Distinct types of fibrocyte can differentiate from mononuclear cells in the presence and absence of serum. by S John Curnow, Marianne Fairclough, Caroline Schmutz, Steve Kissane, Alastair K O Denniston, Kate Nash, Christopher D Buckley, Janet M Lord, Mike Salmon

“…The differentiation of fibrocytes remains poorly characterised and this has limited understanding of their biology and function. In particular two methods are used to generate fibrocytes in vitro that differ fundamentally by the presence or absence of serum.…”
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Sensing the Cultural Significance with AI for Social Inclusion by Nan Bai

“…This thesis explores the use of AI in a methodological framework to include the contribution of a larger and more diverse group of participants with user-generated data. …”
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Investigating the Impact of Mental Stress on Electrocardiological Signals through the Use of Virtual Reality by Penio Lebamovski, Evgeniya Gospodinova

“…The results show that the application of immersive VR generates higher mental stress levels than non-immersive VR, but in both cases, HRV changes (decreases), but more significantly in immersive VR. …”
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A Historical Approach to the Mirror Neuron System by Palacios-Sánchez, Leonardo, Botía, Inés, Palacios-Espinosa, Ximena

“…The initial enthusiasm manifested with the discovery of MN has been progressively nuanced, giving rise to a functional, neuroscientific perspective that requires more evidence on its therapeutic utility and applicability in areas of knowledge beyond health sciences.…”
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The vascular endothelium as decision maker in lung injury by Diana Klein

“…When the endothelium fails to perform these functions adequately, leading to endothelial dysfunction, pathological conditions are more likely to develop. …”
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Experimental Investigation on Damage Characteristics and Early Warning of Frozen Coal under Uniaxial Compression by Xiang Sun, Bin Liu, Qi Dong, Feng Shi

“…The test results showed that the compressive strength of the frozen coal samples decreased significantly, and the strength of the saturated frozen coal samples was the lowest; more acoustic emissions were generated at the initial loading stage. …”
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The Effect of Lubricant Viscosity Variation on Tooth Friction and Hence on the Energetic Behaviour of Gear Unit by József Polák

“…With this modification, the estimation generated by the mathematical model describing the energetic behavior of the gear unit can be made more accurate.…”
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Tremor and its duration‐amplitude distribution at Popocatépetl volcano, Mexico by R. Arámbula‐Mendoza, C. Valdés‐González, N. Varley, T. A. Reyes‐Pimentel, B. Juárez‐García

“…Abstract The duration‐amplitude distribution was calculated for the tremor observed at Popocatépetl volcano during episodes of activity in 2000 and 2012–2014. An exponential function was used to obtain a good fit for the duration‐amplitude distribution, and the source of volcanic tremor is probably generated by the transportation of magmatic fluids and its coupling with the host rock within the volcanic conduit. …”
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Design of smart agriculture based on big data and Internet of things by Chunling Li, Ben Niu

“…The algorithm in this article can realize the functions of real-time data communication and information processing more efficiently, and has a significant role in promoting agricultural informatization and improving the level of agricultural modernization.…”
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Multipotent Mesenchymal Stem Cell Treatment for Discogenic Low Back Pain and Disc Degeneration by Jeffrey Zeckser, Michael Wolff, Jason Tucker, Josh Goodwin

“…Low back pain with resultant loss of function, decreased productivity, and high economic costs is burdensome for both the individual and the society. …”
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Design of the optimal groundwater quality monitoring network using a genetic algorithm based optimization approach by Somaye Janatrostami, Ali Salahi

“…In this paper, two conflicting objective functions are simultaneously solved. The first objective function is the maximization of the match between the interpolated EC distributions obtained from data of the all available monitoring wells and the wells from the newly generated network. …”
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The relationship between protein-energy wasting and cognitive impairment in patients receiving maintenance hemodialysis by Jun Liu, Jingfang Wan, Kehong Chen, Yani He, Weiwei Zhang, Jiyuan Luo, Dan Li

