Capture Techniques Research Articles

VISUAL OUTCOME OF AGE-RELATED CATARACT SURGERY IN PATIENTS 50 YEARS AND ABOVE WHO UNDERGO CATARACT SURGERY. A CROSS-SECTIONAL STUDY AT JINJA REGIONAL REFERRAL HOSPITAL

Purpose of the study The study was to evaluate the visual outcome of age-related cataract surgery among patients 50 years and above who underwent cataract surgery at Jinja Regional Referral Hospital. It was carried out from December 2022 to April 2023. Study methods A hospital-based descriptive retrospective study methodology was used. Data was extracted from patients’ records and 80 files of patients aged 50 years and above who had undergone age-related cataract surgery in JRRH were analyzed. The data was captured using an interview guide and was presented in tables, figures, and narratives. Principle finding Out of 80 eyes analyzed, at 3-4 weeks good outcome was in 31.25% of eyes, borderline outcome in 17%, and poor outcome in 6.25%. Good and borderline outcome was due to biometry performed before surgery and turned up for review. Poor outcome was due to complications, pre-existing co-morbidity, and failure to turn up for review as required. 20% did not turn up at 1-2 weeks for review and 45% did not turn up for review at 3-4 weeks. Complications included; corneal edema, shallow anterior chamber, uveitis, elevated IOP, posterior capsule rupture, iridodialysis, and lens dislocation. Visual outcomes had a positive impact on quality of life after cataract surgery in all patients. Conclusion Visual outcome at the fourth week of follow-up was below the WHO recommendations and this was due to pre-existing co-morbidity, complications, and failure to turn up for review. Recommendations Devise a better information capture technique and find means to reach out to patients to come for follow-up visits, use modern technology and equipment, practice refraction for all post-operative patients, and encourage early uptake of cataract surgery services.

The dsRNA isolated from Escherichia coli infected with the MS2 bacteriophage induces the production of interferons

Viral infections pose a significant threat to public health, and the production of interferons represents one of the most critical antiviral innate immune responses of the host. Consequently, the screening and identification of compounds or reagents that induce interferon production are of paramount importance. This study commenced with the cultivation of host bacterium 15,597, followed by the infection of Escherichia coli with the MS2 bacteriophage. Utilizing the J2 capture technique, a class of dsRNA mixtures (MS2+15,597) was isolated from the E. coli infected with the MS2 bacteriophage. Subsequent investigations were conducted on the immunostimulatory activity of the MS2+15,597 mixture. The results indicated that the dsRNA mixtures (MS2+15,597) extracted from E. coli infected with the MS2 bacteriophage possess the capability to activate innate immunity, thereby inducing the production of interferon-β. These dsRNA mixtures can activate the RIG-I and TLR3 pattern recognition receptors, stimulating the expression of interferon stimulatory factors 3/7, which in turn triggers the NF-κB signaling pathway, culminating in the cellular production of interferon-β to achieve antiviral effects. This study offers novel insights and strategies for the development of broad-spectrum antiviral drugs, potentially providing new modalities for future antiviral therapies.

Endovascular retrieval of a migrated contraceptive implant into the pulmonary artery : case report and review of literature

BackgroundThe migration of contraceptive devices into pulmonary arteries is extremely rare, reported to be 1 in 100,000.Case presentationA 19-year-old female presented no sensation of a contraceptive implant in her arm which had been placed one year prior. A CT scan confirmed that the implant had migrated into the left lower segmentary pulmonary artery. After a multidisciplinary meeting, an endovascular approach was attempted. Following right femoral venous access, a 8F NeuronMax® introducer was placed into the left pulmonary artery under fluoroscopic guidance. The contraceptive device was removed using a 25-mm loop snare, with a proximal capture technique. The patient was discharged the following day, with no reported complications.ConclusionIn cases of contraceptive device migration, the first medical decision involves deciding between removal or 'watching and waiting'. Previous reports describe two removal options: endovascular or surgical approaches. Fourteen reports have been published, with high technical success and low rates of complications. The loop snare technique is described as the optimal technique for an endovascular approach. Due to their invasive nature, surgical approaches should be reserved for cases of endovascular removal failure, after evaluating risks and benefits.Graphical

Characterization of the High-Quality Genome Sequence and Virulence Factors of Fusarium oxysporum f. sp. vasinfectum Race 7.

