Image Guidance in Radiation Therapy: Techniques and Applications by Shikha Goyal, Tejinder Kataria

“…At present, several techniques that accomplish these goals impeccably have been developed, though all of them have their limitations. There is no single method available that eliminates treatment-related uncertainties without considerably adding to the cost. …”
Get full text

Effect of cooling temperature on machinability and hole quality in cryogenic drilling of CFRP/Ti stacks by Shunuan Liu, Zhijian Meng, Shiming Liang, Tao Wang, Hao Niu, Bin Luo, Kaifu Zhang

“…Compared to drilling at room temperature, the most significant improvement in hole quality is achieved at a cooling temperature of −25 °C, with a maximum reduction of 8.24 % in entrance delamination factor and 46.15 % in cylindricity error. …”
Get full text

Optimized Type-2 Fuzzy Logic Control for Low-Speed Vehicle Pedal Pressing Automation Using Hybrid Spiral Sine Cosine Algorithm by Azrul Azim Abdullah Hashim, Nor Maniha Abdul Ghani, Salmiah Ahmad, Mohd Ruzaini Hashim, Noor Zirwatul Ahlam Naharuddin, Addie Irawan

“…The results presented in this paper prove the fact that the analyzed Type 2 FLC optimized by the SSCA method performs better than the traditional Type 1 FLC in terms of the key metrics, with improvements of 32.4242% in overshoot, 0.364 seconds in settling time, and a reduction of 0.002009 in steady-state error at 2 km/h reference speed. …”
Get full text

Detecting Anomalies in Attributed Networks Through Sparse Canonical Correlation Analysis Combined With Random Masking and Padding by Wasim Khan, Mohammad Ishrat, Ahmad Neyaz Khan, Mohammad Arif, Anwar Ahamed Shaikh, Mousa Mohammed Khubrani, Shadab Alam, Mohammed Shuaib, Rajan John

“…Unlike previous works that primarily focus on either dimensionality reduction or attribute sparsity independently, our method synergizes these aspects to enhance detection performance. …”
Get full text

Clinical Outcome Scores Post Medial Unicompartmental Knee Arthroplasty: A Comparison of the MAKO Robotic Arm versus the Oxford Conventional Approach by Tan CMP, Shih SSW, Ravichandran V, Quah ESH, Kunnasegaran R

“…Robotic-assisted UKA offers more accurate implant positioning, soft tissue balancing, improved lower limb alignment, and a reduction in surgical error. There are few studies studying functional outcomes post robotic-assisted UKA. …”
Get full text

Effect of concentric exercise-induced fatigue on proprioception, motor control and performance of the upper limb in handball players. by Stelios Hadjisavvas, Michalis A Efstathiou, Irene-Chrysovalanto Themistocleous, Katerina Daskalaki, Paraskevi Malliou, Christoforos D Giannaki, Jeremy Lewis, Manos Stefanakis

“…<h4>Results</h4>A significant increase in absolute angular error (AAE) was observed in all target angles in both external rotation (ER) and internal rotation (IR) directions (p < 0.01). …”
Get full text

Opioid prescriptions following behavioral health training among primary care providers by Shutong Huo, Tim A. Bruckner, Abhery Das, Glen L. Xiong, David Marcovitz, Ariel B. Neikrug, Robert McCarron

“…This result remains robust after controlling for several covariates (coef: − 0.209 ; standard error = 0.052, p < 0.001) as well as after clustering patient observations by provider. …”
Get full text

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

“…The newly introduced TransformerPayne emulator outperformed all other tested models, achieving a mean absolute error (MAE) of approximately 0.15% when trained on the full grid. …”
Get full text

A pilot study for assessing NAO humanoid robot assistance in shoulder rehabilitation by Alessandra Raso, Martina Pulcinelli, Emiliano Schena, Alfio Puglisi, Giovanni Pioggia, Arianna Carnevale, Umile Giuseppe Longo

“…Performance was evaluated by mean absolute error (MAE) for ROM and execution time, with smoothness assessed through Log Dimensionless Jerk analysis. …”
Get full text

Enhanced power sharing and voltage regulation for islanded nano-satellite DC microgrids in spinning flight scenarios by Khalil Louassaa, Josep M. Guerrero, Baseem Khan, Muhammad Zain Yousaf, Mohamed Ali Zdiri, Liu Zhang, Rajkumar Sivanraju

“…Comprehensive validation through stability analysis, simulations, and experimental testing demonstrates superior performance versus conventional methods, with significant improvements in transient response speed, steady-state error reduction, and disturbance rejection capability. …”
Get full text

A comparative study of four deep learning algorithms for predicting tree stem radius measured by dendrometer: A case study by Guilherme Cassales, Serajis Salekin, Nick Lim, Dean Meason, Albert Bifet, Bernhard Pfahringer, Eibe Frank

“…Our best result showed that a reduction of 97 % in collection events increases the MAE by only 6 % with the LSTM model, demonstrating that resource use optimisation can be achieved by slightly reducing the temporal resolution of data collection with marginal error increase. …”
Get full text

