Miracle-dz/UniFAR-FTUs huggingface dataset:
Internal Audit Quality and Its Impact on Public Sector Organizational Performance: Evidence from Sector Bureaus of Southern Ethiopia

The quality of internal audit plays a significant role in enhancing organizational performance of public sector bureaus. So, the objective of this study was to examine the effect of internal audit quality on organizational performance of public sector selected bureaus in southern Ethiopia. To this end, the researcher employed quantitative research approach with explanatory research design where the effect caused by the independent variable on the dependent variable is observed through regression analysis. The primary data was collected using structured questionnaire from 112 respondents out of total 148 respondent’s selected using simple random sampling technique from bureaus of southern Ethiopia. Then, both descriptive and inferential statistics analysis (multiple linear regression) have been done through SPSS version 21.0 and E-views version 9 in order to get the reliable research findings. Consequently, the result of regression analysis showed that, four variables such as independency of internal audit (positive), competency of internal audit staff (positive), management support (positive), and formal mandate of internal audit (positive) and statistically significant out of eight variables incorporated in the model. Whereas, other explanatory variables like objectivity, internal audit standard, competent leadership and unrestricted access to audit evidence were not statistically significant respectively. Based on the findings of the study, the researcher forwarded possible recommendations for bureaus to work on independency of internal audit, competency of internal audit staff, management support, and formal mandate of internal audit due to the fact that they are statistically significant and has positive influence in improving internal audit quality on one hand and organizational performance of bureaus on the other hand.
Establishing Effective Connectivity in Brain using Dynamic Bayesian Network

: Dynamic connectivity is shown essential for normal brain function. It is difficult to develop model for inferring brain effective connectivity from non invasive (fMRI) data. Author prefers DBN because its suitability and flexibility and it has solid base on statics. the proposed method detect the statistically significant, biological plausible connectivity between task related region of interest(ROIs) that difference between schizophrenic and normal subject, finding more knowledge which consist of prior neuroscience knowledge. Determine highly reproducible DBN node/edges across subjects seem promising for inferring altered functional connectivity within a group.
APPLYING QBD APPROACH TO DEVELOP ODTS CONTAINING ACECLOFENAC SOLID DISPERSION WITH RANITIDINE HCL USING DIRECT COMPRESSION TECHNIQUE, THEN PHARMACEUTICALLY EVALUATING AND PHARMACOLOGICALLY CONFIRMING THE THERAPEUTIC ACTIONS

Objective: An ODTs development requires the incorporation of highly soluble drugs to achieve the intended effect. In a challenge to prepare ODT of Aceclofenac, its solid dispersion with polymer, surfactant and pH-modifier was incorporated in a fast disintegrating matrix. Drug carrier interactions, carrier selection and carrier level optimization were investigated in a previous study [1]. Aceclofenac quaternary solid dispersion (ACQSD) (1:1:1:1) for PVP polymer, (1:1:0.5:1) for PEG polymer and (1:1:1:1) for HPMC polymer was selected to prepare its ODT. These AC-QSDs were achieved the critical quality attribute (CQA) of dissolution and become a candidate to obey quality target product profile (QTPP). On other hand, Ranitidine HCl was incorporated in the ODT to manage GIT side effects of Aceclofenac. Methods: IV-optimal design was employed as a statistical approach to select diluent type and solid dispersion type beside optimize the type and level of superdisintegrant with regarding hardness, friability and disintegration time as CQAs. AC-QSDs were the governing factor for dissolution enhancement. Multiple regression analysis exposed a significant effect of the polynomial terms for developing ODT. Results: It was observed that the hardness and friability are the most significant factor influencing the disintegration time and dissolution profile. The pharmacological study proved superior analgesic and anti-inflammatory activity without GIT side effects for Aceclofenac solid dispersion with ranitidine HCl ODT in comparison to market product. Conclusion: this study confirmed that quality by design (QbD) is an effective approach for understanding the quality and optimizing the formulation of ODT containing Aceclofenac solid dispersion with ranitidine HCl.
The Necessity of Participation of Patients with Chronic Heart Failure in Cardiac Rehabilitation

Cardiac rehabilitation (CR) is a well-documented and evidencebased course of long-term management for patients with chronic heart failure (CHF). The core components of comprehensive CR programs for CHF patients are exercise, education, counseling and psychosocial support, services which are delivered by a multidisciplinary team and are accompanied by excellent outcomes for both the patient and the healthcare system in general [1].
A Mobility and Communication Aware Routing Approach for Nested Mobile Network

