bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of air quality on tourism: a systematic literature review
Authors: Eusébio Celeste , Carneiro Maria João , Madaleno Mara , Robaina Margarita , Rodrigues Vítor , Russo Michael , Relvas Hélder , Gama Carla , Lopes Myriam , Seixas Vania , Borrego Carlos , Monteiro Alexandra 
Published: April 2020

Purpose
Tourism may have important positive and negative economic, socio-cultural and environmental impacts. However, cultural and natural resources are also the base to the development of competitive destinations and changes in these resources can have an important impact on tourism development. Despite the considerable literature regarding the impacts of tourism, a limited number of studies examine the impact of the environment on tourism, specifically the impact of air quality (AQ). Therefore, this paper aims to review what is known about the impact of AQ on tourism demand, analysing the different methods and approaches used, as well as the results obtained.

Design/methodology/approach
A systematic literature review method was used to examine the state of the art in this topic and identify research gaps and new research directions. Only 26 papers were identified that examine the impact of AQ on tourism demand.

Findings
The majority of the studies were carried out in China and investigate the impact of AQ on tourism from the perspective of tourism demand. Both global (tourism demand) and individual (tourist perceptions) approaches have been used to investigate the impact of AQ on tourism.

Originality/value
This is the first systematic literature review on the impact of outdoor AQ on tourism demand. Moreover, this paper analyses the methods and approaches that have been used in the literature to examine the impact of outdoor AQ on tourism demand. The paper ends with a discussion on the identified research gaps concerning the influence of AQ on tourism development.
The use of Twitter for innovation in business markets
Authors: Cripps Helen , Singh Abhay , Mejtoft Thomas , Salo Jari 
Published: April 2020

PurposeThe purpose of this research is to investigate the use of Twitter in business as a medium for knowledge sharing and to crowdsource information to support innovation and enhance business relationships in the context of business-to-business (B2B) marketing.Design/methodology/approachThis study uses a combination of methodologies for gathering data in 52 face-to-face interviews across five countries and the downloaded posts from each of the interviewees' Twitter accounts. The tweets were analysed using structural topic modelling (STM), and then compared to the interview data. This method enabled triangulation between stated use of Twitter and respondent's actual tweets.FindingsThe research confirmed that individuals used Twitter as a source of information, ideas, promotion and innovation within their industry. Twitter facilitates building relevant business relationships through the exchange of new, expert and high-quality information within like-minded communities in real time, between companies and with their suppliers, customers and also their peers.Research limitations/implicationsAs this study covered five countries, further comparative research on the use of Twitter in the B2B context is called for. Further investigation of the formalisation of social media strategies and return on investment for social media marketing efforts is also warranted.Practical implicationsThis research highlights the business relationship building capacity of Twitter as it enables customer and peer conversations that eventually support the development of product and service innovations. Twitter has the capacity for marketers to inform and engage customers and peers in their networks on wider topics thereby building the brand of the individual users and their companies simultaneously.Originality/valueThis study focuses on interactions at the individual level illustrating that Twitter is used for both customer and peer interactions that can lead to the sourcing of ideas, knowledge and ultimately innovation. The study is novel in its methodological approach of combining structured interviews and text mining that found the topics of the interviewees' tweets aligned with their interview responses.
Consumer acceptance of social recommender systems in India
Authors: Virdi Preeti , Kalro Arti D. , Sharma Dinesh 
Published: April 2020

