Set Of Elements Research Articles

Neuron-specific chromatin disruption at CpG islands and aging-related regions in Kabuki syndrome mice.

Many Mendelian developmental disorders caused by coding variants in epigenetic regulators have now been discovered. Epigenetic regulators are broadly expressed, and each of these disorders typically exhibits phenotypic manifestations from many different organ systems. An open question is whether the chromatin disruption - the root of the pathogenesis - is similar in the different disease-relevant cell types. This is possible in principle, since all these cell types are subject to effects from the same causative gene, that has the same kind of function (e.g. methylates histones) and is disrupted by the same germline variant. We focus on mouse models for Kabuki syndrome types 1 and 2, and find that the chromatin accessibility changes in neurons are mostly distinct from changes in B or T cells. This is not because the neuronal accessibility changes occur at regulatory elements that are only active in neurons. Neurons, but not B or T cells, show preferential chromatin disruption at CpG islands and at regulatory elements linked to aging. A sensitive analysis reveals that regulatory elements disrupted in B/T cells do exhibit chromatin accessibility changes in neurons, but these are very subtle and of uncertain functional significance. Finally, we are able to identify a small set of regulatory elements disrupted in all three cell types. Our findings reveal the cellular-context-specific effect of variants in epigenetic regulators and suggest that blood-derived episignatures, while useful diagnostically, may not be well-suited for understanding the mechanistic basis of neurodevelopment in Mendelian disorders of the epigenetic machinery.

Artificial Intelligence and Digital Ecosystems in Education: A Review

AbstractDigital ecosystems are a set of interconnected elements that enable an integrated and seamless digital experience. In education, the use of Artificial Intelligence (AI) has great potential to improve teaching and learning. However, for the expectations placed on the educational use of AI to be met, it is necessary to develop adequate digital ecosystems that allow its effective implementation. Therefore, it is of great importance to deepen the understanding of these ecosystems and their key elements for such implementation. For this purpose, a systematic review of the literature on this subject was conducted, which included the analysis of 76 articles published in peer-reviewed journals. The main results of the review highlight the current focus of research in that matter, which relates digital ecosystems and artificial intelligence around the personalization of learning. Also, some aspects related to this relationship are analyzed from four categories: networks, applications, services, and users.

Parapseudo-complementation on Paradistributive Latticoids

In this paper, we introduce the concept of a parapseudo-complementation in a paradistributive latticoid(PDL) and investigate its elementary properties. We demonstrate the independence of the axioms related to its definition, highlighting the flexibility of this concept. Additionally, we establish necessary conditions for a PDL with a minimal element to be parapseudo-complemented and explore the properties required for parapseudo-complementation to be equationally definable. Moreover, we establish a one-to one correspondence between the set of all minimal elements and the set of all parapseudo-complementations.

We Put the “UN” in FUN: The Mathematical Guide to Saving the World

We Put the “UN” in FUN: The Mathematical Guide to Saving the World

Urban Physical Environments Promoting Active Leisure Travel: An Empirical Study Using Crowdsourced GPS Tracks and Geographic Big Data from Multiple Sources

Specific environmental characteristics can encourage active leisure travel and increase physical activity. However, existing environment-travel studies tend to ignore the differences in environmental characteristics associated with route choice and travel distance, of which the latter could be more important for health benefits, since longer trips are associated with increased exercise. Additionally, the most recent studies focus on leisure walking and leisure cycling, and activities such as hiking, climbing, and running are examined less frequently. This study, therefore, compares the similarities and differences of the environmental factors associated with route selection and travel distance through non-parametric tests and Cox proportional hazard models. The results show that two intersecting sets of environmental elements relate to both the route chosen and the distance traveled. Land use diversity and varied topography are appealing for both leisure trips and trip length. In addition, the differences in environmental characteristics among specific leisure travels may be attributed to variations in physical activity requirements, preferences for landscape viewing, and/or sensitivity to crowding. Therefore, conclusions drawn without considering the different types of leisure travel could be skewed. Whether particular surroundings may effectively increase physical activity remains uncertain. A more holistic perspective could be beneficial when studying the connection between the environment, active travel, and health.

