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Audio-visual learning, aimed at exploiting the relationship between audio and visual modalities, has drawn considerable attention since deep learning started to be used successfully. Researchers tend to leverage these two modalities to improve the performance of previously considered single-modality tasks or address new challenging problems. In this paper, we provide a comprehensive survey of recent audio-visual learning development. We divide the current audio-visual learning tasks into four different subfields: audio-visual separation and localization, audio-visual correspondence learning, audio-visual generation, and audio-visual representation learning. State-of-the-art methods, as well as the remaining challenges of each subfield, are further discussed. Finally, we summarize the commonly used datasets and challenges.

A 59-year-old man presented with a 4-week history of severe itching in his pubic region after sexual contact with a new partner. On examination, nits and crab-shaped lice (shown in a video) were seen attached to pubic hairs.

A new filter material, manganese oxide film coated clinoptilolite (MOFCC), was characterized and introduced to explore the effect in treating high concentration of manganese (1.71–2.12 mg L −1 ) from aqueous solution in fixed-bed column. Adsorption behavior of Mn(II) can be approximately described with the Langmuir isotherm. During the continuous 30 days filtration experiment, the removal rate of Mn(II) has maintained to be above 95.51%, the accumulated removal amount (806.42 mg) is much higher than the theoretical adsorption capacity (89.71 mg), which indicated that the removal of manganese by MOFCC includes both adsorption and auto-catalytic oxidation process, and it does not require a start-up period. SEM, EDS, XPS, XRD, ZETA potential and BET analyses were used to observe the surface properties of MOFCC. The manganese oxide film of MOFCC exhibits in clusters, apparently on occupied surface, the main component of the manganese oxide film is (Na 0.7 Ca 0.3 )Mn 7 O 14 ·2.8H 2 O, the specific surface area of MOFCC is 38.76 m 2  g −1 , and the pore size is concentrated in the range of 3–40 nm, within the mesoporous range mesopores. pH pzc (point of zero charge) value is about 2.36. The characteristics of MOFCC make it an excellent manganese removal filter material for water treatment plant. Therefore, there is a long-term practical significance to develop new system for deep removal of manganese based on MOFCC.

The harm caused by marine plastic pollution to the wider environment highlights its importance as a governance issue. The Fifth United Nations Environment Assembly (UNEA) adopted a resolution, “End Plastic Pollution: Towards an International Legally Binding Instrument”, which represents a shift towards globalism in the governance of marine plastic pollution. This resolution focuses on the circular economy of plastics and highlights the role of corporations in contributing to a more socially responsible society, thereby increasing emphasis has been placed on the Extended Producer Responsibility (EPR) system that integrates the two factors referred to above. This paper provides a full technical explanation of the EPR system and its implementation in entities such as the European Union, the United States, and China. The challenges faced when integrating the EPR system into international legal instruments for plastic governance were identified, including the different national perspectives, the absence of a supervisor in the public domain, the obscurity of its application, and the lack of supporting measures for the implementation of the system. Therefore, new standards and requirements in the governance of marine plastic pollution and the advantages associated with implementing the full-life-cycle obligations under the EPR system on plastic producers should be fully considered. On this basis, the positioning and implications of the EPR system should be clarified by obligation-oriented regulation and extension-based interpretation. Moreover, the extended and prolonged applicability of the system, including the original sources of marine plastic wastes and considerations of the full-life-cycle of plastics, should be achieved in pursuit of improvements and upgrades in application and complementary policies. If this can be achieved, it is hoped that the goals of protecting human health and controlling plastic pollution can be achieved, contributing to the development of an ocean-based economy and a better world.

A bstract Ab-initio simulations of multiple heavy quarks propagating in a Quark-Gluon Plasma are computationally difficult to perform due to the large dimension of the space of density matrices. This work develops machine learning algorithms to overcome this difficulty by approximating exact quantum states with neural network parametrisations, specifically Neural Density Operators. As a proof of principle demonstration in a QCD-like theory, the approach is applied to solve the Lindblad master equation in the 1 + 1d lattice Schwinger Model as an open quantum system. Neural Density Operators enable the study of in-medium dynamics on large lattice volumes, where multiple-string interactions and their effects on string-breaking and recombination phenomena can be studied. Thermal properties of the system at equilibrium can also be probed with these methods by variationally constructing the steady state of the Lindblad master equation. Scaling of this approach with system size is studied, and numerical demonstrations on up to 32 spatial lattice sites and with up to 3 interacting strings are performed.

Unlike the traditional survey methods of the tape and the rule, photogrammetry offers an innovative means of surveying, documenting, and analyzing Chinese architecture. This technique captures the actual dimensional data of buildings and reconstructs them in a virtual space with a level of accuracy and precision that can match or even surpass models made through terrestrial laser scanning. For architectural historians, photogrammetry demands a more comprehensive process of looking at and photographing the entire building or site, allowing documentation of the real-life experience of viewing architecture as well as providing all-inclusive information on aspects including size, geometry, color, texture, lighting, level of visibility, and condition of preservation.

