Contemporary Affirmation of Machine Learning Models for Sensor Validation and Recommendations for Future research Directions

Wireless Sensor Networks (WSNs) are important and needed systems for the future as the notion "Internet of Things" has emerged lately. They're used for observation, tracking, or controlling of several uses in sector, health care, home, and military. Yet, the quality of info collected by sensor nodes is changed by anomalies that happen because of various grounds, including node failures, reading errors, unusual events, and malicious assaults. Thus, fault detection is a necessary procedure before it's used in making selections to make sure the quality of sensor information. A multitude of methods can be called multiple-changeable systems/agents. For example methods such as for example creating heating system, ventilation and air conditioner(HVAC) methods are changeable methods / agents . Multiple-changeable methods /agents such as for instance these commonly don't meet performance expectations imagined at design time. Such failings can be a result of a number of factors, for example difficulties due to improper installment, substandard maintenance, or products failure. These issues, or "faults," can comprise mechanical disappointments, management difficulties, design mistakes, and improper operator treatment

The Deep Meaning of Symbolism Significance in Men in the Sun

The novel of MEN IN THE SUN by Ghassan Kanafani reflects the Palestinian cause, the 1948 catastrophe and its impact on the Palestinian people through Palestinian men of different generations who tell their story in a wonderful symbolic way. The novelist reflected the issue through the characters, as each character in the novel symbolizes a certain personality of his people. The story is the story of three men who decide to emigrate from Palestine to Kuwait illegally for their desire to improve their living conditions. The novel ends with the death of the three men suffocating for fear of beating the walls of the tank. This study is an attempt to examine the symbolism in Men in the Sun and its significance and the deep meaning behind the literal meaning of these symbols. The study tries to examine the basic symbol of the story "the walls of the tank are not pounded", as these three men die suffocating in the tank, without any of them daring to knock the walls of the tank for help. The symbolism of the non-knocking of the walls indicates the legitimate cry of the Palestinian people conflict, who have suffered from displacement. Other symbols in the novel are also analyzed to show how the writer used them for artistic  and political purposes

A Machine Learning Classification Framework for Early Prediction of Alzheimer’s Disease

People today, in addition to their concerns about getting old and having to go through watching themselves grow weak and wrinkly, are facing an increasing fear of dementia. There are around 47 million people affected by dementia worldwide and the cost associated with providing them health and social care support is estimated to reach 2 trillion by 2030 which is almost equivalent to the 18th largest economy in the world. The most common form of dementia with the highest costs in health and social care is Alzheimer’s disease, which gradually kills neurons and causes patients to lose loving memories, the ability to recognise family members, childhood memories, and even the ability to follow simple instructions. Alzheimer’s disease is irreversible, unstoppable and has no known cure. Besides being a calamity to affected patients, it is a great financial burden on health providers. Health care providers also face a challenge in diagnosing the disease as current methods used to diagnose Alzheimer’s disease rely on manual evaluations of a patient’s medical history and mental examinations such as the Mini-Mental State Examination. These diagnostic methods often give a false diagnosis and were designed to identify Alzheimer’s after stage two when the part of all symptoms are evident. The problem is that clinicians are unable to stop or control the progress of Alzheimer’s disease, because of a lack of knowledge on the patterns that triggered the development of the disease. In this thesis, we explored and investigated Alzheimer’s disease from a computational perspective to uncover different risk factors and present a strategic framework called Early Prediction of Alzheimer’s Disease Framework (EPADf) that would give a future prediction of early-onset Alzheimer’s disease. Following extensive background research that resulted in the formalisation of the framework concept, prediction approaches, and the concept of ranking the risk factors based on clinical instinct, knowledge and experience using mathematical reasoning, we carried out experiments to get further insight and investigate the disease further using machine learning models. In this study, we used machine learning models and conducted two classification experiments for early prediction of Alzheimer’s disease, and one ranking experiment to rank its risk factors by importance. Besides these experiments, we also presented two logical approaches to search for patterns in an Alzheimer’s dataset, and a ranking algorithm to rank Alzheimer’s disease risk factors based on clinical evaluation. For the classification experiments we used five different Machine Learning models; Random Forest (RF), Random Oracle Model (ROM), a hybrid model combined of Levenberg-Marquardt neural network and Random Forest, combined using Fischer discriminate analysis (H2), Linear Neural Networks (LNN), and Multi-layer Perceptron Model (MLP). These models were deployed on a de-identified multivariable patient’s data, provided by the ADNI (Alzheimer’s disease Neuroimaging Initiative), to illustrate the effective use of data analysis to investigate Alzheimer’s disease biological and behavioural risk factors. We found that the continues enhancement of patient’s data and the use of combined machine learning models can provide an early cost-effective prediction of Alzheimer’s disease, and help in extracting insightful information on the risk factors of the disease. Based on this work and findings we have developed the strategic framework (EPADf) which is discussed in more depth in this thesis

