In the last couple of years the chemiosmotic hypothesis has been severely criticised, such that many research groups now consider it to be a less than exact description of biological energy transduction. The most potent experimental support for this view is based upon the technique known as the double-inhibitor titration [e.g., (1982) Biochem. J. 206, 351-357]. The results of such experiments have been considered by many to exclude 'unequivocally' the chemiosmotic coupling model. It will be shown that such unequivocal statements are not possible. An argument is put forward which shows how the chemiosmotic model may explain these titrations without any further elaborations of the original hypothesis.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/0014-5793(84)80915-1 | DOI Listing |
PLoS One
January 2025
Cybersecurity Department, College of Computers, Umm Al-Qura University, Makkah City, Kingdom of Saudi Arabia.
The introduction of quantum computing has transformed the setting of information technology, bringing both unprecedented opportunities and significant challenges. As quantum technologies continue to evolve, addressing their implications for software security has become an essential area of research. This paradigm change provides an unprecedented chance to strengthen software security from the start, presenting a plethora of novel alternatives.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Economics and Management School, Wuhan University, Wuhan, China.
Background: Artificial intelligence-driven clinical decision support systems (AI-CDSSs) are pivotal tools for doctors to improve diagnostic and treatment processes, as well as improve the efficiency and quality of health care services. However, not all doctors trust artificial intelligence (AI) technology, and many remain skeptical and unwilling to adopt these systems.
Objective: This study aimed to explore in depth the factors influencing doctors' willingness to adopt AI-CDSSs and assess the causal relationships among these factors to gain a better understanding for promoting the clinical application and widespread implementation of these systems.
JMIR Form Res
January 2025
Centre for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Background: With the development of artificial intelligence (AI), medicine has entered the era of intelligent medicine, and various aspects, such as medical education and talent cultivation, are also being redefined. The cultivation of clinical thinking abilities poses a formidable challenge even for seasoned clinical educators, as offline training modalities often fall short in bridging the divide between current practice and the desired ideal. Consequently, there arises an imperative need for the expeditious development of a web-based database, tailored to empower physicians in their quest to learn and hone their clinical reasoning skills.
View Article and Find Full Text PDFPolymers (Basel)
December 2024
School of Mechanical and Electronic Engineering, Northeastern University, Shenyang 110819, China.
In this study, a fuzzy adaptive impedance control method integrating the backstepping control for the PAM elbow exoskeleton was developed to facilitate robot-assisted rehabilitation tasks. The proposed method uses fuzzy logic to adjust impedance parameters, thereby optimizing user adaptability and reducing interactive torque, which are major limitations of traditional impedance control methods. Furthermore, a repetitive learning algorithm and an adaptive control strategy were incorporated to improve the performance of position accuracy, addressing the time-varying uncertainties and nonlinear disturbances inherent in the exoskeleton.
View Article and Find Full Text PDFPharmaceuticals (Basel)
November 2024
Centre for Translational Medicine, Semmelweis University, 1085 Budapest, Hungary.
The physiology of the kidney has long been understood, and its mechanisms are well described. The pathology of renal failure is also a deeply researched area. It seems logical, therefore, to create devices that can replace the lost normal function of the kidney.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!