Background:Promoting patients’ rights is essential for defining the standards of clinical services within a country. Given their responsibilities, nurses can be the primary target for research to investigate the issue of patients’ rights within a healthcare system. As such, assessing the knowledge of nurses about patients’ rights is an essential step toward improving the quality of healthcare in limited resource settings like Sudan.Objectives:We aimed to assess the level of knowledge about patients’ rights among the nursing staff at Friendship Teaching Hospital (...) in Sudan.Methods:This hospital-based cross-sectional study was carried out at the Friendship Teaching Hospital in Sudan. We surveyed the totality of nurses (95) at the hospital using an amended survey. The data were analyzed in SPSS software using descriptive and inferential statistics.Ethical consideration:The study was approved by the Research Unit of Khartoum Ministry of Health and the Hospital administration. All respondents gave verbal consent prior to participating in the study.Results:Only 48.4% of the participants knew about the existence of the Sudanese Charter of patients’ rights. Nonetheless, our analysis found that 65.8% of nurses had acceptable level of knowledge (scored more than 75% of the total knowledge score) of patients’ rights, and none of the participant scored less than 50% of the total knowledge score. Finally, we found no statistical association between the knowledge score and demographic data, educational level, whether the participant knows about the existence of the Charter or not and a number of other factors.Conclusion:Nurses’ lack of knowledge about the existence of the Sudanese Charter of patients’ rights adopted in 2009 rights confirms the need for further efforts by Ministry of Health to promote the document. Furthermore, further research is needed to investigate the disconnect between nurses’ lack of knowledge about the existence of the charter and their awareness of the rights within the charter as well as the actual implementation of rights. (shrink)

TED Talks are still an unexplored genre of argumentation in which narrative arguments are often used in TED speakers’ strategic maneuvering to support a standpoint. In the present study, I combine the constructs of narrative positioning (NP) and strategic maneuvering (SM) to offer a conceptualization of how narrative is used in pragmatic argumentation as well as provide an exemplary analysis of a specific case of narrative arguments that were used in Winch’s (How to practice emotional first aid. https://www.ted.com/talks/guy_winch_the_case_for_emotional_hygiene.2014, 2014) TED (...) Talk. The proposed integration aims to provide a theoretical framework and empirical tools for reconstructing narrative arguments through connecting the underlying formal structure of narrative with aspects of TED speakers’ strategic maneuvering. Drawing on NP and SM constructs, the critical analysis explores how Winch’s narratives or “small stories” were strategically manipulated to support his stance with regard to the importance of mental health and to examine whether or not the use of narrative arguments as argumentation moves helped to enhance the dialectical reasonableness and rhetorical effectiveness of Winch’s argument. The analysis shows that the macro context and the knowledge gap between TED speakers and the audience makes the use of narrative arguments extremely effective. Although narrative arguments often receive criticism about their validity in providing sufficient evidence for a standpoint, their dialectical power lies in the flexibility of describing events in different fashions to draw pragmatic inferences that support the speaker’s stance. The study fills an important gap in the literature as it integrates recent approaches in narrative theory in the reconstruction and evaluation of narrative arguments in TED Talks. (shrink)

The novel coronavirus disease is regarded as one of the most imminent disease outbreaks which threaten public health on various levels worldwide. Because of the unpredictable outbreak nature and the virus’s pandemic intensity, people are experiencing depression, anxiety, and other strain reactions. The response to prevent and control the new coronavirus pneumonia has reached a crucial point. Therefore, it is essential—for safety and prevention purposes—to promptly predict and forecast the virus outbreak in the course of this troublesome time to have (...) control over its mortality. Recently, deep learning models are playing essential roles in handling time-series data in different applications. This paper presents a comparative study of two deep learning methods to forecast the confirmed cases and death cases of COVID-19. Long short-term memory and gated recurrent unit have been applied on time-series data in three countries: Egypt, Saudi Arabia, and Kuwait, from 1/5/2020 to 6/12/2020. The results show that LSTM has achieved the best performance in confirmed cases in the three countries, and GRU has achieved the best performance in death cases in Egypt and Kuwait. (shrink)

Twitter integrates with streaming data technologies and machine learning to add new value to healthcare. This paper presented a real-time system to predict breast cancer based on streaming patient’s health data from Twitter. The proposed system consists of two major components: developing an offline building model and an online prediction pipeline. For the first component, we made a correlation between the features to determine the correlation between features and reduce the number of features from the Breast Cancer Wisconsin Diagnostic dataset. (...) Two feature selection algorithms are recursive feature elimination and univariate feature selection algorithms which are applied to features after correlation to select the essential features. Four decision trees, logistic regression, support vector machine, and random forest classifier have been used on features after correlation and feature selection. Also, hyperparameter tuning and cross-validation have been applied with machine learning to optimize models and enhance accuracy. Apache Spark, Apache Kafka, and Twitter Streaming API are used to develop the second component. The best model with the highest accuracy obtained from the first component predicts breast cancer in real time from tweets’ streaming. The results showed that the best model is the random forest classifier which achieved the best accuracy. (shrink)

By confining itself to Western male founders alone, conventional sociology has managed to exclude the female half of Western Society as well as non-European societies and social scientists. This book moves beyond the Eurocentric male character of sociology to claim the objectivity that social science is required to exhibit.

