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During industrial production activities, industrial products serve as critical resources whose performance is subject to various external factors and usage conditions. To ensure uninterrupted production processes and to guarantee the safety of the production personnel, a real-time analysis of the industrial product quality and subsequent decision making are essential. Conventional detection methods have inherent limitations in meeting the real-time demands of processing large volumes of data and achieving high response speeds. For instance, the regular inspection and maintenance of cars can be time-consuming and labor-intensive if performed manually. Furthermore, monitoring the damage situation of bearings in real time through a manual inspection may lead to delays and may hinder production efficiency. Therefore, this paper presents online machine-learning-based methods to address these two practical problems and simulates them on various datasets to meet the requirements of efficiency and speed. Prior to being fed into the network for training, the data undergo identity parsing to transform them into easily identifiable streaming data. The training process demonstrates that online machine learning ensures timely model updates as small batches of data are sent to the network. The test results indicate that the online learning method exhibits highly stable and effective performance, optimizing the training process.
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Osteosarcoma (OS) is a common primary malignant bone tumor in young adolescents. About 30% of patients with OS have a recurrence, and the overall survival after OS recurrence is not good. In this study, we aimed to analyze and identify factors that influence prognosis after OS relapse. We retrieved the Gene Expression Omnibus data set and collected a series of transcriptome data with clinical information, including microRNA (miRNA) and messenger RNA (mRNA) expression profiles in recurrent OS. Upon comparison of the dysregulated genes of survival status in the recurrent OS samples, it was found that there were 268 differential expressed (DE) mRNAs and six DE miRNAs. These genes are related to pathways in cancer. We also predicted the interaction networks of these DE mRNAs and miRNAs. Further, we applied cibersort to estimate the proportion of immune cell types and we discovered that natural killer cells and macrophages have different abundance between good prognosis and poor prognosis. Our study indicates that for recurrent OS samples, there are several differences between these two groups, including gene expression and the status of immune activation. The immunity status is a candidate signature for disease prediction, prevention, and therapy choices.
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This study was designed to investigate the effect of particulate matter with a diameter of ≤2.5 µm (PM2.5) on bleomycin (BLM) induced pulmonary fibrosis. Thirty-two Sprague Dawley rats were assigned into four groups (intratracheal instillation of 500 µL of PBS (control), 2 mg/kg PM2.5, 3.5 mg/kg BLM A5, and BLM plus 2.0 mg/kg PM2.5) and were fed for 14 days. All rats were sacrificed after the study. Lung tissues and bronchoalveolar lavage fluid were prepared for histological and biological analysis. We found that PM2.5 caused dose-trend pulmonary alveolitis and fibrosis. Histological scores, expression of α-SMA and Collagen I as well as contents of TNF-α and IL-6 in lung tissues were upregulated by treatment of PM2.5. PM2.5 did not change the percentage of neutrophils and macrophages. The expression of endoplasmic reticulum (ER) stress markers Chop and GRP78 was upregulated by treatment of PM2.5. In comparison with either PM2.5 or BLM treatment, BLM plus PM2.5 treatment induced higher histological scores, higher expression of α-SMA, collagen I, TNF-α, IL-6, Chop, and GRP78, with increased neutrophil counts and decreased macrophage counts. We concluded that PM2.5 instillation caused pulmonary alveolitis and fibrosis by stimulating ER stress responses in rat. PM2.5 also showed a synergistic effect on BLM-induced pulmonary fibrosis.
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Antibióticos Antineoplásicos/farmacologia , Bleomicina/farmacologia , Estresse do Retículo Endoplasmático/efeitos dos fármacos , Material Particulado/farmacologia , Fibrose Pulmonar/induzido quimicamente , Animais , Antibióticos Antineoplásicos/química , Bleomicina/química , Tamanho da Partícula , Material Particulado/química , Fibrose Pulmonar/metabolismo , Fibrose Pulmonar/patologia , Ratos , Ratos Sprague-DawleyRESUMO
OBJECTIVE: To evaluate serum antigens assay combined with chest CT scan in the diagnosis of patients of invasive pulmonary aspergillosis (IPA) without neutropenia. METHODS: One hundred and thirteen patients with suspected IPA admitted in Department of Respiratory Medicine, Infectious Diseased, Kidney Disease Centre and ICU were included in the study. Serum levels of 1-3-ß-D-glucan (G) antigen and galactomannan antigen (GM) were assayed and chest CT scans were performed in all cases. Clinically invasive pulmonary aspergillosis was defined as proven, probable and possible. Treatment effectiveness was recorded. RESULTS: In this series 4 proven IPA, 36 probable IPA, 16 possible IPA, and 57 non-aspergillosis infection were diagnosed. GM test was more sensitive than G test. The specificity of two serum test was 84.2% and 87.7%, respectively. The sensitivity of chest CT was 30.0 %. The specificity of GM assay combined with chest CT was 100.0 %, while the sensitivity was 47.5%. CONCLUSION: The GM assay combined with chest CT may increase the specificity of diagnosis for IPA patients without neutropenia.
