Detection and Forecasting of Parkinson Disease Progression from Speech Signal Features Using Multi-Layer Perceptron and LSTM

Accurate diagnosis of Parkinson disease, especially in its early stages, can be a challenging task. The application of machine learning techniques help improve the diagnostic accuracy of Parkinson’s disease progression. In this research work, two well-known feature selection methods (Relief-F and Sequential Forward Selection) were employed to identify the diagnostic features of audio signals of Parkinson disease patients and were used to train Multi-Layer Perceptron (MLP) and recurrent neural network Long Short-Term Memory(LSTM) for detection of disease and prediction of its progression. The MLP accurately detected Parkinson disease stages whereas LSTM successfully predicted Parkinson Stage 2 and 3

Comparative study to evaluate the effect of colloid coloading versus crystalloid coloading for prevention of spinal anaesthesia induced hypotension and effect on fetal Apgar score in patients undergoing elective lower segment caesarean section: a prospective observational study

Background: Spinal anesthesia for LSCS has a high incidence of maternal hypotension which can be severe and disastrous for the fetus and the mother. Coloading in these patients is a physiologically more appropriate method for preventing spinal anesthesia induced hypotension.Methods: 100 ASA I patients for elective LSCS were randomly divided into two equal groups to either receive 1000ml colloid (6% Hetastarch) or 1000ml crystalloids (Ringer lactate) as coload. NIBP, heart rate SPO2 and incidence of nausea and vomiting and use of ephedrine to treat any hypotension was recorded. Fetal outcome was measured using APGAR score at 0, 1 and 5 minutes.Results: The incidence of hypotension was lesser with colloid coload group (41.7%) as compared to the crystalloid coload group (58.3%) but the difference between the two groups was statistically insignificant. Similarly, no statistically significant difference was noted in the incidence of nausea and vomiting and Fetal APGAR score between the two groups.Conclusions: Both Colloid and Crystalloid coloading is effective in decreasing the incidence of spinal anesthesia induced hypotension during LSCS with lesser incidence of hypotension and nausea vomiting with colloid coloading

Data Resource Profile: Understanding the patterns and determinants of health in South Asians-the South Asia Biobank.

Funder: Singapore Ministry of Health's National Medical Research CouncilFunder: National Institute for Health ResearchFunder: Wellcome Trust or the Department of HealthFunder: NIHR Biomedical Research Centre Cambridge: Nutrition, Diet, and Lifestyle Research Theme; Grant(s): IS-BRC-1215-2001

Comprehensive Study of Textual Processing and Proposed Automatic Essay Evaluation System

From last 50 years the work has been conducted on building such systems that can have capabilities by which it can evaluate or check like a human tutor or even better than a human tutor, this is the goal of Automatic Essay Evaluation System. Grading essays is one of the most tedious and time-consuming task, subjectivity of topic, bias nature of human grader are also key points which affect the process of assessing, this becomes initial motivation for advancing the method of assessment resulting human written essays are now assessed by humans and also by computer system Automatic Essay Evaluation System. In this paper a detailed study is conducted on AEE systems and its building approaches such as text mining and text processing for the purpose to bring the exposure to this research field as technology upgrades, it has become more commercialized raising to the most important problem in the development of AEE system, the lack of its exposer. This paper also addresses our approach replicating all possible qualities of existing AEE system for the students and teachers of Pakistan

Dataset construction to detect human behavior with the help of emotions, sentiments and mood for Roman Urdu

Roman Urdu and English are often used together as a hybrid language for communication on social media. Because writers don't worry about spelling when utilizing the English alphabet to write Urdu during texting, it becomes challenging to interpret mixed codes for emotions. There are over 14,000 emotion lexicons in this dataset, each of which lists nine different emotions and their polarities. The NRC emotion lexicons [8] provided in Urdu have been transliterated into Roman Urdu. To verify that the provided translation is accurate, we used three online dictionaries of Urdu. A Python script that transliterates words from Urdu to Roman Urdu has been used to develop Roman Urdu transliteration. Sentiment and mood, depending on the emotion lexicon, are also provided. The textual data has been annotated using the unigram feature and distance estimation among strings and lexicons. Approximately 10,000 sentences from the baseline sample have been automatically annotated

A Review on Cloud Computing Threats, Security and Possible Solutions

Cloud computing is increasingly popular, with major companies like Microsoft, Google, and Amazon creating expansive cloud environments to support vast user bases. Despite its benefits, security remains a significant concern, complicating full trust in cloud solutions due to potential hazards and the consequences of security breaches. This study introduces a novel approach to address the gaps in existing frameworks for summarizing and analyzing cloud security issues and requirements. We explored various cloud computing security challenges, assessed the impact of different cloud models, and discussed risk mitigation techniques and policies for both cloud providers and users. Our analysis offers a comprehensive examination of security risks affecting cloud computing, alongside the latest security solutions. Rather than focusing solely on specific issues, we presented a broader perspective on advanced, high-level security frameworks. We outlined multiple strategies for developing a secure, reliable, and cost-effective cloud infrastructure