Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of the Soladey TiO 2 Semiconductor Toothbrush Performance

Recently there has been some media talk about [1] a toothbrush that uses a light activated TiO2 semiconductor to decrease dental plaque and eliminate the need for toothpaste. The toothbrush known as the Soladey-2 has a dedicated website [2,3] with testimonials and dentist endorsement. Despite heavy advertisement, the question posed before buying such a device is how well it stacks up against a conventional toothbrush. Fortunately, the Soladey site offers links to research and clinical trials proclaiming triumph over the conventional toothbrush. However, despite a thorough reading and analysis of the research and clinical trials, more questions are raised about the overall effectiveness of the Soladey-2 than are answered.
1 FT / P 202 Progress in Development of KSTAR Heating and Current Drive Systems for Long Pulse Operation

The heating and current drive systems for the KSTAR tokamak are being developed to support long pulse, high β, advanced tokamak fusion physics experiments. The heating and current drive systems consisting of neutral beam injection (NBI), ion cyclotron waves (ICRF), lower hybrid waves (LHCD) and electron cyclotron waves (ECH/ECCD) have been designed to operate for 300 sec and to provide a range of control functions including current density and pressure profile control. Development of components including key technologies required for high power, long pulse operation has been on going. Substantial progress in the engineering area, has been made on RF antennas, ion source, and power supplies.
Digital Literacy With EFL Student Teachers : Exploring Indonesian Student Teachers ’ Initial Perception About Integrating Digital Technologies Into a Teaching Unit

Research found that many student teachers are active users of digital technologies yet they are reluctant to make use of digital technologies for literacy teaching purposes. Efforts to prepare student teachers for technology integration are pressingly needed. Also needed is data that informs us about student teachers’ participation (engagement) with digital technologies and how they might utilize those technologies for literacy teaching. The article reports on a classroom research project that explored Indonesian student teachers’ initial perception about the use of digital technologies for EFL teaching. For one semester, the first author taught a course to a group of student teachers at a state Islamic university in Jakarta in which they learned conceptual and practical knowledge about digital technologies in teaching and learning. The student teachers were tasked to explore digital technologies available and had to integrate those technologies into teaching units contained in a junior high English textbook. Popular digital technologies selected included Facebook, blogs, Skype, and WhatsApp. Each offers unique potential to facilitate and enhance language learning. Student reflections provided insight into their considerations for their digital technology selections.
> Semantic Web Use Cases and Case Studies Case Study : Semantic tags

Faviki is a social bookmarking tool that allows users to annotate the contents of web pages by Wikipedia concepts. Using Wikipedia as a source of a universal controlled vocabulary, it provides so-called ‘semantic tags’ which are standardized and computerinterpretable. In this way, Faviki is able to solve some common problems related to classic ‘folksonomy’ tags, in particular: polysemy, synonymy, different lexical forms, and lack of a commonly agreed meaning of terms. In a wider perspective, Faviki aims to speed up the transition from Web 2.0 to the Semantic Web.
Advancement of maxillary anterior segment by distraction osteogenesis for severe maxillary retrusion in cleft lip and palate

Background Maxillary anterior segmental distraction osteogenesis (MASDO) is a recently used method for correction of severe maxillary retrusion in cleft lip and palate (CLP) patients. In this article, we evaluated the feasibility of MASDO using rigid external distraction (RED) and rapid orthodontic tooth movement to correct severe maxillary retrusion in CLP patients. Methods Fourteen male and five female complete CLP patients between the ages of 18 and 22 years (mean age 19.7 years) at the time of distraction, with severe maxillary retrusion, were treated with the rigid external distraction (RED) device after maxillary anterior osteotomy. Rapid orthodontic tooth movement was started one week after the MASDO. Standard profile photographic, cephalometric films were obtained preoperatively and after therapy. Sella‐nasion‐point A (SNA) and Sella‐nasion‐point B (SNB) angles were measured to reflect changes in maxillary and mandibular position, and the distance between anterior nasal spine and posterior nasal spine (ANS‐PNS) was measured to represent the maxillary dental arch length. Results The SNA angle increased from an average of 74.6° (range 73.0°‐78.0°), preoperatively, to 83.4° (range 78.6°‐88.0°) after the RED was removed (P <0.01). All cases of severe maxillary retrusion were improved. Nine patients' profiles became harmonious after therapy. One patient had a bimaxillary protrusion deformity and needed further surgery. The regenerate alveolar crest and edentulous space on both segments was almost completely eliminated after rapid orthodontic tooth movement. Conclusion MASDO with the RED system and rapid orthodontic tooth movement is a successful way of correcting severe maxillary retrusion in CLP patients.
Assessing Water Content in Insulating Paper of Power Transformers

