Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrative analysis of gene expression profiles reveals distinct molecular characteristics in oral tongue squamous cell carcinoma

Oral tongue squamous cell carcinoma (OTSCC) is the most common type of oral cancer. Despite advances in knowledge regarding the genome-scale gene expression pattern of oral cancer, the molecular portrait of OTSCC biology has remained unclear over the last few decades. Furthermore, studies concerning OTSCC gene-expression profiles are limited or inconsistent owing to tissue heterogeneity in single-cohort studies. Consequently, the present study integrated the profile datasets of three cohorts in order to screen for differentially expressed genes (DEGs), and subsequently identified the potential candidate genes and pathways in OTSCC through gene enrichment analysis and protein-protein interaction (PPI) network construction. Using the selected Gene Expression Omnibus datasets GSE13601, GSE31056 and GSE78060, 206 DEGs (125 upregulated and 81 downregulated) were identified in OTSCC, principally associated with extracellular matrix (ECM) organization and the phosphoinositide 3-kinase/protein kinase B signaling pathway. Furthermore, 146/206 DEGs were filtered into the PPI network and 20 hub genes were sorted. Further results indicated that the two most significant modules filtered from the PPI network were associated with ECM organization and human papillomavirus infection, which are important factors affecting OTSCC pathology. Overall, a set of OTSCC-associated DEGs has been identified, including certain key candidate genes that may be of vital importance for diagnosis, therapy and prevention of this disease.
Grain hardness of wheat bred in Poland and its relationship to starch damage during milling

A b s t r a c t. Four different methods were used to evaluate grain hardness of wheat cultivars and advanced breeding lines bred in Poland. In addition, for genotypes that were highly differentiated in grain hardness the level of starch damage and puroindoline content were analysed. Some differences in results of grain hardness testing indicate that the methods are based on various principles and evaluate different features of grain. It was found that wheat genotypes bred in Poland do not vary considerably in grain hardness and puroindoline content. Regardless of grain hardness, grain of studied wheat genotypes milled under standard conditions yield flour with very similar starch damage levels. It was found that it is easier to change the starch damage degree by changing milling conditions instead of selecting a specific wheat variety. K e y w o r d s: winter wheat, puroindolines, grain hardness indices, starch damage
Haptoglobin in goats with caprine arthritis-encephalitis

Concentration of haptoglobin (Hp) was measured in 325 goat serum samples using guaiacol (peroxidase) test. One hundred forty six samples (45%) originated from goats infected with small ruminant lentivirus (SRLV), etiological agent of caprine arthritis-encephalitis (CAE), whereas 179 (55%) from non-infected goats. Mann-Whitney U test was applied to evaluate statistical significance of a difference between Hp concentrations in CAE-positive and CAE-negative sera. Totally, 11 serum samples were positive for Hp ‐ 4 CAE-positive (2.7%) and 7 CAE-negative (3.9%). Hp concentrations in 4 CAEpositive samples were 0.17, 0.83, 1.28, 9.25 g/l, whereas Hp concentrations in remaining 7 CAE-negative serum samples were 0.11, 0.16, 0.19, 0.49, 0.62, 0.91 and 1.21 g/l. No statistically significant difference between Hp concentrations in CAE-positive and CAE-negative sera could be found. However median of Hp concentrations in goats with detectable levels of Hp in the former group (1.06 g/l) was more than 2-fold higher than in the latter group (0.49 g/l).
PROOF LOAD FORMULA FOR HIGHWAY BRIDGE RATING

A proof load formula is proposed for highway bridge evaluation through proof load testing to determine target proof load and load rating. This formula is based on a target structural safety index of 2.3, which is consistent with current bridge evaluation practice and also with an evaluation method of load and resistance factors under development. It is demonstrated that the proposed formula will ensure a relatively uniform level of bridge structural safety and that possible changes in input data and probability distribution assumptions in the reliability models will not affect the results obtained. This formula can be applied to highway bridge evaluation by proof load testing, and the resulting rating can be directly input to the current national bridge rating inventory. The formula may be included in specifications for highway bridge evaluation by proof testing.
Encyclopedia of Information Communication Technology

The Encyclopedia of Information Communication Technology (ICT) is a comprehensive resource describing the influence of information communication technology in scientific knowledge construction and spreading, with emphasis on the roles of product technologies, process technologies, and context technologies. A reference point for studies on the use and application of information science in scientific knowledge construction, the Encyclopedia of Information Communication Technology covers the materials and instruments of information technology: from ICT in education to software engineering; the influence of ICT on different environments, including e-commerce, decision support systems, knowledge management, and more; and the most pervasive presence of information technology, including studies and research on knowledge management, the human side of ICT, ICT in healthcare, and virtual organizations, among many others. Addressing many of the fundamental issues of information communication technology, these estimable volumes will be a top-shelf resource for any reference library.
Abstract 1573: miR-Test: a blood test for lung cancer early detection

