bluuebunny/crossref_metadata_2025_split huggingface dataset:
Combined epithelial marker analysis of tumour budding in stage II colorectal cancer
Authors: Slik Khadija , Blom Sami , Turkki Riku , Välimäki Katja , Kurki Samu , Mustonen Harri , Haglund Caj , Carpén Olli , Kallioniemi Olli , Korkeila Eija , Sundström Jari , Pellinen Teijo 
Published: October 2018

AbstractTumour budding predicts survival of stage II colorectal cancer (CRC) and has been suggested to be associated with epithelial‐to‐mesenchymal transition (EMT). However, the underlying molecular changes of tumour budding remain poorly understood. Here, we performed multiplex immunohistochemistry (mIHC) to phenotypically profile tumours using known EMT‐associated markers: E‐cadherin (adherence junctions), integrin β4 (ITGB4; basement membrane), ZO‐1 (tight junctions), and pan‐cytokeratin. A subpopulation of patients showed high ITGB4 expression in tumour buds, and this coincided with a switch of ITGB4 localisation from the basal membrane of intact epithelium to the cytoplasm of budding cells. Digital image analysis demonstrated that tumour budding with high ITGB4 expression in tissue microarray (TMA) cores correlated with tumour budding assessed from haematoxylin and eosin (H&E) whole sections and independently predicted poor disease‐specific survival in two independent stage II CRC cohorts (hazard ratio [HR] = 4.50 (95% confidence interval [CI] = 1.50–13.5), n = 232; HR = 3.52 (95% CI = 1.30–9.53), n = 72). Furthermore, digitally obtained ITGB4‐high bud count in random TMA cores was better associated with survival outcome than visual tumour bud count in corresponding H&E‐stained samples. In summary, the mIHC‐based phenotypic profiling of human tumour tissue shows strong potential for the molecular characterisation of tumour biology and for the discovery of novel prognostic biomarkers.
Antimicrobial and Antibiofilm Activity of Disubstituted Bis‐benzimidazolium Salts
Authors: Tessier Jérémie , Lecluse Margaux , Gravel Julien , Schmitzer Andreea‐Ruxandra 
Published: October 2018

AbstractThe increased prevalence of antibiotic‐resistant bacteria is a critical issue for human health. Developing new antibiotic agents is vital for fighting persistent infections and lowering mortality rates. In this study, we designed lutidine‐disubstituted bis‐benzimidazolium salts (lutidine‐bis‐benzimidazolium core with octyl, adamantyl, and cholesteryl lipophilic side chains), and tested their antimicrobial activity, their capacity to inhibit planktonic bacterial and fungal growth, and their ability to inhibit the formation of or disrupt mature methicillin‐resistant Staphylococcus aureus (MRSA) biofilms. The antibiofilm activity of these salts was analyzed in terms of their lipophilicity, capacity to induce transmembrane ion transport, perturbation of the cellular membrane, and mechanism of action in the phospholipid bilayer. The synthesized compounds were not active against MRSA biofilms, as the formation of transmembrane channels had no effect on the integrity of the extracellular polymeric substance matrix and only octyl and adamantyl derivatives possessed the capacity to inhibit biofilm formation. The synthesized derivatives could be used as lead candidates for the development of anti‐MRSA agents.
Changes in body mass index, height, and weight in children during and after therapy for acute lymphoblastic leukemia
Authors: Browne Emily K. , Zhou Yinmei , Chemaitilly Wassim , Panetta John C. , Ness Kirsten K. , Kaste Sue C. , Cheng Cheng , Relling Mary V. , Pui Ching‐Hon , Inaba Hiroto 
Published: October 2018

