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Quantitative history

Mass spectrometry

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To delve into the realm of Quantification Techniques, one can explore various journals that provide valuable insights. Techniques for quantifying molecules in samples using mass spectrometry are detailed in one study. Another paper discusses the evolution of quantitative history methods and techniques, shedding light on the historical development of quantification approaches. Furthermore, the application of multicriteria techniques in decision-making processes within companies is explored, emphasizing the importance of systematic analysis and decision-making in complex environments. These journals offer a comprehensive understanding of quantification techniques, ranging from molecular quantification to historical evolution and modern decision-making methodologies.

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Open access•Proceedings Article Introduction to multicriteria techniques Jorge Azevedo Santos, Elsa Rosário Negas - Show less +1 more 01 Jan 2012 1 Citations	Not addressed in the paper.
Journal Article•DOI Quantitative history: Evolution of methods and techniques Roderick Floud 01 Apr 1977-Journal of The Society of Archivists 5 Citations	Not addressed in the paper.
Patent Techniques for quantification of samples Scott J. Geromanos, Johannes P. C. Vissers, James Ian Langridge - Show less +2 more 16 Nov 2012 7 Citations	Not addressed in the paper.
Journal Article•DOI Quantitative Risk Management: Concepts, Techniques, and Tools Christine M. Anderson-Cook 01 Dec 2006-Journal of the American Statistical Association 1.4K Citations	Not addressed in the paper.
Open access•Book Management techniques and quantitative methods John R. Beaumont 01 Jan 1984 4 Citations	Not addressed in the paper.

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What is the quantitive approach?5 answersA quantitative approach involves extracting objective data from medical images for clinical assessment and disease biomarker identification. In the context of risk assessment and management related to chemical and radioactive substances, a common metric like DALY (Disability-Adjusted Life Year) can be used to express health risks, facilitating comparison and communication among stakeholders. Quantification, as a distinct task from classification, aims to estimate the prevalence of different classes within a set of unlabelled items, with evolving methods for more accurate quantification and evaluation measures discussed in the literature. Environmental analysis emphasizes the importance of quantitative analysis, calibration, and quality assurance to determine contaminant levels accurately and ensure representative results. The hypotheses for quantitative studies are often developed based on qualitative expert interviews and previous research phases.

What are some of the techniques/methods used in quantitative research?5 answersQuantitative research employs various techniques and methods to gather and analyze data effectively. Some of these include probability sampling, which ensures credible explanations of phenomena through representative samples. Additionally, quantitative studies often utilize statistical analysis techniques, such as structural and reduced models, to understand relationships between variables and test hypotheses rigorously. Quantitative methods involve dealing with discrete numerical data to study incidences, effectiveness of interventions, and policy evaluations in fields like mental health. While quantitative research primarily focuses on quantifiable data, researchers must carefully select suitable sampling techniques based on research objectives and study scope to generalize findings effectively.

What is quantitatve reserach method?5 answersQuantitative research methodology involves the systematic study of social issues using numerical data for quantification and measurement of the subject under assessment. It is utilized to quantify attitudes, opinions, behaviors, and other defined variables, allowing for the generalization of results from a larger sample population by generating numerical data. This method employs discrete data in the form of numbers or concrete classifications to analyze incidences such as hospitalizations for mental health reasons or the effectiveness of cognitive-behavioral therapy in treating depression. Quantitative research is fundamental for evidence-based global health practices, emphasizing a clear target population, proper sampling techniques, adequate sample size, detailed data collection planning, and appropriate statistical analysis.

What is quantitatve reserach method?5 answersQuantitative research methods involve the systematic study of social issues using numerical data for quantification and measurement of the subject under assessment. These methods utilize discrete numerical data or concrete classifications to analyze phenomena, such as mental health hospitalization rates and the effectiveness of treatments like cognitive-behavioral therapy. Researchers often prefer quantitative methodologies for their ability to quantify attitudes, opinions, behaviors, and other variables, allowing for generalization of results from larger sample populations through numerical data generation. The foundation of evidence-based global health practices and interventions lies in quantitative research, emphasizing clear target populations, proper sampling techniques, adequate sample sizes, detailed data collection planning, and rigorous statistical analysis throughout the research cycle. Quantitative research methods, including questionnaires, biometric research, correlational studies, and experiments, are employed to test hypotheses and analyze numerical data.

