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The purpose of this paper is to appreciate the futuristic trends of Big and Open Linked Data (BOLD). While designating the ongoing progress of BOLD as BOLD 0.0, the paper also identifies the trajectory of BOLD 0.0 as BOLD 1.0, BOLD 2.0 and BOLD 3.0 in terms of the complexity and management of data sets from different sources.

This is a viewpoint and the ideas presented here are personal.

The trajectory of BOLD shall witness ever-growing challenges as the nature and scope of data sets grow complicated. The paper posits that by the time BOLD would attain its maturity, there would be a need for newer technologies and data architecture platforms which are relatively affordable and available as “Open Source”, if possible.

Being exploratory in approach, this viewpoint presents a futuristic trend, which may or may not be valid. Nevertheless, there are significant practical implications for the academicians and practitioners to appreciate the likely challenges in the coming times for ensuring the sustainability of BOLD.

While there are a number of studies on BOLD, there are no studies which seek to propose the possible trends in BOLD’s progress. This paper seeks to plug this gap.

The purpose of this study/paper is the generalized ontological law of monotheism (unity of knowledge) and its functioning in the financial world system is summarized and contrasted with the recent conception of “shari’ah-compliance”. Thereby, some specific rulings of shari’ah-compliance in Islamic finance are critically annulled. The principal problem of the inability of shari’ah-compliance in the formalism of rate-setting and debt cancellation is pointed out in analytical ways. The alternative valuation models in the light of the Tawhidi ontological law are formalized. Many important issues are examined in analytical and Tawhidi authentic ways of Islamic law contra to shari’ah-compliance.

The epistemological approach commencing from the Tawhidi ontological law is used as the premise of developing analytical formalism to counter the irrelevant rulings done by the field of shari’ah compliance. Thereby, endogenous moral and ethical foundations are studied in deriving analytical finance models of asset valuation, rate-determination and debt cancellation.

Substantive analytical results are derived for intellection in the area of the primal ontological law of Tawhid that negates many of the rulings framed up in shari’ah-compliance area of Islamic law. These results can guide financial academia, practitioners and policymakers.

The paper can be expanded subsequently to the area of analytical Islamic finance in general by further investigating the Modigliani and Miller theorem on optimal debt-equity structure of corporate finance. An introduction to this study is provided in this paper as a starting point of dealing with the debt problem of shari’ah-compliance.

The paper presents important guidance as input for the rulings of shari’ah-compliance idea held by shari’ah advisory boards and similar institutions presently operating at the financial level.

The paper presents a subtle transformation of the social and financial order in the light of the Tawhidi ontological law quite differently from the way that shari’ah-compliance envisions.

The theoretical and projected applied perspectives in analytical finance presented in this paper provide a methodological worldview for all areas of social finance with ethical consciousness. Such analytical approach is much needed today in the reconstruction of global finance in the scale of ethics and away from the sole focus on capital market efficiency.

The traditional literature dealing with statistical decision problems usually assumes that previous information about an associated experiment may be expressed by means of conditional probabilistic information, and the actual experimental outcomes can be perceived with exactness by the statistician. We now consider statistical decision problems satisfying the first assumption above, so that the actual available information cannot be exactly perceived, but rather it may be assimilated with fuzzy information (as defined by Zadeh et al.).

Image classification is becoming a supporting technology in several image-processing tasks. Due to rich semantic information contained in the images, it is very popular for an image to have several labels or tags. This paper aims to develop a novel multi-label classification approach with superior performance.

Many multi-label classification problems share two main characteristics: label correlations and label imbalance. However, most of current methods are devoted to either model label relationship or to only deal with unbalanced problem with traditional single-label methods. In this paper, multi-label classification problem is regarded as an unbalanced multi-task learning problem. Multi-task least-squares support vector machine (MTLS-SVM) is generalized for this problem, renamed as multi-label LS-SVM (ML²S-SVM).

Experimental results on the emotions, scene, yeast and bibtex data sets indicate that the ML²S-SVM is competitive with respect to the state-of-the-art methods in terms of Hamming loss and instance-based F1 score. The values of resulting parameters largely influence the performance of ML²S-SVM, so it is necessary for users to identify proper parameters in advance.

On the basis of MTLS-SVM, a novel multi-label classification approach, ML²S-SVM, is put forward. This method can overcome the unbalanced problem but also explicitly models arbitrary order correlations among labels by allowing multiple labels to share a subspace. In addition, the multi-label classification approach has a wider range of applications. That is to say, it is not limited to the field of image classification.

This paper is an overview of reconstructability analysis (RA), an approach to discrete multivariate modeling developed in the systems community. RA includes set‐theoretic modeling of relations and information‐theoretic modeling of frequency and probability distribution. It thus encompasses both statistical and nonstatistical problems. It overlaps with logic design and machine learning in engineering and with log‐linear modeling in the social sciences. Its generality gives it considerable potential for knowledge representation and data mining.