: Nested mobile network is a hybrid communication network defined with complex architecture. In this network time, two levels of nodes are defined with different routing scenarios. In this work, a mobility aware route optimization is proposed for nested mobile network. The work in this network is divided in two main stages. In first stage, the mobility analysis is performed by tracking the nodes for two time stamps. Once the mobility of nodes is analyzed, the next work is to predict the next communicating neighbor by performing the communication level analysis. The optimized route is elected as the communication hop. The work is about to generate effective route based on communication and mobility vectors.
Dual-band ( 1 : 4 ) Wilkinson Power Divider on Silicon

This article presents the design and realization of a two stage dual band (1.575 GHz and 2.680 GHz) Wilkinson power divider on silicon substrate using microstrip technology. The design incorporates compact open stub in serpentine shape. Step impedance resonator (SIR) in T-shaped stub is incorporated to provide additional degree of freedom. The measured performance shows insertion loss variation of ± 0.4 dB (max.), return loss better than 15 dB and isolation greater than 13 dB at both the frequency bands and the results are in close agreement with the simulation.
Searchable Symmetric Encryption-A Survey

Cryptology has opened possibilities for a fully secure communication and transfer of information between parties. With time, a lot of primitives have been proposed as improvements of the earlier ones. This paper focuses on a relatively new primitive, Searchable Symmetric Encryption. It allows updations in the information while it is stored on a trusted third party due to lack of resources. Earlier considered as impossible, the proposals by Goh using secure indexes and Ostrovsky-Goldreich on oblivious RAMs failed such notions. Now, information can reliably be stored and each segment of information can be retrieved when the need arises. SSE provides practical efficiency unlike generic cryptographic primitives like Homomorphic Encryption and Multi-party computation. Being a honeypot for researchers, a lot of developments have been going on in the direction of further optimizing SSE. A state-of-art discussion followed by a brief survey of some noteworthy research works is provided in the paper.
Review of Prioritization Techniques in Regression Testing

-Due to the rapidly changing business and operating environment, software evolution is bound to happen. As software evolution goes on, the system requires to be retested again to test its validity and thus regression testing helps in achieving this goal. Regression testing can be categorized into different research areas and one of its important areas is test case prioritizations which arrange test cases on defined benchmarks with respect to the available resources and make sure that the most important or critical test cases are tested first. In this paper, we study the different test case prioritization techniques and rise out the different problems. This study will gave an understanding of the problem currently occurring in test case prioritization and thus guide for future research work on test case prioritization.
Reducing Handoff Blocking Probability in Wireless Cellular Networks using Auxiliary Stations and TDMA

---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - The wireless communication among mobile users is restricted by frequency spectrum allotted to the network. When a mobile user enters the interference region between cells, the call in progress must be continued by registering to adjacent cell BS, resulting into successful handover. The call can only be continued in case there is free channel available at the base station otherwise the call is blocked. Several approaches have been evolved that aims to reduce the handoff blocking probability to a satisfactory level. The proposed algorithm integrates the concept of auxiliary stations with the TDMA approach to reduce the handoff call blocking probability in heavy network traffic conditions. The auxiliary stations hold these handoff requests while channels associated with the base station is busy and continually checks for the availability of channels at fixed time intervals. TDMA approach divides each channel in the network into time slots and allocating them to requests in some determined fashion. The algorithm is implemented and simulated in MATLAB. The results justify that the handoff blocking rate is reduced to an extent along with better bandwidth utilization provided and avoids network congestion.
Role of Psychoeducation on Self- Management of Type 1 Diabetes in Adolescents-A Review

The efficacy of Psychoeducation for adolescents with type 1 diabetes mellitus has long been debated among mental health professionals. Psychoeducation is an effective intervention which aids in managing the mental health concerns of the adolescents along with the parameters of their illness such as insulin regimen, dietary and exercise discipline and need for autonomy as adolescence is a developmentally challenging period. The current paper reviews twofold objectives: first is to comprehend the relationship between psychosocial factors, Psychoeducation and type 1 diabetes. Second is to uncover the implications of Psychoeducation in health care practice. A review of 40 studies from 1991 to 2014 was carried out to understand the role of Psychoeducation in type 1 diabetes. The studies reviewed indicates a positive association between Psychoeducation, quality of life, reduction in disturbed eating pattern and management of their health condition.
Privacy Protected Query Processing on Spatial Networks

