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"All the President's Men" is a film analyzed by Christian Keathley and Robert B. Ray in their book. The authors argue that the film focuses on the experience of disorientation and uncertainty rather than the outcome of the investigation. The film, which follows the reporters Bob Woodward and Carl Bernstein as they investigate the Watergate scandal, recreates the feeling of being lost in a maze of clues and information. The book provides a close reading of the film's narrative structure, mise-en-scène, and cinematography, and argues for its status as an American classic. The authors also discuss the blend of art movie, classical studio-era, and New Hollywood elements in the film, as well as the deliberate choice to obscure and omit relevant story information. The book offers valuable insights for students of close reading methods and scholars of Hollywood history and style. [Extracted from the article]

The benefits of outdoor education are well known and irreplaceable. Teachers of environmental lessons frequently ask themselves what kind of cartographic support (paper maps or mobile navigators) to offer their students doing fieldwork either navigating to selected points or being engaged in the research of a selected environment. In this article, we compare the success rates of children using either a paper map or mobile navigation with respect to independence, accuracy and speed when walking (wayfinding) through an unfamiliar environment. We collected the data by observing 122 primary school students of six different schools as they individually walked through a suburban area of Ljubljana, Slovenia. The results show that the children were more independent and made fewer mistakes when using a mobile navigator than when using a paper map. They were able to use mobile navigation successfully after having received only a short (2-minute-long) demonstration, even if they had never used such a device before. [ABSTRACT FROM AUTHOR]

Finding life in our patients is a common goal for analysts. Historically this project had been defined as one of freeing unacceptable impulses from their imprisoning defenses with the analyst, via interpretation, then contrasting the patient’s internal fantasied reality with “actual” reality. Untangling fantasy from reality could free the impulses to provide energy for more realistic projects. This imagery stands in stark contrast to the fluidity of a contemporary relational conceptualization of human experience where our inner experience is now understood to be the lens through which weconstructour vision of external reality, always a subjective perception. Clinical change—finding life—now depends more on the activation of a generative intersubjective process between patient and analyst, which contributes to the expansion of the patient’s subjective experience. Gianni Nebbiosi’s use of music and of mime to help him feel his way into his patient’s and ultimately into his own similarly defended experience demonstrates the creativity and idiosyncratic clinical approaches that emerge from a contemporary relational orientation. This orientation recognizes the analyst’s subjectivity as a fundamental tool of clinical change—a vehicle through which any theoretical approach will necessarily be shaped. Differing approaches to a clinical situation do not always simply reflect theoretical disagreements; they may also reflect the expression of the particular subjectivity of the analyst. [ABSTRACT FROM AUTHOR]

Background: Early evidence in using online cognitive assessments show that they could offer a feasible and resource-efficient alternative to in-person clinical assessments in evaluating cognitive performance, yet there is currently little understanding about how these assessments relate to traditional, in-person cognitive tests. Objectives: In this preliminary study, we assess the feasibility and reliability of NeurOn, a novel online cognitive assessment tool. NeurOn measures various cognitive domains including processing speed, executive functioning, spatial working memory, episodic memory, attentional control, visuospatial functioning, and spatial orientation. Design: Thirty-two participants (mean age: 70.19) completed two testing sessions, unsupervised online and in-person, one-week apart. Participants were randomised in the order of testing appointments. For both sessions, participants completed questionnaires prior to a cognitive assessment. Test-retest reliability and concurrent validity of the online cognitive battery was assessed using intraclass correlation coefficients (ICCs) and correlational analysis, respectively. This was conducted by comparing performance in repeated tasks across testing sessions as well as with traditional, in-person cognitive tests. Results: Global cognition in the NeurOn battery moderately validated against MoCA performance, and the battery demonstrated moderate test-retest reliability. Concurrent validity was found only between the online and paper versions of the Trail Making Test -A, as well as global cognitive performance between online and in-person testing sessions. Conclusions: The NeurOn cognitive battery provides a promising tool for measuring cognitive performance online both longitudinally and across short retesting intervals within healthy older adults. When considering cost-effectiveness, flexible administration, and improved accessibility for wider populations, online cognitive assessments show promise for future screening of neurodegenerative diseases. [ABSTRACT FROM AUTHOR]

This paper explores the spatial dimension of Fleming's Left Hand Rule (LHR), commonly-used in Physics instruction for determining the direction of force using the left hand's thumb, forefinger and middle finger. A new instrument was developed to gauge students' ability to coordinate their fingers in 3D space (egocentric frame of reference) based on representations of tasks on paper/screen (allocentric frame of reference). The LHR scores from a sample of 530 Grade 10 and 11 students revealed a significant correlation to standard spatial reasoning measures, with a reliability of 0.77. About 90% of the students scored less than 10 points out of 22, highlighting the relevance of the spatial skills required for articulating the LHR. Science students performed significantly better than non-Science students. The manipulation of the LHR was strongly influenced by the degree of angular disparity between the body frame and task-defined frame and the kinaesthetic constraints required to rotate the triad of fingers as a perpendicular frame. [ABSTRACT FROM AUTHOR]

Experimental demonstrations of polarization-selection two-dimensional Vibrational-Electronic (2D VE) and 2D Electronic-Vibrational (2D EV) spectroscopies aim to map the magnitudes and spatial orientations of coupled electronic and vibrational coordinates in complex systems. The realization of that goal depends on our ability to connect spectroscopic observables with molecular structural parameters. In this paper, we use a model Hamiltonian consisting of two anharmonically coupled vibrational modes in electronic ground and excited states with linear and bilinear vibronic coupling terms to simulate polarization-selective 2D EV and 2D VE spectra. We discuss the relationships between the linear vibronic coupling and two-dimensional Huang–Rhys parameters and between the bilinear vibronic coupling term and Duschinsky mixing. We develop a description of the vibronic transition dipoles and explore how the Hamiltonian parameters and non-Condon effects impact their amplitudes and orientations. Using simulated polarization-selective 2D EV and 2D VE spectra, we show how 2D peak positions, amplitudes, and anisotropy can be used to measure parameters of the vibronic Hamiltonian and non-Condon effects. This paper, along with the first in the series, provides the reader with a detailed description of reading, simulating, and analyzing multimode, polarization-selective 2D EV and 2D VE spectra with an emphasis on extracting vibronic coupling parameters from complex spectra. [ABSTRACT FROM AUTHOR]

