Prompting for products: investigating design space exploration strategies for text-to-image generative models by Leah Chong, I-Ping Lo, Jude Rayan, Steven Dow, Faez Ahmed, Ioanna Lykourentzou

“…The unclear link between text input and image output further complicates their application. This work empirically investigates design space exploration strategies that can successfully yield product images that are feasible, novel and aesthetic – three common goals in product design. …”
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Le tourisme à moto : les géographies renouvelées d'un phénomène marginal by Jean Scol

“…Ces prestations, portées par les collectivités, les professionnels ou le monde associatif, prennent surtout la forme d'itinéraires dédiés ou d'hébergements identifiés voire labellisés à destination des motards. …”
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Low-Power On-Chip Energy Harvesting: From Interface Circuits Perspective by Shuang Song, Dehong Wang, Mengyu Li, Siyao Cao, Feijun Zheng, Kai Huang, Zhichao Tan, Sijun Du, Menglian Zhao

“…Moreover, techniques used to interface with multiple mode energy harvesters to obtain a stable output power with optimal power efficiency are discussed as an emerging direction. …”
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Optimal nonlinear filtering of MPSK signals in the presence of a Doppler frequency shift by G. V. Kulikov, T. T. Do, R. R. Usmanov

“…One of them is a discrete symbol estimation unit, at the output of which a decision on the received symbol is issued, and the other is a phase-lock circuit. …”
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INTELTRADE: Intelligent Peer-to-Peer Energy Trading System With Dynamic Pricing and Coalition Formation by Nicholas Kemp, Md Sadman Siraj, Eirini Eleni Tsiropoulou, Symeon Papavassiliou

“…Initially, the Approximate INTELTRADE (AINTELTRADE) mechanism uses matching theory to quickly determine the initial buyer-seller matches by ignoring prosumers’ externalities. This output feeds the Accurate INTELTRADE (AccINTELTRADE) mechanism, which refines the coalition formation using game theory while considering the prosumers’ externalities. …”
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Identification of Pyrotechnic Shock Sources for Shear Type Explosive Bolt by Yanhua Li, Shihui Xiong, Yuan Li, Xiaogang Li, Yuquan Wen, Huina Mu, Zhiliang Li

“…In the high preload condition, the preload release is major contributor to the overall shock response output, accounting for approximately 57.51%, while the contributions of the three shock sources of propellant combustion, piston shear, and piston impact are equivalent, but they are significant contributors in the low preload condition. …”
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Thermal design of a thermoelectric refrigerator operating near room temperature using artificial neural network by Hichem Ykrelef, Younes Chiba, Mounir Zirari, Ahmed Benyekhlef, Abdelali Boukaoud, Djamel Sebbar, Abdelkrim Kherkhar, Hayati Mamur

“…The input parameters of humidity, time, performance coefficient, cooling power, and heat dissipation were introduced into the model to enhance the cold temperature as the output. Using a multilayer perceptron (MLP), the experimental dataset was used for training, testing, and validating the ANN. …”
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Structural Solutions that Increase the Dynamic Accuracy of a Wave Solid-State Gyroscope by D. M. Malyutin

“…Such a structure for constructing a VTG can be recommended when solving a measurement problem in which it is necessary to accurately measure the angular velocity, and the phase lag of the output signal in relation to the measured angular velocity is of secondary importance. …”
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Econometric Analysis of Energy Consumption Pattern of Different Tillage Methods in Corn Cultivation by Mohammad Sharifi, Shamsi Soodmand-Moghaddam

“…In fodder corn cultivation, the highest production yield belonged to the NTR-NTR system with a value of 85,756 kg/ha; which has the highest energy output with 686.04 GJ/ha. The NTR-NTR system has the best performance in energy indicators, including energy ratio, net energy, energy productivity and energy specific, due to its higher performance in fodder production than other systems, with values of 26.20, 659.86 GJ/ha, 0.075 kg/MJ and 13.27 MJ/kg, respectively. …”
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Anaerobic Co-digestion of Palm Oil Sludge, Cassava Peels, Cow Dung and Ground Eggshells: Process Optimization and Biogas Generation by D. O. Olukanni, M. J. Kamlenga, C. N. Ojukwu and T. Mkandawire

“…On the 13th day of anaerobic digestion, biogas output peaked at 34.90L, and pH and temperature were maintained at 6.5 and 35.0°C, respectively, the ideal ranges for a healthy process. …”
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LADRC-MPC strategy for three-level UPQC by CAI Xiuwen, ZHAO Tao, ZHANG Mingzhou, TAO Yibin, LI Guipu

