Novel Robotic Arm Working-Area AI Protection System.

From traditionally handmade items to the ability of people to use machines to process and even to human-robot collaboration, there are many risks. Traditional manual lathes and milling machines, sophisticated robotic arms, and computer numerical control (CNC) operations are quite dangerous. To ensure the safety of workers in automated factories, a novel and efficient warning-range algorithm is proposed to determine whether a person is in the warning range, introducing YOLOv4 tiny-object detection algorithms to improve the accuracy of determining objects. The results are displayed on a stack light and sent through an M-JPEG streaming server so that the detected image can be displayed through the browser. According to the experimental results of this system installed on a robotic arm workstation, it is proved that it can ensure recognition reaches 97%. When a person enters the dangerous range of the working robotic arm, the arm can be stopped within about 50 ms, which will effectively improve the safety of its use.

Determining Work-Rest Schedules for Visual Tasks That Use Optical Head-Mounted Displays Based on Visual Fatigue and Visually Induced Motion Sickness Recovery.

This study aimed to determine work-rest schedules for visual tasks of different lengths by evaluating visual fatigue and visually induced motion sickness (VIMS) using an optical head-mounted display (OHMD). Thirty participants were recruited to perform 15 and 30 min visual tasks using an OHMD. After completing each visual task, participants executed six levels of rest time. Critical flicker fusion frequency (CFF) values, relative electroencephalography indices, and Simulator Sickness Questionnaire (SSQ) scores were collected and analyzed. Results indicated that after completing the 15 and 30 min visual tasks, participants experienced visual fatigue and VIMS. There was no significant difference between baseline CFF values, four electroencephalography relative power index values, and SSQ scores when participants completed a 15 min visual task followed by a 20 min rest and a 30 min visual task followed by a 30 min rest. Based on our results, a 20 min rest for visual fatigue and VIMS recovery after a 15 min visual task on an OHMD and a 25 min rest for visual fatigue and VIMS recovery after a 30 min visual task on an OHMD are recommended. This study suggests a work-rest schedule for OHMDs that can be used as a reference for OHMD user guidelines to reduce visual fatigue and visually induced motion sickness.

Hierarchical Image Transformation and Multi-Level Features for Anomaly Defect Detection.

Anomalies are a set of samples that do not follow the normal behavior of the majority of data. In an industrial dataset, anomalies appear in a very small number of samples. Currently, deep learning-based models have achieved important advances in image anomaly detection. However, with general models, real-world application data consisting of non-ideal images, also known as poison images, become a challenge. When the work environment is not conducive to consistently acquiring a good or ideal sample, an additional adaptive learning model is needed. In this work, we design a potential methodology to tackle poison or non-ideal images that commonly appear in industrial production lines by enhancing the existing training data. We propose Hierarchical Image Transformation and Multi-level Features (HIT-MiLF) modules for an anomaly detection network to adapt to perturbances from novelties in testing images. This approach provides a hierarchical process for image transformation during pre-processing and explores the most efficient layer of extracted features from a CNN backbone. The model generates new transformations of training samples that simulate the non-ideal condition and learn the normality in high-dimensional features before applying a Gaussian mixture model to detect the anomalies from new data that it has never seen before. Our experimental results show that hierarchical transformation and multi-level feature exploration improve the baseline performance on industrial metal datasets.

Effects of the media conditioned by various macrophage subtypes derived from THP-1 cells on tunneling nanotube formation in pancreatic cancer cells.

