SimID: Wi-Fi-Based Few-Shot Cross-Domain User Recognition with Identity Similarity Learning.

In recent years, indoor user identification via Wi-Fi signals has emerged as a vibrant research area in smart homes and the Internet of Things, thanks to its privacy preservation, immunity to lighting conditions, and ease of large-scale deployment. Conventional deep-learning classifiers, however, suffer from poor generalization and demand extensive pre-collected data for every new scenario. To overcome these limitations, we introduce SimID, a few-shot Wi-Fi user recognition framework based on identity-similarity learning rather than conventional classification.

Feasibility and Safety of Nonintubated Anesthesia in Pediatric Video-assisted Thoracoscopic Surgery: A Preliminary Report.

Objective: There is a paucity of literature regarding the application of nonintubated anesthesia in pediatric thoracoscopic surgery. This study provides a systematic description of the authors' anesthetic regimen and evaluates the feasibility and safety of nonintubated anesthesia in pediatric video-assisted thoracoscopic surgery.

Design: A retrospective observational study.

CAREC: Continual Wireless Action Recognition with Expansion-Compression Coordination.

In real-world applications, user demands for new functionalities and activities constantly evolve, requiring action recognition systems to incrementally incorporate new action classes without retraining from scratch. This class-incremental learning (CIL) paradigm is essential for enabling adaptive and scalable systems that can grow over time. However, Wi-Fi-based indoor action recognition under incremental learning faces two major challenges: catastrophic forgetting of previously learned knowledge and uncontrolled model expansion as new classes are added.

Rivaroxaban-induced spontaneous hemothorax: a rare case report and literature review.

Introduction: Rivaroxaban, a novel oral anticoagulant, is widely used in patients with non-valvular atrial fibrillation. Bleeding events during rivaroxaban therapy most commonly include gastrointestinal bleeding and intracranial hemorrhage, while spontaneous hemothorax is exceedingly rare. We report a case of spontaneous hemothorax occurring during rivaroxaban administration.

New Diagnostic and Therapeutic Targets for Spinal Cord Injury: GRN Gene.

Spinal cord injury (SCI) is a severe disabling disease due to the poor self-healing of the central nervous system. Studies showed that many N6-methyladenosine (m6A) RNA methylation profiles are hypomethylated after SCI, which are related to neural regeneration and different m6A marker genes. In addition, immune cell infiltration may significantly affect the development and progression of SCI.

Study on the influence of new quality productivity on carbon emissions of the manufacturing industry.

Using 30 provinces, autonomous regions, and municipalities in China (excluding Tibet, Hong Kong, Macau, and Taiwan) as research samples from 2012 to 2022, the study examines the nonlinear impact of new quality productivity on carbon emissions in the manufacturing industry. It discusses the mediating role played by labour productivity in manufacturing and industrial agglomeration between the two. The study finds that: there is an inverted U-shaped relationship between new productivity and manufacturing carbon emissions; labour productivity in manufacturing and industrial agglomeration play a partly intermediary role in the inverted U-shaped relationship, with the most substantial intermediary effect played by industrial agglomeration, followed by labour productivity in manufacturing; the test of heterogeneity shows that: compared with the economically underdeveloped and low-urbanized provinces and municipalities, the impacts of new productivity of the economically developed and highly urbanized provinces and municipalities on manufacturing carbon emissions show a significant inverted U-shaped relationship, followed by a strong intermediary effect played by labour productivity in manufacturing.

Characterizing the neural representations and decoding performance of foot rhythmic motor execution or imagery guided by action observation.

. The limited spatial resolution inherent in electroencephalography (EEG), a widely-adopted non-invasive neuroimaging technique, combined with the intrinsic complexity of performing unilateral lower-limb motor imagery (MI), restricts decoding accuracy. To address these challenges, we propose a paradigm based on action observation-guided rhythmic motor execution (AO-ME) and motor imagery (AO-MI), designed to simplify task demands and enhance decoding performance.

Static and transient vacuolation in protein-based coacervates induced by charged amino acids.

Vacuolation is a common phenomenon observed in many subcellular membrane-less organelles, such as paraspeckles, granules and nucleoli. Previous work suggests that such dynamic sub-structuration can be a result of charge disproportion at super-stoichiometric ratios of the assembling component. In this work, we demonstrate that other than remodeling the large coacervate-constituting components, the introduction of small charged motifs, amino acids, can also lead to the formation of static vacuoles in the coacervate droplets.

