353 research outputs found
An Analysis on Syntactic and Semantic Factors Found in Newspaper Headlines
As a type of media text, newspaper has an important role in human\u27s life because it presents various local, national and International information and events. In order to attract readers\u27 attention, journalists make the headlines as ambiguous and confusing as possible so that readers are curious to know the content of the whole story and they would read it. Moreover, in presenting the information or events, different reporters will have different linguistic choices which include the choice of words and expressions and different linguistic structures. Thus, this paper analyzes how the different linguistic choices and structures used in the headlines of The Jakarta Post and Indonesian Daily News would construct different linguistic representations of events in the world
Making Rigorous Linear Programming Practical for Program Analysis
Linear programming is a key technique for analysis and verification of numerical properties in programs, neural networks, etc. In particular, in program analysis based on abstract interpretation, many numerical abstract domains (such as Template Constraint Matrix, constraint-only polyhedra, etc.) are designed on top of linear programming. However, most state-of-the-art linear programming solvers use floating-point arithmetic in their implementations, leading to an approximate result that may be unsound. On the other hand, the solvers implemented using exact arithmetic are too costly. To this end, this paper focuses on advancing rigorous linear programming techniques based on floating-point arithmetic for building sound and efficient program analysis. Particularly, as a supplement to existing techniques, we present a novel rigorous linear programming technique based on Fourier-Mozkin elimination. On this basis, we implement a tool, namely, RlpSolver, combining our technique with existing techniques to lift effectiveness of rigorous linear programming in the scene of analysis and verification. Experimental results show that our technique is complementary to existing techniques, and their combination (RlpSolver) can achieve a better trade-off between cost and precision via heuristic rules
Memperbaiki Saturasi Oksigen, Frekuensi Denyut Jantung, Dan Pernafasan Neonatus Yang Menggunakan Ventilasi Mekanik Dengan Terapi Musik
Improving Oxygen Saturation, Heart Rate, and Respiratory Rate of Neonates Using Mechanical Ventilation with Music Therapy. Neonates using mechanical ventilation cause of respiratory disorder experience oxygenation and heart rate problems. Interventions should be made in order to calm neonates so that the need of oxygen can be minimized, one of these interventions is music therapy. This study aimed to identify the effect of music therapy on oxygen saturation, heart rate and respiratory rate of neonates using mechanical ventilation. This quasi experiment study with a pretest-posttest design without control involved 13 neonates selected by consecutive sampling. Data collected through observation and analyzed by paired t test. There was a significant difference on the average of oxygen saturation, heart rate and respiratory rate of infants using mechanical ventilation before and after music therapy (p value <0,05). Music therapy can be used as a complementary medical therapies to improve oxygenation in neonates using mechanical ventilation
Leveraging Architectural Approaches in Web3 Applications -- A DAO Perspective Focused
Architectural design contexts contain a set of factors that influence
software application development. Among them, \textit{\textbf{organizational}}
design contexts consist of high-level company concerns and how it is
structured, for example, stakeholders and development schedule, heavily
impacting design considerations. Decentralized Autonomous Organization (DAO),
as a vital concept in the Web3 space, is an organization constructed by
automatically executed rules such as via smart contracts, holding features of
the permissionless committee, transparent proposals, and fair contribution by
stakeholders. In this work, we conduct a systematic literature review to
summarize how DAO is structured as well as explore its benefits\&challenges in
Web3 applications
Multi-Scale U-Shape MLP for Hyperspectral Image Classification
Hyperspectral images have significant applications in various domains, since
they register numerous semantic and spatial information in the spectral band
with spatial variability of spectral signatures. Two critical challenges in
identifying pixels of the hyperspectral image are respectively representing the
correlated information among the local and global, as well as the abundant
parameters of the model. To tackle this challenge, we propose a Multi-Scale
U-shape Multi-Layer Perceptron (MUMLP) a model consisting of the designed MSC
(Multi-Scale Channel) block and the UMLP (U-shape Multi-Layer Perceptron)
structure. MSC transforms the channel dimension and mixes spectral band feature
