Integrated Design Research Articles

Factors Influencing the Provision of Healthcare Professional-Led Sexual Support to Patients with Cancer and Their Partners: An Integrative Review of Studies from 2017 to 2022

Abstract Introduction Patients with cancer and partners often face difficult and enduring sexual concerns. Reviews up to 2017 identified that the provision of a healthcare professional (HP)-led sexual support was not routine practice. Since 2017, there has been a burgeoning growth in research and evidenced-based interventions targeting HP’s sexual support provision in cancer care. Therefore, this review presents a synthesis of HP-led sexual support and factors impacting provision in cancer care from 2017 to 2022 to ascertain if sexual support in clinical practice has changed. Methods Using an integrative review design, searches were performed on five electronic databases (CINAHL, MEDLINE, ProQuest, PubMed and PsycInfo), Google Scholar and manual review of reference lists from 2017 to 2022. Data extracted from studies meeting predefined inclusion/exclusion criteria was synthesised using thematic analysis. Papers were appraised using the Mixed Methods Appraisal Tool. Results From the twelve empirical studies included, three themes were identified: (1) Theory–practice gap: HP’s recognition of the need to provide sexual support to patients with cancer and partners but current provision is lacking, (2) professional and organisational barriers to HPs providing sexual support for patients with cancer and (3) equipping HPs and enabling patients to discuss sexual challenges in cancer care could enhance delivery of sexual support. Conclusion Provision of HP-led sexual support in cancer care is still not routine practice and when provided is considered by HPs as sub-optimal. Policy Implications Providing HPs with education, supportive resources and referral pathways could enhance the provision of sexual support in cancer care.

Big Data-driven Decision Support: Enhancing Information Integration and User Experience with Mobile Integrated Technology

This study examines how big data-driven decision support and mobile technology interact to improve information integration and user experience. The research studies big data for digital decision-making and provides theoretical and practical suggestions to assist organizations in overcoming its challenges. This study used mixed method analysis to find the relationship between big data-driven user experience and mobile-integrated technology. Businesses require sophisticated decision support tools to navigate the digital landscape of massive data. Big data-driven decision support is examined to determine how information integration and user experience affect mobile-integrated technologies. A rigorous quantitative technique examines data volume and decision precision. Although big data volumes may have diminishing returns, decision-making generally improves. The study emphasizes the delicate balance between data volume, quality, velocity, diversity, and governance. Beyond quantitative analysis, the study examines complex decision-making. Information integration methods and user experience affect decision-making time, with more data offering strategic options. Agile integration and user-centric design boost efficiency and decision-making. The research highlights the change in mobile integrated technology. The title fits the research since mobile technology increases information integration and user experience. According to the study, mobile technology's user-friendly gadgets, quick internet connectivity, security safeguards, and app functionality boost user contentment, productivity, and decision-making accuracy. The report also emphasizes big data governance in decision quality. Decision support systems need big data governance for data access, accuracy, security, and compliance. Finally, this study provides theoretical insights into big data-driven decision support and practical suggestions for organizations navigating it. The study uses data, technology, user experience, and governance to improve business decision-making. This provides them with digital-era precision, agility, and strategic edge.

A Cross-Process Signal Integrity Analysis (CPSIA) Method and Design Optimization for Wafer-on-Wafer Stacked DRAM.

