bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rutting and moisture-induced damage potential of foamed warm mix asphalt (WMA) containing RAP
Authors: Rahman Mohammad Ashiqur , Ghabchi Rouzbeh , Zaman Musharraf , Ali Syed Ashik 
Published: June 2021

AbstractDespite significant economic and environmental benefits, performance of warm mix asphalt (WMA) containing reclaimed asphalt pavement (RAP) remains a matter of concern. Among the current WMA technologies, the plant foaming technique (called “foamed WMA” in this study) has gained the most attention, since it eliminates the need for chemical additives. In the present study, the laboratory performance, namely rutting and moisture-induced damage potential of foamed WMA containing RAP were evaluated and compared with those of similar hot mix asphalt (HMA) containing identical amount of RAP. Dynamic modulus, Hamburg wheel tracking (HWT) and flow number tests were performed to assess the rutting resistance of the mixes. Also, stripping inflection point from HWT tests and tensile strength ratio after AASHTO T 283 and moisture induced sensitivity test (MIST) conditioning were used to evaluate the moisture-induced damage of asphalt mixes. It was found that MIST conditioning effectively simulates the moisture-induced damage and can capture the propensity of asphalt mixes to moisture damage more distinctly compared to AASHTO T 283 method due to application of cyclic loadings. The foamed WMA was found to exhibit higher rutting and moisture-induced damage potential due to lower mixing and compaction temperatures compared to HMA. However, the increase in RAP content was found to reduce rutting and moisture-induced damage potential for WMA. Therefore, the lower stiffness of foamed WMA may be compensated with the addition of stiffer binder from RAP.
Cultural Effects on Organizational Resilience: Evidence from the NAFTA Region
Authors: Fietz Bernhard , Hillmann Julia , Guenther Edeltraud 
Published: June 2021

AbstractThe purpose of this paper is to investigate the influence of national culture on organizational resilience, the effects of which are analyzed for companies from the North American Free Trade Agreement (NAFTA) region. This paper utilizes an etic approach to study this relationship and has an empirical design with a sample ofN = 464. The direct effect of national culture on organizational resilience is investigated. To measure national culture, this paper relies on the dimensions of Hofstede. A multiple regression analysis is applied to answer the hypotheses. Results show that the dimensions of power distance, individualism, uncertainty avoidance, and indulgence have a significant direct effect on an organization’s resilience. This paper confirms the necessity for reflecting upon the importance of national cultures to globally-working organizations. Organizations that are dedicated to proactive development in their organizational resilience must understand the cultural circumstances that might hinder resilience development. Indeed, cultural influences play a significant role in human resource trainings, choices of location, leadership styles, and managing stakeholders and external alliances to improve organizational resilience. This paper is the first to quantitatively study the relationship of national culture on organizational resilience.
Choice Behavior in Innovation Exchange Between Buyers and Sellers
Authors: Wäldchen Daniel , Glas Andreas H. , Essig Michael 
Published: June 2021

AbstractThis article extends the research on Behavioral Supply Management, and specifically characterizes the decision to exchange supplier–developed innovations. For the innovation exchange to take place, both actors in the dyad must actually make the decision to exchange an innovation with one another. Therefore, buyers’ as well as suppliers’ decision making are part of this research. The decision to exchange innovation is highly relevant, as innovations play an increasingly important role in business research. The applied methodology is a mouse-lab process-tracing experiment. The study is based on computer cursor moving and click data from 658 managers. As the conceptualized decision situation is highly specific, practitioners can build upon their business experience and are the experiment respondents. The sample includes buyer and supplier sub-groups. We differentiate our findings based on innovation intensity (i.e., incremental vs. disruptive innovations). The findings show that the intensity of an innovation does not imply different decision-making per se, although distinguishing incremental from disruptive innovation is often proposed. Furthermore, the relevance of exclusiveness (i.e., a buyer has exclusive access to a supplier’s innovation) is of minor relevance for the supplier but also for the buyer, even when these innovations are disruptive. Finally, the intensity of innovations is only relevant in high-quality buyer–supplier relationships. Under these circumstances, decision makers show irrational behavior, as they prefer alternatives with low economic benefits. That aspect points to the identification of relational decision traps and other theoretical and managerial implications.
The Colony Predation Algorithm
Authors: Tu Jiaze , Chen Huiling , Wang Mingjing , Gandomi Amir H. 
Published: June 2021

