Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Pleurotus ostreatus SMC as soil conditioner for the growth of soybean (Glycine max)

Spent mushroom compost (SMC) of Pleurotus ostreatus (an edible fungus) was used as soil conditioner for the improvement of growth of a leguminous agricultural crop (Soya bean (Glycine max). The experiment was conducted in a screen house, located behind the Department of Botany and Microbiology, University of Ibadan. The experiment was laid out in a Complete Randomized Design and Replicated with six(6) treatments; 0%,10%,20%,30%,50% and 100% Results from this investigation shows that this dicot, soybean performed well at 10% (0.6kgSMS/6kg soil) treated level on most of its agronomic characters and yield (pod no, FW and DW) parameter. It was observed that, there were seed production on the control experiment plants, but were significantly lesser with the SMC treated seeds/plants(p≤0.05),. However the control (soil) and Ref. Control (SMS only) produced less fruit (Pod) . It was also found that the substrate pH for growing these crops at all treatment level was increased from acidity to neutrality. The results from these findings were discussed in relation to the usage of SMC as a possible organic fertilizer for the improvement of this leguminous crop. [Jonathan SG, Oyetunji OJ Olawuyi OJ and Uwukhor PO. Application of Pleurotus ostreatus SMC as soil conditioner for the growth of soybean (Glycine max). Academia Arena 2013;5(1):55-61] (ISSN 1553-992X). http://www.sciencepub. net/academia. 10
Traffic sign detection from video using image processing

Since past decades, more people in India are demanding own vehicles. Population in India increases day by day and so transportation methods. Road accidents are increased especially on highways. Many peoples get injured and lost their life because they do not see the road sign boards and also not aware of the meaning of road sign boards. Proposed automatic road sign detection system enhances intelligent transportation system by providing information about road sign to the driver and keeps drivers view on road, which will minimize accidents on the road and saves the life of people. A proposed system identifies the road sign using image processing techniques. A system collects the video of road signs with the help of a camera which is mounted on moving vehicle. Image videos are converted into frames of the image at the rate of 25frames/sec. Image pre-processing techniques such as converting the RGB image to greyscale, resizing of the image are used. Images are enhanced using median filtering technique. To extract features of image speeded-up robust features (SURF) technology is used. The standard road sign images are stored in the database and for classification of features, linear support vector machine (SVM) is used. Results are tested on 10 videos of road signs and it shows that proposed method correctly detects normal, blur and partial view of road sign videos.
Capability Optimization of refrigerant Circuitry for a Finned Tube Heat Exchanger-A Theoretical Review

Increased concerns about climate change and day by day increment in energy cost has created the importance of Refrigeration & Air Conditioning system with high COP. COP of a Vapour Compression Refrigeration system is mainly influenced by the effectiveness of the Heat Exchanger being Employed. Optimization in the design of Heat Exchanger is highly desirable to improve their effectiveness and reduce the cost of production. For Finned Tube Exchanger, one of the most important design parameter is the sequence in which tube are connected to define the path of flow of Refrigerant through the coil i.e. Circuit of flow. In this paper researcher has presented theoretical review of an evaporator and condenser design program EVAP-COND for Finned Tube Heat Exchanger. This incorporates a computational intelligence module, ISHED (Intelligent system for Heat Exchanger Design) for optimization of circuit of refrigerant.
Design and Implementation of Low Power High Speed 4x4 Multiplier

In this paper, w e pr o p ose a ne w technique f or implementing a low power high speed multiplier using full adder consisting of minimum no. of transistors (8-T). Multiplier circuits are used comprehensively in Application Specific Integrated Circuits (ASICs). Thus it is desirable to have high speed operation for the sub components. The explored method of implementation achieves a high speed low power design for the multiplier. Simulated results indicate the superior performance of the proposed technique over conventional CMOS multiplier. Detailed comparison of simulated results for the conventional and present method of implementation is presented.
Determinants of Audit Fee in Pakistan

Audit fee studies, being a tool to assist negotiation between auditors and clients are regularly undertaken all over the world and essentially stem on the factors prevalent in the specific auditing/accounting environments. Unfortunately, Pakistan has been less explored in this regard with only two studies being conducted focusing its market. Both the studies used a single year data for analyses and were conducted in a less regulated environment than presently prevalent in Pakistan. After the establishment of SECP and regulatory changes in corporate sector, no such study has been conducted in Pakistan. Using the Simunic (1980) model, this study reveals that client’s size of business, complexity of business and international recognition and affiliation of audit firms (Big four firms) are significant determinants of audit fee in Pakistan. Results in study indicate that ignorance of risk factor by the auditors may pose serious threat to fame and reputation of audit firm along with indication of feeble legal regime in Pakistan. Keywords: Audit fee, client’s size of business, audit complexity, audit risk, big firm
Minimization of Noise in Speech Signal Using Mel-Filter

