44 research outputs found
Short communication: Guttation of oat and wheat and the results of its comparison with the yield
Get PDFSaabunud / Received 14.10.2021 ; Aktsepteeritud / Accepted 05.04.2022 ; Avaldatud veebis / Published online 05.04.2022 ; Vastutav autor / Corresponding author: Edvin Nugis; [email protected] present paper aims to give an overview of results
collected in the Estonian Crop Research Institute related to the
comparison between guttation and yield in grain crop cereals. The
objects of research were oat variety 'Eugen' and wheat 'Manu', which
went through the stages of germinating their seeds (in vitro), set them
by sprouts down into the soil, and the emergence of sprouts under
conditions of a hydrothermostat. Since transpiration in a hydrother-
mostat at an air temperature of 23 °C, and an extremely high value of air
relative humidity was limited, therefore, due to this, the plant sprouts
have begun to exude guttation fluid. As result, we have found that the
amount of isolated gutted fluid correlates significantly with the grain
yields of field trials indicators. The comparison between relative
guttation and relative yield was described by a straightforward
relationship. The entire experiment took about one week, and the first
results of droplet prints on filter paper can be obtained after 60 hours.
This was the novelty of our approach which provides the prerequisites
for both increasing the reliability of conclusions regarding the yield
obtained and with forecast
Identifikasi Kelainan Jantung Menggunakan Pola Citra Digital Electrocardiogram
Get PDFElectrocardiograph merupakan salah satu alat yang digunakan dalam pemeriksaan jantung. Electrocardiograph menghasilkan Informasi Electrocardiogram yang tidak dapat langsung dibaca oleh orang awam. Electrocardiogram menghasilkan citra grafik dan pernyataan tentang normal atau abnormalnya kondisi jantung. Electrocardiogram merekam aktivitas kelistrikan jantung dalam waktu tertentu. Tahapan Image Processing untuk memperbaiki kualitas citra dan menangkap pola grafik Electrocardiogram yang akan dianalisis antara lain Image Smoothing dengan metode Gauss, Image Segmentation, Image Normalisation dan Image Thinning. Pola line grafik yang dihasilkan akan dianalisa untuk menentukan titik - titik penting tertentu pada line grafik yang telah ditemukan. Titik tersebut menjadi pembanding dalam sistem rule based knowledge dalam menemukan kelainan jantung tersebut. Dalam penelitian ini hasil pengujian yang dapat dikenali adalah 78.26% dari data pengujian yang ada
Artificiell Intelligens i B2B-förhandlingar. : Tillitens betydelse för upplevelser och användningen av AI i strategisk beslutsfattning.
No full textTitel: Artificial Intelligence in B2B Negotiations: The Role of Trust in Perceptions and the Use of AI in Strategic Decision-Making. Level: Student Thesis, final assignment for Bachelor Degree in Business Administration Author: Annie Sehlin och Edvin Nieminen Supervisor: Martin Ahlenius Date: 2025 - January Aim: The purpose of this study is to examine individuals' attitudes, experiences, and trust in artificial intelligence in the context of strategic decision-making in B2B negotiations. To address this purpose, three research questions have been formulated: What role does trust in AI play in the use of the technology and individuals' experiences of its benefits and drawbacks? What factors are central to the acceptance of AI in companies? What impact do gender differences have on future outlook and expectations regarding AI? Method: In order to achieve the purpose of the study, a deductive research approach was applied with a survey as the method. The population consisted of individuals within Swedish companies that use AI in strategic decision-making. Data collection was carried out using convenience, selective, and snowball sampling. A descriptive, correlation analysis and an independent sample t-test were then performed on the collected data to identify relationships. Results and conclusions: This research shows that the acceptance and use of AI are related to the trust that exists. Women report higher usage and greater trust in AI, while also experiencing fewer drawbacks compared to men. Other crucial factors include the companies' technical competence and resources, which influence the implementation of AI. To achieve successful implementation, companies should address perceived disadvantages and strengthen the trust in AI. Contribution of the thesis: The study provides insight into how factors such as trust, resources, and cognitive limitations influence companies' application of AI. Furthermore, it highlights how businesses, by investing in the right technology and building trust in AI, have the opportunity to achieve a successful implementation of AI. Suggestions for future research: For future research, the focus should be on AI's impact on various parts of the negotiation process and how companies can optimize the selection of AI tools. It would also be valuable to analyze industry-specific differences and cultural aspects to gain awareness of AI's role in international business contexts. Key words: Negotiation, B2B, negotiation process, AI and strategic decision-making
Artificiell Intelligens i B2B-förhandlingar. : Tillitens betydelse för upplevelser och användningen av AI i strategisk beslutsfattning.
