scholarly journals LINKS BETWEEN MOISTURE CONTENT OF BIOMASS OF (CREMASTRA APPENDICULATA) AND ELEVATIONS BY LONG-TIME INVESTIGATION AND QUALITATIVE ANALYSIS AND QUANTITATIVE STATISTICS OF "BIG DATA"

2021 ◽  
Vol 10 (1) ◽  
pp. 208-216
Author(s):  
Bing-Hua Liao
Keyword(s):  
Big Data ◽  
Moisture Content ◽  
Qualitative Analysis ◽  
Long Time ◽  
Cremastra Appendiculata ◽  
Quantitative Statistics

scholarly journals Links between Leafstalk Biomass of (Cremastra appendiculata) and Elevation by Big Data of Long-time Wild Investigation in Mei-County

2020 ◽  
Vol 10 (6-s) ◽  
pp. 55-60
Author(s):  
Bing-Hua Liao
Keyword(s):  
Big Data ◽  
Plant Species ◽  
Significant Positive Correlation ◽  
Plant Protection ◽  
Significant Negative Correlation ◽  
Ecological Adaptation ◽  
Practical Significance ◽  
Medicinal Species ◽  
Long Time ◽  
Cremastra Appendiculata

(Cremastra appendiculata) of treating lumbago and arthritis not only is a vital medicinal material plant, but also it is a widely distributed wide plant species. This plant species is widely distributed elevation from 500m to 3100m in forest landscapes and vegetation ecosystems in Mei County of China. However, understanding dynamics of biomass of leafstalk of this species is difficult along elevation. This research explained that the links between biomass of leafstalk of this species and elevation is the significant positive correlation from 500m to 1500m (P<0.01) as well as the links between biomass of leafstalk of this species and elevation are the significant negative correlation from 1500m to 3100m(P<0.01). This study provides six ecosystem types and a series of areas ecological adaptation for finding new medicinal species. Therefore, this study has vital theoretical and practical significance for medicinal plant protection along elevation and environments. Keywords: biomass of leafstalk; elevation; correlation; areas ecological adaptation; medicinal species.

scholarly journals Links between important values of (Cremastra appendiculata) and elevations by long-time investigation and qualitative analysis and quantitative statistics of "Big data"

2020 ◽  
Vol 1 (2) ◽  
pp. 044-050
Author(s):  
Bing-Hua Liao
Keyword(s):  
Plant Species ◽  
Plant Protection ◽  
Significant Negative Correlation ◽  
Practical Significance ◽  
Environmental Disturbance ◽  
Natural Landscape ◽  
Long Time ◽  
Cremastra Appendiculata ◽  
Landscape Types ◽  
Quantitative Statistics

(Cremastra appendiculata) of treating lumbago and arthritis not only is a vital medicinal material plant, but also it is a widely distributed wide plant species. This plant species is widely distributed elevation from 500m to 3100m in Mei County of China. However, understanding dynamics of Important Value of this species is very difficult along elevation. This research explained that links between Important Value of this species and elevation is the significant positive correlation from 500m to 1500m (P<0.01) as well as the links between Important Value of this species and elevation are the significant negative correlation from 1500m to 3100m (P<0.01). This study provides six natural landscape types and a series of areas ecological adaptation for finding new medical species along different elevation. Thus, this research has vital theoretical and practical significance for medicinal plant protection at spatial-temporal-environmental-disturbance scales (STEDS).

scholarly journals Links between Biomass of (Cremastra Appendiculata) Stems Cuticle and Elevation by Big Data of Long-Time Wild Investigation in Mei County

2020 ◽  
pp. 178-182
Author(s):  
Bing-Hua Liao
Keyword(s):  
Big Data ◽  
Medicinal Plant ◽  
Plant Species ◽  
Significant Positive Correlation ◽  
Plant Protection ◽  
Significant Negative Correlation ◽  
Practical Significance ◽  
Medicinal Species ◽  
Long Time ◽  
Cremastra Appendiculata

(Cremastra appendiculata) of treating lumbago and arthritis not only is a vital medicinal material plant, but also it is a widely distributed wide plant species. This plant species is widely distributed elevation from 500m to 3100m in forest landscapes and vegetation ecosystems in Mei County of China. However, understanding dynamics of biomass of stems cuticle of this species is difficult along elevation. This research explained that the links between biomass of stems cuticle of this species and elevation is the significant positive correlation from 500m to 1500m (P<0.01) as well as the links between biomass of stems cuticle of this species and elevation are the significant negative correlation from 1500m to 3100m(P<0.01). This study provides six ecosystem types and a series of areas ecological adaptation for finding new medicinal species. Therefore, this study has vital theoretical and practical significance for medicinal plant protection along elevation.

