Prediction of digestible energy requirement in growing finishing stage of pigs using machine learning models by Nibas Chandra Deb, Jayanta Kumar Basak, Sijan Karki, Elanchezhian Arulmozhi, Dae Yeong Kang, Niraj Tamrakar, Eun Wan Seo, Junghoo Kook, Myeong Yong Kang, Hyeon Tae Kim

“…While evaluating the model's performance under different datasets, it was observed that the RFR model exhibited the best performance with DS4, explaining over 97 % and 95 % of actual and predicted data during the training and testing phases, respectively, while MLR model demonstrated the worst accuracy (R2 < 0.93 and RMSE >6.1 MJ/pig day) compared to the other models. …”
Get full text

Is It Still Prohibited to Perform Spinal Anesthesia in Patients with Advanced Heart Disease? by Maryam Vosoughian, Shide Dabir, Faramarz Mosaffa

“…In longer surgeries, epidural catheters can be inserted through the epidural needle into the intraspinal space and intermittently administered low doses of local anesthetic plus low doses of fentanyl or sufentanil as needed. …”
Get full text

Investigating the Use of Generative Adversarial Networks-Based Deep Learning for Reducing Motion Artifacts in Cardiac Magnetic Resonance by Ma ZP, Zhu YM, Zhang XD, Zhao YX, Zheng W, Yuan SR, Li GY, Zhang TL

“…These datasets were used to establish and train a deep learning GAN model. …”
Get full text

Cricketing Insights Unveiled: Python-Based Information Extraction from IPL by Kubra Bashir, Afsheen Maroof, Fatima Maqbool, Kiran Bashir, Syeda Iqra Hassan

“…Data analysis aims to extract valuable insights from large datasets and facilitate informed decision-making. It plays a pivotal role across various fields, including healthcare, business, education, sports, and entertainment. …”
Get full text

Enhancing Classification Models With Sophisticated Counterfactual Images by Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

“…Furthermore, 3) we combined counterfactual images into datasets to fine-tune the model, thus correcting the model&#x0027;s perception of feature relationships. …”
Get full text

Investigating Postoperative Urinary Retention: Risk Factors and Postsurgical Outcomes in Total Joint Arthroplasty by Madeleine J.F. Powers, MSIII, Zachary T. Grace, MD, Barrett B. Torre, MD, Dorothy B. Wakefield, MS, Laura Sanzari, MS, BSN, RN, Matthew J. Grosso, MD

“…For POUR management, patients receiving 4+ catheters were at a 10-fold risk for renal/infectious complications compared to those without catheterization. …”
Get full text

Comparing ChatGPT And LSTM In Predicting Changes In Quarterly Financial Metrics by Vitali Chaiko

“…The methodology involves preprocessing large datasets from Twitter concerning major companies such as Amazon, Google, and Tesla, training LSTM models, and prompt engineering for ChatGPT-based predictions. …”
Get full text

Super-resolved microstructure of pyrolyzing superlight ablators by Collin W. Foster, Sreevishnu Oruganti, Francesco Panerai

“…A super-resolution methodology was implemented, where high-resolution tomography scans were applied to denoise, segment and analyze lower-resolution in situ datasets that captured a large field of view. This multi-scale approach enabled the quantification of morphological and effective properties as a function of temperature during degradation, while also relating these changes to relevant decomposition chemistry. …”
Get full text

One size fits all: Enhanced zero-shot text classification for patient listening on social media by Veton Matoshi, Maria Carmela De Vuono, Roberto Gaspari, Mark Kröll, Michael Jantscher, Sara Lucia Nicolardi, Giuseppe Mazzola, Manuela Rauch, Vedran Sabol, Eileen Salhofer, Riccardo Mariani

“…Recent advancements in Artificial Intelligence (AI), especially in Natural Language Processing (NLP), have enabled the analysis of vast social media datasets, also called Social Media Listening (SML), providing insights not only into patient perspectives but also into those of other interest groups such as caregivers. …”
Get full text

The biodiversity survey of the Cape (BioSCape), integrating remote sensing with biodiversity science by Anabelle W. Cardoso, Erin L. Hestir, Jasper A. Slingsby, Cherie J. Forbes, Glenn R. Moncrieff, Woody Turner, Andrew L. Skowno, Jacob Nesslage, Philip G. Brodrick, Keith D. Gaddis, Adam M. Wilson

