bluuebunny/crossref_metadata_2025_split huggingface dataset:
Upstream Competition with Complex and Unobservable Contracts
Authors: Atiyas Izak , Doganoglu Toker , Inceoglu Firat 
Published: July 2020

AbstractThis paper examines situations where two vertically integrated firms consider supplying an input to an independent downstream competitor via privately observed contracts. We identify equilibria where competition in the upstream market emerges—the downstream competitor gets supplied—as well as when the downstream firm does not receive the input and is excluded from the market. The likelihood of the outcome in which the downstream firm does not get supplied depends not only on demand parameters, but also on contractual flexibility and observability. We show that when contracts are unobservable, downstream entry will occur less often. Furthermore, our results suggest that permitting contracts that enable the contracting parties to coordinate their behavior in the downstream market may improve welfare by increasing the likelihood that the downstream firm is supplied.
Make or Buy: Offshoring of Services Functions in Manufacturing
Authors: Nordås Hildegunn Kyvik 
Published: July 2020

AbstractAbout 40% of employment in manufacturing is in services functions. This paper develops a measure of narrow outsourcing: the matching of services functions that are performed by workers who are inside manufacturing firms to the same services functions that are provided by outside suppliers. Narrow outsourcing is entered into labour demand functions where labour is classified by business functions. The impact of narrow offshoring on manufacturing labour demand is small on average but depends strongly on the complexity of the value chain, the policy environment, and ICT maturity. The IT and R&D functions are most sensitive to offshoring.
Earnings forecasts: the case for combining analysts’ estimates with a cross-sectional model
Authors: Azevedo Vitor , Bielstein Patrick , Gerhart Manuel 
Published: July 2020

AbstractWe propose a novel method to forecast corporate earnings, which combines the accuracy of analysts’ forecasts with the unbiasedness of a cross-sectional model. We build on recent insights from the earnings forecasts literature to improve analysts’ forecasts in two ways: reducing their sluggishness with respect to information in recent stock price movements and improving their long-term performance. Our model outperforms the most popular methods from the literature in terms of forecast accuracy, bias, and earnings response coefficient. Furthermore, using our estimates in the implied cost of capital calculation leads to a substantially stronger correlation with realized returns compared to earnings estimates from extant cross-sectional models.
Using autoencoders for session-based job recommendations
Authors: Lacic Emanuel , Reiter-Haas Markus , Kowald Dominik , Reddy Dareddy Manoj , Cho Junghoo , Lex Elisabeth 
Published: July 2020

AbstractIn this work, we address the problem of providing job recommendations in an online session setting, in which we do not have full user histories. We propose a recommendation approach, which uses different autoencoder architectures to encode sessions from the job domain. The inferred latent session representations are then used in a k-nearest neighbor manner to recommend jobs within a session. We evaluate our approach on three datasets, (1) a proprietary dataset we gathered from the Austrian student job portal Studo Jobs, (2) a dataset released by XING after the RecSys 2017 Challenge and (3) anonymized job applications released by CareerBuilder in 2012. Our results show that autoencoders provide relevant job recommendations as well as maintain a high coverage and, at the same time, can outperform state-of-the-art session-based recommendation techniques in terms of system-based and session-based novelty.
Multicore Performance Prediction with MPET
Authors: Arndt Oliver Jakob , Lüders Matthias , Riggers Christoph , Blume Holger 
Published: July 2020

