Miracle-dz/UniFAR-FTUs huggingface dataset:
Nature of L2 negotiation and co-construction of meaning in a problem-based virtual learning environment: a mixed methods study

Adopting a Socio-Constructivist theoretical framework, this study investigated the French language discourse produced by a focal group of five intermediate learners of French while immersed in a virtual learning environment (VLE) and engaged in a problem-based activity. Adopting a mixed methods approach, this study analyzed both quantitative and qualitative data to examine the second language (L2) negotiation and co-construction of meaning process in this group's discourse; as well, it investigated these learners' emerging L2 critical thinking, problem solving, and technology literacy skills. Results indicated that the discourse produced by these students was significantly impacted by the problem-based activity itself, and characterized by a progressive trend towards higher levels of L2 critical thinking, with sustained episodes of negotiation and co-construction of meaning. Most notably, the discourse analysis indicated that it was during the consensus-building phase of the problem-based activity that most instances of higher level critical thinking occurred. Moreover, the 3-D representation of learners (as avatars) and space, as well as the immediacy of synchronous chat-based interactions in the VLE had a positive social, motivational, and linguistic impact on this process. These results lend support to the claim that VLEs, with an underlying problem-based and consensus-building component, provide optimal learning opportunities for learners to develop L2 critical thinking and problem solving abilities. Discussion is offered about the benefits of a mixed methods approach to research, as well as about the reliability and validity of Hull & Saxon's (2009) Interaction Analysis model for L2 discourse analysis. Implications for the L2 classroom as well as for future research on L2 negotiation of meaning are also provided.
KEDMA—Linguistic Tools for Retrieval Systems

In a full-text natural-language retrieval system, frequent need for automatic hngulst~c analysis arises, e.g for keyword expansion in a search process, content analysis, or automatic construction of concordances The avadablhty of sophisticated hngulstic tools, which is highly desirable for languages such as Enghsh, is quite imperative for, say, Semmc languages, whose complex morphological structure renders simple-minded and approximate soluuons such as suffix stripping totally useless. Sophisticated tools were designed and constructed via the fusion of grammatical analysis and grammatical synthesis, resulting in a set of global files which provide in some sense a complete grammatical and lexlcal description of the language These files induce a set of local files which adapt to the database at hand and permit flexible on-hne morphological analysis.
Cervical thoracic duct cysts: a case report and review of the literature.

Thoracic duct cysts are uncommon entities that most commonly occur in the abdominal and thoracic segments of the thoracic duct; the rarest reported location is the cervical segment. The first case of a cervical thoracic duct cyst was reported in 1964, 1 and a review of the literature that was published in 1999 identified only 10 such cases. 2 We describe a patient with a thoracic duct cyst, review the relevant literature, and discuss the characteristics, treatment, and diagnosis of these lesions.
Agrobacterium tumefaciens-mediated transformation of Cleome gynandra L., a C4 dicotyledon that is closely related to Arabidopsis thaliana

In leaves of most C4 plants, the biochemistry of photosynthesis is partitioned between mesophyll and bundle sheath cells. In addition, their cell biology and development also differs from that in C3 plants. We have a poor understanding of the mechanisms that generate the cell-specific accumulation of proteins used in the C4 pathway, and there are few genes that have been shown to be important for the cell biology and development of C4 leaves. To facilitate functional analysis of C4 photosynthesis, and to enable knowledge from Arabidopsis thaliana to be translated to C4 species, an Agrobacterium tumefaciens-mediated transformation protocol was developed for the C4 species Cleome gynandra. A. tumefaciens, harbouring the binary vector SLJ1006, was used to transfer the uidA gene under the control of the CaMV 35S promoter into C. gynandra. Co-incubation of hypocotyls or cotyledons with SLJ1006 allowed efficient transfer of DNA into C. gynandra, and media that allowed callus production and then shoot regeneration were identified. Stable transformants of C. gynandra with detectable amounts of β-glucuronidase (GUS) were produced at an efficiency of 14%. When driven by the CaMV 35S promoter, GUS was visible in all leaf cells, whereas uidA translationally fused to a CgRbcS gene generated GUS accumulation specifically in bundle sheath cells. This transformation procedure is the first for an NAD-ME type C4 plant and should significantly accelerate the analysis of mechanisms underlying C4 photosynthesis.
Factors effective on medication errors: A nursing view

