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Highly stretchable and robust strain sensors are rapidly emerging as promising candidates for a diverse of wearable electronics. The main challenge for the practical application of wearable electronics is the energy consumption and device aging. Energy consumption mainly depends on the conductivity of the sensor, and it is a key factor in determining device aging. Here, we design a liquid metal (LM)‐embedded hydrogel as a sensing material to overcome the barrier of energy consumption and device aging of wearable electronics. The sensing material simultaneously exhibits high conductivity (up to 22 S m−1), low elastic modulus (23 kPa), and ultrahigh stretchability (1500%) with excellent robustness (consistent performance against 12 000 mechanical cycling). A motion monitoring system is composed of intrinsically soft LM‐embedded hydrogel as sensing material, a microcontroller, signal‐processing circuits, Bluetooth transceiver, and self‐organizing map developed software for the visualization of multi‐dimensional data. This system integrating multiple functions including signal conditioning, processing, and wireless transmission achieves monitor hand gesture as well as sign‐to‐verbal translation. This approach provides an ideal strategy for deaf‐mute communicating with normal people and broadens the application of wearable electronics. [ABSTRACT FROM AUTHOR]

Archaeological investigation of the dentoalveolar complex in situ within a human skull requires detailed measurements using non‐invasive techniques. Standard macroscopic and radiographic methods have limitations but large volume micro‐computed tomography (LV micro‐CT) scanning has the potential to acquire data at high resolution in microns. In this study, archaeological specimens are analyzed using three‐dimensional data visualization software from LV micro‐CT scans with the aims of (1) determining whether LV micro‐CT can act as a single technique to provide detailed analysis of the dentoalveolar complex and (2) how findings from the LV micro‐CT technique compare with standard methods. These aims are explored by measuring a range of human skull specimens from a rare archaeological sample requiring non‐invasive methods, for multiple dental and alveolar bone health categories. The LV micro‐CT technique was the only method to provide a full range of detailed measurements across all categories studied. A combination of macroscopic and radiographic techniques covered a number of categories, but the use of multiple methods was more time consuming, did not provide the same level of accuracy, and did not include all measurements. There were high levels of reproducibility for intra‐operator scoring and good inter‐operator agreement from four operators with one operator whose results were outliers. As a further investigation of the potential of the LV micro‐CT technique, an additional individual, a fragile, fragmented skull of an infant was studied. This investigation confirms the value of LV micro‐CT scanning as a non‐invasive, accurate, single technique for the extensive analysis of the dentoalveolar complex within archaeological skulls, which also allows the relationship of different tissues to be studied in situ. [ABSTRACT FROM AUTHOR]

This article discusses laparoscopic ventral mesh rectopexy (LVMR) as a treatment for recurrent full-thickness rectal prolapse after a failed Altemeier operation. LVMR has become the gold standard procedure for rectal prolapse and has shown favorable outcomes in treating various defecation problems. The article presents a case study of a 56-year-old female patient who underwent LVMR after experiencing faecal incontinence caused by rectal prolapse. The procedure was successful, and the patient reported normal stool passage with no rectal prolapse after four weeks. The authors note that determining the selection criteria for conservative or surgical treatment remains a clinical challenge. [Extracted from the article]

This article discusses the use of neoadjuvant immunotherapy as a treatment option for locally advanced microsatellite instability high/deficient mismatch repair transverse colon cancer. The authors present a case study of a 33-year-old woman who underwent laparoscopic complete mesocolic excision after receiving neoadjuvant immunotherapy. The surgery was successful, with a short operating time and minimal blood loss. The authors declare no conflicts of interest and state that the data supporting their findings are available upon request. [Extracted from the article]

The article discusses the implementation of the Spartan Experience Record (SER) at Michigan State University (MSU), which provides undergraduate students with a formal record of their co-curricular learning accomplishments. The SER aims to create a comprehensive dataset on what students learn in these co-curricular opportunities. To make the data more accessible, data visualization dashboards were created. The article offers key considerations for building data visualizations that support student learning outcomes and assessment goals. The challenges of customization in creating the dashboards are also discussed. Overall, the SER and data visualizations contribute to tracking and understanding the impact of co-curricular engagement on student success. [Extracted from the article]

The Grand Challenges in Assessment in Higher Education project seeks to address three significant ongoing challenges faced by assessment professionals (Singer-Freeman and Robinson 2020a; 2020b). Data storytelling shares data with stakeholders through a narrative format that answers the "who, what, where, why, and how" encapsulated in the data. The culture of assessment then became an opportunity to use data for with can experience a transformational moment when assessment data is understood as data I about i student learning that can lead to discovering I how i students learn. [Extracted from the article]

PATIENT CONSENT STATEMENT Informed consent for publication of surgical videos with no patient identifiers has been obtained from the patient. As such, some authors have described a robotic-laparoscopic hybrid approach [[3]], dual-docking with arm repositioning and retargeting to achieve both splenic flexure mobilization and pelvic dissection in an ultralow anterior resection [[4]]. Robotic assisted colorectal surgery (RACS) has introduced numerous benefits. [Extracted from the article]

