bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on surface defect detection algorithm of pipeline weld based on YOLOv7
Authors: Xu Xiangqian , Li Xing 
Published: January 2024

AbstractAiming at the problems of low target detection accuracy and high leakage rate of the current traditional weld surface defect detection methods and existing detection models, an improved YOLOv7 pipeline weld surface defect detection model is proposed to improve detection results. In the improved model, a Le-HorBlock module is designed, and it is introduced into the back of fourth CBS module of the backbone network, which preserves the characteristics of high-order information by realizing second-order spatial interaction, thus enhancing the ability of the network to extract features in weld defect images. The coordinate attention (CoordAtt) block is introduced to enhance the representation ability of target features, suppress interference. The CIoU loss function in YOLOv7 network model is replaced by the SIoU, so as to optimize the loss function, reduce the freedom of the loss function, and accelerate convergence. And a new large-scale pipeline weld surface defect dataset containing 2000 images of pipeline welds with weld defects is used in the proposed model. In the experimental comparison, the improved YOLOv7 network model has greatly improved the missed detection rate compared with the original network. The experimental results show that the improved YOLOv7 network model mAP@80.5 can reach 78.6%, which is 15.9% higher than the original model, and the detection effect is better than the original network and other classical target detection networks.
Non-fatal outcomes of COVID-19 disease in pediatric organ transplantation associates with down-regulation of senescence pathways
Authors: Subramanian Kumar , Varghese Rency , Pochedly Molly , Muralidaran Vinona , Yazigi Nada , Kaufman Stuart , Khan Khalid , Vitola Bernadette , Kroemer Alexander , Fishbein Thomas , Ressom Habtom , Ekong Udeme D. 
Published: January 2024

AbstractThis is a cross-sectional study examining kinetics and durability of immune response in children with solid organ transplants (SOTs) who had COVID-19 disease between November 2020 through June 2022, who were followed for 60-days at a single transplant center. Blood was collected between 1–14 (acute infection), and 15–60 days of a positive PCR (convalescence). SOT children with peripheral blood mononuclear cells (PBMC) cryopreserved before 2019 were non-infected controls (ctrls). PBMCs stimulated with 15-mer peptides from spike protein and anti-CD49d/anti-CD28. Testing done included mass cytometry, mi-RNA sequencing with confirmatory qPCR. 38 children formed the study cohort, 10 in the acute phase and 8 in the convalescence phase. 20 subjects were non-infected controls. Two subjects had severe disease. Subjects in the acute and convalescent phases were different subjects. The median age and tacrolimus level at blood draw was not significantly different. There was no death, and no subject was lost to follow-up. During acute infection CD57 expression was low in NKT, Th17 effector memory, memory Treg, CD4−CD8−, and γδT cells (p = 0.01, p = 0.04, p = 0.03, p = 0.03, p = 0.004 respectively). The frequencies of NK and Th2 effector memory cells increased (p = 0.01, p = 0.02) during acute infection. Non-switched memory B and CD8 central memory cell frequencies were decreased during acute infection (p = 0.02; p = 0.02), but the decrease in CD8 central memory cells did not persist. CD4−CD8− and CD14 monocyte frequencies increased during recovery (p = 0.03; p = 0.007). Our observations suggest down regulation of CD57 with absence of NK cell contraction protect against death from COVID-19 disease in children with SOTs.
Biophysical chemistry behind sickle cell anemia and the mechanism of voxelotor action
Authors: Suhail Mohd. 
Published: January 2024

