Miracle-dz/UniFAR-FTUs huggingface dataset:
Indian Sign Language:Study of Existing Approaches

Communication plays a very important role in human life. Human express their ideas with communication. Communication can be done by using different ways. Normally communication is carried out with speech and gesture. But some people don’t understand this language. So, to express their ideas they use a different language called Sign Language (SL). Sign language is used by deaf and dumb people known as differentially abled person. They use special symbols called sign and understand sign language. To recognize sign language different methods and techniques are used. In this paper, a critical review is made about the techniques which are used for recognizing sign into text. In this paper different techniques such as ANN, SVM, HMM are explained which are used in Feature extraction during the Sign conversion process. But every technique is not suitable for dynamic process. The objective of the proposed work is to efficiently recognize the two handed dynamic gesture of Indian sign Language of Deafness children at school level. Children face the problem in making sentences. So automatic recognizer tool using vision based method is proposed in this system. Image of child gesture will capture and then translate the same sign on display and also convert into speech. Data analysis is done using Labview software.
The mechanism of astringency sensation induced by green tea catechins

----------------------------------------------------8 Introduction -----------------------------------------------------9 Materials and Methods -----------------------------------------------------12 Results -----------------------------------------------------15 Discussion -----------------------------------------------------21 Figure Legends -----------------------------------------------------25 Figure 1 -----------------------------------------------------30 Figure 2 -----------------------------------------------------31 Figure 3 -----------------------------------------------------32 Figure 4 -----------------------------------------------------33 Figure 5 -----------------------------------------------------34 Figure 6 -----------------------------------------------------35 ChapterII. Auto-oxidation products of epigallocatechin gallate activate TRPA1 and TRPV1 in sensory neurons. Abstract -----------------------------------------------------37----------------------------------------------------37 Introduction -----------------------------------------------------38 Materials and Methods -----------------------------------------------------40 Results -----------------------------------------------------45 Discussion -----------------------------------------------------53 Figure Legends -----------------------------------------------------56 Figure 1 -----------------------------------------------------65 Figure 2 -----------------------------------------------------66 Figure 3 -----------------------------------------------------67 Figure 4 -----------------------------------------------------68 Figure 5 -----------------------------------------------------69 Figure 6 -----------------------------------------------------70 Figure 7 -----------------------------------------------------71 Figure 8 -----------------------------------------------------72 Figure 9 -----------------------------------------------------73 Figure 10 -----------------------------------------------------74 Figure 11 -----------------------------------------------------75 Figure 12 -----------------------------------------------------76 Figure 13 -----------------------------------------------------77 General Discussion -----------------------------------------------------78 Molecular Structures -----------------------------------------------------82 References -----------------------------------------------------84 Acknowledgments -----------------------------------------------------95
SURFACE FUNCTIONALIZATION OF GOLD NANOPARTICLES FOR ANTIMALARIAL MEDICINES BY SIMULATING THE COUPLING BETWEEN MEROZOITES AND ERYTHROCYTES

Surface functionalized gold nanoparticles that mimic the coupling between merozoites and erythrocytes are proposed for antimalarial medicines and the strategic design is theoretically described. As for the interaction between the gold nanoparticles and the merozoites, the former acts as the adhesive balls for merozoites. This will lead to blocking the invasion of merozoites into red blood cells by suppressing the movement of merozoites on the surfaces of red blood cells.
A Hierarchical Clustering Approach for DBpedia based Contextual Information of Tweets

The past decade has seen a tremendous increase in the adoption of Social Web leading to the generation of enormous amount of user data every day. The constant stream of tweets with an innate complex sentimental and contextual nature makes searching for relevant information a herculean task. Multiple applications use Twitter for various domain sensitive and analytical use-cases. This paper proposes a scalable context modeling framework for a set of tweets for finding two forms of metadata termed as primary and extended contexts. Further, our work presents a hierarchical clustering approach to find hidden patterns by using generated primary and extended contexts. Ontologies from DBpedia are used for generating primary contexts and subsequently to find relevant extended contexts. DBpedia Spotlight in conjunction with DBpedia Ontology forms the backbone for this proposed model. We consider both twitter trend and stream data to demonstrate the application of these contextual parts of information appropriate in clustering. We also discuss the advantages of using hierarchical clustering and information obtained from cutting dendrograms.
Awareness and Practices for Breast and Cervical Cancer among Turkish Women