“…Those combined with PEW were more likely to develop CI, and to suffer from more severe CI. …”
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Rapid mutation of endogenous zebrafish genes using zinc finger nucleases made by Oligomerized Pool ENgineering (OPEN). by Jonathan E Foley, Jing-Ruey J Yeh, Morgan L Maeder, Deepak Reyon, Jeffry D Sander, Randall T Peterson, J Keith Joung

“…<h4>Methodology/principal findings</h4>Here we show that OPEN can also be used to generate ZFNs that function efficiently in zebrafish. …”
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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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PERHITUNGAN NUMERIK RAPAT KEADAAN GRAPHENE BILAYER DENGAN MODEL TIGHT-BINDING MENGGUNAKAN METODE RAMBATAN WAKTU TROTTER-SUZUKI by Wahyu Setiawan

“…The number of atoms (sites) reviewed affects the regularity of the DOS calculation results. The more atoms that are reviewed, the more orderly the DOS calculations will be generated. …”
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Effects of systemic administration of the retinoid Isotretinoin on bone tissue: A narrative literature review by Maria Júlia Bento Martins Parreira, Bruna Trazzi Pagani, Matheus Bento Medeiros Moscatel, Daniela Vieira Buchaim, Carlos Henrique Bertoni Reis, Beatriz Flávia de Moraes Trazzi, Acácio Fuziy, Rogerio Leone Buchaim

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Exploring public sector workforce attitudes toward AI competence and its impact on AI competence self-assessment by Gatis Lāma, Agnese Lastovska

“…Additionally, more than half of the respondents expressed limited trust in AI-generated information, with only seven participants fully trusting AI. …”
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Advances in the study of the role of high-frequency mutant subunits of the SWI/SNF complex in tumors by Jiumei Zhao, Jing Zhu, Yu Tang, Kepu Zheng, Ziwei Li

“…As a catalytic subunit of the SWI/SNF complex, SMARCA4 has ATPase activity that catalyzes the hydrolysis of ATP to produce energy and power the chromatin remodeling complex, which is critical to the function of the SWI/SNF complex. The study data indicate that approximately 25% of cancers have one or more SWI/SNF subunit genetic abnormalities, and at least nine different SWI/SNF subunits have been identified as having repeated mutations multiple times in various cancers, suggesting that mutations affecting SWI/SNF subunits may introduce vulnerabilities to these cancers. …”
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Public security patrol path planning recommendation method based on wolf-pack optimization algorithm using DAF and BRS by Dongxing Wang, Gaomin Zhang, Fangbo Wu, Zhiyang Huang, Yiping Chen

“…Firstly, an optimization objective function regarding the public security patrol path planning (S3P-Function) was abstracted from the actual situation; Moreover, this paper proposed an improved wolf-pack optimization algorithm named DAF-BRS-CWOA using Dynamic-Adjustment-Factor(DAF) and Balanced-Raid-Strategy (BRS), and DAF devoted to adjust the overall wolf-pack running strategy by dynamically adjusting the number of airdropped wolves during the stage of Summon-Raid while BRS with symmetric property was to improve both the algorithm’s global exploration as well as the local development capabilities by increasing the number of checking locations, that means not only checking the reverse position of the current wolf, but also the positions generated according to certain rules between the reverse position of the current wolf and the current optimal wolf during the stage of Summon-Raid; Finally, DAF-BRS-CWOA was adopted to optimize S3P-Function, forming a public security patrol path planning recommendation method based on DAF-BRS-CWOA (S3PRM-DAF-BRS-CWOA). 30 independent numerical experiments were conducted on 20 public classical datasets by DAF-BRS-CWOA compared with GA, PSO, WDX-WPOA. …”
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Large Language Model-Guided SARSA Algorithm for Dynamic Task Scheduling in Cloud Computing by Bhargavi Krishnamurthy, Sajjan G. Shiva

“…Nowadays, more enterprises are rapidly transitioning to cloud computing as it has become an ideal platform to perform the development and deployment of software systems. …”
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