Data system – Search Desk http://searchdesk.org/ Wed, 25 May 2022 18:00:12 +0000 en-US hourly 1 https://wordpress.org/?v=5.9.3 https://searchdesk.org/wp-content/uploads/2021/10/icon-100x100.png Data system – Search Desk http://searchdesk.org/ 32 32 An action plan for choosing a chromatographic data system https://searchdesk.org/an-action-plan-for-choosing-a-chromatographic-data-system/ Tue, 03 May 2022 20:12:08 +0000 https://searchdesk.org/an-action-plan-for-choosing-a-chromatographic-data-system/ Analytical chemistry platforms separate targets via gas (GC), liquid (HPLC), and ion (IC) chromatography, capillary electrophoresis, and other technologies. Coordinating identification and characterization via mass spectrometry (MS) requires a common language to obtain, communicate and store large amounts of data. This role is fulfilled by a chromatographic data system (CDS). In the comparative infancy of […]]]>

Analytical chemistry platforms separate targets via gas (GC), liquid (HPLC), and ion (IC) chromatography, capillary electrophoresis, and other technologies. Coordinating identification and characterization via mass spectrometry (MS) requires a common language to obtain, communicate and store large amounts of data.

This role is fulfilled by a chromatographic data system (CDS). In the comparative infancy of GC- and LC-MS two generations ago, investigators used chart recorders, transcribing voltages onto unraveled rolls of paper to track response as a function of time, after which they excised and quantified peaks by comparing paper weights. IT innovation has modernized and digitized this process, but insufficient power and storage have limited it to one-time, result-by-result analysis and reporting.

The fundamental purpose of a CDS is always to acquire analog detector voltages and convert them into quantifiable digital signals. However, the complexity of this workflow has evolved in several ways, including: improving and diversifying separation and detection technologies with higher resolutions and higher sensitivities; an overabundance of data that can be obtained or compared with expanding standards libraries and databases; the economic and medical impacts of pharmaceutical discovery, characterization and quality control; and the power and mobility of contemporary computing, from the web to the cloud. A modern CDS must incorporate this evolving framework to serve two parallel directives. The first is for the lab, based on maximizing productivity, minimizing user training and error, and ensuring end-to-end compliance and consistency. The second must address computing concerns, depending on stability, scalability and security.

There are three types of CDS: stand-alone programs that control a chromatograph; those who can supervise two or more; and networked platforms providing control and communication between multiple instruments at linked sites, with up to thousands of users and subscribers. High-impact research and development now happens on a global scale, with international and cross-disciplinary collaboration and review. Additionally, in an increasingly regulated environment, a growing cohort of countries are complying with data quality and control standards. Therefore, a network-client-server approach with an architecture to support end-to-end data workflow control is required for CDS in the future. Potentially unlimited contributors can access acquisition and processing, from sample injection to peak identification, integration, curve calibration, reporting and data archiving.

There is a long menu of attractive bonus features of CDS systems. An important item to consider is CDS compatibility with instruments and detectors from other vendors. At a minimum, a networked CDS requires several features, including:

  • Data acquisition from the start of sample injection
  • Automated and customizable data processing including peak integration, identification, calibration, reporting and data archiving
  • End-to-end instrument control
  • Contemporary regulatory compliance with an audit trail

Ultimately, the best choice will be the ability to meet the needs of the scientific and informational aspects of chromatographic systems, while maintaining the flexibility to connect disparate users across virtual space, disparate instruments, and detectors.


For additional resources on chromatography data systems, including helpful articles and a list of manufacturers, visit www.labmanager.com/CDS

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Infectious Disease Prevention and Control Using an Integrated Health Big Data System in China | BMC Infectious Diseases https://searchdesk.org/infectious-disease-prevention-and-control-using-an-integrated-health-big-data-system-in-china-bmc-infectious-diseases/ Wed, 06 Apr 2022 08:05:54 +0000 https://searchdesk.org/infectious-disease-prevention-and-control-using-an-integrated-health-big-data-system-in-china-bmc-infectious-diseases/ The advent of big data platforms and advances in machine learning algorithms have enabled researchers to learn from vast amounts of information, which has the potential to create methods for monitoring and controlling infectious diseases. more and more efficient. [1]. The term bigdata refers to complex datasets that are too large and sophisticated to be […]]]>

The advent of big data platforms and advances in machine learning algorithms have enabled researchers to learn from vast amounts of information, which has the potential to create methods for monitoring and controlling infectious diseases. more and more efficient. [1]. The term bigdata refers to complex datasets that are too large and sophisticated to be processed by traditional analytics [2, 3] and public health agencies increasingly rely on big data to improve screening for infectious diseases. There is a wide variety of data structures relevant to public health issues, including electronic health records (EHRs), national and local clinical databases, social media, and public health agency reports. such as the Centers for Disease Control and Prevention (CDC) [4]. The ease of large-scale storage, manipulation and analysis of these wide-ranging types of data has the potential to empower healthcare organizations and public health officials to prevent the spread of infectious diseases and to respond and manage outbreaks in a timely manner. [5].

