Fully charmed tetraquark production at the LHC experiments by Ilia Belov, Alessandro Giachino, Elena Santopinto

“…The novelty in comparison with the recently published article [1] lies in the fact that we predict the absolute values as well as the dσ/dp T spectra in the kinematic ranges accessible at the ongoing LHC experiments. …”
Get full text

Research on Modeling and Suppression of the Tooth Profile Envelope Error of Non-circular Gear Hobbing by Han Jiang, Li Dazhu, Tian Xiaoqing, Xia Lian

“…This study provides theoretical support for the analysis of the tooth profile envelope error of the non-circular gear hobbing, which can predict the envelope error and guide the formulation of a reasonable machining plan.…”
Get full text

A hybrid Genetic Algorithm and Fuzzy Logic approach to ergonomic design of workstations in metal casting operations by Intan Berlianty, Irwan Soejanto, Indun Titisariwati, Favian Ersanta Andhika Putra, Wahyu Tri Utami, Mohamad Kamil Insani

“…Future research could further enhance the system by incorporating machine learning for improved predictive capabilities and expanded optimization of ergonomic parameters.…”
Get full text

Associations between physical activity and health-related fitness: Differences across childhood by Zeinab Khodaverdı, Jacqueline Goodway, David Stodden

“…After controlling for BMI and age, cardiorespiratory fitness accounted for 3% of variation in vigorous in PA in 4-11 year-old children and significantly predicted 23% of variance in vigorous PA in late childhood. …”
Get full text

An improved spatially downscaled solar-induced chlorophyll fluorescence dataset from the TROPOMI product by Siyuan Chen, Liangyun Liu, Lichun Sui, Xinjie Liu, Yan Ma

“…However, TroDSIF is dependent on the linear hypothesis between OSIF and the ML-predicted SIF used in the redistribution process. Nonetheless, we believe TroDSIF is anticipated to be beneficial to conducting global vegetation photosynthesis and climate change studies at precise scales.…”
Get full text

Particle Filtering for Obstacle Tracking in UAS Sense and Avoid Applications by Anna Elena Tirri, Giancarmine Fasano, Domenico Accardo, Antonio Moccia

“…The most important parameter for the assessment of a collision risk is the Distance at Closest Point of Approach, that is, the predicted minimum distance between own aircraft and intruder for assigned current position and speed. …”
Get full text

Therapeutic Potential of α-Synuclein Evolvability for Autosomal Recessive Parkinson’s Disease by Jianshe Wei, Gilbert Ho, Yoshiki Takamatsu, Eliezer Masliah, Makoto Hashimoto

“…Finally, it is intriguing to predict that increased αS evolvability through suppression of βS expression might protect against autosomal recessive PD. …”
Get full text

A Collection of Machine Learning Models for Improved Airport Operations Amidst Adverse Weather Conditions by Ramon Dalmau, Jonathan Attia

“…Moreover, the system includes a predictive model that assesses the likelihood of air traffic flow management regulations based on weather data and calendar information. …”
Get full text

Nonoperative treatment efficacy prognosis in acute small bowell obstruction by S. G. Shapovalyants, S. Ye. Larichev, Z. A. Zhemukhova, N. A. Soldatova, I. A. Smirnov

“…The designed prognostic scale allows to prove with high accuracy the choice of SBO treatment method and to predict treatment outcome at this disease with high performance.…”
Get full text

Determining the Grounds for Conducting Examination through the Prism of Investigative Practice by Ya. Yu. Koniushenko

“…However, their legislative specification is inexpedient, since it is impossible to predict all cases for this investigative (search) action in advance. …”
Get full text

Compassion and the perceived rarity of plants can increase plant appreciation by Pavol Prokop, Kristína Belzárová, Ivana Tomanová Čergeťová

“…The perceived rarity of plants, animals and minerals was positively correlated with the increase in WTP. As predicted, WTP positively correlated with conservation attitudes. …”
Get full text

Smart Shift Decision Method Based on Stacked Autoencoders by Zengcai Wang, Yazhou Qi, Guoxin Zhang, Lei Zhao

“…The stacked autoencoder (SAE) algorithm, a type of artificial neural network, is used in this study to predict shifting gear timing on the basis of throttle percentage, vehicle velocity, and acceleration. …”
Get full text

Modeling and Simulation of Turbulent Flows through a Solar Air Heater Having Square-Sectioned Transverse Rib Roughness on the Absorber Plate by Anil Singh Yadav, J. L. Bhagoria

“…The relative roughness height, e/D, varies from 0.021 to 0.06, and the Reynolds number, Re, varies from 3800 to 18,000. The results predicted by CFD show that the average heat transfer, average flow friction, and thermohydraulic performance parameter are strongly dependent on the relative roughness height. …”
Get full text

Prevalence of 10-Year Risk of Cardiovascular Diseases and Associated Risks in Canadian Adults: The Contribution of Cardiometabolic Risk Assessment Introduction by Solmaz Setayeshgar, Susan J. Whiting, Hassanali Vatanparast

“…Framingham Risk Score (FRS) was implemented to predict 10-year risk of CVD, and metabolic syndrome was identified using the most recent criteria. …”
Get full text

Supercritical Fluid Geochemistry in Geothermal Systems by Matylda Heřmanská, Barbara I. Kleine, Andri Stefánsson

“…Similar concentration patterns have been predicted from geochemical modeling and were observed at Krafla, Iceland, for the IDDP-1 supercritical fluid discharge. …”
Get full text

Comprehensive Analysis of Milling Performance and Multi-Objective Parameter Optimization for YG6C Milling Tool by Fada Cai, Rongfei Xia

“…A model for tool wear and a multi-quadratic regression model for milling forces were developed to accurately predict the trends of wear on the rake face of the milling tool and the variations in milling forces. …”
Get full text

Providing incentives for the microelectronics industry as a part of achieving technological sovereignty by V. V. Degtyareva

“…The purpose of the study is to identify trends in global economy, analyze and predict actions of major players, analyze the Russian microelectronics industry, and rationalize suggestions based on the data collected. …”
Get full text

Liberating the open and distance learning model from the chains of oppressive education theories by Mackenzie Ishmael Chibambo, Joseph Jinja Divala, Aggripa Chingombe

“…While the findings of this study are applicable across various higher education contexts, ODL has significantly demonstrated a strong alignment with the predictions of the correspondence theory, FEM and ITEM, probably due to its mode of delivery and historical foundations. …”
Get full text

Internal validation parameters of linear regression equations in QSAR problem by Inna Khristenko, Volodymyr Ivanov

“…It is shown that a wide set of test parameters is not only an additional yet alternative description of regression models, but also provides the most complete description of the predictive characteristics and quality of the obtained regression model.…”
Get full text

Incidence of Typhoid Fever in Nineveh Province from 2018-2022 by Ali Adel Dawood

“…Objective: Typhoid fever is a grave and highly contagious illness caused by Salmonella typhi that is primarily spread through mucosal exposure to bacteria typically found in the gastrointestinal tract. his study focused on identifying the causes of the epidemic, predicting which populations are more susceptible to the disease, and evaluating the effectiveness of health measures set in place to prevent its spread in the Nineveh province. …”
Get full text