AbstractSickle cell anemia disease has been a great challenge to the world in the present situation. It occurs only due to the polymerization of sickle hemoglobin (HbS) having Pro–Val–Glu typed mutation, while the polymerization does not occur in normal hemoglobin (HbA) having Pro–Glu–Glu peptides. It is also well confirmed that the oxygenated HbS (OHbS) does not participate in the polymerization, while the deoxygenated HbS (dHbS) does, which causes the shape of red blood cells sickled. After polymerization, the blood has a low oxygen affinity. Keeping this fact into consideration, only those drugs are being synthesized that stabilize the OHbS structure so that the polymerization of HbS can be stopped. The literature data showed no systematic description of the changes occurring during the OHbS conversion to dHbS before polymerization. Hence, an innovative reasonable study between HbA and HbS, when they convert into their deoxygenated forms, was done computationally. In this evaluation, physiochemical parameters in HbA/HbS before and after deoxygenation were studied and compared deeply. The computationally collected data was used to understand the abnormal behaviour of dHbS arising due to the replacement of Glu6 with Val6. Consequently, during the presented computational study, the changes occurring in HbS were found opposite/abnormal as compared to HbA after the deoxygenation of both. The mechanism of Voxelotor (GBT-440) action to stop the HbS polymerization was also explained with the help of computationally collected data. Besides, a comparative study between GBT-440 and another suggested drug was also done to know their antisickling strength. Additionally, the effect of pH, CO, CO2, and 2,3-diphosphoglycerate (2,3-DPG) on HbS structure was also studied computationally.
Oculomotor inhibition markers of working memory load
Authors: Kadosh Oren , Inbal Kfir , Snir Hadar , Bonneh Yoram S. 
Published: January 2024

AbstractInvoluntary eye movements occur constantly even during fixation and were shown to convey information about cognitive processes. They are inhibited momentarily in response to external stimuli (oculomotor inhibition, OMI), with a time and magnitude that depend on stimulus saliency, attention, and expectations. It was recently shown that the working memory load for numbers modulates the microsaccade rate; however, the generality of the effect and its temporal properties remain unclear. Our goal was to investigate the relationship between OMI and the working memory load for simple colored shapes. Participants (N = 26) maintained their fixation while their eyes were tracked; they viewed briefly flashed colored shapes accompanied by small arrows indicating the shapes to be memorized (1/2/3). After a retention period, a probe shape appeared for matching. The microsaccade rate modulation and temporal properties were analyzed for the memory encoding, maintenance, and retrieval phases. Microsaccade inhibition was stronger when more shapes were memorized, and performance improved when microsaccades were suppressed during maintenance and retrieval. This occurred even though the physical stimuli were identical in number under all conditions. Thus, oculomotor inhibition may play a role in silencing the visual input while processing current stimuli and is generally related to processing time and load.
Converging synaptic and network dysfunctions in distinct autoimmune encephalitis
Authors: Hunter Daniel , Petit-Pedrol Mar , Fernandes Dominique , Bénac Nathan , Rodrigues Catarina , Kreye Jakob , Ceanga Mihai , Prüss Harald , Geis Christian , Groc Laurent 
Published: January 2024

AbstractPsychiatric and neurological symptoms, as well as cognitive deficits, represent a prominent phenotype associated with variable forms of autoimmune encephalitis, regardless of the neurotransmitter receptor targeted by autoantibodies. The mechanistic underpinnings of these shared major neuropsychiatric symptoms remain however unclear. Here, we investigate the impacts of patient-derived monoclonal autoantibodies against the glutamatergic NMDAR (NMDAR mAb) and inhibitory GABAaR (GABAaR mAb) signalling in the hippocampal network. Unexpectedly, both excitatory and inhibitory synaptic receptor membrane dynamics, content and transmissions are altered by NMDAR or GABAaR mAb, irrespective of the affinity or antagonistic effect of the autoantibodies. The effect of NMDAR mAb on inhibitory synapses and GABAaR mAb on excitatory synapses requires neuronal activity and involves protein kinase signalling. At the cell level, both autoantibodies increase the excitation/inhibition balance of principal cell inputs. Furthermore, NMDAR or GABAaR mAb leads to hyperactivation of hippocampal networks through distinct alterations of principal cell and interneuron properties. Thus, autoantibodies targeting excitatory NMDAR or inhibitory GABAaR trigger convergent network dysfunctions through a combination of shared and distinct mechanisms.
Intercostal Nerve Transfers to Native Triceps or Free Muscle Flaps for Elbow Extension in Brachial Plexus Injuries
Authors: Ferris Scott , Maciburko Simon 
Published: January 2024