While researchers have recognized the promise of big data in improving infectious disease surveillance and control, the effectiveness of big data in preparing public health officials at state and national levels to respond to the epidemic of infectious diseases largely depends on the existence of successful partnerships between different stakeholders, such as government health agencies, infectious disease control departments, and private and public hospitals and clinics. A concerted effort to effectively store, transfer, manipulate and analyze data for infectious disease control requires the support of IT and organizational infrastructures and the streamlining of processes between different stakeholders.

The overall objective of this study is to demonstrate how building an integrated health and big data infrastructure and platform at the district level can significantly improve the ability of public health officials to leverage knowledge big data for the prevention and control of infectious diseases. To achieve this goal, we compared the effectiveness of a new tool with an integrated big data platform located in Yinzhou, a major district of Ningbo city in Zhejiang province in China. [6], with a traditional method of infectious disease surveillance – which relies on laboratory and health facility reports (e.g. doctors’ diagnosis after face-to-face consultation) – in identifying cases for control and prevention of infectious diseases. For this study, we focused on three types of infectious disease categories: (a) acute infectious diseases (i.e. dengue), (b) chronic infectious diseases (i.e. say pulmonary tuberculosis (TB)) and (c) immunization gaps. adoption among migrant children.

Challenges of traditional infectious disease surveillance methodologies

Prior to the introduction of big data, public health officials traditionally dealt with infectious disease surveillance and control in three ways. The first was the use of doctors to report suspected cases. These reports would then be compiled and sent to a centralized infectious disease agency (e.g., the CDC) to coordinate control and prevention measures. Second, public health officials have relied on predictive models drawn from sources such as weather and vector surveillance data. [7, 8]or in recent years, social media sources [4]. Third, public health officials would rely on vaccination records to examine vaccination uptake. This would allow government and public health agencies to target specific populations that are still unvaccinated and therefore most at risk for outbreaks.

However, these traditional approaches have several limitations. First, there is a high probability of human error in the diagnosis of infectious diseases, even if the diagnosis was made by highly qualified doctors. For example, research has shown that a significant portion of TB patients received non-TB respiratory diagnoses in hospitals [9]. In low-resource health care settings, doctors can sometimes misdiagnose dengue patients and treat them as having a common upper respiratory infection. The inaccuracy of traditional diagnostic methods would be magnified if hospitals and clinics were overwhelmed by a sudden increase in cases.

Second, although predictive modeling using various data sources can potentially help public health organizations prevent the spread of infectious diseases, these models have several limitations that impede their effectiveness. There are modeling issues associated with data deluge and hubris causing statistical models to over or under estimate [4]. On the other hand, in rural areas that do not have access to high-speed Internet, there may be problems related to the lack of quality data. [10]where data from underserved communities is not represented, severely compromising the quality of forecasting models.

Third, although identifying immunization gaps using local immunization records is a powerful step in prevention, the effectiveness of this method is diluted if there is an influx of migrants, who could be carriers of infectious diseases if they are not vaccinated. In the Yinzhou context, immunization records do not capture immunization rates for migrant children who are not listed as children in a local urban area. hukou— a household registration system — in China, making it difficult to track infectious diseases from other geographic regions. As such, primary care providers at local health facilities are tasked with screening migrant children by going door to door to identify those who may not have completed all basic vaccinations. which leads to huge financial and labor costs for medical institutions.

Overcoming the Challenges – Implementing an Infectious Disease Big Data Platform in Yinzhou

To circumvent the weaknesses of traditional infectious disease prevention and control methods, Yinzhou recently set up a synchronized district-wide health big data platform to coordinate data collection from healthcare providers. premises, such as clinics and hospitals, in the private and public sectors. The big data platform was developed by CDC-mandated Wonders Information Co Ltd to coordinate data sharing between a network of clinics and hospitals for CDC public health surveillance purposes. . The big data system consolidates different sources of data such as (a) daily clinical data produced by local health providers, (b) EHRs, (c) data from annual medical examinations, (d) data related to public health such as vaccination records, chronic and infectious diseases. disease notification data and mortality surveillance data, and (e) other types of data such as student register data (see Fig. 1). Individuals’ data has been linked and connected using their unique identification number and new data entries (eg visits to medical facilities) are uploaded into the big data system daily. The system performs daily scans to detect potential cases of infectious diseases among the population and notifies relevant public health agencies and authorities for further action.

Fig. 1

Data Types in Yinzhou Big Data Platform

For this study, we illustrate the accuracy and performance of the integrated big data system in identifying (a) dengue fever cases, (b) pulmonary tuberculosis among university students and (c) migrant children without vaccination records. comprehensive, compared to traditional monitoring methodologies. . While the integrated big data system contains information on all infectious diseases, we specifically chose to focus only on dengue fever and pulmonary tuberculosis, as these are the top public health priorities in Zhejiang province. Located on the east coast of China, Zhejiang province has a humid subtropical climate, with heavy rainfall in spring and summer, with an abundance of Aedes albopictus [11]. Additionally, the high human population density, as well as the metropolitan nature of the city with a large influx of travelers, the province is susceptible to individuals who import dengue fever from dengue-endemic regions, which have been the cause of some dengue epidemics in recent years [12]. In addition, in the Chinese context, pulmonary tuberculosis is a cause for concern because outbreaks often occur in educational institutions where there are overcrowded dormitories or close proximity and contact between students in classrooms. – in 2018, 48,289 students were reported to have had pulmonary tuberculosis, which was an incidence of 17.97/100,000 [13].

