ObjectiveThe widespread adoption of portable fundus cameras for primary care and community screening is hindered by limitations in current autofocus(AF) technologies. Image-based methods relying on sharpness evaluation require iterative searches, resulting in slow convergence, while projection-based techniques are susceptible to optical artifacts and calibration errors. To address these challenges, this study introduces a novel AF system based on direct wavefront sensing, designed to deliver simultaneous high speed, high precision, and operational robustness within the compact form factor essential for portable ophthalmic devices. MethodsOur approach fundamentally reimagines the AF process by directly measuring the ocular wavefront aberration. We developed a custom portable fundus camera integrating a miniaturized Shack-Hartmann wavefront sensor (SHWS) into the optical path. An 850 nm laser diode projects a point source onto the retina via oblique illumination to minimize corneal reflections. Light scattered from this spot carries the eye’s refractive error through the imaging optics and is directed to the SHWS, positioned at a plane optically conjugate to the primary color CMOS imaging sensor. A microlens array within the SHWS samples the incident wavefront, generating a pattern of focal spots on a CCD. Real-time centroid analysis of these spots provides a map of local wavefront slopes. These measurements are processed through a singular value decomposition (SVD) algorithm to fit a Zernike polynomial basis set, enabling real-time reconstruction of the wavefront phase. The defocus component (S) is extracted from the second-order Zernike coefficients, providing a direct, quantitative measure of the refractive error in diopters. This value serves as a precise error signal in a closed-loop control system, which commands a voice-coil actuated focusing lens to its null position in a single, deterministic step, eliminating the need for iterative search algorithms. ResultsComprehensive evaluation demonstrated the system’s high performance. Testing on a calibrated model eye (OEMI-7) established a highly linear relationship between the computed defocus S and the focusing lens position across a ±20 Diopter (D) compensation range, achievable within a 5 mm mechanical travel. The system achieved a focusing precision of 0.08 D, corresponding to an 18-fold improvement over a conventional projection spot-size method tested under identical conditions. The total focus acquisition time, encompassing wavefront measurement, computation, and lens actuation, averaged under 0.5 s. Clinical validation with 25 human volunteers (50 eyes, refractive range -15 D to +10 D) confirmed practical efficacy. The wavefront-sensing AF succeeded in 92% of attempts with a mean time of 0.5 s, substantially outperforming a projection-based benchmark which achieved only a 32% success rate with an average time of 4.25 s. The system provided instantaneous directional guidance and maintained stability during minor ocular movements. Objective assessment of image quality, via amplitude contrast of retinal vasculature, showed consistent and significant enhancement following AF correction across the entire tested diopter range. ConclusionThis work successfully implements and validates a direct wavefront-sensing autofocus paradigm for portable fundus cameras. By directly quantifying and compensating for the optical defocus aberration, this method bypasses the fundamental limitations of image-processing and projection-based techniques, enabling rapid, precise, and deterministic diopter compensation. The developed system delivers an exceptional combination of a wide operational range (±20 D), high accuracy (0.08 D), fast convergence (0.5 s), and a compact physical footprint. This technology provides a practical and high-performance focusing solution capable of enhancing the reliability, throughput, and diagnostic utility of portable retinal imaging in large-scale screening applications. Future efforts will be directed towards system cost optimization and performance adaptation for diverse ocular conditions.

Objective To analyze the infection status and epidemic trends of soil-borne nematode infections in Yubei, Chongqing City, in 2010,2021, and 2022. Methods The local populations from four survey sites of four towns in 2010 and five sites of five towns in 2021 and 2022 were surveyed regarding their basic information using a unified form. Fecal samples of the participants were collected and tested for soil-borne nematode infections using the modified Kato-Katz thick smear method. Results In 2010, 2 049 participants were surveyed, followed by 1 000 participants in 2021 and 2022. The overall prevalence of parasitic infections declined significantly from 3.86% to 0.20%. In 2010, soil-transmitted nematode included hookworms(3.81%) and roundworms(0.29%). In 2021, the infection rates of roundworms and hookworms were 1.70% and 0.10% respectively. Notably, only Ascaris was identified in 2022(0.20%). The≥60 age group consistently exhibited the highest infection rates across all surveys, followed by the 40-59 age group. The infection rates of males in the three surveys were 3.31%,1.92%, and 0.20% respectively, and those of females were 4.37%, 1.46%, and 0.20% respectively. There was no statistically significant difference in the infection rates between males and females. Educational attainment was inversely associated with infection; in 2010, the highest prevalence was observed among those with primary education or below, whereas in 2021, illiterate or semi-literate individuals showed the highest susceptibility. The occupational distribution of infections in 2010 indicated that retirees (8.33%), farmers(4.86%), and homemakers or unemployed individuals(3.45%)were the most affected. However, in 2021 and 2022, farmers emerged as the predominant occupational group with soil-transmitted nematode infections. Conclusions The infection rate of soil-borne nematodes showed a decreasing trend in Yubei, and the infection species changed from hookworms in 2010 to Ascaris in 2022. Farmers, the elderly, and people with low education levels should continue to be the focus of preventive and control efforts.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

