Miracle-dz/UniFAR-FTUs huggingface dataset:
Sparse R-CNN: An End-to-End Framework for Object Detection

Object detection serves as one of most fundamental computer vision tasks. Existing works on object detection heavily rely on dense object candidates, such as <inline-formula><tex-math notation="LaTeX">$k$</tex-math><alternatives><mml:math><mml:mi>k</mml:mi></mml:math><inline-graphic xlink:href="sun-ieq1-3292030.gif"/></alternatives></inline-formula> anchor boxes pre-defined on all grids of an image feature map of size <inline-formula><tex-math notation="LaTeX">$H\times W$</tex-math><alternatives><mml:math><mml:mrow><mml:mi>H</mml:mi><mml:mo>×</mml:mo><mml:mi>W</mml:mi></mml:mrow></mml:math><inline-graphic xlink:href="sun-ieq2-3292030.gif"/></alternatives></inline-formula>. In this paper, we present Sparse R-CNN, a very simple and sparse method for object detection in images. In our method, a fixed sparse set of learned object proposals (<inline-formula><tex-math notation="LaTeX">$ N$</tex-math><alternatives><mml:math><mml:mi>N</mml:mi></mml:math><inline-graphic xlink:href="sun-ieq3-3292030.gif"/></alternatives></inline-formula> in total) are provided to the object recognition head to perform classification and localization. By replacing <inline-formula><tex-math notation="LaTeX">$HWk$</tex-math><alternatives><mml:math><mml:mrow><mml:mi>H</mml:mi><mml:mi>W</mml:mi><mml:mi>k</mml:mi></mml:mrow></mml:math><inline-graphic xlink:href="sun-ieq4-3292030.gif"/></alternatives></inline-formula> (up to hundreds of thousands) hand-designed object candidates with <inline-formula><tex-math notation="LaTeX">$N$</tex-math><alternatives><mml:math><mml:mi>N</mml:mi></mml:math><inline-graphic xlink:href="sun-ieq5-3292030.gif"/></alternatives></inline-formula> (e.g., 100) learnable proposals, Sparse R-CNN makes all efforts related to object candidates design and one-to-many label assignment completely obsolete. More importantly, Sparse R-CNN directly outputs predictions without the non-maximum suppression (NMS) post-processing procedure. Thus, it establishes an end-to-end object detection framework. Sparse R-CNN demonstrates highly competitive accuracy, run-time and training convergence performance with the well-established detector baselines on the challenging COCO dataset and CrowdHuman dataset. We hope that our work can inspire re-thinking the convention of dense prior in object detectors and designing new high-performance detectors.
An Evolution Equation which describes Random Deformation of a Surface derived by a Variational Principle of Continuum Mechanics

The author generalizes the cloth simulation methods about 3DCG animation based on the mathematically rigorous formulation. The motion of the general dimensional surface (manifold) is simulated by the Newtonian equation which is derived for the continuum surface model ( not f01 the discrete approximation model ) based on the variational principles. This Newtonian equation become a feedback system. If suitable stochastic process is set as the goal trajectory of the feedback system ， we can generate virtual interesting 3DCG animations of the surface motions.
Polyglycerol‐Based Biomedical Matrix for Immunomagnetic Circulating Tumor Cell Isolation and Their Expansion into Tumor Spheroids for Drug Screening

Circulating tumor cells (CTCs) are established as distinct cancer biomarkers for diagnosis, as preclinical models, and therapeutic targets. Their use as preclinical models is limited owing to low purity after isolation and the lack of effective techniques to create 3D cultures that accurately mimic in vivo conditions. Herein, a two‐component system for detecting, isolating, and expanding CTCs to generate multicellular tumor spheroids that mimic the physiology and microenvironment of the diseased organ is proposed. First, an antifouling biointerface on magnetic beads is fabricated by adding a bioinert polymer layer and conjugation of biospecific ligands to isolate cancer cells, dramatically enhancing the selectivity and purity of the isolated cancer cells. Next, the isolated cells are encapsulated into self‐degradable hydrogels synthesized using a thiol‐click approach. The hydrogels are mechanochemically tuned to enable tumor spheroid growth to a size greater than 300 µm and to further release the grown spheroids while retaining their tumor‐like characteristics. In addition, drug treatment highlights the need for 3D culture environments rather than conventional 2D culture. The designed biomedical matrix shows potential as a universal method to ensure mimicry of in vivo tumor characteristics in individual patients and to improve the predictability of preclinical screening of personalized therapeutics.
Lenstar LS900 vs EchoScan US-800: comparison between optical and ultrasound biometry with and without contact lenses and its relationship with other biometric parameters

