bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sustainable roll-to-roll manufactured multi-layer smart label
Authors: Hakola Liisa , Jansson Elina , Futsch Romain , Happonen Tuomas , Thenot Victor , Depres Gael , Rougier Aline , Smolander Maria 
Published: August 2021

AbstractSustainability in electronics has a growing importance due to, e.g. increasing electronic waste, and global and European sustainability goals. Printing technologies and use of paper as a substrate enable manufacturing of sustainable electronic devices for emerging applications, such as the multi-layer anti-counterfeit label presented in this paper. This device consisted of electrochromic display (ECD) element, NFC (near field communication) tag and circuitry, all fully roll-to-roll (R2R) printed and assembled on plastic-free paper substrate, thus leading to a sustainable and recyclable device. Our setup uses harvested energy from HF field of a smartphone or reader, to switch an electrochromic display after rectification to prove authenticity of a product. Our novelty is in upscaling the manufacturing process to be fully printable and R2R processable in high-throughput conditions simulating industrial environment, i.e. in pilot scale. The printing workflow consisted of 11 R2R printed layers, all done in sufficient quality and registration. The printed antennas showed sheet resistance values of 32.9±1.9 mΩ/sq. The final yield was almost 1500 fully printed devices, and in R2R assembly over 1400 labels were integrated with 96.5% yield. All the assembled tags were readable with mobile phone NFC reader. The optical contrast (ΔE*) measured for the ECDs was over 15 for all the printed displays, a progressive switching time with a colour change visible in less than 5 s. The smart tag is ITO-free, plastic-free, fully printed in R2R and has a good stability over 50 cycles and reversible colour change from light to dark blue.
Decomposition of air pollution emissions from Swedish manufacturing
Authors: Ustyuzhanina Polina 
Published: August 2021

AbstractStarting from the ’90s, Swedish manufacturing output has been constantly growing, while emissions of some major air pollutants have been declining. This paper decomposes manufacturing pollution emissions to identify the forces associated with the abatement. It uses a newly available dataset on actual annual emissions from Swedish manufacturing and creates an index of emission intensities for the major local air pollutants to directly estimate the technique effect for the period 2007–2017. The results suggest that the main driver of the clean-up was improvements in emission intensities, while the composition of output actually moved towards more pollution-intensive goods. In the absence of changes in scale and technique, manufacturing pollution emissions would have increased in a range between 3 (particulate matter) and 20% (non-methane volatile compounds) between 2007 and 2017.
Non-symmetric isogeometric FEM-BEM couplings
Authors: Elasmi Mehdi , Erath Christoph , Kurz Stefan 
Published: August 2021

AbstractWe present a coupling of the Finite Element and the Boundary Element Method in an isogeometric framework to approximate either two-dimensional Laplace interface problems or boundary value problems consisting of two disjoint domains. We consider the Finite Element Method in the bounded domains to simulate possibly non-linear materials. The Boundary Element Method is applied in unbounded or thin domains where the material behavior is linear. The isogeometric framework allows to combine different design and analysis tools: first, we consider the same type of NURBS parameterizations for an exact geometry representation and second, we use the numerical analysis for the Galerkin approximation. Moreover, it facilitates to perform h- and p-refinements. For the sake of analysis, we consider the framework of strongly monotone and Lipschitz continuous operators to ensure well-posedness of the coupled system. Furthermore, we provide a priori error estimates. We additionally show an improved convergence behavior for the errors in functionals of the solution that may double the rate under certain assumptions. Numerical examples conclude the work which illustrate the theoretical results.
Differential evolution and particle swarm optimization against COVID-19
Authors: Piotrowski Adam P. , Piotrowska Agnieszka E. 
Published: August 2021