Background: The surgical neck of the humerus is located approximately 2–3 cm distal to the anatomical neck (collum anatomicum) at the junction of the greater and lesser tubercles and the humeral shaft. Owing to the transition between cortical and cancellous bones, this region is biomechanically vulnerable and prone to fractures, particularly in older adults. Fractures of the surgical neck of the humerus are classified under the International Classification of Diseases, 10th Revision (ICD-10), with diagnostic codes S42.21.3, S42.22, and S42.23. National statistics indicate that 210,763 new trauma cases were reported in Mongolia in 2023, representing an 11.6% increase compared to the previous year, of which 11,452 cases (5.4%) involved shoulder and humeral injuries. Aim: This study aimed to compare the clinical effects of traditional Mongolian bone-setting therapy and surgical treatment on pain intensity, shoulder function, range of motion, and activities of daily living in patients with surgical neck of the humerus fractures. Materials and Methods: Based on the Department of Traditional Therapies of the Mongolian National University of Medical Sciences (MNUMS) and the Department of Orthopedic Trauma of the Inner Mongolia International Hospital, Inner Mongolia Autonomous Region, China, a total of 60 patients diagnosed with surgical neck fractures of the humerus were enrolled in this study between January 2024 and December 2025. The patients were randomly assigned into two groups: a Mongolian traditional bone-setting therapy group (n=30) and a surgical treatment group (n=30). Assessments were conducted before treatment and at 1 month and 3 months after treatment. Shoulder joint range of motion, activities of daily living, and muscle strength were evaluated using the Constant–Murley score, while pain intensity was assessed using the Visual Analog Scale (VAS). The collected data were systematically analyzed, and the therapeutic outcomes of the two treatment modalities were comprehensively compared and summarized. Result: The baseline demographic and clinical characteristics were comparable between the groups. In the traditional bone-setting group, VAS scores decreased significantly, whereas Constant–Murley scores improved markedly at both follow-up points. The overall outcomes in the traditional bone-setting group were significantly better than those in the surgical group (P<0.05). Conclusion Traditional Mongolian bone-setting therapy offers rapid pain relief, superior long-term functional recovery, and fewer complications, making it a valuable treatment option, particularly for elderly patients and those unsuitable for surgery.

Background: Mongolian traditional bone-setting is a non-surgical treatment method for fractures; however, there is a lack of evidencebased research evaluating its effectiveness, which forms the basis of our study. Aim: To study the therapeutic efficacy of traditional bonesetting treatment for surgical neck fractures of the humerus. Materials and Methods: From June 2023 to June 2025, 120 patients diagnosed with surgical neck fractures of the humerus and treated at the Inner Mongolia International Mongolian Hospital were randomly divided into a traditional bone-setting group (n=64) and a surgical treatment group (n=56). Shoulder and upper limb function were evaluated at 1, 3, and 6 months after treatment using the Constant–Murley score, Oxford Shoulder Score (OSS), and Visual Analog Scale (VAS) for pain. Result: A total of 120 patients with surgical neck fractures of the humerus were divided into two groups, with no significant differences in the baseline characteristics (p>0.05).In the traditional bone-setting group, pain (VAS) decreased more rapidly at 1–3 months (p<0.01), while activities of daily living and functional outcomes improved significantly at 3–6 months (p<0.01). At 6 months, shoulder function (Constant–Murley score) was significantly improved (p=0.049).In contrast, the surgical group showed faster recovery in joint range of motion and muscle strength in the early stage; however, by 6 months, the outcomes between the two groups were comparable. Conclusion In the treatment of surgical neck fractures of the humerus, no significant difference was observed between traditional bone-setting and surgical treatment in terms of shoulder range of motion and muscle strength recovery. However, the advantages of traditional bone-setting lie in its ability to relieve pain more rapidly, promote faster functional recovery, improve activities of daily living, and achieve better long-term outcomes than modern bone-setting. Therefore, traditional bone setting is a safe and effective treatment method that aligns with modern theories of bone healing and rehabilitation principles and holds significant value for wider clinical application and further research in the management of surgical neck fractures of the humerus.

AIM To improve the quality standard for Dahuang Sodium Bicarbonate Tablets.METHODS TLC was adopted in the qualitative identification of rhein,emodin,chrysophanol,aloe-emodin,physcion and rhapontin,after which UPLC fingerprints were established,content determination of aloe emodin-8-O-β-D-glucoside,rhein-8-O-β-D-glucoside,emodin-8-O-β-D-glucoside,chrysophanol-8-O-β-D-glucoside,physcion-8-O-β-D-glucoside,aloe-emodin,rhein,emodin,chrysophanol,physcion were performed.RESULTS The clear TLC plots demonstrated good specificity.There were 20 common peaks in the fingerprints for 8 batches of samples with the similarities of more than 0.535.Ten constituents showed good linear relationships within their own ranges(r≥0.997 0),whose average recoveries were 98.7％-104.1％with the RSDs of 0.59％-2.13％,whose content ranges were 0.274 1-2.005 9,0.547 8-5.192 2,1.209 2-3.936 3,1.039 3-3.330 2,0.307 0-1.248 1,0.118 2-0.674 7,0.115 1-0.970 3,0.224 5-1.789 3,0.881 4-4.882 6,0.801 4-5.099 1 mg/g,respectively.CONCLUSION This simple and stable method can effectively control the quality of Rhei Radix et Rhizoma in Dahuang Sodium Bicarbonate Tablets.