Cancer is a major public health problem both in our country and worldwide due to its disease burden, fatality and tendency for increased incidence (Ozdemir and Bilgili, 2010; Ersin and Bahar, 2012; Acikgoz and Ergor, 2013; Akgun Sahin et al., 2013). Breast cancer is the most common type of cancer among women with the highest fatality rates (Oluwatosin and Oladepo, 2006; Smith et al., 2006; Ozdemir et al., 2007; Montazeri et al., 2008; Habib et al., 2010; Amosu et al. 2011; Sambanje and Mafuvadze, 2012; Shieh et al., 2012; Koca et al., 2013; Kratzke et al., 2013; Oztunc et al., 2013). Globally, cervical cancer is the second most prevalent cancer and third most common type of cancer after breast and lung cancers among women (Acikgoz et al., 2011; Adekanle et al., 2011; Sogukpinar et al., 2013). In Turkey, breast cancer ranks first with an incidence of 41.6% and cervical cancer is the tenth most common cancer with an incidence of 4.4% (Turkey’s Statistical Yearbook 2010; Turkey’s Statistical Yearbook 2011).
Studies on Isolation of Yeast and Its Comparative Performance for Quality Wine Production from Pineapple and Sapota

Pineapple (Ananas comosus) is a tropical and subtropical fruit and the most economically significant plant in the family Bromeliaceae. Pineapples are having fascinating nutritional benefits, contain good sugar proportion which makes it suitable for wine making (Adaikan and Ganesan,2004). Fruit contain high amount of vitamin C (58%) and manganese, which is important for antioxidant defenses and essential in developing strong bones and connective tissue.
Densities for certain leaves of real analytic foliations

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High-resolution melting curve analysis for infectious bronchitis virus strain differentiation

Background and Aim: Belonging to the Coronaviridae family, avian infectious bronchitis virus (IBV) causes respiratory, reproductive, and renal diseases in poultry. Preventative measures lie mainly in vaccination, while the gold standard for IBV classification and differentiation is based on the sequence analysis of the spike 1 (S1) gene. In this study, we tested a new assay for IBV strain classification that is less expensive and requires reduced time and effort to perform. We carried out a quantitative real-time polymerase chain reaction followed by high-resolution melting (qRT-PCR/HRM) curve analysis. Materials and Methods: In this study, qRT-PCR was conducted on a partial fragment S1 gene followed by a high resolution melting curve analysis (qRT-PCR/HRM) on 23 IBV-positive samples in Jordan. For this assay, we utilized the most common IBV vaccine strains (Mass and 4/91) as a reference in the HRM assay. To evaluate the discrimination power of the qRT-PCR/HRM, we did the sequencing of the partial S1 gene. Results: It was shown that HRM was able to classify IBV samples into four clusters based on the degree of similarity between their melting points: The first cluster exhibited the highest similarity to the 4/91 strain, while the second was similar to the Mass-related IBV strain. Although the third cluster contained the highest number of samples, it displayed no similarity to any of the reference vaccine strains, and, after comparing them with the sequencing results, we found that the samples in the third cluster were similar to the variant II-like (IS-1494-06) IBV field strain. Finally, the fourth cluster comprised one unique sample that was found to belong to the Q1 IBV strain. Conclusion: Our developed qRT-PCR/HRM curve analysis was able to detect and rapidly identify novel and vaccine-related IBV strains as confirmed by S1 gene nucleotide sequences, making it a rapid and cost-effective tool.
GeneXpert® MTB/RIF assay with transbronchial lung cryobiopsy for Mycobacterium tuberculosis diagnosis

Background Early tuberculosis (TB) diagnostic is one of the critical steps to TB control. GeneXpert MTB/RIF has been widely proven for a prompt TB diagnosis. The use of GeneXpert MTB/RIF assay with transbronchial lung cryobiopsy samples may increase diagnostic accuracy. We aim to assess the diagnostic of TB with GeneXpert MTB/RIF assay with transbronchial lung cryobiopsy. Methods Patients with suspected diagnosis of TB and negative smear microscopies, with TB culture and GeneXpert MTB/RIF assay with transbronchial lung cryobiopsy were included in this cross-sectional study. Participants were enrolled from 2016 to 2018 at National Institute of Respiratory Diseases, Mexico. Results We included 54 patients (77.8% males) aged 30 to 65 years. The sensitivity of the GeneXpert MTB/RIF assay with transbronchial lung cryobiopsy was 81.3% (95% CI, 62.1–100%), with a specificity of 100% (95% CI, 100–100%) and a negative predictive value of 92.7% (95% CI, 84.7–100%). Twenty-two patients of the total population have HIV, the sensitivity of the test in these patients was 87.5% (95% CI, 64.6–100%). Also, 28 patients with a peripheral localized lesion which had a solid pattern were identified (51.9%). The sensitivity in patients with peripheral localized lesions was 88.9% (68.4–100%). Conclusions The GeneXpert MTB/RIF assay with transbronchial lung cryobiopsy test is as efficient as broncho alveolar lavage for TB diagnosis. Transbronchial lung cryobiopsy increases a major diagnostic opportunity when the nature of illness is malignant. Transbronchial lung cryobiopsy is efficient in HIV patients, especially in patients with peripheral localized lesion.
A Distributed Approach to Web Text Using Trust Based Ranking

