scholarly journals A spatial ecological analysis of the reintroduction of the Eurasian beaver

2021 ◽  
Vol 937 (2) ◽  
pp. 022003
Author(s):  
Junshuang Yu ◽  
Matthew Dennis

Abstract As ‘nature’s ecological engineers’ beavers can intentionally modify their habitat by building structures. This ability can have wider environmental benefits, including benefits for other habitats and species. However, this ability to modify the environment can sometimes be destructive, bringing beavers into conflict with land managers and others. To understand the complex connections between Eurasian beavers and ecosystems, this study was based on R language analysis tool that used land cover types, river network distribution and observational record studies of Eurasian beavers to find their most preferred environmental resources and potential habitats. The results found that reintroduced Eurasian beavers have a high potential for settlement and dispersal in restored areas.

Author(s):  
Daiga Deksne ◽  
Anna Vulāne

This paper reports on the development of spell checking and morphological analysis tools for Latgalian. The Latgalian written language is a historic variant of the Latvian language. There is a wide range of language analysis tools available for Latvian, whereas the Latgalian language lacks such tools. The work is done by the joint effort of linguists who work on morphologically marked lexicon creation and IT specialists who work on language tool development. For the creation of a morphological analysis tool, we reuse the FST technology used for the Latvian morphological analyzer. We create a spelling dictionary that can be used with the Hunspell engine. All tools are accessible via Web Service. For now, the Latgalian lexicon contains 13,139 lemmas marked by 105 inflection groups. The work of lexicon replenishment still continues.


2020 ◽  
Vol 16 (1) ◽  
pp. 4279-4288 ◽  
Author(s):  
Qiangwei Wang ◽  
Zhiliang Wang ◽  
Zhaoshi Bao ◽  
Chuanbao Zhang ◽  
Zheng Wang ◽  
...  

Aim: We aimed at investigating molecular features and potential clinical value of PABPC1 in gliomas. Materials & methods: We assembled totally 1000 glioma samples with mRNA expression data from Chinese Glioma Genome Atlas and The Cancer Genome Atlas. We utilized R language as the main analysis tool. Gene Ontology was performed for functional analysis. Results: PABPC1 was downregulated in gliomas with higher malignance and PABPC1 may contribute as potential predictor of proneural subtype in gliomas. Higher expression of PABPC1 was significantly related to better prognosis and related to biological process of translation. Conclusion: Our finding improves the understanding of PABPC1 as a novel biomarker with potential therapeutic connotations.


2019 ◽  
Vol 15 (4) ◽  
pp. 1-17
Author(s):  
Mihail Iancovici

Abstract The Romanian, as well as other wind design codes for building structures, provides with limited degree of accuracy, the aerodynamic loads distribution on buildings up to 200 meters tall in an equivalent static approach (ESWL). For tall wind-sensitive building structures, especially for those with irregular shapes, most of the codes or standards recommend for design to use pressure data recorded in the wind tunnel. The ESWL approach is however used as reference estimation and structural first phase design. Advances on experimental and computational capabilities, led in the past decade to a significant development of time-domain analysis framework, both for seismic and wind loads. While the major outcome for earthquake engineering practitioners is to select appropriate design input ground motions at a particular site, the wind engineering practitioners are facing numerical difficulties to handle large wind loading durations, especially dealing with nonlinear-induced effects. The paper presents a real-time integrated framework for the analysis and design of tall buildings to wind loads, based on the time-domain analysis tool, as a prerequisite for higher level modules as vulnerability, risk and loss estimation, and optimization analyses.


2021 ◽  
Vol 893 (1) ◽  
pp. 012059
Author(s):  
A Kurniawan ◽  
M Ryan ◽  
A M Rafi ◽  
B E A Haq ◽  
Sudirman ◽  
...  

Abstract An observation network will never be enough for creating good information about monthly rainfall. An interpolation method is always needed. For operational purposes, inverse distance weighting (IDW) method is used. In East Java, 197 observation points are involved, then IDW's parameters used are neighbor=12 and power=2. The consequences of this framework are investigated in this study. By reversing IDW's formula, two kinds of raster analyses are developed, distance to neighbor used (DNU) and coefficient from point (CFP). DNU shows how far points are used for doing interpolation in some area by kilometer (km) meanwhile CFP describes an area impacted by a point and value sent to another cell from an observation point. Data used in this study are longitude and latitude of 197 observation points. The scripts are written in R Language. Analysis based on local governmental region shows that Sumenep has very far DNU. In average, the first point used located more than 25 km, and its twelfth is 112 km (average other regions DNU1=7 km and DNU12=35 km). It means there should be a unique interpolation mechanism for Sumenep. CFP confirms that some points give impact in unnatural ways (impacted area=5741 km2). We propose DNU and CFP as alternative quality control parameters for investigating consequences in interpolating rainfall.


