Miracle-dz/UniFAR-FTUs huggingface dataset:
Biomarker discovery in urogenital cancer

Abstract Novel approaches for the early detection of urogenital cancers are urgently needed. Metastatic renal cell carcinoma (RCC) has a poor prognosis and unpredictable course and to date there are no molecular markers that reliably protect RCC outcome. A novel kidney cancer marker, carbonic anhydrase IX (CA IX), was investigated as an independent prognostic factor for survival for patients with metastatic RCC. In patients with non-metastatic RCC low CAIX predicted a worse outcome similar to patients with metastatic disease and overall CAIX expression decreased with development of metastasis. CAIX reflects significant changes in tumour biology, which may be used to predict clinical outcome and identify high-risk patients for adjuvant-targeted therapies. With regard to prostate cancer there are a number of putative biomarkers, although there are limited studies providing clinical correlations in humans. Potential biomarkers include caveolin-1, p-Akt, p27, the met oncogene, Ki67 (MIB-1), 8q24 over-expression, polycomb protein EZH2, plasma TGF-B1 and IL-6 among others. The laboratory has concentrated on the Prostate Stem Cell Antigen (PSCA) which is increased in patients with more aggressive features, that is higher Gleason grade and higher stage. Highest expression is seen in metastatic lesions to bone and staining for PSCA may predict for disease progression or recurrence. Also promising is the finding reported by the group that expression of p27 in radical prostatectomy specimens correlates with biochemical recurrence. Loss of p27 (defined as absent expression in more than 70% of the specimen) is an independent predictor of recurrence among all patients and among the sub-set with organ confined and extra-capsular disease. The data also shows that p27 can predict outcome among patients with positive surgical resection margins. As with other biomarkers, major questions still to be addressed is the requirement for universal application with uniform scoring and the need for prospective studies in randomized clinical trials.
Cdc42p and Fus2p act together late in yeast cell fusion

Cdc42p is the master regulator of morphogenesis in eukaryotic cells. It has an additional role in cell fusion, acting later in the pathway, after cells have undergone the changes in polarization and growth required for fusion. Cdc42p acts in concert with Fus2p to allow cell fusion.
[Efficacy and safety of palonosetron versus tropisetron in the prevention of highly emetogenic chemotherapy-induced acute and delayed vomiting in Chinese cancer patients].

OBJECTIVE To explore the efficacy and safety of palonosetron in the prevention of acute and delayed chemotherapy-induced nausea and vomiting after moderate to severe emetogenic chemotherapy. METHODS From November 2008 to November 2009, a multicenter, randomized, double-blind and self-crossover phase II clinical trial with a total planned enrollment of 160 patients was carried out to compare palonosetron (drug A) with tropisetron (drug B). The subjects were randomized divided into groups AB and BA. The dosing sequence in the group AB was drug A the first cycle and drug B the second cycle while the BA group was administered reversely. The efficacy was evaluated within a period of 5 days after cisplatin or adriamycin-based regimen chemotherapy. Adverse effects were assessed by CTCAE 3.0. RESULTS Among 155 enrolled cases, 132 cases were assessable for efficacy. The complete control rate of acute chemotherapy-induced nausea and vomiting was 54.55% vs 51.52% for drug A vs drug B (P > 0.05), but that of delayed reaction was 53.03% vs 38.64% respectively. There were significant differences (P = 0.01). Meanwhile, the rate of adverse effects was 4.90% for investigational agent without severe adverse events. The main adverse reactions were headache and dizziness. CONCLUSION With a high safety profile, palonosetron is an effective agent for the prevention of acute and delayed chemotherapy-induced nausea and vomiting.
Mechanical ventilation in ICUs in Poland: A multi-center point-prevalence study

Background Mechanical ventilation is the primary method of supporting organ function in patients treated in intensive care units (ICUs). Lung damage from mechanical ventilation can be avoided by using the correct ventilation modes. This study was designed to assess the epidemiology and treatment strategies of patients receiving mechanical ventilation in ICUs in Poland. Material/Methods This study was done using a point-prevalence methodology. Questionnaires requesting demographic data, indications for ventilation, variables involved in ventilation, airway access, methods of sedation, and mode of weaning were sent to 148 ICUs. Results Eighty-three ICUs took part in the study. The rate of ventilated patients was 73.6%. The indications for mechanical ventilation were: acute respiratory failure (40%), coma (40%), chronic obstructive pulmonary disease (COPD) exacerbation (14%), and neuromuscular diseases (5%). Patients were ventilated by orotracheal tube (58%), tracheostomy tube (41%), and mask/helmet (1%). The mean tidal volume was 8 ml/kg and positive end-expiratory pressure was commonly used. The mean oxygen concentration was 40%. Synchronized intermittent mandatory ventilation with pressure support was the most frequently used ventilatory mode. Benzodiazepine and opioids were used for sedation in 91% of centers. A systematic testing of the depth of sedation was performed at 48% surveyed ICUs. Ventilation monitoring with biomechanical methods was used at 53% of centers. Conclusions Mechanical ventilation is commonly used in ICUs in Poland. Almost half of the ventilated patients had extrapulmonary indications. Patients were ventilated with low concentrations of oxygen, and positive end-expiratory pressure (PEEP) was commonly employed.
TEFM is a potent stimulator of mitochondrial transcription elongation in vitro

