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| 1 | Multidirectional 3D printed functionally graded modular joint actuated by TCPFL muscles for soft robots显示文摘Highly deformable bodies are essential for numerous types of applications in all sorts of environments. Joint-like structures comprising a ball and socket joint have many degrees of freedom that allow mobility of many biomimetic structures. Recently, soft robots are favored over rigid structures for their highly compliant material, high-deformation properties at low forces, and ability to operate in di fficult environments. However, it is still challenging to fabricate complex designs that satisfy application constraints due to the combined e ffects of material properties, actuation method, and structural geometry on the performance of the soft robot. Therefore, a combination of a rigid joint and a soft body can help achieve modular robots with fully functional body morphology. Yet, the fabrication of soft parts requires extensive molding for complex shapes, which comprises several processes and can be time-consuming. In addition, molded connections between extremely soft materials and hard materials can be critical failing points. In this paper, we present a functionally graded 3D-printed joint-like structure actuated by novel contractile actuators. Functionally graded materials (FGMs) via 3D printing allow for extensive material property enhancement and control which warrant tunable functionalities of the system. The 3D-printed structure is made of 3 rigid ball and socket joints connected in series and actuated by integrating twisted and coiled polymer fishing line ( TCPFL) actuators, which are con fined in the FGM accordion-shaped channels. The implementation of the untethered T CPFL actuation system can be highly bene ficial for deployment in environments that require low vibrations and silent actuation. The fishing line TCP actuators produce an actuation strain up to 40% and bend the joint up to 40° in any direction. The T CPFL can be actuated individually or as a group to control the bending trajectory of the modular joint, which is bene ficial when deployed in areas that contain small crevices. Obtaining complex modes of bending, the FGM multidirectional joint demonstrated a great potential to achieve di fferent functionalities such as crawling, rolling, swimming, or underwater exploration. | Armita Hamidi Yara Almubarak Yonas Tadesse | 2019 | Bio-Design and Manufacturing2019，2，4： | 3 |
| 2 | Evaluation of preventable trauma death in emergency department of Imam Reza hospital显示文摘BACKGROUND: Trauma is considered as a worldwide problem despite socio-economic development. Motor vehicle accidents(MVAs) are the most important cause of trauma. Trauma related deaths are mostly preventable. This study aimed to investigate the causes and prevention of death in trauma patients.METHODS: This retrospective, descriptive-analytic study assessed 100 trauma patients referred to our emergency department(ED) from January 2013 to Januanry 2015. The included patients were those with trauma died after arrival at our ED. Age, sex, cause of trauma, clinical causes of death, causes of death def ined by autopsy, way of transfer to the ED, time of ambulance arrival at the scene of trauma, and time elapsed to enter the ED from the scene of trauma were studied.RESULTS: In the 100 patients, 21(21%) patients were female and 79(79%) male. Fortythree patients were older than 60 years. Trauma was largely due to pedestrian accidents in 31% of the patients, and 33% had a hypo-volemic shock. About 80% of deaths were due to intra-cranial hemorrhage(ICH) or intra-ventricular hemorrhage(IVH), and spinal injuries were not preventable. Autopsy revealed that 28% of the patients suffered from internal injuries. Autopsy revealed that 19% of the deaths were not preventable and 81% were considered preventable. In our patients, 76 were transferred to the hospital by emergency medicine services(EMS). Analysis of time for ambulance arrival to the scene and frequency of death revealed that 52.2% of the deaths occurred between 11 and 15 minutes. Analysis of time for admission to the ED from the scene of trauma showed that 74.6% deaths occurred between 6 and 10 minutes.CONCLUSIONS: The rate of hospital preventable deaths is about 80%, a high mortality rate, which denotes a lack of proper diagnosis and treatment. The time for arrival of EMS at the scene of trauma is longer than that in other countries. | Changiz Gholipour Bahram Samadi Rad Samad Shams Vahdati Amir Ghaffarzad Armita Masoud | 2016 | World Journal of Emergency Medicine2016，7，2： | 2 |
| 3 | Application of symbolic computer algebra in high-level data-flow synthesis 显示文摘 | Peymandoust Armita Micheli Giovanni De | 2003 | IEEE Transaction on Computer-Aided Design of Integrated Circuits and Systems2003，22，9： | 1 |
| 4 | Microwave Synthesis, Photoluminescence, and Photocatalytic Activity of PVA-Functionalized Eu^3+-Doped BiOX ( X = CI, Br, 1) Nanoflakes 显示文摘 | Armita D Shyam S Venkata N | 2014 | Langmuir2014，30，5： | 1 |
| 5 | Energy,exer- gy and exergoeconomic analysis of a steam power plant:a aase study 显示文摘 | MOHAMMAD Ameri POURIA Ahmadi ARMITA Hamidi | 2009 | International Journat of Energy Research2009，33，5： | 1 |
| 6 | Targeting Oxidative Stress in Embryonal Rhabdomyosarcoma显示文摘 | Xiang Chen Elizabeth Stewart Anang A. Shelat Chunxu Qu Armita Bahrami Mark Hatley Gang Wu Cori Bradley Justina McEvoy Alberto Pappo Sheri Spunt Marcus B. Valentine Virginia Valentine Fred Krafcik Walter H. Lang Monika Wierdl Lyudmila Tsurkan Viktor Tollem | 2013 | Cancer Cell2013，，6： | 1 |
| 7 | An analysis of PLAG1 and HMGA2 rearrangements in salivary duct carcinoma and examination of the role of precursor lesions显示文摘 | Armita Bahrami Bayardo Perez‐Ordonez James D Dalton Ilan Weinreb | 2013 | Histopathology2013，，2： | 1 |
| 8 | Optimal monitoring and attack detection of networks modeled by Bayesian attack graphs显示文摘Early attack detection is essential to ensure the security of complex networks,especially those in critical infrastructures.This is particularly crucial in networks with multi-stage attacks,where multiple nodes are connected to external sources,through which attacks could enter and quickly spread to other network elements.Bayesian attack graphs(BAGs)are powerful models for security risk assessment and mitigation in complex networks,which provide the probabilistic model of attackers’behavior and attack progression in the network.Most attack detection techniques developed for BAGs rely on the assumption that network compromises will be detected through routine monitoring,which is unrealistic given the ever-growing complexity of threats.This paper derives the optimal minimum mean square error(MMSE)attack detection and monitoring policy for the most general form of BAGs.By exploiting the structure of BAGs and their partial and imperfect monitoring capacity,the proposed detection policy achieves the MMSE optimality possible only for linear-Gaussian state space models using Kalman filtering.An adaptive resource monitoring policy is also introduced for monitoring nodes if the expected predictive error exceeds a user-defined value.Exact and efficient matrix-form computations of the proposed policies are provided,and their high performance is demonstrated in terms of the accuracy of attack detection and the most efficient use of available resources using synthetic Bayesian attack graphs with different topologies. | Armita Kazeminajafabadi Mahdi Imani | 2024 | Cybersecurity2024，7，1： | 0 |
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