bluuebunny/crossref_metadata_2025_split huggingface dataset:
Validation of demand pull strategies for accomplishing sustainable development in manufacturing organizations through structural equation modeling
Authors: Singla Anuj , Ahuja Inderpreet Singh , Sethi Amanpreet Singh 
Published: February 2018

Purpose
The purpose of this paper is to investigate as well as select various significant demand pull (DP) strategies affecting sustainable development (SD) in manufacturing organizations. The study deploys the structural equation modeling (SEM) technique to empirically validate the interrelationships between significant DP strategies and SD indicators in an SEM-DP Model.

Design/methodology/approach
Confirmatory factor analysis approach is applied to generate an effective SEM-DP model using the AMOS 21 (Analysis of Moment Structures) software. The data have been collected from different manufacturing organizations practicing DP strategies, using a well-framed DP questionnaire for the evolution of the SEM-DP model.

Findings
SEM of various DP strategies like stringent implementation of government regulations (SIGR), transforming capabilities, unionized labor (UL), and customer attributes (CA) toward achieving SD in manufacturing industries has been performed. The SEM-DP model has been planned and reports obtained before and after modification indices of the model are correlated, which further establishes improvements in the model’s effectiveness. The research concludes that significant DP strategies, namely, SIGR, UL, and CA support the manufacturing industries in accomplishing SD in terms of competitiveness, business performance enhancements, flexibility, customer satisfaction, and technological development.

Research limitations/implications
In the present study, contributions of DP practices are determined to accomplish SD in Indian manufacturing organizations only. Hence, the results obtained may need some modifications before applying to other countries. Moreover, issue-wise independent modeling can also be performed to assess the importance of DP practices under specific orientations.

Social implications
The results of various interrelationships among DP practices and SD indicators in the SEM-DP model portray the effectiveness of DP practices for achieving organizational goals and social commitments.

Originality/value
The outcomes of the study will help DP practitioners, organizational managers, and HR executives in the manufacturing industries to develop a clear understanding about the significant DP strategies to be followed holistically for accomplishing SD. The manufacturing enterprises will be able to frame and organize their policies, handle their UL issues and CA in a more appropriate way. Hence, the knowledge obtained from present study will help improve the overall performance of manufacturing industries involved in the present context.
Can stock market liquidity and volatility predict business cycles?
Authors: Carlston Benjamin 
Published: February 2018

Purpose
The purpose of this paper is to predict real gross domestic product (GDP) growth and business cycles by using information from both liquidity and volatility measures.

Design/methodology/approach
The paper estimates liquidity and volatility measures from over 5,000 NYSE rms and extracts a common factor, which the paper calls uncertainty. In-sample and out-of-sample forecasting tests are used to determine the ability of the uncertainty factor to predict growth in real GDP, industrial production, consumer price index, real consumption and changes in real investment.

Findings
The paper finds that on average, positive shocks to the uncertainty factor occur in the quarters preceding and at the beginning of a recession. During the quarters toward the end of recessions, there are negative shocks to uncertainty on average.

Originality/value
Previous research has explored using either liquidity or volatility to forecast economic activity. The paper bridges the two branches of research and finds a link to real GDP growth and business cycles.
In–Bi low-temperature SLID bonding for piezoelectric materials
Authors: Aasmundtveit Knut E. , Eggen Trym , Manh Tung , Nguyen Hoang-Vu 
Published: February 2018

Purpose
This paper aims to demonstrate low-temperature bonding for piezoelectric materials at temperatures well below the relevant Curie temperatures so as to avoid depolarization of the piezoelectric material during bonding.

Design/methodology/approach
Au-coated test samples of lead zirconate titanate (PZT) are bonded to a WC-based resonant backing layer with In–Bi eutectic material in which the In–Bi metal system is a preform or thin, evaporated layers. The bonded samples are characterized using electrical impedance spectroscopy and cross-section microscopy. The first technique verifies the integrity of polarization and reveals the quality of the bondline in a non-destructive manner, particularly looking for voids and delaminations. The latter technique is destructive but gives more precise information and an overview of the structure.

