1) A method was developed to detect transrenal DNA mutations using a piezoelectric plate sensor with attomolar sensitivity and specificity to detect mutant DNA in a background of wild type DNA.
2) Signal processing algorithms and a moving window approach were optimized to reduce noise and accurately detect mutation peaks with concentrations as low as 60 copies/ml.
3) Laminar flow and temperature conditions were identified that maximized specificity for detecting mixtures of mutant and wild type target DNA.
4) The method was validated through two-color fluorescent microsphere reporter hybridization and applied to detect double-stranded target DNA and DNA extracted from cell cultures.
1) A method was developed to detect transrenal DNA mutations using a piezoelectric plate sensor with attomolar sensitivity and specificity to detect mutant DNA in a background of wild type DNA.
2) Signal processing algorithms and a moving window approach were optimized to reduce noise and accurately detect mutation peaks with concentrations as low as 60 copies/ml.
3) Laminar flow and temperature conditions were identified that maximized specificity for detecting mixtures of mutant and wild type target DNA.
4) The method was validated through two-color fluorescent microsphere reporter hybridization and applied to detect double-stranded target DNA and DNA extracted from cell cultures.
This verified certificate recognizes that Ceyhun Ekrem Kirimli successfully completed and passed the online course "6.02x: Embedded Systems - Shape the World" offered through UTAustinX, an online learning initiative of The University of Texas System partnered with edX. The certificate is signed by the Executive Director of the Institute for Transformational Learning at UT System, the Vice Provost for Higher Education Policy and Research and Executive Director of the Center for Teaching and Learning at UT Austin, a Senior Lecturer at UT Austin, and a Professor of Electrical Engineering at UT Austin.
Michel Maharbiz, Associate Professor of Electrical Engineering and Computer Science at UC Berkeley, and Tom Zajdel, Graduate Student Researcher at UC Berkeley, verify that Ceyhun Ekrem Kirimli successfully completed and passed the course EE40LX: Electronic Interfaces: Bridging the Physical and Digital Worlds, offered by BerkeleyX through edX, and was issued a certificate on May 08, 2015.
Rafael A. Irizarry is a professor of biostatistics at both Harvard T.H. Chan School of Public Health and Dana Farber Cancer Institute. This certificate verifies that Ceyhun Ekrem Kirimli successfully completed and passed the course PH525.2x: Introduction to Linear Models and Matrix Algebra offered by HarvardX, Harvard University's online learning initiative through edX, on May 26, 2015.
Professor Rafael A. Irizarry is a professor of biostatistics at both Harvard T.H. Chan School of Public Health and Dana Farber Cancer Institute. This certificate verifies that Ceyhun Ekrem Kirimli successfully completed and passed the course PH525.1x: Statistics and R for the Life Sciences offered by HarvardX, an online learning initiative of Harvard University through edX, on May 26, 2015.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
This verified certificate recognizes that Ceyhun Ekrem Kirimli successfully completed and passed the online course "6.02x: Embedded Systems - Shape the World" offered through UTAustinX, an online learning initiative of The University of Texas System partnered with edX. The certificate is signed by the Executive Director of the Institute for Transformational Learning at UT System, the Vice Provost for Higher Education Policy and Research and Executive Director of the Center for Teaching and Learning at UT Austin, a Senior Lecturer at UT Austin, and a Professor of Electrical Engineering at UT Austin.
Michel Maharbiz, Associate Professor of Electrical Engineering and Computer Science at UC Berkeley, and Tom Zajdel, Graduate Student Researcher at UC Berkeley, verify that Ceyhun Ekrem Kirimli successfully completed and passed the course EE40LX: Electronic Interfaces: Bridging the Physical and Digital Worlds, offered by BerkeleyX through edX, and was issued a certificate on May 08, 2015.
Rafael A. Irizarry is a professor of biostatistics at both Harvard T.H. Chan School of Public Health and Dana Farber Cancer Institute. This certificate verifies that Ceyhun Ekrem Kirimli successfully completed and passed the course PH525.2x: Introduction to Linear Models and Matrix Algebra offered by HarvardX, Harvard University's online learning initiative through edX, on May 26, 2015.
Professor Rafael A. Irizarry is a professor of biostatistics at both Harvard T.H. Chan School of Public Health and Dana Farber Cancer Institute. This certificate verifies that Ceyhun Ekrem Kirimli successfully completed and passed the course PH525.1x: Statistics and R for the Life Sciences offered by HarvardX, an online learning initiative of Harvard University through edX, on May 26, 2015.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
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Artificial intelligence (AI) | Definitio
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.