Miracle-dz/UniFAR-FTUs huggingface dataset:
Cytogenetically Normal Acute Myeloid Leukaemia at a Single Centre in South Africa.

BACKGROUND AND OBJECTIVES The heterogeneous molecular landscape of cytogenetically normal acute myeloid leukemia (CN-AML) renders it an ongoing therapeutic challenge. The European LeukemiaNet (ELN) 2017 guidelines attempted to address this by guiding post-remission therapy according to six prognostically informative mutations. However, its applicability in a South African setting remains unclear due to limited local data. This retrospective study aimed to describe a South African CN-AML cohort according to clinicopathological and molecular features as well as treatment outcomes and, consequently, to investigate the local applicability of a triple-mutation testing approach for risk stratification in accordance with the ELN 2017 guidelines, using nucleophosmin 1 (NPM1), fms-related receptor tyrosine kinase 3 internal tandem duplication (FLT3-ITD), and CCAAT enhancer-binding protein alpha (CEBPA) mutation status. MATERIALS AND METHODS A review of cytogenetic results for adult de novo AML cases diagnosed at Groote Schuur Hospital between 2005 and 2018 was performed. CN-AML cases were further characterized via a review of clinical and laboratory data and additional molecular testing on stored DNA samples to allow for mutation-based risk stratification and outcome analysis. RESULTS In total, 218 patients with AML were identified, of which 33% were cytogenetically normal. NPM1, FLT3-ITD, and CEBPA mutations were found in 39%, 34%, and 9% of CN-AML cases, respectively. Retrospective risk stratification according to mutations in these three genes accurately identified both patients at a high risk of induction-resistant disease and those who required an allogeneic stem cell transplant in their first complete remission. CONCLUSION Local rates of CN-AML and associated NPM1 and FLT3-ITD mutations were comparable to those of European cohorts. Limited mutation analysis in the form of triple-mutation testing proved to be an economical and therapeutically informative prognostication approach for CN-AML in a resource-limited setting.
Design of Compact Parallel-Connected Chained Function Filters

The design of compact parallel-connected chained function filters is presented in this paper. The proposed filters will offer reduced sensitivity to manufacturing tolerance within the specified bandwidth in comparison to conventional Chebyshev filters for C-band applications. A new filtering function according to a chained configuration is derived for fourth-order filters, and the synthesis procedures are presented. To demonstrate the feasibility of this approach, the circuit simulation based on parallel-connected topology is performed in an advanced design system, while the design and simulation of a fourth-order filter in dielectric technology are carried out in high-frequency simulation software. The prototype of fourth-order microstrip topology is fabricated using open-loop resonators. The overall circuit size of the filter is 2.5 cm × 4 cm. The achieved simulation and measured insertion/return loss are 0.409 dB/20 dB and 2.674 dB/18.074 dB, respectively. Extensive sensitivity analysis is conducted to prove the fabrication tolerance of the filter. The reduced sensitivity of the proposed filter to manufacturing tolerance is fully demonstrated using an open-loop microstrip technology, and its reliability is proven by theoretical analysis. The prototype results in this research are validated and agree with the theoretical results. In terms of implementation, this design technique will be a very useful mathematical tool for any filter design engineer.
A New Equation for Human Intellectual Capital Management Intelligent Website for Managing Communities of Practice of Academic Organizations and Financial Investments by Using Adaptive and Dynamic Assessment Networks

In the forthcoming twenty century, economic system of each country should be driven based on sciences, technology and innovations developed by specific knowledge from specialists called knowledge workers. This is an important strategy of Thailand to develop new products and services for surviving in serious business competition. Therefore, essential knowledge in knowledge workers such as skills and experiences for developing new products, services and innovations are required. This tacit knowledge (knowledge in human) should be appropriately measured and managed in the perspective of intellectual capital or intangible capital management. This paper attempts to answer the question “How to appropriately measure tacit knowledge by using graph theory? ”. Thus, a new equation to measure intellectual capital for managing excellent centers and laboratories is presented in this paper. This is the novel impact factor equation which considers the dimension of time and frequency of published articles combined with the other impact factors of each published paper on Scimago Journal Rank website and Scopus. Moreover, it is not only the formula which is the quantitative intellectual capital assessment but the intellectual capital indicators and the intellectual capital analysis for university are illustrated in the form of qualitative intellectual capital assessment also. Moreover, intellectual capital management intelligent website for managing Communities of Practice (CoP) of academic organizations and financial investments by using new equation and Dynamic Assessment Networks (DANs) is developed also. The proposed concept and methodology is a basis for risk management in terms of human capitals and financial investments.
Computing the Topological Entropy of Multimodal Maps via Min-Max Sequences

