Search Results (1,563)

Background: Osteoporotic vertebral fractures in the thoracic–lumbar spine are common in older adults and can lead to pain, kyphotic posture, impaired postural control, and altered gait. These changes increase the risk of falls and reduce functional mobility, highlighting the need for effective assessment and intervention strategies. Objectives: To analyze stability and gait in patients who sustained a thoracic–lumbar spinal fracture and underwent minimally invasive surgery. Methods: Seventeen patients participated in this study (women = 11, age 68.36 ± 6.15 years, body weight 68.18 ± 12.8 kg, height 161.45 ± 5.26 cm; men = 6, age 62.67 ± 4.41 years, body weight 78.5 ± 20.36 kg, height 176.67 ± 12.64 cm). All participants had undergone minimally invasive spinal surgery using percutaneous screws reinforced with bone cement 12 months prior. Each patient underwent two assessments: postural stability measurement and biomechanical gait analysis. Statistical analysis was performed using Statistica software (StatSoft, PL), with significance set at p < 0.05. Results: In the stability test, seven participants could not complete the measurement due to falls (FRT = 6.45 ± 2.43), six performed within the normal range (FRT = 2.41 ± 0.9), and four were below the normal range for their age group (FRT = 2.22 ± 1.7). Patients exhibited slower walking speed, shorter stride length, and reduced hip extension during the stance phase (approximately 5° less) due to a forward-leaning posture and cautious gait. Foot placement was flat rather than heel-first, likely as a compensatory strategy to enhance safety. Conclusions: Patients after osteoporotic thoracic–lumbar vertebral fractures treated with minimally invasive surgery demonstrate shorter, wider, and slower steps, along with reduced postural stability, indicating a persistent risk of forward falls. Full article

Vasovagal syncope (VVS) affects 17% of children, significantly impairing quality of life. Machine learning (ML) models achieve high predictive accuracy of VVS in adults using blood pressure (BP) monitoring, but pediatric implementation remains challenging. The aim of the study was to evaluate whether ML models incorporating anthropometric data and heart rate variability (HRV) can predict VVS without BP monitoring in children with prior syncope or suspected VVS. We analyzed 87 participants (7–18 years) with VVS history. HRV indices (time-domain, frequency-domain, and nonlinear) were extracted from 5 min supine and standing ECG recordings using NeuroKit2. Multiple algorithms were tested with 10-fold cross-validation; SHAP analysis identified feature importance. AdaBoost achieved the performance of 71.0% accuracy, 76.3% sensitivity, and 63.3% specificity—78% of adult BP-dependent algorithm sensitivity. Weight, multifractal detrended fluctuation analysis during standing, and normalized low-frequency power were most influential. Alterations in symbolic dynamics and multiscale entropy indicated compromised autonomic complexity. ML models with anthropometric and HRV data show potential as an adjunctive screening tool to identify children at higher risk for syncope recurrence, requiring clinical confirmation. Full article

Background/Objectives: Biologic therapies have transformed the management of inflammatory bowel disease (IBD), but their high cost has prompted the introduction of biosimilars. Although switching from biologic originators to biosimilars is increasingly common, real-world evidence remains limited. We aimed to explore the safety and efficacy of switching between biologic originators and biosimilars. Methods: We conducted a retrospective chart review of patients with IBD between 2015 and 2025. Adult patients receiving adalimumab-adaz or adalimumab-atto were included. Patients who were non-medically switched once from adalimumab originator (Humira^®) to any biosimilar were classified as group A. Patients who also switched back to originator (multiple switches) were classified as group B. The outcomes of the study were safety and efficacy of the biosimilars. Logistic regression identified switching predictors. Results: A total of 237 patients were included in the study. The number of patients in group A and group B was 208 and 58 patients, respectively. Sustained clinical remission was achieved in 198 (95.4%) of group A and 54 (93.6%) of group B participants. Sustained normalization of inflammatory markers was also comparable, occurring in 190 (91.5%) of group A and 54 (92.3%) of group B participants. No treatment-emergent AEs, infections, or treatment discontinuations were reported in either group (0%). Regression analysis identified older age and prior immunomodulator use as significant predictors of switching. Conclusions: Multiple switches of adalimumab biosimilars can be safely undertaken without increasing the risk of adverse reactions or treatment failure. This study provides meaningful evidence to guide policy and physician confidence in biosimilar interchangeability as a sustainable IBD therapeutic strategy. Full article

