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A 338

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Most cited protocols related to «A 338»

This study was conducted in Panji, Kota Bharu district, Kelantan, Malaysia (Fig. 3), located at the east cost of Peninsular Malaysia and has the highest population among the 15 sub-districts of Kota Bharu, the capital state of Kelantan. A total of 338 respondents were recruited in this study. The population of interest in this study involved residents in Kota Bharu district and considered only residents who have attained 18 years old and above. Sample unit is residents living in Kota Bharu district of more than a year and aged more than 18 years. The target population comprised all the households in Kota Bharu District (491,237); however, it is impossible to conduct a study with such a large number within a limited time period and inadequate financial budget. Therefore, a multi- stage random sampling technique was used in selecting the appropriate sample in order to evaluate the objectives of this study and to ensure that households in the districts had the same possibility of being included in the study (Dlamini et al., 2017). Initially, one district of Kelantan state (Kota Bharu) was selected out of 10 total districts. In the second stage, one sub-district of Kota Bharu District (Panji) was selected out of 15 total sub-districts. Eventually, 338 households were randomly selected as sample size. Convenient sampling was also used to select respondents due to time constraint and response obtained from target population. The localities involved were Kampung Tapang, Kampung Chempaka, Kampung Belukar, Kampung Panji, Taman Sri Iman, Taman Desa Kujid and Taman Bendahara.

Location of the study area in Panji, Kota Bharu district, Kelantan, Malaysia (Source:ArcGis Software version 10.2; source of shape file: Department of Drainage and Irrigation, obtained with consent)

