37 research outputs found
Retinopathy among type 2 diabetic patients seen at a tertiary hospital in Nigeria: a preliminary report
No full textAdeyinka Ashaye1, Ayodeji Arije2, Modupe Kuti3, Bolutife Olusanya1, Ezekiel Ayeni1, Adesoji Fasanmade4, Kehinde Akinlade3, Millicent Obajimi5, Jokotade Adeleye41Ophthalmology Department, College of Medicine, University of Ibadan, Nigeria; 2Renal Unit, Department of Medicine, College of Medicine, University of Ibadan, Nigeria; 3Department of Chemical Pathology, College of Medicine, University of Ibadan, Nigeria; 4Endocrine Unit, Department of Medicine, College of Medicine, University of Ibadan, Nigeria; 5Radiology Department, College of Medicine, University of Ibadan, NigeriaObjective: To determine the prevalence of diabetic retinopathy among patients attending the diabetic clinics of a tertiary hospital in Nigeria.Methodology: We examined the eyes of 76 patients with type 2 diabetes mellitus between July 2003 and January 2004 using dilated fundoscopy at the eye clinic of the University College Hospital, Ibadan. The results were compared with published figures.Results: Mean age of patients was 57.5 ± 10.4 years. Thirty–two patients (42.1%) had diabetic retinopathy. Of these, one patient had features of proliferative diabetic retinopathy while the other patients had non-proliferative diabetic retinopathy. Majority (53.1%) of those who had retinopathy had diabetes for more than 10 years, while 21.4% of patients without retinopathy had diabetes for more than 10 years (p = 0.005). The mean serial post-prandial plasma glucose of those who had retinopathy was higher when compared with the mean for those who did not have retinopathy (248.7 mg/dl vs 178.3 mg/dl; p = 0.003).Conclusion: The prevalence of diabetic retinopathy in our patients is higher than was previously reported in earlier studies. Patients with diabetes ought to be referred for ophthalmological evaluation and follow-up which they should be actively encouraged to attend.Keywords: diabetic retinopathy, tertiary hospital patients, African
How Gaussian mixture modelling can help to verify reference intervals from laboratory data with a high proportion of pathological values
No full textAlthough there are several indirect methods that can be used to verify reference limits, they have a common weakness in that they assume a low proportion of pathological values. This paper investigates whether a Gaussian decomposition algorithm can identify the non-pathological fraction even if it is not the main subset of mixed data
A 12-month prospective study of intra-abdominal hypertension and abdominal compartment syndrome incidence and outcomes at a tertiary hospital in Nigeria
No full textBackground: Peritoneal sepsis is a life-threatening emergency, more so in the low- and middle-income countries (LMICs) where immediate hospital presentation for much needed urgent surgical care is the exception rather than the norm. Continued research into the multifactorial aetiopathogenesis responsible for the high level of morbidity and mortality is necessary. We aimed to determine the incidence of intra-abdominal hypertension (IAH) and abdominal compartment syndrome (ACS) in patients presenting with generalized peritonitis in a tertiary hospital in Nigeria. Methods: We conducted a prospective study involving recruitment of consenting patients managed for generalized peritonitis over 12 months. Results: Fifty-seven consenting and appropriate patients were recruited over the course of the study and managed as per study protocol. The duration of symptoms ranged between 11 hours and 7 days. All patients had varying degrees of IAH and ACS at presentation with generalized peritonitis. A laparotomy with definitive surgery was done in 51 patients (89%), with 6 patients (11%) having only a bedside peritoneal drain inserted for decompression. Significant improvement of the respiratory rate (P < 0.001), oxygen saturation (P = 0.041), and urinary output (P = 0.021) only occurred after decompression by laparotomy or tube drainage. The consecutive mean ± standard deviation (SD) intra-abdominal pressures measured, respectively, at presentation, immediately postsurgery, then postoperatively at 6 h, 24 h, and 72 h reflected significant improvement at each point (respectively in cmH2O: 11.4 ± 6.03, 6.58 ± 5.58, 5.78 ± 3.29, 4.73 ± 2.86, 6.72 ± 5.18; P < 0.001). Conclusions: IAH and ACS are not uncommon in our setting, and ACS at presentation is a significant predictor of mortality in patients with peritoneal sepsis. Surgical decompression invariably leads to an improvement in all clinical variables investigated. Keywords: intra-abdominal hypertension; abdominal compartment syndrome; peritonitis; laparotomy; percutaneous catheter decompression; Nigeria
Tumor necrosis factor-alpha and interleukin-1 alpha as predictors of survival in peritonitis: A pilot study
No full textContext: Peritonitis induces an inflammatory response characterized by the elevation of various cytokine levels. Included in this cascade of cytokines are tumor necrosis factor-alpha (TNF-α) and interleukin-1 alpha (IL-1α). The outcome of patient care may be associated with the pattern of elaboration of these cytokines. Aim: The aim of this study was to describe the pattern of cytokine response (TNF-α and IL-1α) in the course of peritonitis and evaluate them as predictors of mortality in peritonitis. Setting and Design: This was a prospective study conducted in the Division of Gastrointestinal Surgery, University College Hospital, Ibadan. Methods: Consenting patients with clinical diagnosis of generalized peritonitis over a 6-month period (July to December 2015) were recruited. The serum samples of these patients were obtained at presentation, immediately after surgery, and 24 h and 48 h after surgery with a follow-up period of 30 days. Results: Twenty-six samples out of thirty could be analyzed. Serum TNF-α and IL-1α levels were both elevated at presentation in all patients. However, the patterns of change after intervention varied between the survivors and nonsurvivors. Conclusion: Peritonitis triggers a simultaneous increase in serum levels of TNFα and IL-1α. Lower serum level of TNF-α is associated with survival, while on the contrary, higher level of IL-1α is associated with survival
A study of the stylistic markers of the language of cartoons in Nigeria
