bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementing cognitive behavioral therapy‐enhanced in a routine inpatient and outpatient setting: Comparing effectiveness and treatment costs in two consecutive cohorts
Authors: van den Berg Elske , Schlochtermeier Daniela , Koenders Jitske , de Mooij Liselotte , Goudriaan Anneke , Blankers Matthijs , Peen Jaap , Dekker Jack 
Published: January 2020

AbstractBackgroundEven though evidence‐based interventions can enhance clinical outcomes and cost effectiveness, in the field of eating disorders, implementation of empirically supported treatments (ESTs) in routine inpatient and outpatient settings is slow.ObjectiveThis study examined differential (cost‐) effectiveness, after implementing evidence‐based cognitive behavioral therapy‐enhanced (CBT‐E) throughout a Dutch treatment center.MethodTwo consecutive cohorts of adult patients, BMI between 17.5 and 40, were compared, with one cohort (N = 239) receiving treatment‐as‐usual (TAU) between 2012 and 2014 and the other (N = 320) receiving CBT‐E between 2015 and 2017.ResultsEating disorder pathology, measured with self‐reports, decreased significantly in both cohorts; overall, no differences in clinical outcomes between both cohorts were found. Treatment costs and treatment duration were considerably lower in 2015–2017. When limiting the cost analysis to direct costs, there is a 71% likelihood that CBT‐E is more cost‐effective and a 29% likelihood that CBT‐E leads to fewer remissions at lower costs, based on the distribution of the cost‐effectiveness plane. The likelihood that TAU leads to lower costs is 0%.DiscussionFindings show that implementing an EST throughout inpatient and outpatient settings leads to lower costs with similar treatment effect and has the advantage of shorter treatment duration and a shorter inpatient stay.
Interactions between different eating patterns on recurrent binge‐eating behavior: A machine learning approach
Authors: Linardon Jake , Messer Mariel , Helms Eric R. , McLean Courtney , Incerti Lisa , Fuller‐Tyszkiewicz Matthew 
Published: January 2020

AbstractObjectivePrevious research has shown that certain eating patterns (rigid restraint, flexible restraint, intuitive eating) are differentially related to binge eating. However, despite the distinctiveness of these eating patterns, evidence suggests that they are not mutually exclusive. Using a machine learning‐based decision tree classification analysis, we examined the interactions between different eating patterns in distinguishing recurrent (defined as ≥4 episodes the past month) from nonrecurrent binge eating.MethodData were analyzed from 1,341 participants. Participants were classified as either with (n = 512) or without (n = 829) recurrent binge eating.ResultsApproximately 70% of participants could be accurately classified as with or without recurrent binge eating. Intuitive eating emerged as the most important classifier of recurrent binge eating, with 75% of those with above‐average intuitive eating scores being classified without recurrent binge eating. Those with concurrently low intuitive eating and high dichotomous thinking scores were the group most likely to be classified with recurrent binge eating (84% incidence). Low intuitive eating scores were associated with low binge‐eating classification rates only if both dichotomous thinking and rigid restraint scores were low (33% incidence). Low flexible restraint scores amplified the relationship between high rigid restraint and recurrent binge eating (81% incidence), and both a higher and lower BMI further interacted with these variables to increase recurrent binge‐eating rates.ConclusionFindings suggest that the presence versus absence of recurrent binge eating may be distinguished by the interaction among multiple eating patterns. Confirmatory studies are needed to test the interactive hypotheses generated by these exploratory analyses.
Fatty acid‐based diet estimates suggest ringed seal remain the main prey of southern Beaufort Sea polar bears despite recent use of onshore food resources
Authors: Bourque Jennifer , Atwood Todd C. , Divoky George J. , Stewart Connie , McKinney Melissa A. 
Published: January 2020

