective of a developing nation. Findings: The model variables predicted 49% of the variance in doctoral students’ intent. The TRAM model identified motivating constructs such as optimism and innovativeness as influencing TAM predictors. Finally, doctoral students have positive opinions about the usefulness and ease of use of online learning platforms. Recommendations for Practitioners: Academic leaders motivate scholars to use online platforms, and application developers to incorporate features that facilitate ease of use. Recommendation for Researchers: Researchers can explore the applicability of TRAM in other developing countries and examine the role of cultural and social factors in the intent to adopt online learning. Future Research: The influence of demographic variables on intentions can lead to additional insights.

This research aims to establish a valid and accurate measurement scale and identify consumer-driven characteristics for minimalism. The study has employed a hybrid approach to produce items for minimalism. Expert interviews were conducted to identify the items for minimalism in the first phase followed by consumer survey to obtain their response in second phase. A five-point Likert scale was used to collect the data. Further, data was subjected to reliability and validity check. Structural equation modelling was used to test the model. The findings demonstrated that there are five dimensions by which consumers perceive minimalism: decluttering, mindful consumption, aesthetic choices, financial freedom, and sustainable lifestyle. The outcome also revealed a high correlation between simplicity and well-being. This study is the first to provide a reliable and valid instrument for minimalism. The results will have several theoretical and practical ramifications for society and policymakers. It will support policymakers in gauging and encouraging minimalistic practices, which enhance environmental performance and lower carbon footprint.

Aim/Purpose: The aim of this study was to analyze various performance metrics and approaches to their classification. The main goal of the study was to develop a new typology that will help to advance knowledge of metrics and facilitate their use in machine learning regression algorithms Background: Performance metrics (error measures) are vital components of the evaluation frameworks in various fields. A performance metric can be defined as a logical and mathematical construct designed to measure how close are the actual results from what has been expected or predicted. A vast variety of performance metrics have been described in academic literature. The most commonly mentioned metrics in research studies are Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), etc. Knowledge about metrics properties needs to be systematized to simplify the design and use of the metrics. Methodology: A qualitative study was conducted to achieve the objectives of identifying related peer-reviewed research studies, literature reviews, critical thinking and inductive reasoning. Contribution: The main contribution of this paper is in ordering knowledge of performance metrics and enhancing understanding of their structure and properties by proposing a new typology, generic primary metrics mathematical formula and a visualization chart Findings: Based on the analysis of the structure of numerous performance metrics, we proposed a framework of metrics which includes four (4) categories: primary metrics, extended metrics, composite metrics, and hybrid sets of metrics. The paper identified three (3) key components (dimensions) that determine the structure and properties of primary metrics: method of determining point distance, method of normalization, method of aggregation of point distances over a data set. For each component, implementation options have been identified. The suggested new typology has been shown to cover a total of over 40 commonly used primary metrics Recommendations for Practitioners: Presented findings can be used to facilitate teaching performance metrics to university students and expedite metrics selection and implementation processes for practitioners Recommendation for Researchers: By using the proposed typology, researchers can streamline development of new metrics with predetermined properties Impact on Society: The outcomes of this study could be used for improving evaluation results in machine learning regression, forecasting and prognostics with direct or indirect positive impacts on innovation and productivity in a societal sense Future Research: Future research is needed to examine the properties of the extended metrics, composite metrics, and hybrid sets of metrics. Empirical study of the metrics is needed using R Studio or Azure Machine Learning Studio, to find associations between the properties of primary metrics and their “numerical” behavior in a wide spectrum of data characteristics and business or research requirements

Aim/Purpose: This study identifies the scale types and measurement units used in the measurement of enterprise architecture (EA) and analyzes the admissibility of the mathematical operations used. Background: The majority of measurement solutions proposed in the EA literature are based on researchers’ opinions and many with limited empirical validation and weak metrological properties. This means that the results generated by these solutions may not be reliable, trustworthy, or comparable, and may even lead to wrong investment decisions. While the literature proposes a number of EA measurement solutions, the designs of the mathematical operations used to measure EA have not yet been independently analyzed. It is imperative that the EA community works towards developing robust, reliable, and widely accepted measurement solutions. Only then can senior management make informed decisions about the allocation of resources for EA initiatives and ensure that their investment yields optimal results. Methodology: In previous research, we identified, through a systematic literature review, the EA measurement solutions proposed in the literature and classified them by EA entity types. In a subsequent study, we evaluated their metrology coverage from both a theoretical and empirical perspective. The metrology coverage was designed using a combination of the evaluation theory, best practices from the software measurement literature including the measurement context model, and representational theory of measurement to evaluate whether EA measurement solutions satisfy the metrology criteria. The research study reported here presents a more in-depth analysis of the mathematical operations within the proposed EA measurement solutions, and for each EA entity type, each mathematical operation used to measure EA was examined in terms of the scale types and measurement units of the inputs, their transformations through mathematical operations, the impact in terms of scale types, and measurement units of the proposed outputs. Contribution: This study adds to the body of knowledge on EA measurement by offering a metrology-based approach to analyze and design better EA measurement solutions that satisfy the validity of scale type transformations in mathematical operations and the use of explicit measurement units to allow measurement consistency for their usage in decision-making models. Findings: The findings from this study reveal that some important metrology and quantification issues have been overlooked in the design of EA measurement solutions proposed in the literature: a number of proposed EA mathematical operations produce numbers with unknown units and scale types, often the result of an aggregation of undetermined assumptions rather than explicit quantitative knowledge. The significance of such aggregation is uncertain, leading to numbers that have suffered information loss and lack clear meaning. It is also unclear if it is appropriate to add or multiply these numbers together. Such EA numbers are deemed to have low metrological quality and could potentially lead to incorrect decisions with serious and costly consequences. Recommendations for Practitioners: The results of the study provide valuable insights for professionals in the field of EA. Identifying the metrology limitations and weaknesses of existing EA measurement solutions may indicate, for instance, that practitioners should wait before using them until their design has been strengthened. In addition, practitioners can make informed choices and select solutions with a more robust metrology design. This, in turn, will benefit enterprise architects, software engineers, and other EA professionals in decision making, by enabling them to take into consideration factors more adequately such as cost, quality, risk, and value when assessing EA features. The study’s findings thus contribute to the development of more reliable and effective EA measurement solutions. Recommendation for Researchers: Researchers can use with greater confidence the EA measurement solutions with admissible mathematical operations and measurement units to develop new decision-making models. Other researchers can carry on research to address the weaknesses identified in this study and propose improved ones. Impact on Society: Developers, architects, and managers may be making inappropriate decisions based on seriously flawed EA measurement solutions proposed in the literature and providing undue confidence and a waste of resources when based on bad measurement design. Better quantitative tools will ultimately lead to better decision making in the EA domain, as in domains with a long history of rigor in the design of the measurement tools. Such advancements will benefit enterprise architects, software engineers, and other practitioners, by providing them with more meaningful measurements for informed decision making. Future Research: While the analysis described in this study has been explicitly applied to evaluating EA measurement solutions, researchers and practitioners in other domains can also examine measurement solutions proposed in their respective domains and design new ones.