Miracle-dz/UniFAR-FTUs huggingface dataset:
Management of the Tinnitus Patient

ments may have been biased by the knowledge that the patients had received surgical treatment. The article reports our experience with folded pharyngeal flaps and therefore does not address which procedure is best, nor does it answer well which patients should be selected for a particular procedure. Our speech results, biased as they may be because of this study design, are similar to those reported with other procedures for VPI correction.3,10 The folded flap procedure is simpler in design, operative time is probably less, and less obstruction appears to occur than in other procedures. In our practice only 17% of the patients from 1991 to 1995 were treated with the folded flap. Most of the procedures used for VPI correction remain sphincter pharyngoplasties or pharyngeal flaps, but there may be a role for the folded flap in selected patients.
Drug-Resistant Tuberculosis and Lines of Mycobacterium Tuberculosis Circulating in Kinshasa

Drug-Resistant Tuberculosis (DR-TB) is a public health problem in the Democratic Republic of Congo (DRC). However, knowledge of Mycobacterium tuberculosis genotypes is very important for determining the different lines involved in resistance and allowing better control of the disease. Aim: Determine the frequency of drug-resistant strains and the different lines circulating in the City. Material and methods: The descriptive survey covers all the family contacts of MDR-TB TB patients for whom a positive sputum culture on LJ medium was obtained in the Mycobacteria Laboratory of the University of Kinshasa between 2011 and 2017. The demographic and Epidemiological data concerning patients were collected via a registry notebook. The strains were identified by standard tests and the antibiogram was performed to obtain a chemosensitivity profile. The strains were transferred to IMT Antwerp for the genotyping test (Spoligotyping). Results: Of 240 samples from household contacts of MDR-TB patients, 29 isolates were identified (12.1%). Twenty-three (79%) were strains of Mycobacterium tuberculosis and 6 (21%) M. africanum. Overall, 16 strains of Mycobacterium tuberculosis (55.2%) were resistant to at least one antituberculosis drug. Of the 16 drug-resistant strains, 15 (6.3%) were MDR-TB, of which 10 (4.2%) preXDR and 1 (0.4%) XDR-TB. No monoresistance to rifampicin and Isoniazid was detected. The spoligotyping profile obtained shows the presence of 4 main lines namely: AML (43.7%); West Africa (31.3%); Haarlem (12.5%) and Ugandal (12.5%). Conclusion: The results of our study show a very high primary resistance and the presence of multi and ultra-resistant strains in the community. The study also shows that there is considerable genotypic diversity among M. tuberculosis isolates in Kinshasa.
Optimization of Cultural Condition and Partial Characterization of Alkaline Amylase from Bacillus sp

Alkaline amylase producing Bacillus sp. was isolated from Mangrove soil sample. Optimization of cultural conditions revealed that the maximum amylase production by the isolate cultivated in basal media containing soluble starch reached at 72 hrs, at pH 9.0 and 50C the levels of the amylase production detected in culture supernatants varied greatly with the type of carbon and nitrogen sources. Starch, lactose and maltose stimulated amylase production, with highest at 2% starch concentration. 1% peptone was found to be best for amylase production. Partially purified amylase exhibited specific activity of 2776.35 U/mg which corresponds to 5.40 purification fold and 60% yield. The optimum activity of partially characterized amylase was found at temperature 70Cand at pH 9.0. CaCl2 and MgSO4 had a stimulatory effect on the amylase activity and Tween 40 was found to stimulate the activity. Such alkaliphilic amylase can be exploited for industrial application.
Survey on Clustering Algorithm for Sentence Level Text

— Clustering is an extensively studied data mining problem in the text domains. The difficulty finds numerous applications in customer segmentation, classification, collaborative filtering, visualization, document organization, and indexing. In text mining, clustering the sentence is one of the processes and used within general text mining tasks. Several clustering methods and algorithms are used for clustering the documents at sentence level. In this article, the sentence level based clustering algorithm is discussed as a survey. The main goal of this survey is to present an overview of the sentence level clustering techniques. This demonstration of these techniques is used to obtain the efficient scheme for clustering for sentence level text. We can obtain the more efficient method or we may propose the new technique to overcome the problems in these existing approaches. This survey article is intended to provide easy accessibility to the main ideas for non-experts.
Another Story of Human Atherothrombosis

