Semen analysis is the first step to identify male factor infertility. Standardized methods of semen analysis are available allowing accurate assessment of sperm quality and comparison among ...laboratories. Population-based reference ranges are available for standard semen and sperm parameters. Sperm numbers and morphology are associated with time to natural pregnancy, whereas sperm motility may be less predictive. Routine semen analysis does not measure the fertilizing potential of spermatozoa and the complex changes that occur in the female reproductive tract before fertilization. Whether assisted reproduction technology (ART) is required depends not only on male factors but female fecundity. Newer tests should predict the success of fertilization in vitro and the outcome of the progeny.
Ectodermal dysplasia is a rare genetic disorder characterized by congenital abnormalities of tissues and structures of ectodermal origin, such as the hair, nails, skin, sweat glands, and teeth. ...Common dental characteristics include retained primary teeth, conical shaped incisors and canines, and hypodontia or oligodontia. Early prosthodontic intervention of young patients diagnosed with ectodermal dysplasia is essential as symptoms can have substantial esthetic, functional, and psychosocial impacts. This clinical report describes the fixed prosthodontic treatment of an adolescent patient with ectodermal dysplasia by using a fully digital workflow. Digital workflows streamlined the treatment process and allowed for esthetic, functional, and psychological improvements in an efficient manner.
Patients who have received bariatric surgery have specific and complex dental needs. After surgery, nutrient deficiencies, osteoporosis, gastroesophageal reflux, and changes to the oral cavity may be ...seen, and erosion, caries, wear, xerostomia, hypersensitivity, and changes to the salivary buffering capacity may occur. In addition, patients are advised to ingest smaller, more frequent, meals throughout the day, and the oral condition may decline rapidly after surgery. Without oversight, this accelerated decline may even necessitate complete mouth rehabilitation postoperatively. Dental providers should be an integral part of the multidisciplinary management team of these patients. This clinical report describes a patient with a terminal dentition following bariatric surgery who underwent prosthodontic rehabilitation with a facially driven fully digital workflow.
Amelogenesis imperfecta is a hereditary disorder that affects the enamel formation of the primary and permanent dentition and has significant consequences because hypersensitivity causes difficulty ...with oral hygiene, function, self-esteem, and quality of life. Patients diagnosed with amelogenesis imperfecta often require extensive treatment, often at an early age. Prosthodontic intervention of adolescent patients with amelogenesis imperfecta presents specific clinical challenges. This clinical report describes the fixed prosthodontic rehabilitation of a teenage patient with amelogenesis imperfecta by using a fully digital workflow throughout the treatment process, which facilitated functional, biomechanical, esthetic, and sociopsychological improvements.
This clinical report describes the fixed prosthodontic treatment of an adult patient with ectodermal dysplasia by using a completely digital workflow, from the initial consultation appointment to the ...fabrication of the definitive implant-supported prostheses.
Iron (hydr)oxides are ubiquitous earth materials that have high adsorption capacities for toxic elements and degradation ability towards organic contaminants. Many studies have investigated the ...reactivity of synthetic magnetite, while little is known about natural magnetite. Here, we first report the reactivity of natural magnetites with a variety of elemental impurities for catalyzing the decomposition of H2O2 to produce hydroxyl free radicals (•OH) and the consequent degradation of p-nitrophenol (p-NP). We observed that these natural magnetites show higher catalytic performance than that of the synthetic pure magnetite. The catalytic ability of natural magnetite with high phase purity depends on the surface site density while that for the magnetites with exsolutions relies on the mineralogical nature of the exsolved phases. The pleonaste exsolution can promote the generation of •OH and the consequent degradation of p-NP; the ilmenite exsolution has little effect on the decomposition of H2O2, but can increase the adsorption of p-NP on magnetite. Our results imply that natural magnetite is an efficient catalyst for the degradation of organic contaminants in nature.
A
bstract
We study the LHC discovery potential in the search for heavy neutral leptons (HNL) with a new signature: a displaced shower in the CMS muon detector, giving rise to a large cluster of hits ...forming a displaced shower. A new Delphes module is used to model the CMS detector response for such displaced decays. We reinterpret a dedicated CMS search for neutral long-lived particles decaying in the CMS muon endcap detectors for the minimal HNL scenario. We demonstrate that this new strategy is particularly sensitive to active-sterile mixings with
τ
leptons, due to hadronic
τ
decays. HNL masses between ~ 1–6 GeV can be accessed for mixings as low as |
V
τN
|
2
~10
−7
, probing unique regions of parameter space in the
τ
sector.
Antimicrobial resistance is an increasing issue in healthcare as the overuse of antibacterial agents rises during the COVID-19 pandemic. The need for new antibiotics is high, while the arsenal of ...available agents is decreasing, especially for the treatment of infections by Gram-negative bacteria like
. Antimicrobial peptides (AMPs) are offering a promising route for novel antibiotic development and deep learning techniques can be utilised for successful AMP design. In this study, a long short-term memory (LSTM) generative model and a bidirectional LSTM classification model were constructed to design short novel AMP sequences with potential antibacterial activity against
. Two versions of the generative model and six versions of the classification model were trained and optimised using Bayesian hyperparameter optimisation. These models were used to generate sets of short novel sequences that were classified as antimicrobial or non-antimicrobial. The validation accuracies of the classification models were 81.6-88.9% and the novel AMPs were classified as antimicrobial with accuracies of 70.6-91.7%. Predicted three-dimensional conformations of selected short AMPs exhibited the alpha-helical structure with amphipathic surfaces. This demonstrates that LSTMs are effective tools for generating novel AMPs against targeted bacteria and could be utilised in the search for new antibiotics leads.
PDF
