Stock Price Change Rate Prediction by Utilizing Social Network Activities by Shangkun Deng, Takashi Mitsubuchi, Akito Sakurai

“…In this paper, we propose a hybrid model that combines multiple kernel learning (MKL) and genetic algorithm (GA). …”
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Design, Development and Control of a Hopping Machine – an Exercise in Biomechatronics by Kuldip Naik, Mehran Mehrandezh, John Barden

“…This system can be used as an educational tool for teaching real-time control of hybrid and non-linear systems. It can be also used as a biomechatronics test bed to simulate the effect of different timings in firing action potentials in jump-causing leg muscles on achieving a desired jumping height in the animal kingdom.…”
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Emerging Technologies Driving Zero Trust Maturity Across Industries by Hrishikesh Joshi

“…The rapid pace of innovation introduces complexities in maintaining continuous verification and least-privilege access across hybrid and multi-cloud environments. Furthermore, the integration of AI and machine learning in Zero Trust frameworks raises questions about data privacy, algorithmic bias, and the need for explainable security decisions. …”
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La interpretación platónica del desafío inmoralista by Javier Echeñique Sosa

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Pricing Strategies in Dual-Channel Supply Chain with a Fair Caring Retailer by Lufeng Dai, Xifu Wang, Xiaoguang Liu, Lai Wei

“…In contrast to previous research on pricing strategies based on the full rationality of members, we focus on the impact of retailers' fairness concerns on pricing strategies. In this study, the hybrid dual-channel supply chain consists of one manufacturer with a direct channel who acts as the leader and a retailer who acts as the follower. …”
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POI Data Fusion Method Based on Multi-Feature Matching and Optimization by Yue Wang, Cailin Li, Hongjun Zhang, Baoyun Guo, Xianlong Wei, Zhao Hai

“…Firstly, when dealing with POI (point of interest) data, the similarity of POI data in terms of name, address, and distance is calculated by combining the improved hybrid similarity method, the Jaccard method, and the Euclidean metric method. …”
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Novel direct sequence spread spectrum communication method by Fanglin GU, Jinlin PENG, Yuzhen HUANG, Shengqun CAO, Haitao ZHAO, Jibo WEI

“…In response to the problem of limited performance and low spectral efficiency in complex multipath environments of traditional direct sequence spread spectrum communication, a cyclic prefix (CP) block transmission structure spread spectrum system with a time-frequency hybrid direct sequence spread spectrum receiver structure was proposed.The system adopted maximum ratio combination (MRC) in the frequency domain to achieve equalization and de-spreading processes simultaneously, while achieving optimal reception performance and omitting the IFFT process to reduce computational complexity significantly.On this basis, it was proposed to replace the m-sequence with the constant amplitude zero auto correlation (CAZAC) sequence as the spread spectrum sequence, which significantly improved the system performance without increasing computational complexity.Finally, a high-speed spread spectrum communication method based on cyclic code shift keying (CCSK) was proposed to solve the problems of low spectrum utilization efficiency and limited transmission rate in traditional direct sequence spread spectrum.By utilizing the property of Fourier transform time-domain cyclic shift, a low implementation complexity CCSK decoding method was designed, which reduced the multiplication number required for CCSK de-spreading by O(N²) reduced to O (Nlog N), greatly reducing resource consume.The simulation results show that compared to existing direct sequence spread spectrum methods, the proposed method achieves approximately 3 dB gain in both Gaussian and complex multipath channel environments.…”
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Cognitive Assessment of Very Preterm School-age Children by Chronological vs. Corrected Age by Yolanda Sánchez-Sandoval, Agustina Lambrisca, Isabel Benavente-Fernández, Laura Lacalle, Melissa L. Martínez-Shaw

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Structural Changes in Polyethylene Terephthalate (PET) Waste Materials Caused by Pyrolysis and CO Activation by José B. Parra, Conchi O. Ania, Ana Arenillas, Fernando Rubiera, José J. Pis, José M. Palacios

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Genetic diversity of Tulipa suaveolens Roth populations in Volgograd Province by T. A. Kritskaya, A. S. Kashin

“…According to Bayesian analysis and clustering with both UPGMA and Neighbor Joining methods, all the studied T. suaveolens samples from Volgograd Province make up a large genetic group: within that group none of the potential subgroups may be associated with a particular place of collecting. The NewHybrids software was applied, and the results pointed to the hybrid nature of most samples. …”
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A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction by Jini Mol G., Ajith Bosco Raj T.

