Journal of Clinical Forensic Sciences

Forensic science is a dynamic field of knowledge and skills that can be very useful and helpful in proceeding with criminal investigations. The purpose of the study was to ascertain how police officers of various ranks felt about the use of forensic services in criminal investigations. The sample size inclded 100 police officers from all categories of departments like Constables, Head constables, Sub-inspectors, Inspectors, Deputy Inspector General of police, Superintendents of police, Director General of Police from the Kerala region, and Police trainers under the Central Academy of Police And Training (CAPT) in the Bhopal region. The data was gathered using a structured questionnaire and a purposeful sampling approach. The outcome of the study reveals that most of the police officers were not aware of the role of forensic services played in criminal investigations. Their level of knowledge depends on their grade and year of experience. First responders like Constables and Sub-Inspectors have limited knowledge of forensic science, whereas officers working at higher levels of the police department, such as the Director General of Police, Deputy Inspector General of Police, Superintendent of Police and Inspectors are able to utilize forensic science during investigations.

Microsatellites, also known as short tandem repeats (STRs), account for 3% of the human genome and have been associated with a number of disorders. More de novo mutations occur in each generation because of them than from any other variation, although their importance in naturally occurring diseases like autism and neuro developmental disorders has not yet been investigated. The core of forensic DNA profiles are STRs. The sterile nature of PCR necessitates the use of gloves, autoclaving, sterile settings, and DNA and D Nasefree reagents. An experiment's negative control aids in the detection of contamination. DNA sequences with short tandem repeats (STR) have become commonplace, emphasizing the importance of examination. Although validation is crucial for forensic samples that comprise mixtures, the introduction of multiplexed reactions has made STR analysis easier in case work. Genetic analysis of STR loci has proven to be the most accurate way to identify biological components in forensic investigations and human remains. The utilization of primer sequences to differentiate between sequences and the capacity to distinguish across over lapping size ranges are two advantages of STR amplicons. Although contamination within farmed cell lines continues to be an issue, contamination across species and within individual species happens in considerable percentages.

This study focuses on offline script identification of handwritten Gujarati script documents using Optical Character Recognition (OCR) techniques. The goal is to develop an efficient system capable of accurately identifying the Gujarati script from handwritten documents. The process begins with the collection of a diverse dataset of offline handwritten Gujarati script documents. The dataset includes various handwriting styles to ensure the model's adaptability. Ground truth labels are annotated for training and evaluation purposes. Preprocessing techniques are employed to enhance the image quality of the handwritten documents. These techniques involve noise removal, image resizing, and normalization, resulting in clearer and standardized input for the subsequent steps. OCR techniques are then applied to perform the script identification task. These techniques involve the extraction of features and patterns specific to the Gujarati script from the pre-processed images. Machine learning algorithms, such as Support Vector Machines (SVM) or Convolutional Neural Networks (CNN), are trained on the extracted features to learn the script identification patterns. The trained model is evaluated using standard performance metrics, including accuracy, precision, recall, and F1 score. The dataset is divided into training and testing sets to assess the model's effectiveness in identifying the Gujarati script. Once the model is trained and evaluated, it can be deployed for practical use. Given an input handwritten document, the OCR system utilizes its learned patterns to accurately identify and classify the Gujarati script. Overall, this study presents a concise approach to offline script identification of handwritten Gujarati script documents using OCR techniques. The proposed system shows promise in accurately reorganizing the Gujarati script, paving the way for further advancements in this field

Web series, primarily targeting youth, have a significant psycho-social impact on their personal. Factors such as peer pressure, unemployment, low education, financial hardship, strained parent-child relationships, school dropout rates, and financial limitations influence young people's involvement in criminal activities. Media, particularly TV shows and web series, also affect the attitudes and behaviours of young people. Social media sites influence the consumption of online videos and web series by young people. To address this issue, the research suggests enforcing severe legal penalties, considering juvenile offenders as adults, encouraging volunteer work, offering to counsel, involving young people in sports activities, and promoting education. It also examines parental monitoring and restrictions on children's viewing habits and preferences for web series and analyses differences between urban and rural areas. The study also addresses ethical concerns related to the production and consumption of crime reality shows and their potential effects on trust in law enforcement and the justice system. By examining these factors and strategies, the research aims to provide insights and recommendations for policymakers, educators, mental health professionals, and parents to effectively address youth crime, promote positive psychological outcomes, and create a safer environment for young individuals in society.

Today, many Internet related technologies support us at every turn of our lives. Cloud computing is one of them which attracts more and more attention. Cloud computing is used to maintain, organize, and control as it owns mind computer resources online. It provides data and information, infrastructures, and software online. With the help of cloud storage, users can store and manipulate their data on the Internet and easily access it from every where in the vast world. Cloud events have come up recently in the market and attract a lot of businessmen or women. Its demand is increasing day by day among almost all organizations. However, like any other technology, it also has some risk factors. Since privacy is a significant concern for any organization, safely assessing data becomes the biggest concern. Cloud security is one of the most critical problems slowing cloud growth. Illegal attacks on cloud service systems, data leaking, data stealing, and data manipulation are frequently increasing. To provide safe and secure communication and transport of valuable and confidential information or data. This paper provides a review of some risk factors and security measures in the field of cloud computing and also concerns some security techniques companies use to secure user data.

Forensic science provides a diverse toolkit for investigating wildlife crimes, including DNA analysis, isotopic fingerprinting, morphological assessment, and chemical profiling. These approaches enable species identification, geographic origin determination, supply chain traceability, and the establishment of links to criminal activity. By delving into key concepts such as forensic techniques, challenges, ethical considerations, and future directions, this paper sheds light on the complexities of wildlife crime investigations and emphasizes the importance of interdisciplinary collaboration in conservation enforcement. Challenges in wildlife forensic investigations include sample preservation, inadequate databases for species identification, a lack of defined techniques, and the requirement for specialized knowledge. Overcoming these obstacles necessitates investment in research, technology, and capacity building within law enforcement and conservation organizations. The future of animal forensics depends on technological improvements, interdisciplinary collaboration, and more international cooperation. Portable forensic tools, big data analytics, genetic databases, and artificial intelligence (AI) applications show promise for boosting detection capabilities and prosecution rates. Additionally, creating relationships among scientists, law enforcement agencies, lawmakers, and communities is critical for long-term conservation success.