A multi-layer stacked Dynamic Random Access Memory (DRAM) platform is introduced to address the memory wall issue. This platform features high-density vertical interconnects established between DRAM units for high-capacity memory and logic units for computation, utilizing Wafer-on-Wafer (WoW) hybrid bonding and mini Through-Silicon Via (TSV) technologies. This 3DIC architecture includes commercial DRAM, logic, and 3DIC manufacturing processes. Their design documents typically come from different foundries, presenting challenges for signal integrity design and analysis. This paper establishes a lumped circuit based on 3DIC physical structure and calculates all values of the lumped elements in the circuit model with the transmission line model. A Cross-Process Signal Integrity Analysis (CPSIA) method is introduced, which integrates three different manufacturing processes by modeling vertical stacking cells and connecting DRAM and logic netlists in one simulation environment. In combination with the dedicated buffer driving method, the CPSIA method is used to analyze 3DIC impacts. Simulation results show that the timing uncertainty introduced by 3DIC crosstalk ranges from 31 ps to 62 ps. This analysis result explains the stable slight variation in the maximum frequency observed in vertically stacked memory arrays from different DRAM layers in the physical testing results, demonstrating the effectiveness of this CPSIA method.

Novel energy-efficient design of side-stream extractive distillation process with intermediate reboiler for separating multi-azeotropic mixture based on multi-objective optimization

Side-stream extractive distillation is extensively employed to separate azeotropic mixtures since its energy-efficient benefits. Nevertheless, its economic effect is not always obvious due to the introduction of expensive high-pressure steam. In this article, a conventional triple-column extractive distillation process is firstly researched for separating n-hexane/ethyl acetate/acetonitrile mixture. To effectively decrease the requirement for high-pressure steam and achieve a reduction in economic costs of side-stream extractive distillation, three innovative side-stream extractive distillation processes with intermediate reboiler are proposed. A multi-objective genetic method is applied to optimize the four processes with total annual cost (TAC) and entropy production as two objective functions. Additionally, due to the presence of intermediate reboiler, heat integration design is implemented to the three side-stream extractive distillation processes with intermediate reboiler. Compared to the triple-column extractive distillation process, the heat integration of the three side-stream extractive distillation processes with intermediate reboiler exhibit better performance considering economy, energy-efficient, and entropy production. It indicates that the heat integration of the double side-stream extractive distillation process with intermediate reboiler can reduce 20.10% of TAC, 29.65% of energy consumption, and 35.63% of entropy production, respectively.

Information-integration-based optimal coverage path planning of agricultural unmanned systems formations: From theory to practice

Industrial information integration engineering (IIIE) is an innovative research subject for analyzing complicated and large-scale systems. Autonomous and efficient path coverage of unmanned systems formations is an important subject of intelligent industrial agriculture. As one typical kind of complicated systems, agricultural unmanned systems formations are urgently required to optimize their operating trajectories. In this paper, an IIIE design for coverage path planning of the agricultural unmanned systems formations is presented as an IIIE application to verify the entire performances with considering the couplings between the formations and the working environment. In this design, one key concept of field-state iteration for information coupling integration is inherited and introduced in detail. Furthermore, its simulation models were developed based on structure (unmanned system agent structure and formation structure), geometry (map model and graph theory), dynamics (unmanned system agent model and formation model), and control (formation coverage path planning, formation control and trajectory recurrence) in the practice environments. The practice results were analyzed to validate the effectiveness of the proposed information integration design. Further, this paper puts forward a coverage path planning scheme for unmanned systems formations based on the rotating beam and improved probability roadmap algorithms, which can maintain 99.8% coverage rate, 0.08% repetition rate, and 0.007% redundant coverage rate while ensuring the optimal time. Then, two types of three-dimensional practice platform software including CarSim and Gazebo, are selected to graft the proposed algorithm into agricultural tractors formation and plant protection UAVs formation respectively, and the feasibility of the algorithm is verified under the condition closest to the real environment. Multiple experimentalresults demonstrate that the algorithm proposed in this paper has superior feasibility for engineering practice.

