Display Of Information Research Articles

Calorimetric Measurements of a High-Power RF Signal

Development of a high-power RF signal meter based on the method of calorimetric measurements, which in some cases is the only possible one is presented. The device is as a system of elements exchanging either energy or information, the operation and interconnection of which ensures the stability of its functioning. The main elements of the device are: a coordinated load and a two-circuit water-air cooling system that convert RF energy first into thermal electrical energy, and then into internal energy of the coolant (working fluid). The measurement and control system provides information display on the monitor and generation of internal control signals. The work focuses on the process of converting electromagnetic energy into internal energy of the coolant, since the matched RF load is integrated into the cooling system and requires special design and technological solutions to ensure efficient operation. A cooling and measurement system has been designed to test the developed RF absorber with a power of up to 5 kW. The parameters of the cooling system were determined based on minimizing the time to achieve thermal equilibrium (time to establish readings) and the set parameters (input temperature no more than 35 °С, temperature difference no more than 40 °С). Based on calculations of the electrodynamic model constructed by the partial domain method, the geometric dimensions were determined at which the voltage standing wave ratio of the load in the operating frequency range (from DC to 1300 MHz) will be the smallest. The article presents the results of designing a high-frequency wattmeter cooled by a liquid (water), examines the thermophysical processes occurring in it and the influence of the presence of a coolant in the cooling circuit.

Spectral phase-based valence state conversion manipulation in BaFCl: Sm³+ nanocrystals for multilevel information recording and display

Spectral phase-based valence state conversion manipulation in BaFCl: Sm³+ nanocrystals for multilevel information recording and display

Survey on the Impact of Historical Museum Exhibition Forms on Visitors’ Perceptions Based on Eye-Tracking

Exhibition design in museum space is of great significance in enhancing cultural attraction, visitor experience, and heritage conservation. With the growth of spiritual and cultural needs, the construction of museums has increased, but the quality of exhibitions has been improved to a limited extent. In order to explore visitors’ perceptual experience in terms of display forms, this paper combines eye-tracking technology and subjective evaluation to select three display forms, namely, stand-alone display form, combined picture and object form, and combined 3D object and physical form, for the research. Combining field research, eye-tracking experiments, and subjective questionnaire evaluations, this study explores the relationship between visual perception and emotional experience in different display formats. The results showed that (1) the effects of different display formats differed between visual perception and emotional experience, and (2) there is some correlation between visual perception and emotional experience. Specifically, the number of fixations sessions was negatively correlated with fun, richness, comfort, and attractiveness and positively correlated with authenticity, while the average fixation time was positively correlated with the former and negatively correlated with authenticity. Combining the two dimensions, the study concluded that visitors’ experience satisfaction and preference are high in response to the form combining 3D objects and physical objects; the exhibition form of combining pictures and physical objects produces a higher degree of cognition in a short period of time; and the stand-alone display form has the lowest degree of preference, with poor information retention among visitors. It is hoped that this study will provide some reference for the use of exhibition forms in historical museums.

The suitability of skilled talent training in higher vocational colleges based on AI and 5G network connection in the context of educational transformation and upgrading

The development of artificial intelligence (AI) and 5G network technology has changed the production and lifestyle of people. AI also has promoted the transformation of talent training mode under the integration of college industry and education. In the context of the current transformation of education, AI and 5G networks are increasingly used in the education industry. This paper optimizes and upgrades the training mode of skilled talents in higher vocational colleges by using its advanced methods and technologies of information display. This means is helpful to analyze and solve a series of objective problems such as the single training form of the current talent training mode. This paper utilizes the principles and laws of industry university research (IUR) collaboration for reference to construct and optimize the talent training mode based on the analysis of the requirements of talent training and the role of each subject in talent training. Then, the ecological talent training environment can be realized. In the analysis of talent training mode under the cooperation of production and education, the correlation coefficients of network construction, environment construction, scientific research funds, scientific research level, and policy support were 0.618, 0.576, 0.493, 0.785, and 0.451, respectively. This showed that the scientific research level had the greatest impact on talent training in the talent training mode of IUR collaboration, while policy support had less impact on talent training compared with other factors. The combination of AI and 5G network technology with the talent training mode of IUR cooperation can effectively analyze the influencing factors and problems of the talent training mode. The hybrid method is of great significance to the talent training strategy and fitting degree.

