mobiplus is a service that enables your business,products,services,offers,new arrivals to be in every mobile phone ,notifiying your customer for evrything you put in.
Olá amigos, meu nome é Dijailton Santos, gosto do empreendedorismo, sou apaixonado por marketing multinível e digital, gasto boa parte do meu tempo livre adquirindo conhecimento no assunto, através de cursos, livros e palestras, desde o ano de 2005. Agradeço pela sua amizade!
mobiplus is a service that enables your business,products,services,offers,new arrivals to be in every mobile phone ,notifiying your customer for evrything you put in.
Olá amigos, meu nome é Dijailton Santos, gosto do empreendedorismo, sou apaixonado por marketing multinível e digital, gasto boa parte do meu tempo livre adquirindo conhecimento no assunto, através de cursos, livros e palestras, desde o ano de 2005. Agradeço pela sua amizade!
QNT 351 Final Exam Answers 2015 versionmahallbethena
QNT 351 Final Exam Answers
1) The main purpose of descriptive statistics is to
A. summarize data in a useful and informative manner
B. make inferences about a population
C. determine if the data adequately represents the population
D. gather or collect data
2) The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called
A. statistics
B. descriptive statistics
C. inferential statistics
D. levels of measurement
3) The performance of personal and business investments is measured as a percentage, return on investment. What type of variable is return on investment?
A. Qualitative
B. Continuous
C. Attribute
D. Discrete
4) What type of variable is the number of robberies reported in your city?
A. Attribute
B. Continuous
C. Discrete
D. Qualitative
5) What level of measurement is the number of auto accidents reported in a given month?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
6) The names of
A preponderance of scientific evidence over the last hundred years tells us that our galaxy is filled with an unknown substance called dark matter. In fact, there is five times as much dark matter in the universe than there is ordinary matter: we are swimming in an ocean of dark matter and we have no firm idea what it is. We suspect that dark matter is composed of undiscovered elementary particles whose properties may, in turn, unlock some of the most pressing open questions in fundamental physics. So why haven't we figured out how to study dark matter in the lab, and why should we be optimistic that we may make progress in the coming decades?
Presentation about ParticleBites.com efforts in the context of sustainability as part of the Sustainable HEP 2nd ed. workshop. https://indico.cern.ch/event/1160140/timetable/
Presented at the 2022 APS April Meeting, session Z05.00009
Abstract: We present a novel approach for student assessment in large physics lecture courses on student-recorded videos. Students record 5-minute videos teaching how to solve a problem to other students and are partially graded based on peer reviews from other students. After piloting this method during COVID-19 remote teaching over the last year and a half, we have found encouraging indications that it (1) promotes student self-efficacy and metacognition, (2) builds in a deeper engagement with the material, (3) encourages student creativity, (4) develops technical and critical communication ability, and (5) avoids long-standing issues with digital plagiarism. Though the method was developed during pandemic teaching, we propose that aspects can be readily applied to in-person teaching and scales with class size. We comment on the potential to support diverse student retention in physics and outline potential pedagogical trade-offs of this method.
Invited talk at the American Physical Society April Meeting, 9 April 2022.
Like many physical systems, the challenge to make physics more equitable is multiscale. The way in which one perceives and is able to change inequities changes over the early phase of an academic career. These changes reflect the scope of one's academic community, the evolving set of career incentives, and a growing ability to directly influence institutional norms. In this talk we provide a framework for how we engage with equity as early career academics. From this framework, we highlight the ways in which early career academics are uniquely qualified to affect change, and the ways institutions can ensure that these academics continue to be agents for positive change as mid-career scientists.
QNT 351 Final Exam Answers 2015 versionmahallbethena
QNT 351 Final Exam Answers
1) The main purpose of descriptive statistics is to
A. summarize data in a useful and informative manner
B. make inferences about a population
C. determine if the data adequately represents the population
D. gather or collect data
2) The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called
A. statistics
B. descriptive statistics
C. inferential statistics
D. levels of measurement
3) The performance of personal and business investments is measured as a percentage, return on investment. What type of variable is return on investment?
A. Qualitative
B. Continuous
C. Attribute
D. Discrete
4) What type of variable is the number of robberies reported in your city?
A. Attribute
B. Continuous
C. Discrete
D. Qualitative
5) What level of measurement is the number of auto accidents reported in a given month?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
6) The names of
A preponderance of scientific evidence over the last hundred years tells us that our galaxy is filled with an unknown substance called dark matter. In fact, there is five times as much dark matter in the universe than there is ordinary matter: we are swimming in an ocean of dark matter and we have no firm idea what it is. We suspect that dark matter is composed of undiscovered elementary particles whose properties may, in turn, unlock some of the most pressing open questions in fundamental physics. So why haven't we figured out how to study dark matter in the lab, and why should we be optimistic that we may make progress in the coming decades?
Presentation about ParticleBites.com efforts in the context of sustainability as part of the Sustainable HEP 2nd ed. workshop. https://indico.cern.ch/event/1160140/timetable/
Presented at the 2022 APS April Meeting, session Z05.00009
Abstract: We present a novel approach for student assessment in large physics lecture courses on student-recorded videos. Students record 5-minute videos teaching how to solve a problem to other students and are partially graded based on peer reviews from other students. After piloting this method during COVID-19 remote teaching over the last year and a half, we have found encouraging indications that it (1) promotes student self-efficacy and metacognition, (2) builds in a deeper engagement with the material, (3) encourages student creativity, (4) develops technical and critical communication ability, and (5) avoids long-standing issues with digital plagiarism. Though the method was developed during pandemic teaching, we propose that aspects can be readily applied to in-person teaching and scales with class size. We comment on the potential to support diverse student retention in physics and outline potential pedagogical trade-offs of this method.
Invited talk at the American Physical Society April Meeting, 9 April 2022.
Like many physical systems, the challenge to make physics more equitable is multiscale. The way in which one perceives and is able to change inequities changes over the early phase of an academic career. These changes reflect the scope of one's academic community, the evolving set of career incentives, and a growing ability to directly influence institutional norms. In this talk we provide a framework for how we engage with equity as early career academics. From this framework, we highlight the ways in which early career academics are uniquely qualified to affect change, and the ways institutions can ensure that these academics continue to be agents for positive change as mid-career scientists.
Talk for the 26th Fr. Ciriaco Pedrosa, O.P. Memorial Lecture Series and 8th International Symposium on Mathematics and Physics at the University of Santo Tomas (Manila, Philippines). Presented remotely on Nov 26, 2021
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxMAGOTI ERNEST
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills MN
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
BREEDING METHODS FOR DISEASE RESISTANCE.pptxRASHMI M G
Plant breeding for disease resistance is a strategy to reduce crop losses caused by disease. Plants have an innate immune system that allows them to recognize pathogens and provide resistance. However, breeding for long-lasting resistance often involves combining multiple resistance genes
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
