Protocol for estimating the contrast transfer function and absolute tilt angle offset for cryo-electron tomography using CTFMeasure by Ranhao Zhang, Yuan Shen, Xueming Li

“…We then detail procedures for visualizing the power spectra and analyzing the output files.For complete details on the use and execution of this protocol, please refer to Zhang et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.…”
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Biodegradable triboelectric nanogenerator as a implantable power source for embedded medicine devices by Gang Jian, Shangtao Zhu, Xiao Yuan, Shengqiao Fu, Ning Yang, Chao Yan, Xu Wang, Ching-Ping Wong

“…Reed film and polylactic acid were chosen among different biodegradable materials as the triboelectric layers due to having the best generator output performance by providing voltages that reached 368 V. …”
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Encrypted traffic classification method based on convolutional neural network by Rongna XIE, Zhuhong MA, Zongyu LI, Ye TIAN

“…Aiming at the problems of low accuracy, weak generality, and easy privacy violation of traditional encrypted network traffic classification methods, an encrypted traffic classification method based on convolutional neural network was proposed, which avoided relying on original traffic data and prevented overfitting of specific byte structure of the application.According to the data packet size and arrival time information of network traffic, a method to convert the original traffic into a two-dimensional picture was designed.Each cell in the histogram represented the number of packets with corresponding size that arrive at the corresponding time interval, avoiding reliance on packet payloads and privacy violations.The LeNet-5 convolutional neural network model was optimized to improve the classification accuracy.The inception module was embedded for multi-dimensional feature extraction and feature fusion.And the 1*1 convolution was used to control the feature dimension of the output.Besides, the average pooling layer and the convolutional layer were used to replace the fully connected layer to increase the calculation speed and avoid overfitting.The sliding window method was used in the object detection task, and each network unidirectional flow was divided into equal-sized blocks, ensuring that the blocks in the training set and the blocks in the test set in a single session do not overlap and expanding the dataset samples.The classification experiment results on the ISCX dataset show that for the application traffic classification task, the average accuracy rate reaches more than 95%.The comparative experimental results show that the traditional classification method has a significant decrease in accuracy or even fails when the types of training set and test set are different.However, the accuracy rate of the proposed method still reaches 89.2%, which proves that the method is universally suitable for encrypted traffic and non-encrypted traffic.All experiments are based on imbalanced datasets, and the experimental results may be further improved if balanced processing is performed.…”
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Machine Learning‐Based Emulator for the Physics‐Based Simulation of Auroral Current System by Ryuho Kataoka, Aoi Nakamizo, Shinya Nakano, Shigeru Fujita

“…The inputs are the solar wind time series with date and time, and the outputs are the time series of the ionospheric auroral current system in the form of two‐dimensional (2D) patterns of field‐aligned current, potential, and conductivity. …”
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Efficient parameter extraction in PV solar modules with the diligent crow search algorithm by Mostafa Jabari, Morteza Azimi Nasab, Mohammad Zand, Lilia Tightiz, Sanjeevikumar Padmanaban, Juan C. Vasquez Q

“…Additionally, we utilize the powerful DCSA algorithm to identify the parameters of solar cells, aiming to maximize power output from solar energy—a critical global concern. …”
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Accusations and Law Articles Prediction in the Field of Environmental Protection by Sihan Leng, Xiaojun Kang, Qingzhong Liang, Xinchuan Li, Yuanyuan Fan

“…Finally, EKICAN fuses semantic information from different parts with external knowledge to output prediction results. Experimental results show that EKICAN achieves state-of-the-art performance on the JELJD compared to advanced models.…”
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A Virtual Synchronous Generator Control Strategy Based on Transient Damping Compensation and Virtual Inertia Adaptation by Yan Xia, Yang Chen, Yao Wang, Renzhao Chen, Ke Li, Jinhui Shi, Yiqiang Yang

“…Initially, a closed-loop small-signal model for the grid-connected active power loop (APL) of the TVSG is constructed, which highlights the contradiction between the dynamic and static characteristics of TVSG output power through the analysis of root locus distribution trends. …”
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Performance assessment of a cogeneration system in a sugar cane factory using energy and exergy analysis by Mostafa Abouelsoud, Mohamed Y. Khalil, Ramadan Hefny Ali, Hussein M. Maghrabie

“…To address inefficiencies, two modifications were proposed: replacing mechanical turbines in RJP process with direct current (DC) motors, boosting power output by 5500 kW, providing 2000 kW for grid export, and saving 163,200 $ annually; and reducing bagasse moisture by 42 % using flue gas waste heat, increasing boiler exergy efficiency by 3.82 % and overall system efficiency by 3.38 %, saving 29,376 tons of bagasse annually, valued at 763,776 $. …”
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Can a Positive Allosteric Modulation of GABAergic Receptors Improve Motor Symptoms in Patients with Parkinson’s Disease? The Potential Role of Zolpidem in the Treatment of Parkinso... by Antonio Daniele, Francesco Panza, Antonio Greco, Giancarlo Logroscino, Davide Seripa