PHARMACOGNOSTICAL EVALUATION OF JUSTICIA GENDARUSSA BURM.

INDIAN DRUGS ◽  
2012 ◽  
Vol 49 (06) ◽  
pp. 18-22
Author(s):  
◽  
K. L. Krishna ◽  
K. Mruthunjaya
Keyword(s):  
Moisture Content ◽  
Qualitative Analysis ◽  
Traditional Medicine ◽  
Muscle Pain ◽  
Chinese Traditional Medicine ◽  
Foreign Matter ◽  
Respiratory Disorders ◽  
Evergreen Shrub

Justicia gendarussa (JG) is a shade-loving, quick-growing, evergreen shrub mostly found in moist areas,which grows along the beds of streams in the Himalayas. In Indian and Chinese traditional medicine,the leaf of the plant is recommended to treat ailments such as fever, hemiplegia, rheumatism, arthritis, headache, earache, muscle pain, respiratory disorders and digestive trouble. The physicochemical and pharmacognostical evaluation was carried out according to the official methods mentioned in The Ayurvedic Pharmacopoeia of India. The parameters such as foreign matter, ash value, moisture content were determined. Qualitative analysis of different phytochemicals present in the plant was done and powder microscopical characters were recorded. The microscopical feature of leaf of Justicia gendarussais reported. In the study, an attempt is made to fix the standards for Justicia gendarussa, which can be utilised in identification and authentification of purity of the plant.

scholarly journals Multi Objective Optimization Based Feature Selection Algorithms for Big Data Analytics: A Review

2021 ◽  
pp. 1-4
Author(s):  
Aakriti Shukla ◽  
◽  
Dr Damodar Prasad Tiwari ◽  
Keyword(s):  
Feature Selection ◽  
Big Data ◽  
Data Science ◽  
Big Data Analytics ◽  
Data Sets ◽  
Big Data Applications ◽  
High Workload ◽  
Long Time ◽  
Analytical Result ◽  
Result Analysis

Dimension reduction or feature selection is thought to be the backbone of big data applications in order to improve performance. Many scholars have shifted their attention in recent years to data science and analysis for real-time applications using big data integration. It takes a long time for humans to interact with big data. As a result, while handling high workload in a distributed system, it is necessary to make feature selection elastic and scalable. In this study, a survey of alternative optimizing techniques for feature selection are presented, as well as an analytical result analysis of their limits. This study contributes to the development of a method for improving the efficiency of feature selection in big complicated data sets.

scholarly journals POLA PERUBAHAN FONEM VOKAL DAN KONSONAN KATA SERAPAN DARI BAHASA JEPANG KE DALAM BAHASA INDONESIA

Prosodi ◽  
2021 ◽  
Vol 15 (2) ◽  
pp. 166-177
Author(s):  
Mellati Riandi Putri ◽  
Tb. Ace Fachrullah ◽  
Susi Machdalena
Keyword(s):  
Big Data ◽  
Qualitative Analysis ◽  
Analysis Method ◽  
Data Source ◽  
Bahasa Indonesia ◽  
News Online ◽  
Vowel Change ◽  
Descriptive Qualitative

This research is purposed to determine the pattern of phoneme which changed in Indonesian loanwords which derived from Japanese. This research based on descriptive qualitative analysis method. The data source of this research is article from Kompas news online website which uploaded from January until October 2020. There are 67 data which classified to the pattern of phoneme that changed based on theory of vowels and consonant from Marsono and for Japanese vowels and consonant using theory from Sudjianto and Dahidi. There are 3 patterns of phoneme that changed in Indonesian loanwords which derived from Japanese found from this research: the pattern from one vowel change, the pattern from one vowel and one consonant change, and the pattern from one consonant change. The further research through big data such as corpus based research might be needed to find another variations of this pattern.

scholarly journals Optimalisasi Digitalisasi Arsip pada Kantor Mahkamah Syar’iyah

2021 ◽  
Vol 7 (1) ◽  
pp. 49-67
Author(s):  
Juni Ahyar ◽  
Zamzami Zainuddin ◽  
Indra Maulana ◽  
Rudi Kurniawan
Keyword(s):  
Data Collection ◽  
Qualitative Analysis ◽  
Digital Archive ◽  
Digital Archives ◽  
Power Outages ◽  
Digital Archiving ◽  
Long Time ◽  
The Creation

