bluuebunny/crossref_metadata_2025_split huggingface dataset:
‘Supporting socially shared regulation during collaborative task-oriented reading’
Authors: Kielstra Jolique , Molenaar Inge , van Steensel Roel , Verhoeven Ludo 
Published: May 2022

AbstractThis study examined how to improve students’ regulation of task-oriented reading (TOR). TOR encompasses reading and information processing needed to perform a specific task. Previous studies suggest students can benefit from a collaboration script to enhance socially shared regulation of TOR. The collaboration script elicits discussions about task perception, strategy selection, and strategy reflection. This study aimed to examine the depth and socially sharedness of metacognitive regulation when working with a collaboration script among 44 prevocational secondary school students working in groups of four. In addition, we examined the consequent improvement of individual task representation, strategy selection, and strategy reflection after working with the script. The analysis of group discussions indicated that the collaboration script facilitated mainly low-level metacognitive regulation of TOR. However, after working with the script, students did improve their ability to determine a correct representation of a high-level task and to reflect on the most appropriate reading strategy for these tasks. Hence, we concluded that the ‘Y-read?’ collaboration script did elicit shared regulation during TOR.
Melatonin photoreactivity: phosphorescence formation and quenching processes
Authors: Guðmundsson Kristján Einar , Marteinsdóttir Guðrún , Kristbergsson Kristberg , Kvaran Ágúst 
Published: May 2022

AbstractStudies of melatonin photoreactivity in water solutions: An effect of an external heavy atom I− on UV/Vis absorption, fluorescence and phosphorescence spectra is explored. The data allowed determination of relevant energetics for the system.The heavy atom effect (HAE) of I− on melatonin is clearly found to induce an intersystem crossing from the lowest energy singlet state to the lowest energy triplet state (T1) by a state mixing. Lifetime for the first excited triplet states of melatonin in association with I− and quenching rates for halomethanes (CH2X2, CHX3, CY4, X = Cl, Br, Y = Cl) are determined from Time-Correlated Single-Photon Counting decay curves for the phosphorescence. Dramatic alterations in quenching rate constants with quenchers as CH2X2 < CHX3 < CX4 and Cl < Br are attributed to energy transfer from an I−…Me*(T1) complex to low-lying electronic states of the halomethanes followed by dissociation to form R and X fragments. Relevance of the melatonin photoreactivity to photosensitizer properties in organic media is discussed.
Graphical abstract
Paralyzed by shock: the portfolio formation behavior of peer-to-business lending investors
Authors: Dorfleitner Gregor , Hornuf Lars , Weber Martina 
Published: May 2022

AbstractWe examine investor behavior on a leading peer-to-business lending platform and identify an investment mistake that we refer to as default shock bias. First, we find that investors stop investing in new loans and cease diversifying their portfolio after experiencing a loan default. The default shock significantly worsens the risk–return profile of investors’ loan portfolios. The defaults investors experience are often not beyond what would have been expected from the information that was provided by the platform ex ante. Second, investment experience on the platform is related to better investment decisions in general, but it does not reduce the default shock bias. These findings have important implications not only for the behavioral finance literature but also more generally for new forms of Internet-based finance.
The Role of Identity and Ontological (In)Security in Return Migration: an Empirical Perspective from Hungary
Authors: Lados Gabor , Hegedus Gabor , Kovacs Zoltan 
Published: May 2022

AbstractEast–West migration has become a dominant spatial phenomenon in Europe since the step-by-step enlargement of the EU, posing considerable socio-economic and demographic challenges for sending countries. However, little is known about the geopolitics and motivations that inspire a return to the country of origin. The objective of this article is to identify the motivations for emigration, adaptation experiences and decisions of Hungarian migrants who worked in the West for a period of time and returned to Hungary, based on their skills and family status before their return. The research is based on in-depth interviews with 48 returnees and builds on the cultural identity model and the notion of ontological security. The study demonstrates the growing role of geopolitics in return migration, although its relevance differs in various groups, with clear distinctions between the high- and low-skilled migrants. The role of family as a geopolitical unit is increasing; factors like their endeavour to hold the family together, fear of children’s assimilation, loss of identity and uncertainty while abroad are important in shaping decisions to return. On the other hand, schemes to enhance the return migration of the highly skilled also build on geopolitical and nationalistic rhetoric, which appear to target experiences of ontological (in)security among migrants.
High-Efficiency (Over 10%) Parallel Tandem Dye-Sensitized Solar Cells Based on Tri-Carbon Electrodes
Authors: Shao Wu , Wu Wenjun 
Published: May 2022

