Multiparametric Ultrasound (mpUS) of a Rare Testicular Capillary Hemangioma by Paul Spiesecke, Thomas Fischer, Carsten Stephan, Andreas Maxeiner, Bernd Hamm, Markus Lerchbaumer

“…Ultrasound (US) imaging represented an isoechogenic lesion with high vascularization in both power Doppler and microflow imaging with central feeding artery. Both strain elastography and shear wave elastography demonstrated a stiff lesion compared to surrounding testicular tissue. …”
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Genesis of a Poetics of Silence by Enora Lessinger

“…Her reluctance to report certain facts and to express some of her feelings is emphasised by the overabundance of details provided on safer subjects. …”
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Welfare of horses at slaughter by EFSA Panel on Animal Health and Welfare (AHAW), Søren Saxmose Nielsen, Julio Alvarez, Anette Boklund, Sabine Dippel, Fernanda Dorea, Jordi Figuerola, Mette Herskin, Miguel Angel Miranda Chueca, Eleonora Nannoni, Romolo Nonno, Anja Riber, Karl Stahl, Jan Arend Stegeman, Hans‐Hermann Thulke, Frank Tuyttens, Christoph Winckler, Mohan Raj, Antonio Velarde, Denise Candiani, Yves Van der Stede, Virginie Michel

“…Additionally, specific practices deemed unacceptable on welfare grounds are listed.…”
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A Decision-Making Model for Autonomous Vehicles at Urban Intersections Based on Conflict Resolution by Zi-jia Wang, Xue-mei Chen, Pin Wang, Meng-xi Li, Yang-jia-xin Ou, Han Zhang

“…After that, a nondominated sorting genetic algorithm (NSGA-II) and deep deterministic policy gradient (DDPG) are employed to select the optimal motions in comparison with each other. …”
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Variational graph autoencoder for reconstructed transcriptomic data associated with NLRP3 mediated pyroptosis in periodontitis by Pradeep K. Yadalam, Prabhu Manickam Natarajan, Carlos M. Ardila

“…This method identifies natural groupings within biological data without prior labels. VGAE, a deep learning model, captures complex graph relationships for tasks like link prediction and edge detection. …”
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Fatigue Damage Evaluation of Pile-Supported Bridges under Stochastic Ice Loads by Tianyu Wu, Wenliang Qiu, Guangrun Wu

“…Numerical results indicate that in comparison with stiff soil conditions, pile-supported bridges in soft oil conditions can increase the cumulative fatigue damage substantially; pile-supported bridges in deep water also can increase the cumulative fatigue damage obviously. …”
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Antenna Optimization Based on Auto-Context Broad Learning System by Wei-Tong Ding, Fei Meng, Yu-Bo Tian, Hui-Ning Yuan

“…Broad learning system (BLS), as an emerging network with strong extraction ability and remarkable computational efficiency, has revolutionized the conventional artificial intelligence (AI) methods and overcome the shortcoming of excessive time-consuming training process in deep learning (DL). However, it is difficult to model the regression relationship between input and output variables in the electromagnetic field with the unsatisfactory fitting capability of the original BLS. …”
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Systemic Amyloidosis and Cardiac Autonomic Neuropathy Associated with Waldenstrom’s Macroglobulinemia by Aasems Jacob, Rishi Raj, Warren Walkow

“…There may be no change in heart rate with Valsalva or deep breathing both of which increase parasympathetic tone. …”
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Development and Application of a New Convective Entrainment Rate Parameterization for Improving Precipitation Simulation Over the Tibetan Plateau and Its Surrounding Areas by Junjun Li, Chunsong Lu, Jinghua Chen, Jian Li, Jing Yang, Xiaoqi Xu, Lei Zhu, Xin He, Shiying Wu

“…In light of this, a new deep convective entrainment rate parameterization suitable for the region is developed based on convection observational data and is applied to the Grell‐Freitas Ensemble Scheme of the Weather Research and Forecasting Model. …”
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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

“…To automate the quality control of painted surfaces of heating devices, an automatic defect detection and classification system was developed by combining deflectometry and bright light-based illumination on the image acquisition, deep learning models for the classification of non-defective (OK) and defective (NOK) surfaces that fused dual-modal information at the decision level, and an online network for information dispatching and visualization. …”
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A Delayed Diagnosis of Hemorrhagic Shock in a Patient with Alcoholic Cirrhosis and Ascites on Bedside Ultrasound by Madeline Bach, Julian Choi, Rory A. Smith, Sarkis Arabian

