This document provides an overview of NoSQL and MongoDB. It discusses what NoSQL is, examples of NoSQL databases, and the CAP theorem. It then focuses on MongoDB, describing how it is a document-oriented NoSQL database that stores data in BSON format and is schema-free and scalable. The document outlines various MongoDB concepts and operations like data storage, querying, updating, and replication.
Introduction to MongoDB – A NoSQL Databasemanikgupta2k04
his presentation provides an in-depth introduction to MongoDB, a widely used NoSQL database known for its scalability, flexibility, and high performance. We will explore the fundamental concepts of MongoDB, including document-based storage, collections, CRUD operations, indexing, and aggregation framework.
Additionally, the presentation will compare MongoDB with traditional relational databases (SQL), highlighting its advantages and use cases in modern applications such as big data, real-time analytics, and cloud-based applications.
The session will also include a live demonstration of how to set up a MongoDB database, insert and retrieve data, and perform queries efficiently. By the end of this presentation, attendees will have a solid understanding of how MongoDB works and why it is a preferred choice for developers in modern applications.Along with that we have also covered some common queriees that can be used in the document
This document provides an overview of MongoDB including:
- MongoDB is a cross-platform, document-oriented NoSQL database that stores data as JSON-like documents.
- It discusses MongoDB architecture, important features like queries, indexing, replication, and auto-sharding.
- The document compares MongoDB to relational databases and covers installation, CRUD operations, and aggregation.
- Examples of queries, updates, projections and other MongoDB operations are provided.
This document provides an overview of MongoDB concepts and how to perform CRUD operations. It discusses how to install and set up MongoDB, create collections and schemas to store data, perform basic CRUD operations like insert, find, update, and delete records, and how to drop collections. MongoDB is an open-source, document-based database that provides high performance, high availability, and easy scalability. It uses JSON-like documents with dynamic schemas and supports distributed storage and processing of large amounts of data.
This document provides an introduction to MongoDB, a non-relational NoSQL database. It discusses what NoSQL databases are and their benefits compared to SQL databases, such as being more scalable and able to handle large, changing datasets. It then describes key features of MongoDB like high performance, rich querying, and horizontal scalability. The document outlines concepts like document structure, collections, and CRUD operations in MongoDB. It also covers topics such as replication, sharding, and installing MongoDB.
This presentation is related to nosql database and nosql database types information. this presentationa also contains discussion about, how mongodb works and mongodb security and mongodb sharding information.
MongoDB is a cross-platform, document-oriented NoSQL database that provides high performance and scalability. It stores data in BSON documents which are similar to JSON documents. MongoDB does not enforce a schema and documents can have dynamic schemas. It supports queries, indexing, replication and sharding. Some key features include schema-less design, document-oriented storage, queries on indexed fields and MapReduce for flexible aggregation.
MongoDB is a non-relational database that supports document-based queries, indexing of all fields, master-slave replication for high availability, automatic sharding of data across multiple servers, and MapReduce for flexible aggregation. It uses dynamic schemas and embeds documents which can store binary data. Queries in MongoDB support ad-hoc queries on documents using standard operators and indexes can be applied on any field.
This is an introduction about the MongoDB. It includes basic MongoQueries. Not a advance level of presentation but provide nice information for the starters
MongoDB NoSQL database a deep dive -MyWhitePaperRajesh Kumar
This document provides an overview of MongoDB, a popular NoSQL database. It discusses why NoSQL databases were created, the different types of NoSQL databases, and focuses on MongoDB. MongoDB is a document-oriented database that stores data in JSON-like documents with dynamic schemas. It provides horizontal scaling, high performance, and flexible data models. The presentation covers MongoDB concepts like databases, collections, documents, CRUD operations, indexing, sharding, replication, and use cases. It provides examples of modeling data in MongoDB and considerations for data and schema design.
- MongoDB is a schema-free document database that stores data in BSON format.
- It aims to bridge the gap between relational and non-relational databases by providing scalability and flexibility similar to non-relational databases while also supporting richer queries than typical key-value stores.
- MongoDB installations involve downloading the MongoDB software, setting up a data directory, starting the MongoDB process, and connecting to it using the mongo shell for basic CRUD operations on databases and collections of documents.
