An Approach to Processing More Bioavailable Chickpea Milk by Combining Enzymolysis and Probiotics Fermentation by Xue Zhang, Shuangbo Liu, Bijun Xie, Zhida Sun

“…This research aimed to investigate an approach to processing more bioavailable chickpea milk by combining enzymolysis and probiotic bacterial fermentation. …”
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A Simulation Accelerating Method Based on CUDA with Kepler GPU by Bingjun Han, Shiming Huang, Ying Du

“…An accelerating method based on CUDA（compute unified device architecture）with Kepler GPU（graphics processing unit）was proposed to speed up the DFT（discrete Fourier transform）processing in the communication simulation platform.Based on this method，the whole DFT processing was split into subtasks named molecular-subtasks corresponding to communication links and a molecular-subtask was further split into smaller parallel subtasks named atomic-subtasks which correspond to the DFT processing in a link.Then，the atomic-subtasks were processed in parallel by the threads in a GPU kernel function，as well as the molecular-subtasks were processed in parallel via several GPU kernel functions to shorter the simulation time.Simulation results show this method can speed up the DFT processing more than 300 times compared with single thread CPU program and 3 times compared with traditional GPU program.…”
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A Simulation Accelerating Method Based on CUDA with Kepler GPU by Bingjun Han, Shiming Huang, Ying Du

“…An accelerating method based on CUDA（compute unified device architecture）with Kepler GPU（graphics processing unit）was proposed to speed up the DFT（discrete Fourier transform）processing in the communication simulation platform.Based on this method，the whole DFT processing was split into subtasks named molecular-subtasks corresponding to communication links and a molecular-subtask was further split into smaller parallel subtasks named atomic-subtasks which correspond to the DFT processing in a link.Then，the atomic-subtasks were processed in parallel by the threads in a GPU kernel function，as well as the molecular-subtasks were processed in parallel via several GPU kernel functions to shorter the simulation time.Simulation results show this method can speed up the DFT processing more than 300 times compared with single thread CPU program and 3 times compared with traditional GPU program.…”
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Query scheduling based on cloud-edge multi-data warehouse architecture and cost prediction model by GAO Xuning, YANG Song, LI Mingzhe, ZHANG Yanfeng

“…The architectures data warehouses are distributed in the cloud center and at the edge, making data storage and processing more flexible and supporting business such as data security, data privacy and cross-geographic data sharing while ensuring query efficiency. …”
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Query scheduling based on cloud-edge multi-data warehouse architecture and cost prediction model by GAO Xuning, YANG Song, LI Mingzhe, ZHANG Yanfeng

“…The architectures data warehouses are distributed in the cloud center and at the edge, making data storage and processing more flexible and supporting business such as data security, data privacy and cross-geographic data sharing while ensuring query efficiency. …”
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n-FFT COMPRESSED SENSING ALGORITHM OF SMART DIMENSIONALITY REDUCTION METHOD AND ITS APPLICATION IN FEATURE EXTRACTION AND CLASSIFICATION OF GEAR SYSTEM by CHEN Xiao, HUANG ChuanJin

“…But the signals of engineering practice are very complex,nonlinear,and non-stationary,Within the external noise interference coupled,makes the analysis and processing more difficult,which lead to the spectral analysis based on FFT method has been very limited. …”
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Large vario-scale datasets by Radan Šuba

“…Therefore, this chapter presents our solution for automated generalization in vario-scale structure based on the idea of subdividing the workload according to a multi-level structure of the space, allowing parallel processing. More specifically: Section 5.1 specifies our goal. …”
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Design of smart agriculture based on big data and Internet of things by Chunling Li, Ben Niu

“…The algorithm in this article can realize the functions of real-time data communication and information processing more efficiently, and has a significant role in promoting agricultural informatization and improving the level of agricultural modernization.…”
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Processing Sentences with Literal versus Figurative Use of Verbs: An ERP Study with Children with Language Impairments, Nonverbal Impairments, and Typical Development by Maria Luisa Lorusso, Michele Burigo, Virginia Borsa, Massimo Molteni

“…The results suggest that linguistic impairments disrupt abstract language processing more than visual-motor impairments. Moreover, ROI and SPM analyses of ERPs point to a predominant involvement of the left rather than the right hemisphere in the comprehension of figurative expressions.…”
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Largest-chunking and group formation: Two basic strategies for a cognitive model of linguistic processing by László Drienkó

“…These findings, on the one hand, support the claim that LCh fragments can be useful in linguistic processing (with AGs), and, on the other hand, are in line with a view that mother-child language facilitates processing more than other speech contexts. …”
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Constant Modulus Wideband MIMO Radar Waveform Design for Transmit Beampattern and Angular Waveform Synthesis by Hao Zheng, Xiaoxia Zhang, Shubin Wang, Junkun Yan

