Large-Scale Field Study of Impact-Based Yield Monitor Performance

2020 ◽  
Vol 36 (2) ◽  
pp. 197-204
Author(s):  
Robert P McNaull ◽  
M. J. Darr
Keyword(s):  
Grain Yield ◽  
Mass Flow ◽  
Precision Agriculture ◽  
Large Scale ◽  
Statistical Significance ◽  
Significant Shift ◽  
Evaluation Tool ◽  
Yield Monitor ◽  
Grain Moisture ◽  
The Impact

Abstract. The grain yield monitor is the most common evaluation tool for determining the productivity of grain cropping systems. Most evaluations of grain yield monitors have focused on lab scale tests of the sensor performance and its ability to be calibrated in field trials. This study focused on the performance of the impact-based grain yield monitor during a full corn harvest season with observations and conclusions drawn on the load-to-load variation, field level, and full season accuracy from data collected over five seasons and encompassing over 2,000 evaluation loads. The load variance expectation of the impact-based yield monitor was characterized and the yield difference requirements for statistical significance were developed to aid in yield monitor based evaluations of agronomic strip trials. Following manufacturer recommended calibrations, a single cropping season calibration in corn produced field mean errors of ±5% and a season mean error of 1%. Results showed statistically significant shift in the yield monitor accuracy for grain moisture content greater than 22.5% and a load accuracy dependency on the mean mass flow rate during the full harvest season calibration evaluation. Keywords: Combine harvesters, Mass flow, Precision agriculture, Real-time sensor, Yield map, Yield monitor.

Dietary Patterns: A New Therapeutic Approach for Depression?

2019 ◽  
Vol 20 (2) ◽  
pp. 123-129 ◽  
Author(s):  
Mariana Jesus ◽  
Tânia Silva ◽  
César Cagigal ◽  
Vera Martins ◽  
Carla Silva
Keyword(s):  
Depressive Symptoms ◽  
Dietary Patterns ◽  
Large Scale ◽  
Randomized Clinical Trials ◽  
Dietary Intervention ◽  
Common Mental Disorder ◽  
Controlled Trial ◽  
Statistical Significance ◽  
Inverse Association ◽  
The Impact

Introduction: The field of nutritional psychiatry is a fast-growing one. Although initially, it focused on the effects of vitamins and micronutrients in mental health, in the last decade, its focus also extended to the dietary patterns. The possibility of a dietary cost-effective intervention in the most common mental disorder, depression, cannot be overlooked due to its potential large-scale impact. Method: A classic review of the literature was conducted, and studies published between 2010 and 2018 focusing on the impact of dietary patterns in depression and depressive symptoms were included. Results: We found 10 studies that matched our criteria. Most studies showed an inverse association between healthy dietary patterns, rich in fruits, vegetables, lean meats, nuts and whole grains, and with low intake of processed and sugary foods, and depression and depressive symptoms throughout an array of age groups, although some authors reported statistical significance only in women. While most studies were of cross-sectional design, making it difficult to infer causality, a randomized controlled trial presented similar results. Discussion: he association between dietary patterns and depression is now well-established, although the exact etiological pathways are still unknown. Dietary intervention, with the implementation of healthier dietary patterns, closer to the traditional ones, can play an important role in the prevention and adjunctive therapy of depression and depressive symptoms. Conclusion: More large-scale randomized clinical trials need to be conducted, in order to confirm the association between high-quality dietary patterns and lower risk of depression and depressive symptoms.

Warm Cloud Evolution, Precipitation, and Their Weak Linkage in HadGEM3: New Process-Level Diagnostics using A-Train Observations

2021 ◽  
Author(s):  
Hanii Takahashi ◽  
Alejandro Bodas-Salcedo ◽  
Graeme Stephens
Keyword(s):  
Large Scale ◽  
Cloud Droplet ◽  
Formation Processes ◽  
Evaluation Tool ◽  
Liquid Water Path ◽  
Microphysics Scheme ◽  
Warm Rain ◽  
Weak Linkage ◽  
The Impact ◽  
Rain Formation

