bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Stories We Tell: Colorblind Racism, Classblindness, and Narrative Framing in the Rural Midwest☆
Authors: Gonzales Teresa Irene , Thissell Elizabeth M. , Thorat Soumitra 
Published: August 2022

AbstractThe stories we tell about ourselves and our communities have the power to impact perceptions of marginalized communities, both positively and negatively. Narratives affect how people view themselves, their town, and other members of their community and thus shape personal interactions, local culture, social situations, and even decisions about allocation of resources. When those stories are rooted in discursive frames—what we can understand as the links between ideology and narrative—they can also perpetuate and reify power inequities. Within rural America, local elites and residents alike use narratives and discursive framing to erase or exclude communities of color and, at times, poor whites in unique ways. This happens through explicit and willful ignorance of narratives of difference that could both complicate normative assumptions and highlight histories of dispossession within rural towns. Drawing on 30 interviews and 12 months of ethnography in the midwestern town of Moses, we provide a case study that demonstrates how narratives perpetuated by both decision makers and residents, across racial and class backgrounds, are rooted in colorblind racism and classblindness regarding African Americans, Mexican Americans, and poor whites. These narratives frame perceptions of residents and neighborhoods, influence town‐level decisions, and erase local histories.
The COVID‐19 pandemic, mask‐wearing, and emotion recognition during late‐childhood
Authors: Chester Maia , Plate Rista C. , Powell Tralucia , Rodriguez Yuheiry , Wagner Nicholas J. , Waller Rebecca 
Published: August 2022

AbstractFace masks are an effective and important tool to prevent the spread of COVID‐19, including among children. However, occluding parts of the face can impact emotion recognition, which is fundamental to effective social interactions. Social distancing, stress, and changes to routines because of the pandemic have also altered the social landscape of children, with implications for social development. To better understand how social input and context impact emotion recognition, the current study investigated emotion recognition in children (7–12 years old, N = 131) using images of both masked and unmasked emotional faces. We also assessed a subsample of participants (“pre‐pandemic subsample,” n = 35) who had completed the same emotion recognition task with unmasked faces before and during the pandemic. Masking of faces was related to worse emotion recognition, with more pronounced effects for happy, sad, and fearful faces than angry and neutral faces. Masking was more strongly related to emotion recognition among children whose families reported greater social disruption in response to the pandemic. Finally, in the pre‐pandemic subsample, emotion recognition of sad faces was lower during versus before the pandemic relative to other emotions. Together, findings show that occluding face parts and the broader social context (i.e., global pandemic) both impact emotion‐relevant judgments in school‐aged children.
Cumulative mean fluorescent intensities of HLA specific antibodies predict antibody mediated rejections after kidney transplantation
Authors: Heinemann Falko Markus , Lindemann Monika , Keles Deniz , Witzke Oliver , Kribben Andreas , Baba Hideo Andreas , Becker Jan Ulrich , Heinold Andreas , Horn Peter Alexander , Eisenberger Ute 
Published: August 2022

It is still not fully elucidated which pretransplant donor‐specific HLA antibodies (DSA) are harmful after kidney transplantation. In particular, it needs to be clarified whether cumulative mean fluorescence intensities (MFI) against multiple HLA specificities have a predictive value for allograft function. Our retrospective single centre study analyzed preformed HLA antibodies determined by Luminex™ Single Antigen Bead (SAB) assay, including C1q addition, in relation to rejection and clinical outcome in 255 cross match negative kidney allograft recipients. Only 33 recipients (13%) of the total cohort showed early AMR during the first year posttransplant, but in patients with pre‐transplant DSA the rate was increased to 15 out of 40 (38%). Three year graft survival was significantly shorter in patients with histological signs of AMR compared with patients without AMR or with no biopsy (74%, 92%, and 97%, respectively, p < 0.0001). In patients with HLA‐DSA, a cumulative MFI value of all HLA antibodies of more than 103.000 indicated the highest risk for AMR posttransplant (p = 0.01). In conclusion, in patients with HLA‐DSA, the cumulative MFI value may help to further stratify the risk of AMR after kidney transplantation.
Exploring temporal and spatial reliability of individual activity space measurements using massive mobile phone data
Authors: Xiong Qiangqiang , Liu Yaolin , Xing Lijun , Xie Peng , Liu Yanfang 
Published: August 2022