We derive an algorithm to recursively determine the lap number (minimal number of monotonicity segments) of the iterates of twice differentiable l-modal map, enabling to numerically calculate the topological entropy of these maps. The algorithm is obtained by the min-max sequences—symbolic sequences that encode qualitative information about all the local extrema of iterated maps.
Research and Application of Improved Multiple Imputation Based on R Language in Fire Prediction

An improved multiple imputation based on R language is proposed to deal with the miss of data in a fire prediction model, which can affect the accuracy of the prediction results. Hazard and operability (HAZOP) is used to accurately find the data related to the research purpose, and exclude data with a missing rate greater than 80% and small differences in characteristics. Then, by changing the m value in the mice package under the R language (R-mice), the relevant parameters of the complete filling factor set under different m values are obtained. The value of m is determined after observing and comparing the parameters. The proposed method fully considers the randomness of filling and the difference between the generated dataset. Taking Hubei Province as an example, the data processed by this method are used as the input of the Bayesian network, and the fire trend is used as the output. The results show that the improved multiple imputation based on R-mice can solve the problem of missing data very well, and have a high prediction effect (AUC = 94.0800). In addition, the results of the predictive reasoning and sensitivity analysis show that the government’s supervision has a vital influence on the trend of fires in Hubei Province.
Dye-enhanced laser soldering of cartilage and blood vessels

Laser soldering of biological tissue is a promising technique that can help to simplify conventional procedures or even enables totally new methods. Soldering articular cartilage using a dye-enhanced albumin solder is such a new method. The main problem of surgically treating full thickness cartilage defects is to obtain a strong implant attachment and maintaining the viability of the chondrocytes. Using an 808 nm diode laser in combination with a biological albumin solder, cartilage bonding was obtained with a maximum tensile strength of up to 10 N/cm 2 . An efficient cell viability test was applied to unambiguously evaluate cartilage damage. The soldering procedure resulted in a lateral cartilage damage of about 500 μm. These findings show the feasibility of soldering articular cartilage on cartilage using indocyanine green enhanced albumin solder denatured by laser irradiation. Compared to conventional suture techniques, laser end-to-end vessel soldering is shown to be faster and simpler. By using a balloon catheter as intraluminal stent, the vessel lumen is prevented from collapsing. It allows a perfect vessel alignment and makes additional sutures redundant. Therefore, the surgical time can be reduced and the risk of foreign body reactions minimized. Furthermore, the combination of the developed fiber delivery system with a balloon catheter allowed a 360° irradiation technique from inside the vessel lumen that enhances the quality of the welding process. By using this novel technique, in vitro end-to-end anastomoses of bovine arteries and veins were performed that meet clinical requirements; tensile strengths between 1.2 and 1.5 N, bursting pressures up to 765 mmHg and a procedure time of 5 min. These features make vessel soldering an alternative to conventional suture techniques.
Learnable Weight Initialization for Volumetric Medical Image Segmentation

Hybrid volumetric medical image segmentation models, combining the advantages of local convolution and global attention, have recently received considerable attention. While mainly focusing on architectural modifications, most existing hybrid approaches still use conventional data-independent weight initialization schemes which restrict their performance due to ignoring the inherent volumetric nature of the medical data. To address this issue, we propose a learnable weight initialization approach that utilizes the available medical training data to effectively learn the contextual and structural cues via the proposed self-supervised objectives. Our approach is easy to integrate into any hybrid model and requires no external training data. Experiments on multi-organ and lung cancer segmentation tasks demonstrate the effectiveness of our approach, leading to state-of-the-art segmentation performance. Our proposed data-dependent initialization approach performs favorably as compared to the Swin-UNETR model pretrained using large-scale datasets on multi-organ segmentation task. Our source code and models are available at: https://github.com/ShahinaKK/LWI-VMS.
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

Current perceptual similarity metrics operate at the level of pixels and patches. These metrics compare images in terms of their low-level colors and textures, but fail to capture mid-level similarities and differences in image layout, object pose, and semantic content. In this paper, we develop a perceptual metric that assesses images holistically. Our first step is to collect a new dataset of human similarity judgments over image pairs that are alike in diverse ways. Critical to this dataset is that judgments are nearly automatic and shared by all observers. To achieve this we use recent text-to-image models to create synthetic pairs that are perturbed along various dimensions. We observe that popular perceptual metrics fall short of explaining our new data, and we introduce a new metric, DreamSim, tuned to better align with human perception. We analyze how our metric is affected by different visual attributes, and find that it focuses heavily on foreground objects and semantic content while also being sensitive to color and layout. Notably, despite being trained on synthetic data, our metric generalizes to real images, giving strong results on retrieval and reconstruction tasks. Furthermore, our metric outperforms both prior learned metrics and recent large vision models on these tasks.
Compact Band-Rejected Ultrawideband Slot Antennas Inserting With and Resonators