AbstractThe latest configuration of the Hadley Centre Global Environmental Model version 3 (HadGEM3) contains significant changes in the formulation of warm rain processes and aerosols. We evaluate the impacts of these changes in the simulation of warm rain formation processes using A-Train observations. We introduce a new model evaluation tool, quartile-based Contoured Frequency by Optical Depth Diagrams (CFODDs), in order to fill in some blind spots that conventional CFODDs have. Results indicate that HadGEM3 has weak linkage between the size of particle radius and warm rain formation processes, and switching to the new warm rain microphysics scheme causes more difference in warm rain formation processes than switching to the new aerosol scheme through reducing overly produced drizzle mode in HadGEM3. Finally, we run an experiment in which we perturb the second aerosol indirect effect (AIE) to study the rainfall-aerosol interaction in HadGEM3. Since the large changes in the cloud droplet number concentration (CDNC) appear in the AIE experiment, a large impact in warm rain diagnostics is expected. However, regions with large fractional changes in CDNC show a muted change in precipitation, arguably because large-scale constraints act to reduce the impact of such a big change in CDNC. The adjustment in cloud liquid water path to the AIE perturbation produces a large negative shortwave forcing in the midlatitudes.

scholarly journals The effect of communication training on mother-child communication applied by "from child to mother approach" in mobile kindergarten

2018 ◽  
Vol 9 (1) ◽  
pp. 37-60
Author(s):  
Osman Basit ◽  
Esra Ömeroğlu
Keyword(s):  
Training Program ◽  
Statistical Significance ◽  
Preschool Education ◽  
General Information ◽  
Communication Training ◽  
Control Group ◽  
Evaluation Tool ◽  
The Impact ◽  
Positive Effect ◽  
Experimental Group

This research was carried out with the aim of examining the impact of communication training based on ‘from the child to mother approach’ on the communication of the mothers with their children attending mobile preschools. The sample comprised 80 children attending mobile preschool and mothers of those children. Two of the five neighborhoods served by the mobile preschool were designated randomly as experiment groups and the remaining as control groups. There were 33 children and mothers in the experimental group and 47 in the control group. The data was collected by General Information Form and Parent-Child Communication Evaluation Tool. During the course of the research, the Communication Training Program prepared by the researcher and based on the Child to Mother Approach was applied to the experimental group for two days in a week during eight weeks. In order to examine the impact of Communication Training Program on mother-child communication, t-test was conducted for both the independent group and the dependent group. Statistical significance was set at .05. As a result of the analyses, it has been determined that the Communication Training Program has a positive effect on communication between mothers and children and this effect is permanent. In line with the results of the research, suggestions for preschool education teachers, parents and researchers are presented.

scholarly journals Sowing Systems as a Factor of Grain Yield in Sunflower Production

Poljoprivreda ◽  
2021 ◽  
Vol 27 (2) ◽  
pp. 84-90
Author(s):  
Anamarija Banaj ◽  
Đuro Banaj ◽  
Davor Petrović ◽  
Bojan Stipešević ◽  
Vjekoslav Tadić
Keyword(s):  
Grain Yield ◽  
Plant Density ◽  
Statistical Significance ◽  
Weak Acid ◽  
Row Spacing ◽  
Iso Standard ◽  
Grain Moisture ◽  
Silty Loam ◽  
Acid Reaction ◽  
Sowing Machine

The paper presents the results of a triennial study of the sowing system influence on the yied, grain weight per head, plant set per ha and of the grain moisture of a medium-early sunflower hybrid . Standard sowing was performed with the PSK OLT sowing machine at a row spacing amounting to 70 cm, while a twin row sowing was performed with the MaterMacc Twin Row-2 sowing machine at a row spacing of 22*48 cm. Both sowing machines were adjusted according to the ISO standard 7256/1 and 7256/2, with a high QFI index (PSK OLT: 96.32 %; MaterMacc Twin Row-2: 93.93 %). The research was conducted at the Gorjani Experimental Field on psudogley bearing the textured markings of a silty loam, with a weak acid reaction and a small amount of humus. An analysis of variance determined a statistical significance of the sowing system on the grain yield and the grain mass per sunflower head. Sowing in twin rows achieved the higher yields for all three research years : 19.59% in 2017, 19.11% in 2018, and 18.45% in 2019. Plant density was not statistically significantly affected by the sowing systems and vegetation year, but the grain moisture was statistically significantly different between the analyzed research years .

scholarly journals An Empirical Study of Machine Learning Algorithms for Stock Daily Trading Strategy

2019 ◽  
Vol 2019 ◽  
pp. 1-30 ◽  
Author(s):  
Dongdong Lv ◽  
Shuhan Yuan ◽  
Meizi Li ◽  
Yang Xiang
Keyword(s):  
Machine Learning ◽  
Transaction Cost ◽  
Stock Price ◽  
Large Scale ◽  
Statistical Significance ◽  
Significance Test ◽  
Machine Learning Algorithms ◽  
Experimental Results ◽  
Price Trends ◽  
The Impact

