Miracle-dz/UniFAR-FTUs huggingface dataset:
Twitter event detection: combining wavelet analysis and topic inference summarization

Today streaming text mining plays an important role within real-time social media mining. Given the amount and cadence of the data generated by those platforms, classical text mining techniques are not suitable to deal with such new mining challenges. Event detection is no exception, available algorithms rely on text mining techniques applied to pre-known datasets processed with no restrictions about computational complexity and required execution time per document analysis. This work presents a lightweight event detection using wavelet signal analysis of hashtag occurrences in the twitter public stream. It also pro- poses a strategy to describe detected events using a Latent Dirichlet Allocation topic inference model based on Gibbs Sampling. Peak detec- tion using Continuous Wavelet Transformation achieved good results in the identification of abrupt increases on the mentions of specific hash- tags. The combination of this method with the extraction of topics from tweets with hashtag mentions proved to be a viable option to summarize detected twitter events in streaming environments.
Investment with Government Subsidies and Cost Contingency: The Case of Build-Operate-Transfer (BOT) Toll Road 1

Investment in toll road normally involves a portfolio of real options. We model a portfolio of real options with cost contingency and government subsidy at the operation stage. We demonstrate that the investment value is highly sensitive to cost and revenue uncertainties. Our numerical example suggests that the investment value of risky project is higher when net income guarantee is used instead of minimum revenue
Soft photon theorem for high energy amplitudes in Yukawa and scalar theories

We study the emission of soft photons coupling to high energy fixed angle scattering processes at first order in the electromagnetic coupling but to all loop orders in a class of theories without soft divergences, including massive and massless Yukawa and scalar theories. We adapt a method introduced by del Duca for quantum electrodynamics to show that subleading corrections to the soft photon theorem are sensitive to the structure of non leading external jets of collinear lines. Our techniques are based on a power counting analysis of loop integrals and an application of jet Ward identities. We also apply Grammer and Yennie's decomposition to isolate separately gauge invariant contributions to the soft photon expansion. These are interpreted as infrared sensitive matrix elements coupling to a field strength tensor.
Application of 99mTc-Pertechnetate Scintigraphy to Microvascular Autologous Transplantation of the Submandibular Gland in Patients with Severe Keratoconjunctivitis Sicca

Our objective was to evaluate the role of 99mTc-pertechnetate scintigraphy on microvascular autologous transplantation of the submandibular gland in patients with severe keratoconjunctivitis sicca (KCS). Methods: 99mTc-Pertechnetate scintigraphy was performed on 106 patients with severe KCS. The patients were examined before surgery and at 1 wk and 3 mo afterward using a standardized protocol that included static scintigrams, time–activity curves, and delayed scintigrams to check the function and secretion of the major salivary glands. The scintigraphic findings were assessed visually. When possible, the scintigraphic findings were compared with the clinical appearance of the transplanted gland. Results: The function of all 4 major salivary glands was almost completely lost in 10 patients, indicating that these patients were not suitable for transplantation. The other 96 patients were treated by autologous transplantation of the submandibular gland. In 14 patients, the function of the major salivary glands was below normal. One patient's scintigram, obtained on the second day after surgery, showed no uptake of 99mTc-pertechnetate in the transplanted gland. Surgical exploration showed embolism of the artery of the transplanted gland. Scintigraphy was performed 1 wk after surgery in 90 patients. There was no uptake of 99mTc-pertechnetate in the temporal region in 8 patients, indicating that the glands were not revascularized. Scintigraphy showed obvious uptake of 99mTc-pertechnetate in the temporal region of the other 82 patients, indicating that the transplanted glands were viable. At more than 3 mo after surgery, scintigraphy was again performed on 30 patients. Scintigraphy after a 120-min delay showed that 99mTc-pertechnetate drained into the orbit through the duct of the transplanted gland in 26 patients. However, no secretion into the orbit was found in 4 patients, indicating obstruction of the duct. Conclusion: Scintigraphy plays an important role in microvascular autologous transplantation of the submandibular gland in patients with severe KCS. Scintigraphy can be used to select patients and donor glands, to evaluate the viability of the graft, and to check the patency of Wharton's duct of the transplanted gland.
Kinetics of Bilirubin Transfer between Serum Albumin and Membrane Vesicles

