Tripolar fuzzy sub implicative ideals of KU-Algebras

The concept Tripolar fuzzy set is a generalization of bipolar fuzzy set, intuitionistic fuzzy set and fuzzy set. In this paper, the concept Tripolar fuzzy sub implicative ideals of KU-algebras are introduced and several properties are investigated. Also, the relations between Tripolar fuzzy sub implicative ideals and Tripolar fuzzy ideals are given. The image and the preimage of Tripolar fuzzy sub implicative ideals under homomorphism of KU-algebras are defined and how the image and the preimage of Tripolar fuzzy sub implicative ideals under homomorphism of KU-algebras become Tripolar fuzzy sub implicative ideals are studied. Moreover, the Cartesian product of Tripolar fuzzy sub implicative ideals in Cartesian product KU-algebras is established

UFSD Test with Proton Beam and Signal Analysis by Using CFD Method

Detecting the charge particles at Giga hertz rate is one of the applications of UFSD (Ultra- Fast Silicon Detectors). The UFSD test in front of the proton beam to count the beam particles and use it for more precise in Dose Delivery System for treatment the cancerous tumor by charge particles can become an effective step for development of cancer treatment. After choosing the best time measurement method which was constant fraction discriminator (CFD) method, by our previous experience, we used MATLAB software to analyze the UFSD signals. The results of many different runs of programs in MATLAB for many registered signals shows: 1- These sensors are reliable to count the proton particles in giga hertz rate. 2-The CFD devices could be used to record the UFSD output signals

Speciation of Cobalt(II) complexes with succinic acid and L-glutamine in Tetra Butyl Ammonium Bromide – water mixtures

Speciation of cobalt(II) complexes with L-glutamine (Gln) and succinic acid (Suc) in varying concentrations (0.0-3.0%, w/v) of TBAB-water mixtures with pH-meter   has been made at an ionic strength of 0.16 mol dm-3 and temperature 303 K using a Control Dynamics-APX 175E/C pH meter. Various models for the species of these ligards are refined by using the computer programs SCPHD and MINIQUAD75.  The active forms of the Cobalt(II) are ML, ML2 and MLH for succinic acid and ML and ML2H for L-glutamine. The trend in the variation of protonation constants with dielectric constant is explained on the basis of electrostatic and non-electrostatic forces. The species distribution with pH at different solvent composition and the plausible equilibria for the formation of the species are also presented

Formation of Alkaline Earth and Transition Metal Complexes with Efavirenz Drug in Ethanol-Water Media

The stability constant of Efavirenz drug with alkaline earth metal ions Mg(II), Ca(II)  and transition metal ions Fe(III), Cu(II) were investigate using pH metric titration technique in 20%(v/v) ethanol-water mixture at 27 °C temperature and at an ionic strength of 0.1M NaClO4.{Metal to ligand ratio = 1:5 & 1:1}The method of Calvin and Bjerrum as adopted by Irving and Rossotti has been employed to determine proton ligand (pKa) and metal-ligand stability constants (log K) values. It is observed that alkaline earth metal & transition metal ion forms 1:1 and 1:2 complexes. The order of stability constants for these metal complexes was as:                                                        Fe3+ > Cu2+ > Mg2+ > Ca2+   

New Chromogenic Spray Reagent for TLC Detection and Identification of Organophosphrous Insecticide Monocrotophos in Biological Material.

Monocrotophos is a member of Organophosphate insecticide. It is an important insecticide and has a diversified role in agriculture in INDIA. The increasing numbers of human poisoning cases were found to be occurred by the consumption of organophosphate insecticide monocrotophos. So in this paper, we represent a novel Thin Layer Chromatographic spray reagent for the detection and identification of Monocrotophos

Multi -Layer Based Data Aggregation Algorithm for Convergence Platform of IoT and Cloud Computing

Sensor Networks (SN) are deployed in smart domain to sense the environment which is essential to provide the services according to the users need. Hundreds or sometimes thousands of sensors are involved in sensor networks for monitoring the target phenomenon. Large scale of sensory data have to be handle by the sensor network which create several problems such as waste of sensors energy, data redundancy. To overcome these deficiencies one most practice solution is data aggregation which can effectively decrease the massive amount of data generated in SNs by lessening occurrence in the sensing data. The aim of this method is to lessen the massive use of data generated by surrounding nodes, thus saving network energy and providing valuable information for the end user. The effectiveness of any data aggregation technique is largely dependent on topology of the network. Among the various network topologies clustering is preferred as it provides better controllability, scalability and network maintenance phenomenon. In this research, a data aggregation technique is proposed based on Periodic Sensor Network (PSN) which achieved aggregation of data at two layers: the sensor nodes layer and the cluster head layer. In sensor node layer set similarity function is used for checking the redundant data for each sensor node whereas Euclidean distance function is utilized in cluster head layer for discarding the redundancy of data between different sensor nodes. This aggregation technique is implemented in smart home where sensor network is deployed to capture environment related information (temperature, moisture, light, H2 level). Collected information is analyzed using ThinkSpeak cloud platform. For performance evaluation amount of aggregated data, number of pairs of redundant data, energy consumption, data latency, and data accuracy are analyzed and compared with the other state-of-art techniques. The result shows the important improvement of the performance of sensor networks

