Search Results (351)

Wheelchair-mounted assistive robotic manipulators can provide reach and grasp functions for power wheelchair users. This in-lab study evaluated a vision-guided shared control (VGS) system with twelve users completing two multi-step kitchen tasks: a drinking task and a popcorn making task. Using a mixed methods approach participants compared VGS and manual joystick control, providing performance metrics, qualitative insights, and lessons learned. Data collection included demographic questionnaires, the System Usability Scale (SUS), NASA Task Load Index (NASA-TLX), and exit interviews. No significant SUS differences were found between control modes, but NASA-TLX scores revealed VGS control significantly reduced workload during the drinking task and the popcorn task. VGS control reduced operation time and improved task success but was not universally preferred. Six participants preferred VGS, five preferred manual, and one had no preference. In addition, participants expressed interest in robotic arms for daily tasks and described two main operation challenges: distinguishing wrist orientation from rotation modes and managing depth perception. They also shared perspectives on how a personal robotic arm could complement caregiver support in their home. Full article

Intertrochanteric fractures in the elderly present complex challenges due to poor bone quality and comorbidities. Cephalomedullary (CM) nails offer biomechanical advantages that support early mobilization, yet complications such as cutout, implant failure, and malalignment persist. This review examines the effectiveness of CM nail fixation in geriatric extracapsular hip fractures and introduces the RESCUE technique—a structured, mnemonic-based approach aimed at improving surgical outcomes and reducing common complications. RESCUE stands for Reduce, Entry point, Screw, Compress, Unleash traction, and Enhance full-weight bearing. This six-step framework addresses the critical elements of fixation, including precise reduction, optimal entry point selection, central screw placement, controlled fracture compression, cautious traction management, and early mobilization. Case illustrations of frequent failure patterns underscore the practical application of the RESCUE technique. By following this systematic approach, surgeons can enhance construct stability, minimize failure risk, and promote functional recovery in elderly patients. Full article

This paper evaluates the synergistic effect of polyvinyl alcohol (PVA) fibers and nanosilica (nS) on the mechanical behavior and deformation properties of engineered cementitious composites (ECCs). ECCs have gained a reputation for high ductility, crack control, and strain-hardening behavior. Nevertheless, the next step is to improve their performance even more through nano-modification and fine-tuning of fiber dosage—one of the major research directions. In the experiment, six types of ECC mixtures were made by maintaining constant PVA fiber content (0.5, 1.0, 1.5, and 2.0%), while the nanosilica contents were varied (0, 1, 2, 3, and 5%). Stress–strain tests carried out in the form of compression, together with unrestrained shrinkage measurement, were conducted to test strength, strain capacity, and resistance to deformation, which was highest at 80 MPa, recorded in the concrete with 2% nS and 0.5% PVA. On the other hand, the mixture of 1.5% PVA and 3% nS had the highest strain result of 2750 µm/m, which indicates higher ductility. This is seen to be influenced by refined microstructures, improved fiber dispersion, and better fiber–matrix interfacial bonding through nS. In addition to these mechanical modifications, the use of nanosilica, obtained from industrial byproducts, provided the possibility to partially replace Portland cement, resulting in a decrease in the amount of CO₂ emissions. In addition, the enhanced crack resistance implies higher durability and reduced long-term maintenance. Such results demonstrate that optimized ECC compositions, including nS and PVA, offer high performance in terms of strength and flexibility as well as contribute to the sustainability goals—features that will define future eco-efficient infrastructure. Full article