Generalized censoring, combined with a power-based distribution, improves inferential efficiency by capturing more detailed failure-time information in complex testing scenarios. Conventional censoring schemes may discard substantial failure-time information, leading to inefficiencies in parameter estimation and reliability prediction. To address this limitation, we develop a comprehensive inferential framework for the alpha-power Weibull (APW) distribution under a generalized progressive hybrid Type-II censoring scheme, a flexible design that unifies classical, hybrid, and progressive censoring while guaranteeing test completion within preassigned limits. Both maximum likelihood and Bayesian estimation procedures are derived for the model parameters, reliability function, and hazard rate. Associated uncertainty quantification is provided through asymptotic confidence intervals (normal and log-normal approximations) and Bayesian credible intervals obtained via Markov chain Monte Carlo (MCMC) methods with independent gamma priors. In addition, we propose optimal censoring designs based on trace, determinant, and quantile-variance criteria to maximize inferential efficiency at the design stage. Extensive Monte Carlo simulations, assessed using four precision measures, demonstrate that the Bayesian MCMC estimators consistently outperform their frequentist counterparts in terms of bias, mean squared error, robustness, and interval coverage across a wide range of censoring levels and prior settings. Finally, the proposed methodology is validated using real-life datasets from engineering (electronic devices), clinical (organ transplant), and physical (rare metals) studies, demonstrating the APW model’s superior goodness-of-fit, reliability prediction, and inferential stability. Overall, this study demonstrates that combining generalized censoring with the APW distribution substantially enhances inferential efficiency and predictive performance, offering a robust and versatile tool for complex life-testing experiments across multiple scientific domains. Full article

Background/Objective: Mexico has experienced an increase in the prevalence of overweight and obesity among schoolchildren, predisposing them to type 2 diabetes mellitus. In addition, rapid eating has been increasingly implicated in the dysregulation of appetite control, greater energy intake, and adverse metabolic outcomes in children. Prior evidence indicates that a faster eating pace is associated with excess adiposity and lipid metabolism. This study aimed to compare cardiovascular risk factors (waist circumference, waist-to-height ratio, body mass index (BMI), and lipid profile) among school-aged Mexican children according to self-reported eating speed. Design: Cross-sectional observational study. Setting: Public elementary schools in Mexico. Participants: Ninety school-aged children (52.2% female) aged 6–12 years old. Eating speed was assessed using an adapted and validated self-administered questionnaire. Intervention: No intervention was applied; participants were classified into slow-, normal-, or fast-eating groups according to their usual eating speed as reported in the instrument, which includes questions regarding self-perception and family perception. Main Outcome Measure: The primary outcomes included anthropometric parameters (BMI, waist circumference, and waist-to-height ratio), blood pressure (systolic and diastolic), and biochemical markers of lipid metabolism (triglycerides, total cholesterol, and HDL cholesterol). Analysis: Descriptive statistics were computed, and comparisons across eating speed groups were performed using one-way ANOVA for continuous variables and chi-square tests for categorical data. Statistical significance was set at p < 0.05. Results: Among the 90 children evaluated, 17.7% were classified as fast eaters. Although gender differences in eating speed were not statistically significant (χ²= 4.607, p = 0.100), a higher proportion of boys were classified as fast eaters. Children in the fast-eating group exhibited significantly higher BMI (1.4 kg/m²), waist circumference (4 cm greater), and modest elevations in triglyceride and total cholesterol levels, alongside lower HDL cholesterol, relative to their slow-eating peers (all p < 0.05). Among all variables, only diastolic blood pressure differed significantly across groups (F = 3.92, p = 0.022), with fast eaters showing the highest values. Nevertheless BMI, waist circumference, triglyceride levels, and total cholesterol were not statistically significant in the logistic regression, and HDL cholesterol demonstrated an association close to 95% [0.051 (0.011–0.226)] to a protective factor against cardiometabolic events, estimating an effect size of 1.64 using Cohen’s d, which is considered a large effect, when compared to their slower-eating peers. Conclusions and Implications: Faster eating speed was consistently associated with unfavorable anthropometric and lipid profile indicators, aligning with previous evidence linking rapid eating to early cardiometabolic alterations. These findings emphasize the relevance of including eating behavior assessments in pediatric cardiovascular risk screenings and prevention strategies. Full article

