Miracle-dz/UniFAR-FTUs huggingface dataset:
Accurate Reconstruction of ECG Signals using Chebyshev Polynomials

Chebyshev approximation coefficients have been shown to be an accurate and compact representation of time-series datasets. However, for medical data, such as ECG beats, a clinician may require a time domain representation for medical intervention/diagnosis purposes. Thus, there is a need to accurately recreate these signals from the approximate Chebyshev coefficients - this is especially true in cases where the beat was captured using non-uniformly sampled signals. In this study, we show that a fast approach using an iterative algorithm can be used to reconstruct signals at any time point avoiding the use of interpolation in the reconstruction process resulting in improved accuracy. The average reconstruction error of our proposed algorithm compared to the direct approach is only 0.008%. We also show that this iterative approach can be implemented using a simple (two-pole) IIR filter and that this method can be applied to the reconstruction of any time-series data.
The World Health Organization Reporting System for Lung Cytopathology

The International Academy of Cytology has joined with the International Agency for Research on Cancer (IARC) to bring together a group of experts in lung cytopathology to develop a WHO Reporting System for Lung Cytopathology (WHO System). This WHO System defines five categories for reporting lung cytopathology, that is, “Insufficient”/“Inadequate”/“Non-diagnostic,” “Benign,” “Atypical,” “Suspicious for malignancy,” and “Malignant,” each with a clear descriptive term for the category, a definition, a risk of malignancy and a suggested management algorithm. The key diagnostic cytopathology features of each of the lesions within each category have been established by consensus and will be presented more fully in a subsequent IARC e-book and published hard cover book.The WHO System provides the best practice application of ancillary testing, including immunocytochemistry and molecular pathology, and provides a review to guide sampling and processing techniques to optimize the handling and preparation of the cytopathology sample emphasizing the cytomorphological differential diagnosis to aid low-resourced settings. The authors recognize that local medical and pathology resources will vary, particularly in low- and middle-income countries, and have developed the WHO System to make it applicable worldwide based on cytomorphology with options for further diagnostic management of the patient.The online WHO System provides a direct link to the WHO Tumour Classification for Thoracic Tumours 5th Edition. It will raise the profile and use of cytopathology by increasing awareness of its current role and its potential role in the era of personalized medicine based on molecular pathology utilizing “small biopsies. ” Ultimately, the System will improve patient care and outcomes.This System aims to improve and standardize the reporting of cytopathology, facilitate communication between cytopathologists and clinicians and improve patient care. The System is based on the current role of lung cytopathology and synthesizes the existing evidence while highlighting areas requiring further research and the future potential role of lung cytopathology.
Sketch2Process: End-to-End BPMN Sketch Recognition Based on Neural Networks

Process models play an important role in various software engineering contexts. Among others, they are used to capture business-related requirements and provide the basis for the development of process-oriented applications in low-code/no-code settings. To support modelers in creating, checking, and maintaining process models, dedicated tools are available. While these tools are generally considered as indispensable to capture process models for their later use, the initial version of a process model is often sketched on a whiteboard or a piece of paper. This has been found to have great advantages, especially with respect to communication and collaboration. It, however, also creates the need to subsequently transform the model sketch into a digital counterpart that can be further processed by modeling and analysis tools. Therefore, to automate this task, various so-called sketch recognition approaches have been defined in the past. Yet, these existing approaches are too limited for use in practice, since they, for instance, require sketches to be created on a digital device or do not address the recognition of edges or textual labels. Against this background, we use this paper to introduce Sketch2Process, the first end-to-end sketch recognition approach for process models captured using BPMN. Sketch2Process uses a neural network-based architecture to recognize the shapes, edges, and textual labels of highly expressive process models, covering 25 types of BPMN elements. To train and evaluate our approach, we created a dataset consisting of 704 hand-drawn and manually annotated BPMN models. Our experiments demonstrate that our approach is highly accurate and consistently outperforms the state of the art.
Vibration Characteristics and Vibration Mitigation Analysis of End Cap PM Excitation Homopolar Inductor Machine

