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Bioengineering, Volume 12, Issue 2

2025 February - 116 articles

Cover Story: Critical-sized bone defects, which can result from trauma, infection, or tumor removal, present major challenges for orthopedic surgeons. Current treatments like bone grafts have significant limitations such as donor site complications and variable outcomes. Regional gene therapy has emerged as a promising solution that combines genetic engineering with tissue engineering principles. This approach involves either directly delivering therapeutic genes to the defect site or implanting genetically modified stem cells that produce bone-forming proteins. Such stem cells can be obtained from various sources including bone marrow, fat, or muscle tissue. This strategy aims to provide all the essential components for bone repair while minimizing the complications associated with the current treatments. View this paper
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Articles (116)

  • Review
  • Open Access
3 Citations
10,417 Views
13 Pages

Different Oral Appliance Designs Demonstrate Different Rates of Efficacy for the Treatment of Obstructive Sleep Apnea: A Review Article

  • Leonard A. Liptak,
  • Edward Sall,
  • Sung Kim,
  • Erin Mosca,
  • Shouresh Charkhandeh and
  • John E. Remmers

Obstructive Sleep Apnea afflicts an estimated 1 billion people worldwide. Untreated, Obstructive Sleep Apnea is linked with elevated levels of mortality, decreased quality of life and increased economic costs. However, several large population studie...

  • Article
  • Open Access
943 Views
19 Pages

The objective of this research was to develop a coded language, similarly to Morse or Braille, via a haptic thermal interface. The method is based on the human thermal sense to receive and decode the messages, and is to be used as an alternative or c...

  • Review
  • Open Access
21 Citations
13,336 Views
57 Pages

Neuro-Nutrition and Exercise Synergy: Exploring the Bioengineering of Cognitive Enhancement and Mental Health Optimization

  • Vicente Javier Clemente-Suárez,
  • Alexandra Martín-Rodríguez,
  • Agustín Curiel-Regueros,
  • Alejandro Rubio-Zarapuz and
  • José Francisco Tornero-Aguilera

The interplay between nutrition, physical activity, and mental health has emerged as a frontier in bioengineering research, offering innovative pathways for enhancing cognitive function and psychological resilience. This review explores the neurobiol...

  • Editorial
  • Open Access
2 Citations
2,561 Views
4 Pages

This Special Issue of Bioengineering is dedicated to the profound impact of big data and artificial intelligence (AI) in the fields of biomedical research and healthcare. In an age defined by the rapid evolution of technology, this Issue explores the...

  • Article
  • Open Access
1 Citations
2,777 Views
31 Pages

Development of Mathematical Model for Understanding Microcirculation in Diabetic Foot Ulcers Based on Ankle–Brachial Index

  • Ana Karoline Almeida da Silva,
  • Gustavo Adolfo Marcelino de Almeida Nunes,
  • Rafael Mendes Faria ,
  • Mário Fabrício Fleury Rosa,
  • Lindemberg Barreto Mota da Costa,
  • Newton de Faria,
  • Adson Ferreira da Rocha ,
  • José Carlos Tatmatsu-Rocha and
  • Suelia de Siqueira Rodrigues Fleury Rosa

This study proposes an innovative mathematical model for assessing microcirculation in patients with diabetic ulcers, using the ankle–brachial index (ABI). The methodology combines Bond Graph (BG) modeling and Particle Swarm Optimization (PSO),...

  • Review
  • Open Access
7 Citations
4,493 Views
30 Pages

Inflammatory Cell-Targeted Delivery Systems for Myocardial Infarction Treatment

  • Wenyuan Zhang,
  • Dan Peng,
  • Shiqi Cheng,
  • Rui Ni,
  • Meiyang Yang,
  • Yongqing Cai,
  • Jianhong Chen,
  • Fang Liu and
  • Yao Liu

Myocardial infarction (MI) is a cardiovascular disease (CVD) with high morbidity and mortality worldwide, which is a serious threat to human life and health. Inflammatory and immune responses are initiated immediately after MI, and unbalanced inflamm...

