Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel Moxifloxacin Ion Selective Electrodes for Potentiometric Determination of Moxifloxacin in Pure Form and Pharmaceutical Formulations

Moxifloxacin (MFX) is a synthetic broad-spectrum bactericidal 4 generation fluoroquinolone. At this study, three PVC membrane ion selective electrodes were constructed for MFX analysis purposes. The electro-active materials are MFX-tetraphenyl borate (MFX-TPB), MFX-REINECKATE (MFX-RNK) or MFXNESSLER's (MFX-NSR). The characterization and analytical properties were determined. The casting membranes were plasticized by di-n-butyl phthalate (DBP). The constructed electrodes have inner reference Ag/AgCl electrode. In addition, the assembled sensors have outer reference Ag/AgCl electrode. The sensors were near NERNSTIAN response when the percentages ion pair at membranes were 6%, 4%, 6% for MFX-TPB, MFX-RNK, and MFX-NSR, respectively. The electrodes exhibited a fast dynamic response of 14-21 sec for a period of 10-13 days, without significant change in the electrodes parameters. The sensors worked at pH ranges 2.0-5.0, 2.0-5.5, and 2.0-6.0 for MFX-TPB, MFX-RNK, MFX-NSR sensors, respectively. The sensors have been used as indicator electrodes for direct determination of MFX in pharmaceutical preparations with mean relative standard deviation less than 2% indicating good precision, as well as in pure form solutions with average recovery of 98.58%, 99.09%, 99.27% and a mean relative standard deviation of 1.28, 1.81 and 1.91% at 0. 438μg/ml MFX•HCl for MFX-TPB, MFX-RNK, and MFX-NSR sensors respectively.
Detecting Foreign Strands From Cotton Using RGB Saliency Map And Morphological Segmentation

— This paper presents an image segmentation method aiming at detection of foreign strands from cotton. Detecting foreign strands from the background is difficult due to their various shapes, size and colors of foreign strands. In this method, saliency features are identified. Color objects are identified by their color feature while gray objects are by brightness feature. Final foreign strands is obtained by fusion of the color and gray objects. But this method does not work well when it encounters situations of uneven thickness of the layers of cotton and the different colors and shapes of foreign strands. So, to get better result, in the proposed method, morphological edge detection is performed to detect the edge of the foreign strands. Also, an iterative thresholding method is used to segment the gray gradient images. The experimental results show that the foreign strands are detected with high accuracy than the conventional image segmentation methods.
Human Activity Recognition by Smartphone using Machine Learning Algorithm for Remote Monitoring

— Human Activity Recognition has a lot of applications such as patient monitoring, rehabilitation and assisting disabled. When mobile sensors are hold to the subject’s body, they permit continuous monitoring of numerous signals patterns from the phone. This has appealing use in healthcare applications. In order to improve the state of global healthcare, numeroushealthcare devices have been introduced that allows doctors to perform remote monitoring and increase users motivationand awareness. Now a days smart phones become a part of our day to day life. The best way to implement the idea throughSmart phones. The smart phones contains various built-in sensing units like accelerometer, gyroscope, GPS, compass sensorand barometer. Using this a system is designed to capture the states of a user. Here the mobile sensor is used as an input deviceand estimate the human motion activity using data mining and machine learning techniques. Here we use the KNN classificationalgorithm in the activity recognition system which support the training and classification using accelerometer data only. We can predict the performance of these classifiers from a series of observations on human activities like walking, running, step up, and step down in an activity recognition system.
DIGITAL PAYMENTS FOR RURAL INDIA - CHALLENGES AND OPPORTUNITIES