to embed the deep-level representation adequately. UMLP is designed by the
encoder-decoder structure with multi-layer perceptron layers, which is capable
of compressing the large-scale parameters. Extensive experiments are conducted
to demonstrate our model can outperform state-of-the-art methods
across-the-board on three wide-adopted public datasets, namely Pavia
University, Houston 2013 and Houston 2018Comment: 5 page
Pattern and variation of C:N:P ratios in China’s soils : a synthesis of observational data
Author Posting. © The Author(s), 2009. This is the author's version of the work. It is posted here by permission of Springer for personal use, not for redistribution. The definitive version was published in Biogeochemistry 98 (2010): 139-151, doi:10.1007/s10533-009-9382-0.Inspired by previous studies that have indicated consistent or even
well-constrained relationships among carbon (C), nitrogen (N) and phosphorus (P) in
soils, we have endeavored to explore general soil C:N:P ratios in China on a national
scale, as well as the changing patterns of these ratios with soil depth, developmental
stages and climate; we also attempted to determine if well-constrained C:N:P
stoichiometrical ratios exist in China’s soil. Based on an inventory data set of 2,384
soil profiles, our analysis indicated that the mean C:N, C:P and N:P ratios for the entire
soil depth (as deep as 250 cm for some soil profiles) in China were 11.9, 61 and 5.2,
respectively, showing a C:N:P ratio of ~60:5:1. C:N ratios showed relatively small
variation among different climatic zones, soil orders, soil depth and weathering stages,
while C:P and N:P ratios showed a high spatial heterogeneity and large variations in
different climatic zones, soil orders, soil depth and weathering stages. No
well-constrained C:N:P ratios were found for the entire soil depth in China. However,
for the 0-10 cm organic-rich soil, where has the most active organism-environment
interaction, we found a well-constrained C:N ratio (14.4, molar ratio) and relatively
consistent C:P (136) and N:P (9.3) ratios, with a general C:N:P ratio of 134:9:1.
Finally, we suggested that soil C:N, C:P and N:P ratios in organic-rich topsoil could be
a good indicator of soil nutrient status during soil development.This study was supported by NASA Interdisciplinary Science
Program (NNG04GM39C), NASA Land Cover and Land Use Change Program
(NNX08AL73G_S01), and the Chinese Academy of Science ODS Program
Projecting terrestrial carbon sequestration of the southeastern United States in the 21st century
How terrestrial ecosystems respond to future environmental change in the 21st century is critically important for understanding the feedbacks of terrestrial ecosystems to global climate change. The southeastern United States (SEUS) has been one of the major regions acting as a carbon sink over the past century; yet it is unclear how its terrestrial ecosystems will respond to global environmental change in the 21st century. Applying a process-based ecosystem model (Dynamic Land Ecosystem Model, DLEM) in combination with three projected climate change scenarios (A1B, A2, and B1 from the IPCC report) and changes in atmospheric carbon dioxide, nitrogen deposition, and ozone pollution, we examined the potential changes of carbon storage and fluxes in the terrestrial ecosystems across the SEUS during 2000–2099. Simulation results indicate that SEUS\u27s terrestrial ecosystems will likely continue to sequester carbon in the 21st century, resulting in an increase in total carbon density (i.e., litter, vegetation biomass and soil carbon) from 13.5 kg C/m2 in the 2000s to 16.8 kg C/m2 in the 2090s. The terrestrial gross primary production and net primary production will probably continuously increase, while the net carbon exchange (positive indicates sink and negative indicates source) will slightly decrease. The carbon sequestration is primarily attributed to elevated atmospheric carbon dioxide and nitrogen deposition. Forests, including both deciduous and evergreen, show the largest increase in carbon storage as compared with other biomes, while cropland carbon storage shows a small decrease. The sequestered carbon will be primarily stored in vegetation for deciduous forest and in soil for evergreen forest. The central and eastern SEUS will sequester more carbon, while the western portion of the SEUS will release carbon to the atmosphere. The combined effects of climate and atmospheric changes on carbon fluxes and storage vary among climate models and climate scenarios. The largest increase in carbon storage would occur under the A1B climate scenario simulated by the NCAR climate model. Generally, the A1B scenario would result in more carbon sequestration than A2 and B1 scenarios; and the projected climate condition by the NCAR model would result in more carbon sequestration than other climate models
RESEARCH
Impacts of tropospheric ozone and climate change on net primary productivity and net carbon exchange of China’s forest ecosystemsgeb_606 391..40
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