bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trends in breast cancer mortality by stage at diagnosis among young women in the United States
Authors: Guo Fangjian , Kuo Yong‐fang , Shih Ya Chen Tina , Giordano Sharon H. , Berenson Abbey B. 
Published: September 2018

BACKGROUNDAssessing trends in breast cancer survival among young women who are largely unaffected by breast cancer screening will provide important information regarding improvements in the effectiveness of cancer care for breast cancer in the last few decades.METHODSThe cohort for this study consisted of women who were diagnosed with breast cancer between ages 20 and 39 years from the Surveillance, Epidemiology, and End Results program's 9‐registry areas from 1975 to 2015. Trends in the breast cancer incidence rate and survival were assessed among young women.RESULTSAmong women aged 20 to 39 years, breast cancer incidence increased from 24.6 per 100,000 in 1975 to 31.7 per 100,000 in 2015 (annual percent change, 0.5; 95% confidence interval [CI], 0.4‐0.6). Among women with breast cancer, 5‐year breast‐cancer‐specific survival increased significantly from 74.0% during 1975 to 1979 to 88.5% during 2010 to 2015 (hazard ratio for dying from breast cancer for 2010‐2015 vs 1975‐1979, 0.37; 95% CI, 0.32‐0.41). The increase in cancer‐specific survival reached a plateau in 2005; however, among young women with metastatic breast cancer, it continued to increase after 2005, from 45.6% during 2005 to 2009 to 56.5% during 2010 to 2015 (hazard ratio for dying from breast cancer for 2010‐2015 vs 2005‐2009, 0.74; 95% CI, 0.60‐0.92). Similar patterns also were observed for 5‐year overall survival and among women aged 20 to 29 years and those aged 30 to 39 years.CONCLUSIONSThere were substantial improvements in the effectiveness of breast cancer treatment on overall and cancer‐specific survival from 1975 to 2015. However, improvements appeared to have reached a plateau after 2005, except among young women with metastatic breast cancer, in whom survival continued to improve throughout the period.
Users' location analysis based on Chinese mobile social media
Authors: Wang Zhibo , Guo Yuechuan , Zheng Senzhe , Xu Wei , Liu Lin , Liu Zixin , Cui Xiaohui 
Published: September 2018

SummaryAfter the rapid development for more than 20 years, Internet has gradually become the main carrier of people's information and behaviors in people's daily life. In addition, the innovation and popularization of smartphone GPS makes user location information much more available and accurate, helping it to create remarkable values by which people are attracted to focus on social media–related data mining and applications. However, because of the sparsity of social media geographical information, direct inferences of locations have plenty of difficulties. Under the background of big data, this research has revised the UGC‐LI model in the preprocess of texts and the creation of the local dictionaries in which we take existed local dictionaries from the Internet into consideration, with the purpose of the inferences for users' and texts' locations. At the time of writing, through the crawler, we acquire users' personal information, the blog content, and customer relationships' (follows, fans) information more than 410 331 pieces from Sina Weibo. The experimental results show that the recall rate of the user location inference is 86.0%, whereas the precise rate is 77.4%, and the accuracy of text posted location inference is 66.8%. Compared with some other related algorithms, this revised model has comparatively better results in location inference for users and text publication.
Efficient checkpointing mechanisms for primary‐backup replication on the cloud
Authors: Güler Berkin , Özkasap Öznur 
Published: September 2018

SummarySeveral distributed services ranging from key‐value stores to cloud storage require fault‐tolerance and reliability features. For enabling fast recovery and seamless transition, primary‐backup replication protocols are widely used in different application settings including distributed databases, web services, and the Internet of Things. In this study, we elaborate the ways of enhancing the efficiency of the primary‐backup replication protocol by introducing various checkpointing techniques. We develop a geographically replicated key‐value store based on the RocksDB and use the PlanetLab testbed network for large‐scale performance analysis. Using various metrics of interest including blocking time, checkpointing time, checkpoint size, failover time, and throughput and testing with practical workloads via the YCSB tool, our findings indicate that periodic‐incremental checkpointing promises up to 5 times decrease in blocking time and a drastic improvement on the overall throughput compared to the traditional primary‐backup replication. Furthermore, enabling Snappy compression algorithm on the periodic‐incremental checkpointing leads to further reduction in blocking time and increases system throughput compared to the traditional primary‐backup replication.
A service trust evaluation model using clustering fuzzy inference for guiding network service selection
Authors: Li Zhaozheng , Lei Weimin 
Published: September 2018

