Miracle-dz/UniFAR-FTUs huggingface dataset:
Feasibility, Risks, and Outcomes of Percutaneous Oblique Extraforaminal Lumbar Interbody Fusion Technique

Objective: To demonstrate the feasibility, risks and outcomes of percutaneous oblique extraforaminal lumbar interbody fusion (ELIF) technique. There is a growing interest in using less invasive and less exposure surgery techniques but very little has been written on an extraformainal approach for decompression and interbody fusion through Kambin’s Triangle with the advantage of sparing the facets and lamina plus dissection of the multifidus muscles. Methods: We reviewed the medical records of 10 consecutive patients undergoing an extraforaminal approach to the lumbar disc space for placement of a cannulated and bulleted interbody cage for fusion followed by percutaneous transfacet pedicle screw fixation. The postoperative outcome scores and complications were obtained at the final follow up encounter were used to determine clinical improvement. Results: Mean age was 47.5 years and BMI was 29.8 kg/m with males comprising 10% of the patient population. Three spinal levels were operated on including L3-L4, L4-L5, and L5-S1. Patients demonstrated improved VAS scores from a mean of 7.8 to 4, p= 0.001 and ODI decreased from 53% to 24.4 %, p= 0.02 at 24 months. Complications included three patients with postoperative neuropathy, one patient had a proud cage due to over packing of the disc space, and one patient had a nonunion and a subsequent revision. Conclusions: Results from this study show less than favorable overall outcome with 50% of patients experiencing neurological complications when using this extraforaminal approach. Operating on the L5-S1 level limits operating space and is not recommended for this approach.
A Review on “ Performance Analysis of PMSG in Wind Energy Conversion System ”

42 Abstract— The main object of this paper is to analyze performance and operation of PMSG connected with wind turbine under varying wind speed in place of DFIG. In this system a PMSG convert wind power into electrical power and transmit it to an AC grid through an AC-DC-AC converter. We are going to use a pitch angle control system to reduce output power variation in high rated wind speed areas. There are different types of generators are present but the multiple pole PMSG is chosen as its offers better performance since it does not have rotor current and can be used without a gearbox which also implies a reduction of weight of the nacelle and a reduction of the cost. Simulation of the work is carried out in MATLAB/Simulink.
Video Based Detection of Vehicle for Traffic Surveillance System Using Edge Detection

Intelligent transport system is an emerging area of research where researchers are looking for innovative ways of studying the traffic incidents for detecting the vehicles and having a detailed behavior analysis of the vehicles. For an intelligent transport system, vehicle detection would be the first step to be discussed. This paper brings out the various methods used for the vehicle detection. It also gives an overview on edge detection methodology, which is one of the methodologies used in vehicle detection .
METHODOLOGY OF RANKING FOR DISCOVERY AND SELECTION OPTIMIZED WEB SERVICE.

: Web service power in facing problems of unadoptable ability of independency systems, leads, and its significant role in developing commencing applications. Choosing an influential method for searching and selecting ideal services in the range of thousands a variable sample is a crucial act in service oriented computing. As a segment of web service system discovery, process of ranking enables the operators to select their ideal service more influential, many of existing attitudes, ignore the role of operator’s requirements, which in fact is an important factor in the ranking process. Also in interim of web services is a key process in developed web function, by using SOA (service oriented architecture). One of the main challenges in this category is finding a collection of suitable web services with higher speed. When so many of similar tactful services were discovered, it’s hard to decide which of them is more useful. Therefore, achieve meant of a proper&effective technical for evaluating the grade between recognized services based on costumer’s need and different features of QOS is a virtual&erucial act. In this essay we survey compares methods of web service ranking provided by researchers.
Role of Diffusion Weighted Imaging in Intracranial Tumors with Pathological Correlation