AbstractMulticore processors serve as target platforms in a broad variety of applications ranging from high-performance computing to embedded mobile computing and automotive applications. But, the required parallel programming opens up a huge design space of parallelization strategies each with potential bottlenecks. Therefore, an early estimation of an application’s performance is a desirable development tool. However, out-of-order execution, superscalar instruction pipelines, as well as communication costs and (shared-) cache effects essentially influence the performance of parallel programs. While offering low modeling effort and good simulation speed, current approximate analytic models provide moderate prediction results so far. Virtual prototyping requires a time-consuming simulation, but produces better accuracy. Furthermore, even existing statistical methods often require detailed knowledge of the hardware for characterization. In this work, we present a concept called Multicore Performance Evaluation Tool (MPET) and its evaluation for a statistical approach for performance prediction based on abstract runtime parameters, which describe an application’s scalability behavior and can be extracted from profiles without user input. These scalability parameters not only include information on the interference of software demands and hardware capabilities, but indicate bottlenecks as well. Depending on the database setup, we achieve a competitive accuracy of 20% mean prediction error (11% median), which we also demonstrate in a case study.
Gross alpha and gross beta activities in selected marine species in Vietnam
Authors: Duong Van Hao , Le Luong Huy , Nguyen Dinh Chau , Nguyen Thanh Duong , Hegedűs Miklós , Csordás Anita , Kovács Tibor 
Published: July 2020

AbstractThe measured gross alpha and gross beta activities in the edible muscle tissues of eleven selected marine species along the coast of North Vietnam varied from 10.2 ± 1.5 to 73.2 ± 8.1 Bq/kg (wwt) and from 10.6 ± 0.4 to 68.8 ± 2.8 Bq/kg (wwt), respectively. The lowest gross alpha activity was recorded for bigfin reef squid (Sepioteuthis lessoniana) as a result of its carnivorous diet, and the highest alpha activity was noted for blood cockle (Anadara granosa) as a result of its omnivorous diet. However, the gross beta activities in both carnivorous and omnivorous species were similar. The highest and lowest gross beta activities were observed for narrow-barred Spanish mackerel (Scomberomorus commerson) and for bigfin reef squid and squid (Teuthida), respectively. All three aforementioned species have carnivorous diets. The calculated annual committed effective dose resulting from the consumption of 25 kg of muscle tissue per year varied from 192 to 1375 μS with an average of 689 μS.
The environmental impact of rearing crickets for live pet food in the UK, and implications of a transition to a hybrid business model combining production for live pet food with production for human consumption
Authors: Suckling J. , Druckman A. , Moore C. D. , Driscoll D. 
Published: July 2020

Abstract
Purpose
Rearing crickets in the UK for the live pet food market is already a well-established industry. However, there is interest in also producing food for human consumption. This paper presents a life cycle assessment (LCA) of a current live pet food business. Using results from this LCA, the papers explores how current business practices could be improved to reduce environmental impacts, and discusses the potential benefits of a hybrid live pet food/human consumption business model.

Methods
An attributional, cradle-to-farm-gate life cycle assessment was conducted on rearing crickets for the live pet food market, with data collected on-site at a case study business. Results are reported in multiple impact categories from the ILCD 2011 Midpoint+ method. Comparison is made to the only other similar study: an LCA of rearing crickets in Thailand for human consumption (Halloran et al. J Clean Prod 156:83–94, 2017). The sources of the different environmental impacts between the two studies are explored and inefficiencies in the live pet food rearing process identified. Subsequently, scenarios are used to explore how the inefficiencies may be mitigated, and environmental impact of the live pet food production process reduced through adoption of a hybrid live pet food/human food production model.

Results and discussions
The environmental impact was found to be larger across all impact categories than the only known comparable study, which is for rearing crickets in Thailand for human consumption (Halloran et al. J Clean Prod 156:83–94, 2017). Some of this difference is due to the heating required for rearing crickets in a climate such as the UK, and some is due to the requirements of the live pet food market being much more demanding on resources than the human food model. The current study identifies improvements in practices that would make this contrast less stark, such as optimizing feeding practices, and the benefits of moving to a hybrid live pet food/human consumption business model.

