bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synthesis and Characterization of Bis‐1,2,3‐Triazole Ligand and its Corresponding Copper Complex for the Development of Electrochemical Affinity Biosensors
Authors: Kanso Hussein , Ben Jrad Amani , Inguimbert Nicolas , Rammal Wassim , Philouze Christian , Thomas Fabrice , Noguer Thierry , Calas‐Blanchard Carole 
Published: April 2021

AbstractThe bis‐triazole ligand and its corresponding copper complexes were synthesized and characterized for the first time and proposed as new labels for the development of electrochemical aptasensors. The bis‐triazole ligand was prepared from methyl 1,6‐heptadiyne‐4‐carboxylate and 2‐(azidomethyl)phenol using classical CuAAC in presence of different copper salts. The X‐ray structure of bis‐triazole showed a symmetry center (C1). UV‐Vis and X‐band EPR spectra showed that the coordination capacity of the bis‐triazole ligand was improved in the presence of triethylamine due to deprotonation of the triazole and phenolate moieties. After complexation with copper, the obtained complex was successfully attached to an anti‐estradiol aptamer through thiol‐maleimide coupling, and the resulting labelled aptamer was immobilized on a carbon screen‐printed electrode by carbodiimide coupling. The electrochemical response of the resulting sensor was shown to decrease in the presence of estradiol, demonstrating that the developed complexes can be applied for the development of aptasensors.
The Guerbet Reaction Network – a Ball‐in‐a‐Maze‐Game or: Why Ru‐MACHO‐BH is Poor in Coupling two Ethanol to n‐Butanol
Authors: Ohligschläger Andreas , van Staalduinen Nils , Cormann Carsten , Mühlhans Jan , Wurm Jan , Liauw Marcel A. 
Published: April 2021

AbstractInvited for this month's cover is the group of Marcel A. Liauw at the RWTH Aachen University (Germany). The cover picture shows a playable version of the homogeneously catalyzed Guerbet‐coupling from ethanol to n‐butanol. The 2D ball‐in‐a‐maze‐game is shown here because the reaction steps are either performed in presence of a redox catalyst (top‐down) or in presence of a base (left‐right). Both axes can be moved independently from each other and substances are connected with humps in the height of the activation barrier. Playing the game repeatedly for a defined time and writing down the outcomes (see blackboard) yields the composition of the reaction mixture at a given time. Alas, the highly active redox catalyst Ru‐MACHO shows unsatisfying yields and selectivities of n‐butanol. But why? Read the full text of their Full Paper at 10.1002/cmtd.202000056.
Outcome of patients with chronic myeloid leukemia in lymphoid blastic phase and Philadelphia chromosome–positive acute lymphoblastic leukemia treated with hyper‐CVAD and dasatinib
Authors: Morita Kiyomi , Kantarjian Hagop M. , Sasaki Koji , Issa Ghayas C. , Jain Nitin , Konopleva Marina , Short Nicholas J. , Takahashi Koichi , DiNardo Courtney D. , Kadia Tapan M. , Garcia‐Manero Guillermo , Daver Naval , Montalban Bravo Guillermo , Cortes Jorge E. , Ravandi Farhad , Jabbour Elias 
Published: April 2021

BACKGROUNDDasatinib monotherapy has demonstrated modest clinical activity in chronic myeloid leukemia in lymphoid blastic phase (CML‐LBP). The outcome of Philadelphia chromosome (Ph)–positive acute lymphoblastic leukemia (ALL) has dramatically improved with hyperfractionated cyclophosphamide, vincristine sulfate, doxorubicin hydrochloride, and dexamethasone (hyper‐CVAD) in combination with tyrosine kinase inhibitors (TKIs).METHODSThe authors reviewed 85 patients (23 with CML‐LBP and 62 with newly diagnosed Ph‐positive ALL) who received hyper‐CVAD plus dasatinib.RESULTSIn the CML‐LBP cohort, 19 had prior chronic myeloid leukemia as chronic phase (n = 17; 74%), accelerated phase (n = 1; 4%), or myeloid blastic phase (n = 1; 4%); 4 (17%) presented with de novo CML‐LBP. The BCR‐ABL1 transcript was p210 in 22 patients (96%) and p190 in 1 patient (4%). In the Ph‐positive ALL cohort, p210 and p190 transcripts were detected in 13 patients (21%) and 48 patients (77%), respectively. Patients with CML‐LBP were less likely to achieve deep molecular remission than patients with Ph‐positive ALL: the major molecular response (MMR) rates were 70% and 95%, respectively (P = .007), and the complete molecular response (CMR) rates were 55% and 74%, respectively (P = .16). Survival outcomes were similar for CML‐LBP and Ph‐positive ALL: the 5‐year overall survival (OS) rates were 59% and 48%, respectively (P = .97). Allogeneic stem cell transplantation was associated with a better outcome in CML‐LBP (5‐year OS rate, 88% vs 57%; P = .04). In Ph‐positive ALL, the outcome was driven by deeper molecular remission: the 5‐year OS rates were 63% and 25% with CMR and MMR, respectively (P = .002).CONCLUSIONSThe outcome of CML‐LBP has improved with hyper‐CVAD plus dasatinib therapy with survival comparable to that of Ph‐positive ALL. Further improvement may be achieved with the use of novel TKIs and targeted agents.
Central nervous system relapse in a child with anaplastic large cell lymphoma: potential for new therapeutic strategies
Authors: Raffa Enass H. , Branson Helen M. , Ngan Bo , Alexander Sarah , Abla Oussama 
Published: April 2021

