Search Results (1,311)

In this paper, I analyze the account of miracles given by ʿAbd al-Karīm al-Jīlī (d. 811/1408), one of the major interpreters of the Sufi metaphysics of Ibn ʿArabī (d. 638/1240). Al-Jīlī outlines his theory of miracles in chapter fifty of his major work, al-Insān al-kāmil fī maʿrifat al-awākhir wa-l-awāʾil, which is devoted to the Holy Spirit. Based on a close reading of this chapter and other relevant sections of al-Insān al-kāmil, I suggest that al-Jīlī’s interest in miracles reflects the miracle-saturated Yemeni environment in which he wrote, and find that he most often uses taṣarrufāt (“acts of free disposal”) to denote saintly miracles, rather than the more common karāmāt. Most significantly, I show how, based on his threefold categorization of humanity (into those dominated by their physical form, spiritual things, and divine things), he articulates a hierarchy of the miraculous, distinguishing between bodily miracles, which indicate the dominance of the Holy Spirit, and the higher level of creative speech acts, which reflect the dominance of God’s creative attributes. Finally, notwithstanding the fact that his account of miracles and the Holy Spirit chimes with certain Christian ideas, I show that miracles, in his view, point to the spiritual pre-eminence of the Prophet Muhammad. Full article

University advising at matriculation must operate under strict information constraints, typically without any post-enrolment interaction history.We present a unified, leakage-free pipeline for predicting early dropout risk and generating cold-start programme recommendations from pre-enrolment signals alone, with an optional early-warning variant incorporating first-term academic aggregates. The approach instantiates lightweight multimodal architectures: tabular RNNs, DistilBERT encoders for compact profile sentences, and a cross-attention fusion module evaluated end-to-end on a public benchmark (UCI id 697; n = 3630 students across 17 programmes). For dropout, fusing text with numerics yields the strongest thresholded performance (Hybrid RNN–DistilBERT: f1-score ≈ 0.9161, MCC ≈ 0.7750, and simple ensembling modestly improves threshold-free discrimination (Area Under Receiver Operating Characteristic Curve (AUROC) up to ≈0.9488). A text-only branch markedly underperforms, indicating that numeric demographics and early curricular aggregates carry the dominant signal at this horizon. For programme recommendation, pre-enrolment demographics alone support actionable rankings (Demographic Multi-Layer Perceptron (MLP): Normalized Discounted Cumulative Gain @ 10 (NDCG@10) ≈ 0.5793, Top-10 ≈ 0.9380, exceeding a popularity prior by $25–27$ percentage points in NDCG@10); adding text offers marginal gains in hit rate but not in NDCG on this cohort. Methodologically, we enforce leakage guards, deterministic preprocessing, stratified splits, and comprehensive metrics, enabling reproducibility on non-proprietary data. Practically, the pipeline supports orientation-time triage (high-recall early-warning) and shortlist generation for programme selection. The results position matriculation-time advising as a joint prediction–recommendation problem solvable with carefully engineered pre-enrolment views and lightweight multimodal models, without reliance on historical interactions. Full article

Spectral mixing space characterization is especially important for studies of built environments because of the range of materials around which humans establish residence. With the launch of NASA’s EMIT imaging spectrometer in 2022, spectroscopic characterization of a variety of built environments using atmospherically corrected imagery collected by a common instrument became feasible. The recent availability of four cloud-free EMIT granules imaging Beijing, Chongqing, Guangzhou and Shanghai in early 2025 allows us to address a critical limitation of a 2023 study of built environments using EMIT. The 3D topology of an EMIT mixing space combining all four cities and their surrounding environments shows the familiar ternary structure with Substrate, Vegetation, Dark endmember apexes but extends it to a 3D tetrahedral structure with the addition of a non-photosynthetic vegetation (NPV) endmember. In contrast to multispectral characterizations, EMIT spectra distinguish a variety of anthropogenic substrates not resolvable with broadband sensors. However, semivariogram analysis of coincident 10 m Sentinel-2 and 1.2 m WorldView-3 imagery confirms extensive spectral mixing at the ~50 m scale of the EMIT IFOV. As a result, some of the spectral diversity resolvable with meter resolution spectroscopy is certainly attenuated by decameter resolution sensors. Full article

