Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Multiple Antenna System using OFDM in term of SNR and BER

— Multiple Input and Multiple Output communication system(MIMO) architecture is the current trends in the wireless communication technology. Unlike the single input single output system(SISO), MIMO has advantage of providing higher capacity, bit rate and reliability. Spatial diversity, spatial multiplexing and beam forming are the three different classes of the MIMO system architecture. This paper present a analysis carried out for OFDM based wireless communication architecture using space time block code (STBC) at the transmitter side. Analysis is carried out to see the effect of delay spread and fading. An expression is designed and developed for computing the bit error rate with STBC and timing error. Signal to noise ratio calculation is also carried out.
A SURVEY ON TEXT SUMMARIZATION USING OPTIMIZATION ALGORITHM

Text Summarization is one of the fastest growing research areas because of availability of huge amount of information in an electronic form. Text summarization is the process of condensing a large amount of information in one or more documents into a concise form of summary which contain informative textual units that are relevant to the user. To generate effective summary and organization of information, optimization algorithms such as particle swarm optimization, artificial bee colony algorithms, genetic algorithms and ant colony optimization are used. These optimization algorithms can be applied in both single document summarization and multiple documents summarization. In this paper, a survey on text summarization using optimization algorithms has been presented.
Kitchen to Clinic: Garlic as a Cancer Fighting Spice

Nature has given us remarkable opportunity to fight against diseases. Garlic has played an important dietary and medicinal agent throughout the history of mankind [1]. Garlic, Allium sativum is a member of the Alliaceae family has been widely recognized as a valuable spice and a popular remedy for various ailments and physiological disorders [1]. Allium is the most crucial representative genus of the Alliaceae group and comprises of 450 different species. These are randomly distributed in the northern hemisphere [2]. These species are characterized by a specific flavor and therefore, they are used for cooking so that human likes the taste of the food [3]. Many scientists have investigated garlic as a medicinally important spice. These studies have uncovered a number of results. Because of the research conducted on garlic and the components present in it, chemoprevention has attracted many chemists and biologists. In this article, we describe in brief the chemistry, structure, anticancer activity and mechanism of action of garlic as a whole instead of focusing on the individual molecules or diseases. A number of unsaturated sulfur compounds have been identified from garlic. The sulfur-sulfur bond of these molecules has significant effects on the anticancer properties of garlic.
The Relationship between Thrombolytic Therapy and Hemorrhagic Transformation in Patients with Acute Anterior Circulation Stroke Treated with Mechanical Thrombectomy

Endovascular therapy has been shown to be effective and safe in acute ischemic stroke (AIS) due to large vessel occlusions. Mechanical thrombectomy is a commonly preferred treatment modality in large vessel occlusions, which is often applied endovascularly by using stent retrievers. In accordance with the principles of acute stroke treatment, intravenous (IV) recombinant tissue-type plasminogen activator (rtPA) thrombolysis should be applied for every eligible patient and this treatment step should never be skipped in patients who are thought to be referred to endovascular treatment (EVT). This recommendation is emphasized as class I and level of evidence A in the latest American Heart Association guideline [1]. Accordingly, IV r-tPA should be started within 4.5 hours for suitable patients and EVT should be performed within six hours after the onset of symptoms [2]. Intra-arterial (IA) r-tPA thrombolysis applied during EVT has been also proven to
Optimizing Dependencies - A solution to Failure Proneness of software

With the emerging technologies, large complex software isbeing built in terms of modules. Although the term ‘module’ is introduced to reduce the complexity in maintenance, but the dependencies among the modules is causing erroneous systems in existence.There is a need to architect/developer to look at these dependencies to be optimized. Predicting the dependencies is only possible by measuring the metrics of the system. Here in this paper we specify the different types of dependencies and notation of identified dependencies. A clear definition of these metrics is also provided.
A MIMO-OFDM Based Secure and Robust Communication System for IOT Driven Healthcare

 Abstract: E-health is a comprehensive term applied for the joint utilization of communication technologies with electronic information for health sector. Internet of Things (IoT) in conjunction with Cyber Physical systems (CPS) is an emerging paradigm that is supposed to hugely influence e-health services round the globe. One of the core issues that need to be addressed in an IoT driven e-healthcare system is the security and robust transmission of Electronic Health Record (EHR) in a fading channel environment. For reliable and high speed transmission of critical electronic information, we have exploited Multiple Input Multiple Output, Orthogonal Frequency Division Multiplexing MIMO-OFDM technology. This paper presents a secure and robust technique for transmission of medical images with EHR hidden in them for an IoT driven e-health setup. The Orthogonal Variable Spreading Factor (OVSF) codes have been put to use for robustness enhancement of critical medical information during its transmission. In order to upturn the reliability of the transmission link and hence the robustness of the developed system, the antenna diversity order has been exploited. To ensure security of EHR, information hiding has been used to embed EHR in cover medical images prior to its transmission. Spatial domain embedding techniques, Least Significant Bit (LSB) and Intermediate Significant Bit (ISB) substitution, due to their lesser computational complexity have been used for Electronic Patient Record (EPR) embedding. The proposed scheme has been evaluated in terms of various image quality indices. The results obtained show that the proposed scheme is capable of transmitting EPR securely and robustly. A comparison of the proposed scheme with some state of art techniques shows that our system performs better in a real fading environment.
Intelligent End-to-End Congestion Control in Wireless Mesh Networks