- Rural India has significant impact on the economic progress of the country, and with the emerging changes of ICT penetration, and the impact of demonetisation, alongside the digital initiatives carried out for rural segments, the need for improving the trends of digital payments model in rural India is very important. Considering the benefits like transparency in transactions, scope for curtailing parallel economy and improving the ease of business, it is very essential that the transformation towards digital payments, even in the rural economy is empowered. Some of the revolutionary developments in the recent past like launch of many digital wallets like – Paytm, Mobiwik, Free Charge etc. and government launching many UPI (united payment interface) solutions and BHIM app for smooth transition to digital payments, there are significant developments taking place. Stats from the market research also depict considerable rise in digital transactions post de-monetisation period. In terms of challenges, certain key factors like limited options for digital transactions based on feature phones, issues of awareness towards digital transactions, constraints of PoS transactions etc are some of the intrinsic issues that impact the digital transactions. Despite the fact that the social trends are being very positive in rural segments for embracing the digital payments, still there are considerable challenges too in succeeding the paradigm shift. The futuristic steps like enabling digital payment transactions based on Aadhar numbers could be a game changers if handled effectively. In this manuscript, the factors that impact and support towards digital transactions in rural economy is reviewed taking stock of current trends, market analysis, readiness of the infrastructure and the stakeholder accountabilities, to gain insights to the critical success factors to be addressed. It is imperative from the review of research reports, statistics over the digital payment trends, that if some of the key macro challenges, business limitations and consumer related issues are addressed, there could be potential developments envisaged in the process.
PHYTOCHEMICAL CHARACTERIZATION, IN-VITRO ANTIOXIDANT AND ANTIMICROBIAL EFFICACY OF PICEA SMITHIANA (HIMALAYAN SPRUCE) NEEDLES FROM KUMAUN HIMALAYA

The use of pharmacologically active substances found in medicinal plants in preventing diseases caused by microbial attack and oxidative stress, have received a great deal of attention. The present study aimed to evaluate the biochemical properties of Himalayan spruce Picea smithiana needles using four different extracts (hexane and aqueous) by qualitative and quantitative phytochemical methods along with their antibacterial activity against some gram-positive and gram-negative bacteria responsible for many diseases including human. From the observed results it is clear that ethanol extract was found more suitable to extract out the primary as well as secondary metabolites and also showed good amount of total phenolic and total flavonoid content ranged from 25443 μg/ gm dry extract weight of the plant with low IC50 value for free radical scavenging activity. In antimicrobial screening the ethanol extracts was found effective against all tested bacteria except Pseudomonas aeruginosa with zone of inhibition (ZOI) upto 11.5 mm at 1000 μg/ml concentration and MIC 31.25 μg/ml. These results reveal that the extracts of P. smithiana are possible good source of phenolic and flavonoid content as well as good free radical scavenger along with having good antimicrobial potential and new antibiotics.
Modeling Composition of UML Profiles with Alloy

Global software development teams can collaboratively create Unified Modeling Language (UML) profiles, the primary mechanism for defining domain-specific variants on top of the UML. Usually, parts of UML profiles are separately elaborated to speed up the UML tailoring process, but at sometimes the parts built in parallel need to be brought together to construct a full UML profile. Although many model composition techniques have been proposed in the last decades, no one deals with issues required to combine UML profiles, e.g., matching and integration of UML stereotypes. Consequently, little is known about how to support the composition of UML profiles. Even worse, academia and industry have overlooked the elaboration of composition methods to support the integration of UML profiles, as well as the formal representation of such methods. This study, therefore, presents a composition mechanism, as well as introduces a lightweight UML extension to support the specification of composition relationships between UML profiles. The semantics of the extension and mechanism proposed was carefully represented in Alloy, a formal modeling language based on first-order logic. Then, we used the Alloy Analyzer to check the specification generated in Alloy for some specific algebraic properties, including idempotency, uniqueness, commutativity, and associativity.
In Vitro Gas Production Assessment of Ensiled Brachiaria Decumbens with Different Additives as Animal Feed During the Dry Season