Unconjugated bilirubin is transported in the plasma bound primarily to serum albumin, from which it is taken up and metabolized by the liver. To better characterize the mechanism of bilirubin delivery to the hepatocyte, stopped-flow techniques were utilized to study the kinetics of bilirubin transfer between serum albumin and both model phospholipid and native hepatocyte plasma membrane vesicles. The transfer process was best described by a single exponential function, with rate constants of 0.93 ± 0.04, 0.61 ± 0.03, and 0.10 ± 0.01 s (±S.D.) at 25°C for human, rat, and bovine serum albumins, respectively. The observed variations in rate with respect to donor and acceptor concentrations provide strong evidence for the diffusional transfer of free bilirubin. Thermodynamic analysis suggests that the binding site on bovine serum albumin demonstrates higher specificity for the bilirubin molecule than that on human or rat serum albumin, which exhibit similar binding characteristics. Kinetic analysis of bilirubin transfer from rat serum albumin to isolated rat basolateral liver plasma membranes indicates that the delivery of albumin-bound bilirubin to the hepatocyte surface occurs via aqueous diffusion, rather than a collisional process, thereby mitigating against the presence of an “albumin receptor. ”
PML Nuclear Bodies and SATB1 Are Associated with HLA Class I Expression in EBV+ Hodgkin Lymphoma

Tumor cells of classical Hodgkin lymphoma (cHL) are characterized by a general loss of B cell phenotype, whereas antigen presenting properties are commonly retained. HLA class I is expressed in most EBV+ cHL cases, with an even enhanced expression in a proportion of the cases. Promyelocytic leukemia protein (PML) and special AT-rich region binding protein 1 (SATB1) are two global chromatin organizing proteins that have been shown to regulate HLA class I expression in Jurkat cells. We analyzed HLA class I, number of PML nuclear bodies (NBs) and SATB1 expression in tumor cells of 54 EBV+ cHL cases and used 27 EBV− cHL cases as controls. There was a significant difference in presence of HLA class I staining between EBV+ and EBV− cases (p<0.0001). We observed normal HLA class I expression in 35% of the EBV+ and in 19% of the EBV− cases. A stronger than normal HLA class I expression was observed in approximately 40% of EBV+ cHL and not in EBV− cHL cases. 36 EBV+ cHL cases contained less than 10 PML-NBs per tumor cell, whereas 16 cases contained more than 10 PML-NBs. The number of PML-NBs was positively correlated to the level of HLA class I expression (p<0.01). The percentage of SATB1 positive cells varied between 0% to 100% in tumor cells and was inversely correlated with the level of HLA class I expression, but only between normal and strong expression (p<0.05). Multivariable analysis indicated that the number of PML-NBs and the percentage of SATB1+ tumor cells are independent factors affecting HLA class I expression in EBV+ cHL. In conclusion, both PML and SATB1 are correlated to HLA class I expression levels in EBV+ cHL.
Clinical and microbial considerations for the treatment of an extended kindred with seven cases of prepubertal periodontitis: a 2-year follow-up.

D estructive forms of periodontal diseases may have an early onset in the primary dentition. 1-~ Two types of prepubertal periodontitis (PP) have been described:1 a) generalized prepubertal periodontitis (GPP), which is characterized by severe gingival inflammation, gingival tissue proliferation, gingival recession, and a widespread and rapid destruction of the alveolar bone and b) localized prepubertal periodontitis (LPP), which may be clinically inconspicuous, but alveolar bone loss (ABL) at one or more primary teeth is disclosed by radiographic examination. Periodontitis has been reported to affect siblings and their parents, ~ and the present manuscript describes two branches of an extended kindred (Fig 1), in which seven children (siblings and cousins) were affected with PP, and one parent had evidence of localized early onset periodontitis. The clinical and microbial considerations for the different treatment plans of the children, and the outcome of the treatments during a 2-year period are presented.
A New Method for Mapping Optimization Problems Onto Neural Networks