“…Since a high density of zolpidem binding sites is in the two main output structures of the basal ganglia which are abnormally overactive in PD (internal globus pallidus, GPi, and substantia nigra pars reticulata, SNr), it was hypothesized that in PD patients zolpidem may induce through GABAA receptors an inhibition of GPi and SNr (and, possibly, of the subthalamic nucleus also), resulting in an increased activity of motor cortical areas (such as supplementary motor area), which may give rise to improvement of motor symptoms of PD. …”
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To be agents or not to be agents, that is the question: the impact of the online platforms revolution on the notion of agency under EU competition law by Luca Villani

“…Under the platform model, value is created through a complex array of interactions among producers, a number of principals, consumers and online platforms. The output is a package of products and services. Online platforms compete with each other, with other market players and sometimes even with their principals. …”
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Efficient coupling of dual beam combined laser into micro water jet for deep processing by Ji Wang, Chunguang Chen, Guolong Wang, Kaijie Cheng, Wenwu Zhang

“…Based spatially polarized light combination and temporal phase modulation, two lasers are effectively coupled into a water jet with diameter of 100 μm. The maximum output peak power reaches 100 kW and the maximum pulse energy is 4.63 mJ with an operation frequency range from 1 to 20 kHz. …”
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Energy Efficiency in Smart Buildings through Prediction modeling and Optimization Using a Modified Whale Optimization Algorithm by El Assri Nasima, Ennejjar Mohammed, Jallal Mohammed Ali, Chabaa Samira, Zeroual Abdelouhab

“…The dataset encompasses a diverse range of buildings with 8 input features and one output variable, representing the energy consumption. …”
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Optimizing the PM2.5 Tradeoffs: The Case of Taiwan by Shihping Kevin Huang, Sin-Yao Chen, Kuei-Lan Chou, Wei Chung Hsu, Kang-Hua Lai, Tung-Hung Chueh, Lopin Kuo, William Lu

“…Overall, central Taiwan and Chiayi regions have the highest PM2.5 projections at XGBoost output of 68.5 and 59.1 level. Finally, our model indicates that the use of fossil fuel based small tracks and tractor trailers should be reduced by 80% to maintain a reasonable level of PM2.5.…”
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Design and Implementation of a 16-bit Multi-Mode Delta-Sigma Digital-to-Analog Converter with Time-Interleaved Structure, Multi-Channel, and Compensation of Non-Idealities Based on... by Abolfazl Roshanpanah, Pooya Torkzadeh, Khosrow Hajsadeghi, Massoud Dousti

“…This approach significantly enhances the SNDR and SFDR of the DSM output, even for the BP mode. Another challenge is the mismatch error in DAC cells. …”
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Graphical Smooth Switching Control Method of Four-Switch Buck-Boost Converter in Fuel Cell Systems by Hongwei Feng, Yuanyuan Liu, Chunping Guo, Ye Li, Tai Li

“…In addition, in order to accelerate the response speed during the system mode switching process and solve the problem of sudden duty cycle changes, this paper designs input voltage feedforward functions for each of the four working modes based on the voltage-current dual loop PI control, greatly enhance the controller’s response speed and effectively reducing the output voltage fluctuation during the mode switching process. …”
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Research on Optimization of Injection Molding Process Parameters of Automobile Plastic Front-End Frame by Kai Yang, Lingfeng Tang, Peng Wu

“…A back propagation (BP) neural network model with input as a process parameter and output as an evaluation index is established by MATLAB and optimized by a genetic algorithm (GA). …”
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Forecasting dengue in Bangladesh using meteorological variables with a novel feature selection approach by Mahadee Al Mobin

“…The custom objective function’s output can be transformed to quantify the contribution of each variable to the target variable’s variability, providing deeper insights into the workings of black box models. …”
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PW-FBPNN: A Hybrid Fault Diagnosis Method for Power Circuit Systems Combining Principal Component Analysis, Wavelet Packet Transform, and Fuzzy Neural Networks by Xu Chen, Chao Zhang, Haomiao Zhang, Zhiqiang Cheng, Yu Yan

“…Due to the complexity of fault states and the non-linear relationship between input and output responses, fault diagnosis in complex power circuit systems faces significant challenges. …”
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An interpretable machine learning model for predicting in-hospital mortality in ICU patients with ventilator-associated pneumonia. by Junying Wei, Heshan Cao, Mingling Peng, Yinzhou Zhang, Sibei Li, Wuhua Ma, Yuhui Li

“…<h4>Results</h4>A total of 1,894 VAP patients were included, with 12 features ultimately selected for model construction: 24-hour urine output, blood urea nitrogen, age, diastolic blood pressure, platelet count, anion gap, body temperature, bicarbonate level, sodium level, body mass index, and whether combined with congestive heart failure and cerebrovascular disease. …”
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Deep Brain Stimulation of Caudal Zona Incerta and Subthalamic Nucleus in Patients with Parkinson's Disease: Effects on Diadochokinetic Rate by Fredrik Karlsson, Elin Unger, Sofia Wahlgren, Patric Blomstedt, Jan Linder, Erik Nordh, Hamayun Zafar, Jan van Doorn

“…The hypokinetic dysarthria observed in Parkinson's disease (PD) affects the range, speed, and accuracy of articulatory gestures in patients, reducing the perceived quality of speech acoustic output in continuous speech. Deep brain stimulation (DBS) of the subthalamic nucleus (STN-DBS) and of the caudal zona incerta (cZi-DBS) are current surgical treatment options for PD. …”
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