bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical efficacy of osimertinib for a patient with ileus due to peritoneal carcinomatosis
Authors: Kawaguchi Yo , Hanaoka Jun , Hayashi Hideki , Fukuda Yoshihisa , Iihara Hirotoshi , Suzuki Akio , Sugiyama Tadashi 
Published: January 2020

AbstractWe report a patient of stage IV lung adenocarcinoma who developed ileus due to peritoneal carcinomatosis. We placed an ileus tube and started an oral intake of osimertinib. Within one month, the tumor had shrunk, and the ileus was controlled.
Self‐Supported Electrocatalysts for Efficient Oxygen Evolution Reaction: Hierarchical CuOx@CoO Nanorods Grown on Cu Foam
Authors: Li Pan , Wang Jianzhi , Cai Ning , Wang Lei , Tong Jing , Yu Faquan 
Published: January 2020

AbstractThe fabrication of cost‐effective and performance‐advanced electrocatalysts is in great requirements for water splitting to achieve sustainable oxygen production. A simple and effective precursor of ZIF‐67 particles mounted on Cu(OH)2 nanorods was induced by a template alignment method. After annealing, hierarchical CoO polyhedron‐decorated CuO/Cu2O (CuOx) nanorods on Cu foam (denoted as CuOx@CoO NRs/CF) were achieved, which displayed the heterojunction in CuOx components, hierarchical configuration and outward active sites. These features, verified by HRTEM, SEM, XPS and EDX, optimized the oxygen evolution reaction (OER) electrocatalyst. Benefiting from its large electrochemical surface area and the synergetic effect between CuOx and CoO, CuOx@CoO NRs/CF exhibited considerable catalytic activity with a low overpotential of 254 mV to obtain a current density of 10 mA cm−2 in alkaline electrolyte and a scarce loss of the initial catalyst activity over 24 h and over 5000 cycles. This work provides a channel to enhance the performance in OER.
Maximized Energy Density of RuO2//RuO2 Supercapacitors through Potential Dependence of Specific Capacitance
Authors: Wang Yilun , Gu Dawei , Guo Jiaren , Xu Mingyang , Sun Hongshun , Li Jishu , Wang Lei , Shen Linjiang 
Published: January 2020

AbstractIn this study, a stepwise cyclic voltammetry approach was proposed to clarify the potential dependence of specific capacitance for reduced graphene oxide and ruthenium oxide electrodes. Based on the relationship between specific capacitance and potential, the working voltage window and energy density of RuO2//RuO2 supercapacitors (SCs) were maximized by modulating the mass ratio. The working voltage window of RuO2//RuO2 with a mass ratio of 2.03 (close to optimum mass ratio
) was extended by about 188 % when compared to that calculated at a mass ratio of 0.56. The former was equivalent to a 304 % increase in energy density. In addition, the source of wasted potential window of electrodes on RuO2//RuO2 was investigated in an effort to design and produce better SCs.
Electrochemical Cross‐Dehydrogenative Coupling between Phenols and β‐Dicarbonyl Compounds: Facile Construction of Benzofurans
Authors: Wang Yandong , Tian Bailin , Ding Mengning , Shi Zhuangzhi 
Published: January 2020

AbstractPreparative electrochemical synthesis is an ideal method for establishing green, sustainable processes. The major benefits of an electro‐organic strategy over that of conventional chemical synthesis are the avoidance of reagent waste and mild reaction conditions. Here, an intermolecular cross‐dehydrogenative coupling between phenols and β‐dicarbonyl compounds has been developed to build various benzofurans under undivided electrolytic conditions. Neither transition metals nor external chemical oxidants are required to facilitate the dehydrogenation and dehydration processes. The key factor in success was the use ofnBu4NBF4as the electrolyte and hexafluoroisopropanol as the solvent, which play key roles in the cyclocondensation step. This electrolysis is scalable and can be used as a key step in drug synthesis. On the basis of several experimental results, the mechanism, particularly of the remarkable anodic oxidation and cyclization process, was illustrated.
Assessing semantic similarity between concepts: A weighted‐feature‐based approach
Authors: Wasti Shahbaz Hassan , Hussain Muhammad Jawad , Huang Guangjian , Akram Aftab , Jiang Yuncheng , Tang Yong 
Published: January 2020

