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Context: Convergence dysfunction following concussion is common. Near point of convergence (NPC) is a quick and easy assessment that may detect oculomotor dysfunction such as convergence insufficiency (CI), but NPC measurements are rarely reported. Convergence dysfunction is treatable in otherwise healthy patients; the effectiveness of oculomotor therapy following concussion is unclear.
Objectives: The purpose of this article was to systematically review the literature and answer the following clinical questions: (1) Is performance on NPC negatively affected in patients diagnosed with a concussion compared with pre-injury levels or healthy controls? (2) In patients diagnosed with concussion, what is the effect of oculomotor/vision therapy on NPC break measurements?
Evidence Acquisition: The search was conducted in CINAHL, SPORTDiscus, MEDLINE, and PubMed using terms related to concussion, mild traumatic brain injury, convergence, vision, and rehabilitation. Literature considered for review included original research publications that collected measures of NPC break in concussion patients, with a pretest-posttest comparison or comparison with a healthy control group. A literature review was completed; 242 relevant articles were reviewed, with 18 articles meeting criteria for inclusion in the review.
Evidence Synthesis: Articles were categorized according to the clinical question they addressed. The patient or participant sample (number, sex, age, and health status), study design, instrumentation, or intervention used, and main results were extracted from each article.
Conclusions: The authors' main findings suggest that there is a moderate level of evidence that patients have impaired NPC up to several months postconcussion, and a low level of evidence that impairments can be successfully treated with oculomotor therapy. These findings should be cautiously evaluated; the studies are limited by weak/moderate quality, small sample sizes, varied methodology, and nonrandomized treatment groups. Future research should explore factors affecting convergence postconcussion and include randomized, controlled studies to determine if performing vision therapy improves visual measures and promotes recovery.
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http://dx.doi.org/10.1123/jsr.2019-0428 | DOI Listing |
J Appl Stat
February 2025
RBS, International University of Rabat, Technopolis, Sala-Al-Jadida, Morocco.
The paper first highlights important drawbacks and biases related to the common use of time-rescaling to assess the goodness-of-fit (Gof) of self-exciting temporal point process (SETPP) models. Then it presents a new predictive time-rescaling approach leading to an asymptotically unbiased Gof framework for general SETPPs in the case of single observed trajectories. The predictive approach focuses on forecasting accuracy and addresses the bias problem resulting from the plugged-in estimated parameters.
View Article and Find Full Text PDFNat Rev Clin Oncol
September 2025
German Cancer Consortium (DKTK), Partner Site Essen, Essen, Germany.
Targeted radionuclide therapy (TRT) is a cutting-edge treatment approach in oncology that combines the molecular precision of targeted agents with the effect of radiotherapy to selectively deliver cytotoxic radiation to cancer cells. Research efforts from the past few decades have led to a diverse molecular landscape of TRT and have provided lessons for further rational development of targeted radiopharmaceuticals and expansion of the clinical applications of this treatment modality. In this Review, we discuss TRT in the context of therapeutic approaches currently available in oncology, describe the broad range of established and emerging targets for TRT including innovative approaches to exploit vulnerabilities presented by the tumour microenvironment, and address the challenges for clinical translation and molecular optimization.
View Article and Find Full Text PDFJ Forensic Leg Med
August 2025
Laboratory of Criminalistics, Adam Mickiewicz University in Poznań, al. Niepodległości 53, Poznań 61-714, Poland; Center for Advanced Technologies, Adam Mickiewicz University in Poznań, ul. Uniwersytetu Poznańskiego 10, Poznań 61-614, Poland.
This study examines the reliability of fingerprint experts in assessing the individualization value of minutiae during the analysis of latent fingerprint traces. Despite the widespread use of fingerprint evidence in criminal investigations, growing concerns about examiner variability and the lack of verification protocols have prompted critical scrutiny of forensic practices. In this study, 30 Polish fingerprint experts were asked to identify and evaluate seven minutiae in two fingerprint traces of differing quality.
View Article and Find Full Text PDFJ Med Internet Res
September 2025
Center for Healthy Minds and Department of Counseling Psychology, University of Wisconsin-Madison, Madison, WI, United States.
Background: Ecological momentary assessment (EMA) is increasingly being incorporated into intervention studies to acquire a more fine-grained and ecologically valid assessment of change. The added utility of including relatively burdensome EMA measures in a clinical trial hinges on several psychometric assumptions, including that these measure are (1) reliable, (2) related to but not redundant with conventional self-report measures (convergent and discriminant validity), (3) sensitive to intervention-related change, and (4) associated with a clinically relevant criterion of improvement (criterion validity) above conventional self-report measures (incremental validity).
Objective: This study aimed to evaluate the reliability, validity, and sensitivity to change of conventional self-report versus EMA measures of rumination improvement.
IEEE Trans Neural Netw Learn Syst
September 2025
In essence, reinforcement learning (RL) solves optimal control problem (OCP) by employing a neural network (NN) to fit the optimal policy from state to action. The accuracy of policy approximation is often very low in complex control tasks, leading to unsatisfactory control performance compared with online optimal controllers. A primary reason is that the landscape of value function is always not only rugged in most areas but also flat on the bottom, which damages the convergence to the minimum point.
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