In this opinion review, we aim at presenting an integrative picture of human atherothrombosis pathophysiology, taking into consideration its phylogenic determinants and chronological aspects. We first discuss how systemic arterial pressure, inherited from the acquisition of peripheral resistances and conductance artery multi-embranchments throughout evolution, generates outward convection of plasma molecules and particles through the arterial wall and favors collision of circulating cells with the wall. We then present the various responses triggered by the accumulation of cholesterol and blood cells in the arterial wall, with a more particular focus on the role played by vSMCs in triggering those responses in the early stages of the atheromatousdisease. The contribution of SMC phenotypic plasticity to the formation of foam cells, intraplaqueefferocytosis, oxidative stress, and angiogenesis is notably outlined. The mechanisms of plaque evolution towards vulnerability, erosion, and rupture are also discussed. Finally, the relationships between local hemodynamics and atheroma evolution towards a given vascular pathology is illustrated by the presentation of vascular territory-specific diseases including coronary and carotid atherosclerosis, peripheral artery disease and abdominal aortic aneurysms.
Methodology for Hiding Sensitive Information and Pruning Infrequent Itemsets for Association Rule Mining

Association Rule Mining plays a major role in current research. This classical algorithm extracts frequent itemsets from large dataset which identifies Correlation between different items in the Transaction. Main issue in this algorithm is doubling the data scanning time. Many algorithms are proposed to find association rule and avoid complexity. This paper highlights two algorithms such as Novel Pruning approach for association rule mining and Hiding of Sensitive Association Rule by using improved Apriori algorithm. Finally, Suggested an integrated approach for Filtering Infrequent Itemsets and hiding Sensitive Association Rules using Same method which removes infrequent itemsets for hiding sensitive items in the Dataset.
A Descriptive Study On The Use Of Nanomaterials As Corrosion Inhibitors In Oil And Gas Industry

In oil and gas industry, corrosion is electrochemical caused by the presence of some highly corrosive medium like CO2, SO2 and free water. It has become one of the most challenging problems leading to the loss of billions of money every year. Use of Corrosion inhibitors is the most popular corrosion mitigation technique. Organic corrosion inhibitors containing N, S and O atoms offer excellent inhibition efficiency, but may be toxic either in their synthesis or in application. However, nanomaterials, a new emerging alternative for corrosion inhibitors with excellent biocompatibility and inhibition efficiencies has arise as a solution to the problem of toxicity. Nanoparticles with large surface area are expected to form a uniform film on the metal surface, thereby making them advantageous over other organic inhibitors. This paper presents an evocative account of nanomaterials used as corrosion inhibitors in the field of oil and gas industry.
Edge Detection Based on Improved Non-Maximum Suppression Method

Semantic Segmentation and edge detection are important research fields for scene understanding in computer vision. A hierarchical framework called Contextual Hierarchical Model (CHM) was proposed for semantic image segmentation and edge detection. It learned contextual information using a Logistic Disjunctive Normal Networks (LDNN) classifier. The class average accuracy of CHM was improved by defining a global constraint using Conditional Random Field (CRF), Hierarchical CRF (HCRF), Higher order HCRF (HHCRF). The LDNN was improved by using proximal gradient method which minimizes the quadratic error and it had high convergence rate than gradient descent method. The weight and bias terms of LDNN was optimized by using Grey Wolf Optimization algorithm (GWO) which improves the classification accuracy and it also reduces time complexity of LDNN. During the edge detection using CHM, a multi-scale strategy was adopted to compute edge maps. A Non-Maximum Suppression (NMS) was used to obtain the thinned edges in images. However, it is a post-processing step which consumes additional time in edge detection process. So, in this paper, the edge detection is interpreted as a classification problem where the thinned edges in images are obtained without any post-processing step. It reduces the time consumption. Two key ingredients such as loss and joint processing are included in NMS to improve the detection of thinned edges. The loss is used to penalize the double edge detection and the joint processing is used to reduce the loss of edge detection by including a pair features as additional feature for edge detection. The pair features, Haar, Histogram of Gradient (HOG) and SIFT features are given as input to LDNN to detect the edges that improve the efficiency of CHM based edge detection.
International Journal of Agriculture and Environmental Research