Vibration analysis and vibration mitigation are very important to ensure the safe and stable operation of electrical machines applied in flywheel energy storage systems. In traditional integer slot synchronous machines, it is generally believed that there is only the zeroth-mode vibration caused by odd tooth harmonics. However, the homopolar inductor machine (HIM) adopts the end cap excitation structure, which makes its air-gap magnetic field contain the dc component, odd tooth harmonics and even tooth harmonics. The force density distribution on the slotted stator is analyzed by the magnetomotive force-multiplying permeance method. The results show that there are both zeroth- and pth(pole pairs)-mode vibrations caused by tooth harmonics and dc component of the air-gap flux density. Furthermore, to reduce vibration and resonance, and to improve the electromagnetic performance of HIM, it is best to use the stator skew slot, the magnetic slot wedge and the sinusoidal rotor slot at the same time. Finally, a 54-slot/6-pole end cap permanent magnet excitation homopolar inductor machine (EPE-HIM) is tested to validate the analytical and the finite-element method (FEM) results, and the variation trend of the experimental results and FEM results is the same.
Effects of Suberoylanilide Hydroxamic Acid (SAHA) on the Inflammatory Response in Lipopolysaccharide-Induced N9 Microglial Cells

Introduction: Epigenetics has shown promising results for understanding the different behaviors of microglia under the context of neuroinflammation. However, to our knowledge, the results of this complex mechanism with novel pharmacological agents such as histone deacetylase inhibitors (HDACis) are still missing. In this study, we aimed to investigate the effects of suberoylanilide hydroxamic acid (SAHA), a pan-HDACi, on the lipopolysaccharide (LPS)-induced neuroinflammation model in the N9 microglial cells. Methods: Microglial cells were treated with SAHA (0.25, 0.5, 1.0, 1.25, 1.5 µM) and LPS (100 ng/mL) for 24 hours. Then, levels of the pro/anti-inflammatory cytokines interleukin-1 beta (IL-1β), IL-6, tumor necrosis factor alpha (TNF-α), and IL-10 were determined by the enzyme-linked immunosorbent assay. The total cellular HDAC activity was determined by colorimetric analysis. Additionally, the expression levels of nuclear factor kappa-B (NF-κB) were quantified via western blotting. Results: SAHA (1.0 and 1.25 µM) attenuated the LPS-induced inflammatory response of microglial cells via decreasing NF-κB expression and pro-inflammatory cytokines (IL-1β, IL-6, TNF-α) in the N9 microglial cells. Moreover, SAHA treatment improved IL-10 levels and prevented the LPS-induced increase in the HDAC activity in the microglial cells. Conclusion: Our results suggest SAHA attenuates the LPS-induced inflammatory response in the N9 microglial cells, and regulation of histone acetylation with HDACis might be a rational approach for the treatment of neuroinflammation.
Association between Psychological Suffering and Suicidal Thinking in Patients with Urologic Cancer Using Real-World Data

Cancer is a leading cause of death in Korea, and depression and suicide are major psychiatric problems in cancer patients. This study aimed to explore the correlation between anxiety, depression, social support, cancer state, and suicidality among urologic cancer patients. Sixty patients with urologic cancer were admitted to a university hospital between October 2019 and February 2020. The patients were evaluated using the Patient Health Questionnaire-9, Generalized Anxiety Disorder 7-item scale, Suicidality module of the Mini International Neuropsychiatric Interview (MINI), and the Lubben Social Network scales (LSNS). To determine which psychological or demographic factors affected suicide risk, Fisher’s exact test, Wilcoxon rank-sum test, regression, and logistic regression were conducted. It was found that the greater the depressive symptoms, the higher the suicidal risk (OR = 1.32, 95% CI = 1.08–1.61). Furthermore, anxiety symptoms and the duration of cancer after diagnosis significantly increased depressive symptoms (p = 0.032). Clinicians should be able to identify the risk factors for suicide in patients with cancer, one of which is depression. To assess the risk of suicide, we must evaluate not only depressive symptoms but also the related anxiety and duration of the disease. Prevention and intervention efforts are needed to improve depressive moods and anxiety after cancer diagnosis.
Approximate Logarithmic Multiplier For Convolutional Neural Network Inference With Computational Reuse

