Caribbean Journal of Sciences and Technology

ENTITY IDENTIFICATION PROBLEM ESTIMATION HEART DATA INTEGRATION

Dr g Lalitha Kumari, Y. Surekha — Sun, 30 Jun 2024 00:00:00 +0000

The incorporation of healthcare data from various sources is necessary for knowledge finding from various health data repositories. An essential research topic is preserving record linkage during the integration of medical data. In developed nations where patients' electronic health records are kept
with identifiers like their social security number (SSN), universal patient identifier (UPI), health insurance number, etc., researchers have offered a variety of solutions to this issue. Due to missing information, uncertainty in patient identification, and a high level of noise in patient information, these
methods cannot be properly used for record linking of health data from developing nations. People in developing nations lack medical ID cards with personalized health information. Health care facilities do not keep Social Security information or National ID numbers on file(SSN). The irony is that despite how many times a patient receives treatment or a diagnosis at the same hospital, his or her records will constantly be documented as being associated with a different patient with a different ID or serial number. In PATIENT IDENTIFICATION TECHNIQUE BASED ON SECURED RECORD LINKAGE(PITSRL) approach, NAMEVALUE algorithm is used to identify the name of the patient among diversity repositories.

MAXIMIZE FLEET VALUE AND SAFETY WITH AI: REAL-TIME VEHICLE TRACKING, TELEMATICS AND COMPLIANCE SOLUTIONS

Venkata Praveen Kumar Kaluvakuri — Sun, 30 Jun 2024 00:00:00 +0000

The contemporary world is highly vying, and increased dynamism is being registered in running different organizations' operations, including fleet management, which needs intelligent solutions to make vehicle fleets operational, safe, and compliant. This paper discusses the various changes AI has occasioned in the under-listed fields of fleet management: Real-time vehicle tracking, Telematics and compliance tracking. Real-time vehicle tracking systems using Artificial intelligence means that the fleet owner gains more control over the operations, enhancing planning on the right routes, fuel consumption, and possible theft cases. However, given that telematics has been incorporated into the usage of AI, the following advantages are offered: vehicle maintenance prediction, driver performance, and handling of fleets. Secondly, AI compliance solutions assist in implementing practices that may be formulated to prevent articles that allow penalties and safety measures. This paper also focused on the issues that can be expected in tapping those technologies and strategies that can be applied to reverse them. Thus, considering AI's potential in the context of the analyzed field of fleet management, it is possible to disclose new levels of value, safety, and optimization of the fleets presented in the paper. It can seem helpful to stakeholders interested in applying these technologies.

A NOVEL, EFFICIENT, GREEN METHODOLOGY FOR BIGINELLI-REACTION: BIODEGRADABLE SURFACTANT (RHAMNOLIPID)-CATALYZED SYNTHESIS OF DIHYDROPYRIMIDINES

ravi varala, Durga Prasad Beda — Sun, 30 Jun 2024 00:00:00 +0000

The current study aims to establish a simple, green, and effective technique for synthesizing 4-aryl-1,2,3,4-tetrahydropyrimidine-2(1H)-ones/thione using a novel rhamnolipid catalyst (biosurfactant) in water as a solvent.

KNOEVENGEL CONDENSATION: A REVIEW ON CYANOACRYLATES AND THEIR SYNTHETIC APPLICATIONS

Shanthi Merugu, purmima, Rama krishna — Sun, 30 Jun 2024 00:00:00 +0000

Strong and quick-acting adhesives belong to the cyanoacrylate family. These are widely used in industry, healthcare, and domestic settings. Moreover, they can be found in various topical skin adhesives as well as glues, plastics, paints, and inks. The authors of this mini-review provided
a brief overview of Knoevengel condensation in addition to highlighting the crucial synthetic uses of ethyl cyanoacrylates in the production of numerous key heterocyclic compounds.