A machine-learning-powered spectral-dominant multimodal soft wearable system for long-term and early-stage diagnosis of plant stresses.

Addressing the global malnutrition crisis requires precise and timely diagnostics of plant stresses to enhance the quality and yield of nutrient-rich crops, such as tomatoes. Soft wearable sensors offer a promising approach by continuously monitoring plant physiology. However, challenges remain in identifying direct physiological indicators of plant stresses, hindering the development of accurate diagnostic models for predicting symptom progression.

Application of Antifreeze Substances in Food Cryopreservation.

Freezing is a crucial technology for preserving food quality and extending shelf life. However, frozen storage often leads to protein oxidation, degradation, and cellular structural damage, compromising food palatability. To address these challenges, antifreeze substances have emerged as a promising solution.

Shen-Ying-Yang-Zhen formula promotes angiogenesis around hair follicles, alleviates oxidative stress, and inhibits hair follicle apoptosis through the VEGF/Akt/Caspase-9 signaling axis.

Background: Androgenic alopecia (AGA) represents the most predominant form of hair loss in clinical practice, yet currently approved pharmacological options (e.g., finasteride and minoxidil) face limitations in safety and long-term efficacy.

Airway management in pediatric tracheoesophageal fistula repair with tracheostomy and stents: a case report.

Background: The airway management of complex tracheoesophageal fistula repairs in pediatric patients presents unique challenges, particularly in cases involving pre-existing tracheostomy and tracheal stenting. The combination of restricted mouth opening, altered airway anatomy secondary to tracheal stents, and the presence of a tracheostomy creates significant technical obstacles in establishing effective one-lung ventilation during thoracoscopic procedures. This report describes a novel and successful one-lung ventilation strategy in a complex pediatric case, demonstrating the feasibility of one-lung ventilation under these challenging anatomical constraints.

Wavelet analysis text classification algorithm based on typical features of data samples.

Currently, traditional text feature extraction methods fail to fully capture category-specific features when handling text data with existing category labels, thereby limiting classification performance. Meanwhile, text classification methods based on wavelet analysis have yet to achieve optimal performance due to the limitations of their feature extraction and analysis techniques. To address these issues, this paper proposes two novel algorithms: (1) Average Term Frequency-Document Frequency (ATF-DF), which adopts a forward-thinking approach to comprehensively extract category-specific features from labeled text samples, resulting in class feature vectors that effectively represent the text categories; (2) Average Term Frequency-Document Frequency-Wavelet Analysis (ATF-DF-WA), which transforms class feature vectors into waveforms and utilizes wavelet analysis to extract typical class feature layer waveforms and feature layer waveforms of the text to be classified.

Interaction of neuropilin-1 and hepatocyte growth factor/C-Met pathway in liver fibrosis progression in hepatocyte-specific NRP-1 knockout mice.

Background: Hepatocyte growth factor (HGF)/c-Met signaling critically influences liver fibrosis, but its interaction with neuropilin-1 (NRP-1) in hepatocytes remains unclear. We investigated the role of hepatocyte-specific NRP-1 deletion in liver fibrosis progression and its relationship with the HGF/c-Met pathway.

Methods: Hepatocyte-specific NRP-1 knockout mice were generated using the Cre-lox system, and liver fibrosis was induced by carbon tetrachloride injections or a methionine- and choline-deficient diet.

Synthesis, characterization, and in vitro hypolipidemic mechanisms of sugar-SA triazole conjugates as potent pancreatic lipase inhibitors.

Plant-derived polyphenols such as syringic acid (SA) are promising modulators of lipid metabolism, yet their clinical utility is limited by poor aqueous solubility. Here, we report a four-step click chemistry strategy to conjugate hydrophilic sugar moieties to SA, yielding a series of sugar-SA triazole derivatives with markedly enhanced solubility and stability. Among these, the glucose conjugate (GS) exhibited the most potent pancreatic lipase (PL) inhibition, surpassing orlistat, and significantly improved cholesterol and bile salt binding.

IL-21 Loading CaMnCO Vitality Backpacks Boost CAR-T Cell Synergistic Immunotherapy.

Chimeric antigen receptor (CAR)-T-cell therapy achieves considerable success in the treatment of malignant tumors, but clinical relapse due to the tumor microenvironment (TME) is very common. The TME of solid tumors is characterized by weak acidity, hypoxia, and elevated reactive oxygen species (ROS) levels, which collectively impair the function and persistence of infiltrating CAR-T cells. In this study, acid-sensitive responsive CaMnCO nanoparticles (CMC NPs), are developed that simultaneously mitigate TME acidosis and hypoxia.

