bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hydropoetics: The rewor(l)ding of rivers
Authors: Ryan John Charles 
Published: August 2021

AbstractValued in utilitarian terms as channels for industry, agriculture, and urban development, rivers are among the most biodiverse yet degraded ecosystems globally. In addition to pragmatic conservation measures, the long‐term wellbeing of rivers requires new perspectives on human–water relations that call attention to—and nurture—the cultural, social, and spiritual significance of riverscapes. Drawing from current thinking in the interdisciplinary environmental humanities, this article proposes the idea ofhydropoeticsas an outlook on rivers based on the ancient idea ofpoiesis. On a planet undergoing rapid environmental change, three features—embodiment, relationality, and multiscalarity—are important to a hydropoetics attuned to the urgencies of the present. Asserting the capacities of rivers themselves, this framework is developed in reference to contemporary poetry narrating human interdependencies with rivers, including poems by Indonesian, Papua New Guinean, Australian, and British writers. Rather than presuming togive voice torivers, the framework developed in this article recognizes the inherent language of rivers and, in this way, presents a medium to hear their voice(s). Through the transformative capacity of language—new words, new worlds—hydropoetics inspires new visions of rivers inspiring openness to rivers as they exist as well as in their potential to emerge and transform.
Anticancer Potential of Albumin Bound Wnt/β‐Catenin Pathway Inhibitor Niclosamide in Breast Cancer Cells
Authors: Ari Ferda , Erkisa Merve , Pekel Gonca , Erturk Elif , Buyukkoroglu Gulay , Ulukaya Engin 
Published: August 2021

AbstractAlbumin‐based nanoparticle transport systems (nab‐technology) are a new strategy in cancer treatment and we aimed to increase the effectiveness of Niclosamide using this technology. Niclosamide was bound with bovine serum albumin (BSA) by desolvation to yield nanoparticle albumin‐bound Niclosamide (nab‐Niclo). Nab‐Niclo anticancer activity was assessed by proliferation, apoptosis and DNA damage analyses on breast cancer cells. The results implied that nab‐Niclo was a more potent agent in the inhibition of cell viability than free Niclosamide and albumin. Flow cytometry analysis show that nab‐Niclo triggered apoptosis by caspase and mitochondria‐dependent pathways in cells and nab‐Niclo enhances apoptosis by induce DNA damage in cells. Overall results of this study showed that the nanoparticle form of Niclosamide is effective for breast cancer treatment, presenting a new treatment strategy that can be safe and effective for breast cancer patients.
Life course trajectories of chronic financial strain and acute stress reactivity: Steeling in response to recovery from strain
Authors: Klopack Eric T. , Wickrama Kandauda A. S. , Simons Ronald L. 
Published: August 2021

AbstractThe steeling hypothesis suggests experiencing moderate strain may improve an individual's ability to cope with future strain, whereas crisis theory suggests that experiencing temporary strain will reduce the effect of future strain. The current study improves on past research by utilizing data from two independent prospective panel studies (one of 553 white rural Midwesterner women and 451 men and one of 624 African American women) spanning 26 and 22 years, respectively. We utilize growth mixture modeling to identify latent groups based on trajectories of financial strain and test interactions between class membership and later acute stressful events on chronic illness and physical health using three subscales from the RAND SF‐12. We find being a group that experienced a period of temporary strain weakened the effect of later acute stressors on physical health for both samples and chronic illness for the African American sample. Results support crisis theory and highlight the importance of considering chronic strain as a life course process.
Making Space for Multilingualism: Using Translanguaging Pedagogies to Disrupt Monolingual Language Ideologies within a Culturally Responsive Kindergarten Curriculum
Authors: McClain Janna Brown , Schrodt Katie 
Published: August 2021

AbstractMonolingual language ideologies marginalize the language resources of multilingual students in English‐dominant classrooms. A teacher shares her experience of learning to leverage kindergarten students’ full linguistic repertoires. Translanguaging pedagogies allowed children to demonstrate their linguistic knowledge, provide authentic accounts of their own personal experience, and connect with family and community resources.
Antimicrobial resistance profiles of bacteria associated with lower respiratory tract infections in cats and dogs in England
Authors: Mavrides Daphne E. , Morgan Alice L. , Na Jea G. , Graham Peter A. , McHugh Timothy D. 
Published: August 2021