— Privacy Protected spatial queries refer to spatial queries whose answers rely on the location of the inquirer. Efficient processing of Privacy Protected spatial query is of critical importance with the ever-increasing deployment and use of mobile technologies. We show that Privacy Protected spatial query have certain unique characteristics that the traditional spatial query processing in centralized databases does not address. For example, a significant challenge is presented by wireless broadcasting environments, which have excellent scalability but often exhibit high latency database access. We present a novel query processing technique that, though maintaining high scalability and accuracy, manages to reduce the latency considerably in answering Privacy Protected spatial query. Our approach is based on peer-to-peer sharing, which enables us to process queries without delay at a mobile host by using query results cached in its neighboring mobile peers. We demonstrate the feasibility of our approach through a probabilistic analysis, and we illustrate the appeal of our technique through extensive simulation results.
Multi-view Object Extraction by using the Fractional Boundaries

: This paper presents an automatic method to extract a multi-view object in a natural environment. We assume that the target object is bounded by the convex volume of interest defined by the overlapping space of camera viewing frustums. There are two key contributions of our approach. First, we present an automatic method to identify a target object across different images for multi-view binary co-segmentation. The extracted target object shares the same geometric representation in space with a distinctive color and texture model from the background. Second, we present an algorithm to detect color ambiguous regions along the object boundary for matting refinement. Our matting region detection algorithm is based on information theory, which measures the Kullback-Leibler (KL) divergence of local color distribution of different pixel-bands. The local pixel-band with the largest entropy is selected for matte refinement, subject to the multi-view consistent constraint. Our results are high quality alpha mattes consistent across all different viewpoints.
Design and Performance Analysis of MIMO-DSSS System for 2.4 GHz ISM Band Wi-Fi Applications Using Microstrip Antennas

: In this paper, compact antenna has been designed and implemented in a 2X2 Multiple-Input Multiple-Output (MIMO) system. The antennas are compact double-sided printed microstrip patch antennas and fed by a microstrip line designed for a frequency of 2.4 GHz used for industrial, scientific and medical (ISM) band applications. Polarization diversity of the two antennas is used to construct independent and uncorrelated signals on each antenna. The antennas are designed on CST Microwave studio simulation software with return loss less than -10dB, and the two antennas are combined as a single system forming a MIMO array of two antennas, Further, using the results from CST, MIMO-DSSS system has been implemented and a performance analysis of this system is done on MATLAB software. The performance of this system is studied using BPSK modulation and finally bit error rate is obtained. The paper details the implementation of the digital communication system along with the simulated and measured results. The system is designed for 802.11n Wi-Fi family of standards that has an operation frequency of 2.4 GHz but with MIMO system that offers an increased data rate.
Real Time Detection of Facial Expressions using Machine Learning Algorithms

— Identifying Human Emotion is important in facilitating communication and interactions between individuals. They are also used as an important mean in studying behavioral Science and in studying Psychological changes. There are many applications which uses Facial Expression to evaluate human nature, their feelings, judgment, and opinion. Recognizing Human Facial Expression is not a simple task because of some circumstances due to illumination, facial occlusions, face color/shape etc. Since face is the prime source for recognizing human emotion, this paper will provide the best method that can be adopted for non-invasive real time emotion detection. This paper involves a comparative analysis of facial expression recognition techniques using the classic machine learning algorithms-KNN, SVM, Ensemble classifiers. The machine learning algorithms have been implemented on JAFFE IMAGE DATABASE on MATLAB 2016a. Successful and satisfactory results have been obtained giving the future researchers in this field an insight into which technique to be used when, to get the desired results.
Role of Botanical Drugs in Controlling Dengue Virus Disease

-Dengue is a mosquito-born viral infection which is one of the serious threats to human population and economic burden in tropical and sub-tropical region particularly in Asia. The viral infection causes flu-like symptoms and can develop into a potentially fatal form of the disease – dengue haemorrhagic fever (DHF) which eventually leads to dengue shock syndrome (DS). The severity of dengue fever is further amplified by the lack of treatment. Till today there is no treatment or medicine for controlling the dengue fever and except Dengavaxia which is not enough for the protection from infection of all the four serotypes of dengue. India has a rich diversity of herbal medicine which is used in traditional ethnomedicine. Indian rural population still depends upon herbal medicine for the treatment of various viral fevers including dengue virus disease because of its cost effectiveness and easily availability. Therefore, Indian traditional/folk medicine system known as Ayurveda plays an important role in controlling many viral infections including dengue disease. Hence new antiviral medicines of botanical origin could be easily accepted, being non-toxic and inexpensive. This review paper updated and discussed most of the published research work on the use of herbal medicine for the treatment of dengue fever which could be the primary knowledge on the anti dengue plants. These anti dengue plants could be further analyzed and studied for the future development of botanical drugs for controlling dengue viral disease.
A Case Study on Effects of Low Pass Filtering over Facial Image Processing and Proper Edge Detections