The interplay between English teachers’ rapport and immediacy and the students’ academic motivation

The teacher-student relationship is not a straightforward activity; however, a shared relationship that comes to fruition in a set of elements can have an impact on it. Among these factors that might affect learners’ academic motivation are teachers’ interaction and immediacy which need to be investigated in different learning contexts; therefore, the current study scrutinized the association between teachers’ rapport and immediacy and learners’ academic motivation. A total number of 304 EFL learners participated in this study. The researchers used two questionnaires (teachers’ interaction & immediacy questionnaire and learners’ academic intrinsic motivation questionnaire) to collect the required data. The results of the analysis demonstrated that there is a strong and positive association between these teachers’ interpersonal variables and students’ academic motivation. The results showed that 61% of variances in students’ academic motivation can be predicted by teachers’ interaction and immediacy. The results also revealed that gender was not a defining factor in the process. The findings emphasized the significant role of teachers and their focus on factors such as students’ needs, fear, power, teachers’ authority, knowledge, and their peers in their classrooms.

Inner-star and star-inner partial orders in ∗-rings

The notions of inner-star and star-inner generalized inverses are introduced on the set of all regular elements in a ∗-ring [Formula: see text]. We thus extend the concept of inner-star and star-inner complex matrices. We study properties of these hybrid generalized inverses on the set [Formula: see text] of all Moore–Penrose invertible elements in [Formula: see text] and thus generalize some known results. Partial orders that are induced by inner-star and star-inner inverses are introduced on [Formula: see text], their properties are examined, and their characterizations are presented.

HodgeRank as a new tool to explore the structure of a social representation

Social representation theory is a branch of social psychology that aims to identify the framework of concepts, ideas, opinions, beliefs, or feelings shared by the individuals within a social group, regarding a social object. Two main problems arise in this theory. The first concerns the identification of the content of the representation, which is the set of cognitive elements shared by the group; the second concerns its structure, which is the way these elements are organized and related among themselves. It is desirable that the methods to address these problems be simple, in regards to the feasibility of the data collection, and reliable, in the sense that they should provide a clear picture of the content and the structure of the representation. No single method proposed in the literature until now fully satisfies these features at the same time. Here we propose the use of HodgeRank, a global ranking method based on the Hodge combinatorial theory, as a new tool to explore the structure of a social representation. In this proposal, the input data is the same as those required for the hierarchical word associations, which is the main method in the field of social representations. However, the HodgeRank provides richer results when compared to the usual approach to analysing this kind of data, based on the Vergés’ double-entry table. The main outcome of the HodgeRank is a graph, analogous to an electric circuit, from which some structural elements of the representation can already be identified. Moreover, the HodgeRank technique identifies the sources of inconsistencies between the global ranking and the aggregated answers within the social group. We interpret such inconsistencies in terms of the stability of the representation and use them to raise conjectures about the potential dynamics of the representation. We illustrate the application of this method in the study of a social representation of COVID-19 within a group of students and also within a group of faculty members from higher education institutions in Brazil.

E014 Migration of the large complex dataset of the UK Juvenile Dermatomyositis Cohort Biomarker Study: challenges and lessons

Abstract Background/Aims In rare disease research, longitudinal prospective cohort studies are important tools to generate invaluable real-world evidence to inform treatment choices and understand outcomes. The Juvenile Dermatomyositis Cohort Biomarker Study & Repository (JDCBS) is a multi-centre, prospective longitudinal cohort study with linked biobank, established in 2000, with 17 active UK-Centres contributing data and samples. It supported over 60 projects generating new evidence, treatments and biomarkers in the field of juvenile myositis. The database in use until March 2023 used aged technology which did not sufficiently meet current needs of the study. REDCap is secure web application for hosting online databases, able to support online longitudinal data capture for multi-centre research studies. The aim of this project was to build and deliver a future-proofed environment and migrate the large JDCBS dataset into the REDCap platform. Methods Clinical, laboratory and outcome data at clinic visits were previously captured through a web interface which loaded data into an MS-Access back-end database. In this project, an internationally agreed set of data elements for use in research in juvenile myositis was adopted and a new data entry platform built, using REDCap and a Trusted Research Environment hosted at Great Ormond Street Digital Research Environment. A multidisciplinary team was formed to deliver migration, including clinicians, study investigators, systems analysts, and health informatics data scientists. Careful comparison of fields in the existing database to those in the internationally agreed dataset before delivery of the new REDCap database and migration of the legacy data took place. Results Key steps to deliver the REDCap interface and migrate the data included: 1. Agreement of data elements to be included, dropped or added, compared to the legacy dataset; 2. Design of study forms and fields within REDCap; 3. Testing new interface; 4. Script design and testing for migration; 5. Data cleaning of legacy dataset; 6. Training 15 collaborators and REDCap accounts management for 63 collaborators; 6. Migration of legacy dataset and quality control of migrated data; 7. Post-migration data checking and feedback on use of the new platform; 8. Summary reports of process, data quality and audit trail of project. In total, 670 patient records and 7431 clinical forms, with data from 338 data fields, were successfully migrated to the new REDCap database. A median value of 11 clinical forms (IQR: 6-18), and 3,718 data points (IQR: 2,028-6084) were migrated per patient. Conclusion Migration of a multi-dimensional longstanding study data set is a complex multi-step task requiring multi-disciplinary engagement of stakeholders. Key elements to achieve success include early agreement of data fields for inclusion, strict definitions of fields, regular engagement with database users, providing robust training, enabling feedback, and acceptance that research datasets should strive to be parsimonious in fields collected. Disclosure D. Cancemi: None. R. Hamilton: None. S. Varakliotis: None. H.D. Nguyen: None. N. Sabire: None. N. Martin: None. L. McCann: None. C. Papadopoulou: None. L. Wedderburn: Other; LW has non-renumerated collaboration with Novartis Inc, relevant to this work.

