Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical profile and outcome of patients hospitalized with dimethyl and diethyl organophosphate poisoning

The two major classes of organophosphate compounds, dimethyl and diethyl organophosphates, have different toxicokinetic properties. This study evaluated the clinical profile and outcomes in patients admitted with poisoning with these two classes of organophosphates. Methods. This retrospective study spanned 6 years (2002–2007). Patients were treated with atropine and supportive care including ventilation, as required, and followed up until death or hospital discharge. Oximes were not administered. Of the 422 charts retrieved, 396 fulfilled inclusion criteria. Data on the clinical profile, ventilation, length of hospital stay, incidence of intermediate syndrome and mortality were extracted. Results. The mean (±standard deviation) age was 31.4 ± 12.7 years with a male preponderance (2.6:1). The median (interquartile range (IQR)) admission pseudocholinesterase level of 317 (222–635) U/L indicated significant inhibition of cholinesterase activity. The median lag-time to presentation to our hospital was 5 (IQR 3–8.5) hours. Oximes were administered at a primary center in 33 patients (8.3%). Dimethyl organophosphate was ingested by 141 patients, diethyl organophosphate by 108, S-alkyl organophosphate by 2, and an un-identified organophosphate by 145 patients. Ventilation was required in 260 patients (65.7%); the median duration of ventilation being 7.5 (IQR 3–12) days. Overall mortality was 13.1%. There was a significant difference between dimethyl and diethyl organophosphate compounds in ventilatory requirement (76% vs. 56%, adjusted odds ratio (OR) 2.37, 95% CI 1.01–5.57, p = 0.047), duration of ventilation (11 (4–15) vs. 5 (2–9) days, adjusted OR 1.12, 95%CI 1.04–1.21, p = 0.002) and incidence of intermediate syndrome (72/125 (58%) vs. 24/92 (26%), adjusted OR 2.84, 95%CI 1.38–5.86, p = 0.004). Mortality was similar in the two groups (20/141 (14%) vs. 7/108 (6%), dimethyl vs. diethyl organophosphate, adjusted OR 1.29, 95%CI 0.43–3.94, p = 0.65). Conclusions. Patients admitted with dimethyl organophosphate poisoning have a worse outcome compared with diethyl organophosphate poisoning for clinically relevant patient outcomes.
Long-term Treatment with Oriental Medicinal Herb Artemisia princeps Alters Neuroplasticity in a Rat Model of Ovarian Hormone Deficiency

Artemisia princeps (AP) is a flowering perennial used as a traditional medicine and dietary supplement across East Asia. No study has yet assessed its effects on synaptic plasticity in hippocampus and much less in a model of ovarian hormone deficiency. We examined the influence of chronic oral AP ethanol extract treatment in ovariectomized rats on the induction of long-term depression in a representative synapse (CA3-CA1) of the hippocampus. Ovariectomized rats demonstrated lower trabecular mean bone mineral densities than sham, validating the establishment of pathology. Against this background of pathology, AP-treated ovariectomized rats exhibited attenuated long-term depression (LTD) in CA1 relative to water-treated controls as measured by increased field excitatory post-synaptic potentials (fEPSP) activation averages over the post-stimulation period. While pathological significance of long-term depression (LTD) in ovariectomized rats is conflicting, that AP treatment significantly affected its induction offers justification for further study of its influences on plasticity and its related disorders.
Genetic Requirements for Signaling from an Autoactive Plant NB-LRR Intracellular Innate Immune Receptor

