Miracle-dz/UniFAR-FTUs huggingface dataset:
The order of sequential exposure of U2OS cells to gamma and alpha radiation influences the formation and decay dynamics of NBS1 foci

DNA double strand breaks (DSBs) are a deleterious form of DNA damage. Densely ionising alpha radiation predominantly induces complex DSBs and sparsely ionising gamma radiation—simple DSBs. We have shown that alphas and gammas, when applied simultaneously, interact in producing a higher DNA damage response (DDR) than predicted by additivity. The mechanisms of the interaction remain obscure. The present study aimed at testing whether the sequence of exposure to alphas and gammas has an impact on the DDR, visualised by live NBS1-GFP (green fluorescent protein) focus dynamics in U2OS cells. Focus formation, decay, intensity and mobility were analysed up to 5 h post exposure. Focus frequencies directly after sequential alpha → gamma and gamma → alpha exposure were similar to gamma alone, but gamma → alpha foci quickly declined below the expected values. Focus intensities and areas following alpha alone and alpha → gamma were larger than after gamma alone and gamma → alpha. Focus movement was most strongly attenuated by alpha → gamma. Overall, sequential alpha → gamma exposure induced the strongest change in characteristics and dynamics of NBS1-GFP foci. Possible explanation is that activation of the DDR is stronger when alpha-induced DNA damage precedes gamma-induced DNA damage.
Immunotherapy Plus Radiotherapy for the Treatment of Sarcomas: Is There a Potential for Synergism?

Abstract Soft tissue sarcoma (STS) is a highly heterogeneous malignant tumor derived from mesenchymal tissue. Advanced STS has a poor response to the current anti-cancer therapeutic options, with a median overall survival of less than two years. Thus, new and more effective treatment methods for STS are needed. Increasing evidence has shown that immunotherapy and radiotherapy have synergistic therapeutic effects against malignant tumors. In addition, immunoradiotherapy has yielded positive results in clinical trials for various cancers. In this review, we discuss the synergistic mechanism of immunoradiotherapy in cancer treatment and the application of this combined regimen for the treatment of several cancers. In addition, we summarize the existing evidence on the use of immunoradiotherapy for the treatment of STS and the relevant clinical trials that are currently ongoing. Furthermore, we identify challenges in the use of immunoradiotherapy for the treatment of sarcomas and propose methods and precautions for overcoming these challenges. Lastly, we propose clinical research strategies and future research directions to help in the research and treatment of STS.
TWO-SIDED SYMMETRIC CONDITION IN THE ANALYSIS OF MAGNETIC FIELDS WITH PERMANENT MAGNETS*

Mathematicaltreatmentofaplanarmagneticfieldexcitedbypermanentmag- nets is presented. A special two-sided condition for dieren tial magnetic reluctivity is introducedtoprovetheuniqueexistenceofboththeweakandtheapproximatesolutions andalsoacertainerrorestimate. Notestonumericalalgorithmandpracticalapplications aregiven.
Geometry and Bound States of the Magnetic Schrödinger Operator

In this dissertation we establish that the Schrodinger equation with magnetic field can be analyzed with the famous semiclassical methods: normal forms (and symplectic geometry), coherents states, WKB expansions, Feshbach projections, Born-Oppenheimer approximation. Using these deep ideas, the effects of the geometry and of the electro-magnetic fields are optimally quantified. The body of works that this dissertation presents leads to a general theory which permits to reinterpret and improve many of the results of the last fifteen years.
Perceived benefits of digital health and social services among older adults: A population-based cross-sectional survey

