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  • 1
    In: British Journal of Anaesthesia, Elsevier BV, Vol. 120, No. 1 ( 2018-01), p. 146-155
    Type of Medium: Online Resource
    ISSN: 0007-0912
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
    detail.hit.zdb_id: 2011968-9
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  • 2
    In: Foods, MDPI AG, Vol. 13, No. 11 ( 2024-05-23), p. 1628-
    Abstract: As a prominent topic in food computing, cross-modal recipe retrieval has garnered substantial attention. However, the semantic alignment across food images and recipes cannot be further enhanced due to the lack of intra-modal alignment in existing solutions. Additionally, a critical issue named food image ambiguity is overlooked, which disrupts the convergence of models. To these ends, we propose a novel Multi-Modal Alignment Method for Cross-Modal Recipe Retrieval (MMACMR). To consider inter-modal and intra-modal alignment together, this method measures the ambiguous food image similarity under the guidance of their corresponding recipes. Additionally, we enhance recipe semantic representation learning by involving a cross-attention module between ingredients and instructions, which is effective in supporting food image similarity measurement. We conduct experiments on the challenging public dataset Recipe1M; as a result, our method outperforms several state-of-the-art methods in commonly used evaluation criteria.
    Type of Medium: Online Resource
    ISSN: 2304-8158
    Language: English
    Publisher: MDPI AG
    Publication Date: 2024
    detail.hit.zdb_id: 2704223-6
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  • 3
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 15_suppl ( 2019-05-20), p. 3510-3510
    Abstract: 3510 Background: Our phase I/II study identified irinotecan dose differentiated by UGT1A1 genotype in the neoadjuvant CRT and showed improved pCR. The objective of this phase III study was to further investigate irinotecan combined with capecitabine-based chemoradiotherapy as preoperative treatment for locally advanced rectal cancer. Methods: We underwent a prospective, randomized, open-label, multicenter, phase 3 trial in China from Nov.2015 to Dec.2017. Eligible patients with clinical stage T3-4 and/or N+ rectal adenocarcinoma were randomly allocated to two arms. The approach in control arm (Arm A, n = 180) was pelvic radiation of 50 Gy/25 fractions with concurrent capecitabine 825 mg/m 2 twice daily 5 days per week, followed by a cycle of XELOX two weeks after the end of CRT. The experimental arm (Arm B, n = 180) was pelvic radiation with capecitabine 625 mg/m 2 twice daily 5 days per week and combined with weekly irinotecan. The irinotecan dose was used based on UGT1A1 genotype of 80mg/m 2 for UGT1A1*1*1 or 65mg/m 2 for UGT1A1*1*28 weekly, followed by a cycle of XELIRI. The primary endpoint is pathological complete response (pCR). This trial was registered with ClinicalTrials.gov, number NCT02605265. Results: Surgery was performed in 86.5% and 88.2% of patients in two groups, with 38.9% and 30.5% of patients got abdominoperineal resection respectively. The pCR rate was 17.5% in Arm A and 33.8% in Arm B (P = 0.001). Four and 6 patients maintained a complete clinical response status at least 12 months and were marked as cCR. The CR rate, including pCR and cCR, was 17.4% in Arm A and 33.1% in Arm B (P = 0.001). The most common grade 3-4 adverse events during preoperative treatment were leucopenia (3.4% vs. 25.3%), neutropenia (1.7% vs. 19.7%) and diarrhea (1.7% vs. 13.5%) in two arms. The overall rate of surgical complications were not significantly different between arms (11.0% vs. 14.6%). Conclusions: Adding irinotecan guided by UGT1A1 to capecitabine-based neoadjuvant chemoradiotherapy significantly increases complete tumor response. The treatment toxicities were increased but tolerable. This treatment can be as an option for ‘watch and wait’ approach. Clinical trial information: NCT02605265.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
    detail.hit.zdb_id: 2005181-5
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  • 4
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2023
    In:  Aging Clinical and Experimental Research Vol. 35, No. 3 ( 2023-01-04), p. 639-647
    In: Aging Clinical and Experimental Research, Springer Science and Business Media LLC, Vol. 35, No. 3 ( 2023-01-04), p. 639-647
    Abstract: Elderly patients are susceptible to postoperative infections with increased mortality. Analyzing with a deep learning model, the perioperative factors that could predict and/or contribute to postoperative infections may improve the outcome in elderly. This was an observational cohort study with 2014 elderly patients who had elective surgery from 28 hospitals in China from April to June 2014. We aimed to develop and validate deep learning-based predictive models for postoperative infections in the elderly. 1510 patients were randomly assigned to be training dataset for establishing deep learning-based models, and 504 patients were used to validate the effectiveness of these models. The conventional model predicted postoperative infections was 0.728 (95% CI 0.688–0.768) with the sensitivity of 66.2% (95% CI 58.2–73.6) and specificity of 66.8% (95% CI 64.6–68.9). The deep learning model including risk factors relevant to baseline clinical characteristics predicted postoperative infections was 0.641 (95% CI 0.545–0.737), and sensitivity and specificity were 34.2% (95% CI 19.6–51.4) and 88.8% (95% CI 85.6–91.6), respectively. Including risk factors relevant to baseline variables and surgery, the deep learning model predicted postoperative infections was 0.763 (95% CI 0.681–0.844) with the sensitivity of 63.2% (95% CI 46–78.2) and specificity of 80.5% (95% CI 76.6–84). Our feasibility study indicated that a deep learning model including risk factors for the prediction of postoperative infections can be achieved in elderly. Further study is needed to assess whether this model can be used to guide clinical practice to improve surgical outcomes in elderly.