Evaluative works on the Web have transformed into an essential wellspring of conclusions on things, organizations, events, individuals, et cetera. Starting late, various researchers have thought such feeling sources as thing reviews, gathering posts, and web diaries. Nevertheless, existing examination has been revolved around portrayal and summary of evaluations using customary tongue planning and data mining frameworks. A fundamental issue that has been neglected so far is conclusion spam or reliability of online sentiments. In this paper, we inspect this issue as to thing overviews, which are notion rich and are comprehensively used by clients and thing producers. In the past two years, a couple of new organizations in like manner showed up which all out sentiments from thing reviews. It is along these lines high time to study spam in overviews. To the best of our knowledge, there is still no conveyed study on this topic, regardless of the way that Web spam and email spam have been investigated generally. We will see that conclusion spam is completely special in connection to Web spam and email spam, and in this way requires particular revelation methodology. In perspective of the examination of 5.8 million reviews and 2.14 million experts from amazon.com, we exhibit that supposition spam in overviews is sweeping. This paper looks at such spam practices and shows some novel techniques to recognize them.
This paper is included in the Proceedings of the 29th USENIX Security Symposium.

The Android operating system is the world’s dominant mobile computing platform. To defend against malicious applications and external attack, Android relies upon a complex combination of discretionary and mandatory access control mechanisms, including Linux capabilities, to maintain least privilege. To understand the impact and interaction between these layers, we created a framework called B IG MAC that combines and instantiates all layers of the policy together in a ﬁne grained graph supporting millions of edges. Our model ﬁlters out paths and types not in use on actual systems that policy analysis alone would consider. Unlike previous work which requires a rooted device, using only static ﬁrmware and Android domain knowledge, we are able to extract and recreate the security state of a running system, achieving a process cre-dential recovery at best 74.7% and a ﬁlesystem DAC and MAC accuracy of over 98%. Using B IG MAC, we develop attack queries to discover sets of objects that can be inﬂuenced by untrusted applications and external peripherals. Our evaluation against Samsung S8+ and LG G7 ﬁrmwares reveals multiple policy concerns, including untrusted apps on LG being able to communicate with a kernel monitoring service, Samsung S8+ allowing IPC from untrusted apps to some root processes, at least 24 processes with the CAP_SYS_ADMIN capability, and system_server with the capability to load kernel modules. We have reported our ﬁndings to the corresponding vendors and release B IG MAC for the community.
Exploring the weblike structures that underlie everything from friendship to cellular behavior

I f a campaign volunteer shows up at your door, urging you to vote in an upcoming election, you are 10 percent more likely to go to the polls—and others in your household are 6 percent more likely to vote. When you try to recall an unfamiliar word, the likelihood you’ll remember it depends partly on its position in a network of words that sound similar. And when a cell in your body develops a cancerous mutation, its daughter cells will carry that mutation; whether you get cancer depends largely on that cell’s position in the network of cellular reproduction. However unrelated these phenomena may seem, a single scholarly field has helped illuminate all of them. The study of networks can illustrate how viruses, opinions, and news spread from person to person—and can make it possible to track the spread of obesity, suicide, and back pain. Network science points toward tools for predicting stock-price trends, designing transportation systems, and detecting cancer. It used to be that sociologists studied networks of people, while physicists and computer scientists studied different kinds of networks in their own fields. But as social scientists sought to understand larger, more sophisticated networks, they looked to physics for methods suited to this complexity. And it is a twoway street: network science “is one of the rare areas where you see physicists and molecular biologists respectfully citing the work of social scientists and borrowing their ideas,” says Nicholas Christakis, a physician and medical sociologist and coauthor of Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives (2009). The basic elements of a network are simple: it consists of nodes
Coping Strategies in Families with Intellectual Impaired Children at Dagbreek and Moreson Centres in the Khomas Education Region of Namibia

