Search Results (1,778)

Introduction: Chimeric Antigen Receptor T (CAR-T) cell therapy and autologous stem cell transplantation (ASCT) are both associated with significant physical and psychological challenges during post-transfusion recovery. To date, most assessments of physical recovery rely on subjective measures, which are prone to individual perception and bias. Direct comparative data on objective physical function between these therapies remain lacking. Objective: The study aims to compare physical recovery trajectories following CAR-T cell therapy and ASCT using objective and standardized rehabilitation assessments to identify promising endpoints for future trials. Methods: a total of 331 intraindividual rehabilitation assessments conducted at hospital admission and discharge were retrospectively screened for the Berg Balance Scale (BBS), muscle strength (MS), Timed Up and Go (TUG), 5-Times Sit-to-Stand (5×STS), and 6-minute Walk Test (6MWT). Subjective assessments including self-reported health status and fatigue measured by a Visual Analog Scale were also recorded. Results: Twelve patients met the inclusion criteria and completed all rehabilitation assessments (five CAR-T, seven ASCT). In the ASCT group, 6MWT performance declined significantly from admission to discharge (median change −84 m; range −415 to −31 m; p = 0.016), while CAR-T recipients showed a non-significant numerical improvement (median change +79 m; range −40 to +148 m; p = 0.19). Between-group comparison of 6MWT change favored CAR-T therapy (p = 0.005). For BBS, TUG, 5×STS and MS, no statistically significant within-group changes were observed, although trends suggested better preservation of balance and mobility in the CAR-T group. Conclusions: This pilot study provides preliminary comparative evidence suggesting that patients receiving CAR-T therapy may better preserve functional endurance than those undergoing ASCT, measured by the 6MWT. These findings are consistent with the existing literature highlighting the sensitivity and clinical relevance of the 6MWT in detecting functional changes, supporting its inclusion in standard rehabilitation assessments. Full article

Walking tourism is increasingly supported by a wide range of digital technologies that are crucial for mitigating environmental impacts and promoting sustainable territorial development, yet their adoption remains fragmented and rarely interpreted within a unified infrastructure perspective. While systemic infrastructure perspectives are well-established in smart city and transport literature, existing studies on walking trails still tend to focus on individual tools or user-oriented applications. Drawing upon broader smart mobility concepts, this paper proposes a system-level framework, the SmartTrail Framework (STF), for the classification, functional interpretation and integration assessment of digital technologies in walking trail infrastructures. The framework is conceived as a transferable analytical and operational instrument applicable both to academic literature and to real-world trail systems, supporting infrastructure assessment, planning and digital maturity evaluation. Following an initial bibliometric analysis of a broader Scopus dataset comprising 1697 records, a structured literature review of 253 publications was conducted to operationalise and illustrate the framework through the systematic classification of digital technologies, the mapping of functional requirements, and the assessment of Integration Levels (IL). The STF integrates three analytical dimensions: a technology domain taxonomy (six categories), a functional requirement model (five infrastructure functions) and an IL scheme (IL0–IL3) that characterises the degree of systemic coherence among digital components. The results reveal a critical functional imbalance in current digitalisation: while user-oriented navigation and information services are widely adopted, backend infrastructure functions, particularly safety and operational logistics, remain severely underdeveloped, keeping most trail systems trapped in low-integration configurations. Applied to real-world trail systems, the framework enables the identification of architectural gaps, the prioritisation of integration investments and the definition of development pathways towards intelligent trail ecosystems. The paper aims to contribute to field research by providing a structured interpretative framework for understanding digital technologies as infrastructural components of walking trails. This supports a shift from tool-based thinking to system-based infrastructure design and offers practical implications for planners, managers and policymakers involved in the development of smart, resilient and environmentally sustainable trail infrastructures. Full article

