Ensemble Just-In-Time Learning-Based Soft Sensor for Mooney Viscosity Prediction in an Industrial Rubber Mixing Process by Huaiping Jin, Jiangang Li, Meng Wang, Bin Qian, Biao Yang, Zheng Li, Lixian Shi

“…To obtain real-time and accurate estimations of Mooney viscosity, a novel soft sensor method, referred to as multimodal perturbation- (MP-) based ensemble just-in-time learning Gaussian process regression (MP-EJITGPR), is proposed by exploiting ensemble JIT learning. …”
Get full text

Paisagem Virtual e os Green Game Jam no Enfrentamento à Crise Ambiental by Rubian Diego Andrade, Elisangela Gisele do Carmo, Juliana de Paula Figueiredo, Amanda Mayara do Nascimento-Cardoso, Nara Heloisa Rodrigues, Dimitri Wo Pereira, Viviane Kawano Dias, Gisele Maria Schwartz

“…Os dados analisados descritivamente por análise de conteúdo multimodal apontam que as empresas participantes adequaram os enredos, as paisagens e os personagens dos games para estimular estratégias pró-ambientais, evidenciam os videogames como potencial significativo no enfrentamento aos desafios ambientais. …”
Get full text

Multiscale effective connectivity analysis of brain activity using neural ordinary differential equations. by Yin-Jui Chang, Yuan-I Chen, Hannah M Stealey, Yi Zhao, Hung-Yun Lu, Enrique Contreras-Hernandez, Megan N Baker, Edward Castillo, Hsin-Chih Yeh, Samantha R Santacruz

“…Despite recent advances in multimodal measurements of brain activity, there is no broadly accepted multiscale dynamical models for the collective activity represented in neural signals. …”
Get full text

Combined treatment for locally advanced cholangiocellular liver cancer - the case report by A. N. Polyakov, Yu. I. Patyutko, A. Yu. Syskova, K. A. Romanova, I. S. Bazin, O. N. Sergeeva, E. R. Virshke, E. S. Makarov, E. Yu. Antonova, A. A. Kirshin, D. V. Podluzhnyi

“…The case describes the possibilities of an individual multimodal approach in a treatment strategy for the patient with locally advanced liver cholangiocarcinoma complicated by obstructive jaundice, cholangitis, cholangiogenic abscesses. …”
Get full text

Carcinoma In Disguise-Atypical Presentation of Squamous Cell Carcinoma by Kawari Sowbhagyalaxmi Ramesh, Abhishek Ganguly, Abhijith Acharya, Manohar V Pai

“…However, incisional biopsy from the nail unit revealed suspicious of SCC. A multimodal approach to the tumor is required; however, surgical excision is the definitive treatment.…”
Get full text

Pediatric Plastic Bronchitis: Case Report and Retrospective Comparative Analysis of Epidemiology and Pathology by Rebecca Kunder, Christian Kunder, Heather Y. Sun, Gerald Berry, Anna Messner, Jennifer Frankovich, Stephen Roth, John Mark

“…We report an index patient treated using an emerging multimodal strategy of directly instilled and inhaled tissue plasminogen activator (t-PA) as well as 13 other cases of PB at our institution between 2000 and 2012. …”
Get full text

Pain management for the neurosurgical patient in spinal procedures: overview of historic and new modalities by Ashley M. Carter, Samantha Yost, Jessica Tobin, Simran Phuyal, Brandon Lucke-Wold

“…Additionally showcasing individualized multimodal strategies for postoperative pain management beyond pharmacological approaches such as cognitive behavioral therapy (CBT), physical therapy, and transcutaneous electrical nerve stimulation (TENS). …”
Get full text

NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function by Alessandra Rampinini, Irene Balboni, Olga Kepinska, Raphael Berthele, Narly Golestani

“…The NEBULA101 dataset offers brain structural, diffusion-weighted, task-based and resting-state MRI data, alongside extensive linguistic and non-linguistic behavioural measures to explore the complex interaction of language and cognition in a highly multilingual sample. By sharing this multimodal dataset, we hope to promote research on the neuroscience of language, cognition and multilingualism, enabling the field to deepen its understanding of the multivariate panorama of individual differences and ultimately contributing to open science.…”
Get full text

ANALYZING THE IMPACT OF ROADSIDE FEATURES ON INJURY SEVERITY by Sotonye IKIRIKO, Steve EFE, Oludare OWOLABI

“… The design and implementation of a multimodal transportation system must address the issue of mobility and sustainability with the objective of making transportation safer, better, faster, and more reliable. …”
Get full text

