Basic Components Research Articles

Efficient Near-Infrared Spectrum Detection in Nondestructive Wood Testing via Transfer Network Redesign.

This study systematically developed a deep transfer network for near-infrared spectrum detection using convolutional neural network modules as key components. Through meticulous evaluation, specific modules and structures suitable for constructing the near-infrared spectrum detection model were identified, ensuring its effectiveness. This study extensively analyzed the basic network components and explored three unsupervised domain adaptation structures, highlighting their applications in the nondestructive testing of wood. Additionally, five transfer networks were strategically redesigned to substantially enhance their performance. The experimental results showed that the Conditional Domain Adversarial Network and Globalized Loss Optimization Transfer network outperformed the Direct Standardization, Piecewise Direct Standardization, and Spectral Space Transformation models. The coefficients of determination for the Conditional Domain Adversarial Network and Globalized Loss Optimization Transfer network are 82.11% and 83.59%, respectively, with root mean square error prediction values of 12.237 and 11.582, respectively. These achievements represent considerable advancements toward the practical implementation of an efficient and reliable near-infrared spectrum detection system using a deep transfer network.

Nutritional status and treatment outcomes of tuberculosis in Mizan Tepi University Teaching Hospital, a five -year retrospective study.

Public health problems related to tuberculosis (TB) remain substantial globally, particularly in resource-limited countries. Determining TB treatment outcomes and identifying contributing factors are the basic components of the TB control strategy. In Ethiopia, different studies have been done on treatment outcomes and multiple associated factors, and there is also a little information on the effect of nutritional status on TB treatment outcomes. So there is a need for comprehensive research that examines the combined effects of multiple factors along with nutritional status. A five-year institution-based retrospective cross-sectional study was conducted at Mizan Tepi University Teaching Hospital, South West Ethiopia. This study included all tuberculosis patients who were documented in the TB registration and had known treatment outcomes at the treatment facility between January 1, 2016, and December 31, 2020. Data was collected through a pretested structured data extraction checklist. Data were entered into Epidata version 3.1 and analyzed through SPSS version 22. Multiple logistic regression was employed to assess the association between dependent and independent variables. A p-value of less than 0.05 was considered statistically significant. Of the total 625 TB patients, 283 (45.3%), 175 (28%), and 167 (26.7%) had smear-positive, extra-pulmonary, and smear-negative tuberculosis, respectively. The majority of study participants had normal weight (62.2%), were in the age group of 15-44 (67.4%), were new cases (73.8%), and were from urban areas (69.4%). About 32.2% of cases were HIV-positive. The overall unsuccessful treatment rate was 25%. From the total unsuccessful treatment rates, the highest proportion was a death rate of 90 (14.4%), followed by a treatment failure of 56 (9%). Being female (AOR = 1.7, 95% CI: 1.2-2.5), HIV positive (AOR = 2.7, 95% CI: 1.9-4.1), undernutrition (BMI<18.5kg/m2) (AOR = 1.9, 95% CI: 1.3-2.9), and smear-negative pulmonary TB (AOR = 1.6, 95% CI: 1-2.5) were independent predictors of unsuccessful treatment outcomes. The treatment success rate in the study area is very poor. Poor treatment outcomes were associated with undernutrition, female gender, HIV positivity and smear-negative pulmonary TB. So, continuous and serious supervision and monitoring of directly observed treatment short course (DOTS) program accomplishment, early detection of HIV and TB, prompt anti TB and antiretroviral treatment initiation and adherence, enhanced nutritional assessment, and counseling services need to be strengthened to improve treatment outcomes.