Design and Simulation for Technological Integration of Bio-Based Components in Façade System Modules

Driven by environmental sustainability concerns, the integration of bio-based components in curtain wall systems is gaining traction in both research and the construction market. This paper explores the development and validation of a bio-based façade system within the Basajaun H2020 project (2019–2024). The project aimed to demonstrate the feasibility of introducing environmentally friendly bio-based components into the mature curtain wall façade industry. The paper focuses on identifying technological solutions for replacing key components such as frame profiles, insulation, and the tightness system with bio-based and less environmentally impactful alternatives, presenting the results achieved in the façade system design of the Basajaun project. These solutions aimed at creating a bio-composite-based curtain wall façade that adheres to the current building envelope standards and normative, implementing diverse façade typologies for vision panels, opaque sections, and integrated windows and, moreover, engineering the prefabrication process for industrialization and enabling wider market replication and simplified transport and installation. The results demonstrate that the Basajaun façade successfully integrates selected components and meets the performance requirements set by regulations: the façade is designed to withstand a maximum and typical wind load of 3.5 kN/m2 and a typical load of 1.5 kN/m2, the weighted sound reduction index obtained is Rw = 44 dB, and the thermal transmittance of the vision façade is 0.74 W/m2K while that of the entire opaque façade is 0.27 W/m2K (an additional internal wall is required to achieve the requested thermal transmittance)—the values are in accordance with reference standards and design requirements. However, questions remain regarding the workability of bio-based profiles as a commercially viable, ready-to-market solution that can replace traditional aluminum profiles in the curtain wall façade industry.

Integrating inverse design and partially etched platform: an ultra-compact polarization splitter and rotator as an example

Silicon photonics devices benefit greatly from a partially etched platform and inverse design. Herein, we propose a bi-layer polarization splitter and rotator with a topology pattern and demonstrate it on a silicon-on-insulator platform. Our device exhibits a significantly reduced physical footprint of only 2µm×6µm, compared to traditional directional couplers and tapered waveguides. The device accomplishes the functions of polarization conversion and separation in such a compact design without redundant tapered or bending waveguides. The tested minimum insertion loss with the fabrication batch reaches 0.57 and 0.67 dB for TE and TM modes, respectively. The TE mode demonstrates a wider bandwidth and lower ILs than the TM modes, averaging around 1 dB from 1530 to 1565 nm. The M modes exhibit approximately 2 dB ILs at the same wavelength range, decreasing to about 1 dB between 1565 and 1580 nm. Improved designs and fabrication conditions strongly suggest the potential for further performance enhancement in the device. This successful initiative validates the exceptional performance resulting from the integration of the partially etched platform and inverse design, providing valuable insights for future photonic integrated device designs.

The investigation of flame-retardant fiber mats for high performance composites: flame retardancy and structure performance

The flame-retardant performance of carbon fiber reinforced composites serves as a critical metric for structural stability. Nonetheless, the prevalent methodologies for improving the flame retardancy of composites struggle to reconcile the dual objectives of flame retardancy and mechanical robustness, due in part to the constraints imposed by the conventional additive-based approach on the material interface. This study introduced a novel method involving a glass fiber mat, which was augmented with a polyurethane-based treatment integrated with flame-retardant substances, in particular ammonium polyphosphate and nickel hydroxide. This fiber mat was strategically applied to the composite surface, conferring both flame retardancy and enhanced structural resilience. The structure performance and flame retardancy of composites were characterized by Fourier transform infrared spectroscopy, scanning electron microscopy, and the cone calorimeter test. Experimental comparisons with nontreated controls indicated that the innovative composites exhibited a reduction in total heat release and total smoke production by 13.7% and 18.8%, respectively. Concurrently, a notable enhancement in mechanical properties was observed, with increases of 20.9% and 23.1% for tensile and flexural strength. This well-balanced performance is attributable to the structure design, with toughened glass fiber mats to protect the composite surfaces from structural failure, and flame-retardant agent composition for combustion resistance and smoke suppression. Consequently, the proposed integrative flame-retardant structural design, enriched with specific flame-retardant treatments, offers a promising avenue for fabricating high-performance composite materials with potential utility in the aviation and aerospace sectors.