This document provides an introduction and overview of MongoDB. It begins with defining what a database and NoSQL database are. MongoDB is introduced as a popular open-source document-oriented NoSQL database that stores data in BSON documents. The document outlines some key advantages of MongoDB like its flexibility and support for many programming languages. It then covers how to set up a local MongoDB server, perform basic CRUD operations, and query documents. Finally, it introduces MongoDB Atlas as a cloud database service that handles deploying and managing MongoDB in the cloud.
This document provides an overview of MongoDB including what MongoDB is, its advantages over SQL databases, different types of NoSQL databases, and basic CRUD operations in MongoDB using examples. Key points covered include MongoDB being a document-based and schema-less database, its advantages like scalability and flexibility with semi-structured data, the four main types of NoSQL databases, and examples of insert, find, update, and remove operations in MongoDB.
MongoDB is a horizontally scalable, schema-free, document-oriented NoSQL database. It stores data in flexible, JSON-like documents, allowing for easy storage and retrieval of data without rigid schemas. MongoDB provides high performance, high availability, and easy scalability. Some key features include embedded documents and arrays to reduce joins, dynamic schemas, replication and failover for availability, and auto-sharding for horizontal scalability.
This document provides an overview of MongoDB, including its key features such as document-oriented storage, full index support, replication and high availability, auto sharding, querying capabilities, and fast in-place updates. It also discusses MongoDB's architecture for replication, sharding, and configuration servers.
This document provides an overview of NoSQL databases and MongoDB. It states that NoSQL databases are more scalable and flexible than relational databases. MongoDB is described as a cross-platform, document-oriented database that provides high performance, high availability, and easy scalability. MongoDB uses collections and documents to store data in a flexible, JSON-like format.
The document outlines an incremental indexing framework to index database tables using Apache Solr. It proposes using database views to collate relevant data from multiple tables and batch processing to periodically fetch updated records and convert them to XML documents to post to Solr. The key components are database views, a data fetcher, an XML converter, an indexer controller class, and a job scheduler that coordinates periodic indexing based on configured triggers.
This document discusses Excel database functions that perform calculations on subsets of data in a database table based on criteria. It provides the syntax and overview of several common database functions, including DAVERAGE, DCOUNT, DCOUNTA, DGET, DMIN, DPRODUCT, DSTDEV, and DSUM. These functions allow the user to calculate metrics like average, count, minimum, product, and sum on only the records in the database that match specified criteria, rather than the entire dataset.
This document provides information about MongoDB, including:
- MongoDB is a non-SQL database that stores data as flexible documents rather than rows and tables. It is suitable for large, unstructured datasets.
- Key features include document-oriented storage, full indexing support, replication for high availability, auto-sharding for scalability, and querying capabilities.
- CRUD operations like insert, find, update, and delete can be performed on MongoDB collections and documents using methods like db.collection.insert() and db.collection.find(). Aggregation operations allow computing results by processing documents.
The document provides an overview of building a REST API with Node.js and Express. It discusses setting up a MongoDB database using Mongoose as an ODM. It describes defining schemas and models, and using models to perform CRUD operations. It also covers creating routes and controllers to build out the REST API endpoints.
Basic drug information resources:
Drug information is current, critically examined, relevant data about drugs and drug use in a given patient or situation.
Current information uses the most recent, up-to-date sources possible.
Critically examined information.
Relevant information must be presented in a manner that applies directly to the circumstances under consideration (e.g. patient parameters, therapeutic objectives, alternative approaches).
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MongoDB is a non-relational database that supports document-based queries, indexing of all fields, master-slave replication for high availability, automatic sharding of data across multiple servers, and MapReduce for flexible aggregation. It uses dynamic schemas and embeds documents which can store binary data. Queries in MongoDB support ad-hoc queries on documents using standard operators and indexes can be applied on any field.
This is an introduction about the MongoDB. It includes basic MongoQueries. Not a advance level of presentation but provide nice information for the starters
MongoDB NoSQL database a deep dive -MyWhitePaperRajesh Kumar
This document provides an overview of MongoDB, a popular NoSQL database. It discusses why NoSQL databases were created, the different types of NoSQL databases, and focuses on MongoDB. MongoDB is a document-oriented database that stores data in JSON-like documents with dynamic schemas. It provides horizontal scaling, high performance, and flexible data models. The presentation covers MongoDB concepts like databases, collections, documents, CRUD operations, indexing, sharding, replication, and use cases. It provides examples of modeling data in MongoDB and considerations for data and schema design.
