176 research outputs found

    A BERT Framework to Sentiment Analysis of Tweets

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    Sentiment analysis has been widely used in microblogging sites such as Twitter in recent decades, where millions of users express their opinions and thoughts because of its short and simple manner of expression. Several studies reveal the state of sentiment which does not express sentiment based on the user context because of different lengths and ambiguous emotional information. Hence, this study proposes text classification with the use of bidirectional encoder representations from transformers (BERT) for natural language processing with other variants. The experimental findings demonstrate that the combination of BERT with CNN, BERT with RNN, and BERT with BiLSTM performs well in terms of accuracy rate, precision rate, recall rate, and F1-score compared to when it was used with Word2vec and when it was used with no variant

    Short Term Traffic Flow Prediction with Neighbor Selecting Gated Recurrent Unit

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    Traffic flow prediction is an important component of a modern intelligent transport system. Building an effective model for short term traffic flow prediction model is challenging. Traffic is spatial temporal in nature. A traffic flow prediction model should consider an appropriate scope of neighbourhood of traffic. To address the needs of a dynamic scope of neighbourhood. We introduce a novel gated recurrent unit variant call Neighbor Selecting Gated Recurrent Unit(NSGRU). NSGRU feature a learn-able spatial kernel with distance based K-nearest neighbor trimming scheme. Embedded external traffic knowledge are used to aid with the learning of spatial kernel. The NSGRU was evaluated with a quantized real world dataset and observed consistent improvement over baseline models

    A metaheuristic-based framework for index tracking with practical constraints

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    Recently, numerous investors have shifted from active strategies to passive strategies because the passive strategy approach affords stable returns over the long term. Index tracking is a popular passive strategy. Over the preceding year, most researchers handled this problem via a two-step procedure. However, such a method is a suboptimal global-local optimization technique that frequently results in uncertainty and poor performance. This paper introduces a framework to address the comprehensive index tracking problem (IPT) with a joint approach based on metaheuristics. The purpose of this approach is to globally optimize this problem, where optimization is measured by the tracking error and excess return. Sparsity, weights, assets under management, transaction fees, the full share restriction, and investment risk diversification are considered in this problem. However, these restrictions increase the complexity of the problem and make it a nondeterministic polynomial-time-hard problem. Metaheuristics compose the principal process of the proposed framework, as they balance a desirable tradeoff between the computational resource utilization and the quality of the obtained solution. This framework enables the constructed model to fit future data and facilitates the application of various metaheuristics. Competitive results are achieved by the proposed metaheuristic-based framework in the presented simulation

    Impact of adjuvant gemcitabine containing chemotherapy following radical nephroureterectomy for patients with upper tract urothelial carcinoma: Results from a propensity-score matched cohort study

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    BACKGROUND: The evidence regarding perioperative adjuvant chemotherapy and personalized surveillance strategies for upper tract urothelial carcinoma is limited. OBJECTIVE: To evaluate whether adjuvant gemcitabine containing chemotherapy affects the oncological outcomes of advanced upper tract urothelial carcinoma (UTUC). METHODS: The CROES-UTUC registry is an observational, international, multi-center study on patients diagnosed with UTUC. Patient and disease characteristics from 2380 patients with UTUC were collected, and finally 738 patients were included in this analysis. The primary outcome of this study was recurrence-free survival. Propensity score matching was performed. Kaplan-Meier and multivariate Cox regression analyses were performed by stratifying patients according to the treatment of adjuvant chemotherapy. RESULTS: A total of 738 patients were included in this analysis, and 59 patients received adjuvant chemotherapy (AC), including 50 patients who received gemcitabine. A propensity score matching was performed, including 50 patients who received gemcitabine containing treatment and 50 patients without adjuvant chemotherapy. Disease recurrence occurred in 34.0% of patients. The recurrence rate in the AC group was 22.0%, which was significantly lower than the non-AC group (46.0%). Kaplan-Meier analyses also showed that AC was associated with a lower likelihood of tumor recurrence (p = 0.047). However, AC was not significantly associated with a higher overall survival (OS) (p = 0.908) and cancer-specific survival (CSS) (p = 0.979). Upon multivariate Cox regression analysis, AC was associated with a lower risk of tumor recurrence (HR = 0.297, p = 0.028). CONCLUSION: The present study confirms that adjuvant gemcitabine containing chemotherapy could decrease the risk of tumor recurrence in patients with locally advanced UTUC following nephroureterectomy. However, more studies are need to draw a clearer image of the value of this treatment method.STORZ to the Clinical Research Office of the Endourology Society (CROES

