A Physics-Inspired Mechanistic Model of Migratory Movement Patterns in Birds

Based on the results of research that conducted by previous researchers suggest that the schools are the institutions most vulnerable to enter the radical religious ideology. Many factors could be cause this to happen. The lack regulation of the process of Islamic religious education in the schools, psychological conditions adolescentare unstable and looking for identity, the lack of religious comprehension in the students, and the religious organizations that entered to school institutions with a various of ideologies very easy, are part of the factors that cause vulnerability school institute from radical religious comprehension. In the respect to these conditions are required the model of the da’wa movement that can be accepted by adolescent and it be an alternative in the development of da’wa in the schools.To get the data, the authors conducted a qualitative study in the area of Purwokerto using the phenomenological approach. The researchers conducted interviews and focus group discussions with the school leaders, teachers, students, activists of religious organizations, and religious leaders who understand the problems in this study. The main data is processed by combining the results of the observation and study of literature through a phenomenological approach that emphasizes the meaning behind the phrases or statements from informan.To produce the movement patterns of school da’wathat can be acceptable to all the communities in the schools, the school needs to make the movement patterns of integratif school da’wa,both intra-curricular, co-curricular and extra-curricularactivities. The religious activities and cultivation of religious values are part of the process of da’wa that do not separated in the schools. In the practice of this the movement patterns, the school should pay attention to the characteristics of the school, students' backgrounds, as well as involvedstakeholders and the da’wa organizations.

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Restriction of Access to Dark State: A New Mechanistic Model for Heteroatom-Containing AIE Systems

10.26434/chemrxiv.8275325.v1 ◽

2019 ◽

Author(s):

Yujie Tu ◽

Junkai Liu ◽

Haoke Zhang ◽

Qian Peng ◽

Jacky W. Y. Lam ◽

...

Keyword(s):

Excited States ◽

Radiative Decay ◽

Molecular Design ◽

Mechanistic Model ◽

Zinc Ion ◽

Easy Access ◽

Triplet States ◽

Dark State ◽

Ion Probe ◽

Π State

Aggregation-induced emission (AIE) is an unusual photophysical phenomenon and provides an effective and advantageous strategy for the design of highly emissive materials in versatile applications such as sensing, imaging, and theragnosis. "Restriction of intramolecular motion" is the well-recognized working mechanism of AIE and have guided the molecular design of most AIE materials. However, it sometimes fails to be workable to some heteroatom-containing systems. Herein, in this work, we take more than one excited state into account and specify a mechanism –"restriction of access to dark state (RADS)" – to explain the AIE effect of heteroatom-containing molecules. An anthracene-based zinc ion probe named APA is chosen as the model compound, whose weak fluorescence in solution is ascribed to the easy access from the bright (π,π*) state to the closelying dark (n,π*) state caused by the strong vibronic coupling of the two excited states. By either metal complexation or aggregation, the dark state is less accessible due to the restriction of the molecular motion leading to the dark state and elevation of the dark state energy, thus the emission of the bright state is restored. RADS is found to be powerful in elucidating the photophysics of AIE materials with excited states which favor non-radiative decay, including overlap-forbidden states such as (n,π*) and CT states, spin-forbidden triplet states, which commonly exist in heteroatom-containing molecules.

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The nature of metacognitive inefficiency in perceptual decision making

10.31234/osf.io/g9qzh ◽

2020 ◽

Author(s):

Medha Shekhar ◽

Dobromir Rahnev

Keyword(s):

Decision Making ◽

Mechanistic Model ◽

Perceptual Decision Making ◽

Large Dataset ◽

Substantial Body ◽

Confidence Levels ◽

Continuous Scale ◽

Competing Models ◽

Metacognitive Ability ◽

Confidence Ratings

Humans have the metacognitive ability to judge the accuracy of their own decisions via confidence ratings. A substantial body of research has demonstrated that human metacognition is fallible but it remains unclear how metacognitive inefficiency should be incorporated into a mechanistic model of confidence generation. Here we show that, contrary to what is typically assumed, metacognitive inefficiency depends on the level of confidence. We found that, across five different datasets and four different measures of metacognition, metacognitive ability decreased with higher confidence ratings. To understand the nature of this effect, we collected a large dataset of 20 subjects completing 2,800 trials each and providing confidence ratings on a continuous scale. The results demonstrated a robustly nonlinear zROC curve with downward curvature, despite a decades-old assumption of linearity. This pattern of results was reproduced by a new mechanistic model of confidence generation, which assumes the existence of lognormally-distributed metacognitive noise. The model outperformed competing models either lacking metacognitive noise altogether or featuring Gaussian metacognitive noise. Further, the model could generate a measure of metacognitive ability which was independent of confidence levels. These findings establish an empirically-validated model of confidence generation, have significant implications about measures of metacognitive ability, and begin to reveal the underlying nature of metacognitive inefficiency.

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