bluuebunny/crossref_metadata_2025_split huggingface dataset:
Venetoclax in association with decitabine as effective bridge to transplant in a case of relapsed early T‐cell lymphoblastic leukemia
Authors: Zappone Elisabetta , Cencini Emanuele , Defina Marzia , Sicuranza Anna , Gozzetti Alessandro , Ciofini Sara , Raspadori Donatella , Mecacci Bianca , Bocchia Monica 
Published: July 2020

AbstractA case of an early‐relapsed high‐risk T‐ALL with high BCL‐2 expression on leukemic blasts was successfully treated with decitabine and venetoclax, achieving a CR. We suggest decitabine and venetoclax should be synergistic in BCL2‐positive ALL.
Trace Iridium Engineering on Nickel Hydroxide Nanosheets as High‐active Catalyst for Overall Water Splitting
Authors: Tong Yun , Mao Hainiao , Sun Qiong , Chen Pengzuo , Yan Fei , Liu Jiyang 
Published: July 2020

AbstractDesigning cost‐effective electrocatalysts for electrochemical water splitting to generate the hydrogen energy as a future energy source is pivotal. An excellent catalyst should show high catalytic activity for both hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) under different pH conditions. Here, we highlighted a high‐efficient catalyst of Ir‐doped Ni(OH)2 nanosheets grown on Ni foam (Ir−Ni(OH)2/NF) as a high‐efficient catalyst for overall water splitting in both alkaline and neutral conditions via a simple one‐step hydrothermal strategy. The optimized Ir3−Ni(OH)2/NF shows superior HER and OER activity in neutral and alkaline electrolytes. The doped Ir ions can not only serve as catalytic sites for water dissociation, but also decrease the charge density of the adjacent bridge oxygen to facilitate HER kinetics. As a result, Ir3−Ni(OH)2/NF electrolyzer exhibits superior performance of a small potential of 1.64 V under neutral condition, which is obviously lower than that of a string of recently reported neutral‐pH electrocatalysts.
Flexible Zn‐ion batteries based on manganese oxides: Progress and prospect
Authors: Gao Xingyuan , Zhang Haozhe , Liu Xiaoqing , Lu Xihong 
Published: July 2020

AbstractThe ever‐growing market of wearable electronic devices has greatly stimulated the rapid development of flexible Zn‐ion batteries (ZIBs). Manganese oxides are one of the most commonly used hosts for zinc ion accommodation and thus receive particular research interest for high‐performance flexible ZIB constructions. In this review, a comprehensive summary of the recent development of flexible ZIBs with manganese oxides as cathode materials is presented. Apart from the brief introduction of flexible electronic devices and ZIBs, the charge storage mechanisms and crystal structures of various manganese oxides are summarized. Modifications of the cathode materials in terms of morphology, conductivity, structures, and flexibilities are illustrated in detail, together with the demonstration of structure‐performance relationships and applications in flexible ZIBs. Finally, limitations to be overcome are indicated and the future work directions are proposed.
Trivalent Rare‐Earth Metal Amide Complexes as Catalysts for the Hydrosilylation of Benzophenone Derivatives with HN(SiHMe2)2 by Amine‐Exchange Reaction
Authors: Shinohara Koichi , Tsurugi Hayato , Anwander Reiner , Mashima Kazushi 
Published: July 2020

AbstractThe rare‐earth metal complexes Ln(L1)[N(SiHMe2)2](thf) (Ln=La, Ce, Y; L1=N,N′′‐bis(pentafluorophenyl)diethylenetriamine dianion) were synthesized by treating Ln[N(SiHMe2)2]3(thf)2 with L1H2. The lanthanum and cerium derivatives are active catalysts for the hydrosilylation of benzophenone derivatives with HN(SiHMe2)2. An amine‐exchange reaction was revealed as a key step of the catalytic cycle, in which Ln−Si−H β‐agostic interactions are proposed to promote insertion of the carbonyl moiety into the Si−H bond.
Supramolecular Sensor for Astringent Procyanidin C1: Fluorescent Artificial Tongue for Wine Components
Authors: Sasaki Yui , Ito Satoshi , Zhang Zhoujie , Lyu Xiaojun , Takizawa Shin‐ya , Kubota Riku , Minami Tsuyoshi 
Published: July 2020