Objective The aim of this study was to describe the benefits of digital health and social services perceived by older adults and to examine factors associated with perceiving these benefits. Several factors related to (a) sociodemographic characteristics, (b) area of residence, (c) physical, cognitive, psychological, and social functioning, and (d) Internet use, were examined. Methods The present sample included 8019 respondents aged between 75 and 99 years. The inverse probability weighting method was used to correct for bias. Linear regression analyses were used to examine the associations. Results The ease of use of the services regardless of the time and location was perceived as the most beneficial. Convenient distance to local health or social services (parameter estimate = 0.15 [0.08–0.23]), good functional ability (PE = 0.08 [0.01–0.14]), good vision (PE = 0.15 [0.04–0.25]), ability to learn (PE = 0.05 [0.01–0.10]) and living with someone (PE = 0.08 [95% CI 0.04–0.13]) were associated with perceiving more benefits. In addition, access to the Internet (PE = 0.12 [0.06–0.19]) and independent use of the Internet (PE = 0.23 [0.17–0.29]) were associated with perceiving more benefits. Conclusions Older adults who are healthier, have a social relationship in their everyday life or have easier access to traditional services seem to perceive more benefits from digital health and social services. Digital services should be developed to correspond with special needs caused by disadvantages in health and the social environment. To facilitate the use of digital health and social services, more efforts should be made to enhance older adults’ perceptions of their benefits.
Identification and Characterization of a Vancomycin Intermediate-Resistant Staphylococcus haemolyticus Isolated from Guangzhou, China

Background Staphylococcus haemolyticus is an opportunistic pathogen that belongs to coagulase-negative Staphylococci (CoNS). Increasing infection and multi-drug resistance cases caused by this strain have been reported and thus it poses a great health threat. Methods The third-generation sequencing technology was performed on a S. haemolyticus SH-1 isolated from a clinical sample to analyze the drug resistance genes, which included vancomycin resistance related genes. In addition, antimicrobial susceptibility tests, transmission electron microscopy and Triton X-100 stimulated autolysis were conducted to understand its biological characteristics. Results The study shows that this clinical isolate is a vancomycin intermediate-resistant strain. Genome comparison also revealed that WalK(N70K) and WalK(R280Q) mutations may contribute to the vancomycin resistant phenotype. Besides, S. haemolyticus SH-1 exhibit common features of thicker cell wall and decreased autolytic activity. Conclusion S. haemolyticus SH-1 with WalKR mutations shows typical characteristics of vancomycin resistant strains. Combining the genome features and biological properties, our findings may provide important information for the understanding of the molecular mechanism of S. haemolyticus to vancomycin intermediate-resistance.
Dynamics of reduced graphene oxide: synthesis and structural models

Technological advancements are leading to an upsurge in demand for functional materials that satisfy several of humankind's needs. In addition to this, the current global drive is to develop materials with high efficacy in intended applications whilst practising green chemistry principles to ensure sustainability. Carbon-based materials, such as reduced graphene oxide (RGO), in particular, can possibly meet this criterion because they can be derived from waste biomass (a renewable material), possibly synthesised at low temperatures without the use of hazardous chemicals, and are biodegradable (owing to their organic nature), among other characteristics. Additionally, RGO as a carbon-based material is gaining momentum in several applications due to its lightweight, nontoxicity, excellent flexibility, tuneable band gap (from reduction), higher electrical conductivity (relative to graphene oxide, GO), low cost (owing to the natural abundance of carbon), and potentially facile and scalable synthesis protocols. Despite these attributes, the possible structures of RGO are still numerous with notable critical variations and the synthesis procedures have been dynamic. Herein, we summarize the highlights from the historical breakthroughs in understanding the structure of RGO (from the perspective of GO) and the recent state-of-the-art synthesis protocols, covering the period from 2020 to 2023. These are key aspects in the realisation of the full potential of RGO materials through the tailoring of physicochemical properties and reproducibility. The reviewed work highlights the merits and prospects of the physicochemical properties of RGO toward achieving sustainable, environmentally friendly, low-cost, and high-performing materials at a large scale for use in functional devices/processes to pave the way for commercialisation. This can drive the sustainability and commercial viability aspects of RGO as a material.
A COMPARISON OF PARTICLE SWARM OPTIMIZATION AND THE GENETIC ALGORITHM