AbstractThe concept of activity spaces is widely used in various research fields, but the reliability issues of individual activity space measurements remain underexplored. In this study, we develop a modified individual activity space measurement using massive mobile phone data for a month, called the weighted confidence ellipse (WCE), to quantitatively explore the reliability issues. According to the empirical results, we determine that using individual activity–travel data accumulated over a period of at least 2 weeks to measure individual activity spaces is relatively reliable in time. If considering the independence between workdays and days‐off, individual activity–travel information for day‐offs is necessary to exceed 2 weeks. In addition, the spatial reliability of individual activity space measurements demonstrates obvious spatial continuity and heterogeneity. Spatial location is the key factor affecting individual activity space measurements, and the impacts of the separation effects of residence and workplace may deserve attention, especially in the areas with a single urban spatial structure or urban function. This study can help us to improve knowledge on the temporal and spatial reliability of individual activity space measurements, so as to provide some references for studies on related research issues.
NUCLEAR TRANSPORT FACTOR 2‐LIKE improves drought tolerance by modulating leaf water loss in alfalfa (Medicago sativa L.)
Authors: Luo Dong , Liu Jie , Wu Yuguo , Zhang Xi , Zhou Qiang , Fang Longfa , Liu Zhipeng 
Published: August 2022

SUMMARYDrought is a major environmental factor that limits the production of alfalfa (Medicago sativa). In the present study, M. sativa NUCLEAR TRANSPORT FACTOR 2‐LIKE (MsNTF2L) was identified as a nucleus‐, cytoplasm‐, and plasma membrane‐localized protein. Its transcriptional expression was highly induced by ABA and drought stress. Overexpression of MsNTF2L in Arabidopsis resulted in hypersensitivity to ABA during both the seed germination and seedling growth stages. However, transgenic Arabidopsis plants exhibited enhanced tolerance to drought stress by reducing the levels of reactive oxygen species (ROS) and increasing the expression of stress/ABA‐inducible genes. Consistently, analysis of MsNTF2L overexpression (OE) and RNA interference (RNAi) alfalfa plants revealed that MsNTF2L confers drought tolerance through promoting ROS scavenging, a decrease in stomatal density, ABA‐induced stomatal closure, and epicuticular wax crystal accumulation. MsNTF2L highly affected epicuticular wax deposition, as a large group of wax biosynthesis and transport genes were influenced in the alfalfa OE and RNAi lines. Furthermore, transcript profiling of drought‐treated alfalfa WT, OE, and RNAi plants showed a differential drought response for genes related to stress/ABA signaling, antioxidant defense, and photosynthesis. Taken together, these results reveal that MsNTF2L confers drought tolerance in alfalfa via modulation of leaf water loss (by regulating both stomata and wax deposition), antioxidant defense, and photosynthesis.
Detection of allergic transfusion‐related adverse events from electronic medical records
Authors: Whitaker Barbee , Pizarro Jeno , Deady Matthew , Williams Alan , Ezzeldin Hussein , Belov Artur , Kanderian Sami , Billings Douglas , Cook Kerry , Hettinger Aaron Z. , Anderson Steven 
Published: August 2022