On a class of column‐weight 3 decomposable LDPC codes with the analysis of elementary trapping sets

AbstractA column‐weight LDPC code with the parity‐check matrix is called decomposable if there exists a permutation on the rows of , such that can be decomposed into column‐weight one matrix. In this paper, some variations of edge coloring of graphs are used to construct some column‐weight three decomposable LDPC codes with girths at least six and eight. Applying the presented method on several known classes of bipartite graphs, some classes of column‐weight three decomposable LDPC codes are derived having flexibility in length and rate. Interestingly, the constructed parity‐check matrices based on the proper edge coloring of graphs can be considered as the base matrix of some high rate column‐weight three quasi‐cyclic (QC) LDPC codes with maximum‐achievable girth 20. The paper also leads to a simple characterization of elementary trapping sets of the decomposable codes based on the chromatic index of the corresponding normal graphs. This characterization corresponds to a simple search algorithm finds all possible existing elementary trapping sets in a girth‐6 or girth‐8 column‐weight 3 LDPC code which are layered super set of a short cycle in the Tanner graph of the code. Simulation results indicate that the QC‐LDPC codes with large girths lifted from the constructed base matrices have good performances over AWGN channel.

Transitioning to Agile Organizational Structures: A Contingency Theory Approach in the Financial Sector

The primary objective of this investigation is to explore the key factors within a large corporation that facilitate the transition from a conventional hierarchical organizational structure to a more agile one. Although there are studies in the literature on the different agile organizational structures, there are no clear guidelines for a large company to transform to an agile framework. This study employs contingency theory as its framework and specifically focuses on the financial sector to identify both opportunities and challenges encountered during this transformation process. Qualitative research methods were employed, involving an analysis of five case studies in which managers served as respondents. This research contributes to the identification of a model as a guideline for the transformation of the organizational structure towards agility that can provide valuable information for companies undergoing such a transformation. The managers surveyed provided their experience and the competencies of their profiles were validated, in addition to the application of the Delphi method to obtain more objective information. The findings underscore that large companies should refrain from adopting a completely flat hierarchical structure. Moreover, there exists a set of strategic-level elements that serve as a guiding framework for the transformation process. Furthermore, it is essential to acknowledge that the transformation process itself does not follow a one-size-fits-all approach; rather, it is contingent upon the unique context of each individual case, and it is also a cultural challenge.

Activity reconstitution of Kre33 and Tan1 reveals a molecular ruler mechanism in eukaryotic tRNA acetylation.

RNA acetylation is a universal post-transcriptional modification that occurs in various RNAs. Transfer RNA (tRNA) acetylation is found at position 34 (ac4C34) in bacterial tRNAMet and position 12 (ac4C12) in eukaryotic tRNASer and tRNALeu. The biochemical mechanism, structural basis and functional significance of ac4C34 are well understood; however, despite being discovered in the 1960s and identification of Kre33/NAT10 and Tan1/THUMPD1 as modifying apparatuses, ac4C12 modification activity has never been reconstituted for nearly six decades. Here, we successfully reconstituted the ac4C12 modification activity of yeast Kre33 and Tan1. Biogenesis of ac4C12 is primarily dependent on a minimal set of elements, including a canonical acceptor stem, the presence of the 11CCG13 motif and correct D-arm orientation, indicating a molecular ruler mechanism. A single A13G mutation conferred ac4C12 modification to multiple non-substrate tRNAs. Moreover, we were able to introduce ac4C modifications into small RNAs. ac4C12 modification contributed little to tRNA melting temperature and aminoacylation in vitro and in vivo. Collectively, our results realize in vitro activity reconstitution, delineate tRNA substrate selection mechanism for ac4C12 biogenesis and develop a valuable system for preparing acetylated tRNAs as well as non-tRNA RNA species, which will advance the functional interpretation of the acetylation in RNA structures and functions.