- MongoDB is a schema-free document database that stores data in BSON format.
- It aims to bridge the gap between relational and non-relational databases by providing scalability and flexibility similar to non-relational databases while also supporting richer queries than typical key-value stores.
- MongoDB installations involve downloading the MongoDB software, setting up a data directory, starting the MongoDB process, and connecting to it using the mongo shell for basic CRUD operations on databases and collections of documents.
This document provides an introduction and overview of MongoDB. It begins with defining what a database and NoSQL database are. MongoDB is introduced as a popular open-source document-oriented NoSQL database that stores data in BSON documents. The document outlines some key advantages of MongoDB like its flexibility and support for many programming languages. It then covers how to set up a local MongoDB server, perform basic CRUD operations, and query documents. Finally, it introduces MongoDB Atlas as a cloud database service that handles deploying and managing MongoDB in the cloud.
This document provides an overview of MongoDB including what MongoDB is, its advantages over SQL databases, different types of NoSQL databases, and basic CRUD operations in MongoDB using examples. Key points covered include MongoDB being a document-based and schema-less database, its advantages like scalability and flexibility with semi-structured data, the four main types of NoSQL databases, and examples of insert, find, update, and remove operations in MongoDB.
MongoDB is a horizontally scalable, schema-free, document-oriented NoSQL database. It stores data in flexible, JSON-like documents, allowing for easy storage and retrieval of data without rigid schemas. MongoDB provides high performance, high availability, and easy scalability. Some key features include embedded documents and arrays to reduce joins, dynamic schemas, replication and failover for availability, and auto-sharding for horizontal scalability.
This document provides an overview of MongoDB, including its key features such as document-oriented storage, full index support, replication and high availability, auto sharding, querying capabilities, and fast in-place updates. It also discusses MongoDB's architecture for replication, sharding, and configuration servers.
This document provides an overview of NoSQL databases and MongoDB. It states that NoSQL databases are more scalable and flexible than relational databases. MongoDB is described as a cross-platform, document-oriented database that provides high performance, high availability, and easy scalability. MongoDB uses collections and documents to store data in a flexible, JSON-like format.
The document outlines an incremental indexing framework to index database tables using Apache Solr. It proposes using database views to collate relevant data from multiple tables and batch processing to periodically fetch updated records and convert them to XML documents to post to Solr. The key components are database views, a data fetcher, an XML converter, an indexer controller class, and a job scheduler that coordinates periodic indexing based on configured triggers.
This document discusses Excel database functions that perform calculations on subsets of data in a database table based on criteria. It provides the syntax and overview of several common database functions, including DAVERAGE, DCOUNT, DCOUNTA, DGET, DMIN, DPRODUCT, DSTDEV, and DSUM. These functions allow the user to calculate metrics like average, count, minimum, product, and sum on only the records in the database that match specified criteria, rather than the entire dataset.
This document provides information about MongoDB, including:
- MongoDB is a non-SQL database that stores data as flexible documents rather than rows and tables. It is suitable for large, unstructured datasets.
- Key features include document-oriented storage, full indexing support, replication for high availability, auto-sharding for scalability, and querying capabilities.
- CRUD operations like insert, find, update, and delete can be performed on MongoDB collections and documents using methods like db.collection.insert() and db.collection.find(). Aggregation operations allow computing results by processing documents.
The document provides an overview of building a REST API with Node.js and Express. It discusses setting up a MongoDB database using Mongoose as an ODM. It describes defining schemas and models, and using models to perform CRUD operations. It also covers creating routes and controllers to build out the REST API endpoints.
Basic drug information resources:
Drug information is current, critically examined, relevant data about drugs and drug use in a given patient or situation.
Current information uses the most recent, up-to-date sources possible.
Critically examined information.
Relevant information must be presented in a manner that applies directly to the circumstances under consideration (e.g. patient parameters, therapeutic objectives, alternative approaches).
