In our current era, a new rapidly spreading pandemic disease called coronavirus disease, caused by a virus identified as a novel coronavirus, is becoming a crucial threat for the whole world. Currently, the number of patients infected by the virus is expanding exponentially, but there is no commercially available COVID-19 medication for this pandemic. However, numerous antiviral drugs are utilized for the treatment of the COVID-19 disease. Identification of the appropriate antivirus medicine to treat the infection of COVID-19 is still (...) a complicated and uncertain decision. This study’s key objective is to develop a novel approach called _q_-rung orthopair probabilistic hesitant fuzzy rough set, which incorporates the _q_-rung orthopair fuzzy set, probabilistic hesitant fuzzy set, and rough set structures. New _q_-ROPHFR aggregation operators have been established: the _q_-ROPHFR Einstein weighted averaging operator and the _q_-ROPHFR Einstein weighted geometric operator. In this study, we explored some basic features of the developed operators. Afterward, to demonstrate the viability and feasibility of the established decision-making approach in real-world applications, a case study related to selecting drugs for COVID-19 pandemic is addressed. Furthermore, a comprehensive comparison with the _q_-rung orthopair probabilistic hesitant fuzzy rough TOPSIS technique is also presented to illustrate the benefits of the new framework. The obtained results confirm the reliability and effectiveness of the proposed approach for finding uncertainty in real-world decision-making. (shrink)

Fuzzy sets and fuzzy logics are used to model events with imprecise, incomplete, and uncertain information. Researchers have developed numerous methods and techniques to cope with fuzziness or uncertainty. This research intends to introduce the novel concepts of complex neutrosophic relations and its types based on the idea of complex neutrosophic sets. In addition, these concepts are supported by suitable examples. A CNR discusses the quality of a relationship using the degree of membership, the degree of abstinence, and the degree (...) of nonmembership. Each of these degrees is a complex number from the unit circle in a complex plane. The real part of complex-valued degrees represents the amplitude term, while the imaginary part represents the phase term. This property empowers CNRs to model multidimensional variables. Moreover, some interesting properties and useful results have also been proved. Furthermore, the practicality of the proposed concepts is verified by an application, which discusses the use of the proposed concepts in statistical decision-making. Additionally, a comparative analysis between the novel concepts of CNRs and the existing methods is carried out. (shrink)

Data analytics, machine intelligence, and other cognitive algorithms have been employed in predicting various types of diseases in health care. The revolution of artificial neural networks in the medical discipline emerged for data-driven applications, particularly in the healthcare domain. It ranges from diagnosis of various diseases, medical image processing, decision support system, and disease prediction. The intention of conducting the research is to ascertain the impact of parameters on diabetes data to predict whether a particular patient has a disease or (...) not. This paper develops an improved ANN model trained using an artificial backpropagation scaled conjugate gradient neural network algorithm to predict diabetes effectively. For validating the performance of the proposed model, we conduct a large set of experiments on a Pima Indian Diabetes dataset using accuracy and mean squared error as evaluation metrics. We use different number of neurons in the hidden layer, ranging from 5 to 50, to train the ANN models. The experimental results show that the ABP-SCGNN model, containing 20 neurons, attains 93% accuracy on the validation set, which is higher than using the other ANNs models. This result confirms the model’s effectiveness and efficiency in predicting diabetes disease from the required data attributes. (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)

Bu makale, kelâm söyleminde modern argümantasyon teorilerinin kullanılması gerektiğini savun- maktadır. İslam geleneği kendi istidlâl teorilerine sahip olsa da modern terminoloji ve teoriler, yorumlayıcı anlayış ve eleştirel analize yardımcı olabilir. Bu makale, Kâdî Abdülcebbâr’ın (ö. 415/1025) Hıristiyanlığa karşı kelâm ve reddiye geleneklerindeki aklî yöntemleri kullandığı Tesbît’ine odaklanmaktadır. Yine, Kâdî Abdülcebbâr’ın Hıristiyanlıktaki “İsa’nın ilahî doğası” iddiasına karşı delillerini örneklerle tahlil etmekte- dir. Makale, tarihî kelâm metinlerinin istidlâlî açıdan incelenmesi gerektiğini; ayrıca delile dayalı kelâmın tarihini ve gelişimini anlamada hem analitik teorilerin hem (...) de argümantasyon teorilerinin ne kadar önemli olduğunu tartışmaktadır. (shrink)

Diese Arbeit widmet sich den theologischen und gesellschaftspolitischen Ansichten des spätosmanischen Gelehrten Mustafa Sabri Efendi (1869-1954). Er begegnete den Debatten seiner Zeit nicht nur als Religionsgelehrter, sondern auch als politischer Aktivist. Seine Situierung in einer Umbruchsphase zwischen Tradition und Moderne verleiht seinen Beiträgen aktuelle Relevanz. Allen voran thematisierte er das Verhältnis zwischen Offenbarung und Vernunft, Wissenschaft und Glaube sowie Religion und Politik. Dabei äusserte er sich zu diesen Themen stets aus der Perspektive einer sunnitischen ʻašʻarītischen Theologie. So kann Sabris Denken (...) als ein Gegenentwurf zum islamischen Modernismus des von Ǧamāl ad-Dīn al-Afġānī (gest. 1897) und Muḥammad ʻ Abdūh (gest. 1905) verstanden werden. (shrink)

Byzantine Empire; economic and social conditions; history.

The Travail of Nature shows that the theological tradition in the West is neither ecologically bankrupt, as some of its popular and scholarly critics have maintained, nor replete with immediately accessible, albeit long-forgotten, ecological riches hidden everywhere in its deeper vaults, as some contemporary Christians, who are profoundly troubled by the environmental crisis and other related concerns, might wistfully hope to find. This is why it is appropriate to speak of the ambiguous ecological promises of Christian theology.

Islamic philosophy; Hanbalites; doctrines; creation (Islam); early works to 1800.

Studying Mesilat Yesharim with Hadar Goldin.

يتناول محمد حيان السمّان في كتابه في "تدبير القداسة: الحجابة والحجاب - أدب الدخول على السلطان في التراث العربي الإسلامي"، الصادر عن المركز العربي للأبحاث ودراسة السياسات، العلاقة بين السلطة السياسية والمجتمع في السياق العربي - الإسلامي، من خلال موضوع الحجابة والسلطان المحتجِب عن رعيته، والوقائع المتصلة بالقدوم على أصحاب السلطة من خلفاء وملوك وسلاطين ووزراء وغيرهم، وانتظار الإذن بلقائهم. يتألف الكتاب (407 صفحات بالقطع الوسط، موثقًا ومفهرسًا) من مدخل، وقسمين فيهما عشرة فصول. في المدخل، تأسيس وإضاءة، يعالج المؤلف مسألة (...) الحجابة والحاجب من حيث اللغة والاصطلاح، ومسألة الحجابة عند ابن خلدون من منطلق الحضارة الداعية إلى انتحال الألقاب وتمييزها، ومسألة الاستئذان الشرعي والحجابة والفرق بينهما. (shrink)