Two compact ultrawideband (UWB) slot antennas with band-rejected characteristics are proposed for UWB com- munication applications. The entire size of both antennas is as small as , which is smaller than most of the proposed UWB antennas. The radiator is a stepped slot excited by a 50 feed line. By etching a half-wavelength and a quarter-wavelength slot from the ground plane of UWB slot antennas, respectively, two UWB antennas with band-notched characteristics can be obtained. The potential interference be- tweenUWBandWLAN/WiMAXcanbereduced.Omnidirectional radiation patterns and constant gain can be observed in the pass bands. Time-domain characteristics of both proposed antennas are analyzed under different conditions. It demonstrates that the time-domain characteristics of the antennas are good enough for UWB applications. The results show that proposed antennas are very suitable for various portable UWB systems.
Fundamental Study Approximate solution of NP optimization problems

This paper presents the main results obtained in the field of approximation algorithms in a unified framework. Most of these results have been revisited in order to emphasize two basic tools useful for characterizing approximation classes, that is, combinatorial properties of problems and approximation preserving reducibilities. In particular, after reviewing the most important combinatorial characterizations of the classes PTAS and FPTAS, we concentrate on the class APX and, as a concluding result, we show that this class coincides with the class of optimization problems which are reducible to the maximum satisfiability problem with respect to a polynomialtime approximation preserving reducibility.
Altered longitudinal structural connectome in paediatric mild traumatic brain injury: an Advancing Concussion Assessment in Paediatrics study

Abstract Advanced diffusion-weighted imaging techniques have increased understanding of the neuropathology of paediatric mild traumatic brain injury (i.e. concussion). Most studies have examined discrete white-matter pathways, which may not capture the characteristically subtle, diffuse and heterogenous effects of paediatric concussion on brain microstructure. This study compared the structural connectome of children with concussion to those with mild orthopaedic injury to determine whether network metrics and their trajectories across time post-injury differentiate paediatric concussion from mild traumatic injury more generally. Data were drawn from of a large study of outcomes in paediatric concussion. Children aged 8–16.99 years were recruited from five paediatric emergency departments within 48 h of sustaining a concussion (n = 360; 56% male) or mild orthopaedic injury (n = 196; 62% male). A reliable change score was used to classify children with concussion into two groups: concussion with or without persistent symptoms. Children completed 3 T MRI at post-acute (2–33 days) and/or chronic (3 or 6 months, via random assignment) post-injury follow-ups. Diffusion-weighted images were used to calculate the diffusion tensor, conduct deterministic whole-brain fibre tractography and compute connectivity matrices in native (diffusion) space for 90 supratentorial regions. Weighted adjacency matrices were constructed using average fractional anisotropy and used to calculate global and local (regional) graph theory metrics. Linear mixed effects modelling was performed to compare groups, correcting for multiple comparisons. Groups did not differ in global network metrics. However, the clustering coefficient, betweenness centrality and efficiency of the insula, cingulate, parietal, occipital and subcortical regions differed among groups, with differences moderated by time (days) post-injury, biological sex and age at time of injury. Post-acute differences were minimal, whereas more robust alterations emerged at 3 and especially 6 months in children with concussion with persistent symptoms, albeit differently by sex and age. In the largest neuroimaging study to date, post-acute regional network metrics distinguished concussion from mild orthopaedic injury and predicted symptom recovery 1-month post-injury. Regional network parameters alterations were more robust and widespread at chronic timepoints than post-acutely after concussion. Results suggest that increased regional and local subnetwork segregation (modularity) and inefficiency occurs across time after concussion, emerging after post-concussive symptom resolve in most children. These differences persist up to 6 months after concussion, especially in children who showed persistent symptoms. While prognostic, the small to modest effect size of group differences and the moderating effects of sex likely would preclude effective clinical application in individual patients.
Surface magnetic charge distributions and demagnetizing factors of circular cylinders

A circular cylinder in which a relative permeability is finite and constant is considered. The surface magnetic charge distributions and the demagnetizing factors are calculated numerically by the surface magnetic charge simulation method and are shown for various cases of different aspect ratios of length to diameter and different relative permeabilities. The results are used to obtain the ballistic demagnetizing factors and to compare them with other available data. >
Repurposing Drugs in Controlling Recurrent Platinum-Resistant Clear-Cell Ovarian Cancer