Novel collector design and optimized photo-fenton model for sustainable industry textile wastewater treatment

Textile industry wastewater containing toxic dyes and high COD poses environmental hazards and requires treatment before discharge. This study addresses the challenge of treating complex textile wastewater using a novel integrated system. The system combines sedimentation, screening, adsorption, and an optimized solar photo-Fenton process to provide a sustainable treatment solution. A novel parabolic collector with a larger absorber tube diameter enhances solar radiation utilization at lower catalyst concentrations. This design is versatile, treating all types of wastewaters, especially those that contain colors, smells, solid and suspended materials, in addition to its importance for the treatment of difficult substances that may be present in industrial and sewage wastewaters that are difficult to dispose of by traditional treatment methods. Multivariate experiments optimized key photo-Fenton parameters (pH, catalyst dose, etc.) achieving significant pollutant removal (85% COD, 82% TOC, complete color) under specific conditions (pH 3, 0.2 g/L Fe(II), 1 mL/L H2O2, 40 °C and 100 L/h flow rate after 60 min irradiation). Kinetic modeling revealed second-order reaction kinetics, and multivariate regression analysis led to the development of models predicting treatment efficiency based on process factors. The key scientific contributions are the integrated system design combining conventional and advanced oxidation technologies, novel collector configuration for efficient utilization of solar radiation, comprehensive process optimization through multivariate experiments, kinetic modeling and predictive modeling relating process factors to pollutant degradation. This provides an economical green solution for textile wastewater treatment and reuse along with useful design guidelines. The treatment methodology and modeling approach make valuable additions for sustainable management of textile industry wastewater.

“Synergistic Innovation: Crafting Indazole Derivatives for Advanced Anticancer, Antioxidant, and Antimicrobial Efficacy through Integrative Design and Holistic Evaluation”

AbstractThis study presents the synthesis and characterization of a newer series of N‐(1‐(2‐(phenylamino) pyrimidin‐4‐yl)‐1H‐indazol‐5‐yl)benzenesulfonamide (6 a–6 n) and N‐(6‐ethoxy‐1‐(2‐(phenylamino) pyrimidin‐4‐yl)‐1H‐indazol‐5‐yl)benzenesulfonamide (7 a–7 c) derivatives through the reaction of N‐(1‐(2‐chloropyrimidin‐4‐yl)‐1H‐indazol‐5‐yl) benzenesulfonamide (4 a–i) and N‐(1‐(2‐chloropyrimidin‐4‐yl)‐6‐ethoxy‐1H‐indazol‐5‐yl) benzenesulfonamide (5 a–i) with various aniline derivatives in isopropanol. The compounds were thoroughly evaluated for their biological activities, encompassing antifungal, antibacterial, and anticancer assays, as well as antioxidant potential in DPPH and ABTS assays. Compound 7 b (IC50: 0.0125 MIC), 6 e (IC50: 0.0128 MIC), and 6 i (IC50: 0.0128 MIC) demonstrated exceptional antibacterial efficacy, while 6 d (IC50: 0.0124 MIC), 6 f (IC50: 0.0125 MIC) and 7 c (IC50: 0.0118 MIC), exhibited notable antifungal activity. Compounds 6 c (IC50: 13.31±0.32 μM, A459) & (IC50: 22.36±1.76 μM, MCF7) displayed significant anticancer activity comparable to established drugs. Moreover, 6 b (IC50: 11.22±0.16 μM, A459) & (IC50: 18.21±1.32 μM, MCF7) and 6 d (IC50: 11.23±0.17 μM, A459) & (IC50: 18.31±1.41 μM, MCF7) showed remarkable anticancer potency. Notably, compound N‐(1‐(2‐(methyl(phenyl)amino)pyrimidin‐4‐yl)‐1H‐indazol‐5‐yl)‐4‐nitrobenzenesulfonamide (IC50:0.1090 μmol/mL for DPPH and IC50: 0.1286 μmol/mL for ABTS) exhibited the most significant antioxidant activity. Computational docking studies revealed robust binding interactions with target enzymes (PDB ID: 4JT3 for anticancer, PDB ID: 1EA1 for antifungal, PDB ID: 1KZN for antibacterial, PDB ID: 3SRG for antioxidant), supported by molecular dynamics simulations indicating consistent stability of the most potent compound within the binding sites of the target proteins. These findings underscore the therapeutic potential of these derivatives, warranting further investigation for potential clinical applications.