AbstractAn artificial tongue that detects astringent components for a comprehensive evaluation of taste has not been established to date. Herein, we first propose fluorescent polythiophene (PT) derivatives (S1–S3) modified with 3‐pyridinium boronic acid as supramolecular chemosensors for wine components including astringent procyanidin C1. After numerous attempts for the synthetic conditions, more than 95 mol % of the PT unit was modified with the pyridinium boronic acid moiety. To evaluate the PT derivatives as chemosensors of the artificial tongue, qualitative and quantitative analyses were performed with four types of wine components (i.e., sweet, sour, bitter, and astringent tastes) in combination with pattern recognition models. Notably, procyanidin C1 in the actual wine sample was successfully detected in a quantitative manner. In other words, we have established an authentic artificial tongue using PT based supramolecular chemosensors.
Phosphorescent Cationic Heterodinuclear IrIII/MI Complexes (M=CuI, AuI) with a Hybrid Janus‐Type N‐Heterocyclic Carbene Bridge
Authors: Bonfiglio Anna , Pallova Lenka , César Vincent , Gourlaouen Christophe , Bellemin‐Laponnaz Stéphane , Daniel Chantal , Polo Federico , Mauro Matteo 
Published: July 2020

AbstractA novel class of phosphorescent cationic heterobimetallic IrIII/MI complexes, where MI=CuI (4) and AuI (5), is reported. The two metal centers are connected by the hybrid bridging 1,3‐dimesityl‐5‐acetylimidazol‐2‐ylidene‐4‐olate (IMesAcac) ligand that combines both a chelating acetylacetonato‐like and a monodentate N‐heterocyclic carbene site coordinated onto an IrIII and a MI center, respectively. Complexes 4 and 5 have been prepared straightforwardly by a stepwise site‐selective metalation with the zwitterionic [(IPr)MI(IMesAcac)] metalloproligand (IPr=1,3‐(2,6‐diisopropylphenyl)‐2H‐imidazol‐2‐ylidene) and they have been fully characterized by spectroscopic, electrochemical, and computational investigation. Complexes 4 and 5 display intense red emission arising from a low‐energy excited state that is located onto the “Ir(C^N)” moiety featuring an admixed triplet ligand‐centered/metal‐to‐ligand charge transfer (3IL/1MLCT) character. Comparison with the benchmark mononuclear complexes reveals negligible electronic coupling between the two distal metal centers at the electronic ground state. The bimetallic systems display enhanced photophysical properties in comparison with the parental congeners. Noteworthy, similar non‐radiative rate constants have been determined along with a two‐fold increase of radiative rate, yielding brightly red‐emitting cyclometalating IrIII complexes. This finding is ascribed to the increased MLCT character of the emitting state in complexes 4 and 5 due to the smaller energy gap between the 3IL and 1MLCT manifolds, which mix via spin–orbit coupling.
Women on corporate boards and sustainable development in the American and European markets: Is there a limit to gender policies?
Authors: Valls Martínez María del Carmen , Martín Cervantes Pedro Antonio , Cruz Rambaud Salvador 
Published: July 2020

AbstractMany European countries enacted laws to promote effective gender equality in management positions. Moreover, investors increasingly consider the sustainable valuation of companies in their portfolio selection. Previous research demonstrates the positive relationship between female directors and corporate social performance. The aim of this study is twofold: we examine the extent to which this relationship remains positive according to the level of gender diversity and compare the behaviour in American and European markets, considering that the US has no gender quota. We apply a panel data methodology, with fixed effects, to examine companies listed in the S&P 500 and Euro Stoxx 300 indices during 2015–2019. The results show the increasing influence of women directors up to a limit, both in the American and European markets, and this influence is higher in Europe. This result implies that gender‐diverse boards are favourable to the sustainable behaviour of companies. Therefore, policymakers should promote gender policies.
Comparison of malignancy‐prediction efficiency between contrast and non‐contract CT‐based radiomics features in gastrointestinal stromal tumors: A multicenter study
Authors: Zhang Qing‐Wei , Zhou Xiao‐Xuan , Zhang Ran‐Ying , Chen Shuang‐Li , Liu Qiang , Wang Jian , Zhang Yan , Lin Jiang , Xu Jian‐Rong , Gao Yun‐Jie , Ge Zhi‐Zheng 
Published: July 2020

