4,701 research outputs found

    Principles of generalization for sensorimotor cerebellar learning

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    Principles of generalization for sensorimotor cerebellar learning

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    Improving attendance in secondary schools

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    An In-Depth Analysis on Efficiency and Vulnerabilities on a Cloud-Based Searchable Symmetric Encryption Solution

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    Searchable Symmetric Encryption (SSE) has come to be as an integral cryptographic approach in a world where digital privacy is essential. The capacity to search through encrypted data whilst maintaining its integrity meets the most important demand for security and confidentiality in a society that is increasingly dependent on cloud-based services and data storage. SSE offers efficient processing of queries over encrypted datasets, allowing entities to comply with data privacy rules while preserving database usability. Our research goes into this need, concentrating on the development and thorough testing of an SSE system based on Curtmola’s architecture and employing Advanced Encryption Standard (AES) in Cypher Block Chaining (CBC) mode. A primary goal of the research is to conduct a thorough evaluation of the security and performance of the system. In order to assess search performance, a variety of database settings were extensively tested, and the system's security was tested by simulating intricate threat scenarios such as count attacks and leakage abuse. The efficiency of operation and cryptographic robustness of the SSE system are critically examined by these reviews

    Development of variable and robust brain wiring patterns in the fly visual system

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    Precise generation of synapse-specific neuronal connections are crucial for establishing a robust and functional brain. Neuronal wiring patterns emerge from proper spatiotemporal regulation of axon branching and synapse formation during development. Several neuropsychiatric and neurodevelopmental disorders exhibit defects in neuronal wiring owing to synapse loss and/or dys-regulated axon branching. Despite decades of research, how the two inter-dependent cellular processes: axon branching and synaptogenesis are coupled locally in the presynaptic arborizations is still unclear. In my doctoral work, I investigated the possible role of EGF receptor (EGFR) activity in coregulating axon branching and synapse formation in a spatiotemporally restricted fashion, locally in the medulla innervating Dorsal Cluster Neuron (M- DCN)/LC14 axon terminals. In this work I have explored how genetically encoded EGFR randomly recycles in the axon branch terminals, thus creating an asymmetric, non-deterministic distribution pattern. Asymmetric EGFR activity in the branches acts as a permissive signal for axon branch pruning. I observed that the M-DCN branches which stochastically becomes EGFR ‘+’ during development are synaptogenic, which means they can recruit synaptic machineries like Syd1 and Bruchpilot (Brp). My work showed that EGFR activity has a dual role in establishing proper M-DCN wiring; first in regulating primary branch consolidation possibly via actin regulation prior to synaptogenesis. Later in maintaining/protecting the levels of late Active Zone (AZ) protein Brp in the presynaptic branches by suppressing basal autophagy level during synaptogenesis. When M-DCNs lack optimal EGFR activity, the basal autophagy level increases resulting in loss of Brp marked synapses which is causal to increased exploratory branches and post-synaptic target loss. Lack of EGFR activity affects the M-DCN wiring pattern that makes adult flies more active and behave like obsessive compulsive in object fixation assay. In the second part of my doctoral work, I have asked how non-genetic factors like developmental temperature affects adult brain wiring. To test that, I increased or decreased rearing temperature which is known to inversely affect pupal developmental rate. We asked if all the noisy cellular processes of neuronal assembly: filopodial dynamics, axon branching, synapse formation and postsynaptic connections scale up or down accordingly. I observed that indeed all the cellular processes slow down at lower developmental temperature and vice versa, which changes the DCN wiring pattern accordingly. Interestingly, behavior of flies adapts to their developmental temperature, performing best at the temperature they have been raised at. This shows that optimal brain function is an adaptation of robust brain wiring patterns which are specified by noisy developmental processes. In conclusion, my doctoral work helps us better understand the developmental regulation of axon branching and synapse formation for establishing precise brain wiring pattern. We need all the cell intrinsic developmental processes to be highly regulated in space and time. It is infact a combinatorial effect of such stochastic processes and external factors that contribute to the final outcome, a functional and robust adult brain

    LIPIcs, Volume 251, ITCS 2023, Complete Volume

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    LIPIcs, Volume 251, ITCS 2023, Complete Volum

    What informs a firm’s Attractiveness as an Alliance Partner? The development of a survey instrument.

