Effect of N,C-ITO on Composite N,C-Ti/N,C-ITO/ITO Electrode Used for Photoelectrochemical Degradation of Aqueous Pollutant with Simultaneous Hydrogen Production by Kee-Rong Wu, Chung-Hsuang Hung, Chung-Wei Yeh, Chien-Chung Wang, Jiing-Kae Wu

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Modeling of winter wheat yield prediction based on solar-induced chlorophyll fluorescence by machine learning methods by Minxue Zheng, Han Hu, Yue Niu, Qiu Shen, Feng Jia, Xiaolei Geng

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Design and development of a wireless sensor network time synchronization system for photovoltaic module monitoring by Xianbo Sun, Yixin Su, Yong Huang, Jianjun Tan, Jinqiao Yi, Tao Hu, Li Zhu

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Chromosome-level genome assembly of a destructive leaf-mining moth Eriocrania semipurpurella alpina by Gui-fang Wang, Jin-wu He, Cheng Sun, Xue-yan Li, Pei-feng Qi, Dan-dan Feng, Cai-qing Yang, Ai-bing Zhang

“…In this study, utilizing Illumina sequencing, PacBio HiFi sequencing, and Hi-C technology, we constructed a chromosome-level genome assembly of E. semipurpurella alpina, representing the first high-quality genome in the Eriocraniidae family. …”
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Modern Imaging Methods in the Diagnosis of Neurodegenerative Diseases by Paulina Dorota Pietrukaniec, Bartosz Omasta, Katarzyna Kamińska-Omasta, Olga Krupa, Daria Rybak, Kuba Borys Romańczuk, Magdalena Agata Czerska, Szymon Przemysław Stolarczyk, Zofia Martyna Wójcik, Kinga Furtak

“…In addition, the prospects for the development of these technologies, including the use of artificial intelligence and new biomarkers in diagnosis, are also discussed. …”
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Differentiation of Endogenous Bone Marrow-Derived Cells into Insulin-Producing Cells Using Four Soluble Factors by Seung-Ah Lee, Subin Kim, Seog-Young Kim, Jong Yoen Park, Hye Seung Jung, Sung Soo Chung, Kyong Soo Park

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Experimental investigation of gas seepage characteristics in coal seams under gas-water-stress function by Zunguo Zhang, Chao Tang, Yi Chen, Yongqiang Chen, Honghu Zhang, Yifu Zhang

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PreZon: Prediction by Zone and Its Application to Egg Productivity in Chickens by Yen-Jen Lin, Ming Li Liou, Wen Chuan Lee, Chuan Yi Tang

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Effects of silkworm pupa protein on apoptosis and energy metabolism in human colon cancer DLD-1 cells by Xiaojiao Ji, Jing Wang, Aijin Ma, Duo Feng, Yue He, Wenjie Yan

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Comprehensive Assessment of the Genotype-Environment Interaction and Yield Stability of Boro Rice Genotypes under Four Environments in Bangladesh Using AMMI Analysis by Shams Shaila Islam, Md. Borhan Uddin Sarker, Md. Masud Rana, Ahmed Khairul Hasan, Md. Rashed Karim, Thanet Khomphet

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Parametric Study Of Friction Stir Spot Welding (FSSW) For Polymer Materials Case Of High Density Polyethylene Sheets: Experimental And Numerical Study by Djilali Benyerou, El Bahri Ould Chikh, Habib Khellafi, Hadj Miloud Meddah, Ali Benhamena, Kaddour Hachelaf, Abdellah Lounis

“…Friction stir spot welding (FSSW) is a new technology adopted to join various types of metals such as titanium, aluminum, magnesium. …”
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Analysis of Refractive Index Sensing Properties of a Hybrid Hollow Cylindrical Tetramer Array by Meng Wang, Paerhatijiang Tuersun, Aibibula Abudula, Lan Jiang, Dibo Xu

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الکترونیک چاپی بر پایه نانولوله‌های کربنی و نانوصفحات گرافن by محسن محمد رائی نایینی, مجتبی جلیلی, زهرا رنجبر

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Fast handover authentication scheme in 5G mobile edge computing scenarios by Weicheng ZHANG, Hongquan WEI, Shuxin LIU, Liming PU

