44 research outputs found
Cross genre author profilling using syntactic N-Grams
No full textTesis (Maestría en Ciencias de la Computación), Instituto Politécnico Nacional, CIC, 2017, 1 archivo PDF, (95 páginas). tesis.ipn.m
Qur'anic Citations in Karen Armstrong's "Muhammad: A Prophet for Our Time"
No full textKaren Armstrong is one of the leading orientalists interested in the study of Islam. She has published two books on the biography of the Prophet Muhammad (PBUH). One of them is titled "Muhammad: The Prophet of Our Time". In this book, the author has presented a number of discussions in a narrative and analytical manner on various aspects of the life of the Prophet Muhammad (PBUH). At some points, Karen has provided answers to the objections of non-Muslim writers regarding prophetic role of the Prophet Muhammad (PBUH), however, in many places, she has maintained the continuity of the Orientalist narrative. In her book, she has presented some verses of the Holy Quran as evidence to raise doubts and suspicions regarding the personality of the Prophet Muhammad (PBUH), his character, his companions and wives, and has tried to prove that the doubts she has presented are based on Quranic verses. When an ordinary reader reads this book, he may be confused by seeing a new narrative related to the Holy Quran and Prophet (PBUH) at the same time. Therefore, it is necessary to identify from an Islamic perspective those parts of Karen's book in which the objections are based on the Holy Quran. This article fulfills this need
Memory Study in The Danish Girl (2000) by David Ebershoff Through Voyant Text Mining Tools: A Digital Humanities (DH) Study: 1. Muhammad Awais 2. Adeel Khalid
No full textIn this digital era, the world has revolutionised its ways of extracting knowledge patterns based on diverse and large texts using a digital humanities (DH) approach and a range of digital text mining tools available to deconstruct and visualise literary texts. This paper attempts to explore the characters of the novel, ‘The Danish Girl’ by David Ebershoff, through the study of their individual or collective memories through Voyant, a text-mining digital tool for textual analysis. Analysis revealed knowledge patterns on memory in the text through the Voyant text mining tool, which recognizes repeating words and phrases and provides insights into the author\u27s language choices and how they relate to memory studies. It provided textual analysis and allowed data visualisation, collocations, and quantitative and qualitative analysis of the text. The study unveils the summary tool features of the overall corpus, cirrus, unique words, dense words, themes, and phrase tools using a digital humanities approach to text mining, underscoring the significance of digital tools in advancing our understanding of literature and memory
Retraction note: Assessment of Titanium Dioxide Nanoparticles (TiO2-NPs) Induced Hepatotoxicity and Ameliorative Effects of <em>Cinnamomum cassia</em> in Sprague-Dawley Rats (<em>Biological Trace Element Research</em>, (2018), 182, 1, (57-69), 10.1007/s12011-017-1074-3)
No full text\ua9 The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.The Editors-in-Chief have retracted this article after concerns were raised about data presented in Tables 2, 4, and 5 and error bars in Figs. 1, 2, 3, 12, 13, 14, and 15. The authors failed to provide raw data and evidence of ethical approval. The Editors-in-Chief therefore have lost confidence in the data presented in this article. Authors, Muhammad Shakeel, Farhat Jabeen, and Sadia Zafar do not agree to this retraction. Authors, Rehana Iqbal, Abdul Shakoor Chaudhry, Muhammad Ali, Muhammad Saleem Khan, Adeel Khalid, Samina Shabbir, and Muhammad Saleem Asghar have not responded to any correspondence from the editor/publisher about this retraction
Label-free electrochemical aptasensor for the detection of SARS-CoV-2 spike protein based on carbon cloth sputtered gold nanoparticles
