Results 161 to 170 of about 747,597 (268)

Enhanced Rheological and Filtration Performance of Drilling Fluids Using Fe3O4/Saponin/Cu(II) Nanocomposites: Synthesis, Characterization, and Application

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Drilling fluids used in high‐performance well operations often struggle to maintain rheological stability, colloidal dispersion, and filtration control under harsh downhole conditions. This study engineered a multifunctional Fe3O4@Saponin/Cu(II) nanocomposite to address these challenges.
Kassem Al Attabi, Farag M. A. Altalbawy, Hana Ihsan Hassan, Ahmed Salih Sahib, Zahraa Saad Abdulali, Mariem Alwan, Mahmood Jawad, Hiba Mushtaq, Aseel Smerat, Fatimah Pashtun   +9 more
wiley   +1 more source

Associated factors, nonlinear risk patterns and effect heterogeneity of severe injuries in recreational skiers and snowboarders. [PDF]

Front Public Health
Ling X, Long L, Jiang D, Han X, Song X, Qin S, Jiang G.   +6 more
europepmc   +1 more source

Preparation and Performance Evaluation of a Self‐Generated Particle Plugging Agent Based on Thermosetting Resin

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT A thermosetting in situ curing resin microsphere system has been developed. It has controllable phase transition time and particle size. This system addresses the current challenges of low strength, shear susceptibility, and short phase transition time in polymer microsphere blockers and thermoplastic particle blockers.
Baolei Jiao, Lifeng Chen, Minghao Xue, Xuemin Yan, Jiamin Zhang, Feifan Liu   +5 more
wiley   +1 more source

Managing Shoulder Instability in the Contact and Collision Athlete. [PDF]

Curr Rev Musculoskelet Med
Lau EN, Brown CL, Saggar R, Mullen J, Olawin A, Lunn K, Lin A, Hicks JJ.   +7 more
europepmc   +1 more source

Catalytic Pyrolysis of Waste Polystyrene Over Fe–B Composite Catalyst for Enhanced Liquid Fuel Production

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Healthcare derived polystyrene waste represents a growing and under addressed fraction of plastic waste streams due to contamination risks and limited recyclability. This study aims to investigate the valorization of waste polystyrene foam through catalytic and noncatalytic pyrolysis pathways to evaluate product yield distribution and identify
Salman Khan, Zahid Hussain, Bilal Ahmad, Naveed Ahmad, Shohreh Azizi   +4 more
wiley   +1 more source

Potential Interactions Between Birds And Floating Photovoltaic Solar Energy: Spatially Informed Species Vulnerabilities, Techno-Ecological Risks, And Sustainability Trade-Offs. [PDF]

Environ Sci Technol
Binley AD, Gallaher A, Rodewald AD, Grodsky SM.   +3 more
europepmc   +1 more source

Prototype gesture recognition interface for vehicular head-up display system [PDF]

, 2018
Chan, Warren, Charissis, Vassilis, Harrison, David, Khan, Soheeb, Lagoo, Ramesh   +4 more
core   +1 more source

Optimization of F¯ Removal From Wastewater Utilizing Alternating Current Electrocoagulation Coupled With Sonication Using a Statistical Design Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Combining electrochemical and advanced oxidation processes (AOPs) has greatly mitigated the limitations of electrocoagulation (EC) in water treatment. This study examined the effectiveness of sonolysis (US)‐assisted alternating current (AC)–EC in reducing fluoride (F¯) from landfill leachate wastewater (LLW), with measurements of electrical ...
Perumal Asaithambi, Madhappan Santhamoorthy, Arun Thirumurugan, Suresh Pratap, Bheem Pratap, Ravikumar Jayabal, Vishal Kumar Parida, Subramaniapillai Niju   +7 more
wiley   +1 more source

Case Report: A primary breast collision tumor composed of myeloid sarcoma and invasive ductal carcinoma. [PDF]

Front Oncol
Ding JS, Zhang M, Zhou F.
europepmc   +1 more source

A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation

Advanced Physics Research, EarlyView.
A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab, Houssam Eddine Hailouf, Kingsley Onyebuchi Obodo, Mireille Megnidio‐Tchoukouegno, Mohammed Benali Kanoun, Souraya Goumri‐Said   +5 more
wiley   +1 more source