849 research outputs found

    sj-docx-1-jpc-10.1177_21501319231224711 – Supplemental material for Knowledge and Behavior of Primary Care Physicians Regarding Utilization of Standardized Tools in Screening and Assessment of Anxiety, Depression, and Mood Disorders at a Large Integrated Health System

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    Supplemental material, sj-docx-1-jpc-10.1177_21501319231224711 for Knowledge and Behavior of Primary Care Physicians Regarding Utilization of Standardized Tools in Screening and Assessment of Anxiety, Depression, and Mood Disorders at a Large Integrated Health System by Abdul Waheed, Asif Khan Afridi, Masooma Rana, Mobeena Arif, Trajan Barrera, Feroza Patel, Muhammad Nausherwan Khan and Erum Azhar in Journal of Primary Care & Community Health</p

    Genome-Wide Identification of bHLH Transcription Factor Family in Malus sieversii and Functional Exploration of MsbHLH155.1 Gene under Valsa Canker Infection

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    Xinjiang wild apple (Malus sieversii) is an ancient relic; a plant with abundant genetic diversity and disease resistance. Several transcription factors were studied in response to different biotic and abiotic stresses on the wild apple. Basic/helix&ndash;loop&ndash;helix (bHLH) is a large plant transcription factor family that plays important roles in plant responses to various biotic and abiotic stresses and has been extensively studied in several plants. However, no study has yet been conducted on the bHLH gene in M. sieversii. Based on the genome of M. sieversii, 184 putative MsbHLH genes were identified, and their physicochemical properties were studied. MsbHLH covered 23 subfamilies and lacked two subfamily genes of Arabidopsis thaliana based on the widely used classification method. Moreover, MsbHLH exon&ndash;intron structures matched subfamily classification, as evidenced by the analysis of their protein motifs. The analysis of cis-acting elements revealed that many MsbHLH genes share stress- and hormone-related cis-regulatory elements. These MsbHLH transcription factors were found to be involved in plant defense responses based on the protein&ndash;protein interactions among the differentially expressed MsbHLHs. Furthermore, 94 MsbHLH genes were differentially expressed in response to pathogenic bacteria. The qRT-PCR results also showed differential expression of MsbHLH genes. To further verify the gene function of bHLH, our study used the transient transformation method to obtain the overexpressed MsbHLH155.1 transgenic plants and inoculated them. Under Valsa canker infection, the lesion phenotype and physiological and biochemical indexes indicated that the antioxidant capacity of plants could increase and reduce the damage caused by membrane peroxidation. This study provides detailed insights into the classification, gene structure, motifs, chromosome distribution, and gene expression of bHLH genes in M. sieversii and lays a foundation for a better understanding disease resistance in plants, as well as providing candidate genes for the development of M. sieversii resistance breeding

    Modality Specific CBAM-VGGNet Model for the Classification of Breast Histopathology Images via Transfer Learning

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    Histopathology images are very distinctive, one image may contain thousands of objects. Transferring features from natural images to histopathology images may not provide impressive outcomes. In this study, we have proposed a novel modality specific CBAM-VGGNet model for classifying H and E stained breast histopathology images. Instead of using pre-trained models on ImageNet, we have trained VGG16 and VGG19 models on the same domain cancerous histopathology datasets, which are then used as fixed feature extractors. We have added the GAP layer and Convolutional block attention module (CBAM) after the first convolutional layer of convolutional blocks. CBAM is an effective module for neural networks to focus on relevant features. We have implemented the VGG16 and VGG19 in a novel way following the configuration of state-of-the-art models with our own concatenated layers. The addition of the GAP layer in VGGNet has reduced the number of parameters, requiring less computational power. Both models are ensembled using the averaging ensemble technique. Features are extracted from the final ensembled model and then passed to the feed-forward neural network. A hybrid pre-processing technique is proposed that first uses a median filter and then contrasts limited adaptive histogram equalization (CLAHE). The median filter removes the highly significant noise and is directly related to image quality. CLAHE improves the local contrast present in an image and boosts the weak boundary edges in each image pixel. The proposed CBAM ensemble model has outperformed state-of-the-art models with an accuracy of 98.96&#x0025; and 97.95&#x0025; F1-score on 400X data of the BreakHis dataset

