Static Design Research Articles

Reviewing and Revisiting the Processes and Emergent States Underlying Team Diversity Effects

Understanding explanatory team processes and emergent states is crucial for facilitating potential benefits and hindering potential pitfalls of team diversity. This systematic review synthesizes research regarding the processes and states related to team diversity since the categorization-elaboration model’s (CEM) introduction, against which we evaluate the literature. According to the CEM, an interplay of social and informational processes shapes diverse teams’ effectiveness. We show that despite the wide recognition of this interplay logic, there is a misalignment between CEM’s theoretical propositions and the actual conceptualizations and measurements of processes and states in primary studies. This misalignment is accompanied by primarily static designs and conceptualizations. Our review expands scholarly understanding of the interplay between social and informational processes and states in diverse teams, advancing knowledge of the diversity–team effectiveness relationship. Finally, we delineate imperatives for future research, embracing the dynamic nature of team processes and states.

Analysis of etched drain based Cylindrical agate‐all‐around tunnel field effect transistor based static random access memory cell design

AbstractThis paper aims to propose a novel method for designing an static random access memory (SRAM) cell using an etched drain based Cyl GAA TFET with a hetero‐substrate material and an elevated density strip. The aim is to reduce power dissipation and improve stability, as demonstrated through analysis utilizing static noise margin (SNM) as well as N‐curve methods. With respect to the 16 nm MOSFET based SRAM cell, the proposed device‐based SRAM cell shows significant improvements with a 68.305% reduction in leakage power, a 15.58% increase in static voltage noise margin (SVNM), an 8.623% increase in static current noise margin (SINM), an 8.152% increase in write trip voltage (WTV), a 12.86% increase in write trip current (WTI), a 27.62% increase in static power noise margin (SPNM), and a 19.95% increase in write trip power (WTP). The design is implemented and analyzed using Cadence Virtuoso software, and a novel approach of look up tables and Verilog A is utilized for the device to circuit application. These results indicate promising advancements in the design of SRAM cells, which could have significant implications for the development of advanced computer systems.

Component-based modeling of cascading failure propagation in directed dual-weight software networks

Software vulnerabilities often lead to cascading failures, resulting in service unavailability and potential breaches of user data. However, existing models for cascading failure propagation typically focus solely on the static design’s calling relationships, disregarding dynamic runtime propagation paths. Moreover, current network topology models primarily consider function calling frequency while overlooking critical factors like internal failure probability and component failure tolerance rates. Yet, these factors significantly influence the actual propagation of software cascading failures. In this study, we address these limitations by incorporating internal failure probabilities and calling frequencies as node and edge weights, respectively. This forms the basis of our component-based directed dual-weight software network cascading failure propagation model. This model encompasses the evaluation of cascading failure propagation through intra-component and inter-component propagation probabilities, alongside the constraint of component failure tolerance rates. Through extensive experiments conducted on six real-world software applications, our model has demonstrated its effectiveness in predicting software cascading failure propagation processes. This method deepens our understanding of software failures and structures, equipping software testers with the knowledge to make well-informed judgments regarding software quality concerns.

Footprint family of China's coal-based synthetic natural gas industry

China's increasing demand for natural gas and concerns related to energy security have expanded the coal-based synthetic natural gas (CBSNG) industry. The accompanying intensive environmental and economic impacts are evaluated based on static design or simulated data, but their industrialized performance at both the project-specific and national levels remains unclear. The objective of this study is to estimate an energy-water-pollutant-carbon-economic footprint family of China's CBSNG industry. To this end, a comprehensive accounting methodology for the multiple footprints of CBSNG was developed and the first-hand dynamic operation and economic data of four commercialized projects were surveyed. Accompanied by the technology learning curve, scenarios towards 2035 were designed to predict future trajectories of these footprints. The results show that the project-specific energy-water-pollutant-carbon footprints generally reduced by 10 to 30 % from 2020 to 2022, while the economic footprints increased slightly. The total energy-water-pollutant-carbon footprints, driven by scale expansion, increased by less than 10 % and the total economic footprint increased by over 30 %. They were predicted to approximately double by 2025 and increase fivefold by 2035, which suggests the deployment of green hydrogen and a circular economy, optimization of spatial layout, and fortification of separate statistics and economic policies for sustainability.

Experimental validation of an innovative method for minimization of deformation tolerances of reinforced concrete ceilings

AbstractThe static design of reinforced concrete ceilings is mostly based on finite element calculations. If the calculated deformation is too big, a superelevation is carried out in order to optimize the thickness of the ceiling. The superelevation is achieved by setting parts of the formwork a fixed amount higher than the edge areas of the ceilings before concreting. In this contribution, a validation of various numerical methods and a new load approach for the deformation of concrete slabs by means of measurement results is shown whereas the focus is on the multistory support of ceilings, which have not arrived the full Young's modulus.