Инновационное проектирование: организационные аспекты и прикладные вопросы

The experience of the leaders of various industries and sectors of the economy shows the importance of innovative component of the enterprises. Russian and foreign scientists define innovation as a special tool, a new look, a set of measures, the final result of new technologies introduction into various production and commercial processes. Through the development and implementation of innovative projects of the organization, enterprises change and optimize both technologies, goods, business processes, and management system, organizational structure, and etc. The work on innovative projects should integrate the efforts of specialists, employees of the enterprise and departments to achieve the goals of efficiency increase. Application of various approaches to the development and implementation of innovative projects is based on assessment and understanding of the strengths and weaknesses of each of them, possibility and prospects of its application in practical activities of a particular enterprise. Innovative design includes perception of the project as a set of elements. It is regulated by various normative documents, in particular GOST defines the composition and structure of project documents. The article describes various approaches to innovative projects classification, such as: according to the importance of the impact on the economy, according to the area of efforts application, according to the level of scientific and technical significance of the results, and etc. The main problem areas and issues of innovative design are identified. Applied issues of the development and implementation of innovative project are considered on the example of trading enterprise. Promising directions of innovative development were identified, various technologies and approaches were analyzed, and main directions, goals, objectives, and main results of innovative project to optimize logistics activities were formulated.

On correlation functions for the open XXZ chain with non-longitudinal boundary fields: The case with a constraint

This paper is a continuation of [J. Phys. A: Math. Theor. 55, 405203 (2022)], in which a set of matrix elements of local operators was computed for the XXZ spin-1/2 open chain with a particular case of unparallel boundary fields. Here, we extend these results to the more general case in which both fields are non-longitudinal and related by one constraint, allowing for a partial description of the spectrum by usual Bethe equations. More precisely, the complete spectrum and eigenstates can be characterized within the Separation of Variables (SoV) framework. One uses here the fact that, under the constraint, a part of this SoV spectrum can be described via solutions of a usual, homogeneous, TQ-equation, with corresponding transfer matrix eigenstates coinciding with generalized Bethe states. We explain how to generically compute the action of a basis of local operators on such kind of states, and this under the most general boundary condition on the last site of the chain. As a result, we can compute the matrix elements of some of these basis elements in any eigenstate described by the homogenous TQ-equation. Assuming, following a conjecture of Nepomechie and Ravanini, that the ground state itself can be described in this framework, we obtain multiple integral representations for these matrix elements in the half-infinite chain limit, generalizing those previously obtained in the case of longitudinal boundary fields and in the case of the special boundary conditions considered in [J. Phys. A: Math. Theor. 55, 405203 (2022)].

Unfortunately, for now we aren’t the gods of time!..

This article is devoted to the overthrow of the idle conjectures of sci-fi writers (and after them some romantically minded astrophysicists), one way or another relating to the notorious time travel. Wherein primary attention here is paid to proof of the absolute conceptual prohibition on moving into the past. After all, according to author’s count, lots of fabrications of the human intelligence are by no means equivalent to the quantity of objects of the so-called Cauchy horizon. And moreover: the ordinal of our generalized spiritual world should be obviously higher than for a similar set of structural elements of the observed cosmos.  In particular, if a number of material objects is N, a manifold of their cogitable combinations may vary from 2n to Nn. But still with that, it does not seem possible, however, to refute (as shown yet by Kurt Gödel) the significant majority of these frankly dubious speculations at a physical & mathematical level. Thus precisely the probabilistic approach (or, if you like, algorithm) is a quite legitimate and the only correct for given case!
 And summarizing, the author leads his reader to a quite reasoned conclusion that unraveling the most complex outlook problems of existence, it is better obviously to trust philosophers rather than naturalists or techies!

Designing of high entropy alloys with high hardness: a metaheuristic approach

The near-infinite compositional space of high-entropy-alloys (HEAs) is a huge resource-intensive task for developing exceptional materials. In the present study, an algorithmic framework has been developed to optimize the composition of an alloy with chosen set of elements, aiming to maximize the hardness of the former. The influence of phase on hardness prediction of HEAs was thoroughly examined. This study aims to establish generalized prediction models that aren’t confined by any specific set of elements. We trained the HEA identification model to classify HEAs from non-HEAs, the multi-labeled phase classification model to predict phases of HEAs also considering the processing route involved in the synthesis of the alloy, and the hardness prediction model for predicting hardness and optimizing the composition of the given alloy. The purposed algorithmic framework uses twenty-nine alloy descriptors to compute the composition that demonstrates maximum hardness for the given set of elements along with its phase(s) and a label stating whether it is classified as HEA or not.