ABSTRACT Background Due to the increasing use of contact lenses (CL) and the interest in ocular and body size relationships, this study aimed to compare measurements from two biometers (contact ultrasonic EchoScan US-800 and non-contact optical Lenstar LS900) with and without CL and to explore the relationship between ocular and body biometric parameters. Design and Methods This cross-sectional study measured ocular biometry using two biometers along with their body height and right foot length in 50 participants. Differences between biometry data from the two devices were compared and correlations between ocular and body biometric values were analyzed. Results All parameters showed interbiometric differences (p ≤ 0.030), except crystalline lens thickness during CL wear (p = 0.159). Comparing measurements with and without CL, differences were observed in axial length (p < 0.001), vitreous length measured by optical biometer (p = 0.016), and anterior chamber depth by ultrasonic biometer (p < 0.016). Lens thickness remained unaffected (p ≥ 0.190). Body height and foot length were correlated with anterior chamber depth, vitreous length, and axial length (p ≤ 0.019, r ≥ 0.330). Most biometric parameters were correlated among them using both devices (p ≤ 0.037, r ≥ 0.296). Conclusions These biometers are not interchangeable and CL affects measurements. Body height and foot length correlate with ocular dimensions, and most ocular biometric values correlate positively.
Image based surface reflectance remapping for consistent and tool independent material appearence

Physically-based rendering in Computer Graphics requires the knowledge of material properties other than 3D shapes, textures and colors, in order to solve the rendering equation. A number of material models have been developed, since no model is currently able to reproduce the full range of available materials. Although only few material models have been widely adopted in current rendering systems, the lack of standardisation causes several issues in the 3D modelling workflow, leading to a heavy tool dependency of material appearance. In industry, final decisions about products are often based on a virtual prototype, a crucial step for the production pipeline, usually developed by a collaborations among several departments, which exchange data. Unfortunately, exchanged data often tends to differ from the original, when imported into a different application. As a result, delivering consistent visual results requires time, labour and computational cost. This thesis begins with an examination of the current state of the art in material appearance representation and capture, in order to identify a suitable strategy to tackle material appearance consistency. Automatic solutions to this problem are suggested in this work, accounting for the constraints of real-world scenarios, where the only available information is a reference rendering and the renderer used to obtain it, with no access to the implementation of the shaders. In particular, two image-based frameworks are proposed, working under these constraints. The first one, validated by means of perceptual studies, is aimed to the remapping of BRDF parameters and useful when the parameters used for the reference rendering are available. The second one provides consistent material appearance across different renderers, even when the parameters used for the reference are unknown. It allows the selection of an arbitrary reference rendering tool, and manipulates the output of other renderers in order to be consistent with the reference.
Chelerythrine chloride inhibits the progression of colorectal cancer by targeting cancer‐associated fibroblasts through intervention with WNT10B/β‐catenin and TGFβ2/Smad2/3 axis

Chelerythrine chloride (CHE) is a benzodiazepine alkaloid derived from natural herbs with significant anti‐tumor and anti‐inflammatory activities. However, the exact role and underlying mechanisms of CHE in colorectal cancer (CRC) remain unclear. Therefore, this study is aimed to investigate the influence of CHE on the progression of CRC. Cell Counting Kit‐8 assay (CCK‐8), transwell, apoptosis rate, cell cycle distribution, reactive oxygen species (ROS), and colony formation determined the anti‐proliferative activity of CHE in CRC cell lines. Transcriptome sequencing and western blot were used to explore the mechanism. Finally, H&E staining, Ki67, TUNEL, and immunofluorescence were conducted to verify the anti‐CRC activity and potential mechanisms of CHE in vivo. CHE had a prominent inhibitory effect on the proliferation of CRC cells. CHE induces G1 and S phase arrest and induces cell apoptosis by ROS accumulation. Cancer‐associated fibroblasts (CAFs) play a key role in CRC metastasis. Then, this study found that CHE regulates WNT10B/β‐catenin and TGFβ2/Smad2/3 axis, thereby decreasing the expression of α‐SMA, which is a maker of CAFs. Taken together, CHE is a candidate drug and a potent compound for metastatic CRC, which can intervene CAFs in a dual pathway to effectively inhibit the invasion and migration of cancer cells, which can provide a new choice for future clinical treatment.
Comprehensive evaluation and new recommendations in the use of Gafchromic EBT3 film.