    The Aqueous Extract of Rhizome of Gastrodia elata

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    This study aims to investigate the neuroprotective effect of the rhizome of Gastrodia elata (GE) aqueous extract on beta-amyloid(Aβ)-induced toxicity in vivo and in vitro. Transgenic Drosophila mutants with Aβ-induced neurodegeneration in pan-neuron and ommatidia were used to determine the efficacy of GE. The antiapoptotic and antioxidative mechanisms of GE were also studied in Aβ-treated pheochromocytoma (PC12) cells. In vivo studies demonstrated that GE (5 mg/g Drosophila media)-treated Drosophila possessed a longer lifespan, better locomotor function, and less-degenerated ommatidia when compared with the Aβ-expressing control (all P<0.05). In vitro studies illustrated that GE increased the cell viability of Aβ-treated PC12 cells in dose-dependent manner, probably through attenuation of Aβ-induced oxidative and apoptotic stress. GE also significantly upregulated the enzymatic activities of catalase, superoxide dismutase, and glutathione peroxidase, leading to the decrease of reactive oxidation species production and apoptotic marker caspase-3 activity. In conclusion, our current data presented the first evidence that the aqueous extract of GE was capable of reducing the Aβ-induced neurodegeneration in Drosophila, possibly through inhibition of apoptosis and reduction of oxidative stress. GE aqueous extract could be developed as a promising herbal agent for neuroprotection and novel adjuvant therapies for Alzheimer’s disease

    Concomitant bladder tumor is a risk factor for bladder recurrence but not upper tract

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    Objective: To evaluate the clinical outcomes of UTUC patients with or without concurrent bladder tumor. Design, Setting, and Participants: The Clinical Research Office of the Endourology Society-Urothelial Carcinomas of the Upper Tract (CROES-UTUC) Registry included 1134 UTUC patients with or without concurrent bladder tumor treated between 2014 and 2019. Results: In 218 (19.2%) cases, concurrent bladder tumor was present, while in 916 (80.8%) patients, no bladder cancer was found. In the multivariable Cox regression analysis, concomitant bladder tumor (hazard ratio (HR) 1.562, 95% confidence interval (CI) 0.954-2.560, p = 0.076) indicated a trend associated with recurrence-free survival for UTUC. Further data dissection confirmed that concomitant bladder tumor is a risk factor of bladder recurrence (HR 1.874, 95% CI 1.104-3.183, p = 0.020) but not UTUC recurrence (HR 0.876, 95% CI 0.292-2.625, p = 0.812). Kidney-sparing surgery (KSS) (HR 3.940, 95% CI 1.352-11.486, p = 0.012), pathological T staging >= pT2 (HR 2.840, 95% 1.039-7.763, p = 0.042) were significantly associated with UTUC recurrence. KSS does not affect bladder recurrence (HR 0.619, 95% CI 0.242-1.580, p = 0.315). A limitation is the retrospective nature of the present study analysis. Conclusions: The presence of concomitant bladder tumor does not increase risk of UTUC recurrence, but it results in an increased risk of bladder recurrence. KSS does not affect bladder recurrence and can still be considered in patients with concomitant bladder tumor

    Impact of previous malignancy at diagnosis on oncological outcomes of upper tract urothelial carcinoma

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    BACKGROUND: The evidence of prognostic factors and individualized surveillance strategies for upper tract urothelial carcinoma are still weak. OBJECTIVES: To evaluate whether the history of previous malignancy (HPM) affects the oncological outcomes of upper tract urothelial carcinoma (UTUC). METHODS: The CROES-UTUC registry is an international, observational, multicenter cohort study on patients diagnosed with UTUC. Patient and disease characteristics from 2380 patients with UTUC were collected. The primary outcome of this study was recurrence-free survival. Kaplan-Meier and multivariate Cox regression analyses were performed by stratifying patients according to their HPM. RESULTS: A total of 996 patients were included in this study. With a median recurrence-free survival time of 7.2 months and a median follow-up time of 9.2 months, 19.5% of patients had disease recurrence. The recurrence-free survival rate in the HPM group was 75.7%, which was significantly lower than non-HPM group (82.7%, P = 0.012). Kaplan-Meier analyses also showed that HPM could increase the risk of upper tract recurrence (P = 0.048). Furthermore, patients with a history of non-urothelial cancers had a higher risk of intravesical recurrence (P = 0.003), and patients with a history of urothelial cancers had a higher risk of upper tract recurrence (P = 0.015). Upon multivariate Cox regression analysis, the history of non-urothelial cancer was a risk factor for intravesical recurrence (P = 0.004), and the history of urothelial cancer was a risk factor for upper tract recurrence (P = 0.006). CONCLUSION: Both previous non-urothelial and urothelial malignancy could increase the risk of tumor recurrence. But different cancer types may increase different sites' risk of tumor recurrence for patients with UTUC. According to present study, more personalized follow-up plans and active treatment strategies should be considered for UTUC patients
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