Navigation Tools Research Articles

Soviet View of the World. Exploring Long-Term Visual Patterns in “Novosti dnia” Newsreel Journal (1945-1992)

Newsreels, short documentary news films, were an influential channel of mass communication and propaganda in the Soviet Union. They served as an important means of visualizing the world for audiences in the way the Soviet authorities wanted it to be depicted. Studies in Soviet visual culture have recognized both continuities of repeating patterns and changes in the post-World War II period. This understanding is based primarily on temporally limited source selections, while a more systematic study of the developments in Soviet visual culture over a longer period is pending. In this article, we reveal long-term continuities, subtle changes, and sudden shifts in the official visual discourse in the Soviet newsreel series ‘Novosti dnia’ (News of the Day) 1945 to 1992. We study visual patterns in approximately 1,700 digitized newsreel issues, each about ten minutes long, using multidimensional vector embeddings. These embeddings, produced from the central frames of 205,678 shots, help visually evaluate the footage and assess visual similarities based on ResNet50 feature vectors. For this, we use the Collection Space Navigator tool. The article demonstrates how multidimensional vector embeddings can be used to study the internal time of the films, and the external time of the years running by.

Unsupervised Machine Learning‐Derived Anion‐Exchange Membrane Polymers Map: A Guideline for Polymers Exploration and Design

AbstractAlthough anion‐exchange membranes (AEMs) are commonly used in fuel cells and water electrolyzers, their widespread commercialization is hindered by problems such as low anion conductivity and durability. Moreover, the development of high‐performance AEMs remains complex and time consuming. Here, we address these challenges by proposing an innovative approach for the efficient design and screening of AEM polymers using unsupervised machine learning. Our model, which combines principal component analysis with uniform manifold approximation and projection, generates an intuitive map that clusters AEM polymers based on structural similarities without any predefined knowledge regarding anion conductivity or other experimentally derived variables. As a powerful navigation tool, this map provides insights into promising main‐chain structures, such as poly(arylene alkylene)s with consistently high conductivity and polyolefins with exceptional performance depending on the substituent. Furthermore, assisted by key molecular descriptors, inverse analysis with this model allows targeted design and property prediction before synthesis, which will significantly accelerate the discovery of novel AEM polymers. This work represents a paradigm shift not only in AEM research but also generally in materials research, moving from black‐box predictions toward interpretable guidelines that foster collaboration between researchers and machine learning for efficient and informed material development.

Model-based navigation of transcranial focused ultrasound neuromodulation in humans: Application to targeting the amygdala and thalamus

BackgroundTranscranial focused ultrasound (tFUS) neuromodulation has shown promise in animals but is challenging to translate to humans because of the thicker skull that heavily scatters ultrasound waves. ObjectiveWe develop and disseminate a model-based navigation (MBN) tool for acoustic dose delivery in the presence of skull aberrations that is easy to use by non-specialists. MethodsWe pre-compute acoustic beams for thousands of virtual transducer locations on the scalp of the subject under study. We use the hybrid angular spectrum solver mSOUND, which runs in ∼4 s per solve per CPU yielding pre-computation times under 1 h for scalp meshes with up to 4000 faces and a parallelization factor of 5. We combine this pre-computed set of beam solutions with optical tracking, thus allowing real-time display of the tFUS beam as the operator freely navigates the transducer around the subject’ scalp. We assess the impact of MBN versus line-of-sight targeting (LOST) positioning in simulations of 13 subjects. ResultsOur navigation tool has a display refresh rate of ∼10 Hz. In our simulations, MBN increased the acoustic dose in the thalamus and amygdala by 8–67 % compared to LOST and avoided complete target misses that affected 10–20 % of LOST cases. MBN also yielded a lower variability of the deposited dose across subjects than LOST. ConclusionsMBN may yield greater and more consistent (less variable) ultrasound dose deposition than transducer placement with line-of-sight targeting, and thus could become a helpful tool to improve the efficacy of tFUS neuromodulation.