AbstractBackgroundBacterial lower respiratory tract infections (bLRTIs) are common and potentially life threatening in cats and dogs. Antibiotic treatment is often initiated before the diagnosis of bLRTI; therefore improved knowledge of the aetiology and antibiotic susceptibility patterns of these infections is essential to inform empiric antibiotic choices.MethodsA retrospective study of microbiological, cytological results and their drug susceptibilities from lower respiratory samples (n = 1989) processed in a UK commercial laboratory between 2002 and 2012 was carried out.ResultsThirty‐nine per cent of feline samples and 50% of canine samples were positive for bacterial growth with most yielding a single organism (72 % and 69%, respectively).Bordetella bronchiseptica(20.2% from dogs and 2.3% from cats),Pasteurellaspp. (23.2%, 31.8%),E. coli(16.2%, 13.6%) andPseudomonasspp. (11.1%, 11.4%) were most frequently isolated from cytologically positive samples which contained intracellular bacteria (10%, 14%). Amoxycillin‐clavulanate, cephalothin, cefovecin, oxytetracycline and trimethoprim/sulfamethoxazole showed modestin vitroactivity againstE. colifrom dogs (approximately 70% susceptibility).Pseudomonasspp. were resistant to enrofloxacin (50%), ticarcillin (25%) and marbofloxacin (13%) but showed lower or zero resistance to aminoglycosides (approximately 7%) and ciprofloxacin (0%). Multi drug resistance (acquired resistance to three or more antimicrobial drug classes) was particularly common amongE. coliisolates, with 23% from feline samples and 43% from canine samples.ConclusionResistance to certain first‐choice antibiotics was detected in bLRTIs highlighting the need for continued monitoring and sound evidence to inform decision‐making in the management of these infections.
The course of African swine fever in Romanian backyard holdings – A case report
Authors: Ardelean Felix , Globig Anja , Gârdan Năvălici Alin I. , Blome Sandra , Dietze Klaas , Depner Klaus , Zani Laura 
Published: August 2021

AbstractAfrican swine fever (ASF) was diagnosed for the first time in Romania in a backyard holding in Satu‐Mare County in July 2017. Since then, more than 3800 outbreaks occurred in the entire country. Disease control strategies in the backyard sector rely almost exclusively on reactive measures implemented upon appearance of clinical signs and laboratory confirmation of ASF. In our descriptive study, infection course and outbreak investigation data of 56 affected backyard holdings in Satu‐Mare County has been investigated. Early disease detection based on clinical signs appeared to be efficient. In the majority of outbreaks, ASF was detected within the first 2 weeks after the estimated virus introduction. A clinical phase of 2–8 days was observed before pigs either succumbed to the disease or control measures were implemented on affected farms. A moderate on‐farm transmissibility of ASF virus between pigs was observed. Four clusters of outbreaks were identified indicating virus perpetuation and transmission from farm to farm. To suspend infection chains, rapid intervention by isolating affected farms combined with effective biosecurity measures is required. However, due to the backyard peculiarities, quick and effective implementation of control measures has shown to be rather difficult.
On doing hydrology with dragons: Realizing the value of perceptual models and knowledge accumulation
Authors: Wagener Thorsten , Gleeson Tom , Coxon Gemma , Hartmann Andreas , Howden Nicholas , Pianosi Francesca , Rahman Mostaquimur , Rosolem Rafael , Stein Lina , Woods Ross 
Published: August 2021

