Miracle-dz/UniFAR-FTUs huggingface dataset:
The Efficacy and Safety of Rituximab in Patients with Idiopathic Inflammatory Myopathy-Associated Interstitial Lung Disease: Case Series

Idiopathic inflammatory myopathy (IIM)-associated interstitial lung disease (ILD) is often rapidly progressive with a poor prognosis; however, no standard therapeutic regimen has been identified. This study aimed to investigate the efficacy and safety of rituximab in IIM-ILD patients. Five patients who had been administered rituximab for IIM-ILD at least once between August 2016 and November 2021 were included. Lung function decline was compared one year before and after rituximab. Disease progression, defined as a greater than 10% relative decline in forced vital capacity (FVC) compared to the baseline, was also compared before and after treatment. Adverse events were recorded for safety analysis. Five IIM-ILD patients received eight cycles. FVC-predicted values significantly decreased from 6 months before rituximab administration to those at the baseline (54.1% predicted (pre-6 months) vs. 48.5% predicted (baseline), p = 0.043); however, the FVC decline stabilized after rituximab. The rate of disease progression before rituximab showed a tendency to decrease after rituximab (75% (before) vs. 12.5% (6 months after, p = 0.059) vs. 14.3% (12 months after, p = 0.102)). Three adverse events developed, but none resulted in death. Rituximab can stabilize lung function decline with tolerable safety in Korean IIM patients with refractory ILD.
Genetic rescue from protected areas is modulated by migration, hunting rate, and timing of harvest

In terrestrial and marine ecosystems, migrants from protected areas may buffer the risk of harvest‐induced evolutionary changes in exploited populations that face strong selective harvest pressures. Understanding the mechanisms favoring genetic rescue through migration could help ensure evolutionarily sustainable harvest outside protected areas and conserve genetic diversity inside those areas. We developed a stochastic individual‐based metapopulation model to evaluate the potential for migration from protected areas to mitigate the evolutionary consequences of selective harvest. We parameterized the model with detailed data from individual monitoring of two populations of bighorn sheep subjected to trophy hunting. We tracked horn length through time in a large protected and a trophy‐hunted populations connected through male breeding migrations. We quantified and compared declines in horn length and rescue potential under various combinations of migration rate, hunting rate in hunted areas and temporal overlap in timing of harvest and migrations, which affects the migrants' survival and chances to breed within exploited areas. Our simulations suggest that the effects of size‐selective harvest on male horn length in hunted populations can be dampened or avoided if harvest pressure is low, migration rate is substantial, and migrants leaving protected areas have a low risk of being shot. Intense size‐selective harvest impacts the phenotypic and genetic diversity in horn length, and population structure through changes in proportions of large‐horned males, sex ratio and age structure. When hunting pressure is high and overlaps with male migrations, effects of selective removal also emerge in the protected population, so that instead of a genetic rescue of hunted populations, our model predicts undesirable effects inside protected areas. Our results stress the importance of a landscape approach to management, to promote genetic rescue from protected areas and limit ecological and evolutionary impacts of harvest on both harvested and protected populations.
An Efficient Dimension Reduction Technique for Basic K-Means Clustering Algorithm

K-means clustering is being widely studied problem in a variety of application domains. The computational complexity of the basic k-means is very high, the number of distance calculations also increases with the increase of the dimensionality of the data. Several algorithms have been proposed to improve the performance of the basic k-means. Here we investigate the behavior of the basic k-means clustering algorithm and two alternatives to it, we have analyzed the performances of three different standardization methods. Equivalently, we prove that z-score and principal components are the best pre-processing methods that will simplify the analysis and visualize the multidimensional dataset. The analyzed result revealed that the z-score outperform min-max and decimal scaling also principal component analysis picks up the dimensions with the largest variances. Our results also provide effective ways to solve the k-means clustering problems.
Arthroscopic-Assisted Coracoclavicular and Acromioclavicular Ligament Reconstruction for Chronic AC Joint Separation

