bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preliminary Design of Imaging Microsatellite for Preventing Illegal Fishing in Indonesia
Authors: Courie I A , Faza G A , Hertanto A Y , Poetro R E , Ardi N S 
Published: May 2019

Abstract
A constellation of imaging microsatellite system using Synthetic Aperture Radar (SAR) and Automatic Identification System (AIS) has been developed to prevent illegal fishing in Indonesia. The constellation of microsatellite is shown to be able to cover the entire area of Indonesia during 24 hours duration. Each satellite is capable of taking pictures with minimum resolution of 3 meter per pixel and swath width of 28.55 km. AIS equipped in each satellite will collect data of the ships operating on sea area of Indonesia. The information about the ships collected by AIS will then be compared to the picture captured by SAR to determine if the ships are fishing illegally or not. To support the mission, each satellite is equipped with sun sensors, earth sensors, and GPS to precisely determine its attitude and position. In addition, each satellite also equipped with Control Moment Gyros (CMGs) capable of precision pointing and high slew rate maneuver with low power consumption. The payload communication of the satellite will use VHF and X-band while the TT&C will use S-band. Furthermore, each satellite requires a total of 838 W to operate which correspond to 6 m2 of solar panel and 8.8 kg and 590 Wh of batteries. Finally, it is concluded that each satellite has 95 kg of total mass and costs around $ 5.4 million to develop.
Performance of thermal imager on LAPAN-A3/IPB satellite compare with thermal band Landsat imager
Authors: Hartono R , Hakim PR , Syafrudin AH , Dawami MDN , Hasbi W. 
Published: May 2019

Abstract
LAPAN-A3/IPB Satellite is 3rd generation experimental satellite of LAPAN. This satellite has been launched in June 2016 and orbited on altitude 510km with sun synchronous orbit. One of the payloads of this satellite is experimental thermal imager camera, called micro-bolometer with 8-12 um band spectral. At first, micro-bolometer is used as horizon sensor, but also can be used for monitoring of earth surface temperature. The aim of this research is to validate image data of micro-bolometer based on Landsat infrared band image data. The method used in this research is to find the correlation between digital number (DN) of micro-bolometer camera of LAPAN-A3/IPB with the temperature that has been calculated and obtained from image of Landsat satellite. The result of this research shows that the data from micro-bolometer LAPAN-A3/IPB has characteristics that are close to Landsat infrared band image data. Moreover, the data of micro-bolometer camera has also been validated with multispectral camera of LAPAN-A3/IPB satellite both in coverage swath-width and visual identification.
Huffman decoding performance analysis of lossy compressed LAPAN-A3/IPB multispectral images
Authors: Hakim P R , Permala R , Hadi Syafrudin A 
Published: May 2019

Abstract
LAPAN-A3/IPB multispectral imager has the ability to produce realtime acquisition images anywhere in the world as long as there is X-band receiver in ground station to receive the image data. The received image data is the compressed version of the original image data, compressed by lossy algorithm of Fast-Fourier Transform and Huffman encoding. Processing of the received image data can be considered complicated in terms of decompressed image data validity and processing time needed. This research aims to develop robust decoding algorithm for LAPAN-A3/IPB multispectral image received in realtime acquisition mode from Bogor ground station. The research focuses on developing efficient method on Huffman decoding for relatively big image data by using look-up-table approach. The developed decoding algorithm has successfully produced daily LAPAN-A3/IPB realtime images with good image quality, where the results have been validated by using original images, recorded on satellite memory. However, the time processing needed for processing any single image is still poor, where 1 GB of compressed image data needs around 1 hour of processing time. Therefore, although the algorithm has been used to regularly produce daily LAPAN-A3/IPB realtime image data, the faster algorithm is needed to achieve better overall processing performance.
Clinical Referral Laboratory Personnel’s Perception of Challenges and Strategies for Sustaining the Laboratory Quality Management System
Authors: Rusanganwa Vincent , Gahutu Jean Bosco , Evander Magnus , Hurtig Anna-Karin 
Published: May 2019