Fusarium oxysporum f. sp. vasinfectum (Fov) is a common soilborne fungal pathogen that causes Fusarium wilt (FW) disease in cotton. Although considerable progress has been made in cotton disease-resistance breeding against FW in China, and the R gene conferring resistance to Fov race 7 (FOV) in Upland cotton (Gossypium hirsutum) has been identified, knowledge regarding the evolution of fungal pathogenicity and virulence factors in Fov remains limited. In this study, we present a reference-scale genome assembly and annotation for FOV7, created through the integration of single-molecule real-time sequencing (PacBio) and high-throughput chromosome conformation capture (Hi-C) techniques. Comparative genomics analysis revealed the presence of six supernumerary scaffolds specific to FOV7. The genes or sequences within this region can potentially serve as reliable diagnostic markers for distinguishing Fov race 7. Furthermore, we conducted an analysis of the xylem sap proteome of FOV7-infected cotton plants, leading to the identification of 19 proteins that are secreted in xylem (FovSIX). Through a pathogenicity test involving knockout mutants, we demonstrated that FovSIX16 is crucial for the full virulence of FOV7. Overall, this study sheds light on the underlying mechanisms of Fov's pathogenicity and provides valuable insights into potential management strategies for controlling FW.

DiffGR: Detecting Differentially Interacting Genomic Regions from Hi-C Contact Maps

Abstract Recent advances in high-throughput chromosome conformation capture (Hi-C) techniques have allowed us to map genome-wide chromatin interactions and uncover higher-order chromatin structures, thereby shedding light on the principles of genome architecture and functions. However, statistical methods for detecting changes in large-scale chromatin organization such as topologically associating domains (TADs) are still lacking. We proposed a new statistical method, DiffGR, for detecting differentially interacting genomic regions at the TAD level between Hi-C contact maps. We utilized the stratum-adjusted correlation coefficient to measure similarity of local TAD regions. We then developed a nonparametric approach to identify statistically significant changes of genomic interacting regions. Through simulation studies, we demonstrated that DiffGR can robustly and effectively discover differential genomic regions under various conditions. Furthermore, we successfully revealed cell type-specific changes in genomic interacting regions in both human and mouse Hi-C datasets, and illustrated that DiffGR yielded consistent and advantageous results compared with state-of-the-art differential TAD detection methods. The DiffGR R package is published under the GNU General Public License (GPL) ≥ 2 license and is publicly available at https://github.com/wmalab/DiffGR.

