scholarly journals Unique Model of Criminal Record Management System in the Perspective of Somalia

2019 ◽  
Vol 3 (4) ◽  
Author(s):  
Mohammad Jahangir Alam
Keyword(s):  
Management System ◽  
Web Application ◽  
Search Algorithm ◽  
Record Management ◽  
Criminal Record ◽  
Unique Model ◽  
Binary Search Algorithm ◽  
Enforcement Authority ◽  
User Friendly ◽  
Online Web

The project Criminal Record Management System in the perspective of Somalia is a Criminal record management system that uses to record crime activities of criminals. It can be used to report criminal activities. This project is mainly useful for law and enforcement agencies in Somalia. The law and enforcement authority can preserve records of the criminals and search for any criminal using the system. This is an online web application with a database system in which police will keep the record of criminals who have been arrested.  We have used HTML, JavaScript, CSS, PHP, MySql and Bootstrap to develop this system.  We have also used binary search algorithm to find a criminal from the database. The project's interface is very user-friendly and helpful for authority.

CRAB: Blockchain Based Criminal Record Management System

2018 ◽  
pp. 294-303 ◽  
Author(s):  
Maisha Afrida Tasnim ◽  
Abdullah Al Omar ◽  
Mohammad Shahriar Rahman ◽  
Md. Zakirul Alam Bhuiyan
Keyword(s):  
Management System ◽  
Record Management ◽  
Criminal Record

scholarly journals RAD: a web application to identify region associated differentially expressed genes

2020 ◽  
Author(s):  
Yixin Guo ◽  
Ziwei Xue ◽  
Ruihong Yuan ◽  
William A. Pastor ◽  
Wanlu Liu
Keyword(s):  
Differentially Expressed Genes ◽  
Web Application ◽  
Distal Region ◽  
Differentially Expressed ◽  
Regulatory Function ◽  
Genome Wide ◽  
Wide Scale ◽  
Genomic Regions ◽  
User Friendly ◽  
Online Web

AbstractWith the advance of genomic sequencing techniques, chromatin accessible regions, transcription factor binding sites and epigenetic modifications can be identified at genome-wide scale. Conventional analyses focus on the gene regulation at proximal regions; however, distal regions are usually neglected, largely due to the lack of reliable tools to link the distal regions to coding genes. In this study, we introduce RAD (Region Associated Differentially expressed genes), a user-friendly web tool to identify both proximal and distal region associated differentially expressed genes. RAD maps the up- and down-regulated genes associated with any genomic regions of interest (gROI) and helps researchers to infer the regulatory function of these regions based on the distance of gROI to differentially expressed genes. RAD includes visualization of the results and statistical inference for significance.AvailabilityRAD is implemented with Python 3.7 and run on a Nginx server. RAD is freely available at http://labw.org/rad as online web service.

Development of Pusat Pengajian Diploma Industrial Training Online System (PiTOS): A Step Forward

2013 ◽  
Vol 321-324 ◽  
pp. 2528-2531 ◽  
Author(s):  
Rafizah Mohd Hanifa ◽  
Shamsul Mohamad ◽  
Ida Aryanie Bahrudin ◽  
Kamarudin Muhammad Firdaus
Keyword(s):  
Management System ◽  
Web Application ◽  
Database Management ◽  
Database Management System ◽  
Industrial Training ◽  
Web Based ◽  
Online System ◽  
Design And Implementation ◽  
User Friendly ◽  
Web Based System

This paper describes the design and implementation of the Pusat Pengajian Diploma Industrial Training Online System (PiTOS), which was designed to be a user friendly, generic, web-based system to ease accessibility to all vital information related to students’ industrial training in a more organized and efficient way in a paperless environment. The solution we developed is a web application, written using PHP and utilizes the MySQL as the database management system.

“PIRAMIDA TINGGI, A State of the Art to Fulfill Obligation of Forestry Permit on Watershed Rehabilitation at PT Pertamina Hulu Mahakam”

2020 ◽  
Author(s):  
P. Sarwanto
Keyword(s):  
Land Tenure ◽  
Management System ◽  
Web Application ◽  
Local Community ◽  
Oil And Gas ◽  
Cost Optimization ◽  
Field Work ◽  
Development Goals ◽  
Potential Risks ◽  
Oil And Gas Sector

