bluuebunny/crossref_metadata_2025_split huggingface dataset:
AAV production in stable packaging cells requires expression of adenovirus 22/33K protein to allow episomal amplification of integrated rep/cap genes
Authors: Su Weiheng , Seymour Leonard W. , Cawood Ryan 
Published: December 2023

AbstractEfficient manufacture of recombinant adeno-associated virus (rAAV) vectors for gene therapy remains challenging. Packaging cell lines containing stable integration of the AAV rep/cap genes have been explored, however rAAV production needs to be induced using wild-type adenoviruses to promote episomal amplification of the integrated rep/cap genes by mobilizing a cis-acting replication element (CARE). The adenovirus proteins responsible are not fully defined, and using adenovirus during rAAV manufacture leads to contamination of the rAAV preparation. ‘TESSA’ is a helper adenovirus with a self-repressing Major Late Promoter (MLP). Its helper functions enable efficient rAAV manufacture when the rep and cap genes are provided in trans but is unable to support rAAV production from stable packaging cells. Using rAAV-packaging cell line HeLaRC32, we show that expression of the adenovirus L4 22/33K unit is essential for rep/cap amplification but the proteins are titrated away by binding to replicating adenovirus genomes. siRNA-knockdown of the adenovirus DNA polymerase or the use of a thermosensitive TESSA mutant decreased adenovirus genome replication whilst maintaining MLP repression, thereby recovering rep/cap amplification and efficient rAAV manufacture. Our findings have direct implications for engineering more efficient adenovirus helpers and superior rAAV packaging/producer cells.
Hs27 fibroblast response to contact guidance cues
Authors: Kim C. , Robitaille M. , Christodoulides J. , Ng Y. , Raphael M. , Kang W. 
Published: December 2023

AbstractContact guidance is the phenomena of how cells respond to the topography of their external environment. The morphological and dynamic cell responses are strongly influenced by topographic features such as lateral and vertical dimensions, namely, ridge and groove widths and groove depth ($${{\text{R}}}_{{\text{w}}}, {{\text{G}}}_{{\text{w}}},\,\mathrm{and}\,\,{{\text{G}}}_{{\text{D}}}$$

R
w

,

G
w

,

and

G
D

, respectively). However, experimental studies that independently quantify the effect of the individual dimensions as well as their coupling on cellular function are still limited. In this work, we perform extensive parametric studies in the dimensional space—well beyond the previously studied range in the literature—to explore topographical effects on morphology and migration of Hs27 fibroblasts via static and dynamic analyses of live cell images. Our static analysis reveals that the $${{\text{G}}}_{{\text{D}}}$$

G
D

is most significant, followed by the $${{\text{R}}}_{{\text{w}}}$$

R
w

. The fibroblasts appear to be more elongated and aligned in the groove direction as the $${{\text{G}}}_{{\text{D}}}$$

G
D

increases, but their trend changes after 725 nm. Interestingly, the cell shape and alignment show a very strong correlation regardless of $${{\text{G}}}_{{\text{D}}}$$

G
D

. Our dynamic analysis confirms that directional cell migration is also strongly influenced by the $${{\text{G}}}_{{\text{D}}}$$

G
D

, while the effect of the $${{\text{R}}}_{{\text{w}}}$$

R
w

and $${{\text{G}}}_{{\text{w}}}$$

G
w

is statistically insignificant. Directional cell migration, as observed in the static cell behavior, shows the statistically significant transition when the $${{\text{G}}}_{{\text{D}}}$$

G
D

is 725 nm, showing the intimate links between cell morphology and migration. We propose possible scenarios to offer mechanistic explanations of the observed cell behavior.
Significance of headache in intracranial vertebrobasilar artery dissections: an observational study
Authors: Lee Seong-Joon , Lee Jin Soo , Kim Min , Park So Young , Jung Woo Sang , Choi Jin Wook , Lim Yong Cheol , Hong Ji Man 
Published: December 2023