Abstract 405: Translocation detection in cancer using low-pass pore-c sequencing

Abstract Complex chromosomal rearrangements, including translocations, play a critical role in oncogenesis and are often identified as recurrent genetic aberrations in hematologic malignancies and solid tumors[1]. Translocation detection by karyotyping of an individual’s metaphase chromosomes remains challenging for detection of balanced rearrangements, which have no gain or loss of genetic material. Rearrangement detection using whole-genome sequencing is a viable alternative, but it relies on breakpoint-spanning reads and requires high sequencing depth (30-60x) with long reads to achieve high sensitivity, especially in repetitive regions of the genome[2]. Here, we describe a workflow for translocation detection at low sequencing depth with Oxford Nanopore’s long read chromatin conformation capture technique, Pore-C[3]. Importantly, for translocation calling, Pore-C does not rely on breakpoint-spanning reads but rather the high intrachromosomal interaction frequency of genomic regions around the breakpoint, thus largely lowering sequencing depth requirements and reducing mapping issues in low complexity regions. We prepared, barcoded, and sequenced Pore-C libraries of 3 cancer cell lines including lung cancer (A549), Acute Monocytic Leukemia (THP-1), melanoma (COLO 829) and its matching normal (COLO 829 BL) on a single Q20+ MinION flow cell (FLO-MIN114). Genome-wide contact maps of low-pass data (<1.5 Gbps per sample) were compared against higher depth (>30 Gbps per sample) Hi-C maps [4], revealing that low-pass Pore-C successfully captured large-scale genomic rearrangement. For example, chromosomal pairs chr8-chr11 and chr15-chr19 in A549, chr9-chr11 and chr1-chr20 in THP1, and chr7-chr15 in Colo829 were detected at <0.5X depth of sequencing coverage. These translocation events were further validated by breakpoint analysis using adaptive sampling, where targeted regions were previously confirmed by independent studies[4],[5]. Low-pass Pore-C detects translocations in an unbiased manner and does not require prior knowledge of the translocation structure. Combined with its simple sample-preparation workflow and the capability to provide genome-wide copy-number information in a single experiment, it can serve as a cost-effective and comprehensive tool for cancer genomic studies. [1] Chromosomal translocations in human cancer, Nature, 372, 143 (1994) [2] Hi-C as a tool for precise detection and characterisation of chromosomal rearrangements and copy number variation in human tumors, Genome Biology, 18, 125 (2017) [3] Identifying synergistic high-order 3D chromatin conformations from genome-scale nanopore concatemer sequencing, Nature Biotechnology, 40, 1488(2022) [4] Chromosomal translocations detection in cancer cells using chromosomal conformation capture data, Genes (Basel), 13, 7 (2022) [5] A multi-platform reference for somatic structural variation detection, Cell Genomics, 2, 6 (2022) Citation Format: Scott Hickey, Xiaoguang Dai, Sergey Aganezov, John Beaulaurier, Eoghan Harrington, Sissel Juul. Translocation detection in cancer using low-pass pore-c sequencing [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 405.

Abstract 2436: In-depth analysis of microRNA signature in breast cancer derived extracellular vesicles: A potential biomarker repository for breast cancer diagnosis

Abstract Breast cancer remains one of the leading causes of cancer-related mortality among women worldwide. With the rising incidence of breast cancer, early and accurate diagnosis is pivotal in improving survival rates and patient outcomes. Our study addresses to identify vesicles associated with breast cancer in scope of miRNA signature. We focused on isolating breast cancer-derived extracellular vesicles (BEVs) from the bloodstream with immune affinity capture techniques. Then, we analyzed the miRNA profiles of BEVs in plasma samples from 120 breast cancer patients, 46 individuals with benign tumors, and 45 healthy controls. In this study, we analyzed to discover miRNA candidates for diagnosis of breast cancer with The Gene Expression Omnibus (GEO) database and found 379 down-regulated and 584 up-regulated differentially expressed miRNAs (DEMs) in tissue samples across 5 GEO datasets, and 28 down-regulated and 80 up-regulated DEMS in blood samples. Subsequently, we measured the expression levels of these 10 candidate miRNAs in BEVs from breast cancer cells and compared them with EVs from human mammary cells (MCF10a), using our BEV isolation method. The expression profiles of these miRNAs in BEVs were significantly elevated, supporting their potential as surrogate markers for breast cancer diagnosis. When comparing the AUC values of 10 candidate miRNAs through ROC analysis, 5 EV miRNAs (miR-21, miR-106b, miR-181a, miR-484, and miR-1260b) showed a high AUC values above 0.8. Subsequently, we verified a distinct signature of 5 EV miRNAs that effectively differentiate breast cancer patients from normal controls with 57.14% of sensitivity and 95% of specificity. Overall, our study not only complements existing diagnostic methods with high accuracy but also provides a deeper understanding of the molecular aspects of breast cancer, heralding a significant advancement in precision medicine and personalized cancer care. Citation Format: Jee Ye Kim, Min Woo Kim, Young Kim, Sol Moon, Suji Lee, Hyojung Lee, Joon Ye Kim, Seung Il Kim. In-depth analysis of microRNA signature in breast cancer derived extracellular vesicles: A potential biomarker repository for breast cancer diagnosis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2436.

Hi-C, a chromatin 3D structure technique advancing the functional genomics of immune cells.