Objective: Medication errors are the most common medical errors, which may result in some complications for patients. This study was carried out to investigate what influence medication errors by nurses from their viewpoint. Methods: In this descriptive study, 150 nurses who were working in Qazvin Medical University teaching hospitals were selected by proportional random sampling, and data were collected by means of a researcher-made questionnaire including demographic attributes (age, gender, working experience,…), and contributing factors in medication errors (in three categories including nurse-related, management-related, and environment-related factors). Findings: The mean age of the participant nurses was 30.7 ± 6.5 years. Most of them (87.1%) were female with a Bachelor of Sciences degree (86.7%) in nursing. The mean of their overtime working was 64.8 ± 38 h/month. The results showed that the nurse-related factors are the most effective factors (55.44 ± 9.14) while the factors related to the management system (52.84 ± 11.24) and the ward environment (44.0 ± 10.89) are respectively less effective. The difference between these three groups was significant (P = 0.000). In each aforementioned category, the most effective factor on medication error (ranked from the most effective to the least effective) were as follow: The nurse's inadequate attention (98.7%), the errors occurring in the transfer of medication orders from the patient's file to kardex (96.6%) and the ward's heavy workload (86.7%). Conclusion: In this study nurse-related factors were the most effective factors on medication errors, but nurses are one of the members of health-care providing team, so their performance must be considered in the context of the health-care system like work force condition, rules and regulations, drug manufacturing that might impact nurses performance, so it could not be possible to prevent medication errors without paying attention to our health-care system in a holistic approach.
The role of mitochondrial haplogroups in glaucoma: a study in an Arab population

Purpose Glaucoma prevalence can vary geographically and ethnically, which suggests that a genetic element could play a significant role. Studies investigating the role of various mitochondrial haplogroups in the pathogenesis of glaucoma are scarce. Methods We compared the prevalence of different mitochondrial haplogroups in 107 glaucoma patients (49 primary open-angle glaucoma, POAG; 29 primary angle-closure glaucoma, PACG; and 29 pseudoexfoliation glaucoma, PEG) and 552 maternally unrelated normal controls. All patients and controls were Saudi Arabs. Results There was no statistically significant difference between patients and controls for all mitochondrial haplogroups tested except for PACG patients with mitochondrial haplogroup preHV1 (odds ratio=4.9; 95% CI 2.3 – 10.5; p=0.00002). Conclusions Patients with preHV1 mitochondrial haplogroups are at higher risk of developing PACG. However, our study group is relatively small and further studies with more patients in other populations are needed to confirm this interesting finding.
Computing a null divergence velocity ﬁeld using smoothed particle hydrodynamics

A new use of smoothed particle hydrodynamics (SPH) in ﬂuid simulation is presented: an algorithm solving the Helmholtz-Hodge decomposition using SPH in order to ﬁnd the null divergence velocity ﬁeld for incompressible ﬂow simulation. Accordingly, a new version of the Laplacian for a vector ﬁeld is proposed here. In order to improve the accuracy of the SPH technique, the paper also presents some test problems for understanding the limitations of diﬀerent kinds of gradient and Laplacian approximation formulas.
Online Gaming Addiction? Motives Predict Addictive Play Behavior in Massively Multiplayer Online Role-Playing Games

Recently, there have been growing concerns about excessive online gaming. Playing Massively Multiplayer Online Role-Playing Games (MMORPGs) appears to be particularly problematic, because these games require a high degree of commitment and time investment from the players to the detriment of occupational, social, and other recreational activities and relations. A number of gaming motives have been linked to excessive online gaming in adolescents and young adults. We assessed 175 current MMORPG players and 90 nonplayers using a Web-based questionnaire regarding their gaming behavior, problems as consequences of gaming, and game motivations and tested their statistical associations. Results indicated that (a) MMORPG players are significantly more likely to experience gaming-related problems relative to nonplayers, and that (b) the gaming motivations escapism and mechanics significantly predicted excessive gaming and appeared as stronger predictors than time investment in game. The findings support the necessity of using measures that distinguish between different types of online games. In addition, this study proves useful regarding the current discussion on establishing (online) gaming addiction as a diagnosis in future categorizations of psychopathology.
Analyzing Proteomes and Protein Function Using Graphical Comparative Analysis of Tandem Mass Spectrometry Results*

Although generating large amounts of proteomic data using tandem mass spectrometry has become routine, there is currently no single set of comprehensive tools for the rigorous analysis of tandem mass spectrometry results given the large variety of possible experimental aims. Currently available applications are typically designed for displaying proteins and posttranslational modifications from the point of view of the mass spectrometrist and are not versatile enough to allow investigators to develop biological models of protein function, protein structure, or cell state. In addition, storage and dissemination of mass spectrometry-based proteomic data are problems facing the scientific community. To address these issues, we have developed a relational database model that efficiently stores and manages large amounts of tandem mass spectrometry results. We have developed an integrated suite of multifunctional analysis software for interpreting, comparing, and displaying these results. Our system, Bioinformatic Graphical Comparative Analysis Tools (BIGCAT), allows sophisticated analysis of tandem mass spectrometry results in a biologically intuitive format and provides a solution to many data storage and dissemination issues.
A preliminary study on Jatropha curcas as coagulant in wastewater treatment

