Information and communication technologies offer clinicians the opportunity to work with patients to manage chronic conditions, including addiction. The early research on the efficacy of electronic treatment and support tools is promising. Sensors have recently received increased attention as key components of electronic treatment and recovery management systems. Although results of the research are very promising, concerns at the clinical and policy level must be addressed before widespread adoption of these technologies can become practical. First, clinicians must adapt their practices to incorporate a continuing flow of patient information. Second, payment and regulatory systems must make adjustments far beyond what telemedicine and electronic medical records have required. This paper examines potential roles of information and communication technologies as well as process and regulatory challenges.
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http://dx.doi.org/10.1007/s11920-011-0218-y | DOI Listing |
Int J Geriatr Psychiatry
January 2025
Precision Neuroscience & Neuromodulation Program, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Background: Alzheimer's disease (AD) is characterized by impaired inhibitory circuitry and GABAergic dysfunction, which is associated with reduced fast brain oscillations in the gamma band (γ, 30-90 Hz) in several animal models. Investigating such activity in human patients could lead to the identification of novel biomarkers of diagnostic and prognostic value. The current study aimed to test a multimodal "Perturbation-based" transcranial Alternating Current Stimulation-Electroencephalography (tACS)-EEG protocol to detect how responses to tACS in AD patients correlate with patients' clinical phenotype.
View Article and Find Full Text PDFSci Rep
January 2025
School of Civil Engineering and Communication, North China University of Water Resources and Electric Power, Zhengzhou, 450045, People's Republic of China.
As one of the bulk solid wastes in the Yellow River basin in China, fluorite tailings urgently need to be utilized as resources. In this paper, NaOH and NaCO were used for alkali thermal activation of ground fluorite tailings under different temperature conditions, and the reactivity was analyzed by XRD, SEM and compressive strength after hydration, so as to evaluate the feasibility of fluorite tailings as geopolymer precursor. The results show that the fluorite tailings can exhibit certain reactivity under alkaline heat excitation, and significant amorphous glass phase can be detected.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Electronics and Communication Engineering, Panimalar Engineering College, Chennai, India.
The growing number of connected devices in smart home environments has amplified security risks, particularly from Man-in-the-Middle (MitM) attacks. These attacks allow cybercriminals to intercept and manipulate communication streams between devices, often remaining undetected. Traditional rule-based methods struggle to cope with the complexity of these attacks, creating a need for more advanced, adaptive intrusion detection systems.
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January 2025
School of Electrical Engineering, VIT University, Tamilnadu, 632014, India.
In the recent era, Lithium ion batteries plays a significant role in EV industry due to their high specific energy density, power density, low self-discharge rate, and prolonged lifespan. Modeling the battery precisely and estimating its State of Charge with great precision is essential to improve the performance of the lithium-ion batteries. Though numerous methods has been proposed for estimating the SOC, accurate estimation approach is not proposed yet since all these approaches consider the discrete-time dynamics of the battery.
View Article and Find Full Text PDFNat Commun
January 2025
School of Integrated Circuit, Tsinghua University, Beijing, P.R. China.
Human-machine interaction has emerged as a revolutionary and transformative technology, bridging the gap between human and machine. Gesture recognition, capitalizing on the inherent dexterity of human hands, plays a crucial role in human-machine interaction. However, existing systems often struggle to meet user expectations in terms of comfort, wearability, and seamless daily integration.
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