Understanding gluten-free bread ingredients during ohmic heating: function, effect and potential application for breadmaking

Due to the absence of gluten, several challenges arise during gluten-free (GF) bread baking, affecting the mid-and-end-product quality. The main approach to overcome this issue is to combine certain functional ingredients and additives, to partially simulate wheat bread properties. In addition, the optimization of the baking process may contribute to improved product quality. A recent and very promising alternative to conventional baking is the use of ohmic heating (OH). Due to its volumetric and uniform heating principle, crumb development during baking and consequently bread volume is improved, which enhances the overall GF bread quality. Depending on the GF formulation, critical factors such as the electrical conductivity and viscosity of the batter may vary, which have a significant effect on the OH process performance. Therefore, this review attempts to provide a deeper understanding of the functionality of GF bread ingredients and how these may affect critical parameters during the OH processing.

Ibn Taymiyyah and his fatwas on forbidden (haram) and permissible (halal) issues

Recently, the study of the legacy of a medieval religious scholar Ibn Taymiyyah, who lived in Syria at the turn of 14th century, has become particularly relevant due to the growing activity of various radical groups. Notably, some parts of his teachings became the foundation of the ideology of various modern extremist sects such as Wahhabism. However, his answers to religious questions regarding the forbidden (haram) and the permitted (halal) remain understudied. Ibn Taymiyyah's ideas contradicts the unanimous conclusion of Islamic theologians on more than 60 issues. His opinion on certain issues provoked lively discussions to the point of even forbidding him to make conclusions on certain religious issues. In addition, his belonging to the Hanbali madhhab in Islam is questionable. Another problem of the study is its contradiction to the traditional Islamic concept of God. The main purpose of the study is to investigate the ideas of Ibn Taymiyyah on some issues of Islamic jurisprudence (fiqh), to compare his views with the opinions of Islamic theologians and to define erroneous ideas about jurisprudence. In this study, the main approach was to study the works of Ibn Taymiyyah and compare them with the works of Islamic theologians, representatives of different madhhabs. It was found that a certain number of religious and legal opinions of this religious scholar in matters of halal and haram contradict the legal norms of the vast majority of Muslims. This study proves that the teachings of Ibn Taymiyyah contradict the Islamic concept of God and religious and legal practice

Breast Milk Protective Factors Modelling: Nutritional Programming of Child’s Health

This review covers modern possibilities of modeling breast milk unique properties to produce infant milk formulas. The main approach of such modelling is to advance the protein composition in the formula to the spectrum of breast milk proteins, primarily α-lactalbumin. This protein has multi-directional protective properties; the organism synthesizes the antibacterial and immunomodulating peptide complex HAMLET (Human Alpha-lactalbumin Made LEthal to Tumor cells, complex of α-lactalbumin and oleic acid) on its basis. The amino acid composition of α-lactalbumin provides mild neuroprotective effect due to sufficient level of tryptophan. Non-protein components of the produced formulas (carbohydrate and fat included) enhance their protective qualities and ensure the prevention of delayed health disorders. This review provides information about the innovative baby food product containing ?-lactalbumin and other bioactive components like those in breast milk.

Culturological Aspect of Russian Interpretation of Avar Literary Works (based On “My Daghestan” by R. Gamzatov)

The topic of this article is up-to-date due to the fact that the problems of adequate Russian interpretation of My Daghestan book by Rasul Gamzatov are not completely solved yet. Moreover, the urgency of further solvation of this problem is complicated by the fact that all translations of this book into other languages are done on the basis of its Russian version. Thus all the flops in the Russian interpretation are kept in the translations into other languages as well. The main objective of the article is to claim attention to the importance of original ethnic context for proper reflection of the cultural peculiarities. The source for research is taken from My Daghestan book by R. Gamzatov in the original (Avar), as well as from its Russian interpretation done by V. Soloukhin. The main approach in the research is the method of comparative analysis of the original text and its interpretation. The given research results in the conclusion that lack of ethnic cultural knowledge of the Avar language world picture as well as the differences between ethnic and cultural values led to some certain mistakes in Russian interpretation of the text. In some cases the interpreter doesnt perform literary images corresponding to the original and to Daghestan mentality, instead leading to lack of original artistic and emotional impressions in the translation. The interpreter has also some difficulties with transmission of the original text by Rasul Gamzatov from one linguistic and cultural sphere into other, not though on the reason that it is unknown, but because it is strange for him. We should admit that while interpreting the text it is inevitable for the interpreter to use some of his individual thinking. But the best adequate interpretation needs maximum keeping to the characteristic features of the original. The individualism of the interpreter must not interfere.

‘Music in Film’ for Gifted Students: The Effect of Differentiated Learning on Students’ Motivation

Music is not only an important subject in general education, but it particularly serves gifted students who face various psychological issues not encountered by their ‘normal’ peers. Nonetheless, it is found that not all schools are implementing proper music lessons due to the focus on STEM subjects. This paper provides an overview of developing music enrichment activities as an approach to meet gifted students’ needs. Differentiated instruction was used as the main approach to developing a comprehensive music enrichment activity, namely ‘Music in Film’, in which gifted students integrated music and computer skills in completing a given task. Furthermore, a research survey was conducted involving 36 gifted students. The MUSIC Inventory was used to measure their motivation and engagement towards the activity to measure the methods. Five domains—empowerment, usefulness, success, interest and caring—were measured on a 6-point Likert scale. Results revealed that all five domains were rated from moderate to high by the gifted students with a minimum 4.5 mean. Although it can be concluded that this enrichment activity is apt and effective for implementation in gifted education, future studies could look at participants with different backgrounds and demographics. It is hoped that this paper will contribute to designing more enrichment activities with a differentiated instruction approach as gifted students possess high potential in various talents that need to be nurtured.

