Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Ana/Dfs70 Pattern in a Large Cohort of Autoimmune/Autoinflammatory Diseases Compared with First Degree Relatives and Healthy Controls Evaluated from Colombia

Background: The presence of Antinuclear antibodies/Dense Fine Speckled 70 (ANA/DFS70) has been proposed as a negative biomarker in the process of exclusion of systemic autoimmune/autoinflammatory rheumatic diseases (SARD). The purpose was to evaluate and characterize ANA/DFS70 patients in a large Colombian population with SARD; rheumatoid arthritis (RA), Psoriasis (PsO), Undifferentiated connective tissue disease (UCTD), first-degree relatives of (FDR), and healthy controls (HC). Methods: ANA determination was performed using indirect immunofluorescence. Samples with positive dense fine granular staining in the nucleoplasm of the interphase cell (AC2) fluorescence were confirmed with CytoBead/ANA and ANA/modified (Knocked out for the PSPI1 gen). Results: 530 mestizo Colombian participants were included. ANA/DFS70 antibody positivity in the whole group was 2.3%, and 0.8% in SARD; no RA patients were positive. ANA/DFS70 positives in UCTD were three women; the average time of evolution of the disease was 9.4 years. The most frequent clinical findings were arthralgias, non-erosive arthritis, and Raynaud’s phenomenon. The PsO positive was a woman with C-reactive protein (CRP) positivity and a negative erythrocyte sedimentation rate (ESR) without any other positive autoantibody or extracutaneous manifestation. FDR and HC positives were 7/8 women. All were negative for other autoantibodies. Conclusions: ANA/DFS70 autoantibodies were present in Colombian patients with SARD at a shallow frequency, they were more prevalent in healthy individuals.
Levels of Acylcarnitines and Branched-Chain Amino Acids in Antipsychotic-Treated Patients with Paranoid Schizophrenia with Metabolic Syndrome

Several studies have shown that patients with schizophrenia are at high risk for metabolic syndrome (MetS) and bioenergetic dysfunction. Because acylcarnitines are involved in bioenergetic pathways and reflect the functioning of mitochondria, we hypothesized that these compounds are biomarkers of MetS in schizophrenia. The aim of this work was to quantify acylcarnitines and branched-chain amino acids in patients with schizophrenia comorbid with MetS. The study included 112 patients with paranoid schizophrenia treated with antipsychotics. Among them, 39 subjects met criteria of MetS. Concentrations of 30 acylcarnitines and three amino acids in dry serum spots were measured by liquid chromatography coupled with tandem mass spectrometry. MetS patients were found to have higher levels of valeryl carnitine (C5), leucine/isoleucine, and alanine as compared with patients without MetS, indicating possible participation of these compounds in the pathogenesis of metabolic disorders in schizophrenia. In patients with paranoid schizophrenia with or without MetS, lower levels of carnitines C10, C10:1, C12, and C18 were recorded as compared with the healthy individuals (n = 70), implying deterioration of energy metabolism. We believe that this finding can be explained by effects of antipsychotic medication on an enzyme called carnitine-palmitoyl transferase I.
Image-Based Finite Element Modeling Approach for Characterizing In Vivo Mechanical Properties of Human Arteries

Mechanical properties of the arterial walls could provide meaningful information for the diagnosis, management and treatment of cardiovascular diseases. Classically, various experimental approaches were conducted on dissected arterial tissues to obtain their stress–stretch relationship, which has limited value clinically. Therefore, there is a pressing need to obtain biomechanical behaviors of these vascular tissues in vivo for personalized treatment. This paper reviews the methods to quantify arterial mechanical properties in vivo. Among these methods, we emphasize a novel approach using image-based finite element models to iteratively determine the material properties of the arterial tissues. This approach has been successfully applied to arterial walls in various vascular beds. The mechanical properties obtained from the in vivo approach were compared to those from ex vivo experimental studies to investigate whether any discrepancy in material properties exists for both approaches. Arterial tissue stiffness values from in vivo studies generally were in the same magnitude as those from ex vivo studies, but with lower average values. Some methodological issues, including solution uniqueness and robustness; method validation; and model assumptions and limitations were discussed. Clinical applications of this approach were also addressed to highlight their potential in translation from research tools to cardiovascular disease management.
Multi-frequency synthesis : a new technique in radio interferometric imaging