Many coagulants, mainly inorganic, are widely used in conventional water and wastewater treatment. Recent studies reported the occurrence of some chronic diseases associated with residual coagulant in treated wastewater. The use of alternative coagulants which are biodegradable and environmentally friendly could alleviate the problem associated with these diseases. This work investigates the capability of Jatropha curcas seed and presscake (the residue left after oil extraction) to reduce the turbidity of wastewater through coagulation. The coagulant was prepared by dissolving Jatropha curcas seed and presscake powder into solution. Then jar tests were conducted on kaolin solution as the model wastewater. The Jatropha seed was found to be an effective coagulant with more than 96% of turbidity removal at pH 1–3 and pH 11–12. The highest turbidity removal was recorded at pH 3 using a dosage of 120 mg/L. The flocs formed using Jatropha were observed to be bigger and to sediment faster when compared with flocs formed using alum. The turbidity removal was high (>98%) at all turbidities (100 NTU to 8000 NTU), suggesting its suitability for a wide range of industrial wastewater. The performance of Jatropha presscake after extraction of oil was also comparable to the fresh seed and alum at highly acidic and highly alkaline conditions. The addition of Jatropha did not significantly affect the pH of the kaolin samples after treatment and the sludge volume produced was less in comparison to alum. These results strongly support the use of Jatropha curcas seed and presscake as a potential coagulant agent.
Three Dimensions of Pitched Instrument Onset Detection

In this paper, we suggest a novel group delay based method for the onset detection of pitched instruments. It is proposed to approach the problem of onset detection by examining three dimensions separately: phase (i.e., group delay), magnitude and pitch. The evaluation of the suggested onset detectors for phase, pitch and magnitude is performed using a new publicly available and fully onset annotated database of monophonic recordings which is balanced in terms of included instruments and onset samples per instrument, while it contains different performance styles. Results show that the accuracy of onset detection depends on the type of instruments as well as on the style of performance. Combining the information contained in the three dimensions by means of a fusion at decision level leads to an improvement of onset detection by about 8% in terms of F-measure, compared to the best single dimension.
Constructs of burden of illness in older patients with breast cancer: a comparison of measurement methods.

OBJECTIVE The burden of illness can influence treatment decisions, but there are limited data comparing the performance of different illness burden measures. We assessed the correlations between five previously validated measures of illness burden and global health and physical function and evaluated how each measure correlates with breast cancer treatment patterns in older women. DATA SOURCE A cohort of 718 women > 67 years with early-stage breast cancer formed the study group. STUDY DESIGN/DATA COLLECTION METHODS: The study made a cross-sectional comparison of illness burden measures (Charlson index, Index of Co-existent Diseases, cardiopulmonary burden of illness, patient-specific life expectancy, and disease counts) and physical function and self-rated global health status. Data were collected from records and patient interviews. PRINCIPAL FINDINGS All of the measures were significantly correlated with each other and with physical function and self-rated health (p < .001). After controlling for age and stage, life expectancy had the largest effect on surgical treatment, followed by self-rated physical function and health; life expectancy was also independent of physical function. For instance, women with higher life expectancy and better self-rated physical function and health were more likely to receive breast conservation and radiation than sicker women. Women with higher physical functioning were more likely to receive adjuvant chemotherapy than women with lower functioning. CONCLUSIONS Several measures of illness burden were associated with breast cancer therapy, but each measure accounted for only a small amount of variance in treatment patterns. Future work is needed to develop and validate measures of burden of illness that are feasible, comprehensive, and relevant for diverse clinical and health services objectives.
Dependence of Heliospheric Lyα Absorption on the Interstellar Magnetic Field

We use newly developed three-dimensional kinetic MHD models of the heliosphere to predict heliospheric H I Lyα absorption for various lines of sight. These predictions are compared with actual Lyα spectra from the Hubble Space Telescope, many of which have yielded previous detections of heliospheric absorption. We find that the absorption predicted by the models is weakly affected by both the magnitude and orientation of the assumed interstellar medium (ISM) magnetic field. Models with B = 1.25-2.5 μG and an angle of α = 15°-45° with respect to the upwind direction of the ISM flow generally provide the best fits to the data, but the sensitivity of the Lyα absorption to many model input parameters makes it difficult to fully characterize the region of parameter space allowed by the data. We also use the models to assess the degree to which heliospheric asymmetries induced by the ISM field should be apparent in Lyα absorption. An ISM field that is skewed with respect to the ISM flow vector results in substantial azimuthal asymmetries in both the hydrogen wall and heliosheath, but only the heliosheath asymmetries yield potentially detectable asymmetries in Lyα absorption; and then only in downwind directions, where comparison with the data is complicated by few actual absorption detections and an insufficient model grid extent.
Photochemically induced endothelial injury in the mouse as a screening model for inhibitors of vascular intimal thickening.