AbstractCOVID-19 disease, which highly affected global life in 2020, led to a rapid scientific response. Versatile optimization methods found their application in scientific studies related to COVID-19 pandemic. Differential Evolution (DE) and Particle Swarm Optimization (PSO) are two metaheuristics that for over two decades have been widely researched and used in various fields of science. In this paper a survey of DE and PSO applications for problems related with COVID-19 pandemic that were rapidly published in 2020 is presented from two different points of view: 1. practitioners seeking the appropriate method to solve particular problem, 2. experts in metaheuristics that are interested in methodological details, inter comparisons between different methods, and the ways for improvement. The effectiveness and popularity of DE and PSO is analyzed in the context of other metaheuristics used against COVID-19. It is found that in COVID-19 related studies: 1. DE and PSO are most frequently used for calibration of epidemiological models and image-based classification of patients or symptoms, but applications are versatile, even interconnecting the pandemic and humanities; 2. reporting on DE or PSO methodological details is often scarce, and the choices made are not necessarily appropriate for the particular algorithm or problem; 3. mainly the basic variants of DE and PSO that were proposed in the late XX century are applied, and research performed in recent two decades is rather ignored; 4. the number of citations and the availability of codes in various programming languages seems to be the main factors for choosing metaheuristics that are finally used.
Full population results from the core phase of CompLEEment-1, a phase 3b study of ribociclib plus letrozole as first-line therapy for advanced breast cancer in an expanded population
Authors: De Laurentiis Michelino , Borstnar Simona , Campone Mario , Warner Ellen , Bofill Javier Salvador , Jacot William , Dent Susan , Martin Miguel , Ring Alistair , Cottu Paul , Lu Janice , Ciruelos Eva , Azim Hamdy A. , Chatterjee Sanjoy , Zhou Katie , Wu Jiwen , Menon-Singh Lakshmi , Zamagni Claudio 
Published: August 2021

Abstract
Purpose
CompLEEment-1 is a phase 3b trial in an expanded patient population with hormone receptor-positive (HR +), human epidermal growth factor receptor-2–negative (HER2–) advanced breast cancer (ABC), the largest current trial of cyclin-dependent kinase 4 and 6 inhibitors in ABC.

Methods
Patients treated with ≤ 1 line of prior chemotherapy and no prior endocrine therapy for ABC received ribociclib 600 mg/day (3-weeks-on/1-week-off) plus letrozole 2.5 mg/day and additionally monthly goserelin/leuprolide in men and pre-/perimenopausal women. Eligibility criteria allowed inclusion of patients with stable CNS metastases and an Eastern Cooperative Oncology Group performance status of 2. Primary objectives were safety and tolerability, and secondary objectives were efficacy and quality of life (QoL).

Results
Overall, 3,246 patients were evaluated (median follow-up 25.4 months). Rates of all-grade and grade ≥ 3 treatment-related adverse events (AEs) were 95.2% and 67.5%, respectively. Treatment-related discontinuations due to all grade and grade ≥ 3 AEs occurred in 12.9% and 7.3% of patients, respectively. Rates of all-grade AEs of special interest (AESI) were as follows: neutropenia (74.5%), increased alanine aminotransferase (16.2%), increased aspartate aminotransferase (14.1%), and QTcF prolongation (6.7%); corresponding values for grade ≥ 3 AESI were 57.2%, 7.7%, 5.7%, and 1.0%, respectively. Median time to progression was 27.1 months (95% confidence interval, 25.7 to not reached). Patient QoL was maintained during treatment.

Conclusion
Safety and efficacy data in this expanded population were consistent with the MONALEESA-2 and MONALEESA-7 trials and support the use of ribociclib plus letrozole in the first-line setting for patients with HR + , HER2– ABC.

Trial registration
linicalTrials.gov NCT02941926.
Forward-reflected-backward method with variance reduction
Authors: Alacaoglu Ahmet , Malitsky Yura , Cevher Volkan 
Published: August 2021

AbstractWe propose a variance reduced algorithm for solving monotone variational inequalities. Without assuming strong monotonicity, cocoercivity, or boundedness of the domain, we prove almost sure convergence of the iterates generated by the algorithm to a solution. In the monotone case, the ergodic average converges with the optimal O(1/k) rate of convergence. When strong monotonicity is assumed, the algorithm converges linearly, without requiring the knowledge of strong monotonicity constant. We finalize with extensions and applications of our results to monotone inclusions, a class of non-monotone variational inequalities and Bregman projections.
Constant optimization and feature standardization in multiobjective genetic programming
Authors: Rockett Peter 
Published: August 2021

