Moderate Distances Research Articles

Enhancing Maneuverability in a Variable Wheelbase Wheeled Mobile Robot Through Dynamic Steering Curvature Control

ABSTRACTVariable wheelbase wheeled mobile robot (VW‐WMR) is capable of maneuvering flexibly and traversing on rough and soil terrains within confined spaces. While the steering radius of the robot model can be robustly changed by the variable wheelbase length, a challenge is posed in accurately tracking a predefined trajectory through the alteration of wheelbase length. A dynamic steering curvature (DSC) control method is proposed in this work to overcome this challenge, which is achieved by two different approaches utilizing the variable wheelbase length and manipulating drifting motions. First, to enable flexible trajectory adjustments, a 3D Ackermann kinematics model, incorporating the lifting motion of the robot box, is developed to control steering curvature by the changes in wheelbase length. Second, to achieve flexible movement for the inner and outer curves of the originally planned curvilinear trajectory, Ackermann drift models are presented by the establishment of two sequence instantaneous centers. Furthermore, the control performance of DSC is validated through simulation experiments on the ROSTDyn Vortex platform, using a six‐wheeled VW‐WMR named HIT‐MRII robot. The effectiveness of DSC for strategically altering the robot's motion trajectory is demonstrated by the results, which show the relation between the changed trajectory position and the variation in wheelbase length, and the variation in the radii of the instantaneous centers (ICs) in the Ackermann drift model, respectively. In addition, the high maneuverability of the robot using the Ackermann model is proven by physical experiments during steering motions on soil terrain. A comprehensive advantage is demonstrated by the results via Ackermann models, which include shorter runtimes, moderate travel distances, and moderate variations in force on the wheels, compared to different velocity, crabbing motion, and equivalent bicycle models.

Adaptive approximation of persistent homology

We study an important preprocessing step for the efficient calculation of persistent homology: coarsening a set of points while controlling the quality of the induced persistence diagram. This coarsening step is instrumental in reducing the overall runtime of state-of-the-art algorithms such as Ripser, GUDHI, or PHAT. For this, we adaptively sparsify the set of points and carefully define a dissimilarity function between the remaining points. This function takes into account local properties given by a separate function defined on the point set as well as the relation of the removed points to the subsample. It is then used to build simplicial filtrations and calculate their persistent homology. We assess the quality of our approach both theoretically by proving topological approximation guarantees and empirically by using the bottleneck distance. Since our subsample is calculated adaptively, we also prove adaptive properties of our result. Our results show that we can significantly reduce the size of the point sample with only very moderate bottleneck distance to the ground truth; in particular, we still are able to capture the salient topological features of the input through our approximated persistence diagrams.

From Consumption to Online Review Posting: Examining the Influential Factors of Conversion Rate

ABSTRACT Online reviews reflect consumer needs and generate an electronic word-of-mouth (eWOM) effect influencing businesses’ financial performance. Existing literature on online reviews largely assumes consumers have a consistent conversion rate of writing and posting online reviews after a consumption experience. Using dual-source data of consumers’ footprints and online restaurant reviews, we challenge this assumption and quantify the online review conversion rate by depicting a comprehensive pathway from consumers’ visitation to their review writing. We find that consumer overall satisfaction has a nonlinear impact on the online review conversion rate. Extremely dissatisfied consumers are more likely to post online reviews to complain than generally dissatisfied consumers. In contrast, generally satisfied consumers are more likely to post online reviews than extremely satisfied consumers. Additionally, consumer engagement in the platform stimulates their online review behavior. Further, consumers’ geographical distance from providers has a U-shaped impact on online review conversion rate. Local nearby consumers and consumers from a relatively long distance have a higher chance to post online reviews than consumers from a moderate distance. Moreover, price promotions from providers facilitate consumers’ review behavior. The findings guide businesses to prioritize reading and responding to online consumer reviews based on these influential factors. Companies thus can use more targeted actions to encourage consumers to post positive reviews and spread a positive eWOM effect to attract consumers and enhance financial performance

Pressure Based Power Generation System

The growing global population and technological advancements are leading to a sharp increase in energy demand. Simultaneously, energy is being wasted across various domains, particularly in transportation. Harnessing this lost energy and converting it into usable forms is critical for sustainability. This paper presents a novel system for generating power using the pressure exerted by tires of electric vehicles (EVs) via piezoelectric transducers. The generated energy is then wirelessly transmitted to charge EVs, utilizing resonant inductive coupling. This system not only helps recover energy from everyday driving but also offers a potential solution to energy wastage. Experiments demonstrate the feasibility of this approach, with power transmission efficiencies exceeding 90% at moderate distances. Key Words: pressure-based power generation, piezoelectric transducers, wireless power transfer, electric vehicles, resonant inductive coupling, energy harvesting.

