Negative Specific Heat of a Magnetically Self-Confined Plasma Torus

It is shown that the thermodynamic maximum entropy principle predicts negative specific heat for a stationary magnetically self-confined current-carrying plasma torus. Implications for the magnetic self-confinement of fusion plasma are considered.Comment: 10p., LaTeX, 2 eps figure file

The Characteristic of Light Vehicles Emissions at Urban Roads in Makassar City

This study aims to analyze the characteristics of HC, NOx, SO2, CO, and CO2 emissions, originating from motor vehicle against vehicle travel time and average speed of vehicles on the main road networks, with heterogeneous traffic situation in the city of Makassar. Location studies conducted on eleven (11) roads, starting from 06:00 am until 20:00 pm. The survey data consists of the vehicle operational characteristics, including engine type, engine size and vehicle life-cycle, where derived from the secondary data. The primary data consists of travel time, vehicle emissions and vehicle speed. The emissions measurements performed with the emissions test equipment (portable measurement system), that is attached to the tool exhaust vehicle condition, moving on a highway with traffic flow heterogeneous situation. The results of the compilation data on vehicle operating characteristics obtained, 51 light vehicle categories with a percentage of 88.14% MPFI and Carburator engine types of 11.86%. The result shows that the amount of CO and CO2 emissions fluctuated over travel time and vehicle speed, while emissions of HC, NOx, and SO2 tends to be constant. The Lowest emissions of CO2 and CO on vehicle speeds ranging between 25-65 km/h and 35-65 km/h. The study results provide be a reference to the next research that is emission factor analysis for 51 light vehicle categories in operation in Makassar City

Minimal-memory realization of pearl-necklace encoders of general quantum convolutional codes

Quantum convolutional codes, like their classical counterparts, promise to offer higher error correction performance than block codes of equivalent encoding complexity, and are expected to find important applications in reliable quantum communication where a continuous stream of qubits is transmitted. Grassl and Roetteler devised an algorithm to encode a quantum convolutional code with a "pearl-necklace encoder." Despite their theoretical significance as a neat way of representing quantum convolutional codes, they are not well-suited to practical realization. In fact, there is no straightforward way to implement any given pearl-necklace structure. This paper closes the gap between theoretical representation and practical implementation. In our previous work, we presented an efficient algorithm for finding a minimal-memory realization of a pearl-necklace encoder for Calderbank-Shor-Steane (CSS) convolutional codes. This work extends our previous work and presents an algorithm for turning a pearl-necklace encoder for a general (non-CSS) quantum convolutional code into a realizable quantum convolutional encoder. We show that a minimal-memory realization depends on the commutativity relations between the gate strings in the pearl-necklace encoder. We find a realization by means of a weighted graph which details the non-commutative paths through the pearl-necklace. The weight of the longest path in this graph is equal to the minimal amount of memory needed to implement the encoder. The algorithm has a polynomial-time complexity in the number of gate strings in the pearl-necklace encoder.Comment: 16 pages, 5 figures; extends paper arXiv:1004.5179v

Superconducting Quantum Point contacts and Maxwell Potential

The quantization of the current in a superconducting quantum point contact is reviewed and the critical current is discussed at different temperatures depending on the carrier concentration as well by suggesting a constant potential in the semiconductor and then a Maxwell potential. When the Fermi wave length is comparable with the constriction width we showed that the critical current has a step-like variation as a function of the constriction width and the carrier concentration.Comment: 13 pages, 8 figures, some figures are clarified; scheduled to appear in an issue in MPLB Vo.21, (2007

ROLE OF GREEN TEA AND ITS CONSTITUENT EPIGALLOCATECHIN-3-GALLATE IN THE HEALTH MANAGEMENT

Green tea and its constituents is natural beverage used worldwide especially in Asian countries and also used as natural medicine for thousands of years. The current approaches for diseases treatment based on allopathic drugs offer restricted options, adverse effect and also show alterations in biochemical and genetic pathways. Considerable achievement on green tea and its constituents has been made based on experimental studies to confirm its mechanism of action in disease modulation but the exact mechanism still under investigation. It is thought that, green tea is rich in antioxidant and shows a pivotal role in the scavenging of free radical generation and prevention of disease pathogenesis. However, further studies are needed to confirm the safe dose and the exact mechanism of action in relation to health management. In the present review, an attempt has been made to explore the role of green tea in diseases prevention and its approach on modulation of various biochemical and physiological process.Â

The Optimization of Microbus-Based Public Transportation Facilities in Jayapura City

Public transport services will work well if there is a balance between supply and demand. The research aimed to analyze the performance and the needs for the number of public transportation facilities based on the microbuses in Jayapura City. The types of the public transports, which would be discussed, were the microbuses which operated in 12 routes of the total routes of 26 in Jayapura city; those were B1, B2, B3, B4, J1, J2, K, I1, E, G, IA and I. The analyses of the performance and the demand for number of public transports were analyzed based on the load factor and the break event in accordance with the value of the vehicles operating costs (BOK) in setting tariffs. The research results indicated that the standard performance value of the public transport route code of K, I1, G, IA were categorized as less, while the routes of B1, B2, B3, B4, J1, J2, E and IB were categorized as medium. The microbuses demand was only 50% of the total microbuses now operating in Jayapura city

Machine Learning Algorithms and Auditor’s Assessments of the Risks Material Misstatement: Evidence from the Restatement of Listed London Companies

The purpose of this study is to investigate the relationship between machine learning algorithms and auditors assessments of the risks of material misstatement and restatement. Additionally, a focus on the effect of machine learning algorithms (SVM, Naïve Bayes, and K-means) on misstatement and restatement in London companies. The final sample of the study is 304 firm year observations. Which covers the listed firms on the London Stock Exchange and the period from 2018 to 2020. Especially, the firms that restated their financial statements -even just once- during the study period. The results showed a positive significant effect of machine learning techniques (K-means, Naïve Bayes, and SVM) on the intentional misstatements, which means that using machine learning techniques helps in determining the intentional misstatements. The results also showed a negative significant effect of the same techniques (K-means, Naïve Bayes, and SVM) on the restatements, which means that using machine learning techniques helps in avoiding the restatements