Adult limbal neurosphere cells: a potential autologous cell resource for retinal cell generation. by Xiaoli Chen, Heather Thomson, Jessica Cooke, Jennifer Scott, Parwez Hossain, Andrew Lotery

“…Following culture with developing mouse retinal cells, we detected retinal progenitor cell markers, mature retinal/neuronal markers and sensory cilia in the majority of mouse LNS experiments. …”
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General Framework for Domain-Specialization of Stance Detection by Brodie Mather, Bonnie J Dorr, Owen Rambow, Tomek Strzalkowski

“…The notions purpose and function serve as natural constraints on the choice of belief categories during resource building which, in turn, constrains stance detection. …”
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Systematic investigation of photon strength functions with monochromatic γ-ray beams by Gheorghe Ioana, Aumann Thomas, Baumann Martin, van Beek Patrick, Kuchenbrod Philipp, Lalić Nikolina, Scheit Heiko, Symochko Dmytro, Wang Hongwei, Fan Gongtao, Nishio Katsuhisa, Ohtsuki Tsutomu, Suzaki Fumi, Hirose Kentaro, Inagaki Makoto, Ari-izumi Takashi, Garrote Frank L. Bello, Bjørøen Marianne, Eriksen Tomas, Ingeberg Vetle Wegner, Paulsen Wanja, Pedersen Line G., Reaz Fardous, Belyshev Sergey, Stopani Konstantin, Lui Yiu-Wing, Filipescu Dan, Tudora Anabella, Goriely Stephane, Miyamoto Shuji, Utsunomiya Hiroaki

“…Following the main objective of the IAEA Coordinated Research Project on Photonuclear Data and Photon Strength Functions (Code F41032; Duration 2016-2019), new measurements of photoneutron and photofission cross sections in the Giant Dipole Resonance energy region have been performed at the laser Compton-scattering γ-ray source of the NewSUBARU synchrotron radiation facility. …”
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Cellular and physiological functions of SGR family in gravitropic response in higher plants by Yuhan Cho, Yujeong Kim, Hyebi Lee, Sundong Kim, Jaehee Kang, Ulhas S. Kadam, Soon Ju Park, Woo Sik Chung, Jong Chan Hong

“…It sets optimum posture and develops plant architecture to efficiently use resources like water, nutrients, CO2, and gaseous exchange. …”
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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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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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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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Estimating Finite Source Effects in Microlensing Events due to Free-Floating Planets with the Euclid Survey by Lindita Hamolli, Mimoza Hafizi, Francesco De Paolis, Achille A. Nucita

“…We find a significant efficiency for finite source effect detection that turns out to be between 20% and 40% for a FFP power law mass function index in the range [0.9, 1.6]. …”
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Applicability and Design Considerations of Chaotic and Quantum Entropy Sources for Random Number Generation in IoT Devices by Wieslaw Marszalek, Michał Melosik, Mariusz Naumowicz, Przemysław Głowacki

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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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A Study of CO Emission Sources and Their Impacts on the  Respiratory Systems of  Patients in Al-Muthanna Governorate by Farah Ali, Ali Abdulhamza Al -Fanharawi

“…Control areas had no detectable CO (0.00 ppm). Health assessments included blood (WBC, Lym, Neu, Eos), lung function (FVC, FEV, PEF), and immunological markers (IgE).  …”
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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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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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Detection of Abrupt Changes in Runoff in the Weihe River Basin by Yanling Li, Jianxia Chang, Zhiliang Wang, Huiling Li

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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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Mineral Content of Four Mexican Edible Flowers Growing in Natural Conditions and Backyards from Indigenous Communities by Rubí Marcos-Gómez, Araceli M. Vera-Guzmán, Mónica L. Pérez-Ochoa, Laura Martínez-Martínez, Sanjuana Hernández-Delgado, David Martínez-Sánchez, José L. Chávez-Servia

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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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Improved YOLO for long range detection of small drones by Sicheng Zhou, Lei Yang, Huiting Liu, Chongqin Zhou, Jiacheng Liu, Yang Wang, Shuai Zhao, Keyi Wang

“…Abstract The timely and accurate detection of unidentified drones is crucial for public safety. …”
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Municipal secondary-treated effluent data seem to be a suitable source of information for human viral trends by Elsa T. Rodrigues, Joana M. Oliveira, Anália Carmo, Miguel A. Pardal, Ana M. Matos

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Merging Surface Plasmon Optical Detection with Electronic Sensing by Wolfgang Knoll

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