Autophagy is a highly conserved degradation and recycling process in eukaryotic cells that plays a critical role in maintaining cellular homeostasis and responding to external stress. During viral infection, autophagy exhibits a classic “double-edged sword” effect—it can act as a host defense mechanism by directly degrading viral components, but it can also be hijacked by viruses to promote their own replication. Porcine epidemic diarrhea virus (PEDV), an important enteric coronavirus that severely affects the global swine industry, engages in a complex and sophisticated interplay with the host autophagy system. This review systematically dissects the dual regulatory mechanisms of autophagy during PEDV infection and reveals two intertwined functional axes. On one hand, PEDV utilizes multiple viral proteins to cooperatively manipulate the autophagic pathway—inducing mitophagy to suppress innate immune responses, utilizing autophagic membranes to construct replication platforms, and blocking autophagic flux to evade degradation—thereby establishing a multi-level pro-viral network. On the other hand, host cells deploy a unified molecular axis of “ubiquitination–autophagy receptor–lysosome” by mobilizing a broad array of restriction factors to target and degrade viral proteins, forming a coordinated defense system. These two axes converge at the oxidative stress–endoplasmic reticulum stress–autophagy hub, where PEDV NSP1 and NSP2 synergistically inhibit the NRF2 antioxidant system to trigger this cascade, while host factors such as DDX6 and ACE2 finely regulate the process. Based on this mechanistic framework, we discuss the therapeutic implications of targeting autophagy for PEDV intervention, with particular emphasis on the development of selective autophagy modulators as potential antiviral agents. We also identify key knowledge gaps and propose future research directions to translate these mechanistic insights into clinical or field applications. This review synthesizes the peer-reviewed literature published between 2013 and 2026, identified through systematic searches of PubMed, Web of Science, and Scopus databases. Notably, the majority of mechanistic findings discussed are derived from in vitro cell culture models, and their translation to in vivo settings remains a significant challenge. Bridging this gap will require validation in physiologically relevant models, such as porcine intestinal organoids and controlled piglet challenge studies, to assess the efficacy and safety of autophagy-targeting interventions in the context of intestinal homeostasis and mucosal immunity. Full article

During CO₂ flooding, unfavorable mobility ratios and interlayer heterogeneity can induce preferential flow through high-permeability intervals, leaving central low-permeability intervals insufficiently swept and rich in remaining oil. To address the strong coupling among composite chemical-plugging parameters and the high computational cost of CMG-STARS simulations for individual candidate strategies, this study proposes an adaptive heterogeneous ensemble surrogate-assisted differential-evolution method (AHES-DE). The method integrates radial basis function, inverse-distance weighting, and ridge-linear surrogate models, whose predictions are dynamically weighted according to leave-one-out cross-validation errors. Explorer, Exploiter, and Robust roles are used for global search, local exploitation, and prediction-risk control, respectively, with differential-evolution offspring generation embedded in the Exploiter role. A stratified one-injector–four-producer conceptual model with a 21 × 21 × 6 grid was used to establish a numerical evaluation workflow comprising CO₂ injection, preferential-channel development, composite chemical plugging, and subsequent displacement. Mobile chemical concentration, adsorbed preformed particle gel (PPG) mass density, water-phase resistance factor, oil saturation at a common termination time, and net economic value (NEV) were used to evaluate treatment performance. Under an equal budget of 150 high-fidelity CMG-STARS evaluations per method, the reported single-seed final best-so-far NEVs were 2.45405 × 10⁹ CNY for AHES-DE, 2.44888 × 10⁹ CNY for differential evolution (DE), and 2.44698 × 10⁹ CNY for Latin hypercube sampling (LHS). The layer-resolved responses indicate more pronounced chemical transport, retention, and resistance development in the upper and lower preferential intervals, while the oil saturation in the central low-permeability interval decreased further after treatment, indicating that flow redistribution facilitated remaining-oil mobilization. A realistic geological model was further used to assess the engineering consistency of the identified flow-control mechanism. Full article

