Miracle-dz/UniFAR-FTUs huggingface dataset:
Schistosoma japonicum: The design and experimental evaluation of a multivalent DNA vaccine

The aim of this study was to construct and evaluate the immunity efficacy of the DNA multivalent vaccine pVIVO2SjFABP-23. The vaccine was constructed and produced as follows. Forty BALB/c mice were divided into four groups designated pVIVO2, pVIVO2Sj23, pVIVO2SjFABP and pVIVO2SjFABP-23. Each mouse was immunized with 100 μg of the corresponding plasmid DNA by intramuscular injection. 28 days post-vaccination, the mice were challenged with S. japonicum cercariae, and the worm and egg burdens were determined 42 days post-challenge. Serum samples were collected from all the mice before and after vaccination and at the end of the experiment, and used for antibody detection. The IFN-γ and IL-4 levels were quantified in the supernatants of specifically stimulated spleen cells. The number of worms was reduced by 52%, 40% and 42% in mice respectively immunized with pVIVO2SjFABP-23, pVIVO2Sj23 or pVIVO2SjFABP. A respective 61%, 38% and 39% egg reduction was determined relative to those mice that only received the empty pVIVO2 plasmid. pVIVO2SjFABP-23 immunization increased IgG levels against SWAP and SEA. Increased IFN-γ levels were detected in the supernatant of specific stimulated spleen cells from mice immunized with the 3 different constructs. The multivalent DNA vaccine developed induced higher levels of protection than the two monovalent tested vaccines.
Lung function abnormalities in children with type I diabetes.

Recent developments in intrabronchial administration of insulin raise lung function in patients with type I diabetes as important issue. Several studies in adults report abnormalities of lung function of these patients. The aim of this study was to investigate lung function in children with type I diabetes. Twenty-seven children with type I diabetes performed measurement of airway obstruction (forced flow-volume curves), lung volumes and airway resistance (bodyplethysmography) and of pulmonary carbon monoxide diffusion capacity Mean age (+/- SD) of the children was 12.8 +/- 5 years. Mean time between the detection of type I diabetes and the lung function tests was 5.5 years with a variation from I to 17 years. The total airway resistance (Raw) was significantly higher compared to the reference values (P < 0.001). The other lung function parameters were not significantly different from reference values (P > 0.05). In this relatively small study no relationship between lung function abnormalities and age, the duration of disease or level of HbA1c was observed. Our data show that increase of airway resistance do occur in children withtype I diabetes. Progressive abnormalities in lung function might interfere with the promising results of treatment with intrabronchial administration of insulin.
Mental Arithmetic: A Componential Analysis of Speed‐of‐Processing Across Monolingual, Weak Bilingual, and Strong Bilingual Adults

Two experiments compared rates of solving simple and complex addition and multiplication problems in groups of speakers of French or English in Experiment 1 (n = 35) and Spanish or English in Experiment 2 (n = 84). Subjects were divided into groups of English unilinguals, weak bilinguals, and strong bilinguals according to their performance on a naming task. In both experiments, simple problems consisted of two single-digit numbers. At least three single-digit numbers were used for complex problems in Experiment 1 and double-digit numbers in Experiment 2. Mean solution times, particularly for complex problems, were lowest for the monolingual group, followed in turn by the weak bilingual and strong bilingual groups, but these differences were not statistically reliable in either experiment. In Experiment 2, however, componential analyses of solution times indicated that strong bilingual subjects were slower at executing the carry operation when solving complex problems, relative to the two remaining groups. Results were interpreted in terms of the relationship between bilingualism and the representation and processing of numerical information. La vitesse de verification de problemes simples et complexes d'addition et de multiplication a ete comparee chez des groupes de sujets parlant anglais ou francais dans l'experience 1 (n = 35) et anglais ou espagnol dans l'experience 2 (n = 84). Les sujets etaient classes en unilingues, bilingues a dominance anglaise et bilingues avec equivalence des deux langues selon leur performance a une epreuve de denomination. Les problemes simples impliquaient des nombres a chiffre unique dans les deux experiences. Les problemes complexes mettaient en jeu au moins trois nombres a chiffre unique dans l'experience 1 et des nombres a deux chiffres dans l'experience 2. Dans les deux experiences, les bilingues etaient systematiquement, mais pas significativement, plus lents que les unilingues aux problemes complexes. Selon une analyse des composantes des temps de reaction a l'experience 2, les bilingues equivalents prenaient plus de temps que les deux autres groupes a faire le report numerique dans les problemes complexes. La discussion de ces resultats met en relation le bilinguisme et la representation mentale du traitement de l'information numerique.
‘I think we should take this offline . . .’: conversational patterns that undermine effective decision making in action learning sets

