Miracle-dz/UniFAR-FTUs huggingface dataset:
Psychogenic Status as a Risk Factor in Minimal Pathological Conditions of the Vocal Cords-A Clinical Study in a Tertiary Teaching Hospital of Telangana

Background: Voice disorders are encountered in patients of all ages, gender, and social status. The risk factors are often multifactorial and cannot always be fully described in anatomical or functional terms. Furthermore, voice disorders are much more varied than mere hoarseness. Psychosocial factors can be risk factors and affect the voice in patients with some types of the minimal associated pathological lesions (MAPLs) of the vocal folds. Aim of the Study: The aim of this study is to evaluate patients with MAPLs of the vocal folds to understand the role of psychogenic stress as a risk factor and pathogenesis of this clinical entity. Materials and Methods: A total of 72 patients with MAPLs of the vocal folds were included and evaluated with voice and psychiatric protocols, and the results obtained were compared with a control group of 50 subjects who were also evaluated with the same voice and psychiatric protocols. Conclusions: There was a statistical significance between the both groups in relation to some of the psychiatric scales. The results obtained showed clear evidence of psychogenic background acting as a risk factor in the pathogenesis of certain types of MAPLs of the vocal folds, vocal folds nodules, vocal folds polyps, and contact granuloma.
Identifying Vulnerable User In Linkedin Using Web Description Logic Rule Generation

: One of the most preferred networks by professionals amid social networks is LinkedIn. The rapid and explosive growth of these social networks has enabled certain people to misuse the same for illegal and unethical conducts. Nonetheless, considering LinkedIn, these behavioral assertions prove very restrictive in the openly available profile information for users by privacy policies. The publicly present profile information of LinkedIn is limited. Here, it is suggested to pinpoint maximum group of the profile information required to identify vulnerable user in LinkedIn and also determine the proper data mining strategy for this task. In this paper Web Description Logic Rule Generation algorithm is put forth to find and examine vulnerable users and also used to remove the attackers from LinkedIn. Using this algorithm, identifying vulnerable users and to protect them against the attackers is possible according to the sharing threshold. When the threshold value exceeds the limit, the shared person will be removed from OSN. It is demonstrated that using limited profile information, this strategy is capable of spotting attackers at an accuracy of 94% and as low as 3.67% false negative.
Role of Physical and Clinical Parameters in Diagnosing Renal Artery Stenosis by Scintigraphy

Renovascular hypertension (RVH) is likely to be curable hypertension mostly caused by renal artery stenosis [1]. Captopril renal scintigraphy is a noninvasive cost effective method of demonstrating RVH. Early diagnosis and treatment of RVH result in avoidance of parenchymal damage and there are no side effects of captopril renography were observed P P[2,3]. The purpose of this study is to assess the clinical usefulness and the role of captopril in diagnosing the patients who have renal artery stenosis (RAS) by scintigraphy. Thirty patients with highly suspected renal artery stenosis underwent two protocols baseline and captopril scintigraphy using 111MBq of 99mTcMAG3. From (25-50) mg oral dose of captopril (angiotensin – converting enzyme inhibitor) was given one hour before captopril study. The renographic criteria were established to diagnose renal artery stenosis based on presence of captopril that made changes in the curve of renogram. RAS was detected in ten patients confirmed on renal angiography and captopril scintigraphy was positive for RAS in nine of these with sensitivity 90%. The other twenty cases were negative for RAS by captopril study. The criteria which were established for diagnosing RAS are prolongation of Tmax with p=value (p=.009) as the mean ± SD min (5.58 ± 2.23) min. at basal study and (12.6 ± 6.05) min. at captopril study or presence of parenchymal retention recorded together with prolonged TR1/2R after captopril administration. Parenchymal retention (activity retained in the cortex) is an important criterion that represent high probability of RAS. Mismatching between time to maximum count rate or parenchymal retention at both basal and captopril study is a highly suggestive cause of significant RAS that sure sign for renovascular hypertension. Angiography is recommended for those who diagnosed to have RVH.
Feature-Preserving Simplification of Point Cloud by Using Clustering Approach Based on Mean Curvature

For point cloud data obtained from 3D scanning devices, excessively large storage and long post-processing time are required. Due to this, it is very important to simplify the point cloud to reduce calculation cost. In this paper, we propose a new point cloud simpli(cid:12)cation method that can maintain the characteristics of surface shape for unstructured point clouds. In our method, a segmentation range based on mean curvature of point cloud can be controlled. The simpli(cid:12)cation process is completed by maintaining the position of the representative point and removing the represented points using the range. Our method can simplify results with highly simpli(cid:12)ed rate with preserving the form feature. Applying the proposed method to 3D stone tool models, the method is evaluated precisely and eﬀectively.
A Systematic Review of Women Entrepreneurs Opportunities and Challenges in Saudi Arabia