SummaryThe evolution of distributed and virtualized network services makes service selection difficult, as service providers and their links are becoming open and random. The trust degree of service providers is considered as an effective guidance, but it is unmethodical to establish and maintain a clear and stable trust relationship between them. Traditional solutions of service trust evaluation are not comprehensive and accurate enough, because they generally do not take randomness and fuzziness into account. In this context, a model of service trust evaluation based on clustering fuzzy inference for guiding network service selection is proposed in this paper. Four clustering evaluation indexes are determined, and an evaluation mechanism is established based on the fuzzy membership function. The valuation process is time‐aware, and the fuzzy knowledge base can be iteratively updated to keep the trust degree fresh. Simulation experiments illustrate the feasibility of the proposed model and indicate the superiority of greater performance compared with other similar solutions.
Formal verification approaches in the web service composition: A comprehensive analysis of the current challenges for future research
Authors: Souri Alireza , Rahmani Amir Masoud , Jafari Navimipour Nima 
Published: September 2018

SummaryToday, service composition is emerging paradigm on the communication networks such as cloud environments, internet of things, wireless sensor network, and software‐defined network. The goal of service composition method is to provide the interactions between user requirements and smart objects of intelligent communication systems. There have been many efforts to use formal verification and behavioral modeling methods to evaluate the service composition mechanisms. Up to now, there is not a comprehensive analysis research on this topic. Therefore, this paper focuses on several formal verification approaches that are performed to confirm the service composition correctness in communication networks. The objective of this paper is to comprehensively categorize and examine current research techniques on formal verification of the service composition. This research analysis provides an overview of recent service composition approaches according to structural and functional properties. Comparison results show that most of the verification approaches in explanation of the service composition correctness are semantic‐aware approach with 43%. The most used verification method for the service composition is model checking with 69%. The process algebra is used 29%, and some theorem proving methods are applied in 9% of the investigated mechanism. Moreover, most widely used modeling tools are NuSMV (22%), SPIN (17%), CPN (12%), UPPAAL (12%), Event‐B (10%), and PAT (5%).
Cyclodextrin complexes: Perspective from drug delivery and formulation
Authors: Jacob Shery , Nair Anroop B. 
Published: September 2018

AbstractCyclodextrins (CDs) have been widely investigated as a unique pharmaceutical excipient for past few decades and is still explored for new applications. They are highly versatile oligosaccharides which possess multifunctional characteristics, and are mainly used to improve the physicochemical stability, solubility, dissolution rate, and bioavailability of drugs. Stability constant, factors affecting complexation, techniques to enhance complexation efficiency, the preparation methods for molecular inclusion complexes and release of guest molecules are discussed in brief. In addition, different CD derivatives and their pharmacokinetics are elaborated. Further, the significance of CD complex in aqueous solubility, dissolution and bioavailability, stability, and taste masking is explained. The recent advancement of CDs in developing various drug delivery systems is enlightened. Indeed, the potential of CDs by means of inclusion complex formation have widen the applicability of these materials in various drug delivery systems including ocular, osmotic, mucoadhesive, transdermal, nasal, and targeted delivery systems. Feasibility studies have been performed on the benefit of these cyclic oligomers as nanocarriers, a strategy that can modify the drugs with improved physicochemical properties. Studies also demonstrated the feasibility of CDs to self‐assemble in the form of stable nanoaggregates, which may extend the scope of CDs in drug delivery to the continually expanding list of new drug entities.
Rigor, reproducibility, and novel methodological approaches to eating disorders research
Authors: Hildebrandt Tom , Crosby Ross D. 
Published: September 2018

