scholarly journals Application of Density Based Clustering of Disaster Location in Realtime Social Media

TEM Journal ◽  
2020 ◽  
pp. 929-936
Author(s):  
Mochammad Haldi Widianto ◽  
Ivan Diryana Sudirman ◽  
Muhammad Hanif Awaluddin
Keyword(s):  
Social Media ◽  
Natural Disasters ◽  
Clustering Methods ◽  
Silhouette Coefficient ◽  
Density Based Clustering ◽  
Data Density ◽  
Disaster Data ◽  
User Data ◽  
High Degree ◽  
Degree Of Similarity

Online life is used as a method of finding information, one of which is Twitter as the medium. The occurrence of natural disasters is very detrimental. Therefore, the application is needed to see natural disasters through social media Twitter. A small number of studies using clustering methods based on Twitter user data density are the beginning of this research. With the availability of data in certain areas makes it easy to group. After that, the data is grouped based on a high degree of similarity. One result of applying this method is the location of the disaster. NER-based rules are used to discover out the area of the disaster. Data accuracy testing is performed using the Silhouette coefficient.

PENERAPAN ALGORITMA K-MEANS UNTUK PENGELOMPOKAN DAERAH RAWAN BENCANA DI INDONESIA

2019 ◽  
Vol 1 (2) ◽  
pp. 1-10
Author(s):  
Amril Mutoi Siregar
Keyword(s):  
Natural Disasters ◽  
Accurate Data ◽  
Disaster Victims ◽  
Central Java ◽  
North Sulawesi ◽  
Natural Beauty ◽  
Or Groups ◽  
Disaster Data ◽  
The Government ◽  
Almost All

Indonesia is a country located in the equator, which has beautiful natural. It has a mountainous constellation, beaches and wider oceans than land, so that Indonesia has extraordinary natural beauty assets compared to other countries. Behind the beauty of natural it turns out that it has many potential natural disasters in almost all provinces in Indonesia, in the form of landslides, earthquakes, tsunamis, Mount Meletus and others. The problem is that the government must have accurate data to deal with disasters throughout the province, where disaster data can be in categories or groups of regions into very vulnerable, medium, and low disaster areas. It is often found when a disaster occurs, many found that the distribution of long-term assistance because the stock for disaster-prone areas is not well available. In the study, it will be proposed to group disaster-prone areas throughout the province in Indonesia using the k-means algorithm. The expected results can group all regions that are very prone to disasters. Thus, the results can be Province West java, central java very vulnerable categories, provinces Aceh, North Sumatera, West Sumatera, east Java and North Sulawesi in the medium category, provinces Bengkulu, Lampung, Riau Island, Babel, DIY, Bali, West Kalimantan, North Kalimantan, Central Sulawesi, West Sulawesi, Maluku, North Maluku, Papua, west Papua including of rare categories. With the results obtained in this study, the government can map disaster-prone areas as well as prepare emergency response assistance quickly. In order to reduce the death toll and it is important to improve the services of disaster victims. With accurate data can provide prompt and appropriate assistance for victims of natural disasters.

Afterword

2020 ◽  
pp. 680-683
Author(s):  
Janice L. Waldron ◽  
Stephanie Horsley ◽  
Kari K. Veblen
Keyword(s):  
Social Media ◽  
Media Use ◽  
Careful Selection ◽  
Social Media Use ◽  
Pedagogical Tools ◽  
The Future ◽  
User Data ◽  
Selection Of ◽  
Data Surface

We all feel the implications of the force of social media—for good and for ill—in our lives and in our professional world. At the time of this writing, Facebook continues with its struggle to “clean up its act” as more revelations surrounding breaches of trust and hacked user data surface in the news and various countries attempt to hold Facebook to account. Despite this, social media use continues to grow exponentially, and the potential for responsible, ethical, and transparent social media to transform the ways in which we interact with and learn from each other increase with it. As we wait to see what the future holds for social media in society, we are reminded once again that it is the careful selection of pedagogical tools such as social media, as well the guided awareness of the challenges and benefits of those tools, that remains constant, even as tools may change, disappear, or fall out of fashion.

