Mapping Technology Research Articles

Research on the analysis of morphological characteristics in pediatric femoral neck fractures utilizing 3D CT mapping.

Proximal femoral fractures in children are challenging in clinical treatment due to their unique anatomical and biomechanical characteristics. The distribution and characteristics of fracture lines directly affect the selection of treatment options and prognosis. Pediatric proximal femur fractures exhibit distinctive features, with the distribution and characteristics of the fracture line playing a crucial role in deciding optimal treatment. The study aims to investigate the morphological characteristics of pediatric femoral neck fracture (FNF) from clinical cases by fracture mapping technology and to analyze the relationship between fracture classifications and age. The CT data were collected from 46 consecutive pediatric inpatients' diagnoses of FNF from March 2009 to December 2022. The fracture imaging was reconstructed in three dimensions and performed the simulated anatomical reduction by Mimics and 3-matic. Both Delbet classification and Pauwels angle classification were documented according to the fracture line in each patient. Furthermore, all of the fracture lines in these patients were superimposed to form a fracture map and a heat map. This study included 24 boys and 22 girls (average age, 9.61 ± 3.17years (4 to 16years)). The fracture lines of the anterior and superior femoral neck were found to be mainly located in the middle and lower regions of the femoral neck, while fracture lines of the posterior and inferior neck were mainly concentrated in the middle region. Most children younger than 10years had Delbet type III of fracture (69%), whereas those older than 10years had Delbet type II of fracture (73%). Furthermore, most children had Pauwels angle type III of fracture (63%), especially in those over 10years old (80%) (p = 0.0001). FNF in children is predominantly located in the middle and lower regions of the neck. Older children may be prone to be affected with higher fracture location of FNF or unstable type of fracture.

Application of Slam Technology for Autonomous Mobile Robots in Complex Environments

SLAM technology is widely used in many fields, such as whether it is possible to map the environment and determine the direction of progress while placing a robot in an unknown location in an unknown environment. On this basis, this paper studies the use of autonomous movement of robots in complex environments. This article will first introduce vision technology in dynamic environments and camera-based dynamic environmental sensor technology. Additionally, it will discuss parallel research on real time 3D map optimization and algorithm processing based on cameras. Secondly, the map construction and dynamic maintenance of mobile robots and how to improve the application of Road King tracking algorithm in robots are introduced. Finally, the multi-sensor laser mapping technology and algorithm of mobile robot are introduced. This research will significantly contribute to the development and application of mobile robots capable of processing complex information in challenging environments. The integration of these technologies and algorithms paves the way for more robust and adaptable autonomous navigation systems in real-world applications.

Development and Challenges of UAV Technology in Civil Engineering Surveying and Mapping

Development and Challenges of UAV Technology in Civil Engineering Surveying and Mapping

Single-cell mapping of regulatory DNA:Protein interactions.

Gene expression is coordinated by a multitude of transcription factors (TFs), whose binding to the genome is directed through multiple interconnected epigenetic signals, including chromatin accessibility and histone modifications. These complex networks have been shown to be disrupted during aging, disease, and cancer. However, profiling these networks across diverse cell types and states has been limited due to the technical constraints of existing methods for mapping DNA:Protein interactions in single cells. As a result, a critical gap remains in understanding where TFs or other chromatin remodelers bind to DNA and how these interactions are perturbed in pathological contexts. To address this challenge, we developed a transformative single-cell immuno-tethering DNA:Protein mapping technology. By coupling a species-specific antibody-binding nanobody to a cytosine base editing enzyme, this approach enables profiling of even weak or transient factor binding to DNA, a task that was previously unachievable in single cells. Thus, our Docking & Deamination followed by sequencing (D&D-seq) technique induces cytosine-to-uracil edits in genomic regions bound by the target protein, offering a novel means to capture DNA:Protein interactions with unprecedented resolution. Importantly, this technique can be seamlessly incorporated into common single-cell multiomics workflows, enabling multimodal analysis of gene regulation in single cells. We tested the ability of D&D-seq to record TF binding both in bulk and at the single-cell level by profiling CTCF and GATA family members, obtaining high specificity and efficiency, with clear identification of TF footprint and signal retention in the targeted cell subpopulations. Furthermore, the deamination reaction showed minimal off-target activity, with high concordance to bulk ChIP-seq reference data. Applied to primary human peripheral blood mononuclear cells (PBMCs), D&D-seq successfully identified CTCF binding sites and enabled integration with advanced machine-learning algorithms for predicting 3D chromatin structure. Furthermore, we integrated D&D-seq with single-cell genotyping to assess the impact of IDH2 mutations on CTCF binding in a human clonal hematopoiesis sample, uncovering altered binding and chromatin co-accessibility patterns in mutant cells. Altogether, D&D-seq represents an important technological advance enabling the direct mapping of TF or chromatin remodeler binding to the DNA in primary human samples, opening new avenues for understanding chromatin and transcriptional regulation in health and disease.

