<p>This study examines the effectiveness of ecolinguistic texts in enhancing environmental vocabulary acquisition among English Education students at Universitas Pembinaan Masyarakat Indonesia (UPMI). Employing a quasi experimental pre-test post-test control group design, the study involved 60 second-year students divided equally into experimental and control groups. The experimental group received instruction through ecolinguistic texts integrating environmental themes, while the control group used conventional English materials. Data were analyzed using paired-sample and independent-sample t-tests. The findings reveal a statistically significant improvement in environmental vocabulary mastery in the experimental group compared to the control group. These results suggest that ecolinguistic texts provide meaningful contextualization, support semantic networking, and foster deeper lexical engagement. The study contributes to sustainability-oriented English language teaching and supports the integration of ecolinguistics into EFL curricula as part of Education for Sustainable Development (ESD).</p>

The rapid growth of artificial intelligence (AI) in education is a factor introducing significant changes in teaching English as a foreign language (EFL). Many AI-based applications, including chatbots, automated feedback systems, and adaptive platforms, offer the possibility to develop more interactive and personalized learning. Nonetheless, the implementation of AI will be successful if teachers are willing to learn, adapt, and implement it well. The study sought to see the extent to which teachers in Indonesia who teach English are prepared to adopt AI technology in learning activities. The areas studied were teachers' awareness, perceived benefits, difficulties, and flexibility towards AI. The results of this study to provide an initial picture of teachers' willingness to be exposed to digital transformation and can serve as a basis for developing more relevant training and education policies.

This study investigated the functional visual impact of simulated astigmatic blur using cylindrical powers of 0.50 D, 1.00 D, and 2.00 D, applied in against-the-rule (ATR), with-the-rule (WTR), and oblique (OBL) axes, in adults aged 18 to 35 years with no known ocular disease. Forty-five young adults were randomly divided into three groups (n = 15). Binocular best-corrected visual acuity (distance and near) was recorded in logMAR using the ETDRS acuity chart at 5 m and 40 cm, supported by acuity optotypes displayed in a Bailey–Lovie chart format. Depth-fusion and disparity discrimination were measured using polarized stereopsis thresholds with the Randot® Stereo Test from Stereo Optical Company, Inc. Reading performance was quantified as a continuous binocular rate metric (words per minute) using the validated Portuguese digital reading curve provided by the MNREAD iPad App by Precision Vision at 40 cm. The results were preserved verbatim as follows: Distance and near BCVA were significantly affected by ATR astigmatisms (−0.50 + 1.00 90°, −1.00 + 2.00 90°), WTR astigmatisms (−0.25 + 0.50 180°, −0.50 + 1.00 180°, −1.00 + 2.00 180°), and OBL astigmatisms (OD: −0.25 + 0.50 45°, OS: −0.25 + 0.50 135°; OD: −0.50 + 1.00 45°, OS: −0.50 + 1.00 135°; OD: −1.00 + 2.00 45°, OS: −1.00 + 2.00 135°). Stereopsis was significantly influenced by high-power OBL astigmatism (−1.00 + 2.00). Reading rate was also negatively impacted by OBL astigmatisms ≥1.00 D. Simulated astigmatism of different powers and axes reduced high-contrast distance and near BCVA, stereopsis, and reading speed in adults aged 18–35 years. Higher-power astigmatism, particularly along oblique axes, caused the most significant functional impairment.

