Are virtual services equivalent for mood, anxiety, and bonding? examining a perinatal intensive outpatient program.

Purpose: Perinatal Intensive Outpatient Programs (IOPs) address severe perinatal mood and anxiety disorders (PMADs) and mother-infant relationship concerns. Given the impact of PMADs on mothers and infants, rapid transitions to virtual services (telehealth) amid COVID-19, and service expansions to populations in need, it is critical to evaluate how effectively virtual and in-person perinatal IOP services treat PMADs and mother-infant bonding.

Methods: This quality-improvement record review examined patient records (n = 361) for a perinatal IOP from May 2016 to July 2023, amid multiple transitions between in-person and virtual services related to COVID-19, influenza, and respiratory syncytial virus.

ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular Generation.

The incredible capabilities of generative artificial intelligence models have inevitably led to their application in the domain of drug discovery. Within this domain, the vastness of chemical space motivates the development of more efficient methods for identifying regions with molecules that exhibit desired characteristics. In this work, we present a computationally efficient active learning methodology and demonstrate its applicability to targeted molecular generation.

ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular Generation.

The incredible capabilities of generative artificial intelligence models have inevitably led to their application in the domain of drug discovery. Within this domain, the vastness of chemical space motivates the development of more efficient methods for identifying regions with molecules that exhibit desired characteristics. In this work, we present a computationally efficient active learning methodology that requires evaluation of only a subset of the generated data in the constructed sample space to successfully align a generative model with respect to a specified objective.

Associations of Albumin and BMI with Colorectal Cancer Risk in the Southern Community Cohort Study: a Prospective Cohort Study.

Background: Obesity may increase colorectal cancer (CRC) risk through mechanisms of increased inflammation. Although BMI is the most used adiposity indicator, it may less accurately measure adiposity in Black populations. Herein, we investigate associations between BMI, low albumin as an inflammation biomarker, and CRC risk in a racially diverse cohort.

HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein-Ligand Binding Affinity Prediction.

Applying deep learning concepts from image detection and graph theory has greatly advanced protein-ligand binding affinity prediction, a challenge with enormous ramifications for both drug discovery and protein engineering. We build upon these advances by designing a novel deep learning architecture consisting of a 3-dimensional convolutional neural network utilizing channel-wise attention and two graph convolutional networks utilizing attention-based aggregation of node features. HAC-Net (Hybrid Attention-Based Convolutional Neural Network) obtains state-of-the-art results on the PDBbind v.

Cost-Benefit Analysis versus Cost-Effectiveness Analysis from a Societal Perspective in Healthcare.

Cost-effectiveness analysis (CEA) is the main way that economic evaluations are carried out in the health care field. However, CEA has limited validity in deciding whether any health care evaluation is socially worthwhile and hence justifies funding. Cost-Benefit Analysis (CBA) is the economic evaluation method that should be used to help decide what to invest in when the objective is to record the impact on everyone in society.

Autorepression-Based Conditional Gene Expression System in Yeast for Variation-Suppressed Control of Protein Dosage.

Conditional control of gene expression allows an experimenter to investigate many aspects of a gene's function. In the model organism Saccharomyces cerevisiae, a number of methods to control gene expression are widely practiced, including induction by metabolites, small molecules, and even light. However, all current methods suffer from at least one of a set of drawbacks, including need for specialized growth conditions, leaky expression, or requirement of specialized equipment.

A Novel Approach to Developing Thresholds for Total Dissolved Solids Using Standardized and Experimental Toxicity Test Methods.

The increasing salinization of freshwater streams from anthropogenic land uses and activities is a growing global environmental problem. Increases in individual ions (such as sodium or chloride) and combined measures such as total dissolved solids (TDS) threaten drinking water supplies, agricultural and economic interests, and the ecological health of freshwater streams. Because the toxicity of high ionic strength waters depends on the specific ion composition, few water quality standards exist to protect freshwater streams from salinization.

A precisely adjustable, variation-suppressed eukaryotic transcriptional controller to enable genetic discovery.

Conditional expression of genes and observation of phenotype remain central to biological discovery. Current methods enable either on/off or imprecisely controlled graded gene expression. We developed a 'well-tempered' controller, WTC, for precisely adjustable, graded, growth condition independent expression of genes in .

Direct and Delayed Mortality of Ceriodaphnia dubia and Rainbow Trout Following Time-Varying Acute Exposures to Zinc.

The potential for delayed mortality following short-term episodic pollution events was evaluated by exposing cladocerans (Ceriodaphnia dubia) and rainbow trout (Oncorhynchus mykiss) to zinc (Zn) in various 1- to 48-h and 1- to 96-h exposures, respectively, followed by transferring the exposed organisms to clean water for up to 47 h for C. dubia and up to 95 h for trout for additional observation. For C.

Human germinal centres engage memory and naive B cells after influenza vaccination.

