Quantum state engineering and photon statistics at electromagnetic time interfaces by M. S. Mirmoosa, T. Setälä, A. Norrman

“…To bridge theory and experiment, we propose a possible circuit quantum electrodynamics approach for validating our theoretical predictions. We hope that our work inspires experimental investigations of such quantum state engineering and photon statistics phenomena, as well as further quantum optical explorations of electromagnetic field interaction with photonic time crystals or with dispersive time-varying materials.…”
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Cortical Visual Performance Test Setup for Parkinson’s Disease Based on Motion Blur Orientation by M. Erdem Isenkul

“…The development of predictable telemonitored early detection models has become closely related to many different research areas. …”
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Simulation and Optimization of Bus Interior Noise Based on Hybrid Method for Engine Vibration Load Identification by Xintao Cui, Naibin Zhai, Yufan Cao

“…Structure–acoustic coupled simulations were conducted to predict bus interior noise based on a detailed finite element model of the full bus. …”
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A CACTA-like transposon in the Anthocyanidin synthase 1 (Ans-1) gene is responsible for apricot fruit colour in the raspberry (Rubus idaeus) cultivar 'Varnes'. by Daniel James Sargent, Matteo Buti, Stefan Martens, Claudio Pugliesi, Kjersti Aaby, Dag Røen, Chandra Bhan Yadav, Felicidad Fernández Fernández, Muath Alsheikh, Jahn Davik, R Jordan Price

“…By performing RNASeq, we revealed differential expression patterns in the apricot-fruited 'Varnes' for genes in the anthocyanin biosynthesis pathway and following whole genome sequencing using long-read Oxford Nanopore Technologies sequencing, we identified a CACTA-like transposable element (TE) in the second exon of the Anthocyanidin synthase (Ans) gene that caused a truncated predicted ANS protein. PCR confirmed the presence in heterozygous form of the transposon in an unrelated, red-fruited cultivar 'Veten', indicating apricot fruit colour is recessive to red and that it may be widespread in raspberry germplasm, potentially explaining why apricot forms appear at regular intervals in modern raspberry breeding populations.…”
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Transient Peripapillary Retinoschisis in Glaucomatous Eyes by Josine van der Schoot, Koenraad A. Vermeer, Hans G. Lemij

“…We found no evidence that the retinoschisis predicted glaucomatous progression.…”
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ELECTORAL VIOLENCE IN KADUNA STATE: THE IMPLICATION FOR PEACE AND DEVELOPMENT by Abdullahi Umar, Abubakar Abdullahi Muhammad, Awwal Muhammad Shafiu, Abdulrahim Mahmud Dogara, Amina Lawal

“…The study found that electoral violence has turned into a predictable occurrence in Nigeria's political system and should therefore not be escalated to destructive levels against people's lives and property, regardless of their ethnic or religious differences.The paper also found that there are a number of variables, such as poverty, unemployment, and inadequate voter education that contribute to election violence in Kaduna State. …”
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Combination Hand-Crafted Features and Semi-Supervised Features Selection From Deep Features for Atrial Fibrillation Detection by Sara Mihandoost

“…This study proposed a novel feature set that combines deep features extracted from cyclic correlation of ECG signals with manually designed features for predicting ECG rhythms. The effectiveness of this method was evaluated using the PhysioNet Challenge 2017 dataset, which consists of numerous ECG recordings. …”
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Discovering causal models for structural, construction and defense-related engineering phenomena by M.Z. Naser

“…To this end, this paper starts with a brief review of the principles of causality and then adopts four causal discovery algorithms, namely, PC (Peter-Clark), FCI (fast causal inference), GES (greedy equivalence search), and GRaSP (greedy relaxation of the sparsest permutation), have been used to examine four phenomena, including predicting the load-bearing capacity of axially loaded members, fire resistance of structural members, shear strength of beams, and resistance of walls against impulsive (blast) loading. …”
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Modelling Soil Water Retention for Weed Seed Germination Sensitivity to Water Potential by W. John Bullied, Paul R. Bullock, Rene C. Van Acker