AbstractPolar bears (Ursus maritimus) from the southern Beaufort Sea (SB) subpopulation have traditionally fed predominantly upon ice‐seals; however, as the proportion of the subpopulation using onshore habitat has recently increased, foraging on land‐based resources, including remains of subsistence‐harvested bowhead whales (Balaena mysticetus) and colonial nesting seabirds has been observed. Adipose tissue samples were collected from this subpopulation during the springs of 2013–2016 and analyzed for fatty acid signatures. Diet estimates were generated for the proportional consumption of ringed seal (Pusa hispida), bearded seal (Erignathus barbatus), and beluga whale (Delphinapterus leucas), relative to onshore foods, including bowhead whale remains and seabird, as represented by black guillemot (Cepphus grylle mandtii) nestlings and eggs. Quantitative fatty acid signature analysis (QFASA) estimated that the ice‐obligate prey, ringed seal, remained the predominant prey species of SB polar bears (46.4 ± 1.8%), with much lower consumption of bearded seal (19.6 ± 2.0%), seabird (17.0 ± 1.2%), bowhead whale (15.0 ± 1.4%), and hardly any beluga whale (2.0 ± 0.5%). Adult and subadult females appeared to depend more on the traditional ringed seal prey than adult and subadult males. Diet estimates of SB polar bears showed significant interannual variability for all prey (F12, 456 = 3.17, p < .001). Longer‐term estimates suggested that both types of onshore prey, bowhead whale remains and seabird, have represented a moderate proportion of the food resources used by SB polar bears since at least the start of the 21st Century.
Microfluidic formation of highly monodispersed multiple cored droplets using needle‐based system in parallel mode
Authors: Lian Zheng , Chan Yue , Luo Yang , Yang Xiaogang , Koh Kai Seng , Wang Jing , Chen George Zheng , Ren Yong , He Jun 
Published: January 2020

AbstractScale‐up in droplet microfluidics achieved by increasing the number of devices running in parallel or increasing the droplet makers in the same device can compromise the narrow droplet‐size distribution, or requires high fabrication cost, when glass‐ or polymer‐based microdevices are used. This paper reports a novel way using parallelization of needle‐based microfluidic systems to form highly monodispersed droplets with enhanced production rates yet in cost‐effective way, even when forming higher order emulsions with complex inner structure. Parallelization of multiple needle‐based devices could be realized by applying commercially available two‐way connecters and 3D‐printed four‐way connectors. The production rates of droplets could be enhanced around fourfold (over 660 droplets/min) to eightfold (over 1300 droplets/min) by two‐way connecters and four‐way connectors, respectively, for the production of the same kind of droplets than a single droplet maker (160 droplets/min). Additionally, parallelization of four‐needle sets with each needle specification ranging from 34G to 20G allows for simultaneous generation of four groups of PDMS microdroplets with each group having distinct size yet high monodispersity (CV < 3%). Up to six cores can be encapsulated in double emulsion using two parallelly connected devices via tuning the capillary number of middle phase in a range of 1.31 × 10−4 to 4.64 × 10−4. This study leads to enhanced production yields of droplets and enables the formation of groups of droplets simultaneously to meet extensive needs of biomedical and environmental applications, such as microcapsules with variable dosages for drug delivery or drug screening, or microcapsules with wide range of absorbent loadings for water treatment.
Ultrasonic treatment of textile dye effluent utilizing microwave‐assisted activated carbon
Authors: Maheshwari Karishma , Solanki Yogendra S. , Ridoy Md Sabbir Hossain , Agarwal Madhu , Dohare Rajeev , Gupta Ragini 
Published: January 2020

AbstractPorous microwave irradiated activated carbon has been developed and its application for time efficient ultrasonic treatment of Congo‐red (CR) dye. The maximum removal efficiency of 97.73% was obtained using developed adsorbent with ultrasound treatment. The optimum parameters for maximum dye removal were obtained that is, contact time of 2 hr, adsorbent dose of 0.2 g, neutral pH, room temperature, and initial CR‐effluent concentration of 10 mg/l. Adsorption isotherms models, kinetics of the process, and thermodynamic analysis have been evaluated to investigate the adsorption performance. The pseudo second order rate kinetics (R2 = 0.99) and Langmuir equilibrium isotherm (R2 = 0.99) were well fitted to the experimental data. It has been found that microwave synthesized method was better technique in terms of energy savings, and ultrasonic treatment approach was efficient technique in terms of operational time. The combination of microwave‐ultrasonic reported to have an adsorptive capacity of 75.75 mg/g with least energy‐cost consuming approach.
Moving set‐up room theory of weakening the mining pressure caused by the backfilling body in solid backfilling mining
Authors: Zhang Qiang , Zhang Jixiong , Chen Yang , Ntigurirwa Jean Damascene , Xia Kangqi 
Published: January 2020