Background: Management of acromioclavicular joint (ACJ) separations depends on the type, chronicity of injury, and patient demographics. Indications: Coracoclavicular and acromioclavicular ligament reconstruction may be indicated for patients with chronic type 3 ACJ separation who have failed conservative treatment. We describe an arthroscopic-assisted approach to facilitate graft passage around the coracoid. Technique: Patients are placed in a beach chair position. A longitudinal incision at the midline of the distal clavicle is utilized for access to the ACJ, the distal clavicle, and the coracoid. The anterior, posterior, and undersurface of the distal clavicle are exposed. A standard posterior viewing and anterolateral working portals are created. A shuttling suture is passed arthroscopically and used to pass allograft and nonbiologic augmentation around the coracoid. The nonbiologic sutures are passed through a singular hole in the distal clavicle and secured with a DogBone button. The allograft is wrapped around the clavicle to recreate the coracoclavicular ligaments and secured with sutures. The ACJ capsule is reconstructed by suturing the posterior/medial limb, which is kept long, to the capsule and periosteum. Meticulous, layered closure is performed with particular attention to closing the deltotrapezial fascia. Results: A postoperative x-ray at 2 weeks and 6 months are obtained to confirm proper positioning. The sling is discontinued at 6 weeks, and supervised physical therapy is initiated. At 6 months, patients are typically cleared to full unrestricted activity. Discussion/Conclusion: Arthroscopic-assisted coracoclavicular and acromioclavicular ligament reconstruction in patients with chronic type 3 ACJ separation who fail conservative management can have excellent outcomes. The use of arthroscopic assistance may ease the passage of graft and nonbiologic suture around the coracoid. A 70° scope is helpful for coracoid visualization, and biologic reconstruction of the ligament with tendon graft with suture augmentation in chronic cases is vital in achieving a good outcome. Patient Consent Disclosure Statement: The author(s) attests that consent has been obtained from any patient(s) appearing in this publication. If the individual may be identifiable, the author(s) has included a statement of release or other written form of approval from the patient(s) with this submission for publication. Graphical Abstract This is a visual representation of the abstract.
Analysis of Medico-Legal Complaint Data: A Retrospective Study of Three Large Italian University Hospitals

(1) Background: Identifying hospital-related critical, and excellent, areas represents the main goal of this paper, in both a national and local setting. Information was collected and organized for an internal company’s reports, regarding civil litigation that has been affecting the hospital, to relate the obtained results with the phenomenon of medical malpractice on a national scale. This is for the development of targeted improvement strategies, and for investing available resources in a proficient way. (2) Methods: In the present study, data from claims management in Umberto I General Hospital, Agostino Gemelli University Hospital Foundation and Campus Bio-Medico University Hospital Foundation, from 2013 to 2020 were collected. A total of 2098 files were examined, and a set of 13 outcome indicators in the assessment of “quality of care” was proposed. (3) Results: From the total number, only 779 records (37.1%) were attributable to the categories indexable for the present analysis. This data highlights how, following a correct and rigorous categorization of hospital events, it is possible to analyze these medico-legal aspects using a small number of indicators. Furthermore, it is important to consider how a consistent percentage of remaining events was difficult to index, and was also of poor scientific interest. (4) Conclusions: The proposed indicators do not require standards to be compared to, but provide a useful instrument for comparative purposes. In fact, in addition to comparative assessment between different business realities distributed throughout the territory, the use of outcome indicators allows for a longitudinal analysis evaluating the performance of an individual structure over time.
In vitro tyrosinase inhibitory, DNA interaction studies, and LC–HRMS analysis of Ficus carica leaves

