Miracle-dz/UniFAR-FTUs huggingface dataset:
ISSN 2348 – 0319 International Journal of Innovative and Applied Research (2014), Volume 2, Issue (8): 72- 81

This research is a semi empirical research (pretest posttest design with a control group) which was conducted with aim to survey on efficiency of instructing the decision-making and self-esteem skills on career Self-Efficacy, career indecision and self-esteem of students in Azad University of Neyshabur in the academic year 89-90. In this study, first we developed educational packages and then the students of the humanity department (accounting, industrial and commercial management, tourism management, insurance management) 100 person were randomly selected. Then, randomly assigned to experimental and control groups. At this stage the desired tests (Taylor and Betz selfefficacy, Osiepour et al. career indecision and Rosenberg self-esteem) has conducted for both groups. After the pretest, instructing sessions of career decision-making and self-esteem skills (15 sessions of 2 hours and one session in a week) was held for the experimental group, but control group received only classroom teaching. At the end of the training period, both groups reassessed (post-test). For data analysis, inferential statistics (Ttest for independent groups, Levine equality of variance test) was used. These analyzes were performed using SPSS software. Results indicate a significant effect of instructing the decision-making and self-esteem skills on increasing the level of career decision-making self-efficacy and decreasing indecision career of students (P>0/05) respectively.
TRUST MANAGEMENT IN P2P SYSTEMS USING SORT MODEL

: This paper is use to solve the problem of the open nature of Peer to Peer system in a Network. The Main problem in P2P system is that every system is treated equally and possess equal rights to every resource in Network. Here the Security of Data or resources is not stated. Hence the trust problem arises in the Network. This Paper presents the solution to the Problem mentioned above by creating a Trusted Environment among the Peer, present in the Network. The trusted environment is created with the use of Distributed Algorithm which satisfies the trustworthiness of other peer to the peer on which it is calculated on the information available to the current peer, this calculation requires two parameters known as Past Interaction and Recommendations received from others. After applying the SORT the proposed system is able to prevent attacks from different malicious behavior model. In SORT, Every peers calculate its own set of parameters based on trustworthiness in relation of other peers in the Network. The Trust environment is required for the purposes like Communication, File Sharing or Resource Sharing. In this system the Algorithm will separate the trusted peers and the malicious peer from one another and will create a secure Environment.
Pharmaceutical Care Activities in Nigeria from 1970 to 2018 : A Narrative Review

Ogbonna Brian O1*, Oparah AC2 and Odili VU2 1Department of Clinical Pharmacy and Pharmacy Management, Faculty of Pharmaceutical Sciences, Nnamdi Azikiwe University, Awka, Nigeria 2Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmaceutical Sciences, University of Benin, Benin City, Nigeria *Corresponding Author: Ogbonna Brian O, Department of Clinical Pharmacy and Pharmacy Management, Faculty of Pharmaceutical Sciences, Nnamdi Azikiwe University, Awka, Nigeria. Received: May 31, 2019; Published: July 17, 2019
Couples Adjustment to Failed Assisted Reproductive Technology after Counseling

This is an intervention study aimed to studying the effect of counselling on couples adjustment to failed assisted reproductive technology . It was conducted at IVF centre of Ain Shams Maternity University Hospital after obtaining faculty ethical committee approval. The sample was consisted of (110 couple: failed cases 59 and success cases 51). Tools used for data collection consisted of Couples' Structured Interviewing Questionnaire, Coping Strategy Stress Scale, Ways of Coping (WOC) Questionnaire, follow up card and PLISSIT Model for counselling program. Results revealed that couples included in the study ranged between 20-45 years, with a mean age of 30.36± 3.112 years for wives and 35.64±3.852 years for husbands. 67.3% of female were the cause of infertility, and 94.5% of couples had a previous trials of ART. Women have more (personal, social and marital) stressful experiences than men. While they both frequently use a combination of strategies to cope, study showed different coping behaviours to deal with their infertility (meaning-based coping & passive avoidance coping strategy), Husbands scores were significantly lower than before counselling with regard to passive avoidance strategy with t= 2.29, and wives scores were significantly higher than before with regard to meaning-based strategy with t= 4.28. The study concluded that counselling effective on couples' adjustment to failed assisted reproductive technology. The study recommended establishment of educational programs to enlighten infertile couples about treatment options and answer their questions and different coping strategies with failed assisted reproductive technology trials. [Safaa A. Hashim, Saher M. Soliman, Suzan E. Mansour. Couples Adjustment to Failed Assisted Reproductive Technology after Counseling. Nat Sci 2012;10(6):61-74]. (ISSN: 1545-0740). http://www.sciencepub. net. 10
PERFORMANCE EVALUATION OF 8-UPS PARALLEL MANIPULATOR

