bluuebunny/crossref_metadata_2025_split huggingface dataset:
DGUOK‐AS1 promotes cell proliferation in cervical cancer via acting as a ceRNA of miR‐653‐5p
Authors: Wu Nanchang , Song Honglin , Ren Yaoyao , Tao Shan , Li Shiting 
Published: April 2020

Cervical cancer (CC) holds the second highest incidence and is the fourth dominating cause of cancer‐induced death in women. It has been widely accepted that long noncoding RNAs (lncRNAs) are implicated in pathological and physiological activities of CC. However, the research of lncRNAs is still in the initial stage. The biological function of lncRNA deoxyguanosine kinase antisense RNA 1 (DGUOK‐AS1) in human cancers has not been reported yet. We found that DGUOK‐AS1 was aberrantly upregulated in cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) tissues through TCGA database. Real‐time quantitative polymerase chain reaction (RT‐qPCR) also verified the high expression of DGUOK‐AS1 in CC cell lines. Loss‐of‐function assays indicated that DGUOK‐AS1 silence repressed CC cell growth. In addition, dual‐luciferase reporter and RNA immunoprecipitation (RIP) experiments validated the binding relation between miR‐653‐5p and DGUOK‐AS1 or EMSY. Results of the rescue assays elucidated that EMSY overexpression or miR‐653‐5p downregulation reversed the suppressive function of DGUOK‐AS1 knockdown on cell growth and DNA repair in CC. To sum up, this research highlighted that DGUOK‐AS1 could promote CC cell proliferation via serving as a ceRNA of miR‐653‐5p to release EMSY, which might inspire us to discover novel strategies for CC treatment.Significance of the studyDGUOK‐AS1 knockdown hinders proliferation of CC cells. DGUOK‐AS1 sequesters miR‐653‐5p to elevate EMSY in CC. EMSY is required for DGUOK‐AS1 to induce cell proliferation and repress DNA damage in CC.
New insights into small‐cell lung cancer development and therapy
Authors: Wang Yuwen , Zou Songyun , Zhao Zhuyun , Liu Po , Ke Changneng , Xu Shi 
Published: April 2020

AbstractSmall‐cell lung cancer (SCLC) accounts for approximately 15% of lung cancer cases; however, it is characterized by easy relapse and low survival rate, leading to one of the most intractable diseases in clinical practice. Despite decades of basic and clinical research, little progress has been made in the management of SCLC. The current standard first‐line regimens of SCLC still remain to be cisplatin or carboplatin combined with etoposide, and the adverse events of chemotherapy are by no means negligible. Besides, the immunotherapy on SCLC is still in an early stage and novel studies are urgently needed. In this review, we describe SCLC development and current therapy, aiming at providing useful advices on basic research and clinical strategy.
LINC00667 promotes the proliferation, migration, and pathological angiogenesis in non–small cell lung cancer through stabilizing VEGFA by EIF4A3
Authors: Yang Huizhen , Yang Wuchen , Dai Wanqing , Ma Yun , Zhang Guojun 
Published: April 2020

AbstractTo better treat patients with non–small cell lung cancer (NSCLC), the investigations on novel molecules affecting NSCLC progression are of vital importance. Long noncoding RNAs (lncRNAs) are identified as pivotal regulators that can affect the cellular activities of carcinomas. Long intergenic non‐protein coding RNA 667 (LINC00667) is a newly found lncRNA, and its expression pattern and potent mechanisms are still obscure in NSCLC. Our study was the first to illustrate that LINC00667 was upregulated in NSCLC and LINC00667 silence refrained the proliferation, migration, and angiogenesis of NSCLC cells in vitro. In addition, vascular endothelial growth factor A (VEGFA) was modulated by LINC00667 at posttranscriptional level. Furthermore, mechanism experiments depicted that LINC00667 recruited eukaryotic translation initiation factor 4A3 (EIF4A3) to stabilize VEGFA messenger RNA. Eventually, rescue assays implied that LINC00667 modulated NSCLC progression via EIF4A3‐stabilized VEGFA. Jointly, these findings hinted that LINC00667 was a tumor promoter in NSCLC, providing guidance for the exploration on NSCLC treatment.
Knockdown of ghrelin‐O‐acyltransferase attenuates colitis through the modulation of inflammatory factors and tight junction proteins in the intestinal epithelium
Authors: Tian Peiying , Lu Xiaolan , Jin Nuyun , Shi Jianping 
Published: April 2020