The objective of the research was to obtain the method of porang’s bulbil dormancy breaking. The source of porang’s bulbils were gained from Dusun Krajan Desa Rejosari Kecamatan Bantur Kabupaten Malang. The diameter and weight of porang’s bulbils were 2-3 cm and 3-5 g respectively. The research design was Completely Randomized Design. Porang’s bulbils were storaged in the photoperiod cabinet during one month. The levels of photoperiod were 0, 8, 12, 16, 20, and 24 hours/day. The light intensity of TL lamp was 400 lux. As a control it was used porang’s bulbils that it was placed in the dark cabinet without light. The treatments were conducted during one month. Repetition was four times. The success of dormancy breaking was observed through the bulbil capasity to grow that it was identified by bud emerged. Data were analyzed by ANOVA and were continued by Duncan test (α = 0.05). The results showed that photoperiod 8, 12, 16, 20, and 24 hours/day during one month could stimulate porang bulbil dormancy breaking. Photoperiod 24 hours/day emerged buds of porang 8.83 ± 3.07. Photoperiod 20 hours/day emerged the height of buds 3.42 ± 1.57 mm and the diameter of buds 3.75 ± 1.35 mm. Photoperiod treatment promote breaking of porang’s bulbil dormancy.
The Relationship between Psychopathy Traits, Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder in Forensic Populations: A Systematic PRISMA Review Running Head: Psychopathy and Neurodevelopmental Disorders in Forensic Populations

Background: Numerous studies investigate the rate of neurodevelopmental disorders in forensic populations. Studies have also investigated the rate of psychopathy in such settings. However, there appears to be a paucity of studies looking at both of these (co-morbidity between these disorders) and the possible relationships between the two in forensic populations. Method: Presented here are the findings from a systematic review conducted, following PRISMA guidelines, of the peer-reviewed literature. The review identified studies that investigated the rate and/or relationship of neurodevelopmental disorders (Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorders) and psychopathy in a forensic sample population without relying on previous childhood diagnosis of neurodevelopmental disorders. Results: Twenty-two studies were identified which investigated the rate and/or relationship of neurodevelopmental disorders and psychopathy in a forensic sample population without relying on previous childhood diagnosis of neurodevelopmental disorders such as attention-deficit/hyperactivity disorder and autism spectrum disorders. Conclusion: The findings highlight the need for the development of screening and diagnostic tools especially targeted at offenders and validated for this purpose.
BIOSYNTHESIS OF SILVER NANOPARTICLES FROM MORINDA COREIA BUCH.-HAM. AND IT’S ANTIBACTERIAL ACTIVITY

