Sequential Circuits Research Articles

The role of artificial intelligence in building an adaptive educational environment

Purpose: of the article is to study the influence of artificial intelligence on the construction of an adaptive educational environment that takes into account the positive and negative impact of artificial intelligence, as the core of digital technologies, on the well-being of participants in the educational process. Methods: the work uses a complex of theoretical methods, including axiomatic, formalization, abstraction, logical analysis, historical retrospection. The most signifi cant practical research methods include statistical, operationalization and evaluation, comparative analysis. Results: the article provides a statistical substantiation of the demand for artifi cial intelligence in the education. The current educational problems are shown, in solving which it is advisable to use artifi cial intelligence. The article describes the trends in the use of artificial intelligence in the Russian education. The interpretation of the adaptive educational environment is given and the possibilities of using artificial intelligence as a tool for its construction are shown. The logical sequence for constructing an adaptive intelligent teaching system is proposed. The analysis of the impact of digital technologies used in hybrid learning (including artifi cial intelligence) on the well-being of participants in the educational process was carried out. The need for a rational, balanced and cautious approach to the use of artifi cial intelligence in education is emphasized, which gives rise to numerous ethical problems, ignoring which can negatively aff ect the values of education. Conclusions and Relevance: in the context of digitalization of the economy and society, the key technology of which is artifi cial intelligence, education is facing technological challenges that force it to adapt to new operating conditions. The penetration of artifi cial intelligence into the field of education is the pattern of scientific and technological progress that cannot be resisted. The positive aspects and threats of using artificial intelligence in education should be critically assessed, and informed decisions should be made on this basis. Considering the specifics of the educational environment in which the foundation of personality is laid, and the need to preserve the values of education as a factor of cultural progress, priority in goal-setting and the meanings of education should remain with a person whose assistant can be artifi cial intelligence.

Discourse of Expression of Image Representations in Contemporary Audiovisual Culture

The presented study deals with the issue of the discourse of pictorial portrayals in present-day audiovisual culture. The authors aim to find the basic parameters of the current discourse and discursive practices within audiovisual creation, especially film and television. They define basic concepts and categories and submit them to analysis. From this aspect, they examine aesthetic categories, especially aesthetic values ​​and functions in relation to the interpretation of image representations. They formulate the premise that the expressions of visual presentations are reflections of the digital technical-technological platform of audiovisual making, the ethos of postmodernity and postmodernism, and the ideal of consumption of experiences as one of the most important values ​​of present-day Western civilization. In a logical sequence, they deal with the matter of the ethos and value-related frameworks of postmodernism as relevant factors that condition the discursive practices of audiovisual creators. On the other hand, they name the mindsets of individuals, recipients of audiovisual statements, testifying to their specific desires for emotional encounters. They reach the conclusion that the discourse of the expression of visual representations in contemporary audiovisual culture has clearly defined parameters of creative approaches and reception expectations.

Intelligent electroactive material systems with self-adaptive mechanical memory and sequential logic

By synthesizing the requisite functionalities of intelligence in an integrated material system, it may become possible to animate otherwise inanimate matter. A significant challenge in this vision is to continually sense, process, and memorize information in a decentralized way. Here, we introduce an approach that enables all such functionalities in a soft mechanical material system. By integrating nonvolatile memory with continuous processing, we develop a sequential logic-based material design framework. Soft, conductive networks interconnect with embedded electroactive actuators to enable self-adaptive behavior that facilitates autonomous toggling and counting. The design principles are scaled in processing complexity and memory capacity to develop a model 8-bit mechanical material that can solve linear algebraic equations based on analog mechanical inputs. The resulting material system operates continually to monitor the current mechanical configuration and to autonomously search for solutions within a desired error. The methods created in this work are a foundation for future synthetic general intelligence that can empower materials to autonomously react to diverse stimuli in their environment.

