Open Access Pub publishes peer-reviewed, free-to-read open-access articles. Showing
articles matching AMMI — open any to read the full text,
or download the PDF or XML.
Sep 2024 DOI 10.14302/issn.2644-1101.jhp-24-5247
Nikola Tesla's visions and inventions realized in his controlled altered states of consciousness were considered previously as manifestations of his meditative insights within an extended framework of quantum-holographic macroquantum correlations of individual & collective consciousness. This Tesla-inspired paper now focuses on related psychosomatic aspects of quantum entropy & entanglement, and consequences on the usually observable biological arrow of time & spiritual-informational time reversal. Finally we discuss spiritual-informational implications for free will and individual and collective consciousness reprogramming.
Dec 2020 DOI 10.14302/issn.2641-4538.jphi-20-3641
Background Evidence based message design and efficient dissemination of messages are critical to the success of tobacco control mass media campaigns. Although evidence to measure effectiveness of messages is emerging within low -and middle-income country (LMIC) settings, evidence-based approaches for mass media message dissemination is currently lacking due to challenges in accurate assessment of gross rating points (GRPs) for efficient delivery of campaign messages. Approaches to more accurately predict optimal campaign impact are required to achieve best-buys in resource constrained settings Method A case study approach compared findings from two national tobacco control mass media campaigns implemented in Bangladesh. Stage one reviewed protocols to assess the efficacy of message designs. Second stage analysis involved a review of the mass media campaign recall findings from cross-sectional, post-intervention surveys. Last, a post assessment of GRPs for both campaigns was conducted to support the development of an algorithm to better predict campaign impact at the greatest cost-efficiencies. Results Message mean pre-test scores identified that the Baby Alive campaign scored approximately 20% lower than mean pre-test scores of messages for the Graphic Health Warning campaign. Media dissemination for the Baby Alive campaign was also relatively low at 165GRPs achieving 16.8% prompted recall while the Graphic Health Warning campaign delivered 292GRPs to achieve 47.0% prompted recall. The analytic-predictive model identified that for messages with high pre-test scores an increase of only 1.5GRPs was required to the existing media plan to potentially achieve an additional percentage point of recall. Discussion Given the weaknesses in GRP calculations in LMIC settings, analysis of multiple metrics should be considered to achieve best buys for tobacco control mass media campaigns. Based on optimal message mean pre-test scores of 90%+ and delivery of 292GRPs, which achieved 47% campaign recall, optimal recall of 70% could be predicted with a media plan delivering 342GRPs. More analytical-predictive mass media programming models need to be developed in other LMIC settings examining multiple campaign findings to confirm if this algorithm can provide better returns on investment with efforts directed toward delivering interventions that are supported by a strong evidence base.
Aug 2025 DOI 10.14302/issn.3070-3360.ijco-25-5644
The paper considers holistic psychosomatic and spiritual implications of our extended quantum-holographic theoretical framework in the context of Ho'oponopono remarkable reprogramming of the life situations by contextual repenting and forgiving ourselves. This suggests the full importance of holistic education and behavior, demonstrating the necessity of reorientation towards holistic subtle actions for global solutions of the world risk society.
