bluuebunny/crossref_metadata_2025_split huggingface dataset:
Scalable Bayesian preference learning for crowds
Authors: Simpson Edwin , Gurevych Iryna 
Published: February 2020

AbstractWe propose a scalable Bayesian preference learning method for jointly predicting the preferences of individuals as well as the consensus of a crowd from pairwise labels. Peoples’ opinions often differ greatly, making it difficult to predict their preferences from small amounts of personal data. Individual biases also make it harder to infer the consensus of a crowd when there are few labels per item. We address these challenges by combining matrix factorisation with Gaussian processes, using a Bayesian approach to account for uncertainty arising from noisy and sparse data. Our method exploits input features, such as text embeddings and user metadata, to predict preferences for new items and users that are not in the training set. As previous solutions based on Gaussian processes do not scale to large numbers of users, items or pairwise labels, we propose a stochastic variational inference approach that limits computational and memory costs. Our experiments on a recommendation task show that our method is competitive with previous approaches despite our scalable inference approximation. We demonstrate the method’s scalability on a natural language processing task with thousands of users and items, and show improvements over the state of the art on this task. We make our software publicly available for future work (https://github.com/UKPLab/tacl2018-preference-convincing/tree/crowdGPPL).
Trip chain complexity: a comparison among latent classes of daily mobility patterns
Authors: Schneider Florian , Ton Danique , Zomer Lara-Britt , Daamen Winnie , Duives Dorine , Hoogendoorn-Lanser Sascha , Hoogendoorn Serge 
Published: February 2020

AbstractThis paper studies the relationship between trip chain complexity and daily travel behaviour of travellers. While trip chain complexity is conventionally investigated between travel modes, our scope is the more aggregated level of a person’s activity-travel pattern. Using data from the Netherlands Mobility Panel, a latent class cluster analysis was performed to group people with similar mode choice behaviour in distinct mobility pattern classes. All trip chains were assigned to both a travel mode and the mobility pattern class of the traveller. Subsequently, differences in trip chain complexity distributions were analysed between travel modes and between mobility pattern classes. Results indicate considerable differences between travel modes, particularly between multimodal and unimodal trip chains, but also between the unimodal travel modes car, bicycle, walking and public transport trip chains. No substantial differences in trip chain complexity were found between mobility pattern classes. Independently of the included travel modes, the distributions of trip chain complexity degrees were similar across mobility pattern classes. This means that personal circumstances such as the number of working hours or household members are not systematically translated into specific mobility patterns.
Is the Whole Greater than the Sum of Its Parts? Pricing Pressure Indices for Mergers of Vertically Integrated Firms
Authors: Trost Michael 
Published: February 2020

AbstractThe paper analyzes gross upward pricing pressure indices—$$\texttt {iGUPPI}$$
iGUPPI
—to assess the anti-competitive effects of mergers between vertically integrated firms where independent rivals are active in the downstream market. Such indices could be used, for example, to screen mergers between mobile network operators that compete with mobile virtual network operators in the downstream retail market. It is shown that the $$\texttt {iGUPPI}$$
iGUPPI
for the downstream divisions of the merging firms corresponds to the sum of two well-known upward pricing pressure indices: the $$\texttt {GUPPI}$$
GUPPI
concept of Salop and Moresi (Georget Law J, 2009), and the $$\texttt {vGUPPI}$$
vGUPPI
concept of Moresi and Salop (Antitrust Law J 79(1):185–214, 2013). However, this simple decomposition does not hold for their upstream divisions a priori. Here, additional effects that are not included in the two concepts arise. Further assumptions with respect to the price reactions of the downstream divisions to increases in the input prices are imposed so that the $$\texttt {iGUPPI}$$
iGUPPI
for the upstream divisions is decomposable into an upstream market version of the $$\texttt {GUPPI}$$
GUPPI
and the $$\texttt {vGUPPI}$$
vGUPPI
.
Fostering character strengths to promote thriving and flourishing in organizations
Authors: Harzer Claudia 
Published: February 2020

