The first multidisciplinary aggregator of Open Access journals and papers. Keep on top of recent discoveries and never hit a paywall.
Bradyarrhythmia is a potentially life-threatening disease. Current pharmacological and surgical treatments are limited by side effects and invasiveness, with an urgent need for safer and noninvasive therapeutic strategies. In this study, we develop a multifunctional regulating-sensing platform that integrates precise temperature regulation with simultaneous electrophysiological...
Pemilihan Sekolah Menengah Atas (SMA) merupakan keputusan penting yang tidak cukup hanya mempertimbangkan jarak dari tempat tinggal. Faktor-faktor seperti akreditasi, biaya pendidikan, kelengkapan jurusan, fasilitas, dan kemudahan akses transportasi juga perlu diperhitungkan secara bersamaan. Penelitian ini mengembangkan Sistem Pendukung Keputusan (SPK) pemilihan SMA berbasis web...
Cervical cancer (CC) remains a leading cause of cancer-related mortality among women, particularly in underdeveloped or developing countries lacking adequate screening programs. Despite being highly preventable through HPV vaccinations and screening tests, and highly treatable when detected early, CC continues to pose a significant health burden. MSX1, a transcription factor of...
Flow cytometry (FC) is essential for detecting measurable residual disease (MRD) in chronic lymphocytic leukemia (CLL), but its use is limited by the expertise and time required for manual analysis. We developed an artificial intelligence (AI) pipeline, Clustering/Classification of All Events, Dimensionality reduction, Downsampling, and Aberrancy Scaling (CCADDAS), to...
The increasing linguistic and cultural diversity of English classrooms requires pedagogical strategies that can support learners with different language backgrounds. However, graduate students’ perspectives as emerging English language educators remain underexplored in multilingual pedagogy research. This study aimed to examine how graduate students perceive and apply...
Postoperative quality-of-life (QoL) outcomes after subthalamic deep brain stimulation in Parkinson’s disease vary widely. Previous studies based on PDQ-39 summary scores have reported opposing relationships between baseline and postoperative QoL, reflecting analytic variability, measurement noise, and limited feature scope. To address these inconsistencies, we analyzed 130...
Accurate timekeeping is foundational to modern society, supporting critical technologies such as global navigation satellite systems (GNSS), high-frequency financial trading, synchronization of communication networks, and the realization of SI base units. Here we review the evolution of timekeeping, with a particular emphasis on atomic clocks and their applications. We describe...
Opioid addiction is characterized by compulsive drug seeking and use, accompanied by pain and heightened pain sensitivity (hyperalgesia) during withdrawal, yet the underlying neural mechanisms remain incompletely understood, especially for fentanyl. Using whole-brain Fos mapping and network analysis, we found that the periaqueductal gray is a central hub brain region engaged...
Still’s disease (SD) is a chronic and systemic autoinflammatory disorder, with the possibility of resulting in life-threatening complications, including macrophage activation syndrome (MAS). The metabolic–immune interplay underlying the immunopathology of SD/MAS remains largely unexplored. In this study, we identified itaconate — a myeloid cell-specific metabolite derived from...
This study examines uslūb nidā’ (the rhetorical vocative style) in the Qur`an, addressing two research questions: (1) what are the linguistic structural forms of uslūb nidā’ in the Qur`an, and (2) what are the rhetorical functions of uslūb nidā’ from the perspectives of balāghah and Qur`anic exegesis? The study adopts a qualitative approach through library research. Seven verses...
Generating equilibrium ensembles of structures is essential for modeling molecules and materials, yet traditional simulators like molecular dynamics suffer from limited sampling efficiency. Boltzmann Generators introduced the concept of one-shot deep learning for equilibrium sampling, but scalability to large systems has remained a major challenge. Here, we overcome this scaling...