Research works

Nitrate-Functionalized Azetidines for Synergistic Combustion in Ammonium Perchlorate-Based Propellant Formulations

Abstract The development of high-performance energetic fuel components with rapid ignition characteristics is crucial for next-generation ammonium perchlorate (AP)-based composite propellants. Herein, we report a series of pyrimidine- and pyrazine-substituted azetidine nitrate es...

Precision targeting and alternative effector cells: Revolutionizing CAR-based therapy for T-cell malignancies.

T-cell malignancies are highly heterogeneous and associated with high relapse rate and poor prognosis. While chimeric antigen receptor-T (CAR-T) cell therapy has achieved remarkable success in relapsed or refractory B-cell malignancies, its application in T-cell malignancies rema...

AI and the PI: Infinite Generation, Finite Understanding

Abstract Generative artificial intelligence (AI) produces code and prose quickly, apparently enabling a principal investigator (PI) in a computational group to do more. Assessing this gain must also account for the laboratory’s role in training scientists who understand, maintain...

Perception management of product photography through digital channel modifications

Product photography conveys information and influences consumer perception, and today, most product photographs are created through the reproduction of digital image data. The digital file—i.e., the product photograph—as a medium for transmitting information based on visual asses...

Explainable artificial intelligence for secure and privacy-preserving 5 G networks

Explainable artificial intelligence (XAI) is increasingly relevant to the security, privacy, and governance of AI-enabled 5 G and emerging 6 G networks. However, existing studies remain fragmented across wireless tasks, data modalities, network planes, and evaluation criteria, ma...

Combat Injury, Limb Loss, Traumatic Brain Injury, and Psychosocial Outcomes Among Military Personnel

Importance Given the burden and rising number of injuries from recent conflict zones such as Ukraine and the Middle East, understanding the long-term health outcomes of those with physical traumatic injuries is critical. Objective To investigate psychosocial outcomes among UK mil...

Scanning and active sampling behaviours emerge from conserved insect neural circuits

Navigating insects often pause and rotate to sample their surroundings, behaviours termed scanning. These and other active sampling behaviours embody navigational uncertainty and are key for spatial learning, yet their neural basis remains unclear and existing models impose scann...

Passive Decentralized Organ Function Takeover Protocol I: Subcutaneous Abdominal Expansion Slots and Multiphase Fluid Solid-State Hardware Compensation Mechanism

This study completely overturns the obsolete paradigm of traditional empirical medicine, which relies heavily on parenchymal cell repair or organ donor transplantation. For the first time, it establishes a universal, materialistic physical foundation for the hardware compensation...

Empirical transition probability modeling of continuous glucose monitoring data

Introduction Continuous glucose monitoring (CGM) produces rich time series data. Standard metrics such as time-in-range summarize glycemia but miss the sequence of changes. We aimed to characterize glucose dynamics using empirical transition probability techniques. Materials and...

Neutrophil-derived oncostatin m contributes to endothelial cell dysfunction during Treponema denticola interaction

Periodontitis (PD) is a common chronic inflammatory condition and a risk factor for cardiovascular diseases (CVD), yet underlying linking mechanisms remain unclear. The cytokine Oncostatin M(OSM) is elevated in both PD and CVD and has emerged as a potential mediator linking oral...

Induction Systemic Therapy Followed by Response-Adapted Consolidative Radiation in Locally Advanced Non-Melanoma Skin Cancer: A Retrospective Case Series

Background: There exists an unmet clinical need to define definitive management strategies for patients with locally advanced non-melanoma skin cancers (NMSC), particularly if not amenable to surgical resection. Methods: We retrospectively reviewed a case series of locally advanc...

From Lab to Industry: Optimization and Industrial Application of Microalgae-Based Formulations for Dyeing and Functionalization of Linen Fabrics

Abstract Microalgae are promising renewable resources for textile dyeing and functionalization, but their industrial transfer remains limited. This work developed and optimized whole microalgal biomass-based formulations for application onto 100% linen fabric using dip–pad–dry pr...

Symmetric State Reconstruction for Open‐Circuit Fault Tolerance in Four‐Level ANPC Dual‐Active‐Bridge Converters

ABSTRACT The four‐level active neutral‐point‐clamped dual‐active‐bridge (4L‐ANPC‐DAB) converter features galvanic isolation, high power density, strong adaptability to medium‐ and high‐voltage applications, and enhanced modulation flexibility enabled by multilevel voltage synthes...

Students and schools have distinct configurations of socio-emotional skills: a multilevel latent profile analysis

Abstract Socio-emotional skills have attracted increasing attention due to their significance to students’ academic and well-being outcomes. However, there is ongoing debate in the literature over whether students’ socio-emotional skills vary quantitatively or qualitatively. Furt...

Reconnecting the disconnected forebrain: multimodal resting-state bold dynamics underlying zolpidem-induced arousal in incomplete Locked-in syndrome

Primary objective Zolpidem paradoxically restores behavioral responsiveness and communication in select patients with severe disorders of consciousness and profound motor deafferentation. While the anterior forebrain mesocircuit hypothesis attributes this awakening to central tha...

Forecasting European temperature-related mortality in Summer 2024: data-driven vs. physics-based forecast approaches

Heat has emerged as a major public health concern. Over 62 000 heat-related deaths were estimated to have occurred during the European summer of 2024, exemplifying the pressing need to develop effective early warning systems. Such systems depend critically on the quality of the u...

A Novel Universal Perspective for Heat Capacity Predictions: Case Study of Deep Eutectic Solvents and Ionic Liquids

Abstract The significance of property predictions for novel green solvents has resulted in various approaches, yet none are accurate, simple, global, predictive, and require minimal or no experimental data, all at the same time. We propose a novel global perspective, requiring no...

Storm-modulated submesoscale dynamics over sloping topography in a wind-driven, non-tidal basin

While ocean surface submesoscales have been extensively studied, their counterparts in the bottom boundary layer (BBL) remain little explored. These subsurface features, however, appear to play a key role in (i) boundary-interior exchange, (ii) forward energy cascade, and (iii) t...

Evaluation of multi-location accelerometer sensor configurations for vibration-based classification of CNC milling conditions

Abstract In CNC milling processes, vibration signals are a crucial data source that directly reflects machining dynamics and changes in cutting conditions. This study aims to classify material type, feed rate, and depth-of-cut using data-driven vibration signals obtained during C...

Hash Guided Patch Retrieval for Efficient Medical Anomaly Detection

Anomaly detection becomes really important in the case of scarce annotated data, such as in biomedical applications where abnormal findings are often rare and spatially localized. Among feature based methods, Patchcore has emerged as a promising solution for Anomaly Detection by...