The performance evaluation is one of most important issues in the analysis and design of parallel manipulators. Characteristics such as manipulability and minimum singular value are used to determine the performance of the manipulators. The performance indices are used to eliminate the singularity and it’s near configurations. In this paper 8-UPS spatial parallel manipulator is considered and its performance indices such as condition number, manipulability and minimum singular value are determined for different structures. Based on the performance indices, the optimum configuration of the manipulator is determined. A MATLAB code is developed and used for the analysis. The results are graphically presented.
Image Processing based Lane Departure Warning System Using Hough Transform and Euclidean Distance

-Lane detection is an essential component of Advance Driver Assistance system (ADAS). Many different approaches have been proposed till today by researchers but still it is a challenging task to correctly detect the road lanes in various environmental conditions. The main purpose of the system is to detect the lane departure to avoid road accidents and to provide safety for pedestrians. The proposed method uses the piecewise stretching function to set the contrast level of the road images. The region of interest is divided into two segment namely left and right subregion using segmentation. After preprocessing the ROI, lane detection takes place individually in each subregion using the Hough transform algorithm. The lane departure identification is based on the Euclidean distance measure. If the driver tends to change the lane then the warning is issued to the driver. This method can correctly detect the roads in various environmental conditions. Results shows that the proposed method can detect both the straight and curves lanes correctly.
Effect of states and mixtures in HMM model and Connected word Recognition of Profoundly deaf and hard of hearing speech

— It is a challenge for many years that how to fix the no. of states and no. of mixtures when HMM models are used for speech recognition. In this paper we have analysed that for hearing impaired speech that is partially intelligible to people who are speaking to them frequently and it is not understandable by the unfamiliar listeners. They suffer in many aspects like education and in public places to converse with the normal speakers. Since speech is unique most of the time normal speech itself could not be understand by others. If we develop the speech recognizer for their speech it will convert their unintelligible speech into intelligible speech. Speaker dependent connected digit recognition for this task using HTK tool kit is done and the average recognition accuracy obtained is 93%. Totally 10 speakers out of which 3 are hard of hearing and 7 are profoundly deaf are considered for this experiment. Then for isolated words, no. of mixtures are varied from 3 to 10 for each set of states such as 6, 7, 8, 9, 10 and recognition accuracy is verified for each case. When we varied beyond that there is no any significant change in recognition accuracy and so it is concluded that we can have mixture and state value as 10 for small vocabulary and the recognition performance for all types of feature is comparable to that of normal speech recognition. But irrespective of the state higher recognition is achieved at 8 or 9 or 10 mixer value for different type of feature and it can be concluded that, if we have the mixer value as 8 , 9 or 10 we can get reasonable results.
Performance Estimation on Opportunistic Routing Protocol based on Reliability Analysis