Understanding intra-urban spatial interaction is essential for context-sensitive urban planning. While classical spatial interaction theories provide strong conceptual foundations, systematically translating these theoretical concepts into quantifiable indicators remains a significant methodological challenge. Furthermore, capturing the complex, non-linear dynamics driving urban mobility requires analytical approaches that balance predictive power with interpretability. To address this gap, this study develops a feasible, theory-informed analytical framework that bridges classical spatial interaction theory with interpretable machine learning to quantify the predictive patterns underlying intra-urban mobility. In a case study of Changchun, China, Ullman’s three core concepts, together with fundamental measures of urban scale, were systematically operationalized as a set of quantitative proxy variables based on multi-source geospatial big data. XGBoost was then used to model grid-level origin-destination flows at multiple spatial resolutions, and the SHapley Additive exPlanations (SHAP) was used to assess the contributions and dependence patterns of the theory-driven indicators. The results demonstrate the framework’s predictive robustness, with the XGBoost model consistently outperforms the traditional parametric benchmark across all evaluated spatial resolutions. The 1000 m resolution provided the best balance between predictive performance and spatial detail, yielding an R² of 0.696, compared with 0.611 for the benchmark. The explanatory analysis indicates that functional complementarity is the most critical predictive dimension overall. It also identifies distinct nonlinear patterns, including negative associations between transfer impedance and predicted mobility flows beyond critical thresholds, positive associations between built-environment scale indicators and predicted flows only above minimum intensity thresholds, and diminishing marginal associations between intervening opportunities and predicted flows. This study provides a scalable and transferable approach for diagnosing spatial interactions in data-rich urban contexts, providing an empirical basis for calibrating future micro-level urban simulations. Full article

Background: Preventing mobility-related loss of independence (LoI) is a critical public health priority. While the drivers of LoI are complex, this study examines how personal, social, and environmental factors influence these outcomes to identify actionable preventive targets. We applied the International Classification of Functioning, Disability, and Health (ICF) framework to examine these pathways across racial and ethnic groups. Methods: Using 2023 National Health and Aging Trends Study (NHATS) data (N = 7106), we conducted path analyses among non-Hispanic (NH) White, NH Black, and Hispanic older adults. We assessed associations between health conditions, body function, physical performance, social participation, and environmental factors. Results: The ICF-based model explained 36.6–38.2% of LoI variance. While physical performance was the strongest direct predictor of independence across all groups, indirect pathways varied. Social participation restrictions are associated with higher LoI score among NH White and Black adults. For Hispanic adults, limited English proficiency functioned as a key environmental variable negatively associated with body function and physical performance. Additionally, shared living arrangements among NH Black participants were negatively associated with physical performance. By gender, only NH White females exhibited associations with better physical and social outcomes. Conclusions: Pathways to LoI are associated with group-specific structural factors. To effectively prevent functional decline, healthcare policies should move beyond generic services toward culturally responsive interventions. Prioritizing targeted lifestyle behaviors—specifically social engagement for NH Black populations and linguistic accessibility for Hispanic adults—may help reduce health inequities and proactively preserve independence. Full article