AbstractIntercostal nerve donors for traumatic brachial plexus injury reconstruction have been used to neurotize native muscles or free-functioning muscle transfers, with inconsistent outcomes reported. The aim was to record a substantial series, evaluate functional outcomes, and identify prognostic factors. We present a single-surgeon case series of 21 consecutive patients who underwent 21 transfer procedures to either native muscles or free-functioning muscles to reconstruct elbow extension over a 9-year period. Outcome parameters included target muscle power grade and timing of recovery. A Medical Research Council power grade ≥ M4 was achieved in 17 reconstructions. The free-functioning muscle group had significantly higher success rate and reached their best power grade 14 months earlier. Free-functioning muscle reconstruction with intercostal nerve transfer is a more complex procedure but has quicker functional recovery and greater reliability in achieving grade M4.
Cardiac Hemangioma in the Left Ventricular Septum
Authors: Ilcheva Lilly , Cholubek Magdalena , Loiero Dominik , Dzemali Omer 
Published: January 2024

Abstract
Background Primary cardiac tumors are an exceedingly rare benign group of tumors that may remain asymptomatic for a prolonged duration or could lead to significant clinical events.
Case Presentation A 64-year-old female patient underwent echocardiography prior to elective knee surgery due to the presence of palpitations and dyspnea. This revealed the existence of a mass located on the left side of the interventricular septum, which was resected successfully.
Conclusion Surgical resection represents the primary therapeutic approach for the management of cardiac hemangiomas. Failure to perform timely resection may elevate the risk of developing total atrioventricular block and experiencing sudden death.
One hundred years of comparative genetic and physical mapping in cultivated oat (Avena sativa)
Authors: Wight Charlene P. , Blake Victoria C. , Jellen Eric N. , Yao Eric , Sen Taner Z. , Tinker Nicholas A. 
Published: January 2024

Context Researchers have been accumulating information concerning the locations of genes and quantitative trait loci (QTLs) in cultivated oat (Avena sativa L.) for more than 100 years. Aims The aim of this work was to create an inventory of genes and QTLs found in cultivated hexaploid oat and produce tools to make this resource more useful. Methods By using the positions of perfectly matched, single nucleotide polymorphism markers, each centimorgan (cM) location along the consensus map was assigned to a location on the OT3098 v2 physical map found on the GrainGenes database website (https://wheat.pw.usda.gov/jb/?data=/ggds/oat-ot3098v2-pepsico). This information was then used to assign physical locations to the genes and QTLs in the inventory, where possible. Key results A table comparing the major genetic maps of hexaploid oats to each other, to the 2018 oat consensus map, and to physical chromosomes was produced. Genome browser tracks aligning the consensus map regions and the locations of the genes and QTLs to OT3098 v2 were added to GrainGenes. Conclusions Many oat genes and QTLs identified using genetic mapping could be assigned positions on physical oat chromosomes. However, many of these assigned regions are quite long, owing to the presence of large areas of reduced recombination. Specific examples of identified patterns of recombination between the genetic and physical maps and validated gene and QTL locations are discussed. Implications These resources will assist researchers performing comparative genetic and physical mapping in oat.
Static spherically symmetric solutions in new general relativity
Authors: Golovnev Alexey , Semenova A N , Vandeev V P 
Published: January 2024

Abstract
We give a pedagogical introduction to static spherically symmetric solutions in models of New GR, both explaining the basics and showing how all such vacuum solutions can be obtained in elementary functions. In doing so, we coherently introduce the full landscape of these modified teleparallel spacetimes, and find a few special cases. The equations of motion are turned into a very nice and compact form by using the Levi-Civita divergence of the torsion-conjugate; and generalised Bianchi identities are briefly discussed. Another important point we make is that a convenient choice of the radial variable might be instrumental for success of similar studies in other modified gravity models.
Inflation alternative via the gravitational field of a singularity
Authors: Zlotnikov Michael 
Published: January 2024