The functional performance of immune cells relies on a complex transcriptional regulatory network. The three-dimensional structure of chromatin can affect chromatin status and gene expression patterns, and plays an important regulatory role in gene transcription. Currently available techniques for studying chromatin spatial structure include chromatin conformation capture techniques and their derivatives, chromatin accessibility sequencing techniques, and others. Additionally, the recently emerged deep learning technology can be utilized as a tool to enhance the analysis of data. In this review, we elucidate the definition and significance of the three-dimensional chromatin structure, summarize the technologies available for studying it, and describe the research progress on the chromatin spatial structure of dendritic cells, macrophages, T cells, B cells, and neutrophils.

Effects of added trunk load on the in vivo kinematics of talocrural and subtalar joints during landing

BackgroundLanding from heights is a common movement for active-duty military personnel during training. And the additional load they carry while performing these tasks can affect the kinetics and ankle kinematic of the landing. Traditional motion capture techniques are limited in accurately capturing the in vivo kinematics of the talus. This study aims to investigate the effect of additional trunk load on the kinematics of the talocrural and subtalar joints during landing, using a dual fluoroscopic imaging system (DFIS). MethodsFourteen healthy male participants were recruited. Magnetic resonance imaging was performed on the right ankle of each participant to create three-dimensional (3D) models of the talus, tibia, and calcaneus. High-speed DFIS was used to capture the images of participants performing single-leg landing jumps from a height of 40 cm. A weighted vest was used to apply additional load, with a weight of 16 kg. Fluoroscopic images were acquired with or without additional loading condition. Kinematic data were obtained by importing the DFIS data and the 3D models in virtual environment software for 2D–3D registration. The kinematics and kinetics were compared between with or without additional loading conditions. ResultsDuring added trunk loading condition, the medial-lateral translation range of motion (ROM) at the talocrural joint significantly increased (p < 0.05). The subtalar joint showed more extension at 44–56 ms (p < 0.05) after contact. The subtalar joint was more eversion at 40–48 ms (p < 0.05) after contact under the added trunk load condition. The peak vertical ground reaction force (vGRF) significantly increased (p < 0.05). ConclusionsWith the added trunk load, there is a significant increase in peak vGRF during landing. The medial-lateral translation ROM of the talocrural joint increases. And the kinematics of the subtalar joint are affected. The observed biomechanical changes may be associated with the high incidence of stress fractures in training with added load.

Hi-C techniques: from genome assemblies to transcription regulation.

The invention of chromosome conformation capture (3C) techniques, in particular the key method Hi-C providing genome-wide information about chromatin contacts, revolutionized the way we study the three-dimensional organization of the nuclear genome and how it affects transcription, replication, and DNA repair. Because the frequency of chromatin contacts between pairs of genomic segments predictably relates to the distance in the linear genome, the information obtained by Hi-C has also proved useful for scaffolding genomic sequences. Here, we review recent improvements in experimental procedures of Hi-C and its various derivatives, such as Micro-C, HiChIP, and Capture Hi-C. We assess the advantages and limitations of the techniques, and present examples of their use in recent plant studies. We also report on progress in the development of computational tools used in assembling genome sequences.

Benchmarking a targeted 16S ribosomal RNA gene enrichment approach to reconstruct ancient microbial communities.

The taxonomic characterization of ancient microbiomes is a key step in the rapidly growing field of paleomicrobiology. While PCR amplification of the 16S ribosomal RNA (rRNA) gene is a widely used technique in modern microbiota studies, this method has systematic biases when applied to ancient microbial DNA. Shotgun metagenomic sequencing has proven to be the most effective method in reconstructing taxonomic profiles of ancient dental calculus samples. Nevertheless, shotgun sequencing approaches come with inherent limitations that could be addressed through hybridization enrichment capture. When employed together, shotgun sequencing and hybridization capture have the potential to enhance the characterization of ancient microbial communities. Here, we develop, test, and apply a hybridization enrichment capture technique to selectively target 16S rRNA gene fragments from the libraries of ancient dental calculus samples generated with shotgun techniques. We simulated data sets generated from hybridization enrichment capture, indicating that taxonomic identification of fragmented and damaged 16S rRNA gene sequences was feasible. Applying this enrichment approach to 15 previously published ancient calculus samples, we observed a 334-fold increase of ancient 16S rRNA gene fragments in the enriched samples when compared to unenriched libraries. Our results suggest that 16S hybridization capture is less prone to the effects of background contamination than 16S rRNA amplification, yielding a higher percentage of on-target recovery. While our enrichment technique detected low abundant and rare taxa within a given sample, these assignments may not achieve the same level of specificity as those achieved by unenriched methods.