The rapid transition toward electrified mobility and climate neutrality has prioritized the structural and environmental optimization of battery electric vehicle (BEV) subsystems. While vehicle lightweighting enhances operational efficiency, the production phase of structural enclosures and battery cells frequently introduces severe environmental and economic impacts and supply chain vulnerabilities. This study presents a comprehensive cradle-to-gate environmental life cycle assessment (LCA), life cycle costing (LCC), and semi-quantitative social assessment of alternative battery housing materials and battery cell architectures. To achieve a functionally accurate comparison, alternative materials, including a novel recyclable thermoplastic acrylic sheet molding compound (SMC), commercial thermoset SMCs, aluminum (AlMg₃), and stainless steel, are evaluated using an analytical stiffness- and strength-equivalent methodology across three real-world geometric demonstrators. Simultaneously, lithium iron phosphate (LFP) liquid electrolyte prismatic cells and solid-state polymer pouch cells are assessed. Material-level results indicate that, while aluminum minimizes the structural mass, primary aluminum manufacturing exhibits the highest global warming potential and processing costs. Conversely, Polytec SMC and Elium SMC achieve the lowest environmental impacts alongside competitive total production costs. At the cell level, prismatic LFP architectures display superior environmental performance compared to solid-state pouch cells, which suffer from energy-intensive processing and lower volumetric capacity normalization. Demonstrator-level aggregation reveals that the electrochemical cells heavily dominate the environmental and economic footprint of the complete assembly, with the housing accounting for less than 5% of the total global warming potential (GWP) and 1% of the total costs. The social assessment reveals moderate and comparable performance across all systems, with slight advantages for thermoplastic composite-based configurations in terms of circularity potential and innovation perception. Overall, the study highlights the critical importance of the cell architecture and manufacturing processes in determining battery system sustainability, while demonstrating the relevance of lightweight composite housings in reducing the structural mass with a minimal environmental penalty. Full article

Background/Objectives: Although proximal first metatarsal osteotomy is a common treatment for hallux valgus (HV), its effect on dynamic first tarsometatarsal (TMT) joint mobility remains unclear. Previous assessments have largely relied on static radiographic parameters, which may not capture functional joint kinematics. The aim of this study was to evaluate changes in first TMT joint mobility during the stance phase of gait using a synchronized ultrasound and three-dimensional motion capture system after combined hallux valgus surgery incorporating proximal first metatarsal osteotomy. Methods: We prospectively studied 23 feet of 21 female patients with symptomatic HV undergoing combined hallux valgus surgery incorporating proximal closing-wedge osteotomy. We also evaluated 11 feet of 11 healthy female volunteers as controls. Per clinical indications, additional concomitant procedures were performed for 21 of the 23 feet. Vertical displacement of the first metatarsal and medial cuneiform as well as the first TMT joint gap was measured throughout the stance phase of gait using a synchronized ultrasound and motion capture system. Pre- and postoperative kinematics (>1 year follow-up) were compared with those in the control group using one-dimensional statistical parametric mapping (SPM). Results: Radiographically, the HV and intermetatarsal angles significantly improved, while sagittal plane parameters showed no significant changes. SPM analysis revealed no significant differences in the first TMT joint gap or first metatarsal displacement among groups. Preoperatively, compared with the controls, HV feet exhibited significantly greater plantar displacement of the medial cuneiform during late terminal stance. Postoperatively, this abnormal displacement was significantly decreased, with no significant difference between groups. Conclusions: Combined hallux valgus surgery incorporating proximal first metatarsal osteotomy was associated with reduced dynamic medial column hypermobility, specifically shifting vertical displacement of the medial cuneiform towards patterns observed in healthy controls during the terminal stance phase. These functional improvements occurred despite minimal changes in static sagittal radiographic alignment. The findings highlight the importance of dynamic assessment for evaluation of postoperative medial column biomechanics. Full article

Rapid urban expansion in arid intermediate cities often produces fragmented urban structures that exacerbate inequalities in public transport accessibility and hinder sustainable mobility. However, the relationships between urban fragmentation, transport accessibility, and travel behavior remain insufficiently explored in pre-Saharan cities. This study investigates these interactions through the case of El Bayadh, Algeria, using an integrated methodology combining urban morphological analysis, Geographic Information Systems (GIS), a household survey of 577 households, traffic counts, institutional interviews, and spatial equality assessment based on the Gini coefficient. Public transport accessibility was evaluated using a 300 m walking threshold, complemented by sensitivity analyses at 400 m and 500 m. The results indicate that approximately 65% of the population lives within 300 m of a bus stop, although coverage is strongly concentrated in central districts. A Gini coefficient of 0.41, provided by the El Bayadh Directorate of Transport and computed across 20 urban zones, indicates moderate-to-high spatial inequalities in accessibility that persist despite increasing the service threshold, suggesting that these disparities are more closely associated with urban fragmentation than with the specific walking-distance threshold used to define service coverage. The transport network comprises 11 bus routes, approximately 160 bus stops, and 90 km of routes; however, limited service quality and uneven spatial distribution contribute to a high dependence on private transport, with 45% of trips made by private car, 35% by taxi, and only 20% by bus. These findings are consistent with accessibility inequalities arising from the mismatch between fragmented urban morphology, centralized urban functions, and the configuration of the public transport network. The proposed framework provides transferable insights for planning more equitable and sustainable mobility systems in rapidly urbanizing arid intermediate cities. Full article