PurposeCollaborative filtering based recommender systems (CF–RS) are widely used to recommend products based on consumers' preference similarity. Recommendations by CF–RS merely provide suggestions as “people who bought this also bought this” while, consumers are unaware about the source of these recommendations. By amalgamating CF–RS with consumers' social network information, e-commerce sites can offer recommendation from social networks of consumers. These social network embedded systems are known as social recommender systems (SRS). The extant literature has researched on the algorithms and implementation of these systems; however, SRS have not been understood from consumers' psychological perspective. This study aims to qualitatively explore consumers' motives to accept SRS in e-commerce websites.Design/methodology/approachThis qualitative study is based on in-depth interviews of frequent online shoppers. SRS are currently not very widespread in the Indian e-commerce space; hence, a vignette was shown to respondents before they responded to the questions. Inductive qualitative content analysis method was used to analyse these interviews.FindingsThree main themes (social-gratification, self-gratification and information-gratification) emerged from the analysis. Out of these, social-gratification acts as an enabler, while self-gratification along with some elements of information-gratification act as inhibitors towards acceptance of social recommendations. Based on these gratifications, we present a conceptual model on consumer's acceptance of social recommendations.Originality/valueThis study is an initial attempt to qualitatively understand consumers' attitudes and acceptance of social recommendations on e-commerce websites, which in itself is a fairly new phenomenon.
Real estate as a new equity market sector: Market responses and return comovement
Authors: Tang Hongfei , Xie Kangzhen , Xu Xiaoqing Eleanor 
Published: April 2020

AbstractThis study examines the market responses and return comovement between real estate and financial stocks around the reclassification of real estate firms from the financial sector to a standalone new real estate sector. We find that real estate stocks experience positive abnormal returns at the announcement of new sector creation, and attract more investor attention after the announcement. In addition, the comovement between real estate and financial stocks decreases dramatically after the new sector creation. These findings demonstrate the market impact of new real estate sector creation and provide important implications for real estate investors, portfolio managers, and policy makers.
Relationship between nailfold capillary morphology and retinal thickness and retinal vessel density in primary open‐angle and angle‐closure glaucoma
Authors: Rong Xin , Cai Yu , Li Mei , Chen Xuling , Kang Lei , Yang Liu 
Published: April 2020

AbstractPurposeTo compare the morphological characteristics of the nailfold capillaries in glaucoma patients with those in healthy subjects. To evaluate the relationship of nailfold capillary morphology with retinal thickness and retinal vessel density in patients with primary open‐angle (POAG) and primary angle‐closure glaucoma (PACG).MethodsFifty‐one patients with normal‐tension glaucoma, thirty‐two patients with hypertension glaucoma, thirty‐two PACG patients and sixty‐one healthy subjects were included in this cross‐sectional study. Patients with connective tissue diseases or taking anticoagulation or antiplatelet agents were excluded. Nailfold capillaroscopy, spectral‐domain optical coherence tomography and optical coherence tomography angiography were used to evaluate the nailfold capillary morphology, retinal thickness and retinal vessel density, respectively.ResultsNailfold capillary morphological features, including lower capillary density, greater tortuosity, more dilated capillaries >50 μm and more avascular zones >100 μm, were more common in POAG and PACG patients than in control subjects (all p < 0.001). In the POAG group, nailfold vessel density was negatively correlated with ganglion cell complex (GCC) thickness (odds ratio [OR] = 0.908, p = 0.010) and radial peripapillary capillary (RPC) density (OR = 0.787, p = 0.025). Tortuosity degree was negatively associated with RPC density (OR = 0.804, p = 0.016). In the PACG group, no evident relationship between nailfold capillary morphology and retinal thickness or retinal vessel density was detected (all p > 0.05).ConclusionsNailfold capillary bed abnormalities were observed in both POAG and PACG patients. The nailfold capillary features, especially microvascular density and tortuosity degree, had a significant association with GCC thickness and RPC density in subjects with POAG but not in those with PACG.
Governing partnerships for development in post‐conflict settings: Evidence from a longitudinal case study in Colombia
Authors: Pfisterer Stella , Van Tulder Rob 
Published: April 2020

AbstractDrawing on a longitudinal case study of a 10‐year cross‐sector partnership for development in Colombia, this paper makes three contributions to current discussions on new collaborative governance approaches in which business, non‐governmental organizations and development agencies jointly address development challenges. First, our study explores how partnerships can be successful in achieving longer term development while being designed as short‐term governance arrangements. Second, we shed light on how power asymmetries can shape partnership governance. Many studies have highlighted the negative aspects of donor involvement in cross‐sector partnerships. We identify, however, that an interplay of formal and informal governance in partnerships can provide a positive enabling framework for partner relationships to grow and mature. Third, the case highlights that the studied partnership employed governance mechanisms that facilitate local ownership and empower small‐scale farmers, which effected (longer term) value chain relationships. In this regard, our case study helps to understand governance processes and conditions under which transformative local partnerships can emerge and sustain in post‐conflict settings. The paper adds observations on the collaborative governance content that is required for a more integrative research approach to corporate contributions to development.
Improving inference for nonlinear state‐space models of animal population dynamics given biased sequential life stage data
Authors: Polansky Leo , Newman Ken B. , Mitchell Lara 
Published: April 2020

