Search

Numerous chemical substances are used in the semiconductor manufacturing process, and homogeneity and quality control of surface treatment are performed through precise control of chemical substances in the process. The repeatability and reproducibility of each process is a fab’s greatest concern, and even a slight deviation from specifications can lead to expensive equipment contamination and wafer scrap. In this study, we propose a real-time big data analysis system that integrates and manages the state of substances being measured at numerous points in a factory, and monitors them in real time, and delivers an alarm message to the manager when the preset upper/lower limit is exceeded. In addition, we propose an artificial intelligence prediction model that predicts the state of matter by using accumulated data as learning datasets. The data analysis and monitoring system and AI prediction model are designed to continuously improve accuracy through additional learning of related datasets in the future.

This chapter compares the performances of multiple Big Data techniques applied for time series forecasting and traditional time series models on three Big Data sets. The traditional time series models, Autoregressive Integrated Moving Average (ARIMA), and exponential smoothing models are used as the baseline models against Big Data analysis methods in the machine learning. These Big Data techniques include regression trees, Support Vector Machines (SVM), Multilayer Perceptrons (MLP), Recurrent Neural Networks (RNN), and long short-term memory neural networks (LSTM). Across three time series data sets used (unemployment rate, bike rentals, and transportation), this study finds that LSTM neural networks performed the best. In conclusion, this study points out that Big Data machine learning algorithms applied in time series can outperform traditional time series models. The computations in this work are done by Python, one of the most popular open-sourced platforms for data science and Big Data analysis.

Damage to the enteric nervous system (ENS) associated with intestinal inflammation may underlie persistent alterations to gut functions, suggesting that enteric neurons are viable targets for novel therapies. Mesenchymal stem cells (MSCs) offer therapeutic benefits for attenuation of neurodegenerative diseases by homing to areas of inflammation and exhibiting neuroprotective, anti-inflammatory, and immunomodulatory properties. In culture, MSCs release soluble bioactive factors promoting neuronal survival and suppressing inflammation suggesting that MSC-conditioned medium (CM) provides essential factors to repair damaged tissues. We investigated whether MSC and CM treatments administered by enema attenuate 2,4,6-trinitrobenzene-sulfonic acid (TNBS)-induced enteric neuropathy and motility dysfunction in the guinea pig colon. Guinea pigs were randomly assigned to experimental groups and received a single application of TNBS (30 mg/kg) followed by 1 × 106 human bone marrow-derived MSCs, 300 μl CM, or 300 μl unconditioned medium 3 h later. After 7 days, the effect of these treatments on enteric neurons was assessed by histological, immunohistochemical, and motility analyses. MSC and CM treatments prevented inflammation-associated weight loss and gross morphological damage in the colon; decreased the quantity of immune infiltrate in the colonic wall ( P < 0.01) and at the level of the myenteric ganglia ( P < 0.001); prevented loss of myenteric neurons ( P < 0.05) and damage to nerve processes, changes in ChAT, and nNOS immunoreactivity ( P < 0.05); and alleviated inflammation-induced colonic dysmotility (contraction speed; P < 0.001, contractions/min; P < 0.05). These results provide strong evidence that both MSC and CM treatments can effectively prevent damage to the ENS and alleviate gut dysfunction caused by TNBS-induced colitis.

Securities regulators in the world do not actively regulate cryptocurrency yet. For an effective, active securities regulation, I introduce four novel propositions for the regulators. First, the cryptocurrency technology and its peer-to-peer network are meaningless without the activities of the involved people. Second, the private key of cryptocurrency should be utilized as an identification tool. Third, the active regulation should include a mandatory reporting provision of cryptocurrency transactions and balance. Fourth, the transaction size and ledger length of cryptocurrency should be used as regulatory risk measures. My propositions are founded on a combined analysis of law, finance, math, and technology. Then, I discuss a possible unification of currencies across the globe, with the potential to establish an international cryptocurrency authority.

Pain after spinal cord injury (SCI-Pain) is one of the most debilitating sequelae of spinal cord injury, characterized as relentless, excruciating pain that is largely refractory to treatments. Although it is generally agreed that SCI-Pain results from maladaptive plasticity in the pain processing pathway that includes the spinothalamic tract and somatosensory thalamus, the specific mechanisms underlying the development and maintenance of such pain are yet unclear. However, accumulating evidence suggests that SCI-Pain may be causally related to abnormal thalamic disinhibition, leading to hyperactivity in the posterior thalamic nucleus (PO), a higher-order nucleus involved in somatosensory and pain processing. We previously described several presynaptic mechanisms by which activity in PO is regulated, including the regulation of GABAergic as well as glutamatergic release by presynaptic metabotropic gamma-aminobutyric acid (GABAB) receptors. Using acute slices from a mouse model of SCI-Pain, we tested whether such mechanisms are affected by SCI-Pain. We reveal 2 abnormal changes in presynaptic signaling in the SCI-Pain condition. The substantial tonic activation of presynaptic GABAB receptors on GABAergic projections to PO—characteristic of normal animals—was absent in mice with SCI-Pain. Also absent in mice with SCI-Pain was the normal presynaptic regulation of glutamatergic projections to the PO by GABAB receptors. The loss of these regulatory presynaptic mechanisms in SCI-Pain may be an element of maladaptive plasticity leading to PO hyperexcitability and behavioral pain, and may suggest targets for development of novel treatments. Perspective This report presents synaptic mechanisms that may underlie the development and maintenance of SCI-Pain. Because of the difficulty in treating SCI-Pain, a better understanding of the underlying neurobiological mechanisms is critical, and may allow development of better treatment modalities.