Abstract
We explore the scenario that the observable Universe emerged from the vicinity of a negative mass ring singularity, and all content of the Universe travels at the same group velocity close to the speed of light on a geodesic trajectory along the axis of rotation of the singularity. In appropriate coordinate parametrization and evaluated on the trajectory, we find that the metric tensor in the vicinity of the trajectory exhibits a conformal scale factor

a
(
η
)

with contraction and subsequent expansion properties that solve the horizon problem. We then introduce a static flow of gravitating radiation along the trajectory (perturbatively with respect to the mass scale of the singularity) to model a homogeneous radiation dominated Universe. Solving the Einstein field equations with a physically motivated ansatz of metric perturbation then reveals that the effective conformal scale factor indeed grows asymptotically with the same power law as expected in a conventional radiation dominated Universe.
A Target-based co-calibration framework for 3DRadar-camera using a modified corner reflector
Authors: Chen Kefeng , Shao Jianhao , Zhang Yuanhui , Liu Kang 
Published: January 2024

Abstract
Most intelligent transportation and autonomous driving systems use the combination of millimeter-wave (MMW) radar and camera to achieve strong perception, and correct extrinsic calibration is a prerequisite for sensor fusion. Most prior calibration methods rely on specific calibration environment, resulting in low calibration efficiency, and are unsuitable for practical scenarios. This paper proposes a progressive and efficient extrinsic calibration method for 3D MMW radar and camera, which only requires testers to walk around the testing range with the calibration target, and the progressive process of extrinsic parameters regression is visualized. The proposed method has been tested on the View-of-Delft dataset and in the real world, and the results show that the method proposed in this paper can converge the calibrated extrinsic parameters quickly and has strong robustness to the noise present during the testing process. Compared to EPNP, LM, P3P (based on RANSAC), and LM (based on RANAC), our proposed calibration method demonstrates a smaller re-projection error and higher accuracy in terms of extrinsic parameters. All results indicate that our calibration method has good accuracy and efficiency for practical calibration scenarios.
High-resolution building extraction based on the edge-aware network CEEAU_Net
Authors: Liu Rui , Zhang Ao , Huang Fenghua , He Guolei , Gou Jinsong , Lei Yuzhu , Wu Lei 
Published: January 2024

Abstract
Spatial information such as building location and distribution plays an important role in urban dynamic monitoring and urban planning applications. In recent years, deep learning methods have developed rapidly and achieved state-of-the-art performance in building extraction from remote sensing images in a variety of scenarios. However, existing semantic segmentation models pay more attention to global semantic information, emphasize multi-scale feature fusion or set lighter acceptance domains to obtain more global features, and ignore low-level detail features such as edges. Therefore, a new end-to-end deep learning network CEEAU_Net based on encoder-decoder architecture is designed to add edge sensing module and edge feature extraction module to obtain edge feature information of buildings. The Luxian county area of Luzhou City, Sichuan province is selected for building dataset production, which is located in the Longmenshan seismic zone, with many earthquakes of magnitude three or above, and the scene is complex, so a more accurate building extraction method is needed. Comparison experiments are also conducted with several advanced models on two public datasets, WHU building dataset (WHU) and Massachusetts. Selection of multiple indicators for indicator evaluation of results. CEEAU_Net achieves the best results in the metrics of overall accuracy, F1-score, Intersection over Union (IoU) and Mean Intersection over Union (MIoU), which suggests that the method proposed in this paper can effectively improve the accuracy of building extraction.
Beam monitor chamber calibration of a synchro-cyclotron high dose rate per pulse pulsed scanned proton beam
Authors: Vidal Marie , Gérard Anaïs , Floquet Vincent , Forthomme Julien , Christensen Jeppe Brage , Almhagen Erik , Grusell Erik , Heymans Vincent , Rossomme Séverine , Dumas Serge , Trimaud Richard , Hérault Joël 
Published: January 2024