Introduction: Intracranial tumors can occur in all age groups and can be grossly divided into intra axial and extra axial tumors. In children, intracranial tumors are common in posterior fossa region. In adults these are more common in supra tentorial and intra axial regions. Aim and Objectives of the study were to test a hypothesis that ADC values can be used to differentiate tumor, edema and normal brain tissue, to compare and correlate ADC values of different components of tumor such as solid, necrotic, cystic component and perilesional oedema, normal brain parenchyma and to correlate the ADC values of tumor with the cellularity/histopathological grading of tumor/mass. Materials and Methods: A prospective studyof DWI in Intracranial tumors and correlation with pathological findings, was conducted on patient population, referred for MR imaging of brain to Department of Radiology, Osmania General Hospital, Hyderabad during period between 2011 to 2013. Results: Magnetic resonance imaging was performed in 63 patients with brain tumors in a 2 year period from December 2011 to September 2013. The patients had age group ranging from 2 months to 69 years with a mean age of 29 years. 29 were males, 23 were females. Most of the cases were in the first decade. The most common clinical presentation is intracranial hypertension (92.3%). Of 63 cases, most common tumor encountered in our study was Meningioma (11) Conclusion: Diffusion weighted imaging is useful in differentiating epidermoid from arachnoid cysts. ADC values from the solid components can be used to differentiating CPangle meninigiomas from schwannomas. However, the ADCvalues are not useful in differentiating “Tumour infiltrated edema” from Vasogenic Edema”. Keyword: Intracranial Tumors, DWI, ADC Values, Meningioma, Schwnnomas, Perilesional edema, Vasogenis edema.
A Survey on Choosing the Right IOT Technology Platform

— This paper addresses the internet of things and various technologies associated with IOT as identification of technology which is best suited for the application is vital to the success and continued usage of IOT enabled devices. The number of estimated devices connected with IOT is enormously increasing the recent advancements in deploying this technology in various fields which has produced excellent results and which further provides scope for innovation are discussed. The challenges encountered during the integration of technologies, network and devices which need to be addressed for proper functioning of the framework are discussed. A review on different types of platforms and the service they provide and specifically the open source platforms available for development of IOT, as choosing an open source platform aids in standardization of technology and indirectly supports the interoperability challenge and the different parameters which assist the developer which have to be considered while choosing the right platform for development of IOT enabled solutions.
EVSBE: Extended Visual State Binary Embedding Model for Efficient, Scalable and Fast Video Event Retrieval

:- With the exponential increase of media data on the web, fast media retrieval is becoming a significant research topic in multimedia content analysis, analysis of video content has gained growing research interest in domain of computer vision and multimedia. In video content analysis, retrieval of event in unconstrained scenarios vital research problem because of large scale unstructured visual information from the video descriptions. There are number of methods and models designed for video event retrieval, but suffered from the various limitations such as scalability, processing speed and efficiency. In this paper, the designing an efficient, scalable and fast model for video event retrieval by considering visual approach, semantic approach and relevance feedback approach. VSBE model is designing in order to encode the video frames which are containing the important semantic data in binary matrices. This helps to achieve the fast event retrieval under unconstrained scenarios. The approach needs limited key frames from the training event videos for the functioning of hash training so that complexity of computation will be less during training process. Additionally, VSBE model applying the pairwise constraints those are generated from the visual states for stretching the events local properties as semantic level in order ensure the accuracy. In second contribution, is extending the VSBE model called Extended VSBE (EVSBE) in order address the problem of end user satisfaction and out of event videos by using algorithm of log based relevance feedback. The performance will be evaluated in terms of precision, recall, accuracy and training time.
HERBOSOMES – HERBAL MEDICINAL SYSTEM FOR THE MANAGEMENT OF PERIODONTAL DISEASE

