Heterogeneity of Non-HLA Antibody Prevalence in Kidney Antibody-mediated Rejection With the Commercial Luminex Assays
is available online at doi.org/10.1097/TP.0000000000005363. Supplemental digital content (SDC) is available for this article. Direct URL citations appear in the printed text, and links to the digital files are provided in the HTML text of this article on the journal’s Web site (www.transplantjournal.com). Correspondence: Idoia Gimferrer, MD, PhD, Bloodworks Northwest, Immunogenetics/ HLA Laboratory, Seattle, WA 98104. (igimferrer@bloodworksnw.org). Copyright © 2025 Wolters Kluwer Health, Inc. All rights reserved. ISSN: 0041-1337/20/1098-e409 DOI: 10.1097/TP.0000000000005363 Original Clinical Science—General Copyright © 2025 Wolters Kluwer Health, Inc. Unauthorized reproduction of this article is prohibited. e410 Transplantation ■ August 2025 ■ Volume 10 9 ■ Number 8 www.transplantjournal.com anti-HLA DSAs.1,5 Several studies have attempted to define new non-HLA targets as being associated with AMR and/ or impact allograft survival.1,4,10-19 However, substantial heterogeneity exists between studies, potentially explained by the difficulty of developing validated tests for non-HLA antibodies.5 These uncertainties are triggered by the dif ferences across study design related to the type of assays used (solid-phase or cell-based), lack of adequate charac terization of anti-HLA DSAs across data sets, timing of non-HLA antibody sampling, and absence of clear AMR cases mediated through specific non-HLA antibodies for clinical validation.11,20 Accordingly, the Sen
Download PDF: https://soalana.eu.org/NpO97y
Polymeric Nanohybrids Engineered by Chitosan Nanoparticles and Antimicrobial Peptides as Novel Antimicrobials in Food Biopreservatives: Risk Assessment and Anti-Foodborne Pathogen Escherichia coli O157:H7 Infection by Immune Regulation
: Polymeric nanomaterials (APs) are gaining attention as promising clinical antimicrobials with rapidly increasing antibiotic resistance. Infections by zoonotic enterohemorrhagic Escherichia coli are a severe global threat to public health. Chitosan nanoparticles-microcin J25 (CNM), a class of APs engineered by bioactive peptides and chitosan nanoparticles, can be used as a novel antimicrobial agent against bacterial infections. However, the risk assessment of CNM on animal health or its potential immune modulation to treat serotype E. coli O157:H7 infection impacts in vivo are not well understood. Herein, our findings in mouse models uncovered that oral administration of low levels of CNM significantly increased the body weight and made beneficial effects on the l ifespan or clinical signs, accompanied by a significant improvement in gut health, including enhancing the intestinal barrier, immune modulation, and changes in gut microbiota compositions or metabolites. However, high concentrations of CNM induced serious adverse effects, negatively improving intestinal health targets. Anti-infective results proved that oral 0.1% CNM enhances host defense against E. coli O157:H7 infection by improving immune functions and modulating the Th1/Th2 balance. In summary, these findings uncover an instrumental link between the dosage and toxicity risk, suggesting that APs need to be comprehensively assessed for risk before application as safe and reliable food preservatives or therapeutic
Download PDF: https://jawop.eu.org/9SROYa
Recent advances in bioactive wound dressings
Traditional wound dressings, despite their widespread use, face limitations, such as poor infection control and insufficient healing promotion. To address these challenges, bioactive materials have emerged as a promising solution in wound care. This comprehensive review explores the latest developments in wound healing technologies, starting with an overview of the importance of effective wound management, emphasising the need for advanced bioactive wound dressings. The review further explores various bioactive materials, defining their characteristics. It covers a wide range of natural and synthetic biopolymers used to develop bioactive wound dressings. Next, the paper discusses the incorporation of bioactive agents into wound dressings, including antimicrobial and anti-inflammatory agents, alongside regenerative comp onents like growth factors, platelet-rich plasma, platelet-rich fibrin and stem cells. The review also covers fabrication techniques for bioactive wound dressings, highlighting techniques like electrospinning, which facilitated the production of nanofibre-based dressings with controlled porosity, the sol–gel method for developing bioactive glass-based dressings, and 3D bioprinting for customised, patientspecific dressings. The review concludes by addressing the challenges and future perspectives in bioactive wound dressing development. It includes regulatory considerations, clinical efficacy, patient care protocol integration and wound healing
Download PDF: https://arasmi.eu.org/7Z2t9M
Real-time, mobile-compatible, and low-cost fall detection system with deep learning
Falls are a major public health risk for older adults, yet practical fall-detection systems must be accurate, low-cost, and deployable on resource-constrained devices. We propose an event-triggered hybrid pipeline where an abnormal-acceleration threshold activates a camera module, and a two-stage model (YOLOv5 person localization followed by an eight-layer CNN) verifies falls from the cropped region of interest. Experiments use a public dataset with a predefined Train/Val split (374/111), treating Val as a held-out test set; labels (Fall/Walking/Sitting) are mapped to Fall vs. Non-Fall. To prevent leakage, offline augmentation is applied only to the training data (374 →1092 effective images), while the held-out test set remains unchanged; hyperparameters are selected using an in ternal split of the training partition only. On the held-out test set (72 Fall, 39 Non-Fall), the proposed system achieves 80.2% accuracy, 84.7% sensitivity, and 84.7% F1-score. The deployed INT8 model requires 2.3 MB and runs at 14.8 FPS with 125ms end-to-end capture-to-decision latency on an embedded camera platform, enabling timely mobile alerts. The dataset does not provide demographic metadata; thus, stratified analyses are out of scope.
