Improving Problem Solving Skills of High School Students Through The Implementation of Digital Module by Putera Islamiyadi Rahmatullah, Muhammad Akhyar, Agus Efendi

“… This study aimed to evaluate the effectiveness of digital modules in enhancing high school students’ problem-solving skills in programming education. …”
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Bromodomain and Extra-Terminal Family Proteins BRD2, BRD3, and BRD4 Contribute to H19-Dependent Transcriptional Regulation of Cell Adhesion Molecules, Modulating Metastatic Dissemi... by Valeria Pecci, Melissa Borsa, Aurora Aiello, Sara De Martino, Luca Cis, Cristian Ripoli, Dante Rotili, Francesco Pierconti, Francesco Pinto, Claudio Grassi, Carlo Gaetano, Antonella Farsetti, Simona Nanni

“…Currently, the major effects of BET inhibitors require androgen receptor (AR) expression. …”
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NeuBridge: bridging quantized activations and spiking neurons for ANN-SNN conversion by Yuchen Yang, Jingcheng Liu, Chengting Yu, Chengyi Yang, Gaoang Wang, Aili Wang

“…NeuBridge addresses the errors by employing a decode–encode neuron and adaptive temporal coding, effectively bridging the performance gap between ANNs and SNNs. …”
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Flow Allocation Algorithm Based on Potential Game in Multi-Source Multi-Hop Wireless Sensor Network by Wei Zhang, Linghua Zhang

“…The scheme adjusts the traffic based on the utility function to increase the number of coding opportunities. The theoretical analysis and simulation results show that the proposed scheme is stable and effective.…”
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Noise immunity of radio and mobile communications by K.M. Makhanov, K.T. Ermaganbetov, L.V. Chirkova, A.O. Kasimov, M.A. Maukebayeva, E.T. Arinova, K.M. Turdybekova

“…Application of noise immunity coding has been recorded most effectively at a data transfer rate (up to 3 dB). …”
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Optimal design of anti‐interrupted sampling repeater jamming waveform for missile‐borne radar based on an improved genetic algorithm by Fei Cao, Zi‐han Chen, Xiao‐wei Feng, Chuan He, Jian‐feng Xu

“…The waveform diversity property requires that the waveform group has excellent orthogonality (good auto‐ and cross‐correlation properties), which is an effective waveform optimisation design method for missile‐borne radar electronic counter‐countermeasures. …”
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Functions and mechanisms of lncRNAs in immune escape and their application in immunotherapy for colorectal cancer by Dechun Zhang, Shaoxuan Pei, Zixuan Feng, Guangfeng Xia

“…Our aim is to provide fresh insights into the potential of targeting lncRNAs to enhance the effectiveness of immunotherapeutic strategies in CRC.…”
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LncRNA AP001007 protects human renal tubular epithelial HK-2 cells and kidney organoids from LPS-induced injury by Sheng Lin, Zuxiu Ren, Lili Li, Suqin Xia, Rongrong Yang, Hong Ye

“…Abstract The regulation of long non-coding RNAs (lncRNAs) has been implicated in the pathogenesis of sepsis-induced acute kidney injury (SI-AKI). …”
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Wireless key generation system for internet of vehicles based on deep learning by Han WANG, Liquan CHEN, Zhongmin WANG, Tianyu LU

“…In recent years, the widespread application of internet of vehicles technology has garnered attention due to its complex nature and point-to-point communication characteristics.Critical and sensitive vehicle information is transmitted between different devices in internet of vehicles, necessitating the establishment of secure and reliable lightweight keys for encryption and decryption purposes in order to ensure communication security.Traditional key generation schemes have limitations in terms of flexibility and expandability within the vehicle network.A popular alternative is the physical layer key generation technology based on wireless channels, which offers lightweight characteristics and a theoretical basis of security in information theory.However, in the context of internet of vehicles, the movement speed of devices impacts the autocorrelation of generated keys, requiring improvements to traditional channel modeling methods.Additionally, the randomness and consistency of generated wireless keys are of higher importance in applications in internet of vehicles.This research focused on a key generation system based on the wireless physical layer, conducting channel modeling based on line-of-sight and multipath fading effects to reflect the impact of vehicle speed on autocorrelation.To enhance the randomness of key generation, a differential quantization method based on cumulative distribution function was proposed.Furthermore, an information reconciliation scheme based on neural network auto-encoder was introduced to achieve a dynamic balance between reliability and confidentiality.Compared to the implementation of Slepian-Wolf low-density parity-check codes, the proposed method reduces the bit disagreement rate by approximately 30%.…”
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Identity-based linear homomorphic signature for a restricted combiners’ group for e-commerce by Yuan Tian, Weitao Song, Tanping Zhou, Bin Hu, Xuan Zhou, Yujie Ding, Weidong Zhong, Xiaoyuan Yang