AbstractThis paper extends the numerical tuning of tree constants in genetic programming (GP) to the multiobjective domain. Using ten real-world benchmark regression datasets and employing Bayesian comparison procedures, we first consider the effects of feature standardization (without constant tuning) and conclude that standardization generally produces lower test errors, but, contrary to other recently published work, we find much less clear trend for tree sizes. In addition, we consider the effects of constant tuning – with and without feature standardization – and observe that (1) constant tuning invariably improves test error, and (2) usually decreases tree size. Combined with standardization, constant tuning produces the best test error results; tree sizes, however, are increased. We also examine the effects of applying constant tuning only once at the end a conventional GP run which turns out to be surprisingly promising. Finally, we consider the merits of using numerical procedures to tune tree constants and observe that for around half the datasets evolutionary search alone is superior whereas for the remaining half, parameter tuning is superior. We identify a number of open research questions that arise from this work.
Gender Inequalities Among Adults and Children: Exposure to Migration and the Evolution of Social Norms in Albania
Authors: Mangiavacchi Lucia , Piccoli Luca 
Published: August 2021

AbstractThis paper studies the distribution of resources within Albanian families in 2012 using a collective consumption model with two alternative specifications: the first enables the estimation of the intrahousehold distribution of resources among male adults, female adults and children; the second extends the analysis to girls and boys. In line with previous evidence on gender inequality in Albania, the results show that the female share of resources is substantially lower with respect to the male share, and that sons receive a larger share of resources than daughters. Considering that Albania experienced massive migration and return of young men in the 20 years before the survey, we further analyze the potential migration-induced transfer of gender norms. We find that the time spent abroad by the husband of the main couple has little influence on woman’s relative position within the households, however it does seem to favor a more equal treatment between daughters and sons. This result suggests that gender norms are more persistent in adult couples, however gender attitudes towards offspring are more elastic to social change.
Machine Learning in Medical Emergencies: a Systematic Review and Analysis
Authors: Mendo Inés Robles , Marques Gonçalo , de la Torre Díez Isabel , López-Coronado Miguel , Martín-Rodríguez Francisco 
Published: August 2021

AbstractDespite the increasing demand for artificial intelligence research in medicine, the functionalities of his methods in health emergency remain unclear. Therefore, the authors have conducted this systematic review and a global overview study which aims to identify, analyse, and evaluate the research available on different platforms, and its implementations in healthcare emergencies. The methodology applied for the identification and selection of the scientific studies and the different applications consist of two methods. On the one hand, the PRISMA methodology was carried out in Google Scholar, IEEE Xplore, PubMed ScienceDirect, and Scopus. On the other hand, a review of commercial applications found in the best-known commercial platforms (Android and iOS). A total of 20 studies were included in this review. Most of the included studies were of clinical decisions (n = 4, 20%) or medical services or emergency services (n = 4, 20%). Only 2 were focused on m-health (n = 2, 10%). On the other hand, 12 apps were chosen for full testing on different devices. These apps dealt with pre-hospital medical care (n = 3, 25%) or clinical decision support (n = 3, 25%). In total, half of these apps are based on machine learning based on natural language processing. Machine learning is increasingly applicable to healthcare and offers solutions to improve the efficiency and quality of healthcare. With the emergence of mobile health devices and applications that can use data and assess a patient's real-time health, machine learning is a growing trend in the healthcare industry.
Characterising the relationship between suitable habitat and gene flow for Myotis bechsteinii and Eptesicus serotinus in Britain
Authors: Wright P. G. R. , Bellamy C. , Hamilton P. B. , Schofield H. , Finch D. , Mathews F. 
Published: August 2021

Abstract
Context
Habitat suitability models (HSM) have been used to understand the impacts of landscape-scale habitat connectivity and gene flow mostly by assuming a regular decrease in the cost of movement as habitat improves. Yet, habitat selection and gene flow are governed by different behavioural processes which may limit the reliability of this approach as individuals are likely to disperse through unsuitable habitat for breeding.