Conclusions
This is the first LCA of crickets reared in the UK. The results highlight inefficiencies in the rearing process that are now being addressed by the case study business. The study also shows the potential co-benefits of a hybrid business model, in which crickets for human consumption are produced alongside crickets for the live pet food market.
Impact of sedimentation history for As distribution in Late Pleistocene-Holocene sediments in the Hetao Basin, China
Authors: Wang Hongyan , Eiche Elisabeth , Guo Huaming , Norra Stefan 
Published: July 2020

AbstractPurposeTo understand the impact of geochemical sedimentation history for arsenic (As) distribution in the sediment profiles of the Hetao Basin, we (1) evaluated sediments provenance and variations of weathering intensities, (2) attempted to reconstruct the depositional environments, and (3) explored the As and Fe speciation in the sediments. Combining the information above, different sedimentation facies were distinguished in the vertical profiles.MethodsTwo sediments cores were drilled up to 80 m depth. Major and trace element compositions, including rare earth elements (REE), were analyzed. Carbon isotope ratios (δ13Corg) of embedded organic matter in the sediments were analyzed by isotope ratio mass spectrometry (IR-MS). Arsenic and Fe speciation of the sediments were determined by sequential extractions.Results and discussionThe similar REE geochemistry of rocks from the Lang Mountains and sediments in the Hetao Basin indicated that the sediments originated from the Lang Mountains. The C/N ratio (~ 4 to ~ 10) in combination with δ13Corg(− 27‰ to −2 4‰) suggested that sediments were mainly deposited in aquatic environments. The unconfined aquifer equaled the lacustrine deposit with less intensive weathering during last glacial maximum (LGM). Here, the As content (average, 5.4 mg kg−1) was higher than in the aquifer sediments below (average, 3.6 mg kg−1).ConclusionHigher content of releasable As in combination with paleolake-derived organic matter aquifer sediments probably contributes to higher groundwater As concentration in the unconfined aquifer. This study provides the first insight into the impact of sedimentation history on As distributions in sediment profiles in the Hetao Basin.
How National Institutions Shape Skilled Immigrants’ Chances of Getting Hired: Evidence from Harmonised Factorial Surveys with Employers in Germany and England
Authors: Stumpf Felix , Damelang Andreas , Abraham Martin , Ebensperger Sabine 
Published: July 2020

AbstractThis study provides novel insights into the institutional conditions under which skilled immigrants get hired for skilled jobs in different countries. We argue that immigrants’ hiring chances depend on the interplay between institutions in sending countries, which determine the type of education that immigrants bring, and institutions in receiving countries, which shape employers’ preferences for certain types of education. We develop a research design that considers this interplay and allows us to directly compare how education from sending countries with different institutional arrangements is rated by employers in two countries with widely divergent institutional contexts of reception, Germany and England. Using harmonised factorial surveys, we simulate hiring processes and evaluate the chances of German and English employers inviting foreign-educated immigrants to interviews for jobs commensurate with their education. The survey design makes it possible to experimentally vary the institutional settings in which immigrants acquired their education in the sending country, and isolate their effect on employers’ ratings. Our key finding is that immigrants from sending countries with highly standardised occupation-orientated education systems prevail in the hiring competition, irrespective of the education system in the receiving country.
Was determiniert Einstellungen zu den Folgen der Aufnahme von Flüchtlingen in Deutschland? Ergebnisse auf Basis des GESIS-Panels 2016
Authors: Reinhardt Peter , Frings Cornelia 
Published: July 2020