A novel design of ergodic sequential logic cochlear single partition model: reproduction of nonlinear compression characteristics of mammalian cochlea and efficient implementation

A novel design of ergodic sequential logic cochlear single partition model: reproduction of nonlinear compression characteristics of mammalian cochlea and efficient implementation

SCIENTIFIC AND METHODOLOGICAL ENSURING THE PROCESS FORMATION OF THE EMPLOYEE COMPETENCE MODEL

The article outlines the expediency of application and the main problematic issues of implementing the principles of the competency approach in personnel management of current enterprises, in particular, related to the process of formation and practical use of its main tool - the model of employee competencies. A scientific survey of the significant assets of scientists and practitioners on this topic was carried out, as a result of which it was established that there is a need to finalize currently unresolved tasks regarding the clarification of the sequence and the development of scientific and methodological support and practical recommendations for the construction of such models, since the given processes are mostly abstract, difficult for practical application due to the lack of clear instructions and tools for the implementation of each stage. The main goal of the article is to improve the process of forming the model of employee competencies by clarifying the sequence of its development, specifying actions at each stage and developing methodological tools for practical application. The process of forming the model of employee competencies was compiled, presented in the form of a logical sequence of specific ac­tions and decisions with the use of a specially developed toolkit, based on the choice of a certain approach and involves the construction of a model of competencies for employees of diffe­rent categories with a different number of constituent elements. For example, for employees in managerial posi­tions there are 4 constituent elements; for specialists and workers in labourer’s positions - 3 constituent elements etc. A scientific-methodical toolkit and relevant recommendations for its implementation were developed, an approbation was carried out on an example (a model of the competences of fitters in mechanical assembly works was developed). Competences of mechanical assembly fitters included in the developed model were assessed using the "360° method"; taking into account the weight factor of each competence, the general level of their competence is determined. The results of scientific research are the basis for making recommendations for improving the level of employees’ competence.

Iran in South Caucasus: Foreign Policy Strategy and Regional Relations with Russia (1991—2021)

The article examines the issues of Iran’s regional strategy in the South Caucasus and its relationship with Russia in the post-Soviet period. The important role played by these countries in the region, considering their geopolitical position and resources, is revealed. The novelty of the work stems from the upto-date analysis of events in the South Caucasus, including political and economic aspects. In light of the rapidly changing situation in the region, special attention is also given to highlighting new regional strategies and dynamics of interaction between countries. The study is conducted using methods of critical analysis of sources, a systemic approach, and comparative-historical analysis. The main facts and events related to Iran-Russia cooperation in the field of regional security, partnership relations in the energy and trade sectors are examined. When analyzing official documents, the historical context is taken into account, and regional events are considered in a logical sequence. The research results reveal the forms and methods of Iran’s policy implementation in the South Caucasus, as well as its interaction with Russia. These findings also allow for an assessment of the influence of both countries on complex political and economic processes in this region.

MODELO SEMÂNTICO DE OPERAÇÕES ARITMÉTICAS E LÓGICAS PARA HARDWARE VIRTUAL

The objective of this project was to develop a semantic model of arithmetic and logical operations for virtual hardware; this goal was achieved through three main steps: Implement logic gates and arithmetic and logic units in Nand2tetris virtual hardware simulator software; Implement recursive and iterative functions to check the correct functioning of logical and arithmetic operations in the p-code machine virtual machine. In the first stage, implementations of the elementary logic gates were developed in the hardware simulator software Nand2tetris. From these logic gates, combinational circuits and sequential circuits were built as logical and arithmetic unit, Half Adder, Full Adder, 16-bit Addition, 16-bit logical negation, 16-bit logical AND, 16-bit logical OR, among others. The second stage involved experimenting at a high level with arithmetic and logical operations, provided by the virtual machine p-code machine, which was implemented in the C programming language, as addition, subtraction, greater than, less than. In the third stage, having already implemented logical and arithmetic operations, iterative and recursive programs were developed to calculate the nth value of the Fibonacci Sequence and the factorial of any number n.

Neural flip-flops I: Short-term memory.

The networks proposed here show how neurons can be connected to form flip-flops, the basic building blocks in sequential logic systems. The novel neural flip-flops (NFFs) are explicit, dynamic, and can generate known phenomena of short-term memory. For each network design, all neurons, connections, and types of synapses are shown explicitly. The neurons' operation depends only on explicitly stated, minimal properties of excitement and inhibition. This operation is dynamic in the sense that the level of neuron activity is the only cellular change, making the NFFs' operation consistent with the speed of most brain functions. Memory tests have shown that certain neurons fire continuously at a high frequency while information is held in short-term memory. These neurons exhibit seven characteristics associated with memory formation, retention, retrieval, termination, and errors. One of the neurons in each of the NFFs produces all of the characteristics. This neuron and a second neighboring neuron together predict eight unknown phenomena. These predictions can be tested by the same methods that led to the discovery of the first seven phenomena. NFFs, together with a decoder from a previous paper, suggest a resolution to the longstanding controversy of whether short-term memory depends on neurons firing persistently or in brief, coordinated bursts. Two novel NFFs are composed of two and four neurons. Their designs follow directly from a standard electronic flip-flop design by moving each negation symbol from one end of the connection to the other. This does not affect the logic of the network, but it changes the logic of each component to a logic function that can be implemented by a single neuron. This transformation is reversible and is apparently new to engineering as well as neuroscience.