Particle Swarm Optimization (PSO) is a relatively recent heuristic search method whose mechanics are inspired by the swarming or collaborative behavior of biological populations. PSO is similar to the Genetic Algorithm (GA) in the sense that these two evolutionary heuristics are population-based search methods. In other words, PSO and the GA move from a set of points (population) to another set of points in a single iteration with likely improvement using a combination of deterministic and probabilistic rules. The GA and its many versions have been popular in academia and the industry mainly because of its intuitiveness, ease of implementation, and the ability to effectively solve highly nonlinear, mixed integer optimization problems that are typical of complex engineering systems. The drawback of the GA is its expensive computational cost. This paper attempts to examine the claim that PSO has the same effectiveness (finding the true global optimal solution) as the GA but with significantly better computational efficiency (less function evaluations) by implementing statistical analysis and formal hypothesis testing. The performance comparison of the GA and PSO is implemented using a set of benchmark test problems as well as two space systems design optimization problems, namely, telescope array configuration and spacecraft reliability-based design.
Rapid metachronous bladder metastasis of type 2 papillary renal cell carcinoma

ABSTRACT Renal cell carcinoma (RCC) frequently spreads to distant organs like the lung, lymph nodes, bone, and liver. However, there have been some reports of RCC bladder metastasis. We present a case of a 61-year-old man presented with total painless gross hematuria. The patient had a history of right radical nephrectomy for papillary (type 2) RCC, high-grade, pT3a with negative surgical margins. There was no evidence of metastases on 6-month surveillance CT. After one-year post-operation, at this current admission, the cystoscopy discovered a solid bladder mass away from the trigone in the right lateral bladder wall. The resected bladder mass was metastatic papillary RCC with PAX-8 positive but GATA-3 negative on immunostaining. A positron emission tomography scan confirmed multiple lung, liver, and osseous metastases. This case report can highlight the importance of having bladder metastasis in RCC mind, although rare, and may necessitate the surveillance measures like urine analysis at more frequent interval and CT Urography instead of regular CT to detect the RCC metastatic bladder cancer at early stage.
Gianotti-Crosti Syndrome: A Benign Dermatosis

Gianotti-Crosti syndrome (GCS) is a benign acral dermatitis commonly seen in children younger than five years of age with no gender predilection. Clinical features are often vague, including but not limited to fever, lymphadenopathy, and erythematous papular rash that commonly spares the trunk, palms, and soles of the feet. It is presumably underdiagnosed as most children presenting with a widespread papular rash are diagnosed with non-specific viral exanthem. This benign condition has been linked to multiple viruses, and treatment is mainly supportive. We present a previously healthy 18-month-old girl who presented to the emergency room with a progressive skin rash and low-grade fever 10 days after receiving routine immunizations. GCS was diagnosed, and she received supportive care with spontaneous resolution of symptoms in four weeks.
Aplicación del método de las DFDT a la simulación de dispositivos ópticos

The aim of this work is to apply the difference time domain method for simulating optical devices. The wavelength used in optics makes harder the use of this algorithm in terms of time of processing. In this work different formalisms has been added such as near field to far field transformation, which has permitted to apply this algorithm to simulate optical devices like thin film filters and diffraction gratings. Satisfactory results has been achieved.The irradiance pattern obtained by the FDTD in far field (Fraunhofer region) is compared with analytical curves. Both curves are fit enough, as a result the algorithm has been validated. Rest of applications show the accuracy and potential of this algorithm applied to analyzing optical devices. Autor: Frances Monllor, Jorge, email: jfmonllor@ua.es Director 1: Ortega Tamarit, Beatriz email: bortega@dcom.upv. es Fecha de entrega: 26-03-09
Graph Neural Networks With Multiple Prior Knowledge for Multi-Omics Data Analysis

