Eosinophilic Fasciitis: A Review of Research and Therapeutic Possibilities by Julia Biernikiewicz, Anna Wilewska, Bartosz Pomirski, Agata Pomirska, Milena Biernikiewicz, Konstanty Alabrudziński, Agnieszka Borowiec, Kinga Borowiec, Paulina Kwaśniewska, Patryk Graczyk

“…Diagnosis often involves biopsies, lab analyses, and imaging techniques. Current treatment mainly consists of corticosteroids, but further research is needed to assess various therapeutic strategies. …”
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Time series forecasting of infant mortality rate in India using Bayesian ARIMA models by Anuj Singh, Tripti Tripathi, Rakesh Ranjan, Abhay K. Tiwari

“…A Random Walk Metropolis algorithm has been used to deal with analytically intractable posterior results from the ARIMA model. …”
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Crack Detection Method of Sleeper Based on Cascade Convolutional Neural Network by Liming Li, Shubin Zheng, Chenxi Wang, Shuguang Zhao, Xiaodong Chai, Lele Peng, Qianqian Tong, Ji Wang

“…This work presents a new method for sleeper crack identification based on cascade convolutional neural network (CNN) to address the problem of low efficiency and poor accuracy in the traditional detection method of sleeper crack identification. The proposed algorithm mainly includes improved You Only Look Once version 3 (YOLOv3) and the crack recognition network, where the crack recognition network includes two modules, the crack encoder-decoder network (CEDNet) and the crack residual refinement network (CRRNet). …”
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Node-Based Steady-State and Dynamic Gas Grid Calculation Method With Electrical Analogies by Daniela Vorwerk, Detlef Schulz

“…While the steady-state electric equivalent circuit diagram of a gas pipeline mainly consists of an ohmic resistance, the transient flow characteristics also show inductive and capacitive behavior. …”
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Node Classification Method Based on Hierarchical Hypergraph Neural Network by Feng Xu, Wanyue Xiong, Zizhu Fan, Licheng Sun

“…The HCHG combines the high-order relationship-capturing capability of hypergraphs, uses the Louvain community detection algorithm to identify community structures within the network, and constructs hypergraphs layer by layer. …”
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ML‐UrineQuant: A machine learning program for identifying and quantifying mouse urine on absorbent paper by Warren G. Hill, Bryce MacIver, Gary A. Churchill, Mariana G. DeOliveira, Mark L. Zeidel, Marcelo Cicconet

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A Recognition Method for Adzuki Bean Rust Disease Based on Spectral Processing and Deep Learning Model by Longwei Li, Jiao Yang, Haiou Guan

“…Second, the competitive adaptive reweighted sampling (CARS) algorithm was implemented in the range of 425–825 nm to determine the optimal characteristic wavenumbers, thereby reducing data redundancy. …”
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Temporal-spatial change characteristics of sunshine duration in Tibet based on spatial interpolation technique and its influence factors by YU Haijing, CHEN Tingfu, ZHANG Qingguo, ZHANG Ning, DONG Shijie, CHENG Mengdi

“…Results showed that the interpolation algorithm of Kriging spherical model could simulate Tibet sunshine duration quite well. …”
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Key technologies and equipment for intelligent sensor network by optical media by Qiang GAO, Wenzhuo LI, Daiyong ZHOU

“…At present, coal mine sensor network mainly adopts industrial Ethernet + fieldbus technology, which has the characteristics of differential signal transmission, collection polling and convenient application, but there are problems such as insufficient anti-interference ability, contradictory communication speed and distance, and difficult communication between nodes. …”
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Hard-coded backdoor detection method based on semantic conflict by Anxiang HU, Da XIAO, Shichen GUO, Shengli LIU