  • Systematic Review
  • Open Access
6 Citations
2,952 Views
12 Pages

Exploring the Impact of Socially Assistive Robots in Rehabilitation Scenarios

  • Arianna Carnevale,
  • Alessandra Raso,
  • Carla Antonacci,
  • Letizia Mancini,
  • Alessandra Corradini,
  • Alice Ceccaroli,
  • Carlo Casciaro,
  • Vincenzo Candela,
  • Alessandro de Sire and
  • Umile Giuseppe Longo
  • + 1 author

Background: Socially Assistive Robots (SARs) represent an innovative approach in rehabilitation technology, significantly enhancing the support and motivation for individuals across diverse rehabilitation settings. Despite their growing utilization,...

  • Article
  • Open Access
1,693 Views
18 Pages

Round Well Inset for Uniform Electric Field Distribution in Electroporation Applications

  • Praveen Sahu,
  • Marco Barozzi,
  • Paolo Di Barba,
  • Maria Evelina Mognaschi,
  • Monica La Mura,
  • Patrizia Lamberti,
  • Michele Forzan,
  • Maria Teresa Conconi,
  • Ignacio Camarillo and
  • Elisabetta Sieni
  • + 1 author

Uniform electric field distribution in electroporation is crucial for achieving the effective localized delivery of drug molecules. Currently, in vitro electroporation studies on adherent cells lack a standardized test setup for obtaining consistent...

  • Article
  • Open Access
1 Citations
4,602 Views
11 Pages

Carrying external loads, such as vest-borne systems, is common in occupations like firefighting and military service, yet the physiological impacts of load placement, mass, and walking conditions remain not fully understood. This study examined the e...

  • Article
  • Open Access
3 Citations
2,450 Views
18 Pages

There is a growing need to predict the severity of vitamin D deficiency (VDD) through non-invasive methods due to its significant global health concerns. For vitamin D-level assessments, the 25-hydroxy vitamin D (25-OH-D) blood test is the standard,...

  • Review
  • Open Access
2 Citations
5,754 Views
18 Pages

The Role of Magnesium, Zinc, and Strontium in Osteoporotic Fracture Repair

  • Zhen Wang,
  • Penghui Xiang,
  • Zhe Xu,
  • Meiqi Gu,
  • Rui Zhang,
  • Yifei Li,
  • Hua Chen,
  • Li He and
  • Chengla Yi

Osteoporotic fractures represent a significant public health challenge in the context of an aging global population, with the rising prevalence of osteoporosis intensifying the demand for effective fracture treatment. Restoring the structure and func...

  • Review
  • Open Access
3 Citations
4,548 Views
20 Pages

Scaffold-Free Strategies in Dental Pulp/Dentine Tissue Engineering: Current Status and Implications for Regenerative Biological Processes

  • Mohammad Samiei,
  • Martin Conrad Harmsen,
  • Elaheh Dalir Abdolahinia,
  • Jaleh Barar and
  • Xenos Petridis

Conventionally, root canal treatment is performed when the dental pulp is severely damaged or lost due to dental trauma or bacterial endodontic infections. This treatment involves removing the compromised or infected pulp tissue, disinfecting the roo...

  • Article
  • Open Access
1 Citations
1,614 Views
12 Pages

Utilizing Integrated Bioinformatics Analysis to Explore Potential Alterations in Mitochondrial Function Within Immune Cells Associated with Thoracic Aortic Aneurysms

  • Chang Guan,
  • Si-Xu Chen,
  • Chun-Ling Huang,
  • Yi-Peng Du,
  • Kai-Hao Wang,
  • Pei-Xin Li,
  • Shen-Rong Liu,
  • Zhao-Yu Liu and
  • Zheng Huang

Thoracic aortic aneurysm (TAA) is a life-threatening peripheral vascular disease with a complex pathogenesis. Altered mitochondrial function in vascular smooth muscle cells has been implicated in TAA development. However, the link between mitochondri...

