New family of multilength multi-wavelength reed-solomon code of OCDMA system by ZHOU Xiu-li 1, MA Jun-xian2, HU Yu1

“…A new class of multilength, constant-weight two-dimensional multi-wavelength reed-solomon （2D MW RS） code with large capacity and good correlation properties was constructed. …”
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Status of GPU capabilities within the Shift Monte Carlo radiation transport code* by Biondo Elliott, Davidson Gregory, Evans Thomas, Hamilton Steven, Johnson Seth, Pandya Tara, Royston Katherine, Salcedo-Pérez José

“…Shift is a general-purpose Monte Carlo (MC) radiation transport code for fission, fusion, and national security applications. …”
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Combinational Circuits Testing Based on Hsiao Codes with Self-Dual Check Functions by Dmitry V. Efanov, Tatiana S. Pogodina, Nazirjan M. Aripov, Sunnatillo T. Boltayev, Asadulla R. Azizov, Elnara K. Ametova, Feruza F. Shakirova

“…These signs indicate that the functions (there are functions that describe check bits) belong to the class of self-dual Boolean functions and also belong to the codewords of Hsiao codes (these are codes with an odd column of weights). …”
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Genome biology of long non-coding RNAs in humans: A virtual karyotype by Alessandro Palma, Giulia Buonaiuto, Monica Ballarino, Pietro Laneve

“…Long non-coding RNAs (lncRNAs) represent a groundbreaking class of RNA molecules that exert regulatory functions with remarkable tissue and cellular specificity. …”
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Finite Local Rings of Length 4 by Sami Alabiad, Alhanouf Ali Alhomaidhi, Nawal A. Alsarori

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Explicit construction of girth-eight QC-LDPC codes and its application in CRT method by Guo-hua ZHANG, Rong SUN, Xin-mei WANG

“…For arbitrary code lengths of the form PL(P≥3L<sup>2</sup>/4+L-1),a new family of (4,L)-regular quasi-cyclic (QC) low-density parity-check (LDPC) codes was proposed explicitly with girth ight.Employing the new code as a component code in the construction method of Chinese remainder theorem (CRT),a novel class of compound QC-LDPC codes was presented with both girth at least eight and very flexible code lengths.Simulation results show that the new compound codes with rate 1/2 and moderate code lengths perform very well over the additive white Gaussian noise (AWGN) channel.…”
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Beam Synthesis with Low-Bit Reflective Coding Metamaterial Antenna: Theoretical and Experimental Results by Qinhao Wu, Yongqiang Cheng, Xiang Li, Hongqiang Wang

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Smell-ML: A Machine Learning Framework for Detecting Rarely Studied Code Smells by Esraa Hamouda, Abeer El-Korany, Soha Makady

“…This paper proposes a novel approach, called Smell-ML, for detecting five rarely studied code smells: Middle Man (MM), Class Data Should Be Private (CDSBP), Inappropriate Intimacy (II), Refused Bequest (RB), and Speculative Generality (SG). …”
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Leveraging an Enhanced CodeBERT-Based Model for Multiclass Software Defect Prediction via Defect Classification by Rida Ghafoor Hussain, Kin-Choong Yow, Marco Gori

“…Comparative analysis against established models such as RoBERTa, Microsoft CodeBERT, and GPT-2 demonstrates that our approach yields significant improvements in prediction performance, with accuracy gains of up to 20% and 7% respectively in binary and multi class experimentation. …”
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Design and analysis of multi-channel MAC scheduling code for mobile ad hoc network by Xi-yang LI, Ping-zhi1 FAN

“…A multi-channel topology-transparent MAC scheduling code was proposed for mobile ad hoc network sup-porting multi-classes of users via polynomials over finite field. …”
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mVulSniffer: a multi-type source code vulnerability sniffer method by Xuejun ZHANG, Fenghe ZHANG, Jiyang GAI, Xiaogang DU, Wenjie ZHOU, Teli CAI, Bo ZHAO

