In Vivo Bioluminescence Imaging of Transplanted Mesenchymal Stem Cells as a Potential Source for Pancreatic Regeneration by Song Lee, Hyewon Youn, Taemoon Chung, Do Won Hwang, So Won Oh, Keon Wook Kang, June-Key Chung, Dong Soo Lee

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Effect of Alkali Source on Crystal Regulation and Ethanol Gas Sensing Properties of Nano-ZnO by Yinying Liao, Lu Qiu, Yunfei Ouyang, Dayang Feng, Shiyi Huang, Zhaoyang Zhang, Xinyao Xie, Junwei Ke, Tianhao Liu, Xiangxiang Chen, Hongshan Bi, Weiran Zuo

“…To elucidate the underlying mechanisms, density functional theory (DFT) calculations combined with electron depletion layer theory were applied to assess charge transfer processes and identify the most sensitive ZnO crystal planes for ethanol detection. …”
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Forest age estimation using UAV-LiDAR and Sentinel-2 data with machine learning algorithms- a case study of Masson pine (Pinus massoniana) by Jinjin Chen, Xuejian Li, Zihao Huang, Jie Xuan, Chao Chen, Mengchen Hu, Cheng Tan, Yongxia Zhou, Yinyin Zhao, Jiacong Yu, Lei Huang, Meixuan Song, Huaqiang Du

“…Therefore, monitoring forest age is a crucial element of forest resource surveys. With the increased availability of high-quality open-access satellite data and advancements in Unmanned Aerial Vehicle Light Detection and Ranging (UAV-LiDAR) technology, remote sensing has emerged as an essential method for acquiring accurate forest age information. …”
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Distributed Decision Making for Electromagnetic Radiation Source Localization Using Multi-Agent Deep Reinforcement Learning by Jiteng Chen, Zehui Zhang, Dan Fan, Chaoqun Hou, Yue Zhang, Teng Hou, Xiangni Zou, Jun Zhao

“…The detection and localization of radiation sources in urban areas present significant challenges in electromagnetic spectrum operations, particularly with the proliferation of small UAVs. …”
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Lineage tracing studies suggest that the placenta is not a de novo source of hematopoietic stem cells. by Xiaowen Chen, Joanna Tober, Martin Dominguez, Alan T Tang, Jenna Bockman, Jisheng Yang, Sneha Mani, Chin Nien Lee, Mei Chen, Triloshan Thillaikumaran, Patricia Mericko-Ishizuka, Monica Mainigi, Nancy A Speck, Mark L Kahn

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Grape Seed Powders as a Source of Phenolic Compounds: UHPLC Orbitrap MS4 Characterization by Danijel D. Milinčić, Uroš Gašić, Aleksandar Ž. Kostić, Slađana P. Stanojević, Živoslav Lj. Tešić, Mirjana B. Pešić

“…Grape seeds represent a rich source of phenolic compounds that exhibit various health benefits. …”
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A TWO-YEAR FOLLOW-UP OF A FEMALE PATIENT WITH RECURRENT PULMONARY THROMBOEMBOLISM AFTER SUCCESSFUL COMBINED TREATMENT by I. A. Baranova, M. V. Zaikina, L. Yu. Sokolova, L. G. Tokareva, G. O. Ivanova, S. A. Biryukov, E. V. Filippov

“…Objective: to describe a clinical case of recurrent pulmonary thromboembolism (PTE) with developed chronic thromboembolic pulmonary hypertension (CTEPH) and successful stenting of the pulmonary artery branch after ineffective thrombolysis. …”
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Change Detection Network Based on Transformer and Transfer Learning by Hua Li, Jingyu Li, Guanghao Luo, Liang Zhou, Hao Wu, Zhangcai Yin

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Correction: Yu et al. Nitrogen Doped Porous Biochar/β-CD-MOFs Heterostructures: Bi-Functional Material for Highly Sensitive Electrochemical Detection and Removal of Acetaminophen.... by Qi Yu, Jin Zou, Chenxiao Yu, Guanwei Peng, Guorong Fan, Linyu Wang, Shangxing Chen, Limin Lu, Zongde Wang

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Sustainable Materials Enabled Terahertz Functional Devices by Baoning Wang, Haolan Wang, Ying Bao, Waqas Ahmad, Wenhui Geng, Yibin Ying, Wendao Xu

“…Highlights Sources and types of sustainable materials and their advantages in fabricating high performance terahertz (THz) functional devices are systematically reviewed. …”
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Deep learning-enhanced signal detection for communication systems. by Yang Liu, Peng Liu, Yu Shi, Xue Hao