  • Article
  • Open Access
1 Citations
1,794 Views
20 Pages

Computer-aided detection (CADe) of masses in digital breast tomosynthesis (DBT) is crucial for early breast cancer diagnosis. However, the variability in the size and morphology of breast masses and their resemblance to surrounding tissues present si...

  • Article
  • Open Access
2 Citations
3,789 Views
24 Pages

A Non-Invasive Approach for Facial Action Unit Extraction and Its Application in Pain Detection

  • Mondher Bouazizi,
  • Kevin Feghoul,
  • Shengze Wang,
  • Yue Yin and
  • Tomoaki Ohtsuki

A significant challenge that hinders advancements in medical research is the sensitive and confidential nature of patient data in available datasets. In particular, sharing patients’ facial images poses considerable privacy risks, especially wi...

  • Article
  • Open Access
1,845 Views
23 Pages

Energy Saving in Permanent Cardiac Pacing: Pulse Waveform and Charge Balancing Deserve Consideration

  • Franco Di Gregorio,
  • Lina Marcantoni,
  • Aldo Mozzi,
  • Alberto Barbetta and
  • Francesco Zanon

The pacing pulse produced by implantable stimulators can be described as a truncated exponential decay from the starting peak amplitude, corresponding to the discharge of the output stage capacitance (reservoir and isolation capacitors, in series) al...

  • Article
  • Open Access
1,905 Views
18 Pages

Bayesian Hierarchical Modeling for Variance Estimation in Biopharmaceutical Processes

  • Sonja Schach,
  • Tobias Eilert,
  • Beate Presser and
  • Marco Kunzelmann

Determining process variances in biopharmaceutical manufacturing is challenging due to limited data availability. To address this, we introduce a Bayesian hierarchical model designed for meta-analysis of process variance. This approach can improve pr...

  • Brief Report
  • Open Access
2 Citations
1,376 Views
12 Pages

Organisms maintain circadian rhythms corresponding to approximately 24 h in the absence of external environmental cues, and they synchronize the phases of their autonomous circadian clocks to light–dark cycles, feeding timing, and other factors...

  • Article
  • Open Access
3 Citations
1,371 Views
14 Pages

Nitric Oxide Distribution Correlates with Intraluminal Thrombus in Abdominal Aortic Aneurysm: A Computational Study

  • Siting Li,
  • Shiyi Yang,
  • Xiaoning Sun,
  • Tianxiang Ma,
  • Yuehong Zheng and
  • Xiao Liu

Intraluminal thrombus (ILT) in the abdominal aortic aneurysm (AAA) is associated with disease progression and complications. This study investigates the relationship between nitric oxide (NO) concentration and ILT in AAA patients using patient-specif...

  • Article
  • Open Access
1 Citations
1,307 Views
31 Pages

Semantic-Attention Enhanced DSC-Transformer for Lymph Node Ultrasound Classification and Remote Diagnostics

  • Ying Fu,
  • Shi Tan,
  • Michel Kadoch,
  • Jinghua Zhong,
  • Lifeng Guo,
  • Yangan Zhang,
  • Xiaohong Huang and
  • Xueguang Yuan

This study presents a novel Semantic-Attention Enhanced Dynamic Swin Convolutional Block Attention Module(CBAM) Transformer (DSC-Transformer) for lymph node ultrasound image classification. The model integrates semantic feature extraction and multi-s...

  • Article
  • Open Access
3 Citations
3,875 Views
25 Pages

A Comprehensive AI Framework for Superior Diagnosis, Cranial Reconstruction, and Implant Generation for Diverse Cranial Defects

  • Mamta Juneja,
  • Ishaan Singla,
  • Aditya Poddar,
  • Nitin Pandey,
  • Aparna Goel,
  • Agrima Sudhir,
  • Pankhuri Bhatia,
  • Gurzafar Singh,
  • Maanya Kharbanda and
  • Philip Breedon
  • + 6 authors

Cranioplasty enables the restoration of cranial defects caused by traumatic injuries, brain tumour excisions, or decompressive craniectomies. Conventional methods rely on Computer-Aided Design (CAD) for implant design, which requires significant reso...

