Use the stata-mp executable when using Stata on CARC systems. The MP version of Stata enables use of large datasets as well as multiple cores for parallel computation. The current Stata license allows up to 8 cores.
Make sure to change the resource requests (the --time=1:00:00 --cpus-per-task=8 --mem=16GB --account= part after your salloc command) as needed to reflect the number of cores and memory required. Also make sure to substitute your project ID; enter myaccount to view your available project IDs.
Stata Mp Serial Number
To run Stata scripts (do-files) from within Stata, use the do command (e.g., do script.do). Alternatively, to run Stata scripts from the shell, use the stata-mp -b do command (e.g., stata-mp -b do script.do).
Loading the Stata module will automatically change the STATATMP directory to a /scratch1//stata directory, used for storing temporary files. To use a different directory, set the STATATMP environment variable in your job script after loading the module:
If using the stata-mp executable, Stata will automatically use the requested number of cores from Slurm's --cpus-per-task option. This implicit parallelism does not require any changes to your code. The current Stata license allows up to 8 cores. For more information about stata-mp, see Stata's performance report.
Try to start stata by ./xstata. If it gives you the following error message (./stata: error while loading shared libraries: libpng12.so.0: cannot open shared object file: No such file or directory), continue with the steps below:
In addition to university discount, it is possible for universities to order Stata licenses for students at extra discounted prices. Some universities have signed special Stata Prof+ Plan agreements (former GradPlan agreements) with Metrika that allow them to buy Stata at special discounted prices. The Stata Prof+ Plan agreemets include a vast number of universities in all the Nordic and Baltic regions.
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Stata/MP, Stata/SE, and Stata/BE all run on any machine, but Stata/MP runs faster. You can purchase a Stata/MP license for up to the number of cores on your machine. For example, if your machine has eight cores, you can purchase a Stata/MP license for eight cores, four cores, or two cores.
You can later increase the size of your network license at a reduced charge. That is, if you currently owns a 5-user network license, the cost of adding another user would be the cost of adding user number 6.
How do I upgrade an existing license? Upgrading an older version of Stata always is possible, and the price for doing so is low compared to the cost of upgrading other comparable software. Upgrading is best done in the web shop where you also find the current prices. When upgrading you must include information about the serial number(s) of your current license(s). In Stata, you find the serial number of your license by clicking on "Help - About Stata".
A probability sample of 469 subjects based on a population of 6624 subjects enrolled in 2013 (report by Fundación Integra, the JUNJI, and the Provincial Department of Education), a prevalence of indoor cigarette smoking of 12.1%,17 a 95% confidence level, and a 3% estimation error were estimated. The sampling was done using a random and stratified technique, proportional by facility and level. This means that out of the randomly selected 21 facilities for infants and 15 facilities for preschoolers, a proportional weighted sample was obtained based on the population of these facilities. The same process was performed within each facility for every level. Potential participants were contacted during facility meetings; then, once the informed consent process was developed, the total number of participants defined by level was randomly selected. To complete the 469 subjects required, 474 individuals were invited because five refused to participate; with this, participation reached 98.9%. No differences were observed in the characteristics of those who were not included in the study and those who were.
Regarding the relationship with the child, it was observed that most participants were the mothers (72.5%); the participants' mean age ( SD) was 32.9 years 9.2, their mean level of education corresponded to 13.6 years 4.1; most had completed secondary education (50.8%) and were married (38%) (Table 1). The median number of children in the care of a parent or caregiver was 4; the mean age of children was 4.0 1.5 years, ranging between 0.2 and 6 years.
It was observed that 51.8% of households (n= 243) included at least one member who smoked. In 140 (57.6%) of these, only one member smoked. Eleven point nine percent of participants stated that they smoked in the presence of children. Among the households of smokers, 56% of fathers were tobacco users (n= 136). They smoked a mean number of 5.1 4 cigarettes per day. Of these, 5.9% smoked 1-4 cigarettes inside the house on a daily basis. The mothers of 130 households (53.5%) were tobacco users. They smoked a mean number of 2.8 2.6 cigarettes per day. Of these, 9.2% smoked 1-6 cigarettes inside the house on a daily basis (Table 2). Out of all smokers, 32.5% stated that they smoked at work; 5.8%, at home; 31.3%, in the street; 67.1%, in the backyard; and 0.8%, in other places.
