Predicting the hospitalization burdens of patients with mental disease: a multiple model comparison by Lu Hou, Lu Hou, Jing Zhang, Jing Zhang, Li Li, Yelin Weng, Ziyu Yang, Zhiguo Liu

“…The data were then cleaned to remove missing values and outliers, and key features related to the HB were extracted. …”
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Analyzing and Predicting the Agronomic Effectiveness of Fertilizers Derived from Food Waste Using Data-Driven Models by Ksawery Kuligowski, Quoc Ba Tran, Chinh Chien Nguyen, Piotr Kaczyński, Izabela Konkol, Lesław Świerczek, Adam Cenian, Xuan Cuong Nguyen

“…These findings highlight machine learning’s ability to analyze complex datasets, improve agricultural decision-making, and optimize food waste utilization.…”
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Winter wheat mapping using unbalanced multi-source remote sensing data by Haofei Li, Xiaohui He, Mengjia Qiao, Haonan Sun, Jinlan Kong, Xijie Cheng, Panle Li, Jian Zhang, Renyi Liu, Jiandong Shang

“…However, the distinct imaging mechanisms of multi-source sensors present challenges, particularly when optical remote sensing data suffers from missing information due to atmospheric conditions. …”
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Effectiveness of ChatGPT for Clinical Scenario Generation: A Qualitative Study by Faezeh Ghaffari, Mostafa Langarizadeh, Ehsan Nabovati, Mahdieh Sabery

“…This study aimed to evaluate ChatGPT’s ability to generate realistic simulation scenarios to assist faculty as a significant challenge in medical education. …”
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Evaluating the Intelligence of large language models: A comparative study using verbal and visual IQ tests by Sherif Abdelkarim, David Lu, Dora-Luz Flores, Susanne Jaeggi, Pierre Baldi

“…Large language models (LLMs) excel on many specialized benchmarks, yet their general-reasoning ability remains opaque. We therefore test 18 models – including GPT-4, Claude 3 and Gemini Pro – on a 14-section IQ suite spanning verbal, numerical and visual puzzles and add a “multi-agent reflection” variant in which one model answers while others critique and revise. …”
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Navigating Coastal Vulnerability: Introducing the Coastal Fuzzy Vulnerability Index (CFVI) by Zekâi Şen

“…This study optimized the coastal vulnerability assessment method through fuzzy logic, improved the ability to handle nonlinear relationships between parameters, and provided a new tool for complex and dynamic coastal risk management. …”
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Tropical cyclone track prediction harnessing deep learning algorithms: A comparative study on the Northern Indian Ocean by Sabbir Rahman, M. Fahim Faisal, Prianka Mondal, Md. Mahfuzur Rahman

“…In contrast, GRU exhibits higher error rates, with RMSE reaching 1.97 km and MAPE increasing to 6.74% for intense storms, while RNN struggles significantly with RMSE exceeding 2.98 km and MAPE rising to 17.72% for extreme events. LSTM's ability to adapt to temporal variations and handle missing or noisy data makes it particularly well-suited for operational forecasting. …”
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MHAGuideNet: a 3D pre-trained guidance model for Alzheimer’s Disease diagnosis using 2D multi-planar sMRI images by Yuanbi Nie, Qiushi Cui, Wenyuan Li, Yang Lü, Tianqing Deng

“…Within the guidance of information from the 3D pre-trained CNN, the ability to leverage multi-planar information and capture subtle brain changes, including the interrelations between different structural atrophies, underscores its potential for clinical application.…”
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Gene regulatory network resource aids in predicting trans-acting regulators of biosynthetic gene clusters in Aspergillus fumigatus by Hye-won Seo, Jin Woo Bok, Nancy P. Keller

“…Computational programs have gained prominence in the field of secondary metabolite research due to their accuracy and ability to handle vast amounts of data, including DNA, RNA, and protein data. …”
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All-Cause Mortality Prediction in Subjects with Diabetes Mellitus Using a Machine Learning Model and Shapley Values by Oana Mirea, Mostafa Ghelich Oghli, Oana Neagoe, Mihaela Berceanu, Eugen Țieranu, Liviu Moraru, Victor Raicea, Ionuț Donoiu