Background/Objectives: To evaluate classification of improvement and agreement of walking-ability improvement criteria derived from outcome measures of walking capacity and performance among inpatients with spinal cord injury (SCI). Methods: Retrospective analysis of admission and discharge data from adults with SCI in the single-centre database from years 2020 to 2023: Six-minute Walk Test (6MWT), Ten-metre Walk Test (10MWT), Walking Index for Spinal Cord Injury; selected items of Spinal Cord Independence Measure (SCIM-III), and Functional Independence Measure; Spinal Cord Injury Functional Ambulation Inventory (SCI-FAI) Walking Mobility subscale. Twenty-three criteria for assessing walking-ability improvement including distribution-based change threshold (DBCT) and provisional milestones for in-home or in-the-community walking (derived from stroke population) and/or related independence were evaluated. Proportion of patients who progressed according to each criterion and agreement between criteria were calculated. Results: Data from 281 individuals were analysed (median 2 months since SCI). Improvement in SCIM-III Mobility Categories was achieved in 47%. Estimated DBCT of 6MWT (69 m) was exceeded in 46%, and DBCT of 10MWT at comfortable speed (CS) in 42% of participants. Forty-two percent of participants improved in provisional Walking Ability Categories (WACs) based on 6MWT or 10MWT_CS, 39% on SCIM-III-Stairs criterion, and 36% on the SCI-FAI criterion. Conclusions: The estimated DBCT and the WACs for 6MWT and 10MWT_CS are promising criteria to assess improvement in walking capacity after rehabilitation in patients with SCI; however, they require prospective validation against patient-centred and real-world mobility anchors. SCIM-III Mobility Categories and Stairs are recommended for assessing improvement in walking-related independence, and the SCI-FAI criterion for walking performance in everyday life. Full article

Background/Objectives: Low parathyroid hormone (PTH) levels in maintenance hemodialysis may reflect malnutrition, inflammation, reduced functional reserve, or low bone turnover rather than optimal CKD-MBD control. We evaluated associations of longitudinal PTH burden with nutritional-inflammatory and functional-dependence profiles, hospitalization, and mortality. Methods: This retrospective cohort included 188 adults receiving maintenance hemodialysis. Serial PTH measurements were summarized using time-weighted mean PTH. Associations with nutritional-inflammatory biomarkers, functional-dependence measures, and hospitalization were assessed using regression models. Mortality was primarily evaluated using a joint longitudinal–survival model linking repeated log2-transformed PTH measurements with time to death and adjusting for age, sex, dialysis vintage, and dialysis access. A 6-month landmark analysis was performed as a complementary sensitivity analysis. Results: Median time-weighted mean PTH was 292 pg/mL. Lower longitudinal PTH burden was associated with lower albumin, cholesterol, and transferrin and higher C-reactive protein and ferritin. Higher PTH was associated with lower odds of worse mobility and dependence in dressing, bathing, toileting, and continence after adjustment. Hospitalization was not significantly associated with PTH. During follow-up, 62 patients died. In the joint model, each twofold higher estimated current PTH level was associated with a lower observed mortality hazard (adjusted hazard ratio [HR] 0.58, 95% confidence interval [CI] 0.46–0.73; p < 0.001). The 6-month landmark analysis included 159 patients and 44 subsequent deaths. Each twofold higher PTH level was associated with lower subsequent mortality hazard (HR 0.69, 95% CI 0.51–0.95; p = 0.021), while PTH < 150 pg/mL was associated with higher mortality than PTH 300–600 pg/mL (HR 2.84, 95% CI 1.22–6.63). Conclusions: Low time-weighted PTH was associated with adverse nutritional-inflammatory and functional profiles, and lower estimated current PTH with higher mortality. Findings were consistent in the 6-month landmark analysis, do not establish causality, and support interpreting PTH in the broader clinical context. Full article

