Search Results (153)

The determination of precise and reliable interior (IO) and relative (RO) orientation parameters for thermal infrared (TIR) cameras is critical for their subsequent use in photogrammetric processes. Although 2D calibration boards have become the predominant approach for TIR geometric calibration, these targets are susceptible to projective coupling and often introduce error through manual construction methods, necessitating the development of 3D targets tailored to TIR geometric calibration. Therefore, this paper evaluates TIR geometric calibration results obtained from 2D board and 3D field calibration approaches, documenting the construction, observation, and calculation of IO and RO parameters. This includes a comparative analysis of values derived from three popular commercial software packages commonly used for geometric calibration: MathWorks’ MATLAB, Agisoft Metashape, and Photometrix’s Australis. Furthermore, to assess the validity of derived parameters, two InfraRed Thermography 3D-Data Fusion (IRT-3DDF) methods are developed to model historic building façades and medieval frescoes. The results demonstrate the success of the proposed 3D field calibration targets for the calculation of both IO and RO parameters tailored to photogrammetric data fusion. Additionally, a novel combined TIR-RGB bundle block adjustment approach demonstrates the success of applying ‘out-of-the-box’ deep-learning neural networks for multi-modal image matching and thermal modelling. Considerations for the development of TIR geometric calibration approaches and the evolution of proposed IRT-3DDF methods are provided for future work. Full article

Land degradation neutrality is crucial for sustainable mining, necessitating a comprehensive assessment of mining and land restoration performance. Current assessments of mining development and land degradation neutrality are isolated. Therefore, this study formulated a comprehensive framework for economic development and land governance, integrating a Dynamic Network Directional Distance Function (DDF) model with structural equation modeling (SEM), using China’s mining development and land restoration governance as a case study, to evaluate the efficiency and its determinants of mining and land restoration systems. The findings are as follows: there are significant regional differences in mining efficiency; the overall land restoration efficiency is higher than mining efficiency; the development of the two stages is unbalanced, and there is no obvious linear correlation between efficiencies; policy and economic factors negatively impact both mining and land restoration efficiency; technological innovation strongly boosts mining efficiency but has a weaker effect on land restoration efficiency; and climate factors slightly hinder land restoration and mildly enhance mining. Therefore, comprehensively analyzing the mining-land restoration system and considering exogenous factors to internalize externalities are crucial for promoting ecological protection, achieving the LDN target in mining areas, and realizing harmonious human-nature development in China. Full article

An enhanced process for shaping thermoset fiber-reinforced composites using Modified Double-Diaphragm Forming (mDDF) in Prepreg Compression Molding (PCM) is proposed to address limitations in conventional forming quality. To minimize surface defects, prepregs were pre-cut to reduce wrinkle formation and trimmed after preforming. Complex geometries were managed through draping analysis, which enabled identification and mitigation of wrinkle-prone regions. A challenging layup configuration (±45/0/90/0/90/0/±45) was selected, and temperature-dependent behavior of the prepreg—such as resin fluidity and wrinkle characteristics—was evaluated from room temperature to 80 °C. Material characterization included tensile, bias extension, bending, friction, and density tests. Forming simulations using AniForm Suite 3.0 incorporated fitted material parameters for predictive analysis. Experimental validation confirmed that the mDDF process significantly improved fiber alignment and eliminated wrinkle defects, especially in 16 previously identified critical zones. The final parts exhibited superior surface quality and dimensional accuracy compared to conventional PCM, highlighting the potential of mDDF for precision manufacturing of complex thermoset composite structures. Full article