Ablation options for sub-epicardially located ventricular substrates responsible for ventricular tachycardia: where is it all headed?

Patients with nonischemic and ischemic cardiomyopathy (NICM and ICM) exhibit re-entrant tachycardias related to scar tissue in subepicardial, in addition to typical subendocardial locations. Control of ventricular arrhythmias related to these targets has remained elusive despite advances in mapping and ablation technology. Percutaneous epicardial ablation is the standard after failed endocardial ventricular ablation, but recurrence rates are disappointing. Pulsed-field energy has been associated with coronary artery spasm and therefore may be less suitable for epicardial ablation. Commercially available energy sources, including pulsed-field, have limited depths of myocardial penetration when applied epicardially. Lateral volumetric thermal spreading of ablation injury is associated with decreasing depth of ablation and is difficult to control. A new cryoablation technology based on liquid helium and developed specifically for epicardial work may be able to overcome these limitations. Ablation strategies that can improve lesion formation in subepicardial ventricular myocardium may improve outcomes of ablation in nonsubendocardial NICM and ICM targets.

BRAIN CLEARANCE SYSTEM ALTERATION AND COGNITIVE DECLINE IN AFRICAN AMERICANS WITH POOR SLEEP QUALITY

Abstract African Americans have 2-3 times the prevalence of Alzheimer’s disease (AD) than Whites, making this a significant health disparity in the US. Healthy sleep plays a critical role in providing protection from cognitive decline and AD. Unfortunately, African Americans have significantly poorer indicators of sleep quality than Whites. Moreover, the mechanism whereby sleep drives AD and related cognitive decline is not well understood, in part because causal links are yet to be established by human studies. One possible mechanism linking sleep to AD is the glymphatic system, a network of perivascular spaces (PVS) that support waste clearance. This study used ultra-high field magnetic resonance imaging technology, novel PVS mapping technology, wrist actigraphy and sleep assessments, cognitive assessments and regression analysis to investigate how alteration of the glia-lymphatic system associated with sleep contributes to cognitive decline in 61 community-dwelling African Americans (age 45+). African American who slept more and spent more time in bed had a higher risk for cognitive impairment as indicated by lower MMSE scores. We also found that African Americans with larger PVS volume (more metabolic waste in the brain) had lower cognitive scores. The effect of sleep quality on cognitive status was mediated by PVS, such that African Americans who spent more time in bed had larger PVS (more waste and fluid) and lower cognitive scores. Findings from this study advance our understanding of the role of sleep and brain clearance in cognitive decline in African Americans, and identify PVS as a novel marker for cognitive decline.

Tachycardiomyopathy Treated With Ablation by Using 3D Mapping System in a Patient With Friedreich Ataxia

ABSTRACTThis case report presents the management of tachycardiomyopathy (TCM) in a patient with Friedreich ataxia, a hereditary disorder characterized by progressive neurodegeneration and associated cardiac complications. The patient exhibited severe tachycardia‐induced cardiac dysfunction, complicating the clinical picture due to the overlapping neurological symptoms of Friedreich ataxia. Utilizing a 3D mapping system, catheter ablation was performed to accurately identify and target the arrhythmogenic foci contributing to the patient's TCM. The procedure resulted in significant symptom relief and improvement in cardiac function, underscoring the potential benefits of advanced electrophysiological techniques in managing complex cases. This report highlights the importance of a multidisciplinary approach in diagnosing and treating cardiac manifestations in patients with Friedreich ataxia, as well as the efficacy of 3D mapping technology in guiding successful ablation therapies.

Authorʼs Art-Therapeutic Method “Map of my Trauma” in Working with Psychological Trauma

The article examines issues related to work with psychological trauma and post-traumatic stress disorder in the art therapy method. The concept of psychological trauma and post-traumatic stress disorder is given. It is noted that under certain conditions, experiencing traumatic events can lead to change and post-traumatic growth. The parameters that act as factors determining post-traumatic personal growth are identified: the meaning of life, the emergence of a room that leads to well-being; self-care; understanding of what is happening and reflection on the main values of life; psychological rich life. An art therapy technique based on emotion mapping technology is proposed as a tool for working with traumatic effects. The “Map of My Trauma” technique and the technology of working with it are described in the article, there are comments on its application.

