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Molecular docking study along with X-ray photoelectron spectroscopy inferred electrostatic interaction and hydrogen bonding as main mechanism of MF removal. IA/nK demonstrated dose-reliant inhibition of both gram-positive and gram-negative bacterial strains. IA/nK demonstrated good regeneration properties, up to four cycles without considerable decrease in its efficacy. The admirable sorption capacity coupled with good reusability, and low toxicity substantiates IA/nK as promising adsorbent for MF confiscation.An ethnobotanical survey was conducted among herbalists in the north-central region of Morocco using a questionnaire in order to highlight knowledge and know-how and to establish an inventory of herbal remedies used in the treatment of diseases common in the region and rarely cited in the bibliography in this case, it is insomnia, asthenia, and oral-gum infections. The results showed that 120 herbalists were interviewed in different areas of the Fez-Meknes region, about 86 species were cited and grouped into 60 families (47 plants to treat asthenia, 25 to treat insomnia, and 21 to treat oral and gum infections). The reported plants have been identified and presented with the binomial name, family, part used, and method of preparation. In addition, the versatility was observed in several plants, indicating that the same plant could be used to treat conditions of different groups. Herbalists are people of both sexes belonging to different age groups and have different socioeconomic and intellectual levels. Eighty percent of surveyed herbalists are willing to provide us information about plants in the studied area. The most cited plants for treating these diseases are Lavandula dentata, Matricaria chamomilla, Rosmarinus officinalis, Allium cepa, Origanum vulgare, Origanum majorana, Marrubium vulgare, Lepidium sativum, and Ocimum basilicum. The Lamiaceae are the most quoted family. The leaves are the most commonly used organs. Infusion is the most common form of preparation. The results of this ethnobotanical study could constitute an important source of information and databases for further research in the fields of phytochemistry and pharmacology in order to find new bioactive molecules. In addition, this document can be used in the protection of indigenous knowledge.Drug development of transformative medicine has compounding complexity as researchers seek to address the varying needs of patients, providers, payers, and policymakers. Patient engagement frameworks and guidance are under development with health authorities that will further guide patient engagement in drug research. Patient insights have been captured in registries, online health networks, and other forums to inform evidence on disease progression and identify gaps in care. Patient representation and disease awareness have improved in partnership with patient advocacy groups that have led to patient-informed drug development. One effort to incorporate the patient voice into early research and development (R&D) is the Patient Insights Database (PID). Currently comprising 102 indications, the PID was developed to uncover trends in mixed methods research data, including direct patient interviews and evidence-based medicine. The database is used to understand patient symptomology, diagnosis, treatment, health-related quality of life (HR-QoL), economic burden, and hope for new therapies, based on patient interviews, patient testimonials, real-world evidence studies, and HR-QoL research. A deep understanding of the patient experience informs internal R&D decisions to bring forth healthcare solutions that address patient needs.Recently, there has been an increasing amount of scientific interest towards the broad theme of racial inequalities and their impact on human health, specifically exploring how ethnic discrimination affects the wellness of black people and the COVID-19 pandemic. Some of these conditions of inequity also affect black children. Discrimination and racism should be routinely considered as causative agents or triggers of disease and routinely included in clinical examination, during history collection and evaluation of vital signs. This will benefit child and family health, worldwide. We shared our recent experience by reporting a case of a 13-year-old black girl who came to Italy from Niger about 3 years earlier through the traumatizing migratory journey. check details She was evaluated in the Pediatric Emergency Department (PED) for sleepiness that had progressively worsened during the last days. We describe the case and how it was handled differently by pediatricians and pediatric trainees with equally different personal and professional backgrounds.We also report the preliminary results of a national survey aimed to assess discrimination and inequalities in Italian Paediatric Residency Schools. Medical ability has been allowing us to respond rapidly to a novel virus in order to save lives. The expertise of doctors and researchers must be used to evaluate this hidden crisis as well, to address racism and injustice and to protect vulnerable people from harm. Our case showed us how it is essential including racial and gender discrimination in a diagnostic process.
The visual examination of colonoscopic images fails to extract precise geometric information of the colonic surface. Reconstructing the 3D surface of the colon from colonoscopic image sequences may thus add valuable clinical information. We address this problem of extracting precise spatio-temporal 3D structure information from colonoscopic images.
Using just the intrinsically calibrated monocular image stream, we develop a technique to compute the depth of certain feature points that have been tracked across images. Our method uses the prior knowledge of an approximate geometry of the colon, called the (TTP). It works by fitting a deformable cylindrical model to points reconstructed independently by non-rigid structure-from-motion (NRSfM), compromising between the data term and a novel tubular smoothing prior. Our method represents the first method ever to exploit a very weak topological prior to improve NRSfM. As such, it lies in-between standard NRSfM, which does not use a topological prior beyond the mere plane, and shape-from-template (SfT), which uses a very strong prior as a full deformable 3D object model.
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