Miracle-dz/UniFAR-FTUs huggingface dataset:
To Investigate the Morphologic Alterations in and Around the Optic Disc by Optical Coherence Tomography (OCT) in Eyes with Different Degree of Myopia

Objective: To investigate the morphologic alterations in and around the optic disc by optical coherence tomography (OCT) in eyes with different degree of myopia. Methods: This prospective study included 110 myopic subjects for evaluation of Peripapillary Retinal Nerve Fiber Layer (pRNFL) pattern in myopia. Results: In our study we observed that in SE Group 1 (-3D to -6D), the average pRNFL thickness, Mean disc area and mean CD Ratio was 87.67 μm, 1.850±0.36, 0.46±0.09 while in SE Group 2 (> -6D to -10D) it was 82.56 μm, 1.89±0.23, 0.49±0.06 and in SE Group 3 (> -10D) the thickness was found to be 67.75 μm, 2.54±0.24, 0.49±0.05 respectively. This decrease in pRNFL thickness is highly statistically significant (p < 0.001) in different groups. Similar results were seen with Al Group 1,2 and 3. Conclusion: Average pRNFL thickness clearly exhibited a decreasing pattern as spherical equivalent and Axial length increases while it is not followed in all quadrants. The average disc area increases however CD ratio remains unchanged as spherical equivalent increases.
A Detail Survey on Predicting Stock Price Movement based on Communication Network

Stock price prediction is a popular topic in financial studies. Stock market is basically nonlinear in nature and predicting share price is very difficult because there are no specific set of rules to estimate the price of the share in share market. Many methods are used to predict the share price like statistical analysis, time series analysis but none of these methods are considered to be consistently acceptable prediction methods and applying traditional methods may not ensure the accuracy of prediction. Various machine learning algorithms have been used to study the highly unpredictable nature of stock market by capturing repetitive patterns. Various companies have their preferred analysis tool for stock market forecasting and the reason for preference is the accuracy with which they predict. This paper gives brief survey of well-known prediction techniques used for prediction of stock in the stock market. General Terms Stock market pattern recognition, Stock market prediction algorithm
Big Data Sentiment Analysis based on PLSA and its Application

: Posting reviews online has become an increasingly popular way for people to express opinions and sentiments toward products bought or services received. Analyzing the large volume of online reviews available would produce useful actionable knowledge that could be of economic value to vendors and other interested parties. This study conducted a case study in the movie domain, and tackles the problem of mining reviews for predicting product sales performance. Based on an analysis of the complex nature of sentiments, this paper studies Sentiment PLSA (S-PLSA), in which a blog entry is viewed as a document generated by a number of hidden sentiment factors. Training an S-PLSA model on the blog data enables us to obtain a succinct summary of the sentiment information embedded in the blogs. The study then presents SAAR, a sentiment-aware autoregressive model, to utilize the sentiment information captured by S-PLSA for predicting product sales performance. Extensive experiments were conducted on a movie data set. In this study SAAR is compared with alternative models that do not take sentiment information into account; as well as a model with different feature selection methods. Experiments confirm the effectiveness and superiority of the approach studied.
RP-HPLC METHOD DEVELOPMENT AND VALIDATION OF STABILITY INDICATING METHOD A FOR ESTIMATION OF LOSARTAN POTASSIUM UNDER STRESS CONDITION AND TABLET DOSAGE FORM