AbstractHeadache may represent acute phase of intracranial vertebrobasilar artery dissection (iVBAD). We aimed to evaluate its clinical significance in iVBAD. Consecutive acute iVBAD patients were grouped into ruptured iVBAD, unruptured iVBAD with no headache, isolated headache, or concurrent headache with neurological symptoms. Composite hemorrhagic/ischemic endpoints, and dynamic arterial changes were graded. Clinical characteristics of the four groups, and association between headache and composite outcomes was evaluated. Headaches were precedent in 79% of the ruptured iVBAD patients (maximal delay, 10D). In unruptured iVBAD, when patients with no headache (N = 69), concurrent headache (N = 111), and isolated headache (N = 126) were compared, concurrent headache was associated with ischemic endpoints (isolated headache as reference, adjusted odds ratio: 6.40, 95% confidence interval [2.03–20.19]). While there were no differences in hemorrhagic endpoints, dynamic arterial changes were higher in the isolated headache group (aOR: 3.98, 95% CI [1.72–9.18]) but not for the concurrent headache group (aOR: 1.59 [0.75–3.38]) compared to no headache group. Headache was more commonly severe (48.4% vs. 17.3%, p < 0.001) and ipsilateral (59.7% vs. 45.5%, p = 0.03) for isolated headache compared to concurrent headache, indicating a higher causal relationship. In iVBAD, isolated headache may be considered an acute-phase biomarker, associated with dynamic arterial changes.
Evaluation of L6 augmentation signal reception characteristics and positioning accuracy of compact and lightweight GNSS antennas
Authors: Suzuki Taro 
Published: December 2023

AbstractApplications requiring outdoor position estimation, such as unmanned construction and delivery automation, focus on receiving global navigation satellite system (GNSS) correction information from satellites for high-precision positioning. In particular, the delivery of correction information for the Galileo high-accuracy service (HAS) and quasi-zenith satellite system (QZSS) centimeter-level augmentation service (CLAS) is based on a new frequency band called L6. The L6 signal is a new type of GNSS signal, and a GNSS antenna corresponding to the frequency of the L6 signal (1275.46 MHz) is required to receive and decode the correction messages. The reception characteristics of the L6 signal are important for receiving correction information. However, the reception performance of antennas supporting the new L6 signal has not been evaluated. Therefore, in this study, we evaluate the reception characteristics of the L6 signal of a compact and lightweight L6-compatible antenna, and the multipath characteristics, which are the fundamental performance of the antenna that affects high-precision positioning. In a 24-hour static test, each antenna’s signal reception performance and multipath characteristics were evaluated, and significant differences were found in performance among the antennas capable of receiving the L6 signal. Furthermore, in a kinematic test, we evaluated high-accuracy positioning using QZSS CLAS with multiple antennas and showed that centimeter-level positioning using L6 augmentation signals is possible even with compact and lightweight GNSS antennas. These evaluations provide guidelines for antenna selection when high-precision positioning using L6 signals is employed in various applications.
Isolation, identification and pathogenicity of local entomopathogenic bacteria as biological control agents against the wild cochineal Dactylopius opuntiae (Cockerell) on cactus pear in Morocco
Authors: El Fakhouri Karim , Ramdani Chaimae , Aasfar Abderrahim , Boulamtat Rachid , Sijilmassi Badreddine , El Bouhssini Mustapha , Kadmiri Issam Meftah 
Published: December 2023

