bluuebunny/crossref_metadata_2025_split huggingface dataset:
A simple yet consistent constitutive law and mortar-based layer coupling schemes for thermomechanical macroscale simulations of metal additive manufacturing processes
Authors: Proell Sebastian D. , Wall Wolfgang A. , Meier Christoph 
Published: October 2021

AbstractThis article proposes a coupled thermomechanical finite element model tailored to the macroscale simulation of metal additive manufacturing processes such as selective laser melting. A first focus lies on the derivation of a consistent constitutive law on basis of a Voigt-type spatial homogenization procedure across the relevant phases, powder, melt and solid. The proposed constitutive law accounts for the irreversibility of phase change and consistently represents thermally induced residual stresses. In particular, the incorporation of a reference strain term, formulated in rate form, allows to consistently enforce a stress-free configuration for newly solidifying material at melt temperature. Application to elementary test cases demonstrates the validity of the proposed constitutive law and allows for a comparison with analytical and reference solutions. Moreover, these elementary solidification scenarios give detailed insights and foster understanding of basic mechanisms of residual stress generation in melting and solidification problems with localized, moving heat sources. As a second methodological aspect, dual mortar mesh tying strategies are proposed for the coupling of successively applied powder layers. This approach allows for very flexible mesh generation for complex geometries. As compared to collocation-type coupling schemes, e.g., based on hanging nodes, these mortar methods enforce the coupling conditions between non-matching meshes in an $$L^2$$

L
2

-optimal manner. The combination of the proposed constitutive law and mortar mesh tying approach is validated on realistic three-dimensional examples, representing a first step towards part-scale predictions.
Food Attention Bias: appetite comes with eating
Authors: Lev-Ari Lilac , Kreiner Hamutal , Avni Omer 
Published: October 2021

Abstract
Objective
Cognitive interventions may be effective in weight loss. The purpose of this study was to assess if cognitive reappraisal (CR; reframing the meaning of a stimulus in order to change the resulting emotional response), can reduce food attentional bias (FAB) using the Visual Dot Probe (VDP) paradigm.

Method
126 participants (age 27 ± 5.8) were randomly assigned either to a CR or to a control (CN) group. After assessing baseline VDP levels for FAB, participants either wrote sentences that discourage eating fattening food or neutral sentences. Next, all participants performed the VDP post intervention. Participants also self-reported on disordered eating behaviors and their height and weight were charted. We hypothesized that CR would reduce FAB and that disordered eating would moderate the association between group and FAB.

Results
FAB decreased post intervention, specifically in the CR group. The bulimia sub-scale showed an interaction between bulimic eating, time and group. Among those who were high on the bulimia scale, the CR group showed lower FAB post-intervention compared to the CN group.

Discussion
This study suggests that CR may decrease the attentional bias toward high-calorie food compared to other strategies in the general population and among people with high bulimia measures, in particular.

Plain English summary
Obesity has a negative impact on many aspects of life and much research is dedicated to trying to better understand behaviors concerning obesity. People are prone to focus their attention on things that are of importance to them, such as food. When people focus their attention on food, we call this Food Attention Bias (FAB). Cognitive reappraisal (CR) interventions involve the person's conscious cognitive change of the meaning of the situation aiming to consequently change the emotional response to it, such as saying to yourself “I shouldn’t eat this because I don’t want to get fat”. CR has been found to be helpful in lowering FAB using brain imagining techniques but has not yet been studied in cognitive processes. Our study used a Visual dot probe paradigm (VDP) to assess the efficacy of CR on lowering FAB. Two groups, one using CR and a control group were assessed twice on FAB, using the VDP paradigm. Compared to the normal condition, the CR intervention helped reduce FAB. This reduction was especially significant for people with a higher tendency for bulimic behavior. The VDP paradigm, utilizing CR. can be expanded to help build an intervention aimed at reducing FAB over time. This, in turn might bring to weight reduction. People with bulimic tendencies might especially benefit from CR interventions when dealing with weight loss.
The effects of psychological risk factors at work on cognitive failures through the accident proneness
Authors: Abbasi Milad , Falahati Mohsen , Kaydani Masoumeh , Fallah Madvari Rohollah , Mehri Ahmad , Ghaljahi Maryam , Yazdanirad Saeid 
Published: October 2021