AbstractBackgroundChildren with acute lymphoblastic leukemia (ALL) have an increased risk of obesity and short stature. To the authors’ knowledge, data regarding patients treated on contemporary protocols without cranial irradiation are limited.MethodsChanges in z scores for body mass index (BMI), height, and weight from the time of diagnosis to 5 years off therapy were evaluated using multivariable analysis in 372 children with ALL who were aged 2 to 18 years at the time of diagnosis and were enrolled on the St. Jude Children’s Research Hospital Total XV protocol from 2000 through 2007.ResultsThe percentage of overweight/obese patients increased from 25.5% at the time of diagnosis to approximately 50% during the off‐therapy period. Median BMI z scores increased significantly during glucocorticoid therapy (induction: ∆0.56; 95% confidence interval [95% CI], 0.29‐0.64 [P<.001]; and reinduction II: ∆0.22; 95% CI, 0.13‐0.49 [P=.001]) and during the first year after therapy (∆0.18; 95% CI, 0.08‐0.46 [P=.006]). Among patients who were of healthy weight/underweight at the time of diagnosis, those aged 2 to <10 years at diagnosis had a significantly higher risk of becoming overweight/obese during or after therapy compared with those aged ≥10 years (P=.001). Height z scores declined during treatment and improved after therapy. Being aged 2 to <10 years at the time of diagnosis, being of low‐risk status, having a white blood cell count < 50×109/L at the time of diagnosis, and having negative central nervous system disease were associated with significantly better improvements in z scores for height during the off‐therapy period compared with being aged ≥10 years, being of standard‐risk/high‐risk status, having a white blood cell count  ≥ 50×109/L, and having positive central nervous system disease, respectively.ConclusionsThe results of the current study demonstrate that obesity is prevalent, and height growth, especially in patients with identified risk factors, appears compromised. Multidisciplinary intervention should begin during induction therapy and continue during the off‐therapy period.
Phase 1 lead‐in to a phase 2 factorial study of temozolomide plus memantine, mefloquine, and metformin as postradiation adjuvant therapy for newly diagnosed glioblastoma
Authors: Maraka Stefania , Groves Morris D. , Mammoser Aaron G. , Melguizo‐Gavilanes Isaac , Conrad Charles A. , Tremont‐Lukats Ivo W. , Loghin Monica E. , O’Brien Barbara J. , Puduvalli Vinay K. , Sulman Erik P. , Hess Kenneth R. , Aldape Kenneth D. , Gilbert Mark R. , de Groot John F. , Alfred Yung W.K. , Penas‐Prado Marta 
Published: October 2018

BackgroundRepurposed memantine, mefloquine, and metformin have putative anticancer activity. The objective of this phase 1 study was to determine the maximum tolerated doses (MTDs) of combinations of these agents with temozolomide (TMZ).MethodsAdults with newly diagnosed glioblastoma who completed chemoradiation were eligible. The patients were assigned to receive doublet, triplet, or quadruplet therapy with TMZ combined with mefloquine, memantine, and/or metformin. Dose‐limiting toxicities (DLTs) were determined, using a 3 + 3 study design.ResultsOf 85 enrolled patients, 4 did not complete cycle 1 (the DLT observation period) for nontoxicity reasons, and 81 were evaluable for DLT. The MTDs for doublet therapy were memantine 20 mg twice daily, mefloquine 250 mg 3 times weekly, and metformin 850 mg twice daily. For triplet therapy, the MTDs were memantine 10 mg twice daily, mefloquine 250 mg 3 times weekly, and metformin 850 mg twice daily. For quadruplet therapy, the MTDs were memantine 10 mg twice daily, mefloquine 250 mg 3 times weekly, and metformin 500 mg twice daily. DLTs included dizziness (memantine) and gastrointestinal effects (metformin). Lymphopenia was the most common adverse event (66%). From study entry, the median survival was 21 months, and the 2‐year survival rate was 43%.ConclusionsMemantine, mefloquine, and metformin can be combined safely with TMZ in patients with newly diagnosed glioblastoma.
Theoretical and experimental study on the astigmatism self‐compensation in multi‐disk laser resonator based on exhaustive method
Authors: Du Jinyu , Yi Jiayu , Yang Zhongming , Yu Yi , Tu Bo , An Xiangchao 
Published: October 2018

SummaryIn order to improve the quality of multi‐disk laser output beam quality, a theoretical method of astigmatism self‐compensation in multi‐disks resonator is developed based on which the maximization pre‐compensation of static aberration in the multi‐disk laser resonator is realized with the geometrical superposition of the astigmatism coefficient using the exhaustive method. In order to verify the theoretical method, a self‐compensating experiment has designed based on the theoretical method, which shows a clear improvement of the beam quality β.
Model updating and variability analysis of modal parameters for super high‐rise structure
Authors: Ye Xijun , Chen Bingcong 
Published: October 2018

