Academic Articles & Research Papers

Tailoring structural properties of carbon via implanting optimal co nanoparticles in n‐rich carbon cages toward high‐efficiency oxygen electrocatalysis for rechargeable zn‐air batteries

Abstract Rational construction of carbon‐based materials with high‐efficiency bifunctionality and low cost as the substitute of precious metal catalyst shows a highly practical value for rechargeable Zn‐air batteries (ZABs) yet it still rem...

Loss of Dead end1 induces testicular teratomas from primordial germ cells that failed to undergo sexual differentiation in embryonic testes

Abstract Spontaneous testicular teratomas (STTs) are tumours comprising a diverse array of cell and tissue types, which are derived from pluripotent stem-like cells called embryonal carcinoma cells (ECCs). Although mouse ECCs originate from...

Study on the preparation of multifunctional bacterial cellulose-based wound dressings and their in vitro hemostatic performance

Abstract Bacterial cellulose (BC) is a favored material for medical wound dressings due to its biocompatibility and water-holding capacity, yet it lacks inherent antibacterial and hemostatic capabilities. To enhance its functionality, a nov...

OPTIMIZATION OF HOT AIR SOLDER LEVELING (HASL) MACHINE FOR A ROBUST SURFACE FINISH IN SOLDERING APPLICATIONS

Hot Air Solder Leveling (HASL) is one of the most commonly used surface finishes in the industry. HASL is also one of the least expensive types of PCB surface finishes available. This study aims to examine the influence on the solder joint ...

Development and characterization of 3D spinal cord organoids to advance the study of amyotrophic lateral sclerosis

Graphene Quantum Dots Modified with Metformin/Co(II) as Efficient Oxidation Catalyst

While one of the valuable approaches to obtaining a heterogeneous catalyst is supporting them on a high surface area supports, the strategy mainly suffers from the low number of chelating agents on most of the supports to grip the metal cat...

Dendritic boron and nitrogen doped high-entropy alloy porous carbon fibers for high-efficiency hydrogen evolution reaction

Summary: Among various electrocatalysts, high-entropy alloys (HEAs) have gained significant attention for their unique properties and excellent catalytic activity in the hydrogen evolution reaction (HER). However, the precise synthesis of H...

Four-dimensional reconfigurable vascular tunneling machine of spatially programmed liquid crystal elastomers

Abstract Thrombosis in tortuous vessels causes blockages and pathological conditions. Current thrombolytics are inefficient, and mechanical thrombectomies lack adaptability, hindering thrombus clearance in complex geometries. Here, we propo...

Electrorefining behavior of a multicomponent copper alloy derived from waste printed circuit boards

Efficient recycling of waste electrical and electronic equipment (WEEE) is a major priority for the circular economy and sustainable resource management. This study proposes and investigates an integrated mechanical, pyrometallurgical, and ...

Dielectric and impedance spectroscopic studies of three phase graphene/titania/poly(vinyl alcohol) nanocomposite films

Flexible dielectric polymer composites with high dielectric permittivity and low dielectric loss have many applications in different areas of electronic industry. In this paper, we propose synthesis of flexible dielectric materials with eff...

Bio-Engineered Graphene-Based Cage for Efficient Local Enrichment and Biodegradation of Aqueous Organic Wastes

Abstract Microorganism immobilization has attracted great attention as a traditional method to overcome aqueous organic wastes containing N, N-dimethylformamide (DMF). In this approach, graphene oxide was modified with functional polymer fi...

Critical Cybersecurity Scenarios in Drinking Water Treatment Plants

The increasing interconnectivity with external networks and the higher reliance on digital systems make chemical and process industries, including waste and drinking water treatment plants, more vulnerable to cyber-attacks. Historical evide...

Automated Cell Foreground–Background Segmentation with Phase-Contrast Microscopy Images: An Alternative to Machine Learning Segmentation Methods with Small-Scale Data

Cell segmentation is a critical step for image-based experimental analysis. Existing cell segmentation methods are neither entirely automated nor perform well under basic laboratory microscopy. This study proposes an efficient and automated...

Adjustment of the Minimum Spouting Velocity in a Conical Spouted Bed from Artificial Neural Networks

The minimum spouting velocity is one of the fundamental parameters in the application of the conical spouted bed pyrolysis, gasification and combustion, therefore it is necessary the adequate calculation and the use of a correlation with go...

Topological Data Analysis: Foundations, Algorithms, and Emerging Applications

Topological data analysis (TDA) has evolved into a flexible and robust paradigm for obtaining qualitative, geometry-inspired insights from high-dimensional, noisy, and complex data. Grounded in algebraic topology, geometry, statistics, and ...

A deep-learning system to classify lung X-ray images into normal/pneumonia class

Machine learning for biochemical engineering: A review

The field of machine learning is comprised of techniques, which have proven powerful approaches to knowledge discovery and construction of ‘digital twins’ in the highly dimensional, nonlinear and stochastic domains common to biochemical eng...

Machine Learning in Chemical Engineering: A Perspective

Abstract The transformation of the chemical industry to renewable energy and feedstock supply requires new paradigms for the design of flexible plants, (bio‐)catalysts, and functional materials. Recent breakthroughs in machine learning (ML)...

Optimization of Operational Parameters for Bio‑Oil Production from Municipal Solid Waste via Microwave Pyrolysis

The efficiency of bio-oil production from municipal solid waste was investigated using microwave-assisted pyrolysis. The effects of temperature, pyrolysis time, and microwave power on bio-oil yield were evaluated using Response Surface Meth...

Decentralized Distributed Sequential Neural Networks Inference on Low-Power Microcontrollers in Wireless Sensor Networks: A Predictive Maintenance Case Study

The growing adoption of IoT applications has led to increased use of low-power microcontroller units (MCUs) for energy-efficient, local data processing. However, deploying deep neural networks (DNNs) on these constrained devices is challeng...