Turkey is the world’s leading producer of figs, a typical Mediterranean fruit. The fig, Ficus carica L. (Moraceae), has been widely cultivated since ancient times due to the nutritional value of its fruits. It was aimed to investigate the phytochemical characterization and biological properties of F. carica leaf extracts in order to determine their potential for use in the treatment of various diseases. F. carica leaves were extracted in 70% methanol at 40 °C under reflux. To obtain extracts of different polarities, the crude extract was fractionated with n-hexane, dichloromethane, and n-butanol. Phenolic content was determined using liquid chromatography–high resolution mass spectrometry (LC–HRMS). 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging and antityrosinase activities of all extracts were investigated using spectrophotometric methods. Furthermore, the DNA-damage protective properties of extracts were investigated using electrophoretic methods. The n-butanol extract was found to have the highest total phenolic content, with 72.58 ± 4.52 mg GAE/g dry weight. According to LC–HRMS analysis, rutin (40.13 g/kg) was the most abundant compound in the n-butanol extract. The n-butanol extract, which was found to have the highest tyrosinase inhibitory effects among the extracts, demonstrated radical scavenging activity of 37.01 ± 1.15% and 82.57 ± 0.88% at 80 and 200 μg/mL, respectively. The n-butanol extract had the highest protective effects against Fenton’s reagent, UV radiation, and singlet oxygen. Given these findings, it is possible to argue that F. carica leaves can be evaluated for developing products that could be used to treat various diseases.
Impact of Endurance Training on Regeneration of Axons, Glial Cells, and Inhibitory Neurons after Spinal Cord Injury: A Link between Functional Outcome and Regeneration Potential within the Lesion Site and in Adjacent Spinal Cord Tissue

Endurance training prior to spinal cord injury (SCI) has a beneficial effect on the activation of signaling pathways responsible for survival, neuroplasticity, and neuroregeneration. It is, however, unclear which training-induced cell populations are essential for the functional outcome after SCI. Adult Wistar rats were divided into four groups: control, six weeks of endurance training, Th9 compression (40 g/15 min), and pretraining + Th9 compression. The animals survived six weeks. Training alone increased the gene expression and protein level of immature CNP-ase oligodendrocytes (~16%) at Th10, and caused rearrangements in neurotrophic regulation of inhibitory GABA/glycinergic neurons at the Th10 and L2 levels, known to contain the interneurons with rhythmogenic potential. Training + SCI upregulated markers for immature and mature (CNP-ase, PLP1) oligodendrocytes by ~13% at the lesion site and caudally, and increased the number of GABA/glycinergic neurons in specific spinal cord regions. In the pretrained SCI group, the functional outcome of hindlimbs positively correlated with the protein levels of CNP-ase, PLP1, and neurofilaments (NF-l), but not with the outgrowing axons (Gap-43) at the lesion site and caudally. These results indicate that endurance training applied before SCI potentiates the repair in damaged spinal cord, and creates a suitable environment for neurological outcome.
A feasible and novel solution for objects detection using deep neural networks

Deep Neural Networks (DNNs) or deep Learning have been as of late demonstrated fantastic execution on picture grouping and Detection assignments. In this paper, we have gone above and beyond and propose an answer for the issue of item discovery utilizing DNNs, that replaces the idea of customary Computer vision applications utilizing OpenCV and that change isn't just grouping yet additionally absolutely confining objects of different classes. We present a simple but incredible definition of item location as a relapse issue to question bouncing box veils. Here we characterize a multi-scale induction procedure that can deliver high-goals object identifications requiring little to no effort by a couple of system applications. The best in class execution of the methodology appears on Pascal VOC
Recent Developments of Femtosecond Laser Direct Writing for Meta-Optics

Micro-optics based on the artificial adjustment of physical dimensions, such as the phase, polarization, and wavelength of light, constitute the basis of contemporary information optoelectronic technology. As the main means of optical integration, it has become one of the important ways to break through the future bottleneck of microelectronic technology. Geometric phase optical components can precisely control the polarization, phase, amplitude and other properties of the light field at the sub-wavelength scale by periodically arranging nanometer-sized unit structures. It has received extensive attention in the fields of holographic imaging and polarization optics. This paper reviews the physical mechanism of micro-nano structure modification, research progress of femtosecond laser direct-writing photoresist, femtosecond laser ablation of metal thin films, femtosecond laser-induced nanograting, and other methods for preparing polarization converters and geometric phase optics. The challenges of fabricating ultrafast optical devices using femtosecond laser technology are discussed.
On the reciprocity of connections in weighted and unweighted networks

