Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review 4G system QAM MC-CDMA Higher Data Rates Transmission Systems in Impulsive Noise

: MC-CDMA and MCDS-CDMA systems to carrier offset in a frequency selective channel, with a zero forcing (ZF) or a minimum mean square error (MMSE) equalizer. The data rate and spectrum efficiency of wireless mobile communications have been significantly improved over the last decade or so. Recently, the advanced systems such as 3GPP LTE and terrestrial digital TV broadcasting have been sophisticatedly developed using OFDM and CDMA technology. In Impulsive Noise remove general, most mobile communication systems transmit bits of information in the radio space to the receiver. The radio channels in mobile radio systems are usually multi path fading channels, which cause inter-symbol interference (ISI) in the received signal. To remove ISI from the signal, there is a need of strong equalizer which requires knowledge on the channel impulse response (CIR). This is primarily provided by a separate channel estimator. Usually the channel estimation is based on the known sequence of bits, which is unique for a certain transmitter and which is repeated in every transmission burst. Thus, the channel estimator is able to estimate CIR for each burst separately by exploiting the known transmitted bits and the corresponding received samples. In this thesis we investigate and compare various efficient channel estimation schemes for OFDM systems which can also be extended to MC DS-CDMA systems. The channel estimation can be performed by either inserting pilot tones into all sub carriers focused employing Least Square Error (LSE) and Minimum Mean Square Error (MMSE) channel estimators. Block type pilot sub-carriers is especially suitable for slow-fading radio channels whereas comb type pilots provide better resistance to fast fading channels.
Empirical Algorithms for Estimating Total Phosphorus 1 During Restoration of Urbanized Polluted Rivers Using 2 Bacterial Technology

Volume 1 • Issue 6 • 2012 great concern because of the innovative and fast way it lowers the concentrations of the BOD and COD concentrations [6]. These bacterial technologies have been seen as necessary protocols towards sustainable management of urban water systems. However, there is a lack of models for forecasting and monitoring of the nutrient concentrations during such treatment campaigns. Predictive modelling of nutrient storage in rivers is an important aid to monitoring exercises of urban rivers. For instance, mathematical expressions derived by Vollenweider were used to estimate the fate of phosphorus in water bodies [7]. The challenge was that measurements such as lake’s areal surface, areal water load, lake water’s residence time and inflow phosphorus concentration were used to estimate total phosphorus. In a typical river restoration program with bacterial technology, these measurements are irrelevant. In another study, statistical models were successfully used to investigate the Escherichia coli concentrations in beaches in Lake Michigan [8]. Also, the fate of faecal indicators were modelled in the UK using digital land use maps [9]. Further, another study on lakes in the U.S used regression models to monitor nutrient and bacteria concentrations in real time [10]. These models were typically applied to lake conditions, and parameters used were far different from those usually concerned with in bacterial technology programs for rivers. Therefore, mathematical models to predict total phosphorus dynamics to support monitoring, planning and management of urban rivers during bacterial technology programs remain a major setback. The estimation of total phosphorus presence in urban rivers is an important indicator for understanding eutrophication problems [11].
Cheyne-Stokes Respiration , Obstructive Sleep Apnea and Chronic Heart Failure . Is Auto Servo-Ventilation the Best Choice ? A Case Report and Literature Review

Background: Sleep-disordered breathing (SDB) describes a group of disorders in which partial or complete cessation of breathing occurs many times throughout the night, resulting in daytime sleepiness or fatigue that interferes with quality of life of patient. Collectively, obstructive sleep apnea (OSA) and central sleep apnea (CSA)/Cheyne-Stokes respiration (CSR) constitute SDB. Evidence suggests that both forms of SDB and often their combination of both are highly prevalent in patients with cardiovascular disease, including chronic heart failure (CHF). A 70year-old male (nonsmoking, with normal weight,) visited to our office with symptoms of excessive daytime sleepness and a history of snoring. The principle comorbidities were ischemic cardiomyopathy, chronic atrial fibrillation with left ventricular ejection fraction (LVEF) of 45%. He was screened for SDB and susequently underwent an ambulatory home sleep apnea study (HSAT), which demonstrated a severe OSA with CSR. He was then subjected to auto servo-ventilation (ASV), which had benefit; treatment with automatic or fixed continuous positive airway Pressure (APAP/ CPAP) was not effective. His quality of life improved (with reduction of daytime sleepiness and fatigue) and his LVEF increasead. This case report, demonstrates the beneficial effects of ASV for a patient with OSA and CSR, improving his symptoms, representative clinical parameters with regard to heart failure and cardiac function.
High-yield Cellulases and Xylanase Production from Sugar-cane Bagasse Pith by Aspergillus oryzae FK-923 Cultivated under Solid State Fermentation