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Aspergilose Pulmonar Invasiva/diagnóstico , Adulto , Idoso , Idoso de 80 Anos ou mais , Feminino , Humanos , Aspergilose Pulmonar Invasiva/sangue , Aspergilose Pulmonar Invasiva/diagnóstico por imagem , Masculino , Mananas/sangue , Pessoa de Meia-Idade , Sensibilidade e Especificidade , Tomografia Computadorizada por Raios X , Adulto Jovem , beta-Glucanas/sangueRESUMO
The Industrial Internet is the key for Industry 4.0, and network control in the industrial internet usually requires high reliability and low latency. The industrial internet ubiquitously connects all relevant Internet of things (IoT) sensing and actuating devices, allowing for monitoring and control of multiple industrial systems. Unfortunately, guaranteeing very low end-to-end wait times is particularly challenging because the transmissions must be articulated in time. In the industrial internet, there usually coexist multiple streams. The amount of data for controlling business flows is small, while other business flows (e.g., interactive business flows, sensing business flows) typically transmit large amounts of data across the network. These data flows are mainly processed in traditional switches using a queue-based "store-and-forward" mode for data exchange, consuming much bandwidth and filling up the network buffers. This causes delays in the control flow. In our research, we propose an Software Defined Networking (SDN) framework to reduce such delays and ensure real-time delivery of mixed service flows. The scheduling policy is performed through the northbound Application Programming Interface (API) of the SDN controller so that the dynamic network topology can be satisfied. We use the concept of edge and intermediate switches, where each switch port sends data at a specific time to avoid queuing intermediate switches. We also introduce an improved Langerian relaxation algorithm to select the best path to ensure low latency. Finally, the path rules are deployed to the switches in flow tables through the SDN controller. Our mathematical analysis and simulation evaluation demonstrates that the proposed scheme is more efficient.
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OBJECTIVE: To explore the variability of event-related potentials P(300) and memory function in patients with obstructive sleep apnea syndrome(OSAS). METHODS: Polysomnography (PSG) event-related potentials (ERPs) P(300) and Wechsler Memory Scale (WMS) were detected in 30 subjects with OSAS and 20 normal controls. RESULTS: The memory quotient [(86 ± 13) scores] in the OSAS group was significantly lower than that in the control group (P < 0.01). The latency of P(300) [(410 ± 80) ms at Cz and (409 ± 80) ms at Pz] in the OSAS group was significantly longer than that in the control group (P < 0.01). In the OSAS group, the latency of P(300) was correlated negatively with the memory quotient and nocturnal hypoxemia, but positively with apea/hypopnea index (AHI, P < 0.01). CONCLUSION: OSAS has memory deficit, which can be evaluated comprehensively by P(300) and WMS. The longer latency of P(300) might be regarded as one of the electrophysiological markers to indicate the severity of cognition in OSAS. Recurrent attacks of nocturnal intermittent hypoxemia may cause the regional brain damage related to cognition defect.
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Potenciais Evocados , Memória , Apneia Obstrutiva do Sono/fisiopatologia , Apneia Obstrutiva do Sono/psicologia , Adulto , Estudos de Casos e Controles , Feminino , Humanos , Masculino , Pessoa de Meia-IdadeRESUMO
OPC UA PubSub Over TSN is the core of the Industrial Internet and guarantees flexible interaction features for multiple parties in real-time for industrial communication. To achieve the transmission of time-triggered traffic in PubSub NetworkMessage, routing and scheduling data need to be analyzed. Traditional routing and scheduling methods have disadvantages such as low calculation efficiency, slow convergence speed, and poor reliability. Therefore, a routing and scheduling method for OPC UA PubSub NetworkMessage time-triggered traffic based on an improved ant colony algorithm is proposed. First, we analyze the network topology model, traffic model, and traffic transmission constraints of TSN; then, we apply the K-means clustering algorithm, the KSP algorithm based on the shortest path idea, and an improved ant colony algorithm for traffic classification, routing, and scheduling calculation. Experimental results show that this method can effectively reduce the delay increase caused by link congestion, improve the ability to schedule time-triggered traffic, and accelerate the convergence rate of iteration.