Multi-scale feature enhanced spatio-temporal learning for traffic flow forecasting

Traffic flow forecasting is a critical task within Intelligent Transportation Systems (ITS). Its main challenge lies in effectively modeling the complex traffic related big data, including intricate intra-channel and inter-channel correlations, as well as dynamic spatio-temporal dependencies. Furthermore, current methods continue to encounter bottlenecks in extracting and learning complex and dynamic spatio-temporal features from the original traffic data for long-term prediction, resulting in challenges related to model robustness and generalization. In response to these, we introduce a novel deep learning model with multi-scale feature enhancement for traffic flow forecasting, which is based on the attention mechanism and the graph convolution learning framework. We first introduce the integration design of the spatio-temporal dependency features enhancement module with the base attention learning block through a memory embedding layer. Then we propose a traffic network topology features enhancement module with the spatial attention layer, enabling dynamic enhanced learning of spatio-temporal dependency features. This comprehensive approach enables the model to effectively learn complex and dynamic spatio-temporal dependencies, capturing key patterns in traffic flow data. Through extensive experimental evaluations using traffic flow forecasting benchmarks, we have validated the superior performance of the proposed model over the state-of-the-art.

FinFET-Based Low-Power Improved PDP 4:2 Approximate Compressor Design

In the era of low-power very large-scale integration design, approximate computing is a soaring design paradigm that assures energy-efficient circuit design at the cost of some accuracy. Multiplication is a very important operation of an arithmetic unit and compressor is the inherent part of the multiplier. In this paper, an energy-efficient design of a 4:2 approximate compressor is proposed. The inclusion of the extra leakage control transistors in the logic has led to leakage power reduction, which ultimately reduces the power dissipation in the circuits. The proposed 4:2 compressor is simulated at 10[Formula: see text]nm fin-field effect transistor (FinFET) technology. The proposed compressor has been verified for its functionality and robustness. The proposed design shows a power dissipation of 154.48[Formula: see text]nW and a delay of 9.16[Formula: see text]ps. In comparison to other 4:2 approximate compressors, the proposed compressor shows the least power dissipation, the lowest power delay product (PDP) and the highest robustness. The power dissipation of the proposed compressor is 92.84% less than that of the base compressor. The PDP of the designed compressor is 80.58% less than the minimum PDP among other compressors. The aging analysis for the negative bias temperature instability (NBTI) effect is also checked for the proposed compressor and compared with the existing designs.

Local oxygen transport resistance in polymer electrolyte fuel cells: origin, dependencies and mitigation

Next-generation polymer electrolyte fuel cells (PEFCs) require an integral design of the porous structure of electrodes at different scales to improve performance and enlarge durability while reducing cost. One of today’s biggest challenges is the stable, high-performance operation at low Pt loading due to the detrimental effect of the local oxygen transport resistance caused by ionomer around catalyst sites. Hindered local oxygen transport arises from sluggish kinetics at the local reaction environment, that comprises adsorption at (wet) ionomer and Pt interfaces, and diffusivity of gas species in ionomer and water. Diverse factors affect oxygen transport, including operating conditions (relative humidity, temperature, and pressure), ionomer content and morphology, ionomer heterogeneity, porosity of carbon support, catalyst dispersity, and flooding. To attain performance and durability targets, it is essential to maximize the oxygen utilization of the catalyst layer by implementing enhanced membrane electrode assembly architectures. This involves employing advanced catalyst layer preparation techniques, including electrospraying, to generate optimized highly porous morphologies. Furthermore, achieving these targets necessitates the development of new materials with tailored properties, such as high permeability and porous ionomers, among other innovative strategies.