ИСПОЛЬЗОВАНИЕ AR-НАВИГАЦИИ ПРИ ПОСТАНОВКЕ ВЕНТРИКУЛЯРНЫХ ДРЕНАЖЕЙ НА КАДАВЕРНОМ МАТЕРИАЛЕ

Augmented reality (AR) technologies are being actively introduced into medicine. AR can be used as a navigation tool in neurosurgery. The purpose of our study is to evaluate the accuracy of placement of external ventricular drainage, the size of the incision and the duration of this manipulation in an animal model using AR navigation and without its use. A CT scan of an animal model (ram's head) was performed, the results were segmented and loaded into AR-glasses. Participants in the experiment are divided into 2 groups of 5 people each. In the main group, ventricular drainage was placed using AR navigation, in the control group without its use. The average incision size in the non-AR group was 29.58 ± 1.566 mm. In the AR group 29.42 ± 1.279 mm. The differences in the two groups are statistically insignificant (p=0.797). In the AR group, the mean operative time was 10.26 ± 1.121 min. In the group without AR use 13.64 ± 1.588 min. The differences between the groups are statistically significant (p<0.05). In the AR group, drainage was inserted into the ventricle in 47 of 50 cases (94%). In the group without the use of AR in 40 cases out of 50 (80%). These differences are statistically significant (p=0.037). AR navigation does not affect the size of the incision, but increases the accuracy of drainage placement and reduces the duration of the procedure. This shows the possibility of using this technology in clinical practice, however, additional research on the use of AR in phantom models is required.

Through the Looking Screen: Exploring Familiar Places Through Google Maps Street View

The widespread of digitalization and its consequent adoption of digital navigation tools has led to an increased digitally mediated wayfinding of unknown and known places. In this study, the focus was placed on the latter, namely the exploration of familiar places through Google Maps. This study aimed to understand how familiar places are digitally revisited through the use of the popular Google Maps Street View. By employing digital go-along interviews, participants were invited to choose a known place which they have not physically visited in a significant amount of time and guide a digital walk. By adopting an agential realist theoretical perspective, Google Maps Street View is articulated as a more-than-digital tool. The main emerging themes consisted of the experienced disruptive elements leading to workarounds, the existent spatiotemporal shifts, and the visibility of present and absent matter emerging from the intra-actions of human and non-human actors. The work illustrates how digital places are understood and engaged with, and how meaning is ascribed to such digital worlds which come into being through an entanglement of memories, physicality, and digital elements. The paper contributes to an understanding of digital place, being of relevance to future directions in the development of similar navigational technologies, and to policy and legislation being formulated in this area.

Osteochondroma at the Ventro-Medial Surface of the Scapula Causing Pseudo Winging Scapular Resection with Computer-Assisted Navigation: A Case Report and Literature Review

Purpose: Osteochondromas, the most common benign bone tumors, primarily occur in the long bones, with scapular osteochondromas constituting less than 1% of cases. A unique challenge in ventral scapular osteochondromas is limited visibility from the dorsal side. Computer-assisted surgery, which is widely employed in tumor surgery is a promising solution for minimally invasive resection with reduced muscle injury. Methods: We present the case of a thirteen-year-old female with a ventral scapular osteochondroma that cause winging and snaping of her left arm. The patient underwent computer-assisted surgery under general anesthesia in the prone position. The procedure involved a minimal incision over the crest of the scapular spine, enabling precise identification of the tumor from the dorsal side using navigation tools. Results: The tumor, identified as an osteochondroma on CT scans, was successfully resected with minimal soft tissue damage. Postoperatively, the patient's arm was immobilized for two weeks, followed by a pain-free return to normal activity. Radiographic evaluation confirmed complete tumor removal. Conclusions: Computer-assisted navigation can help locate the ventral osteochondroma of the scapula with minimal soft tissue damage and a quicker recovery time.

Optimizing Contrast in Automated 4D STEM Cryotomography.

4D STEM is an emerging approach to electron microscopy. While it was developed principally for high-resolution studies in materials science, the possibility to collect the entire transmitted flux makes it attractive for cryomicroscopy in application to life science and radiation-sensitive materials where dose efficiency is of utmost importance. We present a workflow to acquire tomographic tilt series of 4D STEM data sets using a segmented diode and an ultrafast pixelated detector, demonstrating the methods using a specimen of a T4 bacteriophage. Full integration with the SerialEM platform conveniently provides all the tools for grid navigation and automation of the data collection. Scripts are provided to convert the raw data to mrc format files and further to generate a variety of modes representing both scattering and phase contrasts, including incoherent and annular bright field, integrated center of mass, and parallax decomposition of a simulated integrated differential phase contrast. Principal component analysis of virtual annular detectors proves particularly useful, and axial contrast is improved by 3D deconvolution with an optimized point spread function. Contrast optimization enables visualization of irregular features such as DNA strands and thin filaments of the phage tails, which would be lost upon averaging or imposition of an inappropriate symmetry.

