PSXIV-26 Selection footprints in Russian red cattle identified by linkage disequilibrium blocks based on SNP data

Among the variety of cattle breeds in Russia, the Russian red dual-purpose cattle breeds have great importance because of their ability to produce high milk yields as well as to provide excellent milk quality. The low census size of the Russian red cattle breeds requires development of programs for conservation of their biodiversity. Our study aimed to investigate selection footprints in Russian red cattle breeds, using high values of linkage disequilibrium (LD) in SNP haplotype blocks as indicators. For finding such LD blocks, we used the genotypes (≈35K SNPs) of Red Gorbatov (RGB, n = 26), Bestuzhev (BST,n = 27), and Suksun (SKS,n = 17) breeds, as well as Red Holstein (RH,n = 16) as an outgroup. Quality control and LD calculations for different distances were performed in Plink 1.90. Top 0.01% SNP pairs by LD value (0.9≤r2< 1.0) were selected for further analysis. The effective population size derived from LD patterns was estimated using SNeP tool. Comparison of LD values for 70 kb interval between breeds and chromosomes by MANOVA pairwise testing significantly distinguished RH/RGB and BST/SKS breeds (P < 0.05-0.001). LD values among chromosomes were 0.195–0.287 for RH, 0.194–0.272 for RGB, 0.172–0.237 for BST, and 0.157–0.217 for SKS. The SKS and BST breeds had higher Ne values (84 and 113, respectively) compared to RH (63) and RGB (79). Selection footprints by LD blocks in Russian red cattle genome covered several relevant genes on BTA1 (EPHA6,DGKG), BTA2 (LRP1B,THSD7B,STAT1), BTA5 (CPM,BAIAP2L2), BTA9 (TRDN,UTRN), BTA10 (KCNN2,CAPN3), BTA11 (SH3RF3,RABGAP1,RALGPS1), BTA14 (ZNF16,ARHGAP39,TOX,DGAT1), and BTA19 (MYH10), BTA22 (FHIT). Detected genes were found to be responsible for milk fat and protein contents, fatty acid composition, somatic cells score, fertility, feet and legs, and udder conformation traits. Our results can be useful for developing the breeding and conservation programs of the Russian red cattle genetic resources. The study was funded by RFBR within project No. 20-516-00020

Telemedicine in orthopaedic surgery during the COVID-19 pandemic

Aims This study assesses patient barriers to successful telemedicine care in orthopaedic practices in a large academic practice in the COVID-19 era. Methods In all, 381 patients scheduled for telemedicine visits with three orthopaedic surgeons in a large academic practice from 1 April 2020 to 12 June 2020 were asked to participate in a telephone survey using a standardized Institutional Review Board-approved script. An unsuccessful telemedicine visit was defined as patient-reported difficulty of use or reported dissatisfaction with teleconferencing. Patient barriers were defined as explicitly reported barriers of unsatisfactory visit using a process-based satisfaction metric. Statistical analyses were conducted using analysis of variances (ANOVAs), ranked ANOVAs, post-hoc pairwise testing, and chi-squared independent analysis with 95% confidence interval. Results The survey response rate was 39.9% (n = 152). The mean age of patients was 51.1 years (17 to 85), and 55 patients (38%) were male. Of 146 respondents with completion of survey, 27 (18.5%) reported a barrier to completing their telemedicine visit. The majority of patients were satisfied with using telemedicine for their orthopaedic appointment (88.8%), and found the experience to be easy (86.6%). Patient-reported barriers included lack of proper equipment/internet connection (n = 13; 8.6%), scheduling difficulty (n = 2; 1.3%), difficulty following directions (n = 10; 6.6%), and patient-reported discomfort (n = 2; 1.3%). Barriers based on patient characteristics were age > 61 years, non-English primary language, inexperience with video conferencing, and unwillingness to try telemedicine prior to COVID-19. Conclusion The barriers identified in this study could be used to screen patients who would potentially have an unsuccessful telemedicine visit, allowing practices to provide assistance to patients to reduce the risk of an unsuccessful visit. Cite this article: Bone Jt Open 2021;2(9):745–751.

Implementasi Teknik Equivalence Partitioning pada Pengujian Aplikasi E-learning Berbasis Web

Testing is a verification process carried out to determine the quality of a software. In this case data validation becomes necessary, because errors that occur can make the system not optimal and can harm the owner or user of the system. For example, a compilation error the user can upload any file on the system. This can make the system corrupt and this cannot be known and tested. Black Box Testing has 4 methods, namely Equivalence Partitioning, Pairwise Testing, Boundary Value Analysis and Error Guessing. Each technique has advantages. However, in this study the Equality method was chosen because it was considered the most suitable way to conduct testing on E-learning Applications at Pamulang University. This method returns the system by dividing the input space or range into 2, valid and invalid. Can be obtained trial results obtained. This research begins by determining the functionality that will transfer, determining the data to be contested, determining the input can consist of numerical values, range of values and files, conducting test experiments, documenting research results and repeating results. From the results of tests that have been done, it can be concluded that this device can be used properly and perfectly. However, this research was only carried out using a number of sample forms. For Temporary Devices this can be used properly without any obstacles.

PWiseHA: Application of Harmony Search Algorithm for Test Suites Generation using Pairwise Techniques

Pairwise testing is an approach that tests every possible combinations of values of parameters. In this approach, number of all combinations are selected to ensure all possible pairs of parameter values are included in the final test suite. Generating test cases is the most active research area in pairwise testing, but the generation process of the efficient test suite with minimum size can be considered as one of optimization problem. In this research paper we articulate the problem of finding a pairwise final test suite as a search problem and the application of harmony search algorithm to solve it. Also, in this research paper, we developed a pairwise software testing tool called PWiseHA that will generate test cases using harmony search algorithm and this PWiseHA is well optimized. Finally, the result obtained from PWiseHA shows a competitive results if matched with the result of existing pairwise testing tools. PWiseHA is still in prototype form, an obvious starting point for future work.

GAPSO: Optimal Test Set Generator for Pairwise Testing

Exhaustive testing is impossible for all sorts of software systems, owing to the cost and time consumption. Combinatorial testing is the solution to this issue and aims at picking the necessary set of parameters which can ensure high degree of interaction between the parameters. This paper presents a new approach for generating unique test cases by exploiting Genetic and Particle Swarm Optimization (GAPSO) algorithm for achieving pairwise testing. The generated test cases are refined, so as to arrive at the optimal test set. The outcome of the proposed algorithm is the minimal count of high quality test cases.