scholarly journals POLA PERSEBARAN DAN KETERJANGKAUAN LOKASI SEKOLAH TERHADAP PEMUKIMAN DENGAN MENGGUNAKAN SISTEM INFORMASI GEOGRAFI KECAMATAN BATAUGA KABUPATEN BUTON SELATAN

2019 ◽  
Vol 4 (4) ◽  
pp. 226
Author(s):  
Mukhlis Mukhlis ◽  
La Harudu
Keyword(s):  
Cluster Pattern

Sekolah merupakan sarana utama dalam pemenuhan kebutuhan masyarakat akan pendidikan. Untuk itu sekolah harus terletak pada posisi yang strategis dan tersebar  merata diseluruh daerah. Tujuan dalam penelitian ini adalah untuk mengetahui pola persebaran lokasi sekolah di Kecamatan Batauga Kabupaten Buton Selatan serta mengetahui keterjangkauan lokasi sekolah terhadap pemukiman di Kecamatan Batauga Buton Selatan. Metode yang digunakan dalam penelitian ini adalah metode deskriptif  kuantititatif dengan Analisis Neighbour Nearest dan analisis baffer. Data dalam penelitian ini diperoleh dengan survei dan kajian dokumen. Hasil penelitian menunjukan bahwa; 1) pola persebaran Lokasi Sekolah di Kecamatan Batauga dihitung dengan menggunakan analisis tetangga terdekat (Analysis Nearest Nighbour) diperoleh nilai T= 0,26369, pola spasial persebaran Lokasi Sekolah di Kecamatan Batauga adalah tersebar Mengelompok (Cluster pattern), 2) hasil analisis spasial menggunakan fungsi Baffer sebaran lokasi sekolah di Kecamatan Batuaga, sepenuhnya belum melayani seluruh Desa/Kelurahan yang ada di Kecamatan Batauga. Fasilitas pendidikan Sekolah Menengah Pertama (SMP/MTs) hanya mampu melayani 75% yaitu Desa Lawela, Lawela Seatan, Bandar Batauga, Busoa, Lakambau, Majapahit, Pogalampa, Mologina dan Desa Bola. Sedangkan Desa/Kelurahan yang belum terlayani Fasilitas pendidikan Sekolah Menengah Pertama (SMP/MTs) yaitu Desa Masiri, Desa Laompo dan Desa Lampanairi. Sementara  untuk Sekolah Menengah Atas (SMA) 91,6% telah melayani keseluruhan Desa/Kelurahan di Kecamatan Batuga. Adapun yang belum terjangkau oleh fasilitas pendidikan Sekolah Menengah Atas (SMA) adalah Desa Mologina.

scholarly journals Can Architectural Surfaces Capture Atmospheric Particulate Matter Like Trees? A Design Strategy to Mimic Leaf Traits

2021 ◽  
Vol 13 (14) ◽  
pp. 7637
Author(s):  
Taekyoung Lee ◽  
Jieun Cha ◽  
Sohyun Sung
Keyword(s):  
Leaf Traits ◽  
Design Strategy ◽  
Atmospheric Particulate Matter ◽  
Porous Surface ◽  
Base Surface ◽  
Different Types ◽  
Pm2.5 And Pm10 ◽  
Micro Morphology ◽  
The Impact ◽  
Cluster Pattern

Trees’ ability to capture atmospheric Particular Matter (PM) is related to morphological traits (shape, size, and micro-morphology) of the leaves. The objectives of this study were (1) to find out whether cluster pattern of the leaves is also a parameter that affects trees’ PM capturing performance and (2) to apply the cluster patterns of the leaves on architectural surfaces to confirm its impact on PM capturing performance. Two series of chamber experiments were designed to observe the impact of cluster patterns on PM capturing performance whilst other influential variables were controlled. First, we exposed synthetic leaf structures of different cluster patterns (a large and sparsely arranged cluster pattern and a small and densely arranged cluster pattern) to artificially generated PM in a chamber for 60 min and recorded the changing levels of PM2.5 and PM10 every minute. The results confirmed that the small and densely arranged cluster pattern has more significant effect on reducing PM2.5 and PM10 than the large and sparsely arranged cluster pattern. Secondly, we created three different types of architectural surfaces mimicking the cluster patterns of the leaves: a base surface, a folded surface, and a folded and porous surface. The surfaces were also exposed to artificially generated PM in the chamber and the levels of PM2.5 and PM10 were recorded. The results confirmed that the folded and porous surface has a more significant effect on reducing PM2.5 and PM10 than other surfaces. The study has confirmed that the PM capturing performance of architectural surfaces can be improved by mimicking cluster pattern of the leaves.

scholarly journals Factors influencing location choice and cluster pattern of manufacturing small and medium enterprises in cities: evidence from Khulna City of Bangladesh

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
S. M. Towhidur Rahman ◽  
Ahsanul Kabir
Keyword(s):  
Small And Medium Enterprises ◽  
Location Choice ◽  
Cluster Formation ◽  
Personal Factors ◽  
Location Selection ◽  
Community Factors ◽  
Multiple Case ◽  
Specific Factors ◽  
Medium Enterprises ◽  
Cluster Pattern