Sustainable copper extraction presents significant challenges due to waste generation and environmental impacts, requiring advanced predictive methodologies to optimize production processes. This study addresses a gap in applying deep learning to forecast hydrometallurgical copper production by comparing six recurrent neural network architectures: Vanilla LSTM, Stacked LSTM, Bidirectional LSTM, GRU, CNN-LSTM, and Attention LSTM. Using time-series data from a full-scale industrial operation, we implemented a data augmentation approach to overcome data scarcity limitations. The models were evaluated through rigorous metrics and multi-step forecasting tests. The results demonstrated remarkable performance from five architectures, with Bidirectional LSTM and Attention LSTM achieving the highest accuracy (RMSE < 0.004, R² > 0.999, MAPE < 1%). These models successfully captured and reproduced complex cyclical patterns in copper mass production for up to 500 time steps ahead. The findings validate our data augmentation strategy for enabling models to learn complex known cyclical patterns from limited initial data and establish a promising foundation for implementing AI-driven predictive systems that can enhance process control, reduce waste, and advance sustainability in hydrometallurgical operations. However, these performance metrics reflect the models’ ability to reproduce patterns inherent in the augmented dataset derived from a single operational cycle; validation on entirely independent operational data is crucial for assessing true generalization and is a critical next step. Full article

Background/Objectives: Gait abnormalities in advanced knee osteoarthritis (KOA) are characterized by decreased stride length, walking speed, and cadence. Total knee arthroplasty (TKA) is intended to improve temporal–spatial gait parameters; however, the extent and timing of functional recovery remain under investigation. To assess changes in stride length, walking speed, and cadence following TKA in short- and long-term perspectives, and to compare outcomes with a non-operated KOA cohort. Methods: A prospective observational study was conducted involving 46 patients with unilateral KOA (grades III–IV, Kellgren–Lawrence scale) who underwent cemented TKA via a medial parapatellar approach. Group I (n = 34) was assessed one day prior to surgery and six weeks postoperatively. Group II (n = 12), a follow-up subset, was reassessed 1.5 years postoperatively. Group III (n = 34) served as a non-operated control group, assessed only preoperatively. Temporal–spatial gait parameters were evaluated under standardized conditions using a two-dimensional video analysis (Kinovea^® software version 0.8.27). Stride length (m) and walking speed (m/s) were assessed during continuous walking along a 15 m corridor, with at least three valid gait cycles averaged per trial. Cadence (steps/min) was determined during a one-minute walk and verified frame-by-frame. No structured outpatient physiotherapy was provided; all patients followed a standardized in-hospital rehabilitation protocol. Results: In Group I, the mean stride length increased from 0.40 ± 0.10 m to 0.42 ± 0.10 m (p = 0.247), walking speed improved from 0.41 ± 0.027 m/s to 0.47 ± 0.022 m/s (p = 0.063), and cadence increased significantly from 72.9 ± 7.8 to 77.1 ± 8.6 steps/min (p = 0.044). In Group II, the mean stride length rose from 0.39 ± 0.10 m to 0.52 ± 0.09 m (p < 0.001), walking speed improved from 0.44 ± 0.02 m/s to 0.69 ± 0.01 m/s (p < 0.001), and cadence increased from 73.7 ± 8.8 to 103.6 ± 7.4 steps/min (p < 0.001). Compared to the control group (Group III: stride length 0.42 ± 0.09 m; walking speed 0.41 ± 0.02 m/s; cadence 73.9 ± 7.9 steps/min), Group II demonstrated superior values across all parameters (p < 0.001 for each comparison). No significant correlations were observed between BMI and gait outcomes. Conclusions: Total knee arthroplasty resulted in progressive improvement in temporal–spatial gait parameters. While early postoperative gains were limited, substantial functional restoration was observed at long-term follow-up, emphasizing the importance of extended recovery monitoring in post-TKA evaluation. Full article

A small-scale supersonic flight experiment vehicle is being developed at Muroran Institute of Technology as a flying testbed for verification of innovative technologies for high-speed atmospheric flights, which are essential to next-generation aerospace transportation systems. Its baseline configuration M2011 with a cranked-arrow main wing with an inboard and outboard leading edge sweepback angle of 66 and 61 degrees and horizontal and vertical tails has been proposed. Its aerodynamics caused by attitude motion are required to be clarified for six-degree-of-freedom flight capability prediction and autonomous guidance and control. This study concentrates on characterization of such aerodynamics caused by rolling rates in the subsonic regime. A mechanism for rolling a wind-tunnel test model at various rolling rates and arbitrary pitch angle is designed and fabricated using a programmable stepping motor and an equatorial mount. A series of subsonic wind-tunnel tests and preliminary CFD analysis are carried out. The resultant static derivatives have sufficiently small scatter and agree quite well with the static wind-tunnel tests in the case of a small pitch angle, whereas the static directional stability deteriorates in the case of large pitch angles and large nose lengths. In addition, the resultant dynamic derivatives agree well with the CFD analysis and the conventional theory in the case of zero pitch angle, whereas the roll damping deteriorates in the case of large pitch angles and proverse yaw takes place in the case of a large nose length. Full article

