AIM: To investigate a novel phacoemulsification system “EVA NEXUS” (D.O.R.C., Dutch Opthalmic Research Center) in comparison to the existing system “EVA” in clinical use. And to compare both phacoemulsification systems in terms of efficiency, safety and postoperative inflammatory activity. METHODS: In this study standardized cataract surgery was performed on both eyes of the study participant, using the “EVA system” (control group, n=20) on one eye and the “EVA NEXUS system” (intervention group, n=20) on the other eye. Only patients with cataract LOCS Grading 1-3 and no accompanying eye diseases were included in this study. A total of 20 patients were included in this study, with each treatment arm including 20 eyes. During surgery a 0.1 mL aqueous humor sample was collected 1min after phacoemulsification to measure the total prostaglanin E2 concentrations using an enzyme-linked immunosorbent assay. The endothelial cell count, visual and refractive outcomes, and anterior chamber flare were evaluated preoperatively, and 1d, 1wk, and 3mo postoperatively. RESULTS: There were no statistically significant differences between both groups regarding intraoperative safety parameters including effective phacoemulsification time (P=0.904), balanced saline solution flow (P=0.701) and total surgery time (P=0.565). Postoperative prostaglandin E2 levels, anterior chamber flare as well as endothelial cell loss tended to be lower in the NEXUS-Group, however not being statistically significant (P=0.718; 0.164; 0.486). Both systems provided similar clinical outcomes, regarding best corrected visual acuity and refractive parameters, showing no statistically significant differences between both groups. CONCLUSION: Both systems show a high level of safety and efficency with similar results in terms of safety parameters including postoperative inflammatory activity and endothelial cell loss as well as visual and refractive outcomes. Although statistically not significant, the EVA NEXUS system tends to cause less postoperative inflammation with lower prostaglandin E2 levels and lower anterior chamber flare values.

AIM: To analyze the changes in scientific output relating to Leber congenital amaurosis (LCA) and forecast the study trends in this field. METHODS: All of the publications in the field of LCA from 2002 to 2022 were collected from Web of Science (WOS) database. We analyzed the quantity (number of publications), quality (citation and H-index) and development trends (relative research interest, RRI) of published LCA research over the last two decades. Moreover, VOSviewer software was applied to define the co-occurrence network of keywords in this field. RESULTS: A total of 2158 publications were ultimately examined. We found that the focus on LCA kept rising and peaked in 2015 and 2018, which is consistent with the development trend of gene therapy. The USA has contributed most to this field with 1162 publications, 56 674 citations and the highest H-index value (116). The keywords analysis was divided into five clusters to show the hotspots in the field of LCA, namely mechanism-related, genotype-related, local phenotype-related, system phenotype-related, and therapy-related. We also identified gene therapy and anti-retinal degeneration therapy as a major focus in recent years. CONCLUSION: Our study illustrates historical research process and future development trends in LCA field. This may help to guide the orientation for further clinical diagnosis, treatment and scientific research.

Cataract is the main cause of visual impairment and blindness worldwide while the only effective cure for cataract is still surgery. Consecutive phacoemulsification under topical anesthesia has been the routine procedure for cataract surgery. However, patients often grumbled that they felt more painful during the second-eye surgery compared to the first-eye surgery. The intraoperative pain experience has negative influence on satisfaction and willingness for second-eye cataract surgery of patients with bilateral cataracts. Intraoperative ocular pain is a complicated process induced by the nociceptors activation in the peripheral nervous system. Immunological, neuropsychological, and pharmacological factors work together in the enhancement of intraoperative pain. Accumulating published literatures have focused on the pain enhancement during the second-eye phacoemulsification surgeries. In this review, we searched PubMed database for articles associated with pain perception differences between consecutive cataract surgeries published up to Feb. 1, 2024. We summarized the recent research progress in mechanisms and interventions for pain perception enhancement in consecutive second-eye phacoemulsification cataract surgeries. This review aimed to provide novel insights into strategies for improving patients’ intraoperative experience in second-eye cataract surgeries.

Owing to the rapid development of modern computer technologies, artificial intelligence (AI) has emerged as an essential instrument for intelligent analysis across a range of fields. AI has been proven to be highly effective in ophthalmology, where it is frequently used for identifying, diagnosing, and typing retinal diseases. An increasing number of researchers have begun to comprehensively map patients’ retinal diseases using AI, which has made individualized clinical prediction and treatment possible. These include prognostic improvement, risk prediction, progression assessment, and interventional therapies for retinal diseases. Researchers have used a range of input data methods to increase the accuracy and dependability of the results, including the use of tabular, textual, or image-based input data. They also combined the analyses of multiple types of input data. To give ophthalmologists access to precise, individualized, and high-quality treatment strategies that will further optimize treatment outcomes, this review summarizes the latest findings in AI research related to the prediction and guidance of clinical diagnosis and treatment of retinal diseases.