This presentation provides a comprehensive overview of pleural effusion, a condition characterized by the accumulation of excess fluid in the pleural space. It covers the types, causes, clinical features, diagnostic methods, and treatment options, with illustrative visuals and case-based insights. Ideal for medical students, healthcare professionals, and anyone seeking a deeper understanding of pleural diseases
Awake Craniotomy with endoscopic support, guided by intraoperative ultrasound...Dr. Damian Lastra Copello
Awake Craniotomy with endoscopic support, guided by intraoperative ultrasound, Imeka Neuronavigator and MRI for excision of low-grade Astrocytoma in Sharab Hospital. Case Report.
Fontes C1; Sama Y2; Sulayman S 3; BaldehS 4; Ceesay A5; Copello DL6
1. Carlos Fontes. Licensed Nurse in Anesthesiology and Resuscitation. Master's Degree in Emergencies, Assistant Professor University of Medical Sciences of Camaguey. Cuba. Anesthesiology Service, Sharab Hospital. Republic of The Gambia.
2. Sama Yamundaw. Nurse Anesthesiologist Nurse. Anesthesiology Service at Sharab Hospital. Republic of The Gambia
3. Sulayman Sima. Sharab Hospital Surgery Service. Republic of The Gambia.
4. Sanna Baldeh. Scrubs Nurse. Sharab Hospital Surgery Service. Republic of The Gambia.
5. 5 Abdoulie Ceesay. Scrubs Nurse. Sharab Hospital Surgery Service. Republic of The Gambia
6. Dr.Damian Lastra Copello. Consultant Neurosurgeon.MD. Emergency and Critical Care Fellowship. Neuro-Oncology and Spine Surgeon, Lecturer, Researcher, Santiago de Cuba Medical Sciences University, Havana University, Cuba. Neurosurgery Service Sharab Hospital. The Gambia.
ORCID: 0000-0002-9393-1933
Abstract
Low-grade astrocytomas are considered low-grade gliomas. Low-grade gliomas are brain tumors that grow slowly and require specialized care.
They are a group of tumors that include: fibrillary astrocytoma, protoplasmic astrocytoma and gemistocytic astrocytoma. They differ from their counterpart high-grade astrocytomas, because they have a better prognosis and longer survival, although each of them is a different disease with a different course and prognosis.As a group, they represent 26.6% of all tumors derived from glial cells in the brain.Separated by age, they represent approximately 15% of intracranial tumors in adults and 25% in children. (1 -8)
The age of presentation of these tumors in adults is around the 4th decade of life. The frontal lobe is the most frequent location, followed by the temporal and parietal lobes.
Currently, technology has increased the safety of surgical procedures, with the arrival of techniques such as neuronavigation, stereotaxy, transoperative brain mapping, transoperative ultrasound or ultrasonic aspirator; all of them in contemporary times must be used with reasoning for the greater benefit of the patient.
A craniotomy is a complex neurological procedure that involves opening the skull, performing the necessary operation, and closing the skull, securing the bone in its original position. (4 -10)
Awake craniotomy is mainly used for mapping and resection of lesions in vitally important brain areas where imaging is not sufficiently sensitive. These are most commonly speech and motor areas. In all sedation-anesthesia techniques, the patients are awake and able to speak and/or move during the mapping phase.
It is a technique used to improve perioperative outcomes, achieving a faster recovery of the patient with a reduction in the percentage of postoperative complications.
Wound healing in periodontology is a complex biological process that occurs following periodontal surgery or injury to the tissues of the periodontium, including the gingiva, periodontal ligament, cementum, and alveolar bone. The goal is to restore the damaged tissues and promote functional healing, minimizing complications such as infection or tissue breakdown.
The process can be divided into four main stages: hemostasis, inflammation, proliferation, and remodeling.
1. **Hemostasis**: Immediately following surgery or injury, the body works to stop bleeding through blood clot formation, which serves as a protective barrier and a matrix for tissue regeneration.
2. **Inflammation**: This phase is characterized by the body's immune response to clear debris and bacteria. It typically lasts for a few days and involves the influx of inflammatory cells like neutrophils and macrophages, which aid in cleaning the wound site and preventing infection.
