Professional Features of IT Specialists’ Activities as Burnout Risk Factors by Alena F. Dzhumagulova, Natalia E. Vodopyanova, Olga O. Gofman, German S. Nikiforov

“…The study revealed possible risk factors for emotional exhaustion, depersonalization, and reduction in personal achievements of IT specialists. …”
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Noise-Based Frequency Spectrum Correction Method Using Interior Point Approach by Guichun Yang, Shengyou Zhou, Han Chen, Huiyue Yang, Weixing Hua, Zhaojie Wu, Yan Chen

“…In challenging scenarios such as short signals and non-integer period sampling, the frequency estimation error is decreased by approximately 10–20% compared to spectral refinement techniques, and the phase estimation error is reduced by 20–28% relative to the energy centroid method. …”
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Development of an automated quality control and assay performance management system for biochemical genetics laboratory by P. Tanpaiboon, D. Salazar, M. Pan, L. Xu, R. Sharma

“…After the first year, this program provided 81 %-time reduction of hands-on time. Conclusion: This program improves assay quality and provides considerable time savings. …”
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Improvement of point cloud feature extraction and alignment algorithms and lidar slam in coal mine underground by Guanghui XUE, Zhenghao ZHANG, Guiyi ZHANG, Ruixue LI

“…Compared to the traditional LIO-SAM algorithm, the improved algorithm showcases higher accuracy in pose estimation and point cloud registration, with a 6.52% improvement in average relative position error and an 18.84% reduction in maximum absolute position error. …”
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Role of carglumic acid in the long-term management of propionic and methylmalonic acidurias by Sufin Yap, Serena Gasperini, Shirou Matsumoto, François Feillet

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TransformerPayne: Enhancing Spectral Emulation Accuracy and Data Efficiency by Capturing Long-range Correlations by Tomasz Różański, Yuan-Sen Ting, Maja Jabłońska

“…This fine-tuning approach enabled up to a 10-fold reduction in training grid size compared to models trained from scratch. …”
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Postprocessing of convection permitting precipitation forecast using UNets by Marcos Esquivel-González, Albano González, Juan Carlos Pérez, Juan Pedro Díaz

“…Although Numerical Weather Prediction (NWP) models form the backbone of modern forecasting, their inherent limitations and the chaotic behavior of atmospheric equations often result in errors, requiring postprocessing to improve accuracy and quantify uncertainties. …”
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Estimates of power supply during the 2023 Gaza humanitarian crisis using night-time light images by Hanrui Cao, Xi Li, Samir Belabbes, Luca Dell’oro, Changyong Dou

“…On 2 December 2023, 24 municipalities were found to have significant reductions in power supply exceeding 90%, and around 95% of buildings had power losses of more than 75%. …”
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Proactive synergistic control of PM2.5 and ozone through urban planning: longitudinal data analysis of 274 Chinese cities from 2005 to 2020 by Sha Li, Bin Zou, Ning Liu, Chenhao Xue, Shenxin Li, Yulong Wang, Yong Xu

“…Projections for the post-regulation scenario revealed a notable reduction in the number of cities exceeding secondary standards for PM2.5 (from 141 to 94) and O3 (from 46 to 31), underscoring the effectiveness of UFIs regulation in synergistic PM2.5 and O3 control. …”
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A Hybrid STL-Deep Learning Framework for Behavioral-Based Intrusion Detection in IoT Environments by Abdullah AlHayan, Jalal Al-Muhtadi

“…The methodology involved principal component analysis (PCA) for dimensionality reduction and careful hyperparameter tuning. The experimental results demonstrate the effectiveness of the hybrid approach, with the STL-LSTM variant achieving superior performance. …”
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Calibration and Testing of Discrete Element Simulation Parameters for Ultrasonic Vibration-Cutter-Soil Interaction Model by Yang Qiao, Shenghai Huang, Chengyi Yang, Songlin Liu, Kailun Wang, Yunpeng Lu, Jiasheng Wang