“…The Biodiversity Survey of the Cape (BioSCape) addresses this need by integrating field, airborne, satellite, and modeling datasets to advance the limits of global remote sensing of biodiversity. …”
Get full text

Uncertainty-based quantization method for stable training of binary neural networks by A.V. Trusov, D.N. Putintsev, E.E. Limonova

“…To evaluate UBQ, we conducted experiments on the MNIST and CIFAR-10 datasets and compared our method to existing algorithms. …”
Get full text

Climate and population: risk exposure to precipitation concentration in mainland Spain (1950-2010) by Roberto Serrano Notivoli, María Zúñiga-Antón, Ángel Pueyo, Santiago Beguería, Miguel Ángel Saz, Martín de Luis

“…For that, two complementary high-resolution gridded datasets, one of population potentials and another one of precipitation concentration, are combined. …”
Get full text

Integrating artificial intelligence into healthcare systems: opportunities and challenges by Bongs Lainjo

“…Moreover, the development of high-quality and diverse datasets is essential to improve data sharing and enhance decision-making accuracy in healthcare. …”
Get full text

Investigating of Machine Learning Based Algorithms for Liver Cirrhosis Prediction by Young Choi, Eunsung Oh

“…Through comprehensive experimentation and rigorous evaluation using liver cirrhosis datasets, the research demonstrates the effectiveness of the proposed methodology in addressing the research gap and yielding notably accurate predictions. …”
Get full text

A spatial inventory of freshwater macroinvertebrate occurrences in the Guineo-Congolian biodiversity hotspot by Emmanuel O. Akindele, Abiodun M. Adedapo, Oluwaseun T. Akinpelu, Esther D. Kowobari, Oluwatosin C. Folorunso, Ibrahim R. Fagbohun, Tolulope A. Oladeji, Olanrewaju O. Aliu, Oluwatobiloba S. Adenola, Babasola W. Adu, Francis O. Arimoro, Sylvester S. Ogbogu, Sami Domisch

“…Hence, for any biogeographic analysis, species distribution modelling or conservation initiative, it is crucial to use datasets that are, to the largest possible extent, free of spatial and taxonomic errors. …”
Get full text

Human mobility is well described by closed-form gravity-like models learned automatically from data by Oriol Cabanas-Tirapu, Lluís Danús, Esteban Moro, Marta Sales-Pardo, Roger Guimerà

“…These models work for different datasets and at different scales, suggesting that they may capture the fundamental universal features of human mobility.…”
Get full text

RL4CEP: reinforcement learning for updating CEP rules by Afef Mdhaffar, Ghassen Baklouti, Yassine Rebai, Mohamed Jmaiel, Bernd Freisleben

“…Our experimental results based on three financial trading rules and eight financial datasets demonstrate the merits of RL4CEP in improving the overall profit, when compared to baseline and state-of-the-art approaches, with a reasonable consumption of resources, i.e., RAM and CPU. …”
Get full text

A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis by Fenglin Liu, Zheng Li, Qingyu Yin, Jinfa Huang, Jiebo Luo, Anshul Thakur, Kim Branson, Patrick Schwab, Bing Yin, Xian Wu, Yefeng Zheng, David A. Clifton

“…Our approach achieves encouraging performances on nine datasets, including 2 infectious and 14 non-infectious diseases.…”
Get full text

Survey on terminology extraction from texts by Kang Xu, Yifan Feng, Qiandi Li, Zhenjiang Dong, Jianxiang Wei

“…The survey encompasses definitions of pertinent issues and concepts, a systematic classification of proposed methodologies, an exploration of the associated datasets and tools, among other aspects. To the best of our knowledge, this is the first review that systematically summarizes the work of terminology extraction based on language models (LMs), offering comprehensive guidance resources for researchers and practitioners in the field. …”
Get full text

Robust underwater object tracking with image enhancement and two-step feature compression by Jiaqing Li, Chaocan Xue, Xuan Luo, Yubin Fu, Bin Lin

“…The excellent performance of the proposed method is demonstrated through evaluation on two public UOT datasets.…”
Get full text