Artificial intelligence in dentistry and dental biomaterials by Dinesh Rokaya, Dinesh Rokaya, Ahmad Al Jaghsi, Ahmad Al Jaghsi, Ahmad Al Jaghsi, Rohan Jagtap, Viritpon Srimaneepong

“…Recent advancement in AI in medical and dental sciences includes multimodal deep learning fusion, speech data detection, and neuromorphic computing. …”
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Loss of Mfn1 but not Mfn2 enhances adipogenesis. by Jake P Mann, Luis Carlos Tábara, Satish Patel, Pushpa Pushpa, Anna Alvarez-Guaita, Liang Dong, Afreen Haider, Koini Lim, Panna Tandon, Fabio Scurria, James E N Minchin, Stephen O'Rahilly S, Daniel J Fazakerley, Julien Prudent, Robert K Semple, David B Savage

“…<h4>Objective</h4>A biallelic missense mutation in mitofusin 2 (MFN2) causes multiple symmetric lipomatosis and partial lipodystrophy, implicating disruption of mitochondrial fusion or interaction with other organelles in adipocyte differentiation, growth and/or survival. …”
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A Study Using the Network Simulation Method and Nondimensionalization of the Fiber Fuse Effect by Juan Francisco Sanchez-Pérez, Joaquín Solano-Ramírez, Fulgencio Marín-García, Enrique Castro

“…This paper presents an innovative approach to modelling the fiber optic fusion effect using the Network Simulation Method (NSM). …”
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Biodiversité et corporéité dans la poésie diasporique caribéenne: vers une esthétique écoféministe by Myriam Moïse

“…C’est bien par l’imagination que ces écopoètes parviennent à faire corps avec les paysages caribéens, une fusion poétique entre biodiversité et corporéité qui permet la résilience, la réaffirmation, voire la métamorphose des subjectivités féminines.…”
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Improving Industrial Quality Control: A Transfer Learning Approach to Surface Defect Detection by Ângela Semitela, Miguel Pereira, António Completo, Nuno Lau, José P. Santos

“…The results revealed that the two illumination modes employed widened the type of defects that could be identified with this system, while maintaining its lower computational complexity by performing multi-modal fusion at the decision level. Furthermore, the pre-trained networks achieved higher accuracies on defect classification compared to the self-built network, with ResNet-50 displaying higher accuracy. …”
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Deep Learning-Based Post-Stroke Myoelectric Gesture Recognition: From Feature Construction to Network Design by Tianzhe Bao, Zhiyuan Lu, Ping Zhou

“…A total of 18 DL models were comprehensively evaluated in both intra-subject testing and inter-subject transfer learning tasks, with two post-processing algorithms (Model Voting and Bayesian Fusion) analysed subsequently. Experiment results infer that for intra-subject testing, the average accuracy of CNN-LSTM using two-dimensional frequency features is the highest, reaching 72.95%. …”
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Research Progress of ROS-Mitochondrial Pathway on Cardiovascular Protection of Tea Polyphenols by Tingting DENG, Jinchan PI, Xiaoping PENG, Yufei YAO, Yiquan LI, Wenjuan LI

“…From the perspective of ROS-mitochondrial pathway, the article elucidates how tea polyphenols behaved the beneficial effects against cardiovascular diseases by modulating the expression of mitochondrial fusion and fission proteins, reducing the opening of mitochondrial membrane permeability transition pore, maintaining cellular calcium homeostasis, mitigating mitochondrial DNA damage and regulating mitochondrial apoptosis signaling pathways. …”
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Comportamiento de la vegetación de un humedal (mallín) entre períodos húmedos y secos mediante análisis meteorológicos y espectral by Alicia Campo, Griselda Ostertag, Ricardo Gandullo, Alicia Campo

“…Del análisis resulta que existe una relación bastante directa entre años secos o con adelantamiento de la fusión nival y la disminución de la actividad fotosintética de la vegetación, respecto a períodos medios ó húmedos. …”
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Deletion of a Putative GPI-Anchored Protein-Encoding Gene Aog185 Impedes the Growth and Nematode-Trapping Efficiency of Arthrobotrys oligospora by Disrupting Transmembrane Transpor... by Hui Peng, Hengqian Lu, Xinyuan Dong, Xiao Liang, Kangliang Sheng, Jingmin Wang, Xiaowei Kong, Xiangdong Zha, Yongzhong Wang

“…Specifically, knockout of Aog185 disrupted transmembrane transport homeostasis during the phagocytosis, cell autophagy, and oxidative phosphorylation processes, which were associated with the fusion of cells and organelle membranes, transport of ions and substrates, and energy metabolism. …”
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A Lightweight Convolutional Neural Network for Real-time Detection of Aircraft Engine Blade Damage by Wenzhe Wang, Hua Su, Xinliang Liu, Jawad Munir, Jingqiu Wang