AbstractThe core of backfilling mining is to reduce the mining pressure in order to achieve precise control of strata position and status. Since disturbances and damages to the original rocks of the stope by set‐up room and backfilling working face are low, and due to the similar ground behavior mechanism, the “moving set‐up room” theory (short as MSUR [moving set‐up room] theory) is proposed to characterize the reduction of mining pressure caused by the backfilling body. The scientific connotation includes the qualitative characterization of the mining status, quantitative expression of the mining pressure weakening degree, and critical conditions while weakening the mining pressure caused by the backfilling body in the stope, as well as controlling the mining pressure in the stope based on the weakening effect. By combining with the analysis of the controlling features of backfilling mining pressure in the stope and the stress and displacement evolutions, the concept and characteristics of the MSUR theory of backfilling stopes were proposed. Simultaneously, the qualitative and quantitative scientific characterization methods of MSUR were investigated. Therefore, solutions to the critical conditions of the MSUR effect were proposed, and the control of mining pressure in the stope was designed based on the MSUR theory. This study provides references for precise control of strata position and status in backfilling mining.
Technological assessment and modeling of energy‐related CO2 emissions for the G8 countries by using hybrid IWO algorithm based on SVM
Authors: Ghazvini Mahyar , Dehghani Madvar Mohammad , Ahmadi Mohammad Hossein , Rezaei Mohammad Hossein , El Haj Assad Mamdouh , Nabipour Narjes , Kumar Ravinder 
Published: January 2020

AbstractRecently, energy‐related CO2 emissions are considered as one of the most crucial issues and are promptly augmented due to further urbanization. In this paper, in order to model and calculate yearly CO2 emission, an artificial neural network is used. For the first time, the IWO‐SVM method has been applied in modeling energy‐related CO2 emissions. In this regard, consumption of different energy sources such as renewable energy, natural gas, coal, and oil, and GDP of the G8 countries in various years (from 1990 to 2016) are regarded as input in the present study. For the aim of evaluating the exact ability of the SVM and SVM‐IWO models, the performance of these models in three different modes is carried out on the basis of the number of data in the test and train sections. For this purpose, implementations are split into three categories (a = 80% of the data for the train section and 20% for the test section; b = 70% of the data for the train section and 30% for the test section; and c = 60% of the data for the train section and 40% for the test section). Furthermore, five scenarios were selected on the basis of the number of input parameters and input parameters for achieving the best model. As indicated in the results in all scenarios, the correlation of the model with the hybrid invasive weed algorithm based on SVM is more favorable than that in the support vector machine model, due to better training of the SVM‐IWO model than the SVM model. Moreover, the technological orientations of the G8 countries to mitigate CO2 emissions are determined through patent analysis. While the patents have essential information, investigating the published patent by a country could be helpful for determination of technological orientations. Hence, all published patents by these countries are extracted and deeply analyzed. In the next step, to find out main technological approaches, all patents and their intents have been studied. Eventually, the technological life cycles and trends of each main technology are drawn.
Perfluoroalkyl Substances Increase Susceptibility of Northern Leopard Frog Tadpoles to Trematode Infection
Authors: Brown Sophia R. , Flynn R. Wesley , Hoverman Jason T. 
Published: January 2020

Abstract
Per/polyfluoroalkyl substances (PFAS) are contaminants of emerging concern that can impair immune function, yet few studies have tested whether exposure increases infection risk. Using laboratory experiments, we found that exposure to 10 ppb of perfluorohexanesulfonic acid increased trematode (Echinoparyphium lineage 3) infections in larval northern leopard frogs (Lithobates pipiens). However, there was no effect of perfluorooctanesulfonic acid. Our results demonstrate that PFAS can potentially enhance infection risk in natural systems. Environ Toxicol Chem 2021;40:689–694. © 2020 SETAC
Do credit booms predict US recessions?
Authors: Mihai Marius M. 
Published: January 2020

