Research works

The efficacy of ketogenic interventions on neuropsychological & metabolic outcomes in serious mental illness & neurocognitive disorders: a systematic review & meta-analysis

Ketogenic interventions have garnered attention for their potential benefits in individuals with psychiatric and neurocognitive disorders. This review analyzed findings from studies investigating the impact of ketogenic interventions on clinical outcomes in individuals with serio...

Wave-driven resuspension as the dominant environmental predictor of enterococci at Chicago beaches

Abstract Predicting fecal indicator bacteria (FIB) to protect public health at Chicago beaches remains a significant challenge due to complex, site-specific environmental dynamics. This study presents a machine learning pipeline utilizing site-specific random forest regressor mod...

Differences in Baseline Demographic Characteristic and Complexity of Patients Based on Distance Traveled to Academic Center for Surgery

Background Many patients undergoing total hip (THA) or knee arthroplasty (TKA) require specialty surgical care. Therefore, referral to tertiary academic medical centers may increase, but may predispose for worse outcomes. This work sought to assess baseline characteristics as wel...

Pericyte dysfunction alone may be insufficient to drive tick-borne orthoflavivirus non-structural protein 1-mediated microvascular permeability

The emerging tick-borne flaviviruses Alkhumra haemorrhagic fever virus (AHFV) and Kyasanur Forest disease virus (KFDV) can cause severe haemorrhagic disease, yet the mechanisms driving this vascular leakage remain unclear. The microvascular capillaries and post-capillary venules...

Comparative analysis of flood Forecasting using numerical Weather predictions and AI-based precipitation forecasts in the solo River

This study evaluates the performance of the European Centre for Medium-Range Weather Forecasts (ECMWF) Numerical Weather Prediction (NWP) Integrated Forecasting System (IFS) and the Artificial Intelligence Forecasting System (AIFS) in flood forecasting. The primary objective is t...

Liposomal Delivery Systems for Berberine: Formulation Strategies, Pharmacokinetic Enhancement, and Therapeutic Applications

Abstract:Berberine (BBR) is a plant-derived isoquinoline alkaloid with a remarkably broadpharmacological profile spanning antidiabetic, hypolipidemic, antitumor, antimicrobial, antiviral,and anti-inflammatory activities. Despite this therapeutic promise, its clinical utility is s...

PRO-WILD: Protect & Promote Crop Wild Relatives Infographic (English)

PRO-WILD infographic in English.

Customer evaluations of service failures by visibly physically disabled frontline employees: a mixed-method study

Purpose The purpose of this study is to examine how frontline employees’ (FLEs’) visible physical disability status influences customers’ stereotypes and subsequent loyalty. Drawing on the stereotype content model (SCM), we further examine how service failure type (process vs. ou...

From Physics to Measurement, from Measurement to Health Technology, and from Health Technology to Social Benefit : A Country That Can Measure Is a Society That Can Improve

This publication explores the interdisciplinary pathway through which physics is transformed into reliable measurement, measurement enables the development and validation of health technologies, and health technologies generate economic and social value. Drawing on examples from...

The Scalar Glueball and the Trace Anomaly: Phenomenological Outlook and Open Lattice Challenges for a Dilaton Eective Model of Pure SU(3)

A dilaton effective model of pure SU(3) gauge theory, whose logarithmic potential is fixed by trace-anomaly matching rather than assumed, is confronted with continuum lattice data. Inverting the anomaly relation gives the dilaton vacuum expectation value χ0 = 304 ± 30 MeV, the st...

An Improved Informed-RRT* Algorithm Based on Risk-Density-Aware Corridor Sampling and Improvement-Bound Rejection for Path Planning

Sampling-based path planning is widely used in autonomous navigation, but Informed-RRT* still relies mainly on geometric ellipsoidal sampling and does not explicitly evaluate local obstacle risk, which can lead to invalid expansion, redundant nodes, and slow convergence. This pap...

Nano-enabled delivery of natural products and combinatorial chemotherapy for triple-negative breast cancers: mechanisms, synergy, and translational challenges

Among breast cancer subtypes, Triple-negative breast cancer (TNBC) is recognized for its aggressive behavior and is characterized by the absence of hormone receptors (estrogen and progesterone) and HER2 overexpression. This absence results in fewer treatment options and less favo...

DMFF: a deep learning-based multi-omics fusion framework for survival prediction and subtype classification in breast cancer

Intra-tumor molecular heterogeneity contributes substantially to survival differences among patients with breast cancer. Although deep learning-based multi-omics integration has shown promise for prognostic modeling, existing approaches may be affected by information leakage duri...

A JEPA-Inspired Span-Masked Framework for Language Representation Learning: Revisiting Cosine Similarity and VICReg Regularization

Joint-Embedding Predictive Architectures (JEPAs) have recently emerged as a promising paradigm for self-supervised representation learning by predicting latent embeddings from partial observations rather than reconstructing raw inputs. Although JEPA has demonstrated considerable...

Dynamics of a Mosaic of Quasicrystals from Two Lattices when One Lattice Slides over the Other

The discontinuous dynamics of a quasicrystalline mosaic consisting of two hexagonal or square lattices rotated by 90° relative to each other, where one lattice undergoes uniform translational motion, is considered. It is shown that small displacements of this lattice can lead to...

The worst energy policy in the world

The Iran war could serve as a turning point in accelerating the global transition away from fossil fuels: Every additional day that oil and gas prices are high and future supplies are uncertain, wind and solar power—cheaper and more scalable than ever before—grow all the more app...

Cladistics of the Zethus spinosus de Saussure Species Group: A New Subgenus of Zethus Fabricius, 1804 (Hymenoptera, Vespidae)

Zethus Fabricius is the largest genus of vespid wasps with over 300 species worldwide that are divided into subgenera and further into species groups. Recent phylogenetic studies raised the number of subgenera from four to nine, six of which are in the Neotropics. However, three...

Quantum Non-Locality Confirmed: Unified Frameworks and Ballistic Electron Tests — E8 Intelligence Research

FINDING: Bell inequality tests confirm quantum non-locality; new generalized rules (Buscemi) unify entanglement frameworks; condensed-matter proposal extends tests to ballistic electrons. MATH: - Bell inequality (CHSH form): \( S = E(a,b) + E(a,b') + E(a',b) - E(a',b') \leq 2 \)...

A Conjecture of Matter:The Ticking Law of Time——A Unified Explanation for Period Changes in Cepheid Variables

Observational data on period change rates of Cepheid variables reveal a long-standing unresolved picture: different stars exhibit vastly different rates and directions of period change, ranging from increases of over one hundred seconds per year to decreases of several hundred se...

Molecular mechanisms governing the action of the epidermal growth factor receptor and receptor tyrosine kinases, a personal perspective

I have been studying the mechanism of action of epidermal growth factor (EGF) receptor (EGFR), other receptor tyrosine kinases (RTKs) and their cellular signalling pathways for the past 45 years. A decade ago, I authored a review detailing the first two decades of research and hi...