A single-subunit RNA polymerase, POLRMT, transcribes the mitochondrial genome in human cells. Recently, a factor termed as the mitochondrial transcription elongation factor, TEFM, was shown to stimulate transcription elongation in vivo, but its effect in vitro was relatively modest. In the current work, we have isolated active TEFM in recombinant form and used a reconstituted in vitro transcription system to characterize its activities. We show that TEFM strongly promotes POLRMT processivity as it dramatically stimulates the formation of longer transcripts. TEFM also abolishes premature transcription termination at conserved sequence block II, an event that has been linked to primer formation during initiation of mtDNA synthesis. We show that POLRMT pauses at a wide range of sites in a given DNA sequence. In the absence of TEFM, this leads to termination; however, the presence of TEFM abolishes this effect and aids POLRMT in continuation of transcription. Further, we show that TEFM substantially increases the POLRMT affinity to an elongation-like DNA:RNA template. In combination with previously published in vivo observations, our data establish TEFM as an essential component of the mitochondrial transcription machinery.
CLAMI: Defect Prediction on Unlabeled Datasets (T)

Defect prediction on new projects or projects with limited historical data is an interesting problem in software engineering. This is largely because it is difficult to collect defect information to label a dataset for training a prediction model. Cross-project defect prediction (CPDP) has tried to address this problem by reusing prediction models built by other projects that have enough historical data. However, CPDP does not always build a strong prediction model because of the different distributions among datasets. Approaches for defect prediction on unlabeled datasets have also tried to address the problem by adopting unsupervised learning but it has one major limitation, the necessity for manual effort. In this study, we propose novel approaches, CLA and CLAMI, that show the potential for defect prediction on unlabeled datasets in an automated manner without need for manual effort. The key idea of the CLA and CLAMI approaches is to label an unlabeled dataset by using the magnitude of metric values. In our empirical study on seven open-source projects, the CLAMI approach led to the promising prediction performances, 0.636 and 0.723 in average f-measure and AUC, that are comparable to those of defect prediction based on supervised learning.
Modifiability of Neuroticism, Extraversion, and Agreeableness by Group Cognitive Behaviour Therapy for Social Anxiety Disorder

Abstract The study investigated if the degree of personality pathology among people with clinical levels of social anxiety disorder was similar to those with personality disorders more generally, if the degree of avoidant personality pathology was correlated positively with Neuroticism and negatively with Extraversion and facets of Agreeableness (particularly Trust), and finally if scores on the relevant personality dimensions improve from pre- to post-treatment. Changes in Neuroticism, Extraversion, and Agreeableness were examined following group treatment for social anxiety disorder. The current study employed a within-subjects repeated-measures design (N = 25) to investigate whether these traits can be changed by group treatment for social anxiety disorder. A measure of personality disorder pathology was found to correlate positively with Neuroticism and negatively with Agreeableness in the absence of significant relationships with other Five-Factor Model traits. Treatment was associated with significant reductions in Neuroticism and there was significant improvement of the Trust facet of Agreeableness. These results are discussed in terms of the way that group treatment for Social Anxiety Disorder may be enhanced.
Development and Two-Year Follow-Up Evaluation of a Training Workshop for the Large Preventive Positive Psychology Happy Family Kitchen Project in Hong Kong

Evidence-based practice and capacity-building approaches are essential for large-scale health promotion interventions. However, there are few models in the literature to guide and evaluate training of social service workers in community settings. This paper presents the development and evaluation of the “train-the-trainer” workshop (TTT) for the first large scale, community-based, family intervention projects, entitled “Happy Family Kitchen Project” (HFK) under the FAMILY project, a Hong Kong Jockey Club Initiative for a Harmonious Society. The workshop aimed to enhance social workers’ competence and performance in applying positive psychology constructs in their family interventions under HFK to improve family well-being of the community they served. The two-day TTT was developed and implemented by a multidisciplinary team in partnership with community agencies to 50 social workers (64% women). It focused on the enhancement of knowledge, attitude, and practice of five specific positive psychology themes, which were the basis for the subsequent development of the 23 family interventions for 1419 participants. Acceptability and applicability were enhanced by completing a needs assessment prior to the training. The TTT was evaluated by trainees’ reactions to the training content and design, changes in learners (trainees) and benefits to the service organizations. Focus group interviews to evaluate the workshop at three months after the training, and questionnaire survey at pre-training, immediately after, six months, one year and two years after training were conducted. There were statistically significant increases with large to moderate effect size in perceived knowledge, self-efficacy and practice after training, which sustained to 2-year follow-up. Furthermore, there were statistically significant improvements in family communication and well-being of the participants in the HFK interventions they implemented after training. This paper offers a practical example of development, implementation and model-based evaluation of training programs, which may be helpful to others seeking to develop such programs in diverse communities.
Personal Value Priorities and Life Satisfaction in Europe

