Results 101 to 110 of about 1,278,781 (270)

An explainable graph retrieval augmented generation framework for personalized nutrition recommendation

Frontiers in Artificial Intelligence
IntroductionDietary planning is essential for managing non-communicable diseases, yet many AI-based nutrition systems lack structured knowledge grounding, demographic sensitivity, and explainability.
Varrsan Dindukurthi, Dhruv Jain, Anubhava Tripathi, Jagan Mohan Obbineni, Ilanthenral Kandasamy   +4 more
doaj   +1 more source

Therapeutic Apheresis for Intravenous Methylprednisolone‐Refractory Neuromyelitis Optica Spectrum Disorder: Clinical and Radiological Outcomes in a Single‐Center Case Series

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi, Daisuke Katagiri, Takeyuki Watadani, Shunichi Matsuda, Hiroshi Kaneko, Noritoshi Arai   +5 more
wiley   +1 more source

Deep learning with ensemble-based hybrid AI model for bipolar and unipolar depression detection using demographic and behavioral based on time-series data

Dialogues in Clinical Neuroscience
Background Depression, including Bipolar and Unipolar types, is a widespread mental health issue. Conventional diagnostic methods rely on subjective assessments, leading to possible underreporting and bias.
Naga Raju Kanchapogu, Sachi Nandan Mohanty   +1 more
doaj   +1 more source

Astrobiology: Science Learning Activities for Afterschool [PDF]

, 2006
This product consists of eight astrobiology after-school activities, each of which may be completed in about one hour. The science of astrobiology is concerned with the question of whether or not life exists on other planets.

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Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
wiley   +1 more source

Mobility-Aware LoRa Protocol for Reliable IoT Communications

IEEE Access
The Industrial Internet of Things (IIoT) requires communication technologies that combine long-range connectivity, energy efficiency, bounded latency, and seamless mobility.
Venkata S. V. G. Sarma Lanka, D. Kothandaraman   +1 more
doaj   +1 more source

Effects of the Fluid Replacement Method During Online Hemodiafiltration on the Solute Removal Performance and Biocompatibility Using the Asymmetric Cellulose Triacetate Membrane

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Pre‐dilution online hemodiafiltration (Pre‐HDF) is predominantly used in Japan, whereas post‐dilution online HDF (Post‐HDF) is more common in Europe. An asymmetric cellulose triacetate (ATA) membrane may improve biocompatibility.
Kenji Sakurai, Yoshitaka Kurihara, Fumi Yamauchi, Hiromi Hosoya, Takeshi Saito   +4 more
wiley   +1 more source

Infection Control Practices for Vascular Access Management in Hemodialysis: Results From a Nationwide Survey of Japanese National University Hospitals

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Bloodstream infections due to repeated vascular access (VA) puncture and circuit connections remain major concerns in hemodialysis. Therefore, we examined current practices for glove, disinfectant, and personal protective equipment (PPE) use according to VA type in national university hospitals in Japan.
Aiko Yamada, Makoto Harada, Tadahiko Kikugawa, Takeshi Nakata, Koji Hashimoto, Tsuneo Konta, Yuji Kamijo   +6 more
wiley   +1 more source

MFENet: A Multi-Feature Extraction Network for Enhanced Emotion Detection Using EEG and STFT

IEEE Access
Developing computationally efficient models for EEG-based emotion recognition is essential for enabling scalable and responsive brain-computer interface (BCI) systems. However, the inherent nonstationarity of EEG signals and individual variability across
N. Ramesh Babu, Viswanathan Vadivel
doaj   +1 more source

BRAC health informatics system [PDF]

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2005.Cataloged from PDF version of thesis report.Includes bibliographical references (page 102).At the ...
Feroze, Hasnain, Sumon, Soriful Alam
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