The synthesis of nanoparticles has become the matter of great interest in recent times due to its various advantageous properties and applications in various fields. Though physical and chemical methods are more popular for nanoparticle synthesis, the biogenic production is a better option due to eco-friendliness. Morinda coreia leaf ethanol extracts was screened for the synthesis of Silver nanoparticle using 0.1mM concentration of silver nitrate. The peak of 482 nm in UV-Vis Spectroscopy confirmed the presence of silver nanoparticle synthesis. Biosynthesized silver nanoparticles characterized by Scanning Electron Microscope (SEM), Fourier Transform Infra Red Spectroscopy (FT-IR) and Energy-dispersive X-ray spectroscopy (EDX). The silver nanoparticles around 90 nm were formed. Biologically synthesized silver nanoparticles were further examined for antimicrobial activity against both Gram-negative and Gram-positive bacteria. It was observed that a clear zone of growth inhibition was against in E. coli, Vibrio cholerae, Staphylococcus aureus, Bacillus sps, Pseudomonas aeruginosa, Klebsiella pneumoniae, Serratia marcescens, Proteus vulgaris, Staphylococcus mutans and Salmonella typhi confirms the antibacterial property of biologically synthesized nanoparticles. INTRODUCTION: Nanotechnology is foreseen to significantly influence science, economy and everyday life in the 21st century and also to become one of the driving forces of the next industrial revolution 1 . The nanomaterials can be synthesized by physical, chemical and biological methods. Although the physical and chemical methods produce pure, well defined particles, these methods are not cost effective and ecofriendly. This drawback can be exhausted by biological method where the microorganism or plant extracts or plant biomass is used as reducing agent 2, 3 . Now-a-days biological synthesis of metallic nanoparticles is gaining importance as it is reliable and ecofriendly. QUICK RESPONSE CODE DOI: 10.13040/IJPSR.0975-8232.5(12). 5321-27 Article can be accessed online on: www.ijpsr. com DOI link: http://dx.doi. org/10.13040/IJPSR.0975-8232.5(12). 5321-27 Silver nanoparticles have found tremendous applications in the field of high sensitivity biomolecular detection and diagnosis, antimicrobials and therapeutics, catalysis and microelectronics 4 . However, there are many problems and toxicity of using metal oxide nanoparticles on the human health. The development of new chemical or physical methods has resulted in environmental contaminations since the chemical procedures involved in the synthesis of nanomaterials generate a large amount of hazardous byproducts 5 . Morinda coreia belongs to the family Rubiaceae. It is one of the largest and the most widely distributed plants in approximately 400 genera in this family. It is known by the Vernacular (Tamil name) as Nuna. This species is found predominantly in the tropical countries. It is found in dry forest throughout the greater part of India and it is also found in the region southwards to Ceylon and
Digital Image Watermarking using LSB Technique

- Watermarking belongs to hide particular information, so that you can easily detect any tamper detection . It is used for confidenality, authentication and copy right protection. In this paper watermarking is done with the help of least significant bit technique (LSB). As LSB technique is used as it has less effect on image. This new algorithm is using LSB of original image and i doing ‘&&’ operation with MSB of watermark image, and same watermarked image is then extracted from host image by replacing its LSB with MSB and making its LSB zeroes, so then watermark is extracted from host image
Nephrogenic adenoma of urinary bladder following intravesical BCG therapy

Nephrogenic adenoma is a rare benign disease in the urinary tract most frequently in the urinary bladder. Though the etiology is still not established but its association with trauma, urinary tract infection , stone disease, radiation therapy, previous bladder surgery and foreign bodies has been reported. But nephrogenic adenoma following intravesical therapy is rarely reported in the literature. Here we report a case of nephrogenic adenoma of urinary bladder in a 60-year old male patient two years after intravesical BCG therapy for transitional cell carcinoma of the urinary bladder.
Efficient Reed Solomon Decoder Based on pRiBM Algorithm for Effective Digital Signal Reception

— In this paper, Reed Solomon (RS) decoder adopting the pipelined reduced inversion free Berlekamp Massey (pRiBM) algorithm is proposed. This Reed Solomon decoder is designed by equipping the Syndrome Computation unit, Key Equation Solver (KES), Chien search and Forney algorithm unit. The RS decoder requires long latency for decoding large number of test vectors. Therefore, the Reed Solomon decoder using pipelined reduced inversion free Berlekamp-Massey algorithm is used to reduce latency. The Reed Solomon decoder is simulated with the Verilog HDL language using Xilinx 9.1 tool. The total delay obtained is 99.464 ns.
Sources and Factors Associated with Caffeine Consumption in the Year Previous and its Modification during the First Half of Pregnancy