BACKGROUND Gafchromic film's unique properties of tissue-equivalence, dose-rate independence, and high spatial resolution make it an attractive choice for many dosimetric applications. However, complicated calibration processes and film handling limits its routine use. PURPOSE We evaluated the performance of Gafchromic EBT3 film after irradiation under a variety of measurement conditions to identify aspects of film handling and analysis for simplified but robust film dosimetry. METHODS The short- (from 5 min to 100 h) and long-term (months) film response was evaluated for clinically relevant doses of up to 50 Gy for accuracy in dose determination and relative dose distributions. The dependence of film response on film-read delay, film batch, scanner type, and beam energy was determined. RESULTS Scanning the film within a 4-h window and using a standard 24-h calibration curve introduced a maximum error of 2% over a dose range of 1-40 Gy, with lower doses showing higher uncertainty in dose determination. Relative dose measurements demonstrated <1 mm difference in electron beam parameters such as depth of 50% of the maximum dose value (R50 ), independent of when the film was scanned after irradiation or the type of calibration curve used (batch-specific or time-specific calibration curve) if the same default scanner was used. Analysis of films exposed over a 5-year period showed that using the red channel led to the lowest variation in the measured net optical density values for different film batches, with doses >10 Gy having the lowest coefficient of variation (<1.7%). Using scanners of similar design produced netOD values within 3% after exposure to doses of 1-40 Gy. CONCLUSIONS This is the first comprehensive evaluation of the temporal and batch dependence of Gafchromic EBT3 film evaluated on consolidated data over 8 years. The relative dosimetric measurements were insensitive to the type of calibration applied (batch- or time-specific) and in-depth time-dependent dosimetric signal behaviors can be established for film scanned outside of the recommended 16-24 h post-irradiation window. We generated guidelines based on our findings to simplify film handling and analysis and provide tabulated dose- and time-dependent correction factors to achieve this without reducing the accuracy of dose determination.
Early Six-Minute Walk Test May Predict Midterm Outcomes Following Coronary Artery Bypass Grafting

Objective This study aims to investigate the ability of the six-minute walk distance (6MWD) as a prognostic marker for midterm clinical outcomes three months after coronary artery bypass grafting (CABG), to identify possible predictors of fall in 6MWD in the early postoperative period, and to establish the percentage fall in early postoperative 6MWD, considering the preoperative baseline as 100%. Methods A prospective cohort of patients undergoing elective CABG were included. The percentage fall in 6MWD was assessed by the difference between preoperative and postoperative day (POD) five. Clinical outcomes were evaluated three months after hospital discharge. Results There was a significant decrease in 6MWD on POD5 compared with preoperative baseline values (percentage fall of 32.5±16.5%, P<0.0001). Linear regression analysis showed an independent association of the percentage fall of 6MWD with cardiopulmonary bypass (CPB) and preoperative inspiratory muscle strength. Receiver operating characteristic curve analysis revealed that the best cutoff value of percentage fall in 6MWD to predict poorer clinical outcomes at three months was 34.6% (area under the curve = 0.82, sensitivity = 78.95%, specificity = 76.19%, P=0.0001). Conclusion This study indicates that a cutoff value of 34.6% in percentage fall of 6MWD on POD5 was able to predict poorer clinical outcomes at three months of follow-up after CABG. Use of CPB and preoperative inspiratory muscle strength were independent predictors of percentage fall of 6MWD in the postoperative period. These findings further support the clinical application of 6MWD and propose an inpatient preventive strategy to guide clinical management over time.
Acceptability of a Multimodal Telerehabilitation Intervention for Children Ages 3–8 Years with Motor Difficulties: Results of a Qualitative Study