AbstractThis study aims to identify the location and cluster pattern of manufacturing SMEs in Khulna City and the reasons behind such pattern since localisation of SMEs has significant impact on the economic development of cities and regions. A walking survey was conducted to identify the SME location pattern and a semi-structured personal interview was conducted to collect data from manufacturing SME entrepreneurs to find why such patterns exist. A cross section qualitative multiple case study design and pattern matching technique was applied to answer the research questions. The finding of the study shows SME location choice was influenced by a combination of location specific, personal, and community factors whereby personal factors are prioritised over other factors in location selection. While the cluster formation or localisation of SMEs depends on only location-specific factors. The study findings are expected to contribute in urban planning and regional development through providing useful insights relating allocation of spaces for industry development.

Design and Fabrication of the Superabrasive Grinding Wheel with Phyllotactic Pattern

2012 ◽  
Vol 472-475 ◽  
pp. 2354-2360 ◽  
Author(s):  
Yu Shan Lu ◽  
Cheng Yi Zhao ◽  
Jun Wang ◽  
Yan He ◽  
Zhi Hui Kou
Keyword(s):  
Experimental Results ◽  
Grinding Wheel ◽  
Wheel Surface ◽  
Work Surface ◽  
Phyllotactic Pattern ◽  
Uv Lithography ◽  
Working Surface ◽  
Abrasive Grain ◽  
Grinding Performance ◽  
Cluster Pattern

In order to achieve the controllability of the abrasive arrangement on the working surface of grinding wheel,a new kind of the superabrasive grinding wheel, which has defined abrasive grain cluster pattern, has been designed based on the phyllotaxis theory of biology, and fabricated with UV lithography method and electroplating technology. The analytical results indicate that the phyllotactic parameters influence on the abrasive arrangement configuration on the work surface of the superabrasive grinding wheel, so as to improve grinding performance of the grinding wheel, increasing the diameter of phyllotactic abrasive grain cluster and decreasing phyllotactic coefficient can increases the abrasive grain density of the surperabrasive grinding wheel surface. Electroplating experimental results show that the reasonable electroplating processes can reduce the faults of defined abrasive arrangement on the superabrasive grinding wheel surface.

scholarly journals Bayesian group finder based on marked point processes

2018 ◽  
Vol 618 ◽  
pp. A81 ◽  
Author(s):  
Elmo Tempel ◽  
Maarja Kruuse ◽  
Rain Kipper ◽  
Taavi Tuvikene ◽  
Jenny G. Sorce ◽  
...  
Keyword(s):  
Probability Density ◽  
Point Processes ◽  
Marked Point ◽  
Marked Point Processes ◽  
Mathematical Framework ◽  
Fixed Temperature ◽  
Data Set ◽  
Galaxy Groups ◽  
Galaxy Redshift ◽  
Cluster Pattern

Context. Galaxy groups and clusters are formidable cosmological probes. They permit the studying of the environmental effects on galaxy formation. A reliable detection of galaxy groups is an open problem and is important for ongoing and future cosmological surveys. Aims. We propose a probabilistic galaxy group detection algorithm based on marked point processes with interactions. Methods. The pattern of galaxy groups in a catalogue is seen as a random set of interacting objects. The positions and the interactions of these objects are governed by a probability density. The parameters of the probability density were chosen using a priori knowledge. The estimator of the unknown cluster pattern is given by the configuration of objects maximising the proposed probability density. Adopting the Bayesian framework, the proposed probability density is maximised using a simulated annealing (SA) algorithm. At fixed temperature, the SA algorithm is a Monte Carlo sampler of the probability density. Hence, the method provides “for free” additional information such as the probabilities that a point or two points in the observation domain belong to the cluster pattern, respectively. These supplementary tools allow the construction of tests and techniques to validate and to refine the detection result. Results. To test the feasibility of the proposed methodology, we applied it to the well-studied 2MRS data set. Compared to previously published Friends-of-Friends (FoF) group finders, the proposed Bayesian group finder gives overall similar results. However for specific applications, like the reconstruction of the local Universe, the details of the grouping algorithms are important. Conclusions. The proposed Bayesian group finder is tested on a galaxy redshift survey, but more detailed analyses are needed to understand the actual capabilities of the algorithm regarding upcoming cosmological surveys. The presented mathematical framework permits adapting it easily for other data sets (in astronomy and in other fields of sciences). In cosmology, one promising application is the detection of galaxy groups in photometric galaxy redshift surveys, while taking into account the full photometric redshift posteriors.

