scholarly journals Farm size and volume of external transportation services at selected farm businesses

2018 ◽  
Vol 10 ◽  
pp. 02010
Author(s):  
Stanisław Kokoszka ◽  
Zbigniew Daniel
Keyword(s):  
Data Analysis ◽  
Correlation Analysis ◽  
Agricultural Area ◽  
Farm Size ◽  
Present Survey ◽  
Transport Characteristic ◽  
Transportation Services ◽  
Freight Volume ◽  
Farm Vehicles ◽  
The Impact

The present survey and data analysis confirmed the impact of the farm size (based on the Utilized Agricultural Area) on the volume of external transportation services despite the overall improvement of owned means of transport. The main transport characteristic, i.e. shipment distance increases with the farm size. Hence, the largest farm businesses characterized by higher commercial outputs use external transportation services to a greater extent although they own better quality and higher number of farm vehicles. At the average freight volume transported by external services of 4.37 tons per hectare of the Utilized Agricultural Area, the share of contracted transportation services in the total freight transport increases from 13.95 % in the smallest farms to 28.42 % in the largest farm businesses. This analysis was confirmed by the correlation analysis between the farm size and volume of external transportation services.

scholarly journals Estimation of technical efficiency of Czech farms operating in less favoured areas

2019 ◽  
Vol 65 (No. 10) ◽  
pp. 445-453
Author(s):  
Tamara Rudinskaya ◽  
Tomas Hlavsa ◽  
Martin Hruska
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Positive Impact ◽  
Stochastic Frontier ◽  
Agricultural Area ◽  
Farm Size ◽  
Identification System ◽  
Accounting Data ◽  
Frontier Analysis ◽  
The Impact

This paper deals with the technical efficiency analysis of farms in the Czech Republic. The empirical analysis provides an evaluation of technical efficiency with regard to the farm size, farm specialisation, and farm location. Accounting data of Czech farms from the Albertina database for the years 2011–2015 were used for the analysis. The data were classified by the utilised agricultural area and location of the farm expressed as a less favoured area type from the Land Parcel Identification System (LPIS) database. Research was conducted using the translogarithmic production function and Stochastic Frontier Analysis. The results indicate positive impact of farm size, expressed by utilised agricultural area, on technical efficiency. The analysis of the impact of farm specialisation on technical efficiency verified that farms specialised on animal production are more efficient. The lowest technical efficiency is shown by farms situated in mountainous Less Favoured Areas (LFAs), the highest technical efficiency by farms located in non-LFA regions.

scholarly journals PENGARUH MODEL PEMBELAJARAN TANDUR TERHADAP AKTIVITAS DAN HASIL BELAJAR PADA MATERI VIRUS SISWA KELAS X SMA NEGERI 2 SKANTO KABUPATEN KEEROM

2018 ◽  
Vol 6 (1) ◽  
pp. 48-57
Author(s):  
Siti Daryati
Keyword(s):  
Data Analysis ◽  
Correlation Analysis ◽  
Regression Model ◽  
Learning Outcomes ◽  
Learning Model ◽  
Learning Activities ◽  
Average Gain ◽  
The Impact

Abstrack The data analysis using SPSS version 21. Results of regression model of learningTANDUR (X) on learning activities (Y1) with the equation Y1 = 12,977 + 1,662X, the effect of 77.2% and a learning model TANDUR (X) on learning outcomes (Y2 ) with the equation Y2 = -13,399 + 2,283X, the impact of 90,6%. The results of correlation analysis TANDUR learning model (X) on learning activities (Y1) of 0,850 and a learning model TANDUR (X) on learning outcomes (Y2) amounted to 0,952, this means learning model TANDUR effect on activity and learning outcomes.Research results to direct that: (1) there are significant learning model TANDUR on learning activities amounted to 77,2%, (2) there are significant learning model TANDUR the learning outcomes of 90,6%, and (3) there is an increase learning outcomes with value n- average gain of 0,63 learning outcomes with the medium category.Keywords: Learning Model TANDUR, Activities, Learning Outcomes, Virus.