Binegativity and Social Distance Toward Bisexual Women and Men Among Hispanics Puerto Ricans: A Brief Report

This brief report aimed to geographically describe binegativity and social distance among Hispanic Puerto Ricans, and to explore social determinants related to binegativity and social distance toward bisexual women and men. The team employed secondary research data based on a quantitative, cross-sectional study. Data from a sociodemographic questionnaire, a binegativity scale, and a social distance scale were extracted. Demographic data of a sample of 177 participants were poststratified and divided into binary categories for analysis. Results showed that half of the sample (54.2%) reported high or very high binegativity. Similarly, half of the sample (50.8%) also reported moderate or high social distance toward bisexual individuals. The study also found that participants under 30 years of age and without a religion significantly reported less binegativity. In addition, participants who identify as men, as lesbian/gay, and know a bisexual person significantly reported less social distance. The need for more research is discussed.

Impact of Individual Cultural Values on Employee Silence: A Comparative Study of the USA and Türkiye

This study examines the impact of individual cultural values on employee silence and tests the differences between Türkiye and the USA. The study's findings reveal that power distance leads to an increase in acquiescent and defensive silence, and uncertainty avoidance leads to an increase in prosocial and acquiescent silence. In contrast, collectivism and long-term orientation cause a decrease in acquiescent and defensive silence while causing an increase in prosocial silence. Lastly, masculinity leads to a decrease in prosocial silence. Country factor has been found to moderate power distance- acquiescent and defensive silence, long-term orientation-acquiescent and defensive silence, and masculinity-prosocial silence relationships.

Influence of nature reserve road traffic disturbance on soil carbon

PurposeRoad traffic has long been recognized as a considerable source of ecological disturbance, compromising the integrity of natural ecosystems from their pristine baseline state. Pollutant deposition from vehicular emissions significantly contributes to environmental contamination, while associated human activities exacerbate ecosystem disruptions. In designated conservation zones, including nature reserves, land-use practices such as pastoralism and agriculture are subject to regulation. Nevertheless, the influence of road traffic on ecosystem structure and processes, particularly concerning carbon (C) sequestration and its spatial heterogeneity, warrants further research. This consideration is critically relevant in the understanding the intricate C fractions and their dynamic interplay with environmental factors. Materials and methodsIn this study, we meticulously selected four distinct locations along a principal roadway within a national reserve. For each site, experimental measuring 2 m * 2 m were established at intervals of 2 m, 10 m, 20 m, 30 m, 40 m, and 50 m from the road's edge. Observational data were accrued during the peak of the vegetative growth seasons in August of both 2020 and 2021. Within each plot, soil and cut-ring samples were procured for comprehensive analysis of soil carbon fractions (Total Carbon, TC, g/kg; Carbon Density, g/m2; Readily Oxidizable Carbon, ROC, g/kg; Dissolved Organic Carbon, DOC, mg/kg; Microbial Biomass Carbon, MBC, mg/kg; Cumulative Mineralization Carbon, CMC, mg(CO2-C)*(kg*soil)−1; Soil Inorganic Carbon, SIC, g/kg), chemical properties (pH; Electrical Conductivity, EC, us/cm; Soil Organic Matter, SOM), and physical properties (Soil Water, SW, %; Bulk Density, BD, g/cm3; area conditions). Vegetation metrics, including above-ground biomass (AGB) and below-ground biomass (BGB), species composition, height, and coverage, were meticulously documented. The four sites were replicated, culminating in 24 uniformly oriented plots to mitigate wind influence. ResultsOur analysis revealed that C stock, as determined by TC and C density increased with distance from the road edge, reaching a peak at approximately 30 m (TC: 19.43 g/kg, C density: 39.26 g/m2, SOM: 27.57 g/kg), followed by a subsequent decline. At the 30 m distance, there was a 60.6 %, 41.2 %, and 38.7 % enhancement in TC, C density, and SOM, respectively, compared to the 2 m distance, and a 23.9 %, 25.9 %, and 19.8 % increase relative to the 50 m distance. Levels of DOC, MBC, and CMC exhibited an upward trend from the road edge to 50 m, suggesting more favorable microbiological conditions in less disturbed locales. SEM demonstrated that SIC is directly influenced by BGB (β = −0.31), pH (β = 0.46), and labile C components (β = 0.56), culminating in a reduction of total C storage (total effect, β = −0.28). The dynamic changes of soil C stocks were primarily explained directly by soil labile C (β = 0.475, p < 0.001), and indirectly by vegetation biomass (β = 0.460) and pH (β = −0.570), and were closely correlated with ROC (0.54, the highest eigenvalue among Labile_C). ConclusionThe findings suggest that the buffering effect of the roadside in these nature reserves up to a distance of 30 m has an signficant impact on C stock, and that C losses attributable to biochemical processes and laible soil C fractions may contribute to diminished C levels in less disturbed zones 50 m away from the road. Our findings also substantiate the moderate disturbance hypothesis, particularly in the milieu of road traffic within the Hulunbuir Nature Reserve, Mongolia. A moderate distance from roadways enhances soil C storage compared to areas near the road or undisturbed natural landscapes.