ZusammenfassungDie sogenannte Flüchtlingskrise ist eines der dominierenden Themen in Westeuropa und steht im Zusammenhang mit zunehmend erfolgreichen rechtspopulistischen Parteien und Bewegungen. Die deutsche Gesellschaft scheint gespalten zu sein in der Frage, ob die Aufnahme von Flüchtlingen für Deutschland mehr Chancen oder mehr Risiken mit sich bringt. Dieser Artikel analysiert die Frage nach den Gründen für eine optimistische bzw. pessimistische Sicht auf die Folgen der Flüchtlingsaufnahme. Anknüpfend an drei zentrale Erklärungsansätze der vergleichenden Forschung zu immigrationsbezogenen Einstellungen testen wir den Einfluss von sozioökonomischen Determinanten, kulturellen Determinanten (Ethnozentrismus und soziales Vertrauen) sowie von Kontakt mit Flüchtlingen. Datengrundlage bildet das GESIS-Panel 2016. Soziales Vertrauen, Ethnozentrismus und Kontakt erweisen sich als erklärungskräftige Determinanten. Insbesondere Ethnozentrismus hat einen starken Effekt auf die Einstellungen zu den Konsequenzen der Aufnahme von Flüchtlingen in Deutschland. Soziales Vertrauen wirkt offenbar weniger direkt, sondern eher indirekt, vermittelt über Ethnozentrismus.
Tailoring Soft Local Zones in Quenched Blanks of the Steel 22MnB5 by Partial Pre-cooling with Compressed Air
Authors: Golovko Oleksandr , Stolte Max-Henry , Wölki Kai , Hübner Sven , Behrens Bernd-Arno , Maier Hans Jürgen , Nürnberger Florian 
Published: July 2020

AbstractThe high-strength boron steel 22MnB5 steel is widely used for automotive lightweight constructions. A novel approach is promising to tailor strength and ductility in the hardened condition using locally pre-tempered sheets for the hot stamping process. It results in the formation of locally soft spots where mechanical joining is subsequently intended. A slow pre-cooling of the later joining zones with cooling rates below a certain critical cooling rate for obtaining a decreased strength in these regions is required. A tubular air cooling system suited for this task is presented and tested in a process where the subsequent quenching of the overall sheet is realized by rapid cooling in a water bath. Varying the air pressure and cooling duration allows controlling the size of the softened local spot in a wide range and still obtaining a bainitic microstructure. Using two-stage cooling with point jet nozzles and a subsequent hot stamping process with water-cooled dies resulted in a main sheet hardness of about 470 HV5 and of 260 HV5 in the pre-cooled spots, respectively.
Which preoperative screening tool should be applied to older patients undergoing elective surgery to predict short-term postoperative outcomes? Lessons from systematic reviews, meta-analyses and guidelines
Authors: Aitken Rachel , Harun Nur-Shirin , Maier Andrea Britta 
Published: July 2020

Abstract
Background
Older surgical patients have a higher risk of postoperative mortality and morbidity compared to younger patients. Timely identification of high-risk patients facilitates comprehensive preoperative evaluation, optimization, and resource allocation to help reduce this risk. This review aims to identify a preoperative screening tool for older patients undergoing elective surgery predictive of poor short-term postoperative outcomes.

Methods
A scoping review was conducted. An Ovid MEDLINE search was used to identify systematic reviews or meta-analyses comprising older elective patients in at least two different surgical settings. International guidelines were reviewed for recommendations regarding preoperative tools in this population.

Results
Over 50 screening tools were identified. The majority showed a positive association with short-term postoperative mortality and morbidity in older patients. The most commonly described tools were the American Society of Anesthesiologists Physical Status (ASA-PS), frailty tools and domain-specific tools administered as part of comprehensive geriatric assessment (CGA). Due to heterogeneity in outcome measures and statistical methodology the predictive capacity between tools could not be compared. International guidelines described a comprehensive preoperative approach incorporating domain-specific tools rather than recommending a screening tool.

