Advancing Open Science

Background and Objectives: Crohn’s Disease (CD) is a chronic inflammatory condition often treated with anti-TNF agents such as infliximab (IFX) and adalimumab (ADA). This study compares the efficacy, immunogenicity, and pharmacokinetics of IFX and ADA over a 54-week period. Materials and Methods: A prospective, multicentre cohort study was conducted involving 72 patients with active CD (Crohn’s disease activity index, CDAI > 150), who received treatment with either IFX (n = 42) or ADA (n = 30). Results: By week 54, treatment discontinuation occurred in 31% of IFX-treated patients (13/42) and 37% of ADA-treated patients (11/30), with no significant difference between groups (p = 0.612). Among those who completed the study, clinical remission (CDAI ≤ 150) was achieved in 65% of the IFX group and 95% of the ADA group (OR = 8.10; 95% CI = 1.10–20.11; p = 0.049). Loss of clinical response was more frequent in the IFX group (31%) than in the ADA group (10%), with an OR of 0.25 (95% CI: 0.06–0.97; p = 0.045). Fibrinogen levels declined in both groups, with a greater reduction observed in ADA-treated patients. The area under the ROC curve (AUC) for fibrinogen in distinguishing remission from active disease was 0.608 for IFX and 0.711 for ADA. Anti-drug antibodies were detected more frequently in IFX-treated patients (16.7%, 7/42) compared to those receiving ADA (6.7%, 2/30). Conclusions: Treatment with ADA demonstrated superior efficacy compared to IFX in maintaining clinical remission in CD, which was paralleled by a more effective normalization of fibrinogen levels (Clinical trial: GET-CRO-2010-01).

This study investigates the integration of forestry into strategic planning across territorial levels in the context of the bioeconomy, using the Czech Republic as a case study of an EU member state. This is examined through a qualitative content analysis of regional and territorial local plans, to identify which topics are associated with forestry (n = 67). Using the example of a private forest owner, the specific implementation is then shown. To gather feedback on the assessed strategic documents, we compared economic results for state, municipal, and private forest owners. The research assumption is that the lower the territorial local level, the greater the importance local governments attach to forestry. The main featured topics are the water regime, sustainable forestry, biodiversity support, climate change, maintenance infrastructure, social functions, and economic competitiveness. The results show that the assumption that the lower the territorial planning level, the more forestry is featured in strategies was not confirmed. The relationship is rather the opposite. The presented economic results clearly demonstrate that financial contributions to forest management are a logical consequence of policies. These results correlated with those of the content analysis. The multi-level approach and use of economic data provide valuable empirical depth, and the main finding challenges common assumptions about policy emphasis at lower governance levels.

Wastewater-derived microplastics (WW–MPs) are increasingly recognised as reactive vectors for aromatic organic contaminants (AOCs), yet their role in contaminant fate remains insufficiently constrained. This review synthesises current knowledge on the transformation of microplastics in wastewater treatment plants, including fragmentation, oxidative ageing, additive leaching, and biofilm formation, and links these processes to changes in sorption capacity toward phenols, PAHs and their derivatives, and organochlorine pesticides (OCPs). We summarise the dominant adsorption mechanisms—hydrophobic partitioning, π–π interactions, hydrogen bonding, and electrostatic and, in some cases, halogen bonding—and critically evaluate how wastewater-relevant parameters (pH, ionic strength, dissolved organic matter, temperature, and biofilms) can modulate these interactions. Evidence in the literature consistently shows that ageing and biofouling enhance WW–MP affinity for many AOCs, reinforcing their function as mobile carriers. However, major gaps persist, including limited data on real wastewater-aged MPs, lack of methodological standardisation, and incomplete representation of ageing, competitive sorption, and non-equilibrium diffusion in existing isotherm and kinetic models. We propose key descriptors that should be incorporated into future sorption and fate frameworks and discuss how WW–MP–AOC interactions may influence ecological exposure, bioavailability, and risk assessment. This critical analysis supports more realistic predictions of AOC behaviour in wastewater environments.