In this setting, the European and American Hernia Society guidelines state that prophylactic mesh augmentation after elective midline laparotomy can be considered to reduce the risk of incisional hernia [[3]]. I Dear Sir, i Prevention of incisional hernia using onlay prophylactic mesh-augmented reinforcement of midline laparotomy has gained popularity in colorectal surgery [[1]]. Prevention of incisional hernia after midline laparotomy and ileostomy reversal - a video vignette. [Extracted from the article]

Abstract: 3D representations are potentially useful under many circumstances, but suffer from long known perception and interaction challenges. Current immersive technologies, which combine stereoscopic displays and natural interaction, are being progressively seen as an opportunity to tackle this issue, but new guidelines and studies are still needed, especially regarding information visualization. Many proposed approaches are impractical for actual usage, resulting in user discomfort or requiring too much time or space. In this work, we implement and evaluate an alternative data exploration metaphor where the user remains seated and viewpoint change is only realisable through physical movements. All manipulation is done directly by natural mid‐air gestures, with the data being rendered at arm's reach. The virtual reproduction of the analyst's desk aims to increase immersion and enable tangible interaction with controls and two dimensional associated information. A comparative user study was carried out against a desktop‐based equivalent, exploring a set of 9 perception and interaction tasks based on previous literature and a multidimensional projection use case. We demonstrate that our prototype setup, named VirtualDesk, presents excellent results regarding user comfort and immersion, and performs equally or better in all analytical tasks, while adding minimal or no time overhead and amplifying user subjective perceptions of efficiency and engagement. Results are also contrasted to a previous experiment employing artificial flying navigation, with significant observed improvements. [ABSTRACT FROM AUTHOR]

Data visualization has a critical role in the advancement of modern data analytics. Visualization lends assurances to data validity and completeness, as well as to the effectiveness of cleaning and aggregation tactics. It provides the means by which to explore and discover relationships otherwise hidden from default assumptions in statistical modeling. Strong visualization is also fundamental to end-result conveyance and audience interpretation. But how can one ensure that strength? How can one avoid developing representations that are marginal in value, or worse misleading? In this paper, I will discuss theory, evidence, and practical approaches to managing data visualization development, viewing data visualization not simply as an outcome but as a continuous process and facet of organizational culture. [ABSTRACT FROM AUTHOR]

Traditional methods of teaching music are largely subjective, with the lack of objectivity being particularly challenging for violin students learning vibrato because of the existence of conflicting theories. By using a computer-based analysis method, this study found that maintaining temporal coincidence between the intensity peak and the target frequency is the crucial factor for achieving good intonation when performing vibrato. This finding prompted the development of a computer-based visualised quantitative vibrato analysis system ( VQVA- Sys) that displays these two parameters in a user-friendly manner for both musicians and scientists: (1) the type of frequency variation and (2) the corresponding frequencies with the highest intensities during all of the cycles constituting a vibrato note. A follow-up preliminary experimental investigation compared a moderately expressive vibrato note played by eight experts and eight students, and demonstrated the feasibility and potential usefulness of the VQVA- Sys as a learning tool. [ABSTRACT FROM AUTHOR]

Purpose Despite most modern colour spaces treating colour as three-dimensional (3-D), colour data is usually not visualised in 3-D (and two-dimensional (2-D) projection-plane segments and multiple 2-D perspective views are used instead). The objectives of this article are firstly, to introduce a truly 3-D percept of colour space using stereo-pairs, secondly to view colour discrimination data using that platform, and thirdly to apply formal statistics and multivariate methods to analyse the data in 3-D. This is the first demonstration of the software that generated stereo-pairs of RGB colour space, as well as of a new computerised procedure that investigated colour discrimination by measuring colour just noticeable differences ( JND). Methods An initial pilot study and thorough investigation of instrument repeatability were performed. Thereafter, to demonstrate the capabilities of the software, five colour-normal and one colour-deficient subject were examined using the JND procedure and multivariate methods of data analysis. Results Scatter plots of responses were meaningfully examined in 3-D and were useful in evaluating multivariate normality as well as identifying outliers. The extent and direction of the difference between each JND response and the stimulus colour point was calculated and appreciated in 3-D. Ellipsoidal surfaces of constant probability density (distribution ellipsoids) were fitted to response data; the volumes of these ellipsoids appeared useful in differentiating the colour-deficient subject from the colour-normals. Hypothesis tests of variances and covariances showed many statistically significant differences between the results of the colour-deficient subject and those of the colour-normals, while far fewer differences were found when comparing within colour-normals. Conclusions The 3-D visualisation of colour data using stereo-pairs, as well as the statistics and multivariate methods of analysis employed, were found to be unique and useful tools in the representation and study of colour. Many additional studies using these methods along with the JND and other procedures have been identified and will be reported in future publications. [ABSTRACT FROM AUTHOR]