- This paper discuss various opportunistic routing algorithm which is based on broadcast nature of opportunistic network and also provide novel solution of routing which have less data loss. This research work proposed broadcasting nature of wireless network to implement Opportunistic routing algorithm. This is Extension of ExOR routing protocol which is based on opportunisticrouting. Here introducing new algorithm which is resource aware. In This algorithm capacity will calculate at each node and according to capacity it will provide privilege rank. High prioritynode act as a forwarder among the candidates. When destination will reached, it will send acknowledgement that is destitution reached. Paper discuss various merits and demerits of existing mobile opportunistic routing protocol . paper also introduced novel improved resource aware protocol which maximize the throughput and minimize the packet loss.In a last section of paper RAOR (resource aware opportunistic routing protocol) resulthas compare with other previous opportunistic routing protocol.
Association of Parental Risk Factors and Severity of Autism Spectrum Disorder Using the Autism Treatment Evaluation Checklist

Autistic patients experience much pathophysiological impairment involving sensory, behavioral and cognitive disorders. The Autism Treatment Evaluation Checklist (ATEC) with its four domains is an important tool that helps effectively in monitoring and diagnosing children with autism. The aim of our study is to correlate between Parents’ risk factors and Severity of Autism Spectrum Disorder Using the Autism Treatment Evaluation Checklist (ATEC). Sixty autistic boys and girls aged between 2 8 yrs were included in the study. A questionnaire of two sections (ATEC and questions regarding the autistic child, parents, and siblings) was distributed to the parents of autistic children and the data was gathered and analyzed. There is an association between the severity of Autism spectrum disorder (ASD) with parental allergies, and chronic diseases. The severity of specific domains in ASD was also correlated with delayed diagnosis of ASD. This study investigated risk factors that affected the severity of ASD, in addition to correlation between the different domains. As ASD is still not well understood, therefore, it is important to try to understand the causes of its severity, because it will help the multi-disciplinary team to detect, diagnose and treat autism.
Credit Card Transaction Fraud Detection by using Hidden Markov Model

This paper proposes a HMM (Hidden Markov Model) based fraud detection system for credit card fraud detection. The method works on the statistical behavior of user's transactions. Since the original transactions are not available due to privacy policies of bank we used here synthetically generated data for a credit card user, and then HMM model is trained using different size of sample of generated labeled data we also discuss the performance of the HMM model on this data set in terms of detection accuracy and earliness of fraud detection. The system has been tested on a Pentium 4 PC with 2 GB of RAM, the test program is coded in MATLAB 7.5.
Various Techniques for Fault Tolerance in Distributed Computing System-A Review

: A distributed system has a number of independent computers allied up a network and sharing middleware which enables computers to organize their behavior and behave as a single coherent system. Mobile computing system is also one of the types of distributed computing system. In this network nodes are called mobile node. It is example of the distributed computing system. There are number of issues in distributed computing system like node failure, overloading, load imbalance and fault tolerance. In this computing system there is no central authority, so chances of node failure more. This paper provides various techniques for fault tolerance in distributed computing system. In this paper, it is also suggested that check-pointing technique is the optimal technique for fault tolerance during node failure or mobility.
Simulation of Wearable ECG Monitoring Device using MATLAB and J2ME Wireless Toolkit

— Owing to an increase in the rate of cardiovascular diseases, it is of utmost importance to provide appropriate healthcare services to the masses in the form of wearable devices that are wireless and work in a ubiquitous environment. The simulation of one such wearable device is shown in this paper. The device continuously monitors, ECG and if there is any change in the ECG, sends MMS of the changed ECG to patient’s mobile phone, which is interfaced to the hardware device via a Bluetooth interface; and in turn, the patient’s mobile phone will send that ECG image to a mobile phone at the hospital. The purpose of this paper is to show simulation of this device using MATLAB and Java 2 Micro Edition (J2ME) Wireless Toolkit (WTK).
Performance Analysis of FBMC Prototype Filter under the Effect of Variable Parameters for Physical Layer Cognitive Radio