Moisture content of solid insulation is a persistent concern for a power transformer as it causes several detrimental effects on the insulation’s integrity. Moisture content assessment is often derived from a single oil sample submitted to a Karl Fischer test in laboratory although it is recognized that a single oil sampling cannot reveal the moisture content in paper if the oil temperature is unstable. On-line monitoring systems are available and continuous recording allows integration of temperature variations and the computation of a dependable value for moisture content in paper. Collection of data over a long period allows calculation of moisture content of the various components of the solid insulation system even if they are at different temperatures and characterized by different diffusion rates. Field data is presented for an application on a large power transformer along with the model used to derive the water content of insulating paper from water content in oildespite continuously varying temperatures. Index Terms — liquid-immersed power transformers, monitoring, insulation system, partition curves.
Modification of Streptococcus mutans Cnm by PgfS Contributes to Adhesion, Endothelial Cell Invasion, and Virulence

ABSTRACT Expression of the surface protein Cnm has been directly implicated in the ability of certain strains of Streptococcus mutans to bind to collagen and to invade human coronary artery endothelial cells (HCAEC) and in the killing of Galleria mellonella. Sequencing analysis of Cnm+ strains revealed that cnm is located between the core genes SMU.2067 and SMU.2069. Reverse transcription-PCR (RT-PCR) analysis showed that cnm is cotranscribed with SMU.2067, encoding a putative glycosyltransferase referred to here as PgfS (protein glycosyltransferase of streptococci). Notably, Cnm contains a threonine-rich domain predicted to undergo O-linked glycosylation. The previously shown abnormal migration pattern of Cnm, the presence of the threonine-rich domain, and the molecular linkage of cnm with pgfS lead us to hypothesize that PgfS modifies Cnm. A ΔpgfS strain showed defects in several traits associated with Cnm expression, including collagen binding, HCAEC invasion, and killing of G. mellonella. Western blot analysis revealed that Cnm from the ΔpgfS mutant migrated at a lower molecular weight than that from the parent strain. In addition, Cnm produced by ΔpgfS was highly susceptible to proteinase K degradation, in contrast to the high-molecular-weight Cnm version found in the parent strain. Lectin-binding analyses confirmed the glycosylated nature of Cnm and strongly suggested the presence of N-acetylglucosamine residues attached to Cnm. Based on these findings, the phenotypes observed in ΔpgfS are most likely associated with defects in Cnm glycosylation that affects protein function, stability, or both. In conclusion, this study demonstrates that Cnm is a glycoprotein and that posttranslational modification mediated by PgfS contributes to the virulence-associated phenotypes linked to Cnm.
Wind Power Electricity: The Bigger the Turbine, The Greener the Electricity?

Wind energy is a fast-growing and promising renewable energy source. The investment costs of wind turbines have decreased over the years, making wind energy economically competitive to conventionally produced electricity. Size scaling in the form of a power law, experience curves and progress rates are used to estimate the cost development of ever-larger turbines. In life cycle assessment, scaling and progress rates are seldom applied to estimate the environmental impacts of wind energy. This study quantifies whether the trend toward larger turbines affects the environmental profile of the generated electricity. Previously published life cycle inventories were combined with an engineering-based scaling approach as well as European wind power statistics. The results showed that the larger the turbine is, the greener the electricity becomes. This effect was caused by pure size effects of the turbine (micro level) as well as learning and experience with the technology over time (macro level). The environmental progress rate was 86%, indicating that for every cumulative production doubling, the global warming potential per kWh was reduced by 14%. The parameters, hub height and rotor diameter were identified as Environmental Key Performance Indicators that can be used to estimate the environmental impacts for a generic turbine.
The Co-Curriculum and the Core Curriculum: Exploring the Relationship Between Student Involvement and Academic Outcomes