Objectives
The aim of this study was to identify the optimal relationship between gene flow and HSMs for two bat species (Myotis bechsteinii and Eptesicus serotinus) in Britain by testing a range of nonlinear negative exponential functions for the transformation of HSMs into resistance surfaces.

Methods
We modelled habitat suitability using a hierarchical, multi-level approach that integrates models across three nested levels. Then, we measured the relationship between published genetics data of both species and six negative exponential transformations of the predicted outputs.

Results
The two most extreme transformations provided the best fit to genetic data for both M. bechsteinii (c = 32; R2 = 0.87) and E. serotinus (c = 16; R2 = 0.42). The negative linear transformations had the poorest fit.

Conclusions
These results suggest that bats are able to disperse through areas of poor habitat for breeding, but will avoid the most unsuitable areas. We recommend comparing multiple transformations of HSMs at different resolutions to gain a more accurate representation of gene flow across heterogeneous landscapes and to inform cost-effective, targeted management.
Discrimination and Quality of Life Among Marriage-Squeezed Men in Rural China: Unexpected Functions of Structural and Functional Social Support
Authors: Wang Sasa , Yang Xueyan , Eklund Lisa 
Published: August 2021

AbstractIn rural China, marriage-squeezed men are more likely to experience discrimination than other males. Using data collected from Anhui Province in China on marriage-squeezed men’s quality of life, this study examines the influence of discrimination on the quality of life and the buffering effect of social support among this cohort. The results show that discrimination is a strong stressor, and its negative consequences on marriage-squeezed men’s quality of life are difficult to eliminate, with social support having a limited buffering effect. Meanwhile, structural support and functional support had different functions on quality of life of marriage-squeezed men experiencing discrimination. Whereas structural support had no significant main effect on quality of life, interaction with relatives and neighbors had a buffering effect on the relationship between discrimination and quality of life. In contrast, functional support, particularly from family members, relatives, and neighbors, had positive main effects on quality of life; however, no buffering effect was observed. The findings affirm that discrimination must be addressed as an independent and important factor. Promoting marriage-squeezed men’s social ties outside the family can reduce the damaging effect of discrimination, while future research needs to seek other protective resources to maintain the men’s quality of life.
The Role of Counterions in Intermolecular Radical Coupling of Ru-bda Catalysts
Authors: de Gracia Triviño Juan Angel , Ahlquist Mårten S. G. 
Published: August 2021

AbstractIntermolecular radical coupling (also interaction of two metal centers I2M) is one of the main mechanisms for O–O bond formation in water oxidation catalysts. For Ru(bda)L2(H2bda = 2,2′-bipyridine-6,6′-dicarboxylate, L = pyridine or similar nitrogen containing heterocyclic ligands) catalysts a significant driving force in water solution is the hydrophobic effects driven by the solvent. The same catalyst has been successfully employed to generate N2from ammonia, also via I2M, but here the solvent was acetonitrile where hydrophobic effects are absent. We used a classical force field for the key intermediate [RuVIN(bda)(py)2]+to simulate the dimerization free energy by calculation of the potential mean force, in both water and acetonitrile to understand the differences and similarities. In both solvents the complex dimerizes with similar free energy profiles. In water the complexes are essentially free cations with limited ion paring, while in acetonitrile the ion-pairing is much more significant. This ion-pairing leads to significant screening of the charges, making dimerization possible despite lower solvent polarity that could lead to repulsion between the charged complexes. In water the lower ion pairing is compensated by the hydrophobic effect leading to favorable dimerization despite repulsion of the charges. A hypothetical doubly charged [RuVIIN(bda)py2]2+was also studied for deeper understanding of the charge effect. Despite the double charge the complexes only dimerized favorably in the lower dielectric solvent acetonitrile, while in water the separated state is more stable. In the doubly charged catalyst the effect of ion-pairing is even more pronounced in acetonitrile where it is fully paired similar to the 1+ complex, while in water the separation of the ions leads to greater repulsion between the two catalysts, which prevents dimerization.Graphic Abstract
Morphometric analysis and watershed prioritization in relation to soil erosion in Dudhnai Watershed
Authors: Singh W. R. , Barman S. , Tirkey G. 
Published: August 2021