ABSTRACT Bivariate Bernoulli and bivariate geometric distributions are proposed to model reciprocity in weighted and unweighted networks. Sampling properties of commonly used reciprocity measures are studied, under both presence and absence of reciprocity. Extensions to situations where link parameters depend on outgoing and incoming nodes are investigated. Results are illustrated with a data set, on 50 anesthesia providers at a hospital, that describes the number of times an anesthesia provider starting an operation transfers his/her responsibilities to another anesthesia provider.
The Fate of Oxidative Strand Breaks in Mitochondrial DNA

Mitochondrial DNA (mtDNA) is particularly vulnerable to somatic mutagenesis. Potential mechanisms include DNA polymerase γ (POLG) errors and the effects of mutagens, such as reactive oxygen species. Here, we studied the effects of transient hydrogen peroxide (H2O2 pulse) on mtDNA integrity in cultured HEK 293 cells, applying Southern blotting, ultra-deep short-read and long-read sequencing. In wild-type cells, 30 min after the H2O2 pulse, linear mtDNA fragments appear, representing double-strand breaks (DSB) with ends characterized by short GC stretches. Intact supercoiled mtDNA species reappear within 2–6 h after treatment and are almost completely recovered after 24 h. BrdU incorporation is lower in H2O2-treated cells compared to non-treated cells, suggesting that fast recovery is not associated with mtDNA replication, but is driven by rapid repair of single-strand breaks (SSBs) and degradation of DSB-generated linear fragments. Genetic inactivation of mtDNA degradation in exonuclease deficient POLG p.D274A mutant cells results in the persistence of linear mtDNA fragments with no impact on the repair of SSBs. In conclusion, our data highlight the interplay between the rapid processes of SSB repair and DSB degradation and the much slower mtDNA re-synthesis after oxidative damage, which has important implications for mtDNA quality control and the potential generation of somatic mtDNA deletions.
A Local Feature Descriptor Invariant to Complex Illumination Changes

In this paper, we propose a novel and robust local image descriptor to resolve the problem of complex illumination variations on low-level feature matching. Many classic local feature descriptors are invariant to linear illumination or monotonous intensity shift, but cannot handle more complex nonlinear illumination changes, which often occur due to the different time of exposure, the viewing direction, different types of light-surface interactions and other varying brightness changes. The presented descriptor that extracts the histograms of oriented gradients and Uniform Symmetric-Local Binary Pattern (US-LBP) features for each feature point neighborhood in the scale space. Extensive experiments show that the proposed descriptor outperforms many state-of-the-art descriptors such as SIFT, ORB, SURF and FREAK under the problem of local image matching, especially demonstrating the effectiveness of our method under complex illumination changes.
Semi-classical estimates for resolvents and asymptotics for total scattering cross-sections

We study the semi-classical asymptotic behavior as h→0 of total scattering cross-sections for Schrodinger operators −(1/2)h 2 Δ+V, when energies are fixed in non-trapping energy ranges. The proof is based on the semi-classical estimates for resolvents and the argument applies to the asymptotics for forward scattering amplitudes On etudie le comportement asymptotique semi-classique quand h→0 de la section efficace totale pour l'operateur de Schrodinger −(1/2)h 2 Δ+V, pour des energies dans des regions sans trajectoires piegees. Les demonstrations sont basees sur des estimations semi-classiques de resolvantes, et les arguments s'appliquent au comportement asymptotique de l'amplitude de diffusion vers l'avant
A Novel Approach for Brain Tumor Classification Using an Ensemble of Deep and Hand-Crafted Features

