Revolutionary Paradigm Research Articles

FPGA based Industrial Ethernet Network Analyser for Real-time Systems Providing Openness for Industry 4.0

ABSTRACT In modern cyber-physical systems, there is a high degree of connectivity that is imperative to satisfy the Four Industrial Revolution paradigm (Industry 4.0). While creating new systems according to the Industry 4.0, there are several protocols and solutions that can be applied. However, the introduction of Industry 4.0 to the existing industrial systems is not so straightforward. One point of consideration is the necessity of system modification, and another is the potential security threats a system could face. A solution presented in this paper addressing these issues is a FPGA-based network analyser with network datagram filtering and process data extraction. The analyser is transparent and may be applied without alterations to the monitored system. Moreover, there is no risk of influencing the system operation either by the data extraction device itself or by unauthorised access from the Internet, because the FPGA is a passive device operating as a data diode. The presented solution allows for the integration of existing Ethernet-based systems with cloud services for further processing of the data obtained from the monitored system. The FPGA makes process data available for the enterprise information systems.

Catalyze Materials Science with Machine Learning

Discovering and understanding new materials with desired properties are at the heart of materials science research, and machine learning (ML) has recently offered special shortcuts to the ultimate goal. Thanks to the nourishment of computer hardware and computational chemistry, the development of calculated scientific data repositories could fuel the ML models to investigate the vast materials space. At this moment, understanding this revolutionary paradigm is urgent, and this Review aims to deliver comprehensive information about the collaboration of ML with materials science. This Review summarizes recent achievements in catalysts design, which can be benefitted from ML because of the complex nature of catalytic reactions and vast candidate materials space. ML models for catalyst design could be transferred to applications in other domains and vice versa. The basic concepts of ML algorithms and practical guides to materials scientists are also demonstrated. Moreover, challenges and strategies of applying ML are discussed, which should be addressed collaboratively between materials scientists and ML communities. Ultimate integrations of ML in materials science are expected to accelerate the design, discovery, optimization, and interpretation of materials in both industry and academia, and this Review hopes to be the informative base camp for that journey.

High-Density Reconfigurable Synaptic Transistors Targeting a Minimalist Neural Network.

Enormous synaptic devices are required to build a parallel, precise, and efficient neural computing system. To further improve the energy efficiency of neuromorphic computing, a single high-density synaptic (HDS) device with multiple nonvolatile synaptic states is suggested to reduce the number of synaptic devices in the neural network, although such a powerful synaptic device is rarely demonstrated. Here, a photoisomerism material, namely, diarylethene, whose energy level varies with the wavelength of illumination is first introduced to construct a powerful HDS device. The multiple synaptic states of the HDS device are intrinsically converted under UV-vis regulation and remain nonvolatile after the removal of illumination. More importantly, the conversion is reconfigurable and reversible under different light conditions, and the synaptic characteristics are comprehensively mimicked in each state. Finally, compared with a two-layer multilayer perceptron (MLP) architecture based on static synaptic devices, the HDS device-based architecture reduces the device number by 16 times to achieve a minimalist neural computing structure. The invention of the HDS device opens up a revolutionary paradigm for the establishment of a brain-like network.

Reading program research proposal

IntroductionThere is a significant problem of unidentified and unaddressed reading disabilities leading to psychiatric problems in children and adolescents because of not having proper tools of assessments in schools. This research proposal can be a revolutionary paradigm in identifying, classifying, modeling, and benefitting children and adolescents with a specific learning disorder (SLD).ObjectivesThe objective of the current research proposal is to provide a framework of our reading program and collect data over time as cohorts to reflect the positive outcomes of the reading program.Sub-Objectives 1. To provide an intervention that is accessible and feasible for children and their parents that will improve their academic and socio-emotional aspects.2. Educate parents regarding SLD.3. To provide reading training to address SLD in reading and improve reading.4. To provide Cognitive Behavioral Therapy (CBT) to target the anxiety and depression that results because of having a SLDin reading.MethodsAfter a reading assessment, students with specific reading disabilities will be registered in the program for 10 weeks. Every student will have reading training and CBT on different days of the week via video conference. Data will be collected retrospectively from the initial cohort and subsequent cohorts will be added to the data collection process for a final analysis when 60 students have completed the program.ResultsInitial two weeks of reading training and CBT shows positive and promising results so far.ConclusionsChildren need to be screened at a young age for a reading disability before they struggle academically, and develop psychiatric issues later in life.Conflict of interestThe aim of this research proposal is to help us understand, evaluate and benefit children with Specific Learning Disorder (SLD) with our newly setup reading program at RUSH University Medical Center, Department of Child and Adolescent Psychiatry.

