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Light and electron microscopic studies of anaerobic curved bacteria isolated from the vagina

Twenty strains of anaerobic curved rods isolated from vaginal secretion were studied with light and transmission electron microscopy. Ten of the strains were of a short (approx. 1.5 microns) Gram-variable type, while ten were of a long (approx. 3 microns) Gram-negative type. The former had one to four flagella and the latter between one and eight. The flagella originated from the concave aspect of

Safety-II and the study of healthcare safety routines : Two paths forward for research

Safety routines such as the WHO surgical safety checklist and SBAR have gained widespread attention and implementation in healthcare. However, there has also been criticism. With the ongoing Covid-19 pandemic, the need for knowledge about how safety routines work in practice is larger than ever. In light of these obstacles, I suggest two approaches to the study of healthcare safety routines, based

Induction of enucleation in primary and immortalized erythroid cells

Enucleation is a crucial event during the erythropoiesis, implicating drastic morphologic and transcriptomic/proteomic changes. While many genes deletion lead to failed or impaired enucleation have been identified, directly triggering the erythroid maturation, particularly enucleation, is still challenging. Inducing enucleation at the desired timing is necessary to develop efficient methods to gen

Vesicular drug delivery for the treatment of topical disorders : current and future perspectives

OBJECTIVES: Vesicular drug delivery has become a useful approach for therapeutic administration of pharmaceutical compounds. Lipid vesicles have found application in membrane biology, immunology, genetic engineering and theragnostics. This review summarizes topical delivery, specifically dermal/transdermal, ocular and transungual, via these vesicles, including future formulation perspectives. KEY

Energifattigdom i Sverige

Inom Europa beskriver begreppet energifattigdom de kompromisser som hushållkan möta avseende att å ena sidan ha en tillräckligt uppvärmd bostad, och å andrasidan ha råd med övriga omkostnader. I Sverige har begreppet tidigare inte använts, och kanske heller inte behövts. Men i december 2021 steg elpriserna till nivåer som gjorde att vissa hushåll, där en rad riskfaktorer sammanstrålade, plötsligt

Predicting the Redshift of Gamma-Ray Loud AGNs Using Supervised Machine Learning. II

Measuring the redshift of active galactic nuclei (AGNs) requires the use of time-consuming and expensive spectroscopic analysis. However, obtaining redshift measurements of AGNs is crucial as it can enable AGN population studies, provide insight into the star formation rate, the luminosity function, and the density rate evolution. Hence, there is a requirement for alternative redshift measurement

Human well-being and per capita energy use

Increased wealth and per capita energy use have transformed lives and shaped societies, but energy poverty remains a global challenge. Previous research has shown positive relationships among metrics of health and happiness and economic indices such as income and gross domestic product and between energy use and human development. To our knowledge, however, no comprehensive assessment has examined

Effects of Increasing Salinity by Drip Irrigation on Total Grain Weight Show High Yield Potential of Putative Salt-Tolerant Mutagenized Wheat Lines

Twenty-three lines from a mutagenized Bangladeshi BARI Gom-25 wheat population that included previously identified salt-tolerant lines, and the BARI Gom-25 control variety, were cultivated in a drip-irrigated salinity test field at Salt Farm Texel, Netherlands, to assess their performance during salt stress in European climatic conditions. Lines were tested at irrigation salinity levels of 1, 4, 8

Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques

The use of learning-based methods for vehicle behavior prediction is a promising research topic. However, many publicly available data sets suffer from class distribution skews which limits learning performance if not addressed. This paper proposes an interaction-aware prediction model consisting of an LSTM autoencoder and SVM classifier. Additionally, an imbalanced learning technique, the multicl

Monovalent salt and pH-induced gelation of oxidized cellulose nanofibrils and starch networks : Combining rheology and small-angle X-Ray scattering

Water quality parameters such as salt content and various pH environments can alter the stability of gels as well as their rheological properties. Here, we investigated the effect of various concentrations of NaCl and different pH environments on the rheological properties of TEMPOoxidised cellulose nanofibril (OCNF) and starch-based hydrogels. Addition of NaCl caused an increased stiffness of the

Interactions of water and amphiphiles with deep eutectic solvent nanostructures

Deep eutectic solvents (DES) are extensively hydrogen-bonded eutectic mixtures with low melting points. The presence of H-bonding makes them highly susceptible to interactions with water and also allows them to support amphiphile self-assembly, both for surfactants and biological lipids. Water disrupts the DES nework through intermolecular H-bonding, leading to changes in physicochemical propertie

A Reduced Deck of Conversation Cards of Wishes and Priorities of Patients in Palliative Care

The individual wishes and priorities of patients with advanced disease are too often neglected, making a deck of cards with statements reflecting potential wishes and priorities a useful conversation tool. However, in the most ill patients, the card selection and sorting process may be too strenuous. The aims of this study were to explore the wishes and priorities of patients receiving palliative

Predicting the Onset of Opioid Use Disorder in the Swedish General Population

Objective: Given the public health importance of opioid use disorder (OUD), we sought to understand better its risk predictors in the Swedish general population. Method: We examined the Swedish population, born 1950–1970 (n = 2,092,359), and followed through 2018. Using Cox, logistic, and co-sibling models, we explored associations between a wide range of putative risk factors and a first onset of

Experiences of Occupational Value When Doing Creative Activities in a Mental Health Context

Everything a person does generates a unique experience of occupational value, and occupational values can in turn generate meaning in life. Doing creative activities positively influences subjective health and well-being. This article provides information about how and to what extent people diagnosed with mental illness experienced occupational value when participating in an intervention with crea

Sex-limited chromosomes and non-reproductive traits

Sex chromosomes are typically viewed as having originated from a pair of autosomes, and differentiated as the sex-limited chromosome (e.g. Y) has degenerated by losing most genes through cessation of recombination. While often thought that degenerated sex-limited chromosomes primarily affect traits involved in sex determination and sex cell production, accumulating evidence suggests they also infl

Partnering for Transformation - exploring the concept of Transformative Academic Institutions

Academic institutions are frequently called on to evidence the impact they have on their regional ecosystems whilst at the same time respond to the expectations that they produce globally significant research. This often results in tensions because of the different drivers and rewards of these dual ambitions.This exploratory research project describes how international academic partners across fiv

Prediction of soil cation exchange capacity using enhanced machine learning approaches in the southern region of the Caspian Sea

Cation exchange capacity (CEC) has a key role in soil studies such as agriculture, energy balance, characteristics of the soil for food, maintaining water in the soil as well as soil pollution management. Its measurement is difficult and time-consuming. So, its prediction using artificial intelligent (AI) models with soil readily available properties can be the proper solution. In this study, the