AbstractThis paper investigates the role of bank credit in predicting US recessions since the 1960s in the context of a bivariate probit model. A set of results emerge. First, credit booms are shown to have strong positive effects in predicting declines in the business cycle at horizons ranging from 6 to 9 months. Second, I propose to isolate the effect of credit booms by identifying the contribution of excess bank liquidity alongside a housing factor in the downturn of each cycle. Third, the out‐of‐sample performance of the model is tested on the most recent credit‐driven recession: the Great Recession of 2008. The model performs better than a more parsimonious version where we restrict the effect of credit booms on the business cycle in the system to be zero.
Bank risk‐taking and market discipline: Evidence from CoCo bonds in Korea
Authors: Lee Younghwan , Park Haerang 
Published: January 2020

AbstractWe investigate whether the risk profile of contingent convertible (CoCo) bonds is well‐priced by testing the sensitivity of bond spreads to bank asset volatility. While equity holders (bankers) have an incentive to make riskier investments to trigger the write‐off, such risk‐taking behavior can be contained if CoCo bond investors punish it by demanding higher returns. We have found that investors in the Korean financial market understand the risk profile of CoCo bonds and require higher returns for the additional bank risk, which suggests the presence of market discipline with regard to CoCo bonds.
A fixel‐based analysis of micro‐ and macro‐structural changes to white matter following adult traumatic brain injury
Authors: Wallace Erica J. , Mathias Jane L. , Ward Lynn , Fripp Jurgen , Rose Stephen , Pannek Kerstin 
Published: January 2020

AbstractDiffusion tensor imaging is often used to assess white matter (WM) changes following traumatic brain injury (TBI), but is limited in voxels that contain multiple fibre tracts. Fixel‐based analysis (FBA) addresses this limitation by using a novel method of analysing high angular resolution diffusion‐weighted imaging (HARDI) data. FBA examines three aspects of each fibre tract within a voxel: tissue micro‐structure (fibre density [FD]), tissue macro‐structure (fibre‐bundle cross section [FC]) and a combined measure of both (FD and fibre‐bundle cross section [FDC]). This study used FBA to identify the location and extent of micro‐ and macro‐structural changes in WM following TBI. A large TBI sample (Nmild = 133, Nmoderate–severe = 29) and control group (healthy and orthopaedic; N = 107) underwent magnetic resonance imaging with HARDI and completed reaction time tasks approximately 7 months after their injury (range: 98–338 days). The TBI group showed micro‐structural differences (lower FD) in the corpus callosum and forceps minor, compared to controls. Subgroup analyses revealed that the mild TBI group did not differ from controls on any fixel metric, but the moderate to severe TBI group had significantly lower FD, FC and FDC in multiple WM tracts, including the corpus callosum, cerebral peduncle, internal and external capsule. The moderate to severe TBI group also had significantly slower reaction times than controls, but the mild TBI group did not. Reaction time was not related to fixel findings. Thus, the WM damage caused by moderate to severe TBI manifested as fewer axons and a reduction in the cross‐sectional area of key WM tracts.
Priority access to health care: Evidence from an exogenous policy shock
Authors: Yee Christine A. , Legler Aaron , Davies Michael , Prentice Julia , Pizer Steven 
Published: January 2020

