bluuebunny/crossref_metadata_2025_split huggingface dataset:
Re-designing adaptive selling strategies: the role of different types of shopping companions
Authors: Scholz Tobias , Redler Jörn , Pagel Sven 
Published: March 2020

AbstractThis paper explores the influence of shopping companions in retail sales conversations and the necessity of designing more comprehensive sales training programs. In particular, the characteristics and behaviors of shopping companions and their subsequent effects on accompanied shoppers, the salesperson and the sales conversation are examined. Shopping companions have not played a role in adaptive selling research and most practical trainings for salespeople so far, although they can significantly affect shopper behavior and decision-making, and require distinct approaches by salespeople. Systematizing in-depth interviews with salespeople and qualitative content analysis reveal a variety of different character traits and behaviors of shopping companions that can lead to positive and negative outcomes from a salesperson’s perspective. The interactions that take place between customers and salespeople are the core element of customer-oriented service in retailing. When a holistic customer-oriented service is part of their value proposition, retailers should consider re-designing training programs for salespeople and include the influence of shopping companions. In doing so, salespeople’s customer orientation can be increased by augmenting their capabilities and enabling them to make use of adaptive selling techniques specifically designed for co-shopping situations.
Searching for structure in collective systems
Authors: Twomey Colin R. , Hartnett Andrew T. , Sosna Matthew M. G. , Romanczuk Pawel 
Published: March 2020

AbstractFrom fish schools and bird flocks to biofilms and neural networks, collective systems in nature are made up of many mutually influencing individuals that interact locally to produce large-scale coordinated behavior. Although coordination is central to what it means to behave collectively, measures of large-scale coordination in these systems are ad hoc and system specific. The lack of a common quantitative scale makes broad cross-system comparisons difficult. Here we identify a system-independent measure of coordination based on an information-theoretic measure of multivariate dependence and show it can be used in practice to give a new view of even classic, well-studied collective systems. Moreover, we use this measure to derive a novel method for finding the most coordinated components within a system and demonstrate how this can be used in practice to reveal intrasystem organizational structure.
Percutaneous mitral valve repair: the necessity to redefine secondary mitral regurgitation
Authors: Halim J. , Van den Branden B. , Coussement P. , Kedhi E. , Van der Heyden J. 
Published: March 2020

AbstractInterest in percutaneous mitral valve repair has increased during recent years. This is mainly driven by the significant number of patients being declined for mitral valve surgery because of a high risk of surgery-related complications or death. In this subset of patients, percutaneous edge-to-edge repair using the MitraClip device (Abbott, Menlo Park, CA, USA) has become an established treatment option, proven to be safe, efficient and associated with improved functional status. In contrast to primary mitral regurgitation (MR), clinical outcomes after mitral valve surgery appear to be less favourable as regards secondary MR due to heart failure. In the MITRA-FR and COAPT trials, patients with moderate to severe and severe secondary MR with reduced left ventricular function received either medical treatment (control group) or MitraClip implantation plus medical treatment (device group). Results were conflicting, with only the COAPT trial showing better clinical outcomes in the device group. However, both trials are now seen as complementary and provide useful information especially regarding patient selection for MitraClip therapy. The goal of this review is to delineate which subset of patients with secondary MR will potentially benefit from percutaneous mitral valve repair.
Chemometric analysis for pollution source identification and human health risk assessment of water resources in Ojoto Province, southeast Nigeria
Authors: Egbueri Johnbosco C. , Mgbenu Chukwuma N. 
Published: March 2020