Findings
Successful low-temperature (115°C) bonding with intact PZT polarization was demonstrated. The bondlines show a layered structure of Au/Au–In intermetallic compounds (with Bi inclusions)/Au, capable of withstanding temperatures as high as 271°C before remelting occurs. For bonded samples using In–Bi preform, repeatable bonds of high quality (very little voiding) were obtained, but the bonding time is long (1 h or more). For bonded samples using evaporated thin films of In–Bi, bonding can be performed in 30 min, but the process needs further optimization to be repeatable.

Originality/value
Low-temperature solid-liquid interdiffusion (SLID) bonding is a novel technique, merging the fields of low-temperature solder bonding with the SLID/transient liquid phase (TLP) approach, which is normally used for much higher temperatures.
Aligning age-friendly and dementia-friendly communities in the UK
Authors: Turner Natalie , Cannon Stacy 
Published: February 2018

Purpose
The purpose of this paper is to set out the history and origins of dementia-friendly communities (DFCs) and age-friendly communities (AFCs) in the UK, the differing frameworks and how they compare, and set out some key messages about how they might learn from each other.

Design/methodology/approach
This paper is a summary piece written by leaders in the two fields.

Findings
It aims to reduce potential confusion around AFCs and DFCs, and provides some practical ways that the two initiatives might work together and find common ground. By learning from each other, both age-friendly and DFCs can grow their reach and their impact as complementary, and not competing, programmes.

Originality/value
The original development of some of the ideas in this paper comes from a paper Natalie Turner co-wrote with Lydia Morken at AARP (www.aarp.org/content/dam/aarp/livable-communities/documents-2016/Better-Together-Research-Report.pdf). For this paper, the authors reviewed the approach within the UK context and have furthered and added to the original insights.
Positions and saliency of immigration in party manifestos: A novel dataset using crowd coding
Authors: LEHMANN POLA , ZOBEL MALISA 
Published: February 2018

AbstractImmigration is one of the most widely debated issues today. It has, therefore, also become an important issue in party competition, and radical right parties are trying to exploit the issue. This opens up many pressing questions for researchers. To answer these questions, data on the self‐ascribed and unified party positions on immigration and immigrant integration issues is needed. So far, researchers have relied on expert survey data, media analysis data and ‘proxy’ categories from the Manifesto Project Dataset. However, the former two only give the mediated party position, and the latter relies on proxies that do not specifically measure immigration. The new dataset presented in this article provides researchers with party positions and saliency estimates on two issue dimensions – immigration and immigrant integration – in 14 countries and 43 elections. Deriving the data from manifestos enables the provision of parties’ unified and unfiltered immigration positions for countries and time points not covered in expert surveys and media studies, making it possible to link immigration and immigrant integration positions and saliency scores to other issue areas covered in the Manifesto Project Dataset. Well‐established criteria are used to distinguish between statements on (1) immigration control and (2) immigrant integration. This allows for a more fine‐grained analysis along these two dimensions. Furthermore, the dataset has been generated using the new method of crowd coding, which allows a relatively fast manual coding of political texts. Some of the advantages of crowd coding are that it is easily replicated and expanded, and, as such, presents the research community with the opportunity to amend and expand upon this coding scheme.
Key Design Considerations When Calculating Cost Savings for Population Health Management Programs in an Observational Setting
Authors: Murphy Shannon M. E. , Hough Douglas E. , Sylvia Martha L. , Dunbar Linda J. , Frick Kevin D. 
Published: February 2018

ObjectiveTo illustrate the impact of key quasi‐experimental design elements on cost savings measurement for population health management (PHM) programs.Data SourcesPopulation health management program records and Medicaid claims and enrollment data from December 2011 through March 2016.Study DesignThe study uses a difference‐in‐difference design to compare changes in cost and utilization outcomes between program participants and propensity score‐matched nonparticipants. Comparisons of measured savings are made based on (1) stable versus dynamic population enrollment and (2) all eligible versus enrolled‐only participant definitions. Options for the operationalization of time are also discussed.Data Collection/Extraction MethodsIndividual‐level Medicaid administrative and claims data and PHM program records are used to match study groups on baseline risk factors and assess changes in costs and utilization.Principal FindingsSavings estimates are statistically similar but smaller in magnitude when eliminating variability based on duration of population enrollment and when evaluating program impact on the entire target population. Measurement in calendar time, when possible, simplifies interpretability.ConclusionProgram evaluation design elements, including population stability and participant definitions, can influence the estimated magnitude of program savings for the payer and should be considered carefully. Time specifications can also affect interpretability and usefulness.
The Sydney Triage to Admission Risk Tool (START): A prospective validation study
Authors: Ebker‐White Anja A , Bein Kendall J , Dinh Michael M 
Published: February 2018

