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Background: Intrauterine growth restriction (IUGR) which is judged based on birth weight and gestational age, is associated with increased neonatal mobility and mortality and also has a further impact on physical and mental health during later in life. Using the birth weight percentile for singletons to assess twins might not accurately reflect the growth status of the twins; this could potentially lead to an incorrect evaluation of growth-restricted children. For a more precise assessment of twin newborns, it is beneficial to utilize twin-specific birth weight percentile curves and ponderal index (PI) curves that consider factors such as birth order and sex.

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Background: Calf muscle weakness is a common symptom in slowly progressive neuromuscular disorders that lead to walking problems like instability and increased walking effort. The mainstay of treatment to improve walking in this population is the provision of ankle-foot-orthoses (AFOs). Since we are not aware of an up-to-date and complete overview of the effects of AFOs used for calf muscle weakness in slowly progressive neuromuscular disorders, we reviewed the evidence for the effectiveness of AFOs to improve walking in this patient group, in order to support clinical decision-making.

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In order to make the drugs can cure the tumor precisely, this paper establishes the tumor immune dynamic model through the differential equation of tumor growth and analyzes the persistence of the tumor immune model. Research on dual anticancer drugs and commonly used coupling methods is carried out to complete the synthesis of polyethylene glycol dual anticancer drug couplers and the antitumor activity is analyzed to derive the degree of inhibition of polyethylene glycol dual anticancer drugs on tumor activity. From the four judging criteria, it was concluded that the polyethylene glycol bis-anti-cancer drug has a better curative effect on tumor cells.

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Inferring causal networks from noisy observations is of vital importance in various fields. Due to the complexity of system modeling, the way in which universal and feasible inference algorithms are studied is a key challenge for network reconstruction. In this study, without any assumptions, we develop a novel model-free framework to uncover only the direct relationships in networked systems from observations of their nonlinear dynamics.

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Objective: To develop a Diagnostic and Statistical Manual of Mental Disorders (DSM-5) eating disorder screener.

Method: Veterans enrolled in VA healthcare (N = 344) completed a survey of screening items and established measures. A validation subset (n = 166) participated in diagnostic interviews to confirm an eating disorder diagnosis.

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