Artificial Intelligence in Legal System: Pros, Cons and Challenges

Artificial intelligence (AI) implies a system that behaves like a human. The use of Artificial Intelligence started with the concept of robotics which is now part of almost every electronic device in the form of Google Assistant, Cortana, etc. Artificial Intelligence systems have various real-world applications such as customer services, speech recognition, automated stock trading, computer visions, etc. Artificial Intelligence is a field, which combines computer science and robust datasets, to enable problem-solving. It also encompasses sub-fields of machine learning and deep learning, which are frequently mentioned in conjunction with artificial intelligence. These disciplines are comprised of AI algorithms that seek to create expert systems that make predictions or classifications based on input data. With the global invasion of Artificial Intelligence, the concept so be brought closer to the legal system in India for deep learning information management to control the legal system in the country. Therefore, this paper strategically presents a study that evaluates the use of Artificial Intelligence in the legal system of the country. The paper also focuses on the advantages of Artificial Intelligence for the legal system

Biochemical Evaluation of SRH Analogs as Potential LuxS Inhibitors

Quorum sensing in bacteria is a process of cell-to-cell communication facilitated by small molecules called autoinducers. Interspecies quorum sensing is facilitated by the autoinducer AI-2. The enzyme LuxS catalyzes the formation of AI-2 from S-ribosyl homocysteine (SRH) in a wide variety of bacterial species. Inhibition of LuxS would therefore inhibit interspecies quorum sensing. The goal of this project is to establish biochemical assays for the evaluation of small molecules as potential LuxS inhibitors. The first assay is a conventional colorimetric assay that utilizes Ellman’s reagent to quantify the homocysteine byproduct of DPD production by LuxS. For this assay purified enzyme (LuxS), a negative control (LuxS C84A), and the substrate (SRH) are required. His-tagged LuxS and LuxS C84A have been purified from overexpression cultures of Escherichia coli cells freshly transformed with a vector harboring the appropriate gene. Chemically-synthesized and quantified SRH was also acquired after extensive efforts of our fellow organic chemists. Ellman’s assay was then performed to determine the activity of house-purified LuxS. This assay would be optimized in future to be performed in 96 well plate to avoid excess consumption of enzyme and substrate. In addition, a fluorescence proximity assay is envisioned for the evaluation of a subset of LuxS inhibitors that function by preventing protein dimerization. This assay requires that purified LuxS be conjugated with an appropriate fluorophore, likely via a cysteine residue. An appropriate LuxS variant i.e. LuxS Y71C to which a single fluorophore would attach was acquired after extensive troubleshooting. An appropriate fluorophore would be attached to this LuxS variant for determination of potential dimerization inhibition

Reconciling service levels by customers on a non-constrained production line for raw material and finished goods inventory levels

Supply chains are often under constant pressure to offer high service level to its customers by efficiently managing inventory levels despite the variability in demand, lead time etc. A national cat litter company, DEF Corporation, is trying to evaluate the optimal levels of inventory, both cycle stock and safety stock on a non-constrained production line which is constrained by the limited storage space for raw material. The research aims to develop an Economic Order Quantity (EOQ) model for DEF Corporation and to determine the amount of finished goods inventory essential to compensate for the limited amount of raw material inventory that could be stocked due to limited storage. The study would also calculate safety stocks to deal with demand uncertainties. The results would provide a model for calculating optimum levels of inventory that would manage demand variability. The study would be beneficial for DEF as it would avoid lost sales due to stock outs

Biology: Inquiry-Based Learning Assignment

Students perform a literature review on a biology topic, choose 2-3 papers published in scientific journals to discuss in their assignment, provide a final opinion on the topic, and some voluntarily present on their selected topic

COMMON FIXED POINT THEOREMS IN POLISH SPACE FOR NONSELF MAPPING

We prove some Common Fixed Point theorems for Random Operator in polish spaces, by using some new type of contractive conditions taking non-self mappings. Key Words: - Polish Space, Random Operator, Random   Multivalued Operator, Random Fixed             Point,   Measurable Mapping, Non-self mappin

A Cross-Sectional Study to Assess Quality of Care and Patient Satisfaction Using Theranow Telerehabilitation Program Post-THR and TKR Surgeries

Purpose: to study the quality of care and satisfaction of patients using a telerehabilitation program after THR and TKR surgeries by checking their NPS Methods: A cross-sectional survey was conducted among the 40 patients planned for TKR and/or THR surgeries and participating in TheraNow telerehabilitation program. Net Promoter Score scale was used to assess patient’s satisfaction and the likelihood of recommending TheraNow telerehabilitation program to others. Patients were asked to rate their satisfaction level on a scale of 0-10 after the program, 0 being the least satisfied and 10 being the most. Demographic details of the patients were also recorded. Results: Out of 40 Patients, 17 (42.5%) were males and 23 (57.5%) were females. The overall mean age of the study population was 65.20+8.41. The maximum number of patients (42.5%) belonged to 61-70 years of age group followed by the 71-80 years of age group (27.5%). The national average NPS score for the healthcare industry is 27 but the average NPS score in our study was 93. Conclusion: Excellent levels of patient satisfaction with total joint replacement were found and it shows that most patients who have had either a hip or knee replacement would be happy to recommend TheraNow rehabilitation programs in the future. The average NPS score in our study is 93 which is even more than the national average NPS score for the healthcare industry