Stability of Scalar Fields in Warped Extra Dimensions

This work sets up a general theoretical framework to study stability of models with a warped extra dimension where N scalar fields couple minimally to gravity. Our analysis encompasses Randall-Sundrum models with branes and bulk scalars, and general domain-wall models. We derive the Schrodinger equation governing the spin-0 spectrum of perturbations of such a system. This result is specialized to potentials generated using fake supergravity, and we show that models without branes are free of tachyonic modes. Turning to the existence of zero modes, we prove a criterion which relates the number of normalizable zero modes to the parities of the scalar fields. Constructions with definite parity and only odd scalars are shown to be free of zero modes and are hence perturbatively stable. We give two explicit examples of domain-wall models with a soft wall, one which admits a zero mode and one which does not. The latter is an example of a model that stabilizes a compact extra dimension using only bulk scalars and does not require dynamical branes.Comment: 25 pages, 2 figures; v2: minor changes to text, references added, matches published versio

Variability in locomotor dynamics reveals the critical role of feedback in task control.

Animals vary considerably in size, shape, and physiological features across individuals, but yet achieve remarkably similar behavioral performances. We examined how animals compensate for morphophysiological variation by measuring the system dynamics of individual knifefish (Eigenmannia virescens) in a refuge tracking task. Kinematic measurements of Eigenmannia were used to generate individualized estimates of each fish's locomotor plant and controller, revealing substantial variability between fish. To test the impact of this variability on behavioral performance, these models were used to perform simulated 'brain transplants'-computationally swapping controllers and plants between individuals. We found that simulated closed-loop performance was robust to mismatch between plant and controller. This suggests that animals rely on feedback rather than precisely tuned neural controllers to compensate for morphophysiological variability

Motivasyonel Dil (MD) Teorisi ve Ölçme Aracının Türkçede Geçerlik ve Güvenilirlik Analizi

When the literature of leadership and communication is examined, it can be identified that until 1990s, there was not enough study on the effects of a leader’s language and its content on motivation and performance of employees. This gap was filled in theoretical dimension by the Motivating Language Theory by Sullivan (1988) and as an extension of this theory, the Motivating Language Scale developed by Mayfield, Mayfield and Kopf (1995) based on the former study closed in practical dimension. In this study, the scale developed by Mayfield, Mayfield and Kopf (1995) has been tested for its validity and reliability. As a result of analyses carried out, it has been determined that the scale has a high rate of validity and reliability. Therefore, it is assessed that this scale can contribute to empirical studies in the future.Liderlik ve iletişim yazını incelendiğinde, 1990’lı yıllara kadar, liderin kullandığı dil ve bu dilin içeriğine ait söz edimlerinin, bireysel ve örgütsel çıktılar üzerinde nasıl bir etki yarattığına ilişkin yeterli sayıda araştırma bulunmadığı gözlenmektedir. Sullivan (1988) tarafından geliştirilen Motivasyonel Dil Teorisi’nin yazındaki bu eksikliği gidermeye yönelik ilk kapsamlı çaba olduğu söylenebilir. Mayfield, Mayfield ve Kopf’un (1995) bu teoriyi temel alarak geliştirdikleri Motivasyonel Dil Ölçeği ise konu ile ilgili görgül araştırmaların önünü açmıştır. Bu çalışmada, Mayfield, Mayfield ve Kopf (1995) tarafından geliştirilen söz konusu ölçeğin Türkçe’deki geçerlilik ve güvenilirliliği sınanmıştır. Yapılan analizler neticesinde ölçeğin yüksek geçerlilik ve güvenilirliğe sahip olduğu belirlenmiştir. Motivasyonel Dil Ölçeğinin bundan sonra Türk örneklem üzerinde yapılacak görgül araştırmalara katkı sağlayacağı değerlendirilmektedir

Motivasyonel Dil (MD) Teorisi ve Ölçme Aracının Türkçede Geçerlik ve Güvenilirlik Analizi

When the literature of leadership and communication is examined, it can be identified that until 1990s, there was not enough study on the effects of a leader’s language and its content on motivation and performance of employees. This gap was filled in theoretical dimension by the Motivating Language Theory by Sullivan (1988) and as an extension of this theory, the Motivating Language Scale developed by Mayfield, Mayfield and Kopf (1995) based on the former study closed in practical dimension. In this study, the scale developed by Mayfield, Mayfield and Kopf (1995) has been tested for its validity and reliability. As a result of analyses carried out, it has been determined that the scale has a high rate of validity and reliability. Therefore, it is assessed that this scale can contribute to empirical studies in the future.Liderlik ve iletişim yazını incelendiğinde, 1990’lı yıllara kadar, liderin kullandığı dil ve bu dilin içeriğine ait söz edimlerinin, bireysel ve örgütsel çıktılar üzerinde nasıl bir etki yarattığına ilişkin yeterli sayıda araştırma bulunmadığı gözlenmektedir. Sullivan (1988) tarafından geliştirilen Motivasyonel Dil Teorisi’nin yazındaki bu eksikliği gidermeye yönelik ilk kapsamlı çaba olduğu söylenebilir. Mayfield, Mayfield ve Kopf’un (1995) bu teoriyi temel alarak geliştirdikleri Motivasyonel Dil Ölçeği ise konu ile ilgili görgül araştırmaların önünü açmıştır. Bu çalışmada, Mayfield, Mayfield ve Kopf (1995) tarafından geliştirilen söz konusu ölçeğin Türkçe’deki geçerlilik ve güvenilirliliği sınanmıştır. Yapılan analizler neticesinde ölçeğin yüksek geçerlilik ve güvenilirliğe sahip olduğu belirlenmiştir. Motivasyonel Dil Ölçeğinin bundan sonra Türk örneklem üzerinde yapılacak görgül araştırmalara katkı sağlayacağı değerlendirilmektedir

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval

We study the ability of state-of-the art models to answer constraint satisfaction queries for information retrieval (e.g., 'a list of ice cream shops in San Diego'). In the past, such queries were considered to be tasks that could only be solved via web-search or knowledge bases. More recently, large language models (LLMs) have demonstrated initial emergent abilities in this task. However, many current retrieval benchmarks are either saturated or do not measure constraint satisfaction. Motivated by rising concerns around factual incorrectness and hallucinations of LLMs, we present KITAB, a new dataset for measuring constraint satisfaction abilities of language models. KITAB consists of book-related data across more than 600 authors and 13,000 queries, and also offers an associated dynamic data collection and constraint verification approach for acquiring similar test data for other authors. Our extended experiments on GPT4 and GPT3.5 characterize and decouple common failure modes across dimensions such as information popularity, constraint types, and context availability. Results show that in the absence of context, models exhibit severe limitations as measured by irrelevant information, factual errors, and incompleteness, many of which exacerbate as information popularity decreases. While context availability mitigates irrelevant information, it is not helpful for satisfying constraints, identifying fundamental barriers to constraint satisfaction. We open source our contributions to foster further research on improving constraint satisfaction abilities of future models.Comment: 23 page