Novel variants of FSIP2 and SPEF2 cause varying degrees of spermatozoa damage in MMAF patients and favorable ART outcomes.

Purpose: This study identified novel variants of the FSIP2 and SPEF2 genes in multiple morphological abnormalities of the sperm flagella (MMAF) patients and to investigate the potential effect of variations on male infertility and assisted reproductive outcomes.

Methods: Whole-exome sequencing was performed in 106 Chinese MMAF patients. The discovered variants were evaluated in silico and confirmed by Sanger sequencing.

Multi-Planar Cervical Motion Dataset: IMU Measurements and Goniometer.

This data descriptor presents a comprehensive and replicable dataset and method for calculating the cervical range of motion (CROM) utilizing quaternion-based orientation analysis from Delsys inertial measurement unit (IMU) sensors. This study was conducted with 14 participants and analyzed 504 cervical movements in the Sagittal, Frontal and Horizontal planes. Validated against a Universal Goniometer and tested for reliability and reproducibility.

Success History Adaptive Competitive Swarm Optimizer with Linear Population Reduction: Performance benchmarking and application in eye disease detection.

Eye disease detection has achieved significant advancements thanks to artificial intelligence (AI) techniques. However, the construction of high-accuracy predictive models still faces challenges, and one reason is the deficiency of the optimizer. This paper presents an efficient optimizer named Success History Adaptive Competitive Swarm Optimizer with Linear Population Reduction (L-SHACSO).

Basic Science and Pathogenesis.

Background: During aging, we observe several changes in the brain that render it more vulnerable to a variety of age-related neurodegenerative diseases, including Alzheimer's Disease. Glia-neuron interactions mediate brain development and physiology via cell-surface proteins at the cell-surface interface, and dysregulation of these interactions is considered one of the hallmarks of brain aging. Due to the critical role glial cells play in neuroplasticity, immune function, and homeostasis, dysregulation of glial cell-surface proteins is hypothesized to contribute to neurodegeneration.

Enacting an Online Depression Community in China: The Community of Practice Perspective.

The dilemma of disclosing one's illness experiences in real life has led to a proliferation of online health communities. It is worth exploring the nature of such communities. Drawing on the community of practice (CoP) theory, this article explores how members enact online health communities by studying the support group "Philosophical Treatment of Depression," one of the largest online depression communities in China.

Precision Medicine for Pulmonary Vascular Disease: The Future Is Now (2023 Grover Conference Series).

Pulmonary vascular disease is not a single condition; rather it can accompany a variety of pathologies that impact the pulmonary vasculature. Applying precision medicine strategies to better phenotype, diagnose, monitor, and treat pulmonary vascular disease is increasingly possible with the growing accessibility of powerful clinical and research tools. Nevertheless, challenges exist in implementing these tools to optimal effect.

P-Dopant with Spherical Anion for Stable n-i-p Perovskite Solar Cells.

Li-TFSI/t-BP is the most widely utilized p-dopant for hole-transporting materials (HTMs) in state-of-the-art perovskite solar cells (PSCs). However, its nonuniformity of doping, along with the hygroscopicity and migration of dopants, results in the devices that exhibit limited stability and performance. This study reports the use of a spherical anion of the p-dopant, regulated by its radius and shape, as an alternative to the linear TFSI- anion.

Transitions in treatment: A systematic review and meta-aggregation of preferences and barriers in switching from oral to long-acting injectable antiretroviral therapy among people living with HIV and stakeholders.

Introduction: Antiretroviral treatment (ART) has significantly enhanced health outcomes for people living with HIV (PLWH). With the evolution of treatment options, there is an increasing interest in the development of long-acting injectable formulations of antiretroviral drugs. These formulations present a promising alternative to oral ART.

DSIA U-Net: deep shallow interaction with attention mechanism UNet for remote sensing satellite images.

Semantic segmentation of high-resolution images from remote sensing is crucial across various sectors. However, due to limitations in computational resources and the complexity of network architectures, many sophisticated semantic segmentation models struggle with efficiency in real-world applications, leading to an interest in developing lightweight model like borders. These models often employ a dual-branch structure, which balances processing speed and performance effectively.

