Miracle-dz/UniFAR-FTUs huggingface dataset:
Radiation oncology for the rhinologist

Purpose of review This comprehensive review explores evolving treatment strategies for sinonasal and nasopharyngeal malignancies. It analyzes the role of adjuvant radiotherapy, the potential of intensity-modulated proton therapy (IMPT), and the relevance of de-escalation strategies nasopharyngeal carcinoma (NPC). Additionally, it discusses hyperfractionation in re-irradiation in NPC. Recent findings Adjuvant radiotherapy remains pivotal for sinonasal tumors, improving locoregional control and survival, notably in squamous cell carcinomas, adenocarcinomas, and adenoid cystic carcinomas. IMPT promises enhanced outcomes by sparing healthy tissues, potentially improving patients’ quality of life. For select stage II/T3N0 NPC, radiotherapy alone offers comparable outcomes to concurrent chemoradiotherapy, with fewer adverse events and improved quality of life. Selective neck irradiation in NPC patients with uninvolved necks maintains oncologic outcomes while reducing late toxicity. Hyperfractionation in re-irradiation shows promise in lowering late toxicities and improving overall survival, particularly in undifferentiated sinonasal carcinomas. Summary This review underscores the significance of adjuvant radiotherapy and the potential of advanced radiation techniques in optimizing sinonasal and nasopharyngeal malignancy outcomes. It emphasizes evolving de-escalation methods and individualized, evidence-based approaches. Future research will further refine strategies for these challenging malignancies.
Landslide hazard assessment using remote sensing and GIS techniques

Digital analysis techniques are presented for assessing landslides as a geohazard. A methodology has been developed employing a novel application of multi-scale mineralogical information from a landslide-prone region, enabling creation of a regional assessment for landslide hazard. The principal study area has been the landslide-prone region of the Langhe, in Piemonte, NW Italy, but also draws on examples from SE Spain and SE England. Four themes are developed. Firstly, the evaluation and textural analysis of remotely sensed imagery to enhance and identify physical properties of landslides. Secondly, ground-checking using field spectroscopy and XRD to extract soil information likely to be relevant to slope instability. Thirdly, slope stability analysis based on digital topographic data and, finally, the development of a hzard assessment methodology using a GIS database. The significance of image texture to the analysis of landslide morphology has been investigated using SPOT-Panchromatic and Airborne Thematic Mapper image data for the test sites in NW Italy, SE Spain and SE England. Multi-temporal SPOT-Panchromatic image data has been processed to identify slope instabilities in the Langhe produced by the storm of November 1994. This event caused many fatalities and produced widespread landslides, floods and consequent damage to property. Landsat Thematic Mapper image data of Pienionte has been processed to identify land use patterns and to extract soil property information. Mineralogical field and laboratory analysis (spectroscopy and XRD) have been carried out on locally exposed soil and rock samples. These confirm the presence of mineral groups in soils and rocks believed to be significant to slope instability. Stability analysis of digital slope data using published geotechnical parameters was carried out to derive a 'factor of safety' map. The digital capture of thematic image data, published maps and digital elevation data, managed using GIS, has enabled the computation of hazard assessment maps through the combination and quantitative analysis of physical and chemical attribute data. Critical evaluation of the attnl,utes and techniques has enabled the construction of a hazard assessment methodology.
Senescent skeletal muscle fibroadipogenic progenitors recruit and promote M2 polarization of macrophages