Device to Measure, Monitor and Control Variables for Agricultural Purposes

The measurement of meteorological variables is important for decision-making in the field. Accurate data can help farmers optimize their activities to improve food production. Traditional methods of monitoring variables can be expensive or complex for small-scale farmers to use. This indicates a need for low-cost and user-friendly devices. Currently, there is technology for developing these types of devices, which could be useful to automate processes based on variable monitoring and improve food production. Due to this, a device based on the Arduino Mega<SUP>TM</SUP> board was developed to monitor air temperature, relative humidity, rain, and soil moisture. In addition, equipment was developed to be controlled based on a rain gauge. The device has a TFT touch screen for easy-user interaction and 4 menus for information display (summary, floor, date-time and manual equipment control). The program of the device required more lines of code (59.65%) to establish user-device interaction compared to its internal processes (18.66%) and variable declarations (21.68%). A container was 3D printed to house all the integrated circuits and the device was tested under both indoor (Jun-10, 2024 to July-17, 2024) and outdoor (Jul-22, 2024 to Aug-18, 2024) conditions. Under indoor conditions, a 3% difference was found in the temperature measurements taken under the same conditions (using DS18B20 and MLX90614 sensors). Under outdoor conditions it was found that the air temperature decreased by an average of 2.33°C when increasing the height from 8ft to 16ft and the relative humidity decreased by an average 3.48% when increasing the height from 8ft to 16ft. There was a 3.4% difference in total rain measured by the rain gauges. Finally, the developed device performed adequately during the two months of testing in both conditions, measuring variables and controlling equipment (the equipment went from waiting mode to rain harvesting mode 92 times).

Cloning, Expression, and Purification of Phage Display-Selected Fab for Biophysical and Biological Studies.

The antigen-binding fragment (Fab) is the ∼50-kDa monovalent arm of an antibody molecule. In the laboratory, the Fab can be produced via either enzymatic digestion or recombinant expression, and its use facilitates the accurate assessment of affinity and specificity of monoclonal antibodies. The high melting temperature of the Fab, together with its low tendency to aggregate and ready conversion to natural and nonnatural immunoglobulin (Ig) formats (without affecting antigen binding properties), have made it a preferred format for phage display, as well as a tool for accurate assessment of affinity, specificity, and developability of monoclonal antibodies. Here, we outline a strategy to clone, express, and purify human or chimeric nonhuman/human Fabs that have previously been selected by phage display. Fabs purified using this approach, which results in milligram amounts, enable a variety of downstream biophysical and biological assays that ultimately inform the success of phage display library generation and selection.

Generation of Antibody Libraries for Phage Display: Chimeric Rabbit/Human Fab Format.

Rabbit monoclonal antibodies are attractive reagents for research, and have also found use in diagnostic and therapeutic applications. This is owed to their high affinity and specificity, along with their ability to recognize epitopes conserved between mouse and human antigens. Phage display is a powerful method for the de novo generation, affinity maturation, and humanization of rabbit monoclonal antibodies from naive, immune, and synthetic antibody repertoires. Using phagemid family pComb3, a preferred phage display format is chimeric rabbit/human Fab, which consists of rabbit variable domains (VH, Vκ, and Vλ) fused to human constant domains. The human constant domains, CH1 of IgG1 and CL (Cκ or Cλ), not only provide established purification and detection handles but also facilitate higher expression in Escherichia coli compared to the corresponding rabbit constant domains. Here, we describe the use of a pComb3 derivative, phagemid pC3C, for the generation of chimeric rabbit/human Fab libraries with randomly combined rabbit variable domains of high sequence diversity, starting from the preparation of total RNA from rabbit spleen and bone marrow. Depending on the complexity of the parental antibody repertoire, the protocol can be scaled for yielding a library size of 108-1011 independent chimeric rabbit/human Fab clones. As such, it can be used, for instance, for the generation of either specialized immune or large naive rabbit antibody libraries.

Pyrene-encapsulated light-emitting π-conjugated polymer with excellent ozone tolerance capacity for large-area and flexible ultra-deep-blue PLEDs with CIEy = 0.08

Emerging flexible polymer light-emitting diodes (PLEDs) are crucial for the development of information display and solid lighting. However, achieving ultrastable light-emitting polymers with robust emissions and outstanding chem-physic stabilities, remains a serious challenge due to the intrinsic oxidative and degrading properties of aromatic units. Herein, we present a universal and convenient pyrene-encapsulation strategy to enhance the ozone tolerance capacity of deep-blue light-emitting conjugated polymers (PPyDPF) for the narrowband flexible PLEDs. More intestingly, compared to the comparison polymers, PPyDPF showed a lower free volume ratio of 71.78 %, facilitating dense interchain packing, which contributes to its excellent ozone tolerance capacity. Large-area PLEDs were fabricated, which exhibit ultra-deep-blue emission with a FWHM of 40 nm and Commission internationale de l’éclairage (CIE) coordinates of (0.16, 0.08). The demonstrated potential for application in light-emitting devices underscores the significance of this approach, providing an effective strategy for developing aging-resistant light-emitting conjugated polymers for optoelectronic applications.