SummaryTraditional feature‐based semantic similarity (SS) approaches exploit the Wikipedia features in term of sets. They evaluate the similarity of concepts based on the commonalities among their feature sets. However, these feature‐based approaches treat all the features equally in similarity evaluation. Therefore, they ignore the underlying statistics of the features and consequently lose the essential semantic details about them. One solution is that each feature can be assigned a specific weight using its statistics. This weight will reflect the relative importance of a feature in similarity evaluation. Therefore, in this paper, based on two statistical models, ie, information content and TFIDF, we propose some hybrid semantic similarity measurement methods. Firstly, we propose some new methods called weighting functions to compute the weights of the features and feature sets in Wikipedia. Secondly, based on the weighting functions, we propose some new weighted feature‐based SS approaches for Wikipedia concepts. Thirdly, we evaluate the proposed methods on well‐known benchmarks for English, German, French, and Spanish languages. Finally, we compare the performance of our methods with the traditional feature‐based and some state‐of‐the‐art SS approaches. The experimental evaluation shows that our weighted methods perform better than the traditional feature‐based and some state‐of‐the‐art approaches in similarity evaluation.
Task scheduling based on deep reinforcement learning in a cloud manufacturing environment
Authors: Dong Tingting , Xue Fei , Xiao Chuangbai , Li Juntao 
Published: January 2020

SummaryCloud manufacturing promotes the transformation of intelligence for the traditional manufacturing mode. In a cloud manufacturing environment, the task scheduling plays an important role. However, as the number of problem instances increases, the solution quality and computation time always go against. Existing task scheduling algorithms can get local optimal solutions with the high computational cost, especially for large problem instances. To tackle this problem, a task scheduling algorithm based on a deep reinforcement learning architecture (RLTS) is proposed to dynamically schedule tasks with precedence relationship to cloud servers to minimize the task execution time. Meanwhile, the Deep‐Q‐Network, as a kind of deep reinforcement learning algorithms, is employed to consider the problem of complexity and high dimension. In the simulation, the performance of the proposed algorithm is compared with other four heuristic algorithms. The experimental results show that RLTS can be effective to solve the task scheduling in a cloud manufacturing environment.
Proton Pump Inhibitors Augment the Risk of Major Adverse Cardiovascular Events and End‐Stage Renal Disease in Patients With Acute Kidney Injury After Temporary Dialysis
Authors: Tsai I‐Jung , Lai Tai‐Shuan , Shiao Chih‐Chung , Huang Tao‐Min , Wang Chih‐Hsien , Tsao Chun-Hao , Chen Liang-Wen , Lin Yen‐Hung , Chen Likwang , Wu Vin‐Cent , Chu Tzong‐Shinn ,   the National Taiwan University Hospital Study Group on Acute Renal Failure (NSARF)
Published: January 2020

Proton pump inhibitors (PPIs) have been reported to increase the risk of acute and chronic renal disease. However, the data are unclear in patients with acute kidney injury (AKI) requiring dialysis (AKI‐D) who are often candidates for PPIs. To investigate this important issue, we identified 26,052 AKI‐D patients from Taiwan’s National Health Insurance Research Database weaning from dialysis. During a mean follow‐up period of 3.52 years, the PPI users had a higher incidence of end‐stage renal disease (ESRD) than the PPI nonusers (P < 0.001). After propensity score matching and treating mortality as a competing risk factor, the PPI users had a higher risk of ESRD (subhazard ratio (sHR) 1.40; 95% confidence interval (CI), 1.31–1.50) and major adverse cardiac events (MACE, sHR 1.53; 95% CI, 1.37–1.71) compared with the PPI nonusers with AKI‐D survivors. In conclusion, the use of PPIs was associated with a higher risk of ESRD and MACE, compared with the PPI nonusers in AKI‐D patients who weaned from dialysis.
Normalized Testosterone Glucuronide as a Potential Urinary Biomarker for Highly Variable UGT2B17 in Children 7–18 Years
Authors: Zhang Haeyoung , Basit Abdul , Wolford Chris , Chen Kuan‐Fu , Gaedigk Andrea , Lin Yvonne S. , Leeder J. Steven , Prasad Bhagwat 
Published: January 2020