BACKGROUND: Tunneling nanotubes (TNTs) are special membrane structures for intercellular communications. Vital cargoes (such as mitochondria) could be delivered from healthy cells to rescue damaged ones through TNTs. The TNTs could be utilized for the purpose of systematic delivery of therapeutic agents between cells. However, there are insufficient studies on the controlled enhancement of TNT formations. The purpose of this study is to understand how macrophages influence the TNT formation in cancer cells. RESULTS: Here we compared the capabilities of inducing TNTs in human pancreatic cancer cells (PANC-1) of the media conditioned by M0, M1 and M2 macrophages derived from THP-1 cells. The M0 and M1 macrophage conditioned media promoted TNT formation. Using a focused ion beam to cut through a TNT, we observed tunnel-like structures inside dense cytoskeletons with scanning electron microscopy. The TNT formation correlated with raised motility, invasion, and epithelial-mesenchymal transition in the PANC-1 cells. Mitochondria and lysosomes were also found to be transported in the TNTs. CONCLUSIONS: These results suggest that TNT formation could be one of the responses to the immune stress in pancreatic cancer cells caused by M0 and M1 macrophages. This finding is valuable for the development of macrophage-targeting cancer therapy.

Treatment of acute lymphoblastic leukemia from traditional chinese medicine.

Acute lymphoblastic leukemia (ALL) is a cancer that immature white blood cells continuously overproduce in the bone marrow. These cells crowd out normal cells in the bone marrow bringing damage and death. Methotrexate (MTX) is a drug used in the treatment of various cancer and autoimmune diseases. In particular, for the treatment of childhood acute lymphoblastic leukemia, it had significant effect. MTX competitively inhibits dihydrofolate reductase (DHFR), an enzyme that participates in the tetrahydrofolate synthesis so as to inhibit purine synthesis. In addition, its downstream metabolite methotrexate polyglutamates (MTX-PGs) inhibit the thymidylate synthase (TS). Therefore, MTX can inhibit the synthesis of DNA. However, MTX has cytotoxicity and neurotoxin may cause multiple organ injury and is potentially lethal. Thus, the lower toxicity drugs are necessary to be developed. Recently, diseases treatments with Traditional Chinese Medicine (TCM) as complements are getting more and more attention. In this study, we attempted to discover the compounds with drug-like potential for ALL treatment from the components in TCM. We applied virtual screen and QSAR models based on structure-based and ligand-based studies to identify the potential TCM component compounds. Our results show that the TCM compounds adenosine triphosphate, manninotriose, raffinose, and stachyose could have potential to improve the side effects of MTX for ALL treatment.

In Silico Investigation of Cytochrome P450 2C9 in relation to Aging Using Traditional Chinese Medicine.

Cytochrome P450 2C9 (CYP2C9) metabolizes dehydroepiandrosterone-sulfate (DHEA-S), but in elderly people the amount of DHEA-S remaining after CYP2C9 metabolization may be insufficient for optimal health. A prediction model, molecular docking, and molecular dynamics were used to screen the Traditional Chinese Medicine (TCM) database to determine molecular compounds that may inhibit CYP2C9. The candidate compounds apocynoside(I), 4-methoxymagndialdehyde, and prunasin have higher Dock Scores, and prediction bioactivity than warfarin (the control drug). The interaction between 4-methoxymagndialdehyde and CYP2C9 is more intense than with other TCM compounds, but the simulation is longer. In these compounds, apocynoside(I) and prunasin have a greater number of pathways for their flexible structure, but these structures create weak interactions. These candidate compounds, which are known to have antioxidation and hypolipidemic functions that have an indirect effect on the aging process, can be extracted from traditional Chinese medicines. Thus, these candidate compounds may become CYP2C9 inhibitors and play an important role in providing optimal health in the elderly.

Profiling the expression of interleukin (IL)-28 and IL-28 receptor α in systemic lupus erythematosus patients.

BACKGROUND: Interleukin (IL)-28 is an interferon-λ-family member involved in immunity against viral infection and tumour. We here determined the expression profiles of IL-28 and IL-28 receptor α (IL-28RA) in patients with systemic lupus erythematosus (SLE) to evaluate the possibility that IL-28 is linked to the pathogenesis of SLE. MATERIALS AND METHODS: The serum IL-28 protein levels were determined by ELISA, and the IL-28 and IL-28RA transcript levels in peripheral blood mononuclear cells (PBMCs) and peripheral blood T cells were determined by RT-PCR. The levels in patients with SLE with the active disease activity were statistically compared with those in normal controls. RESULTS: IL-28 protein in sera and IL-28 transcripts in PBMCs and unactivated T cells were detectable only in some individuals, and IL-28 transcripts in T cells were induced by cell activation with anti-CD2, anti-CD3 and anti-CD28 antibodies. However, compared with normal controls, patients with SLE more frequently had detectable IL-28 protein in serum and had the higher IL-28 transcript levels in activated CD4(+) T cells, but not activated CD8(+) T cells. Two IL-28RA transcripts isoforms were detected in PBMCs and T cells, and their levels in patients with SLE were comparable with those in normal controls. CONCLUSIONS: The expression of IL-28, a T-cell autocrine factor, is dysregulated in patients with SLE, supporting the possibility that IL-28 may contribute to some of the SLE pathogenesis.