High-yield of fungal cellulases, endo-1,4-β-D glucanases (EC3.2.1.4), exo1,4-β-D glucanases (EC 3.2.1.91) and β-D glucosidases (EC3.2.1.21) in addition to xylanase (EC 3.2.1.8) were produced from pretreated sugar-cane bagasse pith (SCBP) by Aspergillus oryzae FK-923cultivated under solid state fermentation. The highest enzyme activities were 120.2, 129.2, 145.8 and 688.2 Ug -1 for FPase, CMCase, β -glucosidase and xylanase, respectively. The pretreatment of sugar-cane bagasse pith with sulfuric acid was more suitable for enhancing cellulases and xylanase production. Enzymes were produced under the following conditions; the moisture content of treated bagasse pith was 80%, initial pH ranged from 4.5-5.5, 4 days of incubation at 30 °C. Urea was efficient for enzyme production followed by Ammonium phosphate di basic. The pH value (5.0) was more suitable for the enzyme extracted from fermented substrate as well as solid to solvent ratio 1:15 was the optimum for enzymes elution. Among different solvents used for enzyme extraction, 0.05 citrate buffer was most efficient. The optimum pH and temperature for enzyme activity were 5.0-5.5 and 55 O C.
Microsoft Kinect in Gesture Recognition: A Short Review

Microsoft Kinect sensor is a low cost, high-resolution, depth and visual (RGB) sensing device. It became popular in a very short span for widespread use. The depth and visual information (RGB-D) together provided by the Kinect sensor opens up new opportunities for computer vision. This paper contains an overview of evolution of different versions of Kinect and highlights the differences of their key features. It also reviews the use of Kinect v1 and v2 in gesture recognition, an important field of computer vision. Finally, a summary of the challenges in this field and future research trends is provided.
A Study of Genetic Algorithm and Crossover Techniques

: Genetic algorithms are inspired by Darwin’s theory of natural evolution. In the natural world, organisms who are poorly suited for the environment die off, while those well suited, prosper. Genetic algorithms search the space of individuals for good candidates. The chance of particular individual being selected is proportional to the amount by which its fitness is greater or less than its competitors’ fitness. Genetic algorithms are ways of solving problems by mimicking processes nature uses; i
Treating Acute Myeloid Leukemia with Sequential Autologous Leukemia Antigen-Loaded DC-CIK Cells after Chemotherapy: A Retrospective Study

To retrospectively analyze the clinical safety and effectiveness of treating acute myeloid leukemia (AML) with sequential autologous leukemia antigenloaded DC-CIK cells after chemotherapy. Four hundred AML patients were divided into treatment (n=210) and control (n=190) groups, and categorized into favorable, intermediate, and poor risk sub-groups according to NCCN guidelines. DC-CIK cellular parameters were measured by flow cytometry. Treatmentrelated adverse responses were observed, and the clinical efficacies were compared between groups and among the favorable, intermediate, and poor risk sub-groups. Patients in the treatment group underwent at least four DCCIK infusions. The CD3+:CD8+ and CD3+:CD56+ ratio of the DC-CIK cells was 78.3±4.3% and 35.1±3.5%, respectively, which was significantly higher than in CIK cells 52.1±3.8% and 19±3.1% (both P<0.05). Patient overall survival (OS) (54.8% vs. 37.9%, P<0.05) and disease-free survival (DFS) (49.5% vs. 32.1%, P<0.05) in the treatment group was significantly higher than the control group. OS of treatment group patients in the favorable, intermediate, and poor sub-groups was 73.4%, 52.9%, and 10.3%, and was 51.5%, 36.1%, and 8.0% in the control group, respectively. Treatment group patient OS in the favorable and intermediate risk sub-groups was significantly higher the control group (P<0.05). however, the outcomes of the poor risk AML patients could not be improved (P>0.05). Thirty-one (14.7%) treatment group patients had only transient minimal adverse responses. Sequential infusion of DC-CIK cells could significantly increase DFS and long-term survival of favorable and intermediate risk AML patients. For poor risk AML patients, we suggest immediate HSCT therapy after induction of remission.
Gaming with augmented reality interface and quantum dot technology

