bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fostering regulatory processes using computational scaffolding
Authors: Silva Leonardo , Mendes António , Gomes Anabela , Fortes Gabriel 
Published: March 2023

Abstract
The use of computational scaffolding is a crucial strategy to foster students’ regulation of learning skills, which is associated with increased learning achievement. However, most interventions treat the regulatory processes as individual actions isolated from a social context. This view contradicts the most recent research that points to the importance of studying the regulatory phenomenon from a social-cognitive perspective, where students’ interactions influence their regulation of the learning process. This work explores these problems and presents multiple scaffolds to promote Self-regulation of Learning (SRL), co-regulation, and socially shared regulation of learning (SSRL) embedded within a computer-supported collaborative learning environment. A single-blind randomized controlled trial was performed with students (n = 71) enrolled in an online introductory programming course. Students were randomly assigned to three groups: 1) SRL-only support, 2) SRL, co-regulation, and SSRL support, and 3) a no support control group. The findings revealed that students who received regulatory support achieved higher course grades than the control group. However, only students who received SSRL and co-regulation support achieved superior performance in collaborative activities, confirming the importance of this type of regulation. Even though students did not increase in SRL aptitude, the intervention provided support for achieving higher grades in the course.
A qualitative investigation of infusing products with service via strategic alliances among SMEs: a case of servitization
Authors: Pombo Diogo , Franco Mário 
Published: March 2023

AbstractThis study aims to understand the role of strategic alliances in successful SME servitization. A qualitative approach was adopted, elaborating a script for semi-structured interviews to be applied to some SMEs. Based on content analysis and using NVivo software, it is concluded that servitization and alliances are two strategies that are connected, with a complementary relation, through the share of resources and knowledge, creating competitive advantages and adding value to business models, while also improving the final client’s experience. This study intends to contribute more insights to provide SME owners–managers with the results of combining the two strategies analysed here.
Appraising Forgeability and Surface Cracking in New Generation Cast and Wrought Superalloys
Authors: Fernandez-Alvarez M. , Vaasudevan A. , Fischer E. , Rae C. , Witulski T. , Galindo-Nava E. I. 
Published: March 2023

AbstractSurface cracking poses a major problem in industrial forging, but the scientific understanding of the phenomenon is hampered by the difficulty of replicating it in a laboratory setting. In this work, a novel laboratory-scale experimental method is presented to investigate forgeability in new generation cast and wrought superalloys. This new approach makes possible appraising the prevalence and severity of surface cracking by mimicking the die chilling effects characteristic of hot die forging. Two highγ′-reinforced alloys are used to explore this methodology. A Gleeble thermo-mechanical simulator is used to conduct hot compression tests following a non-isothermal cycle, with the aim to simulate the cooling of the near-surface regions during the forging process. FEA simulations, sample geometry design, and heat-treatments are used to ensure the correspondence between laboratory and real-scale forging. A wide range of surface cracking results are obtained for different forging temperatures and cooling rates—proving the soundness of the method. Surprisingly, samples heated up to higher initial temperatures typically show more extensive surface cracking. These findings indicate that—along with the local mechanical conditions of the forging—die-chilling effects and forging temperatures are paramount in controlling surface cracking, as they dictate the key variables governing the distribution and kinetics ofγ′ formation.
Hörmander’s $$L^2$$-Method, $${\overline{\partial }}$$-Problem and Polyanalytic Function Theory in One Complex Variable
Authors: Alpay Daniel , Colombo Fabrizio , Diki Kamal , Sabadini Irene , Struppa Daniele C. 
Published: March 2023

AbstractIn this paper we consider the classical $${\overline{\partial }}$$

∂
¯

-problem in the case of one complex variable both for analytic and polyanalytic data. We apply the decomposition property of polyanalytic functions in order to construct particular solutions of this problem and obtain new Hörmander type estimates using suitable powers of the Cauchy-Riemann operator. We also compute particular solutions of the $${\overline{\partial }}$$

