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关键词： 节点构造标准化   地下室防水   防水卷材   阴阳角  

摘要： 建筑的屋顶、地下室是渗漏问题的多发区域。因此在建筑防水处理中,要对屋面、地下室等区域进行重点控制。基于防水节点构造标准化的地下室防水,有助于从源头上解决渗漏问题,是现阶段建筑工程中提高防水施工质量的有效方法。本文以安建·尚河源筑地下室施工为例,重点分析了地下室后浇带、伸缩缝、穿墙管、阴阳角、外墙等部位节点构造标准件的运用,对防水节点构造标准化施工提供了经验借鉴。

关键词： 请求权基础   民法典   主要规范   辅助规范   抗辩规范  

摘要： 《中华人民共和国民法典》的技术追求是"提取公因式",请求权基础方法则借助"展开公因式"的反向操作打开民法规范全景图。为了避免请求权基础的方法功用在误用中被消解,亦为了更好开展民法典法条评注工作,以请求权基础为视角整理民法典的规范类型即有其必要。在诉讼攻防结构中,民法规范可分为请求权基础(即主要规范)、辅助规范与抗辩规范三大基础类型。典型的主要规范为支持原告请求权的实体规范依据,典型的辅助规范为主要规范的说明或补充,典型的抗辩规范则可对抗请求权的产生、存续或行使。但具有请求权基础外观的未必均是主要规范,反之,特殊的请求权基础也可能隐藏在辅助规范或不完全法条的外观之下。广义的辅助规范还包括宣导规范、法律原则与参引规范。特殊的抗辩规范则可能隐藏在主要规范或辅助规范的外观之下。此外,《中华人民共和国民法典》中还有相当体量的条文兼具两项规范功能,从而为"主要/辅助"规范、"主要/抗辩"规范或"辅助/抗辩"规范。

关键词： 复杂场地   山地   景观设计   功能分区   地形改造  

摘要： 本文结合建筑设计实践,尝试从建筑学的角度,通过一定的策略手段,从建筑规划、景观绿化规划和场地交通规划等方向入手,思考阐释在复杂地形如何较好地进行建筑规划设计。同时以笔者作为项目设计负责人参与的潮州卫生健康职业学院项目(本文简称“实践项目”)为例,更好地针对性阐述项目规划设计策略。

关键词： 市政工程   路桥施工   伸缩缝  

摘要： 随着城市化进程不断的加快,我国市政道路工程数量也是更多,经过多年发展下,我国路桥工程建设已经获取一定成果,并且各新技术、新设备应用,为路桥工程施工质量奠定一定基础。伸缩缝是一项应用范围十分广泛的施工技术,为有效的保障伸缩缝的施工质量,我们必须加强研究伸缩缝的施工技术。本文介绍了道路桥梁施工中的伸缩缝施工技术运用情况,希望促进市政道路施工行业可持续发展。

关键词： RITUXIMAB   CHEMOTHERAPY   INVOLVEMENT   THERAPY   CHOP  

摘要： Highlights•PMLBCL rarely extends to extranodal subdiaphragmatic (ES) sites at diagnosis. •Among 455 patients, 32 (7%) had such localization at baseline. •Kidney, liver, and adrenals were most frequently involved. •ES site involvement had not independent prognostic impact beyond that of stage IV.

关键词： Head and neck squamous cell carcinoma   Unknown primary   F-18-FDG PET   CT   Detection rate   LYMPH-NODE METASTASES   TOMOGRAPHY-COMPUTED-TOMOGRAPHY   FDG-PET/CT   CONTEMPORARY MANAGEMENT   DIAGNOSTIC EVALUATION   HUMAN-PAPILLOMAVIRUS   PRIMARY SITE   ORIGIN   IMPACT   CANCER  

摘要： Purpose We performed a systemic review and meta-analysis to evaluate the performance of F-18-FDG-PET/CT as a next step in the search of occult primary tumors for patients with head and neck squamous cell carcinoma of unknown primary (HNSCC-UP). Methods PubMed and Embase databases were searched from the earliest available date of indexing through February 2021. Eligible studies were those using F-18-FDG-PET/CT to detect occult primary tumors for HNSCC-UP, of which the defining diagnostic workup had been limited to endoscopy with or without CT/MRI. The detection rates were meta-analytically pooled using a random-effects model. Subgroup analyses and meta-regression were performed to explore the source of heterogeneity. A pooled analysis evaluating the false-positive proportions was also performed. Results Sixteen studies with 724 patients were included in this meta-analysis. The pooled detection rate was 40% (95% CI 31-49%), with high heterogeneity (I-2 = 85.2%). No sources of heterogeneity were identified by analyzing multiple subgroups stratified by study design, sample size, ethnicity, use of contrast agent, defining diagnostic workup, image analysis, and reference standard (All P > 0.05). The most common sites of both true-positive cases and false-positive cases were tonsil and tongue base. The pooled false-positive proportion was 9% (95% CI 5-13%). Conclusions F-18-FDG PET/CT is useful as a next step in the search of occult primary tumors in HNSCC-UP patients defined by endoscopy with or without CT/MRI. However, in light of the high false-positive proportion, confirmatory histological investigations should be viewed as necessary practice upon positive PET/CT findings.

