The "Parzival" of Wolfram von Eschenbach

Originally published in 1951, this collaboration of two accomplished translators resulted in the first English verse translation of a major work of German literature. Rather than a translation of the entire poem, in this volume the translators present key passages connected by prose summaries, and include an introduction giving an overview of the work and its historical and literary context

The impact of master scheduling models on student performance as identified by the Academic Excellence Indicator System (AEIS) database in the high schools of the San Antonio Independent School District, San Antonio, Texas

This study determined the impact of master scheduling models on student performance as reported by the AEIS database in the high schools of the SAISD. General student performance and the Texas Assessment of Knowledge and Skills were the primary measures for comparison. The SAISD made a transition from an A-B block schedule in 2002 to a traditional-seven period model in 2003. Conclusions have been made as to the degree of influence that traditional and block schedules have on student performance. The population of this study was the eight high schools of the SAISD. All students enrolled on these campuses were included in the data analysis. The population was 14,418 students during the 2002-2003 school year and 13,689 in 2003-2004. Descriptive statistics and analysis of variance (ANOVA) were the measures utilized for the purposes of population comparisons and data review. Based on the findings of this study, the recommendations for practice indicate the following: 1. Attendance ratings did not return statistical significance on a traditional schedule. 2. Advanced Course participation and AP/IB testing results returned statistical significance on a traditional schedule. 3. SAT and ACT did not return statistical significance on a traditional schedule. 4. TAKS Campus Performance did not return statistical significance on a traditional schedule. 5. TAKS Reading/ELA, Mathematics, Science and Social Studies scores returned statistical significance on a traditional schedule. 6. African American, Hispanic and Special Education Performance returned statistical significance in TAKS Science and TAKS Social Studies on a traditional schedule. 7. White Performance returned statistical significance in TAKS Science on a traditional schedule. 8. Economically Disadvantaged Performance returned statistical significance in each area of the TAKS assessment on a traditional schedule. 9. Limited English Proficient Performance returned statistical significance in TAKS Math on a traditional schedule

COMBAR COST EU. A mobile application proposal

Diagnosis and treatment options/strategies for helminth parasitic diseases are not standardized globally, or even across Europe, due to factors such as epidemiology, resources availability, socio-economics, and the lack of adequate information. Good communication of options can help to overcome some of these problems. In this sense, it is proposed to develop a mobile application (Abozeid et al., 2021) that allows the tailoring, and sharing, of knowledge (Abu-El-Noor et al., 2021; Kunkel et al., 2021) related to the various diagnoses and treatments in a format appropriate for all stakeholders (e.g. farmers, veterinarians, universities, researchers, laboratories, industries). The proposal aims to present the theoretical functionalities for the creation of a mobile application (Muashekele et al., 2021), the application should have a sequence of options that must be grounded in theoretical requirements. First of all, there is a necessity to have inputs standardized by the application (e.g. country/region, applicable legislation, animal typology, disease characteristics, symptoms) that should be entered into the application. The aim is to provide a range of tailored options to the end-user. Second, given the user's choices, the application can offer information and guidelines (including veterinarians available, laboratories, diagnosis, treatments, stores, among others). It is highlighted that the main gain may be the collection of information, whenever the user allows it. Finally, considering that most farmers use the language of their country, it is crucial to have the application in different European languages.info:eu-repo/semantics/publishedVersio

The "Parzival" of Wolfram von Eschenbach: Translated into English Verse with Introduction, Notes, Connecting Summaries

Originally published in 1951, this collaboration of two accomplished translators resulted in the first English verse translation of a major work of German literature. Rather than a translation of the entire poem, in this volume the translators present key passages connected by prose summaries, and include an introduction giving an overview of the work and its historical and literary context

