Icons of India, Sri Lanka, Pakistan, Nepal among Top Finalists in Britain-based 21st Century’s Global Merit Index.


In an era marked by unprecedented technological advance, seismic social change, and deepening global interdependence, South Asia’s most transformative minds and hearts are now part of a ground-breaking and momentous global reckoning of influence.

Drawing from a pool of 1.9 million notables across 195 countries, the Britain‑based Impact Hallmarks©️ has unveiled around 183 finalists for its international opinion poll for the Quarticentennial Merited Impacts Gazette (2000–2025), a landmark initiative aimed at documenting those whose work has reshaped the first quarter of 21st century through measurable, enduring impact rather than transient fame. The public voting phase is currently live online, inviting citizens worldwide to decide not by visibility, but by the depth of contribution across humanitarian, scientific, ecological, and socio‑economic domains.

Covering a vast forefront of the South Asia’s cohort are Indian icons, individuals whose lives have become templates for systemic change and human dignity in our time. Nobel Laureate Kailash Satyarthi stands as a towering figure among child rights advocates globally, his relentless campaigns over decades contributing to the rescue of millions of children from exploitation, smuggling,  denial of education and prostitution. With a moral compass that has influenced international policy and grassroots rescue operations alike, his work epitomises an India‑rooted but globally relevant struggle for human freedom.

Alongside Satyarthi, Arunima Sinha embodies an extraordinary narrative of resilience and possibility. Having become the first female amputee to climb Mount Everest, she rewrote parameters of physical endurance and transformed personal triumph into advocacy for disability rights and empowerment. Her climb was not merely a physical conquest but a symbolic reorientation of societal assumptions about ability, courage, and perseverance.

Also representing India in the roster of global finalists are innovators whose work bridges scientific ingenuity with human welfare. Nitesh Kumar Jangir, recognised for developing affordable, life‑saving neonatal medical technologies, stands at the intersection of humanitarian impact and technological innovation, directly improving outcomes for countless families who previously lacked access to vital medical care. Dr Fathima Benazir J., a molecular biologist whose work is cited for enhancing laboratory safety and practical applications in child health, further highlights how Indian scientific contribution is yielding direct benefits to society at large.

Among the Pakistani finalists, the narrative of impact is equally rich and systemic. Dr Amjad Saqib, founder of the Akhuwat Foundation, has pioneered one of the world’s largest interest‑free microfinance networks, steering millions out of poverty with respect for dignity and solidarity. His model of Mawakhat — social brotherhood — blends economic inclusion with community empowerment. Prof Dr Aurangzeb Hafi, the arch-polymath of 21st century, a living legend of intellectual realms whose cross‑disciplinary research-work spans over 93 subjects fields and epistemological orbits including Cosmology, Primordiology, Public Health and Phygital Education, is recognised for research contributions that redefine how science interfaces with society and nature. His major contributions include identification of the phenomenon of subsoil hydro-toxification of underground water reserves due to the prevailing sewage-drainage systems. Other accomplishments include the breakthrough discovery of Magneto-Hydro-Tropism (MHT) and Deca-archic Model of Phygital Literacy. He also led ‘Child Retardation Risk Assessment’ programme in the aftermath of Asian Tsunami of 2004. He was, subsequently nominated for Noble Prize, which he declined on ethico-moral basis. His major area of research is prevention of multiple disabilities at pre-birth stage and in the newly born babies. Other Pakistani voices in the poll include community leaders and youth activists such as Parveen Saeed, and young campaigners Ghulam Bisher Hafi and Ubaida Al Fiddhah Hafiah, whose “Voice for the Voiceless” initiative spotlights the plight of children in conflict zones. The legacy of service from icons like Bilquis Edhi and Dr Ruth Pfau — whose decades of compassionate work continue to inspire public health and welfare efforts — is also honoured in the merit index.

Figures from Sri Lanka bring forward narratives of depth and bridge‑building: Dr Jehan Perera, a veteran peacebuilder and human rights advocate, has over decades worked to cultivate inter‑ethnic and inter‑faith reconciliation, embedding social cohesion in communities once fractured by conflict. Prof Chandra Wickramasinghe has propelled Sri Lanka into the orbit of foundational scientific debate with his research on cosmic dust and panspermia, inviting humanity to reconsider the universality and origins of life itself — a work resonating across astrophysics, biology, and philosophical inquiry.

Dr Asha de Vos, a marine scientist, has reshaped global understandings of whale populations and marine biodiversity, rooting conservation in empirical evidence and local ecological realities. Dr A.T. Ariyaratne, whose grassroots development movement has uplifted thousands of rural communities through participatory, sustainable practices, completes this quartet of Sri Lankan nominees whose impacts are both local and global.