AbstractBackgroundTransfusion‐related adverse events can be unrecognized and unreported. As part of the US Food and Drug Administration's Center for Biologics Evaluation and Research Biologics Effectiveness and Safety initiative, we explored whether machine learning methods, such as natural language processing (NLP), can identify and report transfusion allergic reactions (ARs) from electronic health records (EHRs).Study Design and MethodsIn a 4‐year period, all 146 reported transfusion ARs were pulled from a database of 86,764 transfusions in an academic health system, along with a random sample of 605 transfusions without reported ARs. Structured and unstructured EHR data were retrieved, including demographics, new symptoms, medications, and lab results. In unstructured data, evidence from clinicians' notes, test results, and prescriptions fields identified transfusion ARs, which were used to extract NLP features. Clinician reviews of selected validation cases assessed and confirmed model performance.ResultsClinician reviews of selected validation cases yielded a sensitivity of 67.9% and a specificity of 97.5% at a threshold of 0.9, with a positive predictive value (PPV) of 84%, estimated to 4.5% when extrapolated to match transfusion AR incidence in the full transfusion dataset. A higher threshold achieved sensitivity of 43% with specificity/PPV of 100% in our validation set. Essential features predicting ARs were recognized transfusion reactions, administration of antihistamines or glucocorticoids, and skin symptoms (e.g., hives and itching). Removal of NLP features decreased model performance.DiscussionNLP algorithms can identify transfusion reactions from the EHR with a reasonable level of precision for subsequent clinician review and confirmation.
Teaching veterinary surgical skills: Comparison of massed versus spaced instruction
Authors: Banse Heidi E. , Baker Rose E. , Domaracki Cullen , McCauley Charles , Duhon Brandy , Grandt Beth , Jackson Kate , Spangler Dawn M. , Hunt Julie A. 
Published: August 2022

AbstractObjectiveTo determine the effect of massed instruction (MI) versus spaced instruction (SI) of veterinary surgical skills on students' cognitive load and skill retention.Study designProspective randomized cohort studyStudy populationFirst‐year veterinary students from Louisiana State University (LSU; n = 47) and Lincoln Memorial University (LMU; n = 101).MethodsStudents were randomized to MI (two skills in a single session of twice the duration) or SI (one skill per session on two consecutive days). Instructors, instructional ratio, and total educational time was equivalent. Following instruction, students completed a cognitive load questionnaire and underwent a structured assessment immediately after (LMU only), 1 day after, and 3‐4 weeks after learning the second skill. Students completed two supervised practice sessions one and 2 weeks after the initial laboratory session(s).ResultsOverall cognitive load did not differ between groups (p > .05), although LMUs MI group reported higher physical and time demands, effort, and frustration. At initial assessment, SI students scored higher than MI students for the first skill at both LSU (mean checklist score = 27.7 vs. mean = 24; p = .004) and LMU (mean global rating score = 4.76 vs. mean = 4.55; p = .029). Differences between groups were no longer evident by 3–4 weeks after instruction.ConclusionSI may lead to improved immediate performance; however, supervised practice was sufficient to overcome the initial disparity.Clinical significanceSI may be beneficial for initial skill performance. However, SI and MI students had similar performance after 3 weeks, suggesting the more convenient curricular design of MI may be sufficient as long as practice sessions are incorporated.
Discussion on: “Bioconvection of a Radiating Hybrid Nanofluid Past a Thin Needle in the Presence of Heterogeneous–Homogeneous Chemical Reaction, Puneeth, V., Manjunatha, S., Makinde, O. D., Gireesha, B. J., 2021, ASME J. Heat Transfer-Trans. ASME., 143(4), p. 042502”
Authors: Pantokratoras Asterios 
Published: August 2022

Abstract
Some typographical and serious errors exist in the above paper.
Comprehensive Review of Heat Transfer Correlations of Supercritical CO2 in Straight Tubes Near the Critical Point: A Historical Perspective
Authors: Lopes Nicholas C. , Chao Yang , Dasarla Vinusha , Sullivan Neil P. , Ricklick Mark A. , Boetcher Sandra K. S. 
Published: August 2022

Abstract
An exhaustive review was undertaken to assemble all available correlations for supercritical CO2 in straight, round tubes of any orientation, with special attention paid to how the wildly varying fluid properties near the critical point are handled. The assemblage of correlations, along with subsequent discussion, is presented from a historical perspective, starting from pioneering work on the topic in the 1950s to the modern day. Despite the growing sophistication of sCO2 heat transfer correlations, modern correlations are still only generally applicable over a relatively small range of operating conditions, and there has not been a substantial increase in predictive capabilities. Recently, researchers have turned to machine learning as a tool for next-generation heat transfer prediction. An overview of the state-of-the-art predicting sCO2 heat transfer using machine learning methods, such as artificial neural networks, is also presented.
Thermal Modeling of Patient-Specific Breast Cancer With Physics-Based Artificial Intelligence
Authors: Perez-Raya I. , Kandlikar S. G. 
Published: August 2022

