Theoretical Model, Model Innovation, and Important Implications of DeepSeek Empowering Library Knowledge Services by ZHANG Xingwang, LI Jie, LI Sifan, WANG Xiaopei

“…At the same time, it can bring many problems, such as model security, intellectual property risks, knowledge illusions, and information cocoons. …”
Get full text

Predictive Modeling of Acute Respiratory Distress Syndrome Using Machine Learning: Systematic Review and Meta-Analysis by Jinxi Yang, Siyao Zeng, Shanpeng Cui, Junbo Zheng, Hongliang Wang

“…However, many of the existing models still have limitations. …”
Get full text

Climate-resilient water management: Leveraging IoT and AI for sustainable agriculture by Syed Muhammad Zaigham Abbas Naqvi, Saddam Hussain, Muhammad Awais, Muhammad Naveed Tahir, Shoaib Rashid Saleem, Fuad A.M. Al-Yarimi, Mirjalol Ashurov, Oumaima Saidani, M.Ijaz Khan, Junfeng Wu, Zhang Wei, Jiandong Hu

“…They collect the data from field and analyze using artificial intelligence based algorithmic models. The irrigation management strategies using the artificial intelligence (AI) to mitigate the climate change impacts by reducing the wastage of essential resources in the environment has not been adopted by many developed countries. …”
Get full text

A subregional shallow water bathymetry derivation method for coral reef using ICESat-2 and Sentinel-2 combined with sediment information by Caixiang Xu, Xiaoguang Ruan, Chenhan Shen, Zixin Tao, Xiaohan Xu, Jiangnan Zheng, Weijiang Wu

“…Fine sediment classification relies on field acoustic and spectral measurements, which is costly and subject to many restrictions. In this study, a subregional shallow water satellite-derived bathymetry method in combination with sediment information (SDB_SS) is proposed by integrating various algorithms. …”
Get full text

Examining the Role of Social Media in New Social Movements A Case Study of the Black Lives Matter Movement by Ali Davari, Mostafa Ghaffari

“…The findings suggest that future research should adapt Melucci’s framework to address contemporary challenges such as platform governance, algorithmic amplification, and activist burnout in digital environments. …”
Get full text

The State of Artificial Intelligence and its Prospects in Pakistan's Medical Sector by Rohail Akhtar Habib, Yumna Sattar Khan

“…Predictive analytics using machine learning algorithms has become more popular in Pakistani healthcare. …”
Get full text

Advancing sustainability: The impact of emerging technologies in agriculture by Ashoka Gamage, Ruchira Gangahagedara, Shyamantha Subasinghe, Jeewan Gamage, Chamini Guruge, Sera Senaratne, Thevin Randika, Chamila Rathnayake, Zammil Hameed, Terrence Madhujith, Othmane Merah

“…The integration of data analytics and machine learning algorithms is transforming supply chain management and enhancing the capabilities of predictive analytics in the context of crop diseases. …”
Get full text

Burden of chronic spontaneous urticaria in Italy through healthcare resource utilization and direct costs: a retrospective analysis of real-world using administrative healthcare da... by Giulia Ronconi, Letizia Dondi, Silvia Calabria, Leonardo Dondi, Irene Dell’Anno, Lucia Casoli, Diletta Valsecchi, Ornella Bonavita, Eustachio Nettis, Nello Martini, Carlo Piccinni

“…The median (IQR) age was 36 (18;55) years with twice as many females as males. Cardiometabolic diseases were the most common comorbidities. …”
Get full text

MOIRA-UNIMORE Bearing Data Set for Independent Cart Systems by Abdul Jabbar, Marco Cocconcelli, Gianluca D’Elia, Davide Borghi, Luca Capelli, Jacopo Cavalaglio Camargo Molano, Matteo Strozzi, Riccardo Rubini

“…By addressing this gap, this work provides a critical resource for benchmarking and developing novel algorithms for fault diagnosis, signal processing, and machine learning in industrial transport applications. …”
Get full text

Human and Machine: A View through Kant's Use of Regulative Reason by Ümit Taştan

“…Artificial intelligence, which is made possible by this construction, is inadequate in solving many problems that have shown surprising developments in recent years. …”
Get full text

Provenance-Finding of Dust Storms Using AVHRR Sensor Images of NOAA Satellite (Case Study: Southwest of Iran) by Mohammad Hossein Rezaei Moghaddam, Mojtaba Mahdian Boruojeni

“…Studies have shown that for many years, storms have occurring in the west and southwest of Iran and neighboring countries. …”
Get full text