AbstractThis paper proposes a new stochastic optimizer called the Colony Predation Algorithm (CPA) based on the corporate predation of animals in nature. CPA utilizes a mathematical mapping following the strategies used by animal hunting groups, such as dispersing prey, encircling prey, supporting the most likely successful hunter, and seeking another target. Moreover, the proposed CPA introduces new features of a unique mathematical model that uses a success rate to adjust the strategy and simulate hunting animals’ selective abandonment behavior. This paper also presents a new way to deal with cross-border situations, whereby the optimal position value of a cross-border situation replaces the cross-border value to improve the algorithm’s exploitation ability. The proposed CPA was compared with state-of-the-art metaheuristics on a comprehensive set of benchmark functions for performance verification and on five classical engineering design problems to evaluate the algorithm’s efficacy in optimizing engineering problems. The results show that the proposed algorithm exhibits competitive, superior performance in different search landscapes over the other algorithms. Moreover, the source code of the CPA will be publicly available after publication.
Novel serotonin 5-HT2A receptor antagonists derived from 4-phenylcyclohexane-5-spiro-and 5-methyl-5-phenyl-hydantoin, for use as potential antiplatelet agents
Authors: Czopek Anna , Kubacka Monika , Bucki Adam , Siwek Agata , Filipek Barbara , Pawłowski Maciej , Kołaczkowski Marcin 
Published: June 2021

Abstract
Background
Antiplatelet drugs have been used in the treatment of acute coronary syndromes and for the prevention of recurrent events. Unfortunately, many patients remain resistant to the available antiplatelet treatment. Therefore, there is a clinical need to synthesize novel antiplatelet agents, which would be associated with different pathways of platelet aggregation, to develop an alternative or additional treatment for resistant patients. Recent studies have revealed that 5-HT2A receptor antagonists could constitute alternative antiplatelet therapy.

Methods
Based on the structures of the conventional 5-HT2A receptor ligands, two series of compounds with 4-phenylcyclohexane-5-spiro- or 5-methyl-5-phenyl-hydantoin core linked to various arylpiperazine moieties were synthesized and their affinity for 5-HT2A receptor was assessed. Further, we evaluated their antagonistic potency at 5-HT2A receptors using isolated rat aorta and cells expressing human 5-HT2A receptors. Finally, we studied their anti-aggregation effect and compared it with ketanserin and sarpogrelate, the reference 5-HT2A receptor antagonists. Moreover, the structure–activity relationships were studied following molecular docking to the 5-HT2A receptor model.

Results
Functional bioassays revealed some of the synthesized compounds to be moderate antagonists of 5-HT2A receptors. Among them, 13, 8-phenyl-3-(3-(4-phenylpiperazin-1-yl)propyl)-1,3-diazaspiro[4.5]decane-2,4-dione, inhibited collagen stimulated aggregation (IC50 = 27.3 μM) being more active than sarpogrelate (IC50 = 66.8 μM) and comparable with ketanserin (IC50 = 32.1 μM). Moreover, compounds 2–5, 9–11, 13, 14 inhibited 5-HT amplified, ADP- or collagen-induced aggregation.

Conclusions
Our study confirmed that the 5-HT2A antagonists effectively suppress platelet aggregation and remain an interesting option for the development of novel antiplatelet agents with an alternative mechanism of action.
Hepatic drug-metabolizing enzymes and drug transporters in Wilson’s disease patients with liver failure
Authors: Szeląg-Pieniek Sylwia , Oswald Stefan , Post Mariola , Łapczuk-Romańska Joanna , Droździk Marek , Kurzawski Mateusz 
Published: June 2021

Abstract
Background
Wilson’s disease is a genetic disorder inherited in a recessive manner, caused by mutations in the copper-transporter ATP7B. Although it is a well-known disease, currently available treatments are far from satisfactory and their efficacy varies in individual patients. Due to the lack of information about drug-metabolizing enzymes and drug transporters profile in Wilson’s disease livers, we aimed to evaluate the mRNA expression and protein abundance of selected enzymes and drug transporters in this liver disorder.