SummaryFor Structural Health Monitoring (SHM), a core prerequisite is to accurately identify the modal properties. Since the dynamic characteristics of a structure change under the effects of different environmental factors such as temperature and wind, it is necessary to determine how the environmental factors affect the modal properties. This study focuses on the Guangzhou new TV tower (GNTVT), which is a 610‐m high structure. Based on the measured data from GNTVT, both the varying patterns of the operational modal parameters under the effects of different environmental factors and the Finite Element Model (FEM) updating based on Genetic Algorithm (GA) had been investigated. Then, using the updated FEM, the effect of the temperature on the modal frequency had been investigated under two situations: (1) Temperature only affects the modulus of elasticity. This situation was considered to be more important because of the significant frequency change. When temperature increases by10°C, the maximum change of modal frequencies is 1%. (2) Temperature only affects the geometric stiffness of structure. This situation was considered to be less important because the change in the frequency is very small which may be ignored. When temperature increases by10°C, the maximum change of modal frequencies is 0.02%. The simulated results were consistent with the measured results.
Retracted: A hybrid feature selection algorithm for microarray data
Authors: Zheng Yuefeng , Li Ying , Wang Gang , Chen Yupeng , Xu Qian , Fan Jiahao , Cui Xueting 
Published: October 2018

AbstractRetraction: Zheng Y, Li Y, Wang G, et al. A hybrid feature selection algorithm for microarray data. Concurrency Computat Pract Exper. 2018;e4716. https://doi.org/10.1002/cpe.4716. The above article, published online on 25th October 2018 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the authors, the journal Editor in Chief Professor Geoffrey Fox, and John Wiley and Sons Ltd. The retraction has been agreed as an alternative algorithm was used than that described in the manuscript resulting in foundational errors that are beyond the application of errata.
Distinguish computer generated and digital images: A CNN solution
Authors: He Ming 
Published: October 2018

SummaryThe development of computer graphics has promoted the creation of computer generated images (CG) to a degree of unrivaled realism. It is of benefit to some industries like games and movies, which is aiming at making photo‐realistic images. At the same time, it brought attacks on many vision systems. An artist can modify one fake image using knowledge based on computer graphics to deceive most people, turning this into a very dangerous weapon. It is of great importance to differentiate a photo‐realistic computer generated image from a real photograph (PG). This problem can be modeled as a binary classification problem. Given one image, we just predict a label like “CG” or “PG” on it. To address this classification problem, we propose a method based on convolutional network through transfer learning. We choose VGG and ResNet as our base network structure and develop different models. Current state‐of‐the‐art approaches rely on hand‐crafted feature while we adopt a power convolutional network as an alternative and achieve the state‐of‐the‐art performance. In comparison, our method is end to end and more stable.
Distance variety preserving hashing for large‐scale retrieval
Authors: Zhai Sheping 
Published: October 2018

SummaryHashing techniques have been seen huge adoption in large‐scale retrieval owing to the computational and storage efficiencies of binary codes. However, the binary codes might not preserve the semantic similarity powerfully and lead to poor accuracy. To evade binary limitation but remain hashing superiority, this paper introduces a novel asymmetric hashing framework for distance variety preserving, which yields preferable performance via real‐valued query and multi‐valued database with shorter code length. Concretely, a binary sparse representation is proposed for multivalued database encoding to make computation and storage complexity tolerable. By exploiting the supervised information, we learn a projective matrix that project data onto a sub‐space in which the similarity between realvalued query and multi‐valued database can be measured. Due to the discrete constraints, for different discrete variables, we present different meticulous discrete solutions for their sub‐problems. Exhaustive experiments on three multilabel datasets demonstrate our approach outperforms most state‐of‐the‐art hashing methods.
Analysis of an optimal PMU configuration method based on incomplete observation
Authors: Yang Fan , Yan Limei , Xu Jianjun , Li Hongyu 
Published: October 2018