AbstractBackgroundCentral nervous system (CNS) relapse is rare in childhood anaplastic large cell lymphoma (ALCL) and is associated with a poor prognosis.CaseWe describe an 8‐year‐old boy with ALCL who developed an early CNS relapse without initial CNS disease. Despite aggressive medical management, the patient's neurological status deteriorated rapidly and he died shortly after.ConclusionOptimal treatment for children with relapsed ALCL involving the CNS remains unclear. Novel agents, including ALK inhibitors, that have CNS‐penetration might be helpful and pediatric studies are warranted.
Product color emotional design based on a convolutional neural network and search neural network
Authors: Ding Man , Cheng Yu , Zhang Jinyong , Du Guanyi 
Published: April 2021

AbstractDue to the growing trend of social manufacturing, product design has focused on meeting the emotional needs of users. As a product attribute, color plays an important role in meeting these needs. Therefore, product color emotional design has attracted the attention of researchers. However, a user's perception of the emotional image of product color is highly complex, and it is difficult to define this perception accurately. To this end, based on the theoretical framework of Kansei engineering, this study proposes a product color emotional design method based on a convolutional neural network and a search neural network. First, we implement a semantic differential experiment to ascertain the user's color image. Then we use a convolutional neural network to establish a complex association model between the product color and the user's emotional imagery. Based on this model, the search neural network is used to search and generate the product color design scheme that meets the target image. Finally, a product color design system applicable to practical design problems is developed. An example of the design of a home service robot demonstrates that the proposed method and system provides accurate product color design solutions that meet the needs of the user's emotional image and can be used to develop practical large‐scale applications of product color emotional design theory and methods.
Heterogeneity in African savanna elephant distributions and their impacts on trees in Kruger National Park, South Africa
Authors: Abraham Joel O. , Goldberg Emily R. , Botha Judith , Staver A. Carla 
Published: April 2021

Abstract

Though elephants are a major cause of savanna tree mortality and threaten vulnerable tree species, managing their impact remains difficult, in part because relatively little is known about how elephant impacts are distributed throughout space.

This is exacerbated by uncertainty about what determines the distribution of elephants themselves, as well as whether the distribution of elephants is even informative for understanding the distribution of their impacts.

To better understand the factors that underlie elephant impacts, we modeled elephant distributions and their damage to trees with respect to soil properties, water availability, and vegetation in Kruger National Park, South Africa, using structural equation modeling.

We found that bull elephants and mixed herds differed markedly in their distributions, with bull elephants concentrating in sparsely treed basaltic sites close to artificial waterholes and mixed herds aggregating around permanent rivers, particularly in areas with little grass.

Surprisingly, we also found that the distribution of elephant impacts, while highly heterogeneous, was largely unrelated to the distribution of elephants themselves, with damage concentrated instead in densely treed areas and particularly on basaltic soils.