AbstractThis paper quantified the level of heavy metals contamination, identified possible sources of pollution, and assessed the human health risks associated with drinking water resources in Ojoto Province, Nigeria. The study’s gross findings revealed that the suitability of some water sources for consumption purposes in this province is questionable. Based on water quality index, 57.14% of the total samples are within acceptable limits, while 42.86% are unsuitable for drinking. It was observed that the northwestern and southern parts of the study area have more of deteriorated water quality. The health hazard index revealed that 25% of the samples predispose their consumers (both adult and children populations) to high chronic health risks. Moreover, heavy metal pollution index, contamination index, and probability of cancer risk (CR) revealed that about 25% of the total samples were unsuitable and off the CR standard acceptable range of ≤ 1 × 10−6–1 × 10−4. Correlation and component factor analyses linked the origin of major ions to geogenic processes and that of the heavy metals to both natural and anthropogenic processes. Cluster analysis divided the samples into two equal classes (50% each): poor and excellent quality waters. This study indicated that Pb is the priority pollutant impacting the water quality. The various assessments revealed that waters from hand-dug wells and deeper boreholes are the least contaminated and hence best suited for drinking than waters from springs, streams, and shallow wells.
Data-driven model for shear wave transit time prediction for formation evaluation
Authors: Onalo David , Adedigba Sunday , Oloruntobi Olalere , Khan Faisal , James Lesley A. , Butt Stephen 
Published: March 2020

AbstractSonic well logs provide a cost-effective and efficient non-destructive tool for continuous dynamic evaluation of reservoir formations. In the exploration and production of oil and gas reservoirs, these sonic logs contain crucial information about the formation. However, shear sonic logs are not acquired in all oil and gas exploration wells. More so, many offset wells are not run with the most recent sonic logging tools capable of measuring both shear and compressional sonic transit times due to the relatively high costs of running such equipment. And in wells where they are deployed, they are run only over limited intervals of the formation. Such wells lack continuous shear wave transit time measurements along the formation. In this study, an exponential Gaussian process model is presented. The model accurately predicts the shear wave transit times in the formations which lack reliable shear wave transit time measurements. The proposed model is developed using an array of well logs, namely depth, density, porosity, gamma ray, and compressional transit time. A Monte Carlo simulation is used to quantify the proposed model uncertainty. The shear sonic transit time predictions are used to estimate some formation deformation properties, namely Young’s modulus and Poisson’s ratio of a reservoir formation. The results suggest that shear transit time can be represented and predicted by Gaussian-based process model with RMSE, R2, and MSE of 11.147, 0.99, and 124.6, respectively. The proposed model provides a reliable and cost-effective tool for oil and gas dynamic formation evaluation. The findings from this study can help for better understanding of shear transit times in formations which do not have multipole sonic logs or where data have been corrupted while logging in the Niger Delta.
Data-driven approaches tests on a laboratory drilling system
Authors: Løken Erik Andreas , Løkkevik Jens , Sui Dan 
Published: March 2020

AbstractIn recent years, considerable resources have been invested to exploit vast amounts of data that get collected during exploration, drilling and production of oil and gas. Data-related digital technologies potentially become a game changer for the industry in terms of reduced costs through increasing operational efficiency and avoiding accidents, improved health, safety and environment through strengthening situational awareness and so on. Machine learning, an application of artificial intelligence to offer systems/processes self-learning and self-driving ability, has been around for recent decades. In the last five to ten years, the increased computational powers along with heavily digitized control and monitoring systems have made machine learning algorithms more available, powerful and accurate. Considering the state-of-art technologies that exist today and the significant resources that are being invested into the technologies of tomorrow, the idea of intelligent and automated drilling systems to select best decisions or provide good recommendations based on the information available becomes closer to a reality. This study shows the results of our research activity carried out on the topic of drilling automation and digitalization. The main objective is to test the developed machine learning algorithms of formation classification and drilling operations identification on a laboratory drilling system. In this paper, an algorithm to develop data-driven models based on the laboratory data collocated in many scenarios (for instance, drilling different formation samples with varying drilling operational parameters and running different operations) is presented. Moreover, a testing algorithm based on data-driven models for new formation detection and confirmation is proposed. In the case study, results on multiple experiments conducted to test and validate the developed machine learning methods have been illustrated and discussed.
Cumulative Effects of Doubling Up in Childhood on Young Adult Outcomes
Authors: Harvey Hope 
Published: March 2020