AbstractEnsuring high power conversion efficiency, partially or completely replacing Pt electrodes with inexpensive materials is one of the important development directions of dye-sensitized solar cells (DSSCs). In this work, we have developed a three-component (MWCNTs, carbon black and graphite) carbon (tri-carbon) electrode material for DSSC devices combined with the advantages of high electron transfer kinetics of MWCNTs, plentiful catalytic sites in crystal edges of carbon black and superior electrical conductivity and catalytic activity of graphite. Using a tri-carbon electrode, a Pt electrode, and two N719-sensitized photoanodes, a parallel tandem dye-sensitized solar cells are assembled obtaining a high PCE of 10.26% (Voc = 0.70 V, Jsc = 19.99 mA/cm2, FF = 73.33%). It opens up a new avenue for the development of low-cost and high-performance DSSCs.
Proposing a combined method for the estimation of spatial and temporal variation of crop water productivity under deficit irrigation scenarios based on the AquaCrop model
Authors: Ahmadpour Abdoreza , Farhadi Bansouleh Bahman , Azari Arash 
Published: May 2022

AbstractDeficit irrigation is a management strategy to improve crop water productivity, especially in arid and semi-arid regions. Soil characteristics and weather parameters are among the factors affecting crop water productivity in water stress conditions. Due to spatial changes in soil characteristics and temporal and spatial variations in meteorological parameters, it can be expected that crop water productivity will also have temporal and spatial variations. In this study, by combining the Geographic Information System (GIS) with the grid weather generation tools from the Crop Growth Monitoring System (CGMS) and the plug-in version of the AquaCrop, a combined method was developed to investigate the spatial and temporal variation of crop yield, seasonal crop evapotranspiration, and water productivity of maize under various irrigation scenarios. The proposed model was implemented in a case study in the west of Iran. The study area was divided into 37 grid weather with 5 * 5 km and 19 soil units. By overlaying soil units and grid weathers, 94 homogeneous units were created. The model was executed for 94 homogeneous areas, using calibrated crop file of grain maize under four irrigation scenarios of 40, 60, 80, and 100% of potential irrigation requirement (S40, S60, S80, and S100, respectively) for 28 years (1988–2015) of weather data (10,528 runs). The results showed that by increasing water stress, the percentage of spatial and temporal variation of the studied parameters (crop yield, seasonal crop water requirement, and water productivity) would be increased. The percentage of spatial changes in crop yield and crop water productivity was more significant than temporal changes. The average of crop water productivity in the scenarios of S100, S80, S60, and S40 was determined as 1.5, 1.4, 1.2, and 0.5 kg m−3, respectively.
Economic value of water for irrigation in São Francisco River Basin, Brazil
Authors: de Brito Pedro Lucas Cosmo , de Azevedo José Paulo Soares 
Published: May 2022

AbstractAgriculture is the economic activity which uses water the most in Brazil, particularly in São Francisco River Basin, where water withdrawals for irrigation granted by water authorities amount to 22.3 billion m3 per year, a number which is close to 81% of the total withdrawal. On the other hand, bulk water in Brazil is underpriced. Water charges for agricultural users neither reflect the economic value of water nor induce a rational and efficient use of water resources, two key concepts of the Brazilian water law. Even so, it is common for irrigators to complain about the water prices charged for their use of bulk water. To throw some light on the real impact of charging water in the agriculture sector, this article evaluates the economic value of irrigation water in the São Francisco River basin through the shadow price approach, calculated by using the Residual Value Method. The analysis was performed for the top ten major São Francisco River basin crops in water use terms, namely corn, soybean, mango, beans, coffee bean, banana, cotton, sugar cane, papaya and rice. Results for the 2019 harvests show that except for sugar cane, all water shadow prices were positive, notably mango, beans and papaya. This paper also evaluated water shadow prices interannual variation from 2014 to 2019 for six crops. Except for sugarcane, the other crops have been profitable most of the time in the last 6 years. A wide fluctuation in the shadow price of water was observed over these years due to variations in sales prices and costs of production.
Cyanide removal from cassava wastewater onto H3PO4 activated periwinkle shell carbon
Authors: Eke-emezie Nnanna , Etuk Benjamin Rueben , Akpan Otobong Peter , Chinweoke Okechukwu Chibuzor 
Published: May 2022

