Miracle-dz/UniFAR-FTUs huggingface dataset:
A Network Meta-Analysis on the Effects of Information Technology Application on Preoperative Anxiety of Patients

The application of information technology in health education plan in Taiwan had gone for a long time. This study was performed to synthesize existing research comparing the effects of information technology application versus traditional instruction in health education plan on patients’ anxiety in Taiwan. In spite of claims regarding the potential benefits of using information technology in health education plan, research results comparing the effects of information technology application and traditional instruction in Taiwan were conflicting. Meta-analysis was a statistical process whereby the findings of several studies, focusing on a common problem or topic, are pooled in an effort to draw inferences as to the meaning of a collective body of research. The results of this study indicate that information technology application in health education plan had moderately effects on patients’ anxiety over traditional health education plan in Taiwan. The results from this study suggest information technology application with health education is positive with patients’ anxiety. This study compared the effects of traditional health education plan on preoperative anxiety of patients with the therapy of information technology application, music, and aromatherapy. It could find that the effects of music therapy were better than others, and information technology application was the second. So the effects of information technology application on preoperative anxiety of patients could be increased with the therapy of music.
Acute pain control by Pethidine versus intravenous acetaminophen in maxillofacial surgeries: a double blind randomized-controlled trial

Background and aim: In a double-blind randomized-controlled trial we wanted to assess the efficacy of intravenous acetaminophen in controlling early postoperative pain in maxillofacial inpatient operations compared to routinely administered opioids. Materials and methods: We studied 52 consecutive patients. All patients had an operation on their mandible. The patients were randomly divided into two groups by simple randomization. Postoperative pain was measured by visual analogue score (VAS) 1, 2, 4, 8, 12 and 24 hours after the operation. The first group (26 patients) received postoperative Pethidine 1 mg per kg every 4 hours while the second group (26 patients) received postoperative acetaminophen 15 mg per kg every 6 hours. Results: There was not any significant difference between age and sex ratio in two study groups (p > 0.05). There was not any significant difference between pain scores of two groups at postoperative time intervals (p > 0.05). Repeated-measure ANOVA test revealed that the decline of pain was observed in both groups and the trend of decline had no significant difference between two groups (p > 0.05). Conclusion: In conclusion, we found that intravenous acetaminophen is equal to routine opioid administration in controlling acute pain after maxillofacial surgeries. [Yazdani J, Ghavimi MA, Hajmohammadi-Somarin M, Zarrintan S. Acute pain control by Pethidine versus intravenous acetaminophen in maxillofacial surgeries: a double blind randomized-controlled trial. J Am Sci 2013;9(7s):51-56]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 8
CLINICAL EVALUATION FENUGREEK SEED EXTRACT IN PATIENTS WITH TYPE-2 DIABETES: AN ADD-ON STUDY IN 154 PATIENTS

Diabetes is an epidemic disease and is considered as the major cause of mortality and morbidity across globe. The global increase in the prevalence of diabetes is due to the combination of causes such as population growth, aging, unplanned fast urbanization and an increase in obesity and physical inactivity. Addition of fenugreek seed extract in the diet may reduce blood sugar and urine sugar levels along with improvement in glucose tolerance in type-2 diabetic patients. The present study was an add-on, randomized, double blind, placebo controlled study to evaluate the efficacy and safety of the standardized fenugreek seed extract as furostenolic saponins. It included the oral administration of Fenugreek seed extract (Fenfuro) in 154 patients suffering from type-2 diabetes mellitus were randomized in two groups. One group of patients received Fenfuro and the other group received Placebo. The subjects were assed clinically and biochemically at pre-defined intervals of 4 weeks during 12 weeks study. Fenfuro effectively caused significant change in blood glucose levels, decrease in HbA1c levels, fasting plasma glucose levels, PP plasma glucose levels and increase in C-peptide levels as compared to Placebo group. Fenfuro-treated group also showed reduction in concomitant anti-diabetic therapy. This fenugreek preparation was also found to be safe in patients with type-2 diabetes as depicted by the safety parameters. World Journal of Pharmaceutical Research SJIF Impact Factor 5.990 Volume 4, Issue 10, 2266-2279. Research Article ISSN 2277– 7105 Article Received on 18 Aug 2015, Revised on 10 Sep 2015, Accepted on 03 Oct 2015
Deadline Constrained Cloud Computing Resources Scheduling by Hybrid of Particle Swarm Optimization with Ant Colony Optimization