AbstractLiving in a doubled-up, or shared, household is a common experience. Nearly one-half of children in the United States double up at some point during childhood, yet we know little about the cumulative effects of these households on children. This study estimates the effects on young adult health and educational attainment of childhood years spent in three doubled-up household types: (1) those formed with children’s grandparent(s), (2) those formed with children’s adult sibling(s), and (3) those formed with other extended family or non-kin adults. Using marginal structural models and inverse probability of treatment weighting—methods that account for the fact that household composition is both a cause and consequence of other family characteristics—I find that doubling up shapes children’s life chances, but the effects vary depending on children’s relationships with household members. Childhood years spent living with nongrandparent extended family or non-kin adults are associated with worse young adult outcomes, but coresidence with grandparents is not significantly associated with young adult outcomes after selection into these households is accounted for, and coresidence with adult siblings may be beneficial in some domains. By studying the effects of coresidence with adults beyond the nuclear family, this research contributes to a fuller understanding of the implications of family complexity for children.
Current formulation approaches in design and development of solid oral dosage forms through three-dimensional printing
Authors: Curti Carlo , Kirby Daniel J. , Russell Craig A. 
Published: March 2020

AbstractThree-dimensional (3D) printing technologies are continuously applied to novel fields, laying the foundations for a new industrial revolution. With regard to pharmaceutical sciences, 3D printed drug products are emerging as attractive and innovative tools in personalised medicine. For example, solid oral dosage forms (e.g. tablets) can be printed in a wide range of dosages, release profiles, geometries and sizes by simply modifying a digital model, thus providing patients with tailored therapies. Various 3D printing technologies have been applied to pharmaceutical manufacture in recent years, and different materials have been investigated to fabricate solid oral dosage forms in a broad range of properties. Therefore, the aim of this review is to describe the state of the art of 3D printing oral pharmaceuticals, with the view to provide formulation scientists with essential information to approach the development of 3D printed drug products, from digital design to final product quality control. Short- to long-term potential areas of application of 3D printed drug products and their relative regulatory pathway challenges are also presented.
Desformylflustrabromine, a positive allosteric modulator of α4β2-containing nicotinic acetylcholine receptors, enhances cognition in rats
Authors: Nikiforuk Agnieszka , Litwa Ewa , Krawczyk Martyna , Popik Piotr , Arias Hugo 
Published: March 2020

Abstract
Rationale
The α4β2 nicotinic acetylcholine receptors (α4β2-nAChRs) may represent useful targets for cognitive improvement. It has been recently proposed that a strategy based on positive allosteric modulation of α4β2-nAChRs reveals several advantages over the direct agonist approach. Nevertheless, the procognitive effects of α4β2-nAChR positive allosteric modulators (PAMs) have not been extensively characterized.

Objectives
The aim of the present study was to evaluate the procognitive efficacy of desformylflustrabromine (dFBr), a selective α4β2-nAChR PAM.

Methods
Cognitive effects were investigated in the novel object recognition task (NORT) and the attentional set-shifting task (ASST) in rats.

Results
The results demonstrate that dFBr attenuated the delay-induced impairment in NORT performance and facilitated cognitive flexibility in the ASST. The beneficial effects of dFBr were inhibited by dihydro-β-erythroidine, a relatively selective α4β2-nAChR antagonist, indicating the involvement of α4β2-nAChRs in cognitive processes. The tested α4β2-PAM was also effective against ketamine- and scopolamine-induced deficits of object recognition memory. Moreover, procognitive effects were also observed after combined treatment with inactive doses of dFBr and TC-2403, a selective α4β2-nAChR agonist.