Advantages of different dietary supplements for elite combat sports athletes: a systematic review and Bayesian network meta-analysis.

With an increasing number of studies delving into the impact of dietary supplements on combat sports performance, researchers are actively seeking a more efficient dietary supplement for use in these sports. Nonetheless, controversies persist. Hence, we undertook a systematic review and Bayesian network meta-analysis to discern the most effective dietary supplements in combat sports by synthesizing the available evidence.

Graph Geometric Algebra networks for graph representation learning.

Graph neural networks (GNNs) have emerged as a prominent approach for capturing graph topology and modeling vertex-to-vertex relationships. They have been widely used in pattern recognition tasks including node and graph label prediction. However, when dealing with graphs from non-Euclidean domains, the relationships, and interdependencies between objects become more complex.

All-electrical recursive generation and time-domain mode division multiplexing of Hermite-Gaussian pulses for optical, THz and RF links.

Space division multiplexing (SDM) with Hermite Gaussian (HG) modes, for instance, can significantly boost the transmission link capacity. However, SDM is not suitable in existing single mode fiber networks, and in long-distance wireless, microwave, THz or optical links, the far-field beam distribution may present a problem. Recently it has been demonstrated, that time domain HG modes can be employed to enhance the link capacity.

Spin polarization induced by atomic strain of MBene promotes the ·O production for groundwater disinfection.

Superbugs in groundwater are posing severe health risks through waterborne pathways. An emerging approach for green disinfection lies at photocatalysis, which levers the locally generated superoxide radical (·O) for neutralization. However, the spin-forbidden feature of O hinders the photocatalytic generation of active ·O, and thus greatly limited the disinfection efficiency, especially for real groundwater with a low dissolved oxygen (DO) concentration.

Incremental learning algorithm for dynamic evolution of domain specific vocabulary with its stability and plasticity analysis.

Domain-specific vocabulary, which is crucial in fields such as Information Retrieval and Natural Language Processing, requires continuous updates to remain effective. Incremental Learning, unlike conventional methods, updates existing knowledge without retraining from scratch. This paper presents an incremental learning algorithm for updating domain-specific vocabularies.

Patterns of liver fibrosis evolution in Chinese HIV/HBV co-infected adults following 5-year antiretroviral treatment: a longitudinal study using non-invasive APRI and Fib-4 scores.

The long-term effects of combined antiretroviral therapy (ART) on liver fibrosis patterns in adults living with HIV and chronic hepatitis B virus (HBV) are not well understood. Therefore, this study aimed to investigate the trajectories of liver fibrosis and identify the associations of baseline variables with different patterns of liver fibrosis evolution. A total of 333 individuals with HIV/HBV co-infection and undergoing long-term ART were enrolled in this study.

Virological outcomes of antiretroviral therapy and its determinants among HIV patients in Ethiopia: Implications for achieving the 95-95-95 target.

Background: Despite significant advancements in HIV treatment, virological outcomes remain a critical issue. Ethiopia did not meet the 90:90:90 targets set for 2020, which aimed for 90% of people on antiretroviral therapy to achieve viral suppression. As the country shifts its focus toward the 95:95:95 targets for 2030-seeking to achieve 95% viral suppression among those on ART-it is crucial to deepen our understanding of viral suppression and the factors that influence it.

Incidence and outcome of hepatitis D virus infection in people with HIV in the era of tenofovir-containing antiretroviral therapy.

Background: Tenofovir-containing antiretroviral therapy (ART) improves survival in HBV-coinfected people with HIV (PWH). We investigated the incidence of HDV infection and its clinical impact in HBV-coinfected PWH in the era of tenofovir-containing ART.

Methods: Between 2011 and 2022, HBV-coinfected PWH were included and followed until December 2023.

Risk of adverse birth outcomes and birth defects among women living with HIV on antiretroviral therapy and HIV-negative women in Uganda, 2015-2021.

Introduction: We assessed the risk of adverse pregnancy and birth outcomes and birth defects among women living with HIV (WLHIV) on antiretroviral therapy (ART) and HIV-negative women.

Methods: We analyzed data on live births, stillbirths, and spontaneous abortions during 2015-2021 from a hospital-based birth defects surveillance system in Kampala, Uganda. ART regimens were recorded from hospital records and maternal self-reports.

