Amortissement des phonons dans un superfluide 2D : insuffisance de la règle d’or de Fermi à basse température by Castin, Yvan, Serafin, Alan, Sinatra, Alice

“…Using the many-body Green’s function method, we predict that, unexpectedly, this is not true in two dimensions, contrary to the three-dimensional case. …”
Get full text

On the use of kolmogorov–arnold networks for adapting wind numerical weather forecasts with explainability and interpretability: application to madeira international airport by Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias

“…The research addresses the limitations of traditional numerical weather prediction models, which often fail to accurately forecast localized wind patterns. …”
Get full text

Impact of Climate Change and Air Pollution Forecasting Using Machine Learning Techniques in Bishkek by Erkin Isaev, Boobek Ajikeev, Urmatbek Shamyrkanov, Kenjebek-uulu Kalnur, Karimov Maisalbek, Roy C. Sidle

“…We evaluate the performance of several machine learning algorithms applied to air quality and meteorology datasets and compare prediction accuracies of Bishkek air quality given its significant public importance. …”
Get full text

SiameseNet based on multiple instance learning for accurate identification of the histological grade of ICC tumors by Zhizhan Fu, Fazhi Feng, Xingguang He, Tongtong Li, Xiansong Li, Jituome Ziluo, Zixing Huang, Jinlin Ye

“…Timely and accurate identification of ICC histological grade is critical for guiding clinical diagnosis and treatment planning.MethodWe proposed a dual-branch deep neural network (SiameseNet) based on multiple-instance learning and cross-attention mechanisms to address tumor heterogeneity in ICC histological grade prediction. The study included 424 ICC patients (381 in training, 43 in testing). …”
Get full text

Comparing imputation approaches to handle systematically missing inputs in risk calculators. by Anja Mühlemann, Philip Stange, Antoine Faul, Serena Lozza-Fiacco, Rowan Iskandar, Manuela Moraru, Susanne Theis, Petra Stute, Ben D Spycher, David Ginsbourger

“…The considered approaches predict missing inputs from available ones. In the case of probabilistic imputation, this leads to probabilistic prediction of the risk. …”
Get full text

Understanding integrative approach of translational bioinformatics on cardiovascular disease: Myocardial Ischemia by Yeswanth Ranganathan, Saayaa Nazar, Ravi Shankar Krishnan, Yuvaraj Dinakarkumar, Vijayalakshmi Varadarajan, Lenita Sebastian, Brindha Rethinam

“…Translational bioinformatics bridges the gap between biological discoveries and clinical applications, enabling early disease identification, therapy response confirmation, and prognosis prediction. It facilitates the integration and analysis of vast amounts of clinical data, hence advancing clinical research and enhancing therapeutic approaches. …”
Get full text

Novel Optimization Algorithms Usage to Model the Compressive Strength of Ultra-High-Performance Concrete in Machine Learning Technique: Support Vector Regression by Tianhua Zhou, Dorota Mozyrska

“…This study suggested a machine learning method for predicting the CS of UHPC including support vector regression (SVR). …”
Get full text

Prognostic value of the lactate dehydrogenase to albumin ratio in advanced non-small cell lung cancer patients treated with the first-line PD-1 checkpoint inhibitors combined with... by Meifeng Luo, Huiting Wei, Moqin Qiu, Cuiyun Su, Ruiling Ning, Shaozhang Zhou

“…The receiver operating characteristic (ROC) analysis determined the optimal LAR cutoff values for prediction. Univariate and multivariate analyses identified independent prognostic factors, and survival curves were estimated using the Kaplan-Meier method. …”
Get full text

Evaluation of PM2.5 Surface Concentrations Simulated by NASA’s MERRA Version 2 Aerosol Reanalysis over India and its Relation to the Air Quality Index by Chimurkar D. Navinya, V. Vinoj, Satyendra K. Pandey

“…While the Central Pollution Control Board (CPCB) measured exceedances of the national ambient air quality standards (NAAQS) on 34% of the days, MERRA-2’s prediction was only 11%, and its estimate of the annual average PM2.5 concentration across all of the sites was also negatively biased, by ~27 µg m−3. …”
Get full text

Data stochasticity and model parametrisation impact the performance of species distribution models: insights from a simulation study by Lambert, Charlotte, Virgili, Auriane