“…Internal medicine practitioners should keep the differential of hemorrhagic shock due to intraabdominal organ injury in mind for patients with undifferentiated shock.…”
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Potential Role of Synaptic Activity to Inhibit LTD Induction in Rat Visual Cortex by Matthew R. Stewart, Hans C. Dringenberg

“…We examined if levels of background electrocorticographic (ECoG) activity influence LTD induction in the thalamocortical visual system of rats under very deep urethane anesthesia, inducing a brain state of reduced spontaneous cortical activity. …”
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Antitumoral and Anti-inflammatory Roles of Somatostatin and Its Analogs in Hepatocellular Carcinoma by Argyrios Periferakis, Georgios Tsigas, Aristodemos-Theodoros Periferakis, Ioana Anca Badarau, Andreea-Elena Scheau, Mircea Tampa, Simona Roxana Georgescu, Andreea Cristiana Didilescu, Cristian Scheau, Constantin Caruntu

“…A complete evaluation of the efficacy of somatostatin and SSAs is still the matter of intense debate, and, if deemed useful, these substances may play a beneficial role in the management of HCC patients.…”
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Unlocking precision medicine: clinical applications of integrating health records, genetics, and immunology through artificial intelligence by Yi-Ming Chen, Tzu-Hung Hsiao, Ching-Heng Lin, Yang C. Fann

“…Machine learning models excel at identifying high-risk patients, predicting disease activity, and optimizing therapeutic strategies based on clinical, genomic, and immunological profiles. Deep learning techniques have significantly advanced variant calling, pathogenicity prediction, splicing analysis, and MHC-peptide binding predictions in genetics. …”
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Acer palmatum 'Dissectum' by Edward F. Gilman

“… Japanese maple (Figure 1) has a height and spread of about 20 feet, but there are much smaller selections available. …”
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The Conventional Non-Articulated SACH or a Multiaxial Prosthetic Foot for Hypomobile Transtibial Amputees? A Clinical Comparison on Mobility, Balance, and Quality of Life by Francesco Paradisi, Anna Sofia Delussu, Stefano Brunelli, Marco Iosa, Roberto Pellegrini, Daniele Zenardi, Marco Traballesi

“…The aim of this study is to compare these two prosthetic feet and assess possible improvements introduced by the increased degrees of freedom provided by the multiaxial foot. …”
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A Bi‐level stacked LSTM‐DNN‐based decoder network for AGC dispatch under regulation market framework in presence of VPP and EV aggregators by Kingshuk Roy, Sanjoy Debbarma, Siddhartha Deb Roy, Liza Debbarma

“…In this context, a bi‐level AGC dispatch approach based on a stacked long short‐term memory (LSTM)‐deep neural network (DNN)‐based decoder framework is proposed for a power system comprising diverse CIGs forming a virtual power plant and electric vehicle aggregators. …”
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Assessing Soil Tolerance Limit for Two Soil Orders Surrounding Sulaimani City by Marwa Abubakr Ahmed, Kamal Sharif Qadir

“…So the Qallachwalan site needs several processes conservation planning than the Bakrajo site which known as more deep and flatty soil. …”
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Masked autoencoder of multi-scale convolution strategy combined with knowledge distillation for facial beauty prediction by Junying Gan, Junling Xiong

“…The multi-scale convolution strategy can expand the receptive field and combine the attention mechanism of the MAE to capture the dependency between distant pixels and acquire shallow and deep image features. Knowledge distillation can take the abundant knowledge from the teacher net to the student net, reduce the number of parameters, and compress the model. …”
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Comparative Evaluations of Selected Pigeon Pea (Cajanus cajan) Genotypes for Biomass Yield, Nutrient Composition, and Dry Matter Intake under Diverse Locations of Tropical Africa by Abuye Tulu, Mekonnen Diribsa, Gutu Fekede, Worku Temesgen, Wakgari Keba, Alemayehu Kumsa

“…Feeding standards of ruminant livestock could be significantly enhanced through the cultivation of improved quality forages, which are suitable for different agroclimatic conditions in tropical Africa. …”
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