The shift of Vietnamese fiction paradigm, viewed from Dem num sen and Nhung nga tu va nhung cot den by Tran Dan

A study of Dem num sen (written 1961, in 2017) and Nhung nga tu va nhung cot den (written 1966, in 2011) from the paradigm perspective contributes to identifying the position of the two novels in the paradigm shift of Vietnamese novels. The article uses the methods of comparison and analysis to indicate the expressions of modern paradigm in the two works. In addition, the article uses the cultural approach to initially explain the paradigm shift of the two novels from historical and cultural context. From the paradigmatic perspective, it can be seen that both novels have changed the conception of reality and people as well as the concept of writing and writing style. It can be affirmed that Tran Dan "passed many crossroads to arrive half a century earlier" to be the earliest paradigm-changer and more clearly assert the intrinsic nature of the paradigm revolution in literature, even when it has to face with too many gruesome obstacles

An Investigation of the Genetic Variability of Metabolic Syndrome and Hemoglobin A1c among African Americans: Rethinking Current Standards of Type 2 Diabetes Diagnosis

Biological markers for Metabolic Syndrome, such as serum lipids and Hemoglobin A1c may have genetic variability among African Americans versus their Caucasian American counterparts. Although cases of Type 2 diabetes and its sequela significantly outweigh Caucasian Americans in the US, paradoxically research has found a lower prevalence of Metabolic Syndrome among blacks versus whites despite there being higher rates of Type 2 diabetes among the former population. Research has shown Metabolic Syndrome lipid parameters among African Americans are more favorable despite outstanding Type 2 diabetes incidence. With the emergence of the Human Genome Project and Genome Wide Association Studies, genetic differences in these parameters have been uncovered and genetic variability may play a role in such paradoxical mismatch. It may be reasonable to consider modifying Metabolic Syndrome parameters as given this new biological evidence. Hemoglobin A1c, also a biological marker used to monitor glucose levels over time, shows variability in its measurements with respect to African Americans. Genetic factors may play a role in the discrepancies among African Americans populations when using this parameter to monitor blood glucose. Precision medicine is now at the forefront of a biomedical new age, to find therapies that cater to specific populations based on genetic research. African Americans may not benefit from such a revolutionary paradigm shift in medicine due to evidence of lack of inclusivity in such studies like the Human Genome Project. Consideration should be made to the future of molecular medicine to include more minority populations such as African Americans in order to cater to specific differences rather than generalized standards of care.

Лингвистика совпадений

The article maintains the general theoretical position that modern science finds itself on the verge of a new revolutionary quantum paradigm. Such a paradigmatic shift has effected changes in language scholarship too - through expanding its subject area, among other things. The paper shows that new subjects in linguistics include coincidences - pairs of events or phenomena that are close in meaning without being brought about by cause-and-effect relationships. In analytical psychology, the phenomenon is called synchronicity. The aim of the study is to solve the problem of the initial cognitive realization of the idea of coincidence in different linguistic mentalities and thereby to clarify its cognitive foundations. The onomasiological, structural-semantic and comparative analysis of words with the semantics of coincidence in the languages of different families made it possible to identify regular features that recreate a general cognitive portrait of such synchronistic thinking in Russian and, effectively, in Indo-European linguistic consciousness. It is assumed that the totality of such properties constitutes a cognitive universal. It is noteworthy that the revealed features are incompatible from the point of view of classical logic. In particular, they are as follows: “duality”, “singularity”, “causal autonomy and uncontrollability”, “belonging to a different space-time structure”. All this shows that the phenomenon conceptually defined as coincidence is deeply rooted in cognition; it carries an idea of the inner reality lying beyond the scope of human conceptual thinking. The authors sum up the results of the study in Conclusion section of the paper. In particular, it is asserted that the concept of COINCIDENCE proves extremely productive in terms of reconstructing a person’s deep-seated cognitive attitudes. Besides, coincidence is regarded as a most significant phenomenon in physical reality since it is directly related to its foundations and core principles. Finally, the revealed cognitive characteristics of the COINCIDENCE concept allow us to draw cautious conclusions regarding the proximity of the phenomenon of coincidence to the special type of reality defined as quantum reality in physics. Considering coincidences from this point of view provides a unique research perspective.