Automated electronic medical record sepsis detection in the emergency department

Background. While often first treated in the emergency department (ED), identification of sepsis is difficult. Electronic medical record (EMR) clinical decision tools offer a novel strategy for identifying patients with sepsis. The objective of this study was to test the accuracy of an EMR-based, automated sepsis identification system.Methods. We tested an EMR-based sepsis identification tool at a major academic, urban ED with 64,000 annual visits. The EMR system collected vital sign and laboratory test information on all ED patients, triggering a “sepsis alert” for those with ≥2 SIRS (systemic inflammatory response syndrome) criteria (fever, tachycardia, tachypnea, leukocytosis) plus ≥1 major organ dysfunction (SBP ≤ 90 mm Hg, lactic acid ≥2.0 mg/dL). We confirmed the presence of sepsis through manual review of physician, nursing, and laboratory records. We also reviewed a random selection of ED cases that did not trigger a sepsis alert. We evaluated the diagnostic accuracy of the sepsis identification tool.Results. From January 1 through March 31, 2012, there were 795 automated sepsis alerts. We randomly selected 300 cases without a sepsis alert from the same period. The true prevalence of sepsis was 355/795 (44.7%) among alerts and 0/300 (0%) among non-alerts. The positive predictive value of the sepsis alert was 44.7% (95% CI [41.2–48.2%]). Pneumonia and respiratory infections (38%) and urinary tract infection (32.7%) were the most common infections among the 355 patients with true sepsis (true positives). Among false-positive sepsis alerts, the most common medical conditions were gastrointestinal (26.1%), traumatic (25.7%), and cardiovascular (20.0%) conditions. Rates of hospital admission were: true-positive sepsis alert 91.0%, false-positive alert 83.0%, no sepsis alert 5.7%.Conclusions. This ED EMR-based automated sepsis identification system was able to detect cases with sepsis. Automated EMR-based detection may provide a viable strategy for identifying sepsis in the ED

Effectiveness of a triple-drug regimen for global elimination of lymphatic filariasis : a modelling study

Background: Lymphatic filariasis is targeted for elimination as a public health problem by 2020. The principal approach used by current programmes is annual mass drug administration with two pairs of drugs with a good safety profile. However, one dose of a triple-drug regimen (ivermectin, diethylcarbamazine, and albendazole) has been shown to clear the transmissible stage of the helminth completely in treated individuals. The aim of this study was to use modelling to assess the potential value of mass drug administration with the triple-drug regimen for accelerating elimination of lymphatic filariasis in different epidemiological settings. Methods: We used three different transmission models to compare the number of rounds of mass drug administration needed to achieve a prevalence of microfilaraemia less than 1% with the triple-drug regimen and with current two-drug regimens. Findings: In settings with a low baseline prevalence of lymphatic filariasis (5%), the triple-drug regimen reduced the number of rounds of mass drug administration needed to reach the target prevalence by one or two rounds, compared with the two-drug regimen. For areas with higher baseline prevalence (10–40%), the triple-drug regimen strikingly reduced the number of rounds of mass drug administration needed, by about four or five, but only at moderate-to-high levels of population coverage (>65%) and if systematic non-adherence to mass drug administration was low. Interpretation: Simulation modelling suggests that the triple-drug regimen has potential to accelerate the elimination of lymphatic filariasis if high population coverage of mass drug administration can be achieved and if systematic non-adherence with mass drug administration is low. Future work will reassess these estimates in light of more clinical trial data and to understand the effect on an individual country's programme

A hierarchical model-based framework for evaluating probabilities of area-wide freedom from lymphatic filariasis infection based on sentinel site surveillance data

The design of population surveys to substantiate the elimination of disease transmission across large implementation units (IUs) has become important as many parasite control efforts approach their final stages. This is especially true for the global program to eliminate lymphatic filariasis (LF), which has successfully reduced infection prevalence in many endemic countries, such that the focus has shifted to how best to determine that the area-wide elimination of this macroparasitic disease has been achieved. The WHO has recommended a two-stage lot quality assurance sampling (LQAS) framework based on sampling children from selected clusters within an IU, called the Transmission Assessment Survey (TAS), for supporting such decision-making, but questions have emerged regarding the reliability of this strategy for assessing if LF transmission is broken effectively everywhere within an area. In this study, we develop and describe an alternative probabilistic framework that combines infection status information from longitudinal parasitological surveys of whole communities carried out in sentinel sites, imperfect diagnostic tests, and locally-applicable extinction thresholds predicted by transmission models, to overcome the problems associated with TAS. We applied the framework to LF infection and intervention data from the country of Malawi, and demonstrated how our hierarchical coupled model-sentinel site survey tool can be used to estimate the probability that LF transmission has occurred at the individual survey, village, and countrywide scales. We also further demonstrated how the framework can be used in conjunction with zonal or areal design prevalences to estimate the number of sentinel sites and durations of interventions required to acquire sufficiently high confidence that an area is free from infection. Our results indicate that the application of the spatially driven model-data freedom-from-infection tool developed here to follow up data from high-risk sentinel sites in a region may offer a highly cost-effective framework for guiding the making of high-fiducial and defensible area-wide LF intervention stopping decisions