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Learn how to build a fast and scalable data system on Azure Hyperscale (Citus) and Cosmos DB https://searchdesk.org/learn-how-to-build-a-fast-and-scalable-data-system-on-azure-hyperscale-citus-and-cosmos-db/ Fri, 01 Apr 2022 08:11:11 +0000 https://searchdesk.org/learn-how-to-build-a-fast-and-scalable-data-system-on-azure-hyperscale-citus-and-cosmos-db/ While consumers demand organizations to be extremely responsive, agile and data-driven, enterprises need applications deployed in data centers close to their users. Therefore, it is critical that applications respond in real time, store exponentially growing pools of data, and present data to users in a fraction of a second. As data volume and data consumption […]]]>

While consumers demand organizations to be extremely responsive, agile and data-driven, enterprises need applications deployed in data centers close to their users. Therefore, it is critical that applications respond in real time, store exponentially growing pools of data, and present data to users in a fraction of a second.

As data volume and data consumption requirements increase, the database server must be scalable in terms of compute and storage. Fully managed data services can power these workloads within milliseconds of response time and ensure scalability and speed.

To understand the potential and high scalability of the most advanced open source databases, Microsoft and YourStory jointly hosted a webinar titled “Building High Performance Applications with Unlimited Scale on a Hyperscale Database” with panelists Brian McKerrTechnical specialist for open source database, Microsoft Azure and Srikant SridharSenior Specialist – Azure Cosmos DB.

Improve application performance with Postgres on Azure DB

“We have three options for deploying Postgres on Azure: a single-node database with advanced security and availability, a flexible server (a single-node Postgres database) taking into account the features and performance of the enterprise, and Hyperscale Citus (a scalable distributed Postgres database) to scale thousands of nodes and petabytes of disk storage,” Brian said.

Discussing the key features of Citus, Brian indexed managing huge infrastructure with security backups, high availability, disaster recovery, integration, scaling, and performance.

It virtually demonstrated Citus’ work on how high-performance, large-scale applications can deploy capacity and resources with connection pooling to store terabytes to petabytes. He talked about Azure Data Ecosystem including Azure Data Factory, Azure Functions and Azure App Service for easy deployment and automated scripting options using SQL queries.

“The solutions are offers where the entire database is distributed. And, depending on your application, we give you the opportunity to choose an appropriate model. We can rebalance live data non-disruptively to handle shard movements from nodes to new nodes, allowing us to distribute data evenly. Additionally, deploying a tenant isolation feature allows you to dedicate isolated resource capacity to specific tenants,” added Brian.

Hyperscale (Citus) on Azure Database

According to Brian, Hyperscale (Citus) is a built-in option in Azure Database for PostgreSQL managed services that focuses on application performance rather than spending time on database management.

“One of the features of Citus 10 for analytics workloads is columnar compression to store data in column-based tables. Another feature is Read Replicas, asynchronous replication of your database to offload analytical workloads by copying data,” he added.

Among many features, Brian highlighted a management pgBouncer to scale massive connections, an ability to configure custom maintenance windows to provide full control when performing platform maintenance, easier fragmented key run command, and MX (distributed metadata with linear performance improvements) allowing applications and users to connect to any node in a cluster than approach through the coordinator.

He showcased some scalability demanding use cases and projects that have proven to simplify system architecture, break down skill barriers, and meet business expectations.

How to select the right API in Azure Cosmos DB

“Cosmos DB is the fastest NoSQL database available on the market. It is a multimodal NoSQL database and can support multiple open APIs for your workload needs. Cosmos DB can be used as a document-based database, column-based database, graph database, or key-value pair database as needed,” Srikant noted.

Cosmos DB offers sub-10 millisecond latency, unlimited scale as storage to build scalable, high-performance applications with availability in many regions. For application development and the technical community, Cosmos SDKs support major programming languages ​​such as .NET, Java, Python, PHP, and Nodejs.

“It’s highly scalable to handle big data workloads. With high availability and geo-replication functionality, you can replicate data to any part of the world seamlessly, attract users from different geographies, and have turnkey global replication capability,” he added.

According to him, Cosmos DB has many applications in several sectors; for example, e-commerce, supply chain, financial sector, retail, telecommunications, gaming and many more.

Key differentiators such as flexibility, scalability, real-time analysis of data stored on Cosmos DB at minimal cost, predictive maintenance, consistency, availability, etc. make Cosmos DB an efficient product to meet the requirements of creating any scalable application.