Methods
We analyzed gene expression (qPCR) and protein abundance (LC–MS/MS) of 14 drug-metabolizing enzymes and 16 drug transporters in hepatic tissue from Wilson’s disease patients with liver failure (n = 7, Child–Pugh class B and C) and metastatic control livers (n = 20).

Results
In presented work, we demonstrated a downregulation of majority of CYP450 and UGT enzymes. Gene expression of analyzed enzymes ranged between 18 and 65% compared to control group and significantly lower protein content of CYP1A1, CYP1A2, CYP2C8, CYP2C9, CYP3A4 and CYP3A5 enzymes was observed in Wilson’s disease. Moreover, a general decrease in hepatocellular uptake carriers from SLC superfamily (significant at protein level for NTCP and OATP2B1) was observed. As for ABC transporters, the protein abundance of BSEP and MRP2 was significantly lower, while levels of P-gp and MRP4 transporters were significantly higher in Wilson’s disease.

Conclusions
Altered hepatic expression of drug‐metabolizing enzymes and drug transporters in Wilson’s disease patients with liver failure may result in changes of drug pharmacokinetics in that group of patients.
RETRACTED–Assessing Hospital Adaptive Resource Allocation Strategies in Responding to Mass Casualty Incidents
Authors: Faccincani Roberto , Trucco Paolo , Nocetti Claudio , Carlucci Michele , Weinstein Eric S. 
Published: June 2021

AbstractBackground:Hospitals are expected to operate at a high performance level even under exceptional conditions of peak demand and resource disruptions. This understanding is not mature yet and there are wide areas of possible improvement. In particular, the fast mobilization and reconfiguration of resources frequently result into the severe disruption of elective activities, worsening the quality of care. This becomes particularly evident during the on-going coronavirus disease 2019 (COVID-19) pandemic. More resilient resource allocation strategies, that is, which adapt to the dynamics of the prevailing circumstance, are needed to maximize the effectiveness of health-care delivery. In this study, a simulation approach was adopted to assess and compare different hospital’s adaptive resource allocation strategies in responding to a sudden onset disaster mass casualty incident (MCI).Methods:A specific set of performance metrics was developed to take into consideration multiple objectives and priorities and holistically assess the effectiveness of health-care delivery when coping with an MCI event. Discrete event simulation (DES) and system dynamics (SD) were used to model the key hospital processes and the MCI plan.Results:In the daytime scenario, during the recovery phase of the disaster, a gradual disengagement of resources from the emergency department (ED) to restart ordinary activities in operating rooms and wards returned the best performance. In the night scenario, the absorption capacity of the ED was evaluated by identifying the current bottleneck and assessment of the benefit of different resource mobilization strategies.Conclusions:The present study offers a robust approach, effective strategies and new insights to design more resilient plans to cope with MCIs. It becomes particularly relevant when considering the risk of indirect damage of emergencies, where all the available resources are shifted from the care of the ordinary to the “disaster” patients, like during the on-going COVID-19 pandemic. Future research is needed to widen the scope of the analysis and take into consideration additional resilience capacities such as operational coordination mechanisms among multiple hospitals in the same geographic area.
Isolated CHDs and neurodevelopmental follow-up using the Bayley Scales of Infant and Toddler Development and the Ages and Stages Questionnaire at 18 and 36 months
Authors: Baunsgaard Mette Marie , Henriksen Tine B. , Gilberg Charlotte K. , Wibroe Dorthe B. , Haugsted Trine , Østergaard John R. , Hjortdal Vibeke E. , Lauridsen Mette H. 
Published: June 2021