Nest site preferences of the Eurasian Goshawk Accipiter gentilis, an indicator species of conservation concern, in hemiboreal mixed forests

The Goshawk has been recognized as an effective bioindicator sensitive to forest management. We used a comprehensive data set on 75 Goshawk nest sites from Estonia to explore the species’ preferences in relation with forest and landscape characteristics. Goshawk nest sites were regularly distributed with a mean nearest neighbour distance of 6.9 km. The hawks showed a preference for nesting in old (mean age 101 years) coniferous Oxalis-type stands with medium tree density, although the preferred nest tree species was deciduous birch. In surroundings of nest sites, there was a relatively high proportion of old-growth forest (64 %), and nests were closer to mires (1319 m) than expected, while being at a moderate distance from the forest edge (135 m). However, we did not detect any significant effect of the proximity of buildings and roads. Our results suggest that territoriality sets the upper limit to the nesting population, and the ultimate choice of nest location is constrained by the availability of suitable nest sites. We recommend that foresters planning timber harvesting near Goshawk nests avoid clear cutting and maintain sufficiently mature forest nearby. Furthermore, keeping suitable forest patches across forest land support a healthy Goshawk population.

Vortical structures and passive scalar transport in starting process of annular purging jet

The evolution of vortical structures and passive scalar transport in the starting process of annular purging jets are numerically investigated by large eddy simulation. Three flow configurations with different nozzle-to-plate distances at a fixed radius ratio of 0.71 and the Reynolds number of 13 750 are simulated. The numerical results are validated against documented experimental data. Three stages during the evolution are proposed based on instantaneous flow visualizations and assessed by calculating the circulation changes of the annular jets and vortex rings. The vortical structures are identified to understand the three-dimensional characteristics. The entrainment process is analyzed focusing on the passive scalar transport in the flow fields and is correlated with the cleaning performance of annular purging jets. The flow structures dominate the process of scalar mixing, especially the inner and outer vortex rings. The large-scale motions of trailing jets cause the intermittent events of scalar transport. During the starting process, the cleaning performance is better with a smaller nozzle-to-plate distance, while the cleaning efficiency may reach the optimum at a moderate distance. The cleaning process is limited by the scalar diffusion and entrainment process. These findings highlight the significance of flow structures for effective cleanness of temperature and contaminations in the purging systems.

Diverse experiences by active travel for carbon neutrality: A longitudinal study of residential context, daily travel and experience types

Two key goals for sustainable spatial planning are to promote low-carbon travel in daily life and to enhance human wellbeing through diverse human-environment interactions. Yet, the integration of these goals has been underexplored. This study investigates the potential for experiential diversity via active travel in different residential contexts within the Gävle city-region, Sweden. Over 15 months, we collected spatiotemporal data from 165 participants, analyzing 4,362 reported experiences and 13,192 GPS-derived travel trajectories. Our analysis uncovered a significant spatial discrepancy: while the travelled distances to locations of positive experiences typically ranged from 1.5 km to 5 km, active travel predominated only within 1.5 km. This discrepancy persisted across urban, suburban, and peripheral contexts. Although residents in different contexts reported the same types of experiences, urban dwellers travelled about 50 % farther for nature experiences compared with other positive experiences, whereas peripheral dwellers travelled twice the distance for urbanicity experiences compared with other positive experiences. Consequently, urban residents mostly relied on active travel for urbanicity experiences and motorised travel for nature experiences, with the reverse trend observed among peripheral dwellers. These results illustrate the importance of spatial scale for promoting diverse positive experiences via active travel, regardless of residential context. Effective planning strategies may include enhancing environmental diversity near homes and developing infrastructure that favours active over motorised travel for short to moderate distances.

