bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Study on Democracy Metaphors in Moroccan King Mohammed VI Inaugural Speeches
Authors: Youssef Charbati 
Published: March 2020

This study analyzes democracy metaphors used in Mohammed VIs' speeches at the opening of the parliamentary session from 2003 until 2014. Mohammed VI has ruled Morocco since 1999. Many studies have uncovered the role of metaphors as influential devices used in politics. However, in the Moroccan context, studies related to metaphors and politics have received little attention so far. Politicians encounter challenges as they address their audience such as the need to convince them of their views, to gain the trust of their analysis and to give psychological realities to their abstract concepts.
The Moroccan monarchy has ruled Morocco for centuries. More than three hundred and fifty years of monarchy rule has marked the history of Moroccan society. The monarchy was able to adapt to the sociopolitical changes that the Moroccan society has known. This rule was the work of multiple factors and strategies that the monarchy has followed. One of them is the use of metaphors as a communication strategy.
The aim of this paper is to reveal the contribution of metaphors to the Moroccan political debate mainly by studying the king’s speeches addressed to the Moroccan nation. This research strives to uncover part of the Moroccan king’s strategy to win the hearts and minds of the moroccan people. This study provides an insight into the communication strategies used by the head of state of one of the third world regimes facing democracy transition and encountering political and economic challenges. They are based mainly on the use of the metaphor to interpret realities and design future roadmaps.
The results of quantitative evaluation of postradiation changes in lung cancer patients, which were obtained using a new procedure for analysis of dynamic X-ray computed tomography imaging of thoracic organs
Authors: Ledenev V. V. , Nudnov N. V. , Sotnikov V. M. , Baryshnikova D. V. 
Published: March 2020

Objective: to reveal a relationship of lung changes to time after radiotherapy (RT), its dose, and irradiated volume, by using a new procedure to quantitatively evaluate lung tissue density changes according to the data of dynamic X-ray computed tomography (X-ray CT) imaging.Subjects and methods. Data on 29 cancer patients who had received RT to the chest area using 3D planning, 2-5-Gy fractions, and a total focal RT dose of 16 to 84 Gy in the lung tissue were retrospectively selected. Each patient underwent at least two X-ray CT studies (before and after RT); a total of 83 studies were analyzed. The new diagnostic procedure developed by the authors was used to quantitatively analyze lung tissue density changes in the areas with a selected dose range.Results. On days 1 to 15-30 after completion of RT, the quantitative analysis revealed no significant density changes. On days 70-80, there was an increase in changes that were different from those in the nonirradiated areas. On 80 to 100-120 days, there was a decline of radiation reactions with preserved changes in the areas irradiated at a dose of 19-20 Gy. From 120 days onwards, the changes were preserved in the areas irradiated at a dose of over 32-37 Gy through the formation of post-radiation pulmonary fibrosis. In addition, eight (27.6%) patients treated with less than 20 Gy were detected to have changes associated with the initial density values, which can be regarded as an increased individual radiosensitivity.Conclusion. The time course of a quantitative change in the median lung tissue density in the areas irradiated at different doses allows radiation-induced lung injury to be detected at X-ray CT until the visual signs of pneumonitis appear. A continuous, quantitative scale of changes will assist in more reliably and accurately studying post-radiation changes at a later time, and the time course of spaciotemporal changes will be able to compare and quantify lung injury when exploring new treatment methods and policies.
Special Issue on Earthquake and Volcano Hazards Observation and Research Program
Authors: Tanioka Yuichiro , Yoshida Shingo , Ohminato Takao , Kato Aitaro , Kamaya Noriko 
Published: March 2020