Background/Objectives: The SU2C-SARC032 randomized controlled trial (RCT) tested pembrolizumab combined with preoperative normofractionated radiotherapy as an intensified treatment for high-risk stage III resectable soft tissue sarcoma (STS), demonstrating a moderate improvement in disease-free survival (DFS) compared to preoperative radiotherapy alone, but accompanied by significantly increased toxicity, prolonged treatment durations, elevated resource source, and limited real-world applicability. To address the gap between highly controlled trial outcomes and routine clinical practice, this comparative analysis evaluated a streamlined ultra-hypofractionated preoperative radiotherapy (uhpRT) protocol using real-world data (RWD) as a potentially more balanced approach. Methods: Prospectively collected observational RWD from 54 consecutive patients with Stage III (T2 N0 M0) high-risk resectable STS treated at a single institution with uhpRT (25 Gy in 5 fractions in one week, no systemic therapy, median interval of 14 days to surgery) were analyzed. Survival endpoints (overall survival [OS], DFS, local disease-free survival [LDFS], distant disease-free survival [DDFS]), toxicity, and treatment duration were compared qualitatively with published outcomes from the SU2C-SARC032 trial’s intensified pembrolizumab arm and control arm. Results: At 2 years, the optimized uhpRT protocol achieved OS (90%), DFS (66%), and DDFS (70%) comparable to the intensified pembrolizumab arm (OS: 88%, DFS: 67%, DDFS (67%)) and clearly exceeded outcomes of the control arm (OS/DFS/DDFS: 85%/52%/52%). Importantly, the uhpRT protocol markedly reduced treatment-related toxicities (0% Grade 3/4 events vs. 56% in the intensified trial arm) and total treatment duration (<1 month vs. 3–11 months). Conclusions: These findings challenge the necessity of broad treatment intensification for high-risk localized STS, strongly supporting the concept of therapeutic optimization. Given substantial real-world variability in treatment practices and feasibility highlighted by recent research, our findings advocate for treatment strategies that prioritize realistic applicability, patient safety, and value-based care principles over pure intensification. Full article

Background: Neoadjuvant chemotherapy (NACT) is effective in downstaging locally advanced breast cancer, improving surgical and oncological outcomes. However, luminal B breast cancer typically exhibits a poorer response to NACT, with only 10–15% of patients achieving a pathologic complete response (pCR). This study investigates whether BRCA pathogenic variants (BRCA PVs) influence pCR rates in luminal B breast cancer patients, aiming to identify potential predictors for personalized treatment strategies. Materials and Methods: This retrospective study included luminal B breast cancer patients who underwent NACT at the Fondazione Policlinico Universitario Agostino Gemelli IRCCS between January 2014 and June 2023. Patients were stratified according to BRCA status: BRCA PVs and BRCA wild-type (WT). Primary endpoint was to evaluate pCR rates, while secondary endpoints included locoregional disease-free survival (LR-DFS), distant disease-free survival (DDFS), and overall survival (OS). Results: In total, 495 patients were enrolled, of whom 442 (89.3%) carried BRCA WT and 53 (10.7%) BRCA PVs. The pCR rate was significantly higher in the BRCA PVs group (20.8% PVs vs. 10.9% WT; p = 0.044). Specifically, the breast pCR rate was 28.3% in BRCA PVs versus 15.4% in BRCA WT (p = 0.030). BRCA WT patients had better 5-year LR-DFS (91.1% WT vs. 79.5% PVs; p = 0.003), while no significant differences were observed in 5-year DDFS or OS. Conclusions: BRCA PVs are associated with a higher pCR rate in luminal B breast cancer patients receiving NACT, suggesting a potential predictive role in tailoring treatment strategies. Full article

This study proposes a three-level meta-frontier framework enhanced with machine learning-driven projection methods to address the dual heterogeneity in carbon emission efficiency analysis arising from regional disparities and industrial diversification. Methodologically, we introduce two novel projection combinations—“exogenous-exogenous-accumulation (E-E-A) and exogenous-exogenous-consistent (E-E-C)”—to resolve the inconsistency of technology gap ratios (TGRs > 1) in traditional nonradial directional distance function (DDF) models. Reinforcement learning (RL) optimizes dynamic direction vectors, whereas graph neural networks (GNNs) encode spatial interdependencies to constrain the TGR within [0, 1]. Empirical analysis of 60 countries reveals that (1) E-E-C eliminates the TGR overestimation by 12–18% in energy-intensive sectors (e.g., reducing Asia’s secondary industry $TG{R}_1$ from 1.160 to 1.000); (2) industrial heterogeneity dominates inefficiency in Asia (IHI = 0.207), whereas management gaps drive global secondary sector inefficiency (MI = 0.678); and (3) policy simulations advocate for decentralized renewables in Africa, fiscal incentives for Asian coal retrofits, and expanded EU carbon border taxes. Computational enhancements via Apache Spark achieve a 58% runtime reduction. The framework advances environmental efficiency analysis by integrating machine learning with meta-frontier theory, offering both methodological rigor (via regularization and GNN constraints) and actionable decarbonization pathways. Limitations include static heterogeneity assumptions and data granularity gaps, prompting the future integration of IoT-enabled dynamic models. Full article