Методика дослідження та прогнозування виробничого потенціалу автотранспортного підприємства

Essence and importance of diagnostics of condition of a motor vehicle enterprise were discussed in the article. The existing potential that a company should use to choose its own strategic development was analyzed.&#x0D; It was outlined that organizational and economic mechanism of stable development of a motor vehicle enterprise is based on system of assessing stability of a enterprise in a conditions of an unstable external environment of operation. The basic components of sustainability of a motor vehicle enterprise were identified and analyzed, in particular: the safety of operations, the presence of competitive advantages and the quality of the provision of transport services. Analysis of impact of macroenvironmental factors on the operation of the selected transport enterprise was carried out. At the same time, the manifestations of the influence of specific factors and the nature of the influence of the factors were indicated. Evaluation of the degree of influence of factors on the selected enterprise is carried out by experts on a rating scale.It was determined that political, scientific and technical factors have the greatest positive influence on the enterprise. Economic, legal and natural factors exert the most negative influence.&#x0D; The article stated that competitiveness of a motor vehicle enterprise is a decisive factor determining a stability of enterprise's functioning.Directions of the system for ensuring high competitiveness of a transport enterprise were proposed. The key aspects of ensuring a sustainable development of an enterprise, on the basis of which it is possible to evaluate a competitiveness of an enterprise using the grapho-analytical method, were proposed. A graph-analytical model of the potential of the selected enterprise was built with a reflection of resource, investment, marketing, organizational, innovation and production potentials. The conclusion about incomplete use of all types of potential was made on the basis of the carried out assessment of potential of a motor transport enterprise. Unused potential is a reserve for increasing the company's competitiveness in future periods. The «hexagon of potential» of the selected enterprise was characterized by correct form and balanced management.

Bearing Fault Diagnosis based on Convolution Neural Network with Logistic Chaotic Map

AbstractBearing is the most basic component of motor, and prone to failure. Bearing fault diagnosis is paramount for improving the reliability and safety in motor‐drive systems. Therefore, convolutional neural network (CNN) is proposed with Logistic chaotic map and its corresponding fault diagnosis approach, which can effectively advance the accuracy of bearing fault diagnosis. Specifically, the Logistic chaotic map and Sigmoid function are combined into a non‐monotonic excitation function, which is employed to the full connection layer of the CNN. The proposed chaotic CNN can solve two issues that the conventional neural network inclines to get the local minimum value and the gradient of Sigmoid excitation function disappears. It is applied to fault data from the center of Western Reserve University and from the American Society for Mechanical Failure Prevention technology (in noiseless and noisy conditions). The results indicate the diagnosis accuracy of the algorithm outperforms other classical bearing diagnosis algorithms. Moreover, the chaotic CNN exhibits better anti‐noise performance.

PECULIARITIES OF ENERGY TRANSITION IN THE SOUTH CAUCASUS COUNTRIES

The authors have identified the problems and prospects of implementing the energy transition from conventional to renewable energy in the countries of the South Caucasus in the context of the challenges of sustainable development. The authors analyzed the concept of «sustainable energy» with the definition of its basic components (security, quality of life, environment). The issues of energy transition are studied in the context of new geopolitical challenges, as well as the UN Sustainable Development Goals. The authors presented the specifics of the development of energy systems of the countries of the region in the context of both energy security and integration challenges. Through comparative analysis, the authors have identified opportunities for effective implementation of energy transition policies in the countries of the region. The article studies the structure of existing capacities of the power systems of Georgia, Armenia and Azerbaijan, which allowed to determine the share of renewable energy in these countries. A comparative analysis of renewable energy development in the countries of the region has been carried out to determine the possibilities of increasing hydro, solar, wind, geothermal and bioenergy components. The authors also assess a number of major renewable energy projects currently being implemented in the region.