AbstractGhrelin‐O‐acyltransferase (GOAT) is a membrane‐bound enzyme that attaches eight‐carbon octanoate to a serine residue in ghrelin and thereby acylates inactive ghrelin to produce active ghrelin. In this study, we investigated the function of GOAT in the intestinal mucosal barrier. The intestinal mucosal barrier prevents harmful substances such as bacteria and endotoxin from entering the other tissues, organs, and blood circulation through the intestinal mucosa. Here, we established 5% dextran sodium sulfate (DSS)‐induced colitis in mice and found that the body weight and colon weight were significantly decreased in these mice. Furthermore, increased inflammation and apoptosis were observed in the tissues of DSS‐induced colitis mice, with increased expression of tumor necrosis factor‐α, interleukin‐6, phosphorylation of nuclear factor kappa B‐p65 (p‐NF‐κB‐p65), and cleaved caspase‐3, and decreased expression of tight junction (TJ) proteins such as zonula occluden‐1 and occludin. The knockdown of GOAT significantly attenuated colitis‐induced inflammation responses and apoptosis, while GOAT overexpression significantly enhanced the induction of colitis. These results suggest that knockdown of GOAT may attenuate colitis‐induced inflammation, ulcers, and fecal occult blood by decreasing the intestinal mucosal permeability via the modulation of inflammatory factors and TJ proteins.
Variable linezolid exposure and response and the role of therapeutic drug monitoring: Case series
Authors: Alghamdi Wael A. , Al‐Shaer Mohammad H. , Klinker Kenneth P. , Peloquin Charles A. 
Published: April 2020

AbstractTwo patients with normal renal function, yet each showed unexpected, supra‐ and subtherapeutic linezolid plasma concentrations resulting in toxicity and ineffective therapy, respectively. TDM helps to early identify and correct such excursions.
Gastric EBV‐positive mucocutaneous ulcer: A rare pathological entity
Authors: Gabsi Azza , Zenzri Yosr , Sahraoui Ghada , Ben Brahim Ihsen , Cherif Mouna , Yahyaoui Yosra , Chraiet Nesrine , Mrad Karima , Chedly Achraf , Ben Maamer Anis , Mezlini Amel 
Published: April 2020

AbstractThe gastric location of EBVMCU is extremely rare. The pathology examination and immunochemistry are mandatory for the diagnosis. It is essential that physicians be aware of this new entity to accurately diagnose and handle this disease.
A case of pulmonary embolism caused by compression of the vena cava by intra‐abdominal masses in autosomal polycystic kidney disease
Authors: Holzmann‐Littig Christopher , Lorenz Georg , Wen Ming , Heemann Uwe , Renders Lutz 
Published: April 2020

AbstractDyspnea can have among other reasons pulmonological and cardiological causes. In cases with intra‐abdominal masses such as in severe autosomal dominant polycystic kidney disease, mechanical occlusion of the vena cava may result in pulmonary embolism.
Intravagal parathyroid adenomas: Case report and literature review
Authors: List Marna A. , Boyce Brian J. , Dziegielewski Peter T. 
Published: April 2020

AbstractIntravagal parathyroid adenomas remain an exceedingly rare diagnosis; however, their true incidence may be higher than currently known. It is important to keep intravagal sites within the list of potential ectopic locations of parathyroid adenomas.
Recent Advances in C−H Functionalization with Electrochemistry and Various Iodine‐Containing Reagents
Authors: Qian Peng , Zha Zhenggen , Wang Zhiyong 
Published: April 2020