Introduction: Walking is perceived as the most important bodily function for persons with multiple sclerosis (pwMS) and is impaired in more than 70% of pwMS. In addition, the effect of multiple sclerosis (MS) on gait pattern increases in fast walking and during fatiguing exercises, altering the spatiotemporal gait parameters and walking reserve. Objectives: The objective of this study is to investigate the impact of a 12 min intermittent-walking protocol on spatiotemporal gait parameters and on the fatigability of pwMS, as well as the association with perceived exertion and reported symptoms of fatigue. Methods: Twenty-six persons with relapse-remitting MS and twenty-eight healthy controls (HCs) were included in this cross-sectional study. The Modified Fatigue Impact Scale and the Symbol Digit Modality Test were used to evaluate fatigue symptoms and cognitive function, respectively. Participants walked six times during an uninterrupted 2-min period. Before, during the rest periods and after the last 2 min walk, the rate of perceived exertion (RPE) was measured using the Borg Scale, and the spatiotemporal gait parameters were assessed with GaitRite. The cut-off value of 10% deceleration of the distance walked index classified pwMS into two groups: MS Fatigable (MS-F) and MS Non-Fatigable (MS-NF). One-way and two-way Analyses of variance (ANOVAs) were used to verify the effect of time and groups, respectively. Results: PwMS walked slower, travelled shorter distances, and presented shorter step lengths compared to HCs. No effects of the intermittent-walking protocol were found for all pwMS, but the MS-F group had deteriorated walking speed, step length, and cadence. Walking dysfunction was associated with perceived fatigability, reported symptoms of fatigue, cognitive function, and disability. Reported symptoms of fatigue was associated with perceived exertion but not with performance fatigability. Conclusions: Changes in gait parameters were weak to moderately associated with performance fatigability and the perception of effort and disability but not with reported fatigue symptoms, highlighting distinct constructs. The walking speed reserve and step length reserve also emerged as potential early markers of performance decline. Full article

The efficient oral delivery of therapeutic proteins and peptides poses a tremendous challenge due to their inherent instability, large molecular size, and susceptibility to enzymatic degradation. Several nanocarrier systems, such as liposomes, solid lipid nanoparticles, and polymeric nanoparticles, have been explored to overcome these problems. Liposomes and other lipid-based nanocarriers show excellent biocompatibility and the ability to encapsulate hydrophobic and hydrophilic drugs; however, they often suffer from poor structural stability, premature leakage of the loaded drugs, and poor encapsulation efficiency for macromolecular peptides and proteins. On the other hand, polymeric nanoparticles are more stable and allow better control over drug release; nevertheless, they usually lack the necessary biocompatibility and cellular uptake efficiency. Recently, lipid-polymer hybrid nanoparticles (LPHNs) have emerged as an advanced solution combining the structural stability of polymers and the biocompatibility and surface functionalities of lipids to enhance the controlled release, stability, and bioavailability of protein and peptide drugs. In this review, an attempt was made to set a clear definition of the LPHNs and extend the concept and area, so to our knowledge, this is the first review that highlights six categories of the LPHNs based on their anatomy. Moreover, this review offers a detailed analysis of LPHN preparation methods, including conventional and nonconventional one-step and two-step processes, nanoprecipitation, microfluidic mixing, and emulsification methods. Moreover, the material attributes and critical process parameters affecting the output of the preparation methods were illustrated with supporting examples to enable researchers to select the suitable preparation method, excipients, and parameters to be manipulated to get the LPHNs with the predetermined quality. The number of reviews focusing on the formulation of peptide/protein pharmaceutics usually focus on a specific drug like insulin. To our knowledge, this is the first review that generally discusses LPHN-based delivery of biopharmaceuticals. by discussing representative examples of previous reports comparing them to a variety of nanocarrier systems to show the potentiality of the LPHNs to deliver peptides and proteins. Moreover, some ideas and suggestions were proposed by the authors to tackle some of the shortcomings highlighted in these studies. By presenting this comprehensive overview of LPHN preparation strategies and critically analyzing literature studies on this topic and pointing out their strong and weak points, this review has shown the gaps and enlightened avenues for future research. Full article