Background: The anti-tumor response of the immune system is pivotal for treating triple-negative breast cancer (TNBC), particularly as targeted therapies are limited. However, the impact of immune-modulating factors such as the application of granulocyte-stimulating factors (G-CSFs) or infections, including febrile neutropenia, prophylactic or therapeutical application of oral antibiotics (OABs), and the need for intravenous antibiotics (IABs), on survival outcomes remains unclear. Methods: 1583 patients with early-stage TNBC enrolled in the SUCCESS A or C study underwent primary surgery, adjuvant chemotherapy, and radiotherapy if indicated. All patients had Eastern Cooperative Oncology Group (ECOG) status ≤ 2. The effects of G-CSF, OAB, and IAB application on overall survival (OS), invasive disease-free survival (iDFS), breast cancer-specific survival (BCSS), and distant disease-free survival (DDFS) were assessed. Results: Only IAB treatment was significantly associated with decreased survival in univariable analyses (OS: p = 0.003; iDFS: p = 0.036; BCSS: p = 0.011; DDFS: p = 0.044), while G-CSF and OAB administration were not. Adjusted multivariable Cox regressions including febrile neutropenia and dose reduction/shift, ECOG, age of patients, and other clinicopathological parameters confirmed a significant negative effect of IABs on OS (p = 0.020), BCSS (p = 0.018), and DDFS (p = 0.044). Conclusions: In summary, IABs during adjuvant chemotherapy seems to be a risk factor for inferior OS, BCSS, and DDFS in TNBC patients, possibly by affecting microbiome-related immune response modulation. Hence, preventive measures to avoid the need for IABs should be considered in these patients. Full article

A common challenge in direct digital frequency synthesizers (DDFSs) is obtaining high memory compression while maintaining good output signal purity. To address this challenge, in this paper, we present a 16-bit, quadrature direct digital frequency synthesizer (DDFS) that utilizes the second-order Taylor series polynomial interpolation in the phase-to-amplitude conversion. In this approach, the sinusoidal signal is divided into multiple segments, and for each segment, related values are stored into a look-up table (LUT). The amplitude values for each segment are calculated using the stored LUT values and the second-order Taylor series polynomial interpolation. A Python-based model was created to optimize the number of segments, and the resulting design was coded using register-transfer level VHDL. The design is synthesized and implemented on an AMD Artix 7 FPGA, and the implementation results are presented. We show that the proposed design is capable of reaching a very high memory compression ratio of 5178:1. Additionally, the design generates both sine and cosine with high spectral purity utilizing a low number of FPGA resources compared to previous work. With 107 logic slices and 3 DSP slices, the design reaches a spurious-free dynamic range (SFDR) of −102.9 dBc. Full article

In the dual-carbon context, forestry green total factor productivity (FGTFP) serves as a key indicator of the quality and efficiency of forestry development. Based on New Economic Geography Theory, this study explores FGTFP and its spatial divergence under the constraint of carbon emissions. We analyzed panel data from 30 Chinese provinces between 2004 and 2022. The Directional Distance Function (DDF) model was applied to measure FGTFP, and the Global Malmquist–Luenberger (GML) model was applied to measure FGTFP’s decomposition index. The Dagum Gini coefficient was employed to analyze the degree of spatial divergence of FGTFP and identify its sources. Using Porter’s model and Sustainable Development Theory, the geo-detector was applied to examine the driving factors of FGTFP and its decomposition index. The study’s findings indicate that (1) FGTFP in China generally trended upward from 2004 to 2022, with significant heterogeneity observed at both interprovincial and regional levels; (2) Technological Improvement (TI) was the primary driver of FGTFP growth in the eastern, northeastern and central regions, while Efficiency Change (EC) was the key driver in the western region; (3) FGTFP exhibited distinct spatial divergence patterns in China, with hypervariable density as the primary source, followed by interregional differentiation, and regional differentiation contributing the least; and (4) green energy transition factors consistently showed a significant “two-factor enhancement effect” and a “non-linear enhancement trend”, while external environmental factors exhibited strong interaction effects but demonstrated a “non-linear weakening trend”. Therefore, it is essential to promote the green transformation of production modes, facilitate structural adjustments and upgrades in the forestry industry, enhance regional collaboration, and advance the “dual enhancement” of technological progress and efficiency. Additionally, leveraging regional comparative advantages will promote coordinated development. Full article