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Publication 2022
A 338 Drainage Households Target Population
SNPs and DIPs were identified from the MHC Haplotype Project, dbSNP, and dbMHC databases and selected based on their genomic position. SNPs were typed on the Illumina GoldenGate platform at the Broad Institute of MIT and Harvard, at Illumina, and at the Wellcome Trust Sanger Institute or by using using TaqMan Allelic Discrimination Assay at Duke University. Insertion/deletion polymorphisms were typed by TaqMan technology at Duke University. All of the SNP, DIP and HLA typing was completed by June 2005 and preceded the release of Phase II data from the International HapMap Project. The entire list of 7,543 non-redundant variants and their respective genotyping assays are available online (see below). The variants were located in the 7.5 Mb region delimited by rs498548 (position chr6:26000508) and rs2772390 (position chr6:33483033). All coordinates are given relative to NCBI build 34 of the human genome assembly. Raw genotype data collected at the various genotyping centers were collated based on map position. A total of 6,338 variants yielded reliable genotyping assays. Assays considered to be reliable yielded at least 90% total genotypes, fewer than two Mendel errors, and were in Hardy-Weinberg equilibrium (P > 0.001). Details of how haplotypes were estimated from genotype data can be found in Supplementary Note online.
Publication 2006
3,5-diisopropylsalicylic acid A 338 Alleles Biological Assay Discrimination, Psychology Genetic Polymorphism Genome Genome, Human Genotype Haplotypes INDEL Mutation
The final analytic sample for this study was comprised of 209 freestanding and hospital-based facilities located in six states: California, Illinois, Missouri, Ohio, Pennsylvania and Tennessee. States were selected for regional representation and size in terms of numbers of facilities. Facility selection was stratified based upon volume of post-hospital discharge, sub-acute care provided, as indicated by whether the facility is hospital based or not. Within these two strata, we sought to select facilities based upon their QI scores in the year prior to the study (2000) in order to compare historically poor and well performing facilities. A total of 338 non-hospital based facilities and 124 hospital-based facilities were approached about participating in the study.
We attempted to select 30 residents per facility. In non-hospital based facilities, the sample was comprised of 10 residents with a recently completed admission MDS assessment; 10 residents with a recently completed quarterly MDS assessment; and 10 residents with a recently completed annual MDS assessment. "Recently completed" assessments were defined as those that were completed one-month prior to the nurse researcher arriving at the site. If a sample could not be captured with recently completed assessments, the nurse assessors looked back as far as 90 days to fulfill the sample. In hospital-based facilities, the sample was the 30 most recently assessed patients.
Publication 2003
A 338 Nurses Patient Discharge Patients
The pEhActNeo shuttle vector, which served as the basic construct, contains the Neo gene, which confers resistance to G418, flanked by the 5′ and 3′ regulatory sequences of the amoeba actin 1 gene Ehactin [56 (link)–58 ] and the E. histolytica autonomous replication sequence, both cloned in pBluescript II SK (−). Primers used for the construction of the different cassettes are listed in Table 2.
Plasmid pB33 includes the 5′ upstream segment (473 bp) of the Ehap-a gene amplified by PCR from psAP-1 [12 (link)] using primers A and B (Table 2). The ORF region of the Ehlgl1 gene and the 3′ Ehactin flanking region were prepared by digestion of the intermediate plasmid construct pSA21 with NcoI/BamHI [35 (link),47 ]. This plasmid is based on pBluescript IIKS and includes a cassette containing the 5′ flanking region of the Ehactin gene, the ORF of the Ehlgl1 (867bp) gene, and the 3′ flanking region of Ehactin.
To construct plasmid pAY we first generated, by PCR with plasmid psAP-1 [12 (link)] as a template and primers A and C (Table 2), a 521 bp fragment that included the 473 bp of the 5′ upstream region of the Ehap-a gene and 44 bp of the signal peptide of the Ehap-a gene. This fragment was then ligated to the segment containing the ORF of Ehlgl1 with the 3′ Ehactin flanking region as above.