Scarcity of forages during the dry season in Nigeria has lingered. This study therefore assessed the nutritive quality of Brachiaria decumbens with additives prepared as silage using in-vitro gas production technique. Brachiaria decumbens was ensiled with four different additives. T1: 90% Brachiaria decumbens+ 10 %Yellow corn residue; T2: 90% Brachiaria decumbens+ 10% White maize residue; T3: 90% Brachiaria decumbens + 10% Guinea corn residue; T4: 90% Brachiaria decumbens + 10% Soy bean residue; T5: 100% Brachiaria decumbens and were incubated for in vitro gas production for 24 hours. Cumulative gas production was recorded at 3, 6,9,12, 15, 18, 21and 24 hr of incubation periods and the organic matter digestibility (OMD), short chain fatty acid (SCFA) and metabolisable energy (ME) were estimated. Results showed that the dry matter content of the silages ranged from 26.35 to 37.57%, the crude protein ranged from 7.30 to 10.00%, the ether extract ranged from 3.60 to 4.27%, The NDF, ADF and ADL were significantly (p<0.05) different among the different silages. The cumulative gas produced ranged between 13.00 and 18.67 ml/200mg DM. There were no significant difference in ME, OMD and SCFA of the silages. The estimated ME (MJ/Kg DM) for the silages ranged from 4.33 MJ/Kg DM to 5.19 MJ/Kg DM. The highest OMD (45.27%) was observed in T2 (Brachiaria decumbens ensiled with white maize residue) and the lowest (41.45%) value in T4 (Brachiaria decumbens ensiled with soy bean residue). The SCFA estimated from gas production were 0.35, 0.50,, 0.37, 0.33 and 0.45 ? Mol.
Efficient Power Management In Home Using Wireless Sensor Networks

—Design and development of smart monitoring and controlling system for household electrical appliances in real time is proposed. Increasing power consumption is becoming a huge problem. In this sytem, we propose an intelligent energy distribution system with a fixed power use of every home set from Electricity Board(EB) office. Power distribution from EB is the major issue because of shortage in power generation from renewable and non-renewable resources. We design this, in order to reduce the frequent power cut off. Moreover monitoring and controlling of home appliances is developed either manually, remotely and with the help of internet automatically. The main aim is to provide low cost and flexible operation. The goal is to develop a newly equipped well designed prototype for consumers in home to limit the usage of power. This helps users and power distribution centre to manage the power in an efficient manner. Practically applied in home and in EB unit with the help of microcontrollers and zigbee transceivers. Internet provides the data effectively, in order to manage the power by controlling the home appliances.
Power Optimization In Digital Circuits Using Modified Ultra Low Power NAND Gates

— The design of CMOS VLSI circuits is becoming more complex as the leakage power consumption is posing a serious issue nowadays. Technological modification, reduction of threshold voltage and device geometry contributes to leakage power. The demand for electronic devices that are battery powered are increasing day by day. So the portable devices like notebooks, hearing aids ,personal communication devices need to be realized with low power consumption. In the proposed approach three digital circuits have been designed. A JK Master-Slave Flip-flop,4*1 MUX and a comparator is designed using 2 Input NAND Gate combining sleepy stack and sleepy keeper with RBB and Dual Threshold CMOS(DTCMOS)and static power consumption has been measured by switching off the sleep switches. The sleepy keeper approach has a combination of PMOS and NMOS transistor connected in parallel and will be inserted between pull up network and Vdd and pull down and GND. The sleepy keeper approach when combined with sleepy stack approach solves the area penalty with the stack approach. The keeper approach is the most efficient method for leakage reduction and maintains the logic of the circuit with lesser area. The digital circuits using the proposed NAND Gate achieves high leakage power reduction, lesser area and lesser delay when compared with the existing design.
Synthesis of Cellular Automata Cryptography using AES Algorithm

Secure system is most important part in the data communication. A digital media can be transmitted easily in real time anywhere at any time due to the multimedia technology and internet, but to maintaining a security of information is a biggest problem now a days. Cryptography playing a major role to provide security. This paper presents an efficient reconfigurable implementation of Advance Encryption Standard (AES) algorithm on Field Programmable Gate Array (FPGA); using High Level Language (HLL) approach with lesser hardware resources. The mode of data transmission in the modified AES is 128-bit plaintext and keys which converted into four 32bit blocks and exclusion of shift row. Using this feature, not only area is optimized but also higher throughput is achieved. The proposed architecture can deliver higher throughput at both encryption and decryption operations. Design has been done using Verilog and Xilinx 14.5
Congestion Control in Multi-Flow Environment Using Multipath Routing Base in MANET