3. **Proliferation**: During this phase, the body begins to rebuild the damaged tissues. Fibroblasts proliferate, synthesizing collagen and extracellular matrix components. New blood vessels form in a process called angiogenesis, which ensures a steady supply of nutrients and oxygen for tissue repair. This phase also involves epithelial migration over the wound site, covering the exposed tissue.
4. **Remodeling**: The final stage is characterized by the maturation of the tissue, where collagen fibers are reorganized and the wound strengthens over time. This phase can last for several months, as the tissues return to their normal structure and function.
Successful wound healing in periodontics is crucial for long-term outcomes, such as tissue regeneration, improved periodontal health, and prevention of further periodontal damage.
Chair, Jonathan S. Appelbaum, MD, FACP, AAHIVS, prepared useful Practice Aids pertaining to HIV for this CME/MOC/NCPD/CPE/AAPA/IPCE activity titled “Defining and Delivering Person-Centric HIV Care in Key Populations.” For the full presentation, downloadable Practice Aids, and complete CME/MOC/NCPD/CPE/AAPA/IPCE information, and to apply for credit, please visit us at https://bit.ly/4eVxdWJ. CME/MOC/NCPD/CPE/AAPA/IPCE credit will be available until April 27, 2026.
duce their risk of acquiring HIV.**
* **Highly effective when taken consistently.**
* **Requires regular HIV testing and medical monitoring.**
• **Post-Exposure Prophylaxis (PEP):**
* **Antiretroviral medications taken after a potential exposure to HIV to prevent infection.**
* **Must be started within 72 hours of exposure.**
* **Typically involves a 28-day course of ART.**
• **Harm Reduction Strategies:**
* **Needle Exchange Programs:** Provide clean needles and syringes to intravenous drug users to reduce the risk of sharing needles and transmitting HIV.
* **Opioid Substitution Therapy:** Using medications such as methadone or buprenorphine to treat opioid addiction.
• **Education and Awareness:**
* **Providing accurate information about HIV transmission, prevention, and treatment.**
* **Addressing stigma and discrimination associated with HIV.**
**VIII. Global Impact of HIV/AIDS**
HIV/AIDS has had a profound impact on global health and development.
• **Prevalence:** An estimated 38.4 million people worldwide were living with HIV in 2021.
• **New Infections:** Approximately 1.5 million new HIV infections occurred in 2021.
• **Deaths:** 650,000 people died from AIDS-related illnesses in 2021.
• **Regional Differences:** The burden of HIV/AIDS is disproportionately high in sub-Saharan Africa.
• **Impact on Life Expectancy:** HIV/AIDS has significantly reduced life expectancy in many countries.
• **Economic Impact:** HIV/AIDS has had a negative impact on economic development, particularly in countries with high prevalence rates.
• **Social Impact:** HIV/AIDS has led to stigma, discrimination, and social isolation for affected individuals and communities.
**IX. Ongoing Research and Future Directions**
Research continues to play a vital role in the fight against HIV/AIDS.
• **Cure Research:** Scientists are working to develop a cure for HIV infection, which could involve eliminating the virus from the body or achieving long-term remission without the need for ART.
• **Vaccine Development:** Efforts are underway to develop a safe and effective HIV vaccine that could prevent new infections.
• **Improved Treatment Strategies:** Researchers are developing new antiretroviral drugs that are more effective, easier to take, and have fewer side effects.
• **Prevention Strategies:** Scientists are exploring new prevention strategies, such as long-acting injectable PrEP and broadly neutralizing antibodies.
• **Understanding HIV Reservoirs:** Research is focused on understanding HIV reservoirs, which are cells in the body where HIV can hide and persist even during ART.
• **Addressing Co-morbidities:** Research is exploring how HIV infection affects other health conditions, such as cardiovascular disease, cancer, and neurological disorders.
**X. Conclusion**
HIV/AIDS remains a significant global health challenge, but significant progress has been made in recent decad
The Physiology of Central Nervous System - Sensory PathwaysMedicoseAcademics
Learning Objectives:
1. Enumerate the sensory pathways
2. Enlist the sensations carried by the Dorsal Column Medial Lemniscus (DCML) system
3. Trace the DCML tract
4. Describe the characteristics of DCML system
5. Enlist the sensations carried by the Spinothalamic tract/Anterolateral System (ALS)
6. Trace the Spinothalamic tract/Anterolateral system
7. Compare the characteristics of DCML and ALS
8. Correlate the functions of DCML and ALS with the sensory loss seen in Brown-Sequard syndrome
Hello friends, welcome to Dubey Clinic!