With the growing use of AI, it is important to know target audiences’ perceptions of its use. A convenience sample of students were invited to take an online survey in which they were randomly assigned to Group 1 (evaluated a student-generated blog; n = 456) or Group 2 (evaluated an AI-generated blog; n = 492). The results of independent t-tests and chi-squared tests indicated no group differences in ratings of ease of recipe preparation, time to prepare the recipe, utilization of common ingredients, and frequency of intended use of the blog. The student-generated blog was rated higher on budget friendliness (p = 0.025). A total of 42% indicated they would be less willing to use a blog if they knew it was AI-generated, while 43% indicated that it would make no difference and 4.4% indicated being more likely to view the AI-generated blog. Two researchers used a thematic analysis approach to evaluate participants’ free responses regarding the likelihood of using a recipe blog that was AI-generated. Participant perceptions of an AI-generated blog ranged from very positive to very negative. Some themes highlighted the potential benefits of AI or a more neutral stance indicating that “a recipe is a recipe”. The majority of themes highlighted the benefits of content that was created, verified, or tested by humans, or espoused a human touch. Students should be trained to cater to consumer preferences, and to add value in a world that includes AI-generated content. Full article

Accurate and robust feature matching across multi-view urban imagery is fundamental for urban mapping, 3D reconstruction, and large-scale spatial alignment. Real-world urban scenes involve significant variations in viewpoint, illumination, and occlusion, as well as repetitive architectural patterns that make correspondence estimation challenging. To address these issues, we propose the Cross-Context Aggregation Matcher (CCAM), a detector-free framework that jointly leverages multi-scale local features, long-range contextual information, and geometric priors to produce spatially consistent matches. Specifically, CCAM integrates a multi-scale local enhancement branch with a parallel self- and cross-attention Transformer, enabling the model to preserve detailed local structures while maintaining a coherent global context. In addition, an independent positional encoding scheme is introduced to strengthen geometric reasoning in repetitive or low-texture regions. Extensive experiments demonstrate that CCAM outperforms state-of-the-art methods, achieving up to +31.8%, +19.1%, and +11.5% improvements in AUC@{5°, 10°, 20°} over detector-based approaches and up to 1.72% higher precision compared with detector-free counterparts. These results confirm that CCAM delivers reliable and spatially coherent matches, thereby facilitating downstream geospatial applications. Full article

The Huanjing-2A/2B (HJ-2A/2B) satellites are China’s next-generation environmental monitoring satellites, equipped with four visible light wide-swath charge-coupled device (CCD) sensors. These sensors enable the acquisition of 16-m multispectral imagery (16m-MSI) with a swath width of 800 km through field-of-view stitching. However, traditional vicarious calibration techniques are limited by their calibration frequency, making them insufficient for continuous monitoring requirements. To address this challenge, the present study proposes a spectral-angle difference correction-based cross-calibration approach, using the Landsat 8/9 Operational Land Imager (OLI) as the reference sensor to calibrate the HJ-2A/2B CCD sensors. This method improves both radiometric accuracy and temporal frequency. The study utilizes cloud-free image pairs of HJ-2A/2B CCD and Landsat 8/9 OLI, acquired simultaneously at the Dunhuang and Golmud calibration sites between 2021 and 2024, in combination with atmospheric parameters from the European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis v5 (ERA5) dataset and historical ground-measured spectral reflectance data for cross-calibration. The methodology includes spatial matching and resampling of the image pairs, along with the identification of radiometrically stable homogeneous regions. To account for sensor viewing geometry differences, an observation-angle linear correction model is introduced. Spectral band adjustment factors (SBAFs) are also applied to correct for discrepancies in spectral response functions (SRFs) across sensors. Experimental results demonstrate that the cross-calibration coefficients differ by less than 10% compared to vicarious calibration results from the China Centre for Resources Satellite Data and Application (CRESDA). Additionally, using Sentinel-2 MSI as the reference sensor, the cross-calibration coefficients were independently validated through cross-validation. The results indicate that the radiometrically corrected HJ-2A/2B 16m-MSI CCD data, based on these coefficients, exhibit improved radiometric consistency with Sentinel-2 MSI observations. Further analysis shows that the cross-calibration method significantly enhances radiometric consistency across the HJ-2A/2B 16m-MSI CCD sensors, with radiometric response differences between CCD1 and CCD4 maintained below 3%. Error analysis quantifies the impact of atmospheric parameters and surface reflectance on calibration accuracy, with total uncertainty calculated. The proposed spectral-angle correction-based cross-calibration method not only improves calibration accuracy but also offers reliable technical support for long-term radiometric performance monitoring of the HJ-2A/2B 16m-MSI CCD sensors. Full article