: . Speech signals are usually processed in digital representation, so speech processing can be regarded as a special case of digital signal processing, applied to speech signal. The noise signal does not affect uniformly the speech signal over the whole spectrum . In order to deal with speech improvement in such situations a new spectral subtraction algorithm is proposed for reducing noise from noise corrupted speech. The spectrum is divided into frequency sub-bands based on a nonlinear multiband bark scale. Among the numerous techniques that were developed, the optimal MEL filter can be considered as one of the most fundamental noise reduction approaches, which has been delineated in different forms and adopted in various applications. It shows that in the single-channel case the a posteriori signal-to-noise ratio (SNR) defined by the MEL filter is greater than or equal to the a priori SNR defined by the Gabor filter, indicating that the MEL filter is always able to achieve noise reduction
FACS BASED AUTOMATIC HUMAN EMOTION RECOGNITION

— In the field of image processing it is very interesting to recognize the human gesture for general life applications. For example, observing the gesture of a driver when person is driving and alerting the person when in sleepy mood will be quite useful. Human gestures can be identified by observing the different movements of eyes, mouth, nose and hands. In this proposed system it is focusing on the human face for recognizing expression. Many techniques are available to recognize face. This system introduces a simple architecture for human facial expression recognition. The approach is based on a classifier for face detection and simple token finding and matching. This approach can be adapted to real time system very easily. The system briefly describes the schemes of capturing the image from web cam, detecting the face, processing the image to recognize the gestures as well as few results.
Review on V-PADA: Vehicle-Platoon-Aware Data Replication System Data Access in Vehicular Ad hoc Network VANET

— the high mobility of vehicles and the unreliable wireless communication significantly degrade the performance of data access in vehicular ad hoc networks (VANETs). To address this problem, we propose a novel vehicle-platoon-aware data access solution called V-PADA. In this we use different concept are added to this techniques using buffers to replicate data for others in the same platoon and share data with them. When a vehicle is leaves of the platoon, it prefaces interested data and transfers its buffered data to other vehicles in advance so that they can still access the data later it pass away. To attaining this desired result, V-PADA consists of two approaches: Starting we design a vehicle-platooning protocol to recognized formation in platoon and forecast splits in platoon. First using stochastic sequence series perusal to detect platoon and mobility anomalies and further introduce a two-step split prediction method to reduce the false alarm rate because of different shapes & Sizes. Then we are going to the next approaches means handling different Process on data using Data management is designed to guide platoon members to replicate and pre-fetch the most suitable data so that both high data availability and low data access overhead can be attained. Immersive simulation outcomes demonstrate that V-PADA can effectively improve the data access performance in VANETs.
A Protocol for Ensuring Data Integrity in Cloud Environment

— Cloud computing aims to enable end-users to easily create and use software without a need to worry about the technical implementations and nitty-gritty’s such as the software's physical hosting location, hardware specifications, efficiency of data processing. It moves the application software and databases to the centralized large data centres, where the management of the data and services may not be fully trustworthy. This unique paradigm brings about many new security challenges, which have not been well understood. This work studies the problem of ensuring the integrity of data storage in Cloud Computing. In particular, we consider the task of allowing a third party auditor (TPA), on behalf of the cloud client, to verify the integrity of the dynamic data stored in the cloud. The introduction of TPA eliminates the involvement of the client through the auditing of whether his data stored in the cloud is indeed intact. The support for data dynamics via the most general forms of data operation, such as block modification, insertion and deletion, is also a significant step toward practicality, since services in Cloud Computing are not limited to archive or backup data only. While prior works on ensuring remote data integrity often lacks the support of either public audit ability or dynamic data operations, this paper achieves both. In particular, to achieve efficient data dynamics, we improve the existing proof of storage models by manipulating block tag authentication. To support efficient handling of multiple auditing tasks, we further explore the technique of signature to extend our main result into a multi-user setting, where TPA can perform multiple auditing tasks simultaneously. Extensive security and performance analysis show that the proposed schemes are highly efficient and provably secure.
Determining Effective Variables in the Financial Performance Evaluation Model of Companies by Using Effective Factors in the Myopic Management

