Miracle-dz/UniFAR-FTUs huggingface dataset:
Machine Learning and Explainable Artificial Intelligence Using Counterfactual Explanations for Evaluating Posture Parameters

Postural deficits such as hyperlordosis (hollow back) or hyperkyphosis (hunchback) are relevant health issues. Diagnoses depend on the experience of the examiner and are, therefore, often subjective and prone to errors. Machine learning (ML) methods in combination with explainable artificial intelligence (XAI) tools have proven useful for providing an objective, data-based orientation. However, only a few works have considered posture parameters, leaving the potential for more human-friendly XAI interpretations still untouched. Therefore, the present work proposes an objective, data-driven ML system for medical decision support that enables especially human-friendly interpretations using counterfactual explanations (CFs). The posture data for 1151 subjects were recorded by means of stereophotogrammetry. An expert-based classification of the subjects regarding the presence of hyperlordosis or hyperkyphosis was initially performed. Using a Gaussian progress classifier, the models were trained and interpreted using CFs. The label errors were flagged and re-evaluated using confident learning. Very good classification performances for both hyperlordosis and hyperkyphosis were found, whereby the re-evaluation and correction of the test labels led to a significant improvement (MPRAUC = 0.97). A statistical evaluation showed that the CFs seemed to be plausible, in general. In the context of personalized medicine, the present study’s approach could be of importance for reducing diagnostic errors and thereby improving the individual adaptation of therapeutic measures. Likewise, it could be a basis for the development of apps for preventive posture assessment.
Risk of Coronary Occlusion Due to Sinus Sequestration by Redo Transcatheter Aortic Valve Implantation in Japanese Patients With SAPIEN 3

Background: Transcatheter aortic valve (TAV)-in-TAV is an attractive treatment for degenerated TAV. The risk of coronary artery occlusion due to sequestration of the sinus of Valsalva (SOV) in TAV-in-TAV has been reported, but the risk in Japanese patients is unknown. This study aimed to investigate the proportion of Japanese patients who are expected to experience difficulty with the second TAV implantation (TAVI) and evaluate the possibility of reducing the risk of coronary artery occlusion. Methods and Results: Patients (n=308) with an implanted SAPIEN 3 were divided into 2 groups: a high-risk group, which included patients with a TAV–sinotubular junction (STJ) distance <2 mm and a risk plane above the STJ (n=121); and a low-risk group, which included all other patients (n=187). The preoperative SOV diameter, mean STJ diameter, and STJ height were significantly larger in the low-risk group (P<0.05). The cut-off value for predicting the risk of SOV sequestration due to TAV-in-TAV in the difference between the mean STJ diameter and area-derived annulus diameter was 3.0 mm (sensitivity 70%; specificity 68%; area under the curve 0.74). Conclusions: Japanese patients may have a higher risk for sinus sequestration caused by TAV-in-TAV. The risk of sinus sequestration should be assessed before the first TAVI in young patients who are likely to require TAV-in-TAV, and whether TAVI is the best aortic valve therapy must be carefully decided.
A web application for reasoning on probabilistic description logics knowledge bases

The aim of the Semantic Web is making information and resources from the Web automatically processable by machines. Usually, the uncertainty characterizing much of this information is addressed by means of a probabilistic semantics. Following the vision of a “Probabilistic Semantic Web”, a plethora of probabilistic semantics have been proposed: some of them change the syntax and/or the semantics itself of the knowledge representation language, others allow one to annotate axioms of a knowledge base with a probability value. Among the latter, the DISPONTE semantics exploits probabilistic annotations to extend query answering with the capability of returning the probability of a query being true in a domain. In order to promote the adoption of Probabilistic Semantic Web we first developed BUNDLE, a framework that can exploit different underlying (probabilistic and non‐probabilistic) reasoners to perform probabilistic inference under the DISPONTE semantics. In this paper we present a web application for BUNDLE, to show how DISPONTE is easily usable even in already established applications and systems. It allows users to query a DISPONTE knowledge base written or uploaded directly in the application interface by using just a web browser, without the need to install any software on their machine. It is accessible on the web at https://bundle.ml. unife.it/ and also provides some examples for familiarizing with the application. The results of a usability evaluation involving human participants are also reported, showing the relevance and the practical impact of the tool and possible ways for improvement.
The E3 Ubiquitin Ligase TRIM21 Regulates Basal Levels of PDGFRβ

