FACTORS RELATED TO EYE FATIGUE IN CUSTOMER SERVICE EMPLOYEES 2022 by Arni Putri Gunawan, Eka Cempaka Putri, Izzatu Millah, Rini Handayani

“…Background: Eye fatigue is a symptom caused by excessive efforts of the visual system, which is in less than perfect condition to obtain visual acuity. …”
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DESAIN DIDAKTIS TAHAPAN KEMAMPUAN DAN DISPOSISI BERPIKIR REFLEKTIF MATEMATIS BERDASARKAN GAYA BELAJAR by Hepsi Nindiasari, Novaliyosi Novaliyosi, Aan Subhan

“…Data yang diperoleh dianalisis secara deskriptif kualitatif dan kuantitatif. …”
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Nursing-centered development of an AI-based decision support system in pressure ulcer and incontinence-associated dermatitis management - a mixed methods study by Khalid Majjouti, Vanessa Priester, Michaela Tapp-Herrenbrueck, Alexander Brehmer, Hannah Pinnekamp, Michael Aleithe, Uli Fischer, Jens Kleesiek, Bernadette Hosters

“…The validated MDS encompasses 18 wound-related and four aetiological categories, including visual and contextual patient data. The AI system consequently integrates wound images with categorical patient information. …”
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Advances in vegetation mapping through remote sensing and machine learning techniques: a scientometric review by Charles Matyukira, Paidamwoyo Mhangara

“…Visualisations using VOSviewer reveal interconnected themes, highlighting topics like land use, climate change, and aboveground biomass. …”
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Comparative analysis of Sentinel-2 and PlanetScope imagery for chlorophyll-a prediction using machine learning models by Eden T. Wasehun, Leila Hashemi Beni, Courtney A. Di Vittorio, Christopher M. Zarzar, Kyana R.L. Young

“…Consequently, spatiotemporal maps of Chl-a concentration across the reservoir were generated using the best-performing machine learning models: XGBoost for S2 data and SVR for PS data. These maps were created to visualize the distribution and variation of Chl-a concentrations over time and space. …”
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Understanding Patient and Physiotherapist Requirements for a Personalized Automated Smartphone Telemonitored App for Posttotal Knee Arthroplasty Rehabilitation: Qualitative Study by Eleanor Shuxian Chew, Aileen Eugenia Scully, Samanth Shi-Man Koh, Ee-Lin Woon, Juanita Krysten Miao-Shi Low, Yu-Heng Kwan, John Wei-Ming Tan, Yong-Hao Pua, Celia Ia-Choo Tan, Luke Jonathan Haseler

“…Two reviewers (ESC and SSK) independently analyzed the data using thematic analysis, with data triangulation achieved through cross-checking of data sources by 3 reviewers (ESC, SSK, and AES). …”
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FetDTIAlign: A deep learning framework for affine and deformable registration of fetal brain dMRI by Bo Li, Qi Zeng, Simon K. Warfield, Davood Karimi

“…However, these studies depend on precise spatial alignment of data across scans and subjects, which is particularly challenging in fetal imaging due to the low data quality, rapid brain development, and limited anatomical landmarks for accurate registration. …”
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Baseline characteristics associated with the first year treatment interval of intravitreal faricimab in neovascular age-related macular degeneration (nAMD) by Sobha Sivaprasad, Philippe Margaron, Aachal Kotecha, Thibaud Mathis, Parth Shah, Neala Rafijah, Yannan Tang

“…A data-driven tree model based on CST was fitted, producing CST subgroups of low, middle and high ranges. …”
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Hierarchical Feature Fusion and Enhanced Attention Mechanism for Robust GAN-Generated Image Detection by Weinan Zhang, Sanshuai Cui, Qi Zhang, Biwei Chen, Hui Zeng, Qi Zhong

“…As a result, the generated fake images are becoming more difficult to visually distinguish from real ones. Existing deepfake detection methods primarily rely on training models with specific datasets. …”
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Comparing the Effectiveness of Acceptance and Commitment Therapy and Paradoxical Timetable Therapy on Worry in Individuals with Social Anxiety Disorder by Saeid Salehi, Shahram Vaziri, Maryam Nasri