— Wireless mesh networks have unique characteristics such as the lossy nature of the communication medium, absence of a base station, etc and due to this, maintaining the performance of reliable transport protocols, such as TCP, over wireless mesh networks is a challenging problem. One of the reasons for poor performance of conventional TCP variants over WMN is that the congestion control mechanisms in conventional TCP variants do not explicitly account for these unique characteristics. To address this problem, a novel neural network based congestion control technique is proposed for reliable data transfer over WMN. The proposed technique will be analyzed in detail and is incorporated into TCP to create a variant that we name as intelligent TCP or iTCP. Also, in a wireless communication, any link failure will suspend data delivery completely and thus the overhead of route discovery cannot be neglected. The routing should take place reducing the routing overhead providing a suitable rebroadcast delay for determining the rebroadcast order and thus decreasing the number of retransmissions. So the objective is to control the congestion while providing a more flexible routing to improve the routing performance, while not to violate the basic principles of proposed protocol. The performance of iTCP is evaluated using ns-2 simulations and the results demonstrate that our proposed technique exhibit significant improvement in total network throughput and average residual energy.
Subarachnoid Analgesic Modalities Fentanyl-Bupivacaine and Bupivacaine in Surgical Interventions of Inferior Hemiabdomen

Objectives: Eto value the subarachnoid analgesic modalities fentanyl-bupivacaine and bupivacaine in surgical interventions of the inferior hemiabdomen. Material and Methods: A prospective longitudinal analytical Study was carried out at the university Hospital “Manuel Ascunce Domenech” since January 2015 to December 2017. The universe was composed of 180 patients. A sample of 60 patients was selected using simple random probabilistic sampling distributed in two groups: A (Fentanyl-bupivacaine) and B (Bupivacaine) that met the inclusion criteria. The data were collected in the form on the basis of the investigation that allowed the preparation of a database in statistical package for social sciences. They were used in the analysis of univariate and multivariate techniques. Results: The complications and adverse reactions and their probability of presentation in the group fentanyl-bupivacaine, which was higher, were drowsiness (3.5 times), arterial hypotension (2.8 times), pruritus (2.1 times), and Bradycardia (2.1 times), corroborated by the confidence interval. This group was 10 times more likely to have tolerable discomfort or no pain (OR = 10.2) than those treated with bupivacaine that presented moderate pain; 10 times more chance of analgesia greater than three hours (or = 10.7) versus bupivacaine with analgesia of thirty minutes to three hours and 8 times more likely to receive good satisfaction (or = 7.8). Conclusions: The evaluation of the Postoperative pain and analgesia time were better in patients treated with fentanyl-bupivacaine which resulted in higher quality analgesia but predominated drowsiness, arterial hypotension, pruritus and bradycardia as adverse reactions.
Data Mining: Random Swapping based Data Perturbation Technique for Privacy Preserving in Data Mining

--Data mining is a process of collecting unknown data from different data sources and such data are very much useful for various decision-making Processes. Data mining process utilizes such sensitive information for analyzing purpose but, privacy preservation of such sensitive data is very much important in every data mining applications. For Example, inpatient Health records some of the sensitive attributes like PID, Age, and Disease Name should not be disclosed to the third party which will lead to privacy violation of the individuals. Hence, a new model should be designed to preserve the privacy of such Sensitive data before it make publicly available. In this paper, an accurate and efficient PPDM (Privacy Preserving Data Mining) technique is implemented in order to preserve the private information about individuals. In the Existing System, traditional Geometric data perturbation (Gaussian Noise Based) technique preserved the individual privacy with some information loss. In the Proposed Paper, an efficient and effective Random Swapping based data perturbation technique is proposed which is mainly focuses on preserving the sensitive attributes and also attaining accurate classification results with minimum Information loss. In Proposed Framework, the accuracy, error rates is compared with a Naïve Bayes classification algorithm and J48 decision tree Algorithm and results are analysed using Weka 3.8 tool. Proposed Random Swapping Based perturbation technique improved the Accuracy and reduced the error rates with minimum information loss with compared to the existing system. Keywords—Data Mining, Privacy Preserving, Data Perturbation, Random Swapping, Naive Bayes Classification, J48 decision tree, Geometric Data Perturbation.
Determinants of Hotel’s Service Standard: Reputation and Relationship Orientation