Activation of platelet-derived growth factor (PDGF) receptors α and β (PDGFRα and PDGFRβ) at the cell surface by binding of PDGF isoforms leads to internalization of receptors, which affects the amplitude and kinetics of signaling. Ubiquitination of PDGF receptors in response to ligand stimulation is mediated by the Casitas b-lineage lymphoma (Cbl) family of ubiquitin ligases, promoting internalization and serving as a sorting signal for vesicular trafficking of receptors. We report here that another E3 ligase, i.e., tripartite motif-containing protein 21 (TRIM21), contributes to the ubiquitination of PDGFRβ in human primary fibroblasts AG1523 and the osteosarcoma cell line U2OS and regulates basal levels of PDGFRβ. We found that siRNA-mediated depletion of TRIM21 led to decreased ubiquitination of PDGFRβ in response to PDGF-BB stimulation, while internalization from the cell surface and the rate of ligand-induced degradation of the receptor were not affected. Moreover, induction of TRIM21 decreased the levels of PDGFRβ in serum-starved cells, and even more in growing cells, in the absence of PDGF stimulation. Consistently, siRNA knockdown of TRIM21 caused accumulation of the total amount of PDGFRβ, both in the cytoplasm and on the cell surface, without affecting mRNA levels of the receptor. We conclude that TRIM21 acts post-translationally and maintains basal levels of PDGFRβ, thus suggesting that ubiquitination of PDGFRβ by TRIM21 may direct a portion of receptor for degradation in growing cells in a ligand-independent manner.
The Influence of Antibodies against Angiotensin II Type-1 Receptor on the Outcome of Kidney Transplantation: A Single-Center Retrospective Study

Allo- and autoimmune mechanisms are involved in kidney allograft rejection and loss. This study investigates the impact of anti-angiotensin II type-1 receptor antibodies (anti-AT1RAbs) detected alone or in association with HLA donor-specific antibodies (HLA-DSAs) on the outcome of kidney transplantation (KTx). Anti-AT1RAbs and HLA-DSAs were detected in 71 kidney transplant (KT) recipients who developed biopsy-proven acute or chronic active T-cell rejection (TCMR) (n = 51) or antibody-mediated rejection (ABMR) (n = 20), forming the rejection group (RG). The control group (CG) included 71 KTx recipients with comparable characteristics without rejection. All patients had been transplanted with negative T/B flow crossmatch (T/BFCXM). The median follow-up period was 3.7 years. Antibodies were determined pre- and periodically post-KTx by Luminex method for HLA-DSAs and enzyme-linked immunosorbent assay for anti-AT1RAbs. Before KTx, twenty-three (32.4%) patients in the RG, sixteen with TCMR and seven with ABMR, were found anti-AT1Rabs-positive (≥10 U/mL) versus eleven (15.5%) patients in the CG (p = 0.031). Simultaneous detection of preformed anti-AT1RAbs and HLA-DSAs was found in five patients of the RG versus two of the CG (p = 0.355). At the time of transplant biopsy, fifteen (21.1%) patients, four with ABMR and eleven with TCMR, were positive for anti-AT1RAbs. Anti-AT1RAbs and HLA-DSAs were detected simultaneously in 7/15 (46.7%) cases, three with ABMR and four with TCMR. During the follow-up, thirteen (18.3%) patients in the RG, eight with ABMR and five with TCMR, lost their graft compared to one patient (1.4%) in the CG (p = 0.001). Six out of thirteen (46.2%) RG patients who lost the graft were found positive for anti-AT1RAbs pretransplant. Patient survival with functioning graft did not differ significantly between anti-AT1Rabs-positive and negative KT recipients (log-rank p = 0.88). Simultaneous detection of anti-ATR1Abs and HLA-DSAs did not have a significant influence on patient survival with functioning graft (log-rank p = 0.96). Graft function at the end of the follow-up was better, but not significantly, in anti-AT1Rabs-negative patients, with serum creatinine 1.48 [1.20–1.98] mg/dL and eGFR (CKD-EPI) 48.5 [33.5–59.0] mL/min/1.73 m2, compared to anti-AT1Rabs-positive ones who had serum creatinine 1.65 [1.24–2.02] mg/dL (p = 0.394) and eGFR (CKD-EPI) 47.0 [34.8–60.3] mL/min/1.73 m2 (p = 0.966). Anti-AT1RAbs detection pretransplant characterizes KT recipients at increased risk of cellular or antibody-mediated rejection. Furthermore, anti-AT1RAbs, detected alone or simultaneously with HLA-DSAs, appear to be associated with impaired graft function, but their role in graft survival has not been documented in this study. Screening for these antibodies appears to complement pretransplant immunological risk assessment.
Intercity Rail Transit Platform Anomaly Detection Using Door Tracking-Based Key Frame Extraction and AnoDet Network

