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

Immunoinformatics Approach to Design a Chimeric CD70-Peptide Vaccine against Renal Cell Carcinoma by Haideh Namdari, Farhad Rezaei, Fatemeh Heidarnejad, Mohammad Yaghoubzad-Maleki, Maryam Karamigolbaghi

“…Molecular docking and dynamics analyses predicted stable interactions between CD70-CPP-TNF and the TNF receptor, indicating potential efficacy. …”
Get full text

rule4ml: an open-source tool for resource utilization and latency estimation for ML models on FPGA by Mohammad Mehdi Rahimifar, Hamza Ezzaoui Rahali, Audrey C Therrien

“…While HLS4ML requires full synthesis to obtain resource and latency insights, our method uses trained regression models for immediate pre-synthesis predictions. The prediction models estimate the usage of block RAM, digital signal processors, flip-flops, and look-Up tables, as well as the inference clock cycles. …”
Get full text

ICGenomics: A PROGRAM COMPLEX FOR ANALYSIS OF SYMBOL SEQUENCES IN GENOMICS by Y. L. Orlov, A. O. Bragin, I. V. Medvedeva, K. V. Gunbin, P. S. Demenkov, O. V. Vishnevsky, V. G. Levitsky, D. Y. Oshchepkov, N. L. Podkolodnyy, D. A. Afonnikov, I. Grosse, N. A. Kolchanov

“…Examples are: ChIP-seq analysis; functional annotation of gene regulatory regions in nucleotide and amino acid sequences; prediction of nucleosome positioning; and structural and functional annotation of proteins, including their allergenicity and evolution features. …”
Get full text

Rapid Emulation of Spatially Resolved Temperature Response to Effective Radiative Forcing by Christopher B. Womack, Paolo Giani, Sebastian D. Eastham, Noelle E. Selin

“…Abstract Effective assessment of potential climate impacts requires the ability to rapidly predict the time‐varying response of climate variables. …”
Get full text

Comprehensive Analysis of N6-Methyladenosine RNA Methylation Regulators in the Diagnosis and Subtype Classification of Acute Myocardial Infarction by Xianpei Wang, Ying Wu, Ruoyao Guo, Linwei Zhao, Juanjuan Yan, Chuanyu Gao

“…Sensitive markers are necessary for the prediction of the risk of AMI and would be beneficial for managing the incidence rate. …”
Get full text

HLA I immunopeptidome of synthetic long peptide pulsed human dendritic cells for therapeutic vaccine design by Amy L. Kessler, Roel F. A. Pieterman, Wouter A. S. Doff, Karel Bezstarosti, Rachid Bouzid, Kim Klarenaar, Diahann T. S. L. Jansen, Robbie J. Luijten, Jeroen A. A. Demmers, Sonja I. Buschow

“…Currently, the design of SLPs relies on in silico prediction and multifactorial T cells assays to determine which SLPs are best cross-presented on DC human leukocyte antigen class I (HLA-I). …”
Get full text

A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems by Mario Amrehn, Stefan Steidl, Reinier Kortekaas, Maddalena Strumia, Markus Weingarten, Markus Kowarschik, Andreas Maier

“…Furthermore, an approximation of the findings regarding usability aspects in those studies is introduced, conducted solely from the system-measurable user actions during their usage of interactive segmentation prototypes. The prediction of all questionnaire results has an average relative error of 8.9%, which is close to the expected precision of the questionnaire results themselves. …”
Get full text

Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete by Fahid Aslam, Furqan Farooq, Muhammad Nasir Amin, Kaffayatullah Khan, Abdul Waheed, Arslan Akbar, Muhammad Faisal Javed, Rayed Alyousef, Hisham Alabdulijabbar

“…The results reveal that machine learning proposed adamant accuracy and has elucidated performance in the prediction aspect.…”
Get full text

Machine Learning Model for Imbalanced Cholera Dataset in Tanzania by Judith Leo, Edith Luhanga, Kisangiri Michael

“…Over the past decades, there have been great achievements in developing epidemic models for the proper prediction of cholera. However, the integration of weather variables and use of machine learning techniques have not been explicitly deployed in modeling cholera epidemics in Tanzania due to the challenges that come with its datasets such as imbalanced data and missing information. …”
Get full text

