Large language models predict cognition and education close to or better than genomics or expert assessment by Tobias Wolfram

“…Integrating various measures of computational linguistics and large language model-based embeddings within a SuperLearner framework trained on short aspirational essays written at age 11, we accurately predict cognition and non-cognitive traits at the same and later age to a similar degree as teacher assessments, and better than genomic data. …”
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Research and Application Analysis on the Real-time Axle Temperature Monitoring and Diagnosis Logic of High-speed Multiple Units by HUANG Di, LI Zixian, HOU Zhaowen, LIU Can, LIN Bo, ZANG Xiaobin

“…The conventional diagnostic logics for hotbox warning/alarms are mainly based on predefined absolute temperature thresholds and temperature rising slope thresholds. …”
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Improved generative adversarial networks model for movie dance generation. by Zhiqun Lin, Kexin Feng

“…To address the challenges of innovation and efficiency in film choreography, this study proposes a dance generation model based on the generative adversarial networks. The model is trained using the AIST++ dance motion dataset, incorporating data from multiple dance styles to ensure that the generated dance sequences accurately mimic various stylistic and technical characteristics. …”
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Automated crowdturfing attack in Chinese user reviews by Li’na WANG, Xiaodong GUO, Run WANG

“…The text-oriented automated crowdturfing attack has a series of features such as low attack cost and strong concealment.This kind of attack can automatically generate a large number of fake reviews,with harmful effect on the healthy development of the user review community.In recent years,researchers have found that text-oriented crowdturfing attacks for the English review community,but there was few research work on automated crowdsourcing attacks in the Chinese review community.A Chinese character embedding LSTM model was proposed to automatically generate Chinese reviews with the aim of antomated crowdturfing attacks,which model trained by a combination with Chinese character embedding network,LSTM network and softmax dense network,and a temperature parameter T was designed to construct the attack model.In the experiment,more than 50 000 real user reviews were crawled from Taobao's online review platform to verify the effectiveness of the attack method.Experimental results show that the generated fake reviews can effectively fool linguistics-based classification detection approach and texts plagiarism detection approach.Besides,the massive manually evaluation experiments also demonstrate that the generated reviews with the proposed attack approach perform well in reality and diversity.…”
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Determining respiratory rate from photoplethysmogram and electrocardiogram signals using respiratory quality indices and neural networks. by Stephanie Baker, Wei Xiang, Ian Atkinson

“…When trained and tested using 60-sec waveform segments, the proposed scheme achieved an MAE of 0.638 breaths per minute. …”
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Command Change in System of Military Economy in Russian Army in the First Half of the 19^th Century by S. V. Andriaynen

“…The article is devoted to the analysis of military economy of the Russian army in the first half of the 19th century. The features of functioning of the regimental and company trains are covered. …”
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BertADP: a fine-tuned protein language model for anti-diabetic peptide prediction by Xueqin Xie, Changchun Wu, Yixuan Qi, Shanghua Liu, Jian Huang, Hao Lyu, Fuying Dao, Hao Lin

“…Results In this study, we introduce a fine-tuning strategy of large-scale pre-trained protein language models (PLMs) for ADPs prediction, enabling automated extraction of discriminative semantic representations. …”
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Comparative performance analysis of end-to-end ASR models on Indo-Aryan and Dravidian languages within India’s linguistic landscape by Palash Jain, Anirban Bhowmick

“…Using four transformer-based pre-trained models—Wav2Vec2.0-base, XLSR-53, W2V2-BERT, and Whisper small—the analysis explores their adaptability to these languages’ linguistic features, with word error rate (WER) and character error rate (CER) serving as evaluation metrics. …”
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Intelligent pattern design using 3D modelling technology for urban sculpture designing by Wei Wan

“…The GAN-based image development module reestablishes incapacitated or low-resolution sculpture photos, and the pre-trained CNN usages transfer learning to retrieve thorough features. …”
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TRANSPORT FORCE AND THE INDEX OF THE DEVELOPMENT POTENTIAL OF HEAVY TRAFFIC AS NEW INDICATORS OF THE USE OF A TRACTION BUSINESS RESOURCE by Oksana D. Pokrovskaya

“…An attempt has been made to systematize the components of a traction business resource and focus them into a single system of indicators, taking into account local technical and technological features and a number of parameters.…”
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Radiomics to predict tumor response to combination chemoradiotherapy in squamous cell carcinoma of the anal canal: a preliminary investigation by Andrea Vanzulli, Lucilla Violetta Sciacqua, Filippo Patti, Roza Drebot, Eros Montin, Riccardo Lattanzi, Laura Anna Maria Lozza, Sergio Villa, Davide Scaramuzza