Conclusions
These findings indicate that dFBr presents procognitive activity, supporting the strategy based on α4β2-nAChR potentiation as a plausible therapy for cognitive impairment.
ENUMERATION OF MEANDERS AND MASUR–VEECH VOLUMES
Authors: DELECROIX VINCENT , GOUJARD ÉLISE , ZOGRAF PETER , ZORICH ANTON 
Published: March 2020

A meander is a topological configuration of a line and a simple closed curve in the plane (or a pair of simple closed curves on the 2-sphere) intersecting transversally. Meanders can be traced back to H. Poincaré and naturally appear in various areas of mathematics, theoretical physics and computational biology (in particular, they provide a model of polymer folding). Enumeration of meanders is an important open problem. The number of meanders with

$2N$

crossings grows exponentially when

$N$

grows, but the long-standing problem on the precise asymptotics is still out of reach.
We show that the situation becomes more tractable if one additionally fixes the topological type (or the total number of minimal arcs) of a meander. Then we are able to derive simple asymptotic formulas for the numbers of meanders as

$N$

tends to infinity. We also compute the asymptotic probability of getting a simple closed curve on a sphere by identifying the endpoints of two arc systems (one on each of the two hemispheres) along the common equator.
The new tools we bring to bear are based on interpretation of meanders as square-tiled surfaces with one horizontal and one vertical cylinder. The proofs combine recent results on Masur–Veech volumes of moduli spaces of meromorphic quadratic differentials in genus zero with our new observation that horizontal and vertical separatrix diagrams of integer quadratic differentials are asymptotically uncorrelated. The additional combinatorial constraints we impose in this article yield explicit polynomial asymptotics.
Mid-Furongian trilobites and agnostids from theWujiajiania lyndasmithaeSubzone of theElviniaZone, McKay Group, southeastern British Columbia, Canada
Authors: Chatterton Brian D.E. 
Published: March 2020

AbstractA well-preserved fauna of largely articulated trilobites is described from three new localities close to one another in the Bull River Valley, southeastern British Columbia. All the trilobites from these localities are from the lower or middle part of theWujiajiania lyndasmithaeSubzone of theElviniaZone, lower Jiangshanian, in the McKay Group. Two new species are proposed with types from these localities:Aciculolenus askewiandCliffia nicoleae. The trilobite (and agnostid) fauna from these localities includes at least 20 species:Aciculolenus askewin. sp.,Agnostotes orientalis(Kobayashi, 1935),Cernuolimbus ludvigseniChatterton and Gibb, 2016,Cliffia nicoleaen. sp.,Elvinia roemeri(Shumard, 1861),Grandagnostus? species 1 of Chatterton and Gibb, 2016,Eugonocare?phillipiChatterton and Gibb, 2016,Eugonocare? sp. A,Housia vacuna(Walcott, 1912),Irvingella convexa(Kobayashi, 1935),Irvingella flohriResser, 1942,Irvingellaspecies B Chatterton and Gibb, 2016,Olenaspella chrisnewiChatterton and Gibb, 2016,Proceratopyge canadensis(Chatterton and Ludvigsen, 1998),Proceratopyge rectispinata(Troedsson, 1937),Pseudagnostuscf.P. josepha(Hall, 1863),Pseudagnostus securiger(Lake, 1906),Pseudeugonocare bispinatum(Kobayashi, 1962),Pterocephaliasp., andWujiajiania lyndasmithaeChatterton and Gibb, 2016.Pseudagnostus securiger, a widespread early Jiangshanian species, has not been previously recorded from southeastern British Columbia. Non-trilobite fossils collected from these localities include brachiopods, rare trace fossils, a complete silica sponge (Hyalospongea), and a dendroid graptolite. The faunas from these localities are more diverse and better preserved than those from other previously documented localities of the same age in the region.Additional specimens of a rare species, found by amateur collectors in previously documented localities of slightly younger age (upper part ofWujiajiania lyndasmithaeSubzone) in the same region, are documented. These new specimens, when combined with an earlier discovered specimen, provide adequate type material to propose a new species ofLabiostria, L. gibbae, which may be useful for biostratigraphy.UUID:http://zoobank.org/89551eac-b3af-4b2b-8ef3-7c2e106a560d
Smoking amongst adults experiencing homelessness: a systematic review of prevalence rates, interventions and the barriers and facilitators to quitting and staying quit
Authors: Soar Kirstie , Dawkins Lynne , Robson Deborah , Cox Sharon 
Published: March 2020

