Music

Eden, Bradford Lee

doi:10.1002/9781118517468.ch34

Cited by 4 publications

(6 citation statements)

References 2 publications

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“…To a limited extent, weak

t_{50}

scaling laws can be numerically fitted by nucleation–polymerization theories by introducing additional model parameters describing, for example, hypothetical sub‐steps of fibril nucleation and growth, stochastic nucleation steps, and threshold fibril concentrations above which fibril fragmentation is suppressed . Complex scaling exponents of

t_{50}

v_{50}

and end‐point signal (

F_{\infty}

) can also be justified by directly observable processes, such as monomer loss kinetics, with no overfitting problems .…”

Section: Figurementioning

confidence: 99%

Distribution of Amyloid‐Like and Oligomeric Species from Protein Aggregation Kinetics

et al. 2017

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Amyloid fibrils and soluble oligomers are two types of protein aggregates associated with neurodegeneration. Classic therapeutic strategies try to prevent the nucleation and spread of amyloid fibrils, whilst diffusible oligomers have emerged as promising drug targets affecting downstream pathogenic processes. We developed a generic protein aggregation model and validate it against measured compositions of fibrillar and non-fibrillar assemblies of ataxin-3, a protein implicated in Machado-Joseph disease. The derived analytic rate-law equations can be used to 1) identify the presence of parallel aggregation pathways and 2) estimate the critical sizes of amyloid fibrils. The discretized population balance supporting our model is the first to quantitatively fit time-resolved measurements of size and composition of both amyloid-like and oligomeric species. The new theoretical framework can be used to screen a new class of drugs specifically targeting toxic oligomers.

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“…To a limited extent, weak

t_{50}

t_{50}

v_{50}

and end‐point signal (

F_{\infty}

) can also be justified by directly observable processes, such as monomer loss kinetics, with no overfitting problems .…”

Section: Figurementioning

confidence: 99%

Distribution of Amyloid‐Like and Oligomeric Species from Protein Aggregation Kinetics

et al. 2017

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“…The exact solutions for the upper sign in Eqs. (14)(15)(16)(17) are displayed in Table II. Now the CC problem has two resonances and two antibound states.…”

Section: B Coupled-channel: Exact Solutionsmentioning

confidence: 99%

“…According to Ref. [14], if there is a resonant pole in any of the channels with no coupling, in the CC problem this pole will generate two poles in different Riemann sheets. In our model this implies that, when the channel interaction V 12 is gradually turned on, one pole will appear in the fourth sheet (Im(k)>0, Im(p)<0) and the second pole in the third sheet (Im(k)<0, Im(p)<0).…”

Section: B Coupled-channel: Exact Solutionsmentioning

confidence: 99%

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Shadow poles in coupled-channel problems calculated with the Berggren basis

2018

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Background: In coupled-channel models the poles of the scattering S-matrix are located on different Riemann sheets. Physical observables are affected mainly by poles closest to the physical region but sometimes shadow poles have considerable effect, too.Purpose: The purpose of this paper is to show that in coupled-channel problems all poles of the S-matrix can be located by an expansion in terms of a properly constructed complex-energy basis.Method: The Berggren basis is used for expanding the coupled-channel solutions.Results: The locations of the poles of the S-matrix for the Cox potential, constructed for coupled channel problems, were numerically calculated and compared with the exact ones. In a nuclear physics application the J π = 3/2 + resonant poles of 5 He were calculated in a phenomenological two channel model. The properties of both the normal and shadow resonances agree with previous findings. Conclusions:We have shown that, with an appropriately chosen Berggren basis, all poles of the S-matrix including the shadow poles can be determined. We have found that the shadow pole of 5 He migrates between Riemann sheets if the coupling strength is varied.

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“…Relative humidity (RH) is an important parameter and the detection and control of humidity is crucial for various important fields including agricultural (e.g., greenhouse), [1] food (e.g., the agri-food chain), [2] new material development (e.g., novel layered double hydroxide, [3] hydrophobic triphenylamine holetransport materials, [4] single stranded DNA-functionalized graphene, [5] the ambient degradation of few-layer black phosphorus [6] ), biology research and protection (e.g., human emissions of fluorescent biological aerosol particles, [7] biology of Tuta absoluta (Meyrick), [8] stem cell culture [9] ), physics applications (e.g., micro inverter reliability assessment, [10] high energy physics applications [11] ), health services (e.g., resuspension of biological particles). [12] In these advanced scientific researches, highly sensitive humidity sensors are imperative.…”

Section: Introductionmentioning

confidence: 99%

Research Advances in Microfiber Humidity Sensors

Peng

Zhao

Chen

et al. 2018

Small

100

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An overview of the numerous latest research in microfiber humidity sensors is carried out with a specific focus on measurement methods, humidity sensitive materials, probe structures, and sensing properties of different sensors. First, five mainstream measurement structures, including taper, fiber grating, coupler, resonator, and interferometer are reviewed. It is concluded that these measurement structures sense the physicochemical property variations of microfibers or sensitive films and exhibit the change of optical signal when exposed to environment. Second, the basic preparation methods, humidity‐sensing properties, and their advantages and disadvantages as humidity sensitive material are addressed. Then, the advantages and disadvantages of all the above sensing structures are also discussed and compared. Finally, the main existing problems and potential solutions of microfiber humidity sensors are pointed out.

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Music

Cited by 4 publications

References 2 publications

Distribution of Amyloid‐Like and Oligomeric Species from Protein Aggregation Kinetics

Distribution of Amyloid‐Like and Oligomeric Species from Protein Aggregation Kinetics

Shadow poles in coupled-channel problems calculated with the Berggren basis

Research Advances in Microfiber Humidity Sensors

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