    Type of Medium: Online Resource
    ISSN: 1720-8319
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2119282-0
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  • 5
    In: Connect: The World of Critical Care Nursing, Springer Publishing Company, Vol. 12, No. 4 ( 2018-12-01), p. 92-138
    Type of Medium: Online Resource
    ISSN: 1748-6254
    Language: English
    Publisher: Springer Publishing Company
    Publication Date: 2018
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  • 6
    Online Resource
    Online Resource
    MDPI AG ; 2022
    In:  Future Internet Vol. 14, No. 2 ( 2022-01-27), p. 43-
    In: Future Internet, MDPI AG, Vol. 14, No. 2 ( 2022-01-27), p. 43-
    Abstract: Cross-modal retrieval aims to search samples of one modality via queries of other modalities, which is a hot issue in the community of multimedia. However, two main challenges, i.e., heterogeneity gap and semantic interaction across different modalities, have not been solved efficaciously. Reducing the heterogeneous gap can improve the cross-modal similarity measurement. Meanwhile, modeling cross-modal semantic interaction can capture the semantic correlations more accurately. To this end, this paper presents a novel end-to-end framework, called Dual Attention Generative Adversarial Network (DA-GAN). This technique is an adversarial semantic representation model with a dual attention mechanism, i.e., intra-modal attention and inter-modal attention. Intra-modal attention is used to focus on the important semantic feature within a modality, while inter-modal attention is to explore the semantic interaction between different modalities and then represent the high-level semantic correlation more precisely. A dual adversarial learning strategy is designed to generate modality-invariant representations, which can reduce the cross-modal heterogeneity efficiently. The experiments on three commonly used benchmarks show the better performance of DA-GAN than these competitors.
    Type of Medium: Online Resource
    ISSN: 1999-5903
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2518385-0
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  • 7
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 39, No. 15_suppl ( 2021-05-20), p. 3510-3510
    Abstract: 3510 Background: It’s presented the results of a phase III trial of short-term radiotherapy (SCRT) combined with chemotherapy versus long-term chemoradiotherapy (LCRT) in patients with locally advanced rectal cancer (LARC). Methods: Patients with distal or middle third, T3-T4 and/or N+ rectal adenocarcinomas diagnosed by MRI, were randomly assigned to experimental group or control group. In experimental group, patients received SCRT (25 Gy / 5 fractions / 5 days), followed by four courses of CAPOX. In control group, patients received LCRT (50 Gy / 25 fractions / 35 days with concurrent capecitabine). Surgery was recommended in both groups and performed 6-8 weeks after preoperative treatment. Two or six courses of CAPOX was prescribed as the postoperative chemotherapy in experimental group and control group, respectively. This trial was a multicenter, open-label, randomized, noninferior, phase III study, and all the patients were from 16 hospitals of China. The primary endpoint for this study was 3-year disease-free survival (DFS). Results: From Aug 30, 2015 to Aug 27, 2018, 599 patients were enrolled and entered random. Finally, 591 intention-to-treat (ITT) populations were included in the analysis, 298 patients assigned to SCRT followed by chemotherapy and 293 to CRT. For the experimental group and control group, cT3 and cT4 accounted for 82.3% vs. 84.6% and 15.4% vs. 12.3%, respectively, and approximately 85% were mrN positive (85.6% vs. 84.0%). As a whole, the completion and full-dose completion rates of preoperative treatment were 82.6% vs. 95.2% (p<0.001) and 74.8% vs 93.2% (p<0.001) in the experimental and control groups, respectively. Among the 465 patients who received surgery, 16.6% and 11.8% of them achieved pCR (p=0.134), respectively. Accounting for cCR after preoperative treatment, the total rate of pCR+cCR in experimental group was 22.5% and significantly higher than control group (12.6%, p=0.001). With median follow-up 35.0 months, the HR between experimental and control of DFS was 0.883, with 1-sided noninferiority p-value 〈 0.001, so the noninferiority hypothesis was confirmed. The probability of DFS and OS at 3 years was 64.5% and 86.5% in the experimental group compared with 62.3% and 75.1% in control group. It’s observed the OS rate of the experimental group was significantly higher than that of the control group (p=0.036) and no significant difference in metastasis-free survival or loco-regional recurrence was observed. Conclusions: For LARC with high risk factors, SCRT combined with sequential chemotherapy was noninferior to CRT and could be used as an alternative to LCRT. Meanwhile, SCRT combined with chemotherapy presented a higher cCR+pCR and 3-year overall survival rates as compared with CRT. However, the long term results need to be further followed up. (ClinicalTrails No.: NCT02533271 ). Clinical trial information: NCT00833131.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2021