Examining the feat of maintaining life in orbit draws a sharp focus to the relationship between the human body and its environment, the porous and circulatory matter that blurs any boundaries between habitat and habitant. These intimate, engineered spaces evoke a microcosm of urgent planetary concerns surrounding air and water resources, and waste capture, storage, and elimination. This paper explores NASA's management of biological operations and discharge wastes in low gravity environments. Without strong gravitational fields, liquids coalesce at the location they are created, instead of flowing down and away. Such excesses disrupt the orderly engineered environments and minutely monitored bodies of these techno-scientific endeavors. Analyzing astronaut tears, space gynecology, zero-g surgery, and NASA's "Space Poop Challenge" through feminist queer and disability theory, new materialist, and discard studies lenses, this paper seeks to refigure the deeply entangled relationships between fleshy bodies and planetary bodies, biomass and geomass, and prompt new discussions of gravity politics. [ABSTRACT FROM AUTHOR]

Much effort has been expended on building cellular computational devices for different applications. Despite the significant advances, there are still several addressable restraints to achieve the necessary technological transference. These improvements will ease the development of end-user applications working out of the lab. In this study, we propose a methodology for the construction of printable cellular devices, digital or analogue, for different purposes. These printable devices are designed to work in a 2D surface, in which the circuit information is encoded in the concentration of a biological signal, the so-called carrying signal. This signal diffuses through the 2D surface and thereby interacts with different device components. These components are distributed in a specific spatial arrangement and perform the computation by modulating the level of the carrying signal in response to external inputs, determining the final output. For experimental validation, 2D cellular circuits are printed on a paper surface by using a set of cellular inks. As a proof-of-principle, we have printed and analysed both digital and analogue circuits using the same set of cellular inks but with different spatial topologies. The proposed methodology can open the door to a feasible and reliable industrial production of cellular circuits for multiple applications. Synthetic biology circuits are finding application in a wide range of computational devices, such as contaminant detection. Here, the authors design 2D paper circuits in which the spatial orientation of the cellular components specifies function. [ABSTRACT FROM AUTHOR]

This paper proposes a mathematical model for the shading profiles of a PV module with thin, long linear elements. The model includes the brightness distribution over the entire shading region (umbra, penumbra, and antumbra). A corresponding calculation code in the form of m-files has been prepared for the MATLAB environment. The input data for the calculations are the coordinates of the Sun's position in the sky, the dimensions and spatial orientation of the shading element, and the spatial orientation of the shaded PV module. The correctness of the model was verified by a measurement experiment carried out under actual outdoor weather conditions. Statistical analysis of the comparison between the measurement data from the experiment and the model showed its high accuracy. As part of this research work, it was also checked how shading with thin linear elements affects the current–voltage characteristics of the module. It turned out that even a small linear shading could reduce the power output of the module by more than 6%, with the distribution of this shading across the individual cells of the module being extremely important. [ABSTRACT FROM AUTHOR]

This paper presents a novel analytical solution for the buckling load in 3D of columns that fills a gap in the existing literature by accounting for shear deformation and spatial effects. The latter means that a column can be supported and buckle in any direction. We build on the foundational work of Simo and use a 3D beam model to derive a set of equations that form the basis for our analytical solution. The paper outlines the axioms of the Simo model, presents the corresponding equations, and describes the linearization procedure in details. By linearizing the equations we obtain a set of algebraic equations with boundary conditions, which we manipulate into an analytical solution for the buckling load. An illustrative example using a column with an elliptical cross-section shows how different boundary conditions and the spatial orientation of the column influence the buckling load. This research work not only contributes to the verification of numerical programs, but also provides engineers with a valuable tool for optimizing structural configurations. [ABSTRACT FROM AUTHOR]

This paper aims to develop a theoretical interpretation of how satellite navigation transforms drivers' experience of automotive spaces. The use of satellite navigation has, so far, been predominantly studied from a cognitivist perspective based on the computer model of cognition and the theory of spatial disengagement. Experimental studies have concluded that over-reliance on digital navigation tools diminishes spatial orientation and spatial memory. According to the dominant interpretation, satellite navigation causes disengagement from space. After addressing these approaches, the paper introduces an embodied perspective of satellite navigation. This is accomplished by applying the phenomenology of perception of Maurice Merleau-Ponty, whose notions, such as perception, body schema, motor habit, and virtual body, illuminate otherwise undertheorized dimensions of drivers' spaces. By using digital tools for wayfinding, drivers' body schema, virtual body, and perception of space are modified, thereby enabling an engagement with convoluted 'mesh spaces.' This new term is integral to the interpretation of drivers' spaces, as well as being distinct from that of 'hybrid space,' although both aim to conceptualize spaces, including physical objects and their visual representations. Conclusions will be drawn against the broader context of the mediatization of everyday life. [ABSTRACT FROM AUTHOR]

This document, titled "The Contribution of Internal and External Factors to Human Spatial Navigation," explores the various factors that influence spatial navigation. The authors discuss the importance of cognitive processes such as memory, attention, and problem-solving skills, as well as internal and external factors like age, gender, familiarity with the environment, and landmark attributes. The document includes seven papers from distinguished scientists in the field, covering topics such as verbal and imagery-based strategies, bilingualism, mood disorders, different types of cognitive maps, the effects of spaceflight on brain activity, and the influence of cues and gender on spatial navigation. The authors emphasize the need for further research to fully understand the complex factors that impact navigation and to develop new approaches and protocols. [Extracted from the article]