Among other obligations imposed under the forestry permit, watershed rehabilitation planting is perceived by the upstream oil and gas sector as the most complex challenge to conquer. Despite its poor track in fulfilling timeline and required result, there are also other challenges to consider, for instance lack of critical location, weather, fire, land tenure, community habit and capability, and cost optimization. In attempt to respond these challenges, an innovation in management system is constructed at PT Pertamina Hulu Mahakam, embracing and tailoring all related challenges, difficulties, and complexities, escalating the activity to be beyond compliance. So that it will be able to deliver more than merely avoid the identified potential risks towards company. The management system, called PIRAMIDA TINGGI (Pemberdayaan Masyarakat untuk Melestarikan Hutan di Dunia demi Ketahanan Energi Nasional), actively involves government, community, and business sector as equilateral triangle that work together to perform watershed rehabilitation planting. Developed using ISO 9001:2015 process approach namely PDCA (Plan-Do-Check-Act), the PIRAMIDA TINGGI system is in line as well with NAWACITA (President Joko Widodo’s vision, mission and program). To encounter other issue found during field work, this system is equipped as well with another innovation tool named PARIDA, a geospatial mobile-desk top-web application that easily able to map and identify vegetation in real time for further geo-analyzing multi-purposes, to be operated by local community. Full set implementation of this system has benefitted all parties. To Company in form of significant cost efficiency around 13.9 MUSD and 7 days’ faster result delivery besides obligation fulfillment, for others in form of broader advantage of proven sustainability project that has gave contribution to 5P (People, Planet, Prosperity, Partnership and Peace), objectives required by UN Sustainable Development Goals 2030.

scholarly journals Advantages of using graph databases to explore chromatin conformation capture experiments

2021 ◽  
Vol 22 (S2) ◽  
Author(s):  
Daniele D’Agostino ◽  
Pietro Liò ◽  
Marco Aldinucci ◽  
Ivan Merelli
Keyword(s):  
Web Application ◽  
High Throughput Sequencing ◽  
Cell Types ◽  
Graph Database ◽  
Graph Databases ◽  
Sources Of Information ◽  
Chromosome Conformation ◽  
Wide Scale ◽  
User Friendly ◽  
Different Cell Types

Abstract Background High-throughput sequencing Chromosome Conformation Capture (Hi-C) allows the study of DNA interactions and 3D chromosome folding at the genome-wide scale. Usually, these data are represented as matrices describing the binary contacts among the different chromosome regions. On the other hand, a graph-based representation can be advantageous to describe the complex topology achieved by the DNA in the nucleus of eukaryotic cells. Methods Here we discuss the use of a graph database for storing and analysing data achieved by performing Hi-C experiments. The main issue is the size of the produced data and, working with a graph-based representation, the consequent necessity of adequately managing a large number of edges (contacts) connecting nodes (genes), which represents the sources of information. For this, currently available graph visualisation tools and libraries fall short with Hi-C data. The use of graph databases, instead, supports both the analysis and the visualisation of the spatial pattern present in Hi-C data, in particular for comparing different experiments or for re-mapping omics data in a space-aware context efficiently. In particular, the possibility of describing graphs through statistical indicators and, even more, the capability of correlating them through statistical distributions allows highlighting similarities and differences among different Hi-C experiments, in different cell conditions or different cell types. Results These concepts have been implemented in NeoHiC, an open-source and user-friendly web application for the progressive visualisation and analysis of Hi-C networks based on the use of the Neo4j graph database (version 3.5). Conclusion With the accumulation of more experiments, the tool will provide invaluable support to compare neighbours of genes across experiments and conditions, helping in highlighting changes in functional domains and identifying new co-organised genomic compartments.

scholarly journals An Interactive Web Application for the Statistical Analysis of Continuous Glucose Monitoring Data in Epidemiological Studies

2021 ◽  
pp. 193229682098557
Author(s):  
Alysha M. De Livera ◽  
Jonathan E. Shaw ◽  
Neale Cohen ◽  
Anne Reutens ◽  
Agus Salim
Keyword(s):  
Continuous Glucose Monitoring ◽  
Web Application ◽  
Diabetes Management ◽  
Glucose Monitoring ◽  
Epidemiological Studies ◽  
Interactive Software ◽  
Web Based ◽  
Software Applications ◽  
Visualization Of Data ◽  
User Friendly

Motivation: Continuous glucose monitoring (CGM) systems are an essential part of novel technology in diabetes management and care. CGM studies have become increasingly popular among researchers, healthcare professionals, and people with diabetes due to the large amount of useful information that can be collected using CGM systems. The analysis of the data from these studies for research purposes, however, remains a challenge due to the characteristics and large volume of the data. Results: Currently, there are no publicly available interactive software applications that can perform statistical analyses and visualization of data from CGM studies. With the rapidly increasing popularity of CGM studies, such an application is becoming necessary for anyone who works with these large CGM datasets, in particular for those with little background in programming or statistics. CGMStatsAnalyser is a publicly available, user-friendly, web-based application, which can be used to interactively visualize, summarize, and statistically analyze voluminous and complex CGM datasets together with the subject characteristics with ease.

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