  • Article
  • Open Access
2 Citations
1,702 Views
13 Pages

Gender Differences in Joint Biomechanics During Obstacle Crossing with Different Heights

  • Chenyan Wang,
  • Yuan Guo,
  • Weijin Du,
  • Zhiqiang Li and
  • Weiyi Chen

Identifying gender-related gait changes offers valuable insights into the role of gender in motor control. It is anticipated that more difficult gait tasks (obstacle crossing) may reveal gender-specific effects on gait parameters. The present study a...

  • Article
  • Open Access
1 Citations
2,366 Views
21 Pages

Digital pathology images have long been regarded as the gold standard for cancer diagnosis in clinical medicine. A highly generalized digital pathological image diagnosis system can provide strong support for cancer diagnosis, help to improve the dia...

  • Article
  • Open Access
6 Citations
3,140 Views
17 Pages

Explainable Artificial Intelligence Models for Predicting Depression Based on Polysomnographic Phenotypes

  • Doljinsuren Enkhbayar,
  • Jaehoon Ko,
  • Somin Oh,
  • Rumana Ferdushi,
  • Jaesoo Kim,
  • Jaehong Key and
  • Erdenebayar Urtnasan

Depression is a common mental health disorder and a leading contributor to mortality and morbidity. Despite several advancements, the current screening methods have limitations in enabling the robust and automated detection of depression, thereby hin...

  • Article
  • Open Access
1 Citations
1,604 Views
18 Pages

Intracranial aneurysms (IAs), a significant medical concern due to their prevalence and life-threatening nature, pose challenges regarding diagnosis owing to their diminutive and variable morphology. There are currently challenges surrounding automat...

  • Article
  • Open Access
2,203 Views
20 Pages

Cell counting in immunocytochemistry is vital for biomedical research, supporting the diagnosis and treatment of diseases such as neurological disorders, autoimmune conditions, and cancer. However, traditional counting methods are manual, time-consum...

  • Article
  • Open Access
1 Citations
1,700 Views
13 Pages

Effect of 10 kV/m Electric Field Therapy in a Pressure Injury Model in Rats: An Innovative Preliminary Report

  • Mustafa Soner Özcan,
  • Halil Aşcı,
  • Pınar Karabacak,
  • Eyyüp Sabri Özden,
  • Rümeysa Taner,
  • Özlem Özmen,
  • Muhammet Yusuf Tepebaşı and
  • Selçuk Çömlekçi

Background: Pressure injuries are still an important health problem worldwide, although many therapies have been applied to date. This study aimed to determine the optimal duration of external application of a 10 kV/m direct current (DC, static) elec...

  • Article
  • Open Access
6 Citations
2,750 Views
22 Pages

Development of a Widely Accessible, Advanced Large-Scale Microfluidic Airway-on-Chip

  • Brady Rae,
  • Gwenda F. Vasse,
  • Jalal Mosayebi,
  • Maarten van den Berge,
  • Simon D. Pouwels and
  • Irene H. Heijink

On-chip microfluidics are advanced in vitro models that simulate lung tissue’s native 3D environment more closely than static 2D models to investigate the complex lung architecture and multifactorial processes that lead to pulmonary disease. Cu...

  • Article
  • Open Access
2 Citations
2,450 Views
32 Pages

A Study on Staging Cystic Echinococcosis Using Machine Learning Methods

  • Tuvshinsaikhan Tegshee,
  • Temuulen Dorjsuren,
  • Sungju Lee and
  • Dolgorsuren Batjargal

Cystic echinococcosis (CE) is a chronic parasitic disease characterized by slow progression and non-specific clinical symptoms, often leading to delayed diagnosis and treatment. Early and precise diagnosis is crucial for effective treatment, particul...