AbstractOur ability to fully and reliably observe and simulate the terrestrial hydrologic cycle is limited, and in‐depth experimental studies cover only a tiny fraction of our landscape. On medieval maps, unexplored regions were shown as images of dragons—displaying a fear of the unknown. With time, cartographers dared to leave such areas blank, thus inviting explorations of what lay beyond the edge of current knowledge. In hydrology, we are still in a phase where maps of variables more likely contain hydrologic dragons than blank areas, which would acknowledge a lack of knowledge. In which regions is our ability to extrapolate well developed, and where is it poor? Where are available data sets informative, and where are they just poor approximations of likely system properties? How do we best identify and acknowledge these gaps to better understand and reduce the uncertainty in characterizing hydrologic systems? The accumulation of knowledge has been postulated as a fundamental mark of scientific advancement. In hydrology, we lack an effective strategy for knowledge accumulation as a community, and insufficiently focus on highlighting knowledge gaps where they exist. We propose two strategies to rectify these deficiencies. Firstly, the use of open and shared perceptual models to develop, debate, and test hypotheses. Secondly, improved knowledge accumulation in hydrology through a stronger focus on knowledge extraction and integration from available peer‐reviewed articles. The latter should include metadata to tag journal articles complemented by a common hydro‐meteorological database that would enable searching, organizing and analyzing previous studies in a hydrologically meaningful manner.This article is categorized under:
Engineering Water > Planning Water
Science of Water > Hydrological Processes
Science of Water > Methods
A review of graphene‐TiO2 and graphene‐ZnO nanocomposite photocatalysts for wastewater treatment
Authors: Thakre Kunal G. , Barai Divya P. , Bhanvase Bharat A. 
Published: August 2021

AbstractTechnologies for wastewater remediation have been growing ever since the environmental and health concern is realized. Development of nanomaterials has enabled mankind to have different methods to treat the various kinds of inorganic and organic pollutants present in wastewater from many resources. Among the many materials, semiconductor materials have found many environmental applications due to their outstanding photocatalytic activities. TiO2 and ZnO are more effectively used as photocatalyst or adsorbents in the withdrawal of inorganic as well as organic wastes from the wastewater. On the other hand, graphene is tremendously being investigated for applications in environmental remediation in view of the superior physical, optical, thermal, and electronic properties of graphene nanocomposites. In this work, graphene‐TiO2 and graphene‐ZnO nanocomposites have been reviewed for photocatalytic wastewater treatment. The various preparation techniques of these nanocomposites have been discussed. Also, different design strategies for graphene‐based photocatalyst have been revealed. These nanocomposites exhibit promising applications in most of the water purification processes which are reviewed in this work. Along with this, the development of these nanocomposites using biomass‐derived graphene has also been introduced.Practitioner Points

Graphene‐TiO2 and graphene‐ZnO nanocomposites are effective for wastewater treatment through photocatalysis.
These nanocomposite photocatalysts have been used in the form of membrane as well as antibacterial agents.
Synthetic strategies and design considerations of graphene‐based photocatalyst play a major role.
Biomass‐derived graphene‐TiO2 and graphene‐ZnO nanocomposites have also found application in wastewater treatment.
Determining the helicity structure of the nucleon at the Electron Ion Collider in China
Authors: Anderle Daniele Paolo , Hou Tie-Jiun , Xing Hongxi , Yan Mengshi , Yuan C.-P. , Zhao Yuxiang 
Published: August 2021

Abstract
Understanding how sea quarks behave inside a nucleon is one of the most important physics goals of the proposed Electron-Ion Collider in China (EicC), which is designed to have a 3.5 GeV polarized electron beam (80% polarization) colliding with a 20 GeV polarized proton beam (70% polarization) at instantaneous luminosity of 2 × 1033cm−2s−1. A specific topic at EicC is to understand the polarization of individual quarks inside a longitudinally polarized nucleon. The potential of various future EicC data, including the inclusive and semi-inclusive deep inelastic scattering data from both doubly polarized electron-proton and electron-3He collisions, to reduce the uncertainties of parton helicity distributions is explored at the next-to-leading order in QCD, using the Error PDF Updating Method Package (ePump) which is based on the Hessian profiling method. We show that the semi-inclusive data are well able to provide good separation between flavour distributions, and to constrain their uncertainties in the x > 0.005 region, especially when electron-3He collisions, acting as effective electron-neutron collisions, are taken into account. To enable this study, we have generated a Hessian representation of the DSSV14 set of PDF replicas, named DSSV14H PDFs.
Experimental and numerical investigations of oxide-related defects in Al alloy gravity die castings
Authors: Scampone Giulia , Pirovano Raul , Mascetti Stefano , Timelli Giulio 
Published: August 2021

