1,721,039 research outputs found

    A critical analysis of Persian Poetry of Shah Turab Ali Qalandar

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    <p>volume = {1}, number = {1}, author = {Zunnoorain Haider Alavi}, title = {A critical analysis of Persian Poetry of Shah Turab Ali Qalandar}, publisher = {Saurabh Chandra}, journal = {SOCRATES}, ISSN 2347-6869 year = {2013}</p

    A critical analysis of Persian Poetry of Shah Turab Ali Qalandar

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    A critical analysis of Persian Poetry of Shah Turab Ali Qalanda

    Poliakrilamit jellerde bakır(II) kromat liesegang desenlerinin oluşumunda sıcaklığın etkisi

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    Cataloged from PDF version of article.Includes bibliographical references. (leaves 58-61).Liesegang patterns (LPs) are a subclass of periodic precipitation patterns that result in a reaction-diffusion (RD) without convection. Since their discovery, LPs have been studied to understand the effect of different parameters such as electric field, magnetic field, or concentration of ions/ gels and to elucidate the mechanism of pattern formation. LPs are visual "complex sums" of the chemical reactions forming the patterns, the diffusion of the chemicals, and the physical changes in the reaction environment. Different physical environments produce different patterns and therefore the patterns formed can be used to „sense‟ the physical environment, in which the patterns are formed – if the changing physical parameter of the environment is previously linked to the various patterns forming under these conditions. In this study, we aim to achieve an LP system (CuCl2(outer electrolyte)/K2CrO4(inner electrolyte) in polyacrylamide gel) that senses temperature by monitoring concurrent pattern formation. First, we illustrate the visual differences in LPs occurring at different temperatures. We unveil the changes in the diffusion of ions, the reaction rate, and the precipitation threshold inside the gel media for LP forming at different temperatures. LP's behaviors under different temperature ramp conditions leading to a difference in pattern evolution in terms of spacing, width, and time laws are shown. Finally, we show that temperature provides a degree of freedom towards material design through RD.by Muhammad Turab Ali Kha

    Enhanced Network Intrusion Detection System for Internet of Things Security Using Multimodal Big Data Representation with Transfer Learning and Game Theory

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    Internet of Things (IoT) applications and resources are highly vulnerable to flood attacks, including Distributed Denial of Service (DDoS) attacks. These attacks overwhelm the targeted device with numerous network packets, making its resources inaccessible to authorized users. Such attacks may comprise attack references, attack types, sub-categories, host information, malicious scripts, etc. These details assist security professionals in identifying weaknesses, tailoring defense measures, and responding rapidly to possible threats, thereby improving the overall security posture of IoT devices. Developing an intelligent Intrusion Detection System (IDS) is highly complex due to its numerous network features. This study presents an improved IDS for IoT security that employs multimodal big data representation and transfer learning. First, the Packet Capture (PCAP) files are crawled to retrieve the necessary attacks and bytes. Second, Spark-based big data optimization algorithms handle huge volumes of data. Second, a transfer learning approach such as word2vec retrieves semantically-based observed features. Third, an algorithm is developed to convert network bytes into images, and texture features are extracted by configuring an attention-based Residual Network (ResNet). Finally, the trained text and texture features are combined and used as multimodal features to classify various attacks. The proposed method is thoroughly evaluated on three widely used IoT-based datasets: CIC-IoT 2022, CIC-IoT 2023, and Edge-IIoT. The proposed method achieves excellent classification performance, with an accuracy of 98.2%. In addition, we present a game theory-based process to validate the proposed approach formally

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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