Comparing between newly diagnosed, ART-naive people living with HIV and HIV-uninfected adults in Tanzania: clues for cardiovascular disease prevention.

Cardiovascular disease (CVD) represents a major cause of premature mortality in people living with HIV (PLWH). There is a need to characterize the cardiovascular health profiles of PLWH to appropriately guide primary prevention efforts, particularly in settings like Sub-Saharan Africa, where there is a high burden of HIV and limited resources. A cross-sectional analysis was conducted on a cohort of newly diagnosed PLWH and HIV-uninfected adults recruited from three HIV clinics in Mwanza, Tanzania.

Multimodal sleep staging network based on obstructive sleep apnea.

Background: Automatic sleep staging is essential for assessing sleep quality and diagnosing sleep disorders. While previous research has achieved high classification performance, most current sleep staging networks have only been validated in healthy populations, ignoring the impact of Obstructive Sleep Apnea (OSA) on sleep stage classification. In addition, it remains challenging to effectively improve the fine-grained detection of polysomnography (PSG) and capture multi-scale transitions between sleep stages.

From laboratory to field: cross-domain few-shot learning for crop disease identification in the field.

Few-shot learning (FSL) methods have made remarkable progress in the field of plant disease recognition, especially in scenarios with limited available samples. However, current FSL approaches are usually limited to a restrictive setting where base classes and novel classes come from the same domain such as PlantVillage. Consequently, when the model is generalized to new domains (field disease datasets), its performance drops sharply.

Glutathione-Driven Disassembly of Planar Organic Phototherapeutic Agents to Enhance Photodynamic-Photothermal Therapy Performance for Nasopharyngeal Carcinoma.

The self-assembly of hydrophobic organic phototherapeutic agents (OPTAs) with expansive planar structures into nanoparticles (NPs) represents a pivotal strategy to bolster their biocompatibility. However, the tight molecular packing within these NPs significantly influences the generation of reactive oxygen species (ROS) and the photothermal conversion efficiency (PCE), posing a substantial hurdle to elevating the efficacy of photodynamic therapy (PDT) and photothermal therapy (PTT) for such NPs. In this article, three OPTAs by donor engineering are synthesized.

Dietary diversity and opportunistic infections among adults living with human immunodeficiency virus on antiretroviral therapy in Kumasi metropolis; a facility-based cross-sectional study.

Background: Despite advances in antiretroviral therapy (ART), people living with human immunodeficiency virus (HIV)/ acquired immunodeficiency syndrome (AIDS) continue to face heightened susceptibility to opportunistic infections (OIs). Adequate nutrition remains an essential factor that positively influences disease progression and the occurrence of OIs. In Ghana, no study has evaluated the association between dietary diversity and OI occurrence among adults with HIV.

Subsequent pregnancies in the IMPAACT 2010/VESTED Trial: high rate of adverse outcomes in women living with HIV.

Introduction: Women with HIV (WHIV) have higher risks of adverse pregnancy outcomes, particularly in the absence of antiretroviral treatment(ART), and timing of ART may impact risk.

Methods: In IMPAACT 2010 (VESTED), 643 pregnant WHIV in 9 countries were randomized 1:1:1 to initiate ART: dolutegravir (DTG)+emtricitabine(FTC)/tenofovir alafenamide(TAF); DTG+FTC/tenofovir disoproxil fumarate (TDF) or efavirenz (EFV)/FTC/TDF. We describe adverse pregnancy outcomes in women with a subsequent pregnancy during 50 weeks of postpartum follow-up: spontaneous abortion (<20 weeks), stillbirth (≥20 weeks), preterm delivery (<37 weeks) and small-for-gestational-age (SGA).

Domain adaptation spatial feature perception neural network for cross-subject EEG emotion recognition.

Emotion recognition is a critical research topic within affective computing, with potential applications across various domains. Currently, EEG-based emotion recognition, utilizing deep learning frameworks, has been effectively applied and achieved commendable performance. However, existing deep learning-based models face challenges in capturing both the spatial activity features and spatial topology features of EEG signals simultaneously.