Collective decision making is an increasing requirement in organizations where the emphasis is on team work at every level. It is, however, very complex and difficult to achieve in practice. Too frequently, important discussions are bypassed or, while the majority of the meeting participants remain mute, decisions are being made by a vocal few. In other words, the meeting may at first appear to be inclusive in its decision making but the reality may be starkly different. In addition, very little is known about how senior executive groups go about attempting to develop collective decisions. In this action learning action research (ALAR) study, which extended over a six-month period, conversational patterns were identified in which the AL set engaged at precisely the point where they failed to achieve their aim of openly addressing important issues. Through an analysis of three of these patterns, and drawing on the work of Argyris and others, this article demonstrates how difficult topics were avoided by the group, thereby compromising the executives group's capacity to engage in effective collective decision making.
Segmentation of Human Zygotes in Hoffman Modulation Contrast Images

We present a practical graph-based algorithm for segmenting an human zygote (fertilized ovum) in a Hoffman Modulation Contrast image. Such microscopy technique is routinely used during In Vitro Fertilization procedures, and produces an image with a sidelit, 3D-like appearance; our algorithm takes advantage of such peculiar appearance in order to achieve a remarkable robustness in the segmentation task, which is frequently made difficult by clutter, debris and other artifacts. The technique is tested on a number of images with different characteristics, and shown to be robust with respect to clutter, noise and overexposure, and applicable in a wide array of different conditions.
Rhetorical analysis in critical policy research

Rhetorical analysis, an approach to critical discourse analysis, is presented as a useful method for critical policy analysis and its effort to understand the role policies play in perpetuating inequality. A rhetorical analysis of Character Matters! , the character education policy of a school board in Ontario, Canada, provides an illustrative example of the method’s contributions to the field. I identify rhetorical appeals of Character Matters! texts that aim to persuade the policy’s audience to support a predominantly traditional approach to character education. I then present contributions of rhetorical analysis for critical policy research and possibilities of rhetorical analysis for democratizing policy processes. I conclude by considering possible implications for York Region if the rhetoric of Character Matters! successfully convinces its audience to support the traditional approach to character education it advocates.
Sequence Imputation of HPV16 Genomes for Genetic Association Studies

Background Human Papillomavirus type 16 (HPV16) causes over half of all cervical cancer and some HPV16 variants are more oncogenic than others. The genetic basis for the extraordinary oncogenic properties of HPV16 compared to other HPVs is unknown. In addition, we neither know which nucleotides vary across and within HPV types and lineages, nor which of the single nucleotide polymorphisms (SNPs) determine oncogenicity. Methods A reference set of 62 HPV16 complete genome sequences was established and used to examine patterns of evolutionary relatedness amongst variants using a pairwise identity heatmap and HPV16 phylogeny. A BLAST-based algorithm was developed to impute complete genome data from partial sequence information using the reference database. To interrogate the oncogenic risk of determined and imputed HPV16 SNPs, odds-ratios for each SNP were calculated in a case-control viral genome-wide association study (VWAS) using biopsy confirmed high-grade cervix neoplasia and self-limited HPV16 infections from Guanacaste, Costa Rica. Results HPV16 variants display evolutionarily stable lineages that contain conserved diagnostic SNPs. The imputation algorithm indicated that an average of 97.5±1.03% of SNPs could be accurately imputed. The VWAS revealed specific HPV16 viral SNPs associated with variant lineages and elevated odds ratios; however, individual causal SNPs could not be distinguished with certainty due to the nature of HPV evolution. Conclusions Conserved and lineage-specific SNPs can be imputed with a high degree of accuracy from limited viral polymorphic data due to the lack of recombination and the stochastic mechanism of variation accumulation in the HPV genome. However, to determine the role of novel variants or non-lineage-specific SNPs by VWAS will require direct sequence analysis. The investigation of patterns of genetic variation and the identification of diagnostic SNPs for lineages of HPV16 variants provides a valuable resource for future studies of HPV16 pathogenicity.
Exploiting the “doddington zoo” effect in biometric fusion

Recent research in biometrics has suggested the existence of the “Biometric Menagerie” in which weak users contribute disproportionately to the error rate (FAR and FRR) of a biometric system. The aim of this work is to utilize this observation to design a multibiometric system where information is consolidated on a user-specific basis. To facilitate this, the users in a database are characterized into multiple categories and only users belonging to weak categories are required to provide additional biometric information. The contribution of this work lies in (a) the design of a selective fusion scheme where fusion is invoked only for a subset of users, and (b) evaluating the performance of such a scheme on two public datasets. Experiments on the multi-unit CASIA V3 iris database and multi-unit WVU fingerprint database indicate that selective fusion, as defined in this work, improves overall matching accuracy while potentially reducing overall computational time. This has positive implications in a large-scale system where the throughput can be substantially increased without compromising the verification accuracy of the system.
Expression of the Orphan Nuclear Receptor, Germ Cell Nuclear Factor, in Mouse Gonads and Preimplantation Embryos1