Application of indocyanine green fluorescence imaging in hepatobiliary surgery.

Indocyanine green (ICG) is a fluorescent dye with an emission wavelength of about 840nm, which is selectively absorbed by the liver after intravenous or bile duct injection, and then it is excreted into the intestines through the biliary system. With the rapid development of fluorescence laparoscopy, ICG fluorescence imaging is safe, feasible, and widely used in hepatobiliary surgery. ICG fluorescence imaging is of great significance in precise preoperative and intraoperative localization of liver lesions, real-time visualization of hepatic segmental anatomy, intrahepatic and extrahepatic biliary tract visualization, and liver transplantation. ICG fluorescence imaging facilitates efficient intraoperative hepatobiliary decision-making and improves the safety of minimally invasive hepatobiliary surgery. Advances in imaging systems will increase the use of fluorescence imaging as an intraoperative navigation tool, improving the safety and accuracy of open and laparoscopic/robotic hepatobiliary surgery. Herin, we have reviewed the status of ICG applications in hepatobiliary surgery, aiming to provide new insights for the development of hepatobiliary surgery.

MAINTENANCE ACTION ON COURSE POWER AMPLIFIER TRANSMITTER GLIDESLOPE SELEX 2110

The Instrument Landing System (ILS) equipment is one of the aviation navigation tools that provides aircraft with a 3° landing angle. The problem identified that the glideslope signal was out of tolerance. Pilots using the glideslope facility reported this out-of-tolerance signal. This study aimed to identify issues in signal transmission systems and give a solution. The research method was a descriptive analysis to determine the cause of the out-of-tolerance glideslope signal. The result found that the issue was that one of the power amplifiers of the glideslope transmitter was unable to process signals properly, resulting in suboptimal signal transmission power. The power amplifier was replaced to address this issue. This replacement was followed by adjusting the transmission parameters of the glideslope equipment. With the replacement of the power amplifier and the adjustments made to the transmission parameters, the glideslope signal returned to normal, as confirmed by the reports from pilots using the glideslope facility.

Reframing “Literature as Equipment for Living:” Kenneth Burke's Theory and the Social Function of Literature

This article delves into Kenneth Burke's seminal essay, "Literature as Equipment for Living," presenting a fresh perspective on literary criticism that underscores the pragmatic, societal, and political roles of literature. Burke posits that literature functions as an active agent, offering viable courses of action in response to worldly matters. Departing from traditional analyses of form and structure, Burke advocates for classifying works based on shared strategies for addressing situations. He contends that literature acts as a navigational tool, aiding in comprehension and interpretation of the world while urging readers to engage with texts for insights and inspiration in confronting life's challenges. Burke's viewpoint underscores the subjective nature of language, reflecting our individual experiences and perspectives on the world. His critical methodology advocates for a comprehensive and nuanced approach to literary critique, expanding the horizons of scholarly considerations.

A back propagation neural network based respiratory motion modelling method.

This study presents the development of a backpropagation neural network-based respiratory motion modelling method (BP-RMM) for precisely tracking arbitrary points within lung tissue throughout free respiration, encompassing deep inspiration and expiration phases. Internal and external respiratory data from four-dimensional computed tomography (4DCT) are processed using various artificial intelligence algorithms. Data augmentation through polynomial interpolation is employed to enhance dataset robustness. A BP neural network is then constructed to comprehensively track lung tissue movement. The BP-RMM demonstrates promising accuracy. In cases from the public 4DCT dataset, the average target registration error (TRE) between authentic deep respiration phases and those forecasted by BP-RMM for 75 marked points is 1.819mm. Notably, TRE for normal respiration phases is significantly lower, with a minimum error of 0.511mm. The proposed method is validated for its high accuracy and robustness, establishing it as a promising tool for surgical navigation within the lung.

Development of the Wind Direction Indicator Display as a Learning Media for Visual Landing Aid Systems

In this study, we designed a wind direction indicator display as a learning medium to help cadets understand how the equipment works. Wind direction indicators are used as a navigation tool for pilots to determine landing direction on airport runways. This study was conducted at the Palembang Aviation Polytechnic using mixed methods, namely research and development and quantitative. The object of the research is cadets of the airport engineering technology study program. Determining whether there are differences in the results or not, by using paired t test. The study results show that the cadets are very enthusiastic in learning and developing these tools, as well as increasing their knowledge and competence in the field of visual landing aids at airports. With this learning media, cadets can better understand how it works. By increasing the competency of cadets, it is hoped that it can support aviation safety in Indonesia.

