The Approach to Carbon Emission Quotas of Road Transportation: A Carbon Emission Intensity Perspective by Xiao Li, Li Gao, Jintao Liu

“…Unlike other studies, the idea of allocation of baseline excitation is introduced and the intensity is included in the model as the baseline. Firstly, the Delphi method is employed to select input and output indicators. …”
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EARLY HEMODYNAMIC PREDICTORS OF LETHAL OUTCOMES OF ABDOMINAL SEPSIS by I. A. Kozlov, I. N. Tyurin, S. А. Rаutbаrt

“…At different stages of the study, the following rates demonstrated stable predictive significance: cardiac index (CI), systolic output index, global ejection fraction; and the area under ROC-curves (AUROC) for these rates was compatible with AUROC as per SOFA.Conclusion: The investigation of the after-load dependent relative cardiac efficiency proved that the normal values of CI could be predictive of an unfavorable sepsis outcome if after-load dependent relative cardiac efficiency was < 80%. …”
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A comparative evaluation of GIS spatial analysis tools for prioritizing natural and hybrid shoreline solutions by Afsheen Sadaf, Julie Bruck, Mojtaba Tahmasebi

“…Shoreline segments were classified into three categories: Suitable for living shorelines (LS), hybrid solutions (HS), or not suitable for living shorelines (NLS). Four output maps (weighted/unweighted) were evaluated for accuracy, precision, user-friendliness, flexibility, efficiency, and agreement with LSFM. …”
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A large language model for advanced power dispatch by Yuheng Cheng, Huan Zhao, Xiyuan Zhou, Junhua Zhao, Yuji Cao, Chao Yang, Xinlei Cai

“…Additionally, we have crafted specialized prompt strategies to boost GAIA’s input-output efficiency in dispatch scenarios. When evaluated on the ElecBench benchmark, GAIA surpasses the baseline model Large Language Model Meta AI-2 (LLaMA2) on multiple metrics. …”
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Flow simulation based on MISO and LSTM models in the Yangtze River-Dongting Lake System by Chenglong Li, Shenglian Guo, Zhen Cui, Xin Xiang

“…This study proposed the multi-input and single-output (MISO) model based on system dynamics principles and the long short-term memory (LSTM) neural network model based on deep learning for flow simulation in the Yangtze River-Dongting Lake system. …”
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Optimizing Superior Seed Bunches: A New Approach to Artificial Pollination with Machine Learning Models by Yabani Yabani, Retna Astuti Kuswardani

“…Overall, the model evaluation showed an increase in quantitative output while strengthening production quality and efficiency. …”
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Audit Tata Kelola Academic Information System Menggunakan Framework Cobit 2019 by Satriya Dwi Putra, Herman Herman, Anton Yudhana

“…The focus of the research is on the governance of the AIS development project, namely the resource management process (EDM04) and managed innovation ( APO04). The expected output is a recommendation to maximize the system development process using a gradual method, namely observation, data collection, data validation, and identification of maturity level data. …”
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Analysis of the Raman spectrum of high-power amplifiers of wireless communication systems by Minh Tuong Nguyen, Viktor I. Nefedov, Igor V. Kozlovsky, Alexey V. Malafeev, Kirill A. Selenya, Natalia A. Mirolyubova

“…With an increase in the quality of information transmission in mobile wireless communication systems, there are special requirements for powerful amplification systems (PAS) of receiving-transmitting tracts, which must have high efficiency and high output power, required bandwidth, network capacity, and linearity of message transmission channels. …”
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Performance Analysis in Production Systems with Uncertain Data: A Stochastic Data Envelopment Analysis Approach by Seyedeh Fatemeh Bagheri, Alireza Amirteimoori, Sohrab Kordrostami, Mansour Soufi

“…This paper attempts to determine the best projection point for each DMU when the inputs and outputs data are in stochastic form and presents an alternative definition for the best projection by considering three main aspects: technical efficient, minimal cost, and maximal revenue as much as possible. …”
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Elucidating linear programs by neural encodings by Florian Peter Busch, Florian Peter Busch, Matej Zečević, Kristian Kersting, Kristian Kersting, Kristian Kersting, Kristian Kersting, Devendra Singh Dhami

“…LPs are mostly considered white-box and thus assumed simple to explain, but we argue that they are not easy to understand in terms of relationships between inputs and outputs. To mitigate this rather non-explainability of LPs we show how to adapt attribution methods by encoding LPs in a neural fashion. …”
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Comprehensive Effects of Operation of Pumped-Storage Hydropower Plants on Downstream Conventional Hydropower Plants by ZHU De-kang, QIN Rui, CHENG Xiang, GUO Xu-ye