AbstractAccess to care is an important issue in public health care systems. Unlike private systems, in which price equilibrates supply and demand, public systems often ration medical services through wait times. Access that is given on a first come, first served basis might not yield an allocation of resources that maximizes the health of a population, potentially creating suboptimal heterogeneity in wait times. In this study, we examine an access disparity between two groups of patients—established patients and new patients. We exploit an exogenous policy change—implemented by the U.S. Veterans Health Administration—that removed the disparity and homogenized the wait time. We find strong evidence that without such a policy, established patients have priority access over new patients. We discuss whether this is a suboptimal allocation of resources. We additionally find that established patient priority access is an important determinant of access for new patients; accounting for it increased the explanatory power of our statistical model of new patient wait times by a factor of five. The findings imply that policy and management decisions may be more effective in achieving the optimal distribution of access if access heterogeneity is recognized and accounted for explicitly.
Immune‐Responsive Gene 1/Itaconate Activates Nuclear Factor Erythroid 2–Related Factor 2 in Hepatocytes to Protect Against Liver Ischemia–Reperfusion Injury
Authors: Yi Zhongjie , Deng Meihong , Scott Melanie J. , Fu Guang , Loughran Patricia A. , Lei Zhao , Li Shilai , Sun Ping , Yang Chenxuan , Li Wenbo , Xu Hongbo , Huang Feizhou , Billiar Timothy R. 
Published: January 2020

Background and Aims
Itaconate, a metabolite of the tricarboxylic acid cycle, plays anti‐inflammatory roles in macrophages during endotoxemia. The mechanisms underlying its anti‐inflammatory roles have been shown to be mediated by the modulation of oxidative stress, an important mechanism of hepatic ischemia–reperfusion (I/R) injury. However, the role of itaconate in liver I/R injury is unknown.

Approach and Results
We found that deletion of immune‐responsive gene 1 (IRG1), encoding for the enzyme producing itaconate, exacerbated liver injury and systemic inflammation. Furthermore, bone marrow adoptive transfer experiments indicated that deletion of IRG1 in both hematopoietic and nonhematopoietic compartments contributes to the protection mediated by IRG1 after I/R. Interestingly, the expression of IRG1 was up‐regulated in hepatocytes after I/R and hypoxia/reoxygenation‐induced oxidative stress. Modulation of the IRG1 expression levels in hepatocytes regulated hepatocyte cell death. Importantly, addition of 4‐octyl itaconate significantly improved liver injury and hepatocyte cell death after I/R. Furthermore, our data indicated that nuclear factor erythroid 2–related factor 2 (Nrf2) is required for the protective effect of IRG1 on mouse and human hepatocytes against oxidative stress–induced injury. Our studies document the important role of IRG1 in the acute setting of sterile injury induced by I/R. Specifically, we provide evidence that the IRG1/itaconate pathway activates Nrf2‐mediated antioxidative response in hepatocytes to protect liver from I/R injury.

Conclusions
Our data expand on the importance of IRG1/itaconate in nonimmune cells and identify itaconate as a potential therapeutic strategy for this unfavorable postsurgical complication.
Effects of embryonic propofol exposure on axonal growth and locomotor activity in zebrafish
Authors: He Lin , Wang Xuan , Zheng Shan 
Published: January 2020

AbstractPrenatal propofol exposure induced neurotoxicity in the developing brains and led to persistent learning deficits in the offspring. Our goal was to use zebrafish to explore whether the decline in learning and memory was correlated with inhibition of neuronal growth after propofol exposure. Zebrafish embryos at 6 hours postfertilization (hpf) were exposed to control or 1, 2 or 4 μg/mL propofol until 48 hpf. Spontaneous locomotor activity and swimming behavior in response to dark‐to‐light photoperiod stimulation were studied in zebrafish larvae at 6 days postfertilization (dpf). The adaptability to repeated stimulation was used to indicate learning and memory function of larvae. Transgenic NBT line zebrafish was used to quantitate the effect of propofol on motor neuronal growth of embryos in vivo. Six dpf transgenic zebrafish larvae went through photoperiod stimulation after their neuronal length had been analyzed during the embryonic period. Our data indicate that embryonic exposure to 1, 2 and 4 μg/mL propofol had no adverse effect on spontaneous movement in zebrafish larvae, but 2 and 4 μg/mL propofol significantly impaired the learning and memory function of larvae. Moreover, propofol significantly inhibited axonal growth of motor neurons during the embryonic stage, which was correlated with learning and memory deficiency in larvae. Our findings demonstrate that the neuronal growth was correlated with learning and memory function, indicating the relevance of zebrafish as a new model to explore the mechanisms through which propofol induces long‐term learning and memory impairment.