Long-term risk of de novo malignancy with tumor necrosis factor alpha (TNF) inhibitor immunosuppression: a multicenter, retrospective cohort study by Conor B. Driscoll, Jordan M. Rich, Christopher Yang, Joseph Nicolas, Dylan Isaacson, Philip Silberman, Xinlei Mi, Sai Kaushik Shakar Ramesh Kumar, Hui Zhang, Steven Belknap, William H. Temps, Edward M. Schaeffer, Shilajit D. Kundu

“…Abstract Background Tumor necrosis factor-alpha (TNF) is an inflammatory cytokine implicated in the development of many chronic inflammatory diseases and TNF-α inhibitors (TNF-I) are frequently prescribed as treatment. …”
Get full text

Will Artificial Intelligence Replace Physicians or Augment Their Capabilities? by Sara Rahmati Roodsari, Alireza Zali, Mohammad Rahmati-Roodsari, Behina Forouzanmehr

“…In medical imaging, deep learning algorithms, especially those trained with genetic algorithms, have demonstrated immense promise to improve the accuracy of pneumonia and COVID-19 diagnosis from chest X-rays. …”
Get full text

Artificial Intelligence-based Approaches for Characterizing Plaque Components From Intravascular Optical Coherence Tomography Imaging: Integration Into Clinical Decision Support Sy... by Michela Sperti, Camilla Cardaci, Francesco Bruno, Syed Taimoor Hussain Shah, Konstantinos Panagiotopoulos, Karim Kassem, Giuseppe De Nisco, Umberto Morbiducci, Raffaele Piccolo, Francesco Burzotta, Fabrizio D’Ascenzo, Marco Agostino Deriu, Claudio Chiastra

“…To increase productivity, precision, and reproducibility, researchers are increasingly integrating artificial intelligence (AI)-based techniques into IVOCT analysis pipelines. Machine learning algorithms, trained on labelled datasets, have demonstrated robust classification of various plaque types. …”
Get full text

Calibración de cámaras de tiempo de vuelo: Ajuste adaptativo del tiempo de integración y análisis de la frecuencia de modulación by P. Gil, T. Kisler, G.J. García, C.A. Jara, J.A. Corrales

“…Abstract: The depth perception is essential in many manipulation tasks, visual inspection and robot navigation. …”
Get full text

Forestry climate adaptation with HarvesterSeasons service—a gradient boosting model to forecast soil water index SWI from a comprehensive set of predictors in Destination Earth by Mikko Strahlendorff, Anni Kröger, Golda Prakasam, Miriam Kosmale, Mikko Moisander, Heikki Ovaskainen, Asko Poikela

“…As soil wetness is not changing as rapidly as many weather parameters, the forecast skill appears to last longer for it than for the weather variables. …”
Get full text

Emerging Diagnostic Approaches for Musculoskeletal Disorders: Advances in Imaging, Biomarkers, and Clinical Assessment by Rahul Kumar, Kiran Marla, Kyle Sporn, Phani Paladugu, Akshay Khanna, Chirag Gowda, Alex Ngo, Ethan Waisberg, Ram Jagadeesan, Alireza Tavakkoli

“…Artificial intelligence and machine learning algorithms now automate image interpretation, predict clinical outcomes, and enhance clinical decision support, complementing conventional clinical evaluations. …”
Get full text

Predicting CO₂ and H₂ Solubility in Pure Water and Various Aqueous Systems: Implication for CO₂–EOR, Carbon Capture and Sequestration, Natural Hydr... by Promise O. Longe, David Kwaku Danso, Gideon Gyamfi, Jyun Syung Tsau, Mubarak M. Alhajeri, Mojdeh Rasoulzadeh, Xiaoli Li, Reza Ghahfarokhi Barati

“…The explicit, derivative–continuous nature of these models eliminates the need for iterative algorithms, making them suitable for integration into large–scale multiphase flow simulations. …”
Get full text

HARMFUL CONDITIONS ON THE DENTAL STATUS OF POULTRY FARM WORKERS by T. Pupin, O. Kardashevska

“…The development of algorithms for diagnosis, prevention and treatment of dental diseases for this category of workers are considered as necessary. …”
Get full text

Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity by Hope A. Townsend, Hope A. Townsend, Kaylee J. Rosenberger, Kaylee J. Rosenberger, Lauren A. Vanderlinden, Lauren A. Vanderlinden, Jun Inamo, Jun Inamo, Fan Zhang, Fan Zhang, Fan Zhang

“…First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. …”
Get full text