We investigated the distribution of cannabinoid receptor subtypes 1 and 2 in the detrusor of different species and studied the effects of cannabinoid receptor 1 and 2 agonists on bladder function.Cannabinoid receptor 1 and 2 expression was studied with Western blot and immunohistochemistry in rat, monkey and human detrusors. Co-staining was done for markers of sensory nerves using calcitonin gene-related peptide (Euro-Diagnostica, Malmö, Sweden) and transient receptor potential vanilloid 1, and for cholinergic nerves using VAChT (Santa Cruz Biotechnology, Santa Cruz, California). Actions of the endogenous cannabinoid receptor-1 and 2 agonist anandamide (Sigma(R)), and the cannabinoid receptor 1 and 2 agonist CP55,940 (Sigma) on isolated detrusor and during cystometry in conscious rats were recorded.Higher expression of cannabinoid receptor 2 but not cannabinoid receptor 1 was noted in the mucosa than in the detrusor. Compared to the detrusor larger amounts of cannabinoid receptor 2 containing nerves that also expressed transient receptor potential vanilloid 1 or calcitonin gene-related peptide were observed in the suburothelium. Nerve fibers containing cannabinoid receptor 2 and VAChT were located in the detrusor. Neither anandamide nor CP55,940 affected isolated detrusor carbachol (Sigma) contractions. Nerve contractions were enhanced by 10 muM anandamide and decreased by 10 muM CP55,940 (p0.05). In vivo CP55,940 increased the micturition interval by 46% and threshold pressure by 124% (p0.05). Anandamide increased threshold pressure by 26% and decreased the micturition interval by 19% (p0.05 and0.01, respectively).The distribution of cannabinoid receptor 2 on sensory nerves and in the urothelium, and effects by CP55940 on the micturition interval and threshold pressure suggest a role for cannabinoid receptor 2 in bladder afferent signals. Co-expression of VAChT and cannabinoid receptor 2, and effects by CP55940 on nerve contractions suggest a cannabinoid receptor 2 mediated modulatory effect on cholinergic nerve activity. Anandamide may not be a good tool for cannabinoid receptor studies due to its activity at other receptors.

Horseshoe kidney (HSK) is the most common renal anomaly. Reports of the incidence of renal cell carcinoma (RCC) in HSK are conflicting. Very few cases of isthmus-located RCC have been reported in the literature. We report a unique case of an isthmus-located RCC. Proper vascular and tumor imaging prior to surgery is key to successful tumor removal.

Ovarian cancer is the leading cause of death from gynaecological malignancy. Despite improved detection and treatment options, relapse rates remain high. Combining immunotherapy with the current standard treatments may provide an improved prognosis, however, little is known about how standard chemotherapy affects immune potential (particularly T cells) over time, and hence, when to optimally combine it with immunotherapy (e.g., vaccines). Herein, we assess the frequency and ratio of CD8+ central memory and effector T cells as well as CD4+ effector and regulatory T cells (Tregs) during the first 18 weeks of standard chemotherapy for ovarian cancer patients. In this pilot study, we observed increased levels of recently activated Tregs with tumor migrating ability (CD4+CD25hiFoxp3+CD127−CCR4+CD38+ cells) in patients when compared to controls. Although frequency changes of Tregs as well as the ratio of effector T cells to Tregs were observed during treatment, the Tregs consistently returned to pre-chemotherapy levels at the end of treatment. These results indicate T cell subset distributions associated with recurrence may be largely resistant to being “re-set” to healthy control homeostatic levels following standard treatments. However, it may be possible to enhance T effector to Treg ratios transiently during chemotherapy. These results suggest personalized immune monitoring maybe beneficial when combining novel immuno-therapeutics with standard treatment for ovarian cancer patients.

Immunotherapy and preventative cancer vaccines offer the hope of controlling cancer in humans with few of the undesirable side effects associated with current chemotherapy-based methods. Particulate vaccines are effectively taken up by dendritic cells, inducing both T-cell and antibody responses. Virus-like particles (VLPs) have shown preventive efficacy against cervical cancer. Herein we review a range of leading particle-based vaccine approaches: VLPs, immunostimulating complexes, liposomes, synthetic nanoparticles and microparticles (both biocompatible and biodegradable, such as polylactide-co-glycolides and poly[D,L-lactic-co-glycolic] acid). Immune efficacy, regulatory and safety issues, as well the application of immunotherapeutics to immunosuppressed patients with high levels of Tregs are also discussed. We argue that developmental issues (cost and intellectual property lifespan) and the lack of reliable preclinical animal models, rather than the lack of innovative vaccine approaches, currently present a major obstacle to rapid and effective vaccine development.