INRNet: Neighborhood Re-Ranking-Based Method for Pedestrian Text-Image Retrieval by Kehao Wang, Yuhui Wang, Lian Xue, Qifeng Li

“…In order to address the issues arising from the above methods, we introduce Implicit Neighbourhood Reranking Network (INRNet) which utilizes a bilateral feature extractor to learn global image-text matching knowledge and leverages nearest neighbors as prior knowledge to mine positive samples. …”
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Evaluation of Olgun Çocuk Dergisi [Mature Child Magazine] (1935) within the Scope of Raising National and Historical Consciousness of Children by Tolgahan Ayantaş, Cengiz Dönmez

“…Specific sections of the journal in every issue were Let’s Learn the Statesmen of the Nation, One Mustafa for a Thousand Enemies, Cinema with Art, In the Animal Land, The Scholar Investigating, Adventures of Yumurcak, Our Articles and Riddles-Puzzles. …”
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Rendre visible les impacts des pesticides du soja : contributions et limites d’un observatoire de science citoyenne à Santarém, Amazonie brésilienne by Emilie Coudel, Stéphanie Nasuti, Danielle Wagner Silva, Marie-Paule Bonnet, Mariana Piva, Beatriz Abreu dos Santos, Ricardo Folhes, Vincent Bonnal, Valéria Fechine, Denise Lima, Carlos José Sousa Passos, Txai Mitt Schwamborn, Ione Nakamura, Gracivane Rodrigues de Moura

“…Young farmers, trained to become "community researchers", have administered 544 questionnaires to family farmers to learn about their practices and assess the changes caused since the arrival of soy. …”
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GFTT: Geographical Feature Tokenization Transformer for SAR-to-Optical Image Translation by Hongbo Liang, Xuezhi Yang, Xiangyu Yang, Jinjin Luo, Jiajia Zhu

“…In addition, we leverage a self-supervisory task to encourage the transformer to learn meaningful semantic correspondence from local and global style patterns. …”
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An Enigmatic Wild Passerine Mortality Event in the Eastern United States by Sabrina S. Greening, Julie C. Ellis, Nicole L. Lewis, David B. Needle, Cristina M. Tato, Susan Knowles, Valerie Shearn-Bochsler, Jaimie L. Miller, Daniel A Grear, Jeffrey M. Lorch, David S. Blehert, Caitlin Burrell, Lisa A. Murphy, Erica A. Miller, C. Brandon Ogbunugafor, Andrea J. Ayala, W. Kelley Thomas, Joseph L. Sevigny, Lawrence M. Gordon, Tessa Baillargeon, Lusajo Mwakibete, Megan Kirchgessner, Christine L. Casey, Ethan Barton, Michael J. Yabsley, Eman Anis, Roderick B. Gagne, Patrice Klein, Cindy Driscoll, Chelsea A. Sykes, Robert H. Poppenga, Nicole M. Nemeth

“…Many events also are short-lived and go undocumented, making it difficult to draw on lessons learned from past investigations. We report on the response to a mortality event observed predominantly in wild passerines in the eastern United States. …”
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‘Just because something works doesn’t mean it can’t be improved’: an ethnographic analysis of the health system in Black Panther’s Wakanda by Jennifer Jackson, Carla Ferreira, Samantha Perry, Carla Ginn, Melissa Scott, Elke Jaibeeh Barah, Zahra Upal, Krista Phelps, Carol Mei, Haneul Woo, Megan Tung, Farida Gadimova, Alexandra Ewanyshyn, Twyla Ens

“…This current climate creates an opportunity to learn from equitable health systems and move toward making fundamental changes to healthcare systems. …”
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Fault Diagnosis of Magnetically Controlled On-Column Circuit Breaker Based on Small Sample Condition by He Tian, Chao Liang, Wenpeng Ma, Tianchang Zhang

“…Initially, a Variational Autoencoder (VAE) is employed to extract the latent distribution of genuine samples, which are then integrated with the Auxiliary Classifier Generative Adversarial Network (ACGAN) generator to learn the characteristics of real data. Subsequently, to address the problem of real-world operational data being susceptible to noise, a Stacked Denoising Autoencoder (SDAE) is utilized as the discriminator in the ACGAN framework. …”
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Fine-Grained Classification via Hierarchical Feature Covariance Attention Module by Yerim Jung, Nur Suriza Syazwany, Sujeong Kim, Sang-Chul Lee

“…In the deep convolutional neural network, the covariance between feature maps positively affects the selection of features to learn discriminative regions automatically. In this study, we propose a method for a fine-grained classification model by inserting an attention module that uses covariance characteristics. …”
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Revolutionizing RIS Networks: LiDAR-Based Data-Driven Approach to Enhance RIS Beamforming by Ahmad M. Nazar, Mohamed Y. Selim, Daji Qiao

“…This extension enables the GNN to effectively learn the mapping from received pilots to optimal beamformers and reflection coefficients to maximize the RIS-assisted sumrate among multiple users. …”
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Hybrid Intersection Over Union Loss for a Robust Small Object Detection in Low-Light Conditions by Twahir Kiobya, Junfeng Zhou, Baraka Maiseli, Maqbool Khan

“…Also, it jointly works with the classification loss to offer a joint optimization that facilitates a network to learn features that are important for both localization and classification. …”
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The Role of Morphological Information in Processing Pseudo-words in Italian L2 Learners: It’s a Matter of Experience by Simona Amenta, Francesca Foppolo, Linda Badan

