Assessing impact of chamber restricted environmental stimulation therapy on stress and sleep quality among university students: an intervention study by Igor Bartolen, Petra Soláriková

“…Single brief (3-hour) Chamber REST session was completed by 176 participants, while 61 were part of the control group. Matching procedure was performed to equate experimental and control groups, with a 2:1 ratio (experimental = 120, control = 60). …”
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A neural network approach to carbon emission prediction in industrial and power sectors by Syed Azeem Inam, Syed Muhammad Hassan Zaidi, Abdullah Ayub Khan, Sajid Ullah

“…The results provide information based on multi-country sectoral data of fifty nations by applying an FFNN-powered global emission model, combining time series. The framework enables political leaders and industry leaders to implement sustainable practices, optimize emission controls, and develop specific regulations through predictive scenario analysis, providing a reliable basis for decision-making in the field of pollution control and climate change mitigation.…”
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A Secure IIoT Environment That Integrates AI-Driven Real-Time Short-Term Active and Reactive Load Forecasting with Anomaly Detection: A Real-World Application by Md. Ibne Joha, Md Minhazur Rahman, Md Shahriar Nazim, Yeong Min Jang

“…Furthermore, we introduce an optimized Isolation Forest model for anomaly detection that considers the transient conditions of appliances when identifying irregular behavior. …”
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Logarithmic Mean Divisia Index Analysis and Dynamic Back Propagation Neural Network Prediction of Transport Carbon Emissions in Henan Province by Changjiang Mao, Jian Luo, Shengyang Jiao, Bin Zhao

“…Our core contribution is the development of an integrated model that quantifies the impact of key factors on carbon emissions and offers policy recommendations. …”
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Hyperspectral In-Situ Monitoring for Deep Learning-Based Anomaly Classification in Metal Additive Manufacturing by Charles Snyers, Julien Ertveldt, Kyriakos Efthymiadis, Jan Helsen

“…The inference speed of the optimized model is measured and shown to be compatible with real-time applications. …”
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Electric Submersible Pump Fault Diagnosis Based on Laplacian Eigenmaps and Weighted Extreme Learning Machine by XU Zekun, FU Jun, GAO Xiaoyong, ZHANG Yu, LI Qiang, TAN Chaodong

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Internet Financial Risk Monitoring and Evaluation Based on GABP Algorithm by Yaqin Guang, Shunyong Li, Quanping Li

“…Thirdly, the weight and threshold of the BP algorithm are optimized by using the GA, and the GABP model is established. …”
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Posture Detection of Dual-Hemisphere Capsule Robot Based on Magnetic Tracking Effects and ORB-AEKF Algorithm by Xu Liu, Yongshun Zhang, Qiancheng Wang

“…In this method, the DHCR realizes fixed-point posture adjustment based on tracking effects, and feature points are recognized and matched with the help of the ORB algorithm on the GI image acquired by a vision sensor. The system model is derived from the dynamic model and feature point information. …”
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Automated mechanical ventilator design and analysis using neural network by S. Hariharan, Hemalatha Karnan, D. Uma Maheswari

“…The check valves 1 and 2 governed by the control parameters provide optimal volume that must be sent inside the tracheal region. …”
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Time-adaptive phase estimation by Brennan de Neeve, Andrey V. Lebedev, Vlad Negnevitsky, Jonathan P. Home

“…Phase estimation is known to be a robust method for single-qubit gate calibration in quantum computers, while Bayesian estimation is widely used in devising optimal methods for learning in quantum systems. We present a Bayesian method that adaptively chooses a control phase and the time of coherent evolution. …”
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Reinforcement Method for Transmission Corridor to Enhance Resilience Against Typhoon Disasters by Shanshan SHI, Xinchi WEI, Zijun YUAN, Haozhong CHENG, Yun SU, Heng ZHANG

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Determining mosquito age using surface-enhanced Raman spectroscopy and artificial neural networks: insights into the influence of origin and sex by Zili Gao, Yuzhen Zhang, Laura C. Harrington, Courtney C. Murdock, Elisabeth Martin, Dalton Manbeck-Mosig, Steve Vetrone, Nicolas Tremblay, Christopher M. Barker, John M. Clark, Lili He, Wei Zhu

“…Classification tasks used cross-entropy loss; regression applied mean squared error. Models were trained with a 70–30 training–validation split and optimized using the Adam optimizer over 10,000 iterations. …”
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Enhancing Arabic Reading Skills: A Prezi Program-Based Learning Material Development for Integrated Islamic Elementary Schools in Indonesia by Muchsinul Khuluq, Nurul Imamah

“…Combining qualitative and quantitative approaches within the Research and Development (R&D) methodology, the study progresses through stages including needs identification, expert consultations, and model development. Implemented in a fifth-grade class, the model underwent testing using a pretest-posttest Control Group design, demonstrating significant improvements in students' reading comprehension (t0=4.6, exceeding critical t-value at 99% confidence level). …”
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Oil Recovery Mechanism of Polymer Gel Injection Between Injection Wells and Production Wells to Block the Dominant Channel of Water Flow by Dong Zhang, Yan Wang, Peng Ye, Shutong Li, Jianguang Wei, Lianbin Zhong, Runnan Zhou

“…The experimental results indicate that under these conditions, the model achieved the highest total recovery rate, with optimal displacement of remaining oil. …”
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From tumor microenvironment to ocular hypertension: unraveling the pathogenesis and therapeutic strategies of cancer-related glaucoma by Bin Lin, Bin Lin, Bin Lin, Bin Lin, Bin Lin, Bin Lin, Dong-kan Li, Dong-kan Li, Dong-kan Li, Dong-kan Li, Dong-kan Li, Dong-kan Li

“…Future research should focus on personalized therapeutic strategies, gene therapy applications, integration of multimodal imaging, and optimization of AI models to optimize early intervention and reduce the risk of irreversible optic nerve damage.…”
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Protective effect of Pu-erh tea polysaccharides and catechins compound on immunosuppressive mice by CHU Xi, ZHOU Yufei, LIU Ailing, ZHOU Miao, LI Dongfang, ZHANG Sheng

“…Normal control group (CK), model control group (MD) and TPC group could be effectively distinguished by OPLS-DA. …”
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Efficiency Design of Traction Inverters Based on Deep Learning and TRIZ by LIAGN Kaiwei, JIAO Bi, LIU Yongjiang, LING Zhenjun, SU Li, XIE Haibo

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Analysis of Rebound Rate of Wet Shotcrete Based on Experiment and Discrete Element Method by Chang Su, Zhuang Wu, Xiaokui Zheng

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An Improved SHEPWM Modulation Algorithm for Three-levelEnergy Feedback Inverter by WU Xuefeng, CHEN Jielian, WANG Xiong, SONG Qianru, YIN Weiheng

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Mixed Cooperation MAC Protocol with Sleep Mechanism for Data Acquisition in Wireless Machine-to-Machine Networks by Yulei Zhao, Bing Du, Ning Ge

“…Furthermore, based on some reasonable assumptions, the proposed MS-CTDMA analysis model can be extended to the whole M2M network. Consequently, we propose an optimal source node selection strategy from the perspective of the relay node during its idle time, regarding the traffic load, residual energy, and channel state. …”
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