Une extension a la synthese d'ouverture, la synthese multifrequence, dont le but est d'obtenir des images radio de haute qualite a partir de reseaux radiointerferometriques clairsemes est decrite. L'idee est d'utiliser les donnees d'une etendue etroite de frequences en ameliorant ainsi l'echantillonnage effectif du plan d'ouverture. Ces donnees permettent ensuite de reconstruire une image a une frequence de reference unique dans laquelle les erreurs de reconstruction sont reduites. Le probleme a resoudre est que la distribution de brillance de la source est legerement differente a chaque frequence. Les erreurs spectrales introduite dans l'image reconstruite par cette structure dependante de la frequence sont analysees.
A unique physics-aided deep learning model for predicting viscosity of nanofluids

Abstract The viscosity of nanofluids can be influenced by many physical factors so it is difficult to obtain an accurate prediction model using only traditional theoretical model-driven methods or data-driven black-box models. This study proposes a modern approach named Physics Guided Deep Neural Network (PGDNN) for viscosity prediction that combines the data-driven models and physics-based theoretical models to achieve their complementary strengths and develop the modeling of physical processes. This PGDNN model is applied with a large number of data points (9000 data points) containing both experimental and simulated data of spherical nanoparticles Al2O3, CuO, SiO2, and TiO2. Further, this technique overcomes the overfitting issue and performs better than other traditional models while predicting unseen data. As far as we know, the PGDNN model is novel and not even used earlier to predict the viscosity of nanofluids. The learning performance of the proposed model is analyzed using different statistical performance indicators and Bayesian optimization is used for hyper-parameter tuning. Then, epistemic uncertainty quantification is performed to estimate the confidence level of the proposed model. Our PGDNN model outperformed various previous theoretical and computer-aided models with and RMSE = 0.0312. Moreover, a sensitivity analysis is performed and the results show that the volume fraction of particle is the most and viscosity of a base fluid is the second most significant parameters to determine the viscosity of nanofluids.
Light stop squarks and b-tagging

A significant part of the parameter space for light stop squarks still remains unconstrained by collider searches. For both R-Parity Conserving (RPC) and R-Parity Violating (RPV) scenarios there are regions in which the stop mass is around or below the top quark mass that are particularly challenging experimentally. Here we review the status of light stop searches, both in RPC and RPV scenarios. We also propose strategies, generally based on exploiting b-tagging, to cover the unconstrained regions.
Paleomagnetism of the La Mora Formation: Late Triassic-Late Jurassic paleolatitudinal record for Southern Mexico and its Gondwanan disconnection

ABSTRACT A comprehensive paleomagnetic study of the La Mora Formation fluvial sediments, presumably deposited during the Late Triassic-Early Jurassic, over the Mixteca terrane, allows us to document the most likely Early Mesozoic paleoposition of the Acatlán-Oaxaquia block among the mosaic of peri-Gondwanan blocks just before and during Pangea break-up. The oxide microscopy and the rock magnetic studies confirm that the magnetic carrier is titanomagnetite, hematite partially to almost totally replacing titanomagnetite (maghemite), and pigmentary hematite, in varying proportions related to dominant facies along the sedimentary sequence. Paleomagnetic results indicate that chemical remanent magnetization was acquired at during a time-lapse from the last steps of deposition to the burial and weakly deformation stage during the Late Jurassic (ca. 160 Ma). The mean paleolatitudes in flattening, unflattening, and geographic coordinate inclinations are: 7.6°N ± 1.6°, 9.8°N ± 1.7° and 11.1°N ± 1.6°, in comparison to the current latitude that is 18°N. However, a southern paleoposition of the La Mora Formation for the Late Triassic, is indicated from detrital zircon provenance ages from Amazonian craton sources, suggesting that the Acatlán-Oaxaquia block was juxtaposed to the northwestern Gondwana corner (i.e. NW South America), close to 7°S ± 2°. Therefore, we reported ca. 1800 ± 220 km of northward transport of the Acatlán-Oaxaquia block during the Late Triassic to Late Jurassic Pangea break-up. Last, the magnetic anisotropy susceptibility (AMS) indicates a primary origin magnetic fabrics with a slight syn-sedimentary tectonic overprint that agree with the Amazonian westward paleo-fluvial system.
‘Giving the right service to different people’: revisiting police legitimacy in the Covid-19 era