AbstractThis research aimed to study the formation and distribution of oxide-related defects in the gravity die casting process of an AlSi7Cu0.5Mg alloy by using experimental and numerical investigations. Metallographic and image analysis techniques were conducted to map the distribution of oxide inclusions inside the casting at the microscopic level. Numerical simulations were used to analyse the filling and solidification stages, and to foresee the turbulence of the melt and the formation of the oxide defects. The results show that most of the defects were correlated with the oxide layers or bubbles entrained inside the liquid metal. The accuracy of the numerical code in simulating the metal fluid-dynamic behaviour and the heat transfer was verified, and the results were in agreement with the experimental findings. The numerical distribution of defects was consistent with the experimental results, proving that the model successfully predicted the formation of oxide-related defects.
Development of innovative automated solutions for the assembly of multifunctional thermoplastic composite fuselage
Authors: Omairey Sadik L. , Sampethai Sofia , Hans Luka , Worrall Chris , Lewis Stuart , Negro Daniele , Sattar Tariq , Ferrera Eduardo , Blanco Elena , Wighton John , Muijs Leo , Veldman Sebastiaan L. , Doldersum Marco , Tonnaer Rik , Jayasree Nithin , Kazilas Mihalis 
Published: August 2021

AbstractIn this study, the development of innovative tooling and end-effector systems for the assembly of a multifunctional thermoplastic fuselage is presented. The increasing demand for cleaner and new aircraft requires utilising novel materials and technologies. Advanced thermoplastic composites provide an excellent material option thanks to their weldability, low density, low overall production cost, improved fracture toughness and recyclability. However, to fully appreciate their potentials, new manufacturing approaches and techniques are needed. Hence, this project develops three end-effector solutions to demonstrate the feasibility of assembling a full-scale multifunctional-integrated thermoplastic lower fuselage shell, including the integration of a fully equipped floor and cargo structure. The developed assembly solution comprises three individual yet well-integrated tooling systems that allow housing the skin and assembly; picking, placing and welding of the assembly parts, i.e. clips and stringers; and welding of frames and floor beam sub-assemblies. The process of developing these systems including the end-user requirements, technical challenges, tooling and end-effectors design and manufacturing process are detailed in this paper.
Sensitive and quantitative determination of short-chain fatty acids in human serum using liquid chromatography mass spectrometry
Authors: Shafaei Armaghan , Vamathevan Veronica , Pandohee Jessica , Lawler Nathan G. , Broadhurst David , Boyce Mary C. 
Published: August 2021

AbstractShort-chain fatty acids (SCFAs) are increasingly being monitored to elucidate the link between gut health and disease. These metabolites are routinely measured in faeces, but their determination in serum is more challenging due to their low concentrations. A method for the determination of eight SCFAs in serum is described here. High-resolution mass spectrometry and gas chromatography were used to identify the presence of isomeric interferences, which were then overcome through a combination of chromatographic separation and judicious choice of MS fragment ion. The SCFAs were derivatised to form 3-nitrophenylhydrazones before being separated on a reversed-phase column and then detected using liquid chromatography tandem mass spectrometry (LC-QQQ-MS). The LODs and LOQs of SCFAs using this method were in the range 1 to 7 ng mL−1 and 3 to 19 ng mL−1, respectively. The recovery of the SCFAs in serum ranged from 94 to 114% over the three concentration ranges tested.
Towards multidomain and multilingual abusive language detection: a survey
Authors: Pamungkas Endang Wahyu , Basile Valerio , Patti Viviana 
Published: August 2021

