Miracle-dz/UniFAR-FTUs huggingface dataset:
Sentiment analysis in a cross-media analysis framework

This paper introduces the implementation and integration of a sentiment analysis pipeline into the ongoing open source cross-media analysis framework. The pipeline includes the following components; chat room cleaner, NLP and sentiment analyzer. Before the integration, we also compare two broad categories of sentiment analysis methods, namely lexicon-based and machine learning approaches. We mainly focus on finding out which method is appropriate to detect sentiments from forum discussion posts. In order to conduct our experiments, we use the apache-hadoop framework with its lexicon-based sentiment prediction algorithm and Stanford coreNLP library with the Recursive Neural Tensor Network (RNTN) model. The lexicon-based uses sentiment dictionary containing words annotated with sentiment labels and other basic lexical features, and the later one is trained on Sentiment Treebank with 215,154 phrases, labeled using Amazon Turk. Our overall performance evaluation shows that RNTN outperforms the lexicon-based by 9.88% accuracy on variable length positive, negative, and neutral comments. However, the lexicon-based shows better performance on classifying positive comments. We also found out that the F1-score values of the Lexicon-based is greater by 0.16 from the RNTN.
Constructive and Unconstructive Repetitive Thought

The author reviews research showing that repetitive thought (RT) can have constructive or unconstructive consequences. The main unconstructive consequences of RT are (a) depression, (b) anxiety, and (c) difficulties in physical health. The main constructive consequences of RT are (a) recovery from upsetting and traumatic events, (b) adaptive preparation and anticipatory planning, (c) recovery from depression, and (d) uptake of health-promoting behaviors. Several potential principles accounting for these distinct consequences of RT are identified within this review: (a) the valence of thought content, (b) the intrapersonal and situational context in which RT occurs, and (c) the level of construal (abstract vs. concrete processing) adopted during RT. Of the existing models of RT, it is proposed that an elaborated version of the control theory account provides the best theoretical framework to account for its distinct consequences.
Infrastructure Work Order Planning Using Genetic Algorithms

Infrastructure management offices plan and complete several thousand small construction projects annually. Effective planning is vital if the public and private sectors are to maintain valuable infrastructure investments at the least cost to the taxpayer or shareholder. This paper presents the results an application of Genetic Algorithms (GA) in multi-project resource allocation to minimize the total cost of work order execution on realistically sized infrastructure management problems. In addition to direct crew costs indirect costs for set-up, idle time, and travel are included in this model. Results of test cases demonstrate the effectiveness of the approach when compared to several standard heuristics.
Coral Reefs on the Edge? Carbon Chemistry on Inshore Reefs of the Great Barrier Reef

While increasing atmospheric carbon dioxide (CO2) concentration alters global water chemistry (Ocean Acidification; OA), the degree of changes vary on local and regional spatial scales. Inshore fringing coral reefs of the Great Barrier Reef (GBR) are subjected to a variety of local pressures, and some sites may already be marginal habitats for corals. The spatial and temporal variation in directly measured parameters: Total Alkalinity (TA) and dissolved inorganic carbon (DIC) concentration, and derived parameters: partial pressure of CO2 (pCO2); pH and aragonite saturation state (Ωar) were measured at 14 inshore reefs over a two year period in the GBR region. Total Alkalinity varied between 2069 and 2364 µmol kg−1 and DIC concentrations ranged from 1846 to 2099 µmol kg−1. This resulted in pCO2 concentrations from 340 to 554 µatm, with higher values during the wet seasons and pCO2 on inshore reefs distinctly above atmospheric values. However, due to temperature effects, Ωar was not further reduced in the wet season. Aragonite saturation on inshore reefs was consistently lower and pCO2 higher than on GBR reefs further offshore. Thermodynamic effects contribute to this, and anthropogenic runoff may also contribute by altering productivity (P), respiration (R) and P/R ratios. Compared to surveys 18 and 30 years ago, pCO2 on GBR mid- and outer-shelf reefs has risen at the same rate as atmospheric values (∼1.7 µatm yr−1) over 30 years. By contrast, values on inshore reefs have increased at 2.5 to 3 times higher rates. Thus, pCO2 levels on inshore reefs have disproportionately increased compared to atmospheric levels. Our study suggests that inshore GBR reefs are more vulnerable to OA and have less buffering capacity compared to offshore reefs. This may be caused by anthropogenically induced trophic changes in the water column and benthos of inshore reefs subjected to land runoff.
A Multi-Group Investigation of the CES-D's Measurement Structure Across Adolescents, Young Adults and Middle-Aged Adults