A correct-by-construction approach for development of reliable planning problems

Abstract The automated planning community has developed a defacto standard planning language called PDDL. Using the PDDL tools, the reliability of PDDL descriptions can only be posterior examined. However, the Event-B method supports a rich refinement technique that is mathematically proven. Indeed, the Event-B method relies on a first-order predicates language and sets (including mathematical functions and relations) to model the data and on a simple action language to model the treatments. A model described in Event-B includes static modeling elements (sets, constants, axioms and theorems) and dynamic modeling elements (variables, invariant properties and events). Moreover, the Event-B method allows the step-by-step correct construction of Event-B models. To specify and solve the planning problems, a development process based on the combination of Event-B and PDDL is proposed. Our development process favors the obtaining of reliable PDDL description from an ultimate Event-B model using our Event-B2PDDL Eclipse plugin. Our process is successfully experimented on the sliding puzzle game.

Perancangan Aplikasi Pengolah Data Siswa Berbasis Android: Studi Kasus: SDN 107453 Kampung Jawa Serdang Bedagai

Technology is developing very quickly, especially in the field of information systems. Information technology is essential to every business, organization, government agency, and educational institution for data management and security purposes. As a result, it is critical that businesses, governments, or educational institutions put in place information systems that can be trusted to handle data processing smoothly and to help speed up task completion. A system is a collection or set of elements or variables that are interrelated, interact with each other, and depend on each other to achieve goals. Design is the stage in building a system after the system analysis stage and the system development cycle. In making the system, the tools used in making plans and designs are using Unifield Modeling Language (UML). Unifield Modeling Language is a language that has become the industry standard for visualizing, designing and documenting software systems. Use Case is one of the tools used to model user interactions with the system. Implementation is the application of how the system works based on the results of analysis and designs that have been made previously into a particular programming language.

Vibration Characteristics of a Bolted Joint Rotor-Bearing System with Rubbing and Pedestal Looseness Coupled Fault: Simulation and Experiment

Rotor-stator rub and pedestal looseness are common faults in rotating machinery, such as large gas turbines that typically use bolted joint structures to fasten adjacent disks together. It is of great significance to investigate the vibration behaviors of the bolted joint rotor-bearing system with pedestal looseness and rubbing coupled fault, which can provide proofs for the fault diagnosis. In the present work, a dynamic model of the bolted joint rotor-bearing system with coupled fault is developed by using the finite element (FE) method, and then the vibration characteristic analysis is carried out. The rotor shafts that connected by the bolted joint element (BJE) are discretized as two sets of Timoshenko beam elements. The BJE is composed with four springs (two linear translational springs and two rotational springs with piecewise-linear stiffness). The interactions of rotor-stator contact are then modeled based on the Hertz contact theory and Coulomb's friction law, and the bearing forces are also calculated based on the Hertz contact theory. Moreover, the pedestal looseness fault is modeled through the piecewise-linear stiffness spring. The equations of motions of the bolted joint rotor-bearing system with coupled fault are then developed through FE theory and solved by the Newmark method. The dynamic responses are then calculated, and the frequency spectrums, bending stiffness of bolted joint, and vibration responses under different rotation speeds under the coupled fault are analyzed. The experimental study is finally conducted based on a bolted joint rotor test rig. Simulation results are in agreement with experiment results. The research results can provide a basis for understanding the rotor dynamic features of a bolted joint rotor system with coupled faults of rubbing and pedestal looseness.

Low-order finite element method for the static and vibration analysis of an antenna pedestal

In this work, an effective algorithm is developed for the static and vibration analysis of antenna pedestal, which can well balance the modelling efficiency and computational accuracy. At first, the antenna pedestal is discretized into a set of low-order tetrahedral elements that can be automatically generated. Then, the face-based smoothing domains are constructed based on the faces of the low-order tetrahedral mesh. With the help of strain smoothing technique, the system stiffness matrices are calculated in these smoothing domains and finally, the static and vibration responses of the antenna pedestal are obtained based on the related system equations. There is no need to add any penalty parameters or additional degrees of freedom. Numerical results demonstrate that the present algorithm can achieve much better accuracy and higher convergence rate than traditional FEM, which can be regarded as an efficient tool for the structural analysis of antenna pedestal.