“…In resource consumption assessment, the detection speed of this model reached 120 signals/s, with an average latency of 50 ms. …”
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Surgical Indications for Proximal Limb Amputations in a Resource-limited Setting: A Single Institution’s Experience by Ja’Neil Grace-Marie Humphrey, Joseph Nthumba, Puja Jagasia, Peter M. Nthumba

“…In particular, proximal limb amputations (PLAs) impose enormous functional and social challenges on patients and their families, as they leave minimal options for functional prostheses, especially in the low-resource settings. …”
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Lightweight wavelet-CNN tea leaf disease detection. by Jing Yang, GaoJian Xu, MengDao Yang, ZhengPei Lin

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XFP-recognizer: detecting cross-file browser fingerprinting by Xiaoxi Wang, Zhenxu Liu, Chunyang Zheng, Xinyu Liu, Wei Liu, Yuling Liu, Qixu Liu

“…XFP-Recognizer complements existing detection methods, and the constructed split dataset also serves as a foundational resource for future research.…”
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Lightweight UAV Detection Method Based on IASL-YOLO by Huaiyu Yang, Bo Liang, Song Feng, Ji Jiang, Ao Fang, Chunyun Li

“…The widespread application of drone technology has raised security concerns, as unauthorized drones can lead to illegal intrusions and privacy breaches. Traditional detection methods often fall short in balancing performance and lightweight design, making them unsuitable for resource-constrained scenarios. …”
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STATISTICAL PROCESSING OF RESULTS OF TESTING OF STUDENTS by Yulia V. Gumennikova, Elena N. Ryabinova, Ruzilya N. Chernitsina

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Electrochemical microfluidic biosensor for the detection of CD4+ T cells by Katarzyna Białas, Hui Min Tay, Chayakorn Petchakup, Razieh Salimian, Stephen G. Ward, Mark A. Lindsay, Han Wei Hou, Pedro Estrela

“…This work presents an innovative electrochemical microfluidic device that, with further development, could be applied for HIV management in low resource settings. The setup integrates an electrochemical sensor within a PDMS microfluidic structure, allowing for on-chip electrode functionalization and cell detection. …”
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A Review of Anomaly Detection in Spacecraft Telemetry Data by Asma Fejjari, Alexis Delavault, Robert Camilleri, Gianluca Valentino

“…Therefore, the timely detection and subsequent notification of any abnormal events related to the functionality of spacecraft subsystems are crucial to ensure their safe operation. …”
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Quantum Computing in Community Detection for Anti-Fraud Applications by Yanbo (Justin) Wang, Xuan Yang, Chao Ju, Yue Zhang, Jun Zhang, Qi Xu, Yiduo Wang, Xinkai Gao, Xiaofeng Cao, Yin Ma, Jie Wu

“…This paper introduces a novel fraud detection method that utilizes quantum computing to implement community detection in transaction networks. …”
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Hardcoded vulnerability detection approach for IoT device firmware by Chao MU, Xin WANG, Ming YANG, Heng ZHANG, Zhenya CHEN, Xiaoming WU

“…With the popularization of IoT devices, more and more valuable data is generated.Analyzing and mining big data based on IoT devices has become a hot topic in the academic and industrial circles in recent years.However, due to the lack of necessary detection and protection methods, many IoT devices have serious information security risks.In particular, device hard-coded information is closely related to system encryption and decryption, identity authentication and other functions, which can provide confidentiality protection for core data.Once this information is exploited by malicious attackers, serious consequences such as sensitive information leakage, backdoor attacks, and unauthorized logins will occur.In response to this problem, a multi-type character recognition and positioning scheme was designed and a hard-coded vulnerability detection method in executable files was proposed based on the study of the characteristics of hard-coded vulnerabilities in IoT devices.The proposed method extracted the firmware of IoT devices and filtered all executable files as the source to be analyzed.Then, a solution to identify and locate three types of hard-coded characters was provided.Further, the reachability of the function, where the hard-coded character was located, was analyzed according to the function call relationship.Meanwhile, the instruction heterogeneity was mitigated by an intermediate representation (IR) model.The character and parameter hard-coded values was obtained through a data flow analysis approach.A symbolic execution method was devised to determine the trigger conditions of the hard-coded vulnerabilities, and then the vulnerability detection result was output.On the one hand, the proposed method introduced the method of symbolic execution based on the use of the intermediate representation model, which eliminated the dependency of instruction architecture and reduces the false positive rate of vulnerabilities; On the other hand, this method can integrate characters, files, and cryptographic implementation to realize the different characteristics of three types of hard-coded characters, which increased the coverage of vulnerability detection and improves the versatility of the detection method.The experimental results show that the proposed method can effectively detect three types of hard-coded vulnerabilities of characters, files and cryptographic implementation in various IoT devices, and has good detection accuracy, which can provide certain guidance for the deployment of subsequent security protection technologies.…”
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