: Cloud computing is flourishing day by day and it will continue in developing phase until computers and internet era is in existence. An evolutionary algorithm copies the way how evolution occurs in the nature. There are various types of evolutionary algorithms. This paper focuses on Genetic, ACO and PSO algorithms. Genetic algorithm provides solution to various optimization problems Job scheduling is one of the answers to these issues. It is the process of mapping task to available resource. Ant colony optimization is a heuristic algorithm which follows the behavior of ants i.e., the way ants seek food in their environment by starting from their nest. Particle swarm optimization algorithm (PSO) is also an optimization algorithm which also uses a method of searching using some heuristics. In section discuss about cloud computing and scheduling, explanation about job scheduling in cloud computing, existing algorithms for job scheduling are discussed, existing algorithms are compared and lastly conclusion and future work are discussed.
Analysing MRI Brain Images Using Fuzzy Analysing MRI Brain Images Using Fuzzy Analysing MRI Brain Images Using Fuzzy Analysing MRI Brain Images Using Fuzzy Analysing MRI Brain Images Using Fuzzy C–Means Algorithm C–Means Algorithm C–Means Algorithm C–Means Algorithm C–Means Algorithm

: :Data mining techniques are applied to Medical image processing for the identification of significant diseases in medical images like Magnetic Resonance Imaging (MRI), mammogram and some other images. A number of Data Mining (DM) algorithms are utilised for the analysis of such diseases. Particularly, this work analyses about the use ofclustering technique and some pre-processing methods applied in the prediction of disease in MRI brain images inthe medical domains. The very famous clustering algorithm Fuzzy C-Means (FCM) is one among the effective algorithm which is used to determine the segmented part of any medical images. This research work is carried out to analyse the MRI brain images to find the tumour affected regions in order to find the classification of MRI images via experimental results. The results produced by this algorithm are proved in an authenticated manner for a set of MRI images. The FCM algorithm is tested with different set of input images and identified cancer area based on its intensity in the MRIimages. The analysis is carried out to determine the highly affected area in the MRI images. The significant area identified through clustering is used for further medical applications by the physicians. The FCM algorithm isanalysed based on their clustering result quality.
Big RDF Data Partitioning and Processing using hadoop in Cloud

Big data business can leverage and bene? t from the Clouds. The processing and partitioning of big data in cloud is an important challenge. In this system big RDF datasets is considered as focus for the investigation. The open data movement initiated by the W3C publishes data in RDF format on the Web. By 2011, the Linked Open Data (LOD) project had published 295 datasets consisting of over 31 billion RDF triples, interlinked by around 504 million RDF link [10]. Such huge RDF graphs can easily reduce the performance of any single server due to the limited CPU and memory capacity. The proposed system will use data partitioning framework called Hadoop, for processing of distributed big RDF graph data. This system uses the Graph Signature, approach for indexing RDF graphs which will improve the efficiency of query processing.
3-Hydroxy-3-methyl glutaryl coenzyme A reductase inhibitor modulates parasitological response to artesunate in falciparum malaria

