Miracle-dz/UniFAR-FTUs huggingface dataset:
Faecal Microbiota Transplantation as a Treatment to Combat Ulcerative Colitis

Ulcerative colitis (UC) is a chronic inflammatory bowel disease (IBD) affecting the mucosa and submucosa of the colon causing several symptoms. The aetiology is unknown, but it is thought to arise from a deregulation of the immune response against the colonic microbiome. This autoimmune response could be produced by several environmental factors in genetically susceptible individuals. When an IBD happens, the balance of the bacterial population is lost, producing a dysbiosis. Standard treatments are not ineffective at all but a more effective and a less-side-effects treatment is required. Faecal microbiota transplant (FMT) has emerged as a novel approach to regulate the colonic microbiota. The present work is aimed to review and identify the efficacy and safety of FMT and see the different strategies undertaken currently. Several current studies have been collected in order to find different strategies performed. After these studies have been compared, it is possible to see that the efficacy of this treatment reaches approximately a 30%, which is not as promising as expected. That means further studies are required in order to increase the efficacy of FMT for UC and long-term studies remain to be done.
COMPARATIVE STUDY OF RASAPARPATI- AN AYURVEDIC FORMULATION ON INTESTINAL MOTILITY AND ITS AMELIORATIVE EFFECTS ON MUCOSAL DAMAGE IN RAT MODEL OF ULCERATIVE COLITIS

Background: Ayurvedic classics claim the usefulness of Rasaparpati in Grahani diseaeses. As per modern view, Grahani is equated with malabsoption syndrome, disturbed intestinal motility, chronic colitis etc. Various methods described for Shodhana (purification and/or detoxification) of Parada (mercury) used as one of the ingredients in the preparation Rasaparpati. Therefore, in the present study three different formulations of Rasaparpati prepared by SamanyaSodhita, Astasamskarita and AnuvasitaParada and evaluated for its efficacy on intestinal motility and ameliorative effects in modulating the extent and severity of experimental ulcerative colitis in rats. Materials & methods: Effect of Rasaparpati samples on intestinal motility was checked through latency of onset of kaolin expulsion through GI tract in mice. Test drugs treated mice received respective sample of Rasaparpati (32.5 mg/kg, po). The anti-colitis activity was assessed through acetic acid-induced experimental colitis in Charle’s foster rats. Test drugs were administered for 7 consecutive days to respective groups in dose of 22.5 mg/kg body weight of rats. Colitis was induced by intra-colonic instillation of 5 ml/kg of 4% (v/v) acetic acid in rats. The inflammatory response was assessed by effect on severity of ulceration and histopathological study. Result: Rasaparpati prepared by World Journal of Pharmaceutical Research SJIF Impact Factor 8.074 Volume 7, Issue 13, 1255-1262. Research Article ISSN 2277– 7105 Article Received on 16 May 2018, Revised on 06 June 2018, Accepted on 27 June 2018, DOI: 10.20959/wjpr201813-12882 *Corresponding Author
Prevalence of Vitamin D deficiency in Saudi children and risks of iron deficiency anemia

Curr Pediatr Res 2017 Volume 21 Issue 2 205 more than 65%, despite adequate exposure to sun and consumption of dairy products [4]. Anemia is estimated to affect nearly 1.62 billion people around the globe. Many conditions can lead to anemia; including chronic kidney diseases or nutritional deficiencies. However, iron deficiency anemia is considered to be the cause in almost half of the cases [5]. Although iron deficiency anemia affects mainly children, elderly and young women, it can occur in all age groups [5,6].
SYNTHESIS, CHARACTERIZATION AND CONDUCTIVITY STUDIES OF CUPROUS OXIDE NANOPARTICLES

Cuprous Oxide nano particles have received increased attention in the field of research due to their varying properties and their vast applications. The present paper aims to study the preparation of Cuprous oxide nanoparticles and characterize them. Cuprous oxide Nanoparticles were synthesized by the chemical reduction method using Fehling’s solution. Glucose and Sodium Citrate were used as stabilizing agent. The resulting Cu2O nanoparticles obtained was characterized by X-Ray Diffraction studies, U.V Spectroscopy and FTIR. The characteristic peaks in FTIR and UV-Visible spectra confirmed the expected structure of Cuprous oxide . D.C Conductivity Measurements were measured by two probe method. KeywordsFehling’s solution, Glucose, Sodium Citrate, FTIR, UV Spectroscopy and D.C
Adaptive Decentralized Control of a Class of Nonlinear interconnected systems

Summary In this paper, a completely decentralized adaptive fuzzy control is proposed for a class of interconnected nonlinear systems. The proposed controller does not need to know subsystem dynamics and interconnection’s bounds. By combining the fuzzy logic, orthogonal basis functions and sliding mod control technique we propose a new adaptive fuzzy decentralized controller able to approximate unknown subsystems and predict the interconnection terms. Based on Lyapunov stability theorem, the stability of the closed-loop systems is verified and the resultant controller guarantees that all the signals involved are bounded and achieve the H** tracking performance. The simulation results confirm the effectiveness of the proposed control methodology.
The Nature of Expertise in Radiology

