Effect of Flyash and Waste Rubber on Properties of Concrete composite

Increasing use of waste materials like flyash, scrap tyre rubber etc, in construction industry has reduced the handling and disposal problems of these wastes. Flyash and scrap tyre rubbers are generally, employed to develop light weight and low strength concrete composites. The present work discusses the influence of flyash and waste tyre rubber particles on the behaviour of concrete composite. The rubber content has been taken in the range of 0 to 40% as replacement of fine and coarse aggregates while the flyash has been varied from 0 to 30% for cement. Testing of the concrete specimen prepared under different percentage of flyash and rubber waste was performed at 28 days of age for workability, density, compressive and bond strength. Experimental results show that the density, compressive strength and bond strength decreases while workability increases with increasing rubber content. Addition of flyash also decreases the density and compressive strength

Spontaneous heterotopic pregnancy: a case report

Heterotopic pregnancy is defined as multiple gestation in which intrauterine and extrauterine gestational sacs co-exist. The extra uterine gestational sac is most commonly tubal ectopic pregnancy. We presented case of a 26 years old multigravida who presented to emergency with complaints of pain abdomen and giddiness for 2-3 days. She was at period of gestation (POG) 7 weeks and on clinical examination patient was anxious with mild pallor, mildly tachycardiac and blood pressure (BP) was 90/60 mm of Hg. After thorough clinical examination and sonography diagnosis of heterotopic pregnancy with ruptured tubal ectopic was made. She was taken up for Emergency laparotomy after investigations and consent. Left salpingectomy was done and she was discharged with a single intrauterine live pregnancy on 6th post op day. For early detection of cases of heterotopic pregnancy careful evaluation of adnexa is mandatory in early gestation scan

Prevalence of vitamin D deficiency in antenatal women

Background: Vitamin D has an increasingly recognised repertoire of non-classical actions, such as promoting insulin action and secretion, immune modulation and lung development. It therefore has the potential to influence many factors in the developing fetus. Several studies reported the relationship between maternal vitamin D deficiency and adverse maternal and fetal outcomes including gestational diabetes, preeclampsia, preterm labour, low birth weight and increased rate of caesarean section. The present study was undertaken to study the prevalence of vitamin D deficiency in antenatal women of Shimla, India.Methods: The study was conducted in the department of Obstetrics and Gynaecology, Kamla Nehru Hospital, Shimla, India over a period of 12 months. Six hundred women were included in the study.Results: Out of 600 subjects, 568 (94.67%) subjects had vitamin D deficiency and only 32 (5.33%) subjects had sufficient vitamin D levels. Vitamin D deficiency was more common in the vegetarians, dark skinned subjects and in those who were taking vitamin D supplements.Conclusions: It is concluded from this study that there is high prevalence of vitamin D deficiency in antenatal women of Shimla, India

Efficient and low overhead memristive activation circuit for deep learning neural networks

An efficient memristor MIN function based activation circuit is presented for memristive neuromorphic systems, using only two memristors and a comparator. The ReLU activation function is approximated using this circuit. The ReLU activation function helps to significantly reduce the time and computational cost of training in neuromorphic systems due to its simplicity and effectiveness in deep neural networks. A multilayer neural network is simulated using this activation circuit in addition to traditional memristor crossbar arrays. The results illustrate that the proposed circuit is able to perform training effectively with significant savings in time and area in memristor crossbar based neural networks

Novel techniques for memristive multifunction logic design

We present novel techniques for realising reliable low overhead logic functions and more complex systems based on the switching characteristics of memristors. Firstly, we show that memristive circuits have inherent properties for realising multiple valued MIN-MAX operations over the post algebra. We then present an efficient hybrid 1T-4M logic architecture for dual XOR/AND and XNOR/OR functionality, which can be seamlessly integrated with the existing CMOS technology. Although memristors are usually considered to operate at lower frequencies, however, recent advances in technology show their potentiality at high frequencies. To this end, we also explore the effects of high frequencies on their performance and thereby propose reliable high frequencydesign techniques based on our 1T-4M architectures. Experimental results, based on the design of full adders and multipliers over GF, show that the proposed designs require significantly lower power and overhead while maintaining reliable performance at low as well as at high frequencies compared to the existing techniques

Design, Synthesis, Characterization, and Computational Studies on Benzamide Substituted Mannich Bases as Novel, Potential Antibacterial Agents

A series of benzamide substituted Mannich bases (1–7) were synthesized. The synthesized derivatives were authenticated by TLC, UV-Visible, FTIR, NMR, and mass spectroscopic techniques and further screened for in vitro antibacterial activity by test tube dilution method using amoxicillin and cefixime as standard drugs. The compounds 5, 6, and 7 were found to be the most active antibacterial agents among all the synthesized compounds. The physicochemical similarity of the compounds with standard drugs was assessed by calculating various physicochemical properties using software programs. The percent similarity of synthesized compounds was found to be good and compound 1 was found to have higher percentage of similarity. The compounds were subjected to QSAR by multilinear regression using Analyze it version 3.0 software, and four statistically sound models were developed with R2 (0.963–0.997), Radj2 (0.529–0.982), and Q2 (0.998–0.999) with good F (2.35–65.56) values

Parasitic effects on memristive logic architecture

The most of the memristor based applications which have been proposed so far have not considered the parasitic components. In this paper, we apply a generic memristor model which includes the parasitic effects to our proposed memristive logic architectures. First, we show that the current response of the memristor has the decaying oscillation when the unit step function is applied. Then we demonstrated that our specific memristive logic structure can almost eliminate those effects which are generated by the parasitic components of the memristor. In addition, the propagation delay and the variation of the memristive XOR gate are increased because of the parasitic components. With the delay analysis on cascaded memristive logic design, the experimental results show that our 3T-4M memristive XOR architecture can build the more robust delay based memristive physical unclonable function (PUF) comparing to the existing memristive PUF

Learning method for ex-situ training of memristor crossbar based multi-layer neural network

Memristor is being considered as a game changer for the realization of neuromorphic hardware systems due to its similarity with biological synapse. Recent studies show that memristor crossbar can provide high density and high performance neural network hardware implementation at low power due to its physical layout, nano scale size and low power consumption feature. This paper describes the training method that can be used for the implementation of memristive multi-layer neural network with ex-situ method. We mimic the behavior of memristor crossbar in software training process to achieve more accurate and close computations to hardware. Voltage divider has been used to calculate the dot product in this method. To demonstrate the accuracy and effectiveness of this method, different patterns and non-separable functions using memristor crossbar structures are simulated. The results demonstrate that more accurate computations can be produced using this learning method for ex-situ. It also reduces the learning time of functions

Mannich Bases: An Important Pharmacophore in Present Scenario

Mannich bases are the end products of Mannich reaction and are known as beta-amino ketone carrying compounds. Mannich reaction is a carbon-carbon bond forming nucleophilic addition reaction and is a key step in synthesis of a wide variety of natural products, pharmaceuticals, and so forth. Mannich reaction is important for the construction of nitrogen containing compounds. There is a number of aminoalkyl chain bearing Mannich bases like fluoxetine, atropine, ethacrynic acid, trihexyphenidyl, and so forth with high curative value. The literature studies enlighten the fact that Mannich bases are very reactive and recognized to possess potent diverse activities like anti-inflammatory, anticancer, antifilarial, antibacterial, antifungal, anticonvulsant, anthelmintic, antitubercular, analgesic, anti-HIV, antimalarial, antipsychotic, antiviral activities and so forth. The biological activity of Mannich bases is mainly attributed to , -unsaturated ketone which can be generated by deamination of hydrogen atom of the amine group