Generally perceived as subordinates across all sectors, women have enhanced their business image, which is a vital part of business success. This paper intends to evaluate women entrepreneurs’ journey in Saudi Arabia through a systematic review to assess the opportunities and challenges experienced by women entrepreneurs during the past 18 years (from 2005 to 2019). The study has followed a restricted research protocol to locate and investigate related studies. A total of 96 articles were found across the selected database and search engines; 22 studies were found discussing the examined topic specifically. The analysis revealed that cultural factors, social factors, and financial constraints impact women’s participation in the region. It also highlights that women’s inclination towards customer satisfaction helps them advance their businesses in distinguished ways. Women must be provided with training and support at both the institutional and societal level to achieve the desired success threshold in the entrepreneurial world in Saudi Arabia.
Head Gesture Recognition System using Thermal Camera

The Gesture is defined as movement of the part of the body. In the existing research work, the research based on the camshift based head gesture recognition system is going on. This existing system deals with some limitations. So, to overcome these limitations, the methodology used in this paper is to improve the existing algorithm and the camera used. This proposed system is used in an intelligent wheelchair for the peoples having parkingson and quadriplegics diseases. The HGR System is the difficult task in the field of image processing. The different researchers applied different algorithms for identifying head gestures in the outdoor environments. In this paper, head gestures of the user are recognized by using thermal camera. The different environmental conditions are the cluttered background, sunshine, shadow, changing illuminations, lighting condition, darkness conditions etc. the role of thermal camera is the best in the darkness conditions. The simulation results shows the use of thermal camera in the darkness conditions
Small-scale irrigation and household wages relationship: Proof from Deder district, Ethiopia

Investment in irrigation development is an important strategy in reducing risks associated with rainfall variability and achieving food security. This study examines the link between small-scale irrigation and household income. It also presents inherent institutional challenges in water allocation and the unintended outcomes. It used cross-sectional data obtained using a sample of 150 respondents selected through multi-stage sampling techniques from Deder district in eastern Ethiopia in 2009/2010 cropping year. The data were analyzed using Heckman-two step econometric models. The probit estimation shows that sex of the household head, access to credit and extension services have significant positive effect whereas the financial constraints restrains participation in irrigation water utilization. The ordinary least square using household income as outcome variable reveals that credit access, livestock holdings and proportion of land allocated to irrigation have significant positive effect on household income. This indicates that the more land is allocated to irrigation the higher will be the income. Moreover, the study pointed out that local institutional failure was a more important challenge than hydrological factors in managing the irrigation system. This has a policy implication in terms of strengthening the institutional environment.
International Journal of Innovative Technology and Exploring Engineering (IJITEE)

Tweet Polarity detection the process of observing and identifying the sentiment inclination of text, whether it is positive or negative. In this paper, improved polarity detection on tweets using supervised learning is proposed. This method is using data sets available in public. The pre-processing is improved using proper caching of data items to save the time for processing of duplicate items in data sets. The feature selection strategy ensures reduced dimensionality. The low dimension data improves the classification efficiency. The experiment shows that the method is improving the overall performance in training and testing of polarity detection.
Active harmonic filtering using current-controlled, grid-connected DG units with closed-loop power control

Renewable energy sources such as solar, wind are becoming more popular to generate power. These renewable energy based power generation systems generate DC power output. An inverter is needed to convert DC power from renewable energy sources into AC power. These renewable energy sources are connected to the grid through interfacing converters which supply active and reactive powers to the main grid. Inverters are either be connected in standalone or in grid connected mode. In the case of grid-connected mode, the output voltage and frequency of inverter should be same as grid voltage and frequency. If loads connected to the grid are non-linear in nature, then it can introduce power quality problems such as harmonic distortions in grid voltage.
The Functional Recovery and the Associated Cortical Reorganization Following Constraint-Induced Movement Therapies (CIMTs) in Stroke

Volume 4 • Issue 6 • 1000296 Int J Neurorehabilitation, an open access journal ISSN: 2376-0281 *Corresponding author: Ali A Bani-Ahmad, PT, CPT, CKTP, PhD. , Assistant Professor and Consultant of Physical Therapy, Department of Physical Therapy, Faculty of Applied Medical Science, University of Tabuk, 71491 Tabuk, KSA, Saudi Arabia, Tel: 966533933971/0144561602; E-mail: ali.baniahmed@gmail.com/ a.baniahmad@ut.edu. sa
Intrusion Detection System using Adaboost based approach and Fuzzy genetic algorithm