Political Interaction Beyond Party Lines: Communication Ties and Party Polarization in Parliamentary Twitter Networks

2021 ◽  
pp. 089443932098756
Author(s):  
Marc Esteve Del Valle ◽  
Marcel Broersma ◽  
Arnout Ponsioen
Keyword(s):  
Social Media ◽  
Political Parties ◽  
Geographical Area ◽  
Political Polarization ◽  
Exponential Random Graph Models ◽  
Party Polarization ◽  
Exponential Random Graph ◽  
Political Networks ◽  
Use Of Social Media ◽  
High Degree

A growing body of research has examined the uptake of social media by politicians, the formation of communication ties in online political networks, and the interplay between social media and political polarization. However, few studies have analyzed how social media are affecting communication in parliamentary networks. This is especially relevant in highly fragmented political systems in which collaboration between political parties is crucial to win support in parliament. Does MPs’ use of social media foster communications among parliamentarians who think differently, or does it result in like-minded clusters polarized along party lines, confining MPs to those who think alike? This study analyzes the formation of communication ties and the degree of homophily in the Dutch MPs’ @mention Twitter network. We employed exponential random graph models on a 1-year sample of all tweets in which Dutch MPs mentioned each other ( N = 7,356) to discover the network parameters (reciprocity, popularity, and brokerage) and individual attributes (seniority, participation in the parliamentary commissions, age, gender, and geographical area) that facilitate communication ties among parliamentarians. Also, we measured party polarization by calculating the external–internal index of the mentions. Dutch MPs’ communication ties arise from network dynamics (reciprocity, brokerage, and popularity) and from MPs’ participation in the parliamentary commissions, age, gender, and geographical area. Furthermore, there is a high degree of cross-party interactions in the Dutch MPs’ mentions Twitter network. Our results refute the existence of “echo chambers” in the Dutch MPs’ mentions Twitter network and support the hypothesis that social media can open up spaces for discussion among political parties. This is particularly important in fragmented consensus democracies where negotiation and coordination between parties to form coalitions is key.

Using Cluster Analysis to Improve Marketing Experiments

1971 ◽  
Vol 8 (3) ◽  
pp. 340-347 ◽  
Author(s):  
George S. Day ◽  
Roger M. Heeler
Keyword(s):  
Cluster Analysis ◽  
Space Representation ◽  
Reduced Space ◽  
High Degree ◽  
Degree Of Similarity ◽  
Sensitive Experiment ◽  
Selection Of

When the selection of a sample of stores or cities requires a high degree of similarity among the test units in order to ensure a sensitive experiment, the sample may no longer represent the market. These conflicting requirements can be satisfied by choosing the sample from clusters displayed in a reduced space representation of the market.

Are Tetranychus macfarlanei Baker & Pritchard and Tetranychus malaysiensis Ehara (Acari: Tetranychidae) one species? Morphological and molecular evidences for synonymy between these two spider mite species and a note on invasiveness of T. macfarlanei on okra and eggplant in India

2017 ◽  
Vol 22 (4) ◽  
pp. 467
Author(s):  
Mahran Zeity ◽  
Nagappa Srinivas ◽  
Chinnamade Channegowde Gowda
Keyword(s):  
Spider Mite ◽  
Morphological Characters ◽  
Molecular Data ◽  
Mite Species ◽  
Coi Gene ◽  
High Similarity ◽  
Mitochondrial Coi ◽  
Mitochondrial Coi Gene ◽  
High Degree ◽  
Degree Of Similarity

Study of morphological characters of Tetranychus macfarlanei Baker & Pritchard and Tetranychus malaysiensis Ehara revealed high similarity by comparing all the important characters in addition to the characters pointed out by Ehara to separate those two species. Molecular phylogeny of seven Indian populations of T. macfarlanei and one population of T. malaysiensis from Philippines along with few distantly related species of Tetranychus was attempted. High degree of similarity between these two species at mitochondrial COI gene (96%) as well as ITS2 (rDNA) (96–99%) region was evident. Based on both morphological features and molecular data, T. malaysiensis is proposed as a junior synonym of T. macfarlanei based on ICZN’s law of priority. Also more female characters are prompted in this study to distinctly discriminate T. macfarlanei from its most resembling species, Tetranychus ludeni Zacher. Tetranychus macfarlanei has emerged as a pest of several cultivated crop plants in India. 