No full textThis paper discusses the stylistic characteristics of the language of cartoons in some Nigerian newspapers. The analysis focuses on printing styles, stylistic registers, and textual features. The author concludes that the informal style (exemplified by the occurrence of Pidgin English, colloquial forms, loan blends, ellipsis, and telegraphic sentences) characterizes the language of the cartoons. Thus, cartoonists use language as an artistic medium in which various options of language are explored for effective communication
Making a case for an interdisciplinary approach to water education towards sustainable development
No full textTraditional engineering education has focused on design principles and the integrity of products. It includes the designs for water supply and sanitation systems, water resources management, hydraulic structures, to name a few. However, this approach has led to a gap in design and implementation, leading to challenges in product uptake and sustainability. Water is central to several Sustainable Development Goals (SDGs), creating a web between the technical, environmental, social, financial, policy, and governance subsectors. Water engineers are critical to attaining the SDG goals; therefore, they must be trained to acquire the skills required for the task. For example, the WASH humanitarian sector has reiterated that the lack of the right expertise has been a bane to the delivery of interventions. Sustainable water projects must incorporate techno-centric, eco-centric, and Socio-centric concerns. A redirection of the water syllabus to include all the necessary aspects is the step towards transferring and acquiring the required skills. Content review is critical when water education sits within a civil engineering program. This paper presents calls for interdisciplinary engineering education from literature. It highlights the benefits of interdisciplinary water engineering education. The paper also provides approaches taken by the author to design and deliver interdisciplinary water modules and feedback from the students on each of the approaches. Overall, advocates for educators, universities, and training institutes to produce graduates who understand water engineers' dependence on other sectors for successful and more-sustainable solutions for society
Delivering modern, high-quality, affordable pathology and laboratory medicine to low-income and middle-income countries: a call to action
No full textModern, affordable pathology and laboratory medicine (PALM) systems are essential to achieve the 2030 Sustainable Development Goals for health in low-income and middle-income countries (LMICs). In this last in a Series of three papers about PALM in LMICs, we discuss the policy environment and emphasise three crucial high-level actions that are needed to deliver universal health coverage. First, nations need national strategic laboratory plans; second, these plans require adequate financing for implementation; and last, pathologists themselves need to take on leadership roles to advocate for the centrality of PALM to achieve the Sustainable Development Goals for health. The national strategic laboratory plan should deliver a tiered, networked laboratory system as a central element. Appropriate financing should be provided, at a level of at least 4% of health expenditure. Financing of new technologies such as molecular diagnostics is challenging for LMICs, even though many of these tests are cost-effective. Point-of-care testing can substantially reduce test-reporting time, but this benefit must be balanced with higher costs. Our research analysis highlights a considerable deficiency in advocacy for PALM; pathologists have been invisible in national and international health discourse and leadership. Embedding PALM in LMICs can only be achieved if pathologists advocate for these services, and undertake leadership roles, both nationally and internationally. We articulate eight key recommendations to address the current barriers identified in this Series and issue a call to action for all stakeholders to come together in a global alliance to ensure the effective provision of PALM services in resource-limited settings.</p
Regularized Deep Neural Network for Post-Authorship Attribution
No full textA thesis submitted to the Faculty of Science, in fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science, School of Science, University of the Witwatersrand, Johannesburg, 2024Post-authorship attribution is the computational process of determining the legitimate author of an online text snippet, such as an email, blog, forum post, or chat log, by employing stylometric features. The process consists of analysing various linguistic and writing patterns, such as vocabulary, sentence structure, punctuation usage, and even the use of specific words or phrases. By comparing these features to a known set of writing pieces from potential authors, investigators can make educated hypotheses about the true authorship of a text snippet. Additionally, post-authorship attribution has applications in fields like forensic linguistics and cybersecurity, where determining the source of a text can be crucial for investigations or identifying potential threats. Furthermore, in a verification procedure to proactively uncover misogynistic, misandrist, xenophobic, and abusive posts on the internet or social networks, finding a suitable text representation to adequately symbolise and capture an author’s distinctive writing from a computational linguistics perspective is typically known as a stylometric analysis. Additionally, most of the posts on social media or online are generally rife with ambiguous terminologies that could potentially compromise and influence the precision of the early proposed authorship attribution model. The majority of extracted stylistic elements in words are idioms, onomatopoeias, homophones, phonemes, synonyms, acronyms, anaphora, and polysemy, which are fundamentally difficult to interpret by most existing natural language processing (NLP) systems. These difficulties make it difficult to correctly identify the true author of a given text. Therefore, further advancements in NLP systems are necessary to effectively handle these complex linguistic elements and improve the accuracy of authorship attribution models.