No full textTitel: Artificial Intelligence in B2B Negotiations: The Role of Trust in Perceptions and the Use of AI in Strategic Decision-Making. Level: Student Thesis, final assignment for Bachelor Degree in Business Administration Author: Annie Sehlin och Edvin Nieminen Supervisor: Martin Ahlenius Date: 2025 - January Aim: The purpose of this study is to examine individuals' attitudes, experiences, and trust in artificial intelligence in the context of strategic decision-making in B2B negotiations. To address this purpose, three research questions have been formulated: What role does trust in AI play in the use of the technology and individuals' experiences of its benefits and drawbacks? What factors are central to the acceptance of AI in companies? What impact do gender differences have on future outlook and expectations regarding AI? Method: In order to achieve the purpose of the study, a deductive research approach was applied with a survey as the method. The population consisted of individuals within Swedish companies that use AI in strategic decision-making. Data collection was carried out using convenience, selective, and snowball sampling. A descriptive, correlation analysis and an independent sample t-test were then performed on the collected data to identify relationships. Results and conclusions: This research shows that the acceptance and use of AI are related to the trust that exists. Women report higher usage and greater trust in AI, while also experiencing fewer drawbacks compared to men. Other crucial factors include the companies' technical competence and resources, which influence the implementation of AI. To achieve successful implementation, companies should address perceived disadvantages and strengthen the trust in AI. Contribution of the thesis: The study provides insight into how factors such as trust, resources, and cognitive limitations influence companies' application of AI. Furthermore, it highlights how businesses, by investing in the right technology and building trust in AI, have the opportunity to achieve a successful implementation of AI. Suggestions for future research: For future research, the focus should be on AI's impact on various parts of the negotiation process and how companies can optimize the selection of AI tools. It would also be valuable to analyze industry-specific differences and cultural aspects to gain awareness of AI's role in international business contexts. Key words: Negotiation, B2B, negotiation process, AI and strategic decision-making
Express-diagnostics method for assessment of soil compaction for different cultivation methods
Get PDFSaabunud / Received 01.12.2019 ; Aktsepteeritud / Accepted 08.05.2020 ; Avaldatud veebis / Published online 11.05.2020 ; Vastutav autor / Corresponding author: Edvin Nugis e-mail: [email protected] compaction remains a concern because of the heavy
tractors used in intensive agriculture. When axle loads of vehicles
increase, soil compaction is affected in deeper soil layers. An efficient tool
is needed to assess the impact of machines on soil. Therefore, an expressdiagnostics method was developed and implemented under Estonian
agricultural conditions. Since 1976, an investigation has been carried out
on how wheeled or tracked vehicles (WTV) influence soil under
agricultural conditions in Estonia. The main goal of the investigation was
to develop a mathematical model and corresponding computer simulation
system. Uncompacted and compacted soil was modelled using a
vegetation model of "guttated vegetation miniatures". The system allows
soil vulnerability to compaction to be assessed by the criterion (qabc) agroempirical bearing capacity (ABC). Both field and laboratory data were
used in the development of the system. We have found that at the deepest
layer the bulk density was higher for tilled soil compared to no-tilled soil.
Dry soil bulk density in no-tilled soil after 2 years in the deepest layer was
0.11 Mg m3 –1
less than tilled soil, and for no-tilled soil after 3 years in the
deepest layer it was 0.12 Mg m3 –1
less compared to the tilled field soil.
The amount of agronomically preferable aggregates (2–4.75mm) was
major in tilled soil compared to no-tilled soil. It means that the preferred
(in agronomical sense) soil particles Kstr in conventionally tilled
(ploughing – K2; K3) fields were significantly better compared to no-tilled
(O2; O3) fields in the trial plots. These results emphasize the benefits of
multifunctional modelling systems (computer simulation and simulation
by vegetation miniatures) and the need to improve assessment of
methodology for receiving adequate and probable results, and finally for
yield prediction
Optimization of options for differential application of nitrogen fertilizers in the precision farming system
Get PDFSaabunud / Received 26.01.2020 ; Aktsepteeritud / Accepted 12.05.2020 ; Avaldatud veebis / Published online 12.05.2020 ; Vastutav autor / Corresponding author: Edvin Nugis e-mail: [email protected] paper aims to present the use of various treatments for
the differential application of nitrogen in the precision farming system. To
assess the state of the vegetation cover, both ground-based observations
and associated remote sensing methods were used. Assessment of the state
of plants (Menkovsky of AFI, 2009–2011) was carried out according to
the phases of their growth and development using an N-tester in the field,
as well as analysis of plant samples in a specialized laboratory. Remote
sensing was carried out at the time of the analysis of plant samples using
unmanned aerial vehicles equipped with cameras that allow shooting in
different areas of the spectrum. The test sites with predetermined doses of
nitrogen fertilizers for decrypt the obtained images were used. It is shown
that for differential application of nitrogen fertilizers in spring wheat crops
it is advisable to use the optical characteristics of the state of plants
performed using calibration test sites. We have found that the maximum
yield in the differentiated nitrogen applications treatment (TK-4) was
4510 kg per hectare (kg ha–1
). At the same time, the minimum in the TK1 treatment was 3780 kg ha–1
. On average, over the years of research
differentiated fertilizer application increased the collection of protein per
hectare by 15–17%. In the TK-4 treatment for three years, a grain was
obtained that corresponded to the first quality class (exceed 14%) in terms
of protein content. Our novel research has shown that for characterizing
the state of plants an assessment is given which was performed using
calibration test sites
U.S. federal reserve monetary policy during covid-19: valuation of quantitative easing impact on the u.s. economy.