Orthoscopic elemental image synthesis for 3D light field display using lens design software and real-world captured neural radiance field.

The elemental images (EIs) generation of complex real-world scenes can be challenging for conventional integral imaging (InIm) capture techniques since the pseudoscopic effect, characterized by a depth inversion of the reconstructed 3D scene, occurs in this process. To address this problem, we present in this paper a new approach using a custom neural radiance field (NeRF) model to form real and/or virtual 3D image reconstruction from a complex real-world scene while avoiding distortion and depth inversion. One of the advantages of using a NeRF is that the 3D information of a complex scene (including transparency and reflection) is not stored by meshes or voxel grid but by a neural network that can be queried to extract desired data. The Nerfstudio API was used to generate a custom NeRF-related model while avoiding the need for a bulky acquisition system. A general workflow that includes the use of ray-tracing-based lens design software is proposed to facilitate the different processing steps involved in managing NeRF data. Through this workflow, we introduced a new mapping method for extracting desired data from the custom-trained NeRF-related model, enabling the generation of undistorted orthoscopic EIs. An experimental 3D reconstruction was conducted using an InIm-based 3D light field display (LFD) prototype to validate the effectiveness of the proposed method. A qualitative comparison with the actual real-world scene showed that the 3D reconstructed scene is accurately rendered. The proposed work can be used to manage and render undistorted orthoscopic 3D images from custom-trained NeRF-related models for various InIm applications.

Surface Modification of Polystyrene with Boronic Acid for Immunoaffinity-Based Cell Enrichment.

Obtaining an enriched and phenotypically pure cell population from heterogeneous cell mixtures is important for diagnostics and biosensing. Existing techniques such as fluorescent-activated cell sorting (FACS) and magnetic-activated cell sorting (MACS) require preincubation with antibodies (Ab) and specialized equipment. Cell immunopanning removes the need for preincubation and can be done with no specialized equipment. The majority of the available antibody-mediated analyte capture techniques require a modification to the Abs for binding. In this work, no antibody modification is used because we take advantage of the carbohydrate chain in the Fc region of Ab. We use boronic acid as a cross-linker to bind the Ab to a modified surface. The process allows for functional orientation and cleavable binding of the Ab. In this study, we created an immunoaffinity matrix on polystyrene (PS), an inexpensive and ubiquitous plastic. We observed a 37% increase in Ab binding compared with that of a passive adsorption approach. The method also displayed a more consistent antibody binding with 17 times less variation in Ab loading among replicates than did the passive adsorption approach. Surface topography analysis revealed that a dextran coating reduced nonspecific antibody binding. Elemental analysis (XPS) was used to characterize the surface at different stages and showed that APBA molecules can bind upside-down on the surface. While upside-down antibodies likely remain functional, their elution behavior might differ from those bound in the desired way. Cell capture experiments show that the new surface has 43% better selectivity and 2.4-fold higher capture efficiency compared to a control surface of passively adsorbed Abs. This specific surface chemistry modification will allow the targeted capture of cells or analytes with the option of chemical detachment for further research and characterization.

Feasibility of and reactivity to ecological momentary assessment (EMA) during electronic cigarette use initiation in adults who smoke daily