Authentic High School Research Experiences: A Meta-synthesis

Research is often associated with both positive outcomes and arduous experiences for high school learners. This meta-synthesis aimed to synthesize findings that examined the day to day interactions and practices among research-engaged high school classrooms and how high school learners engaged themselves in the writing of a research paper. The synthesis generated 6 distinct themes with opposing concepts: (1) mapping out the journey vs. navigating independently; (2) privileging product over process; (3) driving on training wheels vs. steering independently; (4) teaching the life beyond while neglecting the primary and secondary skills; (5) climbing the brick wall vs. finding the silver lining and (6) living the new prescription vs. misconstruing research digitization. The synthesis translated into two higher-order concepts: (1) disorientation on inherent challenges and non-preparation for system reworking and (2) balancing preparations and expectations. These concepts consider the experience among high school learners as a foundation for improved instructional practices among teachers and research institutions.

Norms of Self-Adjoint Two-Sided Multiplication Operators in Norm-Attainable Classes

Let B(H) be the algebra of all bounded linear operators on a complex Hilbert space H. In this note, we give characterizations when the elementary operator TA,B: B(H)→B(H) defined by TA,B(X) =AX B + BX A, ∀ X ∈ B(H) and A, B fixed in B(H) is self adjoint and implemented by norm-attainable operators. We extend our work by showing that the norm of the adjoint of TA, B is equal to the norm of TA,B when it is implemented by normal operators

A Study of Written Grammatical Errors of the Indian Subcontinent Learners: A Systematic Revie

This paper investigates A Study of Written Grammatical Errors of the Indian Subcontinent Learners in English settings from 2008 to 2018. Grammar is one of the most important subjects in English language that has been discussed among great scholars, teachers, syllabus designers in the history of English language teaching. Grammar plays vital role in increasing and decreasing the knowledge of English language learners is not only in non- English –speaking countries settings but also in English –speaking countries. Therefore, English grammar is still a big problem for English native students in their classrooms. Error analysis is used as one of the language learning strategies in which focuses on language competence of language learners in the target language. Thus, the error analysis approach was coined by Corder in 1967. In this study, researchers have tried to study the written grammatical errors committed by Indian Subcontinent students in English language from 2008 to 2018 and suggested remedial measures to improve the written grammatical errors from the research works. In addition, for various historical reasons, English has, for more than two hundred years, been growing in the Indian socio-cultural setting. We hope that this paper examines a systematic study of learners' errors in this area. Finally, the researcher of this paper examined the previous research works on grammatical errors in the English language, which were published from 2008 to 2018 in the Indian Subcontinent. In addition, of 150 research papers were examined in the paper, 36 of the research papers were relevant

Electricity Generation from A Microbial Fuel Cell Using Abattoir Waste Water

Two dual chamber microbial fuel cells (MFCs) labeled MFC-A and MFC-B were fabricated with agar-agar salt bridge as the proton exchange membrane. Each of the MFCs contained wastewater gotten from an abattoir as the catholyte. The anolyte for MFC-A was potassium ferricyanide with double copper- copper electrodes while the anolyte for MFC-B was potassium permanganate with a single copper–copper electrode. Readings of voltage and current was taken for 10 to 12 hours daily for 14 days, a total of 495 hours. Also, the MFC performance was calculated in terms of various parameters such as Biological oxygen demand (BOD), total dissolved salts (TDS), pH, conductivity and temperature. MFC-A showed a maximum voltage output of 1.812v while MFC-B showed a maximum of 1.718v. The BOD removal efficiency of MFCs A and B was calculated as 78.33% and 72.67% respectively. MFC-A showed an average value of 1.643v on the last day of observation while MFC-B showed an average value of 1.531v on the 14th day. An MFC generates electricity from wastewater. The voltage generated in an MFC is independent on the number of electrodes used, potassium ferricyanide gives a better result than potassium permanganate. BOD removal efficiency increases with the number of electrodes used