∂
¯

-problem for specific polyanalytic data such as the Itô complex Hermite polynomials and polyanalytic Fock kernels.
EZ-InSAR: An easy-to-use open-source toolbox for mapping ground surface deformation using satellite interferometric synthetic aperture radar
Authors: Hrysiewicz Alexis , Wang Xiaowen , Holohan Eoghan P. 
Published: March 2023

AbstractSatellite Interferometric Synthetic Aperture Radar (InSAR) is a space-borne geodetic technique that can map ground displacement at millimetre accuracy. Via the new era for InSAR applications provided by the Copernicus Sentinel-1 SAR satellites, several open-source software packages exist for processing SAR data. These packages enable one to obtain high-quality ground deformation maps, but still require a deep understanding of InSAR theory and the related computational tools, especially when dealing with a large stack of images. Here we present an open-source toolbox, EZ-InSAR (easy-to-use InSAR), for a user-friendly implementation of InSAR displacement time series analysis with multi-temporal SAR images. EZ-InSAR integrates the three most popular and renowned open-source tools (i.e., ISCE, StaMPS, and MintPy), to generate interferograms and displacement time series by using these state-of-art algorithms within a seamless Graphical User Interface. EZ-InSAR reduces the user’s workload by automatically downloading the Sentinel-1 SAR imagery and the digital elevation model data for the user’s area of interest, and by streamlining preparation of input data stacks for the time series InSAR analysis. We illustrate the EZ-InSAR processing capabilities by mapping recent ground deformation at Campi Flegrei (> 100 mm·yr−1) and Long Valley (~ 10 mm·yr−1) calderas with both Persistent Scatterer InSAR and Small-Baseline Subset approaches. We also validate the test results by comparing the InSAR displacements with Global Navigation Satellite System measurements at those volcanoes. Our tests indicate that the EZ-InSAR toolbox provided here can serve as a valuable contribution to the community for ground deformation monitoring and geohazard evaluation, as well as for disseminating bespoke InSAR observations for all.
Progression to B acute lymphoblastic leukemia in 8p11 myeloproliferative syndrome with t(6;8)(q27;p12)
Authors: Nakamura Fumi , Seo Sachiko , Nannya Yasuhito , Ayabe Rika , Takahashi Wataru , Handa Tomoyuki , Arai Honoka , Iso Hisako , Nakamura Yuko , Nakamura Yuka , Sasaki Ko , Ichikawa Motoshi , Imai Yoichi , Ogawa Seishi , Mitani Kinuko 
Published: March 2023

Abstract8p11 myeloproliferative syndrome is a rare hematological malignancy caused by the translocation of FGFR1. Patients present with a myeloproliferative neoplasm that frequently transforms into acute myeloid leukemia or T-lymphoblastic lymphoma/leukemia. Here, we report a molecular study of a patient with 8p11 myeloproliferative syndrome who developed acute B-lymphoblastic leukemia and then transformed to mixed-phenotype acute leukemia. A 67-year-old woman was diagnosed with a myeloproliferative neoplasm with t(6;8)(q27;p12) and was monitored for polycythemia vera. Four years later, she developed acute B-lymphoblastic leukemia with an additional chromosomal abnormality of − 7. Despite two induction regimens, she failed to achieve complete remission, and leukemia transformed into mixed-phenotype leukemia. Targeted sequencing of serial bone marrow samples identified the RUNX1 L144R mutation upon transformation to B-cell leukemia. After those two induction regimens, some RUNX1 mutation-positive leukemic cells obtained the JAK2 V617F mutation, which was associated with the emergence of myeloid markers, including myeloperoxidase.
Postconditioning with Lactate-Enriched Blood for Reducing Lethal Reperfusion Injury in Humans
Authors: Koyama Takashi 
Published: March 2023

