Although parents tended to overestimate their child’s sleep as compared to actigraphy, parents of Hispanic children may be more accurate in some estimates of children’s sleep than parents of non-Hispanic White children. Researchers, clinicians, and parents should be aware of the potential biases in parents’ reports and estimates of their child’s sleep and that the degree of bias could vary across racial/ethnic groups.

Although parents tended to overestimate their child’s sleep as compared to actigraphy, parents of Hispanic children may be more accurate in some estimates of children’s sleep than parents of non-Hispanic White children. Researchers, clinicians, and parents should be aware of the potential biases in parents’ reports and estimates of their child’s sleep and that the degree of bias could vary across racial/ethnic groups.

Considering the increasing trends in multi-generational living arrangements, the current study aimed to test the intergenerational transmission of violence hypothesis in three-generational households. We also examined whether and how living in a three-generation household would moderate the negative effect of childhood maltreatment on adults’ abusive and neglectful parenting behaviors.

We conducted secondary data analysis using data from the Wisconsin Families Study. The study sample included 727 low-income parents of young children, most of whom were African American women with, on average, a high school diploma. We estimated a series of ordinary least squares regression models.

Our findings indicated that parents who reported a history of childhood abuse, neglect, and witnessing domestic violence showed more frequent use of psychological aggression, physical aggression, and neglectful behavior against their children. Living in a three-generation household played a protective role The negative effects of a) a history of childhood abuse on the use of neglectful parenting and b) witnessing domestic violence on the use of psychological aggression were reduced for respondents living in a three-generation household (b = -0.11; b = -0.33, ps < 0.05, respectively).

The risk of the intergenerational transmission of violence may decrease in three-generation households where parents of young children can meet their needs by sharing family resources or easing the burden of childcare. Ipatasertib cost Further research is needed to identify and specify factors and contexts associated with the beneficial effects of multi-generational living arrangements.

The risk of the intergenerational transmission of violence may decrease in three-generation households where parents of young children can meet their needs by sharing family resources or easing the burden of childcare. Further research is needed to identify and specify factors and contexts associated with the beneficial effects of multi-generational living arrangements.The depth of myometrial invasion affects the treatment and prognosis of patients with endometrial cancer (EC), conventionally evaluated using MR imaging (MRI). However, only a few computer-aided diagnosis methods have been reported for identifying deep myometrial invasion (DMI) using MRI. Moreover, these existing methods exhibit relatively unsatisfactory sensitivity and specificity. This study proposes a novel computerized method to facilitate the accurate detection of DMI on MRI. This method requires only the corpus uteri region provided by humans or computers instead of the tumor region. We also propose a geometric feature called LS to describe the irregularity of the tissue structure inside the corpus uteri triggered by EC, which has not been leveraged for the DMI prediction model in other studies. Texture features are extracted and then automatically selected by recursive feature elimination. Utilizing a feature fusion strategy of strong and weak features devised in this study, multiple probabilistic supputer-aided classification based on the proposed method can assist radiologists in accurately identifying DMI on MRI.

Medical toxicology is the clinical specialty that treats the toxic effects of substances, for example, an overdose, a medication error, or a scorpion sting. The volume of toxicological knowledge and research has, as with other medical specialties, outstripped the ability of the individual clinician to entirely master and stay current with it. The application of machine learning/artificial intelligence (ML/AI) techniques to medical toxicology is challenging because initial treatment decisions are often based on a few pieces of textual data and rely heavily on experience and prior knowledge. ML/AI techniques, moreover, often do not represent knowledge in a way that is transparent for the physician, raising barriers to usability. Logic-based systems are more transparent approaches, but often generalize poorly and require expert curation to implement and maintain.

We constructed a probabilistic logic network to model how a toxicologist recognizes a toxidrome, using only physical exam findings. Our approach trng clinical cases. Tak outperforms a decision tree classifier at all levels of difficulty. Our results are a proof-of-concept that, in a restricted domain, probabilistic logic networks can perform medical reasoning comparably to humans.

The software, dubbed Tak, performs comparably to humans on straightforward cases and intermediate difficulty cases, but is outperformed by humans on challenging clinical cases. Tak outperforms a decision tree classifier at all levels of difficulty. Our results are a proof-of-concept that, in a restricted domain, probabilistic logic networks can perform medical reasoning comparably to humans.Dengue, a mosquito-borne disease, has appeared as a major infectious disease globally. The virus requires its proteins to replicate and reproduce in the host cell. The NS3 protease converts the polyprotein to functional proteins with the help of the NS2B cofactor. Thus, NS3 protease is a promising target to develop antiviral inhibitors against the dengue virus. A systematic screening including ADMET properties, molecular docking, molecular dynamics (MD) simulation, binding free energy calculation, and QSAR studies is carried out to predict potent inhibitors against the NS3 protease. From the screening of 40 antiviral phytochemicals, ADMET properties analysis was used to screen out ligands that violate ADME rules and have probable toxicity. Cyanidin 3-Glucoside, Dithymoquinone, and Glabridin were predicted to be potent inhibitors against the NS3 protease according to their binding affinity. These ligands showed several noncovalent interactions, including hydrogen bond, hydrophobic interaction, electrostatic interaction, pi-sulfur interactions.