Jesus in the World of Religions a Preliminary Plotting of a Route Map

1998 ◽  
Vol 5 (3) ◽  
pp. 311-334
Author(s):  
Gerhard Van Den Heever
Keyword(s):  
Comparative Study ◽  
The World ◽  
High Degree ◽  
The Relationship ◽  
Degree Of Similarity

AbstractIn a comparative study the issue is raised about the relationship between the construction of the saviour-image in Christianity, Buddhism, Zoroastrianism and Hinduism. The historical links between these traditions are highlighted and then the article proceeds to argue that when compared, the projections of the images of Jesus and Buddha, Jesus and Zoroaster and Jesus and Krishna exhibit a high degree of similarity. In the process questions are asked about the nature of religion and the value of comparative study.

Dexmedetomidine upregulates the expression of miR-493-5p, inhibiting growth and inducing the apoptosis of lung adenocarcinoma cells by targeting RASL11B

2021 ◽  
pp. 1-8
Author(s):  
Bo Xu ◽  
Yiling Qian ◽  
Chunxiao Hu ◽  
Yongsheng Wang ◽  
Hong Gao ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Luciferase Reporter ◽  
Adenocarcinoma Cell Line ◽  
Expression Levels ◽  
Lung Adenocarcinoma Cell Line ◽  
Adenocarcinoma Cells ◽  
Reporter Assays ◽  
Lung Adenocarcinoma Cells ◽  
High Degree ◽  
Degree Of Similarity

Numerous studies have indicated that microRNAs (miRNAs) play critical roles in the development and progression of cancer. However, how changes to the expression levels of miRNAs in response to dexmedetomidine affects the progression of lung cancer remains poorly understood. In this study, we treated the lung adenocarcinoma cell line-A549 with dexmedetomidine and then examined the changes to the expression levels of miRNAs. We found that one of the most significantly upregulated miRNAs was miR-493-5p, which has an important role in the growth and apoptosis of lung adenocarcinoma (LUAD) cells. In addition, bioinformatics searches and luciferase reporter assays revealed that miR-493-5p targets RASL11B, which has a high degree of similarity to RAS. Finally, database searches revealed that RASL11B is associated with survival of LUAD cells. In conclusion, dexmedetomidine causes changes to the expression levels of miRNAs in LUAD, including significant upregulation of miR-493-5p. MiR-493-5p targets RASL11B, thereby inhibiting cell growth and inducing apoptosis in LUAD.

scholarly journals Origin, Traject and Distribution of Renal Arteries (Arteriae renalis) in Chinchilla lanigera

2018 ◽  
Vol 75 (1) ◽  
pp. 129
Author(s):  
Cristian MARTONOS ◽  
Cristian DEZDROBITU ◽  
Florin STAN ◽  
Aurel DAMIAN ◽  
Alexandru GUDEA
Keyword(s):  
Renal Artery ◽  
Renal Arteries ◽  
Left Renal Artery ◽  
Lateral Part ◽  
Formaldehyde Solution ◽  
Anatomical Dissection ◽  
The Right ◽  
High Degree ◽  
Aorta Abdominalis ◽  
Degree Of Similarity

For the present study a number of 5 female chinchilla carcasses were used. The animals were slaughtered for commercial purpuses (fur). The anatomical dissection started with the identification of the aorta (Aorta abdominalis). The next step was the intra-arterial injection of a colouring substance. The carcasses was fixed in the formaldehyde solution and subsequently the renal arteries were dissected. The first renal artery was the right renal artery (Arteria renalis dextra) and, at 0,5 cm caudally, the left renal artery (Arteria renalis sinister) arose . The origin of those arteries were disposed on the lateral part of the abdominal aorta.The origin, traject and distribution of renal arteries on the studied species have a high degree of similarity with the literature dates described for leporids.

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