The Earthquake and Volcano Hazards Observation and Research Program (2014–2018) carried out comprehensive research to mitigate disasters related to earthquakes and volcanic eruptions. The program selected multidisciplinary research in which earth scientists who study the processes of earthquake generation and volcanic eruptions, historians, archaeologists, human and social scientists, and engineers were all involved. The program aimed to collect pre-instrumental and pre-historical earthquake and volcanic data to understand earthquake and volcano disasters, to find risk evaluation techniques, and to evaluate disaster response and preparedness. Active collaborations between researchers from different science fields inspired new ideas and have driven various research in the program. New findings from the program have also created international collaborations and recognitions. Most of the results and new findings in the program have already been published in various internationally recognized journals and have greatly influenced scientific communities.
We believe that it is important to compile our findings from the last five years of the program and to publish the essence of our findings and published papers in this special issue. We hope that this special issue will be of value to researchers who are interested in multidisciplinary studies of mitigation of disasters such as earthquakes, volcanic eruptions, and related phenomena.
A Novel Technique in Treatment of Calcaneocuboid Dislocation with Bifurcate Ligament Reconstruction Using a Semitendinosus Allograft
Authors: Abyar Eildar , Cone Brent , McKissack Haley , Johnson Michael 
Published: March 2020

Case:
A 19-year-old woman sustained a plantar flexion–inversion injury to her right ankle after a low-speed motor vehicle collision. Clinical examination demonstrated supinated, adducted deformity of the foot, and prominent calcaneus laterally. Radiographs revealed dislocation of the calcaneocuboid joint, a rare injury, which was successfully stabilized by a novel technique using a hamstring allograft. The presentations and clinical and surgical management of this rare condition are discussed.

Conclusion:
We present a technique that has shown good long-term results in a young patient with recurrent calcaneocuboid joint dislocations. Our novel ligament reconstruction technique using a semitendinosus allograft seems to be a promising treatment option in young patients with unstable calcaneocuboid joints.
Nonhardware Subchondral Transosseous Cerclage for Displaced Comminuted Patella Fracture Repair
Authors: Ghobrial Philip G. , Chudik Steven C. 
Published: March 2020

Case:
We report a case of a 62-year-old woman who presented to our clinic with a displaced transverse comminuted patella fracture. The fracture was repaired using a subchondral transosseous suture cerclage technique which uses the dense subchondral bone to obtain an initial anatomic reduction of the articular surface, contain the comminution, and achieve union while avoiding complications associated with traditional hardware.

Conclusion:
This case illustrates the potential for the broader implementation of subchondral transosseous cerclage suture fixation techniques for patellar fractures.
Controlling Pathogens and Chemical Contaminants in Greenhouse Irrigation Water through Electrochemical Processes
Authors: Serge Levesque  
Published: March 2020

The capture and re-use of greenhouse irrigation/fertigation water is an efficient use of ever more limited water resources. Although, when capturing and re-applying fertigation solutions there is a greater risk for both pathogen proliferation and chemical contaminant accumulation, both of which can lead to reduced productivity and, in more severe cases, crop loss. In order to avoid these obstacles, it is important that grower’s employ some form of water treatment. Electrochemical disinfection can be used to treat irrigation water by producing and recycling chemical components, in situ, that limit pathogen proliferation while degrading chemical contaminants. Two electrode types (Dimensionally Stable Anodes & Boron-Doped Diamond) using regenerative in situ processes are tested and will be evaluated on their suitability for crop production. Upon analyzing the electrochemical systems’ ability for disinfection and organic pollutant degradation, they appear to be compatible with crop production following preliminary trials.
Technology Focus: Completions (April 2020)
Authors: Lehr Doug 
Published: March 2020