: Network intrusion detection systems (NIDS) have full-fledged to be a standard feature in security infrastructures. Insufficiently, current systems are underprivileged at detecting the unknown attacks. Data mining is a process to extract information and knowledge from a large number of incomplete, noisy, fuzzy and random data. As a key to this problem we put forward the application of classification techniques of data mining which can be applied to network connection data to detect the various types of attacks, In this paper, we developed an Intrusion Detection System to extend the detection rate of U2R and R2L attacks. We then evaluate existing systems, from commercial systems, to research based intrusion detection systems. Standard datasets and feature extraction turned out to be more important than we had initially expected, so each can be found under its own heading. Next, we review the actual data mining methods that have been implemented. We finish by summarizing the open problems in this area and proposing a new research project to respond some of these open problems.
A Review Intrusion Detection System using KDD’99 Dataset

Development of internet or mobile technology number of users increases day by day which also makes ease of communication. But the use of lots of internet network compromise with rigorous type of security threats or intrusion which persuade the performance of the system. Due to the lack of satisfaction in intrusion detection is makes possible to develop such system which can detect the intrusion efficiently. Many author or researchers has developed the system for intrusion detection using KDD’99 dataset. In this paper we discuss about the various approached/method developed by different researchers for the detection of intrusion. We also present the shortcomings of these methodologies.
Service Differentiation for Achieving Fairness in Multi-Traffic Class in MANET

 Abstract: Multi-access for multi-mode terminals is possible in heterogeneous networks environment that becomes a critical issue for transmission in parallel with meeting user Quality of Service (QoS) performance requirements and throughput maximization. Without considering the service type, the existing optimal resource allocation schemes may allocate the scarce radio resources inefficiently. To overcome these issues, in this paper, we propose service differentiation for achieving fairness in multi-traffic class in MANET. This proposed methodology includes three stages of solution. In the first stage, we assign priority through a well-defined structure. In the second stage, we use utility function to have more differentiation. In the last stage, we use piggy backing for data packet classification. As the proposed solution determines the priority based services, it becomes easy to assign a work with a good working scenario. A good differentiation is created among the user. The third part is able to solve data packet generation according to the space available.
Bandwidth Enhancement of Microstrip Antenna Using Partial Ground

Abstract— Microstrip antennas have become the favorite choice of antenna designers because of advantages such as low profile, light weight, easy fabrication and easy integration with circuits. Although microstrip antenna has several advantages, also it has several disadvantages such as low gain and narrow bandwidth. Intensive research is going on to develop bandwidth enhancement techniques by keeping its size small. This paper gives comparision of simple rectangular microstrip antenna and microsrip antenna with partial ground. One is the simple rectangular Microstrip antennas and another is, rectangular Microstrip antennas with modifying the ground plane is designed and simulated . This paper describes the design of Microstrip antenna resonate at frequency 2.4 GHz using coaxial feeding for high speed networks. The antenna is constructed on material with dielectric constant of 4.4. The advantages of Microstrip antennas have made them a perfect candidate for use in the wireless local area network (WLAN) applications. Though bound by certain disadvantages, Microstrip antennas can be tailored so they can be used in the new high-speed WLAN systems. This project concentrates on manufacture enhancement of bandwidth of Microstrip antennas for the 2.4 GHz ISM band. Finally, simulation is done using software HFSSv13. HFSS is employed to analyze the proposed antenna and simulated results on return loss, input impedance, 3D radiation pattern and VSWR plot is presented.
AUTOMATIC CLOUD SHADOW DETECTION FROM LANDSAT IMAGES

: Most remote sensing images are affected by cloud shadows in data acquisition processing, which cause serious problems for further analysis of data. Many researchers have offered effective methods to detect these cloud shadows from remote sensing images. Cloud shadows are created when presence of clouds obscure ground features from satellite imagery. The problem caused by cloud shadow is loss of information or occlusion. In this paper a novel automatic shadow detection method from Landsat images is proposed . The experiments are performed on Landsat images and results are obtained. The experimental result demonstrates that our methods can detect shadow regions better compared to traditional approaches.
FINITE ELEMENT ANALYSIS OF AUTOFRETTAGE PROCESS OF THICK – WALLED CYLINDERS

