Výsledky vyhledávání - "coding datasets"

An implementation science perspective on interventions to reduce Type II occupational violence in acute health: an integrative review - Coding Datasets

Autoři: Christine Couillault

Témata: Public health not elsewhere classified, occupational violence, workplace violence, acute, hospital, implementation, knowledge translation, clinical decision making, Public Health and Health Services not elsewhere classified

Dostupnost: https://doi.org/10.26187/5e70275120e2c
https://figshare.com/articles/dataset/An_implementation_science_perspective_on_interventions_to_reduce_Type_II_occupational_violence_in_acute_health_an_integrative_review_-_Coding_Datasets/21127483

Figure 5—figure supplement 2. Results of shuffling analysis. ; (A–D) The analysis of Foster and Wilson (2007) and (E–F) a corrected analysis. (A) Spike phases were initially calculated by interpolation between theta peaks, shown as dotted lines. (B) After shuffling the phases of spikes, a new spike time is calculated by interpolation between the nearest two theta troughs (dotted lines) to the original spike, which often generates erroneous spike times. The shuffled spike in this case acquires a small phase jitter, but a large temporal jitter. (C) The unshuffled sequence correlations between cell rank order and spike times. The red line shows the mean correlation. (D) Shuffled sequence correlations remained greater than zero, but were significantly reduced relative to the unshuffled case as in experimental data (Foster and Wilson, 2007). (E) Results of a corrected shuffling procedure applied to simulated independent coding datasets and an experimental dataset (height magnified for comparison). Displayed are the average changes in sequence correlations caused by shuffling for each simulated dataset. In 74% of simulated datasets, there was no significant difference between the original and shuffled distributions. (F) Results of the corrected shuffling procedure when applied to datasets simulated with coordinated assemblies. In 81% of simulated coordinated coding datasets, shuffling significantly changed the distribution of sequence correlations. The experimental dataset was not significantly affected by shuffling (p = 0.28, t-test, 2436 putative sequences).

Dostupnost: https://doi.org/10.7554/elife.03542.015

Doxorubicin downregulates cell cycle regulatory hub genes in breast cancer cells.

Autoři: Karthikeyan, Mano Chitra Srinivasan, Chandhru Prabhakar, Kowsika a další

Zdroj: Medical Oncology; Sep2024, Vol. 41 Issue 9, p1-11, 11p

Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

Autoři: Abouelenin, Abdelrahman Ashfaq, Atabak Atkinson, Adam a další

Témata: Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2503.01743

CRISPRlnc: a machine learning method for lncRNA-specific single-guide RNA design of CRISPR/Cas9 system.

Autoři: Yang, Zitian Zhang, Zexin Li, Jing a další

Zdroj: Briefings in Bioinformatics; Mar2024, Vol. 25 Issue 2, p1-14, 14p

Témata: INTERNET servers, MACHINE learning, RNA, LINCRNA, GENOME editing, SUPPORT vector machines, CRISPRS, NUCLEIC acids

CD8TCEI-EukPath: A Novel Predictor to Rapidly Identify CD8⁺ T-Cell Epitopes of Eukaryotic Pathogens Using a Hybrid Feature Selection Approach.

Autoři: Rui-Si Hu Jin Wu Lichao Zhang a další

Zdroj: Frontiers in Genetics; 7/22/2022, Vol. 13, p1-11, 11p

Témata: FEATURE selection, INTERNET servers, EPITOPES, T cells, MACHINE learning, PATHOGENIC microorganisms

DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs

Autoři: Liu, Zhihan Zhang, Shenao Liu, Yongfei a další

Témata: Computer Science - Software Engineering, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2411.13611

CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning

Autoři: Luo, Junyu Wang, Xiaochen Wang, Jiaqi a další

Témata: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computation and Language, text

URL: http://arxiv.org/abs/2402.15700

Evaluating large language models on geospatial tasks: a multiple geospatial task benchmarking study.

Autoři: Xu, Liuchang Zhao, Shuo Lin, Qingming a další

Zdroj: International Journal of Digital Earth; Dec2025, Vol. 18 Issue 1, p1-32, 32p

Témata: GEOSPATIAL data, LANGUAGE models, ROUTE choice, TASK analysis, SPATIAL analysis (Statistics), EVALUATION methodology, TEST validity, BENCHMARK problems (Computer science)

Size matters less: how fine-tuned small LLMs excel in BPMN generation.