AbstractThe explosion of new methods in science has put additional pressure on authors, readers, and peer reviewers to evaluate the rigor and reproducibility of these new approaches. This issue brings together a collection of articles aimed to stimulate our thinking about how to evaluate the quality of these new methodologies, in the form of several expert reviews on domains ranging from large scale genetics to clinical interventions. These expert reviews are followed by a collection of papers intended to illustrate new or underrepresented methods in our field and include novel approaches to clinical trials to the quantification of text data collected from public repositories online. The issue concludes with a number of original data papers applying network analysis to study comorbidity and symptom status in eating disorder and related populations and a couple of novel neuroimaging papers demonstrating the use of new and promising methods for studying heterogeneity and the use of psychophysiology to answer questions about emotion in eating disorder populations.
Improved numerical analysis for ultimate behavior of elastomeric seismic isolation bearings
Authors: Ishii Ken , Kikuchi Masaru 
Published: September 2018

SummaryElastomeric isolation bearings consist of multiple rubber layers with their top and bottom surfaces bonded to steel plates to restrict compressive deformation. Deformation constraints result in a variation of elastic modulus over the cross section of the rubber layers. In this paper, we describe a normalized compression modulus distribution on a circular rubber pad. The compressive and bending moduli of the rubber pad can be reproduced by applying the distribution to a series of axial springs. We also present a mechanical model for predicting the behavior of elastomeric seismic isolation bearings subject to large shear deformation and high compressive load. The mechanical model consists of a series of multiple shear springs at midheight and a series of axial springs at the top and bottom interfaces of the bearing. Simulation analyses of bearing tests were conducted to validate the proposed model. The analyses demonstrated that a model for circular lead‐rubber bearings can successfully capture the influence of the axial load magnitude on the bearing shear behavior. The new model can simulate much more realistic behavior than prior models based on a uniform modulus assumption.
Management of adverse events associated with idelalisib treatment in chronic lymphocytic leukemia and follicular lymphoma: A multidisciplinary position paper
Authors: Cuneo Antonio , Barosi Giovanni , Danesi Romano , Fagiuoli Stefano , Ghia Paolo , Marzano Alfredo , Montillo Marco , Poletti Venerino , Viale Pierluigi , Zinzani Pier Luigi 
Published: September 2018

AbstractThe introduction of new therapeutic agents in chronic lymphocytic leukemia (CLL) and follicular lymphoma (FL), including the new kinase inhibitor idelalisib, has changed the therapeutic landscape of these diseases. However, the use of idelalisib is associated with a peculiar profile of side effects, which require an optimization of the current approach to prophylaxis and supportive treatment. Moving from the recognition that the abovementioned issue represents an unmet need in CLL and FL, a multidisciplinary panel of experts was convened to produce a consensus document aiming to provide practical recommendations for the management of the side effects during idelalisib therapy for CLL and FL. The present publication represents a consensus document from a series of meetings held during 2017. The Panel generated clinical key questions using the criterion of clinical relevance through a Delphi process and explored 4 domains, ie, diarrhea/colitis, transaminitis, pneumonitis, and infectious complications. Using the consensus method, the Panel was able to shape recommendations which may assist hematologist to minimize adverse events and guarantee adherence to treatment in patients with CLL and FL candidate to receive idelalisib.
Mongolian Health Sector Strategic Master Plan (2006‐2015): A foundation for achieving universal health coverage
Authors: Erdenee Oyunchimeg , Narula Indermohan S. , Yamazaki Chiho , Kameo Satomi , Koyama Hiroshi 
Published: September 2018

SummaryNearly half of the countries in the world are in the process of reforming and strengthening their health care systems. More recently, even low‐income and middle‐income countries such as Mongolia have focused increasing attention on achieving universal health coverage (UHC). At this critical point, it is necessary to track recent progress and adjust health care strategies and planning. Therefore, this study analyzed changes in the health sector toward achieving UHC based on relevant literature, government documents, and framework analysis. We also investigated how basic principles of UHC were incorporated and reflected in Mongolia's Health Sector Strategic Master Plan. This study clarified the achievements of and challenges facing the health sector that remain or emerged during the plan's implementation over the last decade. Furthermore, all of the reviewed Master Plan strategies were underpinned by basic principles of UHC. However, strategies set out in the next Master Plan will require adjustments and innovative measures to respond to current challenges. This study may be used as a reference for other developing countries to track UHC achievements and serve as a guide to establishing a nation‐wide strategic plan.
Dual Stimuli‐Responsive Cross‐Linked AIE Supramolecular Polymer Constructed through Hierarchical Self‐Assembly
Authors: Zhang Chang‐Wei , Jiang Shu‐Ting , Yin Guang‐Qiang , Li Xiaopeng , Zhao Xiao‐Li , Yang Hai‐Bo 
Published: September 2018

