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Globalization and the rapid growth of technologies are the main challenges facing the manufacturer and its sustainability and survival. Sustainability for any manufacturing plays an important role in competitive advantage which make the manufacturing firm a sustainable competitor. Sustainability in manufacturing is integrated with Industry 4.0 (I4.0) to achieve benefits of economic, environmental, and social. But it has many criteria and factors and contains incomplete and uncertain information. So, we used the neutrosophic sets to overcome this incomplete information and treat with uncertainty environment. The Single-Valued Neutrosophic Set (SVNS) is used to evaluate these criteria, which include three values (Truth, indeterminacy, and falsity). The SVNS is integrated with Multi-Criteria Decision Making (MCDM) methods. The MCDM concept is used in this paper to deal with many conflicting criteria. A Decision-making trial and evaluation laboratory (DEMATEL) is utilized for determining the relation between five main criteria and fourteen sub-criteria in this study. Analytic Hierarchy Process (AHP) is used to compute the weights of the main and sub-criteria. Our framework is applied to a real case study in Egypt to show the validity of our framework.

Hajj is the largest annual gathering of Muslims, during which more than two million people from different parts of the world come together in a small region. Therefore, the idea behind this research stems from a deep interest in giving due care to Hajj and Umrah performers in line with the Kingdom of Saudi Arabia's 2030 vision, by rendering top-notch services to pilgrims. The current research aims to analyze the bags available in the local markets in light of ergonomics. This is along with identifying the factors that impact the selection of bags by Hajj and Umrah performers. The research adopts the descriptive analytical approach due to its appropriateness to fulfill the objectives of the research. The researcher conducted a pilot study that played a major role before conducting a large-scale research project as it was composed of small-sized, preliminary studies aiming at finding out whether the basic components of the main study can be achieved. The pilot study aims to identify the types of bags used by Hajj and Umrah performers, explore the problems associated with bags used, and understand the factors that pilgrims' choices. This is achieved through describing and inferring the relationship between ergonomics and bag design. Data were collected from fifty Hajj and Umrah performers through a questionnaire, according to which the factors impacting the choice and use of the Hajj bag will be identified. The researcher recommended conducting future research related to the pilot study to propose new designs for smart bags for Hajj and Umrah performers. The researcher recommends that the new bags be provided free of charge by the Ministry of Hajj as pilgrims prefer.

The rapid spread of novel coronavirus pneumonia (COVID-19) has led to a dramatically increased mortality rate worldwide. Despite many efforts, the rapid development of an effective vaccine for this novel virus will take considerable time and relies on the identification of drug-target (DT) interactions utilizing commercially available medication to identify potential inhibitors. Motivated by this, we propose a new framework, called DeepH-DTA, for predicting DT binding affinities for heterogeneous drugs. We propose a heterogeneous graph attention (HGAT) model to learn topological information of compound molecules and bidirectional ConvLSTM layers for modeling spatio-sequential information in simplified molecular-input line-entry system (SMILES) sequences of drug data. For protein sequences, we propose a squeezed-excited dense convolutional network for learning hidden representations within amino acid sequences; while utilizing advanced embedding techniques for encoding both kinds of input sequences. The performance of DeepH-DTA is evaluated through extensive experiments against cutting-edge approaches utilising two public datasets (Davis, and KIBA) which comprise eclectic samples of the kinase protein family and the pertinent inhibitors. DeepH-DTA attains the highest Concordance Index (CI) of 0.924 and 0.927 and also achieved a mean square error (MSE) of 0.195 and 0.111 on the Davis and KIBA datasets respectively. Moreover, a study using FDA-approved drugs from the Drug Bank database is performed using DeepH-DTA to predict the affinity scores of drugs against SARS-CoV-2 amino acid sequences, and the results show that that the model can predict some of the SARS-Cov-2 inhibitors that have been recently approved in many clinical studies.

Some clarifications of a previous paper with the same title are presented here to avoid any reading conflict [1]. Also, corrections of some typo errors are underlined. Each modification is explained with details for making the reader able to understand the main concept of the paper. Also, some suggested modifications advanced by Singh et al. [3] (Journal of Intelligent & Fuzzy Systems, 2019, DOI:10.3233/JIFS-181541) are discussed. It is observed that Singh et al. [3] have constructed their modifications on several mathematically incorrect assumptions. Consequently, the reader must consider only the modifications which are presented in this research.

During the recent years the smart cities knows a great extension as a modern shape of sustainable expansion. It's a urban area that utilize various devices connected with internet and integrates them with ICTs to promote goodness and execution of services for the best interaction among citizens and city's government. The basic for smart cities is distributed and independent information infrastructure. Using information effectively is going to be a main factor for success in the smart cities.

The author of the above mentioned article would like to state that in the original version, which was published in the above mentioned volume, In section 5.2, step 2, the neutrosophic scale which was presented in Table 1 is used to construct the neutrosophic comparison matrices of criteria and sub-criteria. Table 1, the triangular neutrosophic scale consisted only of lower, median, and upper values of neutrosophic number, and we made the decision maker (DM) insert the degrees of truthiness, indeterminacy and falsity of these numbers according to his/her opinion and the nature of solved problem.