  • Article
  • Open Access
16 Citations
5,975 Views
21 Pages

A Conceptual Framework for Applying Ethical Principles of AI to Medical Practice

  • Debesh Jha,
  • Gorkem Durak,
  • Vanshali Sharma,
  • Elif Keles,
  • Vedat Cicek,
  • Zheyuan Zhang,
  • Abhishek Srivastava,
  • Ashish Rauniyar,
  • Desta Haileselassie Hagos and
  • Ulas Bagci
  • + 5 authors

Artificial Intelligence (AI) is reshaping healthcare through advancements in clinical decision support and diagnostic capabilities. While human expertise remains foundational to medical practice, AI-powered tools are increasingly matching or exceedin...

  • Article
  • Open Access
1,878 Views
23 Pages

A Mathematical Exploration of the Effects of Ischemia-Reperfusion Injury After a Myocardial Infarction

  • Mehtap Lafci Büyükkahraman,
  • Houjia Chen,
  • Benito M. Chen-Charpentier,
  • Jun Liao and
  • Hristo V. Kojouharov

Introduction: After myocardial infarction (MI), the heart undergoes necrosis, inflammation, scar formation, and remodeling. While restoring blood flow is crucial, it can cause ischemia-reperfusion (IR) injury, driven by reactive oxygen species (ROSs)...

  • Article
  • Open Access
1 Citations
5,434 Views
18 Pages

Electromagnetic Fields, Electrical Stimulation, and Vacuum Simultaneously Applied for Major Burn Scars

  • Salvatore Marafioti,
  • Sheila Veronese,
  • Claudio Pecorella,
  • Carlo Felice Tavernese,
  • Sara Costantino,
  • Maurizio Busoni and
  • Andrea Sbarbati

Background: Regeneration in the case of major burn subjects must involve tissue and structural regeneration, but also functional regeneration, as scars derived from burns often compromise motility. Electromagnetic fields and electrical stimulation ma...

  • Article
  • Open Access
1,961 Views
12 Pages

Bone Remodeling and Marginal Bone Loss of Simplified Versus Conventional Drilling: A Randomized Clinical Trial

  • Alberto Ruiz García,
  • Artiom Lijnev,
  • Fatemeh Soleymani,
  • Jeevithan Elango,
  • José Eduardo Maté Sánchez de Val and
  • Carlos Pérez-Albacete Martínez

This study evaluates the influence of conventional versus simplified drilling protocols on bone remodeling after the osteointegration period, marginal bone loss (MBL), and primary implant stability. A randomized, double-blind clinical trial was condu...

  • Review
  • Open Access
3 Citations
3,408 Views
16 Pages

Challenges and Opportunities in Cytopathology Artificial Intelligence

  • Meredith A. VandeHaar,
  • Hussien Al-Asi,
  • Fatih Doganay,
  • Ibrahim Yilmaz,
  • Heba Alazab,
  • Yao Xiao,
  • Jagadheshwar Balan,
  • Bryan J. Dangott,
  • Aziza Nassar and
  • Zeynettin Akkus
  • + 1 author

Artificial Intelligence (AI) has the potential to revolutionize cytopathology by enhancing diagnostic accuracy, efficiency, and accessibility. However, the implementation of AI in this field presents significant challenges and opportunities. This rev...

  • Article
  • Open Access
3 Citations
2,304 Views
17 Pages

Comparison Between Micro- and Micro-Nano Surface Texturization in the Initial Osseointegration Process: An Experimental In Vitro and In Vivo Preclinical Study

  • Sergio Alexandre Gehrke,
  • Eleani Maria da Costa,
  • Jaime Aramburú Júnior,
  • Tiago Luis Eilers Treichel,
  • Massimo Del Fabbro and
  • Antonio Scarano

Background: The physicochemical changes of the surface aim to improve cell adhesion, proliferation, and differentiation, that is, better biological interaction with the cells and, consequently, with the peri-implant tissues. In the present study, imp...