AbstractCharacter strengths are positively valued personality traits that find expression in individuals’ thoughts, feelings, and behaviors. Most adults develop up to seven core character strengths (i.e., “signature strengths”) which are central to their identity. According to fundamental theoretical assumptions about signature strengths, Person-Environment Fit Theory, Job Demands-Resources Theory and prior empirical research, employing one’s signature strengths leads to a number of favorable general and work outcomes. Strategies on the individual, team, and organizational level fostering signature strengths use in the workplace are summarized.
Overcompensation as a service recovery strategy: the financial aspect of customers’ extra effort
Authors: Kenesei Zsofia , Bali Zsofia 
Published: February 2020

AbstractCompensation is one of the most important elements of service. Companies often pursue a strategy of overcompensation; however, there are contradictory results in the literature whether overcompensation has a positive or negative effect on postcomplaint customer behaviour. In this paper, based on three studies, we prove that examining the amount of additional effort required of the customer in order to achieve service recovery can help us better explain outcomes of the service recovery. Our results clearly show that the degree of additional customer effort has significant influence both on satisfaction and on perceived fairness and it moderates the effect of the amount of compensation.
Implant-Mediated Therapy of Arterial Hypertension
Authors: Gierthmuehlen Mortimer , Plachta Dennis T. T. , Zentner Josef 
Published: February 2020

Abstract
Purpose of Review
To give an overview on recent developments in permanent implant-based therapy of resistant hypertension.

Recent Findings
The American Heart Association (AHA) recently updated their guidelines to treat high blood pressure (BP). As elevated BP now is defined as a systolic BP above 120 mmHg, the prevalence of hypertension in the USA has increased from 32% (old definition of hypertension) to 46%. In the past years, device- and implant-mediated therapies have evolved and extensively studied in various patient populations. Despite an initial drawback in a randomized controlled trial (RCT) of bilateral carotid sinus stimulation (CSS), new and less invasive and unilateral systems for baroreflex activation therapy (BAT) with the BAROSTIM NEO® have been developed which show promising results in small non-randomized controlled (RCT) studies. Selective vagal nerve stimulation (VNS) has been successfully evaluated in rodents, but has not yet been tested in humans. A new endovascular approach to reshape the carotid sinus to lower BP (MobiusHD™) has been introduced (baroreflex amplification therapy) with favorable results in non-RCT trials. However, long-term results are not yet available for this treatment option. A specific subgroup of patients, those with indication for a 2-chamber cardiac pacemaker, may benefit from a new stimulation paradigm which reduces the AV latency and therefore limits the filling time of the left ventricle. The most invasive approach for resistant hypertension still is the neuromodulation by deep brain stimulation (DBS), which has been shown to significantly lower BP in single cases.

Summary
Implant-mediated therapy remains a promising approach for the treatment of resistant hypertension. Due to their invasiveness, such treatment options must prove superiority over conventional therapies with regard to safety and efficacy before they can be generally offered to a wider patient population. Overall, BAROSTIM NEO® and MobiusHD™, for which large RCTs will soon be available, are likely to meet those criteria and may represent the first implant-mediated therapeutical options for hypertension, while the use of DBS probably will be reserved for individual cases. The utility of VNS awaits appropriate assessment.
Automatic estimation of traveltime parameters in VTI media using similarity-weighted clustering
Authors: Liu Shi-You , Zhang Ying-Zhao , Li Chao , Sun Wan-Yuan , Fang Gang , Liu Guo-Chang 
Published: February 2020