Revolutionizing Health Care: The Transformative Impact of Large Language Models in Medicine by Kuo Zhang, Xiangbin Meng, Xiangyu Yan, Jiaming Ji, Jingqian Liu, Hua Xu, Heng Zhang, Da Liu, Jingjia Wang, Xuliang Wang, Jun Gao, Yuan-geng-shuo Wang, Chunli Shao, Wenyao Wang, Jiarong Li, Ming-Qi Zheng, Yaodong Yang, Yi-Da Tang

“…LLMs are unique in processing multimodal data, thereby improving emergency, elder care, and digital medical procedures. …”
Get full text

Model and Algorithm for Human Resource-Constrained R&D Program Scheduling Optimization by Junjie Chen, Shurong Tong, Hongmei Xie, Yafei Nie, Jingwen Zhang

“…A flexible resource-constrained project scheduling problem with competency differences is proposed, which is a practical extension close to Research and Development (R&D) program management, from the traditional multimode resource-constrained project scheduling problem. …”
Get full text

MRI Findings in Neuroferritinopathy by Emiko Ohta, Yoshihisa Takiyama

“…The future development of multimodal and advanced MRI techniques is thus expected to play an important role in accurately measuring the brain iron content and thereby further elucidating the neurodegenerative process.…”
Get full text

Developing a Machine Learning–Based Automated Patient Engagement Estimator for Telehealth: Algorithm Development and Validation Study by Pooja Guhan, Naman Awasthi, Kathryn McDonald, Kristin Bussell, Gloria Reeves, Dinesh Manocha, Aniket Bera

“…To support the development of similar technologies for telehealth, we also plan to release a dataset called Multimodal Engagement Detection in Clinical Analysis (MEDICA). …”
Get full text

From pixels to prognosis: radiomics and AI in Alzheimer’s disease management by Danting Peng, Weiju Huang, Ren Liu, Wenlong Zhong

“…This review explores the application of radiomics and AI in AD, focusing on key imaging modalities such as PET and MRI, as well as multimodal approaches combining structural and functional data. …”
Get full text

Emerging Applications for Optically Enabled Intravital Microscopic Imaging in Radiobiology by Azusa Maeda, Iris Kulbatski, Ralph S. DaCosta

“…The development and application of new animal models, small animal microirradiation technologies, and multimodal optically enabled intravital microscopy techniques are emphasized within the framework of preclinical radiobiology research. …”
Get full text

The Fallacy of Learning Styles in Medical Education: An Evidence-Based Critique by Saurabh RamBihariLal Shrivastava, Prateek Saurabh Shrivastava

“…Considering that preference for learning style changes over a period of time, is often multimodal, and that learning results due to the interplay of a wide range of other internal and external factors and not only because of the learning style. …”
Get full text

From hypoxic pockets to daily routines: linking brain oxygenation and cognitive resilience by Dian Jiao

“…By integrating insights from centenarians, hypoxia-adapted species, and multimodal intervention studies, this framework highlights the transformative potential of lifestyle-based strategies in addressing cerebral oxygen deficits. …”
Get full text

The Role of Interfascial Plane Blocks in Paediatric Regional Anaesthesia: A Narrative Review of Current Perspectives and Updates by Sujana Dontukurthy, Roshanak Mofidi

“…Interfascial plane blocks are often incorporated in the multimodal analgesia regimen in the early recovery and ambulation after surgery protocols for various chest wall and abdominal surgeries. …”
Get full text

Improved fish swarm algorithm based on chaos and its application in abnormal detection of industrial control network by Yaping WU, Hongzhao DONG, Yingying LIN, Jing LIU

“…Artificial fish swarm algorithm as a new type of bionic swarm intelligence optimization algorithm has been successfully used in a variety of optimization problems and practical engineering field,but when faced with the complex optimization problems,especially the multiple extreme value of peak and multimodal function optimization problems,due to the objective function has many local minima,inevitably there are defects such as premature and slow convergence speed.The random and ergodic theory was introduced into the basic artificial fish swarm algorithm,and an improved algorithm was constructed to make artificial fish swarm search avoid possible local extremum.The effectiveness of the algorithm was validated in the simulation application in industrial control network anomaly detection.Compared with the basic artificial fish school algorithm,the chaos improved artificial fish swarm algorithm can effectively avoid the long-term search of the algorithm near the local extreme value.The algorithm has better performance in terms of global convergence and the search efficiency is more prominent.…”
Get full text

Fusion reconstruction mechanism and contrast learning method for WSN abnormal node detection by YE Miao, CHENG Jin, HUANG Yuan, JIANG Qiuxiang, WANG Yong

“…To tackle the defects of self-supervised learning anomaly detection methods for wireless sensor network (WSN) need to address the problems of single negative sample types and lack of diversity, as well as insufficient extraction of spatiotemporal features from multimodal data of wireless sensor network nodes. To address these challenges, a wireless sensor network anomaly node detection method that combines contrastive learning and reconstruction mechanisms was proposed. …”
Get full text