Proceedings: AACR 106th Annual Meeting 2015; April 18-22, 2015; Philadelphia, PA Background: Lung cancer is the leading cause of cancer death worldwide. As lung cancer is asymptomatic in its early stages, the majority of patients are diagnosed with advanced disease, when the tumor is unresectable. Consequently, the survival rate is very low: 15% at 5 years. It is vital, therefore, that screening programs and novel diagnostic tools are developed, which will increase the detection of lung cancer in its early stages (stage I-II), when the tumor is still curable, to reduce lung cancer mortality. Recently, we described a serum microRNA signature diagnostic for asymptomatic, early stage, lung cancer. The availability of reliable biomarkers to identify high-risk individuals might help to reduce the size of the target population for LDCT-based programs, thereby reducing costs and probably increasing compliance Methods: We performed a large-scale validation study of a miRNA blood test based on our signature (the miR-Test) in a population of high-risk individuals (N = 1115) enrolled in the lung cancer screening program COSMOS (Continuous Observation of SMOking Subjects), and other 74 lung cancer patients diagnosed outside of screening. Results: The miR-Test showed overall accuracy, specificity and sensitivity of 75%, 78%, and 75%, respectively, with an AUC of 0.85. The test appears to have a dual origin: the first from epithelial cells (the epithelial-like component); the second from cells of hematopoietic origin (the inflammatory-like component). Of note, we found that both components are needed to maintain a good performance of the miR-Test. Conclusions: The relatively high sensitivity of the miR-Test in detecting asymptomatic lung cancer and its high negative predictive value (NPV > 99%), confirm the effectiveness of the test, both interms of its ability to identify asymptomatic lung cancer patients and to reduce significantly unnecessary CTs on healthy individuals. Citation Format: Francesca Montani, Matteo Jacopo Marzi, Fabio Dezi, Elisa Dama, Rose Mary Carletti, Giuseppina Bonizzi, Raffaella Bertolotti, Massimo Bellomi, Cristiano Rampinelli, Patrick Maisonneuve, Lorenzo Spaggiari, Giulia Veronesi, Francesco Nicassio, Pier Paolo Di Fiore, Fabrizio Bianchi. miR-Test: a blood test for lung cancer early detection. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 1573. doi:10.1158/1538-7445.AM2015-1573
Future inside Virtual Reality

: Virtual Reality innovation may give new alternatives to directing perceptual engine appraisal inside mimicked 3D conditions for people with an extensive variety of inabilities. This paper diagrams our work building up a progression of diversion like virtual reality situations to survey and restore eye-hand coordination, scope of movement and other important perceptual motor exercises. Our endeavors have concentrated on building drawing in diversion based stereoscopic realistic situations that permit customers to take an interest in perceptual engine restoration by interfacing with 3D jolts inside an entire 360-Degree space utilizing a head mounted show or by method for a "confront forward" organization utilizing 3D projection shows. Exploratory work utilizing various video sensors to recognize and track 3D body movement, distinguish body poses and evaluate engine execution is likewise portrayed.
Study on a Novel Data Classification Method Based on Improved GA and SVM Model

Support vector machine(SVM) can effectively solve the classification problem with small samples, nonlinear and high dimensions, but it exits the weak generalization ability and low classification accuracy. So an improved genetic algorithm(IGA) is introduced in order to propose a new classification(IGASVM) method based on combining improved GA and SVM model. In the proposed IGASVM method, the self-adaptive control parameter strategy and improving convergence speed strategy are introduced into the GA to keep the diversity of the population, promptly reflect the premature convergence of the individual and escape from the local optimal solution for improving the search performance. Then the improved GA is used to optimize and determine the parameters of the SVM model in order to improve the learning ability and generalization ability of the SVM model for obtaining new classification (IGASVM) method. Finally, the experiment data is selected to test the effectiveness of the proposed IGASVM method. The experiment results show that the improved GA can effectively optimize and determine the parameters of the SVM model, and the IGASVM method takes on the better learning ability, generalization ability and classification accuracy.
The NBS Two-Pressure Humidity Generator, Mark 2

A new humidity calibration facility which uses the two-pressure principle for generating gas of known humidity has been developed at NBS for calibrating and testing hygrometers. The relative humidity range of the two-pressure humidity generator is 3 to 98 percent for ambient temperatures −60 ° to 80 °C and test chamber pressures 5 to 200 kPa (absolute). This is equivalent to a nominal dew/frost point range of −80 ° to 80 °C. Intercomparison tests were made with the NBS standard gravimetric hygrometer over a portion of the generator’s operating range. The estimated maximum uncertainty (three standard deviations) is 0.2 percent RH for temperatures 0 ° to 80 °C which in units of dew point corresponds to an estimated maximum uncertainty of 0.04 °C for dew points −35 ° to 80 °C.
Constraints on the merging channel of massive galaxies since z∼1

