Notes

Ionizing Radiation-Induced Extracellular Vesicle Launch Helps bring about AKT-Associated Tactical Result inside SH-SY5Y Neuroblastoma Tissues.
Performance is examined with support vector machine (SVM), 1 dimensional convolutional network (1D CNN), and several vegetation indices, namely Normalized Difference Vegetation Index (NDVI), Normalized Difference Red Edge (NDRE), Optimised Soil-Adjusted Vegetation Index (OSAVI), and Merris Terrestrial Chlorophyll Index (MTCI). All machine learning algorithms can segregate infection stages, MLP modal had a highest overall accuracy 86.67%, compared to SVM and 1D CNN at 66.67% and 73.33%. Whereas for vegetation index, it can only detect Stage C tree, and not able to differentiate between Healthy, Stage A and Stage B tree. In term of computational cost, MLP modal had balance performance with moderate training time, but faster inference time. It demonstrates effectiveness on BSR disease detection, even at early infection stage.β-Boswellic acid (β-BA), a potent NF-kB signaling pathway inhibitor, has shown synergistic anti-cancerous activity (NCT03149081, NCT00243022 and NCT02977936) in various clinical trials as complementary therapies. The study has been conducted to investigate the effect and efficacy of 2-pyridin-4-yl methylene β-boswellic acid (PMBA) and 5-Flourouracil (5-FU) in combination therapy for the treatment of KRAS mutant colon cancer. Analysis of isobologram showed synergistic combination index (CI > 1) of PMBA and 5-FU against the HCT-116 G13D and SW-620 G12V cell lines. The growth-inhibiting PMBA also caused apoptosis mediating effects with dose-dependent increase in caspase-3 activity, while inhibiting the formation of colonies in combination with 5-FU. As evident, PMBA affected colorectal 3D CSC properties including the ability to self-renew along with the expression of multi-drug resistance genes, viz., ABCB1, ABCC1 and ALDH1A1, ALDH1A2, ALDH1A3, ALDH3A1, and CSC markers like CD44, CD166, EPCAM, OCT-4, SOX-2, and NANOG compared with those in 2D model explaining the expression pattern of oncogenic KRAS G13D, G12V mutation. When examined for plasma level of PMBA (20 mg) and PMBA+5-FU (20 + 40 mg), a time-dependent increase in the level of the drug (5-FU) was detected, indicating its absorption and bioavailability with excellent half-life of the PMBA for both routes of administration (IV and Oral), thereby indicating a new adjuvant therapy for KRAS mutant colon cancer.
Life satisfaction plays a crucial role in integral development and mental health during childhood and adolescence. Recently, it has been shown that cyberbullying has severe consequences for the mental health and wellbeing of victims such as increased anxiety, depressive symptoms and even suicide risk. Although the role of the family in life satisfaction and cyberbullying behaviors has been studied, there is limited information on its impacts during the current pandemic period.

The aim of this study is to determine the role of family variables regarding students' levels of life satisfaction and cyberbullying victimization during the pandemic period.

Structural equation modeling was done using data from a cross-sectional study (n = 287; age ranged 14-18) conducted in six schools in Santiago, Chile during 2020.

The tested model has a good fit and parsimonious adjustment. It explained 25.9% of the life satisfaction and 9% of the variance of cyberbullying victimization. Family support was positively associated with life satisfaction (p < 0.001) and negatively associated with cyberbullying victimization (p < 0.05). Likewise, family conflict was positively associated with levels of cyberbullying victimization (p < 0.05) and negatively associated with life satisfaction levels (p < 0.001). Finally, family visits were only positively associated with life satisfaction (p < 0.01).