Thin-walled cellular structures of continuous fiber-reinforced thermoplastic composites (CFRTPCs) have received much attention from both academics and industry due to their superior properties. Additive manufacturing provides an efficient solution for fabricating these thin-walled cellular structures of CFRTPCs. However, the process often requires cutting fiber filaments at jumping points during printing. Furthermore, the filament may twist, fold, and break due to sharp turns in the printing path. These issues adversely affect the mechanical properties of the additive manufactured part. In this paper, a Euler graph-based path planning method for additive manufacturing of CFRTPCs is proposed to avoid jumping and sharp turns. Euler graphs are constructed from non-Eulerian graphs using the method of doubled edges. An optimized Hierholzer’s algorithm with pseudo-intersections is proposed to generate printing paths that satisfy the continuity, non-crossing, and avoid most of the sharp turns. The average turning angle was reduced by up to $20.88\%$ and the number of turning angles less than or equal to $120°$ increased by up to $26.67\%$ using optimized Hierholzer’s algorithm. In addition, the generated paths were verified by house-made robot-assisted additive manufacturing equipment.

This study presents an assessment scheme for haptic interaction systems based on Hamiltonian energy prediction, which contributes to procedures applied to neurorehabilitation. It focuses on robotic systems involving human participation in the control loop, where uncertainty may compromise both stability and task performance. To address this, a regression-based model is proposed to predict total mechanical energy using the robot’s position and velocity signals during active interaction. Synthetic data generated via TimeGAN are used to enhance model generalization. Advanced machine learning techniques—particularly Gradient Boosting—demonstrate outstanding accuracy, achieving an MSE of and . These results validate the use of synthetic data and passive-mode-trained models for assessing motor performance in active settings. The method is applied to a patient diagnosed with Guillain-Barré Syndrome, using the Hamiltonian function to estimate energy during interaction and objectively assess motor performance changes. The results obtained show that our proposal is of great relevance since it solves a current field of opportunity in the area.

The tensile strength of stabilized clayey soil is a key indicator of its resistance to cracking and directly governs its performance when used as subgrade fill. In this study, ordinary Portland cement and polyacrylate-based super-absorbent polymers (SAP) were combined to stabilize four typical high-water content clayey soils sourced from Northern Bavaria. The optimal SAP content was determined based on absorption capacity by the tea-bag method. Subsequently, the effects of cement content and curing period on the Brazilian tensile strength (BTS) of clayey soils were investigated, and the correlation between Brazilian tensile strength and unconfined compressive strength (UCS) was discussed. The results indicated the following: the optimal SAP content was 0.3%; the BTS increased significantly with higher cement content and a longer curing period; the failure modes of BTS specimens were revealed, including multiple non-through fracture, non-central fracture, and central fracture; a strong linear correlation was established between BTS and UCS, with the proportional coefficient ranging from 0.129 to 0.233. The findings of this study can provide a valuable reference for the design and application of cement-SAP stabilized soils in practical engineering.

Citation: Li, L [...]

Fiber lasers operating at 1.7 μm have significant application value in fields such as gas detection and material processing due to their characteristics, including compact structure and ease of thermal management. Based on the stimulated Raman scattering (SRS) of gas molecules in hollow-core fibers (HCFs), fiber gas Raman lasers (FGRLs) are a novel and effective method for generating 1.7 μm fiber lasers. We report here, to the best of our knowledge, the first FGRL based on the anti-resonant hollow-core fiber (AR-HCF) filled with sulfur hexafluoride (SF₆) molecules. A nanosecond pulsed fiber amplifier tunable from 1540 to 1560 nm was used to pump a 17.8-m-long AR-HCF filled with SF₆ molecules. By virtue of the vibrational SRS of SF₆ molecules, laser output in the range of 1748–1774 nm was achieved. At a gas pressure of 15 bar, a maximum average power output of ~3 W was obtained, corresponding to an optical-to-optical conversion efficiency of ~22%. The output linewidth of the Raman laser was measured to be approximately 2.1 GHz using a Fabry–Pérot (F-P) scanning interferometer. The research results enriched the methods for 1.7 μm fiber laser output.