Numerical Design Calculation of T-stubs at Elevated Temperatures

AbstractThe failure of steel connections can lead to the progressive collapse of the entire structure. Accurate modelling of steel connections at elevated temperature allows structural fire engineers to design steel structures that may deal with the severity of a fire. The prEN 1993-1-14 proposes numerical design calculation for the static design check of steel connections. This paper presents a component-based finite element model (CBFEM) to design the T-stubs at elevated temperatures. The generated model is verified and validated against the results from the analytical model and experimental study. The resistance, failure modes and the load-deformation curves are used to validate and verify the CBFEM models for steel connection design at elevated temperatures. The results stated that the CBFEM is a practical design tool to model bolted connections at elevated temperatures and it is possible to apply the recommended 5% plastic limit strain by EN 1993-1-5 for fire design of bolted connections.

The Digital Twin Immersive Design Process and Its Potential Disruption to Healthcare Design through a User-Centered Approach

This applied research proposes a solution to the static government design process for Thai healthcare architecture to better serve the needs of its elderly society. In its place, a novel real-time design process, termed the Digital Twin Immersive Design Process (DT-IDP), repurposes aspects of digital twin and virtual reality technologies into a ‘unitary’ immersive design system. This system accesses ‘experiential’ user-centered data, helping enhance the design of Thai healthcare space beyond a standardized government response. This text builds a rationale for departing from the current design process by describing the formation and advantages of the DT-IDP process. To test its credibility, the DT-IDP process is used to build and compare two digital versions of an existing healthcare space. In these spaces, participants are immersed (elderly patients n = 30; nursing staff n = 5; government healthcare architects n = 5) to assess visitor experiences based on daylighting, artificial lighting, and views of nature. Following immersion, government healthcare architects are interviewed in-depth to evaluate the process’s efficacy and their willingness to adopt it. Results confirm the potential for this process to capture ‘user-centered’ insights, otherwise unobtainable without immersion. Consequently, healthcare architects express a unanimous preference for DT-IDP, acknowledging its unique capacity to bridge a market gap through an experiential component that could better assist them in creating a superior final product. Ultimately, they assert that demand for these features could have a disruptive impact to the current healthcare design process, helping to re-envisage the design of future Thai healthcare space.

Facial animacy in anthropomorphised designs: Insights from leveraging self-report and facial expression analysis for multimedia learning

Anthropomorphism is the act of attributing human-like characteristics to non-human objects and has played a key role in the field of emotional design in multimedia learning. Despite its significance, the relationship between animacy and anthropomorphism, particularly facial animacy, remains underexplored albeit its potential impact on learning engagement and emotional responses. Hence, this study aims to address this gap by examining the effects of facial animacy in anthropomorphised designs using a 3 × 2 design (none vs. static vs. animated) based on self-reported measure (SRM) and facial emotion recognition (FER) and how both measures are associated. The findings revealed discrepancies between both measures, with mostly moderate to weak correlations between hypothesised associations. SRM results indicated that face animacy decreased perceived boredom, while static and dynamic anthropomorphised designs increased curiosity. The FER results revealed notable similarities between designs without anthropomorphism and the static versions, highlighting that facial animacy led participants to express more joy and less neutral expressions. Additionally, neutral expressions were associated with lower enjoyment perception, while negative emotions, especially boredom, were linked to reduced attention.

ROBUST OUTPUT FEEDBACK CONTROL FOR HETEROGENEOUS AUTONOMOUS VEHICLE PLATOONS

An heterogeneous vehicle platoon controller for autonomous vehicles is proposed in this paper. The traction force of each vehicle is controlled according to the state of the predecessor vehicle, which can be known by LiDAR/RADAR, and the state of the leader vehicle, which is received by vehicle-to-vehicle (V2V) communication. Platoon string stability is evaluated under Lyapunov and H8 conditions. An iterative procedure is proposed in order to deal with the non-convexity of the static output feedback control design problem. Simulation results demonstrate that the proposed heterogeneous vehicle platoon controller achieves a good overall performance without compromising the safety of any vehicle. The separation between each follower and its predecessor is kept in appropriate ranges, always close to the desired reference. Furthermore, the transient errors are not amplificated when propagated downstream the platoon, therefore string stability is assured. Keywords: Autonomous vehicles, heterogeneous vehicle platoon, vehicle platoon control, string stability, output feedback control, robust control, Linear Matrix Inequality

Review of Compensation Topologies Power Converters Coil Structure and Architectures for Dynamic Wireless Charging System for Electric Vehicle