Technology Focus
We must standardize our completion configuration for all our wells. We cannot wait 6 months to accumulate production data to use in optimizing treating parameters on future wells. Can you predict first-year oil production? Can you predict annular pressure buildup in your high-pressure/high-temperature well?
Sound familiar?
Today, completion optimization relies heavily on our experience with the last well, domain knowledge [subject-matter experts (SMEs)], or perhaps simple curve fitting using the data from multiple wells. All are time-honored methods but have fundamental limitations. As SMEs, humans can articulate the “what” but, when many variables are in play (e.g., unconventional completions), are frequently challenged in pinpointing the “whys.” Historical mathematical models are better but suffer from multiple assumptions about second- and third-order effects. While adequate in some cases, historical models are challenged when predicting outcomes in highly complex completions.
Enter machine learning.
Digitization, big data, artificial intelligence, analytics, machine learning (ML), and automation are mentioned frequently as solutions for today’s complex technical challenges. ML is particularly fascinating because numerical models are used that can learn and be trained to predict future outcomes accurately. The synopses in this feature show how ML can provide accurate prediction of annular pressure buildup, first-year oil production, and (in conjunction with novel casing accessories) the time and location of water breakthrough along a lateral wellbore.
Digitization is a trend that will forever change how engineers and scientists tackle the most complex problems in our industry. ML can advance optimization in many complex completions significantly by delivering high-accuracy predictions. When ML is applied successfully, the numbers do not lie.
Recommended additional reading at OnePetro: www.onepetro.org.
SPE 196169 Subsurface-Driven Connectivity Descriptions in the Montney and the Duvernay Inform the Applicability of Single-Point vs. Multipoint Well Architectures by Ben Stephenson, Shell, et al.
SPE 197968 Strategic Engineering Application for Long Lateral Wells by Ahmed Kiyoumi, Abu Dhabi National Oil Company, et al.
SPE 196179 Evaluating Precision of Fluid/Casing Design for Annular Pressure Buildup Application Using Machine-Learning Tools by Sandeep D. Kulkarni, Indian Institute of Technology, et al.
Identification and characterization of differentially expressed genes in Caenorhabditis elegans in response to pathogenic and nonpathogenic Stenotrophomonas maltophilia
Authors: Radeke Leah J , Herman Michael 
Published: March 2020

Abstract
Background: Stenotrophomonas maltophilia is an emerging nosocomial pathogen that causes infection in immunocompromised patients. S. maltophilia isolates are genetically diverse, contain diverse virulence factors, and are variably pathogenic within several host species. Members of the Stenotrophomonas genus are part of the native microbiome of C. elegans , being found in greater relative abundance within the worm than its environment, suggesting that these bacteria accumulate within C. elegans . Thus, study of the C. elegans-Stenotrophomonas interaction is of both medical and ecological significance. To identify host defense mechanisms, we analyzed the C. elegans transcriptomic response to S. maltophilia strains of varying pathogenicity: K279a, an avirulent clinical isolate, JCMS, a virulent strain isolated in association with soil nematodes near Manhattan, KS, and JV3, an even more virulent environmental isolate. Results: Overall, we found 145 genes that are commonly differentially expressed in response to pathogenic S. maltophilia strains, 89% of which are upregulated, with many even further upregulated in response to JV3 as compared to JCMS. There are many more JV3-specific differentially expressed genes (225, 11% upregulated) than JCMS-specific differentially expressed genes (14, 86% upregulated), suggesting JV3 has unique pathogenic mechanisms that could explain its increased virulence. We used connectivity within a gene network model to choose pathogen-specific and strain-specific differentially expressed candidate genes for functional analysis. Mutations in 13 of 22 candidate genes caused significant differences in C. elegans survival in response to at least one S. maltophilia strain, although not always the strain that induced differential expression, suggesting a dynamic response to varying levels of pathogenicity. Conclusions: Variation in observed pathogenicity and differences in host transcriptional responses to S. maltophilia strains reveal that strain-specific mechanisms play important roles in S. maltophilia pathogenesis. Furthermore, utilizing bacteria closely related to strains found in C. elegans natural environment provides a more realistic interaction for understanding host-pathogen response.
A Protocol for Automated a-posteriori Adaptive Meshing with SimVascular: A Test Case
Authors: Gupta Akash , Kung Ethan O. 
Published: March 2020

Abstract
Objective: Operational details regarding the use of the adaptive meshing (AM) algorithm available in the SimVascular package are scarce despite its application in several studies. Lacking these details, novice users of the AM algorithm may experience undesirable outcomes post-adaptation such as increases in mesh error metrics, unpredictable increases in mesh size, and losses in geometric fidelity. Here we present a test case using our proposed iterative protocol that will help prevent these undesirable outcomes and enhance the utility of the AM algorithm. We present three trials (conservative, moderate, and aggressive settings) applied to a scenario modelling a Fontan junction with a patient-specific geometry and physiologically realistic boundary conditions. Results: In all three trials, an overall reduction in mesh error metrics is observed (range 47%-86%). The increase in the number of elements through each adaptation never exceeded the mesh size of the pre-adaptation mesh by one order of magnitude. In all three trials, the protocol resulted in consistent, repeatable improvements in mesh error metrics, no losses of geometric fidelity and steady increments in the number of elements in the mesh. Our proposed protocol prevented the aforementioned undesirable outcomes and can potentially save new users considerable effort and computing resources.
Evaluation and comparison of six GRACE models for the stratification of undifferentiated chest pain in the emergency department
Authors: Zheng Wen , Wang Guangmei , Ma Jingjing , Wu Shuo , Zhang He , Zheng Jiaqi , Xu Feng , Wang Jiali , Chen Yuguo 
Published: March 2020