The design of efficient hardware for Convolutional Neural Networks (CNNs) has always been a challenging engineering task. This is due to the myriad of multiplication operations performed during CNN training that leads to computational complexities. This research paper proposes a new approach to address this issue by employing logarithmic number system (LNS) to replace the multiplication operation with addition. It makes use of the Mitchell's Algorithm to perform the task of multiplication coupled with computational reuse techniques to perform MAC operations more efficiently. This shows a power improvement of 11.4% from the synthesis results of the proposed design. The improvement comes with negligibly small loss in inference accuracy, which makes our approach suitable for devices with constrained energy and storage capacities. More importantly, computational reuse techniques are introduced in this work to avoid repetitive data movement and computation of redundant CNN parameters during MAC operations. This significantly reduces the associated computation and communication costs producing an improved power consumption and area efficiency.
Conservative Hybrid Compact-WENO Schemes for Shock-Turbulence Interaction

In the present paper an efficient hybrid compact-WENO scheme is proposed to obtain high resolution in shock-turbulence interaction problems. The algorithm is based on a fifth-order compact upwind algorithm in conservation form to solve for the smooth part of the flow field, which is coupled with a high-resolution weighted essentially nonoscillatory (WENO) scheme to capture the discontinuities. The derivation of the compact scheme is discussed in detail, and a stability study of the full discretization is included. The performance of the numerical algorithm has been assessed by performing preliminary simulations on benchmark problems, such as the interaction of a shock wave with entropy and vortical disturbances. The algorithm here developed is proven to have better resolution properties than standard WENO schemes and hybrid compact-ENO schemes as well, at a lower computational cost. In addition, the application to more realistic shock-turbulence interaction problems is discussed.
Clinical Risk Factors for Aortic Root Dilation in Patients with 22q11.2 Deletion Syndrome: A Longitudinal Single-Center Study

Background: Aortic root dilation (ARD) has been described in 22q11.2DS, even without congenital heart disease (CHD). However, the clinical implications and longitudinal course are unclear. In this study, we evaluated aortic root (AR) dimensions in 22q112.DS adolescents/adults without major intracardiac CHDs, analyzed the progression over time and investigated correlations with extracardiac comorbidities. Methods: AR dimensions were evaluated in 74 patients, measuring the sinus of Valsalva (VS) and proximal ascending aorta (AA), using Z-score to define mild, moderate and severe degrees. Changes in AR dimensions during longitudinal echocardiographic follow-up were investigated. Phenotypic characteristics have been collected. Results: Twenty-four patients (32.4%) showed ARD in terms of VS Z-score (2.43; IQR 2.08–3.01), eight (33.3%) of a moderate/severe degree. Thirteen (54.2%) had concomitant AAD (Z-score 2.34; IQR 1.60–2.85). The risk of ARD was significantly directly related to skeletal/connective tissue disorders (OR 12.82, 95% CI 1.43–115.31; p = 0.023) and inversely related to BMI (OR 0.86, 95% CI 0.77–0.97; p = 0.011). A significant increase in AR diameter’s absolute value (p = 0.001) over time has been detected. Conclusion: Isolated ARD is common in 22q11.2DS. Although some clinical risk factors have been identified, pathogenetic mechanisms and risk of complications are undefined. Regular cardiac evaluations should be part of the 22q11.2DS follow-up, and also in non-CHDs patients, to improve long-term outcome.
Efficient Matching Technique for D2MD Radio Resource Allocations in B5G/6G Heterogeneous Networks

