A Theoretical and Experimental Study on Esterification of Citric Acid with the Primary Alcohols and the Hydroxyl Groups of Cellulose Chain (n = 1-2) in Parched Condition by Dang T. Nguyen, Quan T. Pham

“…Geometry and energy of reactants, products, and transition state (TS) structures were optimized at B3LYP/6-311g (d, p) level and ONIOM (B3LYP/6-311g (d, p):PM3MM) level. The computational results show that the esterification occurs in the two main steps: the first step is the dehydration reaction of CA to form anhydrides of 5-membered ring and 6-membered ring and the second step is the ring opening reaction with the hydroxyl –OH groups to form the ester products. …”
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Are Women More Risk Averse? A Sequel by Christos I. Giannikos, Efstathia D. Korkou

“…The suggested refinements pertain first to an enhanced computation of wealth, which includes additional categories of assets such as 401(k)s or other thrift savings accounts, and second to the more subtle handling and consideration of specific demographic data of the SCF respondents. …”
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An Approach to Fall Detection Using Statistical Distributions of Thermal Signatures Obtained by a Stand-Alone Low-Resolution IR Array Sensor Device by Nishat Tasnim Newaz, Eisuke Hanada

“…The system was implemented using a Raspberry Pi-based stand-alone device that provides a cost-effective solution without the need for additional computational devices. This study demonstrates the effectiveness of using IR array sensors for non-invasive, real-time fall detection and activity recognition, which offer significant potential for improving healthcare monitoring and ensuring the safety of fall-prone individuals.…”
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Esterification of Oleic Acid for Biodiesel Production Using a Semibatch Atomization Apparatus by Marcell S. Deus, Katherine C. O. Deus, Daniel S. Lira, Jackson A. Oliveira, Carlos E. A. Padilha, Domingos F. S. Souza

“…The size of droplets was determined by computational image processing. A mathematical model was also developed to describe the conversion of oleic acid to ethyl ester as a function of molar concentration of components and operating conditions of the reactor. …”
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What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection by Lu Liang, Jacob Daniels

“…While confirming that the latest research tendency is deep learning, regression is still a viable option for studies with limited effort in parameter tuning and method selection, especially considering its computational efficiency and simplicity. The sample size effect is most evident when the sample size drops below 30%, which is equivalent to six weeks of continuously collected hourly data. …”
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Olfactory transport efficiency of the manganese oxide nanoparticles (II) after their single or multiple intranasal administrations by A. V. Romashchenko, M. B. Sharapova, D. V. Petrovskii, M. P. Moshkin

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EFFECT OF THE SCREENS RADIANT REFLECTANCE ON THERMAL TRANSPORT PROCESS IN THE CLADDING STRUCTURES by V. D. Sizov, L. V. Nesterov, V. M. Kopko

“…This allows reducing thickness of the heat-insulating layer (with regard of two screens) by 0.07 m. Computations illustrate the fact that account for the radiant reflectance of screening enables lowering the rated heat flux passing through the enclosure. …”
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Design and Aerodynamic Analysis of a Flapping Mechanism for Foldable Biomimetic Aircraft by Shuai Yan, Yongjun Zhou, Shuxia Jiang, Hao Xue, Pengcheng Guo

“…Through precise modeling, the motion trajectories of the inner and outer wing segments were derived, providing a robust mathematical foundation for motion control and optimization. Computational simulations based on trajectory equations successfully demonstrated the characteristic figure-eight wingtip motion. …”
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Machine Learning  Modelling of the Relationship between Weather and Paddy Yield in Sri Lanka by Piyal Ekanayake, Windhya Rankothge, Rukmal Weliwatta, Jeevani W. Jayasinghe

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Stochastic differential equations to model influenza transmission with continuous and discrete-time Markov chains by Kazi Mehedi Mohammad, Md. Kamrujjaman

“…In this study, a more realistic representation of infection dynamics, intervention effects, and transmission behaviors is offered by the convergence of deterministic, CTMC, DTMC, and SDE models. Computational methods are used to validate theoretical results, improving the trustworthiness of the model. …”
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Exclusive Breastfeeding Practice and Associated Factors among Mothers Attending Private Pediatric and Child Clinics, Addis Ababa, Ethiopia: A Cross-Sectional Study by Laykewold Elyas, Amha Mekasha, Amha Admasie, Etagegnehu Assefa

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Dynamic Response Analyses of Plastic Greenhouse Structure considering Fluctuating Wind Load by Yingchun Jiang, Yikui Bai, Cong Wang, Yonggang Wang, Xinfu Pang

