scholarly journals Stridulations of Melolontha spp. larvae open up new possibilities for species-specific pest monitoring in soils

2019 ◽  
Author(s):  
Carolyn-Monika Görres ◽  
David Chesmore
Keyword(s):  
Data Analysis ◽  
Analysis Method ◽  
White Grub ◽  
Acoustic Data ◽  
Non Invasive ◽  
Pest Monitoring ◽  
Melolontha Melolontha ◽  
Data Analysis Method ◽  
Species Specific ◽  
First Time

AbstractRoot-feeding Scarabaeidae larvae can pose a serious threat to agricultural and forest ecosystems, but many details of larval ecology are still unknown. We developed an acoustic data analysis method for gaining new insights into larval ecology. In a laboratory study, third instar larvae of Melolontha melolontha (n=38) and M. hippocastani (n=15) kept in soil-filled containers were acoustically monitored for 5 min each, resulting in the first known stridulation recordings for each species. Subsequent continuous monitoring of three M. hippocastani larvae over several hours showed that a single larva could stridulate more than 70 times per hour, and stridulation rates increased drastically with increasing larval abundance. The new fractal dimension-based data analysis method automatically detected audio sections with stridulations and provided a semi-quantitative estimate of stridulation activity. It is the first data analysis method specifically targeting Scarabaeidae larvae stridulations in soils, enabling for the first time non-invasive species-specific pest monitoring.Key messageRoot-feeding scarab beetle larvae, known as white grubs, can be serious agricultural and forest pests.White grub infestation monitoring is difficult due to their cryptic lifestyle, but detailed monitoring data is essential for effective pest control.We present the first acoustic data analysis routine targeting stridulations, using Melolontha melolontha and M. hippocastani as model organisms.This new method provides for the first time the basis for the development of tools for non-invasive, species-specific, and rapid white grub monitoring in soils.

BANK SPÓŁDZIELCZY (COOPERATIVE BANK) AS A GUARANTOR OF THE STABILISATION OF THE LOCAL FINANCIAL SYSTEM1

2019 ◽  
pp. 173-179
Author(s):  
Andrzej Pawlik
Keyword(s):  
Data Analysis ◽  
Banking Sector ◽  
Statistical Data ◽  
Local Development ◽  
Banking System ◽  
Analysis Method ◽  
Statistical Data Analysis ◽  
Data Analysis Method ◽  
Strong Position ◽  
Cooperative Banks

Urgency of the research. One of the most essential sources of supporting regional and local development is the banking system. Target setting. The study presented describes cooperative banking, represented by Bank Polskiej Spółdzielczości S.A. and Bank Spółdzielczy w Kielcach. The use of the statistical data analysis method allowed to demonstrate the strong position of cooperative banking in the market, fostering regional and local development. Actual scientific researches and issues analysis. The foundations for the modern cooperative banking sector were laid by cooperative financial organisations functioning more than 150 years ago [Pawlik, 2017, s. 152]. Its history is connected with difficulties faced in the period of partitions, work at the foundations after the end of World War I and Poland’s regaining its national independence. Uninvestigated parts of general matters defining. At present, cooperative banking functions as a result of the adoption by the Sejm of the Republic of Poland on 7 December 2000 of the act on the functioning of cooperative banks, their associations and associating banks, which ensured new legal conditions for the functioning of the sector2. The research objective. The article formulates the hypothesis that nowadays activities of cooperative banks will contribute to regional and local development. The statement of basic materials. One of the most essential sources of supporting regional and local development is the banking system. This system can guarantee the stabilisation of the local financial system. By supporting the development of regional and local entrepreneurship through loans, investment activities of the banks and financial and investment consulting, it will determine the identity of the region concerned. Conclusions. The use of the statistical data analysis method allowed to demonstrate the strong position of cooperative banking in the market, fostering regional and local development.

PENGARUH KUALITAS LAYANAN DAN NILAI PELANGGAN TERHADAP KEPUASAN PELANGGAN

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Ismail Razak, SE., MS. ◽  
Silviana Fadilla Prasevie
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Customer Value ◽  
Sampling Method ◽  
Analysis Method ◽  
Simple Linear Regression ◽  
Central Java ◽  
Data Analysis Method

The purpose of this study was to analize the impacts of service quality and customer value on the satisfaction of customers. Questionnaires are used to collect data from Boks Café customer in Bumiayu, Kabupaten Brebes, Central java by using scale of Likert. In this study, accident sampling method was used and data analysis method was simple linear regression and multiple linear regression. The results of this study indicated that service quality and customer value positively and significant influenced the satisfaction of customers. The conclution of this study is that customer value was dominant than service quality in influencing the satisfaction of customers

PENGARUH KUALITAS LAYANAN DAN CITRA PERUSAHAAN TERHADAP KEPUASAN NASABAH

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Ismail Razak, SE., MS. ◽  
Elza Finnora
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Services Quality ◽  
Corporate Image ◽  
Primary Data ◽  
Analysis Method ◽  
Simple Linear Regression ◽  
Data Analysis Method

The aim of this study was to analize the influence of services quality and corporate image on the satisfaction of customers. Primary data was obtained from customers of Standard Chartered Bank through admission filling of questionnaire by using scale of Likert. In this study, accident sampling method was used and data analysis method was simple linear regression and multiple linear regression. The results of this study indicated that services quality and corporate image positively and significant influenced the satisfaction of customers. The conclution of this study is that services quality was dominant than corporate image in influencing the satisfaction of customers.

Research on Running Data Analysis Method Based on Attention-LSTM

2021 ◽  
Author(s):  
Yu Shao ◽  
Ren-Dong Li ◽  
Yong-Jian Luo ◽  
Min Zhu
Keyword(s):  
Data Analysis ◽  
Analysis Method ◽  
Data Analysis Method
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