Abstract Germ cell nuclear factor (GCNF, NR6A1) is an orphan member of the nuclear receptor superfamily and functions as a repressor of gene transcription. GCNF mRNA is expressed in postgastrulation mouse embryos and is required for normal mouse embryonic development. In adult mice, GCNF transcripts are predominantly expressed in spermatogenic cells and growing oocytes of the gonads. To extend this observation to the protein level, we generated and characterized a specific antibody against GCNF. Using this antibody we found that GCNF protein was exclusively present in postmeiotic spermatogenic cells of the testis in 21- and 56-day-old mice. In the ovary, GCNF protein was present in the cytoplasm of oocytes from primary to preovulatory follicles. GCNF protein was also present in unfertilized oocytes and preimplantation embryos. The presence of GCNF protein in adult mouse gonads indicates that GCNF may play a role during gametogenesis. Our results also show that GCNF in early embryos is a maternal protein and could be involved in the regulation of zygotic gene expression and preimplantation embryonic development.
A framework for using niche models to estimate impacts of climate change on species distributions

Predicting species geographic distributions in the future is an important yet exceptionally challenging endeavor. Overall, it requires a two‐step process: (1) a niche model characterizing suitability, applied to projections of future conditions and linked to (2) a dispersal/demographic simulation estimating the species’ future occupied distribution. Despite limitations, for the vast majority of species, correlative approaches are the most feasible avenue for building niche models. In addition to myriad technical issues regarding model building, researchers should follow critical principles for selecting predictor variables and occurrence data, demonstrating effective performance in prediction across space, and extrapolating into nonanalog conditions. Many of these principles relate directly to the niche space, dispersal/demographic noise, biotic noise, and human noise assumptions defined here. Issues requiring progress include modeling interactions between abiotic variables, integrating biotic variables, considering genetic heterogeneity, and quantifying uncertainty. Once built, the niche model identifying currently suitable conditions must be processed to approximate the areas that the species occupies. That estimate serves as a seed for the simulation of persistence, dispersal, and establishment in future suitable areas. The dispersal/demographic simulation also requires data regarding the species’ dispersal ability and demography, scenarios for future land use, and the capability of considering multiple interacting species simultaneously.
Predicting Music Theory Grades: The Relative Efficiency of Academic Ability, Music Experience, and Musical Aptitude

Multiple regression techniques were used to analyze the relative contributions of academic ability, music experience, and musical aptitude in predicting grades in first- and second-semester freshman music theory courses. The best predictor of grades in both courses was the math component of the Scholastic Aptitude Test (SAT). For the first-semester course, high school grade point average, the incidence of piano study, and scores on the verbal portion of the SAT were also statistically significant predictors. Together, the four predictors accounted for 41% of the variation in theory grades. For the second-semester course, principal instrument was also statistically significant in the prediction of grades, and the incidence of experience on more than one instrument was marginally significant. A principal components analysis of the first-semester data produced five factors that accounted for 78.6% of the variance in the original variables: (1) academic and musical ability, (2) piano experience, (3) years of performing experience, (4) performance on more than one instrument, and (5) musical aptitude.
Non-Gaussian Noise Models in Signal Processing for Telecommunications: New Methods and Results for Class A and Class B Noise Models

The subject here is generalized (i.e., non-Gaussian) noise models, and specifically their first-order probability density functions (PDFs). Attention is focused primarily on the author's canonical statistical-physical Class A and Class B models. In particular, Class A noise describes the type of electromagnetic interference (EMI) often encountered in telecommunication applications, where this ambient noise is largely due to other, "intelligent" telecommunication operations. On the other hand, ambient Class B noise usually represents man-made or natural "nonintelligent"-i.e., nonmessage-bearing noise-and is highly impulsive. Class A noise is not an /spl alpha/-stable process, nor is it reducible to such, except in the limiting Gaussian cases of high-density noise (by the central limit theorem). Class B noise is also asymptotically normal (before model approximation). Under rather broad conditions, principally governed by the source propagation and distribution scenarios, the PDF of Class B noise alone (no Gaussian component) can usually be approximated by (1) a symmetric Gaussian /spl alpha/-stable (S/spl alpha/S) model in the case of narrowband reception, or when the PDF /spl omega//sub 1/(/spl alpha/) of the amplitude is symmetric; and (2) a nonsymmetric /spl alpha/-stable (NS/spl alpha/S) model (no Gaussian component) can be constructed in broadband regimes. New results here include: (i) counting functional methods for constructing the general qth-order characteristic functions (CFs) of Class A and Class B noise, from which (all) moments and (in principle), the PDFs follow; (ii) the first-order CFs, PDFs, and cumulative probabilities (APDs) of nonsymmetric broadband Class B noise, extended to include additive Gauss noise (AGN); (iii) proof of the existence of all moments in the basic Class A and Class B models; (iv) the key physical role of AGN and the fact that AGN removes /spl alpha/-stability; (v) the explicit roles of the propagation and distribution scenarios; and (vi) extension to noise fields. Although telecommunication applications are emphasized, Class A and Class B noise models apply selectively, but equally well, to other physical regimes, e.g., underwater acoustics and EM (radar, optics, etc.). Supportive empirical data are included.
Intellectual conformism depends on institutional incentives, not on socialized culture