INDONESIA LANGUAGE INTERFERENCE FORM IN BASIC PPL LEARNING THAILAND UNHASY COLLEGE SYUDENTS

2020 ◽  
Vol 8 (2) ◽  
pp. 38
Author(s):  
Siti Mariana Ulfa
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Data Collection ◽  
Teaching Practice ◽  
Data Presentation ◽  
Analysis Techniques ◽  
Thai Students ◽  
The Impact ◽  
Collection Methods ◽  
Recording Techniques

AbstractHumans on earth need social interaction with others. Humans can use more than one language in communication. Thus, the impact that arises when the use of one or more languages is the contact between languages. One obvious form of contact between languages is interference. Interference can occur at all levels of life. As in this study, namely Indonesian Language Interference in Learning PPL Basic Thailand Unhasy Students. This study contains the form of interference that occurs in Thai students who are conducting teaching practices in the classroom. This type of research is descriptive qualitative research that seeks to describe any interference that occurs in the speech of Thai students when teaching practice. Data collection methods in this study are (1) observation techniques, (2) audio-visual recording techniques using CCTV and (3) recording techniques, by recording all data that has been obtained. Whereas the data wetness uses, (1) data triangulation, (2) improvement in perseverance and (3) peer review through discussion. Data analysis techniques in this study are (1) data collection, (2) data reduction, (3) data presentation and (4) conclusions. It can be seen that the interference that occurs includes (1) interference in phonological systems, (2) interference in morphological systems and (3) interference in syntactic systems. 

Household and Population-Level Behavioural Changes Due to COVID-19 Pandemic: A Smart Thermostat Based Comparative Data Analysis

2021 ◽  
Vol 10 (1) ◽  
pp. 1-6
Author(s):  
Kirti Sundar Sahu ◽  
Arlene Oetomo ◽  
Niloofar Jalali ◽  
Plinio P. Morita
Keyword(s):  
Data Analysis ◽  
Population Level ◽  
World Health ◽  
Motion Sensors ◽  
Household Level ◽  
Work From Home ◽  
Significant Difference ◽  
Health Organization ◽  
Smart Thermostat ◽  
The Impact

The World Health Organization declared the coronavirus outbreak as a pandemic on March 11, 2020. To inhibit the spread of COVID-19, governments around the globe, including Canada, have implemented physical distancing and lockdown measures, including a work-from-home policy. Canada in 2020 has developed a 24-Hour Movement Guideline for all ages laying guidance on the ideal amount of physical activity, sedentary behaviour, and sleep (PASS) for an individual in a day. The purpose of this study was to investigate changes on the household and population-level in lifestyle behaviours (PASS) and time spent indoors at the household level, following the implementation of physical distancing protocols and stay-at-home guidelines. For this study, we used 2019 and 2020 data from ecobee, a Canadian smart Wi-Fi thermostat company, through the Donate Your Data (DYD) program. Using motion sensors data, we quantified the amount of sleep by using the absence of movement, and similarly, increased sensor activation to show a longer duration of household occupancy. The key findings of this study were; during the COVID-19 pandemic, overall household-level activity increased significantly compared to pre-pandemic times, there was no significant difference between household-level behaviours between weekdays and weekends during the pandemic, average sleep duration has not changed, but the pattern of sleep behaviour significantly changed, specifically, bedtime and wake up time delayed, indoor time spent has been increased and outdoor time significantly reduced. Our data analysis shows the feasibility of using big data to monitor the impact of the COVID-19 pandemic on the household and population-level behaviours and patterns of change.

scholarly journals Evaluation of an Educational Outreach Campaign (IMPACT) on Pain Management Delivered to General Practices in Walsall

2021 ◽  
Vol 29 (Supplement_1) ◽  
pp. i48-i49
Author(s):  
S Visram ◽  
J Saini ◽  
R Mandvia
Keyword(s):  
Data Analysis ◽  
Pain Management ◽  
Cancer Pain ◽  
Educational Intervention ◽  
Opioid Analgesics ◽  
Educational Outreach ◽  
Opioid Prescribing ◽  
Prescribing Trends ◽  
The Impact