Conserved Cis-Acting Range Extender Element Mediates Extreme Long-Range Enhancer Activity in Mammals.

While most mammalian enhancers regulate their cognate promoters over moderate distances of tens of kilobases (kb), some enhancers act over distances in the megabase range. The sequence features enabling such extreme-distance enhancer-promoter interactions remain elusive. Here, we used in vivo enhancer replacement experiments in mice to show that short- and medium-range enhancers cannot initiate gene expression at extreme-distance range. We uncover a novel conserved cis-acting element, Range EXtender (REX), that confers extreme-distance regulatory activity and is located next to a long-range enhancer of Sall1. The REX element itself has no endogenous enhancer activity. However, addition of the REX to other short- and mid-range enhancers substantially increases their genomic interaction range. In the most extreme example observed, addition of the REX increased the range of an enhancer by an order of magnitude, from its native 71kb to 840kb. The REX element contains highly conserved [C/T]AATTA homeodomain motifs. These motifs are enriched around long-range limb enhancers genome-wide, including the ZRS, a benchmark long-range limb enhancer of Shh. Mutating the [C/T]AATTA motifs within the ZRS does not affect its limb-specific enhancer activity at short range, but selectively abolishes its long-range activity, resulting in severe limb reduction in knock-in mice. In summary, we identify a sequence signature globally associated with long-range enhancer-promoter interactions and describe a prototypical REX element that is necessary and sufficient to confer extreme-distance gene activation by remote enhancers.

Factors Influencing Visits by Baduta Children in the Discovery of Pneumonia at the Way Halim II Health Center

The discovery of pneumonia in toddlers is one of the efforts made to control pneumonia. The very low pneumonia coverage indicates that there are many cases where parents do not take them for treatment to the health center or take them to private health facilities. The aim of the research is to determine the relationship between knowledge, attitudes, distance, family support and the role of cadres with baduta visits in the discovery of pneumonia at the UPT Puskesmas Way Halim in 2023. Type of quantitative research, with a cross sectional approach design. The population in this study were all mothers who had children in the working area of the Way Halim II Health Center UPT, a total of 407 mothers and a sample of 80 respondents who were women and children. Based on the results of the research that has been carried out, researchers concluded that the majority of mothers, namely 52 mothers (65%) did not visit and carry out examinations at the Community Health Center, 48 mothers (60%) had poor knowledge, there were 42 poor mothers (52.5%) have a poor attitude, as many as 55 respondents (68.8%) fall into the category of moderate distance from home from the health center, as many as 53 mothers (66.3%) have poor family support, there are 46 respondents (57.5%) who say that the role of cadres is good. Based on the research results, there is a relationship between mother's knowledge (p-value 0.022), attitude (0.002), distance (0.002), family support (0.024) and there is no relationship between the role of cadres (0.319) and the child's visit to the health center. Way Halim II Bandar Lampung. The suggestion is that mothers are expected to be more responsive and always make visits and examinations to community health centers in an effort to find pneumonia in the working area of Way Halim II Bandar Lampung Public Health Center UPT.

The visual perception of long outdoor distances

Many previous studies have investigated visual distance perception, especially for small to moderate distances. Few experiments, however, have evaluated the perception of large distances (e.g., 100 m or more). The studies that have been conducted have found conflicting results (diametrically opposite conclusions). In the current experiment, the functions relating actual and perceived distance were obtained for sixteen adult observers using the method of equal appearing intervals. These functions relating perceived and actual distance were obtained for outdoor viewing in a typical University environment—the experiment was conducted along a sidewalk adjacent to a typical street where campus buildings, trees, street signs, etc., were visible. The overall results indicated perceptual compression of distances in depth so that the stimulus distance intervals appeared significantly shorter than the actual (physical) distance intervals. It is important to note, however, that there were sizeable individual differences—the judgments of half of the observers were relatively accurate, whereas the judgments of the remaining half were inaccurate to varying degrees. The results of the experiment demonstrate that there is no single function that describes how human observers visually perceive large distance intervals in outdoor environments.

