Beijing Chaoyang Emergency Medical Center

Retroauricular hyaluronic acid (HA) injection can enhance the cranio-auricular angle, thereby reducing perceived facial width and enhancing aesthetic appeal. Although this is generally a safe procedure, acute facial nerve paralysis is a rare but devastating complication. The aim of this study is to characterize the MRI features of acute facial paralysis following retroauricular HA injection, including manifestations of nerve injury and the distribution of the injected material, and to infer the potential etiology of the facial paralysis based on imaging findings. 15 patients presenting with acute complete unilateral facial paralysis following retroauricular HA filler injection between December 1, 2023, and August 10, 2025 were identified. No perceivable improvement was seen despite non-surgical interventions for 2 weeks. MRI using a 3.0-T scanner was conducted to acquire gadolinium-enhanced T1-weighted and T2-weighted images. Each segment of the facial nerve was evaluated, and the diffusion range of the HA injection was observed by examining the contralateral side. MRI demonstrated significant enhancement of the facial nerve on the affected side compared to the unaffected side in the tympanic (P = 0.006), mastoid (P = 0.004), and parotid segments (P < 0.001) on contrast-enhanced T1-weighted images. Additionally, the HA filler exhibited extensive diffusion (46.7 ± 12.2 mm horizontally, 53.1 ± 12.2 mm vertically) and infiltrating adjacent tissue spaces. This group of patients showed widespread distribution of HA beyond the injection site. Additionally, persistent facial nerve edema and enhancement were mainly localized to the tympanic segment and its distal end of the facial nerve, indicating a possible need for facial nerve decompression in this cohort. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Precision medicine is increasingly applied in stomatology by enabling personalized diagnosis and treatment tailored to individual patient needs, and fulfilling this promise involves a convergence of medicine and engineering. Laser is a coherent light that functions as a diagnostic tool and provides tailored energy that can be precisely modulated spatially and temporally for direct treatment of diseases and for the production of delicate dental devices. However, reproducible outcomes depend not only on clinical technique but also on system-level factors central to optomechatronics how energy is delivered, sensed, and regulated in the presence of intraoral variability. Stomatology’s complexity and requirement for customized treatment make laser applications attractive across domains such as photobiomodulation, caries removal, and fabrication of dental implants and invisible braces, where accuracy, efficiency, and minimally invasive workflows are often reported. This review synthesizes laser success in oral medicine from both tissue removal and reconstruction perspectives, mapping common modalities to delivery architectures, controllable parameters including spot size, fluence or irradiance, pulse structure, repetition rate, scan speed, and dwell time, and candidate feedback signals. In addition, we highlight the intertwinement of lasers and digitalization, including artificial intelligence–enabled planning, robotic or digitally guided laser treatments, and three-dimensional laser printing of customized devices, with emphasis on integration challenges such as dosimetry reporting consistency, feedback reliability, motion compensation, latency, and safety interlocks.

ABSTRACT The liquid‐solid conversion of lithium polysulfides (LiPSs) to Li 2 S 2 /Li 2 S (Li 2 S x ⇄Li 2 S) impedes the sulfur reduction reaction (SRR) in lithium–sulfur (Li–S) batteries due to the slow kinetics and a high energy barrier. Herein, a heterostructure catalyst composed of Fe‐NC modified ZnCo 2 O 4 (Fe‐NC@ZnCo 2 O 4 ) is designed to accelerate LiPSs conversion (especially, Li 2 S 4 ⇄Li 2 S) via modulating the electron environment of the central atomic 3d‐orbital. Based on experimental results and DFT calculations, the introduction of Fe‐NC induces electron delocalization in the Co 3d orbital and eliminates the original bandgap of ZnCo 2 O 4 (1.98 eV). These delocalized electrons serve as electronic active centers, strengthening coupling between the metal 3d orbital and S n 2 − species in LiPSs and resulting in faster LiPSs redox kinetics. As a result, the S/Fe‐NC@ZnCo 2 O 4 cathode delivers a high capacity of 1449.7 mAh g − 1 at 0.1C and outstanding cycling stability with a decay rate of 0.057% per cycle over 600 cycles at 1.0C. Even under a high sulfur loading of 8.97 mg cm − 2 , a remarkable capacity of 917.5 mAh g − 1 is achieved. This work provides deep insights into orbital modulation for designing high‐performance Li–S catalysts.

Diabetic cardiomyopathy is a specific form of heart dysfunction that occurs in diabetic patients independent of other cardiomyopathies such as coronary artery disease. It significantly contributes to heart failure and mortality in this population. The pathogenesis of diabetic cardiomyopathy mainly includes oxidative stress, inflammatory response, apoptosis and disrupted mitochondrial homeostasis. Mitochondrial homeostasis, encompassing mitochondrial dynamics, mitochondrial oxidative metabolism and mitophagy, is regulated by a variety of signaling pathways and plays a pivotal role in maintaining the normal function of cardiomyocytes. At present, the exact mechanisms underlying diabetic cardiomyopathy pathogenesis remain unclear, and effective prevention and treatment methods are lacking. This review therefore expounds the pathogenesis of diabetic cardiomyopathy from the perspective of mitochondrial homeostasis, providing new approaches to clinical management.