Copyright of Clinical Neuroscience / Ideggyógyászati Szemle is the property of LifeTime Media Kft. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The space industry is known as an economic driver for many world economies. In Iran, the acquisition of satellite technology knowledge is one of the achievements of the country's scientific and technological indicators in recent years, but the position and importance of optimal investment in this industry in Iran have been ignored. The optimal technology portfolio is one of the tools that can cover this gap and lead to better decision-making by policymakers. In this paper, the optimum technology portfolio determination regarding its goals, attributes and challenges is addressed for Iran's space industry with a hybrid quantitative–qualitative method in two short and medium-term periods. We formulate a technology portfolio selection model with these multi-objective functions: maximization of benefits in using different technologies comprising of both short and medium-term portfolios, maximizing the total summation of all Technology Readiness Levels (TRLs) of technologies, maximizing the acquisition speed for the technologies, and minimizing the acquisition risk of technologies in each portfolio. In the proposed model, the usability, acquisition cost, and complexity of each technology are considered meticulously. Also, the goal programming method is used to integrate the objective functions. Another novelty of this paper is the formulation of two portfolios with two different periods in which their corresponding inputs and outputs affect the other. This research can significantly help in directing the country's investment in the space industry, spatial ecosystem orientation, facilitating the creation of space-based businesses, improving economic growth, and also providing guidelines to improve the related policies in this area. In addition, this research can be an inspiration for other developing countries in the space industry. [ABSTRACT FROM AUTHOR]

Sensorless control based on high-frequency square-wave voltage injection (HFSVI) is one of the most common sensorless control methods for synchronous reluctance motors (SynRMs). However, the injection frequency for SynRMs cannot be too high due to various factors. As the injection frequency decreases, the dead-time harmonic current will greatly affect the separation of high frequency signals. This paper analyzes the effect of dead-time harmonic current on the HFSVI-based sensorless control performance of SynRMs and proposes a source of position estimation error. Then, a dead-time compensation method suitable for filter-free HFSVI is proposed. It can estimate current vector spatial orientation without any low-pass filters (LPFs) and effectively compensate the impact of dead-time setting. The correctness of the theoretical analysis and the feasibility of the proposed methods in this paper are verified by experiments. [ABSTRACT FROM AUTHOR]

Based on a targeted literature review, this vision paper emphasizes the importance of dementia-sensitive built space. The article specifically focuses on supporting spatial orientation and wayfinding for people living with dementia. First, we discuss types of wayfinding challenges, underlying processes, and consequences of spatial disorientation in the context of dementia of the Alzheimer's type. Second, we focus on current efforts aimed at planning and evaluating dementia-sensitive built space, i.e., environmental design principles, interventions, evaluation tools, strategies, and planning processes. Third, we use our findings as a starting point for developing an interdisciplinary research vision aimed at encouraging further debates and research about: (1) the perspective of a person with dementia, specifically in the context of wayfinding and spatial orientation, and (2) how this perspective supplements planning and design processes of dementia-sensitive built space. We conclude that more closely considering the perspective of people with dementia supports the development of demographically sustainable future cities and care institutions. [ABSTRACT FROM AUTHOR]

The paper is devoted to the problem of reconstructing stress state of the rock mass using data on natural fractures. A particular problem of reconstructing stress profiles along the well trajectory from data on spatial orientations and activity of natural fractures in well surrounding rock masses is considered. An approach for estimation of tectonic stresses from these data developed in the previous studies is considered with regard to the specifics of inverse problem solution. An optimization problem emerging during stress reconstruction procedure is stated and various methods of its solution are analyzed. Four different ways to define the objective functions measuring the degree of agreement between real and modeled fractures properties which can be used to reconstruct stresses based on natural fractures related data. The effect of objective function definition on the inverse problem solution is studied in a comparative way. To do that, a synthetic fracture model is constructed; the problem of rock mass stress state reconstruction is stated and solved for the synthetic model using different objective functions. It is revealed that variation of objective function used in practice for stress state reconstruction from natural fractures data leads both to alteration of the obtained solution for the inverse problem and solution uniqueness and stability with regard to worsening of the input data. The paper presents certain conclusions related to the suggestions on choosing a particular objective function for inverse problem solution depending on presence and quality of data related to natural fractures. [ABSTRACT FROM AUTHOR]

Copyright of Hydrogeology Journal is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the past decade, a large volume of peer‐reviewed papers has examined the potential impacts of oil and gas resource extraction in the Canadian oil sands (OS). A large proportion focuses on terrestrial biology: wildlife, birds, and vegetation. We provide a qualitative synthesis of the condition of the environment in the oil sands region (OSR) from 2009 to 2020 to identify gaps and progress cumulative effects assessments. Our objectives were to (1) qualitatively synthesize and critically review knowledge from the OSR; (2) identify consistent trends and generalizable conclusions; and (3) pinpoint gaps in need of greater monitoring or research effort. We visualize knowledge and terrestrial monitoring foci by allocating papers to a conceptual model for the OS. Despite a recent increase in publications, focus has remained concentrated on a few key stressors, especially landscape disturbance, and a few taxa of interest. Stressor and response monitoring is well represented, but direct monitoring of pathways (linkages between stressors and responses) is limited. Important knowledge gaps include understanding effects at multiple spatial scales, mammal health effects monitoring, focused monitoring of local resources important to Indigenous communities, and geospatial coverage and availability, including higher attribute resolution in human footprint, comprehensive land cover mapping, and up‐to‐date LiDAR coverage. Causal attribution based on spatial proximity to operations or spatial orientation of monitoring in the region is common but may be limited in the strength of inference that it provides. Integr Environ Assess Manag 2022;18:388–406. © 2021 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC). KEY POINTS: We provide a qualitative synthesis of the condition of the environment in the Canadian oil sands region (OSR) in northeastern Alberta from 2009 to 2020 to identify gaps and progress cumulative effects assessments. Despite a recent increase in publications, focus has remained concentrated on a few key stressors and a few taxa of interest, for which monitoring is well represented, though direct monitoring of pathways (linkages between stressors and responses) is limited. Important gaps include a lack of understanding of effects at multiple spatial scales, a lack of focused monitoring of local resources important to Indigenous communities, and geospatial data resolution and availability. Causal attribution based on spatial proximity to oil sands operations or spatial orientation of monitoring in the OSR is common but may be limited in the strength of inference that it provides. [ABSTRACT FROM AUTHOR]