AbstractObjectivesTo explore challenges explaining the decrease in quality performance and suggest strategies to improve and sustain laboratory quality services.MethodsTwenty key informants’ interviews from laboratory personnel were conducted in five laboratories. Four had previously shown a decrease in quality performance. Interviews were transcribed verbatim and analyzed using inductive thematic analysis.ResultsTwo themes emerged: (1) insufficient coordination and follow-up system towards accreditation, where lack of coordination, follow-up, and audits explained the decrease in performance; (2) inadequate resource optimization, where insufficient knowledge in Laboratory Quality Management System (LQMS), ownership by laboratory workforce, and insufficient stakeholders’ communication contributed to low-quality performance.ConclusionsThe coordination, follow-up, and assessments of LQMS, in conjunction with training of laboratory workforce, would establish an institutional culture of continuous quality improvement (CQI) towards accreditation and sustainment of quality health care. To achieve CQI culture, routine gap checking and planning for improvement using a system approach is required.
Smaller Classes Promote Equitable Student Participation in STEM
Authors: Ballen Cissy J , Aguillon Stepfanie M , Awwad Azza , Bjune Anne E , Challou Daniel , Drake Abby Grace , Driessen Michelle , Ellozy Aziza , Ferry Vivian E , Goldberg Emma E , Harcombe William , Jensen Steve , Jørgensen Christian , Koth Zoe , McGaugh Suzanne , Mitry Caroline , Mosher Bryan , Mostafa Hoda , Petipas Renee H , Soneral Paula A G , Watters Shana , Wassenberg Deena , Weiss Stacey L , Yonas Azariah , Zamudio Kelly R , Cotner Sehoya 
Published: May 2019

AbstractAs science, technology, engineering, and mathematics (STEM) classrooms in higher education transition from lecturing to active learning, the frequency of student interactions in class increases. Previous research documents a gender bias in participation, with women participating less than would be expected on the basis of their numeric proportions. In the present study, we asked which attributes of the learning environment contribute to decreased female participation: the abundance of in-class interactions, the diversity of interactions, the proportion of women in class, the instructor's gender, the class size, and whether the course targeted lower division (first and second year) or upper division (third or fourth year) students. We calculated likelihood ratios of female participation from over 5300 student–instructor interactions observed across multiple institutions. We falsified several alternative hypotheses and demonstrate that increasing class size has the largest negative effect. We also found that when the instructors used a diverse range of teaching strategies, the women were more likely to participate after small-group discussions.
Insulinoma-associated protein 1 controls nasopharyngeal carcinoma to radiotherapy by modulating cyclin D1-dependent DNA repair machinery
Authors: Song Ruibiao , Wei Xing , Wang You , Hu Shousen , Ba Yunpeng , Xiao Xiyan , Zhang Jianzhong 
Published: May 2019

AbstractInsulinoma-associated protein 1 (INSM1), a zinc finger transcriptional factor, is proven to be deregulated in several types of cancers. However, comprehension of the molecular mechanism of INSM1-mediated tumor progression remains poor. Here, we show that the radioresistant nasopharyngeal carcinoma (NPC) patients have higher expressions of INSM1 that correlated with poor prognosis. Genetic manipulation of INSM1 expression sufficiently controls the response of NPC cells to irradiation (IR). Mechanistically, cells exposed to IR, increased intracellular INSM1 competitively disrupts the interaction of cyclin D1 and CDK4 resulting in cell survival by the cyclin D1-dependent DNA repair machinery. Moreover, knockdown of INSM1 sensitives NPC cells to IR in vivo and protects xenograft mice from mortality. Taken together, these results indicate that INSM1 modulates NPC to radiotherapy by controlling cyclin D1-dependent DNA repair machinery that could be manipulated as a novel molecular target for NPC therapy.
When Law is Good for Your Health: Mitigating the Social Determinants of Health through Access to Justice
Authors: Genn Hazel 
Published: May 2019