: In the present day world of wireless communication scenario, some spectrum bands are highly utilized while many remain moderately utilized or rarely occupied. The cognitive radio is a new paradigm to overcome the persisting problem of spectrum underutilization. Seeing the ever increasing demand of wireless applications, the radio spectrum is a valuable resource and in cognitive radio systems, trustworthy spectrum sensing techniques are required to avoid any harmful interference to the primary users. As cognitive radio has the capability to utilise the unused spectrum holes or white spaces so, there is a tremendous need to scan the large range of spectrum either for interference management or for primary receiver detection. Dynamic Spectrum Access techniques need to be implemented for the sake of better radio resource management and computational complexity analysis of multirate filter bank cognitive radio, where BER and Eb/No are the performance metrics or governing parameters to affect the system performance using polyphase filter bank. The present paper deals with the study of effect of variation of number of subchannels M at fix overlapping factor K of polyphase component of FBMC cognitive radio in terms of prototype filter length at Lp=KM+1 .
Hypertriglyceridemia Induced Recurrent Pancreatitis: Successfully Managed with Insulin and Heparin in Community Hospital Settings

Hypertriglyceridemia is a well-known cause of acute pancreatitis. A serum triglyceride level of more than 1000 mg/dl is the identifiable risk factor. Clinical presentation of hypertriglyceridemic pancreatitis is similar to other causes. Treatment is conservative with measures to rapidly lower triglyceride levels by plasmapheresis; insulin and heparin, or purified apo C II. Once acute attack of pancreatitis resolve, subsequent control of hypertriglyceridemia with dietary restriction of fatty meals, antihyperlipidemic agents and even regular apheresis is required to prevent further episodes of acute pancreatitis. Yet there are no clear guidelines for the management of hypertriglyceridemic pancreatitis to follow. Limited literature is available about the efficacy of intravenous insulin and heparin. We are presenting a case of 17 year old male with recurrent episodes of hypertriglyceridemic pancreatitis, successfully managed with insulin and heparin therapy.
Chapter 6:Drug Transporters in the Lung: Expression and Potential Impact on Pulmonary Drug Disposition

Understanding and quantifying the effects of drug transporters within the human body is essential for modulating drug safety and efficacy. This book comprehensively reviews current knowledge and techniques in the transporter sciences and their relations to drug metabolism and pharmacokinetics. It will serve as an essential handbook of information for postgraduate students, academics, industrial scientists and regulators who wish to understand the role of transporters in absorption, distribution, metabolism, and excretion processes.
Research Trends in Simulation of Networked Control Systems

– Networked Control Systems (NCSs) are one type of distributed control systems where sensors, actuators controllers are interconnected by communication networks. In this paper the NCS and its simulations are discussed. The beginning of this paper discusses the NCS and control and communication challenges in NCS. The next part of this paper discusses the simulation of NCS using different simulators and control methodologies.
Formulation and Evaluation of Miconazole Niosomes

This study was to investigate the feasibility of using niosome as a transdermal drug delivery system for Miconazole. Topically applied niosomes can increase residence time of drug in the stratum corneum and epidermis, while reducing the systemic absorption of the drug. It also improves the horny layer properties both by reducing transepidermal water loss and by increasing smoothness via replenishing lost skin lipids. Miconazole is a imidazole antifungal agent used in the treatment of candida infections, fungal infections. Niosome was prepared by Thin Film Hydration Technique. Miconazole niosomes were prepared by varying the cholesterol and surfactant ratios as 1:0.5, 1:1, 1:1.5. Each formulation was evaluated for percentage of drug entrapment and for their cumulative drug release. formulation with 1:1 CHOL: SA ratio, the concentration of SA was increased and it has shown 92.10 % drug release in 24 hours. The release showing required amount of drug release per day as well as extended for the required day is the optimized formulation. Hence, B formulation is the optimized one.
QoS Enhancements using IEEE 802.11p WLANs for Communication Based Train Control Systems