Plants react to pathogen attack via recognition of, and response to, pathogen-specific molecules at the cell surface and inside the cell. Pathogen effectors (virulence factors) are monitored by intracellular nucleotide-binding leucine-rich repeat (NB-LRR) sensor proteins in plants and mammals. Here, we study the genetic requirements for defense responses of an autoactive mutant of ADR1-L2, an Arabidopsis coiled-coil (CC)-NB-LRR protein. ADR1-L2 functions upstream of salicylic acid (SA) accumulation in several defense contexts, and it can act in this context as a “helper” to transduce specific microbial activation signals from “sensor” NB-LRRs. This helper activity does not require an intact P-loop. ADR1-L2 and another of two closely related members of this small NB-LRR family are also required for propagation of unregulated runaway cell death (rcd) in an lsd1 mutant. We demonstrate here that, in this particular context, ADR1-L2 function is P-loop dependent. We generated an autoactive missense mutation, ADR1-L2D484V, in a small homology motif termed MHD. Expression of ADR1-L2D848V leads to dwarfed plants that exhibit increased disease resistance and constitutively high SA levels. The morphological phenotype also requires an intact P-loop, suggesting that these ADR1-L2D484V phenotypes reflect canonical activation of this NB-LRR protein. We used ADR1-L2D484V to define genetic requirements for signaling. Signaling from ADR1-L2D484V does not require NADPH oxidase and is negatively regulated by EDS1 and AtMC1. Transcriptional regulation of ADR1-L2D484V is correlated with its phenotypic outputs; these outputs are both SA–dependent and –independent. The genetic requirements for ADR1-L2D484V activity resemble those that regulate an SA–gradient-dependent signal amplification of defense and cell death signaling initially observed in the absence of LSD1. Importantly, ADR1-L2D484V autoactivation signaling is controlled by both EDS1 and SA in separable, but linked pathways. These data allows us to propose a genetic model that provides insight into an SA–dependent feedback regulation loop, which, surprisingly, includes ADR1-L2.
A compiler cost model for speculative multithreading chip-multiprocessor architectures

Speculative parallelisation (also known as speculative multithreading and thread-level speculation) is a technique that complements automatic compiler parallelisation by allowing code sections that cannot be fully analysed by the compiler to be aggressively executed in parallel. However, while speculative parallelisation can potentially deliver significant speedups, several overheads associated with this technique can limit these speedups in practice. This thesis proposes a novel compiler static cost model of speculative multithreaded execution that can be used to predict the resulting performance. This model attempts to predict the expected speedups, or slowdowns, of the candidate speculative sections based on the estimation of the combined run-time effects of various speculation overheads, and taking into account the scheduling restrictions of most speculative multithreading execution environments. The model is based on estimating the likely execution duration of threads and considers all the possible permutations of these threads when scheduled on a multiprocessor. Also, different from heuristics that attempt to qualitatively estimate potentially “good” or “bad” sections for speculative multithreaded execution, this model allows the compiler to estimate the speedup or slowdown quantitatively. Such quantitative estimate can then be used by the compiler or run-time system to make more complex and educated tradeoff decisions. The proposed cost model was implemented in a research compiler development framework. The model seamlessly uses the compiler’s intermediate representation and integrates with the control and data flow analyses. The resulting framework was tested and evaluated on a collection of SPEC benchmarks, which include large real-world scientific and engineering applications. The framework was found to be very stable and efficient with moderate compilation times. Initially, the proposed framework is evaluated on a number of loops that suffer mainly from load imbalance and thread dispatch and commit overheads. Experimental results show that the framework can identify on average 68% of the loops that cause slowdowns and on average 97% of the loops that lead to speedups. In fact, the framework predicts the speedups or slowdowns with an error of less than 20% for an average of 44% of the loops across the benchmarks, and with an error of less than 50% for an average of 84% of the loops. Overall, the framework leads to a performance improvement of 5% on average, and as high as 38%, over a naive approach that attempts to
Model selection in high-dimensional noisy data: a simulation study

ABSTRACT In many practical applications, high-dimensional regression analyses have to take into account measurement error in the covariates. It is thus necessary to extend regularization methods, that can handle the situation where the number of covariates p largely exceed the sample size n, to the case in which covariates are also mismeasured. A variety of methods are available in this context, but many of them rely on knowledge about the measurement error and the structure of its covariance matrix. In this paper, we set the goal to compare some of these methods, focusing on situations relevant for practical applications. In particular, we will evaluate these methods in setups in which the measurement error distribution and dependence structure are not known and have to be estimated from data. Our focus is on variable selection, and the evaluation is based on extensive simulations.
An oceanic composition on early and today's Enceladus