This study determined the effects of gestational obesity on the short- and long-term metabolic statuses of post-partum mothers and whether obesity management during pregnancy could attenuate these effects. At 120 days prior to estrus, eight ewes received 100% of the National Research Council (NRC) nutrient requirements (control group), and twenty-four ewes had free access to feed (obesity induction). Embryos from superovulated ewes with normal body condition were transferred to the uteri of control-fed or obese ewes on day 6 post-estrus to generate genetically similar singleton pregnancies. Thirty-five days after embryo transfer, eight obese ewes were subject to restricted feeding (65% of feed intake for the 100% NRC-fed control group) until parturition, and the remaining sixteen obese ewes (eight ewes/group) continued to have free access to feed throughout gestation. Following parturition, all but one group of obese ewes (that continued to have free access to feed) were fed 100% of NRC nutrient requirements. At post-partum days (PPD) 1 and 150, glucose tolerance tests were conducted with ewes. At both PPD1 and PPD150, obesity resulted in insulin resistance, impairment of whole-body glucose utilization, increased levels of circulating leptin, and altered profiles of amino acids in plasma, and these effects were attenuated in ewes receiving obesity management during or after gestation. At PPD150, obesity increased circulating levels of ammonia and urea in ewes, which were prevented by realimentation to 100% NRC requirements. These results indicate that weight reduction in obese ewes during pregnancy or after parturition can ameliorate the adverse metabolic effects of gestational obesity in ewes. Full article

The Shahezi Formation is the main source rock formation in the deep part of the Xujiaweizi Fault Depression. In this study, firstly, based on measured pressure data and logging data, analyzed with methods such as fluid inclusion testing and basin numerical simulation, the pressure evolution history of the Shahezi Formation was systematically reconstructed. Secondly, hydrocarbon generation simulation experiments were carried out under pressures of 45, 70, and 100 MPa to reveal the influence of pressure on the hydrocarbon generation and expulsion process of organic matter. The results showed that the evolution of the pore pressure could be divided into four stages. Prior to the end of the early Cretaceous (~104 Ma), the Xujiaweizi Fault Depression was in a normal-pressure state. In the early Late Cretaceous (104–78 Ma), overpressure was generated in the source rocks due to undercompaction and hydrocarbon generation, which was a stage of rapid pressure increase. In the Late Cretaceous (78–65 Ma), a large amount of gas was generated in the source rocks, and the pressure reached the highest value. From the early Paleogene to the present (65–0 Ma), it has been a stage of slow pressure decrease. The strata have experienced slow uplift, and the pressure has gradually decreased. The effect of high pressure can promote the conversion of heavy hydrocarbon gases in the C1–C5 components to methane, but the promoting effect is limited. In contrast, high pressure has a certain effect on the preservation of liquid hydrocarbon components, and this preservation effect may be caused by the conversion of unstable saturated hydrocarbons to aromatic hydrocarbons. Full article

This study presents a predictive maintenance framework for hybrid electric vehicles (HEVs) based on emissions behaviour under laboratory-simulated driving conditions. Vehicle speed, road gradient, and ambient temperature were selected as the principal input variables affecting emission levels. Using simulated datasets, three machine learning model, specifically Linear Regression, Multilayer Perceptron (MLP), as well as Random Forest, were trained and evaluated. Within that set, the Random Forest model demonstrated the best performance, achieving an R² score of 0.79, Mean Absolute Error (MAE) of 12.57 g/km, and root mean square error (RMSE) of 15.4 g/km, significantly outperforming both Linear Regression and MLP. A MATLAB-based graphical interface was developed to allow real-time classification of emission severity using defined thresholds (Normal ≤ 150 g/km, Warning ≤ 220 g/km, Critical > 220 g/km) and to provide automatic maintenance recommendations derived from the predicted emissions. Scenario-based validation confirmed the system’s ability to detect emission anomalies, which might function as early indicators of mechanical degradation when interpreted relative to operating conditions. The proposed framework, developed using laboratory-simulated datasets, provides a practical, interpretable, and accurate solution for emissions-based predictive maintenance. Although the results demonstrate feasibility, the framework should be further confirmed with real-world on-road data prior to large-scale use. Full article

