Publications by authors named "Manlu Liu"

Purpose: Metastatic spread of non-small cell lung cancer (NSCLC) to the brain is a commonly occurring and challenging clinical problem, often resulting in patient mortality. Systemic therapies including immunotherapy have modest efficacy in treating brain metastases. Moreover, the local immune environment of brain metastases remains poorly described.

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The cable-driven hyper-redundant manipulator (CDHM), distinguished by its high flexibility and adjustable stiffness, is extensively utilized in confined and obstacle-rich environments such as aerospace and nuclear facilities. This paper introduces a novel CDHM inspired by the trunk of elephants, which changes the arm structure from cylindrical to conical. This alteration diminishes the arm's self-weight, reduces the moment arm of gravity, decreases the volume of the end joint, narrows the stroke of the driving cables, and boosts the maximum joint speed of the manipulator.

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Article Synopsis
  • Understanding social interactions involves reading mental states through non-verbal cues like facial expressions and body language, linking the actions of an actor and the interpretation by an observer.
  • The review discusses an action-observation methodology that separates the analysis of how actions are performed and perceived while exploring their dynamic interaction in social exchanges.
  • Two research lines are examined: one focusing on individual actions and attention inference, and the other on collaborative task performances, with suggestions for extending the methodology to enhance research on social actions.
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Solar panels may suffer from faults, which could yield high temperature and significantly degrade their power generation. To detect faults of solar panels in large photovoltaic plants, drones with infrared cameras have been implemented. Drones may capture a huge number of infrared images.

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Article Synopsis
  • - The study aimed to determine how effective radiomics and machine learning (ML) could be in distinguishing radiation necrosis (RN) from tumor recurrence in patients who had brain metastases treated with stereotactic radiosurgery (SRS).
  • - Researchers analyzed MRI images, extracting 105 radiomic features and found that 27 features from the T1-weighted images were significant in differentiating RN from recurrence, leading to a multivariable analysis with a promising accuracy rate of 76.2%.
  • - The results suggest that using radiomics and ML could improve diagnostic capabilities in this context, but further research is required to confirm these findings across larger and more diverse patient groups.
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Simultaneous localization and mapping (SLAM) algorithms are widely applied in fields such as autonomous driving and target tracking. However, the effect of moving objects on localization and mapping remains a challenge in natural dynamic scenarios. To overcome this challenge, this paper proposes an algorithm for dynamic point cloud detection that fuses laser and visual identification data, the multi-stage moving object identification algorithm (MoTI).

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Eyes are communicative. But what happens when eyes are camouflaged? In the present study, while either wearing sunglasses (that camouflaged the eyes) or clear glasses, participants were presented with sexually provocative and neutral images, which they viewed in the presence of another person who they knew was observing their eyes. Unbeknownst to the participants, however, we also surreptitiously monitored and recorded their eye gaze in both conditions.

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(1) Background: As people pay more attention to health, mobile health applications (mHealth apps) are becoming popular. These apps offer health services that run on mobile devices to help improve users' health behaviors. However, few studies explore what motivates users to continue to use these apps.

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The research of robotic autonomous radioactivity detection or radioactive source search plays an important role in the monitoring and disposal of nuclear safety and biological safety. In this paper, a method for autonomously searching for radioactive sources through mobile robots was proposed. In the method, by using a partially observable Markov decision process (POMDP), the search of autonomous unknown radioactive sources was realized according to a series of radiation information measured by mobile robot.

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The nuclear receptors REV-ERBα and -β link circadian rhythms and metabolism. Like other nuclear receptors, REV-ERB activity can be regulated by ligands, including naturally occurring heme. A putative ligand, SR9009, has been reported to elicit a range of beneficial effects in healthy as well as diseased animal models and cell systems.

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Years of clinical trials have proven the maturity and safety of certain treatments, however, some of these mature treatments may not be highly effective. Several treatments have emerged through technological innovations, but their long-term safety, efficacy, and adverse effects remain unknown. At present, many patients seek information related to their treatments on the Internet, which may impact their attitudes towards different treatments and their trust in physicians.

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Background: The internet has become a major mean for acquiring health information; however, Web-based health information is of mixed quality and may markedly affect patients' health-related behavior and decisions. According to the social information processing theory, patients' trust in their physicians may potentially change due to patients' health-information-seeking behavior. Therefore, it is important to identify the relationship between internet health information and patient compliance from the perspective of trust.

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