A new approach for task managing in the fog-based medical cyber-physical systems using a hybrid algorithm

Purpose This paper aims to offer a hybrid genetic algorithm and the ant colony optimization (GA-ACO) algorithm for task mapping and resource management. The paper aims to reduce the makespan and total response time in fog computing- medical cyber-physical system (FC-MCPS). Design/methodology/approach Swift progress in today’s medical technologies has resulted in a new kind of health-care tool and therapy techniques like the MCPS. The MCPS is a smart and reliable mechanism of entrenched clinical equipment applied to check and manage the patients’ physiological condition. However, the extensive-delay connections among cloud data centers and medical devices are so problematic. FC has been introduced to handle these problems. It includes a group of near-user edge tools named fog points that are collaborating until executing the processing tasks, such as running applications, reducing the utilization of a momentous bulk of data and distributing the messages. Task mapping is a challenging problem for managing fog-based MCPS. As mapping is an non-deterministic pol ynomial-time-hard optimization issue, this paper has proposed a procedure depending on the hybrid GA-ACO to solve this problem in FC-MCPS. ACO and GA, that is applied in their standard formulation and combined as hybrid meta-heuristics to solve the problem. As such ACO-GA is a hybrid meta-heuristic using ACO as the main approach and GA as the local search. GA-ACO is a memetic algorithm using GA as the main approach and ACO as local search. Findings MATLAB is used to simulate the proposed method and compare it to the ACO and MACO algorithms. The experimental results have validated the improvement in makespan, which makes the method a suitable one for use in medical and real-time systems. Research limitations/implications The proposed method can achieve task mapping in FC-MCPS by attaining high efficiency, which is very significant in practice. Practical implications The proposed approach can achieve the goal of task scheduling in FC-MCPS by attaining the highest total computational efficiency, which is very significant in practice. Originality/value This research proposes a GA-ACO algorithm to solve the task mapping in FC-MCPS. It is the most significant originality of the paper.

Efficient Proximal Gradient Algorithms for Joint Graphical Lasso

We consider learning as an undirected graphical model from sparse data. While several efficient algorithms have been proposed for graphical lasso (GL), the alternating direction method of multipliers (ADMM) is the main approach taken concerning joint graphical lasso (JGL). We propose proximal gradient procedures with and without a backtracking option for the JGL. These procedures are first-order methods and relatively simple, and the subproblems are solved efficiently in closed form. We further show the boundedness for the solution of the JGL problem and the iterates in the algorithms. The numerical results indicate that the proposed algorithms can achieve high accuracy and precision, and their efficiency is competitive with state-of-the-art algorithms.

Waterproofing systems for roof protection in homes

Based on the impact of climate changes, our concern arises in this scenario and the entire building is exposed to different climatic agents such as the rain itself, which can negatively impact the overall performance of the construction. Waterproofing is an essential requirement for buildings for residential, commercial and industrial use. Aspects such as the geometry and the materials with which the structural roof systems (slabs) were obtained play a fundamental role when choosing the most effective waterproofing system to incorporate into the building. Therefore, our main approach is to list the various waterproofing systems most used today for the protection of housing roofs since a knowledge of these systems will trigger a correct procedure, control and care in waterproofing, which results in a conservation of the building.

Using AnnoTree to get more assignments, faster, in DIAMOND+MEGAN microbiome analysis

In microbiome analysis, one main approach is to align metagenomic sequencing reads against a protein-reference database such as NCBI-nr, and then to perform taxonomic and functional binning based on the alignments. This approach is embodied, for example, in the standard DIAMOND+MEGAN analysis pipeline, which first aligns reads against NCBI-nr using DIAMOND and then performs taxonomic and functional binning using MEGAN. Here we propose the use of the AnnoTree protein database, rather than NCBI-nr, in such alignment-based analyses to determine the prokaryotic content of metagenomic samples. We demonstrate a 2-fold speedup over the usage of the prokaryotic part of NCBI-nr, and increased assignment rates, in particular, assigning twice as many reads to KEGG. In addition to binning to the NCBI taxonomy, MEGAN now also bins to the GTDB taxonomy.

Vaccination against SARS-CoV-2 in Patients with Inflammatory Bowel Diseases: Where Do We Stand?

Crohn’s disease and ulcerative colitis are chronic inflammatory bowel diseases (IBDs). Immunosuppressive medication is the main therapeutic approach to reducing inflammation of the gastrointestinal tract. Immunocompromised patients are more vulnerable to severe courses of illness after infection with common pathogens. The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the pathogen of the coronavirus disease 2019 (COVID-19) pandemic. COVID-19 leads to acute respiratory distress syndrome (ARDS) following severe pulmonal damage in a significant number of cases. The worldwide circulation of SARS-CoV-2 has led to major concerns about the management of IBD patients during the pandemic, as these patients are expected to be at greater risk of complications because of their underlying altered immunological condition and immunosuppressive therapies. Vaccination against SARS-CoV-2 is considered the main approach in containing the pandemic. Today, several vaccines have been shown to be highly effective in the prevention of SARS-CoV-2 infection and severe disease course in subjects without underlying conditions in respective registration studies. Patients with underlying conditions such as IBD and/or immunosuppressive therapies were not included in the registration studies, so little is known about effectiveness and safety of SARS-CoV-2 vaccination in immunocompromised IBD patients. This review provides an overview of the recent knowledge about vaccine response in IBD patients after vaccination against SARS-CoV-2.