As a direction selection in the direction distance function (DDF), endogenous DDF can accurately reflect the numerical characteristics of inputs/outputs, but it is difficult to effectively popularize. And it is also difficult to effectively combine with reality. To solve those problems, this paper introduces slack variables to construct a new endogenous direction-setting mechanism, which makes the endogenous model have the conditions to be popularized. Based on the original endogenous DDF, we consider environmental concern, economic concern, coordinated development, and priority development, and then construct six new extended DDF models with slack variables. Based on priority development, we further propose six new extended DDF models. These new extended models can not only realize the complete internalization of direction determination but also overcome the limitations of traditional endogenous models. Combined with the actual case, the emission reduction potential of different areas is revealed, and the improved path is proposed. The results show that the new extended DDF models effectively reflect the different development modes of carbon emissions, and different development modes have a significant impact on emission reduction potential. In addition, compared with economic concern and priority development, coordinated development and environmental concern are most beneficial to carbon emission reduction, but the development mode of environmental concern can better reveal the improved path of environmental development. Full article

Double diaphragm forming (DDF) represents an efficient manufacturing technique leveraging vacuum pressure and heat to form composite material stacks between flexible diaphragms. This study focuses on the critical role of thermal management during preforming, essential for material integrity, defect mitigation, and process efficiency. A comprehensive three-dimensional finite element model (FEM) is developed to investigate the heat transfer dynamics in DDF, incorporating temperature-dependent material properties such as specific heat and thermal conductivity under compaction and varying density conditions. A novel approach is introduced to predict thermal contact conductance (TCC) across multilayer carbon fabric interfaces, validated using four laminate configurations. The resulting effective thermal conductivity of the laminates is applied in production-scale simulations, enabling accurate predictions of temperature distributions, which are corroborated by experimental data. The findings highlight the significant impact of mesoscale interactions, such as yarn-level deformation and surface asperities, on TCC variation. The study provides an enhanced understanding of heat transfer mechanisms in DDF, offering insights to optimise process parameters, improve product quality, and advance manufacturing capabilities for complex geometries. Full article

Background: Implant-based breast reconstruction (IBBR) following conservative mastectomy is the most common approach for women undergoing breast cancer surgery. The aim of this study was to compare the oncological outcomes of conservative mastectomy combined with prepectoral IBBR to the subpectoral technique. Methods: The clinical and demographic data of consecutive breast cancer patients who underwent conservative mastectomy with either prepectoral or subpectoral IBBR between January 2018 and December 2023 were retrospectively analyzed. The primary outcome was the impact of conservative mastectomy with prepectoral IBBR on local recurrence-free survival (LRFS). Secondary outcomes included distant disease-free survival (DDFS) and overall survival (OS). Results: A total of 842 women (with a median age of 46 years and a range of 20–79 years) were included in the study. Of these, 648 patients (77.0%) underwent prepectoral IBBR, while 194 (23.0%) received subpectoral IBBR. The median follow-up was 32 months (3–74). Locoregional relapse occurred in 19 patients (2.9%) in the prepectoral group and 14 (7.2%) in the subpectoral group. Distant metastases were observed in 21 (3.2%) patients in the prepectoral group and 11 (5.7%) in the subpectoral group. Deaths were reported in eight patients (1.2%) in the prepectoral group and five (2.6%) in the subpectoral group. There were no statistically significant differences between the two groups in terms of the LRFS, DDFS, and OS (p = 0.676; p = 0.994; p = 0.940, respectively). Conclusions: Our study indicates that conservative mastectomy combined with prepectoral IBBR produces similar results to those of the subpectoral approach, with no significant differences in LRFS, DDFS, and OS. Full article

