Search

This paper presents an in-depth study and evaluation analysis of the effects of the computer-assisted language teaching method on foreign language learning through its application. Using an empirical research approach, a practical study of computer-assisted English language teaching was conducted to verify the effects of CALL on oral language learning. In exploring the effects of CALL on students’ oral learning, including the effects on fluency, accuracy, and complexity of oral expressions, as well as the effects on learning attitudes, CALL is conducive to improving the fluency of oral expressions, reducing the number of pauses and repetitions in oral expressions, and enabling students to consciously use articulation words to facilitate smooth expressions. CALL is good for improving the accuracy of students’ speech, but it does not play a significant role in grammatical accuracy, and the grammatical errors are mainly in the third person singular of verbs, singular and plural of nouns, and passive voice. The use of CALL in teaching oral expressions does not improve the variety of sentences. However, the application of CALL in oral teaching stimulates students’ enthusiasm for learning, improves their interest in learning spoken English, and increases their confidence in oral expression.

Many patients with acute ischemic stroke (AIS) develop early neurological deterioration (END), leading to disabilities or death. Thus, this study aimed to investigate the efficacy and safety of intravenous tirofiban in treating patients with AIS and END who missed the thrombolysis time window.A total of 123 AIS-END patients participated in the study between January 2021 and December 2021. Patients were randomized into the tirofiban group (n = 63) and the control group (n = 60) based on whether a tirofiban injection was administered. The National Institute of Health Stroke Scale (NIHSS) was used to assess neurological function at the 48th hour and on the 7th day after intervention, and the modified Rankin Scale (mRS) was used to assess neurological recovery 90 days after AIS. Adverse reactions during the intervention were recorded for safety analysis.The 7th day NIHSS and 90th day post-AIS mRS scores of the tirofiban group were significantly lower than those of the control group (p 0.05), while the 90th day good prognosis (mRS ≤ 2) rate of the tirofiban group was significantly higher (84.13% vs. 65.00%, p 0.05). Logistic regression demonstrated a protective effect of tirofiban for good prognosis in AIS patients with END (OR = 4.675, 95% CI [1.012-21.605], p 0.05). No cases of intracranial haemorrhage transformation or death were observed during the treatment in either group.Tirofiban injection exhibited a high safety profile and significantly improved the prognosis of AIS-END patients who missed the intravenous thrombolysis time window.

The mining of big data provides new ideas, methods, and technical support for the evaluation of college teachers’ teaching ability. Existing studies generally over-emphasize outcome evaluations and the evaluation methods are not scientific or objective enough, thus the evaluation results are often trapped in large errors and single pattern of manifestation. To overcome such defects, this paper took college English teaching as an example to develop a diagnosis model for college teachers’ teaching ability based on big data and evaluate its feasibility. At first, the evaluation indexes of college teachers' teaching ability were determined and the entropy weight method was adopted to assign weight values to the evaluation indexes. Then, based on the Gradient Boosted Decision Tree (GBDT), the diagnosis model was constructed and the steps were detailed. After that, an improved Particle Swarm Optimization (PSO) algorithm was adopted to optimize the proposed model. At last, experimental results proved the feasibility of the proposed diagnosis model.

Identifying ways to deal with the challenges presented by aging is an urgent task, as we are facing an aging society. External factors such as diet, exercise and drug therapy have proven to be major elements in controlling healthy aging and prolonging life expectancy. More recently, the intestinal microbiota has also become a key factor in the anti-aging process. As the intestinal microbiota changes with aging, an imbalance in intestinal microorganisms can lead to many age-related degenerative diseases and unhealthy aging. This paper reviews recent research progress on the relationship between intestinal microorganisms and anti-aging effects, focusing on the changes and beneficial effects of intestinal microorganisms under dietary intervention, exercise and drug intervention. In addition, bacteriotherapy has been used to prevent frailty and unhealthy aging. Most of these anti-aging approaches improve the aging process and age-related diseases by regulating the homeostasis of intestinal flora and promoting a healthy intestinal environment. Intervention practices based on intestinal microorganisms show great potential in the field of anti-aging medicine.