AbstractCompared with hyperbolic velocity estimation methods, nonhyperbolic methods (such as shifted hyperbola) are better choices for large offsets or vertical transverse isotropy (VTI) media. Since local seismic event slope contains subsurface information, they can be used to estimate zero-offset two-way traveltime and normal moveout velocity. The traditional velocity estimation methods require a great deal of manual work and are also prone to human error. In order to estimate the traveltime parameters for VTI media automatically, in this paper, we propose to use predictive painting and similarity-weighted clustering to obtain traveltime parameters. The predictive painting is used to estimate zero-offset two-way traveltime, and the shifted-hyperbola traveltime equation is used to obtain velocity and anisotropy attributes. We first map local slopes to zero-offset two-way traveltime and moveout-parameters domain and then use similarity-weighted k-means clustering to find the maximum likelihood anisotropy parameters of the main subsurface structures. In order to demonstrate that, we apply the similarity-weighted clustering method to synthetic and field data examples and the results are of higher accuracy when compared to the ones obtained using multiparameter semblance-based method. From estimation error section, it can be seen that the estimation error of multiparameter semblance-based method is about 3–5 times that of the proposed method.
Processes and causes of Phanerozoic tectonic evolution of the western Tarim Basin, northwest China
Authors: Wang Teng-Fei , Jin Zhen-Kui , Li He , Liu Dong-Qing , Cheng Ri-Hui , Shi Shu-Ting , Wang Jin-Yi 
Published: February 2020

AbstractThis paper addresses the Phanerozoic tectonic evolution of the western Tarim Basin based on an integrated stratigraphic, structural and tectonic analysis. P-wave velocity data show that the basin has a stable and rigid basement. The western Tarim Basin experienced a complex tectonic evolutionary history, and this evolution can be divided into six stages: Neoproterozoic to Early Ordovician, Middle Ordovician to Middle Devonian, Late Devonian to Permian, Triassic, Jurassic to Cretaceous and Paleogene to Quaternary. The western Tarim Basin was a rift basin in the Neoproterozoic to Early Ordovician. From the Middle Ordovician to Middle Devonian, the basin consisted of a flexural depression in the south and a depression that changed from a rift depression to a flexural depression in the north during each period, i.e., the Middle–Late Ordovician and the Silurian to Middle Devonian. During the Late Devonian to Permian, the basin was a depression basin early and then changed into a flexural basin late in each period, i.e., the Late Devonian to Carboniferous and the Permian. In the Triassic, the basin was a foreland basin, and from the Jurassic to Cretaceous, it was a downwarped basin. After the Paleogene, the basin became a rejuvenated foreland basin. Based on two cross sections, we conclude that the extension and shortening in the profile reflect the tectonic evolution of the Tarim Basin. The Tarim Basin has become a composite and superimposed sedimentary basin because of its long-term and complicated tectonic evolutionary history, highly rigid and stable basement and large size.
Association of serum sestrin 2 and betatrophin with serum neutrophil gelatinase associated lipocalin levels in type 2 diabetic patients with diabetic nephropathy
Authors: Mohany Khalid M. , Al Rugaie Osamah 
Published: February 2020

Abstract
Purpose
Understanding the pathogenesis and the molecular mechanisms of diabetic nephropathy (DN) helps its timely detection and prevention. The current work aims tomeasure serum sestrin 2 and betatrophin levels in healthy and type diabetic (T2DM)subjects with/or without diabetic nephropathy (DN) and also to test their correlation with serum neutrophil gelatinase associated lipocalin (sNGAL); indicator of DN.

Methods
This study included 96 subjects; 20 healthy (G1) and 76 T2DM [22 normoalbuminuric (G2), 35 microalbuminuric (G3) and 19 macroalbuminuric (G4)]. Serum sestrin 2, betatrophin and NGAL were measured by their corresponding kits.

Results
Significant low levels of serum sestrin 2 andhigh levels of serum betatrophin were found in T2DM group when compared to G1 (p = 0.002,p > 0.001, respectively) and this difference is manifested in G4 followed, in order, by G3, G2 then G1 (p= > 0.001 for both). Also, serum sestrin2 levels showed significant negative correlations with sNGAL in G1 (r = −0.497, p = 0.026), G2 (r = −0.784, p > 0.001), G3 (r = −0.894, p > 0.001) and G4 (r = −0.896, pp. > 0.001) while serum betatrophin levels showed significant positive correlations with sNGAL in G2 (r = 0.681, p > 0.001), G3 (r = 0.518, p > 0.001) and G4 (r = 0.727, p > 0.001).