Statin treatment has been reported to inhibit in vitro growth of Plasmodium falciparum. This study examines the effects of the 3-HMG CoA reductase inhibitor, simvastatin in altering and enhancing parasitological response to artesunate. Patients in attendance at primary health facilities (n=60) suffering from malaria infection were selected for the study and informed consent obtained. Ethical clearance certification was obtained (NHREC/05/01/2008B) and patients categorized into artesunate plus simvastatin (test) and artesunate alone (control) groups. The patients were followed up on days D0, D3, D7, D14 and D28 post-treatment in line with WHO criteria. Graphpad Prism version 4.0 was employed in the analysis of data. Results revealed statistically significant difference in parasitological response between test and control groups (p<0.05). The low level resistance, RI given as 0±0.0%, mid-level resistance RII as 0±0.0%, high level parasitological resistance, RIII as 0.5±0.08% and the late parasitological failure (LPF) as 1.4±0.12% in the test group. The consideration of LPF alongside gives an overall parasitological resistance of 1.9±0.13% in the test group. The above contrasts with RI given as 4.6±0.18%, RII as 6.4±0.31%, RIII as 2.7±0.15% and the LPF given as 5.6±0.17% in the control group. Thus, the consideration of LPF alongside gives an overall parasitological resistance of 19.3±0.44% in the control group. In conclusion, the main implication of the foregoing is that the HMG-CoA reductase inhibitor, simvastatin in combination with artesunate exerts modulating influence on parasitological response to antimalarial therapy.
INTELLIGENT ENERGY MANAGEMENT FOR HYBRID SYSYTEM BASED ON MICROGRID

A microgrid can be operated in on-grid or off-grid, mode using distributed energy resources (DER), among which combined heat power can play an important role in increasing the total energy efficiency. This paper reports the total solutions to the problem of scheduling DER including CHP and their dispatch, called a generation application package. To increase the accuracy of forecasting, this paper proposes the methods of electrical or heat load forecasting and photovoltaic forecasting using a pattern recognition algorithm by k-means clustering. In response of the forecasted data, the formulation and solution of generation scheduling and dispatch of DER are provided in two operation modes of a microgrid. The formulation and the detailed solution of the economic dispatch of the DER are presented. Finally, field tests of the generation applications package were performed and the results shown of the the proposed solutions are very effective in the real fields. This paper proposes the dynamic optimal schedule management method for an isolated or grid-connected microgrid system with renewable power generations such as PV systems and wind power systems, and with back-up and storage sources such as micro-turbine generators and electricity storage, which is able to consider forecast errors with uncertainties of solar radiation, wind speed and local user demands. The energy management system (EMS) structure for accumulation interms of the economic and stable operation in the microgrid is proposed. Optimization problem for the power from micro-turbine generators or the grid and electricity storage in EMS is resolved by dynamic programming (DP) and equal incremental fuel cost method. The proposed method is confirmed by matlab study that used forecast data and realization data of renewable power generations and local user demands. In conclusion, this paper presented a practicable method for the operation of a microgrid. Keywords-Distributed energy resources, Economic dispatch, Generation scheduling, Microgrid EMS
Optimized Multiple Word Radix-2 Montgomery Multiplication Algorithm

-Montgomery multiplication algorithm is used in the implementation of RSA and other cryptosystems based on modular arithmetic. Several improvements have been suggested to increase its suitability for hardware implementation. Radix-2 Montgomery architectures are easier to implement in hardware. In this paper a modified optimized algorithm for radix-2 Montgomery Multiplication is presented which is based on parallelizing the multiplications within each Processing Element and pre-computation of partial results using assumptions regarding the most significant bit of the previous design thereby improving speed. The design has been modeled using VHDL. The VHDL code has been synthesized and simulated using Xilinx ISE 10.1.
Hybrid Fuzzy Fictitious Play based Control for Robotic Manipulators

- In this work, we propose a hybrid controller based on game theory for robotic manipulators. The controller implements the hybrid strategy using fuzzy inference systems on a continuous time two link manipulator. We strive to formulate what may be called a “safely consistent” Markov theory based controller by a gradual mixing of the Markov game based safe control with a fictitious play based consistent control. The controller has been evaluated on a rigid two link manipulator and its performance compared against (i) Markov game based fuzzy controller and (ii) fuzzy Q controller. Empirical results show that the controller can handle nonlinearities and parameter variations quite effectively.
Secure Data Deduplication over Distributed Cloud Server Framework with Effective User Revocation and Load Balancing.