Download PDF: https://soalc.eu.org/TShETb
Sex-speci fi c outcomes after catheter ablation for persistent AF
BACKGROUND Sex-specific outcomes after catheter ablation (CA) for atrial fibrillation (AF) have reported conflicting findings. OBJECTIVE We examined the impact of female sex on outcomes in patients with persistent AF (PsAF) from the Catheter Ablation for Persistent Atrial Fibrillation: A Multicentre Randomized Trial of Pulmonary Vein Isolation vs PVI with Posterior Left Atrial Wall Isolation (CAPLA) randomized trial. METHODS A total of 338 patients with PsAF were randomized to pulmonary vein isolation (PVI) or PVI with posterior wall isolation (PWI). The primary outcome was arrhythmia recurrence at 12 months. Clinical and electroanatomical characteristics, arrhythmia recurrence, and quality of life were compared between women and men. RESULTS Seventy-nine women (23.4%; PVI 37; PVI 1 PWI 42) and 259 men (76.6%; PVI 131; PVI 1 PWI 128) underwent AF ablation. Women were older {median age 70.4 (interquartile range [IQR] 64.8–74.6) years vs 64.0 (IQR 56.7–69.7) years; P < .001} and had more advanced left atrial electroanatomical remodeling. At 12 months, arrhythmia-free survival was lower in women (44.3% vs 56.8% in men; hazard ratio 1.44; 95% confidence interval 1.02–2.04; log-rank, P 5 .036). PWI did not improve arrhythmia-free survival at 12 months (hazard ratio 1.02; 95% confidence interval 0.74–1.40; log-rank, P 5 .711). The median AF burden was 0% in both groups (women: IQR 0.0%–2.2% vs men: IQR 0.0%–2.8%; P 5 .804). Health care utilization was comparable between women (36.7%) and men (30.1%) (P 5 .241); however, women were more likely to undergo a repeat procedure (17.7% vs 6.9%; P 5 .007). Women reported more severe baseline anxiety (average Hospital Anxiety and Depression Scale [HADS] anxiety score 7.5 6 4.9 vs 6.3 6 4.3 in men; P 5 .035) and AF-relate d symptoms (baseline Atrial Fibrillation Effect on Quality-of-Life Questionnaire [AFEQT] score 46.7 6 20.7 vs 55.9 6 23.0 in men; P 5 .002), with comparable improvements in psychological symptoms (change in HADS anxiety score 23.8 6 4.6 vs 23.0 6 4.5; P 5 .152 (change in HADS depression score 22.9 6 5.0 vs 22.6 6 4.0; P 5 .542) and greater improvement in AFEQT score compared with men at 12 months (change in AFEQT score 145.9 6 23.1 vs 139.2 6 24.8; P 5 .048). CONCLUSION Women undergoing CA for PsAF report more significant symptoms and poorer quality of life at baseline than men. Despite higher arrhythmia recurrence and repeat procedures in women, the AF burden was comparably low, resulting in significant improvements in quality of life and psychological well-being after CA in both sexes.