Mar 2024 DOI 10.14302/issn.2689-4602.jes-24-4982
Mammalian Rbm45 is predominately expressed in neuronal tissue and is integral in brain development and neuronal differentiation under physiological conditions. Dysregulation of Rbm45 has been strongly associated with neurodegenerative disorders in humans and can drive hepatocellular carcinoma through reprogramming lipid metabolism. Intriguingly, Rbm45 is an ancient protein, evolutionarily conserved throughout metazoans, including in sponges which lack a nervous system. Curiously, the evolution of Rbm45 gene structure and protein domain conservation across kingdom Animalia is largely unknown. We performed phylogenetic analysis of Rbm45 nucleotide and amino acid sequences from 36 species representing 9 phyla: Porifera, Cnidaria, Priapulida, Mollusca, Brachiopoda, Arthropoda, Echinodermata, Hemichordata, and Chordata. While the tree from Rbm45 nucleotide sequence data resulted in clades Protostomia and Deuterostomia showing paraphyly, the phylogeny derived from Rbm45 amino acid sequence largely recapitulated known monophyletic relationships among metazoans. Human RBM45 protein structure includes three RNA-binding domains (RBD), a homo-oligomerization association (HOA) domain, a nuclear localization sequence (NLS), and a nuclear export sequence (NES). Multiple sequence alignment across the same 36 taxa used for phylogenetic analysis revealed conservation of all three RBDs, the HOA, and NLS; in contrast the NES was only detected in clade Craniata and not in clades Ambulacraria and Protostomia. Rbm45 gene structure analysis revealed increasing gene complexity concomitant with increasing evolutionary complexity. Rbm45 from non-bilaterian taxa had from 2 to 4 large exons, while bilaterian taxa had between 6 to17 small exons. These findings demonstrate that Rbm45 is an ancient, highly conserved gene among metazoans suggesting a function in a breadth of neural/sensory systems.
Oct 2023 DOI 10.14302/issn.2639-3166.jar-23-4463
Genotype by environment (GE) interaction is considered to be among the major factors limiting the efficiency of breeding programs.Five chickpea genotypes were evaluated to study their adaptability and stability in eight environments of Sudan. The experiments were carried out in randomized complete block design (RCBD) with four replications in four locations in over two years (2017/2018 and 2018/2019).Stability was estimated using additive main effects and multiplicative interaction (AMMI) model.A Combined analysis of variance showed significant effects of genotypes, locations, years and their interactions on seed yield. Mean seed yield ranged between 1.88 and 1.45 t ha-1 for the genotypes FLIP 08-59 C and FLIP 09-187 C, respectively. The genotype FLIP 08-59 C gave the highest average seed yield and out-yielded the two checks, Shiekh Mohamed and Burgeig by 9.5% and 10.1%, respectively. The newly introduced (FLIP 08-59 C) showed non- significant differences in earliness as compared to the other two standard checks resistant to fusarium wilt disease and with good seed weight. The statistical analysis showed that genotype (G), environment (E) and their interaction (GEI) had highly significant (P ≤ 0.001) effect on seed yield. It also revealed that environmental differences accounted for 90.2% of the total variation. The results of data analysis displayed that the percentages of seed yield by environment, genotype and genotype environment interaction were 90.2%, 3.6% and 6.3%, respectively. The IPCA 1 and IPCA 2 axes (Principal Components) were highly significant P ≤ 0.001). The model for seed chickpea yield stability (the Additive Main Effect and Multiplicative Interaction (AMMI) model) showed that the G1 (FLIP 08-59 C) was adapted, high yielding and considered as stable genotype for Gezira, River Nile and Northern States of Sudan. In addition, this genotype is early flowering with non-significant differences in earliness as compared to the two checks and with good seed weight. Therefore, the above mentioned genotype FLIP 08-59 C could be recommended as commercially stable and high yielding cultivar and/or incorporated as breeding stocks in any future breeding programs aiming to produce high yielding genotypes of chickpea.
Feb 2023 DOI 10.14302/issn.2643-2811.jmbr-22-4302
The Gas Turbine operation was investigated with a view to evolving a system designed to provide a realistic imitation of the controls and operation of a Gas Turbine, used for training purposes. Operator Training Simulator has been widely adopted by many industries being a computer simulation which attempts to model a real-life plant so that it can be studied. A well trained and skilled operator is key in increasing power plant safety and productivity. Therefore, enabling quality training for operators is becoming more important as they need to handle increased load of information and duties whereas the lack of training is a major reason for inadequate performance. By changing variables in the simulator, predictions are made about the behaviour of the engine. It is a tool to virtually investigate the behaviour of the system while in operation. This work becomes indispensable because it is prohibitively expensive or simply too dangerous to allow trainees use the real equipment in a power plant. The Gas Turbine operation’s simulator is born from Object Oriented Programming, employing key programming languages. The simulator design focused on specific tasks in the operation of the Gas Turbine which include; startup, synchronization and monitoring of vital parameters like vibration, temperature, pressure, and angle of the Inlet Guide Vane. The statuses of various valves, pumps and motors as well as the Performance of actuators and the response of concatenated components are also being tracked. The simulator was found to effectively mimic a real plant life. With this simulator, trainee operators in Gas Turbine can spend time learning valuable lessons in a "safe" virtual environment yet living a lifelike experience. This will go a long way in minimizing operators’ error in GT power plants, thereby curtailing power outages and conserving power plant components.
