Performance expectation fallout, knowledge search, and corporate dual innovation by Li Zheng, Yuanyuan Wang, Kang Fang

“…Furthermore, the research investigates the function of knowledge search in the relationship between the gap in performance expectations and dual innovation. …”
Get full text

Tissue Doppler Imaging in Acute and Critical Care: Enhancing Diagnostic Precision by Ugo Giulio Sisto, Daniele Orso, Davide Maione, Francesco Venturelli, Antonio De Luca

“…Due to its accessibility, rapid execution, and high reproducibility, it is suitable for longitudinal monitoring. …”
Get full text

System-Wide, Electronic Health Record–Based Medication Alerts for Appropriate Prescribing of Direct Oral Anticoagulants: Pilot Randomized Controlled Trial by Shawna N Smith, Michael S M Lanham, F Jacob Seagull, Morris Fabbri, Michael P Dorsch, Kathleen Jennings, Geoffrey Barnes

“…A user-centered, multistage design process informed alert development, emphasizing clear indication, appropriate dosing based on renal function, and drug-drug interactions. Alerts appeared whenever a DOAC was being prescribed in a way that did not follow package label instructions. …”
Get full text

Automated Calibration of SWMM for Improved Stormwater Model Development and Application by Hossein Ahmadi, Durelle Scott, David J. Sample, Mina Shahed Behrouz

“…Further development of modeling and simulation tools to aid in design is critical in improving the function of stormwater management systems. To address these issues, we developed an integration of PySWMM (a Python wrapper (tool) for SWMM) and Pymoo (a Python package for multi-objective optimization) to automate the SWMM calibration process. …”
Get full text

Advancements in Efficient Underwater Image Restoration Using ETransMapNet for Enhanced Dehazing by C. P. Indumathi, Haya Mesfer Alshahrani, N. A. Natraj, C. H. Sarada Devi

“…Unlike traditional CNNs, ETransMapNet replaces the initial layer's Rectified Linear Unit (ReLU) activation with a convolution layer utilizing a Maxout activation function. ETransMapNet extracts features using three convolution kernels of different sizes (3 × 3, 5 × 5, and 7 × 7). …”
Get full text

Patient-specific 3D tibial model: transforming meniscal allograft transplantation and surgical planning by Paula Andrea Sarmiento Riveros, Alejandro Jaramillo Quiceno, Rubén Darío Arias Pérez

“…Abstract Background Meniscal allograft transplantation (MAT) restores knee function by replacing a damaged or absent meniscus with a healthy allograft, helping to preserve joint stability, distribute the load, and reduce cartilage degeneration. …”
Get full text

Knowledge- and Model-Driven Deep Reinforcement Learning for Efficient Federated Edge Learning: Single- and Multi-Agent Frameworks by Yangchen Li, Lingzhi Zhao, Tianle Wang, Lianghui Ding, Feng Yang

“…The resulting problem is a complicated stochastic sequential decision-making problem with an implicit objective function and unknown transition probabilities. To address these challenges, we propose knowledge/model-driven single-agent and multi-agent deep reinforcement learning (DRL) frameworks. …”
Get full text

Swarm intelligence driven inverse design of slot patterns for sub-6 GHz 5G MIMO antennas in virtual reality applications by Shadman Fuad Bin Faruquee, Himel Bhuiyan, Md. Shafiul Alam, Sharnali Islam, Khaleda Ali

“…In situ path loss measurement campaign was executed by integrating the antenna into participants’ virtual reality headsets. …”
Get full text

Study on Turning Arabic Text into Spoken Words by Abdulwahhab Shareef, Riyadh Mahmoud

“…We start by entering in the input text box and using the SpellLetter function, which we use for the purpose of processing and pronunciation, where the input is of three types, either it is a char, or it is an array of characters (String), or it is numbers between zero and nine Num), and in the case that the entry was not For these three types, the entry is wrong, for example, non-Arabic letters or special symbols, for example.…”
Get full text

Case Report: The Versatile Art of Reconstruction: A Decade‐Long Journey With Recurrent Facial Basal Cell Carcinoma by T. H. Pathirana, V. Bandaranayake, A. P. Nellihela, S. Nikeshala, T. Saranga, A. Abegunasekara, S. Gunathilake, N. J. Asanthi

“…Although no chemotherapy and immunotherapy were given, the functional and aesthetic result were satisfactory. The procedure was executed while preserving the pertinent neurovascular structures, maintaining oral competence, and restoring the lower face. …”
Get full text