Higher Education leaders have long been interested in the relationship between the curricular and co-curricular components of a four-year undergraduate institution (Fried, 2007). Leaders of traditional four-year residential universities are especially interested in this relationship as a potential value-added factor supporting their intentionally studentfocused, highly interactive program. Astin’s (1999) theory of student involvement points out that the more energy a student exerts in her or his experience, the better she or he will perform academically. Astin’s theory applies both within and outside of the classroom. Kuh’s seminal research (1995) focused on the effects of student engagement in extracurricular activities outside of the classroom and with faculty and staff in levels of student learning. His research confirmed the powerful impact of the co-curriculum on student learning (Kinzie & Kuh, 2007). This research project was designed as a quantitative correlational study for the purpose of measuring the impact of the co-curriculum as an integral component in student academic success. It examined a group of 180 seniors at a private, liberal arts, four-year institution in the Midwest. The researcher collected and scored student essays, which measured student ability in academic outcomes. Students also completed a survey asking questions about involvement in seven areas of campus: residence hall activities, all-campus events, leadership, multicultural, spiritual, intellectual, and athletics. Scores from the essays and the surveys were matched and then analyzed. It was found that
Modification of the disparity-depth relationship as a result of exposure to conflicting cues.

Prominent among investigations of intramodal discrepancy is the series of experiments reported by Wallach et al.2 Wallach's Os viewed a rotating tridimensional, skeletal wire-form which was presented for observation in a mirror telestereoscope. " Rotation of the form provided the continuous optical transformations that produce the kinetic depth effect (KDE) and accurate depth-perception. " At the same time, the telestereoscopic arrangement doubled the disparity, leading to significant overestimation of depth. In the standard experiment, O provided initial estimates of the depth and height of a stationary form viewed telestereoscopically. Then O observed the form rotating in the telestereoscope for 1-10 min. intervals. After training, O repeated the depthand height-judgments while the form was stationary. The main finding was a significant decrease of the depth-estimate, as a linear function of log training time. The height-judgments did not change. Wallach et al. considered the altered depth-estimates to be the result of perceptual learning. The existence, during training, of a consistent discrepancy between the depth specified by disparity and KDE resulted in a modification of the disparitydepth relationship. A given degree of disparity, which elicited a specific magnitude of perceived depth before training, elicited a different (reduced) magnitude of perceived depth after training. O was presumed to have learned a new relationship between disparity and depth.
Towards augmenting crisis counselor training by improving message retrieval

A fundamental challenge when training counselors is presenting novices with the opportunity to practice counseling distressed individuals without exacerbating a situation. Rather than replacing human empathy with an automated counselor, we propose simulating an individual in crisis so that human counselors in training can practice crisis counseling in a low-risk environment. Towards this end, we collect a dataset of suicide prevention counselor role-play transcripts and make initial steps towards constructing a CRISISbot for humans to counsel while in training. In this data-constrained setting, we evaluate the potential for message retrieval to construct a coherent chat agent in light of recent advances with text embedding methods. Our results show that embeddings can considerably improve retrieval approaches to make them competitive with generative models. By coherently retrieving messages, we can help counselors practice chatting in a low-risk environment.
Analysis of Existing Information Retrieval Systems for Kannada : Conjectures from User Perspective

Information Retrieval in the Indian languages is still evolving. There are at least a few websites which support searching in Indian languages. In this paper, we will analyze the existing Information Retrieval systems available for searching Kannada text. Currently, there are a few known websites which support Kannada Information Retrieval from the users point of view. Hence, we run a set of queries on these IR engines and try to analyze the results. From this analysis, we also list out some conjectures about the available features and the shortcomings of each of these IR systems. The conjectures will mainly concentrate on relevance of the the ranking of the results, the evidence of the stemming algorithms, the indexing of complex terms and handling of the stop word. We will also analyze the influence of the data sets on the results.
Tautomerism in azo dyes : Border cases of azo and hydrazo tautomers as possible NMR reference compounds