ABSTRACT The suspension of certain civil liberties and the extension of police powers to combat the spread of the Covid-19 pandemic has provoked concerns about the longer-term implications of the pandemic on police legitimacy. Drawing upon pathways to police legitimacy identified within the literature, this paper examines police officers’ perceptions of the impacts on, and potential challenges to, police legitimacy arising from the pandemic. Qualitative interviews, video diaries and focus groups were conducted with police officers in one police force area in England, captured over a five month period in winter 2020/21. The experience of policing Covid-19 left many police officers concerned about the possible consequences for the relationship with the public. The paper cautions that any gains in public perceptions of procedural justice through using enforcement measures only as a last resort, may be offset by losses in other pathways to legitimacy. Expectations of enforcement and increased visibility plus prolonged changes to deployment practices have all heightened a focus on the more instrumental aspects of police legitimacy. Concerns were also voiced that the policing of Covid-19 has accentuated divisions in society, exacerbating the sense of multiple publics to police, with different and often competing expectations of – and beliefs about – the police. Enforcement falling more heavily within some groups and locations risks exacerbating long-standing concerns about distributive fairness. As agents of social control with unique powers to exercise force and compulsion, the pandemic will require the police to exercise continued vigilance on the means by which public consent and support are sustained.
Prognostic significance of sarcopenia as determined by bioelectrical impedance analysis in patients with advanced pancreatic cancer receiving gemcitabine plus nab-paclitaxel: A retrospective study

Sarcopenia often affects patients with various types of cancer, and has been reported to affect patient prognosis and therapeutic effects. However, to the best of our knowledge, there are no reports on the relationship between gemcitabine plus nab-paclitaxel combination therapy (GnP) and sarcopenia in patients with unresectable pancreatic cancer. The present study analyzed the relationship between overall survival (OS), progression-free survival (PFS), response rate, disease control rate, adverse events (AEs) and sarcopenia in patients with pancreatic cancer treated with GnP. A total of 121 consecutive patients with advanced pancreatic cancer who received GnP as first-line chemotherapy between January 2015 and December 2017 were retrospectively analyzed. GnP consisted of 1,000 mg/m2 gemcitabine and 125 mg/m2 nab-paclitaxel, which were administered on days 1, 8 and 15 every 4 weeks. The skeletal muscle index (SMI) was calculated using bioimpedance analysis (BIA) as an index of sarcopenia prior to GnP. The patients were divided into sarcopenia (n=41) and non-sarcopenia (n=80) groups using cutoff values of 8.87 and 6.42 kg/m2 for male and female patients, respectively. The sarcopenia and non-sarcopenia groups had a median OS of 8.1 and 13.9 months, respectively [hazard ratio (HR) 0.79; 95% confidence interval (CI) 0.53-1.20], and a median PFS of 4.3 and 6.3 months, respectively (HR 0.63; 95% CI 0.42-0.95). The response and disease controls rate were not statistically different between the groups (20 vs. 32%, P=0.20; 81 vs. 80%, P=1.0). In addition, comparison of common grade 3 and 4 AEs between the two groups revealed no statistically significant differences. In conclusion, the results of the present study indicated that SMI obtained by BIA may be a predictor of treatment response and prognosis in patients with advanced pancreatic cancer who undergo GnP.
Biologically Synthesized Silver Nanoparticles and Their Diverse Applications

Nanotechnology has become the most effective and rapidly developing field in the area of material science, and silver nanoparticles (AgNPs) are of leading interest because of their smaller size, larger surface area, and multiple applications. The use of plant sources as reducing agents in the fabrication of silver nanoparticles is most attractive due to the cheaper and less time-consuming process for synthesis. Furthermore, the tremendous attention of AgNPs in scientific fields is due to their multiple biomedical applications such as antibacterial, anticancer, and anti-inflammatory activities, and they could be used for clean environment applications. In this review, we briefly describe the types of nanoparticle syntheses and various applications of AgNPs, including antibacterial, anticancer, and larvicidal applications and photocatalytic dye degradation. It will be helpful to the extent of a better understanding of the studies of biological synthesis of AgNPs and their multiple uses.
Surgical Aspect of Microsatellite instability in Colorectal Cancer