AbstractThis work seeks the development and validation of radiomics signatures from nonenhanced computed tomography (CT, NE‐RS) to preoperatively predict the malignancy degree of gastrointestinal stromal tumors (GISTs) and the comparison of these signatures with those from contrast‐enhanced CT. A dataset for 370 GIST patients was collected from four centers. This dataset was divided into cohorts for training, as well as internal and external validation. The minimum‐redundancy maximum‐relevance algorithm and the least absolute shrinkage and selection operator (LASSO) algorithm were used to filter unstable features. (a) NE‐RS and radiomics signature from contrast‐enhanced CT (CE‐RS) were built and compared for the prediction of malignancy potential of GIST based on the area under the receiver operating characteristic curve (AUC). (b) The radiomics model was also developed with both the tumor size and NE‐RS. The AUC values were comparable between NE‐RS and CE‐RS in the training (.965 vs .936; P = .251), internal validation (.967 vs .960; P = .801), and external validation (.941 vs .899; P = .173) cohorts in diagnosis of high malignancy potential of GISTs. We next focused on the NE‐RS. With 0.185 selected as the cutoff of NE‐RS for diagnosis of the malignancy potential of GISTs, accuracy, sensitivity, and specificity for diagnosis high‐malignancy potential GIST was 90.0%, 88.2%, and 92.3%, respectively, in the training cohort. For the internal validation set, the corresponding metrics are 89.1%, 94.9%, and 80.0%, respectively. The corresponding metrics for the external cohort are 84.6%, 76.1%, and 91.0%, respectively. Compared with only NE‐RS, the radiomics model increased the sensitivity in the diagnosis of GIST with high‐malignancy potential by 5.9% (P = .025), 2.5% (P = .317), 10.5% (P = .008) for the training set, internal validation set, and external validation set, respectively. The NE‐RS had comparable prediction efficiency in the diagnosis of high‐risk GISTs to CE‐RS. The NE‐RS and radiomics model both had excellent accuracy in predicting malignancy potential of GISTs.
Exploiting IP‐layer traffic prediction analytics to allocate spectrum resources using swarm intelligence
Authors: Kyriakopoulos Constantine , Nicopolitidis Petros , Papadimitriou Georgios , Varvarigos Emmanouel 
Published: July 2020

SummaryElastic optical networks emerge as a reliable backbone platform covering the next‐generation connectivity requirements. It consists of advanced enabling components that provide the ability for extensive configuration leading to performance improvement in many areas of interest. Higher layer analytics like data from IP traffic prediction can assist in the process of allocating resources at the optical layer. This way, light connections are established more efficiently while targeting specific performance goals. For that purpose, an algorithm is designed and evaluated that exploits traffic prediction of data transfers between nodes of an optical metro or backbone network. Next, it utilizes adaptive functionality based on particle swarm optimization to find paths with available spectrum resources. These resources can facilitate more efficiently the future traffic demand, since traffic prediction data are considered when finding the related paths. The innovative resource allocation method is evaluated using small and very large real topologies. It scales (in execution time and resource usage) according to node increase, executes in feasible time frames, and reduces transponder utilization resulting to increased energy efficiency.
Meta‐replication, sampling bias, and multi‐scale model selection: A case study on snow leopard (Panthera uncia) in western China
Authors: Atzeni Luciano , Cushman Samuel A. , Bai Defeng , Wang Jun , Chen Pengju , Shi Kun , Riordan Philip 
Published: July 2020