“…As the volume of electronic transaction data increases and the demand for real-time processing grows, network coding techniques have become popular for improving performance. …”
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Sensitivity of Spiking Neural Networks Due to Input Perturbation by Haoran Zhu, Xiaoqin Zeng, Yang Zou, Jinfeng Zhou

“…<b>Background:</b> To investigate the behavior of spiking neural networks (SNNs), the sensitivity of input perturbation serves as an effective metric for assessing the influence on the network output. …”
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Curcumin and neuroplasticity: epigenetic mechanisms underlying cognitive enhancement in aging and neurodegenerative disorders by Hao Jiao, Xiuying Wang, Dahui Zhang, Shengxue Zhou, Feng Gao

“…We also discuss the therapeutic implications of curcumin as a potential epigenetic modulator and neurogenic agent, emphasizing its synergistic effects with lifestyle interventions such as physical activity and dietary strategies. …”
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Importance-Aware Resource Allocations for MIMO Semantic Communication by Yue Cao, Youlong Wu, Lixiang Lian, Meixia Tao

“…This study proposes a separate source-channel coding (SSCC) framework to address semantic communication challenges in MIMO systems, overcoming the limitations of joint source-channel coding (JSCC) in channel adaptation and model reusability. …”
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Biofluid-Derived Exosomal LncRNAs: Their Potential in Obesity and Related Comorbidities by Ebenezeri Erasto Ngowi, Tuyan Lu, Qing Liu, Xianghong Xie, Ning Wang, Liping Luo, Lijuan Deng, Yinghua Zhou, Zhihong Zhang, Aijun Qiao

“…While substantial research efforts have enriched our understanding and led to the development of innovative management strategies for these diseases, the suboptimal response rates of existing therapies remain a major obstacle to effectively managing obesity and its associated conditions. …”
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Circulating PIWI-interacting RNAs in Acute Ischemic Stroke patients by Salman M. Toor, Eman K. Aldous, Aijaz Parray, Naveed Akhtar, Yasser Al-Sarraj, Abdelilah Arredouani, Ghulam Jeelani Pir, Sajitha V. Pananchikkal, Omar El-Agnaf, Ashfaq Shuaib, Nehad M. Alajez, Omar M.E. Albagha

“…Stroke is often preceded by an episode of neuronal deficit termed transient ischemic attack (TIA), which presents an effective opportunity for mitigating the risk of an eminent acute ischemic stroke (AIS). …”
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The algorithm and implementation of an extension to LLVM for solving the blocking between instruction sink and division-modulo combine by YungYu Zhuang, Ting-Wei Lin, Yin-Jung Huang

“…Compiler optimization presents a formidable challenge, seeking to enhance code quality through various techniques. One significant obstacle is the phase-ordering problem, where the sequence of optimization algorithms can impact code quality and potentially lead to performance deterioration. …”
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Analysis and evaluation of secondary photons originated in jaws as contamination particles at the phantom surface by Mohamed Bencheikh, Abdelmajid Maghnouj, Jaouad Tajmouati

“…This work was performed by using the BEAMnrc Monte Carlo and BEAMDP codes. The jaws are a potential source of secondary photons nearest to the phantom. …”
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Microhooks: A Novel Framework to Streamline the Development of Microservices by Omar Iraqi, Mohamed El Kadiri El Hassani, Anass Zouine

“…Microhooks evaluation against state-of-the-art practices has demonstrated its effectiveness in drastically reducing code size and complexity, without incurring any considerable cost on performance. …”
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Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea by Na Hyeon Yu, Daeun Shin, Ik Hee Ryu, Tae Keun Yoo, Kyungmin Koh

“…Conclusion This study demonstrates the feasibility of developing an accessible, cost-effective RVO risk prediction tool using health check-up data and no-code machine learning platforms. …”
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MFH-LPI: based on multi-view similarity networks fusion and hypergraph learning for long non-coding RNA-protein interactions prediction by Zengwei Xing, Shaoyou Yu, Shuzu Liao, Peng Wang, Bo Liao

“…We conduct several experiments on three datasets to validate the method’s effectiveness. The experimental findings indicate that the suggested model is effective compared to existing processes and outperforms other approaches.…”
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