The philosophical basis of nursing research is simply about increasing our knowledge and addressing everyday challenges through reflective thinking. This article explored the fundamental principles that inform nursing research and stresses nurse researchers' vital role in meeting everyday challenges. By employing classic philosophical concepts and contemporary ways of knowing, this article explained how individual beliefs, conceptions about truth, and reflections on self had contributed to knowledge development. To put it plainly, this article is about the story of a nurse researcher and the illustration of how a nurse's philosophy impacts research and consequently contributes to the development of nursing science. Instead of regarding this process as a quest for the ultimate truth, this article recognized the evolving process of interacting with fluid knowledge to advance nursing practice and do well in society.

Cervical cancer during pregnancy poses a rare and complex clinical and ethical challenge, particularly in low- and middle-income countries such as the Philippines. The dual obligation to preserve maternal life while protecting fetal viability requires a nuanced balance between medical science, ethics, and cultural values.This commentary explores the ethical implications of treating cervical cancer in pregnancy using Intensity Modulated Radiation Therapy (IMRT) at reduced standard radiation volumes, highlighting how medical innovation intersects with the principles of biomedical ethics.

At present, upper limb motor rehabilitation relies on specific rehabilitation aids, ignoring the initiative of upper limb motor of patients in the middle and late stages of rehabilitation. This paper proposes a fuzzy evaluation method for active participation based on trajectory error and surface electromyography (sEMG) for patients who gradually have the ability to generate active force. First, the level of motor participation was evaluated using trajectory error signals represented by computer vision. Then, the level of physiological participation was quantified based on muscle activation (MA) characterized by sEMG. Finally, the motor performance and physiological response parameters were input into the fuzzy inference system (FIS). This system was then used to construct the fuzzy decision tree (FDT), which ultimately outputs the active participation level. A controlled experiment of upper limb flexion and extension exercise in 16 healthy subjects demonstrated that the method presented in this paper was effective in quantifying difference in the active participation level of the upper limb in different force-generating states. The calculation results of this method and the active participation assessment method based on sEMG during the task cycle showed that the active participation evaluation values of both methods peaked in the initial cycle: (82.34 ± 9.3) % for this paper's method and (78.44 ± 7.31) % for the sEMG method. In the subsequent cycles, the values of both showed a dynamic change trend of rising first and then falling. Trend consistency verifies the effectiveness of the active participation assessment strategy in this paper, providing a new idea for quantifying the participation level of patients in middle and late stages of upper limb rehabilitation without special equipment mediation.
Humans ; Electromyography/methods* ; Upper Extremity/physiology* ; Fuzzy Logic ; Exercise Therapy/methods* ; Muscle, Skeletal/physiology* ; Male

Artificial intelligence-enhanced brain-computer interfaces (BCI) are expected to significantly improve the performance of traditional BCIs in multiple aspects, including usability, user experience, and user satisfaction, particularly in terms of intelligence. However, such AI-integrated or AI-based BCI systems may introduce new ethical issues. This paper first evaluated the potential of AI technology, especially deep learning, in enhancing the performance of BCI systems, including improving decoding accuracy, information transfer rate, real-time performance, and adaptability. Building on this, it was considered that AI-enhanced BCI systems might introduce new or more severe ethical issues compared to traditional BCI systems. These include the possibility of making users' intentions and behaviors more predictable and manipulable, as well as the increased likelihood of technological abuse. The discussion also addressed measures to mitigate the ethical risks associated with these issues. It is hoped that this paper will promote a deeper understanding and reflection on the ethical risks and corresponding regulations of AI-enhanced BCIs.
Brain-Computer Interfaces/ethics* ; Artificial Intelligence/ethics* ; Humans ; Deep Learning ; User-Computer Interface ; Electroencephalography

In recent years, cardiovascular disease has become a common disease. With the development of machine learning and big data technologies, the processing ability of electrocardiogram (ECG) signals has been greatly enhanced through new computer technologies, enabling the auxiliary diagnosis technology for cardiovascular disease (CVD) to achieve new improvements. This article discusses the application of machine learning in ECG processing, especially in the auxiliary diagnosis of diseases. Firstly, the conventional signal preprocessing methods are introduced, and then the EEG signal processing methods based on feature extraction and fuzzy classification are explored. Secondly, the application of auxiliary diagnosis in CVD is further summarized. Finally, the advantages and disadvantages of the two methods are analyzed, and based on this, a design of an auxiliary diagnostic system compatible with the two methods is proposed, providing a new perspective for similar applied researches in the future.
Machine Learning ; Cardiovascular Diseases/diagnosis* ; Humans ; Electrocardiography ; Signal Processing, Computer-Assisted ; Diagnosis, Computer-Assisted ; Fuzzy Logic ; Electroencephalography