Conclusion
Serum sestrin 2 levels decrease significantly while betatrophin levels increase significantly in T2DM patients with DN especially those with macroalbuminuria. These levels have significant effect strengths on the indicator of diabetic nephropathy; sNGAL which might indicate theirvaluablerole in the timely detection and prevention of the development of DN.
Promoting Hand Sanitizer Use in a University Cafeteria
Authors: Bördlein Christoph 
Published: February 2020

AbstractHandwashing is the most cost-efficient method to lower the risk of the transmission of infectious diseases. Especially before eating in public places like cafeterias, handwashing is recommended. Often, people do not wash their hands before eating because of the response effort associated with going to the bathroom. As an alternative way to improve hygiene, disinfection with a hand sanitizer gel is recommended. The current study used an A-B-C-A design (and a no-intervention control site) with prompts and feedback to increase the number of cafeteria patrons using hand sanitizer. Dispensers for hand sanitizer gel were placed at the entrance area of two halls of a university cafeteria. Intervention took place in one hall, whereas the other served as a control. After baseline, a poster explaining the usefulness of hand sanitizing was posted near the entrance of the cafeteria. This led to a doubling of the percentage of cafeteria patrons using the hand sanitizer, from 10.79% during baseline to 24.45%. A second poster provided feedback about the percentage of patrons sanitizing their hands and asked for more participation. This led to no further increases in hand sanitizing (23.73%). After all posters were removed, the percentage dropped to 15.63% in the mean. This research demonstrated that a simple, informative prompt can have a considerable impact on hand-sanitizing behavior. However, the role of feedback in such interventions remains questionable.
DeepCPI: A Deep Learning-Based Framework for Large-Scale in Silico Drug Screening
Authors: Wan Fangping , Zhu Yue , Hu Hailin , Dai Antao , Cai Xiaoqing , Chen Ligong , Gong Haipeng , Xia Tian , Yang Dehua , Wang Ming-Wei , Zeng Jianyang 
Published: February 2020

Abstract
Accurate identification of compound–protein interactions (CPIs) in silico may deepen our understanding of the underlying mechanisms of drug action and thus remarkably facilitate drug discovery and development. Conventional similarity- or docking-based computational methods for predicting CPIs rarely exploit latent features from currently available large-scale unlabeled compound and protein data and often limit their usage to relatively small-scale datasets. In the present study, we propose DeepCPI, a novel general and scalable computational framework that combines effective feature embedding (a technique of representation learning) with powerful deep learning methods to accurately predict CPIs at a large scale. DeepCPI automatically learns the implicit yet expressive low-dimensional features of compounds and proteins from a massive amount of unlabeled data. Evaluations of the measured CPIs in large-scale databases, such as ChEMBL and BindingDB, as well as of the known drug–target interactions from DrugBank, demonstrated the superior predictive performance of DeepCPI. Furthermore, several interactions among small-molecule compounds and three G protein-coupled receptor targets (glucagon-like peptide-1 receptor, glucagon receptor, and vasoactive intestinal peptide receptor) predicted using DeepCPI were experimentally validated. The present study suggests that DeepCPI is a useful and powerful tool for drug discovery and repositioning. The source code of DeepCPI can be downloaded from https://github.com/FangpingWan/DeepCPI.
Breastfeeding preterm born infant
Authors: Zukova Svetlana , Krumina Valda , Buceniece Jelena 
Published: February 2020

Background and Objectives:
For preterm infants, breastmilk plays an important role in their development, but mothers encounter a number of barriers to breastfeeding. The aim of this study was to investigate breastfeeding prevalence in preterm infants and to examine factors that may face mothers when starting to feed at-breast and their impact on the result.

Methods:
Women (N = 79) with preterm infants (N = 84) were interviewed within the follow-up program in Latvia during a six-month period in 2018 using the original study protocol.

