Research works

Deep Reinforcement Learning-Guided Design of Broadband Electromagnetic Wave Absorbing Coatings

Abstract Artificial intelligence-assisted design of electromagnetic wave absorbing coatings is often restricted to geometry or topology optimization within fixed materials. Here, we present a modular particle swarm optimization−proximal policy optimization (PSO−PPO) framework for...

Advancing immunogenic peptide identification using explainable machine learning framework for rational vaccine design

Abstract The identification of immunogenic peptides is essential for the development of effective vaccines and immunotherapies. However, accurately identifying these peptides remains a significant challenge, as it involves a complex interplay of multiple biological factors. In th...

Ligand-based pharmacophore modeling for the discovery of NaV1.7 inhibitors

Abstract Voltage-gated sodium channel Na V 1.7 is a key mediator of electrical excitability and signal transmission in peripheral nociceptors and has emerged as a highly attractive therapeutic target for the development of novel analgesic agents. However, the development of selec...

Characterizing emissions, chemistry, and health impacts of aged wildfire smoke in a western US city

Abstract. We report hourly surface observations of PM2.5, CO, NOx, O3, and 75 speciated VOCs in Missoula, Montana, during a strong smoke event in 2020. This study tests our current understanding of wildfire emissions, chemistry, and health effects as implemented in the GEOS-Chem...

Multi-target drug discovery of Sclerocarya birrea bioactive moieties against drug resistance in triple-negative breast cancer (TNBC) targeting BCL2, CASP3, and JUN modulation; a polypharmacological and molecular modelling approach

Abstract Triple-negative breast cancer (TNBC) remains one of the most aggressive breast cancer subtypes, characterized by poor prognosis and limited therapeutic options due to drug resistance. In this study, a network pharmacology-based multi-target drug discovery approach was ap...

Gender analysis of the authors of the German-language pharmacy journal Pharmakon from 1972 to 2021

Abstract Women tend to be underrepresented in almost all scientific fields in Germany. This study analyses publications of scientists in a German pharmaceutical non-peer-reviewed journal over a period of 50 years (1972–2021). The journal Pharmakon (previously named Pharmazie in u...

Facilitating Falsification: Devil’s Advocacy in Dutch Police Investigations

Abstract Confirmation bias has been identified as a recurrent cause of wrongful convictions. To mitigate the risk of this bias, police investigators should devote effort to exploring and attempting to falsify alternative hypotheses about a crime. In the Netherlands, investigators...

Semantic composition and pragmatic reasoning in preschool children’s interpretation of negated gradable adjectives

Abstract Absolute gradable adjectives (e.g., dry ) and relative gradable adjectives (e.g., tall ) interact differently with negation, with only negated absolute gradable adjectives semantically entailing their antonyms (e.g., not dry ⊨ wet ). This study examined how 4- and 5-year...

HDA15-Mediated Deacetylation of GPX1 Inhibits Its Nuclear Translocation and Increases Osmotic Stress Sensitivity in Rice

Redox regulation plays an important role in plant stress responses. Our previous study revealed that rice GLUTATHIONE PEROXIDASE 1 (GPX1) acts as a redox sensor and transducer and promotes osmotic stress tolerance by transfer of cytosolic oxidative signals to transcription factor...

Relationship between body composition, executive functions and self-regulation of eating habits in university students: an analysis with a gender perspective

To evaluate associations between body composition, executive functions, and self-regulation of eating habits, and to explore whether the multivariate pattern of performance differs by gender in university students. The sample included 91 students. Body composition, executive func...

Explicit and high-precision period approximations for the circular Sitnikov restricted four-body problem

Abstract This brief note presents an explicit analytical approximation to the period of the circular Sitnikov restricted four-body problem. The proposed approximation achieves superior accuracy and greater algebraic compactness compared to existing analytical approximations acros...

Constructing co-assembly derived smart lipid nanoparticles for enhanced antimicrobial potency with plant growth-promoting potential

Lipid nanoparticles (LNP) are widely used in biomedical applications due to their biocompatibility and safety, yet their translation to plant systems remains limited. Here, we establish a unified strategy integrating antibacterial compound discovery, plant-adapted nanocarrier des...

Calr-mediated calcium buffering: a molecular barrier to in vivo cardiac reprogramming

In a recent publication in Cell Stem Cell , Cai et al. 1 employed an in vivo Perturb-seq strategy to systematically identify molecular barriers that limit direct cardiac reprogramming following myocardial infarction (MI). This study provides a conceptual and technological framewo...

Leveraging Artificial Intelligence and Natural Language Processing in Legal Epidemiology Studies: Opportunities and Challenges

Legal epidemiology - the study of how laws influence health outcomes - is an emerging field with potential to inform policy and improve public health. Shortages of specialists who can commit the extensive time required for these analyses has hindered progress in this area. Featur...

Intelligence at the Edge: Design Requirements for Accountable AI in Retail and Algorithmic Trading Under the UK and EU Regimes

Accountability arrangements for artificial intelligence assume there is time to review a decision, room to reverse it, and a single organisation carrying its consequence. Financial-market AI has none of the three. This paper states what a system operating without them must provid...

Nonparetic forearm fracture and early upper-limb manual function outcomes after stroke rehabilitation

Upper-limb recovery after stroke may be affected by conditions that restrict the use of the nonparetic limb during early rehabilitation. We evaluated whether nonparetic forearm fracture was associated with early manual function outcomes after inpatient stroke rehabilitation. This...

A Multiplicative Extension of Weighted Hadamard Fractional Integrals

This paper presents an innovative category of weighted Hadamard fractional integral operators situated within the paradigm of multiplicative calculus. The operator introduced herein broadens the traditional weighted Hadamard fractional integral by integrating the multiplicative f...

Hybrid ARIMAX–LSTM Modeling with Elastic Net for Time Series Forecasting the Education Index of Jambi Province

Abstract This study proposes a Hybrid ARIMAX–LSTM framework integrated with Elastic Net regularization to improve the forecasting accuracy of the Education Index of Jambi Province. Annual data from 2010 to 2024 are utilized, with Elastic Net applied to select relevant exogenous v...

A Generalization Euclidean Algorithm Approach for Solving Multi-Variable Linear Diophantine Equations

Multi-variable linear Diophantine equations of the form a1x1 + a2x2 + + anxn = b, where ai, b Z, have various applications in many fields, including cryptography, chemistry, and statistics, where they can be used to determine public and private keys, balance chemical equations, a...

Dynamic Analysis of a Modified SETPR Terrorism Model Incorporating Recidivism of Imprisoned Terrorists

Terrorism poses a serious threat to national security, particularly when former terrorist inmates return to active duty due to the failure of deradicalization programs. This study modifies the $SETPR$ model by adding a direct recidivism path from the imprisoned compartment (\(P\)...