Improving the green efficiency of urban land use (GEULU) is essential for optimizing resource utilization while minimizing waste and pollution, making it a critical factor influencing the sustainability of urban development. However, the spatiotemporal heterogeneity of the impact of China’s New-Style Urbanization (NU) policy on the GEULU, particularly at the urban agglomeration scale, remains understudied. This study employed a super SBM-DDF-GML model and spatial data analysis to examine the characteristics and spatiotemporal dynamics of the GEULU and its interactions with varying implementations of NU at the regional, urban agglomeration, and city levels. The results show that China’s GEULU followed a “U-shaped” tendency from 2006 to 2020. Cities in western China exhibit higher levels of green efficiency but slower growth, compared with lower absolute levels and faster development rates amongst the eastern cities. The GEULU displays a significant positive spatial autocorrelation, with “high-high clusters” shifting from west to east and “low-low clusters” moving in the opposite direction. The impact of NU on the GEULU is divergent: positive in eastern and central regions but negative in the western areas. Economic urbanization, urban population growth, and the clustering of research and education facilitate green efficiency, while urban sprawl significantly hinders its improvement. Social urbanization and digitalization exert adverse effects on green efficiency across many cities. Ecological and environmental protections promote the GEULU in southwestern cities but obstruct it in northeastern cities. The negative effect of NU on the green efficiency has diminished over time, while its positive effects have grown stronger. These findings provide insightful information for urban planners and politicians in crafting region-contextualized adaptive strategies to enhance sustainable urbanization and efficient land use in China. Full article

Agricultural digitization is crucial for enhancing agricultural productivity and efficiency and promoting green low-carbon development. Based on the provincial panel data of China from 2012 to 2021, this study employs the entropy value method and the GML index based on SBM-DDF to quantify agricultural digitization and agricultural green total factor productivity. It utilizes two-way fixed effects, group regression, and threshold effect models to examine the influence of agricultural digitization in agriculture on the green and carbon-reduction progression of farming practices, as well as to clarify the underlying mechanisms behind these effects. The study finds that agricultural digitalization significantly promotes agricultural green low-carbon development. Green innovation and scale operation mediate the impact path of agricultural digitalization, and there is a threshold effect of digital financial inclusion. Moreover, agricultural digitization has a significant impact on the eastern region and a smaller impact on the central and western areas, and the effect is better in regions with high levels of innovation. The results of the study provide a scientific basis for the synergizing of agricultural digitization and agricultural development that is green and low-carbon, as well as for the construction of relevant subjects for interest cooperation and sharing mechanisms. Full article

Background: The supply chain refers to the full process of creating and providing a good or service, starting with the raw materials and ending with the final customer. It requires cooperation and coordination between many parties, including the suppliers, manufacturers, distributors, retailers, and customers. Methods: In the medicinal supply chain (MSC), the critical nature of these processes becomes more complicated. It requires strict regulation, quality control, and traceability to ensure patient safety and compliance with regulatory standards. This study is conducted to suggest a smooth channel to deal with the challenges and adaptability of the MSC. Different MSC challenges are considered as criteria which deal with various adaptation plans. Multi-criteria decision-making (MCDM) methodologies are taken as optimization tools and probabilistic linguistic term sets (PLTSs) are considered for express uncertainty. Results: The subscript degree function (SDF) and deviation degree function (DDF) are introduced to evaluate the crisp value of the PLTSs. An MSC model is constructed to optimize the sustainable medicinal supply chain and overcome various barriers to MSC problems. Conclusions: Additionally, sensitivity analysis and comparative analysis were conducted to check the robustness and flexibility of the system. Finally, the conclusion section determines the optimal weighted criteria for the MSC problem and identifies the best possible solutions for MSC using PLTS-based MCDM methodologies. Full article