Results underscore the importance of surface water for elephants but suggest that elephant water dependence operates together with other landscape factors, particularly vegetation community composition and historical management interventions, to influence elephant distributions.
Image sensor with hybrid emission filter for in vivo fluorescent imaging
Authors: Sasagawa Kiyotaka , Rustami Erus , Ohta Yasumi , Haruta Makito , Takehara Hironari , Tashiro Hiroyuki , Ohta Jun 
Published: April 2021

AbstractIn this paper, we report a method of fabricating an implantable image sensor equipped a bandpass hybrid filter for highly sensitive fluorescence observation. A hybrid filter that combines an interference filter and an absorption filter enables a high excitation light removal performance in an implantable image sensor that does not use a lens. In this study, a thin hybrid filter was successfully mounted on the image sensor using the transfer method by using a laser lift‐off technique. The transferred filter has no crack. It was demonstrated that the prototype device exhibited high excitation light removal performance and was able to acquire a fluorescent image with high contrast.
Human Exposures to Neonicotinoids in Kumasi, Ghana
Authors: Nimako Collins , Ikenaka Yoshinori , Akoto Osei , Bortey-Sam Nesta , Ichise Takahiro , Nakayama Shouta M.M. , Asante Kwadwo A. , Fujioka Kazutoshi , Taira Kumiko , Ishizuka Mayumi 
Published: April 2021

Abstract
Neonicotinoid insecticides (NNIs) are now popular in many agricultural systems across Africa; however, the extent of human exposures to NNIs in African countries is scarcely reported. The present study evaluates neonicotinoid exposures in the consumer population of Kumasi, a cosmopolitan city in Ghana. A total of 75 human urine samples were collected from healthy volunteers (nonfarmers, aged 13–80 yr) and analyzed with a liquid chromatography electrospray ionization tandem mass spectrometry system. Seven NNIs and 3 NNI metabolites were detected in the following pattern (frequency, median concentration, maximum concentration): N-dm-acetamiprid (94.7%, 0.41 µg/L, 8.79 µg/L) &gt; imidacloprid (70.7%, 0.15 µg/L, 211.62 µg/L) &gt; N-(6-chloro-3-pyridylmethyl)-N-ethyl-N′-methylformamidine (62.2%, 0.43 µg/L, 53.85 µg/L) &gt; 2-[N-(6-chloro-3-pyridylmethyl)-N-ethylamino]-2-(methylimino)acetic acid (56.8%, 0.10 µg/L, 3.53 µg/L) &gt; clothianidin (40%, &gt;limit of quantification [LOQ], 0.45 µg/L) &gt; nitenpyram (18.7%, &gt;LOQ, 0.14 µg/L) ≈ thiamethoxam (18.7%, &gt;LOQ, 0.21 µg/L) &gt; dinotefuran (12.0%, &gt;LOQ, 1.01 µg/L) &gt; acetamiprid (2.7%, &gt;LOQ, 0.08 µg/L) ≈ thiacloprid (2.7%, &gt;LOQ, 0.14 µg/L). Approximately 92% of the subjects were found to be exposed to multiple neonicotinoids simultaneously. The mean, median, and maximum imidacloprid equivalent of the relative potency factor of NNIs were found to be 1.6, 0.5, and 22.52, respectively. The median estimated daily intakes of acetamiprid, imidacloprid, and nitenpyram were 0.47, 1.27, and 0.02 µg/kg/d for females and 0.91, 0.66, and 0.08 µg/kg/d for males, respectively. The maximum daily intakes of all the NNIs were &lt;1% of their chronic reference doses (cRfDs), except for imidacloprid and thiacloprid which recorded maximum daily intakes corresponding to 17.97 and 8.28% of cRfDs, respectively. To the best of our knowledge, the present study is the first biomonitoring report on neonicotinoid insecticides in Africa. Environ Toxicol Chem 2021;40:2306–2318. © 2021 SETAC
An intelligent collaborative inference approach of service partitioning and task offloading for deep learning based service in mobile edge computing networks
Authors: Li Xuejing , Qin Yajuan , Zhou Huachun , Zhang Zhewei 
Published: April 2021

AbstractAs the rapid evolution of smart devices and real‐time applications, many new kinds of computation‐intensive services have been emerged successively and the corresponding requirements have been growing dramatically. Extended from cloud computing, mobile edge computing (MEC) is a novel technology which can provide powerful computing resource at the proximity of resource‐restrained mobile devices. Thus, it enables collaboration between edge server and mobile device, which can improve the quality of experience for users. In this article, we propose an intelligent collaborative inference (ICI) approach for real‐time computation‐intensive services in MEC network, which can achieve intelligent service partitioning and partial task offloading. Since machine learning algorithms have been applied in many applications with the advancement of big data and computing power, we focus on the services based on deep‐learning. Particularly, we research a service based on Pose‐Net model to achieve human pose estimation in the field of computer vision. And we design relevant ICI algorithm to achieve fine‐grained video stream processing in consideration of video service requirement, deep neural network (DNN) model structure, mobile device capability, wireless network condition, and cooperative server workload. Based on Python programming language and TensorFlow library, we test the ICI approach with some practical simulation parameters on real hardware platforms. The experiment results show that the presented ICI approach have superior performance in terms of service frame rate and client energy consumption than other benchmark approaches.
Permeability evolution in tectonic coal: The roles of moisture and pressurized water‐injection
Authors: Yanfei Kang , Jinyang Fan , Peng Liu , Junsheng Du , Deyi Jiang 
Published: April 2021