: The proper information extraction from a digitized photo of human face has a great necessity in today’s research work. Different types of high frequency noises must be removed in order to get smooth and ideal information from the picture. The choice of correct low pass filter is important in order to remove significant amount of high frequency noise components without affecting the facial information in the image. A case study has been performed with several low pass filtering techniques in order to suggest the probable better filtering techniques for different types of noises in different circumstances. The variations of different filter performances alongside their dimensions are also addressed in this paper.
An Analysis of Unsteady MHD Couette Flow and Heat Transfer in a Rotating Horizontal Channel with Injection/Suction

The Present paper aims significantly analyses the effect of transient hydro magnetic Coutte flow and heat transfer of an incompressible electrically conducting viscous fluid through a porous medium between two infinitely long horizontal parallel plates when upper plate is allowed to move in the presence of uniform transverse magnetic fluid normal to the plates whereas lower plate kept at rest taking injections/suction into account. The channel rotates about an axis perpendicular to the plates of the channel. The nondimensional governing the transient momentum equation and the energy equation are solved analytically by applying the perturbation technique. The effect of various physical pertinent parameters is discussed on the flow field, the temperature profile numerically and presented by figures. The thermal slip at the lower plate is taken in account. The effect of Skin friction and rate of heat transfer in terms of Nusselt number is shown by tables. Our results reveal that the combined effects of magnetic field (M), rotation parameter (Ω), Prandtl number (Pr), permeability (Kp), injection/suction (Re), heat generation/absorption (S) and thermal slip have significant impact on the hydromagnetic flow and heat transfer. The Problem is very much significant in view of its several engineering, geophysical and industrial applications.
Optimal Control Distribution in Multi-Relay MIMO Support Networks

: Cooperative networking in latest years has established a considerable interest from the wireless networking research community. Many interesting problems for cooperative networks have been energetically researched. Due to inadequate incredible understanding of the optimal authority provision structures in multiple-input multiple output (MIMO) supportive networks, these two constraints are interrelated. In this paper, we study the structural properties of the optimal authority provision in MIMO-CN with per-node power constraints. In particular, the optimal control distributions at the supply and each transmit follow a matching structure in multiple-input multiple output Cooperative networks (MIMO-CN) is shown in this paper. To the multi-relay setting, the power provision result is comprehensive under the basic three-node setting, for which the optimal authority provision structure has been heretofore unknown. Due to cooperative relay and set up a connection between accommodating relay and pure relay by specifying the performance. Finally, we decrease the MIMO-CN rate maximization problem to a comparable scalar formulation based on these structural imminent. Further a global optimization method is proposed to solve this simplified and corresponding problem.
New Security Paradigm in Cloud Computing

: Nowadays, with evolution of the new technology cloud computing play a vital role for the business organization. Cloud computing provides the ability to utilize scalable, distributed environment via internet on demand and pay as per use. Today’s cloud computing place centralized, universal trust in all the cloud nodes. However there may be negative impact on the nodes that are compromised and leads to various attacks. To address these issues, a number of research papers have been presented by authors. In this paper are given a review of these papers. More precisely are try to find out the limitation of existing technique and try to overcome them.
Implementation of Server Resource Management System for Cloud Environment

-Cloud computing allows business customers to scale up and downtheir resource usage based on needs. Many of the touted gains in thecloud model come from resource multiplexing through virtualizationtechnology. In existing, we develop a resource allocation system that can avoid overload in the system effectively while minimizing the number of servers used. Also we introduce the concept of “skewness” to measure the uneven utilization of a server. By minimizing skewness, we can improve the overall utilization of servers in the face of multi-dimensional resource constraints. We propose designing a load prediction algorithm that can capture the future resource usages of applications accurately without looking inside the VMs. The algorithm can capture the rising trend of resource usage patterns and help reduce the placement churn significantly. We present the design and implementation of an automated resource management system that achieves a good balance between the two goals. Two goals are overload avoidance and green computing. We develop a set of heuristics that prevent overload in the system effectively while saving energy used. The experiment results demonstrate that our algorithm achieves good performance.
Opinion Mining in Twitter: How to make use of Sarcasm to Enhance Sentiment Analysis: A Review

 Abstract —NLP is processing linguistic data to get its features or to better understand the human languages. It mainly involves Processing of big natural language corpora by computer to get a desired output as information from the corpora. In opinion mining, we determine mood of Author from the text about a particular topic or product. It is also called Sentiment analysis and its task involves building a system that categorizes the text data. The Free Dictionary1 defines sarcasm as a form of verbal irony that is intended to express contempt or ridicule. This paper states the work that is done identifying sarcasm in the twits to improve the opinion mining in twitter data.