This study also found a significant association between the preventive measures taken regarding ETS at home and the number of children present in the household. This was consistent with the data that demonstrated that households with children were 17% less likely to experience ETS exposure at home than those without children (OR: 0.83; 95% CI: 0.80-0.87).19
Finally, considering the outcome measures that were not assessed and that may interact in the relationship between exposure and preventive measures, this study did not analyze the individual characteristics of tobacco use because it centered on family use; children were younger than 7 years, which did not allow us to establish preventive measures regarding older children; lastly, some numbers may have been underestimated due to the pressure of giving a response that was socially acceptable. Such limitation should also be considered in the context of a self-reported measurement that was not biochemically validated, for example, by measuring urine cotinine levels.
Medical patients who received a transfusion were often admitted for reason of anemia, cancer, organ failure, or pneumonia. Some researchers are now reporting that blood use, at certain sites, is becoming more common in medical rather than surgical patients, which may be due to an expansion of patient blood management procedures in surgery [16]. There are a substantial number of patient blood management programs among surgical specialties and their adoption has expanded [17]. Although there are fewer patient blood management programs in the nonsurgical setting, some have been targeted to internal medicine physicians and specifically, to hospitalists [1,18]. For example, a toolkit from the Society of Hospital Medicine centers on anemia management and includes anemia assessment, treatment, evaluation of RBC transfusion risk, blood conservation, optimization of coagulation, and patient-centered decision-making [19]. Additionally, bundling of patient blood management strategies has been launched to help encourage a wider adoption of such programs [20].
In conclusion, the use of blood products decreased in surgical patients since 2002 but remained the same in medical patients in this VA population. Transfusions increased over time for patients who were admitted to the hospital for reason of infection, but decreased since 2002 for those admitted for cardiovascular disease or cancer. The number of RBC units per hospitalization decreased over time. Additional surveillance is needed to determine whether recent evidence regarding blood management has been incorporated into clinical practice for medical patients, as we strive to deliver optimal care to our veterans.
Preparation of inoculum. The reference bacterium was plated on Baired Parker agar (Merck, Darmstadt, Germany) agar medium and incubated at 37 C for 24 hr. After confirmation typical colonies as S. aureus by bio-chemical tests, inoculums were prepared by transferring a loop full of the bacterial colonies to isotonic saline solution in a sterile cuvette to adjust the absorbance of 0.02 at 600 nm using a spectrophotometer (Model 6105; Jenway, Essex, UK). This adjustment gave a cell concentration of 1.2 109CFU mL-1. The numbers of cells in the suspension were estimated by duplicate plating from 10-fold serial dilutions on BHI agar and counting the colonies after 24 hr incubation at 37 C.
Performing the experiment. Amount of 3.7 g BHI broth powder (Merck, Darmstadt, Germany) was dissolved in 90 mL distilled water in a 250 mL flask by mild heating. In order to produce and maintain a stable oil-water emulsion in broth substrate during the period of study (30 days), the method explained by Mann and Markham were used,14 with some modifications. Briefly, we added 5% (v/v) dimethyl-sulfoxide (Merck, Darmstadt, Germany) as an emulsifier and 0.05% (w/v) agar (Merck, Darmstadt, Germany) as a stabilizer to the broth substrate. The pH was adjusted using hydrochloric acid to designate pH values. The values of pH were adjusted using a pH meter (Jenway, Staffordshire, UK). The final volume of broth substrate was brought to 100 mL with additional distilled water. The content of each flask was autoclaved at 121 C for 15 min. After cooling, the pH of each combination in broth medium was measured and adjusted again to the considered pH using 1M filter sterilized HCl (or NaOH). Then filter sterilized EO was added in different amounts to satisfy the experimental design. The content of flask containing sterile BHI broth was dispensed in portions of 3 mL into 16 100 mm sterile caped tubes (Becton Dickinson, San Jose, USA). The tubes were inoculated with S. aureus culture (102, 103 and 104 CFU mL-1). For each combination the inoculated tubes were stored at 15, 25 and 35 C for up to 30 days. During these periods all the tubes were observed for visible growth (turbidity) daily up to 30-days. The number of tubes (combinations) showing growth at a particular observation were recorded. For each combination a negative control (un-inoculated tube) was used. All experiments were conducted in independent triplicate. 2ff7e9595c
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