Multi-view Synthetic Aperture Radar (SAR) provides rich information for target recognition. However, fusing features from unaligned multi-view images presents challenges for existing methods. Conventional early fusion methods often rely on image registration, a process that is computationally intensive and can introduce feature distortions. More recent registration-free approaches based on the Transformer architecture are constrained by standard position encodings, which were not designed to represent the rotational relationships among multi-view SAR data and thus can cause spatial ambiguity. To address this specific limitation of position encodings, we propose a registration-free fusion framework based on a spatially aware Transformer. The framework includes two key components: (1) a multi-view polar coordinate position encoding that models the geometric relationships of patches both within and across views in a unified coordinate system; and (2) a spatially aware self-attention mechanism that injects this geometric information as a learnable inductive bias. Experiments were conducted on our self-developed FAST-Vehicle dataset, which provides full 360° azimuthal coverage. The results show that our method outperforms both registration-based strategies and Transformer baselines that use conventional position encodings. This work indicates that for multi-view SAR fusion, explicitly modeling the underlying geometric relationships with a suitable position encoding is an effective alternative to physical image registration or the use of generic, single-image position encodings. Full article

It is well known that early education and care lay the foundation for learning and wellbeing; however, resources available to support children with different life experiences can vary. For example, resources available to support early childhood educators working with young children from military families are particularly lacking. This is of concern, given that these children face a range of stressors in their daily lives. To address this gap, our interdisciplinary team used a co-creation framework to build a suite of free, online, psychosocial resources for the children and their parents, educators and support workers. To test the usability of the resources, we conducted an online survey with 83 Australian participants (parents, educators, and support workers) about their knowledge, skills and confidence in supporting these children and the children’s wellbeing. After the study, the participants were given access to the psychosocial resources for 6 to 12 months. Following this, an adapted survey was administered online (post-intervention) with 15 participants who had remained in the study during the COVID-19 pandemic. Quantitative data was analysed using cross-tabulation and descriptive statistics. Qualitative data was analysed using inductive thematic analysis. In our pre-intervention studies, 61% of parents and almost 26% of educators were only partially confident in understanding children’s responses to military-specific stressors. In contrast, in the current study, this number had fallen to under 7% (combined participant group), with perceived improvements noted in their views on the children’s wellbeing. These exploratory findings with a small sample size highlight the potential benefit of targeted programmes, professional development, and accessible resources for parents, educators, and support workers who assist children from military families. Full article