Abstract
Access to justice research over two decades has documented the health-harming effects of unmet legal needs. There is growing evidence of bidirectional links between law and health demonstrating that social and economic problems with a legal dimension can exacerbate or create ill health and, conversely that ill-health can create legal problems. Independently, social epidemiological research documents gross and widening inequalities in health, largely explained by social determinants such as income, housing, employment, and education. Although legal issues are embedded in most social determinants of health, law has been largely invisible in social determinants discourse, research and interventions. This article argues that legal services have an important role to play in mitigating many of the socio-economic determinants that disproportionately impact the health of low income and vulnerable groups. It describes the international practitioner-led movement of Health Justice Partnership through which lawyers work with healthcare teams to address the root causes of ill health rather than focusing on physical and psychological manifestations of negative social determinants. Finally, the article attempts to delineate the evolving field of health justice, advancing a transdisciplinary research agenda that could strengthen both public health and access to justice research by moving beyond the limitations of single discipline approaches. Noting the vigorous policy emphasis in law and health on prevention and partnership to address the twin challenges of access to justice and health inequalities, the article ends with a plea for policy coordination that acknowledges shared responsibility across government for improving the health of the public.
Phytochelatin database: a resource for phytochelatin complexes of nutritional and environmental metals
Authors: Dennis Kristine K , Uppal Karan , Liu Ken H , Ma Chunyu , Liang Bill , Go Young-Mi , Jones Dean P 
Published: May 2019

AbstractPhytochelatins (PyCs) are a diverse set of plant compounds that chelate metals, protect against metal toxicity and function in metal homeostasis. PyCs are present in plants consumed as food by humans and could, in principle, impact absorption and utilization of essential and toxic metals such as selenium and cadmium, respectively. PyCs vary in terminal amino acid composition and chain length, exist in multiple oxidation states and reversibly bind multiple metals; consequently, PyCs include a large set of possible structures. Although individual PyC-metal complexes have been studied, no resource exists to characterize the diversity of PyCs and PyC-metal complexes. We used the scientific literature to develop a database of elemental formulas for polymer forms varying in chain length from 2 to 11 glutamyl-cysteine repeats. Using elemental formulas, we calculated monoisotopic masses using the most abundant isotopes of each element and calculated masses for complexes with 13 metals of nutritional and toxicological significance. The resulting phytochelatin database (PyCDB) contains 46 260 unique elemental formulas for PyC and PyC-metal complexes. The database is available online for download as well as for direct mass queries for mass spectrometry using an accurate mass annotation tool for user-selected PyC types, metals and adducts of interest. We performed studies of a commonly consumed food—onion—to validate the database and test utility of the tool. Onion samples were analyzed using ultra-high resolution mass spectrometry-based metabolomics. Mass spectral features were annotated using the PyCDB web tool and the R package, xMSannotator; annotated features were further validated by collision-induced dissociation mass spectrometry. The results establish use and a workflow for PyCDB as a resource for characterization of PyCs and PyC-metal complexes.
Asymmetric Competition Can Shape the Size Distribution of Trees in a Natural Tropical Forest
Authors: Picard Nicolas 
Published: May 2019

AbstractThe architecture (here, the size distribution combined with the spatial pattern of individuals) of natural forest at demographic equilibrium can be used to infer the demographic processes that drive the forest dynamics. In particular, a constant growth rate and a constant mortality rate for all trees would generate an exponential distribution of their size, whereas the metabolic scaling theory predicts a power distribution. In an undisturbed tropical rainforest in French Guiana, the diameter distribution was significantly steeper than the best-fit exponential distribution and significantly flatter than the best-fit power distribution. A simple individual-based model of forest dynamics with asymmetric competition between trees, where the strength of competition was regulated by a single parameter, was able to predict the observed distribution. Competition drove the forest into a self-organized state with stronger inequalities of size among trees, a lower mean competition index, and a spatial pattern of trees that deviated from complete spatial randomness.
White Oak (Quercus alba) Response to Thinning and Prescribed Fire in Northcentral Alabama Mixed Pine–Hardwood Forests
Authors: Schweitzer Callie J , Dey Daniel C , Wang Yong 
Published: May 2019