Download PDF: https://binra.eu.org/vth5IU
FQPWZ9
: Predicting student satisfaction on Metaverse platforms can improve educational effectiveness by analyzing factors like engagement, interaction, and content delivery. The benefits include personalized, immersive learning experiences and real-time feedback. However, the existing schemes suffer from overfitting issues due to highly imbalanced data and fail to generalize to diverse content. To address these limitations, a robust model, Deep High Attention Long Short-Term Memory Forward Harmonic Network (DHA-LSTM-FH Net), is proposed to predict student satisfaction in Virtual Reality (VR) teaching within the Metaverse. The model utilizes data from Metaverse platforms, including virtual spaces, Augmented Reality (AR)/VR devices, learning materials, and student information. Initially, interaction logs from VR sessions and student profiles are collected as input. The data undergoes softmax normalization to ensure consistency. Feature selection is conducted using Recursive Feature Elimination (RFE) and Elastic Net to select the key features. Local Densitybased Synthetic Minority Over-Sampling Technique (LD-SMOTE) is then applied to address data imbalance. Student satisfaction prediction is done by DHA-LSTM-FH Net, which is developed by combining Deep High Attention Neural Network (DHA-Net) and Long ShortDownloaded for personal academic use. All rights reserved. https://papernode.online/ Term Memory (LSTM) using Harmonic Analysis. Experimental results show that the model achieves a precision of 93.765%, a recall of 95.755%, an F1 Score of 94.750%, and a Cohen’s Kappa of 0.838, outperforming baseline methods. However, the model is trained on a specific VR/Metaverse platform, so its performance may drop when applied to different Metaverse setups or content types.
Download PDF: https://tirna.eu.org/fQPWZ9
A secure and efficient identity-based RFID mutual Authentication scheme for IoT using elliptic curve cryptography
Existing ECC-based RFID authentication protocols exhibit vulnerabilities to various attacks. A new ECCbased authentication protocol is proposed to address these issues, ensuring mutual authentication, confidentiality, and resistance to SCA. The proposed protocol minimizes computational time and enhances privacy features without additional calculations. Security and privacy comparisons with existing schemes show the improved protocol’s effectiveness in mitigating threats. The study emphasizes practical implementation and detailed security analysis, highlighting the protocol’s efficiency and security enhancements. Further, it discusses emerging security solutions, including encryption algorithms, secure key exchange protocols, and anomaly detection techniques, t o mitigate potential risks and enhance the overall security posture of IoT and RFID systems. By understanding and addressing these security concerns, organizations and individuals can fully leverage the transformative power of IoT and RFID technologies while safeguarding sensitive data and ensuring the integrity and reliability of interconnected systems. ARTICLE HISTORY Received 1 September 2024 Accepted 4 April 2025 KEYWORDS Internet of things; ECC; RFID; side channel attack; authentication method; AVISPA tool 1. Introduction The Internet of Things (IoT) refers to a connected network of physical objects, devices, and sensors capable of gathering, transmitting, and exchanging data through the Internet. The
Download PDF: https://edgard.eu.org/4S5a7D
Control Strategies for Real-Time Aerial Manipulation with Multi-DOF Arms: A Survey
This survey summarizes key control approaches and architectures that reflect the state-of-the-art in aerial manipulation. The central objective is to provide a thorough resource for researchers exploring multirotor configurations suitable for real-time aerial manipulation applications. The focus is on evaluating and comparing prototype systems and their corresponding controller designs, emphasizing real-time implementation, regardless of the number of DOFs of the attached manipulator(s) and of specific applications. The survey groups control methods in three categories based on the specific architecture that is followed: coupled, partially coupled, and decoupled. The metrics used for the comparative study include system configuration, total weight, modeling approach, control archite cture, robustness, implementation complexity, task execution precision, and achieved results (via simulations or experiments).
Download PDF: https://rasmop.eu.org/PkgwRZ
An exploration of the drivers of employee motivation to facilitate value co-creation
Purpose – This paper aims to explore the drivers of employee motivation to facilitate value co-creation. Specifically, it enhances the understanding of social and contextual elements that contribute towards the co-creation of value. Design/methodology/approach – Embracing an interpretive paradigm, the study draws on 57 in-depth interviews together with participant observation field notes. The data were analysed using thematic analysis. Findings – The findings identify six key drivers that motivate employees to facilitate value co-creation: rewards and recognition, opportunities for life-long learning, interpersonal engagement, role responsibility and accountability, organisational vision and social purpose. Research limitations/implications – This study is undertaken wi thin a traditional organisation setting. Other organisational contexts such as working from home should also be considered. Second, this study focused on the individual relational orientations of employees. Also, there is an opportunity to explore the collective orientation of employees. Originality/value – Drawing on service-dominant logic (S-D logic) as a theoretical lens, this study adopts and adapts Lindenberg and Steg’s (2013) goal-framing theory to conceptualise six drivers of employee motivation to facilitate value co-creation within three-goal frames that leads to in-role and extra-role job performance.