This study aims to determine the management of digital archives at the Syar'iyah Court Office of East Aceh Regency, Indonesia, as well as finding obstacles encountered in their implementation. This research is a qualitative analysis where the subjects of this research were officers who managed digital archives at the Syar'iyah Court office. The data collection techniques employed were interviews, observations, and documentation. The results of this study indicate that the management of digital archives at the Syar'iyah Court Office has not been implemented optimally due to three conditions, namely: 1) The creation of digital archives is hampered due to frequent power outages in East Aceh and Sarana districts which are less supportive, and lack of resources. employees who understand digital archiving issues; 2) The process of borrowing archives carried out at the Syar'iyah Court Office has not been going well because it has not used archive lending procedures such as requesting archives, searching, retrieval of archives, recording, controlling, and storing again, to prevent loss of records; 3) Archive rediscovery still takes quite a long time, ranging from 20 to 30 minutes. The management of digital archives at the Office of the Syar'iyah Idi Court of East Aceh Regency should be improved by proposing additional archiving facilities, namely the latest model scan tool and additional employees who handle digital archive issues.

Machine Learning for Business Analytics

2021 ◽  
pp. 232-256
Author(s):  
Kağan Okatan
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Social Media ◽  
Big Data ◽  
Machine Learning Algorithms ◽  
Decision Makers ◽  
Business Analytics ◽  
Business Intelligence Systems ◽  
Long Time ◽  
Rules Of The Game

All these types of analytics have been answering business questions for a long time about the principal methods of investigating data warehouses. Especially data mining and business intelligence systems support decision makers to reach the information they want. Many existing systems are trying to keep up with a phenomenon that has changed the rules of the game in recent years. This is undoubtedly the undeniable attraction of 'big data'. In particular, the issue of evaluating the big data generated especially by social media is among the most up-to-date issues of business analytics, and this issue demonstrates the importance of integrating machine learning into business analytics. This section introduces the prominent machine learning algorithms that are increasingly used for business analytics and emphasizes their application areas.

scholarly journals Qualitative and Quantitative Analysis of Different Rhodiola rosea Rhizome Extracts by UHPLC-DAD-ESI-MSn

2019 ◽  
Vol 87 (2) ◽  
pp. 8 ◽  
Author(s):  
Fabian Alperth ◽  
Ivana Turek ◽  
Sandra Weiss ◽  
Dietmar Vogt ◽  
Franz Bucar
Keyword(s):  
Qualitative Analysis ◽  
Folk Medicine ◽  
Epigallocatechin Gallate ◽  
Extraction Methods ◽  
Rhodiola Rosea ◽  
Cinnamyl Alcohol ◽  
Long Time ◽  
Marker Compounds ◽  
Hydrolysis Of ◽  
High Ethanol

Rhodiola rosea has been used in folk medicine as ethanolic macerates for a long time. This study aims to provide a quantitative and qualitative analysis and comparison of different ethanolic Rhodiola rosea rhizome macerates (35%, 70%, and 96% v/v) and accelerated solvent extraction (ASE) extracts prepared with 85% methanol, in order to shed light on the effectivity of different extraction methods. Extract samples were analyzed by UHPLC-DAD-ESI-MSn on a ZORBAX SB-C18 column (100 × 2.1 mm, 1.8 μm) with a mobile phase consisting of water + 0.1% formic acid and acetonitrile. Qualitative analysis lead to the tentative identification of 18 compounds: Two cyanogenic glycosides (rhodiocyanoside A, lotaustralin), three phenylethanoids (salidroside, viridoside, 2-phenylethyl-vicianoside), two procyanidin and catechin derivatives (epigallocatechin-epigallocatechin gallate, epigallocatechin-3-O-gallate), five phenylpropanoids (cinnamyl alcohol, rosarin, rosavin, rosin, cinnamyl-(6’-O-β-d-xylopyranosyl)-O-β-glucopyranoside), two monoterpene alcohols (rhodioloside E, rosiridin) and four flavonols (rhodionidin, rhodiosin, rhodionin, kaempferol). Quantity was determined for salidroside, cinnamyl alcohol and its three major glycosides (rosarin, rosavin, rosin), as well as three flavonols (rhodionidin, rhodiosin, rhodionin). Methanolic ASE proved to be the superior extraction method for different substance groups. For macerates, high ethanol content increased yield and lowered hydrolysis of glycosides during extraction, but ethanolic macerates still showed low reproducibility and high fluctuations in quantity of marker compounds salidroside and rosavins, as well as flavonols. Rhodiola rosea rhizomes of wild origins seemed to underly great variability in chemical composition dependent on grow site.

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