“…Species distribution models (SDM) are widely used to describe and explain how species relate to their environment and predict their spatial distributions. As such, they are the cornerstone of most of spatial planning efforts worldwide. …”
Get full text

Impact of stock market indices and raw material prices on the yield movements of Caterpillar company securities by Petrović Nevena, Novićević-Čečević Bojana, Krstajić Goran

“…In this study, we use multiple linear regression to predict the returns of CAT shares. The model results can be analyzed to identify patterns, trends, and insights that may be useful for forecasting. …”
Get full text

Forecasting mental states in schizophrenia using digital phenotyping data. by Thierry Jean, Rose Guay Hottin, Pierre Orban

“…Previous research focused on binary classification and continuous regression, disregarding the often ordinal nature of prediction targets derived from clinical rating scales. …”
Get full text

Astrology as Sacred Ecological Knowledge in the Tibetan Buddhist Tradition by Yulia Yu. Erendzhenova

“…In the Tibetan Buddhist tradition, sacred astrological knowledge is widely popular both in cult practices and non-religious activities. Astrologers draw prediction and natal charts, calculate favorable periods for rituals, healing practices, harvesting, weddings, funerals, etc. …”
Get full text

How NaCl addition destabilizes ionic liquid micellar suspension until phase separation by Dufrêche, Jean-François, Plazanet, Marie, Meyer, Gautier, Billard, Isabelle

“…Considering the effective charge of the micelles with respect to the ionic strength of the solution, it moreover provides a key element in the prediction of phase separation.…”
Get full text

The gastric microbiome altered by A4GNT deficiency in mice by Dawei Gong, Dawei Gong, Yuqiang Gao, Rui Shi, Xiaona Xu, Mengchao Yu, Shumin Zhang, Lili Wang, Quanjiang Dong

“…The co-occurrence network appeared to be much more complex. Functional prediction demonstrated considerable decreases in the relative frequencies of functions associated with polysaccharide metabolism and transportation.ConclusionThe distinct profile in A4gnt−/− mice demonstrated a vital role of A4GNT in the establishment of the gastric microbiome. …”
Get full text

The Relationship Between First-Trimester Aneuploidy Markers and Birth Weight by Cenk Soysal, Hatice Sari, Ozlem Erten, Ismail Biyik, Onur Ince, Yasemin Tasci, Nadi Keskin

“… OBJECTIVE: We aimed to determine the relationship between the first-trimester aneuploidy screeningma and the predicted weight at birth: Small for gestational age and large for gestational age. …”
Get full text

A review of characteristic lengths in the coupled criterion framework and advanced fracture models by Molnár, Gergely, Doitrand, Aurélien, Estevez, Rafael,  Gravouil, Anthony

“…This integrative strategy would allow for more accurate predictions and a deeper insight into the mechanics of fracture.…”
Get full text

Forecasting PM2.5 in Malaysia Using a Hybrid Model by Ezahtulsyahreen Ab. Rahman, Firdaus Mohamad Hamzah, Mohd Talib Latif, Azman Azid

“…Abstract Predicting future PM2.5 concentrations based on knowledge obtained from past observational data is very useful for predicting air pollution. …”
Get full text

Development and accelerated shelf-life assessment of coconut squash: A comprehensive evaluation of physicochemical, antioxidant, and sensory attributes by Sara Shahbaz, Iahtisham-Ul-Haq, Nirmeen Nadeem, Mahnoor Siddiqui, Robert Mugabi, Aanchal Sharma, Tawfiq Alsulami, Gulzar Ahmad Nayik

“…Sensory evaluation identified T5 as the optimal formulation due to its superior quality attributes and a predicted shelf life of 121 days. These findings highlight T5's potential for commercial applications as a high-quality, functional beverage.…”
Get full text

GC–MS analysis and in silico approaches to Stichopus hermanii as anti-inflammatory through PKC-β inhibition by Kurnia Fatwati, Asmawati Amin, Lenni Indriani, Rusdina Bte Ladju, Fuad Husain Akbar, Nurlindah Hamrun

“…The pharmacokinetic properties were predicted via pkCSM (http://biosig.unimelb.edu.au/pkcsm/). …”
Get full text