Approach to microsatellite instability associated colorectal cancer is a challenge faced by the surgeons. Various guidelines and implementation have been introduced to identify the microsatellite instability and MMR deficient status. Preoperative identification of the MSI status of the colorectal cancer by endoscopic, radiological guided and post operative surgical biopsy are important aspects for a surgeon and oncologist to make a strategic plan for the surgical intervention. Multiple factors need to be considered during the surgical decision keeping in view of the oncological response to the Microsatellite instability CRC treatment towards the chemotherapy and the new modulating immunotherapy. In this review we will briefly discuss the biological mechanism of the occurrence of MSI, the MSI testing results and its implementation on surgical aspects, and the current research on the immunotherapy response to the MSI in colorectal cancer.
Emerging Role of Noncoding RNAs in EGFR TKI-Resistant Lung Cancer

Simple Summary The introduction of epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) has revolutionized the treatment of lung cancer. Nevertheless, TKI resistance impedes therapeutic efficacy and its underlying mechanisms remain unclear. This review summarizes the potential mechanisms of noncoding RNAs (ncRNAs) in EGFR TKI-resistant lung cancer and their clinical applications. Moreover, we highlight the bottlenecks that urgently need to be addressed to promote the clinical application of ncRNAs. Abstract Lung cancer accounts for the majority of malignancy-related mortalities worldwide. The introduction of epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) has revolutionized the treatment and significantly improved the overall survival (OS) of lung cancer. Nevertheless, almost all EGFR-mutant patients invariably acquire TKI resistance. Accumulating evidence has indicated that noncoding RNAs (ncRNAs), such as microRNAs (miRNAs), long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs), have a central role in the tumorigenesis and progression of lung cancer by regulating crucial signaling pathways, providing a new approach for exploring the underlying mechanisms of EGFR-TKI resistance. Therefore, this review comprehensively describes the dysregulation of ncRNAs in EGFR TKI-resistant lung cancer and its underlying mechanisms. We also underscore the clinical application of ncRNAs as prognostic, predictive and therapeutic biomarkers for EGFR TKI-resistant lung cancer. Furthermore, the barriers that need to be overcome to translate the basic findings of ncRNAs into clinical practice are discussed.
Finding the Maximum $k$-Balanced Biclique on Weighted Bipartite Graphs

Bipartite graphs are widely used to capture the relationships between two types of entities. In bipartite graph analysis, finding the maximum balanced biclique (MBB) is an important problem with numerous applications. A biclique is balanced if its two disjoint vertex sets are of equal size. However, in real-world scenarios, each vertex is associated with a weight to denote its properties, such as influence, i.e., weighted bipartite graph. For weighted bipartite graphs, the previous studies for MBB are no longer applicable due to the ignorance of weight. To fill the gap, in this paper, we propose a reasonable definition of “balance” by restricting the weight difference between two sides of a biclique within <inline-formula><tex-math notation="LaTeX">$k$</tex-math><alternatives><mml:math><mml:mi>k</mml:mi></mml:math><inline-graphic xlink:href="chen-ieq2-3206351.gif"/></alternatives></inline-formula>. Given a weighted bipartite graph <inline-formula><tex-math notation="LaTeX">$G$</tex-math><alternatives><mml:math><mml:mi>G</mml:mi></mml:math><inline-graphic xlink:href="chen-ieq3-3206351.gif"/></alternatives></inline-formula> and a constraint <inline-formula><tex-math notation="LaTeX">$k$</tex-math><alternatives><mml:math><mml:mi>k</mml:mi></mml:math><inline-graphic xlink:href="chen-ieq4-3206351.gif"/></alternatives></inline-formula>, we aim to find the maximum <inline-formula><tex-math notation="LaTeX">$k$</tex-math><alternatives><mml:math><mml:mi>k</mml:mi></mml:math><inline-graphic xlink:href="chen-ieq5-3206351.gif"/></alternatives></inline-formula>-balanced biclique (Max <inline-formula><tex-math notation="LaTeX">$k$</tex-math><alternatives><mml:math><mml:mi>k</mml:mi></mml:math><inline-graphic xlink:href="chen-ieq6-3206351.gif"/></alternatives></inline-formula> BB) with the maximum weight. To address the problem, we first propose an approach based on biclique enumeration on single side of <inline-formula><tex-math notation="LaTeX">$G$</tex-math><alternatives><mml:math><mml:mi>G</mml:mi></mml:math><inline-graphic xlink:href="chen-ieq7-3206351.gif"/></alternatives></inline-formula> following the Branch-and-Bound framework. To improve the performance, we further devise three optimization strategies to prune invalid search branches. Moreover, we utilize graph reduction strategy to reduce the redundant search space. Extensive experiments are conducted on 12 real bipartite datasets to demonstrate the efficiency, effectiveness and scalability of our proposed algorithms. The experimental results show that our algorithms can address MBB detection problem efficiently, and the case study demonstrates the effectiveness of our model compared with MBB model.
Near-Perfect TMOKE in Photonic Crystal Structures for Sensing Devices With High Figure of Merit