We have established a mouse model of intimal thickening and assessed its suitability for experimental studies of intimal thickening. Neointimal formation was observed after endothelial injury by photochemical reaction between transluminal green light and systemically administered rose Bengal, which represents a nonmechanical approach to vessel wall denudation. Intimal thickening began 7 days after endothelial injury, reached a maximum after 21 days, and then remained unchanged for as long as 42 days. Furthermore, as a consequence of neointimal proliferation, the luminal area gradually decreased. The cells in the neointimal layer were identified as smooth muscle cells by immunohistochemical staining with an alpha-actin-specific antibody. Extracellular matrix deposition in the neointima was markedly increased beyond 14 days after injury. Smooth muscle cell proliferation, as measured by pulse labeling of 5-bromo-2'-deoxyuridine, was identified initially in the media 2 days after vessel wall denudation, with the proliferative activity's shifting almost exclusively to the neointima within 7 days. Endothelial regeneration, as indicated by Evans blue staining, was complete within 21 days after injury. To assess the suitability of this model for experimental studies on intimal thickening, the effect of tranilast, an antiallergy drug with a broad spectrum of pharmacological actions on intimal thickening, was investigated. Tranilast (100 mg x kg(-1) x d(-1) p.o. ) significantly (P<0.05) reduced smooth muscle cell proliferation in the neointima and media 7 days after injury and neointimal formation 21 days after injury in treated mice compared with vehicle-treated mice. This simple experimental mouse model is suitable for studying factors promoting or inhibiting intimal thickening after endothelial injury and for developing therapeutic strategies against intimal thickening.
Association between dietary fat intake and age-related macular degeneration in the Carotenoids in Age-Related Eye Disease Study (CAREDS): an ancillary study of the Women's Health Initiative.

OBJECTIVE To evaluate the relationships between the amount and type of dietary fat and intermediate age-related macular degeneration (AMD). DESIGN Women aged 50 to 79 years with high and low lutein intake from 3 sites of the Women's Health Initiative Observational Study were recruited into the Carotenoids in Age-Related Eye Disease Study. Fat intake from 1994 through 1998 was estimated using food frequency questionnaires, and AMD was assessed photographically from 2001 through 2004. RESULTS Intakes of omega-6 and omega-3 polyunsaturated fatty acids, which were highly correlated (r = 0.8), were associated with approximately 2-fold higher prevalence of intermediate AMD in high vs low quintiles. However, monounsaturated fatty acid intake was associated with lower prevalence. Age interactions were often observed. In women younger than 75 years (n = 1325), total fat and saturated fatty acid intakes were associated with increased prevalence of AMD (multivariate adjusted odds ratios [95% confidence interval] for intermediate AMD, 1.7 [1.0-2.7] for quintile 5 vs quintile 1 for total fat [P = .10 for trend] and 1.6 [0.7-3.6] for saturated fatty acids [P = .23 for trend]). The associations were reversed in older women. CONCLUSIONS These results support a growing body of evidence suggesting that diets high in several types of fat may contribute to the risk of intermediate AMD and that diets high in monounsaturated fatty acids may be protective.
A Novel Algorithm for the Automatic Detection of Sleep Apnea From Single-Lead ECG

Goal: This paper presents a methodology for the automatic detection of sleep apnea from single-lead ECG. Methods: It uses two novel features derived from the ECG, and two well-known features in heart rate variability analysis, namely the standard deviation and the serial correlation coefficients of the RR interval time series. The first novel feature uses the principal components of the QRS complexes, and it describes changes in their morphology caused by an increased sympathetic activity during apnea. The second novel feature extracts the information shared between respiration and heart rate using orthogonal subspace projections. Respiratory information is derived from the ECG by means of three state-of-the-art algorithms, which are implemented and compared here. All features are used as input to a least-squares support vector machines classifier, using an RBF kernel. In total, 80 ECG recordings were included in the study. Results: Accuracies of about 85% are achieved on a minute-by-minute basis, for two independent datasets including both hypopneas and apneas together. Separation between apnea and normal recordings is achieved with 100% accuracy. In addition to apnea classification, the proposed methodology determines the contamination level of each ECG minute. Conclusion: The performances achieved are comparable with those reported in the literature for fully automated algorithms. Significance: These results indicate that the use of only ECG sensors can achieve good accuracies in the detection of sleep apnea. Moreover, the contamination level of each ECG segment can be used to automatically detect artefacts, and to highlight segments that require further visual inspection.