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US Renal Data System report offers new look at home dialysis https://searchdesk.org/us-renal-data-system-report-offers-new-look-at-home-dialysis/ Wed, 16 Mar 2022 07:00:00 +0000 https://searchdesk.org/us-renal-data-system-report-offers-new-look-at-home-dialysis/ March 16, 2022 5 minute read Source/Disclosures Published by: Disclosures: Weinhandl does not report any relevant financial information. ADD A SUBJECT TO EMAIL ALERTS Receive an email when new articles are published on Please provide your email address to receive an email when new articles are published on . […]]]>

March 16, 2022

5 minute read


Source/Disclosures


Disclosures: Weinhandl does not report any relevant financial information.


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For the first time in its history, the US Renal Data System Annual Data Report included a chapter dedicated to home dialysis, offering an unprecedented view of the evolution of home therapies over the past decade.

To the nation’s credit, the overall story is excellent progress in increasing the use of home therapies – with opportunities for continued growth but also improved quality.

At the end of the line

Eric Weinhandl

In 2009, 6.8% of new dialysis patients were treated at home. In 2019, this percentage was 12.6%. As a result, the percentage of all dialysis patients who were treated at home increased from 8.9% in 2009 to 13.1% in 2019 – with more than a percentage point of that growth between 2017 and 2019 alone. .

The United States may be many years away from matching Canada or Australia in the use of home therapies, but the country is closing in on the United Kingdom, where 17.1% of dialysis patients in 2019 were treated at home.

Use of both therapies – peritoneal dialysis and home hemodialysis – has grown here, with HHD use increasing from 1.2% to 1.9% of all dialysis patients between 2009 and 2019, and PD from 7.7% to 11.2%.

Access to home therapies

Although the growth of home dialysis has been widespread across adult age groups, genders, race and ethnicity, there are persistent disparities. The use of home dialysis decreases with age. White and non-Hispanic Asian patients are at one level of utilization, while black and Hispanic patients are at a different lower level.

Socio-economics probably plays a role. While home dialysis use exceeded 30% of all dialysis patients with Medicare as a secondary payer in 2019, use was less than 10% among patients on both Medicare and Medicaid, many of whom have little or no income.

Of all Medicare-certified dialysis facilities in 2019, 47% had active home therapy programs, while an additional 8% were certified to offer at least one home modality but had no patients. About 30% of facilities offered HHD, although more than a third of them had no patients. In contrast, only one-sixth of facilities that offered PD had no patients.

Active programs tended to be small – a unique feature of home dialysis in the United States. More than half of facilities with active home therapy programs had 15 or fewer patients, and only 23% had more than 25 patients. Six out of 10 HHD programs had no more than five patients.

The preponderance of small programs presents an interesting conundrum as the country moves forward. Encouraging more facilities to offer home dialysis could put the option in front of all patients. However, medicine is dominated by the effects of practice – more patients, better results. Investing in centers of excellence could promote better outcomes with home therapies.

Early PD, late HHD

In 2019, 85% of patients who initiated PD did so within the first year after kidney failure diagnosis, and an additional 5% did so within the second year. Generally, PD is an “early” therapy. In contrast, only 43% of patients who initiated HHD in 2019 did so within the first year following the diagnosis of renal failure. Coincidentally, another 43% started HHD after 2 or more years since the kidney failure diagnosis. Generally, HHD is a “late” therapy, in part because it is used when patients are considered likely to benefit from intensification of dialysis.

In 2019, 86% of PD patients used a cycler. In other words, only 14% of patients used continuous ambulatory PD (CAPD). Simply put, no high-income country resembles the United States in this regard.

In Canada and Australia, approximately 30% of PD patients use CAPD. There may not be an “ideal” mix of CAPD and automated PD, but in the absence of randomized trials that show conclusively that one form of PD is superior to another, it is helpful to ask whether the peripheral status of the country is justified. The reality is that CAPD is hands-on therapy.

HHD intensity

HHD is a unique creature in the United States, in that daytime dialysis and low dialysate flow rates are dominant. The annual data report from the US Renal Data System offers some views of the intensity of HHD. More than 77% of HHD patients in 2019 were prescribed four or five treatments per week, with roughly equal shares of each. Only 5% of patients were prescribed six or seven treatments per week. The growing popularity of four treatments per week is an interesting development that continues to elude research scrutiny. There is little evidence, randomized or otherwise, that establishes the relative efficacy and safety of four versus three weekly treatments.

About half of HHD patients in 2019 were prescribed treatments between 2.5 and 3.5 hours, and 4% were prescribed treatments longer than 6 hours. Indeed, nocturnal HHD remains an unpopular therapy in the United States, perhaps reflecting the legacy of the Frequent Hemodialysis Network trial. Interestingly, more than a third of all patients on HHD in 2019 were prescribed less than 12 hours of therapy per week, an amount that is proportional to in-center hemodialysis. The focus is on retaining home dialysis, especially with HHD, but after accepting that home dialysis is still a “job” for patients, the question must be asked: HHD prescriptions offer they have enough benefits to justify the work?