Autoři: Soliman, Ghada Abdel Wars, Nour Hesham, Hagar

Zdroj: Journal of Electrical Systems & Information Technology; 11/20/2025, Vol. 12 Issue 1, p1-31, 31p

Témata: BUSINESS process modeling, LANGUAGE models, AUTOMATION software, COMPUTER performance

Trends in collisions and traffic mortality rates in Mexico City: A comparison of six data sources.

Autoři: Herrera Ortiz, Martha Laura Pérez Ferrer, Carolina Quintero Valverde, Carolina a další

Zdroj: PLoS ONE; 10/7/2025, Vol. 20 Issue 10, p1-13, 13p

Témata: TRAFFIC fatalities, DATA quality, COLLISIONS (Physics), CITIES & towns, DATA analysis, TREND analysis, ROAD safety measures

Geografický termín: MEXICO City (Mexico)

A Single-Nucleus Transcriptomic Atlas of the Mouse Lumbar Spinal Cord: Functional Implications of Non-Coding RNAs.

Autoři: Ruiz-Amezcua, Pablo Nieto Hernández, Miguel Flores, Javier García a další

Zdroj: BioTech; Sep2025, Vol. 14 Issue 3, p70, 23p

Témata: NON-coding RNA, RNA sequencing, TRANSCRIPTOMES, NEURONS, CELL physiology, NEUROPLASTICITY, NERVOUS system regeneration, LUMBAR vertebrae

Explainable ICD Code Assignment Using Knowledge-Based Sentence Extraction and Deep Learning.

Autoři: Carberry, Joshua Xu, Haiping

Zdroj: International Journal of Semantic Computing; Sep2025, Vol. 19 Issue 3, p479-504, 26p

Témata: MEDICAL coding, DEEP learning, ARTIFICIAL intelligence, MEDICAL records, EMPIRICAL research, DATA mining, CLASSIFICATION

Diasporic communities' participation in built heritage management: a systematic literature review.

Autoři: Zhou, Yan Spoormans, Lidwine Roders, Ana Pereira

Zdroj: Built Heritage; 7/29/2025, Vol. 9 Issue 1, p1-15, 15p

Témata: COMMUNITY involvement, DIASPORA, SWOT analysis, INTERDISCIPLINARY research, HISTORIC preservation, SUSTAINABILITY, PARTICIPANT observation, PROTECTION of cultural property

Blind Recognition Algorithm of Convolutional Code via Convolutional Neural Network.

Autoři: Pan Deng Zhang, Tianqi Wen, Lianghua a další

Zdroj: International Journal of Intelligent Systems; 7/22/2025, Vol. 2025, p1-12, 12p

Témata: CONVOLUTIONAL neural networks, CONVOLUTION codes, FEATURE extraction, SIGNAL classification, SIGNAL-to-noise ratio

Neurons throughout the brain embed robust signatures of their anatomical location into spike trains.

Autoři: Tolossa, Gemechu Bekele Schneider, Aidan M. Dyer, Eva a další

Zdroj: eLife; 6/27/2025, p1-29, 29p

Congressional rhetoric on Twitter and the crisis of democracy.

Autoři: Miller, Christopher J. Jiang, Yucong

Zdroj: Communication & Democracy; May2025, Vol. 59 Issue 1, p161-204, 44p

Identifying and Mitigating Label Noise in Deep Learning for Image Classification.

Autoři: González-Santoyo, César Renza, Diego Moya-Albor, Ernesto

Zdroj: Technologies (2227-7080); Apr2025, Vol. 13 Issue 4, p132, 17p

Témata: IMAGE recognition (Computer vision), DEEP learning, MACHINE learning, GENERALIZATION, NOISE

Personality assessment and model comparison with behavioral data: A statistical framework and empirical demonstration with bonobos ( Pan paniscus).

Autoři: Martin, Jordan S. Suarez, Scott A.

Zdroj: American Journal of Primatology; Aug2017, Vol. 79 Issue 8, pn/a-N.PAG, 13p

Témata: PRIMATE behavior, PERSONALITY, ANIMAL behavior, ANIMAL communities, ANIMAL communication

A multi-dimensional integrative scoring framework for predicting functional variants in the human genome.

Autoři: Li, Xihao Yung, Godwin Zhou, Hufeng a další

Zdroj: American Journal of Human Genetics. Mar2022, Vol. 109 Issue 3, p446-456. 11p.

Témata: *HUMAN genome, *GENETIC epidemiology, *LIPID analysis, *EXPECTATION-maximization algorithms, *FORECASTING, *DNA-binding proteins