Mar 2022 DOI 10.14302/issn.2766-8681.jcsr-22-4126
This design is according to the requirements of the wide rider, and the Multi-function bike computer has the function of velocity measurement, display, timing, lighting, buzzer warning, which could satisfy the requirements of cycling enthusiasts. This design is based on STC89C52 SCM (Single Chip Microcomputer) smallest system and uses hall sensor receives the bicycle wheel rotation numbers date, and then transmit the received data into the SCM. After the SCM’s calculation and processing, it gets the bicycle’s instantaneous speed, mileage, riding time through the LED display the date. The part of software programming use C language, which compiles and downloads by the Keil and STC-ISP. This design uses Proteus to make the circuit diagram drawing and system simulation. The overall program adopted modular approach, and each module has a special function. The idea which makes the program more clear, is advantageous to the optimization of code logic and modification.
Mar 2020 DOI 10.14302/issn.2643-2811.jmbr-20-3237
This article has been retracted on 10 February 2021. VIEW THE RETRACTION NOTICE (https://doi.org/10.14302/issn.2643-2811.jmbr-25-5847) Understanding the implication of Genotype-by-Environment (GXE) interaction structure is an important consideration in plant breeding programs. Traditional statistical analyses of yield trials provide little or no insight into the particular pattern or structure of the GXE interaction. In this study, efforts were made to solve these problems under different level of data occurrence. We employed the simulation process of Monte Carlo in generating since use of a real-life data may pose a serious difficulty. In this paper, we simulated for two data Types of Balance and Unbalance designs with different Levels of generations (3X3, 7X7, 10X10, and 3X7, 7X3, 7X10, 10X7 , , respectively). We therefore check the performance of GXE interaction on four different models (AMMI, FW, GGE and Mixed model), and also their stability and adaptability. The findings revealed that, when the assumption was maintained, AMMI outperformed Finlay-Wilkinson model, GGE Biplot model and Mixed model.
May 2015 DOI 10.14302/issn.2379-7835.ijn-14-584
During the past three decades the prevalence of childhood obesity has steadily increased in the United States. Causes of childhood obesity are complex and include numerous individual and environmental factors. The purpose of this study was to determine parent perceptions on the social-ecological barriers (community, school, and family) to physical activity and healthy eating, perceived specific to their children. Self-reported data gathered from a 50-item questionnaire and six focus groups were conducted with parents (n=43) enrolled in the Women, Infants, and Children (WIC) Program. Participants (16 to 67 years old) were predominately female (88.4%), Hispanic (67%), low income, and living in or near Lompoc in Santa Barbara County, CA. The social-ecological model (family, school, and community) was utilized to create focus group questions and provide recommendations as part of the Lompoc Community Health Improvement Project (2006-to-the-present). Popular community barriers for physical activity were: disconnected sidewalks, lack of safe bike routes to school, lack of recreational programming at an affordable cost, and language barriers (lack of marketing physical activity programs in Spanish). Two safety barriers involved parks; fear of injury (dilapidated equipment) and fear of gangs (violence). Common school barriers were: teachers do not lead-by-example, lack of healthy food in school cafeteria, and insufficient time for children to purchase food and eat. Family barriers included: grandparents sabotaging healthy eating environments (e.g., spoiling children), insufficient nutrition knowledge (both children and parents), and economics (not being able to afford healthy food and a recreation/gym membership).