AbstractWater often influences the exploitation of Coalbed methane (CBM) as well as the hydraulically enhanced permeability; it is therefore useful to objectively quantify the permeation properties of a CBM reservoir with different moisture contents. Based on the occurrence of CBM and the laws governing gas flow in CBM reservoirs, gas seepage experiments were carried out on the coal collected from the Baijiao mine in Sichuan, China. Various moisture contents were evaluated using natural coal samples, dry coal samples heated in an oven for various periods, and coal samples wet by soaking them in different pressure water under a constant effective confining stress. Results showed that: (1) The coal moisture decreased gradually with the drying time and increased with the soaking time. When coal is soaked in high pressure water (5–20 MPa), the moisture content in coal will increase from 2.60 to 3.85% with the increasing of water pressure. (2) The permeability of soaked coal decreased with the increasing of gas pressure, while the permeability of natural coal firstly decreased and then increased with the pore pressure decrease. (3) For the coal with higher moisture contents, gas permeability is more sensitive to the reduction of pore pressure, which may be due to the alteration of fracture structure induced by high‐pressure water injection. (4) Moisture content of coal affects the slippage effect in coal pores, and a higher moisture in coal will result in the decrease effective pore throat, incurring a stronger slippage flow and a higher apparent permeability of coal. © 2021 Society of Chemical Industry and John Wiley & Sons, Ltd.
Human Factors and Ergonomics and the management of existential threats: A work domain analysis of a COVID‐19 return from lockdown restrictions system
Authors: Salmon Paul M. , Stevens Nicholas , McLean Scott , Hulme Adam , Read Gemma J. M. 
Published: April 2021

AbstractFollowing strict “lockdown” restrictions designed to control the spread of the COVID‐19 virus, many jurisdictions are now engaged in a process of easing restrictions in an attempt to stimulate economic and social activity while continuing to suppress virus transmission. This is challenging and complex, and in several regions, new outbreaks have emerged. We argue that systems Human Factors and Ergonomics methods can assist in understanding and optimizing the return from lockdown. To demonstrate, we used work domain analysis to develop an abstraction hierarchy model of a generic “return from lockdown restrictions” system. The model was assessed to identify (a) issues preventing a successful return from lockdown; and (b) leverage points that could be exploited to optimize future processes. The findings show that the aim of continuing to suppress virus transmission conflicts with the aims of returning to pre‐virus economic and social activity levels. As a result, many functions act against each other, ensuring that the system cannot optimally achieve all three of its primary aims. Potential leverage points include modifying the goals and rules of the system and enhancing communications and feedback. Specifically, it is argued that moderating economic aims and modifying how social and community activities are undertaken will result in longer term suppression of the virus.
Drying increases organic colloidal mobilization in the karst vadose zone: Evidence from a 15‐year cave‐monitoring study
Authors: Liao Jin , Hu Chaoyong , Li Xiuli , Ruan Jiaoyang 
Published: April 2021