Download PDF: https://tirna.eu.org/PLEks2
Technology Affordances, Social Media Engagement, and Social Media Addiction: An Investigation of TikTok, Instagram Reels, and YouTube Shorts
Currently, time spent online viewing short-form video (SFV) has become an increasingly popular activity. SFV users spend over two hours daily across a variety of SFV platforms. Undergirded by the theory of technological affordances, the present study is the first to investigate the relative strength of three tech affordances—recommendation accuracy, serendipity, and perceived effortlessness offered by three popular SFV platforms: TikTok, Instagram Reels, and YouTube Shorts. A survey of 555 college students was conducted. Each respondent was asked to rate each of the three SFV platforms on an 18-item scale that measured the three tech affordances of interest. Respondents then completed scales that measured social media engagement and social media addiction. As po sited, SFV users rated the TikTok platform as offering more tech affordances than Instagram Reels and YouTube Shorts. Study results also found tech affordances derived from TikTok and Instagram Reels indirectly impact addictive social media use through the mediating variable of social media engagement. Study results show affordances offered by SFVs, as designed, are associated with heightened social media engagement, and ultimately, addiction. Future research should investigate these tech affordances and others and their relationship with heightened social media use, as well as how SFV is used (passively or actively) impacts engagement and its potential outcomes. Keywords: short-form video, TikTok, Instagram Reels, Y
Download PDF: https://jawap.eu.org/XlSHb9
Albumin Nanoparticle‑Based Delivery of Oxaliplatin‑Oleic Acid Prodrug for Enhanced Breast Cancer Therapy
Triple-negative breast cancer (TNBC) remains a therapeutic outlier, with limited targeted options and frequent relapse despite chemotherapy. While platinum therapy can benefit some TNBC cases, including BRCA1/2-mutant tumors, toxicity and limited tumor-selective exposure often restrict its impact. To address these barriers, we applied a lipid-metallodrug prodrug approach and synthesized an oxaliplatin-oleic acid (OXA-OA) conjugate that coupled OXA’s cytotoxicity with OA-associated anticancer activity. The prodrug was encapsulated into genipin-crosslinked albumin nanoparticles (OXA-OA Alb NPs) to improve tumor targeting, yielding a uniform size of 140.52 ± 4.35 nm, a PDI of 0.25 ± 0.05, and an encapsulation efficiency of 84.55 ± 4.49%. Spectrometric analysi s confirmed successful OXA-OA conjugation. The nanoparticles demonstrated enhanced cellular uptake and tumor targeting. In vitro, OXA-OA Alb NPs reduced the IC50 to 0.19 ± 0.36 µg/mL (4T1) and 0.20 ± 0.16 µg/mL (MDA-MB-231). This corresponded to 25 to 30-fold higher cytotoxicity than free OXA and > 50-fold than OA. Furthermore, apoptosis indices reached 1.47 (4T1) and 1.42 (MDA-MB-231), which were 4.19- and 4.50-fold higher than OA and 2.43- and 2.53-fold higher than OXA. In vivo, OXA-OA Alb NPs achieved ~ 90% tumor inhibition in a TNBC mouse model, with minimal systemic toxicity, stable liver and kidney function, and reduced organ damage compared with other treatment groups. These findings suggest that OXA-OA
Download PDF: https://cerikoran.eu.org/UUy1hb
Ratiometric Biomimetic Sensor Based on Quantum Dots − Enhanced Glycosylated Carbon Dots for Visual Detection of Escherichia coli
: We report a fluorescence biomimetic sensor that integrates carbon dots (CDs) and CdTe quantum dots (QDs) for the rapid, antibody-free, and aptamer-free detection of Escherichia coli O157:H7 (E. coli O157:H7) in water samples. This biosensor operates on a ratiometric principle, leveraging green-emitting CDs (GCDs) as a dynamic signal with the red-emitting QDs (RQDs) as a stable reference that significantly enhances the sensor's sensitivity, enabling straightforward visual detection of bacterial contamination. Selectivity was achieved by conjugating mannosea natural biomimetic receptor to GCDs, allowing specific recognition of FimH proteins on E. coli O157:H7. Upon bacterial binding, the green emission at 508 nm intensifies proportionally to bacterial concentra tion, while the red fluorescence at 694 nm remains unchanged. This ratiometric biomimetic sensor detects bacterial concentrations ranging from 101 to 108 CFU/mL within 30 min. The biosensor provides a simple, on-site, naked-eye detection under a portable blue-LED light, with color changes indicating water safety status: green for high bacterial loads, yellow/ orange for moderate contamination, and red for safe water. It was successfully applied to tap water, bottled mineral water, surface and groundwater, as well as to samples collected at multiple stages of water treatment plants (12 sources; five replicates). Comprehensive characterization of the nanomaterials was performed using Fourier-transform infrared spectrosc
Download PDF: https://dhsur.eu.org/5Eumnu