“…The 5G internet of things brings the ultimate experience to users, but it also puts forward new challenges.Users’ requirements of ultra-low latency experience, access to business without sense during movement and security guarantee have attracted much attention.Mobile edge computing can meet the strict requirements of 5G with low latency, large connection and high bandwidth.As a computing paradigm with the coexistence of multi-trust domains, multi-entities and cross-trust domains are interconnected frequently.Identity authentication is particularly important for security protection.Through the research on the identity authentication mechanism under the existing edge computing paradigm, a lightweight fast handover authentication scheme based on pre-authentication was proposed.The proposed solution moved services and calculations from the cloud to the edge.Biometric fingerprint technology was used on the client side to defend against terminal theft attacks.Edge servers in different regions used pre-authentication scheme to meet fast switching requirements.The user and the edge server established a secure channel by negotiating a shared session key in real time, and the authentication scheme ensured lightweight operation with XOR and hash operation.The proposed scheme was evaluated from two aspects of security and performance.Theoretical design analysis and formal tool verification were carried out for security evaluation.The formal analysis tool, AVISPA, was used to verify the improved security of the proposed scheme in the presence of intruders.The performance was mainly evaluated from the computing cost and communication cost of the authentication scheme.The simulation results showed that the proposed scheme reduces communication cost, and the computational overhead can meet the needs of mobile terminals with limited resources.As the future work, the scheme will be improved from two aspects: one is to strengthen the scalability to ensure that users and edge servers can join and exit at any time, and the other one is to strengthen the universality of the scheme to meet the access deployment of third-party service providers.…”
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Adversarial example defense algorithm for MNIST based on image reconstruction by Zhongyuan QIN, Zhaoxiang HE, Tao LI, Liquan CHEN

“…With the popularization of deep learning, more and more attention has been paid to its security issues.The adversarial sample is to add a small disturbance to the original image, which can cause the deep learning model to misclassify the image, which seriously affects the performance of deep learning technology.To address this challenge, the attack form and harm of the existing adversarial samples were analyzed.An adversarial examples defense method based on image reconstruction was proposed to effectively detect adversarial examples.The defense method used MNIST as the test data set.The core idea was image reconstruction, including central variance minimization and image quilting optimization.The central variance minimization was only processed for the central area of the image.The image quilting optimization incorporated the overlapping area into the patch block selection.Considered and took half the size of the patch as the overlap area.Using FGSM, BIM, DeepFool and C＆amp;W attack methods to generate adversarial samples to test the defense performance of the two methods, and compare with the existing three image reconstruction defense methods (cropping and scaling, bit depth compression and JPEG compression).The experimental results show that the central variance minimization and image quilting optimization algorithms proposed have a satisfied defense effect against the attacks of existing common adversarial samples.Image quilting optimization achieves over 75% classification accuracy for samples generated by the four attack algorithms, and the defense effect of minimizing central variance is around 70%.The three image reconstruction algorithms used for comparison have unstable defense effects on different attack algorithms, and the overall classification accuracy rate is less than 60%.The central variance minimization and image quilting optimization proposed achieve the purpose of effectively defending against adversarial samples.The experiments illustrate the defense effect of the proposed defense algorithm in different adversarial sample attack algorithms.The comparison between the reconstruction algorithm and the algorithm shows that the proposed scheme has good defense performance.…”
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A tunable multi-timescale Indium-Gallium-Zinc-Oxide thin-film transistor neuron towards hybrid solutions for spiking neuromorphic applications by Mauricio Velazquez Lopez, Bernabe Linares-Barranco, Jua Lee, Hamidreza Erfanijazi, Alberto Patino-Saucedo, Manolis Sifalakis, Francky Catthoor, Kris Myny

“…The multi-timescale ability of this neuron can be utilized together with silicon to create hybrid spiking neural networks capable of effectively executing more complex tasks than their single-technology counterparts.…”
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Evaluating basic chest pass skills in the 21st century using chest pass automatic board 2.0 by Dzihan Khilmi Ayu Firdausi, Muhammad Eka Mardyansyah Simbolon, Ahmad Muchlisin Natas Pasaribu, Indra Dwisaputra, Diah Retno Arum sari, Catur Pebriandini

“…Objective: The product refines the previous version of the automatic chest pass board by adding a feature for automatic result calculation and utilizing wireless technology. Methodology: This study utilized the research and development approach. …”
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Optimizing and Enhancing Piezoelectric Energy Harvesting Devices by Amri Chaymae, Gaouzi Khawla, Jilbab Abdelilah, el Yousfi Alaoui My Hachem, Azrar Lahcen

“…These results demonstrate the potential to enhance and scale up the system for harvesting and storing energy in batteries through a larger-scale prototype. This technology provides a renewable and unlimited energy source, particularly useful for biomedical sensors with strict energy requirements.…”
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Loadability Analysis of Smart Solid-State Transformer Considering its Interactions Amongst all the Ports by Junru Chen, Yi Zhang, Muyang Liu, Yutian Chen, Rongwu Zhu

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Optogenetic regulation of endogenous gene transcription in mammals by E. S. Omelina, A. V. Pindyurin

“…The factors include zinc finger proteins, transcription activator-like effectors (TALEs), and the CRISPR/Cas9 technology. We also discuss the advantages and disadvantages of these DNA targeting tools in the context of the light-inducible gene regulation systems.…”
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