ABSTRACT Purpose The purpose of this study is to explore the acceptability of a telerehabilitation intervention provided to parents of children with motor difficulties. Material and methods Sixteen parents of children were purposefully recruited to participate in semi-structured interviews aimed at assessing the acceptability of the telerehabilitation intervention. Interviews were analyzed thematically. Results All participants described evolving acceptability associated with their interactions with the web platform. The opportunities generated, suitability in relation to families’ values and perceived effects positively impacted acceptability. The understanding and consistency of intervention delivery, the child’s level of involvement, the associated parental burden of the intervention and the therapeutic alliances created also affected acceptability. Conclusion Our study findings support the acceptability of a telerehabilitation intervention for families of children with motor difficulties. Telerehabilitation seems to be more acceptable to families with children without suspected or confirmed diagnoses.
(Pre)treatment risk factors for late fatigue and fatigue trajectories following radiotherapy for breast cancer

Fatigue is common in breast‐cancer survivors. Our study assessed fatigue longitudinally in breast cancer patients receiving adjuvant radiotherapy (RT) and aimed to identify risk factors associated with long‐term fatigue and underlying fatigue trajectories. Fatigue was measured in a prospective multicenter cohort (REQUITE) using the Multidimensional Fatigue Inventory (MFI‐20) and analyzed using mixed models. Multivariable logistic models identified factors associated with fatigue dimensions at 2 years post‐RT and latent class growth analysis identified individual fatigue trajectories. A total of 1443, 1302, 1203 and 1098 patients completed the MFI‐20 at baseline, end of RT, after 1 and 2 years. Overall, levels of fatigue significantly increased from baseline to end of RT for all fatigue dimensions (P < .05) and returned to baseline levels after 2 years. A quarter of patients were assigned to latent trajectory high (23.7%) and moderate (24.8%) fatigue classes, while 46.3% and 5.2% to the low and decreasing fatigue classes, respectively. Factors associated with multiple fatigue dimensions at 2 years include age, BMI, global health status, insomnia, pain, dyspnea and depression. Fatigue present at baseline was consistently associated with all five MFI‐20 fatigue dimensions (ORGeneralFatigue = 3.81, P < .001). From latent trajectory analysis, patients with a combination of factors such as pain, insomnia, depression, younger age and endocrine therapy had a particularly high risk of developing early and persistent high fatigue years after treatment. Our results confirmed the multidimensional nature of fatigue and will help clinicians identify breast cancer patients at higher risk of having persistent/late fatigue so that tailored interventions can be delivered.
Global Fuzzy C-Means with Kernels

Fuzzy c-means (FCM) is a simple but powerful clustering method using the concept of fuzzy sets that have been proved to be useful in many areas. There are, however, several well-known problems with FCM, such as sensitivity to initialization, sensitivity to outliers, and limitation to convex clusters. In this paper, a new clustering method, which is an extension of global fuzzy c-means (G-FCM) and kernel fuzzy cmeans (K-FCM), is proposed to resolve the shortcomings mentioned above. G-FCM is a variant of FCM that uses an incremental seed selection method and is effective in alleviating the sensitivity to initialization. There are several approaches to reduce the influence of noise and properly partition non-convex clusters and K-FCM is one of them. K-FCM is used in this paper because it can easily be extended with different kernels, which provide sufficient flexibility to allow for resolution of the shortcomings of FCM. By combining G-FCM and K-FCM, the proposed method, kernelized global FCM (KG-FCM), can resolve the shortcomings mentioned above. The usefulness of KG-FCM is demonstrated by experiments using artificial and real world data sets. Keywords— Fuzzy C-Means; Global Initialization; Kernel Method; Non-Convex Cluster; Noise Robustness
Experimental and Coupled-channels Investigation of the Radiative Properties of the N2 c4 (sup 1)Sigma+(sub u) - X (sup 1)Sigma+(sub g) Band System