The aim of the present research was to investigate, via multi-group analyses, the dimensional structure of the CES-D (Radloff, 1977) across three age groups. For this, three studies were conducted on cross-sectional samples of French speaking respondents, varying in age and drawn from the Quebec educational system: 599 adolescent high school students, 291 young adults attending university, and 844 middle-aged adult employees of a school board. Five a priori hypothesized models were tested via structural equation modeling: a single-factor, two three-factors, a four-factor and a second-order factor model. The four-factor and the second-order factor model provided the best fit and the latter model remained largely invariant across the groups when tested via multi-group comparisons. Other psychometric characteristics of the French Canadian version of the scale (e.g., test-retest reliability, internal consistency, convergent-discriminant validity) were also shown to be satisfactory. Possible applications of subcomponent scores in research (based on the multidimensional structure of the scale), rather than the commonly used composite CES-D score, are discussed. Le but de cette recherche etait d'evaluer, a l'aide d'analyses multi-groupes, la structure factorielle de notre version francaise du CES-D (Radloff, 1977) parmi trois groupes d'âge. Trois etudes transversales ont ete realisees aupres d'echantillons francophones du Quebec provenant du systeme d'education : 599 eleves du secondaire, 291 etudiants a l'Universite et 844 employes d'une commission scolaire. Cinq modeles a priori ont ete evalues a l'aide d'analyses de modelisation par equations structurales : un modele unidimensionnel, deux modeles a trois dimensions, un modele a quatre facteurs et un modele hierarchique. Les deux derniers modeles se sont averes les meilleurs. Les analyses multi-groupes revelent que le modele hierarchique etait le plus invariant parmi les differents groupes d'âges. D'autres caracteristiques psychometriques de cette version canadienne francaise du CES-D, au niveau de la fiabilite temporelle, de la consistance interne et de la validite convergente-discriminante, se sont averees satisfaisantes. Les implications concernant l'utilisation des scores des dimensions plutot que du score total de l'ensemble de la mesure sont discutees.
Benchmarking Best Practices in Web-Based Nursing Courses

This article describes the framework and process to determine best practices in online learning communities for Web-based nursing courses. The benchmarks for best practices were determined based on evidence-based research in higher education. These quality indicators were then used to develop and pilot test a benchmarking survey across three state schools of nursing. The results of the pilot test, as well as the applications and implications for benchmarking best practices, are discussed
Will There Be a Significant Change to El Niño in the Twenty-First Century?

AbstractThe El Nino–Southern Oscillation (ENSO) response to anthropogenic climate change is assessed in the following 1° nominal resolution Community Climate System Model, version 4 (CCSM4) Coupled Model Intercomparison Project phase 5 (CMIP5) simulations: twentieth-century ensemble, preindustrial control, twenty-first-century projections, and stabilized 2100–2300 “extension runs. ” ENSO variability weakens slightly with CO2; however, various significance tests reveal that changes are insignificant at all but the highest CO2 levels. Comparison with the 1850 control simulation suggests that ENSO changes may become significant on centennial time scales; the lack of signal in the twentieth- versus twenty-first-century ensembles is due to their limited duration. Changes to the mean state are consistent with previous studies: a weakening of the subtropical wind stress curl, an eastward shift of the tropical convective cells, a reduction in the zonal SST gradient, and an increase in vertical thermal stratificati.
Atoxic Derivative of Botulinum Neurotoxin A as a Prototype Molecular Vehicle for Targeted Delivery to the Neuronal Cytoplasm