This chapter is about expertise in radiology. In the domain of radiology, expertise is largely acquired through massive amounts of case-reading experience. But just as everyone who is taught how to read is not an expert reader, so too everyone who is taught how to read medical images is not an expert image interpreter. The criterion that defines an expert medical-image interpreter is consistent and reliably accurate diagnostic performance. Nothing less will do. For example, despite intensive study and training, it has been shown that radiology residents at the end of residency training are significantly below the average of a large national sample of U.S. radiologists in overall accuracy of screening mammograms for breast cancer (Nodine, Kundel, Mello-Thoms et al., 1999). This finding is not surprising when considered within the framework of research on expertise, which stresses that expert performance in many domains is, statistically speaking, rare, and usually accomplished only after extensive training and practice (Chi, Glasser, Farr, 1988; Ericsson and Charness, 1994). We view expertise as the ability to acquire and use contextual knowledge that differentiates one from one's peers in a particular field. In this sense, expertise is a contextual concept, because the knowledge-structured skills that make an expert in one domain do not transfer to other domains (Nodine and Krupinski, 1998; Patel and Groen, 1991). Moreover, expertise is composed of a sum of different parts, each having a unique influence on the total. For example, in the context of medical image interpretation, an expert is someone that has had more experience, meaning diagnosed more cases, thus providing a broader range of variations of normalcy against which to differentiate abnormal findings. An expert is also someone who has a natural talent to perform within a chosen domain. Again, from a radiological perspective, different radiologists may have seen a similar number of medical images, but some will stand out in their ability to diagnose abnormalities, and perform the task faster. This component of expertise is called by us talent, but there is no doubt that motivational factors may be coloring what is termed talent (Ericsson, 1996, p. 27; Ericsson and Charness, 1994, pp. 728-729).
Effect of Titanium Dioxide Nanoparticles on the Microalgae Chattonella subsalsa

Nanoparticles (Np), as single particles with diameters smaller than 100 nm, represent a subgroup of nanomaterials. Their production and consumption have exponentially increased in recent years since they are used in the consumer products by different industrial sectors, for example, agriculture, construction, cosmetic, food and medicine. Nevertheless, researches on contamination caused by nanoproducts in aquatic environments are still scarce. Titanium dioxide (TiO2) has been used in various cosmetic applications due its ability to absorb UV light. Np-TiO2 in sunscreens has the same composition as the larger white TiO2 particles, but in nanoscale TiO2 is transparent, being more cosmetically elegant. The aim of this work was to evaluate the effect of TiO2 nanoparticles (TiO2- Np) on microalgae Chattonella subsalsa exposed to different concentrations of a sunscreen formulation. C. subsalsa was exposed for 30 minutes and 96 hours to 10, 25 and 50 mgL-1 of TiO2-Np under visible light and analyzed by photographic records, cell counting. The oxidative stress was monitored by specific activity of catalase. In this study, C. subsalsa did not form cell clusters but showed significant increase in catalase production after 96 hours of treatment at concentrations higher than 25 mgL-1. Such observations suggest higher resistance of these microalgae to the exposure to the sunscreen formulation based on TiO2-Np when compared to other algae already described in the literature.
RETRIEVING SECURE ENHANCED AES BASED WATERMARKING DATA COLORING IN CLOUD COMPUTING ATMOSPHERE

--------------------------------------------------------------------- Abstract - Variety of companies the usage of cloud computing has improved dramatically over the last few years because of the attractive capabilities including scalability, flexibility, fast start-up and coffee expenses. offerings supplied over the net are ranging from the use of provider’s software program and hardware to handling safety and other troubles. a number of the biggest challenges at this point are supplying privateness and data protection to subscribers of public cloud servers. An green encryption approach provided in this paper can be used for secure get admission to to and storage of data on public cloud server, moving and searching encrypted records via communiqué channels whilst shielding information confidentiality. security has come to be an critical and vital paradigm in information services that supplied by way of various clouds. information want to be stored and manipulated very confidentially and without information breach.
A Line of Attack to Accentuate FIM in Cloud Computing

Cloud computing can provide infrastructure to massive and complex data of data mining. Data mining is a process of extracting potentially useful information from raw data, so as to improve the quality of the information service. This paper discusses at brief, Apriori algorithm to obtain frequent itemsets and at surficial layer tells how FIMFrequent Itemset Mining is used in cloud computing to analyse data. Then, the paper aims at extracting frequent itemsets using candidate generation with n nodes on Map-Reduce programming model and its development
Risk and Health Effect of Boric Acid 1