Background and objectivesThis pilot study tested the feasibility of tracking e-cigarette initiation over three months using a burst-of-measurement approach and examined reactivity to the ecological momentary assessment (EMA) data capture technique in this context. MethodsAdults who smoked daily and were interested in trying e-cigarette use received an e-cigarette starter kit and were randomized to complete EMA reports (n = 30) vs. not (n = 29). Participants (Mage=44.1 years [SD=12.6], 61.0 % male, 54.3 % White, 38.9 % Black/African American) smoked 13.0 cigarettes per day on average (SD=8.4) and reported mild-to-moderate nicotine dependence (MFTND=4.0 [SD=2.3]). Biochemical assessment and surveys were conducted at enrollment, e-cigarette initiation (1 week later), and 1-week, 1-month, and 3-month post e-cigarette initiation. ResultsA subset (17 %) of participants did not achieve the minimum 75 % EMA adherence at Week 1. The remaining participants showed excellent adherence with the EMA protocol, with a consistently high response rate to audibly prompted mini-surveys during screening (93 %) and follow-up weeks (93 %, 93 %, and 92 %, respectively). No consistent trend emerged in comparing the two randomized groups, either on variables relevant to the public health impact of e-cigarette initiation (i.e., cigarettes/day, exposure to smoke, exposure to nicotine, motivation to quit smoking), or in e-cigarette use (i.e., bouts/day, puffs/bout), with average Cohen's d values across timepoints ranging from d = 0.02 for exposure to smoke to d = 0.06 for cigarettes per day. ConclusionsConducting EMA with adults who smoke daily and are initiating e-cigarette use appears feasible, with some caveats. Reactivity to EMA during e-cigarette initiation appears to be small or non-significant.

Advancements and Challenges in 360° Augmented Reality Video Streaming: A Comprehensive Review

As the demand for immersive multimedia experiences continues to grow, 360° augmented reality (AR) video streaming has emerged as a promising technology to deliver interactive and engaging content to users. This review paper provides a comprehensive overview of the current state of 360° AR video streaming, focusing on recent advancements, challenges, and potential future directions. The paper begins by presenting an in-depth exploration of the fundamental concepts and technologies underpinning 360° AR video streaming, including camera capture techniques, video encoding and compression methods, and the integration of augmented reality overlays. Subsequently, it delves into a critical analysis of the existing literature, highlighting key developments in the field. This encompasses advancements in video quality, real-time rendering, and the integration of interactive AR elements within the 360° video environment. Furthermore, the review addresses the challenges and limitations associated with 360° AR video streaming, ranging from bandwidth constraints and latency issues to hardware requirements and user experience considerations. Solutions and strategies proposed in the literature to mitigate these challenges are discussed, providing insights into the ongoing research efforts aimed at enhancing the overall performance and user satisfaction. In addition to technical aspects, the paper explores diverse applications of 360° AR video streaming across various domains, such as entertainment, education, healthcare, and industry. This section highlights successful implementations, innovative use cases, and potential benefits realized in each domain. The review concludes by outlining potential future trends and research directions in the dynamic field of 360° AR video streaming. Anticipated developments in hardware, software, and content creation are discussed, along with their potential impact on the widespread adoption of this technology. By synthesizing and critically examining the existing body of knowledge, this review paper serves as a valuable resource for researchers, practitioners, and industry professionals interested in gaining a comprehensive understanding of the current landscape, challenges, and opportunities in 360° augmented reality video streaming.

Littering Management - Survey on Algorithms

This literature review critically examines the utilization of CCTV cameras and real-time object detection to address the issue of littering from moving vehicles. The paper explores the core objective of identifying waste disposal instances, focusing on sophisticated image processing techniques for accurate license plate details capture. Through the integration of technology, the review discusses how the system detects and documents littering, facilitating the imposition of fines on registered vehicles. The strategic fusion of CCTV cameras and advanced image processing is analyzed for its effectiveness in deterring irresponsible waste disposal and reinforcing anti-littering regulations. The literature review contributes to a comprehensive understanding of this approach's impact on fostering a cleaner and more environmentally conscious urban environment

Detection of kinematic abnormalities in persons with knee osteoarthritis using markerless motion capture during functional movement screen and daily activities.