With the development of biotechnology, a large amount of multi-omics data have been collected for precision medicine. There exists multiple graph-based prior biological knowledge about omics data, such as gene-gene interaction networks. Recently, there has been an increasing interest in introducing graph neural networks (GNNs) into multi-omics learning. However, existing methods have not fully exploited these graphical priors since none have been able to integrate knowledge from multiple sources simultaneously. To solve this problem, we propose a multi-omics data analysis framework by incorporating multiple prior knowledge into graph neural network (MPK-GNN). To the best of our knowledge, this is the first attempt to introduce multiple prior graphs into multi-omics data analysis. Specifically, the proposed method contains four parts: (1) a feature-level learning module to aggregate information from prior graphs; (2) a projection module to maximize the agreement among prior networks by optimizing a contrastive loss; (3) a sample-level module to learn a global representation from input multi-omics features; (4) a task-specific module to flexibly extend MPK-GNN for various downstream multi-omics analysis tasks. Finally, we verify the effectiveness of the proposed multi-omics learning algorithm on the cancer molecular subtype classification task. Experimental results show that MPK-GNN outperforms other state-of-the-art algorithms, including multi-view learning methods and multi-omics integrative approaches.
Development of Anatomic Risk Factors for ACL Injuries: A Comparison Between ACL-Injured Knees and Matched Controls

Background: Several tibiofemoral anatomic features have been repeatedly associated with increased anterior cruciate ligament (ACL) injury risk. Previous studies have highlighted age and sex differences among these anatomic risk factors, but little is known about the normal and pathologic development of these differences during skeletal maturation. Purpose: To investigate differences in anatomic risk factors at various stages of skeletal maturation between ACL-injured knees and matched controls. Study Design: Cross-sectional study; Level of evidence, 3. Methods: After institutional review board approval, magnetic resonance imaging scans from 213 unique ACL-injured knees (age, 7-18 years, 48% female) and 239 unique asymptomatic ACL-intact knees (age, 7-18 years, 50% female) were used to measure femoral notch width, posterior slope of the lateral and medial tibial plateau, medial and lateral tibial spinal height (MTSH, LTSH), medial tibial depth, and posterior lateral meniscus-bone angle. Linear regression was performed to assess change in quantified anatomic indices with age for male and female patients in the ACL-injured cohort. Two-way analysis of variance with Holm-Sidak post hoc testing was performed to compare anatomic indices between ACL-injured knees and ACL-intact controls in each age group. Results: In the ACL-injured cohort, notch width, notch width index and medial tibial depth increased with age (R2 > 0.1; P < .001) in both sexes. MTSH and LTSH increased with age only in boys (R2≥ 0.09; P≤ .001), whereas meniscus-bone angle decreased with age only in girls (R2 = 0.13; P < .001). There were no other age differences in quantified anatomic indices. Patients with ACL injury consistently had a significantly higher lateral tibial slope (P < .01) and smaller LTSH (P < .001) as compared with ACL-intact controls across all age groups and sexes. When compared with age- and sex-matched ACL-intact controls, ACL-injured knees had a smaller notch width (boys, 7-18 years; girls, 7-14 years; P < .05), larger medial tibial slope (boys and girls, 15-18 years; P < .01), smaller MTSH (boys, 7-14 years; girls, 11-14 years; P < .05), and larger meniscus-bone angle (girls, 7-10 years; P = .050). Conclusion: The consistent morphologic differences throughout skeletal growth and maturation suggest a developmental role in high-risk knee morphology. The observed high-risk knee morphology at an earlier age preliminarily suggests the potential of knee anatomy measurements in identifying those with a predisposition toward ACL injury.
A Relative Importance Index Approach to On-Site Building Construction Workers’ Perception of Occupational Hazards Assessment

Background: The construction industry has a high percentage of work-related injuries and fatalities. Workers’ perception of occupational hazards exposure can be a proactive management tool in knowing the state of construction site safety performance. This study assessed the hazard perceptions of on-site construction workers in Ghana. Methods: Using a structured questionnaire, data was collected from 197 construction workers at live building sites in the Ho Municipality. The data were analyzed using the Relative Importance Index (RII) approach. Results: The study revealed that on-site construction workers perceived ergonomic hazards as the most frequent, followed by physical, phycological, biological, and chemical hazards. Long working hours had the highest overall RII ranking, followed by bending or twisting back during task performance, manual lifting of objects or loads, scorching temperatures, and lengthy standing for prolonged periods. The importance level of the RII revealed that long working hours and bending or twisting back during task performance were perceived as the most severe hazards. Conclusions: Given the adverse health effects of working for long hours, the management of Ghanaian construction industries needs to reinforce the legislation on working hours to safeguard workers’ occupational health. Safety professionals can use the study’s findings to improve safety performance in the Ghanaian construction industry.
Mechanoresponsive drug release from a flexible, tissue-adherent, hybrid hydrogel actuator.