AbstractState‐space models (SSMs) are a popular tool for modeling animal abundances. Inference difficulties for simple linear SSMs are well known, particularly in relation to simultaneous estimation of process and observation variances. Several remedies to overcome estimation problems have been studied for relatively simple SSMs, but whether these challenges and proposed remedies apply for nonlinear stage‐structured SSMs, an important class of ecological models, is less well understood. Here we identify improvements for inference about nonlinear stage‐structured SSMs fit with biased sequential life stage data. Theoretical analyses indicate parameter identifiability requires covariates in the state processes. Simulation studies show that plugging in externally estimated observation variances, as opposed to jointly estimating them with other parameters, reduces bias and standard error of estimates. In contrast to previous results for simple linear SSMs, strong confounding between jointly estimated process and observation variance parameters was not found in the models explored here. However, when observation variance was also estimated in the motivating case study, the resulting process variance estimates were implausibly low (near‐zero). As SSMs are used in increasingly complex ways, understanding when inference can be expected to be successful, and what aids it, becomes more important. Our study illustrates (a) the need for relevant process covariates and (b) the benefits of using externally estimated observation variances for inference about nonlinear stage‐structured SSMs.
Predicting conversion to Alzheimer's disease among individual high‐risk patients using the Characterizing AD Risk Events index model
Authors: Lu Xiang , Chen Jiu , Shu Hao , Wang Zan , Shi Yong‐mei , Yuan Yong‐gui , Xie Chun‐ming , Liao Wen‐xiang , Su Fan , Shi Ya‐chen , Zhang Zhi‐jun 
Published: April 2020

AbstractAimsBoth amnestic mild cognitive impairment (aMCI) and remitted late‐onset depression (rLOD) confer a high risk of developing Alzheimer's disease (AD). This study aims to determine whether the Characterizing AD Risk Events (CARE) index model can effectively predict conversion in individuals at high risk for AD development either in an independent aMCI population or in an rLOD population.MethodsThe CARE index model was constructed based on the event‐based probabilistic framework fusion of AD biomarkers to differentiate individuals progressing to AD from cognitively stable individuals in the aMCI population (27 stable subjects, 6 progressive subjects) and rLOD population (29 stable subjects, 10 progressive subjects) during the follow‐up period.ResultsAD diagnoses were predicted in the aMCI population with a balanced accuracy of 80.6%, a sensitivity of 83.3%, and a specificity of 77.8%. They were also predicted in the rLOD population with a balanced accuracy of 74.5%, a sensitivity of 80.0%, and a specificity of 69.0%. In addition, the CARE index scores were observed to be negatively correlated with the composite Z scores for episodic memory (R2 = .17, P < .001) at baseline in the combined high‐risk population (N = 72).ConclusionsThe CARE index model can be used for the prediction of conversion to AD in both aMCI and rLOD populations effectively. Additionally, it can be used to monitor the disease severity of patients.
Management of heart failure and type 2 diabetes mellitus: Maximizing complementary drug therapy
Authors: Butler Javed , Januzzi James L. , Rosenstock Julio 
Published: April 2020