The South Asian list is further enriched by nominees from Bangladesh and Nepal whose work has shaped socio‑economic and humanitarian landscapes. Prof Yunus of Bangladesh, who stood as an architect of financial inclusion that has transformed rural economies by elevating beggars, through dignity‑based lending.

Pushpa Basnet of Nepal has become a global exemplar in rescuing and educating children of incarcerated parents, demonstrating how systemic compassion can restructure societal norms around justice and care.

Across the full slate of global finalists, other notable figures illustrate the broader thematic span of the poll — from Chen Si in China, whose daily interventions at Nanjing’s Yangtze River Bridge have directly prevented hundreds of suicides through sustained compassion and dialogue, to intellectual giants like Shing‑Tung Yau, whose resolution of deep mathematical problems continues to foundationally shape theoretical physics.

Impact Hallmarks make it very clear that the poll for Quarticentennial Merited Impacts Gazette is not a popularity contest but, just a validation layer for a historic archive of influence measured by tangible contribution.

Designed to serve as the “living ledger of influence” for the first 25 years of the century, the initiative seeks to capture values, priorities and transformative endeavours that have authored the narratives of change, from humanitarian advances to cross‑disciplinary scientific innovation.

As public voting continues through the official portal, global participation will help determine which of these remarkable individuals will be inscribed most indelibly in the record of 21st‑century impact — an era increasingly defined not by celebrity but by sustained, measurable transformation.

Public voting is underway at the official portal: [https://www.impacthallmarks.org/#voting]





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Normalization in SQL Server – Table of Content

What is Normalization?

Normalization is the organization of data using a set of rules called normal forms while designing a database. It helps improve data accuracy and integrity while reducing data redundancy and inconsistent dependency. It was developed by IBM researcher Edgar Frank Codd in the 1970s to increase data and relational clarity in a database. The process includes organizing data in tabular formats and defining relationships among them. Codd proposed the relational model of databases and introduced the Normal Forms. Most practical applications of database organization can be achieved using the Third Normal Form. But still, some dependencies could exist so in 1974, he was joined by Raymond F. Boyce to develop a stronger version of 3NF, the Boyce-Codd Normal Form.

Types of Normalization

The set of rules used to create a database are called ‘forms’, these help in measuring the level of normalization of an entity. The different types of Normalization Forms are as follows:

1. First Normal Form (1NF):

1NF divides the database into logical units called ‘tables’ consisting of unique values in each related field making it easy to search, filter, and sort the information. While normalizing a database for 1NF a Primary key i.e. a single column is allotted to each data category. It helps in the redevelopment of the raw database into a manageable record. The primary key may consist of a combination of columns and the set is known as Composite Key.

2. Second Normal Form (2NF):

 2NF is the schema of further breaking down the tables based on the partial dependency of data on the primary key. The specific units have a full functional dependency that applies to a single column of Primary key. The entity must completely comply with relationship rules of 1NF to be considered for 2NF and there shouldn’t be any partial dependency. A table with a Composite Primary Key must be split into 2 to generate a foreign key. The foreign key will be the column that references the Primary Key of the other table.

3. Third Normal Form (3NF):

 The objective of entities eligible for 3NF is to eliminate non-dependent data while addressing the update anomaly. The inconsistency of the database following an update is called transitive dependency. Removal of these transitive dependencies leads to normalization from 2NF to 3NF. This is the ideal form of normalization of almost all tables.

4. Boyce Code Normal Form (BCNF):

Redundancies arising from functional dependencies are resolved by 3NF but any anomalies arising from additional constraints are handled through BCNF, also known as 3.5NF. A 3NF table or relation without a transitive dependency is in BCNF.

5. Fourth Normal Form (4NF):

At the 4NF level there are no non-trivial multivalued dependencies other than a candidate key. A relation from a table in the BCNF, without multi-value dependency, only can be in the 4NF.

6. Fifth Normal Form (5NF):

5NF is also known as project-join normal form (PJ/NF). It reduces redundancy in relational databases by isolating semantically related multiple relationships. For a table to be in 5NF its non-trivial join dependency should be implied by candidate keys.

7. Domain/Key Normal Form (DKNF):

DKNF is a stricter normal form than 5NF and it removes any additional type of dependencies and constraints. The main requirements for a 5NF to qualify for DKNF are that each constraint on the table should be a logical consequence and non-existence of all constraints other than domain and keys. Also, there shouldn’t be any insert or delete anomalies in the database. Specifying general integrity constraints is tough so the practical use of DKNF relation is limited.