The effectiveness of any herbal medication is dependent on the delivery of effective level of the therapeutically active compounds. Herbosomes are recently introduced herbal formulations that are better absorbed and as a result produce better bioavailability and actions than the conventional botanical extracts. Herbal excipients are non-toxic and compatible they have a major role to play in pharmaceutical formulation. Herbal medicines have been widely used all over the world since ancient times and have been recognized by physicians and patients for their better therapeutic value as they have fewer adverse effects as compared to modern medicines. However, phytotherapeutics needs a scientific approach to deliver the components in a sustained manner to increase patient’s compliance and avoid repeated administration. This can be achieved by designing novel drug delivery systems for herbal constituents. Over the last decade, herbal and Ayurvedic drugs has become a subject of world importance, with both medicinal and economical implications. There are number of traditional herbal remedies for the treatment and management of diseases related to teeth, gum and oral hygiene. The aim of the present study is to present overall view of the current strategies adopted for the formulation and application of traditional herbal remedies. This review article summarizes the current data on the effect of natural products like Acacia catechu, Aloe vera, Chamomile, Azadirachata indica, and Glycyrriza glabra on management of various periodontal diseases together with their biological activities.
Leaf Recognition based on Neural Network Feed-Forward and Support Vector Machine Classifiers

— Leaf recognition is very important in plant classification and its key subject to distinguish different kinds of leaves. In this paper, A computer aided leaf recognition system is suggested. The main steps involved in this work are image preprocessing, edge detection, feature extraction and the classification. Preprocessing step consists of four sub-steps; color converting, thresholding, binary operations, and filtering (segmentation). Edge detection is strongly needed for locating features. Whereas, feature extraction depends on three types of features; shape, and texture. Finally, two approached of classifiers are used; Neural Network feed-forward and Support Vector Machine. The experimental results are applied to two different datasets. According to the results, the classifiers succeeds in getting accuracy of 91%. The results are acceptable.
A PROFICIENT RECOGNITION METHOD FOR ML-AHB BUS MATRIX

— Bus matrix with multilayer projected by ARM is a highly efficient on-chip bus that allows the parallel access between multiple masters and slaves. The proposed ML-AHB bus matrix utilizes the use of slave-side arbitration. The ML-AHB bus matrixes of ARM suggest only transfer based fixed priority and round robin arbitration method. In this paper, we intend the design and completion of a flexible arbiter for the ML-AHB bus matrix to sustain three priority policies, fixed priority, round robin, and dynamic priority method. The projected arbiter, who is self-annoyed, selects the possible arbitration method based upon the priority-level notice and the necessary transfer length from masters so that the arbitration leads to maximum on the whole performance. The projected arbiter reduces area overhead and increases the throughput rate by making comparison with other schemes.
A Review on Parallel LDPC Decoder Architecture

: Low Density Parity Check (LDPC) codes offer excellent error correcting performance and is being widely considered in next generation industry standards. The main challenge with implementing Parallel Decoder Architecture for LDPC codes is the interconnection of the functional units at the top level. For applications that require high throughput and low power dissipation and tolerate a fixed code format and large area, the Parallel Architecture is very suitable. The proposed Parallel Decoder Architecture supports a maximum Throughput with improved Bit Error Performance and provides Girth Optimization with simple interconnection.
Estimation of Economic Growth using Export and Import Goods in Nigeria: A Kernel Regression Approach

This study employed the Kernel regression approach for reliable estimation of economic growth in Nigeria from 1989 to 2018 using the Kernel regression Approach. The study employed secondary source of data collection which was obtained from African Development Bank Group publication, 2018. The result of the kernel regression analysis found a residual standard error value of 37.399, R-square value of 0.8645 (86.5%), bandwidths of 8.316 and 5.071 for export and import goods respectively and a corresponding p-value of 0.00. Findings showed that export goods and import goods significantly impact positively on Economic Growth.
DESIGN AND IMPLEMENTATION OF AN OPTIMIZED J-BAND MICRO- STRIP SYMMETRIC COUPLED LINE BAND PASS FILTEr