This paper investigates "directionals" or geocentric spatial terms in Lamaholot, examining the interaction between directionals, topographic environment, and cultural construals of landscape. Lamaholot is an Austronesian language of eastern Indonesia spoken on the volcanic island of Flores. The Lewotobi dialect, with which this paper is concerned, is spoken on the coastal area between Mt. Lewotobi and the Solor Sea. Reflective of this topographic environment, this language has "directionals" or grammatical terms defined with respect to landmarks: rae 'mountainward', lau 'seaward', wəli 'parallel with the coast', teti 'upward', and lali 'downward'. After describing how the spatial orientation represented by directionals is embedded in linguistic and sociocultural practices in Lamaholot-speaking communities, this paper shows that directionals exhibit intriguing diversity in interpretation and morphosyntax: they constitute a coordinate system for geocentric frame of reference, refer to different directions depending on different construals of landscape, and can appear in various syntactic positions. It is argued that this diversity can be understood in terms of a complex interplay of topographic environment, sociocultural practices, language uses, and linguistic repertoire, as assumed in the Sociotopographic Model (Palmer, Bill, Jonathon Lum, Jonathan Schlossberg & Alice Gaby. 2017. How does the environment shape spatial language? Evidence for sociotopography. Linguistic Typology 21(3). 457–491). Thus, the directional system in Lamaholot makes a strong case for a sociotopographic approach to spatial language. [ABSTRACT FROM AUTHOR]

Determining the attitude of a non-cooperative target in space is an important frontier issue in the aerospace field, and has important application value in the fields of malfunctioning satellite state assessment and non-cooperative target detection in space. This paper proposes a non-cooperative target attitude estimation method based on the deep learning of ground and space access (GSA) scene radar images to solve this problem. In GSA scenes, the observed target satellite can be imaged not only by inverse synthetic-aperture radar (ISAR), but also by space-based optical satellites, with space-based optical images providing more accurate attitude estimates for the target. The spatial orientation of the intersection of the orbital planes of the target and observation satellites can be changed by fine tuning the orbit of the observation satellite. The intersection of the orbital planes is controlled to ensure that it is collinear with the position vector of the target satellite when it is accessible to the radar. Thus, a series of GSA scenes are generated. In these GSA scenes, the high-precision attitude values of the target satellite can be estimated from the space-based optical images obtained by the observation satellite. Thus, the corresponding relationship between a series of ISAR images and the attitude estimation of the target at this moment can be obtained. Because the target attitude can be accurately estimated from the GSA scenes obtained by a space-based optical telescope, these attitude estimation values can be used as training datasets of ISAR images, and deep learning training can be performed on ISAR images of GSA scenes. This paper proposes an instantaneous attitude estimation method based on a deep network, which can achieve robust attitude estimation under different signal-to-noise ratio conditions. First, ISAR observation and imaging models were created, and the theoretical projection relationship from the three-dimensional point cloud to the ISAR imaging plane was constructed based on the radar line of sight. Under the premise that the ISAR imaging plane was fixed, the ISAR imaging results, theoretical projection map, and target attitude were in a one-to-one correspondence, which meant that the mapping relationship could be learned using a deep network. Specifically, in order to suppress noise interference, a UNet++ network with strong feature extraction ability was used to learn the mapping relationship between the ISAR imaging results and the theoretical projection map to achieve ISAR image enhancement. The shifted window (swin) transformer was then used to learn the mapping relationship between the enhanced ISAR images and target attitude to achieve instantaneous attitude estimation. Finally, the effectiveness of the proposed method was verified using electromagnetic simulation data, and it was found that the average attitude estimation error of the proposed method was less than 1°. [ABSTRACT FROM AUTHOR]

Data visualization blends art and science to convey stories from data via graphical representations. Considering different problems, applications, requirements, and design goals, it is challenging to combine these two components at their full force. While the art component involves creating visually appealing and easily interpreted graphics for users, the science component requires accurate representations of a large amount of input data. With a lack of the science component, visualization cannot serve its role of creating correct representations of the actual data, thus leading to wrong perception, interpretation, and decision. It might be even worse if incorrect visual representations were intentionally produced to deceive the viewers. To address common pitfalls in graphical representations, this paper focuses on identifying and understanding the root causes of misinformation in graphical representations. We reviewed the misleading data visualization examples in the scientific publications collected from indexing databases and then projected them onto the fundamental units of visual communication such as color, shape, size, and spatial orientation. Moreover, a text mining technique was applied to extract practical insights from common visualization pitfalls. Cochran's Q test and McNemar's test were conducted to examine if there is any difference in the proportions of common errors among color, shape, size, and spatial orientation. The findings showed that the pie chart is the most misused graphical representation, and size is the most critical issue. It was also observed that there were statistically significant differences in the proportion of errors among color, shape, size, and spatial orientation. [ABSTRACT FROM AUTHOR]

How can the interactive mode of a map be optimized to facilitate efficient positioning and improve cognitive efficiency? This paper addresses this crucial aspect of map design. It explores the impact of spatial reference frames, map dimensionality, and navigation modes on spatial orientation efficiency, as well as their interactions, through empirical eye-movement experiments. The results demonstrate the following: (1) When using a 2D fixed map in an allocentric reference frame, participants exhibit a high correct rate, a low cognitive load, and a short reaction time. In contrast, when operating within an egocentric reference frame using a 2D rotating map, participants demonstrate a higher correct rate, a reduced cognitive load, and a quicker reaction time. (2) The simplicity of 2D maps, despite their reduced authenticity compared to 3D maps, diminishes users' cognitive load and enhances positioning efficiency. (3) The fixed map aligns more closely with the cognitive habits of participants in the allocentric reference frame, while the rotating map corresponds better to the cognitive habits of participants in the egocentric reference frame, thereby improving their cognitive efficiency. This study offers insights that can inform the optimization design of spatial orientation efficiency. [ABSTRACT FROM AUTHOR]

Moran's index is an important spatial statistical measure used to determine the presence or absence of spatial autocorrelation, thereby determining the selection orientation of spatial statistical methods. However, Moran's index is chiefly a statistical measurement rather than a mathematical model. This paper is devoted to establishing spatial autocorrelation models by means of linear regression analysis. Using standardized vector as independent variable, and spatial weighted vector as dependent variable, we can obtain a set of normalized linear autocorrelation equations based on quadratic form and vector inner product. The inherent structure of the models' parameters are revealed by mathematical derivation. The slope of the equation gives Moran's index, while the intercept indicates the average value of standardized spatial weight variable. The square of the intercept is negatively correlated with the square of Moran's index, but omitting the intercept does not affect the estimation of the slope value. The datasets of a real urban system are taken as an example to verify the reasoning results. A conclusion can be reached that the inner product equation of spatial autocorrelation based on Moran's index is effective. The models extend the function of spatial analysis, and help to understand the boundary values of Moran's index. [ABSTRACT FROM AUTHOR]