8. Sixth Normal Form (6NF):

6th normal form is not a standardized form but a table eligible for 5NF only can qualify for 6NF. To be in the 6NF a relation should not contain any non-trivial join dependencies. It is stricter and less redundant that DKNF. The relational variables of entities in this form become irreducible components.

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Importance of Database Normalization

Normalization of operational data stores (ODSs) and data warehouses (DWs) helps in the following ways:

1. Consistency: As all information is stored in a single place, any chances of inconsistency are ruled out.

2. Object-to-data mapping: Normalized data schemas help with object-oriented goals.

3. Flexibility: Data values can be easily added to rows.

4. Accessibility:  Normalized data can be easily accessed, processed, and understood.

5. Uniqueness: Data redundancy is minimized.

Advantages of Normalization

Database Normalization is used to design an organized and managed database to maintain accuracy and enhance productivity. The main advantages of normalizing a database are:

  • Organization of the database through normalization improves data accuracy and reduces redundant data.
  • Data consistency and flexibility improves the logical usage of data.
  • Enhanced database security.
  • All necessary functional dependencies are handled during the normalization process.
  • Makes Index searching easier as the indexes tend to be narrow and short.

What is TSQL?

TSQL is an abbreviation for Transact-SQL or T-SQL. It is a set of proprietary extensions to SQL (Structured Query Language) created by Sybase and owned by Microsoft since 1987. This procedural language expands the Microsoft SQL Server standard with extra features such as declared variables, transaction control, stored procedures, error and exception handling, triggers, string operations, etc. TSQL is used to operate SQL server-based relational databases. It is easier to understand and Turing complete. All interactions with a SQL Server through an application are carried out by T-SQL.

The dominant features of TSQL are:

1. It is a procedural programming language used to create applications.

2. Generates compact and readable codes that are less vulnerable.

3. Support functions for string processing, date and time processing, and mathematics operations.

4. Availability of user-defined custom functions.

5. Offers developers flexible control over the application flow through local variables.

TSQL Functions

Functions can be defined using TSQL beyond the built-in functions of SQL Server.

There are four types of T-SQL functions:

Aggregate functions: 

These deterministic functions operate on a collection of values to calculate one summary value. The values of multiple rows are submitted as input to obtain a more significant value.

Ranking functions:

These are nondeterministic functions that return a ranking value for every row in a partition. The ranks for rows with the same values will be the same.  

Rowset functions:

These nondeterministic functions return an object that can be used as a view or table reference in SQL statements. Their results may vary against the same set of input values.

Scalar functions:

These user-defined functions operate on a single value and return a single value. It helps in simplifying a code but cannot be used to update data.

Analytical functions:

These functions support TSQL to perform complex tasks and enable expression of common analysis such as ranking, percentiles, moving averages, and cumulative sums in a single SQL statement.

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Differences between SQL and T-SQL

The differences between SQL and T-SQL are:

  • SQL is an open-format programming language that works for various data providers and TSQL is its proprietary extension designed specifically for Microsoft SQL Server.
  • SQL is used for implementing reporting techniques while TSQL is useful for the installation of Microsoft SQL servers using applications.
  • SQL is a data-oriented language as it operates over data sets while TSQL is a transactional language.
  • SQL can process basic queries but TSQL can be used to create applications and add services to them.
  • At a given time only a single statement can be processed using SQL while a load of statements can be processed using different control and iteration structures of T-SQL.
  • SQL can be embedded into TSQL but the vice versa isn’t possible.
  • Unlike SQL, TSQL is Turing complete and more robust.
  • Unlike SQL, T-SQL offers easy integration with Microsoft Business Intelligence tools like PowerBI.

Advantages of TSQL

TSQL helps in fast-paced development through better interaction with the SQL Server. The advantages of using TSQL are:   

  • TSQL offers modular programming and its extensions enhance its programmability.
  • Increased reliability and proprietary security of the server.
  • Efficient handling of sensitive data to reduce security threats.
  • Minimizes traffic over the server while easily managing complex tasks.
  • Allows incorporation of programming logic into the database.
  • Provides better control over the database instance.

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 Conclusion

Normalization aids in the easy organization of a database and TSQL assists in writing compact codes. Using these two concepts together makes the database and codes more readable and less vulnerable. The main areas of focus while using these will be designing tables as per the database architecture, reviewing and optimizing Query performance, and scaling the database by implementing it on the cloud. Using these in combination will help developers integrate Microsoft Business Intelligence for business analytics.

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