Research works

Beyond living donation: robot-assisted kidney transplantation using deceased-donor grafts—a scoping review of selection, ischaemia logistics, and allograft outcomes

Deceased-donor robot-assisted kidney transplantation (DD-RAKT) couples an unscheduled graft pathway with a resource-dependent operation. Living-donor-dominated reviews do not resolve DD-specific selection, ischaemia logistics, outcomes, or patient benefit. We aimed to map DD-RAKT...

Real-time multi-station microseismic event detection via transfer learning of computer vision deep learning model

Summary With the shale gas exploration and development into deep strata (> 3500 m in depth), weak signal detection becomes more challenging and vital in surface-based microseismic monitoring. Most existing deep learning approaches are trained on synthetic or single-station data,...

Restoring the Right Stream: Training-Free OOD Robustness for Vision–Language–Action Policies

Vision–Language–Action (VLA) policies remain brittle under modest distribution shift. On LIBERO-Plus, contemporary models that solve clean tasks at high rates can fall below 30% success when the camera’s viewpoint or the robot’s initial pose is perturbed. Most training-free test-...

Ultra-Local Model-Based Finite-Time Sliding Mode Control Using Neural Network Observer for Quadrotor Position and Attitude

In this paper, an ultra-local model-based finite-time sliding mode control (ULM-FTSMC) method is developed for tracking quadrotor position and attitude in the presence of uncertainties and external disturbances. Based on an ultra-local model technique, the proposed ULM-FTSMC sche...

Cemiplimab in cutaneous squamous cell carcinoma: a longer follow‐up study focusing on the late toxicities

Summary Background and Objectives Cemiplimab was the first systemic therapy approved for advanced cutaneous squamous cell carcinoma (cSCC). Patients and Methods We report findings from the Italian early access program cohort, comprising 134 patients treated with cemiplimab, with...

Self‐Assembled Hybrid Cell‐Enzyme Materials for Gas‐Powered Biocatalysis

ABSTRACT The integration of biological energy conversion into functional materials represents a key challenge in the development of advanced catalytic systems. Here, we introduce self‐assembled cell‐enzyme hybrid materials that integrate cellular metabolism with programmable enzy...

Long-term outcomes of capsular tension ring implantation during phacoemulsification with intraocular lens implantation combined with trabeculectomy in acute angle-closure crisis

To evaluate the 3-year efficacy and safety of capsular tension ring (CTR) implantation during phacoemulsification with intraocular lens implantation (PEI) combined with trabeculectomy (Trab) in patients with acute angle-closure crisis (AACC). Retrospective cohort study. Patients...

Dog Breeds for the Future: Theoretical Assessment of Strategies for Enhancing the Behavioural Reliability of Existing Dog Breeds, or Developing New Ideal Urban Companion Dogs

The original function of many dog breeds no longer fits the requirements of an easy-going companion. Caretakers can also be overdemanding regarding their dogs’ ability to cope with societal expectations. We propose and evaluate four strategies for readjusting the dog–human relati...

Resin does not safeguard insect DNA during early decay despite preservation of soft tissues

Abstract The notion that plant resin acts as an exceptional preservative of insect DNA and soft tissues—functioning as a natural dehydration capsule—has been questioned in recent years, yet empirical support remains limited. We applied an actuotaphonomic approach across a 30-day...

Effect of Doping of Trimetallic Nanospheres on Optical Properties and Field Distribution in P3HT : PCBM Organic Solar Cells

Abstract This study presents a numerical analysis of methods to enhance light absorption in P3HT : PCBM organic solar cells by adding trimetallic Ag : Au : Cu nanoparticles to the active layer. Finite-difference time-domain simulations in Lumerical, under standard illumination co...

Development of adjuvanted HIV vaccines tailored for early life: immunologic rationale, clinical experience, and future directions

Purpose of review This review highlights the rationale for and clinical experience in advancing age-specific adjuvantation systems to develop well tolerated and effective pediatric HIV vaccines. Recent findings Due to both cellular and soluble factors, infant immunity is distinct...

Fatigue Properties and Accumulative Damage Model of Bedded Salt Rock

To investigate the fatigue properties of bedded salt rock and the influences of mudstone interlayer on them, a series of fatigue tests were conducted on bedded salt rock under different cyclic loading conditions. The experimental results showed that the characteristics of stress-...

Genome-Wide SNP Characterisation of Three Kazakh Sheep Breeds: Kazakh Fat-Tailed Coarse-Wool, Degeres, and Etti Merino

Kazakhstan’s sheep portfolio underpins much of the country’s mutton and wool production, yet several of its principal breeds remain genomically uncharacterised. The aim of this study was to characterise the genomic diversity, population structure, and global phylogenetic placemen...

Dealing with norms of participation in transdisciplinary marine governance research: A reflexive-communication perspective to understand methodological challenges in co-creating marine governance strategies

Abstract Transdisciplinary research between academia and stakeholders facilitates open discussions about sustainability and marine governance (research) challenges. However, co-creating knowledge and actionable governance solutions can result in methodological challenges during t...

Dual physical pathways shape subseasonal-to-seasonal predictability of North American summer heat extremes

Abstract Improving the subseasonal-to-seasonal (S2S) prediction of heatwaves is a critical scientific challenge due to their severe societal impacts and the limited predictability at these lead times. Here we show two dominant and physically distinct sources of S2S predictability...

Regional Strategizing in Conditions under Turbulence: Theoretical and Methodological Synthesis vs. Practical Imperatives

Current economic turbulence and international sanctions necessitate technological sovereignty. Under such conditions, traditional regional planning methods that extrapolate past trends become unreliable. Professor Vladimir L. Kvint’s strategizing methodology opens new perspective...

Corporate social responsibility and affective commitment: An investigation on Turkish maritime sector

This study investigates the relationship between Corporate Social Responsibility (CSR) practices and the affective commitment of employees within the Turkish maritime sector. Despite the growing interest in CSR, empirical research addressing its association with employee outcomes...

Multimodal Graph Neural Networks and Evolutionary Knowledge Fusion for Secure and Explainable Governance in Intelligent IoT Interactive Media Systems

This research proposes a secure, explainable, and context-aware governance framework for blockchain-based digital media contracts in multimodal artificial intelligence–enabled AIoT interactive systems. As digital licensing, NFT copyright management, royalty distribution, and cros...

How well can marine mammals filter out noise?

Evaluating the critical bandwidth of pinnipeds can reveal differences in their ability to separate signals from noise.

BPA-STGCN: Body-Part-Aware Spatio-Temporal Graph Convolutional Network for Stable Skeleton-Based Action Recognition

Skeleton-based action recognition via graph convolutional networks (GCNs) has achieved remarkable progress, yet two persistent bottlenecks limit practical deployment: (1) systematic confusion among fine-grained actions that differ primarily in hand or finger movements, which the...