Objetive: To identify caffeine sources and the relationship between socioeconomic, anthropometric, obstetric and lifestyle factors and caffeine consumption during the year before pregnancy, plus its modification during the first half of pregnancy. Methods: A cross-sectional study carried out among 1,175 pregnant women. Information was obtained by personal interview. Polytomous regression model was used to identify factors associated with high consumption of caffeine (>200 mg of caffeine a day). Results: During the first half of pregnancy 95.3% of pregnant women consumed caffeine, with an average intake of 72.6 mg/day (DE 92.7), whereas pre-pregnancy averaged 150.1 mg/day (DE 141.1). The 9.9% having high consumption, which after adjusting for other variables, showed associations with primary education, smoking and drinking alcohol during pregnancy, and more number of previous spontaneous abortions and children alive. An increase in the consumption of decaffeinated coffee (16.5%) and diet caffeinated cola drinks (3.8%) was observed with respect to the previous year and, as was a reduced intake of coffee (36.2%) and cola drinks (30.2%). Conclusion: Caffeine consumption during pregnancy is widespread; and high consumption is associated with women using tobacco and alcohol, a lower educational level, and higher parity as well as more previous spontaneous abortions.
A Novel Approach to Identify a Singer in a Video Song using Spectral and Cepstral Features

The Automatic Annotation of a Singer in a Video Song System enables the user to search for their favorite Singer’s video song from video store. The proposed methodology performs the search in a video store by comparing the content of the video rather than the user’s textual query and tags associated with the videos. We make an effort for identifying underlying Singer in the video songs by mining their audio features, frequencies and onset values. Various algorithms, filters and classifiers are used to implement this system, namely to mention a few Chebychev infinite-impulse response(IIR) filter , inverse comb filter, Naive Bayes, Sequential Minimal Optimization (SMO) Classification Algorithms etc. This paper focused on the extraction of information about the video contents automatically. The extracted information can serve as an initial step for various data access methods such as surfing, searching, comparison, and classification. It is worth mentioning that annotating music information in a video is an emerging task and was not much covered in past research papers. In the proposed System three Singers namely S.P. Balasubramaniam, Susheela and Swarnalatha are selected for analysis. For each Singer 100 video songs of length 10 seconds duration are taken. From these video songs the vocal track alone are extracted by using IIR digital filter and inverse comb filter. Mathematical functions are applied to calculate the Spectral and Cepstral features from the extracted signal. These features are applied to five classifiers for classification. This System gives a maximum of 95% accuracy in identifying a Singer in a video song using SMO classifier.
Review of Microstrip Patch Antenna Using UWB for Wireless Communication Devices

As per Microstrip Patch antenna (MPA) provide low profile and low volume, so it is use in a now a days communication devices. In this paper study of past few year shows that most of labour on MPA is targeted on planning compact sized microstrip antenna. A novel ultra-wideband printed monopole antenna can be used in wireless communication devices. In this speedy dynamical world in wireless communication dual or multiband antenna has been playing a key role for wireless service needs application. In this paper, we study microstrip patch antenna design with form of substrate, feed techniques and slots for UWB based system applications.
Framework Based Materialized View Evolution: A survey

: Data Warehouse evolution is a critical problem in present scenario due to perpetual transactions (data changes) and change in data warehouse structure (schema changes) emerging out of persistent evolving users' requirements. Handling all type of changes properly is an urgent process. It forms the core component for modern decision support systems. Therefore DW has to be refreshed intermittently as indicated by different type of evolution in information sources. We refer to the problem of evolving an appropriate set of views as the materialized view evolution problem. Many different materialized view evolution methods have been proposed in the literature to address this issue. The present paper provides a survey of materialized view evolution methods. This paper aims at studying the materialized view evolution in relational databases and data warehouses as well as in a distributed setting. It defines an evolutionary approach for highlighting the materialized view evolution problem by identifying the main dimensions that are the basis in the classification of materialized view evolution methods. Firstly, we proposed three main dimensions namely; (i) Framework, (ii) Architecture and (iii) Model/Design Model. Secondly, we classified the materialized view evolution methods according to several dimensions, namely; (i) View Evolution, (ii) Basic View Maintenance, (iii) Incremental VM, (iv) Self Maintainable Maintenance, (v) Not self Maintainable Maintenance, (vi) View selection, (vii) View Synchronization, (viii) View Adaptation. Based on this classification, this study reviews most of the framework based materialized view evolution methods by identifying respective potentials and limits.