We have previously described genetic constructs and expression systems that enable facile production of recombinant derivatives of botulinum neurotoxins (BoNTs) that retain the structural and trafficking properties of wt BoNTs. In this report we describe the properties of one such derivative, BoNT/A ad, which was rendered atoxic by introducing two amino acid mutations to the light chain (LC) of wt BoNT/A, and which is being developed as a molecular vehicle for delivering drugs to the neuronal cytoplasm. The neuronal binding, internalization, and intracellular trafficking of BoNT/A ad in primary hippocampal cultures was evaluated using three complimentary techniques: flow cytometry, immunohistochemistry, and Western blotting. Neuronal binding of BoNT ad was significantly increased when neurons were incubated in depolarizing medium. Flow cytometry demonstrated that BoNT/A ad internalized into neurons but not glia. After 24 hours, the majority of the neuron-bound BoNT/A ad became internalized, as determined by its resistance to pronase E-induced proteolytic degradation of proteins associated with the plasma membrane of intact cells. Significant amounts of the atoxic LC accumulated in a Triton X-100-extractable fraction of the neurons, and persisted as such for at least 11 days with no evidence of degradation. Immunocytochemical analysis demonstrated that the LC of BoNT/A ad was translocated to the neuronal cytoplasm after uptake and was specifically targeted to SNARE proteins. The atoxic LC consistently co-localized with synaptic markers SNAP-25 and VAMP-2, but was rarely co-localized with markers for early or late endosomes. These data demonstrate that BoNT/A ad mimics the trafficking properties of wt BoNT/A, confirming that our platform for designing and expressing BoNT derivatives provides an accessible system for elucidating the molecular details of BoNT trafficking, and can potentially be used to address multiple medical and biodefense needs.
Scheduling Mixed Real-Time and Non-real-Time Applications in MapReduce Environment

MapReduce scheduling is becoming a hot topic as MapReduce attracts more and more attention from both industry and academia. In this paper, we focus on the scheduling of mixed real-time and non-real-time applications in MapReduce environment, which is a challenging problem but receives only limited attention. To solve this problem, we present a two-level MapReduce scheduler built on previous techniques and make two key contributions. First, to meet the performance goal of real-time applications, we propose a deadline scheduler which adopts (1) a sampling based approach-Tasks Forward Scheduling (TFS) to predict map/reduce task execution time(unlike prior work that requires users to input an estimated value). (2) a resource allocation model-Approximately Uniform Minimum Degree of parallelism (AUMD) to dynamically control each realtime job to execute with minimum tasks assignment in any time so as to maximize the number of concurrent real-time jobs. Second, through integrating this deadline scheduler into existing MapReduce scheduler, we develop a two-level scheduler with resource preemption supported, and it could schedule mixed real-time and non-real-time jobs according to their respective performance demands. We implement our scheduler in Hadoop system and experiments running on a real, small-scale cluster demonstrate that it could schedule mixed real-time and nonreal-time jobs to meet their different quality-of-service (QoS) demands.
Specific Cooperative Analysis and Design in General Hypermedia Development

Cooperative analysis and design is often considered only to be applicable in settings where a system is being developed solely for the 'user' participants in the process. This paper, however, argues that there are good prospects in applying cooperative analysis and design techniques in specific use settings to inform development of general products. We discuss the application of cooperative - i.e. participatory - analysis and design in development of a general hypermedia framework, the DEVISE Hypermedia (OHM). A single engineering company managing one of the largest bridge/tunnel construction projects in the world was chosen as the user organization. We demonstrate how specific activities informed the general hypermedia framework and application design. Use scenarios and prototypes with example data from the users' daily work were used as sources both to trigger design ideas and new insights regarding work practice. Mutual challenging characterised the interaction between specific cooperative analysis and design activities and general development activities. People working across boundaries facilitated this interaction, and prototypes, scenarios, and concise bullet list notes were used as mediating artefacts rather than comprehensive requirement and design specifications.
Chasing the Effects of Pre-Analytical Confounders – A Multicenter Study on CSF-AD Biomarkers