Multi-key optical anti-counterfeiting and information storage based on multi-mode excitation-emission of upconversion nanocrystals and metal chlorides

Anti-counterfeiting has become a crucial global issue. Traditional anti-counterfeiting technology is easy to be imitated because of its low security, so it is urgent to develop an optical information encryption strategy with higher security level. In this study, a multi-key optical anti-counterfeiting and information storage strategy based on upconversion nanocrystals (UCNPs) and metal chlorides under multi-mode excitation-emission is proposed. Based on the optical properties of four orange luminescent materials (OLM), the distinguishable excitation mode (UV, NIR) and good afterglow characteristics are used to encrypt, decrypt and store real information. Finally, based on this characteristic, we propose an information encryption strategy for binary digit-ASCII encoding and digital information display. Under the irradiation of 254 nm excitation light, the real information is hidden, the “excitation wavelength key” and “capture time key” are used to read the correct information. This multi-key anti-counterfeiting strategy hides real information by interfering with information, which greatly improves the security level of anti-counterfeiting and is very promising in anti-counterfeiting applications.

Application of the upgraded design of the STM32F103 battery monitoring system based on hospital power

This paper presents a battery monitoring system based on an STM32F103 microcontroller for hospital power applications. The system adopts a modular design to improve reliability and maintainability. It can monitor the terminal voltage and alternating current (AC) impedance of each battery in a battery pack with up to 128 cells, as well as the ambient temperature, relative humidity and hydrogen concentration. The device includes a keyboard for parameter input, an liquid crystal display (LCD) for information display, and multiple communication interfaces. The proposed solution can automatically monitor the battery voltage and AC impedance. It also provides alarms to greatly improve the stability of hospital power system operation and reduce the workload of maintenance personnel.

Profitability Indicators: Critical Analysis and Applicability in Modern Conditions

Constant variability of the external environment is one of the key features affecting the business activity of domestic organizations and generates the need for constant updating of managers’ professional skills. The issues of assessment efficiency of commercial companies are always relevant not only for owners, but also for managers, employees and other stakeholders. In the conditions of economic instability, the interest to the indicators of organizations’ efficiency increases and, accordingly, their clarification and adjustment is required. and adjustment. The purpose of the study is to summarize the profitability indicators depending on the goal-setting of the participants of commercial organizations and to establish the possibility of using these indicators to assess the effectiveness of the company’s activities. Many years of experience of the authors of this article in the field of business valuation allowed to systematize the techniques of calculation of the main profitability indicators, to present an updated system of their grouping, as well as to classify the factors affecting them. Also, theoretical approaches to the calculation of invested capital were generalized in the course of the work. The research applied the methods of analysis, comparison, synthesis, classification, collection and generalization, logic, graphical and tabular display of information. Theoretical significance of the obtained results consists in the development of the methodology of value-oriented management in order to actualize and adapt the algorithms for calculating profitability indicators to domestic conditions, taking into account the interests of the participants of the organization. The practical significance of the work consists in the development of methods for assessing the performance indicators of the company, which can be used in the corporate governance of commercial structures, as well as in making management decisions by stakeholders.

Development of a T2D App for Elderly Users: Participatory Design Study via Heuristic Evaluation and Usability Testing

Diabetes management applications effectively help patients monitor blood glucose levels and adjust diet and exercise plans. However, most diabetes management apps, including the SugarShift application developed in 2023, use generalized designs that often fail to consider the unique cognitive and physiological characteristics of elderly users, thereby impacting their acceptance and usage. This paper proposes an enhancement for the SugarShift application by introducing a mode specifically designed for elderly users. This proposed enhancement aims to directly involve elderly patients so as to meet their needs better through a participatory design approach. A heuristic evaluation conducted with six experts identified 126 usability issues and 179 heuristic violations in the current version, which has led to the recommendation to develop optimization strategies tailored for elderly users. Subsequent usability testing with 28 elderly patients and six experts emphasized the importance of interface simplicity, logical operation, and interaction quality in enhancing user experience. These factors improve usability, facilitate information processing, and reduce cognitive load. Despite the overall usability of SUS scores, significant challenges still need to be addressed in information display, system feedback, and user interaction. Recommendations for future enhancements include simplifying data entry and presentation, improving readability, and providing timely feedback to enhance usability and user satisfaction, ultimately increasing user retention.

