Use S-FUNCTION BUILDER in MATLAB/SIMULINK by V. G. Mikhailov

“…The decision of this problem through installation of system variable Windows is offered.The approach and reception of the task of external indignation by means of the module S-FUNCTION BUILDER is offered, allowing to solve these problems.Adjustment and module use S-FUNCTION BUILDER for formation of external indignation for these problems are in detail considered.The program of realization of the task of external indignation in language C/C++ is offered, the initial text of the program is resulted.The block diagram of use of the module S-FUNCTION for the decision of joint modelling of movement and loading the vehicle is shown.Scopes of the offered program and the approach for probes mechatronic systems are considered.The offered approach and reception of the task of external indignation by means of the module S-FUNCTION BUILDER allows to solve challenges and to pass to more difficult imitating modelling with participation of the person.…”
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The scope and functions of the stative extension in Swahili by Julius Taji

“…It can thus co-occur with the reciprocal (to show that the subject is entering a state of being acted upon), the applicative extension (to show that the subject is passively entering a state of being acted upon for the benefit of someone or at a certain location), and the causative extension to induce the meaning ‘be able to be caused to do something’. It is generally established that the stative extension in Swahili has a wider scope of occurrence and can perform more functions than it has previously been assumed.…”
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Flexible Approximation Functions for Broadband Matching by G. A. Filippovich, M. A. Yantsevich

“…The paper is based on the generalized Darlington synthesis method. To extend the capabilities of the method, approximating functions with increased variation properties are used. …”
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Memory Functions in Obsessive–Compulsive Disorder by Riccardo Gurrieri, Matteo Gambini, Elena Pescini, Diletta Mastrogiacomo, Gerardo Russomanno, Donatella Marazziti

“…This review aims to synthesize current findings on memory functioning in OCD, focusing on distinct memory systems and the role of metacognition. …”
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A generative adversarial network with multiscale and attention mechanisms for underwater image enhancement by Liquan Zhao, Yuda Li, Tie Zhong

“…In the generative network, we first design a residual convolution module to extract more texture and edge information from underwater images. …”
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Neuron Network Modeling of Intensification of Isogumulone Extraction in a Rotary Pulse Generator by Anton V. Shafrai, Elena A. Safonova, Dmitry M. Borodulin, Yana S. Golovacheva, Sergey A. Ratnikov, Wasfie Barsoom Wasef Kerlos

“…The resulting model had the following parameters: two hidden layers, 30 neurons each; neuron activation function – GELU; loss function – MSELoss; learning step – 0.001; optimizer – Adam; L2 regularization at 0.00001; training set of four batches, 16 records each; 9,801 epochs. …”
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Style-VT: Style Conditioned Chord Generation by Variational Transformer With Chord Substitution by Kyowon Song, Dongyoung Seo, Junsu Na, Heecheol Yang

“…We also introduce a newly defined chord substitution into the objective function, allowing for greater flexibility in generated chord progressions. …”
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Virtual Synchronous Generator Based on Hybrid Multi-Vector Model Predictive Control by Yinyu Yan, Zhiyuan Fan, Yichao Sun, Wei Wang, Dongmei Yang, Zheng Wei

“…Compared to the three-vector MPC, the proposed method requires more iterative calculations per control period but achieves optimal harmonic content in the output current. …”
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Overall Layout Method of Frame Structure Plane Based on Generative Adversarial Network by ZHONG Yan, LEI Xin, LONG Danbing, FANG Changjian, KANG Yongjun

“…<italic>γ</italic>_all reached 0.88, suggesting that the generated structural layout was sound. The model’s generated frame columns met functional requirements, were well-placed, and had appropriate size and density. …”
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Sensorless control of the high-speed switched reluctance generator of the micro power plant by P. G. Kolpakhchyan, D. V. Olkhovatov