In the past, plant layouts were regarded as highly static structures. With increasing internal and external factors causing turbulence in operations, it has become more necessary for companies to adapt to new conditions in order to maintain optimal performance. One possible way for such an adaptation is the adjustment of the plant layout by rearranging the individual facilities within the plant. Since the information about the plant layout is considered as master data and changes have a considerable impact on interconnected processes in production, it is essential that this data remains accurate and up-to-date. This paper presents a novel approach to create a digital shadow of the plant layout, which allows the actual state of the physical layout to be continuously represented in virtual space. To capture the spatial positions and orientations of the individual facilities, a pan-tilt-zoom camera in combination with fiducial markers is used. With the help of a prototypically implemented system, the real plant layout was captured and converted into different data formats for further use in exemplary external software systems. This enabled the automatic updating of the plant layout for simulation, analysis and routing tasks in a case study and showed the benefits of using the proposed system for layout capturing in terms of accuracy and effort reduction. [ABSTRACT FROM AUTHOR]

Linear conveyors, traditional tools for cargo transportation, have faced criticism due to their directional constraints, inability to adjust poses, and single-item conveyance, making them unsuitable for modern flexible logistics demands. This paper introduces a platform designed to convey and adjust cargo boxes according to their spatial positions and orientations. Additionally, a cargo pose recognition algorithm that integrates image and point cloud data are presented. By aligning depth camera data, the axis-aligned bounding box (AABB) point serves as the image's region of interest (ROI). Peaks extracted from the image's Hough transform are refined using RANSAC-based point cloud linear fitting, then integrated with the point cloud's oriented bounding box (OBB). Notably, the algorithm eliminates the need for deep learning and registration, enabling its use in rectangular cargo boxes of various sizes. A comparative experiment using accelerometer sensors for pose acquisition revealed a deviation of <0.7° between the two processes. Throughout the real-time adjustments controlled by the experimental platform, cargo angles consistently remained stable. The proposed two-dimensional conveyance platform, compared to existing methods, exhibits simplicity, accurate recognition, enhanced flexibility, and wide applicability. [ABSTRACT FROM AUTHOR]

Development of modern microwave devices largely exploits full-wave electromagnetic (EM) simulations. Yet, simulation-driven design may be problematic due to the incurred CPU expenses. Addressing the high-cost issues stimulated the development of surrogate modeling methods. Among them, data-driven techniques seem to be the most widespread owing to their flexibility and accessibility. Nonetheless, applicability of approximation-based modeling for real-world microwave components is hindered by a high nonlinearity of the system characteristics, dimensionality issues, and broad ranges of operating parameters the model should cover to make it practically useful. Performance-driven modeling frameworks deliver a partial mitigation of these problems through appropriate spatial orientation of the metamodel domain, which only encapsulates high-quality designs and not the entire space. Unfortunately, the initial model setup cost is high, as defining the domain requires database designs that need to be a priori acquired. This paper introduces a novel approach, where the database designs are replaced by random observables, and dimensionality of the domain is reduced using spectral analysis thereof. The major contributions of the work include implementation of the explicit dimensionality reduction of the confined surrogate model domain and introducing this concept into a complete cost-efficient framework for modeling of microwave components. Comprehensive benchmarking demonstrates excellent performance of the introduced framework, both in terms of predictive power of the rendered surrogates, their scalability properties, as well as low computational overhead associated with the model setup. [ABSTRACT FROM AUTHOR]

Spatial perspective taking is an essential cognitive ability that enables people to imagine how an object or scene would appear from a perspective different from their current physical viewpoint. This process is fundamental for successful navigation, especially when people utilize navigational aids (e.g., maps) and the information provided is shown from a different perspective. Research on spatial perspective taking is primarily conducted using paper-pencil tasks or computerized figural tasks. However, in daily life, navigation takes place in a three-dimensional (3D) space and involves movement of human bodies through space, and people need to map the perspective indicated by a 2D, top down, external representation to their current 3D surroundings to guide their movements to goal locations. In this study, we developed an immersive viewpoint transformation task (iVTT) using ambulatory virtual reality (VR) technology. In the iVTT, people physically walked to a goal location in a virtual environment, using a first-person perspective, after viewing a map of the same environment from a top-down perspective. Comparing this task with a computerized version of a popular paper-and-pencil perspective taking task (SOT: Spatial Orientation Task), the results indicated that the SOT is highly correlated with angle production error but not distance error in the iVTT. Overall angular error in the iVTT was higher than in the SOT. People utilized intrinsic body axes (front/back axis or left/right axis) similarly in the SOT and the iVTT, although there were some minor differences. These results suggest that the SOT and the iVTT capture common variance and cognitive processes, but are also subject to unique sources of error caused by different cognitive processes. The iVTT provides a new immersive VR paradigm to study perspective taking ability in a space encompassing human bodies, and advances our understanding of perspective taking in the real world. [ABSTRACT FROM AUTHOR]

In pipeline ultrasonic testing, the accurate identification of defect types is a prerequisite for quantifying defect sizes. To this end, this paper proposes a defect identification algorithm based on the combination of Wavelet Packet Transform (WPT), Distance Evaluation Technique (DET) and GA-SVM to precisely identify defect boundaries. First, the ultrasonic echo signals are processed using WPT to more accurately extract defect information. Then, DET is employed to eliminate redundant feature parameters, which are sorted by sensitivity to determine the input feature parameters for the GA-SVM. On this basis, a self-developed ultrasonic testing experimental system is used to collect ultrasonic echo signals from Q235 steel pipes with cylindrical, spherical, and conical defects at different spatial orientations of the probe and the pipe. After processing and identifying the signals, it was found that the proposed algorithm achieves an average identification accuracy of 99% for different types of defects, thereby realising automatic identification of pipeline defects. The results provide new ideas and methods for the intelligent identification of volumetric defect types in pipeline ultrasonic internal testing and promote the development of industrial-grade ultrasonic internal detectors. [ABSTRACT FROM AUTHOR]