We probe the merging channel of massive galaxies over the z= 0.3 − 1.3 redshift window by studying close pairs in a sample of 238 galaxies with stellar mass >∼ 1011M⊙, from the SHARDS survey. SHARDS provides medium band photometry equivalent to low-resolution optical spectra (R∼50), allowing us to obtain extremely accurate photometric redshifts (median |∆z|/(1 + z) ∼ 0.55%) and to improve the constraints on the age distribution of the stellar populations. Our dataset is volume-limited, probing merger progenitors with mass ratios 1:100 (µ ≡ Msat/Mcen = 0.01) out to z=1.3. A strong correlation is found between the age difference of host and companion galaxy and stellar mass ratio, from negligible age differences in major mergers to age differences ∼4 Gyr for 1:100 minor mergers. However, this correlation is simply a reflection of the mass-age trend in the general population. The dominant contributor to the growth of massive galaxies corresponds to mass ratios µ >∼ 0.3, followed by a decrease in the fractional mass growth rate linearly proportional to log µ, at least down to µ ∼ 0.01, suggesting a decreasing role of mergers involving lowmass companions, especially if dynamical friction timescales are taken into account. A simple model results in an upper limit for the average mass growth rate of massive galaxies of (∆M/M)/∆t ∼ 0.08 ± 0.02 Gyr−1 , over the z ∼ 0.3. The majority of the stellar mass contributed by mergers does not introduce significantly younger populations, in agreement with the small radial age gradients observed in present-day early-type galaxies.
Is the Network Turing-Complete?

Ensuring correct network behavior is hard. This is the case even for simple networks, and adding middleboxes only complicates this task. In this paper, we demonstrate a fundamental property of networks. Namely, we show a way of using a network to emulate the Rule 110 cellular automaton. We do so using just a set of network devices with simple features such as packet matching, header rewriting and round-robin loadbalancing. Therefore, we show that a network can emulate any Turing machine. This ultimately means that analyzing dynamic network behavior can be as hard as analyzing an arbitrary program. Analyzing a network containing middleboxes is already understood to be hard. Our result shows that using even only statically configured switches can make the problem intractable.
Matching Of Dental Panoramic Radiographs Based On The Dental Work Information

“Biometrics” means “life measurement” and the term is usually associated with the use of unique physiological characteristics to identify or verify an individual. Dental biometrics is the technology used in forensic dentistry to identify persons based on their dental radiographs. Dental features have been widely used for identification purpose. The paper presents a method for human identification based on the dental work information (crowns, fillings, bridges). The proposed method works with three main processing stages: feature extraction (segmentation) of dental work. The segmentation is carried out using mathematical morphological operations. Creation of dental code based on the features extracted in the segmentation process. Matching stage is performed by comparing a dental code with other dental code stored in the database i.e., the distance between the neighbouring dental work and the angle at which they are aligned. The method was tested on a database having 50 dental radiographs. In 90% of the identification trails our method gave the accurate results. These experiments validate matching of dental panoramic radiographs using the dental codes as a viable method for human identification.
Interproceessor Invocation on a NUMA Multiprocessor

On a distributed shared memory machine, the problem of minimizing accesses to remote memory modules is crucial for obtaining high performance. We describe an object-based, parallel programming system called OSMIUM to support experiments with mechanisms for performing invocations on remote objects. The mechanisms we have studied include: non-cached access to remote memory, data migration, and function-shipping using an interprocessor invocation protocol (IIP). Our analyses and experiments indicate that IIP competes well with the alternatives, especially when the structure of user programs requires synchronized access to data structures. While these results are obtained on a NUMA multiprocessor, they are also applicable to systems that use hardware cache coherency techniques.
Some Ideas for Teaching Grammar More Effectively in an Efl Context

Most teachers in an EFL context place a great importance on grammar and see their primary function as reducing their students’ grammar errors. While ignoring the value of this attitude, this article sets out to show how teachers’ view of grammar is limiting and their approach to teaching grammar Keywords: collocations, extensive reading, grammar of orientation, grammar of structure, notice-the-gaps, noticing, pattern grammar, PPP lesson plan, production-practice, scaffolding, task-based approach.
Right Hemisphere and Language

The purpose of this paper is to present a review of literature on the role of the right hemisphere in language processing, more specifically, in reading comprehension. The review is organized in three main sections. First, some context that may explain why the right hemisphere has been neglected until the past decades when one considered language comprehension and production is presented. Secondly, the contributions originated from clinical observations and empirical research with brain-lesioned and normal participants, highlighting and distinguishing the role of the right side of the brain are discussed. Then, in the final part of this paper, the contributions of technological tools to the development and refinement of brain studies are addressed, showing that the right hemisphere works conjointly with its other half, so that reading comprehension is achieved.
Inflationary cosmology and the late-time accelerated expansion of the universe in nonminimal Yang-Mills-F(R) gravity and nonminimal vector-F(R) gravity