Hospitalization rates for DP catheter complications and peritonitis steadily decreased between 2009 and 2019, as did the hospitalization rate for vascular access complications with HHD. However, some of these declines were offset by apparent increases in the rate of hospitalizations for sepsis. It is difficult to discern from the claims data what is real and what is coding drift. Eventually, access-related hospitalizations with home dialysis became less common.

The 2-year incidence of conversion from HHD to in-center hemodialysis – known as technical failure – decreased slightly between 2013 and 2018, as did the incidence of conversion from PD to hemodialysis in the center. Survival on HHD was stable, while survival on PD improved somewhat. Since 2013, the incidence of kidney transplantation has increased with both home modalities, despite the decline in the percentage of patients on the transplant waiting list.

The path to follow

The ESRD Treatment Choices payment model is the newest elephant in the room, but the past decade shows that the dialysis system is perfectly capable of steady transformation. After all, reimbursement for home dialysis has changed little since the advent of the ESRD Prospective Payment System in 2011.

The challenge now is to identify a set of strategies that will bring the country to 20% home dialysis use. The USRDS data suggests some of the following paths to take:

  • increase the use of home dialysis among elderly patients, black and Hispanic patients, and patients with low or no income;
  • investing in home dialysis centers – large programs with expert doctors and nurses who espouse the philosophy of home dialysis “for everyone”, rather than just the best candidates;
  • move PD later in the course of dialysis and move HHD earlier;
  • build enthusiasm around CAPD;
  • re-intensify HHD, with a renewed commitment to more frequent and longer treatments, including nocturnal treatments, in patients likely to benefit; and
  • increase the length of time at home, with better technology, better follow-up and more support for care partners.

The world is an oyster, and so is the dialysis system. Home dialysis is seeing great momentum, and targeted efforts to address long-standing issues that are evident in national data can further advance home therapies.

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Aerial Data System Market to Witness Revolutionary Growth by 2027 https://searchdesk.org/aerial-data-system-market-to-witness-revolutionary-growth-by-2027/ Wed, 23 Feb 2022 14:49:52 +0000 https://searchdesk.org/aerial-data-system-market-to-witness-revolutionary-growth-by-2027/ Latest market research on Aerial Data System Market offers an excellent comprehensive outlook of the markets from the year 2016 (historic) to 2027 (forecast) and offers a detailed summary of some of the key metrics required for a sound trading decision such as current market status, market size , market share, player analysis, strategies by […]]]>

Latest market research on Aerial Data System Market offers an excellent comprehensive outlook of the markets from the year 2016 (historic) to 2027 (forecast) and offers a detailed summary of some of the key metrics required for a sound trading decision such as current market status, market size , market share, player analysis, strategies by players, market drivers, challenges, trends, opportunities, regional and country level analysis and many other crucial information.

Additionally, the report also offers an excellent overview of the market challenges and restraints and its negative impact on market growth.

Download Free Sample Report of Aerial Data System Market:

www.readmarketresearch.com/sample-request/157778-global-air-data-system-market

The main players in the world Air data system market are:

Curtiss-Wright Corporation, Aeroprobe Corporation, Astronautics, Meggitt, Resa Airport Data Systems, Northrop Grumman Corporation, GE Aviation, CFM International

One of the crucial parts of this report includes the discussion of the key vendor in the industry. The company profile section offers brand summary, market revenue and financial analysis information, along with a detailed analysis of current strategies and recent developments.

What does the Air Data System Market report include?

  • Potential markets for the products and services you are trying to enter.
  • A detailed qualitative and quantitative analysis of segments, countries, regions and players.
  • Analysis of market factors such as market drivers, challenges, trends and opportunities.
  • Examination of the forces consolidating the global aerial data systems market, including the demand outlook for the product and services.
  • Qualitative and quantitative analysis of market sizes, revenue, production, GDP, CAGR and forecast.

The type of product divides the Air data system market in

Narrow body, wide body, wide body

The application of the product divides the Air data system market in

Civil, military

Learn more about the Aerial Data System Market at @

www.readmarketresearch.com/industry-report/157778/global-air-data-system-market

The focal point of the Air Data Systems market research is to explain and offer insights into the market drivers, restraints, key trends, opportunities, and challenges. The analysis appeals to the most influential factors improving the opportunistic landscape of the Air Data System market. The report studies the key existing and emerging trends that are fueling the growth and development of the Global Air Data System Market over the next 7 years.

