Occurrence of Vibrio parahaemolyticus in marine prawns and environments

Qualitative studies on the microflora of slime and guts of prawns and of sea water off Nagapattinam showed the presence of Vibrio in the slime and sea water. They were further tested for Vibrio parahaemolyticus types and related bio-types. Evidence of its occurrence is given. This points to the need for further studies on the distribution of this organism in terms of public health significance

A Review of Significant Challenges with Quantum Communication and Computing

Recent times have witnessed tremendous competition towards quantum optics in business as well as academia, motivated by rapid growth in quantum computing. Overall scalability of quant present invention relates generally has exceeded several orders of magnitude, whereas ubiquitous quantum computers has accommodated as many as hundreds of quantum bits (i.e., thousands of qubits). Robust machines are still being created. Therefore, ethnicity has motivated an immense amount of research papers and reports. For all those people who read would really like to learn further the concepts of quant communication and computing from the machine learning perspective, this article provides an introduction. It begins with such an informative approach until continuing well over key turning points and most recent developments in quantum computing. These core features of such a virtual network are broken down into four significant issues in this paper, each of which has been closely investigated. A, B, C, and D are quantum mechanics, networking, security, and algorithms, accordingly. The article wraps up with the major challenges, the significant research areas, as well as the latest developments

A COPRAS-F base multi-criteria group decision making approach for site selection of wind farm

Today global warming is on the rise and the natural resources are getting consumed at a faster rate. Power consumption has increased many folds to cater the human need. Thus renewable energy resources are the only option available at this juncture. Wind energy is one of the renewable energy. Location selection for wind farm takes an important role on power generation. However, the location selection is a complex multicriteria problem due to the criteria factors which are conflicting in nature as well as uncertain. The process becomes more complex when a group of decision makers are involved in decision making. In the present study, a COPRAS (COmplex PRoportional ASsessment) based multi-criteria decision-making (MCDM) methodology is done under fuzzy environment with the help of multiple decision makers. More specifically, this study is aimed to focus the applicability of COPRAS-F as a strategic decision making tools to handle the group decision-making problems

Efficient Stand-Alone Generalized Inverse Algorithms and Software for Engineering/Sciences Applications: Research and Education

Efficient numerical procedures for finding the generalized (or pseudo) inverse of a general (square/rectangle, symmetrical/unsymmetrical, non-singular/singular, real/complex numbers) matrix and solving systems of Simultaneous Linear Equations (SLE) are formulated and explained. The developed procedures and its associated computer software (under MATLAB computer environment) have been based on special Cholesky factorization schemes (for a singular matrix), the generalized inverse of the matrix product, and were further enhanced by the Domain Decomposition (DD) formulation. Test matrices from different fields of applications have been chosen, tested and compared with other existing algorithms. The results of the numerical tests have indicated that the developed procedures are far more efficient than existing algorithms. Furthermore, an educational version of the generalized inverse algorithms and software for solving SLE has also been developed to run any FORTRAN and/or \u27C\u27 programs over the web. This developed technology and software is freely available and can run on any device with internet connectivity and browser capability

A rare cause of dysmenorrhea-accessory cavitated uterine malformation: a case report

Accessory cavitated uterine malformation is a newly recognized mullerian anomaly where the uterine cavity is normal unlike other Mullerian anomalies and hence needs to be described more accurately. These are non-communicating ULMs that occur contiguously along the wall of the uterus. This case report is about a 31 years old female who came with complaints of acute severe dysmenorrhea with a chronic course for the past 2 years and was evaluated for a similar episode in the past where she was diagnosed as fibroid with cystic degeneration and treated with SPRM and OCP which gave no relief from symptoms. With another exacerbation of symptoms two years later, patient was evaluated with an USG suggesting hemorrhagic degeneration in rudimentary horn and gave two differentials- fibroid with cystic degeneration and adenomyoma, wherein the   latter was more likely. As a part of pre-op evaluation, MRI was done. Then came the third differential-ACUM [Accessory cavitated uterine mass]. Patient was counselled about the risk of infertility and uterine rupture in subsequent pregnancy as a post-op complication underwent laparoscopic surgery. Intraoperative and postoperative period was uneventful and HPE of the same confirmed the diagnosis. ACUM is a very treatable cause of severe dysmenorrhea and adequate awareness of this new entity will enable in making the diagnosis early