Identification of drug resistant tuberculosis

Aims and objectives: Multidrug resistant TB (MDR-TB) and extensively drug resistant (XDR) are responsible for significant obstruction to global control of tuberculosis (TB). Drug resistance in Mycobacterium tuberculosis mainly occurs through chromosomal mutations in genes encoding for drug target or drug activating enzymes. However, alternative mechanisms, such as efflux pumps may also be responsible for drug resistance. Methods: Insight into the mechanisms of drug resistance would help in limiting the disease through the use and development of better diagnostic and therapeutic tools. The importance of rapid and effective methods of identification of drug resistance in M. tuberculosis cannot be over emphasized. Traditional laboratory techniques are time consuming and cumbersome and not sufficiently sensitive or specific to fight this menace. Results: Though rapid molecular methods such as GeneXpert and line probe assays are vital tools in the fight against drug resistant TB, major advances in next generation sequencing (NGS) technology are allowing increasingly rapid and accurate sequencing of entire bacterial genomes, providing unprecedented depth of information. Conclusion: NGS has the ability to cause a revolutionary paradigm shift in the diagnosis of drug resistant tuberculosis and in understanding the evolution of drug resistance. However, certain challenges need to be overcome to enable the use of this promising technology in routine diagnosis and research, especially in resource limited regions of the world.

The state of the scientific revolution in toxicology.

Science changes in waves, the so-called paradigm shifts or scientific revolutions. This concept was prominently elabo­rated by Thomas S. Kuhn more than 50 years ago in what remains one of the most cited science philosophy books of all time. Kuhn described how “normal science” experiences anomalies, which bring it to crisis and revolution from which a new, immature scientific paradigm results, which over time becomes the new normal. Building on an analysis on how this applies to toxicology and its change in approach in 2008, we concluded at the time that toxicology had encountered a number of such anomalies and was moving into crisis. Here, the progress along Kuhn’s trajectory over the last 12 years of a scientific revolution is discussed. We conclude that this decade has shown up even more anomalies, and the perception of crisis has spread and consolidated. Indications of revolutionary paradigm changes are emerging.

The productivity impact of the digitally connected 5 – layer stack in manufacturing enterprises

This paper investigates the application of modern industrial internet protocols and network architecture in manufacturing companies, from the perspectives of productivity and sustainability, framed in the fourth industrial revolution paradigm. This is achieved by delving into the existing information systems and devices, their inter-operability and interconnections using industrial internet of things protocols. The paper details a study generating a standard model of data architecture to better unify the different layers of the information systems that typify most manufacturing companies, leveraging their existing digital infrastructure to establish a solid base for further digitalization.

Parliamentary sovereignty and the locus of constituent power in the United Kingdom

Abstract This article argues that parliamentary sovereignty’s assimilation of constituent power—the ultimate power in a legal order to create and posit a constitution—has stultified the development of British constitutional law. The result is a deeply ideological, as distinct from oft-heralded pragmatic, constitutional structure that is incapable of confronting the systemic challenges the United Kingdom currently faces. By conceptualizing a more antagonistic relation between the Crown in Parliament and “the people” by questioning the democratic credentials of the former, this article contends that the UK constitutional order can be reinvigorated. This reappraisal, however, also requires the interrogation of the notion of “the people” in the UK constitutional order itself. Thus, despite what appear to be substantial constitutional reforms in recent decades, parliamentary sovereignty’s inviolability is stultifying deeper constitutional reform. The result is a constitutional law in “crisis” in search of a paradigmatic revolution. A descriptive—as distinct from normative—account of constituent power is then introduced paving the way for a distinction to be drawn between the possessor of constituent power in a constitutional order and “the people.” Constituent power in the context of the UK is then discussed, arguing that parliamentary sovereignty incorporates much of what the idea of constituent power does. However, this does not mean that constituent power is vested in “the people”; rather, the locus of constituent power in the United Kingdom should be more forcefully critiqued from a democratic perspective. By acknowledging this distinction, the sacrosanctity of parliamentary sovereignty can be broached and more effective constitutional reform can follow by embracing this tension between Parliament and “the people.”