A novel modified method for obtaining approximate solutions to difficult optimization problems within the neural network paradigm is presented. We consider the graph partition and the travelling salesman problems. The key new ingredient is a reduction of solution space by one dimension by using graded neurons, thereby avoiding the destructive redundancy that has plagued these problems when using straightforward neural network techniques. This approach maps the problems onto Potts glass rather than spin glass theories. A systematic prescription is given for estimating the phase transition temperatures in advance, which facilitates the choice of optimal parameters. This analysis, which is performed for both serial and synchronous updating of the mean field theory equations, makes it possible to consistently avoid chaotic behavior.When exploring this new technique numerically we find the results very encouraging; the quality of the solutions are in parity with those obtained by using optimally tuned simulated annealing heuristics. Our numerical study, which for TSP extends to 200-city problems, exhibits an impressive level of parameter insensitivity. (Less)
Learning new words: effects of meaning, memory consolidation, and sleep

Although encountering novel words in one's own language in adulthood is not an uncommon event, the relevant cognitive processes have become the target of systematic investigation only in recent years. This thesis addressed three main questions regarding word learning. The first was concerned with the role of meaning: to what degree is meaning necessary in integrating new representations in the lexicon? Experiments 1-3 suggested that meaning is indeed important. In the absence of trained meaning novel words may "inherit" the meaning of neighbouring familiar words, possibly explaining some seemingly incompatible reports in the literature (Experiment 1). Experiment 3 showed that such inherited meaning is sufficient to allow integration of novel words in the lexicon. Having established the importance of meaning in lexical integration, the thesis moved to the second question: does knowledge of novel word meanings benefit from offline memory consolidation? Experiments 4-7 suggested that this is the case. Experiment 4 showed that consolidated novel words elicited faster semantic decisions than words learned just before testing, while Experiment 5 showed that cued recall of word forms is also enhanced over time. Experiments 6-7 refined these conclusions by using semantic priming paradigms, showing that novel word primes facilitate processing of semantically associated familiar words after a period of offline consolidation has been allowed to operate over an extended period of time involving several days and/or nights. The third question focused on the role of sleep in the consolidation of novel words: which aspects of sleep architecture are associated with lexical integration? Experiment 8 looked at sleep during the night after word learning and sought to clarify the roles sleep spindles and different sleep stages play in word learning. Spindle activity was associated with the emergence of lexical competition effects, suggesting that sleep has an active role in word learning, and that spindles in particular are associated with lexical integration. These effects were interpreted in light of complementary learning systems theories.
The Teaching of Children's Poetry: An Exploration of Instructional Practices in University Courses of Children's Literature, English, Language Arts, and Reading Education

There are no studies which focus on the instructional practices employed in the teaching of children's poetry at the university level. This project aimed to describe the instructional practices utilized in the teaching of children's poetry at universities across the United States. Limited to the practices of the university professors and adjunct instructors who were members of the Children's Literature Assembly (CLA) of the National Council of Teachers of English (NCTE) at the time of this study, this investigation attempted to ascertain the general perceptions of poetry held by these university professors and adjunct instructors, their in-class instructional practices, and the types of poetry assignments given. Additionally, this study revealed both the poets typically highlighted and the goals held by professors and instructors in courses of children's literature, English, language arts, library science, and reading education. A mixed-methods design provided the framework for the descriptive data gleaned from the Poetry Use Survey. Quantitative data analysis yielded descriptive statistical data (means, standard deviations, ranges, percentages). Qualitative data analysis (manual and computer-assisted techniques) yielded categories and frequencies of response. Major findings included respondents': (a) belief that the teaching of poetry was important, (b) general disagreement for single, "correct" interpretations of poetry and general agreement in support of multiple interpretations, (c) general disagreement whether current curricular demands have prevented or impaired their teaching of poetry, (e) high frequency of reading poetry out loud in class, (f) emphasis on inclusion of award-winning poets in assignments, (g) instructional emphasis on variety and breadth in the selection of poets highlighted in a particular course, (h) goals for inclusion of poetry centered on pedagogical issues (e.g., frequent use, appreciation of craft; writing models; thematic uses) in language arts and across content areas.
A Detection of [C II] Line Emission in the z = 4.7 QSO BR 1202–0725

