Deep Neural Networks Techniques using for Learning Automata Based Incremental Learning Method

Surprisingly comprehensive learning methods are implemented in many large learning machine data, such as visual recognition and visual language processing. Much of the success of advanced training in recent years is due to leadership training, which requires a set of information for specific tasks, before such training. However, in reality, selected tasks related to personal study are gradually accumulated over time as it is difficult to collect and submit training data manually. It provides a way to continue learning some information columns and examples of steps that are specific to the new class and called additional learning. In this post, we recommend the best machine training method for further training for deep neural networks. The basic idea is to learn a deep system with strong connections that can be "activated" or "turned off" at different stages. The approach you suggest allows you to reduce the distribution of old services as you learn new for example new training, which increases the effectiveness of training in the additional training phase. Experiments with MNIST and CIFAR-100 show that our approach can be implemented in other long-term phases in deep neuron models and achieve better results from zero-base training

Novel Clustering Techniques in Wireless Sensor Networks – A Survey

A study of Wireless Sensor Networks has been growing tremendously these days. Wireless Sensor Networks play a major role in various fields ranging from smart homes to health care. WSN’s operate independently in remote places. Because of tiny size of the nodes in such type of networks, they have a limited number of resources in terms of energy and power. Basically, sensor networks can be classified into flat and cluster based Wireless Sensor Networks. But, Clustering based Sensor Networks play a major role in reducing the energy consumption in Wireless Sensor Networks. Clustering also focuses on solving the No.s that arise during transmission of data. Clustering will group nodes into clusters and elects Cluster Heads for all clusters in the network. Then the nodes sense data and send that data to cluster head where the aggregation of data will take place. This paper focuses on various novel clustering techniques that improve the network’s lifetime

Ameliorative Effect of Grape Seed Oil on Aluminium Chloride Induced Neurotoxicity in Rats

• Aluminium chloride causes a class of neurodegenerative disorder. The incidence of neurodegenerative disorder increases with age. Damage of short-term memory is the characteristic feature. When the condition proceeds, extra cognitive capabilities are impaired, like ability to calculate, and use objects and equipment. Acetylcholine esterase inhibitors are the best marketers authorized by means of the Food and Drug Administration (FDA) for the treatment of AD. All different retailers prescribed for the remedy of AD are used on an off- label foundation. • As per preceding studies grape seed oil has superb antioxidant belongings, consequently it's far believed to have actions on CNS problems and neurodegeneration illnesses. • The current study has revealed the ameliorative effect of grape seed oil on Aluminium chloride induced neurotoxicity in rats. Aluminium chloride induced impairment of reminiscence became assessed by using the behavioral parameters like Passive avoidance task, open field test and locomotor activity using actophotometer, rota rod. It became discovered that remedy with grape seed oil shields cognitive deficits in Aluminium chloride induced neurotoxicity. • Spatial studying inside the open area habituation was used to access mastering and memory. The decline in response to regular surroundings after repeated exposures to the acquainted surroundings is cited to spatial learning. Recurrent publicity produces a lower in the exploratory tasks, that's implicative of memory referring to a selected feature of that surroundings. Exploratory activities may be reduced on subsequent touch with open subject. In the end of the study the animals which are treated with grape seed oil indicated elevated spatial routine and sleep deprivation decreased spatial routine learning. • Passive avoidance behavior is based on poor reinforcement became used to observe the level of memory. An electro-shock is given during training period for about 15 sec inside the Step- Down Latency (SDL) which is then recorded. SDL was determined by the time taken via the rat to step down from the wooden platform to grid ground with its whole paw on the grid floor. SDL is enhanced as an indication of long-term memory in which Aluminium chloride treated animals showed reduced SDL. Treatment with grape seed oil showed development in long time reminiscence as index of elevation in SDL. • Muscular and locomotion activities using Actophotometer, and Rota rod were found to be significantly decreased after Al treatment. Therefore, high levels of Al not only interfere with the memory but also affect the motor functions and leads to decreased motor activities and grip strength. On treatment with grape seed oil, animals enhanced the locomotor activity. • Antioxidants SOD, CAT, GRD and neurotransmitter AChE activity was evaluated where there is a significant decrease in antioxidant level and increased AChE after Al treatment. On treatment with Grape seed oil, there was increase in antioxidant level and decrease in AChE activity. • The histopathology studies of the brain shows that on treatment with Grape seed oil, there is a significant increase in the density of neuronal cells and hippocampal regions of brain while compared with neuronal loss in Aluminium chloride treated group. CONCLUSION: • The Grape seed oil possessed significant recovery in memory and locomotor activity processes but higher dose 4ml showed better activity than lower dose 2ml. • The current study reveals the ameliorative effect of Grape seed oil on Aluminium chloride induced neurotoxicity in rat. From the effects it can be concluded that Grape seed oil has extraordinary impact in behavioural & locomotor activity enhancement and oxidative stress. Further studies are required for the identification of molecular level activity and individual phytochemical constituent which could be responsible for neuroprotective action

Using Clicker Technology with Rural, Low-Income Mothers: Collecting Sensitive Data Anonymously

