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The learning of English academic vocabulary has been the focus of numerous studies from the time developed the academic word list to the present day. Various researchers have emphasized the importance of possessing academic vocabulary knowledge for academic success. Recognizing this importance, it is crucial for researchers, teachers, and learners to understand the progress made in academic word lists. This systematic review first identifies, describes, appraises, and synthesizes the development of academic word lists from 2000 to 2020. It then examines the methods used by researchers in developing academic word lists among 56 studies that meet the pre-established criteria. The word lists were classified based on some criteria such as word counting units, corpora types/sizes, and exclusion criteria. Limitations, suggestions for further study, and implications are also discussed. Additionally, recommendations for future word list establishment are provided to help advance the field of word list development.

During infancy, the human brain rapidly expands in size and complexity as neural networks mature and new information is incorporated at an accelerating pace. Recently, it was shown that single-electrode EEG in preterms at birth exhibits scale-invariant intermittent bursts. Yet, it is currently not known whether the normal infant brain, in particular, the cortex, maintains a distinct dynamical state during development that is characterized by scale-invariant spatial as well as temporal aspects. Here we employ dense-array EEG recordings acquired from the same infants at 6 and 12 months of age to characterize brain activity during an auditory odd-ball task. We show that suprathreshold events organize as spatiotemporal clusters whose size and duration are power-law distributed, the hallmark of neuronal avalanches. Time series of local suprathreshold EEG events display significant long-range temporal correlations (LRTCs). No differences were found between 6 and 12 months, demonstrating stability of avalanche dynamics and LRTCs during the first year after birth. These findings demonstrate that the infant brain is characterized by distinct spatiotemporal dynamical aspects that are in line with expectations of a critical cortical state. We suggest that critical state dynamics, which theory and experiments have shown to be beneficial for numerous aspects of information processing, are maintained by the infant brain to process an increasingly complex environment during development.

Nature has been considered an interesting source of secondary bioactive compounds. Plants and their associated endophytes are common sources for these active constituents. Our study demonstrates the metabolomics profiling of the ethyl acetate extracts of three endophytic fungi associated with rosemary roots ( Cladosporium spp., Alternaria spp. and Talaromyces spp.) in addition to the in vitro evaluation of the antitrypanosomal potential. The results revealed the presence of 47 metabolites from different chemical classes such as terpenes, phenolics, alkaloids, polyketides, macrolides, and others. Furthermore, the extracts of Cladosporium , Alternaria and Talaromyces exhibited potential inhibitory effects against T. brucei with IC 50 values of 1.3, 3.2 and 3.5 µg/mL, respectively. Supporting the study, the identified compounds were docked against two proteins: Rhodesain in complex with a macrolactam inhibitor and ornithine decarboxylase in complex with a c-terminal fragment of antizyme. The docking simulations showed that most of the identified compounds have moderate to comparable docking score (S = − 3.82 to − 6.10 kcal/mol) within rhodesain active site. In addition, they showed weak to moderate docking scores (− 2.33 to − 5.9 kcal/mol) with a differential docking profile within ornithine decarboxylase active site. According to these findings, fungal endophytes associated with rosemary roots can be considered as a promising source of antitrypanosomal bioactive metabolites.

Acute myeloid leukemia (AML) is a serious, life-threatening, and hardly curable hematological malignancy that affects the myeloid cell progenies and challenges patients of all ages but mostly occurs in adults. Although several therapies are available including chemotherapy, allogeneic hematopoietic stem cell transplantation (alloHSCT), and receptor-antagonist drugs, the 5-year survival of patients is quietly disappointing, less than 30%. alloHSCT is the major curative approach for AML with promising results but the treatment has severe adverse effects such as graft-versus-host disease (GVHD). Therefore, as an alternative, more efficient and less harmful immunotherapy-based approaches such as the adoptive transferring T cell therapy are in development for the treatment of AML. As such, chimeric antigen receptor (CAR) T cells are engineered T cells which have been developed in recent years as a breakthrough in cancer therapy. Interestingly, CAR T cells are effective against both solid tumors and hematological cancers such as AML. Gradually, CAR T cell therapy found its way into cancer therapy and was widely used for the treatment of hematologic malignancies with successful results particularly with somewhat better results in hematological cancer in comparison to solid tumors. The AML is generally fatal, therapy-resistant, and sometimes refractory disease with a disappointing low survival rate and weak prognosis. The 5-year survival rate for AML is only about 30%. However, the survival rate seems to be age-dependent. Novel CAR T cell therapy is a light at the end of the tunnel. The CD19 is an important target antigen in AML and lymphoma and the CAR T cells are engineered to target the CD19. In addition, a lot of research goes on the discovery of novel target antigens with therapeutic efficacy and utilizable for generating CAR T cells against various types of cancers. In recent years, many pieces of research on screening and identification of novel AML antigen targets with the goal of generation of effective anti-cancer CAR T cells have led to new therapies with strong cytotoxicity against cancerous cells and impressive clinical outcomes. Also, more recently, an improved version of CAR T cells which were called modified or smartly reprogrammed CAR T cells has been designed with less unwelcome effects, less toxicity against normal cells, more safety, more specificity, longer persistence, and proliferation capability. The purpose of this review is to discuss and explain the most recent advances in CAR T cell-based therapies targeting AML antigens and review the results of preclinical and clinical trials. Moreover, we will criticize the clinical challenges, side effects, and the different strategies for CAR T cell therapy.