AbstractReplicated multiple scale species distribution models (SDMs) have become increasingly important to identify the correct variables determining species distribution and their influences on ecological responses. This study explores multi‐scale habitat relationships of the snow leopard (Panthera uncia) in two study areas on the Qinghai–Tibetan Plateau of western China. Our primary objectives were to evaluate the degree to which snow leopard habitat relationships, expressed by predictors, scales of response, and magnitude of effects, were consistent across study areas or locally landcape‐specific. We coupled univariate scale optimization and the maximum entropy algorithm to produce multivariate SDMs, inferring the relative suitability for the species by ensembling top performing models. We optimized the SDMs based on average omission rate across the top models and ensembles’ overlap with a simulated reference model. Comparison of SDMs in the two study areas highlighted landscape‐specific responses to limiting factors. These were dependent on the effects of the hydrological network, anthropogenic features, topographic complexity, and the heterogeneity of the landcover patch mosaic. Overall, even accounting for specific local differences, we found general landscape attributes associated with snow leopard ecological requirements, consisting of a positive association with uplands and ridges, aggregated low‐contrast landscapes, and large extents of grassy and herbaceous vegetation. As a means to evaluate the performance of two bias correction methods, we explored their effects on three datasets showing a range of bias intensities. The performance of corrections depends on the bias intensity; however, density kernels offered a reliable correction strategy under all circumstances. This study reveals the multi‐scale response of snow leopards to environmental attributes and confirms the role of meta‐replicated study designs for the identification of spatially varying limiting factors. Furthermore, this study makes important contributions to the ongoing discussion about the best approaches for sampling bias correction.
Quantifying Source Apportionment, Co-occurrence, and Ecotoxicological Risk of Metals from Upstream, Lower Midstream, and Downstream River Segments, Bangladesh
Authors: Towfiqul Islam Abu Reza Md. , Hasanuzzaman Md. , Touhidul Islam H.M. , Mia Md. Uzzal , Khan Rahat , Habib Md. Ahosan , Rahman Md. Mostafizur , Siddique Md. Abu Bakar , Moniruzzaman Md. , Rashid Md. Bazlar 
Published: July 2020

Abstract
The positive matrix factorization (PMF) receptor model was used for the first time to quantify the source contributions to heavy metal pollution of sediment on a national basin scale in the upstream, midstream, and downstream rivers (Teesta and Kortoya-Shitalakkah and Meghna-Rupsha and Pasur) of Bangladesh. The metal contamination status, co-occurrence, and ecotoxicological risk were also investigated. Sediment samples were collected from 30 sites at a depth range of 0 to 20 cm for analysis of 9 metals using inductively coupled plasma–mass spectrometry. The mean concentrations of metals varied for upstream, lower midstream, and downstream river segments. The results showed that chromium (Cr) exhibited a strong significant co-occurrence network with other metals (e.g., manganese [Mn], iron [Fe], and nickel [Ni]). Monte Carlo simulation results of the geo-accumulation index (Igeo; 63.3%) and risk indices (48.5%) showed that cadmium (Cd) was the main contributor to sediment pollution. However, the cumulative probabilities of sediments being polluted by metals were ranked as “moderate to heavily polluted” (Igeo 46.6%; risk index 16.7%). Toxicity unit results revealed that zinc (Zn) and Cd were the key toxic contributors to sediments. The PMF model predicted metal concentrations and identified 4 potential sources. The agricultural source (factor 1) mostly contributed to copper (Cu; 78.9%) and arsenic (As; 62.8%); Ni (96.9%) and Mn (83.5%) exhibited industrial point sources (factor 2), with 2 hot spots in northwestern and southwestern regions. Cadmium (93.5%) had anthropogenic point sources (factor 3), and Fe (64.3%) and Cr (53.5%) had a mixed source (factor 4). Spatially, similar patterns between PMF apportioning factors and predicted metal sources were identified, showing the efficiency of the model for river systems analysis. The degree of metal contamination in the river segments suggests an alarming condition for biotic components of the ecosystem. Environ Toxicol Chem 2020;39:2041–2054. © 2020 SETAC
Abstract
Schematic diagram of possible source apportionment of metals in sediments from the upstream, lower midstream, and downstream river systems in Bangladesh.
Value‐at‐risk forecasting via dynamic asymmetric exponential power distributions
Authors: Ou Lu , Zhao Zhibiao 
Published: July 2020

AbstractIn the value‐at‐risk (VaR) literature, many existing works assume that the noise distribution is the same over time. To take into account the potential time‐varying dynamics of stock returns, we propose a dynamic asymmetric exponential distribution‐based framework. The new method includes a time‐varying shape parameter to control the dynamic shape of the distribution, a time‐varying probability parameter to control the dynamic proportion of positive returns, and a time‐varying scale parameter to control the dynamic volatility. We combine the generalized method of moments and the exponentially weighted moving average (EWMA) approach to derive specifications for these time‐varying parameters. Empirical applications demonstrate the superior performance of the proposed method when compared with various GARCH and EWMA approaches without time variation in the innovations.
A quantitative survey of consumer perceptions of smart food packaging in China
Authors: Li Ting , Lloyd Kayna , Birch John , Wu Xiaomeng , Mirosa Miranda , Liao Xiaojun 
Published: July 2020