AbstractType 2 diabetes mellitus (T2DM) is a major risk factor for cardiovascular disease and occurs in ~25% of patients with heart failure (HF). Patients with co‐morbid HF and T2DM are at elevated risk of adverse outcomes, making optimization of complementary drug therapies essential. While research is ongoing, recent advances in drug therapy, including the introduction of sacubitril/valsartan for HF with reduced ejection fraction and the finding of positive cardiovascular effects of glucose‐lowering agents (particularly sodium‐glucose co‐transporter‐2 [SGLT2] inhibitors) have the potential to transform pharmacologic management of co‐morbid HF and T2DM. In this review, we provide a comprehensive overview of cardiovascular clinical trials of therapies for HF and diabetes mellitus to date and identify areas requiring further investigation. We also discuss the pathophysiologic overlap of the two diseases and explore the complementary therapeutic effects of HF and T2DM drugs, with a particular focus on sacubitril/valsartan and SGLT2 inhibitors.
Metabolic surgery for the treatment of type 2 diabetes: A network meta‐analysis of randomized controlled trials
Authors: Cresci Barbara , Cosentino Claudia , Monami Matteo , Mannucci Edoardo 
Published: April 2020

AbstractAimTo compare different types of metabolic surgery (MS) with medical therapy (MT) for the treatment of type 2 diabetes (T2D).Materials and methodsWe conducted a network‐meta‐analysis (NMA) including randomized clinical trials comparing different MS techniques versus MT in people with T2D, with a duration of ≥24 weeks. Primary endpoints were glycated haemoglobin (HbA1c), fasting plasma glucose (FPG) and diabetes remission. Indirect comparisons of different types of surgery were performed by NMA. Mean and 95% confidence intervals for continuous variables, and Mantel−Haenzel odds ratios for categorial variables, were calculated using random effect models. Types of MS included: laparoscopic adjustable gastric banding (LAGB), Roux‐en‐Y gastric bypass, sleeve gastrectomy (SG), bilio‐pancreatic diversion (BPD); greater curvature plication (GCP); one‐anastomosis gastric bypass (OAGB); and duodenojejunal bypass.ResultsThe 24 retrieved trials included 1351 patients (1014 with MS and 337 with MT). The mean baseline BMI was 36.8 kg/m2. MS was associated with significantly greater reductions in HbA1c and FPG and greater diabetes remission when compared to MT. In the NMA, a significant reduction in HbA1c was observed with OAGB and SG. All surgical procedures were associated with a significant increase in diabetes remission, except GCP and LAGB. All procedures were associated with a reduction of body mass index (BMI).ConclusionsMetabolic surgery is an interesting option for the treatment of T2D, although further data are needed to demonstrate its long‐term efficacy and safety. Present data are not sufficient to modify current recommendations, which consider MS a possible treatment for T2D in those with a BMI >35 kg/m2.
Uric acid predicts long‐term cardiovascular risk in type 2 diabetes but does not mediate the benefits of fenofibrate: The FIELD study
Authors: Cao Jacob Y. , Waldman Boris , O’Connell Rachel , Sullivan David R. , Scott Russell S. , Aryal Nanda , Gebski Val , Marschner Ian , Taskinen Marja‐Riitta , Simes John R. , McGill Neil , Jenkins Alicia J. , Keech Anthony C. ,   FIELD investigators
Published: April 2020

AbstractAimTo explore the relationship between baseline uric acid (UA) levels and long‐term cardiovascular events in adults with type 2 diabetes (T2D) and to determine whether the cardioprotective effects of fenofibrate are partly mediated through its UA‐lowering effects.MethodsData from the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) trial were utilized, comprising 9795 adults with T2D randomly allocated to treatment with fenofibrate or matching placebo. Plasma UA was measured before and after a 6‐week, active fenofibrate run‐in phase in all participants. Cox proportional hazards models were used to explore the relationships between baseline UA, pre‐to‐post run‐in reductions in UA and long‐term cardiovascular outcomes.ResultsMean baseline plasma UA was 0.33 mmol/L (SD 0.08). Baseline UA was a significant predictor of long‐term cardiovascular events, with every 0.1 mmol/L higher UA conferring a 21% increase in event rate (HR 1.21, 95% CI 1.13‐1.29, P < .001). This remained significant after adjustment for treatment allocation, cardiovascular risk factors and renal function. The extent of UA reduction during fenofibrate run‐in was also a significant predictor of long‐term cardiovascular events, with every 0.1 mmol/L greater reduction conferring a 14% lower long‐term risk (HR 0.86, 95% CI 0.76‐0.97, P = .015). This effect was not modified by treatment allocation (Pinteraction = .77).ConclusionsUA is a strong independent predictor of long‐term cardiovascular risk in adults with T2D. Although greater reduction in UA on fenofibrate is predictive of lower cardiovascular risk, this does not appear to mediate the cardioprotective effects of fenofibrate.
DO CONSUMERS NEED MORE PROTECTION FROM SMALL‐DOLLAR LENDERS? HISTORICAL EVIDENCE AND A ROADMAP FOR FUTURE RESEARCH
Authors: Bolen J. Brandon , Elliehausen Gregory , Miller Thomas W. 
Published: April 2020