Protest against Military Regime in Wole Soyinka’s King Baabu

This paper identifies some issues related to military regime in Nigeria and Wole Soyinka’s protest against them, as dramatized in King Baabu (2001). Soyinka evokes his people to revolt against the antidemocratic tendencies and the manipulation of army leaders who attempt to control and contain the public through various means in order to remain in power. The paper discusses Soyinka’s revolt and protest against the authoritative power which have become explicit, direct, and continuous as the only means to bring about a positive change and to curb the corruption of the military dictatorship or to make this phenomenon controllable. Protest has assisted Nigeria to turn to democracy after the death of Sani Abacha (b. 1943) in 1998, mainly because of the opposition activists and the protesting voices. Soyinka has emphasized that the end of a tyrant like King Baabu is miserable and disgusting, which is contrasted to the strength of the rebels, a message that Soyinka wants his audience to understand in order to establish civilian rule and democracy. The paper concludes on Soyinka’s note of victory of the protesters against their tyrant, a revolutionary spirit to call people to bring back what belongs to them and drive away what threatens their peace

Sign Language Recognition using Deep Learning

Sign Language Recognition is a form of action recognition problem. The purpose of such a system is to automatically translate sign words from one language to another. While much work has been done in the SLR domain, it is a broad area of study and numerous areas still need research attention. The work that we present in this paper aims to investigate the suitability of deep learning approaches in recognizing and classifying words from video frames in different sign languages. We consider three sign languages, namely Indian Sign Language, American Sign Language, and Turkish Sign Language. Our methodology employs five different deep learning models with increasing complexities. They are a shallow four-layer Convolutional Neural Network, a basic VGG16 model, a VGG16 model with Attention Mechanism, a VGG16 model with Transformer Encoder and Gated Recurrent Units-based Decoder, and an Inflated 3D model with the same. We trained and tested the models to recognize and classify words from videos in three different sign language datasets. From our experiment, we found that the performance of the models relates quite closely to the model's complexity with the Inflated 3D model performing the best. Furthermore, we also found that all models find it more difficult to recognize words in the American Sign Language dataset than the others

