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Application of LMM-Derived Prompt-Based AIGC in Low-Altitude Drone-Based Concrete Crack Monitoring
Full text linkIn recent years, large multimodal models (LMMs), such as ChatGPT 4o and DeepSeek R1—artificial intelligence systems capable of multimodal (e.g., image and text) human–computer interaction—have gained traction in industrial and civil engineering applications. Concurrently, insufficient real-world drone-view data (specifically close-distance, high-resolution imagery) for civil engineering scenarios has heightened the importance of artificially generated content (AIGC) or synthetic data as supplementary inputs. AIGC is typically produced via text-to-image generative models (e.g., Stable Diffusion, DALL-E) guided by user-defined prompts. This study leverages LMMs to interpret key parameters for drone-based image generation (e.g., color, texture, scene composition, photographic style) and applies prompt engineering to systematize these parameters. The resulting LMM-generated prompts were used to synthesize training data for a You Only Look Once version 8 segmentation model (YOLOv8-seg). To address the need for detailed crack-distribution mapping in low-altitude drone-based monitoring, the trained YOLOv8-seg model was evaluated on close-distance crack benchmark datasets. The experimental results confirm that LMM-prompted AIGC is a viable supplement for low-altitude drone crack monitoring, achieving >80% classification accuracy (images with/without cracks) at a confidence threshold of 0.5
Current Status of Extracorporeal Membrane Oxygenation as a Treatment Strategy for Primary Graft Dysfunction after Lung Transplantation
Full text linkPrimary graft dysfunction (PGD) is one of the major risk factors affecting patients’ short- and long-term survival after lung transplantation. No particular management strategy has been established for PGD; supportive care is the mainstay of PGD treatment. When a supportive strategy fails, the patient may require the introduction of extracorporeal membrane oxygenation (ECMO) as the last-resort measure for severe PGD. A variety of study of ECMO as a PGD treatment was reported and the management of PGD patients developed so far. Early recognition of a patient’s need for ECMO and its prompt initiation are critical to improved outcomes. The use of venovenous-ECMO became the preferred procedure for PGD rather than venoarterial-ECMO. However, the current ECMO strategy has limitations, and using ECMO to manage patients with PGD is not sufficiently effective. Further studies are required to develop this promising technology
Activation of barium titanate for photocatalytic overall water splitting via low-valence cation codoping
Full text linkBarium titanate (BaTiO3) has long been regarded as inactive for photocatalytic overall water splitting, in stark contrast to its perovskite counterparts SrTiO3 and CaTiO3. Here we report that BaTiO3 codoped with Al3+ and Sc3+ at Ti4+ sites under flux synthesis conditions is activated as a robust photocatalyst for overall water splitting. This material achieves apparent quantum yields of 29.8% at 310 nm and 27.5% at 365 nm, representing the first demonstration of efficient overall water splitting on BaTiO3. Comparative analyses show that BaTiO3 doped only with Al3+ suffers from severe band-edge disorder, whereas BaTiO3 codoped with Al3+ and Mg2+ exhibits clear activation with moderate efficiency. In contrast, BaTiO3 codoped with Al3+ and Sc3+ achieves the critical defect and structural control required to push the material across the threshold from inactive to highly active. These findings overturn the long-standing perception of BaTiO3 as unsuitable for water splitting and establish a general design principle for activating previously inactive perovskite oxides, thereby expanding the materials palette for solar-to-hydrogen energy conversion
Unique drought tendency of an understudied region in the Mekong Delta, Vietnam
Full text linkWater resource vulnerability due to uneven precipitation and water allocations is a significant issue in many regions of the world, including the Mekong Delta. Although numerous studies have already evaluated drought tendencies in many parts of the Mekong Delta, some areas have been excluded. This study targeted these excluded areas, including one inland, one coastal area, and two islands, which are defined as “understudied regions.” The meteorological drought intensity, frequency, and duration in the study areas in the Mekong Delta were evaluated using different time scales of the Standardized Precipitation Index (SPI) between 1994–2020. Unique contrasts in drought features were found between the study areas, indicating that severe drought events occupied the highest percentages inland from 2011 onward, while the most extreme drought events occurred in the coastal areas. Furthermore, trends in drought intensity, tendency, frequency, and duration were identified within the same delta region, demonstrating that combining SPI with other indicators can detect drought patterns in the Mekong Delta. These findings emphasize the importance of comprehensive evaluation of drought tendencies, including in understudied regions, for a better understanding of the features and future of water resources management