: Nowadays Cloud Computing is an emerging Technology which leads various primitive services like SaaS, IaaS, and PaaS. Data deduplication mechanism is widely used to improve the bandwidth and storage space by removing duplicate copies of data from distributed cloud server.In Multi-owner manner data is stored and shared on distributed cloud server architecture, we have noticed some of the challenging issues, i.e., Users Privacy, Data Integrity, Load Balancing and Dynamic Ownership changes in attributes I,e User revocation Issues. To address the above challenges, we suggested a novel framework for Secure Data Deduplication over Distributed Cloud Server Framework with Effective User Revocation and Load Balancing Management. In our proposed framework, Block level hashing is pragmatic for every outsourced data and distributed into chunks and stored on distributed cloud servers, PoW protocol trappings Secured data deduplication and also provide an optimized solution for user revocation and load balancing issues , our projected approach is effective as the previous schemes while the added computational in the clouds is negligible.
Comparative Histologic and Radiographic Evaluation of Alveolar Ridge Preservation in Esthetic Zone Using Concentrated Growth Factors Associated with Denaturated Albumin (Alb-CGF) and Albumin Coated Bone Allograft

Post-extraction alveolar ridge resorption is an inevitable process are present a challenge in upper anterior esthetic zone. Anterior maxilla present higher degrees of resorption than posterior maxilla do. Socket grafting techniques have been widely used by dentists throughout the world and a great amount of studies have been conducted to examine the effectiveness of several biomaterials. Searching for available, cheap and effective biomaterials to be used in ridge preservation and regenerative surgeries represent a great field for investigation and research, especially in blood extracts and platelets concentrates.
An Adaptive Algorithm for Computing Subspace SKYLINE Queries Over Distributed Uncertain Data

-The skyline queries has received considerable attention from the database community, due to its importance in many applications including multicriteria decision making, preference answering, and so forth. Data collected from different sources in distributed locations exhibit a kind of uncertainty. A skyline query retrieves the set of non-dominated data points in a multi-dimensional dataset. For efficient subspace skyline processing, a notion of subspace dataset is derived, which contains all data elements that are necessary to answer a skyline query in any arbitrary subspace. Then the problem of distributed skyline computation is studied and proposed an adaptive algorithm towards retrieving the global skyline tuples from all the distributed local sites with minimum communication cost.
Makespan Map Reduce Architecture for Efficient Memory Utilization

Makespan is referred to the total execution time taken to process the tasks or the jobs to the completion time.The High performance infrastructure in cloud computing provides extensive applications. These applications are preferred in Big Data. The existing Hadoop Map Reduce network incurs the input output memory overhead. The parallel Map Reduce network provides a parallel scheme to reduce makespan times in computing environments. The outcome provides improvement in the coefficient correlation and makespan time. The various challenges in computing dataset is handling large dataset efficiently and providing large amount of datasets with ease. The comprehensive method is to enhance data analyzation techniques. Massive large amount of data which are spread across the large number of machines needs to be parallelized
Analyzing behavioral activities among the multilingual big-data on the complex network with the help of suggested potential monitoring: Altai family languages in China

— There are myriad cultures and languages in China which require establishment of a multi-language monitoring platform. That is well be developed here, this is not only to control the Complex network Behaviors of multi-language big data but also to ease their handling. We will mainly depend on combination of text mining and natural language processing for development of our proposed system. This will deal with language namely: Uyghur, Kazakh, Mongolian, Uzbek, and Turkmen. The proposed system may be scaled for public uses. The emergence of the online and mobile state of complex networks motivate us to work on developing a versatile and drastic platform for screening and monitoring the languages texts on the communications tools.
Isometric Back Extensor Muscles Endurance and Selected Anthropometric Indices Among Nurses