Prototypical Graph Contrastive Learning.

Graph-level representations are critical in various real-world applications, such as predicting the properties of molecules. However, in practice, precise graph annotations are generally very expensive and time-consuming. To address this issue, graph contrastive learning constructs an instance discrimination task, which pulls together positive pairs (augmentation pairs of the same graph) and pushes away negative pairs (augmentation pairs of different graphs) for unsupervised representation learning. However, since for a query, its negatives are uniformly sampled from all graphs, existing methods suffer from the critical sampling bias issue, i.e., the negatives likely having the same semantic structure with the query, leading to performance degradation. To mitigate this sampling bias issue, in this article, we propose a prototypical graph contrastive learning (PGCL) approach. Specifically, PGCL models the underlying semantic structure of the graph data via clustering semantically similar graphs into the same group and simultaneously encourages the clustering consistency for different augmentations of the same graph. Then, given a query, it performs negative sampling via drawing the graphs from those clusters that differ from the cluster of query, which ensures the semantic difference between query and its negative samples. Moreover, for a query, PGCL further reweights its negative samples based on the distance between their prototypes (cluster centroids) and the query prototype such that those negatives having moderate prototype distance enjoy relatively large weights. This reweighting strategy is proven to be more effective than uniform sampling. Experimental results on various graph benchmarks testify the advantages of our PGCL over state-of-the-art methods. The code is publicly available at https://github.com/ha-lins/PGCL.

Determination of Locations for Planting Poles to Support Fiber Optic Cable Networks with the Moora Method

Telecommunication network is a series of telecommunications equipment and accessories used in conducting telecommunications activities. To build an optical network, the most important thing is to plant poles which will be used as network connectors . Pole planting is done based on several factors. In considering some of these factors, of course the company must make the right decision so that the projects carried out are in accordance with the company's targets. Making decisions manually will result in inaccurate and precise results. To reduce inaccuracies in making a decision, we need a system that can help and support companies in making a decision. The MOORA method works by giving weight to each specific criterion. From the weighting evaluation, the results with the highest ranking will be taken to determine decision making. From the results of the trials carried out, the best alternative system and analysis results were obtained from 20 data, namely jl.tuamang with community demand criteria of 47 people, population density of 372 people, moderate location access and distance between pillars of 45 meters with a result of 0.1499.

Modeling reversals of galactic magnetic fields at large distances from centers of milky-way-like galaxies using computations on GPUs

Nowadays it is strongly believed that in a large number of spiral galaxies there are regular magnetic fields. Their existence is proved by measurements of the Faraday rotation of polarization plane of electromagnetic waves which are received on modern radio telescopes. The theoretical description of magnetic fields generation is connected with the mean field dynamo mechanism. It is based on joint action of the ?-effect and differential rotation. At the first stage of evolution, magnetic fields enlarge exponentially with the growth rate described by the largest eigenvalue of the corresponding differential operator. If the field becomes comparable with the equipartition value, the nonlinear terms become more important, and they are connected with saturation of the field growth. The non-linear system of equations has several stationary points, and some of them are stable. According to the contrast structures theory for a quite small turbulent viscosity and some initial conditions, in different regions there will be magnetic fields of opposite directions, and they will be divided by narrow transition layers. Such features, for example, characterize the magnetic field of the Milky Way. Most of the existing works describe reversals for quite moderate distances from the galaxy center. However, it was shown previously that the magnetic field can principally be generated also in outer parts of galaxies, which are situated at distances of more than 10 kpc from the rotation axis. It is interesting to describe the appearance of reversals in such parts of galaxies. In this work we have studied the dynamo action in outer parts of the Milky-Way-like galaxies. It is shown that it is possible to generate opposite magnetic fields there. We have used random initial conditions to obtain spatial reversals. Because of a large volume of computations, they were carried out by using graphics processing units (GPUs).