  • Article
  • Open Access
2,067 Views
15 Pages

Acute Biomechanical Effects of Cardiac Contractility Modulation in Living Myocardial Slices from End-Stage Heart Failure Patients

  • Mark F. A. Bierhuizen,
  • Jorik H. Amesz,
  • Sanne J. J. Langmuur,
  • Bobby Lam,
  • Paul Knops,
  • Kevin M. Veen,
  • Olivier C. Manintveld,
  • Jolanda Kluin,
  • Natasja M. S. de Groot and
  • Yannick J. H. J. Taverne

Proof-of-concept to determine the direct biomechanical effects of cardiac contractility modulation (CCM) on living myocardial slices (LMS) from patients with end-stage heart failure (HF). Left ventricular LMS from patients with end-stage HF were prod...

  • Article
  • Open Access
2,012 Views
14 Pages

Local Antimicrobial Potential of Bupivacaine and Tolfenamic Acid-Loaded Ultra-High Molecular Weight Polyethylene (UHMWPE) for Orthopedic Infection

  • Amita Sekar,
  • Nicoletta Inverardi,
  • Sashank Lekkala,
  • Andrew Thomson,
  • Vikram Daesety,
  • Darina Trendafilova,
  • Peyton Tierney,
  • Jamie E. Collins,
  • Orhun K. Muratoglu and
  • Ebru Oral

Peri-prosthetic joint infection (PJI) is a major post-arthroplasty complication that warrants alternative antibacterial approaches to improve prophylaxis and treatment outcomes. Local administration of analgesics post-surgery is common. Recent studie...

  • Article
  • Open Access
4 Citations
2,795 Views
16 Pages

Optimization of Tibial Stem Geometry in Total Knee Arthroplasty Using Design of Experiments: A Finite Element Analysis

  • Hyun Hee Lee,
  • Hyoung-Taek Hong,
  • Jong-Keun Kim,
  • Yong-Gon Koh,
  • Kwan Kyu Park and
  • Kyoung-Tak Kang

The stability of the tibial component in Total Knee Arthroplasty (TKA) is critical to preventing aseptic loosening, a major cause of implant failure. However, existing tibial stem designs often lead to stress shielding and bone resorption, highlighti...

  • Brief Report
  • Open Access
3 Citations
2,149 Views
8 Pages

Microwave-Assisted Optimization of Polyvinyl Alcohol Cryogel (PVA-C) Manufacturing for MRI Phantom Production

  • Ivan Vogt,
  • Martin Volk,
  • Emma-Luise Kulzer,
  • Janis Seibt,
  • Maciej Pech,
  • Georg Rose and
  • Oliver S. Grosser

Objectives: Anthropomorphic phantoms offer a promising solution to minimize animal testing, enable medical training, and support the efficient development of medical devices. The adjustable mechanical, biochemical, and imaging properties of the polyv...

  • Article
  • Open Access
1,577 Views
18 Pages

Characterizing Metabolic Shifts in Septic Murine Kidney Tissue Using 2P-FLIM for Early Sepsis Detection

  • Stella Greiner,
  • Mahyasadat Ebrahimi,
  • Marko Rodewald,
  • Annett Urbanek,
  • Tobias Meyer-Zedler,
  • Michael Schmitt,
  • Ute Neugebauer and
  • Jürgen Popp

In this study, thin mouse kidney sections from healthy mice and those infected leading to acute and chronic sepsis were examined with two-photon excited fluorescence lifetime imaging (2P-FLIM) using the endogenous fluorescent coenzymes nicotinamide a...

  • Article
  • Open Access
1 Citations
1,940 Views
13 Pages

Comparative Study on Three Different Designs of Locking Mechanisms in Total Knee Arthroplasty

  • Byung Woo Cho,
  • Hyoung-Taek Hong,
  • Yong-Gon Koh,
  • Kwan Kyu Park and
  • Kyoung-Tak Kang

The locking mechanism of the fixed-bearing tibial insert is a crucial factor in total knee arthroplasty. Previous studies have predominantly been retrieval-based, with no research examining the forces required for disassembly and assembly based on th...