Background: The functional movement screen (FMS) has been used to identify deficiencies in neuromuscular capabilities and balance among athletes. However, its effectiveness in detecting movement anomalies within the population afflicted by knee osteoarthritis (KOA), particularly through the application of a family-oriented objective assessment technique, remains unexplored. The objective of this study is to investigate the sensitivity of the FMS and daily activities in identifying kinematic abnormalities in KOA people employing a markerless motion capture system. Methods: A total of 45 persons, presenting various Kellgren-Lawrence grades of KOA, along with 15 healthy controls, completed five tasks of the FMS (deep squat, hurdle step, and in-line lunge) and daily activities (walking and sit-to-stand), which were recorded using the markerless motion capture system. The kinematic waveforms and discrete parameters were subjected to comparative analysis. Results: Notably, the FMS exhibited greater sensitivity compared to daily activities, with knee flexion, trunk sagittal, and trunk frontal angles during in-line lunge emerging as the most responsive indicators. Conclusion: The knee flexion, trunk sagittal, and trunk frontal angles during in-line lunge assessed via the markerless motion capture technique hold promise as potential indicators for the objective assessment of KOA.

Chromosome-level genome assembly of Hippophae gyantsensis

Hippophae gyantsensis, which is a native tree species in China, is ideal for windbreak and sand-fixing forests. It is an economically and ecologically valuable tree species distributed exclusively in the Qinghai-Tibet Plateau in China. In our study, we assembled a chromosome-level genome of H. gyantsensis using Illumina sequencing, Nanopore sequencing and chromosome structure capture technique. The genome was 716.32 Mb in size with scaffold N50 length of 64.84 Mb. A total of 716.25 Mb genome data was anchored and orientated onto 12 chromosomes with a mounting rate of up to 99.99%. Additionally, the genome was found to comprise approximately 56.84% repeat sequences, of which long terminal repeats(LTRs) that accounted for 33.19% of the entire genome. Meanwhile, a total of 32,316 protein-coding genes were predicted, and 91.07% of these genes were functionally annotated. We also completed a series of comparative genomic analyses to provide researchers with useful reference material for future studies on seabuckthorn.

Social network analysis as a tool to inform anguillid eel conservation and management

Abstract Eel Management Plans demand European silver eel (Anguilla anguilla) escapement to the sea of at least 40% of that expected historically in the absence of human impacts. Landlocked lentic waterbodies, such as drinking water reservoirs, host substantial numbers of eel, which could represent a significant contribution to catchment-based conservation targets. To optimize netting strategies for eel management policies, information on their aggregation behaviour is currently needed but lacking. We performed a fine-scale acoustic tracking study to monitor the movements of 86 European eel in a UK reservoir. Social network sampling and sensitivity analyses were used to assess whether eel aggregate at scales relevant for current capture techniques. European eel were found to aggregate at spatial and temporal scales of 50 m and 2 days, respectively, which complements current capture methodologies and recommendations. Aggregations were not driven by fixed resources, indicating that other factors, such as sociality, may drive aggregation behaviour. Results also show that current netting practices could be optimized by increasing netting lengths from 50 to 80 m. In addition to aiding conservation and management protocols, these results provide an ecological foundation for exploring the role of social behaviour in this Critically Endangered species.

A marker-less human motion analysis system for motion-based biomarker identification and quantification in knee disorders.

In recent years the healthcare industry has had increased difficulty seeing all low-risk patients, including but not limited to suspected osteoarthritis (OA) patients. To help address the increased waiting lists and shortages of staff, we propose a novel method of automated biomarker identification and quantification for the monitoring of treatment or disease progression through the analysis of clinical motion data captured from a standard RGB video camera. The proposed method allows for the measurement of biomechanics information and analysis of their clinical significance, in both a cheap and sensitive alternative to the traditional motion capture techniques. These methods and results validate the capabilities of standard RGB cameras in clinical environments to capture clinically relevant motion data. Our method focuses on generating 3D human shape and pose from 2D video data via adversarial training in a deep neural network with a self-attention mechanism to encode both spatial and temporal information. Biomarker identification using Principal Component Analysis (PCA) allows the production of representative features from motion data and uses these to generate a clinical report automatically. These new biomarkers can then be used to assess the success of treatment and track the progress of rehabilitation or to monitor the progression of the disease. These methods have been validated with a small clinical study, by administering a local anaesthetic to a small population with knee pain, this allows these new representative biomarkers to be validated as statistically significant (-value ). These significant biomarkers include the cumulative acceleration of elbow flexion/extension in a sit-to-stand, as well as the smoothness of the knee and elbow flexion/extension in both a squat and sit-to-stand.