We present ~3'' resolution imaging of the z = 4.7 QSO BR 1202-0725 at 900 μm from the Submillimeter Array. The two submillimeter continuum components are clearly resolved from each other, and the positions are consistent with previous lower frequency images. In addition, we detect [C II] line emission from the northern component at L = 4.5 × 109 L☉. The ratio of [C II] to far-infrared luminosity is 0.04% for the northern component, and an upper limit of <0.03% is obtained for the southern component. These ratios are similar to the low values found in local ultraluminous galaxies, indicating that the excitation conditions are different from those found in local field galaxies. X-ray emission is detected by Chandra from the southern component at L0.5-2 keV = 3 × 1045 ergs s-1 and, at 99.6% confidence, from the northern component at L0.5-2 keV ~ 3 × 1044 ergs s-1, supporting the idea that BR 1202-0725 is a pair of interacting galaxies at z = 4.7 and that each harbors an active nucleus.
Distribution of the 22 cytokine gene polymorphisms in healthy Macedonian population.

BACKGROUND Distribution of cytokine gene polymorphisms may vary significantly among different ethnic groups, and eventually contribute to observed differences in disease frequencies. OBJECTIVES To genotype 22 cytokine polymorphisms in the Macedonian population. The Macedonian population consists of 301 healthy unrelated individuals. METHODS Blood samples were collected after written consent, DNA was isolated from peripheral blood, and 22 polymorphisms were typed: IL-1alpha -889, IL-1beta -511, IL-1beta +3962, IL-1R psti1970, IL-1RN mspa11100, IL-4Ralpha +1902, IL-12 -1188, IFNgamma utr5644, TGF-beta1 cdn10, TGF-beta1 cdn25, TNF-alpha -308, TNF-alpha -238, IL-2 -330, IL-2 +166, IL-4 -1098, IL-4 -590, IL-4 -33, IL-6 -174, IL-6 565, IL-10 -1082, IL-10 -819, and IL-10 -592. Cytokine genotyping was performed by PCR-SSP (Heidelberg kit). The population genetics analysis package, PyPop, was used for analysis of the cytokine data. RESULTS Test of neutrality (Fnd) showed negative value, but was significantly different from 0 for TGF-beta1 1 cdn10 and IFNgamma utr5644 (p of F = 0.001, and 0.012 respectively). Several SNPs (IL-1alpha -889, IL-1beta +3962, IL-2 + 166, IL-4 -1098, IL-4 -590, IL-4 -33, and IL-10 -592) were not in HWP (p 0.005). Test of neutrality for cytokine haplotypes (TGF-beta1, TNFalpha, IL-2, IL-4, IL-6, and IL-10) showed significantly difference from 0 only for IL-2 haplotypes (p=0.020). CONCLUSION The results of cytokine polymorphisms in Macedonian population can be used for anthropological comparisons, as well as for association studies with different diseases (Tab. 6, Ref. 34). Full Text (Free, PDF) www. bmj. sk.
Sentinel Lymph Node Biopsy in Colon Cancer: A Prospective Multicenter Trial

Introduction:The clinical impact of sentinel lymph node biopsy (SLNB) in colon cancer is still controversial. The purpose of this prospective multicenter trial was to evaluate its clinical value to predict the nodal status and identify factors that influence these results. Methods:Colon cancer patients without prior colorectal surgery or irradiation were eligible. The sentinel lymph node (SLN) was identified intraoperatively by subserosal blue dye injection around the tumor. The SLN underwent step sections and immunohistochemistry (IHC), if classified free of metastases after routine hematoxylin and eosin examination. Results:At least one SLN (median, n = 2) was identified in 268 of 315 enrolled patients (detection rate, 85%). Center experience, lymphovascular invasion, body mass index (BMI), and learning curve were positively associated with the detection rate. The false-negative rate to identify pN+ patients by SLNB was 46% (38 of 82). BMI showed a significant association to the false-negative rate (P < 0.0001), the number of tumor-involved lymph nodes was inversely associated. If only slim patients (BMI ≤24) were investigated in experienced centers (>22 patients enrolled), the sensitivity increased to 88% (14 of 16). Moreover, 21% (30 of 141) of the patients, classified as pN0 by routine histopathology, revealed micrometastases or isolated tumor cells (MM/ITC) in the SLN. Conclusions:The contribution of SLNB to conventional nodal staging of colon cancer patients is still unspecified. Technical problems have to be resolved before a definite conclusion can be drawn in this regard. However, SLNB identifies about one fourth of stage II patients to reveal MM/ITC in lymph nodes. Further studies must clarify the clinical impact of these findings in terms of prognosis and the indication of adjuvant therapy.
Why Is There a Lack of Consensus on Molecular Subgroups of Glioblastoma? Understanding the Nature of Biological and Statistical Variability in Glioblastoma Expression Data