Abstract Senescent cells compromise tissue structure and function in older organisms. We recently identified senescent fibroadipogenic progenitors (FAPs) with activated chemokine signaling pathways in the skeletal muscle of old mice, and hypothesized these cells may contribute to the age‐associated accumulation of immune cells in skeletal muscle. In this study, through cell–cell communication analysis of skeletal muscle single‐cell RNA‐sequencing data, we identified unique interactions between senescent FAPs and macrophages, including those mediated by Ccl2 and Spp1. Using mouse primary FAPs in vitro, we verified increased expression of Ccl2 and Spp1 and secretion of their respective proteins in the context of both irradiation‐ and etoposide‐induced senescence. Compared to non‐senescent FAPs, the medium of senescent FAPs markedly increased the recruitment of macrophages in an in vitro migration assay, an effect that was mitigated by preincubation with antibodies to either CCL2 or osteopontin (encoded by Spp1). Further studies demonstrated that the secretome of senescent FAPs promotes polarization of macrophages toward an M2 subtype. These data suggest the unique secretome of senescent FAPs may compromise skeletal muscle homeostasis by recruiting and directing the behavior of macrophages.
An iterative approach to optimize change classification in SAR time series data

The detection of changes using remote sensing imagery has become a broad field of research with many approaches for many different applications. Besides the simple detection of changes between at least two images acquired at different times, analyses which aim on the change type or category are at least equally important. In this study, an approach for a semi-automatic classification of change segments is presented. A sparse dataset is considered to ensure the fast and simple applicability for practical issues. The dataset is given by 15 high resolution (HR) TerraSAR-X (TSX) amplitude images acquired over a time period of one year (11/2013 to 11/2014). The scenery contains the airport of Stuttgart (GER) and its surroundings, including urban, rural, and suburban areas. Time series imagery offers the advantage of analyzing the change frequency of selected areas. In this study, the focus is set on the analysis of small-sized high frequently changing regions like parking areas, construction sites and collecting points consisting of high activity (HA) change objects. For each HA change object, suitable features are extracted and a k-means clustering is applied as the categorization step. Resulting clusters are finally compared to a previously introduced knowledge-based class catalogue, which is modified until an optimal class description results. In other words, the subjective understanding of the scenery semantics is optimized by the data given reality. Doing so, an even sparsely dataset containing only amplitude imagery can be evaluated without requiring comprehensive training datasets. Falsely defined classes might be rejected. Furthermore, classes which were defined too coarsely might be divided into sub-classes. Consequently, classes which were initially defined too narrowly might be merged. An optimal classification results when the combination of previously defined key indicators (e.g., number of clusters per class) reaches an optimum.
Antigen perception in T cells by long-term Erk and NFAT signaling dynamics

Immune system threat detection hinges on T cells’ ability to perceive varying peptide major-histocompatibility complex (pMHC) antigens. As the Erk and NFAT pathways link T cell receptor engagement to gene regulation, their signaling dynamics may convey information about pMHC inputs. To test this idea, we developed a dual reporter mouse strain and a quantitative imaging assay that, together, enable simultaneous monitoring of Erk and NFAT dynamics in live T cells over day-long timescales as they respond to varying pMHC inputs. Both pathways initially activate uniformly across various pMHC inputs, but diverge only over longer (9+ hrs) timescales, enabling independent encoding of pMHC affinity and dose. These late signaling dynamics are decoded via multiple temporal and combinatorial mechanisms to generate pMHC-specific transcriptional responses. Our findings underscore the importance of long timescale signaling dynamics in antigen perception, and establish a framework for understanding T cell responses under diverse contexts. SIGNIFICANCE STATEMENT To counter diverse pathogens, T cells mount distinct responses to varying peptide-major histocompatibility complex ligands (pMHCs). They perceive the affinity of pMHCs for the T cell receptor (TCR), which reflects its foreignness, as well as pMHC abundance. By tracking signaling responses in single living cells to different pMHCs, we find that T cells can independently perceive pMHC affinity vs dose, and encode this information through the dynamics of Erk and NFAT signaling pathways downstream of the TCR. These dynamics are jointly decoded by gene regulatory mechanisms to produce pMHC-specific activation responses. Our work reveals how T cells can elicit tailored functional responses to diverse threats and how dysregulation of these responses may lead to immune pathologies.
Targeting GABA receptors with chalcone derivative compounds, what is the evidence?