Compact Circuits for Efficient Möbius Transform

The Möbius transform is a linear circuit used to compute the evaluations of a Boolean function over all points on its input domain. The operation is very useful in finding the solution of a system of polynomial equations over GF(2) for obvious reasons. However the operation, although linear, needs exponential number of logic operations (around n · 2n−1 bit xors) for an n-variable Boolean function. As such, the only known hardware circuit to efficiently compute the Möbius Transform requires silicon area that is exponential in n. For Boolean functions whose algebraic degree is bound by some parameter d, recursive definitions of the Möbius Transform exist that requires only O(nd+1) space in software. However converting the mathematical definition of this space-efficient algorithm into a hardware architecture is a non-trivial task, primarily because the recursion calls notionally lead to a depth-first search in a transition graph that requires context switches at each recursion call for which straightforward mapping to hardware is difficult. In this paper we look to overcome these very challenges in an engineering sense. We propose a space efficient sequential hardware circuit for the Möbius Transform that requires only polynomial circuit area (i.e. O(nd+1)) provided the algebraic degree of the Boolean function is limited to d. We show how this circuit can be used as a component to efficiently solve polynomial equations of degree at most d by using fast exhaustive search. We propose three different circuit architectures for this, each of which uses the Möbius Transform circuit as a core component. We show that asymptotically, all the solutions of a system of m polynomials in n unknowns and algebraic degree d over GF(2) can be found using a circuit of silicon area proportional to m · nd+1 and circuit depth proportional to 2 · log2(n − d).In the second part of the paper we introduce a fourth hardware solver that additionally aims to achieve energy efficiency. The main idea is to reduce the solution space to a small enough value by parallel application of Möbius Transform circuits over the first few equations of the system. This is done so that one can check individually whether the vectors of this reduced solution space satisfy each of the remaining equations of the system using lower power consumption. The new circuit has area also bound by m · nd+1 and has circuit depth proportional to d · log2 n. We also show that further optimizations with respect to energy consumption may be obtained by using depth-bound Möbius circuits that exponentially decrease run time at the cost of additional logic area and depth.

Thermal Computing with Mechanical Transistors

AbstractMechanical computing has garnered significant interest as a supplement to traditional electronic computing, which often grapples with issues like high power consumption, security vulnerabilities, and susceptibility to extreme environmental conditions such as intense heat and radiation. Yet, most research in mechanical computing has been limited to the ad hoc design of simple logic gates and has not fully achieved the implementation of simple arithmetic computation within an electricity‐free framework. Additionally, progress in environmentally adaptive computing, crucial for decentralized intelligence, has also been slow. New ground is broken with the development of a mechanical transistor that synergizes a Kirigami thermomechanical sensor and a bistable actuator, enabling in‐memory computing for combinational and sequential logic. The design stands out by employing modular construction, symmetry breaking, and nonlinear materials, crafting logic gates, and memory units that respond to environmental stimuli through thermal delay. These transistors integrate design and material intelligence to establish nonvolatile memories, essential for logic‐in‐memory, and align thermal transport with mechanical deformation for environmental responsiveness. The mechanical transistor heralds a new age in mechanical computing, proving to be as versatile and vital as the electronic transistor has been in the era of modern computing.

Low-power and area-efficient memristor based non-volatile D latch and flip-flop: Design and analysis.

In recent years, non-volatile memory elements have become highly appealing for memory applications to implement a new class of storage memory that could replace flash memories in sequential logic applications, with features such as compactness, low power, fast processing speed, high endurance, and retention. The memristor is one such non-volatile element that fits the fundamental blocks of sequential logic circuits, the latch and flip-flop; hence, in this article, a non-volatile latch architecture using memristor ratioed logic (MRL) inverter and CMOS components is focused, with an additional memristor as a memory element. A Verilog-A model was used to create the memristor element. The simulation findings validated the compact, low-voltage, and reliable design of the latch design. We evolved in technology enough to create a master-slave flip-flop and arrange it to function as a counter and a shift register. Power, number of elements, cell size, energy, programming time, and robustness are compared to comparable non-volatile topologies. The proposed non-volatile latch proves non-volatility and can store data with a 24% reduction in power consumption and a near 10% reduction in area.