AbstractBackgroundVarious agents such as psychosocial items and accident proneness can affect cognitive failures through different paths. The probable paths are the direct effects of workplace psychosocial items on cognitive failures and their indirect effects on cognitive failures through the mediator variable of accident proneness, which has not yet been studied by others. Thus, the present study aimed to investigate these paths.MethodsThis cross-sectional study was conducted on 164 male employees of Karoon Sugar Company in 2018. The participants were asked to complete a background and demographic questionnaire, Broadbent cognitive failures scale, accident proneness questionnaire, and Copenhagen psychosocial questionnaire. Obtained data were analyzed and modeled using the statistical descriptive method, ANOVA, independent t-test, Pearson correlation test, and path analysis in the SPSS and AMOS software.ResultsThe results of the path analysis showed that, not only, some psychosocial risk items had a significant direct effect on cognitive failures, but also, they could affect cognitive failures through the accident proneness, indirectly. Work-family conflict and social support from supervisors by coefficients of 0.188 and – 0.187 had the highest direct effects, respectively. The highest indirect effects belonged to justice and respect, and work-family conflict by coefficients of - 0.220 and 0.199, respectively. The highest total effects were also related to the work-family conflict and justice and respect by coefficients of 0.387 and – 0.381, respectively.ConclusionsIn total, our results showed that some psychological items could, directly and indirectly, increase cognitive failure through accident proneness.
A study of EFL teachers’ classroom grading practices in secondary schools and private institutes: a mixed methods approach
Authors: Nowruzi Majid 
Published: October 2021

AbstractThis explanatory sequential mixed methods study aimed at exploring the grading decision-making of Iranian English language teachers in terms of the factors used when assigning grades and the rationales behind using those factors. In the preliminary quantitative phase, a questionnaire was issued to 300 secondary school and private institute EFL teachers. Quantitative data analyses showed that teachers attached the most weight to nonachievement factors such as effort, improvement, ability, and participation when determining grades. Next, follow-up interviews were conducted with 30 teachers from the initial sample. The analyses of interview data revealed that teachers assigned hodgepodge grades on five major grounds of learning encouragement, motivation enhancement, lack of specific grading criteria, pressure from stakeholders, and flexibility in grading. Data integration indicated that teacher grading decision-making was influenced by both internal and external factors, with adverse consequences for grading validity. Eliciting explanations for the use of specific grading criteria from the same teachers who utilized those criteria in their grading in a single study added to the novelty of this research. Implications for grade interpretation and use, accountability in classroom assessment, and teachers’ professional development are discussed.
Dynamic response of the vegetation carbon storage in the sanjiang plain to changes in land use/cover and climate
Authors: Li Haiyan , Qu Yi , Zeng Xingyu , Zhang Hongqiang , Cui Ling , Luo Chunyu 
Published: October 2021