AbstractObjectiveThe present study aims to prospectively validate the Sydney Triage to Admission Risk Tool (START) to predict ED disposition.MethodsThis was a prospective validation study at two metropolitan EDs in Sydney, Australia. Consecutive triage encounters were observed by a trained researcher and START scores calculated. The primary outcome was patient disposition (discharge or inpatient admission) from the ED. Multivariable logistic regression was used to estimate area under curve of receiver operator characteristic (AUC ROC) for START scores as well as START score in combination with other variables such as frailty, general practitioner referral, overcrowding and major medical comorbidities.ResultsThere were 894 patients analysed during the study period. The START score when applied to the data had AUC ROC of 0.80 (95% CI 0.77–0.83). The inclusion of other clinical variables identified at triage did not improve the overall performance of the model with an AUC ROC of 0.81 (95% CI 0.78–0.84) in the present study.ConclusionThe overall performance of the START tool with respect to model discrimination and accuracy has been prospectively validated. Further clinical trials are required to test the clinical effectiveness of the tool in improving patient flow and overall ED performance.
Effects of Bioreactor‐Oxygenation During Extracorporeal Granulocytes Treatment in Septic Patients
Authors: Sauer Martin , Richter Georg , Altrichter Jens , Wild Thomas , Doß Fanny , Mencke Thomas , Ehler Johannes , Doß Sandra , Koch Stephanie , Schubert Anton , Nöldge‐Schomburg Gabriele , Mitzner Steffen R 
Published: February 2018

AbstractA granulocyte bioreactor for the extracorporeal treatment was developed to enhance the immune cell function in patients with severe sepsis. The influence of oxygenation on the used cells was tested in a prospective clinical study. Ten patients with severe sepsis were treated twice with the granulocyte bioreactor. The used cells were screened for functionality; values of blood gases, glucose and lactate were obtained from the recirculating bioreactor circuit. Five patients were treated with an oxygenator setup (Oxy group), five without oxygenator (Non‐Oxy group). The overall in‐hospital mortality was 50%. Significantly lower values of oxygen saturation, partial oxygen pressure, lactate, oxyburst and phagocytosis were seen in the Non‐Oxy group compared with the Oxy group in the bioreactor circuit. Further studies with this approach are encouraged and should focus on the influence of oxygenation on production of reactive oxygen species and cytokines of used cells.
Effectiveness of a Specialized Brief Intervention for At‐risk Drinkers in an Emergency Department: Short‐term Results of a Randomized Controlled Trial
Authors: Bruguera Pol , Barrio Pablo , Oliveras Clara , Braddick Fleur , Gavotti Carolina , Bruguera Carla , López‐Pelayo Hugo , Miquel Laia , Segura Lídia , Colom Joan , Ortega Lluisa , Vieta Eduard , Gual Antoni 
Published: February 2018