Study of the Dynamic Properties of the Miniature Electro-Hydrostatic Actuator

The electro-hydrostatic actuator (EHA) is a new type of high-performance servo actuator that originated in the field of aerospace, and it is gradually becoming a common basic component for various types of large equipment. A miniature EHA, mainly composed of a micro two-dimensional (2D) piston pump and a brushless DC motor, is designed in this article by simplifying the system structure. This paper analyzes the structure and working principle of this EHA and establishes the mathematical models of the brushless DC motor, micro two-dimensional pump, and hydraulic cylinder. Field-oriented control (FOC) is used to drive the brushless DC motor, and the models of the controller are established in Simulink. Furthermore, the models of the mechanical and hydraulic systems of the miniature EHA are established in AMESim. In addition to this, a prototype of this miniature EHA was fabricated in this paper and an experimental platform was built for experiments. In the joint simulation environment, the rise time of the EHA system at 6000 r/min is 0.158 s and the frequency response amplitude attenuation to −3 dB has a bandwidth of 20 Hz. On the other hand, the constructed miniature EHA prototype was dynamically characterized to obtain a rise time of 0.242 s at 6000 r/min and a bandwidth of 13 Hz. In this paper, the feasibility of the design scheme of the miniature EHA system is verified, and its excellent dynamic properties are verified with simulation and experiment.

Liquid Flow Patterns and Particle Settling Velocity in a Taylor-Couette Cell Using Particle Image Velocimetry and Particle Tracking Velocimetry

Summary Controlling the downhole pressure is an important parameter for successful and safe drilling operations. Several types of weighting agents (i.e., high-density particles), traditionally barite particles, are added to maintain the desired density of the drilling fluid (DF). The DF density is an important design parameter for preventing multiple drilling complications. These issues are caused by the settling of the dense particles, an undesired phenomenon also referred to as sagging. Therefore, there is a need to understand the settling characteristics of heavy particles in such scenarios. To this end, simultaneous measurements of liquid phase flow patterns and particle settling velocities have been conducted in a Taylor-Couette (TC) cell with a rotating inner cylinder and stationary outer cylinder separated by an annular gap of 9.0 mm. Liquid flow patterns and particle settling velocities have been measured using particle image velocimetry (PIV) and particle tracking velocimetry (PTV) techniques, respectively. Experiments have been performed by varying the rotational speed of the inner cylinder up to 200 rev/min, which is used in normal drilling operations. Spherical particles with diameters of 3.0 mm or 4.0 mm and densities between 1.2 g/cm3 and 3.95 g/cm3 were used. The liquid phases studied included deionized (DI) water and mineral oil, which are the basic components of a non-Newtonian DF with a shear-thinning viscosity. The DF is a mud-like emulsion of opaque appearance, which impedes the ability to observe the liquid flow field and particle settling in the TC cell. To address this issue, a solution of carboxymethyl cellulose (CMC) with a 6% weight concentration in DI water was used. This non-Newtonian solution displays shear-thinning rheological behavior and was used as a transparent alternative to the opaque DF. For water, PIV results have shown wavy vortex flow (WVF) to turbulent Taylor vortex flow (TTVF), which agrees with the flow patterns reported in the literature. For mineral oil, circular Couette flow (CCF) was observed at up to 100 rev/min and vortex formation at 200 rev/min. For CMC, no vortex formation was observed up to 200 rev/min, only CCF. The settling velocities for all particles in water matched with the particle settling velocities predicted using the Basset-Boussinesq-Oseen (BBO) equation of motion. For mineral oil and CMC, the results did not match well with the predicted settling velocities, especially for heavy particles due possibly to the radial particle migration and interactions with the outer cylinder wall.

Playing Extensive Games with Learning of Opponent's Cognition.

Decision-making is a basic component of agents' (e.g., intelligent sensors) behaviors, in which one's cognition plays a crucial role in the process and outcome. Extensive games, a class of interactive decision-making scenarios, have been studied in diverse fields. Recently, a model of extensive games was proposed in which agent cognition of the structure of the underlying game and the quality of the game situations are encoded by artificial neural networks. This model refines the classic model of extensive games, and the corresponding equilibrium concept-cognitive perfect equilibrium (CPE)-differs from the classic subgame perfect equilibrium, since CPE takes agent cognition into consideration. However, this model neglects the consideration that game-playing processes are greatly affected by agents' cognition of their opponents. To this end, in this work, we go one step further by proposing a framework in which agents' cognition of their opponents is incorporated. A method is presented for evaluating opponents' cognition about the game being played, and thus, an algorithm designed for playing such games is analyzed. The resulting equilibrium concept is defined as adversarial cognition equilibrium (ACE). By means of a running example, we demonstrate that the ACE is more realistic than the CPE, since it involves learning about opponents' cognition. Further results are presented regarding the computational complexity, soundness, and completeness of the game-solving algorithm and the existence of the equilibrium solution. This model suggests the possibility of enhancing an agent's strategic ability by evaluating opponents' cognition.