AbstractObjectives:To compare early neurocognitive development in children born with and without isolated CHD using the Bayley Scales of Infant and Toddler Development (3rd edition) and the Ages and Stages Questionnaire (3rd edition).Methods:Recruitment took place before birth. Women expecting fetuses with and without CHD causing disturbances in the flow of oxygenated blood to the fetal brain were included in a prospective cohort study comprising fetal MRI (previously published) and neurodevelopmental follow-up. We now present the 18- and 36-month neurodevelopmental follow-up using the Bayley Scales according to age and the 6-month-above-age Ages and Stages Questionnaire in 15 children with and 27 children without CHD.Results:Children with CHD had, compared with the children without CHD, an increased risk of scoring ≤ 100 in the Bayley Scales cognition category at 18 and 36 -months; relative risk 1.7 (95% confidence interval (CI): 1.0–2.8) and 3.1 (CI: 1.2–7.5), respectively. They also achieved lower scores in the 6-month-above-age Ages and Stages Questionnaires (24 and 42 months) communication; mean z-score difference −0.72 (CI: −1.4; −0.1) and −1.06 (CI: −1.8; −0.3) and gross motor; mean z-score difference: −0.87 (CI: −1.7; −0.1) and −1.22 (CI: −2.4; −0.02) categories.Conclusions:The children with CHD achieved lower scores in the Bayley Scales cognition category and the Ages and Stages Questionnaire communication and gross motor categories possibly indicative of early neurodevelopmental deficiencies. We recommend early screening and monitoring for neurodevelopmental delays in children with CHD in order to improve further neurodevelopment and educational achievements.
A qualitative inquiry of food insecurity in Belize
Authors: Stevenson Laurel D , Reznar Melissa M , Onye Elizabeth , Bendali Amor Lynna , Lopez Andre J , DeFour Rita 
Published: June 2021

AbstractObjective:To explore and provide contextual meaning around issues surrounding food insecurity, namely factors influencing food access, as one domain of food security.Design:A community-based, qualitative inquiry using semi-structured face-to-face interviews was conducted as part of a larger sequential mixed-methods study.Setting:Cayo District, Belize, May 2019–August 2019.Participants:Thirty English-speaking individuals (eight males, twenty-two females) between the ages of 18–70, with varying family composition residing within the Cayo District.Results:Participants describe a complex interconnectedness between family- and individual-level barriers to food access. Specifically, family composition, income, education and employment influence individuals’ ability to afford and access food for themselves or their families. Participants also cite challenges with transportation and distance to food sources and educational opportunities as barriers to accessing food.Conclusion:These findings provide insight around food security and food access barriers in a middle-income country and provide avenues for further study and potential interventions. Increased and sustained investment in primary and secondary education, including programmes to support enrollment, should be a priority to decreasing food insecurity. Attention to building public infrastructure may also ease burdens around accessing foods.
Reducing Systematic Biases Over the Indian Region in CFS V2 by Dynamical Downscaling
Authors: Hari Prasad K. B. R. R. , Ramu Dandi A. , Rao Suryachandra A. , Hameed Saji N. , Samanta Dhrubajyoti , Srivastava Ankur 
Published: June 2021

AbstractThe usefulness of dynamical downscaling of seasonal reforecasts of Indian Monsoon is explored to address the seasonal mean biases in the reforecasts. Almost all the current generation global coupled models, including the Climate Forecast System version 2 (CFSv2, T126 ∼110 km), exhibit systematic mean dry bias over the central Indian region during the summer monsoon season. Cold sea surface temperature (SST) biases in the Indian Ocean and a weak monsoon circulation due to a colder tropospheric temperature contribute to this dry bias. Such systematic biases restrict the use of skillful forecasts from these models in climate applications (such as agriculture or hydrology). Dynamical downscaling of seasonal forecasts (∼110 km resolution) using the Weather Research and Forecasting (WRF) model coupled to a simple ocean mixed layer model (OML; WRFOML) at 38 km resolution significantly reduces the majority of the systematic biases reported earlier. The seasonal mean dry bias reduces to 16% in WRFOML as compared to 44% (33%) in the CFSv2‐T126 (WRFCTL) over the Indian land region. Warmer SSTs in the Indian Ocean and a more robust monsoon circulation emanating from a realistic simulation of the tropospheric temperature reduced the systematic biases in WRFOML compared to CFSv2‐T126 and WRFCTL. Additionally, category‐wise rainfall distributions are also improved drastically in the downscaled simulations (WRFOML). Downscaled reforecasts with reduced systematic biases have better suitability for climate applications.
Timing Calibration and Windowing Technique Comparison for Lightning Mapping Arrays
Authors: Hare Brian M. , Edens Harald , Krehbiel Paul , Rison William , Scholten O. , Buitink S. , Corstanje A. , Falcke H. , Hörandel J. R. , Huege Tim , Krampah G. K. , Mitra P. , Mulrey K. , Nelles Anna , Pandya Hershal , Rachen J. P. , Thoudam S. , Trinh T. N. , ter Veen S. , Winchen Tobias 
Published: June 2021