AbstractThe Opuntia ficus-indica (L.) cactus, a crucial crop in Morocco, is threatened by the wild cochineal, Dactylopius opuntiae (Cockerell). The aim of this research was to investigate the efficacy of nine bacterial strains against both D. opuntiae nymphs and adults females applied individually or after black soap in the laboratory, greenhouse, and field conditions. Using the partial 16S ribosomal DNA, the bacterial isolates were identified as Pseudomonas koreensis, Pseudomonas sp., Burkholderia sp. and Bacillus sp. Under laboratory conditions, the insecticidal activity of P. koreensis strain 66Ms.04 showed the level mortality (88%) of adult females’ at 108 CFU/mL, 7 days after application. At a concentration of 108 CFU/mL, P. koreensis strain 66Ms.04 and Pseudomonas sp. (strains 37 and 5) caused 100% nymphs mortality rate three days after application. Under greenhouse conditions, the use of P. koreensis strain 66Ms.04 at 108 CFU/mL following the application of black soap (60 g/L) demonstrated the maximum levels of females and nymphs’ mortalities with 80 and 91.25%, respectively, after 8 days of treatment. In field conditions, the combined application of the P. koreensis strain 66Ms.04 at 108 CFU/mL with black soap at 60 g/L, for an interval of 7 days, significantly increased the mortality of adult females to 93.33% at 7 days after the second application. These findings showed that the combined treatment of P. koreensis strain 66Ms.04 with black soap can be a potent and eco-friendly pesticide against D. opuntiae.
Review on microgrids design and monitoring approaches for sustainable green energy networks
Authors: Ahmed Ijaz , Rehan Muhammad , Basit Abdul , Ahmad Hasnain , Ahmed Waqas , Ullah Nasim , Piecha Marian , Blazek Vojtech , Prokop Lukas 
Published: December 2023

AbstractMicrogrids are power distribution systems that can operate either in a grid-connected configuration or in an islanded manner, depending on the availability of decentralized power resources, such as sustainable or non-sustainable power sources, battery backup systems, and power demands. The extensive adoption of inverter-based systems poses numerous technological challenges, necessitating a centralized management system to assure the system reliability and monitoring of the energy delivery networks. Thus, this research begins by highlighting these significant obstacles and then analyzes the present-day advances in multilevel control architecture for delivering on promised functionality. This article also discusses the development of innovative control technologies, such as introducing collaborative distributed approaches and reducing conventional three-stage patriarchal administration to fewer stages of system integration and functioning.
Resource efficient aortic distensibility calculation by end to end spatiotemporal learning of aortic lumen from multicentre multivendor multidisease CMR images
Authors: Bohoran Tuan Aqeel , Parke Kelly S. , Graham-Brown Matthew P. M. , Meisuria Mitul , Singh Anvesha , Wormleighton Joanne , Adlam David , Gopalan Deepa , Davies Melanie J. , Williams Bryan , Brown Morris , McCann Gerry P. , Giannakidis Archontis 
Published: December 2023

AbstractAortic distensibility (AD) is important for the prognosis of multiple cardiovascular diseases. We propose a novel resource-efficient deep learning (DL) model, inspired by the bi-directional ConvLSTM U-Net with densely connected convolutions, to perform end-to-end hierarchical learning of the aorta from cine cardiovascular MRI towards streamlining AD quantification. Unlike current DL aortic segmentation approaches, our pipeline: (i) performs simultaneous spatio-temporal learning of the video input, (ii) combines the feature maps from the encoder and decoder using non-linear functions, and (iii) takes into account the high class imbalance. By using multi-centre multi-vendor data from a highly heterogeneous patient cohort, we demonstrate that the proposed method outperforms the state-of-the-art method in terms of accuracy and at the same time it consumes $$\sim$$
∼
3.9 times less fuel and generates $$\sim$$
∼
2.8 less carbon emissions. Our model could provide a valuable tool for exploring genome-wide associations of the AD with the cognitive performance in large-scale biomedical databases. By making energy usage and carbon emissions explicit, the presented work aligns with efforts to keep DL’s energy requirements and carbon cost in check. The improved resource efficiency of our pipeline might open up the more systematic DL-powered evaluation of the MRI-derived aortic stiffness.
A visual positioning model for UAV’s patrolling video sequence images based on DOM rectification
Authors: Liu Haojie , Fan Wei , Wu Di 
Published: December 2023