Conclusion
Multiple tools were associated with poor short-term postoperative outcomes in older elective surgical patients. No single superior tool could be identified. Frailty, cognitive and/or functional tools were most frequently utilized.
First Epileptic Seizure and Initial Diagnosis of Juvenile Myoclonus Epilepsy (JME) in a Transcranial Direct Current Stimulation (tDCS) Study– Ethical Analysis of a Clinical case
Authors: Sierawska Anna , Moliadze Vera , Splittgerber Maike , Rogge Annette , Siniatchkin Michael , Buyx Alena 
Published: July 2020

AbstractWe discuss an epileptic incident in an undiagnosed 13-year old girl participating in a clinical study investigating the effects of transcranial direct current stimulation (tDCS) in healthy children and adolescents. This incident poses important research ethics questions with regard to study design, especially pertaining to screening and gaining informed consent. Potential benefits and problems of the incident also need to be considered. The ethical analysis of the case presented in this paper has been informed by an in-depth interview conducted after the incident with the child and the accompanying parent. We discuss the ethical implications of the epileptic incident, the need for improving screening procedures for studies with minors and for providing more effective communication. This case also underscores the problem of undetected teenage epilepsy in neuropsychological clinical studies and the necessity of raising more awareness of this issue. Since research in tDCS is an active and expanding field, we conclude with providing some recommendation that could ensure that future research on tDCS, or other therapies and neuro-interventions where there is a risk of triggering an epileptic seizure, take into account the specifics of teenage epilepsy and the need for more thorough provision of information during the process of gaining informed consent.
Modelling the Influence of Riverine Inputs on the Circulation and Flushing Times of Small Shallow Estuaries
Authors: Huggett Rebecca D. , Purdie Duncan A. , Haigh Ivan D. 
Published: July 2020

AbstractSimple flushing time calculations for estuarine systems can be used as proxies for eutrophication susceptibility. However, more complex methods are required to better understand entire systems. Understanding of the hydrodynamics driving circulation and flushing times in small, eutrophic, temperate estuaries is less advanced than larger counterparts due to lack of data and difficulties in accurately modelling small-scale systems. This paper uses the microtidal Christchurch Harbour estuary in Southern UK as a case study to elucidate the physical controls on eutrophication susceptibility in small shallow basins. A depth-averaged hydrodynamic model has been configured of the estuary to investigate the physical processes driving circulation with particular emphasis on understanding the impact of riverine inputs to this system. Results indicate circulation control changes from tidally to fluvially driven as riverine inputs increase. Flushing times, calculated using a particle tracking method, indicate that the system can take as long as 132 h to flush when river flow is low, or as short as 12 h when riverine input is exceptionally high. When total river flow into the estuary is less than 30 m3 s−1, tidal flux is the dominant hydrodynamic control, which results in high flushing times during neap tides. Conversely, when riverine input is greater than 30 m3 s−1, the dominant hydrodynamic control is fluvial flux, and flushing times during spring tides are longer than at neaps. The methodology presented here shows that modelling at small spatial scales is possible but highlights the importance of particle tracking methods to determine flushing time variability across a system.
Reconstructing Arguments from Noisy Text
Authors: Dykes Natalie , Evert Stefan , Göttlinger Merlin , Heinrich Philipp , Schröder Lutz 
Published: July 2020

AbstractSocial media are of paramount importance to public discourse. RANT aims to contribute methods and formalisms for extracting, representing, and processing arguments from noisy text found in social media discussions, using a large corpus of pre-referendum Brexit tweets as a running case study. We identify recurring linguistic argumentation patterns in a corpus-linguistic analysis and formulate corresponding corpus queries to extract arguments automatically. Given the huge amount of social media data available, our approach aims at high precision at the possible price of low recall. Argumentation patterns are directly associated with logical patterns in a dedicated formalism and accordingly, individual arguments are directly parsed as logical formulae. The logical formalism for argument representation features a broad range of modalities capturing real-life modes of expression. We cast this formalism as a family of instance logics in the generic framework of coalgebraic logic and complement it by a flexible framework to represent relationships between arguments; including standard relations like attack and support but also relations extracted from metadata. Some relations are inferred from the logical content of individual arguments. We are in the process of developing suitable generalizations of various extension semantics for argumentation frameworks combined with corresponding algorithmic methods to allow for the automated retrieval of large-scale argumentative positions.