Scope of the Aerial Data System Market Report

ATTRIBUTE DETAILS
ESTIMATED YEAR 2021
YEAR OF REFERENCE 2020
FORECAST YEAR 2027
HISTORICAL YEAR 2019
UNITY Value (million USD/billion)
SECTORS COVERED Types (narrow body, wide body, wide body), applications (civilian, military), end users, etc.
REPORT COVER Market Revenue, Competitive Landscape, Market Factor Analysis, Regional Analysis, Segment Analysis
BY REGION North America, Europe, Asia-Pacific, Latin America, Middle East and Africa
KEY PLAYERS Curtiss-Wright Corporation, Aeroprobe Corporation, Astronautics, Meggitt, Resa Airport Data Systems, Northrop Grumman Corporation, GE Aviation, CFM International

Geographic segment covered in the report:

The Air Data System market report offers insights and statistics about the market area which is also divided into sub-regions and countries. For the purpose of this study, the report has been divided into following regions and countries –

  • North America (USA and Canada)
  • Europe (UK, Germany, France and Rest of Europe)
  • Asia-Pacific (China, Japan, India and the rest of the Asia-Pacific region)
  • Latin America (Brazil, Mexico and Rest of Latin America)
  • Middle East and Africa (GCC and Rest of Middle East and Africa)

Answers to key questions in the report:

  • What is the growth potential of the Air Data System market?
  • Which product segment will take the biggest share in 2021?
  • What are the most important challenges that the Air Data Systems market may face in the future?
  • Who are the key companies in the Air Data System market?
  • What growth opportunities might arise in the Air Data System industry in the coming years?
  • What growth strategies are the players considering to stay in the Air Data Systems market?
  • What are the key trends that are positively impacting market growth?
  • Which regional market will impose itself as a pioneer in the years to come?
  • Which application segment will experience strong growth?

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Data Privacy Detective Podcast – Episode 83: Ethical Hacking and Data System Assessments – Privacy https://searchdesk.org/data-privacy-detective-podcast-episode-83-ethical-hacking-and-data-system-assessments-privacy/ Fri, 18 Feb 2022 08:00:00 +0000 https://searchdesk.org/data-privacy-detective-podcast-episode-83-ethical-hacking-and-data-system-assessments-privacy/ United States: Data Privacy Detective Podcast – Episode 83: Ethical Hacking and Data System Assessments February 18, 2022 Frosted Brown Todd To print this article, all you need to do is be registered or log in to Mondaq.com. Hacking – it gets bad press. For good reason. It is associated […]]]>


United States: Data Privacy Detective Podcast – Episode 83: Ethical Hacking and Data System Assessments

To print this article, all you need to do is be registered or log in to Mondaq.com.

Hacking – it gets bad press. For good reason. It is associated with bad actors who infiltrate computer system and steal organizational and personal information for criminal purpose. But pirating is just one activity. Ethical hacking is a way for businesses and individuals to test their data systems and prevent bad actors from breaking into them. Ethical hacking is a tool to protect data by enhancing defenses.

André Sollner is the Global CFO of wizlynx Group, a global provider of ethical hacking and penetration testing. André holds numerous certifications over a career spanning more than 20 years in the field of cybersecurity, including that of Certified Engineer in Data Privacy Solutions. It is our guide to how a system assessment is conducted in five phases, from understanding and mapping an IT system and all entry points, to a final assessment and report after the system has been ethically attacked.

This podcast episode will educate you on preventative system assessments that can strengthen defenses against data theft, ransomware attacks, and other data disasters. We discuss the range of personal information commonly found in company databases and key weaknesses in IT systems. You will get the best advice for protecting the privacy of organizational and personal data.

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The content of this article is intended to provide a general guide on the subject. Specialist advice should be sought regarding your particular situation.

POPULAR ARTICLES ON: Privacy from the USA

Proposed Update to State Privacy Protection Act: March 7, 2022

Husch Blackwell LLP

This week, the Utah Legislature passed the Utah Consumer Privacy Act, the Florida House passed HB 9, there was activity with bills in Connecticut, Nebraska and Washington, and lawmakers in Virginia…

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Protein Metrics Byosphere now integrates with Chromatography Data System https://searchdesk.org/protein-metrics-byosphere-now-integrates-with-chromatography-data-system/ Thu, 17 Feb 2022 14:05:49 +0000 https://searchdesk.org/protein-metrics-byosphere-now-integrates-with-chromatography-data-system/ Protein measurement logo Our goal is to enable scientists to be more productive by taking advantage of advances in computing power available on cloud platforms where data processing is increasingly routine, safe, acceptable and compliant. CUPERTINO, CA (PRWEB) February 17, 2022 Protein Metrics Inc, the industry leader in vendor-neutral protein characterization software, today announced […]]]>

Protein measurement logo

Our goal is to enable scientists to be more productive by taking advantage of advances in computing power available on cloud platforms where data processing is increasingly routine, safe, acceptable and compliant.

Protein Metrics Inc, the industry leader in vendor-neutral protein characterization software, today announced that the previously announced collaboration with Thermo Fisher has resulted in an integration that enables automatic data transfer between Byosphere® software from Protein Metrics and the Thermo Fishers Chromeleon® (CDS) Chromatography Data System. Users can now securely and efficiently transfer data between software platforms and take advantage of interoperable data flows.

The companies have worked together for many years for the benefit of mutual customers by providing advanced mass spectrometry data processing and analysis capabilities to drive innovation across the spectrum of biopharmaceutical applications, from research and development to Quality Control.