The analysis of CIS, SOCS1, SOSC2 and SOCS3 transcript levels in peripheral blood mononuclear cells of systemic lupus erythematosus and rheumatoid arthritis patients.

Being expressed in immune cells, cytokine-inducible SH2 protein (CIS) and suppressors of cytokine signaling proteins, SOCS1, SOCS2 and SOCS3, can regulate cytokine signaling and immune responses. To evaluate the possible expressional dysregulation of CIS, SOCS1, SOCS2 and SOCS3 in systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA) patients, the transcript levels of these genes in peripheral blood mononuclear cells (PBMCs) from SLE and RA patients were determined and statistically compared with those in PBMCs from normal individuals. It was found that SLE patients with the active disease activity significantly express higher CIS transcript levels than normal individuals and SLE patients with the inactive disease activity, whereas the difference in SOCS1, SOCS2 and SOCS3 transcript levels between normal individuals and SLE patients is not statistically significant. However, transcript levels of these CIS/SOCS genes in RA patients were not significantly different from those in normal individuals, except that treatment with a TNF-alpha-blocking agent in RA patients appears to enhance the CIS transcript expression, but down-regulates the SOCS2 transcript expression in PBMCs. These data suggest that CIS can serve as an SLE disease marker and may be involved in the pathogenesis of SLE, and that TNF-alpha may play an important role in the regulation of CIS and SOCS2 gene expression in PBMCs in vivo.

Altered FOXO1 transcript levels in peripheral blood mononuclear cells of systemic lupus erythematosus and rheumatoid arthritis patients.

FOXO forkhead transcription factors play an important role in controlling lymphocyte activation and proliferation. To evaluate the possibility that FOXO transcriptional expression is dysregulated in systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA) patients, we determined the quantities of FOXO1, FOXO3a, and FOXO4 transcripts in peripheral blood mononuclear cells (PBMCs) from normal controls as well as from SLE and RA patients. Results showed that FOXO1 and FOXO3a are dominant FOXO factors at the transcript level in PBMCs. Statistical analysis showed that the FOXO1 transcript levels in RA patients and in SLE patients with active disease activity were significantly lower than those in normal controls, and the FOXO1 transcript levels were inversely correlated with lupus disease activity. In contrast, the differences in FOXO3a and FOXO4 transcript levels between normal controls and patients were not significant. These data suggest that the transcriptional dysregulation in FOXO1 is possibly linked to the pathogenesis of SLE and RA.

Association of a BTLA gene polymorphism with the risk of rheumatoid arthritis.

B and T lymphocyte attenuator (BTLA) is an immuno-inhibitory receptor with the ability to deliver inhibitory signal for suppressing lymphocyte activation. To test the potential association of the human BTLA gene with the development of rheumatoid arthritis (RA), a genetic case-control association study was conducted, by using a single nucleotide polymorphism (SNP), C+800T SNP, in the exon 5 of the human BTLA gene for genotyping 93 RA patients and 294 normal control individuals. The results showed that there is statistically significant difference in the genotype distributions between RA and control groups (p = 0.022). When compared with the heterozygous genotype (C/T genotype), the homozygous genotype (C/C or T/T genotype) appears to confer the increased risk of the RA susceptibility with the odds ratio of 1.88 (p = 0.015). These data indicate the significant association between the C+800T SNP in the BTLA gene with the RA susceptibility.