AbstractAbusive language is an important issue in online communication across different platforms and languages. Having a robust model to detect abusive instances automatically is a prominent challenge. Several studies have been proposed to deal with this vital issue by modeling this task in the cross-domain and cross-lingual setting. This paper outlines and describes the current state of this research direction, providing an overview of previous studies, including the available datasets and approaches employed in both cross-domain and cross-lingual settings. This study also outlines several challenges and open problems of this area, providing insights and a useful roadmap for future work.
Company valuation and the nonlinear state marginal price vector model under agency conflicts
Authors: Kintzel Olaf , Toll Christian 
Published: August 2021

AbstractIn the present contribution, the innovative nonlinear state marginal price vector model introduced in Toll and Kintzel (CEJOR 27(4):1079–1105, 2019) (plus Errata herein) is enriched to include budgeting problems under agency conflicts. Under asymmetric information, a company owner as principal can only rely on information transmitted to her from her managers as agents. In the related modeling, it is assumed that slack and capital rationing are optimal. The governing budgeting relations are integrated into a nonlinear framework furnished by a multi-period newsvendor approach and are solved numerically by means of a two-step valuation procedure based on two successive nonlinear convex optimizations. The capital market is assumed to be imperfect. As case study, the M&A-valuation case of a merger of two IT-service companies is considered subjected to optimal combined dimensioning of capacities and budgets under stochastic demand. On balance, by addressing agency conflicts within the well-established nonlinear framework, the practical application field of the valuation procedure is widened.
Empowering the configuration-IP: new PTAS results for scheduling with setup times
Authors: Jansen Klaus , Klein Kim-Manuel , Maack Marten , Rau Malin 
Published: August 2021

AbstractInteger linear programs of configurations, or configuration IPs, are a classical tool in the design of algorithms for scheduling and packing problems where a set of items has to be placed in multiple target locations. Herein, a configuration describes a possible placement on one of the target locations, and the IP is used to choose suitable configurations covering the items. We give an augmented IP formulation, which we call the module configuration IP. It can be described within the framework of n-fold integer programming and, therefore, be solved efficiently. As an application, we consider scheduling problems with setup times in which a set of jobs has to be scheduled on a set of identical machines with the objective of minimizing the makespan. For instance, we investigate the case that jobs can be split and scheduled on multiple machines. However, before a part of a job can be processed, an uninterrupted setup depending on the job has to be paid. For both of the variants that jobs can be executed in parallel or not, we obtain an efficient polynomial time approximation scheme (EPTAS) of running time $$f(1/\varepsilon )\cdot \mathrm {poly}(|I|)$$

f
(
1
/
ε
)
·
poly
(
|
I
|
)

. Previously, only constant factor approximations of 5/3 and $$4/3 + \varepsilon $$

4
/
3
+
ε

, respectively, were known. Furthermore, we present an EPTAS for a problem where classes of (non-splittable) jobs are given, and a setup has to be paid for each class of jobs being executed on one machine.
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent
Authors: Hess Sibylle , Pio Gianvito , Hochstenbach Michiel , Ceci Michelangelo 
Published: August 2021

AbstractMatrix tri-factorization subject to binary constraints is a versatile and powerful framework for the simultaneous clustering of observations and features, also known as biclustering. Applications for biclustering encompass the clustering of high-dimensional data and explorative data mining, where the selection of the most important features is relevant. Unfortunately, due to the lack of suitable methods for the optimization subject to binary constraints, the powerful framework of biclustering is typically constrained to clusterings which partition the set of observations or features. As a result, overlap between clusters cannot be modelled and every item, even outliers in the data, have to be assigned to exactly one cluster. In this paper we proposeBroccoli, an optimization scheme for matrix factorization subject to binary constraints, which is based on the theoretically well-founded optimization scheme of proximal stochastic gradient descent. Thereby, we do not impose any restrictions on the obtained clusters. Our experimental evaluation, performed on both synthetic and real-world data, and against 6 competitor algorithms, show reliable and competitive performance, even in presence of a high amount of noise in the data. Moreover, a qualitative analysis of the identified clusters shows thatBroccolimay provide meaningful and interpretable clustering structures.