We previously developed machine learning (ML) models for predicting cycloplegic spherical equivalent refraction (SER) and myopia using non-cycloplegic data and following a standardized protocol (cycloplegia with 0.5% tropicamide and biometry using NIDEK A-scan), but the models’ performance may not be generalizable to other settings. This study evaluated the performance of ML models in an independent cohort using a different cycloplegic agent and biometer. Chinese students (N = 614) aged 8–13 years underwent autorefraction before and after cycloplegia with 0.5% tropicamide (n = 505) or 1% cyclopentolate (n = 109). Biometric measures were obtained using an IOLMaster 700 (n = 207) or Optical Biometer SW-9000 (n = 407). ML models were evaluated using R2, mean absolute error (MAE), sensitivity, specificity, and area under the ROC curve (AUC). The XGBoost model predicted cycloplegic SER very well (R2 = 0.95, MAE (SD) = 0.32 (0.30) D). Both ML models predicted myopia well (random forest: AUC 0.99, sensitivity 93.7%, specificity 96.4%; XGBoost: sensitivity 90.1%, specificity 96.8%) and accurately predicted the myopia rate (observed 62.9%; random forest: 60.6%; XGBoost: 58.8%) despite heterogeneous cycloplegia and biometry factors. In this independent cohort of students, XGBoost and random forest performed very well for predicting cycloplegic SER and myopia status using non-cycloplegic data. This external validation study demonstrated that ML may provide a useful tool for estimating cycloplegic SER and myopia prevalence with heterogeneous clinical parameters, and study in additional populations is warranted.

Background: Transient intraocular pressure (IOP) elevations frequently occur after cataract surgery and may raise concerns, especially in patients susceptible to glaucomatous damage or pressure-related complications. These IOP spikes have also been linked to postoperative discomfort and headache. Oral acetazolamide is often used prophylactically, despite its known systemic side effects. Objectives: To evaluate the clinical benefit of routine prophylactic oral acetazolamide in reducing IOP after uncomplicated phacoemulsification performed with an anterior chamber maintainer (ACM). Methods: In this retrospective case–control study, 196 eyes from 196 patients were included. All underwent standard phacoemulsification with an ACM. Patients either received oral acetazolamide postoperatively (n = 98) or no IOP-lowering medication (n = 98). IOP was measured preoperatively, and on postoperative days one and seven. Results: On day one, mean IOP was 14.0 ± 3.8 mmHg in the acetazolamide group versus 15.4 ± 3.8 mmHg in controls (p < 0.005). By day seven, IOP was identical in both groups (13.5 mmHg), with no statistically significant difference (p = 0.95). No participant in either group reported headache or serious adverse effects, though 10% in the acetazolamide group experienced mild, transient systemic symptoms. Conclusions: In low-risk patients undergoing uneventful cataract surgery with ACM, routine use of oral acetazolamide yields only a modest, short-lived IOP reduction without evident clinical benefit. Its use may be unnecessary in this setting, though targeted prophylaxis could be considered for high-risk individuals.

Dry eye disease (DED) is a hallmark of primary Sjögren’s disease (SjD) and often resists conventional treatments like lubricant eye drops. Insulin nanoemulsions offer a potential solution by improving drug penetration and retention on the ocular surface. In animal models, insulin has shown benefits in promoting tear secretion and corneal healing. This study evaluated the safety and efficacy of insulin nanoemulsion eye drops (20 IU/mL, three times daily for 30 days) in patients with SjD. Thirty-two patients were randomized in a double-masked design to receive either insulin or placebo drops. Symptoms (assessed by OSDI questionnaire) and objective measures (tear film breakup time, corneal and conjunctival staining, and Schirmer Test) were recorded at baseline, after 4 weeks of treatment, and at a 4-week follow-up. Twenty-three participants completed the study. Both groups showed significant improvement in symptoms and objective signs after treatment (p < 0.05), but no significant differences were found between the insulin and placebo groups. No clinically relevant adverse effects were reported. Insulin nanoemulsion eye drops are safe for SjD patients, but their therapeutic advantage remains unclear. Further studies with larger samples, extended follow-up, and dose adjustments are needed to better understand their potential.