The aim of this paper is to propose a new approach permitting the investigation of the 3D pore variation of kaolin K13 in relation with mechanical loading. A mechanical loading consisting of one-dimensional compression and oedometric loading is applied to a sample of centimeter scale. A postmortem protocol using scanning electron microscopy (SEM) coupled with Focused Ion Beam (FIB) was carried out to observe and then obtain a large number of slices of an extracted sub-volume from the small sample. Image analysis using a new processing method enabled the reconstruction of the observed and extracted sub-volume in the form of a rebuilt sub-volume. The segmentation of pores and particles was carried out using an approach based on machine learning and the pore space properties can be quantified. Pore morphology was identified based on two parameters namely the flatness and the elongation. Spatial orientation can also be locally determined. The proposed treatment enabled the distribution of pore size (termed Im_PSD) to be deduced and these were then compared with the results of Mercury intrusion porosimetry technique. [ABSTRACT FROM AUTHOR]

The Neuroimaging Approach to Studying Early Spatial Development The last article of this special issue, " I Neural Correlates of Mental Rotation in Preschoolers with High or Low Working Memory Capacity: An fNIRS Study," i is an fNIRS study of the differentiated neural correlates of mental rotation (MR) in preschoolers with high and low working memory. Keywords: multidisciplinary approaches; early spatial skills; neuroimaging approach; linguistic approach; behavioral approach EN multidisciplinary approaches early spatial skills neuroimaging approach linguistic approach behavioral approach N.PAG N.PAG 4 04/26/21 20210409 NES 210409 Spatial cognition is a fundamental component of human cognition. Another consensus from the existing correlational and experimental studies is the neglected value of daily spatial activities, such as paper folding and block building, on early spatial development. In addition, they also analyzed the effects of several moderators such as the type of study design, sex, age, outcome category, research setting, and type of training. [Extracted from the article]

Mobile devices such as smartphones are increasingly being used for immersive content consumption, mostly involving 360o̱ video and 3D audio media delivery. However these smartphones, especially low-cost ones, are still not able to provide the processing and battery power needed for a real-time rendering, visualization and interaction with photorealistic virtual reality scenes. In this context, this paper proposes and evaluates U-DiVE (Unity-based Distributed Virtual Reality Environment), a framework that decouples the processing and rendering processes from the delivery, visualization and interaction with realistic VR models. The U-DiVE framework produces a photorealistic scene using a general ray-tracing algorithm and a virtual reality camera configured to use barrel shaders to correct the lens distortion, allowing the visualization through inexpensive smartphone-based head-mount displays. The framework also includes a method to obtain the smartphone's spatial orientation to control the user's field of view, which is delivered via real-time WebRTC streaming. The analysis show U-DiVE allows for the real-time visualization and manipulation of realistic, immersive scenes via smartphone-based, low-cost head-mounted displays, with low end-to-end latency, considering the required continuous data processing and delivery. [ABSTRACT FROM AUTHOR]

The mobility of today and tomorrow is characterized by technological change and new challenges in drive concepts such as electric or hydrogen vehicles. Abolishing conventional combustion engines creates even more need for switching or valve technology in mobility systems. For switching and controlling purposes, solenoids are used in large numbers and in a wide variety of applications, thus making a significant contribution to the overall success of the energy transition, and not only in the automotive sector. Despite their long existence, continued research is being carried out on solenoids involving new materials and actuator concepts. Great interest is focused on providing an adjustable force–displacement characteristic while simultaneously reducing the noise during switching. At IKFF, research is being conducted on hybrid electromagnets in the border area of switching and holding solenoids. This paper aims to present the major advantages of this hybrid drive concept based on an electromagnetic FEA simulation study of two drive concepts and specially developed and characterized prototypes with magnetic shape memory (MSM) alloys. The concepts differ in the spatial orientation of the MSM sticks to generate an active stroke of the plunger, which contributes to a beneficial force–displacement characteristic and lower power consumption while minimizing switching noise. [ABSTRACT FROM AUTHOR]

In this paper, archaeo- and ethnoastronomical methods are used to investigate the orientation of synagogues, graves and prayer among Ashkenazi Jewish communities in the centralnorthern part of the Argentinian Province of Santa Fe, in the southern Gran Chaco region of South America. These communities have their origin in Jewish agricultural colonies, which were established by immigrants from central and eastern Europe who arrived during the late nineteenth and early twentieth centuries. The study shows the complexity of the logics involved in the construction of the meaning of spatial orientations in local Jewish religious practices, and also the necessity of ethnographic surveys as a complement to quantitative studies of orientations. [ABSTRACT FROM AUTHOR]

In order to achieve their functional purpose – that of organizing the urban landscape and helping locating people and geographical objectives through an efficient addressing system – street names are bound to remain stable spatial landmarks. On the other hand, street names are also semiotic devices of signifying space with the political and commemorative agenda of the ruling power. This latter characteristic renders them vulnerable to successive renaming following important power-shifts and especially regime changes. What happens when the ideological imperative of politicizing the street nomenclature undermines its functional requirement of providing spatial orientation through extensive renaming? Such a tensional situation is examined in the case of postwar Sibiu between 1945 and 1948, when the city endured a thorough redefinition of its toponymy under the political regime of communist “popular democracy” in Romania. The paper quantifies the scope of toponymic revision and then evaluates the content of these street name changes in terms of three major concepts: class, ethnicity, and gender. Grounded on the results of this analysis, the paper advances the notion of “mercurial street names”. It concludes by arguing that such a concept should complement the existing metaphoricity underpinning the scholarship in place-name studies, which draw on “text”, “discourse”, and “palimpsest” to conceive of the processes of street (re)naming. [ABSTRACT FROM AUTHOR]