ABSTRACT Introduction In medicinal chemistry, privileged structures have been frequently exploited as a successful template for drug discovery. Common simple scaffolds like chalcone are present in a wide range of naturally occurring chemicals. Chalcone exhibits extensive biological activity and has drawn attention in this context due to its function in the GABA receptor. Epilepsy and GABA receptors are related. It is a chronic neurological condition that affects globally. Areas covered Numerous neurological disorders, including anxiety and epilepsy, have been related to GABA, the brain’s most prevalent inhibitory neurotransmitter. We go through the role of GABA receptors in anxiety and epilepsy in this review. The structure–activity relationship of chalcone and its derivatives on the GABA receptor is covered in our final section. Expert opinion GABA is a potential therapeutic target for issues associated with the nervous system. We talk about the potential effects of chalcone as a treatment for epilepsy and anxiety on the GABA receptor. Therefore, thorough research is necessary in this regard; the value of in silico tools in developing and enhancing GABA agonists is significant.
Biaxial Excitation and Reception Method Applied to Ultrasound Imaging

The biaxial method consists of the utilization of orthogonal electric fields in single-element piezoceramics both in transmission and reception. This study demonstrates the application of the biaxial method to broadband transducers. We developed a three-element biaxial transducer array to demonstrate the feasibility of biaxial method in imaging applications. Finite element analysis was used to model the response of a single transducer element. An electric characterization was performed at each transducer element to determine their driving frequency. Each transducer was driven at 6.25 MHz and tested in different phases to determine the phase that produced the maximum pressure amplitude and shortest pulsewidth. Both simulations and experimental results showed that the acoustic pressure and half-pulsewidth followed a sinusoidal response as a function of the difference in phase applied to the lateral electrodes, as it has been described in our previous work. An imaging test was performed by placing a 0.36-mm diameter nylon wire 20 mm away from the transducer while driving and receiving each element with different combinations of conventional and biaxial driving. By applying a biaxial rephasing at the receiving electrodes during the data analysis, we obtained a maximum reduction in the axial resolution from 4.6 to 1.3 mm and signal-to-noise ratio (SNR) improvements from 15.2 to 24.4 dB, when compared to conventional driving.
Rapid Consumption of Dihydrogen Injected into a Shallow Aquifer by Ecophysiologically Different Microbes

The envisaged future dihydrogen (H2) economy requires a H2 gas grid as well as large deep underground stores. However, the consequences of an unintended spread of H2 through leaky pipes, wells, or subterranean gas migrations on groundwater resources and their ecosystems are poorly understood. Therefore, we emulated a short-term leakage incident by injecting gaseous H2 into a shallow aquifer at the TestUM test site and monitored the subsequent biogeochemical processes in the groundwater system. At elevated H2 concentrations, an increase in acetate concentrations and a decrease in microbial α-diversity with a concomitant change in microbial β-diversity were observed. Additionally, microbial H2 oxidation was indicated by temporally higher abundances of taxa known for aerobic or anaerobic H2 oxidation. After H2 concentrations diminished below the detection limit, α- and β-diversity approached baseline values. In summary, the emulated H2 leakage resulted in a temporally limited change of the groundwater microbiome and associated geochemical conditions due to the intermediate growth of H2 consumers. The results confirm the general assumption that H2, being an excellent energy and electron source for many microorganisms, is quickly microbiologically consumed in the environment after a leakage.
Prevalence of Spiroplasma and interaction with wild Glossina tachinoides microbiota