2020 ◽  
Vol 40 (05) ◽  
pp. 277-285
Author(s):  
Parthasarathi Mukhopadhyay ◽  
Anirban Dutta

It reports the development of an enhanced library OPAC prototype through integration of language analysis tool and book reader in the retrieval interface. Language analysis or text analytics is considered as one of the components of language documentation and when integrated with library OPAC can extend supports to analyse corpus of the retrieved document in terms of word/phrase frequency, term circus, term links, term context etc through visual representation in a single-window along with the other datasets generally expected in a typical library OPAC. The open source software based integration mechanism is tested with English and Bengali as mainstream languages and a Unicode-compliant Indian official tribal language Santali (Ol Chiki script) as minority language.


2015 ◽  
Vol 13 (4) ◽  
pp. e0215 ◽  
Author(s):  
Kun Zhou ◽  
Allan L. Jensen ◽  
Dionysis D. Bochtis ◽  
Claus G. Sørensen

<p>Statistics on the machinery performance are essential for farm managers to make better decisions.<strong> </strong>In this paper, the performance of all machineries in five sequential operations, namely bed forming, stone separation, planting, spraying and harvesting in the potato production system, were investigated during one growing season. In order to analyse and decompose the recorded GPS data into various time and distance elements for estimation of the machinery performance, an automatic GPS analysis tool was developed. The field efficiency and field capacity were estimated for each operation. Specifically, the measured average field efficiency was 71.3% for bed forming, 68.5% for stone separation, 40.3% for planting, 69.7% for spraying, and 67.4% for harvesting. The measured average field capacities were 1.46 ha/h, 0.53 ha/h, 0.47 ha/h, 10.21 ha/h, 0.51 ha/h, for the bed forming, stone separation, planting, spraying, and harvesting operations, respectively. These results deviate from the corresponding estimations calculated based on norm data from the American Society of Agricultural and Biological Engineers (ASABE). The deviations indicate that norms provided by ASABE cannot be used directly for the prediction of performance of the machinery used in this work. Moreover, the measured data of bed forming and stone separation could be used as supplementary data for the ASABE which does not provide performance norms for these two operations. The gained results can help farm managers to make better management and operational decisions that result in potential improvement in productivity and profitability as well as in potential environmental benefits.</p>


1982 ◽  
Vol 13 (1) ◽  
pp. 37-41
Author(s):  
Larry J. Mattes

Elicited imitation tasks are frequently used as a diagnostic tool in evaluating children with communication handicaps. This article presents a scoring procedure that can be used to obtain an in-depth descriptive analysis of responses produced on elicited imitation tasks. The Elicited Language Analysis Procedure makes it possible to systematically evaluate responses in terms of both their syntactic and semantic relationships to the stimulus sentences presented by the examiner. Response quality measures are also included in the analysis procedure.


1984 ◽  
Vol 15 (3) ◽  
pp. 154-168 ◽  
Author(s):  
Mary Ann Lively

Developmental Sentence Scoring (DSS) is a useful procedure for quantifying thegrammatic structure of children's expressive language. Like most language analysis techniques, however, DSS requires considerable study and practice to use it correctly and efficiently. Clinicians learning DSS tend to make many scoring errors at first and they display similar confusions and mistakes. This article identifies some of these common "problem" areas and provides scoring examples to assist clinicians in learning the DSS procedure.


2001 ◽  
Vol 10 (2) ◽  
pp. 180-188 ◽  
Author(s):  
Steven H. Long ◽  
Ron W. Channell

Most software for language analysis has relied on an interaction between the metalinguistic skills of a human coder and the calculating ability of the machine to produce reliable results. However, probabilistic parsing algorithms are now capable of highly accurate and completely automatic identification of grammatical word classes. The program Computerized Profiling combines a probabilistic parser with modules customized to produce four clinical grammatical analyses: MLU, LARSP, IPSyn, and DSS. The accuracy of these analyses was assessed on 69 language samples from typically developing, speech-impaired, and language-impaired children, 2 years 6 months to 7 years 10 months. Values obtained with human coding and by the software alone were compared. Results for all four analyses produced automatically were comparable to published data on the manual interrater reliability of these procedures. Clinical decisions based on cutoff scores and productivity data were little affected by the use of automatic rather than human-generated analyses. These findings bode well for future clinical and research use of automatic language analysis software.


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