Background Digital dentures are a promising alternative to the conventional fabrication technique. However, their mechanical and optical properties require further evaluation, so this study aims to compare the wear resistance and colour stability of milled and 3D-printed polymethyl methacrylate denture teeth to conventional teeth. This is essential as too much wear can cause a loss of the vertical dimension of occlusion (VDO), which can compromise the chewing efficiency, esthetics, and even cause the dentures to break. Methods Mandibular first molars denture teeth were manufactured using three different techniques, which were chosen to be assessed for wear resistance and colour stability. In the first group, conventionally prefabricated mandibular first molars were used; in the second group, the molars were milled from PMMA blocks; in the third group, the molars were fabricated from 3D printing resin ( n  = 7). The teeth were loaded on the chewing simulator to simulate the intraoral conditions, and then the volumetric changes were evaluated using surface matching software. Teeth were subjected to aging using the thermocycler, and colour stability was evaluated using a spectrophotometer. Results The null hypothesis was rejected, indicating significant differences between the groups. For wear resistance, the highest mean wear (RMS) value was reported in the conventional group, 1.806 ± 0.085, followed by the printed group, 0.021 ± 0.006, and then the milled group, 0.019 ± 0.005. For colour stability, the highest mean value of colour change (Delta E) was reported in the printed group 2.996 ± 0.445, followed by the conventional group 2.725 ± 0.234, and then the milled group 0.539 ± 0.118. Conclusion Milled PMMA generally demonstrates better wear resistance and colour stability compared to 3D-printed and conventionally processed PMMA. 3D-printed PMMA exhibits comparable wear resistance to milled PMMA. 3D-printed PMMA demonstrated comparable colour stability to conventional resin.

Background Recurrent aphthous stomatitis has a complex and inflammatory origin. Among the great variety of medications it is increasingly common to use herbal medicines due to the adverse side effects of chemical medications. Considering the anti-inflammatory properties of cinnamaldehyde and the lack of studies related to the effectiveness of its nano form; This study investigates the effect of cinnamaldehyde and nano cinnamaldehyde on the healing rate of recurrent aphthous stomatitis lesions. Methods In a laboratory experiment, cinnamaldehyde was converted into niosomal nanoparticles. The niosome vesicles diameter and polydispersity index were measured at 25°C using a dynamic light scattering (DLS) Mastersizer 2000 (Malvern Panalytical technologies: UK) and Zetasizer Nano ZS system (Malvern Instruments Worcestershire: UK). After characterizing these particles, the (2,3-Bis-(2-Methoxy-4-Nitro-5-Sulfophenyl)-2H-Tetrazolium-5-Carboxanilide) [XTT] assay was used to assess the toxicity of cinnamaldehyde and nano cinnamaldehyde on gingival fibroblast (HGF) and macrophage (THP-1) cells. By determining the release of TNF-α, IL-6, and TGF-β cytokines using ELISA kits, the level of tissue repair and anti-inflammatory capabilities of these two substances were evaluated. Results The size and loading rate of the cinnamaldehyde nanoparticles were established after its creation. The optimized nanovesicle exhibited the following characteristics: particle size of 228.75 ± 2.38 nm, PDI of 0.244 ± 0.01, the zeta potential of -10.87 ± 1.09 mV and the drug encapsulation percentage of 66.72 ± 3.93%. PDIs range was between 0.242–0.274. The zeta potential values at 25°C were from -2.67 to -12.9 mV. The results of the XTT test demonstrated that nano cinnamaldehyde exhibited dose-dependent toxicity effects. Moreover, nano cinnamaldehyde released more TGF-β and had better reparative effects when taken at lower concentrations than cinnamaldehyde. Conclusion Nano cinnamaldehyde and cinnamaldehyde are effective in repairing tissue when used in non-toxic amounts. After confirmation in animal models, it is envisaged that these substances can be utilized to treat recurrent aphthous stomatitis.