Soft robotic technologies for therapeutic biomedical applications require conformal and atraumatic tissue coupling that is amenable to dynamic loading for effective drug delivery or tissue stimulation. This intimate and sustained contact offers vast therapeutic opportunity for localized drug release. This paper introduces a new class of hybrid hydrogel actuator (HHA) that facilitates enhanced drug delivery. The multi-material soft actuator can elicit tunable mechanoresponsive release of charged drug from its alginate/acrylamide hydrogel layer with temporal control. Dosing control parameters include actuation magnitude, frequency, and duration. The actuator can safely adhere to tissue via a flexible, drug permeable adhesive bond that can withstand dynamic device actuation. Conformal adhesion of the hybrid hydrogel actuator to tissue leads to the improved mechanoresponsive spatial delivery of drug. Future integration of this hybrid hydrogel actuator with other soft robotic assistive technologies could enable a synergistic multi-pronged treatment approach for the treatment of disease. This article is protected by copyright. All rights reserved.
Prevalence and predictors of depression, anxiety, and stress among recovered COVID-19 patients in Vietnam.

Background During the COVID-19 pandemic, a high prevalence of mental health distress has been reported among people who have recovered from the disease. Objectives To assess the prevalence of depression, anxiety, and stress as well as identify predictors among recovered COVID-19 patients after more than six months of being discharged in Dong Thap Province, Vietnam. Material and methods The cross-sectional study was conducted among 549 eligible participants recruited by stratified sampling. Data was collected using the depression, anxiety and stress scale - 21 items had Content Validity Index = 0.9, and Cronbach's alpha for depression, anxiety and stress sub-scales were 0.95, 0.81, and 0.86, respectively. Descriptive statistics were used to measure the prevalence levels and distribution of characteristics of the participant, while factors influencing depression, anxiety, and stress were predicted using binary logistic regression. Results The overall prevalence of depression, anxiety, and stress were 24.8% (95% CI: 21.2-28.6), 41.5% (95% CI: 37.4-45.8), and 25.3% (95% CI: 21.7-29.2), respectively. The predictors of depression were living in urban area (OR = 1.97; 95% CI: 1.27-3.08), holding a bachelor's degree (OR:3.51; 95% CI: 1.13-10.8), having a high monthly income (OR: 2.57; 95% CI: 1.03-6.38), diabetes (OR: 2.21; 95% CI: 1.04-4.68), heart disease (OR: 3.83; 95% CI: 1.79-8.17), respiratory disease (OR: 3.49; 95% CI: 1.24-9.84), and diarrhea (OR: 4.07; 95% CI: 1.06-15.6). Living in the urban area (OR: 1.57; 95% CI: 1.07-2.29), having sleep disturbance (OR: 2.32; 95% CI: 1.56-3.46), and fatigue (OR: 1.57; 95% CI: 1.03-2.39) were predictors for anxiety. Having respiratory disease (OR: 3.75; 95% CI: 1.47-9.60) or diarrhea (OR: 4.34; 95% CI: 1.18-15.9) were predictors of stress. Conclusion People who have recovered from COVID-19 should be assessed for symptoms of depression, anxiety, and stress. Primary healthcare providers should develop interventions to support their recovery.
Unfolding of resonant saddles and the Dulac time

In this work we study unfoldings of planar vector fields in a neighbourhood of a resonant saddle. We give a $\mathcal C^k$ normal form for the unfolding with respect to the conjugacy relation. Using our normal form we determine an asymptotic development, uniform with respect to the parameters, of the Dulac time of a resonant saddle deformation. Conjugacy relation instead of weaker equivalence relation is necessary when studying the time function. The Dulac time of a resonant saddle can be seen as the basic building block of the total period function of an unfolding of a hyperbolic polycycle.