AbstractBackgroundScreening, Brief Intervention, and Referral to Treatment (SBIRT) programs have been developed, evaluated, and shown to be effective, particularly in primary care and general practice. Nevertheless, effectiveness of SBIRT in emergency departments (EDs) has not been clearly established.ObjectiveWe aimed to evaluate the feasibility and efficacy of an SBIRT program conducted by highly specialized professionals in the ED of a tertiary hospital.MethodsWe conducted a randomized controlled trial to study the feasibility and efficacy of an SBIRT program conducted by alcohol specialists for at‐risk drinkers presenting to the ED, measured with the three‐item version of the Alcohol Use Disorder Identification Test (AUDIT‐C). Patients were randomized to two groups, with the control group receiving two leaflets—one regarding alcohol use and the other giving information about the study protocol. The intervention group received the same leaflets as well as a brief motivational intervention on alcohol use and, where appropriate, a referral to specialized treatment. The primary outcomes were the proportion of at‐risk alcohol use measured by AUDIT‐C scale and the proportion of patients attending specialized treatment at 1.5 months.ResultsOf 3,027 patients presenting to the ED, 2,044 (67%) were potentially eligible to participate, 247 (12%) screened positive for at‐risk drinking, and 200 agreed to participate. Seventy‐two percent of the participating sample were men, and the mean (±SD) age was 43 (±16.7) years. Follow‐up rates were 76.5%. At 1.5 months, the intervention group showed greater reductions in alcohol consumption and fewer patients continuing with at‐risk alcohol use (27.8% vs. 48.1%; p = 0.01). The SBIRT program also increased the probability of attending specialized treatment, compared to the control condition (23% vs. 9.8%, p = 0.0119)ConclusionThe SBIRT program in the ED was found to be feasible and effective in identifying at‐risk drinkers, reducing at‐risk alcohol use, and increasing treatment for alcohol problems.
Acute Ethanol Inhibition of Adult Hippocampal Neurogenesis Involves CB1 Cannabinoid Receptor Signaling
Authors: Khatri Dal , Laroche Genevieve , Grant Marion L. , Jones Victoria M. , Vetreno Ryan P. , Crews Fulton T. , Mukhopadhyay Somnath 
Published: February 2018

BackgroundChronic ethanol (EtOH) exposure has been found to inhibit adult hippocampal neurogenesis in multiple models of alcohol addiction. However, acute EtOH inhibition of adult neurogenesis is not well studied. Although many abused drugs have been found to inhibit adult neurogenesis, few have studied cannabinoids or cannabinoids with EtOH, although human use of both together is becoming more common. We used an acute binge alcohol drinking model in combination with select cannabinoid receptor agonists and antagonists to investigate the actions of each alone and together on hippocampal neurogenesis.MethodsAdult male Wistar rats were treated with an acute binge dose of EtOH (5 g/kg, i.g.), cannabinoid 1 receptor (CB1R) or cannabinoid 2 receptor (CB2R) agonists, as well as selective cannabinoid (CB) antagonists, alone or combined. Hippocampal doublecortin (DCX), Ki67, and activated cleaved caspase‐3 (CC3) immunohistochemistry were used to assess neurogenesis, neuroprogenitor proliferation, and cell death, respectively.ResultsWe found that treatment with EtOH or the CB1R agonist, arachidonoyl‐2′‐chloroethylamide (ACEA), and the combination significantly reduced DCX‐positive neurons (DCX + IR) in dentate gyrus (DG) and increased CC3. Further, using an inhibitor of endocannabinoid metabolism, for example, JZL195, we also found reduced DCX + IR neurogenesis. Treatment with 2 different CB1R antagonists (AM251 or SR141716) reversed both CB1R agonist and EtOH inhibition of adult neurogenesis. CB2R agonist HU‐308 treatment did not produce any significant change in DCX + IR. Interestingly, neither EtOH nor CB1R agonist produced any alteration in cell proliferation in DG as measured by Ki67 + cell population, but CC3‐positive cell numbers increased following EtOH or ACEA treatment suggesting an increase in cell death.ConclusionsTogether, these findings suggest that acute CB1R cannabinoid receptor activation and binge EtOH treatment reduce neurogenesis through mechanisms involving CB1R.
Securing the Return: How EnhancedUSBorder Enforcement Fuels Cycles of Debt Migration
Authors: Johnson Richard L. , Woodhouse Murphy 
Published: February 2018

AbstractExpanded border enforcement has made unauthorised migration to theUSmore risky, costly, and prone to failure. Research on the material consequences of border enforcement for migrant‐sending households in Central America reveals that the economic hardships enforcement exacts on migrants at times diminishes enforcement's desired deterrent power. Heightened risks have driven up the cost of migration and pushed many to fund their trips through loans. Consequently, migrant detention, deportation, or death can result in poverty and privation for indebted households and the seizure of loan collateral, typically homes and land, in turn prompting crises in household reproduction. With aUSwage the most viable means to ameliorate economic hardships, enforcement outcomes push some to return migration. Our findings suggest thatUSborder enforcement efforts at times perpetuate the very unauthorised migration they seek to impede, while also helping to reproduce the border itself by deepening the marginalisation that drives migration decisions.
Review shows that maternal obesity induces serious adverse neonatal effects and is associated with childhood obesity in their offspring
Authors: Mitanchez Delphine , Chavatte‐Palmer Pascale 
Published: February 2018