Losartan potassium, a highly effective blood pressure lowering agent, has widely used for treatment of hypertension. Simple, economic, selective, and precise and stability indicating HPLC method has been developed and validated for analysis of losartan potassium in bulk drug and formulation dosage form. In order to optimize more one response at time, the chemo metric approach which includes 2 3 factorial design at two level with three factors was set up to standardize the chromatographic condition. The mobile phase was 40:60 ACN: Buffer consist of 0.05% of orthophosphoric acid and 0.05% Triethylamine at flow rate 1.0ml/minute the eluent was monitored at 225nm. The calibration plots constructed using the concentration of 6.4 to 9. 6μg/ml (80 -120%) with r 2 =0.999, recovery =99.44% was indicative of accuracy of proposed method. The precision was calculated as repeatability, intraday (RSD) for the drug. INTRODUCTION: Losartan potassium is chemically: 2-butyl-4-chloro-1-[[2’-(1H-tetrazol-5yl) [1, 1’-biphenyl]-4-yl] methyl]-1H-imidazole-5methanol monopotassium salt. Losartan is a phenyl tetrazole substituted imidazole compound which acts as a selective, angiotensin II receptor type I antagonist and is employed in the management of essential hypertension 1 . Method validation study include system suitability, linearity, precision, accuracy, specificity, robustness, limit of detection, limit of quantification and stability of sample, reagents, instruments. QUICK RESPONSE CODE DOI: 10.13040/IJPSR.0975-8232.7(6). 2343-51 Article can be accessed online on: www.ijpsr. com DOI link: http://dx.doi. org/10.13040/IJPSR.0975-8232.7 (6). 2343-51 The aim of this investigation was to establishing a new simple and sensitive method that could be used in analysis degradation products of Losartan potassium. FIG.1: LOSARTAN POTASSIUM
A LIGHTWEIGHT PRIVACY AND INTEGRITY PRESERVING DATA COMMUNICATION IN SMART GRID

: Smart Grid facilitates real-time communication network between the user and the grid company by smart terminals, which utilizes bidirectional data transmission and information control. In Smart Grid, the smart meters play important role by measuring the amount of electricity consumption and sending various information to the power generators and substations. The communication of such information raises privacy concerns from the users about their private information leakage. Therefore, Confidentiality and integrity of smart meter readings are important as altering such data can lead to incorrect billing and false energy usage approximations. In order to insure the security of communication in Smart Grid, we propose the use of ID-based signcryption scheme using bilinear pairing and time factor. It satisfies the requirements for secure communication. It is also efficient, which makes it suitable for low power, low storage sensors in home appliances devices.
An Integrated Approach for Image Inpainting Based On Saliency Detection

: Salient object detection has been a rather hot research topic recently, due to its potential applications in image compression, scene classification, image registration and so forth. The overwhelming majority of existing computational models are designed based on computer vision techniques by using lots of image cues and priors. A set of novel features including multi-scale contrast, center surround histogram and color spatial distribution to describe a salient object locally, regionally and globally is proposed. In the proposed method an integration approach is used to detect salient region based on three principles which include color contrast in a global context, spatially compact color distributionand multi-scale image abstraction. Based on the mentioned principles, region saliency analysis approach can be formulated in a unified framework. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image when compared with pixel level saliency method. Further exemplar based inpainting method is used to fill the missing information in the detected salient region. The PSNR for both region level and pixel level saliency were compared and region level saliency found to produce a better result
Web Image Re-ranking Using Visual Semantic Meaning of Images

: Web image search engine is a tool using that large number of images are search. With present search engine for given query keyword multiple images are retrieved based on textual information and after selecting query image remaining images are re-ranked based on visual similarities of query images. These visual similarities of images do not well correlate with query image semantic meaning. This is a main problem in visual semantic web based search engine. In this paper we propose novel image re-ranking framework using that image visual and semantic meaning are automatically learned and then visual features of images are projected into their semantic meaning to get visual semantic signatures. Using online step search images are re-ranked by comparing their visual semantic signatures which obtained from query image semantic meaning. Our propose framework significantly improve accuracy and efficiency of image re-ranking. Visual semantic signatures can be comparatively shorter than original visual feature of image on average.
REPLACEMENT VALUE OF COCOA POD HUSK WITH SOURSOP PULP MEALS FOR NAPIER GRASS IN THE PRACTICAL DIET OF WEST AFRICAN DWARF SHEEP

