Chemical-assisted physico-biological water mining system

Water mining is the process of extracting valuable water from a sewerage network by treating raw sewage to high standards. A range of commercially viable water mining treatment technologies are now available to treat sewage to specified water quality targets. Most of these technologies have minimal plant footprint requirements, making them suitable for decentralised operations. This paper discusses a hybrid water mining system that includes chemically assisted fine solids separation followed by a biological treatment process. Results from the first proof testing of this water mining system in Sydney, Australia are presented. The results confirm the suitability of the hybrid system for producing high-quality water for non-potable reuse

Readout electronics for a High-Rate CSC detector

A readout system for a high-rate muon Cathode Strip Chamber (CSC) is described. The system, planned for use in the forward region of the ATLAS muon spectrometer, uses two custom CMOS integrated circuits to achieve good position resolution at a flux of up to 2,500 tracks/cm{sup 2}/s

Implementation of Fault-tolerant Quantum Logic Gates via Optimal Control

The implementation of fault-tolerant quantum gates on encoded logic qubits is considered. It is shown that transversal implementation of logic gates based on simple geometric control ideas is problematic for realistic physical systems suffering from imperfections such as qubit inhomogeneity or uncontrollable interactions between qubits. However, this problem can be overcome by formulating the task as an optimal control problem and designing efficient algorithms to solve it. In particular, we can find solutions that implement all of the elementary logic gates in a fixed amount of time with limited control resources for the five-qubit stabilizer code. Most importantly, logic gates that are extremely difficult to implement using conventional techniques even for ideal systems, such as the T-gate for the five-qubit stabilizer code, do not appear to pose a problem for optimal control.Comment: 18 pages, ioptex, many figure

Behavioral and emotional functioning of children with specific learning disorders

Background: Specific learning disorder (SLD) is distinct from other Diagnostic and Statistical Manual (DSM)-5 mental disorders as it is recognized clinically in medicine and as a separate category in special education. Aims and Objectives: The study aimed to study the behavioral patterns and emotional functioning in children with SLD. Materials and Methods: This observational cross-sectional study was conducted at Tirunelveli Medical College, Tirunelveli, from January 2019 to April 2020 on 100 patients (study group 50 and control group 50) diagnosed with SLDs as per DSM5 criteria. A patient’s history includes age, gender, symptoms, and diagnosis. Assessments were done through a semi-structured proforma, Rutter Children’s Behavior Questionnaire (parent form), the Vanderbilt attention deficit hyperactivity disorder (ADHD) diagnostic rating scale, and the Rosenberg self-esteem scale (RSES). Results: The patient’s domicile in rural areas was 82% compared to urban areas, which is 18%. The Rutter scale – total score was higher in the study group, with a mean of 3.24, compared to the control group, with a mean of 0.44. The RSES compared self-esteem scores and the mean self-esteem scores of 21.56 and 14.72, respectively (P<0.0001). The deviant/antisocial behavior subscale scores were higher for the study group, with a mean score of 1.08, than the control group, with a mean score of 0.02 (<0.05). The ADHD (inattentive type) Vanderbilt scale was compared, and it was found to be positive for the study group and none for the control group (P=0.022). Conclusion: The scores show a significant correlation between higher rates of neurotic behavior and behavioral problems, predominantly inattentive types, in SLD children

Blockchain Technology for Enhancing Traceability and Efficiency in Automobile Supply Chain—A Case Study

A robust traceability system would help organizations in inventory optimization reduce lead time and improve customer service and quality which further enables the organizations to be a leader in their industry sector. This research study analyzes the challenges faced by the automotive industry in its supply chain operations. Further, the traceability issues and waiting time at different nodes of the supply chain are considered to be priority issues that affect the overall supply chain efficiency in the automotive supply chain. After studying the existing blockchain architectures and their implementation methodology, this study proposes a new blockchain-based architecture to improve traceability and reduce waiting time for the automotive supply chain. A hyper ledger fabric-based blockchain architecture is developed to track the ownership transfers in inbound and outbound logistics. The simulation results of the proposed hyper ledger fabric-based blockchain architecture show that there is an improvement in the traceability of items at different nodes of the supply chain that enhances the Inventory Quality Ratio (IQR) and the mean waiting time is reduced at the factory, wholesaler, and retailer, which thereby improves the overall supply chain efficiency. The blockchain embedded supply chain is more capable to eliminate the risks and uncertainties associated with the automotive supply chain. The benefits of adopting blockchain technology in the automotive supply chain are also described. The developed blockchain-based framework is capable to get more visibility into goods movement and inventory status in automotive supply chains

Biochemical changes in the oyster Crassostrea madrasensis (Preston) with maturation

Central Marine Fisheries Institute has perfected the technique of culturing the common edible oyster Crassostrea madrasensis (Preston). Venicataraman and Chari 1951 had studied the fluctuation in biochemeical composition in the whole oyster meat for different months in the naturally growing oysters of Ennore, Madras. In the present paper a study has been made about the biochemical composition with maturity in male and female oysters cultured at Tuticorin, Tamil Nad