Nowadays risks become a critical part in our life since they are involved in everything we do and participate. Some people do not want to do anything which associated with risk and others flourish on risk. In both types of people, they must relieve their risk through utilizing safety measures such as flame retardant suits and helmets for race car drivers, and safety ropes for rock climbers. All risks can be minimized to a manageable level by employing the proper mitigation strategy. In supply chain, the decisionmaking process contains risks which can be influential on the company’s progress in introducing a new product, expanding in various markets, and outsourcing manufacturing operations.

Neutrosophic sets have been introduced as a generalization of crisp sets, fuzzy sets, and intuitionistic fuzzy sets to represent uncertain, inconsistent and incomplete information about real world problems. Elements of neutrosophic set are characterized by a truthmembership, falsity-membership and indeterminacy membership functions.

This book treats all kind of data in neutrosophic environment, with reallife applications, approaching topics as multi-objective programming, bidirectional projection method, decision-making, teacher selection, interval valued neutrosophic graph, score function, Minimum Spanning Tree (MST), single-objective welded beam optimization, multi-objective Riser design optimization, non-linear membership function, structural optimization, generalized neutrosophic goal programming, arithmetic aggregation, geometric aggregation, welded beam design optimization, neutrosophic group, neutrosophic ring, neutrosophic R-module, weak neutrosophic R-module, strong neutrosophic R-module, neutrosophic R-module homomorphism, neutrosophic triplet inner product, neutrosophic triplet metric spaces, neutrosophic triplet vector spaces, neutrosophic triplet normed spaces, and so on.

“Neutrosophic Sets and Systems” has been created for publications on advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics that started in 1995 and their applications in any field, such as the neutrosophic structures developed in algebra, geometry, topology, etc.

This book is an excellent exposition of the use of Data Envelopment Analysis (DEA) to generate data analytic insights to make evidence-based decisions, to improve productivity, and to manage cost-risk and benefitopportunity in public and private sectors. The design and the content of the book make it an up-to-date and timely reference for professionals, academics, students, and employees, in particular those involved in strategic and operational decisionmaking processes to evaluate and prioritize alternatives to boost productivity growth, to optimize the efficiency of resource utilization, and to maximize the effectiveness of outputs and impacts to stakeholders.

“Neutrosophic Sets and Systems” has been created for publications on advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics that started in 1995 and their applications in any field, such as the neutrosophic structures developed in algebra, geometry, topology, etc.

“Neutrosophic Sets and Systems” has been created for publications on advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics that started in 1995 and their applications in any field, such as the neutrosophic structures developed in algebra, geometry, topology, etc.

The regular occurrence of flash floods over the region of Jeddah, Saudi Arabia in the past decade has highlighted the serious need for the development of early warning systems. Radar stations have been installed in Jeddah in the last decade whose active radius covers the Middle Western area of the country. Therefore, radar information and the associated the rainfall estimates are potentially useful components of an effective early warning system. Weather radar can potentially provide high-resolution spatial and temporal rainfall estimates that bring more accuracy to flood warnings as well as having applications in areas with insufficient rainfall stations coverage. Weather radar does not measure rainfall depth directly. An empirical relationship between reflectivity (Z) and rainfall rate (R), called the Z-R relationship (Z = ARb), is generally used to assess the rainfall depth. In this study, the rainfall events during August-September 2007 were analyzed to develop a Z-R relationship using the Spatial Probability Technique (SPT). This technique is based on a basic GIS function and the probability matching method. Using this technique, the Z-R pairs can be analyzed for both linear and empirical power relationships. It is found that the empirical power function is more appropriate to describe Z-R relationship than a linear function for the studied area. The method is applied with some success to the flooding event of November 25, 2009. However, the investigation of the Z-R relationship is only one step in the development of a warning system; further study of other parameters relevant to rainfall and flash flood occurrence is needed.

An analysis of the kinetic energy budget is made for a tropical cyclone. Horizontal flux convergence constitutes a major energy source. Generation of kinetic energy via cross-contour flow is a persistent sink throughout the pre-storm and growth periods. Dissipation of kinetic energy from subgrid to grid scales is an important source during the pre-storm and growth periods; it acts as the major sink of energy during the decay period. The major contribution to kinetic energy comes from a persistent upper tropospheric jet stream activity throughout the period of the cyclone development. Unlike midlatitude cyclones, a considerable quantity of kinetic energy appears between 850 - 500 hPa layers especially during the growth period. While the behavior of the values of horizontal divergence by nondivergent wind closely resemble to those of total horizontal divergence term, neglecting the divergent part of the wind would clearly lead to a considerable error in the calculation of total horizontal divergence. The mean error in approximation of total horizontal divergence by the nondivergent part during the life cycle of our cyclone is about 36%.