Microwave wireless power transfer efficiency analysis framework for a thin film space solar power satellite

Space-based solar power systems (SSPS) envision the usage of focused microwave beams to transfer power from space to ground. To supply a large amount of power and to be able to focus a microwave beam efficiently, a large infrastructure must be assembled in orbit, thus, making the implementation of SSPS an arduous task. In the history of SSPS designs, aside from economical obstacles, technical obstacles such as large ohmic losses due to long DC lines in the structure, large rotary joints to decouple beam pointing and solar power collection, heating problems from power lines converging into a single point, and complex control mechanisms, manufacture, and assembly are present. A simpler implementation using multiple foldable thin film membrane satellite modules is proposed as a feasible design, born from the advancement of thin film electronics. Its economical feasibility is achieved through the reduced weight, large surface area, and membrane’s ability to be stowed. The thin film SSPS combines advantageous properties of past designs such as a simple structure, simple control mechanism, and a distributed power collection and transfer architecture avoiding the ohmic loss and heating problems. However, due to the thin film membrane hosting both the antenna and the solar cells, competition occurs between maximum solar power collection and high efficiency power transfer capabilities. In this paper, we propose a framework to analyze the performance of the thin film SSPS solar cell-antenna integration design in terms of the wireless power transfer efficiency and fuel consumption, from which we identified the trade-offs on designing and operating the station. We used this framework to analyze three different antenna element designs in combination with three different attitude control goals, and found out that the key aspects of the antenna design are beam width, radiation efficiency, and efficient solar cell integration.

Immersive Empathy in Digital Music Listening: Ideas and Sustainable Paths for Developing Auditory Experiences in Museums

With the development of modern technologies, museums have been engaged in the competition for novel sensory resources. Taking into consideration the main body of visitors, their experiential representation has gradually become the focal point of the museums. However, at present, the museum display is limited to visual effect. The scientific and technological methods proposed by existing research have not really formed a deep cultural memory of historical stories, and the sustainable development paths of museums need to be further optimized. Thus, the purpose of this study is to explore the conception and path of museum auditory experience development, and to verify the existing patterns of empathy in museum auditory experience development. We set up digital music vocalization tools in the museum to temporarily create the immersion experience for digital music. In this scenario, we could meticulously observe the tourists’ experience, with the joint effect of active cognitive environment and environment-driven emotion. We also conducted a timely survey on the cognition, emotion, and experience of the observation subjects after the experiment. Last, empirical methods has been used to analyze the role of immersive empathy in enhancing visitors’ experience, in order to gain insights into visitors’ perception and cognition of the museum, integrating with the digital music. After analyzing the collected data, this study found that cognitive empathy has a significant positive impact on visitors’ experience. It indicated that for the historical stories presentation, the properly integration of museum and digital can help tourists deeply understand the historical events, which could restore the cultural connotation conveyed by the designer. Emotional empathy also has a significant positive impact on visitors’ experience. It showed that that the rendering of digital music will motivate visitors’ emotional fluctuation, during their visit to the museum. And through the combination of audio-visual effects, the constructed spatial perception, allowing visitors to enjoy immersive experience. This study proposed a vision for the development of auditory experiences in museums, based on both cognitively active immersion and emotionally passive immersion of visitors. We also suggested that in the new era, museums need to reform with voice, to timely adjust and innovate their way to exhibit cultural relics, with the hierarchical design of audiovisual integration to construct a more appealing scene and atmosphere.