Abstract
Large-scale human activities especially the destruction of forest land, grassland, and unused land result in a large amount of carbon release into the atmosphere and cause drastic changes in land use/cover in the Sanjiang Plain. As a climate change-sensitive and ecologically vulnerable area, the Sanjiang Plain ecosystem’s carbon cycle is affected by significant climate change. Therefore, it is important that studying the impact of the changes in land use/cover and climate on vegetation carbon storage in the Sanjiang Plain. Remote sensing, temperature, and precipitation data in four periods from 2001 to 2015 are used as bases in conducting an analysis of land use/cove types and spatio-temporal variation of vegetation carbon density and carbon storage in growing season using model and related analysis methods. Moreover, the impact of land use/cover change and climate change on vegetation carbon density and carbon storage is discussed. The findings are as follows. (1) Cultivated land in the Sanjiang Plain increased, while forest land, grassland and unused land generally decreased. (2) Vegetation carbon density increased, in which the average carbon density of cultivated land, grassland, and unused land varied insignificantly, while that of forest land increased continuously from 4.18 kg C/m2 in 2001 to 7.65 kg C/m2 in 2015. Vegetation carbon storage increased from 159.18 Tg C in 2001 to 256.83 Tg C in 2015, of which vegetation carbon storage of forest land contributed 94% and 97%, respectively. (3) Conversion of land use/cover types resulted in a 22.76-TgC loss of vegetation carbon storage. Although the forest land area decreased by 3389.5 km2, vegetation carbon storage in the research area increased by 97.65 Tg C owing to the increase of forest carbon density. (4) Pixel-by-pixel analysis showed that vegetation carbon storage in the majority of the areas of the Sanjiang Plain are negatively correlated with temperature and positively correlated with precipitation. The results showed that changes of land use/cover types and vegetation carbon density directly lead to a change in vegetation carbon storage, with the change of forest vegetation carbon density being the main driver affecting vegetation carbon storage variation. The increase of temperature mainly suppresses the vegetation carbon density, and the increase of precipitation mainly promotes it.
Documentary heritage: fungal deterioration in Compact Discs
Authors: Palermo Anna M. , Gentile Antonio , Pellegrino Giuseppe 
Published: October 2021

Abstract
In recent years, there has been an exponential growth in the use of digital media for data storage and the creation of museums, libraries and digital archives. In particular, Compact Discs Recordable (CD-R) have become one of the most used tools for archiving documents related to cultural heritage. Many authors have investigated only the CD longevity, but very few studies have focused on their biological deterioration. The aim of this work was to examine the CD-R biodeterioration following two ways: (1) search badly preserved CD-R, showing clear degradation spots and verify that it is fungal deterioration; (2) fungal inoculation tests on blank CD-R to verify their bioreceptivity. The analysis of a badly preserved CD-R showed clear degradation spots, highlighting, after cultural and molecular analysis, the presence on the surface of three different fungi: Chaetomium globosum, Trichoderma atroviride e Coniochaeta sp. For the in vitro inoculation tests we used conidia suspensions of Cladosporium cladosporioides and Penicillium chrysogenum, and we observed the growth for 6 months. At the end of experiment, both fungi colonized the CD-R surface with hyphae and mycelia clearly visible, causing also loss of material and fractal structure presence. For the CD-R use as cultural heritage archiving, the correct storage is an essential phase and, in light of the results obtained, it will be necessary not only to consider the environmental factors (temperature, relative humidity) but also the biological deterioration caused by airborne fungi. Therefore, effort needs to be taken to regularly monitor temperature and relative humidity and it is essential to periodically conduct cleaning of optical media.
Deep learning for emotion analysis in Arabic tweets
Authors: Khalil Enas A. Hakim , Houby Enas M. F. El , Mohamed Hoda Korashy 
Published: October 2021

AbstractCurrently, expressing feelings through social media requires great consideration as an essential part of our lives; besides sharing ideas and thoughts, we share moments and good memories. Social media such as Facebook, Twitter, Weibo, and LinkedIn, are considered rich sources of opinionated text data. Both organizations and individuals are interested in using social media to analyze people's opinions and extract sentiments and emotions. Most studies on social media analysis mainly classified sentiment as positive, negative, or neutral classes. The challenge in emotion analysis arises because humans can express one or several emotions within one expression. Human beings can recognize these different emotions well; however, it is still not easy for an emotion analysis system. In most cases, the Arabic language used through social media is of a slangy or colloquial form, making it more challenging to preprocess and filter noise since most lemmatization and stemming tools are built on Modern Standard Arabic (MSA). An emotion analysis model has been implemented to categorize emotions. The model is a multiclass and multilabel classification problem. However, few studies have been adapted for this emotion classification problem in Arabic social media. Nearly the only work is the one of SemEval 2018 task1- sub-task E-c. Several machine learning approaches have been implemented in this task; a few studies were based on deep learning. Our model implemented a novel multilayer bidirectional long short term memory (BiLSTM) trained on top of pre-trained word embedding vectors. The model achieved state-of-the-art performance enhancement. This approach has been compared with other models developed in the same tasks using Support Vector Machines (SVM), random forest (RF), and fully connected neural networks. The proposed model achieved a performance improvement over the best results obtained for this task.
Assessment of patient satisfaction towards auditable pharmaceutical transactions and services implemented in outpatient hospital pharmacy in Ethiopia
Authors: Adinew Ayalew , Feyissa Mamo , Tadesse Berhanu , Demeke Birhanu , Assefa Tamrat , Abdella Mahdi , Diriba Edessa , Bayisa Regasa , Geremew Elias , Alemu Fikresilasie , Ejigu Edmealem , Seifu Tesfaye , Nardos Aschalew , Dejene Demelash , Mideksa Mekete , Solomon Natnael 
Published: October 2021