BackgroundObstetrics and gynaecology always has reputation for being a highly litigious. The field of obstetrics and gynaecology is surrounded by different circumstances that stimulate the doctors to practice defensive medicine.MethodsThis study was directed to assess the extent and the possible effect of defensive medicine phenomenon on medical decision making among different grades of obstetric and gynaecologic Sudanese doctors, and to determine any experience of medical litigations with respect to sources and factors associated with it.ResultsA total of 117 doctors were approached, (...) their distribution according to job description was as follow: consultants registrars and specialists. The majority 89.7 % had the impression that litigation against doctors are increasing and 27.6 % had a direct experience of litigation. In this study less than one half of the surveyed doctors knew the concept of defensive medicine and 71.8 % reported practicing one or another form of defensive medicine. The different sources of the litigations reported by the doctors included: maternal death, perinatal death, other {misdiagnosis, intra-uterine fetal death, uterine perforation, rupture uterus}, fetal distress, injury to viscera and shoulder dystocia. In this study the experience of medical litigation was significantly observed among those who worked in area of blame culture. In logistic regression model, there was no significant difference between those who knew the concept of defence medicine and those who didn’t.ConclusionThere should be strategic plan to reduce the practice of defensive medicine and medical litigation against doctors. (shrink)

Obstetrics and gynaecology always has reputation for being a highly litigious. The field of obstetrics and gynaecology is surrounded by different circumstances that stimulate the doctors to practice defensive..

There are a lot of research studies that look at "fake news" from an Arabic online source, but they don't look at what makes those fake news spread. The threat grows, and at some point, it gets out of hand. That's why this paper is trying to figure out how to predict the features that make Arabic online fake news spread. It's using Naive Bayes, Logistic Regression, and Random forest of Machine Learning to do this. Online news stories that were (...) made up were used. They are found by using Term Frequency-Inverse Document Frequency. The best partition for testing and validating the prediction was chosen at random and used in the analysis. So, all three machine learning classifications for predicting fake news in Arabic online were done. The results of the experiment show that Random Forest Classifier outperformed the other two algorithms. It had the best TF-IDF with an accuracy of 86 percent. Naive Bayes had an accuracy rate of 84%, and Logistic Regression had an accuracy rate of 85%, so they all did well. As such, the model shows that the features in TF-IDF are the most essential point about the content of an online Arabic fake news. (shrink)

As a futuristic emblem, smart cities represent a goal to provide all of the services required for a high-quality existence while conserving natural resources to the maximum extent possible. It turns out that the "Line City in Saudi Arabia" is the most famous and modern of these smart cities in terms of preserving 100 percent natural life, owing to the fact that they rely totally on natural energy and do not use any automobiles. The issues and challenges that have been (...) highlighted will assist in the improvement of municipal management. One of the most generally implemented projects in the field of smart cities is the technological and integrative developments of the use of sensors and data collecting in conjunction with rising difficulties aimed at enhancing human well-being and improving human livelihood. This is especially true in Saudi Arabia, where visitors can arrive quickly by just walking through the checkpoints, resulting in a journey of little more than a few minutes to reach any regular destination. It also splits the city into many different levels of the ground, enabling for the conservation of natural excess energy. (shrink)

Zdá se, že není nic přirozenějšího, než se spolu s Russellem domnívat, že „máme-li smysluplně hovořit a ne pouze vydávat zvuky, musíme slovům, která užíváme, dávat nějaký význam; a významem, který svým slovům dáváme, musí být něco, s čím jsme přišli do styku“. Naše slova přece musí, aby byla skutečně smysluplná, něco představovat! Od toho se odvíjí běžná poučka, která nám říká, že slova jazyka jsou symboly, to jest (podle Encyklopedie Britannica), „prvky komunikace, které mají představovat osobu, předmět, skupinu, proces (...) nebo ideu“. Problém je ovšem v tom, že není zdaleka zřejmé, co to vůbec znamená něco představovat; a co to tedy znamená být symbolem. V běžném jazyce hovoříme o představování například tehdy, když říkáme, že herec na jevišti divadla představuje dánského prince Hamleta, nebo že krabička sirek, kterou použijeme namísto ztracené šachové figurky, představuje černou věž. Jak vůbec může dojít k tomu, aby něco (nebo někdo) představovalo něco (nebo někoho) jiného? Jednou ze možností jistě je, že to někdo vyhlásí a jiní to přijmou. V programu divadla se například napíše, že se hraje Hamlet, diváci si to přečtou a vědí, že člověk, který pobíhá po jevišti s lebkou, představuje onoho dánského prince. Člověk, který zjistí, že mu chybí šachová figurka, vezme krabičku sirek a prohlásí „Tato krabička bude představovat černou věž“. To je čirá konvence: lidé se o tom, že něco bude představovat něco jiného, jednoduše dohodnou. K takové dohodě sice není potřeba, aby s ní ti, kdo ji přijímají, nahlas vyslovovali souhlas; je k ní nicméně potřeba, aby ji někdo vyhlásil a někdo jiný jeho vyhlášení porozuměl a přijal ho. Z toho ovšem plyne, že o takto konvenční druh představování se jazyk opírat nemůže; alespoň ne obecně. Brání tomu fakt, že k ustanovení takové konvence už jazyk potřebujeme – potřebujeme tedy již nějaká slova, která něco 'představují', mít. Když již nějaký jazyk máme, není problém zavést konvencí další jazyk – jak je to ale s tím prvním jazykem? (Nebylo by možné, abychom konvenci ustanovili za pomoci nějakých pouze 'předjazykových' komunikačních prostředků? Nemůžeme konvenci, na jejímž základě nějaký typ zvuku představuje velryby, ustanovit třebs pomocí pouhého ukazování na velryby? Problém je zřejmě v tom, že rámec, který by byl potřeba k tomu, aby mohlo být to či ono gesto interpretováno jako ukázání, které ustanovuje, co bude daný zvuk představovat, by musel sestávat z tak komplexních komunikčaních praktik, že je opět stěží představitelný jinak než v podobě jazyka.) Samozřejmě, že konvence není tou jedinou cestou, jak může dojít k tomu, že něco představuje něco jiného.. (shrink)