“We are very pleased to work with Thermo Fisher as a partner and to respond to requests from our joint customers to enable them to take full advantage of our two software systems,” said Eric Carlson, PhD, CEO of Protein Metrics Inc. “Our goal is to enable scientists to be more productive by taking advantage of advances in computing power available on cloud platforms where data processing is increasingly routine, secure, acceptable and compliant.”

“Previously, we had to manually export MS data out of the Chromeleon CDS system for processing in Byosphere. Today, data is automatically synchronized between the two software platforms, and with the integration of Chromeleon and Byosphere, our feed MS workflows have become very streamlined,” said Dan Bach Kristensen, Principal Scientist Symphogen at Servier Company. “Symphogen employees can access and process data from any computer, and this has been essential to meet the increased demand for throughput in our MS lab.”

Interoperable data streams now also include the sharing of data acquired in Chromeleon CDS and derived not only from mass spectrometry but also from optical detection (such as ultraviolet (UV) and fluorescence (FLR) detectors). This further benefits the broader biopharmaceutical analytical customer base that regularly uses analytical approaches with optical traces for the quantification and quality assessment of different therapeutic protein variants.

About Protein Metrics Inc.

Protein Metrics Inc. is a holding company within Insightful Science.

Protein analysis should never be limited by software. With a clear focus on protein characterization, Protein Metrics’ independent software allows scientists to use data generated on analytical instruments such as mass spectrometers to quickly identify and report protein sequences as well as any variation compared to the expected shape. We innovate so biopharmaceutical companies and academic research labs can get reliable results from their analyzes and reports. Together with our customers, we are boldly advancing protein characterization. Protein Metrics is headquartered in Cupertino, California, the crossroads of computing and biotechnology in the San Francisco Bay Area.

For more information, visit http://www.proteinmetrics.com.

About Insightful Science LLC

Insightful Science is a scientific software company that enables the cloud for scientific discovery. From developing new personalized and preventative patient treatment solutions to reversing climate change, more than two million researchers from leading companies in life sciences, biopharmaceuticals, chemicals and materials are doing trust in products from Insightful Science to make the world healthier, cleaner and more livable. Insightful Science portfolio products were created by leading scientists and include GraphPad Prism, Geneious Prime and Geneious Biologics, Dotmatics, SnapGene, nQuery, Cytapex, and more.

Visit http://www.insightfulscience.com for more information about the company and its products.

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Data Privacy Detective Podcast – Episode 83: Ethical Hacking and Data System Assessments https://searchdesk.org/data-privacy-detective-podcast-episode-83-ethical-hacking-and-data-system-assessments/ Thu, 17 Feb 2022 08:00:00 +0000 https://searchdesk.org/data-privacy-detective-podcast-episode-83-ethical-hacking-and-data-system-assessments/ Click here to listen to the audio. Hacking – it gets bad press. For good reason. It is associated with bad actors who infiltrate computer system and steal organizational and personal information for criminal purpose. But pirating is just one activity. Ethical hacking is a way for businesses and individuals to test their data systems […]]]>

Click here to listen to the audio.

Hacking – it gets bad press. For good reason. It is associated with bad actors who infiltrate computer system and steal organizational and personal information for criminal purpose. But pirating is just one activity. Ethical hacking is a way for businesses and individuals to test their data systems and prevent bad actors from breaking into them. Ethical hacking is a tool to protect data by enhancing defenses.

André Sollner is the Global CFO of wizlynx Group, a global provider of ethical hacking and penetration testing. André holds numerous certifications over a career spanning more than 20 years in the field of cybersecurity, including that of Certified Engineer in Data Privacy Solutions. It is our guide to how a system assessment is conducted in five phases, from understanding and mapping an IT system and all entry points, to a final assessment and report after the system has been ethically attacked.

This podcast episode will educate you on preventative system assessments that can strengthen defenses against data theft, ransomware attacks, and other data disasters. We discuss the range of personal information commonly found in company databases and key weaknesses in IT systems. You will get the best advice for protecting the privacy of organizational and personal data.

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Aerospace Air Data System Market Size, Share, Growth Overview, Competitive Analysis https://searchdesk.org/aerospace-air-data-system-market-size-share-growth-overview-competitive-analysis/ Mon, 31 Jan 2022 10:56:37 +0000 https://searchdesk.org/aerospace-air-data-system-market-size-share-growth-overview-competitive-analysis/ New Jersey, United States,- This unique Aerospace Air Data System Market The research study also presents important data on COVID-19 and its effects on different industries. It further explains how industries are trying to get out of this pandemic situation to revive their business in the market. It also focuses on some of the important […]]]>

New Jersey, United States,- This unique Aerospace Air Data System Market The research study also presents important data on COVID-19 and its effects on different industries. It further explains how industries are trying to get out of this pandemic situation to revive their business in the market. It also focuses on some of the important sources to use while doing business to earn huge profits. Such in-depth analysis of the exploration market places more emphasis on the market size as per region, future progress and market limitations. It also estimates market patterns and procedures to get an overall idea of ​​the market scenario. It offers new entrants effective ways to position themselves in the market and increase their portfolio in the market.