Pakistan offers plethora of natural scenery that attracts domestic as well as international tourists, visitors and adventure seekers and it opens new business opportunities specially hotel business which substantially contribute in national economy. According to “Pakistan hotel association” Pakistan has emerged as an important investment destination for new hotels. Today, hotels are constantly increasing their work processes and use a range of equipment to make services unique such as conference equipment, swimming pools, cleaning services, and airport pickup services and other re-creational activities to attract customers. Moreover, competition in the hotel industry is high and it put stress on top management to adopt different strategies to get competitive edge and diversify their business; for instance, tourism hotels, motels, guest house, conference halls for different events, meetings and other services like accommodation, restaurant and recreational facilities. Thus, the major concern for the hotel managers’ is to beat the competitor and excel in hotel industry.
System For 3 Level Security Verification Using Image Based Authentication & OTP

: This paper disucsses about improving authentication and authorization techniques which can be easily implemented and are user friendly Every individual has their own personal life. In a world with internet, the process of communication and personal life management has drastically changed from what it was few decades back. But for any internet user, the advantage of instant communication comes at a cost. The network infrastructure has loopholes which gives way to hackers to access any registered users entire data. The hacker can further exploit an individual for personal benefits. These loopholes can we covered by introducing a multiple authentication and authorization techniques in the process. We have designed a unique 3 Level Authentication and Authorization system while keeping in mind the key fundamentals of security which are Confidentiality, Integrity & Availability. We want each and every user to feel secure and safe from hackers.
chalcogenide crystals through X-ray Diffraction

The X-ray diffraction technique is used to study th e structure of the material. The quaternary system Se68Te19xSn13Bix (x=8, 9, 10, 11, 12) is analyzed with the powder d iffraction method which is known as the finger prin t identification of the material. The material is het erogeneous and has the different phases. The variou s parameters regarding the material viz. miller indic es (h, k, l values), volume, density, lattice spaci ng, FWHM, particle size and Lorentz’s polarization factor hav e been calculated. The system taken is showing both the cubic and hexagonal structure. This confirms the polycrys talline behavior of the system showing the presence of a multiphase structure. The material has same phases in all compositions as the peaks are almost at the same positions in all the samples, However there is slig ht variation in their intensity. The samples are pr ared by the melt quenching technique. The Lorentz polarization factor gives the lower value of intensity of reflec tion at the intermediate angles compared to those in forward an backward directions. The particle size in the mat eri l found to be increasing up to x=11 thenafter decreas e. In average the distance of closest approach for cubic system is found to be 9.62 Å and for the hexagonal system it is found to be 5.02 Å. The density of mat erial is found to be more in the hexagonal system as that of cubic system
HbA1c AS A PREDICTOR OF PROGNOSIS FOLLOWING ACUTE CORONARY SYNDROME (ACS) AND ST ELEVATION MYOCARDIAL INFARCTION (STEMI) COMPARED TO FASTING AND ADMISSION GLUCOSE

Background: Glycosylated hemoglobin (HbA1c) is a marker of long-term glycemic control and elevated HbA1c is associated with an increased risk of cardiovascular diseases in patients with diabetes. Moreover, HbA1c is also associated with all-cause mortality and cardiovascular disease even in the absence of diabetes. Both plasma glucose levels and HbA1c were implicated as predictors of prognosis. Methods: This study was conducted as a prospective study, wherein written informed consent was taken prior to the investigation after detailed information given to the participants regarding the study. Non diabetic patients in the age group 22 to 60years; presenting with Acute Coronary Syndrome or ST Elevation MI was taken for the study. Patients were stratified into four groups based on HbA1c levels as low (<5%), intermediate (5.1-5.6%), high (5.7-6.4%) and diabetic (>/=6.5%). They were subjected to follow up after one year by a telephone and/or clinical interview; and checking medical records in case of another visit to hospital. Pre-specified clinical endpoints were defined as cardiac death; nonfatal MI; revascularization / rehospitalisation due to attack of ACS. Results: Heart failure, non-fatal MI, repeat PTCA/TLT, attack of ACS, cardiac death, and heart failure plus ACS were respectively seen in 15.9%, 4.5%, 15.9%, 22.7%, 15.9% and 6.8% of patients with HbA1c between 5.7-6.4%. The independent CV outcome of our combined variable outcomes of one year were statistically significant for HbA1c with odd‘s ratio=4.36 (95% CI of 2.17 – 8.74, p<0.0001). However, neither admission glucose nor FBS were associated with increased risk (p=0.055 and P=0.07 respectively). Conclusion: We concluded that in ACS patients without known diabetes mellitus, long term abnormalities in glucose control assessed by HbA1c; is a better predictor of poor CV outcome compared to admission glucose and FBS.
The Problem of Cognitive Impairments in Young Men with Epilepsy