Background: Stability deficit is one of the most common and disabling signs of multiple sclerosis; therefore, balance training is essential for most patients. Intrinsic foot muscles are a key element in stability, but their influence in multiple sclerosis patients has not been assessed. Objective: The aim of the study was to assess the efficacy of intrinsic foot muscle training on stability in patients with multiple sclerosis. Methodology: A randomized single-blind clinical trial was conducted using a sample of multiple sclerosis patients divided into a control group (CG) and an intervention group (IG). Subjects in the intervention group completed an eight-week intrinsic foot muscles training programme. Static and dynamic stability were measured using the Activities-specific Balance Confidence questionnaire (AsBC), the Four Square Step Test (FSST), the Frailty and Injuries: Cooperative Studies of Intervention Techniques (FICSIT), and the Six Spot Step Test (SSST). Pre- and post-intervention outcomes and differences between groups were calculated. Results: The amount of change comparing pre- and post-intervention results was −0.94 (CG) and 5.59 (IG) in the AsBC questionnaire (p 0.17); −1.0 (CG) and −1.5 (IG) in the FSST (p 0.72); 0.0 for both groups in FICSIT (p 0.629); and −1.5 (CG) and −2.0 (IG) in SSST (p 0.692). Conclusions: Intrinsic foot muscle training produces positive changes in dynamic stability and self-perceived confidence in multiple sclerosis patients. Full article

(1) Background: Litter size traits are critical for pig breeding efficiency but pose challenges due to low heritability and sex-limited influences. This study aimed to elucidate the genetic architecture and identify candidate genes for these traits in Large White pigs using genomic selection (GS) and genome-wide association analyses (GWAS). (2) Methods: This study utilized phenotypic data from nine litter size traits in Large White sows. Genotyping-by-sequencing (GBS) was performed to obtain genotype data, retaining 153,782 high-quality SNPs after quality control. Genetic evaluation was conducted using single-step genomic best linear unbiased prediction (ssGBLUP), with genetic parameters (heritability and genetic correlations) estimated via an animal model (repeatability model). To assess prediction accuracy, 10-fold cross-validation was employed to compare traditional BLUP with ssGBLUP. Furthermore, a single-step genome-wide association study (ssGWAS) integrated genomic information and pedigree-based relationship matrices to screen for significant SNPs associated with litter size traits across the genome. Functional analysis of key candidate genes was subsequently conducted based on ssGWAS results. (3) Results: Heritabilities for litter traits ranged from 0.01 to 0.06. ssGBLUP improved genomic prediction accuracy by 6.38–13.33% over BLUP. Six genomic windows explaining 1.07–1.77% of genetic variance were identified via ssGWAS, highlighting GPR12 on SSC11 as a key candidate gene linked to oocyte development. (4) Conclusions: This study demonstrates the efficacy of ssGBLUP for low-heritability traits and identifies GPR12 as a pivotal gene for litter size. Prioritizing NHB and LBWT in breeding programs could enhance genetic gains while mitigating adverse effects on piglet health. These findings advance genomic strategies for improving reproductive efficiency in swine. Full article

