The Effect of Feedback Types on Academic Achievement in Learning with Computerized Tests

An earlier version of this article was presented at the Pacific Rim Objective Measurement Symposium (PROMS 2006), The Hong Kong Institute of Education, Tai Po, Hong Kong, June 27th-29th, 2006The purpose of this study was to show the effect of back types (standardized type vs. differentiated type) on academic achievement in learning with computerized tests. For this study, two computerized learning programs with different feedback types were developed with HTML, PHP, and SQL computer languages, and a science achievement test was developed by two high school science teachers. The science achievement tests content and face validity were examined by 5 high school science teachers and its Cronbach's alpha coefficient was 0.82. The research subjects were 137 10th graders from 4 classrooms within 2 high schools in Korea. They were divided into two groups. One group took a 3-weeks learning program with computerized a test using standardized type feedbacks. The other group also took a 3-week learning program with a computerized test using differentiated type feedbacks. After learning with computerized tests was implemented, a science achievement test was administered to all students belonging to both groups. The result of data analysis with ANCOVA was that differentiated type feedback was more effective than the standardized type feedback for learning with computerized test (F=8.98, p<0.01)

Pepper EST database: comprehensive in silico tool for analyzing the chili pepper (Capsicum annuum) transcriptome

<p>Abstract</p> <p>Background</p> <p>There is no dedicated database available for Expressed Sequence Tags (EST) of the chili pepper (<it>Capsicum annuum</it>), although the interest in a chili pepper EST database is increasing internationally due to the nutritional, economic, and pharmaceutical value of the plant. Recent advances in high-throughput sequencing of the ESTs of chili pepper cv. Bukang have produced hundreds of thousands of complementary DNA (cDNA) sequences. Therefore, a chili pepper EST database was designed and constructed to enable comprehensive analysis of chili pepper gene expression in response to biotic and abiotic stresses.</p> <p>Results</p> <p>We built the Pepper EST database to mine the complexity of chili pepper ESTs. The database was built on 122,582 sequenced ESTs and 116,412 refined ESTs from 21 pepper EST libraries. The ESTs were clustered and assembled into virtual consensus cDNAs and the cDNAs were assigned to metabolic pathway, Gene Ontology (GO), and MIPS Functional Catalogue (FunCat). The Pepper EST database is designed to provide a workbench for (i) identifying unigenes in pepper plants, (ii) analyzing expression patterns in different developmental tissues and under conditions of stress, and (iii) comparing the ESTs with those of other members of the <it>Solanaceae </it>family. The Pepper EST database is freely available at <url>http://genepool.kribb.re.kr/pepper/</url>.</p> <p>Conclusion</p> <p>The Pepper EST database is expected to provide a high-quality resource, which will contribute to gaining a systemic understanding of plant diseases and facilitate genetics-based population studies. The database is also expected to contribute to analysis of gene synteny as part of the chili pepper sequencing project by mapping ESTs to the genome.</p

Barriers to Outpatient Hospital-Based Cardiac Rehabilitation in Korean Patients With Acute Coronary Syndrome

ObjectiveTo investigate factors associated with enrollment and participation in cardiac rehabilitation (CR) in Korea.MethodsPatients admitted to four university hospitals with acute coronary syndrome between June 2014 and May 2016 were enrolled. The Cardiac Rehabilitation Barriers Scale (CRBS) made of 21-item questionnaire and divided in four subdomains was administered during admission. CRBS items used a 5-point Likert scale and ≥2.5 was considered as a barrier. Differences between CR non-attender and CR attender, or CR non-enroller and CR enroller in subscale and each items of CRBS were examined using the chi-square test.ResultsThe CR participation rate in four hospitals was 31% (170 of the 552). Logistical factors (odds ratio [OR]=7.61; 95% confidence interval [CI], 4.62–12.55) and comorbidities/functional status (OR=6.60; 95% CI, 3.95–11.01) were identified as a barrier to CR enrollment in the subdomain analysis. Among patients who were enrolled (agreed to participate in CR during admission), only work/time conflict was a significant barrier to CR participation (OR=2.17; 95% CI, 1.29–3.66).ConclusionDiverse barriers to CR participation were identified in patients with acute coronary syndrome. Providing the tailored model for CR according to the individual patient's barrier could improve the CR utilization. Further multicenter study with large sample size including other CR indication is required

Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification

Respiratory sound contains crucial information for the early diagnosis of fatal lung diseases. Since the COVID-19 pandemic, there has been a growing interest in contact-free medical care based on electronic stethoscopes. To this end, cutting-edge deep learning models have been developed to diagnose lung diseases; however, it is still challenging due to the scarcity of medical data. In this study, we demonstrate that the pretrained model on large-scale visual and audio datasets can be generalized to the respiratory sound classification task. In addition, we introduce a straightforward Patch-Mix augmentation, which randomly mixes patches between different samples, with Audio Spectrogram Transformer (AST). We further propose a novel and effective Patch-Mix Contrastive Learning to distinguish the mixed representations in the latent space. Our method achieves state-of-the-art performance on the ICBHI dataset, outperforming the prior leading score by an improvement of 4.08%.Comment: INTERSPEECH 2023, Code URL: https://github.com/raymin0223/patch-mix_contrastive_learnin

Total intravenous anesthesia with propofol and remifentanil in a patient with MELAS syndrome -A case report-

A 23-year-old woman with MELAS (mitochondrial myopathy, encephalopathy, lactic acidosis, and stroke-like episodes) underwent a laparoscopy-assisted appendectomy. MELAS syndrome is a multisystemic disease caused by mitochondrial dysfunction. General anesthesia has several potential hazards to patients with MELAS syndrome, such as malignant hyperthermia, hypothermia, and metabolic acidosis. In this case, anesthesia was performed with propofol, remifentanil TCI, and atracurium without any surgical or anesthetic complications. We discuss the anesthetic effects of MELAS syndrome

Blood-testis barrier integrity depends on Pin1 expression in Sertoli cells

The conformation and function of a subset of serine and threonine-phosphorylated proteins are regulated by the prolyl isomerase Pin1 through isomerization of phosphorylated Ser/Thr-Pro bonds. Pin1 is intensely expressed in Sertoli cells, but its function in this post mitotic cell remains unclear. Our aim was to investigate the role of Pin1 in the Sertoli cells. Lack of Pin1 caused disruption of the blood-testis barrier. We next investigated if the activin pathways in the Sertoli cells were affected by lack of Pin1 through immunostaining for Smad3 protein in testis tissue. Indeed, lack of Pin1 caused reduced Smad3 expression in the testis tissue, as well as a reduction in the level of N-Cadherin, a known target of Smad3. Pin1&minus;/&minus; testes express Sertoli cell marker mRNAs in a pattern similar to that seen in Smad3+/&minus; mice, except for an increase in Wt1 expression. The resulting dysregulation of N-Cadherin, connexin 43, and Wt1 targets caused by lack of Pin1 might affect the mesenchymal&ndash;epithelial balance in the Sertoli cells and perturb the blood-testis barrier. The effect of Pin1 dosage in Sertoli cells might be useful in the study of toxicant-mediated infertility, gonadal cancer, and for designing male contraceptives