Problem statement: Boric acid is a pesticide usually used to kill mites, fungi, plants and insect including fleas, termites, cockroaches and wood decay fungi. Besides, it was also used in many fields such as food preservative, in newborn baby’s nurseries and antiseptic. Many reports indicated that boric acid poisoning occurred due to the misuse of household product and illegal use of boric acid in food product. In this study, the concern issue was the usage of boric acid that may lead to boric acid poisoning. Approach: This review had shown some information for boric acid such as its usage, the existent method for detection of boric acid in food. Besides, this review also discussed about the toxicology and pharmacokinetic of boric acid and the health impact of boric acid on human and animal. Result: Previous studies showed that food products such as yellow noodles contain boric acid. The boric acid level in most foods was different among the factory and the production period. It is due to the lack of standard measurement during the processing. Conclusion: Since boric acid was harmful to human health and may cause poisoning, hence, the control and the awareness of the usage of boric acid especially in food should be increased. There are numerous methods available for quantification of boric acid such as mannitol titration technique, colorimetric method. Accordingly, the analysis of boric acid is essential.
ENERGY MANAGEMENT AND ACTIVE POWER CONTROL OF A HYDRID DISTRIBUTED GENERATION USING GENETIC ALGORITHM

The possibility of meeting the load demands and manage the energy of Okesha, Ado-Ekiti, Ekiti State, Nigeria using a hybrid system of power generation consisting of Wind/Solar PV energy sources in conjunction with the battery energy storage (Fuel cells) which act as a backup to the system is presented. The control mechanism is done through the use of genetic algorithm to optimally allocate the load and to control the charging and discharging of the battery. The results shows that the hybrid energy system through the control mechanism was able manage the energy generated so as to provide sufficient power to meet the optimum needs of the citizen of Okesha area in Ado Ekiti.
Wavelet-Based Automated DNA Sizing of Fragments through AFM Image Processing

: Atomic Force Microscope (AFM) is a procedure to investigate the size of the DNA fragments. In this paper, an algorithm is presented to determine the DNA fragment size from images of DNA molecules. The previous automated approach that uses conventional filters fails to have multidirectional and multiscale properties. This automated approach implements an algorithm on multiscale shift invariant wavelet decomposition to recover the DNA fragments. In order to avoid erroneously evaluated fragments, this algorithm also includes thinning and threshold process on Euclidean norm of wavelet decomposition. The Euclidean norm of multilevel decomposition is able to control the noise whereas the hysteresis threshold ensures proper connectivity. Computer generated and real images are tested for different fragment size in various noise background. The DNA sizing of fragments is compared with already existing method. The improved performances are analyzed using Figure of Merit, accuracy, sensitivity, specificity and false positive rate.
Virtual Construct Reality: Research on Communication Mechanism and Practical Dilemma of Virtual Reality News

: The development of technology that affects news and brings about every change in the media always affects the way the audience perceives news. The organic integration of virtual reality technology and news not only realizes the real simulation of event occurrence by cutting-edge technology, but also the innovation of scene news narrative changes the way of time and space reproduction. The aesthetics and immersion communication which are more omnipotent and “present experience” reflect that virtual reality news has a unique communication mechanism. Virtual reality is redefining the way news is produced in the press, but while providing resources for its narrative, there are still some limitations. This paper takes the unique communication mechanism of virtual reality news as the starting point, examines the practical dilemma and ethical limitations of its communication structure and further proposes the future prospect of virtual reality news.
Education and other socioeconomic determinants of dementia and Alzheimer's disease

The association between low education level and poor peformance on mental status examinations has long been recognized. Several recent community-based prevalence and incidence studies of dementia have shown a strong association between lower education level and the risk of both Alzheimer's disease and dementia. In this article, evidence regarding the status of education and other indicators of socioeconomic status as risk factors for poor cognitive performance, dementia, and Alzheimer's disease is reviewed
Clinical characteristics of triple negative breast cancer in Egyptian women: a hospital-based experience

