The Association between Assisted Reproductive Technologies and Neurodevelopmental Disorders in Offspring: An Overview of Current Evidence.

The utilization of assisted reproductive technologies (ART) is on the rise, resulting in a growing population of ART-conceived offspring. The health concerns of this unique population have attracted significant attention. During ART procedures, gametes and early-stage embryos are exposed to various non-physiological conditions, such as manipulation, culture media, and cryopreservation, which may disrupt embryonic development and potentially impact the health of offspring. Notably, the potential impact of ART on neurodevelopment and its association with an increased risk of neurodevelopmental disorders (NDD) later in life remains a subject of debate. This review aims to summarize the current research advancements concerning the effects of ART on neurodevelopment, specifically focusing on the evidence of the relationship between ART, epigenetic modifications, and NDD, including autism spectrum disorder, intellectual disability, attention deficit hyperactivity disorder, and cerebral palsy. Future studies should prioritize large sample sizes, rigorous adjustment for confounding factors, and the use of interdisciplinary approaches to effectively monitor the neurodevelopmental outcomes of ART-conceived children.

Cognition Guided Human-Object Relationship Detection.

Human-object relationship detection reveals the fine-grained relationship between humans and objects, helping the comprehensive understanding of videos. Previous human-object relationship detection approaches are mainly developed with object features and relation features without exploring the specific information of humans. In this paper, we propose a novel Relation-Pose Transformer (RPT) for human-object relationship detection. Inspired by the coordination of eye-head-body movements in cognitive science, we employ the head pose to find those crucial objects that humans focus on and use the body pose with skeleton information to represent multiple actions. Then, we utilize the spatial encoder to capture spatial contextualized information of the relation pair, which integrates the relation features and pose features. Next, the temporal decoder aims to model the temporal dependency of the relationship. Finally, we adopt multiple classifiers to predict different types of relationships. Extensive experiments on the benchmark Action Genome validate the effectiveness of our proposed method and show the state-of-the-art performance compared with related methods.

CIRCULAR RNA CIRC_0099188 CONTRIBUTES TO LPS-INDUCED HPAEpiC CELL INJURY BY TARGETING THE MIR-1236-3P/HMGB3 AXIS.

ABSTRACT: Purpose: This study is designed to explore the role and mechanism of circ_0099188 in LPS-engendered HPAEpiC cells. Methods: Circ_0099188, microRNA-1236-3p (miR-1236-3p), and high mobility group box 3 (HMGB3) levels were measured using real-time quantitative polymerase chain reaction. Cell viability and apoptosis were assessed using cell counting kit-8 (CCK-8) and flow cytometry assays. Protein levels of B-cell lymphoma-2 (Bcl-2), Bcl-2 related X protein (Bax), cleaved-caspase 3, cleaved-caspase 9, and HMGB3 were determined using Western blot assay. IL-6, IL-8, IL-1ß, and TNF-α levels were analyzed using enzyme-linked immunosorbent assays. After predicting using Circinteractome and Targetscan, the binding between miR-1236-3p and circ_0099188 or HMGB3 was verified using a dual-luciferase reporter, RNA immunoprecipitation, and RNA pull-down assays. Results: Circ_0099188 and HMGB3 were highly expressed, and miR-1236-3p was decreased in LPS-stimulated HPAEpiC cells. Also, the downregulation of circ_0099188 might overturn LPS-triggered HPAEpiC cell proliferation, apoptosis, and inflammatory response. Mechanically, circ_0099188 is able to affect HMGB3 expression by sponging miR-1236-3p. Conclusion: Circ_0099188 knockdown might mitigate LPS-induced HPAEpiC cell injury by targeting the miR-1236-3p/HMGB3 axis, providing an underlying therapeutic strategy for pneumonia treatment.

Evaluation of effectiveness of eye massage therapy via classification of periocular images.

This paper proposes a method to evaluate the effectiveness of the eye message therapy. The existing methods are via the diagnoses conducted by the medical professions based on the measurements acquired by the optical instruments. However, this approach is very expensive. To address this issue, this paper performs the classification between the periocular images taken before performing the eye massage therapy and those after performing the eye massage therapy to address the above difficulty. First, the median filtering is used to suppress the solitary point noise with preserving the edges of the image without causing the significant blurring. Then, the Canny operator is employed to accurately locate the edges. Next, the circle Hough transform (CHT) is used for performing the iris segmentation. Finally, various classifiers are used to perform the classification. The computer numerical simulation results show that our proposed method can achieve the high classification accuracies. This implies that there is a significant difference on the iris before performing the eye massage therapy and after performing the eye massage therapy. In addition, the comparisons with the state of art Daugman method have been performed. It is found that the classification performance achieved by the CHT based method is better than those achieved by the Daugman method.