In order to meet the need for NMR reference compounds in the study of tautomeric azo dyes, two series of azo dyes, derived from 3-methyl-1-phenyl-4-(phenyldiazenyl)-1H-pyrazol-5-amine and 5-methyl-2-phenyl-4-(2phenylhydrazono)-2,4-dihydro-3H-pyrazol-3-one, have been studied by using molecular spectroscopy (UV–Vis and NMR) and quantum-chemical calculations (M06-2X/TZVP) in solution. The results clearly indicate that 3methyl-1-phenyl-4-(phenyldiazenyl)-1H-pyrazol-5-amines are present in pure azo tautomeric form, while 5methyl-2-phenyl-4-(2-phenylhydrazono)-2,4-dihydro-3H-pyrazol-3-ones exist as hydrazone tautomers. The tautomeric state is not substantially influenced by nitro group substitution in the phenyl ring. Consequently, the studied compounds can be used as model tautomers in the NMR evaluation of the tautomeric state in various azo dyes in solution. According to the crystallographic data (obtained by us or available in the literature) the conclusions about the tautomerism of the studied compounds in solution are valid in solid state as well.
Genome-Wide Identification of WRKY Genes and Their Response to Cold Stress in Co ff ea canephora

WRKY transcription factors are known to play roles in diverse stress responses in plants. Low temperatures limit the geographic distribution of Coffea canephora Pierre ex A.Froehner. The WRKYs of C. canephora are still not well characterized, and the response of C. canephora WRKYs (CcWRKYs) under cold stress is still largely unknown. We identified 49 CcWRKYs from the C. canephora genome to gain insight into these mechanisms. These CcWRKYs were divided into three groups that were based on the conserved WRKY domains and zinc-finger structure. Gene expression analysis demonstrated that 14 CcWRKYs were induced during the cold acclimation stage, 17 CcWRKYs were preferentially upregulated by 4 ◦C treatment, and 12 CcWRKYs were downregulated by cold stress. Subsequently, we carried out a genome-wide analysis to predict 14,513 potential CcWRKY target genes in C. canephora. These isolated genes were involved in multiple biological processes, and most of them could be grouped by the response to stimulus. Among the putative CcWRKY target genes, 235 genes were categorized into response to the cold process, including carbohydrate metabolic, lipid metabolic, and photosynthesis process-related genes. Furthermore, the qRT-PCR and correlation analysis indicated that CcWRKY might control their putative targets that respond to cold stress. These results provide a basis for understanding the molecular mechanism for CcWRKY-mediated cold responses.
Analysis Levels and Techniques : A Survey

The growth of social media contributes a large amount of user generated content such as comments, customer reviews and opinions. This user generated content is very useful for businesses, individuals and governments. But analysis of this content is difficult and time consuming. So there is a need to develop an intelligent system which automatically mines and classify into positive, negative and neutral category. Sentiment analysis is the automated mining of opinions and emotions from text, speech, and database sources. The objective of this work is to discover the concept of Sentiment Analysis, and describes a comparative study of its techniques in this field.
ThE ExpREssION Of alpha-sMOOTh MUsClE aCTIN ( α-sMa ) IN pOsTERIOR lINgUal glaNDs IN NORMal aND DIabETIC RaTs

AbstrAct Diabetes results in a variety of oral health complications. Among which is its effect on salivary glands that results in decreased salivary flow. Diabetes effect on posterior lingual glands is an issue that deserves proper research. Our aim is to investigate the effect of experimental diabetes on the histopathology of posterior lingual glands as well as on the change in the expression of α-SMA between normal and diabetic rats.
Antimicrobial activity of five traditionally used medicinal plants on bacterial infection of urinary tract