In vitro maturation (IVM) of oocytes retrieved from ovum pick-up (OPU) or ovarian tissue (OT) is a standard approach for patients with specific conditions where prior hormonal stimulation is contraindicated. However, the developmental competence of oocytes matured in vitro is still inferior to that of oocytes matured in vivo. Capacitation IVM (CAPA-IVM) includes an extra step of pre-maturation culture (PMC) with c-type natriuretic peptide (CNP) as a meiotic arrestor to better synchronize cytoplasmic and nuclear maturity in oocytes by allowing the cytoplasm additional time to acquire essential components critical for optimal competency. This study aims to evaluate the effect of CAPA-IVM on equine oocyte quality and developmental competence. Immature cumulus–oocyte complexes (COCs) were retrieved from slaughterhouse ovaries and matured in vitro either in CAPA-IVM (short 6 h, long 24 h pre-maturation) or standard IVM. Mature oocytes from each group were analyzed for calcium-releasing potential (n = 52) and single-oocyte proteomics (n = 44), and embryo development (n = 229) was assessed after fertilization with piezo-drilled intracytoplasmic sperm injection (ICSI). Genetic analysis of developed blastocysts (n = 41) was performed to detect chromosomal aberrations. Our findings demonstrate that CAPA-IVM of equine COCs yields significantly higher maturation rates than controls. Moreover, short CAPA-IVM with six hours pre-maturation culture showed substantially higher embryo development potential than the control group (20/69 vs. 9/63, respectively). Genetic analysis revealed a high euploidy rate in equine blastocysts regardless of the maturation conditions. Live calcium imaging of the fertilized oocytes demonstrated that the majority of oocytes displayed non-continuous calcium oscillation patterns, irrespective of maturation conditions. Single-oocyte proteomics reveals a comparable proteomic landscape between mature oocytes subjected to short CAPA-IVM and standard IVM. However, we identified four enriched gene sets with positive enrichment scores after short CAPA-IVM, related to cytoskeleton regulation, ribosomal function, and cytosolic components. Our findings indicate that CAPA-IVM holds the potential to improve oocyte quality and competence in horses. However, further fine-tuning of culture conditions would benefit the effective use of these IVM systems. Moreover, given that the mare serves as an excellent model for human reproduction, the molecular trends identified in this study could provide valuable insights for advancing human artificial reproductive technologies. Full article

Surface defect detection on steel strips is a critical step in quality control for industrial products. While existing research has made some progress in optimizing annotation strategies and improving efficiency, issues such as feature aliasing during the annotation process, the insufficient utilization of boundary information, and the inaccurate representation of complex defect patterns remain inadequately addressed. To tackle these challenges, this paper proposes an annotation optimization framework from the perspective of feature analysis. The framework decomposes defect features into geometric features and grayscale distribution features and, based on feature decoupling theory, classifies defects into three typical patterns: block, linear, and textured defects. For each pattern, the minimum annotation units that preserved essential features were designed, enabling the standardized representation of complex defects and precise boundary localization. Experiments on the NEU-DET dataset showed that this annotation framework improves the average mAP of six mainstream detection models by 4.9 percentage points, validating its effectiveness in enhancing the detection performance. Additionally, this paper introduces an Efficiency–Cost Ratio (ECR) evaluation metric to quantify the relationship between the annotation cost and performance improvement. The study found that block and linear defect detection achieved optimal performance with only 50% annotation effort. This research not only improved the performance of defect detection models but also quantified the annotation resource utilization efficiency, providing robust theoretical support and practical guidance for efficient defect detection in complex industrial scenarios. Full article

Parkinson’s disease (PD) causes attentional deficits and worse dual-task (DT) performance, which increases the risk of being run over. In addition to motor deficits, the decision-making ability and the response to external stimuli are impaired. The aim of this study was to evaluate the spatiotemporal parameters of gait during everyday tasks of individuals with PD, specifically during street crossing simulation, obstacle circumvention, and motor DT. People with PD (PG) and matched controls (CG) were distributed into two groups and were evaluated under six different gait and randomized conditions: without a concomitant task (NW); with obstacle circumvention (OC); and four other conditions under simulation of street crossing (without concomitant task (SC); with obstacle circumvention (SC_OC); carrying bags (SC_B); and carrying bags concomitant to obstacle circumvention (SC_OC+B)). The CG group had greater values for all parameters compared to PG, except for double support time. This study’s results found that individuals with PD took smaller, narrower, slower, and shorter steps when compared to neurologically healthy older people and that there was a change in the spatiotemporal gait parameters of all individuals, except for the step-duration parameter under the most difficult crossing conditions. Full article