Background: In ectopic adrenocorticotropic hormone (ACTH) syndrome, locating the responsible lesion is often challenging. Case Presentation: A 68-year-old woman was transferred to Nara Medical University hospital for a detailed investigation of her ACTH-dependent Cushing’s syndrome. Because of hypercortisolism-induced immunosuppression, she subsequently developed severe Nocardia pneumonia and was forced to temporarily depend on noninvasive positive pressure ventilation (NIPPV). Intravenous antifungal agents and antibiotics were administered, resulting in significant symptomatic improvement. Metyrapone was administered to suppress excessive cortisol. Contrast-enhanced magnetic resonance imaging of the pituitary revealed a 4 mm sized poorly enhanced area, and microadenoma was suspected. Although cavernous venous sampling was indispensable prior to trans-spheroidal surgery (TSS), this examination could not be performed because of the presence of deep vein thrombosis. TSS was performed for both diagnostic and therapeutic purposes, but hypercortisolism did not improve. Moreover, immunohistochemical findings of the specimen revealed nonfunctional pituitary tumor. Methods: We re-evaluated the responsible lesion causing ACTH-dependent Cushing’s syndrome. Fluorine-18 fluorodeoxyglucose (FDG) positron emission tomography (PET) revealed weak and abnormal FDG uptake in the right pericardium, but the possibility of nonspecific uptake could not be ruled out. However, gallium-68 1,4,7,10-tetraazacyclododecane-N,N′,N′′,N′′′-tetraacetic-acid-D-Phe¹-Tyr³-octreotide (⁶⁸Ga-DOTATOC)-PET demonstrated the same degree of abnormal uptake; therefore, a functional pulmonary tumor was strongly suspected. Results: Video-Assisted Thoracic Surgery (VATS) was performed, and histopathological findings of the specimen revealed a neuroendocrine tumor with positive ACTH staining. After VATS, ACTH and cortisol levels were normalized. Conclusions: Here, we report a case of ACTH-dependent Cushing’s syndrome caused by a lung neuroendocrine tumor, in which ⁶⁸Ga-DOTATOC PET was helpful in detecting the functional tumors. Full article

Optical Wireless Communication (OWC) technologies are emerging as promising complements to radio-frequency systems, offering high bandwidth, spatial confinement, and license-free operation. Within this domain, Visible Light Communication (VLC) and Optical Camera Communication (OCC) represent two distinct paradigms with divergent performance and security profiles. While VLC leverages LED-photodiode links for high-speed data transfer, OCC exploits ubiquitous image sensors to decode modulated light patterns, enabling flexible but lower-rate communication. Despite their potential, both remain vulnerable to various attacks, including eavesdropping, jamming, spoofing, and privacy breaches. This work applies—and extends—the Risk Matrix (RM) methodology to systematically evaluate the security of VLC and OCC across reconnaissance, denial, and exploitation phases. Unlike prior literature, which treats VLC and OCC separately and under incompatible threat definitions, we introduce a unified, domain-specific risk framework that maps empirical channel behavior and attack feasibility into a common set of impact and likelihood indices. A normalized risk rank (NRR) is proposed to enable a direct, quantitative comparison of heterogeneous attacks and technologies under a shared reference scale. By quantifying risks for representative threats—including war driving, Denial of Service (DoS) attacks, preshared key cracking, and Evil Twin attacks—our analysis shows that neither VLC nor OCC is intrinsically more secure; rather, their vulnerabilities are context-dependent, shaped by physical constraints, receiver architectures, and deployment environments. VLC tends to concentrate confidentiality-driven exposure due to optical leakage paths, whereas OCC is more sensitive to availability-related degradation under adversarial load. Overall, the main contribution of this work is the first unified, standards-aligned, and empirically grounded risk-assessment framework capable of comparing VLC and OCC on a common security scale. The findings highlight the need for technology-aware security strategies in future OWC deployments and demonstrate how an adapted RM methodology can identify priority areas for mitigation, design, and resource allocation. Full article