The study was conducted to assess the replacement value of cocoa pod husk with soursop pulp meals for napier grass using growth, in vitro gas production characteristics, and nutrient digestibility by West African sheep. Twenty-one (21) growing West African dwarf sheep with an average body weight of 7.00 ± 0.55 were randomly assigned to three (3) dietary treatments with seven (7) animals per treatment in a completely randomized design. The compared dietary treatments were T1 (70% napier grass and 30% concentrate diet which served as the control group), T2 (45% cocoa pod husk with 25% soursop pulp and 30% concentrate diet) and T3 (50% cocoa pod husk with 20% soursop pulp and 30% concentrate diet). The results showed that total feed intake (18.63kg), average daily feed intake (221.79g), feed conversion ratio (8.66), gas production from the insoluble but degradable fraction (42.49ml), potential gas production (44.00ml), methane (8.01ml), metabolisable energy (8.42MJ/kg/DM), organic matter degradability (37.72%) and ether extract digestibility (70%) were significantly (P<0.05) highest in sheep on T1 than T2 and T3. Nitrogen free extract digestibility (75.38%) was significantly (P<0.05) better in sheep on T2 compared with T1 and T3. Final body weight (11.02kg), total body weight (3.66kg), average daily weight gain (43.57g), dry matter digestibility (71.99%), crude protein digestibility (78.93%), crude fibre digestibility (66.89%) and ash digestibility (70.72%) were significantly (P<0.05) highest in T3 than T2 and T1. There were no significant (P>0.05) difference in initial body weight; gas produced from the soluble fraction, gas production rate constant for the insoluble fraction and short chain fatty acids. It is concluded that 50% cocoa pod husk with 20% soursop pulp has the potential to replace 70% napier grass in the practical diet of West African dwarf sheep.
CROSS LINKED HIGH AMYLOSE STARCH BIODEGRADABLE IMPLANTS FOR SUSTAINED DELIVERY OF CIPROFLOXACIN HYDROCHLORIDE

Objective: The main objective of present study is to formulate Ciprofloxacin implants in treatment of Osteomyelitis & other bone infections using Crosslinked high amylose starch matrices as a carrier. Methods: The High amylose starch (corn starch) is one of the most commonly used excipients in the pharmaceutical industry due to its biodegradability and binding properties. A number of sources of starch are commercially available, with corn starch being the most common. The High amylose starch forms uniform, stable crosslinks with different crosslinking agents which is a major advantage of corn starch over other simple starches. The High amylose starch has reactive hydroxyl groups that can be modified chemically for various biomedical and pharmaceutical applications. Different formulations were developed by varying drug to polymer ratio. Preparation crosslinked high amylose starch based implants was carried out by direct compression technique. The effects of crosslinking agent on water uptake, erosion, drug release rate, release kinetics and drug loading were investigated in this study. Result: The release from all developed formulations is based on water uptake& the optimized CS3 implant formulation shows a slow zero order kinetics of drug release. The prolonged drug release was observed with higher drug loading. Conclusion: Therefore from this study it is proved that, the crosslinked starch implant has potential to retard the drug release for more than five weeks in the treatment of osteomyelitis & bone infections.
Efficient MIMO-OFDM Based Space-Time-Frequency Coding

: We consider the limit of Multiple-Input–Multiple-Output [MIMO] frameworks that utilization OFDM as the adjustment arrange. We call attention to a fundamental comparability amongst receiving wires and OFDM-tones. This comparability instantly enables us to basically reuse all space-time-frequency codes intended for level blurring directs in MIMO-OFDM frameworks working in recurrence particular channels. An ideal code would therefore code over all receiving wires and tones [as well as time] at the same time. Since this can turn out to be extremely perplexing, we propose a technique for gathering receiving wires and codes such that the natural differing qualities is held, while the many-sided quality is enormously lessened. Limit calculations between the full-intricacy and the diminished many-sided quality frameworks outline this exchange off.
FORMULATION, STABILITY TEST AND IN VITRO PENETRATION STUDY OF TRANSETHOSOMAL GEL CONTAINING GREEN TEA (CAMELLIA SINENSIS L. KUNTZE) LEAVES EXTRACT