“…Given the problem that the code slice used by existing deep learning-based vulnerability sniffer methods could not comprehensively encompass the subtle characteristics between vulnerability classes, and a single deep learning sniffer model had insufficient ability to learn long context-dependent information between cross-file and cross-function code statements, a multi-type source code vulnerability sniffer method was proposed.Firstly, fine-grained two-level slices containing the types of vulnerabilities were extracted based on the control dependency and data dependency information in program dependency graph.Secondly, the two-level slices were transformed into initial feature vector.Finally, a fusion model of deep learning vulnerability sniffer suitable for two-level slices was constructed to achieve accurate vulnerability detection of multi-type source code.The experimental results on multiple synthetic datasets and two real datasets show that the proposed method outperforms the existing multi-type source code vulnerability sniffer methods.…”
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Code-switching as a linguistic resource in an EFL context at a language center in Mexico by Tatiana Estefanía Galván de la Fuente

“…This study explores code-switching (CS) as an interactional resource by learners in an EFL classroom in a predominantly monolingual context of Mexico could provide university students with a useful resource in language learning. …”
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Honeypot contract detection method for Ethereum based on source code structure and graph attention network by Youwei WANG, Yudong HOU, Lizhou FENG

“…To address the problems of low accuracy and poor generalization of current honeypot contract detection methods, a honeypot contract detection method for Ethereum based on source code structure and graph attention network was proposed.Firstly, in order to extract the structural information of the Solidity source code of the smart contract, the source code was parsed and converted into an XML parsing tree.Then, a set of feature words that could express the structural and content characteristics of the contract was selected, and the contract source code structure graph was constructed.Finally, in order to avoid the impact of dataset imbalance, the concepts of teacher model and student model were introduced based on the ensemble learning theory.Moreover, the graph attention network model was trained from the global and local perspectives, respectively, and the outputs of all models were fused to obtain the final contract detection result.The experiments demonstrate that CSGDetector has higher honeypot detection capability than the existing method KOLSTM, with increments of 1.27% and 7.21% on F₁ measurement in two-class classification and multi-class classification experiments, respectively.When comparing with the existing method XGB, the average recall rate of CSGDetector in the masked honeypot detection experiments for different types of honeypot contracts is improved by 7.57%, which verifies the effectiveness of the method in improving the generalization performance of the algorithm.…”
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Simplified sequence repetition nodes-based fast successive cancellation decoding algorithm for polar code by Rui GUO, Yang LIU

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Mechanical Properties of Composite Materials from Waste Poly(ethylene terephthalate) Reinforced with Glass Fibers and Waste Window Glass by Biruk Gedif Worku, Tessera Alemneh Wubieneh

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BER performance analysis of polar-coded FBMC/OQAM in the presence of AWGN and Nakagami-m fading channel by Tadele A. Abose, Fanuel O. Ayana, Thomas O. Olwal, Yihenew W. Marye

“…It offers several advantages over traditional orthogonal frequency-division multiplexing (OFDM) modulation, including higher spectral efficiency, lower out-of-band emission, and improved robustness to time-frequency selective channels. Polar codes, a new class of error-correcting codes, have received much attention recently due to their ability to achieve the Shannon limit with practical decoding complexity. …”
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Incorporation of Histogram Intersection and Semantic Information into Non-Negative Local Laplacian Sparse Coding for Image Classification by Ying Shi, Yuan Wan, Xinjian Wang, Huanhuan Li

“…Traditional sparse coding has proven to be an effective method for image feature representation in recent years, yielding promising results in image classification. …”
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THE DESIGN AND IMPLEMENTATION OF AN AUTOMATED CNC TYPEWRITER by George-Cristian Ene, Gabriela Bucur

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Question–Answer Methodology for Vulnerable Source Code Review via Prototype-Based Model-Agnostic Meta-Learning by Pablo Corona-Fraga, Aldo Hernandez-Suarez, Gabriel Sanchez-Perez, Linda Karina Toscano-Medina, Hector Perez-Meana, Jose Portillo-Portillo, Jesus Olivares-Mercado, Luis Javier García Villalba

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Blind despreading and deconvolution of asynchronous multiuser direct sequence spread spectrum signals under multipath channels by Liangliang Li, Huaguo Zhang, Songmao Du, Tao Liang, Lin Gao

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