The construction of pAP-CP5 was similar to that of pB33. The 473 bp 5′ upstream of the Ehap-a gene was generated by PCR using primers A and B (Table 2) on plasmid psAP-1 [12 (link)]. The ORF of EhCP-5 [41 (link),42 (link)] was generated by PCR using primers D and E (Table 2) on genomic DNA of strain HM-1:IMSS, and the 3′ flanking region of Ehactin was generated by digestion of plasmid pSA21 [47 ] with SalI/BamHI.
For plasmid pSG, a DNA fragment containing 188 bp of the 5′ upstream region of Ehap-a consisting of the truncated SINE1 sequence and the T-rich region was amplified by PCR from plasmid psAP-1 [12 (link)] using primers A and F (Table 2). The resulting 188 bp fragment was ligated to the 5′ end of another segment (1,203 bp) consisting of the Ehlgl1 ORF and 338 bp of the Ehlgl1 5′ upstream region. This latter fragment was generated by PCR amplification of genomic DNA of strain HM-1:IMSS using primers G and H (Table 2) followed by ligation to the 3′ Ehactin regulatory segment.
Plasmid pP10 was constructed from a DNA fragment of 275 bp of the 5′ upstream region of the Ehap-a gene generated by PCR from plasmid psAP-1 [12 (link)] using primers I and B (Table 2) and ligated to the ORF of Ehlgl1 with the 3′ actin flanking region, as in pB33.
For plasmid pTL, the 473 bp fragment of the 5′ upstream region of Ehap-a and a fragment of 421 bp starting from the 5′ end of the ORF of Ehlgl1 (truncated Ehlgl1) (894 bp) were generated by PCR from plasmid pB33 using primers A and K (Table 2)
Plasmid pSV contains a 338 bp fragment from the 5′ upstream region of Ehlgl1 generated by PCR from genomic DNA using primers J and G. This fragment was ligated to the ORF of the EhCP-5 gene and then to the 3′ flanking region of the Ehactin gene.
Each of the cassettes mentioned above was then ligated to the digested and dephosphorylated pEhActNeo shuttle vector as previously described [12 (link),21 (link)]
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Publication 2006
3' Flanking Region A 338 Actins Amoeba antibiotic G 418 Autonomous Replication BP 421 Digestion DNA, A-Form Genes Genes, Regulator Genome Ligation Oligonucleotide Primers Plasmids PSAP protein, human Shuttle Vectors Signal Peptides Strains
PF6 (100 µM stock solution) was mixed with siRNA (10 µM stock solution) in MQ water in one-tenth of final treatment volume (i.e. 50 µl), using MR30 in serum free media or MR40 in serum experiments. Complexes were formed for 30 min at RT and added to cells, grown to 60% confluence in 24-well plate, in 450 µl growth media. After 4 h, 1 ml of fresh media was added to wells and cells were incubated for indicated times. Treatments with LF2000 and RNAiMAX were conducted in accordance with recommendations from manufacturer (Invitrogen), using 1 µl/well for 50 nM siRNA in 24-well plates. TransductinTM was used according to guidelines (IDT Technologies), using 6–7 µM reagent with 100 nM siRNA but performing experiments in serum supplemented or serum free media (instead of Q-serum devoid of GAGs). In luciferase experiments, cells were lysed using 100 µl of 0.1% Triton X-100 in Hepes Krebbs Ringer buffer. After 30 min lysis on ice, luciferase expression was measured using Promega Luciferase Kit on 96-well Glomax luminometer (Promega). If using Cy5-labled siRNAs, lysates were first analyzed by fluorometry using a Spectra Max Gemini (Molecular Devices) prior to luciferase measurements. For in vivo treatment trials, PF6/siRNA particles (MR30) were formed in MQ-water in half of the injection volume (i.e. 100 µl), using 2 mM PF6 and 0.5 mM siRNA stock solutions. After 30 min incubation, 100 µl of 10% glucose or 10.8% mannitol solution was added to the particles. Two hundred micro liter solution was injected into the tail-vein of mice. Hydrodynamic infusions in tail vein of mice were carried out using 1 mg/kg siRNA in 2 ml saline buffer injected with high pressure. Hydrodynamic mean diameter of PF6/siRNA particles was determined (using a refractive index of 1.338) by DLS studies (Zetasizer Nano ZS apparatus, Malvern Instruments) and z-potential was measured using the same instrument.
Publication 2011
A 338 Buffers Cells Culture Media Culture Media, Serum-Free Fluorometry Glucose HEPES Hydrodynamics Intravenous Infusion lipofectamine 2000 Luciferases Mannitol Medical Devices Mus Pressure Promega RNA, Small Interfering Saline Solution Serum Tail Triton X-100 Veins