ARTICLE INFO ABSTRACT Article history Received 2 August 2016 Accepted 1 September 2016 Urinary tract infection (UTI) has become a serious public health problem worldwide. Antimicrobial resistance of the pathogenic bacteria makes the situation more serious. Medicinal plants used as crude form by the communities have potential effect on this disease. The present study was carried out to investigate the antibacterial activities of five medicinal plants viz. Allium sativum, Cinnamomum verum, Syzygium aromaticum, Terminalia arjuna, Zingiber officinale against five Urinary Tract Infection (UTI) causing bacteria such as Escherichia coli, Pseudomonas aeruginosa, Proteus vulgaris, Klebsiella pneumoniae, Staphylococcus aureus. The antimicrobial activity of the plant extracts by agar well diffusion assay and Minimum Inhibitory Concentration (MIC) method. The diameter of the zone of inhibition (DZI) were measured. Antioxidant action of five plants was observed by thin layer chromatography (TLC) and 1, 1-diphenyl-2picrylhydrazyl (DPPH) radical scavenging activity assay. Phytochemical screening was done by following the standard procedure. Among the two extracts used, highest antibacterial activity was recorded with ethanolic extract of Terminalia arjuna on E.coli and least against extracts of Zingiber officinale on P. aeruginosa with DIZ of 3.2 mm and 1.1 mm respectively. MIC values of 100 μg/ml indicated that Z. officinale is more effective on E. coli, K. pneumonia and P. vulgaris than the other plant extracts, but less effective on S. aureus and P. aeruginosa. The presence of high anti-oxidative biomolecules were noted in Z. officinale extracts. Preliminary phytochemical analysis of the plant parts revealed the presence of active compounds such as phenolics, steriods, alkaloids, glycosides, and flavonoids. The results obtained in this analysis clearly demonstrated that the antibacterial activity of selected plant extracts on all UTI causing bacteria is satisfactory and this is due to the presence of anti-oxidative biomolecules or active compounds such as phenolics, steriods, alkaloids, glycosides, and flavonoids. Further research is needed.
The construction and application of Bayesian network in data mining

Bayesian network is one of efficient tools in the data-mining, dealing with incomplete data and describing the relativities of data in quantity and the correlation in graphics methods, applied to data mining can be reflected, the potential dependent relationship between variables. The paper introduces the Bayesian network, the basic theory and method of the constructing the Bayesian network, through an example to illustrate the applications of the Bayesian network in the data-mining.
Multi-Resolution White-Space Detection for Cognitive Radio

Cognitive radios must examine the contents of the RF bands potentially available for communication prior to commencing transmission. This process is often referred to as spectrum sensing, and its goal is the declaration of subbands as either occupied (black space) or unoccupied (white space). If the radio is equipped with an OFDM waveform, even a set of irregularly spaced narrow white subbands can be useful by properly selecting the subset of subcarriers on which to transmit. It is important, therefore, to provide the radio with the ability to automatically detect all available white space for a wide variety of RF scenes: densely packed emitters, arbitrarily colored background noise, mixtures of emitter bandwidths, etc. In other contexts, such as with the wideband single-carrier MUOS (Mobile User Objective System) satellite communication system, the black spaces are avoided by an adaptive multi-notch transmit filter whose passbands reflect the detected white spaces. In this paper, a novel automatic multi-resolution general-purpose white-space detector is described. To illustrate the difficulty of the problem and the potential of the algorithmic solution, the method is applied to simulated and collected UHF data sets.
The Healthcare Technologies Management Program.

Developing an engineer's awareness of factors that affect the cost of healthcare technology is discussed. It is concluded that the Healthcare Technologies Management Program offered by Marquette University and the Medical College of Wisconsin is a unique program that meets the unique needs of engineers and their employers. The program prepares new graduate engineers to work in hospitals, medical device companies, and consulting firms, and it provides experienced engineers with the training needed for career advancement. It provides several advantages over graduate business and technical degrees and many benefits to students and their employers. The emphasis of the program can play a role in the reduction of the costs associated with the development of healthcare technology.