Tsetse flies (Diptera: Glossinidae) are vectors of the tropical neglected diseases sleeping sickness in humans and nagana in animals. The elimination of these diseases is linked to control of the vector. The sterile insect technique (SIT) is an environment-friendly method that has been shown to be effective when applied in an area-wide integrated pest management approach. However, as irradiated males conserve their vectorial competence, there is the potential risk of trypanosome transmission with their release in the field. Analyzing the interaction between the tsetse fly and its microbiota, and between different microbiota and the trypanosome, might provide important information to enhance the fly’s resistance to trypanosome infection. This study on the prevalence of Spiroplasma in wild populations of seven tsetse species from East, West, Central and Southern Africa showed that Spiroplasma is present only in Glossina fuscipes fuscipes and Glossina tachinoides. In G. tachinoides, a significant deviation from independence in co-infection with Spiroplasma and Trypanosoma spp. was observed. Moreover, Spiroplasma infections seem to significantly reduce the density of the trypanosomes, suggesting that Spiroplasma might enhance tsetse fly’s refractoriness to the trypanosome infections. This finding might be useful to reduce risks associated with the release of sterile males during SIT implementation in trypanosome endemic areas.
Male circumcision uptake and misperceived norms about male circumcision: Cross-sectional, population-based study in rural Uganda

Background Over the past decade, 15 high-priority countries in eastern and southern Africa have promoted voluntary medical male circumcision for human immunodeficiency virus (HIV) and sexually transmitted infection (STI) prevention. The prevalence of male circumcision in Uganda nearly doubled from 26% in 2011 to 43% in 2016, but remains below the 2020 target level. Little is known about how common male circumcision is perceived to be, how accurate such perceptions are, and whether they are associated with men’s own circumcision uptake. Methods We conducted a cross-sectional study of all adult residents of eight villages in Rwampara District, southwestern Uganda in 2020-2022. We elicited their perceptions of the adult male circumcision prevalence within their village: >50% (most men), 10% to <50% (some), <10%, (few to none), or do not know. We compared their perceived norms to the aggregated prevalence of circumcision reported in these villages. We used a modified multivariable Poisson regression model to estimate the association between perceived norms and personal circumcision uptake among men. Results We surveyed 1566 participants (91% response rate): 698 men and 868 women. Among the men, 167 (27%) reported being circumcised, including 167/444 (38%) men <50 years of age. Approximately one-fourth of the population (189 (27%) men and 177 (20%) women) believed that few to no men in their own village had been circumcised. In a multivariable regression model, men who underestimated the prevalence of male circumcision were less likely to be circumcised themselves (adjusted relative risk (aRR) = 0.51; 95% confidence interval (CI) = 0.37-0.83). Conclusions In this population-based study in rural Uganda, one-fourth of men underestimated the prevalence of male circumcision. Men who underestimated the extent of circumcision uptake were themselves less likely to be circumcised. If the observed association is causal and underestimates within the population contribute to low uptake, then interventions correcting these misperceived norms could increase uptake of voluntary medical male circumcision.
Factors Influencing Medication Adherence in Elderly Patients with Hypertension: A Single Center Study in Western China

Purpose: To develop and empirically test a conceptual model that explains the factors influencing antihypertensive medication adherence behavior in elderly patients in a city in western China. Patients and Methods: The conceptual model was based on the Theory of Planned Behavior and the Health Belief Model and was empirically tested using cross-sectional survey data from Nanchong City, a city in western China, collected between October and December 2020. Data were analyzed using structural equation modeling. Results: Behavioral intentions were the main predictor of medication adherence behavior (path coefficient of 0.353). Perceived benefits and perceived barriers directly (path coefficient = 0.201 and −0.150, respectively), and indirectly (path coefficient = 0.118 and −0.060) through behavioral intentions, influenced medication adherence behavior. Perceived susceptibility (path coefficient = 0.390) and perceived severity (path coefficient = 0.408) influenced behavioral attitudes, which influenced behavioral intentions (path coefficient = 0.298). Conclusion: The conceptual model demonstrates a robust ability to predict and explain medication adherence behavior among elderly patients with hypertension, facilitating the adoption and maintenance of changes in adherence behavior and the potential for preventing disease progression and improving quality of life.
Model Choice and Scale in Urban Drainage Design