Because of the enormous burden posed by a large number of real-time applications and devices, we should have promising solutions that will ensure network performance despite the network’s heterogeneity. Device-to-Multi-Device (D2MD) is one of the cutting-edge technologies that has great promise for fifth-generation (5G) and beyond Fifth-generation (B5G)/Sixth Generation 6G, and it will significantly improve network performance as a whole. Due to the network’s heterogeneity, we must assign a significant amount of spectrum resources, so we must come up with workable alternatives. Clustering techniques aid in resource management, particularly when network resources are scarce. In this paper, we investigate the cluster formation problem and user collations assignment by using the One-to-Many resource allocation scheme. Cluster formation is formulated as cluster head (CH) and cluster requesters’ nodes (CRns). The optimization problem is done by proposing a matching theory with two-sided using Gale shapely algorithm and user collations assignment after selecting the appropriate (CH). Each cluster is ruled by only one (CH) and multiple (CRns) but is limited to guaranteeing the Quality of service (QoS) and mitigation of interference.
Identification of a novel anoikis‐related gene signature to predict prognosis and tumor microenvironment in lung adenocarcinoma

Lung adenocarcinoma (LUAD) is the most prevalent histotype of non‐small cell lung cancer. Anoikis, an alternative form of programmed cell death, plays a pivotal role in cancer invasion and metastasis, preventing the detached cancer cells from readhering to other substrates for abnormal proliferation. The aim of this study was to conduct a comprehensive analyses of the prognostic implications of anoikis‐related genes (ARGs) in LUAD.
Cas9-Mediated Nanopore Sequencing Enables Precise Characterization of Structural Variants in CCM Genes

Deletions in the CCM1, CCM2, and CCM3 genes are a common cause of familial cerebral cavernous malformations (CCMs). In current molecular genetic laboratories, targeted next-generation sequencing or multiplex ligation-dependent probe amplification are mostly used to identify copy number variants (CNVs). However, both techniques are limited in their ability to specify the breakpoints of CNVs and identify complex structural variants (SVs). To overcome these constraints, we established a targeted Cas9-mediated nanopore sequencing approach for CNV detection with single nucleotide resolution. Using a MinION device, we achieved complete coverage for the CCM genes and determined the exact size of CNVs in positive controls. Long-read sequencing for a CCM1 and CCM2 CNV revealed that the adjacent ANKIB1 and NACAD genes were also partially or completely deleted. In addition, an interchromosomal insertion and an inversion in CCM2 were reliably re-identified by long-read sequencing. The refinement of CNV breakpoints by long-read sequencing enabled fast and inexpensive PCR-based variant confirmation, which is highly desirable to reduce costs in subsequent family analyses. In conclusion, Cas9-mediated nanopore sequencing is a cost-effective and flexible tool for molecular genetic diagnostics which can be easily adapted to various target regions.
Social Alignment Contagion in Online Social Networks

Researchers have already observed social contagion effects in both in-person and online interactions. However, such studies have primarily focused on users’ beliefs, mental states, and interests. In this article, we expand the state of the art by exploring the impact of social contagion on social alignment, i.e., whether the decision to socially align oneself with the general opinion of the users on the social network is contagious to one’s connections on the network or not. The novelty of our work in this article includes: 1) unlike earlier work, this article is among the first to explore the contagiousness of the concept of social alignment on social networks; 2) our work adopts an instrumental variable approach to determine reliable causal relations between observed social contagion effects on the social network; and 3) our work expands beyond the mere presence of contagion in social alignment and also explores the role of population heterogeneity on social alignment contagion. Based on the systematic collection and analysis of data from two large social network platforms, namely, Twitter and Foursquare, we find that a user’s decision to socially align or distance from social topics and sentiments influences the social alignment decisions of their connections on the social network. We further find that such social alignment decisions are significantly impacted by population heterogeneity.
Matchmaking under uncertainty: how hiring criteria and requirements in professional work are co-created