AbstractMorphologic parameters of a watershed could help in segregating critical sub-watersheds for taking up conservation practices and mitigation interventions. Determination of critical watersheds or prioritization of sub-watersheds is inevitable for efficient and sustainable watershed management programs and allocation of its natural resources. The traditional methods of determination of morphologic parameters are time consuming, expensive and requires huge labor. However, the process becomes easier, cheaper and faster with the advent of Geographical Information System (GIS) and remote sensing technologies. In the present study, a combined approach of using toposheet, remotely sensed digital elevation model and morphometric ArcGIS toolbox has been adopted to determine morphometric parameters in Dudhnai river basin, a sub-basin of river Brahmaputra which is prone to both erosion and sedimentation. Seven sub-watersheds of Dudhnai have been prioritized by using the morphometric parameters and ranked them according to its vulnerability to soil erosion. The results of bifurcation ratio, drainage density, drainage intensity and constant of channel maintenance showed that Dudhnai watershed is a well-dissected watershed with less risk to flooding and soil erosion. However, significantly high values of infiltration number and ruggedness number obtained are indicative of very low infiltration which may result in high surface runoff and soil erosion. The study also revealed that channel erosion is stronger than sheet erosion in the basin. The prioritization of the sub-watersheds implied that Chil sub-watershed is the most susceptible sub-watershed that needs greater attention for soil and water conservation measures. The results of the present study could aid various stakeholders who are involved in the watershed development and management programs.
Analysis of the inhibiting action of pectin on corrosion of AISI1040 dual-phase steel with ferrite–martensite and ferrite–bainite structure: a comparison in 0.5 M sulphuric acid
Authors: Prabhu Deepa , Sharma Sathyashankara , Prabhu P. R. , Jomy Jilna , Sadanand Ramakrishna Vikas 
Published: August 2021

AbstractThe adsorption of pectin and corrosion inhibition of dual-phase AISI1040 steel with ferrite–martensite and ferrite–bainite structure in 0.5 M sulphuric acid (H2SO4) solution have been investigated using the weightloss method. This work investigates the adsorption mechanism and quantum chemical calculations of pectin. For a specific set of parameters such as immersion time and concentration of inhibitor, the maximum inhibition efficiency of 83.36% is observed. The inhibition efficiency increased with pectin concentration and decreased with immersion time at 30 ℃. The results from the statistical analysis show that the concentration of inhibitor is having the highest influence with a 43.87% contribution on the inhibition efficiency. The adsorption study revealed that the Langmuir adsorption isotherm gave the best-fit results out of all the isotherms studied. Theoretical studies based on density functional theory supported experimental observations. From the results, it was also observed that lower weight loss and better inhibition efficiency are achieved in the case of ferrite–bainite when compared to the ferrite–martensite structure. Surface characterization confirmed corrosion and inhibition on the surface of the metal as the surface became uneven when exposed to a corrosive medium and smooth when immersed in the inhibited solution.
Translating the learning sciences into practice: A primer for clinical and translational educators
Authors: Norman Marie K. , Lotrecchiano Gaetano R. 
Published: August 2021

Abstract
The learning sciences have yielded a wealth of insights about the mechanisms and conditions that promote learning, yet the findings from this body of research often do not make their way into educational practice. This fundamentally translational problem is one we believe that educators from translational fields, with their evidence-based orientation and familiarity with the challenges and importance of translation, are well-positioned to address. Here, we provide a primer on the learning sciences to guide educators in the Clinical and Translational Science Institutes and other organizations that train translational researchers. We (a) describe the unique teaching and learning environment in which this training occurs, and why it necessitates attention to learning research and its appropriate application, (b) explain what the learning sciences are, (c) distill the complex science of learning into core principles, (d) situate recent developments in the field within these principles, and (e) explain, in practical terms, how these principles can inform our teaching.