AbstractIodine‐catalyzed C−H functionalization has emerged as an attractive tool for the construction of various C−X (X=C, N, O, S, etc.) bonds, without the use of toxic transition‐metal catalysts. Nevertheless, strong chemical oxidants are usually required for the regeneration of iodine‐containing catalysts, which leads to poor atom economy and undesirable side reactions. Organic electrochemistry provides new opportunities for the assembly of various chemical bonds in an environmentally friendly manner. This Minireview discusses the recent advances of synthetic electrochemistry in C−H functionalization with various iodine‐containing reagents.
Conductive metal‐organic frameworks: Recent advances in electrochemical energy‐related applications and perspectives
Authors: Guo Lingzhi , Sun Jinfeng , Wei Jingxuan , Liu Yang , Hou Linrui , Yuan Changzhou 
Published: April 2020

AbstractMetal‐organic frameworks (MOFs), typically constructed with metallic nodes and organic linkers, have influenced the development of modular solid materials. Their adjustable molecular structure provides a remarkable variety of MOF‐based solid‐state structures towards diverse applications. However, the low conductivity of traditional MOFs extremely hinders their applications in electronic and electrochemical devices. The emerging conductive MOFs, generally possessing two‐dimensional layered structures, are endowed with both the structural merits of common MOFs and exceptional electronic/ionic conductivities. Besides, the selection and optimization of ligands and metal centers, as well as synthetic methods enormously affects the intrinsic conductivity of conductive MOFs. The distinctive crystal structures and superb conductivity promise their appealing applications in electrochemical energy‐related fields. In the review, we mainly summarize representative crystal features, conducting mechanisms and recent advances in rational design and synthesis of conductive MOFs, along with their versatile applications as electrodes for electrochemical capacitors and rechargeable batteries, and as catalysts towards electrocatalysis. Finally, the involved challenges and future trends/prospects of the conductive MOFs for electrochemical energy‐related applications are further proposed.
Electrophoretic Deposition of Binder‐Free MOF‐Derived Carbon Films for High‐Performance Microsupercapacitors
Authors: Li Yang , Park Teahoon , Kim Minjun , Xie Huaqing , Yi Jin Woo , Li Jing , Alshehri Saad M. , Ahamad Tansir , Na Jongbeom , Yamauchi Yusuke 
Published: April 2020

AbstractRecently, miniaturized power supplies have become essential components of micro‐electromechanical systems (MEMS) and portable microdevices due to their high‐power density, moderate specific energy, and superior long‐term cyclability. In this study, microsupercapacitors with ZIF‐8‐derived carbons as active materials were successfully fabricate by electrophoretic deposition method. The carbon materials on microsupercapacitors, which are directly deposited or obtained by pyrolyzing predeposited ZIF‐8 particles, play a crucial role in achieving outstanding electrochemical performances. The microsupercapacitor of 16 interdigital finger electrodes, prepared by electrophoretic deposition of ZIF‐8 particles and subsequent pyrolysis, shows maximum specific power 687.6 mW cm−3, specific energy 2.87 mWh cm−3, and 97.8 % capacitance retention rate after 10 000 cycles. The simple and facile process of electrophoretic deposition and subsequent pyrolysis of ZIF‐8 particles generates a film of densely populated microporous carbon particles on microsupercapacitor, leading to superior capacitive performances.
Salen‐Based Conjugated Microporous Polymers for Efficient Oxygen Evolution Reaction
Authors: Zhou Wei , Yang Li , Zhou Fu‐Yu , Deng Qi‐Wen , Wang Xiao , Zhai Dong , Ren Guo‐Qing , Han Ke‐Li , Deng Wei‐Qiao , Sun Lei 
Published: April 2020

AbstractExploring high‐performance electrocatalysts, especially non‐noble metal electrocatalysts, for the oxygen evolution reaction (OER) is critical to energy storage and conversion. Herein, we report for the first time that conjugated microporous polymers (CMPs) incorporating salen can be used as OER electrocatalysts with outstanding performances. The best OER electrocatalyst (salen‐CMP‐Fe‐3) exhibits a low Tafel slope of 63 mV dec−1 and an overpotential of 238 mV at 10 mA cm−2. DFT and Grand Canonical Monte Carlo calculations confirmed that the significantly improved electrocatalytic properties can be attributed to the intrinsic catalytic activity of the salen moiety and the enrichment effect of the pore structures. This work demonstrates that salen‐based conjugated polymers are a type of metal‐coordinated porous polymer that show excellent catalyst performance.
Double Emulsion‐Templated Single‐Core PLGA Microcapsules with Narrow Size Distribution and Controllable Structure by Using Premix Membrane Emulsification
Authors: Na Xiangming , Guo Jianjun , Li Tong , Zhou Weiqing , Ma Guanghui 
Published: April 2020