It is theoretically accepted that Chinese two-character words (2C-words) are processed both holistically and according to their constituent characters. Given the evidence on readers’ sensitivities to the syntactic relationships between the constituent characters, however, this general view might not fully explain the 2C-word processing mechanism. As an important category of 2C-words, verb–object constructions (VOCs) exhibit significant heterogeneity in splittability, the degree of syntactic phrasalization through the insertion of other characters between the constituent characters. To examine skilled readers’ VOC processing under the influences of splittability and whether the constituent characters are bound or free characters (character type), two experiments were conducted on a cohort of college students, who were Chinese native speakers, using the lexical decision task in a repetition priming paradigm. The prime stimuli (primer type) comprised three conditions: (a) the targets themselves, (b) the targets’ transposed non-words, and (c) non-linguistic baseline symbols ‘※※’. The primers’ two constituents were presented simultaneously and sequentially in Experiments 1 and 2, respectively. A significant interaction was revealed across both experiments between splittability and character type in the participants’ performance. The main effect was significant for primer type in the participants’ performance in Experiment 1; in Experiment 2, however, the interaction was significant both between primer type and splittability in the participants’ performance and between primer type and character type in their reaction times. In addition to confirming the general view, skilled readers might inevitably experience syntactic and semantic combinations of the constituent characters in their processing of VOCs. Full article

Electroencephalography is a widely used method for emotion recognition. However, it requires specialized equipment, leading to high costs. Additionally, attaching devices to the body during such procedures may cause physical and psychological stress to participants. These issues are addressed in this study by focusing on physiological signals that are noninvasive and contact-free, and a generalized method for estimating emotions is developed. Specifically, the facial skin temperature and eye-opening degree of participants captured via infrared thermography and visible cameras are utilized, and emotional states are estimated while Japanese older adults view digital content. Emotional responses while viewing digital content are often subtle and dynamic. Additionally, various emotions occur during such situations, both positive and negative. Fluctuations in facial skin temperature and eye-opening degree reflect activities in the autonomic nervous system. In particular, expressing emotions through facial expressions is difficult for older adults; as such, emotional estimation using such ecological information is required. Our study results demonstrated that focusing on skin temperature changes and eye movements during emotional arousal and non-arousal using bidirectional long short-term memory yields an F1 score of 92.21%. The findings of this study can enhance emotion recognition in digital content, improving user experience and the evaluation of digital content. Full article

The advent of multichannel ground-penetrating radar systems capable of acquiring multiview, multistatic, and multifrequency data is offering new possibilities to improve subsurface imaging performance. However, this raises the need for reconstruction approaches capable of handling such sophisticated configurations and the resulting increase in the data volume. Therefore, the challenge lies in identifying proper measurement configurations that balance image quality with the complexity and duration of data acquisition. As a contribution to this topic, the present paper focuses on a measurement system working in reflection mode and composed of an array of antennas, consisting of a transmitting antenna and several receiving antennas, whose spatial offset is comparable to the probing wavelength. Therefore, for each position of the transmitting antenna, a single-view/multistatic configuration is considered. The imaging task is solved by adopting a linear microwave tomographic approach, which provides a qualitative reconstruction of the investigated scenario. In particular, a 3D inverse scattering problem is tackled for an isotropic, homogeneous, lossless, and non-magnetic medium under the Born approximation, considering both single- and multi-frequency data. A preliminary analysis, referring to a 3D free-space reference scenario, is performed in terms of the spectral content of the scattering operator and the system’s point spread function. Finally, an experimental validation under laboratory conditions is presented in order to verify the expected imaging capability of the inversion approach. Full article

We present a compact hybrid imaging system operating in the 3–5 μm spectral band that combines refractive optics with a dispersion-engineered metasurface to overcome the longstanding trade-off between wide field of view (FOV), system size, and thermal stability. The system achieves an ultra-wide 178° FOV within a total track length of only 28.25 mm, employing just three refractive lenses and one metasurface. Through co-optimization of material selection and system architecture, it maintains the modulation transfer function (MTF) exceeding 0.54 at 33 lp/mm and the geometric (GEO) radius below 15 μm across an extended operational temperature range from –40 °C to 60 °C. The metasurface is designed using a propagation phase approach with cylindrical unit cells to ensure polarization-insensitive behavior, and its broadband dispersion-free phase profile is optimized via a particle swarm algorithm. The results indicate that phase-matching errors remain small at all wavelengths, with a mean value of 0.11068. This design provides an environmentally resilient solution for lightweight applications, including automotive infrared night vision and unmanned aerial vehicle remote sensing. Full article