The emission properties of the N2 c(sup prime)(sub 4) (sup 1)Sigma+(sub u) - Chi (sup 1)Sigma+(sub g) band system have been investigated in a joint experimental and coupled-channels theoretical study. Relative intensities of the c(sup prime)(sub 4) (sup 1)Sigma+(sub u)(0) - Chi (sup 1)Sigma+(sub g)(v(sub i)) transitions, measured via electron-impact-induced emission spectroscopy, are combined with a coupled-channel Schroedinger equation (CSE) model of the N2 molecule, enabling determination of the diabatic electronic transition moment for the c(sup prime)(sub 4) (sup 1)Sigma+(sub u) - Chi (sup 1)Sigma+(sub g) system as a function of internuclear distance. The CSE probabilities are further verified by comparison with a high-resolution experimental spectrum. Spontaneous transition probabilities of the c(sup prime)(sub 4) (sup 1)Sigma+(sub u) - Chi (sup 1)Sigma+(sub g) modeling atmospheric emission, can now be calculated reliably.
LEVELNET to visualize, explore, and compare protein–protein interaction networks

Physical interactions between proteins are central to all biological processes. Yet, the current knowledge of who interacts with whom in the cell and in what manner relies on partial, noisy, and highly heterogeneous data. Thus, there is a need for methods comprehensively describing and organizing such data. LEVELNET is a versatile and interactive tool for visualizing, exploring, and comparing protein–protein interaction (PPI) networks inferred from different types of evidence. LEVELNET helps to break down the complexity of PPI networks by representing them as multi‐layered graphs and by facilitating the direct comparison of their subnetworks toward biological interpretation. It focuses primarily on the protein chains whose 3D structures are available in the Protein Data Bank. We showcase some potential applications, such as investigating the structural evidence supporting PPIs associated to specific biological processes, assessing the co‐localization of interaction partners, comparing the PPI networks obtained through computational experiments versus homology transfer, and creating PPI benchmarks with desired properties.
Positron emission tomography‐adapted therapy in low‐risk diffuse large B‐cell lymphoma: results of a randomized, phase III, non‐inferiority trial

The current standard of care for non‐bulky diffuse large B‐cell lymphoma (DLBCL) patients with an International Prognostic Index (IPI) of 0 is four cycles of rituximab plus cyclophosphamide, doxorubicin, vincristine and prednisone (R‐CHOP) but whether the same efficacy can be achieved with reduced chemotherapy regimen of four cycles for non‐bulky DLBCL patients with an IPI of 1 remains unclear. This study compared four cycles versus six cycles of chemotherapy in non‐bulky low‐risk DLBCL patients with negative interim positron emission tomography with computed tomography (PET‐CT, Deauville 1‐3), irrespective of age and other IPI risk factors (IPI 0‐1).
Morphology of middle cerebral artery using computed tomography angiographic study in a tertiary care hospital

Increased tortuosity of vessel is associated with high incidence of plaque formation leading to atherosclerosis. Surgical procedures are done after analyzing morphology of middle cerebral artery (MCA). However, literature describing MCA morphology using computed tomography angiography (CTA) is limited, so this study was planned to determine its incidence in Indian population. Datasets of CTA from 289 patients (180 males and 109 females), average age: 49.29±16.16 years (range: 11 to 85 years), from a tertiary care hospital were systematically reviewed for morphology of MCA. Cases involving aneurysms and infarcts were excluded. Four shapes of MCA were recognized: straight, U, inverted U, and S-shaped. MCA was straight in 44% (254/578), U-shaped in 37% (215/578), S shaped in 15% (89/578) and inverted U-shaped in 3% (20/578) cases. In males, MCA was straight in 46% (166/360), U-shaped in 37% (134/360), S-shaped in 16% (58/360) and inverted U-shaped in 4% (14/360) cases. In females, MCA was straight in 42% cases (92/218), U-shaped in 37% (81/218), S-shaped in 17% (36/218) and inverted U-shaped in 4% (9/218). On comparing shape with various age groups using chi square test, U shaped (P≤0.001) and S-shaped (P=0.003) MCA were found to be statistically significant. The incidence of straight shape was higher in advanced age group (>60 years). Knowledge of MCA shape will be useful for clinicians and surgeons in successful endovascular recanalization. Also, this data would help surgeons during neurointerventional procedures.