“…In the distributed and autonomous generation systems using renewable energy sources, low-power generating units (not more than 100-200 kW) based on microturbines function. …”
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On Channel Transforms to Enhance Reciprocity and Quantization in Physical-Layer Secret Key Generation by Ghalib Hussain, Syed Junaid Nawaz, Shurjeel Wyne, Mohammad N. Patwary

“…Within the physical layer security (PLS) paradigm, the secret key generation (SKG) technique exploits the wireless channel&#x2019;s randomness to generate symmetric secret keys for message encryption/decryption by legitimate communication nodes. …”
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How do people react to political bias in generative artificial intelligence (AI)? by Uwe Messer

“…Participants who perceived alignment were more likely to grant GAI access to sensitive smartphone functions and to endorse the use in critical domains (e.g., loan approval; social media moderation). …”
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Generation and transformation of α-oxy carbene intermediates enabled by copper-catalyzed carbonylation by Yang Yuan, Xiao-Feng Wu

“…With the continuous development of carbonylation and the in-depth study of the mechanism, more mechanistic details and variations have been revealed, which provide more possibilities for organic synthesis. …”
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Chronic Gestational Inflammation: Transfer of Maternal Adaptation over Two Generations of Progeny by R. C. M. Adams, C. Smith

“…Given the significant contribution of noncommunicable diseases—which are characterised by chronic inflammation—to population mortality, the potential for chronic maternal inflammation mediating foetal programming is a growing concern. The extent of generational transfer in terms of immune functionality and leukocyte glucocorticoid sensitivity was investigated over two generations of offspring (F1 and F2) in a model of chronic LPS-induced maternal inflammation in C57/BL/6 mice. …”
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Identification and characterization of microRNAs in normal equine tissues by Next Generation Sequencing. by Myung-Chul Kim, Seung-Woo Lee, Doug-Young Ryu, Feng-Ji Cui, Jong Bhak, Yongbaek Kim

“…Characterization of miRNAs in normal tissues is an important step to investigate the functions of miRNAs in various physiological and pathological conditions. …”
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Consumer Responses to Generative AI Chatbots Versus Search Engines for Product Evaluation by Soyoung Kim, Randi Priluck

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A Multimodal Framework Embedding Retrieval-Augmented Generation with MLLMs for Eurobarometer Data by George Papageorgiou, Vangelis Sarlis, Manolis Maragoudakis, Christos Tjortjis

“…The integration of LLMs facilitates advanced synthesis of insights, providing a more comprehensive understanding of public opinion trends. …”
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Puma algorithm for environmental emissions and generation costs minimization dispatch in power systems by Badr Al Faiya, Ghareeb Moustafa, Hashim Alnami, Ahmed R. Ginidi, Abdullah M. Shaheen

“…Also, efforts are directed toward harmonizing economic objectives with environmental conservation through accurate modelling of the Economic and Environmental Dispatch (EED) problem. This study adopts a more complex approach by formulating the fuel cost and produced emission objectives as cubic polynomial functions. …”
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CRYPTO-RESISTANT METHODS AND RANDOM NUMBER GENERATORS IN INTERNET OF THINGS (IOT) DEVICES by Petro Klimushyn, Tetiana Solianyk, Oleksandr Mozhaiev, Yurii Gnusov, Oleksandr Manzhai, Vitaliy Svitlychny

“…Research methods: method of structural and functional analysis of RNG and IoT devices, cryptographic methods of information protection, methods of random sequence generation, method of stability analysis of systems, methods of construction of autonomous Boolean networks and Boolean chaos analysis, methods of quality assessment of random sequences. …”
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Measuring overall functional diversity by aggregating its multiple facets: Functional richness, biomass evenness, trait evenness and dispersion by Laurie Anne Wojcik, Ursula Gaedke, Ellen vanVelzen, Toni Klauschies

“…We compared K to other, more classic metrics measuring fewer facets of functional diversity by calculating all these indices for randomly and non‐randomly generated communities. …”
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