Mapping Technology Acceptance Research in MSMEs

MSMEs contribute significantly to the Indonesian economy but often face challenges in technology adoption. This research identifies factors and barriers to technology acceptance in MSMEs, aims to formulate support strategies, and highlights the role of all in increasing technology acceptance. The results are expected to provide practical solutions for the MSME sector. This research uses qualitative methods with bibliometric techniques using the Vosviewers application. Searches used keywords such as external stimuli, Obstacle, Opportunity, Challenge, Cognitive response, and Readiness. The idea was to search for articles via Publish or Perish with 762 articles, which were then processed using VosViewers. The analysis results found that scientific mapping and the possibility of future research regarding technology acceptance could be used as a recommendation variable for future researchers as a reference for subsequent articles.

Enhancing Post-Surgical Wound Care in Anorectal Diseases: A Comparative Study of Advanced Convolutional Neural Network (CNN) Architectures for Image Classification and Analysis.

Anorectal diseases, often requiring surgical intervention and careful post-operative wound management, pose substantial challenges in healthcare. This study presents a novel application of artificial intelligence, specifically machine learning, aimed at improving the classification and analysis of post-surgical wound images. By doing so, it seeks to enhance patient outcomes through personalized and optimized wound care strategies. This research utilizes convolutional neural networks (CNNs) and employs three advanced architectures-MobileNet, ResNet50, and Inception-v4-to detect and classify key characteristics of post-surgical wounds, including size, location, severity, and tissue type involved. Additionally, the study integrates Gradient-weighted Class Activation Mapping (Grad-CAM) technology to provide interpretative insights into the decision-making processes of these algorithms, offering a deeper understanding of model predictions. The effectiveness of the employed CNN architectures was assessed based on accuracy, precision, and recall metrics. The findings demonstrate that Inception-v4, in particular, exhibits superior performance across all evaluated metrics, underscoring its potential in clinical applications. Grad-CAM visualizations further clarified the rationale behind the model's decisions, enhancing the interpretability of the results. The integration of machine learning technologies in the classification and analysis of wound images represents a significant advancement in medical image analysis and AI-driven healthcare solutions. This research not only enhances the technical capabilities of AI applications in healthcare but also improves the precision of post-operative care in anorectal surgery, ultimately contributing to better treatment outcomes.

Multimodal Blood-Based Biomarker Panel Reveals Altered Lysosomal Ionic Content in Alzheimer's Disease.

Lysosomal storage disorders (LSDs) and adult neurodegenerative disorders like Alzheimer's disease (AD) share various clinical and pathophysiological features. LSDs are characterized by impaired lysosomal activity caused by mutations in key proteins and enzymes. While lysosomal dysfunction is also linked to AD pathogenesis, its precise role in disease onset or progression remains unclear. Lysosomal ionic homeostasis is recognized as a key feature of many LSDs, but it has not been clinically linked with AD pathology. Thus, investigating whether this regulation is disrupted in AD is important, as it could lead to new therapeutic targets and biomarkers for this multifactorial disease. Here, using two-ion mapping (2-IM) technology, we quantitatively profiled lysosomal pH and Ca2+ in blood-derived monocytes from AD patients and age-matched controls and correlated lysosome ionicity with age and key markers of AD pathology, namely, amyloid deposits, tauopathy, neurodegeneration, and inflammation. Together, the data show that the ionic milieu of lysosomes is dysregulated in monocytes of AD patients and correlates with key plasma biomarkers of AD. Using a machine learning model based on the above parameters, we describe a proof-of-concept combinatorial biomarker platform that accurately distinguishes between patients with AD and control participants with an area under the curve of >96%. Our study introduces a convenient, noninvasive platform with the potential to diagnose Alzheimer's disease based on fluid, cellular, and molecular biomarkers. Further, these findings highlight the potential for investigating therapeutic mechanisms capable of restoring lysosome ionic homeostasis to ameliorate AD.