Professionalization of Pedagogical Activity of Future Teachers, Formation of Communicative Competence as an Aspect of Neuropedagogy

The article reveals the relevance of the formation of the future teacher's communicative competence as a professionalization of the basic component of pedagogical activity and individual requirements for professional activity. The professional standard requires readiness for pedagogical activity, the basis of which is the formation of communicative competence of the future teacher, in particular in the context of the neuropedagogical approach. The authors highlight the approaches to the formation of students' communicative skills in the process of studying a block of pedagogical disciplines during the period of obtaining a pedagogical education. The paper asserts the need to follow a systematic approach in the formation of communicative competence as a dominant component of the professional competence of the future novice teacher. The effectiveness of his pedagogical activity, as the authors note, is determined by the content of the "communicative portrait" of students - future teachers, the effectiveness of the educational process depends on this. Such a position requires a new approach based on neuropedagogical components. It is the communicative knowledge, abilities and skills of the future teacher that will allow building the trajectory of object-subject and subject-subject interaction in a holistic educational process. A key component of communicative competence is the teacher's communicative culture, which ensures the effective construction of direct and feedback communication with the participants of the educational process. Professional activity always requires from the future teacher the ability to build strategy, tactics and techniques of subject-subject interactions, to organize joint activities with students to achieve educational goals.

The Frechet Reliability for (2+2) Cascade Model

In this paper, a reliability function for one of the cascade models was found; the model consists of two basic components (B_1 and B_2 ) and two spare components (B_3 and B_4 ), and it is sufficient for the model to be in a working state with the presence of two active components and, in case of failure of one of the two basic components, it is compensated with one of the two standby components to keep the model running. It was assumed that the strength-stress factors traced the Frechet, the parameters of the Frechet were estimated by three different estimation methods (Moments, Least Squares and Weighted Least Square,), after which the reliability of the model was estimated. Monte Carlo simulations were also conducted to compare the results and find out which estimation methods are the best to estimate the reliability of the model using two statistical criteria: MSE and MAPE, where it was presented that least square estimation is the preferred for estimating the function of reliability.

PRONOUCIATION BASED SECOND LANGUAGE LERNERS’ USE

The current study is an attempt to examine the extent of the students ‘applying of some aspects of English pronunciation relating to vowels, consonants, stress, connected speech and homophones. The sample of the study is 23 students enrolled in the seventh and eighth semesters in the English Department in Almarj Faculty of Education during the academic year, 2022. The aim of this study is to discover the extent of applying the aspects of vowels, consonants, stress, connected speech and homophones when speaking in English language. Data were collected through using a recording oral test, which consists of some questions relating to the topic of the study, that was applied to the whole sample of the study. Date were analyzed according to the assessment criteria posited in the study. The results of the study revealed that the majority of the participants showed a low level of performance when using the basic elements of English pronunciation. Some recommendations were offered to help both the teacher and the students in improving and highlighting the quality of learning and teaching the basic components of English pronunciation.