The purpose of this research is to determine the effective variables in the financial performance evaluation model of companies by using representative variables of myopic management. The statistical population of the research is the companieslisted in Tehran Stock Exchange. 132 companies (660 years-companies) were selected as the final sample by using the systematic elimination method. A comprehensive study has been conducted during the period from 2011 to 2016. The discriminate of companies in terms of increasing in economic value added using twostage clustering has been done into two groups: strong and weak, and logistic regression has been used in order to test the models and examine the research hypothesis at higher level. The results of this research showed that the effective variables in the predictive model of financial performance are equity ratio, current ratio, quick ratio, inventory turnover, total asset turnover, long-term debts to totalequityratio, operational profit to sale, profit ratio, current assets ratio and the growth in research and development expenses. In fact, the stated variables can be considered as the best predictor variables of financial performance of companies.
Similar Document Retrieval using Pattern-Based Topic Modelling for Information Filtering

: Topic modelling is widely accepted in the areas of machine learning and text mining, etc. It was proposed to generate statistical models to classify multiple topics in a collection of documents. Where each topic is represented by a distribution of words. The word-based or term-based topic representations may not be able to semantically represent documents. Patterns are always more discriminative than single terms for representing documents. In this work, we propose to combine the statistical topic modelling with pattern mining techniques to generate pattern-based topic models with the purpose of enhancing the semantic representations of the traditional word-based topic models. Utilizing the proposed pattern-based topic model, users’ interests can be modelled with multiple topics and each of which is represented with semantically rich patterns. A novel information filtering model is proposed here. In information filtering model user information needs are created in terms of multiple topics where each topic is represented by patterns.
Identification of Femoral Reference Lines and Angles in Saggital Plane

Anatomy of the femur in the sagittal plane is of great clinical importance. It affects the position of the point of introduction of the intramedullary stem, the design of the femoral components of the revision hip joint endoprostheses. It is known that the diaphysis of the femur has a physiological bend in the sagittal plane [10-12]. As a result, the anatomical axis of the femur in the sagittal plane looks like a curved line. In the works devoted to the treatment of deformities of the femur, both for planning the correction of deformities in the sagittal plane and for evaluating the anatomical results of treatment, the authors use only the distal anatomical angle of the femur [13,14]. However, the use of only anatomical articular angles in the sagittal plane allows one to evaluate the physiological flexure of the femur not throughout the entire diaphysis, but only in the proximal and distal parts of the femur. In addition, the study conducted by WM Tang [12] found that the distal third of the femur has a significantly greater curvature than the proximal and middle third of it. Thus, it can be stated that in the world literature there is no information allowing correctly to plan and control correction of deformation in the sagittal plane during the diaphyseal section of the femur. Thus, the aim of the work was to determine the reference lines and angles of the femur in the sagittal plane, describing its physiological curvature.
An Android Based Medicine Reminder System Using External Storage

— In Modern healthcare most of the errors have been identified in Out-patient medication administration. These medication errors are caused due to under or over doses and forgot to take medicines at proper time. Because of these types of errors recovery from the diseases are getting delayed and the patient is suffering for more time. In this paper we introduce an Android based application for the patients. This application will remind the user to take proper medicines in proper quantity at proper time. Because of the android application portability could result in theft, so data security requirements need to be incorporated in the design process. In ―Med Reminder" application, information on the device is encrypted and stored in the database, it is difficult to obtain illegitimately while still making confidential data easy to access. In this application, the data in databases residing on external secure digital card (SD card) of android devices are encrypted. In this paper, we discuss the technologies and methods used in android database encryption/decryption implementation and medicine in-take schedule to set reminder.
Channel Estimation in Long Term Evolution Using Multicarrier & Multipath MIMO OFDM Communication System

: Beyond third generation (3G) and fourth generation (4G) wireless communication systems are targeting far higher data rates, spectral efficiency and mobility requirements than existing 3G networks. By using multiple antennas at the transmitter and the receiver, multiple input multiple-output (MIMO) technology allows improving both the spectral efficiency (bits/s/Hz), the coverage, and link reliability of the system. Multicarrier modulation such as orthogonal frequency division multiplexing (OFDM) is a powerful technique to handle impairments specific to the wireless radio channel. The combination of multicarrier modulation together with MIMO signaling provides a feasible physical layer technology for future beyond 3G and fourth generation communication systems, high data rate, low complexity requirements of the future mobile communication systems. Channel estimation is also studied. The channel estimation techniques for pilot-based OFDM systems are investigated. The channel estimation is studied for low delay spread and high delay spread channels.
The effect of destruction in positioning of Quercus brantii in Zagros forests, Iran (case study: Ghalehgol forest, Khoramabad City)