“…Second, to ensure that the lightweight model has a certain level of detection accuracy, a feature fusion module CA-FPN combined with coordinate attention and a small damage detection enhancement module W-Inception are embedded. …”
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Orthopedic Manifestations of Bruck Syndrome: A Case Series with Intermediate to Long-term Follow-Up by Adolfredo Santana, Geovanny Oleas-Santillán, Jeanne M. Franzone, L. Reid Nichols, J. Richard Bowen, Richard W. Kruse

“…Spine deformities were successfully treated by spinal fusion and instrumentation.…”
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Dynamic Warping Network for Semantic Video Segmentation by Jiangyun Li, Yikai Zhao, Xingjian He, Xinxin Zhu, Jing Liu

“…Furthermore, we introduce the temporal consistency loss including the feature consistency loss and prediction consistency loss to explicitly supervise the warped features instead of simple feature propagation and fusion, which guarantees the temporal consistency of video segmentation. …”
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Local-Global and Multi-Scale (LG-MS) Mixer Architecture for Long-Term Time Series Forecasting by Zhennan Peng, Boyong Gao, Ziqi Xia, Jie Liu

“…To address this challenge, we propose a framework &#x2013; LG-MSMixer&#x2014;to enhance long-term time series forecasting through three key steps: multi-scale dual decomposition, local-global information extraction, and fusion prediction. Specifically, we first conduct multi-scale dual decomposition of the long input sequence to derive a seasonal-trend component combination. …”
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Controlling Underwater Robots with Electronic Nervous Systems by Joseph Ayers, Nikolai Rulkov, Dan Knudsen, Yong-Bin Kim, Alexander Volkovskii, Allen Selverston

“…Using DTMs, we have been able to simulate complex sensory fusion for rheotaxic behaviour based on both hydrodynamic and optical flow senses. …”
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The N-Terminal Domain of Y-Box Binding Protein-1 Induces Cell Cycle Arrest in G2/M Phase by Binding to Cyclin D1 by Payal Khandelwal, Mythili K. Padala, John Cox, Ramareddy V. Guntaka

“…To test this hypothesis the N-terminal sequence of the YB-1 was fused with the third helix of antennapedia and the green fluorescent protein. These purified fusion proteins were introduced into rat hepatoma cells and their effect on cell proliferation was studied. …”
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Impacted Maxillary Canine Prevalence and Its Association with Other Dental Anomalies in a Mexican Population by José Rubén Herrera-Atoche, María del Rosario Agüayo-de-Pau, Mauricio Escoffié-Ramírez, Fernando Javier Aguilar-Ayala, Bertha Arelly Carrillo-Ávila, Marina Eduviges Rejón-Peraza

“…The sample was divided into a control group and an impaction group, and the prevalence was calculated in both for a series of anomalies: agenesis, supernumerary teeth, shape anomalies of the upper laterals (microdontia, peg and barrel shape, and talon cusp), fusion, gemination, other impacted teeth, transposition, and amelogenesis imperfecta. …”
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Evaluation of the accuracy of mobile cone-beam computed tomography after spinal instrumentation surgery by Ki Seong Eom, Eun Sung Park, Dae Won Kim, Jong Tae Park, Kwon-Ha Yoon

“…Purpose Pedicle screw fixation provides 3-column stabilization, multidimensional control, and a higher rate of interbody fusion. Although computed tomography (CT) is recommended for the postoperative assessment of pedicle screw fixation, its use is limited due to the radiation exposure dose. …”
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Downscaling of ERA5 reanalysis land surface temperature based on attention mechanism and Google Earth Engine by Shiyu Li, Hong Wan, Qun Yu, Xinyuan Wang

“…This method comprehensively considers the relationship between the LST and surface features, organically combining multiple deep learning modules, includes the Global Multi-Factor Cross-Attention (GMFCA) module, the Feature Fusion Residual Dense Block (FFRDB) connection module, and the U-Net module. …”
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Compressive behavior of Co-Cr-Mo radially graded porous structures under as-built and heat-treated conditions by Francesco Cantaboni, Paola Ginestra, Marialaura Tocci, Andrea Avanzini, Elisabetta Ceretti, Annalisa Pola

“…In this work, the powder bed fusion technique was utilized to manufacture lattice structures with defined building angles concerning the build platform. …”
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Assessment of Damage to Nucleic Acids and Repair Machinery in Salmonella typhimurium Exposed to Chlorine by M. H. Phe, M. Hajj Chehade, H. Guilloteau, C. Merlin, J. C. Block

“…Monitoring the SOS system responsiveness with a umuC'-‘lacZ reporter fusion, we found that the expression of this important cellular machinery was altered after the beginning of membrane permeabilization but prior to the total decline of both the cell culturability and the nucleic acid integrity as revealed by Sybr-II staining. …”
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