“…The data processed were finally used by the hybrid 1D-CNN-Optimized GRU network to predict cardiovascular illness. …”
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A systematic review of proaporphine alkaloids and a pharmacological update by Christian Bailly

“…Purpose: The present review provides a survey of a hundred of proaporphine alkaloids isolated from plants, divided into three groups: conventional proaporphines (including mecambrine, roemeronine and orientalinone among others), homoproaporphines with a tetracyclic or pentacyclic core (such as kreysiginone and robustamine), and various proaporphine hybrid molecules (roemeridine, magnostepharine and diverse analogues). …”
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Optimization and Experimental Testing of the Drag Torque Model Based on the Cavitation Effect by Li Jie, Lian Hailong, Lan Hai, Wang Zhiyong

“…In the non-braking operation of the wet brake in a heavy vehicle's hybrid power transmission system, the friction pair produces a drag torque due to the power loss caused by the viscous action of the oil. …”
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Fault Diagnosis Approach for Rotating Machinery Based on Feature Importance Ranking and Selection by Zong Yuan, Taotao Zhou, Jie Liu, Changhe Zhang, Yong Liu

“…Thirdly, the categorical boosting (CatBoost) algorithm is introduced to rank the fault features by a certain strategy, and the optimal feature set is further utilized to identify and diagnose the fault types. A hybrid dataset of bearing and rotor faults and an actual dataset of the one-stage reduction gearbox are utilized for experimental verification. …”
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Structural Predictive Model of Presenilin-2 Protein and Analysis of Structural Effects of Familial Alzheimer’s Disease Mutations by Alejandro Soto-Ospina, Pedronel Araque Marín, Gabriel de Jesús Bedoya, Andrés Villegas Lanau

“…Molecular visualization was carried out with the Chimera 1.14 software, and the theoretical calculation with the hybrid quantum mechanics/molecular mechanics system from the semi-empirical method, with Spartan18 software and an AustinModel1 basis. …”
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Pipelined Training with Stale Weights in Deep Convolutional Neural Networks by Lifu Zhang, Tarek S. Abdelrahman

“…The paper also contributes a hybrid training scheme that combines pipelined with nonpipelined training to address this drop. …”
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A data Mining Approach using CNN and LSTM to Predict Divorce before Marriage by Touba Torabipour, Safieh Siadat, Hosein Taghavi

“…In the current work, we proposed a method to predict divorce by combining a convolutional neural network (CNN) and long short-term memory (LSTM). In this hybrid method, key features in a dataset are selected using CNN layers, and then predicted using LSTM layers with an accuracy of 99.67 percent. …”
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A Fortnite and odd days: the console wars by Alba Ribera Martínez

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New operations on cubic intuitionistic fuzzy sets under P–order by Priyadharshini Manoharan, Jayanthi Duraisamy, Saranya Manoharan

“…Cubic intuitionistic fuzzy sets have the efficiency to handle hybrid information, which combines interval-valued intuitionistic fuzzy sets and intuitionistic fuzzy sets. …”
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Is there a post-COVID urban model? The pandemic as a catalyst of urban transformations in Buenos Aires by Diego Ezequiel Vázquez, Martina Daniela Berardo

“…The objective is to trace continuities and ruptures among the programs implemented, in relation to the rhetoric regarding public space, and in the urban planning used to design and justify urban policies. For this, a hybrid methodological design was developed that combines document, spatial, and cultural analysis. …”
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