ABSTRACT Higher education institutions have always been changing concurrently with larger societal developments. This paper addresses digital transformation in higher education (DTHE) during a disruptive crisis, e.g., the COVID-19 pandemic. Understanding different perspectives on DTHE during the pandemic is important, as the meaning allocated to the unfolding events holds the potential to shape future decision making. We conducted a critical review of 22 academic papers published in the first year of the pandemic. A thematic analysis revealed divergent perspectives of how the pandemic was affecting DTHE, with the material pointing in the direction of the pandemic as an accelerator of ongoing changes in higher education. The papers unanimously understood DTHE as multi-dimensional and as an ongoing, long-time process entangled with digital transformations in other sectors already initiated before the pandemic. Although this review is limited to research carried out during the first year of the pandemic, further studies might address a longer time-period, by studying changes in higher education and research in consequence of a disruptive crisis.

Despite the aging of those in our prisons and the increasing numbers of older incarcerated individuals returning home, much of the research on reentry challenges focuses on the experiences of individuals under the age of 50. Using in-depth interviews with 19 formerly incarcerated individuals who were released after the age of 50, we examined their reentry experience, particularly in regards to finding employment. We found that while this population experienced barriers to finding a job that were similar to their younger counterparts (e.g., stigma, the lack of proper documentation, etc.), they also struggled to find employment due to age-related factors like deteriorating health, ageism, and digital illiteracy. The results from this study can help policymakers better prepare for and appropriately anticipate the needs of its older returning citizens, a group often left out of most reentry discussions.

While library professionals working in academic contexts are likely to have knowledge of ‘predatory’ journals and related implications for guiding student information seeking, school and public library professionals may be less familiar with this phenomenon. This article draws on a broad body of research to explore the factors that enable predatory journals to thrive, some of which arise from inequities in current ‘legitimate’ academic publishing practices. While this article highlights the complexities involved when guiding students and clients to make robust information seeking choices in relation to predatory journals, some key implications for professional practice emerge from the research.

Starting a new job as a academic librarian is tough. It can be more so whenever the new liaison librarian doesn’t have the resources they need to be successful. In this article, the authors discuss using reflective narratives to not only critique a previous onboarding document within the Research and Instruction Services Department at Louisiana State University but to also offer suggestions on ways to improve a system in which they are new hires. Authors anonymized responses from a newly hired cohort of librarians and working alongside the department head, evaluated best practices, and offered evidence-based recommendations on ways to improve the system for all future hires.

This column reflects the author’s conversation with the University Library Dean about ongoing assessments and future directions. It raises a key question for assessment professionals and library leadership: “As the current assessment is proceeding according to plan, should we continue with the existing approach or explore potential changes?” To address this, the author will present the background of assessments at a public research university, highlighting outcomes and challenges using current examples. Additional questions will be provided to encourage reflection on assessment efforts at their institutional library.

ABSTRACT Accurate identification of tree species is the foundation of forest resource surveys and an important research field in forestry remote sensing. The introduction of the PointNet++ deep learning network to point cloud processing provides a new approach for tree species identification. This network can directly compute and train unordered point clouds, greatly reducing the manual selection and extraction process of feature data. However, how to establish a high-quality single tree point cloud dataset is a key issue to be solved. In this study, a 2.5-ha temperate coniferous broad-leaved mixed forest located in Mao’er Mountain Experimental Forest Farm in Heilongjiang Province, China, was investigated. The unmanned aerial vehicle (UAV) RGB image and LiDAR synchronous observation system were used to obtain the true-colour point clouds of the forest. Combining upsampling and downsampling methods, a dataset containing coordinates, normal vectors, RGB, and intensity information was constructed from the original point cloud. Comparative experiments were designed based on resampling algorithms, number of sampling points, feature information, and time cost to find the optimal feature information and processing methods for tree species classification. The results showed that the accuracy of tree species classification by using PointNet++ was greatly improved after adding RGB and point cloud intensity information. The classification accuracy was about 5% higher than that using only coordinate data sets. In addition, the combination of PU-Net downsampling network based on point cloud completion and geometric upsampling method achieved the highest classification accuracy (OA = 0.944) when the number of single trees point cloud was 3072. The algorithm also took a relatively shorter running time. This study demonstrated that the introduction of multi-feature information and the optimization of resampling method can provide new solutions for tree species classification based on the PointNet++ deep learning network.