The Effect of Time Display Format on Cognitive Performance of Integrated Meteorological Radar Information.

A proper time display format is essential for pilots to understand integrated meteorological radar information, thereby making informed flying decisions and steering clear of hazardous weather. Previous studies on time display format supported the advantages of digital format, while some studies found that analog clock format is superior to digital format. This study explored the effect of time display format on the cognitive performance of integrated meteorological radar information through two experiments. Experiment 1 first examined the effects of digital and analog clock displays on the timing of individual processing advance or delay changes in a general scenario. Then, Experiment 2 was conducted in a simulated flight scenario to investigate the advantages and disadvantages of digital and analog clock display in delay time processing with and without time pressure. The results showed the following: (1) Analog clock has more advantages than digital display format in processing the varying time difference. (2) Whether with or without time pressure, analog clock is more conducive to individual cognition of integrated meteorological radar information than digital time display. (3) The length of delay time is an important factor affecting individual time cognition, and it can also affect the cognition of radar information. The longer the delay time, the more difficult it is to identify the time and understand the information. These findings provide a certain reference for the design of the integrated meteorological radar information display interface.

Speech Delay and Excessive Gadget Usage: Understanding Pathophysiology Mechanism and Prevention Target Among Children Population

In this state of modern era, usage of electronic gadget has increased excessively with the last ten years. Usage of devices has increased especially among children and adolescent population as a form for information display, education, and entertainment. Problems that arise of electronic gadget usage among children and adolescent population is excessive usage, which defined as usage of gadget over two hours per day. The huge pitfall of this phenomenon is the increasing incident of developmental delay within children population, specifically speech delay. Speech delay development found to be high prevalent in children under five years old, and there are several studies that have discussed correlation between speech delay and excessive usage of gadget. These studies have found that speech delay that led by excessive usage of gadget could occur due to understimulation of certain brain regions that involved in words sensory and recognition, and speech motoric ability, especially during neurodevelopmental period. Understanding of pathophysiology mechanism between speech delay and excessive gadget usage is important for every healthcare provider to educate family and creating preventive strategies from individual, family, and community aspect.

Thermal response color-tunable electroluminescent device for real-time visual temperature monitoring

Alternating current electroluminescent (ACEL) devices have attracted tremendous attention due to their significant applications in bioinspired electronics, smart wearables, and human-machine interfaces. However, it still faces limitations in real-time visual temperature sensing. Herein, a universal strategy is established to achieve real-time temperature dynamic visualization by integrating a thermochromic layer through a simple spin coating procedure. Such elaborate integration permits the device to display a wide array of luminous colors and achieve high-contrast color transitions in response to ambient temperature variations. More importantly, a quantitative relationship can be established between the temperatures and the luminous color changes. This advancement not only enhances multi-color emission capabilities but also enables the display of diverse information, marking a significant stride in the development of dynamic temperature sensing in ACEL devices.

Enhanced Agile Methodology for Ontology Development in E-Learning Environments

This study explores the use of agile approaches to the creation of ontologies for e-learning, evaluating the benefits and drawbacks as well as the impact on information display. Traditional strategies conflict with the need to fulfill the ever-evolving expectations of users and adapt to the ever-changing features of e-learning environments. The challenge aims to encourage cooperation and versatility in the creation of ontologies for e-learning through the use of Agile standards. Because they make it simpler to organize relationships and statistics, ontologies are vital elements in e-mastering domain names due to the fact that they permit adaptive knowledge of structures and individualized learning experiences. Agile ontology engineering approaches are proposed as a choice for one’s problems, emphasizing flexibility and response. This study highlights the need to work together with customers and incorporate their input into the advent of ontologies. It notably emphasizes using established feedback loops and cooperation with e-learning platform companies. The sensible usefulness and effectiveness of agile methodology for ontology development (AMOD) in e-learning settings are shown through validation efforts in real-global conditions.