Effectiveness of Drone Technology in Mapping and Controlling Malaria Outbreaks in Sub-Saharan Africa

Malaria remains a critical public health issue in Sub-Saharan Africa, disproportionately affecting vulnerable populations. Innovative approaches are essential for effective surveillance and control of this vector-borne disease. This review explored the effectiveness of drone technology in mapping and controlling malaria outbreaks in the region. Drones, equipped with advanced imaging and sensing capabilities, provide significant advantages for identifying mosquito breeding sites, monitoring environmental conditions, and delivering interventions. This review examined the types of drones used, their various applications in malaria control, and the benefits they offer, such as improved data collection, enhanced operational efficiency, and increased accessibility to remote areas. However, challenges such as regulatory barriers, technical limitations, and community acceptance are also discussed. The review highlighted future prospects for drone technology, including integration with health information systems and advancements in sensor technology. A comprehensive literature review and case study analysis were conducted to assess the current state of drone applications in malaria control. This analysis underscores the transformative potential of drones in enhancing malaria control efforts and improving public health outcomes in Sub-Saharan Africa. Keywords: Drone Technology, Malaria Control, Surveillance, Vector-Borne Diseases, Public Health.

Research on Autonomous Driving Navigation in GNSS Denial Environment

With the development of the automotive industry, the status of autonomous driving technology is gradually increasing. It becomes a symbol of a country's technological strength in the automotive industry. China has also introduced a series of policies to promote the development of autonomous driving technology. In autonomous driving technology, there are three key modules: perception, decision-making, and planning. The research on positioning systems is highly valued by researchers. In positioning systems, satellite navigation systems represented by GPS and the Beidou system are the main sources of information for obtaining the location of autonomous vehicles. However, the reception of signals from satellite navigation systems is often disturbed in special weather conditions and terrain conditions. Therefore, relying on single satellite navigation systems for positioning does not satisfy the requirements of actual autonomous driving conditions. At present, to get precise positioning under the GNSS denial environments, various vehicular sensors are used to obtain the vehicle body position information. Single-sensor SLAM technology cannot satisfy the requirements of precise positioning because of the differences in working principles. The multiple sensors coupled with SLAM technology are necessary to be studied. This article mainly introduces the GNSS positioning and mapping technology based on IMU and LiDAR fusion and the advanced positioning system based on three-sensor fusion.

Optical genome mapping technology and its applications in genetic disease diagnosis

Optical genome mapping (OGM) is an emerging technology for the detection of genetic diseases based on physical mapping, which can detect numerical chromosomal abnormalities, copy number variation (CNV) and structural variation (SV) on a genome-wide scale. In recent years, a number of studies have proved that OGM, as a new generation of cytogenomic technique, has higher resolution and stronger ability to discover genomic variants compared with conventional genetic techniques. This article has systematically reviewed the principles, characteristics, advantages and limitations of OGM technology, and its applications in the diagnosis of genetic disorders.

Robot Tracking Navigation Based on Visual SLAM

Visual Simulation Localization and Mapping technology is an important research direction in the fields of computer vision and robotics. The research background of this technology mainly stems from the insufficient accuracy of traditional positioning and map construction methods in the face of environmental changes. With the development of artificial intelligence, this technology has been involved in multiple disciplinary fields. Since 2015, researchers have begun to focus on the combination with deep learning to improve algorithm robustness, dynamic scene planning and other aspects. This article which introduces the existing tracking car system and visual SLAM (Simultaneous Localization and Mapping) system framework explores the robot tracking and navigation technology based on visual SLAM. Visual SLAM technology provides robots with an autonomous navigation solution that does not require external sensors through feature extraction, real-time positioning, mapping, and closed-loop detection. This article also discusses the advantages and disadvantages of visual SLAM navigation, and offers insights into the future development of VSLAM technology in robot tracking navigation.

Comprehensive mapping of molecular cytogenetic markers in pitaya (Hylocereus undatus) and related species.

Pitaya (Hylocereus undatus; 2n=22) is an important fruit crop from the Cactaceae family, originally domesticated in Mexico and the USA, and is now widely cultivated for its nutritional benefits. It is characterized by its distinctive triangular-shaped stems and large, showy flowers, thriving in arid and semi-arid environments, particularly in hot, dry climates. However, systematic chromosomal studies, including chromosomal mapping of cytogenetic markers in pitaya, are limited, presenting challenges for its cytogenetic improvement. To address this issue, we designed oligo-barcodes specific to thirty-three chromosome regions based on the pitaya reference genome and applied them to both pitaya and cactus (Selenicerus grandifloras; 2n=22) for oligo-barcodes mapping, karyotyping, and chromosome identification. We utilized FISH technology, employing oligo, rDNA, and tandem repeat probes for chromosomal mapping, identification, and karyotyping of pitaya and related species. We successfully localized oligo-barcodes on eleven pairs of chromosomes in both pitaya and cactus, demonstrating the effectiveness of the synthesized oligo-barcodes. We used two ribosomal DNA (rDNA) probes (45S and 5S) and two tandem repeat probes (GTR11 and STR3) in pitaya (both diploid and tetraploid) and two other Cactaceae species (S. grandifloras and Opuntia humifusa; 2n=40) for chromosomal mapping. The analysis of rDNA distribution and CMA (Chromomycin A3) banding across different chromosomes in pitaya and cacti highlights the concept of conserved rDNA. This study provides fundamental insights into cytogenetic markers and their localization across different chromosomes in pitaya and other Cactaceae species.