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Spinal cord injury (SCI) is a devastating disease, with a high rate of disability. In this meta-analysis, we aimed to comprehensively assess the efficacy and safety of mesenchymal stem cells (MSCs) in treating clinical SCI patients. We systematically searched the PUBMED, EMBASE, Chinese Biomedical (CBM), Web of Science and Cochrane databases using the strategy of combination of free-text words and MeSH terms. The indicators of the American Spinal Injury Association (ASIA) impairment scale (AIS)-grading improvement rate and adverse effects were displayed with an overall relative risk (RR). For the continuous variables of the ASIA motor score, light-touch score, pinprick score, activities of daily living (ADL) score, and residual urine volume, we used odds ratio (OR) to analyze the data. Eleven studies comprising 499 patients meeting all inclusion and exclusion criteria were included. No serious heterogeneity or publication bias was observed across each study. The results showed that significant improvements of total AIS grade (RR: 3.70; P < 0.001), AIS grade A (RR: 3.57; P < 0.001), ASIA sensory score (OR: 8.63; P < 0.001) and reduction of residual urine volume (OR: -36.37; P = 0.03) were observed in experimental group compared with control group. However, no significant differences of motor score (OR: 1.37, P = 0.19) and ADL score (OR: 2.61, P = 0.27) were observed between experimental and control groups. In addition, there were no serious and permanent adverse effects after cell transplantation. Cell transplantation with MSCs is effective and safe in improving the sensory and bladder functions of SCI patients.
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Transplante de Células-Tronco Mesenquimais/efeitos adversos , Traumatismos da Medula Espinal/terapia , Transplante de Células/efeitos adversos , Resultado do TratamentoRESUMO
OBJECTIVE: To study the therapeutic effect of ceftazidime (CAZ) in a rabbit model of peritonitis caused by Escherichia coli producing CTX-M-14 extended-spectrum beta-lactamase (ESBL). METHODS: The peritonitis model was produced by intra-abdominal injection of a mixture of 3 x 10(8) CFU/ml Escherichia coli producing CTX-M-14 ESBL and 10% BaSO(4). All rabbits were randomized into four groups. Four hours after the bacteria were injected, three groups were intramuscularly administered ceftazidime (100 mg/kg, twice a day), cefotaxime (100 mg/kg, twice a day) and piperacillin/tazobactam (225 mg/kg, every 8 h) respectively. The fourth group did not receive any therapy as a control. The temperature, leucocyte counts and percentage of neutrophils were closely observed. The dying time of rabbits was recorded and anatomized immediately, and pathology of the great omentum was examined. RESULTS: The temperature of the control group became normal on the 6th day, while the temperature of the other three groups returned normal 48 h after the injection of the bacteria. Compared with the mortality of the cefotaxime-treated group (50%) and the control group (52%), the mortality of the ceftazidime-treated group (22%) was significantly decreased (chi(2) = 5.64, 6.13, P < 0.05). The administration of ceftazidime also inhibited the incidence of abdominal abscess in the survived rabbits (16%) in comparison with the control group (50%, chi(2) = 3.93, P < 0.05). In addition, the leucocyte counts of the ceftazidime-treated group returned normal at the end of treatment, while those of the cefotaxime group and the control group were still high. The above measurements showed no difference between the ceftazidime-treated group and the piperacillin/tazobactam-treated group (P > 0.05). CONCLUSION: Ceftazidime showed good therapeutic effect in peritonitis caused by Escherichia coli producing CTX-M-14 ESBL.
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Ceftazidima/uso terapêutico , Infecções por Escherichia coli/tratamento farmacológico , Escherichia coli/metabolismo , Peritonite/tratamento farmacológico , beta-Lactamases/biossíntese , Animais , Ceftazidima/farmacologia , Infecções por Escherichia coli/microbiologia , Peritonite/microbiologia , CoelhosRESUMO
BACKGROUND AND OBJECTIVES: Pulmonary nocardiosis (PN) is a rare but life-threatening disease that is caused by Nocardia spp. The aim of this study was to characterize the common risk factors, clinical features, imaging findings, treatment and outcomes of PN, which are useful for an early diagnosis and patient management. METHODS: From January 2009 to June 2013, a retrospective study was performed on all PN cases that were diagnosed at our hospital. RESULTS: The study included 17 patients who were diagnosed with PN. Of these patients, 4 developed concomitant disseminated disease. A male predominance was observed among the patients with PN (76.47%). The most common risk factors were corticosteroid therapy (64.71%), diabetes mellitus (29.41) and chronic lung disease (23.53%). Cough and fever were the most common symptoms (94% and 71%, respectively). One or more nodules or masses (82.35%) and consolidations (58.82%) were the most frequent radiologic abnormalities, and cavitation mostly occurred within two weeks. The median time to diagnosis was 25 days. Overall, the mortality rate was 18.75% for PN, and death was most frequent among patients who received immunosuppressive drugs. For the patients with central nervous system involvement, the mortality rate was 50%. CONCLUSION: PN remains a rare opportunistic infection that mainly affects immunocompromised patients. A high clinical index of suspicion is necessary for an early diagnosis and timely treatment in immunocompromised patients who present with new nodules or masses evolving into cavitation in a short amount of time.