NIDANA VIVECHANA IN AKAALAJA JARA – REVIEW

Aging is defined as process of growing old, damage to cells, tissues and organs with the passage of time. Ayurveda being ancient system of medicine, clearly described about Jara and defined it as “Vayakrita slathamamsadi avastha” with other Lakshanas like Khalitya, Palitya, Smritinasha, Ksheenabala etc. In the blown up human civilization of present era and in the midst of increased various stress, improper diet, lack of exercise, low quality of food grain etc has adversely affected on the process of aging and may cause signs of premature aging, which is definitely an alarming sign and it may indicate the shorten lifespan. In Ayurveda prevention of disease has given utmost importance. To prevent any of the diseases one must know the causative factors properly, where Nidanaparivarjana is considered as first line of treatment in most of the diseases. “Everyone grows old”, Jara is an inescapable part of life but premature aging is an unnatural, untimely process. Prevention of this Akaalaja jara is possible only by understanding its Nidanas. There are so many internal and external factors which contribute for premature aging and this article is intended to explore those factors like Aharaja, Viharaja, Manasika nidanas to aim for targeted treatment

Synthesis and Characterization of Organo -Inorganic Nano composite Membranes for Waste water processes and Bioprocess applications

Poly ethylene imine (PEI)/Polyether sulfone (PES) and SiO2composite membranes were prepared by phase inversion method based on the in situ polymerization process with TEOS/CAL-SIL (Tetra ethyl orthosilicate-Si(OC2H5)4/calcium orthosilicate-Ca2SiO4) as a precursor for forming SiO2 inorganic particles which is also considered as a pore-forming agent. The influence of SiO2 particles on the morphology and the performance of the composite membrane were investigated by the means of FTIR, SEM, XRD, mechanical strength analysis and pure water flux tests. The results of FTIR shows the presence of silica with their corresponding symmetric and asymmetric vibrations compared with control membrane and shows the amorphous nature of the membranes. The morphology of composite membrane differing from their pure state and shows the formation of silica inorganic particles along with varying pore statistics. The greater degree of homogeneity and the absence of macro phase separation is the result of concurrent formation of inorganic network in polymer matrix

The influence of leadership and safety climate towards safety citizenship behavior in an instrumentation and service company

Safety behavior plays a significant role in reducing occupational injuries and accidents at the workplace especially in high risk industries and in manufacturing sectors. By improving the attitudes of the workers in organizations, safety and health aspects as well as the employees' well-being can be better determined. The study examines the perceptions and levels of employees in two local offices situated in Shah Alam and Singapore of a leading multinational instrumentation and service company towards an extended behavioral based safety program known as safety citizenship behavior with regards to six (6) variables; workers participation, safety training, perceived management commitment towards safety, safety communication and feedback, work pressure and safety-specific transformational leadership. One hundred and fifty two (152) questionnaires were distributed to the employees. Data collected from the responded one hundred and fifty one (151) respondents revealed that out of the six (6) variables mentioned, five (5) variables; workers participation, safety training, safety communication and feedback, work pressure and safety-specific transformational leadership showed significant relationship towards safety citizenship behavior. These findings have revealed valuable insights while mentioning several probable solutions for the company's management as well as for safety practitioners and future researchers to curb this ever constant threat in the present workforce

Identifying Implementation Bugs in Machine Learning based Image Classifiers using Metamorphic Testing

We have recently witnessed tremendous success of Machine Learning (ML) in practical applications. Computer vision, speech recognition and language translation have all seen a near human level performance. We expect, in the near future, most business applications will have some form of ML. However, testing such applications is extremely challenging and would be very expensive if we follow today's methodologies. In this work, we present an articulation of the challenges in testing ML based applications. We then present our solution approach, based on the concept of Metamorphic Testing, which aims to identify implementation bugs in ML based image classifiers. We have developed metamorphic relations for an application based on Support Vector Machine and a Deep Learning based application. Empirical validation showed that our approach was able to catch 71% of the implementation bugs in the ML applications.Comment: Published at 27th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2018