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    Strategic alliances are defined as inter-organisational collaborative arrangements whose purpose is to achieve the strategic targets of partners (Das and Teng, 1998). Within the pharmaceutical industry, they represent a key form of disintegration that enables organisations to create a network based on partnerships, whereby the overarching goal is to pursue a set of agreed-upon goals, in which they share the benefits (Chen and Chen, 2002). Despite the high prevalence of strategic alliances within this industry, only 50% are considered stable or achieve performance perceived by the partners as satisfactory (McCutchen et al., 2008) and up to 70% terminate early (Kogut, 1989; Park and Russo, 1996; Park and Ungson, 1997). Nevertheless, 85% of the senior executives still believe alliances are and will continue to be essential or important to their business (Powerlinx, 2014), and as such have invested significantly in becoming attractive alliance partners, or partner of choice. Further, both conceptual and empirical evidence has signaled that a partner’s attractiveness can have significant contribution to the success of the alliance itself (Coombs and Deeds, 2000; Lee, 2007). Despite this evidence, there is no validated approach for a firm to test how attractive they are perceived to be by prospective partners. Without this, a firm is not able to tangibly understand what their perceived strengths and weaknesses are, and how these evolve over time. The purpose of this research is to address this gap. Further, the research aims to understand the impact of firm’s Alliance Strategy on their attractiveness scores. As such, this research makes three overarching and significant contributions; (1) the identification of two key antecedents of a firm’s Attractiveness as an Alliance Partner (2) the development of a self-assessment questionnaire for a firm to use in order to quantify their attractiveness, and (3) the development of research propositions for how an Alliance Strategy moderates the relationship between Attractiveness and its antecedents. This research applies Network Theory, which, in its most simple terms, refers to a firm’s relationships with others that have important and desired resources (Ireland et al., 2002). Networks promote alliance formation and firm success through ‘social capital’, described as the benefits a firm derives from their relationships (Coleman, 1988). Social capital increases in alliances with greater diversity within their networks (Baker, 2000) and with the quality of the alliances themselves (Glaister and Buckley, 1999). As such, this theory plays a key part in explaining the identified antecedents of Attractiveness - Previous Alliance Performance and Alliance Portfolio Diversity. In turn, this research extends Network Theory in two ways. Firstly, by introducing the novel concept of Attractiveness as an Alliance Partner as an indicator of a firm’s success or performance. Secondly, by introducing the novel concept of an Alliance Strategy as an important condition that will moderate a firm’s attractiveness. A mixed method approach has been used, comprising of four Empirical Studies in order to develop and finalise the research propositions and questionnaire. This research has been conducted within and for the pharmaceutical industry specifically but can be applied to other industries

    Towards Semantically Enriched Embeddings for Knowledge Graph Completion

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    Embedding based Knowledge Graph (KG) Completion has gained much attention over the past few years. Most of the current algorithms consider a KG as a multidirectional labeled graph and lack the ability to capture the semantics underlying the schematic information. In a separate development, a vast amount of information has been captured within the Large Language Models (LLMs) which has revolutionized the field of Artificial Intelligence. KGs could benefit from these LLMs and vice versa. This vision paper discusses the existing algorithms for KG completion based on the variations for generating KG embeddings. It starts with discussing various KG completion algorithms such as transductive and inductive link prediction and entity type prediction algorithms. It then moves on to the algorithms utilizing type information within the KGs, LLMs, and finally to algorithms capturing the semantics represented in different description logic axioms. We conclude the paper with a critical reflection on the current state of work in the community and give recommendations for future directions
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