Machine-Learning-Powered, Rapid, Accurate, and Multi-Target Mechanical Metamaterials Inverse Design.

Multi-target inverse design, which involves designing multiple targets with different optimization objectives, becomes a key focus in mechanical metamaterials (MMs) design. Specifically, many practical applications impose varying requirements for different sections. For instance, the heel of a sole demands to provide support, while the arch should be comfortable, adequately supportive, and lightweight.

An Improved SHANEL Procedure for Clearing and Staining Brain Tissue from Multiple Species.

Recent advances in tissue clearing chemistry have revolutionized three-dimensional imaging by enabling whole-organ antibody labeling, even in thick human tissue samples. However, these techniques face limitations, including reduced clearance efficiency in thick tissue blocks, prolonged processing times, and other challenges specific to formalin-fixed human brain tissue, such as autofluorescence due to the presence of lipofuscin, neuromelanin pigments, and residual blood. To address these challenges, we have developed an improved SHANEL procedure, iSHANEL, which is compatible with brain tissue from multiple species, including nonrodents.

Bio-inspired multimodal soft grippers: a review.

In nature, organisms have evolved diverse grasping mechanisms to perform vital functions such as hunting and self-defence. These time-tested biological structures, including the arms of octopuses and the trunks of elephants, offer valuable inspiration for designing multimodal soft grippers that can tackle diverse tasks in various environments. Similar to their biological counterparts, these grippers must adapt to dynamic working conditions to enhance their performance.

Anatomical basis of endoscopic endonasal internal carotid artery transposition technique-freeing the limiting structures.

To investigate the relevant surgical anatomy of the endonasal endoscopic ICA transposition technique (EEITT). Six cadaveric heads were prepared for dissection. The trabeculae fibers in the cavernous sinus(CS), branches of cavernous segment ICA (csICA), dura rings and the bony structures around the ICA were meticulously dissected and photographed.

Ras-related protein Rab24 plays a predictive role in hepatocellular carcinoma and enhanced tumor proliferation.

Background: Ras-related protein Rab24, which belongs to the small GTPase family, plays a crucial role in regulating intracellular protein trafficking. Dysregulation of has been recently identified in hepatocellular carcinoma (HCC). However, its clinical significance and tumor related effects remain to be further clarified.

Knowledge-Driven Framework for Anatomical Landmark Annotation in Laparoscopic Surgery.

Accurate and reliable annotation of anatomical landmarks in laparoscopic surgery remains a challenge due to varying degrees of landmark visibility and changing shapes of human tissues during a surgical procedure in videos. In this paper, we propose a knowledge-driven framework that integrates prior surgical expertise with visual data to address this problem. Inspired by visual reasoning knowledge of tool-anatomy interactions, our framework models a spatio-temporal graph to represent the static topology of tool and tissue and dynamic transitions of landmarks' temporal behavior.

Environmental pollution evaluation and spatiotemporal distribution of different forms of phosphorus in a phosphate mining area in Western Hubei, China.

Taking the typical phosphate mining area in Western Hubei as the research object, groundwater, surface water, soil and sediment in phosphate mining area were investigated and evaluated comprehensively to clarify the temporal and spatial distribution characteristics of different forms of phosphorus in phosphate mining area and reveal the migration and transformation of phosphorus. Results showed that whether in the dry season or the wet season, total phosphorus levels in groundwater (dry season from November to December 2021, 0.42 mg/L; wet season from August to September 2022, 0.

AI-assisted flexible electronics in humanoid robot heads for natural and authentic facial expressions.

The realization of natural and authentic facial expressions in humanoid robots poses a challenging and prominent research domain, encompassing interdisciplinary facets including mechanical design, sensing and actuation control, psychology, cognitive science, flexible electronics, artificial intelligence (AI), etc. We have traced the recent developments of humanoid robot heads for facial expressions, discussed major challenges in embodied AI and flexible electronics for facial expression recognition and generation, and highlighted future trends in this field. Developing humanoid robot heads with natural and authentic facial expressions demands collaboration in interdisciplinary fields such as multi-modal sensing, emotional computing, and human-robot interactions (HRIs) to advance the emotional anthropomorphism of humanoid robots, bridging the gap between humanoid robots and human beings and enabling seamless HRIs.