AbstractIschemic myocardium cannot survive without reperfusion. However, reperfusion of the ischemic myocardium paradoxically induces myocyte death; this phenomenon is termed lethal reperfusion injury. To date, no effective approach has been demonstrated for ST-segment elevation myocardial infarction (STEMI) in clinical settings. Recently, we demonstrated a novel approach for cardioprotection, termed postconditioning with lactate-enriched blood (PCLeB). PCLeB comprises intermittent reperfusion and timely coronary injections of lactated Ringer’s solution, which is implemented at the beginning of reperfusion. This approach is aimed at reducing lethal reperfusion injury via prolonging intracellular acidosis during the early period of reperfusion, compared with the original postconditioning protocol. Patients with STEMI treated using PCLeB have reported positive outcomes. This article represents an effort, with a perspective different from current insights, toward preventing lethal reperfusion injury, in light of the historical background of reperfusion injury research. PCLeB is considered the new approach for cardioprotection.
Graphical Abstract
A Novel Mirror Neuron Inspired Decision-Making Architecture for Human–Robot Interaction
Authors: Sobhani Mehdi , Smith Jim , Pipe Anthony , Peer Angelika 
Published: March 2023

Abstract
Inspired by the role of mirror neurons and the importance of predictions in joint action, a novel decision-making structure is proposed, designed and tested for both individual and dyadic action. The structure comprises models representing individual decision policies, policy integration layer(s), and a negotiation layer. The latter is introduced to prevent and resolve conflicts among individuals through internal simulation rather than via explicit agent-agent communication. As the main modelling tool, Dynamic Neural Fields (DNFs) were chosen. Data was captured from human-human experiments with a decision-making task performed by either one or two participants. The task involves choosing and picking blocks one by one from seven wooden blocks to create an alpha/numeric character on a 7-segment. The task is designed to be as generic as possible. Recorded hand and blocks movements were used for developing DNF-based models by optimising parameters using a genetic algorithm. Results show that decision policies can be modelled and integrated with acceptable accuracy for individual performances. In the dyadic experiment, using only individual models without the negotiation layer, the model failed to resolve conflicts. However, with the implementation of a negotiation layer, this problem could be overcome. The proposed decision-making structure based on DNFs is developed and tested for a simple pick-and-place task. However, the main primitive underlying action of this task, pick-and-place, is indeed part of many more complex tasks people perform in their day-to-day life. Paired with the possibility to gradually evolve the architecture by adding new policies on demand, the architecture provides a general framework for modelling decision-making in joint action tasks.
A Review on Tourism Carrying Capacity Assessment and a Proposal for Its Application on Geological Sites
Authors: Santos Priscila L. A. , Brilha José 
Published: March 2023

AbstractGeoconservation consists of the selection and conservation of geodiversity elements that have significant heritage value. The management of geological sites is based on specific procedures to ensure public use and minimize adverse impacts. The evaluation of the carrying capacity of geological sites is a management tool that helps to define the acceptable limits of visitation, without causing significant impacts on the integrity of these sites. This work presents a review of the carrying capacity concept and the most common methods used to assess the carrying capacity in tourist destinations. Based on this review and analysis of the advantages and disadvantages of existing methods, this work presents a method that defines a set of actions for management and calculation of the number of visitors recommended for geological sites, based on specific geoindicators for each type of site.
Centrality on the periphery: an analysis of rural settlement hierarchy in the Dutch part of the Roman limes
Authors: Verhagen Philip 
Published: March 2023