AbstractBackgroundTo date, there has been no review of the research evidence examining smoking cessation among homeless adults. The current review aimed to: (i) estimate smoking prevalence in homeless populations; (ii) explore the efficacy of smoking cessation and smoking reduction interventions for homeless individuals; and (iii) describe the barriers and facilitators to smoking cessation and smoking reduction.MethodSystematic review of peer-reviewed research. Data sources included electronic academic databases. Search terms: ‘smoking’ AND ‘homeless’ AND ‘tobacco’, including adult (18+ years) smokers accessing homeless support services.ResultsFifty-three studies met the inclusion criteria (n = 46 USA). Data could not be meta-analysed due to large methodological inconsistencies and the lack of randomised controlled trials. Smoking prevalence ranged from 57% to 82%. Although there was no clear evidence on which cessation methods work best, layered approaches with additions to usual care seemed to offer modest enhancements in quit rates. Key barriers to cessation exist around the priority of smoking, beliefs around negative impact on mental health and substance use, and environmental influences.ConclusionsHomeless smokers will benefit from layered interventions which support many of their competing needs. To best understand what works, future recommendations include the need for consensus on the reporting of cessation outcomes.
National trends and state-level variation in the duration of incoming quitline calls to 1-800-QUIT-NOW during 2012–2015
Authors: Mann Nathan , Malarcher Ann , Zhang Lei , Shaikh Asma , Thompson Jesse , Chapman LeTonya 
Published: March 2020

AbstractIntroductionThe duration of incoming quitline calls may serve as a crude proxy for the potential amount of reactive counseling provided.AimsTo explore whether call duration may be useful for monitoring quitline capacity and service delivery.MethodsUsing data on the duration of incoming quitline calls to 1-800-QUIT-NOW from 2012 through 2015, we examined national trends and state-level variation in average call duration. We estimated a regression model of average call duration as a function of total incoming calls, nationally and by state, controlling for confounders.ResultsFrom 2012 through 2015, average call duration was 11.4 min, nationally, and was 10 min or longer in 33 states. Average call duration was significantly correlated with quitline service provider. Higher incoming call volume was significantly associated with lower average call duration in 32 states and higher average call duration in five states (P-value <0.05). The relationship between call volume and call duration was not correlated with quitline service provider.ConclusionsVariation in average call duration across states likely reflects different service delivery models. Average call duration was associated with call volume in many states. Significant changes in call duration may highlight potential quitline capacity issues that warrant further investigation.
Discrimination in public accommodations
Authors: Harvey Anna , West Emily A. 
Published: March 2020

AbstractDespite widespread belief in the efficacy of statutes prohibiting discrimination in public accommodations, including protections for the use of privately provided yet publicly available services such as transportation, hotels, and restaurants, we lack causal estimates of the impacts of these statutes on the well-being of those they are designed to protect. We leverage the US Supreme Court's 1883 strike of the public accommodations provisions in the Civil Rights Act of 1875, along with variation in state-level statutes, to identify the impact of the Act's public accommodations provisions. Using a panel of repeated geo-located medical exams of US Colored Troops (USCT) and white Union Army veterans, and a series of difference-in-differences, geographic regression discontinuity, and placebo designs, estimates consistently suggest that the Court's ruling led to meaningful weight losses for USCT veterans in states without state-level public accommodations statutes. These findings suggest that statutes prohibiting discrimination in public accommodations can have significant positive impacts on the well-being of those they are designed to protect.