Investigating the relationship between integrated reporting and firm performance in a voluntary disclosure regime: insights from Bangladesh

PurposeThe purpose of this study is observing the disclosure pattern of integrated reporting (IR) and investigating its relationship with a firm's operational, financial and market growth performance measured in the form of return on assets (ROA), return on equity (ROE) and market-to-book value ratio respectively in the voluntary disclosure regime of Bangladesh.Design/methodology/approachThis research is quantitative, based on a pooled-OLS regression analysis of 20 firms listed under ten different nonfinancial industries of the Dhaka Stock Exchange (DSE) for three financial years from 2015–2016 to 2017–2018, with 60 firm-year observations. A manual content analysis based on a structured integrated reporting disclosure index (IRDIN) measures the extent of disclosure in the corporate annual reports. The practical model consists of the dependent variable IRDIN and the independent variables ROA, ROE and market-to-book value ratio. The natural logarithm of total assets and financial leverage are the two controlling variables used in the model.FindingsThe findings deduced from the empirical results indicate that the IRDIN is positively and significantly related to all three performance variables. Content analysis shows an increasing pattern of disclosure of the constructed index elements by the sample firms.Research limitations/implicationsA Small sample size may deter the generalization of the research findings in other voluntary disclosure regimes. Self-constructed IRDIN index scores may be affected by subjective judgment while assessing the annual reports.Practical implicationsCapital market regulators can gain valuable insights regarding the suitability of implementing IR in Bangladesh as the results show a positive relationship of firm performance with the adoption of this revolutionary paradigm in corporate reporting.Originality/valueThis study adds value to the existing limited literature of IR disclosure and firm performance in Bangladesh by incorporating content analysis and regression analysis to understand how firms respond to the demand of value creation by the stakeholders in a voluntary disclosure regime. This study captures sample firms from all the nonfinancial industries of Bangladesh with a unique IR index, which is the first of its kind.

A Paradigm Revolution or Just Better Resolution-Will Newly Emerging Superresolution Techniques Identify Chromatin Architecture as a Key Factor in Radiation-Induced DNA Damage and Repair Regulation?

Simple SummaryRadiation-induced double-strand breaks (DSBs) are the most toxic and most difficult to repair DNA lesions and are very heterogeneous. These characteristics place considerable demands on the selection of the most suitable repair mechanism at each individual damage site. Here, we review the current knowledge on this still enigmatic process and hypothesize that it critically involves the local chromatin architecture at the micro- and nanoscales, later manifested in the architecture of DSB repair foci (i.e., IRIFs).DNA double-strand breaks (DSBs) have been recognized as the most serious lesions in irradiated cells. While several biochemical pathways capable of repairing these lesions have been identified, the mechanisms by which cells select a specific pathway for activation at a given DSB site remain poorly understood. Our knowledge of DSB induction and repair has increased dramatically since the discovery of ionizing radiation-induced foci (IRIFs), initiating the possibility of spatiotemporally monitoring the assembly and disassembly of repair complexes in single cells. IRIF exploration revealed that all post-irradiation processes—DSB formation, repair and misrepair—are strongly dependent on the characteristics of DSB damage and the microarchitecture of the whole affected chromatin domain in addition to the cell status. The microscale features of IRIFs, such as their morphology, mobility, spatiotemporal distribution, and persistence kinetics, have been linked to repair mechanisms. However, the influence of various biochemical and structural factors and their specific combinations on IRIF architecture remains unknown, as does the hierarchy of these factors in the decision-making process for a particular repair mechanism at each individual DSB site. New insights into the relationship between the physical properties of the incident radiation, chromatin architecture, IRIF architecture, and DSB repair mechanisms and repair efficiency are expected from recent developments in optical superresolution microscopy (nanoscopy) techniques that have shifted our ability to analyze chromatin and IRIF architectures towards the nanoscale. In the present review, we discuss this relationship, attempt to correlate still rather isolated nanoscale studies with already better-understood aspects of DSB repair at the microscale, and consider whether newly emerging “correlated multiscale structuromics” can revolutionarily enhance our knowledge in this field.