    Additional file 4 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

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    Additional file 4: Supplemental results.1. README. 2. Prevalence range across districts. 3. Prevalence range between sexes. 4. Prevalence range between ages. 5. Age-specific district ranges

    Inflectional Deviations: A Corpus Based Comparative Study of Pakistani English Fiction and British English Fiction

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    The present research study intends to find out the Inflectional Morphological Deviations that exist in Pakistani English and British English. Pakistani English, now being considered as an individual language variety, is found to be deviant at almost all linguistic levels from the other varieties of English like British English. This research study tries to find out the Inflectional Morphological deviations in the formation of verb forms in Pakistani English and British English. It is a Corpus based comparative research study. Corpus is compiled from British English Fiction (consisting of more than million words) and from Pakistani English Fiction (more than one million words). The software employed to conduct the research study is AntConc (3.5.9). Research tools employed for data collection and analysis include Wordlist, Concordance Tool and Cluster tool. This study provides help to English Language students especially to those who are interested in linguistic variation of Englishes

    Improving Nitrogen Acquisition and Utilization Through Root Architecture Remodelling: Insight from Legumes

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    In crop species, nutrient deficiency severely damages plant growth and developmental processes, leading to end-yield penalties. Root architecture remodelling is considered a key factor underpinning nutrient-poor soil environments. Adequate nitrogen (N) supply can play a significant role in sustaining crop productivity on nutrient-deficient soils. However, excessive application of nitrogenous fertilizer may pollute the soil and increase the production cost for the growers. To tackle this problem, crop breeders have made tremendous efforts to improve the N-use efficiency of agricultural crops. This article summarizes the recent progress in identifying QTLs/genes, regulatory pathways, and hormonal crosstalk involved in the growth and development of legumes roots system. Moreover, we have described the progress in microbe–root symbiosis via QTLs/genes regulations, which results in improved N acquisition. Understanding the molecular mechanisms that regulate the root architecture in response to N availability may help to strengthen the root system of legumes and promote environmental friendly and sustainable agriculture

    Biofabrication of Fe<sub>3</sub>O<sub>4</sub> Nanoparticles from <i>Spirogyra hyalina</i> and <i>Ajuga bracteosa</i> and Their Antibacterial Applications

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    Iron oxide nanoparticles (NPs) have attracted substantial interest due to their superparamagnetic features, biocompatibility, and nontoxicity. The latest progress in the biological production of Fe3O4 NPs by green methods has improved their quality and biological applications significantly. In this study, the fabrication of iron oxide NPs from Spirogyra hyalina and Ajuga bracteosa was conducted via an easy, environmentally friendly, and cost-effective process. The fabricated Fe3O4 NPs were characterized using various analytical methods to study their unique properties. UV-Vis absorption peaks were observed in algal and plant-based Fe3O4 NPs at 289 nm and 306 nm, respectively. Fourier transform infrared (FTIR) spectroscopy analyzed diverse bioactive phytochemicals present in algal and plant extracts that functioned as stabilizing and capping agents in the fabrication of algal and plant-based Fe3O4 NPs. X-ray diffraction of NPs revealed the crystalline nature of both biofabricated Fe3O4 NPs and their small size. Scanning electron microscopy (SEM) revealed that algae and plant-based Fe3O4 NPs are spherical and rod-shaped, averaging 52 nm and 75 nm in size. Energy dispersive X-ray spectroscopy showed that the green-synthesized Fe3O4 NPs require a high mass percentage of iron and oxygen to ensure their synthesis. The fabricated plant-based Fe3O4 NPs exhibited stronger antioxidant properties than algal-based Fe3O4 NPs. The algal-based NPs showed efficient antibacterial potential against E. coli, while the plant-based Fe3O4 NPs displayed a higher zone of inhibition against S. aureus. Moreover, plant-based Fe3O4 NPs exhibited superior scavenging and antibacterial potential compared to the algal-based Fe3O4 NPs. This might be due to the greater number of phytochemicals in plants that surround the NPs during their green fabrication. Hence, the capping of bioactive agents over iron oxide NPs improves antibacterial applications
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