“…The results showed that the errors between the simulation values and the actual values of the two comparative experiments were less than 5%, and the model calibrated for the three parameters can be used to study the drag reduction mechanism of ultrasonic vibration cutting in soil.…”
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Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder by Shagufta Almas, Fazli Wahid, Sikandar Ali, Ahmed Alkhyyat, Kamran Ullah, Jawad Khan, Youngmoon Lee

“…Unlike traditional CNN approaches, our method offers improved reliability by reducing time complexity, minimizing errors, and enhancing noise reduction. Leveraging a comprehensive dataset from KAGGLE containing 35,126 retinal fundus images representing one healthy (normal) stage and four DR stages, our proposed model demonstrates superior accuracy compared to existing deep learning algorithms. …”
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Study on the Dilatancy Behavior of Coral Sand and Its Influence on Shear Strength Parameters by Yuanqi Shi, Zhenzhong Cao, Liping Jing, Xiangyu Zhu

“…The dilatancy angle is a critical parameter for finite element analyses of sand foundation bearing capacity; the inappropriate selection of this parameter can lead to significant computational errors. In this research, a series of consolidated drained triaxial tests were conducted on coral sand samples from the South China Sea to investigate the dilatancy behavior and its effect on shear strength parameters. …”
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Development and validation of the S-TIMHSS: a quality metric to inform and evaluate interventions to (re)build trust by Samantha B. Meyer, Jerrica Little, Paul R. Ward, Patrick Brown, Michael Calnan

“…Several statistical criteria were used to support item reduction (i.e., correlated errors, measurement invariance, inter-item correlations, factor loadings and communalities, item-total correlation, and skewness), as well as an exercise testing the content validity ratio (CVR). …”
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Toward Model-Independent Separative Training for Deep Hyperspectral Anomaly Detection With Mask Guidance by Xi Su, Xiangfei Shen, Haijun Liu, Lihui Chen, Gemine Vivone, Xichuan Zhou

“…To keep the separability, the mask is periodically updated during the training by binarizing the reconstruction errors. Our training strategy is model-independent, making it possible to apply to different DNN structures. …”
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Denoising Autoencoder and Contrast Enhancement for RGB and GS Images with Gaussian Noise by Armando Adrián Miranda-González, Alberto Jorge Rosales-Silva, Dante Mújica-Vargas, Edwards Ernesto Sánchez-Ramírez, Juan Pablo Francisco Posadas-Durán, Dilan Uriostegui-Hernandez, Erick Velázquez-Lozada, Francisco Javier Gallegos-Funes

“…However, external factors, such as adverse environmental conditions or errors in data transmission, can alter the captured image, leading to information loss. …”
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Prevalence and Causes of Blindness and Vision Impairment in the State of Qatar: Results of a Population-Based Cross-Sectional Study by Mohammed AlThani, Mariam Abdulmalik, Samya AlAbdulla, Kholoud AlMotawaa, Halla Algadi, Muhammad Rabiu, Ian McCormick, Shadi AlAshwal

“…VI was mainly caused by DR, cataract, and uncorrected refractive error. Further reduction in vision loss can be achieved with early detection and improved access using innovation and technology. …”
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Shaping ability of NiTi reciprocating file systems R-motion and waveOne gold in mesial canals of mandibular molars; micro CT study by Mona Alsulaiman, Loai Alsofi, Mey A. Alhabib

“…The RM files exhibited a statistically lower reduction in dentin thickness, indicating better preservation of structural integrity. …”
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Relationship-Based Ambient Detection for Concrete Pouring Verification: Improving Detection Accuracy in Complex Construction Environments by Seungwon Yang, Hyunsoo Kim

“…Experimental validation using 232 test images demonstrated a 12.07% improvement in detection accuracy and a 71% reduction in false positives compared with baseline YOLOv11. …”
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An Improved Galerkin Framework for Solving Unsteady High-Reynolds Navier–Stokes Equations by Jinlin Tang, Qiang Ma

“…To enhance computational efficiency, a novel a posteriori error estimator is developed based on dual residuals. …”
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