AbstractSince their introduction 22 years ago, lightning mapping arrays (LMA) have played a central role in the investigation of lightning physics. Even in recent years with the proliferation of digital interferometers and the introduction of the LOw Frequency ARray (LOFAR) radio telescope, LMAs still play an important role in lightning science. LMA networks use a simple windowing technique that records the highest pulse in either 80 μs or 10 μs fixed windows in order to apply a time‐of‐arrival location technique. In this work, we develop an LMA‐emulator that uses lightning data recorded by LOFAR to simulate an LMA, and we use it to test three new styles of pulse windowing. We show that they produce very similar results as the more traditional LMA windowing, implying that LMA lightning mapping results are relatively independent of windowing technique. In addition, each LMA station has its GPS‐conditioned clock. While the timing accuracy of GPS receivers has improved significantly over the years, they still significantly limit the timing measurements of the LMA. Recently, new time‐of‐arrival techniques have been introduced that can be used to self‐calibrate systematic offsets between different receiving stations. Applying this calibration technique to a set of data with 32 ns uncertainty, observed by the Colorado LMA, improves the timing uncertainty to 19 ns. This technique is not limited to LMAs and could be used to help calibrate future multi‐station lightning interferometers.
Evaluation of Temperature and Precipitation Simulations in CMIP6 Models Over the Tibetan Plateau
Authors: Cui Tong , Li Chao , Tian Fuqiang 
Published: June 2021

AbstractThis study presents a comprehensive evaluation of the mean and extreme surface air temperature and precipitation in the Coupled Model Intercomparison Project Phase 6 (CMIP6) multimodel ensemble simulations over the Tibetan Plateau. Simulations from 29 climate models are compared against gridded observations for the period 1961–2012. Results show that models reasonably reproduce the overall spatial patterns of the 1961–2012 averages of seasonal mean temperature and precipitation. Nevertheless, models tend to underestimate mean temperature and overestimate precipitation accumulations. To be specific, the multimodel mean estimates of seasonal average temperatures over the plateau are 0.5°C–2.6°C colder than observed, while the corresponding estimates of seasonal precipitation accumulations are 218% (spring: March–May), 76% (summer: June–August), 129% (autumn: September–November), and 533% (winter: December–February) of those observed. As in observations, models also well capture increasing trend of mean temperature and precipitation in all seasons but underestimate the rates of increasing trends for both variables in all seasons. Models’ ability to simulate temperature and precipitation extremes is also evaluated in terms of a set of chosen extreme indices defined by the Expert Team on Climate Change Detection and Indices. On average, models tend to underestimate the averages of annual maximum daily maximum temperature, annual minimum daily minimum temperature, frost days, warm nights, and consecutive dry days but overestimate the corresponding averages of annual maximum 5‐day precipitation accumulations and simply daily intensity. Generally, models are able to simulate the signs of the trends in extreme indices but underestimate their magnitudes and misrepresent spatial patterns.
Delayed Growth of Ferropericlase and Bridgmanite Controls Slab Residence at the 660‐km Discontinuity
Authors: Chapman Timothy , Clarke Geoffrey L. 
Published: June 2021

AbstractCold subducted oceanic lithosphere may stall in the uppermost portions of the lower mantle (660–700 km depth) as a consequence of its slow thermal equilibration and the negative dP/dT of reactions forming ferropericlase and bridgmanite. Evaluations of slab buoyancy in the lower parts of the transition zone have mostly neglected the effects of dynamic P–T paths and the temperature‐dependent expansion or contraction of stalled slabs. Forward predictions from mineral equilibria and thermal modeling posit slab residence at the base of the mantle transition zone for c. 150–160 Myr, dependent on geotherm and the depth of stagnation (between 660–700 km). Slab components can attain density thresholds following heating and phase transformations over distinct periods: Basaltic crust will become positively buoyant after c. 4 Myr whereas ultramafic components will become negatively buoyant after c. 150–160 Myr. Slab components may thus separate and independently transit or escape the transition zone under circumstances of equilibrated mineral assemblages. The 660 km seismic discontinuity presents a filter for the partial recycling of the upper oceanic lithosphere into the upper mantle.