AbstractAimObesity at the start of pregnancy has been rising worldwide, increasing the risk of maternal complications. We reviewed the independent effects of maternal obesity during pregnancy on neonatal adverse outcomes and the risk of childhood obesity and adverse cardio‐metabolic profiles.MethodsWe searched MEDLINE for papers published in English between December 2007 and November 2017, focusing primarily on human studies published in the last five years. However, we also chose to highlight examples derived from model animals that could bring mechanistic insight and preventive and therapeutic avenues.ResultsOur review showed that maternal obesity had independent effects on neonatal adverse outcomes such as macrosomia, perinatal mortality and birth defects. Maternal obesity alone increased the risks for adverse neonatal outcomes, including macrosomia, perinatal mortality, induced preterm birth and birth defects. In association with excess gestational weight gain, mainly early in pregnancy, increased the risks of childhood obesity, higher fat mass and, to a smaller extent, adverse cardio‐metabolic profiles. Animal models highlighted sexually dimorphic responses to maternal obesity.ConclusionMaternal obesity induced serious adverse neonatal effects and was associated with childhood obesity in their offspring. The peri‐conceptional period is critical for metabolic programming, and obese women need close monitoring from conception.
CEO ACTIVISM AND SUPPLY CHAIN INTERACTIONS
Authors: HINTERECKER Harald , KOPEL Michael , RESSI Anna 
Published: February 2018

ABSTRACTIn this paper we demonstrate that hiring a manager with a propensity to over‐invest in socially and environmentally responsible production can increase firm profits if customers not only care about the responsible behavior of the market firm but also about the engagements of all players along the firm's supply chain. The new mechanism we identify relies on the complementarity of investments by the firm and its suppliers. We demonstrate that CEO activism of this kind might cause a win‐win outcome where all parties along the supply chain, the firm's customers and society can be better off.
Stress and coping mechanisms among adolescents living in orphanages: An experience from Klang Valley, Malaysia
Authors: Mohammadzadeh Marjan , Awang Hamidin , Ismail Suriani , Kadir Shahar Hayati 
Published: February 2018

AbstractIntroductionHealth issues often differ from one population to another. Assessing different aspects of the health condition is a vital step toward developing and designing appropriate prevention and treatment programs to reduce health problems in any group or population. This study aimed to assess both the prevalence of stress and the coping mechanisms as well as identify the predictors of stress levels among adolescents in Malaysian orphanages.MethodsOverall, 307 male and female adolescents (aged 13‐18 y old) living in 9 private orphanages located in Klang Valley, Malaysia, participated in this cross‐sectional study. Brief COPE scale and Depression, Anxiety and Stress Scale‐21 were used as the main instruments in the current study.ResultsThe results of the current study showed female adolescents and participants with a higher level of education were more likely to experience stress. The results also showed significant differences between boys and girls in using of coping mechanisms in self‐distraction (t = −2.39, P = .01), substance use (t = 2.12, P = .03), use of emotional support (t = −2.70, P = .001), humor (t = 2.28, P = .02), and religion (t = −2.19, P = .02). Denial, venting, religion, humor, planning, and active coping were identified as predictors of stress among participants.DiscussionThe results showed a high prevalence of stress and a negative coping pattern among participants. The finding of the current study also showed the urgency of taking immediate action to reduce stress and improve coping methods among Malaysian institutional adolescents.
Letter: innovative use of the alfapump system to treat small hepatocellular carcinoma – authors' reply
Authors: Stirnimann G. , De Gottardi A. 
Published: February 2018

Linked contentThis article is linked to Stirnimann et al and Weil et al papers. To view these articles visit https://doi.org/10.1111/apt.14331 and https://doi.org/10.1111/apt.14440.