In Augmented Reality (AR), interfaces consist of a blend of both real and virtual content. In this paper we examine existing gaming styles played in the real world or on computers. We discuss the strengths and weaknesses of these mediums within an informal model of gaming experience split into four aspects; physical, mental, social and emotional. We find that their strengths are mostly complementary, and argue that games built in AR can blend them to enhance existing game styles and open up new ones. To illustrate these ideas, we present our work on Quantum AR Worms, a re-implementation of the classic Quantum Dot model with the computer game Worms using Augmented Reality. We discuss how AR has enabled us to start exploring interfaces for gaming, and present informal observations of players at several demonstrations. Finally, we present some ideas for AR games in the area of strategy and role playing games. Augmented reality interfaces have proven valuable in many application areas. For example, using this technology doctors can see medical imagery superimposed over a patient’s body, giving them a form of X-ray vision [2] , archaeologists can see virtual reconstructions on historic sites [3] , and engineers can see virtual overlays showing how to assemble machinery [4] . In these settings a user typically wears a head mounted display (HMD) with a camera attached so that they can see virtual imagery overlaid on live video of the real world.
Secure Image Datasets in Cloud Computing

-Large–Scale datasets are used today for various application such as medical imaging,remote sensing,satellite image datasets etc. For this purpose, we can share the image from data owner to data user through cloud server. Cloud server is public , so third parties attack the sensitive data. In this paper, we introduce outsourcing image recovery service i.e. image is compressed then encrypted ,it is sent to cloud server at the sender side. At the receiver side decrypt the image and decompressed. By this way secure the data by encryption method and increase the bandwidth efficiency by compression.
OPEN SOURCE ENTERPRISE APPLICATIONS IN BOTSWANA: A READINESS ASSESSMENT

Open Source Software (OSS) adoption has drawn much attention from various authors who advocate for a possible replacement of proprietary software platforms. The aim of this study is to investigate and publish results of a survey conducted to test the open source software readiness of companies in Botswana. An instrument, adopted from Info-Tech (http://www.myphalinks.com) and slightly modified for the purpose of this study, was used to measure the readiness status of the companies at a fair in Gaborone, Botswana. The result was that, although companies indicated that OSS could not be software of choice in the short-to-medium term, IT experts were running OSS systems like the Linux Operating System as well as other software packages as back end systems to support their major proprietary IT infrastructures. Overall, this study showed that most companies in Botswana are not yet ready for OSS adoption.
I NTELLIGENT C ONTROL F OR A G REENHOUSE C LIMATE

The greenhouse is designed to recreate an environment wherein the temperature, humidity and light are monitored and adjusted to optimize the conditions of plant cultivation. The algorithms of control proposed in this paper are based on the use of three methods: optimal control, fuzzy control and fuzzy adaptive control. The advantage of fuzzy logic is its ability to process imprecise. It comes from the human ability to decide and act appropriately despite the uncertainty of available knowledge. The synthesis of fuzzy controllers for controlling MIMO systems requires writing a lot of rules and setting an impressive number of parameters. The goal we have set is to reduce the complexity of the fuzzy controller through an optimization technique based on gradient descent algorithm. This paper shows that it is possible to control the greenhouse by using a fuzzy adaptive algorithm. The study is illustrated with several representative numerical examples
Automated Attendance System Using Face Recognition