Purpose: Triple negative breast cancer (TNBC) is an aggressive subtype of breast cancer with poor prognosis despite the high rates of response to chemotherapy. We aim to study the clinical features, factors influencing recurrence and survival outcomes of TNBC patients. Methods: We retrospectively studied the charts of patients with biopsy proven TNBC treated at The Clinical Oncology Department Ain-Shams University between 2009 and 2012. Results: One hundred and forty five patients fulfilled the eligibility criteria. The incidence of TNBC was 10.5% - 15% with a mean of 12% of all breast cancer patients. The follow-up duration ranged from six months to four years. The age range was 26 to 78 years. Infiltrating ductal carcinoma represented 93.1% of the pathologic types. 87% of patients were free of metastases (M0) at presentation. Clinical stages II and III represented 38 and 39.5% of the patients. 66% of patients had modified radical mastectomy. Following surgery, 77.5% of patients received adjuvant chemotherapy while 61% of the patients had adjuvant radiation therapy. Anthracyclines based chemotherapy was given to 52% of patients. Disease-free survival (DFS) of the M0 patients at 20 and 30 months was 92% and 80% respectively. Relapse occurred in 23% of M0 patients. After a mean duration of DFS of 15.1 months, the most common sites of metastases for relapsed M0 patients were pulmonary (44.8%), bone (41.4%), and locoregional (13.8%). The median overall survival (ORS) of patients was 18 months (1 - 45 months), whereas for the M1 group of patients the median ORS was 9 months (2 - 29 months). Conclusion: The incidence, pathological characteristics, and clinical behavior of TNBC were similar to what is mentioned in the literature. Adding taxanes to the chemotherapy protocols and using postoperative radiotherapy were both associated with a significant increase in the mean period of DFS, while did not significantly affect the ORS.
A Literature Review on Opinion Mining and Sentiment Analysis

— Opinion mining also called sentiment analysis, involves edifice a scheme to collect and classify opinions about a product. It is a process for tracking the humor of the people about a certain product. Due to cheap availability of internet, people are more dependent on Internet. People purchase product on internet and gives their opinion about the product. There are lots research has been done in the area of opinion mining or sentiment analysis. In this paper we presented the overview on Opinion Mining or Sentiment analysis. We also given the methods, tools and dataset used by Researchers with their accuracy.
Detection of Fake Biometric: Application to Face Recognition, IRIS and FINGERPRINT

: Spoofing is one of the most problem in developing security world. In future world security is the important to every person. So we need to develop new method to find and rectifies the spoofing datas. In this paper, we present a novel software-based fake detection method that can be used in multiple biometric systems to detect different types of fraudulent access attempts. The objective of the proposed system is to enhance the security of biometric recognition frameworks, by adding liveness assessment in a fast, user-friendly, and non-intrusive manner, through the use of image quality assessment. The proposed approach presents a very low degree of complexity, which makes it suitable for real-time applications, using 11 general image quality features extracted from one image to distinguish between legitimate and impostor samples. The experimental results, obtained on publicly available data sets of fingerprint, iris, and 2D face, show that the proposed method is highly competitive compared with other state-of-the-art approaches and that the analysis of the general image quality of real biometric samples reveals highly valuable information that may be very efficiently used to discriminate them from fake traits. In this process done by mat lab image processing
Multi-Criterion Decision Making and Adaptation for Multi-path Video Streaming in WSNs

------------------------------------------------------------------------ ABSTRACT ---------------------------------------------------------- It is suggested that multi-path routing is advantageous for applications with high traffic data characteristics, especially in the WSN environment. Sensor networks which transmit video will have to respond to the high data characteristic inherent in video data. Throughput, delay and packet loss are important metrics when considering video traffic. This work measures the performance of four multi-path routing protocols, MAOMDV, AOMDV, AntHocNet and MP-DSR in the WSN environment. It is shown that MAOMDV outperforms the other multi-path routing protocols in terms of the aforementioned metrics.
A Pilot Study of a T. terrestris-E. longifolia Formulation to Enhance Endogenous Testosterone Production in Low Testosterone-Level Males

A small pilot study was performed examining the effect of a novel combination of Tribulus terrestris and Eurycoma longifolia (Tongkat) with micronutrients on endogenous testosterone production in men. A group of ten men was followed for four months, measuring total testosterone and estradiol. TSH was measured as a control of metabolic function. At the onset of the study, the average testosterone was 309 ng/dL; average estradiol was 12.3 ng/dL. At the end of four months of testing, the average testosterone had increased to 428 ng/dL; estradiol had increased to 19.8 ng/dL. Over the testing period, total endogenous testosterone production increased by 52.6% (+/5.6%)—without the exogenous introduction or application of any hormone or direct precursor.
AN EFFICIENT TOKEN BUCKET ALGORITHM INCREASING WIRELESS SENSOR NETWORK LIFETIME

-Due to their rapid and promising development, Wireless Sensor Networks (WSNs) have been predicted to invade all domains in our daily life in the near future. However in order to reach their maturity, researchers must find solution to some difficulties which are slowing down the wide spread use of these networks. Wireless sensor network comprise resource sensor nodes that are used to sense the environment, transmit the data to base station for further processing. Only cluster head is used for gathering data from each cluster and transmit that data to base station. Due to unbalancing in clustering process result, thereby causing packet loss, network lifetime, degradation of quality of services metrics. In this study we propose a token bucket algorithm technique that is used to increase the mobility and heterogeneity of the nodes to detect the congestion in network. The experimental result demonstrate that TBACCC achieved better performance in term of data transmission to base station, network lifetime and other quality of services metrics compared with priority based application specific congestion control clustering.