Assessment of silent reading ability among glaucoma patients using an eye tracking system with horizontally scrolling text.

PURPOSE: There have been many reports suggesting that glaucoma patients with visual field defects may have decreased silent reading ability compared with individuals without glaucoma. This study used an eye tracking system to assess the ability of glaucoma patients to silently read horizontally scrolling text. METHODS: Glaucoma patients who met the following criteria were recruited: age of ≤ 70 years, at least one eye with a 10 - 2 threshold on standard automated perimetry, a mean deviation value of n 4.0 dB or less, and corrected decimal visual acuity of 0.7 or better in both eyes. Using heat map images created from data from an eye tracking system operating during presentation of a video in which a sentence scrolled horizontally from right to left, reading time, average gaze position, and average fixation time (AFT) were compared between normal eyes (23 individuals, 46 eyes) and glaucomatous eyes (25 patients, 45 eyes). Four styles of sentences (large slow, large fast, small slow, and small fast) were scrolled in the top or bottom sections of the screen. RESULTS: Primary open-angle glaucoma was the most common type of glaucoma in 34 eyes (75.6%), followed by secondary glaucoma in six eyes (13.3%). In comparison with normal eyes, the reading time among right eyes was significantly longer in glaucomatous eyes when reading large fast text that was shown in the bottom area and left glaucomatous eyes showed a leftward shift in gaze position in the top, bottom, or both sections with all four sentence types. There was no significant difference in AFT between glaucomatous and normal eyes across the four sentence styles. In the left eye with inferior visual field loss, text presented at the top consistently showed a correlation with leftward shift of the gaze position across all scenarios. CONCLUSION: Glaucoma patients with central visual field defects in their left eyes may experience greater difficulty reading horizontally scrolling text than individuals with normal eyes.

Deep learning-based flocculation sensor for automatic control of flocculant dose in sludge dewatering processes during wastewater treatment.

In sludge dewatering of most wastewater treatment plants (WWTPs), the dose of polymer flocculant is manually adjusted through direct visual inspection of the flocs without the aid of any instruments. Although there is a demand for the development of automatic control of flocculant dosing, this has been challenging owing to the lack of a reliable flocculation sensor. To address this issue, this study developed a novel image sensor for measuring the degree of flocculation (DF) based on deep learning. Two types of sludge samples were used in the laboratory-scale flocculation tests: excess sludge and mixtures of excess sludge and raw wastewater. To search for a deep learning regression model suitable for DF inference, ten models, including convolutional neural networks, vision transformers, and a multilayer perceptron MLP mixer, were comparatively analysed. The ConvNeXt and MLP mixer models showed the highest accuracies with coefficients of determination (R2) greater than 0.9. The region contributing to the DF inference in the flocculation images was visualised using a modulus-weighted, gradient-weighted regression activation map. A prototype of the flocculation sensor was constructed using an inexpensive EdgeAI device. This device comprises a single-board computer and an integrated graphical processing unit (GPU) and is equipped with a quantised ConvNeXt model. The maximum inference speed of the sensor was 12.8 frames per second (FPS). The flocculation control tests showed that the sensor could control the DF to the target value by adjusting the polymer flocculant dose. Therefore, the flocculation sensor can provide a data-driven approach to the management of the flocculation process, thereby facilitating the automation of WWTPs.

Novel insight into nicotinamide adenine dinucleotide and related metabolites in cancer patients undergoing surgery.

Nicotinamide adenine dinucleotide (NAD +) plays a pivotal role in numerous cellular functions. Reduced NAD + levels are postulated to be associated with cancer. As interest in understanding NAD + dynamics in cancer patients with therapeutic applications in mind grows, there remains a shortage of comprehensive data. This study delves into NAD + dynamics in patients undergoing surgery for different digestive system cancers. This prospective study enrolled 99 patients with eight different cancers. Fasting blood samples were obtained during the perioperative period. The concentrations of NAD + , nicotinamide mononucleotide (NMN), and nicotinamide riboside were analyzed using tandem mass spectrometry. After erythrocyte volume adjustment, NAD + remained relatively stable after surgery. Meanwhile, NMN decreased the day after surgery and displayed a recovery trend. Interestingly, liver and pancreatic cancer patients exhibited poor postoperative NMN recovery, suggesting a potential cancer type-specific influence on NAD + metabolism. This study illuminated the behavior of NAD + in surgically treated cancer patients. We identified which cancer types have particularly low levels and at what point depletion occurs during the perioperative period. These insights suggest the need for personalized NAD + supplementation strategies, calibrated to individual patient needs and treatment timelines. Clinical trial registration jRCT1020210066.