The process of producing residual stresses in a thick–walled cylinder before it is put into usage is called Autofrettage, which it means; a suitable large enough pressure to cause yielding within the wall, is applied to the inner surface of the cylinder and then removed. So that a compressive residual stresses are generated to a certain radial depth at the cylinder wall. The objective of the present study, is to investigate the effect of autofrettage process on radial, circumferential and total stresses by using von Mises yield criteria. Numerical simulation carried out on ABAQUS software to investigate the stresses distribution and calculate the autofrettage radius. The results reveal that, the autofrettage process of thick–wall cylinder lead to decrease the hoob and maximum von Mises stresses and relocate them from the inner surface of the cylinder to somewhere along it's thickness. The reduction in maximum stresses is strongly depend on autofrettage pressure, it was varying from ( 3.6% at Pautofrettage = 105 MPa to 19.2% at Pautofrettage = 130 MPa ) Also, it has been found , there is no effect of number of autofrettage stages on both of maximum von Mises stress and autofrettage radius.
Age-related development and histomorphological observations of bursa of Fabricius in sonali chicken

The aim of this research was to investigate the age related histomorphological and involutory changes of bursa of Fabricius of sonali chicken at different postnatal stages in Bangladesh. The present research was carried out on bursa of 25 healthy sonali chicken representing different stage of postnatal life; Day 1, Day 14, Day 28, Day 42 and Day 56. Sample (bursa) was collected after sacrificing the chickens by cervical subluxation method. Harris’s Haematoxylin and 1% Eosin Y stain was done to facilitate microscopic study. Grossly, the bursa was smooth, yellowish to milkish white in color. The average weight gain, length, width and thickness of bursa was developed parallel with age and found statistically significant (p<0.001). Age dependent changes were noticed in number of follicle per plicae, length and breadth of plicae, length and breadth of follicle, thickness of cortex and breadth of medulla of follicle, height of lining epithelium and thickness of tunica muscularis and found to be developing significantly (p<0.05) from Day 1 to Day 56. No involutory signs were found during study period. From the present study, it might be concluded that the growth and development of bursa of sonali chicken in Bangladesh was age related. The findings of this experiment would help to give an idea about the immune status of sonali chicken and provide a basis for further immunization research at different postnatal stages of development in sonali chicken.
A Survey on the Performance Analysis of FinFET SRAM Cells for Different Technologies

— This paper presents a survey on the performance analysis of FinFET SRAM Cells for different technologies. Industry requires high performance low power devices and memories. CMOS devices scaled down to reduce the size. As CMOS devices are scaled down the variation in the design metrics like SNM, Leakage power and delay increases. FinFET is an emerging technology in the VLSI design to overcome the drawbacks of CMOS. FinFET has become the most promising alternatives to conventional CMOS. In this paper, comparison of conventional CMOS, Independent-Gate (IG) and Tied Gate (TG) FinFET SRAM standard cells performance analysis is done with respect to leakage power, Static Noise Margin (SNM) and delay.
Available Online through Research Article

Can WiFi signs be utilized for detecting reason? The developing PHY layer abilities of WiFi has made it conceivable to reuse WiFi signals for both correspondence and detecting. Detecting by means of WiFi would empower remote detecting without wearable sensors, concurrent discernment and information transmission without additional correspondence foundation, and contactless detecting in protection saving mode. Because of the prevalence of WiFi gadgets and the universal arrangement of WiFi systems, WiFi-based detecting systems, if completely associated, would possibly rank as one of the world's biggest remote sensor systems. Yet the idea of remote and sensorless detecting is not the straightforward blend of WiFi and radar. It looks for leaps forward from committed radar frameworks, and means to adjust betweenminimal effort and high exactness, to take care of the rising demand for pervasive environment recognition in regular life. Notwithstanding expanding research interest, remote detecting is still in its earliest stages. Through presentations on essential standards and working models, we audit the feasibilities and restrictions of remote, sensorless, and contactless detecting by means of WiFi. We imagine this article as a brief introduction on remote detecting for intrigued perusers to investigate this open and to a great extent unexplored field and make cutting edge remote and portable registering applications.
INSTITUTIONAL IMPEDIMENTS TO INTERNATIONAL REMITTANCE: TRANSMISSION-COST ISSUES IN NIGERIA

This study investigates the institutional impediments of remittances with reference to the cost of transmission in Nigeria. The study is motivated by the increasing inflows of remittances through informal channels that would have been directed into the financial system to improve savings and enhance financial deepening if they were accounted for. The study therefore investigates whether the use of informal channels is caused by the increasing costs of collecting remittances that is partly induced by financial institutions. The study uses a bank exit survey data and a household survey data collected by the Center for Demographic and Allied Research (CDAR). T-test analysis and logit regressions were employed to achieve the objectives of the research. The findings show that there is no significant difference in the frequency of receipt for the formal and informal channels, transaction cost negatively and significantly determinants the use of formal channels flows, and finally there exist a significant difference between the transaction costs of using formal and informal channels of remittances. Financial institutions should therefore checkmate the charge of remittance receipt to encourage the use of formal channels and increase the frequency of flows.