Lottery, as a global form of entertainment and investment, is diverse in types and attracts a large number of consumers. In recent years, the profit from lottery in China has been huge. To have a more thorough understanding of this consumer group, this article will analyze the influencing factors of lottery purchasing behavior among young consumers by combining psychology. This study collected data by distributing questionnaires and found that the main purchasing factor for lottery consumers was to improve their economic situation by buying lottery tickets to win prizes, while a small number of people bought lottery tickets for entertainment purposes. And after winning the lottery, they will exhibit irrational behavior, that is, they will continue to buy lottery tickets after winning, overestimating the low probability of winning events. The investigation of this study compensates for the previous understanding of the short-term impact of consumers' lottery purchases and their behaviors when purchasing lottery tickets, providing a better understanding. This helps to alert consumers to maintain a rational attitude and have a clear purpose when purchasing lottery tickets. It also enables merchants to have a better understanding of the psychology and behavior of the consumer group.

The early screening of sarcopenia represents a critical clinical need amid the accelerating global aging population. Current diagnostic methods, relying on bioelectrical impedance analysis (BIA), handgrip strength testing, and other clinical examinations, depend on costly medical equipment and struggle to concurrently assess both muscle mass and strength. Herein, we propose a Wearable Sarcopenia Assessment System (WSAS), which employs an integrated hybrid surface electromyography (sEMG)-piezoelectric strain sensing platform to synchronously capture electrophysiological signals and mechanical deformation signals during muscle contraction in handgrip tests (signal-to-noise ratio: 34.32 dB), and incorporates a CNN-LSTM deep learning framework. This model was trained using nine physiologically relevant features (including root mean square (RMS), mean absolute value (MAV), and integrated EMG (iEMG)) extracted through feature engineering as prior knowledge. Validated in a cohort of 75 elderly participants, the proposed system achieved a screening accuracy of 99.85% with an area under the curve (AUC) of 0.97. Shapley additive explanations (SHAP)-based interpretability analysis further revealed that WSAS captures neuromuscular alterations associated with sarcopenia, including type II-to-type I muscle fiber transition and neuromuscular junction remodeling. These results demonstrate the potential of WSAS as a portable, low-cost, and radiation-free platform for early-stage sarcopenia screening.

To investigate the diagnostic value of contrast-enhanced ultrasound (CEUS) in idiopathic retroperitoneal fibrosis (IRPF) activity and establish an optimal ultrasound-supplemented scoring method to evaluate the activity of IRPF. The retrospective study included 139 CEUS examinations of 59 IRPF patients treated in our hospital from January 2017 to January 2025. They were divided into the IRPF active group (66 examinations) and the inactive group (73 examinations). The parameters between the 2 groups were compared by univariate analysis. Spearman rank correlation was used to analyze the association between the parameters and IRPF activity. Significant parameters were scored according to the correlation coefficients (rs). The receiver operating characteristic (ROC) curve was drawn to evaluate the diagnostic efficiency of the scoring method. Univariate analysis showed that the incidence of back pain, ESR, CRP, lesion thickness, and CEUS grade was higher in the active group than in the inactive group (P<0.01). The CEUS grade and thickness had the strongest association with IRPF activity [rs=0.710 (95% CI: 0.616-0.784) and 0.703 (95% CI: 0.608-0.778), respectively]. The total score of the active group was significantly higher than that of the inactive group (P<0.001). The ROC curve showed that the optimal cutoff value was 3 scores. The sensitivity, specificity, positive, and negative predictive values were 84.85%, 83.56%, 82.35%, and 85.92%, respectively. The area under the ROC curve was 0.935 (95% CI: 0.880-0.970). In conclusion, CEUS was an excellent noninvasive diagnostic tool for assessing the activity of IRPF.

The cerebrospinal fluid (CSF) metabolites could potentially direct reflecting the biochemical processes involved in central nervous system metabolism. This study aims to delineate the potential causal relationships between CSF metabolites and Glioblastoma (GBM) using Mendelian Randomization (MR) analysis. This research employs a two-sample MR framework, utilizing genetic instrumental variables derived from GWAS datasets corresponding to CSF and plasma metabolites, and GBM. Data from separate samples for the exposure and outcome were analyzed using specialized R packages designed for two-sample MR and Bayesian weighted MR analyses. Significant causal relationships were identified between GBM and several CSF metabolites through two-sample MR analysis mainly using the IVW method. Notably, associations were observed with 3-methoxytyramine sulfate (OR 1.039, 95% CI 1.010 to 1.070, p-value 0.009), caffeine (OR 1.132, 95% CI 1.021 to 1.255, p-value 0.018), dimethyl sulfone (OR 1.087, 95% CI 1.002 to 1.178, p-value 0.043), fructose (OR 0.985, 95% CI 0.969 to 0.998, p-value 0.049), and phenol sulfate (OR 1.074, 95% CI 1.020 to 1.131, p-value 0.007). An inverse causal relationship was also observed between CSF fructose levels (as exposure) and GBM (OR 0.255, 95% CI 0.089 to 0.725, p-value = 0.010), suggesting protective effects. These findings were substantiated through Bayesian MR analysis. The study highlights significant links between specific CSF metabolites and GBM, suggesting that these metabolites may influence tumor biology and could serve as potential biomarkers for GBM diagnosis and progression.