Big Data-Artificial Intelligence as a Systemic Procedure in the Field of Legal and Forensic Medicine | Chapter 7 | Science and Technology: Developments and Applications Vol. 6

The combination of Big Data (BD), Artificial Intelligence (AI) and Systemic Procedure (SP) constitutes a transversal technological approach focused on improving decision-making in the field of Medicine and, in particular, of Legal and Forensic Medicine. It is advisable that medical professionals become increasingly involved in the knowledge of new concepts, technologies and tools that are becoming increasingly essential for daily work. The terms Big Data and Artificial Intelligence are increasingly used, seeking a symbiosis between them. If we add to these terms the term Systemic Procedure, we have the necessary concepts to approach any field with greater efficiency.

In recent years, Big Data in Medicine has become a phenomenon and the field of Legal and Forensic Medicine could not be left out. The complexity of the data processed in this field is evident and, therefore, requires special treatment. The application of Artificial Intelligence to forensic sciences is increasingly less questionable since reliable, verifiable and reproducible results are obtained. The characteristics (the V’s) with which Big Data is endowed are those that define it. The sequence of characteristics continues: 3, 5, 7, 9. We will focus on the development of Big Data through seven characteristics (7 V’s).

The concepts (BD) and (AI) must go hand in hand with the growth of the greater computational capacity that is being developed and the improvement of the algorithms used.

The objective of this article is to analyze, from a theoretical point of view, Big Data (BD) and Artificial Intelligence (AI) within the field of Legal and Forensic Medicine as a Systemic Procedure (SP) with a holistic perspective. Implementing Fig. 2 through algorithms of both Big Data and Artificial Intelligence with a Systemic Procedure structure will help decision-making in general and, in particular, in the field of Legal and Forensic Medicine.

 

Author (s) Details

 

Elena Martín Pérez
Department of Medicine, University of Salamanca, Salamanca, Spain.

 

Quintín Martín Martín
Department of Medicine, University of Salamanca, Salamanca, Spain.

 

 Please see the book here:- https://doi.org/10.9734/bpi/stda/v6/4494

An Assessment of Economic Viability of Litopenaeus vannamei (Boone, 1931) Culture with Different Stocking Density in Earthern Pond during Monsoon Season along Saurashtra Region of Gujarat Coast, India | Chapter 3 | Emerging Issues in Agricultural Sciences Vol. 1

 The best use of seaside potential waste land for shrimp breeding has brought prosperity to the seaside community of Rajula taluka in Amreli precinct. Shrimp farming in India has grown efficiently over the last three decades, particularly in marshy states. The economic assessment of a insignificant farming experiment was completed activity in a commercial pond at Kavya Aqua Farm (Rajula) in the Saurashtra domain, which is a peninsular and southernmost indiscriminate Gujarat covering 793 hector district under shrimp culture with higher recommendation costs in the Litopenaeus vannamei farming trade. This case study showed that growing plants in liquid is a risky manufacturing, but farmers still view it as a lucrative and extreme-status trade. 25 shrimp producers competed in a primary survey that complicated structured interviews in order to draw information about the following traits: social profile, established costs, variable costs, result yield, gross income, and net income.  At larger stocking rates (80 pc/m2) has surrendered better production with extreme count and FCR (feed conversion percentage). The current finding suggests that lower hose density (30 pc/m2) and lower count (number of desktop computer/kg) at harvest were associated with higher financial returns. An evaluation of L. vannamei cultivation's economic feasibility and the grade of its support to the bettering of their socioeconomic situation has been created. This study will be a huge help in impressing other local farmers to purchase shrimp culture in order to improve their level of material comfort. The current shrimp ranching experiment with various hosiery densities along with survey study told that L. vannamei farming can be created profitable for narrow and marginal farmers by adopting lower inexpensive stocking rates and insignificant farming significantly donates to the creation of trade and infrastructure development of the seaside community and overall tumor of the coastal areas.

Author(s) Details:

A. S. Kotiya,
Fisheries Research and Training Center, Kaamdhenu University, Mahuva, Gujarat, India.

K. H. Vadher,
Department of Aquaculture, College of Fisheries Science, Kamdhenu University, Veraval- 362265, India.

Rana Rushirajsinh Jitendrasinh,
Department of Aquaculture, College of Fisheries Science, Kamdhenu University, Veraval- 362265, India.

Please see the link here: https://stm.bookpi.org/EIAS-V1/article/view/9768

Determining the Knowledge of Privatization of Agricultural Extension Services and Influencing Factors | Chapter 18 | New Innovations in Economics, Business and Management Vol.1

 The current study was conducted in five districts of Haryana with the goal of determining farmers' awareness about various privatisation of agricultural extension services (PAES) and the relationship between PAES knowledge and farmers' socioeconomic characteristics. The study's 200 farmers had all heard about the privatisation of agricultural extension services (PAES), had obtained information about PAES, knew the name and location of PAES, and had used PAES for agricultural objectives. They also recognised that PAES offered a variety of inputs, including HYV, seedlings, fertilisers, crop protection, spray pumps, infrastructure, and agricultural value addition. More than three-quarters of farmers (82.50 percent) had a good degree of knowledge on PAES. Extension contact (0.198) and education (0.179) were both very significant and positively associated with farmers' knowledge of agricultural extension services privatisation. Other important variables such as age, family type, occupation, land ownership, cropping intensity, irrigation facilities, social participation, socio-economic status, mass media participation, economic motivation, risk preference, and scientific orientation were found to be positively associated but not significant.

Author(S) Details

Jasvinder Kaur
Extension Education Institute, Nilokheri, India.

View Book:- https://stm.bookpi.org/NIEBM-V1/article/view/4397