UDP‐glucuronosyltransferase 2B17 (UGT2B17) is a highly variable androgen‐metabolizing and drug‐metabolizing enzyme. UGT2B17 exhibits a unique ontogeny profile characterized by a dramatic increase in hepatic protein expression from prepubertal age to adulthood. Age, sex, copy number variation (CNV), and single nucleotide polymorphisms only explain 26% of variability in protein expression, highlighting the need for a phenotypic biomarker for predicting interindividual variability in glucuronidation of UGT2B17 substrates. Here, we propose testosterone glucuronide (TG) normalized by androsterone glucuronide (TG/AG) as a urinary UGT2B17 biomarker, and examine the associations among urinary TG/AG and age, sex, and CNV. We performed targeted metabolomics of 12 androgen conjugates with liquid‐chromatography tandem mass spectrometry in 63 pediatric subjects ages 7–18 years followed over 7 visits in 3 years. Consistent with the reported developmental trajectory of UGT2B17 protein expression, urinary TG/AG is significantly associated with age, sex, and CNV. In conclusion, TG/AG shows promise as a phenotypic urinary UGT2B17 biomarker.
Genomic prediction and quantitative trait locus discovery in a cassava training population constructed from multiple breeding stages
Authors: Somo Mohamed , Kulembeka Heneriko , Mtunda Kiddo , Mrema Emmanuel , Salum Kasele , Wolfe Marnin D. , Rabbi Ismail Y. , Egesi Chiedozie , Kawuki Robert , Ozimati Alfred , Lozano Roberto , Jannink Jean‐Luc 
Published: January 2020

AbstractAssembly of a training population (TP) is an important component of effective genomic selection‐based breeding programs. In this study, we examined the power of diverse germplasm assembled from two cassava (Manihot esculenta Crantz) breeding programs in Tanzania at different breeding stages to predict traits and discover quantitative trait loci (QTL). This is the first genomic selection and genome‐wide association study (GWAS) on Tanzanian cassava data. We detected QTL associated with cassava mosaic disease (CMD) resistance on chromosomes 12 and 16; QTL conferring resistance to cassava brown streak disease (CBSD) on chromosomes 9 and 11; and QTL on chromosomes 2, 3, 8, and 10 associated with resistance to CBSD for root necrosis. We detected a QTL on chromosome 4 and two QTL on chromosome 12 conferring dual resistance to CMD and CBSD. The use of clones in the same stage to construct TPs provided higher trait prediction accuracy than TPs with a mixture of clones from multiple breeding stages. Moreover, clones in the early breeding stage provided more reliable trait prediction accuracy and are better candidates for constructing a TP. Although larger TP sizes have been associated with improved accuracy, in this study, adding clones from Kibaha to those from Ukiriguru and vice versa did not improve the prediction accuracy of either population. Including the Ugandan TP in either population did not improve trait prediction accuracy. This study applied genomic prediction to understand the implications of constructing TP from clones at different breeding stages pooled from different locations on trait accuracy.
Ratooning as a management strategy for lodged or drought‐damaged rice crops
Authors: Torres Rolando O. , Natividad Mignon A. , Quintana Marinell R. , Henry Amelia 
Published: January 2020

AbstractRice (Oryza sativa L.) plants have the ability to develop ratoon tillers if the terminal growing point is lost, such as when the panicle has been aborted, matured, or harvested. We examined postharvest and midseason ratooning as management strategies for damaged rice crops, both in irrigated and rainfed conditions. Genotypic variation was observed in terms of postharvest ratoon tillering, midseason ratoon crop growth after lodging, and midseason ratoon crop growth after drought stress. The genotypic variation in postharvest ratoon tillering was related to stem carbohydrate levels at the time of main crop harvest and was affected by soil moisture levels at the time of main crop harvest. Drought‐tolerant varieties did not consistently show improved ratoon crop growth. After lodging, cutting stems at a height of 30 cm produced the highest numbers of ratoon tillers, and the contribution of the ratoon crop to the total harvestable grain yield was highest when the ratoon crop was initiated at earlier growth stages. The highest ratoon grain yields recovered from lodged crops ranged up to 3.58 t ha−1. Total grain yield after drought was improved by trimming the leaves and panicles only in certain conditions and did not appear to be correlated with stem carbohydrate levels. These results suggest that management strategies may be recommended to farmers that exploit the ratooning ability of rice for improved recovery after midseason crop damage.
Hybrid beamforming design based on unsupervised machine learning for millimeter wave systems
Authors: Costa Neto Francisco Hugo , Costa Araújo Daniel , Ferreira Maciel Tarcisio 
Published: January 2020