Multi-domain data integration and management for enhancing service-oriented digital twin for infrastructure operation and maintenance

The evolution from Building Information Modelling (BIM) to Digital Twins (DT) marks a shift from static models to dynamic data-centric representations. Using DT can improve Infrastructure Operation and Maintenance (IOM) through prompt and comprehensive data, especially by providing services and value-added features. However, developing this service-oriented digital twin (SoDT) for IOM faces challenges due to data heterogeneity, fragmentation, and interoperability issues across various systems used by different asset authorities. This paper develops a service-oriented digital twin framework for IOM (SoDT-IOM), which focuses on multi-domain data integration and IOM service-oriented design. Service-oriented DT components and data integration mechanisms are developed, and an individual-multiple interacted data repository for IOM services is designed. Two-stage industrial interviews are conducted, and two use cases are illustrated to evaluate the functionality and efficacy of the framework. The evaluation results reveal that implementing a SoDT-IOM framework encounters challenges related to cost and data security; however, it is appreciated for its capacity to improve decision-making and collaboration with linked, accurate and timely data. This paper proposes further design requirements and implementation recommendations for SoDT of asset management from both technical and managerial perspectives.

Optical proximity sensors using multiple quantum well didoes

InGaN/GaN multiple quantum well (MQW) diodes perform multiple functions, such as optical emission, modulation and reception. In particular, the partially overlapping spectral region between the electroluminescence (EL) and responsivity spectra of each diode results in each diode being able to sense light from another diode of the same MQW structure. Here, we present a noncontact, optical proximity sensing system by integrating an MQW-based light transmitter and detector into a tiny GaN-on-sapphire chip. Changes in the external environment modulate the light emitted from the transmitter. Reflected light is received by the on-chip MQW detector, wherein the carried external modulation information is converted into electrical signals that can be extracted. The maximum detection proximity is approximately 17 mm, and the displacement detection accuracy is within 1 mm. Based on the detection of distance, we extend the application of the sensor to vibration and pressure detection. This monolithic integration design can replace external discrete light transmitter and detector systems to miniaturize reflective sensor architectures, enabling the development of novel optical sensors.

Determining the Antenna Phase Center for the High-Precision Positioning of Smartphones.

In recent years, smartphones have emerged as the primary terminal for navigation and location services among mass users, owing to their universality, portability, and affordability. However, the highly integrated antenna design within smartphones inevitably introduces interference from internal signal sources, leading to a misalignment between the antenna phase center (APC) and the antenna geometric center. Accurately determining a smartphone's APC can mitigate system errors and enhance positioning accuracy, thereby meeting the increasing demand for precise and reliable user positioning. This paper delves into a detailed analysis of the generation of Global Navigation Satellite System (GNSS) receiver antenna phase center errors and proposes a method for correcting the receiver antenna phase center. Subsequently, a smartphone positioning experiment was conducted by placing the smartphone on an observation column with known coordinates. The collected observations were processed in static relative positioning mode, referencing observations from geodetic-grade equipment, and the accuracy of the static relative positioning fixed solution was evaluated. Following weighted estimation, we determined the antenna phase center of the Xiaomi Mi8 and corrected the APC. A comparison of the positioning results of the Xiaomi Mi8 before and after APC correction revealed minimal impact on the standard deviations (STDs) but significant influence on the root mean square errors (RMSEs). Specifically, the RMSEs in the E/N/U direction were reduced by 59.6%, 58.5%, and 42.0%, respectively, after APC correction compared to before correction. Furthermore, the integer ambiguity fixing rate slightly improved after the APC correction. In conclusion, the determination of a smartphone's APC can effectively reduce system errors in the plane direction of GNSS positioning, thereby enhancing smartphone positioning accuracy. This research holds significant value for advancing high-precision positioning studies related to smartphones.

