How many dollars are in the sea? Estimating sand dollar (Echinarachnius parma) abundance using an iteratively trained convolutional neural network and generalized additive models by Sara Vanaki, Deborah R. Hart, Jui-Han Chang

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Tidal Spin-up of Black Hole Progenitor Stars by Linhao Ma, Jim Fuller

“…In this work, we investigate this scenario by directly calculating the tidal excitation of oscillation modes in WR star models, determining the tidal spin-up rate, and integrating the coupled spin–orbit evolution for WR–BH binaries. We find that, for short-period orbits and massive WR stars, the tidal interaction is mostly contributed by standing gravity modes, in contrast to Zahn’s model of traveling waves, which is frequently assumed in the literature. …”
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Design of public space guide system based on augmented reality technology by Pu Jiao, Limin Ran

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Adaptive multimodal transformer based on exchanging for multimodal sentiment analysis by Gulanbaier Tuerhong, Feifan Fu, Mairidan Wushouer

“…However, existing methods still face challenges in key issues such as modal distribution differences, cross-modal interaction efficiency, and contextual correlation modeling. …”
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A novel feature extractor based on constrained cross network for detecting sleep state by Chenlei Tian, Fei Song

“…Most existing methods that utilize wrist-worn devices data for detection rely on heuristic algorithms or traditional machine learning, which suffer from low classification efficiency and insufficient accuracy. This study explores an improved feature extractor based on the Constrained Cross Network to enhance the accuracy of the sleep-wake binary classification problem. …”
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PEDOT:PSS polymer functionalized carbon nanotubes integrated with graphene oxide and titanium dioxide counter electrode for dye-sensitized solar cells by A M Mahmudul Hasan, Md. Abu Bin Hasan Susan

“…A small (25 wt%) incorporation of conductive polymer reduce agglomeration and increase the solution dispersity of MWCNTs that hinders due to the van der Waals and π-π stacking interaction of the individual tube. The reduced agglomeration facilitates efficient electron transport pathways as characterized by the electrochemical impedance spectroscopy (EIS) and electron imaging techniques. …”
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Innovative vacuum distillation technology for preparing refined Al from Al–Mg alloy by Jiafei Yi, Bing He, Jinghui Sun, Peilin Qing, Alin Cao, Xuming Zhang, Lin Chen, Jingyao Xu

“…The activity coefficients of Al-Mg binary alloy components were meticulously determined by applying the molecular interaction volume model (MIVM), non-random two-liquid (NRTL) model, and Wilson equation. …”
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Emerging strategies in the sustainable removal of antibiotics using semiconductor-based photocatalysts by Yunus Ahmed, Keya Rani Dutta, Parul Akhtar, Md. Arif Hossen, Md. Jahangir Alam, Obaid A. Alharbi, Hamad AlMohamadi, Abdul Wahab Mohammad

“…Nanomaterials can effectively and precisely break down and neutralize antibiotic compounds with high efficiency and selectivity by utilizing a complex interaction between radical reactive oxygen species and non-radical equivalents under light irradiation. …”
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Cloud edge end network resource allocation for thermostatically controlled load aggregation regulation by Yi LIU, Xin WU

“…Thermostatically controlled load is a flexible load that controls temperature regulation, such as air conditioning and electric water heaters.As a crucial demand side resource, flexible aggregation and regulation of load clusters can fully mobilize clean energy consumption capacity and ensure the balance between supply and demand of the power grid.Due to the common occurrence of thermostatically controlled loads in commercial office buildings and residential areas, a relatively stable control and transmission method can be adopted.Therefore, an efficient hierarchical transmission network is introduced to achieve data transmission and information interaction between loads and the power grid, and to flexibly, real-time, and accurately utilize the adjustable potential of load clusters.Firstly, an information interaction architecture of load IoT which structured “central cloud-edge cloud-regional load controller-thermostatically controlled load”was proposed.Then, for the “end edge”part, considering the requirements of different aggregation control tasks, an improved clustering algorithm was used to classify the tasks and reduce transmission overhead.For the “end-side” part, an improved clustering algorithm was used to optimize the transmission distance.For the edge-cloud collaboration part, a subchannel resource allocation algorithm was designed based on stable matching and water injection algorithms.The binary particle swarm optimization algorithm was used to solve the task upload decision problem.Finally, the effectiveness of the proposed model and algorithm is verified through simulation, and comparative experiments are also conducted.…”
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Liquid Phase CO2 Hydrogenation to Synthesize Methanol: Solvent Screening, Process Design and Techno-Economic Evaluation by Dongliang Wang, Yun Du

“…Based on Aspen Plus software, the binary interaction parameters were regressed using gas liquid equilibrium data, and the solvent's capacity to enhance the reaction system was assessed. …”
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Research on multi-user identity recognition based on Wi-Fi sensing by Zhongcheng WEI, Wei CHEN, Yanhu DONG, Bin LIAN, Wei WANG, Jijun ZHAO