Background/Objectives: Over the past few years, high-dose radioembolization (≥150 Gy) has become widely adopted for the treatment of primary liver cancer, while evidence for its application in hepatic metastases is still limited. The aim of this study was to evaluate the safety and efficacy of high-dose transarterial radioembolization (TARE) in patients with hepatic metastases using resin Yttrium-90 (⁹⁰Y) microspheres. Methods: In this retrospective analysis, patients who were treated with high-dose TARE for hepatic metastases with ⁹⁰Y resin microspheres between May 2019 and April 2025 were included. The primary outcomes were treatment efficacy and toxicity assessed according to the National Cancer Institute Common Terminology Criteria for Adverse Events v5.0. Treatment efficacy was evaluated based on radiological response according to Response Evaluation Criteria in Solid Tumors version 1.1, time to progression and overall survival (OS). Secondary outcomes included ⁹⁰Y PET/CT post-treatment voxel-based local deposition model dosimetry and its relations to response. Results: A total of 15 patients were included, with hepatic metastases originating from colorectal cancer (n = 11, 73.3%), neuroendocrine tumor (n = 3, 20%) and breast cancer (n = 1, 6.7%). Seven patients (47.7%) had undergone one or multiple prior loco(regional) liver treatments and 13 (86.7%) patients had prior systemic therapy. The median mean tumor absorbed dose was 160.7 Gy (IQR 127.6–245.0 Gy), and the median normal liver parenchyma dose was 40.3 Gy (IQR 21.7–52.3 Gy). Disease control was achieved in all patients, with partial response in 10 patients (66.7%) and stable disease in 5 patients (33.3%) after 3 months. The median OS was 26.5 months (95% CI 24.5 months to no estimate). Two patients (13.3%) experienced grade 3 laboratory toxicity. No grade 4 or 5 toxicities were observed. Conclusions: High-dose TARE with ⁹⁰Y resin microspheres resulted in a high disease control rate and demonstrated a favorable safety profile, even in this heavily pretreated cohort. Full article

Background/Objectives: Delayed motherhood is becoming increasingly common, yet limited evidence exists on birth satisfaction and breastfeeding attitudes among women aged ≥35. In this study, the hypothesis was tested whether higher birth satisfaction and stronger social support are associated with more positive breastfeeding attitudes and if previous childbirth experience moderates these relationships. Methods: A cross-sectional online survey was conducted among 148 Polish women up to 12 months postpartum. Participants were recruited via social media and parenting-related online communities; the survey was disseminated across multiple online channels to enhance representativeness and reduce potential sampling bias. Eligibility included age ≥35 at childbirth and informed consent. The sample size was considered adequate based on recommendations for regression models with the number of included predictors. Validated tools were used (MSPSS, IIFAS-Pol, BSS-R PL). Assumptions for Pearson’s correlation coefficients and linear regression (normality, homoscedasticity, absence of multicollinearity) were checked prior to analyses. The analysis was performed using IBM SPSS Statistics 29 (IBM Corp., Armonk, New York, NY, USA). Results: Women aged ≥35 reported high birth satisfaction and generally positive breastfeeding attitudes. Among multiparous women, birth satisfaction was moderately positively associated with breastfeeding attitudes (BSS-R PL; r = 0.396, p < 0.01), and perceived social support showed a small but significant association (MSPSS; r = 0.249, p < 0.05). Hierarchical regression analyses indicated that, in women over 35 with a subsequent child, psychosocial variables significantly predicted breastfeeding attitudes, whereas the control model—including education, socioeconomic status, and delivery mode—was not significant. Adding birth satisfaction and perceived social support improved model fit (R² = 0.194), with birth satisfaction emerging as the only significant predictor (β = 0.31). The corresponding effect size (f² = 0.143) indicated a near-medium effect. In contrast, neither the control nor the extended model was significant among primiparous women, suggesting no meaningful associations in this group. Conclusions: Higher birth satisfaction and perceived social support may promote more favorable breastfeeding attitudes in women becoming mothers at ≥35, with stronger effects among multiparous mothers. These findings highlight the need for individualized prenatal education, enhanced psychosocial support, partner involvement and efforts to improve childbirth experiences. Interventions tailored to women entering motherhood at an advanced maternal age are warranted. Full article

Objectives: This study investigates the effects of resveratrol on systemic inflammatory, oxidative, and metabolic responses in a rat model that combines surgical trauma with prior exposure to Single Prolonged Stress (SPS), an established experimental protocol for modeling post-traumatic stress disorder (PTSD). Methods: Male Wistar rats (n = 21) were randomly assigned to three groups: (I) control (polyvinylpyrrolidone, PVP), (II) SPS + laparotomy + PVP), and (III) SPS + laparotomy + resveratrol. Resveratrol (5 mg/kg of body weight/day) or vehicle was administered intragastrically for seven days. Serum concentrations of cortisol, tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), interleukin-10 (IL-10), glucose, insulin, lipid fractions, and thiobarbituric acid–reactive substances (TBA-RS) were determined by enzyme-linked immunosorbent assay and spectrophotometric methods. Insulin resistance was assessed using the homeostatic model assessment of insulin resistance (HOMA-IR) index. Results: Combined SPS and surgical trauma induced a pronounced systemic inflammatory response characterized by elevated cortisol (+138%), TNF-α (+83%), IL-6 (+465%), and ceruloplasmin (+71%), as well as hyperglycemia, hyperinsulinemia, increased HOMA-IR, and atherogenic dyslipidemia with reduced high-density lipoprotein cholesterol (HDL-CH; −64%), elevated triglycerides (TGs; +216%), and very low-density lipoprotein cholesterol (VLDL-CH; +218%). Marked activation of lipid peroxidation was observed, as indicated by increased TBA-RS levels before and after incubation. Resveratrol administration significantly decreased cortisol (−45%), TNF-α (−47%), and IL-6 (−85%), normalized the IL-10/IL-6 ratio, and reduced ceruloplasmin levels (−13%). The compound improved insulin sensitivity (HOMA-IR −50%), elevated HDL-CH (+115%), and lowered TGs and VLDL-CH (−44%). It also attenuated both basal and inducible lipid peroxidation (TBA-RS −11% and −13%), indicating restoration of antioxidant capacity. Conclusions: Thus, resveratrol effectively counteracts the neuroendocrine, inflammatory, and metabolic disturbances induced by combined PTSD-like stress and surgical trauma. Full article