We study inflationary cosmology and the late-time accelerated expansion of the universe in nonminimal Yang-Mills (YM) theory, in which the YM field couples to a function of the scalar curvature. It is shown that power-law inflation can be realized due to the nonminimal YM field-gravitational coupling which may be caused by quantum corrections. Moreover, it is demonstrated that both inflation and the late-time accelerated expansion of the universe can be realized in a modified YM-F(R) gravity which is consistent with solar-system tests. Furthermore, it is shown that this result can be realized also in a nonminimal vector-F(R) gravity. In addition, we consider the duality of the nonminimal electromagnetic theory and that of the nonminimal YM theory, and also discuss the cosmological reconstruction of the YM theory.
Model of Dynamic Routes for Intelligent Police Patrolling

Patrolling and surveillance in cities around the world is a principal activity to guarantee the security of its citizens that is why nowadays the use of technology is of vital importance in order to identify offenses and criminal groups. The present article proposes the development of a model which generates dynamic routes applying artificial intelligence with the algorithm K-means, to identify critical points when patrolling a circuit within Ecuadorian territory. Also, the API tool from Google Maps is used to design the routes and the ways of transportation that are going to be utilized by the police agent. It showed good results in the testing phase and there has been developed a mobile application based on Android technology.
Nearest Neighbor: The Low-mass Milky Way Satellite Tucana III

We present Magellan/IMACS spectroscopy of the recently discovered Milky Way satellite Tucana III (Tuc III). We identify 26 member stars in Tuc III from which we measure a mean radial velocity of vhel = −102.3 ± 0.4 (stat.) ± 2.0 (sys.) , a velocity dispersion of , and a mean metallicity of . The upper limit on the velocity dispersion is σ < 1.5 at 95.5% confidence, and the corresponding upper limit on the mass within the half-light radius of Tuc III is 9.0 × 104 M⊙. We cannot rule out mass-to-light ratios as large as 240 M⊙/L⊙ for Tuc III, but much lower mass-to-light ratios that would leave the system baryon-dominated are also allowed. We measure an upper limit on the metallicity spread of the stars in Tuc III of 0.19 dex at 95.5% confidence. Tuc III has a smaller metallicity dispersion and likely a smaller velocity dispersion than any known dwarf galaxy, but a larger size and lower surface brightness than any known globular cluster. Its metallicity is also much lower than those of the clusters with similar luminosity. We therefore tentatively suggest that Tuc III is the tidally stripped remnant of a dark matter-dominated dwarf galaxy, but additional precise velocity and metallicity measurements will be necessary for a definitive classification. If Tuc III is indeed a dwarf galaxy, it is one of the closest external galaxies to the Sun. Because of its proximity, the most luminous stars in Tuc III are quite bright, including one star at V = 15.7 that is the brightest known member star of an ultra-faint satellite.
Model Considerations for Memory‐based Automatic Music Transcription

The problem of automatic music description is considered. The recorded music is modeled as a superposition of known sounds from a library weighted by unknown weights. Similar observation models are commonly used in statistics and machine learning. Many methods for estimation of the weights are available. These methods differ in the assumptions imposed on the weights. In Bayesian paradigm, these assumptions are typically expressed in the form of prior probability density function (pdf) on the weights. In this paper, commonly used assumptions about music signal are summarized and complemented by a new assumption. These assumptions are translated into pdfs and combined into a single prior density using combination of pdfs. Validity of the model is tested in simulation using synthetic data.
Subjective health literacy among school-aged children

Purpose The purpose of this paper is to explore Finnish adolescents’ subjective health literacy (HL) in association to school achievement, learning difficulties, educational aspirations, and family affluence. Design/methodology/approach Nationally representative data were collected in Finland as a part of the international Health Behaviour in School-aged Children study. The respondents consisted in total of 3,833 adolescents (7th and 9th graders) from 359 schools. The Health Literacy for School-aged Children instrument was applied to measure adolescents’ subjective HL, while the Family Affluence Scale was used to measure adolescents’ socioeconomic status. Information was gathered on school achievement, learning difficulties, and educational aspirations. Findings Approximately one-third of the adolescents manifested a high level of HL, around 60 per cent had a moderate level of HL, and about one-tenth had low HL. The HL level was lower for boys than for girls, and lower for 7th graders than for 9th graders. In the total sample, the strongest explanatory variables for HL were school achievement in the first language, and educational aspirations. Originality/value This study provides the first nationally representative examination of adolescents’ subjective HL levels, and how these vary across age and gender groups. In drawing conclusions and presenting suggestions for HL interventions, it is important to verify the nature of the HL examined in any given study, and how it was researched.