Inter-saccadic times or eye fixation durations (EFDs) are relatively stable at around 250 ms, equivalent to four saccades per second. However, the mean and standard deviation are not sufficient to describe the frequency histogram distribution of EFD. The exGaussian has been proposed for fitting the EFD histograms. The present report tries to adjust a competition model (C model) between the saccadic and the fixation network to the EFD histograms. This model is at a rather conceptual level (computational level in Marr’s classification). Both models were adjusted to EFD from an open database with data of 179,473 eye fixations. The C model showed to be able, along with exGaussian model, to be compatible with explaining the EFD distributions. The two parameters of the C model can be ascribed to (i) a refractory period for new saccades modeled by a sigmoid equation (A parameter), while (ii) the ps parameter would be related to the continuous competition between the saccadic network related to the saliency map and the eye fixation network, and would be modeled through a geometric probability density function. The model suggests that competition between neural networks would be an organizational property of brain neural networks to facilitate the decision process for action and perception. In the visual scene scanning, the C model dynamic justifies the early post-saccadic stability of the foveated image, and the subsequent exploration of a broad space in the observed image. The code to extract the data and to run the model is added in the ^{Supplementary Materials}. Additionally, entropy of EFD is reported. Full article

Access to practice opportunities for history-taking in undergraduate medical education can be resource-limited. Large language models are a potential avenue to address this. This study sought to characterize changes in learner self-reported confidence with history-taking before and after a simulation with an LLM-based patient and understand learner experience with and the acceptability of virtual LLM-based patients. This was a multi-method study conducted at McMaster University. Simulations were facilitated with the OSCEai tool. Data was collected through surveys with a Likert scale and open-ended questions and semi-structured interviews. A total of 24 participants generated 93 survey responses and 17 interviews. Overall, participants reported a 14.6% increase in comfort with history-taking. Strengths included its flexibility, accessibility, detailed feedback, and ability to provide a judgement-free space to practice. Limitations included its lower fidelity compared to standardized patients and at times repetitive and less clinically relevant feedback as compared to preceptors. It was overall viewed best as a supplement rather than a replacement for standardized patients. In conclusion, LLM-based virtual patients were feasible and valued as an adjunct tool. They can support scalable, personalized practice. Future work is needed to understand objective metrics of improvement and to design curricular strategies for integration. Full article

Background: Leishmaniasis is a zoonotic vector-borne disease and a significant global public health concern worldwide and in Algeria. In this study, we investigated the potential role of ticks and fleas as carriers of Leishmania in endemic regions of Algeria. Methods: Adult ectoparasites were collected from reservoir dogs and cohabiting animals across three provinces: Tizi-Ouzou (northeast), M’Sila (southeast), and Tébessa (extreme east). A subset of 247 ectoparasites was randomly selected for Leishmania DNA screening using ITS1-PCR. Results: Morphological identification revealed two tick species, Rhipicephalus turanicus (378 specimens) and Rhipicephalus sanguineus s.l (127 specimens), and one flea species, Ctenocephalides felis (94 specimens). Dogs were the most heavily infested hosts (74.12%), followed by sheep (9.51%) and cats (9.34%). Leishmania DNA was detected in 36.43% (90/247) of the tested specimens, with higher positivity in ticks (41.32%) compared to fleas (17.64%). Infection rates varied by host species, with dogs harboring the majority of positive ectoparasites (62/90), primarily R. sanguineus s.l (19/30) and R. turanicus (40/115). Leishmania DNA was also detected in ectoparasites collected from cats and sheep, whereas goats and rabbits were free from Leishmania DNA. Conclusions: This investigation highlights the high detection rate of Leishmania DNA in ticks and fleas from animals in Algerian endemic regions, indicating exposure to infected hosts. Together with previous reports, these findings support the view that ticks and fleas may act as incidental hosts or mechanical carriers of the parasite. However, their role in parasite transmission remains unconfirmed and warrant further investigation, particularly through studies assessing vector competence. These results emphasize the need for additional research to clarify the contribution of these ectoparasites to Leishmania transmission and multi-host dynamics. Full article