Near-perfect transverse magneto-optical Kerr effect (TMOKE), which is realized by sandwiching a magnetic-optical film between a photonic crystal (PhC) structure and a metallic mirror, is studied. Near-unity amplitude in TMOKE is observed owing to the excitation of Tamm plasmon polaritons (TPPs) at the interface between the PhC and the metallic mirror. The physical origin behind such giant enhancement of TMOKE is disclosed by studying the magnetic field distributions at resonance and also confirmed by the reflection spectra of the top PhC and the bottom continuous metallic film. Besides, the suitability and the sensitivity of the proposed structure for sensing both gas and aqueous mediums are also illustrated in the last. And it is found that the excellent performance with the averaged figure of merit (FoM) on the order of <inline-formula> <tex-math notation="LaTeX">$4.8\times10^{3}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$6.7\times10^{3}$ </tex-math></inline-formula> can be achieved for sensing gas and aqueous mediums, respectively. We hoped that this work will prompt the development of data magnetic storage, optical filters, waveguide isolators, and novel sensors with improved sensitivity.
Complex NMF under spectrogram consistency constraints

Many audio signal processing algorithms rely on the estimation of magnitude or complex short-time Fourier transform (STFT) spectrograms, but usually do not take into account the necessity for the estimated spectrograms to be consistent, i.e., to correspond to the STFT of a real-valued time-domain signal. Consistency constraints were introduced in [1] and applied there to phase reconstruction from magnitude spectrograms. In this paper, we show how to use them to introduce penalty functions on the consistency of STFT spectrograms into the recently introduced complex non-negative matrix factorization (NMF) framework [2], which estimates recurring patterns in the observed magnitude spectra, their activations and their phases. We derive analytical update equations through an auxiliary function approach, and present preliminary results on a supervised monaural source separation task.
Bioconversion of Starch Base Food Waste into Bioethanol

The global demand for fuel keeps increasing daily. The massive depletion of fossil fuels and their influence on the environment as pollution is a severe problem. Meanwhile, food waste disposal is also a complex problem in solid-waste management since one-third of every food consumed is discarded as waste. The standard waste management methods, including food waste incineration and landfilling, are considered hazardous to the environment. Food waste constituents are majorly starch-based and contain various biomolecules, including sugar, lipids, proteins, vitamins, cellulose, etc. These polysaccharides can be hydrolysed into monosaccharides such as glucose, which can then be fermented using microorganisms to produce ethanol through the fermenting of sugars derived from enzymatic hydrolysis treatment of food wastes. The human food system is rich in starch, which can be a potential resource for bioethanol production.
Quantum Control Theory

This paper explains some fundamental ideas of {\em feedback} control of quantum systems through the study of a relatively simple two-level system coupled to optical field channels. The model for this system includes both continuous and impulsive dynamics. Topics covered in this paper include open and closed loop control, impulsive control, optimal control, quantum filtering, quantum feedback networks, and coherent feedback control.