According to the forecast of stock price trends, investors trade stocks. In recent years, many researchers focus on adopting machine learning (ML) algorithms to predict stock price trends. However, their studies were carried out on small stock datasets with limited features, short backtesting period, and no consideration of transaction cost. And their experimental results lack statistical significance test. In this paper, on large-scale stock datasets, we synthetically evaluate various ML algorithms and observe the daily trading performance of stocks under transaction cost and no transaction cost. Particularly, we use two large datasets of 424 S&P 500 index component stocks (SPICS) and 185 CSI 300 index component stocks (CSICS) from 2010 to 2017 and compare six traditional ML algorithms and six advanced deep neural network (DNN) models on these two datasets, respectively. The experimental results demonstrate that traditional ML algorithms have a better performance in most of the directional evaluation indicators. Unexpectedly, the performance of some traditional ML algorithms is not much worse than that of the best DNN models without considering the transaction cost. Moreover, the trading performance of all ML algorithms is sensitive to the changes of transaction cost. Compared with the traditional ML algorithms, DNN models have better performance considering transaction cost. Meanwhile, the impact of transparent transaction cost and implicit transaction cost on trading performance are different. Our conclusions are significant to choose the best algorithm for stock trading in different markets.

scholarly journals Impact of the COVID-19 pandemic on mental health of nursing students in Japan: protocol for a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e055916
Author(s):  
Jun Kako ◽  
Yoshiyasu Ito ◽  
Kohei Kajiwara ◽  
Yasutaka Kimura ◽  
Takahiro Kakeda ◽  
...  
Keyword(s):  
Mental Health ◽  
Nursing Students ◽  
Large Scale ◽  
Statistical Significance ◽  
Self Report ◽  
Cross Sectional Survey ◽  
Online Questionnaire ◽  
Related Factors ◽  
Cross Sectional ◽  
The Impact

IntroductionThe COVID-19 pandemic is spreading globally with a high risk of mortality. It is also significantly affecting mental health. For nursing students, the impact of COVID-19 on mental health is predicted to be significant; however, sufficient data have not been obtained. Therefore, this study will aim to assess the mental health of nursing students and evaluate the related factors.Methods and analysisThis proposed study is a cross-sectional survey using a self-report questionnaire. An online questionnaire will be distributed among all nursing students of eight universities in Japan. The survey questionnaire will consist of questions related to demography, life satisfaction, fear of COVID-19, mental health and physical activities. The target sample size is 1300 nursing students. We will calculate descriptive statistics for each measurement item and perform univariate and logistic regression analyses to evaluate the potential risk factors for anxiety, depression and insomnia symptoms in nursing students. The strength of association will be assessed using the OR and its 95% CIs. Statistical significance will be set at a p<0.05.Ethics and disseminationThe protocol was approved by the Institutional Review Board (IRB) of the University of Hyogo on 22 March 2021 (ID: 2020F29). In addition, all of the participating facilities required ethical approval from their local IRBs. The findings will be disseminated through peer-reviewed publications and conference presentations. We believe that the proposed large-scale investigation of the mental health of nursing students during the COVID-19 pandemic and the relationship between mental health and fear of COVID-19 are novel and will be a strength of this study.

scholarly journals Global network centrality of university rankings

2017 ◽  
Vol 4 (10) ◽  
pp. 171172 ◽  
Author(s):  
Weisi Guo ◽  
Marco Del Vecchio ◽  
Ganna Pogrebna
Keyword(s):  
Large Scale ◽  
Statistical Significance ◽  
Academic Research ◽  
Transport Network ◽  
Air Transport ◽  
Global Network ◽  
International Exchange ◽  
University Ranking ◽  
Global Connectivity ◽  
The Impact

Universities and higher education institutions form an integral part of the national infrastructure and prestige. As academic research benefits increasingly from international exchange and cooperation, many universities have increased investment in improving and enabling their global connectivity. Yet, the relationship of university performance and its global physical connectedness has not been explored in detail. We conduct, to our knowledge, the first large-scale data-driven analysis into whether there is a correlation between university relative ranking performance and its global connectivity via the air transport network. The results show that local access to global hubs (as measured by air transport network betweenness ) strongly and positively correlates with the ranking growth (statistical significance in different models ranges between 5% and 1% level). We also found that the local airport’s aggregate flight paths ( degree ) and capacity ( weighted degree ) has no effect on university ranking, further showing that global connectivity distance is more important than the capacity of flight connections. We also examined the effect of local city economic development as a confounding variable and no effect was observed suggesting that access to global transportation hubs outweighs economic performance as a determinant of university ranking. The impact of this research is that we have determined the importance of the centrality of global connectivity and, hence, established initial evidence for further exploring potential connections between university ranking and regional investment policies on improving global connectivity.