Abstract Introduction Opioid class drugs are a commonly prescribed form of analgesic widely used in the treatment of acute, cancer and chronic non-cancer pain. Up to 90% of individuals presenting to pain centres receive opioids, with doctors in the UK prescribing more and stronger opioids (1). Concern is increasing that patients with chronic pain are inappropriately being moved up the WHO ‘analgesic ladder’, originally developed for cancer pain, without considering alternatives to medications, (2). UK guidelines on chronic non-cancer pain management recommend weak opioids as a second-line treatment, when the first-line non-steroidal anti-inflammatory drugs / paracetamol) ineffective, and for short-term use only. A UK educational outreach programme by the name IMPACT (Improving Medicines and Polypharmacy Appropriateness Clinical Tool) was conducted on pain management. This research evaluated the IMPACT campaign, analysing the educational impact on the prescribing of morphine, tramadol and other high-cost opioids, in the Walsall CCG. Methods Standardised training material was delivered to 50 practices between December 2018 and June 2019 by IMPACT pharmacists. The training included a presentation on pain control, including dissemination of local and national guidelines, management of neuropathic, low back pain and sciatica as well as advice for prescribers on prescribing opioids in long-term pain, with the evidence-base. Prescribing trends in primary care were also covered in the training, and clinicians were provided with resources to use in their practice. Data analysis included reviewing prescribing data and evaluating the educational intervention using feedback from participants gathered via anonymous questionnaires administered at the end of the training. Prescribing data analysis was conducted by Keele University’s Medicines Management team via the ePACT 2 system covering October 2018 to September 2019 (two months before and three months after the intervention) were presented onto graphs to form comparisons in prescribing trends of the Midland CCG compared to England. Results Questionnaires completed at the end of sessions showed high levels of satisfaction, with feedback indicating that participants found the session well presented, successful at highlighting key messages, and effective in using evidence-based practice. 88% of participants agreed the IMPACT campaign increased their understanding of the management and assessment of pain, and prescribing of opioids and other resources available to prescribers. The majority (85%) wished to see this form of education being repeated regularly in the future for other therapeutic areas. Analysis of the prescribing data demonstrated that the total volume of opioid analgesics decreased by 1.7% post-intervention in the Midlands CCG in response to the pharmacist-led educational intervention. As supported by literature, the use of educational strategies, including material dissemination and reminders as well as group educational outreach was effective in engaging clinicians, as demonstrated by the reduction in opioid prescribing and high GP satisfaction in this campaign. Conclusion The IMPACT campaign was effective at disseminating pain-specific guidelines for opioid prescribing to clinicians, leading to a decrease in overall prescribing of opioid analgesics. Educational outreach as an approach is practical and a valuable means to improve prescribing by continuing medical education. References 1. Els, C., Jackson, T., Kunyk, D., Lappi, V., Sonnenberg, B., Hagtvedt, R., Sharma, S., Kolahdooz, F. and Straube, S. (2017). Adverse events associated with medium- and long-term use of opioids for chronic non-cancer pain: an overview of Cochrane Reviews. Cochrane Database of Systematic Reviews. This provided the statistic of percentage receiving opioids that present to pain centres. 2. Heit, H. (2010). Tackling the Difficult Problem of Prescription Opioid Misuse. Annals of Internal Medicine, 152(11), p.747. Issues with prescriptions and inappropriate moving up the WHO ladder.

scholarly journals Impact of COVID-19 on the Customer End of Retail Supply Chains: A Big Data Analysis of Consumer Satisfaction

2021 ◽  
Vol 13 (3) ◽  
pp. 1464
Author(s):  
Patrick Brandtner ◽  
Farzaneh Darbanian ◽  
Taha Falatouri ◽  
Chibuzor Udokwu
Keyword(s):  
Data Analysis ◽  
Supply Chains ◽  
Consumer Satisfaction ◽  
Future Research ◽  
Grocery Shopping ◽  
Product Availability ◽  
Analysis Technique ◽  
Retail Chains ◽  
Retail Supply Chains ◽  
The Impact