“…With the advancement of wireless sensing technology, research on Wi-Fi-based identity recognition has garnered significant attention in fields such as human-computer interaction and home security.While identity recognition based on Wi-Fi signals has achieved initial success, it is currently primarily suitable for scenarios involving individual user behavior.Identity recognition for multiple users in concurrent behavior scenarios still faces a series of challenges, including issues related to mutual interference between users and poor model robustness.Therefore, a Wiblack system for recognizing multiple user identities in a concurrent distribution behavior scenario was proposed.The core idea was to train a multi-branch deep neural network (Wiblack-Net) to extract unique features for each individual user.Firstly, the common features among multiple users were extracted using the backbone network.Then, a binary classifier was assigned to each user to determine the presence of the target user within a given group, thereby achieving identity recognition for multiple users based on concurrent behavior.In addition, experiments comparing Wiblack with several independent binary classification models and a single multiclassification model were conducted to analyze operational efficiency.System performance experimental results demonstrate that when simultaneously identifying the identities of three users, Wibalck achieves an average accuracy of 92.97%, an average precision of 93.71%, an average recall of 93.24%, and an average F1 score of 92.43%.…”
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Extracting Optimal Number of Features for Machine Learning Models in Multilayer IoT Attacks by Badeea Al Sukhni, Soumya K. Manna, Jugal M. Dave, Leishi Zhang

“…Therefore, this research aims to develop a Semi-Automated Intrusion Detection System (SAIDS) that integrates efficient feature selection, feature weighting, normalisation, visualisation, and human–machine interaction to detect and identify multilayer attacks, enhancing mitigation strategies. …”
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Optimizing saffron bioactive extraction with deep eutectic solvents by Atefeh Saberi, Heidar Raissi, Ameneh Zaboli, Hassan Hashemzadeh

“…Efficacious extraction of bioactive components must meet the green chemistry requirements for environment-friendly, safety, little impurities, economic, and efficiency. Experimental studies have demonstrated that deep eutectic solvents exhibit high efficiency in extracting phenolic compounds from saffron. …”
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Unsupervised Contrastive Graph Kolmogorov–Arnold Networks Enhanced Cross-Modal Retrieval Hashing by Hongyu Lin, Shaofeng Shen, Yuchen Zhang, Renwei Xia

“…To address modality heterogeneity and accelerate large-scale retrieval, cross-modal hashing strategies generate compact binary codes that enhance computational efficiency. …”
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Biosorption Behavior of Basic Red 46 and Violet 3 by Dead Pleurotus mutilus from Single- and Multicomponent Systems by N. Yeddou Mezenner, A. Hamadi, S. Kaddour, Z. Bensaadi, A. Bensmaili

“…The performance of nonviable P. mutilus for removal of Crystal Violet (CV) and Basic Red 46 (BR46) was investigated in single and binary systems. Batch kinetic studies were carried out as a function of pH, temperature, biomass amount, and dye concentration to determine the decolorization efficiency of biosorbent. …”
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Thermodynamic and Structural Characterization of a Mechanochemically Synthesized Pyrazinamide–Acetylsalicylic–Acid Eutectic Mixture by Luís H. S. Queiroz, Mateus R. Lage, Clenilton C. dos Santos, Mafalda C. Sarraguça, Paulo R. S. Ribeiro

“…Binary phase diagrams and Tammann’s triangle analysis determined the eutectic point. …”
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On the Spatiality of Segregation and the Governance of Change by Nancy Ettlinger

“…Efficiency becomes a means to social as well as economic ends, as respect and trust via collaborative experience (among people who might otherwise not interact) generate new social understandings. …”
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Diagnostic efficacy of data mining method based on multimodal ultrasound for papillary thyroid carcinoma by Changyu Xu, Liwei Zhang, Qiming Zhang, Tianqi Wang, Yuqing Wu, Jinlai Yao, Xiaoqiu Dong

“…Logistic regression model and Chi-squared automatic interaction (CHAID) decision tree based on multimodal ultrasound were established, and the diagnostic efficiency of the two models in PTC was compared.MethodsThe findings, features and data of routine ultrasound, shear wave elastography (SWE) and contrast-enhanced ultrasonography (CEUS) were prospectively collected in 203 patients. …”
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Separation of benzene from cyclohexane by liquid-liquid extraction for a pseudo-ternary system with (sulfolane + 2-propanol) solvent: An experimental and modeling study by Seyed Mohammad Reza Seyedein Ghannad, Mohammad Reza Gharib, Ali Heydari

“…The LLE data of the studied system are used to achieve binary interaction parameters in universal quasichemical)UNIQUAC(and non-random two-liquid)NRTL(thermodynamic models. …”
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MIXTURES OF NON-IONIC SURFACTANTS FOR CLEANING COMPOSITIONS by E. F. Bukanova, V. M. Filippenkov, Y. Revina

“…The surface behavior and micelle formation of binary and ternary compositions of nonionic surfactants are studied in relation to their cleaning ability with respect to cotton fabric. …”
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