Generating interventions on several levels focused on positive family bonds has become essential and urgent. This is especially important considering their protective impacts on cyberbullying victimization in promotion of adolescent well-being and quality of life.
Generating interventions on several levels focused on positive family bonds has become essential and urgent. This is especially important considering their protective impacts on cyberbullying victimization in promotion of adolescent well-being and quality of life.Intracranial cavernous angiomas or cavernomas (ICCs) are abnormal blood-filled vasculatures made of mono-endothelial layer and characterized by their bubble-like caverns. Brainstem cavernomas (BSCs) is a critical form of ICCs since slight changes in the lesion can result in devastating or life-threatening outcomes. We hereby present a rare case of BSC developed in the mesencephalic tectum with intraventricular bleeding and Parinaud's Syndrome. Our patient was managed by complete surgical resection of the lesion through an infra-tentorial supracerebellar approach. Additionally, we reviewed and analyzed the hitherto reported cases of isolated tectal cavernomas (TCs) in the literature, including our case, to elucidate the main factors associated with the management outcomes of TCs. There have been 25 cases of isolated TC reported until now. Most of the patients were adults between 18-77 y of age, except for two children (7 and 13 y). There was no sex predominance. Symptomatic patients presented with headache 56%, altered level of consciousness 24%, and/or double vision 20%. Most cases (64%) had hemorrhagic lesions at presentation, and 60% of all cases experienced recurrent hemorrhages. Parinaud's Syndrome was recorded in five cases, including the current one. All cases affected with Parinaud's were males. Lesion size was a determinant of the outcome as larger lesions were more likely to result in persistent deficits. Surgical resection of the lesion was an effective management modality with ∼79% (15/19) of patients who underwent surgery ended up with complete recovery.[This corrects the article DOI 10.15766/mep_2374-8265.11072.].Visual inspection of the cervix with acetic acid (VIA), though error prone, has long been used for screening women and to guide management for cervical cancer. The automated visual evaluation (AVE) technique, in which deep learning is used to predict precancer based on a digital image of the acetowhitened cervix, has demonstrated its promise as a low-cost method to improve on human performance. However, there are several challenges in moving AVE beyond proof-of-concept and deploying it as a practical adjunct tool in visual screening. One of them is making AVE robust across images captured using different devices. We propose a new deep learning based clustering approach to investigate whether the images taken by three different devices (a common smartphone, a custom smartphone-based handheld device for cervical imaging, and a clinical colposcope equipped with SLR digital camera-based imaging capability) can be well distinguished from each other with respect to the visual appearance/content within their cervix regions. We argue that disparity in visual appearance of a cervix across devices could be a significant confounding factor in training and generalizing AVE performance. Our method consists of four components cervix region detection, feature extraction, feature encoding, and clustering. Multiple experiments are conducted to demonstrate the effectiveness of each component and compare alternative methods in each component. Our proposed method achieves high clustering accuracy (97%) and significantly outperforms several representative deep clustering methods on our dataset. The high clustering performance indicates the images taken from these three devices are different with respect to visual appearance. Our results and analysis establish a need for developing a method that minimizes such variance among the images acquired from different devices. It also recognizes the need for large number of training images from different sources for robust device-independent AVE performance worldwide.Scientific evidence for the urgency of curbing the emergence and spread of antimicrobial resistance is incontrovertible. Yet, the translation of knowledge into effective design and implementation of action plans is hampered by gaps in perception, attitudes and practices in the human health, agriculture, and environmental sectors. To fill these gaps in regions where the disease burden attributable to antimicrobial resistance is heaviest, a cadre of One Health Stewards equipped with strategies to translate and meld global and local evidence for knowledge dissemination is deemed necessary. This opinion articulates a case for cultivating and deploying One Health Antibiotic Stewards according to specific actions within the environmental context of antibiotic resistance.The profunda femoris artery perforator flap (PAP) based on a proximal skin perforator is often used for breast reconstruction. We report two cases of lateral knee joint reconstruction using a PAP flap based on a distal skin perforator. Case 1 is a 16-year-old male adolescent who underwent inappropriate resection of a synovial sarcoma on the lateral aspect of the right knee joint, which necessitated additional wide resection that led to a soft tissue defect measuring 11 × 5 cm. We elevated a propeller PAP flap (23 × 7 cm) for defect reconstruction, and the flap survived completely. Case 2 is an 81-year-old woman who underwent wide resection of an undifferentiated pleomorphic sarcoma on the lateral aspect of the right knee joint showed a persistent soft tissue defect measuring 9 × 6 cm. We elevated a propeller PAP flap (25 × 7 cm) as described in Case 1, and the flap survived completely. Skin perforators of the profunda femoris artery are present both in the proximal and distal thigh; therefore, a PAP flap can also be elevated in the distal thigh. However, a few reports have discussed PAP flap elevation in the distal thigh for knee joint reconstruction. The PAP flap with a distal skin perforator can be elevated with a relatively large volume of skin paddle and may be a useful option for lateral knee joint reconstruction.Connective tissue diseases (CTDs) demonstrating features of interstitial lung disease (ILD) include systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), systemic sclerosis (SSc), dermatomyositis (DM) and polymyositis (PM), ankylosing spondylitis (AS), Sjogren syndrome (SS), and mixed connective tissue disease (MCTD). On histopathology of lung biopsy in CTD-related ILDs (CTD-ILDs), multi-compartment involvement is an important clue, and when present, should bring CTD to the top of the list of etiologic differential diagnoses. Diverse histologic patterns including nonspecific interstitial pneumonia (NSIP), usual interstitial pneumonia (UIP), organizing pneumonia, apical fibrosis, diffuse alveolar damage, and lymphoid interstitial pneumonia can be seen on histology in patients with CTD-ILDs. Although proportions of ILDs vary, the NSIP pattern accounts for a large proportion, especially in SSc, DM and/or PM and MCTD, followed by the UIP pattern. In RA patients, interstitial lung abnormality (ILA) is reported to occur in approximately 20-60% of individuals of which 35-45% will have progression of the CT abnormality. Subpleural distribution and greater baseline ILA involvement are risk factors associated with disease progression. Asymptomatic CTD-ILDs or ILA patients with normal lung function and without evidence of disease progression can be followed without treatment. Immunosuppressive or antifibrotic agents for symptomatic and/or fibrosing CTD-ILDs can be used in patients who require treatment.
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