The COVID-19 pandemic has been one of the biggest disruptive events of recent decades and has had a global effect on society and the economy. The political regulations resulting from COVID-19 also led to significant changes in physical grocery shopping. However, the specific impact of COVID-19 on consumer satisfaction at the customer end of retail supply chains, i.e., the point-of-sale (PoS), has not yet been addressed. By gathering and analyzing consumer satisfaction data (ratings) and sentiments (evaluation comments) available on the open web, the current study evaluates the impact of COVID-19 on consumer satisfaction at the PoS. Focusing on the five biggest retail chains in Austria, the results show that there was a general and significant decline in consumer satisfaction due to the pandemic. The results also show a high impact of political regulations on consumer satisfaction. Furthermore, the text-mining based analysis of evaluation comments indicate that store layout and facilities, as well as product availability and waiting time had a great impact on consumer satisfaction. In total, over 533,000 consumer satisfaction ratings and over 153,000 textual comments have been analyzed, providing the basis for a comprehensive and sound discussion of the impact of COVID-19 on consumer satisfaction and perceptions. Future research could focus on applying the used data analysis technique and the adapted consumer sentiment dimensions in different settings, such as countries other than Austria or smaller retail chains.

scholarly journals Flexibility quantification in households: a swiss case study

2020 ◽  
Vol 3 (S1) ◽  
Author(s):  
Yousra Sidqi ◽  
Pierre Ferrez ◽  
Dominique Gabioud ◽  
Pierre Roduit
Keyword(s):  
Correlation Analysis ◽  
Rebound Effect ◽  
The Impact

Abstract In this paper, a thorough analysis of quantification of the heating appliances’ flexibility provided by 200 households located in the Sion area (Switzerland) is presented. An extended evaluation of the available flexibility throughout the year as well as a correlation analysis between the outside temperature and flexibility is performed. The influence of pooling households in the prediction process is assessed. The impact of cutting the power to heating appliances and the incurred rebound effect are also described.

scholarly journals Reproducible and accessible analysis of transposon insertion sequencing in Galaxy for qualitative essentiality analyses

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Delphine Larivière ◽  
Laura Wickham ◽  
Kenneth Keiler ◽  
Anton Nekrutenko ◽  
Keyword(s):  
Data Analysis ◽  
Promoter Sequence ◽  
Entire Genome ◽  
Link Type ◽  
Transposon Insertion ◽  
Control Procedures ◽  
Reproducible Analysis ◽  
Using Data ◽  
Transposon Insertion Sequencing ◽  
The Impact

Abstract Background Significant progress has been made in advancing and standardizing tools for human genomic and biomedical research. Yet, the field of next-generation sequencing (NGS) analysis for microorganisms (including multiple pathogens) remains fragmented, lacks accessible and reusable tools, is hindered by local computational resource limitations, and does not offer widely accepted standards. One such “problem areas” is the analysis of Transposon Insertion Sequencing (TIS) data. TIS allows probing of almost the entire genome of a microorganism by introducing random insertions of transposon-derived constructs. The impact of the insertions on the survival and growth under specific conditions provides precise information about genes affecting specific phenotypic characteristics. A wide array of tools has been developed to analyze TIS data. Among the variety of options available, it is often difficult to identify which one can provide a reliable and reproducible analysis. Results Here we sought to understand the challenges and propose reliable practices for the analysis of TIS experiments. Using data from two recent TIS studies, we have developed a series of workflows that include multiple tools for data de-multiplexing, promoter sequence identification, transposon flank alignment, and read count repartition across the genome. Particular attention was paid to quality control procedures, such as determining the optimal tool parameters for the analysis and removal of contamination. Conclusions Our work provides an assessment of the currently available tools for TIS data analysis. It offers ready to use workflows that can be invoked by anyone in the world using our public Galaxy platform (https://usegalaxy.org). To lower the entry barriers, we have also developed interactive tutorials explaining details of TIS data analysis procedures at https://bit.ly/gxy-tis.

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