“…A comprehensive analysis of the systematic effect of the operation of the pumped-storage hydropower plants on the downstream conventional hydropower plants holds significant practical value for scientifically developing scheduling strategies for regional power stations and improving overall operational efficiency.[Methods] To systematically and quantitatively analyze this effect, this study proposed a water consumption rate-head curve fitting method based on a multi-layer perceptron (MLP). …”
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Influence of Pedestal Fiber Splice on Tm-Doped Fiber Laser Performance by Sijie Wang, Hui Shen, Xiaolong Chen, Qiubai Yang, Meng Wang, Yunfeng Qi, Xisheng Ye

“…Arc-fusion induced refractive-index deformation leads to laser leakage from the core to the pedestal, resulting in a periodic decrease in the output power of TDFL. Based on the measured refractive-index of splice with different arc-fusion parameters, the influence of the Tm-doped pedestal splice on laser propagation was analyzed using the beam propagation method (BPM). …”
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Stepwise self-knowledge distillation for skin lesion image classification by Jian Zheng, Kewei Xie, Dingwen Zhang, Zhiming Lv, Xiangchun Yu

“…However, current self-knowledge distillation methods encounter difficulties in determining appropriate learning objectives for the next stage, which limits the improvement potential of the student model. …”
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Development of Product Supply Chain Strategy Using BMC and Axiomatic Design by Kittichotsatsawat Y., Rauch E., Woschank M., Tippayawong K. Y.

“…The output of the appropriate model allows for developing and improving the supply chain strategy according to the Industry 4.0 strategy. …”
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A Multi-Scale Deep Learning Framework Combining MobileViT-ECA and LSTM for Accurate ECG Analysis by Abduljabbar S. Ba Mahel, Mehdhar S. A. M. Al-Gaashani, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Mohammed Saleh Ali Muthanna, Ammar Muthanna, Ahmed Aziz

“…A parallel architecture integrates a MobileViT block for efficient spatial feature extraction and an Efficient Channel Attention (ECA) module to refine feature representations. …”
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Review of Control Techniques for Dual Three-phase PMSM Drives with Low Carrier Ratios by Minrui Gu, Zheng Wang, Ming Cheng, Weifeng Su, Linyue Shang, Po Liu

“…The dual three-phase PMSM (DTP-PMSM) drives have received wide attention at high-power high-efficiency applications due to their merits of high output current ability and copper-loss-free field excitation. …”
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Ship Scheduling Algorithm Based on Markov-Modulated Fluid Priority Queues by Jianzhi Deng, Shuilian Lv, Yun Li, Liping Luo, Yishan Su, Xiaolin Wang, Xinzhi Liu

“…To solve the above problems, this paper constructs a ship scheduling algorithm based on a Markov-modulated fluid priority queue, which describes the stochastic evolution of the anchorage operation state via a continuous-time Markov chain and abstracts the arrival and service processes of ships into a continuous fluid input and output mechanism modulated by the state. The algorithm introduces a multi-priority service strategy to achieve the differentiated scheduling of different types of ships and improves the computational efficiency and scalability based on a matrix analysis method. …”
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ECGNet: High-Precision ECG Classification Using Deep Learning and Advanced Activation Functions by Muhammad Abubakar, Ahsan Raza, Arfan Ali Nagra, Anas Bilal, Ahmad Alshammari, Monir Abdullah, Sahraoui Dhelim

“…The ECGNet model achieves 99% accuracy, outperforming the existing methods. These matrices reflected their ability to efficiently classify the five different classes. …”
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Exploring large language models for summarizing and interpreting an online brain tumor support forum by Christy Muasher-Kerwin, M Courtney Hughes, Michelle L Foster, Ibrahim Al Azher, Hamed Alhoori

“…Conclusion LLMs, particularly GPT-4, show strong potential for summarizing complex, qualitative health data, offering time-efficient and consistent outputs. These tools may enhance research efficiency and support in patient-centered environments. …”
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Implementation of the Wobbling Technique with Spatial Resolution Enhancement Approach in the Xtrim-PET Preclinical Scanner: Monte Carlo Simulation and Performance Evaluation by Bahador Bahadorzadeh, Reza Faghihi, Sedigheh Sina, Ahdiyeh Aghaz, Arman Rahmim, Mohammad Reza Ay

“…To prevent image blurring during gantry wobbling, all locations detected in the 3D output were corrected in the sinogram matrix according to the coincidence time of annihilation photons and the gantry motion. …”
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