RELATIONSHIP OF LEAD WITH FREE RADICALS, REACTIVE OXYGEN SPECIES, OXIDATIVE STRESS AND ANTIOXIDANT ENZYMES

Heavy metals, which are high in the environment, are substances that have a high toxic effect even at low concentrations. Heavy metals taken into the organism through mouth, respiration and skin cannot be eliminated by the body's excretory pathways. In addition, since they have a durable structure, they participate in the food chain and accumulate in various body tissues. With the increase in industrial activities, heavy metal pollution has also emerged and has increased day by day. Lead is an element that is widely used in industry because it has a low melting temperature. However, it is known that lead, like other heavy metals, has an effect on problems such as environmental pollution and health problems. Occupational diseases such as lead poisoning occur as a result of direct exposure to lead. Direct exposure in this way can also cause death. Lead causes undesirable conditions such as increase of reactive oxygen species (ROS), emergence of oxidative stress and weakening of antioxidant system. Lead disrupts the prooxidant/antioxidant ratio. As a result, effects such as an increase in ROS and thus damage to the basic components of the cell such as lipid, protein and nucleic acid are observed.In particular, lead inhibits enzymes and prevents some enzymes from acting as antioxidants. As a result of exposure to lead, there is a decrease in the defense abilities of antioxidant enzymes such as catalase (CAT), superoxide dismutase (SOD), glutathione (GSH) and ascorbic acid in blood and tissues. Lead increases lipid peroxidation and thus causes oxidative damage. Evaluation of the effect of lead at the cellular level is important in terms of developing solutions for the toxic effects of lead. In this study, the effect of lead on the cellular level in the organism and its effects on free radicals, ROS and oxidative stress were evaluated.

Advancing Web Development - Enhancing Component-Based Software Engineering and Design Systems Through HTML5 Customized Built-in Elements

The evolution of web development has been significantly influenced by the introduction of HTML5 Web Components, particularly customized built-in elements. This paper explores the transformative impact of these elements on Component-Based Software Engineering (CBSE) and Design Systems. Customized builtin elements, as an integral part of the Web Components standard, offer unparalleled flexibility and functionality, enabling developers to create bespoke HTML elements that encapsulate specific behaviors and styles. This adaptability is pivotal for CBSE, facilitating the modularization of complex applications into more manageable components. This research delves into how customized built-in elements enhance Design Systems, ensuring visual consistency and superior user experience across digital applications. By adapting these elements to align with an application's design language and brand identity, a seamless and visually cohesive interface is achieved. The paper also examines the cross-browser compatibility, performance optimization, and security considerations associated with implementing these elements, emphasizing their critical role in efficient web application integration. Furthermore, the paper highlights the significance of these elements in contemporary web development scenarios, including Internet of Things (IoT) applications, e-commerce platforms, and educational technologies. The interaction of these components with Progressive Web Apps (PWAs) is also explored, showcasing potential improvements in web experiences. In conclusion, the paper underscores the necessity of addressing challenges such as browser standardization and developer tooling to fully realize the potential of HTML5 customized built-in elements. The discussion concludes with an outlook on the future of these elements, projecting their continuing influence in advancing the field of web development.

A microfluidics-free centrifugally-driven nano-liquid pipetting system (CNPS) for single-cell whole genome amplification

We developed a microfluidics-free centrifugally-driven nano-liquid pipetting system (CNPS) for single-cell whole genome amplification. The capillary tube and the collection vessel (PCR tube or 96-well PCR plate), both of which are easily accessible, make up the basic components of the system. Unlike microfluidic chips that need a clean room and special skills to fabricate, the CNPS can be assembled in the typical biology laboratory without any special training. Centrifugation is used to directly pipette the nanoliter-volume liquid into the collection tube, which eliminates the requirement for extra equipment. The CNPS, which is compatible with the standard handheld pipette, allows for a smooth transition between the micro and macro worlds, thereby overcoming the problem of retrieving nanoliter-volume products. We further demonstrated the feasibility of the CNPS for nanoliter-volume single-cell multiple displacement amplification. Based on the sequencing results, the mapped reads cover on average 95.23%, 95.15%, and 80.94% for Saccharomyces cerevisiae, Escherichia coli, and Staphylococcus epidermidis, respectively. In sum, the CNPS has the potential to become an alternative powerful platform for single-cell genome sequencing with the ability to manipulate ultra-small volumes, as well as to enhance precision and sophistication by significantly minimizing sample losses and reducing amplification bias.