SummaryThis article proposes a hybrid beamforming design with reduced channel state information (CSI) feedback. We use a beam sweeping procedure to provide channel measurements and feed a CSI report scheme. Thereby, the base station (BS) can perform an adequate estimation of the channel characteristics with reduced signaling overhead. Consequently, we need short pilot sequences and very few precoding matrix indicators (PMIs) to properly describe channel behavior. Moreover, we also evaluate different user selection strategies based on unsupervised machine learning framework that exploits the channel information provided by the proposed beam sweeping scheme. Our performance evaluation indicates that the user selection based on fuzzy c‐means is able to efficiently explore the reduced CSI. The proposed hybrid beamforming scheme reduces the multi‐user interference and achieves significant gains in total data rate as channel conditions and interference environment becomes more challenging.
Heterozygous mutation of the splicing factor Sf3b4 affects development of the axial skeleton and forebrain in mouse
Authors: Yamada Takahiko , Takechi Masaki , Yokoyama Norisuke , Hiraoka Yuichi , Ishikubo Harumi , Usami Takako , Furutera Toshiko , Taga Yuki , Hirate Yoshikazu , Kanai‐Azuma Masami , Yoda Tetsuya , Ogawa‐Goto Kiyoko , Iseki Sachiko 
Published: January 2020

AbstractBackgroundSplicing factor 3B subunit 4 (SF3B4) is a causative gene of an acrofacial dysostosis, Nager syndrome. Although in vitro analyses of SF3B4 have proposed multiple noncanonical functions unrelated to splicing, less information is available based on in vivo studies using model animals.ResultsWe performed expression and functional analyses of Sf3b4 in mice. The mouse Sf3b4 transcripts were found from two‐cell stage, and were ubiquitously present during embryogenesis with high expression levels in several tissues such as forming craniofacial bones and brain. In contrast, expression of a pseudogene‐like sequence of mouse Sf3b4 (Sf3b4_ps) found by in silico survey was not detected up to embryonic day 10. We generated a Sf3b4 knockout mouse using CRISPR‐Cas9 system. The homozygous mutant mouse of Sf3b4 was embryonic lethal. The heterozygous mutant of Sf3b4 mouse (Sf3b4+/−) exhibited smaller body size compared to the wild‐type from postnatal to adult period, as well as homeotic posteriorization of the vertebral morphology and flattened calvaria. The flattened calvaria appears to be attributable to mild microcephaly due to a lower cell proliferation rate in the forebrain.ConclusionsOur study suggests that Sf3b4 controls anterior‐posterior patterning of the axial skeleton and guarantees cell proliferation for forebrain development in mice.
Defective coronary vessel organization and reduction of VEGF‐A in mouse embryonic hearts with gestational mild hypoxia
Authors: Cai Lawrence X. , Alkassis Fariz F. , Kasahara Hideko 
Published: January 2020

AbstractBackgroundVasculature is formed by responding to homeostatic tissue demands including in developing hearts. Hypoxia generally stimulates vascular formation in which vascular endothelial growth factor A (VEGF‐A) plays a critical role. Gestational hypoxia increases the risk of low intrauterine growth and low birth weight, both of which are known to increase the risk of the fetus developing cardiovascular defects. In fact, continuous gestational mild hypoxia (14% O2) from the mid‐embryonic stage causes cardiac anomalies accompanied by a thinning compact layer in mice in vivo. Because coronary vasculature formation is necessary for compact layers to thicken, we hypothesized that defective coronary vessel organization is related to the thinning compact layer under gestational hypoxia conditions.ResultsContinuous gestational mild hypoxia (14% O2) applied from embryonic day 10.5 (E10.5) reduced the expression of VEGF‐A mRNA and proteins by over 60% in E12.5 hearts relative to control normoxic hearts. Formation of CD31‐positive vascular plexus, blood islands, and microvessels in embryonic ventricles were stunted by gestational hypoxia compared to control E12.5 hearts.ConclusionsOur results suggest that mild hypoxia (14% O2) does not induce coronary vessel organization or VEGF‐A expression in developing mouse hearts, opposing the general effects of hypoxia‐triggering vascular organization and VEGF‐A expression.
Specialized bacteriome uncovered in the coralloid roots of the epiphytic gymnosperm, Zamia pseudoparasitica
Authors: Bell‐Doyon Philip , Laroche Jérôme , Saltonstall Kristin , Villarreal Aguilar Juan Carlos 
Published: January 2020