Impact of COVID-19 on Nuclear Medicine in Germany, Austria and Switzerland: An International Survey in April 2020

2020 ◽  
Vol 59 (04) ◽  
pp. 294-299 ◽  
Author(s):  
Lutz S. Freudenberg ◽  
Ulf Dittmer ◽  
Ken Herrmann
Keyword(s):  
Nuclear Medicine ◽  
Health Systems ◽  
Personal Protective Equipment ◽  
Large Scale ◽  
Diagnostic Procedures ◽  
Protective Equipment ◽  
Current Crisis ◽  
Web Based ◽  
Public Versus Private ◽  
The Impact

Abstract Introduction Preparations of health systems to accommodate large number of severely ill COVID-19 patients in March/April 2020 has a significant impact on nuclear medicine departments. Materials and Methods A web-based questionnaire was designed to differentiate the impact of the pandemic on inpatient and outpatient nuclear medicine operations and on public versus private health systems, respectively. Questions were addressing the following issues: impact on nuclear medicine diagnostics and therapy, use of recommendations, personal protective equipment, and organizational adaptations. The survey was available for 6 days and closed on April 20, 2020. Results 113 complete responses were recorded. Nearly all participants (97 %) report a decline of nuclear medicine diagnostic procedures. The mean reduction in the last three weeks for PET/CT, scintigraphies of bone, myocardium, lung thyroid, sentinel lymph-node are –14.4 %, –47.2 %, –47.5 %, –40.7 %, –58.4 %, and –25.2 % respectively. Furthermore, 76 % of the participants report a reduction in therapies especially for benign thyroid disease (-41.8 %) and radiosynoviorthesis (–53.8 %) while tumor therapies remained mainly stable. 48 % of the participants report a shortage of personal protective equipment. Conclusions Nuclear medicine services are notably reduced 3 weeks after the SARS-CoV-2 pandemic reached Germany, Austria and Switzerland on a large scale. We must be aware that the current crisis will also have a significant economic impact on the healthcare system. As the survey cannot adapt to daily dynamic changes in priorities, it serves as a first snapshot requiring follow-up studies and comparisons with other countries and regions.

Productivity of corn hybrids of different fao groups depending on microfertilizers and growth stimulants under irrigation in the south of Ukraine

2016 ◽  
Vol 3 (1) ◽  
pp. 55-60
Author(s):  
Yu. Lavrynenko ◽  
R. Vozhegova ◽  
O. Hozh
Keyword(s):  
Grain Quality ◽  
Laboratory Method ◽  
The South ◽  
Corn Hybrids ◽  
Early Maturity ◽  
Effi Ciency ◽  
Grain Moisture ◽  
Grain Productivity ◽  
The Impact

The purpose of the research is to identify effi cient microfertilizers and growth stimulants considering biologi- cal features of new corn hybrids of different FAO groups under irrigation conditions in the South of Ukraine and trace their impact on grain productivity of the plants. The methods of the research are the fi eld method – to study the interaction of the research object with experimental factors of the natural environment, to register the yield and evaluate the biometrical indices; the laboratory method – to measure soil moisture, grain moisture content and grain quality indices; the statistical method – to evaluate the reliability of the obtained results; the calculation methods – for economic and energetic assessment of the growing techniques used. The results of the research. The paper defi nes the impact of microfertilizers and growth stimulants on the yield and grain quality of the corn hybrids of different maturity groups and on the economic effi ciency of growing them. The conclusions of the research. Under irrigation conditions of the Southern Steppe of Ukraine it is recommended that the following hybrids should be grown in dark-chestnut soils: early maturity DN Pyvykha, medium-early Skadovskyi, medium maturity Kakhovskyi and medium-late Arabat, using the growth stimulants – treating the seeds with Sezam-Nano and fertilizing with Grainactive at the stage of 7–8 leaves.

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