AbstractBreast cancer is a prevalent form of cancer among women. It is associated with increased heat generation due to higher metabolism in the tumor and increased blood vessels resulting from angiogenesis. The thermal alterations result in a change in the breast surface temperature profile. Infrared imaging is an FDA-approved adjunctive to mammography, which employs the surface temperature alterations in detecting cancer. To apply infrared imaging in clinical settings, it is necessary to develop effective techniques to model the relation between the tumor characteristics and the breast surface temperatures. The present work describes the thermal modeling of breast cancer with physics-informed neural networks. Losses are assigned to random points in the domain based on the boundary conditions and governing equations that should be satisfied. The Adam optimizer in TensorFlow minimizes the losses to find the temperature field or thermal conductivity that satisfies the boundary conditions and the bioheat equation. Backpropagation computes the derivatives in the bioheat equation. Analyses of the three patient-specific cases show that the machine-learning model accurately reproduces the thermal behavior given by ansys-fluent simulation. Also, good agreement between the model prediction and the infrared images is observed. Moreover, the neural network accurately recovers the thermal conductivity within 6.5% relative error.
Thermodynamic Assessment of Exhaust Gas Recirculation in High-Volume Hydrogen Gas Turbines in Combined Cycle Mode
Authors: Ravelli Silvia 
Published: August 2022

Abstract
To reach net-zero while ensuring grid reliability and resiliency, gas turbine (GT) technology has a place for years to come. However, shifting to low-carbon fuels, such as hydrogen, is the key to maintain positive returns in combined cycle (CC) power plants. By recirculating a fraction of the exhaust gas exiting the heat recovery steam generator (HRSG) back to the inlet of a natural gas (NG) and hydrogen cofired GT, the gas flow passing through the compressor and entering the combustor has a reduced oxygen concentration thus lowering flame temperature, hence NOx formation. Hydrogen reactivity is then turned into a benefit since the exhaust gas recirculation (EGR) rate can be higher than that with NG, without facing flame stability issues. In light of this, a thermodynamic assessment of EGR effects on a 2 × 1 large-scale CC is presented considering GT with hydrogen capability up to 65%. The impact of partially replacing NG with hydrogen on GT behavior and overall CC performance was first evaluated at both full and part load, with no EGR. Then EGR was simulated for a rate up to 0.5 for different fuel mixtures, under the assumptions of GT inlet flow at low (ISO) and high (up to 47 °C) temperature. The analysis was again carried out at full and part load. In the latter case, EGR was exploited to improve CC efficiency at very low loads. For each scenario, CO2 emission intensity was computed thus highlighting the environmental benefits of hydrogen-NG blends.
Synthesis of Methanol From a Chemical Looping Syngas for the Decarbonization of the Power Sector
Authors: Palone Orlando , Hoxha Arian , Gagliardi Gabriele Guglielmo , Di Gruttola Francesca , Stendardo Stefano , Borello Domenico 
Published: August 2022

Abstract
One promising pathway for carbon capture and utilization is represented by the coupling of chemical looping cycles with liquid fuel synthesis processes. Methanol is an interesting fuel for gas turbines engines, due to its potential reduction of NOX and particulate emissions along with the absence of SO2 emissions. In this work, methanol production from the syngas generated by a three-reactors chemical looping process is investigated by mass and energy balances. The cycle is composed by a reducer reactor, where Fe2O3 is reduced to FeO by the injection of a reducing agent; an oxidizer reactor, where FeO reacts with CO2 and H2O to produce a syngas; an air reactor, where Fe3O4 is regenerated to Fe2O3 by ambient air. The produced syngas is then sent to a methanol synthesis plant. Several syngas compositions deriving from different CO2/(H2O+ CO2) molar fractions (1–3) at the oxidizer inlet are taken into account. The resulting methanol flow rates are almost equal in all investigated configurations (about 0.35 t/h). From an energy standpoint, the required electric power is greater for higher hydrogen mole fractions in the syngas. However, the case with 75% H2 content is characterized by the greatest methanol yield (12.6%), carbon efficiency (23%) and a high feed/recirculation ratio (0.80), thus representing the most indicated configuration among the investigated ones. Finally, by burning methanol in a gas turbine, the total CO2 emissions are halved with respect to the case without the system (if the CO2 associated with biogenic carbon in the reducer reactor is considered as net-zero).
Phase Change and Heat Transfer Analysis of Different Refrigerants During Condensation in Minichannel Using a Novel Numerical Approach
Authors: Pramanick Sourav , Dey Prasenjit , Saha Sandip K. 
Published: August 2022