AbstractA scalable and versatile strategy was developed for fabrication of double emulsion‐templated single‐core PLGA microcapsules with narrow size distribution and controllable structure. A single‐core water‐in‐oil‐in‐water (W1/O/W2) double emulsion was generated from two‐step premix membrane emulsification, which guaranteed the narrow size distribution and size controllability of emulsion. During a secondary emulsification process, coalescence of W1 droplets within oil droplet allowed multi‐core W1/O/W2 double emulsion to spontaneously transform to a single‐core one. The osmotic pressure and solvent diffusion rate were used to control the shell‐thickness and surface morphology of single‐core PLGA microcapsules, respectively. The method proposed in this study could be extended for the fabrication of uniform single‐core polymeric microcapsules with controllable structures and size.
Reducing the amount of out‐of‐core data access for GPU‐accelerated randomized SVD
Authors: Lu Yuechao , Yamazaki Ichitaro , Ino Fumihiko , Matsushita Yasuyuki , Tomov Stanimire , Dongarra Jack 
Published: April 2020

SummaryWe propose two acceleration methods, namely, Fused and Gram, for reducing out‐of‐core data access when performing randomized singular value decomposition (RSVD) on graphics processing units (GPUs). Out‐of‐core data here are data that are too large to fit into the GPU memory at once. Both methods accelerate GPU‐enabled RSVD using the following three schemes: (1) a highly tuned general matrix‐matrix multiplication (GEMM) scheme for processing out‐of‐core data on GPUs; (2) a data‐access reduction scheme based on one‐dimensional data partition; and (3) a first‐in, first‐out scheme that reduces CPU‐GPU data transfer using the reverse iteration. The Fused method further reduces the amount of out‐of‐core data access by merging two GEMM operations into a single operation. By contrast, the Gram method reduces both in‐core and out‐of‐core data access by explicitly forming the Gram matrix. According to our experimental results, the Fused and Gram methods improved the RSVD performance up to 1.7× and 5.2×, respectively, compared with a straightforward method that deploys schemes (1) and (2) on the GPU. In addition, we present a case study of deploying the Gram method for accelerating robust principal component analysis, a convex optimization problem in machine learning.
Short text similarity measurement using context‐aware weighted biterms
Authors: Yang Shuiqiao , Huang Guangyan , Ofoghi Bahadorreza , Yearwood John 
Published: April 2020

SummaryWith the development of internet technologies, social media and mobile devices, short texts have become an increasingly popular medium among users to communicate with friends, search information and review products. Measuring the similarity between short texts is a fundamental task due to its importance in many applications, such as text retrieval, topic discovery, and event detection. However, short texts generally comprise sparse, noisy, and ambiguous information. Hence, effectively measuring the distance between short texts is a challenging task. In this paper, we exploit the advantageous corpus‐wide word co‐occurrence information into document‐level feature enrichment to mitigate the challenges caused by the sparseness of short texts for distance measurement. We propose a novel context‐aware weighted Biterm method for short text Distance Measurement (BDM). In BDM, we extract biterms (ie, word pairs) from a short text corpus and exploit a biterm topic model to determine the global weights of biterms in the corpus. We then determine the local importance of a biterm in different contexts (ie, short texts) based on the corpus‐level biterm weight. The distance between two short texts is computed using the context‐aware weighted biterms. Experimental results on three real‐world datasets demonstrate better accuracy and effectiveness of the proposed
BDM.
Guaranteeing differential privacy for sequence predictions in bike sharing systems
Authors: Xie Zhipu , Du Bowen , Huang Shangfo , Huang Bo , Sun Leilei , Lv Weifeng 
Published: April 2020