Pupil cycle time (PCT) estimates the dynamics of a biofeedback loop established between pupil size and stimulus luminance, size or colour. The PCT is useful for probing the functional integrity of the retinopupillary circuits, and is therefore potentially applicable for assessing the effects of damage due to retinopathies or neuropathies. In previous studies, PCT was measured by manually counting the number of pupil oscillations during a fixed period to calculate the PCT. This method is scarce, requires a good expertise and cannot be used to estimate several PCT parameters, such as the oscillation amplitude or variability. We have developed a computerised setup based on eye-tracking that expands the possibilities of characterising PCT along several dimensions: oscillation frequency and regularity, amplitude and variability, which can be used with a large palette of stimuli (different colours, sizes, shapes or locations), and further allows measuring blinking frequency and eye movements. We used this method to characterise the PCT in young control participants as well as in patients with several pathologies, including age-related macular degeneration (AMD), diabetic retinopathy (DR), retinitis pigmentosa (RP), Stargardt disease (SD), and Leber hereditary optic neuropathy (LHON). We found that PCT is very regular and stable in young healthy participants, with little inter-individual variability. In contrast, several PCT features are altered in older healthy participants as well as in ocular diseases, including slower dynamics, irregular oscillations, and reduced oscillation amplitude. The distinction between patients and healthy participants based on the calculation of the area under the curve of the receiver operating characteristics (AUC of ROC) were dependent on the pathologies and stimuli (0.7 < AUC < 1). PCT nevertheless provides relevant complementary information to assess the physiopathology of ocular diseases and to probe the functioning of retino-pupillary circuits.

Scene Perception and Event Comprehension Theory (SPECT) posits that understanding picture stories depends upon a coordination of two processes: (1) integrating new information into the current event model that is coherent with it (i.e., mapping) and (2) segmenting experiences into distinct event models (i.e., shifting). In two experiments, we investigated competing hypotheses regarding how viewers coordinate the mapping process of bridging inference generation and the shifting process of event segmentation by manipulating the presence/absence of Bridging Action pictures (i.e., creating coherence gaps) in wordless picture stories. The Computational Effort Hypothesis says that experiencing a coherence gap prompts event segmentation and the additional computational effort to generate bridging inferences. Thus, it predicted a positive relationship between event segmentation and explanations when Bridging Actions were absent. Alternatively, the Coherence Gap Resolution Hypothesis says that experiencing a coherence gap prompt generating a bridging inference to close the gap, which obviates segmentation. Thus, it predicted a negative relationship between event segmentation and the production of explanations. Replicating prior work, viewers were more likely to segment and generate explanations when Bridging Action pictures were absent than when they were present. Crucially, the relationship between explanations and segmentation was negative when Bridging Action pictures were absent, consistent with the Coherence Gap Resolution Hypothesis. Unexpectedly, the relationship was positive when Bridging Actions were present. The results are consistent with SPECT’s assumption that mapping and shifting processes are coordinated, but how they are coordinated depends upon the experience of a coherence gap.

The university population has high visual demands. It is therefore important to assess the prevalence of symptoms in these subjects, which may affect their academic performance. In this cross-sectional study, a randomized sample of 252 subjects from a university answered the Convergence Insufficiency Symptom Survey (CISS) questionnaire. In addition, questions were asked about blurred vision during and after near tasks, the number of hours per day spent in near vision, and whether or not they wore glasses. Furthermore, 110 subjects underwent an eye exam, including a refraction and accommodation assessment. The mean age of the subjects was 28.79 ± 11.36 years, 62.3% reported wearing glasses, and on average 7.20 ± 2.92 hours/day was spent in near vision. The mean of the CISS score was 18.69 ± 9.96, and according to its criteria, 38% of the subjects were symptomatic. Some symptoms were significantly (p < 0.05) more frequent in subjects wearing glasses. Accommodative dysfunctions were present in 30.9% of the subjects, the most common being insufficiency of accommodation. We emphasise the importance of assessing symptomatology during the clinical examination in this group of subjects, as they spend many hours a day in near vision, as well as assessing accommodation, binocular vision, and the ergonomic work environment, which may be at the origin of the symptoms, in addition to the need to wear glasses.