AbstractThe continuous generation of waste resulting from the industrial activities of humans has significantly been on the rise, especially liquid wastes emanating from cassava processing mills, which is a major cause for concern in developing countries. This study focused on the preparation of H3PO4 activated periwinkle carbon (APSC) and use in the removal of cyanide in cassava wastewater. The influence of variables such as pH, adsorbent dosage, contact time, and different cyanide concentrations was investigated in batch procedures. Results from the batch studies reveal a strong pH-dependent adsorption process with optimum cyanide removal occurring at pH 8. An equilibrium time of 80 min and adsorbent dosage of 3.0 g gave the highest percentage of cyanide adsorbed at 83.93%. The Pseudo-first-order, Pseudo-second-order, and Elovich kinetic models were used for the analysis of experimental data while equilibrium data analysis using Langmuir, Freundlich, and Redlich–Peterson was carried out to determine the best-fit isotherm model. The Coefficient of determination (r2), Sum of square error (SSE), and Chi-square ($$\chi^{2}$$

χ
2

) were used to estimate the error deviations between the predicted and the experimental models using nonlinear regression analysis to determine models that best explain the adsorption process. Kinetic data fitted well to the Elovich and Pseudo-second-order kinetic model which implies chemisorption as the dominant adsorption process. The Redlich–Peterson and Langmuir model best describes the adsorption process suggesting mono-layer adsorption with the monolayer adsorption capacity of APSC found to be 2.856 mg.g−1.
Data Cleaning and AutoML: Would an Optimizer Choose to Clean?
Authors: Neutatz Felix , Chen Binger , Alkhatib Yazan , Ye Jingwen , Abedjan Ziawasch 
Published: May 2022

AbstractData cleaning is widely acknowledged as an important yet tedious task when dealing with large amounts of data. Thus, there is always a cost-benefit trade-off to consider. In particular, it is important to assess this trade-off when not every data point and data error is equally important for a task. This is often the case when statistical analysis or machine learning (ML) models derive knowledge about data. If we only care about maximizing the utility score of the applications, such as accuracy or F1 scores, many tasks can afford some degree of data quality problems. Recent studies analyzed the impact of various data error types on vanilla ML tasks, showing that missing values and outliers significantly impact the outcome of such models. In this paper, we expand the setting to one where data cleaning is not considered in isolation but as an equal parameter among many other hyper-parameters that influence feature selection, regularization, and model selection. In particular, we use state-of-the-art AutoML frameworks to automatically learn the parameters that benefit a particular ML binary classification task. In our study, we see that specific cleaning routines still play a significant role but can also be entirely avoided if the choice of a specific model or the filtering of specific features diminishes the overall impact.
Assessment of LAA Strain and Thrombus Mobility and Its Impact on Thrombus Resolution—Added-Value of a Novel Echocardiographic Thrombus Tracking Method
Authors: Morais Pedro , Nelles Dominik , Vij Vivian , Al-Kassou Baravan , Weber Marcel , Nickenig Georg , Schrickel Jan Wilko , Vilaça João L. , Sedaghat Alexander 
Published: May 2022

Abstract
Purpose
The mobility of left atrial appendage (LAA) thrombi and changes hereof under anticoagulation may serve as a marker of both risk of embolism and efficacy of treatment. In this study, we sought to evaluate thrombus mobility and hypothesized that LAA dynamics and thrombus mobility could serve as a baseline marker of thrombus dissolvability.