“…Conclusions: ML models can become valuable tools in clinical practice due to their unique ability to simultaneously assess the cumulative influence of multiple parameters and discover high-order interactions. …”
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Human Brain-Inspired Network Using Transformer and Feedback Processing for Cell Image Segmentation by Hinako Mitsuoka, Kazuhiro Hotta

“…Therefore, to supplement or reinforce the missing information, we hypothesized that feedback processing in the visual cortex of the human brain could be highly effective. …”
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Experimental Evaluation of Thermo-Mechanical Properties of GRCop-42, Produced by PBF-LB, at Low Temperatures by Daniele Cortis, Cristina Giancarli, Francesco Ferella, Chiara Di Donato, Riccardo Elleboro, Alessandro Razeto, Stefano Nisi, Donato Orlandi

“…The results showed that the material can maintain high strength even at low temperatures, without losing ductility and the ability to store strain energy; moreover, after heat treatment, it increases its thermal properties due to the way the precipitates are dispersed in the copper matrix.…”
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A contemporary view of the mechanisms of formation of new contaminants in vegetable oils – esters of monochloropropanediols and high molecular weight carboxylic acids by E. A. Butina, I. A. Dubrovskaya, E. O. Gerasimenko, S. A. Kalmanovich

“…According to the degree of increase in inhibitory ability, the most applicable antioxidants in lipid systems can be ranked as follows: α-tocopherol, BOA, BOT, AP, PG and TBHQ. …”
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Representation of women and pregnant women in HIV research: a limited systematic review. by Daniel Westreich, Molly Rosenberg, Sheree Schwartz, Geeta Swamy

“…<h4>Limitations</h4>Data were missing for some key variables, including pregnancy. …”
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MUXAS-VR: A Multi-Dimensional User Experience Assessment System for Virtual Reality by Peerawat Pannattee, Yosuke Fukuchi, Nobuyuki Nishiuchi

“…They also tend to overlook attributes of the visual stimuli, use simplistic multimodal fusion techniques, and focus on a single UX dimension, all of which reduce their ability to provide a comprehensive and accurate assessment of UX. …”
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Research on Ship Engine Fuel Consumption Prediction Algorithm Based on Adaptive Optimization Generative Network by Defu Zhang, Yuxuan Song, Jianfeng Gao, Zhenyu Shen, Liangkuan Li, Anren Yao

“…To address common issues in marine engine operational data, such as noise pollution, missing values, inconsistent scales, and feature redundancy, a Diesel Engine Data Enhancement and Optimization Framework (DEOF) was developed to systematically improve data quality. …”
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The effect of varietal traits of durum wheat on the technological and baking qualities of flour when mixed with bread wheat by E. N. Shabolkina, N. V. Anisimkina

“…There has been established that the high gas-forming ability of durum wheat allows it to be used (30%) as bread wheat improver during baking. …”
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Finnish national patient data repository as data source for FINRISK risk calculator by Viljami Männikkö, Henna Kujanen, Joona Munukka, Klaus Förger

“…The first is the availability of individual inputs, and the second is the ability to categorize people to risk categories used in healthcare. …”
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A 3D Surface Reconstruction Pipeline for Plant Phenotyping by Lina Stausberg, Berit Jost, Lasse Klingbeil, Heiner Kuhlmann

“…In recent years, 3D sensing systems such as laser scanners have gained popularity due to their ability to capture structural plant parameters that are difficult to obtain using spectral sensors. …”
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Early childhood undernutrition, preadolescent physical growth, and cognitive achievement in India: A population-based cohort study. by Apurv Soni, Nisha Fahey, Zulfiqar A Bhutta, Wenjun Li, Jean A Frazier, Tiffany Moore Simas, Somashekhar M Nimbalkar, Jeroan J Allison

“…Study limitations include observational and missing data, which limit our ability to draw strong causal inferences.…”
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