AbstractEpiphytes face several constraints regarding nutrient acquisition: They are disconnected from soil minerals and they have to mainly rely on nutrients leached by precipitation and microbes. The cycad, Zamia pseudoparasitica Yates, is the only known strictly epiphytic gymnosperm, and it is endemic to Panamanian rainforests. Cycads have evolved specialized coralloid roots that host endophytic cyanobacteria specialized in nitrogen fixation. We collected coralloid roots from plants in the Omar Torrijos National Park, Provincia de Coclé. DNA was extracted from fresh inner coralloid roots, and the bacteriome was described using two molecular markers: rbcL‐rbcX (targeting cyanobacteria) and 16S (all bacteria). Sixteen samples were sequenced for rbcL‐rbcX yielding sequences belonging to a monophyletic group within the order Nostocales. One hundred and sixty‐five amplicon sequence variants (ASVs) were found in at least two of our 27 samples amplified for 16S. Nostocales, Rhizobiales, and Acetobacterales were the three most diverse and abundant orders of bacteria found within the coralloid roots, and the candidate phylum WPS‐2 was also found in many samples. We performed a de novo assembly from a single culture of the endophytic cyanobacteria. A phylogenomic analysis of the isolate places the cyanobacterium in a sister clade to mostly symbiotic taxa from mosses, liverworts, and lichens. Additionally, the isolate has genes putatively involved in symbiotic signaling, hormogonium differentiation, ammonium transport, nitrogen fixation, heterocyst differentiation, sulfate transport, and secondary metabolites. Although dominated by organisms with the capacity to fix nitrogen, coralloid roots are also inhabited by a diverse community of other taxa which may also play biologically important roles.
A Novel Cinnamic Acid‐Based Organogel: Effect of Oil Type on Physical Characteristics and Crystallization Kinetics
Authors: Yu Dianyu , Wang Xu , Li Dan , Zhang Xin , Yu Changhua , Pei Xingwu , Cheng Jinju , Wang Liqi 
Published: January 2020

AbstractOil sources (canola, sunflower, and flax‐seed oil) characterized by unsaturated fatty acids are gelled by using cinnamic acid. The physical characteristics and crystallization kinetics of cinnamic acid‐based organogels are investigated. A phase diagram with cinnamic acid concentrations ranging from 1% to 7% (w/w) shows that both canola and sunflower oil organogels are formed at 3.0% (w/w) cinnamic acid at 5 °C. The flax‐seed oil organogels are formed at 4.0% (w/w) at 5 °C. Firmness is shown to be dependent on the fatty acid composition and viscosity of the oil. Flax‐seed oil with a higher degree of unsaturation and lower viscosity tends to produce harder organogels. This result is consistent with the observations of polarized light microscopy. The organogels have low solid fat content at 35 °C which is close to the human body temperature, and no effect of oil type is found. The X‐ray diffraction measurements show β'‐form crystal exists in three types of organogels. The thermal properties vary in different types of organogels. The crystallization kinetics results suggest that three types of organogels crystallize by 1D and 2D mixed growth and instantaneous nucleation.Practical Applications: These findings provide in‐depth characteristics of cinnamic acid‐based organogels, which are a substitute for solid fats.
From regulation to projection: Reliance on regulatory mode in predictions about others
Authors: Woltin Karl‐Andrew , Yzerbyt Vincent Y. 
Published: January 2020

AbstractPast research showed that people project their goals onto unknown others. The present research investigates whether they also rely on their motivational orientation in terms of regulatory mode (locomotion vs. assessment). In line with work on self‐judgments, a stronger chronic personal focus on locomotion over assessment decreased predictions of others' experiences of nostalgia (Study 1) and increased predictions of others' preference for, motivation by, and evaluation of a transformational over a transactional leader (Study 2). Furthermore, an experimentally induced locomotion mode compared to an assessment mode increased peoples' predictions of others' motivation to reconcile after interpersonal conflict (Study 3). We examined process evidence via the Testing‐Process‐by‐Interaction‐Strategy: As predicted, effects only emerged under time pressure (vs. ample deliberation; Study 2) and for ingroup (vs. outgroup) members (Study 3). These findings suggest that people's regulatory mode is a basis for predicting others' reactions and preferences. We discuss implications and future research directions.