If you are a male and looking for a sexologist doctor for personal treatment or medicine then this information is helpful for you. As we know a sexologist doctor is a specialist in his medical faculty to treat patients who are suffering from any kind of sexual problems. He is a specialist in the study of sexuality, sexology, sexual dysfunction, sexual desire, behavior, gender-identity, anatomy and reproductive health issues. He practices in a clinic or hospital to provide his treatment and medicine privileges.
World renowned Ayurvedacharya Dr. Sunil Dubey is the best sexologist doctor in Patna, Bihar who provides his comprehensive treatment for married and unmarried people at Dubey Clinic. He is a highly qualified Ayurvedic doctor who is an expert in sexology medicine and therapy. In his treatment, he uses the entire branches of Ayurveda (modern, traditional, specific and others) to treat his sexual patients. He is also a successful researcher in this Ayurvedic sexologist profession who has successfully done his research on various sexual diseases in men and women.
Common Sexual Problems in men:
Based on his daily practice, treatments and research; he says that both married and unmarried men can struggle with their sexual problems. He says that men struggle with erectile dysfunction, premature ejaculation, lack of sexual desire, culture-specific syndromes, ejaculation disorders, sexually transmitted infections, performance anxiety disorder and other sexual problems. Various factors are responsible for sexual problems and among them; physical, psychological, lifestyle, hormonal, medical conditions and emotional factors play a vital role in leading a person to sexual problems.
Ayurvedic Treatment for Overall Male Sexual Problems:
Dr. Sunil Dubey says that Ayurveda has infallible solutions to deal with all sexual problems of men. The approach of Ayurveda focuses on balancing the doshas in the body, which are the cause of sexual disorders. It has a natural system to cure problems, which is the basis of all medicines. He provides his comprehensive treatment to each and every sexual patient with the help of Ayurveda.
First, he identifies the underlying medical conditions (diabetes, cardiac problems, kidney disease and chronic illness) that play a vital role in this sexual problem. He also helps in identifying psychological factors (stress, depression, anxiety, relationship issues and emotional factors) that indirectly affect sexual health. Providing a holistic approach of treatment, he provides clinically proven Ayurvedic medicine, herbal remedies, quality-proven Ayurvedic Bhasma and vital guidance of sexual wellness.
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BIOMECHANICS & KINESIOLOGY OF THEHIP COMPLEX.pptxdrnidhimnd
The cuplike concave socket of the hip joint is called the acetabulum and is located on the lateral aspect of the pelvic bone (innominate or os coxa).
Until full ossification of the pelvis occurs between 20 and 25 years of age.
The periphery of the acetabulum (lunate surface) is covered with hyaline cartilage.
This horseshoe-shaped area of cartilage articulates with the head of the femur and allows for contact stress to be uniformly distributed.
The inferior aspect of the lunate surface (the base of the horseshoe) is interrupted by a deep notch called the acetabular notch.
The acetabular notch is spanned by a fibrous band, the transverse acetabular ligament, that connects the two ends of the horseshoe.
The acetabulum is deepened by the fibrocartilaginous acetabular labrum, which surrounds the periphery of the acetabulum. The acetabular fossa is non-articular; the femoral head does not contact this surface.
The acetabular fossa contains fibroelastic fat covered with synovial membrane.
This in-depth lecture by Dr. Faiza, Assistant Professor of Physiology and a distinguished graduate of Allama Iqbal Medical College (Best Graduate, MBBS 2017), offers a thorough exploration of the neurophysiology of pain and temperature sensation. With advanced qualifications including FCPS in Physiology, CHPE, DHPE (STMU), MPH (GC University), and MBA (Virtual University), Dr. Faiza brings both clinical insight and pedagogical clarity to complex sensory concepts.