AbstractThe Lower Rhine region was of crucial importance for the Roman empire as a transit zone from Gaul to the North Sea. The river Rhine functioned both as a transport artery and as a defence line. Huge investments were made in the first century CE to protect this economic lifeline, by installing a line of forts and legionary camps along the river from Cologne up to the North Sea, known as the Lower Germanic limes. Unlike areas further south, however, its hinterland did not witness a development towards a ‘central place’ settlement pattern, but instead shows seemingly separate trajectories of development of the ‘urban’ and ‘rural’ settlements. In this paper, the apparently weak socio-economic interaction between the towns, forts and rural hinterland is analysed using a model of settlement hierarchy originally developed by Bertoncello et al. (2012). Data on building materials and ceramic imports found in archaeological surveys and excavations in the Dutch part of the region were used as indicators of socio-economic status, and settlements were classified accordingly. Statistical and spatial analysis of the resulting settlement classification revealed a weak hierarchy of rural settlement in the region, that was to some extent influenced by the development of towns.
Communicating risk and the landscape of cancer prevention — an exploratory study that examines perceptions of cancer-related genetic counseling and testing among African Americans and Latinos in the Midwest
Authors: Lumpkins Crystal Y. , Nelson Rafaela , Twizele Zawadi , Ramírez Mariana , Kimminau Kim S. , Philp Alisdair , Mustafa Reem A. , Godwin Andrew K. 
Published: March 2023

AbstractAfrican American (AA) and Latino populations are impacted disproportionately by cancer incidence and mortality compared to the general US population. Contributing to these rates are multiple inheritable cancers that impact both men and women. Some of these diseases may be detected through genetic counseling and germline DNA testing; however, AA and Latinos are unaware and have limited knowledge and thus significantly underutilize these services and technologies. Research to detect influencing factors to testing uptake has also been slow due to multiple factors. The research team followed a community-based participatory research (CBPR) approach and worked with a Community Advisory Board composed of cancer survivors and co-survivors to design the exploratory study. Six focus groups were held with a pilot sample of African Americans and Latinos who self-reported to be at-risk for cancer (N = 53). The study was held over a 2-month period where attitudes, perceptions, and beliefs about cancer risk and preference regarding cancer-related genetic counseling and testing risk communication were explored. Themes that emerged included (1) the lack of knowledge about cancer-related genetic counseling and testing; (2) cancer is feared often; (3) cancer-related genetic testing was perceived as something that could help but was also perceived as unnecessary testing that exposed individuals to medical harm; and (4) benefits to test were perceived as favorable for medical personnel but not for the patient. Implications of the study provide a unique lens to explore how lived experiences among AA and Latinos may inform strategic risk communication about cancer-related genetic counseling and testing and help advance cancer health equity. Participants viewed cancer genetic testing as important cancer risk prevention strategies. Identification of perceptions of cancer risk and cancer-related genetic counseling and testing in collaboration with members of the community is needed to bolster communication efforts among these populations.
Direction sensitive analysis of higher order jump discontinuities along circles on the sphere
Authors: Schoppert Frederic 
Published: March 2023

AbstractIn recent years, scale-discretized directional wavelets and second-generation curvelets have been introduced on the unit sphere, yielding directional and localized polynomial frames for band-limited signals. In this paper, we show that these functions are able to detect the positions and orientations of all higher order jump discontinuities which lie along circles on the 2-sphere. Specifically, we prove upper and lower estimates for the magnitude of the corresponding inner products when the analysis function is concentrated in the neighborhood of such a singularity. Although similar results already exist in certain two-dimensional settings, this paper is the first one to consider frames and signals that are given on the 2-sphere. As a side product of our investigations, we also develop a new localization bound as well as an explicit formula for the auto-correlation function for second-generation curvelets.
Effect of three commonly used aquaculture chemicals against enteropathogenic Escherichia coli and Salmonella spp.
Authors: Ferdous Jannatul , Khan Mohammed Nurul Absar , Rahman Md. Khalilur , Kamal Md. , Reza Md. Shaheed 
Published: March 2023