Background Recurrent platinum-resistant clear-cell ovarian cancer has a low overall survival duration of 7-8 months, making it a fatal disease. Currently, chemotherapy is the major kind of treatment, but it offers little advantage. Repurposed conventional drugs have recently been found to offer the ability to control cancer with few side effects and at a reasonable cost to healthcare organizations. Case Presentation. In this case report, we present the case of a 41-year-old Thai female patient diagnosed with recurrent platinum-resistant clear-cell ovarian cancer (PRCCC) in the year 2020. After undergoing chemotherapy for two courses and failing to respond to treatment, she began alternative medicine with repurposing drugs in November 2020. Simvastatin, metformin, niclosamide, mebendazole, itraconazole, loratadine, and chloroquine were also administered. Two months after therapy, a computerized tomography (CT) scan revealed a conflict between a decline in tumor marker levels (CA 125, CA 19-9) and an increase in the number of lymph nodes. However, after continuing all medications for 4 months, the CA 125 level decreased from 303.6 to 54 U/ml, and the CA 19-9 level decreased from 1210.3 to 386.10 U/ml. The patient's EQ-5D-5L score increased from 0.631 to 0.829 (abdominal pain and depression), indicating improved quality of life. Overall survival was 8.5 months, and progression-free survival was 2 months. Conclusion The response to drug repurposing is demonstrated by a four-month-long improvement in symptoms. This work introduces a novel strategy for the management of recurrent platinum-resistant clear-cell ovarian cancer that needs further evaluation in large-scale studies.
Stabilité par déformation non-linéaire de la métrique de Minkowski

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Statistical Physics and biology

The relationship between biology and physics has often been close and, at times, uneasy. During this century many physicists have moved to work in biology. Amongst the most famous are Francis Crick (the joint discoverer of the DNA double helix with Jim Watson), and Max Delbruck and Salvatore Luria (Nobel prize-winners for their work on mutations). However, after these scientists changed their research field, they worked in the same way as other biologists and used their physics training to a reduced extent.
Integrated microsphere whispering gallery mode probe for highly sensitive refractive index measurement

We report an integrated whispering gallery mode microresonator–based sensor probe for refractive index sensing. The probe was made by sealing a borosilicate glass microsphere into a thin-wall glass capillary pigtailed with a multimode optical fiber. The intensities of the resonant peaks were found decreasing exponentially (linearly in a log scale) with the increasing refractive index of the medium surrounding the capillary. The sensing capability of the integrated probe was tested using sucrose solutions of different concentrations and the resolution was estimated to be about 2.5×10− 5 in the index range of 1.3458 to 1.3847. The integrated sensor probe may prove useful in many chemical and biological sensing applications where highly sensitive refractive index monitoring is needed.
The Applicability of a Mixed–Layer Model of the Planetary Boundary Layer to Real-Data Forecasting

Abstract The mesoscale numerical model of the planetary boundary layer (PBL), which Lavoie applied to lake-effect snowstorm and to airflow over the Hawaiian Islands, is modified and utilized to assess the feasibility of producing short-range real-data forecasts of low-level flow patterns. The dry model atmosphere comprises three layers. A parameterized surface layer of fixed depth (50 m) follows the variable terrain and allows vertical fluxes of heat and momentum to affect the flow in the overlying PBL or “mixed layer. ” The horizontal wind velocity and potential temperature, both prognostic variables, are assumed to be independent of height in the mixed layer. The height of the top of the mixed layer is an additional prognostic variable. A parameterized stable layer, characterized by a vertically constant potential temperature lapse rate, overlies the mixed layer. Synoptic-scale patterns of pressure and potential temperature are specified at the top of this uppermost layer as upper boundary conditions. En.
Discontinuous Galerkin Finite Element Method with Anisotropic Local Grid Refinement for Inviscid Compressible Flows

A new discretization method for the three-dimensional Euler equations of gas dynamics is presented, which is based on the discontinuous Galerkin finite element method. Special attention is paid to an efficient implementation of the discontinuous Galerkin method that minimizes the number of flux calculations, which is generally the most expensive part of the algorithm. In addition a detailed discussion of the truncation error of the presented algorithm is given. The discretization of the Euler equations is combined with anisotropic grid refinement of an unstructured, hexahedron-type grid to achieve optimal resolution in areas with shocks, vortices, and other localized flow phenomena. The data structure and searching algorithms necessary for efficient calculation on highly irregular grids obtained with local grid refinement are discussed in detail. The method is demonstrated with calculations of the supersonic flow over a 10� ramp and the ONERA M6 wing under transsonic flow conditions.