Power of Power Bank and the Drive for Data Banks

by B.H.S. Thimmappa

Charge up Anywhere with a Power Bank

A power bank is defined as a portable digital device that can be pre-charged to be used to charge electronic devices such as smartphones, tablets, or digital cameras for emergency purposes. Several types of power banks include portable power banks, solar power banks, smart power banks, quick charge power banks, power banks with LEDs, and built-in rechargeable line-type power banks. We can connect the power bank to other gadgets like iPhones, iPad, or iPods. We can use other functions of the smartphone without worrying about draining the battery. Several of these are energy-efficient, and eco-friendly, and enhance our image when there are power issues or when one is traveling. Charging is done using the standard charging method by connecting to the regular power outlet, USB power outlet, or solar power unit. The recent reduction in the price of power banks, the rise in global time spent on electronic devices, and the high growth rate in the smartphone market induce global power bank market research and the convenience of charging anywhere with a power bank.

Data Banks-Meaningful Information with Data

A data bank is a repository of information about one or more subjects. The protein data bank (PDB) is the principal repository for protein structures. The Cambridge structural database consists of small molecule (organic/metalloorganic) crystal structure data. The red data book keeps a record of endangered animal/plant species. The world bank databases include pre-formatted tables, reports, and other resources. These may contain scientific information, census statistics, and credit card transactions. It is essential to extract useful information from the data set to arrive at the right conclusions. The data analysis process involves identifying the problem, collecting the data from sources, cleaning through unnecessary data, analyzing the data, interpreting results, and sharing our findings. The purpose of data science is extracting data, data analysis, processing, and generating insights from data. The hazardous substances data bank (HSDB) is a toxicology database of potentially hazardous chemicals. A memory bank is a hardware-dependent logical storage unit consisting of multiple rows and columns in electronics. The international tree-ring data bank (ITRDB) is the world’s largest public archive of tree-ring measurements. The national trauma data bank is a compilation of information about traumatic injuries and outcomes in the United States. The data repository is a large database infrastructure that collects, manage, and store data sets for analysis, sharing, and reporting. The electron microscopy data bank (EMDB) collects 3D maps of biological specimens and related experimental data. The conformational dynamics data bank (CDDB) is a collection of conformational dynamics of heavy proteins and protein assemblies useful in protein function research and identification of protein assemblies in cell function.

The Winds of Change-Data Banks of the Future

The co-existence of ecology and economy is essential for human survival and we have the capacity and capability to recognize their very specific interlinkage to take a more practical approach to conserve the rich biodiversity, development of responsible consumption habits, food, and energy security, and universal access to clean energy. Big data analytics and meaningful insights, increased productivity, and cost benefits or savings are the main reasons to use artificial intelligence in miscellaneous/allied banking systems. Multigenerational data sets with many complex variables pose a collective challenge of extracting useful information and recent advances in artificial intelligence and advanced machine learning can help us understand complicated contemporary realities. The winners are those who can best leverage the power of data and technology to satisfy all the stakeholders in adopting green initiatives as a way of life (WoL). It is essential to nurture the talent of today through higher education initiatives to tackle the challenging questions of tomorrow. Now, many data banks are freely available in the public domain and it is necessary to practice professionalism to enhance the precision and accuracy of conclusions for public consumption from the critical analysis of useful information extracted from the raw data. For instance, a death data bank can provide useful information on preventable causes of death and allow the government to take proper preventive measures to save millions of lives. Domain experts can capture the imagination through rapidly accelerating information technology and digital solutions like artificial intelligence, blockchain technology, and the Internet of Things (IoT). These aspects will have a significant impact on various types of local, national, and global data banks and the future of their ecosystem. The data connect initiative will result in progressive evolution in future data banks in various domains and transformations in modern data analytics scenarios leading to innovations.

Bibliography

1. https://en.wikipedia.org/wiki/data_bank

2. https://www.rcsb.org/

3. https://www.ccdc.cam.ac.uk/

4. https://www.iucnredlist.org/

5. https://data.worldbank.org/

6. https://data.world/datasets/banking

7. https://www.mospi.gov.in/national-data-bank

8. https://www.imf.org/en/data

9. https://www.enterprisesurveys.org/en/enterprisesurveys

10. https://data.world/datasets/banking

11. https://pubchem.ncbi.nlm.nih.gov/source/11933