Objective: The aim of this study was to increase penetration of epigallocatechin gallate (EGCG) from the extract using transethosomal gel. Methods: Transethosomes (TE) formulae were made using thin layer hydration method with different concentration of green tea extract which was equivalent to 1% (F1), 1.5% (F2), and 2% (F3) of EGCG. F1 was the chosen formula to be incorporated into a gel as a transethosomal gel (TEG). A gel containing green tea extract was also made as a control called as non-transethosomal gel (NTEG). A stability test and in vitro penetration study of gels using Franz diffusion cell were performed. Results: F1 was the chosen formula because it had a spherical shape, a particle size of 112.14±2.19 nm, PDI of 0.166±0.03, a zeta potential of52.05±1.34 mV, and %EE of 58.06±0.08%. Stability test results showed that TEG more stable than NTEG. The amount of EGCG penetrated from TEG and NTEG were 1391.16±34.89 μg/cm2 and 485.29±14.49 μg/cm2, respectively (p<0.05). The lag time for TEG was around 0.99±0.2 h, while NTEG was 8.69±0.2 h (p<0.05). Conclusion: It can be concluded that transethosomes can improve gel stability and increase the amount of EGCG penetrated through the skin.
Analysis Of Photo Response Non –Uniformity Noise On Images Of Different Lighting Conditions

— Photo Response Non-Uniformity (PRNU) Noise introduced by the sensors in the digital capturing device is widely used in the field of Image Forensics. This sensor pattern noise proved to give reliable evidences in Source Camera Identification and Image Forgery Detection. But the accuracy of identification rates of PRNU based techniques depends on the lighting conditions in which the particular camera device captures digital images for calculating their reference PRNU and also the lighting condition of the image under investigation. This paper tests the PRNU content of images of same scene under different lighting conditions in terms of correlation values of the extracted PRNU‟s from the images and the reference PRNU of the images under different illuminations.
Complexity as an Antecedent for External Collaboration in New Product Development Projects

This study examines how project complexity in low technology-intensive small- and medium-sized enterprises (SMEs) contribute in implementation of open innovation practices, during their new product development projects. The main focus of this paper is to investigate the critical role of complexity in the project level to identifying the compatibility of those external sources involved in NPD. The low technology-intensive sector in Spain were chosen as a target context, there were many innovative SMEs operating in these industries and because these sectors were going through significant changes. Four external knowledge sources, Universities, suppliers, customers and competitors and four open innovation practices, Community, Platform, Partnership and seller-buyer agreement, in the new product development were identified. The study shows that in SMEs, project complexity plays an important role in selecting the external source and implementation of open innovation practices. The main conclusion of the study is that the external collaboration in new product development projects is determined by different dimensions of project complexities and in projects with different type of complexity, the SMEs follow different external knowledge sources and open innovation practices. The study results imply that SMEs benefit from opening up their innovation process in the new product development projects. The firms in this study employed a blend of strategies that is more compatible with dimensions of project complexity. They collaborated actively with different external knowledge source and different modes of collaboration, when they have determination of different dimensions of project complexity. Also, the study extends understanding of the strategic use of open innovation in SMEs by demonstrating how SMEs balance the risk of project complexity built on new product development and the benefit of creating a wider capability base with partnerships.
Problems of scientific validation of group analytic psychotherapy

The aim of psychotherapy – individual or group psychotherapy – is to bring about change in painful feelings, distorted perceptions of self and others, dysfunctional behavior, etc. While there are many systematic studies of short term individual and group psychotherapy, researches of long term psychotherapy such group analytic psychotherapy is, hardly exist. The practice of group psychotherapy has resulted in rich, but descriptive clinical studies. As more studies accumulated, reviewers became more concerned with evaluation of therapy outcome. As the efficiency of different group approaches was established, questions about what was effective in the group process, and how treatments could be improved, gradually emerged. Problems of researches in group psychotherapy in general, and specifically in group analytic psychotherapy can be reviewed as methodology problems at first, validity and reliability problems, as well as problems of outcome (efficiency) and problems of the research of group process.
THE ROLE OF SERVICE QUALITY AND INSTITUTIONAL IMAGE IN ESTABLISHING RELATIONAL COMMITMENT BETWEEN PRIVATE UNIVERSITIES AND THE STUDENT