Abstract
This paper analyses the condensation heat transfer phenomena in minichannel using acetone, ammonia, propylene, and R134a as the working fluids used in new-age space applications. A novel numerical model is developed considering the changes in local vapor pressure in the channel established due to shrinking in the flow passage by the gradual formation of the liquid layer. The present developed numerical model is compared with the available numerical and experimental results. The impacts of different inlet mass fluxes (250, 500, and 750 kg/m2 s), channel heights (1, 4, 6, and 8 mm), applied heat loads (10, 100, 250, and 500 W), and channel orientations (0 deg, 30 deg, 45 deg, 60 deg, and 90 deg) on the performance of the condensation heat transfer process are investigated. The formation of the thin liquid film layers and evaluation of the liquid–vapor interface profiles are examined. The study reveals that the channel orientation has a marginal influence on the flow pattern for the considered channel length of 20 mm. The maximum change in pressure loss is found at the channel orientation of 45 deg, and the average heat transfer coefficient is almost the same for all the considered orientations. The flow pattern is affected by the increase in mass flux resulting in the delay of heat transfer coefficient fluctuations. The average heat transfer coefficient decreases with increasing heat load, and the minimum average heat transfer coefficient is obtained for heat load, Q = 500 W.
An Efficient Iso-Scallop Toolpath Planning Strategy Using Voxel-Based Computer Aided Design Model
Authors: Kukreja Aman , Pande S. S. 
Published: August 2022

Abstract
The primary objective of an efficient computer numerical control (CNC) finishing toolpath strategy is to reduce the machining time and maintain desired surface finish (scallop). Among traditional toolpath planning strategies, iso-scallop gives the shortest toolpath while achieving a uniform surface finish. However, it is computationally complex, time-consuming, and sometimes produces topological inconsistencies in regions of high curvature/gradient. This paper presents a novel voxel-based toolpath planning algorithm to address these issues for the three-axis milling of freeform surfaces. Two strategies have been proposed, namely, iso-scallop and hybrid iso-scallop. Gouge-free cutter location (CL) points are initially computed from the voxel-based model, followed by iso-scallop toolpath generation using a binary search algorithm. The hybrid strategy involves region segmentation to generate an adaptive toolpath in high curvature/gradients regions. The overlapping toolpath is stitched and refined to create an efficient iso-scallop-based tool path. The developed system was extensively tested for complex freeform surface parts and was found to be computationally efficient, robust, and accurate in generating a finishing toolpath.
Effect of Exercise Intensity on Psychomotor Vigilance During an Incremental Endurance Exercise in Under-19 Soccer Players
Authors: González-Fernández Francisco Tomás , Latorre-Román Pedro Ángel , Parraga-Montilla Juan , Castillo-Rodriguez Alfonso , Clemente Filipe Manuel 
Published: August 2022

The aim of this study was to analyze the acute effects of an incremental resistance test on psychomotor vigilance in 16 soccer players under-19 years old (age 16.42 ± 0.85 years). Borg 15-point subjective perception of effort scale, the psychomotor vigilance task test, and the Yo-Yo intermittent recovery test were used. Four evaluation sessions were conducted with different intensities of efforts (30%–40%, 60%–75%, 80%–90%, and 100%) on different days (counterbalanced order). A repeated-measures analysis of variance was performed in the reaction time of the psychomotor vigilance task. The results showed that participants responded faster during efforts between 80% and 90% of maximal oxygen uptake (501.20 ± 70.77 ms). From that threshold, the players decreased their performance through a longer reaction time (601.23 ± 85.05 ms; p value < .001). The main findings were that the reaction time performance was worse at the lowest and highest effort conditions (5 and 17 km/hr, respectively). This fact helps to focus on the importance of designing and proposing training tasks with medium–high efforts to provoke optimal reaction times in young soccer players.