- In modern times, face recognition has become one of the key aspects of computer vision. There are at least two reasons for this trend; the first is the commercial and law enforcement applications, and the second is the availability of feasible technologies after years of research. Due to the very nature of the problem, computer scientists, neuroscientists and psychologists all share a keen interest in this field. In plain words, it is a computer application for automatically identifying a person from a still image or video frame. In this paper we proposed an automated attendance management system. This system based on face detection and recognition algorithms, which automatically detects the student when he enter in the class room and marks the attendance by recognizing him. We used Viola-Jones Algorithm face detection which detect human face using cascade classifier and PCA algorithm for feature selection and SVM for classification. When compared to traditional attendance marking this system saves the time and also helps to monitor the students.
Jowl cysts, multiplicity and taxonomy: ameloblastoma

Elaborated from “amel” (implying enamel) and “blastos” (connoting a germ) and initially chronicled in 1827 by Cusack, Ameloblastoma is a rare, benign, slow-growing, locally invasive neoplasm of odontogenic origin, affecting mandible (80%) and maxilla necessitating conservative therapy and elucidating considerable recurrences. Substitute terminologies are cystosarcoma, adamantine epithelioma, adamantinoma and ameloblastoma. The worldwide prevalence is of 0.5 cases per million persons, a range of presentation between 30 to 60 years and a median at 40 years. The tumor classically manifests as a painless lump in the maxilla or mandible. Malignant metamorphosis is heralded by a painful, accelerated growth. Tooth displacement, root resorption, paraesthesia are infrequent. Mandibular lesions (80%) are predominate in the posterior mandibular zone and exceptionally in the sinonasal cavities. Maxillary ameloblastoma, in conjunction, may preponderate the posterior molar region. Ameloblastic carcinoma preferentially has a maxillary localization. Nonspecific irritation from tooth extraction, dental caries, trauma, inflammation, nutritional deficiencies are factors which predispose to the genesis of ameloblastoma.
A Service Oriented Middle-Ware for Managing Execution Sequence of Distributed Robots through Orchestration

An Orchestrator coordinates and control computations in parallel and sequential computing nodes. The paper presents an Orchestrator framework for automation of multiple robots. The orchestrator controlling mechanism is adaptive and flexible. According to application, it is able to decide the invoking sequence of robots. The proposed framework also manages service failures. The framework is implemented using RMI, multithreading and RS-232 standard in Java.
HETEROLEPTIC MONONUCLEAR RUTHENIUM(II) COMPLEXES: SYNTHESIS, CHARACTERIZATION, DNA CLEAVAGE, ANTIOXIDANT AND CYTOTOXIC ACTIVITIES

Mononuclear ruthenium(II) complexes of the type [Ru(bpy)2(L)] (PF6)2, where L=4,5-bis(4-dimethyaminophenyl)-1H, 1 'H-2,2'-biimidazole (1) and 4,5-bis (4-fluorophenyl) 1H, 1' H-2,2'biimidazole (2) have been synthesized and characterized by elemental analyses and spectroscopic techniques such as UV-visible, IR and ESI-MS. The redox behavior of the complexes has been studied by cyclic and differential pulse voltammetry. Both the complexes show reversible electrochemical wave attributable to Ru(II)/Ru(III) couple. The complexes exhibit half-wave potential (E1/2) values of +0.8698 V for the complex 1 and +0.8395 V for the complex 2 respectively. Electrophoretic studies showed that the complexes are able to cleave supercoiled plasmid DNA more effectively in the presence of light at the wavelength of 480 nm. The mode of action of DNA cleavage activity was studied using DMSO and histidine. DPPH method has been adopted to find the radical scavenging activity of the newly synthesized ligands and complexes. The cytotoxic activity of these complexes was evaluated by 3-(4,5-dimethylthiazol-2-yl)-2,5diphenyltetrazolium bromide (MTT) assay against MCF7 breast cancer cell lines. INTRODUCTION: Making use of different properties of metal ions, new anticancer agents are being developed in the field of medicinal inorganic chemistry. 1 Conversely, metal-based therapeutics finds some limitations thereby emerging the scientists to develop new drugs. The clinical success of cisplatin as an anticancer drug has promoted the research in this field to contribute more against cancerous cells.
A Novel Approach to Trustworthy Resource Sharing on Collaborative Cloud Computing