As part of a multi-state study on health message development, a group of family researchers, Extension faculty, and a learning technologist used audience-response systems, or clickers, to display and record focus group participants\u27 responses to questions. This article describes how the authors used clicker technology in focus group settings, clicker training for facilitators, and lessons learned. The clicker technique is useful to collect local and personal data anonymously in group settings for program evaluation purposes. Implications for future research and Extension education are discussed

Breakthrough Studies of Methyl Salicylate and DMMP Mixed in Methyl Salicylate with Pressure Swing Adsorption Composed of 13X Molecular Sieves

A test procedure for pressure swing adsorption (PSA) was established and elucidated for the air purification using methyl salicylate (MeS) and 5% (v/v) dimethyl methyl phosphonate (DMMP) in MeS containing air stream as feed. The effect of feed flow rate was studied by varying the flow from 5 lpm to 20 lpm, for both the molecules at 25 oC and 4 kg/cm2. The results revealed that the flow rate had a significant influence on the breakthrough time. A method was developed for the determination of feed, purge, and dry air composition, by the solvent extraction method using the XAD-2 and the average concentrations reported. The 13X molecular sieves were characterised for its structural and textural properties such as BET- SA, XRD, and FT-IR. The temperature programmed desorption of DMMP and MeS on 13X clearly demonstrated that it was easily regenerated at ~320 °C after prolonged field operation of PSA. The PSA results obtained with PSA composed molecular sieves appeared to give promising technology for air purification and specifically to the chemical warfare agents simulants

MORAXELLA OSLOENSIS MEDIATED SYNTHESIS OF TIO2 NANOPARTICLES

Objective: The main idea behind the present investigation is to explore the ability of Moraxella osloensis to reduce Titanium dioxide to nanosizes in a facile manner.Methods: The bacterium was grown in nutrient broth for 24 hr. The culture supernant was used for the bioreduction process. The synthesized nanoparticles were characterised by instrumental analyses namely FTIR, SEM and XRD. Toxicity of the nanoparticles was tested against HaCaT and Hep2 cell lines.Results: Moraxella osloensis with the dye degrading ability was found to be capable of reducing bulk Titanium dioxide to nanostructure. These biogenic TiO2 nanoparticles (TiO2 NPs) were in the size range of 60–150 nm with the average size of 72 nm. The particles were found to irregularly shaped and uniformly dispersed with less aggregation. In addition, XRD analysis indicated the presence of titanium beta. FTIR confirmed the involvement of proteins in the bioreduction and stabilization. Nano TiO2 was found to be more toxic against HaCaT and Hep2 cell lines than its bulk counterpart.Conclusion: Moraxella osloensis successfully synthesised TiO2 NPs in environmentally safe and cost effective method in an extracellular fashion.Keywords: Moraxella osloensis, Biogenesis, TiO2 NP, Characterization, Cytotoxicit

A Location Based Value Prediction for Quality of Web Service

The number of web services with functionality increases, the service users usually depends on web recommendation systems. Now a days the service users pay more importance on non functional properties which are also known as Quality of Service (QoS) while finding and selecting appropriate web services. Collaborative filtering approach predicts the QoS values of the web services effectively. Existing recommendation systems rarely consider the personalized influence of the users and services in determining the similarity between users and services. The proposed system is a ranking oriented hybrid approach which integrates user-based and item-based QoS predictions. Many of the non-functional properties depends on the user and the service location. The system thus employs the location information of users and services in selecting similar neighbors for the target user and service and thereby making personalized service recommendation for service users

Novel method to manage weeds in the rainfed groundnut (var. VRI 8 and TMV 14) using nano encapsulated herbicide formulations

The groundnut crop harbours heavy weed infestation due to its small stature and slow growing nature. The current weed management practices of hand weeding and use of commercial herbicides are unsuitable because of high labour cost and inadequate moisture availability to activate herbicides.  In order to release the herbicide in a smart way, this experiment aimed to study the efficacy of encapsulated herbicides . Field experiments were conducted during Kharif 2021 and late Rabi 2022 under rainfed conditions in randomised block design with three replications. The treatments consisted of sulfentrazone, oxyfluorfen, diclosulam and metolachlor in both commercial and encapsulated form using two doses, hand weeding at 20 and 40 DAS, weed free plot and weedy check. Minimum weed density (28.33 and 17.30 No./m2 at 90 DAS during Kharif and late Rabi respectively) and weed dry weight (65.33 and 61.25 g/m2 at 90 DAS during Kharif and late Rabi respectively) were observed in hand weeding at 20 and 40 DAS (T19) followed by diclosulam @ 25 g ha-1 with encapsulation (T7). Maximum weed density and weed dry weight was observed in metolachlor @ 1 kg/ha with encapsulation (T8). Higher productivity was observed in hand weeding at 20 and 40 DAS (T19) (1802 kg ha-1  and 1753 kg ha-1  pod yield during Kharif and late Rabi respectively) and higher profitability was obtained in diclosulam @ 25 g ha-1 with encapsulation (T7) (1.80 and 2.01 B:C ratio during (Kharif and late Rabi respectively). Nano-encapsulated herbicides can thus significantly improve weed control in rainfed groundnut