OBJECTIVE: To enhance the reliability of medical equipment, this study aims to develop a failure cause diagnosis model and provide rational suggestions for efficient equipment use. METHODS: Combine fault tree analysis (FTA) to identify basic events causing equipment failure and calculate their prior probabilities. Obtain conditional probability tables for each node through expert assessment. Integrate triangular fuzzy number theory with Bayesian network (BN) to construct a fuzzy Bayesian network (FBN) for posterior probability inference and sensitivity analysis. RESULTS: Using endoscopes as the subject, the analysis shows that the model accurately calculates the endoscope failure probability at 0.385%, and identifies the key causes: improper cleaning ( X5, posterior probability 0.36064), untimely fault detection ( X8, posterior probability 0.23571), irregular transportation ( X6, posterior probability 0.11344), and natural aging ( X10, posterior probability 0.11377). Sensitivity analysis also confirms their influence weights (mutual information values are 0.00749, 0.00591, 0.00202, 0.00174). CONCLUSION The model can accurately perform quantitative analysis and rapid fault location of medical equipment failures, enabling effective preventive measures.
Bayes Theorem ; Fuzzy Logic ; Equipment Failure Analysis/methods* ; Equipment Failure ; Algorithms

Yoga is a therapeutic practice renowned for its multifaceted benefits across the body's systems. Its positive impact spans the physical, mental and emotional realms, fostering harmony and well-being. Through a combination of postures, breathing techniques and meditation, yoga offers profound effects, enhancing flexibility, strength and balance while simultaneously promoting relaxation and reducing stress. This integrative approach not only cultivates physical resilience but also supports mental clarity, emotional balance and overall vitality, showcasing yoga as a comprehensive and impactful system for holistic health. The review delved into the multifaceted ways in which yoga exerts a positive influence on the body's various systems. It highlights how yoga serves as a beneficial tool in addressing and counteracting the underlying factors associated with different diseases. By examining yoga's effects on these systems and its potential in combating illness, the paper sheds light on the comprehensive therapeutic benefits that yoga offers. Please cite this article as: Pandey S, Pandey AC, Kotecha VR. Yoga-A complementary and traditional medicine for human health. J Integr Med. 2025; 23(2): 93-105.
Yoga ; Humans ; Meditation ; Complementary Therapies ; Medicine, Traditional ; Holistic Health

As a new view of life,death with dignity involves the behavior that dominates the interests of individual life.Due to the influences of Chinese traditional culture,professional ethics,policies and laws,medical service supplies and other factors,the social implementation of death with dignity has brought many ethical problems.The improper social implementation of death with dignity will infringe on citizens' right to life and human dignity.In view of this problem,we should pay attention to the education of citizens' view of life and death,improve the specific operation procedures of death with dignity,and enhance the supply capacity of hospice care services in designing the system of death with dignity,so as to better safeguard and protect the basic rights and interests of citizens.
Humans ; Right to Die/ethics*

In palliative and hospice practice, health care professionals frequently faced ethical challenges related to end-of-life care. The complexities of patient care in the hospice and palliative care setting mandated a shift from healthcare professionals operating in “silo” to embracing an interprofessional team-based approach. However, ethical dilemmas and ethical conflicts within the interprofessional team and between the professional and patient family may arise, due to different perspectives about the patient's best interest. This paper utilized the Walker and Avant's (2011) concept analysis process in which the concept of interprofessional ethical reflective practice was developed. Adopting the analysis methodology from Walker and Avant (2011), this paper defined the concept and related concepts, attributes, antecedents, consequences, model case, borderline case and opposite case to describe the concept of interprofessional ethical reflective practice. The concept proposed a cyclical approach for interprofessional ethical reflective practice which includes three phases, pre-ethical situation reflection, intra-ethical situation reflection and post-ethical situation reflection. This concept allowed for the significance of interprofessional ethical reflective practice to become apparent, guiding healthcare professionals to navigate through ethical dilemmas with awareness, sensitivity, collaboration, and an attitude of commitment to upholding the ethical care principles in palliative and hospice care.

The road to publication can seem long and daunting. Further, access to published work is often limited to larger institutions that can afford expensive journal subscription fees. Gold open-access publications aimed to change the landscape of evidence-based science, allowing papers to be widely accessible without a subscription, often requiring an article processing fee paid by the author or institution. Regardless of the access model, reputable journals are expected to adhere to the publishing code of ethics and provide transparency in the peer review process. While the latter can significantly increase the length of processing time through multiple revisions, editors and peer reviewers provide expert opinions and valuable feedback, thereby safeguarding the integrity of the journal and the scientific process.
Publishing ; Codes of Ethics ; Feedback