Knowledge of the positioning trees is useful In recognition of their mechanisms; describe ecosystem sustainability, design of appropriate management plans and protective and revival measures. Due to the Quercus brantii species recognize dominant species Zagros forests. In this research start with one hundred percent inventory of the range to 32 hectares positioning Quercus brantii trees studied in Ghalegol forests Khorramabad city. Then with taking cut trees (situation before destruction) positioning Quercus brantii trees re-examined and compared with the current situation in the region. For investigate trees positioning mentioned species was used from, Uniform angle and Pair correlation functions indices. Clark & Evans average results before and after destruction calculated 0.41 and 0.76. Represents change positioning from cluster to between random and cluster pattern. Uniform angle index average before and after its destruction (the current situation) calculated 0.52 and 0.45. Indicative random positioning Quercus brantii trees in both cases. Also pair correlation function indicated pair of Quercus brantii trees with distance between trees more than 5.1 m in the current situation have a random distribution. But this function is calculated by counting the species of trees (before destruction); random pattern indicated for the pair Quercus brantii trees the distance between trees 4.5 meters. Indices used in this research have high capacity compared and investigate positioning a species various stages or different species a stage and the results can be used for sustainable forest management. *Corresponding Author: P. Farhadi  peyman_farhadi@yahoo.com Journal of Biodiversity and Environmental Sciences (JBES) ISSN: 2220-6663 (Print) 2222-3045 (Online) Vol. 3, No. 8, p. 49-57, 2013 http://www.innspub. net
Archetypes in Interpersonal Relations

Purpose: The topicality of the problem under consideration is based on the study of archetype features of male and female behavior according to Carl G. Jung on the material of the male and female samples. We analyze the concepts used in the article such as relations, anima, animus, archetype, male archetype, female archetype, initiation. The article aims at description and analysis of the author’s archetypes in interpersonal relations. The article presents the results of the empirical study of male and female samples of the archetype features of the male and female behavior according to Carl G. Jung. These archetypes are formed in families and family systems, schools and at a working place. Children see them since their childhood and consider them to be some standard in male and female growing up. In our research we used the following methods: the FPI Questionnaire, expert estimation of male and female archetypes, description, observation, interviews with men and women as respondents, mathematical statistical processing methods. Initiation or consecration, training, and education play a significant role in the transition from one level of interpersonal relationships to another one. Sometimes initiating looks like a return to the starting point, the loss of tangible and visible benefits, relationships, popularity, and material resources. The goal of initiation is to develop composure and a rational approach to life, to follow spiritual considerations and gains, to become more patient, strong, mature, and wise, to learn how to find a way out of the problem in a new social and personal status and at a higher level of maturity. Every archetype in interpersonal relations is presented either in a constructive form (ups and downs in one’s job, profession, career) or destructive form which is often spontaneous and unconscious –it destroys, dominates, subordinates, humiliates, represses, discriminates. Archetype hierarchy is not only pairwise relations. It is active in other spheres of human activity as well. Friendship, employment, parenting, interaction with the authorities, referral to support services are based on some topical archetype. The article can be used by employees of educational, medicine, and social institutions of different status, parents and all those interested in problems of relationships.
A Novel Low Current Ripple Magnetically Coupled Interleaved DC-DC Buck-Boost Converter with High Efficiency and Continuous Transfer-Function for Fuel-Cell Applications

Efficiency, steady state analysis along with dynamic operation discussion of DC-DC converters are undoubtedly important issues in proficiency of renewable energy exploitation. This paper demonstrates the feasibility of using a DC-DC magnetically coupled interleaved DC-DC buck-boost converter for fuel-cell applications. While a step-up/step-down voltage transfer ratio has been achieved, the proposed converter exhibits non-pulsating I/O currents using interleave technique making it very suitable for renewable applications. Besides thoroughly elaboration of the steady state analysis, dynamic analysis including the converter control-to-output transfer function, which is continuous between two operation modes using I/O magnetic coupling, and a small signal ac equivalent circuit model based on state space averaging (SSA) method is also presented to help the designing of closed loop controllers for this proposed converter. Furthermore the experimental results are presented to verify the theoretical expected merits of the converter including high efficiency, nonpulsating I/O currents and continuous control-to-output transfer function. These Experimental results show impressive benefits of the proposed converter.
Studies on screening of Bacillus sp. for Protease Production

Screening of bacteria and other organisms for protease production has gained momentum in recent times. Proteases are hydrolytic enzymes capable of degrading proteins into small peptides and amino acids for industrial applications. Proteases are widely used in food, pharmaceutical, leather, detergent industry and other industries. This review summarizes various aspects of proteases and their conditions of production. The enzymatic and physicochemical properties of alkaline proteases obtained from different sources under different environmental conditions are discussed.