SummaryBeing part of public transportations, the bike sharing system plays an important role in solving the “last mile” problem. With more advantages than traditional bike sharing systems relying on fixed docks, dockless bike sharing systems are rapidly expanding, which generally operated under cloud‐based architectures. Emerging Things‐Edge‐Cloud (TEC) architectures are showing many advantages than cloud‐based architectures including greater potential in reducing risks of privacy leakage due to their decentralized computing manners. However, even in the TEC architecture, differential attacks, which aims to mine information of individuals in the aggregated data, still cause major threats. To solve this problem, this article proposes a novel encoding and decoding framework within the TEC architecture for time series predictions in bike sharing systems, with considerations of guaranteeing differential privacy. In particular, we first construct a dynamic autoencoder based on the Long Short Term Memory (LSTM) network, then the collected raw temporal data are encoded into a hidden state in the edge end. In the cloud end, the trained output weights are used to reconstruct the current time series and predict the next‐period time series according to received hidden states. This framework not only improves the computation efficiency of bike sharing system by leveraging computing power at the node end but also provides safer data publications that meet the differential privacy requirements. Experiments are conducted on real‐world datasets, results demonstrate the effectiveness of the proposed framework in providing data services with both high utility in sequence predictions and high safety level for users' privacy.
Expressions of ezrin, ERK, STAT3, and AKT in tongue cancer and association with tumor characteristics and patient survival
Authors: Noi Masaharu , Mukaisho Ken‐ichi , Murakami Shoko , Koshinuma Shinya , Machida Yoshisato , Yamori Masashi , Nakayama Takahisa , Ogawa Takao , Nakata Yusuke , Shimizu Takeshi , Yamamoto Gaku , Sugihara Hiroyuki 
Published: April 2020

AbstractBackgroundEzrin, ERK, STAT3, and AKT are proteins that are overexpressed in various types of cancer, although their expressions in tongue cancer has received less focus. This study aimed to address associations between the expression levels of these proteins and with characteristics of the tumor and patient survival.MethodsWe performed immunohistochemical staining of ezrin, ERK, STAT3, and AKT in tumors from patients with tongue carcinoma in situ (CIS, n = 17) and tongue squamous cell carcinoma (SCC, n = 46). Statistical differences between the SCC versus the CIS cohorts were estimated by calculations of bivariate odds ratios of low versus high expression of the proteins. Fisher's exact tests were used to appraise interassociations between the proteins, as well as expression levels versus patient and tumor characteristics. Survival based on Kaplan–Meier statistics in combination log‐rank tests were used to address potential effects of the patient and tumor characteristics versus 5‐year survival rate.ResultsThe relative high: low expression of all four proteins in the two cohorts differed, and particularly ERK was markedly overexpressed in the SCC versus the CIS cohort (odds ratio = 45.3, p < .01). The relative high: low expression each protein versus patient and tumor characteristics; showed associations between AKT expression and T stage (p = .002) plus node metastases (p = .12), and between ERK expression and drinking (p = .01) and smoking history (p = .01). There was no significant difference observed between ERK and the three other molecules, nor any significant difference between the degree of expression of each protein and the 5‐year disease‐specific survival rate.ConclusionEzrin, ERK, STAT3, and AKT appear to be involved in the progress from carcinoma in situ in the tongue into squamous cell carcinoma. ERK in particular is overexpressed, suggesting that ERK may be a novel therapeutic target for preventing tongue cancer.
CEO social capital in family businesses and its effect on investment opportunities: Asset or liability?
Authors: Romano Mauro , Favino Christian , Pennacchio Luca , Grimaldi Francesco 
Published: April 2020

AbstractSocial capital is a widely recognized critical intangible resource for firm success, especially in family businesses, which are considered “emotional arenas”. CEOs' social capital could represent a decisive factor, although its influence is unclear. This research aims to deepen the relationship between CEOs' social capital and firm investment opportunity set (IOS). The research hypothesis assumes a positive relationship between CEO social capital and firm's IOS. CEO social capital is estimated considering network centrality indicators suggested by the authoritative social network analysis literature. The IOS is represented by a single composite indicator of four price‐based proxies and one accounting variable. Using a wide sample of listed Italian family firms, the analysis shows that a CEO with a broader relational network decreases firm investment opportunities. The findings suggest that family businesses, in the Italian context, lack the environmental conditions and critical factors to valorize the CEO's social capital in terms of future investment opportunities.