Oxidized-low density lipoprotein (ox-LDL) can induce injury of endothelial cells, causing atherosclerosis, which is an important initial event in several cardiovascular diseases. Long non-coding RNAs (lncRNAs) have emerged as regulators of diverse biological processes, but their specific biological functions and biochemical mechanisms in ox-LDL-induced endothelial cell injury have not been well investigated. Here, we describe the initial functional analysis of a poorly characterized human lncRNA ZEB1 antisense 1 (ZEB1-AS1). We found that ox-LDL treatment could induce a decreased cell viability and an increased cell apoptosis in endothelial cells, and knockdown of ZEB1-AS1 significantly reversed this effect. Mechanistically, ox-LDL treatment could sequester p53 from binding to ZEB1-AS1 promoter region, causing transcriptional activation and upregulation of ZEB1-AS1. Moreover, enhanced ZEB1-AS1 could upregulate Nucleotide-Binding Oligomerization Domain 2 (NOD2) expression through recruiting leucine-rich pentatricopeptide repeat motif-containing protein (LRPPRC) to stabilize NOD2 mRNA. Experimental data showed that knockdown of NOD2 or LRPPRC dramatically abrogated the functional role of ZEB1-AS1 in ox-LDL-induced endothelial cell injury. In summary, we demonstrated that lncRNA ZEB1-AS1 regulates the ox-LDL-induced endothelial cell injury via an LRPPRC-dependent mRNA stabilization mechanism. Therefore, ZEB1-AS1 may serve as a multi-potency target to overcome endothelial cell injury, atherosclerosis and other cardiovascular diseases.

Aging is an ineluctable law of life. During the process of aging, the occurrence of neurodegenerative disorders is prevalent in the elderly population and the predominant type of dementia is Alzheimer’s disease (AD). The clinical symptoms of AD include progressive memory loss and impairment of cognitive functions that interfere with daily life activities. The predominant neuropathological features in AD are extracellular β-amyloid (Aβ) plaque deposition and intracellular neurofibrillary tangles (NFTs) of hyperphosphorylated Tau. Because of its complex pathobiology, some tangible treatment can only ameliorate the symptoms, but not prevent the disease altogether. Numerous drugs during pre-clinical or clinical studies have shown no positive effect on the disease outcome. Therefore, understanding the basic pathophysiological mechanism of AD is imperative for the rational design of drugs that can be used to prevent this disease. Drosophila melanogaster has emerged as a highly efficient model system to explore the pathogenesis and treatment of AD. In this review we have summarized recent advancements in the pharmacological research on AD using Drosophila as a model species, discussed feasible treatment strategies and provided further reference for the mechanistic study and treatment of age-related AD.

Background Transtemporal Doppler (TTD) with middle cerebral artery (MCA) is widely used for right-to-left shunt (RLS) detection. However, an alternative method for patients without suitable temporal bone windows should be established. The present study prospectively evaluated the effectiveness of transorbital Doppler (TOD) with carotid siphon (CS) monitoring in detecting RLS. Methods A total of 357 subjects with sufficient temporal bone windows underwent simultaneous TTD with MCA and TOD with CS. After injection of microbubbles, the numbers of artificial high-intensity signals were recorded at rest and after Valsalva maneuver. Results TOD with CS detected RLS in 146 patients. Sensitivity was 97.1%, specificity 95%, positive predictive value 92.5%, and negative predictive value 98.1%. The total positive rates for RLS detection by CS (40.9%) and MCA (37.8%) monitoring were comparable without significant difference, but TOD with CS detected significantly more grade 2 and 3 RLS than TTD with MCA (p = 0.001). The RLS rates of cryptogenic stroke patients was significantly higher than that of healthy controls, and RLS in cryptogenic stroke was remarkably higher than that in transient ischemia attack patients (p 0.05). TOD with CS examined significantly more grade 2 and 3 RLSs than the MCA approach in the cryptogenic stroke patients (p = 0.037). Conclusion TOD with CS monitoring is able to detect RLS effectively in different populations including healthy subjects, cryptogenic stroke, transient ischemia attack, and migraine patients. In comparing to the TTD with MCA approach, TOD with CS monitoring could detect comparable rate of RLS, but more high grades of RLS.