AbstractStrong white oak sawtimber markets, partially attributed to the stave and cooperage industries, are encouraging forest managers to re-examine silvicultural practices for white oak (Quercus alba). We examined recruitment and retention of white oak in mixed oak–pine stands on the William B. Bankhead National Forest in northcentral Alabama. Stands were subjected to three thinning levels (residual basal areas of 75 ft2/ac, 50 ft2/ac, and no thinning) and three fire frequencies (dormant season burns of none, one, three fires) in a factorial design. Both thinning treatments reduced overstory white oak tree densities, and fire had no effect on densities. For all reproduction height classes, regardless of thinning treatment, three prescribed burns increased white oak densities; thinned and burned stands had larger white oak seedling sprouts than those thinned with no burn. However, white oak reproduction height was primarily less than 2 ft tall, and seedlings larger than 4 ft tall were reduced. Thinning with one fire resulted in the highest densities of large white oak reproduction (4 ft tall up to 1.5 in. dbh). Red maple reproduction was the dominant competitor in all treatments and is positioned to dominate the reproduction cohort without additional tending treatments.
Compared with whom? Reference groups in socio-economic comparisons and self-reported health in 34 countries
Authors: Gugushvili Alexi , Jarosz Ewa , McKee Martin 
Published: May 2019

Abstract

Background
The association between socio-economic position and health is believed to be mediated, in part, by psycho-social comparison of one’s situation with that of others. But with whom? Possibilities include family, friends, elites, or even those in other countries or in previous times. So far, there has been almost no research on whether the reference point matters.

Methods
We take advantage of a comparative data set that, uniquely, allows us to ask this question. The Life in Transition Survey was conducted in four Southern European and 30 Central and Eastern European and Eurasian countries. We sought differences in the probability of good self-reported health among those using different reference groups, including own family, friends and neighbours, domestic elites, people living in other countries and those living prior to a major politico-economic transition. We used multivariable and multilevel mixed-effects Poisson regressions and estimated treatment effects via the regression adjustment of Poisson models.

Results
In most cases the choice of reference group did not matter but in some it did. Among men in Eastern European and Eurasian societies, those who compared themselves with their parents and their own families before the start of transition were less likely to report good health compared with those who did not compare their own economic situation with any specific reference group.

Conclusions
For some individuals, the choice of who to compare one’s situation with does seem to matter, pointing to an area for future investigation in research on psycho-social determinants of health.
Moment Matrices and SL(n) Equivariant Valuations on Polytopes
Authors: Ma Dan 
Published: May 2019

AbstractAll SL($n$) equivariant symmetric matrix valued valuations on convex polytopes in ${\mathbb{R}}^n$ are completely classified without any continuity assumptions. The unique ones turn out to be the moment matrices corresponding to the classical Legendre ellipsoid and the isotropic position.
Neural machine translation of clinical texts between long distance languages
Authors: Soto Xabier , Perez-de-Viñaspre Olatz , Labaka Gorka , Oronoz Maite 
Published: May 2019

Abstract

Objective
To analyze techniques for machine translation of electronic health records (EHRs) between long distance languages, using Basque and Spanish as a reference. We studied distinct configurations of neural machine translation systems and used different methods to overcome the lack of a bilingual corpus of clinical texts or health records in Basque and Spanish.

Materials and Methods
We trained recurrent neural networks on an out-of-domain corpus with different hyperparameter values. Subsequently, we used the optimal configuration to evaluate machine translation of EHR templates between Basque and Spanish, using manual translations of the Basque templates into Spanish as a standard. We successively added to the training corpus clinical resources, including a Spanish-Basque dictionary derived from resources built for the machine translation of the Spanish edition of SNOMED CT into Basque, artificial sentences in Spanish and Basque derived from frequently occurring relationships in SNOMED CT, and Spanish monolingual EHRs. Apart from calculating bilingual evaluation understudy (BLEU) values, we tested the performance in the clinical domain by human evaluation.

Results
We achieved slight improvements from our reference system by tuning some hyperparameters using an out-of-domain bilingual corpus, obtaining 10.67 BLEU points for Basque-to-Spanish clinical domain translation. The inclusion of clinical terminology in Spanish and Basque and the application of the back-translation technique on monolingual EHRs significantly improved the performance, obtaining 21.59 BLEU points. This was confirmed by the human evaluation performed by 2 clinicians, ranking our machine translations close to the human translations.