A Hybrid STL-Deep Learning Framework for Behavioral-Based Intrusion Detection in IoT Environments by Abdullah AlHayan, Jalal Al-Muhtadi

“…These results represent a substantial improvement over standalone deep learning models (standalone LSTM FNR = 0.302, FPR = 0.185) and compare favorably to state-of-the-art benchmarks reported in the literature, particularly in minimizing critical detection errors. The findings indicate that the proposed hybrid STL-LSTM framework presents a robust and viable solution for high-stakes IoT network security, effectively balancing high detection accuracy with exceptionally low error rates, making it well-suited for real-time deployment in protecting critical IoT infrastructure.…”
Get full text

A preliminary attempt to harmonize using physics-constrained deep neural networks for multisite and multiscanner MRI datasets (PhyCHarm) by Gawon Lee, Dong Hye Ye, Se-Hong Oh

“…The proposed physics constraints could be integrated with unsupervised methods, paving the way for more sophisticated harmonization qualities.…”
Get full text

Reduced‐Order Probabilistic Emulation of Physics‐Based Ring Current Models: Application to RAM‐SCB Particle Flux by Alfredo A. Cruz, Rashmi Siddalingappa, Piyush M. Mehta, Steven K. Morley, Humberto C. Godinez, Vania K. Jordanova

Get full text

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. …”
Get full text

The combined impact of AI and VR on interdisciplinary learning and patient safety in healthcare education: a narrative review by Emmanuel Aoudi Chance

“…Strategic implementation can contribute to error reduction, improved patient outcomes, and a culture of safety. …”
Get full text

The Impact of Sportsmetrics™ Neuromuscular Training on Injury Risk Factors and Athletic Performance: A Systematic Review by E Shakiba, H Mohammadi, M.H Alizadeh

“…The majority of studies reported a significant reduction in injury risk and a significant improvement in athletic performance.Conclusion:In addition to reducing dynamic knee valgus and landing error, and improving the alignment of the lower limbs, Sportsmetrics™ increase power, speed, agility and core stability. …”
Get full text

Unsupervised Feature Representation Based on Deep Boltzmann Machine for Seizure Detection by Tengzi Liu, Muhammad Zohaib Hassan Shah, Xucun Yan, Dongping Yang

“…The effectiveness of DBM&#x005F;transient is demonstrated on a widely-used benchmark dataset from Bonn University (Bonn dataset) and a raw clinical dataset from Chinese 301 Hospital (C301 dataset), with a large fisher discriminant value, surpassing the abilities of other dimensionality reduction methods, including DBM converged to an equilibrium state, Kernel Principal Component Analysis, Isometric Feature Mapping, t-distributed Stochastic Neighbour Embedding, Uniform Manifold Approximation. …”
Get full text

Cancer care to the population of Russia in 2022 by A. O. Shakhzadova, V. V. Starinsky, I. V. Lisichnikova

“…Objective: to analyze cancer statistics in Russia as a whole, as well as in individual regions of the Russian Federation.Material and Methods. Based on data from the state medical statistics according to the form No. 7 “information on malignant neoplasms for 2022” the crude and standardized rates, standard error of crude and standardized rates, confidence intervals (ci) for 2022, and the qualitative parameters of cancer care were calculated.Results. in 2022, 624,835 new cancer cases were detected in the Russian Federation (283,179 in men and 341,656 in women), in increase of 7.6 % compared to 2021 (in 2021: 580415), and decrease of 2.4 % compared to 2019 (in 2019: 640391). in 2022, the crude incidence rate was 425.89 ± 0.54 per 100,000 population of Russia (ci: 424.83–426.95 per 100,000 population), which was 7.0 % higher than that in 2021 (in 2021 – 397.91 ± 0.54 per 100,000 population) but 2.4 % lower than in 2019 (in 2019 – 436.34 ± 0.52 per 100,000 population). the standardized incidence rate was 236.47 ± 0.32 per 100,000 population (ci: 235.84–237.10 per 100,000 population), which was 5.2 % higher compared to that observed in 2021 (in 2021 – 224.87 ± 0.32 per 100,000 population) but 5.2 % lower than in 2019 (in 2019 – 249.54 ± 0.33 per 100,000 population). the prevalence rate of cancer in 2022 was 2,742.4 per 100,000 population of Russia, an increase in the prevalence rate over 10 years was 33.9 %.Conclusion. …”
Get full text

Evaluating behavioral intervention technologies: Integrating human-centered design and implementation science outcomes by Shumenghui Zhai, Weichao Yuwen, Tiffany L Zyniewicz, Jennifer Sonney, Jonika Hash, Maida Chen, Teresa M Ward

“…Results The USIS model incorporates five domains: (1) user-centeredness (empathy, engagement, and equity), (2) efficiency (cost, timeliness, and rapidity), (3) feasibility (learnability, memorability, error reduction, and low cognitive load), (4) satisfaction (acceptability and appropriateness), and (5) fidelity (adoption, penetration, and sustainability). …”
Get full text