The increasing demand for wireless power transfer (WPT) systems for electric vehicles (EVs) has necessitated advancements in charging solutions, with a particular focus on speed and efficiency. However, power transfer efficiency is the major concern in static and dynamic wireless charging (DWC) design. Design consideration and improvements in all functional units are necessary for an increase in overall efficiency of the system. Recently, different research works have been presented regarding DWC at the power converter, coil structure and compensators. This paper provides a comprehensive review of power converters incorporating high-order compensation topologies, demonstrating their benefits in enhancing the DWC of EVs. The review also delves into the coupling coil structure and magnetic material architecture, pivotal in enhancing power transfer efficiency and capability. Moreover, the high-order compensation topologies used to effectively mitigate low-frequency ripple, improve voltage regulation, and facilitate a more compact and portable design are discussed. Furthermore, optimal coupling and different techniques to achieve maximum power transfer efficiency are discussed to boost magnetic interactions, thereby reducing power loss. Finally, this paper highlights the essential role of these components in developing efficient and reliable DWC systems for EVs, emphasizing their contribution to achieving high-power transfer efficiency and stability.

OmicScope unravels systems-level insights from quantitative proteomics data

Shotgun proteomics analysis presents multifaceted challenges, demanding diverse tool integration for insights. Addressing this complexity, OmicScope emerges as an innovative solution for quantitative proteomics data analysis. Engineered to handle various data formats, it performs data pre-processing – including joining replicates, normalization, data imputation – and conducts differential proteomics analysis for both static and longitudinal experimental designs. Empowered by Enrichr with over 224 databases, OmicScope performs Over Representation Analysis (ORA) and Gene Set Enrichment Analysis (GSEA). Additionally, its Nebula module facilitates meta-analysis from independent datasets, providing a systems biology approach for enriched insights. Complete with a data visualization toolkit and accessible as Python package and a web application, OmicScope democratizes proteomics analysis, offering an efficient and high-quality pipeline for researchers.

The Influence of Sleep Quality on Learning Concentration in Students

In the learning process, a person needs concentration to be able to understand and interact with his environment. One of the things needed in order to concentrate on studying is to maintain good quality sleep. Therefore, this experimental study aims to measure and identify whether there is an effect of sleep quality on learning concentration in Psychology students of UIN Raden Fatah Palembang. This study uses a quantitative experimental technique with a Static Group Comparison design. The population of this study was the active students of the Faculty of Psychology, UIN Raden Fatah Palembang, amounting to 882 people. Determined 30 respondents as a sample selected by purposive sampling technique. Respondents were divided into 2 groups. The first group consisted of 15 respondents with the classification of staying up late, and group 2 consisting of 15 respondents with the classification of regular normal sleep. The data collection technique was through a questionnaire sheet and then analyzed using the chi-squere test.

Developing Effective Communication Skills in Counseling: A Focus on Schizophrenia and Depression

This study evaluates the effectiveness of Social Skills Training (SST) on improving social interactions and reducing psychological symptoms in individuals with schizophrenia by comparing pre-test and post-test scores of control and experimental groups. The quasi-experimental research, using a static group comparison design, involved five male post-hospitalized schizophrenia patients aged 19-40 in Nganjuk Regency. The experimental group received SST, while the control group did not. Results from paired sample t-tests indicated no significant change in the control group but showed significant improvement in the experimental group, with post-test scores significantly lower than pre-test scores (p < 0.05). Independent sample t-tests confirmed no significant difference in pre-test scores between groups, but post-test scores revealed significant differences, affirming SST's positive impact. The SST intervention, comprising sessions on communication, friendship, joint activities, handling difficult situations, expressing opinions, and family psychoeducation, significantly enhanced social skills and reduced negative responses. These findings highlight SST as an effective intervention for individuals with mental health issues, promoting better social interactions and reducing relapse rates, thereby supporting its integration into therapeutic practices.

Design and Implementation of High Speed SRAM Cell

Static Random Access Memory's main design goals are to have a consuming low power and high speed, as technology is developing at a faster paceand this has given rise to new challenges.The high speed along with stability of SRAM are important issues to improve efficiency and performance of the system. This proposed work presents design and implementation of 1Kb 6T SRAM using CMOS technologies by using EDA tool. In this proposed work, SRAM’s cell is operated in 1V voltage. Our proposed high speed SRAM consisting 6T achieved read delay and write delay of 29.4ps & 15ps respectively. And also our designed cell has stability of 70 mV & 195 mV for read SNM and write SNM respectively

Low static power consumption GaN-based CMOS-like inverter design

Low static power consumption GaN-based CMOS-like inverter design

Spatiotemporal diffusion metamaterials: Theories and applications

Diffusion metamaterials with artificial spatial structures have significant potential in controlling energy and mass transfer. Those static structures may lead to functionality and tunability constraints, impeding the application scope of diffusion metamaterials. Dynamic structures, adding the temporal dimension, have recently provided a new possibility for electric charge and heat diffusion regulation. This perspective introduces the fundamental theories and practical constructions of spatiotemporal diffusion metamaterials for achieving nonreciprocal, topological, or tunable properties. Compared with traditional static design, spatiotemporal modulation is promising to manipulate diffusion processes dynamically, with applications of real-time thermal coding and programming. Existing spatiotemporal diffusion explorations are primarily at macroscopic systems, and we may envision extending these results to microscale and other physical domains like thermal radiation and mass diffusion shortly.