Abstract

Objective. Ionization chambers, mostly used for beam calibration and for reference dosimetry, can show high recombination effects in pulsed high dose rate proton beams. The aims of this paper are: first, to characterize the linearity response of newly designed asymmetrical beam monitor chambers (ABMC) in a 100–226 MeV pulsed high dose rate per pulse scanned proton beam; and secondly, to calibrate the ABMC with a PPC05 (IBA Dosimetry) plane parallel ionization chamber and compare to calibration with a home-made Faraday cup (FC). Approach. The ABMC response linearity was evaluated with both the FC and a PTW 60019 microDiamond detector. Regarding ionometry-based ABMC calibration, recombination factors were evaluated theoretically, then numerically, and finally experimentally measured in water for a plane parallel ionization chamber PPC05 (IBA Dosimetry) through k

s
saturation curves. Finally, ABMC calibration was also achieved with FC and compared to the ionometry method for 7 energies. Main results. Linearity measurements showed that recombination losses in the new ABMC design were well taken into account for the whole range of the machine dose rates. The two-voltage-method was not suitable for recombination correction, but Jaffé’s plots analysis was needed, emphasizing the current IAEA TRS-398 reference protocol limitations. Concerning ABMC calibration, FC based absorbed dose estimation and PPC05-based absorbed dose estimation differ by less than 6.3% for the investigated energies. Significance. So far, no update on reference dosimetry protocols is available to estimate the absorbed dose in ionization chambers for clinical high dose rate per pulse pulsed scanned proton beams. This work proposes a validation of the new ABMC design, a method to take into account the recombination effect for ionometry-based ABMC calibration and a comparison with FC dose estimation in this type of proton beams.
Attenuation correction and truncation completion for breast PET/MR imaging using deep learning
Authors: Li Xue , Johnson Jacob M , Strigel Roberta M , Bancroft Leah C Henze , Hurley Samuel A , Estakhraji S Iman Zare , Kumar Manoj , Fowler Amy M , McMillan Alan B 
Published: January 2024

Abstract

Objective. Simultaneous PET/MR scanners combine the high sensitivity of MR imaging with the functional imaging of PET. However, attenuation correction of breast PET/MR imaging is technically challenging. The purpose of this study is to establish a robust attenuation correction algorithm for breast PET/MR images that relies on deep learning (DL) to recreate the missing portions of the patient’s anatomy (truncation completion), as well as to provide bone information for attenuation correction from only the PET data. Approach. Data acquired from 23 female subjects with invasive breast cancer scanned with 18F-fluorodeoxyglucose PET/CT and PET/MR localized to the breast region were used for this study. Three DL models, U-Net with mean absolute error loss (DLMAE) model, U-Net with mean squared error loss (DLMSE) model, and U-Net with perceptual loss (DLPerceptual) model, were trained to predict synthetic CT images (sCT) for PET attenuation correction (AC) given non-attenuation corrected (NAC) PETPET/MR images as inputs. The DL and Dixon-based sCT reconstructed PET images were compared against those reconstructed from CT images by calculating the percent error of the standardized uptake value (SUV) and conducting Wilcoxon signed rank statistical tests. Main results. sCT images from the DLMAE model, the DLMSE model, and the DLPerceptual model were similar in mean absolute error (MAE), peak-signal-to-noise ratio, and normalized cross-correlation. No significant difference in SUV was found between the PET images reconstructed using the DLMSE and DLPerceptual sCTs compared to the reference CT for AC in all tissue regions. All DL methods performed better than the Dixon-based method according to SUV analysis. Significance. A 3D U-Net with MSE or perceptual loss model can be implemented into a reconstruction workflow, and the derived sCT images allow successful truncation completion and attenuation correction for breast PET/MR images.