One of the most severe types of cancer caused by the uncontrollable proliferation of brain cells inside the skull is brain tumors. Hence, a fast and accurate tumor detection method is critical for the patient’s health. Many automated artificial intelligence (AI) methods have recently been developed to diagnose tumors. These approaches, however, result in poor performance; hence, there is a need for an efficient technique to perform precise diagnoses. This paper suggests a novel approach for brain tumor detection via an ensemble of deep and hand-crafted feature vectors (FV). The novel FV is an ensemble of hand-crafted features based on the GLCM (gray level co-occurrence matrix) and in-depth features based on VGG16. The novel FV contains robust features compared to independent vectors, which improve the suggested method’s discriminating capabilities. The proposed FV is then classified using SVM or support vector machines and the k-nearest neighbor classifier (KNN). The framework achieved the highest accuracy of 99% on the ensemble FV. The results indicate the reliability and efficacy of the proposed methodology; hence, radiologists can use it to detect brain tumors through MRI (magnetic resonance imaging). The results show the robustness of the proposed method and can be deployed in the real environment to detect brain tumors from MRI images accurately. In addition, the performance of our model was validated via cross-tabulated data.
REVERSIBILITY AND ENTROPY PRODUCTION OF MARKOV PROCESSES

In the present paper,a general probabilistic definition of the entropy production for stochastic processes is given.In the concrete cases of Markov chains and diffussions,we get its explicit expressions,which meet those given by physists and chemists perfectly. Therefore,it could be seen that the entropy production is really a criterion to describe how far a stochastic process is from the reversibility.
Superfluidity in Strongly Correlated Systems

We study superfluidity in strongly correlated systems by focusing three features as follows. First, interplay between superfluidity and other order parameters near quantum critical points is studied. The onset positions of the order parameters with or without superconductivity determines how they interact with each other. For the spin density wave (SDW) transition, we find that the quantum critical point shifts by order |∆|, where ∆ is pairing amplitude, so that the region of SDW order is smaller in the superconductor than in the metal. This shift is larger than the |∆|2 shift predicted by theories of competing orders which ignore Fermi surface effects. Second, we study a doped antiferromagnetic Mott insulator motivated by copper based high temperature superconductors. Based on spin and charge fractionalization, the algebraic charge liquid phase whose bosonic spinons have energy gap but fermionic holons form Fermi surfaces and its superconductivity are studied. We show fluctuations of local SDW order orientation lead to d-wave superconductivity, and its quantum critical pairing mechanisms are investigated. Also, a theory of bound states between spinons and holons is studied. We show that the fractionalization induces a doubling electron-like quasiparticles, which naturally induces the fractionalized Fermi liquid. The bound state theory describes exotic properties of the underdoped Cuprates such as “nodal-antinodal dichotomy” at a mean field level description. At last, we study superfluidity of fermions in optical lattices near the Feshbach resonance. Due to divergence of scattering length at the resonance, universality is observed and characteristics of superfluidity has been studied. We extend such universal properties by considering superfluid-insulator transition with an even integer number of fermions per unit cell. The resulting insulator interpolates between a band insulator of fermions and a Mott insulator of fermion pairs.
Plasmonic Nanodomains Decorated on Two-Dimensional Oxide Semiconductors for Photonic-Assisted CO2 Conversion

Plasmonic nanostructures ensure the reception and harvesting of visible lights for novel photonic applications. In this area, plasmonic crystalline nanodomains decorated on the surface of two-dimensional (2D) semiconductor materials represent a new class of hybrid nanostructures. These plasmonic nanodomains activate supplementary mechanisms at material heterointerfaces, enabling the transfer of photogenerated charge carriers from plasmonic antennae into adjacent 2D semiconductors and therefore activate a wide range of visible-light assisted applications. Here, the controlled growth of crystalline plasmonic nanodomains on 2D Ga2O3 nanosheets was achieved by sonochemical-assisted synthesis. In this technique, Ag and Se nanodomains grew on 2D surface oxide films of gallium-based alloy. The multiple contribution of plasmonic nanodomains enabled the visible-light-assisted hot-electron generation at 2D plasmonic hybrid interfaces, and therefore considerably altered the photonic properties of the 2D Ga2O3 nanosheets. Specifically, the multiple contribution of semiconductor–plasmonic hybrid 2D heterointerfaces enabled efficient CO2 conversion through combined photocatalysis and triboelectric-activated catalysis. The solar-powered acoustic-activated conversion approach of the present study enabled us to achieve the CO2 conversion efficiency of more than 94% in the reaction chambers containing 2D Ga2O3-Ag nanosheets.