The oceanic composition on Saturn's moon Enceladus is evaluated through calculations of thermochemical equilibria at hydrothermal and freezing settings. Conditions of rock alteration are constrained from assumptions and models for the moon's interior composition and thermal evolution, and from the composition of Enceladus' plume. Results show that an early ocean was an alkaline Na+‐Cl−‐HCO3− solution. Underlying altered rocks consisted of Mg‐phyllosilicates, magnetite, Fe and Ni sulfides, and carbonates. Subsequent freezing of oceanic water caused the deposition of a NaCl hydrate, Na, K and Ca carbonates, and the formation of a salt‐free ice shell. If an aqueous phase exists on today's Enceladus, it could consist of eutectic Na‐Cl‐HCO3− brine that at least locally decouples the ice shell and facilitates tidal heating. A lack of firm detection of Na and Cl at Enceladus is consistent with the accumulation of salts at the ice‐rock boundary and implies the plume formation via sublimation in the ice shell.
Factors Influencing Internal Medicine Resident Choice of Infectious Diseases or Other Specialties: A National Cross-sectional Study.

BACKGROUND Only 49% of infectious diseases (ID) fellowship programs were filled in 2015 through the national match, but little is known about internal medicine (IM) resident perceptions of ID and factors related to IM resident career choice. METHODS We conducted 25 interviews and disseminated a Web-based survey to graduating IM residents in the United States utilizing a 2-stage sampling strategy. Participants were categorized into 3 groups based on interest in ID: (1) applied/intended to apply to ID; (2) interested in ID but did not apply; (3) never interested in ID. We conducted all analysis using poststratification adjustment weights with survey data analysis procedures. RESULTS Of the 590 participants, 42 (7%) selected category 1, 188 (32%) category 2, and 360 (61%) category 3. Most (65%) developed an interest in their ultimate career before residency. Of those interested in ID, >52% rated their ID medical school curriculum as very good and influential on their interest in ID. Ninety-one percent of category 2 participants felt mentorship was influential on career choice, although 43% identified an ID mentor. Category 2 chose salary as the most dissuading factor and the most likely intervention to increase ID interest. CONCLUSIONS In this nationally representative sample of graduating IM residents, most develop an interest in their ultimate career before residency. Factors influencing this decision reside in both medical school and residency, which is consistent with career decision-making constructs. By identifying career determining factors and understanding how they fit into medical training frameworks, we can develop targeted initiatives to reinvigorate interest in ID.
Genetic and Epigenetic Inactivation of Extracellular Superoxide Dismutase Promotes an Invasive Phenotype in Human Lung Cancer by Disrupting ECM Homeostasis

Extracellular superoxide dismutase (EcSOD) is an important superoxide scavenger in the lung in which its loss, sequence variation, or abnormal expression contributes to lung diseases; however, the role of EcSOD in lung cancer has yet to be studied. We hypothesized that EcSOD loss could affect malignant progression in lung, and could be either genetic or epigenetic in nature. To test this, we analyzed EcSOD expression, gene copy number, promoter methylation, and chromatin accessibility in normal lung and carcinoma cells. We found that normal airway epithelial cells expressed abundant EcSOD and had an unmethylated promoter, whereas EcSOD-negative lung cancer cells displayed aberrant promoter hypermethylation and decreased chromatin accessibility. 5-aza-dC induced EcSOD suggesting that cytosine methylation was causal, in part, to silencing. In 48/50 lung tumors, EcSOD mRNA was significantly lower as early as stage I, and the EcSOD promoter was hypermethylated in 8/10 (80%) adenocarcinomas compared with 0/5 normal lung samples. In addition, 20% of the tumors showed loss of heterozygosity (LOH) of EcSOD. Reexpression of EcSOD attenuated the malignant phenotype of lung carcinoma cells by significantly decreasing invasion and survival. Finally, EcSOD decreased heparanase and syndecan-1 mRNAs in part by reducing NF-κB. By contrast, MnSOD and CuZnSOD showed no significant changes in lung tumors and had no effect on heparanase expression. Taken together, the loss of EcSOD expression is unique among the superoxide dismutases in lung cancer and is the result of EcSOD promoter methylation and LOH, suggesting that its early loss may contribute to ECM remodeling and malignant progression. Mol Cancer Res; 10(1); 40–51. ©2011 AACR.
The Effects of Syllable and Utterance Position on Tongue Shape and Gestural Magnitude in /l/ and /r/