SummaryPMU configuration in the actual process, due to economic factors, cannot configurate a sufficient number of PMUs to make the system completely observable; this paper studies an optimal PMU placement based on incomplete observation for the given number of PMUs in a grid. After getting configurations, if the solution is not unique, then the system probabilistic reliability index is used as a reference factor to determine the largest value of the probabilistic reliability PMU incremental optimization program, and the CLMCS flow calculation method is used to verify the correctness of selected programs and gives the results of various programs and the number of iterations.
A high‐performance maintenance strategy for stochastic selective maintenance
Authors: Zhao Jing , Liu Jianqi , Zhao Zhenting , Xin Miao , Chen Yu 
Published: October 2018

SummarySelective maintenance is often applied in many industrial environments where maintenance is performed between sequence missions. When the mission time is stochastic and there are multiple maintenance workers with different capacities, the system reliability of the next work mission can be maximized by using a stochastic model under the constraint of the limit maintenance time. The optimal maintenance strategy is obtained with an optimization algorithm. A simulation was performed to verify the validity and feasibility of the proposed model.
Improving performance in mobile ad hoc networks by reliable path selection routing using RPS‐LEACH
Authors: M. Anbarasan , S. Prakash , M. Anand , A. Antonidoss 
Published: October 2018

SummaryVitality reliant and mobility are the two factors that deplete some measure of energy during the radio communication often occur in Mobile Ad hoc Network (MANET) among and between the nodes. Since MANET is a decentralized system, it poses to the exploitation of energy during the reliable path selection during routing. Hence, selection of protocol plays a major aspect in MANET for combatting against the energy depletion of nodes, Instable link, mobility character, and load balancing. The RPS‐LEACH protocol is proposed in this paper for the efficient path selection by organizing the nodes into clusters. For each cluster, Cluster Head (CH) is elected based on its strong transmission power and battery life. The Cluster Members (CM) is organized, respectively, based on its ability to respond to its cluster head REQs. Mainly, RPS values are calculated by the two parameters such as (i) successful interactions and (ii) unsuccessful interactions. In the proposed system, RPS (Reliable Path Selection) values are exchanged among the nodes for the reliable path selection by choosing the highest RPS value node for its communication. Hence, by adopting the RPS scheme, the nodes are able to choose the most reliable path for the efficient data transfer by exchanging the RPS values by ignoring the paths that consuming long time to transfer the data. In this procedure, correspondence convention, which comprises imperative impact of vitality liberality of such networks, is addressed. In cases of applications with no predefined or intended infrastructure, this scheme paves way for the versatile hubs to perform as the energy efficient routing nodes. Simulation carried out in NS2 and results shown improved performance when compared with LDTS and RPS‐LEACH.
Crowding and Confinement Can Oppositely Affect Protein Stability
Authors: Cheng Kai , Wu Qiong , Zhang Zeting , Pielak Gary J. , Liu Maili , Li Conggang 
Published: October 2018

AbstractProteins encounter crowded and confined macromolecular milieus in living cells. Simple theory predicts that both environments entropically stabilize proteins if only hard‐core repulsive interactions are considered. Recent studies show that chemical interactions between the surroundings and the test protein also play key roles such that the overall effect of crowding or confinement is a balance of hard‐core repulsions and chemical interactions. There are, however, few quantitative studies. Here, we quantify the effects of crowding and confinement on the equilibrium unfolding thermodynamics of a model globular protein, KH1. The results do not agree with predictions from simple theory. KH1 is stabilized by synthetic‐polymer crowding agents but destabilized by confinement in reverse micelles. KH1 is more entropically stabilized and enthalpically destabilized in concentrated solutions of the monomers than it is in solutions of the corresponding polymers. When KH1 is confined in reverse micelles, the temperature of maximum stability decreases, the melting temperature decreases, and the protein is entropically destabilized and enthalpically stabilized. Our results show the importance of chemical interactions to protein folding thermodynamics and imply that cells utilize chemical interactions to tune protein stability.
Abnormalities in the EEG power spectrum in bulimia nervosa, binge‐eating disorder, and obesity: A systematic review
Authors: Blume Marie , Schmidt Ricarda , Hilbert Anja 
Published: October 2018