We summarize the current debate surrounding four small‐dollar credit products: pawn loans, vehicle title loans, payday loans, and cash installment loans from finance companies. We review the contributions of scholars that inform this debate. We underscore that users of these products fit the description of those whom consumer credit models predict benefit from these products. Many studies find that, on average, consumer use of small‐dollar credit products is, at worst, innocuous. There are, however, findings of heterogeneity in borrowers' experiences. The disagreements surrounding these credit products and the difficulty in crafting the proper policy response stems from this heterogeneity. (JEL D18, G23)
Uncertainty and the Great Slump†
Authors: Lennard Jason 
Published: April 2020

AbstractThis article investigates the impact of economic policy uncertainty on the British interwar economy. The first type of evidence examined is qualitative. The historical record shows that contemporaries regularly reported the incidence and consequences of major uncertainty shocks. The second type of evidence analysed is quantitative. Based on a new index of economic policy uncertainty constructed from newspapers and vector autoregressions, the results suggest that uncertainty was an important source of economic fluctuations in Britain between the wars.
Water retention and field soil water states in a vertisol under Long‐Term direct drill and conventional tillage
Authors: Vanderlinden Karl , Pachepsky Yakov , Pedrera‐Parrilla Aura , Martinez Gonzalo , Espejo‐Pérez Antonio , Perea Francisco , Giráldez Juan 
Published: April 2020

AbstractUnderstanding differences in the agro‐hydrologic performance of Vertisols under conventional tillage (CT) and direct drill (DD) requires a thorough knowledge of the soil hydraulic properties. We measured water retention on 54 undisturbed topsoil (0–0.05 m) samples collected at the CT and DD plots from a long‐term experiment. Water retention was significantly larger in DD (p < .05) for absolute pressure heads (|h|) ranging from 63 to 3.2 × 103 cm, and at 1.8 × 104 and 3.3 × 104 cm. A comparison of the equivalent pore‐size distributions showed combined effects of tillage in the CT topsoil and compaction as a result of machinery traffic and natural consolidation in the DD topsoil, increasing and decreasing the amount of the largest pores in CT and DD, respectively, in favour of a larger abundance of smaller equivalent pore‐sizes in DD than in CT. Significant differences in water retention and abundance of equivalent pore sizes near the dry end of the soil water retention curve (|h| ≈ 4 × 104 cm) appear to be associated with the larger organic matter content in DD. These results were corroborated by field‐measured soil water content data (0–0.10 and 0.25–0.35 m), showing a persistently larger soil water content in DD than the spatial average of both tillage systems. Differences in the observed trimodal soil water content probability density functions between CT and DD were related to equivalent pore‐sizes for which significantly different water retentions were measured. This work elucidates direct and indirect effects of soil management on water retention and the equivalent pore‐size distribution, with important consequences for the soil´s agro‐hydrologic performance.Highlights
Water retention, pore‐size distribution and field soil water states of a vertisol under conventional tillage and direct drill are compared
Direct drill yields larger water retention for 63 < |h| < 3.2 × 103 cm, and at |h| = 1.8 × 104 and 3.3 × 104 cm.
Larger water retention near |h| ≈ 4 × 104 cm in direct drill is associated with larger organic matter content
Field soil water states are controlled by specific SWRC and pore‐size distribution ranges in both management systems