No full textThe proliferation and transmission of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), or the (COVID-19) disease, has become a threat to worldwide biosecurity. Therefore, early diagnosis of COVID-19 is crucial to combat the ongoing infection spread. In this study we propose a flexible aptamer-based electrochemical sensor for the rapid, label-free detection of SARS-CoV-2 spike protein (SP). A platform made of a porous and flexible carbon cloth, coated with gold nanoparticles, to increase the conductivity and electrochemical performance of the material, was assembled with a thiol functionalized DNA aptamer via S–Au bonds, for the selective recognition of the SARS-CoV-2 SP. The various steps for the sensor preparation were followed by using scanning electron microscopy, cyclic voltammetry and differential pulse voltammetry (DPV). The proposed platform displayed good mechanical stability, revealing negligible changes on voltammetric responses to bending at various angles. Quantification of SARS-CoV-2 SP was performed by DPV and chronopotentiometry (CP), exploiting the changes of the electrical signals due the [Fe(CN)6]3-/4- redox probe, when SARS-CoV-2 SP binds to the aptamer immobilized on the electrode surface. Current density, in DPV, and square root of the transition time, in CP, varied linearly with the log[ SARS-CoV-2 SP], providing lower limits of detection (LOD) of 0.11 ng/mL and 37.8 ng/mL, respectively. The sensor displayed good selectivity, repeatability, and was tested in diluted human saliva, spiked with different SARS-CoV-2 SP concentrations, providing LODs of 0.167 ng/mL and 46.2 ng/mL for DPV and CP, respectively
Minding the IS Soft Skills Gap: Evidence of Discourse Convergence and Organizational Field Structure
No full textIS continually struggles with the ‘gap’ between academic preparation and industry needs. To close this gap, we need to better understand its causes. Recent IS research suggests that gaps may arise when issues receive attention in only practitioner or academic discourses. Institutionalism suggests that gaps can be attributed to the structure of the organizational field. We conduct two studies to investigate these rival explanations. In Study 1 we analyze the practitioner and academic discourses on the need for soft skills in IS. In Study 2 we identify important actors in the IS field and the degree to which they are tightly coupled as evidenced by linkages in their discourses. We then present a process model of the identification, development and assessment of requisite IS skills. We conclude that convergence between academic and practitioner discourses alone cannot close the gap between preparation and industry needs in a loosely coupled organizational field
Cross-Genre Author Profile Prediction Using Stylometry-Based Approach Notebook for PAN at CLEF 2016
No full textAbstract.Author profiling task aims to identify different traits of an author by analyzing his/her written text. This study presents a Stylometry-based approach for detection of author traits (gender and age) for cross-genre author profiles. In our proposed approach, we used different types of stylistic features including 7 lexical features, 16 syntactic features, 26 character-based features and 6 vocabulary richness (total 56 stylistic features). On the training corpus, the proposed approach obtained promising results with an accuracy of 0.787 for gender, 0.983 for age and 0.780 for both (jointly detecting age and gender). On the test corpus, proposed system gave an accuracy of 0.576 for gender, 0.371 for age and 0.256 for both
Revenue composition and financial health of nonprofit humanitarian and emergency health services
No full textPurposeEmergency health and humanitarian nonprofits work under volatile circumstances that strain nonprofits' financial resources. This study investigates the impact of revenue composition on the financial health of these nonprofits and the impact of financial health on the likelihood of financial distress.Design/methodology/approachA sample of 11,335 emergency nonprofits from 2003 to 2020 was obtained through form 990 data and studied through a difference generalized method of moments (GMM) approach for the impact of revenue composition on financial health. The impact of financial health on financial distress was studied through panel logistics regression.FindingsRevenue diversification adversely affects the financial health of nonprofit emergency health and humanitarian organizations contrary to the implications of modern portfolio theory. The financial health of nonprofit emergency health and humanitarian organizations is persistent through the significant positive effect of lags in most cases.Originality/valueThe emergency health subsector of nonprofits was studied separately due to the unique nature of the sectors' operations and operating environment. The impact of revenue composition was investigated on key dimensions of financial health. Omitted variable bias, simultaneity and dynamic endogeneity were handled through difference GMM