Abstract
Background
Patient satisfaction is a widely used indicator to measure quality of pharmacy services. Currently, a transformational pharmacy service called auditable pharmaceutical transactions and services is being implemented nationally in Ethiopia. However, there is a dearth of evidence regarding the national impact of this system on patient satisfaction.

Objective
To assess patient satisfaction in hospital pharmacies that have implemented auditable pharmaceutical transactions and services in Ethiopia.

Method
This is a national study conducted based on a cross-sectional study design. Data were collected using a structured questionnaire from September 5 to October 5, 2020. The collected data was analyzed using spreadsheet excel and Statistical Package for the Social Sciences (SPSS) version 23. The proportions, ratios, and percentages were used for presenting data. A binary logistic regression test was used to determine the association of patient satisfaction with dispensary infrastructure, medicines availability, scores of labeling, and scores of patient knowledge on dispensed medicines. A p value < 0.05 was considered statistically significant.

Result
A total of 650 participants were included in this study for whom a total of 1422 medicines were prescribed which gives an average of 2.19 medicine per patient. The availability of the prescribed medicines in the pharmacies was 1061 (75%), and the affordability of medicines was 1.93 WD that indicates an unaffordable price. The average written medication labels score of 3.1 out of 8 points and the average patient knowledge score for correct usage of medicines was 4.5 out of 6 points. Overall, 585 (90%) of patients reported being satisfied with pharmacy services; the counseling skill of pharmacists 609 (93.7%), and dispensing area 607 (93.4%) cited the most. The only significantly associated factor for satisfaction was the infrastructure of the pharmacy.

Conclusion
Overall satisfaction of patients with the auditable pharmaceutical transactions and services implemented in hospital pharmacy services was generally high. The participants were most satisfied with the pharmacist counseling and dispensary area. The medication availability is moderate but the cost is unaffordable. Advanced infrastructures have resulted in a significant improvement in patient satisfaction.
Physics-based secular variation candidate models for the IGRF
Authors: Fournier Alexandre , Aubert Julien , Lesur Vincent , Thébault Erwan 
Published: October 2021

AbstractEach International Geomagnetic Reference Field (IGRF) model released under the auspices of the International Association of Geomagnetism and Aeronomy comprises a secular variation component that describes the evolution of the main magnetic field anticipated for the 5 years to come. Every Gauss coefficient, up to spherical harmonic degree and order 8, is assumed to undergo its own independent linear evolution. With a mathematical model of the core magnetic field and its time rate of change constructed from geomagnetic observations at hand, a standard prediction of the secular variation (SV) consists of taking the time rate of change of each Gauss coefficient at the final time of analysis as the predicted rate of change. The last three generations of the IGRF have additionally witnessed a growing number of candidate SV models relying upon physics-based forecasts. This surge is motivated by satellite data that now span more than two decades and by the concurrent progress in the numerical modelling of Earth’s core dynamics. Satellite data reveal rapid (interannual) geomagnetic features whose imprint can be detrimental to the quality of the IGRF prediction. This calls for forecasting frameworks able to incorporate at least part of the processes responsible for short-term geomagnetic variations. In this letter, we perform a retrospective analysis of the performance of past IGRF SV models and candidates over the past 35 years; we emphasize that over the satellite era, the quality of the 5-year forecasts worsens at times of rapid geomagnetic changes. After the definition of the time scales that are relevant for the IGRF prediction exercise, we cover the strategies followed by past physics-based candidates, which we categorize into a “‘core–surface flow” family and a “dynamo” family, noting that both strategies resort to “input” models of the main field and its secular variation constructed from observations. We next review practical lessons learned from our previous attempts. Finally, we discuss possible improvements on the current state of affairs in two directions: the feasibility of incorporating rapid physical processes into the analysis on the one hand, and the accuracy and quantification of the uncertainty impacting input models on the other hand.
Structure-guided protein engineering of ammonia lyase for efficient synthesis of sterically bulky unnatural amino acids
Authors: Ni Zi-Fu , Xu Pei , Zong Min-Hua , Lou Wen-Yong 
Published: October 2021