The three-sector framework (relating to agriculture, manufacturing and services) is one of the major concepts for studying the long-run change of the economic structure. This paper aims to discuss the system-theoretical classification of the structural change in the three-sector framework and, in particular, its predictability by the Poincaré–Bendixson theory.

This study compares the assumptions of the Poincaré–Bendixson theory to the typical axioms of structural change modeling, the empirical evidence on the geometrical properties of structural change trajectories and the methodological arguments referring to the laws of structural change.

The findings support the assumption that the structural change phenomenon is representable by a dynamical system that is predictable by the Poincaré–Bendixson theory. This result implies, among others, that in the long run, structural change is either transitory or cyclical and can be used in further geometrical/topological long-run structural change modeling and prediction.

Although widespread in mathematics, geometrical/topological modeling methods have not been used in modeling and prediction of long-run structural change, despite the fact that they seem to be predestined for this purpose owing to their global, system-theoretical nature, allowing for a reduction of ideology content of predictions and greater robustness of results.

Allergenic substances cause food allergy, which represents a major health issue in most countries. This underlines the importance of considering the products' labeling as well as applying related regulatory practices. The objective of this study was to assess the labeling practices of allergens in food products in Morocco.

This cross-sectional survey was conducted on 156 food products collected from four supermarkets in a Moroccan megacity. The data related to the allergen substances (allergen declared, emphasis characters, precautionary allergen labeling) were collected from labels of food products.

The number of foods included in this research was 156, of which 7 (4.5%) did not mention the allergy alert. The analysis of the allergy alert in the others sample (149) showed 266 nonconformities, noticed in 112 (71.8%) products. The labeling emphasis characters were observed in 33.3% of products, and only 13.5% mentioned “contains allergen” as a mandatory statement to declare the presence of allergens. Allergic alerts found in places concealed, removable by the opening of the seal or difficult to see were observed in 28.9%. The use of a precautionary allergen labeling statement was noticed in 40.4% of products.

Moroccan regulations on food allergens are demanding like those of the European Union and more demanding than those of most African countries. However, the application of this regulation remains unsatisfactory and 266 non-conformities were found in 112 (71.8%) products. The absence of emphasis characters and the declaration in inappropriate places represent the most observed non-conformities. Therefore, Moroccan manufacturers must strictly adhere to regulations to avoid exposure of predisposed consumers to potentially threatening allergenic substances.

This study aims to assess the use of variational quantum imaginary time evolution for solving partial differential equations using real-amplitude ansätze with full circular entangling layers. A graphical mapping technique for encoding impulse functions is also proposed.

The Smoluchowski equation, including the Derjaguin–Landau–Verwey–Overbeek potential energy, is solved to simulate colloidal deposition on a planar wall. The performance of different types of entangling layers and over-parameterization is evaluated.

Colloidal transport can be modelled adequately with variational quantum simulations. Full circular entangling layers with real-amplitude ansätze lead to higher-fidelity solutions. In most cases, the proposed graphical mapping technique requires only a single bit-flip with a parametric gate. Over-parameterization is necessary to satisfy certain physical boundary conditions, and higher-order time-stepping reduces norm errors.

Variational quantum simulation can solve partial differential equations using near-term quantum devices. The proposed graphical mapping technique could potentially aid quantum simulations for certain applications.

This study shows a concrete application of variational quantum simulation methods in solving practically relevant partial differential equations. It also provides insight into the performance of different types of entangling layers and over-parameterization. The proposed graphical mapping technique could be valuable for quantum simulation implementations. The findings contribute to the growing body of research on using variational quantum simulations for solving partial differential equations.

WordPerfect has a very powerful macro capability. Macros are special files that you can create that will allow you to use either a few keystrokes, or even a single one to automatically perform a number of keystrokes. Macros are valuable because they provide the ability to perform repetitive tasks with the least amount of effort and to customize WordPerfect to your individual needs. Macros can be used in a variety of ways. They can automatically type often used words, phrases or even paragraphs that you might need to insert in documents frequently. More importantly they can be used to automate a series of commands that you do on a day‐to‐day basis.

Deals with the problem of the electromagnetic torque calculation in the case of either nonuniformity of the air‐gap or eccentricity of the rotor. The electromagnetic field distributions have been evaluated for drag‐cup motors. An analytical model has been introduced for linear motor based on the variation method for magnetic flux density magnitudes. The total torque and its components have been evaluated for the motors chosen. The decrease of the electromagnetic torque and increase of eddy‐current losses have been discussed due to either rotor circular asymmetry or its eccentricity.