This Aerospace Air Data System Market study depicts the economic catastrophe induced by the COVID-19 outbreak, which has affected all sectors of the business. A major global economic loss has occurred due to several industrial closures and loss of income. Here, a high degree of information is offered to assess the market situation.

Get Sample Full PDF Copy of Report: (Including Full TOC, List of Tables & Figures, Chart) @ https://www.verifiedmarketreports.com/download-sample/?rid=118978

This market report enhances the business plans of key players by enabling them to gain a foothold in the market in an orderly manner. It helps companies assess their likelihood of success against a variety of criteria. It also enables performance improvement and identification of knowledge gaps in order to achieve business growth. In this Aerospace Air Data System Market research report, several possibilities are also highlighted. It seeks to reduce the investment risk of major players by conducting in-depth market analysis. This could help you improve your product offering. Web communities, online forums, surveys and interviews are used to acquire data for the market research report.

Key Players Mentioned in the Aerospace Air Data System Market Research Report:

Key Player I, Key Player II, Key Player III, Key Player IV, Key Player V

Aerospace Air Data System Market Segmentation:

By Product Type, the market is primarily split into:

• Type I
• Type II
• Type III
• Type IV

By application, this report covers the following segments:

• Application I
• Application II
• Application III
• Application IV

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Scope of Aerospace Air Data System Market Report

ATTRIBUTES DETAILS
ESTIMATED YEAR 2022
YEAR OF REFERENCE 2021
FORECAST YEAR 2029
HISTORICAL YEAR 2020
UNITY Value (million USD/billion)
SECTORS COVERED Types, applications, end users, and more.
REPORT COVER Revenue Forecast, Business Ranking, Competitive Landscape, Growth Factors and Trends
BY REGION North America, Europe, Asia-Pacific, Latin America, Middle East and Africa
CUSTOMIZATION SCOPE Free report customization (equivalent to up to 4 analyst business days) with purchase. Added or changed country, region and segment scope.

Geographic segment covered in the report:

The Aerospace Air Data System report provides information on the market area, which is sub-divided into sub-regions and countries/regions. In addition to the market share in each country and sub-region, this chapter of this report also contains information on profit opportunities. This chapter of the report mentions the market share and growth rate of each region, country and sub-region over the estimated period.

• North America (USA and Canada)
• Europe (UK, Germany, France and rest of Europe)
• Asia-Pacific (China, Japan, India and the rest of the Asia-Pacific region)
• Latin America (Brazil, Mexico and rest of Latin America)
• Middle East and Africa (GCC and Rest of Middle East and Africa)

Answers to key questions in the report:

1. Who are the top five players in the Aerospace Air Data System Market?

2. How will the Aerospace Air Data System market develop over the next five years?

3. Which products and applications will capture the lion’s share of the aerospace aerospace data systems market?

4. What are the Aerospace Air Data System Market drivers and restraints?

5. Which regional market will show the strongest growth?

6. What will be the CAGR and size of the Aerospace Air Data System market throughout the forecast period?

For more information or query or customization before buying, visit @ https://www.verifiedmarketreports.com/product/global-aerospace-air-data-system-market-outlook/

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Airservices begins developing a flight data system for drone operators – Strategy – Software https://searchdesk.org/airservices-begins-developing-a-flight-data-system-for-drone-operators-strategy-software/ Thu, 27 Jan 2022 08:00:00 +0000 https://searchdesk.org/airservices-begins-developing-a-flight-data-system-for-drone-operators-strategy-software/ Airservices Australia has selected four companies to develop a prototype Flight Information Management System (FIMS) that will share air traffic control information with drone operators. The companies – ANRA Technologies, Altitude Angel, Frequentis Australasia and OneSky Systems – were chosen following a call for tenders by the state-owned company last year. FIMS, on which Airservices […]]]>

Airservices Australia has selected four companies to develop a prototype Flight Information Management System (FIMS) that will share air traffic control information with drone operators.

The companies – ANRA Technologies, Altitude Angel, Frequentis Australasia and OneSky Systems – were chosen following a call for tenders by the state-owned company last year.

FIMS, on which Airservices has been consulting since mid-2020, will act as a data exchange gateway, connecting drone operators and other new airspace users to the existing air traffic management system.

It should enable shared situational awareness among all airspace users, as participants in unmanned aerial vehicle (UTM) traffic management increasingly become a feature of the skies.

“Australia is one of the fastest growing markets for drones, embracing new technologies to deliver products, services and assistance to people and places faster,” Airservices said in a statement.

Airservices Director of Customer Experience Strategy Peter Curran said FIMS will be at the heart of the UTM ecosystem envisioned by the government’s National Emerging Aviation Technology Policy.

He said this will “provide safe, efficient and equitable access to airspace for traditional and new airspace users”.

An example could include emergency services temporarily requesting priority access to conduct a rescue operation, with FIMS automatically sharing updated information with all airspace users.

The four chosen companies will now participate in a “competitive selection process” to create the FIMS prototype, with field trials expected to take place before the end of this year.

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