Design of Reconfigurable Logic Block Based Sequential Circuits Using Look Up Table Logics

Reconfigurable sequential circuits find applications in various digital systems, including communication networks, data processing units, embedded systems, and FPGA-based designs. Their ability to adapt and reconfigure their functionality onthe-fly allows them to accommodate dynamic requirements and optimize the use of hardware resources. Traditional implementations of sequential circuits involve static configurations, where the logic and functionality are fixed during synthesis. While these methods are straightforward to design and implement, they lack adaptability and cannot be modified without redesigning the entire circuit. The proposed method involves the utilization of a dedicated Reconfigurable Logic Block (RLB) within the sequential circuits, allowing for dynamic configuration changes without altering the overall circuit structure. The RLB can be programmed to provide different logic functions using look up tables, multiplexers, enabling the sequential circuit such as counters and shift registers to change its behaviour.

Information transfers and flows in Markov chains as dynamical causal effects.

A logical sequence of information-theoretic quantifiers of directional (causal) couplings in Markov chains is generated within the framework of dynamical causal effects (DCEs), starting from the simplest DCEs (in terms of localization of their functional elements) and proceeding step-by-step to more complex ones. Thereby, a system of 11 quantifiers is readily obtained, some of them coinciding with previously known causality measures widely used in time series analysis and often called "information transfers" or "flows" (transfer entropy, Ay-Polani information flow, Liang-Kleeman information flow, information response, etc.,) By construction, this step-by-step generation reveals logical relationships between all these quantifiers as specific DCEs. As a further concretization, diverse quantitative relationships between the transfer entropy and the Liang-Kleeman information flow are found both rigorously and numerically for coupled two-state Markov chains.

An efficient algorithm for estimating gate-level power consumption in large-scale integrated circuits

Estimating power dissipation in Very Large Scale Integrated (VLSI) circuits, particularly large-scale sequential circuits, is a significant challenge in Electronic Design Automation (EDA). Benchmarked against PrimeTime PX, the proposed algorithm proficiently analyzes large-scale combinational and sequential circuits. This research begins with a power analysis algorithm for combinational circuits, focusing on signal probability (SP) and transition count (TC). It then extends to sequential circuits, introducing methodologies for loopback issues and a validity-checking mechanism for spatial dependency topology. Developed on the OpenTimer open-source framework using the SMIC 40-nm process library, the algorithm was validated on academic and industrial datasets. Experimental evaluations show that our algorithm outperforms in terms of speed and accuracy. For power analysis with vector annotations, it achieves an average error within 0.16% in power testing of large-scale timing circuits. It also performs gate-level vectorless power analysis on complex topology and large-scale integrated circuits, demonstrating computational robustness.

Academic conference posters: Describing visual impression in pharmacy education

BackgroundAcademic conference posters are a key communication before journal articles. Attention to visual attributes can enhance academic poster communication. ObjectiveThis investigation's purpose was to create a visual impression measurement instrument, and then to describe and compare visual impression among scientific posters from an academic conference. MethodsA mixed-approach rubric was created to quickly measure visual impression of academic posters. Then, posters from a pharmacy education conference were retrospectively reviewed and scored. Visual impression was compared for traditional versus contemporary poster-formats. Various poster characteristics (poster-format, summary statement presence, abstract presence, wordiness, QR-code presence, logical sequencing, visuals) that might have impacted visual communication were coded. These characteristics were regressed onto visual impression scores. ResultsThree-hundred seventy-eight posters were scored with sound inter-rater reliability. Contemporary poster-format scored significantly higher than traditional. Poster-format, abstract absence, lack of wordiness, QR-code presence, logical sequencing, and number of visuals were significant when regressed. ConclusionPosters at one academic conference had varied visual impression. While a contemporary poster-format appeared more helpful, it was not a panacea; variation from poor through exemplary was seen with both poster-formats. Posters are not text-filled articles; displaying a combination of visuals/text clearly and concisely can help effective communication with academic posters.