Sept. -Oct. DESIGN AND IMPLEMENTATION OF AN OPTIMIZED J-BAND MICROSTRIP SYMMETRIC COUPLED LINE BAND PASS FILTEr F.G. Awan, N.A. Sheikh Dept. of Electrical Engineering, University of Engineering and Technology Lahore fawan@uet.edu. pk, sheikh151@yahoo.com ABSTRACT─ In this paper J -band Symmetric Coupled Line Band pass Filter has been designed and implemented using microstrip transmission line topology. Initially the filter is developed by using the appropriate design equations for the exact physical dimensions of the filter. The resulting structure is simulated using features of Advanced Design System (ADS). Due to manufacturing constraints, first and last resonator spacing of the above filter are adjusted to the minimum value that can be physically implemented. Accordingly other physical dimensions of the resonators, including length and width, are also optimized to get the desired response. This optimized filter is then manufactured and its insertion loss is measured using Network Analyzer. Finally the simulated results for the proposed filter and the measured results for the implemented filter generated by Network Analyzer are compared.
A clinical study of patients with renal cell carcinoma

Background: In 1894 Lubarch endorsed the idea of these being a suprarenal original tumour, and the term “hypernephroid tumors” indicating origin above the kidney was advocated by Birch-Hirschfeld. It was this semantic and conceptual mistake that led to the introduction of the term “hypernephroma”, which predominates in the literature describing parenchymal tumours of the primary renal origin. The objective was to study the surgical profile, treatment modalities for patients with renal cell carcinoma. Methods: Present study was retrospective as well as prospective study and was carried out in the Department of Surgery, Government Medical College and Hospital; Auragnabad for a period of one year Retrospective study was done from the record in Radiotherapy Department of this college. Prospective study was done with the number of cases of kidney tumors admitted during the study period. Total number of cases studied were 44, out of these, 26 was studied retrospectively and 18 cases prospectively. Patients who were absconded after admission are also included. Results: The youngest patient of renal cell carcinoma was found to be of 35 years, and oldest of 70 years old. The maximum incidence was found in 5th and 6th decade of life. In this treatise, maximum numbers of cases were presented with lump in abdomen (78.27%), and classic triad of pain, lump and hematuria was only in 4 cases (17.40%). Maximum numbers of patients were in stage III and IV. Anemia was found only in 6 cases (26.10%) and raised E.S. R. in 2 cases (08.70%). Not a single patient showed hypercalcemia or erythrocytosis. Most commony used treatment modality in our patients was Nephrectomy + RT + CT + HT in 9 cases (39.13%). Conclusions: Commonest etiological factor for renal cell carcinoma is smoking (30.50% of the cases). Maximum cases of renal cell carcinoma were presented with lump in abdomen and classic triad was found in only 17.4% of cases (i.e. pain, hematuria and lump). Maximum cases of renal cell carcinoma were found to be in stage III and IV. Majority of the renal cell carcinomas were treated with nephrectomy, postoperative radiotherapy, chemotherapy and hormonal therapy in combination.
Cued Click Points Graphical Images with Binary Based OTP Authentication

: In Cued Click Points Graphical Images with binary based OTP Authentication, user clicks on sequence of five images. At the time of login phase images appear as per the random sequence. In the registration phase, user selects 5 images from the image pool or local drives. Based on the image selection server generate the signature during registration. While users coming to login phase, they enter username and then binary OTP number is send to user mobile or email id. If binary number is 1 user have to select correct position on the image and if binary number is 0 then they have to click on wrong position. Otherwise the user is aborted. Signature values of all five clickable images will be used for calculating binary OTP. This proposed system provides two-way authentication and also provides higher security than other techniques.
A Novel Approach to Privacy Preserving Data Publishing