Introduction Core cerebrospinal fluid (CSF) biomarkers – Aβ42, Tau, and phosphorylated Tau (pTau) – have been recently incorporated in the revised criteria for Alzheimer’s disease (AD). However, their widespread clinical application lacks standardization. Pre-analytical sample handling and storage play an important role in the reliable measurement of these biomarkers across laboratories. Aim In this study, we aim to surpass the efforts from previous studies, by employing a multicenter approach to assess the impact of less studied CSF pre-analytical confounders in AD-biomarkers quantification. Methods Four different centers participated in this study and followed the same established protocol. CSF samples were analyzed for three biomarkers (Aβ42, Tau, and pTau) and tested for different spinning conditions [temperature: room temperature (RT) vs. 4°C; speed: 500 vs. 2000 vs. 3000 g], storage volume variations (25, 50, and 75% of tube total volume), as well as freezing-thaw cycles (up to five cycles). The influence of sample routine parameters, inter-center variability, and relative value of each biomarker (reported as normal/abnormal) was analyzed. Results Centrifugation conditions did not influence biomarkers levels, except for samples with a high CSF total protein content, where either non-centrifugation or centrifugation at RT, compared to 4°C, led to higher Aβ42 levels. Reducing CSF storage volume from 75 to 50% of total tube capacity decreased Aβ42 concentration (within analytical CV of the assay), whereas no change in Tau or pTau was observed. Moreover, the concentration of Tau and pTau appears to be stable up to five freeze–thaw cycles, whereas Aβ42 levels decrease if CSF is freeze-thawed more than three times. Conclusion This systematic study reinforces the need for CSF centrifugation at 4°C prior to storage and highlights the influence of storage conditions in Aβ42 levels. This study contributes to the establishment of harmonized standard operating procedures that will help reducing inter-lab variability of CSF-AD biomarkers evaluation.
Morbidity and Mortality in Iranian Children with Juvenile Systemic Lupus erythematosus

Objective: Juvenile systemic lupus erythematosus (JSLE) is a common rheumatologic disorder that involves multi organ systems. Prognosis of lupus in children may be poorer than in adults. In this study, we determined mortality and morbidity rates in the pediatric SLE in Iran. Methods: In a cross sectional study, we evaluated 120 children with SLE who had registered in our pediatric rheumatology database within 2004-2010. Data including sex, age, remission, age at the time of diagnosis, age at the time of study, various types of organ involvement, mortality and remission were extracted from this database. Findings : From 120 cases, 77% (92 cases) were females and 23% (28 cases) males (F:M=3.3). Mean follow up period was 56±32 months and mean age at the time of manifesting disease 10.34±2.9 years. Mortality rate was 10% (12 cases) in our investigation. Musculoskeletal involvement showed significant difference between various age groups (P<0.01), that was more frequent in group of 7 years and older. Frequency of oral ulcer and ophthalmic involvement in boys was significantly higher than in girls (P<0.05). Frequency of cardiovascular involvement (P<0.01) and renal involvement (P<0.01) was significantly higher in the patients who had no remission. There was a significant association between mortality rate and cardiac (P<0.02, OR=4.9), pulmonary (P<0.01, OR=10.167) and liver (P<0.05, OR=1.19) involvement. Conclusion: In our investigation 1-year survival rate was 97% and 5-year survival rate 89%. Liver, cardiac and pulmonary involvements have an association with higher mortality in JSLE patients.
A remote sensing contribution to hydrologic modelling in arid and inaccessible watersheds, Pishin Lora basin, Pakistan