Abstract
Background: The Global Registry of Acute Coronary Events (GRACE) score is recommended for stratifying chest pain. However, there are six formulas used to calculate the GRACE score for different outcomes of acute coronary syndrome (ACS), including death (Dth) or composite of death and myocardial infarction (MI), while in hospital (IH), within 6 months after discharge (OH6m) or from admission to 6 months later (IH6m). We aimed to perform the first comprehensive evaluation and comparison of six GRACE models to predict 30-day major adverse cardiac events (MACEs) in patients with acute chest pain in the emergency department (ED).
Methods: Patients with acute chest pain were consecutively recruited from August 24, 2015 to September 30, 2017 from the EDs of two public hospitals in China. The 30-day MACEs included death, acute myocardial infarction (AMI), emergency revascularization, cardiac arrest and cardiogenic shock. The correlation, calibration, discrimination, reclassification and diagnostic accuracy at certain cutoff values of six GRACE models were evaluated. Comparisons with the History, ECG, Age, Risk Factors, and Troponin (HEART) and Thrombolysis in Myocardial Infarction (TIMI) scores were conducted.
Results: A total of 2886 patients were analyzed, with 590 (20.4%) patients experiencing outcomes. The GRACE(IHDthMI), GRACE(IH6mDthMI), GRACE(IHDth), GRACE(IH6mDth), GRACE(OH6mDth) and GRACE(OH6mDthMI) showed positive linear correlations with the actual MACE rates (r≥0.568, p<0.001). All these models had good calibration (Hosmer-Lemeshow test, p≥0.073) except GRACE(IHDthMI) (p<0.001). The corresponding C-statistics were 0.83(0.81,0.84), 0.82(0.81,0.83), 0.75(0.73,0.76), 0.73(0.72,0.75), 0.72(0.70,0.73) and 0.70(0.68,0.71), respectively, first two of which were comparable to HEART (0.82, 0.80-0.83) and superior to TIMI (0.71, 0.69-0.73). With a sensitivity ≥95%, GRACE(IHDthMI) ≤81 and GRACE(IH6mDthMI) ≤79 identified 868(30%) and 821(28%) patients as low risk, respectively, which were significantly better than other GRACEs and HEART ≤3(22%). With a specificity ≥95%, GRACE(IHDthMI) >186 and GRACE(IH6mDthMI) >161 could recognize 12% and 11% patients as high risk, which were greater than other GRACEs, HEART ≥8(9%) and TIMI ≥5(8%).
Conclusions: In this Chinese setting, certain strengths of GRACE models beyond HEART and TIMI scores were still noteworthy for stratifying chest pain patients. The validation and reasonable application of appropriate GRACE models in the evaluation of undifferentiated chest pain should be recommended.
Determinants of Under-nutrition among Children under Five Years of Age in Ethiopia
Authors: Kassie Gashu Workneh , Workie Demeke Lakew 
Published: March 2020