“…The partitioning of the space voltage vector in model prediction is optimized to reduce the controller′s computational load, thereby improving computation speed while ensuring the quality of the output current. Finally, the system is modeled and simulated on the MATLAB/Simulink simulation platform. …”
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Molecular logic for cellular specializations that initiate the auditory parallel processing pathways by Junzhan Jing, Ming Hu, Tenzin Ngodup, Qianqian Ma, Shu-Ning Natalie Lau, M. Cecilia Ljungberg, Matthew J. McGinley, Laurence O. Trussell, Xiaolong Jiang

“…In particular, CN cell-type identity is encoded in a transcriptional architecture that orchestrates functionally congruent expression across a small set of gene families to customize projection patterns, input-output synaptic communication, and biophysical features required for encoding distinct aspects of acoustic signals. …”
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Thermodynamic analysis of supercritical carbon dioxide cycle using waste heat of V18 MAN 51/60DF engine by Mehmet Erhan Şahin, Ahmet Elbir, Arif Emre Özgür

“…The compressor requires 35.51 kW of work, while the turbine produces 89.62 kW, resulting in a net work output of 54.11 kW. The CO2 mass flow rate is 0.9988 kg/s, and 320.3 kW of heat is transferred to sea water through a flow rate of 0.1231 kg/s. …”
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Strategic Resource Planning for Sustainable Biogas Integration in Hybrid Renewable Energy Systems by Pooriya Motevakel, Carlos Roldán-Blay, Carlos Roldán-Porta, Guillermo Escrivá-Escrivá, Daniel Dasí-Crespo

“…Central to the research is optimizing biomass inflow to the biogas reactor—the primary controllable variable—to effectively manage the supply chain, maximize energy output, and minimize logistical costs. The study addresses practical challenges by utilizing real data on demand, truck capacities, and costs and employing robust optimization tools like Gurobi. …”
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Immunization against Lamb Haemonchosis with a Recombinant Somatic Antigen of Haemonchus contortus (rHcp26/23) by Leticia García-Coiradas, Francisco Angulo-Cubillán, Basilio Valladares, Enrique Martínez, Concepción de la Fuente, José María Alunda, Montserrat Cuquerella

“…Immunization did not induce any significant protection after challenge with 16000 infective larvae of H. contortus, and comparable values for parasite faecal egg output, packed cell volume, and abomasal parasite burdens were found in vaccinated and control animals.…”
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Depression recognition using voice-based pre-training model by Xiangsheng Huang, Fang Wang, Yuan Gao, Yilong Liao, Wenjing Zhang, Li Zhang, Zhenrong Xu

“…Additionally, a small fine-tuning network was used as a classification model to output depression classification results. Subsequently, the proposed model was fine-tuned on the DAIC-WOZ dataset and achieved excellent classification results. …”
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Application of Multimedia Quality Evaluation Relying on Intelligent Robot Numerical Control Technology in New Energy Power Generation System by Ruijuan Sun, Xiaoyuan Dang

“…In this paper, an appropriate wind and solar power generation model was constructed based on the output characteristics of wind and solar. Secondly, the influence of random faults between units on the subsequent loading rate was studied through probability calculation. …”
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Multi-objective Newton-Raphson-based optimizer for fractional-order control of PEM fuel cells by Mahmoud S. AbouOmar, Sami El Ferik

“…The second objective is minimizing the compressor power to increase the net power output of the PEMFC stack. Results prove the efficiency of the proposed MONRBO algorithm for solving the PEMFC air-feeding multi-objective control problem.…”
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RETRACTED: ASSESSMENT OF THE ADULT’S PERSONAL DEVELOPMENT AS AN INDICATOR OF THE QUALITY OF FURTHER EDUCATION by Natalia A. Biryukova

“…It is possible to develop further system of the concrete indicators allowing to build individual trajectories of training in the different directions of preparation in the system of further education on the basis of the output criteria for evaluation of educational activity of adults.…”
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DIAGNOSIS AND PREDICTION OF CHOLECYSTITIS DEVELOPMENT ON THE BASIS OF NEURAL NETWORK ANALYSIS OF RISK FACTORS by V. A. Lazarenko, A. E. Antonov

“…The training of the artificial neural network with a quantitative output coding the age of probable hospitalization made it possible to generate an array of values, signifficantly (α ≤ 0.001) not differing from the empirical data. …”
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