Unveiling the mechanism behind the negative capacitance effect in Hf0.5Zr0.5O2-Based ferroelectric gate stacks and introducing a Circuit-Compatible hybrid compact model for Leakage-Aware NCFETs

This paper addresses the lack of understanding of the origin of negative capacitance (NC) effect in the hafnium zirconium oxide (HZO) ferroelectric (FE) gate stack and proposes a new circuit-compatible hybrid compact model for NC field-effect transistors (NCFETs). The model supports Landau and Preisach FE models, encompassing multiple FE domains, FE leakage, and FE damping. The proposed model is experimentally validated, and the intrinsic switching speed of HZO is predicted. It is revealed that the NC effect in HZO stems from a mismatch in free charge and polarization switching rates. Performance evaluation of the model reveals that HZO-NCFET achieves ∼1.18x and ∼9.17x higher amplification at low and high frequencies compared to its PZT-NCFET counterpart. Our study demonstrates the superior ON-current (2.74 mA/µm) of the Engineered Leaky-HZO NCFET, surpassing FinFET and Germanium-source L-shaped TFET by ∼7.89x and ∼4.81x, respectively. This study briefly examines the direct causes of the negative drain-induced barrier lowering effect and negative differential resistance effect in Landau NCFETs. Furthermore, we emphasize the crucial role of FE thickness in determining the magnitude of the NC effect, offering valuable insights for the design and optimization of NC-based devices and circuits. Analysis of the Miller effect in NCFET-based inverters demonstrates significant improvements owing to high ON-current and voltage amplification, making them suitable for high-speed NCFET-based circuitry. Landau and Preisach NCFET-based inverters exhibit (50.70%, 51.34%) lower overshoots and (28.45%, 28.61%) reduced propagation delay compared to the NC nanowire FET-based inverter. Moreover, NCFET-based 2:1 fork circuits significantly reduce (46.69%, 51.37%) critical clock skew compared to CMOS FET-based circuits, showcasing the potential of NCFET technology in addressing timing violations in random logic paths. Furthermore, the Landau and Preisach NCFET-based ring oscillators (ROs) achieve (39.97%, 49.38%) and (52.65%, 62.92%) higher oscillation frequencies (fOSC) compared to state-of-the-art graphene FET-RO and CMOS-RO, respectively. The 15-stage Leaky-HZO and Engineered Leaky-HZO NCFET-ROs outperform the double gate-FET-RO by ∼2.19x and ∼16.69x in terms of fOSC, highlighting their superior performance in frequency-domain metrics. These findings demonstrate the potential of NCFET-based digital and mixed-signal circuits for high-performance integrated circuit designs.

Problems of implementing BIM technologies in the educational process

The article discusses educational process improvement for architect training concerning modern technologies, such as digitalization, information modeling, and cyber technologies. Reviewed and proposed mechanisms, methods, and means of modernization of education, concerning the introduction of BIM technologies to the bachelor's and master’s training course for ensuring quality of professional training of construction and architectural personnel. Influence factors, trends, and alternatives for implementing the concept of BIM in the educational process in the form of end-to-end integrated design and joint work in a team are identified. At the same time, the lack of personnel in Ukraine with in-depth knowledge of BIM technologies of various levels is emphasized. The article focuses on the relevance of the organization of progressive training, starting from the junior courses of a specialized university or college (institutions of higher education) to professional advanced training courses or other post-graduation training in licensed training centers. Emphasized are the creation of educational programs and their bringing to the standards of information modeling - as effective ways of construction and architectural personnel training. That involves completion of relevant training for bachelors, becoming proficient at the BIM-management course by masters, interdisciplinary interaction in education, the skills to manage corporate content, generate an IFC container, etc. The following components are emphasized: the need to retrain the teaching staff, improve the qualifications of teachers and provide proper resources, expand the means of enhanced automation, acquire BIM application experience of leading international education institutions, attract modern professionals with adequate experience, to actively demonstrate the BIM software potential, to consult production facilities, to conduct multi-level stimulation - as essential links of a single BIM chain. The set of technologies that must be mastered by a student during BIM training, the relationship of educational tasks, data transfer formats, and standards for creating an information model for effective management of the design, construction, and operation of facilities in the near future are discussed.