How is quanitative data in research defined?4 answersQuantitative data in research is defined as data that can be quantified and expressed numerically, focusing on measuring magnitudes and quantities. In contrast to qualitative research, which emphasizes patterns and themes, quantitative research involves numerical data analysis to draw statistical inferences. Qualitative research, on the other hand, is more focused on exploring ideas and themes flexibly. Qualitative data analysis involves challenges in both conceptual understanding and practical techniques, requiring researchers to clarify their approach towards developing theories. Various forms of qualitative data, such as text, images, and sound, can be challenging to analyze, requiring preparation, coding, and different analysis methods like content analysis and thematic analysis. Analyzing qualitative data can range from descriptive to theory-building approaches, utilizing strategies like inductive thematic analysis and established traditions such as case studies and grounded theory.

What quantification learning methods were published in the last two years?5 answersQuantification learning methods published in the last two years include a generalized Bayesian quantification learning (GBQL) approach proposed by Fiksel et al.. This approach uses compositional predictions from probabilistic classifiers and allows for uncertainty in true class labels for limited labeled test data. It also includes an ensemble GBQL that uses predictions from multiple classifiers to yield robust inference. Another method is the Deep Quantification Network (DQN) framework introduced by Qi et al.. DQN formulates the quantification learning problem as a maximum likelihood problem and directly predicts the class distribution, avoiding separate steps of classification, ratio calculation, and adjustment. DQN outperforms existing methods in terms of mean absolute error and requires fewer training samples.

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Is there data available where carbon capturing was measured using Metal-Organic Framework with Carbonic Anhydrase and without?

The efficiency of carbon capturing using Metal-Organic Frameworks (MOFs) with and without Carbonic Anhydrase (CA) has been evaluated. MOFs are known for their high CO2 adsorption capacity, while CA enzymes accelerate CO2 hydration. Studies have shown that MOFs can be tuned for improved CO2 uptake, and hybridization with other materials can enhance their properties for CO2 capture applications. Additionally, neural network potentials based on density-functional theory have been developed to predict the thermal properties of amine-appended MOFs, aiding in understanding their carbon capture dynamics. Therefore, data is available on the synergistic effects of combining MOFs with CA enzymes for efficient carbon capturing, shedding light on the potential of this hybrid approach for enhanced CO2 sequestration.How to use gamma spectrometry for depleted uranium measurement?

Gamma spectrometry can be utilized for measuring depleted uranium by analyzing its decay products, such as Th-234 and Pa-234. This method allows for efficient measurements above 0.2 kilobecquerels as per ISO-9978 standards. Additionally, a method for assessing the mass concentration of uranium in uranium-bearing materials involves acquiring an energy spectrum of gamma radiation, calculating an initial mass concentration of uranium, measuring parameters representative of the sample, and calculating a corrected mass concentration of uranium using corrective coefficients. Furthermore, studies have shown that using a High-Purity Germanium detector combined with hypothesis tests on count statistics can help assess alpha contamination linked with low gamma activity, particularly in cases like uranium-based contamination on concrete surfaces.Why dichloromethane polarity is low?

Dichloromethane exhibits low polarity due to its nature as a low-polarity solvent, as evidenced by the establishment of a basicity scale for weak bases in 1,2-dichloroethane. Additionally, the rectification process involving the addition of ethylene glycol aids in separating and purifying the moisture content of dichloromethane, contributing to its low polarity characteristics. Furthermore, studies on nickel phthalocyaninates in dichloromethane solutions have shown the existence of associated forms even at very low concentrations, indicating the solvent's low polarity properties. Molecular dynamics simulations on organic liquids like methylchloromethane have highlighted that the inclusion of polarization in the solvent does not significantly impact its structure but slightly slows down dynamics, emphasizing the low polarity nature of dichloromethane.Does increase in column temprature provide better seaparation in mixture in hplc?

Increasing the column temperature in liquid chromatography (LC) can indeed enhance separation in mixtures. Elevated temperatures reduce retention times, increase throughput, and lower running costs by decreasing viscosity, allowing the use of columns packed with small particles and higher flow rates. High-temperature LC coupled with sub-2 μm columns can significantly boost efficiency by reducing mobile phase viscosity and backpressure, resulting in higher plate counts and improved separation of compounds in mixtures. However, it is essential to note that while column temperature can be a powerful tool for controlling separations, it can also introduce challenges. Overall, utilizing higher temperatures in HPLC can be a valuable strategy to achieve better separation in mixtures by optimizing column performance and reducing operational costs.May Iuse Negative-pressure with hocl?

Yes, you can potentially use negative pressure in conjunction with HOCl (Hypochlorous Acid) based on the contexts provided. Negative pressure wound dressings have been developed to enhance wound healing by creating an environment conducive to recovery. Additionally, a negative-pressure injector has been designed for medical treatments in a negative-pressure environment, offering new possibilities for western medicine applications. Moreover, a negative pressure ear pick has been invented to aid in the removal of dirt from the ear canal, showcasing the versatility of negative pressure applications in various medical devices. Therefore, the combination of negative pressure techniques with HOCl could potentially offer benefits in wound care, medical treatments, and ear hygiene.How does the preparation of fragrance microemulsions differ from traditional methods of fragrance formulation?