“…Results Models trained with gray-level co-occurrence matrix features achieved the best performances (accuracy 0.846 ± 0.064, sensitivity 0.900 ± 0.122, specificity 0.833 ± 0.175, area under receiver operating characteristics curve 0.867 ± 0.055), highlighting a more homogeneous distribution of voxel intensities and lower spatial complexity in non-CR patients. …”
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Invariant Representation Learning in Multimedia Recommendation with Modality Alignment and Model Fusion by Xinghang Hu, Haiteng Zhang

“…Next, we generate invariant masks based on the identification of heterogeneous environments to learn invariant representations. …”
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Principles of development of social entrepreneurship: foreign approaches and Kazakhstan by K. B. Kanapiyanova, R. M. Ruzanov

“…This article examines the criteria for the development of social entrepreneurship in the world, including Europe, the United States, and Asian countries, identifies the drivers of socially oriented activities, and presents possible ways to develop social entrepreneurship in the Kazakh economy. Based on the comparative analysis, the features of state support for social entrepreneurship in the world space are identified and the characteristics of the main driving forces that contribute to the emergence and development of social entrepreneurship are presented. …”
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Divergent patterns of global tuna fishing fleet dynamics among different continents by Xin Cheng, Bo Zhang, Yanan Li, Hongyu Lin, Xinjun Chen, Fan Zhang

“…When only considering the dynamic features, the classification models trained by European and North American fleets are applicable to fleets from most other continents but not vice versa, suggesting that the European and North American fleets exhibited more diverse and generic dynamics than the other continents. …”
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Your Cursor Reveals: On Analyzing Workers’ Browsing Behavior and Annotation Quality in Crowdsourcing Tasks by Pei-Chi Lo, Ee-Peng Lim

“…With the collected data, we train several prediction models using behavior features corresponding to different aspects of user attention and conduct experiments on a set of annotation tasks performed by 51 Amazon Mechanical Turk workers. …”
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Prediction of biochemical prostate cancer recurrence from any Gleason score using robust tissue structure and clinically available information by Laura E. Marin, Daniel I. Zavaleta-Guzman, Jessyca I. Gutierrez-Garcia, Daniel Racoceanu, Fanny L. Casado

“…A U-net model was used to segment phenotypic features and trained on images from the Prostate Cancer Grade Assessment (PANDA) database to segment tumorous regions from pre-processed and scored WSI of biopsies. …”
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Performance of a Retinal Imaging Camera With On-Device Intelligence for Primary Care: Retrospective Study by Matthew Silvestrini, Clarissa Lui, Anil Patwardhan, Ying Chen, Tayyeba Ali, Elie Glik, Honglei Wu, Brian Levinstein, Adrianna Wenz, Nathan Shemonski, Lin Yang, Ian Atkinson, Sam Kavusi

“…MethodsWe developed a nonmydriatic, 45° field imaging retinal camera system, the Verily Numetric Retinal Camera (VNRC; Verily Life Sciences LLC), able to generate high-fidelity retinal images enabled by on-device intelligent features. The VNRC output flows into cloud-based software that accepts and routes digitized images for grading. …”
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Robust molecular subgrouping and reference-free aneuploidy detection in medulloblastoma using low-depth whole genome bisulfite sequencing by Dean Thompson, Jemma Castle, Martin Sill, Stefan M. Pfister, Simon Bailey, Debbie Hicks, Steven C. Clifford, Edward C. Schwalbe

“…Abstract Medulloblastoma comprises four principal molecular disease groups and their component subgroups, each with distinct molecular and clinical features. Group assignment is currently achieved diagnostically using Illumina DNA methylation microarray. …”
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A dataset of sandfly (Phlebotomus papatasi, Phlebotomus alexandri, and Phlebotomus sergenti) genital and pharyngeal imagesMendeley Data by Mohammad Fraiwan, Rami Mukbel, Dania Kanaan

“…Most of the sexing and taxonomy keys are based on internal morphological features, which may lead to errors due to some features being missed by the naked eye. …”
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Fault Diagnosis Across Aircraft Systems Using Image Recognition and Transfer Learning by Lilin Jia, Cordelia Mattuvarkuzhali Ezhilarasu, Ian K. Jennions

“…With advances in machine learning, the fault diagnosis of aircraft systems is becoming more efficient and accurate, which makes condition-based maintenance possible. However, current fault diagnosis algorithms require abundant and balanced data to be trained, which is difficult and expensive to obtain for aircraft systems. …”
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