AbstractThis study quantified the acceptability of smart food packaging technologies and determined their associations with sociodemographic, attitudinal, and behavioral characteristics of consumers in China. Two quantitative surveys were conducted using an intercept method in Beijing with one for intelligent food packaging and the other for active food packaging. Chi‐square tests of independence and contingency tables were used to determine the acceptability of smart food packaging and significant associations with multiple variables. Smart packaging was accepted by 56% of participants in both surveys. Marital status and employment status were associated with the acceptance of active packaging, while consumer interactions with current food packaging were associated with the acceptance of intelligent packaging. Acceptance of both active and intelligent packaging was associated with trust in multiple institutions. This study is the first to provide broad information about Chinese consumers' acceptance of smart packaging technologies for food products. Findings from this research can contribute to further detailed consumer studies in product‐specific packaging designs.
“There's more than meets the eye”: Developing an integrated archaeological approach to reconstruct human–environment dynamics in the Pontine marshes (Lazio, Central Italy)
Authors: Tol Gijs , de Haas Tymon , Sevink Jan , Schepers Mans , Ullrich Burkart , de Neef Wieke 
Published: July 2020

AbstractIn this article, we present the results of a pilot study that adopts an interdisciplinary off‐site approach combining detailed surface survey, remote sensing analyses, geophysical prospections, geoarchaeological investigations and palaeoenvironmental analyses to investigate long‐term human‐environment interactions in the Pontine plain (Lazio, Central Italy). Focusing on a small study area just north of the ancient Roman way station ofAd Medias, in the middle of this former wetland, the developed integrated approach turned out to be very much successful, providing additional information on (a) the interpretation of the surface record in light of landscape and environmental dynamics, (b) the exposure of “hidden landscapes” that date from before the Roman phase of exploitation that is well‐attested in the surface archaeological record, and (c) the texture of this Roman landscape, allowing for a more accurate interpretation of both mapped surface materials and the wider context in which these surface sites were set.
Insights into Mercury Source Identification and Bioaccumulation Using Stable Isotope Approaches in the Hannibal Pool of the Ohio River, USA
Authors: Janssen Sarah E , Patnode Kathleen A , Pluta Bruce R , Krabbenhoft David P 
Published: July 2020

Abstract
Mercury contamination in river systems due to historic and current Hg releases is a persistent concern for both wildlife and human health. In larger rivers, like the Ohio River, USA, it is difficult to directly link Hg discharges to bioaccumulation due to the existence of multiple industrial Hg sources as well as the varied dietary and migratory habits of biota. To better understand how industrial effluent influences the cycling and bioaccumulation of Hg within the Ohio River, Hg stable isotope analysis was applied to various nonbiological and biological media. High Hg concentrations in suspended particulate matter suggest this vector was the largest contributor of Hg to the water column, and distinct Hg source signatures were observed in effluent particulates from different industrial processes, such as chlor-alkali activity (δ202Hg = −0.52‰) and coal power plant discharge (δ202Hg = −1.39‰). Despite this distinction, average sediments (δ202Hg = −1.00 ± 0.23‰) showed intermediate isotopic signatures that suggest the accumulation of a mixed Hg source driven by multiple industrial discharges. Biota in the system were shown to have a conserved range of δ202Hg and estimation approaches related these signatures back to particulate matter within Hannibal Pool. Mussels were found to conserve Hg isotopes signatures independently of food web drivers and served as ideal water column indicators of bioaccumulated Hg sources. This study highlights the complexity of Hg cycling within an industrialized river and shows that an isotope tracer approach can provide insight to water column sources of Hg. Integr Environ Assess Manag 2021;17:233−242. Published 2020. This article is a US Government work and is in the public domain in the USA.
KEY POINTS
Mercury in the Ohio River, USA, was predominantly bound to particulates in the water column, which were isotopically distinct between chlor-alkali and coal processing facilities. Sediments displayed an intermediate Hg isotope signature, indicating the preservation of multiple industrial sources within the Ohio River. Isotope compositions in mussels were closely connected to water column transformations of Hg and were not strongly influenced by food web factors, making these species good indicators of Hg sources. Isotopic compositions of biological tissues were similar to those of suspended particulate matter, suggesting the bioaccumulation of industrial sources in the water column.