Optofluidic tunable filters using ionic liquid electrolyte capacitors.

Tunable optical filter is a basic component for most optical systems. This study reports a unique design of Fabry-Pérot (FP) tunable filter by using an ionic liquid solution. The tunable filter consists of two neighboring regions: capacitor region and FP region. The former is in the form of electrolyte capacitor and the latter remains transparent as an FP cavity for light transmission. When the capacitor region is applied with a bias voltage, it attracts the ions from the FP region and thus reduces the ion concentration of the FP region, resulting in a change of the refractive index and eventually a shift of transmission peak of the FP cavity. Among four electrolyte solutions studied, 1-butyl-3-methylimidazolium hexafluorophosphate (BMIM-PF6) exhibits the best overall performance, such as low insertion loss (3.2 dB), large side mode suppression ratio (23 dB) and high stability (drift <0.2 nm). Additionally, a wavelength tuning of 0.17 nm/V is achieved over 0-17 V, providing a tunable range of 3 nm. This device features low bias voltage, no mechanical movement, easy fabrication and seamless integration with microfluidics systems, and may find potential applications in spectral analyzers and lab-on-a-chip biosensing systems.

Efficacy and safety of nanoparticle albumin-bound paclitaxel in taxane-pretreated metastatic breast cancer patients.

Taxanes are the basic components of breast cancer chemotherapy. Nanoparticle albumin-bound paclitaxel (nab-paclitaxel) shows improved antitumor effects because of more targeted delivery. However, the effects of nab-paclitaxel have not been systematically studied in patients with metastatic breast cancer (MBC) pretreated with taxanes. Considering the limited treatment options for MBC, this study retrospectively evaluated the clinical efficacy and adverse effects of nab-paclitaxel in patients with taxane-pretreated MBC. Patients who had previously received taxanes and subsequently received nab-paclitaxel chemotherapy for MBC at Jiangsu Cancer Hospital between October 2014 and April 2022 were included for analysis. The primary end point was progression-free survival (PFS), and the secondary end points were the objective response rate (ORR), disease control rate (DCR), clinical benefit rate (CBR), and side effects. A total of 236 female patients with MBC were included. The median PFS was 7.20months (95% confidence interval [CI], 6.63-7.80months), and the ORR, DCR, and CBR were 29.55% (95% CI, 23.50%-35.60%), 83.64% (95% CI, 78.70%-88.60%), and 56.36% (95% CI, 49.80%-63.00%), respectively. Following nab-paclitaxel treatment, the median PFS of patients who were sensitive to taxanes during previous treatments was significantly longer than that of patients who were resistant to taxanes (7.57months vs. 4.43months, p<.001). The most common adverse events were sensory neuropathy (89.83%), neutropenia (48.73%), leukopenia (46.61%), and anemia (35.59%). Nab-paclitaxel demonstrated clinical activity in taxane-pretreated patients with MBC. This beneficial effect was observed both in patients who were sensitive and resistant to taxanes during previous treatments. These results suggest nab-paclitaxel as the preferred chemotherapy regimen in patients with MBC, regardless of their sensitivity to taxanes during previous treatments.

Hermann Schmitz and the ”New Phenomenology of sports”. A programmatic outline

ABSTRACT Phenomenology has long been one of the basic theoretical and methodological approaches in sports philosophy. Among the many varieties of philosophical phenomenology, phenomenological sports research mainly uses the approaches of Edmund Husserl, Martin Heidegger and Maurice Merleau-Ponty. Another phenomenological author who has so far remained almost completely unknown to international sports philosophy is German philosopher Hermann Schmitz (1928–2021). Schmitz named his phenomenological approach “New Phenomenology” since he had broken with some basic assumptions of ‘old’ phenomenology (e.g. neither construing his phenomenology as a philosophy of consciousness nor conducting a view of the essence) and also discovered new areas of phenomena (e.g. felt body, atmospheres, expansive and directional space). Moreover, Schmitz considered his New Phenomenology to be an empirically oriented science. This article aims to introduce Schmitz’s approach into the international discussion on sports philosophy. In particular, it is shown how New Phenomenology is an enrichment for phenomenological sports research. To that end, the article outlines the basic idea and central components of New Phenomenology. The main focus rests on four concepts, whose analytical potential is illustrated using selected sports phenomena: felt-bodily experiences, (transhuman) felt-bodily communication, private and common atmospheres, as well as situations as an ontological concept and empirical phenomenon. This provides an outline of the program for a “New Phenomenology of sports”. The article advocates for its further elaboration and to that end offers theoretical, methodological and empirical suggestions.

