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Background: Indonesia's vast archipelago and substantial population size present unique challenges in addressing its multifaceted HIV epidemic, with 90% of its 514 districts and cities reporting cases. Identifying key populations (KPs) is essential for effectively targeting interventions and allocating resources to address the changing dynamics of the epidemic.

Objective: We examine the 2022 mapping of Indonesia's KPs to develop improved HIV and AIDS interventions.

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This study examined internal, external training loads, internal:external ratios, and aerobic adaptations for acute and short-term chronic repeated-sprint training (RST) with blood flow restriction (BFR). Using randomised crossover (Experiment A) and between-subject (Experiment B) designs, 15 and 24 semi-professional Australian footballers completed two and nine RST sessions, respectively. Sessions comprised three sets of 5-7 × 5-second sprints and 25 seconds recovery, with continuous BFR (45% arterial occlusion pressure) or without (Non-BFR).

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A new HCM heart sound classification method based on weighted bispectrum features.

Phys Eng Sci Med

January 2025

School of Electrical Engineering and Electronic Information, Xihua University, Chengdu, China.

Hypertrophic cardiomyopathy (HCM), including obstructive HCM and non-obstructive HCM, can lead to sudden cardiac arrest in adolescents and athletes. Early diagnosis and treatment through auscultation of different types of HCM can prevent the occurrence of malignant events. However, it is challenging to distinguish the pathological information of HCM related to differential left ventricular outflow tract pressure gradients.

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Graph convolution network-based eeg signal analysis: a review.

Med Biol Eng Comput

January 2025

School of Control Science and Engineering, Tiangong University, Tianjin, 300387, China.

With the advancement of artificial intelligence technology, more and more effective methods are being used to identify and classify Electroencephalography (EEG) signals to address challenges in healthcare and brain-computer interface fields. The applications and major achievements of Graph Convolution Network (GCN) techniques in EEG signal analysis are reviewed in this paper. Through an exhaustive search of the published literature, a module-by-module discussion is carried out for the first time to address the current research status of GCN.

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Targeting oncogene-induced cellular plasticity for tumor therapy.

Adv Biotechnol (Singap)

July 2024

MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, Guangdong, China.

Cellular plasticity, the remarkable adaptability of cancer cells to survive under various stress conditions, is a fundamental hallmark that significantly contributes to treatment resistance, tumor metastasis, and disease recurrence. Oncogenes, the driver genes that promote uncontrolled cell proliferation, have long been recognized as key drivers of cellular transformation and tumorigenesis. Paradoxically, accumulating evidence demonstrates that targeting certain oncogenes to inhibit tumor cell proliferation can unexpectedly induce processes like epithelial-to-mesenchymal transition (EMT), conferring enhanced invasive and metastatic capabilities.

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