Continuous improvement: Kaizen in the materials processing industry

Podlesny S. V. Continuous improvement: Kaizen in the materials processing industry The study examines current issues related to the implementation of the Kaizen concept in the materials processing industry, based on continuous improvement. Theoretical and practical issues of using the Kaizen concept are considered in order to improve all aspects of the functioning of materials processing enterprises, solve many production issues and problems, improve the quality of products and services, increase competitiveness, efficient use of resources, increase efficiency and effectiveness, reduce costs and achieve gradual improvements in various aspects of production. Kaizen has become a universal method aimed at continuous improvement in accordance with the requirements of the modern competitive environment. Three sets of Kaizen principles and the benefits that its use provides in the materials processing industry are discussed. The application of Kaizen principles solves the problems of optimizing production processes, standardization, establishing standard operating procedures and best practices, and involving all employees of the enterprise in improvement processes. It is recommended to implement changes using Kaizen using the PDCA approach. A list of principles of the Kaizen philosophy is given that should guide the implementation of changes. The Kaizen philosophy emphasizes the importance of the participation of all employees in the process of continuous improvement. Kaizen methodology, as a systematic approach to continuous improvement, actively uses standardization, data to make decisions and identify areas for improvement. Examples of the possible use of Kaizen to improve individual elements of production are given. It has been shown that Kaizen can be successfully combined with other approaches and technologies, such as 5S, Kanban, Value Stream Mapping, Six Sigma, DMAIC, and digital technologies.

Pengenalan dan Pemetaan Lokasi Budidaya Perairan bagi Nelayan Desa Tandung menggunakan Unmanned Aerial Vehicle

Purpose: Improving community understanding of coastal spatial conditions, providing coastal spatial information in Tandung Village Methodology: The location of the activity is in Tandung Village, Tinambung District, West Sulawesi. The activity went through the counseling stage, data recording using DJI 4 brand unmanned aerial vehicle (UAV) technology. The results of the data recording were processed using Agisoft software to produce a coastal spatial map. At the end of the activity, an evaluation was carried out to determine the achievement of the activity's objectives. Results: The community, especially the village government, began to recognize the use of technology for mapping that had never been seen directly before. The community was very enthusiastic when shown and given the opportunity to see the operation of drones for mapping. Information is available regarding the use of space activities on the coast of Tandung Village, especially related to the aquaculture activity and attracting the attention of the village government to initiate comprehensive spatial mapping in Tandung Village. Limitations: A fairly large coastal area requires time to record data using drones. Contribution: The results of the activity contribute to the provision of spatial data on coastal utilization in Tandung Village along with identification of potential that can be explored.

A high-quality chromosome-level genome assembly of the traditional Chinese medicinal herb Zanthoxylum nitidum

Dried roots of Zanthoxylum nitidum (2n=2x=70, family Rutaceae) was referred as “Liang-Mian-Zhen” in Chinese, acting as a valuable species due to its notable pharmacological activities. Herein, we combined PacBio HiFi data together with Hi-C mapping technology to construct a chromosome-scale reference genome assembly for Z. nitidum. The assembly reached a length of 2.24 Gb, successfully anchoring 99.31% of sequences onto 35 pseudo-chromosomes. Among these, 26 chromosomes achieved telomere-to-telomere assembly, and 11 chromosomes were gap-free. The contigs N50 and scaffolds N50 reached 57.61 Mb and 78.00 Mb, respectively. Transposable elements comprised 81.44% of the Z. nitidum genome, and over 78% of them were long-terminal repeat retrotransposon elements. Furthermore, 32,737 protein-coding genes were identified and 99.38% of all were functionally annotated. The completeness of the genome assembly and final gene sets reached 97.83% and 96.47% based on Benchmarking Universal Single-Copy Orthologs (BUSCO), respectively. Taken together, our results provided a high-quality chromosome-level assembly of Z. nitidum genome and will be a valuable resource that will facilitate breeding varieties with higher alkaloids content.

Requirement-service mapping technology in the industrial application field based on large language models

Requirement-service mapping technology in the industrial application field based on large language models