: The multipath route establishment uses the method that discovers multiple multi hops communication between source and destination. Multi-path routing can balance the load better than the single path routing in ad hoc networks, thereby reducing the congestion by dividing the traffic in several paths. This research presents a new approach of Multipath Load Balancing with AOMDV routing protocol and Dynamic Queue based congestion control mechanism for avoiding congestion in network communication flows. In this scheme the store and forwarding capability of nodes are enhanced by varying the queue length according to incoming data. The AOMDV protocol performance is also enhanced to increment the link expiration time after failure the current connection establishment in network. The new connection is established according to the new link expiration time value, by that the possibility of link failure in AOMDV is also minimizes. It means the multipath routing performance in this technique has increases the link expiration time with vibrant queue length method. The multipath routing has no doubt better than the unipath routing and balance the load by proving the alternative path if the already established path are congested. But the performance of AOMDV is improves after adding the proposed scheme. The performance of normal AOMDV is measured on the basis of load handling capability of nodes in network and through performance matrices. The simulation of both the routing techniques is done in ns-2 simulator.
Performance Evaluation of VGG models in Detection of Wheat Rust

The agricultural sector is the backbone of Indian economy and social development but due to lack of awareness towards crop management, a large number of crops get wasted each year. Automated Systems are required for this purpose. This paper tries to highlight the efficiency of two existing models of deep learning, VGG16 and VGG19 for proper detection of wheat rust disease in the infected wheat crop. These two models use convolutional neural networks for image classification and which can be used to design an intelligent system which can easily detect wheat rust in crop images. This paper basically presents the comparative analysis of the accuracy and efficiency along with usability to select the best model for systems that can be used for crop safety.
A COMPACT TRI-BAND MONOPOLE ANTENNA FOR HANDHELD DEVICES

This paper depicts a work on the tri-band monopole antenna with parasitic elements suggested for LTE, Wi-Max and WLAN applications. The Proposed antenna is used for small handheld gadgets, such as, cell phone, tablet, portable PCs and so on. The L shaped slots are used in antenna design having different widths. The proposed monopole patch antenna resonates at frequencies LTE 2.5GHz, Wi-Max 3.2GHz and WLAN 5GHz.The monopole antenna has many points of interest, for example, small size, good radiation pattern, better antenna efficiency, less input impedance etc. Monopole antenna is used in countries where coverage is limited. The overall size of proposed antenna is 23*20 mm² which makes this antenna suitable to embed in mobile phones. The antenna is simulated on IE3D software for gain, bandwidth, efficiency, VSWR, directivity etc. parameters. The proposed antenna is tested on vector network analyzer.
Neuromarketing: Applications, Challenges and Promises