    detail.hit.zdb_id: 2005181-5
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  • 8
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 39, No. 15_suppl ( 2021-05-20), p. 3603-3603
    Abstract: 3603 Background: Adding UGT1A1-guided irinotecan to capecitabine-based neoadjuvant chemoradiotherapy (CRT) significantly increased the pathological complete response (pCR) rate nearly doubling [J Clin Oncol. 2020 Dec 20;38(36):4231-4239]. Here, results of long-term outcome are reported. Methods: Eligible patients with clinical stage II/III rectal adenocarcinoma, UGT1A1 genotype *1*1 or *1*28 were randomized to the control group: pelvic radiation of 50 Gy/25 fractions with concurrent capecitabine, followed by a cycle of oxaliplatin and capecitabine; or the experimental group: radiation with capecitabine combined with weekly irinotecan 80 mg/m2 for patients with *1*1 or 65 mg/m2 for patients with *1*28, followed by a cycle of irinotecan and capecitabine. Surgery was scheduled for 8 weeks after completion of CRT. Five cycles of adjuvant XELOX chemotherapy were administered regardless of the pathologic result. Patients were stratified by UGT1A1 genotype (*1*1 vs. *1*28) clinical T stage (cT3 vs. cT4) and tumor distance from the anal verge (≤5 cm vs. 〉 5 cm). The primary end point of pCR was reached. Survival time was calculated from the date of randomization to the date of event or the last follow-up. Secondary endpoints were defined as local failure for local control (LC), tumor recurrence or death from any cause for disease-free survival (DFS), and death from any cause for overall survival (OS). Results: Of the 360 patients initially enrolled, 356 were evaluated as the modified intention-to-treat population (n = 178 in both groups). A total of 311 patients underwent surgery and pCR was achieved in 80 patients, another 10 patients undergo a watch-and-wait approach after achieving cCR. With a median follow-up time of 48 months (Q25-Q75, 41-55 months), 57 deaths (33 and 24), 17 local failures (11 and 6) and 69 distant metastases (37 and 32) were observed, respectively. Overall, the 4y LC rate were 93% and 96% in control and experimental groups, with estimated LC HR of 0.53 (95% confidence interval [CI], 0.20-1.43), the 4y DFS rates were 69% and 74% (HR = 0.74, 95% CI 0.49-1.10), and the 4y OS were 80% and 85%, (HR = 0.70, 95% CI 0.42-1.19), respectively. In the subgroup analysis, irinotecan showed a significant improvement in DFS (HR = 0.77, 95% CI 0.61-0.98) and OS (HR = 0.71, 95% CI 0.51-0.98) in UGT1A1 *1*1 patients. Conclusions: The addition of irinotecan to standard capecitabine-based CRT had a tendency towards improving LC, DFS, and OS, but without reaching statistical significance. UGT1A1 *1*1 patients seem to benefit the most from irinotecan. Molecular studies and subsequent therapies should be considered. Clinical trial information: NCT02605265.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2021
    detail.hit.zdb_id: 2005181-5
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  • 9
    In: Agriculture, MDPI AG, Vol. 13, No. 1 ( 2022-12-24), p. 53-
    Abstract: Drought stress-related gene identification is vital in revealing the drought resistance mechanisms underlying rice and for cultivating rice-resistant varieties. Traditional methods, such as Genome-Wide Association Studies (GWAS), usually identify hundreds of candidate stress genes, and further validation by biological experiements is then time-consuming and laborious. However, computational and prioritization methods can effectively reduce the number of candidate stress genes. This study introduces a random walk with restart algorithm (RWR), a state-of-the-art guilt-by-association method, to operate on rice multiplex biological networks. It explores the physical and functional interactions between biological molecules at different levels and prioritizes a set of potential genes. Firstly, we integrated a Protein–Protein Interaction (PPI) network, constructed by multiple protein interaction data, with a gene coexpression network into a multiplex network. Then, we implemented the RWR on multiplex networks (RWR-M) with known drought stress genes as seed nodes to identify potential drought stress-related genes. Finally, we conducted association analysis between the potential genes and the known drought stress genes. Thirteen genes were identified as rice drought stress-related genes, five of which have been reported in the recent literature to be involved in drought stress resistance mechanisms.
    Type of Medium: Online Resource
    ISSN: 2077-0472
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2651678-0
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  • 10
    In: SSRN Electronic Journal, Elsevier BV
    Type of Medium: Online Resource
    ISSN: 1556-5068
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
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