This paper is an ultrasound-based articulatory study of the impact of syllable-position and utterance position on tongue shape and tongue-gesture magnitude in liquid consonants in American, Irish and Scottish English. Mixed effects modelling was used to analyse variation in normalised tonguegesture magnitude for /r/ and /l/ in syllable-onset and coda position and in utterance-initial, medial and final position. Variation between onset and coda mean midsagittal tongue surfaces was also quantified using normalised root-mean-square distances, and patterns of articulatory onset-coda allophony were identified. Despite the fact that some speakers in all varieties used tip-up /r/ in syllable-onset position and bunched /r/ in coda position, RMS distance results show greater degrees of similarity between onset and coda /r/ than between onset and coda /l/. Gesture magnitude was significantly reduced for both /l/ and /r/ in coda position. Utterance position had a significant effect on /l/ only.
Mitigating Type Confusion on Java Card

One of the challenges for smart card deployment is the security interoperability. A smart card resistant to an attack on a given platform should be able to guarantee the same behavior on another platform. But the current implementations do not comply with this requirement. In order to improve such standardization we propose a framework based on annotations with an external pre-processing to switch the Java Card Virtual Machine (JCVM) into a secure mode by activating a set of countermeasures. An example has been proposed in this paper for implementing a countermeasure against type confusion with a fault attack. Smart cards are often the target of software, hardware or combined attacks. In recent days most of the attacks are based on fault injection which can modify the behavior of applications loaded onto the card, changing them into mutant applications. This countermeasure requires a transformation of the original program byte codes which remain semantically equivalent. It needs a modification of the JCVM which stays backward compatible and a dedicated framework to deploy these applications. Thus, the proposed platform can resist to a fault enabled mutant.
The Evaluation and the Comparison of the Effect of Without Engine Power and Power Mechanical Systems on Rice Weed

In order to study the influence of different method s of controlling weeds such as mechanical weeding and me chanical weeder efficiency analysis in mechanical cultivatio n conditions, in farming year of 2011 an experiment was done in a fa rm in coupling and development of technology center in Haraz,Iran. The treatments consisted of (I) control treatment: where no weeding was done, (II) use of mechanical weeding without engine and (III) power mechanical weeding. Results showed that experimenta l tre tments had significantly different effects (p=0.05) on yie ld traits and number of filled grains per panicle, while treatments had the significant effects on grain weight and dry weight of weeds in the first, second and third weeding methods at 1% of confidence level . Treatment (II) had its most significant effect on number of filled grains per panicle and yield performance standpoint, which was 3705.97 kg ha in its highest peak. Treatment (III) was ranked as second influential with 3559.8 kg ha . In addition, under (I) treatments, 2364.73 kg ha -1 of yield produced. The minimum dry weights of weeds in all weeding methods were related to the treatment (II), (III) a nd (I), respectively. The correlation coefficient analysis showed that to tal yield had a significant positive correlation with the panicle g rain yield per plant (r= 0.55*) and the number of grains per panicle -1 (r= 0.57*) and the number of filled grains (r= 0.63*). Total rice yiel d also had negative correlation of r= -0. 64* with weed dry weight at s econd weed sampling time (17 DAT). The weed dry weight at thir d and fourth sampling times (24 and 40 DAT) had negative correla tions of -0.65** and r=-0.61* with rice yield, respectively. Keywords—dry weight; without engine mechanical weeder; power mechanical weeder; yield rice .
Short communication: Prevalence of Entamoeba histolytica and Entamoeba dispar in northern Ghana