“…The current router security issues focus on the mining and utilization of memory-type vulnerabilities, but there is low interest in detecting backdoors.Hard-coded backdoor is one of the most common backdoors, which is simple and convenient to set up and can be implemented with only a small amount of code.However, it is difficult to be discovered and often causes serious safety hazard and economic loss.The triggering process of hard-coded backdoor is inseparable from string comparison functions.Therefore, the detection of hard-coded backdoors relies on string comparison functions, which are mainly divided into static analysis method and symbolic execution method.The former has a high degree of automation, but has a high false positive rate and poor detection results.The latter has a high accuracy rate, but cannot automate large-scale detection of firmware, and faces the problem of path explosion or even unable to constrain solution.Aiming at the above problems, a hard-coded backdoor detection algorithm based on string text semantic conflict (Stect) was proposed since static analysis and the think of stain analysis.Stect started from the commonly used string comparison functions, combined with the characteristics of MIPS and ARM architectures, and extracted a set of paths with the same start and end nodes using function call relationships, control flow graphs, and branching selection dependent strings.If the strings in the successfully verified set of paths have semantic conflict, it means that there is a hard-coded backdoor in the router firmware.In order to evaluate the detection effect of Stect, 1 074 collected device images were tested and compared with other backdoor detection methods.Experimental results show that Stect has a better detection effect compared with existing backdoor detection methods including Costin and Stringer: 8 hard-coded backdoor images detected from image data set, and the recall rate reached 88.89%.…”
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Quantitative evaluation and obstacle factor diagnosis of drug regulatory capacity in China. by Mingming Zhai, Liwen Huang, Shijie Sun, Liying Cao, Xueqiong Yue, Yuanxia Hu

“…From the perspective of obstacle factors, they were mainly in the aspects of learning development and functional performance. …”
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DRR-YOLO: A Study of Small Target Multi-Modal Defect Detection for Multiple Types of Insulators Based on Large Convolution Kernel by Mingming Hu, Jun Liu, Junfu Liu

“…The existing insulator defect detection algorithms are mainly characterized by their ability to identify only a single type of defect, accompanied by relatively low accuracy, a Dilated Re-parameterized Residual-YOLO (DRR-YOLO) algorithm is proposed, which is capable of identifying four defects of each of the four insulator types. …”
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Advanced parameter extraction optimization technique for the four-diode model approach by Bhanu Prakash Saripalli, Bharati Gamgula, Revathi Ravilisetty, Prashant Kumar, Gagan Singh, Sonika Singh

“…However, these models mainly focus on the fundamental mechanism of diffusion and Shockley-Read-Hall recombination. …”
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A Simplified Method of Flexible Conductors Mechanic Calculation in Switchgears without Restrictions on the Number of Taps by Yu. V. Bladyko, E. G. Ponomarenko, P. I. Klimkovich

“…Concentrated loads are created by such elements as taps to electrical devices, phase-to-phase insulating spacers, barrier balls, loops, etc. Concentrated loads mainly act in the vertical plane, and in the case of taps, they can have an almost arbitrary spatial direction. …”
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Landslide inventory of the 2023 Serra do Mar disaster (Brazil) by José Eduardo Bonini, Tiago Damas Martins, Marina Tamaki de Oliveira Sugiyama, Bianca Carvalho Vieira

“…Landslides were triggered mainly on slopes with angle from 27º to 30º and topographic wetness index between 3.5 and 5.5. …”
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Topic modeling analysis of the Allen Human Brain Atlas by Letizia Pizzini, Filippo Valle, Matteo Osella, Michele Caselle

“…We use as a laboratory to test our algorithm a dataset obtained from six independent human brains from the Allen Human Brain Atlas. …”
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Modeling vector control of the asynchronous drive of electric rolling stock auxiliary machines by Yu. M. Kulinich, S. A. Shukharev, V. K. Dukhovnikov, A. V. Gulyaev

“…The developed complex of an asynchronous motor and a vector control system enable to work out various algorithms for improving the energy efficiency of the operation of asynchronous auxiliary machines of an electric locomotive by applying the proposed algorithm for choosing the optimal value of the rotor flux linkage. …”
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Organization of walking of the lower-extremity exoskeleton using the control of the supporting foot by Zh. N. Issabekov, I. K. Tsybrii, K. A. Moroz

“…The demand for robots increases the share of their use in production tasks, mainly in the motor-vehicle and electronics industries. …”
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Fine-Scale Variations and Driving Factors of GPP Derived from Multi-Source Data Fusion in the Mountainous Region of Northwestern Hubei by Dicheng Bai, Yuchen Wang, Yongming Ma, Huanhuan Li, Xiaobin Guan

“…Precipitation and temperature correlations show opposing variations in different months and elevations, which can be mainly attributed to the varied climatic conditions in the different elevations.…”
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A New Surface Waters Downscaling Approach Applicable at Global Scale by Thu-Hang Nguyen, Filipe Aires

“…By using this updated FI, the new downscaling became a true data-fusion with permanent water databases originating mainly from visible observations. (2) Some discontinuities between low resolution cells have been reduced thanks to a new smoothing algorithm. (3) Finally, a coastal extrapolation scheme has been presented to deal with coarse resolution data contaminated by the ocean. …”
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