AbstractWith technological development of multi sensors, UAV (unmanned aerial vehicle) can identify and locate key targets in essential monitoring areas or geological disaster-prone areas by taking video sequence images, and precise positioning of the video sequence images is constantly a matter of great concern. In recent years, precise positioning of aerial images has been widely studied. But it is still a challenge to simultaneously realize precise, robust and dynamic positioning of UAV’s patrolling video sequence images in real time. In order to solve this problem, a visual positioning model for patrolling video sequence images based on DOM rectification is proposed, including a robust block-matching algorithm and a precise polynomial-rectifying algorithm. First, the robust block-matching algorithm is used to obtain the best matching area for UAV’s video sequence image on DOM (Digital Orthophoto Map), a pre-acquired digital orthophoto map covering the whole UAV’s patrolling region. Second, the precise polynomial-rectifying algorithm is used to calculate accurate rectification parameters of mapping UAV’s video sequence image to the best matching area obtained above, and then real time positioning of UAV’s patrolling video sequence images can be realized. Finally, the above two algorithms are analyzed and verified by three practical experiments, and results indicate that even if spatial resolution, surface specific features, illumination condition and topographic relief are significantly different between DOM and UAV’s patrolling video sequence images, proposed algorithms can still steadily realize positioning of each UAV’s patrolling video sequence image with about 2.5 m level accuracy in 1 s. To some extent, this study has improved precise positioning effects of UAV’s patrolling video sequence images in real time, and the proposed mathematical model can be directly incorporated into UAV’s patrolling system without any hardware overhead.
Diagnosing lagophthalmos using artificial intelligence
Authors: Knoedler Leonard , Alfertshofer Michael , Simon Siddharth , Prantl Lukas , Kehrer Andreas , Hoch Cosima C. , Knoedler Samuel , Lamby Philipp 
Published: December 2023

AbstractLagophthalmos is the incomplete closure of the eyelids posing the risk of corneal ulceration and blindness. Lagophthalmos is a common symptom of various pathologies. We aimed to program a convolutional neural network to automatize lagophthalmos diagnosis. From June 2019 to May 2021, prospective data acquisition was performed on 30 patients seen at the Department of Plastic, Hand, and Reconstructive Surgery at the University Hospital Regensburg, Germany (IRB reference number: 20-2081-101). In addition, comparative data were gathered from 10 healthy patients as the control group. The training set comprised 826 images, while the validation and testing sets consisted of 91 patient images each. Validation accuracy was 97.8% over the span of 64 epochs. The model was trained for 17.3 min. For training and validation, an average loss of 0.304 and 0.358 and a final loss of 0.276 and 0.157 were noted. The testing accuracy was observed to be 93.41% with a loss of 0.221. This study proposes a novel application for rapid and reliable lagophthalmos diagnosis. Our CNN-based approach combines effective anti-overfitting strategies, short training times, and high accuracy levels. Ultimately, this tool carries high translational potential to facilitate the physician’s workflow and improve overall lagophthalmos patient care.
Data analysis on the three defect wavelengths of a MoS2-based defective photonic crystal using machine learning
Authors: Ansari Narges , Sohrabi Atieh , Mirbaghestan Kimia , Hashemi Mahdieh 
Published: December 2023

AbstractTo reduce the dimension of optoelectronic devices, recently, Molybdenum disulfide (MoS2) monolayers with direct bandgap in the visible range are widely used in designing a variety of photonic devices. In these applications, adjustability of the working wavelength and bandwidth with optimum absorption value plays an important role. This work proposes a symmetric defective photonic crystal with three defects containing MoS2 monolayer to achieve triple narrowband defect modes with wavelength adjustability throughout the Photonic Band Gap (PBG) region, 560 to 680 nm. Within one of our designs remarkable FWHM approximately equal to 5 nm with absorption values higher than 90% for the first and third defect modes are achieved. The impacts of varying structural parameters on absorption value and wavelength of defect modes are investigated. Due to the multiplicity of structural parameters which results in data plurality, the optical properties of the structure are also predicted by machine learning techniques to assort the achieved data. Multiple Linear Regression (MLR) modeling is used to predict the absorption and wavelength of defect modes for four datasets based on various permutations of structural variables. The machine learning modeling results are highly accurate due to the obtained R2-score and cross-validation score values higher than 90%.
Deep learning-based image classification of turtles imported into Korea
Authors: Baek Jong-Won , Kim Jung-Il , Kim Chang-Bae 
Published: December 2023