The present study examined the relations of personal values to life satisfaction (LS) across 25 European nations. Multilevel statistics with country-level Human Development Index (HDI) as a contextual moderator tested its effect on the individual-level relations between personal values and LS. HDI moderated the relations between LS and 8 of the 10 basic values identified by Schwartz’s values theory. Across countries, high benevolence and hedonism values were associated with heightened LS, whereas high power and security values were related to lower LS. Achievement was positively related to LS in low HDI countries, but negatively in high HDI countries, whereas the opposite pattern occurred for universalism values and LS. Our results emphasize the importance of considering the broader context in which personal values are pursued when examining their implications for LS.
Individual and Collective Mathematical Development: The Case of Statistical Data Analysis.

In the first part of this article, I clarify how we analyze students' mathematical reasoning as acts of participation in the mathematical practices established by the classroom community. In doing so, I present episodes from a recently completed classroom teaching experiment that focused on statistics. Against the background of this analysis, I then broaden my focus in the final part of the article by developing the themes of change, diversity, and equity.
Violência social sob a perspectiva da saúde pública

Este artigo tem a finalidade de introduzir o leitor na tematica da violencia social, sob a perspectiva da Saude Publica. Desenvolve-se analisando o tema no âmbito da sociedade, no campo da saude expressa na mortalidade e morbidade. Termina refletindo sobre as propostas possiveis, setoriais, intersetoriais, interprofissionais e articuladas com a sociedade e os movimentos sociais.
Fluorescence immunoassay and passive latex agglutination as alternatives to hemagglutination inhibition for determining rubella immune status

Three different assays for detection of rubella antibodies, hemagglutination inhibition (HAI), fluorescence immunoassay (FIA), and passive latex agglutination (PLA) were used to test 297 human serum samples. Overall agreements for immune status were as follows: HAI versus FIA, 95.3% (283 of 297); HAI versus PLA (1:10 dilution), 96.3% (286 of 297); HAI versus PLA (undiluted), 93.9% (279 of 297); PLA (1:10 dilution) versus FIA, 94.9% (282 of 297); and PLA (undiluted) versus FIA, 97.9% (291 of 297). The HAI test is the most time consuming, subjective, and technically difficult to perform. The FIA and PLA tests are very rapid and less labor intensive. In addition, the FIA offers an objective determination of the patient's rubella antibody level.
Bonding of Adhesive Luting Agents to Caries-affected Dentin Induced by a Microcosm Biofilm Model.

OBJECTIVES To evaluate the bond strength of adhesive luting agents applied to caries-affected dentin (CAD). METHODS Thirty-six noncarious human third molars were abraded to expose an occlusal dentin surface. Caries lesions were induced in half of the samples using a microcosm biofilm model. Biofilm was cultivated under an anaerobic atmosphere for 14 days in a medium enriched with mucin. The same medium containing 1% sucrose was alternated for 4 hours per day. Cylinders of resin cement (RelyX ARC, RelyX U200, or BisCem) were built up over the dentin substrate and submitted to shear bond load. The samples were then longitudinally sectioned. The hardness and elastic modulus of dentin were measured at different depths from the occlusal surface. A three-dimensional finite element simulation was performed to analyze the residual stress distribution during the shear bond strength test. Bond strength data were analyzed by two-way analysis of variance (ANOVA) and hardness and elastic modulus by split-plot ANOVA. Multiple comparisons were performed with the SNK test (α=0.05). RESULTS For all cements, the highest bond strengths were observed in sound dentin. Relyx ARC bond strength was similar to that of RelyX U200 for both substrates; BisCem had the lowest values. CAD had lower hardness (above a depth of 100 μm) and elastic modulus (above a depth of 150 μm) values than sound dentin. Stress distribution during the bond strength test was similar under all experimental conditions. CONCLUSION Impairment of the mechanical properties of dentin promoted by carious lesions reduced the bond strength of adhesive luting agents.
The Demand for Volunteer Labor: A Study of Hospital Volunteers