Implications of Gauge-Free Extended Electrodynamics

Recent tests measured an irrotational (curl-free) magnetic vector potential (A) that is contrary to classical electrodynamics (CED). A (irrotational) arises in extended electrodynamics (EED) that is derivable from the Stueckelberg Lagrangian. A (irrotational) implies an irrotational (gradient-driven) electrical current density, J. Consequently, EED is gauge-free and provably unique. EED predicts a scalar field that equals the quantity usually set to zero as the Lorenz gauge, making A and the scalar potential () independent and physically-measureable fields. EED predicts a scalar-longitudinal wave (SLW) that has an electric field along the direction of propagation together with the scalar field, carrying both energy and momentum. EED also predicts the scalar wave (SW) that carries energy without momentum. EED predicts that the SLW and SW are unconstrained by the skin effect, because neither wave has a magnetic field that generates dissipative eddy currents in electrical conductors. The novel concept of a “gradient-driven” current is a key feature of US Patent 9,306,527 that disclosed antennas for SLW generation and reception. Preliminary experiments have validated the SLW’s no-skin-effect constraint as a potential harbinger of new technologies, a possible explanation for poorly understood laboratory and astrophysical phenomena, and a forerunner of paradigm revolutions.

Shared mobility oriented open vehicle routing with order radius decision

• This paper studies an open vehicle routing problem for shared mobility. • It considers decision of the order dissemination circle's radius. • A nonlinear mixed-integer programming model is proposed. • A column generation based solution method is implemented. • Numerical experiments are conducted to validate efficiency of the method. In the era of sharing economy and the mobility-as-service, the last mile delivery system is undergoing revolutionary changes with emerging a lot of new operation modes and policies. The crowdsourced delivery mode has become a novel and popular practice in the last mile delivery industry. This mode brings a novel way for facilitating the efficiency of last mile delivery on the basis of the shared mobility. This paper studies an open vehicle routing problem (OVRP) for the shared mobility based last mile delivery mode, in which parcel delivery orders are disseminated within a circle to attract occasional vehicles (or couriers) to fulfill these orders. Different from the traditional OVRP, this study further considers the decision of the above mentioned circle’s radius, which should be balanced between attracting enough vehicles and reducing additional cost (reward) for covering vehicles’ empty trips to the pickup location. This paper proposes a nonlinear mixed-integer programming model for the problem. A column generation based solution method is implemented to solve the model. Some numerical experiments are also conducted to validate the efficiency of the solution method and draw out some managerial implications for the practitioners. The proposed methodology in this paper may be potentially benefit not only for reducing the last mile delivery cost but also for promoting the modern transportation paradigm revolution to ridesharing and mobility-as-service.

Software-Defined Networking: Concepts and Applications

Software-Defined Networking (SDN) is a revolutionary paradigm that has transformed the way networks are designed, deployed, and managed. By decoupling the control plane from the data plane, SDN provides centralized control and programmability, offering numerous advantages over traditional networking approaches. This paper provides a comprehensive review of SDN concepts and applications, focusing on key aspects such as architecture, fundamentals, challenges, and future directions. We begin with an introduction to SDN, discussing its definition, evolution, and relevance in modern networking. We then delve into the fundamentals of SDN, exploring its key components, architecture, and control plane functionality. Next, we examine various SDN applications, including network management, traffic engineering, security, and cloud computing. We also discuss the challenges facing SDN, such as scalability, security, and interoperability, and highlight emerging trends and future research directions in the field. Through this review, we aim to provide a comprehensive understanding of SDN's impact on modern networking and its potential for future innovation.

The Paradigm Revolution in the Distribution Grid: The Cutting-Edge and Enabling Technologies

AbstractBi-directional information and energy flow, renewable energy sources, battery energy storage, electric vehicle, self-healing capability, and demand response programs, etc., revolutionized the traditional distribution network into the smart distribution network. Adoption of modern technologies like intelligent meters such as advanced metering infrastructure & Micro-phasor measurement units, data storage, and analysis techniques and incentive-based electricity trading mechanisms can bring this paradigm shift. This study presents an overview of popular technologies that facilitate this transformation, giving focus on some prime technologies such as real-time monitoring based on Micro-phasor measurement units, data storage and analytics, blockchain technology, multi-agent systems, and incentive-based energy trading mechanisms