: In near future, communication based train control (CBTC) systems will play a major role in the urban railway networks in the world. CBTC systems are an automated railway signaling system that makes use of telecommunications to ensure safe operation between rail vehicles. For the urban railways Wireless local area networks (WLAN) based CBTC is the best approach because of wide availability of WLAN equipments. In the earlier works, IEEE 802.11a based WLANs are used to provide bidirectional train ground communications. But these WLANs are not suitable for high speed environments with frequent change in network topology, which may result in communication interrupt and long latency. In this paper IEEE802.11p WLANs are used to provide better communication availability in the CBTC environment. In the proposed work Quality of service (QoS) parameter metrics like throughput, delay are analyzed by using NS-2. Simulated results show 802.11p is more suitable than 802.11a for CBTC systems .
The Role of Injectable Devices in Nonsurgical Facial Rejuvenation: Clinical Impressions and Recommendations

Noninvasive and minimally invasive, nonsurgical facial soft-tissue augmentation procedures are becoming increasingly popular alternatives to traditional rhytidectomy. As the processes underlying facial aging are elucidated, new techniques addressing facial volume loss will be required. Nonsurgical face-lifts utilize combinations of injectable agents and devices, including botulinum toxin type A, hyaluronic acid derivatives, poly-L-lactic acid, and calcium hydroxylapatite. The agents chosen by the clinician depend on the type of defect and the facial area involved. Botulinum toxin type A is the most commonly used product in the correction of dynamic rhytides, whereas injectable devices are used to correct depressions in the nasolabial fold, orbital rim, cheeks, and oral commissure. This article will review the various devices available and provide insights gained during the
Unprivileged Detection of User Space Keyloggers

: This application allows maximum flexibility to the user to work on the internet. There is software which install on thesystem, continuously monitoring to find the existing key-logger which is present in the systems and give alert to prevent them. It is most efficient way to get secured from hacking. Key loggers are implanted on a machine to intentionally monitor the user activity by logging keystroke sand eventually delivering them to a third party. We propose a new approach to detect keyloggers running as unprivileged user-space processes. To match the same deployment model, our technique will be entirely implemented in an unprivileged process. As a result, our solution will be portable, easy to install, and yet very effective. In addition, the proposed detection technique will be completely black-box, i.e., based on behavioural characteristics common to all keyloggers. In other words, our technique will not rely on the internal structure of the keylogger or the particular set of APIs used for this reason; our solution is of general applicability. The modules which will be present in this system are that we detect key loggers running as unprivileged user-space processes.
Early Diabetes Detection using Machine Learning: A Review

Machine learning is one of the aspect of artificial intelligence that allows the development of computer systems that have the ability to learn from experiences without being the need of programming it for every instance. Machine learning is dire need of today’s scenario to eliminate human effort as well as come up with higher automation with less errors. This paper focuses on the review of Early Diabetes detection using machine learning techniques and detection of the frequently occurred disorders with it-mainly Diabetic retinopathy and diabetic neuropathy. The data set employed in most of the concerned literature is Pima Indian Diabetic Data Set. Early diabetes detection is significant as it helps to reduce the fatal effects of the diabetes. Various machine learning techniques like artificial neural network, principal component, decision trees, genetic algorithms, Fuzzy logic etc. have been discussed and compared. This paper first introduces the basic notions of diabetes and then describes the various techniques used to detect it. An extensive literature survey is then presented with relevant conclusion and future scopes with analysis have been discussed.
LOW POWER FLIP-FLOP DESIGNS FEATURING EFFICIENT EMBEDDED LOGIC

--A DML mode logic is introduced here which improves the speed performance of the design, also achieving significant energy consumption reduction. The large capacitance in precharge node is eliminated by the DDFF and DDFF-ELM designs by following a split dynamic node structure. The DDFF offers power reduction. The DDFF-ELM reduces pipeline overhead. 4-b Johnson up-down counter is used to magnify the performance improvement of the designs, to which the DML logic is introduced. An area, power, and speed efficient method is presented here that incorporates complex logic functions into the flip-flop. The DML logic used in DDFF-ELM helps to achieve low power and high speed requirements.