e-commerce has promoted the application of the Internet by traditional enterprises. While this phenomenon has deepened industrial embeddedness, it has also profoundly affected the development of traditional manufacturing and retail industries. Based on the embeddedness theory, this paper takes the e-commerce industrial chain in Xiong'an New Area of China as an example, uses location entropy method and local spatial autocorrelation to analyze its spatial characteristics and influencing factors, and also discusses the features of embeddedness from each dimension of industrial chains. The results show the following: ① The supply chain of industry-dependent e-commerce is dominated by production wholesalers, and suppliers with cost advantages and commercial traditions are embedded in local characteristic industries; the e-commerce value chain is dominated by production and processing activities, and the spatial orientation of the business model is affected by regional industrial functions; the e-commerce enterprise chain is dominated by B2B enterprises, the high-level agglomeration of which reflects the absolute scale advantage provided by the e-commercialization of traditional industry. ② The distribution of the e-commerce industrial chains of Xiong'an New Area is characterized by spatial heterogeneity and has obvious spatial agglomeration. The industrial chains are concentrated in Xiong County, followed by Rongcheng County, and Anxin County has the weakest agglomeration. ③ The main factors that cause the uneven distribution of the e-commerce industrial chains in Xiong'an New Area include three aspects: transportation location advantages, traditional industrial foundation, and government policy regulation. Research can provide a scientific reference for accurately identifying the spatial development characteristics of the industrial chains from various perspectives and promoting the sustainable development and e-commercialization of traditional industries. [ABSTRACT FROM AUTHOR]

Argentine tango is considered a social leisure dance, but its evolution over the past two decades has brought it to elite level due to shows on several stages as well as national and international dance competitions divided into several categories. The current research was performed on a group of experienced tango dancers aged up to 35 years. The aim of the paper was to improve and increase the level of performance, proposing a new training method. The new method involves introducing and using the turning board training device in classical training. Initially, the turning board was invented for and used by ballet dancers, ice-skaters and gymnasts, but it was adapted for the first time in this research for Argentine tango through specific individual and couple exercises with the main goal of improving balance and pivots during the execution of this fundamental dance element that is present in almost every circular movement and change of direction. The research methodology used the well-established Y-Balance Test and Flamingo Balance Test as well as an invented rotation test on the turning board. The results of this method demonstrated a significant increase in coordination, balance, posture, spatial orientation and all turning movements involving pivots on the metatarsals around the vertical axis of tango dancers, who have improved both their individual and couple techniques. Following the results achieved, this paper can be considered a pilot study for future scientific research on Argentine tango as an art and elite sport. [ABSTRACT FROM AUTHOR]

Pavement temperature field affects pavement service life and the thermal environment the near road surface; thus, is important for sustainable pavement design. This paper developed a combined prediction method for the thermal conductivity of asphalt concrete based on meso-structure and renormalization technology, which is critical for determining the pavement temperature field. The accuracy of the combined prediction method was verified by laboratory experiments. Using the tested and proven model, the effect of coarse aggregate type, shape, content, spatial orientation, air void of asphalt concrete, and steel fiber on the effective thermal conductivity was analyzed. The analysis results show that the orientation angle and aspect ratio of the aggregate have a combined effect on thermal conductivity. In general, when the aggregate orientation is parallel with the heat conduction direction, the effective thermal conductivity of asphalt concrete in that direction tends to be greater. The effective thermal conductivity of asphalt concrete decreases with the decrease of coarse aggregate content or steel fiber content or with the increase of porosity, and it increases with the increase of the effective thermal conductivity of coarse aggregate. [ABSTRACT FROM AUTHOR]

This paper presents the light-scattering matrices of atmospheric-aggregated hexagonal ice particles that appear in cirrus clouds. The aggregates consist of the same particles with different spatial orientations and numbers of these particles. Two types of particle shapes were studied: (1) hexagonal columns; (2) hexagonal plates. For both shapes, we studied compact and non-compact cases of particle arrangement in aggregates. As a result, four sets of aggregates were made: (1) compact columns; (2) non-compact columns; (3) compact plates; and (4) non-compact plates. Each set consists of eight aggregates with a different number of particles from two to nine. For practical reasons, the bullet-rosette and the aggregate of hexagonal columns with different sizes were also calculated. The light scattering matrices were calculated for the case of arbitrary spatial orientation within the geometrical optics approximation for sets of compact and non-compact aggregates and within the physical optics approximation for two additional aggregates. It was found that the light-scattering matrix elements for aggregates depend on the arrangement of particles they consist of. [ABSTRACT FROM AUTHOR]

Three-dimensional models represent the shape and appearance of real-world objects in a virtual manner, enabling users to obtain a comprehensive and accurate understanding by observing their appearance from multiple perspectives. The semantic retrieval of 3D models is closer to human understanding, but semantic annotation for describing 3D models is difficult to automate, and it is still difficult to construct an easy-to-use 3D model knowledge base. This paper proposes a method for building a 3D model knowledge base to enhance the ability to intelligently manage and reuse 3D models. The sources of 3D model knowledge are obtained from two aspects: on the one hand, constructing mapping rules between the 3D model features and semantics, and on the other hand, extraction from a common sense database. Firstly, the viewpoint orientation is established, the semantic transformation rules of different feature values are established, and the representation degree of different features is divided to describe the degree of the contour approximating the regular shape under different perspectives through classification. An automatic output model semantic description of the contour is combined with spatial orientation. Then, a 3D model visual knowledge ontology is designed from top to bottom based on the upper ontology of the machine-readable comprehensive knowledge base and the relational structure of the ConceptNet ontology. Finally, using a weighted directed graph representation method with a sparse-matrix-integrated semantic dictionary as a carrier, an entity dictionary and a relational dictionary are established, covering attribute names and attribute value data. The sparse matrix is used to record the index information of knowledge triplets to form a three-dimensional model knowledge base. The feasibility of this method is demonstrated by semantic retrieval and reasoning on the label meshes dataset and the cultural relics dataset. [ABSTRACT FROM AUTHOR]

The solar collector is used to convert solar energy into thermal energy. First, the internal energy of the absorber increases, which is reflected in the increase in its temperature. This energy is transferred to the working fluid in direct contact with the absorber. Depending on the type of fluid, liquid or air solar collectors are distinguished. When the flow of the working medium takes place naturally, without the support of pumps or fans, the solar collector is treated as a passive device. The gravitational movement of air in the inner space of an air solar collector depends on its construction and its spatial orientation in relation to both the source of radiation and the direction of the force of gravity. This paper describes the results of laboratory experimental tests of a prototype passive air solar collector, including: the influence of radiation intensity and the deflection of the solar collector from the vertical on the increase in the temperature of the air flowing through the collector, the mass flow rate of the air and the efficiency of the device. The tests were carried out using an air solar collector with the dimensions 2080 × 1040 × 180 (height × width × thickness) and radiation intensity in the range of I = 0 ÷ 550 W/m2. It was found that the vertical arrangement of the collector does not ensure maximum efficiency of the device. [ABSTRACT FROM AUTHOR]