Charcot–Marie–Tooth (CMT) disease is the most prevalent inherited peripheral neuropathy, characterized by progressive motor and sensory dysfunction resulting from a wide spectrum of genetic abnormalities. More than 70% of affected individuals develop cavovarus foot deformities, which impair gait mechanics, reduce functional mobility, and frequently necessitate orthotic support. The diagnosis of CMT-related foot deformity requires a comprehensive clinical evaluation, with particular emphasis on identifying muscle imbalance and assessing the function of individual musculotendinous units contributing to the deformity. Conservative management, including customized footwear and orthotic bracing, remains the first-line treatment for flexible and less severe deformities. However, surgical intervention should be considered in patients with progressive deformity, persistent symptoms, or failure of nonoperative treatment. Patients requiring surgical correction commonly present with a combination of cavovarus malalignment, muscle imbalance, soft-tissue contracture, and secondary osseous deformities. Current surgical management favors joint-sparing surgery through a combination of soft-tissue procedures, corrective osteotomies, and tendon transfer whenever feasible. Arthrodesis is generally reserved for rigid deformities that cannot be adequately corrected with joint-sparing surgery for patients with painful degenerative arthritis. When appropriately indicated, surgical reconstruction can substantially improve functional outcomes, reduce dependence on bracing, and enhance overall quality of life. This narrative review summarizes current concepts in the diagnosis and management of CMT-related cavovarus foot deformity, with particular emphasis on individualized deformity assessment and contemporary joint-sparing reconstruction. Full article

Background: This study aims to assess the effectiveness and safety of modified parasternal nerve block (MPSB) in providing perioperative analgesia and improving postoperative recovery in patients undergoing off-pump coronary artery bypass grafting (OPCABG). Methods: Sixty-five patients scheduled for OPCABG were randomly assigned to either the intervention group (MPSB group), which received a preoperative modified parasternal block, or the control group. The primary outcome measured was intraoperative opioid consumption. Secondary outcomes included levels of inflammatory markers, postoperative pain scores (assessed using the Visual Analog Scale, VAS), incidence of postoperative nausea and vomiting (PONV), total plasma ropivacaine concentration, gastrointestinal recovery parameters, mobilization metrics, intensive care unit (ICU) parameters (mechanical ventilation duration, ICU length of stay, requirement for rescue analgesics), length of hospital stay, incidence of postoperative pulmonary complications (PPCs), and chronic pain. Results: Intraoperative sufentanil consumption was significantly reduced in the MPSB group (130.0 [IQR, 110.0–167.5] μg vs. 280.0 [IQR, 192.5–327.5] μg; p < 0.01). Inflammatory markers were consistently lower in the MPSB group. Pharmacokinetic analysis revealed a mean peak plasma ropivacaine concentration of 0.88 μg/mL, with the maximum individual concentration reaching 1.76 μg/mL at 5 min post-administration. The MPSB group demonstrated superior postoperative outcomes, including lower VAS pain scores, earlier return of gastrointestinal function, reduced duration of mechanical ventilation, decreased rescue analgesic requirements in the ICU, shorter hospital stays, and lower incidence of PPCs. Conclusions: Preoperative modified parasternal block significantly reduced perioperative opioid consumption in cardiac surgery patients. This intervention demonstrated benefits in facilitating rapid postoperative recovery. The conventional ropivacaine dosing regimen was a safe and effective analgesic approach, associated with a low risk of local anesthetic systemic toxicity. Full article