“…Finally, the dynamic response of the steel skeletons of plastic greenhouses is analyzed under the effect of the simulation wind speed, and the spatial distribution of the maximum node displacement and the section maximum stress of the steel skeleton are obtained. Computational results show that the displacement peak is near the top of the plastic greenhouse. …”
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A Novel Multi-Fidelity Support Vector Classification Method for Boundary Prediction in Engineering Applications by Jinliang Luo, Lingzhi Liu, Youwei He, Kuan Tan

“…To validate our method, we applied it to three distinct engineering problems: predicting the failure boundary of a zero Poisson ratio structure, analyzing surge and choke boundaries in an axial flow compressor rotor, and tackling a 31-dimensional simulation failure boundary prediction problem within the computational fluid dynamics context of the same rotor. …”
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Wafer Defect Classification Algorithm With Label Embedding Using Contrastive Learning by Jeongjoon Hwang, Somi Ha, Dohyun Kim

“…Moreover, compared to previous methods, our approach demonstrates better classification performance and computational efficiency, even in situations with imbalanced labels. …”
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Anti-Impact Performance Enhancement of Two-Way Spanning Slab through the Implementation of Steel Trussed Bars by Rayeh Nasr Al-Dala’ien, S. M. Anas, Abdel-Fattah Jamal Kodrg

“…Consider the thorough investigation into the anti-impact characteristics of RC slabs, which has been rigorously pursued through both experimental and computational methodologies. A plethora of scholarly discourse on this topic is readily available, providing invaluable insights into the structural dynamics governing slabs subjected to low-velocity impacts. …”
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A New Video-Based Crash Detection Method: Balancing Speed and Accuracy Using a Feature Fusion Deep Learning Framework by Zhenbo Lu, Wei Zhou, Shixiang Zhang, Chen Wang

“…In this paper, a feature fusion-based deep learning framework was developed for video-based urban traffic crash detection task, aiming at achieving a balance between detection speed and accuracy with limited computing resource. In this framework, a residual neural network (ResNet) combined with attention modules was proposed to extract crash-related appearance features from urban traffic videos (i.e., a crash appearance feature extractor), which were further fed to a spatiotemporal feature fusion model, Conv-LSTM (Convolutional Long Short-Term Memory), to simultaneously capture appearance (static) and motion (dynamic) crash features. …”
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Virtual reality-assisted prediction of adult ADHD based on eye tracking, EEG, actigraphy and behavioral indices: a machine learning analysis of independent training and test sample... by Annika Wiebe, Benjamin Selaskowski, Martha Paskin, Laura Asché, Julian Pakos, Behrem Aslan, Silke Lux, Alexandra Philipsen, Niclas Braun

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Research on strong robustness watermarking algorithm based on dynamic difference expansion by Tianqi WANG, Yingzhou ZHANG, Yunlong DI, Dingwen LI, Linlin ZHU

“…A surge in the amount of information comes with the rapid development of the technology industry.Across all industries, there is a need to collect and utilize vast amounts of data.While this big data holds immense value, it also poses unprecedented challenges to the field of data security.As relational databases serve as a fundamental storage medium for data, they often contain large-scale data rich in content and privacy.In the event of a data leak, significant losses may occur, highlighting the pressing need to safeguard database ownership and verify data ownership.However, existing database watermarking technologies face an inherent tradeoff between improving watermark embedding capacity and reducing data distortion.To address this issue and enhance watermark robustness, a novel robust database watermarking algorithm based on dynamic difference expansion was introduced.The QR code was employed as the watermark, the SVD decomposition of the low frequency part of the image was utilized after Haar wavelet transform.By extracting specific feature values and using residual feature values as the watermark sequence, it was ensured that the same-length watermark sequence contains more information and the embedded watermark length can be reduced.Furthermore, by combining the adaptive differential evolution algorithm and the minimum difference algorithm, the optimal embedding attribute bits were selected to alleviate the problems of low computational efficiency, high data distortion and poor robustness of traditional difference expansion techniques in embedding watermarks, and to improve the embedding capacity of watermarks while reducing the distortion of data.Experimental results demonstrate that the proposed algorithm achieves a high watermark embedding rate with low data distortion.It is resilient against multiple attacks, exhibiting excellent robustness and strong traceability.Compared to existing algorithms, it offers distinct advantages and holds great potential for broad application in the field of data security.…”
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The adoption of telemedicine by healthcare practitioners in South Africa by Margaret Cullen, Andre Calitz, Sasha Boucher, Prashna Buddan

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Time series segmentation for recognition of epileptiform patterns recorded via microelectrode arrays in vitro. by Gabriel Galeote-Checa, Gabriella Panuccio, Angel Canal-Alonso, Bernabe Linares-Barranco, Teresa Serrano-Gotarredona

“…In this regard, the detection and classification of events from ongoing brain activity, while achieving low power consumption through computationally inexpensive implementations, represents a major challenge in the field. …”
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