Background/Objectives: Long-term effects of post-COVID-19 on several health outcomes remain unclear. We assessed PA and sedentary behaviour changes and explored behaviour-change factors twelve months post-COVID-19 in people with and without Long COVID. Methods: A prospective cohort study followed people treated for COVID-19 in different settings (home, hospital ward, intensive care unit) from twelve months to eighteen months post-COVID-19. Participants with and without Long COVID were identified. PA (Light PA-LPA, Moderate-to-Vigorous PA-MVPA, Steps·day⁻¹), sedentary time, functional capacity (six-minute walk test-6MWT), muscle strength (quadriceps maximal voluntary contraction-QMVC), dyspnoea (modified Medical Research Council scale-mMRC), fatigue, symptoms of anxiety and depression, and health-related quality of life-HRQoL were assessed. Results: Among 148 participants (58 ± 15 years, 54% male), 101 had Long COVID. All remained physically inactive. People with Long COVID significantly increased LPA (LPA_LongCOVID +28 [1; 55] min·day⁻¹; LPA_Controls +6 [−32; 45] min·day⁻¹), and decreased MVPA (MVPA_LongCOVID −4 [−7; −2] min·day⁻¹; MVPA_Controls −4 [−8; 1] min·day⁻¹) and sedentarism (Sedentarism_LongCOVID −47 [−89; −4] min·day⁻¹; Sedentarism_Controls −30 [−88; 28] min·day⁻¹). At eighteen months, higher proportions of individuals with Long COVID had impaired 6MWT (17% vs. 0%), reduced QMVC (25% vs. 6%), dyspnoea (24% vs. 0%), fatigue (67% vs. 13%), symptoms of anxiety (47% vs. 9%) and depression (26% vs. 0%) as well as poor HRQoL (50% vs. 6%). PA and sedentary behaviour changes at eighteen months were associated with dyspnoea and impaired QMVC at twelve months (LPA: mMRC ≥ 2: −41.56 [−129.30; 46.00] min·day⁻¹, Steps·day⁻¹: mMRC: −416.13 [−1223.83; 391.57]; QMVC ≤ 70% predicted: −1251.39 [−2661.69; 158.91], Sedentarism: mMRC ≥ 2: +47.21 [−90.57; 184.99] min·day⁻¹; 0.24 ≤ R² ≤ 0.32). Conclusions: PA and sedentary behaviour remain altered long after COVID-19, with people with Long COVID adjusting to fit lower PA levels, possibly driven by physical limitations and symptoms. Dyspnoea and muscle weakness may influence PA and sedentary behaviour. Full article

Broken access control vulnerabilities pose significant security risks to the protected web interfaces of IoT devices, enabling adversaries to gain unauthorized access to sensitive configurations and even use them as stepping stones for attacking the intranet. Despite its ranking as the first in the latest OWASP Top 10, there remains a lack of effective methodologies to detect these vulnerabilities systematically. We present ACBreaker, a novel methodology powered by a large language model (LLM), to effectively identify broken access control vulnerabilities in the protected web interfaces of IoT devices. Our methodology consists of three stages. The initial stage transforms firmware code that exceeds the LLM context window into semantically intact code snippets. The second stage involves using an LLM to extract device-specific information from firmware code. The final stage integrates this information into the mutation-based fuzzer to improve fuzzing effectiveness and employ differential analysis to identify vulnerabilities. We evaluated ACBreaker across 11 IoT devices, analyzing 1,274,646 lines of code and discovering 39 previously unknown vulnerabilities. We further analyzed these vulnerabilities, categorizing them into three types that contribute to protected interface evasion, and provided mitigation suggestions. These vulnerabilities were responsibly disclosed to vendors, with CVE IDs assigned to those in six IoT devices. Full article