Fostering Child Empowerment Through English Language Competency in Speaking Skills

This research delves into the intricate relationship between English language competency, specifically in speaking skills, and the empowerment of young learners within the context of early childhood education. Combining descriptive qualitative research with an extensive literature review, the study elucidates the profound implications of language proficiency on child empowerment. The research employs a methodology involving in-depth interviews, systematic classroom observations, and content analysis. Subjects comprise young learners in early childhood education, with a focus on their English language proficiency in speaking. Data collection includes semi-structured interviews with educators, parents, and learners, alongside literature review findings. The outcomes reveal that language proficiency functions as a transformative tool, fostering self-confidence, self-expression, and active learning participation. Proficient speakers exhibit enhanced agency and autonomy, equipping them with cognitive tools for academic success and global navigation. Disparities in language competency and empowerment among young learners are identified, necessitating inclusive educational practices and targeted support. This research underscores educators' pivotal role, alongside engaged parents and inclusive curriculum design, in fostering language proficiency as a means of empowering children in early education. The study contributes to a holistic understanding of language's role in shaping the foundations of empowered, lifelong learners.

Feasibility of a novel augmented reality overlay for cervical screw placement in phantom spine models.

Feasibility study. A phantom model was used to evaluate the accuracy of a novel augmented reality (AR) system for cervical screw placement. The use of navigation systems is becoming increasingly common in spine procedures. However, numerous factors limit the feasibility of regular and widespread use of navigation tools during spine surgery. AR is a new technology that has already demonstrated utility as a navigation tool during spine surgery. However, advancements in AR technology are needed to increase its adoption by the medical community. AR technology that uses a fiducial-less registration system was tested in a preclinical cervical spine phantom model study for accuracy during spinal screw placement. A three-dimensional reconstruction of the spine along with trajectory lines was superimposed onto the phantom model using an AR headset. Participants used the AR system to guide screw placement, and post-instrumentation scans were compared for accuracy assessment. Twelve cervical screws were placed under AR guidance. All screws were placed in an acceptable anatomic position. The average distance error for the insertion point was 2.73±0.55 mm, whereas that for the endpoint was 2.71±0.69 mm. The average trajectory angle error for all insertions was 2.69°±0.59°. This feasibility study describes a novel registration approach that superimposes spinal anatomy and trajectories onto the surgeon's real-world view of the spine. These results demonstrate reasonable accuracy in the preclinical model. The results of this study demonstrate that this technology can assist with accurate screw placement. Further investigation using cadaveric and clinical models is warranted.

Simulation Model Design of VHF Omni-Directional Range (VOR) Based on Microcontroller

The process of giving directional information to assist airplanes in making an accurate landing at the airport of destination is known as aviation navigation. The VHF Omnidirectional Range is a crucial navigation tool for guiding planes to the airport (VOR). Since it costs a lot of money to learn how to fly an airplane, a VOR simulator was developed that can mimic the movement of an aircraft passing through the VOR. The simulation that was produced is a prototype that sends and receives signals to the aircraft utilizing an antenna and microcontroller as supporting hardware. The VOR/DME flight navigation system is constructed in this study using mathematical modeling; a formulation representing the essential features of the system is expressed as a set of connected variables. The ESP32 module that powers the system serves as a DME by sending out Bluetooth radio signals. where one ESP32 module serves as a DME object (moving DME) and three ESP32 modules serve as DME stations (ground DME). Information on the distance between the DME station and the DME object will be communicated using the MQTT protocol, and this data will be processed using the trilateration method to predict the location and movement of the DME object. The measurement accuracy at DME station 1, DME station 2, and DME station 3 are 99.52%, 99.92%, and 99.98% respectively. The enhanced capabilities to estimate the position of objects observed from different directions or omni-directionally on a two-dimensional scale are made possible by the performance results of combining the performance of three ESP32 devices as Distance Measurement Equipment (DME).