Assessing the Critical Factors Leading to the Failure of the Industrial Pressure Relief Valve Through a Hybrid MCDM-FMEA Approach by Pradnya Kuchekar, Ajay S. Bhongade, Ateekh Ur Rehman, Syed Hammad Mian

“…Industrial pressure relief valves must function reliably and effectively to protect pressurized systems from excessive pressure conditions. …”
Get full text

Differential expression and correlation analysis of global transcriptome for obstructive sleep apnea hypopnea syndrome by Ziyi Chen, Guihua Wang, Lichen Song, Yuanyuan Zhang, Guangming Wang

“…To further explore the role of differentially expressed genes in OSAHS, we functionally annotated the differentially expressed genes using enrichment analysis of GO and KEGG pathways. …”
Get full text

Enhanced AUV Autonomy Through Fused Energy-Optimized Path Planning and Deep Reinforcement Learning for Integrated Navigation and Dynamic Obstacle Detection by Kaijie Zhang, Yuchen Ye, Kaihao Chen, Zao Li, Kangshun Li

“…The MEO-BIT* component delivers efficient global path planning through (1) a multithreaded batch sampling mechanism for rapid state-space exploration, (2) heuristic-driven search accelerated by KD-tree spatial indexing for optimized path discovery, and (3) an energy-aware cost function balancing path length and steering effort for enhanced endurance. …”
Get full text

Enhanced Efficiency in SMEs Attendance Monitoring: Low Cost Artificial Intelligence Facial Recognition Mobile Application by Hong-Danh Thai, Yeong-Seok Seo, Jun-Ho Huh

“…Employees’ facial identities using the Resnet34 model integrated Additive Angular Margin Loss function to identify employees’ facial identities. …”
Get full text

Ensemble Network Graph-Based Classification for Botnet Detection Using Adaptive Weighting and Feature Extraction by Muhammad Aidiel Rachman Putra, Tohari Ahmad, Dandy Pramana Hostiadi, Royyana Muslim Ijtihadie

“…The experimental results obtained using CTU-13, NCC, and NCC-2 datasets produce reliable performance with an average accuracy of 99.99%, along with 80.91% precision, 93.10% recall, 82.15% f1-score and 39.55 second execution time. The proposed model can function as an effective tool for the forensic analysis of botnet attacks, allowing network administrators to analyze the characteristics of botnet activities and anticipate potential future threats.…”
Get full text

Machine learning-based identification of exosome-related biomarkers and drugs prediction in nasopharyngeal carcinoma by Zhengyu Wei, Guoli Wang, Yanghao Hu, Chongchang Zhou, Yuna Zhang, Yi Shen, Yaowen Wang

“…These identified genes underwent functional annotation and pathway enrichment evaluation. …”
Get full text

Double-diffusive convection in flow of Carreau fluid with variable density inside converging and diverging channels of rectilinear walls by Muhammad Hamza, Dil Nawaz Khan Marwat, Noureen

“…The boundary layer approximation and stream function assumptions have not been used in the study's execution. …”
Get full text

Vibrotactile Feedback Strategies for Trunk-Stabilizing Exercises in a Home-Based Scenario: Qualitative Interview Study Among Physiotherapists by Kaya Holzmeyer, Lisa-Marie Lüneburg, Luca Oppici, Philipp Flößel, Doris Lachmann, Jens Krzywinski, Susanne Narciss

“…Frequent combinations of the categories were auditory, simple confirmatory feedback, often given when terminal, or the presentation of the correct exercise execution given auditorily or multimodally concurrent to exercise execution. …”
Get full text

Kinematic Parameters for Tracking Patient Progress during Upper Limb Robot-Assisted Rehabilitation: An Observational Study on Subacute Stroke Subjects by Michela Goffredo, Stefano Mazzoleni, Annalisa Gison, Francesco Infarinato, Sanaz Pournajaf, Daniele Galafate, Maurizio Agosti, Federico Posteraro, Marco Franceschini

“…At the RT onset, the movements were less accurate and smoothed, and showed higher times of execution than those executed at the end of treatment. …”
Get full text

Protocol for high-power, brain-focused microwave fixation to define rodent metabolism by Alex R. Cantrell, Tara R. Hawkinson, Jelena A. Juras, Madison B. Webb, Terrymar Medina, Roberto A. Ribas, James Collins, Amelia A. Bunnell, Lyndsay E.A. Young, Kia H. Markussen, Douglas A. Andres, Joanna R. Long, Craig W. Vander Kooi, Bret N. Smith, Ramon C. Sun, Matthew S. Gentry

“…Summary: Analysis of metabolites provides key insights into brain physiology and function. Due to post-mortem metabolism, both the euthanasia method and dissection time can make a critical difference. …”
Get full text