Influenza viruses remain a major public health threat. Seasonal influenza vaccination in humans primarily stimulates pre-existing memory B cells, which differentiate into a transient wave of circulating antibody-secreting plasmablasts. This recall response contributes to 'original antigenic sin'-the selective increase of antibody species elicited by previous exposures to influenza virus antigens.

Chaperone biomarkers of lifespan and penetrance track the dosages of many other proteins.

Many traits vary among isogenic individuals in homogeneous environments. In microbes, plants and animals, variation in the protein chaperone system affects many such traits. In the animal model C.

Behavioral versus Biological Definitions of Dementia Symptoms: Recognizing that Worthwhile Interventions already Exist.

Background: The 2018 Alzheimer's Disease Facts and Figures special report includes two new guidelines for measuring dementia symptoms. The first requires that a biomarker (biological factor) be added to a doctor's clinical judgment of the cause of symptoms when determining whether dementia is present. The second involves identifying four stages of dementia: normal cognition, preclinical, MCI and dementia.

A Cost-Benefit Analysis of Hearing Aids, Including the Benefits of Reducing the Symptoms of Dementia.

We carried out a CBA of hearing aids (HAs) in which we estimated the direct utility benefits, and included the indirect utility benefits working through a reduction in dementia symptoms. The benefits methodology involved using QALYs as the outcome measure and then applying the price of a QALY to convert the outcome measure into monetary terms. The price of a QALY was derived from an age specific VSL estimate.

In vivo measurements reveal a single 5'-intron is sufficient to increase protein expression level in Caenorhabditis elegans.

Introns can increase gene expression levels using a variety of mechanisms collectively referred to as Intron Mediated Enhancement (IME). IME has been measured in cell culture and plant models by quantifying expression of intronless and intron-bearing reporter genes in vitro. We developed hardware and software to implement microfluidic chip-based gene expression quantification in vivo.

Growth of E. coli on Solid Media.

We provide protocols for titering and isolating bacterial colonies from single cells by serial dilutions, for streaking agar plates, and for spreading suspensions of cells on plates. Support protocols describe replica plating and methods for storing strains as agar stabs and frozen stocks. © 2018 by John Wiley & Sons, Inc.

Growth of E. coli in Liquid Medium.

We describe the procedure for inoculating overnight (starter) cultures of E. coli from a single colony, along with considerations for growing larger cultures. We also include two methods for monitoring the number of cells per unit volume (density) of liquid cultures using a spectrophotometer and a hemacytometer or "count slide.

Recipes and Tools for Culture of Escherichia coli.

In this article, we provide information about culture media, including minimal liquid media, rich liquid media, solid media, top agar, and stab agar. We also provide descriptions and useful information about tools used with growth media such as inoculating loops, sterile toothpicks, and spreaders. © 2018 by John Wiley & Sons, Inc.

Deep learning to predict microscope images.

A species of neural network first described in 2015 can be trained to translate between images of the same field of view acquired by different modalities. Trained networks can use information inherent in grayscale images of cells to predict fluorescent signals.

Transferring information without distortion.

Despite employing diverse molecular mechanisms, many different cell signaling systems avoid losing information by transmitting it in a linear manner.

Estimating the monetary benefits of medicare eligibility for reducing the symptoms of dementia.

We adopt a three-component method based on the idea of cost-saving for estimating the monetary benefits of Medicare eligibility for reducing dementia symptoms. The method involves Medicare eligibility lowering dementia symptoms, which reduces the need for dependent living, which in turn lowers caregiving costs. We use the Regression Discontinuity approach to establish a causal link between Medicare eligibility and dementia.

Midwife-assisted planned home birth: an essential component of improving the safety of childbirth in Sub-Saharan Africa.

Hospital births, when compared to out-of-hospital births, have generally led to not only a significantly reduced maternal and perinatal mortality and morbidity but also an increase in certain interventions. A trend seems to be emerging, especially in the US where some women are requesting home births, which creates ethical challenges for obstetricians and the health care organizations and policy makers. In the developing world, a completely different reality exists.

The value of a year's general education for reducing the symptoms of dementia.

We present a method for estimating the benefits of years of education for reducing dementia symptoms based on the cost savings that would accrue from continuing independent living rather than relying on formal or informal carers. Our method for estimating the benefits of education involves three steps: first taking a year of education and seeing how much this lowers dementia, second using this dementia reduction and estimating how much independent living is affected and third applying the change in caregiving costs associated with the independent living change. We apply our method for estimating education benefits to a National Alzheimer's Coordinating Center sample of 17,239 participants at 32 US Alzheimer's disease centres over the period September 2005 and May 2015.

Single-cell profiling screen identifies microtubule-dependent reduction of variability in signaling.

Populations of isogenic cells often respond coherently to signals, despite differences in protein abundance and cell state. Previously, we uncovered processes in the pheromone response system (PRS) that reduced cell-to-cell variability in signal strength and cellular response. Here, we screened 1,141 non-essential genes to identify 50 "variability genes".