Algebraic Connectivity Maximizing Regular Graphs: Special Case Analysis and Depth‐First Search
Full text linkThe algebraic connectivity is an indicator of how well connected a graph is. It also characterizes the convergence speed of some dynamic processes over networks. In this paper, taking into account that homogeneous networks are modeled as regular graphs, we tackle the following problem: given a pair (, ) of positive integers such that is less than and kn is an even number, find a -regular graph with vertices that have the maximum algebraic connectivity. We first consider some special cases and derive solutions through theoretical analysis. We next present depth-first search algorithms for solving the problem, which reduce the search space by making use of some known properties of the regular graph and the algebraic connectivity.We also show the results of execution of the proposed algorithms for the values of up to 12
Bladder Trigone as a Sensory Hub: A Narrative Review
No full textThe bladder trigone is an anatomically and functionally distinct region within the lower urinary tract (LUT), characterized by a dense network of afferent sensory fibers, specialized urothelial interactions, and prominent mechanotransduction mechanisms. Its intricate neuroarchitecture enables precise detection of bladder filling and coordination of micturition, whereas dysregulation of these pathways contributes to lower urinary tract symptoms (LUTS), including urgency, frequency, and bladder pain. Despite its recognized clinical relevance, the structural and functional basis of trigonal sensory signaling - and its role - remain incompletely understood.
This review synthesizes current evidence on trigonal afferent organization, integrating data from anatomical mapping, receptor profiling, electrophysiological characterization, and translational research. Seminal anatomical observations are combined with recent advances in mechanotransduction and purinergic, peptidergic, and transient receptor potential (TRP) signaling to provide a comprehensive perspective. The trigone exhibits three principal afferent classes: (1) intraepithelial fibers penetrating umbrella cells, marked by P2X purinoceptor 3 (P2X3), transient receptor potential vanilloid 1 (TRPV1), calcitonin gene-related peptide (CGRP), and substance P (SP); (2) subepithelial plexuses surrounding microvasculature, enriched in vasoactive neuropeptides and exhibiting plastic hypertrophy in overactive bladder (OAB) and interstitial cystitis/bladder pain syndrome (IC/BPS); and (3) encapsulated corpuscular endings at the lamina propria-detrusor junction, expressing PIEZO1/2 and acid-sensing ion channels (ASICs) for rapid adaptation. In trigeminal dorsal root ganglion (DRG) neurons, high expression of PIEZO2, P2RX3, and voltage-gated sodium channel, type 1.8 (Nav1.8) was observed, revealing their role as the foundation for multisensory information processing. Functional assays highlight distinct mechanotransductive and chemosensory pathways, with aging, inflammation, and neurotrophic factors driving afferent plasticity underlying abnormal bladder sensation, such as urgency, frequency, and pain. Early clinical trials of P2X3 antagonists and intravesical TRPV1 inhibitors demonstrate promising symptomatic benefits. Collectively, evidence positions the bladder trigone as a critical sensory hub where neuronal, urothelial, and immune signals converge to regulate bladder sensation. Understanding its molecular and structural specialization may inform the development of region-specific neuromodulatory therapies targeting sensory urgency and afferent-driven bladder dysfunction
A Study on Resonance in Voice Training of a Vocal Music: Based on a Questionnaire Survey of Students in a Teacher Training Department
No full text 本稿では，歌唱における発声について，共鳴の視点から，発声を習得する上での問題点や共鳴に対する課題について検討した。合唱指揮者や指導者等の発声における共鳴の捉え方では，共鳴は，頭蓋骨のすべての共鳴腔，音高と声区，声量，顎の開き，蝶形骨等の骨との密接な関係があり，音色形成との複雑な関連性があることを確認した。次に小中学校の学習指導要領や音楽教科書の発声記述について概観した結果，小中学校を通して，段階的に共鳴について，イメージと生理学的面から児童生徒に学習させていることが示された。教員養成学部に在籍する学生に対する発声の質問紙による実態調査では，共鳴は難しい領域という共通認識があり，特に，発声の自己評価が低めのグループにその傾向が強くみられた。生理学的な理解，イメージ的な表現，実際に生成される声，これら相互の関係を解明する必要がある