This paper addresses the question of model choice and scale by comparing various model applications to a 95-acre gaged catchment, known as the Lake Hills watershed, in Bellevue, Washington. The main objectives here was to compare alternative procedures for establishing flood frequency curves in a small urban watershed, recognizing that in the Lake Hills system, the authors had access to two years of rainfall-runoff data collected by the USGS. A secondary issue, which became critical to the primary objective, was the best method of distributing hourly rainfall amounts in 5-minute intervals so as to utilize long-term hourly rainfall records in simulating the small urban catchment.
A unified data infrastructure to support large-scale rare disease research

The Solve-RD project brings together clinicians, scientists, and patient representatives from 51 institutes spanning 15 countries to collaborate on genetically diagnosing ("solving") rare diseases (RDs). The project aims to significantly increase the diagnostic success rate by co-analysing data from thousands of RD cases, including phenotypes, pedigrees, exome/genome sequencing and multi-omics data. Here we report on the data infrastructure devised and created to support this co-analysis. This infrastructure enables users to store, find, connect, and analyse data and metadata in a collaborative manner. Pseudonymised phenotypic and raw experimental data are submitted to the RD-Connect Genome-Phenome Analysis Platform and processed through standardised pipelines. Resulting files and novel produced omics data are sent to the European Genome-phenome Archive, which adds unique file identifiers and provides long-term storage and controlled access services. MOLGENIS "RD3" and Cafe Variome "Discovery Nexus" connect data and metadata and offer discovery services, and secure cloud-based "Sandboxes" support multi-party data analysis. This proven infrastructure design provides a blueprint for other projects that need to analyse large amounts of heterogeneous data.
In Generative AI we Trust: Can Chatbots Effectively Verify Political Information?

This article presents a comparative analysis of the ability of two large language model (LLM)-based chatbots, ChatGPT and Bing Chat, recently rebranded to Microsoft Copilot, to detect veracity of political information. We use AI auditing methodology to investigate how chatbots evaluate true, false, and borderline statements on five topics: COVID-19, Russian aggression against Ukraine, the Holocaust, climate change, and LGBTQ+ related debates. We compare how the chatbots perform in high- and low-resource languages by using prompts in English, Russian, and Ukrainian. Furthermore, we explore the ability of chatbots to evaluate statements according to political communication concepts of disinformation, misinformation, and conspiracy theory, using definition-oriented prompts. We also systematically test how such evaluations are influenced by source bias which we model by attributing specific claims to various political and social actors. The results show high performance of ChatGPT for the baseline veracity evaluation task, with 72 percent of the cases evaluated correctly on average across languages without pre-training. Bing Chat performed worse with a 67 percent accuracy. We observe significant disparities in how chatbots evaluate prompts in high- and low-resource languages and how they adapt their evaluations to political communication concepts with ChatGPT providing more nuanced outputs than Bing Chat. Finally, we find that for some veracity detection-related tasks, the performance of chatbots varied depending on the topic of the statement or the source to which it is attributed. These findings highlight the potential of LLM-based chatbots in tackling different forms of false information in online environments, but also points to the substantial variation in terms of how such potential is realized due to specific factors, such as language of the prompt or the topic.
Controllable Chiral Light Generation and Vortex Field Investigation Using Plasmonic Holes Revealed by Cathodoluminescence

Control of the angular momentum of light is a key technology for next-generation nano-optical devices and optical communications, including quantum communication and encoding. We propose an approach to controllably generate circularly polarized light from a circular hole in a metal film using an electron beam by coherently exciting transition radiation and light scattering from the hole through surface plasmon polaritons. The circularly polarized light generation is confirmed by fully polarimetric four-dimensional cathodoluminescence mapping, where angle-resolved spectra are simultaneously obtained. The obtained intensity and Stokes maps show clear interference fringes as well as almost fully circularly polarized light generation with controllable parities by the electron beam position. By applying this approach to a three-hole system, a vortex field with a phase singularity is visualized in the middle of three holes.