PurposeThe aim of the study is to understand how the hiring process develops in cases where there are no explicit or formal requirements. How do implicit and informal criteria and requirements impact the process of selecting the right candidate? Design/methodology/approachA qualitative approach was employed through the use of semi-structured interviews with 47 external recruitment consultants in the south of England.FindingsIn contrast to what is assumed in mainstream Human Resource Management literature, employers do not rely on a comprehensive implicit understanding of what is needed in cases where there are no explicit criteria and requirements. Instead, high uncertainty makes the development of criteria and requirements incremental and negotiable but also problematic. The analysis shows that three mechanisms compensate for the lack of certainty in the hiring process. First, interviews with applicants shape how the hiring criteria develop. Second, market signals of what is available in the labour market help construct the criteria and requirements. Third, criteria and requirements are interpreted and negotiated during interactions with recruiters and others.Originality/valueHiring without explicit requirements and criteria is often understood as rather unproblematic and/or not fundamentally distinct from hiring with them. The study shows that in these cases the process becomes more unpredictable and more open to interpretation and negotiation.
Silk Fibroin Biomaterials and Their Beneficial Role in Skin Wound Healing

The skin, acting as the outer protection of the human body, is most vulnerable to injury. Wound healing can often be impaired, leading to chronic, hard-to-heal wounds. For this reason, searching for the most effective dressings that can significantly enhance the wound healing process is necessary. In this regard, silk fibroin, a protein derived from silk fibres that has excellent properties, is noteworthy. Silk fibroin is highly biocompatible and biodegradable. It can easily make various dressings, which can be loaded with additional substances to improve healing. Dressings based on silk fibroin have anti-inflammatory, pro-angiogenic properties and significantly accelerate skin wound healing, even compared to commercially available wound dressings. Animal studies confirm the beneficial influence of silk fibroin in wound healing. Clinical research focusing on fibroin dressings is also promising. These properties make silk fibroin a remarkable natural material for creating innovative, simple, and effective dressings for skin wound healing. In this review, we summarise the application of silk fibroin biomaterials as wound dressings in full-thickness, burn, and diabetic wounds in preclinical and clinical settings.
Investigation of Parasitic Nematodes Detected in the Feces of Wild Carnivores in the Eastern Qinghai-Tibet Plateau, China

Wildlife shares grazing areas with herders in the eastern Qinghai-Tibet Plateau, and humans can be infected by zoonotic nematodes through direct contact with animals or contaminated water. In this study, fecal samples (n = 296) from wild carnivores were collected to explore the infection rate and molecular genetic characteristics of nematodes by stratified random sampling in the survey areas. Host species and the nematodes they carried were then identified using 16S rRNA and 18S rRNA gene sequencing, respectively. Statistical analysis, neutrality tests, genetic diversity analysis and Bayesian inferred trees were performed to complete the study. In total, 10 species of nematodes were detected in 240 feces from six species of carnivores identified (including dominant Vulpes ferrilata and Vulpes vulpes), namely Uncinaria stenocephala, Toxascaris sp. , Crenosoma vulpis, Parapharyngodon bainae, Oesophagostomum muntiacum, Aspiculuris tetraptera, Mastophorus muris, Nematodirus spathiger, Muellerius capillaris, and Molineus patens. Among these nematodes, U. stenocephala (35.83%, 86/240) and Toxascaris sp. (14.58%, 35/240) were detected at higher rates than the other nematodes (χ2 = 516.909, p < 0.05). Of 17 and 18 haplotypes were found based on the ITS1 gene for U. stenocephala and nad1 gene for Toxascaris sp. , respectively. For the first time, using molecular methods, we report the infection of V. ferrilata by U. stenocephala, a potential zoonotic parasite, and suggest Toxascaris sp. may be a newly discovered nematode that lives within the fox intestine.
Some developments and applications of microfocus X-ray diffraction techniques

This paper describes a low angle X-ray scattering camera, a microbeam camera and an electron gun for a microfocus X-ray tube. In the low angle scattering camera which can resolve a spacing of 1000 A using CuK radiation, the X-ray beam is totally reflected by two crossed bent glass plates, which focus the relatively intense beam on to a small spot on the film. Provision is made for accurately positioning a selected area of the specimen in the path of the beam. This facility is also provided in the microbeam camera for transmission and back reflexion work. In the electron gun, focusing is facilitated by independent adjustments of the positions of the filament and grid cylinder, while the tube is in operation.