“…The productive use of morphological information is considered one of the possible ways in which speakers of a language understand and learn unknown words. In the present study we investigate if, and how, also adult L2 learners exploit morphological information to process unknown words by analyzing the impact of language proficiency in the processing of novel derivations. …”
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Integrating an interprofessional educational exercise into required medical student clerkships – a quantitative analysis by Jennifer E. Schwartz, Paul Ko, Stephanie Freed, Neelum Safdar, Megan Christman, Renee Page, Deborah R. Birnbaum, Paul M. Wallach

“…Abstract Purpose Medical students are integrated into an interprofessional team to help them learn how to provide effective, patient-centered care. …”
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Combined flow prediction model for natural gas pipeline network based on EMD-Attention-GRU by Jiacheng MEN, Yuguang FAN, Lin GAO, Hongxian LIN, Ke ZHANG

“…Specifically, the model is to substitute the raw flow data of the natural gas pipeline network with its time series component obtained through Empirical Mode Decomposition (EMD), input the intrinsic mode function component obtained into the GRU neural network, calculate the attention probability weight at different times with the attention integrated into the network, and finally learn in the network and predict the time series of flow in the natural gas pipeline network. …”
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Construction and iterative redesign of synXVI a 903 kb synthetic Saccharomyces cerevisiae chromosome by Hugh D. Goold, Heinrich Kroukamp, Paige E. Erpf, Yu Zhao, Philip Kelso, Julie Calame, John J. B. Timmins, Elizabeth L. I. Wightman, Kai Peng, Alexander C. Carpenter, Briardo Llorente, Carmen Hawthorne, Samuel Clay, Niël van Wyk, Elizabeth L. Daniel, Fergus Harrison, Felix Meier, Robert D. Willows, Yizhi Cai, Roy S. K. Walker, Xin Xu, Monica I. Espinosa, Giovanni Stracquadanio, Joel S. Bader, Leslie A. Mitchell, Jef D. Boeke, Thomas C. Williams, Ian T. Paulsen, Isak S. Pretorius

“…LoxPsym sites inserted downstream of dubious open reading frames impacted the 5’ UTR of genes required for optimal growth and were identified as a systematic cause of defective growth. Based on lessons learned from analysis of Sc2.0 defects and synXVI, an in-silico redesign of the synXVI chromosome was performed, which can be used as a blueprint for future synthetic yeast genome designs. …”
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Institutional community engagement leader perspectives on supporting ethical community-engaged research by Stephanie Solomon Cargill, Nancy Shore, Rachel Olech, Phoebe Friesen, Jessica Rowe, Sana Khoury-Shakour, Emily E. Anderson

“…Methods: As part of a larger interview study aiming to learn more about how institutional CE programs and HRPPs work together, we analyzed interviews with CE program leaders at academic medical centers that receive funding from the NIH CTSA program to identify barriers and strategies to conducting CEnR at their institutions, primarily focusing on the relationships with Institutional Review Boards (IRBs). …”
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CSO (Canadian Society of Otolaryngology - Head & Neck Surgery) position paper on rhinologic and skull base surgery during the COVID-19 pandemic by Yvonne Chan, Sarfaraz M. Banglawala, Christopher J. Chin, David W. J. Côté, Dustin Dalgorf, John R. de Almeida, Martin Desrosiers, Richard M. Gall, Artur Gevorgyan, A. Hassan Hassan, Arif Janjua, John M. Lee, Randy M. Leung, Bradford D. Mechor, Dominik Mertz, Eric Monteiro, Smriti Nayan, Brian Rotenberg, John Scott, Kristine A. Smith, Doron D. Sommer, Leigh Sowerby, Marc A. Tewfik, Andrew Thamboo, Allan Vescan, Ian J. Witterick

“…Given that the literature surrounding COVID-19 is rapidly evolving, these recommendations will serve to start our specialty back into elective rhinologic surgeries over the next months and they may change as we learn more about this disease.…”
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Multimodal Autism Spectrum Disorder Method Using GCN With Dual Transformers by Tianming Song, Zhe Ren, Jian Zhang, Yawei Qu, Yingying Cui, Zhengda Liang

“…The second Transformer is employed to enhance the fusion of these temporal features with spatial features learned by the GCN, effectively combining both dimensions of the neuroimaging data. …”
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Enhancing zero-shot stance detection via multi-task fine-tuning with debate data and knowledge augmentation by Qinlong Fan, Jicang Lu, Yepeng Sun, Qiankun Pi, Shouxin Shang

“…This approach aims to learn and transfer the capability of zero-shot stance detection and reasoning analysis from relevant data. …”
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Super-Resolution Reconstruction of Motor Long-Wave Infrared Images Based on Improved USR-Net by Darong Zhu, Ziyan Sun, Fangbin Wang

“…Experimental results indicate that, for 2x degraded images, the proposed method achieves a Peak Signal-to-Noise Ratio (PSNR) value exceeding 41 dB, outperforming other methods, with the Structural Similarity Index (SSIM) reaching 0.9872. Furthermore, the Learned Perceptual Image Patch Similarity (LPIPS) value for 2x degraded images is below 0.095. …”
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Passive and active suppression of transduced noise in silicon spin qubits by Jaemin Park, Hyeongyu Jang, Hanseo Sohn, Jonginn Yun, Younguk Song, Byungwoo Kang, Lucas E. A. Stehouwer, Davide Degli Esposti, Giordano Scappucci, Dohun Kim

“…The technique can be used to learn multiple Hamiltonian parameters and is useful for the intermittent calibration of the circuit parameters with affordable experimental overhead, providing a useful subroutine during the repeated execution of general quantum circuits.…”
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