Histological Evaluation of Arthritis in Mice

Arthritis is one the almost commonly prevalent painful diseases which cause limit the movement of joints. This study conducts to investigate histological alterations resulted in rheumatoid arthritis (RA)-induced in mice and estimating the levels of some serum biomarkers including serum IL-6, CRP and RF. Totally, 30 were purchased, acclimated, and divided into two groups; control that injected distilled water, and arthritis that injected adjuvant (CFA). Post the 25th day of experiment, all study mice of both groups were subjected for collection of blood and right ankle joints. Serologically, the findings of IL-6, CRP and RF of arthritis group were elevated significantly when compare to control mice. Histologically, the findings observed in mice of control group were included the proliferation of chondrocytes of articular cartilage with moderate cellular and subchondral marrow space, infiltration few inflammatory cells in dermis, proliferation of chondrocytes in articular cartilage with absence of inflammatory reaction in synovial cavity, moderate infiltration of inflammatory cells in subcutaneous tissue, nearly normal articular cartilage with regular tidemark and absence of sclerosis in marrow spaces, regenerative articular cartilage and regular tidemark line with presence of very narrow distance between articular cartilage and marrow bone, and existence of normal bone trabeculae. In arthritis mice, there were an infiltration of inflammatory cells in subcutaneous tissues and dermis, marked increases in numbers of osteoclasts, sclerosis, regular tidemark and proliferation of chondrocytes, low amonunt of abscesses in subcutaneous tissue, thickness of bone trabeculae, fragments of bone, subchondral sclerosis, moderate distance between bone and articular cartilage. In conclussion, RA causes severe impacts on tissues of affected joints. Studying the mechanism of inhibition during different inflammatory process appear needed.

Minor age difference substantially affects renal function in conscious and anaesthetized rats*

Abstract In this study we re-examined the postulate that in the rat age-related body metabolism and kidney function changes progress only slowly. Thus we checked whether a moderate between-animal age distance may cause any marked difference, which could affect interpretation of experimental results. Food and water consumption, renal sodium and potassium excretion and haemodynamics were lower in rats aged 15 versus 9 weeks. In turn, hematocrit, mean arterial pressure, and renal vascular resistance were significantly higher in older animals, whereas renal excretion of NO3-/NO2- and vascular endothelial growth factor A and in situ renal tissue NO signal did not differ. Evidently, an age older by 6 weeks was associated with decreased hydration, tone of systemic and renal blood vessels, and renal excretion. In conclusion, since the actual age is an important determinant of the animal’s functional status, accurate age-matching of experimental groups is a necessary pre-condition for correct data interpretation.

Formation of giant planets around intermediate-mass stars

ABSTRACT To understand giant planet formation, we need to focus on host stars close to $M_{\star }{=}1.7\, \rm M_\odot$, where the occurrence rate of these planets is the highest. In this initial study, we carry out pebble-driven core accretion planet formation modelling to investigate the trends and optimal conditions for the formation of giant planets around host stars in the range of $1\!-\!2.4\ \rm {\rm M}_{\odot }$. We find that giant planets are more likely to form in systems with a larger initial disc radius; higher disc gas accretion rate; pebbles of ∼millimeter in size; and birth location of the embryo at a moderate radial distance of ∼10 au. We also conduct a population synthesis study of our model and find that the frequency of giant planets and super-Earths decreases with increasing stellar mass. This contrasts the observational peak at $1.7\, \rm M_\odot$, stressing the need for strong assumptions on stellar mass dependencies in this range. Investigating the combined effect of stellar mass dependent disc masses, sizes, and lifetimes in the context of planet population synthesis studies is a promising avenue to alleviate this discrepancy. The hot-Jupiter occurrence rate in our models is $\sim 0.7\!-\!0.8~{{\ \rm per\ cent}}$ around $1\, \rm M_\odot$ – similar to RV observations around Sun-like stars, but drastically decreases for higher mass stars.

Simulation-Assisted DNA Nanodevice Serve as a General Optical Platform for Multiplexed Analysis of Micrornas.

Small frame nucleic acids (FNAs) serve as excellent carrier materials for various functional nucleic acid molecules, showcasing extensive potential applications in biomedicine development. The carrier module and function module combination is crucial for probe design, where an improper combination can significantly impede the functionality of sensing platforms. This study explores the effect of various combinations on the sensing performance of nanodevices through simulations and experimental approaches. Variances in response velocities, sensitivities, and cell uptake efficiencies across different structures are observed. Factors such as the number of functional molecules loaded, loading positions, and intermodular distances affect the rigidity and stability of the nanostructure. The findings reveal that the structures with full loads and moderate distances between modules have the lowest potential energy. Based on these insights, a multisignal detection platform that offers optimal sensitivity and response speed is developed. This research offers valuable insights for designing FNAs-based probes and presents a streamlined method for the conceptualization and optimization of DNA nanodevices.