When a Health Insurance Provider says “No”: A Health Insurance Claim Navigation Tool

The purpose of health insurance is to pay for preventative and nonpreventative health care. Unfortunately, claim denials are frequent and most people do not contested these denials. Consumers lack both knowledge and self-efficacy to challenge their health insurance decision. Conflict is stressful can occur when a health insurance claim is denied unexpectedly. Faced with uncertainty of health care cost coverage, consumers are more likely to delay or forgo healthcare and jeopardize their health. To address this challenge, increase awareness of claim appeal processes and to provide consumer guidance, [STATE] Extension developed a Health Insurance Claim Navigation Tool.

Clinical pharmacology - navigation tools for a world filled with generic options

Understanding the basic types of drug product approval appli­cations can be helpful when selecting products to recommend for use within a particular livestock system. Products that do not have an NADA or ANADA number have not been through any type of FDA approval process. Products with an ANADA, commonly referred to as “generics”, have an abbreviated ap­proval process through the FDA. Many products necessary for daily practice are listed in the FDA’s Green Book. This document gives several examples of specific approval types, and how that relates to the effectiveness evidence for the product in the bottle. Both a solid understanding of the effectiveness evidence generated by the approval process, as well as the context within which the product will be used is necessary to make recom­mendations for use of these products within livestock systems.

Technical Blog

A blog is an online repository of experience, knowledge, and data that users post and share with other users in the form of text, video, or image files. Any experience, understanding, or knowledge that the user feels like sharing with other blog community members in order to disseminate information and other materials can be found on a blog website. He or she is free to publish anything they like, but they also have to abide by some regulations around disciplinary content that shouldn't be made obvious to other members of the community. Here "Build A Healthy and Interactive Community which will be on Benefit for Everyone" is our most essential motto. This project is an all-inclusive web portal offering a vast array of technical information topros, amateurs, and students alike. Using simple navigation and interactive tools, users can study articles, tutorials, and debates spanning a variety of technical subjects. Users may create, edit, and share insights with the help of content management systems, and strong user authentication and role-based access guarantee secure interactions. Thanks to robust search features and a lively community-driven environment, users can easily locate and engage with pertinent material. Using efficient moderating tools, administrators uphold the integrity of the platform, promoting a secure and cooperative atmosphere. With scalability, performance, and security as our top priorities, our TechBlog initiative aims to stimulate learning, make information sharing easier, and encourage creativity in the tech community

Об одном подходе к групповой навигации необитаемых подводных аппаратов

A method for the group navigation support of autonomous underwater vehicles performing a common mission in shallow waters, which includes a leader underwater vehicle with high-precision navigation tools, is described. The operation of all devices is synchronized and involves information interaction between them. The determination for coordinates of the vehicles is based on measuring the distances between them and the leader device. An algorithm for estimating the location of individual devices is considered. The results of numerical modeling are presented, confirming the operability and required accuracy of the considered algorithm.

A Review on Voice Navigation System for the Visually Impaired

A ground-breaking voice navigation system seems as a ray of light in a world where blind people must overcome enormous obstacles to navigate strange places. For those with vision impairments, safely and independently navigating in unfamiliar situations presents substantial obstacles. This system is a paradigm shift in providing safe and independent mobility assistance for the visually handicapped, as it makes use of cutting-edge technologies. The voice navigation system gives users the confidence to confidently navigate uncharted territory by seamlessly integrating computer vision and machine learning capabilities. With the use of real-time obstacle classification and recognition capabilities, the system can give users vital information about their surroundings, empowering them to make wise decisions while traveling. The system's smartphone-based platform, which provides an intuitive interface that can be accessed with voice commands, is its basis. By utilizing deep learning algorithms and pre-trained models, the system can precisely identify barriers and guide people across intricate environments. Precise positioning and route planning are made possible by the system's integration of GPS technology. Users receive up-to-date information on their location and the most efficient route to their destination via voice-activated instructions and advice. Individual user preferences are catered to by customizable options, which guarantee a tailored and user-friendly experience. A wider user base can utilize the system, democratizing access to necessary navigation tools, due to its affordability and interoperability with commonly available smartphone devices. The results of experimental tests highlight the effectiveness of the system, showing that it can reliably and accurately guide visually impaired people across a variety of surroundings. Through the promotion of increased autonomy and mobility, the voice navigation system enables users to move with unprecedented liberty and self-assurance, surmounting obstacles and opening up novel prospects. Key Words: : Voice navigation system, Machine learning, GPS technology, Deep learning algorithms, Navigation tools.