In this study, we aimed to conduct a meta-analysis on the results of eligible studies to estimate the prevalence of asthma, COPD, and Chronic bronchitis in Iran. International and Iranian databases including PubMed, Scopus, Web of Science, Iranmedex, and scientific information database (SID) were searched for population-based studies that had reported the prevalence of asthma and COPD from 1990 to 2015. We conducted the meta-analysis using metaprop application of Stata statistical software. I-Squared was used for calculating heterogeneity among the studies. To determine causes of heterogeneity, subgroup analysis and meta-regression method were used. Based on the results of random effect method, the overall prevalence of asthma ever was 4.56% (3.76%-5.36%) among men while it was 4.17% (3.42%-4.91%) among women. Pooled prevalence of current asthma was 7.95% while confidence interval changed from 5.85% to 10.06% (men 5.83% (2.75%-8.92%), women 9.13% (3.35%-14.94%)). Also based on the results of random effect model pooled prevalence of chronic bronchitis of five studies was 5.57%. It seems that the total crude prevalence of current asthma in Iran is less than many other countries such as Kuwait, Lebanon, Thailand, Japan, Australia and Germany and is higher than some other countries such as Oman, Pakistan, South Korea, India, China, Taiwan, Indonesia, Spain, Russia, and Greece. On the other hand, Iran is in middle situation in terms of the prevalence current asthma. Our results can fill the information and knowledge gaps about the status of the prevalence of respiratory diseases in Iran.

The authors have retracted this article Jannesari et al. (2019) because an incorrect version of the article was published in error. The manuscript has been republished as Jannesari et al. (2020). All authors agree to this retraction.

Perfectionism is a personality disposition usually defined considering the demands toward performance outcomes. Maladaptive perfectionists have more concerns over getting adverse performance outcomes than adaptive perfectionists. As an indicator of impulsivity, individuals' reaction time is significantly shorter after getting negative performance feedback than positive feedback. We conducted the present study to investigate the differences among perfectionists concerning the task-based impulsivity measures after getting negative and positive performance outcomes in a gambling task. A sample of 60 adults (22 adaptive, 20 maladaptive, and 18 non-perfectionists) performed a monetary gambling task while receiving positive or negative feedback. The findings revealed that maladaptive perfectionists had more impulsive responses than the other groups regardless of the feedback. The adaptive perfectionists spent more time choosing answers after each kind of feedbacks to make accurate decisions. The reinforcement sensitivity probably addresses the between-group differences of perfectionists in impulsivity. The findings of this study will help clarify the complex process of learning.

During infancy, the human brain rapidly expands in size and complexity as neural networks mature and new information is incorporated at an accelerating pace. Recently, it was shown that single electrode EEG in preterms at birth exhibits scale-invariant intermittent bursts. Yet, it is currently not known whether the normal infant brain, in particular, the cortex maintains a distinct dynamical state during development that is characterized by scale-invariant spatial as well as temporal aspects. Here we employ dense-array EEG recordings acquired from the same infants at 6 and 12 months of age to characterize brain activity during an auditory oddball task. We show that suprathreshold events organize as spatiotemporal clusters whose size and duration are power-law distributed, the hallmark of neuronal avalanches. Time series of local suprathreshold EEG events display significant long-range temporal correlations (LRTCs). No differences were found between 6 and 12 months, demonstrating stability of avalanche dynamics and LRTCs during the first year after birth. These findings demonstrate that the infant brain is characterized by distinct spatiotemporal dynamical aspects that are in line with expectations of a critical cortical state. We suggest that critical state dynamics, which theory and experiments have shown to be beneficial for numerous aspects of information processing, are maintained by the infant brain to process an increasingly complex environment during development.