The preparation of fragrance microemulsions differs from traditional methods of fragrance formulation by involving the creation of nanostructures within the system. These nanostructures are formed by mixing water, water surfactant, fragrance material, and fragrance surfactant, followed by high-energy homogenization techniques like microfluidization and sonication. In contrast, traditional methods focus on the phase behavior of perfume raw materials within surfactant-based formulations, influenced by factors like structure and hydrophobicity of the raw materials. The addition of water in rinse-off products further affects the phase behavior, leading to the identification of specific compositions in micellar, microemulsion, and transition regions through phase diagrams and structural analyses using techniques like small-angle neutron scattering (SANS).How does the arrangement of atoms in a crystalline structure affect the number of coordination bonds?

The arrangement of atoms in a crystalline structure significantly influences the number of coordination bonds formed. The coordination number, which represents the number of atoms or ions surrounding a central atom in a crystal lattice, is impacted by factors such as atomic radii, electronegativity, and packing arrangements. The coordination number parity law highlights that polyhedra with an odd number of vertices occur less frequently, with distortions affecting bond lengths and symmetry. Additionally, the coordination number tends to decrease with increasing central cation coordination number due to variations in Born repulsion and Coulomb attraction. Nanocrystals exhibit a lowered average coordination number compared to infinite lattices, emphasizing the influence of crystal size on coordination bonds.How to synthesize 4-amino quinolines?

To synthesize 4-amino quinolines, several methods can be employed based on the provided research contexts. One approach involves the condensation, cyclization, hydrolysis, decarboxylation, chlorination, nucleophilic substitution, reduction, and amidation of p-nitroaniline and ethoxymethylene malonic ester (EMME). Another method includes the reaction of 2-amino arylalkynyl ketones with organoselenolates to form (Z)-vinyl selenides, leading to 4-organoselenyl quinolines via an intramolecular condensation. These methods showcase diverse synthetic routes for obtaining 4-amino quinolines, highlighting the versatility in the preparation of these compounds for potential applications in medicinal chemistry and drug development.Why H2 gas is used in the cryogenic etch?

H2 gas is utilized in cryogenic etching processes due to its role in enhancing etch rates, selectivity, and surface quality. In the context of cryogenic etching of various materials like HgCdTe, CoFeB, and silicon, the addition of H2 has been shown to improve etch rates, selectivities, and sidewall profiles, leading to smoother surfaces and reduced damage. Specifically, in the case of MTJ materials, the H2/NH3 gas mixture enhances etch rates and selectivities, crucial for advanced nanoscale devices like STT-MRAM. Moreover, in the development of innovative etching techniques like Smart Etch for precise nanoscale etching of materials such as silicon nitride, H2 plasma plays a key role in modifying layers effectively while minimizing damage. Overall, the inclusion of H2 gas in cryogenic etching processes proves beneficial for achieving high-quality etching results.How mechanical strength influences the lattice thermal conductivity of a material?

Mechanical strength significantly impacts the lattice thermal conductivity of materials. For instance, pyrite SiN2 exhibits high thermal conductivity due to its known mechanical strength. In contrast, the lattice thermal conductivity of NiNb2O6 is affected by strain, where compressive strain enhances anisotropy, while tensile strain reduces it. BC$_2$N, a superhard material, showcases high lattice thermal conductivity exceeding that of c-BN, attributed to its strong bonds leading to high phonon frequencies and acoustic velocities. Compressive strain further increases the thermal conductivity of BC$_2$N by elevating frequency scales and reducing phonon-phonon scattering rates. Overall, the interplay between mechanical strength and strain plays a crucial role in determining the lattice thermal conductivity of materials, offering insights for thermal management applications.What are the practical uses of "interfacial charge-transfer processes by nanopipettes and scanning electrochemical microscopy"?

Interfacial charge-transfer processes by nanopipettes and scanning electrochemical microscopy have practical applications in various fields. Nanopipettes with electroactive interfaces enable sensitive electrochemical sensing and imaging applications, aiding in measuring non-electroactive ions in biological or environmental systems. Scanning electrochemical microscopy (SECM) techniques, such as scanning ion conductance microscopy (SICM), provide high-resolution electrochemical measurements by characterizing micro/nanopipettes and electrodes, essential for confined liquid environments. SECM also allows for in situ analysis of interfacial evolution at the microscale, offering insights into electrochemical reactions at the electrode/electrolyte interface. Additionally, microwave microscopy coupled with SECM enables precise mapping of charge transfer kinetics at the nanoscale, enhancing the understanding of electrochemical reactivity with unprecedented sensitivity.