238455 research outputs found
Sort by
Diffusion Tensor Imaging and Advanced Diffusion Imaging in Post-Stroke Aphasia Recovery
No full textThis project is a comprehensive scoping review examining the role of diffusion MRI techniques in understanding, predicting, and guiding recovery in post-stroke aphasia (PSA). The primary purpose is to synthesize and map the existing literature on how white-matter integrity, assessed using diffusion imaging, relates to language impairment and recovery following stroke. In particular, the review aims to evaluate the clinical utility of conventional diffusion tensor imaging (DTI) alongside advanced diffusion models—such as diffusion kurtosis imaging, high-angular resolution diffusion imaging, constrained spherical deconvolution, fixel-based analysis, and connectome-based approaches—in diagnostic, prognostic, and therapeutic contexts
The Insula–Vagus–Skin Axis: A Proposed Neurobiological Integration Model for Autonomic Regulation
No full textThe Insula–Vagus–Skin Axis (IVSA): The Amin Hypothesis
This project establishes a new model for understanding how touch heals the nervous system. While we often think of skin as a "shield," the IVSA model shows it is actually a "portal" to the brain's internal monitoring system (the insula) and the body's calming system (the vagus nerve)
CogniSpeak: A Mobile Speech-Based Serious Game for Early Monitoring of Cognitive Changes in Older Adults and Individuals with Mild Cognitive Impairment
No full textAbstract
Background: Early detection and continuous monitoring of cognitive changes are critical for timely
intervention in aging populations and individuals at risk of mild cognitive impairment (MCI).
Speech-based digital biomarkers and serious games have emerged as promising, low-burden tools
for cognitive assessment and engagement.
Objective: This study introduces CogniSpeak, a mobile serious game designed to monitor and
stimulate cognitive functions through natural speech-based interactions. The system aims to
capture speech-derived cognitive markers during gameplay to support early identification of
cognitive changes in older adults, including those with MCI.
Methods: CogniSpeak is implemented as a mobile application (Android and iOS) featuring short,
adaptive game sessions targeting memory, attention, executive function, and language. Players
interact with the game using natural spoken Persian responses. Speech data are analyzed to
extract linguistic and temporal features, including speech rate, pause patterns, lexical diversity,
syntactic complexity, and semantic coherence. A pilot study design is proposed to evaluate
feasibility, usability, and associations between speech-based features and in-game cognitive
performance.
Conclusions: CogniSpeak demonstrates the potential of speech-based serious games as scalable
and non-invasive tools for early cognitive monitoring in aging populations.
Methods
This study proposes a pilot interventional design involving older adults from the general population
as well as individuals with mild cognitive impairment. Participants will engage with the CogniSpeak
mobile application over a period of four to six weeks. Each session lasts approximately 10–15
minutes and includes speech-based cognitive tasks embedded within a game environment.
Speech data will be anonymized and processed to extract temporal, lexical, and syntactic features.
In-game cognitive performance metrics and usability scores will be analyzed to explore correlations
with speech-derived features
Systems for Early Screening and Longitudinal Monitoring of Age-Related Cognitive Changes in Non-Clinical Environments: A Conceptual and Methodological Framework
No full textBackground: Age-related cognitive changes often emerge gradually and remain undetected until
functional impairment becomes clinically apparent. There is a growing need for scalable and
non-invasive systems capable of monitoring cognitive changes outside of clinical environments.
Objective: This paper presents a conceptual and methodological framework for systems designed
to support early screening and longitudinal monitoring of age-related cognitive changes in
non-clinical settings.
Methods: The proposed framework integrates behavioral and interaction-based indicators
collected during everyday digital activities. Cognitive-relevant signals are captured longitudinally
and interpreted at a systems level to support early identification of meaningful changes over time.
The framework emphasizes ecological validity, low user burden, and adaptability to diverse
real-world contexts.
Conclusions: Systems operating in non-clinical environments have the potential to complement
traditional cognitive assessment approaches by enabling continuous, real-world monitoring. This
framework provides guidance for the design of future cognitive monitoring technologies while
maintaining non-invasive and user-centered principles
Varieties and tree developmental stages jointly drive the structure of rhizosphere fungal communities in Macadamia integrifolia
No full textArtikel Moleculer Docking
No full textTuberculosis (TB) is a chronic infectious disease caused by Mycobacterium tuberculosis and remains a major global health challenge. Rising drug resistance necessitates the discovery of new therapeutics with alternative molecular targets. This study evaluates ten bioactive compounds derived from Justicia gendarussa, using docking data from the “Data yang Ditampilkan pada Artikel” file, to identify potential inhibition of the Ascorbate Peroxidase From Soybean Cytosol protein involved in iron-binding mechanisms of M. tuberculosis. Molecular docking was performed using Moe Exe, and redocking validation yielded an RMSD value of 0.9962 Å, indicating reliable accuracy. Results showed that squalene exhibited the strongest binding affinity (−9.718 kcal/mol), followed by flavonoids such as apigenin, naringenin, and kaempferol, which demonstrated a favorable balance of affinity and drug-likeness properties. As a control, isoniazid—the first-line anti-TB drug—showed a weaker affinity (−4.21 kcal/mol), suggesting that J. gendarussa compounds may more effectively target the Ascorbate Peroxidase From Soybean Cytosol protein. These findings highlight the potential of Justicia gendarussa as a promising natural source for developing TB drug candidates with novel mechanisms of actio
ANTICANCER EFFECTS OF GREEN BETEL LEAF (Piper betle) on ORAL CANCER
No full textOral cancer is a major global health concern with high morbidity and mortality rates, requiring
the development of effective and relatively safe anticancer agents. Green betel leaf (Piper betle)
has been traditionally used in Southeast Asia due to its bioactive compounds such as
flavonoids, alkaloids, tannins, and essential oils, which exhibit a wide range of
pharmacological activities, including anticancer potential. This study aims to evaluate the
anticancer effects of green betel leaf extract on oral cancer cells through mechanisms of
apoptosis induction, proliferation inhibition, and antioxidant activity that suppress oxidative
stress, a key factor in carcinogenesis. Several in vitro studies have demonstrated that ethanolic
extracts of green betel leaves significantly reduce oral cancer cell viability by activating
caspase-3 and caspase-9 pathways and inducing DNA fragmentation. Additionally, phenolic
compounds and eugenol play crucial roles in inhibiting free radical formation, downregulating
anti-apoptotic protein Bcl-2, and enhancing p53 expression associated with cell cycle
regulation. These findings suggest that green betel leaf has promising potential as a
chemopreventive agent or adjuvant therapy for oral cancer. However, further preclinical and
clinical investigations are necessary to confirm its safety, efficacy, and optimal therapeutic
dosage
molekuler docking
No full textMolecular docking adalah metode komputasi untuk memprediksi interaksi dan afinitas ikatan antara ligan dan biomolekul target, terutama protein. Proses docking meliputi preparasi protein dan ligan, pemilihan jenis docking dan scoring function, serta validasi hasil untuk memastikan keakuratan prediksi.
Metode ini banyak digunakan dalam desain obat, rekayasa enzim, studi mekanisme biokimia, nanoteknologi, dan toksikologi. Meskipun efektif dan efisien, molecular docking memiliki keterbatasan pada akurasi scoring function dan fleksibilitas protein. Oleh karena itu, pengembangannya kini diarahkan pada integrasi dengan molecular dynamics dan kecerdasan buatan untuk meningkatkan ketepatan hasil