AbstractHerein, we report the successful construction of a new family of dual stimuli‐responsive AIE cross‐linked supramolecular polymer through the strategy of hierarchical self‐assembly. A novel dipyridyl donor building block G1 containing tetraphenylethylene (TPE) moiety was designed and synthesized. Notably, two nitrile units were attached onto G1, which were employed as the guest for the further host‐guest interaction with pillar[n]arene derivatives. The rhomboidal metallacycle G2 with four nitrile units was firstly constructed through coordination‐driven self‐assembly. Subsequently, the cross‐linked supramolecular polymers H2⊃G2 were then generated through host‐guest interactions. It should be noted that the obtained supramolecular polymer displayed interesting AIE properties due to the restriction of TPE intramolecular motions within the polymeric network. More importantly, by taking advantages of dynamic nature of both coordination bonds and host‐guest interactions, the resultant supramolecular polymer displayed dual stimuli‐responsive fluorescent transitions under different stimuli such as the competitive guest and halide anion.
Osteoprotegerin inhibit osteoclast differentiation and bone resorption by enhancing autophagy via AMPK/mTOR/p70S6K signaling pathway in vitro
Authors: Tong Xishuai , Gu Jianhong , Song Ruilong , Wang Dong , Sun Ziqiang , Sui Chen , Zhang Chuang , Liu Xuezhong , Bian Jianchun , Liu Zongping 
Published: September 2018

AbstractOsteoclasts are highly differentiated terminal cells formed by fusion of hematopoietic stem cells. Previously, osteoprotegerin (OPG) inhibit osteoclast differentiation and bone resorption by blocking receptor activator of nuclear factor‐κB ligand (RANKL) binding to RANK indirect mechanism. Furthermore, autophagy plays an important role during osteoclast differentiation and function. However, whether autophagy is involved in OPG‐inhibited osteoclast formation and bone resorption is not known. To elucidate the role of autophagy in OPG‐inhibited osteoclast differentiation and bone resorption, we used primary osteoclast derived from mice bone marrow monocytes/macrophages (BMM) by induced M‐CSF and RANKL. The results showed that autophagy‐related proteins expression were upregulated; tartrate‐resistant acid phosphatase‐positive osteoclast number and bone resorption activity were decreased; LC3 puncta and autophagosomes number were increased and activated AMPK/mTOR/p70S6K signaling pathway. In addition, chloroquine (as the autophagy/lysosome inhibitor, CQ) or rapamycin (as the autophagy/lysosome inhibitor, Rap) attenuated osteoclast differentiation and bone resorption activity by OPG treatment via AMPK/mTOR/p70S6K signaling pathway. Our data demonstrated that autophagy plays a critical role in OPG inhibiting osteoclast differentiation and bone resorption via AMPK/mTOR/p70S6K signaling pathway in vitro.
MicroRNA‐125a suppresses cell migration, invasion, and regulates hyaluronic acid synthase 1 expression by targeting signal transducers and activators of transcription 3 in renal cell carcinoma cells
Authors: Sun Maokun , Guo Shuai , Yao Jie , Xiao Yilei , Sun Ruili , Ma Wenyi , Dong Zhaogang 
Published: September 2018