Results:
61.9% infants were breastfed and 38.1% were not. The median infant birth weight in breastfed group was 1730 g, the median duration of tube feeding 21 days. The median age when started to feed at-breast 33 days. Later only 40.4% infants were still feeding at-breast. A relationship was found between breastfeeding and the mother's confidence during pregnancy that she would breastfeed (P < .05). 98% mothers who began to feed at-breast, during pregnancy were confident that they would breastfeed. 54.2% women who started to breastfeed as success mentioned medical staff training, 29.2% family support.
The median birth weight in the non-breastfed group was 1494 g, the median duration of tube feeding 21 days. 50% women who did not begin to breastfeed had not received enough information about breastfeeding; 17.2% during pregnancy were not confident that they would breastfeed. 38.7% women stated infants' inability to suckle as failure, 22.6% thought they had no milk. Mothers under 32 years were more likely not to breastfeed their infant (OR = 0.8, 95% CI 0.33–1.96).

Conclusion:
Most mothers began to breastfeed immediately, less than half continued later. Women did not receive enough family support. Young maternal age was associated with decrease in breastfeeding. Mothers with higher education were more likely to breastfeed. Being born extremely preterm and very preterm were associated with the least chance of being breastfed.
An ~1899 glacier inventory for Nordland, northern Norway, produced from historical maps
Authors: Weber Paul , Andreassen Liss M. , Boston Clare M. , Lovell Harold , Kvarteig Sidsel 
Published: February 2020

AbstractGlaciers depicted on old maps reveal their historical extents, before the advent of aerial and satellite remote sensing. Digital glacier inventories produced from these maps can be employed in assessments of centennial-scale glacier change. This study reconstructs the ~1899 (covering the period 1882–1916) glacier extent in Nordland, northern Norway, from historical gradteigskart maps, with an emphasis on examining the accuracy of the mapped glaciers. Glacier outlines were digitised from georectified scans of the analogue maps in a raster graphics editor and were subsequently inventoried in a GIS. The accuracy of the historical glacier extent was established from written descriptions and landscape photographs created during the original field surveys, and further validated against independent glacier outlines of (1) the maximum Little Ice Age extent derived from geomorphological evidence, and (2) the 1945 extent derived from vertical aerial photographs. An overall uncertainty of ±17% is associated with our inventory. Nordland's glaciers covered an area of 1712 ± 291 km2 in 1899. By 2000, total ice cover had decreased by 47% (807 ± 137 km2) at a rate of 6% 10 a−1 (80 ± 14 km2 10 a−1). The approach presented here may serve as a blueprint for future studies intending to derive glacier inventories from historical maps.
Measuring Up: Better baby contests in China, 1917–45
Authors: TILLMAN MARGARET MIH 
Published: February 2020

AbstractThis article charts the Chinese indigenization of better baby contests, from Christian health services offered by the YWCA to positive models of nourishment organized by Chinese philanthropic organizations and local and central governments. American missionaries and milk-powder companies played a large role in sponsoring the contests in China. Influenced by the rise of scientific measurement and ‘national rejuvenation’ as promoted by the New Culture Movement in 1915, Chinese organizers tended to focus on liveliness, gender equality, and statistics that pointed to the need for public reform. As in the United States of America, scientific criteria sometimes also challenged conventional notions of plump cuteness. These goals sometimes conflicted with the implicit aims of corporate sponsors. Contests thus celebrated new material conditions and public hygiene facilitated by modern industry, but was at the same time circumscribed by commercial advertisers, reticent evangelists, or other sponsors.
The politics of creditworthiness: political and policy commentary in sovereign credit rating reports
Authors: Barta Zsófia , Makszin Kristin 
Published: February 2020

AbstractHow much do politics and politically sensitive policy choices matter for sovereign credit ratings? We contend that while policy is consistently important for rating decisions, attention to politics varies with perceived uncertainty. Quantitatively analysing the text of 635 sovereign rating reports issued by Standard and Poor’s (S&P) between 1999 and 2012 for 40 European countries, we find that S&P scrutinisespolicywith similar intensity across countries, butpoliticalscrutiny was less intense in developed countries and prospective European Union members (categories formerly associated with lower uncertainty) than in emerging countries until the crisis dispelled illusions of lower uncertainty in these categories. Our findings nuance the common notion that financial market actors allow countries perceived to belong to low-risk categories more “room-to-move” in their political and policy choices, by showing that in rating decisions such permissiveness only applied to politics – but not to policy – and it ended with the global financial crisis.