Ports pose distinctive monitoring challenges due to harsh marine conditions, mixed construction typologies, and heterogeneous ground conditions. These factors complicate the routine use of satellite InSAR, especially when medium-resolution scatterers must be reliably attributed to specific assets for risk and asset management decisions. In current practice, persistent and distributed scatterer (PS/DS) points are often interpreted in map view without an explicit positional uncertainty model or systematic linkage to three-dimensional infrastructure geometry. We present an end-to-end Differential InSAR framework tailored to large ports that fuses medium-resolution Sentinel-1 Level 2 Co-registered Single-Look Complex (L2-CSLC) stacks with high-resolution airborne LiDAR at the post-processing stage. For the Port of Bahía de Algeciras (Spain), we process 123 Sentinel-1A/B images (2020–2022) in ascending and descending geometry using PS/DS time-series analysis with ETAD-like timing corrections and RAiDER tropospheric/ionospheric mitigation. LiDAR is then used to (i) derive look-specific shadow/layover masks and (ii) perform a whitening-transformed nearest-neighbor association that assigns PS/DS points to LiDAR points under an explicit range–azimuth–cross-range (RAC) uncertainty ellipsoid. The RAC standard deviations $({\sigma }_r,{\sigma }_a,{\sigma }_c)$ are derived from the effective CSLC range/azimuth resolution and from empirical height correction statistics, providing a geometry- and data-informed prior on positional uncertainty. Finally, we render dual-geometry red–green composites (ascending to R, descending to G; shared normalization) on the LiDAR point cloud, enabling consistent inspection in plan and elevation. Across asset types, rigid steel/concrete elements (trestles, quay faces, and dolphins) sustain high coherence, small whitened offsets, and stable backscatter in both looks; cylindrical storage tanks are bright but exhibit look-dependent visibility and larger cross-range residuals due to height and curvature; and container yards and vessels show high amplitude dispersion and lower temporal coherence driven by operations. Overall, LiDAR-assisted whitening-based linking reduces effective positional ambiguity and improves structure-specific attribution for most scatterers across the port. The fusion products, geometry-aware linking plus three-dimensional dual-geometry RGB, enhance the interpretability of medium-resolution SAR and provide a transferable, port-oriented basis for integrating deformation evidence into risk and asset management workflows. Full article

Frequent extreme climate events have intensified landslide hazards in mountainous regions, necessitating efficient identification and classification to understand movement mechanisms and mitigate risks. This study develops a novel, non-contact InSAR framework that seamlessly integrates three key steps—Identification, Inversion, and Classification—to address this challenge. By applying this framework to ascending and descending Sentinel-1 data in the complex terrain of the Jishi Mountain region, we first introduce geometric distortion masking and a C-Index deformation consistency check, which enables the reliable identification of 530 active landslides, with 154 detected in both orbits. Second, we employ a local parallel flow model to invert the landslide movement geometry without relying on DEM-derived prior assumptions, successfully retrieving the two-dimensional (sliding and normal direction) deformation fields for all 154 consistent landslides. Finally, by synthesizing these 2D deformation patterns with geomorphological features, we achieve a systematic classification of movement types, categorizing them into retrogressive translational (31), progressive translational (66), rotational (19), composite (24), and earthflows (14). This integrated methodology provides a validated, transferable solution for deciphering landslide mechanisms and assessing risks in remote, complex mountainous areas. Full article