A management information system (MIS) is a tool that collects, transforms, and distributes information to managers to help with decision making. It consists of hardware, software, databases, procedures, and personnel. The physical components include central processing units, storage devices, input/output devices, and communication networks. Software includes operating systems and applications. Databases centrally store and organize data to reduce redundancy. Procedures provide instructions for users. Personnel such as programmers, analysts, and managers implement the MIS. The document then describes several types of systems and subsystems within an MIS like transaction processing, management reporting, and decision support systems.
Management information System and its typesAbdul Rehman
Management information System
Difference between MIS and IS
Importance of MIS
Characteristics of MIS
Types of MIS: Expert System, Decision support system, Executive Information System
Management information System and its typesAbdul Rehman
Management information System
Difference between MIS and IS
Importance of MIS
Characteristics of MIS
Types of MIS: Expert System, Decision support system, Executive Information System
Management Information System (MIS) is a planned system of collecting, storing, and disseminating data in the form of information needed to carry out the functions of management. A Management Information System is an information system that evaluates, analyzes, and processes an organization's data to produce meaningful and useful information based on which the management can take right decisions to ensure future growth of the organization.
MIS, describe Management , information and System , introduction of MIS, definition of MIS , Types of MIS, Implementation of MIS in banking sector, Advantages of MIS, Issues in MIS.
Principles of Information Systems,
Information Concepts
Characteristics of Valuable Information,
Management information system,
Information Systems in Society.
Global Challenges in Information Systems
This presentation is detailed PPT on Management Information System. Infact it is a combination of various presentations that are downloaded from the internet.
The presentation is self explanatory and is very helpful for Management and Commerce students
Transaction Processing Systems (TPS), Management Information System (MIS), Decision Support Systems (DSS), Group Decision Support System (GDSS), Executive Information System (EIS), Expert System (ES) – features, process, advantages & disadvantages, role of these systems in decision making process.
Management Information System (MIS) is a planned system of collecting, storing, and disseminating data in the form of information needed to carry out the functions of management. A Management Information System is an information system that evaluates, analyzes, and processes an organization's data to produce meaningful and useful information based on which the management can take right decisions to ensure future growth of the organization.
MIS, describe Management , information and System , introduction of MIS, definition of MIS , Types of MIS, Implementation of MIS in banking sector, Advantages of MIS, Issues in MIS.
Principles of Information Systems,
Information Concepts
Characteristics of Valuable Information,
Management information system,
Information Systems in Society.
Global Challenges in Information Systems
This presentation is detailed PPT on Management Information System. Infact it is a combination of various presentations that are downloaded from the internet.
The presentation is self explanatory and is very helpful for Management and Commerce students
Transaction Processing Systems (TPS), Management Information System (MIS), Decision Support Systems (DSS), Group Decision Support System (GDSS), Executive Information System (EIS), Expert System (ES) – features, process, advantages & disadvantages, role of these systems in decision making process.
Contains everything a student needs to know about fundamentals of Management Information System. It is not an original work rather a useful presentation created by combining few other presentations.
The term isolation refers to the separation of a strain from a natural, mixed population of living microbes, as present in the environment. It becomes necessary to maintain the viability and purity of the microorganism by keeping the pure culture free from contamination.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
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Management Information System
M.Sc. Computer Science
III Semester
Ms. Arati Singh
Department of Computer Science
Shri Shankaracharya Mahavidyalaya Junwani
2. Page | 2
Unit- II
Physical Structure of Management Information Systems
A MIS is an organized system which consists of people, hardware, and communication networks
and data sources that collects, transforms and distributes information in an organization. It is a tool
which helps mangers in making decisions by providing regular flow of accurate information in an
organization. (Sarkissian, 2009)
The physical components of an MIS include hardware, software, database, personnel and
procedures.
Hardware
Hardware consists of all physical components of a computer system like central processing unit
(CPU), input devices, output devices, storage and communication devices. (Sarkissian, 2009)
Software
Software is an interface between the information system and users of information system. Software
can be of two types’ system software and applications. The system software includes the operating
system and special purposes programs. Application is developed to achieve a specific task.
Software plays an important part in MIS. (Sarkissian, 2009)
Database
A database is a centrally managed and organized collection of data. Database helps to store data in
an organized manner and to make available to those who need that data. Database helps to reduce
duplication of data as it is centrally managed data one data can be store at one place avoiding
redundancy and duplication of data. (Sarkissian, 2009)
Procedures
Procedures are essential for effective use of information system. Procedures consist of various
instructions like user instructions, instructions for input preparation and operating instructions.
These instructions help in using information system effectively. (Sarkissian, 2009)
Personnel
Number of personnel is required for implementation of MIS like computer operators, programmers,
systems analysts and managers. Human beings are key requirements for implementation of MIS.
In MIS both technical and managerial level people are required for proper implementation of MIS.
(Sarkissian, 2009)
Types of the System in the Management Information Systems
1. Conceptual Systems
a. Are theoretical and explanatory in the nature.
b. Provide the much needed clarification.
c. Provide theoretical framework for which there may or may not be any real life counterpart.
d. E.g. of such systems can be philosophy, theology etc.
2. Empirical Systems
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a. Are very practical, specific and also very operational in the nature.
b.Can be based on the conceptual system.
c. Examination system, surgery act as very good examples of the empirical systems.
3. Open Systems
a. Involve continuous interaction with the environment.
b. So exchanges the information, material, energy with the environment.
c. Is open and also self-organizing in the nature.
d. Is also adoptive or adaptive to the changing environment as it is flexible.