Since the redescription of the potentially invasive Entamoeba histolytica, separating it from the morphologically identical non‐invasive Entamoeba dispar, there is a need for the reassessment of epidemiological data on amoebiasis. In this context we conducted a descriptive survey on the presence of E. histolytica and E. dispar in a rural area in northern Ghana. We found a high prevalence (39.8%) of the E. histolytica/E. dispar complex with microscopy, but E. histolytica and E. dispar‐specific DNA amplification using real‐time polymerase chain reaction identified only one E. histolytica case and revealed a considerably higher prevalence of E. dispar (82.8%).
Arm's Length Financing and Innovation: Evidence from Publicly Traded Firms

Using a large panel of U.S. companies, I document that firms that rely more on arm’s length financing, such as public debt and equity, innovate more and have higher-quality innovations than firms that use other sources, such as relationship-based bank financing. I hypothesize that one possible reason for this finding is the greater flexibility and tolerance to experimentation associated with arm’s length financing. I find support for this hypothesis by showing that firms with more arm’s length financing have greater volatility of innovative output, and are more likely to innovate in new technological areas. Furthermore, focusing only on bank financing, I demonstrate that firms have more novel innovations if they borrow from multiple banks, use predominantly credit lines, and have less intense covenants. I address potential endogeneity concerns by using instrumental variable analysis, and by showing that innovation increases significantly after new public debt offerings and seasoned equity offerings, but does not change after new bank loans. This paper was accepted by Gustavo Manso, finance .
An Assessment of Combining Tourism Demand Forecasts over Different Time Horizons

This study investigates the performance of combination forecasts in comparison to individual forecasts. The empirical study focuses on the U.K. outbound leisure tourism demand for the United States. The combination forecasts are based on the competing forecasts generated from seven individual forecasting techniques. The three combination methods examined in this study are the simple average combination method, the variance–covariance combination method, and the discounted mean square forecast error method. The empirical results suggest that combination forecasts overall play an important role in the improvement of forecasting accuracy in that they are superior to the best of the individual forecasts over different forecasting horizons. The variance–covariance combination method turns out to be the best among the three combination methods. Another finding is that the encompassing test does not significantly contribute to the improved accuracy of combination forecasts. This study provides robust evidence for the efficiency of combination forecasts.
Annual ryegrass and Festulolium as companion crops in the establishment of perennial forage crops

Abstract: Annual companion crops are often used in new seedings of perennial forages in western Canada. Fast-establishing grass species that do not overwinter in this region have potential as companion crops to increase seeding year yields without reducing perennial forage establishment. Trials were seeded in two different years at Saskatoon and Melfort, SK, in the Dark Brown and Black soil zones, respectively. Crested wheatgrass [Agropyron cristatum (L.) Gaertn. ], meadow bromegrass (Bromus riparius Rehm.), and alfalfa (Medicago sativa L.) were seeded in pure stands and mixtures with or without an annual ryegrass (Lolium multiflorum Lam.) or Festulolium (Lolium × Festuca) companion crop at two seeding rates. Forage dry matter yield in the establishment year was increased with annual ryegrass companion crops compared with no companion crop regardless of seeding rate, but was increased only with the higher rate of Festulolium at Saskatoon. Despite using low companion crop seeding rates, stand densities of most of the perennial forage stands were lower than with no companion crop at Saskatoon, but in Melfort, most stand densities did not differ. The annual ryegrass companion crop reduced yields the year after seeding at both sites, while the Festulolium also reduced yields, but not at Melfort for the lower companion crop seeding rate. Dry matter yields were usually not different between companion and no companion crop treatments in the second year after seeding and for 3-yr total yields. The use of these companion crops increased the percentage of the 3-yr total yield produced in the seeding year.
Canadian Optimal Medication Prescribing and Utilization Service Academic Detailing Upskilling Document Proton Pump Inhibitors

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