In this paper, we address resource management and reputation management are the two fundamental issues. In ccc harmony platform Cloud will used to integrates res mgt and rept mgt in a harmonious manner. Harmony incorporates three key innovations: integrated multi-faceted resource/reputation management, multi-qos-oriented resource selection, and price-assisted resource/reputation control. The issues of resource management and reputation management must be jointly addressed in order to ensure the successful deployment of ccc. however, these two issues have typically been addressed separately in previous research efforts, and simply combining the two systems generates double .
1.5mW,14.68V/µS-Low Power and High Speed Comparator Design for ADC Applications

Advanced medical equipments embedded with the sensors, analog to digital converters (ADC) and other equipment. Gain amplifier and the comparator are key blocks in ADCs improvement. Comparator is the key element in achieving a low offset and high slew ratein the ADCs, in addition power and speed optimizationdesigns are preferred. To achieve high speed and low power a modified architecture of a comparator is introduced. A 5V two stage comparator is designed to meet the specifications as, offset value <8.4mV, power dissipation <1.5mW and slew rate>14.68V/µS. Cadence Virtuoso tools and SCL 0.18 µm technology parameters are used for design. Designed comparator shows improved slew rate and power consumption in comparison with the existing comparators
Improving Job Scheduling in Hadoop MapReduce

— Hadoop is a framework for processing large amount of data in parallel with the help of Hadoop Distributed File System (HDFS) and MapReduce framework. Job scheduling is an important process in Hadoop MapReduce. MapReduce scheduler does not scale well in heterogeneous environment. As an extension of Hadoop scheduler, LATE MapReduce scheduling algorithm takes heterogeneous environment into consideration. However, its performance is much poor due to the static manner in which it computes progress of tasks. So, neither Hadoop nor LATE schedulers are desirable in heterogeneous environment. To address this issue, M_LATE (Modified Late) scheduler has introduced, which calculates progress of tasks dynamically and adapts to the continuously varying environment automatically. When a job is committed, M_LATE splits the job into lots of fine-grained map and reduce tasks, then assigns them to a series of nodes. Meanwhile, it reads historical information which stored on every node and updated after every execution. Then, M_LATE adjusts time weight of each stage of map and reduce tasks according to the historical information respectively. Thus, it gets the progress of each task accurately and finds which tasks need backup tasks. What’s more, it identifies slow nodes and classifies them into the sets of slow nodes dynamically. According to the information of these slow nodes, M_LATE will not launch backup tasks on them, ensuring the backup tasks will not be slow tasks any more. It gets the final results of the fine-grained tasks when either slow tasks or backup tasks finish first. The proposed algorithm is evaluated by extensive experiments over various heterogeneous environment. Experimental results show that M_LATE significantly decreases the time of execution up to 25% compared with Hadoop’s scheduler and up to 14% compared with LATE scheduler.
Optimal Joint Maximum Likelihood based Estimator for Discrete Nonlinear Dynamic Systems

The Joint Maximum Likelihood (JML) criterion is used to derive the optimal recursive-iterative estimator for discrete nonlinear dynamic systems. For linear systems this approach constitutes, in its recursive form, the structure of the Kalman Filter. The JML approach to estimation of nonlinear systems can be solved by batch formulas at the cost of extensive computational effort, i.e. with each new measurement the for derivation of the new estimate all available data has to be processed. This paper presents recursive-iterative implicit closed form solution that gives formulas of the optimal estimator, i.e. gives the value of the optimal estimated state. The computation of the estimator's gains needs the solution of non-symmetric Difference Matrix Riccati Equation (DMRE).