An Experimental Parametric Optimisation for Laser Engraving and Texturing to Integrate Zirconia Ceramic Blocks into Stainless Steel Cutlery: A State-of-the-Art Aesthetically Improved Perspective.

Cutlery and flatware designs are an everchanging phenomenon of the manufacturing industry. Worldwide hospitality businesses demand perpetual evolution in terms of aesthetics, designs, patterns, colours, and materials due to customers' demands, modernisation, and fierce competition. To thrive in this competitive market, modern fabrication techniques must be flexible, adoptive, fast, and cost effective. For decades, static designs and trademark patterns were achieved through moulds, limiting production to a single cutlery type per mould. However, with the advent of laser engraving and design systems, the whole business of cutlery production has been revolutionised. This study explores the possibility of creating diverse designs for stainless steel 304 flatware sets without changing the entire production process. The research analyses three key laser process parameters, power, scanning speed, and number of passes, and their impacts on the resulting geometry, depth of cut, surface roughness, and material removed. These parameters are comprehensively studied and analysed for steel and zirconia ceramic. The study details the effects of power, scanning speed, number of passages, and fluence on engraved geometry. Fluence (power*number of passages/scanning speed) positively influences outputs and presents a positive trend. Medium power settings and higher scanning speeds with the maximum number of passages produce high-quality, low-roughness optimised cavities with the ideal geometric accuracy for both materials.

KEMAJUAN PERSALINAN DENGAN MENGGUNAKAN BIRTH BALL PADA IBU BERSALIN PRIMIGRAVIDA DI PMB RENNY INDAH SARI

Background: One of the complications of childbirth that contributes to maternal and infant mortality is prolonged labor. The survey results found that prolonged labor can cause emergencies is mothers and babies. Birth ball is a physical therapy ball that helps mothers in labor during the first stage of labor Purpose: To find out the effect of birth balls on the progress of labor in promigravida mothers at PMB in 2023 Method: The research method used is Quasi Experiment. Data collection used total sampling with a sample of 30 mothers giving birth. By using a static group comparison research design or static group comparison where this design applies treatment or intervention (X) followed by a second measurement or observation. The results of the onservations in the control group, which did not receive the intervention Result: The results of this study showed that the average progress of labor in the intervention group was 292.33 minutes, and in the control group the average progress of labor was 419 minutes. Conclusion: The conclusion of this study is that there is an effect of the birth ball on the progress of labor in primigravida mothers in the first active phase as evidenced by the t-test p-value 0,000<0,5.

Considerations for the static and seismic design of pumped storage reservoirs in soft soils and seismic environments

AbstractFor recent hydroelectric pumped storage projects, the construction of embankment dam structures on alluvial deposits consisting of exceptionally soft soil and in areas with high seismicity was required. This contribution shares experiences and challenges from the static and seismic design of embankment dam structures and ground treatment options. Finite element‐based static and seismic analyses using the Hardening Soil Small Strain model (HSS) showed that preconsolidation has clear benefits compared to stone columns for ground improvement purposes. Regardless of general advantages of surface sealing systems for frequent and rapid impoundment level changes, it was found that clay core design options perform very well under seismic loading conditions and even better than surface‐sealed structures. Seismic ground and structure response analyses involving soft soil considering shear strain‐dependent stiffness degradation revealed that deamplification is expected in contrast to the rule‐of‐thumb amplification approaches enshrined in many seismic design guidelines and codes. It was found that this effect increases with seismic magnitudes and that saturation of peak ground acceleration (PGA) takes place. This results in relatively moderate structure excitations even under significant dynamic excitation.

Influence of approach shape of debris flow on impact load to open Sabo dam in experiment

Recently, the magnitude of landslide caused by torrential rain and typhoons is increasing in Japan. This high intensity rainfall disaster induces some structural failure of steel pipe open Sabo dams. Thus, current static design loads and impact loads are being considered. To prevent some structural failure of the dam, a new design concept is necessary at the severe load that is exceeding the present design load. However, the influence of debris flow impact load on steel pipe open Sabo dam is not clear to make a design load. The study experimentally approaches a vertical load distribution shape and its time history based on a comparison with a wedge approach shape and a front boulder concentrated shape. The load and moment action of a front boulder concentrated shape debris flow is greater than that of a wedge approach shape. Mechanism making the difference is made clear by observation of vertical detail measurement of impact load.