Introduction Gene expression patterns characterizing clinically-relevant molecular subgroups of glioblastoma are difficult to reproduce. We suspect a combination of biological and analytic factors confounds interpretation of glioblastoma expression data. We seek to clarify the nature and relative contributions of these factors, to focus additional investigations, and to improve the accuracy and consistency of translational glioblastoma analyses. Methods We analyzed gene expression and clinical data for 340 glioblastomas in The Cancer Genome Atlas (TCGA). We developed a logic model to analyze potential sources of biological, technical, and analytic variability and used standard linear classifiers and linear dimensional reduction algorithms to investigate the nature and relative contributions of each factor. Results Commonly-described sources of classification error, including individual sample characteristics, batch effects, and analytic and technical noise make measurable but proportionally minor contributions to inconsistent molecular classification. Our analysis suggests that three, previously underappreciated factors may account for a larger fraction of classification errors: inherent non-linear/non-orthogonal relationships among the genes used in conjunction with classification algorithms that assume linearity; skewed data distributions assumed to be Gaussian; and biologic variability (noise) among tumors, of which we propose three types. Conclusions Our analysis of the TCGA data demonstrates a contributory role for technical factors in molecular classification inconsistencies in glioblastoma but also suggests that biological variability, abnormal data distribution, and non-linear relationships among genes may be responsible for a proportionally larger component of classification error. These findings may have important implications for both glioblastoma research and for translational application of other large-volume biological databases.
Classification of english phrases and SMS text messages using Bayes and Support Vector Machine classifiers

This paper performs a comparative analysis of several different types of SMS text classifiers: weight enhanced Multinomial naive Bayes, Poisson naive Bayes, and L2-loss Support Vector Machine. The effects of preprocessing and incorporating additional features on the classifiers were examined. The preliminary experimental results show that the use of preprocessing and incorporating additional features produced no significant gain or loss in classification efficiency. However the feature space used by the classification methods decreased, which could be beneficial for resource limited environments. In addition the solutions to the SMS text classification may be applied to other problems, like the classification of English sentences. Our collection of text messages may not be statistically significant, because of very limited sources for text messages.
Models of Forgiveness and Adult Romantic Attachment in Ended Relationships: Forgiveness Over Time

MODELS OF FORGIVENESS AND ADULT ROMANTIC ATTACHMENT IN ENDED RELATIONSHIPS: FORGIVENESS OVER TIME Kathryn Louise Cooke, B. S. A thesis submitted in partial hlfillment of the requirements for the degree of Master of Science at Virginia Commonwealth University. Virginia Commonwealth University, 2006 Director: Everett L. Worthington, Jr., Ph.D., Professor, Department of Psychology This study examined models of self and other as they relate to attachment, forgiveness, emotional and cognitive reactions to a breakup, relationship variables, and positive and negative feelings toward the self and former partner after a romantic relationship is ended. This study also tested how these variables change over time. Data were collected over a period of five weeks from 130 undergraduates who had experienced a breakup within the two weeks prior to beginning the study. Data were analyzed with a series of univariate and multivariate analyses of variance. Results found that there were differences in how participants reacted to the relationship breakup based on attachment style. There were some changes over time in the variables for all the attachment styles, and there was only one interaction between time and attachment style. Results are xii discussed in terms of previous research findings. Limitations of the current study are discussed and suggestions for hture research are presented.