4. Closed Systems
a. Shuns any kind of the exchange with the environment.
b. Is rigid in nature.
c. Is not at all amenable to the change.
d. Is also self-contained.
e. Is somewhat isolated in the nature.
f. Is having a well-defined boundary.
g. Is not at all adaptive in the nature.
5. Natural Systems
a. Such Systems exist and also abound in the nature.
b. Are also not at all the results of the human endeavors.
c. Rivers, mountains, minerals etc. are the major examples of the natural Systems.
6. Artificial Systems
a. Are manufactured (manmade).
b. Examples of such Systems are dams, canals, roads, machines, factories etc.
7. Probabilistic Systems
a. Based on the predictability of the behavior or the outcome.
8. Deterministic Systems
a. In such Systems, the interaction of the elements is known.
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b. As the behavior of the elements is pre-determined, it becomes possible to work upon the reaction
well in the advance.
Subsystems of MIS
Systems may consist of numerous sub-systems, each of which has elements, interactions, and
objectives. Subsystems perform specialized tasks related to the overall objectives of the total
system.
A system exists on more than one level and can be composed of subsystems or element parts.
Following are the subsystems of Management Information System:
1. Transaction Processing System
2. Management Reporting System
3. Decision Support System
4. Office Information System
5. Business Expert System
Transaction Processing System - A transaction is defined as an exchange between two or more
business entities. Overall transaction processing, also known as data processing, reflects the
principal business activities of a firm like - sales, production, inventory, shipping, receiving, billing,
accounts payable, accounts receivables, payroll, general ledger, etc. Transactions are important
events for an organization, and collecting data about them is called transaction processing.
Transaction Processing System's primary purpose is to record, process, validate, and store
transactions that take place in the various functional areas of a business for future retrieval and use.
Transaction processing systems are cross-functional information systems that process data resulting
from the occurrence of business transactions.
• A TPS records internal and external transactions for a company.
• A TPS performs routine and repetitive tasks. It is mostly used by lower level managers to make
operational decisions.
• Transactions can be recorded in batch mode or online. In batch mode files are updated periodically;
and in online mode, each transaction is recorded as it occurs.
• TPS is a six step process - Data entry, Data capture, Data validation, Processing and re-validation,
Storage, Output generation, and Query support
•
Management Reporting System - Management Reporting Systems are the most elaborate of
management oriented MIS components. Its main objective is to provide lower and middle
management with printed reports and inquiry capabilities to help maintain operational and
management control of enterprise.
• MRSs are usually developed by information system professionals, rather than by end users.
• MRSs are oriented towards reporting on the past and the present, rather than projecting the future.
• MRSs largely report on internal company operations.
• MRSs generally have limited analytical capabilities.
• MRSs do not directly support the decision-making process
• MRSs provide Scheduled or Periodic Reports, Exception Reports, and Demand or Ad-hoc Report.
Decision Support System - Decision Support Systems are a class of computerized information
systems that support decision-making activities. DSS are interactive computer-based systems and
subsystems intended to help decision makers. A DSS may present information graphically and may
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include an expert system or artificial intelligence. DSS tend to be designed primarily to serve
management control level and strategic planning level managers.
• DSSs support for decision-makers in semi-structured and unstructured problems.
• DSSs are more focused on specific decision rather than routine flows of information.
• DSS present information graphically and may include an expert system or artificial intelligence.
• DSSs are adaptive over time.
Office Information System - Office Information System is an information system that uses
hardware, software, and networks to enhance work flow and better communication between
employees. Office automation refers to the application of computer and communication technology
to office functions. Office automation systems are meant to improve the productivity of managers
at various level of management by providing secretarial assistance and better communication
facilities. Office automation systems are the combination of hardware, software and people in
information systems, that process office transactions and support office activities at all levels of the
organization. These systems include a wide range of support facilities, which include word
processing, electronic filing, electronic mail, message switching, data storage, data and voice
communication etc.
Business Expert System - Business expert system is a knowledge based information system that
uses its knowledge about a specific, complex application area to act as an expert. This system is
one of the knowledge based information system. Expert system provides decision support to
managers in the form of advice from an expert in a specific problem area. Expert systems find
application in diverse areas, ranging from medical, engineering and business.
Integrated systems: Integrated systems, or systems integration, is the process of bringing
together component sub-systems into one functional system. It provides a system with coherence
by making the parts or components work together, or ‘building or creating a whole from parts’
(Langford, 2013).
It has particular relevance to information technology – where different pieces of hardware
and software act together as a coordinated system – but also civil engineering and infrastructure
projects, where it can be viewed as a distinct phase of the delivery process. The interactions between
subsystems enable the integration of sometimes apparently disparate systems, adding value to
the system as a whole in terms of increased efficiency, accuracy or cost-effectiveness.
System View Of Business
Businesses use information systems at all levels of operation to collect, process, and store data.
Management aggregates and disseminates this data in the form of information needed to carry out
the daily operations of business. Everyone who works in business, from someone who pays the
bills to the person who makes employment decisions, uses information systems. A car dealership
could use a computer database to keep track of which products sell best. A retail store might use a
computer-based information system to sell products over the Internet. In fact, many (if not most)
businesses concentrate on the alignment of MIS with business goals to achieve competitive
advantage over other businesses.
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MIS professionals create information systems for data management (i.e., storing, searching, and
analysing data). In addition, they manage various information systems to meet the needs of
managers, staff and customers. By working collaboratively with various members of their work
group, as well as with their customers and clients, MIS professionals are able to play a key role in
areas such as information security, integration, and exchange. As an MIS major, you will learn to
design, implement, and use business information systems in innovative ways to increase the
effectiveness and efficiency of your company.
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2C%20or%20systems%20integration,'%20(Langford%2C%202013).
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