The lack of adequate field measurements often hampers the construction and calibration of rainfall‐runoff models over many of the world's watersheds. We adopted methodologies that rely heavily on readily available remote sensing datasets as viable alternatives for assessing, managing, and modelling of such remote and inadequately gauged regions. The Soil and Water Assessment Tool was selected for continuous (1998–2005) rainfall‐runoff modelling of one such area, the northeast part of the Pishin Lora basin (NEPL). Input to the model included satellite‐based Tropical Rainfall Measuring Mission precipitation data, and modelled runoff was calibrated against satellite‐based observations, the latter included: (i) monthly estimates of the water volumes impounded by the Khushdil Khan (latitude 30°40′N, longitude 67°40′E), and the Kara Lora (latitude 30°34′N, longitude 66°52′E) reservoirs, and (ii) inferred wet versus dry conditions in streams across the NEPL. Calibrations were also conducted against observed flow reported from the Burj Aziz Khan station at the NEPL outlet (latitude 30°20′N; longitude 66°35′E). Model simulations indicate that (i) average annual precipitation (1998–2005), runoff and recharge in the NEPL are 1300 × 106 m3, 148 × 106 m3, and 361 × 106 m3, respectively; (ii) within the NEPL watershed, precipitation and runoff are high for the northeast (precipitation: 194 mm/year; runoff: 38 × 106 m3/year) and northwest (134 mm/year; 26 × 106 m3/year) basins compared to the southern basin (124 mm/year; 8 × 106 m3/year); and (3) construction of delay action dams in the northeast and northwest basins could increase recharge from 361 × 106 m3/year up to 432 × 106 m3/year and achieve sustainable extraction. The adopted methodologies are not a substitute for traditional approaches, but they could provide first‐order estimates for rainfall, runoff, and recharge in the arid and semi‐arid parts of the world that are inaccessible and/or lack adequate coverage with field data. Copyright © 2011 John Wiley & Sons, Ltd.
Clinical utility of an automated immunochemiluminometric thyroglobulin assay in differentiated thyroid carcinoma.

BACKGROUND Thyroglobulin (Tg) measurements are important in the follow-up of patients with differentiated thyroid carcinoma (DTC). We evaluated the analytical and clinical performance of a new automated immunochemiluminometric assay for Tg (Tg-ICMA; Nichols Advantage Tg; Nichols Institute Diagnostics). METHODS We used the Tg-ICMA to measure Tg concentrations in serum samples from 110 Tg antibody-negative DTC patients undergoing thyroid-hormone suppression therapy. Disease state at the time of measurement was assessed on the basis of routine follow-up data. We compared the clinical performance of this assay with the routinely used IRMA (ELSA-hTG; CIS Bio International). RESULTS The detection limit and functional sensitivity of the Tg-ICMA, based on direct calibration to CRM-457, were 0.05 and 0.6 microg/L, respectively. No Tg-IRMA-positive cases were missed by the Tg-ICMA. Tg was measurable by Tg-ICMA (0.6-8.6 microg/L) but undetectable by Tg-IRMA (<1.5 microg/L) in 12 patients (11%). Clinical data showed evidence of disease in 4 of 12 patients (33%). CONCLUSIONS The Tg-ICMA is a sensitive and reproducible assay for identifying patients in follow-up for DTC with evidence of disease, but uncertainty remains with regard to interpreting findings of measurable serum Tg in patients with no evidence of disease. Follow-up data are required to determine the predictive value of these isolated Tg results. New concepts, i.e., serial Tg measurements and risk stratification of patients, need to be tested to confirm the applicability of this assay for clinical practice.
The Effect of Self-Efficacy in the Acceptance of Information Technology in the Public Sector

Purpose: In order for the organizations to realize the full benefits of the application of IT, it is important for those who have to use the technology to accept it. Knowing what makes employees accept or resist to some technology is important so that the investment made on the IT application yields a good and satisfactory return. The study is to test the success of the technology acceptance model in Yemen culture. In addition, This study aims to investigate the factors influencing the acceptance of technology in public sector such as individual defferences (self- efficacy) in the theory of technology acceptance in order to provide better understanding for the factors influencing the acceptance of information technology among the individual perceptions. The study also aimed to highlight the role of of self-efficacy in facilitating information transaction between top management and government. Methodology: survey questionnaire was distributed to 53 government utilities and 357 cases were used in the analysis. Structural Equition Modeling AMOS 18 was used for the analysis of the proposed model. Findings the study confirmed the theory of TAM and showed its potential capability in the Middle East, particularly in Yemen. the study has provided empirical evidence for the positive effect of self-efficacy on the intention behaviour to use towards the actual usage for the technology throughout the positive effect on preceived usefulness and ease of use. Empirical evidence has shown that the employees and managers have the capability to use the technology. Significance: This study has provided empirical evidence for the effects of new technology determinants in the government sector. In particular, it has successfully revealed that computer self-efficacy is important determinants in influencing the adoption of technologies. Also for the practicul usage, the study contributed to the empirical knowledge to increase the success rate for accepting or adopting the information technology in the government sector.