“…Weed seed germination models driven by the hydrothermal soil environment rely on the best-fitting soil water retention model to produce dynamic predictions of seed germination.…”
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Digital twins in the building sector: Implementation and key features by Lemian Diana, Bode Florin

“…By integrating sensor data and Building Information Models (BIM), DTs provide comprehensive insights into energy usage, fault detection, predictive maintenance, and operational efficiency. …”
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Machine Learning Methods for Forecasting Intermittent Tin Ore Production by Nabila Dhia Alifa Rahmah, Budhi Handoko, Anindya Apriliyanti Pravitasari

“…This study compares various combinations of machine learning-based classification and forecasting to predict future tin ore production values, which have not been found in previous studies. …”
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Algorithmic Generation of Parameterized Geometric Models of the Aortic Valve and Left Ventricle by Nikita Pil, Alex G. Kuchumov

“…The proposed synthetic database aims to increase the predictive power of machine-learning models in cardiovascular research and, eventually, improve patient outcomes after aortic valve surgery.…”
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Probability-Based Sensitivity of Service Life of Chloride-Attacked Concrete Structures with Multiple Cover Concrete Repairs by Aruz Petcherdchoo

“…The proposed approach, which combined the Latin Hypercube technique with the Crank–Nicolson-based finite difference approach, is developed for predicting probabilistic chloride diffusion in concrete with repairs by cover concrete replacement. …”
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Richards equation for the assessment of landslide hazards by Ramesh Chandra Timsina

“…Furthermore, our model provides a framework for predicting landslides by considering the interplay between water flow and the physical, geological, and topographical characteristics of a landscape. …”
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Regional Aggressive Root Resorption Caused by Neuronal Virus Infection by Inger Kjær, Carsten Strøm, Nils Worsaae

“…Therefore, the normal nerve pattern is important for diagnostics and for predicting the course of severe unexpected root resorption.…”
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Evidence-Based Practice in Education: Tools for Assessing Learning in the Context of Innovation by N. A. Lyz’, O. N. Istratova, E. V. Golubeva

“…The described questionnaires can be used to analyze the learning attainment and build evidence-based practices in higher education, as well as a source of data for predicting the learning outcomes.…”
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Mast Cell Activation Syndrome in COVID-19 and Female Reproductive Function: Theoretical Background vs. Accumulating Clinical Evidence by Dariusz Szukiewicz, Piotr Wojdasiewicz, Mateusz Watroba, Grzegorz Szewczyk

“…Then, the available data on COVID-19 in the context of hormonal disorders, the course of endometriosis, female fertility, and the course of pregnancy were compiled to verify intuitively predicted threats. Surprisingly, although COVID-19 hyperinflammation and post-COVID-19 illness may be rooted in MCAS, the available clinical data do not provide grounds for treating this mechanism as significantly increasing the risk of abnormal female reproductive function, including pregnancy. …”
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Model Reduction of the Flexible Rotating Crankshaft of a Motorcycle Engine Cranktrain by Stefano Ricci, Marco Troncossi, Alessandro Rivola

“…Such a modelling approach prevents the loads at certain interface locations to be evaluated; furthermore, high-frequency dynamic effects cannot be predicted. These drawbacks can be removed by introducing bushing-like elements and/or modelling component flexibility. …”
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Bile Duct Strictures Caused by Solid Masses: MR in Differential Diagnosis and as a Prognostic Tool to Plan the Endoscopic Treatment by Tomasz Gorycki, Michał Studniarek

“…High significance for predicting ERCP conditions was found with mean SIR in STIR T2W images and stricture length. …”
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Improvement of Duncan-Chang Constitutive Model of Argillaceous Siltstone Soil-Rock Mixture by ZHANG Han, YI Chenglong, LIU Zhongfan, CHEN Kangpei, CHEN Yanjiang

“…In order to accurately predict the deformation of soft S-RM slope and evaluate the engineering stability, it is urgent to study the shear mechanical properties and constitutive models of S-RM. …”
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