Water disinfection using acoustic cavitation: A mini review

The waterborne disease is a major concern for India and root cause of this non-ability of water disinfection technology at affordable cost to all. Hence it is necessary to understand the disinfection of water to achieve goal of healthy society. Various methods and technologies like Chlorination, iodine, silver, coagulation flocculation, iron Nano particles, UV, Solar disinfection, distillation, Reverse osmosis, slow sand filters, activated charcoal filter, electrochemical oxidation, cavitation, plasma techniques, electrocoagulation, photo catalysis and many more have been evolved over the years. Despite of availability of techniques for water disinfection, but larger scale application still is a major challenge, especially in developing countries where almost eighty percent diseases are cause by waterborne. Acoustic cavitation is base technique highly useful for water disinfection. This mini review discussed various aspects of acoustic cavitation and potential application for water disinfection. Acoustic cavitation with chemical disinfection techniques is also very beneficial because it reduces the use of chemical so production of byproducts reduces automatically.

On the Development of Neuro-Fuzzy Expert System for Detection of Leghemoglobin (NFESDL) in Legumes

The regular supply of affordable complete meals most especially protein from animals has been threatened. Protein sourced from animals carry too many health risks. Obesity, cancer, diabetes, etc., have been traced to the consumption of meats, most especially beef. Medical experts claim that some ailments are as a result of the chemically processed feeds given to raise animals. Therefore, an alternative to meat from plants is imperative. This led to the development of a neuro-fuzzy expert system for detection of leghemoglobin in legumes. This work utilized production rule-base technique and forward-chaining mechanisms with linguistic antecedent conditions to detect the presence of leghemoglobin in plants. To further remove clumsiness and ambiguity in the identification process, metrics/weights were obtained and attached to each morphological feature. MATLAB platform was employed for the development of the system. Class and objects were used to model the information elicited. The result is a system that detects the presence of leghemoglobin in plants. Keywords: Expert system, inference system, neuro-fuzzy, dataset, leghemoglobin

WEATHER PREDICTION USING FUZZY PETRI NETS

In fields such as economy, agriculture, weather etc., forecasting plays an important role as it predicts a way to vague situations and events. Weather prediction plays a crucial role as it provides about Weather condition which is a main aspect in the field of agriculture. In this work, Fuzzy knowledge rule base technique is used to predict the objects contained in atmospheric temperature and wind speed. Fuzzy Petri nets are used for classification of data with linguistic variables.

Retrosigmoid Suprameatal Approach for Resection of Petrotentorial Cerebellopontine Angle Meningioma: Operative Video and Technical Nuances

Meningiomas are the second most common tumor to arise in the cerebellopontine angle. In this operative video atlas manuscript, the authors demonstrate a step-by-step technique for microsurgical resection of a petrotentorial meningioma in the cerebellopontine angle via a retrosigmoid suprameatal approach. Drilling of the hyperostotic suprameatal tubercle was necessary to gain access to the dural origin and anterior petrosal extent of the tumor. The nuances of microsurgical and skull base technique are illustrated including microsurgical dissection of the tumor away from the brainstem and neurovascular structures, facial nerve preservation, and fat graft-assisted Medpor Titan reconstruction to prevent cerebrospinal fluid leakage. A gross total resection was achieved, and the patient was neurologically intact. In summary, the retrosigmoid suprameatal approach is an important strategy in the armamentarium for surgical management of petrotentorial meningiomas in the cerebellopontine angle.The link to the video can be found at: https://youtu.be/kwQP6BSYK7U.

CAMPUR KODE DALAM KOMUNIKASI BAHASA ARAB SANTRI PONDOK MODERN MADINAH LAMPUNG TIMUR (KAJIAN SOSIOLINGUISTIK)

This research discusses about the phenomena of blended code in Arabic conversation of students of Madinah Modern Islamic Boarding School. This phenomena happen because a majority of students in saying Arabic are still influenced by local language and less balance in mastering two languages. So that, often happening deviation and appearing language case names mingled code. Related with the gotten blended code data, the researcher uses blended code theory filed by Muysken for analyzing the data. There are three blended cose by Muysken are insertion, alternation, and congruent lexicalization. The method which is used in this research are observation and interview method. First: observation method, this method has base technique. It is a skillful involved free observed technique note, and record. Second: interview method, at interview method applied by inducement technique, this technique is used as base technique and record technique as continuing technique. The objective of this research is to identify mingled code in Arabic conversation of students of Madinah Boarding School, local language elements in Arabic.

Comparative Linear Classification Splicing

The conventional Fisher linear classification analysis has been investigated by numerous researchers and this has led to different modification or splicing due to non- robustness when the assumptions are violated and also when the data set contains influential observations. This paper adduced a winsorized procedure to robustify the probability base classification approach. The comparative classification performance of the Fisher linear classification analysis and its spliced versions when the data set are contaminated are investigated. The simulation results revealed that the robust Fisher's approach based on the minimum covariance determinant estimates outperformed the other procedures; a good competitor to this technique is the winsorized probability base classification technique. Though, the robust Fisher's technique using the minimum covariance determinant estimates breakdown for mixture contamination. On a general note, the conventional Fisher's approach and the probability base technique performed comparable.