AbstractEnteric bacteria such as Escherichia coli and Salmonella spp. are significant fish pathogens and related to thousands of cases of food-borne diseases every year in human. Since aquatic environments are reservoirs of these pathogens, they may contaminate the food fish and result in outbreaks. Therefore, it is crucial to reduce or eliminate these pathogens from aquaculture facilities. We tested effectiveness of three commonly used aquaculture chemicals, viz., lime, hydrogen peroxide and zeolite on bacterial load, Escherichia coli and Salmonella spp. under laboratory and earthen pond conditions where they were applied at a dose recommended for freshwater aquaculture. Results of the bacteriological study showed that lime had a significant role in reducing bacterial abundance from an initial value of 1.5 × 103 to 1.9 × 103 cfu/ml and 3.9 × 103 to 6.3 × 103 to a final value of 1.2 × 103 to 1.5 × 103 cfu/ml and 1.9 × 103 to 6.3 × 103 cfu/ml within 24 h under aquaria and pond condition, respectively. A complete inactivation of E. coli was observed in lime treated aquaria and ponds 24 h post-treatment, whereas Salmonella spp. remained unaffected in pond water but inactivated under aquarium condition after same period. However, neither hydrogen peroxide nor zeolite treatment reduced total bacterial count as well as E. coli and Salmonella even after 1-week post-treatment. It is, therefore, recommended that the water treatment chemicals should be applied in aquaculture ponds at appropriate dose, and farmers need to adopt biosecurity measures to ensure food safety.
Hydrological status of the Dagu River Basin and management suggestions based on soil and water assessment tool multi-station calibration
Authors: Gao Weimin , Dai Aiquan , Wu Jialin , Li Yanbin , Hou Jin , Wang Xiulin , Li Keqiang 
Published: March 2023

AbstractSoil and water assessment tool (SWAT) model was used to calculate the runoff, nitrogen and phosphorus emissions in the Dagu River Basin from 2002 to 2012 and provided preliminary suggestions on environmental protection measures. Calibration on hydrological watershed parameters was obtained from data obtained from multiple representative stations. Cluster analysis was used to group all stations, and the parameters of different representative stations were applied to the entire geographical area to reflect the hydrological conditions of the basin. Additionally, the spatiotemporal changes and pollution source characteristics of nitrogen and phosphorus were analyzed. Anthropogenic sources—chemical fertilizer loss and livestock breeding—accounted for 49.9–29.6% of total nitrogen (TN) and 41.4% and 40.3% of total phosphorus (TP), respectively. Non-point sources accounted for 85.8% of the TN and 89.4% of the TP. Six landscape management practices were set up to evaluate the reduction effect on non-point source pollution loads, and comprehensive measures were proposed to reduce TN (TP) by ~ 70%. According to water quality model, the response relationship between river control and nutrient distribution in Jiaozhou Bay is calculated. Based on the findings, we propose an optimal control scheme for non-point source pollution in the Dagu River Basin and other similar basins.
Estimating electrical resistivity from logging data for oil wells using machine learning
Authors: Al-Fakih Abdulrahman , Ibrahim Ahmed Farid , Elkatatny Salaheldin , Abdulraheem Abdulazeez 
Published: March 2023

AbstractFormation resistivity is crucial for calculating water saturation, which, in turn, is used to estimate the stock-tank oil initially in place. However, obtaining a complete resistivity log can be challenging due to high costs, equipment failure, or data loss. To overcome this issue, this study introduces novel machine learning models that can be used to predict the electrical resistivity of oil wells, using conventional well logs. The analysis utilized gamma-ray (GR), delta time compressional logs (DTC), sonic shear log (DSTM), neutron porosity, and bulk density. The study utilized a dataset of 3529 logging data points from horizontal oil carbonate wells which were used to develop different machine learning models using random forest (RF) and decision tree (DT) algorithms. The obtained results showed that both models can predict electrical resistivity with high accuracy, over 0.94 for training and testing data. Comparing the models based on accuracy and consistency revealed that the RF model had a slight advantage over the DT model. Based on the data analysis, it was found that the formation resistivity is more significantly impacted by GR logs compared to DTC logs. These new ML models offer a low-cost and practical alternative to estimate well resistivity in oil wells, providing valuable information for geophysical and geological interpretation.