Neuromarketing is a field of marketing research that studies consumers’ sensorimotor, cognitive, and affective response to marketing stimuli. Consultative selling suggests that a customer’s shopping experience is managed by the salesperson’s behaviour and in-store marketing assets, and that the customer gets engaged step by step. The field of neuromarketing provides excellent avenues for reading the consumers mind, interest, preferences and thereby enable the marketers to perform effective targeted marketing. The technology offers a direct peak into the decision-making centres of the brain thereby can positively impact upon the decision-making process towards buying a product. Neuromarketing employs several techniques and tools for analysis of inside\outside reflexes of the consumer’s brain and it avails the latest cognitive scanning techniques for analysis. Some of the technology infused neuromarketing inside reflex techniques used includes EEG, MEG, fMRI, PET, Galvanic skin response, TMS, electromyography and cardiovascular parameters. Besides there are also several time-tested conventional techniques of outside reflex detection techniques such as body language, emphatic design, facial coding, eye tracking is also employed in neuromarketing. The concept of neuromarketing is bound to make a deep impact in the emerging economies like India with their rapidly increasing consumer population and consumer buying potential. Biomedical Journal of Scientific & Technical Research Cite this article: Pravin Raj Solomon. Neuromarketing: Applications, Challenges and Promises. Biomed J Sci & Tech Res 12(2)-2018. BJSTR. MS.ID. 002230. DOI: 10.26717/ BJSTR.2018. 12.002230. Volume 12Issue 2: 2018 9137 can tweak the next generation of smart customers and highly competitive consumer market. Neuromarketing technique is the latest and advanced tool used by marketing researchers to study and understand the consumer behaviour patterns [3]. Neuromarketing uses cutting edge techniques in brain scanning to understand the nuances behind the psychological decision-making process of the customer [4]. Measurement of the brainwaves may ideally reveal consumers’ subconscious responses to marketing stimuli [5-9]. By Neuromarketing one can positively single out the element of an advertisement that creates a feel-good effect in the minds and memories of the customer [10-12]. This can help with the selection and timing of visual and audio features for an effective advertisement [11]. This will affirmatively help in the creation of brands, brand research and its effect on decision-making process of the customer [13]. Neuromarketing opens avenues to study and identify the causes of compulsive purchasing disorders and offers its potential use in effective marketing [10,11,14,15]. Neuromarketing is a unique technique than can procure information above and beyond the level of human cognition and perception because purchasing is largely a subconscious process [8,11,13,16-18].
A Study on Products Price , Shape Perception in Marketing Research

Pricing a product is one of the most important decisions an organization can make. Marketing research has developed several different approaches to price optimization. They include product shape, its completeness, size perception, and consumption and price models. They have been especially fruitful in illuminating consumers’ decision processes across multiple marketing-related domains, particularly those underlying valuation and choice. It represents an advance in testing previously unaddressable research questions notably, whether researchers can predict consumers’ thought processes on the basis of some spatially distributed pattern. This work describes and compares several of these approaches related products.
Effect of Solution Molarity on the Structural, Morphological and Optical Properties of Nanostructured Zinc Oxide Thin Films

April June 2017 867 JCPS Volume 10 Issue 2 Effect of Solution Molarity on the Structural, Morphological and Optical Properties of Nanostructured Zinc Oxide Thin Films A. Sales Amalraj*, G. Senguttuvan Department of Physics, PSNA College of Engineering & Technology, Dindigul624 622, India Department of Physics, Anna University, BIT Campus, Tiruchirappalli620 024, India *Corresponding author: E-Mail: salesamalraj@gmail.com, Phone: 9976115563 ABSTRACT Zinc oxide (ZnO) nanorods have been deposited onto glass substrates by integrating inexpensive successive ionic layer adsorption and reaction (SILAR) at room temperature. The concentration of precursor solution was varied in order to study its effect on structural, morphological and optical properties. The Xray diffraction (XRD) patterns showed that the films deposited are polycrystalline with preferential orientation along (101) plane. Scanning electron microscopy (SEM) images show the formation of vertical ZnO nanorods with diameter and length of ~120 nm and ~400 nm respectively. The optical study showed that films are highly transparent in the visible region with an average transmission of about ~85%. The optical band gap degreased from 3.30 eV to 3.075 eV on increase in molar concentration.
A SURVEY ON RESOURCE ALLOCATION MECHANISM IN CLOUD ENVIRONMENT

-Cloud computing are distributed and parallel computing system, which facilitate virtualization of resources based on demand. It is new computing paradigm that goal, to provide reliable, customized and quality of services guaranteed computing environment for cloud user. Cloud environment is composed of a set of resource providers and consumer. Cloud offers two ways of resources provision to the consumers. Firstly resource on-demand and secondly resource on-reservation. Various case studies have proven that resource on-demand has increased cost than resource on-reservation. This paper explores a detail survey on various existing resource allocation mechanisms in state in favor to the consumer and the producer.