The authors challenge the assumption that organizations are willing to use all the volunteer labor available to them. Rather, they are influenced by the costs incurred of utilizing volunteer labor. This article provides a modest first look at the demand for volunteers by nonprofit institutions. Specifically, the article presents an economic analysis of the demand of volunteer labor by hospitals in the Toronto area and examines some of the factors that may determine the hospitals’ willingness to use volunteer labor. Using data generated from 28 hospitals in Toronto, which use a total of more than 2 million volunteer hr per year, the authors show that the quantity of volunteer hours demanded is a decreasing function of their costs. Other factors such as productivity, output, and labor market institutions also influence the demand for volunteers.
Classroom Versus Screencast for Native Language Learners: Effect of Medium of Instruction on Knowledge of Programming

Students, who study in their native language in K-12 and go on to do their undergraduate education in English, have difficulty in acquiring programming knowledge. Solutions targeted towards improving their English proficiency take time, while those that continue with native language in the classroom limit the students' ability to compete in a global market. Another solution could be the use of video-based instructional material to empower a student for self-paced learning. In this paper, we present a comparative study of classroom instruction versus self-paced screencasts for native language learners' acquisition of programming concepts. We conducted four introductory programming workshops, each of six days duration. Two workshops were classroom based, one having Hindi (native language) as the medium of instruction and other in English. Two other workshops were screencast based, again one in Hindi and one in English. We measured differences between the groups using a post-test, across different content types such as fact, concepts and process. We found that when medium of instruction is different from language of K-12 instruction, there is an adverse impact on learning. However, when self-paced screencast is used instead of classroom environment, there is a statistically significant improvement in performance. Our work informs the choice of MoI and choice of environment for native language learners.
Seeing the Trees and the Forest: Attending to Australian Natural History as if it Mattered

Discourse in the Australian Journal of Environmental Education of the last ten years has not addressed a pedagogy that draws on and reflects the natural history of the continent. Australia is an ecological and species diverse country that has experienced substantial environmental change as a consequence of European settlement. Australians have historically been, and increasingly are, urban people. With high rates of urban residency in a substantially modified landscape, what role might environmental education play in assisting Australians to develop understandings of the natural history of specific Australian places? While Australia has a rich history of people observing, comparing and recording the natural history of the continent, environmental education discourse in this journal has not addressed how pedagogy might be informed by a focus on natural history. This paper draws attention to this gap in Australian environmental education discourse and offers some thoughts and ideas for a pedagogy based on the natural history of specific places.
Contract Teachers: Experimental Evidence from India

The large-scale expansion of primary schooling in developing countries has led to the increasing use of non-civil-service contract teachers who are hired locally by the school, are not professionally trained, have fixed-term renewable contracts, and are paid much lower salaries than regular civil-service teachers. This has been a controversial policy, but there is limited evidence on the effectiveness of contract teachers in improving student learning. We present experimental evidence on the impact of contract teachers using data from an 'as is' expansion of contract-teacher hiring across a representative sample of 100 randomly-selected government-run rural primary schools in the Indian state of Andhra Pradesh. At the end of two years, students in schools with an extra contract teacher performed significantly better than those in comparison schools by 0. 16σ and 0. 15σ, in math and language tests respectively. Contract teachers were also much less likely to be absent from school than civil-service teachers (18% vs. 27%). Combining the experimental reduction in school-level pupil-teacher ratio (PTR) induced by the provision of an extra contract teacher, with high-quality panel data estimates of the impact of reducing PTR with a regular civil-service teacher, we show that contract teachers are not only effective at improving student learning outcomes, but that they are no less effective at doing so than regular civil-service teachers who are more qualified, better trained, and paid five times higher salaries.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber. org.
A Distributed Algorithm for Managing Residential Demand Response in Smart Grids

Demand response enabled by time-varying prices can propel the power industry toward a greater efficiency. However, a noncoordinated response of customers may lead to severe peak rebounds at periods with lower prices. In this regard, a coordinated demand response scheme can mitigate concerns about the peak rebounds. This paper presents a system-wide demand response management model to coordinate demand response provided by residential customers. The objective of the model is to flatten the total load profile that is subject to minimum individual cost of customers. The model is first formulated as a bi-level optimization problem. It is then casted into equivalent single-level problems, which are solved via an iterative distributed algorithm. Home load management (HLM) modules embedded in customers' smart meters are autonomous agents associated with the algorithm. In the algorithm, at first, HLM modules, in response to prices announced by the utility, optimize the daily operation of household appliances and send back the scheduled load profiles. Then, the total load profile is calculated and released by the utility. Thereafter, the HLM modules asynchronously update their schedule such that, given their least energy expenses, the most evenly distributed total load profile is achieved. The mutual interaction between the utility and HLM modules is continued to the point in which no further improvement is obtained. Convergence and optimality of the algorithm are proved.