Methods
Patients with two-dimensional transesophageal echocardiographic images of the LAA, and with evidence of LAA thrombus were included in this study. Using a speckle tracking algorithm, functional information from the LAA and thrombi of different patients was computed. While the LAA motion was quantified through the longitudinal strain, thrombus mobility was evaluated using a novel method by directly tracking the thrombus, isolated from the global cardiac motion. Baseline characteristics and echocardiographic parameters were compared between responders (thrombus resolution) and non-responders (thrombus persistence) to anticoagulation.

Results
We included 35 patients with atrial fibrillation with evidence of LAA thrombi. Patients had a mean age of 72.9 ± 14.1 years, exhibited a high risk for thromboembolism (CHA2DS2-VASc-Score 4.1 ± 1.5) and had moderately reduced LVEF (41.7 ± 14.4%) and signs of diastolic dysfunction (E/E′ = 19.7 ± 8.5). While anticoagulation was initiated in all patients, resolution was achieved in 51.4% of patients. Significantly higher LAA peak strain (− 3.0 ± 1.3 vs. − 1.6 ± 1.5%, p < 0.01) and thrombus mobility (0.33 ± 0.13 mm vs. 0.18 ± 0.08 mm, p < 0.01) were observed in patients in whom thrombi resolved (i.e. responders against non-responders). Receiver operating characteristic (ROC) analysis revealed a high discriminatory ability for thrombus mobility with regards to thrombus resolution (AUC 0.89).

Conclusion
Isolated tracking of thrombus mobility from echocardiographic images is feasible. In patients with LAA thrombus, higher thrombus mobility appeared to be associated with thrombus resolution. Future studies should be conducted to evaluate the role of the described technique to predict LAA thrombus resolution or persistence.
Asymptotic profile for a two-terms time fractional diffusion problem
Authors: D’Abbicco Marcello , Girardi Giovanni 
Published: May 2022

AbstractWe consider the Cauchy-type problem associated to the time fractional partial differential equation:$$\begin{aligned} {\left\{ \begin{array}{ll} \partial _t u+\partial _t^{\beta }u-\varDelta u=g(t,x), &{} t>0, \ x\in {\mathbb {R}}^n \\ u(0,x)=u_0(x), \end{array}\right. } \end{aligned}$$∂tu+∂tβu-Δu=g(t,x),t>0,x∈Rnu(0,x)=u0(x),with$$\beta \in (0,1)$$β∈(0,1), where the fractional derivative$$\partial _t^{\beta }$$∂tβis in Caputo sense. We provide a sufficient condition on the right-hand termg(t, x) to obtain a solution in$${\mathcal {C}}_b([0,\infty ),H^s)$$Cb([0,∞),Hs). We exploit a dissipative-smoothing effect which allows to describe the asymptotic profile of the solution in low space dimension.
Sintering behavior of alumina whisker reinforced zirconia ceramics in hot oscillatory pressing
Authors: He Hongtian , Zhao Rui , Tian Hongyi , Shao Gang , Wang Hailong , Fan Bingbing , Lu Hongxia , Xu Hongliang , Zhang Rui , An Li-nan 
Published: May 2022

AbstractAlumina whisker reinforced zirconia ceramic composite was prepared by both hot oscillatory pressing (HOP) and conventional hot pressing (HP). The results show that compared with HP, HOP can significantly increase the final density and densification rate of the material. Analysis of densification kinetics reveals that the predominant densification mechanism transits from grain boundary sliding in the beginning to the diffusion in the later stage. The main effect of the oscillating pressure is to increase the densification rate in the process of grain boundary sliding. The current study suggests that HOP is a promising technique for densifying whisker reinforced ceramics.
Survey on clothing image retrieval with cross-domain
Authors: Ning Chen , Di Yang , Menglu Li 
Published: May 2022