The anomalies in the risk space between platform doors and trains will threaten the safety of intercity rail transit. However, performing anomaly detection (AD) tasks with an accurate grasp of the time gap between the train doors closed and the train departure is challenging. The scarcity of anomalous samples and the lack of prior knowledge of anomalies also pose considerable obstacles to AD. To solve the aforementioned problems, a method based on key frames extraction and a two-stage Transformer network is proposed. The switch statuses of the train door are extracted by the door tracking algorithm, which effectively provides key frames for subsequent AD. An end-to-end two-stage Transformer, which is named AnoDet, is proposed for unsupervised anomaly localization and supervised multiclassification. The AnoDet is based on an image masking strategy, dual-channel network, knowledge migration base (KMB), and anomaly object classification set prediction loss. The unsupervised localization model first utilizes the masking strategy to remove a large number of image patches that may contain anomalies in the inputs. Then, it trains a dual-channel network based on the remaining normal patches to inpaint anomalous inputs into normal images. The supervised classifier proposes a KMB to provide prior knowledge of anomalies and alleviate the scarcity of anomalous samples. It also introduces a set prediction loss to achieve a natural connection with the unsupervised model. In the intercity rail station anomaly (IRSA) dataset, our method achieves 97.8% precision and 96.6% recall for anomaly localization and obtains 88.9% mean average precision (mAP) for multiclassification, outperforming the state-of-the-arts.
Rethinking the regularity in mobility patterns of personal vehicle drivers: A multi‐city comparison using a feature engineering approach

Large‐scale trajectory data offer a finer lens into the regularity in individual mobility choices. Previous studies have exerted efforts to measure the regularity in people's location visiting patterns. However, the complexity of travel behavior at different spatial and temporal scales has not been adequately considered. To capture regularity in a more comprehensive manner, we construct human mobility profiles with interpretable features at three levels, that is, location, motif, and route, on personal vehicle drivers. A feature engineering approach is designed to analyze the extent to which individuals exhibit multi‐level regularity. The analysis pipeline includes feature selection, user segmentation and profiling, and feature importance evaluation. Our empirical study analyzed over 4 million trips of 3743 personal vehicle drivers collected over a month in six metropolitan areas in the United States. The weak correlations between features confirm the validity of quantifying regularity from different aspects. We discovered five clusters of drivers (i.e., gig drivers, homebodies, movers, typical drivers, and work‐focused commuters) that differ in their regularity to commute to the workplace and the inclination to participate in non‐work activities. A similar driver segmentation and profiling pattern is found in all of the studied metro areas. The minor differences are interpreted from the distribution of mobility features and urban features. The proposed method using multi‐level feature engineering provides a generic framework to study regularity and can be readily adapted to other mobility data sources by customizing the features. The improved understanding of mobility patterns within the built environment is valuable for innovating urban transportation solutions.
Investigations on Wide-Gap Al0.21Ga0.79N Channel MOS-HFETs With In0.12Al0.76Ga0.12N Barrier/Buffer and Drain Field-Plate