Abstract
Background: Ethiopia is one of the developing countries where child under-nutrition is prevalent. Prior studies employed three anthropometric indicators for identifying factors of children’s under-nutrition. This study aimed at identifying factors of child under-nutrition using a single composite index of anthropometric indicator. Methods: Data from Ethiopia’s Demographic and Health Survey 2016 was the base for studying under-nutrition in a sample of 9494 children below 59 months. A single composite index of under-nutrition was created from three anthropometric indices through principal component analysis recoded into an ordinal outcome. In line with WHO 2006 Child Growth Standards, the three anthropometric indices involve z-score of height-for-age (stunting), weight-for-height (wasting) and weight-for-age (underweight). To identify significant determinants of under-nutrition , partial proportional odds model was fitted and its relative performance compared with some other ordinal regression models. Results: The single composite index of anthropometric indicators showed that 49.0% (19.8% moderately and 29.2% severely) of sampled children were undernourished. In the Brant-test of proportional odds model, the null hypothesis that the model parameters equal across categories was rejected. Compared to ordinal regression models that do not involve parallel regression assumption, and Akaike information criterion, partial proportional odds model showed an improved fit. A child with mother of body mass index less than 18.5 kg, from poorest family, a husband without education and male to be in a severe under-nutrition status was 1.4, 1.8 1.2 and 1.2 times more likely to be in worse under-nutrition status compared to its reference group respectively. Conclusion: The authors conclude that the fitted partial proportional odds model indicated that age and sex of the child, maternal education, region, source of drinking water, number of under five children, mother’s body mass index, wealth index, anemic status, multiple birth, fever before two months of survey, mother’s age at first birth, and husband’s education were significantly associated with child under-nutrition. Thus, it is argued that interventions focus on improving household wealth index, food security, educating mothers and their spouses, improving maternal nutritional status, and increasing mothers’ health care access.
The primary cilium dampens proliferative signaling and represses a G2/M transcriptional network in quiescent myoblasts
Authors: Venugopal Nisha , Ghosh Ananga , Gala Hardik , Aloysius Ajoy , Vyas Neha , Dhawan Jyotsna 
Published: March 2020

Abstract
Background Reversible cell cycle arrest (quiescence/G0) is characteristic of adult stem cells and is actively controlled at multiple levels. Quiescent cells also extend a primary cilium, which functions as a signaling hub. Primary cilia have been shown to be important in multiple developmental processes, and are implicated in numerous developmental disorders. Although the association of the cilium with G0 is established, the role of the cilium in the control of the quiescence program is still poorly understood. Results Primary cilia are dynamically regulated across different states of cell cycle exit in skeletal muscle myoblasts: quiescent myoblasts elaborate a primary cilium in vivo and in vitro , but terminally differentiated myofibers do not. Myoblasts where ciliogenesis is ablated using RNAi against a key ciliary assembly protein (IFT88) can exit the cell cycle but display an altered quiescence program and impaired self-renewal. Specifically, the G0 transcriptome in IFT88 knockdown cells is aberrantly enriched for G2/M regulators, suggesting a focused repression of this network by the cilium. Cilium-ablated cells also exhibit features of activation including enhanced activity of Wnt and mitogen signaling and elevated protein synthesis via inactivation of the translational repressor 4E-BP1. Conclusions Taken together, our results show that the primary cilium integrates and dampens proliferative signaling, represses translation and G2/M genes, and is integral to the establishment of the quiescence program.
Homoprejudiced violence among Chinese men who have sex with men: A cross-sectional analysis in Guangzhou, China
Authors: Wu Dan , Yang Eileen , Huang Wenting , Tang Weiming , Xu Huifang , Liu Chuncheng , Baral Stefan , Day Suzanne , Tucker Joseph D. 
Published: March 2020

Abstract
Background Homoprejudiced violence, defined as physical, verbal, psychological and cyber aggression against others because of their actual or perceived sexual orientation, is an important public health issue. Most homoprejudiced violence research has been conducted in high-income countries. This study examined homoprejudiced violence among men who have sex with men (MSM) in Guangzhou, China. Methods MSM in a large Chinese city, Guangzhou, completed an online survey . Data about experiencing and initiating homoprejudiced violence was collected. Multivariable logistic regression analyses, controlling for age, residence, occupation, heterosexual marriage, education and income, were carried out to explore associated factors. Results A total of 777 responses were analyzed and most (64.9%) men were under the age of 30. Three-hundred-ninety-nine (51.4%) men experienced homoprejudiced violence and 205 (25.9%) men perpetrated homoprejudiced violence against others. Men who identified as heterosexual were less (AOR=0.6, 95% CI: 0.4-0.9) likely to experience homoprejudiced violence compared to men who identified as gay. Men who experienced homoprejudiced violence were more likely to initiate homoprejudiced violence (AOR=2.44, 95% CI: 1.6-3.5). Men who disclosed their sexual orientation to other people were more likely to experience homoprejudiced violence (AOR=1.8, 95% CI:1.3-2.5). Conclusions These findings suggest the importance of further research and the implementation of interventions focused on preventing and mitigating the effects of homoprejudiced violence among MSM in China.