🔍 What You’ll Learn in This Lecture:
I. Pain Sensation:
Types of Pain: Acute (fast, sharp) vs. Chronic (slow, burning)
Nociceptors: Distribution, types (mechanical, thermal, chemical, polymodal), and functional characteristics
Pain Receptor Activation:
TRPV1 (heat, vanilloids), TRPA1 (cold, mechanical)
ASICs (acid-sensing ion channels)
Bradykinin, prostaglandin, and purinergic receptors
Mechanism of Pain Transmission:
Rate of tissue damage as a key determinant
Pain stimuli: mechanical spasm, thermal injury (>45°C), ischemia-induced chemical pain
Dual Pain Pathways:
Neospinothalamic Tract (Fast pain): Aδ fibers, glutamate neurotransmission, thalamic projection
Paleospinothalamic Tract (Slow pain): C fibers, substance P and glutamate, brainstem involvement
II. Central Processing of Pain:
Major relay centers: Thalamus, Reticular formation, Periaqueductal gray, Mesencephalon
Functional roles of cerebral cortex vs. brainstem in pain perception
Effects of anterolateral cordotomy and thalamic ablation
III. Thermal Sensation:
Perception spectrum: Freezing cold → Burning hot
Receptor Types:
Cold Receptors: Aδ and C fibers; peak at ~24°C
Warm Receptors: Type C fibers; active from ~30–49°C
Thermal Pain Receptors: Activated at extremes; overlap with nociceptors
Mechanism of Thermal Transduction:
Based on metabolic rate modulation and intracellular chemical reaction dynamics
Adaptation Properties:
Rapid initial decline with ongoing stimulation
Importance of dynamic change (falling/rising temperature) over static input
Spatial Summation:
Larger surface area → enhanced detection (as fine as 0.01°C)
Small area → requires larger temperature shifts
🧠 Clinical Relevance:
Phantom limb pain: central sensitization, cortical plasticity
Mechanistic differences between local anesthesia and opioid response
Importance of understanding dual pain pathways in anesthesia, pain management, and neurosurgery
🎯 Ideal For:
MBBS, BDS, and Nursing students
Postgraduate Physiology and FCPS candidates
Medical educators and examiners
Professionals preparing for PLAB, USMLE, and other licensing exams
Chair and Presenter, Sharon J. Sha, MD, MS, Alireza Atri, MD, PhD, and Henrik Zetterberg, MD, PhD, discuss Alzheimer’s disease in this CME/MOC/EBAC/NCPD/AAPA activity titled “Taking the Lead in Timely Diagnosis of AD: Incorporating Biomarkers Into Routine Patient Care.” For the full presentation, downloadable Practice Aids, and complete CME/MOC/EBAC/NCPD/AAPA information, and to apply for credit, please visit us at https://bit.ly/3Qgerj9. CME/MOC/EBAC/NCPD/AAPA credit will be available until May 22, 2026.
he pleura is a thin, double-layered membrane that surrounds the lungs and lines the inside of the chest cavity. It has two layers:
Visceral pleura: covers the surface of the lungs.
Parietal pleura: lines the chest wall, diaphragm, and mediastinum.
Between these two layers is the pleural cavity, a small space filled with a thin film of lubricating fluid that reduces friction during breathing movements. The pleura helps protect the lungs and allows them to expand and contract smoothly within the chest.
1. MEET MONGODB
MongoDB is a document-oriented database.
It is a NoSQL database, meaning it does not use a traditional relational
database structure.
MongoDB is schema-less, meaning that you do not need to define the
structure of your data in advance.
MongoDB is highly scalable and can be used to store large amounts of data.
2. MEET MONGODB
MongoDB can manage
Structured data
Semi structured data
Unstructured data
NoSQL Databases
No table
No row
No complex join
3. MEET MONGODB
Advantages
Schema less
single object
No complex joins
Deep query-ability
Tuning
Ease of scale-out
Uses internal memory for storing
Where to Use MongoDB
Big Data
Content Management and Delivery
Mobile and Social Infrastructure
User Data Management
Data Hub
8. SAMPLE DOCUMENT
_id is a 12 bytes hexadecimal number
First 4 bytes = current timestamp
Next 3 bytes = machine id
Next 2 bytes = process id
Last 3 bytes = incremental VALUE
9. MONGODB ATLAS
MongoDB Atlas is a cloud-based database service
That makes it easy to deploy, manage, and scale
MongoDB databases
Atlas is a fully managed service, so you don't need to
worry about the underlying infrastructure
Atlas is available on a variety of cloud providers,
including AWS, Azure, and Google Cloud Platform
10. Download & Install MongoDB Community Server
Download & Install MongoDB Compass
Connect Compass With Server
INSTALL MONGODB ENVIRONMENT
15. DATABASE RELATED METHODS
db.help()
Common db objects. Displays method descriptions
db.hostInfo()
Returns a document record containing information about the operating system MongoDB is running on.