This work investigates, for the first time, wide-gap Al0.21Ga0. 79N channel metal-oxide-semiconductor heterostructure field-effect transistors (MOS-HFETs) with In0.12Al0. 76Ga0.12N barrier/buffer and drain field-plate (DFP) designs. High-k and wide-gap Al2O3 was grown as the gate oxide and surface passivation by using non-vacuum ultrasonic spray pyrolysis deposition (USPD) technique. A control device having the same epitaxial layers, except with In0.12Al0. 88N barrier/buffer was studied in comparison. Enhanced spontaneous polarization effect, improved interfacial quality, and enhanced carrier confinement have been achieved by using the In0.12Al0. 76Ga0.12N barrier/buffer design, which has successfully resulted in improved carrier transport, increased electron concentration, and high current densities. The present In0.12Al0. 76Ga0.12N/AlN/Al0.21Ga0. 79N MOS-HFET design with (without) DFP design has demonstrated superior maximum drain-source current density <inline-formula> <tex-math notation="LaTeX">$(I_{DS, max})$ </tex-math></inline-formula> of >1 (>1) A/mm at <inline-formula> <tex-math notation="LaTeX">$V_{DS}\,\,=$ </tex-math></inline-formula> 20 V, high saturated drain-source current density at <inline-formula> <tex-math notation="LaTeX">$V_{GS}\,\,=$ </tex-math></inline-formula> 0 V <inline-formula> <tex-math notation="LaTeX">$(I_{DSS0})$ </tex-math></inline-formula> of 791.1 (755) mA/mm, and low specific on-resistance <inline-formula> <tex-math notation="LaTeX">$(R_{on, sp})$ </tex-math></inline-formula> of 2.83 (2.81) <inline-formula> <tex-math notation="LaTeX">$\text{m}\Omega $ </tex-math></inline-formula>/cm 2. High device figure-of-merit (FOM) on <inline-formula> <tex-math notation="LaTeX">$BV_{DS}^{2}/R_{on, sp}$ </tex-math></inline-formula> of 93.7 (75.4) MW/cm 2 was also obtained with the three-terminal on-state drain-source breakdown voltage <inline-formula> <tex-math notation="LaTeX">$(BV_{DS})$ </tex-math></inline-formula> of 515 (460) V. The present design is promisingly advantageous to high-current and high-voltage power-switching circuit applications.
Direct and Dural Carotid Cavernous Sinus Fistulas: Comparison of Clinical Characteristics

Purpose To compare the clinical characteristics of patients with direct and dural carotid cavernous sinus fistulas (CCFs). Methods The medical records of 60 patients diagnosed with CCFs were retrospectively reviewed. The collected data included demographic characteristics, clinical findings, and ocular manifestation. The clinical characteristics of the direct and the dural CCFs were compared on head-to-head basis. Logistic regression analysis was used to demonstrate the direction and magnitude of the difference and reported as odds ratio with its 95% confidence interval. Results There were 28 patients (46.67%) with direct CCFs, and 32 patients (53.33%) with dural CCFs. Patients with direct CCF were mostly male (p=0.023), younger age (p<0.001), had history of trauma (p<0.001), and more visual impairment at presentation (p=0.025), when compared to those with dural CCFs. In addition, patients with direct CCF had significantly more chemosis (p=0.005), proptosis (p=0.042), bruit (p<0.001) and dilated retinal vessels (p=0.008) than those with dural CCF. Thirty patients (50%) had increased intraocular pressure (IOP). Mean IOP of the affected eyes was significantly higher than the unaffected eyes (p<0.0001). In patients with normal IOP, mean IOP of the affected eyes was also higher than the unaffected eyes (p=0.0027). Conclusion Patients with direct CCF were younger age, associated with trauma, and more visual impairment at presentation. Chemosis, proptosis, bruit and dilated retinal vessels were detected more in the direct CCF than the dural CCF. Despite normal IOP, affected eyes had significantly higher IOP than the unaffected eyes. Information on these clinical characteristics may be helpful in discrimination of the direct type, which is more urgent for further investigation and treatment.
Mesenchymal Tumors of the Breast: Fibroblastic/Myofibroblastic Lesions and Other Lesions

Mesenchymal breast tumors are a rare and diverse group of tumors that present some of the most challenging cases for multidisciplinary breast cancer teams. As a result of overlapping morphologies and a lack of large-scale studies on these tumors, practices are often heterogeneous and slow to evolve. Herein, we present a non-systematic review that focuses on progress, or lack thereof, in the field of mesenchymal breast tumors. We focus on tumors originating from fibroblastic/myofibroblastic cells and tumors originating from less common cellular origins (smooth muscle, neural tissue, adipose tissue, vascular tissue, etc.).
The Role of Ryanodine Receptors in Regulating Neuronal Activity and Its Connection to the Development of Alzheimer’s Disease