Talent identification and development in judo: A systematic review by Aline Aparecida de Souza Ribeiro, Francisco Zacaron Werneck, João Guilherme Vieira, Leandro Sant’Ana, Kathryn Johnston, Joseph Baker, Jeferson Macedo Vianna

“…On closer examination, there was a high degree of variability in the indicators that were found to discriminate between skilled and less-skilled judo athletes, predict performance and/or predict career pathway. …”
Get full text

Estimation of Bearing Capacity of Strip Footing Rested on Bilayered Soil Profile Using FEM-AI-Coupled Techniques by Ahmed M. Ebid, Kennedy C. Onyelowe, M. Salah

“…In this research work, finite element method (FEM) and 2D Plaxis were employed to generate numerical values for bilayered soils bearing a strip footing of width B and depths, h and H, in order to predict the ultimate bearing capacity (UBC) of the strip footing underlain by layered soil profile. …”
Get full text

Coupled effects of chlorides and sulfates on steel reinforcement corrosion in concrete structures: A comprehensive review by Ye Tian, Yu Liu, Yu-Meng Xie, Guo-Yi Zhang, Hai-Long Ye, Dong-Ming Yan, Yun-Jian Li, Bei Li, Hong-Jing Xue, Qing Cai

“…Comprehensive consideration and accurate simulation of the factors influencing steel corrosion are crucial for advancing the prediction of the durability of reinforced concrete structures.…”
Get full text

Effects of Side Load Chains of a Combine Harvester on Unbalanced Dynamic Vibrations of Its Threshing Drum by Yu Zhiwu, Li Yaoming, Wang Xinzhong, Tang Zhong, Jiahui Lu

“…The unbalance of the threshing drum predicted by this method is smaller than the actual measured unbalance. …”
Get full text

Evaluating Long-Term Strength and Time to Failure of Sandstone with Different Initial Damage by Rongbin Hou, Yanke Shi, Leige Xu, Jinwei Fu, Kai Zhang

“…Finally, an evaluation method for predicting the creep failure time of rock under a single stress level was proposed. …”
Get full text

Comparison of simulating visibility using XGBoost and IMPROVE method: a case study in East China by Xin Zhang, Yue Wang, Zibo Zhuang, Yuxi Liu, Chengduo Yuan, Lei Su, Jingyuan Shao, Pak-Wai Chan

“…The prediction accuracy of atmospheric visibility significantly impacts daily life. …”
Get full text

Computer modeling of the peculiarities in the interaction of IL-1 with its receptors in schizophrenia by N. Yu. Chasovskikh, A. A. Bobrysheva, E. E. Chizhik

“…Notably, this study represents the first prediction of the interactions of IL-1α, IL-1β, and IL- 1RA proteins, taking into account the presence of single-nucleotide polymorphisms associated with schizophrenia in the sequence of the corresponding genes. …”
Get full text

Novel tetracycline hybrids: synthesis, characterization, docking studies and in-vitro evaluation of antibacterial activity by Mansi Shah, Bhanubhai Suhagia, Sunita Goswami, Sneha Sagar, Arpit Patwari

“…Molecular dynamic simulation studies and in silico pharmacokinetic and toxicity prediction studies were done to determine in silico pharmacokinetics and toxicity of compounds. …”
Get full text

Deep-Sea Ecosystems as an Unexpected Source of Antibiotic Resistance Genes by Wei Zhang, Yingdong Li, Yunmeng Chu, Hao Liu, Hongmei Jing, Qianfeng Xia

“…Our metagenomics study employed short-read-based (SRB) and assembled-contig-based (ACB) methods to identify ARGs in deep-sea waters and sediments and assess their potential pathogenicity. SRB prediction was found to be more effective for studying the abundance and diversity of these genes, while combining both methods better illustrated the relationship of ARGs with the hosts. …”
Get full text

Association between dietary inflammatory index and osteoporosis in the US population: evidence from NHANES 2003–2010 by Zhiwen Liu, Huanling Jian, Zijing Peng, Sicheng Xiong, Zhihai Zhang

“…These factors were integrated into a nomogram for risk prediction, with the model’s discriminative ability assessed via the receiver operating characteristic (ROC) curve.ResultsOsteoporosis patients had higher DII scores than those without the condition (1.61 vs. 1.18, p < 0.001). …”
Get full text