Slow fiber cluster pattern in pig longissimus thoracis muscle: Implications for myogenesis

2003 ◽  
Vol 81 (4) ◽  
pp. 973-983 ◽  
Author(s):  
S. Fonseca ◽  
I. J. Wilson ◽  
G. W. Horgan ◽  
C. A. Maltin
Keyword(s):  
Slow Fiber ◽  
Cluster Pattern

Origin of Clusters: IV. Low Temperature Fast-Atom Bombardment Cluster Patterns Point to the Possible Existence of NaCl Crystalline Hydrates Incorporating Heavy Water

2002 ◽  
Vol 8 (2) ◽  
pp. 157-161 ◽  
Author(s):  
Marina V. Kosevich ◽  
Oleg A. Boryak ◽  
Vadim S. Shelkovsky
Keyword(s):  
Low Temperature ◽  
Heavy Water ◽  
Fast Atom Bombardment ◽  
Reference Data ◽  
Mass Spectrometry Data ◽  
Crystalline Hydrate ◽  
Nacl Solution ◽  
Characteristic Distribution ◽  
Cluster Pattern ◽  
Crystalline Hydrates

Low temperature fast-atom bombardment study of frozen D2O–NaCl solutions gave results similar to those obtained earlier for the H2O–NaCl system. Thus, sets of clusters (D2O) n•D+, (D2O) n•Na+, (D2O) n•NaCl•Na+, (NaCl) m•Na+ with a characteristic distribution depending on the composition of the sample and phase transitions on its thawing were recorded. A typical cluster pattern, attributed in the case of the H2O–NaCl system to a phase of a crystalline hydrate NaCl•2H2O, was observed for the D2O–NaCl system as well. At the same time, recently available reference data on the solubility of NaCl do not contain a specification for the formation of a crystalline hydrate on cooling of NaCl solution in D2O. Considering the present mass spectrometry data, the possibility of incorporation of heavy water into NaCl crystalline hydrates is discussed.

scholarly journals Phylogenetic Tree Analysis of the Cold-Hot Nature of Traditional Chinese Marine Medicine for Possible Anticancer Activity

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Xianjun Fu ◽  
Xuxia Song ◽  
Xuebo Li ◽  
Kah Keng Wong ◽  
Jiaoyang Li ◽  
...  
Keyword(s):  
Phylogenetic Tree ◽  
Anticancer Activity ◽  
Anticancer Drugs ◽  
Association Rules ◽  
Marine Organisms ◽  
Phylogenetic Tree Analysis ◽  
Tree Analysis ◽  
Genus 2 ◽  
Cluster Pattern ◽  
Chinese Marine

Traditional Chinese Marine Medicine (TCMM) represents one of the medicinal resources for research and development of novel anticancer drugs. In this study, to investigate the presence of anticancer activity (AA) displayed by cold or hot nature of TCMM, we analyzed the association relationship and the distribution regularity of TCMMs with different nature (613 TCMMs originated from 1,091 species of marine organisms) via association rules mining and phylogenetic tree analysis. The screened association rules were collected from three taxonomy groups: (1) Bacteria superkingdom, Phaeophyceae class, Fucales order, Sargassaceae family, andSargassumgenus; (2) Viridiplantae kingdom, Streptophyta phylum, Malpighiales class, and Rhizophoraceae family; (3) Holothuroidea class, Aspidochirotida order, andHolothuriagenus. Our analyses showed that TCMMs with closer taxonomic relationship were more likely to possess anticancer bioactivity. We found that the cluster pattern of marine organisms with reported AA tended to cluster with cold nature TCMMs. Moreover, TCMMs with salty-cold nature demonstrated properties for softening hard mass and removing stasis to treat cancers, and species within Metazoa or Viridiplantae kingdom of cold nature were more likely to contain AA properties. We propose that TCMMs from these marine groups may enable focused bioprospecting for discovery of novel anticancer drugs derived from marine bioresources.

scholarly journals Pattern of Distribution of Spatial Phenomena to Communities Prevailing in Mount Gara Using Function L(r)

2021 ◽  
Vol 923 (1) ◽  
pp. 012026
Author(s):  
Osama Mohammed Saleh Abdullah ◽  
Ammar Jassim Mohammed
Keyword(s):  
Life Cycle ◽  
Spatial Pattern ◽  
Distribution Pattern ◽  
Random Form ◽  
Broad Leaf ◽  
Pattern Distribution ◽  
Cluster Pattern

Abstract The spatial pattern of species is an important feature to understand why these species coexist and remain in position or not, and using the single Ripley function and the L(r) function, we analyzed the spatial pattern of types of broad-leaf tree and tree covers and the needles for mixed brawls in the forests of Mount Gara, using PASSAGE V.2, L(r) analysis of the species under study showed a variation in the pattern distribution of trees and gave the highest percentage of random form distribution pattern with a cluster pattern of 11.25%, Through the ratios and forms of distribution of the L(r) function of the various samples of the study, we find that these stands generally tend to be regular, indicating that these species remain at the end of the life cycle in the structure of a more stable stand.

Theoretical Issues of Cluster Pattern Interfaces

2009 ◽  
pp. 302-315 ◽  
Author(s):  
Reneta P. Barneva ◽  
Valentin E. Brimkov ◽  
Kamen K. Kanev
Keyword(s):  
Theoretical Issues ◽  
Cluster Pattern
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