For service organization, relational commitment and outcomes have been essential for long-term relational successful. This study is purposed to identify the impact of institutional image, service quality, students’ trust on the students’ relational commitment in private higher education institutions in Central Java, Indonesia. To examine the relationship of trust on relational commitment, some relevant variables of service quality and institutional image were studied along with the central role of mediating variable of trust. By using a two-step approach, Structural Equation Modeling (SEM) was used to test the proposed model. The sample used in this study is 500 respondents. It was taken by applying proportional random sampling. There are several findings from this study. There is a significant and positive influence between service quality and students’ trust. There is a significant and positive influence between institutional image and students’ trust. The result also shows that there is a significant and positive influence between service quality and students’ relational commitment. There is a significant and positive influence between institutional image and students’ relational commitment. Finally, there is also a significant and positive influence between students’ trust towards students’ relational commitment. In the last part, managerial implications were widely discussed.
ANALYTICAL DESIGN AND SIMULATION OF A STATCOM FOR COMPENSATING OF REACTIVE POWER CONNECTED TO NON- LINEAR LOADS IN POWER SYSTEMS

The majority of reactive power is produced by the Reactive Loads in distribution system and transmission system. To increase the reactive power in distribution system, it generates low Power Factor Currents at the Reactive loads. Therefore, STATCOM helps to control the Reactive Power and eliminates the Total Harmonic Distortion drawn from linear loads and Non-Linear Loads. This paper presence the 5-Level CMC-STATCOM with a modular structure, and it has main applications in both transmission system and distribution system. The Application point of view STATCOM has many advantages as compared with the other kinds of FACTS family. The mathematical model of main topology, the States Feedback Decoupled Reactive Power Control Strategy is based on the p-q co-ordinate system, together with the generating PWM Modulation Waveform of Carrier Phase Shift PWM and Carrier Level Shifted PWM modulation method in CMCSTATCOM. To give the stable operation of the system Dc bus voltage is a key factor. To achieve a DC bus voltage overall control and individual control of each cascaded module applying closed loop P-I control method is used. Finally, the simulation results of 11KV, 1-MVA 5-Level CMC STATCOM verify the correctness and effectiveness of the control strategy and modulation method in this paper using MATLAB/SIMULINK Software.
International Journal of Soft Computing and Engineering

The detection of brain strokes from Computed Tomography CT images needs convenient processing techniques starting from image enhancement to qualify the brain image by isolation process, region growing and logical operators (OR and AND). These methods with the help of the simplest segmentation process, which is the thresholding process, are used to extract a stroke region from the CT image of the brain. The median filter is applied to remove the noise from the image. The statistical features calculated using first-order histogram were utilized in the detection of the stroke region.
Application of CNTFET as Logic Gates and its implementation using HSPICE

: The steady reduction in the dimension of transistors, according to Moore's law has been the main force behind the regular leaps in the level of performance of the silicon ICs. Due to the effects like the short channel effects, tunnelling effect, additional heat dissipation, interconnect problems etc problems arise. So it is not possible to reduce the size further. Hence now it is necessary to adopt new material or technology. Carbon Nano Tube Field Effect Transistors (CNTFETs) are being widely studied as possible successors to silicon MOSFETs. This paper focuses on simulation of CNTFET based digital circuits using HSPICE and parameters like delay, power and PDP are calculated.
Subjective Variables have no Impact on Subjective Well-being of Polices

The purpose of the present study was to see whether subjectiv e var ables have any impact on subjective well-being of police population. Six subjective variables were measure d such as job position (job rank), marital status, selfreported socioeconomic status, educational qualification, car eer interest, and staying with family were included in the study. Among these variables job position and educatio nal qualification varied in 4 ways and other four variables varied in 2 ways. The multivariate and univariate test res ults indicate that the main effects of each of these v ariables, and their interaction effects were all non-significant. Thus subjective variables are not important determinants o f subjective well-being of polices.