  • Article
  • Open Access
6 Citations
4,339 Views
17 Pages

Over the past decade, deep learning techniques, particularly neural networks, have become essential in medical imaging for tasks like image detection, classification, and segmentation. These methods have greatly enhanced diagnostic accuracy, enabling...

  • Article
  • Open Access
2,408 Views
16 Pages

Automated Extraction of Key Entities from Non-English Mammography Reports Using Named Entity Recognition with Prompt Engineering

  • Zafer Akcali,
  • Hazal Selvi Cubuk,
  • Arzu Oguz,
  • Murat Kocak,
  • Aydan Farzaliyeva,
  • Fatih Guven,
  • Mehmet Nezir Ramazanoglu,
  • Efe Hasdemir,
  • Ozden Altundag and
  • Ahmet Muhtesem Agildere

Objective: Named entity recognition (NER) offers a powerful method for automatically extracting key clinical information from text, but current models often lack sufficient support for non-English languages. Materials and Methods: This study investig...

  • Article
  • Open Access
5 Citations
4,316 Views
14 Pages

This study applied machine learning (ML) algorithms to predict health-related quality of life (HRQOL) using comprehensive social determinants of health (SDOH) features. Data from the All of Us dataset, comprising participants with complete HRQOL and...

  • Article
  • Open Access
1 Citations
1,805 Views
13 Pages

Anterior cruciate ligament (ACL) rupture and patellar dislocation (PD) are common knee injuries. Dual-energy X-ray absorptiometry (DXA) and computed tomography (CT) are widely used clinical diagnostic tools. The aim was to investigate the characteris...

  • Article
  • Open Access
1 Citations
3,161 Views
15 Pages

A High-Frequency Temporal-Interference Alternative Current Stimulation Device Using Pulse Amplitude Modulation with Push–Pull Current Sources

  • Jia-Hao Bai,
  • Szu-Chi Huang,
  • Po-Lei Lee,
  • Kuo-Kai Shyu,
  • Chao-Jen Huang,
  • Tsung-Chih Chen and
  • Sheng-Ji Lai

This study proposes a high-frequency Pulse Amplitude-Modulation Temporal-Interference (PAM-TI) current stimulation device, which utilizes two sets of Amplitude-modulated transcranial alternating current stimulation (AM-tACS): one AM frequency at f0 (...

  • Review
  • Open Access
8 Citations
12,229 Views
18 Pages

Artificial intelligence (AI) is a growing area of computer science that combines technologies with data science to develop intelligent, highly computation-able systems. Its ability to automatically analyze and query huge sets of data has rendered it...

  • Article
  • Open Access
2 Citations
3,721 Views
15 Pages

Biomechanical Analysis of Cycle-Tempo Effects on Motor Control Among Jump Rope Elites

  • Qi Zhou,
  • Yufeng Liu,
  • Jianguo Kang,
  • Xiuping Wang,
  • Kai Zhang and
  • Gongbing Shan

Jump rope is a widely applied basic training technique in various sports, yet it is understudied biomechanically. This study investigates the impact of cycle-tempo-induced motor control changes in elite jump rope athletes, addressing the biomechanica...

  • Correction
  • Open Access
1 Citations
1,006 Views
3 Pages

Correction: Lana et al. Evolution and Innovations in Bone Marrow Cellular Therapy for Musculoskeletal Disorders: Tracing the Historical Trajectory and Contemporary Advances. Bioengineering 2024, 11, 979

  • José Fábio Lana,
  • Gabriela Caponero de Brito,
  • André Kruel,
  • Benjamim Brito,
  • Gabriel Silva Santos,
  • Carolina Caliari,
  • Francesca Salamanna,
  • Maria Sartori,
  • Giovanni Barbanti Brodano and
  • Peter Albert Everts
  • + 6 authors

In the original publication [...]

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Bioengineering - ISSN 2306-5354