Background: The Falls Efficacy Scale-International (FES-I) is an assessment tool designed to measure the level of fear of falling in older adults. This scale was developed to evaluate how much an individual fears falling during various daily activities. The aim of the study was to assess the discriminatory power of FES-I to predict falls within 2 years. The secondary objective was to evaluate the relationship between FES-I and vascular status. Material and Methods: In this prospective study, 130 patients (mean age, 64.7 ± 14.6 years) with chronic kidney disease (CKD) were analyzed. Of these, 90 patients had nondialysis CKD: 15 had stage G3 (G3a, n = 5; G3b, n = 10), 38 had stage G4, and 37 had stage G5. The remaining 40 patients (30.7%) were prevalent patients receiving maintenance hemodialysis. The most frequent cause of CKD was hypertension and diabetes in 57 (43.8%) of patients. The Falls Efficacy Scale-International (FES-I) was used to assess fear of falling. The Charlson Comorbidity Index (CCI) was used to measure comorbidity, and the 10-year cardiovascular risk was assessed using a web-based calculator QRESEARCH Cardiovascular Risk Algorithm, version 3 (QRISK^®3), and hemodynamic parameters were measured using a Mobil-O-Graph monitor. Participants were followed for 2 years to assess the occurrence of falls. Results: During the two-year follow-up, 49 of 130 participants (37.7%) experienced at least one fall. FES-I demonstrated good discrimination for falls (AUC 0.836; bootstrap 95% CI, 0.760–0.903). In multivariable logistic regression adjusted for age, sex, dialysis status, comorbidity, and functional status, FES-I remained independently associated with falls (adjusted OR per 1-point increase, 1.145; 95% CI, 1.060–1.237; p < 0.001). Addition of FES-I to the basic clinical model increased the AUC from 0.826 to 0.874, although the difference was of borderline statistical significance in paired receiver operating characteristics (ROC) comparison (p = 0.053). The data-derived Youden-optimal threshold was 25 points; however, bootstrap analysis indicated threshold variability, and this cut-off should be considered exploratory. Conclusions: Higher FES-I scores were independently associated with falls during two-year follow-up and may provide additional prognostic information beyond selected clinical risk factors. FES-I may represent a candidate screening instrument for fall-risk assessment in CKD; however, the proposed cut-off (25 points) requires prospective external validation. Full article

Grain boundaries affect the mechanical and functional properties of crystalline materials by influencing interfacial energy, mobility, segregation, and the accumulation of damage. Among the grain boundaries in the grain boundary network, coincidence site lattice boundaries form a particular type of special grain boundary that is characterized by a higher degree of lattice-site coincidence. The present study examined the mechanisms involved in the formation of grain boundaries in a laser-powder-bed-fused AlSi10Mg alloy which had been subjected to two-pass twist equal-channel angular pressing (twist-ECAP). The microstructural evolution, deformation texture, and local orientation gradients were investigated using electron backscatter diffraction (EBSD). Moreover, atomistic simulations were carried out in order to assess the effect of geometrically necessary boundary (GNB)-like dislocation walls on the retention of planar faults. The EBSD results indicated that twist-ECAP considerably refined the microstructure and produced a strong fiber texture. Most of the Σ3 grain boundary segments detected were found in areas dominated by the ⟨110⟩||ED component, showing that their appearance is strongly dependent on the texture. Also, the atomistic modelling showed that the presence of a GNB-like wall led to the retention of planar-fault configurations and thus resulted in the highest number of atomic environments related to faults and extended dislocation-line lengths. These results show that the formation of Σ3 grain boundary segments in severely deformed LPBF AlSi10Mg is a coupled process which is mainly controlled by macroscopic texture selection and is locally assisted by deformation-boundary evolution. Full article