No full textThe main objective of this research is to determine the impact of the Fed's quantitative easing on the US economy during the COVID-19 pandemic. The work consists of three main parts: analysis of literature, quantitative research and discussion of results, and conclusions and recommendations. In the part of literature, the author examines quantitative easing as an "innovative" tool of unconventional monetary policy. Based on research conducted by various authors, the author examines the relationship between quantitative easing and US economic indicators - inflation, GDP and unemployment; and examines the impact of quantitative easing on the stock market and the dollar exchange rate fluctuation. Given that quantitative easing is increasingly used during expansionary monetary policy, it remains one of the most relevant topics in today's economy. The growth of the US economy depends on quantitative easing and its scope, not only in the short term, but also in the long term. In the research part of the work, the author briefly reviews the situation in the US economy and financial market after the start of the COVID-19 pandemic, and moves on to correlation, regression and VAR analysis. The author uses the size of the Fed's balance sheet as an indicator of quantitative easing, and performs correlational and regression analysis between the Fed's balance sheet and three variables: CPI, GDP and unemployment. In the end, the author summarizes the research results and concludes that the FED's quantitative easing had both positive and negative effects on the US economy during the pandemic
Moon Music: A Composition of Art and Science in Dialogue
No full text Leonardo da Vinci's careful descriptions of the reflection of light by the moon inspired the author to compose a piece for choir on ways of perceiving the moon. In The Two Moons, Leonardo's words are contrasted with two additional texts: facts from a textbook on astronomy and a poem by Denise Levertov. The author discusses the challenge of transforming text and idea into musical sound. Further he discusses exploring natural phenomena by means of parallel efforts in art and science. </jats:p
Emigration and Policy in Yugoslavia: Dynamics and Constraints within the Process of Muslim Emigration to Turkey during the 1950s
Get PDF The southern parts of Yugoslavia, especially Macedonia, experienced massive emigration by non-Slavic Muslims in the 1950s after an agreement was concluded between Yugoslavia and Turkey in 1953. The movement raises questions of ethnic belonging and policy towards minorities in socialist Yugoslavia, especially regarding the Albanian population in Kosovo. It also raises questions regarding the entanglement of (migration) policy and emigration and the character of state intervention in an on-going emigration process. Thus, the author's aim is to analyse the pillars of migration policy, the legal and regulatory framework as well as the extent, causes and consequences of state intervention on emigration processes to Turkey. The author further questions the emigration factors and their ethno-political dimensions, also examining how the mass emigration of Muslims influenced different fields of society in the region of origin as well as the Muslim lifeworld in the region. </jats:p
DETEKSI OBJEK DAN JENIS BURUNG MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK DENGAN ARSITEKTUR INCEPTION RESNET-V2
Get PDFBanyaknya spesies burung membuat kita kesulitan untuk mengenali jenis burung dan diperlukannya pemahaman yang lebih khususnya dalam bidang zoologi. mengenali spesies burung secara manual merupakan tugas berat, di perlukannya SDM yang besar untuk mengidentitifikasi spesies burung apalagi jumlah yang akan akan di identifikasi begitu banyak dan juga memakan banyak waktu. Pada penelitian ini membuat sebuah sistem yang dapat mengenali spesies burung menggunakan citra gambar secara otomatis dengan menggunakan salah satu Arsitektur dari Convolutional Neural Network yaitu Inception Resnet V2, sehingga data citra tersebut dapat diekstraksi kemudian dapat mengenali spesies dari jenis burung. Yang bertujuan untuk melakukan pemantauan satwa khususnya burung dengan mengidentifikasi spesies burung secara otomatis, kemudian diharapkan masyarakat dengan mudah untuk mengenali jenis burung dan juga meningkatkan kemampuan kita untuk mempelajari dan melestarikan ekosistem khususnya ekosistem burung