Research into the early impacts of Alzheimer’s disease (AD) on synapse function is one of the most promising approaches to finding a treatment. In this context, we have recently demonstrated that the Abeta42 peptide, which builds up in the brain during the processing of the amyloid precursor protein (APP), targets the ryanodine receptors (RyRs) of mouse hippocampal neurons and potentiates calcium (Ca2+) release from the endoplasmic reticulum (ER). The uncontrolled increase in intracellular calcium concentration ([Ca2+]i), leading to the development of Ca2+ dysregulation events and related excitable and synaptic dysfunctions, is a consolidated hallmark of AD onset and possibly other neurodegenerative diseases. Since RyRs contribute to increasing [Ca2+]i and are thought to be a promising target for AD treatment, the goal of this review is to summarize the current level of knowledge regarding the involvement of RyRs in governing neuronal function both in physiological conditions and during the onset of AD.
Glymphatic clearance estimated using diffusion tensor imaging along perivascular spaces is reduced after traumatic brain injury and correlates with plasma neurofilament light, a biomarker of injury severity

Abstract The glymphatic system is a perivascular fluid clearance system, most active during sleep, considered important for clearing the brain of waste products and toxins. Glymphatic failure is hypothesized to underlie brain protein deposition in neurodegenerative disorders like Alzheimer’s disease. Preclinical evidence suggests that a functioning glymphatic system is also essential for recovery from traumatic brain injury, which involves release of debris and toxic proteins that need to be cleared from the brain. In a cross-sectional observational study, we estimated glymphatic clearance using diffusion tensor imaging along perivascular spaces, an MRI-derived measure of water diffusivity surrounding veins in the periventricular region, in 13 non-injured controls and 37 subjects who had experienced traumatic brain injury ∼5 months previously. We additionally measured the volume of the perivascular space using T2-weighted MRI. We measured plasma concentrations of neurofilament light chain, a biomarker of injury severity, in a subset of subjects. Diffusion tensor imaging along perivascular spaces index was modestly though significantly lower in subjects with traumatic brain injury compared with controls when covarying for age. Diffusion tensor imaging along perivascular spaces index was significantly, negatively correlated with blood levels of neurofilament light chain. Perivascular space volume did not differ in subjects with traumatic brain injury as compared with controls and did not correlate with blood levels of neurofilament light chain, suggesting it may be a less sensitive measure for injury-related perivascular clearance changes. Glymphatic impairment after traumatic brain injury could be due to mechanisms such as mislocalization of glymphatic water channels, inflammation, proteinopathy and/or sleep disruption. Diffusion tensor imaging along perivascular spaces is a promising method for estimating glymphatic clearance, though additional work is needed to confirm results and assess associations with outcome. Understanding changes in glymphatic functioning following traumatic brain injury could inform novel therapies to improve short-term recovery and reduce later risk of neurodegeneration.
The Effect of Erythritol Injection in Decreasing of Abortion Rate in Local Breed Ewes

This study designed to evaluate the effect of Erythritol injection in decreasing of abortion rate in local breed ewes. Fifty pregnant ewes from local breed aged 2–4 years with a history of abortion except G1, were fed ad libitum hay and grains with water. The study was carried out in Salah Aldein province at special farm at a period of July–November 2022. These animals were tests for brucella by using rose Bengal and ELISA at zero day for confirmation; these animals were divided into 5 groups: G1 was brucella −ve and pregnant at 60 days, G2 was brucella +ve and pregnant at 60 days, G3 brucella+ve pregnant animals and treated by antibiotics gentamicin 10%, 3 ml/animal for 3 days, G4 brucella +ve and pregnant and giving erythritol, 10 ml S/C of 10% solution (solve in water and glycerol), and G5 was brucella +ve, and all pregnant and giving Erythritol+ gentamycin 10%, 3 ml/animal for 3 days. The experiment takes 12 weeks. Blood was withdrawn at different times of experiment (0, 2 weeks and end of experiment). The seroprevalence of brucellosis was shown that all animals at G4 and G5 where seropositive after 14 days of experiment, at end of pregnancy the seropositivity were highly significantly in G4 and G5 as compared with another groups. The current results showed that percentages of abortion were higher in G2, followed by G3, while it has been reduced significantly in G4 and G1. In conclusion, Erythritol alone can decrease the rate of abortion by making the bacteria extracellular far from placenta and evading of infection by immunity and/or gentamicin injection. Also, erythritol can be used as elicit diagnosis of brucellosis in latent infected animals.