A deficit framing continues to surround the perceived capabilities of people with dementia to comprehend and engage with cartographic maps. While some people with dementia might experience issues with wayfinding and spatial orientation, this has frequently been unfairly extended to all people living with dementia. From the perspective of qualitative research, the potentials for how mapping might contribute methodologically to understanding how some people with dementia negotiate and experience place has yet to be fully realised. A nascent turn towards geographic concepts of space and place has seen social health and dementia researchers acknowledging the vitality of place and neighbourhoods for understanding how everyday life unfolds relationally for people with dementia. However, creative methods to capture these spatial experiences are needed. This paper describes the nature of the scaffolds that supported involvement of people with dementia into a qualitative GIS project. These scaffolds were essential for supporting participants to trace out their narratives, histories, connections and barriers to engagement in their familiar neighbourhoods. We demonstrate via an Australian example how scaffolded sketch mapping interviews and crowdsourced maps offer tangible and evocative means to pin their lived experiences to the map. For place-based dementia research, qualitative GIS offers two paths forward. First, with the relevant scaffolds in place, the imaginative power of the map can engage people with dementia in qualitative research about the places they know and frequent. Second, spatial visualisations are imbued with political agency, acting as a conduit toward meaningful change in their local communities. [ABSTRACT FROM AUTHOR]

Compared with general object detection with horizontal bounding boxes in natural images, oriented object detection in remote sensing images is an active and challenging research topic as objects are usually displayed in arbitrary orientations. To model the variant orientations of oriented objects, general CNN-based methods usually adopt more parameters or well-designed modules, which are often complex and inefficient. To address this issue, the detector requires two key components to deal with: (i) generating oriented proposals in a light-weight network to achieve effective representation of arbitrarily oriented objects; (ii) extracting the rotation-invariant feature map in both spatial and orientation dimensions. In this paper, we propose a novel, lightweight rotated region proposal network to produce arbitrary-oriented proposals by sliding two vertexes only on adjacent sides and adopt a simple yet effective representation to describe oriented objects. This may decrease the complexity of modeling orientation information. Meanwhile, we adopt the rotation-equivariant backbone to generate the feature map with explicit orientation channel information and utilize the spatial and orientation modules to obtain completely rotation-invariant features in both dimensions. Without tricks, extensive experiments performed on three challenging datasets DOTA-v1.0, DOTA-v1.5 and HRSC2016 demonstrate that our proposed method can reach state-of-the-art accuracy while reducing the model size by 40% in comparison with the previous best method. [ABSTRACT FROM AUTHOR]

Disorientation is a common feeling for all users of zoomable multi-scale maps, even for those with good orientation and spatial skills. We make the assumption that this problem is mainly due to the desert fog effect, documented in human–computer interaction within multi-scale zoomable environments. Starting with a collection of reported experiences of disorientation, this paper explores this notion from the spatial cognition, philosophical and human–computer interaction perspectives and proposes a model of disorientation in the exploration of multi-scale maps. We argue that disorientation is a problem of reconciliation between the current map view and the mental map of the user, where landmarks visible on the map or memorised in the mental map play a key role. The causes for failed reconciliation are discussed and illustrated by our collected experiences of disorientation. [ABSTRACT FROM AUTHOR]

The aim of this study is to map the specific orientation of space in Jan Zahradníček’s extensive poem The Sign of Power. His unique conceptualization of ‘up’ and ‘down’ in this work plays a significant role in the construction of setting. In this paper, we draw on George Lakoff and Mark Johnson’s Metaphors We Live By, in particular their insights and observations on metaphors involving spatial orientation and the notion that ‘more is up; less is down’ — a postulate that can be extended to various other good-bad (including ethical and religious) distinctions. Along these lines, we further draw on their concept of in/coherence of metaphor and different cultural spaces. The central question of the study concerns the coherence (or incoherence) of spatial designations with the values of good and bad. Our analysis then traces the tension between conventional spatial connotations and the unsettling instability, with regard to both space and values, of the world modelled in Zahradníček’s poem. [ABSTRACT FROM AUTHOR]

The main goal of this research is to show that even a small deviation from the prescribed casting method EN 14651 causes a difference in fiber orientation distribution in sample beams. A further goal is to investigate the difference in the fiber orientation between bottom and side layers, which would carry the tensile load in the in-situ situation (bottom layer) compared to testing according to EN 14651 (side layer). Nowadays, the development of the proper numerical simulations that aim to visualize the casting process of the fresh concrete flow is a promising challenge in the construction industry. To be able to predict the orientation and spatial distribution of the short fibers using numerical tools may significantly simplify the investigations of the fibered composite materials. This paper compares simulations of different casting methods of the fiber concrete mixture with various flowabilities. The casting of the testing specimen was simulated in different ways: the filling of the formwork according to EN 14651, from the center only and from one edge of the formwork using computational fluid dynamics. The influence of different casting methods in combination with four specific sets of the rheological parameters on the final fiber orientation distribution is discussed. The presented outcomes of the simulations demonstrate that even a minor change in the casting procedure can significantly alter the final characteristics of the material. [ABSTRACT FROM AUTHOR]

The geostructural characterization of rock clusters, located in poorly accessible areas of nature reserves, represents a challenge for the specialized technicians who carry out field rock mass measurements. This paper aims to highlight the advantages in adopting a quick approach that introduces the photogrammetric technique to overcome the limitations of conventional field measurements. In this study, the aerial photogrammetry, combined with the powerful algorithms of the Structure from Motion technique, allowed generating a detailed rock mass model of a sub-vertical cliff affected by instability features threatening the safe fruition of a nature reserve. Quantitative and qualitative data on the spatial orientation of discontinuities and on location of major structural elements were achieved. The digitally derived spatial data were used to perform a kinematic analysis of the rock mass, highlighting the most recurrent unstable failure patterns, for which the stability and the probability of failure were numerically calculated in both static and dynamic conditions. [ABSTRACT FROM AUTHOR]