Background: Isometric back extensor muscle endurance (IBEME) has been associated with back health and health professionals, especially nurses, often present with back problems. Objective: This study investigated isometric back extensor muscle endurance of nurses, and its correlation with selected anthropometric indices and adiposity. Method: Two hundred and four nurses with or without back pain were consecutively recruited from three tertiary health institutions. General body fatness (GBF) was assessed using body mass index (BMI); body composition using percentage body fat (PBF), body fat mass (BFM), lean body mass (LBM) obtained with Jackson-Pollock 4-site formula and sum of skin folds; abdominal (central) adiposity (AA) using proxy indices of waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR). The isometric back extensor muscle endurance was determined using modified Biering-Sorensen test. Results: The pattern of IBEME using percentile values was in the ratio of 1:2:1 (poor: medium: good endurance respectively). All indices of AA showed significant negative correlation with IBEME (p=0.001). Similarly, significant negative correlation exists between IBEME and the measures of GBF, body composition and sum of skin folds (p = 0.001 all cases). ANOVA showed significant difference in IBEME of obese and non-obese nurses (p = 0.001). The difference in IBEME of nurses with and without current back pain was not significant (p = 0.266) although there was negative correlation between IBEME and presence of back pain (r = -0.78; p = 0.266). Conclusions: Nurses studied had mean back endurance lower than normal average Biering-Sorensen times; general and abdominal obesity are associated with poor back muscle endurance.
A Modified Approach For Content Based Image Retrieval System

Content Based Image Retrieval (CBIR) overcomes the traditional text-based image retrieval technology where search is based on automatic or manual explanation of images. For Image retrieval it’s an active research field. Content Based Image Retrieval is a methodology that allows a user to extract an image based on a query from the database. Here, in this work, K Nearest Neighbor (KNN) classifier is used with Jaccard coefficient to find the relevant images. With the use of Jaccard Coefficient the result found are far better than the previous work.
Lineage Switch from Acute Lymphoid Leukemia to Acute Myeloid Leukemia

Lineage switch acute leukemia is a rare condition mostly reported in pediatrics. Despite new advances in the treatment of acute leukemia, switching between lymphoid and myeloid lineages at relapse could worsen outcome of the disease. Awareness of this phenomenon might be beneficial in terms of early detection and applying more aggressive or more specific therapy specially in the context of some genetic alterations. Clinical and biologic data At diagnosis Follow up At relapse Bone marrow blast count 95% lymphoblasts Less than 2% blasts 40% Myeloblasts Flow cytometry HLA-DR+, CD7+ (dim), CD19+, cCD22+(dim), CD38+, cCD79a+ TDT-, MPO-, CD13-, CD15-, CD33-, CD34-, CD65-, CD117MRD undetectable MPO+, HLA-DR+, CD13+ (dim), CD15+, CD33+, CD34+ (partial), CD38+, CD65+ (partial), CD79a+ (dim) TDT-, CD7-, CD19-, cCD22-, CD117Cytogenetics 46,XX,t(11;19) (q23;p13.3) Not tested Inconclusive FISH Positive for KMT2A rearrangement Not tested Positive for KMT2A rearrangement Lumbar puncture Negative Not tested Negative Table 1: Clinical and laboratory features. Citation: Pourabdollah M, Kajal B, Chang H (2019) Lineage Switch from Acute Lymphoid Leukemia to Acute Myeloid Leukemia. J Cancer Sci Ther 11: 185-187. J Cancer Sci Ther, an open access journal ISSN: 1948-5956 Volume 11(5) 185-187 (2019) 186 Figure 1: (A) Bone marrow aspiration at diagnosis; B-lymphoblastic leukemia (B) Peripheral blood at first relapse: AML (C) Bone marrow biopsy at first relapse: AML (D and E) BM aspirate flow cytometry at diagnosis and first relapse, respectively: red dots shows blasts: blue and green dots show normal T-cells and mature granulocytes, respectively. Figure 2: FISH study showed KMT2A (MLL) break apart rearrangement in 11q23 region at first relapse. ISCN: Nucish(MLL×2)(5’MLL sep 3’MLL×1) [20/200]. The signal pattern observed by interphase FISH was consistent with presence of MLL rearrangement in 10.0% of nuclei, with a straight-forward break-apart pattern, with no additional or missing signal. Given the history ot t(11;19) by karyotyping, this result is most in keeping with recurrence of the previous leukemia clone. Figure 3: MPO expression on bone marrow biopsy at first relapse. relapse showed similar phenotype. We do not have her follow-up after that because the patient willing to continue her treatment outside the country.