Introduction: OpenSpace [1] is an open-source interactive data visualization software designed to visualize the known universe and humanity's ongoing efforts to investigate the cosmos. OpenSpace supports dynamic presentation of data from observations and simulations, as well as space mission planning and operations, and allows visualization at the outcrop level on extraterrestrial bodies [2]. This software has continued to be developed as a collaboration between software engineers and graduate students at the American Museum of Natural History (AMNH), Linköping University (Sweden), New York University (NYU) Tandon School of Engineering, and the University of Utah Scientific Computing and Imaging Institute. OpenSpace can be used on a variety of platforms and operating systems, from laptops to planetarium domes. During the coronavirus Covid-19 pandemic, broad virtual use of OpenSpace revealed the software's power to engage public, professional, and academic audiences through livestreamed and recorded videos by Informal Science Institution (ISI) professionals, astronomy groups, science communicators, educators, and researchers. As we return to onsite environments OpenSpace remains a robust, dynamic tool for presenting a broad range of immersive experiences. Invitation: OpenSpace team members (* in author list) are attending MetSoc 2022 in Glasgow. We are interested in presenting a demonstration of OpenSpace within or adjacent to the conference and we invite everyone to: 1) Ask us how you can use OpenSpace for communicating your science, 2) Access our tutorials, resources, and community forums to get started using OpenSpace, and 3) Share your feedback and ideas for the project. Given the open-source nature of the project, anyone can develop modules for OpenSpace that visualize data, and everyone can use the software [1] freely for public programming and teaching. Public Outreach: From March 2021 - March 2022 OpenSpace was used to present 130 virtual/livestream programs with 11,964 live views and 21 in-person programs with 47,859 live views. In addition to experts from Open-Space university and ISI Partners [3] and other users, livestreams featured professionals from NASA Centers and scientific institutions. Recordings of many programs can be found on the OpenSpace website [1] and YouTube channel [4]. The stunning visuals and richness and depth of the rendered data sets within OpenSpace allow for continuous flythrough-the-Universe and planetary globe-browsing experiences, further enabling its use in a range of other outlets, such as exhibits and visual storytelling spaces from museums to classrooms to the bed of an EV pickup truck. Education: OpenSpace has been used in undergraduate and graduate courses in astronomy and astrobiology and has supported 175 internships to date. In the last year, the software was utilized in virtual internships hosted by Adler Planetarium, AMNH, Houston Museum of Natural Science, Linköping University, NASA Coordinated Community Modeling Center, NYU, North Carolina Museum of Natural Sciences, and the University of Utah. What's new: In 2021-22, significant software updates were published, most recently Beta-11 (v 0.18.0). These updates not only improved performance and stability, but also made adoption easier for new users with the addition of extensive new documentation. OpenSpace has recently been refined to be more useful for researchers by seamlessly streaming data from software packages popular among astronomers with the open Python library called Glue [5]. Jupyter notebooks also enable loading planetary science archives from NASA TREKs and USGS. OpenSpace has also embedded the World-Wide Telescope software managed by the American Astronomical Society [6]. These innovations allow visualization of multiple linked datasets like ESA's Gaia data and NOAA's Science-on-a-Sphere [7]. There are currently ~20 interactive scenes available in OpenSpace and all of these are available in the latest release on the OpenSpace installation page [1]. Dynamic renderings of coronal mass ejections (CMEs) have been added most recently. Datasets enabling high-resolution Mars, Moon and Mercury globe-browsing are freely available. [ABSTRACT FROM AUTHOR]

While isosurfaces have been widely used for scalar data visualization, it is often difficult to determine if the selected isosurfaces for visualization are sufficient to represent the entire scalar field. In this paper, we present an information-theoretic approach to evaluate the representativeness of a given isosurface set. Our basic idea is that given two isosurfaces that enclose a subvolume, if the intermediate isosurfaces in the subvolume can be generated by smoothly morphing from one isosurface to the other, no additional isosurfaces are needed since the geometry of the true isosurfaces within the subvolume can be easily inferred. To realize this idea, given a pair of isosurfaces, to determine if such a smooth condition in the enclosed region is satisfied, we use a level-set approach to generate the intermediate surfaces. On each intermediate surface, we sample the values from the scalar field and exam the distribution. If the entropy of the distribution is low, this intermediate surface is aligned well with a true isosurface in the scalar field. For the intermediate surfaces generated by the level-set method from the boundary isosurfaces, the distributions of scalar values from the level-set surfaces form a 2D distribution, called isosurface information map. This information map can be used as an indicator of the representativeness of the boundary isosurfaces for the data in the subregion, allowing a quantitative measurement of information representable by the input isosurfaces. Based on this information-theoretic approach, this paper presents an isosurface selection algorithm that can automatically select isosurfaces for more effective visualization of scalar fields. [ABSTRACT FROM AUTHOR]