AbstractThe paper summarizes the research progress on critical region recognition and deep metric learning to achieve accurate clothing image retrieval in cross-domain situations. Critical region recognition is of great value for the clothing feature extraction, effectively improving retrieval accuracy. The accuracy will decrease when solving difficult samples with similar features but different categories. Nowadays, deep metric learning is an effective way to solve this problem, which utilizes the optimization of different loss functions and ensemble network to strengthen the discrimination of clothing features. Therefore, through comparison of the experimental results of different algorithms and analysis of the accuracy of cross-domain clothing retrieval, it is demonstrated that the improvement of the retrieval accuracy in the future mainly depends on clothing important feature extraction and clothing feature discrimination.
Amelioration of acidic soil using fly Ash for Mine Revegetation in Post-Mining Land
Authors: Hamanaka Akihiro , Sasaoka Takashi , Shimada Hideki , Matsumoto Shinji 
Published: May 2022

AbstractThis paper described the use of fly ash for soil amelioration of acidic soils to promote plant growth. In mining sites, acid sulfate soils/rocks, which contain sulfide minerals (e.g. pyrite FeS2), have appeared as a result of overburden excavation. The excessively acidic condition inhibits plant growth due to the dissolution of harmful elements, such as Al, Fe, and Mn. Fly ash, an alkaline byproduct of coal combustion generated in thermal power plants is expected to be adopted to ameliorate acidic soils. However, the mixing ratio of fly ash must be considered because excessive addition of fly ash can have a negative impact on plant growth due to its physical/chemical properties. The pot trials using Acacia mangium demonstrate the evolution of plant growth with a 5%–10% addition of fly ash into acidic soil. When the acidic soil has a high potential for metal dissolution, the metal ions leached from the acidic soil are large, making it difficult to improve plant growth due to osmotic and ionic stress. This work suggests that the effects of fly ash on metal ions leached from the soil have to be considered for the amelioration of acidic soil.
“Test-As-You-Go” for Hot Spots Policing: Continuous Impact Assessment with Repeat Crossover Designs
Authors: Sherman Lawrence W. 
Published: May 2022

Abstract
Hot spots policing is rapidly changing its evidence-base. Instead of producing more results of one-off, conventional experiments that provide an evidence-base across police agencies (Braga et al., (Campbell Systematic Reviews, 15(3), 2019), hot spots policing (HSP) experiments in the UK are now providing continuous impact assessment (CIA) within police agencies, and within each hot spot. This new mission for experiments entails a change in research design, from the conventionally fixed assignment of each hot spot to a single treatment (in what is technically called a “parallel-track” design) to alternating treatments for each hot spot (in what is known as a “repeat crossover” design). Crossover design experiments are designed for an “on”-days-versus- “off”-days, “test-as-you-go” operating model, using test results in each hot spot for immediate operational feedback to improve performance. This feature can empower police supervisors with compelling evidence for officers about their impact on crime in recent weeks. This approach has great promise, but it also has a great threat. The promise is for integrating evidence more tightly with daily police operations. The threat is that crossover tests may underestimate the true benefits of HSP because they ignore the lingering, “residual deterrence” effects of HSP “on” days continuing into “off” days without HSP. That “carryover” effect of HSP in prior days may take up to 4 days to “wash out” (Barnes et al., 2020). Until it does, crime during HSP “off” days may be lower than if there had been no recent HSP “on” days, thus making HSP look less effective than it truly is. This problem is purely a matter of what analysts do, rather than what police officers do. As long as the officers deliver on their assigned tasks of which hot spots to patrol when, both research designs can have validity. But the problem of how to analyze the effects of these patrols is up to the analysts to solve. If the analysts handle the problem by deleting a certain number of days in between treatment changes for each hot spot—technically known as a “washout” period—they will provide valid impact assessments of HSP. More important, they can do that with a design that requires no long-term denial of service to large numbers of hot spots assigned to a control group, as in traditional random assignment to parallel tracks of treatment vs. control (e.g., Sherman & Weisburd, (Justice Quarterly, 625–648, 1995)).Repeat crossover trials are therefore an excellent improvement over parallel-track trials, subject to omitting crime measures from the washout period for eliminating carryover effects during crossover periods from one treatment condition to another. The following discussion shows how analysts and police leaders can use and implement crossover designs with high internal validity, without biased measures of crime on control days.