AbstractTo provide a basis for electroencephalography (EEG) neurofeedback protocols for bulimia nervosa (BN), binge‐eating disorder (BED), and obesity, this systematic review investigates alterations in EEG‐measured brain activity, specifically frequency bands. A systematic literature search with predefined search terms yielded N = 7 studies meeting the inclusion criteria. The risk of bias was assessed for all studies. In resting‐state EEG, the beta activity was elevated in fronto‐central regions in individuals with obesity and co‐morbid BED. In food‐cue conditions, both obese individuals with and without BED showed increased beta activity, suggesting increased awareness of food cues and a heightened attentional focus towards food stimuli. The level of beta activity was positively correlated with eating disorder psychopathology in resting and food‐cue conditions. In individuals with BN, there was no evidence for altered EEG spectral power. The results indicate specific alterations in EEG‐based brain activity in individuals with BED and obesity. More high‐quality studies are needed to further confirm these findings and to transfer them into EEG‐based interventions.
Fire spread from an open‐doors electrical cabinet to neighboring targets in a confined and mechanically ventilated facility
Authors: Zavaleta Pascal , Suard Sylvain , Audouin Laurent 
Published: October 2018

SummaryElectrical cabinet fire is one of the main fire hazards in nuclear power plants. As part of the OECD PRISME‐2 programme, four fire tests were carried out to investigate the fire spread from an open‐doors electrical cabinet to overhead cable trays and adjacent cabinets in a confined and mechanically ventilated facility. These tests, named CFS‐5 to CFS‐7 and CORE‐6, used same both cabinet (fire source) and three overhead cable trays. The trays were filled with a halogenated flame‐retardant cable‐type for CFS‐5 and one halogen‐free for the three other tests. Moreover, fire dampers were used for CFS‐7 test while CORE‐6 test implemented two additional cabinets adjacent to the fire source. Measurements such as flame and gas temperature, gas concentration, mass loss rate, and heat release rate were performed for investigating the fire spread. Cabinet fire spread to the cable trays for CFS‐5 and CFS‐6 tests. Three fast and short cable tray fires were shown for CFS‐5, while a slow and long cable tray fire was highlighted for CFS‐6. In contrast, the fire dampers shutdown for CFS‐7 test prevented ignition of the overhead cables. Furthermore, for CORE‐6 test, cabinet fire spread to the adjacent cabinets, but the upper cables were not ignited.
Biosorption Potential of Phanerochaete chrysosporium for Arsenic, Cadmium, and Chromium Removal from Aqueous Solutions
Authors: Rudakiya Darshan M. , Iyer Vignesh , Shah Darsh , Gupte Akshaya , Nath Kaushik 
Published: October 2018

AbstractEfficient degradation of hazardous contaminants from contaminated water is the major challenge for researchers, wherein heavy metals are the prominent contaminants. Consequently, the assessment of multimetal removal is necessary using efficient biosorbant. In this work, the capability of Phanerochaete chrysosporium is evaluated for the individual and simultaneous removal of heavy metals. Individual and simultaneous removal of As, Cd, and Cr is optimized using response surface methodology based on the central composite design by changing the variables, i.e., pH, fungal biomass, and metal concentration. Optimization of the individual metal removal study reveals that fungus effectively absorbs As (29.95 mg L−1), Cd (18.1 mg L−1), and Cr (26.34 mg L−1) at 6.1, 5.64, and 4.15 of pH, respectively. Similarly, As (14.18 mg L−1), Cd (4.53 mg L−1), and Cr (9.28 mg L−1) are absorbed by fungal hyphae simultaneously within 1 h. Changes in the morphology of fungal hyphae are detected in metal absorbed samples as compared to the control hyphae. Interaction of metal‐absorbed fungal hyphae is analyzed using FTIR spectroscopy, revealing that the proteins, carbohydrates, and fatty acids present in the fungal cell are interacted with metals. The model white rot fungi used in the present study can be applied efficiently for the multimetal removal in effluent treatment plants.