关键词： TUMOR-TISSUES   IFN-GAMMA   T-CELLS   IL-12   MICROENVIRONMENT   RESPONSIVENESS   SURVIVAL   IMMUNITY   ABILITY   FAMILY  

摘要： Background Peritoneal metastases portend poor prognosis in the setting of standard chemotherapy. Cytoreductive surgery and hyperthermic intraperitoneal chemotherapy (CRS/HIPEC) improves outcomes, but relapse is common. We report a phase II trial evaluating the safety and efficacy of adjuvant alpha DC1 vaccination with chemokine modulation (CKM) after CRS/HIPEC. Methods Patients undergoing CRS/HIPEC for appendiceal cancer, colorectal cancer, or peritoneal mesothelioma were enrolled. In addition to standard adjuvant chemotherapy, patients received intranodal and intradermal injections of autologous tumor-loaded alpha DC1 vaccine. After each vaccine booster, patients received CKM over 4 days, consisting of celecoxib, interferon (IFN)-alpha, and rintatolimod. Results Forty-six patients underwent CRS/HIPEC followed by alpha DC1 treatment, including 24 appendiceal primaries, 20 colorectal, and 2 mesotheliomas. DC maturation was successful, with 97% expressing HLA-DR and CD86. Tumor cell recovery from peritoneal tumors was challenging, resulting in only 17% of patients receiving the target dose of alpha DC1. The alpha DC1 and CKM regimen was well tolerated. CKM successfully modulated serum inflammatory cytokine and chemokine levels. Median progression-free survival (PFS) for appendiceal primaries was 50.4, 34.2, and 8.9 months for grade 1, 2, and 3 tumors, respectively, while median PFS for colorectal cancer was 20.5 and 8.9 months for moderately and poorly differentiated tumors, respectively. Conclusions Adjuvant autologous tumor antigen-loaded alpha DC1 vaccine and CKM is well tolerated. The mucinous nature of peritoneal metastases limits the feasibility of obtaining adequate autologous tumor cells. The improvement in median PFS did not meet our predefined thresholds, leading us to conclude that alpha DC1 vaccination is not appropriate for patients undergoing CRS/HIPEC for peritoneal metastases.

关键词： OVARIAN FAILURE   MEIOTIC ARREST   MUTATIONS   AZOOSPERMIA   SERVER   VISUALIZATION   INSTABILITY   INFERTILITY   GENERATION   SPARTAN  

摘要： Male infertility impacts millions of couples yet, the etiology of primary infertility remains largely unknown. A critical element of successful spermatogenesis is maintenance of genome integrity. Here, we present a genomic study of spermatogenic failure (SPGF). Our initial analysis (n = 176) did not reveal known gene-candidates but identified a potentially significant single-nucleotide variant (SNV) in X-linked germ-cell nuclear antigen (GCNA). Together with a larger follow-up study (n = 2049), 7 likely clinically relevant GCNA variants were identified. GCNA is critical for genome integrity in male meiosis and knockout models exhibit impaired spermatogenesis and infertility. Single-cell RNA-seq and immunohistochemistry confirm human GCNA expression from spermatogonia to elongated spermatids. Five identified SNVs were located in key functional regions, including N-terminal SUMO-interacting motif and C-terminal Spartan-like protease domain. Notably, variant ***115ProfsTer7 results in an early frameshift, while Spartan-like domain missense variants ***659Trp and ***664Cys change conserved residues, likely affecting 3D structure. For variants within GCNA's intrinsically disordered region, we performed computational modeling for consensus motifs. Two SNVs were predicted to impact the structure of these consensus motifs. All identified variants have an extremely low minor allele frequency in the general population and 6 of 7 were not detected in > 5000 biological fathers. Considering evidence from animal models, germ-cell-specific expression, 3D modeling, and computational predictions for SNVs, we propose that identified GCNA variants disrupt structure and function of the respective protein domains, ultimately arresting germ-cell division. To our knowledge, this is the first study implicating GCNA, a key genome integrity factor, in human male infertility.

关键词： Long-term cognitive networks   Recurrent neural networks   Backpropagation   Multi-label classification   NEURAL-NETWORKS   ART  

摘要： This paper presents a neural system to deal with multi-label classification problems that might involve sparse features. The architecture of this model involves three sequential blocks with well-defined functions. The first block consists of a multilayered feed-forward structure that extracts hidden features, thus reducing the problem dimensionality. This block is useful when dealing with sparse problems. The second block consists of a Long-term Cognitive Network-based model that operates on features extracted by the first block. The activation rule of this recurrent neural network is modified to prevent the vanishing of the input signal during the recurrent inference process. The modified activation rule combines the neurons' state in the previous abstract layer (iteration) with the initial state. Moreover, we add a bias component to shift the transfer functions as needed to obtain good approximations. Finally, the third block consists of an output layer that adapts the second block's outputs to the label space. We propose a backpropagation learning algorithm that uses a squared hinge loss function to maximize the margins between labels to train this network. The results show that our model outperforms the state-of-the-art algorithms in most datasets. (C) 2021 The Author(s). Published by Elsevier Ltd.