Families with intellectually impaired children experience a great deal of stress which demands various internal and external resources for effective coping. This research aimed at investigating coping strategies in families with intellectually impaired children at the Dagbreek and Môreson Centres in the Khomas Education Region of Namibia. For the purpose of this study, a qualitative approach was adopted. Interviews were conducted to collect data with a sample of ten families whose children attended school at the aforementioned centres. The data collected was analyzed using thematic content analysis. The results indicate that parents and guardians received support from partners, siblings, the extended families, social support from others, professional support as well as spiritual support when having an intellectually impaired child. It was further evident from the above findings that parents and guardians are stressed because of the burden of care they carry in raising their children. The researchers recommend that government and non-governmental organizations intervene in order to assist parents and guardians to care for their children.
Using Bayes Factors to Control for Fairness Case Study on Learning To Rank

The ability to detect and mitigate bias and unfairness is becoming increasingly important especially as machine learning continues to play an increasing role in ﬁnance applications. In this paper we propose the use of Bayes factors to audit for disparate impact in lending decisions, so we can (1) handle small data gracefully and determine whether or not there is sufﬁcient evidence to deem a system as unfair and (2) provide a continuous measure that can form the basis of a control system that throttles the aggressiveness of a post-training correction in order to keep the overall system fair as the system continually operates on newly available data in an online fashion. We perform studies of these Bayes factor algorithms on both real-world and synthetic ranking problems in order to understand their behavior. We ﬁnd that they are better equipped to handle small data, and, unlike previous work, are able to operate in an environment in which we care not just about the fairness of a single ranking, but a collection of them.
5S in Container Terminals – A Framework to Reduce Container Demand Uncertainty

5S is a popular workplace organisation method which uses five Japanese words: seiri, seiton, seiso, seiketsu and shitsuke. This is to describe how a work place is to be organized to improve effectiveness and efficiency. 5S is applied in many fields such as FMCG, health care, banking, automobile industry etc. Container terminals around the world are in urge to gain competitive edge over their competitors and every second of their daily operations have become crucial in current business arena. This is the reason why the major ports worldwide are focussing on various continuous improvements techniques. The purpose of this research is to develop a framework that covers the two aspects of demand uncertainty for imported containers and addressing it with a special container stacking pattern and appointment system (pre gate arrangement). This sorting framework in container yard based on the 5S method also improves the turnaround time (TAT) of the trucks entering the terminal and improves value for their stakeholders eventually.
Improving Business Type Classification from Twitter Posts Based on Topic Model

— Today Twitter, a social networking website, has become a new advertising channel to promote products and services using online social network community. In this study, we propose a solution to recommend Twitter users to follow businesses, which match their interests. Our approach is based on classification algorithms to predict user’s interests by analyzing their posts. The challenging issue is the short length characteristic of Twitter posts. With only a few available key terms in each post, classifying Twitter posts is very difficult and challenging. To alleviate this problem, we propose a technique to improve the classification performance by expanding the term features from a topic model to train the classification models. A topic model is constructed from a set of topics based on the Latent Dirichlet Allocation (LDA) algorithm. We propose two feature processing approaches: (1) feature transformation, i.e., using a set of topics as features and (2) feature expansion, i.e., appending a set of topics to a set of terms. Experimental results of multi-classification showed that the highest accuracy of 95.7% is obtained with the feature expansion technique, an improvement of 19.1% over the Bag of Words (BOW) model. In addition, we also compared between multi-classification and binary classification using feature expansion approach to build the classification models. The performance of feature expansion approach using binary classification yielded higher accuracy than the multi-classification equal to 2.3%, 3.3% and 0.4%, for airline, food and computer & technology businesses, respectively.
Study to Assess Knowledge and Attitude of Hepatitis B among Medical Students

Hepatitis B is an acute systemic infection with major pathology in the liver, caused by Hepatitis B virus (HBV) and transmitted usually by the parenteral route1. Globally more than 2 billion are infected and 350 million are suffering from chronic disease2. About 6% of the world population is carrier for HBV accounting for about 80 million carriers3. Annually about 5,00,000 to 1.2 million people die due to chronic hepatitis, cirrhosis, and hepatocellular carcinoma related to chronic HBV infection4,5.India has point prevalence of 2.1% and carrier rate of 1.7%. Some studies have shown higher carrier state ranging from11% in healthcare worker to 5% in general population6.HBV is highly infectious and is transmitted by percutaneous and permucosal exposure to infected blood and other body fluids7 (i.e. semen and vaginal fluid). Most common routes of transmission include mother-toinfant, unsafe injection practices, blood transfusions and multiple sexual partners8-10.Health professionals are at high risk of getting HBV infection. Approximately 66,000 hepatitis B viral infections are reported per year due to needle stick injuries.It was reported in study on medical students that 30% of reported needle stick injuries occurred in the operation room11,12.World Health Organization has recommended that HBV vaccine should be made part of mass immunization programs as tool for prevention13.