AbstractRenal cell carcinoma (RCC) is one of the most common cancers in urology. MicroRNA‐125a (miR‐125a) has been demonstrated to be implicated in various cancers. However, the functional role of miR‐125a in RCC remains largely unclear. This study was aimed to investigate the functional role of miR‐125a and the expression relevance of signal transducers and activators of transcription 3 (STAT3) with hyaluronic acid synthase 1 (HAS1) in RCC. We revealed that miR‐125a was downexpressed in 786‐O cells, and examined transfected efficiency. According to functional assay, overexpression of miR‐125a inhibited cell migration and cell invasion, but no obvious effect was observed on cell proliferation. The luciferase activity assay showed that miR‐125a could directly target STAT3 3′‐untranslated regions. Meanwhile, quantitative polymerase chain reaction (qPCR) assay and Western blot analysis demonstrated that miR‐125a could inhibit STAT3 expression at both messenger RNA and protein levels. Furthermore, the combination sites between STAT3 and HAS1 were predicted by prediction of transcription factor binding sites database analysis. The expression of STAT3 was correlated with HAS1 expression, exemplified by the same tendency detected by qPCR assay. Taken together, our results preliminarily demonstrate that miR‐125a could constrain cell migration, invasion, and regulate HAS1 expression in RCC cells by targeting STAT3. It is likely to facilitate a better understanding of the regulation mechanisms of miR‐125a in RCC.
LncRNA NBR2 inhibits epithelial‐mesenchymal transition by regulating Notch1 signaling in osteosarcoma cells
Authors: Cai Weiliang , Wu Bowen , Li Zhizhong , He Peiheng , Wang Biao , Cai Anlie , Zhang Xiping 
Published: September 2018

AbstractLong noncoding RNAs (lncRNAs) have been identified to have increasingly important roles in tumorigenesis, and they may serve as novel biomarkers for cancer therapy. Recent studies have demonstrated that lncRNA NBR2 (neighbor of BRCA1 gene 2), a novel identified lncRNA, is decreased in several cancers; however, the role of NBR2 in the development of osteosarcoma has not been elucidated. In our study, we found that NBR2 expression was downregulated in osteosarcoma tissues, and osteosarcoma cases with lower NBR2 expression exhibited a shorter overall survival time compared with those with higher NBR2 expression. NBR2 overexpression inhibited osteosarcoma cell proliferation, invasion, and migration but did not increase apoptosis. Furthermore, RNA‐binding protein immunoprecipitation assays confirmed that NBR2 directly binds to Notch1 protein. Furthermore, overexpression of Notch1 in NBR2‐overexpressing osteosarcoma cells reversed the effects of NBR2 on cell proliferation, invasion, migration, and epithelial‐mesenchymal transition. The in vivo results showed that NBR2 overexpression inhibited tumor growth in nude mice that were inoculated with osteosarcoma cells. NBR2 overexpression also suppressed the messenger RNA (mRNA) expression of Notch1, N‐cadherin, and vimentin and increased the mRNA expression of E‐cadherin in the tumor tissues. These data indicated that NBR2 served as a tumor suppressor gene in osteosarcoma and inhibited osteosarcoma cell proliferation, invasion, and migration. The current study provides a novel insight and treatment strategy for osteosarcoma.
Mitochondrial dynamic alterations regulate melanoma cell progression
Authors: Dal Yontem Fulya , Kim Sun‐Hee , Ding Zhen , Grimm Elizabeth , Ekmekcioglu Suhendan , Akcakaya Handan 
Published: September 2018

AbstractResearch on mitochondrial fusion and fission (mitochondrial dynamics) has gained much attention in recent years, as it is important for understanding many biological processes, including the maintenance of mitochondrial functions, apoptosis, and cancer. The rate of mitochondrial biosynthesis and degradation can affect various aspects of tumor progression. However, the role of mitochondrial dynamics in melanoma progression remains controversial and requires a mechanistic understanding to target the altered metabolism of cancer cells. Therefore, in our study, we disrupted mitochondrial fission with mdivi‐1, the reported inhibitor of dynamin related protein 1 (Drp1), and knocked down Drp1 and Mfn2 to evaluate the effects of mitochondrial dynamic alterations on melanoma cell progression. Our confocal study results showed that mitochondrial fission was inhibited both in mdivi‐1 and in Drp1 knockdown cells and, in parallel, mitochondrial fusion was induced. We also found that mitochondrial fission inhibition by mdivi‐1 induced cell death in melanoma cells. However, silencing Drp1 and Mfn2 did not affect cell viability, but enhanced melanoma cell migration. We further show that dysregulated mitochondrial fusion by Mfn2 knockdowns suppressed the oxygen consumption rate of melanoma cells. Together, our findings suggest that mitochondrial dynamic alterations regulate melanoma cell migration and progression.