Marketing Research Skills: Managers Versus Workers in Micro Business in Ondo State

The major purpose of this study is to compare the Marketing Research skills needed managers and workers in micro business.As firms grow more and more in global markets, the role of reliable, verifiable, timely and high quality marketing research information to support decision-making becomes increasingly indispensable. The effectiveness and usefulness of decision-making is directly connected to the broad condition of the preferred sector(s) of the global market. To obtain complete information regarding the market entails designing and completing a significant number of activities arranged in logical sequence. Marketing research is the principal means by which firms comprehend existing and potential customers. Relevant literature were reviewed with respect to general and marketing research skills. The study employed a survey research design and it was conducted in the three senatorial zone in Ondo State. The entire population comprised 739 respondents made up of 283 managers and 456 employees. The sample was made up of 400 respondents and hypotheses at 0.05 level of significance. A Likert scale made of 11 structured questionnaire items were used for data analysis. The reliability co-efficient of the instrument for the study was 0.75 which was calculated by using Guttman split-half. It was found out that there was no significant difference between the general research skill possessed by both managers and workers but the marketing research skill possessed by the managers are significantly different from that of other workers. Possession of general research skill was recommended for all (managers and workers). Marketing research skill was recommended for all managers in the micro business within Ondo State.

MANAGEMENT CONSIDERATIONS IN THE CONTEXT OF MULTIPLE OBSTETRIC COMORBIDITIES - A CASE REPORT

Background: Obstetric comorbidities significantly increase the risk of adverse obstetric outcomesbecause of their association with complications that can occur suddenly and escalate rapidly.Case presentation: A morbidly obese 26-year-old primigravida initially presented with first-trimesterbleeding. She consistently declined monitoring and was not adherent to the multidisciplinary treatmentplans despite serial counseling. This state persisted even when she was diagnosed with gestationaldiabetes mellitus and preeclampsia. She incurred gross fetal macrosomia and was admitted at term forinduction of labor. By the third prostaglandin, there was overt fetal tachycardia that necessitated anemergency cesarean delivery. Failed spinal anesthesia necessitated generalization. Access wasimpeded by a massive panniculus, necessitating tape retraction to reveal the surgical site. A distressedapneic baby was delivered, after which she developed an atonic uterus that necessitated uterine bracesuturing and intramyometrial PGF2α. The baby underwent therapeutic hypothermia. Postoperatively, shewas monitored and underwent repeated counseling.Discussion: This patient was noncompliant to medication and monitoring, she had multiple interactingcomorbidities, and she ended up having an avoidable multiple near-miss. There is a need to develop anobstetric comorbidity scoring index and validate it locally.Conclusion: If guided by a logical algorithmic sequence of guided responses, the development andapplication of a local risk and comorbidity scoring index may substantively reduce the risk of adverseobstetric outcomes. This is vital if sustainable development goals are to be realized.

Sequential logic circuit gold codes for electronics and communication technologies

The linear feedback shift register (LFSR) and Gold codes are used in telecommunications, Global Positioning System (GPS), satellite navigation, wireless systems, and code division multiple access (CDMA) dependent channel schemes for numerous radio communication technologies Gold codes are distinguished by their capacity to provide various orthogonal sequences.•The objective of the article is to focus on the design and simulation of the LFSR-based gold code generator chip in Xilinx ISE 14.7 software with the logic synthesis in Virtex-5 field programmable gate array (FPGA) and check the switching behavior with large frequency support applicable in fast-switching optical, and wireless electronics systems.•The methodology comprises design, functional simulation with different test inputs, and FPGA synthesis. The chip design is verified for the 10-bit seeding sequence of LFSRs to result in 1023-bit code with the frequency support of 310 MHz, and 9.285 ns delay.•The chip design is simulated based on seed data and different tap points of LFSR registers from which the bits are considered to generate the feedback. The design is scalable and has greater potential to extend to a larger extent. The behavior of the gold code depends on the maximum length sequence, absolute cross-correlation, and size of LFSR.

ANALYZING STUDENT WRITING: A COMPREHENSIVE STUDY OF SOCIOLINGUISTICS, SYNTAX, AND VOCABULARY

This study presents a comprehensive analysis of an English analytical exposition text written by Indonesian students on "The Dangers of Smoking." By evaluating the text using three key criteria – Sociolinguistics, Syntax, and Vocabulary – the researchers aim to explore the students' ability to utilize language in social contexts, their understanding of sentence structure, and their proficiency in using suitable words to convey their arguments effectively. Through a qualitative approach, the researchers conducted a meticulous assessment of the text, revealing the students' adeptness in incorporating societal implications, utilizing logical sequencing, and employing persuasive language. The findings of this study offer valuable insights into students' written capabilities and provide guidance for future pedagogical interventions in fostering linguistic development among learners.

Sequential quantum circuits as maps between gapped phases

Sequential quantum circuits as maps between gapped phases