“…A linear frequency modulation (LFM) signal and its corresponding de-chirp operation are one of the basic methods for wideband radar signal processing, which can reduce the burden of the radar system sampling rate and is more suitable for large-bandwidth signal processing. More importantly, most existing methods against interrupted sampling repeater jamming (ISRJ) are based on time–frequency (TF) or frequency domain analysis of the de-chirped signal. …”
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Results of the complex evaluation of bryndza cheese and the byproduct milk whey with the use of enzyme MTG and its activity degree during storage by K. A. Kanina, N. A. Zhizhin, E. A. Karakulova, P. R. Atanasov

“…The enzyme activity retained not only in cheese but also in the by-product — cheese whey, which made its processing more difficult.…”
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Elaboration, development, and installation of the first animal skin bank in Brazil for the treatment of burns and wounds by Edmar Maciel Lima, Manoel Odorico Moraes-Filho, Marina Becker Sales Rocha, Francisco Raimundo Silva-Júnior, Cybele Maria Philopimin Leontsinis, Maria Flaviane Araújo do Nascimento

“…Results: In addition to the production and distribution of tilapia skin for studies on burn victims, the bank is processing more than 5000 tilapia skin samples and is in the distribution phase of this skin for multicentric studies in other states and specialties including gynecology, orthopedics, endoscopy, stomatherapy, vascular surgery, dentistry, and veterinary medicine. …”
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The Acquisition of Subject-Verb Agreement in Typically Developing Children: A Corpus-Driven Analysis by Марван Джаррах, Екаб Аль-Шавашрех, Мохаммад Абушарія

“…Additionally, the study highlights the role of cognitive development in processing more complex linguistic forms over time. This research contributes to the understanding of subject-verb agreement acquisition in morphologically rich languages like JA and provides insights into the interaction between syntax, semantics, and cognitive maturation.…”
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Benchmarking In-Sensor Machine Learning Computing: An Extension to the MLCommons-Tiny Suite by Fabrizio Maria Aymone, Danilo Pietro Pau

“…The TCN model proved to be too large to fit within the memory constraints of the ISPU, primarily due to its greater capacity in terms of number of parameters, designed for processing more complex signals like EMG. This benchmark aims to guide the development of efficient AI solutions for In-Sensor Machine Learning Computing, fostering innovation in the field of Edge AI benchmarking, such as the one conducted by the MLCommons-Tiny working group.…”
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An overview of pink eye infection to evaluate its medications: group decision-making approach with 2-tuple linguistic T-spherical fuzzy WASPAS method by M. Waheed Rasheed, Hind Y. Saleh, Areen A. Salih, Jahangeer Karamat, Muhammad Bilal

“…The constructed multi-attribute group decision-making framework includes the following scenario: (1) In contrast to other types of fuzzy sets, the 2-tuple linguistic T-spherical fuzzy set (2TLT-SFS) looks to be a potent tool for dealing with informational inconsistencies in decision-making scenarios; (2) in order to render the 2TLT-SF accumulation details processing more flexible, the addition, multiplication, scalar multiplication, and exponential laws that are predicated on the Schweizer-Sklar collection of t-conorms and t-norms are described; (3) the Schweizer-Sklar weighted average and Schweizer-Sklar weighted geometric operators are then put forward employing the aforementioned operations to combine the data; (4) subsequently, using newly developed operators (referred to as 2TLT-SF Schweizer-Sklar weighted average and 2TLT-SF Schweizer-Sklar weighted geometric), this work enhances the conventional weighted aggregated sum product assessment (WASPAS) approach. …”
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Comparative Analysis of Computational Times of Lithium-Ion Battery Management Solvers and Battery Models Under Different Programming Languages and Computing Architectures by Moin Ahmed, Zhiyu Mao, Yunpeng Liu, Aiping Yu, Michael Fowler, Zhongwei Chen

“…However, despite processing more mathematical and computational complexity, PBMs are attractive due to their higher accuracy, higher fidelity, and ease of integration with thermal and degradation models. …”
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AlzheimerViT: harnessing lightweight vision transformer architecture for proactive Alzheimer’s screening by C. Kishor Kumar Reddy, Hafsa Ihteshamuddin Ahmed, Muhammad Mohzary, Muhammad Mohzary, T. Monika Singh, Mohammed Shuaib, Shadab Alam, Hani Mohammed Alnami, Hani Mohammed Alnami

“…By integrating Deep learning techniques with careful data processing, more reliable early detection models can be developed, which in turn leads to better treatment outcomes.…”
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ETHNIC MINORITY ELITES IN POST-COMMUNIST COUNTIRES: THE CASE OF ESTONIA by J. Ruus

“…The aim of the article is to study the unity versus fragmentation patterns of minority elites and its influence on democratic processes. More generally, the article makes an attempt to analyse the reasons why the “voice“ of the noncore elite is not heard within Estonian polity.…”
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ETHNIC MINORITY ELITES IN POST-COMMUNIST COUNTIRES: THE CASE OF ESTONIA by J. Ruus

“…The aim of the article is to study the unity versus fragmentation patterns of minority elites and its influence on democratic processes. More generally, the article makes an attempt to analyse the reasons why the “voice“ of the noncore elite is not heard within Estonian polity.…”
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