Solidarity, critique and techno-science: Evaluating Rorty’s pragmatism, Freire’s critical pedagogy and Vattimo’s philosophical hermeneutics

Abstract The critique of metaphysics can often entail a critique of liberalism. Rorty sought a revolutionary paradigm shift in philosophy and the broader humanities, by linking the rejection of metaphysics to a justification for liberal democracy and reformism. He believed that the recognition of socio-historical contingency concerning interpretations of fundamental values and of truth, combined with a humanities education, would create a sense of solidarity that would motivate reforms. Freire argues that a dialogic form of education is as important as the humanities’ content. For Freire, people liberated by a critical education based on dialogue rather than a passive reception of information, can develop a radical critique of capitalism. Vattimo argues that while Heidegger saw techno-science as being the final phase in metaphysical domination, the contemporary development of information and communications technology creates a ‘Babel-like’ pluralism that undermines the ‘violence’ of metaphysic’s totalising thought. This can allow for the development of a post-metaphysical ‘weak communism’ that improves social justice. Rorty and Freire help to show that it is education, rather than technological developments, that can motivate a post-metaphysical politics of solidarity, and Vattimo and Freire are correct to argue that replacing reformism with radical critique is needed for social justice, although Vattimo’s weak communism only provides limited social justice.

Machine Learning for 6G Wireless Networks: Carrying Forward Enhanced Bandwidth, Massive Access, and Ultrareliable/Low-Latency Service

To satisfy the expected plethora of demanding services, the future generation of wireless networks (6G) has been mandated as a revolutionary paradigm to carry forward the capacities of enhanced broadband, massive access, and ultrareliable and lowlatency service in 5G wireless networks to a more powerful and intelligent level. Recently, the structure of 6G networks has tended to be extremely heterogeneous, densely deployed, and dynamic. Combined with tight quality of service (QoS), such complex architecture will result in the untenability of legacy network operation routines. In response, artificial intelligence (AI), especially machine learning (ML), is emerging as a fundamental solution to realize fully intelligent network orchestration and management. By learning from uncertain and dynamic environments, AI-/ML-enabled channel estimation and spectrum management will open up opportunities for bringing the excellent performance of ultrabroadband techniques, such as terahertz communications, into full play. Additionally, challenges brought by ultramassive access with respect to energy and security can be mitigated by applying AI-/ML-based approaches. Moreover, intelligent mobility management and resource allocation will guarantee the ultrareliability and low latency of services. Concerning these issues, this article introduces and surveys some state-of-the-art techniques based on AI/ML and their applications in 6G to support ultrabroadband, ultramassive access, and ultrareliable and lowlatency services.

The Anthropological and Ethnographic Approaches to Social Representations Theory - an Empirical Meta-Theoretical Analysis.

Part of a larger project aimed at performing an empirical meta-theoretical analysis of the entire corpus of scientific literature on Social Representations Theory (SRT), this research presents the state of the art of the anthropological and ethnographic approaches to SRT. Applying the Grid for Meta-Theoretical Analysis on 295 publications selected from the So.Re.Com"A.S. de Rosa"@-library, we compiled a rich set of meta-data and data illustrative of how SRT was conceptualized and operationalized within the anthropological and ethnographic approaches, as well as its positioning among other theoretical and disciplinary frameworks. The data was submitted to textual analysis, followed by a Hierarchical Clustering on Principal Components analysis. The empirical results suggest that from a theoretical standpoint, the anthropological and ethnographic approaches - inspired by its main exponents Jodelet (1991, 2016) and Duveen and Lloyd, (1986, 1993) - are consistent with the dynamic conceptualization of social representations set out by Moscovici (1961/1976, 1984/2003, 1988, 2000, 2013), as revolutionary paradigm that has shifted the emphasis of social psychology from looking at isolated variables in individuals in the abstract, towards a supra-disciplinary integrative vision of a social science, that investigates the genesis, transformation and negotiation of social representations in the communicative actual contexts (Billig 1991; de Rosa 2013a, b; Sammut et al. 2015a). From an empirical perspective, the variety of qualitative methods employed were open to investigate socio-cultural dimensions and symbolic universes, reflecting the integrative tradition of SRT that bridges diverse neighbouring disciplines in an effort towards a multifaceted perspective on the object of study.