Background Osteoporosis and kidney stones share several common pathophysiological risk factors, and their association is well-established. However, previous studies have primarily focused on environmental mediators, such as diet, and the precise mechanism linking these two conditions remains unclear. Methods The relationship between osteoporosis and kidney stones was analyzed using weighted multivariate logistic regression, employing data from five cycles of the National Health and Nutrition Examination Survey (NHANES) from 2007–2010, 2013–2014, and 2017–2020. Gene expression data from the Gene Expression Omnibus (GEO) microarray database were integrated with machine learning techniques to identify key genes involved in both osteoporosis and kidney stones. Common targets were then identified through the Comparative Toxicogenomics Database (CTD) and GeneCards. GMFA enrichment analysis was performed to identify shared biological pathways. Additionally, drug prediction and molecular docking were employed to further investigate the pharmacological relevance of these targets. Results Analysis of the NHANES database confirmed a strong association between osteoporosis and kidney stones. Weighted multivariate logistic regression showed that osteoporosis (OR: 1.41; 95% CI 1.11–1.79; P  < 0.001) and bone loss (OR: 1.24; 95% CI 1.08–1.43; P  < 0.001) were significantly correlated with an increased risk of kidney stones. Three hub genes—WNT1, AKT1, and TNF—were identified through various analytical methods. GMFA revealed that the mTOR signaling pathway is a key shared pathway. Molecular docking studies further confirmed the pharmacological relevance of these targets, demonstrating strong binding affinity between drugs and the proteins involved, consistent with previous findings. Conclusion Bone loss is associated with an increased risk of kidney stones. Targeting the mTOR signaling pathway may offer a potential therapeutic approach for treating both osteoporosis and kidney stones.

Although hypertension is a prominent vascular risk factor for late-life cognitive decline, the underlying pathophysiological mechanism remains unclear. Accordingly, the aim of this study was to examine the role of white matter microstructural integrity in hypertension-related cognitive detriments. We recruited 66 cognitively normal older adults, comprising 41 hypertensive patients and 25 normotensive controls. All participants underwent a comprehensive neuropsychological battery. White matter microstructural integrity was assessed using a tract-based automatic analysis approach derived from diffusion spectrum imaging. Mediating effects of white matter integrity were evaluated using structural equation modeling analyses. The results revealed that hypertensive older adults displayed poorer processing speed, executive function, and memory encoding. Lower white matter microstructural integrity was observed in the hypertensive elderly patients, primarily in long-range association fiber bundles. In particular, low microstructural integrity in specific tract bundles connecting frontal and posterior cerebral regions was found to underlie the adverse relationships between hypertension and multiple cognitive domains, including processing speed, executive function, memory encoding, and memory retention. Our findings suggest that hypertension may impair multiple cognitive functions by undermining white matter microstructures, even in cognitively intact older adults, thus further highlighting the necessity of monitoring vascular health to prevent cognitive decline. HTN is related to multiple cognitive detriments even in cognitively intact elderly.White matter microstructural integrity was examined via diffusion spectrumimaging.Microstructural integrity of the long-range bundles decreased in the HTN elderly.White matter integrity mediates the relationships between HTN and cognitions.IFOF is the strategic white matter bundle mediating HTN to cognitivedetriments.

•MR-compatible hand-adaptive multichannel device for tactile stimulation.•Somatotopic maps of the human hand in primary somatosensory cortex in between- and within-digit dimensions using 7T fMRI.•Somatotopic map in random order paradigm verified the leading function of the thumb compared to other fingers. The 7T functional magnetic resonance imaging (fMRI) can provide a detailed somatotopic map. However, due to the constraints of MR-compatible applications, current tactile stimulation devices for the human hand are insufficient for precise somatotopic mapping experiments. In this study, we developed a novel 23-channel, hand-adaptive tactile stimulation device with high temporal and spatial resolution. The device consisted of an execution module and a control module. The device's output performance was measured using a laser displacement sensor. We investigated the somatotopic map of the non-dominant hand in the primary somatosensory cortex (S1) using the Bayesian population receptive field (pRF) model. The activation patterns, relative volumes, and activation center locations on S1 were assessed in somatotopic mapping experiments involving traveling wave stimulus paradigms with three stimulus orders (forward, backward, and random) in two dimensions (between-digit and within-digit). The percussive stimulation provided by the tactile stimulation device exhibited a stable displacement (2.58 mm) and a minimal output delay (4.45 milliseconds) across a wide range of vibration frequencies (0–30 Hz). The representation of digits and the palm in the between-digit dimension showed consistent somatotopic organization (D1-D2-D3-D4-D5-palm along the postcentral gyrus (poCG) from ventral to dorsal) across all three stimulation orders. Additionally, the relative volume of D1 in the random paradigm was significantly larger than in the forward and backward paradigms. The relative volume of the palm in the random paradigm was significantly larger than in the backward paradigm. The representation of the phalanges and palm in the within-digit dimension exhibited different activation patterns across different stimulation orders. These results provide new insights into the neural mechanisms in S1 and validate that the developed stimulation device can contribute to exploring the somatotopic map of the human hand.