Individual subpulses of PSR B1916+14 and their polarization properties

ABSTRACT The individual subpulses of pulsars are regarded as their basic emission components, providing invaluable information for our understanding of the radio emission process in the pulsar magnetosphere. Nevertheless, subpulses are overlapped with each other along the rotation phase for most pulsars, making it difficult to study the statistical properties of subpulses. Among the pulsars observed by the Five-hundred-meter Aperture Spherical radio Telescope (FAST), PSR B1916+14 has a large number of isolated well-resolved subpulses in the high-time-resolution observations, having a typical width of 0.15 ms and a high linear polarization. We find that the number distribution of subpulses contributes dominantly to the mean profile. According to the emission geometry, these emission units come from a region roughly 155 km above the polar cap in the pulsar magnetosphere, and the length-scale of the basic emission units is approximately 120 m. The deviations of the polarization position angles for these single subpulses from the standard S-shaped curve are closely related to their fractional linear and circular polarization, and the large deviations tend to come from drifting subpulses.

Molecular circuit for exponentiation based on the domain coding strategy.

DNA strand displacement (DSD) is an efficient technology for constructing molecular circuits. However, system computing speed and the scale of logical gate circuits remain a huge challenge. In this paper, a new method of coding DNA domains is proposed to carry out logic computation. The structure of DNA strands is designed regularly, and the rules of domain coding are described. Based on this, multiple-input and one-output logic computing modules are built, which are the basic components forming digital circuits. If the module has n inputs, it can implement 2n logic functions, which reduces the difficulty of designing and simplifies the structure of molecular logic circuits. In order to verify the superiority of this method for developing large-scale complex circuits, the square root and exponentiation molecular circuits are built. Under the same experimental conditions, compared with the dual-track circuits, the simulation results show that the molecular circuits designed based on the domain coding strategy have faster response time, simpler circuit structure, and better parallelism and scalability. The method of forming digital circuits based on domain coding provides a more effective way to realize intricate molecular control systems and promotes the development of DNA computing.

Platform Supporting Intelligent Human–Machine Interface (HMI) Applications for Smart Machine Tools

As the Internet of Things, artificial intelligence, and the fourth industrial revolution advance, smart factories and machines increasingly gain intelligent features that enable the integration of more sophisticated functionalities. Approaches to achieving this intelligence involve both internal systems, such as human–machine interface (HMI), and external systems, such as big data platforms and cloud services. Although current research leans toward studying external systems, accomplishing intelligent functions through such means poses more challenges in achieving real-time responses during machining processes than using internal systems. When intellectualizing machine tools through internal HMI systems, three critical issues must be addressed. First, HMI functions are structured to depend on the HMI itself, leading to a ripple effect where a problem occurring in one HMI function impacts the entire system. Second, owing to differences in development tools and programming languages, the interconnectivity between functions developed by multiple stakeholders to be loaded onto the HMI may suffer, leading to potential inefficiencies and increased maintenance costs. Third, although various types of computer numerical control (CNC) machines need to communicate with the HMI function, the diverse communication methods and development tools used by each CNC manufacturer result in identical intelligent functions being developed separately for each CNC type. To address these challenges, this study proposes an innovative HMI platform capable of executing and developing various intelligent functions. The HMI platform and its major components are designed and implemented through component-based development (CBD). Subsequently, the performance and effectiveness of the platform are validated using quality attribute scenarios.