Objective To report the diagnosis,treatment,and verification process of a patient with sex development disorder whose chromosomal karyotype and genetic test results are inconsistent,and conduct a literature review to improve the understanding of the mosaic status of sexual development disorders.Methods A 14-year-old patient presented with primary amenorrhea on April 3,2020,at the First Affiliated Hospital of Hebei North University,exhibiting female sexual characteristics.The patient underwent ultrasonic/magnetic resonance imaging of gonads,assessment of gonadal axis function,chromosomal karyotype,and molecular genetic testing,as well as pelvic exploration,malignant gonads resection,and hormone replacement therapy,resulting in drug-induced menstruation.During the diagnosis and treatment,it was found that the patient's chromosomal karyotype analysis was inconsistent with the molecular genetic test results.Subsequently,samples from the three germ layer cells were taken,and fluorescence in situ hybridization(FISH)was used to detect the sex chromosomes in each germ layer cell.XY probes were used to label the gonadal pathological sections to explore the distribution differences of the Y chromosome in the gonads,and changes in anti-Müllerian hormone(AMH)levels before and after surgery were compared.Databases such as Wanfang and PubMed were searched to summarize relevant cohort study literature and understand the current status of research on this disease.Results The patient's body exhibited a significant differences between the 45,X and 46,XY cell lines in different germ layers and within the same layer tissues.The proportion of 45,X in buccal mucosal cells derived from the ectoderm was 30%(6/20),in peripheral blood lymphocytes derived from the mesoderm was 9.7%(11/114),and in bladder shed cells derived from endoderm was 20.4%(22/108).The gonadal pathological sections labeled with XY probes indicated a mosaic state with a reduced Y-chromosome;where the epididymal structure area had a 45,X cell line mosaic of 50.0%,and the malignant area had a normal"Y"content.After gonadal resection,AMH levels significantly dropped from 7.28 pmol/L to＜0.07 pmol/L.Literature review revealed that patients with 45,X/46,XY have a complex phenotype spectrum,most with features of Turner syndrome,and female phenotypes are at risk of gonadal tumors.Conclusions In the diagnosis of difficult cases of sex development disorders,when performing peripheral blood karyotype testing,the number of counted cells and analyzed cells should be increased as much as possible,and multi-germ layer cell sampling should be performed.Gonads with a high"Y"mosaic rate are more prone to malignancy in the abdominal cavity.Detecting AMH levels can distinguish cryptorchidism and anorchidism in sexual development disorders with Y chromosomes.

Objective To explore the correlation of bilateral knee joint strength asymmetry with balance,walking ability,and motor function in hemiplegic stroke patients,providing a reference for clinical assessment of stroke patients.Methods A total of 46 hemiplegic stroke patients admitted to the Rehabilitation Medicine Department of People's Hospital of Shijiazhuang from February to December 2023 were selected.According to the Berg Balance Scale(BBS)scores,patients were divided into Group A(BBS score≤20,n=23)and Group B(BBS score>20,n=23).The peak torque and differences of bilateral knee flexors and extensors were compared between two groups.Isokinetic technology was used to assess the differences in peak torque of bilateral knee joints at 60°/s and 120°/s.BBS,Functional Ambulation Classification(FAC),and Fugl-Meyer Assessment of Lower Extremity(FMA-LE)were used to evaluate patients'balance,walking ability,and lower limb motor function.The correlation between bilateral knee joint peak torque and its difference with the scores of three functional scales was analyzed.Results The peak torque of knee flexors and extensors at 60°/s in group A was significantly lower than that in group B(P<0.05).At both 60°/s and 120°/s the differences in peak torque between the healthy and affected sides of knee flexors and extensors were greater than those in group B(P<0.05).At 60°/s,the difference in peak torque of bilateral knee extensors in hemiplegic stroke patients was negatively correlated with the scores of BBS,FAC,and FMA-LE(r=-0.569,-0.582,-0.606,P<0.01),as did the knee flexors(r=-0.534,-0.386,-0.458,P<0.05).At 120°/s,similar negative correlations were observed for both knee extensors(r=-0.304,-0.304,-0.443,P<0.05)and flexors(r=-0.337,-0.349,-0.370,P<0.05).Conclusions Bilateral knee joint strength asymmetry in hemiplegic stroke patients is negatively correlated with balance and walking ability.The difference in strength between the two sides of knee joint may be one of the clinical indicators for evaluating the motor function of stroke patients.