Discussion
We showed that, even after optimizing the hyperparameters out-of-domain, the inclusion of available resources from the clinical domain and applied methods were beneficial for the described objective, managing to obtain adequate translations of EHR templates.

Conclusion
We have developed a system which is able to properly translate health record templates from Basque to Spanish without making use of any bilingual corpus of clinical texts or health records.
GUNDAM: a toolkit for fast spatial correlation functions in galaxy surveys
Authors: Donoso E 
Published: May 2019

ABSTRACT
We describe the capabilities of a new software package to calculate two-point correlation functions (2PCFs) of large galaxy samples. The code can efficiently estimate 3D/projected/angular 2PCFs with a variety of statistical estimators and bootstrap errors, and is intended to provide a complete framework (including calculation, storage, manipulation, and plotting) to perform this type of spatial analysis with large redshift surveys. Gundam implements a very fast skip list/linked list algorithm that efficiently counts galaxy pairs and avoids the computation of unnecessary distances. It is several orders of magnitude faster than a naive pair counter, and matches or even surpass other advanced algorithms. The implementation is also embarrassingly parallel, making full use of multicore processors or large computational clusters when available. The software is designed to be flexible, user friendly and easily extensible, integrating optimized, well-tested packages already available in the astronomy community. Out of the box, it already provides advanced features such as custom weighting schemes, fibre collision corrections and 2D correlations. Gundam will ultimately provide an efficient toolkit to analyse the large-scale structure ‘buried’ in upcoming extremely large data sets generated by future surveys.
Variable stars in young open cluster NGC 2244
Authors: Michalska Gabriela 
Published: May 2019

ABSTRACT
We present results of a UBVIC variability survey in the young open cluster NGC 2244. In total, we found 245 variable stars. Most of them, 211 stars, are variables with irregular variations. Furthermore, 23 periodic variables were found. We also detected four candidates for δ Scuti stars and seven eclipsing binaries. Based on the mid-infrared Spitzer and WISE photometry and near infrared JHKS 2MASS photometry, we classified 104 young stellar sources among our variables: 1 Class I object, 1 Class I/flat spectrum object, 4 flat spectrum objects, 91 Class II objects, and 7 transition disc objects. This classification, together with r′i′Hα IPHAS photometry and JHK UKIDSS photometry, were used for identification of pre-main sequence stars among irregular and periodic variables. In this way, 97 CTTS candidates (96 irregular and one periodic variable), 68 WTTS candidates (54 irregular and 14 periodic variables), and 6 Herbig Ae/Be stars were found. For 223 variable stars we calculated membership probability based on proper motions from Gaia DR2 catalogue. Majority of them, 143 stars, are cluster members with probability greater than 70 per cent. For only 36 variable stars the membership probability is smaller than 20 per cent.
Unseen companions of V Hya inferred from periodic ejections
Authors: Salas Jesus M , Naoz Smadar , Morris Mark R , Stephan Alexander P 
Published: May 2019

ABSTRACT
A recent study using Hubble Space Telescope observations found periodic, high-speed, collimated ejections (or ‘bullets’) from the star V Hya. The authors of that study proposed a model associating these bullets with the periastron passage of an unseen, substellar companion in an eccentric orbit and with an orbital period of ∼8 yr. Here we propose that V Hya is part of a triple system, with a substellar companion having an orbital period of ∼8 yr, and a tertiary object on a much wider orbit. In this model, the more distant object causes high-eccentricity excitations on the substellar companion’s orbit via the Eccentric Kozai–Lidov mechanism. These eccentricities can reach such high values that they lead to Roche-lobe crossing, producing the observed bullet ejections via a strongly enhanced accretion episode. For example, we find that a ballistic bullet ejection mechanism can be produced by a brown-dwarf-mass companion, while magnetically driven outflows are consistent with a Jovian-mass companion. Finally, we suggest that the distant companion may reside at few a hundred astronomical units on an eccentric orbit.