-the anonymization techniques, such as generalization and bucketization are used for privacy preserving micro data publishing. Here the Generalization loses considerable amount of information, especially for multi dimensional data and the Bucketization method, does not prevent membership disclosure and does not apply for data that do not have a clear separation between quasi-identifying attributes and sensitive attributes. A novel technique called slicing has been proposed, which partitions the data both horizontally and vertically. Slicing preserves better data usage than generalization and also can be used for membership disclosure protection. The important advantage of slicing is that it can handle high-dimensional data. Hence slicing can be used for attribute disclosure protection and develop an efficient algorithm for computing the sliced data that obey the l-diversity requirement. Slicing preserves better data usage than generalization and is more effective than bucketization when dealing with the sensitive attribute. The basic idea of slicing is to break the linking the cross columns, and to preserve the linking within each column. It reduces the organizing of the data and preserves better utility than generalization and bucketization.
Attendance Monitoring System using Face Recognition

- Authentication is a significant issue in system control in computer based communication. Human face recognition is an important branch of biometric verification and has been widely used in many applications, such as video monitor system, human-computer interaction, and door control system and network security. This paper describes a method for Student’s Attendance System which will integrate with the face recognition technology using Personal Component Analysis (PCA) algorithm. The attendance will be marked based on facial recognition of the person. A group image of the class will be captured and detected faces are segmented from the captured image. The segmented faces are then compared with a predefined database of all the students of the class. A message will be sent to absentees through SMS using a GSM module. The system will record the attendance of the students in class room environment automatically and it will provide the facilities to the faculty to access the information of the students easily by maintaining a log for clock-in and clock-out
TIME SERIES CLASSIFICATION IN DATA MINING & CLUSTERING: A REVIEW

various works in classification and clustering are done in recent times, we survey as an indication In this paper we analyze the basics of time series mining, how time series mining is classified and general design data mining algorithms commonly used in time series data mining, and also explanation on the time series clustering algorithms. And also give the information of cluster based information.
Enhancing Security in Service Oriented Architecture driven EAI using Aspect Oriented Programming in healthcare IT

— Information security and privacy in healthcare IT have been a longstanding challenge in recent years. Technologies like data mining, private database, Role based access control, encryption etc. attain the goal at some extent but don’t provide a solution to resolve every aspect. Considering the extremely sensitive nature of medical records, in any attempt to transmit the data over the network; we need to make sure that any third party cryptanalyst can’t be able to access, modify or even understand the encrypted document sent over the network. This growing privacy and security needs in electronic-health records is the motivation for our approach. In this paper, we propose an approach for integration and exchange of medical records over the network in a service oriented driven framework using HL7 standard that provides an end-to-end security.
Efficient Task Scheduling for Mobile Cloud Computing Environment to Increase the Performance of Mobile Devices

-Battery driven figuring gadgets, for example, advanced cells, Tablets and so forth. , have exceptionally restricted preparing and power assets. So effective use of this assets is essential to expand the general effectiveness. Additionally running top of the line assignments and overwhelming programming is not yet conceivable in this gadgets because of is restricted asset accessibility. Versatile Cloud Computing is a method for utilizing the cloud server for doing some top of the line assignment utilizing cell phones. Versatile distributed computing (MCC) offers noteworthy open doors in execution improvement and vitality putting something aside for portable, battery-fueled gadgets. Additionally it is essential to plan the undertaking between the portable and cloud, when and what is to send to cloud in order to get great general productivity. This work researches the issue of planning assignments (which have a place with the same or perhaps diverse applications) in the MCC environment. All the more definitely, the booking issue includes the accompanying steps: (i) deciding the undertakings to be offloaded onto the cloud, (ii) mapping the remaining errands onto (possibly heterogeneous) nearby centers in the cell phone, (iii) deciding the frequencies for executing neighborhood assignments, and (iv) planning assignments on the centers (for in-house assignments) and the remote correspondence channels (for offloaded errands) such that the assignment priority necessities and the application fruition time limitation are fulfilled while the aggregate vitality dispersal in the cell phone is minimized.