The study by Ceci et al. shows that academic behavior associated with the core principles of intellectual freedom is more shaped by institutional incentives than by organizational culture. From an organizational theoretical point of view, this is quite an unexpected finding, not least because we do believe universities to be fairly strong and explicit cultures that should be successful in socialization.
Transcriptional Regulators Cph 1 p and Efg 1 p Mediate Activation of the Candida albicans Virulence Gene SAP 5 during Infection

Transcriptional Regulators Cph1p and Efg1p Mediate Activation of the Candida albicans Virulence Gene SAP5 during Infection Peter Staib, Marianne Kretschmar, Thomas Nichterlein, Herbert Hof, and Joachim Morschhäuser* Zentrum für Infektionsforschung and Institut für Molekulare Infektionsbiologie, Universität Würzburg, Röntgenring 11, D-97070 Würzburg, and Institut für Medizinische Mikrobiologie und Hygiene, Klinikum der Stadt Mannheim, D-68135 Mannheim, Germany
An Investigation of Client and Counselor Variables That Influence Likelihood of Counselor Self-Disclosure

Selected client and counselor variables affecting reported likelihood of self-disclosure by 120 experienced clinicians in relation to four scenarios were examined. Variables included client age and diagnosis and counselor gender, experience, and exposure to disclosing counselors in their own experience of counseling. Disclosure likelihood was greatest for high ego-strength diagnoses and for respondents who reported positive disclosures from counselors in their own counseling experiences. Reasons for and against using self-disclosure also were examined. Reasons for disclosing included promoting universality, giving encouragement, modeling, rapport-building, and offering alternatives. Reasons against disclosing included boundary blurring, concern about counselor welfare, merging, and premature closure. Implications for practice and research are discussed.
E240V Substitution Increases Catalytic Efficiency toward Ceftazidime in a New Natural TEM-Type Extended-Spectrum β-Lactamase, TEM-149, from Enterobacter aerogenes and Serratia marcescens Clinical Isolates

ABSTRACT The aim of this study was to characterize a novel extended-spectrum β-lactamase that belongs to the TEM family, the TEM-149 enzyme, and that was isolated from the urine of two hospitalized patients from different hospitals in southern Italy. The peculiarity of this enzyme was the finding of a valine residue at position 240. The array of amino acid substitutions found in TEM-149 was as follows: E104K, R164S, M182T, and E240V. A reversion of a threonine residue at position 182 was also performed to create a new mutant, TEM-149T182M, in order to assess the contribution of this substitution on the kinetic profile and the stability of TEM-149. The blaTEM-149 and blaTEM-149/T182M genes were cloned into pBC-SK, and the corresponding enzymes were purified from recombinant Escherichia coli HB101 by the same procedure. Both enzymes hydrolyzed all β-lactams tested, with a preference for ceftazidime, which was found to be the best substrate. By comparison of the kinetic parameters of the TEM-149 and the TEM-149T182M enzymes, a reduction of the catalytic efficiency for the TEM-149T182M mutant was observed against all substrates tested except benzylpenicillin, cefotaxime, and aztreonam. Tazobactam, clavulanic acid, and sulbactam were good inhibitors of the TEM-149 β-lactamase.
Photoplethysmographic imaging of high spatial resolution

We present a new method of formation photoplethysmographic images with high spatial resolution from video recordings of a living body in the reflection geometry. The method (patent pending) is based on lock-in amplification of every pixel of the recorded video frames. A reference function required for synchronous detection of cardiovascular pulse waves is formed from the same frames. The method is featured by ability to visualize dynamic changes in cardiovascular pulse wave during the cardiac (or respiratory) cycle. We demonstrate that the system is capable to detect the minimal irritations of the body such as gentle scratching of the skin by own finger.