“…The Penn State Worry Questionnaire (PSWQ) and Social Anxiety Questionnaire (SAQ) were used for data collection. Data were analyzed using single-subject analysis, including visual analysis of charts, trend indices, stability, percentage of non-overlapping data (PND), percentage of overlapping data, and recovery percentage. …”
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Digital Health Approaches to Measles Surveillance in the Oltenia Region (January 2023 – June 2024) by Ana Maria BOLDEA, Alexandra ROTARU ZAVALEANU, Mircea SERBANESCU

“… Background: Digital health technologies have transformed epidemiological surveillance, enabling real-time data collection, improved case tracking, and data-driven public health interventions. …”
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Barriers and facilitators of digital interventions use to reduce loneliness among older adults: a protocol for a qualitative systematic review by Maritta Välimäki, Xiaoyang Li, Shuang Wu, Hui Feng, Hongyu Zhang, Jiahui Nan, Xianmei Zeng, Yunzhu Duan

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Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions. by Eftim Zdravevski, Biljana Risteska Stojkoska, Marie Standl, Holger Schulz

“…Classification was performed using only data from the hip accelerometer, using only data from ankle accelerometer and using data from both accelerometers.…”
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Estimation of the Household Debt-to-Income Ratios in Municipalities of Russia’s Sverdlovsk Oblast in 2021-2022 Based on the Cartographic Method by Andrey Z. Marsiy, Maxim M. Vorobyev

“…A strong correlation between the data from DOM.RF and the data from reports from all three credit bureaus was found only in the Yekaterinburg urban district. …”
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Low-level laser therapy for nipple trauma and pain during breastfeeding: systematic review and meta-analysis by Maria Victória Candida Gaitero, Ticiana Aparecida Alves de Mira, Edna Jéssica Lima Gondim, Simony Lira do Nascimento, Fernanda Garanhani Surita

“…The risk of bias in the studies was evaluated. Data synthesis: Pain was measured using the visual analog scale (VAS). …”
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Navigating ALICE: Advancements in Deployable Docking and Precision Detection for AUV Operations by Yevgeni Gutnik, Nir Zagdanski, Sharon Farber, Tali Treibitz, Morel Groper

“…This work introduces a comprehensive docking solution featuring the following two key innovations: (1) a novel deployable docking station (DDS) designed for rapid deployment from vessels of opportunity, operating without active acoustic transmitters; and (2) an innovative sensor fusion approach that combines the AUV’s onboard forward-looking sonar and camera data. The DDS comprises a semi-submersible protective frame and a subsurface, heave-compensated docking component equipped with backlit visual markers, an electromagnetic (EM) beacon, and an EM lifting device. …”
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On the non-parametric changepoint detection of flow regimes in cyclone Amphan by Venkat Shesu Reddem, Venkata Jampana, Ravichandran Muthalagu, Venkateswara Rao Bekkam, Pattabhi Rama Rao Eluri, Srinivasa Kumar Tummala

“…The non-parametric changepoint method was applied to time series of near-surface winds, sea surface temperature, sea level pressure, air temperature and salinity and the segmentations are consistent with visual observations. Identifying different data segments and their simple parameterization is a crucial component and relating them to different flow regimes is useful for the development of parametrization schemes in weather and climate models. …”
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Latent space improved masked reconstruction model for human skeleton-based action recognition by Enqing Chen, Xueting Wang, Xin Guo, Ying Zhu, Dong Li

“…In recent years, masked autoencoder (MAE) has been used in various fields due to its powerful self-supervised learning ability and has achieved good results in masked data reconstruction tasks. However, in visual classification tasks such as action recognition, the limited ability of the encoder to learn features in the autoencoder structure results in poor classification performance. …”
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Development and Implementation of a Machine Learning‐Based Flood Forecasting System in Kasese District, Uganda by Edward Miiro, Ismael Kato, Zuhra Nantege, Samuel Ssendi, Khasim Bassajjalaba

“…The data were then summarized in tables and analyzed using Visual Network Analysis (VNA) with Word Clouds and Gephi Open Source Software. …”
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AI-Based Damage Risk Prediction Model Development Using Urban Heat Transport Pipeline Attribute Information by Sungyeol Lee, Jaemo Kang, Jinyoung Kim, Myeongsik Kong

“…This study analyzed the probability of damage in heat transport pipelines buried in urban areas using pipeline attribute information and damage history data and developed an AI-based predictive model. …”
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