Most recents protocols related to «A 338»

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Publication 2023
A 338 Anxiety COVID 19 Mental Health Pandemics
Previously, we designed a framework that utilizes a two-step process involving a small expert annotation part and a large non-expert annotation part [64 (link)]. This shifts most of the workload from the expert to a non-expert while still maintaining proficient high-quality data. Both tasks are combined with artificial intelligence (AI) to enhance the annotation process efficiency further. Therefore, we used the software Fast Colonoscopy Annotation Tool (FastCat) to handle the entirety of this annotation process. This tool assists in the annotation process in endoscopic videos. The design of this tool lets us label coloscopic videos 20 times faster than traditional labeling. The annotation process is split between at least two people. At first, an expert reviews the video and annotates a few video frames to verify the object’s annotations. In the second step, a non-expert has visual confirmation of the given object and can annotate all following and preceding images with AI assistance. To annotate individual frames, all frames of the video must be extracted. Relevant scenes can be pre-selected by an automated system, and this prevents the expert from reviewing the entire video every single time. After the expert has finished, relevant frames will be selected and passed on to an AI model. This allows the AI model to detect and mark the desired object on all following and preceding frames with an annotation. The non-expert can adjust and modify the AI predictions and export the results, which can then be used to train the AI model. Furthermore, the expert annotates the Paris classification [65 (link)], the size of the polyp, its location, the start and end frame of the polyp, and one box for the non-expert annotators.
We built a team of advanced gastroenterologists and medical assistants. We created a dataset of 506,338 images, including the open-source images listed above. Figure 2 shows an overview of the different datasets. Our dataset consists of 361 polyp sequences and 312 non-polyp sequences. The polyp sequence was selected in high quality as we were generally only annotating the first 1–3 s of the polyp’s appearance, which is critical for detecting polyps in a real clinical scenario. We combined training material from six centers involving three different endoscope manufacturers, named Karl Storz GmbH und Co. KG (Storz), Ricoh Company Ltd. (Pentax), and Olympus K.K. (Olympus). Overall, 91% of the images are from Olympus, 5% are from Pentax, and 4% are from Storz processors. We create a dataset of 24 polyp sequences involving 12,161 images and 24 non-polyp sequences involving 10,695 images for the test data (EndoData). Therefore, the test data consist of an additional 22,856 images. We assured the independency of the test data as EndoData is created from a different clinic with different polyps and patients compared to the training data.
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Publication 2023
A 338 Colonoscopy Endoscopes Endoscopy Gastroenterologist Patients Polyps Reading Frames
An HPLC method was exploited to determine the absolute content of GABA. The fermentation samples were pre-treated as aforementioned. A 20 μL sample was derivatized by reacting with 100 μL of the borate buffer and 20 μL of the amino acids derivatization reagent at room temperature for 5 min. The derivatized sample was analyzed using the Agilent 1200 system (Agilent Technologies Inc., Santa Clara, CA, USA) coupled with an Agilent Eclipse XDB-C18 column (4.6 × 150 mm, 5 μm). The column was eluted by an isocratic mobile phase at a flow rate of 0.8 mL/min, an oven temperature of 30 °C, and a detection wavelength of 338 nm [7 (link),34 (link)]. In this work, all of the experiments were repeated at least three times.
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Publication 2023
A 338 Amino Acids Borates Buffers Fermentation gamma Aminobutyric Acid High-Performance Liquid Chromatographies
Blood samples were collected from pigs undergoing routine parentage testing at NRIAP. A total of 338 pigs were studied, including Puławska pigs (PUL, n = 85) and three selected commercial breeds: Polish Large White (PLW, n = 74), Polish Landrace (PL, n = 85) and Duroc (DUR, n = 84).
DNA was extracted from blood samples using the Sherlock AX Kit (A&A Biotechnology, Gdynia, Poland), following the manufacturer’s protocol. Extracted DNA was quantified using a NanoDrop 2000 spectrophotometer (Thermo Scientific, Wilmington, DE, USA).
In the analysis, we selected 14 loci from the recommended ISAG main panel of 15 markers for the identification of individuals and parentage testing in the pig: S0090, S0101, S0155, S0227, S0228, S0355, S0386, SW24, SW240, SW72, SW857, SW911, SW936 and SW951. The markers and used primer sequences are presented by Radko et al. [20 (link),21 (link)].
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Publication 2023
A 338 BLOOD Breeding Oligonucleotide Primers Pigs
A total sample size of 338 patients with baseline WHO-5 score ≤50 will provide a 95% power to detect a difference of 10 points43 (link) in the absolute change from baseline in the WHO-5 total score at week 24, assuming 50.5 as the SD of the difference. This sample size of 338 patients produces a two-sided 95% CI with a precision of ±5.4 points. A conservative estimation assumes that 75% of the population with psoriasis may have a baseline WHO-5 score ≤50.54 (link) Therefore, around 450 patients will have to be included in the study to ensure the 338 patients previously described. Also considering a 10% drop out rate, the final number of patients to be included will be approximately 500.
Publication 2023
A 338 Patients Psoriasis

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More about "A 338"

A 338 is a widely studied compound that has garnered significant attention due to its potential applications in various fields.
This versatile molecule has been the subject of extensive research, with scientists exploring its use in diverse areas such as pharmaceuticals, materials science, and energy storage.
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