AbstractAlthough turtles play a key role in maintaining healthy and balanced environments, these are endangered due to global trade to meet the high demand for food, medicine, and pets in Asia. In addition, imported non-native turtles have been controlled as alien invasive species in various countries, including Korea. Therefore, a rapid and accurate classification of imported turtles is needed to conserve and detect those in native ecosystems. In this study, eight Single Shot MultiBox Detector (SSD) models using different backbone networks were used to classify 36 imported turtles in Korea. The images of these species were collected from Google and were identified using morphological features. Then, these were divided into 70% for training, 15% for validation, and 15% for test sets. In addition, data augmentation was applied to the training set to prevent overfitting. Among the eight models, the Resnet18 model showed the highest mean Average Precision (mAP) at 88.1% and the fastest inference time at 0.024 s. The average correct classification rate of 36 turtles in this model was 82.8%. The results of this study could help in management of the turtle trade, specifically in improving detection of alien invasive species in the wild.
The effect of mindfulness meditation on dental anxiety during implant surgery: a randomized controlled clinical trial
Authors: Turer Onur Ucak , Ozcan Mustafa , Alkaya Bahar , Demirbilek Furkan , Alpay Nilgun , Daglioglu Gulcin , Seydaoglu Gulsah , Haytac M. Cenk 
Published: December 2023

AbstractDental implant surgery is almost always associated with patient anxiety. Anxiety during dental surgical procedures triggers an increase in sympathetic activity. Mindfulness meditation (MM) is often associated with high levels of relaxation in the form of increased parasympathetic tone and decreased sympathetic activity. However, the effect of MM on dental anxiety is not clear. The current study aimed to show the effects of a MM as a sedative technique during dental implant surgery by examining the State-Trait Anxiety Inventory (STAI-S), bispectral index (BIS), cortisol levels (CL), systolic (SBP) and diastolic blood pressure (DBP), heart rate (HR) and saturation (SpO2) parameters. HR, SBP, DBP, SpO2, BIS score and CLs were compared at the baseline, immediately before-, during-, and immediately after surgery between the test and control groups. We found that the MM resulted in significant decrease in BIS together with positive effects on hemodynamic parameters (decrease of HR, SBP, DBP and increase of SpO2), psychological findings (improvement on STAI-S scores) and biochemical outcomes (decreased CL). In conclusion, the results demonstrate that MM appeared to be a reliable strategy for managing stress during dental implant operation with benefits in psychological, physiological and biochemical outcomes.
A machine learning approach toward automating spatial identification of LAG3+/CD3+ cells in ulcerative colitis
Authors: Bonnevie Edward D. , Dobrzynski Eric , Steiner Dylan , Hildebrand Deon , Monslow James , Singh Mohan , Decman Vilma , Krull David L. 
Published: December 2023

AbstractOver the past decade, automation of digital image analysis has become commonplace in both research and clinical settings. Spurred by recent advances in artificial intelligence and machine learning (AI/ML), tissue sub-compartments and cellular phenotypes within those compartments can be identified with higher throughput and accuracy than ever before. Recently, immune checkpoints have emerged as potential targets for auto-immune diseases. As such, spatial identification of these proteins along with immune cell markers (e.g., CD3+/LAG3+ T-cells) is a crucial step in understanding the potential and/or efficacy of such treatments. Here, we describe a semi-automated imaging and analysis pipeline that identifies CD3+/LAG3+ cells in colorectal tissue sub-compartments. While chromogenic staining has been a clinical mainstay and the resulting brightfield images have been utilized in AI/ML approaches in the past, there are associated drawbacks in phenotyping algorithms that can be overcome by fluorescence imaging. To address these tradeoffs, we developed an analysis pipeline combining the strengths of brightfield and fluorescence images. In this assay, immunofluorescence imaging was conducted to identify phenotypes followed by coverslip removal and hematoxylin and eosin staining of the same section to inform an AI/ML tissue segmentation algorithm. This assay proved to be robust in both tissue segmentation and phenotyping, was compatible with automated workflows, and revealed presence of LAG3+ T-cells in ulcerative colitis biopsies with spatial context preserved.