db.getName()
Returns the name of the current database.
db.getMongo()
Returns the name of the current database.
db.currentOp()
Reports the current in-progress operations.
16. DATABASE RELATED METHODS
db.dropDatabase()
Removes the current database.
db.getCollectionInfos()
Returns collection information for all collections in the current database.
db.getCollectionNames()
Lists all collections in the current database.
db.getLastError()
Checks and returns the status of the last operation
db.getLastErrorObj()
Returns the status document for the last operation.
17. DATABASE RELATED METHODS
db.isMaster()
Returns a document object containing a status report for the replica set.
db.getReplicationInfo()
Returns statistics for a replica set.
db.listCommands()
Displays a list of common database commands.
db.logout()
Terminates an authenticated session.
db.printCollectionStats()
Display statistics for each collection.
18. DATABASE RELATED METHODS
db.serverBuildInfo()
Returns a mongod documentation record containing the compile parameters for the instance.
db.serverStatus()
Returns a document that provides an overview of the state of the database process.
db.shutdownServer()
Cleanly and safely stops the current mongod or mongos process.
db.stats()
Returns a document record containing a report on the current database state.
db.version()
Returns the version number of the mongod instance:
19. DATABASE RELATED METHODS
db.createCollection('demo')
Returns a mongod documentation record containing the compile parameters for the instance.
db.CollectionName.drop()
It completely removes a collection from the database and does not leave any indexes associated with the dropped collections
22. FIND QUERY
The findOne() returns a single
document from a collection that
satisfies the specified condition.
The find() method finds the
documents that satisfy a specified
condition and returns a cursor to the
matching documents
24. COMPARISON QUERY OPERATOR
$eq: Equal To Operator
$lt: Less Than Operator
$lte: Less Than or Equal To Operator
$gt: Greater Than Operator
$gte: Greater Than or Equal To Operator
$ne: Not Equal To Operator
$in: In Operator
$nin: Not In Operator
25. LOGICAL QUERY OPERATOR
$and: Logical AND Opeartor
$or: Logical OR Operator
$not: Logical NOT operation
$nor: Logical NOR operation
26. ELEMENT QUERY OPERATOR
$exists: Matches documents that have the specified field.
$type: Selects documents if a field is of the specified type.
28. EVALUATION QUERY OPERATOR
$expr
Allows use of aggregation expressions within the query language.
$jsonSchema
Validate documents against the given JSON Schema.
$mod
Performs a modulo operation on the value of a field and selects documents with a specified result.
$regex
Selects documents where values match a specified regular expression.
$text
Performs text search.
$where
Matches documents that satisfy a JavaScript expression.
36. UPSERT
Upsert is a combination of update and insert. Upsert performs two functions:
Update data if there is a matching document.
Insert a new document in case there is no document matches the query criteria.
37. MEET AGGREGATION
Allow you to process multiple documents and return the results.
To perform aggregation operations, use aggregation pipelines.
An aggregation pipeline contains one or more stages that process
the input documents.
41. CAMPARISON OPERATOR AGGREGATION
$eq: Equal To Operator
$lt: Less Than Operator
$lte: Less Than or Equal To Operator
$gt: Greater Than Operator
$gte: Greater Than or Equal To Operator
$ne: Not Equal To Operator
$in: In Operator
$nin: Not In Operator
42. LOGICAL OPERATOR AGGREGATION
$and: Logical AND Opeartor
$or: Logical OR Operator
$not: Logical NOT operation
$nor: Logical NOR operation
43. ELEMENT QUERY OPERATORS AGGREGATION
$exists: Matches documents that have the specified field.
$type: Selects documents if a field is of the specified type.