Epilepsy is a chronic disease of the central system with a wide range of neuropsychiatric disorders. Cognitive disorders are quite common with this disease and significantly reduce the quality of life of patients and their families. In approximately 35% of patients, despite treatment, various impairments of memory, attention and bradyphrenia persist in the interictal period. Causes of cognitive impairment in patients with epilepsy can be directly the underlying factor of epilepsy (genetic disease, structural brain defect, etc.), epileptic seizures, interictal epileptiform activity, side effects of antiepileptic drugs (AEDs). Modern neurophysiological and neuroimaging diagnostic methods allow us to identify new features of the course and progression of dysfunctions of higher nervous activity in epilepsy.
Acquisition of cervical control through high postures in patients with West Syndrome: a case report.

Introduction: early identification of neurological disorders is considered important in the assessment of risk factors and early treatment and subsequently in monitoring the child. Objective: report the lived experiences in a physiotherapy program based on high neuro‑evolutive postures in the development of the cervical and trunk control in a child diagnosed with West Syndrome, cerebral palsy and hydrocephalus. Methods: female child, chronological age of four years and five months, motor age less than three months. Kinetic and functional assessment was performed and the Gross Motor Function Measure (GMFM) and the Gross Motor Function Classification System (GMFCS) was used to characterize the subject. Results: there was an increase to 68.6% in the GMFM, maintaining the level of the GMFCS, improvement of cervical and trunk control in sitting and standing position and when were performed postural changes. Conclusion: the physiotherapeutic care proved to be beneficial in the gradual development of cervical and trunk motor control.
Cup Segmentation by Gradient Method for the Assessment of Glaucoma from Retinal Image

Automatic analysis of retinal images is emerging as an important tool for early detection of eye diseases. Glaucoma is one of the main causes of blindness in recent times. Deformation of Optic Disk (OD) and the Cup (inside the Optic Disk) is important parameter for glaucoma detection. The detection of OD manually by experts is a standard procedure for this. There have been efforts for OD segmentation but very few methods for the cup segmentation. Finding the cup region helps in finding the cup-to-disk (CDR) which is also an important property for identifying the disease. In this paper, we present an automatic cup region segmentation method based on gradient method. The method has been evaluated on dataset of images taken from random images from different sources. The segmentation results obtained shows consistency on handling photometric and geometric variations found across the dataset. Overall, the obtained result show effectiveness in segmentation of the cup in the process of glaucoma assessment. Keywords— Cup, glaucoma, gradient, optic disk(OD), retinal
Implementation of Load Balancing Algorithm for Data Intensive Applications using MPI

Applications which are data intensive and parallel, say data compression and decompression, projectile tracking and other scientific applications need to deploy large data sets and require large computational power. Due to high cost of super computers, they cannot be utilized extensively in such complex scenarios. This led to deploying distributed systems to resolve these problems. High performance distributed computing clusters are designed to establish a system with single image and high throughput. Identifying the busy nodes in a huge cluster makes the cluster more effective through Load Balancing Algorithm(LBA) and gives the heavily loaded nodes minimal time to come up for the better execution in the future runs. MPI (Message Passing Interface) is a standard API (Application Programming Interface) used to create distributed applications. This paper demonstrates load balancing on a computation cluster by implementing data compression/ decompression so as to achieve higher computational throughput. The load balancing technique implemented can further be used for developing distributed applications for image processing, network routing etc.
A cumulative study on content based information retrieval system

- The proceeding with development of data flood has made it difficult to get important data on the web. In this pattern, the requirement for successful Information Retrieval (IR) procedure has been expanded . In spite of the fact that record information contain a great deal more plenteous data, clients can recover essential data just from the title and portrayal in ordinary web administrations. In order to meet the demands for fast and accurate retrieval of valuable information, we propose a quick and compelling substance based report data recovery framework that recovers the data from the real substance of an archive The proposed strategy depends on a theme model of Latent Dirichlet Allocation that is utilized to concentrate major catchphrases for a given record. The principle commitments of our framework are the expanded adaptability, viability, and quick recovery of data. Our framework can without much of a stretch speak with existing web benefit through the standard JSON organize. In addition ,we increment the speed of data recovery by utilizing No-SQL based database system with inverted indexing and M-tree based indexing. We validate the performance of our system on real data collected from the Slide Share service. The proposed framework demonstrates better recovery execution over the current IR framework. To enhance the process of content based information retrieval on huge data in NOSQL paradigm proposed system put forwards an idea of searching the keywords using features of the data by implementing inverted index on M Tree for JSON retrieval objects and the whole process is powered with fuzzy classification technique