AbstractUnderstanding the hydrological processes of colloids within the karst vadose zone is vital to the security of karst groundwater and providing appropriate paleohydrological explanations of colloid‐facilitated metals in speleothem. This study addresses the mobilization mechanisms driving colloidal organic matter (COM) transport in the karst vadose zone using a 15‐year long monthly monitoring dataset from a cave drip point (HS4) in Heshang Cave, Qingjiang Valley, China. Variations in COM concentrations were reported as the fluorescence difference values of raw and filtered (<0.22 μm) samples at an excitation wavelength of 320 nm and emission wavelength of ~400 nm. A fluorescence humification index (HIX) lower than 0.8 and an autochthonous index (BIX) higher than 1.2 indicated that the origin of COM was mainly from the karst vadose zone, rather than the soil zone. The COM concentration varied from 0.001 to 0.038 Raman Unit (RU), with evident seasonal fluctuations. Rising limbs for COM values occurred prior to rising limbs within a dripwater hydrograph; moreover, the COM peak values corresponding to the beginning of the increasing hydrograph generally suggested that the mobilization of COM reflected the movement of the air–water interface (AWI) in the karst vadose zone rather than rainfall intensity or flow velocity. COM peak values were positively correlated with the antecedent drying duration and negatively correlated with HIX values. These phenomena may be explained by the increased amount of organic matter that was aggregated and absorbed on the surface of carbonate in the karst vadose zone during a longer drying duration. Moreover, the longer drying duration was also beneficial to autochthonous biological activity, which subsequently decreased the HIX value of the organic matter in the karst vadose zone. The movement of AWI and the drying duration are both controlled by the outside weather conditions. This study is therefore conducive to evaluating the security of karst groundwater in response to climate change, and challenges prevailing paleoclimate interpretations of colloid‐facilitated metal abundance timeseries reported from speleothems.
Is euro area lowflation here to stay? Insights from a time‐varying parameter model with survey data
Authors: Stevens Arnoud , Wauters Joris 
Published: April 2021

SummaryWe build a time‐varying parameter model that jointly explains the dynamics of euro area inflation and inflation expectations. Our goal is to explain the weak inflation during the post‐financial crisis economic recovery of 2013–2019. We find that the inclusion of survey data leads to a more muted decline of trend inflation in recent years and more economic slack. Moreover, the impact of economic slack and import prices on inflation has recently strengthened, and survey respondents updated their beliefs more actively over the financial crisis period. Our model compares well against restricted specifications in terms of forecast performance and marginal likelihood.
In vitro comparison of harvesting site effects on cardiac extracellular matrix hydrogels
Authors: Mulvany Emily , McMahan Sara , Xu Jiazhu , Yazdani Narges , Willits Rebecca , Liao Jun , Zhang Ge , Hong Yi 
Published: April 2021

AbstractCardiac extracellular matrix (cECM) derived hydrogel has been investigated to treat myocardial infarction through animal studies and clinical trials. The tissue harvesting site commonly selects porcine left ventricle (LV) because heart attack majorly takes place in LV. However, little is known about whether the region of cardiac tissue harvesting is critical for downstream applications. In this work, in vitro studies to compare cECM hydrogels derived from adult porcine whole heart (WH), LV, and right ventricle (RV) were performed. The cECM from WH has similar chemical composition compared with cECM from LV and RV. All three types of cECM hydrogels share many similarities in terms of their microstructure, gelation time, and mechanical properties. WH‐derived cECM hydrogels have larger variations in storage modulus (G′) and complex modulus (G*) compared with the other two types of cECM hydrogels. Both human cardiomyocytes and mesenchymal stem cells could maintain high cell viability on all hydrogels without significant difference. In terms of above results, the cECM hydrogels from WH, LV and RV exhibited similarity in material properties and cell response in vitro. Thus, future fabrication of cECM hydrogels from WH would increase the yield, which would decrease processing time and production cost.
The Inspired Life Program: Development of a multicomponent positive psychology intervention for rural adults in Ghana
Authors: Appiah Richard , Wilson Fadiji Angelina , Wissing Marié P. , Schutte Lusilda 
Published: April 2021

AbstractAlthough several theories and studies have explored human strengths and mental well‐being at the global level, these insights are rarely tested and translated into practice in sub‐Saharan Africa. This study aims to describe the development of a 10‐session multicomponent positive psychology intervention, the Inspired Life Program (ILP), designed to promote mental health and reduce symptoms of depression and negative affect in rural adults in Ghana. Guided by the Medical Research Council's framework for developing complex interventions, a seven‑step iterative community‐based participatory research approach was adopted to develop the ILP, based on constructs and principles of positive psychology and cognitive‐behavioral model. The final intervention components included a 10‐session, two‐hourly, once‐weekly manualized program designed to promote meaningful and purposeful living, self‐acceptance, personal growth, goal‐setting and problem‐solving skills, and positive thinking through group discussion and activity sessions. We describe the program theory and implementation strategy of the final intervention, and reflect on the challenges and lessons learned from applying this framework in the study context. The development of strengths‐based interventions and practicality of methods to promote positive mental health in rural adults are feasible, and have important policy implications for mental health and social care in sub‐Saharan Africa.