التأمين المعاصر : الصور والبدائل والأحكام

فكرة التأمين جاءت نتيجة لإحجام كثير من رؤساء الأموال عن التجارة بسبب المخاطرة وبسبب حوادث الخسارة، حتى تخفف خوف الخطـر المحتمل من الحريق، والتلف، والغرق، والانهيار، وحدوث واقعة محتملة غير متوقعة يذهب فيه راس المال، وأول ما نشاة التامين في اورباء نتيجة لاحجام رؤساء الاموال عن الاستثمار وهذا بدوره ادى التاثير على الاقتصاد القومي وعلى إثره عمل المفكرون على إنشاء شركات التأمين التقليدي حتى تضمن للتاجر المتاجرة وتؤمن له الخسارة للأقدار الطارئة مقابل مبلغ من المال يدفعه اشتراك يقدمه لشركة التأمين وتقوم بتعويضه إذا حصل له خسارة، وتأثرت الدول الإسلامية تباعا بهذه الشركات، وفي الآونة الأخيرة شغل التامين حيزاً كبيراً باهتمام رجال الأعمال في الأنشطة التجارية والصناعية والخدمية وغيرها، ومن الأسباب التي أدت إلى انتشار التأمين التجاري في البلدان الإسلامية العولمة التجارية، والبديل الإسلامي عقود التأمين التعاوني أو التكافلي ؛الذي يهدف إلى تقديم الخدمة الأتمانية بطريقة تعاونية مشروعة خالية من الغرر والربا وسائر المحظورات، وعلى فكرة التعاون بين مجموعة من الأفراد على أساس التعاون والتكافل والتضامن لاحتمال حدوث الكوارث والتعويض للمخاطر في الحياة العملية، وعن طريق التامين توزيع المخاطر بالتكافل فهو نظام يهدف إلى تفتيت آثار المخاطر المادية عن طريق توزيعها بين أكبر عدد من الأفراد في حالة حدوث الضـرر، والتامين التعاوني من العادات المنتشرة في المجتمعات ومنها الجمعيات الخيرية التي تنشأ بين أهل القرى والمدن بحيث يرتبون على كل مشترك مبلغاً ماليا معيناً يوضع في صندوق للطوارئ حيث يصرف منه لمن أصيب بحاثة وغرم تحفيفا لما نزل به، وأيضا أعمال الجمعيات التعاونية التي تنشأ بين الموظفين للطوارئ الذي يسهم فيه كل موظف بمبلغ معين، ويعطي منه المحتاج الذي تنزل به مصيبة

Universality and Language Specificity: Evidence from Arab and English Proverbs

All languages have proverbs that reflect their community’s attitudes, thoughts, values, and beliefs. Similarities between proverbs of different languages can be accounted for in cognitive semantics as motivated by shared human experience and universal schemas. At the same time, differences in the proverbs can be linked to the general idea of cultural diversity and hence language specificity in proverbs. This paper investigates twelve Arabic proverbs from a cognitive semantics viewpoint to determine their underlying schemas. The main aim is to arrive at a better understanding of the universal and language-specific nature of the Arabic proverbs. The methodology employed in the analysis is to explicate and determine, utilizing a cognitive semantics framework, whether the twelve Arabic proverbs have literal equivalence in English with shared schemas. In this regard, the Arabic proverbs and their English counterparts that have shared schemas are evidence for universality. While Arabic proverbs that have no literal equivalence in English and hence no shared schemas are good candidates in support of language specificity. Some of the proverbs might have shared schema but still, exhibit some variations that could be a manifestation of diversity of values and cultural background. Based on the analysis presented in this study, the Arabic proverbs examined fall into three categories: (i) proverbs that demonstrate universal construals; (ii) proverbs that demonstrate universal construal with variations; and (iii) proverbs that demonstrate language-specific construals

Fatty infiltration of the pancreas: a systematic concept analysis

Fatty infiltration of the pancreas (FIP) has been recognized for nearly a century, yet many aspects of this condition remain unclear. Regular literature reviews on the diagnosis, consequences, and management of FIP are crucial. This review article highlights the various disorders for which FIP has been established as a risk factor, including type 2 diabetes mellitus (T2DM), pancreatitis, pancreatic fistula (PF), metabolic syndrome (MS), polycystic ovary syndrome (PCOS), and pancreatic duct adenocarcinoma (PDAC), as well as the new investigation tools. Given the interdisciplinary nature of FIP research, a broad range of healthcare specialists are involved. This review article covers key aspects of FIP, including nomenclature and definition of pancreatic fat infiltration, history and epidemiology, etiology and pathophysiology, clinical presentation and diagnosis, clinical consequences, and treatment. This review is presented in a detailed narrative format for accessibility to clinicians and medical students