In this thesis, we introduce a regularised deep neural network (RDNN) model to solve the challenges that come with figuring out who wrote what after the fact. The proposed method utilises a convolutional neural network, a bidirectional long short-term memory encoder, and a distributed highway network to effectively address the post-authorship attribution problem. The neural network was utilised to generate lexical stylometric features, which were then fed into the bidirectional encoder to produce a syntactic feature vector representation. The feature vector was then fed into the distributed high-speed networks for regularisation to reduce network generalisation errors. The regularised feature vector was then given to the bidirectional decoder to learn the author’s writing style. The feature classification layer is made up of a fully connected network and a SoftMax function for prediction. The RDNN method outperformed the existing state-of-the-art methods in terms of accuracy, precision, and recall on the majority of the benchmark datasets. These results highlight the potential of the proposed method to significantly improve classification performance in various domains. Again, the introduction of an interactive system to visualise the performance of the proposed method would further enhance its usability and effectiveness in quantifying the contribution of the author’s writing characteristics in both online text snippets and literary documents. It is useful in processing the evidence that is needed to support claims or draw conclusions about the author’s writing style or intent during the pre-trial investigation by the law enforcement agent in the court of law. The incorporation of this method into the pretrial stage greatly
strengthens the credibility and validity of the findings presented in court and has the potential to revolutionise the field of authorship attribution and enhance the accuracy of forensic investigations. Furthermore, it ensures a fair and just legal process for all parties involved by providing concrete evidence to support or challenge claims.
We are also aware of the limitations of the proposed methods and recognise the need for additional research to overcome these constraints and improve the overall reliability and applicability of post-authorship attribution of online text snippets and literary documents for forensic investigations. Even though the proposed methods have revealed some unusual differences in author writing style, such as how influential writers, regular people, and suspected authors use language, the evidence from the results with the features extracted from the texts has shown promise for identifying authorship patterns and aiding in forensic analyses. However, much work remains to be done to validate the methodologies’ usefulness and dependability as effective authorship attribution procedures. Further research is needed to determine the extent to which external factors, such as the context in which the text was written or the author’s emotional state, may impact the identified authorship patterns. Additionally, it is crucial to establish a comprehensive dataset that includes a diverse range of authors and writing styles to ensure the generalizability of the findings and enhance the reliability of forensic analyses.
Furthermore, the dataset used in this thesis does not include a diverse variety of authors and writing styles, such as impostors attempting to impersonate another author, which limits the generalizability of the conclusions and undermines the credibility of forensic analysis. More studies can be conducted to broaden the proposed strategy for detecting and distinguishing impostors’ writing styles from those of authentic authors when committing crimes on both online and literary documents. It is conceivable for numerous criminals to collaborate to perpetrate a crime, which could aid in improving the proposed methods for detecting the
existence of multiple impostors or the contribution of each criminal writing style based on the person or individual they are attempting to mimic. The likelihood of numerous offenders working together complicates the investigation and necessitates advanced procedures for identifying their individual contributions, as well as both authentic and manufactured impostor contents within the text. This is especially difficult on social media, where fake accounts and anonymous profiles can make it difficult to determine the true identity of those involved, which can come from a variety of sources, including text, WhatsApps, chat images, videos, and
so on, and can lead to the spread of misinformation and manipulation. As a result, promoting a hybrid approach that goes beyond text as evidence could help address some of the concerns raised above. For example, integrating audio and visual data may provide a more complete perspective of the scenario. As a result, such an approach exacerbates the restrictions indicated in the distribution of data and may necessitate more storage and analytical resources. However, it can also lead to a more accurate and nuanced analysis of the situationMM202
It's Good to Be the King
No full textEpidemiological and animal studies often find that higher social status is associated with better physical health outcomes, but these findings are by design correlational and lack mediational explanations. In two studies, we examine neurobiological reactivity to test the hypothesis that higher social status leads to salutary short-term psychological, physiological, and behavioral responses. In Study 1, we measured police officers' subjective social status and had them engage in a stressful task during which we measured cardiovascular and neuroendocrine reactivity. In Study 2, we manipulated social status and examined physiological reactivity and performance outcomes to explore links among status, performance, and physiological reactivity. Results indicated that higher social status (whether measured or manipulated) was associated with approach-oriented physiology (Studies 1 and 2) and better performance (Study 2) relative to lower status. These findings point to acute reactivity as one possible causal mechanism to better physical health among those higher in social status. © The Author(s) 2013
