1,721,644 research outputs found
Respiratory infections in children 0-5 years - A guidebook for nursing students
Full text linkThe most common respiratory infections included in this thesis were the common cold, influenza, pharyngitis, laryngitis, epiglottitis, pneumonia, bronchiolitis, obstructive bronchitis, and ear infection (otitis media). Most of the infections included are very common which might affect children 2-3 times a year under 5 years. There are many respiratory infections which might affect children, but the infections were found in most of the research done by authors which strengthens the reliability of the sources.
In nursing studies both theory and placement are equally important. As a registered nurse, nurses can work in different health sectors and pediatric nursing is one of them. Pediatric environment can be both rewarding and challenging as mentioned in this topic 0-5 years children cannot express their feelings. It is necessary to have basic knowledge about the infections while going to placement.
The purpose of this thesis was to provide a guidebook for the nursing students, which describes children’s most common infections in the upper and lower respiratory tract. The aim was to help the nursing students to deepen their knowledge and to make them familiar with the respiratory infectious diseases in children aged 0-5 years. The authors used a co-creation method for guidebook development by sharing ideas with the authors peer group and focus group method is used for the data collection, guidebook evaluation and improvement of the thesis writing process and guidebook.
The guidebook was produced in English language for nursing students who have not been in paediatric placement. The guidebook was created based on the theoretical framework of the thesis. The guidebook includes introductory words, common symptoms, home treatment, and when to seek treatment. The guidebook was provided to the school in PDF and Word format as requested by the thesis supervisors and is attached as a PDF format in this thesis.
The guidebook could be beneficial to other students, new nurses, and parents if it is further forwarded to the hospital
Security in South Asia
No full textIntroduction to The Round Table, Volume 108, Issue 2 - Security in South Asia. Guest editors Aakriti Tandon and Michael O. Slobodchikoff
Rescuing the Right Ventricle
No full textRescuing the Right Ventricle. Dr. Aakriti Jain, IMRP R2, Rochester General Hospital; Dr. Elizabeth Lee, Cardiology Department, Rochester General Hospital.
Objectives: Understanding physiology of right ventricle (RV) Identification of RV myocardial infarction and acute RV failure Assessment of RB function Management options for acute RV failur
In Russo-Ukraine War, India is between a rock and a hard place
No full textThe Russo-Ukrainian war has drawn a surprisingly subdued response from India despite its habitual support of international law and institutions. Aakriti Tandon and Michael O. Slobodchikoff, authors of the forthcoming India as Kingmaker, analyse the institutionalised cooperation between India and Russia vs the ad hoc cooperation between India and the United States to explain why
Reasoning beyond scale: Structured inference for small language models
No full textSubmission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01The student, - Aakriti, accepted the attached license on 2025-04-20 at 11:03.The student, - Aakriti, submitted this Thesis for approval on 2025-04-20 at 11:11.This Thesis was approved for publication on 2025-04-20 at 15:55.DSpace SAF Submission Ingestion Package generated from Vireo submission #21848 on 2025-10-19 at 19:15:11Recent progress in large language models (LLMs), such as GPT-4 [1], PaLM [2], and LLaMA [3], has substantially advanced the field of natural language processing (NLP), particularly in tasks requiring reasoning, such as multi-hop question answering (QA) and claim verification [4, 5]. Despite these achievements, such models require significant computational and financial resources, limiting their real-world accessibility [6, 7]. This has motivated a growing interest in small language models (SLMs), typically with fewer than 8 billion parameters, which offer more efficient alternatives. However, SLMs face major challenges when performing complex reasoning under long-context and distractor-rich scenarios, often exhibiting difficulties with factual consistency and multi-step inference [8, 9, 10]. This thesis investigates multi-hop reasoning in small models through the lens of structured knowledge integration, focusing on whether small models can remain grounded in relevant context while avoiding hallucination and distractor interference. Multi-hop reasoning requires the model to chain together intermediate facts and establish logical links across multiple documents or sentences [11]. A key question explored is whether explicit knowledge representations, such as knowledge graphs (KGs), can act as a scaffold to improve logical consistency, contextual grounding, and interpretability in reasoning tasks. The study further examines how SLMs manage cross-document coreference, semantic role tracking, and inference reliability when guided by structured signals. This thesis attempts to identify the linguistic and representational bottlenecks that hinder SLMs from attaining robust reasoning, going beyond surface-level performance. It analyzes the conditions under which models succeed or fail to maintain coherence across reasoning chains, particularly when processing lengthy, noisy input. The thesis also explores how models respond to adversarial distractors and the extent to which structured inputs reduce hallucination rates [12, 13]. Overall, the research contributes to a broader understanding of how reasoning, factuality, and context grounding can be enabled in models – an essential step toward deploying capable and trustworthy NLP systems in real-world environments
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
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