AbstractEnzymatic asymmetric amination addition is seen as a promising approach for synthesizing amine derivatives, especially unnatural amino acids, which are valuable precursors to fine chemicals and drugs. Despite the broad substrate spectrum of methylaspartate lyase (MAL), some bulky substrates, such as caffeic acid, cannot be effectively accepted. Herein, we report a group of variants structurally derived from Escherichia coli O157:H7 MAL (EcMAL). A combined mutagenesis strategy was used to simultaneously redesign the key residues of the entrance tunnel and binding pocket to explore the possibility of accepting bulky substrates with potential application to chiral drug synthesis. Libraries of residues capable of lining the active center of EcMAL were then constructed and screened by an effective activity solid-phase color screening method using tyrosinase as a cascade catalyst system. Activity assays and molecular dynamics studies of the resultant variants showed that the substrate specificity of EcMAL was modified by adjusting the polarity of the binding pocket and the degree of flexibility of the entrance tunnel. Compared to M3, the optimal variant M8 was obtained with a 15-fold increase in catalytic activity. This structure-based protein engineering of EcMAL can be used to open new application directions or to develop practical multi-enzymatic processes for the production of various useful compounds.
Visual acuity is correlated with ischemia and neurodegeneration in patients with early stages of diabetic retinopathy
Authors: Li Jin , Zhou Yue , Chen Feng , Li Yingzi , Zhou Rong , Wu Chaoming , Yu Huankai , Lin Zhiyang , Shi Ce , Zheng Gu , Shao Yilei , Chen Qi , Lu Fan , Shen Meixiao 
Published: October 2021

Abstract
Purpose
We investigated the effects of retinal ischemia, neurodegeneration, and subclinical edema on best-corrected visual acuity (BCVA) in the early stages of diabetic retinopathy (DR).

Methods
Ischemia was evaluated by the microvascular parameters measured by optical coherence tomography angiography. Neurodegeneration and subclinical edema were identified by the intraretinal layer thickness obtained by optical coherence tomography. Eyes with nonproliferative diabetic retinopathy (n = 132) from 89 patients were analyzed. Eyes were classified as having normal BCVA (n = 88 [66.7%], Snellen equivalent ≥ 20/20) or decreased BCVA (n = 44 [33.3%], Snellen equivalent < 20/20). The prevalence of ischemia, neurodegeneration, and subclinical edema was explored in patients with and without decreased BCVA, and correlations between BCVA and these pathological pathways were determined.

Results
Vessel density in the deep retinal capillary plexus (DRCP) and thickness of ganglion cell layer plus inner plexiform layer (GCL-IPL) were significantly lower in eyes with decreased BCVA compared with eyes with normal BCVA (both P < 0.05). In the final multiple regression predictive model, age, DRCP vessel density, and GCL-IPL thickness (all P ≤ 0.044) were predictors of BCVA. DRCP vessel density and GCL-IPL thickness have an interactive effect on visual acuity. The proportions of ischemia and neurodegeneration were significantly higher in eyes with decreased BCVA than in eyes with normal BCVA (P = 0.001 and P = 0.004, respectively).

Conclusion
During the natural course of the early stages of DR, ischemia and neurodegeneration were the main disease pathways associated with visual acuity, and the mechanisms varied among patients.