Efficient Departmental Coordination: Real-Time Schedule Display using Arduino

This project tackles the time-consuming task of schedule management for Heads of Departments (HODs) by developing a dynamic, automatic display system. Utilizing an Arduino microcontroller, an RTC module, and a P10 LED display (16x32), the system displays their one-week schedule in real-time, updating automatically each day. Bluetooth connectivity empowers adjustments to the schedule through an external device, offering flexibility and control. Utilizing a P10 LED display for clear visibility, it automatically updates with the real-time clock. Schedule information is embedded within the code for reliability, and the display format is divided for time and detailed schedule. Prioritizing eco- friendliness, it uses low-power components. This project aims to improve departmental communication, transparency, and efficiency by providing a clear and accessible platform for HOD schedule information.

VAEnvGen: A Real-Time Virtual Agent Environment Generation System Based on Large Language Models

Environment plays an important role in non-verbal communication for human-virtual agent interaction. Existing research explores the influence of an agent’s appearance and attributes to enhance human-virtual agent communication. However, there is no common practice for dynamically adjusting the surrounding environments of the virtual agent. In this paper, we introduce a real-time virtual agent environment generation system (VAEnvGen), which contributes to the field by enhancing users’ content perception and improving task performance through dynamic environment adjustment. The system dynamically analyzes both the appropriate communication environment and filters the key information according to the current context. Leveraging Large Language Models, it generates a pseudo-3D background space to create an engaging atmosphere and a dynamic foreground content space for vivid key information display, thereby significantly enhancing content perception. For widespread adoption and flexibility, VAEnvGen is developed as a web application. We further evaluate the impact of VAEnvGen on content perception, user attention, and subjective satisfaction through a mixed-design user study with 50 participants. Quantitative and qualitative results reveal significant improvements in content perception, task completion time, and user satisfaction when using VAEnvGen. The system effectively redistributes user attention from subtitles and the virtual agent itself to the dynamically generated background and key foreground information, leading to a more immersive and less fatiguing user experience.

Room-Temperature Persistent Phosphorescence of Aggregated Gold Nanoclusters under Molecular Crystal Confinements.

We report color-tunable and solvent-processable persistent fluorescence to phosphorescence switching at room temperature by doping gold nanoclusters (AuNCs) inside molecular crystals. This provides a significant insight into the tunability of the photoluminescence property of the dopant depending on the crystal environment and compactness of confinement, with the possibility of energy transfer from crystal to aggregated AuNCs. For test cases, we have doped histidine-stabilized AuNCs (HIS-AuNCs) inside histidine (HIS-AuNCs-HIS) and isophthalic acid (HIS-AuNCs-IPA) crystals, respectively, and glutathione-stabilized AuNCs (GSH-AuNCs) inside histidine crystals (GSH-AuNCs-HIS). The maximal phosphorescence decay time recorded for crystal doped aggregated AuNCs was 9.38 ms, and the photoluminescence quantum yield value was measured as 25%. The possible energy states and potential interactions between aggregated NCs and host crystals were accounted for through density functional theory calculations and docking techniques, respectively. This finding opens new possibilities for designing and producing color-tunable persistent AuNC-based luminous crystals for multilayer information encryption, display, and biological applications.

SmartDetector: Automatic and vision-based approach to point-light display generation for human action perception.

Over the past four decades, point-light displays (PLD) have been integrated into psychology and psychophysics, providing a valuable means to probe human perceptual skills. Leveraging the inherent kinematic information and controllable display parameters, researchers have utilized this technique to examine the mechanisms involved in learning and rehabilitation. However, classical PLD generation methods (e.g., motion capture) are difficult to apply for behavior analysis in real-world situations, such as patient care or sports activities. Therefore, there is a demand for automated and affordable tools that enable efficient and real-world-compatible generation of PLDs for psychological research. In this paper, we propose SmartDetector, a new artificial intelligence (AI)-based tool for automatic PLD creation from RGB videos. To evaluate humans' perceptual skills for processing PLD building with SmartDetector, 126 participants were randomly assigned to recognition, discrimination, or detection tasks. Results demonstrated that, irrespective of the task, PLDs generated by SmartDetector exhibited commendable perceptual performance in terms of accuracy and response times compared to literature findings. Moreover, to enhance usability and broaden accessibility, we developed an intuitive web interface for our method, making it available to a wider audience. The resulting application is available at https://plavimop.prd.fr/index.php/en/automatic-creation-pld . SmartDetector offers interesting possibilities for using PLD in research and makes the use of PLD more accessible for nonacademic applications.